Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam ...

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

The TinyML Foundation’s work, along with that of Silicon Labs, helps users explore new use-cases and challenges that embedded ...

Who drops two grand on a DAP in 2025? Someone who still owns CDs, hates Bluetooth with the fire of a thousand suns, and ...

The Switch 2 is Nintendo's safest console generation leap possibly ever, but is it worth the rising price? I tested it for a week to find out.

We examine the small sample size performance of the energy detector for spectrum sensing in AWGN. By making use of the cube-of-Gaussian approximation of chi-squared random variables, we derive a novel ...

Sociodemographic data were collected. Associations between variables were evaluated by Poisson’s regression in bi and multivariate models. Results: A total of 190 (42.41%) children had dental caries ...

In this double-blind RCT, 500 hypertensive patients (aged 40–65 years) will be selected via a simple random sampling method from 6 healthcare ... According to previous studies,18 19 the sample size ...

Discover everything there is to know about Reverse Tip Sample Scanning Probe Microscopy (RTS SPM) and its main applications.

Westgold Resources Limited (ASX: WGX) (TSX: WGX) – (Westgold or the Company) is pleased to announce its maiden Mineral ...

Whether antiretroviral therapy (ART) is always completely suppressive, or HIV might continue to replicate at low levels despite ART in some people with HIV (PWH), is still debated. Here, we ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...