An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

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Economic Development of the Latin American Integration Association: Trends and Prospects by M. N. Tolmachev, E. V. Nikiforova, A. P. Tsypin

“…A set of these methods and algorithms made it possible to identify the patterns that have developed at the moment in the economies of the Latin American Integration Association countries, assess their positions regarding world leaders, and also build short-term development forecasts.Results. …”
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Enhancing Cloud Job Failure Prediction With a Novel Multilayer Voting-Based Framework by Ahmed Elkaradawy, Ayman Elshenawy, Hany Harb

“…To address this challenge, researchers have progressively developed machine learning and deep learning techniques that examine cloud logs to identify patterns linked to such failures. …”
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A longitudinal study of changes in depressive symptoms and risk factors for congestive heart failure by Julia Gallucci, Justin Ng, Maria T. Secara, Brett D. M. Jones, Colin Hawco, M. Omair Husain, Nusrat Husain, Imran B. Chaudhry, Aristotle N. Voineskos, M. Ishrat Husain

“…Results Four separate patterns of depressive symptom changes were identified: ‘good prognosis’, ‘remitting course’, ‘clinical worsening’ and ‘persistent course’. …”
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Applications of Artificial Intelligence in Drug Repurposing by Zhaoman Wan, Xinran Sun, Yi Li, Tianyao Chu, Xueyu Hao, Yang Cao, Peng Zhang

“…It is shown that the existing AI algorithms excel at analyzing large‐scale datasets, identifying the complicated patterns of drug responses from these datasets, and making predictions for potential drug repurposing. …”
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Diagnosis and treatment outcomes of primary lymphoma of the thyroid gland by Omar Hamdy, Gehad A. Saleh, Ramadan Ayman Selim, Radwa M. Abdelsattar, Maryam M. Dawood, Youssef Y. Abbas, Rana Abdo, Yousef M. Mansour, Jana M. AbuZahra, Mohamed Elsayed, Ahmed E. Eladl, Shaimaa El-Ashwah, Mohamed Ezat

“…In this study, we aimed to assess thyroid lymphoma’s epidemiology, patterns of relapse, diagnostic approaches, and prognostic features, presenting a 16.5-year experience at a tertiary referral oncology center. …”
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Host associations and genetic diversity of bat flies (Diptera: Nycteribiidae and Streblidae) in bats from Thailand by Dimas Novianto, Siwaporn Tuangpermsub, Thongchai Ngamprasertwong, Morakot Kaewthamasorn

“…DNA barcoding targeted to the mitochondrial Cox1 and nuclear 28S rRNA genes was utilized. Infestation patterns were analyzed in relation to host sex, sampling site, and physiological status. …”
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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

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Classification of acoustic emission signals registered during the foam drainage process by Z. RANACHOWSKI, P. RANACHOWSKI

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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…At the same time, selecting the appropriate pattern recognition algorithm can make the system more accurate.…”
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Assessing the Impact of Land Use Changes on Ecosystem Service Values in Coal Mining Regions Using Google Earth Engine Classification by Shi Chen, Jiwei Qin, Shuning Dong, Yixi Liu, Pingping Sun, Dongze Yao, Xiaoyan Song, Congcong Li

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Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images by M. Elena Martinez-Perez, Franziska G. Rauscher, Pingping Zhao, Tobias Elze

“…The optic disc-fovea angle markedly influences the regional distribution of retinal layer thickness patterns, specifically the retinal nerve fiber layer thickness measured at the optic disc. …”
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A scoping review and bibliometric analysis (ScoRBA) of machine learning in genetic data analysis: unveiling the transformative potential by Zakaria et al.

“…The important domains identified are Cancer Genomics, Bioinformatics, Precision Medicine, Disease Biomarkers, and Genetic Algorithms. These domains benefit from ML's data-driven insights, which have the potential to revolutionize healthcare and biomedical research. …”

A comprehensive review of flood damage in mountainous regions: challenges, solutions, and advanced management technologies by Mohammad Roohi, Jila Dehghani, Maryam Irani, Paramiss Mina

“…This work employs techniques such as LiDAR for precise topographic models, integrating remote sensing with hydrological/hydraulic models, and analyzing satellite imagery to study flood patterns and land cover changes. Furthermore, a precise and useful understanding of the effects of floods in these areas has been made possible by the use of machine learning algorithms to forecast flood episodes and evaluate damage, in conjunction with field research and community participation, such as citizen science initiatives for data collection and local knowledge integration. …”
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Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

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Key Generation and Testing Based on Biometrics by Alaa AbdulRaheeM, shahd Abdulrhman Hasso

“…Creating and testing a biometric key is a critical process used for security and identity verification .When using biometric traits such as fingerprints, facial features, iris patterns, earprints, and voice patterns, a unique key is created and linked to the individual's biometric identity. …”
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Objective determination of initiation stress and damage stress in rock failure using acoustic emission and digital image correlation by Peng Liang, Yanbo Zhang, Xulong Yao, Guangyuan Yu, Qiang Han, Junling Liu

“…Three damage variables were established based on the cumulative counts of acoustic emission shear waves, primary waves, and principal strain, and their evolution patterns were analyzed. The research aimed to explore a method for determining rock characteristic stresses by integrating acoustic emission monitoring with the DIC method. …”
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Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention by Anna Rita E. Moukarzel, Justin Fitzgerald, Marcus Battraw, Clifford Pereira, Andrew Li, Paul Marasco, Wilsaan M. Joiner, Jonathon Schofield

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Small-sample-data augmentation and transfer strategies for forest cover change monitoring by Kun Feng, Shaoxiu Ma, Haiyang Xi, Linhao Liang, Weiqi Liu, Atsushi Tsunekawa

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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

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