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 ...

Abstract: This article studies robust adaptive Kalman filtering and smoothing problems for the linear state-space model with heavy-tailed multiplicative (measurement) noise and additive (process and ...

Antimicrobial resistance (AMR) grows as a major worldwide health threat which affects treatment of both human and veterinary medicine. Practitioners working in rural and regional veterinary offices ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. In 2021, NASCAR unveiled its Next Gen platform that included a ...

Abstract: As typical structural noise, stripes commonly occur in remote sensing images captured by linear array sensors, which seriously lowers the image quality and hinders the downstream ...

ABSTRACT: Multiplicative regression model has been proven to be an excellent model for analyzing data with positive responses. When constructing the confidence regions of the regression parameters, ...

Generalized additive models (GAMs) are commonly used in ecological research for their ability to model complex nonlinear relationships. However, assessing predictor importance in the presence of ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

In this project, we employ superstatistical methods and machine learning to analyze measured time series data of water quality indicators from the River Thames. Particular emphasis is placed on ...