• 한국안전학회지
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• 제31권6호
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• pp.1-5
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• 2016

A bicycle is one of the most popular sporting goods in view of a sport activity and a human health. Metallic materials such as steel, aluminum, etc. were mainly used to the bicycle fork in the past. Nowadays, the carbon fiber reinforced composite materials are widely used to the manufacturing of a bicycle fork to reduce the weight and to increase the efficiency. Safety is a most important design parameter of a bicycle fork even if the weight and cost reduction are important. Bicycle failure may happen at the critical spot of a bicycle fork and cause the accident. In this paper, the composite bicycle fork will be analyzed to secure the safety and detect a critical spot by using the finite element method with Tsai-Wu failure criterion. The stress data were obtained for the laminated composites with various number of plies and fiber orientation under the bending load. Thus, design concept of a bicycle fork was proposed to secure the safety of a bicycle. The finite element analysis results show that the connection area between a steer tube and a fork blade is critical spot, and 75 or more layers of 0 degree are needed to secure the safety of a bicycle fork.

• Asian Pacific Journal of Cancer Prevention
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• 제17권1호
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• pp.323-333
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• 2016

Background: Ovarian cancer remains a major worldwide health care issue due to the lack of satisfactory diagnostic methods for early detection of the disease. Prior studies on the role of serum cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) in detecting ovarian cancer presented conflicting results. New tools to improve the accuracy of identifying malignancy are urgently needed. We here aimed to evaluate the diagnostic utility of tissue CA125 and HE4 gene expression in comparison to serum CA125 and HE4 in discriminating benign from malignant pelvic masses. Materials and Methods: One-hundred Egyptian women were enrolled in this study, including 60 epithelial ovarian cancer (EOC) patients and 20 benign ovarian tumor patients, as well as 20 apparently healthy women. Preoperative serum levels of CA125 and HE4 were measured by immunoassays. Tissue expression levels of genes encoding CA125 and HE4 were determined by quantitative real time polymerase chain reaction (qRT-PCR). The diagnostic performance of CA125 and HE4, measured either as mRNA or protein levels, was evaluated by receiver operating characteristic (ROC) curves. Results: The serum CA125+HE4 combination and serum HE4, with area under the curve (AUC) values of 0.935 and 0.932, respectively, performed significantly better than serum CA125 (AUC=0.592; P<0.001). Tissue CA125 and HE4 (AUC=1) performed significantly better than serum CA125 (P<0.001), serum HE4 (P=0.016) and the serum CA125+HE4 combination (P=0.018). Conclusions: Measurement of tissue CA125 and HE4 gene expression not only improves discriminatory performance, but also broadens the range of differential diagnostic possibilities in distinguishing EOC from benign ovarian tumors.

• Asian Pacific Journal of Cancer Prevention
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• 제17권12호
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• pp.5159-5164
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• 2016

Objective: The dynamics of morbidity, disability and death rates due to malignant neoplasms in the population in Uralsk city of the Republic of Kazakhstan were studied for 2011-2015, with a focus on age and sex, as well as tumor location. Methods: Statistics for total morbidity, primary disability and mortality from cancer in the adult population of the city of Uralsk for 2011-2015 were calculated per 100 thousand. Estimation of morbidity was based on data from form - $N{\underline{o}}12$ ${\ll}$Report on the number of diseases registered in patients living in the area of health care organizations and patient population under medical observation". Evaluation of primary disability was based on form $N{\underline{o}}7$ ${\ll}$The distribution of newly recognized disabled by disease class, age, sex and disability groups" for 2011-2015 in Ural city and analysis of cancer was carried out using annual form 7 "Report on the sick, and diseases of malignant neoplasms". Result: The most common localizations of cancer were the trachea, bronchi, lungs, stomach and mammary glands. High death rates were noted for patients with cancer of the trachea, bronchi, lung, as compared to stomach and esophagus. Conclusion: The results of our investigation and data in the literature indicate that regional characteristics influence the impact of risk factors associated with cancer. An unfavorable environmental background contributes to ill health of urban populations, contributing to development of cancer. Moreover behavioral risk factors are very important, such as smoking, alcohol drinking, and an unhealthy diet. All these factors require urgent adoption of a package of measures for prevention, early detection and timely treatment. Detailed study of cancer is necessary to develop national programs and activities for prevention and control.

• Clinical and Experimental Pediatrics
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• 제59권sup1호
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• pp.133-138
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• 2016

Anti-N-methyl D-aspartate receptor (anti-NMDAR) encephalitis, recently recognized as a form of paraneoplastic encephalitis, is characterized by a prodromal phase of unspecific illness with fever that resembles a viral disease. The prodromal phase is followed by seizures, disturbed consciousness, psychiatric features, prominent abnormal movements, and autonomic imbalance. Here, we report a case of anti-NMDAR encephalitis with initial symptoms of epilepsia partialis continua in the absence of tumor. Briefly, a 3-year-old girl was admitted to the hospital due to right-sided, complex partial seizures without preceding febrile illness. The seizures evolved into epilepsia partialis continua and were accompanied by epileptiform discharges from the left frontal area. Three weeks after admission, the patient's seizures were reduced with antiepileptic drugs; however, she developed sleep disturbances, cognitive decline, noticeable oro-lingual-facial dyskinesia, and choreoathetoid movements. Anti-NMDAR encephalitis was confirmed by positive detection of NMDAR antibodies in the patient's serum and cerebrospinal fluid, and her condition slowly improved with immunoglobulin, methylprednisolone, and rituximab. At present, the patient is no longer taking multiple antiepileptic or antihypertensive drugs. Moreover, the patient showed gradual improvement of motor and cognitive function. This case serves as an example that a diagnosis of anti-NMDAR encephalitis should be considered when children with uncontrolled seizures develop dyskinesias without evidence of malignant tumor. In these cases, aggressive immunotherapies are needed to improve the outcome of anti-NMDAR encephalitis.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.1-10
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• 2020

The image analysis is an important and predominant task for classifying the different parts of the image. The analysis of complex image analysis like histopathological define a crucial factor in oncology due to its ability to help pathologists for interpretation of images and therefore various feature extraction techniques have been evolved from time to time for such analysis. Although deep reinforcement learning is a new and emerging technique but very less effort has been made to compare the deep learning and deep reinforcement learning for image analysis. The paper highlights how both techniques differ in feature extraction from complex images and discusses the potential pros and cons. The use of Convolution Neural Network (CNN) in image segmentation, detection and diagnosis of tumour, feature extraction is important but there are several challenges that need to be overcome before Deep Learning can be applied to digital pathology. The one being is the availability of sufficient training examples for medical image datasets, feature extraction from whole area of the image, ground truth localized annotations, adversarial effects of input representations and extremely large size of the digital pathological slides (in gigabytes).Even though formulating Histopathological Image Analysis (HIA) as Multi Instance Learning (MIL) problem is a remarkable step where histopathological image is divided into high resolution patches to make predictions for the patch and then combining them for overall slide predictions but it suffers from loss of contextual and spatial information. In such cases the deep reinforcement learning techniques can be used to learn feature from the limited data without losing contextual and spatial information.

• 한국항행학회논문지
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• 제16권2호
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• pp.297-306
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• 2012

본 논문에서는 NLOS(non-line-of-sight) 환경에서 신뢰성 있는 LBS(location based service)를 제공하기 위해, TDOA(time difference of arrival) 위치 추정 성능 향상을 위한 시간 지연 역추적 기법을 제안하고, 다양한 사용조건에서 성능을 분석하였다. 제안하는 위치 추정 기법은 탐색영역 주변에 복수의 리더를 배치하여 송신된 신호를 리더 조합(reader combination) 수만큼 재활용 하는 방안을 적용하였다. 또한, NLOS에 의한 성능 열화를 개선하기 위해 리더가 수신한 시간에서 일정한 시간 간격을 빼주면서 위치를 재추정하는 기법을 적용하였다. 실험 결과 제안하는 시간 지연 역추적 기법을 적용하였을 때, NLOS 시간 지연 70 m에서 NLOS 리더를 3개로 가정하고 Sub-blink 수를 3회로 하였을 때 약 16 m의 RMSE 개선을 확인 할 수 있었다. 이와 같은 결과를 통해 NLOS 환경에서 LBS 서비스 제공을 위해 요구되는 위치 추정 기법으로 본 논문에서 제안하는 시간 지연 역추적 기법이 적합함을 확인하였다.

• 한국산림과학회지
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• 제97권4호
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• pp.357-362
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• 2008

국내 산양삼과 인삼 종자의 형태적 형질과 안정성 동위원소를 비교하였다. 산양삼 10개 산지와 인삼 2개 산지에서 종자를 채집하여 종자의 길이, 폭, 두께, 그램당 립수를 측정하였으며, 탄소, 질소 안정성 동위원소비를 분석하였다. 산양삼 종자의 형태적 형질과 안정성 동위원소비는 지역간에 중복되는 변이를 나타냈다. 금산지역의 산양삼과 인삼을 비교한 결과, 산양삼 종자는 인삼과 비교하여 유의하게 크기가 작고 무게가 가벼웠으며, 질소 동위원소비는 산양삼 종자에서 낮았다. 유사한 지역 환경에서 산양삼과 인삼 종자는 형태적으로 구분할 수 있었고, 산양삼 종자의 질소 동위원소비는 경작 유형을 반영하였으나, 지역간 절대적 비교는 할 수 없었다.

• 한국항해항만학회지
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• 제32권3호
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• pp.215-221
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• 2008

구조물의 대표적 동적특성인 고유진동수 및 모드형상은 손상평가, 구조계추정기법 등과 결합한 구조건전성 평가분야에서 매우 중요한 기초 자료로 활용되고 있다. 그러나 해양구조물이나 대경간 교량과 같은 대형 구조물의 경우 진동원을 정확히 계측하기 힘들기 때문에 소규모의 구조물에 많이 쓰이는 기존의 모달 테스트 기법으로는 구조물의 진동특성을 구할 수 없다. 본 논문에서는 경간이 긴 대형 트러스 구조물을 대상으로 가속도 응답만으로 고유진동수 및 모드형상을 추출할 수 있는 방법을 연구하였다. 트러스 구조물의 수치해석 모델을 이용하여 가속도 응답 및 주파수 응답함수의 생성과정, 모드분석을 통한 고유진동수 및 모드형상 추출과정을 상세히 설명하였다. 제안한 방법으로 얻은 모드형상은 고유치 해석으로부터 계산된 모드형상과 비교하여 정확성을 검증하였으며, 모의 손상을 통한 손상평가기법에 적용하여 타당성을 입증하였다.

• Investigative Magnetic Resonance Imaging
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• 제19권1호
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• pp.37-46
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• 2015

Purpose: This report compared the diagnostic effectiveness between ultrasmall superparamagnetic iron oxide (USPIO) and gadolinium (Gd) based magnetic resonance imaging (MRI) for differentiation of axillary status in breast cancer patients. Materials and Methods: The present authors performed a meta-analysis of previous studies that compared USPIO or Gd based MRI with histological diagnosis after surgery or biopsy. We searched PubMed, EMBASE, Cochrane Library, ScienceDirect, SpringerLink, Ovid databases and references of articles to identify studies reporting data until December 2013. Pooled sensitivity and specificity were calculated for every study; summary receiver operating characteristic and subgroup analysis was done. Analyses of study quality and heterogeneity were also assessed. Results: There were 14 publications that met the criteria for inclusion in our meta-analysis. USPIO based MRI showed 0.83 (95% CI: 0.75-0.89) and 0.97 (95% CI: 0.94-0.98) for pooled sensitivity and specificity, respectively. Gd based MRI represented pooled sensitivity and specificity of 0.61 (95% CI: 0.55-0.67) and 0.90 (95% CI: 0.87-0.92) for each. Overall weighted area under the curve for USPIO and Gd based MRI were 0.9563 and 0.9051, respectively. Conclusion: USPIO based MRI had a tendency toward high pooled sensitivity and specificity in detection of axillary metastases for breast cancer. This result may mean that USPIO based MRI could be used as complementary modality to differentiate axillary status more precisely, and assist in the decision-making process regarding possible invasive procedures, such as sentinel node biopsy.

• 한국재료학회지
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• 제11권4호
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• pp.247-250
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• 2001

광이 입사되는 수광면에 그물망(web)모양의 얕은 $P^{+}$ -diffusion 영역을 갖는 새로운 구조의 적색광 검출 Si pin photodiode를 제작하고 그 특성을 분석하였다. 제작된 소자의 전기.광학적 특성을 -5V의 동작전압에서 측정한 결과, 접합 커패시턴스와 암전류는 각각 4pF와 235pA로 나타났으며 670nm의 중심파장을 갖는 1.6㎼의 입사광 전력 아래에서 광신호 전류와 감도특성은 각각 0.48$\mu\textrm{A}$와 0.30A/W로 나타났다. 제작된 소자는 종래의 circular type photodiode에 비해 개선된 감도 특성을 나타내었으며 670~700nm의 파장영역에서 최대 spectral response를 보였다. 본 연구에서의 web-patterned Si photodiode는 red light optics 응용에서 디지털 신호처리시 우수한 신호분리 능력을 나타낼 것으로 기대된다.