A large-scale experiment focused on social belonging shows impacts on first-year full-time completion.
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Usability, efficacy, and safety of candidate tocilizumab biosimilar CT-P47 self-administration via auto-injector and pre-filled syringe in patients with rheumatoid arthritis: a single-arm, open-label, phase 3 study.
Expert Rev Clin Immunol
January 2025
Division of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Background: CT-P47 is a candidate tocilizumab biosimilar that is currently in clinical development. We assessed the usability of CT-P47 self-administration via auto-injector (AI) in patients with rheumatoid arthritis (RA).
Research Design And Methods: This was a 12-week, single-arm, open-label, multiple-dose, Phase 3 study.
A Mobile App for Promoting Breastfeeding-Friendly Communities in Hong Kong: Design and Development Study.
JMIR Form Res
January 2025
School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, 5/F, Academic Building, Pokfulam, Hong Kong, China (Hong Kong), 852 39176690.
Background: Breastfeeding is vital for the health and well-being of both mothers and infants, and it is crucial to create supportive environments that promote and maintain breastfeeding practices.
Objective: The objective of this paper was to describe the development of a breastfeeding-friendly app called "bfGPS" (HKU TALIC), which provides comprehensive territory-wide information on breastfeeding facilities in Hong Kong, with the goal of fostering a breastfeeding-friendly community.
Methods: The development of bfGPS can be categorized into three phases, which are (1) planning, prototype development, and preimplementation evaluation; (2) implementation and updates; and (3) usability evaluation.
A CNN-based self-supervised learning framework for small-sample near-infrared spectroscopy classification.
Anal Methods
January 2025
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Near-infrared (NIR) spectroscopy, with its advantages of non-destructive analysis, simple operation, and fast detection speed, has been widely applied in various fields. However, the effectiveness of current spectral analysis techniques still relies on complex preprocessing and feature selection of spectral data. While data-driven deep learning can automatically extract features from raw spectral data, it typically requires large amounts of labeled data for training, limiting its application in spectral analysis.
View Article and Find Full Text PDFChemerin loss-of-function attenuates glucagon-like peptide-1 secretion in exercised obese mice.
Diabetes Obes Metab
January 2025
School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai, China.
Aims: To investigate the role of chemerin reduction in mediating exercise-induced Glucagon-like peptide-1 (GLP-1) secretion and the amelioration of pancreatic β-cell function in obesity.
Materials And Methods: Obesity models were established using wild-type and chemerin systemic knockout mice, followed by 8 weeks of moderate-intensity continuous aerobic exercise training. Serum chemerin levels, GLP-1 synthesis, glucose tolerance, pancreatic β-cell function, structure, and apoptosis were assessed.
The Enzyme Effect: Broadening the Horizon of MS Optimization to Nontryptic Digestion in Proteomics.
J Am Soc Mass Spectrom
January 2025
MS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.
In recent years, alternative enzymes with varied specificities have gained importance in MS-based bottom-up proteomics, offering orthogonal information about biological samples and advantages in certain applications. However, most mass spectrometric workflows are optimized for tryptic digests. This raises the questions of whether enzyme specificity impacts mass spectrometry and if current methods for nontryptic digests are suboptimal.
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