Littérature scientifique sur le sujet « TAXONOMIC SENSITIVITY »
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Articles de revues sur le sujet "TAXONOMIC SENSITIVITY"
Poe, Steven. « Sensitivity of Phylogeny Estimation to Taxonomic Sampling ». Systematic Biology 47, no 1 (1 mars 1998) : 18–31. http://dx.doi.org/10.1080/106351598261003.
Texte intégralRobinson, M., M. Gouy, C. Gautier et D. Mouchiroud. « Sensitivity of the relative-rate test to taxonomic sampling ». Molecular Biology and Evolution 15, no 9 (1 septembre 1998) : 1091–98. http://dx.doi.org/10.1093/oxfordjournals.molbev.a026016.
Texte intégralRock, J., F. O. Costa, D. I. Walker, A. W. North, W. F. Hutchinson et G. R. Carvalho. « DNA barcodes of fish of the Scotia Sea, Antarctica indicate priority groups for taxonomic and systematics focus ». Antarctic Science 20, no 3 (19 mai 2008) : 253–62. http://dx.doi.org/10.1017/s0954102008001120.
Texte intégralPacheco-Labrador, J., U. Weber, X. Ma, M. D. Mahecha, N. Carvalhais, C. Wirth, A. Huth et al. « EVALUATING THE POTENTIAL OF DESIS TO INFER PLANT TAXONOMICAL AND FUNCTIONAL DIVERSITIES IN EUROPEAN FORESTS ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-1/W1-2021 (11 février 2022) : 49–55. http://dx.doi.org/10.5194/isprs-archives-xlvi-1-w1-2021-49-2022.
Texte intégralParra-Hernández, Ronald M., Jorge I. Posada-Quintero, Orlando Acevedo-Charry et Hugo F. Posada-Quintero. « Uniform Manifold Approximation and Projection for Clustering Taxa through Vocalizations in a Neotropical Passerine (Rough-Legged Tyrannulet, Phyllomyias burmeisteri) ». Animals 10, no 8 (12 août 2020) : 1406. http://dx.doi.org/10.3390/ani10081406.
Texte intégralGolubev, W. I. « Taxonomic specificity of the sensitivity to the Wickerhamomyces bovis fungistatic mycocin ». Microbiology 85, no 4 (juillet 2016) : 444–48. http://dx.doi.org/10.1134/s0026261716040081.
Texte intégralWeging, Silvio, Andreas Gogol-Döring et Ivo Grosse. « Taxonomic analysis of metagenomic data with kASA ». Nucleic Acids Research 49, no 12 (30 mars 2021) : e68-e68. http://dx.doi.org/10.1093/nar/gkab200.
Texte intégralKyselková, M., J. Kopecký, M. Ságová-Marečková, G. L. Grundmann et Y. Moënne-Loccoz. « Oligonucleotide microarray methodology for taxonomic and functional monitoringof microbial community composition ». Plant, Soil and Environment 55, No. 9 (14 octobre 2009) : 379–88. http://dx.doi.org/10.17221/140/2009-pse.
Texte intégralChessman, Bruce C. « New sensitivity grades for Australian river macroinvertebrates ». Marine and Freshwater Research 54, no 2 (2003) : 95. http://dx.doi.org/10.1071/mf02114.
Texte intégralHutchison, Leonard J. « Studies on the systematics of ectomycorrhizal fungi in axenic culture. V. Linear growth response to standard extreme temperatures used as a taxonomic character ». Canadian Journal of Botany 68, no 10 (1 octobre 1990) : 2179–84. http://dx.doi.org/10.1139/b90-284.
Texte intégralThèses sur le sujet "TAXONOMIC SENSITIVITY"
« A Taxonomic and epidemiological study on Mycobacteria ». Chinese University of Hong Kong, 1992. http://library.cuhk.edu.hk/record=b5887056.
Texte intégralThesis (M.Phil.)--Chinese University of Hong Kong, 1992.
Includes bibliographical references (leaves 70-87).
ABSTRACT --- p.i
ACKNOWLEDGEMENT --- p.iv
TABLE OF CONTENTS --- p.v
LIST OF TABLES --- p.ix
LIST OF FIGURES --- p.xiii
INTRODUCTION --- p.1
LITERATURE REVIEW --- p.3
Chapter I. --- Mycobacterial Infections --- p.3
Chapter A. --- Mycobacterium tuberculosis --- p.3
Chapter B. --- Atypical mycobacteria --- p.3
Chapter II. --- Identification of Mycobacteria --- p.5
Chapter A. --- Conventional methods --- p.6
Chapter 1. --- Mycobacterium tuberculosis --- p.6
Chapter 2. --- Atypical mycobacteria --- p.7
Chapter B. --- Rapid identification methods --- p.8
Chapter 1. --- Identification by fatty acid analysis --- p.8
Chapter 2. --- Identification by mycolic acid analysis --- p.9
Chapter III. --- In vitro Susceptibility Testing of Mycobacteria --- p.11
Chapter A. --- Mycobacterium tuberculosis --- p.11
Chapter 1. --- Principle --- p.12
Chapter 2. --- Methods of susceptibility testing --- p.13
Chapter a. --- The absolute concentration method --- p.13
Chapter b. --- The resistance ratio method --- p.15
Chapter c. --- The 1% proportion method --- p.16
Chapter d. --- Radiometric method --- p.18
Chapter e. --- Other methods --- p.19
Chapter B. --- Atypical mycobacteria --- p.20
Chapter IV. --- Plasmid Analysis in Mycobacteria --- p.22
Chapter A. --- Discovery of plasmids in mycobacteria --- p.22
Chapter B. --- Methodologies in the studies of mycobacterial plasmids --- p.23
Chapter C. --- Possible roles of plasmid in epidemiology of mycobacteria --- p.24
MATERIALS AND METHODS --- p.26
Chapter I. --- Bacterial Strains and Strain Maintenance --- p.26
Chapter A. --- Strains collection --- p.26
Chapter B. --- Strains maintenance --- p.26
Chapter II. --- Culture Media and Culture Conditions --- p.26
Chapter III. --- Identification of Mycobacteria --- p.26
Chapter A. --- Conventional methods --- p.26
Chapter B. --- Fatty acid profile analysis --- p.27
Chapter 1. --- Bacterial isolates --- p.27
Chapter 2. --- Standards and reagents --- p.27
Chapter 3. --- Preparation of methyl ester for GC/GC-MS --- p.28
Chapter 4. --- Instrumentation --- p.28
Chapter a. --- Gas chromatography-mass spectrometry (GC-MS) --- p.28
Chapter b. --- Gas liquid chromatography (GLC) --- p.28
Chapter 5. --- Fatty acid profile analysis --- p.29
Chapter a. --- Calibration --- p.30
Chapter b. --- Identification of mycobacterial fatty acids --- p.30
Chapter c. --- Construction of mycobacterial fatty acid profiles --- p.30
Chapter 6. --- Discriminant analysis --- p.31
Chapter IV. --- In Vitro Drug Susceptibility Test --- p.31
Chapter A. --- Test strains --- p.31
Chapter B. --- Preparation of drug-containing media --- p.32
Chapter C. --- Minmum inhibition concentration (MIC) determination --- p.32
Chapter V. --- Heavy Metal Tolerance Test --- p.33
Chapter A. --- Bacterial strains --- p.33
Chapter B. --- Reagent and media preparation --- p.34
Chapter 1. --- Heavy metal stock solution preparation --- p.34
Chapter 2. --- Media preparation --- p.34
Chapter C. --- Minimum inhibition concentration (MIC) determination --- p.34
Chapter VI. --- Plasmid Analysis of Mycobacteria --- p.35
Chapter A. --- Bacterial strains --- p.35
Chapter B. --- Extraction procedures --- p.35
Chapter 1. --- Modified Kado & Liu method --- p.35
Chapter 2. --- French press procedure --- p.36
Chapter 3. --- Spheroplasts preparation procedure --- p.37
Chapter C. --- Electrophoresis procedure --- p.37
Chapter D. --- Statistical analysis for correlation between plasmid and drug resistance or heavy metal tolerance --- p.38
RESULTS --- p.39
Chapter I. --- Identification of Mycobacteria --- p.39
Chapter A. --- General characteristics of the chromatographic profile --- p.39
Chapter B. --- Discriminant analysis --- p.40
Chapter 1. --- Gas chromatography-mass spectrometry (GC-MS) --- p.40
Chapter a. --- Slowly growing non-pigmented mycobacteria --- p.40
Chapter b. --- Rapidly growing mycobacter-ia --- p.41
Chapter c. --- Pigmented mycobacteria --- p.41
Chapter 2. --- Gas liquid chromatography (GLC) --- p.41
Chapter a. --- Slowly growing non-pigmented mycobacteria --- p.42
Chapter b. --- Rapidly growing mycobacteria --- p.42
Chapter c. --- Pigmented mycobacteria --- p.43
Chapter II. --- Vitro Drug Susceptibility Test --- p.43
Chapter A. --- Mycobacterium tuberculosis --- p.43
Chapter B. --- Atypical mycobacteria --- p.45
Chapter 1. --- General characteristics --- p.45
Chapter 2. --- Sensitivity pattern of different species --- p.46
Chapter a. --- Mycobacterium kansasii --- p.46
Chapter b. --- Mycobacterium avium- intracellulare complex --- p.46
Chapter c. --- Mycobacterium scrofulaceum --- p.47
Chapter d. --- Mycobacterium terrae complex --- p.47
Chapter e. --- Mycobacterium fortuitum --- p.47
Chapter f. --- Mycobacterium chelonae --- p.48
Chapter III. --- Heavy Metal Tolerance Test --- p.48
Chapter IV. --- Plasmid in Mycobacteria --- p.48
Chapter A. --- Mycobacterium tuberculosis --- p.48
Chapter B. --- Atypical mycobacteria --- p.49
Chapter 1. --- General characteristics --- p.49
Chapter 2. --- Correlation between drug resistance and plasmid --- p.50
Chapter 3. --- Correlation between heavy metal tolerance and plasmid --- p.50
DISCUSSION --- p.52
Chapter I. --- Identification of Mycobacteria --- p.52
Chapter II. --- In Vitro Drug Susceptibility Test --- p.56
Chapter A. --- Mycobacterium tuberculosis --- p.56
Chapter B. --- Atypical mycobacteria --- p.60
Chapter 1. --- Mycobacterium kansasii --- p.61
Chapter 2. --- Mycobacterium avium- intracellulare complex --- p.61
Chapter 3. --- Mycobacterium scrofulaceum --- p.62
Chapter 4. --- Mycobacterium terrae complex --- p.62
Chapter 5. --- Mycobacterium fortuitum --- p.63
Chapter 6. --- Mycobacterium chelonae --- p.64
Chapter III. --- Plasmid Analysis in Mycobacteria --- p.64
Chapter A. --- Mycobacterium tuberculosis --- p.64
Chapter B. --- Atypical mycobacteria --- p.66
SUMMARYS AND CONCLUSIONS --- p.68
LITERATURE CITED --- p.70
Chapter APPENDIX - --- Tables --- p.88
Figures --- p.144
GUBRELE, MONIKA. « TAXONOMIC SENSITIVITY AND PRECISION OF HYPERVARIABLE REGIONS IN BACTERIAL 16S rRNA GENES ». Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16968.
Texte intégralVan, der Stockt Stefan Aloysius Gert. « A generic neural network framework using design patterns ». Diss., 2008. http://hdl.handle.net/2263/27614.
Texte intégralDissertation (MSc)--University of Pretoria, 2008.
Computer Science
unrestricted
Livres sur le sujet "TAXONOMIC SENSITIVITY"
Buzan, Barry, et George Lawson. The English School : History and Primary Institutions as Empirical IR Theory ? Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.298.
Texte intégralChapitres de livres sur le sujet "TAXONOMIC SENSITIVITY"
Shoeib, Alia A., W. Zeller, M. K. Abo-El-Dahab et M. A. El-Goorani. « Taxonomic Studies on Erwinia Amylovora Isolates and their Sensitivity to Antibiotics ». Dans Plant Pathogenic Bacteria, 830–34. Dordrecht : Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3555-6_179.
Texte intégralFrost, Thomas M., Stephen R. Carpenter et Timothy K. Kratz. « Choosing Ecological Indicators : Effects of Taxonomic Aggregation on Sensitivity to Stress and Natural Variability ». Dans Ecological Indicators, 215–27. Boston, MA : Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4659-7_15.
Texte intégralŠigutová, Hana, Aleš Dolný, Michael J. Samways, Hardersen Sönke, Junior José Max Oliveira-, Leandro Juen, Khuong Van Dinh et Jason T. Bried. « Odonata as indicators of pollution, habitat quality, and landscape disturbance ». Dans Dragonflies and Damselflies, 371–84. 2e éd. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192898623.003.0026.
Texte intégral« Toward a Taxonomy of Interpersonal Sensitivity ». Dans Interpersonal Sensitivity, 17–34. Psychology Press, 2001. http://dx.doi.org/10.4324/9781410600424-8.
Texte intégralNavarro-Barranco, Carlos, Macarena Ros, José M. Tierno de Figueroa et José M. Guerra-García. « Marine Crustaceans as Bioindicators : Amphipods as Case Study ». Dans Fisheries and Aquaculture, 436–62. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190865627.003.0017.
Texte intégralAyadurai, Charmele, et Sina Joneidy. « Artificial Intelligence and Bank Soundness : A Done Deal ? - Part 1 ». Dans Operations Management - Emerging Trend in the Digital Era. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95539.
Texte intégralRemtulla, Karim A. « Redressing Socio-Cultural Insensitivity ». Dans Socio-Cultural Impacts of Workplace E-Learning, 66–85. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-835-7.ch004.
Texte intégralHussey, Heather D., Bethany K. B. Fleck et Aaron S. Richmond. « Promoting Active Learning through a Flipped Course Design ». Dans Promoting Active Learning through the Flipped Classroom Model, 23–46. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4987-3.ch002.
Texte intégralBoussada, Rihab, Mohamed Elhoucine Elhdhili, Balkis Hamdane et Leila Azouz Saidane. « Privacy Preserving in the Modern Era ». Dans Advances in Information Security, Privacy, and Ethics, 1–24. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5250-9.ch001.
Texte intégralAyadurai, Charmele, et Sina Joneidy. « Artificial Intelligence and Bank Soundness : Between the Devil and the Deep Blue Sea - Part 2 ». Dans Operations Management - Emerging Trend in the Digital Era. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95806.
Texte intégralActes de conférences sur le sujet "TAXONOMIC SENSITIVITY"
Kohonen, Teuvo. « Self-organized feature maps ». Dans OSA Annual Meeting. Washington, D.C. : Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.tum4.
Texte intégralLi, Yifang, Nishant Vishwamitra, Hongxin Hu et Kelly Caine. « Towards A Taxonomy of Content Sensitivity and Sharing Preferences for Photos ». Dans CHI '20 : CHI Conference on Human Factors in Computing Systems. New York, NY, USA : ACM, 2020. http://dx.doi.org/10.1145/3313831.3376498.
Texte intégralCoulombe, Charles, Jean-François Gamache, Olivier Barron, Gabriel Descôteaux, David Saussié et Sofiane Achiche. « Task Taxonomy for Autonomous Unmanned Aerial Manipulator : A Review ». Dans ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22297.
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