The solution is based on a proprietary two stage algorithm: a fully convolutional region proposal neural network stage and a false positive reduction stage. The first stage is a three-dimensional deep ...

Hormone receptor–positive, human epidermal growth factor 2 (HER2)–negative metastatic breast cancer (MBC) represents the most common subtype of MBC and has undergone substantial therapeutic evolution.

The US capital gains tax is realization based, which means that taxes are due when appreciated assets are sold. Critics of this approach argue that it allows asset holders, such as corporate founders, ...

Abstract: This paper displays the design of an efficient High speed Radix-4 Booth multiplier for both signed and unsigned numbers. The Proposed Booth multiplier is the capable multiplier which treats ...

Understanding when and why laypeople adopt predictive algorithms is key to aligning technology with user needs. I propose that adoption is driven by performance expectations (as algorithms are tools ...

This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. This work is licensed under a Creative Commons ...

Loneliness is detrimental to well-being, particularly during the transition into and early years of adolescence when peer relations are ascendant. Shy and emotionally sensitive youth, who often spend ...

According to the probabilistic potential theory, electrostatic problems can be understood via mathematically isomorphic diffusion ones and vice versa 1,2. Since the Laplacian operator corresponds to ...

Objective To derive and validate a risk prediction algorithm to estimate hospital admission and mortality outcomes from coronavirus disease 2019 (covid-19) in adults. Design Population based cohort ...

To celebrate Women’s History Month, we’ve curated a list of 10 of our favorite audiobooks both written and narrated by women. Many of the authors and narrators below will be familiar to you, but many ...

A century ago, the great mathematician David Hilbert posed a probing question in pure mathematics. A recent advance in optimization theory is bringing Hilbert’s work into a world of self-driving cars.

Electroencephalography (EEG) source localization approaches are often used to disentangle the spatial patterns mixed up in scalp EEG recordings. However, approaches differ substantially between ...