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Experiment and Prediction of Ablation Depth in Excimer Laser Micromachining of Optical Polymer Waveguides
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Application of Support Vector Machine in the Evaluation of Table Tennis Motion Profiles
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Laboratory Investigation on Particle Breakage Characteristics of Calcareous Sands
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Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma
Published 2025-02-01Get full text
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Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis
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Differential Private POI Queries via Johnson-Lindenstrauss Transform
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Exact Dynamic Characteristic Analysis of Steel-Concrete Composite Continuous Beams
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Global long-run convergence of carbon emissions and intensity vis-à-vis countries' industrial profiles
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The Impact of Interdisciplinary Team-Based Care on the Care and Outcomes of Chronically Ill Patients: A Systematic Review
Published 2025-01-01“…Ruttanaporn Kongkar,1 Suebsarn Ruksakulpiwat,1 Lalipat Phianhasin,1 Chitchanok Benjasirisan,1 Atsadaporn Niyomyart,2 Bootan Hasan Ahmed,3 Wimolrat Puwarawuttipanit,1 Wanicha L Chuenkongkaew,4 Jon Adams5 1Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand; 2Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; 3Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA; 4Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; 5School of Public Health, The University of Technology Sydney, Sydney, NSW, AustraliaCorrespondence: Suebsarn Ruksakulpiwat, Email suebsarn25@gmail.comObjective: To examine the impact of interdisciplinary team-based care (ITBC) on chronically ill patients and their outcomes as reported in relevant contemporary literature.Methods: In this systematic review, PubMed, MEDLINE, Web of Science, CINAHL Plus Full Text, and ten publishers were searched to identify studies published between 2019 and 2024. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting
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