Results 31 to 40 of about 1,271,540 (296)
Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 more
core +4 more sources
BMDExpress: a software tool for the benchmark dose analyses of genomic data
BMC Genomics, 2007 Background Dose-dependent processes are common within biological systems and include phenotypic changes following exposures to both endogenous and xenobiotic molecules. The use of microarray technology to explore the molecular signals that underlie these
Thomas Russell S +2 more
doaj +1 more source
Materials & Design, 2020 Few studies have examined the process dependence of the pressure–specific volume–temperature (pvT) behavior of polymers. Especially, the specific volume variation during heating is often ignored, but for certain processing techniques such as plastic ...
Jian Wang +4 more
doaj +1 more source
Applied Sciences, 2021 This article demonstrates the use of data mining methods for evidence-based smart decision support in quality control. The data were collected in a measurement campaign which provided a new and potential quality measurement approach for manufacturing ...
Henna Tiensuu +3 more
doaj +1 more source
Pharmaceutics, 2020 Although Raman spectroscopy has been described as a potential process analytical technique for tablet coating, it has rarely been transferred from academic studies to commercial manufacturing applications.
Juliana Radtke +2 more
doaj +1 more source
Density-dependence can be revealed by modelling the variance in the stock–recruitment process: an application to flatfish [PDF]
ICES Journal of Marine Science, 2014 AbstractRecruitment success in marine species is mostly driven by the high and variable mortality of first life stages, and the relationships between stock and recruitment are then largely dominated by residual variability. We show that analysing the residual variability may provide insights on the density-dependence process occurring during the ...
Archambault, Benoit +3 more
openaire +2 more sources
Application of Generalized Cauchy Process on Modeling the Long-Range Dependence and Self-Similarity of Sea Surface Chlorophyll Using 23 years of Remote Sensing Data [PDF]
Frontiers in Physics, 2021 Understanding the temporal characteristics of sea surface chlorophyll (SSC) is helpful for marine environmental management. This study chose 10 time series of remote daily sea surface chlorophyll products from the European Space Agency during the period from July 29, 1998 to December 31, 2020.
Junyu He, Junyu He
openaire +2 more sources
Waveguide physical modeling of vocal tract acoustics: flexible formant bandwidth control from increased model dimensionality [PDF]
, 2006 Digital waveguide physical modeling is often used as an efficient representation of acoustical resonators such as the human vocal tract. Building on the basic one-dimensional (1-D) Kelly-Lochbaum tract model, various speech synthesis techniques ...
Howard, D M, Mullen, J, Murphy, D T
core +1 more source
Review on the prediction of residual stress in welded steel components [PDF]
, 2020 Residual stress after welding has negative effects on the service life of welded steel components or structures. This work reviews three most commonly used methods for predicting residual stress, namely, empirical, semi-empirical and process simulation ...
Abdel Wahab, Magd +2 more
core +1 more source
Scientific Reports, 2022 This study introduces a novel platform to predict complex modulus variables as a function of the applied magnetic field and other imperative variables using machine learning.
Kasma Diana Saharuddin +8 more
doaj +1 more source