• 미생물학회지
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• 제52권1호
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• pp.120-124
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• 2016

P2-크기 머리에 packaging 될 특정 DAN 크기(28-29 kb long)와 박테리오파지 P4 유전자 sid의 변이가 "P2 sir-관련 도움파지 비효율성"을 극복할 수 있는 요소로 압축되었다. 유전자 sid의 변이 여부가 필수적인지를 확인하기 위해, 정상적인 sid 유전자를 가지며 $P2_{sir3}$-크기의 큰 머리에 packaging 될 DNA 크기가 28.5 kb되는 P4 delRI::kmr을 사용하여 실험하였다. P4 delRI::kmr이 P2 sir3 용원소에 대해 낮은 EOP를 보이므로, 이를 증가시키기 위해 P2 sir3 용원소를 숙주세포로 하여 파지 stock을 제조하였다. 이 과정에서 P4 delRI::kmr이 P2 sir3 용원소에 대해 적응하는 것을 관찰하고, CsCl 부양 균등밀도 편차실험과 분리된 DNA의 전기영동을 통해 그것이 packaging 될 머리 크기에 따른 DNA 형태 변화에 의한 적응이라는 것을 알아냈다. P2 sir3 용원소에 적응된 P4 delRI::kmr과 적응되지 않은 P4 delRI::kmr stock의 burst size 결정 실험은, sid 유전자 변이에 상관없이 packaging 될 DNA 크기에 의해 "P2 sir-관련 도움파지 비효율성"이 극복된다는 것을 보여주었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.80-96
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• 2022

Nowadays, artificial intelligence promotes the rapid development of skin cancer detection technology, and the federated skin cancer detection model (FSDM) and dual generative adversarial network model (DGANM) solves the fragmentation and privacy of data to a certain extent. To overcome the problem that the many-objective evolutionary algorithm (MaOEA) cannot guarantee the convergence and diversity of the population when solving the above models, a many-objective evolutionary algorithm based on integrated strategy (MaOEA-IS) is proposed. First, the idea of federated learning is introduced into population mutation, the new parents are generated through sub-populations employs different mating selection operators. Then, the distance between each solution to the ideal point (SID) and the Achievement Scalarizing Function (ASF) value of each solution are considered comprehensively for environment selection, meanwhile, the elimination mechanism is used to carry out the select offspring operation. Eventually, the FSDM and DGANM are solved through MaOEA-IS. The experimental results show that the MaOEA-IS has better convergence and diversity, and it has superior performance in solving the FSDM and DGANM. The proposed MaOEA-IS provides more reasonable solutions scheme for many scholars of skin cancer detection and promotes the progress of intelligent medicine.

• Asian Pacific Journal of Cancer Prevention
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• 제16권3호
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• pp.1219-1224
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• 2015

Background: To date several common mutations in BRCA1 and BRCA2 associated with breast cancer have been reported in different populations. However, the common BRCA1 and BRCA2 mutations among breast cancer patients in Iran have not been described in detail. Materials and Methods: To comprehensively assess the frequency and distribution of the most common BRCA1 and BRCA2 mutations in Iranian breast cancer patients, we conducted this meta-analysis on 13 relevant published studies indentified in a literature search on PubMed and SID. Results: A total of 11 BRCA1 and BRCA2 distinct common mutations were identified, reported twice or more in the articles, of which 10 (c.2311T>C, c.3113A>G, c.4308T>C, c.4837A>G, c.2612C>T, c.3119G>A, c.3548A>G, c.5213G>A c.IVS16-92A/G, and c.IVS16-68A/G) mutations were in BRCA1, and 1 (c.4770A>G) was in BRCA2. The mutations were in exon 11, exon 13, intron 16, and exon 20 of BRCA1 and exon 11 of BRCA2. All have been previously reported in different populations. Conclusions: These meta analysis results should be helpful in understanding the possibility of any first true founder mutation of BRCA1/BRCA2 in the Iranian population. In addition, they will be of significance for diagnostic testing, genetic counseling and for epidemiological studies.