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Refinado por: Base de dados/Biblioteca: AUC Wiley Frozen Package in 2012 remover Base de dados/Biblioteca: RCN full-text journals@Ovid remover Base de dados/Biblioteca: Wiley Online Library All Journals remover
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1
Disrupted network architecture of the resting brain in attention-deficit/hyperactivity disorder
Disrupted network architecture of the resting brain in attention-deficit/hyperactivity disorder
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Disrupted network architecture of the resting brain in attention-deficit/hyperactivity disorder

Sripada, Chandra ; Kessler, Daniel ; Fang, Yu ; Welsh, Robert C. ; Prem Kumar, Krishan ; Angstadt, Michael

Human brain mapping, 2014-09, Vol.35 (9), p.4693-4705 [Periódico revisado por pares]

New York, NY: Blackwell Publishing Ltd

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2
Network architecture and sex chromosome turnovers: Do epistatic interactions shape patterns of sex chromosome replacement?
Network architecture and sex chromosome turnovers: Do epistatic interactions shape patterns of sex chromosome replacement?
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Network architecture and sex chromosome turnovers: Do epistatic interactions shape patterns of sex chromosome replacement?

Tao, Wenjing ; Conte, Matthew A ; Wang, Deshou ; Kocher, Thomas D

BioEssays, 2021-03, Vol.43 (3), p.e2000161-e2000161 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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3
The influence of spatial sampling scales on ant–plant interaction network architecture
The influence of spatial sampling scales on ant–plant interaction network architecture
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The influence of spatial sampling scales on ant–plant interaction network architecture

Dáttilo, Wesley ; Vizentin‐Bugoni, Jeferson ; Debastiani, Vanderlei J. ; Jordano, Pedro ; Izzo, Thiago J. ; Resasco, Julian Resasco, Julian

The Journal of animal ecology, 2019-06, Vol.88 (6), p.903-914 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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4
A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children
A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children
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A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children

Wierenga, Lara M. ; van den Heuvel, Martijn P. ; Oranje, Bob ; Giedd, Jay N. ; Durston, Sarah ; Peper, Jiska S. ; Brown, Timothy T. ; Crone, Eveline A.

Human brain mapping, 2018-01, Vol.39 (1), p.157-170 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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5
Toxic but tasty – temporal dynamics and network architecture of heme‐responsive two‐component signaling in Corynebacterium glutamicum
Toxic but tasty – temporal dynamics and network architecture of heme‐responsive two‐component signaling in Corynebacterium glutamicum
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Toxic but tasty – temporal dynamics and network architecture of heme‐responsive two‐component signaling in Corynebacterium glutamicum

Keppel, Marc ; Piepenbreier, Hannah ; Gätgens, Cornelia ; Fritz, Georg ; Frunzke, Julia

Molecular microbiology, 2019-05, Vol.111 (5), p.1367-1381 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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6
Altered functional network architecture in orbitofronto-striato-thalamic circuit of unmedicated patients with obsessive-compulsive disorder
Altered functional network architecture in orbitofronto-striato-thalamic circuit of unmedicated patients with obsessive-compulsive disorder
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Altered functional network architecture in orbitofronto-striato-thalamic circuit of unmedicated patients with obsessive-compulsive disorder

Jung, Wi Hoon ; Yücel, Murat ; Yun, Je-Yeon ; Yoon, Youngwoo B ; Cho, Kang Ik K ; Parkes, Linden ; Kim, Sung Nyun ; Kwon, Jun Soo

Human brain mapping, 2017-01, Vol.38 (1), p.109-119 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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7
The role of the arousal system in age‐related differences in cortical functional network architecture
The role of the arousal system in age‐related differences in cortical functional network architecture
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The role of the arousal system in age‐related differences in cortical functional network architecture

Guardia, Tiago ; Geerligs, Linda ; Tsvetanov, Kamen A. ; Ye, Rong ; Campbell, Karen L.

Human brain mapping, 2022-02, Vol.43 (3), p.985-997 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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8
A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID‐19
A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID‐19
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A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID‐19

Mathur, Jyoti ; Chouhan, Vikas ; Pangti, Rashi ; Kumar, Sharad ; Gupta, Somesh

Dermatologic therapy, 2021-03, Vol.34 (2), p.e14902-n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
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Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias

Rizzo, Rudy ; Dziadosz, Martyna ; Kyathanahally, Sreenath P. ; Shamaei, Amirmohammad ; Kreis, Roland

Magnetic resonance in medicine, 2023-05, Vol.89 (5), p.1707-1727 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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10
The development of brain network architecture
The development of brain network architecture
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The development of brain network architecture

Wierenga, Lara M. ; van den Heuvel, Martijn P. ; van Dijk, Sarai ; Rijks, Yvonne ; de Reus, Marcel A. ; Durston, Sarah

Human brain mapping, 2016-02, Vol.37 (2), p.717-729 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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