A linear sequence goes from one term to the next by always adding (or subtracting) the same value. The number added (or subtracted) at each stage of the linear sequence is called the common difference ...

This article is authored by Dr Rajendra Pratap Gupta, chairman, Academy of Digital Health Sciences and former advisor to the Union health minister.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

When you use DPReview links to buy products, the site may earn a commission. Editor's note: This review is based on Panasonic ...

Thermodynamics was built to describe steam engines and stars, yet the same equations now sit at the heart of quantum ...

Numerical Continuation and Stationkeeping of Quasi-Periodic Quasi-Satellite Orbits around Phobos Quasi-satellite orbits (QSOs) have been under the research spotlight due to their linear stability and ...

In the age of big data, surveillance systems capture vast amounts of information, but the bottleneck lies in interpretation for timely public health action. Heatstroke is a textbook example of ...

The Classic Car Club of America Museum at Gilmore in Hickory Corners represents everything magnificent about American automotive craftsmanship when designers cared more about curves than quarterly ...

Continuity Equation: Use the continuity equation to relate the velocities at the two cross-sections. If the density is ...

Abstract: We consider the problem of lossy compression of time series data collected by wireless sensor nodes, such that it produces a limited volume of compressed data for a given amount of raw data.