Objectives Work stress is a threat to the well-being of nurses in China and also globally, and many studies have been conducted on the risk factors for stress symptoms. However, research on the ...

Abstract: In this paper we present a method for multiple hypothesis testing in sensor networks. Standard multiple testing methods ignore spatial dependencies between sensors, and thus suffer from a ...

Abstract: Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...

Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter ...

In part two of the step-by-step scientific workflow for drug discovery series, Dr Raminderpal Singh and Nina Truter describe the functions of the workflow previously outlined and include key ...

The debate on the use and misuse of P values has risen and fallen throughout their almost century-long existence in scientific discovery. Over the past few years, the debate has again received ...

An important step before clinical intervention selection is the diagnosis of the condition of a patient. Diagnostic tests are commonly used to confirm or exclude a target condition (e.g. a disease).

Despite an international treaty banning all nuclear detonations, the issue of nuclear weapons testing is taking center stage once again. Last November, Russia officially withdrew its ratification of ...