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Journal articles on the topic 'Conventional identification'

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Author: Grafiati

Published: 10 March 2023

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1

Michaelides, P. G., and S. D. Fassois. "Experimental identification of structural uncertainty – An assessment of conventional and non-conventional stochastic identification techniques." Engineering Structures 53 (August 2013): 112–21. http://dx.doi.org/10.1016/j.engstruct.2013.03.033.

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2

Witebsky, Frank G., and Kruczak-Filipov Patricia. "Identification of Mycobacteria by Conventional Methods." Clinics in Laboratory Medicine 16, no. 3 (September 1996): 569–601. http://dx.doi.org/10.1016/s0272-2712(18)30256-7.

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3

Sheree Lin, C. C., and Daniel Y. C. Fung. "Conventional and Rapid Methods for Yeast Identification." CRC Critical Reviews in Microbiology 14, no. 4 (January 1987): 273–89. http://dx.doi.org/10.3109/10408418709104441.

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4

Feng, Cui Ju, and Wei Lin Yan. "Fracture Qualitative Identification Using Conventional Logging Data." Applied Mechanics and Materials 316-317 (April 2013): 822–25. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.822.

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Fractured reservoir evaluation is always a huge challenge for the oil exploration and development.The paper summarizes the response characteristics of fracture in conventional logging curves and gives 4 parameters which can identify fractures.Furthermore the paper proposes a comprehensive probability index of fracture which can integrate the 4 parameters above and indicate fracture develop rate qualitatively.In addition,the paper classified fracture developing level into three levels.Actual process shows that this method can indicate fracture develop rate,search fractured formation and guide actual production.

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Rathna Kumar, S. B., Panchanan Mohanty, Pranjali Anand Ujawane, and Yash Rajeev Huzurbazar. "Conventional speech identification test in Marathi for adults." International Journal of Otorhinolaryngology and Head and Neck Surgery 2, no. 4 (September 26, 2016): 205. http://dx.doi.org/10.18203/issn.2454-5929.ijohns20163467.

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<p class="abstract"><strong>Background:</strong> The present study aimed to develop conventional speech identification in Marathi for assessing adults by considering word frequency, familiarity, words in common use and phonemic balancing.</p><p class="abstract"><strong>Methods:</strong> A total of four word lists were developed with each word list consisting of 25 words out of which 60% are monosyllabic words in CVC structure, and 40% are disyllabic words in CVCV structure. Equivalence analysis and performance-intensity function testing was carried out using four word lists on native speakers of Marathi belonging to different regions of Maharashtra (i.e. Vidarbha, Marathwada, Khandesh and Northern Maharashtra, Konkan and Pune) who were equally divided into five groups based on above mentioned regions. </p><p class="abstract"><strong>Results:</strong> The results revealed that there was no statistically significant difference (p >0.05) in the speech identification performance between groups for each word list, and between word lists for each group. The performance-intensity (PI) function curve showed semi-linear function, and the groups’ mean slope of the curve indicated an average slope of 4.5% increase in speech identification score per dB for four word lists. Although, there is no data available on speech identification tests for adults in Marathi, most of the findings of the study are in line with the findings of research reports on other Indian languages.</p><p><strong>Conclusions:</strong> The four word lists developed were found to be equally difficult for all the groups and can be used interchangeably. Thus, the developed word lists were found to be reliable and valid materials for assessing speech identification performance of adults in Marathi.</p><p> </p>

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Naznin, Rezuana, Nasrin Sultana, Md Nur Hossain, Mohammad Nurul Islam, Anika Tabassum, Md Ataul Gani, and Mahbubah Jannat. "Conventional and Molecular Identification of Culturable Airborne Bacteria." Plant Tissue Culture and Biotechnology 30, no. 1 (June 25, 2020): 15–25. http://dx.doi.org/10.3329/ptcb.v30i1.47787.

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Bacteria isolated from the environment during the present study were representative of normal microflora of the skin, respiratory and urinary tracts; it also includes some soil and water-borne pathogenic and nonpathogenic genera. Six samples from different locations were studied for bacterial investigation. Among 14 isolates obtained, 13 were Gram positive, and the rest one was Gram negative. Out of 13 Gram positive isolates, 12 were round-shaped non spore forming and were identified as Planococcus citreus, Stomatococcus mucilaginosus, Kocuria kristinae, Micrococcus agilis (2), Kytococcus sedentarius (2), Micrococcus luteus, Micrococcus lylae and M. roseus, Staphylococcus aureus, Staphylococcus epidermidis and rod-shaped non spore forming identified as Renibacterium salmoninarum. The Gram-negative bacteria was identified as Pseudomonas aeruginosa. Other than provisional identification, two isolates (JG 40 and SG 49) were further confirmed through molecular characterization on the basis of 16Sr RNA gene sequence analysis as Staphylococcus aureus and Pseudomonas aeruginosa repectively. Spearman’s correlation showed that air temperature and wind speed negatively correlated with the bacterial abundance. It is clear that none of the samples containing airborne pathogens collected was safe for human health due to presence of potentially pathogenic microorganisms. Many were human pathogenic as well as food poisoning microorganisms. Plant Tissue Cult. & Biotech. 30(1): 15-25, 2020 (June)

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Fatania, Nita, Mark Fraser, Mike Savage, Jason Hart, and Alireza Abdolrasouli. "Comparative evaluation of matrix-assisted laser desorption ionisation-time of flight mass spectrometry and conventional phenotypic-based methods for identification of clinically important yeasts in a UK-based medical microbiology laboratory." Journal of Clinical Pathology 68, no. 12 (August 25, 2015): 1040–42. http://dx.doi.org/10.1136/jclinpath-2015-203029.

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AimsPerformance of matrix-assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF MS) was compared in a side-by side-analysis with conventional phenotypic methods currently in use in our laboratory for identification of yeasts in a routine diagnostic setting.MethodsA diverse collection of 200 clinically important yeasts (19 species, five genera) were identified by both methods using standard protocols. Discordant or unreliable identifications were resolved by sequencing of the internal transcribed spacer region of the rRNA gene.ResultsMALDI-TOF and conventional methods were in agreement for 182 isolates (91%) with correct identification to species level. Eighteen discordant results (9%) were due to rarely encountered species, hence the difficulty in their identification using traditional phenotypic methods.ConclusionsMALDI-TOF MS enabled rapid, reliable and accurate identification of clinically important yeasts in a routine diagnostic microbiology laboratory. Isolates with rare, unusual or low probability identifications should be confirmed using robust molecular methods.

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8

Páčová, Z., E. Urbanová, and E. Durnová. "Psychrobacter immobilis isolated from foods: characteristics and identification." Veterinární Medicína 46, No. 4 (January 5, 2015): 95–100. http://dx.doi.org/10.17221/7866-vetmed.

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A total of 15 strains of Psychrobacter immobilis isolated from animal sources, e.g. cheese, fish and poultry, were tested. A commercial diagnostic kit NEFERMtest 24, conventional tests and determination of fatty acids were used for identification. By using the results of NEFERMtest 24 and numerical identification system TNW version 6.0 the identification was successful on the species level (46.7%) while the correct species identification by using conventional tests increased up to 86.7%. All 9 saccharolytic strains including 7 Czech isolates were identified in most cases on an excellent or very good level by both methods based on biochemical reactions. On the other hand, the identification of 6 asaccharolytic strains was unsuccessful especially by NEFERMtest 24. While 4 asaccharolytic strains were identified correctly on the basis of conventional tests on species or genus level, incorrect identification on species level, for example Ralstonia paucula, Comamonas terrigena, Oligella ureolytica, Moraxella lincolnii andPsychrobacter phenylpyruvicus, was found by using NEFERMtest 24. Determination of fatty acid composition by MIDI System confirmed the species identification of 9 out of the 10 tested strains of P. immobilis and 1 tested strain of Psychrobacter sp.

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ROBISON, BARBARA J., and CHRISTIAN P. CUNNINGHAM. "Accuracy of Micro-ID® Listeria for Identification of Members of the Genus Listeria." Journal of Food Protection 54, no. 10 (October 1, 1991): 798–800. http://dx.doi.org/10.4315/0362-028x-54.10.798.

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Conventional culture procedures for identification of members of the genus Listeria are tedious and time consuming. Recently, a rapid identification system, MICRO-ID® Listeria, was developed which allows identification of members of the genus Listeria to the species level. A total of 63 cultures representing 7 species of Listeria and 10 cultures of other gram-positive organisms was identified. All isolates were evaluated both by MICRO-ID® Listeria and conventional biochemical procedures. Identification using MICRO-ID® Listeria was accomplished by determining the octal code, CAMP, and hemolysis reactions. The MICRO-ID® Listeria and the Bacteriological Analytical Manual (BAM) identifications agreed on all 73 cultures. The test strips were easy to inoculate and read, and results were obtained 24 h after inoculation, as compared to 7 d for the BAM procedure.

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10

Jarnagin, Jerald L., and Merrill R. Swanson. "Computer Analysis as an Aid in Identification of Mycobacteria." Journal of Veterinary Diagnostic Investigation 1, no. 1 (January 1989): 25–28. http://dx.doi.org/10.1177/104063878900100109.

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One hundred eighty-four isolates representing 23 species of mycobacteria were identified using computer-assisted analysis. All isolates were examined using a standard series of 12 biochemical tests. These tests were selected because of their reproducibility and ease of performance in the laboratory. Data from these tests were analyzed by a computer that had been previously programmed to process the information and make a species determination. Identifications from the probability model were compared to identifications from conventional methods. There was 96.7% agreement between the 2 methods. The computer-assisted data analysis for identification provides increased accuracy over conventional methods because a statistical probability is applied. It also requires less time. Differences in computer data between mycobacterial species are discussed.

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Rantanen, Rami, and Urpo Kortela. "IDENTIFICATION OF RESIDENCE TIMES IN CONVENTIONAL CONTINUOUS KRAFT COOKING." IFAC Proceedings Volumes 39, no. 14 (2006): 76–81. http://dx.doi.org/10.3182/20060830-2-sf-4903.00014.

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12

Yang, Zeying, Yalei Zhang, Yaping Wang, Ning Wang, Haina Cui, and Yongye Qu. "Conventional Bridge Damage Identification Based on BP Neural Network." IOP Conference Series: Materials Science and Engineering 730 (February 11, 2020): 012037. http://dx.doi.org/10.1088/1757-899x/730/1/012037.

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13

Caccavale, Fabrizio, and Pasquale Chiacchio. "Identification of Dynamic Parameters for a Conventional Industrial Manipulator." IFAC Proceedings Volumes 27, no. 8 (July 1994): 871–76. http://dx.doi.org/10.1016/s1474-6670(17)47819-0.

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14

Ibrahim, Hemmat, Mohamed Hassan, Reham Amin, Nesreen Eleiwa, and Samaa Nadim. "Conventional and modern identification techniques for identification of Salmonellae isolated from some meat products." Benha Veterinary Medical Journal 29, no. 2 (December 1, 2015): 262–67. http://dx.doi.org/10.21608/bvmj.2015.31732.

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15

Mohammed, Saman M., and Bahrouz M. A. Al-Jaff. "Prevalence of dermatophytosis among Suse federal prison inmates using conventional identification methods and PCR-RFLP typing." Journal of Zankoy Sulaimani - Part A 22, no. 1 (April 5, 2020): 273–86. http://dx.doi.org/10.17656/jzs.10792.

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16

Lazarus, Clifford N. "Conventional Diagnostic Nomenclature versus Multimodal Assessment." Psychological Reports 68, no. 3_suppl (June 1991): 1363–67. http://dx.doi.org/10.2466/pr0.1991.68.3c.1363.

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Standard psychiatric diagnoses (e.g., DSM-III—R) are compared with multimodal assessment and problem identification (i.e., BASIC I.D. formulations). Two case comparisons are presented as an heuristic to illustrate the way in which the multimodal framework promotes diagnostic precision and enhances clinical decision-making.

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17

Khojakhan, Yerganat, Kyoung-Min Choo, and Chung-Yuen Won. "Stator Inductance Identification Based on Low-Speed Tests for Three-Level NPC Inverter-Fed Induction Motor Drives." Electronics 9, no. 1 (January 18, 2020): 183. http://dx.doi.org/10.3390/electronics9010183.

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This paper proposes a stator inductance identification process for three-level neutral point clamped (NPC), inverter-fed Induction Motor (IM) drives based on a low-speed test drive. Conventionally, the stator inductance of an IM is identified by methods based on standstill or rotational tests. Since conventional standstill test-based methods have several practical problems when used with three-level inverters because of their nonlinearity, an identification method based on rotational tests is superior in such applications. However, conventional rotational tests cause unintended behavior because of the high speeds used during the test. In the proposed stator inductance identification process, the stator inductance is identified based on a low-speed test drive. In the proposed method, the stator flux is estimated using the instantaneous reactive power of the IM during low-frequency sinusoidal current excitation, and the stator inductance is then identified based upon this. Therefore, the proposed identification process is safer than conventional approaches, as it uses only a low-speed test. The accuracy and reliability of this method are verified by simulation and experiment using three motors with different rated voltage and power.

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18

Grasmick, A. E., and D. A. Bruckner. "Comparison of rapid identification method and conventional substrates for identification of Corynebacterium group JK isolates." Journal of Clinical Microbiology 25, no. 6 (1987): 1111–12. http://dx.doi.org/10.1128/jcm.25.6.1111-1112.1987.

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19

Tauran, Patricia M., Irda Handayani, and Nurhayana Sennang. "IDENTIFIKASI BAKTERI AEROB GRAM NEGATIF DAN GRAM POSITIF MENGGUNAKAN METODE KONVENSIONAL DAN OTOMATIK." INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 19, no. 2 (March 21, 2018): 105. http://dx.doi.org/10.24293/ijcpml.v19i2.1065.

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Choosing the method of bacteria identification is crucial to obtain accurate and quick results. This study will analyze the identificationresults of Gram negative and Gram positive from aerobic bacteria by examination using conventional and automatic methods at Dr.Wahidin Sudirohusodo Hospital Laboratory. A total of 85 samples consisting of 66 Gram negative bacteria and 19 Gram positive bacteriawere identified using conventional and automated methods. In this study, there was some correspondent identification result betweenthe conventional as well as the automated methods, namely 31.5% for Gram negative bacteria and 30.8% for Gram positive bacteria.However, the non-correspondent identification result between conventional and automated methods was found greater, namely, 68.5%for Gram negative bacteria and 69.2% for Gram positive bacteria. The non-correspondent identification result was due to the developmentof bacterial taxonomy and the differences of numbers and types of the biochemical tests between conventional and automatic methods.Bacteria identification using automated method is more accurate and faster than the conventional method, so it is recommended usingthis particularly for the laboratory and educational referral center.

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20

Triest, David, Dirk Stubbe, Koen De Cremer, Denis Piérard, Anne-Cécile Normand, Renaud Piarroux, Monique Detandt, and Marijke Hendrickx. "Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identification of Molds of the Fusarium Genus." Journal of Clinical Microbiology 53, no. 2 (November 19, 2014): 465–76. http://dx.doi.org/10.1128/jcm.02213-14.

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The rates of infection withFusariummolds are increasing, and a diverse number ofFusariumspp. belonging to different species complexes can cause infection. Conventional species identification in the clinical laboratory is time-consuming and prone to errors. We therefore evaluated whether matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) is a useful alternative. The 289Fusariumstrains from the Belgian Coordinated Collections of Microorganisms (BCCM)/Institute of Hygiene and Epidemiology Mycology (IHEM) culture collection with validated sequence-based identities and comprising 40 species were used in this study. An identification strategy was developed, applying a standardized MALDI-TOF MS assay and an in-house reference spectrum database.In vitroantifungal testing was performed to assess important differences in susceptibility between clinically relevant species/species complexes. We observed that no incorrect species complex identifications were made by MALDI-TOF MS, and 82.8% of the identifications were correct to the species level. This success rate was increased to 91% by lowering the cutoff for identification. Although the identification of the correct species complex member was not always guaranteed, antifungal susceptibility testing showed that discriminating betweenFusariumspecies complexes can be important for treatment but is not necessarily required between members of a species complex. With this perspective, someFusariumspecies complexes with closely related members can be considered as a whole, increasing the success rate of correct identifications to 97%. The application of our user-friendly MALDI-TOF MS identification approach resulted in a dramatic improvement in both time and accuracy compared to identification with the conventional method. A proof of principle of our MALDI-TOF MS approach in the clinical setting using recently isolatedFusariumstrains demonstrated its validity.

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Duggal, Shalini, Rajni Gaind, Neha Tandon, Manorama Deb, and Tulsi Das Chugh. "Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing." ISRN Microbiology 2012 (September 16, 2012): 1–4. http://dx.doi.org/10.5402/2012/107203.

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The present study was designed to compare a fully automated identification/antibiotic susceptibility testing (AST) system BD Phoenix (BD) for its efficacy in rapid and accurate identification and AST with conventional manual methods and to determine if the errors reported in AST, such as the (very major errors) VME (false susceptibility), (major errors) ME (false resistance), and (minor errors) MiE (intermediate category interpretation) were within the range certified by FDA. Identification and antimicrobial susceptibility test results of eighty-five clinical isolates including both gram-positive and negative were compared on Phoenix considering the results obtained from conventional manual methods of identification and disc diffusion testing of antibiotics as standards for comparison. Phoenix performed favorably well. There was 100% concordance in identification for gram-negative isolates and 94.83% for gram-positive isolates. In seven cases, Phoenix proved better than conventional identification. For antibiotic results, categorical agreement was 98.02% for gram-positive and 95.7% for gram-negative isolates. VME was 0.33%, ME 0.66%, MiE 0.99% for gram-positive isolates and 1.23% VME, 1.23% ME, and 1.85% MiE for gram-negative isolates. Therefore, this automated system can be used as a tool to facilitate early identification and susceptibility pattern of aerobic bacteria in routine microbiology laboratories.

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Rastogi, Vani, and Rajesh Pandey. "Candidate Identification in Remote/Conventional E- Voting using Iris Detection." International Journal of Computer Applications 181, no. 13 (August 20, 2018): 13–14. http://dx.doi.org/10.5120/ijca2018917640.

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23

Salim Naseif Alzubaidy, Tiba, Abdulameer Jasim Mohammed, and Ali Abbas Hasan Al-Gburi. "Comparison of Two Conventional Methods for Identification of Dermatophyte Fungi." Ibn AL- Haitham Journal For Pure and Applied Science 31, no. 2 (September 12, 2018): 21. http://dx.doi.org/10.30526/31.2.1958.

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The current study is the identification and isolation dermatophyte species in clinical isolates by both Sabouraud’s Dextrose Agar (SDA) and on Dermatophyte Test Medium (DTM). Clinical specimens of hair, nails and skin scales were collected from patients with dermatophytosis and submitted to direct microscopic examination after immersion in 20% of potassium hydroxide solution. The clinical specimens were cultured on SDA containing chloramphenicol and cycloheximide, and on DTM. Tinea corporis showed the highest prevalent dermatophyte infection among patients (26.7%), followed by Tinea pedis (23.3%), whereas Tinea manuum exhibited the lowest fungal infection (6.7 %). Rural areas revealed the highest prevalence of dermatophyte infection (70.0 %) in comparison to 30.0% in urban areas. Based on the conventional laboratory methods, 30 clinical isolates of dermatophytes showed positive cultures which belong to three genera (Trichophyton, Microsporum and Epidermophyton). Trichophyton mentagrophytes was the most common species (21.7%) isolated among 30 positive dermatophytes, followed by Epidermophyton flocosum (17.4%), then Trichophyton bullosum and Trichophyton tonsurans (13.0%).

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24

Mutkule, Amit. "Comparative Study of Radio Frequency Identification Technique with Conventional Technique." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 255–59. http://dx.doi.org/10.22214/ijraset.2019.6045.

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25

Falk, Gary W. "Is Conventional Endoscopic Identification of Non-Erosive Reflux Disease Adequate?" Digestion 78, no. 1 (2008): 17–23. http://dx.doi.org/10.1159/000151251.

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Marriaga-Márquez, I. A., K. Y. Gómez-Sandoval, J. W. Grimaldo-Guerrero, and JR Nuñez-Álvarez. "Identification of critical variables in conventional transformers in distribution networks." IOP Conference Series: Materials Science and Engineering 844 (June 30, 2020): 012009. http://dx.doi.org/10.1088/1757-899x/844/1/012009.

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27

Chen, Weijia, David HolcDorf, Mark W. McCusker, Frank Gaillard, and Piers D. L. Howe. "Perceptual training to improve hip fracture identification in conventional radiographs." PLOS ONE 12, no. 12 (December 21, 2017): e0189192. http://dx.doi.org/10.1371/journal.pone.0189192.

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Wang, Junguo, Xia Chen, Wenjun Liu, Mei Yang, Airidengcaicike, and Heping Zhang. "Identification of Lactobacillus from koumiss by conventional and molecular methods." European Food Research and Technology 227, no. 5 (May 14, 2008): 1555–61. http://dx.doi.org/10.1007/s00217-008-0880-4.

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29

Qadri, S. M. Hussain, D. J. Flournoy, S. G. M. Qadri, and E. G. Ramirez. "Rapid identification of yeasts by semi-automated and conventional methods." Medical Microbiology and Immunology 175, no. 5 (August 1986): 307–16. http://dx.doi.org/10.1007/bf02126052.

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30

Gan, Qiang, Dejun Li, Guozhen Liu, and Lihuang Zhu. "Identification of Potential Antisense Transcripts in Rice Using Conventional Microarray." Molecular Biotechnology 51, no. 1 (July 18, 2011): 37–43. http://dx.doi.org/10.1007/s12033-011-9438-y.

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Zasada, Aleksandra A. "Detection and Identification of Bacillus anthracis: From Conventional to Molecular Microbiology Methods." Microorganisms 8, no. 1 (January 16, 2020): 125. http://dx.doi.org/10.3390/microorganisms8010125.

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Rapid and reliable identification of Bacillus anthracis is of great importance, especially in the event of suspected deliberate release of anthrax spores. However, the identification of B. anthracis is challenging due to its high similarity to closely related species. Since Amerithrax in 2001, a lot of effort has been made to develop rapid methods for detection and identification of this microorganism with special focus on easy-to-perform rapid tests for first-line responders. This article presents an overview of the evolution of B. anthracis identification methods from the time of the first description of the microorganism until the present day.

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O'Hara, Caroline Mohr, and J. Michael Miller. "Evaluation of the MicroScan Rapid Neg ID3 Panel for Identification of Enterobacteriaceae and Some Common Gram-Negative Nonfermenters." Journal of Clinical Microbiology 38, no. 10 (2000): 3577–80. http://dx.doi.org/10.1128/jcm.38.10.3577-3580.2000.

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The MicroScan Rapid Neg ID3 panel (Dade Behring, Inc., West Sacramento, Calif.) is designed for the identification of gram-negative bacilli. We evaluated its ability to accurately identifyEnterobacteriaceae that are routinely encountered in a clinical laboratory and glucose nonfermenting gram-negative bacilli. Using 511 stock cultures that were maintained at −70°C and passaged three times before use, we inoculated panels according to the manufacturer's instructions and processed them in a Walk/Away instrument using version 22.01 software. The time to identification was 2 h and 30 min. All panel identifications were compared to reference identifications previously determined by conventional tube biochemicals. At the end of the initial 2.5-h incubation period, 405 (79.3%) identifications were correct. An additional 49 (9.6%) isolates were correctly identified after required additional off-line biochemical tests were performed. Thus, at 24 h, 88.8% of the 511 strains tested were correctly identified. Twenty-two (4.3%) were identified to the genus level only. Twenty-six (5.1%) strains were misidentified. Because the system is based on fluorogenics, there are no conventional tests readily available with which to compare possibly incorrect reactions. Of the 28 Salmonella strains that were tested, 5 were incorrectly reported. The 21 remaining errors were scattered among the genera tested. Testing on nine strains gave a result of “no identification” (very rare biotype). The Rapid Neg ID3 panel in this study approached 89% accuracy for the identification of gram-negative organisms encountered in the hospital laboratory.

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Jesumirhewe, Christiana, Peter Oladejo Ogunlowo, Mitsan Olley, Burkhard Springer, Franz Allerberger, and Werner Ruppitsch. "Accuracy of conventional identification methods used for Enterobacteriaceae isolates in three Nigerian hospitals." PeerJ 4 (September 28, 2016): e2511. http://dx.doi.org/10.7717/peerj.2511.

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BackgroundEnterobacteriaceae are ubiquitously present in nature and can be found in the intestinal tract of humans and animals as commensal flora. Multidrug-resistant Enterobacteriaceae are increasingly reported and are a threat to public health implicating a need for accurate identification of the isolates to species level. In developing countries, identification of bacteria basically depends on conventional methods: culture and phenotypic methods that hamper the accurate identification of bacteria. In this study, matrix-assisted desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) technique was compared to conventional identification techniques.Materials and MethodsIn total, 147 Enterobacteriaceae isolates were collected from March to May 2015 from three medical microbiology laboratories of hospitals in Edo state, Nigeria, after being tested according to the individual laboratories standard operating procedures. All isolates were stored at −20°C until tested centrally by MALDI-TOF MS.ResultsOne hundred and forty five (98.6%) isolates had a MALDI Biotyper best score > or =2.0, indicating a secure genus and probable species identification; and 2(1.36%) isolates had a best score <2.0 indicating probable genus identification. Isolates with best scores of > or =2.0 comprised nine genera and 10 species, respectively. A total of 57.2% and 33.1% of isolates identified had agreement between MALDI-TOF MS and conventional techniques for identification at genus and species level, respectively, when analyzing bacteria with MALDI Biotyper best scores > or =2.0.ConclusionThe results of our study show that the applied conventional identification techniques for Enterobacteriaceae in the investigated Nigerian hospitals are not very accurate. Use of state-of-the-art identification technologies for microorganisms is necessary to guarantee comparability of bacteriological results.

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Zhong, Jihong. "Rhetorical Interpretation of Abstracts in Sci-Tech Theses Based on Burke’s Identification Theory." English Language Teaching 10, no. 5 (April 11, 2017): 68. http://dx.doi.org/10.5539/elt.v10n5p68.

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Abstract of a thesis is the brief and accurate representation of the thesis, with the important function of persuading readers to read on the thesis. So how the writer constructs the abstract and wins readers’ recognition is our main focus. On the basis of Burke’s Identification Theory, this paper analyzed 10 abstracts from Nature from content and form perspective respectively. The results show that identifications by sympathy, by antithesis and by inaccuracy are three main content identification strategies and conventional form is the main form identification strategy, which combine together to improve the objectivity and persuasion of abstracts.

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Tang, Yi-Wei, Alexander Von Graevenitz, Michael G. Waddington, Marlene K. Hopkins, Douglas H. Smith, Haijing Li, Christopher P. Kolbert, Stacy O. Montgomery, and David H. Persing. "Identification of Coryneform Bacterial Isolates by Ribosomal DNA Sequence Analysis." Journal of Clinical Microbiology 38, no. 4 (2000): 1676–78. http://dx.doi.org/10.1128/jcm.38.4.1676-1678.2000.

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Identification of coryneform bacteria to the species level is important in certain circumstances for differentiating contamination and/or colonization from infection, which influences decisions regarding clinical intervention. However, methods currently used in clinical microbiology laboratories for the species identification of coryneform bacteria are often inadequate. We evaluated the MicroSeq 500 16S bacterial sequencing kit (Perkin-Elmer Biosystems, Foster City, Calif.), which is designed to sequence the first 527 bp of the 16S rRNA gene for bacterial identification, by using 52 coryneform gram-positive bacilli from clinical specimens isolated from January through June 1993 at the Mayo Clinic. Compared to conventional and supplemented phenotypic methods, MicroSeq provided concordant results for identification to the genus level for all isolates. At the species level, MicroSeq provided concordant results for 27 of 42 (64.3%)Corynebacterium isolates and 5 of 6 (83.3%)Corynebacterium-related isolates, respectively. Within theCorynebacterium genus, MicroSeq gave identical species-level identifications for the clinically significantCorynebacterium diphtheriae (4 of 4) andCorynebacterium jeikeium (8 of 8), but it identified only 50.0% (15 of 30) of other species (P < 0.01). Four isolates from the genera Arthrobacter,Brevibacterium, and Microbacterium, which could not be identified to the species level by conventional methods, were assigned a species-level identification by MicroSeq. The total elapsed time for running a MicroSeq identification was 15.5 to 18.5 h. These data demonstrate that the MicroSeq 500 16S bacterial sequencing kit provides a potentially powerful method for the definitive identification of clinical coryneform bacterium isolates.

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Saha, Mihir Lal, Tahsin Khan, Md Mostafa Kamal, and Mohammad Nurul Islam. "Proteolytic Bacillus spp. associated with tannery industries: Conventional and molecular identification." Bangladesh Journal of Botany 44, no. 4 (October 21, 2018): 557–64. http://dx.doi.org/10.3329/bjb.v44i4.38570.

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Samples collected from different stages of the tannery industry were found to be alkaline (pH 7.52 to 12.11). A good number of bacteria were found to be associated with the samples. The bacterial count ranged in between 1.34×105 to 3.44×105 cfu/ml and 1.04×105 to 6×105 cfu/ml on nutrient agar (NA) and peptone yeast extract glucose agar (PYG) medium, respectively. The maximum bacterial count was observed in bating stage while the minimum count was in the deliming stage. Primarily, 70 isolates were selected based on their different colonial morphology. After heat shock test 27 isolates were finally selected for identification and proteolytic potential. All the selected isolates were the members of different species of the genus Bacillus. The conventionally identified species were B. stearothermophilus (9), B. subtilis (4), B. brevis (3), B. pumilus (3), B. alcalophilus (2), B. badius (2), B. firmus (2) and B. lentus (2). Four important proteolytic isolates of Bacillus were selected for molecular identification. The isolates were confirmed as Bacillus subtilis strain B20 (L/P/2/1), B. subtilis strain PB18 (D/P/3/1), Bacillus sp. strain BVC38 (D/P/3′/2) and B. amyloliqefaciens strain Egy25 (B/N/3′/1). Except B/N/3′/1 all the conventional identification was in accordance with the molecular identification as the isolate B/N/3′/1 was conventionally identified as B. pumilus (B/N/3′/1). All the isolates showed positive proteolytic activities on skim milk agar and the zone ratio was in between 2.61 ± 0.44 and 6.42 ± 0.95. These isolates could be commercially utilized in the tannery and detergent industries for their proteolytic activity.

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SKIMS, Editor. "MALDI-TOF mass spectrometry in clinical diagnostic microbiology." JMS SKIMS 20, no. 1 (June 16, 2017): 54. http://dx.doi.org/10.33883/jms.v20i1.315.

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Microbial identification in clinical diagnostic laboratories mainly relies on conventional phenotypic and gene sequencing identification techniques. Recently development of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) devices has revolutionized the routine identification of microorganisms in clinical microbiology laboratories. This is an easy, rapid, high throughput, low-cost, and efficient identification technique and has been adapted to the constraint of clinical diagnostic laboratories. This technology has the potential to replace and/or complement conventional identification techniques for both bacterial and fungal strains. JMS 2017; 20(1):54

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Kulkarni, Sughosh S., Radhika Madalgi, Ganavalli S. Ajantha, and Raghavendra D. Kulkarni. "Identification of genus Acinetobacter : Standardization of in-house PCR and its comparison with conventional phenotypic methods." Journal of Laboratory Physicians 9, no. 04 (October 2017): 279–82. http://dx.doi.org/10.4103/0974-2727.214263.

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Abstract CONTEXT: Acinetobacter is grouped under nonfermenting Gram-negative bacilli. It is increasingly isolated from pathological samples. The ability of this genus to acquire drug resistance and spread in the hospital settings is posing a grave problem in healthcare. Specific treatment protocols are advocated for Acinetobacter infections. Hence, rapid identification and drug susceptibility profiling are critical in the management of these infections. AIMS: To standardize an in-house polymerase chain reaction (PCR) for identification of genus Acinetobacter and to compare PCR with two protocols for its phenotypic identification. METHODOLOGY: A total of 96 clinical isolates of Acinetobacter were included in the study. An in-house PCR for genus level identification of Acinetobacter was standardized. All the isolates were phenotypically identified by two protocols. The results of PCR and phenotypic identification protocols were compared. RESULTS: The in-house PCR standardized was highly sensitive and specific for the genus Acinetobacter. There was 100% agreement between the phenotypic and molecular identification of the genus. The preliminary identification tests routinely used in clinical laboratories were also in complete agreement with phenotypic and molecular identification. CONCLUSION: The in-house PCR for genus level identification is specific and sensitive. However, it may not be essential for routine identification as the preliminary phenotypic identification tests used in the clinical laboratory reliably identify the genus Acinetobacter.

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Ibtissem Ben Salem, Nadia El Abed, Mohamed Ben Khedher Mahmoud M’Hamdi, and Naima Boughalleb M Hamdi. "Isolation and Identification of Fungal Communities in Organic and Conventional Soils." International Journal of Current Microbiology and Applied Sciences 6, no. 4 (April 10, 2017): 1111–23. http://dx.doi.org/10.20546/ijcmas.2017.604.138.

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Lin, Chenhao, and Ajay Kumar. "Matching Contactless and Contact-Based Conventional Fingerprint Images for Biometrics Identification." IEEE Transactions on Image Processing 27, no. 4 (April 2018): 2008–21. http://dx.doi.org/10.1109/tip.2017.2788866.

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Vosburgh, Kirby G., Nicholas Stylopoulos, Raul San Jose Estepar, Randy E. Ellis, Eigil Samset, and Christopher C. Thompson. "EUS with CT improves efficiency and structure identification over conventional EUS." Gastrointestinal Endoscopy 65, no. 6 (May 2007): 866–70. http://dx.doi.org/10.1016/j.gie.2006.09.021.

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Caccavale, Fabrizio, and Pasquale Chiacchio. "Energy-based identification of dynamic parameters for a conventional industrial manipulator." IFAC Proceedings Volumes 27, no. 14 (September 1994): 619–24. http://dx.doi.org/10.1016/s1474-6670(17)47375-7.

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El-Awar, N., J. Lee, and P. I. Terasaki. "HLA Antibody Identification With Single Antigen Beads Compared To Conventional Methods." Human Immunology 66, no. 9 (September 2005): 989–97. http://dx.doi.org/10.1016/j.humimm.2005.07.005.

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El-Awar, Nadim R., Jar-How Lee, and Paul I. Terasaki. "HLA antibody identification with single antigen beads compared to conventional methods." Human Immunology 66, no. 8 (August 2005): 9. http://dx.doi.org/10.1016/j.humimm.2005.08.012.

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Andersen, Lis, and Ann Wenzel. "Individual identification by means of conventional bitewing film and subtraction radiography." Forensic Science International 72, no. 1 (March 1995): 55–64. http://dx.doi.org/10.1016/0379-0738(94)01676-v.

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Abdel-Rahman, M., M. S. Azab, M. Meibed, A. El-Kholy, and A. W. Elmetwalli. "Assessment of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF- MS) for Accurate Bacterial Identification in Clinical Labs." American Journal of Clinical Pathology 154, Supplement_1 (October 2020): S143. http://dx.doi.org/10.1093/ajcp/aqaa161.313.

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Abstract Introduction/Objective On behalf of the diagnostic Medical Laboratory rapid, and accurate identification of bacteria with their one-to-one anti-microbial susceptibility outlines is of ultimate importance for the management of infected patients. Contemporary microbial identification methods employed in routine clinical diagnostic laboratories relies on the use of conventional phenotypic methods. Phenotypic methods are time consuming with minimum turn-around times of at least 24 hrs and in many occurrences of 48hrs. With the intention of accelerate laboratory processes the MALDI-TOF MS was familiarized. MALDI-TOF MS is established on proteomic profiling and permits for rapid identification of bacteria. This technology has not been widely used in Egypt, but has been regularly used in Europe for the past few years. Methods Two hundred forty three positive non duplicate blood cultures were accrued over a period of six months. Experimental aliquots were taken from excess sample material that was collected as part of routine clinical care. 105 were positive for Gram negative bacilli, 123 were positive for Gram positive cocci, 3 positive for Gram positive bacilli, and 7 were positive for yeast. MALDI-TOF identification was compared to conventional identification. Conventional identification consisted of a combination of MALDI-TOF identification of a subcultures colony by direct smear, biochemical reactions, Vitek 2, and molecular identification. Results Ninety seven of the one hundred and five blood cultures positive for Gram negative bacilli were monomicrobial. The majority of these were identified as Escherichia coli by conventional methods, followed by Klebsiella pneumoniae and Pseudomonas aeruginosa. Eighty-four of these monomicrobial cultures were identified by MALDI-TOF to the species level. Eighty-one of the eighty-four were concordant with the conventional identification (96.4%). Conclusion The MALDI-TOF proved to be useful for the rapid and reliable identification of g-ve bacteria from the clinical specimens. The difference in turnaround time for bacterial identification was significant between MALDI-TOF MS and VITEK 2 with minimal preparation for the blood cultures.

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Liu, Xiao Feng, and Xiu Lian Lu. "Modal Parameters Identification of Transmission Tower Based on Improved Stochastic Subspace Identification." Applied Mechanics and Materials 229-231 (November 2012): 1072–76. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1072.

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In the condition of environmental excitation and the modal parameters can be identified to only use response data. Based on the improved stochastic subspace identification method, can avoid the fitting error from asynchronous samples, which can integrate asynchronous multi-groups response samples into synchronous pulsing response data, Finally, the identification results of different system order number was utilized to construct stable map to acquire more accurate identification and avoid lost root or duplicate root than the conventional method.

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Basu, Aniruddha. "Post Boost Track Processing Using Conventional DBMS Software." Defence Science Journal 66, no. 2 (March 23, 2016): 130. http://dx.doi.org/10.14429/dsj.66.9244.

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<p>The design of air defence, traditional command control system is very challenging which has been used with basic methodologies. Traditional design is associated with unstructured and uncorrelated data and requires huge lines of code using hard disk drive (HDD) in the system. Hence an attempt was made for a better simplified database management system (DBMS) software data access methodology, which processed the incoming airborne data, message in RDBMS database to achieve full automation on real-time. The transaction is accomplished through SQL pass through method from the host decision making system into database. An algorithm of track identification during midcourse track separation was undertaken for prototype development on DBMS data access methodology. In this methodology Oracle C++ calls interface embedded query call was used from the host interface system. The purpose of this development was to find a comparison of online process timing between HDD and SSD using commercial database, and to evaluate performance of dynamic processing of RDBMS Database for identification of target vehicle and booster after separation. Produced experimentation results from improved performance of the proposed methodology on which futuristic command control system can rely.</p><p> </p>

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Palladino, S., B. J. Leahy, and T. L. Newall. "Comparison of the RIM-H rapid identification kit with conventional tests for the identification of Haemophilus spp." Journal of Clinical Microbiology 28, no. 8 (1990): 1862–63. http://dx.doi.org/10.1128/jcm.28.8.1862-1863.1990.

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Yang, Tian, Su Hu, Weiwei Wu, Lixin Niu, Di Lin, and Jiabei Song. "Conventional Neural Network-Based Radio Frequency Fingerprint Identification Using Raw I/Q Data." Wireless Communications and Mobile Computing 2022 (August 22, 2022): 1–8. http://dx.doi.org/10.1155/2022/8681599.

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Radio frequency (RF) fingerprint identification is a nonpassword authentication method based on the physical layer of communication devices. Deep learning methods have thrown new light on RF fingerprint identification. In this paper, a conventional neural network- (CNN-) based RF identification model is proposed. The CNN models are designed to be lightweight. Raw data that reflects the characteristics of the I channel, the Q channel, and the 2-dimensional I + Q data is successively fed into a CNN model. Therefore, three submodels are generated. The final predictive labels are determined by the results of the three submodels through a voting scheme. Experimental results have demonstrated that in the SNR setting at 5 dB, the final recognition accuracy of four transmit devices could achieve as high as 97.25%, while the identification accuracies based on the I channel data, Q channel data, and I + Q channel data are 94.5%, 95%, and 94.5%, respectively. The training time for the 4 devices is around 30 seconds.

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