Results 221 to 230 of about 167,633 (316)
Structural insights into the mosaic and modular organization of fourteen co-occurring resistance genes in multidrug resistant Enterobacteriaceae. [PDF]
Rossel CAJ +3 more
europepmc +1 more source
Abstract figure legend Drug transporters P‐glycoprotein (P‐gp) and breast cancer resistance protein (BCRP) at the blood–brain barrier (BBB) protect the rapidly developing fetal brain. We investigated the role of microRNA‐145‐5p (miR‐145‐5p) microRNA (miRNA) in regulating these key transporters in primary human fetal brain endothelial cells in vitro. We
Phetcharawan Lye +5 more
wiley +1 more source
Abdominal aortic calcification as an opportunistic marker of reduced CT-derived vertebral bone density in osteoporotic vertebral fractures. [PDF]
Bekele BM, Vala S, Moritz I, Ryang YM.
europepmc +1 more source
Abstract Glucosinolates (GLS) in Brassicaceae crops are known to suppress soil nitrification. Despite widespread inclusion of Brassicaceae species in pulse crop rotations, their effects on soil nitrification and root nodulation of subsequent pulse crops are poorly understood.
Piumi N. Gallage +3 more
wiley +1 more source
Exercise-induced adipose tissue ADRB2-PGC1α-FGF21 signaling protects against pathological cardiac hypertrophy. [PDF]
Tan F +6 more
europepmc +1 more source
Reptadeonella Busk, 1884, is one of the most common bryozoan genera reported from warm waters across all oceans and is currently represented by 29 species. Almost half of this diversity has been described in the past 10 years, including the recognition of 12 new species and documentation of morphological variations.
Luana C. Cruz +3 more
wiley +1 more source
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison +4 more
wiley +1 more source
DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection. [PDF]
Shen Y, Shi R, Song K, Li Y.
europepmc +1 more source

