Results 61 to 70 of about 25,059,290 (251)

A Full Physical Strategy for Electrical Contacts on Laser‐Induced Graphene (LIG) Electrodes

Advanced Electronic Materials, EarlyView.
A fully dry fabrication strategy combining PVD and dual‐laser processing enables direct integration of laser‐induced graphene with metallic current collectors. Ultralow Au‐LIG contact resistance is achieved without binders, adhesives, or chemical treatments, while preserving electrochemical performance.
Davide Arcoraci, Simone Martellone, Michele Miceli, Davide Molino, Luigi Ribotta, Giulia Mossotti, Alessio Testa, Valentina Bertana, Luciano Scaltrito, Andrea Lamberti   +9 more
wiley   +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  

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

Advanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith, Atsushi Masumori, Norihiro Maruyama, Takahide Yoshida, Takashi Ikegami   +4 more
wiley   +1 more source

Persistent homology decomposition (PHD) for single-run model-free fMRI and its application to a task probing fluid intelligence

NeuroImage
Conventional linear analyses of task-evoked fMRI rely on group averaging and general linear model (GLM) with an assumed hemodynamic response function (HRF) to amplify weak BOLD signals. However, group-averaging obscures idiosyncratic brain responses, and
Ray Lee, Michael O’Boyle, Amy Garrett
doaj   +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

Non-Convex Penalized Estimation of Count Data Responses via Generalized Linear Model (GLM)

Asian Journal of Fuzzy and Applied Mathematics, 2020
This study provided a non-convex penalized estimation procedure via Smoothed Clipped Absolute Deviation (SCAD) and Minimax Concave Penalty (MCP) for count data responses to checkmate the problem of covariates exceeding the sample size . The Generalized Linear Model (GLM) approach was adopted in obtaining the penalized functions needed by the MCP and ...
Rasaki Olawale Olanrewaju, Johnson Funminiyi Ojo   +1 more
openaire   +2 more sources

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

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

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

MET and AKT genetic influence on facial emotion perception. [PDF]

PLoS ONE, 2012
BackgroundFacial emotion perception is a major social skill, but its molecular signal pathway remains unclear. The MET/AKT cascade affects neurodevelopment in general populations and face recognition in patients with autism.
Ming-Teng Lin, Kuo-Hao Huang, Chieh-Liang Huang, Yu-Jhen Huang, Guochuan E Tsai, Hsien-Yuan Lane   +5 more
doaj   +1 more source