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1

Shah, Suril Vijaykumar. Dynamics of Tree-Type Robotic Systems. Dordrecht: Springer Netherlands, 2013.

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2

Shah, Suril Vijaykumar, Subir Kumar Saha, and Jayanta Kumar Dutt. Dynamics of Tree-Type Robotic Systems. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5006-7.

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3

Awrejcewicz, J. Smooth and nonsmooth high dimensional chaos and the Melnikov-type methods. Singapore: World Scientific, 2007.

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4

Cardiovascular dynamics: A psychophysiological study : behavioral control, type A, task performance, test anxiety, and cardiovascular responses. Berwyn [Pa.]: Swets North America, 1986.

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5

Kuprina, Elena. Co-creation in music and music education. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1019193.

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The monograph is devoted to the problem of musical co-creation, represents the artistic and dynamic system. The author considers the musical co-creation from the perspective of interdisciplinary approach, as the phase of the creative process, featuring self-contained characteristics, manifested in the "I" and "I'm Different" through specific regularities and principles. In music co-creation differentiated into spheres, types and forms, where the role of the ratio of the subjects and the performance of co-creative artistic projects are analyzed from the position of system dynamics. In music education operates a pedagogy of co-creation, manifesting the specifics through professional, psychological, reflective, and educational facets. Presented to the organizational form of the pedagogy of co-creation, from the perspective of information approach given the findings of a study of the influence of pop on the sensory system of the student of a musician-performer (the performer). Can be used in courses of the disciplines of the history of music, music psychology and music pedagogy, pedagogy of co-creation. Addressed to students of music schools, teachers, musicians of all disciplines, musicologists and cultural studies, researchers, creative processes, and a wide circle of curious readers.
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6

Beaser, Richard S. Outsmarting diabetes: A dynamic approach for reducing the effects of insulin-dependent diabetes. Minneapolis, MN: Chronimed Pub., 1994.

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7

Vol'vak, Sergey. Hydraulics. Workshop. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1045068.

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Study guide corresponds to the program discipline "Hydraulics". Consists of two parts and is for carrying out practical and laboratory works. The first part provides material on the basics of the calculation of hydraulic machines, hydraulic drives of agricultural machinery, systems of land reclamation and hydraulic transport for development of skills of application of theoretical information to solve specific technical problems and development practices of hydraulic calculations. The second part contains material for the study of the methods and instruments for measuring pressure, the study of the equation of Bernoulli, determination of hydraulic resistance, the study of the structure and principles of operation of positive displacement pumps and dynamic-type, cylinders, volumetric hydraulic drive and hydrodynamic transmission elements and schemes of irrigation systems and agricultural water supply. To conduct practical and laboratory classes for students of all forms of training in the direction of training 35.03.06 "Agroengineering", as well as for graduate students, teachers and technical workers of agriculture.
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8

1973-, Warzel Simone, ed. Random operators: Disorder effects on quantum spectra and dynamics. Providence, Rhode Island: American Mathematical Society, 2015.

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9

Herrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. Providence, Rhode Island: American Mathematical Society, 2014.

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10

Germany) International Conference on p-adic Functional Analysis (13th 2014 Paderborn. Advances in non-Archimedean analysis: 13th International Conference on p-adic Functional Analysis, August 12-16, 2014, University of Paderborn, Paderborn, Germany. Edited by Glöckner Helge 1969 editor, Escassut Alain editor, and Shamseddine Khodr 1966 editor. Providence, Rhode Island: American Mathematical Society, 2016.

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11

1975-, Sims Robert, and Ueltschi Daniel 1969-, eds. Entropy and the quantum II: Arizona School of Analysis with Applications, March 15-19, 2010, University of Arizona. Providence, R.I: American Mathematical Society, 2011.

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12

Dutt, Jayanta Kumar, Suril Vijaykumar Shah, and Subir Kumar Saha. Dynamics of Tree-Type Robotic Systems. Springer, 2012.

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13

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Why Study Nonlinear Time Series Analysis? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0001.

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Nonlinear Time Series Analysis (NLTS) provides a mathematically rigorous collection of techniques designed to reconstruct real-world system dynamics from time series data on a single variable or multiple causally-related variables. NLTS facilitates scientific inquiry that emphasizes strong supportive evidence, well-conducted and thorough inquiry, and realism. Data provide an essential evidentiary portal to a reality to which we have only limited access. Random-appearing data do not prove that underlying dynamic process are subject to exogenous inherently-random forces. The possibility exists that observed volatility is generated by inherently-unstable, deterministic, and nonlinear real-world dynamic systems. NLTS allows the data to speak regarding which type of system dynamics generated them. It is capable of detecting linear as well as nonlinear deterministic system dynamics, and diagnosing the presence of linear stochastic dynamics. Our objective is to use NLTS to uncover the structure best corresponding to reality whether it be linear, nonlinear, deterministic, or stochastic. Accurate diagnosis of real-world dynamics from observed data is crucial to develop valid theory, and to formulate effective public policy based on theory.
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14

TYRE MODELS FOR VEHICLE DYNAMIC ANALYSIS (Supplement Vehicle System Dynamics (Vsd) Ser. ; Vol. 27)). Taylor & Francis, 1997.

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15

Autotech 89: Suspension systems and tyre dynamics. London: Institution of Mechancial Engineers, 1989.

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16

Palacios, Angel Fierros. The Hamilton-Type Principle in Fluid Dynamics. Springer, 2008.

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17

Arnellos, Argyris, and Charbel El-Hani. Emergence, Downward Causation, and No Brute Facts in Biological Systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198758600.003.0014.

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This chapter explains emergence in biological organizations through a conception of ontological emergence according to which certain types of dynamical organizations possess irreducible properties that are nevertheless derivable from the substrate. The authors concentrate on the ontological dimension of emergence as the irreducibly causal configuration exhibited by all organizations that manifest persistence and stability in their environment. This is a conception of ontological emergence where the locus of novel causal powers is the configuration of constituents into stable dynamic organizations. There is nothing brute to be explained in the emergence of causal properties in a biological organization; all that is needed is the consideration of its organizational characteristics in terms of same-level and inter-level causal interactions, the type of which is of formal causation for interactions among the constituents of the organization and of efficient causation for interactions among the constituents and the micro-properties of their surrounding emergence base.
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18

Giunti, Marco. Computation, Dynamics, and Cognition. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195090093.001.0001.

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Currently there is growing interest in the application of dynamical methods to the study of cognition. Computation, Dynamics, and Cognition investigates this convergence from a theoretical and philosophical perspective, generating a provocative new view of the aims and methods of cognitive science. Advancing the dynamical approach as the methodological frame best equipped to guide inquiry in the field's two main research programs--the symbolic and connectionist approaches--Marco Giunti engages a host of questions crucial not only to the science of cognition, but also to computation theory, dynamical systems theory, philosophy of mind, and philosophy of science. In chapter one Giunti employs a dynamical viewpoint to explore foundational issues in computation theory. Using the concept of Turing computability, he precisely and originally defines the nature of a computational system, sharpening our understanding of computation theory and its applications. In chapter two he generalizes his definition of a computational system, arguing that the concept of Turing computability itself is relative to the kind of support on which Turing machine operate. Chapter three completes the book's conceptual foundation, discussing a form of scientific explanation for real dynamical systems that Giunti calls "Galilean explanation." The book's fourth and final chapter develops the methodological thesis that all cognitive systems are dynamical systems. On Giunti's view, a dynamical approach is likely to benefit even those scientific explanations of cognition which are based on symbolic models. Giunti concludes by proposing a new modeling practice for cognitive science, one based on "Galilean models" of cognitive systems. Innovative, lucidly-written, and broad-ranging in its analysis, Computation, Dynamics, and Cognition will interest philosophers of science and mind, as well as cognitive scientists, computer scientists, and theorists of dynamical systems. This book elaborates a comprehensive picture of the application of dynamical methods to the study of cognition. Giunti argues that both computational systems and connectionist networks are special types of dynamical systems. He shows how this dynamical approach can be applied to problems of cognition, information processing, consciousness, meaning, and the relation between body and mind.
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19

Attractors for Degenerate Parabolic Type Equations. American Mathematical Society, 2013.

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20

Laver, Michael, and Ernest Sergenti. The Evolutionary Dynamics of Decision Rule Selection. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0008.

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This chapter extends the survival-of-the-fittest evolutionary environment to consider the possibility that new political parties, when they first come into existence, do not pick decision rules at random but instead choose rules that have a track record of past success. This is done by adding replicator-mutator dynamics to the model, according to which the probability that each rule is selected by a new party is an evolving but noisy function of that rule's past performance. Estimating characteristic outputs when this type of positive feedback enters the dynamic model creates new methodological challenges. The simulation results show that it is very rare for one decision rule to drive out all others over the long run. While the diversity of decision rules used by party leaders is drastically reduced with such positive feedback in the party system, and while some particular decision rule is typically prominent over a certain period of time, party systems in which party leaders use different decision rules are sustained over substantial periods.
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21

Brock, Fred V., and Scott J. Richardson. Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.001.0001.

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This book treats instrumentation used in meteorological surface systems, both on the synoptic scale and the mesoscale, and the instrumentation used in upper air soundings. The text includes material on first- and second-order differential equations as applied to instrument dynamic performance, and required solutions are developed. Sensor physics are emphasized in order to explain how sensors work and to explore the strengths and weaknesses of each design type. The book is organized according to sensor type and function (temperature, humidity, and wind sensors, for example), though several unifying themes are developed for each sensor. Functional diagrams are used to portray sensors as a set of logical functions, and static sensitivity is derived from a sensor's transfer equation, focusing attention on sensor physics and on ways in which particular designs might be improved. Sensor performance specifications are explored, helping to compare various instruments and to tell users what to expect as a reasonable level of performance. Finally, the text examines the critical area of environmental exposure of instruments. In a well-designed, properly installed, and well-maintained meteorological measurement system, exposure problems are usually the largest source of error, making this chapter one of the most useful sections of the book.
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22

Bernstein, Geula Miriam. Dynamic expression of the N-type voltage dependent calcium channel in model systems of expression and disease. 2003.

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23

Raydugin, Yuri G. Modern Risk Quantification in Complex Projects. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844334.001.0001.

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There are multiple complaints that existing project risk quantification methods—both parametric and Monte Carlo—fail to produce accurate project duration and cost-risk contingencies in a majority of cases. It is shown that major components of project risk exposure—non-linear risk interactions—pertaining to complex projects are not taken into account. It is argued that a project system consists of two interacting subsystems: a project structure subsystem (PSS) and a project delivery subsystem (PDS). Any misalignments or imbalances between these two subsystems (PSS–PDS mismatches) are associated with the non-linear risk interactions. Principles of risk quantification are developed to take into account three types of non-linear risk interactions in complex projects: internal risk amplifications due to existing ‘chronic’ project system issues, knock-on interactions, and risk compounding. Modified bowtie diagrams for the three types of risk interactions are developed to identify and address interacting risks. A framework to visualize dynamic risk patterns in affinities of interacting risks is proposed. Required mathematical expressions and templates to factor relevant risk interactions to Monte Carlo models are developed. Business cases are discussed to demonstrate the power of the newly-developed non-linear Monte Carlo methodology (non-linear integrated schedule and cost risk analysis (N-SCRA)). A project system dynamics methodology based on rework cycles is adopted as a supporting risk quantification tool. Comparison of results yielded by the non-linear Monte Carlo and system dynamics models demonstrates a good alignment of the two methodologies. All developed Monte Carlo and system dynamics models are available on the book’s companion website.
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24

Roque, Tatiana. The role of genericity in the history of dynamical systems theory. Edited by Karine Chemla, Renaud Chorlay, and David Rabouin. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198777267.013.10.

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This article examines the role of genericity in the development of dynamical systems theory. In his memoir ‘Sur les courbes définies par une équation différentielle’, published in four parts between 1881 and 1886, Henri Poincaré studied the behavior of curves that are solutions for certain types of differential equations. He successfully classified them by focusing on singular points, described the trajectories’ behavior in important particular cases and provided new methods that proved to be extremely useful. This article begins with a discussion of singularity theory and its influence on the first definitions of genericity, along with the application of the notions of structural stability and genericity to understand dynamical systems. It also analyzes the Smale conjecture and how it was proven wrong and concludes with an overview of changes in the definitions of genericity meant to describe the ‘dark realm of dynamics’.
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25

The Hamilton-Type Principle in Fluid Dynamics: Fundamentals and Applications to Magnetohydrodynamics, Thermodynamics, and Astrophysics. Springer, 2006.

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26

Esler, Karen J., Anna L. Jacobsen, and R. Brandon Pratt. Ecosystems processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198739135.003.0007.

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Ecosystems are assemblages of organisms interacting with one another and their environment (Chapter 1). Key to the functioning of ecosystems is the flow of energy, carbon, mineral nutrients, and water in these systems. The numerous processes involved are chiefly driven by climate, soil, and fire (Chapter 2). In cases where the key drivers are the same in different areas, then ecosystems should converge in their structure and function, which has been a motivation for comparing across mediterranean-type climate (MTC) regions. Convergence of MTC regions has been evaluated, but such comparisons at the ecosystem level are challenging because ecosystems are complex and dynamic entities. Here we review carbon, nutrient, and water dynamics of mediterranean-type ecosystems in the context of ecosystem function. As nutrients in soils are low in some MTC regions, we review how this has led to unique adaptations to meet this challenge.
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27

Smooth and Nonsmooth High Dimensional Chaos and the Melnidov-Type Methods (World Scientific Series on Nonlinear Science Series a) (World Scientific Series on Nonlinear Science Series a). World Scientific Publishing Company, 2007.

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28

Laver, Michael, and Ernest Sergenti. In Conclusion. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0012.

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This concluding chapter summarizes key themes and presents some final thoughts. This book started with the twin premises that understanding multiparty competition is a core concern for everyone interested in representative democracy and that multiparty competition should be understood as an evolving dynamic system, not a stationary state. Given these premises, it investigated the dynamics of multiparty competition using computational agent-based modeling, a new technology that is ideally suited to providing systematic answers to the types of question we want to ask. This allows the modeling of decision making by party leaders, in what is clearly an analytically intractable setting, in terms of the informal rules of thumb that might be used by real human beings, rather than the formally provable best response strategies used by traditional formal theorists. Whether people use the dynamic model of multiparty competition or some better model of this vital but complex political process, there is no doubt that the computational approach deployed in this book offers vast potential to ask and answer interesting and important questions.
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29

Watkins, James. Developmental biodynamics. Edited by Neil Armstrong and Willem van Mechelen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198757672.003.0003.

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From a dynamical systems perspective, coordination of human movement emerges from the intrinsic self-organizing properties of the dynamical system consisting of the individual, the task, and the environment. The movement pattern that emerges depends upon the state of the system components which impose constraints on the types of movement that may emerge. These constraints arise from the anthropometry and functional ability of the individual (individual constraints), the requirements of the task (task constraints), and the prevailing environmental conditions (environmental constraints). Abnormal movement due to cerebral palsy, disease, or injury is likely to be due to abnormal individual constraints in the form of abnormal energy resources. Therapy directed at normalizing the abnormal energy resources is likely to be more effective than therapy directed at normalizing the abnormal kinematics.
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30

The Octagonal PETs. American Mathematical Society, 2014.

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31

Di Paolo, Ezequiel, Thomas Buhrmann, and Xabier Barandiaran. Sensorimotor Life. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198786849.001.0001.

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This book elaborates a series of contributions to a non–representational theory of action and perception. It is based on current theoretical developments in the enactive approach to life and mind. These enactive ideas are applied and extended to provide a theoretically rich, naturalistic account of sensorimotor meaning and agency. This account supplies non–representational extensions to the sensorimotor approach to perceptual experience based on the notion of the living body as a self–organizing dynamic system in coupling with the environment. The enactive perspective entails the use of world–involving explanations, in which processes external to an agent co–constitute mental phenomena in ways that cannot be reduced to the supply of information for internal processing. These contributions to sensorimotor theories are a dynamical–systems description of different types of sensorimotor regularities or sensorimotor contingencies, a dynamical interpretation of Piaget's theory of equilibration to ground the concept of sensorimotor mastery, and a theory of agency as organized networks of sensorimotor schemes, with its implications for sensorimotor subjectivity. New tools are provided for examining the organization, development, and operation of networks of sensorimotor schemes that compose regional activities and genres of action with their own situated norms. This permits the exploration of new explanations for the phenomenology of agency experience that are favorably contrasted with traditional computational approaches and lead to new empirical predictions. From these proposals, capabilities once beyond the reach of enactive explanations, such as the possibility of virtual actions and the adoption of socially mediated abstract perceptual attitudes, can be addressed.
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32

Rohracher, Harald. Analyzing the Socio-Technical Transformation of Energy Systems. Edited by Debra J. Davidson and Matthias Gross. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190633851.013.3.

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Dealing with the immense societal challenges of climate change and resource depletion requires no less than a fundamental transformation of the energy system, comprising not only technological change, but also cultures of energy use and consumption, new regulations, and new types of actors operating on the energy market. A growing field of interdisciplinary social science research on “sustainability transitions” deals with the dynamics and governance of such transformative, systemic, and socio-technical change processes toward sustainability. This chapter gives an overview of concepts used to study energy system transitions, their strengths and shortcomings, as well as new advancements. The chapter also discusses a concrete example of socio-technical change in the field of renewable energy—wind power—and reflects on some of the lessons that can be drawn from this about the interdependence of energy and society and for an understanding of transitions toward a more sustainable energy system.
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33

Martínez-Pérez, M. J., R. Kleiner, and D. Koelle. NanoSQUIDs Applied to the Investigation of Small Magnetic Systems. Edited by A. V. Narlikar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198738169.013.19.

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This article discusses the use of nanoSQUIDs for investigating small magnetic systems. It begins with an overview of the basics of superconducting quantum interference devices, focusing on how a dc SQUID operates and the use of resistively and capacitively shunted junction model to describe the phase dynamics of Josephson junctions (JJs). It then considers the motivation for using nanoSQUIDs, along with the importance of their size and geometry. It also evaluates micro- and nanoSQUIDs made of various types of JJs including nanoSQUIDs based on sandwich-like junctions, constriction-like junctions, and proximized structures. After reviewing different nanoSQUID readout methods that can be used to directly sense the stray magnetic field created by a nanoscale magnetic sample, the article concludes by highlighting some of the practical constraints and challenges encountered in using nanoSQUID technology, including particle positioning with respect to the sensor’s surface.
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34

Albert, Tyler J., and Erik R. Swenson. The blood cells and blood count. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0265.

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Blood is a dynamic fluid consisting of cellular and plasma components undergoing constant regeneration and recycling. Like most physiological systems, the concentrations of these components are tightly regulated within narrow limits under normal conditions. In the critically-ill population, however, haematological abnormalities frequently occur and are largely due to non-haematological single- or multiple-organ pathology. Haematopoiesis originates from the pluripotent stem cell, which undergoes replication, proliferation, and differentiation, giving rise to cells of the erythroid, myeloid, and lymphoid series, as well as megakaryocytes, the precursors to platelets. The haemostatic system is responsible for maintaining blood fluidity and, at the same time, prevents blood loss by initiating rapid, localized, and appropriate blood clotting at sites of vascular damage. This system is complex, comprising both cellular and plasma elements, i.e. platelets, coagulation and fibrinolytic cascades, the natural intrinsic and extrinsic pathways of anticoagulation, and the vascular endothelium. A rapid, reliable, and inexpensive method of examining haematological disorders is the peripheral blood smear, which allows practitioners to assess the functional status of the bone marrow during cytopenic states. Red blood cells, which are primarily concerned with oxygen and carbon dioxide transport, have a normal lifespan of only 120 days and require constant erythropoiesis. White blood cells represent a summation of several circulating cell types, each deriving from the hematopoietic stem cell, together forming the critical components of both the innate and adaptive immune systems. Platelets are integral to haemostasis, and also aid our inflammatory and immune responses, help maintain vascular integrity, and contribute to wound healing.
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35

Wimbush, Vincent L. “Aru Oyim de de de Dei!”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190664701.003.0002.

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Things Fall Apart, with its thick and complex and rich representation of traditional village life, especially its central/centering rituals, sensibilities, and orientation, opens a window onto a world with a particular type of collective consciousness and politics and dynamics. In this chapter the Umuofia village in what we know today as Nigeria is introduced as the semi-fictional setting for the ongoing dynamics of a socially complex and richly textured society of local customs and traditions. Among these traditions is the masking ritual and the gendered, class, and interpersonal relations that it reflects and structures. Set at the end of the nineteenth century, at the height of the consolidations of the colonial era, Achebe’s story offers us an honest and realistic picture of a black world that represents a particular orientation to the world, a sensibility and mood, an epistemic system, including a certain felt anxiety and fear, symbolized by and managed through the mask worn in rituals.
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36

Apollon, Daniel, and Claire Bélisle. The Digital Fate of the Critical Apparatus. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038402.003.0004.

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This chapter discusses the different characteristics of critical edition. It illustrates a global view of the processes and key components of digital critical edition with examples of problems and concrete solutions. The chapter aims to describe how “traditional” components of critical edition—the critical apparatus, the page layout, indexes, and different types of reference systems—can be combined, through digital technology, with tools for analysis and dynamic organization under the reader's control. Through examples of online productions, the chapter shows how the historical modes and conventions are reformulated in a digital environment and how digitally specific modalities can renew critical edition projects.
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37

Shapiro, Arthur G. Contrast Asynchronies. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0112.

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Contrast asynchronies juxtapose color and color contrast information. The basic configuration of a contrast asynchrony consists of two identical disks whose luminance levels change in time from light to dark and back again; one disk is surrounded by a bright field and the other by a dark field; at 1Hz, observers report seeing the disks modulating in antiphase, yet also becoming light and dark at the same time. While such a configuration may look like a dynamic brightness illusion, the actual effect occurs because the visual system separates the in-phase luminance information from the antiphase contrast information. Variations of the contrast asynchrony paradigm can isolate different types of visual responses information.
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38

Lutgens, Esther, Marie-Luce Bochaton-Piallat, and Christian Weber. Atherosclerosis: cellular mechanisms. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755777.003.0013.

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Atherosclerosis is a lipid-driven, chronic inflammatory disease of the large and middle-sized arteries that affects every human being and slowly progresses with age. The disease is characterized by the presence of atherosclerotic plaques consisting of lipids, (immune) cells, and debris that form in the arterial intima. Plaques develop at predisposed regions characterized by disturbed blood flow dynamics, such as curvatures and branch points. In the past decades, experimental and patient studies have revealed the role of the different cell-types of the innate and adaptive immune system, and of non-immune cells such as platelets, endothelial, and vascular smooth muscle cells, in its pathogenesis. This chapter highlights the roles of these individual cell types in atherogenesis and explains their modes of communication using chemokines, cytokines, and co-stimulatory molecules.
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39

Polikhun, Nataliia, Kateryna Postova, Iryna Slipukhina, and Lesia Horban. Project of educational program for institutions of specialized education of scientific direction. Institute of Gifted Children of the National Academy of Pedagogical Sciences of Ukraine, 2021. http://dx.doi.org/10.32405/978-617-7734-30-6-2021-48.

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The project of the educational program for establishments of specialized education of a scientific direction is the normative document containing a complex of educational components for achievement by pupils of education of the results of training defined by the Standard of specialized education of a scientific direction. The project is the basis for integration processes between formal and non-formal education, convergence of educational systems, different types of educational institutions and institutions that can provide educational services. It contributes to the creation of optimal conditions for the implementation of specialized education in the scientific field and the development of an integrated educational space of relevant educational institutions. The key goal of the project program is to ensure the development of research competence through the direct involvement of students of basic and specialized schools in educational research, design, invention and exploration activities in accordance with the Standard of specialized education. The project is developed on the basis of modern state educational policy and strategy of reforming the education system of Ukraine. The project of the educational program for institutions of specialized education of scientific direction is an open, dynamic resource intended for creative pedagogical communities ready to carry out innovative activity on development of specialized education of scientific direction.
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40

Landini, Fabio, and Ugo Pagano. The Evolution of Corporate Species. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805274.003.0007.

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The evolution of biological species is influenced by two types of complementarities. One is related to the synergies among and within organisms, while the other is the outcome of conflicts among different species and among members of the same species. In both conflictual and synergic complementarities, the traits selected in one domain affect the traits selected in the other domain. However, synergies and conflicts involve different mechanisms and interact with each other to generate complex co-evolutionary dynamics. Socio-economic systems are characterized by similar complementarities. Whereas technology and property rights exhibit synergic complementarities, workers’ and capitalists’ organizations display conflictual complementarities. The evolution of different species of capitalism can be better understood in terms of both types of complementarities and by their interactions. The comparative history of the American and the European economies is used to illustrate how models of capitalism can diverge, building different types of institutional complementarities over time.
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41

Jacobsen, Dean, and Olivier Dangles. The waterscape at high altitudes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736868.003.0002.

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Chapter 2 presents the amazing variety of running waters, lakes, ponds, and wetlands found at high altitudes. These waterbodies are not equally distributed among the world’s high altitude places, but tend to be concentrated in certain areas, primarily determined by regional climate and topography. Thus, a large proportion of the world’s truly high altitude aquatic systems are found at lower latitudes, mostly in the tropics. The chapter presents general patterns in the geographical distribution of high altitude waters, and gives examples of some of the most extreme systems. High altitude aquatic systems and habitats cover a broad variety in dynamics and physical appearance. These differences may be related to, for example, water source (glacier-fed, rain-fed, or groundwater-fed streams), geological origin (e.g. glacial, volcanic, or tectonic lakes), or catchment slope and altitude (different types of peatland wetlands). This is exemplified and richly illustrated through numerous photos.
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42

Ram-Prasad, Chakravarthi. Human Being, Bodily Being. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198823629.001.0001.

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This book seeks to make a contribution to contemporary phenomenological theories of body and subjectivity by studying various classical Indian texts that deal with bodily subjectivity (or the ‘bodiliness’ of being human) in ways that engage with the same concerns as contemporary Western philosophy but have different conceptual starting points. Through studies of four texts from different genres, I argue for a ‘phenomenological ecology’ of bodily subjectivity. An ecology is a continuous and dynamic system of interrelationships between elements, in which the salience accorded to some type of relationship clarifies how the elements it relates are to be identified. The paradigm of ecological phenomenology obviates the need to choose between apparently incompatible perspectives of the human. The delineation of body is arrived at by working back phenomenologically from the entire world of experience, with the acknowledgement that the point of arrival—a conception of what counts as body—is dependent upon the exact motivation for attending to experience, the areas of experience attended to, the genre in which the exploration of experience is expressed, and the expressive tools available to the phenomenologist. As a methodology, it is a pluralistic yet integrated approach to the way experience is attended to and studied, that permits apparently inconsistent intuitions about bodiliness to be explored in novel ways. Rather than seeing particular framings of our experience as in tension with each other, we should see each such framing as playing its own role according to the local descriptive and analytic concern of that text.
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43

Jacobsen, Dean, and Olivier Dangles. Ecology of High Altitude Waters. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736868.001.0001.

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This book brings together current knowledge on patterns and processes in the ecology of streams, lakes, and wetlands situated at more than 3000 m above sea level. The alpine headwaters of the large Asian rivers and Lake Titicaca are both well-known and iconic examples. High altitude waters include more than these systems—they are both numerous and cover many habitat types, organisms, and specializations. The book provides an overview of the variety of aquatic ecosystems and habitats, their environmental features, prominent species, and their functional adaptations to the harsh aquatic environmental conditions through to global diversity patterns along altitudinal gradients, community dynamics, species interactions and dispersal, trophic relations, and energy flows. High altitude waters are ideal systems to address a broad range of topical themes in ecology because patterns and processes are both diverse and singular. The book highlights how key concepts in ecology (e.g. the stress gradient hypothesis, the biodiversity–ecosystem functioning relationship) could find relevant study models in high altitude waters. The usual perception of pristine mountain waters is far from true, particularly in the case of high altitude waters at low latitudes where human population density is often high, and local communities live in intimate contact with, utilize, influence, and exploit these aquatic systems. Climate change effects, extinction risks of mountain populations due to vanishing glaciers, multiple human impacts, management, and conservation are also treated thoroughly. The book is richly illustrated with diagrams and numerous pictures of these poorly known systems and species.
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44

Chemla, Karine, Renaud Chorlay, and David Rabouin, eds. The Oxford Handbook of Generality in Mathematics and the Sciences. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198777267.001.0001.

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This handbook examines how actors have valued generality in mathematics and the sciences and how they worked with specific types of “general” entities, procedures, and arguments. It argues that actors have shaped these various types of generality, mainly by introducing specific terminologies to distinguish between different levels or forms of generality, as well as designing means to work with them, or to work in relation to them. The book is organized into three parts. Part I deals with the meaning and value of generality, and more specifically the value of generality in Michel Chasles’s historiography of geometry and generality in Gottfried Leibniz’s mathematics. Part II focuses on statements and concepts that make up the general, covering topics such as Henri Poincaré’s work on the recurrence theorem and the role of genericity in the history of dynamical systems theory. Part III explores the practices of generality, including the dispute over tangents between René Descartes and Pierre de Fermat, generality in James Clerk Maxwell’s theory of electromagnetism, and practices of generalization in mathematical physics, biology, and evolutionary strategies.
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45

Goodman, James. Nationalism as a Social Movement. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.267.

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Since the late eighteenth century, nationalist movements have been one of the world’s most powerful agents of social change. As a social movement, nationalism serves as a primary instrument both for popular aspiration and for ruling ideology. It is embedded in political contexts and can only be explained in relation to the resulting dynamics of contention. There is considerable debate over types of nationalist movements and their role in history, in large part because nationalism is not often explicitly conceptualized as a social movement. These debates, especially those that played out through the 1980s and into the mid-1990s, offer important insights into nationalist mobilization and its conditions of emergence and development. In order to understand the dynamics of nationalism as a social movement, one may draw insights from the “political process” school of social movement scholarship, where the exercise of state power is seen as framing movement identification and as structuring mobilization. Three interrelated dimensions deserve consideration in this regard: material interests and resources, institutional opportunities, and ideological framing of nationalist mobilization. Each is linked to the other by a process of capitalist development that creates systemic inequalities and fragments global society into national units. What emerges is a political sociology of nationalist movements, where movements are embedded in the social forces that they inhabit. The interaction of social forces and nationalist mobilization can be conceived of as a hierarchy, where one leads to the other.
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46

Busuioc, Aristita, and Alexandru Dumitrescu. Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.770.

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This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Climate Science. Please check back later for the full article.The concept of statistical downscaling or empirical-statistical downscaling became a distinct and important scientific approach in climate science in recent decades, when the climate change issue and assessment of climate change impact on various social and natural systems have become international challenges. Global climate models are the best tools for estimating future climate conditions. Even if improvements can be made in state-of-the art global climate models, in terms of spatial resolution and their performance in simulation of climate characteristics, they are still skillful only in reproducing large-scale feature of climate variability, such as global mean temperature or various circulation patterns (e.g., the North Atlantic Oscillation). However, these models are not able to provide reliable information on local climate characteristics (mean temperature, total precipitation), especially on extreme weather and climate events. The main reason for this failure is the influence of local geographical features on the local climate, as well as other factors related to surrounding large-scale conditions, the influence of which cannot be correctly taken into consideration by the current dynamical global models.Impact models, such as hydrological and crop models, need high resolution information on various climate parameters on the scale of a river basin or a farm, scales that are not available from the usual global climate models. Downscaling techniques produce regional climate information on finer scale, from global climate change scenarios, based on the assumption that there is a systematic link between the large-scale and local climate. Two types of downscaling approaches are known: a) dynamical downscaling is based on regional climate models nested in a global climate model; and b) statistical downscaling is based on developing statistical relationships between large-scale atmospheric variables (predictors), available from global climate models, and observed local-scale variables of interest (predictands).Various types of empirical-statistical downscaling approaches can be placed approximately in linear and nonlinear groupings. The empirical-statistical downscaling techniques focus more on details related to the nonlinear models—their validation, strengths, and weaknesses—in comparison to linear models or the mixed models combining the linear and nonlinear approaches. Stochastic models can be applied to daily and sub-daily precipitation in Romania, with a comparison to dynamical downscaling. Conditional stochastic models are generally specific for daily or sub-daily precipitation as predictand.A complex validation of the nonlinear statistical downscaling models, selection of the large-scale predictors, model ability to reproduce historical trends, extreme events, and the uncertainty related to future downscaled changes are important issues. A better estimation of the uncertainty related to downscaled climate change projections can be achieved by using ensembles of more global climate models as drivers, including their ability to simulate the input in downscaling models. Comparison between future statistical downscaled climate signals and those derived from dynamical downscaling driven by the same global model, including a complex validation of the regional climate models, gives a measure of the reliability of downscaled regional climate changes.
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Lixinski, Lucas. International Heritage Law for Communities. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198843306.001.0001.

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This book critically engages the shortcomings of the field of international heritage law, seen through the lenses of the five major UNESCO treaties for the safeguarding of different types of heritage. It argues that these five treaties have, by design or in their implementation, effectively prevented local communities, who bear the brunt of the costs associated with international heritage protection, from having a say in how their heritage is managed. The exclusion of local communities often alienates them not only from international decision-making processes but also from their cultural heritage itself, ultimately meaning that systems put in place for the protection of cultural heritage contribute to its disappearance in the long term. The book adds to existing literature by looking at these UNESCO treaties not as isolated regimes, which is the common practice in the field, but rather as belonging to a discursive continuum on cultural heritage. Rather than scrutinizing the regimes themselves, the book focuses on themes that cut across the relevant UNESCO regimes, such as the use of expert rule in international heritage law, economics, and the relationship between heritage and the environment. It uses this mechanism to highlight the blind spots and unintended consequences of UNESCO treaties and how choices made in their drafting have continuing and potentially negative impacts on how we think about and safeguard heritage. The book is of interest to cultural heritage scholars and practitioners across all disciplines, as well as to international lawyers interested in the dynamics of fragmented subfields.
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48

Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices Ams Special Session Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices January 67 2012 Boston Ma. American Mathematical Society, 2013.

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