• Journal of Chest Surgery
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• v.25 no.9
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• pp.943-947
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• 1992

Intramural leiomyoma is the most common benign esophageal tumor, but it is rare compared with carcinoma. Although the most common symptom is dysphagia, this tumor may not cause symptoms before attaining large size. Radiographic and endoscopic findings allow an accurate diagnosis to be made before operation in most patients. The treatment of choice is enucleation without mucosal encroachment. Recently, we experienced two cases of esophageal leiomyoma on the mid portion of esophagus and enucleation of tumors were done by blunt dissection with caution. In one case, postoperative chylothorax was complicated, but cured with conservative treatment. The tissue diagnosis was confirmed with pathological finding.

• Journal of Trauma and Injury
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• v.27 no.1
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• pp.1-4
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• 2014

Occipito-atlanto-axial subluxation is a type of high cervical injury. Misdiagnosis of this instability might cause several complications, including neurologic deficits. A radiologic evaluation must be performed and specific parameters that imply cervical instability must be confirmed. Full understanding of these parameters may prevent not only delayed diagnosis but also unexpected complication. We report a case of delayed detection of a cervical instability and emphasize the role of proper diagnosis.

• Journal of Yeungnam Medical Science
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• v.39 no.4
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• pp.278-284
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• 2022

Headache is one of the most common neurological disorders in children and adults and can cause significant distress and disability in children and their families. The spectrum of pediatric headaches is broad, and the underlying etiology is variable. The symptoms and phenotypes of headaches in children may differ slightly from those in adults. It is important to have a good understanding of headaches in children and to distinguish between primary and secondary headaches through appropriate history assessment and neurological examination. Accurate diagnosis and appropriate drug selection are helpful for effective treatment. This article reviews headaches in children and adolescents, focusing on approaches for diagnosis and management.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.1090-1094
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• 2007

The aim of this study is to estimate the cause of Cooling Tower vibration and eliminate the faults of fan with high vibration in spite of overhaul. The cause of high vibration was that the natural frequency of fan blade coincide with second blade pass frequency. To achieve reduction of Cooling Tower vibration, change motor speed from 1784rpm to 1714rpm, and then the vibration has reduced conspicuously.

• Tuberculosis and Respiratory Diseases
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• v.68 no.6
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• pp.319-327
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• 2010

Pneumonia represents a spectrum of diseases that range from community-acquired to health care-associated pneumonia. Despite advances in diagnosis, antimicrobial therapy, and supportive care, pneumonia remains an important cause of morbidity and mortality, particularly in elderly patients and in those with significant comorbidities. Community-acquired pneumonia (CAP) is the leading cause of death from infectious disease in Korea. This article provides a synopsis of recent studies regarding various types of pneumonia, with a focus on CAP.

• Clinical and Experimental Pediatrics
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• v.53 no.11
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• pp.931-935
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• 2010

Juvenile idiopathic arthritis (JIA) is comprised of a heterogeneous group of several disease subtypes that are characterized by the onset of arthritis before the age of 16 years and has symptoms lasting at least 6 weeks. The previous classification of JIA included seven different categories, whereas its current classification was compiled by the International League of the Association for Rheumatology, and replaced the previous terms of "juvenile chronic arthritis" and "juvenile rheumatoid arthritis," which were used in Europe or North America, respectively, with the single nomenclature of JIA. As mentioned above, JIA is defined as arthritis of unknown etiology that manifests itself before the age of 16 years and persists for at least 6 weeks, while excluding other known conditions. The clinical symptoms of JIA can be quite variable. Several symptoms that are characteristic of arthritis are not necessarily diagnostic of JIA and may have multiple etiologies that can be differentiated with careful examination of patient history. The disease may develop over days or sometimes weeks, thereby making the diagnosis difficult at the time of presentation. To make a clinical diagnosis of JIA, the first step is to exclude arthritis with known etiologies. Of note, late treatment due to excessive delay of diagnosis can cause severe damage to joints and other organs and impair skeletal maturation. Therefore, early detection of JIA is critical to ensure prompt treatment and to prevent long-term complications including the likelihood of disability in childhood.

• Clinical and Experimental Pediatrics
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• v.50 no.2
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• pp.132-137
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• 2007

Patients with febrile illness and skin rashes need full and immediate attention. In general, these diseases show mild manifestations and good prognosis. However, causalities of some diseases with fever and rash may be life threatening or trivial. So, the differential diagnosis for those patients is extensive. A through history, a careful physical examination and close observation of clinical progress are very helpful and essential to confirming the diagnosis. Histories of recent travel, drug or specific food ingestion, exposure to human or an animal source of infection may be useful to discover the cause. Although laboratory tests can be useful in making the diagnosis, laboratory results usually are not available immediately. Knowledge and experiences of such diseases may be helpful to reduce the differential diagnosis to a few major possibilities. Rashes can be categorized as petechial, maculopapular, vesicular, urticarial and erythematous. Potential causes include infectious pathogens such as virus, bacteria, rickettsiae, spirohetes, connective tissue diseases, allergic diseases and heamto-oncologic diseases. Because the severity of these diseases can vary mild to life threatening, physicians must perform prompt management decisions regarding empirical therapies. In this article, the differential etiological diagnosis of each type rash is reviewed and discussed, and with emphasis on intensive care of life threatening febrile diseases with rashes that are seen in our country.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.165-172
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• 2009

According to the American Cancer Society, breast cancer is the second largest cause of cancer deaths and most frequently diagnosed cancer in women. The currently most popular method for early detection of breast cancer is the digital mammography. A mass or calcification lesion has been known as the most important clue for the diagnosis. In this paper, we propose a diagnosis approach based on fuzzy cluster knowledge base. We combine different two sources of feature data in duel OFUN-NET and produce the diagnosis result with possibility degree. We also present the experimental results on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. These results show higher classification accuracy than conventional methods and the feasibility as a decision supporting tool for diagnosis of digital mammogram.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.852-855
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• 1995

In modern plant lndustry, dignosis system is an essential implement because a human operator cannot check the state of system all the time. The recent facility needs a computer system which is able to replace and extense the function of the human expert. Checking the state of the plant system, the computer system uses signals form sensors attached to the plant systems. But, It is difficult to predict the cause of the failure from the sensing signals. Because the relationship among the signals cannot be easily represented by mathematical models. So expert system based on a fuzzy rule and Neural network method is sugguested. Expert system decide whether aa state of the system is ordinary of failure by the evaluation of the signals. If the state of the system is unstable, expert system preprocess the signals. When fault is occurred in the machine, the expert system dignoses the state of the system and find the cause as a primary tool. If the expert system dose not find the adequate cause successfully, neural network system uses the preprocessed signals as an input and propose a cause of the failure.

• Journal of the Korean Society of Safety
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• v.20 no.3 s.71
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• pp.53-57
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• 2005

This paper presents development of a classification system for an electrical fire investigation. In order to reduce an electrical fires and establish detailed prevention plans, the collection of an electrical fire causes and base data are very important. Based on this data, a new classification system for an electrical fire investigation was developed and the direction to the classification system was suggested by fundamental analysis. All of the collected information is analyzed by bottom-up method. Criteria items which based on base data were categorized to classify items. The classification of items were found out as follows : basic condition fire scene condition, fire sign, fire cause. Particularly, the fire cause category is classified. A new developed classification system for an electrical fire investigation will be used to analyse electrical fires easily and efficiently.