Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Monica Surek"'
Autor:
Natália Norika Yassunaka Hata, Monica Surek, Daniele Sartori, Rodrigo Vassoler Serrato, Wilma Aparecida Spinosa
Publikováno v:
Food Technology and Biotechnology, Vol 61, Iss 1, Pp 85-103 (2023)
Acetic acid bacteria (AAB) are microorganisms widely distributed in nature. Although this group is involved in the spoilage of some foods, AAB are of great industrial interest, and their functionality is still poorly understood. AAB convert ethanol,
Externí odkaz:
https://doaj.org/article/36a77b2528cb4d90b395e5fbc70b8043
Autor:
Natália Norika Yassunaka Hata, Monica Surek, Daniele Sartori, Rodrigo Vassoler Serrato, Wilma Aparecida Spinosa
Publikováno v:
Food Technology and Biotechnology
Volume 61
Issue 1
Volume 61
Issue 1
Acetic acid bacteria (AAB) are microorganisms widely distributed in nature. Although this group is involved in the spoilage of some foods, AAB are of great industrial interest, and their functionality is still poorly understood. AAB convert ethanol,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7d315b2f784b60c466ab5b1f862466
https://doi.org/10.17113/ftb.61.01.23.7811
https://doi.org/10.17113/ftb.61.01.23.7811
Autor:
Alexandre Cobre, Monica Surek, Dile Stremel, Karime Domingues, Fernanda Stumpf Tonin, Roberto Pontarolo
Publikováno v:
International Journal of Technology Assessment in Health Care. 38:S101-S102
IntroductionWe aimed to develop and validate machine learning (ML) -based algorithms to predict COVID-19 diagnosis as well as to identify new biomarkers associated with the disease.MethodsInitially, 96 blood samples of patients diagnosed with COVID-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c73e4926252e71847f2f78b137416ce5
https://doi.org/10.1017/s0266462322002926
https://doi.org/10.1017/s0266462322002926
Autor:
Marcia Regina Beux, Suelen Ávila, Monica Surek, Keliani Bordin, Jaqueline Leobet, Fabiana Barbieri, Sila Mary Rodrigues Ferreira, Edvaldo Antonio Ribeiro Rosa
Publikováno v:
Brazilian Archives of Biology and Technology, Volume: 65, Article number: e22210440, Published: 27 JUN 2022
Brazilian Archives of Biology and Technology v.65 2022
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
Brazilian Archives of Biology and Technology v.65 2022
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
The combination of nutritional and chemical factors in honey and pollen produced by Tetragonisca angustula (jataí) reveals a unique ecosystem that is conducive to developing microorganisms. However, there is a lack of information regarding the micro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee10a5b2f47d7808d7762def956236ff
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100412&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100412&lng=en&tlng=en
Autor:
Alexandre de Fátima Cobre, Monica Surek, Dile Pontarolo Stremel, Mariana Millan Fachi, Helena Hiemisch Lobo Borba, Fernanda Stumpf Tonin, Roberto Pontarolo
Publikováno v:
Computers in biology and medicine. 146
To implement and evaluate machine learning (ML) algorithms for the prediction of COVID-19 diagnosis, severity, and fatality and to assess biomarkers potentially associated with these outcomes.Serum (n = 96) and plasma (n = 96) samples from patients w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71cbb328ea9cec5c895ec06b99728a6a
https://pubmed.ncbi.nlm.nih.gov/35751188
https://pubmed.ncbi.nlm.nih.gov/35751188
Autor:
Raquel de Oliveira Vilhena, Roberto Pontarolo, Alexandre de Fátima Cobre, Flavia Mori Sarti, Beatriz Böger, Mariana Millan Fachi, Danilo Raul Ossufo Momade, Monica Surek, Fernanda S. Tonin
Publikováno v:
Clinical Nutrition (Edinburgh, Scotland)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Summary Background & aims COVID-19 is an emergency public health problem of global importance. This study aimed to investigate the effect of foods and nutrients as complementary approaches on the recovery from COVID-19 in 170 countries, especially co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aae6189a84e0af4fe7d244f6b37f8a08
http://europepmc.org/articles/PMC7982641
http://europepmc.org/articles/PMC7982641
Autor:
Monica Surek, Alexandre de Fátima Cobre, Mariana Millan Fachi, Thalita Gilda Santos, Roberto Pontarolo, Amanda Rabello Crisma, Karina Bettega Felipe, Wesley Maurício de Souza
Publikováno v:
LWT. 161:113370
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d312afe6c25b3ecf2e33fb64ca50a7
https://doi.org/10.1016/j.lwt.2022.113370
https://doi.org/10.1016/j.lwt.2022.113370
Autor:
Amanda Rabello Crisma, Wesley M. Souza, Alexandre de Fátima Cobre, Mariana Millan Fachi, Monica Surek, Karina Bettega Felipe, Roberto Pontarolo, Favízia Freitas de Oliveira
Publikováno v:
Journal of ethnopharmacology. 269
Ethnopharmacological relevance Propolis extracts are widely used in traditional folk medicine and exhibit several properties such as antitumor, anti-inflammatory, and antimicrobial. However, these products have not been investigated in combination wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a19fded38b4bdbe053ec23449df604d6
https://pubmed.ncbi.nlm.nih.gov/33307049
https://pubmed.ncbi.nlm.nih.gov/33307049
Autor:
Allan M. Junkert, Alexandre de Fátima Cobre, Raquel de Oliveira Vilhena, Eric Luiz Domingos, Roberto Pontarolo, Danilo Raul Ossufo Momade, Monica Surek, Beatriz Böger, Mariana Millan Fachi, Josiane Mmf Santos
Publikováno v:
Journal of hazardous materials. 402
The occurrence of antibiotics in the natural environment has been a growing issue and correlations between this presence and developing resistance bacteria are explored. The purpose of this study was to investigate the presence of antibiotics of diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23752e1b027c7be28eb40b65a4827eb2
https://pubmed.ncbi.nlm.nih.gov/32688189
https://pubmed.ncbi.nlm.nih.gov/32688189
Autor:
Dile Pontarolo Stremel, Guilhermina Rodrigues Noleto, Alexandre de Fátima Cobre, Roberto Pontarolo, Monica Surek, Fernanda S. Tonin, Mariana Millan Fachi, Astrid Wiens
Publikováno v:
Computers in Biology and Medicine
Objective This study aimed to implement and evaluate machine learning based-models to predict COVID-19’ diagnosis and disease severity. Methods COVID-19 test samples (positive or negative results) from patients who attended a single hospital were e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::198dbe188c61555d7fbace4897f13904
http://europepmc.org/articles/PMC8164361
http://europepmc.org/articles/PMC8164361