mdpi-ai/citelens huggingface dataset:
Metabolic modulation of melanoma enhances the therapeutic potential of immune checkpoint inhibitors
Field: ONCOLOGY

Introduction: Lactate is a pivotal molecule with diverse functions in the metabolic reprogramming of cancer cells. Beyond its role in metabolism, lactate exerts a modulatory effect within the tumor microenvironment; it is utilized by stromal cells and has been implicated in the suppression of the immune response against the tumor.Methods: Using in vitro assays (including flow cytometry, live-cell imaging and metabolic analyses), the impact of lactate dehydrogenase inhibitors (LDHIs) on melanoma cells were assessed. The therapeutic potential of LDHIs with immune checkpoint inhibitors (ICIs) were tested in vivo in murine models of melanoma tumors.Results: A potent anti-proliferative effect (via both cell cycle alterations and enhanced apoptosis) of LDHIs, Oxamate (Oxa) and methyl 1-hydroxy-6-phenyl-4-(trifluoromethyl)-1H-indole-2-carboxylate (NHI-2), was found upon treatment of melanoma cell lines. Using a combination of Oxa and NHI-2, a synergistic effect to inhibit proliferation, glycolysis, and ATP production was observed. Metabolic analysis revealed significant alteration in glycolysis and oxidative phosphorylation, while metabolite profiling emphasized consequential effects on lactate metabolism and induced energy depletion by LDHIs. Detection of increased RANTES and MCP-1, with Oxa and NHI-2 treatment, prompted the consideration of combining LDHIs with ICIs. In vivo studies using a murine B78 melanoma tumor model revealed a significant improvement in treatment efficacy when LDHIs were combined with ICIs.Conclusions: These findings propose the potential of targeting lactate metabolism to enhance the efficacy of ICI treatments in patients with melanoma.
Validation and psychometric evaluation of the French version of the recovery experience questionnaire: internal consistency and validity assessment
Field: PSYCHOLOGY

Background: Entrepreneurs often experience high levels of stress, anxiety, and burnout due to the demanding nature of their professional activities. Therefore, recovery from work-related stress is a relevant activity for entrepreneurs. The Recovery Experience Questionnaire (REQ) is a widely used 16-item self-reported measure covering four recovery factors: psychological detachment from work, relaxation, mastery, and control. The present study addresses the validation of a French version of the REQ.Methods: A total of 1,043 French entrepreneurs from various sectors participated in this study. Internal consistency and correlations were examined to assess the psychometric properties of the French version of the REQ. Confirmatory factor analysis (CFA) was used to validate the four-factor structure of the REQ, with seven error covariances added to improve model fit.Results: The French version of the REQ demonstrated good internal consistency (psychological detachment: α = 0.88, relaxation: α = 0.91, mastery: α = 0.90, control: α = 0.91). CFA supported that the four-factor structure was confirmed based on the following data: RMSEA = 0.071 (95% CI [0.066, 0.077]), CFI/TLI = 0.955/0.950, SRMR = 0.050, and χ2 (108) = 593.861, p < 0.001. Significant correlations were found between REQ scores and health indicators such as stress, loneliness, physical health, mental health, and sleep quality. The results confirm that the REQ is a valid and reliable measure for assessing recovery experiences among French entrepreneurs.Conclusion: We conclude that the REQ is a valid measure and a useful tool for research on entrepreneurs’ general health. Additionally, the validated French version of the REQ can be applied to other working populations, making it a versatile instrument for evaluating health and recovery in diverse occupational settings. To support this claim, we conducted the same validation analysis on a sample of 1,231 French agricultural employees, again showing that REQ is a valid and reliable measure for assessing recovery experiences.
The value of adjusted PSAD in prostate cancer detection in the Chinese population
Field: ONCOLOGY

Objective: To investigate the value of adjusted prostate-specific antigen density (PSADadj) in the diagnosis of prostate cancer (PCa).Methods: Data from 410 patients who underwent transrectal ultrasound-guided prostate biopsy were retrospectively analyzed in Beijing Tsinghua Changgung Hospital between November 2014 and March 2024. All patients were divided into PCa and benign prostatic hyperplasia (BPH) groups according to pathological results. Multivariate logistic regression analyses were performed to evaluate the odd ratios (ORs) of predictors for PCa occurrence. Receiver operating characteristic curves were plotted, and the area under the curve (AUC) values were used to assess and compare the diagnostic accuracies of total PSA (tPSA), free-to-total (f/t) PSA, free PSA (fPSA), PSAD, and PSADadj (PSAD×weight).Results: There were 166 patients in the PCa group and 244 in the BPH group. Multivariate analyses demonstrated that PSAD was positively correlated with the presence of PCa, with the highest OR value among all PSA-related parameters (OR = 19.075, p<0.001). tPSA, fPSAD, PSAD, and PSADadj had high accuracy in predicting PCa, with AUC values of 0.633, 0.730, 0.778, and 0.780. Of note, PSADadj had the highest AUC with a sensitivity of 63.3% and specificity of 81.6%. Similarly, in patients with a PSA level in the gray zone, the diagnostic accuracy of PSADadj in predicting PCa (AUC, 0.709; 95% CI, 0.616–0.802) remained better than other PSA-related markers.Conclusion: PSADadj has an advantage over other PSA-related markers in detecting PCa and could be used for making biopsy decisions.
Evaluating technology breaks on cell phone use in a college classroom
Field: EDUCATION

Cell phones in the college classroom can be used to increase interaction between students and the professor; they can also distract from academic tasks and decrease academic performance. To decrease task-switching in the classroom, researchers have suggested the use of “technology breaks” (TB), in which students are provided periodic breaks to use cell phones throughout class. The purpose of the present study was to evaluate the use of technology breaks in a college classroom (N = 21). Cell phone use was evaluated over 22 class periods. Observers recorded how many students were using cell phones every 10 s. Three experiment conditions were alternated with yoked controls in a multi-element design: (A) 1 min technology breaks, (B) 2 min technology break, and (C) 4 min technology break. The control condition [question breaks, (QB)] provided breaks for students to ask the professor questions regarding class materials. No penalties or punishers were delivered for cell phone use under any conditions. The average rate of cellphone use in QB was 0.53 responses per min (range = 0.06–1.02), while the average rate for TB was 0.35 responses per min (range = 0.20–0.74). Overall, the study found that technology breaks were a promising way to utilize reinforcement-based strategies to reduce classroom cell phone use, though variability in the data weakened conclusions regarding the utility of technology breaks.
Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing
Field: AI

Introduction: Computational models providing accurate estimates of their uncertainty are crucial for risk management associated with decision-making in healthcare contexts. This is especially true since many state-of-the-art systems are trained using the data which have been labeled automatically (self-supervised mode) and tend to overfit.Methods: In this study, we investigate the quality of uncertainty estimates from a range of current state-of-the-art predictive models applied to the problem of observation detection in radiology reports. This problem remains understudied for Natural Language Processing in the healthcare domain.Results: We demonstrate that Gaussian Processes (GPs) provide superior performance in quantifying the risks of three uncertainty labels based on the negative log predictive probability (NLPP) evaluation metric and mean maximum predicted confidence levels (MMPCL), whilst retaining strong predictive performance.Discussion: Our conclusions highlight the utility of probabilistic models applied to “noisy” labels and that similar methods could provide utility for Natural Language Processing (NLP) based automated labeling tasks.
The associations between self-rated autistic traits, social camouflaging, and mental health outcomes in Taiwanese anime, comics and games (ACG) doujin creators: an exploratory study
Field: PSYCHOLOGY

Doujin (どうじん) is a Japanese term referring to a circle where people share the same interests, usually something that belongs to the Anime, Comics, and Games (ACG) subculture. Individuals who belong to it and create related works, known as ACG doujin creators, are usually described as socially awkward and at potential risk of isolation. In such a context, they may theoretically exhibit higher autistic traits and manifest camouflaging tendencies, which may consequently be associated with their mental health. Nonetheless, the impact of autistic traits and camouflaging on mental health in this subculture remains significantly underexplored. We recruited 183 Taiwanese ACG doujin creators (age ranges from 18 to 41, 146 female and 37 male) via social networking platforms. Participants completed Chinese online surveys assessing socio-demographic information, doujin activities, past psychiatric history, the 35-item Version of Autism-Spectrum Quotient (AQ-35), Chinese version Camouflaging Autistic Traits Questionnaire (CAT-Q-Ch), the General Anxiety Disorder-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9). Linear regression analysis was employed to examine the associations between the aforementioned scales. Our findings revealed that among ACG doujin creators, descriptively higher level of AQ-35 and CAT-Q-Ch than previous studies were found. Moreover, we observed a positive association between camouflaging behaviours and most AQ-35 subscales, with the exception of the mindreading subscale. Additionally, we identified that both camouflaging and autistic traits were significantly linked to higher PHQ-9 and GAD-7 scores. Through this study, we gained insight into the distinctive characteristics of autistic traits, camouflaging behaviours, and mental health among Taiwanese ACG doujin creators, as the associations between the factors mentioned above are divergent compared to previous research. This topic demonstrated that camouflaging is also associated with adverse mental health in a subculture group.
Synergistic effects of students’ mathematics and science motivational beliefs on achievement, and their determinants
Field: EDUCATION

Background: Students’ mathematics and science motivational beliefs are crucial determinants of their school academic achievement in math and science. The current study aimed to identify the group memberships of students’ motivational beliefs in math and science, which are closely related. Furthermore, this study probed the predictive effects of individual students’ experiences at school on forming group membership. We also tested the mean differences of the identified latent groups in math and science achievement. Results: Using latent profile analysis modeling, we examined data from 3857 Korean eighth-grade students participating in the 2019 Trends in International Mathematics and Science Study. The theoretical rationale and supplementary statistical indices showed a five-group membership as the optimal solution. The five groups are high motivation, medium motivation, low math/high science motivation, low motivation, and very low motivation. Students’ sense of school belonging was the most crucial predictor in forming group membership, whereas perceived student bullying did not predict group membership. Finally, students in distinct motivational belief groups exhibited differences in their math and science achievements. Conclusions: This study identified five subgroups of students based on their distinct motivational beliefs in math and science, and variations in their association with achievements. In terms of policy development and intervention, it is important to nurture students’ sense of school belonging. This study advances motivational theories in science, technology, engineering, and mathematics education, and provides practical suggestions for improving educational practices to enhance student math and science motivational beliefs.
Psychosocial impacts of post-disaster compensation processes: narrative systematic review
Field: PSYCHOLOGY

After disasters, many people seek compensation for physical, psychological or economic damages. However, compensation processes can be perceived as arduous and unfair and potentially create stress for both individuals and communities. This systematic review explored the psychosocial impacts of post-disaster compensation processes, including compensation sought through both litigation and government assistance programmes. We searched seven databases, hand-searched reference lists of included studies, and used thematic analysis to synthesise results of included studies. We screened 6,532 papers, ultimately including 66 in the review. While we found mixed evidence regarding the relationship between individual mental health and the compensation process, many studies suggested the process placed demands on emotional resources and could cause stress. Numerous challenges of the compensation process were described, including complicated paperwork, lengthy processes, inadequate information, confusing eligibility criteria, lack of inter-agency cooperation, poor understanding of communities’ unique needs, insufficient pay-outs, and politicisation of the process. Inequities in compensation distribution introduced additional stress to already traumatised communities, who often experienced resentment, envy and conflict. The mixed nature of the relationship between mental health and the compensation process was evident in research trends where a small number of studies reported positive findings related to relating to gratitude, helpfulness of compensation and strengthened community relationships, while a substantial number of others reported negative impacts including higher mental health problems. Positive and negative impacts were reported for both litigation and non-litigation compensation-seeking. The nuanced dynamics of these findings are described in greater detail within the paper. It is important that compensation regulators consider the potential impacts on individuals and communities and take steps to address compensation inequities. This enhanced understanding of how those affected by disasters can rebuild their lives and furthering understanding of how to support them will enable evidence-based approaches to building resilience and planning for long-term recovery. Significant compensation process improvements could be realised by ensuring clear communication and transparent decision-making. Overall, this review underscores the importance of ensuring that compensation processes are fair and straightforward so they can repair material losses without deteriorating the social norms and relationships of affected communities.
Predictor of low academic achievement among Dilla university students, southern Ethiopia, 2024
Field: EDUCATION

Introduction: In Ethiopia, despite its growing higher education sector, student achievement rates remain concerningly low. Understanding the multifaceted factors influencing academic performance is crucial for improving educational equity and quality. This study delves into potential predictors of academic achievement among Ethiopian higher education students, examining individual characteristics, institutional elements, and broader socioeconomic influences.Methodology: This survey enrolled 362 respondents and was conducted from December 7, 2023 till January 22, 2024. Simple random sampling, validated assessment tools and online data collection methods were employed to select and collect information from respondents. Data entry and analysis was done using Epi-info 7.0 and SPSS 25, respectively. Logistic regression analysis method was used to determine the association between the outcome and independent variable.Result: The current results show that 166 (45/9%) of participants have GPAs below 3.18. Gender, social sciences/humanities or business/economics majors, suboptimal class environments, inadequate laboratory facilities, chronic illness, class sizes, low emotional coping skills, poor academic self-perception, and high social media use emerged as significant predictors of low academic achievement.Conclusion: This study identified factors associated with academic achievement. Female students, optimal learning environments, and smaller class sizes were linked to better performance, while social sciences/humanities or business/economics, inadequate facilities, and high social media use increased the risk of low achievement. Personal characteristics like emotional coping, self-perception, and chronic illness also played a role. These findings suggest interventions targeting individual and environmental factors could improve student outcomes.
Influence and Relationship of Physical Activity before, during and after the School Day on Bullying and Cyberbullying in Young People: A Systematic Review
Field: EDUCATION

The aim of this systematic review was to analyze the influence of the practice of Physical Activity (PA) before, during and after school hours on bullying and cyberbullying in children and adolescents. Studies were identified in four databases (PubMed, SCOPUS, Web of Science, ERIC) from January 2013 to March 2024. A total of 29 studies met the inclusion criteria. Seventeen studies used a cross-sectional design to explore the association between these variables, and 12 articles had a longitudinal design with PA interventions. The review found that PA is associated with significant improvements in bullying and cyberbullying, reduced depressive symptoms, and strengthened social relationships, responsibility, and self-esteem. PA before the school day may be effective in reducing bullying victimization. During the school day, it promotes affective behaviors related to bullying, such as empathy and respect for others, and optimizes psychological factors such as self-concept and self-esteem. After-school PA reduces bullying and disruptive behaviors in non-educational contexts. It is recommended to implement PA programs that address social, emotional and behavioral aspects throughout the day, with Educational Centers and Physical Education as the central axis. Didactic recommendations for implementing PA programs against bullying/cyberbullying in school and extracurricular contexts are included.
A Bag-of-Words Approach for Information Extraction from Electricity Invoices
Field: AI

In the context of digitization and automation, extracting relevant information from business documents remains a significant challenge. It is typical to rely on machine-learning techniques to automate the process, reduce manual labor, and minimize errors. This work introduces a new model for extracting key values from electricity invoices, including customer data, bill breakdown, electricity consumption, or marketer data. We evaluate several machine learning techniques, such as Naive Bayes, Logistic Regression, Random Forests, or Support Vector Machines. Our approach relies on a bag-of-words strategy and custom-designed features tailored for electricity data. We validate our method on the IDSEM dataset, which includes 75,000 electricity invoices with eighty-six fields. The model converts PDF invoices into text and processes each word separately using a context of eleven words. The results of our experiments indicate that Support Vector Machines and Random Forests perform exceptionally well in capturing numerous values with high precision. The study also explores the advantages of our custom features and evaluates the performance of unseen documents. The precision obtained with Support Vector Machines is 91.86% on average, peaking at 98.47% for one document template. These results demonstrate the effectiveness of our method in accurately extracting key values from invoices.
The effect of workplace bullying on knowledge sharing of the employees in scientific and technological enterprises: a moderated mediation model
Field: PSYCHOLOGY

This study aims to understand how workplace bullying affects knowledge sharing among employees in Chinese scientific and technological enterprises. A convenience sampling method was employed to survey 275 employees from scientific and technological enterprises of Yangtze River Delta, China. The survey utilized a general information questionnaire, a workplace bullying scale, an organizational belonging scale, a knowledge sharing scale, and a forbearance scale. A moderated mediation model was set up, and the hierarchical regression and the bootstrapping method were applied. The empirical results indicated that workplace bullying has a negative effect on the knowledge sharing, and organization belonging has played mediating effect. Furthermore, Forbearance not only moderated the effect of workplace bullying on organizational belonging, but also moderated the mediated effect of organization belonging, and the effect will be stronger when employees are at a lower level of forbearance. This study offers important implications for scientific and technological enterprises. The findings imply that enterprises should discourage person-related workplace bullying to increase employees’ intention to engage in knowledge-sharing behavior. Moreover, the manager of these firms should develop a culture of family so that they can care for the organization belonging.
Multifaceted perception of school climate: association between students’ and teachers’ perceptions and other teacher factors
Field: EDUCATION

Introduction: This study aimed to investigate whether there is a significant association between teachers’ and students’ perceptions of school climate, and if not, whether teacher factors are associated with the respective perceptions.Methods: The participants included 1,831 students and 59 homeroom teachers from 11 public elementary and junior high schools in Japan. Multilevel models were used to examine the association between students’ and teachers’ perceptions of school climate.Results: Of the three teacher-rated school climate scales, only teacher-perceived disciplinary climate was associated with students’ perceptions of school climate. Teachers’ working conditions, such as self-efficacy and stress, were associated with teachers’ perceptions but not students’ perceptions of school climate. Disciplinary climate was associated with students’ perceptions of school climate, even after accounting for the teachers’ working conditions.Discussion: Items questioning specific student behaviors, such as those included in the disciplinary climate scale, may be effective in avoiding incongruence with student evaluations. Moreover, maintaining disciplinary climate itself is important for students’ positive perceptions of the school climate. A disciplinary climate in which teachers and students share responsibility for learning and classroom organization, and strategies that support positive student behavior are preferable to exclusionary discipline strategies. Incorporating feedback data gathered through classroom observations or student perceptions is also important in resolving the incongruence between teachers’ and students’ perceptions of the school climate.