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10.3390/ai4030027
|
Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks
|
Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc. Such problems can be reduced to pattern recognition problems and then modeled from artificial neural networks, whether these problems are classification problems or regression problems. To achieve the goal of neural networks, they must be trained by appropriately adjusting their parameters using some global optimization methods. In this work, the application of a recent global minimization technique is suggested for the adjustment of neural network parameters. In this technique, an approximation of the objective function to be minimized is created using artificial neural networks and then sampling is performed from the approximation function and not the original one. Therefore, in the present work, learning of the parameters of artificial neural networks is performed using other neural networks. The new training method was tested on a series of well-known problems, a comparative study was conducted against other neural network parameter tuning techniques, and the results were more than promising. From what was seen after performing the experiments and comparing the proposed technique with others that have been used for classification datasets as well as regression datasets, there was a significant difference in the performance of the proposed technique, starting with 30% for classification datasets and reaching 50% for regression problems. However, the proposed technique, because it presupposes the use of global optimization techniques involving artificial neural networks, may require significantly higher execution time than other techniques.
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26732688
|
AI
|
10.1007/s00432-023-05141-y
|
Impact of encorafenib on survival of patients with BRAFV600E-mutant metastatic colorectal cancer in a real-world setting
|
Purpose: Patients with BRAFV600E-mutant metastatic colorectal cancer (mCRC) have a dismal prognosis. The best strategies in these patients remain elusive. Against this background, we report the clinical course of patients with BRAFV600E-mutant mCRC to retrieve the best treatment strategy. Patients and methods: Clinico-pathological data were extracted from the electronic health records. Kaplan–Meier method was used to estimate overall (OS) and progression-free survival (PFS). Objective response rate (ORR) was assessed according to RECIST 1.1. Results: In total, 51 patients were enrolled. FOLFOXIRI was administered to 12 patients; 29 patients received FOLFOX or FOLFIRI as first-line treatment. Median OS was 17.6 months. Median PFS with FOLFOXIRI (13.0 months) was significantly prolonged (HR 0.325) as compared to FOLFOX/FOLFIRI (4.3 months). However, this failed to translate into an OS benefit (p = 0.433). Interestingly, addition of a monoclonal antibody to chemotherapy associated with superior OS (HR 0.523). A total of 64.7% patients received further-line therapy, which included a BRAF inhibitor in 17 patients. Targeted therapy associated with very favourable OS (25.1 months). Conclusion: Patients with BRAFV600E-mutated mCRC benefit from the addition of an antibody to first-line chemotherapy. Further-line treatment including a BRAF inhibitor has a dramatic impact on survival.
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14321335
|
ONCOLOGY
|
10.3390/educsci13070754
|
“The Work I Do Matters”: Cultivating a STEM Counterspace for Black Girls through Social-Emotional Development and Culturally Sustaining Pedagogies
|
Central to culturally sustaining pedagogy (CSP) is the notion that we sustain what we love by decentering the white gaze. Elevating CSP and the five core social-emotional learning competencies, we honed in on how Black and Brown girls developed knowledge and skills to manage their emotions, achieve goals, show empathy, and maintain healthy relationships within the context of a single-gender summer STEM program. These opportunities to engage in critical conversations to learn, unlearn, and relearn, while showing up as their full and authentic selves, are not often afforded in traditional STEM classes. This paper focuses on dialogue and interactions amongst four program participants—Samira, Rita, Brandy, and Joy. Critical discourse analysis was employed to challenge the dominance and reproduction of discourses by examining social contexts and systemic structures that they addressed in conversation. Findings revealed the importance of cultivating trusting and intentional learning spaces for Black and Brown girls to engage in open dialogue and critique oppressive discourses. It also displayed the significance of leaning into difficult conversations and pluralism to help adolescent girls realize the complexities of culture while also promoting joy and social-emotional development. Creating spaces that affirm Black and Brown girls matter; their contributions and work that they do matter.
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22277102
|
EDUCATION
|
10.1007/s00432-023-05127-w
|
A nomogram incorporating Ki67 to predict survival of acral melanoma
|
Background: The proliferation marker Ki67 is associated with the progression and prognosis of melanoma. However, its prognostic impact on acral melanoma (AM) remains unclear. Methods: A total of 314 AM patients were enrolled from a cohort of 5758 patients with melanoma at Peking University Cancer Hospital between 2006 and 2018. The patients were divided into Ki67 high- and low-expressing groups using a cut-off value of 30%. The associations between Ki67 and clinicopathologic characteristics as well as survival were analyzed. Cox proportional regression analysis was used to establish a nomogram to predict the survival probabilities of AM. Results: Among 314 patients, the Ki67-high group (Ki67 ≥ 30%) included 49.4% of patients at diagnosis. Patients in the Ki67-high group had lower median melanoma-specific survival (MSS) than those in the Ki67-low group (60.7 months vs. not reached, p < 0.001). In multivariate analyses, Ki67, lymph node metastasis and primary site were independent prognostic factors for MSS. The nomogram showed that Ki67 had the fourth greatest impact on survival, following Breslow thickness, lymph node metastasis and primary site. The C-index of the nomogram was 0.765 and 0.758 in the training and validation cohort, respectively. Area under the curve values were both near 0.8 in the training and validation cohorts. Net reclassification improvement and integrated discrimination improvement demonstrated that the predictive nomogram performed better than the traditional AJCC staging system. Conclusion: Ki67 expression is an independent prognostic factor for MSS in AM. A predictive model incorporating Ki67 and clinical factors was constructed to predict the prognosis of AM.
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14321335
|
ONCOLOGY
|
10.3390/ejihpe13070100
|
Using the DREAM Methodology for Course Assessment in the Field of ICT-Enabled Education for Sustainability
|
This study explores the application of the DREAM methodology for course assessment in three South East Asian universities aiming to embed sustainability and sustainable development goals (SDGs) in multiple academic disciplines enabled by information and communication technologies (ICTs). A mixing of content and thematic analysis was used, which aligns with the underpinning philosophy of the Diagnosing, Reviewing/Reflecting, Explaining, Assessing, Managing (DREAM) methodology. The DREAM methodology integrates five processes, starting from diagnosing, to reviewing/reflecting, explaining, assessing, and, finally, managing. Results show that merging semantic and latent themes has contributed to uncovering what messages students’ narratives convey and provided a space for focusing both on the surface and explicit meanings of the data as well as on theory building and policy making. They also show the effectiveness of the DREAM methodology in constructing new knowledge and generating meaningful interpretations and suggestions to teacher educators and other academic teaching staff, as well as higher education institutions’ policymakers and planners.
|
22549625
|
PSYCHOLOGY
|
10.3390/ai4030028
|
Federated Learning for IoT Intrusion Detection
|
The number of Internet of Things (IoT) devices has increased considerably in the past few years, resulting in a large growth of cyber attacks on IoT infrastructure. As part of a defense in depth approach to cybersecurity, intrusion detection systems (IDSs) have acquired a key role in attempting to detect malicious activities efficiently. Most modern approaches to IDS in IoT are based on machine learning (ML) techniques. The majority of these are centralized, which implies the sharing of data from source devices to a central server for classification. This presents potentially crucial issues related to privacy of user data as well as challenges in data transfers due to their volumes. In this article, we evaluate the use of federated learning (FL) as a method to implement intrusion detection in IoT environments. FL is an alternative, distributed method to centralized ML models, which has seen a surge of interest in IoT intrusion detection recently. In our implementation, we evaluate FL using a shallow artificial neural network (ANN) as the shared model and federated averaging (FedAvg) as the aggregation algorithm. The experiments are completed on the ToN_IoT and CICIDS2017 datasets in binary and multiclass classification. Classification is performed by the distributed devices using their own data. No sharing of data occurs among participants, maintaining data privacy. When compared against a centralized approach, results have shown that a collaborative FL IDS can be an efficient alternative, in terms of accuracy, precision, recall and F1-score, making it a viable option as an IoT IDS. Additionally, with these results as baseline, we have evaluated alternative aggregation algorithms, namely FedAvgM, FedAdam and FedAdagrad, in the same setting by using the Flower FL framework. The results from the evaluation show that, in our scenario, FedAvg and FedAvgM tend to perform better compared to the two adaptive algorithms, FedAdam and FedAdagrad.
|
26732688
|
AI
|
10.1186/s40594-023-00442-7
|
Embracing a culture of talk: STEM teachers’ engagement in small-group discussions about photovoltaics
|
Background: Small-group discussions are well established as an effective pedagogical tool to promote student learning in STEM classrooms. However, there are a variety of factors that influence how and to what extent K-12 teachers use small-group discussions in their classrooms, including both their own STEM content knowledge and their perceived ability to facilitate discussions. We designed the present study to specifically target these two factors in the context of photovoltaics, an interdisciplinary field at the intersection of all STEM disciplines with potential to yield widespread benefits related to the use of solar technologies as a sustainable, renewable energy source. Teachers engaged in a series of small-group discussions based on photovoltaic source material (e.g., scientific articles) to build both their STEM content knowledge and capability with discussions, promoting their potential to design and deliver STEM instruction in their own classrooms using small-group discussion.Results: Overall, teachers productively engaged in rich STEM talk as they spent most of the time in the discussion asking authentic questions about photovoltaic topics in alignment with a variety of science and engineering disciplinary core ideas, responding to the questions with rich, elaborative talk, and taking on ownership of the discussions. Teachers also evidenced increases in their photovoltaic knowledge and their perceived capability to facilitate discussions. Finally, most teachers’ end-of-program lesson plans included the use of small-group discussions, and a subsample of teachers who completed a follow-up interview one year after the summer program reported greater enactment of discussion in their STEM classrooms.Conclusion: Our manuscript forwards an important contribution that draws from a practice-based approach to professional development in a way that not only better prepares teachers on what to teach (i.e., through enhanced PV content knowledge), but it also supports their ability to implement this instruction into their classrooms more effectively (i.e., though the use of small-group discussion). As such, this manuscript illustrates an innovative pedagogical approach for potential use in supporting teacher education and informs ways to enable teachers to build enhanced curricula for their STEM students.
|
21967822
|
EDUCATION
|
10.3390/cancers15153810
|
Characterization of DoTc2 4510—Identifying HPV16 Presence in a Cervical Carcinoma Cell Line Previously Considered to Be HPV-Negative
|
Cervical cancer is the fourth leading cause of cancer deaths in women, with over 340,000 women dying from this disease in 2020. Almost all cases have an underlying persistent infection with an oncogenic high-risk type of human papillomavirus (HPV), mainly HPV16. While cervical squamous cell carcinoma is hardly ever HPV-negative, a small subset of adenocarcinoma exhibits absence of HPV, even after disproval of false-negative testing results due to low viral load. This proportion is evident in many cervical cancer studies and is reflected in the repertoire of model cell lines commonly used in research. As the viral origin of cervical cancer makes it a disease preventable and potentially treatable by immunotherapeutic approaches, it is the focus of many studies. For pertinent research, both a broad set of HPV-infected cervical carcinoma models are required, as well as stringent negative controls. A ubiquitously used HPV-negative cervical adenocarcinoma cell line is C-33A. Another cervical cancer cell line is available for purchase from the American Type Culture Collection (ATCC), namely DoTc2 4510, described to be HPV-negative and thus as a model for a rare gynecological malignancy. Here, we present findings proving that DoTc2 4510 is, in fact, an HPV16-positive cell line. This we assessed using a highly sensitive nested multiplex PCR protocol adapted for the identification of 12 carcinogenic HPV types and a second PCR targeting the HPV16 oncogenes E6 and E7. Subsequently, the protein expression of E6 and E7 was examined, as well as the expression of their target proteins p53, p21, and p16INK4a, to assess E6/E7 functionality. Finally, to attest to the survival dependence of DoTc2 4510 cells on HPV16, we performed an HPV16 E6/E7-targeted siRNA knock-down, which indeed led to senescence induction. Together, these findings demonstrate that DoTc2 4510 is an HPV16-transformed cell line.
|
20726694
|
ONCOLOGY
|
10.3390/cancers15153812
|
Update in Lung Cancer Molecular Pathology: Technological Advances and Clinical Practice
|
This Special Issue of eleven articles, including six original works and five reviews, demonstrates the modern heterogenous approach to lung cancer by means of various methodologies from international experts from various countries
|
20726694
|
ONCOLOGY
|
10.1007/s44196-023-00300-y
|
Hermite–Hadamard-type Inequalities for $$\hbar$$-preinvex Interval-Valued Functions via Fractional Integral
|
We present a comprehensive study on Hermite–Hadamard-type inequalities for interval-valued functions that are $$\hbar$$
|
18756883
|
AI
|
10.3390/ai4030029
|
High-Performance and Lightweight AI Model for Robot Vacuum Cleaners with Low Bitwidth Strong Non-Uniform Quantization
|
Artificial intelligence (AI) plays a critical role in the operation of robot vacuum cleaners, enabling them to intelligently navigate to clean and avoid indoor obstacles. Due to limited computational resources, manufacturers must balance performance and cost. This necessitates the development of lightweight AI models that can achieve high performance. Traditional uniform weight quantization assigns the same number of levels to all weights, regardless of their distribution or importance. Consequently, this lack of adaptability may lead to sub-optimal quantization results, as the quantization levels do not align with the statistical properties of the weights. To address this challenge, in this work, we propose a new technique called low bitwidth strong non-uniform quantization, which largely reduces the memory footprint of AI models while maintaining high accuracy. Our proposed non-uniform quantization method, as opposed to traditional uniform quantization, aims to align with the actual weight distribution of well-trained neural network models. The proposed quantization scheme builds upon the observation of weight distribution characteristics in AI models and aims to leverage this knowledge to enhance the efficiency of neural network implementations. Additionally, we adjust the input image size to reduce the computational and memory demands of AI models. The goal is to identify an appropriate image size and its corresponding AI models that can be used in resource-constrained robot vacuum cleaners while still achieving acceptable accuracy on the object classification task. Experimental results indicate that when compared to the state-of-the-art AI models in the literature, the proposed AI model achieves a 2-fold decrease in memory usage from 15.51 MB down to 7.68 MB while maintaining the same accuracy of around 93%. In addition, the proposed non-uniform quantization model reduces memory usage by 20 times (from 15.51 MB down to 0.78 MB) with a slight accuracy drop of 3.11% (the classification accuracy is still above 90%). Thus, our proposed high-performance and lightweight AI model strikes an excellent balance between model complexity, classification accuracy, and computational resources for robot vacuum cleaners.
|
26732688
|
AI
|
10.1007/s00432-023-04975-w
|
Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study
|
Purpose: As a rare type of tumor, the metastasis pattern of large cell neuroendocrine carcinoma (LCNEC) is still unclear. Our aim was to investigate metastatic patterns and develop a predictive model of prognosis in patients with advanced LCNEC. Methods: Patients of LCNEC diagnosed between 2010–2015 from the Surveillance, Epidemiology and End Results (SEER) database were retrospectively included. Chi-square test was used for baseline characteristics analysis. Survival differences were assessed using Kaplan–Meier curves. Independent prognostic factors identified by multivariate Cox proportional risk model were used for the construction of nomogram. Results: 557 eligible patients with metastasis LCNEC (median (IQR), 64 (56 to 72) years; 323 males) were included in this research. Among patients with isolated metastases, brain metastases had the highest incidence (29.4%), and multisite metastases had worse OS (HR: 2.020: 95% CI 1.413–2.888; P < 0.001) and LCSS (HR: 2.144, 95% CI 1.480–3.104; P < 0.001) in all age groups. Independent prognostic indicators including age, race, T stage, N stage, chemotherapy, radiotherapy and metastatic site were used for the construction of nomogram. Concordance index (C-index) and decision-curve analyses (DCAs) showed higher accuracy and net clinical benefit of nomogram compared to the 7th TNM staging system (OS: 0.692 vs 0.555; P < 0.001; LCSS: 0.693 vs 0.555; P < 0.001). Conclusions: We firstly established a novel comprehensive nomogram to predict the prognosis of metastasis LCNEC. The prognostic model demonstrated excellent accuracy and predictive performance. Chemotherapy and metastasis pattern were the two strongest predictive variables. Close follow-up of patients with LCNEC is necessary to make individualized treatment decisions according to different metastasis patterns.
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14321335
|
ONCOLOGY
|
10.3390/ai4030030
|
Improving Alzheimer’s Disease and Brain Tumor Detection Using Deep Learning with Particle Swarm Optimization
|
Convolutional Neural Networks (CNNs) have exhibited remarkable potential in effectively tackling the intricate task of classifying MRI images, specifically in Alzheimer’s disease detection and brain tumor identification. While CNNs optimize their parameters automatically through training processes, finding the optimal values for these parameters can still be a challenging task due to the complexity of the search space and the potential for suboptimal results. Consequently, researchers often encounter difficulties determining the ideal parameter settings for CNNs. This challenge necessitates using trial-and-error methods or expert judgment, as the search for the best combination of parameters involves exploring a vast space of possibilities. Despite the automatic optimization during training, the process does not guarantee finding the globally-optimal parameter values. Hence, researchers often rely on iterative experimentation and expert knowledge to fine-tune these parameters and maximize CNN performance. This poses a significant obstacle in developing real-world applications that leverage CNNs for MRI image analysis. This paper presents a new hybrid model that combines the Particle Swarm Optimization (PSO) algorithm with CNNs to enhance detection and classification capabilities. Our method utilizes the PSO algorithm to determine the optimal configuration of CNN hyper-parameters. Subsequently, these optimized parameters are applied to the CNN architectures for classification. As a result, our hybrid model exhibits improved prediction accuracy for brain diseases while reducing the loss of function value. To evaluate the performance of our proposed model, we conducted experiments using three benchmark datasets. Two datasets were utilized for Alzheimer’s disease: the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and an international dataset from Kaggle. The third dataset focused on brain tumors. The experimental assessment demonstrated the superiority of our proposed model, achieving unprecedented accuracy rates of 98.50%, 98.83%, and 97.12% for the datasets mentioned earlier, respectively.
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26732688
|
AI
|
10.1007/s44196-023-00294-7
|
An Integrated Fermatean Fuzzy Multi-attribute Evaluation of Digital Technologies for Circular Public Sector Supply Chains
|
The barriers to implementing circular supply chains are well explored, but very little is provided to understand how these barriers play in public sector supply chains. Consequently, the role of digital technologies in addressing these barriers in the circularity of supply chains in the public sector remains a gap. Thus, this study bridges these gaps by evaluating digital technologies according to their relevance in addressing the identified barriers. In particular, eight domain experts who have sufficient knowledge and expertise in the domains of the public sector and circular economy were asked to elicit judgments in order to (1) set a threshold that defines the list of barriers that are significant to supply chains in the public sector, (2) obtain the priority weights of these barriers through the criteria importance through intercriteria correlation (CRITIC), and (3) rank the identified digital technologies based on their relevance in addressing the identified barriers in public sector supply chains using combinative distance-based assessment (CODAS) method, all under a Fermatean fuzzy set environment to account for epistemic uncertainties in judgment elicitation processes. This novel integration of the CRITIC and CODAS methods augmented by Fermatean fuzzy sets forms the methodological contribution of this work. Findings show that barriers associated with regulations restricting the collection of wastes, poor demand or acceptance for environmentally superior technologies, lack of expertise, technology, and information, operational risk, immature recycling technologies, and information sharing and communication were considered critical in managing circular public sector supply chains. The analysis also revealed that ripple effect modeling, simulation, and artificial intelligence are the priority digital technologies. These digital technologies offer efficiency and flexibility to decision-makers in analyzing complex and dynamic scenarios before the deployment of any circularity initiative, providing crucial information in its design and implementation. This paper outlines several managerial insights and offers possible agenda for future research.
|
18756883
|
AI
|
10.1007/s00432-023-05063-9
|
Impact of the COVID-19 pandemic on oncological care in Germany: rapid review
|
Objectives The COVID-19 pandemic affected medical care for chronic diseases. This study aimed to systematically assess the pandemic impact on oncological care in Germany using a rapid review. Methods MEDLINE, Embase, study and preprint registries and study bibliographies were searched for studies published between 2020 and 2 November 2022. Inclusion was based on the PCC framework: population (cancer), concept (oncological care) and context (COVID-19 pandemic in Germany). Studies were selected after title/abstract and full-text screening by two authors. Extracted data were synthesized using descriptive statistics or narratively. Risk of bias was assessed and summarized using descriptive statistics. Results Overall, 77 records (59 peer-reviewed studies and 18 reports) with administrative, cancer registry and survey data were included. Disruptions in oncological care were reported and varied according to pandemic-related factors (e.g., pandemic stage) and other (non-pandemic) factors (e.g., care details). During higher restriction periods fewer consultations and non-urgent surgeries, and delayed diagnosis and screening were consistently reported. Heterogeneous results were reported for treatment types other than surgery (e.g., psychosocial care) and aftercare, while ongoing care remained mostly unchanged. The risk of bias was on average moderate. Conclusions Disruptions in oncological care were reported during the COVID-19 pandemic in Germany. Such disruptions probably depended on factors that were insufficiently controlled for in statistical analyses and evidence quality was on average only moderate. Research focus on patient outcomes (e.g., longer term consequences of disruptions) and pandemic management by healthcare systems is potentially relevant for future pandemics or health emergencies.
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14321335
|
ONCOLOGY
|
10.1007/s00432-023-05172-5
|
Construction and validation of prognostic nomogram and clinical characteristics for ovarian endometrioid carcinoma: an SEER-based cohort study
|
Background: Ovarian endometrioid carcinoma (OEC) is the second most commonly occurring ovarian epithelial malignancy, but the associated prognostic factors remain obscure. This study aimed to analyze independent prognostic factors for patients with OEC and to develop and validate a nomogram to predict the overall survival (OS) of these patients. Methods: Clinical information of patients with OEC (2000–2019) was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were used to identify independent prognostic factors, and nomogram models were constructed using independent prognostic factors. Receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA) were used to verify the accuracy and validity of the nomogram. Kaplan–Meier curves were used to compare the differences in OS and cancer-specific survival (CSS) among subgroups. Results: A total of 4628 patients with OEC were included, being divided into training (n = 3238) and validation (n = 1390) sets (7:3 ratio). On multivariate Cox analysis, AJCC stage, age, tumor size, differentiation, chemotherapy, and lymph node resection were significant predictors of survival outcomes (P < 0.05). Resection of 1–3 lymph nodes in early-stage OEC patients did not significantly prolong OS (P > 0.05), but resection of ≥ 4 lymph nodes in early-stage improved OS and CSS (P < 0.05). The OS of early-stage patients was not related to whether or not they received chemotherapy (P > 0.05). Lymph node resection and chemotherapy significantly improved the prognosis of patients with advanced OEC (P < 0.05). The c-index of nomogram prediction model was 0.782. ROC with good discrimination, calibration plots with high consistency, and DCA with large net benefit rate result in large clinical value. Conclusion: AJCC stage, differentiation, tumor size, age, chemotherapy, and lymph node dissection were prognostic factors of OEC. The constructed nomogram prediction model can effectively predict the prognosis of OEC patients and improve the accuracy of clinical decision-making.
|
14321335
|
ONCOLOGY
|
10.3390/educsci13080778
|
Parent Chats in Education System: During and after the Pandemic Outbreak
|
Digital technology has significantly changed the face of education by, among other things, creating many communication channels between the participants in the process. This study reveals the role of parent chat rooms in supporting the learning process. The pandemic experience has shown that parent chat rooms can serve a controlling and regulatory function, noting problems and inconsistencies in the learning system. The chats contain background routine messages related to informing and “events”, that is, messages of bewilderment, resistance, elation, and other emotional reactions. A total of 143 chats were analyzed, and 326 communication events were identified. During the regular period, the basic topics, including chat rules and regulations (22%), homework (20%), school activities and holidays (24%), and behavioral problems (24%), were evenly distributed, while during the distance learning period, the assignment problems (36%) and technical problems (28%) came to the fore. In the traditional offline period, parents are not direct participants in the educational process, so the information in the chats sometimes comes in a one-sided or distorted form; however, parental activity can serve to improve the educational system and monitor the processes taking place.
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22277102
|
EDUCATION
|
10.3390/ai4030031
|
Applying Few-Shot Learning for In-the-Wild Camera-Trap Species Classification
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Few-shot learning (FSL) describes the challenge of learning a new task using a minimum amount of labeled data, and we have observed significant progress made in this area. In this paper, we explore the effectiveness of the FSL theory by considering a real-world problem where labels are hard to obtain. To assist a large study on chimpanzee hunting activities, we aim to classify various animal species that appear in our in-the-wild camera traps located in Senegal. Using the philosophy of FSL, we aim to train an FSL network to learn to separate animal species using large public datasets and implement the network on our data with its novel species/classes and unseen environments, needing only to label a few images per new species. Here, we first discuss constraints and challenges caused by having in-the-wild uncurated data, which are often not addressed in benchmark FSL datasets. Considering these new challenges, we create two experiments and corresponding evaluation metrics to determine a network’s usefulness in a real-world implementation scenario. We then compare results from various FSL networks, and describe how factors may affect a network’s potential real-world usefulness. We consider network design factors such as distance metrics or extra pre-training, and examine their roles in a real-world implementation setting. We also consider additional factors such as support set selection and ease of implementation, which are usually ignored when a benchmark dataset has been established.
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26732688
|
AI
|
10.1186/s40359-023-01257-5
|
Mental illness stigma among indigenous communities in Bangladesh: a cross-sectional study
|
Background: Mental illnesses stigma is a universal and transcultural phenomenon. While mental illnesses stigma is pervasive in Bangladesh, very little research exists on stigma toward mental illnesses among indigenous communities. This study aimed to investigate the prevailing stigma and the risk factors among different indigenous communities in the Chattogram Hill Tracts (CHT) in Bangladesh. Methods: A cross-sectional survey was carried out and participants were recruited purposively from Rangamati, a South-Eastern district of Bangladesh in the CHT. Participants from various indigenous communities including Chakma, Marma, Rakhine, Tripura, and Pangkhua were recruited. The 28- item Bangla translated version of the Mental Illnesses Stigma Scale was used. Independent-samples t-test, ANOVA, and multiple regression were performed. Results: The results indicate evidence of a gender difference with females reporting more stigma than their male counterparts. Age, gender, socioeconomic status, and monthly income are associated with stigma among indigenous people. Further analyses of the subscales indicated significant differences among sociodemographic variables. Conclusions: The results provide an insight into the prevailing stigma and associate risk factors among indigenous communities. The results may help inform anti-stigma interventions targeting indigenous communities in Bangladesh.
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20507283
|
PSYCHOLOGY
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10.1007/s44196-023-00297-4
|
An Interval-Valued Pythagorean Fuzzy AHP and COPRAS Hybrid Methods for the Supplier Selection Problem
|
Companies must be able to identify their suppliers appropriately and effectively in order to survive in the competitive market conditions. In order to fulfill and surpass the expectations of the consumers and clients, companies need to interact with the relevant suppliers. It is a tough manner for companies to select the best supplier from a large number of relevant alternatives. The selection process of the appropriate supplier involves multiple interacting and competing factors. Generally, the selection process and its results cause a waste of time and money. For this purpose, MCDM methodologies are utilized to manage this complex process efficiently. MCDMs allows for consistent and accurate decision-making as well as the selection of the most appropriate supplier. MCDM is one the most preferred tool to select the best alternative under the conflicting and competitive criteria when the evaluations are made in crisp numbers. Therefore, MCDM methods are preferred in various applications in academia and real life. However, the evaluations could not be always possible with crisp numbers, especially in vague environments or evaluations needs qualitative data. This study is one of the first to combine the AHP and COPRAS supplier selection methods with interval-valued Pythagorean fuzzy (IPF) logic. The effectiveness of these IPF-AHP and IPF-COPRAS evaluations for the supplier selection problem is compared and examined. The experimental results of case scenarios show that IPF is an effective way to apply in decision-making applications. In addition, sensitivity analysis is conducted to evaluate the proposed methodologies. According to sensitivity analysis, the IPF-AHP and IPF-COPRAS be able to illustrate the effects of small changings in criteria weights. Therefore, companies can use the IPF-AHP and IPF-COPRAS to assist their decision-makers in identifying and selecting the best suppliers.
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18756883
|
AI
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10.3390/ejihpe13080103
|
Positive and Negative Impacts of Gamification on the Fitness Industry
|
Gamification features to motivate individuals to exercise have become a trend in the fitness sector that is gaining popularity. It is based on the idea that adding fun and competitive components to workout routines will inspire people to achieve their fitness objectives and maintain a healthy lifestyle. This research study attempts to analyze the literature that explores this concept of gamification in detail, and create a picture of how its implementation has changed fitness and healthy habits. This research incorporated the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach as its research methodology. Search strategy used a set of inclusion-exclusion criteria that helped us examine through hundreds of articles identified in the Web of Science and SCOPUS databases. After exclusive and inclusion criteria, 48 articles were selected to be reviewed in detail. Results have indicated that gamification strategy is a supporting factor to overcome the difficulties of executing exercises. Also, to improve the willingness towards fitness regimens.
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22549625
|
PSYCHOLOGY
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10.3390/ejihpe13080104
|
Personality Traits and Physical Activity: Insights from German University Students
|
This study explores the intriguing relationship between personality traits, self-rated fitness (SRF), and physical activity (PA) variables among German university students (N = 4244) and sheds light on the impact of personality on adherence to PA guidelines. Employing an online cross-sectional study, the short-form of the Big Five Inventory-2 assessed five domains of personality traits (Extraversion, Negative Emotionality, Agreeableness, Conscientiousness, and Open-Mindedness). PA, including sitting time, was assessed using the International Physical Activity Questionnaire (short-form). SRF and muscle-strengthening activities (MSA) were assessed with one item each. Multiple linear and logistic regression analyses examined associations of individual personality trait domains and all domains combined with SFR, PA variables, and adherence to PA guidelines, controlling for sociodemographic, behavioral, and (mental) health covariates. Most reliably, Extraversion and Conscientiousness revealed positive associations with PA variables, while Negative Emotionality yielded inverse relationships with PA variables. For instance, each unit increase in Extraversion corresponded to an additional 17 min of weekly MSA. On the contrary, daily sitting time was unrelated to personality. Of note, high Open-Mindedness was associated with lower odds for adhering to current PA guidelines. The findings have implications for developing targeted interventions that promote a physically active lifestyle and support students’ well-being and academic success.
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22549625
|
PSYCHOLOGY
|
10.3390/cancers15153973
|
Abrogating Metastatic Properties of Triple-Negative Breast Cancer Cells by EGFR and PI3K Dual Inhibitors
|
Triple-negative breast cancer (TNBC) is a devastating BC subtype. Its aggressiveness, allied to the lack of well-defined molecular targets, usually culminates in the appearance of metastases that account for poor prognosis, particularly when they develop in the brain. Nevertheless, TNBC has been associated with epidermal growth factor receptor (EGFR) overexpression, leading to downstream phosphoinositide 3-kinase (PI3K) signaling activation. We aimed to unravel novel drug candidates for TNBC treatment based on EGFR and/or PI3K inhibition. Using a highly metastatic TNBC cell line with brain tropism (MDA-MB-231 Br4) and a library of 27 drug candidates in silico predicted to inhibit EGFR, PI3K, or EGFR plus PI3K, and to cross the blood–brain barrier, we evaluated the effects on cell viability. The half maximal inhibitory concentration (IC50) of the most cytotoxic ones was established, and cell cycle and death, as well as migration and EGFR pathway intervenient, were further evaluated. Two dual inhibitors emerged as the most promising drugs, with the ability to modulate cell cycle, death, migration and proliferation, morphology, and PI3K/AKT cascade players such as myocyte enhancer factor 2C (MEF2C) and forkhead box P1 (FOXP1). This work revealed EGFR/PI3K dual inhibitors as strong candidates to tackle brain metastatic TNBC cells.
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20726694
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ONCOLOGY
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10.1007/s00432-023-05133-y
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Glial cell-derived soluble factors increase the metastatic potential of pancreatic adenocarcinoma cells and induce epithelial-to-mesenchymal transition
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Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive types of cancer, characterized by the spreading of highly metastatic cancer cells, including invasion into surrounding nerves and perineural spaces. Nerves, in turn, can invade the tumor tissue and, through the secretion of neurotrophic factors, chemokines, and cytokines, contribute to PDAC progression. However, the contribution of the nerve-associated glial cells to PDAC progression is not well characterized. Methods: Two murine PDAC cell lines were cultured with the conditioned media (CM) of primary enteric glial cells or IMS32 Schwann cells (SCs). Different properties of PDAC cells, such as invasiveness, migratory capacity, and resistance to gemcitabine, were measured by RT-qPCR, microscopy, and MTT assays. Using a neuronal cell line, the observed effects were confirmed to be specific to the glial lineage. Results: Compared to the control medium, PDAC cells in the glial cell-conditioned medium showed increased invasiveness and migratory capacity. These cells showed reduced E-cadherin and increased N-cadherin and Vimentin levels, all markers of epithelial–mesenchymal transition (EMT). Primary enteric glial cell CM inhibited the proliferation of PDAC cells but preserved their viability, upregulated transcription factor Snail, and increased their resistance to gemcitabine. The conditioned medium generated from the IMS32 SCs produced comparable results. Conclusion: Our data suggest that glial cells can increase the metastatic potential of PDAC cells by increasing their migratory capacity and inducing epithelial-to-mesenchymal transition, a re-programming that many solid tumors use to undergo metastasis. Glial cell-conditioned medium also increased the chemoresistance of PDAC cells. These findings may have implications for future therapeutic strategies, such as targeting glial cell-derived factor signaling in PDAC.
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14321335
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ONCOLOGY
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10.1007/s00432-023-05323-8
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Construction of the survival nomograms for colon cancer patients of different ages based on the SEER database
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Introduction: Three nomograms for predicting the outcomes of early- and late-onset colon cancer (COCA) among patients not stratified by age were constructed using data in the Epidemiology and End Results (SEER) database (1975–2019). The accuracy of the nomogram was then assessed. Method: Clinical data of 6107 patients with COCA were obtained from the SEER database. The patients were randomly divided into training and validation cohorts in a ratio of 7:3. Univariate and multivariate COX analyses of factors that could independently impact the prognosis of COCA were performed, and the corresponding nomograms for early-onset and late-onset COCA were constructed. Calibration curves, ROC curves, and C-index were used to determine the predictive accuracy. The discriminatory ability of the nomograms to assess their clinical utility, which was compared with the TNM staging system of the 8th edition of AJCC, was verified using survival analysis. Result: Tumor primary site, ethnicity, and serum carcinoembryonic antigen (CEA) level significantly impacted the prognosis of colon cancer. Race, brain metastasis, and CEA were independent factors for predicting COCA prognosis. C-index, ROC, and calibration curves demonstrated that the three nomograms were accurate and superior to the traditional TNM staging system. Among the three nomograms, the early-onset COCA nomogram had the highest predictive accuracy, followed by that of colon cancer not stratified by age. Conclusion: Three nomograms for patients not stratified by age, early-onset colon cancer, and late-onset colon cancer were constructed. The accuracies of the nomograms were good and were all superior to the conventional TNM staging system. The early- and late-onset COCA nomograms are useful for clinical management and individualized treatment of COCA patients at different ages.
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14321335
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ONCOLOGY
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10.1007/s44196-023-00316-4
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RETRACTED ARTICLE: Research on the Prediction of the Inauguration Development Direction of College Students’ Entrepreneurship Education Based on Educational Data Mining
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In many related studies, educational data mining technology has been proven to play an important role in predicting the development direction of entrepreneurship education for college students. To further improve the accuracy of the prediction, we chose the grey prediction model as the basic prediction model and automatically optimized the weighting method to improve the model. To solve the problem of predicting the development direction of students’ employment in the guidance of entrepreneurship and employment in colleges and universities, the study selects the grey prediction model as the basic prediction model and chooses the automatic optimization and weighting method to improve the model. Meanwhile, the study establishes a variable system containing six dimensions: academic achievement; physical and mental development; cultural, physical, and artistic quantified status; ideological and political quantified status; scientific and technological innovation quantified status; social work quantified status. The final study used the actual prediction test to analyze the prediction effect. We have selected a variable system consisting of six dimensions, which are the results of extensive research. These dimensions include academic achievement, physical and mental development, cultural/sports/art quantitative status, ideological and political quantitative status, technological innovation quantitative status, and social work quantitative status. Each dimension provides us with important predictions about student entrepreneurship and employment. The results show that the model designed by the survey has only two cases of error in the prediction of 20 actual samples. At the same time, there is no prediction error in the two prediction directions of entrepreneurship and social employment. This shows that the model designed by the study is stable and accurate, and the prediction results are more reliable in the prediction directions of entrepreneurship and social employment. Compared with other relevant research results, our model performs well in predicting accuracy, especially in predicting entrepreneurial and social employment directions, without any prediction errors, indicating that our model has superior performance in predicting stability and accuracy compared to other studies.
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18756883
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AI
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10.1007/s44196-023-00321-7
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RETRACTED ARTICLE: E-commerce User Recommendation Algorithm Based on Social Relationship Characteristics and Improved K-Means Algorithm
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In the era of the Internet, information data continue to accumulate, and the explosive growth of network information explosion leads to the reduction of the accuracy of users’ access to information. To enhance the user experience and purchasing desire of e-commerce users, a e-commerce user recommendation algorithm based on social relationship characteristics and improved K-means algorithm is proposed. It combines the Automatic Time Division Dynamic Topic Model based on adaptive time slice division for building a strength calculation model in view of the characteristics of social relations. Then, it proposes an e-commerce user recommendation algorithm in view of the improved K-means algorithm to improve the accuracy of topic feature extraction and user recommendation. The experiment illustrates that there is no fluctuation in the clustering function of the improved K-means algorithm, and the highest, lowest, and average accuracy remain consistent under the three datasets, with average accuracy of 78.9%, 84.5%, and 95.9%, respectively. The community discovery-based friend recommendation algorithm presented in the study has the highest accuracy, illustrating that improving the K-means algorithm can further improve recommendation accuracy. The accuracy of the feature extraction method in view of alternative cost is 0.63, which improves the accuracy by about 9%. The results indicate that this study can provide technical support for user recommendations on e-commerce platforms.
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18756883
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AI
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10.1186/s40359-023-01288-y
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Qualitative insights from a randomized clinical trial of a mother–child emotional preparation program for preschool-aged children
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Background: Early life stress and adversity conveys risk for emotional, behavioral, and developmental disorders. To address this risk in the preschool population, Mother–Child Emotional Preparation (MCEP) was tested as an in-school dyadic intervention for facilitating mother–child emotional connection through mother–child calming cycles. In a computer-generated block randomized controlled trial enrolling preschool-aged children and their mothers, in partnership with an early childhood learning center, we at Columbia University Irving Medical Center tested effects of MCEP across multiple domains. Within this RCT we designed a qualitative sub-study to understand how MCEP aligns with calming cycle theory and its impact on mothers and the mother–child relationship. Methods: A qualitative researcher observed 14 group MCEP sessions consisting of nurture specialists facilitating reciprocal calming interactions through shared emotional expression between mothers and their preschool-aged children. We conducted two waves of participant interviews in English or Spanish, per participant preference. Participants (n = 8) were majority Hispanic at or below the federal poverty level. Group session observations were coded and analyzed for frequency, co-occurrence, variance by session, and alignment with calming cycle theory, incorporating demographic variables and attendance. Interview transcripts were translated from Spanish to English if needed, then coded and analyzed using thematic analysis. Results: Qualitative analysis revealed mothers’ experiences of MCEP. Data demonstrated that calming position and emotional expression were mutually supportive, and that barriers to connection were calming cycle entry-points, not barriers. At the group level, supported by nurture specialists, fellow participants helped each other progress through calming cycles. Moreover, MCEP adapted to meet individual dyad needs, and mothers described its far-reaching impact. Conclusions: Qualitative methods show that MCEP helps mother–child dyads emotionally connect through the calming cycle and fills a gap in early childhood education services. This study generated insights for quantitative studies and suggested implications for MCEP dissemination. Trial registration: ClinicalTrials.gov, NCT03908268, Registered April 9, 2019—Retrospectively registered.
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20507283
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PSYCHOLOGY
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10.1186/s40594-023-00446-3
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Possibilities and pitfalls of practitioners in trying to apply change theory as viewed through the lens of Reinholz, White, and Andrews “Change theory in STEM higher education: a systematic review”
| null |
21967822
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EDUCATION
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10.1007/s00432-023-05297-7
|
High expression of NOLC1 as an independent prognostic factor for survival in patients with colorectal cancer
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Background As a phosphorylated protein, NOLC1 is mainly located in the nucleus and is highly expressed in a variety of tumors, participating in the regulation of cell proliferation and aging. This study further investigated the role of NOLC1 in colorectal cancer tumors, aiming to provide sufficient scientific evidence for the clinical treatment of colorectal cancer. Methods We used TCGA, GEO, TNMplot, GEPIA, and other databases to explore the expression level of NOLC1 in colorectal cancer patients, as well as the correlation between the clinical characteristics of colorectal cancer patients and their expression, and conducted the prognostic analysis. Immunohistofluorescence (IHF) staining verified the analytical results. Subsequently, KEGG and GO enrichment analysis was used to identify the potential molecular mechanism of NOLC1 promoting the occurrence and development of colorectal cancer. The influence of NOLC1 expression on the immune microenvironment of colorectal cancer patients was further investigated using the TIMER database. GDSC database analysis was used to screen out possible anti-colorectal cancer drugs against NOLC1. Finally, we demonstrated the effect of NOLC1 on the activity and migration of colorectal cancer cells by Edu Cell proliferation assay and Wound Healing assay in vitro. Results Our results suggest that NOLC1 is overexpressed in colorectal cancer, and that overexpression of NOLC1 is associated with relevant clinical features. NOLC1, as an independent risk factor affecting the prognosis of colorectal cancer patients, can lead to a poor prognosis of colorectal cancer. In addition, NOLC1 may be associated with MCM10, HELLS, NOC3L, and other genes through participating in Wnt signaling pathways and jointly regulate the occurrence and development of colorectal cancer under the influence of the tumor microenvironment and many other influencing factors. Related to NOLC1: Selumetinib, Imatinib, and targeted drugs such as Lapatinib have potential value in the clinical application of colorectal cancer. NOLC1 enhances the proliferation and migration of colorectal cancer cells. Conclusions High expression of NOLC1 as an independent prognostic factor for survival in patients with colorectal cancer. NOLC1 enhances the proliferation and migration of colorectal cancer cells. Further studies and clinical trials are needed to confirm the role of NOLC1 in the development and progression of colorectal cancer.
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14321335
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ONCOLOGY
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10.3390/educsci13090914
|
Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning
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In recent years, the rapid growth of online learning has highlighted the need for effective methods to monitor and improve student experiences. Emotions play a crucial role in shaping students’ engagement, motivation, and satisfaction in online learning environments, particularly in complex STEM subjects. In this context, sentiment analysis has emerged as a promising tool to detect and classify emotions expressed in textual and visual forms. This study offers an extensive literature review using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) technique on the role of sentiment analysis in student satisfaction and online learning in STEM subjects. The review analyses the applicability, challenges, and limitations of text- and facial-based sentiment analysis techniques in educational settings by reviewing 57 peer-reviewed research articles out of 236 articles, published between 2015 and 2023, initially identified through a comprehensive search strategy. Through an extensive search and scrutiny process, these articles were selected based on their relevance and contribution to the topic. The review’s findings indicate that sentiment analysis holds significant potential for improving student experiences, encouraging personalised learning, and promoting satisfaction in the online learning environment. Educators and administrators can gain valuable insights into students’ emotions and perceptions by employing computational techniques to analyse and interpret emotions expressed in text and facial expressions. However, the review also identifies several challenges and limitations associated with sentiment analysis in educational settings. These challenges include the need for accurate emotion detection and interpretation, addressing cultural and linguistic variations, ensuring data privacy and ethics, and a reliance on high-quality data sources. Despite these challenges, the review highlights the immense potential of sentiment analysis in transforming online learning experiences in STEM subjects and recommends further research and development in this area.
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22277102
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EDUCATION
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10.3390/ejihpe13090126
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Impacts of a COVID-19 Educational Video: Evaluation of the Influence of Race, Gender, Political Affiliation, Study Major, and Age on Vaccine Acceptance among University Students
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Background: The World Health Organization (WHO) warns that vaccine hesitancy is an ongoing major global health threat. While vaccination against severe acute respiratory syndrome coronavirus (SARS-CoV-2) proves to be an effective strategy in protecting against the disease, vaccine hesitancy represents a major barrier to stopping the spread of the virus. Willingness for vaccination can be influenced by several factors, including education level and health literacy. Although several studies demonstrate the value of video educational programs in improving coronavirus disease 2019 (COVID-19) vaccine knowledge and acceptance, no studies to date have evaluated if race, gender, and other demographic factors impact the influence of an educational video on COVID-19 vaccine knowledge and hesitancy among university students in the United States (U.S.). Aims: This study was conducted to determine the impact of an educational video on U.S. university undergraduate students’ COVID-19 vaccine perception and acceptance. It also aims to evaluate whether demographic factors affect the influence of the video. Methods: An online survey was used to measure perceived understanding and acceptance of COVID-19 vaccines before and after viewing a video regarding the effectiveness and safety of COVID-19 vaccinations. The impact of demographic factors on the Video Influence Score was analyzed. Key results: After viewing the video, respondents’ (n = 285) perceived awareness and acceptance of COVID-19 vaccines significantly increased (p < 0.05). In addition, gender, political party affiliation, age, study major, and influenza vaccination history did not significantly impact the Video Influence Score (p > 0.05). However, African American/Black respondents (3.81 ± 4.24) were significantly more influenced by the video compared to respondents of other races (p < 0.05), such as White/Caucasian (1.91 ± 3.75), Hispanic/Latino (0.17 ± 3.67), Asian (0.29 ± 1.53), and Indigenous American (0.64 ± 2.52). Conclusions: This study suggests the potential impact of an educational video on COVID-19 vaccine perception and acceptance among university students. Despite limitations such as a modest survey response rate, this study provides valuable insight concerning the influential factors affecting vaccine acceptance in diverse student populations. Future studies are warranted to explore how student response to vaccine educational videos may vary depending on students’ racial and cultural backgrounds. Implications: A targeted educational video to promote vaccine acceptance is a valuable tool for public health campaigns to combat vaccine hesitancy. The study also highlights the importance of tailoring interventions to specific demographic groups such as considering racial factors to maximize the impact of educational interventions on vaccine attitudes.
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22549625
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PSYCHOLOGY
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10.3390/cancers15184493
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Treatment of Clival Chordomas: A 20-Year Experience and Systematic Literature Review
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Clival chordomas are rare but aggressive skull base tumors that pose significant treatment challenges and portend dismal prognosis. The aim of this study was to highlight the advantages and limitations of available treatments, to furnish prognostic indicators, and to shed light on novel therapeutic strategies. We conducted a retrospective study of clival chordomas that were surgically treated at our institution from 2003 to 2022; for comparison purposes, we provided a systematic review of published surgical series and, finally, we reviewed the most recent advancements in molecular research. A total of 42 patients underwent 85 surgeries; median follow-up was 15.8 years, overall survival rate was 49.9% at 10 years; meanwhile, progression-free survival was 26.6% at 10 years. A significantly improved survival was observed in younger patients (<50 years), in tumors with Ki67 ≤ 5% and when adjuvant radiotherapy was performed. To conclude, clival chordomas are aggressive tumors in which surgery and radiotherapy play a fundamental role while molecular targeted drugs still have an ancillary position. Recognizing risk factors for recurrence and performing a molecular characterization of more aggressive lesions may be the key to future effective treatment.
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20726694
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ONCOLOGY
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10.1186/s40594-023-00445-4
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Validity, acceptability, and procedural issues of selection methods for graduate study admissions in the fields of science, technology, engineering, and mathematics: a mapping review
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This review presents the first comprehensive synthesis of available research on selection methods for STEM graduate study admissions. Ten categories of graduate selection methods emerged. Each category was critically appraised against the following evaluative quality principles: predictive validity and reliability, acceptability, procedural issues, and cost-effectiveness. The findings advance the field of graduate selective admissions by (a) detecting selection methods and study success dimensions that are specific for STEM admissions, (b) including research evidence both on cognitive and noncognitive selection methods, and (c) showing the importance of accounting for all four evaluative quality principles in practice. Overall, this synthesis allows admissions committees to choose which selection methods to use and which essential aspects of their implementation to account for.
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21967822
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EDUCATION
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10.1186/s40594-023-00448-1
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The role of media in influencing students’ STEM career interest
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Background: Digital media are pervasive in the lives of young people and provide opportunities for them to learn about STEM. Multiple theories argue that the STEM media environment may shape how youth see a STEM career in their future. Yet, little is known about how pre-college digital media consumption may be related to students’ STEM career interest at the beginning of college. The wide variety of STEM media also raises the question of potentially different effects and pathways by media type. In this study, we collected a nationally representative sample of more than 15,000 students in their first year in U.S. colleges and universities. We asked about their career interests at the beginning of college and also asked them to retrospectively report their STEM media consumption during high school. Results: We found that watching STEM-related TV and online videos, as well as playing STEM-related video games during high school, were positively associated with students’ STEM career interests at the beginning of college. However, we also found that STEM media consumption did not impact directly on STEM career interest, but acted through two intermediaries: STEM identity (I and others see me as a STEM person) and three personal career outcome expectations: a high interest in self-development (enhancement and use of talents), and low interests in material status (money, fame, power) and in interpersonal relationships (helping, and working with, other people). Conclusions: This study finds that STEM media have a significant effect in fostering STEM career interest, with most of the effect coming from STEM TV, STEM video viewing, and STEM video games. The effect is mediated mainly through students’ identity and, to a lesser extent, through personal values, such as self-development, material, and interpersonal relationship values. This study suggests that media communication should be mindful of how different platforms may deliver nuanced and varied messages of what STEM careers may afford and who can succeed in STEM.
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21967822
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EDUCATION
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10.3390/educsci13090930
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The Role and Motivation of Pre-Service Teacher (PST) Mentors from Pro-Social to Cognitive-Effective Perspectives
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The purpose of this quantitative descriptive study is to shed light on the driving forces of the mentor’s positions in teacher training processes in Israel. The research is based on an exploratory cross-sectional study which included 170 preservice teacher mentors in the north of Israel. The mentoring position, despite its importance, is often unappreciated, even by the mentors themselves. It is barely rewarded, in money, status, or prestige. The current study focuses on the internal motivation of mentors for choosing to serve in this role in addition to their main role as classroom teachers. In this regard, the theory of cognitive-effective perspective can help us to understand the reasons behind these motivations. Our findings indicate that mentors exhibit internal motivation from the pro-social and cognitive-effective perspectives. The average score for attitudes was M = 2.92 (SD ± 0.42). The total score was higher for the cognitive components than for the effective ones (M = 2.98, SD ± 0.44, and M = 2.85, SD ± 0.52, respectively). The main motivations of the mentors were based on their strong desire to improve the level of teaching in Israel. Contributing to the future of education was a dominant part of their personal educational philosophy. These insights depict the mentor as a pillar of the teacher training community in Israel. Our findings also indicate that, while a supportive school climate and autonomy in the mentor’s role are factors that promote mentoring practices, a lack of theoretical knowledge about teacher training and a lack of clarity about the mentors’ responsibilities are factors that hinder such practices. It is important to address these factors in order to enhance the desirable variables while decreasing the undesirable ones, in order to translate educational philosophy into stable and sustainable improved teacher training processes.
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22277102
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EDUCATION
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10.1007/s00432-023-05365-y
|
Prevalence of mutations in common tumour types in Northern England and comparable utility of national and international Trial Finders
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Purpose: Tumour genomic profiling is of increasing importance in early phase trials to match patients to targeted therapeutics. Mutations vary by demographic group; however, regional differences are not characterised. This was investigated by comparing mutation prevalence for common cancers presenting to Newcastle Experimental Cancer Medicine Centre (ECMC) to The Cancer Genome Atlas (TCGA) and utility of trial matching modalities. Methods: Detailed clinicogenomic data were obtained for patients presenting September 2017–December 2020. Prevalence of mutations in lung, colorectal, breast and prostate cancer was compared to TCGA GDC Data Portal. Experimental Cancer (EC) Trial Finder utility in matching trials was compared to a Molecular Tumour Board (MTB) and commercial sequencing reports. Results: Of 311 patients with advanced cancer, this consisted of lung (n = 131, 42.1%), colorectal (n = 44, 14.1%), breast (n = 36, 11.6%) and prostate (n = 18, 5.6%). More than one mutation was identified in the majority (n = 260, 84%). Significant prevalence differences compared to TCGA were identified, including a high prevalence of EGFR in lung (P = 0.001); RB1 in breast (P = 0.0002); and multiple mutations in prostate cancer. EC Trial Finder demonstrated significantly different utility than sequencing reports in identifying trials (P = 0.007). Conclusions: Regional differences in mutations may exist with advanced stage accounting for prevalence of specific mutations. A national Trial Finder shows utility in finding targeted trials whilst commercial sequencing reports may over-report ‘actionable’ mutations. Understanding local prevalence and trial availability could increase enrolment onto matched early phase trials.
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14321335
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ONCOLOGY
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10.3390/cancers15184549
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Salvage High-Dose-Rate Interventional Radiotherapy (Brachytherapy) Combined with Surgery for Regionally Relapsed Head and Neck Cancers
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(1) Background: to report on the use of high-dose-rate (HDR) interventional radiotherapy (brachytherapy, IRT) as a salvage treatment for patients with regionally relapsed head and neck cancers. (2) Methods: A retrospective study of 60 patients treated with HDR-IRT for loco-regionally relapsed head and neck cancers at our institution (2016–2020). Treatment procedure, results, and related toxicities were collected. Local and overall survival outcomes were analyzed. (3) Results: The median follow-up was 22.4 months. Twenty-nine (48.3%) patients had locoregional recurrences with a median time of 28.9 months. The local-recurrence free-survival was 88.1% and 37.3% at 3 years and 5 years. At the last follow-up, 21 patients were alive and the median time to death was 24 months. The overall survival was 39.2% and 16.6% at 3 years and 5 years. Collectively, there were 28 events of grade ≥ 3 late toxicities recorded in 21 patients (35%). (4) Conclusions: Salvage HDR-IRT combined with surgery offers a second-line curative treatment option for regionally relapsed head and neck cancers with acceptable outcomes and toxicities.
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20726694
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ONCOLOGY
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10.3390/cancers15184567
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Negative Survival Impact of Occult Lymph Node Involvement in Small HER2-Positive Early Breast Cancer Treated by Up-Front Surgery
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(1) Background: The independent negative prognostic value of isolated tumor cells or micro-metastases in axillary lymph nodes has been established in triple-negative breast cancers (BC). However, the prognostic significance of pN0(i+) or pN1mi in HER2-positive BCs treated by primary surgery remains unexplored. Therefore, our objective was to investigate the impact of pN0(i+) or pN1mi in HER2-positive BC patients undergoing up-front surgery on their outcomes. (2) Methods: We retrospectively analyzed 23,650 patients treated in 13 French cancer centers from 1991 to 2013. pN status was categorized as pN0, pN0(i+), pN1mi, and pNmacro. The effect of pN0(i+) or pN1mi on outcomes was investigated both in the entire cohort of patients and in pT1a-b tumors. (3) Results: Of 1771 HER2-positive BC patients included, pN status distributed as follows: 1047 pN0 (59.1%), 60 pN0(i+) (3.4%), 118 pN1mi (6.7%), and 546 pN1 macro-metastases (30.8%). pN status was significantly associated with sentinel lymph node biopsy, axillary lymph node dissection, age, ER status, tumor grade, and size, lymphovascular invasion, adjuvant systemic therapy (ACt), and radiation therapy. With 61 months median follow-up (mean 63.2; CI 95% 61.5–64.9), only pN1 with macro-metastases was independently associated with a negative impact on overall, disease-free, recurrence-free, and metastasis-free survivals in multivariate analysis. In the pT1a-b subgroup including 474 patients, RFS was significantly decreased in multivariate analysis for pT1b BC without ACt (HR 2.365, 1.04–5.36, p = 0.039) and for pN0(i+)/pN1mi patients (HR 2.518, 1.03–6.14, p = 0.042). (4) Conclusions: Survival outcomes were not adversely affected by pN0(i+) and pN1mi in patients with HER2-positive BC. However, in the case of pT1a-b HER2-positive BC, a negative impact on RFS was observed specifically for patients with pN0(i+) and pN1mi diseases, particularly among those with pT1b tumors without ACt. Our findings highlight the importance of considering the pN0(i+) and pN1mi status in the decision-making process when discussing trastuzumab-based ACt for these patients.
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20726694
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ONCOLOGY
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10.3390/ejihpe13090138
|
Body-Related Attentional Bias in Adolescents Affected by Idiopathic Scoliosis
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Attentional biases toward body-related information increase body dissatisfaction. This can lead at-risk populations to develop psychopathologies. This phenomenon has not been extensively studied in girls affected by idiopathic scoliosis. This work aimed to study the cognitive processes that could contribute to the worsening and maintaining of body image disorders in adolescent idiopathic scoliosis. Twenty-eight girls were recruited and tested for body image dissatisfaction through the Scoliosis-Research-Society-22-revised (SRS-22r) questionnaire. Attentional biases towards disease-related body parts were assessed using a computerized visual match-to-sample task: girls were asked to answer as fast and accurately as possible to find the picture matching a target by pressing a button on a computer keyboard. Reaction times (RTs) and accuracy were collected as outcome variables and compared within and between groups and conditions. Lower scores in SRS-22r self-image, function, and total score were observed in scoliosis compared to the control group (p-value < 0.01). Faster response times (p-value = 0.02) and higher accuracy (p-value = 0.02) were detected in the scoliosis group when processing shoulders and backs (i.e., disease-relevant body parts). A self-body advantage effect emerged in the scoliosis group, showing higher accuracy when answering self-body stimuli compared to others’ bodies stimuli (p-value = 0.04). These results provide evidence of body image dissatisfaction and attentional bias towards disease-relevant body parts in girls with scoliosis, requiring clinical attention as highly predisposing to psychopathologies.
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22549625
|
PSYCHOLOGY
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10.3390/educsci13090963
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Guidelines for Supporting a Community of Inquiry through Graded Online Discussion Forums in Higher Education
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Graded online discussion forums allow students to interact with course content, peers, and instructors. These discussions have the potential to enhance students’ learning experiences significantly. By adding graded online discussions to an online structured Master’s program in Education, it was necessary to determine the value of these discussions and their contribution to creating an online community. The purpose of this study, therefore, was to determine how a community of inquiry could support graded online discussions. The study used the Community of Inquiry theoretical framework as its basis. A qualitative exploratory case study design was used, involving eleven purposefully selected participants who were enrolled for a structured master’s program in Education. Data were collected from two sources: feedback from students on their experiences of the online discussions, and the actual online discussions. The data were analyzed using the six-phase thematic analysis approach following a deductive approach. This study revealed that these discussions supported students’ learning and created an online learning community promoting social, cognitive, and teaching presences. These findings have implications for practice. Firstly, fostering social presence is essential for online discussions because it leads to increased engagement, motivation, a sense of belonging, and collaboration. Secondly, online discussions need to be designed with clear guidelines, structured questions, and discussion opportunities. Lastly, online discussions designed to promote cognitive presence challenge students, encourage debate, and assist them in gaining the needed knowledge and higher order thinking skills. Based on these findings, the unique contribution of this study is to provide guidelines for fostering discussion forum participation within the Community of Inquiry (COI) framework. The suggested guidelines can serve as a resource to facilitate effective graded discussion forums in higher education contexts.
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22277102
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EDUCATION
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10.3390/educsci13090961
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Supporting Emergent Writing in Preschool Classrooms: Results of a Professional Development Program
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Emergent writing is a key component of early literacy development and contributes to later school success, yet it receives little attention in most preschool classrooms. This paper presents results of a quasi-experimental study of a teacher professional development package that included writing as one of four focal areas. The study was conducted in 15 Head Start classrooms located in the U.S. state of Hawaiʻi. The participants were 39 lead and assistant teachers and 240 children. Intervention teachers had higher quality writing environments and overall classroom environments, while intervention children showed better outcomes on emergent reading and upper case letter knowledge. Emergent writing was assessed only in the intervention group, where children showed large gains along with changes in code-related skills needed for invented spelling. Results are discussed in terms of recommended practices for early writing instruction and teacher professional development.
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22277102
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EDUCATION
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10.3390/cancers15184627
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Neo-Adjuvant Treatment in Primary Resectable Pancreatic Cancer: A Systematic Review and PRISMA-Compliant Updated Metanalysis of Oncological Outcomes
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Background: Despite advances in treatment, the prognosis of resectable pancreatic adenocarcinoma remains poor. Neoadjuvant therapy (NAT) has gained great interest in hopes of improving survival. However, the results of available studies based on different treatment approaches, such as chemotherapy and chemoradiotherapy, showed contrasting results. The aim of this systematic review and meta-analysis is to clarify the benefit of NAT compared to upfront surgery (US) in primarily resectable pancreatic adenocarcinoma. Methods: A PRISMA literature review identified 139 studies, of which 15 were finally included in the systematic review and meta-analysis. All data from eligible articles was summarized in a systematic summary and then used for the meta-analysis. Specifically, we used HR for OS and DFS and risk estimates (odds ratios) for the R0 resection rate and the N+ rate. The risk of bias was correctly assessed according to the nature of the studies included. Results: From the pooled HRs, OS for NAT patients was better, with an HR for death of 0.80 (95% CI: 0.72–0.90) at a significance level of less than 1%. In the sub-group analysis, no difference was found between patients treated with chemoradiotherapy or chemotherapy exclusively. The meta-analysis of seven studies that reported DFS for NAT resulted in a pooled HR for progression of 0.66 (95% CI: 0.56–0.79) with a significance level of less than 1%. A significantly lower risk of positive lymph nodes (OR: 0.45; 95% CI: 0.32–0.63) and an improved R0 resection rate (OR: 1.70; 95% CI: 1.23–2.36) were also found in patients treated with NAT, despite high heterogeneity. Conclusions: NAT is associated with improved survival for patients with resectable pancreatic adenocarcinoma; however, the optimal treatment strategy has yet to be defined, and further studies are required.
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20726694
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ONCOLOGY
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10.3390/cancers15194679
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Glucocorticoid Receptor Activation in Lobular Breast Cancer Is Associated with Reduced Cell Proliferation and Promotion of Metastases
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Estrogen receptor-positive (ER+) invasive lobular breast cancer (ILC) comprises about ~15% of breast cancer. ILC’s unique genotypic (loss of wild type E-cadherin expression) and phenotypic (small individual round cancer cells that grow in discontinuous nests) are thought to contribute to a distinctive pattern of metastases to serosal membranes. Unlike invasive ductal carcinoma (IDC), ILC metastases often intercalate into the mesothelial layer of the peritoneum and other serosal surfaces. While ER activity is a known driver of ILC proliferation, very little is known about how additional nuclear receptors contribute to ILC’s distinctive biology. In ER+ IDC, we showed previously that glucocorticoid receptor (GR) activity inhibits pro-proliferative gene expression and cell proliferation. Here we examined ER+ ILC models and found that GR activation similarly reduces S-phase entry gene expression and ILC proliferation. While slowing tumor growth rate, our data also suggest that GR activation results in an enhanced metastatic phenotype through increasing integrin-encoding gene expression, extracellular matrix protein adhesion, and mesothelial cell clearance. Moreover, in an intraductal mouse mammary gland model of ILC, we found that GR expression is associated with increased bone metastases despite slowed primary mammary tumor growth. Taken together, our findings suggest GR-mediated gene expression may contribute to the unusual characteristics of ILC biology.
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20726694
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ONCOLOGY
|
10.3390/cancers15194700
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A Single-Center Study of the Impact of the COVID-19 Pandemic on the Organization of Healthcare Service Delivery to Patients with Head and Neck Cancer
|
The aim of this study was to identify and assess the impact of the COVID-19 pandemic on the diagnosis and treatment of head and neck cancer (HNC) patients of the Department of Otolaryngology, Head and Neck Surgery of the 4th Military Teaching Hospital in Wroclaw for whom oncological treatment was planned by a cancer case board between March 2018 and February 2022. We analysed the medical records of 625 patients. In order to verify whether the relationships between the analysed features were statistically significant, the chi-square test of independence and the Student’s t-test for independent samples were used (p < 0.05). Our analysis showed that the impact of the pandemic on the organization of health service delivery to HNC patients was not uniform. The largest difference in the number of formulated treatment plans was observed at the beginning of the pandemic (22.1% reduction compared with the year before the pandemic). During the pandemic, the proportion of patients admitted on the basis of a DILO (diagnosis and oncological treatment) card issued by a primary care physician, instead of a regular referral to hospital, issued also by a primary care physician, was significantly higher compared with the that during the pre-pandemic period. The majority of cancer patients with a oncological treatment planned during the pandemic lived in urban areas. During the pandemic, the number of patients with more-advanced-stage cancer, assessed on the basis of the type of planned treatment (radical vs. palliative), did not increase compared with that during the pre-pandemic period. However, our follow-up period was quite short. It is necessary to intensify activities aimed at promoting health and increasing health awareness in people living in rural areas and setting long-term priorities and objectives for health policies at the national, regional and local levels, with particular focus on this group of people.
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20726694
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ONCOLOGY
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10.1007/s44196-023-00328-0
|
Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples
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Industrial image anomaly detection (AD) is a critical issue that has been investigated in different research areas. Many works have attempted to detect anomalies by simulating anomalous samples. However, how to simulate abnormal samples remains a significant challenge. In this study, a method for simulating anomalous samples is designed. First, for the object category, patch extraction and patch paste are designed to ensure that the extracted image patches come from the objects and are pasted to the objects in the image. Second, based on the statistical analysis of various anomalies’ presence, a combination of data augmentation is proposed to cover various anomalies as much as possible. The method is evaluated on MVTec AD and BTAD datasets; the experimental results demonstrate that our method achieves an overall detection AUC of 97.6% in MVTec AD datasets, outperforming the baseline by 1.5%, and the improvement over VT-ADL method is 4.3% on the BTAD datasets, demonstrating our method’s effectiveness and generalization.
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18756883
|
AI
|
10.1007/s00432-023-05399-2
|
Enhancing prognostic accuracy: a SEER-based analysis for overall and cancer-specific survival prediction in cervical adenocarcinoma patients
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Background: Cervical adenocarcinoma (CA) is the second most prevalent histological subtype of cervical cancer, following cervical squamous cell carcinoma (CSCC). As stated in the guidelines provided by the National Comprehensive Cancer Network, they are staged and treated similarly. However, compared with CSCC patients, CA patients are more prone to lymph node metastasis and recurrence with a poorer prognosis. The objective of this research was to discover prognostic indicators and develop nomograms that can be utilized to anticipate the overall survival (OS) and cancer-specific survival (CSS) of patients diagnosed with CA. Methods: Using the Surveillance, Epidemiology, and End Result (SEER) database, individuals with CA who received their diagnosis between 2004 and 2015 were identified. A total cohort (n = 4485) was randomly classified into two separate groups in a 3:2 ratio, to form a training cohort (n = 2679) and a testing cohort (n = 1806). Overall survival (OS) was the primary outcome measure and cancer-specific survival (CSS) was the secondary outcome measure. Univariate and multivariate Cox analyses were employed to select significant independent factors and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis was utilized to develop predictive nomogram models. The predictive accuracy and discriminatory ability of the nomogram were assessed by employing metrics such as the calibration curve, receiver operating characteristic (ROC) curve, and the concordance index (C-index). Results: Age, Tumor Node Metastasis stages (T, N, and M), SEER stage, grade, and tumor size were assessed as common independent predictors of both OS and CSS. The C-index value of the nomograms for predicting OS was 0.832 (95% CI 0.817–0.847) in the training cohort and 0.823 (95% CI 0.805–0.841) in the testing cohort. Conclusion: We developed and verified nomogram models for predicting 1-, 3- and 5-year OS and CSS among patients with cervical adenocarcinoma. These models exhibited excellent performance in prognostic prediction, providing support and assisting clinicians in assessing survival prognosis and devising personalized treatments for CA patients.
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14321335
|
ONCOLOGY
|
10.1007/s00432-023-05350-5
|
Clinical characteristics of sarcoma patients: a population-based data analysis from a German clinical cancer registry
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Purpose: Sarcomas are a heterogeneous group of malignant neoplasms with a wide range of histological types and occur in almost any anatomic site and side. This study evaluated the prognostic factors in sarcoma patients based on German clinical cancer registry data. Methods: The German clinical cancer register of Saxony-Anhalt was used for all data analyses. Sarcoma cases of all clinical or pathological T-stages (T1a–T4c), all N-stages (N0-3) and M-stages (0–1b) corresponding to the Union for International Cancer Control (UICC) stages I to IVB were considered. In our analyses, 787 cases diagnosed between 2005 and 2022 were included. Further, we assessed the association of cancer-related parameters with mortality and hazard ratios (HR) from the Cox proportional hazard models. We included sex, age at diagnosis, histological grade, T-, N- and M-stages, tumor size, tumor localization and tumor side as parameters in our regression models. Results: The majority of sarcoma patients were diagnosed with leiomyosarcoma (12%), liposarcoma (11%), angiosarcoma (5.3%) and myxofibrosarcoma (2.7%). In our univariate regression models, tumors localized in more than one location, head, face and neck region as well as the pelvis and lower extremity were associated with increased mortality risk (more than one location: HR 7.10, 95% CI 2.20–22.9; head, face and neck: HR 1.35, 95% CI 0.89–2.06; pelvis: HR 1.27, 95% CI 0.86–1.89; lower extremity: HR 1.44, 95% CI 1.05–1.96). Higher histological grades, UICC-grades and TNM-stages were related to a higher mortality risk. Differing histological subtypes had significant influence on overall survival and progression-free survival. Patients diagnosed with fibromyxoid sarcoma, rhabdomyosarcoma and angiosarcoma were related to higher mortality risk compared to other histological subtypes (fibromyxoid sarcoma: HR 5.2, 95% CI 0.71–38.1; rhabdomyosarcoma: HR 2.93, 95% CI 1.44–6.00; angiosarcoma: HR 1.07, 95% CI 0.53–2.18). Conclusions: Histological grade, tumor size, nodal and distant metastasis, tumor localization and histological subtype were determined as prognostic factors in terms of survival.
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14321335
|
ONCOLOGY
|
10.1186/s40594-023-00450-7
|
Gender gap in STEM pathways: the role of secondary curricula in a highly differentiated school system—the case of Chile
|
Background: STEM fields are instrumental in increasing the technological and innovative capacity of the economy. As women are underrepresented in the STEM workforce, diverse strategies have been implemented to boost their preparedness and interest in these fields, including early exposure to academic and vocational STEM courses. Using the case of Chile’s highly differentiated school system, this paper examines the role of secondary curricula on students’ enrollment and persistence in STEM programs offered by vocational postsecondary institutions and universities. In doing so, we seek to identify whether exposure to STEM courses within the academic or vocational tracks translates into fewer gender differences in STEM higher education.Results: Our results reveal that upper-secondary tracks connected to STEM courses are positively associated with enrollment in STEM higher education and, to some degree, persistence. More specifically, exposure to STEM courses in the academic track is the most effective path to boost chances of enrolling in STEM university programs but has no connection to later persistence. In contrast, applied STEM courses within the vocational tracks perform better in the case of STEM programs in postsecondary vocational institutions both in enrollment and persistence. However, this STEM pipeline significantly amplifies gender gaps as males benefit more than women from early exposure to applied STEM courses. We also found that other indirect routes, such as enrolling in STEM university programs from the vocational track with applied STEM courses, boost female participation in these programs, helping reduce gender gaps.Conclusions: While secondary STEM courses attract more female students to STEM higher education, they alone are insufficient to achieve gender equality in STEM fields as gender gaps widen in the more effective routes. In highly differentiated school systems, policymakers and high school leaders should offer increased support to women interested in STEM studies and careers across all secondary tracks to boost female participation in STEM fields. At the same time, all high school students should be able to select both academic and applied STEM courses as a part of their non-mandatory curriculum.
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21967822
|
EDUCATION
|
10.3390/ai4040040
|
Unveiling the Transparency of Prediction Models for Spatial PM2.5 over Singapore: Comparison of Different Machine Learning Approaches with eXplainable Artificial Intelligence
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Aerosols play a crucial role in the climate system due to direct and indirect effects, such as scattering and absorbing radiant energy. They also have adverse effects on visibility and human health. Humans are exposed to fine PM2.5, which has adverse health impacts related to cardiovascular and respiratory-related diseases. Long-term trends in PM concentrations are influenced by emissions and meteorological variations, while meteorological factors primarily drive short-term variations. Factors such as vegetation cover, relative humidity, temperature, and wind speed impact the divergence in the PM2.5 concentrations on the surface. Machine learning proved to be a good predictor of air quality. This study focuses on predicting PM2.5 with these parameters as input for spatial and temporal information. The work analyzes the in situ observations for PM2.5 over Singapore for seven years (2014–2021) at five locations, and these datasets are used for spatial prediction of PM2.5. The study aims to provide a novel framework based on temporal-based prediction using Random Forest (RF), Gradient Boosting (GB) regression, and Tree-based Pipeline Optimization Tool (TP) Auto ML works based on meta-heuristic via genetic algorithm. TP produced reasonable Global Performance Index values; 7.4 was the highest GPI value in August 2016, and the lowest was −0.6 in June 2019. This indicates the positive performance of the TP model; even the negative values are less than other models, denoting less pessimistic predictions. The outcomes are explained with the eXplainable Artificial Intelligence (XAI) techniques which help to investigate the fidelity of feature importance of the machine learning models to extract information regarding the rhythmic shift of the PM2.5 pattern.
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26732688
|
AI
|
10.3390/ai4040041
|
A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features
|
Fruit quality is a critical factor in the produce industry, affecting producers, distributors, consumers, and the economy. High-quality fruits are more appealing, nutritious, and safe, boosting consumer satisfaction and revenue for producers. Artificial intelligence can aid in assessing the quality of fruit using images. This paper presents a general machine learning model for assessing fruit quality using deep image features. This model leverages the learning capabilities of the recent successful networks for image classification called vision transformers (ViT). The ViT model is built and trained with a combination of various fruit datasets and taught to distinguish between good and rotten fruit images based on their visual appearance and not predefined quality attributes. The general model demonstrated impressive results in accurately identifying the quality of various fruits, such as apples (with a 99.50% accuracy), cucumbers (99%), grapes (100%), kakis (99.50%), oranges (99.50%), papayas (98%), peaches (98%), tomatoes (99.50%), and watermelons (98%). However, it showed slightly lower performance in identifying guavas (97%), lemons (97%), limes (97.50%), mangoes (97.50%), pears (97%), and pomegranates (97%).
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26732688
|
AI
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10.1186/s40359-023-01325-w
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The association between social support provision, psychological capital, subjective well-being and sense of indebtedness among undergraduates with low socioeconomic status
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Background: Social support consists of receipt and provision in the interpersonal exchange process. Many studies have explored and verified the effect of received social support. This study focuses on whether and when social support provision can benefit the providers’ positive psychological capital and subjective well-being. Methods: A sample of 732 Chinese undergraduates with low socioeconomic status completed questionnaires on social support provision, psychological capital, life satisfaction, positive affect, negative affect, and sense of indebtedness. Results: The correlation and regression analyses showed that impoverished college students’ social support provision was positively associated with life satisfaction, positive affect, and psychological capital and negatively associated with negative affect. The interaction between the sense of indebtedness and social support provision was negatively associated with life satisfaction, positive affect, and psychological capital, not significantly associated with negative affect. Conclusion: The results demonstrated that giving social support can be as beneficial as receiving social support, and the sense of indebtedness can limit the benefits. Individuals with a lower sense of indebtedness are more likely to benefit from social support provision. The findings have implications for marginalized groups’ subjective well-being and positive psychological capital and show the necessity of guiding individuals to provide social support while maintaining their autonomy.
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20507283
|
PSYCHOLOGY
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10.3390/educsci13100993
|
Teacher Development for Equitable Mathematics Classrooms: Reflecting on Experience in the Context of Performativity
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In this article, we chart the development of one of us—Sue Hough—from a teacher who wanted students to understand to one who gained new critical understandings of student thinking, pedagogy, and the very nature of mathematics. We comment on the role of research interventions and learning communities in this development, with a particular focus on Sue’s encounter with Realistic Mathematics Education and the connections it makes between informal and formal mathematics through the pedagogy of guided reinvention. Development towards teaching that enables all learners to make sense of mathematics requires fundamental changes in pedagogic practice and a reconceptualisation of progress. Bringing about such radical change relies on one further aspect of Sue’s story—the freedom to experiment and learn as a teacher. We note the remoteness of this possibility in a climate of performativity and marketised education, and we discuss the implications of Sue’s journey for our pedagogical responsibilities in professional development today.
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22277102
|
EDUCATION
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10.3390/educsci13100996
|
Homework’s Implications for the Well-Being of Primary School Pupils—Perceptions of Children, Parents, and Teachers
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Teachers and educational researchers explore various approaches to make homework more engaging and enjoyable, intending to improve the well-being and academic performance of primary school students. The study aimed to identify practices with positive and negative effects on students’ well-being when doing homework. The views of those involved in giving, doing, and assessing homework were captured from three perspectives, namely, teachers, students, and parents. In May–June 2022, six online focus groups were conducted with the participation of 13 teachers, 11 parents, and 16 primary school students from a Romanian school. The thematic analysis identified the homework that the children (do not) like; their reactions when they receive, do, and are assessed for such homework; and suggestions on how to improve the homework. The results revealed that homework assignments that make young schoolchildren feel capable, effective, appreciated, and rewarded; homework done in teams in the form of competitions or games; parental involvement in collaborative homework; and homework with creative elements are effective ways that contribute to the well-being of primary school pupils when doing homework. Repetitive, lengthy, tedious, overloaded homework generates frustration, discouragement, and emotional reactions such as crying, abandonment, anxiety, and sleep deprivation.
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22277102
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EDUCATION
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10.1186/s40359-023-01335-8
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Transdiagnostic phenomena of psychopathology in the context of the RDoC: protocol of a multimodal cross-sectional study
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In the past, affective and cognitive processes related to psychopathology have been examined within the boundaries of phenotype-based diagnostic labels, which has led to inconsistent findings regarding their underlying operating principles. Investigating these processes dimensionally in healthy individuals and by means of multiple modalities may provide additional insights into the psychological and neuronal mechanisms at their core. The transdiagnostic phenomena Neuroticism and Rumination are known to be closely linked. However, the exact nature of their relationship remains to be elucidated. The same applies to the associations between Hedonic Capacity, Negativity Bias and different Emotion Regulation strategies. This multimodal cross-sectional study examines the relationship of the transdiagnostic phenomena Neuroticism and Rumination as well as Hedonic Capacity, the Negativity Bias and Emotion Regulation from a RDoC (Research Domain Criteria) perspective. A total of 120 currently healthy subjects (past 12 months) will complete several questionnaires regarding personality, emotion regulation, hedonic capacity, and psychopathologies as well as functional magnetic resonance imaging (fMRI) during cognitive and emotional processing, to obtain data on the circuit, behavioral and self-report level. This study aims to contribute to the understanding of the relationship between cognitive and affective processes associated with psychopathologies as well as their neuronal correlates. Ultimately, a grounded understanding of these processes could guide improvement of diagnostic labels and treatments. Limitations include the cross-sectional design and the limited variability in psychopathology scores due to the restriction of the sample to currently healthy subjects.
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20507283
|
PSYCHOLOGY
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10.3390/ejihpe13100150
|
A Qualitative Study to Explore the Life Experiences of Older Adults in Oman
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Background: Reminiscence studies and life reviews have a number of proven advantages. Future generations gain by learning from elders’ life experiences, as do older adults themselves who share their memories. Despite Oman’s sizable geriatric population, research on older individuals’ life experiences is scarce. Therefore, this study aimed to explore the life experiences of older Omani individuals across their many life stages, from childhood to the present. Methods: This was a qualitative study design. Convenience sampling was employed and conducted from December 2021 to October 2022. A total of 13 Omani older adults (9 females and 4 males), with an average age of 68 years, were recruited for this study (response rate = 34%). Socio-demographic and life review information was gathered according to a set of semi-structured guiding questions. The responses were then captured on audio recordings, which underwent transcription and translation. Thematic analysis techniques were applied to the extracted data. Results: Three main themes were evident in this study’s findings: childhood memories, friendships, and relationships, as well as the elders’ past. Additionally, older adults passed on a number of gems of wisdom to be shared with the younger generations. Conclusions: This study aided in revealing the resiliency, social connections, and life reflections of Omani older adults. These themes can guide the creation of age-inclusive laws, social support initiatives, and healthcare services specifically designed to satisfy the special requirements and ambitions of the elderly population. Based on these themes, this study recommended that the local community or society build a more sympathetic and compassionate atmosphere that honors and respects the accomplishments of this essential group by recognizing and comprehending the complex experiences of older adults. In addition, future studies could explore particular aspects of these older experiences and pinpoint solutions to improve their quality of life and wellbeing.
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22549625
|
PSYCHOLOGY
|
10.1186/s40359-023-01345-6
|
PsyCARE study: assessing impact, cost-effectiveness, and transdiagnostic factors of the Italian ministry of health’s “psychological bonus” policy
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Background: The prevalence of anxiety and depression disorders is surging worldwide, prompting a pressing demand for psychological interventions, especially in less severe cases. Responding to this need, the Italian government implemented the “Psychological Bonus” (PB) policy, allotting 25 million euros for mental health support. This policy entitles individuals to a minimum of four to twelve psychological sessions. In collaboration with the National Board of Italian Psychologists, our study assesses this policy’s effectiveness. Indeed, the PsyCARE study aims to examine the utilization of the Psychological Bonus, evaluate its impact on adult and adolescent participants’ psychological well-being through pre- and post-intervention assessments and six-month follow-up, and conduct a longitudinal cost-effectiveness analysis of this policy. A secondary aim is to investigate the influence of these interventions on transdiagnostic factors, including emotion regulation and epistemic trust. Methods: The study involves licensed psychotherapists and their patients, both adults and adolescents, benefiting from the Psychological Bonus. Data collection is underway and set to conclude in December 2023. Psychotherapists will provide diagnostic information and assess patient functioning. In addition, patients will be evaluated on mental health aspects such as clinical symptoms, emotion regulation, epistemic trust, and quality of life. We will employ linear mixed-effects models to analyze the outcomes, accounting for both fixed and random effects to capture the hierarchical structure of the data. Discussion: We anticipate the study’s findings will highlight reduced psychological distress and improved quality of life for participants and demonstrate the Psychological Bonus policy’s cost-effectiveness. The study will gather data on the role of specific versus nonspecific therapeutic factors in psychotherapy while adopting a patient-tailored approach to identify effective therapeutic elements and examine transdiagnostic factors. Overall, this study’s findings will guide future measures within the Italian healthcare system, fostering a psychological health culture and providing valuable insights to the broader public. Study registration:
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20507283
|
PSYCHOLOGY
|
10.1186/s40359-023-01302-3
|
Assessment of the mind-body connection: preliminary psychometric evidence for a new self-report questionnaire
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Objectives: While interoceptive self-report scales provide a foundation for measuring the mind-body connection, they variably consider other important factors that could influence interpretations of internal bodily sensations and perceptions related to mind-body integration. The proposed Body-Mind Connection Questionnaire (BMCQ) aimed to operationalise the notion that this construct involves three major components: (a) Interoceptive Attention, (b) Sensation-Emotion Articulation, and (c) Body-Mind Values. Methods: Following panel review and piloting with the target population, the developed BMCQ was evaluated in 316 participants (189 identifying as female) aged 18-50 (MAge=30.78), alongside established self-report measures of interoceptive sensibility, body awareness, sensory processing sensitivity, and alexithymia. We examined the BMCQ factor structure through exploratory factor analysis and analysed convergent and discriminant validity. Results: Exploratory factor analysis supported three scales of the BMCQ, which explained 54.03% of variance. Factor loadings (>0.44) and reliability indices (0.74 to 0.85) were acceptable. Inter-scale correlations suggested that the scales are distinct but related (rs=0.38 to 0.59). BMCQ scales were supported by convergent (r=0.33 to 0.67) and discriminant evidence (rs=0.01 to 0.39, p range n.s. to <.05). Conclusions: Preliminary psychometric properties indicate that the BMCQ is multidimensional and consists of three constructs that differentially relate to theoretically associated measures. Interoceptive Attention, Sensation-Emotion Articulation, and Body-Mind Values may serve as a basis for efficiently assessing the mind-body connection more holistically, which could be useful for developing interventions aimed at enhancing mind-body integration.
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20507283
|
PSYCHOLOGY
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10.3390/ejihpe13100153
|
Assessing the Relationship between Prosocial Behavior and Well-Being: Basic Psychological Need as the Mediator
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Previous research has established a positive link between prosocial behavior (PB) and psychological well-being. However, limited studies have explored the relationship between PB and well-being (WB), particularly among vocational students. Furthermore, the underlying mechanisms, including mediating factors, remain understudied in this context. This study aimed to investigate the association between PB and WB among vocational students while examining the mediating role of basic psychological needs. A sample of 221 vocational students (mean age = 19.68 years, SD = 1.57) completed anonymous questionnaires assessing PB, basic psychological needs, and WB. The results revealed a positive correlation between PB and WB in vocational students (r = 0.22, p < 0.01), with basic psychological needs partially mediating this relationship (β = 0.14, t = 10.85, p < 0.001, 95% CI = (0.18, 0.23)). These findings enhance our understanding of the association between PB and vocational students’ WB, shed light on the mechanisms involved, and offer insights into promoting the well-being of vocational students.
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22549625
|
PSYCHOLOGY
|
10.3390/ejihpe13100156
|
Meaning in Life and Loneliness as Mediators between COVID-19 Anxiety and Life Satisfaction in the Post-Pandemic among the General Population in Turkey: A Serial Mediation Model
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The COVID-19 pandemic has impacted global society, leading to negative well-being and mental health outcomes. However, little is known about how COVID-19-related anxiety affects life satisfaction through psychological factors. This study examined the mediating roles of meaning in life and loneliness in the relationship between COVID-19 anxiety and life satisfaction in 333 Turkish general population (59.2% females; Mage = 33.9 ± 7.8). Participants completed measures of COVID-19 anxiety, life satisfaction, meaning in life, and loneliness. The results showed that COVID-19 anxiety predicted meaning in life, loneliness, and life satisfaction. Meaning in life predicted loneliness and life satisfaction, while loneliness predicted life satisfaction. Serial mediation analysis revealed that COVID-19 anxiety predicts life satisfaction through meaning in life and loneliness, even after controlling for age and gender. These findings contribute to our understanding of the underlying mechanisms between COVID-19 anxiety and life satisfaction, with implications for future research and practice.
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22549625
|
PSYCHOLOGY
|
10.3390/ai4040045
|
Algorithms for All: Can AI in the Mortgage Market Expand Access to Homeownership?
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Artificial intelligence (AI) is transforming the mortgage market at every stage of the value chain. In this paper, we examine the potential for the mortgage industry to leverage AI to overcome the historical and systemic barriers to homeownership for members of Black, Brown, and lower-income communities. We begin by proposing societal, ethical, legal, and practical criteria that should be considered in the development and implementation of AI models. Based on this framework, we discuss the applications of AI that are transforming the mortgage market, including digital marketing, the inclusion of non-traditional “big data” in credit scoring algorithms, AI property valuation, and loan underwriting models. We conclude that although the current AI models may reflect the same biases that have existed historically in the mortgage market, opportunities exist for proactive, responsible AI model development designed to remove the systemic barriers to mortgage credit access.
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26732688
|
AI
|
10.1007/s00432-023-05441-3
|
Hedgehog pathway in sarcoma: from preclinical mechanism to clinical application
|
Sarcomas are a diverse group of malignant neoplasms of mesenchymal origin. They develop rarely, but due to poor prognosis, they are a challenging and significant clinical problem. Currently, available therapeutic options have very limited activity. A better understating of sarcomas’ pathogenesis may help develop more effective therapies in the future. The Sonic hedgehog (Shh) signaling pathway is involved in both embryonic development and mature tissue repair and carcinogenesis. Shh pathway inhibitors are presently used in the treatment of basal cell carcinoma. Its increased activity has been demonstrated in many sarcomas, including osteosarcoma, Ewing sarcoma, chondrosarcoma, rhabdomyosarcoma, leiomyosarcoma, and malignant rhabdoid tumor. In vitro studies have demonstrated the effectiveness of inhibitors of the Hedgehog pathway in inhibiting proliferation in those sarcomas in which the components of the pathway are overexpressed. These results were confirmed by in vivo studies, which additionally proved the influence of Shh pathway inhibitors on limiting the metastatic potential of sarcoma cells. However, until now, the efficacy of sarcomas treatment with Shh pathway inhibitors has not been established in clinical trials. The reason for that may be the non-canonical activation of the pathway or interactions with other signaling pathways, such as Wnt or Notch. In this review, we present the Shh signaling pathway's role in the pathogenesis of sarcomas, including both canonical and non-canonical signaling. We also propose how this knowledge could be potentially translated into clinics.
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14321335
|
ONCOLOGY
|
10.1007/s00432-023-05446-y
|
Contributing and limiting factors to guideline-adherent therapy in senior and elderly breast cancer patients: a questionnaire-based cross-sectional study using clinical and cancer registry data in Germany
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Purpose: Elderly cancer patients are less likely to be treated in accordance with evidence-based guideline recommendations. This study examines patient-related factors associated with deviations from guideline recommendations. Methods: Using medical documentation and cancer registry data, we investigated the treatment courses of female breast cancer patients aged 50 and older in Germany regarding compliance with German guidelines. Participants completed a questionnaire querying factors hypothesized to be associated with guideline adherence. We conducted univariate analyses to explore the data and select variables for multivariate logistic regression to estimate adjusted odds ratios. Results: Of 1150 participants, 206 (17.9%) were treated in deviation from guideline recommendations. Patients 70 years and older were more likely to be treated deviating from guideline recommendations than patients 50–69 years old (OR: 2.07; 95% CI: 1.52–2.80). Patients aged 50–69 years who reported that quality of life guided their treatment decision were more likely to be treated in deviation from guideline recommendations (AOR: 2.08; 95% CI: 1.11–3.92) than the elderly. In older patients, higher age was associated with an increased chance of receiving guideline-discordant care (AOR: 1.06; 95% CI: 1.01–1.11), as was depression diagnosed prior to cancer (AOR: 1.84; 95% CI: 1.00–3.40). Conclusion: Reasons for deviations from guideline recommendations in breast cancer patients differ by age. In decision-making concerning elderly patients, particular attention should be paid to those with pre-existing depressive disorders. Adequately addressing their needs and concerns could prevent inappropriate deviations from guideline recommendations.
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14321335
|
ONCOLOGY
|
10.3390/ejihpe13100158
|
From Policies to Practices: Factors Related to the Use of Inclusive Practices in Portugal
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Inclusion is considered a foundation for quality education, and teachers’ inclusive practices are essential for success in mainstream classrooms. Portugal has been making progressive improvements in its policies for inclusive education, although there is little consistency in school practices within or between schools. Moreover, data identifying the personal and career variables relevant to teachers’ inclusive practices in Portugal are scarce. Therefore, the purpose of this study was to determine the relationship between teachers’ inclusive practices and personal and career-based characteristics, including gender, level of teaching, years of experience, roles performed at school, and perception of inclusive resources. The participants were 924 teachers who worked in private and public schools in Portugal. Regression analysis showed that perceived inclusive resources, level of teaching, and gender predicted variance in inclusive practices. Mean difference analyses revealed that teachers at the lower levels of teaching, females, and teachers reporting more inclusive resources had the highest scores for inclusive practices. These findings are discussed in terms of their practical relevance for inclusive school systems.
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22549625
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PSYCHOLOGY
|
10.3390/ai4040046
|
From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems
|
The current endeavor of moving AI ethics from theory to practice can frequently be observed in academia and industry and indicates a major achievement in the theoretical understanding of responsible AI. Its practical application, however, currently poses challenges, as mechanisms for translating the proposed principles into easily feasible actions are often considered unclear and not ready for practice. In particular, a lack of uniform, standardized approaches that are aligned with regulatory provisions is often highlighted by practitioners as a major drawback to the practical realization of AI governance. To address these challenges, we propose a stronger shift in focus from solely the trustworthiness of AI products to the perceived trustworthiness of the development process by introducing a concept for a trustworthy development process for AI systems. We derive this process from a semi-systematic literature analysis of common AI governance documents to identify the most prominent measures for operationalizing responsible AI and compare them to implications for AI providers from EU-centered regulatory frameworks. Assessing the resulting process along derived characteristics of trustworthy processes shows that, while clarity is often mentioned as a major drawback, and many AI providers tend to wait for finalized regulations before reacting, the summarized landscape of proposed AI governance mechanisms can already cover many of the binding and non-binding demands circulating similar activities to address fundamental risks. Furthermore, while many factors of procedural trustworthiness are already fulfilled, limitations are seen particularly due to the vagueness of currently proposed measures, calling for a detailing of measures based on use cases and the system’s context.
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26732688
|
AI
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10.1186/s40359-023-01373-2
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A psychometric study of an executive function assessment instrument (TDI-FE)
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Background: This study aims to present and discuss the psychometric properties of executive functions, which were measured using the TDI-FE instrument. The analysis encompasses its internal structure, potential sensitivity to fatigue factors, relationships with external criteria, and diagnostic accuracy. Methods: The study sample comprised 382 students from Brazil, aged 6–8 years. Child development variables were screened using the TDI-FE and gold standard tests (Cancellation Attention and Trail Making Tests). The proposed scale comprised four activities: a test with fruit images with three tasks, and one memory game. Results: The one-factor model of EF of the TDI-FE failed to fit to the data. However, fit substantially improved once a latent fatigue factor was controlled in the model. The latent factor of EF assessed by the TDI-FE tasks was coherently associated with a series of external variables, including two popular collateral measures of EF. The diagnostic accuracy was reasonable, and a cut-off of 37 points produced 70% of sensitivity and 60% of specificity. Conclusion: Results indicated that the TDI-FE demonstrated sound psychometric properties and diagnostic accuracy, then consisting of an efficient alternative for the assessment of EFs in early childhood education. The study also proved the need to control for response biases such as fatigue in the latent variable models of EF. The TDI-FE is notable because of its low cost and easy application, and it might fulfill a need for instruments for individuals from different contexts at this stage of development in Brazil.
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20507283
|
PSYCHOLOGY
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10.3390/cancers15205002
|
Modulatory Properties of Aloe secundiflora’s Methanolic Extracts on Targeted Genes in Colorectal Cancer Management
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Colon tumors have a very complicated and poorly understood pathogenesis. Plant-based organic compounds might provide a novel source for cancer treatment with a sufficient novel mode of action. The objective of this study was to analyze and evaluate the efficacy of Aloe secundiflora’s (AS) methanolic extracts on the expression of CASPS9, 5-LOX, Bcl2, Bcl-xL, and COX-2 in colorectal cancer (CRC) management. Caco-2 cell lines were used in the experimental study. In the serial exhaustive extraction (SEE) method, methanol was utilized as the extraction solvent. Upon treatment of CASPS9 with the methanolic extracts, the expression of the genes was progressively upregulated, thus, dose-dependently increasing the rate of apoptosis. On the other hand, the expressions of 5-LOX, Bcl2, and Bcl-xL were variably downregulated in a dose-dependent manner. This is a unique novel study that evaluated the effects of AS methanolic extracts in vitro on CRC cell lines using different dosage concentrations. We, therefore, recommend the utilization of AS and the application of methanol as the extraction solvent of choice for maximum modulatory benefits in CRC management. In addition, we suggest research on the specific metabolites in AS involved in the modulatory pathways that suppress the development of CRC and potential metastases.
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20726694
|
ONCOLOGY
|
10.3390/cancers15205014
|
The Carcinogenic Potential of Bisphenol A in the Liver Based on Transcriptomic Studies
|
Bisphenol A (BPA) is an environmental toxin widely used in the production of polycarbonate plastics. A correlation exists between BPA tissue contamination and the occurrence of pathological conditions, including cancer. First-passage detoxification of high BPA amounts in the liver promotes hepatotoxicity and morphological alterations of this organ, but there is a lack of knowledge about the molecular mechanisms underlying these phenomena. This prompted us to investigate changes in the liver transcriptomics of 3-month-old female mice exposed to BPA (50 mg/kg) in drinking water for 3 months. Five female mice served as controls. The animals were euthanized, the livers were collected, and RNA was extracted to perform RNA-seq analysis. The multistep transcriptomic bioinformatics revealed 120 differentially expressed genes (DEGs) in the BPA-exposed samples. Gene Ontology (GO) annotations indicated that DEGs have been assigned to many biological processes, including “macromolecule modification” and “protein metabolic process”. Several of the revealed DEGs have been linked to the pathogenesis of severe metabolic liver disorders and malignant tumors, in particular hepatocellular carcinoma. Data from this study suggest that BPA has a significant impact on gene expression in the liver, which is predictive of the carcinogenic potential of this compound in this organ.
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20726694
|
ONCOLOGY
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10.1007/s44196-023-00341-3
|
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
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Clustering is a grouping technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different sources in the last decade, new paradigms have emerged. Multiclustering is a new concept within clustering that attempts to simultaneously generate multiple clusters that are bound to be different from each other, allowing to analyze and discover hidden patterns in the dataset compared to single clustering methods. This paper presents a hybrid methodology based on an evolutionary approach with the concepts of hyperrectangle for multiclustering, called MultiCHCClust. The algorithm is applied in a post-processing stage and it improves the results obtained for a clustering algorithm with respect to the partitioning of the dataset and the optimization of the number of partitions, achieving a high degree of compactness and separation of the partitioned dataset as can be observed in a complete experimental study.
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18756883
|
AI
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10.3390/ai4040047
|
Deep Learning Performance Characterization on GPUs for Various Quantization Frameworks
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Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep learning performance, such as training time, latency, throughput, energy consumption, and memory usage in the training and inference stages. To solve these challenges, various optimization techniques and frameworks have been developed for the efficient performance of deep learning models in the training and inference stages. Although optimization techniques such as quantization have been studied thoroughly in the past, less work has been done to study the performance of frameworks that provide quantization techniques. In this paper, we have used different performance metrics to study the performance of various quantization frameworks, including TensorFlow automatic mixed precision and TensorRT. These performance metrics include training time and memory utilization in the training stage along with latency and throughput for graphics processing units (GPUs) in the inference stage. We have applied the automatic mixed precision (AMP) technique during the training stage using the TensorFlow framework, while for inference we have utilized the TensorRT framework for the post-training quantization technique using the TensorFlow TensorRT (TF-TRT) application programming interface (API).We performed model profiling for different deep learning models, datasets, image sizes, and batch sizes for both the training and inference stages, the results of which can help developers and researchers to devise and deploy efficient deep learning models for GPUs.
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26732688
|
AI
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10.3390/educsci13101047
|
The Contribution of Educational Psychology to South African Preservice Teacher Training and Learner Support
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Teacher education programmes are developed around the theoretical and practical understanding of child development, learning, assessment, behaviour management and motivation, which are areas of expertise in educational psychology. This paper aims to (a) critically investigate the contribution of educational psychology in the training of preservice teachers at South African universities and (b) understand the distribution of educational psychologists in public schools to support teaching and learning. A narrative literature review and email requests for unpublished documents from four educational psychologists were used as methods to collect literature in order to answer the following questions: What contribution does educational psychology make to training preservice teachers at public universities in South Africa? What contributions do educational psychologists make to support learners in South African public schools? Analysis was carried out by identifying recurring patterns in the literature reviewed. This study found that of the 26 public universities in South Africa, there are only 6 universities that offer educational psychology programmes. Educational psychology programmes in higher education institutions are in decline, leading to a decrease in the number of qualified educational psychologists. This decline negatively affects the involvement of educational psychologists in training preservice teachers in educational psychology modules or courses. Therefore, the inclusion of educational psychology as a core or fundamental module in the curriculum of preservice teachers to avoid dependence on the decreasing number of educational psychologists in higher education institutions is key. An increase in teacher training programmes in higher education should be merged with an equal increase in educational psychology core or fundamental courses in the curriculum of preservice teachers.
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22277102
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EDUCATION
|
10.1186/s40359-023-01383-0
|
Structural modeling of EFL/ESL teachers’ physical activity, mental health, psychological well-being, and self-efficacy
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Background: Physical activity (PA) is known to positively affect individuals’ mental and physical health, especially those who experience high levels of stress, such as teachers. Previous studies have examined the relationship between teachers’ PA, mental health, and well-being. Still, there is a lack of research on the direct and indirect effects of PA and self-efficacy. Purpose: This study aimed to investigate the structural relationship between teachers’ PA, mental health, well-being, and self-efficacy among ESL/EFL teachers. A total of 364 Chinese English language teachers were selected through convenience sampling. Mental health, physical activity, psychological well-being, and self-efficacy instruments were used. Methodology: The data was analyzed using Smart PLS software, and the hypothesized model was evaluated. The results indicated an acceptable level of divergent and convergent validity and goodness of fit. Results: The findings revealed that PA directly predicts teachers’ mental health and well-being, but the direct structural relationship between teachers’ PA and self-efficacy was not confirmed. However, the results showed that teachers’ PA contributes to their self-efficacy by enhancing their mental and psychological well-being. The total effect of teachers’ PA on their self-efficacy was significant. Additionally, mental health and psychological well-being strongly influenced teachers’ self-efficacy. Conclusion: In conclusion, regular weekly physical activity can help EFL/ESL teachers foster their mental health, psychological well-being, and self-efficacy. These findings have theoretical and practical significance for teachers, trainers, and educational psychologists.
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20507283
|
PSYCHOLOGY
|
10.3390/educsci13101050
|
Earning Your Way into General Education: Perceptions about Autism Influence Classroom Placement
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The language used by teachers, school staff, and parents to talk about autistic students can send either positive or negative messages to other school staff, parents, and all students—with or without autism—about autistic students. Ultimately, these messages also extend to autistic people. Using qualitative focus group methods, we talked to parents, teachers, administrators, and other school staff to better understand how people speak about the inclusion of autistic students in general education classrooms in public schools. Overall, we found that many of our participants thought (1) autistic students need to earn their way into general education classrooms, unlike their peers without disabilities, (2) segregating students with disabilities away from their peers without disabilities is acceptable, and sometimes preferable, in school settings, and (3) there is power in inclusive education opportunities for students with and without disabilities in school settings. The findings from this study suggest that inclusive opportunities for autistic students were largely driven by stakeholder mindsets. These results should encourage school staff to think about and reflect on how they talk about autistic students in inclusive settings with the ultimate goal of creating more welcoming inclusive environments for autistic students.
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22277102
|
EDUCATION
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10.3390/educsci13101053
|
“I’d Rather Do It Single-Handed”—Nursing Students’ Struggles with Group Assignments: A Qualitative Study
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This study, framed by the GRPI (Goal, Role, Process, and Interaction) teamwork model, explores team dynamics among nursing students in performing group assignments, utilizing a qualitative research design. Twenty-three nursing students from Year 1 to Year 4 at a nursing school in Macau were invited. Semi-structured personal interviews were carried out. In addition, three teachers who were involved in instructing and assessing group assignments of nursing students were also interviewed. Data were analyzed using inductive and deductive approaches. The study found that although the barriers to accomplishing effective teamwork were embedded into the four dimensions of the DRPI model, they were interplayed. Communication was fundamental for teamwork, thus leading to a modified DRPI model. Teammates did not equally share the workload. Despite interpersonal conflicts among teammates, nursing students managed to stay in superficial harmony with their peers. They became more familiar with teamwork while advancing into their senior years but with decreased group communications. This study highlights various factors preventing students from transferring individualism to team players. Teaming is not an equal learning opportunity for teammates. Culturally upheld value of harmony prevails in the interpersonal relationships of the team members, which may compromise the teamwork spirit cultivation expectations from the teachers.
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22277102
|
EDUCATION
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10.3390/cancers15205087
|
The Different Roles of MET in the Development and Treatment of Cancer
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This Special Issue features contributions from leading international researchers in the field of MET (hepatocyte growth factor (HGF) receptor) biology and therapeutics
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20726694
|
ONCOLOGY
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10.1186/s40594-023-00454-3
|
Integrating artificial intelligence into science lessons: teachers’ experiences and views
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Background: In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teachers to teach AI as a stand-alone subject as it is not a traditional discipline in schools. As such, subject matter teachers may need to take on the responsibility of integrating AI content into discipline-based lessons to help students make connections and see its relevance rather than present AI as separate content. This paper reports on a study that piloted a new lesson package in science classrooms to introduce students to the idea of AI. Specifically, the AI-integrated science lesson package, designed by the research team, provided an extended activity that used the same context as an existing lesson activity. Three science teachers from different schools piloted the lesson package with small groups of students and provided feedback on the materials and implementation. Findings: The findings revealed the teachers’ perceptions of integrating AI into science lessons in terms of the connection between AI and science, challenges when implementing the AI lesson package and recommendations on improvements. First, the teachers perceived that AI and science have similarities in developing accurate models with quality data and using simplified reasoning, while they thought that AI and science play complementary roles when solving scientific problems. Second, the teachers thought that the biggest challenge in implementing the lesson package was a lack of confidence in content mastery, while the package would be challenging to get buy-in from teachers regarding curriculum adaptation and targeting the appropriate audience. Considering these challenges, they recommended that comprehensive AI resources be provided to teachers, while this package can be employed for science enrichment programs after-school. Conclusions: The study has implications for curriculum writers who design lesson packages that introduce AI in science classrooms and for science teachers who wish to contribute to the development of AI literacy for teachers and the extension of the range of school science and STEM to students.
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21967822
|
EDUCATION
|
10.3390/educsci13111070
|
The Past, the Present, and the Future of the Evolution of Mixed Reality in Teacher Education
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The authors in this article provide a historical view (past) on the development of mixed reality (MR) simulation in teacher education as well as a brief history of simulation from other fields along with foundational knowledge on the evolution of simulation. The authors provide a systematic review of the current state (present) of the research in MR for teacher education within the past 5 years aligned with the research question “What are the uses, practices, and outcomes of MR simulation in teacher preparation?”. Three themes were identified, i.e., simulation to this point is designed by teacher educators, feedback matters in impacting outcomes, and practice is safe and reflective for those who prepare teachers in these environments. A summary is provided of these key articles and the findings. The authors conclude the article by sharing the potential evolution (future) of aspects of the model of MR, focusing on the use of AI agents and multi-modal data collection, including biometric signals, providing insights into simulation in teacher education.
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22277102
|
EDUCATION
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10.1186/s40359-023-01389-8
|
Examining specific and non-specific symptoms of the best-fitting posttraumatic stress disorder model in conflict-exposed adolescents
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Background: The 5th revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) construes PTSD symptoms into 4 clusters (intrusion, avoidance, negative alterations in cognitions and mood, alterations in arousal and reactivity; Model 1). However, recent literature has shown that this symptom structure does not best represent PTSD. Unfortunately, the findings of studies investigating the proposed alternative models are from consensus. Adding to the complexity of the issue of symptom-grouping models is the identification of specific and non-specific symptoms of PTSD. The present study aims to address these gaps by identifying the best-fitting PTSD model and subsequently examining what symptoms are considered specific and non-specific to PTSD in adolescent-survivors of armed political conflict and violence. Methods: The study utilized a sample of 641 adolescent victim survivors. We conducted CFA analyses and compared nested models through the scaled χ2 difference test, while comparison of non-nested models was done using the Bayesian information criterion (BIC). The best-fitted model was used in the consequent analysis, where we statistically controlled for the effect of non-specific psychological distress on PTSD by comparing the factor loadings and factor correlations before and after accounting for distress using the Aroian z-test. Results: The results provide support for the 7-factor hybrid model of PTSD over other proposed models for the current sample. Moreover, the data reveal that only 7 items could be construed as core symptoms, while the rest of the symptoms can be considered non-PTSD specific. Conclusions: Overall, the findings provide support for the validity of the hybrid PTSD model among political conflict-exposed adolescents. The results also show that the DSM-5 PTSD has both specific and non-specific features in the present sample of conflict-exposed adolescents. This has potential implications for theory, practice, and treatment of the disorder.
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20507283
|
PSYCHOLOGY
|
10.1007/s00432-023-05470-y
|
Diagnostic accuracy of contrast-enhanced computed tomography in assessing cervical lymph node status in patients with oral squamous cell carcinoma
|
Objective: Accurate preoperative prediction of lymph node (LN) status plays a pivotal role in determining the extension of neck dissection (ND) required for patients with oral squamous cell carcinoma (OSCC). This study aims to evaluate the diagnostic accuracy of contrast-enhanced computed tomography (CT) in detecting LN metastases (LNMs) and to explore clinicopathological factors associated with its reliability. Methods: Data from 239 patients with primary OSCC who underwent preoperative CT and subsequent radical surgery involving ND were retrospectively reviewed. Suspicious LNs were categorized into three groups: accentuated (< 10 mm), enlarged (≥ 10 mm), and melted. Statistical analysis encompassing correlation and comparative analysis, and determination of sensitivity, specificity, PPV, and NPV were performed. Results: Overall, sensitivity was significantly higher in the accentuated LNs group (83.54%) compared to the melted LNs group (39.24%, p < 0.05, t test). Conversely, specificity was significantly higher in the melted LNs group (98.19%) compared to the accentuated LNs group (55.15%, p < 0.05, t test). Accentuated LNs exhibited a false negative rate of 13.00%. False positive rates were 51.80%, 30.26% and 8.82%, respectively. Diagnostic accuracy for detecting LNMs in level IIa and IIb exceeded that of level III. Patients with solely accentuated LNs were more likely to have a small, well-differentiated tumor. However, no distinctions emerged in terms of the occurrence of T4 tumors among the three groups. Conclusion: CT proves sufficient to predict LNMs in patients with OSCC. Looking ahead, the potential integration of artificial intelligence and deep learning holds promise to further enhance the reliability of CT in LNMs detection. However, this prospect necessitates further investigation.
|
14321335
|
ONCOLOGY
|
10.3390/educsci13111076
|
Attitude Construction toward Invasive Species through an Eco-Humanist Approach: A Case Study of the Lesser Kestrel and the Myna
|
The green school in northern Israel has embraced an eco-humanist approach with the aim of mitigating the animosity displayed by fifth-grade students towards invasive species. This antipathy arose due to the negative impact of these invasive species on a local species that the students were monitoring as a component of their environmental education curriculum. Therefore, the purpose of this study was to examine to what extent, if at all, there is a difference in the ethical attitude of the 188 fifth-grade students (10–11 years old) towards the conflict between the Lesser Kestrel (local species) and the Myna (invader species) and the solution to this conflict following the change to an eco-humanist teaching approach. The study, based on content analysis methodology of written self-reflection, and thematic analysis indicated that the fifth-graders’ knowledge was not adversely affected, but the solutions they proposed for resolving the conflict between the Myna and the Lesser Kestrel were more holistic, ethical, and moral after adopting the eco-humanist approach. Eco-humanism encourages an ethical attitude and environmental responsibility toward nature’s fate, including invasive species.
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22277102
|
EDUCATION
|
10.3390/ejihpe13110164
|
Motivational Influences on Health, Well-Being, and Lifestyle: Validation of the Spanish Version of the Treatment Self-Regulation Questionnaire in Four Health Domains
|
Background: Motivation is a central concept in self-determination theory (SDT). The Treatment Self-Regulation Questionnaire (TSRQ), which assesses motivation (autonomous, controlled, etc.), has been widely used. However, less is known about its applicability to samples such as college students, who may be at risk of having unhealthy behavior in many areas (including smoking, poor dietary habits, alcohol, or tobacco consumption). As this population is transitioning to adulthood, research is needed to understand motivation and changing health patterns. In addition, the lack of instruments for this population in Spain has made the measurement validation process a priority. The purpose of this psychometric study was to adapt the TSRQ to Spanish college students and to examine its structural and validity across four health domains. Methods: Two samples of Spanish college students (n = 347 and n = 244) agreed to participate in the study. Participants completed a booklet containing measures of motivation, well-being, general health, anxiety, depression, and lifestyle. Results: CFA supported a five-dimensional structure in each domain. Reliability values were also adequate for each questionnaire. Regarding other sources of validity, statistically significant relationships between self-determination, health, and well-being were clearly confirmed, and autonomy was a significant predictor of lifestyle. Conclusions: The Spanish version of the TSRQ showed adequate psychometric properties (dimensionality and internal structure, reliability, and validity evidence regarding its relationships with other constructs) in college students. The Spanish TSRQ will provide future research aimed to understand the motivational role in college students’ health behavior and well-being.
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22549625
|
PSYCHOLOGY
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10.1186/s40594-023-00453-4
|
Authentic STEM education through modelling: an international Delphi study
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Background: The literature asserts that science, technology, engineering, and mathematics (STEM) education needs to be authentic. Although models and modelling provide a basis from which to increase authenticity by bridging the STEM disciplines, the idea of authentic STEM education remains challenging to define. In response, the aim of this study is to identify consensus on significant elements of authentic STEM education through models and modelling. Views were gathered anonymously over three rounds of questions with an expert panel. Responses were subjected to a multimethod analysis that pursued identification, consensus, and stability in the panel’s revealed propositions and themes around authentic STEM education through modelling. Results: The panel reached high consensus concerning the potential of STEM education to support learning across traditional subject borders through authentic problem solving. The panel also consented that modelling is indispensable for achieving real-world relevance in STEM education, and that model-based integrated STEM education approaches provide opportunities for authentic problem solving. Furthermore, results showed that integrating individual STEM subjects during teaching, in terms of including disciplinary knowledge and skills, requires specialised competence. Here, technology and engineering subjects tended to implicitly underpin communicated teaching activities aimed at STEM integration. Conclusions and implications: The panellists stress that STEM disciplines should be taught collaboratively at the same time as they are not in favour of STEM as a subject of its own but rather as a cooperation that maintains the integrity of each individual subject. Many respondents mentioned integrated STEM projects that included modelling and engineering design, although they were not specifically labelled as engineering projects. Thus, real-world STEM education scenarios are often viewed as being primarily technology and engineering based. The panel responses also implicate a need for multiple definitions of authenticity for different educational levels because a great deal of uncertainty surrounding authenticity seems to originate from the concept implying different meanings for different STEM audiences. These international Delphi findings can potentially inform integrated STEM classroom interventions, teacher education development, educational resource and curriculum design.
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21967822
|
EDUCATION
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10.1007/s44196-023-00350-2
|
Hybrid Sine Cosine Algorithm with Integrated Roulette Wheel Selection and Opposition-Based Learning for Engineering Optimization Problems
|
The sine cosine algorithm (SCA) is widely recognized for its efficacy in solving optimization problems, although it encounters challenges in striking a balance between exploration and exploitation. To improve these limitations, a novel model, termed the novel sine cosine algorithm (nSCA), is introduced. In this advanced model, the roulette wheel selection (RWS) mechanism and opposition-based learning (OBL) techniques are integrated to augment its global optimization capabilities. A meticulous evaluation of nSCA performance has been carried out in comparison with state-of-the-art optimization algorithms, including multi-verse optimizer (MVO), salp swarm algorithm (SSA), moth-flame optimization (MFO), grasshopper optimization algorithm (GOA), and whale optimization algorithm (WOA), in addition to the original SCA. This comparative analysis was conducted across a wide array of 23 classical test functions and 29 CEC2017 benchmark functions, thereby facilitating a comprehensive assessment. Further validation of nSCA utility has been achieved through its deployment in five distinct engineering optimization case studies. Its effectiveness and relevance in addressing real-world optimization issues have thus been emphasized. Across all conducted tests and practical applications, nSCA was found to outperform its competitors consistently, furnishing more effective solutions to both theoretical and applied optimization problems.
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18756883
|
AI
|
10.3390/educsci13111085
|
“A Common Danger Unites”: Reflecting on Lecturers’ Higher Education Experiences during the COVID-19 Pandemic Using an Ethnographic Fictional Analysis
|
The sudden transition of Higher Education (HE) from predominately face-to-face to online delivery during the COVID-19 pandemic lockdowns placed many lecturers in unfamiliar situations. This study aimed to explore and represent the experiences of lecturers working in HE during this time. We used a storytelling approach to represent an amalgamation of experiences collated from lecturers. Data were collected using (i) a focus group interview, (ii) reflections on our experiences, and (iii) experiences alluded to by academics via online blogs. The data were presented using an ethnographic fiction. Salient experiences detailed throughout the ethnographic fiction include (i) challenges building a community between colleagues, academics, and students; (ii) concerns regarding the capacity of institutions and staff to deliver online; (iii) a lack of synergy between the expectations of staff to fulfil duties and the reality of being able to do so in time; (iv) the challenges of engaging students; (v) concerns regarding the accessibility of online learning for a diverse body of students; and (vi) challenges with work–life balance. The ethnographic fiction provides a voice for HE lecturers who candidly shared their experiences of working during the pandemic. Stakeholders are encouraged to develop their own interpretations of the story and apply these to policy and practice.
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22277102
|
EDUCATION
|
10.3390/educsci13111089
|
Conceptions of Portuguese Science Teachers on the Concept of Ecoethics
|
Ecoethics is a philosophical subject that studies the moral relationship of human beings concerning the environment and its non-human components. Education for ecoethics addresses issues of how to live, how to make environmental choices, and how to think about the consequences of human activities. It is important that, firstly, the concept of ecoethics is clear to all involved, including teachers and students. Knowing that teachers’ conceptions strongly influence their practice, and since no studies with teachers in active service were found, it was considered pertinent to investigate the conceptions of Portuguese Biology and Geology teachers about the concept of ecoethics. For data collection, a questionnaire was applied at a national level, with a related open-ended question. Categories of analysis were defined a priori and then the responses were classified based on those categories. The main results show that most respondents define ecoethics as ethics applied to the environment; almost a tenth relate the concept to issues concerning the preservation of life or the quality of life. Given the influence of teachers on students’ education, a focus on teachers’ training in ecoethics is essential as a starting point for an effective approach to ecoethics issues that can contribute to solving environmental problems.
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22277102
|
EDUCATION
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10.3390/educsci13111094
|
Enhancing English Acquisition: Effects of among us Game-Based Gamification on Language Competence, Motivation, Attention, and Attitude towards the English Subject
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This study aimed to ascertain if there was a significant impact on the acquisition of English language competence, motivation, attention, and emotions towards English as a Second Language (ESL) after the development of gamification based on the famous Among us game with primary education students aged 7–8 years (n = 24) from a state school in Ciudad Real (Castilla-La Mancha). An experimental method with a pretest–post-test design was considered, in which the control group followed a transmission instructional model, and the experimental group underwent an eight-session gamified experience using Information and Communication Technologies (ICT). Four ad hoc tests were designed and implemented to assess writing, reading, speaking, and listening skills, while various test adaptations were used to measure attention and motivation variables. The results show that gamification helped to improve the variables analyzed, showing significant enhancements in reading from the experimental group, as well as a more positive attitude towards the English subject, increased active participation, and fewer negative inclinations towards mistakes. The study suggests that incorporating gamification can have a positive impact on learning outcomes and may serve as a means of bridging linguistic inequalities and promoting equitable access to language learning opportunities. However, further research is necessary to explore the potential of gamification in this regard.
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22277102
|
EDUCATION
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10.3390/educsci13111100
|
Maintaining Tensions: Braiding as an Analogy for Mathematics Teacher Educators’ Political Work
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Although the field of mathematics education has made gains in centering the need for justice-oriented approaches and antiracist teaching practices in teacher education, much of this work remains in its infancy. Moreover, research focused on this area highlights teacher candidates’ knowledge and dispositions and often ignores the role of the mathematics teacher educators facilitating the process. We contend that mathematics teacher educators must pay more attention to how intersectional identities, contexts, Mirror Tests, and principles of Rehumanizing Mathematics manifest in teacher education to better understand how teacher candidates develop political knowledge in teaching mathematics. To this end, we introduce a framework of considerations, which we call a compass, that identifies four dimensions (or strands) and offers guiding questions for mathematics teacher educators to consider. We offer examples from a multi-site research study to illuminate each dimension and build the case for the necessity of braiding the four strands together as we engage in this line of work. Implications for practice and future research are discussed.
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22277102
|
EDUCATION
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10.3390/ejihpe13110172
|
Does Equine Interaction Facilitate Emotional Safety and Learning for College Students within an Agricultural-Based Classroom?
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Effective teaching requires an educational environment that promotes learning, and yet, developing such an environment can be challenging within today’s agricultural-based classroom for educators due to the trend to a more virtual teaching format and less hands-on learning. Animal interaction, particularly equine activities, has been shown to assist educators in the development of an emotionally safe environment for promoting learning. However, research is lacking as to whether the interaction with the animal needs to be direct or indirect within the collegiate educational environment to observe benefits. Therefore, the objective of this study was to determine the impact of equine interaction, both direct and indirect, within an educational environment on the emotional safety and learning for the college student within the agricultural-based classroom. Three course types were observed within the agricultural-based educational environment that included courses with no equine interaction (Group A) and courses with equine interaction, both direct (Group B) and indirect (Group C) interaction with the horse. Indirect interaction included items such as observation of equine handling via a video or gaining knowledge from reading online materials, but not engaging in direct, hands-on activities with the horse. Development of emotional safety within the students enrolled within these courses was measured using a self-reporting emotional safety evaluation. Due to the structure of the scale, a decrease in emotional safety indicated a positive change. Learning, both development of semantic and procedural memory, was measured using a student-completed knowledge examination and an instructor-completed skill evaluation, respectively. While significant improvement in emotional safety was not observed within any of the course types, a weak negative correlation was found between emotional safety and semantic memory for students enrolled in equine courses, both direct (R = −0.55, R2 = 0.28) and indirect (R = −0.25, R2 = 0.06) interaction, finding as emotional safety scores lowered to the ideal range that knowledge improved. In addition, students within equine courses showed semantic memory development in specific areas of equine sciences (Group B: Grooming/Tacking, p = 0.03; Group C: Equine Behavior, p = 0.04) and direct equine interaction resulted in development of equine-based procedural memory in all four skill areas measured within the study (p = 0.00). As such, learning is promoted through equine interaction, whether direct or indirect interaction, within the agricultural-based classroom, suggesting that both forms of equine interaction can be a valuable educational tool for the instructor within the collegiate setting.
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22549625
|
PSYCHOLOGY
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10.1186/s40594-023-00455-2
|
Exploring the multifaceted roles of mathematics learning in predicting students' computational thinking competency
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Background: There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed to enhance our understanding of the connections between students' mathematics learning and computational thinking. To assess students' mathematics learning, we measured their beliefs about mathematics learning and their level of mathematical literacy (ML). Our hypothesis posited that students' beliefs concerning mathematics learning, encompassing their views on the nature of mathematics and their attitude towards the subject, can both directly and indirectly influence their CT, with ML serving as a mediating factor. Our data were gathered through surveys and tests administered to eighth- and ninth-grade students. Data were analyzed using partial least squares–structural equation modeling (PLS–SEM).Results: The evaluation of the measurement model indicated strong internal consistency for each construct. Both convergent and discriminant validity were also established. Upon assessing the structural model, it was found that beliefs about the nature of mathematics positively predicted attitudes towards mathematics, and this belief also indirectly predicted ML through positive attitudes towards mathematics. In addition, ML directly and positively predicted both CT subscales. Notably, a comprehensive mediating effect of ML on beliefs about mathematics learning and CT was identified in the analysis.Conclusions: This study advances the understanding of the relationships between mathematics learning and CT. We have further confirmed the importance of mathematical literacy in predicting CT and its mediating role between beliefs about mathematics learning and CT. It is suggested that teachers could promote students’ CT competence by enhancing their mathematical literacy or integrating mathematics and CT into the same learning activities. Finally, we propose that upcoming investigations treat CT assessments as formative constructs, diverging from their reflective counterparts.
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21967822
|
EDUCATION
|
10.3390/ejihpe13110177
|
Assessment and Psychometric Properties of the 21-Item Depression Anxiety Stress Scale (DASS-21) among Portuguese Higher Education Students during the COVID-19 Pandemic
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The COVID-19 pandemic has caused substantial disruptions in the lives of higher education students, with detrimental repercussions for academic performance and overall mental health. Therefore, we aimed to evaluate the prevalence of depression, anxiety, and stress symptoms among Portuguese higher education students during the first wave of the coronavirus pandemic and investigate DASS-21’s psychometric characteristics and whether it functions effectively during a pandemic. A convenience sampling procedure was used to recruit 1522 participants (75.1% women and 79.2% undergraduate students) for this cross-sectional research. Participants completed an e-survey created using DASS-21. The results revealed a considerable prevalence of symptoms of depression [≥10] (N = 434, 28.5%), anxiety [≥7] (N = 551, 36.2%), and stress [≥11] (N = 544, 35.7%). Confirmatory factor analysis (CFA) revealed the scale’s three-factor structure, which matched the three DASS-21 subscales. Subsequently, the heterotrait–monotrait (HTMT) correlation ratio evaluated the scale’s discriminant validity, which was relatively good. Cronbach’s alpha measured the internal consistency of the DASS subscales, which was excellent (Cronbach’s α > 0.90). DASS-21 was shown to be a reliable and appropriate measure for assessing students’ mental health. Furthermore, DASS-21 is recommended for use by academics and healthcare professionals in measuring students’ psychological distress. Further validation studies of this scale are needed with larger and more representative samples.
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22549625
|
PSYCHOLOGY
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10.1186/s40359-023-01401-1
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The psychometric property of a short-form of the Social Axioms Survey (SAS II)
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Background: Social Axioms are generalized beliefs and broad assumptions about the world, guiding behaviors across various social situations. Social Axioms are usually assessed by Social Axioms Survey II (SAS II). Nevertheless, the length of the scale may limit its usefulness in studies with strict time constraint. The present study aimed at developing a shorter version. Methods: A survey was conducted among 455 college students. First, we performed psychometric evaluation on the full item version of SAS II to identify items with superior psychometric properties for a brief version of SAS II. Second, we validated the psychometric properties of the brief version of SAS II. Results: A 20-item version of SAS II (SAS II-20) was developed, and it demonstrated adequate reliability and validity. The correlations between SAS II-20 and personality variables, cognitive flexibility, interpersonal trust, locus of control, and paranormal beliefs were consistent with past studies. Conclusions: SAS II-20 is psychometrically acceptable and provides a time-efficient measurement tool for investigating social beliefs.
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20507283
|
PSYCHOLOGY
|
10.3390/ejihpe13110179
|
(No) Effects of a Self-Kindness Intervention on Self-Esteem and Visual Self-Perception: An Eye-Tracking Investigation on the Time-Course of Self-Face Viewing
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Previous research has suggested a favorable impact of self-kindness on subjective well-being. The present experiment investigated the effects of an app-assisted self-kindness intervention for increasing self-esteem and self-face gaze, and for decreasing depression. We explored self-face processing via a time-course analysis of eye-tracking data. Eighty participants (56 female, 24 male; mean age: 23.2 years) were randomly allocated to one of two intervention groups, each receiving daily instructions to enhance either self-kindness or relaxation (active control). Following a one-week intervention period, both groups reported improved self-esteem (p = .035, ηpart2 = .068) and reduced depression (p < .001, ηpart2 = .17). The duration of self-face gaze increased in both groups (p < .001, ηpart2 = .21). Self-face processing was characterized by an early automatic attention bias toward the self-face, with a subsequent reduction in self-face bias, followed in turn by an attentional self-face reapproach, and then a stable self-face bias. We thus identified a complex temporal pattern of self-face inspection, which was not specifically altered by the intervention. This research sheds light on the potential for app-assisted interventions to positively impact psychological well-being, while also highlighting the complexity of self-face processing dynamics in this context. In the future, we propose the inclusion of personalized self-kindness statements, which may amplify the benefits of these interventions.
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22549625
|
PSYCHOLOGY
|
10.3390/ejihpe13110183
|
“I Am on Top!”: An Interactive Intervention Program to Promote Self-Regulation Processes in the Prevention of the Use of Doping in Sports High Schools
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The use of substances to improve sports performance is a widespread phenomenon among adolescents. Several anti-doping programs have been developed, mainly based on knowledge-based evidence. The main aim of the present study was to implement an anti-doping intervention in sports high school students, based on a psychological framework, such as Socio-Cognitive Theory, through the development of a Serious Game (SG), i.e., digital learning based on the game. The experimental design included an intervention group (n = 167; F = 37.7%; Meanage = 17.5 years; SD = 0.58) and a control group (n = 112; F = 42%; Meanage = 17.6; SD = 1). Both of the groups completed the same questionnaire on two different occasions (i.e., time 1 and time 2) for measuring doping intention, self-regulatory efficacy to resist social pressure for the use of substances, moral disengagement, and doping knowledge. Data were analyzed through repeated measures of Group X Time ANOVA, demonstrating some degree of efficacy of the intervention, in particular in terms of the decrease in doping intention and the strengthening of doping knowledge. Moreover, the study demonstrated that the score obtained during the implementation of the SG could partially represent a coherent measure of the participants’ beliefs regarding doping. These results could be considered a starting point for future research to better develop technological anti-doping interventions.
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22549625
|
PSYCHOLOGY
|
10.1186/s40359-023-01417-7
|
Impulsivity and sensitivity to reward as mediating factors of the negative relationship between emotional intelligence and health-related risk-taking: evidence from a sample of university students
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Better abilities in emotional intelligence (EI) have been linked to a decreased tendency to engage in health-related risk behaviour. However, the processes underlying this relationship are still unclear. The aim of this research was to examine the role of impulsivity and sensitivity to reward as mediating factors in the relationship between EI and health risk-taking. Two hundred and fifty participants (Mage = 23.60, age range = 18–59; SD = 6.67; 71.60% women) were assessed on ability EI levels, risk-taking in health contexts, impulsivity, and sensitivity to reward. Unlike previous studies in the literature, we employed a performance-based ability measure to assess EI (Mayer-Salovey-Caruso Emotional Intelligence Test, MSCEIT). The results confirmed the negative relationship between EI and health risk-taking and revealed the existence of a significant negative indirect effect of EI on health-risk taking through various dimensions of impulsivity and sensitivity to reward. EI abilities —particularly the ability to manage emotions— were associated with lower levels of impulsivity under positive and negative emotional states, a better management of the tendency towards sensation seeking, and a decreased emotional reactivity to rewards. The present research provides a better understanding of the processes underlying the negative relationship between EI and health risk-taking. Our findings suggest that having higher levels of EI abilities would allow for a more objective evaluation of risk scenarios and a more appropriate and safer decision making through its influence on the levels of impulsivity and emotional reactivity to rewards. Practical implications, limitations, and future lines of research are discussed.
|
20507283
|
PSYCHOLOGY
|
10.1007/s00432-023-05488-2
|
A case report of two instances of colorectal hepatoid adenocarcinoma, accompanied by a comprehensive literature review
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Objective: The study aimed to explore the clinical and pathological characteristics, survival outcomes, and prognostic factors of colorectal hepatoid adenocarcinoma. Methods: We performed two cases of colorectal hepatoid adenocarcinoma treated at the Oncology Department of the First Affiliated Hospital of Nanchang University. We also reviewed literature up to the present and performed a retrospective study of colorectal hepatoid adenocarcinoma. Results: Among the 39 patients included in this study, 28 had primary tumors in the colon, 9 in the rectum, and 2 in the rectosigmoid junction. The median age was 52 years (range 31–75 years); 28 patients (71.8%) were male. Out of the 32 patients for whom survival data were available, 24 patients succumbed to disease-related causes. The median overall survival of 32 patients was 8 months, with 1-year and 2-year overall survival rates of 31.0% and 16.0%, respectively. Univariate analysis revealed that depth of infiltration, presence of liver metastases, TNM stage, and the completeness of surgical resection were significantly associated with the overall survival period of colorectal hepatoid adenocarcinoma. Conclusion: Colorectal hepatoid adenocarcinoma exhibits a high degree of aggressiveness and poor prognosis. The major strategy for early-stage HAC was radical surgery and chemoradiotherapy demonstrates limited efficacy for extending survival.
|
14321335
|
ONCOLOGY
|
10.1186/s40359-023-01360-7
|
Post-traumatic growth and influencing factors among parents of premature infants: a cross-sectional study
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Background: Post-traumatic growth is a positive psychological change that may aid recovery in individuals experiencing trauma. Owing to the lack of research in the area of parental care for premature infants, we decided to explore the levels and factors influencing post-traumatic growth among parents of premature infants in neonatal intensive care units. We believe that these findings will help reassess existing care practices so that healthcare providers can promptly identify negative emotions and take necessary measures to help develop the potential to enhance post-traumatic growth. Methods: A cross-sectional survey was conducted using convenience sampling between February and September 2022. Data were analysed using independent sample t-tests and one-way analysis of variance (ANOVA). Bivariate correlations were analysed using the Pearson’s or Spearman’s method, and related factors were analysed using multiple linear regression. We followed the SRQR checklist throughout the study period. Results: A total of 217 patients were effectively treated, with a recovery rate of 98.64%. Univariate analysis showed that the length of hospital stay, presence of only one child, parents’ age, marital status, education level, working status, and per capita monthly familial income were influencing factors. Bivariate analysis showed that post-traumatic growth was moderately and positively correlated with perceived social support, rumination, and family resilience. Multiple linear regression showed that purposeful contemplation, family resilience, education, family support, age, and marital status entered into the regression equation and together accounted for 47.4% of the total variation. Conclusions: It is necessary to pay attention to post-traumatic growth and familial stability in these families, provide aid in building a good support system, and encourage parents to mobilise their family and favourable factors to increase post-traumatic growth levels.
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20507283
|
PSYCHOLOGY
|
10.3390/cancers15225376
|
The Influence of the Exposome in the Cutaneous Squamous Cell Carcinoma, a Multicenter Case–Control Study
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Introduction: The concept of exposome refers to the total of harmful and beneficial environmental exposures that can help predict the organism’s biological responses over time. Ultraviolet radiation (UVR) from sun exposure has been recognized as the main etiological agent of skin cancer, and squamous cell carcinoma (SCC) is one most commonly associated with chronic exposure. However, in recent years, evidence suggests that lifestyle, environmental pollution, and contaminants in water and food can have an influence. Objectives: To study the relationship between SCC and sun exposure, pollution, stress, and lifestyle in a Spanish cohort. Materials and Method: A multicenter case–control study was carried out in which 13 dermatologists from different regions of Spain recruited cases and controls between April 2020 and August 2022. The group of cases were patients diagnosed with SCC and, as a control group, people who attended Dermatology consultations as companions with no history of skin cancer. Results: A total of 62 patients with SCC and 126 controls were included (62.9% males, median age 76.46 (10.1) and 33.3%, median age 55.7 (15), respectively). The SCC group had experienced more outside work than the controls (75% vs. 22.4%, p < 0.001), less recreational exposure (sunbathing, p = 0.05, and outdoor sports, p = 0.01), and a lower annual income (p = 0.01), with an increase in tobacco exposure (p < 0.001), without differences in other carcinogens, such as ionizing radiation or chemical exposure. The control group had a higher daily screentime use (p < 0.001) and practiced more relaxation activities (p = 0.03). A higher linolenic acid intake and lower coffee consumption were the only dietary variables associated with SCC (p < 0.05). Some chronic medications (anxiolytics, antidepressants, beta-blockers, statins, hydrochlorothiazide, ACE inhibitors, metformin, and omeprazole) were also statistically associated with SCC. Statistical significance for all aforementioned variables was maintained in the multivariate analysis (p < 0.05). Conclusions: The study found a significant association between SCC and multiple exposome-related factors in addition to chronic sun exposure in the Spanish population. Primary prevention strategies should target specific populations, such as outdoor workers promoting sun-safe behaviors and stress-reducing activities, in addition to adequate skin photoprotection in patients under certain medications associated with SCC.
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20726694
|
ONCOLOGY
|
10.1186/s40594-023-00457-0
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Motivational climate predicts effort and achievement in a large computer science course: examining differences across sexes, races/ethnicities, and academic majors
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Background: The motivational climate within a course has been shown to be an important predictor of students’ engagement and course ratings. Because little is known about how students’ perceptions of the motivational climate in a computer science (CS) course vary by sex, race/ethnicity, and academic major, we investigated these questions: (1) To what extent do students’ achievement and perceptions of motivational climate, cost, ease, and effort vary by sex, race/ethnicity, or major? and (2) To what extent do the relationships between students’ achievement and perceptions of motivational climate, cost, and effort vary by sex, race/ethnicity, and major? Participants were enrolled in a large CS course at a large public university in the southeastern U.S. A survey was administered to 981 students in the course over three years. Path analyses and one-way MANOVAs and ANOVAs were conducted to examine differences between groups. Results: Students’ perceptions of empowerment, usefulness, interest, and caring were similar across sexes and races/ethnicities. However, women and Asian students reported lower success expectancies. Students in the same academic major as the course topic (i.e., CS) generally reported higher perceptions of the motivational climate than students who did not major or minor in the course topic. Final grades in the course did not vary by sex or race/ethnicity, except that the White and Asian students obtained higher grades than the Black students. Across sex, race/ethnicity, and major, students’ perceptions of the motivational climate were positively related to effort, which was positively related to achievement. Conclusions: One implication is that females, Asian students, and non-CS students may need more support, or different types of support, to help them believe that they can succeed in computer science courses. On average, these students were less confident in their abilities to succeed in the course and were more likely to report that they did not have the time needed to do well in the course. A second implication for instructors is that it may be possible to increase students’ effort and achievement by increasing students’ perceptions of the five key constructs in the MUSIC Model of Motivation: eMpowerment, Usefulness, Success, Interest, and Caring.
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21967822
|
EDUCATION
|
10.3390/cancers15225408
|
Predictors of Neurological Worsening after Resection of Spinal Meningiomas
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Background: Due to the slow-growing nature of spinal meningiomas, they are mostly asymptomatic for a long time, and become symptomatic after the compression of the spinal cord or nerve roots. The aim of this study was to identify predictors for a poor clinical outcome after the surgical resection of spinal meningiomas and thereby to allow a preoperative identification of high-risk spinal meningiomas. Methods: Data acquisition was conducted as a single-center retrospective analysis. From 1 January 2004 to 31 December 2019, 121 patients who underwent surgical resection of a spinal meningioma were reviewed. Clinical and radiological data (such as tumor size, location, occupation ratio of the spinal canal, and the degree of spinal cord compression) were assessed. The functional clinical findings of the patients were recorded using the Karnofsky Performance Score, modified McCormick scale, and Frankel scale preoperatively, at discharge, and 3–6 months after surgery. Results: The mean patient age was 66 ± 13 years. A total of 104 (86%) patients were female and 17 (14%) were male. The thoracic spine (68%) was the most common location, followed by the cervical (29%) and lumbar (3%) spine. Preoperatively, 11.7% of patients were categorized as McCormick 1, 35.8% as 2, 39.2% as 3, 11.7% as 4, and 1.7% as 5. The neurological function of the patients with a functional deficit prior to surgery improved in 46% of the patients, remained unchanged in 52%, and worsened in 2% at discharge. At early follow-up, the proportions were 54%, 28%, and 5%, respectively. Preoperative Frankel scale was a significant predictor of a postoperative deterioration. Patients with Frankel score A to C preoperatively had a 9.2 times higher chance of clinical deterioration postoperatively (OR = 9.16). We found that the Frankel scale weakly correlated with the degree of spinal cord compression. In this study, other radiological parameters, such as the degree of cord compression and spinal canal occupation ratio, did not show a significant effect on the outcome. Conclusions: Surgery of intraspinal meningiomas can be considered safe. Neurological function improves in a large proportion of patients after surgery. However, a relevant preoperative deficit according to the Frankel scale (grade A–C) was a significant predictor of a postoperative neurological deterioration.
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20726694
|
ONCOLOGY
|
10.3390/educsci13111154
|
College Student Mental Health and Wellbeing Prior to and during the COVID-19 Pandemic
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Student mental health was a growing concern globally prior to the onset of the COVID-19 pandemic. The aim of this study was to assess the impact of the pandemic and associated restrictions on the psychological wellbeing of college students. Baseline data were collected pre-pandemic in September 2019 among students attending a university in Northern Ireland and an Institute of Technology in the Republic of Ireland. Surveys were also conducted with this cohort during the pandemic, at the start of the academic years 2020 and 2021 (499 students fully completed all three waves). A follow-up survey was conducted at the end of their third year, in summer 2022 (n = 229). High levels of mental health problems were already present among students commencing college. The subsequent pandemic had a very negative impact on student’s academic experience and other aspects of life. Rates of depression (PHQ-9) increased significantly from the onset of the pandemic and remained high. Anxiety (GAD-7) initially decreased but then escalated at the end of college. The study highlights the importance of early intervention and makes recommendations for addressing the needs of students during times of stress. Additional supports may be required to deal with the long-lasting impact of the pandemic.
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22277102
|
EDUCATION
|
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