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http://dx.doi.org/10.1103/PhysRevLett.73.3074 | DOI Listing |
Headache
January 2025
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Objective: Our primary objective was to evaluate the safety and feasibility of transcranial direct current stimulation combined with exercise therapy for the treatment of cervicogenic headache. Our exploratory objectives compared symptoms of headache, mood, pain, and quality of life between active and sham transcranial direct stimulation combined with exercise therapy.
Background: Cervicogenic headache arises from injury to the cervical spine or degenerative diseases impacting cervical spine structure resulting in pain, reduced quality of life, and impaired function.
J Environ Manage
January 2025
Mechatronics Engineering Department, School of Automobile, Mechanical and Mechatronics, Manipal University Jaipur, India. Electronic address:
Herein, novel hollow ZnO and ZnO@SnInS core-shell nanorods (NRs) with controlled shell thickness were developed via a facile synthesis approach for the efficient photocatalytic remediation of organic as well inorganic water pollutants. The introduction of SnInS shell layer coating over ZnO enhances visible light absorption, efficient exciton-mediated direct charge transfer, and reduces the band gap of ZnO@SnInS core-shell nanorods. The ZnO@SnInS core-shell nanorods show efficient solar-light driven catalytic efficiency for the disintegration of industrial dye (orange G), degradation of tetracycline, and reduction of hazardous Cr (VI) ions in aquatic systems.
View Article and Find Full Text PDFJ Biomed Opt
January 2025
University of Ljubljana, Faculty of Mathematics and Physics, Ljubljana, Slovenia.
Significance: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte Carlo and inverse adding-doubling (IAD).
Aim: We aim to develop a Bayesian neural network model for robust prediction of physiological parameters from hyperspectral images.
Approach: We propose a two-component system for extracting physiological parameters from hyperspectral images.
Glob Reg Health Technol Assess
December 2024
Department of Hospital Pharmacy, Città della Salute e della Scienza di Torino, Turin - Italy.
Introduction: The infections of multidrug-resistant organisms (MDROs) associated with duodenoscopes during endoscopic retrograde cholangiopancreatography (ERCP) procedure have become a significant cause for concern, especially in fragile patients. While the clinical impacts of these infections are well-documented, their economic implications remain underexplored. This study assesses the incidence and economic burden of post-ERCP infections in Italy using an administrative database.
View Article and Find Full Text PDFArch Rehabil Res Clin Transl
December 2024
Department of Orthopaedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Objective: To estimate limb loss prevalence in the United States (US) by etiology and anatomical position and the trends of limb loss over 40 years.
Design: We used the National Inpatient Sample, Healthcare Cost and Utilization Project to estimate current and future limb loss prevalence in the US and by anatomical location. Prevalence estimates were based on the incidence and duration of the disease.
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