Institution
Universidade Federal de Minas Gerais
Education•Belo Horizonte, Minas Gerais, Brazil•
About: Universidade Federal de Minas Gerais is a education organization based out in Belo Horizonte, Minas Gerais, Brazil. It is known for research contribution in the topics: Population & Context (language use). The organization has 41631 authors who have published 75688 publications receiving 1249905 citations.
Topics: Population, Context (language use), Medicine, Immune system, Health care
Papers published on a yearly basis
Papers
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TL;DR: In the proposed method, multivariate time series data which include hourly load data, hourly temperature time series and fuzzified version of load time series, was converted into multi-channel images to be fed to a proposed deep learning CNN model with proper architecture.
183 citations
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TL;DR: While parasite RNA and DNA activate innate immune responses via TLR7 and TLR9, TLR11 andTLR12 working as heterodimers are required for sensing and responding to Toxoplasma profilin, supporting a more critical role for NAS-TLRs in human toxoplasmosis.
183 citations
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TL;DR: It is concluded that butyrate protects intestinal epithelial cells from damage caused by C. difficile-induced colitis via the stabilization of HIF-1, mitigating local inflammatory response and systemic consequences of the infection.
183 citations
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TL;DR: The measure proposed here can identify and quantify structural topological differences that have a practical impact on the information flow through the network, such as the presence or absence of critical links that connect or disconnect connected components.
Abstract: Identifying and quantifying dissimilarities among graphs is a fundamental and challenging problem of practical importance in many fields of science. Current methods of network comparison are limited to extract only partial information or are computationally very demanding. Here we propose an efficient and precise measure for network comparison, which is based on quantifying differences among distance probability distributions extracted from the networks. Extensive experiments on synthetic and real-world networks show that this measure returns non-zero values only when the graphs are non-isomorphic. Most importantly, the measure proposed here can identify and quantify structural topological differences that have a practical impact on the information flow through the network, such as the presence or absence of critical links that connect or disconnect connected components. Identifying and quantifying dissimilarities among graphs is a problem of practical importance, but current approaches are either limited or computationally demanding. Here, the authors propose an efficiently computable measure for network comparison that can identify structural topological differences.
183 citations
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TL;DR: The structural framework of the Quadrilatero Ferrifero is the result of two main deformational events as mentioned in this paper : the Transamazonian Event and the Pan-African/Brasiliano Event.
183 citations
Authors
Showing all 42077 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Marmot | 193 | 1147 | 170338 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Alan D. Lopez | 172 | 863 | 259291 |
Jens Nielsen | 149 | 1752 | 104005 |
Mildred S. Dresselhaus | 136 | 762 | 112525 |
Jing Kong | 126 | 553 | 72354 |
Mauricio Terrones | 118 | 760 | 61202 |
Michael Brammer | 118 | 424 | 46763 |
Terence G. Langdon | 117 | 1158 | 61603 |
Caroline A. Sabin | 108 | 690 | 44233 |
Michael Brauer | 106 | 480 | 73664 |
Michael Bader | 103 | 735 | 37525 |
Michael S. Strano | 98 | 480 | 60141 |
Pablo Jarillo-Herrero | 91 | 245 | 39171 |
Riichiro Saito | 91 | 502 | 48869 |