Results 111 to 120 of about 439,420 (307)
Remote SensingDisplacement back-analysis is a crucial approach to enhance the effectiveness of landslide monitoring data. To improve the computational efficiency and reliability of large-scale three-dimensional landslide displacement inversion, this study develops a ...
Yue Dai +5 more
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Data Science JournalSophisticated data-intensive approaches have been widely applied in addressing air pollution problems, with applications ranging from remote sensing quantification of ground-level concentrations of atmospheric pollutants to associating particulate matter
Kassim Mwitondi, Hugo Wai Leung Mak
doaj +1 more source
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 To meet the growing demand for detailed, precise, accurate and timely estimation of entrepreneurship and economic conditions, it is necessary to systematically extend the scope of information provided by business statistics.
Grażyna Dehnel
doaj +1 more source
Molecular Oncology, EarlyView.Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen +14 more
wiley +1 more source
M-Quantile Models for Small Area Estimation [PDF]
, 2005 Small area estimation techniques are employed when sample data are insufficient for acceptably precise direct estimation in domains of interest. These techniques typically rely on regression models that use both covariates and random effects to explain ...
Ray Chambers +4 more
core +1 more source
Robustness of Productivity Estimates
, 2004 Researchers interested in estimating productivity can choose from an array of methodologies, each with its strengths and weaknesses. Many methodologies are not very robust to measurement error in inputs. This is particularly troublesome, because fundamentally the objective of productivity measurement is to identify output differences that cannot be ...
openaire +2 more sources
Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
One-Step Robust Estimation of Fixed-Effects Panel Data Models
The panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity.
Cizek, P., Aquaro, M.
core
A contribution to adaptive robust estimation
, 1981 Includes bibliography.This study initially set out to consider the possibility of constructing an adaptive robust estimation procedure for the standard linear regression model when the disturbance vector deviated from normality, however, after the ...
Barr, Graham Douglas Irving
core