Carbon Emission Reduction in Traffic Control: A Signal Timing Optimization Method Based on Rainbow DQN by Juan Lv, Zhaowei Wang, Jianxiao Ma

“…A comparison with DQN and D3QN models further demonstrates the superiority of the proposed model, achieving a 15% reduction in average waiting time and a 6.5% reduction in CO₂ emissions. …”
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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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Reduction of Active Power Loss at 110/220 kV Node Substations Using Fuzzy Controller by Krysanov V.N., Burkovsky V.L., Danilov A.D.

“…The results of the simulation of the transformer voltage regulation process, performed in the MatLAB application environment, showed that the implementation of a new fuzzy controller structure had improved the efficiency of the substation power control system in forecasting and management (compared to classical solutions based on regression and probabilistic models). …”
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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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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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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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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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Enhancing industrial maintenance planning: Optimization of human error reduction and spare parts management by Vahideh Bafandegan Emroozi, Mostafa Kazemi, Mahdi Doostparast

“…This paper presents a mathematical model aimed at minimizing costs through optimized preventive maintenance (PM) planning, effective spare parts inventory control, and reduction of human error. …”
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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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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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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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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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TORQUE RIPPLE RATE REDUCTION OF 6/4 SWITCHED RELUCTANCE MOTOR USING SLIDING MODE LEARNING CONTROLS by Zahraa Razaq Mohammed, Abdal-Razak Shehab Hadi

“…The learning sliding mode control with PID has a significant implication for reduction torque ripple rate improvement of about 70% compared to the conventional model. …”
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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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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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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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The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm by Sana Khalid Abd Al Hassan, Firas Mohammed Tuaimah, Yasser Nadhum Abd, Ali Adil Al-Lami

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Driving voluntary reduction of single-use plastic consumption: Capability, opportunity, and motivation by Daisy Lee, Calvin Wan, Sebastian Isbanner, Sharyn Rundle-Thiele, Yi-Ning Fung

“…Results showed that capability and opportunity are associated with SUP tableware reduction behavior, fully mediated by motivation. The model explains 70 % of motivation in SUP tableware reduction. …”
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Research on Dynamic Modelling, Characteristics and Vibration Reduction Application of Hot Rolling Mills Considering the Rolling Process by Zhiwen Lu, Duolong Zhou, Danfeng Yu, Han Xiao

“…Subsequently, the vibration characteristics of the rolling mill system are investigated under typical process parameters utilizing the established dynamic model. The results reveal that the vibration amplitude notably escalates with the increase of rolling reduction rate and rolling speed, and the difference in front and rear tension has little impact on the mill’s vibration. …”
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The impact of mortality salience and explicit self-esteem on plastic reduction intention: A moderated mediation model. by Hsiao-Ling Chiu, Kung-Jeng Wang, Tsang-Hsien Wang

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