Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging by LI Dong, HE Haopeng, PENG Yangbin, XIN Kaiyue, YAO Xianping, GE Xinlai

“…Compared with other IGBT lifetime evaluation methods, the factors are considered more comprehensively, and the prediction results are more accurate.…”
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Research Progress on Adhesion Mechanism and Testing Methods of Emulsified Asphalt–Aggregate Interface by Hao-Yue Huang, Xiao Han, Sen Han, Xiao Ma, Jia Guo, Yao Huang

“…There are challenges in predicting and controlling the adhesion performance under complex environments, as well as important opportunities for developing advanced characterization techniques and multiscale simulation methods.…”
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Improving measures of context in process evaluations: development and use of the Context Tracker tool by Joanna Busza, Fortunate Machingura, Cedomir Vuckovic

“…Methods We present a method to help structure measures of context in process evaluations and describe its use in two very different settings. …”
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Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study by Xiaoyan Han, Hua Yang

“…Abstract Aim Our study aimed to evaluate the predictive value of Placental growth factor (PlGF), Vitamin D, and systemic inflammatory index for assessing preeclampsia risk and severity. …”
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RETROSPECTIVE EVALUATION OF ASA CLASSIFICATION’S PREDICTIVE ABILITY OF POSTOPERATIVE COMPLICATIONS IN PATIENTS ADMITTED TO INTENSIVE CARE UNIT AFTER MAJOR ABDOMINOPELVIC SURGERY by Emre Sertaç Bingül, Ayşe Hızal, Başar Erdivanlı, Hızır Kazdal

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Evaluation of Torque Teno Virus DNA Load as a Predictive Biomarker in Kidney Transplant Recipients Converted from Calcineurin Inhibitors to Belatacept by Lara Cabezas, Aurelie Truffot, Raphaele Germi, Mathilde Bugnazet, Paolo Malvezzi, Manon Gnesotto, Lionel Rostaing, Thomas Jouve, Johan Noble

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Improvement in low-homology template-based modeling by employing a model evaluation method with focus on topology. by Wentao Dai, Tingrui Song, Xuan Wang, Xiaoyang Jin, Lizong Deng, Aiping Wu, Taijiao Jiang

“…To improve the performance of TBM methods for such targets, a novel model evaluation method was developed here, and named MEFTop. …”
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Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods by Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams

“… Introduction: Coronary artery bypass grafting (CABG) surgery requires an extended length of stay (LOS) in the intensive care unit (ICU). This study aimed to predict the factors affecting LOS in the ICU after CABG surgery using machine learning methods. …”
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Fatigue property evaluation of 7075/6061 aluminum alloy TIG welded overlap joints by LIAO Xiangyun, WANG Ruijie, LIU Guoshou, ZHAO Pinglin, CHANG Yaguang, WANG Zhongde

“…Both the point method and the line method within the critical distance method can predict hot spot stress, but the point method yields more precise results than the line method.…”
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Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study by Donghao Chen, Pengfei Wang, Xiaolong Zhang, Runqi Qiao, Nanxi Li, Xiaodong Zhang, Honggang Zhang, Gang Wang

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Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

“…The study evaluates each method’s performance on three datasets characterized by autocorrelation, comparing their predictive accuracy and variability. …”
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Probabilistic-Based Forecasting Method For Time Series Datasets by Abdullatif Baba

“…The predicted states that are determined by using our method converge rapidly towards the real values while a classical linear model exhibits a large amount of divergence if used alone here. …”
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Automatic method to predict visual pleasantness and unpleasantness of streetscapes and identify key microscale components for improving pedestrian environments by Meesung Lee, Byungjoo Choi, Sungjoo Hwang

“…This study advances urban evaluation by developing an automatic method to predict streetscape quality and analyze microscale components. …”
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The prediction method for ground surface settlement of pipe jacking tunnels based on a spatiotemporal transfer learning network by Hairong Huang, Lian Yuan, Jian Chen, Shixia Zhang

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Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

“…To address this limitation, we developed the U-smile method, a residual-based, post hoc evaluation approach for assessing prediction improvements and worsening separately for events and non-events. …”
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An improved method for predicting the permeability of Chang 7 shale oil reservoirs based on lithology and hydraulic flow units by Heting Gao, Yanze Sun, Hui Zhao, Fei Zhou, Weichao Tian, Zhigang Wen, Yunpeng Fan, Xiaoyu Chen

“…Abstract Accurate permeability characterization is essential for evaluating shale oil reservoirs quality. Chang 7 shale oil reservoirs, with diverse lithologies, low porosities and permeabilities, complex pore structures, and strong heterogeneity, pose challenges for traditional permeability prediction methods. …”
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An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy by Lijue Liu, Yuan Zang, Huimu Zheng, Siya Li, Yu Song, Xue Feng, Xiyuan Zhang, Yaoxu Li, Lulu Cao, Guanglin Zhou, Tingting Dong, Qi Huang, Teng Pan, Jinhai Deng, Danling Cheng

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Machine Learning Method for TOC Prediction: Taking Wufeng and Longmaxi Shales in the Sichuan Basin, Southwest China as an Example by Jia Rong, Zongyuan Zheng, Xiaorong Luo, Chao Li, Yuping Li, Xiangfeng Wei, Quanchao Wei, Guangchun Yu, Likuan Zhang, Yuhong Lei

“…The total organic carbon content (TOC) is a core indicator for shale gas reservoir evaluations. Machine learning-based models can quickly and accurately predict TOC, which is of great significance for the production of shale gas. …”
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Using the particle finite element method for predicting edge-cracking in complex phase high-strength steel sheets by Sandin Olle, Larour Patrick, Rodríguez Juan Manuel, Kajberg Jörgen, Casellas Daniel

“…The presented PFEM framework predicts optimal cutting conditions for specific AHSS grades by evaluating edge characteristics, such as roll-over, burnish, fracture, and burr, across various clearances. …”
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A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction by Pinzhang Zhao, Lihui Wang, Jian Wei, Yifan Wang, Haifeng Wu

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