A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

Background The global surge in ultra-processed food (UPF) consumption is a major public health challenge, particularly among ...

In 1969, a now-iconic commercial first popped the question, “How many licks does it take to get to the Tootsie Roll center of a Tootsie Pop?” This deceptively simple line in a 30-second script managed ...

This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...

If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...

In today’s competitive job market, standing out is crucial—and how you submit your application can make all the difference. Submitting a well-crafted cover letter is essential to make a strong ...

Objective: This study aimed to examine the relationship between maltreatment and psychological well-being among preschool children and explore parent–child interaction’s moderating role on this ...

QUARRYVILLE, Pa. — As cases of the avian flu continue to spread, the federal government is calling on dairy farms to provide milk samples to test for the disease. Under the new federal order, dairy ...

Abstract: Industrial intermittent fault diagnosis is crucial for maintaining efficient and safe production processes. However, existing methodologies often fail to account for practical sample ...

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...