• 제목/요약/키워드: SMTM

검색결과 3건 처리시간 0.014초

간흡충 tropomyosin: PCR로 일부분 증폭된 cDNA의 cloning 및 염기서열 (Clonorchis sinensis tropomyosin: Cloning and sequence of partial cDNA amplified by PCR)

  • 홍성종
    • Parasites, Hosts and Diseases
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    • 제31권3호
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    • pp.285-292
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    • 1993
  • 간흡충 total RNk에는 많은 량의 185 rRNA가 함유되어 있었지만 285 rRNA는 그 양이 매우 적었다. 약 $8{\;}{\mu\textrm{g}}의{\;}poly{\;}(A)^{+}$ mRNAS부터 합성된 double-stranded CDNA는 대부분이 0.4-4.2 kb 크기이었으며 9.5 kb에 달하는 것도 있었다. 이미 보고되어 있는 tropomyosin의 amino산 서열을 기준하여 5개의 degenerated oligonucleotide (sense primer 2개와 antisense primer 3개)를 합성하였다. TotalcDNA를 template로 하고 sense primer와 antisense primer를 조합하여 실시한 PCR 산물 중에서 580 bp 크기의 특이 유전자가 나타났다. 만손주혈흡충의 tropomyosin CDNA를 탐색자로 써서 Southern hybridization했을 때 이 유전자만이 검출되어서. 이 유전자는 간횹충 tropomyosin (CSTM) CDNA의 일부분일 가능성이 높다고 생각되어 sequencing vector인 POEM-3Zf(-)에 cloning한 다음 염기서열을 결정하였다. nRf 증폭된 CSTM CDNA는 크기가 575 bp이었으며 191개의 predicted amino산 서열은 한 개의 open reading frame을 갖고 있었다 CSTM CDNA의 amino산 서열은 만손주혈흡충 tropomyosln과 86.3%. Trichosoonvk: colhnfornis tropomyosin과 51.1% 의 유사성을 갖고 있었다. 이 CSTM cDNA fragment는 앞으로 간흡충 cDNA library를 screening하여 완전한 CnM CDNA를 cloning하기에 좋은 probe로 쓰일 것으로 예상된다.

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A New Fine-grain SMS Corpus and Its Corresponding Classifier Using Probabilistic Topic Model

  • Ma, Jialin;Zhang, Yongjun;Wang, Zhijian;Chen, Bolun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권2호
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    • pp.604-625
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    • 2018
  • Nowadays, SMS spam has been overflowing in many countries. In fact, the standards of filtering SMS spam are different from country to country. However, the current technologies and researches about SMS spam filtering all focus on dividing SMS message into two classes: legitimate and illegitimate. It does not conform to the actual situation and need. Furthermore, they are facing several difficulties, such as: (1) High quality and large-scale SMS spam corpus is very scarce, fine categorized SMS spam corpus is even none at all. This seriously handicaps the researchers' studies. (2) The limited length of SMS messages lead to lack of enough features. These factors seriously degrade the performance of the traditional classifiers (such as SVM, K-NN, and Bayes). In this paper, we present a new fine categorized SMS spam corpus which is unique and the largest one as far as we know. In addition, we propose a classifier, which is based on the probability topic model. The classifier can alleviate feature sparse problem in the task of SMS spam filtering. Moreover, we compare the approach with three typical classifiers on the new SMS spam corpus. The experimental results show that the proposed approach is more effective for the task of SMS spam filtering.

한국 재래닭의 난각 및 난각막의 두께에 관한 연구 (Studies on Thickness of Eggshell and Eggshell Membrane of Korean Native Chicken)

  • 하정기;박준규;이정규
    • 한국가금학회지
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    • 제24권1호
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    • pp.29-37
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    • 1997
  • An experiment was conducted for 20 days( from July 21 to August 10, 1996) to investigate the differences in thickness of eggshell and eggshell membrane in Korean native chicken. All the eggs were purchased from a farm located in Chinju area. All eggs were categorized into Treatment I (34.89~51.39 g), H (53.32~60.70 g), and III (34.89~60.70 g) according to their weights. Eleven items were measured in all three treatments, i.e., egg weight, egg length, egg width, breaking strength, eggshell thickness of large end(STLE), eggshell membrane thickness of large end(SMTL), eggshell thickness of small end (STSE), eggshell membrane thickness of small end(SMTS), eggshell thickness of middle part(STMP), and eggshell membrane thickness of middle part(SMTM). Correlation coefficients between egg weight and eggshell weight, among eggshell thickness of large end, small end and middle end and eggshell weight were significant (P<0.01). Correlation coefficients between egg weight and large eggshell membrane were nega-tively significant(P<0.01). Breaking strengths were higher in Treatment I than in Treatment H. Correlation coefficients among thickness of eggshell and eggshell membrane at each point at 3 parts of large end, small end and middle end were not significant.

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