An ontology can be seen as a hierarchical description of concepts in a specific domain. One of the key issues in ontology construction is the acquisition of ontology hierachy. Manual construction of ontology by experts is time-consuming and costly, and timely update is also difficult. In automatic or semi-automatic methods, the general procedure of ontology construction is to first obtain domai...

Background: Nonmarket stated preferences valuation, especially discrete choice experiments (DCEs), is one of the commonly used techniques in the health sector. The primary purpose of this approach is to help select attributes and attributes-levels that are able to properly describe health care products or services. This study aimed at developing attributes and attributes-levels for basic health...

The face is an important part of the identity of a person. Numerous applications benefit from the recent advances in prediction of face attributes, including biometrics (like age, gender, ethnicity) and accessories (eyeglasses, hat). We study the attributes’ relations to other attributes and to face images and propose prediction models for them. We show that handcrafted features can be as good ...

Research collaborations are the norm in science today, and usually evaluated using co-authorships as unit of analysis. have been typically analyzed a mapping perspective that focuses on countries, institutions, or individuals, by assessments determinants research collaboration, i.e., who engages collaborates most. One analytical has used less frequently is homophily perspective, which attempts ...

The move to outcome-based education for professional degrees has placed an emphasis on defining what constitutes competencies a profession. A review of the literature shows development frameworks that encompass knowledge, clinical skills, and attributes regarded as necessary veterinary graduates. It follows responsibility ensure students have these competencies. This study used explanatory mixe...

Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT, MRI) or of its metabolism (PET). However, evaluation of acquired images made by human expert is usually subjective and qualitative only. Quantitative analysis of MR data, including tissue classification and segmentation, is necessary to perform e.g. attenuation compensation, motion detection, and correct...

The number of travel-acquired dengue infections has seen a consistent global rise over the past decade. An increased volume of international passenger air traffic originating from regions with endemic dengue has contributed to a rise in the number of dengue cases in both areas of endemicity and elsewhere. This paper reports results from a network-based risk assessment model which uses internati...

Large format digital camera (LFDC) systems are becoming more broadly available and regularly collect image data over large areas. Spectral and radiometric attributes of imagery from LFDC systems make this type of image data appropriate for semi-automated change detection. However, achieving accurate spatial co-registration between multitemporal image sets is necessary for semi-automated change ...

Category learning plays a crucial role in cognition because the acquired concepts are used later for categorization, explanation, communication, problem solving, and inference. However, there is little information about how category learning can affect previously acquired concepts. This issue is especially interesting when one considers items that belong to multiple categories, items that can b...

In recent studies of semantic representation, two distinct sources of information from which we can learn word meanings have been described. We refer to these as attributional and distributional information sources. Attributional information describes the attributes or features associated with referents of words, and is acquired from our interactions with the world. Distributional information d...