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This article aims to share the experience of the renewal of congregational singing in Cuban churches since the 1960s as a testimony to the links that exist between liturgical renewal and theological renewal with a special focus on the dialogue between culture and social reality, particularly in light of the Cuban Revolution of 1959, as constitutive of this renewal. [ABSTRACT FROM AUTHOR]

In his own poetry, Tycho Brahe took inspiration from ancient Roman poetry by appropriating ancient theology: the god Apollo and the Muse of Astronomy, Urania. In so doing, he framed himself as being in a unique position to reveal the secrets of the cosmos. This study offers the first comprehensive analysis in English of Tycho's Elegy to Urania, and traces sources that have not previously been identified. The first 52 lines of his deeply personal Elegy are presented here in English for the first time. This study also looks at Scottish epigrams in praise of Tycho, and a brief look at how other poets and astronomers (notably Corbinianus Thomas) employed Urania for their own purposes. [ABSTRACT FROM AUTHOR]

Aligned with global Sustainable Development Goals (SDGs) and multidisciplinary approaches integrating AI with sustainability, this research introduces an innovative AI framework for analyzing Modern French Poetry. It applies feature extraction techniques (TF-IDF and Doc2Vec) and machine learning algorithms (especially SVM) to create a model that objectively classifies poems by their stylistic and thematic attributes, transcending traditional subjective analyses. This work demonstrates AI's potential in literary analysis and cultural exchange, highlighting the model's capacity to facilitate cross-cultural understanding and enhance poetry education. The efficiency of the AI model, compared to traditional methods, shows promise in optimizing resources and reducing the environmental impact of education. Future research will refine the model's technical aspects, ensuring effectiveness, equity, and personalization in education. Expanding the model's scope to various poetic styles and genres will enhance its accuracy and generalizability. Additionally, efforts will focus on an equitable AI tool implementation for quality education access. This research offers insights into AI's role in advancing poetry education and contributing to sustainability goals. By overcoming the outlined limitations and integrating the model into educational platforms, it sets a path for impactful developments in computational poetry and educational technology. [ABSTRACT FROM AUTHOR]