Diabetes mellitus (DM) is a long-term metabolic disorder caused by inadequate production and resistance to insulin. The prevalence of DM is rapidly increasing, with type 2 diabetes (T2D) accounting for more than 90% of cases. Despite new treatments, many patients with T2D do not meet their glycemic targets due to clinical inertia.
View Article and Find Full Text PDFThe possible cardiovascular advantages of glucagon-like peptide-1 receptor agonists (GLP-1RAs), a class of drugs predominantly used to treat type 2 diabetes (T2D), have garnered increasing attention in recent years. Clinical trials have looked into the possibility that GLP-1RAs have extra cardioprotective benefits in addition to their ability to manage T2D, demonstrating significant major adverse cardiovascular events (MACE) reduction and a favorable safety profile. GLP-1 RAs improve cardiovascular outcomes, especially in those with existing cardiovascular disease.
View Article and Find Full Text PDFRecently, significant progress has been achieved in developing deep learning-based approaches for estimating depth maps from monocular images. However, many existing methods rely on content and structure information extracted from RGB photographs, which often results in inaccurate depth estimation, particularly for regions with low texture or occlusions. To overcome these limitations, we propose a novel method that exploits contextual semantic information to predict precise depth maps from monocular images.
View Article and Find Full Text PDFABSTRACT The genetic structure of field populations of begomoviruses and their whitefly vector Bemisia tabaci in Pakistan was analyzed. Begomoviruses and B. tabaci populations were sampled from different crops and weeds in different locations in Punjab and Sindh provinces, in areas where cotton leaf curl disease (CLCuD) occurs or does not occur.
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