Simcenter Testlab, already used with composites, now uses intelligent test automation and AI assistance to execute physical ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...

Explore how vital components can make a major difference in robotics and automation. This resource highlights performance optimization, innovation, and efficiency gains through carefully engineered ...

Abstract: Magnetic anomaly detection (MAD) is an effective technique for detecting ferromagnetic materials in the presence of a geomagnetic field. In this article, by integrating and enhancing the ...

Even if the guns fall silent in Ukraine, Russia’s economy may never step off the battlefield. Years of massive defense outlays have locked the country in a state of militarization that’s transformed ...

Fortunately, our findings suggest that machine learning methods, particularly those combining clinical features and radiomics, hold promise for improving predictive accuracy. Our meta-analysis may ...

Seahawks LB Accidentally Forces Teammate to Fumble Away Kyler Murray Interception Social media car stunt challenges turn deadly Emma Watson admits Hollywood 'broke me' after years in supportive Harry ...

Abstract: As a classic data processing tool, Principal Component Analysis (PCA) has been widely applied in various data analysis applications. To mitigate the high computational complexity of PCA on ...

Department of Chemistry, University of Houston, Houston, Texas 77204, United States Texas Center for Superconductivity, University of Houston, Houston, Texas 77204 ...

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...