• Title/Summary/Keyword: Ostia

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An anatomical study on the aortic sinus in swine (돼지 대동맥동에 대한 해부학적 연구)

  • Choi, Seong-Hwan;Cheong, Ki-Soo;Kim, In-Shik;Tae, Hyun-Jin;Park, Young-Jae;Sim, Jeoung-Ha;Ahn, Dong-Choon
    • Korean Journal of Veterinary Research
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    • v.46 no.1
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    • pp.1-6
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    • 2006
  • This study was aimed to obtain the anatomical information on the location of ostia of left and right coronary artery in 3 weeks old and 6 months old hybrid swine. The each intercommissural distance of 6 months group was twice than 3 weeks old group. The largest sinus was right aortic sinus followed by left and posterior sinus. All left coronary artery ostia in left aortic sinus were located near the right aortic sinus as well as lower than the ostia of right one. Most of the right coronary artery ostia were located at the level of supravalvular ridge of right aortic sinus. In addition the right ostia had more variation than left ones. Comparing to the sites of 3 weeks old pigs, the sites of the right ostia in 6 months group were more variable. These data suggest that the locations of coronary ostia were different with the sites of human's, and changes of the location may be occurred during the growth.

A Study on Predictability of Snowfall Amount due to Fine Difference of Spatial Distribution of Remote Sensing based Sea Surface Temperature (원격 탐사 기반 해양 표면 온도의 미세 분포 차이에 따른 강설량 예측성 연구)

  • Lee, Soon-Hwan;Yoo, Jung-Woo
    • Journal of Environmental Science International
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    • v.23 no.8
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    • pp.1481-1493
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    • 2014
  • In order to understand the relation between the distribution of sea surface temperature and heavy snowfall over western coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in this study is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Final operational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature and Sea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situ observation. The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparison with RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL data were higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. General distribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast of the peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higher SST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that over distance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTG and OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the prediction accuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over far from the western coast of the Korean peninsula.

Impact of High-Resolution Sea Surface Temperatures on the Simulated Wind Resources in the Southeastern Coast of the Korean Peninsula (고해상도 해수면온도자료가 한반도 남동해안 풍력자원 수치모의에 미치는 영향)

  • Lee, Hwa-Woon;Cha, Yeong-Min;Lee, Soon-Hwan;Kim, Dong-Hyeok
    • Journal of Environmental Science International
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    • v.19 no.2
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    • pp.171-184
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    • 2010
  • Accurate simulation of the meteorological field is very important to assess the wind resources. Some researchers showed that sea surface temperature (SST) plays a leading role on the local meterological simulation. New Generation Sea Surface Temperature (NGSST), Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA), and Real-Time Global Sea Surface Temperature (RTG SST) have different spatial distribution near the coast and OSTIA shows the best accuracy compared with buoy data in the southeastern coast of the Korean Peninsula. Those SST products are used to initialize the Weather Research and Forecasting (WRF) Model for November 13-23 2008. The simulation of OSTIA shows better result in comparison with NGSST and RTG SST. NGSST shows a large difference with OSTIA in horizontal and vertical wind fields during the weak synoptic condition, but wind power density shows a large difference during strong synoptic condition. RTG SST shows the similar patterns but smaller the magnitude and the extent.

A Study on the Change of Heavy Snow Strength by SST in Influence of Continental Polar Air Mass

  • Park, Geon-Young;Ryu, Chan-Su
    • Journal of Integrative Natural Science
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    • v.7 no.1
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    • pp.39-44
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    • 2014
  • The results of the synoptic meteorological analysis showed that when the cold and dry continental high pressure was extended, heavy snow occurred at dawn when the upper atmosphere cooled. In particular, when the continental high pressure was extended and the upper pressure trough passed through, heavy snow occurred due to the convergence region formed in the west coast area, sometimes in the inland of the Honam area. In addition, it was verified that the changes in the humidity coefficients in the upper and lower layers are important data for the determination of the probability, start/end and intensity of heavy snow. However, when the area was influenced by the middle-latitude low pressure, the heavy snow was influenced by the wind in the lower layer (925 hPa and 850 hPa), the equivalent potential temperature, the convergence field, the moisture convergence and the topography. In Case 2010 (30 December 2010), OSTIA had the best numerical simulation with diverse atmospheric conditions, and the maximum difference in the numerically simulated snowfall between NCEP/NCAR SST and OSTIA was 20 cm. Although there was a regional difference in the snowfall according to the difference in the SST, OSTIA and RTG SST numerical tests, it was not as significant as in the previous results. A higher SST led to the numerical simulation of larger snowfall, and the difference was greatest near Buan in the west coast area.

Surgical Treatment of Aneurysm of the Ascending Aorta with Aortic Insufficiency (상행 대동맥류와 대동맥 판막 폐쇄부전증이 동반된 환자의 외과적 치료)

  • 장재현
    • Journal of Chest Surgery
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    • v.25 no.5
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    • pp.550-554
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    • 1992
  • The selection of an appropriate surgical technique for repair of aneurysm of the ascending aortia with aortic insufficiency is unsettled. The etiology of the disease process has been the best indicator for the type of repair. Placement of a supracoronary graft[seperate graft and valve] is a compromise if the coronary ostia are displaced cephalad by the aneurysm, where as insertion of a valved conduit is difficult and unnecessary if the coronary ostia are normally placed. A 53 year old female patient underwent primary repaiar of proximal dissected layer and aortic valve replacement with 24mm carbomedics, The operative findings consisted of a supravalvular intimal tear, cicumferential dissection, dilated aortic annulus and normal position of coronary ostia. She is good physical activity now llmonths posoperatively.

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Impacts of OSTIA Sea Surface Temperature in Regional Ocean Data Assimilation System (지역 해양순환예측시스템에 대한 OSTIA 해수면온도 자료동화 효과에 관한 연구)

  • Kim, Ji Hye;Eom, Hyun-Min;Choi, Jong-Kuk;Lee, Sang-Min;Kim, Young-Ho;Chang, Pil-Hun
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.20 no.1
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    • pp.1-15
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    • 2015
  • Impacts of Sea Surface Temperature (SST) assimilation to the prediction of upper ocean temperature is investigated by using a regional ocean forecasting system, in which 3-dimensional optimal interpolation is applied. In the present study, Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset is adopted for the daily SST assimilation. This study mainly compares two experimental results with (Exp. DA) and without data assimilation (Exp. NoDA). When comparing both results with OSTIA SST data during Sept. 2011, Exp. NoDA shows Root Mean Square Error (RMSE) of about $1.5^{\circ}C$ at 24, 48, 72 forecast hour. On the other hand, Exp. DA yields the relatively lower RMSE of below $0.8^{\circ}C$ at all forecast hour. In particular, RMSE from Exp. DA reaches $0.57^{\circ}C$ at 24 forecast hour, indicating that the assimilation of daily SST (i.e., OSTIA) improves the performance in the early SST prediction. Furthermore, reduction ratio of RMSE in the Exp. DA reaches over 60% in the Yellow and East seas. In order to examine impacts in the shallow costal region, the SST measured by eight moored buoys around Korean peninsula is compared with both experiments. Exp. DA reveals reduction ratio of RMSE over 70% in all season except for summer, showing the contribution of OSTIA assimilation to the short-range prediction in the coastal region. In addition, the effect of SST assimilation in the upper ocean temperature is examined by the comparison with Argo data in the East Sea. The comparison shows that RMSE from Exp. DA is reduced by $1.5^{\circ}C$ up to 100 m depth in winter where vertical mixing is strong. Thus, SST assimilation is found to be efficient also in the upper ocean prediction. However, the temperature below the mixed layer in winter reveals larger difference in Exp. DA, implying that SST assimilation has still a limitation to the prediction of ocean interior.

Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques (딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구)

  • Won-Been Park;Heung-Bae Choi;Myeong-Soo Han;Ho-Sik Um;Yong-Sik Song
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.536-542
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    • 2023
  • Satellites represent cutting-edge technology, of ering significant advantages in spatial and temporal observations. National agencies worldwide harness satellite data to respond to marine accidents and analyze ocean fluctuations effectively. However, challenges arise with high-resolution satellite-based sea surface temperature data (Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA), where gaps or empty areas may occur due to satellite instrumentation, geographical errors, and cloud cover. These issues can take several hours to rectify. This study addressed the issue of missing OSTIA data by employing LaMa, the latest deep learning-based algorithm. We evaluated its performance by comparing it to three existing image processing techniques. The results of this evaluation, using the coefficient of determination (R2) and mean absolute error (MAE) values, demonstrated the superior performance of the LaMa algorithm. It consistently achieved R2 values of 0.9 or higher and kept MAE values under 0.5 ℃ or less. This outperformed the traditional methods, including bilinear interpolation, bicubic interpolation, and DeepFill v1 techniques. We plan to evaluate the feasibility of integrating the LaMa technique into an operational satellite data provision system.

Surgical Treatment of Annuloaortic Ectasia - A Case Report - (Annuloaortic Ectasia 에 대한 Bentall 씨 수술치험)

  • 고정관
    • Journal of Chest Surgery
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    • v.21 no.5
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    • pp.882-888
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    • 1988
  • A case of Annuloaortic Ectasia associated with Marfan syndrome and mitral regurgitation is treated surgically by Bentall`s method and mitral annuloplasty. The Annuloaortic Ectasia is frequently accompanied with Marfan syndrome, its definition is simply explained as the following; the marked dilatation of the sinuses of Valsalva and the aortic annulus as well as the huge aneurysm of the ascending aorta. As the operative finding, the intimal tearing was shown as circular and the both coronary ostia were changed the position into high up. The patient was taken a corrective operation replacing the ascending aorta and aortic valve with a composite graft[St. Jude medical valve 29mm, woven Dacron tubular graft 31mm]. The both coronary ostia were reimplanted on the graft with 4-0 prolene by continuous suture. Mitral annuloplasty was performed. After the operation, the patient developed both spontaneous pneumothorax, he improved state by the closed thoracostomy. He has been doing well, postoperatively.

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Surgical Treatment of Annuloaortic Ectasia Report of One Case (Annuloaortic Ectasia 수술치험)

  • 김광택
    • Journal of Chest Surgery
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    • v.18 no.3
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    • pp.456-460
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    • 1985
  • A case of Annuloaortic Ectasia associated with Marfan syndrome was treated by replacement of aorta and aortic valve with a valved conduit. A 26 years old man had suffered from palpitation and precordial pain. He had stigmata of Marfan`s syndrome. Aortogram and 2-D echocardiogram confirmed aneurysm of the ascending aorta with aortic insufficiency. Surgery was performed under the moderate hypothermia to 28oC. There was marked dilatation of the aortic annulus as well as sinus of Valsalva, with displacement of the coronary ostia. Aortic valve and aneurysm was replacement with 25mm, woven Dacron tubular graft, to which a 25mm, S.T. Jude Medical valve had been previously sutured. Right & left coronary ostia were anastomosed to the graft with the use of 3O Nylon pledget suture. The patient had a satisfactory post operation period with out specific complication.

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Surgical Treatment of Annuloaortic Ectasia (Report of One Case) (Annuloaortic Ectasia 의 수술치험 (1례 보고))

  • Jo, Gwang-Hyeon;Park, Cheol-Ho;Ryu, Ji-Yun
    • Journal of Chest Surgery
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    • v.21 no.2
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    • pp.340-346
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    • 1988
  • The surgical treatment of annuloaortic ectasia falls into two basic categories, depending on the management of the coronary artery ostia and the sinus of Valsalva. The conventional method, first suggested by Groves, Wheat and their associates, employs a supracoronary graft for the treatment of aneurysm and conventional valve replacement. A more radical approach, that of Bentall and DeBono, uses a valve conduit from the aortic annulus to the distal extent of the aneurysm. This latter technique requires reimplantation of the coronary artery ostia for reestablishment of coronary artery blood flow. Recently we experienced a case of annuloaortic ectasia to which we applied the Bentall operation with the good postoperative result, and now we report this with literature review.

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