Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning by Tiantian Yu, Tiantian Yu, Tiantian Yu, Guiying Wang, Guiying Wang, Guiying Wang, Xia Xu, Xia Xu, Xia Xu, Jianying Yan, Jianying Yan, Jianying Yan

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THE PROBLEM OF QUADRATIC PROGRAMMING IN DYNAMIC INPUT-OUTPUT BALANCE by Ramzia Duszynski, Evgeny Toroptsev

“…Research of the problem of sustainability offunctioning of economic systems in input-output models is associated with the implementation of computationally labor-intensive optimization procedures. …”
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Problem-Oriented Foundations of Intelligence in the Context of Superintelligence by Mark Burgin

“…Despite the substantial interest in intelligence, both natural and artificial, and active research in this area, there is still considerable disagreement about what exactly constitutes intelligence. …”
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LLVM-based Static Analysis Tool Using Type and Effect Systems by M. A. Belyaev, V. A. Tsesko

“…The approach taken is to research feasibility of designing instruments for static analysis by applying known type and effect system based algorithms for detecting defects to LLVM bitcode language and effectively to the original source code.…”
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Using Weather Data for Improved Analysis of Vehicle Energy Efficiency by Reno Filla

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Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis by Yuanzhao Wang, Nana Chen, Bangqiu Zhang, Pingping Zhuang, Bingtao Tan, Changlong Cai, Niancai He, Hao Nie, Songtao Xiang, Chiwei Chen

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Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive ge... by Wounsuk Rhee, Sam Yeol Chang, Bong-Soon Chang, Hyoungmin Kim

“…Trial registration Not applicable as this research is not a clinical trial.…”
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Application of Phi (<italic>&#x03A6;</italic>), the Golden Ratio, in Computing: A Systematic Review by M. Akhtaruzzaman, Jamal Uddin Tanvin, Amir Akramin Shafie, Fahim Shahryer, Sachitra Halder

“…The Golden Ratio (<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>) has intrigued researchers for centuries due to its widespread presence in both nature and science. …”
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Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery by Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda

“…Machine learning (ML) algorithms offer promising capabilities in uncovering complex patterns within this data, allowing for more accurate injury risk assessment. …”
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A review of interactions between irrigation and evapotranspiration by Ziyuan Gong, Fei Gao, Xinyu Chang, Tianqi Hu, Yaping Li

“…Facing the severe situation of global warming and water shortage, the research of hydrological cycle and regional scale climate has been paid more and more attention. …”
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2H-MoS2 lubrication-enhanced MWCNT nanocomposite for subtle bio-motion piezoresistive detection with deep learning integration by Ke-Yu Yao, Derek Ka-Hei Lai, Hyo-Jung Lim, Bryan Pak-Hei So, Andy Chi-Ho Chan, Patrick Yiu-Man Yip, Duo Wai-Chi Wong, Bingyang Dai, Xin Zhao, Siu Hong Dexter Wong, James Chung-Wai Cheung

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Semi-Active Suspension Control Strategy Based on Negative Stiffness Characteristics by Yanlin Chen, Shaoping Shen, Zhijie Li, Zikun Hu, Zhibin Li

“…We establish pavement models, incorporate negative stiffness into suspension modeling, and develop a performance evaluation index. Our research identifies shortcomings of classical semi-active control algorithms and introduces a new band selector to combine improved control methods. …”
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The role of machine learning in infectious disease early detection and prediction in the MENA region: A systematic review by Radwan Qasrawi, Ghada Issa, Suliman Thwib, Razan AbuGhoush, Malak Amro, Raghad Ayyad, Stephanny Vicuna, Eman Badran, Yousef Khader, Raeda Al Qutob, Faris Al Bakri, Hana Trigui, Elie Sokhn, Emmanuel Musa, Jude Dzevela Kong

“…The temporal analysis showed peak research output in 2022 (n = 30 studies), followed by a 25 % decline in 2023. …”
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A Comparative Analysis of Automated Machine Learning Libraries for Electricity Price Forecasting by O’Leary Christian, Lynch Conor, Toosi Farshad Ghassemi

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Genetic Pattern Recognition using Intelligent Techniques by Basil Thanoon, Omar Qasim

“…In this research a light is shed on converting DNA series to amino acid being responsible for forming protein through intelligent techniques. …”
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Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare by Kaidong Wang, Bing Tan, Xinfei Wang, Shicheng Qiu, Qiuping Zhang, Shaolei Wang, Ying‐Tzu Yen, Nan Jing, Changming Liu, Xuxu Chen, Shichang Liu, Yan Yu

“…The advancement of machine learning techniques has sparked considerable interest in medical research and engineering, offering ways to enhance diagnostic accuracy and relevance. …”
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AI-driven data fusion modeling for enhanced prediction of mixed-mode I/III fracture toughness by Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan, Attasit Wiangkham

“…By employing adaptive boosting and general regression neural network algorithms, the models developed in this research demonstrate a marked improvement in predictive performance compared to traditional primary source models. …”
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Exploration of Hub Genes and Pathogenetic Pathways in Systemic Lupus Erythematosus Complicated with Early Onset Atherosclerosis by Han Zhang, Yinde Huang, Xin Li, Wenbin Chen, Yu Lun, Jian Zhang

“…Conclusion. The results of our research show that SLE and atherosclerosis have common DEGs, pathophysiology, and hub genes. …”
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RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes by Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei

“…Aircraft detection technology plays a vital role in civilian applications, with significant attention being devoted to research on related algorithms in recent years. However, most existing research predominantly focuses on aircraft detection from a single top–down viewpoint, which constrains the applicability of detection technology across diverse scenarios. …”
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Determination of Colles fracture risk index by X-ray images with the computer vision application by Wisam A. Hussein, Hussain J. AlKhatteib, Jawad K. Abbas

“…Modelling a predictive risk index for Colles fractures using X-ray image analysis is a crucial application in orthopaedics since these fractures have essential health and economic burdens, particularly among the elderly. Previous research has established a correlation between decreased bone mineral density and the elevated risk of these fractures. …”
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