• Asian Pacific Journal of Cancer Prevention
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• 제15권4호
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• pp.1675-1679
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• 2014

Objectives: MicroRNAs (miRNAs) are important regulators of many physiological and pathological processes, including tumorigenesis and metastasis. In this study, we sought to determine the underlying molecular mechanisms of metastatic cervical carcinoma by performing miRNA profiling. Methods: Tissue samples were collected from ten cervical squamous cancer patients who underwent hysterectomy and pelvic lymph node (PLN) dissection in our hospital, including four PLN-positive (metastatic) cases and six PLN-negative (non-metastatic) cases. A miRNA microarray platform with 1223 probes was used to determine the miRNA expression profiles of these two tissue types and case groups. MiRNAs having at least 4-fold differential expression between PLN-positive and PLN-negative cervical cancer tissues were bioinformatically analyzed for target gene prediction. MiRNAs with tumor-associated target genes were validated by quantitative reverse transcription-polymerase chain reaction (RT-PCR). Results: Thirty-nine miRNAs were differentially expressed (>4-fold) between the PLN-positive and PLN-negative groups, of which, 22 were up-regulated and 17 were down-regulated. Sixty-nine percent of the miRNAs (27/39) had tumor-associated target genes, and the expression levels of six of those (miR-126, miR-96, miR-144, miR-657, miR-490-5p, and miR-323-3p) were confirmed by quantitative (q)RT-PCR. Conclusions: Six MiRNAs with predicted tumor-associated target genes encoding proteins that are known to be involved in cell adhesion, cytoskeletal remodeling, cell proliferation, cell migration, and apoptosis were identified. These findings suggest that a panel of miRNAs may regulate multiple and various steps of the metastasis cascade by targeting metastasis-associated genes. Since these six miRNAs are predicted to target tumor-associated genes, it is likely that they contribute to the metastatic potential of cervical cancer and may aid in prognosis or molecular therapy.

• 한국정보통신학회논문지
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• 제20권8호
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• pp.1531-1536
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• 2016

본 논문에서는 비디오 부호화에서 중요한 요소인 움직임 예측을 위한 고속 알고리즘을 제안한다. 기존의 고속 움직임 예측 방법들이 연구되어 왔지만 여전히 연산량 감축에 대한 문제점을 가지고 있다. 본 논문에서는 전영역 탐색기반의 방법에 비하여 예측화질은 같게 유지하면서 불필요한 계산량을 현저히 줄이는 알고리즘을 제안한다. 제안하는 방법은 움직임 벡터를 찾기 위해 후보 벡터의 블록에러합을 계산해 갈 때 각 후보지점에서 한 번에 블록에러합을 전부 계산하는 것이 아니라 탐색 영역에 있는 모든 화소에 대해 몇 단계로 나누어 부분 블록에러합을 계산하고 이를 통하여 전체의 최소에러를 갖는 지점을 일찍 유추하여 불필요한 계산량을 줄임으로써 계산속도의 향상을 얻는다. 제안한 알고리즘은 전영역 탐색 알고리즘과 같은 예측화질을 갖는 기존의 고속 알고리즘과 비교하여 더 적은 계산량을 사용한다.

• 한국콘텐츠학회논문지
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• 제14권9호
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• pp.102-109
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• 2014

HEVC의 화면내 예측 부호화는 예측 모드를 기존 H.264/AVC에 비해서 최대 35개까지 확장함으로써 향상된 부호화 효율을 갖는다. 반면 화면내 부호화의 복잡도 또한 크게 증가하여 복잡도 감소를 위한 고속 부호화 기법이 요구된다. 본 논문에서는 HEVC의 참조모델인 HM에 화면내 고속 부호화를 위하여 채택된 RMD(Rough Mode Decision)에 추가적으로 복잡도 감소를 위하여 고속 화면내 예측 모드 결정 기법을 제시한다. 본 기법은 후보 모드를 결정하기 위한 RMD 과정에서의 탐색 모드 수와 선택된 후보 모드로부터 최종 모드를 결정하기 위한 탐색 모드 수를 제한하는 방법을 결합하여 모드 결정을 위한 복잡도를 감소한다. 본 제안 기법은 실험결과 HM 12.0에서 다양한 테스트시퀀스에서 HM 대비 1.0%의 비트 증가로 13.2%의 복잡도를 감소시킬 수 있었다.

• Journal of Information Processing Systems
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• 제9권4호
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• pp.511-537
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• 2013

Numerous data intensive applications demand the efficient processing of a new type of query, which is called a progressive query (PQ). A PQ consists of a set of unpredictable but inter-related step-queries (SQ) that are specified by its user in a sequence of steps. A conventional DBMS was not designed to efficiently process such PQs. In our earlier work, we introduced a materialized view based approach for efficiently processing PQs, where the focus was on selecting promising views for materialization. The problem of how to efficiently find usable views from the materialized set in order to answer the SQs for a PQ remains open. In this paper, we present a new index technique, called the Dynamic Materialized View Index (DMVI), to rapidly discover usable views for answering a given SQ. The structure of the proposed index is a special ordered tree where the SQ domain tables are used as search keys and some bitmaps are kept at the leaf nodes for refined filtering. A two-level priority rule is adopted to order domain tables in the tree, which facilitates the efficient maintenance of the tree by taking into account the dynamic characteristics of various types of materialized views for PQs. The bitmap encoding methods and the strategies/algorithms to construct, search, and maintain the DMVI are suggested. The extensive experimental results demonstrate that our index technique is quite promising in improving the performance of the materialized view based query processing approach for PQs.

• Journal of Ginseng Research
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• 제41권3호
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• pp.419-427
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• 2017

Background: Glycosylation of natural compounds increases the diversity of secondary metabolites. Glycosylation steps are implicated not only in plant growth and development, but also in plant defense responses. Although the activities of uridine-dependent glycosyltransferases (UGTs) have long been recognized, and genes encoding them in several higher plants have been identified, the specific functions of UGTs in planta remain largely unknown. Methods: Spatial and temporal patterns of gene expression were analyzed by quantitative reverse transcription (qRT)-polymerase chain reaction (PCR) and GUS histochemical assay. In planta transformation in heterologous Arabidopsis was generated by floral dipping using Agrobacterium tumefaciens (C58C1). Protein localization was analyzed by confocal microscopy via fluorescent protein tagging. Results: PgUGT72AL1 was highly expressed in the rhizome, upper root, and youngest leaf compared with the other organs. GUS staining of the promoter: GUS fusion revealed high expression in different organs, including axillary leaf branch. Overexpression of PgUGT72AL1 resulted in a fused organ in the axillary leaf branch. Conclusion: PgUGT72AL1, which is phylogenetically close to PgUGT71A27, is involved in the production of ginsenoside compound K. Considering that compound K is not reported in raw ginseng material, further characterization of this gene may shed light on the biological function of ginsenosides in ginseng plant growth and development. The organ fusion phenotype could be caused by the defective growth of cells in the boundary region, commonly regulated by phytohormones such as auxins or brassinosteroids, and requires further analysis.

• 융합신호처리학회논문지
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• 제18권2호
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• pp.62-67
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• 2017

본 논문에서는 비디오 부호화 모듈에서 중요한 요소인 움직임 예측의 고속 알고리즘을 제안한다. 전영역 탐색 방법의 방대한 계산량으로 인하여 동일한 예측화질을 갖는 고속 움직임 예측 방법들이 연구되어 왔지만 여전히 예측화질향상과 연산량 감축에 대한 연구의 필요성을 가지고 있다. 본 논문에서는 전영역 탐색기반의 방법에 비하여 예측화질은 동일하게 유지하면서 불필요한 계산량을 줄이는 알고리즘을 제안한다. 제안하는 방법은 블록 에러 합을 계산할 때 각 후보지점에서 최소 에러의 가능성을 가진 후보들에게 우선순위를 부여하고, 이들에 대하여 우선적으로 부분 블록 에러 합을 계산한다. 이를 통하여 전체의 최소에러를 갖는 지점을 조기에 찾아내고, 불가능한 후보들을 더 빨리 제거함으로서 불필요한 계산량을 줄이고 계산속도의 향상을 얻는다. 제안한 알고리즘은 전영역 탐색 알고리즘과 같은 예측화질을 갖는 기존의 고속 알고리즘과 비교하여 매우 적은 계산량을 사용한다.

• International Journal of Computer Science & Network Security
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• 제23권3호
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• pp.49-56
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• 2023

Machine learning methods diversely applied to the Internet of Things (IoT) field have been successful due to the enhancement of computer processing power. They offer an effective way of detecting malicious intrusions in IoT because of their high-level feature extraction capabilities. In this paper, we proposed a novel feature selection method for malicious intrusion detection in IoT by using an evolutionary technique - Genetic Algorithm (GA) and Machine Learning (ML) algorithms. The proposed model is performing the classification of BoT-IoT dataset to evaluate its quality through the training and testing with classifiers. The data is reduced and several preprocessing steps are applied such as: unnecessary information removal, null value checking, label encoding, standard scaling and data balancing. GA has applied over the preprocessed data, to select the most relevant features and maintain model optimization. The selected features from GA are given to ML classifiers such as Logistic Regression (LR) and Support Vector Machine (SVM) and the results are evaluated using performance evaluation measures including recall, precision and f1-score. Two sets of experiments are conducted, and it is concluded that hyperparameter tuning has a significant consequence on the performance of both ML classifiers. Overall, SVM still remained the best model in both cases and overall results increased.

• IMMUNE NETWORK
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• 제3권3호
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• pp.219-226
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• 2003

Background: Phage display is the most widely used technique among display methods to produce monoclonal antibody fragment with a specific binding activity. Having a large library for efficient antibody display/selection is quite laborious process to have more than $10^9$ members of transformants. To overcome these limitations, several in vitro selection approaches have been reported. Ribosome display that links phenotypes, proteins, directly to genotype, mRNA, is one of the in vitro display methods. Ribosome display can reach the size of scFv library up to $10^{14}$ molecules and it can be further diversified during PCR steps. To select the high affinity scFv from one pot library, we established ribosome display technique by modifying the previously reported eukaryotic translation system. Methods: To establish the antibody selection system by ribosome display, we used 3D8, anti-DNA antibody. A 3D8 scFv was synthesized in vitro by an in vitro transcription-translation system. The translated 3D8 scFv and the encoding 3D8 mRNA are connected to the ribosome. These scFv-ribosome-mRNA complexes were selected by binding to their specific antigens. The eluted mRNAs from the complexes are reverse transcribed and re-amplified by PCR. To apply this system, antibody library from immunized mouse with terminal protein (TP)-peptide of hepatitis B virus DNA polymerase TP domain was also used. This TP-peptide encompasses the 57~80 amino acid residues of TP. These mRNA/ribosome/scFv complexes by our system were panned three times against TP-peptide. The enrichment of antibody from library was determined by radioimmunoassay. Results: We specifically selected 3D8, anti-DNA antibody, against ssDNA as a model system. The selected 3D8 RNAs sequences from translation complexes were recovered by RT-PCR. By applying this model system, we enriched TP-peptide-specific scFv pools through three cycles of panning from immunized library. Conclusion: We show that our translating ribosome complexes are well maintained and we can enrich the TP-specific scFv pools. This system can be applied to select specific antibody from an antibody library.

• Investigative Magnetic Resonance Imaging
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• 제6권1호
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• pp.64-72
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• 2002

목적 : 소아 뇌 질환에서의 자기공명분광법의 임상적 적용에 있어서 단일화적소 양성자 자기공명분광법과 고식적 이차원 양성자 자기공명분광법에 비해 혼성 이차원 양성자 자기공명분광법이 가지는 장점에 대하여 알아보고자 하였다. 대상 및 방법 : 생후 3일에서 15세까지의 79명의 소아 (정상소아 36명, 저산소성-허혈성 뇌 손상 10명, 대사성 질환 20명, 뇌막염-뇌염 3명, 뇌종양 7명, 신경섬유종증 1명, Sturge-Weber 증후군 1명, lissencephaly 1명)를 대상으로 81회의 혼성 이차원 양성자 자기공명분광검사를 시행하였다. 성인자원자(n=5)에서 단일화적소 양성자 자기공명분광법, 고식적 이차원 양성자 자기공명분광법, 그리고 혼성 이차원 양성자 자기공명분광법 모두를 실시하였고, 환아군 중 일부(n=12)에서 PRESS기법을 이용한 단일화적소 분광법과 혼성 이차원 양성자 자기공명 분광법을 함께 시행하였다. 1.5-T 초전도영상장치 하에서 standard head quatrature coil을 이용하여 양성자 자기공명분광을 얻었다. Phase encoding step은 16$\times$16으로 하였고, FOV는 환자 뇌의 크기에 따라 다양하게 하였으며, FOV내의 혼성 관심 체적 (hybrid VOI)은 $75{\times}75{\times}15{\;}\textrm{mm}^3$ 또는 그 이하로 함으로써 원하지 않는 지방에 의한 신호를 없애도록 하였다. PRESS기법 (TR/TE= 1,500 msec/135 또는 270 msec)을 적용하였고, 물에 의한 신호를 억제하기 위하여 chemical shift selective saturation pulse를 사용하였다. 혼성 이차원 양성자 자기공명분광검사의 획득시간(data acquistion time)과 분광의 질(spectral quality)을 단일화적소 양성자 자기공명분광법과 고식적이차원양성자 자기공명분광법의 그것과 비교하였다. 결과: 혼성 이차원 양성자 자기공명분광법은 79명의 소아 전 예에서 성공적으로 시행되었다. 단일화적소 양성자 자기공명분광법의 획득시간은 4.3분인 반면에, 혼성 이차원 양성자 자기공명분광법의 획득시간(data acquition time)은 6분 미만으로, 이는 소아의 뇌영상용으로 쓰기에 충분히 짧은 소요시간이었다. 혼성 이차원 양성자 자기공명분광법에 의한 분광은 단일화적소 자기공명분광법에 의한 분광과 거의 비슷한 민감도와 분광분해 능을 나타내었으며, 반면에 고식적인 이차원 양성자 자기공명분광법에 의한 분광보다는 훨씬 우수하였다.