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Books on the topic 'Diffusion multiple Diffusion multiple'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Petersen, William B. Inpuff 2.0--a multiple source Gaussian puff dispersion algorithm user's guide. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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2

Petersen, William B. Inpuff 2.0--a multiple source Gaussian puff dispersion algorithm user's guide. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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3

Petersen, William B. Inpuff 2.0--a multiple source Gaussian puff dispersion algorithm user's guide. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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4

Petersen, William B. Inpuff 2.0--a multiple source Gaussian puff dispersion algorithm user's guide. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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5

Petersen, William B. Inpuff 2.0--a multiple source Gaussian puff dispersion algorithm user's guide. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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6

Turner, D. Bruce. TUPOS: A multiple source Gaussian dispersion algorithm using on-site turbulence data. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1986.

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7

Turner, D. Bruce. TUPOS: A multiple source Gaussian dispersion algorithm using on-site turbulence data. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1986.

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8

Parker, Philip M. A study of price elasticity dynamics using parsimonious replacement/multiple purchase diffusion models. Fontainebleau: INSEAD, 1991.

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9

Phoenix, Robert Michael. Characterisation of multiple metal ion-ligand interactions of biological significance using diffusion parameters. Wolverhampton: University of Wolverhampton, 1997.

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10

Intersensory facilitation: Race, superposition, and diffusion models for reaction time to multiple stimuli. Frankfurt am Main: Peter Lang, 1992.

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11

Brem, Alexander, and Tugrul U. Daim. Managing Medical Technological Innovations: Exploring Multiple Perspectives. World Scientific Publishing Co Pte Ltd, 2020.

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12

Zhang, Qiongshan. Fundamental studies of atomic diffusion by computer simulation of atomic processes on the giga event scale and multiple PC's in parallel. 1992.

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13

Blaney, Justin. Innovation and Influence: How individuals and organizations make use of multiple network structures to increase creativity and diffusion. CreateSpace Independent Publishing Platform, 2016.

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14

Fleming, Sean W. Single and multiple rates of nonequilibrium diffusive mass transfer at the laboratory, field, and regional scales in the Culebra Member of the Rustler Formation, New Mexico. 1998.

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15

Konrad, Kerstin, Adriana Di Martino, and Yuta Aoki. Brain volumes and intrinsic brain connectivity in ADHD. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0006.

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Neuroimaging studies have increased our understanding of the neurobiological underpinnings of ADHD. Structural brain imaging studies demonstrate widespread changes in brain volumes, in particular in frontal-striatal-cerebellar networks. Based on the widespread nature of structural and functional brain abnormalities, approaches able to capture the organizing principles of large-scale neural systems have been used in ADHD. These include diffusion magnetic resonance imaging (MRI) and resting state functional MRI (R-fMRI). Complementary to findings of volumetric studies, diffusion investigations have reported structural connectivity abnormalities in frontal-striatal-cerebellar networks. In parallel, R-fMRI studies point towards abnormalities in the interaction of multiple networks, extending the functional territory of explorations beyond cognitive and motor control. In the future, a deep phenotypic characterization beyond diagnostic categories combined with longitudinal study designs and novel analytical approaches will accelerate the pace towards clinical translations of neuroimaging to improve the detection and prediction of neural trajectories and treatment response in ADHD.

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16

Aikhenvald, Alexandra Y. Tariana, an Arawak Language from North-West Amazonia. Edited by Michael Fortescue, Marianne Mithun, and Nicholas Evans. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199683208.013.41.

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Tariana, the only Arawak language spoken in the Vaupés River Basin linguistic area, has developed numerous polysynthetic patterns, as a result of areal diffusion neighbouring East Tucanoan languages. Tariana is spoken in a situation of obligatory societal multilingualism, based on linguistic exogamy. Special features of Tariana shared with other polysynthetic languages include variable order of morphemes, ‘recursive affixing’ (similar to Eskimo-Aleut languages), templatic structures of nouns and verbs, and multiple serial verb constructions which behave as single word structures with respect to derivational processes. Most of these patterns are absent from Baniwa and other closely related Arawak languages, and also from one of the two extant dialects of Tariana under strong influence from Baniwa.

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17

Kucinskas, Jaime. The Contemplative Elite and Capitalism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190881818.003.0001.

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This chapter introduces the contemplative mindfulness movement, its successes in legitimizing and popularizing mindful meditation, and its shortcomings. This case demonstrates how elite movements can initiate widespread cultural change by combining elements of social movement mobilization, institutional entrepreneurship, field theory, and cultural diffusion. Investigating the contemplatives sheds light on how a movement can support elites’ cultural pet projects across multiple powerful institutional fields. This approach to cultural change is particularly efficacious for elites’ and professionals’ initiatives for social reform, as they can draw upon their social networks, institutional resources, and symbolic power to advance their causes in the course of their everyday lives at work. While such movements may succeed in spreading compelling new cultures, they may struggle to initiate deeper structural social reforms.

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18

Passaro, Antony, Foteini Christidi, Vasiliki Tsirka, and Andrew C. Papanicolaou. White Matter Connectivity. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.5.

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The applications of diffusion tensor imaging (DTI) have increased considerably among both normal and diverse neuropsychiatric populations in recent years. In this chapter, the authors examine the contributions of DTI in identifying profiles of trait-specific connectivity in several groups defined in terms of gender, age, handedness, and general intelligence. Additionally, the DTI literature is reviewed across a range of neurodegenerative disorders including Alzheimer’s disease, mild cognitive impairment, frontotemporal dementia, Parkinson disease, multiple sclerosis, and acquired neurological disorders resulting from neuronal injury such as traumatic brain injury, aphasia, agnosia, amnesia, and apraxia. DTI metrics sensitive to psychiatric disorders encompassing obsessive-compulsive disorder, depression, bipolar disorder, schizophrenia, and alcoholism are reviewed. Future uses of DTI as a promising means of confirming diagnoses and identifying in vivo early microstructural changes of patients’ clinical symptoms are discussed.

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19

Prescott, Tony J., and Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.

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This chapter explores how principles underlying natural evo-devo (evolution and development) continue to inspire the design of artificial systems from models of cell growth through to simulated three-dimensional evolved creatures. Research on biological evolvability shows that phenotypic outcomes depend on multiple interactions across different organizational levels—the adult organism is the outcome of a series of genetic cascades modulated in time and space by the wider embryological, bodily, and environmental context. This chapter reviews evo-devo principles discovered in biology and explores their potential for improving the evolvability of artificial systems. Biological topics covered include adaptive, selective, and generative mechanisms, and the role of epigenetic processes in creating phenotypic diversity. Modeling approaches include L-systems, Boolean networks, reaction-diffusion processes, genetic algorithms, and artificial embryogeny. A particular focus is on the evolution and development of the mammalian brain and the possibility of designing, using synthetic evo-devo approaches, brain-like control architectures for biomimetic robots.

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20

Certoma, Chiara, Susan Noori, and Martin Sondermann, eds. Urban gardening and the struggle for social and spatial justice. Manchester University Press, 2019. http://dx.doi.org/10.7228/manchester/9781526126092.001.0001.

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It is increasingly clear that, alongside the spectacular forms of justice activism, the actually existing just city outcomes from different everyday practices of performative politics that produce transformative trajectories and alternative realities in response to particular injustices in situated contexts. The massive diffusion of urban gardening practices (including allotments, community gardens, guerrilla gardening and the multiple, inventive forms of gardening the city) deserve a special attention as experiential learning and in-becoming responses to spatial politics, able to articulate different forms of power and resistance to current state of unequal distribution of benefits and burdens in the urban space. While advancing their socio-environmental claims, urban gardeners makes evident that the physical disposition of living beings and non-living things can both determine and perpetuate injustices or create justice spaces. In so doing, urban gardeners question the inequality-biased structuring and functioning of social formations (most notably urban deprivation, lack of public decision and engagement, and marginalization processes); and conversely create (or allow the creation of) spaces of justice in contemporary cities. This book presents a selection of contributions investigating the possibility and capability of urban gardeners to effectively tackling with spatial injustice; and it offers the readers a sound theoretically-grounded reflections on the topic. Building upon on-the-field experiences in European cities, it presents a wide range of engaged scholarly researches that investigate whether, how and to what extend urban gardening is able to contrast inequalities and disparities in living conditions.

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21

Bianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.

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Multilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; spreading of diseases, opinions and ideas might take advantage of multilayer network topology and spread even when its single layers cannot sustain an epidemic when taken in isolation; diffusion on multilayer transportation networks can significantly speed up with respect to diffusion on single layers; finally, the interplay between multiplexity and controllability of multilayer networks is a problem with major consequences in financial, transportation, molecular biology and brain networks. This field is one of the most prosperous recent developments of Network Science and Data Science. Multilayer networks include multiplex networks, multi-slice temporal networks, networks of networks, interdependent networks. Multilayer networks are characterized by having a highly correlated multilayer network structure, providing a significant advantage for extracting information from them using multilayer network measures and centralities and community detection methods. The multilayer network dynamics (including percolation, epidemic spreading, diffusion, synchronization, game theory and control) is strongly affected by the multilayer network topology. This book will present a comprehensive account of this emerging field.

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22

Furst, Eric M., and Todd M. Squires. Light scattering microrheology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199655205.003.0005.

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The fundamentals and best practices of passive microrheology using dynamic light scattering and diffusing wave spectroscopy are discussed. The principles of light scattering are introduced and applied in both the single and multiple scattering regimes, including derivations of the light and field autocorrelation functions. Applications to high-frequency microrheology and polymer dynamics are presented, including inertial corrections. Methods to treat gels and other non-ergodic samples, including multi-speckle and optical mixing designs are discussed. Dynamic light scattering (DLS) is a well established method for measuring the motion of colloids, proteins and macromolecules. Light scattering has several advantages for microrheology, especially given the availability of commercial instruments, the relatively large sample volumes that average over many probes, and the sensitivity of the measurement to small particle displacements, which can extend the range of length and timescales probed beyond those typically accessed by the methods of multiple particle tracking and bulk rheology.

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23

Its, Alexander R. Random matrix theory and integrable systems. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.10.

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This article discusses the interaction between random matrix theory (RMT) and integrable theory, leading to ordinary and partial differential equations (PDEs) for the eigenvalue distribution of random matrix models of size n and the transition probabilities of non-intersecting Brownian motion models, for finite n and for n → ∞. It first provides an overview of the connection between the theory of orthogonal polynomials and the KP-hierarchy in integrable systems before examining matrix models and the Virasoro constraints. It then considers multiple orthogonal polynomials, taking into account non-intersecting Brownian motions on ℝ (Dyson’s Brownian motions), a moment matrix for several weights, Virasoro constraints, and a PDE for non-intersecting Brownian motions. It also analyses critical diffusions, with particular emphasis on the Airy process, the Pearcey process, and Airy process with wanderers. Finally, it describes the Tacnode process, along with kernels and p-reduced KP-hierarchy.

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24

Douglas, Kenneth. Bioprinting. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190943547.001.0001.

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Abstract: This book describes how bioprinting emerged from 3D printing and details the accomplishments and challenges in bioprinting tissues of cartilage, skin, bone, muscle, neuromuscular junctions, liver, heart, lung, and kidney. It explains how scientists are attempting to provide these bioprinted tissues with a blood supply and the ability to carry nerve signals so that the tissues might be used for transplantation into persons with diseased or damaged organs. The book presents all the common terms in the bioprinting field and clarifies their meaning using plain language. Readers will learn about bioink—a bioprinting material containing living cells and supportive biomaterials. In addition, readers will become at ease with concepts such as fugitive inks (sacrificial inks used to make channels for blood flow), extracellular matrices (the biological environment surrounding cells), decellularization (the process of isolating cells from their native environment), hydrogels (water-based substances that can substitute for the extracellular matrix), rheology (the flow properties of a bioink), and bioreactors (containers to provide the environment cells need to thrive and multiply). Further vocabulary that will become familiar includes diffusion (passive movement of oxygen and nutrients from regions of high concentration to regions of low concentration), stem cells (cells with the potential to develop into different bodily cell types), progenitor cells (early descendants of stem cells), gene expression (the process by which proteins develop from instructions in our DNA), and growth factors (substances—often proteins—that stimulate cell growth, proliferation, and differentiation). The book contains an extensive glossary for quick reference.

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25

Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

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Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

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26

RICHER-ROSSI, Francoise, and Stéphane PATIN, eds. L'art et la manière. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.9782813004093.

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Indéniable facteur d’attractivité et de richesse, le monde de la culture et de la création ne cesse de se diversifier et de monter en puissance, notamment grâce à la démocratisation d’internet et aux nouveaux modes d’accès numériques. Professionnels du monde de la culture et enseignants-chercheurs livrent leurs réflexions, constats et interrogations dans cet ouvrage collectif polarisé autour de deux objets complémentaires – la médiation culturelle et la communication – qui permettent de mettre en lumière autant de moyens de créer, de représenter, de promouvoir, de diffuser la culture sous toutes ses formes dans un contexte national et international, et aussi, de la protéger. Les contributions s’imbriquent, se complètent, favorisant un ensemble d’interactions tant le travail des auteurs participe à la fois de la création et de la médiation et tant l’art doit compter avec le politique et considérer objectifs éducatifs et paramètres économiques. L’année 2020 et la pandémie due à la Covid 19 ont malmené le secteur culturel, entraînant de multiples fermetures ; dans le même temps, se sont mises en place des propositions alternatives. Les libraires, véritables médiateurs culturels, ont reçu l’appui du public. Les musées et les institutions culturelles n’ont cessé de communiquer et d’offrir leurs collections à des visites virtuelles. Le numérique, qui accélère création et diffusion, apparaît comme un médium artistique et communicationnel privilégié. L’offre des plateformes de films et de séries a explosé et, si les échanges et manifestations en présentiel se réduisent, nul doute que les États ont besoin que les biens et les services culturels s’adaptent et se multiplient car les professionnels des arts, des spectacles, de la communication participent du soft power, contribuant au rayonnement des nations et à leur influence indirecte à travers leurs exportations commerciales et culturelles.

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