Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Johns Hopkins University researchers, in response to many high performance liquid chromatography (HPLC) systems having issues ...

Machines have come a long way in seeing and understanding images, but they still don’t see quite like humans do. A new ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

Stand-up electric scooter riders in Helsinki are over three times more likely than cyclists to sustain injuries requiring ...

A new method recently proposed by Bartlet and Smith1 is based on evidence that the peaks obtained with a well-designed chromatograph closely approximate a normal or Gaussian distribution curve.

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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 ...

M. M. Shoukri, K-Sample Likelihood Ratio Tests on the Inverse-Gaussian Distribution, Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 35, No. 1 (1986), pp. 27-32 ...

The integration allows creators to choose between traditional mesh-and-texture workflows or Gaussian Splatting, depending on ...

It is shown that both the simple form of the Rasch model for binary data and a generalisation are essentially equivalent to special dichotomised Gaussian models. In these the underlying Gaussian ...