Educação Química no Projeto Escolar 'Quixaba': Alfabetização Científica com Enfoque CTSA no Ensino Fundamental a Partir de Temas Sociocientíficos

Autor: Luciana do N. Rodrigues, Rivana S. Batista, Sidnei Quezada Meireles Leite, Sandro J. Greco, Álvaro Cunha Neto, Valdemar Lacerda Júnior

Publikováno v: Orbital: The Electronic Journal of Chemistry, Vol 7, Iss 1, Pp 59-80 (2015)

The objective of this study was to analyze the pedagogical aspects of teaching chemistry in a “Quixaba” school project developed with students of Science of last year of basic school (corresponding to the third cycle), focusing CTSA. The project

Externí odkaz: https://doaj.org/article/8e792d9932de49f0a6f92f1f23c542b7

Anti‐ Candida , docking studies, and in vitro metabolism‐mediated cytotoxicity evaluation of Eugenol derivatives

Autor: Jessyca Aparecida Paes, Dutra, Sarah Canal, Maximino, Rita de Cássia Ribeiro, Gonçalves, Pedro Alves Bezerra, Morais, William Cezar, de Lima Silva, Ricardo Pereira, Rodrigues, Álvaro Cunha, Neto, Valdemar Lacerda, Júnior, Warley, de Souza Borges, Rodrigo Rezende, Kitagawa

Publikováno v: Chemical Biology & Drug Design. 101:350-363

The high morbidity and mortality rates of Candida infections, especially among immunocompromised patients, are related to the increased resistance rate of these species and the limited therapeutic arsenal. In this context, we evaluated the anti-Candi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72c581bfe5455af23d882e2f40e0d9b4
https://doi.org/10.1111/cbdd.14131

Lactose quantification in bovine milk by nuclear magnetic resonance without deuterated solvent (No-D qNMR)

Autor: Thays Cardoso Valim, Danyelle A. Cunha, Paulo R. Filgueiras, Valdemar Lacerda Júnior, Álvaro Cunha Neto

Publikováno v: Analytical Methods. 12:4892-4898

Milk is a homogeneous mixture of substances such as lactose, proteins, and glycerides. Among carbohydrates, lactose is a disaccharide composed of glucose and galactose, and it is present in bovine milk at a level of 4.6%. According to resolution no.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f13a0edc54938387974a6869a48fb297
https://doi.org/10.1039/d0ay01268h

Isolation, Absolute Configuration and Cytotoxic Activities of Alkaloids from Hippeastrum goianum (Ravenna) Meerow (Amaryllidaceae)

Autor: Andrea N. L. Batista, Letícia V. Costa-Lotufo, Mariacaterina Lianza, Warley de Souza Borges, Jaume Bastida, Maria Helena Verdan, Álvaro Cunha Neto, João M. Batista, Sarah Christina Caldas Oliveira, Larissa Costa de Almeida, Jean Paulo de Andrade, Ferruccio Poli

Publikováno v: Dipòsit Digital de la UB
Universidad de Barcelona
Journal of the Brazilian Chemical Society, Volume: 31, Issue: 10, Pages: 2135-2145, Published: 09 OCT 2020
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Journal of the Brazilian Chemical Society v.31 n.10 2020
Journal of the Brazilian Chemical Society
Sociedade Brasileira de Química (SBQ)
instacron:SBQ

The phytochemical study of Hippeastrum goianum led to the identification of 13 compounds by means of gas chromatography-mass spectrometry (GC-MS) and nuclear magnetic resonance (NMR). Compounds 7-demethoxy-9-O-methylhostasine (1) and 7-deoxi-trans-di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb756092c41a144efe2218f663cd8c01
https://doi.org/10.21577/0103-5053.20200116

Use of Random forest in the identification of important variables

Autor: Paulo R. Filgueiras, Betina P.O. Lovatti, Eustáquio V.R. Castro, Álvaro Cunha Neto, Márcia H.C. Nascimento

Publikováno v: Microchemical Journal. 145:1129-1134

Random Forest (RF) technique has been shown to be promising in the supervised classification applied in different matrices. However, approaches to identifying significant variables that weight the model are scarce, in the classification problems. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65e2705a6d6b6b704473f1e554f54f90
https://doi.org/10.1016/j.microc.2018.12.028