Publications by authors named "V H Angel"

Article Synopsis
  • This study explored the link between spoken language and depression by analyzing speech recordings from 265 participants with a history of depression using automated transcription and deep learning methods.
  • Six topics were identified as risk indicators for depression, including 'No Expectations' and 'Sleep', with participants discussing these topics showing signs of sleep issues and using more negative language.
  • Limitations include the study's focus on a specific depressed cohort, potentially limiting its applicability to broader populations, and the need for further validation of topics identified in larger datasets.
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This study delves into the nexus between corporate ESG commitments-with a spotlight on environmental considerations-and innovation trends in China's corporate sector, leveraging data from Bloomberg's extensive database encompassing over 5102 companies. Our objective was to discern if and how environmental components within the ESG framework serve as precursors to a company's innovative inclinations. Adopting a quantitative methodology, we employed Bayesian Linear Regression and Neural Networks to unearth patterns.

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Background: Remote measurement technologies (RMTs) such as smartphones and wearables can help improve treatment for depression by providing objective, continuous, and ecologically valid insights into mood and behavior. Engagement with RMTs is varied and highly context dependent; however, few studies have investigated their feasibility in the context of treatment.

Objective: A mixed methods design was used to evaluate engagement with active and passive data collection via RMT in people with depression undergoing psychotherapy.

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Background: Remote measurement technologies, such as smartphones and wearable devices, can improve treatment outcomes for depression through enhanced illness characterization and monitoring. However, little is known about digital outcomes that are clinically meaningful to patients and clinicians. Moreover, if these technologies are to be successfully implemented within treatment, stakeholders' views on the barriers to and facilitators of their implementation in treatment must be considered.

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Remote Measurement Technologies (RMTs) could revolutionise management of chronic health conditions by providing real-time symptom tracking. However, the promise of RMTs relies on user engagement, which at present is variably reported in the field. This review aimed to synthesise the RMT literature to identify how and to what extent engagement is defined, measured, and reported, and to present recommendations for the standardisation of future work.

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