Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Us... by Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich, Krischonme Bhumkittipich

“…The multi-objective functions enhance power quality and voltage stability to meet grid code requirements. The proposed method was applied to the IEEE 15-bus system, which is consistent with systems commonly used in remote area communities, under the following scenarios: Case I—random installation of PV-HPP-BESS and PI parameter control of BESS; Case II—optimal location of PV-HP-BESS and PI parameter control of BESS using IPSO; Case III—sudden short circuit of the transmission line in Case II. …”
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SYSTEMATIC ANALYSIS OF PERSPECTIVE TRENDS IN ECOLOGICAL AND BIOLOGICAL STUDIES OF THE CASPIAN SEA by G. M. Abdurakhmanov, A. F. Sokolsky, G. A. Kuanysheva, E. A. Sokolskaya, Yu. M. Brumshteyn

“…Analysis and mathematical processing of published literature sources has convincingly demonstrated the need for international cooperation to optimize the ecological and biological research. …”
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Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments by Ray Colucci, Imad Mahgoub

“…A shift towards renewable energy sources, particularly solar power, is underway, though these sources face challenges due to their inherent intermittency. …”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. …”
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Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…Trained on various ground motions and Nonlinear Time History Analysis (NLTHA) data, the ARNN produces full response histories, unlike prior methods focused solely on peak responses. A Single Degree of Freedom (SDOF) example demonstrates ARNN accuracy, and a four-story base-isolated building is used for a Reliability-Based Design Optimization (RBDO) case study. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…Implemented on a suite of open-source models and trained with publicly available Python corpora, our method proves model-agnostic and lightweight. …”
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Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer by Yiao Zhan, Linwei Wang, Di Zhou

“…The proposed FTOC guidance law employs a nonlinear, non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions, avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods. …”
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The Application of Graph Neural Networks in Power Systems from Perspective of Perception-Prediction-Optimization by Zhuo LI, Yinzhe WANG, Lin YE, Yadi LUO, Xuri SONG, Zhenyu ZHANG

“…Conventional data analysis methods for Euclidean space often exhibit poor performance and low accuracy when representing the topological structures relationship with multi-source heterogeneous and irregular characteristics. …”
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Thrombolytic activity and antibacterial activity optimize staphylokinase enzyme production from Staphylococcus aureus by Bilal Husam Jasim, Rand Jabbar Sattar, Maryam Dhary Kamel, Entesar Hussein Ali, Majid Sakhi Jabir, Maryam Hussein Saddi, Bassam Shaker Mahmood, Zahraa Abbas Fadhil

“…These conditions included a carbon source (glucose), a nitrogen source (yeast extract), an inoculum size of 1%, an incubation temperature of 37 °C, and a pH of 7. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…The proposed method is capable of dynamically integrating and leveraging multi-source sample datasets, effectively addressing the challenges of sample data scarcity, label inconsistencies, and data structure disparities. …”
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Optimization of extraction and enrichment process of cannabidiol from industrial hemp and evaluation of its bioactivity by Junkai Wu, Xiaomeng Zhang, Xiaoqing Liu, Zunlai Sheng, Zunlai Sheng, Jianping Hu, Feiyan Zhang

“…., a perennial dioecious herb renowned for its industrial applications, serves as the source of hemp. Cannabidiol (CBD), a non-psychotropic compound derived from industrial hemp, has garnered considerable interest due to its promising therapeutic potential.MethodsThe extraction parameters for CBD from industrial hemp were optimized using the Box-Behnken design and response surface methodology (RSM). …”
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Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization by Juan Carlos Seck-Tuoh-Mora, Ulises Hernandez-Hurtado, Joselito Medina-Marín, Norberto Hernández-Romero, Liliana Lizárraga-Mendiola

“…The MOMmCAA was implemented in MATLAB and its source code can be consulted in GitHub.…”
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SYNTHESIS AND OPTIMIZATION OF CARBON NANOPARTICLES (C-DOTS) AS ABSORBER MATERIALS FOR SOLAR DISTILLATION APPLICATIONS by B. W. Nuryadin, U. Qulsum, E. C. S. Mahen, A. Y. Nuryantini, H. Aliah, Y. S. Perkasa

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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…Given the unavoidable errors with current technologies, it is essential to adopt modeling methods to determine the optimal TMB-positive threshold. …”
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Biosynthesis of Copper nanoparticles using bacterial supernatant optimized with certain agro-industrial byproducts by Abd-Elhalim, B.T., Gamal, R.F., Abou-Taleb, Kh.A., Haroun, A.A.

“…For the bacterial synthesis of CuNPs, optimization of the P. silesinsis strain A3 cell-free supernatant was carried out using seven agro-industrial residues, added to the basal medium as different carbon sources. …”
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Optimizing infrared drying of black soldier fly larvae for sustainable cricket feed production by Nuntawat Butwong, Sarawut Saenkham, Adisak Pattiya, Anuwat Saenpong, Chinnapat Turakarn, Aphichon Mungchu, Shenghua Hu, Sopa Cansee

“…As global demand for animal-derived protein surges, Black soldier fly larvae emerge as a promising sustainable feed source, particularly for cricket farming. This study investigated the infrared drying of whole larvae, exploring its potential as an efficient alternative to conventional drying methods for producing high-quality cricket feed. …”
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Time Synchronization Techniques in the Modern Smart Grid: A Comprehensive Survey by Yu Liu, Biao Sun, Yuru Wu, Yongxin Zhang, Jiahui Yang, Wen Wang, Naga Lakshmi Thotakura, Qian Liu, Yilu Liu

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Coal pulverization by electric pulse method for water-coal fuel by Б.Р. Нусупбеков, А.К. Хасенов, Д.Ж. Карабекова, У.Б. Нусупбеков, М. Стоев, М.М. Болатбекова

“… In the article describes the electrohydraulic method as a source of high energy concentration for the disintegration of the components of water-coal fuel in an aqueous medium under the action of pulsed discharges. …”
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Stability optimization of dynamic migration algorithm for Post-Copy of virtual machine based on KVM by Shuangxi CHEN, Ruoyan ZHAO, Hui LIU, Chunming WU, Wei RUAN

“…The dynamic migration technology of virtual machine provides a strong support for the resource scheduling of virtualization system.As one of the two core algorithms of virtual machine dynamic migration, Post-Copy algorithm has been a hot issue for scholars at home and abroad for its advantages of stable migration time and short migration downtime.The fault tolerance mechanism of virtual machine, the connection between the transfer mode of memory page and the page missing error during the migration process, and the source code of QEMU-KVM platform were studied.A fault tolerant method based on transaction synchronization was proposed to improve the stability of the Post-Copy migration algorithm.The experimental results show that the proposed algorithm can ensure the fast repair of deep end virtual machine failure, target virtual machine failure and network fault during the migration process, and solve the stability problem at a small cost.The method proposed effectively improves the stability of the Post-Copy migration algorithm, and provides reference for the future optimization research direction.…”
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Optimization of Parameters of a Vertical Ground Heat Exchanger in a Geothermal Heating System by Walery Jezierski, Piotr Rynkowski

“…The parameters of the tested element of the geothermal heating system were also optimized according to the energy criterion using a numerical method in the Matlab environment. …”
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