Results 51 to 60 of about 3,761,353 (230)

A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System [PDF]

open access: yesarXiv, 2023
Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively. Recent research has demonstrated the value of user feedback, but there are still issues to consider, such as the difficulty in tracking changes, comparing different models and the lack of evaluation based on real ...
arxiv  

Capacity and tendency: A neuroscientific framework for the study of emotion regulation. [PDF]

open access: yes, 2019
It is widely accepted that the ability to effectively regulate one's emotions is a cornerstone of physical and mental health. As such, it should come as no surprise that the number of neuroimaging studies focused on emotion regulation and associated ...
Guassi Moreira, João F   +1 more
core   +2 more sources

Author Multidisciplinarity and Disciplinary Roles in Field of Study Networks [PDF]

open access: yesarXiv, 2022
When studying large research corpora, "distant reading" methods are vital to understand the topics and trends in the corresponding research space. In particular, given the recognised benefits of multidisciplinary research, it may be important to map schools or communities of diverse research topics, and to understand the multidisciplinary role that ...
arxiv  

Loosing gut feeling? Intuition in Depression

open access: yesFrontiers in Psychology, 2016
Whereas in basic research, intuition has become a topic of great interest, clinical research and depression research in specific have not applied to the topic of intuition, yet.
Carina Remmers   +2 more
doaj   +1 more source

Perceived Community Support, Users’ Interactions, and Value Co-Creation in Online Health Community: The Moderating Effect of Social Exclusion

open access: yesInternational Journal of Environmental Research and Public Health, 2019
Online health communities (OHCs) face the same problem as other social media platforms in terms of decreasing activity and user attrition. Drawing upon organizational support theory, this study explores how perceived community support affects user ...
Wenlong Liu   +3 more
semanticscholar   +1 more source

Medical students and research: Is there a current discrepancy between education and demands?

open access: yesGMS Zeitschrift für Medizinische Ausbildung, 2014
[english] This article refers to a correspondence letter recently published in , describing successful student-led research initiatives in Latin America, which were introduced because of low support from universities and governments.
Mileder, Lukas Peter
doaj   +1 more source

Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies [PDF]

open access: yes, 2016
Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate research topics and keywords to facilitate the marketing process and to support (digital) libraries and academic search engines.
Birukou, Aliaksandr   +3 more
core  

Prisms of the abstract : Material relations in Icelandic art [PDF]

open access: yes, 2016
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Early research on this topic was funded by an AHRC studentship award.
Hodson, Elizabeth A
core   +1 more source

The Grandfamily Phenomenon: Grandparents Providing Intensive Care (Scoping Review)

open access: yesGender a Výzkum, 2021
This article deals with the phenomenon of grandfamilies. It sets out to determine what the existing literature reports on the issue of grandparents in the position of surrogate parents, and to introduce the topic of grandparents as it has been examined ...
Kateřina Prášilová
doaj   +1 more source

An N-gram based approach to auto-extracting topics from research articles [PDF]

open access: yesarXiv, 2021
A lot of manual work goes into identifying a topic for an article. With a large volume of articles, the manual process can be exhausting. Our approach aims to address this issue by automatically extracting topics from the text of large Numbers of articles. This approach takes into account the efficiency of the process. Based on existing N-gram analysis,
arxiv  

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