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Short-term outcomes of mesh-suture repair in the treatment of ventral hernias: a single-center study.
Surg Endosc
January 2025
Division of Minimally Invasive and Bariatric Surgery, Penn State Health Milton S. Hershey Medical Center, 500 University Drive, Hershey, PA, 17033, USA.
Background: Defect closure with mesh suture is a novel technique for hernia repair. Originally described as the construction of lightweight macroporous polypropylene mesh strips as a suture material, it is now available as an FDA-approved product. Mesh suture better distributes tensile forces and reduces fascial tearing compared to traditional suture but requires less implanted material and tissue dissection compared to planar mesh.
View Article and Find Full Text PDFTemporal-spatial evolution and formation mechanism of energy consumption carbon footprint at county scale in the Yellow River Basin.
Sci Rep
January 2025
Business School, Hebei University of Economics and Business, Shijiazhuang, 050062, China.
The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the "dual carbon" goals and modernizing national governance. Utilizing remote sensing data from 2001 to 2020, this study constructs a light-carbon conversion model and a carbon footprint model to simulate the carbon footprint of county energy consumption in the YRB. Employing spatial autocorrelation and spatial Durbin models, the study examines the temporal-spatial evolution characteristics and spatial effect mechanism.
View Article and Find Full Text PDFUnsupervised data imputation with multiple importance sampling variational autoencoders.
Sci Rep
January 2025
School of Mathematics and Statistics, Shaoguan University, Shaoguan, 512005, China.
Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. In this work, we further investigate the potential of Variational Autoencoders (VAEs) in addressing the uncertainty associated with missing data via a multiple importance sampling strategy. We propose a Missing data Multiple Importance Sampling Variational Auto-Encoder (MMISVAE) method to effectively model incomplete data.
View Article and Find Full Text PDFPCR-based diagnosis and clinical insights into parasitic keratitis.
J Microbiol Immunol Infect
January 2025
Department of Ophthalmology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address:
Purpose: This retrospective study aimed to investigate demographic characteristics, predisposing factors, and clinical outcomes in patients with parasitic keratitis.
Methods: Medical records of patients with molecularly confirmed Acanthamoeba or microsporidia, identified through corneal scraping specimens (collected between September 21, 2017, and June 27, 2023), were reviewed. Demographic data, clinical profiles, such as symptom duration before confirmed diagnosis, antiviral treatment pre-diagnosis, contact lens use, tap water and soil contamination, ocular trauma, and treatment regimens, were analyzed.
The interplay between retinoic acid binding proteins and retinoic acid degrading enzymes in modulating retinoic acid concentrations.
Curr Top Dev Biol
January 2025
Department of Pharmaceutics, School of Pharmacy, University of Washington.
The active metabolite of vitamin A, all-trans-retinoic acid (atRA), is critical for maintenance of many cellular processes. Although the enzymes that can synthesize and clear atRA in mammals have been identified, their tissue and cell-type specific roles are still not fully established. Based on the plasma protein binding, tissue distribution and lipophilicity of atRA, atRA partitions extensively to lipid membranes and other neutral lipids in cells.
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