Literatura académica sobre el tema "TAXONOMIC SENSITIVITY"
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Artículos de revistas sobre el tema "TAXONOMIC SENSITIVITY"
Poe, Steven. "Sensitivity of Phylogeny Estimation to Taxonomic Sampling". Systematic Biology 47, n.º 1 (1 de marzo de 1998): 18–31. http://dx.doi.org/10.1080/106351598261003.
Texto completoRobinson, M., M. Gouy, C. Gautier y D. Mouchiroud. "Sensitivity of the relative-rate test to taxonomic sampling". Molecular Biology and Evolution 15, n.º 9 (1 de septiembre de 1998): 1091–98. http://dx.doi.org/10.1093/oxfordjournals.molbev.a026016.
Texto completoRock, J., F. O. Costa, D. I. Walker, A. W. North, W. F. Hutchinson y G. R. Carvalho. "DNA barcodes of fish of the Scotia Sea, Antarctica indicate priority groups for taxonomic and systematics focus". Antarctic Science 20, n.º 3 (19 de mayo de 2008): 253–62. http://dx.doi.org/10.1017/s0954102008001120.
Texto completoPacheco-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 de febrero de 2022): 49–55. http://dx.doi.org/10.5194/isprs-archives-xlvi-1-w1-2021-49-2022.
Texto completoParra-Hernández, Ronald M., Jorge I. Posada-Quintero, Orlando Acevedo-Charry y 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, n.º 8 (12 de agosto de 2020): 1406. http://dx.doi.org/10.3390/ani10081406.
Texto completoGolubev, W. I. "Taxonomic specificity of the sensitivity to the Wickerhamomyces bovis fungistatic mycocin". Microbiology 85, n.º 4 (julio de 2016): 444–48. http://dx.doi.org/10.1134/s0026261716040081.
Texto completoWeging, Silvio, Andreas Gogol-Döring y Ivo Grosse. "Taxonomic analysis of metagenomic data with kASA". Nucleic Acids Research 49, n.º 12 (30 de marzo de 2021): e68-e68. http://dx.doi.org/10.1093/nar/gkab200.
Texto completoKyselková, M., J. Kopecký, M. Ságová-Marečková, G. L. Grundmann y Y. Moënne-Loccoz. "Oligonucleotide microarray methodology for taxonomic and functional monitoringof microbial community composition". Plant, Soil and Environment 55, No. 9 (14 de octubre de 2009): 379–88. http://dx.doi.org/10.17221/140/2009-pse.
Texto completoChessman, Bruce C. "New sensitivity grades for Australian river macroinvertebrates". Marine and Freshwater Research 54, n.º 2 (2003): 95. http://dx.doi.org/10.1071/mf02114.
Texto completoHutchison, 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, n.º 10 (1 de octubre de 1990): 2179–84. http://dx.doi.org/10.1139/b90-284.
Texto completoTesis sobre el tema "TAXONOMIC SENSITIVITY"
"A Taxonomic and epidemiological study on Mycobacteria". Chinese University of Hong Kong, 1992. http://library.cuhk.edu.hk/record=b5887056.
Texto completoThesis (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.
Texto completoVan, der Stockt Stefan Aloysius Gert. "A generic neural network framework using design patterns". Diss., 2008. http://hdl.handle.net/2263/27614.
Texto completoDissertation (MSc)--University of Pretoria, 2008.
Computer Science
unrestricted
Libros sobre el tema "TAXONOMIC SENSITIVITY"
Buzan, Barry y 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.
Texto completoCapítulos de libros sobre el tema "TAXONOMIC SENSITIVITY"
Shoeib, Alia A., W. Zeller, M. K. Abo-El-Dahab y M. A. El-Goorani. "Taxonomic Studies on Erwinia Amylovora Isolates and their Sensitivity to Antibiotics". En Plant Pathogenic Bacteria, 830–34. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3555-6_179.
Texto completoFrost, Thomas M., Stephen R. Carpenter y Timothy K. Kratz. "Choosing Ecological Indicators: Effects of Taxonomic Aggregation on Sensitivity to Stress and Natural Variability". En Ecological Indicators, 215–27. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4659-7_15.
Texto completoŠigutová, Hana, Aleš Dolný, Michael J. Samways, Hardersen Sönke, Junior José Max Oliveira-, Leandro Juen, Khuong Van Dinh y Jason T. Bried. "Odonata as indicators of pollution, habitat quality, and landscape disturbance". En Dragonflies and Damselflies, 371–84. 2a ed. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192898623.003.0026.
Texto completo"Toward a Taxonomy of Interpersonal Sensitivity". En Interpersonal Sensitivity, 17–34. Psychology Press, 2001. http://dx.doi.org/10.4324/9781410600424-8.
Texto completoNavarro-Barranco, Carlos, Macarena Ros, José M. Tierno de Figueroa y José M. Guerra-García. "Marine Crustaceans as Bioindicators: Amphipods as Case Study". En Fisheries and Aquaculture, 436–62. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190865627.003.0017.
Texto completoAyadurai, Charmele y Sina Joneidy. "Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1". En Operations Management - Emerging Trend in the Digital Era. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95539.
Texto completoRemtulla, Karim A. "Redressing Socio-Cultural Insensitivity". En Socio-Cultural Impacts of Workplace E-Learning, 66–85. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-835-7.ch004.
Texto completoHussey, Heather D., Bethany K. B. Fleck y Aaron S. Richmond. "Promoting Active Learning through a Flipped Course Design". En 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.
Texto completoBoussada, Rihab, Mohamed Elhoucine Elhdhili, Balkis Hamdane y Leila Azouz Saidane. "Privacy Preserving in the Modern Era". En Advances in Information Security, Privacy, and Ethics, 1–24. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5250-9.ch001.
Texto completoAyadurai, Charmele y Sina Joneidy. "Artificial Intelligence and Bank Soundness: Between the Devil and the Deep Blue Sea - Part 2". En Operations Management - Emerging Trend in the Digital Era. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95806.
Texto completoActas de conferencias sobre el tema "TAXONOMIC SENSITIVITY"
Kohonen, Teuvo. "Self-organized feature maps". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.tum4.
Texto completoLi, Yifang, Nishant Vishwamitra, Hongxin Hu y Kelly Caine. "Towards A Taxonomy of Content Sensitivity and Sharing Preferences for Photos". En CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3313831.3376498.
Texto completoCoulombe, Charles, Jean-François Gamache, Olivier Barron, Gabriel Descôteaux, David Saussié y Sofiane Achiche. "Task Taxonomy for Autonomous Unmanned Aerial Manipulator: A Review". En 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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