• Title/Summary/Keyword: Identification and Detection

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Research on the detection of LCN DNA from traces on firearms (총기 흔적흔에서의 low copy number(LCN) DNA 검출에 관한 연구)

  • Jeon, Chung-Hyun;Park, Sung-Woo
    • Analytical Science and Technology
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    • v.24 no.1
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    • pp.51-59
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    • 2011
  • Genetic Identification has become an important forensic investigation method which discerns identity through analysis of physical samples discovered in various crime scenes. Recently more samples are being requested to undergo A-STR analysis of low copy number (LCN) DNA, which is known as touch evidence-type sample and left on various objects such as a pen briefly used by the criminal, the gear of the car used for driving, the handle, and various buttons inside a car. This research attempted to extract the LCN DNA of the touch evidencetype left on crushed fingerprints on firearms, etc. and examine the genotyping success rate. Four types of firearms (M16, K1A, COLT 45 Pistol, M29 Revolver) were fired individually and physical samples were gathered from four parts of each firearm. Subsequently, in order to extract the LCN DNA, Microkit and $Prepfiler^{TM}$ were used to compare and analyze the quantity of DNA extracted and the genotyping success rate. Analysis results showed that the quantity of DNA extracted by $Prepfiler^{TM}$ was on average 1.7 times higher than that of Microkit, and in genotype analysis success rate $Prepfiler^{TM}$ also demonstrated 24.9% on average in contrast to 0% for Microkit. In regards to the grip part of the K1A, $Prepfiler^{TM}$'s success rate was as high as 50.6%.

Genotypic Detection of Extended-Spectrum β-Lactamase-Producing of Klebsiella pneumoniae (Extended-Spectrum β-Lactamase 생성 Klebsiella pneumoniae 균주의 유전형 검출)

  • Yook, Keun-Dol;Yang, Byoung-Seon;Park, Jin-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1191-1196
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    • 2013
  • Among Gram-negative pathogens in Korea, the incidence of resistance to third generation cephalosporins is becoming an ever-increasing problem. The production of extended-spectrum ${\beta}$-lactamase (ESBL) is the main mechanism of bacterial resistance to a third-generation cephalosporins and monobactams. Accurate identification of the ESBL genes are necessary for surveillance and epidemiological studies of the mode of transmission in the hospital. This study was conducted to detect the genes encoding ESBL of 46 K. penumoniae isolated from Daejeon, Chungnam and Chungbuk regional university hospitals from February to August in 2012. The phenotypes of the isolated specimens were examined according to the combination disc test (CDT) by the Clinical and Laboratory Standards Institute (CLSI). Forty two ESBL producing K. penumoniae isolates could be detected using ceftazidime (CAZ) discs with and without clavulanate (CLA). By CDT, 42 K. pneumoniae strains were confirmed to be ESBL strains. Genotyping was performed by multiplex PCR with type-specific primers. By PCR analysis, TEM gene in 46 strains, SHV gene in 37 strains and CTX-M genes in 14 strains were identified. Ten isolates did carry genes encoding ESBLs of all types TEM, SHV and CTX-M. The multiplex polymerase chain reaction (PCR) analysis was better to detect and differentiate ESBL producing K. penumoniae strains in clinical isolates.

Carbapenemase-Producing Klebsiella oxytoca Detection Using Molecular Methods (분자학적 방법을 이용한 Carbapenemase-Producing Klebsiella oxytoca 검출)

  • Yang, Byoung Seon;Park, Ji Ae
    • Korean Journal of Clinical Laboratory Science
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    • v.51 no.4
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    • pp.428-435
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    • 2019
  • The rapid increase and dissemination of carbapene mases, such as Klebsiella pneumoniae carbapenemase (KPC), has become a major problem within the field of healthcare-related infection. There are few antibiotics to treat carbapenem-resistant Enterobacteriaceae (CRE) infections, so the identification of resistant bacterial mechanisms is critical to initiate infection control and conduct epidemiological research. A rapid and effective method for detecting KPC-producing bacteria is needed to avoid therapeutic failures and introduce measures to prevent and control the dissemination of these multi-resistant bacteria. During the study period, 31 isolates (seven isolates of Acinetobacter spp., six isolates of Morganella morganii, five isolates of Pseudomonas aeruginosa, five isolates of Proteus mirabilis, one isolate of Proteus vulgaris, two isolates of Enterobacter cloacae, one isolate of Enterobacter aerogenes, one isolate of Klebsiella pneumoniae, one isolate of Klebsiella oxytoca, one isolate of Serratia marcescens and one isolate of Escherichia coli) were identified by the VITEK. Gram negative rod bacteria were the most frequently isolated from urine (35.5%), blood (19.4%), sputum (16.1%), pus (9.7%), ascitic fluid (9.7%), tracheal aspirates (6.5%) and bile juice (3.2%). Analysis using the PCR method identified the blaKPC gene in the K. oxytoca1 strain, but the blaIMP, blaVIM and blaOXA-48 genes are not amplified. In conclusion, diagnosis using the PCR method can accurately and quickly diagnose KPC, thus establishing quick preventive measures to prevent the spread of KPC in hospitals.

A STUDY ON THE ERRORS UN THE CEPHALOMETRIC MEASUREMENTS (두부방사선사진의 계측오류에 관한 연구)

  • Na, Kwang-Cheon;Yoon, Young-Jooh;Kim, Kwang-Won
    • The korean journal of orthodontics
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    • v.28 no.1 s.66
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    • pp.75-83
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    • 1998
  • This study was done to recognize the importance of errors in measurements of cephalometric radiograph and to find the anatomical structures those need special care to select as a reference points through the detection of the systematic errors and estimation of random errors. For this purose, 100 cephalometric radiographs were prepared by usual manner and 61 reference points, and 130 measurement variables were established. Measurement errors were detected and estimated by the comparison of the 25 randomly-selected samples for repeated measurements with the main sample. The following results were obtained : 1. In comparison of the repeated measurements, there were statistical significant differences in 24 variables which were 18.4% of 130 total variables. 2. The frequency of the difference in identification of the reference points between the repeated measurements was very high in the root apex of upper incisor(as), the most posterior wall of maxilla(tu), soft tissue nasion(n'), soft tissue frontal eminence(ft), and ad3 in airway. 3. After correction of reference points marking until the level of below 5% significance, the range of random errors were from 0.67 to 1.71 degree or mm. 4. The variable shown the largest random error was the interincisal angle(ILs-ILi). 5. Measurement errors were mainly caused by the lack of precision in anatomic definitions and obscure radiographic image. From the above results, the author could find the high possibility of errors in cephalometric measurements and from this point, we should include error analysis in all the studies concerning measurments. In is essential to have a concept of error analysis not only for the investigator but also for a reader of other articles.

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A Method for Improving Vein Recognition Performance by Illumination Normalization (조명 정규화를 통한 정맥인식 성능 향상 기법)

  • Lee, Eui Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.2
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    • pp.423-430
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    • 2013
  • Recently, the personal identification technologies using vein pattern of back of the hand, palm, and finger have been developed actively because it has the advantage that the vein blood vessel in the body is impossible to damage, make a replication and forge. However, it is difficult to extract clearly the vein region from captured vein images through common image prcessing based region segmentation method, because of the light scattering and non-uniform internal tissue by skin layer and inside layer skeleton, etc. Especially, it takes a long time for processing time and makes a discontinuity of blood vessel just in a image because it has non-uniform illumination due to use a locally different adaptive threshold for the binarization of acquired finger-vein image. To solve this problem, we propose illumination normalization based fast method for extracting the finger-vein region. The proposed method has advantages compared to the previous methods as follows. Firstly, for remove a non-uniform illumination of the captured vein image, we obtain a illumination component of the captured vein image by using a low-pass filter. Secondly, by extracting the finger-vein path using one time binarization of a single threshold selection, we were able to reduce the processing time. Through experimental results, we confirmed that the accuracy of extracting the finger-vein region was increased and the processing time was shortened than prior methods.

Isolation and identification of Cryptosporidium from various animals in Korea I. Prevalence of Cyuptosporidium in various animals (한국산 동물로부터 크립토스포리디움의 분리 및 동정 I . 각종 동물의 크립토스포리더움 감염상황)

  • Lee, Jae-Gu;Seo, Yeong-Seok;Park, Bae-Geun
    • Parasites, Hosts and Diseases
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    • v.29 no.2
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    • pp.139-148
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    • 1991
  • Cryptosporidium, a coccidian protozoa, commonly causes a self-limiting diarrheal illness in humans and animals. Fecal samples from various animals in Chonbuk district were observed using Sheather's aoatation technique, Kinyoun's modified acid-fast staining, and osmic acid pre-fixed Giemsa staining. The oocysts were detected in 74 cages(29.6%) out of 250 cages of mature mice, 26 (13.3%) out of 195 mature house rats, 75 (15.0%) out of 4-week-old 500 fowls, 98(19.9%) out of 6 to 8-month-old 500 pigs, and 111(22,2%) out of 2 to 5-year-old 500 dairy cattle, respectively. The degree of prevalence was slight in general, but actual prevalence was higher than infection rate because the detection rates were higher in repeated-preparation examinations in comparison to the first examination. Meanwhile, large and small types of oocysts were detected from mice, house rats, pigs, and cattle, and midium type from fowls.

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Analytical Characteristics of Electron Spin Resonance for Identifying Irradiated Ramen Soup with Radiation Sources (방사선 조사된 라면수프의 조사선원에 따른 전자스핀공명 분석특성)

  • Ahn, Jae-Jun;Lee, Ju-Woon;Chung, Hyung-Wook;Kwon, Joong-Ho
    • Korean Journal of Food Science and Technology
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    • v.41 no.2
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    • pp.131-135
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    • 2009
  • The identification characteristics of irradiated commercial Ramen soup were investigated depending on radiation sources and doses by electron spin resonance (ESR) spectroscopy. Two commercial powder soups (RS-1, RS-2) were irradiated at 0 to 20 kGy under ambient conditions by both a Co-60 gamma irradiator and an electron beam (EB) accelerator, respectively. Crystalline sugar-induced multi-component signals with g-values of 2.010/2.011, 2.006, 2.002 and 1.999 were detected in the irradiated Ramen soup (RS-1, RS-2), whereas $Mn^{2+}$ signals were observed in non-irradiated samples, thereby distinguishing each other. Under the same analytical conditions, the intensity of ESR signals was higher in EB-irradiated samples than the gamma-irradiated ones. Determination coefficients ($R^2$) between irradiation doses and corresponding ESR responses were above 0.9665 in all the samples, and the magnetic field of specified g-value remained constant. The predominant ESR signals of $g_2$ (2.010-2.011) and $g_3$ (2.002) increased with corresponding doses of irradiation ($R^2$= 0.9750-0.9981).

Enzymological Properties of the Alkaline AL-Protease from Arthrobacter luteus and Detection of Its Active Amino Acid Residue (Arthrobacter luteus로부터 유래한 염기성 AL-Protease의 효소학적 성질 및 활성 아미노산 잔기의 검색)

  • Oh, Hong-Rock;Aizono, Yasuo;Funatsu, Masaru
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.13 no.2
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    • pp.193-204
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    • 1984
  • The enzymatic properties of the alkaline AL-protease, which had been prepared from the crude zymolyase of Arthrobzoter luteus, was investigated together with its active amino acid residue. Complete inactivaton of the proteolytic activity of AL-protease by either DFP or PMSF was simultaneously accompanied by the loss of its lytic effect on the lysis of yeast cell wall. In the reaction, AL-protease showed the pattern of inactivation to decrease very slowly, as compared to that of chymotrypsin, and that enzyme and DFP were found to react with a molar ratio of 1 : 1. The preparation of AL-protease exhibited no hydrolytic activity in any substrates of polysaccharases, playing a significant role in the lysis of yeast cell wall. The optimum pH and temperature of AL-protease was pH 10.5 and $65^{\circ}C$, respectively. It also showed stability in the pH range from 5 to 11 and at the temperature below $65^{\circ}C$. Through the identification of the amino acid residue in the active site of the $^{32}P$-diisopropylph-osphorylated(DIP) AL-protease modified specifically with $^{32}P$-labeled DFP, AL-protease was found to be a DFP-sensitive which has a mole of active serine residue involved in its proteolytic activity per mole of the enzyme.

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Characterization of Streptococcosis Occurrence and Molecular Identification of the Pathogens of Cultured Flounder in Jeju Island (제주지역 양식넙치의 연쇄구균증 발생동향 및 원인균에 대한 분자적 동정)

  • Jeong, Yong-Uk;Kang, Chul-Young;Kim, Min-Ju;Heo, Moon-Soo;Oh, Duck-Chul;Kang, Bong-Jo
    • Korean Journal of Microbiology
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    • v.42 no.3
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    • pp.199-204
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    • 2006
  • Streptococcosis of olive flounder(Paralichthys olivaceus) is an important bacterial disease in Jeju island. In this study, we investigated monthly infection pattern of this disease in different size of the flounder fish. Even though the disease occurred throughout the year, the infection ratio was relatively higher in the months with warm water season. The infection was more prevalent in adult flounder over 30 cm total length compare to these of small size fish. Two infectious species of streptococcosis pathogens were detected by multiplex PCR assay. Detection ratios of Streptococcus iniae and S. parauberis reached up to 46% and 54%, respectively, from June 2003 to May 2005 in Jeju island. S. iniae occurred intensively from September to October, whereas S. parauberis reported from March to May. S. iniae and S. parauberis infections of cultured flounder share some common features, but clinical findings showed considerable differences between two diseases. Distended abdomen, protruded anus and ascitic fluid in the peritoneal cavity are evident lesions detected in S. iniae infection, whereas, flounders infected by S. parauberis showed prominent lesions such as darkened surface and haemorrhaging in the non-ocular side. Both streptococcosis pathogens were sensitive to antibiotics, such as ampicillin and amoxicillin. However, S. iniae strains were more sensitive to doxycycline, erythromycin and oxytetracycline than S. parauberis strains.

A Novel of Data Clustering Architecture for Outlier Detection to Electric Power Data Analysis (전력데이터 분석에서 이상점 추출을 위한 데이터 클러스터링 아키텍처에 관한 연구)

  • Jung, Se Hoon;Shin, Chang Sun;Cho, Young Yun;Park, Jang Woo;Park, Myung Hye;Kim, Young Hyun;Lee, Seung Bae;Sim, Chun Bo
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.10
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    • pp.465-472
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    • 2017
  • In the past, researchers mainly used the supervised learning technique of machine learning to analyze power data and investigated the identification of patterns through the data mining technique. Data analysis research, however, faces its limitations with the old data classification and analysis techniques today when the size of electric power data has increased with the possible real-time provision of data. This study thus set out to propose a clustering architecture to analyze large-sized electric power data. The clustering process proposed in the study supplements the K-means algorithm, an unsupervised learning technique, for its problems and is capable of automating the entire process from the collection of electric power data to their analysis. In the present study, power data were categorized and analyzed in total three levels, which include the row data level, clustering level, and user interface level. In addition, the investigator identified K, the ideal number of clusters, based on principal component analysis and normal distribution and proposed an altered K-means algorithm to reduce data that would be categorized as ideal points in order to increase the efficiency of clustering.