• 한국수학교육학회지시리즈B:순수및응용수학
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• 제23권4호
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• pp.385-387
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• 2016

$Fo{\check{s}}ner$ [4] defined a generalized module left (m, n)-derivation and proved the Hyers-Ulam stability of generalized module left (m, n)-derivations. In this note, we prove that every generalized module left (m, n)-derivation is trival if the algebra is unital and $m{\neq}n$.

• 한국생명과학회:학술대회논문집
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• 한국생명과학회 2006년도 제47회 학술심포지움 및 추계국제학술대회
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• pp.114.1-114.1
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• 2006

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제24권1호
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• pp.33-34
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• 2017

$Fo{\check{s}}ner$ [1] defined a module left (m, n)-derivation and proved the Hyers-Ulam stability of module left (m, n)-derivations. In this note, we prove that every module left (m, n)-derivation is trival if the algebra is unital and $m{\neq}n$.

• Genomics & Informatics
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• 제17권2호
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• pp.21.1-21.6
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• 2019

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that including named entity annotations can improve the speed and quality of dependency parses. As part of BLAH5, we built a web service delivering improved dependency parses by taking into account named entity annotations obtained by third party services. Our evaluation shows improved results and better speed.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.434-436
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• 2023

본 연구는 관세 데이터를 BERT 기반 모델을 활용한 개체명 인식(NER)모델을 제안한다. 관세 분야 국내 첫 시도이며, 선행연구들과 달리 개체명 인식에 초점을 맞춘다. 관세 관련 텍스트에서 고유한 의미의 개체를 인식하는 것이 주요 목표이다. 이 연구는 관세 분야의 개체명 인식에 대한 이해도를 높이고 향후 HS 코드 검색 시스템 개발에 대한 기초 연구를 제공한다.

• 정보과학회 논문지
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• 제44권3호
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• pp.306-313
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• 2017

개체명 인식이란 문서 내에서 인명, 기관명, 지명, 시간, 날짜 등 고유한 의미를 가지는 개체명을 추출하여 그 종류를 결정하는 것을 말한다. 최근 개체명 인식 연구에서 가장 우수한 성능을 보여주고 있는 모델은 Bidirectional LSTM CRFs 모델이다. 이러한 LSTM 기반의 딥 러닝 모델은 입력이 되는 단어 표상에 의존적이다. 따라서 입력이 되는 단어를 잘 표현하기 위하여 단어 표상을 확장하는 방법에 대한 연구가 많이 진행되어지고 있다. 본 논문에서는 한국어 개체명 인식을 위하여 Bidirectional LSTM CRFs모델을 사용하고, 그 입력으로 사용되는 단어 표상을 확장하기 위해 사전 학습된 단어 임베딩 벡터, 품사 임베딩 벡터, 음절 기반에서 확장된 단어 임베딩 벡터, 그리고 개체명 사전 자질 벡터를 사용한다. 최종 단어 표상 확장 결과 사전 학습된 단어 임베딩 벡터만 사용한 것 보다 8.05%p의 성능 향상을 보였다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권2호
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• pp.941-946
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• 2013

Objective: The nucleotide excision repair (NER) and base excision repair (BER) pathways, two DNA repair pathways, are related to platinum resistance in cancer treatment. In this paper, we studied the association between single nucleotide polymorphisms (SNPs) of involved genes and response to platinum-based chemotherapy in epithelial ovarian cancer. Method: Eight SNPs in XRCC1 (BER), XPC and XPD (NER) were assessed in 213 patients with epithelial ovarian cancer using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and primer-introduced restriction analysis-polymerase chain reaction (PIRA-PCR) techniques. Results: The median progression-free survival (PFS) of patients carrying the Lys/Lys and Lys/Gln+Gln/Gln genotype of the XPC Lys/Gln polymorphism were 25 and 12 months, respectively (P=0.039); and the mean overall survival (OS) of patients was 31.1 and 27.8 months, respectively (P=0.048). Cox's multivariate analysis suggested that patients with epithelial ovarian cancer with the Gln allele had an increased risk of death (HR=1.75; 95% CI=1.06-2.91) compared to those with the Lys/Lys genotype. There are no associations between the XPC PAT+/-, XRCC1 Arg194Trp, Arg280His, Arg399Gln, and XPD Asp312Asn, Lys751Gln polymorphisms and the survival of patients with epithelial ovarian cancer when treated with platinum-based chemotherapy. Conclusion: Our results indicated that the XPC Lys939Gln polymorphism may correlate with clinical outcome of patients with epithelial ovarian cancer when treated with platinum-based chemotherapy in Northern China.

• 정보처리학회논문지B
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• 제10B권2호
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• pp.229-236
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• 2003

개체명 인식은 질의응답 시스템이나 정보 추출 시스템에서 필수 불가결한 과정이다. 이 논문에서는 HMM 기반의 복합 명사 구성 원리를 이용한 한국어 개체명 인식 방법에 대해 설명한다. 한국어에서 많은 개체명들이 하나 이상의 단어로 구성되어 있다. 또한, 하나의 개체명을 구성하는 단어들 사이와 개체명과 개체명 주위의 단어 사이에도 문맥적 관계를 가지고 있다. 본 논문에서는 단어들을 개체명 독립 단어, 개체명 구성 단어, 개체명 인접 단어로 분류하고, 개체명 관련 단어 유형과 품사를 기반으로 HMM을 학습하였다. 본 논문에서 제안하는 개체명 인식 시스템은 가변길이의 개체명을 인식하기 위해 트라이그램 모델을 사용하였다. 트라이그램 모델을 이용한 HMM은 데이터 부족 문제를 가지고 있으며, 이를 해결하기 위해 다단계 백-오프를 이용하였다. 경제 분야 신문기사를 이용한 실험 결과 F-measure 97.6%의 결과를 얻었다.

• Molecular & Cellular Toxicology
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• 제4권4호
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• pp.338-347
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• 2008

Yeast RAD2, a yeast homolog of human XPG gene, is an essential element of nucleotide excision repair (NER), and its deletion confers UV sensitivity and NER deficiency. 6-Azauracil (6AU) sensitivity of certain rad2 mutants revealed that RAD2 has transcription elongation function. However, the fundamental mechanism by which the rad2 mutations confer 6AU sensitivity was not clearly elucidated yet. Using an insertional mutagenesis, PUF4 gene encoding a yeast pumilio protein was identified as a deletion suppressor of rad2${\Delta}$ 6AU sensitivity. Microarray analysis followed by confirmatory RT-qPCR disclosed that RAD2 and PUF4 regulated expression of HPT1 and URA3. Overexpression of HPT1 and URA3 rescued the 6AU sensitivity of rad2${\Delta}$ and puf4${\Delta}$ mutants. These results indicate that 6AU sensitivity of rad2 mutants is in part ascribed to impaired expression regulation of genes in the nucleotide metabolism. Based on the results, the possible connection between impaired transcription elongation function of RAD2/XPG and Cockayne syndrome via PUF4 is discussed.

• Structural Engineering and Mechanics
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• 제29권5호
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• pp.505-530
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• 2008

This paper proposes the application of active multiple tuned mass dampers (AMTMD) for translational and torsional response control of a simplified two-degree-of-freedom (2DOF) structure, able to represent the dynamic characteristics of general asymmetric structures, under the ground acceleration. This 2DOF structure is a generalized 2DOF system of an asymmetric structure with predominant translational and torsional responses under earthquake excitations using the mode reduced-order method. Depending on the ratio of the torsional to the translational eigenfrequency, i.e. the torsional to translational frequency ratio (TTFR), of asymmetric structures, the following three cases can be distinguished: (1) torsionally flexible structures (TTFR < 1.0), (2) torsionally intermediate stiff structures (TTFR = 1.0), and (3) torsionally stiff structures (TTFR > 1.0). The even distribution of the AMTMD within the whole width and half width of the asymmetric structure, thus leading to three cases of installing the AMTMD (referred to as the AMTMD of case 1, AMTMD of case 2, AMTMD of case 3, respectively), is taken into account. In the present study, the criterion for searching the optimum parameters of the AMTMD is defined as the minimization of the minimum values of the maximum translational and torsional displacement dynamic magnification factors (DMF) of an asymmetric structure with the AMTMD. The criterion used for assessing the effectiveness of the AMTMD is selected as the ratio of the minimization of the minimum values of the maximum translational and torsional displacement DMF of the asymmetric structure with the AMTMD to the maximum translational and torsional displacement DMF of the asymmetric structure without the AMTMD. By resorting to these two criteria, a careful examination of the effects of the normalized eccentricity ratio (NER) on the effectiveness and robustness of the AMTMD are carried out in the mitigation of both the translational and torsional responses of the asymmetric structure. Likewise, the effectiveness of a single ATMD with the optimum positions is presented and compared with that of the AMTMD.