Results 81 to 90 of about 183,468 (342)
Study of some γ-ray attenuation parameters for new shielding materials composed of nano ZnO blended with high density polyethylene [PDF]
Nuclear Technology and Radiation Protection, 2019 The extensive utilization of radiation is rapidly developing worldwide involving abundant fields like medical, industrial, research, and nuclear facilities.
Alsayed Zainab +4 more
doaj +1 more source
Effects of Clumping on the Observed Properties of Dusty Galaxies
, 1999 We present Monte Carlo radiative transfer simulations for spiral galaxies modelled as a stellar disk and a two-phase clumpy dust distribution. We divide the volume occupied by the dust into a three-dimensional grid and assign each cell a clump or smooth ...
Alton, Paul +3 more
core +2 more sources
Advanced Functional Materials, EarlyView.A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
Results in Physics, 2017 The present investigation has been performed on different bricks for the purpose of gamma-ray shielding. The values of the mass attenuation coefficient (µ/ρ), energy absorption buildup factor (EABF) and exposure buildup factor (EBF) were determined and ...
M.I. Sayyed +5 more
doaj +1 more source
Acoustic Attenuation in Fans and Ducts by Vaporization of Liquid Droplets [PDF]
, 1975 A cloud of small water droplets in saturated air attenuates acoustic disturbances by viscous drag, heat transfer, and vapor exchange with the ambient gas. The viscous and heat transfer phenomena attenuate at frequencies above 104 Hz for I-J.l droplets.
Candel, Sebastien M., Marble, Frank E.
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Defence Technology, 2019 Different types of nuclear parameters and corrosion behavior were deduced for carbon steel (AISI 1018), austenitic (304 SS), and duplex (2507 SS) stainless steel alloys.
M.M. Sadawy, R.M. El Shazly
doaj +1 more source
The 3-Dimensional Distribution of Dust in NGC 891
, 2011 We produce three-dimensional Monte-Carlo radiative transfer models of the edge-on spiral galaxy NGC 891, a fast-rotating galaxy thought to be an analogue to the Milky Way. The models contain realistic spiral arms and a fractal distribution of clumpy dust.
Bershady, Matthew A. +2 more
core +1 more source
Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes
Advanced Functional Materials, EarlyView.This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin +7 more
wiley +1 more source
Measurement of Mass Attenuation Coefficients for Some Potassium Compounds
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 2019 In this study, the mass attenuation coefficients of some potassium compounds (KH 2 PO 4 , KNO 3 , K 2 S 2 O 8 , KOH, K 2 HPO 4 , K 2 SO 4 , KCl, KIO 3, and KI) have been measured by using Energy Dispersive X-ray Fluorescence Spectrometer (EDXRFS) and a high-resolution Si(Li) detector.
openaire +3 more sources