Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Chang, Chiann"'
Autor:
Ramacciotti, Eduardo, Volpiani, Giuliano Giova, Britto, Karen Falcão, Agati, Leandro Barile, Ribeiro, Camilla Moreira, Aguiar, Valéria Cristina Resende, Paganotti, Alexia, Pereira, Felipe Menegueti, Caffaro, Roberto Augusto, Krakauer, Rogério, Rached, Heron Rhydan Saad, Fareed, Jawed, Wolosker, Nelson, Anand, Sonia S., Eikelboom, John W., Chang, Chiann, Lopes, Renato D.
Publikováno v:
NEJM Evidence; Sep2024, Vol. 3 Issue 9, p1-9, 9p
Autor:
Benevenuto Caltabiano, Tania, Hattori, Breno, da Silva Jardim, Marcello, Marinho, Igor, Silva Marinho, Ivan, Mara Melo Batista, Liane, Rivabem, Lucas, Alberto Kenji Nakashima, Carlos, Carla Gois Franco, Ana, de Oliveira Pereira, Renata Fernanda, Strack Neves, Giana Caroline, de Castro e Souza, Izara, Moraes Ribas, Bruno, Ramos Tristão, Flavia, Barbosa Santos, Marcus Vinicius, Ramacciotti, Eduardo *, Barile Agati, Leandro, Calderaro, Daniela, Aguiar, Valéria Cristina Resende, Spyropoulos, Alex C, de Oliveira, Caroline Candida Carvalho, Lins dos Santos, Jessica, Volpiani, Giuliano Giova, Sobreira, Marcone Lima, Joviliano, Edwaldo Edner, Bohatch Júnior, Milton Sérgio, da Fonseca, Benedito Antônio Lopes, Ribeiro, Maurício Serra, Dusilek, Cesar, Itinose, Kengi, Sanches, Suzanna Maria Viana, de Almeida Araujo Ramos, Karine, de Moraes, Nara Franzin, Tierno, Paulo Fernando Guimarães Morando Marzocchi, de Oliveira, André Luiz Malavasi Longo, Tachibana, Adriano, Chate, Rodrigo Caruso, Santos, Marcus Vinícius Barbosa, de Menezes Cavalcante, Bruno Bezerra, Moreira, Ricardo Cesar Rocha, Chang, Chiann, Tafur, Alfonso, Fareed, Jawed, Lopes, Renato D
Publikováno v:
In The Lancet 1-7 January 2022 399(10319):50-59
Autor:
Chang, Chiann Wen, 張建文
84
In this study, we synthesized Gd-acetylacetone-tetraphenyl- porphyrin(GdacacTPP)-cremophor micelles as the nuclear magnetic resonance image(MRI) contrast agent. Gd can reduce T1 and T2 values of protons around it, and increase the signal inte
In this study, we synthesized Gd-acetylacetone-tetraphenyl- porphyrin(GdacacTPP)-cremophor micelles as the nuclear magnetic resonance image(MRI) contrast agent. Gd can reduce T1 and T2 values of protons around it, and increase the signal inte
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/68056323782197873734
Autor:
Gilberto Sassi, Chang Chiann
Publikováno v:
Brazilian Journal of Probability and Statistics. 36
Autor:
Paula Ricci Arantes, João Ricardo Sato, Pedro A. Morettin, Maria Lucia Mourao, Chang Chiann, Eduardo Hiromassa Taniguchi, Emerson Gomes dos Santos, Edson Amaro Junior
Publikováno v:
Journal of Data Science. 6:89-103
Functional magnetic resonance imaging (fMRI) has, since its de- scription fifteen years ago, become the most common in-vivo neuroimaging technique. FMRI allows the identification of brain areas which are related to specific tasks, by statistical anal
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Autor:
Lincovil, Jaime Enrique1 outliersj@gmail.com, Chang Chiann1 chang@ime.usp.br
Publikováno v:
Brazilian Review of Finance / Revista Brasileira de Finanças. Dec2019, Vol. 17 Issue 4, p56-76. 21p.
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
A estrutura de covariância entre os retornos dos ativos representa uma informação fundamental para a formação de carteiras de investimentos. Os fatores responsáveis pelos riscos sistemáticos dos ativos podem ser identificados através dos mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6462ec087c735a282b926285242b0c87
https://doi.org/10.11606/d.45.2006.tde-20210729-151455
https://doi.org/10.11606/d.45.2006.tde-20210729-151455
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Cataño, D H, Rodríguez-Caballero, C V, Peña, D & Chiann, C 2022, ' Wavelet estimation for factor models with time-varying loadings ', International Journal of Wavelets, Multiresolution and Information Processing, vol. 20, no. 1, 2150033 . https://doi.org/10.1142/S0219691321500338
Universidade de São Paulo (USP)
instacron:USP
Cataño, D H, Rodríguez-Caballero, C V, Peña, D & Chiann, C 2022, ' Wavelet estimation for factor models with time-varying loadings ', International Journal of Wavelets, Multiresolution and Information Processing, vol. 20, no. 1, 2150033 . https://doi.org/10.1142/S0219691321500338
We introduce a high-dimensional factor model with time-varying loadings. We cover both stationary and nonstationary factors to increase the possibilities of applications. We propose an estimation procedure based on two stages. First, we estimate comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2592dc84e131db5cfa3eee31f241e828
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The presence of spikes or cusps in high-frequency return series might generate problems in terms of inference and estimation of the parameters in volatility models. For example, the presence of jumps in a time series can influence sample autocorrelat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ba6db3547ae3bfec46f0bddb69b4ea4