Results 131 to 140 of about 146,303 (307)

Validation and Uncertainty Quantification of Transient Reflood Models Using COBRA-TF and Machine Learning Techniques Based on the NRC/PSU RBHT Benchmark

open access: yes
The accurate prediction of the fluid flow mass and the heat transfer process as well as the system response during reflood transients has long been a critical and challenging issue for reactor system safety analyses. Accurate characterization of the flow
Jin, Yue   +2 more
core   +1 more source

Functional full-term placentas formed from parthenogenetic embryos using serial nuclear transfer

open access: yes, 2010
Mammalian parthenogenetic embryos invariably die in mid-gestation from imprinted gene defects and placental hypoplasia. Based on chimera experiments, trophoblastic proliferation is supposed to be inhibited in the absence of a male genome.
Hiroshi Ohta   +3 more
core   +1 more source

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

open access: yesFEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source

Alpha-Transfer Reaction technique for nuclear magnetic moment measurements

open access: yes, 2019
In this work the α-transfer reactions mechanism is studied as a technique to populate medium-tolow spin states in nuclei that cannot be produced with enough intensity in the present radioactive beam facilities. Uses of the α-transfer population mechanism to measure g factor and lifetimes, with the Transient Field Technique and the Doppler Shift ...
openaire   +1 more source

Transfer Learning Neural Networks for Nuclear Forensic Image Morphology Using Image Splitting Techniques

open access: yesJournal of Chemometrics
ABSTRACT Manual morphological analysis of actinide particles from scanning electron microscope (SEM) imagery is a critical component of nuclear forensics but is prone to significant inter‐analyst variability. To address this challenge, this work develops and evaluates an automated classification method using deep learning.
Niko A. Petrocelli   +3 more
openaire   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Highly selective removal of U(VI) from aqueous solutions by porous nanomaterials

open access: yesEcoEnergy
With the fast development of nuclear energy peaceful utilization, large amounts of U(VI) are not only required to be extracted from solutions for sustainable nuclear fuel supply but also inevitably released into the environment to result in pollution ...
Yang Li, Suhua Wang, Xiangke Wang
doaj   +1 more source

Bridging multimodal microscopy for advanced characterization on nuclear fuel using machine learning

open access: yesFrontiers in Mechanical Engineering
Uranium dioxide (UO2), widely used as driver fuel in light water reactors, experiences microstructure and property change by nuclear fission reactions.
Haarika Manda   +10 more
doaj   +1 more source

Nuclear techniques using radioactive beams for biophysical studies

open access: yes, 2014
Perturbed angular correlation of "-rays (PAC) spectroscopy and nuclear magnetic resonance measured by !-decay (betaNMR) spectroscopy are two very sensitive and, among life-scientists, infrequently encountered nuclear techniques.
Stachura, Monika Kinga
core  

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan   +9 more
wiley   +1 more source

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