Results 201 to 210 of about 20,058 (280)
Abstract This paper analyses differences in academic achievement associated with attendance at publicly funded private schools and public schools across 11 European countries. Using eight waves of PISA data (2000–2022), we apply OLS, IPW and IPWRA estimators to account for observed heterogeneity and mitigate selection bias.
Priya Maurya +2 more
wiley +1 more source
Optimization of autonomous vehicle control system reliability on a commercial scale through LIF dombi methodologies. [PDF]
Alolaiyan H +5 more
europepmc +1 more source
Migrant success in UK Education: Are there lessons for government social mobility policy?
Abstract The school achievement and career aspirations of 23 sixth form students at a multi‐cultural urban academy in the UK are explored through interviews. The sample includes 16 s‐generation migrants, 6 UK‐born students with migrant parents and 1 UK‐born student, selected to represent a cohort of over 300 post‐16 learners.
Bernard Barker, Kate Hoskins
wiley +1 more source
Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles. [PDF]
Ye Q.
europepmc +1 more source
Abstract This study examines the under‐theorized political role and identity of Chinese international students, who emerge as significant actors caught between U.S. soft power ambitions and rising geopolitical suspicion. Amid escalating U.S.‐China tensions, these students are forced to confront environments shaped by competing geopolitical discourses ...
Jing Yu
wiley +1 more source
Conflict analysis of disputes in livelihood vulnerability assessment of flood using fuzzy TOPSIS method and GMCR with triangular fuzzy numbers. [PDF]
Sun X, Wang D.
europepmc +1 more source
Cognitive and contextual configurations in entrepreneurial opportunity evaluation: insights from fsQCA. [PDF]
Andrade-Valbuena NA, Dos Santos MA.
europepmc +1 more source
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal +2 more
wiley +1 more source

