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AZoBuild on MSN11d
Researchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
EurekAlert!16d
rcssci: Simplifying complex data relationships with enhanced visual clarity
The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...
Thorax4d
Association between ultra-processed food consumption and lung cancer risk: a population-based cohort study
Background The evidence on associations between ultra-processed foods (UPF) and lung cancer risk is limited and inconsistent.
Scientific Research Publishing4d
Numerical Prediction of Air Overpressure during Mining Operations in an Open Pit Mine ()
Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...
eLife3d
Hypothalamic deiodinase type-3 establishes the period of circannual interval timing in mammals
School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom ...
Scientific Research Publishing11d
Digital Economy, Governmental Intervention and Industrial convergence: Evidence from Henan, China ()
With a panel data of Henan Province in China from 2014 to 2021, this study examines the role and mechanism of the digital economy on the integration of advanced manufacturing and modern service ...