Results 81 to 90 of about 2,313,531 (211)
On Bayesian inference with conjugate priors for scale mixtures of normal distributions [PDF]
Bayesian inference is considered for the multivariate regression model with distribution of the random responses belonging to the multivariate scale mixtures of normal distributions.
Ng, V.M.
core
Multilinear isometries on function algebras [PDF]
Let be function algebras (or more generally, dense subspaces of uniformly closed function algebras) on locally compact Hausdorff spaces , respectively, and let Z be a locally compact Hausdorff space.
Font, Juan J. +2 more
core +1 more source
Abstract BACKGROUND Parabens, including butylparaben (BP), are widely used as antimicrobial preservatives in food, cosmetics, and pharmaceuticals, yet are poorly removed by conventional water treatment processes and pose potential risks to aquatic life and human health.
Lorena Maihury Santos Tsubouchi +8 more
wiley +1 more source
Quasi completely continuous multilinear operators [PDF]
We introduce the concept of quasi-completely continuous multilinear operators and use this concept to characterize, for a wide class of Banach spaces X1, …, Xk, the multilinear operators T : X1 × … × Xk → X with an X-valued Aron–Berner extension.I+D ...
Peralta Pereira, Antonio Miguel +3 more
core +1 more source
The free radical scavenging activity of benzofuran Schiff base and thiazolidinone derivatives has been investigated using the density functional theory (DFT) calculations. Three primary mechanisms were developed: sequential proton loss electron transfer
Fella Ati +3 more
doaj +1 more source
Exploring Regression Models: Applications and Purposes of Linear, Logistic, and Polynomial Approaches in Engineering and Technologies [PDF]
Regression analysis is a vital data-driven technique for examining variable relationships and predicting outcomes. It allows researchers to identify how independent variables influence a dependent variable, enabling predictions, trend analysis, and ...
Nair Anjali, Shende Priti C.
doaj +1 more source
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah +2 more
wiley +1 more source
Predicting Geomagnetic Activity in the Ascending and Declining Phases of the Solar Cycle
Abstract Most predictions of space climate, that is, the long‐term behavior of the solar‐terrestrial environment, have focused on forecasting the 11‐year sunspot cycle. Geomagnetic activity, on the other hand, has mainly been predicted in shorter, space weather timescales of up to days to weeks.
Timo Qvick +2 more
wiley +1 more source
A Reconciled Satellite Record Reveals a Negative Low Cloud Feedback Over the Past 47 Years
Abstract Low‐cloud feedback continues to dominate uncertainty in climate sensitivity, with no direct observational estimate to date. Here we provide the first such estimate by combining satellite and reanalysis data sets within a cloud‐controlling factor (CCF) framework.
Gregory V. Cesana, Assia Arouf
wiley +1 more source
Abstract BACKGROUND Selecting an optimal chromatography resin during biopharmaceutical downstream process development is a great challenge. This is especially the case for recombinant subunit vaccines, where product properties vary greatly and recovery often involves cell lysis, which yields a complex mixture of different host cell materials. Host cell
Tim Neijenhuis +4 more
wiley +1 more source

