BACKGROUND Increasing evidence suggests that ultrafine particles (UFPs) may contribute to cardiorespiratory morbidity. We examined the relationship between near road UFPs and several traffic and built environment factors to identify predictors that may be used to estimate exposures in population-based studies. Black carbon (BC) was also examined. METHODS Data were collected on up to 6 occasio...

Identifying patterns and drivers of regional land use changes is crucial for supporting land management and planning. Doing so for mountain ecosystems in East Asia, such as the So-yang River Basin in South Korea, has until now been a challenge because of extreme social and ecological complexities. Applying the techniques of geographic information systems (GIS) and statistical modeling via multi...

Spectrum zoning is the problem faced by regulators: how to allocate different bands to different rules for radio operation. This problem has largely fallen through the cracks since to the extent that they even recognize the problem’s existence, traditional communities have viewed this as “somebody else’s problem.” Engineers/information-theorists assume that economists/lawyers will handle this a...

Handwritten Character Recognition (HCR) is one of the challenging processes. Automatic recognition of handwritten characters is a difficult task. In this paper, we have presented a scheme for offline handwritten Gurmukhi character recognition based on CNN classifier. The system first prepares a skeleton of the character, so that feature information about the character is extracted. CNN based ap...

In order to meet the needs of the control-unit-based water pollution prevention problem in China, we proposed a comprehensive control unit zoning method with the combined basic administrative region and objective watershed management. The method can effectively connect the natural characteristics of watershed water sources, three-level zoning of water resources, and comprehensively consider the...

Argumentative Zoning (AZ) – analysis of the argumentative structure of a scientific paper – has proved useful for a number of information access tasks. Current approaches to AZ rely on supervised machine learning (ML). Requiring large amounts of annotated data, these approaches are expensive to develop and port to different domains and tasks. A potential solution to this problem is to use weakl...