Structural Optimization Design and Analysis of Interior Permanent Magnet Synchronous Motor with Low Iron Loss Based on the Adhesive Lamination Process by Liyan Guo, Huatuo Zhang, Xinmai Gao, Ying Zhou, Yan Cheng, Huimin Wang

“…Therefore, the iron loss test data from the adhesive process are employed to develop a variable-coefficient iron loss model, enabling precise calculation of the motor’s iron loss. …”
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Study on the Identification Method of Gear Spalling Fault by Shengli Wu, Yimin Shao, Wenting Xing, Xiaochun Jian

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A data integration method for new advances in development cognitive neuroscience by Kelsey L. Canada, Tracy Riggins, Simona Ghetti, Noa Ofen, Ana.M. Daugherty

“…We propose Integrative Data Analysis (IDA) as a promising framework to advance developmental cognitive neuroscience with secondary data analysis. …”
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Multiverse Analysis for Dynamic Network Models: Investigating the Influence of Plausible Alternative Modeling Choices by Björn S. Siepe, Daniel W. Heck

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Comprehensive assessment of ecological vulnerability in arid-semiarid regions based on the ACEVI model and ANP-EWM method: A case study of the HBOYUA (China) by Yu Chen, Weiyun Cao, Kaiwen Ding, Shuai Wang, Peijun Du

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Establishment method of civil aircraft abnormal operation procedure items by ZHANG Congyuan, YANG Yanyan

“…The abnormal procedures are divided into four types，including airworthiness regulation，function failure，route operation factor and model feature procedures. The corresponding procedure items establishment methods are proposed. …”
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Analysis of Optimal Prediction Under Stochastically Restricted Linear Model and Its Subsample Models by Nesrin Güler

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Building a unified model for drug synergy analysis powered by large language models by Tianyu Liu, Tinyi Chu, Xiao Luo, Hongyu Zhao

“…We demonstrate the superiority of the model architecture and the pre-trained strategies of BAITSAO over other methods through comprehensive benchmark analysis. …”
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A multi-label text sentiment analysis model based on sentiment correlation modeling by Yingying Ni, Wei Ni

“…ObjectiveThis study proposes an emotion correlation-enhanced sentiment analysis model (ECO-SAM), a sentiment correlation modeling-based multi-label sentiment analysis model.MethodsThe ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions. …”
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Political conflicts and modern methods of their resolution in the legal field: potential and limitations by I. A. Vetrenko, A. A. Kovalev

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Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma by Hao Lian, Yi‐Peng Han, Yu‐Chao Zhang, Yang Zhao, Shan Yan, Qi‐Feng Li, Bao‐Cheng Wang, Jia‐Jia Wang, Wei Meng, Jian Yang, Qin‐Hua Wang, Wei‐Wei Mao, Jie Ma

“…Here, we employed a trained stemness index model based on an existent one‐class logistic regression (OCLR) machine‐learning method to score MB samples; we then obtained two stemness indices, a gene expression‐based stemness index (mRNAsi) and a DNA methylation‐based stemness index (mDNAsi), to perform an integrated analysis of MB stemness in a cohort of primary cancer samples (n = 763). …”
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Entrepreneurial Intention: Categorization, Classification of Constructs and Proposition of a Model by Fellipe Silva Martins, Eduardo Biagi Almeida Santos, Amélia Silveira

“…We consider the Reinert (1993) method. Four classes emerged in the analysis. The relation between these classes indicated the concern of the studies on EI in replicating methods, techniques and analyses to the new profiles and roles of the entrepreneur. …”
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Perforation and Loading Parametric Effects on Dynamic Rock Deformation and Damage Behaviors During Initial Fracturing Stages in Tight Reservoirs by Bo Chen, Abulimiti Aibaibu, Yuan Liu, Xinwei Guo, Hua Zhou, Xuyang Guo, Bolong Zhu, Xiangyun Zhao

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Democratising complex system modelling by Anabele-Linda Pardi, Elizaveta Burina

“…The novelty of the current approach lies in its compact format and intuitive nature, designed to accommodate a limited amount of computational resources. The proposed modelling method involves the mapping of complex systems from a diversity of disciplines (economic markets, resource management domain and the community impact of suburbanisation) onto a sequence of chemical reactions and involving a subsequent mathematical analysis. …”
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Development and Demonstrational Instantiation of a Method for the Structured Content Analysis of Smartphone Apps by Tobias Weiss, Susanne Strahringer

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NUMERICAL MODELLING OF WAVE SHAPES DURING SHPB MEASUREMENT by Radim Dvořák, Petr Koudelka, Tomáš Fíla

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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

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Bridging the gap: A comparative analysis of traditional and neural network regression methods for predicting university entrant performance in SUAST examination by Nikka A. Singh, Diether C. Montejo

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Flight safety event management method as illustrated by a guided reactivity model by B. I. Bachkalo, S. D. Baynetov, S. G. Bolbat

“…Control of the occurrence of the complete groups of events, their analysis and event management are carried out by event management models developed for each dangerous factor. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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