Results 141 to 150 of about 939,708 (316)
Estimation of the Scale Parameter from the Rayleigh Distribution [PDF]
The Egyptian Statistical Journal, 1972 Abdul Samad Hirai
doaj +1 more source
Loss functions, utility functions and Bayesian sample size determination.
, 2011 PhDThis thesis consists of two parts. The purpose of the first part of the research is to obtain Bayesian sample size determination (SSD) using loss or utility function with a linear cost function. A number of researchers have studied the Bayesian SSD
Islam, A F M Saiful +1 more
core
FEBS Open Bio, EarlyView.The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley +1 more source
The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool.
Pislaru, Crinela
core
Uniform asymptotics for robust location estimates when the scale is unknown [PDF]
Most asymptotic results for robust estimates rely on regularity conditions that are difficult to verify and that real data sets rarely satisfy. Moreover, these results apply to fixed distribution functions.
Ruben H. Zamar, Matias Salibian-Barrera
core
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models
Geophysical Research LettersHydrogeologic models generally require gridded subsurface properties, however these inputs are often difficult to obtain and highly uncertain. Parametrizing computationally expensive models where extensive calibration is computationally infeasible is a ...
Amanda Triplett +4 more
doaj +1 more source
, 2003 The use of hierarchical generalized linear modeling (HGLM) in social science research is becoming increasingly popular when dealing with nested data (Cheong & Raudenbush, 2000).
Williams, Natasha Jayne
core
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source