Analisis de la producción científica basado en las tendencias en temas de investigación. Un estudio de caso sobre inteligencia artificial

Scientific documentation research leads to the computation of large amounts of information from published works of the scientific community. It is necessary to explain these processes and create application frameworks. This paper provides the following: a) An Information System designed to extract scientific information from published papers, b) Accurate explanations of the main processing stages including data mining, natural language processing, and machine learning, and c) Categorized and explained results coming from the Artificial Intelligence case study. The results in this paper include the following: a) Topics and research area rankings and b) Quantity versus quality comparisons of topics and research areas.La investigación en el campo de la documentación científica nos lleva hacia un procesamiento automático de grandes cantidades de información proveniente de los trabajos publicados por la comunidad científica. Resulta necesario explicar estos procesos y crear sistemas que los lleven a cabo. En este artículo se proporciona: a) Un Sistema de Información diseñado para extraer información científica a partir del texto que proporcionan los artículos publicados, b) Explicaciones de las etapas fundamentales de procesamiento: minería de datos, procesamiento del lenguaje natural, aprendizaje automático, y c) Resultados categorizados y explicados de nuestro caso de estudio: el área Artificial Intelligence. Los resultados de este artículo incluyen: a) Ranking de temas y ranking de áreas de investigación, y b) Comparativa entre cantidad y calidad de los temas y de las áreas de investigación

New Media Adaptation through Environmentally Friendly Dissemination Messages at a Religious Organization during the COVID-19 Era in Indonesi

This study seeks to explore new media adaptation through environmentally friendly dissemination messages at a religious organization during the Covid 19 era in Indonesia. This study used the phenomenographic method in a constructive/interpretive paradigm to explore the difference in the experience of members of the congregation who participate in online worship versus face-to-face worship to demonstrate environmentally friendly dissemination messages. Data collection was carried out through in-depth interviews with informants who represented three levels of membership of ordinary members, church administrators, and organization administrators. Secondary data was obtained through the documentation of social media of the religious organization (the Christian Church of East Java) in Surabaya, East Java Province, Indonesia. The findings of this study confirm different variations of experience in synchronous and asynchronous worship. The variety of experiences is divided into knowledge, feelings, and mindset of the congregation. Synchronous message dissemination contributes strongly to the knowledge, feelings, and mindset of the congregation in facing changes in worship models. This study contributes by offering an alternative to the phenomenographic method in the study of organizational communication. The limitation of the study lies in the object of the study which is limited to informants from the local church in urban areas. This research has yet to accommodate the online worship experience for congregations in rural areas

Emoji Company GmbH v Schedule A Defendants

Declaration of Dean Eric Goldma

Emoji Company GmbH v Schedule A Defendants

Declaration of Dean Eric Goldma