This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.
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Quantum walks explained, and why they could change everything
Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...
Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...
Market research is the systematic process of gathering, analyzing, and interpreting information about a market, including the creation and evaluation of products and services, and the consumer ...
At the eight-month mark of President Donald Trump’s second presidential term, The Washington Post fielded a survey with Ipsos measuring Americans’ opinions of the presidency and found a public mostly ...
Abstract: In this paper, we introduce a classical algorithm for random sampling of permutations, drawing inspiration from the Steinhaus-Johnson-Trotter algorithm. Our approach takes a comprehensive ...
Background: Human papillomavirus (HPV) infection is the primary cause of cervical cancer, and HPV self-sampling has emerged as a novel screening method with the potential to increase screening ...
Researchers in South Korea have developed an organoid disease model and non-destructive stiffness analysis technology for evaluating the efficacy of new drugs for fatty liver disease. The research ...
A team of researchers have published a paper in which they show that a quantum computer can produce certified randomness, which has numerous application areas such as in cryptography. According to the ...
Rapper and actor Method Man, best known as a member of the iconic hip-hop group Wu-Tang Clan, allegedly was pumping more than weights at the gym recently. Method Man is reportedly under investigation ...
Abstract: Existing domain generalization semantic segmentation (DGSS) methods have achieved remarkable performance on unseen domains by generating stylized images to increase the diversity of training ...
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