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of 2 175
pro vyhledávání: '"F Soares"'
Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns
Autor:
Daniela M. Amaral, Diogo F. Soares, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Identifying groups of patients with similar disease progression patterns is key to understand disease heterogeneity, guide clinical decisions and improve patient care. In this paper, we propose a data-driven temporal stratification approach,
Externí odkaz:
https://doaj.org/article/56de9291eb37425e90170dd775b76da6
Autor:
MUNA G.A. YUSSEF, MARINA DOS SANTOS, JULIA O. PENTEADO, MARIA CRISTINA F. SOARES, ANA LUIZA MUCCILLO-BAISCH, FLAVIO MANOEL R. DA SILVA JÚNIOR
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss suppl 1 (2024)
Abstract Coal mining activities release harmful air pollutants, which affect children’s health, particularly the lung function. Brazil has a large coal reserve in the southern region, where a coal-fired power plant and two coal mines are located. T
Externí odkaz:
https://doaj.org/article/fe60de594447479085d941bf25814f79
Autor:
Wagner C. A. Carvalho, Rayane A. S. Freitas, Milson S. Barbosa, Ariela V. Paula, Ernandes B. Pereira, Adriano A. Mendes, Elton Franceschi, Cleide M. F. Soares
Publikováno v:
AIMS Bioengineering, Vol 11, Iss 2, Pp 185-211 (2024)
Due to the need to replace lubricants derived from polluting processes and inputs, bioprocesses and raw materials such as vegetable oils have been used for the production of biolubricants. In this study, the synthesis of esters with lubricating poten
Externí odkaz:
https://doaj.org/article/df81cddb7bb94d4286a84eac415c9439
Autor:
Yslla Emanuelly da Silva Faccioli, Kaio Wêdann de Oliveira, Jenyffer Medeiros Campos-Guerra, Attilio Converti, Rita de Cássia F. Soares da Silva, Leonie A. Sarubbo
Publikováno v:
Energies, Vol 17, Iss 20, p 5042 (2024)
The exploitation of nature and the increase in manufacturing production are the cause of major environmental concerns, and considerable efforts are needed to resolve such issues. Oil and petroleum derivatives constitute the primary energy sources use
Externí odkaz:
https://doaj.org/article/a171e56f013546cc92ab4c14a8b0a536
Autor:
Ka Ho Tam, Maria F. Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria Kaisar, Jens Rittscher
Publikováno v:
Frontiers in Transplantation, Vol 3 (2024)
Two common obstacles limiting the performance of data-driven algorithms in digital histopathology classification tasks are the lack of expert annotations and the narrow diversity of datasets. Multi-instance learning (MIL) can address the former chall
Externí odkaz:
https://doaj.org/article/74e5aa5558d74e47a75f886017bc349d
Autor:
Isabela N. Souza, Lucas C. V. Rodrigues, Cleide M. F. Soares, Filipe S. Buarque, Ranyere L. Souza, Álvaro S. Lima
Publikováno v:
Molecules, Vol 29, Iss 18, p 4383 (2024)
This work studies the partition of phenolic compounds, namely caffeic acid, syringic acid, vanillic acid, ferulic acid, and vanillin, in aqueous two-phase systems (ATPSs) formed by acetonitrile and deep eutectic solvents (DESs) based on choline chlor
Externí odkaz:
https://doaj.org/article/4cf1b149f91345b291fe0ec586d141a9
Publikováno v:
Energies, Vol 17, Iss 16, p 4110 (2024)
The widespread use of static converters for controlling electrical machines and the concern for electrical power quality in industrial environments provide an opportunity for utilizing these devices to enhance the power quality. In this context, this
Externí odkaz:
https://doaj.org/article/555702f3e2d64fb0a746d8e883244729
Akademický článek
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Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract This work proposes a new class of explainable prognostic models for longitudinal data classification using triclusters. A new temporally constrained triclustering algorithm, termed TCtriCluster, is proposed to comprehensively find informativ
Externí odkaz:
https://doaj.org/article/aeda5f20019943c8bdd18a1af2ac3892
Publikováno v:
Journal of Fungi, Vol 10, Iss 4, p 292 (2024)
The slow action of fungi is one of the biggest challenges in using entomopathogenic fungi. A promising alternative to reduce the time of action is to combine conidia with extracellular enzymes. This study aimed to characterize the production of Pr1 s
Externí odkaz:
https://doaj.org/article/6c6dc03187274ca3ad91bf8de191f4ff