Aeration system optimization for a deep bed dryer for paddy grain using computational fluid analysis and the AHP-TOPSIS method by Diswandi NURBA, Sutrisno S. MARDJAN, Dyah WULANDANI, Leopold O. NELWAN, I Dewa Made SUBRATA

“…This analysis aimed to determine the most optimal aeration system by using computational fluid dynamics (CFD) and the AHP-TOPSIS method. …”
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A Comparative Investigation on Powder Mixed EDM Machining of Steel Alloys with Multi-Objective Optimization Using Fuzzy-TOPSIS Method by Md Nadeem Alam, Mohd Atif Wahid, Raghib Ahsan, Naveen Kumar, Shoaib Sabri

“…The study also employs a multi-optimization technique using the Fuzzy-based TOPSIS method to investigate the cumulative effects of the control parameters on performance indicators, namely Ra, MRR, and TWR. …”
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Non-Destructive Detection Method of Apple Watercore: Optimization Using Optical Property Parameter Inversion and MobileNetV3 by Zihan Chen, Haoyun Wang, Jufei Wang, Huanliang Xu, Ni Mei, Sixu Zhang

“…Current methods for detecting apple watercore are expensive and potentially damaging to the fruit. …”
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Interactive optimization scheduling method for distribution network and charging stations based on fuzzy logic and multi-strategy serial implementation mechanism by Ping Dong, Kunming Sui, Mingbo Liu, Run He, Shiqi Liu, Wu Xie, Sai Zhang

“…Next, the PSO (Particle Swarm Optimization) algorithm is used to minimize the difference between the optimized total load and peak load control targets and the aggregator’s incentive cost, resulting in the optimized charging power of each electric vehicle and the corresponding incentive price. …”
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A quality-by-design optimized LC method for navigating degradation kinetics and quantification of favipiravir in the presence of degradation products and manufacturing impurities by Adel Ehab Ibrahim, Mohamed Farouk, Samy G. Alamir, Baher I. Salman, Tarek S. Belal, Sami El Deeb, Ahmed Al-Harrasi

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Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang, Wende Yan

“…To fill this gap, a reaction molecular dynamics simulation method was used to simulate thermal fluid generation under different temperatures, pressures, and organic mass concentrations. …”
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Aerodynamic Shape Optimization of Wing–Fuselage Intersection for Minimum Interference Drag by Nuno M. B. Matos, André C. Marta

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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

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Turbulence Modeling Technique has Significant Effects on the Optimization of Centrifugal Blood Pumps by Zhigang Pan, Fei-Hong Gao, Peng Wu

“…This study aims at exploring the impacts and cost-effectiveness of different turbulence modeling technique in assisting optimization of blood pumps. 25 pump models based on a centrifugal maglev blood pump were designed considering 6 design variables. …”
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Performance Assessment of an Interconnected Photovoltaic‐Thermal System and Solar Thermal Collector: Parametric Study and Optimization by Maryam Karami, Parisa Heidarnejad

“…Single‐objective and multi‐objective optimization of the system is also investigated using these models.…”
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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…One of them is the problem of finding a rational compromise in multiobjective optimization for a totality of one variable functions. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

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Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization by Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

“…The results demonstrate that PINN-CS achieves superior numerical accuracy and computational efficiency compared to traditional fPINN and Monte Carlo fPINN methods. Furthermore, the extended use to problem areas with irregular geometries and difficult-to-define boundary conditions makes the method immensely practical. …”
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Comparison of different anticoagulation methods in continuous renal replacement therapy for pediatric acute liver failure patients: a retrospective observational study by Jie He, Xinping Zhang

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Dynamic Effects of the Underground Squat Silo during Symmetic Discharging with Different Static Friction Coefficients by JIN Li-bing, ZHANG Jing-jin, WANG Xu, ZHU Dou-dou, LIU Yue-fang

“…The mathematical analysis model of the underground squat silo is constructed using the discrete element method. The effectiveness of the numerical analysis method is verified by comparing the numerical analysis results with the theoretical calculation. …”
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The Effectiveness of Different Optical Correction Methods in Children and Adolescents with Progressive Myopia Based on a Comparative Evaluation of the Accommodation and Axial Lengt... by M. M. Sitka, S. G. Bodrova, N. A. Pozdeyeva

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Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China by Hongjuan Yang, Shaojie Zhang, Kaiheng Hu, Yifan Jia, Xiuying Wang, Jianyang Song, Hua Tian

“…To address this issue, a machine learning-based evaluation was performed to determine optimal factor assignment methods. The analysis indicated that different factor assignment methods generated a maximum difference of 0.0133–0.0198 in the area under the receiver operating characteristic curve and a maximum difference of 2.7%–7.1% in the percentages of historical landslides that fell within high and very high susceptibility zones. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Overview of mechanisms related to citrulline malate supplementation and different methods of high-intensity interval training on sports performance: A narrative review by Hadi Nobari, Laya Samadian, Saber Saedmocheshi, Pablo Prieto-González, Christopher MacDonald

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The Forecasting Yield of Highland Barley and Wheat by Combining a Crop Model with Different Weather Fusion Methods in the Study of the Northeastern Tibetan Plateau by Peng Li, Liang He, Xuetong Wang, Mengfan Zhao, Fan Li, Ning Jin, Ning Yao, Chao Chen, Qi Tian, Bin Chen, Gang Zhao, Qiang Yu

“…This study examines the impact of different weather data forecasting methods on yield estimation. …”
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