Optimized framework for end-around taxiway design: site, efficiency, fuel: a case study at Jinan Yaoqiang airport by Xiaoxi Jiang, Xiaoxi Jiang, Yang Yang

“…End-Around Taxiways (EATs) have been introduced in some international hub airports, but their design and layout remain contentious.MethodsThis research takes Jinan Yaoqiang International Airport as a case to find the best EATs layout, considering site conditions, operational efficiency, and cost-benefit. …”
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Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques by M. Anjaly Shanker, Sandeep Singh Rana

“…Response surface methodology (RSM) is one of the common techniques involved in the optimization of these course factors. It also covers the convention of artificial intelligence-based methods, such as artificial neural networks (ANN) and genetic algorithms (GA), in evaluating the data on process parameters. …”
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A COATING BASED ON CROSS-LINkED POLyDIMETHyLSILOXANE AND NANOPARTICLES WITH DIFFERENT MORFOLOGIES FOR SUPERHyDROPHBIC TEXTILE FABRICATION by V. V. Terekhin

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Multi-Level Dynamic Weight Optimization Scheduling Strategy for Flexible Interconnected Distribution Substations Based on Three-Port SNOPs by Dan Pang, Zhipeng Wang, Xiaomeng Shi, Jinming Ge, Zhenhao Wang, Hongyin Yi, Yan Zhuang, Yu Yin, Wei Wang

“…In order to adapt to the coordinated optimal operation objectives under different overrun levels, an optimal operation strategy considering the dynamic weights of system operation cost, voltage deviation, customer satisfaction, and SNOP regulation capability is proposed and finally simulated and verified using the improved IEEE33 node arithmetic case. …”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. To address these challenges, we propose a novel framework based on Bayesian-Optimized Random Forest Regression (Bayes-RFR) for enhanced LAI estimation. …”
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OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation by Xueting Ren, Surong Chu, Guohua Ji, Zijuan Zhao, Juanjuan Zhao, Yan Qiang, Yangyang Wei, Yan Wang

“…To address these issues, we propose an Optimized Multi-Scale Feature Fusion learning framework, OMSF2, which includes the following components: (1) Data specificity augmentation module is introduced to capture intrinsic data representations and introduce diversity by learning morphological variations and lesion locations. (2) Multi-scale feature learning module is utilized that refines micro-feature localization guided by heatmaps, enabling full extraction of multi-directional features of subtle diffuse targets. (3) Multi-scale feature fusion module is employed that facilitates the fusion of high-level and low-level features to better understand subtle differences between disease stages. …”
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The Optimization of Sulphide Oxidizing Bacteria (SOB) for Oil Corrosivity Reduction at Indramayu Coast, The Northern Coastal Area of West Java by Yudi Nurul Ihsan, Kalysta Fellatami, Rega Permana, Jiang Mingguo, Tri Dewi Kusumaningrum Pribadi

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Resilience evolution and optimization strategies of ecological networks in the Three Gorges Reservoir Area: A scenario-based simulation approach by Haohua Wang, Lulu Zhou, Kangchuan Su, Yun Zhou, Qingyuan Yang

“…This study establishes an EN evaluation framework for regions with complex human-land relationships, contributing by: (1) providing empirical evidence for ecological governance and sustainable development in the TGRA; (2) offering a scientific reference for optimizing ecological security patterns; (3) developing dynamic assessment methods with transferable value, thereby providing methodological guidance for EN construction and resilience assessment in similar regions.…”
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Valorization of Biochar as a Reinforcement Agent in Polyethylene Terephthalate Glycol for Additive Manufacturing: A Comprehensive Content Optimization Course by Nikolaos Bolanakis, Emmanuel Maravelakis, Vassilis Papadakis, Dimitrios Kalderis, Nikolaos Michailidis, Apostolos Argyros, Nikolaos Mountakis, Markos Petousis, Nectarios Vidakis

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The joint use of ABC/VEN analysis and the Beers criteria for optimizing expenditure of funds and rational prescribing of medications to elderly patients by O. A. Makhmudova, G. F. Avkhadieva, O. G. Bagdanova, V. N. Khaziakhmetova

“…Objective: to conduct a pharmacoeconomic evaluation of the rationality of prescribing medications and to analyze the frequency of prescribing potentially inappropriate medications to patients over 65 years old using the example of additional preferential drug provision.Material and methods. The analysis was based on registers of medications dispensed within the framework of additional drug provision over 2019–2021 period. …”
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Effects of different curcumin concentrations on human periodontal ligament fibroblast adhesion and proliferation on periodontally involved root surfaces: In-vitro study by Amina Fouad Farag, Hala H. Yassin, Ahmed Y. Gamal, Noorhan El Badawi, Mahetab M. Abdalwahab

“…Objectives: This study was conducted to evaluate the effect of 0.12 %, 1 % and 2 % curcumin concentrations on PDL cell adhesion, viability and proliferation to periodontally affected root surfaces. Materials and methods: 20 periodontally affected teeth sectioned into root samples were included. …”
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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…The heat flow meter method was employed to verify its accuracy. Furthermore, correlation analysis was conducted on various testing parameters across different building cases and temperature-difference ranges. …”
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Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers by Jingxu Ye, Daikui Li, Qi Liu, Jianying Song, Jiawei Song, Zhigang Zu, Yujun Yi

“…Further, factor integration was performed using projection pursuit optimized by PSA, combined with BRT. Based on the dimension-reduced environmental differences, nutrient resources, and zooplankton, a path analysis model was constructed to determine top-down and bottom-up effects on phytoplankton community assembly. …”
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Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects by Zhiyuan Wu, Haizheng Wang, Guohua Fang, Jian Ye, David Z. Zhu, Xianfeng Huang

“…A case study on the Yalong River Basin hydro-wind-photovoltaic system shows that the proposed framework enhances generation benefits by 2.79% over traditional methods and reduces the power shortage rate by 43.19%. …”
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Multi-scenario simulation of land use optimization based on ecosystem services and ecological security patterns in the Liaohe River Basin by Qing Luo, Jing Zhang, Yajing Bao, Yilin Zhang, Jie Yu, Jiaxin Li, Xunwen Wu, Shuai Zhang, Nan Cao, Dongli Wang

“…Understanding the complex interactions among ecosystem services and identifying their spatial drivers are critical for developing adaptive land use strategies and improving ecological security, particularly in ecologically sensitive basins like the Liaohe River Basin (LRB).MethodsTherefore, this study proposed an integrated framework combining the InVEST model, Geographical Detector, and PLUS model to evaluate ecological service dynamics and optimize spatial governance in the LRB. …”
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A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and sizing in power distribution systems by Binaya Kumar Malika, Vivekananda Pattanaik, Subhasis Panda, Binod Kumar Sahu, Pravat Kumar Rout, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…The results demonstrate the superiority of the proposed approach in terms of faster convergence, reduced complexity, and improved performance compared to existing optimization methods. The QOFBI algorithm achieves a 94.44% reduction in active power loss, highlighting its robust performance across different operational scenarios. …”
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Comparative long-term stabilization of pond ash using lime and cement: FTIR characterization, strength optimization and sustainable utilization by Vilasini P.P, Lakshmi Thangasamy

“…The large-scale generation of pond ash as a byproduct of coal combustion in thermal power plants presents a growing environmental and geotechnical challenge, particularly in countries like India where wet disposal methods occupy vast land areas and pose risks of groundwater contamination. …”
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Spatial prediction and visualization of PM2.5 susceptibility using machine learning optimization in a virtual reality environment by Seyed Vahid Razavi-Termeh, Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, X. Angela Yao, Soo-Mi Choi

“…Particulate Matter (PM2.5)-based air pollution is a severe menace to health and the environment worldwide. Traditional methods for predicting and mapping PM2.5 are usually lagging due to the complexity and nonlinearity between different participating parameters. …”
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Pilot optimization trial of a sexual and reproductive health program for Latina teens and their female caregivers: A study protocol by Katherine G. Merrill, Jacqueline Silva, Wendy Chu, Gisel Romero, Vanessa Melgoza, Blanca Gabino, Corin Mora, Sara Vargas, Jacqueline Fuentes, Caitlin Kelleher-Montero, Nicholle Courrejolles, Kate Guastaferro, Felicia Scott-Wellington, Susana Salgado, Angela Sedeño

“…., mothers, sisters), delivered by trained staff at community partner organizations (CPOs). Methods: This protocol describes a hybrid type 2 mixed-methods study with a pilot 23 factorial experimental design which draws on the multiphase optimization strategy (MOST) framework. …”
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Study on the coupled coordination of water resources consumption and economic development in Heilongjiang province under different scenarios based on SD model by Meiyun Tao, Youzhu Zhao, Qiuxiang Jiang, Zilong Wang, Baohan Li

“…Next, the Logarithmic Mean Divisia Index (LMDI) model and shock detection method were applied to identify and quantify the driving factors of WF. …”
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