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A Comprehensive Understanding of Tea Metabolome: From Tea Plants to Processed Teas.
Annu Rev Food Sci Technol
January 2025
4Division of Food and Nutrition, Chonnam National University, Gwangju, Republic of Korea; email:
Tea () is one of the most popular nonalcoholic beverages in the world, second only to water. Six main types of teas are produced globally: green, white, black, oolong, yellow, and Pu-erh. Each type has a distinctive taste, quality, and cultural significance.
View Article and Find Full Text PDFMultiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.
ACS Sens
January 2025
Department of Physics and Astronomy, Franklin College of Arts and Sciences, The University of Georgia, Athens, Georgia 30602, United States.
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.
View Article and Find Full Text PDFDetecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study.
J Med Internet Res
January 2025
Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences, Oklahoma City, OK, United States.
Background: Social behavioral research studies have increasingly shifted to remote recruitment and enrollment procedures. This shifting landscape necessitates evolving best practices to help mitigate the negative impacts of deceptive attempts (eg, fake profiles and bots) at enrolling in behavioral research.
Objective: This study aimed to develop and implement robust deception detection procedures during the enrollment period of a remotely conducted randomized controlled trial.
DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.
J Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
View Article and Find Full Text PDFA Sneaky Culprit: Secondary Infectious Keratitis Due to Brevundimonas diminuta.
Eye Contact Lens
January 2025
Medical College of Wisconsin, Milwaukee, WI.
Purpose: To describe a rare case of infectious keratitis secondary to Brevundimonas diminuta, a gram-negative bacillus with fluoroquinolone resistance and rare clinical isolation.
Methods: A 50-year-old man with contact lens overuse presented with a large corneal ulcer and hand motion visual acuity. Initial treatment with fortified topical tobramycin and vancomycin yielded slow improvement, and initial culture grew Staphylococcus epidermidis, Staphylococcus hominis, and Corynebacterium bovis.
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