Results 51 to 60 of about 267,178 (283)

The Physician‐Scientist Pipeline for Pediatric Rheumatology – Current Landscape and Future Perspectives.

open access: yesArthritis Care &Research, Accepted Article.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu   +2 more
wiley   +1 more source

Temporal Network Analysis of Small Group Discourse [PDF]

open access: yes, 2016
The analysis of school-age children engaged in engineering projects has proceeded by examining the conversations that take place among those children. The analysis of classroom discourse often considers a conversational turn to be the unit of analysis ...
Jordan, Michelle, Ricca, Bernard P.
core   +1 more source

The effects of the use of a conversational model and opportunities for reflections in computer-based role playing [PDF]

open access: yes, 1997
This study examined the effects of an instructional program on 21-year-old students' interpersonal skills development (N = 104). The HyperCard 2.1 program ¿Telling bad news¿ could contain a conversational model that informed students about the main ...
Holsbrink-Engels, Geralien A.
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Trends and challenges of Arabic Chatbots: Literature review

open access: yesJordanian Journal of Computers and Information Technology, 2023
A conversational system is a natural language processing task that has recently attracted increasing attention with the advancements in Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA). However, Conversational Artificial
Yassine Saoudi, Mohamed Mohsen Gammoudi
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
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

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

A Conversational Implicature Analysis in Oscar Wilde's Short Story “Happy Prince” [PDF]

open access: yes, 2011
The title of this paper is a conversational implicature analysis on Oscar Wilde's “Happy Prince”. In this paper, the writer discusses conversational implicature in one of Oscar Wilde's short stories entitled “Happy Prince”.
Risdianto, F. (Faizal)
core  

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

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