Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…In this study, with the idea of combining AI and accounting, we constructed a prediction model of the impact of ESOPs on enterprise performance that integrates language modeling and social sentiment mass data analysis, and introduced the prediction model to analyze the long-term, dynamic and nonlinear impact of ESOPs on enterprises; finally, we constructed an explainable AI (XAI) based on the LSTM model, and used the SHAP value method to explain the impact of ESOPs on enterprise performance. …”
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Development of a Predictive Model for Runway Water Film Depth by Peida Lin, Chiapei Chou

“…The multiple linear regression method is employed to establish a model for WFD predictions. …”
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Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability by Abid Bin Ahosan, Forhadul Islam, Khandaker Mohammad Mohi Uddin, Nahid Hasan, Md Ashraf Uddin

“…This study investigates the effectiveness of various machine learning (ML) techniques in predicting patient outcomes in HBV infection. Methods The Chi-squared test was used for feature selection to find the most important factors, which were later applied to train and evaluate various ML models. …”
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Development of the CAMUS Intra- and Postoperative Risk and Difficulty Estimation Indices Risk Prediction Tool for Estimating Peri- and Postoperative Outcomes, Including Surgical Di... by Christopher Soliman, Patrick Y. Wuethrich, Jochen Walz, Niall M. Corcoran, Nathan Lawrentschuk, Anna Walde, Marc A. Furrer

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Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign by Tomasz Kur, Justyna Śliwińska‐Bronowicz, Malgorzata Wińska, Henryk Dobslaw, Jolanta Nastula, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Sara Bruni, Lue Chen, Mike Chin, Sujata Dhar, Robert Dill, PengShuo Duan, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Songtao Han, Robert Heinkelmann, ChengLi Huang, Christopher Irrgang, Jacek Kudrys, Jia Li, Marcin Ligas, Lintao Liu, Weitao Lu, Volker Mayer, Wei Miao, Maciej Michalczak, Sadegh Modiri, Michiel Otten, Todd Ratcliff, Shrishail Raut, Jan Saynisch‐Wagner, Matthias Schartner, Erik Schoenemann, Harald Schuh, M. Kiani Shahvandi, Benedikt Soja, Xiaoqing Su, Daniela Thaller, Maik Thomas, Guocheng Wang, Yuanwei Wu, CanCan Xu, Xueqing Xu, Xinyu Yang, Xin Zhao, Zhijin Zhou

“…This paper provides the analysis and evaluation of the polar motion predictions submitted during the 2nd EOP PCC with the prediction horizons between 10 and 30 days. …”
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Evolution and Optimization of the HALP Formula for Predicting Free Flap Failure: A Progressive Analysis of Predictive Accuracy by Gabriele Monarchi, Umberto Committeri, Massimiliano Gilli, Giovanni Salzano, Stefania Troise, Giuseppe Consorti, Roberto Benedetti, Paolo Balercia, Antonio Tullio

“…This score has emerged as a potential preoperative risk assessment tool; however, its predictive accuracy for free flap failure has not been fully evaluated. …”
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Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model by Taiping Lin, Xiaotao Huang, Xiang Wang, Miao Dai, Jirong Yue

“…This study aimed to develop and validate a 1-year frailty onset prediction model for initially non-frailty or pre-frailty, community-dwelling older adults.MethodsWe enrolled 1,079 community-dwelling older adults aged >60 years without baseline frailty (i.e., non-frailty or pre-frailty) for the development cohort. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…This paper compares the interpolation effects and accuracy of Linear, Cubic, and Bicubic interpolation methods on wind speed data, with the optimal method subsequently applied to evaluate wind resources in the South China Sea for 2023. …”
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Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model. by Yuebo Liu, Ge Kong, Fantai Meng, Chunlan Guo, Kuo Wan

“…This retrospective study aimed to evaluate the effectiveness of radiographic signatures of apical periodontitis (AP), particularly lesion boundary features, in predicting lesion healing periods using survival analysis. …”
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Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship by Yonghong Wang, Mingzhang Zuo, Xiangchun He, Zhifeng Wang

“…The results showed a strong correlation between the frequency of accessing online learning resources and long-term online learning and academic performance, and a prediction model was established. The framework offers theoretical and methodological insights for designing online learning activities and evaluating learning quality. …”
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Development and validation of novel models based on clonality immunoglobulin gene rearrangement for evaluation of bone marrow involvement and prognostic prediction in patients with... by Zelin Liu, Zelin Liu, Qianping Li, Qianping Li, Ruiqi Liu, Yangyang Ding, Yangyang Ding, Ya Liao, Ya Liao, Linhui Hu, Linhui Hu, Lianfang Pu, Lianfang Pu, Chunhua Zhu, Shenghui Zhang, Shenghui Zhang, Shudao Xiong, Shudao Xiong, Shudao Xiong

“…Adding the combination of IGR and BMB to the IPI and NCCN-IPI score may improve their predictive ability. In summary, IGR is essental for evaluation of BMI and provide an ideal method for disease staging and risk stratification in DLBCL patients in the rituximab era.…”
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Comparative analysis of convolutional neural networks and traditional machine learning models for IVF live birth prediction: a retrospective analysis of 48514 IVF cycles and an eva... by Yu Liu, Yi Wang, Kai Huang, Hao Shi, Hang Xin, Shanjun Dai, Jinhao Liu, Xinhong Yang, Jianyuan Song, Fuli Zhang, Yihong Guo

“…Feature importance and model interpretability were evaluated using SHAP.SettingFirst Hospital of Zhengzhou University.Population48,514 fresh IVF cycles from August 2009 to May 2018.MethodsPreprocessed EMR data were used to train and evaluate five classification models predicting live birth outcomes. …”
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Can the Age of Initiation of Ponseti Casting Predict the Number of Casts, Duration of Treatment, and Overall Outcomes in the Management of Idiopathic Clubfoot in Infants? A Prospec... by Ankit Khurana, Adarsh K Singh, Nandita Joshi, GP Kaushal, Jitender Saini, Himanshu Gupta, Jujhar Singh

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A multifaceted comparative analysis of incremental dynamic and static pushover methods in bridge structural assessment, integrated with artificial neural network and genetic algori... by Ashwini Satyanarayana, V. Sindura, L. Geetha, Rakesh Kumar, Mohd Asif Shah, Mary Subaja Christo

“…The primary objective of this study is to evaluate the dependability and accuracy of SPA and IDA in predicting bridge seismic performance. …”
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CYTOCHROME P450 (CYP2C9) ACTIVENESS, EVALUATED VIA LOSARTAN TEST, AS PREDICTION MARKER FOR THE WARFARIN TREATMENT DOSAGE CHOICE IN PATIENTS WITH DELAYED OUTCOMES AFTER HEART VALVES... by S. M. Arslanbekova, D. A. Sychev, K. B. Mirzaev, R. E. Kazakov, V. V. Smirnov, N. M. Magomedova, E. Z. Golukhova

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High‐grade medial femoral condyle and medial tibial plateau bone bruises predict ramp lesions of the medial meniscus in patients with anterior cruciate ligament tears: A prospectiv... by Filippo Familiari, Luke V. Tollefson, Antonio Izzo, Raffaella Russo, Michele Mercurio, Giorgio Gasparini, Robert F. LaPrade, Giovanni Di Vico

“…Abstract Purpose The purpose of this study was to evaluate potential predictive diagnostic variables on magnetic resonance imaging (MRI) for medial meniscus ramp tears in the presence of an anterior cruciate ligament (ACL) tear. …”
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Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction. by Ruiyu Zhan

“…The experimental results show the exceptional strengths of the proposed LGWO-BP method, particularly its accuracy and reliability compared to GWO-BP, and show that it achieves comparative results against state-of-the-art (SOTA) methods. …”
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Evaluating Properties and Applications of Innovative Recycled Aggregate Concrete by Kameshwar Sahani, Anish Kunwar, Prajwal Dhakal, Arjun Kunwar, Suresh Kumar Sahani, Binay Kumar Pandey, Digvijay Pandey

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Evaluating Serum Amyloid A as a Biomarker in Preeclampsia by Montadhar K. Sultan, Moaed E. Al-Gazally, Bushra J. Al-Rubayae

“…This study aimed to evaluate serum amyloid A as a biomarker in preeclampsia. …”
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Prediction of antiarrhythmic therapy effectiveness in children by L. I. Svintsova, O. Yu. Dzhaffarova, I. V. Plotnikova

“…To optimize treatment tactics in children with arrhythmias based on the evaluation and prediction of the therapy efficacy.Material and methods. …”
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