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Yuying Chen on Muck Rack

Yuying Chen

As seen in: Nature, Wiley Online Library, Journal of Automated Methods and Management in Chemistry, Memory Studies, ScienceDirect, Frontiers, Frontiers in Public Health, MDPI, Taylor & Francis Online, ACS Publications and
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Articles

thousands of drones reimagine taipei’s skyline as an urban exhibition canvas

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By Yuying Chen
| designboom Verified
COMPUTEX x InnoVEX Drone Show: an Urban Canvas Reimagined Project Director and Creative Producer Yu-Ying Chen extends the 2026 COMPUTEX × InnoVEX exhibition beyond the convention center with a large-scale drone performance staged over Taipei’s Xinyi District. Set against the backdrop of TAIPEI 101, the project transforms the city’s skyline into a temporary exhibition space, combining aerial choreography, architecture, and digital media through a fleet of 1,000 LED drones.
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Evolving Demographics and Injury Characteristics of US Traumatic Spinal Cord Injury, 1972–2024

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By Yuying Chen, Jennifer Coker, Amanda L. Botticello
| Archives of Physical Medicine and Rehabilitation Verified
Key Words Epidemiology Rehabilitation Spinal cord injuries Trends List of abbreviations AIS (American Spinal Injury Association Impairment Scale) COVID-19 (Coronavirus Disease 2019) ISNCSCI (International Standards for Neurological Classification of Spinal Cord Injury) SCIMS (Spinal Cord Injury Model Systems) SES (socioeconomic status) tSCI (Traumatic spinal cord injury) US (United States) Get full text access Log in, subscribe or purchase for full access. REFERENCES 1.
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City- and county-level gaps in diabetes mortality improvement in the southeastern coastal region of China from 2005 to 2020, with provincial-level projections to 2030

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By Xiuquan Lin, Chenglin Yang, Yuying Chen, Wenling Zhong, Weimin Ye, Shaofen Huang, Yanrong Yin
| Frontiers in Public Health Verified
Abstract Objectives: The growing health and economic burden of diabetes in China is a result of fast urbanization and lifestyle changes. This highlights the critical need for a comprehensive analysis of epidemiological patterns and forecasts in order to achieve the “Healthy China 2030” goals. Methods: Socio-Demographic Index (SDI) factors were used to evaluate data on diabetes mortality and YLL (2005–2020) for adults in 84 Fujian counties.
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