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Books on the topic 'Sol software environment'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Singh, Bhawani. Software for engineering control of landslide and tunnelling hazards. Lisse: Balkema, 2000.

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2

1960-, Goel R. K., ed. Software for engineering control of landslide and tunnelling hazards. Exton, PA: A.A. Balkema Publishers, 2002.

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3

Mortensen, Lance. MCSE: SQL Server 6.5 administration study guide. San Francisco, CA: Sybex, Inc, 1998.

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4

Rick, Sawtell, ed. MCSE. 2nd ed. San Francisco: Sybex Network Press, 1998.

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5

Rick, Sawtell, ed. MCSE: Windows 98 study guide. San Francisco: SYBEX, 1999.

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6

Mortensen, Lance. MCSE. San Francisco, CA: Sybex, Inc, 1998.

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7

Mortensen, Lance. MCSE. San Francisco: Sybex Network Press, 1997.

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8

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Environmental DNA for functional diversity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0010.

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Chapter 10 “Environmental DNA for functional diversity” discusses the potential of environmental DNA to assess functional diversity. It first focuses on DNA metabarcoding and discusses the extent to which this approach can be used and/or optimized to retrieve meaningful information on the functions of the target community. This knowledge usually involves coarsely defined functional groups (e.g., woody, leguminous, graminoid plants; shredders or decomposer soil organisms; pathogenicity or decomposition role of certain microorganisms). Chapter 10 then introduces metagenomics and metatranscriptomics approaches, their advantages, but also the challenges and solutions to appropriately sampling, sequencing these complex DNA/RNA populations. Chapter 10 finally presents several strategies and software to analyze metagenomes/metatranscriptomes, and discusses their pros and cons.

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9

Patterns: Implementing Self-service in an Soa Environment. Vervante, 2006.

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10

Redbooks, IBM. Patterns: Implementing Self-service in an Soa Environment. Ibm, 2005.

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11

Patterns: Implementing self-service in an SOA environment. 2nd ed. [United States?]: IBM, International Technical Support Organization, 2006.

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12

Mazzolai, Barbara. Growth and tropism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0009.

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Plants or plant parts, such as roots or leaves, have the capacity of moving by growing in response to external stimuli with high plasticity and morphological adaptation to the environment. This chapter analyses some plant features and how they have been translated in artificial devices and control. A new generation of ICT hardware and software technologies inspired from plants is described, which includes an artificial root-like prototype that moves in soil imitating the sloughing mechanism of cells at the root apex level; as well as innovative osmotic-based actuators that generate movement imitating turgor variation in the plant cells. As future directions, new technologies expected from the study of plants concern energy-efficient actuation systems, chemical and physical microsensors, sensor fusion techniques, kinematics models, and distributed, adaptive control in networked structures with local information and communication capabilities.

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13

Goel, R. K., and Bhawani Singh. Software for Engineering Control of Landslide and Tunnelling Hazards. Taylor & Francis, 2002.

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14

Mortensen, Lance, and Rick Sawtell. MCSE : Windows 95 Study Guide. Sybex, 1997.

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15

Mortensen, Lance. MCSE: SQL Server 2000 Administration Virtual Trainer. Sybex Inc, 2001.

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16

Mortensen, Lance. MCSE: Systems Management Server 2 Study Guide. Sybex Inc, 1999.

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