Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses by Yuanying Zhao, Xingde Duan

“…We extend the partial posterior predictive p value for goodness-of-fit statistic to investigate the plausibility of the posited model. …”
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Improvement of Single-phase Four-quadrant Converter Dual-loop Control by LI Wei

“…Because of the shortcoming of dual-loop control based on coordinate transformation method for single-phase fourquadrant rectifier, the mathematical model on rotational coordinates was proposed. The improved algorithm based on current state feedback and predictive current control was proposed and implemented. …”
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Spectral purification improves monitoring accuracy of the comprehensive growth evaluation index for film-mulched winter wheat by Zhikai Cheng, Xiaobo Gu, Yadan Du, Zhihui Zhou, Wenlong Li, Xiaobo Zheng, Wenjing Cai, Tian Chang

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A Proactive Complex Event Processing Method for Large-Scale Transportation Internet of Things by Yongheng Wang, Kening Cao

“…Based on a multilayered adaptive dynamic Bayesian model, a Bayesian network structure learning algorithm using search-and-score is proposed to support accurate predictive analytics. …”
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Simulation of Minefield Installation in a Video Game Engine by Maksym Maksymov, Oleksii Neizhpapa, Oleksandr Toshev, Maksym Kiriakidi

“…The first objective of this research is to improve damage prediction algorithms, enabling the simulation to more accurately estimate the consequences of ships passing through a minefield. …”
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Abstract How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring method based on machine learning. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. …”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…However, challenges such as algorithmic bias and unequal access persist, underscoring the need for ethical frameworks and culturally responsive pedagogies. …”
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Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems by Changzhi Yang, Linyu Wei, Xi Huang, Lili Tu, Yanjia Xu, Xiaolong Li, Zhe Hu

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Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review by Shailesh S. Nayak, Saikiran Pendem, Girish R. Menon, Niranjana Sampathila, Prakashini Koteshwar

“…Various imaging modalities, including MRI, PET/CT, and advanced techniques like ASL and DTI, were utilized to extract radiomic features for analysis. Machine learning algorithms such as deep learning networks, support vector machines, random forests, and logistic regression were applied to develop predictive models. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The methodological task integrates the main elements of methodological activity concerning planning and designing of educational process and its management by the teacher, and also predicts educational and cognitive actions of pupils. …”
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In-depth insight into structure-reactivity/regioselectivity relationship of Lewis acid catalyzed cascade 4πe-cyclization/dicycloexpansion reaction by Ka Lu, Pan-Pan Zhou, Yong-Qiang Tu, Fu-Min Zhang, Xiao-Ming Zhang, Kai Li, Kun Fang, Yun-Peng Wang, Zi-Hao Li, Jia-Qi Li

“…Then, DFT calculations combined with machine learning algorithms establish a prediction model for first cycloexpansion (i e. regioselectivity). …”
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Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

“…The ground‐truth (GT) perspective lesion‐level sensitivity and prediction‐perspective lesion‐level precision are reported, to quantify the ratios of true positive voxels being detected by algorithms over the number of voxels in the GT labelled regions and predicted regions. …”
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A Fuzzy Simulation Model for Military Vehicle Mobility Assessment by Aby K. George, Harpreet Singh, Macam S. Dattathreya, Thomas J. Meitzler

“…The interest is greater in predicting the mobility for military vehicles. In this paper, authors review various definitions of mobility. …”
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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

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Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial Images [version 2; peer review: 2... by Srikanth Prabhu, Vinod Nayak, Aparna Jayakala, Krishna Prakasha K, Gangothri Sanil

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Exploring Mechanisms of Lang Qing Ata in Non-Alcoholic Steatohepatitis Based on Metabolomics, Network Pharmacological Analysis, and Experimental Validation by Li S, Zhu H, Zhai Q, Hou Y, Yang Y, Lan H, Jiang M, Xuan J

“…By integrating known databases and target prediction algorithms, which encompassed database-based target prediction, protein-protein interaction networks, as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, we unveiled the potential key targets and signaling pathways that these bioactive components might engage with. …”
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Exploration of crucial stromal risk genes associated with prognostic significance and chemotherapeutic opportunities in invasive ductal breast carcinoma by Guohua Tang, Zhi Wang, Wei Geng, Yang Yu, Yang Zhang

“…We employed a variety of algorithms, such as the log-rank test, the LASSO-cox model, the univariate regression model, and the multivariate regression model, to predict prognostic-risk genes and the prognostic-risk model. …”
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Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

“…Using appropriate algorithmic techniques, the study expects the model to have a sensitivity of >80% and a positive predicted value of >70%. …”
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A Novel Method for Describing Texture of Scar Collagen Using Second Harmonic Generation Images by Guannan Chen, Gaoqiang Liu, Xiaoqin Zhu, Mingyu Liu, Encai Zhang, Jichun Li, Kun Zhang, Lihang Lin

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