S. Silva

ORCID: 0000-0003-3997-6513
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Health, Nursing, Elderly Care
  • Atmospheric and Environmental Gas Dynamics
  • Fire effects on ecosystems
  • Rural Development and Agriculture
  • Quantum Chromodynamics and Particle Interactions
  • Geochemistry and Geologic Mapping
  • Solar Radiation and Photovoltaics
  • Environmental Sustainability and Education
  • Water-Energy-Food Nexus Studies
  • Conservation, Biodiversity, and Resource Management

Universidade Federal de Lavras
2023

LIP - Laboratory of Instrumentation and Experimental Particle Physics
1996

A Educação Popular, por meio da extensão universitária, se torna um elo de acesso à educação acadêmica e valorização dos saberes locais no contexto social brasileiro. O objetivo deste trabalho é relatar a experiência dois discentes do Curso Fisioterapia que organizaram facilitaram oficinas para prevenção Distúrbios Osteomusculares Relacionados ao Trabalho (DORT) Má Postura moradores cidade distritos Ibimirim/PE partir Projeto “UFPE meu Quintal”. Foram oferecidas três cujas dinâmicas...

10.14393/rep-2024-73262 article PT cc-by-nc-nd Revista de Educação Popular 2025-01-14

The Amazon Basin, the world’s largest watershed, plays a critical role in regulating global water and biogeochemical cycles. Given its importance, addressing region’s growing environmental, social, economic challenges requires an integrated approach to sustainable development. This study documents development application of water-energy-food nexus model support Cooperation Treaty Organization (ACTO) Inter-American Development Bank (IADB) evaluating infrastructure policy...

10.5194/egusphere-egu25-19460 preprint EN 2025-03-15

The evolution of computational technology increasingly allows for more sophisticated techniques to predict different natural attributes. This study proposes a new approach estimate the aboveground carbon stock in Brazilian Savanna, as well contrast and compare this commonly applied literature. (Mg/ha) were quantified 26 Savanna forests Minas Gerais state (Brazil). Different such least absolute shrinkage selection operator (LASSO), regression-kriging (RG) random forest (RF) variable interest....

10.2139/ssrn.4563087 preprint EN 2023-01-01
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