Aluminum-air batteries: current advances and promises with future directions.

Owing to their attractive energy density of about 8.1 kW h kg and specific capacity of about 2.9 A h g, aluminum-air (Al-air) batteries have become the focus of research.

An investigation of luminescence properties of CaF: Dy nanophosphor irradiated with gamma rays and low energy proton beams.

This paper reports the luminescence properties of nanocrystalline calcium fluoride doped with dysprosium (CaF: Dy). The nanophosphor has been synthesized by the chemical co-precipitation technique and the dopant concentration has been optimized at 0.3 mol% using thermoluminescence (TL) intensity emitted post 50Gy gamma dose irradiation of samples doped with different dopant concentrations.

Social media, vaccine hesitancy and trust deficit in immunization programs: a qualitative enquiry in Malappuram District of Kerala, India.

Background: With increased penetration of the internet and social media, there are concerns regarding its negative role in influencing parents' decisions regarding vaccination for their children. It is perceived that a mix of religious reasons and propaganda by anti-vaccination groups on social media are lowering the vaccination coverage in Malappuram district of Kerala. We undertook a qualitative study to understand the factors responsible for generating and perpetuating vaccine hesitancy, the pathways of trust deficit in immunization programs and the interaction between various social media actors.

Luminescence properties of tricalcium phosphate doped with dysprosium.

Tricalcium phosphate having effective atomic number Z = 15.785, equivalent to that of bones was studied for its thermoluminescence (TL) and photoluminescence (PL) properties. Different samples with varied concentrations of the dopant Dy (0.

Feasibility of generating synthetic CT from T1-weighted MRI using a linear mixed-effects regression model.

Generation of synthetic computed tomography (sCT) for magnetic resonance imaging (MRI)-only radiotherapy is emerging as a promising direction because it can eliminate the registration error and simplify clinical workflow. The goal of this study was to generate accurate sCT from standard T1-weighted MRI for brain patients. CT and MRI data of twelve patients with brain tumors were retrospectively collected.