Gentrification as a field of study in environmental sciences

Gentrification, Год журнала: 2024, Номер 2, С. 55 - 55

Опубликована: Сен. 1, 2024

This article examines the interaction between gentrification and environmental sciences in Colombia, using a hermeneutic desk review approach to unravel how this urban phenomenon influences is influenced by factors. Through circle method, adapted for single researcher, deep understanding of existing literature achieved main lines research are identified. Areas explored include green gentrification, climate change impacts, health well-being effects, justice, associated public policies. The study highlights need policies that balance improvement with social protection, underlines importance including local communities planning processes prevent displacement increase equity. interdisciplinary provides valuable insights understand complexity its multiple dimensions an context

Язык: Английский

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Gentrification of tourism: a bibliometric study in the Scopus database

Gentrification, Год журнала: 2024, Номер 2, С. 52 - 52

Опубликована: Сен. 1, 2024

The study provides a comprehensive analysis of how gentrification and tourism intertwine affect urban environments. Using bibliometric methodology to review publications between 2018 2023, the identifies main trends dynamics in literature on this topic. results reveal growing academic interest interaction tourism, with geographic concentration studies Europe North America, although research is also emerging Asia Latin America. Key words highlighted include sustainability social impact, highlighting concerns about equity access benefits for local residents. This offers valuable insights into consequences suggests need more inclusive policies that balance economic development justice contexts transformed by

Язык: Английский

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Evaluación bibliométrica de la investigación sobre Tecnologías Habilitadoras para la Transformación Digital en Cuba

Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales, Год журнала: 2025, Номер 27(1), С. 313 - 334

Опубликована: Янв. 15, 2025

An investigation was carried out with the objective of identifying trends Cuban scientific production on some Enabling Technologies for Digital Transformation (THD) in Cuba indexed Scopus period 1997-2022 and analyzing behavior based bibliometric indicators such as: intellectual structure, conceptual social them. It from combination said techniques to obtain features their practices specialized community. Among results, it found that annual evolution showed a linear growth both documents number citations received, mainly foreign journals core area topic addressed. There coincidence prominent author co-citation network leader one collaborative networks. The most referenced sources were: Lecture Notes Computer Science, Information Sciences Neurocomputing. participation universities collaborations Spain Belgium predominated. were themes artificial intelligence, machine learning, learning systems, human computer interaction data mining related health. study highlighted importance contextualizing indicators. In addition, allowed us compare shown by respect international context. Final ideas are offered future lines research results found.

Язык: Английский

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Management trends and implementation of AI in university management

Data & Metadata, Год журнала: 2025, Номер 4, С. 866 - 866

Опубликована: Март 6, 2025

The objective of this article was to explore managerial trends and the implementation artificial intelligence in university management, with a particular focus on Latin American context. To end, mixed study designed, operationalized through documentary review bibliometric procedures, qualitative thematic analysis, triangulation system, an integration data supported by external sources. results were organized into five management strategies, three emerging trends, recommendations for managers, main themes. These reflect significant progress, but also pose challenges, especially regions structural inequalities resource constraints. analyzed indicate need balanced approach that combines technological innovation ethical social considerations. Furthermore, findings emphasize importance international collaboration local capacity building ensure equitable sustainable AI. It is concluded it cardinal underline potential AI transform higher education, provided technical, ethical, challenges are addressed comprehensively.

Язык: Английский

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Telemedicine and eHealth Solutions in Clinical Practice

EAI Endorsed Transactions on Pervasive Health and Technology, Год журнала: 2023, Номер 9

Опубликована: Окт. 30, 2023

Introduction: Over the past decade, telemedicine and mobile health have experienced significant growth, becoming essential tools for healthcare in an increasingly digitized world. This research focuses on exploring how these technologies improved accessibility, efficiency quality of healthcare, despite challenges related to data security equity access, with aim understanding their impact potential modern healthcare. Methods: a PubMed search was performed using keywords "Telemedicine" "mHealth" find relevant studies its application clinical practice, inclusion criteria covering articles Spanish English published between 2018 2023, freely available. The PRISMA workflow followed review synthesize key findings trends this field. Result: contribution countries such as China, Australia United States health, focus cardiovascular diseases metabolic disorders, is highlighted. positive chronic diseases, mental physical activity treatment adherence highlighted, but need adapt interventions lack COVID-19 emphasized. Conclusions: Telemedicine addresses variety pathologies, focusing China leading contributions. eHealth seeks improve outcomes reduce burden disease.

Язык: Английский

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Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review

ICST Transactions on Scalable Information Systems, Год журнала: 2023, Номер unknown

Опубликована: Июль 18, 2023

Student dropout is one of the most complex challenges facing education system worldwide. In order to evaluate success Machine Learning and Deep algorithms in predicting student dropout, a systematic review was conducted. The search carried out several electronic bibliographic databases, including Scopus, IEEE, Web Science, covering up June 2023, having 246 articles as reports. Exclusion criteria, such articles, editorials, letters, comments, were established. final included 23 studies which performance metrics accuracy/precision, sensitivity/recall, specificity, area under curve (AUC) evaluated. addition, aspects related study modality, training, testing strategy, cross-validation, confounding matrix considered. results revealed that used algorithm Random Forest, present 21.73% studies; this obtained an accuracy 99% prediction higher than all total number reviewed.

Язык: Английский

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Gamificación en educación secundaria latinoamericana: Impacto en eficiencia interna, desafíos y oportunidades de mejora

Pedagogical Constellation, Год журнала: 2024, Номер 3(1), С. 179 - 206

Опубликована: Июль 30, 2024

This article conducts a systematic review to explore documented experiences on the implementation of gamification in secondary education Latin America. The objective is identify common patterns, challenges, and opportunities its application, as well evaluate impact internal efficiency indicators such motivation, school retention, academic performance. was based studies published between 2019 2024, extracted from databases SciELO, Scopus, Web Science. results show that increases motivation performance urban contexts, but faces significant technological teacher training barriers rural areas. It also observed more effective technical disciplines science mathematics, while other areas variable. conclusions suggest need adapt gamified tools local cultural provide training. Future should focus long-term how implement equitably diverse socioeconomic contexts.

Язык: Английский

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Telemedicine in Latin America: a bibliometric analysis

EAI Endorsed Transactions on Pervasive Health and Technology, Год журнала: 2023, Номер 9

Опубликована: Окт. 30, 2023

Introduction: Telemedicine revolutionizes health care by removing geographic barriers and improving access. Although it faces challenges such as privacy equity of access, bibliometric studies are crucial to understanding its impact guiding future research. Methods: The study used a descriptive methodology based on the Scopus database analyze telemedicine research in Latin America over last ten years, resulting 2105 academic articles. Tools SciVal VOSviewer were perform quantitative visual analyses publications, including creating maps. Result: From 2013-2022, articles published America, with significant field. A particular focus is observed topics psychological support, COVID-19, imaging diagnosis cancer treatment, highlighting relevance these contexts. In addition, international collaboration was associated more impact. Brazil produced articles, importance between academia corporate sector this field highlighted. Conclusions: has grown especially during pandemic, offering benefits support expedited treatment; however, lack equitable access technology concerns about data privacy. leads scientific production

Язык: Английский

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Perspectivas latinoamericanas del uso de las TIC en estudiantado universitario

RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, Год журнала: 2023, Номер 52, С. 74 - 96

Опубликована: Дек. 31, 2023

El empleo de las Tecnologías la Información y Comunicación (TIC) está cada vez más presente en los distintos ámbitos vida del ser humano, el ámbito educativo no es excepción, cuales favorecen realización actividades tareas, su también contribuye al desarrollo habilidades digitales pensamiento. Este artículo tiene como objetivo describir percepción que estudiantado universitario TIC educativo. Se desarrolla primer semestre 2023 con 182 universitarios cuatro países latinoamericanos (México, Guatemala, Ecuador Bolivia). aborda desde enfoque empírico-analítico, un estudio cuantitativo, alcance descriptivo-transversal experimental. utiliza cuestionario, aplicado Google Forms. Los resultados reflejan diferencias estadísticamente significativas, uso educativo, manejo programas alfabetización digital.

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Classification model for student dropouts using machine learning: A case study

ICST Transactions on Scalable Information Systems, Год журнала: 2023, Номер unknown

Опубликована: Июнь 15, 2023

Information and communication technologies have been fulfilling a highly relevant role in the different fields of knowledge, addressing problems various disciplines; there is an increased capacity to identify patterns anomalies organization's data using mining; In this context, study aimed develop classification model for student dropout, applying machine learning with autoML method H2O.ai framework; dimensionality socioeconomic academic characteristics has taken into account, purpose that directors make reasonable decisions counteract abandonment students programs. The methodology used was technological type, purposeful level, incremental innovation, temporal scope, synchronous; collection prospective. For this, 20-item questionnaire applied 237 enrolled master's degree programs education Graduate School. research resulted supervised model, Gradient Reinforcement Machine (GBM), classify thus identifying main associated factors influence obtaining Gini coefficient 92.20%, AUC 96.10% LogLoss 24.24% representing efficient performance.

Язык: Английский

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