Results 221 to 230 of about 2,448,644 (346)

#NoIDVape: A content analysis of illicit vape messaging in young people's information sources

Addiction, EarlyView.
Abstract Background and aims In recent years, the increased prevalence of youth vaping in the United Kingdom (UK) may have coincided with a proliferation in the use of ‘illicit’ (unregulated) vapes. Media or educational content about illicit vaping aimed at young people is scarce and poorly understood.
Eleanor Bray, Sarah Gentry, Anna Varley, Caitlin Notley, Samuel Webb, Emma Ward   +5 more
wiley   +1 more source

Performance of Enhanced Large Language Models on Prosthodontic Multiple-Choice Questions. [PDF]

Int Dent J
Gao S, Wang ZA, Gao Z, Liu J, Zhang H, Pan S, Zhou Y.   +6 more
europepmc   +1 more source

Supply Chain Diversification and Industrial Policies to Strengthen Economic Security

Asian Economic Policy Review, EarlyView.
ABSTRACT Recently, global supply chains have been disrupted because of geopolitical factors and industrial policies induced by national security concerns. Under these circumstances, creating supply chain resilience and strengthening economic security are of great interest to researchers, policymakers, and business people.
Yasuyuki Todo
wiley   +1 more source

An Introduction to Electronic Voting

De Cifris Koine
openaire   +2 more sources

Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning. [PDF]

BME Front
Shen CY, Yang X, Li Y, Lenk L, Ji Z, Ozcan A.   +5 more
europepmc   +1 more source

Web3 and Demurrage Money

The American Journal of Economics and Sociology, EarlyView.
ABSTRACT This article explores the application of demurrage money, a concept developed by Silvio Gesell, into Web3. Demurrage money, designed to discourage the hoarding of currency and prevent economic stagnation and concentrations in wealth, offers a potential remedy for the problems of traditional fiat and gold‐backed monetary systems.
George Lovegrove
wiley   +1 more source

Privacy-preserving federated learning with optimized ensemble weighting and knowledge distillation for COVID-19 detection from non-IID medical imaging data. [PDF]

Sci Rep
Annan R, Qin H, Newman R, Siddula M, Qingge L.   +4 more
europepmc   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Electronic Voting

, 2010
openaire   +3 more sources

Extracting Social Determinants of Health From Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model Methods. [PDF]

JMIR Med Inform
Wang B, Kabir D, Clark CR, Choi KW, Smoller JW.   +4 more
europepmc   +1 more source