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Total Knee Arthroplasty: Is It Safe? A Single-Center Study of 4,124 Patients in South Korea
Kyunga Ko,Kee Hyun Kim,Sunho Ko,Changwung Jo,Hyuk-Soo Han,Myung Chul Lee,Du Hyun Ro 대한정형외과학회 2023 Clinics in Orthopedic Surgery Vol.15 No.6
Background: Although total knee arthroplasty (TKA) is considered an effective treatment for knee osteoarthritis, it carries risks of complications. With a growing number of TKAs performed on older patients, understanding the cause of mortality is crucial to enhance the safety of TKA. This study aimed to identify the major causes of short- and long-term mortality after TKA and report mortality trends for major causes of death. Methods: A total of 4,124 patients who underwent TKA were analyzed. The average age at surgery was 70.7 years. The average follow-up time was 73.5 months. The causes of death were retrospectively collected through Korean Statistical Information Service and classified into 13 subgroups based on the International Classification of Diseases-10 code. The short- and long-term causes of death were identified within the time-to-death intervals of 30, 60, 90, 180, 180 days, and > 180 days. Standard mortality ratios (SMRs) and cumulative incidence of deaths were computed to examine mortality trends after TKA. Results: The short-term mortality rate was 0.07% for 30 days, 0.1% for 60 days, 0.2% for 90 days, and 0.2% for 180 days. Malignant neoplasm and cardiovascular disease were the main short-term causes of death. The long-term (> 180 days) mortality rate was 6.2%. Malignant neoplasm (35%), others (11.7%), and respiratory disease (10.1%) were the major long-term causes of death. Men had a higher cumulative risk of death for respiratory, metabolic, and cardiovascular diseases. Age-adjusted mortality was significantly higher in TKA patients aged 70 years (SMR, 4.3; 95% confidence interval [CI], 3.3–5.4) and between 70 and 79 years (SMR 2.9; 95% CI, 2.5–3.5) than that in the general population. Conclusions: The short-term mortality rate after TKA was low, and most of the causes were unrelated to TKA. The major causes of long-term death were consistent with previous findings. Our findings can be used as counseling data to understand the survival and mortality of TKA patients.
Ko, Juhui,Park, Sung-Gyu,Lee, Sangyeop,Wang, Xiaokun,Mun, Chaewon,Kim, Sunho,Kim, Dong-Ho,Choo, Jaebum American Chemical Society 2018 ACS APPLIED MATERIALS & INTERFACES Vol.10 No.8
<P>We utilized a fast Raman spectral mapping technique for fast detection of bacterial pathogens. Three-dimensional (3D) plasmonic nanopillar arrays were fabricated using the nanolithography-free process consisting of maskless Ar plasma treatment of a polyethylene terephthalate substrate and subsequent metal deposition. Bacterial pathogens were immobilized on the positively charged poly(L-lysine)-coated 3D plasmonic substrate through electrostatic interactions. Then, the bacterial surfaces were selectively labeled with antibody-conjugated surface-enhanced Raman scattering (SERS) nanotags, and Raman mapping images were collected and statistically analyzed for quantitative analysis of bacteria. Salmonella typhimurium was selected as a model pathogen bacterium to confirm the efficacy of our SERS imaging technique. Minimum number of Raman mapping points with statistical reliability was determined to reduce assay time. It was possible to get a statistically reliable standard calibration curve for 529 pixels (laser spot with 60 mu m interval), which required a total mapping time of 45 min to get a standard calibration curve for five different concentrations of bacteria in the 0 to 10(6) CFU/mL range. No amplification step was necessary for quantification because low-abundance target bacteria could be measured using the Raman spectral mapping technique. Therefore, this approach allows accurate quantification of bacterial pathogens without any culturing or enrichment process.</P>
Kim, Sunho,Kim, Royoung,Nam, Hee-Jo,Kim, Ryeo-Gyeong,Ko, Enjin,Kim, Han-Su,Shin, Jihye,Cho, Daeun,Jin, Yurhee,Bae, Soyeon,Jo, Ye Won,Jeong, San Ah,Kim, Yena,Ahn, Seoyeon,Jang, Bomi,Seong, Jiheyon,Lee, Korea Genome Organization 2020 Genomics & informatics Vol.18 No.3
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.
안전한 멀티캐스트 전송을 위한 효율적인 그룹 관리 방법
고훈(Hoon Ko),장의진(Uijin Jang),김선호(Sunho Kim),신용태(Yongtae Shin) 한국정보과학회 2006 정보과학회논문지 : 정보통신 Vol.33 No.1
While a lot of important information is being sent and received on the Internet, the information could be exposed to many threats, and the more the Multicast Service is various and generalized, the more the service range is widened. When a new member joins in or leaves from the Multicast Group, the Group Key, which the existing member use for, should be newly updated. The existing method had a problem that the performance was depreciated by the key exchanging. This paper proposes the effective group management mechanism for a secure transmission of the Multicast Data on the Multicast Group 많은 중요한 정보들이 인터넷을 통해 전송 되고 있으나, 이들은 정보는 수많은 위험에 노출되어 있다. 그리고 멀티캐스트 서비스도 다양해지고 보편화 되고 있는 만큼 서비스의 종류도 다양해지고 있다. 그룹에 새로운 멤버가 가입하거나 탈퇴하는 경우 기존 멤버들이 사용하던 그룹 키는 갱신되어야 한다. 그러나 기존의 방법은 키 교환 때문에 성능이 저하되는 문제가 있다. 본 논문에서는 안전한 멀티캐스트 데이타 전달을 위해서 가입과 탈퇴가 빈번한 멀티캐스트 그룹에 대해서 안전한 데이타 전달을 위한 효율적인 그룹 관리 기법을 제안한다.
Neuroprotective effect of forsythiaside against transient cerebral global ischemia in gerbil
Kim, Jong Min,Kim, Sunho,Kim, Dong Hyun,Lee, Choong Ho,Park, Se Jin,Jung, Ji Wook,Ko, Kwang Ho,Cheong, Jae Hoon,Lee, Seung Ho,Ryu, Jong Hoon Elsevier 2011 european journal of pharmacology Vol.660 No.2
<P><B>Abstract</B></P><P>Forsythiaside, a phenylethanoside, has been reported to have anti-oxidative activity and memory ameliorating effects against a scopolamine-induced memory deficit model. The aim of this study was to determine whether forsythiaside has neuroprotective activity on transient cerebral global ischemia in gerbil. Transient cerebral ischemia was induced by bilateral common carotid artery occlusion for 5min and followed by reperfusion for 7days. Oral administration of forsythiaside was conducted immediately after reperfusion and once a day over the next 7days. The forsythiaside administration significantly increased the number of viable neurons detected by neuronal nuclei immunostaining and decreased degenerating neuronal cells detected by Fluoro-Jade B staining in the hippocampal CA1 region, at the 7th day post-ischemia (<I>P</I><0.05). Forsythiaside also significantly decreased the number of ionized calcium-binding adaptor molecule-1-detected activated microglia and glial fibrillary acidic protein-detected astrocytes, both of which were increased after ischemic insults, and decreased interleukin-1β and tumor necrosis factor-α expression levels, which were also increased after the insults (<I>P</I><0.05). In addition, forsythiaside significantly improved ischemia-induced cognitive impairments in the Y-maze task (<I>P</I><0.05). These results suggest that forsythiaside exhibits neuroprotective properties, which are, in part, mediated by its anti-inflammatory activities supported by forsythiaside-induced reductions of activated glial cells and expression levels of interleukin-1β and tumor necrosis factor-α.</P>
Kim, Dong Hyun,Kim, Sunho,Jeon, Su Jin,Son, Kun Ho,Lee, Seungjoo,Yoon, Byung Hoon,Cheong, Jae Hoon,Ko, Kwang Ho,Ryu, Jong Hoon Wiley (Blackwell Publishing) 2009 British journal of pharmacology Vol.158 No.4
<P>BACKGROUND AND PURPOSE: The intracellular signalling kinase, extracellular signal-regulated kinase 1/2 (ERK1/2) is required for new memory formation, suggesting that control of ERK signalling might be a target for the treatment of cognitive dysfunction. Previously, we reported that tanshinone congeners have ameliorating effects on drug-induced memory impairment in mice. Here, we have investigated possible modes of action of tanshinone I on learning and memory, associated with ERK phosphorylation. EXPERIMENTAL APPROACH: Using immunohistochemical, Western blot techniques, and behavioural testing, we studied the effect of tanshinone I on memory impairment induced by diazepam or dizocilpine (MK-801) in mice. KEY RESULTS: Tanshinone I (2 or 4 mg.kg(-1), p.o.) increased latency times versus vehicle-treated control group in the passive avoidance task. Western blot analysis and immunohistochemical data showed that tanshinone I (4 mg.kg(-1)) increased levels of phosphorylated cAMP response element binding protein (pCREB) and phosphorylated ERK (pERK) in the hippocampus. These increases in pCREB and pERK were blocked by U0126 (inhibitor of ERK1/2), which also prevented the increase in passive avoidance task latency time after tanshinone I. In models of learning and memory impairment induced by diazepam and MK-801, tanshinone I (4 mg.kg(-1)) reversed learning and memory impairments detected by the passive avoidance test. Western blot analysis showed that tanshinone I reversed the diazepam- and MK-801-induced inhibitions of ERK and CREB activation in hippocampal tissues. These effects were also blocked by U0126. CONCLUSIONS AND IMPLICATIONS: Tanshinone I ameliorates the learning and memory impairments induced by diazepam and MK-801 through activation of ERK signalling.</P>
임준묵(Lim, Joon-Mook),고선호(Ko, Sunho),김제완(Kim, Jewan) 한국IT서비스학회 2018 한국IT서비스학회 학술대회 논문집 Vol.2018 No.-
본 연구에서는 에어코리아의 미세먼지 농도 측정치와 기상자료개방포털에서 실시간 으로 제공하는 기상관련 다양한 정보를 활용하여 미세먼지의 농도를 예측할 수 있는 수리적 모델을 개발하였다. 수리모델에서는 다양한 국내 계절성 변수들과 대기상태 변수들을 다중회귀분석을 통해 미세먼지농도에 유의한 영향을 미치는 변수를 추출하고그 변수들을 토대로 머신러닝기법인 ANN(Artificial Neural Network)과 SVM(Support Vector Machine)을 사용하여 미세먼지농도를 예측할 수 있는 모형을 제안하였다. 제안 모형은 과거의 미세먼지 및 기상데이터를 활용하여 그 효과성을 검증할 수 있었다.