Self-Employment, TVET Graduates, Graduate Employability, Industry-Based Training, Entrepreneurial Skills Haftimer, H.A. and Dong, G. (2026) Challenges and Opportunities of Self-Employment among TVET ...

All respondents are randomly selected from a national registered voter list sourced from Aristotle. The survey employs a probability proportionate to size method, which means the number of respondents ...

One in four U.S. adults - the equivalent of over 66 million Americans - report having used artificial intelligence tools or ...

A new analytical method could improve how cancer treatments are designed - by allowing scientists to track, for the first time, exactly where inside a living cell a drug accumulates. Researchers from ...

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...

Abstract: Aiming at the problem of low model detection rate caused by the imbalanced distribution of network attack traffic categories, a traffic monitoring model based on hybrid sampling and deep ...

ABSTRACT: Purpose and Design: This paper develops and empirically validates a SMART-based SEFVF framework to reform Egypt’s existing financial valuation standards (EFVS). Using a mixed-method approach ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

How can we be sure that there is sufficient data for our model, such that the predictions remain reliable on unseen data and the conclusions drawn from the fitted model would not vary significantly ...