Temporal and Spatial Evolution and Driving Force Analysis of Water Conservation Function in Yunnan Province Based on Climate and Land Use Change by LIU Fengru, ZHAO Junsan, LIN Yilin, CHEN Guoping, ZHANG Longjiang, PENG Sufen

“…The main driving factors of temporal and spatial changes in water conservation in Yunnan Province were identified by using the optimal parameter geodetector. [Results] (1) From 2000 to 2030, the total area of cultivated land and unused land decreased, the area of water area and construction land increased gradually, and the forest land and grassland changed in a wavy line; The trend of land use change in different scenarios is roughly the same, namely: grassland > construction land > cultivated land > unused land > water area > forest land. (2) From 2000 to 2020, water conservation showed a gradually decreasing trend, decreasing by 2.27×109m3; Under the influence of different climate and land use models, the water conservation under different scenarios is different, and the water conservation under the SSP2-4.5 scenario is the highest, which is 9.338×109m3. …”
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On the Issue of Optimizing Surgical Tactics and Blood-Saving Techniques in Case of Placenta Ingrowth Into the Uterine Scar by Z. D. Karimov, B. S. Abdikulov

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Unlocking the potential of titanium dioxide nanoparticles: an insight into green synthesis, optimizations, characterizations, and multifunctional applications by Ahmed Ghareeb, Amr Fouda, Rania M. Kishk, Waleed M. El Kazzaz

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A NEW METHOD TO ASSESS FUNCTIONAL ACTIVITY OF SERUM COMPLEMENT SYSTEM by E. G. Cheremnykh, P. A. Ivanov, M. I. Faktor, N. S. Karpova, E. F. Vasiljeva, K. V. Gusev, O. S. Brusov

“…In the course of this study, we have tested different concentrations of Ca++ and Mg++ ions in the incubation buffer, with optimal physiological concentrations of2.5 mMand1.5 mM, respectively. …”
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Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…In the mathematical model, simulations of models with passive and active suspension systems were carried out and system accuracy was confirmed. Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution by Nawal Shaltout, Ahmed A.Abd El-Latif, Waleed M. Al-Adrousy, Samir Elmougy

“…The proposed encryption method depends mainly on four steps: sequence generation, diffusion, confusion, and optimization. …”
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Tracing the root of the evil in the carbon footprint of tomato production: Implications for optimization process and policy formulation by Theodoros Markopoulos, Dimitrios N. Kaziolas, Christos Staboulis

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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

“…This study investigates the use of automated machine learning to forecast the demand of electrical loads. A stochastic optimization algorithm minimizes the cost and risk of the traded asset across different markets using a generic framework for trading activities of load portfolios. …”
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An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…Experimental results show that this method surpasses the compared optimization methods regarding both optimization capability and optimization efficiency.…”
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Enhancing Underground Thermal Environments in Cairo: The Role of Subway Entrance Geometry in Optimizing Natural Ventilation by Omar Mohamed Abdelaziz, Xu Cui, Xiaozheng Sun

“…The primary objective is to identify optimal entrance configurations that maximize natural airflow, thereby improving passenger comfort and reducing energy consumption. …”
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A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm by Mohammad Parpaei, Hossein Askarian-Abyaneh, Farzad Razavi

“…In addition, the performance of the proposed method was compared with different fault location methods. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization by Zhenqing Wu, Wenwu Gong, Ziying Yu, Liuxin Zhu, Lili Yang

“…By merging the 1/k-ensemble and replica exchange methods, this algorithm effectively escapes local traps in Monte Carlo simulation and non-convex optimization. …”
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Time-Dependent Multi-Center Semi-Open Heterogeneous Fleet Path Optimization and Charging Strategy by Tingxin Wen, Haoting Meng

“…The self-organizing mapping network method is employed to initialize the EV routing, and an improved adaptive large neighborhood search (IALNS) algorithm is developed to solve the optimization problem. …”
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Policy-aware Optimization-based Modeling of Autonomous Vehicles’ Longitudinal Driving Behavior by Hashmatullah Sadid, Constantinos Antoniou

“…The methodological framework consists of an optimization module and a simulation environment. The differential evolution (DE) method is employed within the optimization module to identify the optimized values of the CF parameters. …”
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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

“…Assuming the causes of MVs could be different in different regions, we then investigated the optimal imputation method in each bin, using normalized root mean square error (NRMSE), and found that the optimal imputation method varies across bins. …”
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Fast Phase Estimation Approach for Distributed Scatterer Based on Power Method by Chuanguang Zhu, Yangqi Gao, Liya Zhang, Mengguang Liao, Wenhao Wu

“…The eigenvalue decomposition (EVD) methods benefit from highly optimized eigen-decomposition libraries and therefore have a higher computational efficiency. …”
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MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

“…The framework consists of three key components: 1) a Dynamic Adaptive Diffusion Sampling (DADS) strategy that adjusts sampling steps based on image complexity, 2) a Multi-scale Contextual Attention Transformer (MCAT) network that captures features at different scales with attention mechanisms, and 3) a Multi-scale Dynamic Structure-Preserving (MDSP) loss that preserves image structure while optimizing perceptual quality. …”
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Use of turbidimetry for determination of heat treatment intensity applied at pasteurization of milk by D. S. Myagkonosov, E. V. Topnikova, D. V. Abramov, O. G. Kashnikova

“…For this reason, there are many ways to measure this parameter, which are based on different physical principles, including turbidimetric methods. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…A systematic comparison of different optimization methods was conducted using ten-fold cross-validation, and the results were based on 314 compressive strength test samples and 293 splitting tensile strength test samples. …”
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Joint feature representation optimization and anti-occlusion for robust multi-vessel tracking in inland waterways by Shenjie Zou, Jin Liu, Xiliang Zhang, Zhongdai Wu, Jing Liu, Bing Han

“…Experimental results demonstrate that our VSATrack method outperforms the state-of-the-art methods, particularly in reducing the number of vessel ID switches (IDSW).…”
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