West Broad Church of Christ

Student perspectives on worship services from Instructor Jennifer Garvin-Sanchez\u27s Religious Studies 108 Human Spirituality course at Virginia Commonwealth University

Cathedral of the Sacred Heart

Student perspectives on worship services from Instructor Jennifer Garvin-Sanchez\u27s Religious Studies 108 Human Spirituality course at Virginia Commonwealth University

TripleID-Q: RDF Query Processing Framework using GPU

Resource Description Framework (RDF) data represents information linkage around the Internet. It uses Inter- nationalized Resources Identifier (IRI) which can be referred to external information. Typically, an RDF data is serialized as a large text file which contains millions of relationships. In this work, we propose a framework based on TripleID-Q, for query processing of large RDF data in a GPU. The key elements of the framework are 1) a compact representation suitable for a Graphics Processing Unit (GPU) and 2) its simple representation conversion method which optimizes the preprocessing overhead. Together with the framework, we propose parallel algorithms which utilize thousands of GPU threads to look for specific data for a given query as well as to perform basic query operations such as union, join, and filter. The TripleID representation is smaller than the original representation 3-4 times. Querying from TripleID using a GPU is up to 108 times faster than using the traditional RDF tool. The speedup can be more than 1,000 times over the traditional RDF store when processing a complex query with union and join of many subqueries.Comment: 14 page

Wat Yarn Rangsee

Student perspectives on worship services from Instructor Jennifer Garvin-Sanchez\u27s Religious Studies 108 Human Spirituality course at Virginia Commonwealth University

The Effect of Sensitivity Training on the Self-Concept of Vocational Students of Donmuang Technical College, Bangkok, Thailand

The study investigates the influence of "Sensitivity" training on the self concept of Donmuang Technical College's students in Bangkok, Thailand. One hundred and sixty third-year students of certificate level were divided at random in to two groups: experimental group and the control group. The research design was pretestpost test control group design. Each group comprised 80 students. An instrument developed by Luxpetch's self concept Rating Scale (1984) was administered to both group sat the beginning and again at the end of the sensitivity training. Analyses were made by frequencies, T-test and Chi-square test carried out on the experimental group and control group. The major findings were: 1. The students who had under gone sensitivity training had higher self-concept in terms of perceive self, ideal self and emotional adjustment than those who had not. 2. There was no significant relation ship between self-concept and gender as well as parents' occupation on the control group. Where as a significant difference was found between gender and perceived self on the experimental group

Non-invasive diagnosis of lung tuberculosis in children by single voxel 1H-magnetic resonance spectroscopy

Our previous study showed that 1H-magnetic resonance spectroscopy (1H-MRS) can detect lipid peaks characteristic for Mycobacterium tuberculosis infection in cerebral lesions of young children; therefore, we aimed to extend and validate the application of 1H-MRS for the diagnosis of active pulmonary tuberculosis lesions in three adolescent patients. Here, we document lipid peaks characteristic for M. tuberculosis infection by 1H-MRS from lung tissue surrounding lung cavities of two patients whose sputum samples were positive for acid-fast bacilli by microscopy and positive for M. tuberculosis by genetic testing, indicating active tuberculosis. A similar lipid peak was found also in the pleural effusion of a third patient with concurrent lung cavity compatible with active tuberculosis. However, in a patient with a pyogenic pulmonary abscess, 1H-MRS of the drained pus displayed different characteristic peaks but no lipid peak at all. Conclusion: Our findings further validate 1H-MRS as a rapid, non-invasive, and specific diagnostic tool for active tuberculosis in children with microbiologically documented infection outside the central nervous system, specifically in the lung

Experimental Quantification of the Image Quality Loss Due to the Effect of Screen Ruling

The purpose of this research is to measure the amount of image quality loss due to the effect of screening an image with halftone screens. This was done by using screens of different line number and images with differing amounts of image quality. Six black and white continuous tone positive originals were used to scale the image quality. These prints had been produced so as to have equal steps of image quality from the sharpest and ranging to some lower image quality which was at or slightly below a just acceptable level of image quality. Each of these images was then screened by contact screens with rulings of 85, 100, 133, 150, and 200 lines per inch. Each image was viewed by a panel of judges using the method of categories. This was the method by which the relationship between screen ruling number and image quality was determined. The conclusions were that image quality of the original was the most important factor in the quality reproduction. The relation between input and output image quality was linear in terms of overall image quality of black and white halftone prints. Next important factor in the quality reproduction was the ink density in shadow areas, The 133 line screen prints had better quality than that of the 200 line screen on the average because of this factor. Screen ruling was a minor important factor in the quality reproduction. The screen rulings from 100 to 200 lines per inch did not have so much effect toward image quality. In contrast, the screen rulings below 100 lines per inch made the quality drop noticeably

Information Extraction based on Named Entity for Tourism Corpus

Tourism information is scattered around nowadays. To search for the information, it is usually time consuming to browse through the results from search engine, select and view the details of each accommodation. In this paper, we present a methodology to extract particular information from full text returned from the search engine to facilitate the users. Then, the users can specifically look to the desired relevant information. The approach can be used for the same task in other domains. The main steps are 1) building training data and 2) building recognition model. First, the tourism data is gathered and the vocabularies are built. The raw corpus is used to train for creating vocabulary embedding. Also, it is used for creating annotated data. The process of creating named entity annotation is presented. Then, the recognition model of a given entity type can be built. From the experiments, given hotel description, the model can extract the desired entity,i.e, name, location, facility. The extracted data can further be stored as a structured information, e.g., in the ontology format, for future querying and inference. The model for automatic named entity identification, based on machine learning, yields the error ranging 8%-25%.Comment: 6 pages, 9 figure

Ontology construction and application in practice case study of health tourism in Thailand

Ontology is one of the key components in semantic webs. It contains the core knowledge for an effective search. However, building ontology requires the carefully-collected knowledge which is very domain-sensitive. In this work, we present the practice of ontology construction for a case study of health tourism in Thailand. The whole process follows the METHONTOLOGY approach, which consists of phases: information gathering, corpus study, ontology engineering, evaluation, publishing, and the application construction. Different sources of data such as structure web documents like HTML and other documents are acquired in the information gathering process. The tourism corpora from various tourism texts and standards are explored. The ontology is evaluated in two aspects: automatic reasoning using Pellet, and RacerPro, and the questionnaires, used to evaluate by experts of the domains: tourism domain experts and ontology experts. The ontology usability is demonstrated via the semantic web application and via example axioms. The developed ontology is actually the first health tourism ontology in Thailand with the published application