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Contrafacta, fricassées, timbres ou reprises, du Moyen Âge au xxe siècle, la chanson a toujours goûté le plaisir de la création seconde, pour mieux enchanter l’auditeur. Mais sontce seulement quelques récréations que ces compositions entées ? En montrant comment elles sont éclairées par et éclairent à leur tour la poétique de l’intertextualité, l’objet de cet ouvrage est de montrer la portée recréatrice de ces oeuvres entées. Ce parcours à travers les âges et les domaines linguistiques expose à la fois la vitalité des recherches cantologiques actuelles et celles des travaux sur la théorie de l’intertexte. Comme espace du topos et de la parole mémorielle, la chanson est, entre autres manifestations de la poésie orale, particulièrement perméable aux procédés d’emprunt, réemplois et réfections diverses qui caractérisent la poétique de l’intertextualité. Elle l’est même doublement : comme oeuvre, elle est formellement fondée sur les figures de récurrence ; comme espace générique, elle est le lieu privilégié de la tradition, comprise comme mode de transmission d’un message culturel dans un temps donné. Audelà du seul texte, le tissage sémiologique singulier du genre chanson fonctionne comme réceptacle particulier du discours autre et du discours de l’Autre : non seulement la chanson cite, réécrit, voire plagie textes et musiques, mais, chaque performance étant une autre oeuvre, elle investit le champ de la recréation par le jeu des réinterprétations. On a voulu questionner ici l’articulation entre ces présences « autres » et la corporéité de la voix transmise qui reste la visée du discours chansonnier.
tradition  transmission  interprétation  voix  chanson  intertextualité  oralité  poétique  réécriture  performance  timbre  contrafactum  fricassée  cantologie  mémoriel  récurrence
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The Special Issue on high grade serous ovarian cancer (HGSOC) and the contribution of the tumor microenviroment (TME) consists of reviews contributed by leaders in the OC field. As HGSOC metastases have a highly complex TME, there is an urgent need to better understand the TME in general, its distinct components in particular, and the role of the TME in the context of disease recurrence and development of chemoresistance. The Special Issue incorporates the current understanding of the different parts of thd TME components, including the cancer cells themselves, the cells surrounding the cancer cells or stromal cells, and the cells of the immune system, which are attracted to the site of metastases. In addition to these cells of the TME, the role of various cellular factors made by the cells of the TME are also the subject of the reviews. In addition, reviews in this Special Issue cover the complex relationships between the molecular mechanisms of HGSOC progression, including genomic, epigenomic and transcriptomic changes and changes in the immune cell landscape, as these may provide attractive new molecular targets for HGSOC therapy.
ovarian cancer  tumor microenvironment  metastasis  chemoresistance  recurrence  stroma  genomic  transcriptomic  epigenetics  cancer stem cells  fibroblasts  immune cells  immunotherapies
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More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. These forecasting models have resulted in an overreliance on the use of informal judgment and higher expenses when lacking the ability to determine data characteristics and patterns. The hybridization of optimization methods and superior evolutionary algorithms can provide important improvements via good parameter determinations in the optimization process, which is of great assistance to actions taken by energy decisionmakers.This book aimed to attract researchers with an interest in the research areas described above. Specifically, it sought contributions to the development of any hybrid optimization methods (e.g., quadratic programming techniques, chaotic mapping, fuzzy inference theory, quantum computing, etc.) with advanced algorithms (e.g., genetic algorithms, ant colony optimization, particle swarm optimization algorithm, etc.) that have superior capabilities over the traditional optimization approaches to overcome some embedded drawbacks, and the application of these advanced hybrid approaches to significantly improve forecasting accuracy.
hybrid models  optimization methodologies  evolutionary algorithms  support vector regression/support vector machines  general regression neural network  chaotic mapping mechanism  quantum computing mechanism  empirical mode decomposition  recurrence plot theory  energy forecasting
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This book contains various works presented at the Dynamics Days Latin America and the Caribbean (DDays LAC) 2018. Since its beginnings, a key goal of the DDays LAC has been to promote crossfertilization of ideas from different areas within nonlinear dynamics. On this occasion, the contributions range from experimental to theoretical research, including (but not limited to) chaos, control theory, synchronization, statistical physics, stochastic processes, complex systems and networks, nonlinear timeseries analysis, computational methods, fluid dynamics, nonlinear waves, pattern formation, population dynamics, ecological modeling, neural dynamics, and systems biology. The interested reader will find this book to be a useful reference in identifying groundbreaking problems in Physics, Mathematics, Engineering, and Interdisciplinary Sciences, with innovative models and methods that provide insightful solutions. This book is a mustread for anyone looking for new developments of Applied Mathematics and Physics in connection with complex systems, synchronization, neural dynamics, fluid dynamics, ecological networks, and epidemics.
local field potential  mean field models  coupled oscillators  theta neuron  synchrony  out of equilibrium system  neural network  synchronization  nonlinear dynamics  Markov processes  computational methods  epidemic models  complex systems  nonlinear dynamics  neural network  synchronization  suppression of synchronization  temporal aliasing effect  ecological methods  sampling rates  cyclic dynamics  predator–prey system  population biology  recurrence time  Slater’s theorem  Lyapunov exponent  point scatterer  annular billiard  reaction fronts  convection  diffusive instabilities  calcium signals  IP3Rs dsitribution  puffs  waves  stochastic processes  complex systems  selforganization  Dicke model  birthday problem  nonlinear dynamics  delay bifurcation  population dynamics
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This collection represents successful invited submissions from the papers presented at the 8th Annual Conference of Energy Economics and Management held in Beijing, China, 22–24 September 2017. With over 500 participants, the conference was cohosted by the Management Science Department of National Natural Science Foundation of China, the Chinese Society of Energy Economics and Management, and Renmin University of China on the subject area of “Energy Transition of China: Opportunities and Challenges”. The major strategies to transform the energy system of China to a sustainable model include energy/economic structure adjustment, resource conservation, and technology innovation. Accordingly, the conference and its associated publications encourage research to address the major issues faced in supporting the energy transition of China. Papers published in this collection cover the broad spectrum of energy economics issues, including building energy efficiency, industrial energy demand, public policies to promote new energy technologies, power system control technology, emission reduction policies in energyintensive industries, emission measurements of cities, energy price movement, and the impact of new energy vehicle.
coal supply chain  carbon emission  whole process  mining city  China  emission reduction mechanism research  China’s iron and steel industry  a twostage dynamic game  interregional product yield selection  widearea measurement system  FACTS devices  coordinated control  time delay  damping controllers  robustness  bioenergy technology  dynamic efficiency of public policy  export performance  panel data approach  electricity fluctuation  recurrence interval analysis  risk estimation  SWOT analysis  building energy efficiency  rural area  strategic planning  crude oil market  corn market  asymmetry  price discovery  vehicle ownership  Gompertz model  fuel demand
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This Special Issue focuses mainly on techniques and the relative formalism typical of numerical methods and therefore of numerical analysis, more generally. These fields of study of mathematics represent an important field of investigation both in the field of applied mathematics and even more exquisitely in the pure research of the theory of approximation and the study of polynomial relations as well as in the analysis of the solutions of the differential equations both ordinary and partial derivatives. Therefore, a substantial part of research on the topic of numerical analysis cannot exclude the fundamental role played by approximation theory and some of the tools used to develop this research. In this Special Issue, we want to draw attention to the mathematical methods used in numerical analysis, such as special functions, orthogonal polynomials, and their theoretical tools, such as Lie algebra, to study the concepts and properties of some special and advanced methods, which are useful in the description of solutions of linear and nonlinear differential equations. A further field of investigation is dedicated to the theory and related properties of fractional calculus with its adequate application to numerical methods.
risk assessment  numerical analysis  ignition hazard  effective field strength  offshore plant  Hamiltonian system  complex Lagrangian  Noether symmetries  first integrals  symplectic Runge–Kutta methods  effective order  partitioned rungekutta methods  symplecticity  hamiltonian systems  RungeKutta type methods  fourthorder ODEs  order conditions  Bseries  quadcolored trees  khypergeometric differential equations  nonhomogeneous  khypergeometric series  special function  general solution  Frobenius method  Chebyshev polynomials  pseudoChebyshev polynomials  recurrence relations  differential equations  composition properties  orthogonality properties  numerical analysis  heat generation  chemical reaction  thin needle  nanofluid  fourthorder  nonoscillatory solutions  oscillatory solutions  delay differential equations  particle accelerator  coupling impedance  dual integral equations  ClenshawCurtis quadrature  steepest descent method  logarithmic singularities  Cauchy singularity  highly oscillatory integrals  secondorder  nonoscillatory solutions  oscillatory solutions  delay differential equations  Fredholm integral equations  multiresolution analysis  unitary extension principle  oblique extension principle  Bsplines  wavelets  tight framelets  Swift–Hohenberg type of equation  surfaces  narrow band domain  closest point method  operator splitting method
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Renal cancer is a health problem of major concern worldwide. Although tyrosine kinase inhibitors and immune checkpoint blockade treatments, alone or in combination, are giving promising results, failures are quite frequent due to intratumor heterogeneity and to the acquisition of drug resistance. The spectrum of renal cell carcinoma subtypes is wide. Up to 70–80% of renal tumors are clear cell renal cell carcinomas, a clinically aggressive tumor subtype linked to VHL gene inactivation. Next in frequency, the papillary renal cell carcinoma category encompasses an intricate puzzle of classic and newly described entities with poorly defined limits, some of them pending definite clarification. Likewise, the chromophobe–oncocytoma duality, the socalled hybrid tumors and oncocytic neoplasms, remain to be well profiled. Finally, a growing list of very uncommon renal tumors linked to specific molecular signatures fulfill the current portrait of renal cell neoplasia. This Special Issue of Cancers regards RCC from very different perspectives, from the intimate basic mechanisms governing this disease to the clinical practice principles of their diagnoses and treatments. The interested reader will have the opportunity to contact with some of the most recent findings and will be updated with excellent reviews.
ghrelin  aurora A  MMP10  invasion  sarcomatoid  RCC  immunotherapy  checkpoint inhibitors  survival  PDL1  chronic kidney disease  nephrectomy  overall survival  recurrence free survival  renal cell carcinoma  statins  uric acid  intratumour heterogeneity  metastatic ccRCC  copy number alteration  mutation  gene expression  MiT family translocation renal cell carcinoma  Xp11 translocation renal cell carcinoma  t(6  11) translocation renal cell carcinoma  FISH  TFE3  TFEB  TFEBamplified renal cell carcinoma  renal cell carcinoma  immune checkpoint inhibitors  tyrosine kinase inhibitors  efficacy  toxicity  cytoreductive nephrectomy  Papillary renal cell carcinoma (pRCC)  proteome profiling  metabolome profiling  glutathione metabolism  metabolic reprogramming  IL4R?  IL13R?1  renal cell carcinoma  JAK2  FOXO3  clear cell renal cell carcinoma  identification of circular RNAs  experimental validation of circular RNA  diagnostic and prognostic markers  circular RNAs in a clinicogenomic predictive model  cancerspecific survival  recurrencefree survival  overall survival  chromophobe renal cell carcinoma  pale cell  eosinophilic variant  chromosomal loss  copy number analysis  renal cell carcinoma  clear cell renal cell carcinoma  AMPactivated protein kinases  immunohistochemistry  prognosis  SMAD proteins  transforming growth factor beta  renal cell cancer  microRNA  metabolome  proliferation  PPP  pentose phosphate pathway  TCA cycle  miR1555p  miR146a5p  TCGA  renal cell carcinoma  metastasis  MTA2  MMP9  miR133b  kidney cancer  immunotherapy  renal cell  inflammation markers  programmed deathligand 1  immune checkpoint inhibitors  prognostic factors  predictive factors  glutathione transferase omega 1  glutathione transferase omega 2  polymorphism  PI3K/Akt/mTOR  Raf/MEK/ERK  IL1?  proIL1?  gene signature  renal cancer  survival prediction  polybromo1  PBRM1  renal cell carcinoma  biomarker  prognosis  predictive role  collecting duct carcinoma  RNA sequencing  solute carrier proteins  kidney  renal cell carcinoma  molecular genetic features  practical approach  review  renal cell carcinoma  sarcomatoid  immunotherapy  renal cell carcinoma  checkpoint inhibitors  VEGF inhibitors  mTOR inhibitors  kidney  emerging entity  new entity  oncocytic renal tumor  unclassified renal cell carcinoma  unclassified renal tumor  anaplastic lymphoma kinase rearrangement  ALK  ESC  HOT  LOT  drug sensitivity  immune infiltration  renal cancer  targeted therapy  tumor slice culture  clear cell Renal Cell Carcinoma  urine  glycoproteomics  Nglycomapping  labelfree  glycomarkers  everolimus  EVI1  genetic association  mTOR  clear cell renal cell carcinoma  curcumin  renal cell cancer  tumor adhesion  tumor migration  integrins  NK cells  kidney cancer  renal cell carcinoma  IL2  cancer immunotherapy  tumor microenvironment  von Hippel–Lindau  EMT like  hyperosmolality  chromophobe renal cell carcinoma  copy number loss  CDKN1A expression  patient survival  prognosis  n/a
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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR
VehicletoX communications  Intelligent Transport Systems  VANET  DSRC  Geobroadcast  multisensor  fusion  deep learning  LiDAR  camera  ADAS  object tracking  kernel based MIL algorithm  Gaussian kernel  adaptive classifier updating  perception in challenging conditions  obstacle detection and classification  dynamic pathplanning algorithms  joystick  twowheeled  terrestrial vehicle  path planning  infinity norm  pnorm  kinematic control  navigation  actuation systems  maneuver algorithm  automated driving  cooperative systems  communications  interface  automatedmanual transition  driver monitoring  visual tracking  discriminative correlation filter bank  occlusion  subregion  global region  autonomous vehicles  driving decisionmaking model  the emergency situations  red lightrunning behaviors  ethical and legal factors  TS fuzzy neural network  road lane detection  map generation  driving assistance  autonomous driving  realtime object detection  autonomous driving assistance system  urban object detector  convolutional neural networks  machine vision  biological vision  deep learning  convolutional neural network  Gabor convolution kernel  recurrent neural network  enhanced learning  autonomous vehicle  crash injury severity prediction  support vector machine model  emergency decisions  relative speed  total vehicle mass of the front vehicle  perception in challenging conditions  obstacle detection and classification  dynamic pathplanning algorithms  drowsiness detection  smart band  electrocardiogram (ECG)  photoplethysmogram (PPG)  recurrence plot (RP)  convolutional neural network (CNN)  squeezeandexcitation  residual learning  depthwise separable convolution  blind spot detection  machine learning  neural networks  predictive  vehicle dynamics  electric vehicles  FPGA  GPU  parallel architectures  optimization  panoramic image dataset  road scene  object detection  deep learning  convolutional neural network  driverless  autopilot  deep leaning  object detection  generative adversarial nets  image inpainting  n/a
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Researches and investigations involving the theory and applications of integral transforms and operational calculus are remarkably widespread in many diverse areas of the mathematical, physical, chemical, engineering and statistical sciences.
highly oscillatory  convolution quadrature rule  volterra integral equation  Bessel kernel  convergence  higher order Schwarzian derivatives  Janowski starlike function  Janowski convex function  bound on derivatives  tangent numbers  tangent polynomials  Carlitztype qtangent numbers  Carlitztype qtangent polynomials  (p,q)analogue of tangent numbers and polynomials  (p,q)analogue of tangent zeta function  symmetric identities  zeros  Lommel functions  univalent functions  starlike functions  convex functions  inclusion relationships  analytic function  Hankel determinant  exponential function  upper bound  nonlinear boundary value problems  fractionalorder differential equations  RiemannStieltjes functional integral  LiouvilleCaputo fractional derivative  infinitepoint boundary conditions  advanced and deviated arguments  existence of at least one solution  Fredholm integral equation  Schauder fixed point theorem  Hölder condition  generalized Kuramoto–Sivashinsky equation  modified Kudryashov method  exact solutions  Maple graphs  analytic function  Hadamard product (convolution)  partial sum  Srivastava–Tomovski generalization of Mittag–Leffler function  subordination  differential equation  differential inclusion  Liouville–Caputotype fractional derivative  fractional integral  existence  fixed point  Bernoulli spiral  Grandi curves  Chebyshev polynomials  pseudoChebyshev polynomials  orthogonality property  symmetric  encryption  password  hash  cryptography  PBKDF  q–Bleimann–Butzer–Hahn operators  (p,q)integers  (p,q)Bernstein operators  (p,q)Bleimann–Butzer–Hahn operators  modulus of continuity  rate of approximation  Kfunctional  HurwitzLerch zeta function  generalized functions  analytic number theory  ?generalized HurwitzLerch zeta functions  derivative properties  series representation  basic hypergeometric functions  generating functions  qpolynomials  analytic functions  Mittag–Leffler functions  starlike functions  convex functions  Hardy space  vibrating string equation  initial conditions  spectral decomposition  regular solution  the uniqueness of the solution  the existence of a solution  analytic  ?convex function  starlike function  stronglystarlike function  subordination  q Sheffer–Appell polynomials  generating relations  determinant definition  recurrence relation  q Hermite–Bernoulli polynomials  q Hermite–Euler polynomials  q Hermite–Genocchi polynomials  Volterra integral equations  highly oscillatory Bessel kernel  Hermite interpolation  direct Hermite collocation method  piecewise Hermite collocation method  differential operator  qhypergeometric functions  meromorphic function  Mittag–Leffler function  Hadamard product  differential subordination  starlike functions  Bell numbers  radius estimate  (p, q)integers  Dunkl analogue  generating functions  generalization of exponential function  Szász operator  modulus of continuity  function spaces and their duals  distributions  tempered distributions  Schwartz testing function space  generalized functions  distribution space  wavelet transform of generalized functions  Fourier transform  analytic function  subordination  Dziok–Srivastava operator  nonlinear boundary value problem  nonlocal  multipoint  multistrip  existence  Ulam stability  functions of bounded boundary and bounded radius rotations  subordination  functions with positive real part  uniformly starlike and convex functions  analytic functions  univalent functions  starlike and qstarlike functions  qderivative (or qdifference) operator  sufficient conditions  distortion theorems  Janowski functions  analytic number theory  ?generalized Hurwitz–Lerch zeta functions  derivative properties  recurrence relations  integral representations  Mellin transform  natural transform  Adomian decomposition method  Caputo fractional derivative  generalized mittagleffler function  analytic functions  Hadamard product  starlike functions  qderivative (or qdifference) operator  Hankel determinant  qstarlike functions  fuzzy volterra integrodifferential equations  fuzzy general linear method  fuzzy differential equations  generalized Hukuhara differentiability  spectrum symmetry  DCT  MFCC  audio features  anuran calls  analytic functions  convex functions  starlike functions  strongly convex functions  strongly starlike functions  uniformly convex functions  Struve functions  truncatedexponential polynomials  monomiality principle  generating functions  Apostoltype polynomials and Apostoltype numbers  Bernoulli, Euler and Genocchi polynomials  Bernoulli, Euler, and Genocchi numbers  operational methods  summation formulas  symmetric identities  Euler numbers and polynomials  qEuler numbers and polynomials  HurwitzEuler eta function  multiple HurwitzEuler eta function  higher order qEuler numbers and polynomials  (p, q)Euler numbers and polynomials of higher order  symmetric identities  symmetry of the zero
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Emergent quantum mechanics explores the possibility of an ontology for quantum mechanics. The resurgence of interest in ""deeperlevel"" theories for quantum phenomena challenges the standard, textbook interpretation. The book presents expert views that critically evaluate the significance—for 21st century physics—of ontological quantum mechanics, an approach that David Bohm helped pioneer. The possibility of a deterministic quantum theory was first introduced with the original de BroglieBohm theory, which has also been developed as Bohmian mechanics. The wide range of perspectives that were contributed to this book on the occasion of David Bohm’s centennial celebration provide ample evidence for the physical consistency of ontological quantum mechanics. The book addresses deeperlevel questions such as the following: Is reality intrinsically random or fundamentally interconnected? Is the universe local or nonlocal? Might a radically new conception of reality include a form of quantum causality or quantum ontology? What is the role of the experimenter agent? As the book demonstrates, the advancement of ‘quantum ontology’—as a scientific concept—marks a clear break with classical reality. The search for quantum reality entails unconventional causal structures and nonclassical ontology, which can be fully consistent with the known record of quantum observations in the laboratory.
quantum foundations  nonlocality  retrocausality  Bell’s theorem  Bohmian mechanics  quantum theory  surrealistic trajectories  Bell inequality  quantum mechanics  generalized Lagrangian paths  covariant quantum gravity  emergent spacetime  Gaussianlike solutions  entropy and time evolution  resonances in quantum systems  the Friedrichs model  complex entropy.  Bell’s theorem  the causal arrow of time  retrocausality  superdeterminism  toymodels  quantum ontology  subquantum dynamics  microconstituents  emergent spacetime  emergent quantum gravity  entropic gravity  black hole thermodynamics  SternGerlach  trajectories  spin  Bell theorem  fractal geometry  padic metric  singular limit  gravity  conspiracy  free will  number theory  quantum potential  Feynman paths  weak values  Bohm theory  nohiddenvariables theorems  observables  measurement problem  Bohmian mechanics  primitive ontology  Retrocausation  weak values  Stochastic Electrodynamics  quantum mechanics  decoherence  interpretations  pilotwave theory  Bohmian mechanics  Born rule statistics  measurement problem  quantum thermodynamics  strong coupling  operator thermodynamic functions  quantum theory  de Broglie–Bohm theory  contextuality  atomsurface scattering  bohmian mechanics  matterwave optics  diffraction  vortical dynamics  Schrödinger equation  de Broglie–Bohm theory  nonequilibrium thermodynamics  zeropoint field  de Broglie–Bohm interpretation of quantum mechanics  pilot wave  interiorboundary condition  ultraviolet divergence  quantum field theory  Aharonov–Bohm effect  physical ontology  nomology  interpretation  gauge freedom  Canonical Presentation  relational space  relational interpretation of quantum mechanics  measurement problem  nonlocality  discrete calculus  iterant  commutator  diffusion constant  LeviCivita connection  curvature tensor  constraints  Kilmister equation  Bianchi identity  stochastic differential equations  Monte Carlo simulations  Burgers equation  Langevin equation  fractional velocity  interpretations of quantum mechanics  David Bohm  mind–body problem  quantum holism  fundamental irreversibility  spacetime fluctuations  spontaneous state reduction  Poincaré recurrence  symplectic camel  quantum mechanics  Hamiltonian  molecule interference  matterwaves  metrology  magnetic deflectometry  photochemistry  past of the photon  Mach–Zehnder interferometer  Dove prism  photon trajectory  weak measurement  transition probability amplitude  atomic metastable states  Bell’s theorem  Bohmian mechanics  nonlocality  many interacting worlds  wavefunction nodes  bouncing oil droplets  stochastic quantum dynamics  de Broglie–Bohm theory  quantum nonequilibrium  Htheorem  ergodicity  ontological quantum mechanics  objective nonsignaling constraint  quantum inaccessibility  epistemic agent  emergent quantum state  selfreferential dynamics  dynamical chaos  computational irreducibility  undecidable dynamics  Turing incomputability  quantum ontology  nonlocality  timesymmetry  retrocausality  quantum causality  conscious agent  emergent quantum mechanics  Bohmian mechanics  de BroglieBohm theory
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