Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic among Swedish employees: a cohort study on the role of job instability and job insecurity by Sandra Blomqvist, Hugo Westerlund, Linda L. Magnusson Hanson

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Adverse outcome pathway (AOP) framework for predicting toxic mechanisms in E-cigarette-induced lung injury by Yan Chen, Hongqian Jiang, Wei Liu, Zhenguang Du, Zhenyuan Wang, Zhicheng Zhou, Fusheng Chi

“…This AOP framework establishes a predictive paradigm linking structural properties of nicotine delivery systems to signaling perturbations, advancing toxicity assessment for next-generation tobacco products.…”
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Novel insights into the genetic basis and transcriptomic elucidation of virulence attenuation in Pseudomonas syringae pv. actinidiae variants by Muhammad Asif, Renjian Hu, Ting Xie, Rong Fan, Youhua Long, Yong Wang, Shiping Wu, Zhibo Zhao, Lili Huang

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Organizational Commitment, Job Satisfaction, and Work Environment: Pathways to Stress, Engagement, and Turnover in Pakistan Special Education Centres by Saheba Javaid Akhter, Shaikh Muhammad Fakhre Alam Siddiqui, Hammad Zafar

“…Purpose: The study examines the relationships between occupational stress, employee engagement, job satisfaction, organizational commitment, and turnover intention, with a focus on employees in Pakistani special education centers. …”
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Examining Occupational Stress and its Related Factors in Nurses Working in the Educational Hospitals of Kashan University of Medical Sciences by Hamidreza Gilasi, Fatemeh Mohebbi, Najmeh Sharifi

“…This study aims to investigate occupational stress and its related factors in nurses working in the educational hospitals of Kashan University of Medical Sciences. …”
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Incorporating soil moisture data into a machine learning framework improved the predictive accuracy of corn yields in the U.S. by Bishwoyog Bhattarai, Zachary Leasor, André Fróes de Borja Reis

“…We hypothesize that incorporating soil moisture and temperature data from land surface models into a ML framework will enhance accuracy of corn yield predictions. To test this, we employed XGBoost algorithm using long-term (2010–2022) yield data collected from multi-environment corn trials conducted by the Variety Testing Program at the University of Missouri, along with weather data from Daymet database, soil data from North American Land Data Assimilation System (NLDAS-2), and POLARIS soil database. …”
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CS03 | Khorana risk score and genomic profiling for prediction of venous thromboembolism in ovarian cancer

“…Figure 1. Evaluation of the predictive role of genomic mutations in patients with ovarian cancer. a. …”
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Compression-compression fatigue life prediction model of T300/69 laminates under edge impact by ZHANG Peng, LIU Jianhui, WEI Yaobing

“…Therefore, it is of practical engineering significance to establish a fatigue life prediction model for low-velocity impact at the edge. …”
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Contact fatigue limit prediction method for heavy-duty gears considering hardness gradient characteristics by Boyu Zhang, Yongyong He, Zhengwei Wang

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Structure-tailored superlattice Bi7Ti4NbO21: Coupling octahedral tilting and rotation induced high ferroelectric polarization for efficient piezo-photocatalytic CO2 reduction by Jingren Ni, Rufang Zhao, Chendi Shi, Yuanyuan Ji, Aize Hao, Aiting Xie, Hongjian Yu, Siew Kheng Boong, Hiang Kwee Lee, Chuanqiang Zhou, Jie Han

“…Meanwhile, Bi7Ti4NbO21 nanosheets provide abundant active sites to effectively adsorb CO2 and acquire sensitive stress response, thereby presenting synergistically advanced piezo-photocatalytic CO2 reduction activity with a high CO generation rate of 426.97 ​μmol ​g−1 ​h−1. …”
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Evaluating the feasibility of using crystalline patterns induced by PBF-LB to predict strength enhancing orientations by José David Pérez-Ruiz, Luis Norberto López de Lacalle, Wilmer Velilla-Díaz, Jaime A. Mesa, Gaizka Gómez, Heriberto Maury, Gorka Urbikain, Haizea Gonzalez

“…A distinctive feature of the PBF-LB process is its capacity to develop crystalline patterns, which can be utilized to predict strength-enhancing orientations of the produced components. …”
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Biomarkers for intensive care unit-acquired weakness: a systematic review for prediction, diagnosis and prognosis by Jiamei Song, Ting Deng, Qingmei Yu, Xun Luo, Yanmei Miao, Leiyu Xie, Yongming Mei, Peng Xie, Shaolin Chen

“…Biomarkers offer potential for diagnosing, predicting, and prognosticating ICU-AW, but a comprehensive synthesis of the available evidence is still lacking. …”
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Understanding and responding to the effects of trauma in the classroom: A primer for educators by Jessica B. Koslouski, Kristabel Stark, Sandra M. Chafouleas

“…We also address educators’ relationships with caregivers and describe strategies for mitigating the toll secondary traumatic stress (Figley, 1995) can take on educators. …”
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Emotional regulatory flexibility mitigates effects of school-related stress by Orly Harel, Alla Hemi, Einat Levy-Gigi

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The medical student stressor questionnaire (MSSQ): validation and reliability in Turkish students by Funda Seher Özalp Ateş, Elif Akçay, Derya Gökmen, Süheyla Rahman

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Histogram-based gradient boosting machine with SHAP-driven interpretability for predicting intensity of urban heat Island effect by Nhat-Duc Hoang

“…Abstract This study presents a novel framework for the analysis and prediction of urban heat stress. To conduct the analysis, urban Land Surface Temperature (LST) data were retrieved from Landsat 8 during the dry seasons in 2006, 2014, and 2022. …”
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Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model by Abhishek Kumar Dubey, Prakash Kumar Jha, Kumari Shubha, RN Singh, Manisha Tamta, Sonam Sah, Santosh Kumar, Sanjeev Kumar, Rakesh Kumar, Kirti Saurabh, Rajeev Kumar, Anup Das, P. V. V. Prasad, Arbind Kumar Choudhary

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A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results by Ali Reza Ghanizadeh, Ahmad Aziminejad

“…The developed WNN model is able to predict liquefaction with an overall accuracy of 96.52% based on two input variables, namely modified cyclic stress ratio (CSR7.5) and SPT number (N1,60). …”
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The predictive utility of the E-PASS score for postoperative complications in robot-assisted partial nephrectomy: a retrospective cohort study by Cagatay Ozsoy, Erhan Ates, Resat Inal, Mucahit Gelmis, Sahin Kilic, Mutlu Ates

“…The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, originally developed for gastrointestinal surgery, combines physiological and surgical parameters for the prediction of postoperative risk. …”
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Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection by Insuck Baek, Minhyeok Cha, Seunghyun Lim, Brian M. Irish, Sookyung Oh, Jishnu Bhatt, Rakesh K. Upadhyay, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

“…We also developed machine learning (ML) models for yield prediction and identified yield-associated SNP markers. …”
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