AI-Enhanced Tools and Strategies for Airborne Disease Prevention in Cultural Heritage Sites.

In the wake of the COVID-19 pandemic, the surveillance and safety measures of indoor Cultural Heritage sites have become a paramount concern due to the unique challenges posed by their enclosed environments and high visitor volumes. This communication explores the integration of Artificial Intelligence (AI) in enhancing epidemiological surveillance and health safety protocols in these culturally significant spaces. AI technologies, including machine learning algorithms and Internet of Things (IoT) sensors, have shown promising potential in monitoring air quality, detecting pathogens, and managing crowd dynamics to mitigate the spread of infectious diseases.

Optimizing the Indoor Air Quality in Historical Buildings: Strategies for Environmental Improvement and Public Health Enhancement.

The endeavor to maintain and enhance the indoor air quality (IAQ) in historical buildings transcends the traditional boundaries of cultural heritage preservation, emerging as a pivotal public health concern [...

Implementation of a Sense of Home in High-Density Multicultural Singapore Nursing Homes: Challenges and Opportunities.

Many studies have introduced principles for creating a sense of home in nursing homes, yet they mostly feature cases from low-density developments in Western countries. This raises a question about how those principles are interpreted and implemented in other cultural contexts, especially in high-density, multicultural environments such as Singapore. This paper examines how a sense of home is implemented in Singapore nursing homes, with a specific focus on the role of the built environment.