Developing Frugal Internet of Things with Backpropagation Neural Network for Predicting Impact of Gemini Artificial Intelligence on Student Meditation and Relaxation by Chun-Kai Tseng, Cheng-Hsiang Chan, Liang-Sian Lin, Fu-Jung Wang, Kai-Hsuan Yao, Chao-Wei Hsu

“…When students learned these annotated teaching materials, the ThinkGear ASIC module (TGAM) and galvanic skin response (GSR) sensors were deployed to measure student mindfulness meditation, relaxation levels, and learning stress. We constructed a backpropagation neural network (BPNN) model with three hidden layers to predict student concentration and relaxation levels using GSR data and the time that students spent answering questions. …”
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Strength prediction and optimization for microwave sintering of large-dimension lithium hydride ceramics: GA-BP-ANN modeling by Hongzhou Yan, Huayan Chen, Wenyan Zhang, Maobing Shuai, Bin Huang

“…In this study, we built a genetic algorithm back propagation artificial neural network (GA-BP-ANN) model to predict the strength margins under different work conditions. …”
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Is There an Effect of Initial and 24-Hour Blood Gas Lactate and Methemoglobin Levels on Predicting Mortality of Patients in the Intensive Care Unit? by Serhat Doğan, Sefer Aslan, Tayfun Börta, Mehmet Sarıaydın, Hakan Sezgin Sayıner

“…In intensive care units (ICUs), serum lactate and methemoglobin (metHb) levels are considered significant biomarkers for predicting mortality in critically ill patients. This study investigates the relationship between lactate and metHb levels in blood gas analyses at admission and 24 h later, as well as their association with mortality in ICU patients. …”
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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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What predicts mental health profiles in first-generation college freshmen?: the role of proactive personality and university environment by Ru Chen, Xin Gao, Zekun Zhang, Mingxue Hong, Lulu Zhang

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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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Factors predicted metabolic syndrome among health care workers exposed to coronavirus disease 2022 in Erbil, Iraq by Halgurd Fathulla Ahmed, Hemn Khalid Sabir, Maroof Tahsin Hassan

“…   Background and objective: There have been a recent concern about life style and stress exposure among health care workers during corona virus infection pandemic. …”
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Assessment of Knot-Induced Degradation in Timber Beams: Probabilistic Modeling and Data-Driven Prediction of Load Capacity Loss by Peixuan Wang, Guoming Liu, Fanrong Li, Shengcai Li, Gabriele Milani, Donato Abruzzese

“…Subsequently, a three-dimensional Monte Carlo simulation, modeling random distributions of knot position and size, demonstrates that the midspan region is most sensitive to knot effects, with load capacity loss being more pronounced on the tension side than on the compression side. Finally, a predictive model based on a fully connected neural network is developed; feature analysis indicates that the longitudinal position of knots exerts a stronger nonlinear influence on load capacity than radial depth or diameter. …”
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MULTI-AXIAL FATIGUE LIFE PREDICTION METHOD OF WORKING ROLL NECK BEARING SECTION BASED ON STRAIN ENERGY by JIN Kai, QIN Xiaofeng, WANG Yong, QU Haixia, LI Shuojie, QIN Zhuoyang, XIE Weihang, MA Feiyang

“…The bearing section of the work roll neck often suffers burnout failure due to bearing seizure, and additive manufacturing is usually used in the field to repair it.Life prediction of the repaired roll neck is the key to predict the safe service of the work roll in the field production and carry out overhaul，but there is a lack of research on the related issues.In view of the above problems, the stress analysis and multi-axis life prediction of the working roll neck bearing section of the four-high mill were carried out.Based on the SIMS model and the influence function method, the rolling force and the stress between the rolls were calculated.The moment balance equation of the roll neck end was established in the bearing section, and the bending stress model of the roll neck bearing section was established.The deformation resistance was regarded as the plastic deformation energy per unit volume to calculate the rolling torque in the deformation zone, and the torsional shear stress model of the roll neck bearing section was established.Using the first strength theory, the equivalent stress was obtained by combining the bending stress and the torsional shear stress.On the basis of proving the calculation accuracy of the model, the multi-axis fatigue model was used to predict the fatigue life of the roll neck bearing section, and compared with the service life of the actual roll in the production line.The results show that the stress calculation model of the working roll neck bearing section of the four-high mill is in line with the actual stress state of the roll neck.The error between the expected service life predicted by the theoretical model and the actual service life is less than 20%, which meets the actual engineering error requirements.…”
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Prediction Analysis of College Students’ Physical Activity Behavior by Improving Gray Wolf Algorithm and Support Vector Machine by Minjian Wang

“…It is important to predict and analyze the physical exercise behavior of college students and explore the positive value of physical exercise for college education. …”
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Predicting damage in notched functionally graded materials plates through extended finite element method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul D.S.G. Campilho

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Predicting Job Burnout of Medical Staff of Karaj Government Hospitals by Ego Strength: Mediating Role of Emotion Regulation and Alexithymia by Jamil Mansouri, Mina Mohammadi, Mohammad Ali Besharat, Nazila Amani

“…The indirect path analysis results indicated that the relationship between ego strength and job burnout is substantially mediated by emotion regulation and alexithymia. Considering the stressful environment of hospitals and considering the findings of the research, it is possible to design and implement educational and intervention programs based on ego strength with more emphasis on emotional dimensions, including emotion regulation and alexithymia, in order to reduce the burnout of medical staff.…”
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Predicting Damage in Notched Functionally Graded Materials Plates through extended Finite Element Method based on computational simulations by Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul Campilho

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High Cycle Fatigue Life Prediction of Single-Crystal Specimen Based on TCD Method and Crystal Plasticity Theory by Yunwu Wu, Yixiong Liu, Wei Wang, Ying Li, Rui Geng

“…This paper performs a comprehensive investigation on the high cycle fatigue (HCF) life prediction of turbine blade with film cooling holes. …”
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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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Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study by Nassima Naboulsi, Fatima Majid, Taoufik Hachimi, Soufyan Dadoun, Najoua Barhoumi, Kaouther Khlifi

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Analysis and Prediction of the Dynamic Antiplane Characteristics of an Elastic Wedge-Shaped Quarter-Space Containing a Circular Hole by Shen Liu, Jie Yang, Yue Liu, Qin Liu

“…Finally, the back propagation (BP) neural network prediction model of DSCF is established, and the coefficient of regression is found to reach more than 0.99.…”
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