Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or ...

Effective and noninvasive whale and biodiversity monitoring is now possible with the help of citizen scientists, opening up ...

This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer simulations ...

However, the genetics of a single tumor can vary greatly from one part of the tumor to the next. According to Alexander, current sampling methods can miss this genetic diversity because they use ...

Clinical trial samples collected for pharmacogenomic and future research are vital resources for the development of safe and effective drugs, yet collecting adequate, representative sample sets in ...

Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level approach or ...

Nyimbili, F., & Nyimbili, L. (2024). Types of Purposive Sampling Techniques with Their Examples and Application in Qualitative Research Studies. British Journal of Multidisciplinary and Advanced ...

For lower frequency in the sample, other methodology is required (e.g., digital polymerase chain reaction). Whole-Genome Sequencing Methods ...