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      • KCI등재

        Estrogen-secreting adrenocortical carcinoma

        You Jeong,Sung Chul Cho,Hee Joon Cho,Ji Soo Song,Joon Seog Kong,Jong Wook Park,Yun Hyi Ku 영남대학교 의과대학 2019 Yeungnam University Journal of Medicine Vol.36 No.1

        Adrenocortical carcinoma is a rare type of endocrine malignancy with an annual incidence of approximately 1–2 cases per million. The majority of these tumors secrete cortisol, and a few secrete aldosterone or androgen. Estrogen-secreting adrenocortical carcinomas are extremely rare, irrespective of the secretion status of other adrenocortical hormones. Here, we report the case of a 53-year-old man with a cortisol and estrogen-secreting adrenocortical carcinoma. The patient presented with gynecomastia and abdominal discomfort. Radiological assessment revealed a tumor measuring 21×15.3×12 cm localized to the retroperitoneum. A hormonal evaluation revealed increased levels of estradiol, dehydroepiandrosterone sulfate, and cortisol. The patient underwent a right adrenalectomy, and the pathological examination revealed an adrenocortical carcinoma with a Weiss’ score of 6. After surgery, he was treated with adjuvant radiotherapy. Twenty-one months after treatment, the patient remains alive with no evidence of recurrence.

      • KCI등재

        Spatial Gap-Filling of Hourly AOD Data from Himawari-8 Satellite Using DCT (Discrete Cosine Transform) and FMM (Fast Marching Method)

        ( Youjeong Youn ),( Seoyeon Kim ),( Yemin Jeong ),( Subin Cho ),( Jonggu Kang ),( Geunah Kim ),( Yangwon Lee ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.4

        Since aerosol has a relatively short duration and significant spatial variation, satellite observations become more important for the spatially and temporally continuous quantification of aerosol. However, optical remote sensing has the disadvantage that it cannot detect AOD (Aerosol Optical Depth) for the regions covered by clouds or the regions with extremely high concentrations. Such missing values can increase the data uncertainty in the analyses of the Earth’s environment. This paper presents a spatial gap-filling framework using a univariate statistical method such as DCT-PLS (Discrete Cosine Transform-based Penalized Least Square Regression) and FMM (Fast Matching Method) inpainting. We conducted a feasibility test for the hourly AOD product from AHI (Advanced Himawari Imager) between January 1 and December 31, 2019, and compared the accuracy statistics of the two spatial gap-filling methods. When the null-pixel area is not very large (null-pixel ratio < 0.6), the validation statistics of DCT-PLS and FMM techniques showed high accuracy of CC=0.988 (MAE=0.020) and CC=0.980 (MAE=0.028), respectively. Together with the AI-based gap-filling method using extra explanatory variables, the DCT-PLS and FMM techniques can be tested for the low-resolution images from the AMI (Advanced Meteorological Imager) of GK2A (Geostationary Korea Multi-purpose Satellite 2A), GEMS (Geostationary Environment Monitoring Spectrometer) and GOCI2 (Geostationary Ocean Color Imager) of GK2B (Geostationary Korea Multi-purpose Satellite 2B) and the high-resolution images from the CAS500 (Compact Advanced Satellite) series soon.

      • A study on encapsulating probiotics through indirect carbonation using oyster shells

        ( Youjeong Lee ),( Sehun Kim ),( Myoung-jin Kim ) 한국폐기물자원순환학회 2022 ISSE 초록집 Vol.2022 No.-

        About 300,000 tons of oyster shells are produced annually in Korea, but many of them are piled up without being reused. Oyster shells are suitable for use as a source of calcium after calcination because their primary gradient is calcium carbonate. Recently, the probiotics market has been growing rapidly as interest in health has increased. Commercially distributed probiotics require encapsulation (coating), and the survival rate of probiotics varies depending on the capsule material and manufacturing process. Existing technologies necessitate multiple coatings of probiotics, mainly by adding alginate, protein, polysaccharide, and other chemicals. Such additional processing cause problems such as long manufacturing time, process complexity, and increased production cost. Furthermore, many probiotics die due to coating deformation during freeze-drying, and the number of probiotics that die in the body despite coating is considerable. In this study, we developed a technology to encapsulate probiotics with calcium carbonate produced by indirect carbonation using oyster shells as a calcium source. We added probiotics to the hydrated suspension of the calcined shells and injected carbon dioxide to produce probiotics encapsulated with calcium carbonate (PEC). It was confirmed through SEM, CLSM, and TGA analyses that the probiotics were encapsulated with calcium carbonate and the probiotics within the capsule were alive. Through indirect carbonation using oyster shells, we developed a technology for encapsulating probiotics, which was more economical than the existing probiotic coating technology. Furthermore, since the capsule shape was not deformed during the drying process of PEC and probiotics were protected from gastric juice and bile, the intestinal arrival rate of probiotics was high, enabling the efficient intake of probiotics. In addition, since the encapsulated calcium carbonate was dissolved in the body, there would be advantageous to consume calcium nutrients.

      • KCI등재

        Social media and my avatar:Can the avatar influence SNS users’ attitudes toward health message ?

        Youjeong Kim,김유정 한국헬스커뮤니케이션학회 2013 헬스커뮤니케이션연구 Vol.9 No.-

        급증하는 소셜 미디어의 대중화의 기류를 타고 많은 의사들이나 의료 서비스 제공자들이 그들의 젊은 환자들과 소통하기 위해 소셜 미디어에 참여하고 있다. 그럼에도 불구하고, 여전히 더 많은 사람들, 특히 SNS 이용자들에게 접근하기에는 좀 더 효과적인 전략이 필요한듯 하다. 이에 본 연구는 효과적인 전략을 제시하기에 앞서, 우선 어떻게 각각의 SNS(예를 들면, 페이스북, 유투브, 또는 트위터)가 건강 정보의 소스로 사용되어 왔는지 그 실태를 조사하여 기록하고, 이를 토대로 젊은 SNS 이용자들을 타켓으로 하는 효과적인 건강 커뮤니케이션에 유용한 여러가지 제안사항과 혁신적인 툴이나 적용가능한 전략들 몇가지를 소개하고자 한다. 그리고 마지막으로, 그 효과적인 툴의 하나로서 본 연구는 아바타 즉, 자신을 온라인상에서 대신할 수 있는 가상 캐릭터를 소개하고, 이 아바타가 과연 SNS 이용자들의 건강 메세지를 대하는 태도에 영향을 줄 수 있는지를 밝히고자 한다. 이를 위해, 본 연구는 자신의 아바타를 생성하고 꾸밀수 있는 서비스를 제공하는 한국의 SNS중 하나인 Cyworld를 이용하였고, 총 69명이 실험에 참여하였다. 결과는 실험참가자 자신의 실제 모습과 비슷하게 아바타를 꾸민 참가자들은(participants with actual self-resembling avatars), 자신의 이상적인 모습과 비슷하게 아바타를 꾸민 참가자들(participants with ideal self-resembling avatars)이나, 아바타가 없었던 참가자들(participants with no avatars)보다 싸이트상에 보여진 피부암 광고에 대해 좀더 높은 수준의 근심도와 긍정적 태도를 나타내었다. 본 연구는 여러가지 연구조작물의 디자인적 한계점들(예를 들면, 아바타가 만화같은 형태라든가, 아바타를 꾸미는 옵션들이 매우 제한적이었다는 등)이 있었음에도 불구하고, 젊은 SNS 이용자들을 타겟으로 하는 효과적인 건강 캠페인을 디자인하는데 실질적인 방향성을 제공했다는데(예를 들면, 다양한 아바타 타입에 따른 다양한 전략의 필요성 등) 그 의미를 찾을 수 있겠다. With the rapid increase in the popularity of social media, a number of physicians and health providers have joined social media outlets to communicate with their young adult patients. Nevertheless, it still needs more effective strategies to reach out more people, especially SNS users. The current study briefly documents how each social networking site (e.g., Facebook, Youtube, or Twitter) has been used for a health information source, and then suggests several tips and innovative applications, which might be useful for making the effective health communication targeting young SNS users. Finally, as one of innovative tools, this study introduces the use of avatar (i.e., virtual character to represent the user) for engaging SNS users in health information and empirically tests its’ effect and the role of avatar use on SNS users’ attitudes toward the information. Leveraging a Korean social networking site, Cyworld, which currently offers users to create avatars, this study (N = 69) found that participants with actual self-resembling avatars (i.e., avatars that look like participants’ current appearance) reported a higher level of anxiety and more positive attitudes toward the interactive skin cancer ad on the website than participants with ideal-self-resembling avatars (i.e., avatars that look like participants’ ideal images) and participants with no avatars. In spite of several limitations such as employing cartoon-like avatars or limited options of avatar customization, it has many practical implications (e.g., different message strategies for different avatar types) for designing effective health campaigns, particularly targeting SNS users.

      • KCI등재

        A stress intensity predictive model for reactor pressure vessel via coupled signal processing and machine learning model

        Youjeong Park,최준혁,Jae-Boong Choi,김문기 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.6

        Reactor pressure vessel (RPV) is in the center of the nuclear containment building and houses nuclear fuel, there is a risk of a nuclear power plant radiation leakage accident in the event of an earthquake. It is important to determine stress intensities that evaluate structural integrity and also analyze the seismic response of RPV in order to prevent severe disasters. We propose a stress intensity regression model using a signal extraction method and machine learning in addition to the existing method. The combined way between the methods from finite element model enables us to predict the stress intensity immediately with only signal features and properties. It could be an additional verification tool to ensure safety of nuclear power plants.

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