Results 61 to 70 of about 243,877 (271)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Transparent UV‐Curable Self‐Sanitizing Coatings Applicable to Diverse Surfaces and High‐Touch Screens to Mitigate Deadly Pathogen Transmission

open access: yesAdvanced Functional Materials, EarlyView.
Development of a transparent, self‐sanitizing antimicrobial coating technology applicable to a wide range of materials and surfaces‐including touchscreens, transparent substrates, and metal, plastic, and glass‐regardless of pathogen type. The spray‐coated, UV‐cross‐linked imidazole‐based quaternary ammonium chloride materials provide broad‐spectrum ...
Surjith Kumaran   +6 more
wiley   +1 more source

Spatiotemporal Variations of Water Quality in the Zayandehrud River, Iran [PDF]

open access: yesIranian Journal of Chemistry & Chemical Engineering
Knowledge of the spatiotemporal variations of river contamination from surface water enhances management decisions. This study assessed water quality parameters from 2000 to 2020 in four seasons in the Zayandehrud River of Iran.
Mohammad Reza Fadaei Tehrani   +1 more
doaj   +1 more source

Classification of GLM Flashes Using Random Forests

open access: yesEarth and Space Science, 2021
[The Geostationary Lightning Mapper (GLM) detects total lightning continuously from space, and does not distinguish intra‐cloud (IC) from cloud‐to‐ground (CG) lightning. This research focuses on differentiating CG and IC lightning detected by GLM using a
Jacquelyn Ringhausen   +3 more
doaj   +1 more source

A Second-Order Unsplit Godunov Scheme for Cell-Centered MHD: the CTU-GLM scheme [PDF]

open access: yes, 2009
We assess the validity of a single step Godunov scheme for the solution of the magneto-hydrodynamics equations in more than one dimension. The scheme is second-order accurate and the temporal discretization is based on the dimensionally unsplit Corner ...
Mignone, A., Tzeferacos, P.
core   +2 more sources

POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes

open access: yesAdvanced Materials, EarlyView.
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez   +8 more
wiley   +1 more source

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

open access: yesRemote Sensing, 2020
Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri   +6 more
doaj   +1 more source

Impact of Paper Substrates and Storage Conditions on the Stability of Blood Grouping Assays

open access: yesAdvanced Materials Interfaces, EarlyView.
Four paper‐based blood grouping assays are constructed from cellulose and nitrocellulose, with vertical and lateral flow formats. The optimal storage conditions are determined based on temperature, antibody storage buffer composition, and antibody dilution.
Laura Marcela Rey Gomez   +4 more
wiley   +1 more source

glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models

open access: yesJournal of Statistical Software, 2010
We introduce glmulti, an R package for automated model selection and multi-model inference with glm and related functions. From a list of explanatory variables, the provided function glmulti builds all possible unique models involving these variables and,
Vincent Calcagno, Claire de Mazancourt
doaj  

Imaging haemodynamic changes related to seizures: comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG [PDF]

open access: yes, 2010
Background: Simultaneous EEG-fMRI can reveal haemodynamic changes associated with epileptic activity which may contribute to understanding seizure onset and propagation. Methods: Nine of 83 patients with focal epilepsy undergoing pre-surgical evaluation
Cannadathu, S.   +9 more
core  

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