Constitutive Model and Deformation Characteristics of a Throat Insert Made of the C/C Composite by Weiping Tian, Chunguang Wang

“…The Jones-Nelson model is expanded and modified to characterize the C/C composite under complex load conditions. …”
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Modelling of evolutions of potentials and deformations for aluminium alloy, chilling in three-dimensional space pattern by A. N. Chichko, E. A. Drozdov, O. I. Chichko

“…The method of computer modeling, synthesizing cell- automatic approach and equations of termoelasticity for the processes, proceeding at crystallization of metal invironment, is offered. …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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A Model of Trust within the Mother-Midwife Relationship: A Grounded Theory Approach by Firoozeh Mirzaee, Mahlagha Dehghan

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Molecular Findings Before Vision Loss in the Streptozotocin-Induced Rat Model of Diabetic Retinopathy by Mădălina Moldovan, Roxana-Denisa Capraș, Raluca Paşcalău, Gabriela Adriana Filip

“…The streptozotocin-induced rat model of diabetic retinopathy presents similarities to the disease observed in humans. …”
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Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model by Harun Akif Kabuk, Yasar Avsar, S. Levent Kuzu, Fatih Ilhan, Kubra Ulucan

“…A surface map of this issue was prepared with a fuzzy logic model. Furthermore, fuzzy logic was employed to the whole modeling of the biological system treatment. …”
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Real-time prediction system for prevention of acute renal failure based on AI model by Shih-Chang Hsia, Szu-Hong Wang, Liang-Fu Chen, Bo-An Ko

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Func-Bagging: An Ensemble Learning Strategy for Improving the Performance of Heterogeneous Anomaly Detection Models by Ruinan Qiu, Yongfeng Yin, Qingran Su, Tianyi Guan

“…In the field of ensemble learning, bagging and stacking are two widely used ensemble strategies. Bagging enhances model robustness through repeated sampling and weighted averaging of homogeneous classifiers, while stacking improves classification performance by integrating multiple models using meta-learning strategies, taking advantage of the diversity of heterogeneous classifiers. …”
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Cross-Diffusion-Driven Instability in a Reaction-Diffusion Harrison Predator-Prey Model by Xiaoqin Wang, Yongli Cai

“…We present a theoretical analysis of processes of pattern formation that involves organisms distribution and their interaction of spatially distributed population with cross-diffusion in a Harrison-type predator-prey model. We analyze the global behaviour of the model by establishing a Lyapunov function. …”
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The analysis of uncertainty factors influence on mathematical modeling of ammonia compression in wet vapor area by D. Kh. Sadvakasov, G. I. Chernov, V. L. Yusha

“…The paper presents the influence analysis of such uncertainty factors as the heat transfer coefficient calculation method and the working chamber wall temperature on the mathematical modeling of the ammonia compression in a reciprocating compressor stage during the condensation of ammonia vapors. …”
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Modeling and Prediction Method for CNC Machine Tools’ Errors Based on Spatial Feature Points by Guohua Chen, Lin Zhang, Hua Xiang, Yong Chen

“…In order to improve the precision of CNC machine tools effectively, a method for modeling and predicting their spatial errors based on spatial feature points was proposed. …”
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Machine learning regression models and associated variables for predicting preoperative anxiety in paediatric patients by Abdul Rahman, Javed Khan Sheikh, Mohammad Sarwar Raeen

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An Updated Model Does Not Reveal Sex Differences in Patellofemoral Joint Stress during Running by Laura Jacobson, C. Nathan Vannatta, Catherine Schuman, Thomas W. Kernozek

“…Three-dimensional patellofemoral models may be necessary to determine if sex differences in patellofemoral joint stress exist…”
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Research on Co-Interactive Model Based on Knowledge Graph for Intent Detection and Slot Filling by Wenwen Zhang, Yanfang Gao, Zifan Xu, Lin Wang, Shengxu Ji, Xiaohui Zhang, Guanyu Yuan

“…The experimental results demonstrate that the proposed CIMKG model outperforms benchmark models.…”
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A Mathematical Model of Tumor-Immune and Host Cells Interactions with Chemotherapy and Optimal Control by Tarekegn Dinku, Boka Kumsa, Jyotirmoy Rana, Aiyappan Srinivasan

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Modèle de la compétence, VAE : faut-il repenser la formation professionnelle ? by Françoise Bréant, Pierre Hébrard, Philippe Prévost, Patricia Vallet

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A Model System for Concurrent Detection of Antigen and Antibody Based on Immunological Fluorescent Method by Yuan-Cheng Cao

“…First, goat anti-human IgG was used to capture human IgG (model antigen); goat anti-human IgG (Cy3 or FITC) was used to detect the model antigen; a saturating level of model antigen was then added followed by unlabelled goat anti-human IgG (model antibody); finally, Cy3 labelled rabbit anti-goat IgG was used to detect the model antibody. …”
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Financial Crisis Early Warning Based on Panel Data and Dynamic Dual Choice Model by Qingyu Du

“…The dynamic Logit model is used to predict the early warning status of systemic financial crisis in 2020, and the forecast of various early warning indicators is realized by the ARIMA model. …”
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Multi-Flexible Body Dynamics Modeling and Experimental Study of the Patient Rehabilitation Transfer Device by Wu Ren, Kailu Zhang, Xueling Zhang, Ziya Zhao, Fei Lin, Kai Xie, Jia Li, Yi Yu

“…Then the multi-rigid body dynamic and finite element flexible body models were established. Next, the dynamic characteristic difference between the two models of the device was studied. …”
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Economic and Sensitivity Analyses of Controllable Queues With Customer Feedback and Impatience Using Markovian Modeling by Shreekant Varshney, Mankumar Acharya, Zala Jenishkumar Kanjibhai, Mukesh Pushkarna, Walid El-Shafai, Ievgen Zaitsev

“…The present investigation proposes a unique strategy for the establishment of a controllable queuing system using Markovian modeling. In comparison to conventional models, this approach combines customer impatience, feedback procedure, and working vacation into the statistical modeling of queues in a novel manner. …”
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