The State-Dependent Impulsive Model with Action Threshold Depending on the Pest Density and Its Changing Rate by Ihsan Ullah Khan, Sanyi Tang, Biao Tang

“…The analytical techniques developed in this paper can play a significant role in analyzing the impulsive models with complex phase set or impulsive set.…”
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Systemically modeling the dynamics of plasma insulin insubcutaneous injection of insulin analogues for type 1 diabetes by Jiaxu Li, Yang Kuang

“…Our models explicitly model the plasmainsulin and hence have the advantage of computing the plasmainsulin directly. …”
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A Comprehensive and Structured Maturity Model for Measuring AI Adoption Levels in Industry 4.0 by Maria Amelia Eliseo, Leonildo Carnevalli Junior, Ismar Frango Silveira

“…In this context, this study introduces a structured model grounded in the theoretical exploration of Industry 4.0 maturity models to assess the current maturity levels of AI utilization in the industry. …”
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Building Information Modeling as a Moderator Effects the Relationship Between Sustainability Metrics and Stakeholder Satisfaction by Hisham Noori Hussain Al-Hashimy

Subjects: “…Building Information Modeling…”
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A growing degree day model determines the effect of temperature stress on diverse chickpea genotypes by Cara Jeffrey, Cara Jeffrey, Cara Jeffrey, Laura Ziems, Laura Ziems, Brent Kaiser, Brent Kaiser, Richard Trethowan, Richard Trethowan

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Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

“…Utilizing various mainstream oversampling techniques, the dataset was expanded to generate six new datasets, subsequently subjected to 12 classifiers across 84 classification processes. The model incorporating the highest-scoring model from the original dataset and the top two models from the expanded dataset, yielded a high-performance model. …”
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Proposed Model on Amrit Varsha Dhyan by Pandit Shriram Sharma Acharya in Enhancing Emotional Intelligence by Lalima Batham, Swarnkala Singh

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MODELLING THE IMPACTS OF SELECTED WATERSHED MANAGEMENT STRATEGIES ON SEDIMENT REDUCTION UPSTREAM OF SHIRORO DAM, NIGERIA by ADENIYI GANIYU ADEOGUN, HABEEB OLADIMEJI GANIYU, ABRAHAM BABAJIDE OKUNADE, OSENI TAIWO AMOO

Subjects: “…geographical information system, hydrological model, Nigeria, sediment management, Shiroro dam, watershed…”
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Experimental Solution of Chitosan and Nanochitosan on Wettability in Root Dentine: In Vitro Model Prior Regenerative Endodontics by Fernando Arias Alvarado, Maira Rivero Iriarte, Freddy Jordan Mariño, Sara Quijano-Guauque, León D. Pérez, Yolima Baena, Claudia García-Guerrero

“…Statistical analysis: a linear mixed model, Kruskal–Wallis, and Holm–Bonferroni correction (P < 0.05) were used. …”
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Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China by Siqi Xu, Yifeng Zhang, Xiaodan Chen

“…This paper contributes to the literature by investigating the time-varying predictive ability of 15 macrolevel indicators for China’s carbon dioxide emission from 1982 to 2017 with a dynamic model averaging (DMA) method. The empirical results show that, firstly, the explanatory power of each nonenergy predictor changes significantly with time and no predictor has a stable positive/negative impact on China’s carbon emissions throughout the whole sample period. …”
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Fatigue Strength Evaluation for Remanufacturing Impeller of Centrifugal Compressor Based on Modified Grey Relational Model by Qingchao Sun, Bowen Shi, Xiaokai Mu, Kepeng Sun

“…The multisource strength data, as factor space, primarily include available existing experimental data and operating data, while the strength data of the remanufacturing impeller are taken as target data. The fatigue strength model of material and component are presented to analyze the influence factors of remanufacturing target strength. …”
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Research on Immersion Teaching Method Based on 5G +XR Technology and Reinforcement Learning Model by Xueqing Xie

“…In addition, based on the analysis of XR teaching theory and its significance, an immersive XR teaching design method based on reinforcement learning model was proposed, and the working principle of immersive XR teaching system and the architecture method of teaching space were given. …”
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Correction: Correction: A neural network model for online one-shot storage of pattern sequences. by PLOS One Staff

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A Pilot Study Verifying How the Curve Information Impacts on the Driver Performance with Cognition Model by Xiaohua Zhao, Wei Guan, Xiaoming Liu

“…In this simulator experiment, a principle cognition model was built to examine the rationality of this explanation. …”
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Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator by Lei Wang, Tao Shen, Chen Chen

“…The nonlinear wind turbine system is presented by multiple linear models. The desired trajectory of the nonlinear system is decomposed to be suitable for the reference trajectory of multiple models that are presented by the linear models of the nonlinear system, which simplifies the nonlinear optimization problems and decreases the calculation difficulty. …”
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Steady Glide Dynamic Modeling and Trajectory Optimization for High Lift-to-Drag Ratio Reentry Vehicle by Liang Yang, Wanchun Chen, Xiaoming Liu, Hao Zhou

“…A new steady glide dynamic modeling is formulated via extending a trajectory-oscillation suppressing scheme into the three-dimensional reentry dynamics with a spherical and rotating Earth. …”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm by Tianli Wang, Yi Zhang, Haiyan Liu, Fei Li, Dayong Guo, Ning Cao, Yubin Zhang

“…The combination model comprises predicted P uptake by maize leaves, stems, and grains. …”
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Factors associated with dental care utilization among Iranian adult populations based on Anderson model by Ashkan Negintaji Zardak, Mostafa Amini-Rarani, Ibrahim Abdollahpour, Faezeh Eslamipour, Bahareh Tahani

“…Independent Factors included the contextual, individual enabling, individual predisposing and individual need factors based on the Andersen model. Personal health behaviors were also assessed. …”
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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
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Time-Delayed Feedback Control of a Hydraulic Model Governed by a Diffusive Wave System by Boumediène Chentouf, Nejib Smaoui

“…This paper is concerned with the feedback flow control of an open-channel hydraulic system modeled by a diffusive wave equation with delay. Firstly, we put forward a feedback flow control subject to the action of a constant time delay. …”
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