Results 1 to 10 of about 9,245 (195)

Update to Trial Forge Guidance 2: addition of the Value of Information criterion. [PDF]

Trials
Gkekas A, Parker A, Treweek S, Coleman E, Arundel C, Shiely F.   +5 more
europepmc   +1 more source

Traditional knowledge and utilization of wild edible plants in Swat district, Pakistan: implications for nutrition and food security. [PDF]

J Ethnobiol Ethnomed
Ali S, Din S, Shah SA, Hussain W, Bussmann RW.   +4 more
europepmc   +1 more source

Modeling runoff, sediment yield and conservation measures using SWAT in Ajima catchment, Upper Blue Nile Basin, Ethiopia. [PDF]

Sci Rep
Hatiye SD, Tilahun TK, Edamo ML.
europepmc   +1 more source

Managing missing MUKEYs in the QSWAT+ SSURGO database. [PDF]

MethodsX
Tapas MR, Murumkar A, George C, Brandt B, Martin J.   +4 more
europepmc   +1 more source

COP9 signalosome is required for adipose tissue maintenance and metabolic health. [PDF]

J Lipid Res
Zhou H, Chakraborty S, Zhao X, Weintraub NL, Su H, Chen W.   +5 more
europepmc   +1 more source

A comprehensive overview of yeast libraries and their role in advancing cell biology. [PDF]

FEBS J
Baruch D, Schuldiner M, Klein O.
europepmc   +1 more source

From selection signatures in cattle to functional validation in mice: HSPA12B negatively regulates adipose browning and thermogenesis. [PDF]

J Anim Sci
Gao Y, Wang J, Jiang Q, Wang X, Ju Z, Yang C, Wei X, Zhang Y, Xiao Y, Huang J.   +9 more
europepmc   +1 more source

A framework to evaluate the applicability of ET products in the southeastern coastal basins of China. [PDF]

iScience
Chen J, Chen X, Yao H, Ruan W, Lin F, Deng H, Li X.   +6 more
europepmc   +1 more source

Understanding recruitment to a randomised controlled trial (RCT) during liver transplantation: an observational mixed-methods Study Within A Trial (SWAT). [PDF]

BMJ Open
Coppack KES, Kantsedikas I, Brodkin E, Loh EN, Ambler G, Moonesinghe SR, Fabes J, Hannon V, Spiro M, Wagstaff D.   +9 more
europepmc   +1 more source

STGAD: Self-temporal generative adversarial framework with transformer attention for unsupervised multivariate time-series anomaly detection and localization. [PDF]

PLoS One
Liao X, Deng W, Ma H, Mu Y.
europepmc   +1 more source