European Union (Horizon 2020)

• Abstract

  Pressure on forest ecosystems tends to increase due to socioeconomic factors and demographic trends. A growing population demands that more products be extracted from forest ecosystems. Consumption and its interaction with the drivers of global change will affect the sustainability of the supply of a wider range of ecosystem services such as protection from forest fires, water, and biodiv…

  Decision support for the supply of ecosystem services under global change: Brazilian effort (DecisionES - BR), AP.TEM

• Abstract

  The growth of the airline industry in recent years has stimulated the search for the production of aviation fuel from alternative energy sources. Within this scenario, the 4AirCRAFT project ("Air Carbon Recycling for Aviation Fuel Technology") was proposed, an international collaborative partnership between seven research institutions (5 from Europe, 1 from Japan and 1 from Brazil), with …

  Contribution to the development of reactor technology for the conversion of CO2 into aviation fuel (Project 4AirCRAFT), AP.R

• Abstract

  Cardiovascular disease is the leading cause of death worldwide. Underlying atherosclerosis and ensuing conditions such as myocardial infarction, ischemic heart disease and stroke cause tremendous morbidity, mortality, and economic loss. Early identification of patients with high risk for such clinical events enables preventive actions. The use of machine learning (ML) for risk prediction …

  Predicting cardiovascular events using machine learning, AP.R

(Only some records are available in English at this moment)

• Abstract

  The main objective of this project is to model decision support systems capable of dealing with the interaction between forests and hydrological processes under the impacts of climate and land-use change, mainly in the State of São Paulo, Brazil.

  Accounting for hydrological services on the design and development of decision support systems for forest managers and policy makers - AcquaES, BP.DD

• Abstract

  Pre-election polls, which are fundamental to the electoral dynamic, inform candidates about voter preferences, guide campaign strategies and can be used by parties to mobilize the electoral base, including through the dissemination of false information. Recent trends indicate an increase in the circulation of falsified pre-election polls on candidates' social platforms. For the media, the…

  The influence of Technology and Gender on the accuracy of presidential election survey results in Latin America since the 1980s, BP.IC
• Integration of Machine Learning Models into Daily Hospital Routine, BP.TT

(Only some records are available in English at this moment)