• 제목/요약/키워드: Vector Group

검색결과 447건 처리시간 0.026초

Transgenic Efficiency of FoxN1-targeted Pig Parthenogenetic Embryos

  • Yeo, Jae-Hoon;Hwang, In-Sul;Park, Jae Kyung;Kwon, Dae-Jin;Im, Seoki;Park, Eung-Woo;Lee, Jeong-Woong;Park, Choon-Keun;Hwang, Seongsoo
    • Journal of Embryo Transfer
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    • 제29권4호
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    • pp.339-344
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    • 2014
  • The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated protein (Cas9) system can be applied to produce transgenic pigs. Therefore, we applied CRISPR/Cas9 system to generate FoxN1-targeted pig parthenogenetic embryos. Using single guided RNA targeted to pig FoxN1 genes was injected into cytoplasm of in vitro matured oocyte before electrical activation. In results, regardless of the concentrations of vector, the cleavage rate were significantly (p<0.05) decreased ($4ng/{\mu}l$, 51.24%; $8ng/{\mu}l$, 40.88%; and $16ng/{\mu}l$; 45.22%) compared to no injection group (70.44%). The blastocyst formation rates were also decreased in vector injected 3 groups ($4ng/{\mu}l$, 7.96%; $8ng/{\mu}l$, 6.4%; and $16ng/{\mu}l$; 9.04%) compared to no injection group (29.07%). In addition, the blastocyst formation rates between sham injected group (13.51%) and no injection group (29.07%) also showed significant difference (p<0.05). The mutation rates were comparable between groups ($4ng/{\mu}l$, 18.4%; $8ng/{\mu}l$, 12.5%; and $16ng/{\mu}l$; 20.0%). The sequencing analysis showed that blastocysts derived from each group were successfully mutated in FoxN1 loci regardless of the vector concentrations. However, the deletion patterns were higher than the patterns of point mutation and insertion regardless of the vector concentrations. In conclusion, we described that cytoplasmic microinjection of FoxN1-targeted CRISPR/Cas9 vector could efficiently generate transgenic pig parthenogenetic embryos in one-step.

An Incremental Similarity Computation Method in Agglomerative Hierarchical Clustering

  • Jung, Sung-young;Kim, Taek-soo
    • Journal of the Korean Institute of Intelligent Systems
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    • 제11권7호
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    • pp.579-583
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    • 2001
  • In the area of data clustering in high dimensional space, one of the difficulties is the time-consuming process for computing vector similarities. It becomes worse in the case of the agglomerative algorithm with the group-average link and mean centroid method, because the cluster similarity must be recomputed whenever the cluster center moves after the merging step. As a solution of this problem, we present an incremental method of similarity computation, which substitutes the scalar calculation for the time-consuming calculation of vector similarity with several measures such as the squared distance, inner product, cosine, and minimum variance. Experimental results show that it makes clustering speed significantly fast for very high dimensional data.

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Common Mode Voltage Cancellation in a Buck-Type Active Front-End Rectifier Topology

  • Aziz, Mohd Junaidi Abdul;Klumpner, Christian;Clare, Jon
    • Journal of Power Electronics
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    • 제12권2호
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    • pp.276-284
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    • 2012
  • AC/AC power conversion is widely used to feed AC loads with a variable voltage and/or a variable frequency from a constant voltage constant frequency power grid or to connect critical loads to an unreliable power supply while delivering a very balanced and accurate sinusoidal voltage system of constant amplitude and frequency. The load specifications will clearly impose the requirements for the inverter stage of the power converter, while wider ranges of choices are available for the rectifier. This paper investigates the utilization of a buck-type current source rectifier as the active front-end stage of an AC/AC converter for applications that require an adjustable DC-link voltage as well as elimination of the low-frequency common mode voltage. The proposed solution is to utilize a combination of two or more zero current vectors in the Space Vector Modulation (SVM) technique for Current Sources Rectifiers (CSR).

Altered Amino Acid Metabolic Patterns in the Plasma of Rat Models with Adenovirus Infection

  • Paik, Man-Jeong;Shim, Woo-Young;Moon, Seung-Min;Kim, Yeon-Mi;Kim, Dong-Wan;Kim, Kyoung-Rae;Kim, Sun-A;Shim, Jeom-Soon;Choi, Sang-Dun;Lee, Gwang
    • Bulletin of the Korean Chemical Society
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    • 제32권5호
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    • pp.1569-1574
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    • 2011
  • The presence of replication-competent adenovirus (RCA) subpopulations in adenoviral vector products raises a variety of safety issues for development of therapies based on gene therapy. To analyze the differing effects of adenoviral vector and RCA in vivo, we examined alterations in amino acids (AAs) using rat plasma following injection of ${\beta}$-galactosidase expressing recombinant adenovirus (designated rAdLacZ) or RCA. Plasma AAs were examined by gas chromatography-mass spectrometry. A total of 16 AAs were positively measured. In the rAdLacZ group compared to the control group, the level of aspartic acid was significantly increased (Student's t-test), while the level of glutamic acid was significantly reduced. Additionally, in the RCA group compared to the control group, the level of four AAs, valine, leucine, and isoleucine as branched-chain amino acids, and proline were significantly increased, whereas the levels of three AAs, glycine, threonine, and glutamic acid were significantly reduced. Altered plasma free AA metabolic patterns in rAdLacZ and RCA groups, compared with the control group, may explain the disturbance of AA metabolism related to viral infection.

Group-based speaker embeddings for text-independent speaker verification (문장 독립 화자 검증을 위한 그룹기반 화자 임베딩)

  • Jung, Youngmoon;Eom, Youngsik;Lee, Yeonghyeon;Kim, Hoirin
    • The Journal of the Acoustical Society of Korea
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    • 제40권5호
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    • pp.496-502
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    • 2021
  • Recently, deep speaker embedding approach has been widely used in text-independent speaker verification, which shows better performance than the traditional i-vector approach. In this work, to improve the deep speaker embedding approach, we propose a novel method called group-based speaker embedding which incorporates group information. We cluster all speakers of the training data into a predefined number of groups in an unsupervised manner, so that a fixed-length group embedding represents the corresponding group. A Group Decision Network (GDN) produces a group weight, and an aggregated group embedding is generated from the weighted sum of the group embeddings and the group weights. Finally, we generate a group-based embedding by adding the aggregated group embedding to the deep speaker embedding. In this way, a speaker embedding can reduce the search space of the speaker identity by incorporating group information, and thereby can flexibly represent a significant number of speakers. We conducted experiments using the VoxCeleb1 database to show that our proposed approach can improve the previous approaches.

Comparison of Machine Learning Analysis on Predictive Factors of Children's Planning-Organizing Executive Function by Income Level: Through Home Environment Quality and Wealth Factors

  • Lim, Hye-Kyung;Kim, Hyun-Ok;Park, Hae-Seon
    • Journal of People, Plants, and Environment
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    • 제24권6호
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    • pp.651-662
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    • 2021
  • Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

Dominant Color Transform and Circular Pattern Vector: Applications to Traffic Sign Detection and Symbol Recognition

  • An, Jung-Hak;Park, Tae-Young
    • Journal of Electrical Engineering and information Science
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    • 제3권1호
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    • pp.73-79
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    • 1998
  • In this paper, a new traffic sign detection algorithm.. and a symbol recognition algorithm are proposed. For traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of symbol, called a circular pattern vector, is used as a spatial feature of symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed, and it is shown that group of circular patter vectors based on concentric circles is more effective than circular pattern vector of a single circle for a given equivalent number of elements of vectors.

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KMSVOD: Support Vector Data Description using K-means Clustering (KMSVDD: K-means Clustering을 이용한 Support Vector Data Description)

  • Kim, Pyo-Jae;Chang, Hyung-Jin;Song, Dong-Sung;Choi, Jin-Young
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.90-92
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    • 2006
  • 기존의 Support Vector Data Description (SVDD) 방법은 학습 데이터의 개수가 증가함에 따라 학습 시간이 지수 함수적으로 증가하므로, 대량의 데이터를 학습하는 데에는 한계가 있었다. 본 논문에서는 학습 속도를 빠르게 하기 위해 K-means clustering 알고리즘을 이용하는 SVDD 알고리즘을 제안하고자 한다. 제안된 알고리즘은 기존의 decomposition 방법과 유사하게 K-means clustering 알고리즘을 이용하여 학습 데이터 영역을 sub-grouping한 후 각각의 sub-group들을 개별적으로 학습함으로써 계산량 감소 효과를 얻는다. 이러한 sub-grouping 과정은 hypersphere를 이용하여 학습 데이터를 둘러싸는 SVDD의 학습 특성을 훼손시키지 않으면서 중심점으로 모여진 작은 영역의 학습 데이터를 학습하도록 함으로써, 기존의 SVDD와 비교하여 학습 정확도의 차이 없이 빠른 학습을 가능하게 한다. 다양한 데이터들을 이용한 모의실험을 통하여 그 효과를 검증하도록 한다.

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ADENOVIRAL VECTOR MEDIATED IN VIVO GENE TRANSFER OF BDNF PROMOTE FUNCTIONAL RECOVERY AFTER FACIAL NERVE CRUSH INJURY (안면신경 압박손상 후 Adenovirus 매개 BDNF 유전자 전달을 통한 신경손상 회복에 관한 연구)

  • Yang, Byoung-Eun;Lee, Jong-Ho
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제32권4호
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    • pp.308-316
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    • 2006
  • Objectives Despite considerable advances in technique, experience and skill, the precise place of surgery in the treatment of facial nerve injury remains uncertain. We designed a facial nerve crush injury model in rats and evaluated the recovery of crushed nerve which is the most common injury type of facial nerve using adenovirus vector mediated in vivo gene transfer of Brain derived neurotrophic factor(BDNF). Materials and methods In 48 Sprague Dawley rats, we made a facial nerve crush injury model to main trunk before the furcation, and injected a $10^{11}$pfu adenoviral BDNF in experimental group(BDNF adenoviral injection group; ad-BDNF) and $3{\mu}l$ saline in control group(Saline injection group; saline). After a period of regeneration from 10 to 40 days, nerve regeneration was evaluated with functioinal test (vibrissae and ocular movement), electrophysiologic study(threshold, peak voltage, conduction velocity) and histomorphometric study of axon density. Results Vibrissae and ocular movement, threshold and conduction velocity improved as time elapse in both group, however axon density was increased significantly only in experimental group. Functional test in 10 days and 20 days showed no difference between experimental group and control group. Vibrissae movement, threshold, conduction velocity and axon density in 30 days revealed that the regeneration in quality of experimental group was significantly superior to that of control group. Conclusion In general, there is tendency for nerve regeneration in experimental group (BDNF-adenovirus injection group) during 40 days, functional recovery was detected successfully after facial nerve crush in 30 days postoperatively.