Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

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Intelligent transportation systems: prospects, effectiveness, and challenges by Arseniy A. Efimov, Kseniya S. Medvedeva

“…ITS, as a set of technologies and methods aimed at optimizing transport processes, can significantly improve the efficiency of transport systems, improve road safety and reduce the negative impact on the environment. …”
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Layer-by-Layer Engineering of Black Seed Oil Based SNEDDSs (BSO-SNEDDSs): Optimizing Chemical Stability and Bioavailability in Ramipril Formulations by Shahba AAW, Sherif AY, Elzayat EM, Ali S, Kazi M

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Lipase production from Bacillus safensis VC-6 isolated from the volcanic region of Copahue: optimization and functional genomic insights by Valeria Foronda, Valeria Foronda, Valeria Castellanos, Claudia Hoepfner, Claudia Hoepfner, Daniel Guzmán, Héctor Guzmán, Jerry L. Solis

“…Lipase production from various microorganisms is well-studied. However, optimization studies remain limited for lipases sourced from halotolerant bacteria, such as Bacillus safensis strain VC-6, known to grow above 10% (w/v) NaCl and 50°C. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

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A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

“…The paper describes the formulation of the problem, highlighting the existing problems that need to be resolved, developed and validated a suitable numerical method. It uses the theoretical bases and methods of functional analysis, computational mathematics, theory of solution of incorrectly formulated problems of the theory of calculus of variations and optimization methods. …”
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Location Allocation of Biorefineries for a Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and Emissions by Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati

“…Moreover, imposing emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental costs. …”
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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

“…The hyper-parameters of the models are adjusted using the Bayesian Optimization (BO) method. The performance of monthly hydroelectric power prediction models is assessed using metrics such as correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). …”
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Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

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Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study by Jocelyne Arquembourg, Philippe Glaser, France Roblot, Isabelle Metzler, Mélanie Gallant-Dewavrin, Hugues Feutze Nanguem, Adel Mebarki, Paméla Voillot, Stéphane Schück

“…Social media studies constitute a complementary source of evidence that could be used to optimize messages to the public about appropriate use of antibiotics.…”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Then, the microgrid optimization operation technologies are analyzed in detail, including energy management optimization algorithms for efficient use of energy and cost reduction. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…Particularly， tail risks triggered by extreme weather and the dynamic mismatches between stochastic RE fluctuations and conventional unit regulation rates invalidate conventional deterministic scheduling models reliant on typical scenarios. [Methods] To address this， this paper first constructs RE generation scenarios using Latin hypercube sampling （LHS） and modified k-means clustering， verifying their reserve feasibility， while transforming reserve-infeasible scenarios into extreme scenario sets. …”
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Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework by Sani Ega Priani, Taufik Muhammad Fakih, Gofarana Wilar, Anis Yohana Chaerunisaa, Iyan Sopyan

“…This narrative review provides an in-depth analysis of Quality by Design (QbD), Design of Experiment (DoE), and in silico approach applications in SNEDDS development. <b>Methods</b>: The review is based on publications from 2020 to 2025, sourced from reputable scientific databases (Pubmed, Science direct, Taylor and francis, and Scopus). …”
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Isolation and identification of Alcaligenes faecalis W2-3 with high-yield production of dimethyl disulfide by Pingle Wu, Shuaijun Deng, Jian Li, Xiaodi Wei, Rong Zheng, Xiao Men, Haibo Zhang

“…Through single-factor experimental methods, an initial pH of 7 and temperature ranging from 19.5 to 30 °C were demonstrated to be the optimal fermentation conditions for DMDS production. …”
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How High Efficiency of the Chilean stock Market Does Impact on Energy Transition? Research Using Deep seek AI Optimization by A. Yu. Mikhaylov, N. B. A. Yousif, J. An

“…The methodology is based on the Kramer-von Mises method and market performance assessment tests using Deep Seek AI optimization. …”
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Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. …”
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Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

“…This study proposes a two-stage distributionally robust optimization (DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…ObjectiveThis study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios—medication consultation, medication education, prescription review, and case analysis with pharmaceutical care—using a multidimensional framework. MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric recognition. …”
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