48 research outputs found
Weblab France-Brésil en génie des procédés
A Weblab is an experiment remotely operated via internet. A Weblab between the Chemical Engineering Department of the University of SĂŁo Paulo Polytechnic School (EPUSP) and the Process Engineering Department of the Ecole Nationale SupĂ©rieurs dâIngĂ©nieurs en Arts Chimiques et Technologiques (ENSIACET) is developed. The experiment consists of a tank level control. The main objective is to propose and test tunings for the system control loop. For this purpose, the students must work in synergy and propose models for the system in order to find the tuning parameters. Weblab is a showcase for new technologies and original experiences because it allows to perform a control action from anywhere in a supervision environment which is spreading out in the industry. The objectives and interests are mainly pedagogical as the Weblab favours the variety and diversity of intercultural experiences a student could experience during his undergraduate studies. Because of this, the Weblab perfectly integrates in an engineer curriculum that is open to international exchanges.
Un WebLab est une installation commandĂ©e Ă distance via internet. Nous dĂ©veloppons une expĂ©rience de Weblab entre le dĂ©partement de GĂ©nie Chimique de lâEcole Polytechnique de lâUniversitĂ© de SĂŁo Paulo (EPUSP) et le dĂ©partement GĂ©nie des ProcĂ©dĂ©s et Informatique de lâEcole Nationale SupĂ©rieurs dâIngĂ©nieurs en Arts Chimiques et Technologiques (ENSIACET). LâexpĂ©rience consiste en la rĂ©gulation de niveau dans un bac. Lâobjectif de lâexpĂ©rience est de proposer et de valider des rĂ©glages pour la boucle de commande du systĂšme. Pour cela, les Ă©tudiants de lâEPUSP et de lâENSIACET doivent travailler en synergie et proposer des modĂ©lisations et un rĂ©glage du contrĂŽleur. Le Weblab constitue une vitrine de technologies innovantes et dâexpĂ©riences originales, car il permet, depuis nâimporte oĂč, dâeffectuer une commande Ă distance dans un environnement de supervision qui est de plus en plus adoptĂ© dans lâindustrie. Les objectifs et intĂ©rĂȘts du WebLab se situent plutĂŽt au niveau pĂ©dagogique car il peut ĂȘtre un facteur multiplicatif du nombre dâexpĂ©riences interculturelles pouvant ĂȘtre vĂ©cues par un Ă©tudiant tout au long de son cursus. Pour ces raisons le Weblab sâintĂšgre parfaitement dans une formation dâingĂ©nieurs qui se doit dâĂȘtre ouverte Ă lâinternational
Waiting time to radiotherapy as a prognostic factor for glioblastoma patients in a scenario of medical disparities
Avaliação das propriedades mecĂąnicas e da resistĂȘncia Ă corrosĂŁo em soldas de reparo pelo processo GTAW no aço inoxidĂĄvel superduplex UNS S32760
Prevalence of diarrheagenic Escherichia coli in children with diarrhea in Salvador, Bahia, Brazil
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4
While the increasing availability of global databases on ecological communities has advanced our knowledge
of biodiversity sensitivity to environmental changes,5â7 vast areas of the tropics remain understudied.8â11 In
the American tropics, Amazonia stands out as the worldâs most diverse rainforest and the primary source of
Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13â15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazonâs biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus
crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced
environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian
Amazonia, while identifying the regionâs vulnerability to environmental change. 15%â18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by
2050. This means that unless we take immediate action, we will not be able to establish their current status,
much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio