Results 71 to 80 of about 18,832 (283)
Análise das áreas suscetíveis a inundações na bacia do rio Forquilhas, São José/SC
GEOUSP: Espaço e Tempo, 2010 O presente trabalho tem como objetivo principal analisar as áreas suscetíveis a inundações da bacia do rio Forquilhas, localizada no município de São José, Santa Catarina.
Francielle da Silva Cardozo +2 more
doaj +1 more source
Prognostic value of MET gene copy number and protein expression in patients with surgically resected non-small cell lung cancer: a meta-analysis of published literatures. [PDF]
PLoS ONE, 2014 BACKGROUND: The prognostic value of the copy number (GCN) and protein expression of the mesenchymal-epithelial transition (MET) gene for survival of patients with non-small cell lung cancer (NSCLC) remains controversial.
Baoping Guo +4 more
doaj +1 more source
Low-Rank Projections of GCNs Laplacian
CoRR, 2021 In this work, we study the behavior of standard models for community detection under spectral manipulations. Through various ablation experiments, we evaluate the impact of bandpass filtering on the performance of a GCN: we empirically show that most of the necessary and used information for nodes classification is contained in the low-frequency domain,
Grinsztajn, Nathan +2 more
openaire +3 more sources
, 2022 The term “accuracy” is used as a difference between a measured value and a “true” value determined by a reference material or method. “Ambiguity” is a state of a measured GCN not being close enough to an integer GCN to assign it clearly ...
Zoltán Doleschall (491125) +7 more
core +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
Intelligent AML systems: using deep learning to detect financial fraud
TalTech Journal of European StudiesFinancial fraud involving drop accounts is a major challenge for banking institutions and anti-money laundering (AML) systems. Fraudsters exploit weaknesses in transaction monitoring, making illicit fund transfers difficult to detect. Traditional methods
Pavlova Olga +3 more
doaj +1 more source
GCN-Code&StreetGraphFor298Cities
The package includes (1) Python scripts for the proposed GCN framework on street network analysis with a case study of urban polycentricity measurement, (2) Shapefile of top 128 streets for each city and txt file of corresponding dual graph as inputs of ...
Ding Ma (4667212)
core +1 more source
DII-GCN: Dropedge Based Deep Graph Convolutional Networks
, 2022 Graph neural networks (GNNs) have gradually become an important research branch in graph learning since 2005, and the most active one is unquestionably graph convolutional neural networks (GCNs).
Jinde Zhu, Chunmao Jiang, Guojun Mao
core +1 more source
Advanced Science, EarlyView.Reverse Weak Polarity‐Induced Ordered Layer Control strategy, optimizing the design of layered structures, has been successfully designed. By leveraging inhomogeneous field of units to replace isotropic fields of metal cations, polar layers realize controllable layer stacking via a “layer→linker→layer” polarity transfer.
Lingli Wu +7 more
wiley +1 more source
Advanced Energy & Sustainability ResearchDopants are frequently used to improve graphitic carbon nitride (gCN) photoactivity. As a doping source, phosphomolybdic acid (PMA) can activate doping sites inside the gCN lattice, resulting in 2D Mo:P‐gCN porous material.
Simon Y. Djoko T. +9 more
doaj +1 more source