Effectiveness of legislative actions against tobacco smoking regarding the reduction of in-hospital morbidity of angina pectoris and myocardial infarction in Russia as a whole and... by M. G. Gambaryan, A. V. Kontsevaya, T. A. Agishina, O. M. Drapkina

“…We analyzed the relationship between the TC law measures implementation scores and RR of hospital admissions reductions for angina and MI after the TC law by means of Spearman’s rank correlation (coefficient with 95% CI) and linear regression models. …”
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The role of bariatric surgery in hypertension control: a systematic review and meta-analysis with extended benefits on metabolic factors by Parham Dastjerdi, Seyed Morteza Pourfaraji, Hedieh Shayesteh, Milad Maghsoudi, Sahar Saeidi, Delaram Narimani Davani, Mohammad Mahdi Masouri, Peyvand Parhizkar Roudsari, Fatemeh Ojaghi Shirmard, Pouya Ebrahimi, Mashood Ahmad Farooqi, Kaveh Hosseini, Hamidreza Soleimani

“…Data were synthesized using a random-effects model, with heterogeneity and publication bias assessed. …”
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Research on Noise Control of Monitoring Room in Track Engineering Vehicle by FU Liang, ZHA Guotao, YAN Meng, HE Caichun, GUO Fulin

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Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control by Guocheng Song, Qiuwei Wu, Wenshu Jiao, Lina Lu

“…To address these challenges, this paper proposes a double-time-scale distributed voltage control strategy for ADNs based on robust model predictive control (RMPC), which considers the coordination between multiple voltage regulation devices. …”
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Research on Real-Time Control Strategy of Air-Conditioning Water System Based on Model Predictive Control by Dehan Liu, Jing Zhao, Yibing Wu, Zhe Tian

“…The optimization of the operation strategy for building HVAC systems is the key to achieving energy conservation and consumption reduction in air-conditioning systems. This study proposes an online real-time control strategy for the air-conditioning water system based on the model predictive control (MPC) principle, implemented and validated on the integrated energy experimental platform. …”
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Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges by Lianpeng Zhang, Yuan Liu, Tailai Yang, Ruichen Wang, Jie Feng, David Crosbee

“…A modified three-variable controller is introduced to optimise load response, while a multi-state observer control strategy effectively reduces vibrations and improves traffic smoothness. …”
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Equilibrium Control in Uncertain Linear Quadratic Differential Games with V-Jumps and State Delays: A Case Study on Carbon Emission Reduction by Zhifu Jia

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A Model Predictive Control Strategy with Minimum Model Error Kalman Filter Observer for HMEV-AS by Ying Zhou, Chenlai Liu, Zhongxing Li, Yi Yu

“…In hub-motor electric vehicles (HMEVs), performance is adversely affected by the mechanical-electromagnetic coupling effect arising from deformations of the air gap in the Permanent Magnet Brushless Direct Current Motor (PM BLDC), which are exacerbated by varying road conditions. In this paper, a Model Predictive Control (MPC) strategy for HMEVs equipped with air suspension (AS) is introduced to enhance ride comfort. …”
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Observed reductions in Schistosoma mansoni transmission from large-scale administration of praziquantel in Uganda: a mathematical modelling study. by Michael D French, Thomas S Churcher, Manoj Gambhir, Alan Fenwick, Joanne P Webster, Narcis B Kabatereine, Maria-Gloria Basáñez

“…In this study, a mathematical modelling approach was used to estimate reductions in the rate of Schistosoma mansoni reinfection following annual mass drug administration (MDA) with praziquantel in Uganda over four years (2003-2006). …”
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Empirical Reduced-Order Modeling for Boundary Feedback Flow Control by Seddik M. Djouadi, R. Chris Camphouse, James H. Myatt

“…This paper deals with the practical and theoretical implications of model reduction for aerodynamic flow-based control problems. …”
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A Mathematical Model for Effective Control and Possible Eradication of Malaria by Agnes Adom-Konadu, Ernest Yankson, Samuel M. Naandam, Duah Dwomoh

“…In this paper, a deterministic mathematical model for the transmission and control of malaria is formulated. …”
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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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A Multi-Point Moment Matching Approach with Frequency-Aware ROM-Based Criteria for RLCk Model Order Reduction by Dimitrios Garyfallou, Christos Giamouzis, Nestor Evmorfopoulos

“…Model order reduction (MOR) is crucial for efficiently simulating large-scale RLCk models extracted from modern integrated circuits. …”
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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

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Reduction of orexin-expressing neurons and a unique sleep phenotype in the Tg-SwDI mouse model of Alzheimer’s disease by Yan Wu, Narayan R. Bhat, Meng Liu

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Modelling of vibration and noise control of a submerged circular plate by Jerzy Wiciak

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MATHEMATICAL MODELLING OF SMOKING BEHAVIOR: TREATMENT AND PREVENTION OPTIMAL CONTROL by Ananda Noersena, Fatmawati Fatmawati, Cicik Alfiniyah, Afeez Abidemi

“…The smoking model without control has two basic reproduction numbers for tobacco smokers and e-cigarette smokers,  and . …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…ABSTRACT Tuberculosis (TB) remains a significant global health challenge, claiming over 2 million lives annually, predominantly among adults. Existing TB models often neglect seasonal variations, optimal control, and reinfection, limiting their accuracy in predicting disease dynamics. …”
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Influence of model selection on optimal control of traffic for emissions minimisation by Khatun E Zannat, Judith Y T Wang, David P Watling

“…These results highlight that while certain traffic control strategies appeared less effective, revisiting and critically examining the limitations of the models is essential to ensure robust and tailored solutions for emission reduction.…”
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Reduction of Cystatin B results in increased cathepsin B activity in disomic but not Trisomy 21 human cellular and mouse models. by Yixing Wu, Karen Cleverley, Frances K Wiseman

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