Asymptotic modeling of viscoelastic thin plates and slender beams, a unifying approach by Terapabkajornded, Yotsawat, Orankitjaroen, Somsak, Licht, Christian, Weller, Thibaut

“…We show that this framework makes it possible to perform the asymptotic analysis for both viscoelastic thin plates and slender beams in a unifying manner. Several models are provided for the dynamic behavior of such structures in bilateral contact with a rigid body on a part of their boundaries with Norton or Tresca friction.…”
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Study on Dynamic Constitutive Model of Weakly Consolidated Soft Rock in Western China by Lei Wang, Hongming Su, Yue Qin, Shiguan Chen

“…According to the characteristics of the stress-strain curves obtained by the test, a constitutive model considering the damage effect, temperature effect, and strain rate effect was established, which was improved by Zhu–Wang–Tang (Z–W–T) constitutive model. …”
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Empirical likelihood based heteroscedasticity diagnostics for varying coefficient partially nonlinear models by Cuiping Wang, Xiaoshuang Zhou, Peixin Zhao

Subjects: “…varying coefficient partially nonlinear model…”
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MODEL PREDICTIVE CONTROL FOR PHOTOVOLTAIC STATION MAXIMUM POWER POINT TRACKING SYSTEM by I. Elzein, Yu. N. Petrenko

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Modelling, optimization and characterization of carbon black derived from waste tyre pyrolysis by Odunayo T. Ore, Festus M. Adebiyi

“…With an R2 and adjusted R2 of 0.99, and a highly significant F-value of 389.62, the model demonstrated excellent accuracy. Analysis of perturbation plots revealed that feedstock mass had the most significant influence on carbon black yield. …”
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Accurate Reaching after Active But Not Passive Movements of the Hand: Evidence for Forward Modeling by H. Branch Coslett, Laurel J. Buxbaum, John Schwoebel

“…These estimates are referred to as forward models. However, relatively little behavioral evidence has been obtained for proposed forward models that provide on-line estimates of current position. …”
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Risk Factors and Predictive Model for Disseminated Intravascular Coagulation in Patients with Multiple Myeloma by Rong Bao MM, Mengtong Fan MM, Min Hu MM, Ling Li BD,   Hasichaolu BD

“…The predictive power of the logistic regression model was evaluated using receiver operating characteristic (ROC) curve analysis. …”
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Nonlinear Model of Vibrating Screen to Determine Permissible Spring Deterioration for Proper Separation by Cristian G. Rodriguez, Manuel A. Moncada, Emilio E. Dufeu, Mario I. Razeto

“…The proposed model allows the prediction of vibrating screen behavior when there is a reduction in spring stiffness. …”
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Mechanical Property of Lateral Piles for Pile Composite Foundation Loaded by Model Test by Chen-xi Feng, Hang Yuan, De-quan Zhou, Peng Du, Chuang-ye Wang, Qiu-ling Yang, Fei Pang, Min Jing, Hui-xian Yu

“…To study the mechanical behavior of lateral restraint piles under such condition, a laboratory model test was conducted. The results are suggested as follows: Axial force distribution curves tend to be “S” shape with two peak values at the upper and lower parts, respectively. …”
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Research on the Model of Distance Education Resource Integration from the Perspective of Comparative Education by Zhao Dan

“…In order to solve the problems of high data loss rate, long time-consuming resource integration, large amount of redundant data, and incomplete results of resource integration in traditional methods, a design method of distance education resource integration model from the perspective of comparative education is proposed. …”
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Model-fitting approach for methylene blue dye adsorption on and seeds-derived adsorbents by Sunanda Sharma, DP Tiwari, KK Pant

“…Kinetics was evaluated using pseudo-first- and second-order models. Weber Morris model helped to understand the intraparticle diffusion during adsorption of methylene blue molecules. …”
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Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate by Xiangyu Tang, Yujuan Chen

“…This paper is concerned with the qualitative analysis of a diffusion SIR epidemic model with networked delay and nonlinear incidence rate. …”
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Dynamics of a Breast Cancer Model for Neutropenia Case due to Chemotherapy Effects by M. Ivan Ariful Fathoni, Fajar Adi-Kusumo, Gunardi Gunardi, Susanna Hilda Hutajulu

“…Our model is a four-dimensional system of the first-order ODE with 13-dimensional parameter space. …”
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Erythrocyte Senescence in a Model of Rat Displaying Hutchinson-Gilford Progeria Syndrome by Manoj Kumar Chaudhary, Syed Ibrahim Rizvi

“…Erythrocytes serve as good model for aging studies. Dihydrotachysterol is known to induce premature aging feature in rats mimicking Hutchinson-Gilford progeria syndrome. …”
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Predator Interference in a Predator–Prey Model with Mixed Functional and Numerical Responses by Jawdat Alebraheem

“…In this paper, a novel predator–prey model that includes predator interference is considered. …”
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Digital chefs and intelligent cooking systems based on multimodal large language model by LI Xinyuan, LI Bai, SUN Yueshuo, ZHANG Tantan, TIAN Yonglin, YIN Zhuyan, WANG Fei-Yue

Subjects: “…multimodal large language model…”
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Longitudinal characterization reveals behavioral impairments in aged APP knock in mouse models by Lisa Blackmer-Raynolds, Lyndsey D. Lipson, Isabel Fraccaroli, Ian N. Krout, Jianjun Chang, Timothy Robert Sampson

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Predicting the Risk of Fundus Lesions in Systemic Lupus Erythematosus: A Nomogram Model by Huan Xie, Fangfang Sun, Huimin Yang, Jin Li

“…The data of the two groups were compared, and the prediction model was established using binary logistic regression analysis. …”
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Implementing a Hybrid Model of Therapy is a Win for Therapists, Patients and Payers by Ben Galin

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A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition by Shi-guang Yue, Peng Jiao, Ya-bing Zha, Quan-jun Yin

“…In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode. To model the team intention as well as the world state and observation, we propose a Logical Hierarchical Hidden Semi-Markov Model (LHHSMM), which has advantages of conducting statistical relational learning and can present a complex mission hierarchically. …”
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