Results 91 to 100 of about 20,298 (224)

Spacetime in the brain: rapid brain network reorganization in visual processing and recovery

Scientific Reports, 2021
Functional connectivity networks (FCN) are the physiological basis of brain synchronization to integrating neural activity. They are not rigid but can reorganize under pathological conditions or during mental or behavioral states. However, because mental
Zheng Wu, Bernhard A. Sabel
doaj   +1 more source

New Frontiers in EU Trade Policy: Moving Beyond Conventional Trade Agreements

Global Policy, EarlyView.
ABSTRACT As the rules‐based international trading system faces stagnation and increasing unilateralism, the European Union's trade policy must evolve beyond conventional free trade agreements (FTAs). This article examines recent trends in EU trade agreements, highlighting not only their expanded scope to include areas such as digital trade ...
Niall Moran
wiley   +1 more source

Fangchinoline, a Bisbenzylisoquinoline Alkaloid can Modulate Cytokine-Impelled Apoptosis via the Dual Regulation of NF-κB and AP-1 Pathways

Molecules, 2019
Fangchinoline (FCN) derived from Stephaniae tetrandrine S. Moore can be employed to treat fever, inflammation, rheumatism arthralgia, edema, dysuria, athlete’s foot, and swollen wet sores.
Young Yun Jung, Muthu K. Shanmugam, Arunachalam Chinnathambi, Sulaiman Ali Alharbi, Omar H.M. Shair, Jae-Young Um, Gautam Sethi, Kwang Seok Ahn   +7 more
doaj   +1 more source

Individual bird identification by modelling temporal structure in bioacoustic embeddings

Methods in Ecology and Evolution, EarlyView.
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego, Juan D. Martinez‐Vargas, José D. López   +2 more
wiley   +1 more source

Improving Fingerprint Pore Detection with a Small FCN

CoRR, 2018
In this work, we investigate if previously proposed CNNs for fingerprint pore detection overestimate the number of required model parameters for this task. We show that this is indeed the case by proposing a fully convolutional neural network that has significantly fewer parameters.
Gabriel Dahia, Maurício Pamplona Segundo   +1 more
openaire   +2 more sources

Data‐driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology

Brain Pathology, EarlyView.
We generated digital pathologic algorithms (AI‐based modules that can be freely shared) to: optimize the sampling (ROI) for diagnosis of ADNC‐related tau pathology; compare/transition between Aperio and HALO platforms; and rationalize severe Braak NFT staging, so that all Braak‐VI cases had dementia, and all Braak‐V cases had MCI or dementia.
Ryan K. Shahidehpour, Allison M. Neltner, Mitchell A. Klusty, Cole Corbett, Angelique D. Gonzalez, David A. Gutman, David W. Fardo, Adam D. Bachstetter, Cody Bumgardner, Margaret E. Flanagan, Peter T. Nelson   +10 more
wiley   +1 more source

Fast Detection of Ship Targets for Large-scale Remote Sensing Image Based on a Cascade Convolutional Neural Network

Leida xuebao, 2019
For the fast detection of ships in large-scale remote sensing images, a cascade convolutional neural network is proposed, which is a cascade combination of two Fully Convolutional Neural networks (FCNs), the target FCN for Prescreening (P-FCN), and the ...
CHEN Huiyuan, LIU Zeyu, GUO Weiwei, ZHANG Zenghui, YU Wenxian   +4 more
doaj   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Clustering of TAC results in the FCN-MR plane.

, 2016
A: output of the MR method for the training dataset. Reactions were identified by a consensus classification as either positive (●) or negative (■) and are plotted in the FCN-MR plane, showing the different localization of the two populations.
Eric Shain (3339669), Martin D. Curran (253808), Lydia Drumright (3339672), Donald Somasunderam (3339678), Luigi Marongiu (3339675), Reidun Lillestøl (3339681)   +5 more
core   +1 more source

Improving catheter segmentation & location in 3D cardiac ultrasound using direction-fused fcn [PDF]

, 2019
\u3cp\u3eFast and accurate catheter detection in cardiac catheterization using harmless 3D ultrasound (US) can improve the efficiency and outcome of the intervention.
Yang, H., Alexander F. Kolen, Peter H.N. de With, Shan, C., Kolen, Alexander F., Caifeng Shan, Kolen, Alexander F, Shan, C, Yang, H, de With, P.H.N., With, PHN Peter de, Hongxu Yang   +11 more
core   +2 more sources