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Versatile g-CN/AlOOH Nanocomposites: Efficient photocatalyst for Dye Removal, Algae Inactivation, and Glucose Detection.
Chemosphere
December 2024
Department of Chemical and Materials Engineering, National University of Kaohsiung, Kaohsiung 81148, Taiwan. Electronic address:
Visible light photocatalysts hold great promise for water purification, yet research on highly efficient, non-toxic photocatalysts is limited. This study synthesized novel g-CN/AlOOH photocatalytic nanocomposites via thermal condensation, enhancing adsorption and visible light degradation by 36-fold and 11-fold, respectively, compared to g-CN alone. The nanocomposites achieved a 98% removal rate of methyl orange under xenon lamp irradiation (>400 nm) for 1 hour.
View Article and Find Full Text PDFSubregions of the Rotator Cuff Muscles Present Distinct Anatomy, Biomechanics, and Function.
Sports (Basel)
December 2024
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Shoulder and elbow injuries are prevalent among baseball players, particularly pitchers, who experience repetitive eccentric loading of the shoulder, leading to muscle damage and increased injury risk. Nearly 40% of shoulder injuries in baseball occur in pitchers, with many facing low rates of return to sport. The rotator cuff (RC) muscles-supraspinatus (SSP), infraspinatus (ISP), subscapularis (SSC), and teres minor (TMin)-are crucial for shoulder stability, movement, and force generation, particularly in overhead sports.
View Article and Find Full Text PDFHigh specificity of an AI-powered framework in cross-checking male professional football anterior cruciate ligament tear reports in public databases.
Knee Surg Sports Traumatol Arthrosc
December 2024
Department of Orthopaedic Surgery, Centre Hospitalier de Luxembourg - Clinique d'Eich, Luxembourg, Luxembourg.
Purpose: While public databases like Transfermarkt provide valuable data for assessing the impact of anterior cruciate ligament (ACL) injuries in professional footballers, they require robust verification methods due to accuracy concerns. We hypothesised that an artificial intelligence (AI)-powered framework could cross-check ACL tear-related information from large publicly available data sets with high specificity.
Methods: The AI-powered framework uses Google Programmable Search Engine to search a curated, multilingual list of websites and OpenAI's GPT to translate search queries, appraise search results and analyse injury-related information in search result items (SRIs).
An appraisal and comparative analysis of superb microvascular imaging with conventional ultrasound and MRI for greater trochanteric pain syndrome management.
Medicine (Baltimore)
December 2024
Radiology Department, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Greater trochanteric pain syndrome (GTPS) is a common cause of hip pain and is often associated with chronic lower back pain and lower extremity osteoarthritis. Its diagnosis is clinical; however, imaging has been shown to aid in the differential diagnosis of challenging cases. Superb microvascular imaging (SMI) is a new technique that may be more effective than power Doppler ultrasonography (PDUS) in the detection of inflammation-related vascularity in patients.
View Article and Find Full Text PDFAutomatic three-dimensional analysis of posterosuperior full-thickness rotator cuff tear size on MRI.
J Shoulder Elbow Surg
December 2024
School for Biomedical and Precision Engineering, Personalised Medicine Research, University of Bern, Bern, Switzerland.
Background: Tear size and shape are known to prognosticate the efficacy of surgical rotator cuff (RC) repair however, current manual measurements on magnetic resonance images (MRI), exhibit high interobserver variabilities and exclude three-dimensional (3D) morphological information. This study aimed to develop algorithms for automatic 3D analyses of posterosuperior full-thickness RC tear to enable efficient and precise tear evaluation and 3D tear visualization.
Methods: - A deep-learning network for automatic segmentation of the tear region in coronal and sagittal multicenter MRI was trained with manually segmented (consensus of 3 experts) pd- and T2 weighted MRI of shoulders with full-thickness posterosuperior tears (n=200).
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