Results 61 to 70 of about 3,980 (174)

Using generalized quantitative structure–property relationship (QSPR) models to predict host cell protein retention in ion‐exchange chromatography

Journal of Chemical Technology &Biotechnology, Volume 101, Issue 7, Page 1420-1428, July 2026.
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, Olivier Le Bussy, Geoffroy Geldhof, Marieke E Klijn, Marcel Ottens   +4 more
wiley   +1 more source

Explaining the Equatorial Pacific Thermocline Response to Climate Change With a Model Hierarchy

Journal of Geophysical Research: Oceans, Volume 131, Issue 7, July 2026.
Abstract Most studies of the equatorial Pacific response to anthropogenic forcing have focused on patterns of sea surface temperature (SST) change. However, similar SST patterns can be consistent with a range of different subsurface responses, each with differing physical and biogeochemical implications.
Matthew T. Luongo, Shang‐Ping Xie, Ian Eisenman, Shantong Sun, Kyle C. Armour   +4 more
wiley   +1 more source

Radical Scavenging Activity: DFT and Multilinear Regression Studies of Benzofuran-1,3-thiazolidin-4-one Derivatives

Acta Chimica Slovenica
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, Soraya Abtouche, Boubekeur Maouche, Meziane Brahimi   +3 more
doaj   +1 more source

Exploring Regression Models: Applications and Purposes of Linear, Logistic, and Polynomial Approaches in Engineering and Technologies [PDF]

EPJ Web of Conferences
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

Temporal Evolution of Coastal Cliffs From Weekly to Interannual Timescales

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 7, July 2026.
Abstract A 7‐year coastal cliff erosion record, developed from 320 ∼weekly LiDAR surveys of a 2.3 km‐long cliff in southern California, is used to examine the cliff geomorphological response to the variability of environmental forcing (water level, waves, rain, and groundwater) from weekly to interannual timescales at different cliff elevations.
Raphael L. Krier‐Mariani, Adam P. Young, William C. O'Reilly, Connor Mack, Matthew Maclay, Hironori Matsumoto   +5 more
wiley   +1 more source

Fall Soil Moisture Modulates Snow‐Streamflow Dynamics in the Colorado River Basin

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract The Colorado River Basin (CRB) has experienced a prolonged drought since 2000, with recent years showing a weakened relationship between snowpack conditions and streamflow. In this study, we examined the roles of fall soil moisture and spring weather on modulating snow‐streamflow dynamics in the CRB and its sub‐basins.
Swastik Ghimire, Enrique R. Vivoni, Zhaocheng Wang   +2 more
wiley   +1 more source

Bayesian Calibration of a Large‐Eddy Resolving Model Towards Campaign Measurements With an Ensemble Kalman Smoother

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract Large‐eddy simulations (LES) are commonly employed to study small‐scale weather phenomena and to validate coarser models. Like larger‐scale weather and climate models, they contain weakly constrained parameters and use physical inputs with associated uncertainties, such as initial conditions or forcing. This study assesses the viability of the
D. Grund, S. Schemm
wiley   +1 more source

Performance of DRNNAGE for macroscopic age‐at‐death estimation in contemporary Brazilian identified skeletons

Journal of Forensic Sciences, Volume 71, Issue 4, Page 1556-1567, July 2026.
Abstract In global forensic literature, methods for estimating age in young individuals are more commonly addressed than those applicable to adults. This trend is also evident in Brazil. This study aimed to evaluate the performance of the DRNNAGE software for age estimation in Brazilian identified human skeletons. The sample consisted of 400 skeletons (
André Marquim Nogueira da Fonte Cornélio, David Senhora Navega, Marcus Vitor Diniz de Carvalho, Tatyane dos Santos Ferreira, Carolina Peixoto Magalhães, Eugénia Cunha, Evelyne Soriano   +6 more
wiley   +1 more source

Decarbonizing Food Processing Waste: Integrated Chemometric Modeling of Hydrochar Fuel Properties From Sunflower Seed Husks

Journal of Food Process Engineering, Volume 49, Issue 7, July 2026.
In this study, an integrated approach linking hydrothermal carbonization process (HTC) process parameters with structural and physicochemical characteristics via advanced multivariate statistical methods was presented. FTIR‐derived information was integrated with proximate analysis features, and principal component analysis (PCA) and partial least ...
Gamze Goktepeli, Merve Kalem, Kiraz Ulutas   +2 more
wiley   +1 more source

Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models

Journal of Time Series Analysis, Volume 47, Issue 4, Page 876-884, July 2026.
ABSTRACT We consider the problem of exact maximum likelihood estimation of potentially high‐order (p>50) autoregressive models. We propose an extremely fast coordinate‐wise algorithm for fitting autoregressive models. This fast algorithm exploits several properties of the negative log‐likelihood when parameterised in terms of partial autocorrelations ...
Daniel F. Schmidt, Enes Makalic
wiley   +1 more source