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      • KCI등재

        Trends in the prevalence and management of major metabolic risk factors for chronic disease over 20 years: findings from the 1998-2018 Korea National Health and Nutrition Examination Survey

        Yoonjung Kim,Sun Jin Nho,Gyeongji Woo,Hyejin Kim,Suyeon Park,Youngtaek Kim,Ok Park,Kyungwon Oh 한국역학회 2021 Epidemiology and Health Vol.43 No.-

        OBJECTIVES: We aimed to explore trends in the prevalence and management of obesity, hypertension, diabetes, and hypercholesterolemia in Korean adults from 1998 to 2018 using data from the Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: The study participants included 79,753 individuals aged ≥30 years who had participated in the health examination and health interview of the first (1998) to the seventh (2016-2018) KNHANES. The prevalence and management as well as annual percent change (APC) in chronic diseases were analyzed using SAS and the Joinpoint software program. RESULTS: The prevalence of obesity in men significantly increased from 26.8% in 1998 to 44.7% in 2018 (APC=1.9, p<0.001), whereas that in women decreased slightly from 30.5% in 1998 to 28.3% in 2018 (APC=-0.5, p<0.001). The prevalence of hypertension in men was 33.2% in 2018, with no significant change, whereas that in women slightly decreased to 23.1% in 2018 (APC=-0.9, p<0.001). The prevalence of diabetes in men increased slightly from 10.5% in 2005 to 12.9% in 2018 (APC=1.6, p<0.001), whereas that in women remained at approximately 8%, with no significant change. The prevalence of hypercholesterolemia in both men and women increased 3-fold in 2018 (20.9% in men [APC=8.2, p<0.001] and 21.4% in women [APC=7.1, p<0.001]) compared to that in 2005. The awareness rate, treatment rate, and control rate of hypertension and hypercholesterolemia increased 2-3 fold. Regarding diabetes, the treatment rate increased, but the control rate did not change. CONCLUSIONS: Over the past 20 years, the prevalence of obesity (in men), diabetes, and hypercholesterolemia has increased and management indicators, such as the awareness rate, treatment rate, and control rate of chronic diseases, have improved continuously.

      • SCISCIESCOPUS
      • SCOPUSKCI등재

        Human factors of UHD viewing experiences for two different age groups

        Park, YungKyung,Kim, YoonJung,Park, Daeun The Korean Infomation Display Society 2018 Journal of information display Vol.19 No.1

        In an attempt to contribute to the development of ultra-high-definition (UHD) TV viewing guidelines, the factors that may affect the image quality and visual comfort for both the adult and elderly groups were considered: viewing distance (2H, 4H, and 6H), surrounding environment (illuminance levels 0.6 and 250 lx), video content (day and night, high and low speed), and resolution (UHD and full HD). It was found that the surrounding viewing conditions affected the visual comfort of the adult group more than that of the elderly group. The young adults felt more comfortable visually watching TV in an illuminated room than in a dark room. It was also found that the higher resolution ensures satisfactory visual quality despite the deviations in the viewing distance. With the UHD resolution, the viewing distance was the most significant factor contributing to the image quality and visual comfort for both age groups. Therefore, 'visual comfort distance' was recommended considering each human factor variable for the optimal UHD TV viewing experience.

      • Solvent-free synthesis of Cu2ZnSnS4 nanocrystals: a facile, green, up-scalable route for low cost photovoltaic cells.

        Park, Bo-In,Hwang, Yoonjung,Lee, Seung Yong,Lee, Jae-Seung,Park, Jong-Ku,Jeong, Jeunghyun,Kim, Jin Young,Kim, BongSoo,Cho, So-Hye,Lee, Doh-Kwon RSC Pub 2014 Nanoscale Vol.6 No.20

        <P>Efficient Cu2ZnSnSe4 (CZTSe) solar cells were fabricated with a simple, environmentally friendly, and scalable synthetic method for Cu2ZnSnS4 (CZTS) nanocrystals. CZTS nanoparticles were mechanochemically synthesized from elemental precursors on a relatively large scale (20 g), during which no solvents or additives were used, thus alleviating the complex process of particle synthesis. An analysis of the time evolution of the crystalline phase and morphology of precursor powders revealed that the formation of the CZTS compound was completed in 0.5 h once initiated, suggesting that the mechanochemically induced self-propagating reaction prevails. CZTS ink was prepared by dispersing the as-synthesized nanoparticles in an environmentally benign solvent (160 mg mL(-1) in ethanol) without using any additives, after which it was cast onto Mo-coated glass substrates by a doctor-blade method. Subsequent reactive annealing at 560 C under a Se-containing atmosphere resulted in substantial grain growth along with the nearly complete substitution of Se. The CZTSe solar cells therefrom exhibited power conversion efficiency levels as high as 6.1% (based on the active area, 0.44 cm(2)) with a relatively high open-circuit voltage (0.42 V) in comparison with the bandgap energy of 1.0 eV.</P>

      • Influences of Extended Selenization on Cu<sub>2</sub>ZnSnSe<sub>4</sub> Solar Cells Prepared from Quaternary Nanocrystal Ink

        Hwang, Yoonjung,Park, Bo-In,Lee, Byung-Seok,Kim, Jin Young,Jeong, Jeung-Hyun,Kim, Honggon,Ko, Min Jae,Kim, BongSoo,Son, Hae Jung,Lee, Seung Yong,Lee, Jae-Seung,Park, Jong-Ku,Cho, So-Hye,Lee, Doh-Kwon American Chemical Society 2014 The Journal of Physical Chemistry Part C Vol.118 No.48

        <P>Kesterite Cu<SUB>2</SUB>ZnSnSe<SUB>4</SUB> (CZTSe) thin films prepared by the selenization of mechanochemically synthesized Cu<SUB>2</SUB>ZnSnS<SUB>4</SUB> (CZTS) nanocrystal films are systematically investigated as a function of the annealing time in terms of the phase purity, microstructure, composition, and device characteristics. It is shown that selenization for an extended time does not cause a noticeable amount of Sn loss or segregation of Zn-rich layers. Thus, the prolonged annealing leads to improvements (reduction) in the shunt conductance, reverse saturation current, and diode ideality factor. However, it also leads to a deterioration of the series resistance, of which influence turned out to overwhelm all of the aforementioned positive effects on the device performance. As a consequence, the CZTSe solar cell exhibits its highest efficiency (5.43%) at the shortest annealing time (10 min). Impedance spectroscopy is demonstrated to be of good use in detecting the change in the back contact of CZTSe solar cells during annealing. The impedance spectra of the CZTSe solar cells are analyzed in association with the microstructures of the back-contact electrodes, demonstrating that the increase in the series resistance is attributed to the formation of the resistive MoSe<SUB>2</SUB> layer.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jpccck/2014/jpccck.2014.118.issue-48/jp508028t/production/images/medium/jp-2014-08028t_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/jp508028t'>ACS Electronic Supporting Info</A></P>

      • KCI우수등재

        스마트 기기의 멀티 모달 로그 데이터를 이용한 사용자 성별 예측 기법 연구

        김윤정(Yoonjung Kim),최예림(Yerim Choi),김소이(Solee Kim),박규연(Kyuyon Park),박종헌(Jonghun Park) 한국전자거래학회 2016 한국전자거래학회지 Vol.21 No.1

        스마트 기기 사용자의 성별 정보는 성공적인 개인화 서비스를 위해 중요하며, 스마트기기로부터 수집된 멀티 모달 로그 데이터는 사용자의 성별 예측에 중요한 근거가 된다. 하지만 각 멀티 모달 데이터의 특성에 따라 다른 방식으로 성별 예측을 수행해야 한다. 따라서 본 연구에서는 스마트 기기로부터 발생한 로그 데이터 중 텍스트, 어플리케이션, 가속도 데이터에 기반한 각기 다른 분류기의 예측 결과를 다수결 방식으로 앙상블하여 최종 성별을 예측하는 기법을 제안한다. 텍스트 데이터를 이용한 분류기는 데이터 유출에 의한 사생활 침해 문제를 최소화하기 위해 웹 문서로부터 각 성별의 특징적 단어 집합을 도출하고 이를 기기로 전송하여 사용자의 기기 내에서 성별 분류를 수행한다. 어플리케이션 데이터에 기반한 분류기는 사용자가 실행한 어플리케이션들에 성별을 부여하고 높은 비율을 차지하는 성별로 사용자의 성별을 예측한다. 가속도 기반 분류기는 성별에 따른 사용자의 가속도 데이터 인스턴스를 학습한 SVM 모델을 사용하여 주어진 성별을 분류한다. 자체 제작한 안드로이드 어플리케이션을 통해 수집된 실제 스마트 기기 로그 데이터를 사용하여 제안하는 기법을 평가하였으며 그 결과 높은 예측 성능을 보였다. Gender information of a smart device user is essential to provide personalized services, and multi-modal data obtained from the device is useful for predicting the gender of the user. However, the method for utilizing each of the multi-modal data for gender prediction differs according to the characteristics of the data. Therefore, in this study, an ensemble method for predicting the gender of a smart device user by using three classifiers that have text, application, and acceleration data as inputs, respectively, is proposed. To alleviate privacy issues that occur when text data generated in a smart device are sent outside, a classification method which scans smart device text data only on the device and classifies the gender of the user by matching text data with predefined sets of word. An application based classifier assigns gender labels to executed applications and predicts gender of the user by comparing the label ratio. Acceleration data is used with Support Vector Machine to classify user gender. The proposed method was evaluated by using the actual smart device log data collected from an Android application. The experimental results showed that the proposed method outperformed the compared methods.

      • KCI등재

        New Perspective of the Beneficial Effect of Exercise on Alzheimer’s Disease: Vascular Theory

        박윤정(Yoonjung Park) 대한운동학회 2022 아시아 운동학 학술지 Vol.24 No.4

        Alzheimer’s disease (AD) is a neurodegenerative brain disease with cognitive impairment and memory loss. Worldwide, at least 50 million people are living with AD or other dementias, and it is projected it would exceed 152 million by 2050 [1]. AD is characterized by the accumulation of extracellular amyloid and intraneuronal tau tangles. To date, underlying mechanisms for AD have not been clearly determined. A new approach to fight AD has been suggested as the “Vascular Theory of AD”, which hypothesizes that malfunction of the cerebrovascular system induces cerebral amyloid angiopathy [2]. Various epidemiological studies have reported that cardiovascular risk factors are closely linked to the development and progression of AD. Chronic impairment of cerebral blood flow results in blood-brain-barrier dysfunction that ultimately causes neuronal injury/loss and the development of cognitive impairment [3]. Brain vessels maintain homeostasis of the brain through blood flow regulation, clearance of toxins, and transportation of oxygen/energy sources to brain cells. Cerebrovascular dysfunction in AD is characterized as impaired maintenance of vasodilation and vasoconstriction which is determined by communication between vascular endothelial (ECs) and smooth muscle cells (VSMCs) [4]. Exercise and physical activity have been known as non-pharmaceutical therapeutic strategies for the pathogenic phenotypes of AD. Previous studies showed that exercise training reduced AD pathology through a decrease in amyloid peptide accumulation, neuron cell death, and cognitive decline [5]. In addition, it has been well documented that exercise has beneficial effects on various vascular dysfunctions in diseases, especially through the endothelial cell. Last few decades, the positive effect of exercise on AD pathologies has been widely investigated, especially through the modulation of multiple processes in brain vessels [6]. Recently, we reported that exercise ameliorates cerebrovascular dysfunction and AD pathologies in AD mice by modulating, a novel target, purinergic receptor-mediated vasodilation. These findings suggest that exercise training, which regulates purinergic receptor-mediated vascular function in the AD brain, is a critical therapeutic strategy for AD [7]. It’s been well-known that regular physical exercise appears to be one of the best ways to reduce the risk of dementia and AD. However, its underlying mechanism is unclear. A new perspective, the vascular theory of AD, is important knowledge that Kinesiologists need to understand so that they can explain to older individuals how exercise is protective for their brain health to reduce the risk of AD.

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