Results 51 to 60 of about 4,920,547 (298)
Diagnosis of Pulmonary Embolism in Unenhanced Dual Energy CT Using an Electron Density Image
Diagnostics, 2021 Dual-energy computed tomography (CT) is a promising tool, providing both anatomical information and material properties. Using spectral information such as iodine mapping and virtual monoenergetic reconstruction, dual-energy CT showed added value over ...
Kyungsoo Bae, Kyung-Nyeo Jeon
doaj +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Voyager VLISM Electron Density Dataset
The Astrophysical Journal Supplement SeriesThis paper is a companion to an electron density dataset submitted to both the Planetary Data System and the Space Physics Data Facility for measurements by the Voyager Plasma Wave Science (PWS) instrument in the very local interstellar medium.
W. S. Kurth, L. J. Granroth, J. B. Faden
doaj +1 more source
Artificial Ducts Created via High-Power HF Radio Waves at EISCAT
Remote Sensing, 2023 Ducts (field-aligned plasma density enhancements) provide a link into the magnetosphere and can guide whistler waves. Inside ducts, wave-particle interactions occur efficiently; therefore, their presence contributes to the removal of energetic particles ...
Nataly F. Blagoveshchenskaya +3 more
doaj +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
The Apparent Behavior of Electron Density during an Alternating O/X-Mode Heating Experiment
Universe, 2021 We present the observations of the artificial ionospheric modification experiment of EISCAT on 18 October 2012 in Tromsø, Norway. When the pump of alternating O mode and X mode is switched on, the UHF radar observation shows some strong enhancements in ...
Zeyun Li +3 more
doaj +1 more source
FEBS Letters, EarlyView.Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas +4 more
wiley +1 more source
The Uppsala Electron-Density Server [PDF]
Acta Crystallographica Section D Biological Crystallography, 2004 The Uppsala Electron Density Server (EDS; http://eds.bmc.uu.se/) is a web-based facility that provides access to electron-density maps and statistics concerning the fit of crystal structures and their maps. Maps are available for approximately 87% of the crystallographic Protein Data Bank (PDB) entries for which structure factors have been deposited ...
Gerard J, Kleywegt +5 more
openaire +2 more sources
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Nanosecond MD of battery cathode materials with electron density description [PDF]
, 2023 Potentials derived with machine learning algorithms achieve the accuracy of high-fidelity quantum mechanical computations such as density functional theory (DFT), while allowing orders of magnitude lower computational time.
Peter Bjørn, Jørgensen +3 more
core +1 more source