• 제목/요약/키워드: Center Identification

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EU REACH의 물질확인 방법론 고찰 (Perspective on substance identification in REACH)

  • 나진성;박광서;최은경;김상헌
    • 분석과학
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    • 제34권3호
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    • pp.99-114
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    • 2021
  • 물질확인은 화학물질 등록법에서 수행해야 하는 첫 단계로 올바른 물질확인은 이어지는 유해성 및 위해성 평가를 정확하게 효율적으로 하는데 필수적이다. 이에 톤수별 물질 등록을 모두 마친 EU REACH의 물질확인 절차를 유럽화학물질청 홈페이지 및 관련 지침서와 컨소시움 자료를 참고하여 살펴 보았고 물질확인과 물질의 동질성 확인 그리고 이를 위한 물질확인 프로파일 생성의 중요성을 고찰해보았다. 또한 기기분석에 의한 분석 결과 중 어떤 정보를 어떻게 정리하여 물질확인 프로파일을 생성하는지에 초점을 맞추어 몇 개 주요 유형별 물질을 사례로 제시해보았다. 분석과학은 화학물질 등록법이 정확하고 효율적으로 이행될 수 있도록 첫 단계인 물질확인에서 기여를 할 수 있는데 단, 법에 대한 이해를 기반으로 같은 물질의 등록자들의 분석 결과를 물질확인 프로파일로 최종 정리하여 공동 등록을 하는 등록자들과 관계 당국과 소통하는 것이 필수적이다.

Microsatellite Marker를 이용한 한국재래돼지 집단의 품종특성 및 원산지 추적을 위한 개체식별체계 설정 (Characterization of a Korean Traditional Porcine Breed Using Microsatellite Markers and the Establishment of an Individual Identification System)

  • 김명직;이관호;오재돈;조규호;전기준;최봉환;이제현;홍윤숙;공홍식;이학교
    • 한국축산식품학회지
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    • 제27권2호
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    • pp.150-156
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    • 2007
  • 본 연구는 서로 다른 상염색체에 위치하고 있는 초위성체 유전 표지를 활용한 한국재래돼지 집단의 개체 식별시스템 설정을 위해 수행되었다. 공시재료는 4품종에서 총 446두가 사용되었으며 13종의 좌위에 대한 개체별 유전자형을 분석하였다. 이들 13종에서 출현된 이형접합도는 0.286-0.686였으며 marker 다형성 정보량은 0.399-0.796로 나타났다. 한국 재래돼지 집단에서 나타난 대립 유전자 발현 특성은 다른 대조 품종 집단과 매우 상이한 결과를 나타냈다. S0228좌위는 전체 8종의 대립유전자가 나타난 가운데 다른 3품종에서는 발현이 되지 않은 235 대립유전자가 한국 재래돼지 집단에서만 발현이 되었다. 5종의 초위성체 유전 표지를 활용할 경우 누적 개체 식별력은 99.999%를 나타냈으며 두 마리의 서로 다른 개체가 서로 같은 유전자형을 가질 짝확률은 $0.36{\times}10^{-9}$으로 추정되었다. 따라서 10종의 선정된 유전 표지는 한국재래돼지 집단에서 적정 신뢰도를 제공할 수 있는 개체 식별 시스템을 설정할 수 있을 것으로 생각된다.

Jammer Identification: Spectral Correlation Function and Wavelet Coherence

  • Jin, Mi Hyun;Choi, Yun Sub;Choi, Heon Ho;Lee, Sang Jeong
    • Journal of Positioning, Navigation, and Timing
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    • 제7권3호
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    • pp.147-153
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    • 2018
  • Jamming countermeasures are used to decrease or prevent the impact of intentional jamming applied to degrade the quality of information provided by a global navigation satellite system (GNSS) receiver. The maximum performance of jamming countermeasure can be obtained only when a proper technique is applied according to the type of jammer. This paper suggests a jamming identification technique for providing information regarding the type of jamming. The center frequency and bandwidth of jammer signal are inconsistent and may change according to time, and thus a spectral correlation function and wavelet coherence were considered in order to analyze the signal in the time and frequency space. Because the two characteristics derive different analysis results, two different identification techniques were suggested and the performances thereof were analyzed. Numerical results show that the two identification techniques have relative advantages and disadvantages as to time consumed and performance. The suggested methods can sufficiently identify the jammer before the GNSS receiver becomes inoperable because of jamming.

A Novel Active User Identification Method for Space based Constellation Network

  • Kenan, Zhang;Xingqian, Li;Kai, Ding;Li, Li
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.212-216
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    • 2022
  • Space based constellation network is a kind of ad hoc network in which users are self-organized without center node. In space based constellation network, users are allowed to enter or leave the network at any given time. Thus, the number of active users is an unknown and time-varying parameter, and the performance of the network depends on how accurately this parameter is estimated. The so-called problem of active user identification, which consists of determining the number and identities of users transmitting in space based constellation network is discussed and a novel active user identification method is proposed in this paper. Active user identification code generated by transmitter address code and receiver address code is used to spread spectrum. Subspace-based method is used to process received signal and judgment model is established to identify active users according to the processing results. The proposed method is simulated under AWGN channel, Rician channel and Rayleigh channel respectively. Numerical results indicate that the proposed method obtains at least 1.16dB Eb/N0 gains compared with reference methods when miss alarm rate reaches 10-3.

Human Paraoxonase 1(PON1)의 유전자 다형성에 따른 중풍환자의 습담 변증과의 상관성 연구 (Genetic Association of SNPs Located at PON1 Gene with Dampness and Phlegm Pattern Identification among Korean Stroke Patients)

  • 임지혜;고미미;이정섭;방옥선;차민호
    • 대한한방내과학회지
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    • 제31권4호
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    • pp.752-762
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    • 2010
  • Objective : In the present study, we investigated genetic distribution of eight single nucleotide polymorphisms of PON1 between Dampness and Phlegm and non Dampness and Phlegm pattern identification(PI) among Korean stroke patients. Materials and Methods : One hundred forty stroke subject without Dampness and Phlegm and fifty eight stroke subjects with Dampness and Phlegm were participated in this study. After informed consents, eight single nucleotide polymorphisms(SNPs) in PON1 of each subjects were identified by DNA sequencing and primer extension method and statistical analysis was performed to determine the significant difference between Dampness and Phlegm and non Dampness and Phlegm groups. Results : Among anthropometric characteristics and blood parameters, waist circumference and total cholesterol were significantly higher in Dampness and Phlegm. Among 8 SNPs of PON1, frequency of M allele and subjects with M allele in L55M SNP were significantly higher in Dampness and Phlegm group (p=0.0032 and p=0.0053, respectively) but subjects with T allele in C-2033T SNP were lower in Dampness and Phlegm group(p=0.0302). Effect of L55M and C-2033T on Dampness and Phlegm were 3.07% and 1.75%, respectively. Conclusion : Our results suggest that L55M SNP in exon and C-2033T in promoter region of PON1 maybe affect to Dampness and Phlegm pattern identification. However, further study should be carried out to find out the detailed mechanism how L55M and C-2033T can affect Dampness and Phlegm stroke patients.

Development and Evaluation of a Next-Generation Sequencing Panel for the Multiple Detection and Identification of Pathogens in Fermented Foods

  • Dong-Geun Park;Eun-Su Ha;Byungcheol Kang;Iseul Choi;Jeong-Eun Kwak;Jinho Choi;Jeongwoong Park;Woojung Lee;Seung Hwan Kim;Soon Han Kim;Ju-Hoon Lee
    • Journal of Microbiology and Biotechnology
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    • 제33권1호
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    • pp.83-95
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    • 2023
  • These days, bacterial detection methods have some limitations in sensitivity, specificity, and multiple detection. To overcome these, novel detection and identification method is necessary to be developed. Recently, NGS panel method has been suggested to screen, detect, and even identify specific foodborne pathogens in one reaction. In this study, new NGS panel primer sets were developed to target 13 specific virulence factor genes from five types of pathogenic Escherichia coli, Listeria monocytogenes, and Salmonella enterica serovar Typhimurium, respectively. Evaluation of the primer sets using singleplex PCR, crosscheck PCR and multiplex PCR revealed high specificity and selectivity without interference of primers or genomic DNAs. Subsequent NGS panel analysis with six artificially contaminated food samples using those primer sets showed that all target genes were multi-detected in one reaction at 108-105 CFU of target strains. However, a few false-positive results were shown at 106-105 CFU. To validate this NGS panel analysis, three sets of qPCR analyses were independently performed with the same contaminated food samples, showing the similar specificity and selectivity for detection and identification. While this NGS panel still has some issues for detection and identification of specific foodborne pathogens, it has much more advantages, especially multiple detection and identification in one reaction, and it could be improved by further optimized NGS panel primer sets and even by application of a new real-time NGS sequencing technology. Therefore, this study suggests the efficiency and usability of NGS panel for rapid determination of origin strain in various foodborne outbreaks in one reaction.

급성기 허혈성 뇌경색 환자들의 변증 분형과 위험 요인들간의 관련성 연구 (The Relationship between Pattern Identification and Stroke Risk Factors of Acute Ischemic stroke Patients)

  • 이지현;두경희;여서원;심소라;박주영;조승연;정우상;문상관;박정미;고창남;조기호;김영석;배형섭;박성욱
    • 대한중풍순환신경학회지
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    • 제13권1호
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    • pp.43-51
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    • 2012
  • Object : The purpose of this study was to evaluate the relationship between pattern identification (PI) and stroke risk factors, such as hypertension, diabetes mellitus, dyslipidemia, stroke history, obesity, abdominal obesity and metabolic syndrome. Methods : 46 patients with acute ischemic stroke were recruited from May 2012 to November, 2012. We analyzed the data of 32 patients, and pattern identification was identified by resident and specialist of Korean medicine. We analized patient's PI and risk factor by Fisher's exact test. Results : We found that Dampness-phlegm group was more related with patient's metabolic syndrome than non Dampness-Phlegm group. And Yin deficiency group had less relationship with patient's metabolic syndrome, obesity, abdominal obesity and dyslipidemia than non Yin deficiency group. Conclusions : According to the analysis, these results provide evidence for relationship between the Dampness-phlegm group, Yin deficiency and metabolic syndrome.

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한국형 중풍변증 표준 III을 이용한 변증진단 판별모형 (Discriminant Modeling for Pattern Identification Using the Korean Standard PI for Stroke-III)

  • 강병갑;고미미;이주아;박태용;박용규
    • 동의생리병리학회지
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    • 제25권6호
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    • pp.1113-1118
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    • 2011
  • In this paper, when a physician make a diagnosis of the pattern identification (PI) in Korean stroke patients, the development methods of the PI classification function is considered by diagnostic questionnaire of the PI for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PI subtypes diagnosed by two physicians with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PI using Korean Stroke Syndrome Differentiation Standard was consist of the 44 items (Fire heat(19), Qi deficiency(11), Yin deficiency(7), Dampness-phlegm(7)). Using the 44 items, we took diagnostic and prediction accuracy rate through of discriminant model. The overall diagnostic and prediction accuracy rate of the PI subtypes for discriminant model was 74.37%, 70.88% respectively.