Results 71 to 80 of about 3,471 (207)

A Reconciled Satellite Record Reveals a Negative Low Cloud Feedback Over the Past 47 Years

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
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

Face Hallucination with Linear Regression Model in Semi-Orthogonal Multilinear PCA Method

Journal of Physics: Conference Series, 2018
In this paper, we propose a new face hallucination technique, face images reconstruction in HSV color space with a semi-orthogonal multilinear principal component analysis method. This novel hallucination technique can perform directly from tensors via tensor-to-vector projection by imposing the orthogonality constraint in only one mode.
openaire   +1 more source

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

On the equivalence between Total Least Squares and Maximum Likelihood PCA [PDF]

, 2005
The maximum likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Wentzell, P., Van Huffel, S., Peter D. Wentzell B, Schuermans, M., I. Markovsky A, M. Schuermans A, Markovsky, I., S. Van Huffel A   +7 more
core  

Multitarget Approach to Drug Candidates against Alzheimer’s Disease Related to AChE, SERT, BACE1 and GSK3β Protein Targets

Molecules, 2020
Alzheimer’s disease is a neurodegenerative condition for which currently there are no drugs that can cure its devastating impact on human brain function.
Larisa Ivanova, Mati Karelson, Dimitar A. Dobchev   +2 more
doaj   +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

The use of output-dependent data scaling with artificial neural networks and multilinear regression for modeling of ciprofloxacin removal from aqueous solution [PDF]

Journal of Water Reuse and Desalination, 2016
In this study, an experimental system entailing ciprofloxacin hydrochloride (CIP) removal from aqueous solution is modeled by using artificial neural networks (ANNs). For modeling of CIP removal from aqueous solution using bentonite and activated carbon, we utilized the combination of output-dependent data scaling (ODDS) with ANN, and the combination ...
Sakarya Üniversitesi/Adapazarı Meslek Yüksekokulu/Bilgisayar Teknolojileri Bölümü, Yurtsever, Ulaş, Esra Can Dogan, Nevim Genc, Yurtsever, Ulaş   +4 more
openaire   +4 more sources

Evaluating multilinear and machine learning regression methods for Satellite-derived Bathymetry mapping using ICESat-2 and Sentinel-2 data on Google Earth Engine [PDF]

, 2021
Information of the water depth in coastal areas is important for navigation, risk assessment, disaster mitigation, coastal environmental management, marine habitat monitoring, and many other activities.
Lee, Chengfa Benjamin, Traganos, Dimosthenis, Thomas, Nathan, Carpenter, Stephen, Pertiwi, Avi Putri   +4 more
core  

Modeling vegetation structure parameter bp for L-MEB models over agricultural sites

International Journal of Applied Earth Observations and Geoinformation
With a penetration capacity through vegetation, passive microwave provides an opportunity to estimate vegetation water content (VWC) through vegetation optical depth (VOD) and vegetation structure parameter bp.
Hui Zhang, Hongquan Wang, Zhibin Sun, Lun Gao, Yixiang Wang, Cheng Tong, Luyao Zhu, Zhou Shi   +7 more
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