Optimization of Cementitious Composites Using Response Surface Methodology: Enhancing Strength and Durability with Rice Husk Ash and Steel Fibers by Sandeep Singh, Tarak Vora, Dasarathy A K, Md. Zia Ul Haq, Syed. Mohd. Arif, S Vanitha, Priyadarshi Das, Khaled Shahin, Vishnu Vijay Kumar

“…Emphasizing the integration of Rice Husk Ash (RHA), steel fibers, and various water-cement ratios to generate sustainable and high-performance construction materials, this study focuses on the optimization of cementitious composites utilizing Response Surface Methodology (RSM). …”
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Optimizing the lead time of operational flexibility trading from distributed industrial energy systems in future energy and flexibility markets by Daniel Bull, Adrian Bürger, Markus Bohlayer, Marco Braun, Anke Weidlich

“…Despite its importance, the impact of lead time on flexibility provision cost has not been evaluated in the literature. In this study, we analyze this cost effect of varying lead times on flexibility provision by simulating a 48-hour moving horizon model predictive control for multiple distributed energy systems on a market platform, delivering flexibility under different lead time scenarios. …”
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Comparative study of CO2 capture strategies in optimized MCFC-based power systems: Performance, cost, and environmental perspectives by Navid Kousheshi, Amirali Nouri, Ata Chitsaz, Ali Saberi Mehr

“…Molten carbonate fuel cells (MCFCs) offer an efficient pathway for both power generation and CO2 separation. This study presents a comprehensive technical, economic, and environmental assessment of six optimized MCFC-based power plant configurations, each integrated with different CO2 capture technologies: calcium looping (CaL), cryogenic CO2 capture (CCC), proton exchange membrane electrolyzer-based CO2 capture (PECC), oxygen membrane-based CO2 capture (OMCC), and vanadium chlorine-based CO2 capture (VCC). …”
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Energy, exergy, and advanced exergy analysis of a novel solar-based S-CO2 cycle and comparison of systems with different layouts by Qiujie Cheng, Yunlong Zhou, Mei Yang, Xinrui Han, Jiani Liu

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p-CuGaO2/β-Ga2O3 interfaces: A high-throughput approach for interface prediction and generation for power device applications by Chowdam Venkata Prasad, Jang Hyeok Park, Qui Thanh Hoai Ta, Kyong Jae Kim, Ho Jung Jeon, Muzaffar Ali Mir, Mohsin Raza, Nguyen Ngoc Tri, Honggyun Kim, Madani Labed, You Seung Rim

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Evaluating Translation Quality: A Qualitative and Quantitative Assessment of Machine and LLM-Driven Arabic–English Translations by Tawffeek A. S. Mohammed

“…Using well-established evaluation metrics such as bilingual evaluation understudy (BLEU), translation error rate (TER), and character n-gram F-score (chrF), alongside the qualitative translation quality assessment model proposed by Juliane House, this study investigates the linguistic and semantic nuances of translations generated by different systems. …”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

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Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining by Shoaib Mohammad, M. Wasiq Habib, Ammara Kanwal, Muhammad Asim, Muhammad Farooq, Imran Zahid, Noreen Sher Akbar, Hussein Togun, Fahid Riaz

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Optimal Distributed Dispatch of Smart Multi-Agent Energy Hubs Based on Consensus Algorithm Considering Lossy Communication Network and Uncertainty by Abdelfattah A. Eladl, Magda I. El-Afifi, Magdi M. El-Saadawi, Bishoy E. Sedhom

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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

“…Correlation analysis of the evaluation index is carried out and eight different machine learning techniques are adopted for prediction, including Elman neural network, back propagation neural network, long short-term memory, random forest (RF), support vector machine, bidirectional long short-term memory, Firefly algorithm optimized Elman neural network, and genetic algorithm optimized back propagation neural network (GA-BP). …”
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Optimizing patient education for radioactive iodine therapy and the role of ChatGPT incorporating chain-of-thought technique: ChatGPT questionnaire by Chao-Wei Tsai, Yi-Jing Lin, Jing-Uei Hou, Shih-Chuan Tsai, Pei-Chun Yeh, Chia-Hung Kao

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The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference by Mohammed Alsuhaibani

“…In this article, we present a simple and straightforward approach to evaluate the effectiveness of various transformer-based models such as bidirectional encoder representations from transformers (BERT), Generative Pre-trained Transformer (GPT), robustly optimized BERT approach (RoBERTa), and XLNet in generating sentence embeddings for NLI. …”
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Effect of dough thickness and baking temperatures on the proximate composition of optimized cookies from wheat-white yam flour using response surface methodology by Ibe PC, Agu HO, Ikegwu TM, Ishiwu CN, Emembolu LN

“…The cookies were evaluated for proximate composition using standard methods. …”
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Multi-objective optimization of urban block configuration to enhance outdoor thermal comfort: A case study of district 12, Tehran by Mozhgan Mousaeipour, Haniyeh Sanaieian, Mohsen Faizi, Ainaz Alafchi, S. M. Amin Hosseini

“…To further evaluate the impact of different layouts on thermal comfort indices and microclimatic conditions, the best and worst scenarios were compared using ENVI-met software. …”
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Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…The choice of evaluation metrics and dataset is critical since different tasks require different evaluation parameters, and the model learns more patterns and features from diverse data. …”
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Evaluating the Predictive Accuracy of an AI-Based Tool for Postoperative Vault Estimation in Phakic Intraocular Lens Implantation by Zaldivar R, Zaldivar R, Cummings AB, Cummings BK, Mertens EL, Ang RE, Zarate Piscopo LI, Quintero G, Cerviño A

“…Preoperative biometric parameters and UBM imaging were utilized to generate vault predictions using the AI-based tool. …”
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Preparation, characterization and in vitro evaluation of phosphate-doped bioactive glass nanoparticles as promising candidates for therapeutic applications by Wael M. Aboulthana, Sahar M. Mousa, Gehan T. El-Bassyouni, Esmat M. A. Hamzawy, Amal G. Hussien, M. Eltohamy

“…Abstract This research focuses on synthesizing bioactive glass nanoparticles with different phosphate concentrations to evaluate their physicochemical characteristics and explore their biomedical potential. …”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…These hybridized algorithms were evaluated across different integration phases, including the initialization passes and generation updates phase, and in both phases. …”
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Geny: a genotyping tool for allelic decomposition of killer cell immunoglobulin-like receptor genes by Qinghui Zhou, Mazyar Ghezelji, Ananth Hari, Ananth Hari, Michael K. B. Ford, Connor Holley, S. Cenk Sahinalp, Ibrahim Numanagić

“…However, due to the high variability of the KIR region and high level of sequence similarity among different KIR genes, the generic genotyping workflows are unable to accurately infer copy numbers and complete genotypes of individual KIR genes from next-generation sequencing data. …”
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Optimizing Blockchain Platform Selection: A Decision-Making Approach Using LLMs, Type-2 Neutrosophic Numbers, CRITIC, and MAIRCA by Hend Ahmed, Abduallah Gamal, Ahmed Abdelmouty

“…Helping business sectors that use Bicton, smart contracts, or other BC applications as a comprehensive tool to evaluate and rank optimal BC platforms integrated with LLMs. …”
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