Results 71 to 80 of about 1,735,832 (325)
The bifactor model is a widely applied model to analyze general and specific abilities. Extensions of bifactor models additionally include criterion variables.
Michael Eid +3 more
doaj +1 more source
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson +7 more
wiley +1 more source
Site-specific height-diameter and stem volume equations for Lebombo-ironwood
Height–diameter (H–D) and stem volume equations are indispensable tools for forest management and have a wide use in forestry, however they are lacking for Lebombo-ironwood.
Tarquinio Mateus Magalhães
doaj +1 more source
Variable Selection in Regression Model with AR(p) Error Terms Based on Heavy Tailed Distributions [PDF]
Yetkin Tuaç, Olçay Arslan
openalex +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Climate model trend errors are evident in seasonal forecasts at short leads
Climate models exhibit errors in their simulation of historical trends of variables including sea surface temperature, winds, and precipitation, with important implications for regional and global climate projections.
Jonathan D. Beverley +2 more
doaj +1 more source
Improving dynamical climate predictions with machine learning: insights from a twin experiment framework [PDF]
Systematic errors in dynamical climate models remain a significant challenge to accurate climate predictions, particularly when modeling the nonlinear coupling between the atmosphere and ocean.
Z. He +8 more
doaj +1 more source
Efficient Estimation in the Errors in Variables Model
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bickel, P. J., Ritov, Y.
openaire +3 more sources
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Simple estimators for dynamic panel data models with errors in variables [PDF]
Estimation;Panel ...
Kapteyn, A.J., Wansbeek, T.J.
core +1 more source

