- a large-scale dataset of 3D medical shapes for computer vision.

Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).

Agrowaste-carbon and carbon-based nanocomposites for endocrine disruptive cationic dyes removal: A critical review.

Dyes are considered to be pollutants that pose a considerable worldwide health risk, as they have been discovered as agents that affect the endocrine system. Adsorption is the most commonly used method for removing different substances since it is sustainable, flexible, affordable, and easy to use. Researchers have investigated the usage of agro-waste-based adsorbents that are ecologically friendly for the process of adsorption.

Anterior Lumbar Interbody Fusion Versus Oblique Lumbar Interbody Fusion Versus Lateral Lumbar Interbody Fusion: Which One in Which Patient?

Anterolateral approaches to the lumbar spine provide direct access to the disc space. These techniques facilitate thorough discectomy, which is essential for successful arthrodesis. They improve segmental lordosis without osteotomy and indirectly decompress neural elements in carefully selected patients.

Comparative Analysis of the Protective Effect of Naringenin on Cardiovascular Parameters of Normotensive and Hypertensive Rats Subjected to the Myocardial Infarction Model.

Cardiovascular diseases rank as the top global cause of mortality, particularly acute myocardial infarction (MI). MI arises from the blockage of a coronary artery, which disrupts blood flow and results in tissue death. Among therapeutic approaches, bioactives from medicinal plants emerge as promising for the development of new medicines.

Factors affecting detection and estimation of SARS-CoV-2 RNA concentration of COVID-19 positive cases in wastewater influent: A systematic review.

Background: Wastewater Based Surveillance (WBS) has emerged as a novel monitoring tool for tracking and estimating the dissemination of the Novel Coronavirus Disease 2019 (COVID-19) within communities.

Objective: The goal of this review is to assess the factors that influence estimations of SARS-CoV-2 RNA concentration estimations in wastewater.

Methods: A literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) criteria in the electronic databases Scopus, PubMed, Google Scholar, and Medline.