Results 101 to 110 of about 316 (232)
Assessment of Digital Multimodal Composing: Toward Ethical and Responsible Use of Generative AI
Abstract This Research Issues paper outlines the theoretical and practical foundations for assessing GenAI‐mediated DMC, with a particular focus on frameworks for ethical authorship, diverse assessment approaches and methods, and flexible quality criteria and rubrics.
Dong‐shin Shin +2 more
wiley +1 more source
Detección y notificacion de agraviantes, herramienta con rango de movimiento amplio, legalizable...
openaire +1 more source
ABSTRACT Metal contamination in aquatic ecosystems poses substantial risks to freshwater organisms, with mixture effects often deviating from predictions based on single‐metal toxicity. Understanding how age‐specific sensitivities and multiple exposure pathways influence mixture effects is critical for accurate risk assessment.
Sanah Majid +3 more
wiley +1 more source
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley +1 more source
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
One‐dimensional coordination polymers of Cu(II) and Co(II) with kojic acid show distinct chain connectivities revealed by X ray crystallography and exhibit extremely weak magnetic interactions, as supported by magnetic measurements and molecular orbital calculations. The crystal structures and magnetic properties of coordination complexes [Cu(C6H5O4)2]
Wataru Fujita, Tomoko Yamaguchi
wiley +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
Artificial Intelligence as a Scientific Copilot in Analytical Chemistry: Transforming How We Write, Review, and Publish. [PDF]
Fuente-Ballesteros A +4 more
europepmc +1 more source

