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AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...
The construction industry is in the midst of a profound transformation. Traditionally slow to digitize, it is now embracing ...
Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...
Software engineering (SWE) encompasses a wide range of activities including requirements analysis, design, code development, testing, deployment, and maintenance. These tasks constitute a significant ...
Structural analysis of Fis1-Bap31 interaction reveals a weak but unique interface between 2 proteins, illuminating how MAM-associated proteins mediate organelle tethering and signaling at ER ...
This important study provides evidence for dynamic coupling between translation initiation and elongation that can help maintain low ribosome density and translational homeostasis. The authors combine ...
Among the findings was that the closer the employee was to those who left, the more satisfied and committed he or she became. The results underscore the importance of the structural context in ...
This examination reveals that mobility researchers have either failed to conceptualize structural and circulation mobility in a meaningful fashion and/or have failed to decompose mobility successfully ...
This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...
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