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<0.05), while academic procrastination, cyberbullying, perceived stress, and alcohol consumption showed significant positive predictive effects (p<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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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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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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Failure Mechanism and Structural Analysis of Chain Slings with Non-Standard Connections by Yujun Choi, Jaesun Lee

“…Chains exhibiting over 10% diameter reduction or increased pitch exceeded discard criteria and showed significant strength loss. …”
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Explaining the contrast responses of evergreen needle-leaved forest and grassland carbon fluxes during the growing season droughts over the North Temperate Zone by Xiaoyuan Li, Shanlei Sun, Yongjian Ren, Zaoying Bi, Yi Liu, Yibo Liu, Botao Zhou, Haishan Chen

“…This understanding is essential for improving predictions of ecosystem responses to water stress and providing critical information to mitigate the effects of drought. …”
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A Novel Method for Aging Life Evaluation of O-Rings Based on the Sealing Performance Degradation Model and the Artificial Neural Network Model by Xiaojia Wang, Yu Huang, Jianning Zhang, Zihui Wang, Weiping Hu, Chao Song

“…Furthermore, an aging life evaluation method for O-rings based on the ANN model is proposed to predict the aging life of O-rings under different temperatures and compression sets. …”
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Dysregulation of MicroRNA-455-5p Contributes to Pulpitis Pathogenesis Through Modulating MYD88 by Qidi Hu, Yihan Fu, Hao Xu

“…ELISA assay was used for the inflammatory indicators. Oxidative stress reaction was also examined. Bioinformatic analysis was used for miR-455-5p target prediction. …”
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Review on analysis of soil moisture changes caused by coal mining subsidence in arid and semi-arid areas and their potential effects on plant physiology and ecology by ZHANG Xuyang, LIU Ying, LONG Linli, SU Yongdong, CHEN Dongxing, CHEN Xiaoyang

“…Coal mining subsidence causes cracks on the ground, coupled with the reduction of groundwater level, which further reduces the already low soil moisture content in arid and semi-arid areas. …”
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Aggressive strategies of the COVID-19 pandemic on the apparel industry of Sri Lanka using structural equation modeling. by Wasantha Rajapakshe, D S M Karunaratna, W H G Ariyaratne, H A Lakshani Madushika, G S K Perera, P Shamila

“…The findings proved that managing workplace stress, particularly improving stressful working environments and aggressive cost reduction strategies, can enhance employee satisfaction. …”
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Triaxial compression test of shear strength parameters of rock-fill materials considering scale effect by Xia Li, Xinggang Shen, Jun Du, Yunfei Sun, Yunfei Sun, Yunfei Sun, Haoran Jin, Haoran Jin, Haoran Jin, Jian Gong, Jian Gong, Jian Gong, Mingjie Jiang, Mingjie Jiang, Mingjie Jiang

“…The results show that increasing dmax enhances both cohesion and internal friction due to stronger interlocking between particles, while a higher gradation area (S), reflecting a broader particle size distribution, reduces these parameters as uneven stress distribution weakens the soil structure. Based on these observations, we propose a shear strength prediction model that incorporates the scale effect, which has been validated using independent datasets from a range of coarse-grained soils.…”
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Study on Vibration Effects and Optimal Delay Time for Tunnel Cut-Blasting Beneath Existing Railways by Ruifeng Huang, Wenqing Li, Yongxiang Zheng, Zhong Li

“…Poor-quality surrounding rock enhances the attenuation of seismic wave velocity and peak stress in the surrounding rock. In the Zhongliangshan Tunnel, a tunnel cut-blasting construction at a depth of 42 m, the best vibration reduction plan of Class III is 3 ms millisecond blasting, in which the surface points achieve separation vibration reduction. …”
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