mdpi-ai/citelens huggingface dataset:
Accuracy improvement in financial sanction screening: is natural language processing the solution?
Field: AI

Sanction screening is a crucial banking compliance process that protects financial institutions from inadvertently engaging with internationally sanctioned individuals or organizations. Given the severe consequences, including financial crime risks and potential loss of banking licenses, effective execution is essential. One of the major challenges in this process is balancing the high rate of false positives, which exceed 90% and lead to inefficiencies due to increased human oversight, with the more critical issue of false negatives, which pose severe regulatory and financial risks by allowing sanctioned entities to go undetected. This study explores the use of Natural Language Processing (NLP) to enhance the accuracy of sanction screening, with a particular focus on reducing false negatives. Using an experimental approach, we evaluated a prototype NLP program on a dataset of sanctioned entities and transactions, assessing its performance in minimising false negatives and understanding its effect on false positives. Our findings demonstrate that while NLP significantly improves sensitivity by detecting more true positives, it also increases false positives, resulting in a trade-off between improved detection and reduced overall accuracy. Given the heightened risks associated with false negatives, this research emphasizes the importance of prioritizing their reduction. The study provides practical insights into how NLP can enhance sanction screening, while recognizing the need for ongoing adaptation to the dynamic nature of the field.
Toward explainable deep learning in healthcare through transition matrix and user-friendly features
Field: AI

Modern artificial intelligence (AI) solutions often face challenges due to the “black box” nature of deep learning (DL) models, which limits their transparency and trustworthiness in critical medical applications. In this study, we propose and evaluate a scalable approach based on a transition matrix to enhance the interpretability of DL models in medical signal and image processing by translating complex model decisions into user-friendly and justifiable features for healthcare professionals. The criteria for choosing interpretable features were clearly defined, incorporating clinical guidelines and expert rules to align model outputs with established medical standards. The proposed approach was tested on two medical datasets: electrocardiography (ECG) for arrhythmia detection and magnetic resonance imaging (MRI) for heart disease classification. The performance of the DL models was compared with expert annotations using Cohen’s Kappa coefficient to assess agreement, achieving coefficients of 0.89 for the ECG dataset and 0.80 for the MRI dataset. These results demonstrate strong agreement, underscoring the reliability of the approach in providing accurate, understandable, and justifiable explanations of DL model decisions. The scalability of the approach suggests its potential applicability across various medical domains, enhancing the generalizability and utility of DL models in healthcare while addressing practical challenges and ethical considerations.
Loss of empathy in stroke
Field: PSYCHOLOGY

Background: Loss of empathy (LoE) is common among stroke survivors, yet often undiagnosed and thus untreated. LoE is related to the loss of a caring marital relationship, higher care burden and poorer quality of life in carers. The present study will evaluate the clinical and MRI correlates of LoE in a cohort of stroke survivors. The secondary objective is to describe the 12-month course of LoE.Methods: The current study is a prospective cohort study. We will recruit 246 subjects. Subjects and carers will receive a detailed assessment at a research clinic at 3, 9, and 15 months after stroke onset (T1/T2/T3). The Chinese version of the Interpersonal Reactivity Index (IRI), a 28-item personality assessment tool, will be completed by a carer for each subject. LoE is defined as an IRI total score of 39 or less. Patients will be examined by MRI including diffusion weighted imaging (DWI) within 1 week after the onset of stroke. A stepwise logistic regression will be performed to assess the importance of lesions in the regions of interest. To examine the predictors of LoE remission, the demographic, clinical and MRI variables of remitters and non-remitters at T2/T3 will be examined by logistic regression.Discussion: This project will be the first longitudinal study on LoE in stroke survivors. The results will shed light on the association between prefrontal cortex and subcortical lesions and LoE risk, symptom severity and outcome. The findings will provide data to advance our understanding of the pathogenesis and clinical course of LoE in stroke as well as other neurological conditions. They are thus likely to be applicable to the large population of neurological patients at risk of LoE and should also stimulate further research in this field.
Predicting financial distress in TSX-listed firms using machine learning algorithms
Field: AI

Introduction: This study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. Given the critical need for reliable financial health indicators, this research evaluates the predictive capabilities of various ML techniques on firm-level financial data.Methods: The dataset comprises financial ratios and firm-specific variables from 464 firms listed on the TSX. Multiple ML models were tested, including decision trees, random forests, support vector machines (SVM), and artificial neural networks (ANN). Recursive feature elimination with cross-validation (RFECV) and bootstrapped CART were also employed to enhance model stability and feature selection.Results: The findings highlight key predictors of financial distress, such as revenue growth, dividend growth, cash-to-current liabilities, and gross profit margins. Among the models tested, the ANN classifier achieved the highest accuracy at 98%, outperforming other algorithms.Discussion: The results suggest that ANN provides a robust and reliable method for financial distress prediction. The use of RFECV and bootstrapped CART contributes to the model’s stability, underscoring the potential of ML tools in financial health monitoring. These insights carry valuable implications for auditors, regulators, and company management in enhancing practices around financial oversight and fraud detection.
“Be yourself, rediscover yourself, and find new aspects of yourself”: newcomer youth integration in a francophone school system
Field: EDUCATION

Negative school integration experiences can compromise the healthy development of newcomer youth. Little research has explored what affects their experiences; even less has engaged youth in the research process. This study investigated the school integration experiences of French-speaking newcomer youth in a predominantly anglophone Canadian province using the Arts-Based Engagement Ethnography research method. We explored: (1) How do newcomer youth experience a public francophone school? and (2) How do these experiences influence their positive integration into the francophone school system in a predominantly anglophone province? Data from artifacts, interviews, and planned group discussions were organized into four structures: (a) navigating school integration challenges, (b) negotiating identity, (c) confronting biases, and (d) helping other newcomer youth. Underlying patterns painted a rich portrait of newcomer youth school integration experiences, which informed their emerging identity. Findings point to needed changes to supports and services offered to newcomer youth integrating into the francophone school system in a predominantly anglophone province.
METTL3 as a potential therapeutic target in gastric cancer
Field: ONCOLOGY

Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide. N6-methyladenosine (m6A) modification is the most prominent epigenetic modification of eukaryotic mRNAs, and methyltransferase-like 3 (METTL3), a core component of the methyltransferase complex, catalyzes m6A modification. The results of previous studies indicate that the expression level of METTL3 is significantly elevated in gastric cancer tissues and cells. In addition, fluctuations in m6A levels induced by METTL3 are closely associated with the malignant progression of tumors as well as the poor prognosis of patients with gastric cancer. In this review, we focus on the potential mechanism of METTL3 in gastric cancer, and through our analysis, we suggest that targeting METTL3 could be a new therapeutic tool for treating GC.
Coping and well-being in university students: sex and cultural differences
Field: EDUCATION

For the psychological and personal well-being of university students, it is considered essential to study the coping strategies they use when faced with conflictive situations in the academic context and the resources that the institution offers to help them overcome these challenges. The objective of this work is to evaluate the effect of sex and culture on the different coping strategies that higher education students use in the face of the difficulties they face in the academic environment. For this purpose, the questionnaire “Coping Strategies Inventory (CSI)” was applied to a sample of 1,281 university students. The results indicate that there are significant differences in the problem-solving strategies used depending on gender and culture, finding interaction between these variables, with European women being the ones who use active strategies the most. On the contrary, men of Berber origin, are the ones who use less coping strategies, both active (emotional expression and social support) and passive (desiderative thinking), to resolve conflicts.
Combining dosiomics and machine learning methods for predicting severe cardiac diseases in childhood cancer survivors: the French Childhood Cancer Survivor Study
Field: ONCOLOGY

Background: Cardiac disease (CD) is a primary long-term diagnosed pathology among childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have received attention in the past few years to assess better the induced risk of radiotherapy (RT) than standard dosimetric features such as dose-volume indicators. Hence, using the spatial information contained in the dosiomics features with machine learning methods may improve the prediction of CD.Methods: We considered the 7670 5-year survivors of the French Childhood Cancer Survivors Study (FCCSS). Dose-volume and dosiomics features are extracted from the radiation dose distribution of 3943 patients treated with RT. Survival analysis is performed considering several groups of features and several models [Cox Proportional Hazard with Lasso penalty, Cox with Bootstrap Lasso selection, Random Survival Forests (RSF)]. We establish the performance of dosiomics compared to baseline models by estimating C-index and Integrated Brier Score (IBS) metrics with 5-fold stratified cross-validation and compare their time-dependent error curves.Results: An RSF model adjusted on the first-order dosiomics predictors extracted from the whole heart performed best regarding the C-index (0.792 ± 0.049), and an RSF model adjusted on the first-order dosiomics predictors extracted from the heart’s subparts performed best regarding the IBS (0.069 ± 0.05). However, the difference is not statistically significant with the standard models (C-index of Cox PH adjusted on dose-volume indicators: 0.791 ± 0.044; IBS of Cox PH adjusted on the mean dose to the heart: 0.074 ± 0.056).Conclusion: In this study, dosiomics models have slightly better performance metrics but they do not outperform the standard models significantly. Quantiles of the dose distribution may contain enough information to estimate the risk of late radio-induced high-grade CD in childhood cancer survivors.
A preparation program for psychological safety of hospitalized adolescents
Field: PSYCHOLOGY

The study aimed to investigate the impact of an information-based preparation program on the psychological safety of adolescents admitted to pediatric wards, emphasizing the importance of enhancing patient safety. This quasi-experimental study was conducted among 98 adolescents admitted to pediatric wards at Namazi Hospital, managed by Shiraz University of Medical Sciences, in 2021. The participants were randomly assigned to either an intervention group or a control group using an electronic randomization table. The intervention group received an information-based preparation program, while the control group followed routine care. Adolescents completed the Psychological Safety Questionnaire after admission and at discharge. Data were analyzed using SPSS (Version 22), with a significance level of 0.05. The mean psychological safety scores before the intervention were 136.73 ± 17.30 in the control group and 141.03 ± 16.34 in the intervention group, with no significant difference between the two groups (p = 0.20). After the intervention, the mean scores were 136.65 ± 19.01 in the control group and 145.50 ± 14.05 in the intervention group. A comparison of the mean psychological safety scores showed a significant difference between the two groups after the intervention (p = 0.01). The findings of this study indicate that the information-based preparation program positively affected the psychological safety of hospitalized adolescents. Therefore, it is recommended that nurses incorporate this method into therapeutic programs for hospitalized adolescents to enhance their psychological safety effectively.
Company-university intersections through service-learning (SL): a systematic review
Field: EDUCATION

The most relevant intersections in society include the relationship between universities and companies for a projection toward the sustainable employability of future graduates. Among the possible intersections, Service-learning (SL) is an educational proposition that may help university students to develop their personal skills, offering them opportunities to learn and practice civic commitment, improving their sense of social and citizen responsibility, and combining academic and community-service learning in a constructed programme where participants train by working on real needs of the environment to optimize and transform the latter. The development of SL programmes in university departments related to technical areas is posing a challenge to faculty members and students, thus it is important to explore this lack of programmes. The main aim of the present study was to identify SL projects and their topics through a systematic review, following the guidelines of the «Preferred Reporting Items for Systematic Reviews and Meta-Analyses» (PRISMA) declaration in the knowledge areas of Architecture, Computer Science, Environmental Engineering, Software Engineering, Computer Engineering, Artificial Intelligence, and Computer Languages and Systems, from the year 2008 to the year 2023. This review includes 128 articles, which were analyzed with ATLAS. Ti 22. The categorical system employed in this work emerged from the topics of the programmes identified in the selected articles, which were verified by experts in the mentioned fields of knowledge. The agreed categories were: accessibility, learning, social groups, courses, devices, infrastructure, games, environment, landscaping, heritage, software and web. The most relevant conclusions highlight that most of the articles refer to theoretical aspects of SL, showing a lack of data on the practical development of SL programmes and their impact on employability. The largest number of SL programmes are developed in the areas of Architecture, Computer Science and Software Engineering. Regarding the topics that are addressed in research, most of the articles refer to social groups, software, learning and accessibility.
Creating better internships by understanding mentor challenges: findings from a series of focus groups
Field: EDUCATION

Background: Despite demands to make higher education more relevant beyond academia, and a growing body of work testifying to the benefits of work-relevance programs (e.g., work-placements, or internships) for both students and the companies that host them, there is limited information available for those aiming to optimize these programs. For example, few have explored the challenges and needs of internship supervisors. Here, we focus on the experiences of supervisors in biology and geology programs across three Norwegian institutions. Specifically, through a series of focus groups, we asked internship supervisors about their motivations for serving as student mentors, any challenges they had faced, and what higher-education institutions could do to better prepare them for hosting students at their workplaces. Results: Key challenges faced by supervisors include the need to tailor placements to individual student needs and capabilities, navigating the constraints imposed by academic structures, and addressing communication gaps between students, institutions, and workplace supervisors. Internship supervisors suggest enhancing communication strategies to better define roles and expectations, increasing support and training for supervisors, and establishing clearer, more collaborative frameworks for setting learning objectives with students. Conclusions: The supervisors’ suggestions aim to ensure that internships are mutually beneficial, supporting both students' educational outcomes and the workplace needs. By focusing on the supervisor's perspective, we provide valuable insights into one aspect of implementing effective and rewarding internships (i.e., supervisor preparation), thereby suggesting pathways for future improvements in these high-impact educational practices.
Navigating an uncertain interregnum
Field: EDUCATION

This article seeks to identify trends in Steiner Waldorf education through the lens of Clarence Beeby’s work on educational myths. Beeby calls myths a form of communication between contemporaries or between generations, ways of conceptualizing education that can be understood quickly yet are flexible enough to accommodate a range of interpretations. A myth holds for a period and then transitions into a new myth that best suits changed times and changed circumstances. I reflect on what the myths of Waldorf education might be and take up Gramsci’s well-known quotation on change, “The crisis consists precisely of the fact that the old is dying and the new cannot be born; in this interregnum a great variety of morbid symptoms appear,” In writing this, Gramsci extended the interregnum beyond its usual papal connotation to include the socio-cultural condition as well. I use the notion to consider if Waldorf education is currently in an interregnum period and is displaying both “morbid symptoms” and promising signs of fresh development. In addition, I contemplate if these promising signs point toward a new myth that will allow Waldorf education to step beyond its century-old, colonial heritage.
How watching sports events empowers people’s sense of wellbeing? The role of chain mediation in social interaction and emotional experience
Field: PSYCHOLOGY

Background: While engaging in sports is widely recognized for enhancing wellbeing, limited research has examined the effects of watching sports events on individuals’ subjective wellbeing. The mechanisms and pathways underlying this relationship remain unclear.Objectives: This study explores the correlation between watching sports events and the wellbeing of Chinese individuals, based on the theoretical framework of “spectator behavior → social interaction → emotional experience → happiness.” The aim is to investigate the mediating effects of social interaction and emotional experience, providing insights for promoting greater participation in sports events and supporting the healthy development of the sports industry.Methods: The study involved 885 participants from five representative provinces and cities in China. Assessment tools included the Physical Activity Rating Scale, Social Interaction Questionnaire, Emotional Experience Questionnaire, and Subjective Wellbeing Scale. Data were analyzed using Stata and the PROCESS plug-in of SPSS for comprehensive multivariate statistical analysis.Results: Watching sports events significantly and positively affects subjective wellbeing, social interaction, and emotional experience (p < 0.001). Three mediating pathways were identified: (1) watching sports events → social interaction → subjective wellbeing (effect size: 0.024), (2) watching sports events → emotional experience → subjective wellbeing (effect size: 0.011), and (3) watching sports events → social interaction → emotional experience → subjective wellbeing (effect size: 0.003).Conclusion: The direct impact of watching sports events on subjective wellbeing was positive. Indirect effects were facilitated by the mediating roles of social interaction and emotional experience, with the effect of social interaction being more substantial than that of emotional experience.Implications: These findings suggest that watching sports events can serve as a catalyst for enhancing wellbeing, primarily through fostering social connections and enriching emotional experiences. Practically, this indicates the potential value of encouraging viewership of sports events as a means of promoting community engagement and mental health, thus contributing to the holistic growth of the sports sector and public health initiatives.
Predicting PTSD and complex PTSD from interpersonal violence in Japanese school-based extracurricular sports activities: using the International Trauma Questionnaire (ITQ)
Field: PSYCHOLOGY

Introduction: Victims of interpersonal violence in sports show various mental health concerns. However, no studies have quantitatively examined their primary complaints, considering psychological symptoms such as denial of self-concept and interpersonal challenges not captured by conventional post-traumatic stress disorder (PTSD). Recently, an association between interpersonal violence victimization and complex PTSD (CPTSD) has been noted in Japanese sports coaching situations, specifically for extracurricular sports activities. This study aimed to examine the applicability of the International Trauma Questionnaire (ITQ) and determine whether interpersonal violence victimization and related risk factors predicted PTSD and CPTSD in extracurricular sports activities in Japan.Methods: This study included 651 adults aged 18–25 who had previously participated in extracurricular sports activities in junior high and high school. The ITQ was examined using confirmatory factor analysis with maximum likelihood with robust standard errors, fit indices comparisons, a graded response model, differential item functioning, and rank correlation designs. A binomial logistic regression model with robust standard errors examined the association of PTSD and CPTSD with interpersonal violence victimization and related risk factors.Results: The optimal factor structure, measurement precision, and validity of the ITQ were confirmed. Physical and psychological violence victimization and the ITQ were positively correlated with PTSD, difficulties in emotion regulation, self-disgust, and interpersonal problems subscales, respectively. A high frequency of psychological and physical violence victimization experiences and self-identified LGB (lesbian, gay, or bisexual) were associated with PTSD and CPTSD diagnosability. Additionally, being a woman and in school life away from parents were associated solely with PTSD diagnosability.Discussion: This is the first quantitative study to examine CPTSD in a study on interpersonal violence in sports. Our findings can provide insights into desirable victim support and enhanced clinical care in interpersonal violence in a sports context.