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Interaction of Body Mass Index and Diabetes as Modifiers of Cardiovascular Mortality in a Cohort Study

  • Ma, Seung Hyun;Park, Bo-Young;Yang, Jae Jeong;Jung, En-Joo;Yeo, Yohwan;Whang, Yungi;Chang, Soung-Hoon;Shin, Hai-Rim;Kang, Daehee;Yoo, Keun-Young;Park, Sue Kyung
    • Journal of Preventive Medicine and Public Health
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    • v.45 no.6
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    • pp.394-401
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    • 2012
  • Objectives: Diabetes and obesity each increases mortality, but recent papers have shown that lean Asian persons were at greater risk for mortality than were obese persons. The objective of this study is to determine whether an interaction exists between body mass index (BMI) and diabetes, which can modify the risk of death by cardiovascular disease (CVD). Methods: Subjects who were over 20 years of age, and who had information regarding BMI, past history of diabetes, and fasting blood glucose levels (n=16 048), were selected from the Korea Multi-center Cancer Cohort study participants. By 2008, a total of 1290 participants had died; 251 and 155 had died of CVD and stroke, respectively. The hazard for deaths was calculated with hazard ratio (HR) and 95% confidence interval (95% CI) by Cox proportional hazard model. Results: Compared with the normal population, patients with diabetes were at higher risk for CVD and stroke deaths (HR, 1.84; 95% CI, 1.33 to 2.56; HR, 1.82; 95% CI, 1.20 to 2.76; respectively). Relative to subjects with no diabetes and normal BMI (21 to 22.9 $kg/m^2$), lean subjects with diabetes (BMI <21 $kg/m^2$) had a greater risk for CVD and stroke deaths (HR, 2.83; 95% CI, 1.57 to 5.09; HR, 3.27; 95% CI, 1.58 to 6.76; respectively), while obese subjects with diabetes (BMI ${\geq}25kg/m^2$) had no increased death risk (p-interaction <0.05). This pattern was consistent in sub-populations with no incidence of hypertension. Conclusions: This study suggests that diabetes in lean people is more critical to CVD deaths than it is in obese people.

Sesquiterpene Lactones: A Review of Biological Activities (세스퀴테르펜 락톤류: 생리활성 재검토)

  • Karadeniz, Fatih;Oh, Jung Hwan;Kong, Chang-Suk
    • Journal of Life Science
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    • v.31 no.4
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    • pp.430-441
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    • 2021
  • Sesquiterpene lactones (STLs) are terpenoids found mostly in the Asteraceae family and are known for their strong cytotoxic properties, among other notable bioactivities. Some STLs, such as artemisinin and mipsagargin, are already commercially available and are used to fight malaria and tumor growth, respectively. Although the interest in STLs was low for a time after their discovery due to their toxic nature, past decades have witnessed a soar in STL-based studies focused on developing novel pharmaceuticals via chemical diversification. These studies have reported several promising physiological effects for STLs, including lower toxicity and diverse modes of action, and have demonstrated the antimicrobial, antioxidant, hepatoprotective, antiviral, antiprotozoal, phytotoxic, antitumor, and antiaging properties of STLs. STLs are mainly considered as valuable natural molecules for the fight against cancer since most STLs induce death of different types of cancer cells, as shown by in vitro and in vivo studies. Some STLs can also enhance the effects of drugs that are already in clinical use. Medicinal chemists use various STLs as starting molecules for the synthesis of new STLs or different bioactive compounds. All these developments warrant future research to provide more information on STLs, their bioactivities, and their mode of action. In this context, this review has summarized the bioactivities of some of the widely studied STLs, namely artemisinin, costunolide, thapsigargin, arglabin, parthenolide, alantolactone, cynaropicrin, helenalin, and santonin.

Average Glandular Dose In Mammography

  • Kim, K.H.;Ryu, Y.C.;Oh, C.H.
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.319-321
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    • 2004
  • The average glandular dose (AGD) is determined by the breast entrance skin exposure, x-ray tube target material, beam quality (half-value layer), breast thickness, and breast composition. Almost breast cancer always arises in glandular breast tissue. As a result, the average radiation absorbed dose to glandular tissue is the preferred measure of the radiation risk associated with mammography. If the normalized average glandular dose is known, the average glandular dose can be computed from the product of the normalized average glandular dose and breast entrance skin exposure. In this study, AGD was calculated by the breast thickness and various x-ray energy (HVL) in 50% glandular 50% adipose breast by Mo.-Rh. assembly. AGD is 84 mrad in compressed 5 cm breast. These results show that as increasing the breast thickness, dose also increases. But as increasing the x-ray tube voltage, dose decreases because of high penetrating ratio through the object. But high tube voltage is reducing the subject contrast. From this result, we have to consider the trade-off between subject contrast of image and dose to the patient and choose proper x-ray energy range.

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Joint Modeling of Death Times and Counts Considering a Marginal Frailty Model (공변량을 포함한 사망시간과 치료횟수의 모형화를 위한 주변환경효과모형의 적용)

  • Park, Hee-Chang;Park, Jin-Pyo
    • Journal of the Korean Data and Information Science Society
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    • v.9 no.2
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    • pp.311-322
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    • 1998
  • In this paper the problem of modeling count data where the observation period is determined by the survival time of the individual under study is considered. We assume marginal frailty model in the counts. We assume that the death times follow a Weibull distribution with a rate that depends on some covariates. For the counts, given a frailty, a Poisson process is assumed with the intensity depending on time and the covariates. A gamma model is assumed for the frailty. Maximum likelihood estimators of the model parameters are obtained. The model is applied to data set of patients with breast cancer who received a bone marrow transplant. A model for the time to death and the number of supportive transfusions a patient received is constructed and consequences of the model are examined.

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Functional Imaging of the Multidrug Resistance In Vivo (기능적 영상술을 이용한 다약제 내성의 체내 진단)

  • Lee, Jea-Tae
    • 대한핵의학회:학술대회논문집
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    • 2001.05a
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    • pp.66-75
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    • 2001
  • Although diverse mechanisms are involved in multidrug resistance for chemotherapeutic drugs, the development of cellular P-glycoprotein(Pgp) and multidrug-resistance associated protein (MRP) are important factors in the chemotherapy failure to cancer. Various detection assays provide information about the presence of drug efflux pumps at the mRNA and protein levels. However these methods do not yield information about dynamic function of Pgp and MRP un vivo. Single photon emission tomography (SPECT) and positron emission tomography (PET) are available for the detection of Pgp and MRP-mediated transport. $^{99m}Tc$-sestaMIBl and other $^{99m}Tc$-radiopharmaceuticals are substrates for Pgp and MRP, and have been used in clinical studies for tumor imaging, and to visualize blockade of Pgp-mediated transport after modulation of Pgp pump. Colchicine, verapamil and daunorubicin labeled with $^{11}C$ have been evaluated for the quantification of Pgp-mediated transport with PET in vivo and reported to be feasible substrates with which to image Pgp function in tumors. Leukotrienes are specific substrates for MRP and N-$[^{11}C]$acetyl-leukotriene E4 provides an opportunity to study MRP function non-invasively in vivo. Results obtained from recent publications are reviewed to confirm the feasibility of using SPECT and PET to study the functionality of MDR transporters in vivo.

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A Balanced and Unbalanced Analysis of the DNA Matrix Code of The Taegeuk Pattern (태극 패턴 DNA 행렬 코드의 평형과 불평형 해석)

  • Kim, Jeong Su;Lee, Moon Ho
    • Journal of Engineering Education Research
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    • v.21 no.1
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    • pp.77-89
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    • 2018
  • The chromosomes of all the world are the same in all 24 pairs, but the key, skin color and appearance are different. Also, it is the resistance of adult disease, diabetes, cancer. In 1953, Watson, Crick of Cambridge University experimentally discovered a DNA double helix structure, and in 1962, They laureates the Nobel Prize. In 1964, Temin, University of Wisconsin, USA, experimentally identified the ability to copy gene information from RNA to DNA and received the Nobel Prize in 1975. In this paper, we analyzed 24 pairs of DNA chromosomes using mathematical matrices based on the combination order sequence of four groups, and designed the Taegeuk pattern genetic code for the first time in the world. In the case of normal persons, the middle Yin-Yang taegeuk is designed as a block circulant Jacket matrix in DNA, and the left-right and upper-lower pairs of east-west and north-south rulings are designed as pair complementary matrices. If (C U: A G) chromosomes are unbalanced, that is, people with disease or inheritance become squashed squirming patterns. In 2017, Professor Michel Young was awarded a Nobel by presenting a biological clock and experimentally explained the bio-imbalance through a yellow fruit fly experiment.This study proved mathematical matrices for balanced and unbalanced RNA.

Methodologic Issues in Using Epidemiologic Studies for Quantitative Risk Assessment

  • Stayner Leslie
    • 대한예방의학회:학술대회논문집
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    • 1994.02a
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    • pp.417-425
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    • 1994
  • Although animal studies have been used most often for quantitative risk assessment, it is generally recognized that well-conducted epidemiologic studies would provide the best basis for estimating human risk. However, there are several features related to the design and analysis of epidemiologic studies that frequently limit their usefulness for quantitating risks. The lack of accurate information on exposure in epidemiologic studies is perhaps the most frequently cited limitation of these studies for risk assessment. However. other features of epidemiologic study design, such as statistical power, length of follow-up, confounding, and effect modification, may also limit the inferences that can be drawn from these studies. Furthermore, even when the aforementioned limitations are overcome, substantial uncertainty exists concerning the choice of an appropriate statistical (or biologic) model for extrapolation beyond the range of exposures observed in a particular study. This paper focuses on presenting a review and discussion of the methodologic issues involved in using epidemiologic studies for risk assessment. This review concentrates on the use of retrospective, cohort, mortality studies of occupational groups for assessing cancer risk because this is the most common application of epidemiologic data for quantitative risk assessment (QRA). Epidemiologic data should not be viewed as a panacea for the problems inherent in using animal bioassay data for QRA. Rather, information that can be derived from epidemiologic and toxicologic studies complement one another, and both data sources need to be used to provide the best characterization of human risk.

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Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning

  • Porbadnigk, Anne K.;Gornitz, Nico;Kloft, Marius;Muller, Klaus-Robert
    • Journal of Computing Science and Engineering
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    • v.7 no.2
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    • pp.112-121
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    • 2013
  • The last years have seen a rise of interest in using electroencephalography-based brain computer interfacing methodology for investigating non-medical questions, beyond the purpose of communication and control. One of these novel applications is to examine how signal quality is being processed neurally, which is of particular interest for industry, besides providing neuroscientific insights. As for most behavioral experiments in the neurosciences, the assessment of a given stimulus by a subject is required. Based on an EEG study on speech quality of phonemes, we will first discuss the information contained in the neural correlate of this judgement. Typically, this is done by analyzing the data along behavioral responses/labels. However, participants in such complex experiments often guess at the threshold of perception. This leads to labels that are only partly correct, and oftentimes random, which is a problematic scenario for using supervised learning. Therefore, we propose a novel supervised-unsupervised learning scheme, which aims to differentiate true labels from random ones in a data-driven way. We show that this approach provides a more crisp view of the brain states that experimenters are looking for, besides discovering additional brain states to which the classical analysis is blind.

A TRUS Prostate Segmentation using Gabor Texture Features and Snake-like Contour

  • Kim, Sung Gyun;Seo, Yeong Geon
    • Journal of Information Processing Systems
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    • v.9 no.1
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    • pp.103-116
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    • 2013
  • 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 accurate detection of prostate boundaries in transrectal ultrasound(TRUS) images is required. This is a challenging and difficult task due to weak prostate boundaries, speckle noise and the short range of gray levels. In this paper a method for automatic prostate segmentation in TRUS images using Gabor feature extraction and snake-like contour is presented. This method involves preprocessing, extracting Gabor feature, training, and prostate segmentation. The speckle reduction for preprocessing step has been achieved by using stick filter and top-hat transform has been implemented for smoothing the contour. A Gabor filter bank for extraction of rotation-invariant texture features has been implemented. A support vector machine(SVM) for training step has been used to get each feature of prostate and nonprostate. Finally, the boundary of prostate is extracted by the snake-like contour algorithm. A number of experiments are conducted to validate this method and results showed that this new algorithm extracted the prostate boundary with less than 10.2% of the accuracy which is relative to boundary provided manually by experts.

Environment and Health: An Overview of Current Trends at WHO and OECD (국제기구의 환경보건 분야 동향)

  • Park, Jeongim
    • Journal of Environmental Health Sciences
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    • v.39 no.4
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    • pp.299-311
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    • 2013
  • Background: Environmental hazards are responsible for as much as a quarter of the total world-wide burden of disease. Therefore, appropriate management of environmental hazards is a critical part of the effort to improve human health. This review aims to summarize current issues, topics, and programs at international institutions such as the World Health Organization (WHO) and the Organization for Economic Cooperation and Development (OECD) in the area of environmental health. Results: The WHO European Center for Environmental Health (ECEH) plays a significant role in implementing environmental health policies and also takes the lead in related issues in Europe. It has developed an Environmental Health Information System and environmental health inequality indicators. In the environmental health area, the OECD focuses most on chemical management programs. It foresees that air pollution and chemical risk management will become the leading environmental health issues if appropriate measures are not taken. Several topics were identified that require greater effort in Korea, including cancer as an environment-related disease, an environmental health information system, and environmental health inequality issues. Conclusions: More active roles are expected from Korea in international societies, in part because of the introduction of the Environmental Health Act of 2008, and active involvement in related activities in WHO WPRO/SEARO. Understanding recent developments and concerns at major international organizations like WHO and the OECD will assist in the implementation of effective international collaboration and the identification of a better strategies for improving environmental health performances in Korea.