Conclusion Incorporating FFM into equations to predict VO 2max fails to explain the negative effect of central adiposity. However, by incorporating M and percentage body fat (BF%) separately into the ...

An all-rounder type of bike with clean lines and smooth integration, but does this translate to speed in the wind tunnel ...

Every few years, someone announces that a new technology is about to transform insurance. The pattern repeats: a wave of excitement, a few pilots, then, usually, quiet disappointment. But I think ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

To our knowledge, this analysis is the largest EHR-based study for identifying drug repurposing candidates for ALS. We identified several drugs that warrant further assessment as therapeutic options ...

Coverage claims without context are one of the most persistent sources of confusion in security tooling. This post breaks down four myths behind ATT&CK coverage claims and offers a more useful ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

Peripheral artery disease (PAD) and its severe form, chronic limb-threatening ischemia (CLTI), significantly impair blood flow to the lower extremities, affecting millions of adults globally.

What most teams miss is that adoption is decided by incentives, not just architecture. For financial institutions, these digital identity systems live or die on the day-to-day reality of identity ...

This paper examines whether Chinese development finance is associated with faster progress toward Millennium Development Goal style targets in low- and middle-income countries. We combine AidData’s ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.