Design and Testing of a Tractor Automatic Navigation System Based on Dynamic Path Search and a Fuzzy Stanley Model by Bingbo Cui, Xinyu Cui, Xinhua Wei, Yongyun Zhu, Zhen Ma, Yan Zhao, Yufei Liu

“…Finally, the gain coefficient of the Stanley model (SM) was adjusted adaptively according to the tracking error by utilizing the fuzzy logic controller. …”
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In vivo reduction of biofilm seeded on orthopaedic implants: safety and efficacy of portable electromagnetic induction heating by Enrique Cordero García-Galán, Marina Medel-Plaza, José J. Pozo-Kreilinger, Héctor Sarnago, Óscar Lucía, Alicia Rico-Nieto, Jaime Esteban, Enrique Gomez-Barrena

“…Conclusion: Induction heating was not associated with any demonstrable thermal bone necrosis in our rabbit knee model, and might reduce bacterial load in S. aureus biofilms on Ti6Al4V implants. …”
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Achieving sustainable green agriculture: analyze the enabling role of data elements in agricultural carbon reduction by Lidong Shi, Jiahui Zhao, Xinyi Du, Yuntao Tan, Ting Lei, Ming Xu, Ming Xu, Yang Shen

“…This paper explores the relationship between data elements (DE) and agricultural carbon emissions (ACE), which is an important manifestation of achieving green emission reduction and sustainable agricultural development in agriculture.MethodsBased on the empirical data of 30 provinces in China from 2012 to 2022, this paper evaluated the influence between the two by using the fixed effects model and the mediating effects model, and explored the heterogeneous effects in geographical location and grain production areas.ResultsFirst, data elements have a significant inhibitory effect on agricultural carbon emissions. …”
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Soft back exosuit controlled by neuro-mechanical modeling provides adaptive assistance while lifting unknown loads and reduces lumbosacral compression forces by Alejandro Moya-Esteban, Mohamed Irfan Refai, Saivimal Sridar, Herman van der Kooij, Massimo Sartori

“…Here, we developed a novel neuro-mechanical model-based controller (NMBC) that uses a personalized electromyography (EMG)-driven musculoskeletal (MSK) model to estimate lumbosacral joint loading. …”
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Community-based participatory process evaluation based on the Reach, Quality Control, Fidelity, Satisfaction, and Management (RQFSM) model in Nevada: A study protocol by Asma Awan, Manoj Sharma

“…The participatory process evaluation based on the Reach, Quality Control, Fidelity, Satisfaction, Management (RQFSM) Model has been planned with 25 partner organizations that deliver public health services within Nevada. …”
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Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry by Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres

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A Neural Network-Based Model Predictive Control for a Grid-Connected Photovoltaic–Battery System with Vehicle-to-Grid and Grid-to-Vehicle Operations by Ossama Dankar, Mohamad Tarnini, Abdallah El Ghaly, Nazih Moubayed, Khaled Chahine

“…This paper presents a novel neural network-based model predictive control (NN-MPC) approach for optimizing energy management in a grid-connected PV–battery–EV system. …”
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Reduction of WDR81 impairs autophagic clearance of aggregated proteins and cell viability in neurodegenerative phenotypes. by Xuezhao Liu, Limin Yin, Tianyou Li, Lingxi Lin, Jie Zhang, Yang Li

“…Autophagic clearance of aggregated proteins is critical to protein quality control, but the underlying mechanisms are still poorly understood. …”
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Early reduction of skin potassium without sodium accumulation in the pathogenesis of salt sensitivity in primary aldosteronism by Petr Mlejnek, František Liška, František Liška, Jan Šilhavý, Kateřina Večerková, Kateřina Večerková, Miroslava Šimáková, Michal Pravenec, Michal Pravenec, Theodore W. Kurtz

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Monitoring of torrent control structures: An integrated approach from first‐level inspections to maintenance strategies by Alessio Cislaghi, Emanuele Morlotti, Sara Cucchiaro, Paola Morando, Gian Battista Bischetti

“…The further step is to predict the vulnerability of the inspected torrent control structures; so, the Markov chain model is implemented for forecasting their service life, also in function of different maintenance strategies. …”
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Path Planning and Motion Control of Robot Dog Through Rough Terrain Based on Vision Navigation by Tianxiang Chen, Yipeng Huangfu, Sutthiphong Srigrarom, Boo Cheong Khoo

“…Part one of this paper presents the integration of a sophisticated multi-level dynamic control framework, utilizing Model Predictive Control (MPC) and Whole-Body Control (WBC) from MIT Cheetah. …”
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Determinants of Rotavirus Vaccine Acceptance in an Area of Southern Italy with Low Vaccination Coverage: A Case-Control Study by the Health Belief Model Questionnaire by Davide Anzà, Massimiliano Esposito, Giorgio Bertolazzi, Alessandra Fallucca, Carlo Genovese, Gabriele Maniscalco, Andrea D. Praticò, Tiziana Scarpaci, Ermanno Vitale, Vincenzo Restivo

“…Safety concerns and insufficient parental awareness are major barriers to RVV acceptance. Methods: This case-control study was conducted in Southern Italy to identify factors influencing parental acceptance of RVV. …”
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Ozone (O₃) observations in Saxony, Germany, for 1997–2020: trends, modelling and implications for O₃ control by Y. Wang, D. van Pinxteren, A. Tilgner, E. H. Hoffmann, M. Hell, S. Bastian, H. Herrmann

“…</p> <p>To diagnose O<span class="inline-formula">₃</span> formation and the controlling effects of NO<span class="inline-formula">_<i>x</i></span> and volatile organic compounds (VOCs) over the past decades in this region, for the first time, detailed photochemical box modelling was performed by means of the complex MCM (Master Chemical Mechanism). …”
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Optical Response Tailoring via Morphosynthesis of Ag@Au Nanoparticles by David Oswaldo Romero-Quitl, Siva Kumar Krishnan, Martha Alicia Palomino-Ovando, Orlando Hernández-Cristobal, José Concepción Torres-Guzmán, Jesús Eduardo Lugo, Miller Toledo-Solano

“…We present a simple method for customizing the optical characteristics of gold-core, silver-shell (Au@Ag) nanoparticles through controlled morphosynthesis via a seed-mediated chemical reduction approach. …”
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Correlates and effects of information, motivation and behavioral skills on primary sexual abstinence among female university students in Ethiopia: a cross-sectional study by Banti Negero Feyisa, Gurmessa Tura Debelew, Zewdie Birhanu Koricha

“…The information-motivation-behavioral (IMB) skills model is useful for understanding risky and safe sexual behavior. …”
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Preschool age participation in mass drug administration: Analyzing the impact on community-wide schistosomiasis control by John R. Ellis, Roy M. Anderson

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Prediction of heterogeneous nucleation condensation effect on the surface of respiratory coal dust and test of dust reduction test by Hanyi LIN, Liang YUAN, Bingyou JIANG, Yuqian ZHANG, Yifan WANG, Haoyu WANG

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Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control by Ricardo Felez, Jesus Felez

“…Employing model predictive control (MPC) and integrating real-time data on energy prices, weather conditions, and consumption patterns, the system minimizes energy costs, while maintaining indoor thermal comfort. …”
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A Ripple Reduction Technique for Single Stage Switched Capacitor Converter in Ultra Low-Power Applications by Rakshit Dambe Nayak, Shashank Alevoor, Bhushan Talele, Bin Shao, Bertan Bakkaloglu

“…Coarse ripple reduction control is implemented by modulating the flying-capacitance, whereas fine ripple reduction control is implemented by modulating the switch on-resistance. …”
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Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction by ZHOU Yan-lai, NING Zhi-hao, HE Jun-tao

“…The NSGA-Ⅱ optimization solutions significantly improv the long-term average power generation and storage rate while reducing greenhouse gas emissions without compromising flood control standards. Scheduling analyses for both wet (2020) and dry (2022) years demonstrate that the proposed model is well-suited to different hydrological scenarios, achieving a balance between carbon reduction goals and traditional reservoir functions such as flood control, storage, power generation, and drought resistance. …”
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