- Argentina 5
- executive functions 4
- funciones ejecutivas 3
- C23 2
- F10 2
- H72 2
- children 2
- corn 2
- estudiantes universitarios 2
- fiscal policy 2
- forage 2
- forraje 2
- mejoramiento 2
- política fiscal 2
- self-regulation 2
- soybean 2
- toma de decisiones 2
- university students 2
- 014 1
- 20th Century 1
- A10 1
- ADHD 1
- AQUA/TERRA satellite 1
- Adicción a los Videojuegos 1
- Adolescentes 1
- Adultos 1
- Arachis hypogaea 1
- Aristotle 1
- Aristóteles 1
- Artificial Neural Networks 1
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Crop yield estimation using satellite images: comparison of linear and non-linear models
Published 2018“…Development of models for crop yield prediction using remote sensing allows accurate, reliable and timely estimations over large areas. articularly, this information is necessary to ensure the adequacy of a nation’s food supply as well as to aid policy makers and farmers. In Argentina, soybean (Glycine max (L.) Merr.) and corn (Zea mays L.) are the most important crops. …”
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A decision making account for the cognitive processing of De Morgan´s laws
Published 2010Get full text
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Video Game Addiction: what can we learn from a media neuroscience perspective?
Published 2015Get full text
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Fiscal Transfers, Public Sector Wage Premium and the Effects on Private Wages
Published 2009“…We examine the relationship between federal transfers, the existence of a wage premium for the public sector and its effects on private wages in Argentina. The empirical analysis is based on the theoretical presumption that federal fiscal transfers to the different regions are being used to finance more public employment therefore discouraging private activity. …”
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Developing machine learning models for air temperature estimation using MODIS data
Published 2022“…Artificial neural networks (ANN) and random forests (RF) models were developed to predict these temperatures covering weather stations in Córdoba (Argentina) for 2018-2020. The results show that RF and ANN machine learning algorithms are capable of modeling non-linear relationships between registered temperatures and LST MODIS data, in a very robust way. …”
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Selection of bacterial isolates with fungal inhibition against alfalfa phytopathogens to constitute a bacterial consortium
Published 2024“…Plant Growth Promoting Rhizobacteria (PGPR) and endophytic bacteria offer a biological solution as they can inhibitphytopathogenic fungi by producing antifungal compounds or enzymes. In Argentina, alfalfa is primarily affected by Colletotrichum trifolii (Ct) and Phytophthora megasperma (Pm). …”
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