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1

Jana, Björn, ed. Nonlinear potential theory on metric spaces. Zürich, Switzerland: European Mathematical Society, 2011.

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2

Tero, Kilpeläinen, and Martio O, eds. Nonlinear potential theory of degenerate elliptic equations. Oxford: Clarendon Press, 1993.

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3

Turesson, Bengt Ove. Nonlinear Potential Theory and Weighted Sobolev Spaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/bfb0103908.

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4

Mikkonen, Pasi. On the Wolff potential and quasilinear elliptic equations involving measures. Helsinki: Suomalainen Tiedeakatemia, 1996.

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5

Nonlinear Evolution Equations and Potential Theory. Springer, 2012.

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6

Kral, J. Nonlinear Evolution Equations and Potential Theory. Springer, 2011.

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7

Martio, Olli, Juha Heinonen, and Tero Kipelainen. Nonlinear Potential Theory of Degenerate Elliptic Equations. Dover Publications, Incorporated, 2018.

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8

Turesson, Bengt O. Nonlinear Potential Theory and Weighted Sobolev Spaces. Springer, 2000.

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9

Turesson, Bengt O. Nonlinear Potential Theory and Weighted Sobolev Spaces. Springer, 2014.

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10

Nonlinear Potential Theory of Degenerate Elliptic Equations. Dover Publications, 2006.

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11

Kuo-Yen, Szema, and Langley Research Center, eds. Nonlinear potential analysis techniques for supersonic aerodynamic design. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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12

Center, Langley Research, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Nonlinear aerodynamic wing design. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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13

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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14

Horing, Norman J. Morgenstern. Superfluidity and Superconductivity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0013.

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Chapter 13 addresses Bose condensation in superfluids (and superconductors), which involves the field operator ψ‎ having a c-number component (<ψ(x,t)>≠0), challenging number conservation. The nonlinear Gross-Pitaevskii equation is derived for this condensate wave function<ψ>=ψ−ψ˜, facilitating identification of the coherence length and the core region of vortex motion. The noncondensate Green’s function G˜1(1,1′)=−i<(ψ˜(1)ψ˜+(1′))+> and the nonvanishing anomalous correlation function F˜∗(2,1′)=−i<(ψ˜+(2)ψ˜+(1′))+> describe the dynamics and elementary excitations of the non-condensate states and are discussed in conjunction with Landau’s criterion for viscosity. Associated concepts of off-diagonal long-range order and the interpretation of <ψ> as a superfluid order parameter are also introduced. Anderson’s Bose-condensed state, as a phase-coherent wave packet superposition of number states, resolves issues of number conservation. Superconductivity involves bound Cooper pairs of electrons capable of Bose condensation and superfluid behavior. Correspondingly, the two-particle Green’s function has a term involving a product of anomalous bound-Cooper-pair condensate wave functions of the type F(1,2)=−i<(ψ(1)ψ(2))+>≠0, such that G2(1,2;1′,2′)=F(1,2)F+(1′,2′)+G˜2(1,2;1′,2′). Here, G˜2 describes the dynamics/excitations of the non-superfluid-condensate states, while nonvanishing F,F+ represent a phase-coherent wave packet superposition of Cooper-pair number states and off-diagonal long range order. Employing this form of G2 in the G1-equation couples the condensed state with the non-condensate excitations. Taken jointly with the dynamical equation for F(1,2), this leads to the Gorkov equations, encompassing the Bardeen–Cooper–Schrieffer (BCS) energy gap, critical temperature, and Bogoliubov-de Gennes eigenfunction Bogoliubons. Superconductor thermodynamics and critical magnetic field are discussed. For a weak magnetic field, the Gorkov-equations lead to Ginzburg–Landau theory and a nonlinear Schrödinger-like equation for the pair wave function and the associated supercurrent, along with identification of the Cooper pair density. Furthermore, Chapter 13 addresses the apparent lack of gauge invariance of London theory with an elegant variational analysis involving re-gauging the potentials, yielding a manifestly gauge invariant generalization of the London equation. Consistency with the equation of continuity implies the existence of Anderson’s acoustic normal mode, which is supplanted by the plasmon for Coulomb interaction. Type II superconductors and the penetration (and interaction) of quantized magnetic flux lines are also discussed. Finally, Chapter 13 addresses Josephson tunneling between superconductors.
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15

Hansen, Bethanie L. Teaching Music Appreciation Online. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190698379.001.0001.

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In this book, readers will learn practical tips and strategies to teach music appreciation online. As online education is a growing field, an increasing number of teachers trained in traditional/live methods find themselves now teaching online and potentially without mentors to assist them. Students are also changing, seeking highly engaged, relevant, and interactive learning opportunities that connect to their lives. Here, readers will find helpful guidance in planning curriculum; integrating multimedia assets; designing forum discussions; developing assignments; preparing rubrics; engaging in forum discussions; preparing, managing, and teaching the course; providing feedback and grading; and following up with struggling and challenging students. The book can serve as a resource to those already teaching music appreciation online or as a comprehensive guide to those new to the field. Additionally, it may serve as a resource to instructors in other disciplines who seek to shift live courses to the online format, as well as music appreciation instructors who would like to integrate digital or online components into traditional face-to-face courses. The book is organized into five major sections, designed to guide the novice online educator in-depth while also appealing to the seasoned veteran through the ability to review each section as a stand-alone resource. Although some readers will desire to read from cover to cover, they will also be able to move in a nonlinear manner from chapter to chapter, using chapters in modular form, in order to benefit from the sections that most apply to them at any given time.
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