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January 31, 2022
The space-for-time substitution approach provides a valuable empirical assessment to infer temporal effects of disturbance from spatial gradients. Applied to predict the response of different ecosystems under current climate change scenarios, it remains poorly tested in microbial ecology studies, partly due to the trophic complexity of the ecosystems studied. The McMurdo Dry Valleys of Antarctica represent a trophically simple polar desert projected to experience drastic changes in water availab...
January 25, 2022
In a new study, researchers evaluated the impact of the SARS-CoV-2 Omicron variant on the prevalence of SARS-CoV-2 infections among unvaccinated and vaccinated populations of South Africa and 50 other countries.
January 21, 2022
Plano, Texas (PRWEB) January 21, 2022 -- Plano, TX and Menasha, WI (January XX, 2022) - The National Business Research Institute (NBRI) is pleased to welcome
January 17, 2022
This study pioneers the application of machine learning (ML) for predicting the bearing strength of double shear bolted connections in structural steel. For the first time, a comprehensive database comprising 443 experimental datasets was compiled, with input features including the normalized end distance, edge distance, bolt pitch along and transverse to the loading directions of the connection, ultimate-to-yield strength ratio of the steel plate, number of bolt rows, connection configuration a...
December 28, 2021
/PRNewswire/ -- HealthWorksAIโข, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI...
December 22, 2021
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December 17, 2021
By Jannis M. Hoch, Sophie P. de Bruin, Halvard Buhaug, Nina von Uexkull, Rens van Beek & Niko Wanders in Environmental Research Letters
December 15, 2021
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December 10, 2021
Train delays are among the most complained events by the public communities in urban cities. Train delay prediction is critical for advanced traveler information systems (ATIS), which provides valuable information for enhancing the efficiency and effectiveness of intelligent transportation systems (ITS). However, the train delay prediction problem cannot be easily solved by modeling historical/static data from a single data source. A large amount of data is collected from sensor devices across t...
December 6, 2021
Computers models show that integrating trees with crops can increase yields.