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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Student Wellbeing in Higher Education: The Role of Stressors, Student Identity, and Social Support by Milena W Pszczolinska, Kenneth I Mavor, Paula J Miles

“…To understand student wellbeing from the social perspective, this study aimed to explore the prediction of wellbeing by social factors over and above the effects of stress. …”
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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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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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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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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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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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Accurate Virtual Trial Assembly Method of Prefabricated Steel Components Using Terrestrial Laser Scanning by Yin Zhou, Daguang Han, Kaixin Hu, Guocheng Qin, Zhongfu Xiang, Chunli Ying, Lidu Zhao, Xingyi Hu

“…Experimental results show that the geometric prediction deviation of VTA is less than 1/1800 of the experimental bridge span, and the mean stress predicted via VTA is 90% of the measured mean stress. …”
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Quantifying fracture roughness effects on coal mine spontaneous combustion through a coupled thermos hydro mechanical model by Guoju Lu, Guofei Zhao, Liya Yu, Meihong Zhang, Xiaoli Wang

“…To address this issue, we present a novel predictive model for engineering-scale combustion forecasting, which incorporates an interdisciplinary fracture roughness parameter and integrates fracture roughness, heat conduction, chemical reactions, gas pressure, coal-rock stress and deformation, and adsorption–desorption mechanisms to achieve a comprehensive multi-factor coupling in coal seam gas migration. …”
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Rapeseed Green Manure Coupled with Biochar and Vermicompost Enhances Soil Aggregates and Fungal Communities in Gleyed Paddy Fields by Zhenhao Zhu, Shihong Gao, Yuhao Zhang, Guohan Si, Xiangyu Xu, Chenglin Peng, Shujun Zhao, Wei Liu, Qiang Zhu, Mingjian Geng

“…The GMB strategy mitigates reductive stress, enhances nutrient availability, and activates microbial functionality. …”
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Coal wall deformation monitoring and concentrated load inversion technology based on intelligent support devices by YU Xiang, WANG Guofa, WANG Jiachen, LI Lianghui, WU Haoyang, WANG Yubing

“…Compared to the load magnitude prediction, the model exhibited smaller errors in predicting the position of concentrated loads. …”
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Flow partition in two-dimensional open channels with porous structures by Fikri M. Radiyan, Xiaofeng Liu

“…The simple algebraic model shows good performance and applicability in predicting the flow partition fraction ( $$\alpha$$ ). …”
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Verification of optimal position of shelf graft for acetabular dysplasia using finite element analysis and virtual surgery model by Yohei Yukizawa, Emi Kamono, Shu Takagawa, Shota Higashihira, Hyonmin Choe, Yutaka Inaba, Naomi Kobayashi

“…The reduction rate of acetabular stress exhibited a significant correlation with the equivalent stress on the “inner shelf”, the part implanted in the pelvis, (p < 0.0001). …”
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Correlating Indoor Environmental Quality Parameters with Human Physiological Responses for Adaptive Comfort Control in Commercial Buildings by Haoyue Dai, Saba Imani, Joon-Ho Choi

“…Cross-correlation analysis revealed significant relationships between physiological indicators and environmental factors, with indoor temperature, PM_2.5, and relative humidity showing the strongest impacts on electrodermal activity, skin temperature, and stress levels, respectively (<i>p</i> < 0.05). Furthermore, supervised machine learning techniques were employed to develop predictive models that evaluate IAQ and thermal comfort at both personal and general levels. …”
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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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