Suppression of p53-inducible gene 3 is significant for glioblastoma progression and predicts poor patient prognosis by Jishu Quan, Yong Li, Meihua Jin, Dunfu Chen, Xuezhe Yin, Ming Jin

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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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Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models by Azita Molaeinasab, Hossein Bashari, Mostafa Tarkesh Esfahani, Saeid Pourmanafi, Norair Toomanian, Bahareh Aghasi, Ahmad Jalalian

“…For CaSO4, Band 5 (B5) and TCB were the most effective, whereas SO4 predictions were driven by TCB along with Bands 5 and 7. …”
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From Crisis to Algorithm: Credit Delinquency Prediction in Peru Under Critical External Factors Using Machine Learning by Jomark Noriega, Luis Rivera, Jorge Castañeda, José Herrera

“…Among the evaluated models, <i>CNN</i> and <i>XGB</i> consistently demonstrate superior adaptability, defined as their ability to maintain strong predictive performance across diverse stress scenarios—including pandemic, climate, and unrest contexts—and to dynamically adjust to varying input distributions and portfolio conditions. …”
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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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Attachment-based compassion therapy and adapted mindfulness-based stress reduction for the treatment of depressive, anxious and adjustment disorders in mental health settings: a randomised controlled clinical trial protocol by Jesus Montero-Marin, Carlos Collado-Navarro, Mayte Navarro-Gil, Alba Lopez-Montoyo, Marcelo Demarzo, Paola Herrera-Mercadal, Alberto Barcelo-Soler, Javier Garcia-Campayo

“…In this randomised controlled trial, we hypothesise that the provision of attachment-based compassion therapy (ABCT), which is a compassion-based protocol, will be more effective than mindfulness-based stress reduction (MBSR), which is a conventional MBI programme, for the treatment of depressive, anxious and adaptive symptoms in patients in mental health settings.Methods and analysis Approximately 90 patients suffering from depressive, anxious or adjustment disorders recruited from Spanish mental health settings will be randomised to receive 8 weekly 2 hours group sessions of ABCT, 8 weekly 2.5 hours group sessions of adapted MBSR (with no full-day silent retreat) or treatment as usual (TAU), with a 1:1:1 allocation rate. …”
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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

“…This enables adaptive SC current prediction to dynamically offload high transient loads from the battery. …”
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Optimizing Power Sharing and Demand Reduction in Distributed Energy Resources for Apartments Through Tenant Incentivization by Janak Nambiar, Samson Yu, Jag Makam, Hieu Trinh

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Microdamage caused by fatigue loading in human cancellous bone: relationship to reductions in bone biomechanical performance. by Floor M Lambers, Amanda R Bouman, Clare M Rimnac, Christopher J Hernandez

“…The relationship between reductions in Young's modulus and proportion of fatigue life was nonlinear and suggests that most microdamage generation occurs late in fatigue loading, during the tertiary phase. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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Intelligent classification and prediction of students’ mental health in online learning environments using boosting algorithm and LIWC features by Xiaomin Xu, Tianrong Zhang

“…Experimental results show that the model’s classification accuracy ranges between 98 and 99%, effectively reducing misclassification rates and accurately identifying students experiencing high stress and anxiety. The model enhances mental health status classification and real-time monitoring accuracy, offering critical support for targeted psychological interventions in education.…”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

“…The findings reveal that as the mining face advances to nearly 100 m from the fault, the surrounding stress intensifies to about 21 MPa, creating a pronounced stress concentration. …”
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Finite Element Analysis and Machine Learning‐Based Prediction of Oil Tank Behavior Under Diverse Operating Conditions by Themba Mashiyane, Lagouge Tartibu, Smith Salifu

“…For the ML, ANFIS excelled in predicting stress and strain with R2 values of 0.999, while ANN proved superior for useful life predictions with R2 values of 0.998. …”
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Radix Actinidia chinensis Suppresses Renal Cell Carcinoma Progression: Network Pharmacology Prediction and In Vivo Experimental Validation by Biao Liu, Liang Zhang

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Intergenerational effects of climate disasters: trimester of pregnancy when a hurricane hits predicts neonate body size by Michaela Emily Howells, Jessica C. Reich, Lenis P. Chen-Edinboro, Alexandra Faith Ortiz Blair

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A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

“…The prediction of brittle failure under excavation in high-stress hard rock materials is always a challenge in rock mechanics and geological engineering in the past few decades. …”
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Development of endothelial dysfunction at an obliterating atherosclerosis of vessels of the lower extremities and markers of prediction of a course of a disease by S. S. Dunaevskaya, Yu. S. Vinnik

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