Global visibility for global health: Is it time for a new descriptor in Medical Subject Heading (MeSH) of MEDLINE/PubMed?

A systematic review of questionnaires used on oral health knowledge, attitude, ‎and practice in 12-year-olds

BACKGROUND AND AIM: National oral health knowledge, attitude, and practice (KAP) data among 12-year-old children need nation-wide programs to help promote oral health. In most countries, oral epidemiologic data are collected by self-administered structured questionnaires. The aim of this study was to undertake a systematic review of the existing literature about questionnaires used for analyzin...

New 2016 MeSH Addressing Information Gap, Poverty, Violence and Danger of Medicine Set the Tone for Policy-Makers in Patient Care

One Health and Zoonoses: The Evolution of One Health and Incorporation of Zoonoses

Introduction Zoonotic disease outbreaks have surged in the last two decades. These include severe acute respiratory syndrome (SARS), Hendra virus, Nipah virus, influenza viruses, Middle East Respiratory Syndrome (MERS) coronavirus, and ebola. One Health is the initiative of an inclusive collaboration linking human, animal, and environmental health. One Health is advocated through an intersector...

3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface

Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...

A novel Local feature descriptor using the Mercator projection for 3D object recognition

Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...