Optimizing Ventilation Strategies for Thermal Comfort in Mediterranean Schools: A Dynamic Modeling Approach by Paolo Maria Congedo, Andrea Palmieri, Cristina Baglivo

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Optimization of Simultaneous Delivery and Pickup Wagon Scheme on Hybrid Siding Network of Railway Terminal by Bing Li, Ce Yun, Guanglan Xu, Xiaoqian Zhou, Hua Xuan

“…A novel two-stage hybrid optimization procedure is proposed. Firstly, the three-phase approach composed of coding task sequence, dividing task batch, and generating access order sequence population is developed to generate initial solution. …”
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Simulation of the Power Generation Process of a Solid Oxide Fuel Cell Powered by Green Hydrogen from an Alkaline Water Electrolysis by Pedro C. Dias, Alexander Polasek, Jose G. M. Furtado, Alexandre V. Grillo, Roberto B. de Carvalho, Brunno F. dos Santos

“…Simulations were conducted using Aspen Plus for thermodynamic modeling and Excel for data analysis, exploring different operating temperatures and pressures. Key performance metrics, including polarization curves, power density, and efficiency for the SOFC, and H2 production and voltaic efficiency for the AEW, were evaluated. …”
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Multi-dimensional performance-based intelligent optimization of atrium building prototype with informed approach by Yiquan Zou, Yanyan Li, Han Chen, Benlin Xiao, Zhou Li

“…Furthermore, the ranges for optimal solutions when pursuing different design objectives were analyzed, series of global optimal solutions were identified, and the optimization process was accelerated using machine learning technology. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…We introduce a cutting-edge, GPT-assisted approach to optimizing visual scene retargeting by learning human gaze behaviors. …”
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Optoelectronic optimization of graded-bandgap CdTeSe thin-film solar cells by Faiz Ahmad, Akhlesh Lakhtakia, Peter B Monk

“…Optimization using the differential evolution algorithm indicates that linearly and nonlinearly graded CdTeSe photon-absorbing layers of 3000 nm thickness can deliver an efficiency of 21.79% and 21.22%, respectively, when the selenium-to-tellurium ratio is not allowed to exceed 2/3. …”
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PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences by Benjamin Dubois, Mathieu Delitte, Salomé Lengrand, Claude Bragard, Anne Legrève, Frédéric Debode

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Elucidation of the Electrocatalytic Function of Composite Metal Carbides Co3W3C and Co3Mo3C with Oxygen Reduction and Oxygen Evolution Reactions by Ikki YANAGIMOTO, Masashi WADA, Satoko TAKASE, Toshiyuki TAKIZAWA, Youichi SHIMIZU

“…In this study, we comprehensively evaluated the adsorption behavior of oxygen molecules and surface hydroxyl groups, the charge density difference, and the effects of surface structure and chemical composition on catalytic activity by combining DFT (density functional theory) calculations and instrumental analysis. …”
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Structural optimization and thermal performance analysis of minichannel heat Sinks: A numerical approach by Danzhu Ma, Zihao Shao, Zhuang Li, Weiwei Jian

“…In addition, the entropy generation number of both is always below the critical value of 1. …”
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…The design of this coating is based on the optimization of key parameters, including the thickness distribution and the arrangement of different layers. …”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…To determine Switching Angles (SA), an objective function is generated from the SHE problem. In this paper, the Sunflower based– Butterfly Optimization Algorithm (SF-BOA) is presented as a method for evaluating transcendental nonlinear equations using an MLI in a SHE approaches. …”
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The Impact of High-Speed Rail on High-Quality Economic Development: Evidence from China by Xixi Feng, Jixiao Li, Yadan Liu, Weidong Li

“…The findings reveal that (1) HSR significantly promotes high-quality economic development; (2) with the development of HSR, from 2005 to 2021, China’s high-quality economic development showed an evolutionary trend of overall improvement, with a gradual optimization of spatial patterns; (3) it facilitates high-quality economic development by enhancing capital and labor mobility, strengthening industrial chain resilience, and advancing industrial structure upgrading; (4) high-speed rail development in neighboring regions generates positive spatial spillover effects on local urban economic quality; and (5) the impact of high-speed rail on high-quality economic development exhibits significant heterogeneity across cities with different regions, tiers, scales, and resource endowments. …”
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Antimicrobial strategies of lower respiratory tract infections in immunocompromised patients based on metagenomic next-generation sequencing: a retrospective study by Beibei Meng, Haichao Liu, Qinliang Wu, Lei Qu, Congzheng Mao, Fang Yang, Tianzhou Lan, Juan Fang, Zhenhong Hu, Yao Fang

“…The objective of this study is to evaluate the clinical applicability of metagenomic next-generation sequencing (mNGS) in the diagnosis and management of LRTI, as well as its impact on empirical antibacterial therapy for patients with varying immune statuses. …”
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The Influence of Different Foaming Agents on the Properties and Foaming Mechanisms of Foam Ceramics from Quartz Tailings by Huiyang Gao, Jie Zhang

“…This study used quartz sand tailings and waste glass powder as raw materials to fabricate foam ceramic materials. The effects of different foaming agents (SiC, CaCO₃, and MnO₂) on the phase evolution, microstructure, pore size distribution, and physical properties of the foam ceramics were investigated, and the foaming mechanisms were elucidated. …”
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Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics by Nicolina Sciaraffa, Antonino Gagliano, Luigi Augugliaro, Claudia Coronnello, Claudia Coronnello

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Optimization of the Loess Plateau of the China Ecological Network Pattern Based on a PLUS Model by Xiaoyan Luo, Xun Luo, Xianhua Yang, Jian Wang, Jialing Liao, Yu He, Ye Du, Ye Yang

“…We utilized the PLUS (Patch-generating Land Use Simulation) model to simulate the land use patterns of the Loess Plateau of China under four different development scenarios in 2030, constructed the corresponding ecological network, and evaluated the network structure. …”
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An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest by Xin Xiao, Yi Zou, Jiangcheng Huang, Xuan Luo, Luyi Yang, Meng Li, Pengwu Yang, Xuan Ji, Yungang Li

“…This study proposed an interpretable model that combines Random Forest (RF), Optuna hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal landslide susceptibility evaluation and provide explanations in the northwest region of Yunnan Province in China. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm's convergence. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…Given the basin’s fragile ecological environment, many existing projects fail to generate lasting cumulative effects, limiting their long-term impact. …”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…This study presents a novel approach for object detection and tracking in aerial images using a multi-scale Northern Goshawk Pyramid Generative Adversarial Network (NGPGAN). The research evaluates different algorithms and features to identify people, trees, cars, and buildings in real-world drone videos, addressing challenges in pinpointing specific objects among multiple entities. …”
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