CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study by Jing Li, Zhenxing Yang, Zhenting Sun, Lei Zhao, Aishi Liu, Xing Wang, Qiyu Jin, Guoyu Zhang

“…The ROC curve shows the highest AUC for the vessel shifting length, with an optimal cut-off of 0.85 mm. Conclusion CT-FFR measurements vary among software from different manufacturers, leading to potential misclassification of qualitative diagnostics. …”
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Optimizing Performance in Badminton Tournaments: The Relationship Between Timing, Quantity, and Quality Among Professional Players by Jen-Hao Hsu, Hsin-Lun Lin, Hung-Chieh Fan Chiang, Duan-Shin Lee, Yang Lee, Cheng-Wei Huang, Zai-Fu Yao

“…This study examines how players plan their tournament participation and whether their scheduling strategies affect their rankings and performance, especially during Olympic and non-Olympic years. <b>Methods:</b> Data were extracted from the Badminton World Federation (BWF) ranking system for the top 50 men’s and women’s singles players from May 2014 to May 2019. …”
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Optimizing antithrombotic therapy following mitral valve repair: a comprehensive network meta-analysis by Mohamed Ibrahim Gbreel, Mohamed Hamouda Elkasaby, Marwa Hassan, Marc Ulrich Becher, Mahmoud Balata

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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

“…This paper used orthogonal experiments and multi factor optimization methods to study the optimal mixing ratio of similar materials for limestone surrounding rock in a goaf of a certain iron mine in Yunnan, and introduced a new material combination (quartz, cement, gypsum, barite, and glycerol), and utilized orthogonal experiments alongside machine learning techniques for predictive analysis. …”
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Optimization of heat transfer coefficient in green roof modules based on life cycle carbon emissions by Dengguo Wu, Zhengwen Wang, Jian Yang, Xiaojia Liu, Tao Wang

“…Using IPCC guidelines, assimilation methods, and life cycle assessment (LCA) techniques, models for calculating heat transfer and carbon emissions at each stage of the life cycle are developed, and to explore the relationship between these two factors. …”
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Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration by M.D. Mukelabai, E.R. Barbour, R.E. Blanchard

“…Best practices for creating load profiles in regions like the Global South are discussed, along with an evaluation of AI-based and traditional optimization methods and software tools. Finally, a new evidence-based multi-criteria decision-making framework integrated with machine learning insights, is proposed to guide decision-makers in selecting optimal solutions based on multiple attributes, offering a more comprehensive and adaptive approach to renewable hydrogen system optimization.…”
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Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization by Yihan Zhang, Chaoyue Wu, Qiao Su, Yuqi Zhang, Daoyi Chen

“…This network, built upon a custom-designed mini-ResNet dual-level classification network and trained on MODIS HDF-format sensor data, demonstrates that the dataset is particularly suited for detecting Kármán vortex streets in cloudy conditions. Different types of advanced algorithms were applied on the dataset, yielding baseline performance metrics and potential detection methods. …”
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Optimization of New Energy Storage System Configurations Considering Wind–Solar Energy Consumption Capacity by Haonan Dong, Zuoliang Yu, Yuehua Li, Qianwen Han, Li Zhou

“…In order to reduce energy waste caused by insufficient absorption capacity, improve the stability and reliability of the wind and solar energy storage system, reduce power costs, reduce greenhouse gas emissions, and enhance environmental benefits. A new optimization method for vanadium redox batteries that considers the wind and solar absorptive capacity is studied. …”
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Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography by Anh T. Tran, Dmitriy Desser, Tal Zeevi, Gaby Abou Karam, Julia Zietz, Andrea Dell’Orco, Min-Chiun Chen, Ajay Malhotra, Adnan I. Qureshi, Santosh B. Murthy, Shahram Majidi, Guido J. Falcone, Kevin N. Sheth, Jawed Nawabi, Seyedmehdi Payabvash

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Improving agricultural spraying with multi-rotor drones: a technical study on operational parameter optimization by D. Yallappa, R. Kavitha, A. Surendrakumar, B. Suthakar, A. P. Mohan Kumar, Balaji Kannan, M. K. Kalarani

“…Single pass distribution pattern and one-direction application distribution pattern method used for optimizing height of spray, operating pressure and nozzle mounting confirmation from the results of discharge rate, spray angle, effective spray width, spray liquid loss and spray distribution uniformity. …”
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Propionyl Carnitine Metabolic Profile: Optimizing the Newborn Screening Strategy Through Customized Cut-Offs by Maria Lucia Tommolini, Maria Concetta Cufaro, Silvia Valentinuzzi, Ilaria Cicalini, Mirco Zucchelli, Alberto Frisco, Simonetta Simonetti, Michela Perrone Donnorso, Sara Moccia, Ines Bucci, Maurizio Aricò, Vincenzo De Laurenzi, Luca Federici, Damiana Pieragostino, Claudia Rossi

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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. Methods: This study introduces an ensemble stacked bidirectional Long Short-Term Memory model enhanced by a proposed Adaptive Aquila Optimizer (AAO). …”
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Optimization of functionally graded materials to make stress concentration vanish in a plate with circular hole by Hassan Mohamed Abdelalim Abdalla, Francesco De Bona, Daniele Casagrande

“…Numerical optimal solutions are reported in graphical forms, thoroughly discussed and validated by means of the finite element method. …”
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Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency by Mahnaz Akbarzaghi, Behrooz Ahmadi Nedushan, Hamed Tajammolian

“…Additionally, no single kernel function consistently outperforms others across all optimization problems within the SVR method. In this study, the Gaussian kernel yielded superior results for the peak floor acceleration objective, while the Matérn 5/2 kernel provided better performance for the inter-story drift objective. …”
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Fractional-order SIR model for ADHD as a neurobiological and genetic disorder by Zeeshan Afzal, Mansoor Alshehri

“…Numerical simulations are carried out using the Laplace Residue Power Series (LRPS) and Runge-Kutta 4th Order (RK4) methods for different values of the fractional-order parameter $$\alpha$$ . …”
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Interlaboratory validation of an optimized protocol for measuring α-amylase activity by the INFOGEST international research network by Daniela Freitas, Shannon Gwala, Gwénaële Henry, Athina Lazaridou, Christine Boesch, Dorine Duijsens, Faye Wheller, Ivan M. Lopez-Rodulfo, Kali Kotsiou, Kendall R. Corbin, Marilisa Alongi, Mario M. Martinez, Maryam S. Hafiz, Monic M. M. Tomassen, Natalia Perez-Moral, Natalia P. Vidal, Renata M. C. Ariëns, Sebnem Simsek, Sedef Nehir El, Sibel Karakaya, Steven Le Feunteun, Shanna Bastiaan-Net, Svenja Krause, Bin Zhang, Caroline Orfila, Simon Ballance, Terri Grassby

“…The newly optimized protocol is henceforth recommended to ensure precise determinations of α-amylase activity levels and to facilitate comparisons across different studies.…”
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Optimization and impact of an evidence-based pre-audit prescription decision system in primary healthcare settings by Xiao-Hui Yue, Lei Yang, Jing-Jing Zhong, Hong-Mei Liu, Dan Wang, Xue Tao, Gao-Feng Zheng

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Ultrasound Examination of Skin, Fasciae and Subcutaneous Tissue: Optimizing Rehabilitation for Secondary Upper Limb Lymphedema by Carmelo Pirri, Chiara Ferraretto, Nina Pirri, Lara Bonaldo, Raffaele De Caro, Stefano Masiero, Carla Stecco

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A multi-objective optimization-based ensemble neural network wind speed prediction model by Haoyuan Ma, Chang Liu, Ziyuan Qiao, Yuan Liang, Hongqing Wang

“…However, most existing short-term wind speed forecasting methods rely solely on historical wind speed sequences, neglecting other influential factors. …”
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Optimizing pediatric preoperative fasting management: a survey of practices and real durations in Chinese hospitals by Bin Zhang, Shoudong Pan, Jijian Zheng, Bo Li, Yi Miao, Guohua Liu

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