Advancements in Underwater Optical Wireless Communication: Channel Modeling, PAPR Reduction, and Simulations With OFDM by Liwei Yang, Zeyang Bi, Xue Liang, Lihao Zhao, Jiade Zhang, Jingyi Peng

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Research on Slope Stability Based on Bayesian Gaussian Mixture Model and Random Reduction Method by Jingrong He, Tao Deng, Shouxing Peng, Xing Pang, Daochun Wan, Shaojun Zhang, Xiaoqiang Zhang

“…A Bayesian Gaussian Mixture Model (BGMM) is employed for intelligent interpretation of the dissipated energy data, and, combined with energy mutation theory, is used to identify instability states under various reduction parameter combinations. …”
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Network control energy reductions under DMT relate to serotonin receptors, signal diversity, and subjective experience by S. Parker Singleton, Christopher Timmermann, Andrea I. Luppi, Emma Eckernäs, Leor Roseman, Robin L. Carhart-Harris, Amy Kuceyeski

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Speed Control of PMSM drive using Model Predictive Control Based Field Oriented Control by Sri Charan Vanamala, Kiran Kumar Danduprolu

“… This paper examines the enhancement of Permanent Magnet Synchronous Motor (PMSM) drives through the integration of Field-Oriented Control (FOC) with Model Predictive Control (MPC). …”
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Strength Reduction Factor of Steel Frames with Stainless-Steel Braces by Yu Ding, Yan Shi, Hongguo Qin, Xuexin Wang

“…The effects of the displacement ductility factor, site conditions, R-O hysteresis model parameter, and fuse control parameters were statistically analyzed. …”
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Xenon anaesthesia is associated with a reduction in frontal electroencephalogram peak alpha frequency by Steven McGuigan, Andria Pelentritou, David A. Scott, Jamie Sleigh

“…Background: Administration of conventional anaesthetic agents is associated with changes in electroencephalogram (EEG) oscillatory dynamics, including a reduction in the peak alpha frequency. Computational models of neurones can reproduce such phenomena and are valuable tools for investigating their underlying mechanisms. …”
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Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms by Karrar Y. A. Al-bayati, Ali Mahmood, Róbert Szabolcsi

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Greening the Urban Landscape: Smart City Initiatives and Pollution Reduction in China by Quanhui Liu, Paijie Wan

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Threshold effect study on the development of prefabricated buildings for energy conservation and emission reduction in the construction industry by Yuan Qi, Xinyi He, Yuanbin Li, Yufei Jia

“…It employs the super-efficiency slack-based measure (SBM) model to assess the comprehensive energy-saving and emission-reduction efficiency of China’s construction industry. …”
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Policy Coordination Effects of APPCAP and ETS on Pollution and Carbon Reduction by Na Liu, Siyue Yang, Xinwei Gao, Ruirui Yang

“…Coordinated control of pollution and carbon reduction is an imperative choice for China’s overall transition towards sustainability. …”
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STUDY, FORECAST AND CONTROLLED SEISMIC HAZARD REDUCTION IN THE IDENTIFIED SEGMENTS OF THE MAIN FAULTS BY CYCLIC INJECTION OF FLUID THROUGH DEEP MULTI-BRANCH DIRECTIONALLY INCLINED... by V. V. Ruzhich, A. G. Vakhromeev, S. A. Sverkunov, V. M. Ivanishin, R. H. Akchurin, E. A. Levina

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Dual microbial inoculation for tripartite benefits: soybean biomass enhancement, root rot control and chlorothalonil residue reduction by Weiguang Jie, Weiguang Jie, Weiguang Jie, Min Zhang, Min Zhang, Yiwen Tan, Yiwen Tan, Haobo Yang, Wenkai Wang, Wenkai Wang, Lianbao Kan, Lianbao Kan

“…As global agriculture shifts toward an ecological civilization model, microbial fertilizers have emerged as a new strategy to promote plant growth and enhance soil fertility. …”
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Approximate Inertial Manifold-Based Model Reduction and Vibration Suppression for Rigid-Flexible Mechanical Arms by Lisha Xu, Hua Deng, Chong Lin, Yi Zhang

“…Therefore, a model reduction method of rigid-flexible mechanical arms based on the approximate inertial manifold is put forward. …”
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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…In order to explore the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction, the relationship modeling method of deep learning algorithm is proposed. …”
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Evaluation of energy saving and emission reduction technologies in petrochemical industry based on CRITIC-cloud modeling by Shanshan LI, Hongyi ZHOU

“…Technologies such as multi-energy complementary DC microgrid and pump energy-saving group control system technology, and high-efficiency heat exchange technology with porous surface high-flux tubes require should be improved in economic and environmental benefits; The cloud model evaluation shows that the whole energy-saving and emission-reduction technologies in the petrochemical industry reach an "acceptable" level and are gradually towards a "claimable" level. …”
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A User-Centered Theoretical Model for Future Urban Transit Systems by Gerald B. Imbugwa, Tom Gilb, Manuel Mazzara

“…The paper’s primary contribution is its integrated optimization framework integrating carpooling, micro-mobility, and multi-leg routing in dynamic urban conditions, an absent component in prior single-mode or static models. Our scenario-based analysis demonstrates up to 30% travel time and emissions reduction over stand-alone mobility solutions.…”
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Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

“…Simulations of working this regulator for sin and chirp signals shows that the controller causes substantial reduction of the vibrations. …”
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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

“…Estimates the influencing factors of LCE through the geographically and Temporally Weighted Regression model (GTWR). Then, constructs the prediction model for the logistics carbon balance statue based on System Dynamics (SD) structure under four single-factor scenarios and two cross-factor scenarios from 2022 to 2030. …”
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An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants by Gang Chen, Shan Hua, Changhao Fan, Chun Wang, Shuchong Wang, Li Sun

“…This study introduces an Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Control (EEA-ESKF-MPC) method to tackle strong coupling and inertia in supercritical power plants. …”
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An Optimization‐Simulation Method for Low‐Impact‐Development (LID) Facilities Based on CCMO Algorithm Combining an Integrated Finite Volume Coastal Ocean and Drainage Pipe Model... by Fei Liu, Qiming Cheng, Zijian Zeng, Shuyi Wei, Shaochun Yuan, Zhen Liu, Yao Chen

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