Results 31 to 40 of about 2,006 (166)

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

open access: yesArthritis Care &Research, EarlyView.
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin   +7 more
wiley   +1 more source

Analyse des interruptions accompagnées de chevauchements dans les émissions radiophoniques algériennes

open access: yesMultilinguales
In this article, we study interruptions accompanied by overlaps in the Algerian radio context. We examine two different program types: Parlons-en, a one-hour in-studio program that addresses issues related to elderly people and their rights, and Yades ...
Lynda Brahmi, Nabil Sadi
doaj   +1 more source

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

open access: yesArthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif   +5 more
wiley   +1 more source

Introduction

open access: yesInformal Logic, 1995
Introduction
Hans V. Hansen, Christopher W. Tindale
doaj   +1 more source

Are You Flirting, Objectifying or What? a Conversation Analysis of “you’re very sexy” Conversational Turn

open access: yesSoshum: Jurnal Sosial dan Humaniora, 2020
Intent identification is one of the most critical components in conversational agent design. Conversational agent “is any dialogue system that not only conducts natural language processing but also responds automatically using human language ...
Kadek Ratih Dwi Oktarini
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

The role of context for the development of conversation and the construction of meanings in cartoons = O papel do contexto no desenvolvimento da conversação em cartoons

open access: yesActa Scientiarum: Language and Culture, 2009
This article discusses the role context plays in the development of any oral interaction. It is, thus, in light of the Interactional Sociolinguistic area that I analyze a cartoon of a son-father dialogue to uncover the implicit meanings derived from ...
Daniela Gomes de Araújo Nóbrega
doaj  

Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite

open access: yesAdvanced Functional Materials, EarlyView.
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen   +16 more
wiley   +1 more source

Conversational agents in language learning

open access: yesJournal of China Computer-Assisted Language Learning, 2023
Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings.
Xiao Feiwen   +4 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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