The process of teaching anti-financial fraud and individual risk management in a non-economic university by Denis S. Krylov, Inna S. Lebedeva

“…Firstly, the action works in a digital environment familiar to them, and secondly, there is no need for personal communication and an additional stressful situation. Young people, as a rule, are withdrawn and reluctant to make personal contact. …”
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Crisis – Challenge – Coherence: Combining Universal Design for Learning and Sense of Coherence by Yuliana Lavrysh, Daniel Ruhlow

“…The study investigates the effectiveness of using the Universal Design for Learning (UDL) approach as a trauma-sensitive pedagogy strategy in higher education. By integrating the concepts of UDL and Salutogenesis, we aimed to develop a tool that promotes healthy learning, problem-solving, and motivation among students. …”
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Impact of Psychosocial Factors on Mental Health and Turnover Intention Among Health Workers at Different Occupational Statuses: An Exploratory Cross-Sectional Study in China by Fuyuan Wang, Min Zhang, Yiming Huang, Yuting Tang, Chuning He, Xinxin Fang, Xuechun Wang, Yiran Zhang

“…Hiding emotions demands (<i>β</i> = −0.141) and leadership quality (<i>β</i> = 0.130) most strongly predicted general health. The turnover intention rate was 11.01%, with job satisfaction (<i>OR</i> = 0.964) being the strongest negative predictor. …”
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Cumulative Incidence of Mental Disorders Among German Military Personnel Deployed to Iraq 2015–2018—An Epidemiological Study by Ulrich Wesemann, Karl-Heinz Renner, Harald Hofmann, Nils Hüttermann, Gerd-Dieter Willmund

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Integrating Africanised play into digital learning of mathematics in the foundation phase by Mmakgabo Angelinah Selepe, Ramashego Shila Mphahlele

“…Africanised play is a pedagogical transformation that stresses integrating play pedagogies, African culture and digital learning within mathematical curriculum. …”
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R.E.F.L.E.C.T: enhancing Vietnamese EFL undergraduates’ pronunciation proficiency by Ton Nu My Nhat, Hoang Thi Thu Hien

“…Results confirm that reflective writing positively impacts learning outcomes, fostering improved pronunciation and promoting learners’ active engagement in their educational environment. The study introduces the R.E.F.L.E.C.T framework (Realization, Empowerment, Facilitation, Learning, Enhancement, Critical Thinking, and Transformation) to underscore the key values of reflection in higher education. …”
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Multidimensional factors of depressive symptoms among Chinese undergraduate students: a cross-sectional study using binary logistic regression by Wenjia Chen, Jianfei Bai, Haitao Niu, Qingying Zhu, Xiuhan Zhao, Yanyu Dong

“…Standardized scales assessed depressive symptoms (PHQ-9), perceived stress (PSS), academic procrastination (PASS), physical activity (PARS-3), cyberbullying victimization (CVQ), and alcohol use (AUDIT).ResultsResults revealed significant negative associations of sleep duration and physical activity with depressive symptoms (p&lt;0.05), while academic procrastination, cyberbullying, perceived stress, and alcohol consumption showed significant positive predictive effects (p&lt;0.01).DiscussionDespite limitations of convenience sampling and cross-sectional design, findings suggest a complex interplay of multidimensional factors in college students’ mental health. …”
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Rock Mechanical Properties and Breakdown Pressure of High-Temperature and High-Pressure Reservoirs in the Southern Margin of Junggar Basin by Mingwei Kong, Zhaopeng Zhang, Chunyan Zhao, Huasheng Chen, Xinfang Ma, Yushi Zou

“…Finally, the existing prediction model for the formation breakdown pressure was improved by taking the wellbore seepage and thermal stress into consideration. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…In terms of technical implementation, combined with HyperMesh 2023 refinement mesh generation, ABAQUS 2023 simulates the stress distribution of gear under thermal fluid solid coupling conditions, the Gaussian process regression (GPR) stress prediction model, and a fault diagnosis algorithm based on wavelet transform and the depth residual shrinkage network (DRSN), and analyzes the vibration signal and stress distribution of gear under normal, broken tooth, wear and pitting fault types. …”
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Filipino language anxiety among science high school students by Dominic Patric G. Galdonez

“…The study provides valuable insights into the ongoing discourse on language anxiety and how it impacts language acquisition in educational settings.…”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…Mental health prediction systems based on NLP and wearable data delivered up to 91% accuracy in stress and depression detection, while hospital resource forecasting models using deep learning minimized errors in predicting emergency admissions. …”
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Dissolved oxygen and nitrates gradient influence marine microbial complexity and stability in Beibu Gulf by Qing He, Qingxiang Chen, Xinyi Qin, Shengyao Zhou, Rajapakshalage Thashikala Nethmini, Gonglingxia Jiang, Qinghua Hou, Xiaolei Li, Laizhen Huang, Ke Dong, Lingling Xie, Nan Li

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Genome-resolved transcriptomics reveals novel PCE-dehalogenating bacteria from Aarhus Bay sediments by Chen Zhang, Tom N. P. Bosma, Siavash Atashgahi, Hauke Smidt

“…Moreover, metatranscriptome analysis suggested that the RDase genes were likely under the regulation of transcriptional regulators not previously associated with organohalide respiration, such as HrcA and SigW, which are known to respond to abiotic environmental stresses, such as temperature changes. Combined application of genomic methods enabled us to pinpoint novel OHRB from pristine environments not previously known to mediate reductive dechlorination and to add to the current knowledge of the diversity, activity, and regulation of RDase genes.IMPORTANCEPristine marine environment is the major reservoir for naturally produced organohalides, in which reductive dehalogenation underneath plays an important role in the overall cycling of these compounds. …”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Objective: the objective of the research was to explore the integration of advanced neuroimaging techniques and artificial intelligence to enhance early detection, longitudinal monitoring, and risk prediction of cerebrovascular events in athletic populations. …”
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A modification design method for the angular misalignment of the spline drum shaping by YUAN Xichuan, LIU Qi, TANG Jinyuan, LI Yuan, SU Hui

“…The optimal modification design for <italic>P</italic>_max minimization was achieved by analyzing contact region features in the minimum-<italic>P</italic>_max sample and combining them with the established prediction formulas. Finite element simulation and test verification were subsequently conducted to validate the accuracy and effectiveness of this method.ResultsThe analytical results demonstrate that regarding computational efficiency, the proposed method reduces finite element simulations from 6-10 iterations required by traditional trial-and-error approaches to a single simulation for determining optimal modification, achieving over 80% efficiency improvement; in performance enhancement, the optimized modification demonstrates 30.22% reduction in contact stress and 50% decrease in maximum tooth wear volume under misalignment conditions, effectively eliminating edge contact while significantly extending service life.…”
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Experimental Investigation of Axial Pull-out Behavior of Glued-in Threaded Rods in Cross-Laminated Timber by Zhibin Ling, Zheng Li, Zhoujun Li, Chao Yang, Wei Zheng, Lingfeng Zhang

“…Additionally, larger rod diameters led to higher pull-out loads and withdrawal stiffness within a certain range but reduced the average bond stress. The study also evaluated the effectiveness of existing bond stress-slip models and pull-out load prediction models for GiR connections in CLT, providing a foundation for future standardization efforts.…”
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Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

“…This study models a system that employs a Random Forest algorithm for prediction and classification, using age, gender, hours spent, and technological experience as parameters to categorize stress into high, moderate, and low levels. …”
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N-acetylcysteine in Kidney Disease: Molecular Mechanisms, Pharmacokinetics, and Clinical Effectiveness by Estefani Y. Hernández-Cruz, Omar E. Aparicio-Trejo, Fadi A. Hammami, Daniel Bar-Shalom, Martin Tepel, Jose Pedraza-Chaverri, Alexandra Scholze

“…Furthermore, studies suggest that very high concentrations of NAC should be avoided because they could exert reductive stress. Delayed administration of NAC might interfere with endogenous repair mechanisms. …”
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Machine Learning based estimation of Chlorophyll and Flavonoid content in Bitter Leaf using Color and GLCM Texture Features by Retno Damayanti, Yusuf Hendrawan, Sandra Sandra

“… The prediction of plant biochemical content is critical for applications in both agriculture and pharmacology. …”
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Integrated Numerical and Taguchi‐Based Optimisation of Forging Parameters for DIN 42CrMo4 Engine Connecting Rod Steel by Japheth Obiko, Brendon Mxolisi, Nicholus Malatji

“…Case 2: temperature (1200°C), die velocity (115 mm/s), die temperature (215°C) and the friction coefficient (0.2) for multiple response prediction. The ANOVA results indicate that the most significant factors were deformation temperature (influencing maximum stress and tensile stress) and friction coefficient (influencing maximum strain and damage). …”
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