Identifying opioid agonist treatment prescriber networks from health administrative data: A validation study. by Megan Kurz, Mark Tatangelo, Kristen A Morin, Michelle Zanette, Emanuel Krebs, David C Marsh, Bohdan Nosyk

“…We aimed to determine and validate whether prescriber networks, constructed with administrative data, can successfully identify distinct clinical practice facilities in Ontario, Canada.…”
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Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification by Satheeshkumar Palanisamy, Vigneshwaran Thangaraju, Jeevitha Kandasamy, Ayodeji Olalekan Salau

“…While the model achieved high scores across these metrics (e.g., AUC up to 0.995, Sensitivity and Specificity above 98%), we report these results conservatively and contextualize them with statistical validations, including cross-validation and multiple-run averaging. Comparative analysis against state-of-the-art models such as PSO-DNN, WOA-BRNN, and Adaptive E-Bat DBN is presented in detail, demonstrating the proposed model’s consistent superiority in classification performance and computational efficiency across diverse disease types. …”
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A secured remote patient monitoring framework for IoMT ecosystems by Pronaya Bhattacharya, Anwesha Mukherjee, Bharat Bhushan, Shashi Kant Gupta, Thippa Reddy Gadekallu, Zhu Zhu

“…There is a need for real-time IoMT computing closer to the dew, with secured and privacy-enabled access to healthcare data. …”
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New insights into Earth’s mantle conductivity and water distribution using Macau Science Satellite-1 data by ZhengYong Ren, YiFei Xie, ChaoJian Chen, HongBo Yao, JingTian Tang, Keke Zhang

“…We then develop a trans-dimensional Bayesian approach to reveal Earth’s internal conductivity, providing probable conductivity structure with an uncertainty analysis. Finally, by integrating known mineral composition, pressure, and temperature distribution within the mantle, we estimate the water content range in the mantle transition zone, concluding that this region may contain the equivalent of up to 3.0 oceans of water, providing compelling evidence that supports the hypothesis of a deep water cycle within the Earth’s interior.…”
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Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities by Laura Parra Garcia, Gianluca Furano, Max Ghiglione, Valentina Zancan, Ernesto Imbembo, Christos Ilioudis, Carmine Clemente, Paolo Trucco

“…Furthermore, it examines the potential future developments in onboard processing, such as the integration of artificial intelligence and machine learning techniques to enhance data analysis and decision-making capabilities. The advancements in onboard processing have the potential to revolutionize the way SAR missions are conducted. …”
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Asymmetry and Dynamical Constraints in Two-limbs Retrieval of WASP-39 b Inferring from JWST Data by Zixin Chen, Jianghui Ji, Guo Chen, Fei Yan, Xianyu Tan

“…Two of these 2D models include our newly proposed dynamical constraints derived from shallow-water simulations to provide physically-motivated temperature differences between limbs. Our analysis of WASP-39 b using JWST observations and previous combined data sets (HST, VLT, and Spitzer) strongly favors 2D retrievals over traditional 1D approaches, confirming significant limb asymmetry in this hot Jupiter. …”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…The extensive features of the dataset can lead to computational burdens and reduced classification performance. …”
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SGLT-2 Inhibitors and Metabolic Outcomes: A Primary Data Study Exploring the Microbiota–Diabetes Connection by Nicoleta Mihaela Mindrescu, Cristian Guja, Viorel Jinga, Sorina Ispas, Antoanela Curici, Rucsandra Elena Danciulescu Miulescu, Andreea Nelson Twakor, Anca Mihaela Pantea Stoian

“…Alterations in microbial composition may influence glycemic control and systemic inflammation. …”
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Bleeding risk factors in patients with acute coronary syndrome: data from observational studies ORACUL II by V. A. Brazhnik, L. O. Minushkina, R. R. Guliev, A. O. Averkova, A. A. Rogozhina, O. S. Koroleva, E. A. Zubova, E. A. Karmanchikova, N. R. Khasanov, M. A. Chichkova, O. I. Boeva, A. S. Galyavich, D. A. Zateyshchikov

“…To identify the risk factors for bleeding of BARC scale 2-5 types in patients after acute coronary syndrome (ACS).Material and methods. The data of 1502 patients from the open multicenter study, ORACUL II, were used — 894 men (59,5%) and 608 women (40,5%), mean age — 65,7±12,9 years. …”
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Researchers’ perspectives on the integration of molecular and genomic data into malaria elimination programmes in Africa: a qualitative study by Paulina Tindana, Daniel Enos Sekwo, Leonard Baatiema, Abdoulaye Djimde, the Pathogen Genomics Diversity Network, Africa (PDNA)

“…In-depth interviews were conducted with each PDNA Principal Investigator, which were recorded, and transcribed verbatim. Subsequently, the data were analysed thematically with NVivo 12 qualitative data analysis software. …”
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Chemical Composition and Bioactivity of Extracts Obtained from <i>Prunus spinosa</i> Seeds by Supercritical CO₂ Extraction by Alessandra Piras, Silvia Porcedda, Antonella Smeriglio, Domenico Trombetta, Franca Piras, Valeria Sogos, Antonella Rosa

“…This study investigates the potential reuse of <i data-eusoft-scrollable-element="1">Prunus spinosa</i> (blackthorn) seeds, a food industry by-product. …”
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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…This proposed methodology improved the detection of an imbalanced dataset, although challenges remain in both interpretability and computational complexity. We created a synthetic dataset of 1000 samples using realistic feature ranges that mimic the Rif data region to test model performance and conduct sensitivity analysis. …”
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On the methods of minimizing the risks of implementing artificial intelligence in the financial business of a company by Eugeny Yu. Shchetinin, Leonid A. Sevastianov, Anastasia V. Demidova, Tatyana R. Velieva

“…With the rapid growth of computer and network technologies, the increase in the frequency of market transactions, the diversification of data sources, and the development and application of big data, this creates new problems for financial risk management based on big data. …”
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A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones by Ryosuke Susuta, Kenta Yamada, Hideki Takayasu, Misako Takayasu

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Prevalence of composite indicator anthropometric failures and associated factors among 6–59 month children living in Mojo Town, Oromia, Ethiopia by Haji Aman Deybasso, Eyerusalem Shiferaw Belda, Ephrem Mannekulih Habtewold

“…The collected data were checked, coded, and entered into Epi info 7 version 3.1 and exported to the statistical package for Social Science version 25 for further analysis. …”
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Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) by José Ginés Giménez Manuel, José Giner Pérez de Lucia, Marco Antonio Celdrán Bernabeu, José Norberto Mazón López, Juan Carlos Cano Escribá, José María Cecilia Canales

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Simplistic synthesis of L-Serine-ZnS composites with distinct morphological nature, enhanced thermal stability and superior photocatalytic enactment for ciprofloxacin removal by Aimon Hossain Faisal, Mohammad Mizanur Rahman Khan, Jae-Ho Jeong

“…TGA data revealed the enhanced thermal stability of composites than L-Serine. …”
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Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study by Clair Blacketer, Martijn J Schuemie, Maxim Moinat, Erica A Voss, Montse Camprubi, Peter R Rijnbeek, Patrick B Ryan

“…ConclusionsEHDEN is the largest federated health data network in Europe, enabling standardized, General Data Protection Regulation–compliant analysis of RWD across diverse care settings and populations. …”
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Privacy, ethics, transparency, and accountability in AI systems for wearable devices by Petar Radanliev, Petar Radanliev

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Composition of Population of Tatar Settlement of Tobolsk according to the “Census Book of Tatar Yurts in River Irtyshu” (Second Half of 17th Century) by Z. A. Tychinskikh, S. R. Muratova

“…The results of a comparative analysis of data from the census book of 1682 with other sources are presented. …”
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