• Journal of Nutrition and Health
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• v.48 no.3
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• pp.221-227
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• 2015

Purpose: Confronting the growing burden of dementia requires understanding the causes and predictors of dementia in order to develop preventive strategies. In Korea a large proportion (71%) of dementia is Alzheimer's disease, and the risk factors have not yet been elucidated. Dietary factors may be possible risk factors, however research on the relationship between Alzheimer's disease and dietary behaviors has been insufficient. The purpose of this study was to investigate the association between compliance with the "Dietary Guidelines for Elderly (The Ministry of Health and Welfare, 2011)" and Alzheimer's disease among Korean elderly. Methods: Elderly persons who visited a University hospital or a dementia center of Seoul and agreed to participate in the examinations were selected. Among 277 subjects, 89 Alzheimer patients were selected with diagnosis and 118 subjects were assigned to the control group. Diagnosis of Alzheimer's disease was based on Alzheimer's disease criteria of Diagnostic and Statistical manual of Mental Disorders, 4th edition (DSM-IV) and criteria of National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and related Disorders Association (NINCDS-ADRDA). Information on the general characteristics, health related behaviors and compliance with the dietary guidelines for Korean elderly was collected by face to face interview using a structured questionnaire. Anthropometric variables were measured during the survey. Results: Total compliance score of dietary guidelines was significantly lower in the Alzheimer's disease group than in the control group (p = 0.0001). The odds ratio of Alzheimer's disease was significantly decreased in the group with the highest dietary guideline compliance score (OR = 0.47, 95 % CI = 0.18~1.09) compared to the group with the lowest compliance score. Conclusion: The results indicate that increasing compliance with the dietary guidelines could be an effective strategy to decrease the risk of Alzheimer's disease among Korean elderly.

• Journal of Korean Neurosurgical Society
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• v.42 no.1
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• pp.27-34
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• 2007

Objective : On the magnetic resonance image (MRI) of the infiltrating brain tumor, enhancement is usually higher in malignant tumor than in benign tumor, and tumor cells can invade into the peritumoral area without definite enhancement. In various pathological conditions, the blood brain barrier (BBB) becomes changed to pathological condition, allowing various materials extravasating into the interstitial space, and degree of enhancement is depend on the pathology. Authors performed dynamic MRI on enhancing and surrounding edematous area in order to evaluate the degrees of opening of BBB, to differentiate tumor from non-tumorous condition, and to determine its relationship with the recurrence of the tumor. Methods : Dynamic MRI was performed in 25 patients. Dynamic scans were done every 15 seconds after administration of Gd-DTPA on the enhancing and surrounding area for maximum 300 seconds, and the patterns of enhancement were ana lysed. The enhancement curve with initial steep increase followed by slow decrease was defined as "N pattern", those with initial steep increase followed by additional slow increase as "T pattern", and those with initial steep increase followed by plateau as "E pattern". Histopathological findings were compared with the dynamic scan. Results : The graphs taken from enhancing area showed "T pattern" regardless of pathology. In the surrounding area, "T pattern" was noticed in the malignant tumors, but "E pattern" or "N pattern" was noted in low-grade or benign tumors and non-tumorous condition. "T pattern" in the surrounding area was related to the malignant with tumor cell infiltration and recurrence. Conclusion : The results suggest that the malignant tumor infiltration changes the condition of BBB enough to extravasate the Gd-DTPA. Enhancement pattern in the surrounding edematous area may be a useful information to differentiate the malignant glioma with the low-grade and benign tumors or other non-tumorous conditions.

• Journal of Korea Multimedia Society
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• v.10 no.7
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• pp.846-855
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• 2007

Significant feature extraction in cancer cell image analysis is an important process for grading cell carcinoma. In this study, we propose a method for 3D quantitative analysis of cell nuclei based upon digital image cytometry. First, we acquired volumetric renal cell carcinoma data for each grade using confocal laser scanning microscopy and segmented cell nuclei employing color features based upon a supervised teaming scheme. For 3D visualization, we used a contour-based method for surface rendering and a 3D texture mapping method for volume rendering. We then defined and extracted the 3D morphological features of cell nuclei. To evaluate what quantitative features of 3D analysis could contribute to diagnostic information, we analyzed the statistical significance of the extracted 3D features in each grade using an analysis of variance (ANOVA). Finally, we compared the 2D with the 3D features of cell nuclei and analyzed the correlations between them. We found statistically significant correlations between nuclear grade and 3D morphological features. The proposed method has potential for use as fundamental research in developing a new nuclear grading system for accurate diagnosis and prediction of prognosis.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.187-194
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• 2012

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease, transrectal ultrasound(TRUS) images are being used because the cost is low. But, accurate detection of prostate boundaries is a challenging and difficult task due to weak prostate boundaries, speckle noises and the short range of gray levels. This paper proposes a method for automatic prostate segmentation in TRUS images using its average shape model and invariant features. This approach consists of 4 steps. First, it detects the probe position and the two straight lines connected to the probe using edge distribution. Next, it acquires 3 prostate patches which are in the middle of average model. The patches will be used to compare the features of prostate and nonprostate. Next, it compares and classifies which blocks are similar to 3 representative patches. Last, the boundaries from prior classification and the rough boundaries from first step are used to determine the segmentation. A number of experiments are conducted to validate this method and results showed that this new approach extracted the prostate boundary with less than 7.78% relative to boundary provided manually by experts.

• Journal of Chest Surgery
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• v.30 no.7
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• pp.701-707
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• 1997

Although many reseraches have been persued to detect the molecular tumor marker to define the cancer, ideal tumor marker which speak for the characteristics of malignancy and has high sensitivity and specificity is not known. One of the characteristics of the malignant cells is indefinite proliferative potential, in other word, immortality. The expression of telomerase and stabilization of te10meres are con omitant with the attaiunent of immortality in tumor cells; thus the measurement of telomerase activity in clinically obtained tumor samples may provide important information which would be useful as a diagnostic marker to detect immortal cancer cells. Telomerase activity was analyzed in 12 non-small cell . lung cancer cell lines and 41 primary non-small cell lung cancers with the use of a PCR-based assay. All the cell lines and the majority of tumors displayed telomerase activity, but telomerase was not detectable in most of the corresponding pathologically-normal tissues. Telomere length was not correlated with telomerase activity. The present study indicate that measurement of telomerase activity may be useful as a molecular tumor marker in non-small cell lung cancer.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.163-170
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• 2020

With the development of information and communication technologies, the growing volume of data is increasing exponentially, raising interest in big data. As technologies related to big data have developed, big data is being collected, stored, processed, analyzed, and utilized in many fields. Big data analytics in the health care sector, in particular, is receiving much attention because they can also have a huge social and economic impact. It is predicted that it will be able to use Big Data technology to analyze patients' diagnostic data and reduce the amount of money that is spent on simple hospital care. Therefore, in this thesis, patient data is analyzed to present to patients who are unable to go to the hospital or caregivers who do not have medical expertise with close care guidelines. First, the collected patient data is stored in HDFS and the data is processed and classified using R, a big data processing and analysis tool, in the Hadoop environment. Visualize to a web server using R Shiny, which is used to implement various functions of R on the web.

• Journal of agricultural medicine and community health
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• v.5 no.1
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• pp.5-15
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• 1980

The first recorded trypanosomiasis epidemic in Uganda took place at the beginning of this century in the islands and in a strip along the northern shores of Lake Victoria, which resulted in deaths of 1/3 million people. The disease was partly controlled by early 1930's and continued to occur sporadically in certain localized foci. The disease has however flared up in an explosive outbreak in Busoga district along Lake Victoria since 1977. The incidence of disease in northern district adjacent to Southern Sudan is also increasing lately. This paper describes the three month observation on the surveillance and control activities in the epidemic areas and of various health units including the Vector Control Division, the Tsetse fly Control Division, Tororo Trypanosomiasis Research Institute, medical units in Busoga, and Acholi districts. Data analysis and review were made of disease information so far collected by various health units in the Ministry of Health and district health offices. The findings may be summarized in the following: 1) A total of 12, 100 patients and 38 deaths: have occured in Busoga district since 1977 onward, and over 100 cases of diseases arc occuring in the Northern region bordering Southern Sudan. 2) the distribution of trypanosomiasis is characterized with two district patterns. The disease caused by Trypanosoma rhodesiense occurs in Busoga and is transmitted by Glossina palpalis, G. fuscipes infested in the islands and in the northern shore of forests of Lake Victoria. Another type caused by Trypanosoma gambiense occurs in Madi and Acholi in the north and is transmitted by Glossina morsitans in Savannah. 3) The house survey in Rusoga indicated that most of patients keep domestic animals in their house premises, and are engaging in either farming or fishing. Practically all the patients remembered that they had been bitten by tsetse in the field. 4) The routine diagnostic methods in the hospital laboratory is carried out through the microscopic examination of trypanosome with Giemsa stain of blood and cerebro-spinal fluid, The measurement of ESR and IgM has been used by Tororo Tryponosomiasis Research Institute for field screening.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9395-9404
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• 2014

Background: Primary vaginal yolk sac tumor is a rare malignancy in the pediatric population, and a diagnostic challenge and appropriate initial treatment remains unsolved. The aim of this study was to investigate the clinicopathologic features, treatment and prognosis of this tumor. Materials and Methods: Eight cases of primary vaginal yolk sac tumor were reported with a literature review. Results: There were 4 pure yolk sac tumor cases and four mixed germ cell tumors containing yolk sac tumor element, including two cases with embryonal carcinoma and two cases with embryonal carcinoma and dysgerminoma. Partial vaginectomy was performed in four cases and all patients received chemotherapy. 85 cases in literatures were reviewed and 9 cases were misdiagnosed. Follow-up data was available in 77 cases and 5-year overall survival rate was 87.6%. 5-year survival rate of biopsy with chemotherapy, conservative surgery with chemotherapy and radical surgery with chemotherapy was 91.1%, 100% and 28.6%, respectively (p<0.001). Compared to cases without relapse or metastasis after initial treatment, patients with relapse or metastasis had a shorter overall survival (35.6% vs 96.6%, p<0.001). Conclusions: Mixed germ cell tumor containing yolk sac tumor element was not uncommon and partial vaginectomy may be a good choice for primary vaginal mixed yolk sac tumor type to eradicate local tumor cells and provide complete information for pathological diagnosis and postoperative adjuvant therapy.

• Progress in Medical Physics
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• v.19 no.3
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• pp.143-149
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• 2008

The aim of this study is to suggest the method for image enhancement of digital chest radiograph and evaluate clinically the quality of the resultant image. A nonlinear iterative filter was developed in order to reduce quantum noise preserving edge. Dynamic range was adjusted and adaptive image enhancement was performed based on the property of anatomic region and the degree of compatibility with neighboring pixels. The lung fields were enhanced appropriately to visualize effectively vascular tissue, bronchus and lung tissue with the desired mediastinum enhancement. Clinic evaluation was performed by three radiologists with at least 8 years experience. The anatomic regions of 11 in PA and 9 in Lateral were observed carefully in each 100 radiographs according to ITU (International Telecommunication Union) recommendation 500 protocol. The result showed the mean 3.4 between good and adequate. This means that the clinical utility of the image quality is enough. In this study, image enhancement was carried out considering image display device and human perceptual system to prevent the loss of useful anatomic information. In order to increase the diagnostic accuracy in digital radiograph, the continuous study on image enhancement is needed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.20-28
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• 2016

A Ubiquitous City (U-city, Smart City) is one that ties information communications technologies (ICT) into many facets of city construction, thereby implicitly intending to function as a smart city that aims to be efficiently managed as well as provide an enhanced standard of living for its residents. Laws related to the construction of such ubiquitous cities point to integrated city management centers, intelligent facilities, and U-City infrastructure, among others, as central components of U-Cities, but do not provide a standard for these structures. Consequently, building of U-Cities by local governments are based on arbitrary judgments constrained the myriad of practical limitations that they face. Such ambiguity brings to light the need to find ways to improve the quality of these efforts. The first and second stages of this research examine the status of the components of a U-City -ubiquitous planning, technology, infrastructure, and services - and undertakes a comprehensive review thereof, with evaluation criteria formulated on the characteristics of stability, connectivity, goal-orientation, and development potential. In the research's third stage, a realistic and detailed evaluation index by which U-Cities can be renewed, demonstrated, and applied (???) is introduced in a step-by-step fashion, which will allow for local governments to properly assess the standard of their U-City in relation to the realities of the locality. Through the research result, it is expected that the index will become a part of the continued development and advancement of the "smart" character of an autonomous U-City at the local scale, and contribute to the overall revitalization of the U-City.