Results 81 to 90 of about 1,340,583 (310)
Choroid Plexus Enlargement and USPIO‐Based Inflammatory Feature in Cerebral Small Vessel Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The choroid plexus (CP) is a key component of the blood–cerebrospinal fluid barrier (BCSFB), but its mechanism of action in cerebral small vessel disease (CSVD) remains unclear. This study investigated CP volume (CPV) alterations and their association with conventional imaging markers in CSVD and explored the underlying role of ...
Yongqiang Qu +11 more
wiley +1 more source
Iron Reduces M1 Macrophage Polarization in RAW264.7 Macrophages Associated with Inhibition of STAT1
Mediators of Inflammation, 2017 Iron metabolism in inflammation has been mostly characterized in macrophages exposed to pathogens or inflammatory conditions. The aim of this study is to investigate the cross-regulatory interactions between M1 macrophage polarization and iron metabolism.
Zhen-Shun Gan +5 more
doaj +1 more source
mBio, 2014 Pseudomonas aeruginosa strains of non-cystic fibrosis (non-CF) origin do not produce significant amounts of extracellular alginate and are nonmucoid. In CF, such isolates can become mucoid through mutation of one of the genes (mucA, mucB, mucC, or mucD ...
Jacinta R. Wiens +3 more
doaj +1 more source
QUARTERLY ECONOMETRIC MODEL AND FORECASTS OF THE MINNESOTA AND U.S. IRON MINING INDUSTRY [PDF]
The Report projects quarterly production and stock levels for the Minnesota and U.S. iron mining industry to the year 2000. Projections of Minnesota's iron industry employment are subsequently derived from the production forecasts. Ordinary least squares
Lyche, Harald C., Maki, Wilbur R.
core +1 more source
Plant community structure mediates potential methane production and potential iron reduction in wetland mesocosms. [PDF]
, 2013 Wetlands are the largest natural source of methane to the atmosphere, but factors controlling methane emissions from wetlands are a major source of uncertainty in greenhouse gas budgets and projections of future climate change.
Andrews, Sarah E. +5 more
core +2 more sources
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Competitive pressure and labor productivity: world iron ore markets in the 1980s [PDF]
Does the extent of competitive pressure industries face influence their productivity? We study a natural experiment conducted in the iron ore industry as a result of the collapse in world steel production in the early 1980s. For iron ore producers, whose
James A. Schmitz, Jr. +1 more
core
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Den tidligste jernfremstillingen i Norge
VikingThe introduction of iron in Norway has long been a subject of discussions. Although there are examples of objects made of or containing iron, from the beginning of the Pre-Roman Iron Age, these have often been interpreted as imports.
Kjetil Loftsgarden +2 more
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source