Evolution of global music trends: An exploratory and predictive approach based on Spotify data

Article Multidisciplinary Sciences

Music and mood regulation during the early stages of the COVID-19 pandemic

Sarah Hennessy et al.

Summary: Music listening can effectively regulate emotions and improve well-being. Studies during the COVID-19 pandemic found that people across different countries used music to cope with stress, loss, and anxiety, with the effects of music regulation influenced by empathy, anxiety, depression, and country of residence.

PLOS ONE (2021)

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Review Computer Science, Information Systems

Deep Time-Series Clustering: A Review

Ali Alqahtani et al.

Summary: The article presents a detailed review of time-series data analysis, focusing on deep time-series clustering (DTSC) and a case study in movement behavior clustering using the deep clustering method. It discusses modifications made to DCAE architectures for time-series data and reviews recent works on deep clustering of time-series data. The article also identifies state-of-the-art developments in this field and offers an outlook on DTSC from five important perspectives.

ELECTRONICS (2021)

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Review Construction & Building Technology

Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis

Francisco Benita

Summary: This study uses bibliometrics to analyze scientific literature on human mobility behavior in 2020, identifying four main themes and showing that research on air transportation and environment is more mature than understanding changes in travel behavior. The study's framework provides a smart literature review approach with high transparency and replicability, and proposes a research agenda to guide transport policy and practice responses to COVID-19.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Communication