• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.505-507
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• 2018

Clozapine may be associated with cardiovascular adverse effects including QTc prolongation and, more rarely, with myocarditis and pericarditis. Although rare, these latter cardiovascular adverse effects may be life-threatening and must be immediately recognized and treated. Several cases of clozapine related-pericarditis have been described and often it has a subtle and insidious onset with symptoms that may be often misdiagnosed with psychiatric manifestations (e.g. anxiety, panic or somatization) leading to a delayed correct diagnosis with potential fatal consequences. In the present report we describe the case of a 27-year-old girl with schizoaffective disorder taking long acting aripiprazole and valproate who developed a sudden onset clozapine-related pericarditis during titration phase that resolved with immediate clozapine discontinuation and indomethacin administration. We underline the importance of an early diagnosis of clozapine-related pericarditis and the need to have monitoring protocols to prevent this potentially fatal adverse effect especially when polypharmacy is administered to patients taking clozapine.

• Journal of Korean Academy of Nursing
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• v.19 no.1
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• pp.24-39
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• 1989

This study was conducted to investigate the present situation and problems related to the use of nursing diagnosis in practice. The data were obtained from 332 subjects (27 director of nursing service, 302 staff nurses) who worked in university hospitals in Korea from July through August 1988 using a mailed questionnaire. Data were analyzed by frequency, X$^2$ test and t-test. The findings were as follows ; 1, Clinical use of nursing diagnosis by directors of nursing service and staff nurses. 1) The majority of the nursing departments (88.9%) conducted group education on nursing diagnosis during the last 5 years and 81.5% of them kept a record format for nursing diagnosis : 88.9% of them had had prior experience with the nursing diagnosis. 2) Most of nurses (97.0%) had received education on nursing diagnosis. 2. Factors related to the clinical use of nursing diagnosis in nursing service departments and by staff nurses. 1) The one factor related to the use of nursing diagnosis in the nursing service department was the existence of a record. 2) Factors related to the use of nursing diagnosis by the staff nurses were the organization style of the nursing service department, group education during the last 5 years, existence of a record, the attitude of the director of nursing service, and prior experience of the use of the nursing diagnosis as characteristics of nursing service department and educational experience of nursing diagnosis as a character of nurse. 3. Problems with the use of nursing diagnosis. 1) The primary problem was the lack of time and personnel (mean : 3.757) ; the second problem was the lack of knowledge and will to use nursing diagnosis in practice by the staff nurses(mean : 3.546). 2) There was no significant difference in problems expressed by the director of nursing services and the nurses. The majority of nurses who worked in the university hospitals expressed interest in and concern about the use of nursing diagnosis. Most of the nurses had had education about on nursing diagnosis but use in practice was limited. The primary problem was lack of time and manpower. Strategies for improving use of the nursing diagnosis in practice : 1) Strengthening the education about nursing diagnosis and a holistic approach to understanding human beings. 2) Develop protocols for the use of nursing diagnosis. 3) Eliminate the language barrier regarding nursing diagnosis by translation into in Korean. 4) Decentralization of the nursing service to promote accountability by individual nurses for use of nursing diagnosis.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.237-244
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• 2008

In this paper, an infra-structure using the ontology based on the pulse information is proposed for the context-aware service of medical information system in ubiquitous computing environment. An diagnosis service inference system that represents the pulse data which was generated by the pulse-diagnosis with wearable signal, temperature, humidity, time, and other factors as ontology with artificial intelligence methods and describes the service scenario based on the ontology is designed and implemented.

• Journal of Intelligence and Information Systems
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• v.4 no.1
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• pp.115-131
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• 1998

Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.05a
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• pp.1005-1010
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• 2000

Internet service has widely used in office automation such as, manufacturing management purchase, and material resource. Nowadays, factory automation and shop floor control system including CAD/CAM department need a web based monitoring and diagnosis to achieve global collaboration and tole-service. This raper deal with design of web based remote monitoring and diagnosis system which concerned with open architecture controller for machine tool.

• Journal of Convergence Society for SMB
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• v.6 no.4
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• pp.79-84
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• 2016

A novel diagnosis scheme PCADP(personalized computer aided diagnosis probability) is proposed to overcome the problems mentioned above. PCADP scheme is a personalized diagnosis method based on ontology and it makes the bio-data analysis just a 'process' in the Smart healthcare service system. In addition, we offer a semantics modeling of the smart healthcare ontology framework in order to describe smart healthcare data and service specifications as meaningful representations based on this PCADP. The PCADP scheme is a kind of statistical diagnosis method which has real-time processing, characteristics of flexible structure, easy monitoring of decision process, and continuous improvement.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.92-97
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• 2001

The major faults of CNC machine tool is operational error which is charge over 70%. This paper describes model of remote service and fault diagnosis for CNC machine tool with open architecture controller. For intelligent fault diagnosis, new model is proposed. In this paper, the three major operational faults, emergency stop error, cycle start disable and machine ready disable, are defined. Two diagnostic models based on the ladder diagram, switching function model, step switching function model, are proposed. For internet based remote service, suitable environment is proposed and implemented with web server and client.

• Korean Journal of Veterinary Research
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• v.45 no.1
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• pp.63-70
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• 2005

African swine fever (ASF) is an infectious disease of domestic and wild pigs for which there is no vaccine in the world. A proper surveillance of viral activity and a timely response to ASF outbreaks depend upon the rapid diagnosis of ASF viral infection. Internationally prescribed enzyme-linked immunosorbent assay (ELISA) is a fast, sensitive test routinely used in the diagnosis of the ASF. However, inactivated whole ASF virus antigen used in this test is a tedious to prepare and has a risk of outside exposure of infectious virus by laboratory accident during the preparation. An ASF virus noninfectious recombinant antigen is a safe and easily produced alternative antigen for use in diagnostic assay. We have cloned the ORF O61R gene of the ASF virus to generate a recombinant baculovirus producing the p12 protein in insect cells under control of the polyhedrin promoter as non-fusion protein. When used in an indirect ELISA, the p12 antigen showed reactivity with all known ASF positive pig sera but not with negative pig sera. Our results indicated that the p12 protein would be one of alternative antigens for diagnosis of the ASF.

• Journal of Service Research and Studies
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• v.4 no.1
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• pp.37-47
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• 2014

Researches in the services field have evolved tremendously in the last 20 years. However, researches in service innovation still follows the traditional approaches of product quality improvements. The current research reviews the relevant literature from the past, and analyzes limitations each research possess, thus suggest a service innovation framework. Also, we have developed a diagnostic tool that measures the level of service innovation driven from actual cases. The current research suggests a new road map to organizations that pursue service innovation as well as a new research direction to the researchers in the field of service innovation.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.47-58
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• 2009

The information protection security diagnosis institution was applied services since 2004, for the leveling up of public information protection and the establishment of the stability and reliability of information communication. And this security diagnosis was implemented actually on the 142 firms in 2005, the 160 firms in 2006 and the 205 firms in 2007. But this is recognized by the some firms as one of the unnecessary regulations. And there are some difficulties with collecting the subjective and reliable source data for establishing the information protection security diagnosis target. In this research, the enhanced model on the selection of information protection security diagnosis target firms was suggested by the interview with some expert and the analysis for the related actual data. By the model which are introduced from the statistical analysis of the related data and the summary of some expert's suggestions, information protection security diagnosis target can include the information telecommunication service providers taking 5 billion won as sales in a year, and web service providers like as shopping mall site, with the personal records of 2 million subscribers.