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Books on the topic 'Laboratorní manipulace'

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1

Ralf, Kühn, ed. Laboratory protocols for conditional gene targeting. Oxford: Oxford Uninversity Press, 1997.

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2

Sambrook, Joseph. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1989.

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3

Sambrook, Joseph. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1989.

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4

Sambrook, Joseph. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1989.

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5

F, Fritsch E., and Maniatis Tom, eds. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1989.

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6

Sambrook, Joseph. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1987.

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7

Sambrook, Joseph. Molecular cloning: A laboratory manual. 2nd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory, 1989.

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8

Molecular Cloning: A Laboratory Manual (3-Volume Set). 3rd ed. Cold Spring Harbor Laboratory Press, 2001.

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9

Moses, Matthew S., and Gregory S. Chirikjian. Reproduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0007.

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Computing pioneer and polymath John von Neumann introduced the concept of a Universal Constructor as part of his effort to develop a mathematical theory describing living organisms. A Universal Constructor is a kinematic machine able to manipulate and assemble primitive building blocks. Von Neumann showed how this hypothetical constructor, being itself composed of the same primitive blocks, could self-reproduce and evolve. Remarkably, although this model system pre-dates the discovery of the genetic code, it applies to cell molecular biology as well as man-made machines. This chapter describes some key laboratory demonstrations related to universal construction and machine self-reproduction, and discusses parallels between reproduction processes in machines and biological cells.
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10

Kiviniemi, Marc T., and Lynne B. Klasko-Foster. The Behavioral Affective Associations Model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190499037.003.0009.

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This chapter presents a conceptual overview of the role of affective associations in behavioral decision-making. It focuses first on the mechanisms through which affect influences behavior. It then describes the behavioral affective associations model and provides a summary of the research using the model with examples showing promotion of protective behavior and reduction of risky behavior. While observational studies are included, experimental studies in both laboratory and field settings are highlighted to model how interventions can manipulate affective associations to change behaviors. As affect is central to decision-making, new directions for research, such as the role of constructs related to affect, are explored as they relate to decision-making. Finally, implications for real-world interventions and techniques to use affect as a tool for behavior change are discussed.
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11

McCracken, Lance M., and Whitney Scott. Motivation from the Perspective of Contextual Cognitive Behavioral Approaches and the Psychological Flexibility Model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0014.

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In everyday uses, the term motivation may imply a kind of mechanistic, “inside” the person, type of process. Contextual approaches, on the other hand, adopt an evolutionary perspective on motivation that emphasizes the selection of behavior patterns through the joint actions of historical consequences and verbal or cognitive processes, themselves considered the product of the same contextual processes of selection by consequences. The contextual focus on building, maintaining, and elaborating behavior patterns from directly manipulable contextual features enables a focus on variables that are able to serve the purpose of prediction and influence over behavior. Current studies of these processes apply the psychological flexibility model, including its processes of values-based and committed action. Laboratory studies of these processes demonstrate their potential importance in healthy functioning in relation to chronic pain. Treatment studies, including studies of Acceptance and Commitment Therapy (ACT), also demonstrate that enhancing these motivation-related processes has clinical utility.
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12

G, Cowell Ian, and Austin Caroline A, eds. cDNA library protocols. Totowa, N.J: Humana Press, 1997.

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13

L, Joyner Alexandra, ed. Gene targeting: A practical approach. 2nd ed. Oxford: Oxford University Press, 2000.

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14

Piccinini, Gualtiero. Neurocognitive Mechanisms. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198866282.001.0001.

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This book provides the foundations for a neurocomputational explanation of cognition based on contemporary cognitive neuroscience. An ontologically egalitarian account of composition and realization, according to which all levels are equally real, is defended. Multiple realizability and mechanisms are explicated in light of this ontologically egalitarian framework. A goal-contribution account of teleological functions is defended, and so is a mechanistic version of functionalism. This provides the foundation for a mechanistic account of computation, which in turn clarifies the ways in which the computational theory of cognition is a multilevel mechanistic theory supported by contemporary cognitive neuroscience. The book argues that cognition is computational at least in a generic sense. The computational theory of cognition is defended from standard objections yet a priori arguments for the computational theory of cognition are rebutted. The book contends that the typical vehicles of neural computations are representations and that, contrary to the received view, neural representations are observable and manipulable in the laboratory. The book also contends that neural computations are neither digital nor analog; instead, neural computations are sui generis. The book concludes by investigating the relation between computation and consciousness, suggesting that consciousness may have a functional yet not wholly computational nature.
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15

1944-, Adolph Kenneth W., ed. Microbial genome methods. Boca Raton: CRC Press, 1996.

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16

Bing-Yuan, Chen, and Janes Harry W, eds. PCR cloning protocols. 2nd ed. Totowa, N.J: Humana Press, 2002.

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17

White, Bruce A. Pcr Cloning Protocols: From Molecular Cloning to Genetic Engineering (Methods in Molecular Biology). Humana Press, 1997.

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18

PCR Cloning Protocols: From Molecular Cloning to Genetic Engineering (Methods in Molecular Biology). Humana Press, 1997.

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