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Background: Extracorporeal membrane oxygenation (ECMO) is a critical treatment for severe cardiopulmonary failure. However, traditional ECMO decannulation methods, such as manual compression and surgical repair, are associated with significant complications. This study evaluates suture-mediated closure devices, specifically Perclose ProGlide, as a potentially favorable decannulation strategy.

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Effects of high-intensity laser therapy in patients with De Quervain's tenosynovitis: A systematic review and meta-analysis.

J Hand Ther

January 2025

Physiotherapeutic Resources Research Laboratory, Department of Physical Therapy, Federal University of São Carlos (UFSCar), São Paulo, Brazil; Department of Rehabilitation Sciences, University of Hartford, West Hartford, CT, USA.

Background: De Quervain's tenosynovitis (QT) is common among individuals performing repetitive manual tasks and significantly affects daily activities due to pain. While traditional treatments often provide limited relief, high-intensity laser therapy (HILT) shows as a potential analgesic resource.

Purpose: This systematic review aimed to evaluate the analgesic effects of HILT in patients with QT.

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To evaluate the feasibility of using the National Patient-Centered Clinical Research Network (PCORnet) as a source of electronic health record (EHR) data for cleft outcomes research. Exploratory retrospective analysis of multi-year, administrative and clinical, structured data stored in PCORnet. Academic institution with an ACPA-approved cleft and craniofacial team.

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Purpose: The spot size of scanned particle beams is of crucial importance for the correct dose delivery and, therefore, plays a significant role in the quality assurance (QA) of pencil beam scanning ion beam therapy.

Materials And Methods: This study compares 5 detector types-radiochromic film, ionization chamber (IC) array, flat panel detector, multiwire chamber, and IC-for measuring the spot size of proton and carbon ion beams.

Results: Variations of up to 30% were found between detectors, underscoring the impact of detector choice on QA outcomes.

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Predicting cobalt ion concentration in hydrometallurgy zinc process using data decomposition and machine learning.

Sci Total Environ

January 2025

State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming, Yunnan 650093, PR China; Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, PR China. Electronic address:

Solid waste is one of the primary contributors to environmental pollution currently, it is crucial to enhance the prevention and control of solid waste pollution in environmental management. The effectiveness of the second stage of purification in the industrial zinc hydrometallurgy is determined by the concentration of cobalt ion. Manual testing and monitoring of cobalt ion concentration are time consuming and costly, and prone to delays, which can result in discharge of cobalt ion concentration that does not meet the standards, leading to water pollution.

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