Results 131 to 140 of about 792 (250)

Making Data Work: Using Conversation and Interaction Analysis to Study Data Science Education

open access: yesTeaching Statistics, EarlyView.
ABSTRACT This article presents a methodological approach that combines conversation analysis (CA) and interaction analysis (IA) to examine how students reason with data in collaborative settings, using food justice as an illustrative case. While traditional analytical approaches in data science education often rely on individual cognitive measures or ...
Marc T. Sager
wiley   +1 more source

Do Sovereign‐Environmental, Social and Governance (S‐ESG) Commitments Promote Financial Inclusion?

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT Given the need to respect humanity, the environment, and society, and the progressive development of social responsibility, environmental, social and governance (ESG) commitments and the need for ethical and sustainable finance, this paper aims to examine the impact of sovereign ESG on financial inclusion (FI).
Inès Gharbi   +2 more
wiley   +1 more source

Guanxi and Wasta: 20 Years of Evolution and Future Directions for Informal Network Research

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT This article provides an examination of the evolution of networking in China and the Arab world over two decades and provides an update to, and new insights arising from, an article called Guanxi and Wasta; A Comparison, published in Thunderbird International Business Review in 2006.
Kate Hutchings   +3 more
wiley   +1 more source

Takagi-Sugeno Fuzzy Nonlinear Control System for Optical Interferometry. [PDF]

open access: yesSensors (Basel)
Coradini MF   +4 more
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi   +5 more
wiley   +1 more source

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