The Landscape of Experimental Cardiac Arrest Research Models in Rats: A Bibliometric Analysis of the 100 Most Cited Articles.

This study aimed to conduct a bibliometric analysis of the 100 most cited articles on experimental cardiac arrest models in rats, identifying key contributors, publication trends, research themes, and collaboration networks. A comprehensive literature search was performed on the Web of Science (WoS) database on June 11, 2024, using keywords related to cardiac arrest and rat models. The top 100 most cited articles were analyzed using the Biblioshiny web application from the Bibliometrix R package (version 4.

A Holistic Approach for Enhancing Museum Performance and Visitor Experience.

Managing modern museum content and visitor data analytics to achieve higher levels of visitor experience and overall museum performance is a complex and multidimensional issue involving several scientific aspects, such as exhibits' metadata management, visitor movement tracking and modelling, location/context-aware content provision, etc. In related prior research, most of the efforts have focused individually on some of these aspects and do not provide holistic approaches enhancing both museum performance and visitor experience. This paper proposes an integrated conceptualisation for improving these two aspects, involving four technological components.

How to Utilize My App Reviews? A Novel Topics Extraction Machine Learning Schema for Strategic Business Purposes.

Acquiring knowledge about users' opinion and what they say regarding specific features within an app, constitutes a solid steppingstone for understanding their needs and concerns. App review utilization helps project management teams to identify threads and opportunities for app software maintenance, optimization and strategic marketing purposes. Nevertheless, app user review classification for identifying valuable gems of information for app software improvement, is a complex and multidimensional issue.