Noninvasive Quantification of Nausea Severity in Pediatric Functional Nausea by Nicole D. Muszynski, Suseela Somarajan, Jordan D. Busing, Alexandra C. Russell, Sari A. Acra, Leonard A. Bradshaw

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Are Electromyography Data a Fingerprint for Patients with Cerebral Palsy (CP)? by Mehrdad Davoudi, Firooz Salami, Robert Reisig, Dimitrios A. Patikas, Nicholas A. Beckmann, Katharina S. Gather, Sebastian I. Wolf

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Primary and secondary myelofibrosis: ophthalmological manifestations at onset and during therapy by O. Yu. Vinogradova, L. B. Egoryan, D. I. Shikhbabaeva, A. L. Neverova, M. M. Pankrashkina, L. K. Moshetova

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THE USE OF INTERACTIVE STUDYING METHODS IN TEACHING OPERATIVE SURGERY AND TOPOGRAPHIC ANATOMY by V.M. Fedorak

“…However, they are guided by the instruction, which consists of algorithm of performing certain surgical techniques or operations. …”
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School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites by Alison O'Daffer, Wendy Liu, Cinnamon S Bloss

“…Dissemination of our findings can improve parent, educator, student, and researcher awareness of school-based online monitoring services.…”
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Acute Coronary Syndrome in Patients With 2 Type Diabetes Mellitus (Review of Literature; Description of the Clinical Case) by Bilous Z., Abrahamovych О., Mazur N., Ryabokon S., Ilenkiv N., Bevza N.

“…The effect of each individual pathogenic marker on the clinical course and complications of these patients remains undetermined; therefore, the study of the clinical course of ACS with comorbid type 2 diabetes mellitus and the prediction of complications are important for improving the prognosis in these patients. …”
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Penerapan Model Algoritma Unsupervised Learning untuk Klasterisasi Tingkat Kenyamanan Ruang Tidur berdasarkan Faktor Lingkungan by Mhd Idham Khalif, Listyo Edi Prabowo

“…The collected data forms a dataset that is processed using the k-means clustering algorithm to classify the comfort level of the bedroom. …”
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Biosample collection in a biobank to solve problems of personalized medicine by O. V. Kopylova, A. I. Ershova, A. N. Meshkov, M. S. Pokrovskaya, I. A. Efimova, A. S. Limonova, A. V. Blokhina, Z. Z. Serebryanskaya, S. A. Smetnev, V. I. Mikhailina, R. P. Myasnikov, A. V. Kiseleva, E. V. Garbuzova, V. A. Metelskaya, A. L. Borisova, O. M. Drapkina

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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

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ICP-Based Mapping and Localization System for AGV with 2D LiDAR by Felype de L. Silva, Eisenhawer de M. Fernandes, Péricles R. Barros, Levi da C. Pimentel, Felipe C. Pimenta, Antonio G. B. de Lima, João M. P. Q. Delgado

“…The proposed solution provides a robust and adaptable foundation for mobile platforms, with potential applications in industrial automation, academic research, and education in mobile robotics.…”
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Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

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Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

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Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis by Lana V Ivanitskaya, Dimitrios Zikos, Elina Erzikova

“…To that end, we analyze evidence from 3 corpora: 10,022 OpenAlex documents with eHealth in the title, the 5000 most relevant eHealth articles according to the Web of Science (WoS) algorithm, and all available (n=1885) WoS eHealth reviews. …”
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Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Barriers to trust included algorithmic opacity, insufficient training, and ethical challenges, while enabling factors for health care workers’ trust in AI-CDSS tools were transparency, usability, and clinical reliability. …”
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Qualitative changes in clinical records after implementation of pharmacist-led antimicrobial stewardship program: a text mining analysis by Keisuke Sawada, Shuji Kono, Ryo Inose, Yuichi Muraki

“…Co-occurrence relationships were assessed using Dice coefficients (threshold, ≥ 0.3), and communities were detected using the Louvain algorithm. Changes in documentation patterns were compared using Fisher’s exact test. …”
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Diagnosis of gastrointestinal fistulas in pancreatic necrosis by X-ray and computed tomography by T. G. Barmina, L. T. Khamidova, O. A. Zabavskaya, I. E. Selina, P. A. Yartsev, F. A.-K. Sharifullin, I. E. Popova, E. A. Eletskaia, А. M. Kuzmin

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Epidemiological and spatiotemporal analysis of elderly HIV-1/AIDS patients in Ningxia, China, from 2018 to 2023 by Zhonglan Wu, Yichang Liu, Xiaofa Ma, Yufeng Li, Xiaohong Zhu, Dongzhi Yang, Jianxin Pei, Yong Li

“…Drug resistance was analyzed using the Stanford University HIVdb algorithm. Molecular transmission networks were constructed using Cytoscape 3.10.0. …”
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Persistence in the socio-economic development of the regions of the Siberian Federal District by Misak S. Arzumanyan

“…The components of socio-economic development from the following subspheres were analyzed: population, employment and unemployment, standard of living, housing conditions, education, healthcare, environmental protection, economy, housing construction, housing market. …”
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