http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
( Soohyun Bae ),( Kwang Won Seo ),( Soyeoun Lim ),( Jong Joon Ahn ),( Yangjin Jegal ),( Seung Won Ra ),( Taehoon Lee ),( Byung Ju Kang ),( Jin Hyoung Kim ) 대한결핵 및 호흡기학회 2019 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.127 No.-
Background: Cavitary pulmonary tuberculosis (TB) is known to remain infectious for longer periods than non-cavitary pulmonary TB, which is nearly non-infectious with two weeks anti-TB medication. However, there is verly little studies about this, so it is not known whether there is a correlation between the persistence of infectiousness and the number of cavities or volume of cavities. Objectives: The purpose of this study was to identify the quantitative computed tomography features and clinical values to predict the presistence of infectiousness in cavitary TB patients. Method: A total of 304 TB patients were selected from the cohort of TB in Ulsan university hospital. The study subjects were classified into two groups according to the Acid-fast bacilli Ziehl-Neelsen staining in sputum. The two groups were compared with respect to demographic data, clinical characteristics, sputum AFB stain, mycobacterial culture and quantitative CT values. Results: Among 304 patients, 80 were enrolled for analysis. 43 patients (54%) were positive sputum AFB stains. Compared to negative sputum AFB stain group, the positive sputum AFB stain group had more systemic symptom and larger maximal size of cavity. Treatment duration for last culture positive was 37.9 ± 64.7 days (p = 0.01), which is significantly longer in AFB positive group. Conclusion: Cavitary lesion was associated with a infectiousness, more systemic symptom, longer duration of culture conversion. Quantitative analysis of CT showed that volume and size of cavities were associated with persistent infectiousness in TB patients.
SooHyun Bae,Minkyu Han,Changyoung Kim,Hyeji Lee,안종준,김진형,Byung Ju Kang 대한의학회 2020 Journal of Korean medical science Vol.35 No.10
Background: Usually, high-flow nasal cannula (HFNC) therapy is indicated for de novo acute hypoxemic respiratory failure (AHRF). Although only a few researches have examined the effectiveness of HFNC therapy for respiratory failure with hypercapnia, this therapy is often performed under such conditions for various reasons. We investigated the effectiveness of HFNC therapy for AHRF patients with hypercapnia compared to those without hypercapnia. Methods: All consecutive patients receiving HFNC therapy between January 2012 and June 2018 at a university hospital were enrolled and classified into nonhypercapnic and hypercapnic groups. We compared the outcomes of both groups and adjusted the outcomes with propensity score matching. Results: A total of 862 patients were enrolled, of which 202 were included in the hypercapnic group. HFNC weaning success rates were higher, and intensive care unit (ICU) and hospital mortality was lower in the hypercapnic group than in the nonhypercapnic group (all P < 0.05). However, no statistical differences in HFNC weaning success (adjusted P = 0.623, matched P = 0.593), ICU mortality (adjusted P = 0.463, matched P = 0.195), and hospital mortality (adjusted P = 0.602, matched P = 0.579) were noted from the propensity- adjusted and propensity-matched analyses. Additionally, in the propensity score-matched subgroup analysis (according to chronic lung diseases and causes of HFNC application), there was also no significant difference in outcomes between the two groups. Conclusion: In AHRF with underlying conditions, HFNC therapy might be helpful for patients with hypercapnia. Large prospective and randomized controlled trials are required for firm conclusions.
배수현(Soohyun Bae),오원욱(Wonwook Oh),강윤묵(Yoonmook Kang),이해석(Hae-Seok Lee),김동환(Donghwan Kim) 한국태양광발전학회 2018 Current Photovoltaic Research Vol.6 No.2
When the PV module is illuminated in a high temperature region, solar cells are also exposed to the high temperature external environment. The operating temperature of the solar cell inside the module is increased, which causes the power drops. Various efforts have been made to reduce the operating temperature and compensate the power of solar cells according to the outdoor temperature such as installing of a cooling system. Researches have been also reported to lower the operating temperature of solar cells by improving the heat dissipation properties of the backsheet. In this study, we conducted a test to measure the internal temperature of each module components and the external temperature when the light was irradiated according to the surrounding temperature. Backsheets with different thermal conductivities were compared in the test. Finally, in order to explain the temperature difference between the solar cell and the outside of the module, we proposed an evaluation method of the heat transfer characteristics of photovoltaic modules with different backsheet.
부산지역 인공지능 산업 육성을 위한 AI 산업생태계 연구
배수현 ( Bae Soohyun ),김성신 ( Kim Sungshin ),정석찬 ( Jeong Seok Chan ) (사)한국빅데이터학회 2020 한국빅데이터학회 학회지 Vol.5 No.2
본 연구는 최근 빠르게 발전하는 인공지능 기술의 변화 트렌드를 분석하고 향후 발전 방향을 전망함으로써 부산지역의 인공지능 신산업 육성 방향을 설정하고자 수행하였다. 방향 설정을 위해 수행하였다. 이를 위해 최근 빠르게 시장에 출시되고 있는 인공지능 기술의 동향을 조사하고 부산지역의 실태와 여건을 분석하였다. 시장에 출시되고 있는 인공지능 기술을 지역 특화산업에 활용하기 위한 지원책을 도출하고자 하였다. 인공지능은 ‘초연결’, ‘초지능’, ‘초융합’으로 대표되는 4차 산업혁명의 핵심 키워드로, 인공지능 기반의 데이터 활용 기술은 제조공정에서 서비스까지 다양한 분야에 활용될 수 있으며, 이를 통한 기술간·산업 간 장벽이 허물어지는 초융합의 시대로 접어들고 있다. 본 연구에서는 이러한 추세에 따라 부산을 인공지능 도시로 육성하기 위한 추진 방향을 주요 지자체 간 인공지능 연관 생태계 비교·분석을 토대로 도출하였다. 본 연구에서 부산을 ‘AI City’로 육성하기 위한 핵심정책이라고 할 수 있는 인공지능 산업생태계 조성 방안을 제시하고자 하였다. 부산의 AI 산업생태계 육성 방안은 궁극적으로 인공지능 산업을 부산의 미래 먹거리로 육성하기 위한 정책방향 설정을 목적으로 한다. This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region’s specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an ‘AI City’. Busan’s plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan’s future food source.