Bacteria develop resistance against antimicrobial drugs, and new remediations are constantly being introduced in the market.Silver and its compounds have Coats strong resistance against different bacteria.The vegetable waste extract-synthesized silver nanoparticles (VWE-AgNPs) have distinct properties and potential applications because of their uni
Use of emerging technologies to assess differences in outdoor physical activity in St. Louis, Missouri
IntroductionAbundant evidence shows that regular physical activity (PA) is an effective strategy for preventing obesity in people of diverse socioeconomic status (SES) and race groups.The proportion of PA performed in parks and how this differs by proximate neighborhood SES has not been thoroughly investigated.The present project analyzes online pu
Sclerostin is involved in osteogenic transdifferentiation of vascular smooth muscle cells in chronic kidney disease-associated vascular calcification with non-canonical Wnt signaling
Vascular calcification is prominent in patients with chronic kidney disease (CKD) and is a strong predictor of cardiovascular mortality in the CKD population.However, the mechanism underlying CKD-associated vascular calcification remains unclear.To identify potential therapeutic targets, a 5/6 nephrectomy rat model was established by feeding of a h
Hurricane Maria in the U.S. Caribbean: Disturbance Forces, Variation of Effects, and Implications for Future Storms
The impact of Hurricane Maria on the U.S.Caribbean was used to study the causes of remotely-sensed spatial variation in the effects of (1) vegetation index loss and (2) landslide occurrence.The vegetation index is a measure of canopy ‘greenness’, a combination of leaf chlorophyll, leaf area, canopy cover and structure.A generalized line
Text Embedding Augmentation Based on Retraining With Pseudo-Labeled Adversarial Embedding
Pre-trained language models (LMs) have been shown to achieve outstanding performance in various natural language processing tasks; however, these models have a significantly large number of parameters to handle large-scale text corpora during the pre-training process, and thus, they entail the risk of overfitting when fine-tuning for small task-ori