• 제목/요약/키워드: Mare

검색결과 191건 처리시간 0.023초

Small intestinal epiploic foramen entrapment in a seven-month pregnant Thoroughbred mare: a case report

  • Hyebin Hwang;Seyoung Lee;Kyung-won Park;Eun-bee Lee;Taeyoung Kang;Jong-pil Seo;Hyohoon Jeong
    • 대한수의학회지
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    • 제63권2호
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    • pp.11.1-11.5
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    • 2023
  • A seven-month pregnant four-year-old Thoroughbred mare with colic weighing 600 kg was referred to the Jeju National University Equine Hospital. A physical examination and ultrasound suggested epiploic foramen entrapment. The patient underwent ileum resection and end-to-side jejunocecostomy. After surgery, the horse showed a consistent pain when introduced to feeding. A repeat laparotomy was performed to enlarge the stoma size with side-to-side jejunocecostomy. The repeat laparotomy was successful, and the mare gave birth uneventfully. This report describes a case of small intestinal epiploic foramen entrapment and the clinical outcomes of the 2 consecutive laparotomies a Thoroughbred mare in late gestation.

Purification and Characterization of Mongolian Mare Lactoferrin

  • Kim, Kee-Sung;Kim, Ji-Sun;Shin, Mi-Soon;Noh, Hae-Won;Lim, Sang-Dong;Suvd, Duvjir;Alimaa, J.
    • 한국축산식품학회지
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    • 제29권2호
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    • pp.164-167
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    • 2009
  • The lactoferrin from mongolian mare colostrum has been purified by gel filtration (Sephadex G-100), affinity chromatography (Toyopear1-AF-Heparin-650M) in two steps. Mare lactoferrin-containing fractions were identified in the first peak among 3 peaks on Sephadex G-100 as first step, and purified lactoferrin was eluted with a step gradient of 0.5M NaCl as a 3 step (gradient 0.1,0.3, 0.5M). Eluted fractions were analyzed by 12% SDS-PAGE, and showed a single protein. Its molecular weight was estimated to be 82kDa. N-terminal amino acid sequence was determined as APRKSVRWCTISPAEXAKXA.

IoT Connectivity Application for Smart Building based on Analysis and Prediction System

  • COROTINSCHI, Ghenadie;FRANCU, Catalin;ZAGAN, Ionel;GAITAN, Vasile Gheorghita
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.103-108
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    • 2021
  • The emergence of new technologies and their implementation by different manufacturers of electronic devices are experiencing an ascending trend. Most of the time, these protocols are expected to reach a certain degree of maturity, and electronic equipment manufacturers use simplified communication standards and interfaces that have already reached maturity in terms of their development such as ModBUS, KNX or CAN. This paper proposes an IoT solution of the Smart Home type based on an Analysis and Prediction System. A data acquisition component was implemented and there was defined an algorithm for the analysis and prediction of actions based on the values collected from the data update component and the data logger records.

Online Learning after One Year of Digital Schooling in Romania: A Survey

  • Simionescu, Corina;Danubianu, Mirela;Marcu, Daniela;Turcu, Corneliu-Octavian
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.726-731
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    • 2021
  • Due to the COVID-19 pandemics, Romanian schools functioned online since March 2020, with more or less all school activities being implemented online, using the digital resources and technology. Although none of the key factors involved in education (teachers, pupils, parents) were prepared (emotionally, technically, economically etc.), online education was imposed ad a necessity to continue the teaching-learning-evaluation process, and teachers at all school levels were forced to rapidly adapt to online schooling. In this paper, we aim to investigate the perception of all three educational actors (pupils, parents and teachers) regarding the efficacy of online teaching and learning, based on a survey with 7701 respondents. Research data is relevant for online schooling in Romania between March 2020 and March 2021.

Online Learning after One Year of Digital Schooling in Romania-A Survey

  • Simionescu, Corina;Danubianu, Mirela;Marcu, Daniela;Turcu, Corneliu-Octavian
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.27-32
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    • 2022
  • Due to the COVID-19 pandemics, Romanian schools functioned online since March 2020, with more or less all school activities being implemented online, using the digital resources and technology. Although none of the key factors involved in education (teachers, pupils, parents) were prepared (emotionally, technically, economically etc.), online education was imposed ad a necessity to continue the teaching-learning-evaluation process, and teachers at all school levels were forced to rapidly adapt to online schooling. In this paper, we aim to investigate the perception of all three educational actors (pupils, parents and teachers) regarding the efficacy of online teaching and learning, based on a survey with 7701 respondents. Research data is relevant for online schooling in Romania between March 2020 and March 2021.

말에서 Granulosa Cell Tumor에 의한 무발정 치료 예 (Surgical Treatment for Granulosa Cell Tumor in a Thoroughbred Mare)

  • 서종필;손원균;강수진;김형진;김대용;이충섭;이인형
    • 한국임상수의학회지
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    • 제26권5호
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    • pp.486-489
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    • 2009
  • An 8-year-old Thoroughbred mare showing anestrus for longer than 6 months with left ovarian mass was referred to Veterinary Medical Teaching Hospital of Seoul National University. For 6 months, the mare had received 2 times hormonal therapies with $PGF_2{\alpha}$ and progesterone. The mare had not responded to these therapies and not shown estrous behavior. On rectal palpation, the left ovary was enlarged and contralateral ovary was small and inactive. Transrectal ultrasonographic examination of the left ovary revealed a mass composed of multiple, irregularly shaped follicles. Granulosa cell tumor (GCT) was suspected according to her history. Ovariectomy was performed through the left flank laparotomy with a standing position in a simple chute located outside of horse farm. The mass was diagnosed as GCT on histopathology. The mare was recovered without any problem and became pregnant next spring.

GLC를 이용한 마유의 지방산 조성에 관한 연구 (A Study on the Fatty Acid Composition of Mare Milk using GLC)

  • Kim, Kee-Sung;Kim, Ji-Seon;Shin, Mi-Soon;Lim, Sang-Dong;Shim, Jin-A;Jang, Eun-Hee;Yang, Seung-Yong;Park, Sung-Hae;B. Delger
    • 한국축산식품학회지
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    • 제23권2호
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    • pp.145-149
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    • 2003
  • 마유의 지방은 적은 양의 stearic acid과 palmitoleic acid를 가지고 있으며 반면에 많은 양의 linolenic acid과 linolic acid를 가지고 있다. 마유와 우유의 지방산을 비교하였을 때, oleic acid (C18:1)의 양은 차이가 없었으며, 불포화 지방산 성분인 linoleic acid와 linolenic acid은 마유가 우유에 비해 상대적으로 높았으며 마유 크림에서의 linoleic acid (C18:2) 는 우유보다 약 7배, linolenic acid (C18:3)은 약 50배 높은 것을 관찰하였다. 마유와 우유의 시료를 기간별로 실험한 결과 마유의 시료를 채취한 후 45일 동안 linoleic acid와 linolenic acid를 우유와 비교하였을 때 매우 높게 유지되었으며 이 결과 음식물로만 섭취할 수 있는 이 두 성분이 에너지원, 산소공급원으로 매우 유용하게 작용한다는 것을 알 수 있었다.

Concrete properties prediction based on database

  • Chen, Bin;Mao, Qian;Gao, Jingquan;Hu, Zhaoyuan
    • Computers and Concrete
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    • 제16권3호
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    • pp.343-356
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    • 2015
  • 1078 sets of mixtures in total that include fly ash, slag, and/or silica fume have been collected for prediction on concrete properties. A new database platform (Compos) has been developed, by which the stepwise multiple linear regression (SMLR) and BP artificial neural networks (BP ANNs) programs have been applied respectively to identify correlations between the concrete properties (strength, workability, and durability) and the dosage and/or quality of raw materials'. The results showed obvious nonlinear relations so that forecasting by using nonlinear method has clearly higher accuracy than using linear method. The forecasting accuracy rises along with the increasing of age and the prediction on cubic compressive strength have the best results, because the minimum average relative error (MARE) for 60-day cubic compressive strength was less than 8%. The precision for forecasting of concrete workability takes the second place in which the MARE is less than 15%. Forecasting on concrete durability has the lowest accuracy as its MARE has even reached 30%. These conclusions have been certified in a ready-mixed concrete plant that the synthesized MARE of 7-day/28-day strength and initial slump is less than 8%. The parameters of BP ANNs and its conformation have been discussed as well in this study.

A Case of Equine Uterine Angioleiomyoma

  • Jang, Seong-Hwan;Kim, Jae-Hoon
    • 한국임상수의학회지
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    • 제33권5호
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    • pp.316-319
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    • 2016
  • A 12-year-old thoroughbred mare with four days history of anorexia and high fever was submitted to the Equine Hospital. She failed to conceive in the following the breeding season in spring. In rectal palpation, mass could be palpable surrounding ovary. Because of the poor prognosis, full necropsy for mare was decided. The mass is located between right large and small colon, cranial to ovary using ultrasonography. Grossly, the mass was about $5{\times}3.5{\times}4cm$ in size, and the cut surface of mass showed brownish yellow in color with red-to orange granular areas Histopathologically, neoplastic cells were mixed with well differentiated spindle shape cells arranged in interlacing, interwoven pattern and poorly differentiated spindle cells. Neoplastic cells had abundant pink cytoplasm and bland and cigar-shaped nuclei with low mitotic figures. Many arteriole-like blood vessels with thick muscular wall were present throughout the mass. Masson's trichrome staining revealed muscle origin tumors in this case. Immunohistochemically, the neoplastic spindle cells showed positive reactions for smooth muscle actin and desmin. In our best knowledge, this is the first report of uterine angioleiomyoma in mare in Korea.

Algorithms for Classifying the Results at the Baccalaureate Exam-Comparative Analysis of Performances

  • Marcu, Daniela;Danubianu, Mirela;Barila, Adina;Simionescu, Corina
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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    • pp.35-42
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    • 2021
  • In the current context of digitalization of education, the use of modern methods and techniques of data analysis and processing in order to improve students' school results has a very important role. In our paper, we aimed to perform a comparative study of the classification performances of AdaBoost, SVM, Naive Bayes, Neural Network and kNN algorithms to classify the results obtained at the Baccalaureate by students from a college in Suceava, during 2012-2019. To evaluate the results we used the metrics: AUC, CA, F1, Precision and Recall. The AdaBoost algorithm achieves incredible performance for classifying the results into two categories: promoted / rejected. Next in terms of performance is Naive Bayes with a score of 0.999 for the AUC metric. The Neural Network and kNN algorithms obtain scores of 0.998 and 0.996 for AUC, respectively. SVM shows poorer performance with the score 0.987 for AUC. With the help of the HeatMap and DataTable visualization tools we identified possible correlations between classification results and some characteristics of data.