Results 101 to 110 of about 4,838 (260)
Multimodal Discourse Analysis of News Pictures
Multimodal discourse analysis is the analysis of different symbolic modes within a text, which breaks through many limitations of traditional discourse analysis to a great extent. This paper takes the visual grammar of Kress and Leeuwen as the theoretical framework, which gives a good explanation of the reproducing meaning, interactive meaning and ...
openaire +1 more source
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok +7 more
wiley +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Structural and Semantic Dominants of r/SpaceX Discourse
This study presents a structural and semantic analysis of the discourse within the technologically oriented r/SpaceX community on Reddit. In the contemporary digital landscape, online forums construct and negotiate the public identity of technological ...
Smakotina Natal'ya
doaj +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Religious Tourism in a Key Multimodal Discourse Analysis Perspective
In the last few decades, religious tourism has become a relevant sector for the international tourism industry, with pilgrimages counting 240 million travelers per year.
Daniela Cesiri +2 more
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
NO GREE FOR ANYBODY: A MULTIMODAL DISCOURSE ANALYSIS APPROACH
The coinage of new words, phrases, and clauses into language can influence societal harmony or disharmony and, by extension, affect various aspects of life. The use of neologisms depends largely on their contextual appropriateness.
ANANA MARIAM +1 more
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

