This document discusses the health impacts and policy implications of fine particulate matter (PM2.5) in South Korea. It highlights how exposure to PM2.5, particularly during pregnancy, increases the risk of infant mortality and affects respiratory function in the elderly. The document also outlines the need for differentiated policies to manage air quality based on the characteristics of particulate matter.
This document provides an overview of programs that support startups in Korea run by VentureSquare. It describes VentureSquare's media, events, acceleration programs, consulting services and information resources for startups. The media section notes they have published over 6,500 articles on startups and introduced over 600 startups. The events section describes conferences and recruiting events held twice yearly. The acceleration section outlines government-sponsored accelerator programs VentureSquare operates. It also lists global programs and resources for startups to access funding, investments and support.
This document discusses using Bayesian networks for predictive analysis and machine learning perspectives on data utilization. It provides an example of using Bayesian networks to accurately predict incident clearance time based on variables like type of incident, number of police/ambulance vehicles, number of injuries, and number of vehicles involved. The document also discusses applying Bayesian networks by collecting current situation data as evidence to perform inference on a constructed inference model.
The document discusses the potential applications and benefits of flexible displays in various technologies such as wearable devices, smartphones, and glasses. It highlights the innovative designs that allow for user interaction, personalization, and improvements in user experience across multiple contexts. The exploration includes instances of future UX concepts and ideas for enhancing communication and interactivity through these flexible technologies.
This document discusses the health impacts and policy implications of fine particulate matter (PM2.5) in South Korea. It highlights how exposure to PM2.5, particularly during pregnancy, increases the risk of infant mortality and affects respiratory function in the elderly. The document also outlines the need for differentiated policies to manage air quality based on the characteristics of particulate matter.
This document provides an overview of programs that support startups in Korea run by VentureSquare. It describes VentureSquare's media, events, acceleration programs, consulting services and information resources for startups. The media section notes they have published over 6,500 articles on startups and introduced over 600 startups. The events section describes conferences and recruiting events held twice yearly. The acceleration section outlines government-sponsored accelerator programs VentureSquare operates. It also lists global programs and resources for startups to access funding, investments and support.
This document discusses using Bayesian networks for predictive analysis and machine learning perspectives on data utilization. It provides an example of using Bayesian networks to accurately predict incident clearance time based on variables like type of incident, number of police/ambulance vehicles, number of injuries, and number of vehicles involved. The document also discusses applying Bayesian networks by collecting current situation data as evidence to perform inference on a constructed inference model.
The document discusses the potential applications and benefits of flexible displays in various technologies such as wearable devices, smartphones, and glasses. It highlights the innovative designs that allow for user interaction, personalization, and improvements in user experience across multiple contexts. The exploration includes instances of future UX concepts and ideas for enhancing communication and interactivity through these flexible technologies.