Erosion landscape characterization in the Himalayan basin: insights from geospatial data and multi-criteria evaluation.

In regions characterized by mountainous landscapes, such as watersheds with high elevations, steep inclines, and rugged terrains, there exists an inherent susceptibility to water-induced soil erosion. This susceptibility underscores the importance of identifying areas prone to erosion to mitigate the loss of valuable natural resources and ensure their preservation over time. In response to this need, the current research employed a combination of four multi-criteria decision-making (MCDM) models, namely TOPSIS-AHP, VIKOR-AHP, ARAS-AHP, and CODAS-AHP, for the identification of areas susceptible to soil erosion within the Himalayan River basin of Nandakini, Uttarakhand, India.

A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data.

Landslides are frequent all over the world, posing serious threats to human life, infrastructure, and economic operations, making them chronic disasters. This study proposes a novel landslide detection methodology that is automated and based on a hybrid deep learning approach. Currently, Deep Learning is constrained by the lack of applicability, lack of data, and low efficiency in landslide detection but with recent advancement in deep learning-based solutions for landslide detection has sparked considerable advantages over traditional techniques.

Drought assessment through multiple indicators for Karnataka state, India.

Drought indices are imperative for determining the occurrence and impact of drought on crop production and society. Selecting appropriate indices to comprehensively assess the stress conditions is critical to analyze their effects on crops. The current study focuses on a comparative analysis of various indicators including the Standardized Precipitation Index (SPI), Standardized Water level Index (SWI), Standardized Reservoir Level Index (SRLI), Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), NDVI Anomaly, Vegetation Condition Index (VCI), and Evaporative Stress Index (ESI).

The Evolution of Carotid Surgery.

This review traces the evolution of carotid surgery from its ancient roots to modern practice. The first significant appreciation of the carotid arteries' role in cerebral ischemia was made by Johann Jakob Wepfer in his 1,658 book on apoplexy, which described the separate blood supply to each cerebral hemisphere by the carotid arteries. The 16th-19th centuries saw initial attempts at carotid ligation, while the 20th century marked significant advancements.

Transcatheter versus surgical valve replacement in patients with bicuspid aortic valves: an updated meta-analysis.

Patients with bicuspid aortic valves (BAV) are predisposed to the development of aortic stenosis. We performed a pairwise meta-analysis, comparing the efficacy of transcatheter aortic valve replacement (TAVR) versus surgical aortic valve replacement (SAVR) in patients with BAV. Medical databases were queried to pool comparative studies of interest.