Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Daniel A. Vasco"'
Autor:
Johannes Hertel, Amy C. Harms, Almut Heinken, Federico Baldini, Cyrille C. Thinnes, Enrico Glaab, Daniel A. Vasco, Maik Pietzner, Isobel D. Stewart, Nicholas J. Wareham, Claudia Langenberg, Claudia Trenkwalder, Rejko Krüger, Thomas Hankemeier, Ronan M.T. Fleming, Brit Mollenhauer, Ines Thiele
Publikováno v:
Cell Reports, Vol 29, Iss 7, Pp 1767-1777.e8 (2019)
Summary: Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with co
Externí odkaz:
https://doaj.org/article/5e5f0680757b4363b9d61648d5f1837f
Publikováno v:
Royal Society Open Science, Vol 4, Iss 9 (2017)
Single-cell sequencing is a promising technology that can address cancer cell evolution by identifying genetic alterations in individual cells. In a recent study, genome-wide DNA copy numbers of single cells were accurately quantified by single-cell
Externí odkaz:
https://doaj.org/article/fa8ecea2a9a3466b9f940f43c9d4db3f
Autor:
Daniel Chuquin-Vasco, Geancarlo Torres-Yanacallo, Cristina Calderón-Tapia, Juan Chuquin-Vasco, Nelson Chuquin-Vasco, Ramiro Cepeda-Godoy
Publikováno v:
AIMS Environmental Science, Vol 11, Iss 2, Pp 157-183 (2024)
This study aimed to develop an artificial neural network (ANN) capable of predicting the molar concentration of diisobutylene (DIB), 3, 4, 4-trimethyl-1-pentene (DIM), and tert-butyl alcohol (TBA) in the distillate and residue streams within three sp
Externí odkaz:
https://doaj.org/article/420c110bd7c2440bb40f7842ace90c33
Autor:
Daniel Chuquin-Vasco, Dennise Chicaiza-Sagal, Cristina Calderón-Tapia, Nelson Chuquin-Vasco, Juan Chuquin-Vasco, Lidia Castro-Cepeda
Publikováno v:
AIMS Energy, Vol 12, Iss 2, Pp 439-463 (2024)
We developed an artificial neural network (ANN) to predict mole fractions in the extractive distillation of an n-hexane and ethyl acetate mixture, which are common organic solvents in chemical and pharmaceutical manufacturing. The ANN was trained on
Externí odkaz:
https://doaj.org/article/beb07344c66447bea271e4b74e5df9da
Autor:
Cristina Calderón-Tapia, Daniel Chuquín-Vasco, Alex Guambo-Galarza, Soledad Núñez-Moreno, Cristina Silva-Cisneros
Publikováno v:
AIMS Environmental Science, Vol 10, Iss 6, Pp 847-867 (2023)
Microbial fuel cells (MFCs) are devices that use microorganisms to produce electricity from organic matter. In this study, the bacterium Delftia acidovorans spp was used to evaluate energy generation in a single-chamber MFC. In this evaluation, six M
Externí odkaz:
https://doaj.org/article/f9d1c85e40364a96a94d6a6ac1129e29
Autor:
Daniel Chuquin-Vasco, Cristina Calderón-Tapia, Nelson Chuquin-Vasco, María Núñez-Moreno, Diana Aguirre-Ruiz, Vanesa G. Lo-Iacono-Ferreira
Publikováno v:
AIMS Energy, Vol 11, Iss 6, Pp 1153-1178 (2023)
The present study is significant because it can contribute to developing sustainable energy strategies and expanding knowledge about renewable energies in Ecuador, specifically by modeling two modules: the thermal module (parabolic solar collectors a
Externí odkaz:
https://doaj.org/article/9447f41a71de4367b796ef066077e794
Autor:
Darío Fernando Guamán-Lozada, Daniel Chuquin Vasco, Mabel Parada Rivera, Gisela Pilco Bonilla
Publikováno v:
International Journal of Food Properties, Vol 26, Iss 1, Pp 1497-1505 (2023)
ABSTRACTIn this study, the effect of UV-C radiation at different milk thickness levels on the bacterial count of raw and pasteurized milk contaminated with Escherichia coli was investigated. A total of 27 samples were irradiated with different UV-C d
Externí odkaz:
https://doaj.org/article/fc9467016b904a3b96f020583d9f2887
Autor:
Nelson Chuquin-Vasco, Daniel Chuquin-Vasco, Juan Chuquin-Vasco, Francis Parra, Vanesa G. Lo-Iacono-Ferreira
Publikováno v:
Energies, Vol 14, Iss 3965, p 3965 (2021)
Energies
Volume 14
Issue 13
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Energies
Volume 14
Issue 13
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software
Autor:
Isobel D. Stewart, Maik Pietzner, Almut Heinken, Enrico Glaab, Ines Thiele, Claudia Langenberg, Thomas Hankemeier, Amy C. Harms, Brit Mollenhauer, Federico Baldini, Daniel A. Vasco, Nicholas J. Wareham, Ronan M. T. Fleming, Rejko Krüger, Johannes Hertel, Claudia Trenkwalder, Cyrille C. Thinnes
Publikováno v:
Cell Reports, Vol 29, Iss 7, Pp 1767-1777.e8 (2019)
Cell Reports, 29(7), 1767-1777. CELL PRESS
Cell Reports
info:eu-repo/grantAgreement/EC/H2020/757922
Cell Reports, 29(7), 1767-1777. CELL PRESS
Cell Reports
info:eu-repo/grantAgreement/EC/H2020/757922
Summary Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with con
Autor:
Claudia Trenkwalder, Almut Heinken, Enrico Glaab, Ines Thiele, Thomas Hankemeier, Federico Baldini, Cyrille C. Thinnes, Brit Mollenhauer, Daniel A. Vasco, Johannes Hertel, Amy C. Harms, Rejko Krüger, Ronan M. T. Fleming
Publikováno v:
SSRN Electronic Journal.
Parkinson’s disease (PD) exhibits systemic effects on human metabolism with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de-novo PD patients and 30 matched controls with constraint-based