Results 131 to 140 of about 2,363,675 (310)
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Association between COVID-19 booster vaccination and influenza mortality: a nationwide retrospective cohort study using the SIVEP-Gripe database in Brazil. [PDF]
Immunol ResSardinha DM +15 more
europepmc +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Molecular detection and phylogenetic characterization of Babesia and Ehrlichia in free-living opossums from southeastern Brazil. [PDF]
Acta ParasitolRibeiro SR +9 more
europepmc +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
NÃO BASTA QUE O ALGORITMO NÃO SEJA RACISTA, É NECESSÁRIO QUE ELE SEJA ANTIRRACISTA
PolymatheiaO presente artigo tem como objetivo apresentar questões interseccionais derivadas da apropriação de técnicas e tecnologias de machine learning na educação brasileira.
Vicente Thiago Freire Brazil
doaj
Climate change and perennial crop production: Evidence of yield impact and adaptation in California
American Journal of Agricultural Economics, EarlyView.Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen +2 more
wiley +1 more source