Results 81 to 90 of about 8,395,195 (223)

Multilinear-logistic-regressions to predict patient discharge destination.

, 2023
Multilinear-logistic-regressions to predict patient discharge destination.
Maite K. Cordero (15909861), Elizabeth R. Felix (11871431), Cheryl Miller (8211654), Doug Johnson-Greene (15909858), Stacy A. Thomashaw (15909864), David S. Kushner (15909855)   +5 more
core   +1 more source

The use of activated carbon derived from spent coffee grounds as a reusable, sustainable, and effective solution for the removal of butylparaben from water

Journal of Chemical Technology &Biotechnology, Volume 101, Issue 8, Page 1547-1558, August 2026.
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, Diane Scapin, Gideã Taques Tractz, Flávia Aparecida Reitz Cardoso, Lúcio Cardozo‐Filho, Alessandro Francisco Martins, Diógenes Vedoy, Ana Paula Peron, Osvaldo Valarini Junior   +8 more
wiley   +1 more source

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

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

Diagnostic Value of Glycocalyx Shedding in Blood for Differentiating between Parkinson's Disease and Multiple System Atrophy

Movement Disorders, Volume 41, Issue 8, Page 2184-2188, August 2026.
Abstract Background Blood–brain barrier disruption is increasingly recognized in synucleinopathies, but the role of the endothelial glycocalyx (GLX) in Parkinson's disease (PD) and multiple system atrophy (MSA) remains unclear. Objectives The aim was to determine whether plasma GLX markers differ between PD, MSA, and healthy controls (HC), relate to ...
Jonas Folke, Brian DellaValle, Mathias Lindh Jørgensen, Phillip Bredahl Mogensen, Casper Hempel, Jørgen Rungby, Anne‐Mette Hejl, Annemette Løkkegaard, Lisette Salvesen, Sara Bech, Mette Møller, Erik Hvid Danielsen, Morten Blaabjerg, Matthias Bode, Tomasz Brudek, Susana Aznar   +15 more
wiley   +1 more source

Efficient quantile regression for heteroscedastic models [PDF]

, 2015
Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al.
MacEachern, Steve N,, Lee, Yoonkyung, Jung, Yoonsuh, Steven N. Maceachern, MacEachern, Steven N., Yoonsuh Jung, Yoonkyung Lee, Yoonsuh Jung (111157), Yoonkyung Lee (643212), Steven N. MacEachern (638105)   +9 more
core   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
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, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Locally Adaptive Function Estimation for Binary Regression Models [PDF]

, 2003
In this paper we present a nonparametric Bayesian approach for fitting unsmooth or highly oscillating functions in regression models with binary responses. The approach extends previous work by Lang et al. (2002) for Gaussian responses.
Jerak, A., Jerak, Alexander, Lang, S., Lang, Stefan   +3 more
core   +1 more source

Predicting Geomagnetic Activity in the Ascending and Declining Phases of the Solar Cycle

Space Weather, Volume 24, Issue 8, August 2026.
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, Timo Asikainen, Kalevi Mursula   +2 more
wiley   +1 more source

Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT)

Space Weather, 2020
The Space Weather Forecast Testbed (SWFT) is developed by a team of space weather scientists and mathematicians at the University of Southern California (USC) and Jet Propulsion Laboratory (JPL) to foster the creation of models for space weather forecast
Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci   +5 more
doaj   +1 more source