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Libros sobre el tema "Motion behaviors"

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Publicado: 13 de abril de 2024

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1

Casciati, F., ed. Dynamic Motion: Chaotic and Stochastic Behaviour. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-2682-0.

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2

Fabio, Casciati, ed. Dynamic motion, chaotic and stochastic behaviour. Austria: Springer-Verlag, 1994.

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3

Steeb, W. H. Chaotic and random motion. [Johannesburg]: Rand Afrikaans Univiversity, 1987.

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4

Kautz, Richard. Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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5

Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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6

Chaos: The science of predictable random motion. New York: Oxford University Press, 2011.

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7

Ilg, Uwe J. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Boston, MA: Springer Science+Business Media, LLC, 2010.

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8

Champoux, Joseph E. Organizational behavior: Essential tenets. 2a ed. Mason, Ohio: Thomson/South-Western, 2003.

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9

Pop, Iggy. Trainspotting: [music from the motion picture]. Hollywood, CA: Capitol, 1996.

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10

Skelton, Kimberley, ed. Early Modern Spaces in Motion. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463725811.

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Stretching back to antiquity, motion had been a key means of designing and describing the physical environment. But during the sixteenth through eighteenth centuries, individuals across Europe increasingly designed, experienced, and described a new world of motion: one characterized by continuous, rather than segmented, movement. New spaces that included vistas along house interiors and uninterrupted library reading rooms offered open expanses for shaping sequences of social behaviour, scientists observed how the Earth rotated around the sun, and philosophers attributed emotions to neural vibrations in the human brain. Early Modern Spaces in Motion examines this increased emphasis on motion with eight essays encompassing a geographical span of Portugal to German-speaking lands and a disciplinary range from architectural history to English. It consequently merges longstanding strands of analysis considering people in motion and buildings in motion to explore the cultural historical attitudes underpinning the varied impacts of motion in early modern Europe.
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11

Ambrose, Dean H. Developing random virtual human motions and risky work behaviors for studying anthropotechnical systems. Pittsburgh, PA: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, 2004.

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12

Organizational behavior: Integrating individuals, groups, and processes. Minneapolis/St. Paul: West Pub., 1996.

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13

Fairbrother, Jeffrey T. Fundamentals of motor behavior. Champaign, IL: Human Kinetics, 2010.

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14

Fairbrother, Jeffrey T. Fundamentals of motor behavior. Champaign, IL: Human Kinetics, 2010.

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15

Fairbrother, Jeffrey T. Fundamentals of motor behavior. Champaign, IL: Human Kinetics, 2010.

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16

Fairbrother, Jeffrey T. Fundamentals of motor behavior. Champaign, IL: Human Kinetics, 2010.

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17

Fundamentals of motor behavior. Champaign, IL: Human Kinetics, 2010.

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18

Dahl, Milo D. Effects of fiber motion on the acoustic behavior of an anisotropic, flexible fibrous material. [Washington, DC: National Aeronautics and Space Administration, 1987.

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19

Culture), International School of Mathematical Physics (5th 1983 Ettore Majorana Center for Scientific. Regular and chaotic motions in dynamic systems. New York: Plenum Press, 1985.

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20

Carle, Eric. My very first book of motion. New York: Crowell, 1986.

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21

Carle, Eric. My very first book of motion. New York, NY: Philomel Books, 2007.

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22

Organizational behavior: Essential tenets for a new millennium. Cincinnati: South-Western College Pub., 2000.

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23

Organizations in the movies: The legend of the dysfunctional system. Lanham, Md: University Press of America, 2002.

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24

George, Mather, Verstraten Frans y Anstis S. M, eds. The motion aftereffect: A modern perspective. Cambridge, Mass: The MIT Press, 1998.

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25

Nonlinear dynamical economics and chaotic motion. 2a ed. Berlin: Springer-Verlag, 1993.

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26

Lorenz, Hans-Walter. Nonlinear dynamical economics and chaotic motion. Berlin: Springer-Verlag, 1989.

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27

Massachusetts. Dept. of Public Health. Mass in motion: A call to action : addressing the public health crisis of overweight and obesity in Massachusetts. [Boston, Mass.]: Massachusetts Dept. of Public Health, 2008.

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28

Yifeng, Huang, ed. Dian ying xiao fei zhe xing wei yan jiu. Beijing: Zhongguo dian ying chu ban she, 2011.

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29

C, Ostrow Andrew, ed. Aging and motor behavior. Indianapolis, Ind: Benchmark Press, 1989.

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30

Duffy, Vincent G., ed. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77817-0.

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31

Heuer, Herbert. Motor Behavior: Programming, Control, and Acquisition. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985.

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32

author, Ben-Gal Irad, ed. Search and foraging: Individual motion and swarm dynamics. Boca Raton, FL: CRC Press, 2015.

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33

Brownstein, Michael. Perception, Emotion, Behavior, and Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190633721.003.0002.

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This chapter describes the four components of unplanned spontaneous inclinations. These are (1) noticing a salient Feature in the ambient environment; (2) feeling an immediate, directed, and affective Tension; (3) reacting Behaviorally; and (4) moving toward Alleviation of that tension in such a way that one’s spontaneous reactions can improve over time. Noticing a salient feature (F), in other words, sets a relatively automatic process in motion, involving co-activating particular feelings (T) and behaviors (B) that either will or will not diminish over time (A), depending on the success of the action. The interaction of FTBA components is described in terms of recent debates about the contents of perception, affective representation, and model-free and model-based evaluative learning.
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34

Casciati, F. Dynamic Motion: Chaotic and Stochastic Behaviour. Springer London, Limited, 2014.

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35

Furbish, David Jon. Fluid Physics in Geology. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195077018.001.0001.

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Fluid Physics in Geology is aimed at geology students who are interested in understanding fluid behavior and motion in the context of a wide variety of geological problems, and who wish to pursue related work in fluid physics. The book provides an introductory treatment of the physical and dynamical behaviors of fluids by focusing first on how fluids behave in a general way, then looking more specifically at how they are involved in certain geological processes. The text is written so students may concentrate on the sections that are most relevant to their own needs. Helpful problems following each chapter illustrate applications of the material to realistic problems involving groundwater flows, magma dynamics, open-channel flows, and thermal convection. Fluid Physics in Geology is ideal for graduate courses in all areas of geology, including hydrology, geomorphology, sedimentology, and petrology.
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36

Pilotta, Joseph J. y Algis Mickunas. Before the Ad Image: Body Memory in Motion. Nova Science Publishers, Incorporated, 2018.

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37

Mitchinson, Ben. Attention and orienting. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0027.

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This chapter describes the close relationship between the mental faculty of attention and the physical faculty of orienting, and the importance of this relationship to the construction of artificial biomimetic systems. It reviews the importance of physical orienting to natural motor behavior, which places attention management at the core of all behaviors (“orienting is acting”), and the concomitant social role of physical orienting both in expressing and revealing the focus of a mind. The article highlights the efficiency of top-down and bottom-up processing for behavioral control, using map-based saliency processing as a model, and the suitability of map-based algorithms for parallel or bespoke computation. Given this, and the similar nature of the challenges faced by artificial and natural sensorimotor systems, it is argued that attention management may be a, if not the, key component of future artificial motor control systems.
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38

S, Mahmassani Hani, International Association of Travel Behaviour Research. y International Association of Travel Behaviour Research. Meeting., eds. In perpetual motion: Travel behavior research opportunities and application challenges. Amsterdam: Pergamon, 2002.

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39

Ambady, Nalini y Max D. Weisbuch. Shared Minds in Motion: Dynamic Nonverbal Behavior and Social Influence. Taylor & Francis Group, 2023.

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40

von Philipsborn, Anne C. Neurobiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.003.0003.

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Behavioral neurobiology aims at explaining behavior at the level of neurons and neuronal circuits, based on linking comparative anatomy, and the observation and manipulation of nervous system activity with animal behavior. The numerical simplicity and the presence of identified neurons in insect nervous systems make them outstanding model systems for neurobiology. The insect nervous system has a common ground plan with functionally specialized regions for sensory processing, integration, and motor control. In holometabolous species, the nervous system is restructured during metamorphosis to support new behavior. Different forms of plasticity allow for behavioral adaptations in the adult stage. Neuronal circuits for behavior in Drosophila melanogaster can be effectively analysed with genetic tools, as exemplified for courtship and mating behavior. Recent developments in connectomics and genome editing are expected to further behavioral neurobiology in a broad range of species and permit a comprehensive comparative approach to the neurobiology of behavioral ecology.
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41

Butz, Martin V. y Esther F. Kutter. Decision Making, Control, and Concept Formation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0012.

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While attention controls the internal, mental focus of attention, motor control directs the bodily control focus. Our nervous system is structured in a cascade of interactive control loops, where the primary self-stabilizing control loops can be found directly in the body’s morphology and the muscles themselves. The hierarchical structure enables flexible and selective motor control and the invocation of motor primitives and motor complexes. The learning of motor primitives and complexes again adheres to certain computational systematicities. Redundant behavioral alternatives are encoded in an abstract manner, enabling fast habitual decision making and slower, more elaborated planning processes for realizing context-dependent behavior adaptations. On a higher level, behavior can be segmented into events, during which a particular behavior unfolds, and event boundaries, which characterize the beginning or the end of a behavior. Combinations of events and event boundaries yield event schemata. Hierarchical combinations of event schemata on shorter and longer time scales yield event taxonomies. When developing event boundary detectors, our mind begins to develop environmental conceptualizations. Evidence is available that suggests that such event-oriented conceptualizations are inherently semantic and closely related to linguistic, generative models. Thus, by optimizing behavioral versatility and developing progressively more abstract codes of environmental interactions and manipulations, cognitive encodings develop, which are supporting symbol grounding and grammatical language development.
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42

Voigt, Robert G., Michelle M. Macias y Scott M. Myers, eds. AAP Developmental and Behavioral Pediatrics. American Academy of Pediatrics, 2010. http://dx.doi.org/10.1542/9781581105506.

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Developed by leading experts in developmental and behavioral pediatrics, the all-new AAP Developmental and Behavioral Pediatrics gives one place to turn for expert recommendations to deliver, coordinate, and/or monitor quality developmental/behavioral care within the medical home. The one resource with all the essentials for pediatric primary care providers. Evaluation and care initiation: Interviewing and counseling, Surveillance and screening, Psychoeducational testing, Neurodevelopmental assessment and medical evaluation. Development and disorders: Motor and cognitive development, Speech and language development and disorders, Social and emotional development, Autism spectrum disorders, Learning disabilities. Management solutions: Psychological interventions, Behavioral interventions, Psychopharmacologic management, Complementary and alternative medicine approaches. Contents: Introduction - Child Development: The Basic Science of Pediatrics, Nature, Nurture and Their Interactions in Child Development and Behavior, Interviewing and Counseling Children and Families, Basics of Child Behavior and Primary Care Management of Common Behavioral Problems, Early Intervention, Developmental and Behavioral Surveillance and Screening Within the Medical Home, Neurodevelopmental Assessment and Medical Evaluation, Developmental and Behavioral Diagnoses: The Spectrum and Continuum of Developmental Disabilities and Behavioral Disorders, Motor Development, Cognitive Development, Speech and Language Development and Disorders, Social and Emotional Development, Autism Spectrum Disorders, Psychoeducational Testing, Learning Disabilities, Attention-Deficit/Hyperactivity Disorder, Disruptive Behavior Disorders, Anxiety and Mood Disorders, Evidence-based Psychological and Behavioral Interventions, Principles of Psychopharmacologic Management, Complementary and Alternative Medicine in Developmental and Behavioral Pediatrics, Sensory Impairments: Hearing and Vision, Social and Community Services, Transition to Adult Medical Care, Billing and Coding for Developmental and Behavioral Problems in Outpatient Primary Care.
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43

Ilg, Uwe J. y Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2010.

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44

Ilg, Uwe J. y Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2014.

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45

Changes in Pilot Control Behaviour across Stewart Platform Motion Systems. Berlin, Germany: Logos-Verlag Berlin, 2012.

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46

Champoux, Joseph E. Organizational Behavior: Essential Tenets. 2a ed. South-Western College Pub, 2002.

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47

Peñagarikano, Olga y Daniel H. Geschwind. CNTNAP2 and Autism Spectrum Disorders. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199744312.003.0016.

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Although autism was described in the early 1940s as a disorder of affective contact (Kanner, 1943), it was not classified as a neurodevelopmental disorder with a biological basis until the early 1980s, when studies reported its high heritability (Folstein & Rutter, 1977; Ritvo et al., 1985) and co-occurrence with chromosomal abnormalities (Gillberg & Wahlstrom, 1985; Wahlström et al., 1986). Today, autism is considered a heterogeneous neurodevelopmental syndrome and therefore termed autism spectrum disorder (ASD), characterized by variable deficits in social behavior and language, restrictive interests, and repetitive behaviors. Autism spectrum disorder has an estimated prevalence of 1:150–1:200 (Centers for Disease Control and Prevention, 2007), being one of the most common childhood disorders. In addition to the core domains necessary for diagnosis, a number of other behavioral abnormalities are frequently associated with ASD, including epilepsy, sensory abnormalities, hyperactivity, motor abnormalities, sleep disturbances, and gastrointestinal symptoms (Geschwind, 2009).
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48

Ives, Dr Jeffrey. Motor Behavior. LWW, 2018.

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49

Batterman, Robert W. A Middle Way. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197568613.001.0001.

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This book focuses on a method for exploring, explaining, and understanding the behavior of large many-body systems. It describes an approach to non-equilibrium behavior that focuses on structures (represented by correlation functions) that characterize mesoscale properties of the systems. In other words, rather than a fully bottom-up approach, starting with the components at the atomic or molecular scale, the “hydrodynamic approach” aims to describe and account for continuum behaviors by largely ignoring details at the “fundamental” level. This methodological approach has its origins in Einstein’s work on Brownian motion. He gave what may be the first instance of “upscaling” to determine an effective (continuum) value for a material parameter—the viscosity. His method is of a kind with much work in the science of materials. This connection and the wide-ranging interdisciplinary nature of these methods are stressed. Einstein also provided the first expression of a fundamental theorem of statistical mechanics called the Fluctuation-Dissipation theorem. This theorem provides the primary justification for the hydrodynamic, mesoscale methodology. Philosophical consequences include an argument to the effect that mesoscale parameters can be the natural variables for characterizing many-body systems. Further, the book offers a new argument for why continuum theories (fluid mechanics and equations for the bending of beams) are still justified despite completely ignoring the fact that fluids and materials have lower scale structure. The book argues for a middle way between continuum theories and atomic theories. A proper understanding of those connections can be had when mesoscales are taken seriously.
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50

Hickman, Pamela. Animals in Motion: How Animals Swim, Jump, Slither and Glide (Animal Behavior). Kids Can Press, Ltd., 2000.

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