Buscar
Mostrando ítems 1-10 de 18734
Graphical modeling of Rio Grande do Sul's Prehistory: Amerindian archaeological sites, cultures and temporalities
(Revues Org, 2018-01-01)
This article worked with data from archaeological sites dating from different Amerindian cultures - archaeological traditions - in the state of Rio Grande do Sul (Southern Brazil), collected from archaeological synthetic ...
Recognizing the nature of traditional identity through the study of changes in the landscape (Jureia-Itatins, Sao Paulo, Brazil)
(Univ Austral Chile, Fac Ciencias ForestalesValdiviaChile, 2012)
Producing non-traditional flour from watermelon rind pomace: Artificial neural network (ANN) modeling of the drying process
(Academic Press Ltd - Elsevier Science Ltd, 2021-03)
An artificial neural network (ANN) model was developed to simulate the convective drying process of watermelon rind pomace used in the fabrication of non-traditional flour. Also, the drying curves obtained experimentally ...
DEMOCRATIC TRADITIONS AND NEW MODELS OF DEMOCRACY
(Univ Fed Pernambuco, 2015-01-01)
In a context in which Brazilian shows consolidated democracy, but whose functioning of its institutions is a matter of great discontent of the population, the demand for a reform of the political system established by the ...
Traditional medicine and gastroprotective crude drugs
(Elsevier Ireland Ltd., 2005)
Herbal medicine uses to treat people with epilepsy: A survey in rural communities of northern Peru
(Elsevier, 2018)
Ethnopharmacological relevance: Epilepsy affects 150,000 people in Peru, with a prevalence of 16.6/1000 and a treatment gap of 75%. Herbal medicine (HM) is widely used in this country. Aim of the study: We aimed to assess ...
The effect of macroeconomic variables on the robustness of the traditional Fama–French model. A study for Mexico using different portfolios
(Universidad ESAN. ESAN EdicionesPE, 2021-12-19)
Purpose. Fama–French model (FFM) has been successful in helping to predict the financial markets, but investors have been interested in creating more sophisticated models to better predict the performance of the stock ...