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Frontiers | Geochemically Defined Space-for-Time Transects Successfully Capture Microbial Dynamics Along Lacustrine Chronosequences in a Polar Desert

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...
United States New York New Zealand Taylor Valley United Kingdom States Lee

"Predicting bearing capacity of double shear bolted connections using m" by Samia Zakir Sarothi, Khondaker Sakil Ahmed et al.

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...
Random Forest Bearing Capacity Bolted Connection Design Code Ouble Shear Machine Learning
Source: uow.edu.au

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"Modeling, Analysis, and Application of Open Traffic Data for Train Del" by Jianqing Wu

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...
General Transit Feed Specification Primary Delay Prediction System Critical Point Search Long Short Term Memory Random Forest Train Delay
Source: uow.edu.au

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