Results 41 to 50 of about 271,355 (282)

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?

open access: yes, 2020
After being collected for patient care, Observational Health Data (OHD) can further benefit patient well-being by sustaining the development of health informatics and medical research.
Cirillo, Elisa, Georges-Filteau, Jeremy
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Machines That Create

open access: yesMedia Theory
In this article, M. Beatrice Fazi takes up Media Theory’s invitation to engage with Alan Díaz Alva’s analysis of her philosophical work on contingency in computation.
M. Beatrice Fazi
doaj   +1 more source

Media education and the limits of “literacy”: Ecological orientations to performative platforms

open access: yesComunicação & Educação, 2023
Recently, talk of “fake news” – and its relation to wider epistemic crises, from climate denialism to the creep of global ethnonationalism – has renewed attention to media literacy in education.
T. Philip Nichols, Robert Jean LeBlanc
doaj  

Harnessing Technology: new modes of technology-enhanced learning: opportunities and challenges [PDF]

open access: yes, 2009
A report commissioned by Becta to explore the potential impact on education, staff and learners of new modes of technology enhanced learning, envisaged as becoming available in subsequent years.
Balmer, Kim   +6 more
core  

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

Exploring the Frontier: Generative AI Applications in Online Consumer Behavior Analytics

open access: yesManagement Letters/Cuadernos de Gestión
This paper presents a systematic review of the application of generative artificial intelligence (AI) in online consumer behavior analytics (OCBA). With the advent of e-commerce and social media, consumer behavior increasingly occurs online, generating ...
Takuma Kimura
doaj   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

open access: yesFEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang   +5 more
wiley   +1 more source

Exploring the Challenges of Generative AI on Public Sector Communication in Europe

open access: yesMedia and Communication
This study investigates how emerging digital technologies, particularly generative AI tools, are transforming public sector communication in Europe, highlighting the profound intersection between public organizations, AI, and human interactions.
Alessandro Lovari, Fabrizio De Rosa
doaj   +1 more source

On the challenges of predicting microscopic dynamics of online conversations

open access: yesApplied Network Science, 2021
To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning algorithms.
John Bollenbacher   +5 more
doaj   +1 more source

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