Role of inflammation-related genes as prognostic biomarkers and mechanistic implications in idiopathic pulmonary fibrosis by Bing Bai, Bing Bai, Bing Bai, Wenfei Zhao, Fazhan Li, Yang Mi, Pengyuan Zheng

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Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer by Qiang Luo, Qiang Luo, Tingting Jiang, Tingting Jiang, Dacheng Xie, Xiaojia Li, Xiaojia Li, Keping Xie, Keping Xie

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Application and prospects of machine learning for rockfalls, landslides and debris flows by Jiazhu WANG, Yongbo TIE, Yongjian BAI, Yanchao GAO, Donghui WANG, Mingzhi ZHANG

“…Artificial intelligence, notably machine learning algorithms, has emerged as a hot point in this domain. …”
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Non-Contact Dimensional Quality Inspection System of Prefabricated Components Using 3D Matrix Camera by Wanqing Lyu, Xiwang Chen, Wenlong Han, Kun Ni, Rui Jing, Lin Tong, Junzheng Pan, Qian Wang

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An artificial ecological system-based optimization to forecast the maximal TPH removal from Nigeria's Niger Delta crude oil-contaminated soil treated with a mix of biochar by Daniel Hogan Itam, Chimeme Martin Ekwueme, Ibiba Taiwo Horsfall

“…In the present research, an optimization approach based on artificial ecological systems was used to predict the maximum TPH removal from Nigeria's Niger-Delta crude oil polluted soil remediated with biochar mix. …”
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Development of Interactive Learning Application for Basic Programming Based on Technological Pedagogical Content Knowledge Framework by Daniel Yulius Soetjipto, Hendra Dinata, Melissa Angga, Jovan Adriel Widjaja

“… Information technology students must take Algorithms and Programming. Research shows that 28% of US students fail their basic programming subject, which is essential to mastering programming. …”
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Machine learning Techniques for Spondylolisthesis Diagnosis: a review by Rahma Rabee Aziz, Mohammed S. Jarjees, Mohammad R. Aziz, Ali Asim Hameed

“…This study examines previous research on image processing for spondylolisthesis severity evaluation. …”
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A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018 by Wenqiang Wang, Ruiqing Mo, Xingyu Chen, Sijie Yang

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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…Abstract Background Researchers have increasingly adopted AI and next-generation sequencing (NGS), revolutionizing genomics and high-throughput screening (HTS), and transforming our understanding of cellular processes and disease mechanisms. …”
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Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies by Ulrike Weirauch, Markus Kreuz, Colin Birkenbihl, Miriam Alb, Maria Quaranta, Laurence Calzone, Sophia Orozco-Ruiz, Stefanie Binder, Luise Fischer, Solène Clavreul, Morine Maguri, Maximilian Ferle, Michael Rade, Guillaume Azarias, Jay R. Hydren, Jakub Jamarik, Daniel Schwarz, Zsolt Sebestyen, Jurgen Kuball, Georg Popp, Chloé Antoine, Manon Knockaert, Clara T. Schoeder, David Fandrei, Carmen Sanges, Vaclovas Radvilas, Nico Gagelmann, Markus Rückert, Olaf Penack, Stephan Fricke, Andreas Schmidt, Carol Ward, Carl Steinbeisser, Jean-Marc Van Gyseghem, Anna Niarakis, Laurent Garderet, Michael Hudecek, Thomas Neumuth, Uwe Platzbecker, Ulrike Köhl, Regina Demlova, Andreas Kremer, Stefan Franke, Holger Fröhlich, Maximilian Merz, Kristin Reiche, On behalf of the CERTAINTY Consortium

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POSSIBILITIES OF CARIES PROGNOSIS IN CHILDREN OF SCHOOL-AGE ACCORDING TO DATA GAINED FROM THEM AND THEIR PARENTS QUESTIONNAIRE by L.F. Kaskova, T.B. Mandziuk, L.P. Ulasevych, L.D. Korovina, M.A. Sadovski

“…This will be the next aim for the further research. …”
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Associations of accelerated biological ageing with incident dementia, cognitive functions and brain structure: a prospective cohort study based on UK Biobank by Xiao Ren, Xiaowei Zheng, Yonghong Zhang, Zhengbao Zhu, Mengyao Shi, Pinni Yang, Lulu Sun, Ruirui Wang, Yiqun Li, Wenyang Han, Minglan Jiang, Yiming Jia

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AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on a Cue-Masked Paradigm by Keren Shi, Xu Liu, Xue Yuan, Haijie Shang, Ruiting Dai, Hanbin Wang, Yunfa Fu, Ning Jiang, Jiayuan He

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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…Research on the extraction of satellite information for the areas of coastal fish cages and rafts is important to quickly grasp the pattern and structure of the coastal fishery aquaculture industry. …”
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Integrating artificial intelligence in nanomembrane systems for advanced water desalination by Anbarasu Krishnan, Thanigaivel Sundaram, Beemkumar Nagappan, Yuvarajan Devarajan, Bhumika

“…However, challenges remain, such as the development of desalination-specific AI algorithms, ensuring scalability and compatibility, and addressing data privacy and security concerns. …”
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Using actigraphy to assess sleep characteristics by G. A. Trusov, A. V. Korobeinikova, L. V. Getmantseva, S. Yu. Bakoev, A. N. Lomov, A. A. Keskinov, V. S. Yudin

“…The importance of accurate methodology and validated algorithms for  actigraphy data analysis is  emphasized through a  review of various sleep assessment algorithms and their application in clinical and research settings. …”
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Charting the path forward: CT image quality assessment - an in-depth review by Siyi Xun, Qiaoyu Li, Xiaohong Liu, Pu Huang, Guangtao Zhai, Yue Sun, Peter H. N. de With, Mingxiang Wu, Tao Tan

“…It helps improve the accuracy of CT scanning equipment and the performance of CT system reconstruction algorithms, and provides a new idea for CT image processing algorithms. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…This review explores hyperspectral imaging (HSI) integrated with machine learning (ML) algorithms as a promising approach for detecting and quantifying mycotoxins in cereal grains and nuts. …”
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Development of Non-Invasive Continuous Blood Pressure Measurement System Based on Multiple Feature Parameters by Mingyue LI, Zhiying YUAN, Ruowei LI, Jieying SHAN, Jilun YE, Xu ZHANG, Hui YU, Xiaoyu WU

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Modulation frequency constraints on wow and flutter determination by Przemysław MAZIEWSKI

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