A comprehensive study on bisphenol A and estrogenic activity in the Paraíba do Sul River, São Paulo, Brazil.

Autor: Roledo C; São Paulo State University (UNESP), Institute of Science and Technology, Environmental Engineering Department, São José dos Campos 12247-016, Brazil; São Paulo State Environmental Agency, CETESB, São Paulo 05459-900, Brazil E-mail: croledo@sp.gov.br; cely.roledo@gmail.com., França DD; São Paulo State Environmental Agency, CETESB, São Paulo 05459-900, Brazil., Dos Santos Feitosa IR; University of Campinas (UNICAMP), Institute of Chemistry, Campinas13083-970, Brazil., Quinaglia GA; São Paulo State Environmental Agency, CETESB, São Paulo 05459-900, Brazil., Montagner CC; University of Campinas (UNICAMP), Institute of Chemistry, Campinas13083-970, Brazil., Roubicek DA; São Paulo State Environmental Agency, CETESB, São Paulo 05459-900, Brazil., Dos Reis AG; São Paulo State University (UNESP), Institute of Science and Technology, Environmental Engineering Department, São José dos Campos 12247-016, Brazil.

Publikováno v: Journal of water and health [J Water Health] 2024 Nov; Vol. 22 (11), pp. 2060-2075. Date of Electronic Publication: 2024 Nov 06.

Semi-empirical model for rubber shrinkage and debonding in solid rocket motors.

Autor: Rapozo, Rodrigo, Iha, Koshun

Publikováno v: Journal of the Brazilian Society of Mechanical Sciences & Engineering; Aug2024, Vol. 46 Issue 8, p1-11, 11p

Investigation of electropolishing performance on surface residual stress and morphology of electrical discharge machined maraging steel.

Autor: Kumar, Abhinav, Mahanti, Ranajit, Das, Manas

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Apr2024, Vol. 238 Issue 8, p3215-3225, 11p

Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback.

Autor: de Campos Souza, Paulo Vitor, Lughofer, Edwin

Publikováno v: Evolving Systems; Apr2023, Vol. 14 Issue 2, p319-341, 23p

Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children.

Autor: Lanzillotta, Matteo, Ma, Renfei, Accardi, Marcella, RaviChandran, Narrendar, Zaernia, Amir, Youseffi, Mansour, Parisi, Luca

Publikováno v: Applied Intelligence; Jul2022, Vol. 52 Issue 9, p10757-10767, 11p