• Journal of Genetic Medicine
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• v.5 no.1
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• pp.1-6
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• 2008

Knowledge of developmental biology is essential for clinicians who seek to develop a rational approach to the diagnostic evaluation of patients with birth defects. After an accurate diagnosis, a clinician can make predictions about prognosis, recommend management options, and provide an indication of recurrence risk for the parents and relatives. In this paper, we first review the basic mechanisms of embryological development and clinical dysmorphology. We then review cellular and molecular mechanisms in development and related congenital anomalies. Developmental anomalies have a major impact on public health. Genetic counseling and prenatal diagnosis, with the option to continue or to terminate a pregnancy, are important for helping families faced with the risk of a serious congenital anomaly in their offspring. Moreover, primary prevention of birth defects, for example, supplementation of prenatal folic acid and prevention of consumption of alcohol which has teratogenic effects, can be accomplished using developmental biology knowledge.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.20 no.5
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• pp.1411-1418
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• 1996

Large scale plants are equipped with a number of the rotating machineries which ocuupy important positions in the plant system. Therefore, the most important one is a vibraiton diagnostic thchnology which can detect quickly any abnormal symptom of operating malfunction and guve operational and inspection guides adequately. A new diagnosis method is developed in this paper, in which the fuzzy set theory is introduced to diagnose the defects of ratating machinery. The selection of memgership function and the fuzzy operation model are discussed in datail here. The systme is sucessfully used for various defacts diagnosis of rotating machinery. The result indicate that realixtic application can be builtusing this approach.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.3
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• pp.42-51
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• 1999

An experimental modeling of cutting and structural dynamics and the on-line detection of malfunction process is substantial not only for the investigation of the static and dynamic characteristics of cutting process but also for the analytic realization of diagnostic systems. In this regard, We have discussed on the comparative assessment of two recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision round shape machining such as turning, drilling and boring in mold and die making. In this study, simulation and experimental work were performed to show the malfunctioned behaviors. For this purpose, two new recursive approach (REIVM, RLSM) were adopted fur the on-line system identification and monitoring of a machining process, we can apply these new algorithm in real process for the detection of abnormal machining behaviors such as chipping, chatter, wear and round shape lobe waviness.

• 대한핵의학회:학술대회논문집
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• 1999.05a
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• pp.200-204
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• 1999

Rheumatoid arthritis (RA) is o chronic inflammatory disease of joints with proliferation of synovial epithelial tissue. Therapeutic approach of the RA consists of pharmacological and surgical interventions. Synovectomy is indicated in patients with progressive inflammatory signs and symptoms intractable to medical treatment including local intracavitary steroid injection. Recently, local injection of radionuclides which emit high energy beta rays are labeled with chemical compounds such as $^{90}Y,\;^{165}Dy-ferric$ hydroxide macroaggregate and have been introduced as an alternative therapeutic modality to surgical synovectomy. Holmium-166 is one of beta emitter and Ho-166-chitosan complex was developed for radiation synovectomy. Preclinical trial is on-going at our hospital using Ho-166-chitosan. The procedure and methods of preclinical trial are discussed.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.11
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• pp.1091-1100
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• 2004

This paper presents an approach for the monitoring and detection of faults in induction machine by using data fusion technique and Dempster-Shafer theory Features are extracted from motor stator current and vibration signals. Neural network is trained and Hosted by the selected features of the measured data. The fusion of classification results from vibration and current classifiers increases the diagnostic accuracy. The efficiency of the proposed system is demonstrated by detecting motor electric and mechanical faults originated from the induction motors. The results of the test confirm that the proposed system has potential for real time application.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.29 no.1
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• pp.19-23
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• 2018

Ultrasonography has increasingly moved from being a modality confined to the radiology department to an active diagnostic and therapeutic aid available to the head and neck at the point of patient care. However, the application of ultrasonography to the laryngeal disorder is very rare due to progressive age-related ossification of laryngeal cartilage and the presence of air in the lumen, which contribute to difficult conditions for transmission of the ultrasonic waves. The observation about the movements of larynx or surrounding structures is important to understand the physiology of phonation or swallowing and to diagnose the disease. Ultrasonography is a noninvasive and safe imaging technique that can be used to investigate the anatomic structures of the head and neck. Recently, the development of high-frequency ultrasonography makes it possible to apply the ultrasound in the evaluation of larynx.

• Bulletin of the Korean Chemical Society
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• v.32 no.7
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• pp.2332-2338
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• 2011

In this study, we proposed a new promising idea of utilizing moving window principal component analysis (MWPCA) as a sensitive diagnostic tool to detect the presence of peak position shift. In this approach, the moving window is constructed from a small data segment along the wavenumber axis. For each window bound by a narrow wavenumber region, separate PCA analysis was applied. Simulated spectra with complex spectral feature variations were analyzed to explore the possibility of MWPCA technique. This MWPCA-based detection of the peak shift, potentially coupled with 2D correlation analysis to provide additional verification, may offer an attractive solution.

• Clinics in Shoulder and Elbow
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• v.6 no.2
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• pp.173-177
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• 2003

Superficial lipoma was easy to diagnose, but deep lipoma, especially intraosseus lipoma, was difficult to detect pre-operatively. Intraosseous lipoma is very rare and had been difficult to differentiate from other tumors before image diagnosis was developed. Recently, the detecting ratio has increased due to advanced diagnostic tools. Preoperative diagnosis is crucial for the treatment plan and influences the approach method for excision. We experienced one case of misdiagnosis which was diagnosed as intraosseous lipoma according to the preoperative MRI but turned out to be a parosteal lipoma after the surgery.

• Toxicological Research
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• v.20 no.1
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• pp.1-11
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• 2004

Evaluation of toxicological pathology is to some extend subjective judgments by pathologist and the accuracy of pathologist's works is based on the individual training and experiences. It has been required to establish a peer review system for toxicologic pathology and these review system has been employed by various practice of toxicological pathology. It would be pointed out that the possible causes of drifts in pathology are due to 1) lack of knowledge or experience of individual pathologists, 2) poorly maintained consistence of grading among animals in study, 3) different interpretation of findings between pathologists, or 4) pathology data processing. Example cases of diagnostic errors and current practice of peer review including tissue selection criteria, documentation and problem resolution for short-term and carcinogenicity studies were introduced. For sound regulatory system and high integrity of practice in toxicological pathology, current approaches of peer review system were reviewed.

• Sleep Medicine and Psychophysiology
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• v.18 no.1
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• pp.17-22
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• 2011

Childhood narcolepsy is one of the underdiagnosed diseases even the first symptoms often appear in childhood. Making diagnosis through history taking is not always easy because the symptoms of childhood narcolepsy are different from those of adulthood. Diagnostic laboratory tests such as sleep studies, tests for human leukocyte antigens, cerebrospinal fluid hypocretin measurement should be considered when the child has excessive daytime sleepiness without cataplexy. Treatment approach should be start as early as possible to avoid secondary academic, emotional difficulties. Both pharmacological and non-pharmacological management, and close cooperation between parents and school teachers should be maintained. In the near future, childhood narcolepsy can be a key to understand the pathogenesis of narcolepsy.