Results 41 to 50 of about 56,744 (172)

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model

International Journal of Digital Earth, 2019
The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications.
Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó   +4 more
doaj   +1 more source

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

Advanced 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, Sumin Han, Euna Oh, Chunghee Jo, Hyerin Shin, Dae‐Hong Ko, Hyo‐Jick Choi   +6 more
wiley   +1 more source

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

Advanced 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, Melanie Guillén‐Soler, Carlos Herreros‐Lucas, Alejandro López‐Moreno, José Manuel Vila‐Fungueiriño, Antonio Luis Llamas‐Saiz, Karol Strutyński, Manuel Melle‐Franco, María del Carmen Giménez‐López   +8 more
wiley   +1 more source

autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data

Frontiers in Neuroimaging, 2022
The analysis of task-related fMRI data at the level of individual participants is commonly based on general linear modeling (GLM), which allows us to estimate the extent to which the BOLD signal can be explained by the task response predictors specified ...
Nina Purg, Jure Demšar, Jure Demšar, Alan Anticevic, Alan Anticevic, Grega Repovš   +5 more
doaj   +1 more source

Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data

Ecological Informatics, 2011
Abstract Species-occurrence data sets tend to contain a large proportion of zero values, i.e., absence values (zero-inflated). Statistical inference using such data sets is likely to be inefficient or lead to incorrect conclusions unless the data are treated carefully. In this study, we propose a new modeling method to overcome the problems caused by
Takeshi Osawa, Hiromune Mitsuhashi, Yuta Uematsu, Atushi Ushimaru   +3 more
openaire   +1 more source

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

Advanced 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, David William Inglis, Andrew Care, Yuling Wang, Rena Hirani   +4 more
wiley   +1 more source

Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach

Frontiers in Human Neuroscience, 2011
Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a General Linear Model (GLM) approach to separate stimulus induced signals ...
Martin M Monti
doaj   +1 more source

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images

Sensors, 2020
Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest ...
Jiangping Long, Hui Lin, Guangxing Wang, Hua Sun, Enping Yan   +4 more
doaj   +1 more source

Adapting the Insurance Pricing Model for Distribution Channel Expansion Using the Bayesian Generalized Linear Model [PDF]

Operations Research and Decisions
The insurance market is changing due to new distribution channels, requiring insurers to update their pricing models. We propose a mathematical approach using Bayesian generalized linear models (GLM) to adjust insurance pricing. Our strategy modifies the
Carina Gunawan, Muhamad Ivan Faizal, Nanang Susyanto   +2 more
doaj  

Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features

Frontiers in Human Neuroscience, 2013
The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion.
Pamela eDouglas, Edward eLau, Ariana eAnderson, Wesley eKerr, Austin eHead, Margalit Aliza Wollner, Daniel eMoyer, Michael eDurnhofer, Wei eLi, Jen eBramen, Mark S Cohen   +10 more
doaj   +1 more source