The Theory of Scale Relativity∗
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CNPEM – Campus Map
1 2 CNPEM – Campus Map 3 § SUMMARY 11 Presentation 12 Organizers | Scientific Committee 15 Program 17 Abstracts 18 Role of particle size, composition and structure of Co-Ni nanoparticles in the catalytic properties for steam reforming of ethanol addressed by X-ray spectroscopies Adriano H. Braga1, Daniela C. Oliveira2, D. Galante2, F. Rodrigues3, Frederico A. Lima2, Tulio R. Rocha2, 4 1 1 R. J. O. Mossanek , João B. O. Santos and José M. C. Bueno 19 Electro-oxidation of biomass derived molecules on PtxSny/C carbon supported nanoparticles A. S. Picco,3, C. R. Zanata,1 G. C. da Silva,2 M. E. Martins4, C. A. Martins5, G. A. Camara1 and P. S. Fernández6,* 20 3D Studies of Magnetic Stripe Domains in CoPd Multilayer Thin Films Alexandra Ovalle1, L. Nuñez1, S. Flewett1, J. Denardin2, J.Escrigr2, S. Oyarzún2, T. Mori3, J. Criginski3, T. Rocha3, D. Mishra4, M. Fohler4, D. Engel4, C. Guenther5, B. Pfau5 and S. Eisebitt6. 1 21 Insight into the activity of Au/Ti-KIT-6 catalysts studied by in situ spectroscopy during the epoxidation of propene reaction A. Talavera-López *, S.A. Gómez-Torres and G. Fuentes-Zurita 22 Nanosystems for nasal isoniazid delivery: small-angle x-ray scaterring (saxs) and rheology proprieties A. D. Lima1, K. R. B. Nascimento1 V. H. V. Sarmento2 and R. S. Nunes1 23 Assembly of Janus Gold Nanoparticles Investigated by Scattering Techniques Ana M. Percebom1,2,3, Juan J. Giner-Casares1, Watson Loh2 and Luis M. Liz-Marzán1 24 Study of the morphology exhibited by carbon nanotube from synchrotron small angle X-ray scattering 1 2 1 1 Ana Pacheli Heitmann , Iaci M. -
Music Similarity: Learning Algorithms and Applications
UC San Diego UC San Diego Electronic Theses and Dissertations Title More like this : machine learning approaches to music similarity Permalink https://escholarship.org/uc/item/8s90q67r Author McFee, Brian Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO More like this: machine learning approaches to music similarity A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Brian McFee Committee in charge: Professor Sanjoy Dasgupta, Co-Chair Professor Gert Lanckriet, Co-Chair Professor Serge Belongie Professor Lawrence Saul Professor Nuno Vasconcelos 2012 Copyright Brian McFee, 2012 All rights reserved. The dissertation of Brian McFee is approved, and it is ac- ceptable in quality and form for publication on microfilm and electronically: Co-Chair Co-Chair University of California, San Diego 2012 iii DEDICATION To my parents. Thanks for the genes, and everything since. iv EPIGRAPH I’m gonna hear my favorite song, if it takes all night.1 Frank Black, “If It Takes All Night.” 1Clearly, the author is lamenting the inefficiencies of broadcast radio programming. v TABLE OF CONTENTS Signature Page................................... iii Dedication...................................... iv Epigraph.......................................v Table of Contents.................................. vi List of Figures....................................x List of Tables................................... -
MODULE 11: GLOSSARY and CONVERSIONS Cell Engines
Hydrogen Fuel MODULE 11: GLOSSARY AND CONVERSIONS Cell Engines CONTENTS 11.1 GLOSSARY.......................................................................................................... 11-1 11.2 MEASUREMENT SYSTEMS .................................................................................. 11-31 11.3 CONVERSION TABLE .......................................................................................... 11-33 Hydrogen Fuel Cell Engines and Related Technologies: Rev 0, December 2001 Hydrogen Fuel MODULE 11: GLOSSARY AND CONVERSIONS Cell Engines OBJECTIVES This module is for reference only. Hydrogen Fuel Cell Engines and Related Technologies: Rev 0, December 2001 PAGE 11-1 Hydrogen Fuel Cell Engines MODULE 11: GLOSSARY AND CONVERSIONS 11.1 Glossary This glossary covers words, phrases, and acronyms that are used with fuel cell engines and hydrogen fueled vehicles. Some words may have different meanings when used in other contexts. There are variations in the use of periods and capitalization for abbrevia- tions, acronyms and standard measures. The terms in this glossary are pre- sented without periods. ABNORMAL COMBUSTION – Combustion in which knock, pre-ignition, run- on or surface ignition occurs; combustion that does not proceed in the nor- mal way (where the flame front is initiated by the spark and proceeds throughout the combustion chamber smoothly and without detonation). ABSOLUTE PRESSURE – Pressure shown on the pressure gauge plus at- mospheric pressure (psia). At sea level atmospheric pressure is 14.7 psia. Use absolute pressure in compressor calculations and when using the ideal gas law. See also psi and psig. ABSOLUTE TEMPERATURE – Temperature scale with absolute zero as the zero of the scale. In standard, the absolute temperature is the temperature in ºF plus 460, or in metric it is the temperature in ºC plus 273. Absolute zero is referred to as Rankine or r, and in metric as Kelvin or K. -
Laurent Nottale CNRS LUTH, Paris-Meudon Observatory Scales in Nature
Laurent Nottale CNRS LUTH, Paris-Meudon Observatory http://www.luth.obspm.fr/~luthier/nottale/ Scales in nature 1 10 -33 cm Planck scale 10 -28 cm Grand Unification 10 10 accelerators: today's limit 10 -16 cm electroweak unification 20 10 3 10 -13 cm quarks 4 10 -11 cm electron Compton length 1 Angstrom Bohr radius atoms 30 virus 10 40 microns bacteries 1 m human scale 40 10 6000 km Earth radius 700000 km Sun radius 1 millard km Solar System 50 10 1 parsec distances to Stars 10 kpc Milky Way radius 1 Mpc Clusters of galaxies 60 100 Mpc very large structures 10 28 10 cm Cosmological scale Scales of living systems Relations between length-scales and mass- scales l/lP = m/mP (GR) l/lP = mP / m (QM) FIRST PRINCIPLES RELATIVITY COVARIANCE EQUIVALENCE weak / strong Action Geodesical CONSERVATION Noether SCALE RELATIVITY Continuity + Giving up the hypothesis Generalize relativity of differentiability of of motion ? space-time Transformations of non- differentiable coordinates ? …. Theorem Explicit dependence of coordinates in terms of scale variables + divergence FRACTAL SPACE-TIME Complete laws of physics by fundamental scale laws Constrain the new scale laws… Principle of scale relativity Generalized principle Scale covariance of equivalence Linear scale-laws: “Galilean” Linear scale-laws : “Lorentzian” Non-linear scale-laws: self-similarity, varying fractal dimension, general scale-relativity, constant fractal dimension, scale covariance, scale dynamics, scale invariance invariant limiting scales gauge fields Continuity + Non-differentiability -
New Formulation of Stochastic Mechanics. Application to Chaos
1 NEW FORMULATION OF STOCHASTIC MECHANICS. APPLICATION TO CHAOS by Laurent NOTTALE CNRS, Observatoire de Paris-Meudon (DAEC) 5, place Janssen, F-92195 Meudon Cedex, France 1. Introduction 2. Basic Formalism 3. Generalization to Variable Diffusion Coefficient 3.1. Fractal dimension different from 2 3.2. Position-dependent diffusion coefficient 4. Application to Celestial Mechanics 4.1. Distribution of eccentricities of planets 4.2. Distribution of planet distances 4.3. Distribution of mass in the solar system 4.4. Distribution of angular momentum 5. Discussion and Conclusion References Nottale, L., 1995, in "Chaos and diffusion in Hamiltonian systems", Proceedings of the fourth workshop in Astronomy and Astrophysics of Chamonix (France), 7-12 February 1994, Eds. D. Benest et C. Froeschlé (Editions Frontières), pp 173-198. 2 Nouvelle formulation de la mécanique stochastique Application au chaos résumé Nous développons une nouvelle méthode pour aborder le problème de l’émergence de structures telle qu'on peut l'observer dans des systèmes fortement chaotiques. Cette méthode s’applique précisément quand les autres méthodes échouent (au delà de l’horizon de prédictibilité), c’est à dire sur les très grandes échelles de temps. Elle consiste à remplacer la description habituelle (en terme de trajectoires classiques déterminées) par une description stochastique, approchée, en terme de familles de chemins non différentiables. Nous obtenons ainsi des équations du type de celles de la mécanique quantique (équation de Schrödinger généralisée) dont les solutions impliquent une structuration spatiale décrite par des pics de densité de probabilité. Après avoir rappelé notre formalisme de base, qui repose sur un double processus de Wiener à coefficient de diffusion constant (ce qui correspond à des trajectoires de dimension fractale 2), nous le généralisons à des dimensions fractales différentes puis à un coefficient de diffusion dépendant des coordonnées mais lentement variable. -
Thermodynamics Introduction and Basic Concepts
Thermodynamics Introduction and Basic Concepts by Asst. Prof. Channarong Asavatesanupap Mechanical Engineering Department Faculty of Engineering Thammasat University 2 What is Thermodynamics? Thermodynamics is the study that concerns with the ways energy is stored within a body and how energy transformations, which involve heat and work, may take place. Conservation of energy principle , one of the most fundamental laws of nature, simply states that “energy cannot be created or destroyed” but energy can change from one form to another during an energy interaction, i.e. the total amount of energy remains constant. 3 Thermodynamic systems or simply system, is defined as a quantity of matter or a region in space chosen for study. Surroundings are physical space outside the system boundary. Surroundings System Boundary Boundary is the surface that separates the system from its surroundings 4 Closed, Open, and Isolated Systems The systems can be classified into (1) Closed system consists of a fixed amount of mass and no mass may cross the system boundary. The closed system boundary may move. 5 (2) Open system (control volume) has mass as well as energy crossing the boundary, called a control surface. Examples: pumps, compressors, and water heaters. 6 (3) Isolated system is a general system of fixed mass where no heat or work may cross the boundaries. mass No energy No An isolated system is normally a collection of a main system and its surroundings that are exchanging mass and energy among themselves and no other system. 7 Properties of a system Any characteristic of a system is called a property. -
Arxiv:1904.05739V1 [Physics.Gen-Ph] 31 Mar 2019 Fisidvda Constituents
Riccati equations as a scale-relativistic gateway to quantum mechanics Saeed Naif Turki Al-Rashid∗ Physics Department, College of Education for Pure Sciences, University Of Anbar, Ramadi, Iraq Mohammed A.Z. Habeeb† Department of Physics, College of Science, Al-Nahrain University, Baghdad, Iraq Stephan LeBohec‡ Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112-0830, USA (Dated: April 12, 2019) Abstract Applying the resolution-scale relativity principle to develop a mechanics of non-differentiable dynamical paths, we find that, in one dimension, stationary motion corresponds to an Itˆoprocess driven by the solutions of a Riccati equation. We verify that the corresponding Fokker-Planck equation is solved for a probability density corresponding to the squared modulus of the solution of the Schr¨odinger equation for the same problem. Inspired by the treatment of the one-dimensional case, we identify a generalization to time dependent problems in any number of dimensions. The Itˆoprocess is then driven by a function which is identified as establishing the link between non- differentiable dynamics and standard quantum mechanics. This is the basis for the scale relativistic arXiv:1904.05739v1 [physics.gen-ph] 31 Mar 2019 interpretation of standard quantum mechanics and, in the case of applications to chaotic systems, it leads us to identify quantum-like states as characterizing the entire system rather than the motion of its individual constituents. 1 I. INTRODUCTION Scale relativity was proposed by Laurent Nottale13,16,18 to extend the relativity principle to transformations of resolution-scales, which become additional relative attributes defin- ing reference frames with respect to one another. -
Charles AUFFRAY Laurent NOTTALE Systems Biology and Scale
Systems Biology and Scale Relativity Laboratoire Joliot Curie Ecole Normale Supérieure de Lyon March 2, 2011 Charles AUFFRAY [email protected] Laurent NOTTALE [email protected] Functional Genomics and Systems Biology for Health CNRS Institute of Biological Sciences - Villejuif Laboratory Universe and Theories CNRS - Paris-Meudon Observatory - Paris Diderot University Definitions of Integrative Systems Biology Integrative: interconnection of elements and properties Systems: coherent set of components with emerging properties Biology: science of life (Lamarck 1809) Field studying interactions of biological systems components Antithesis of analytical reductionism Iterative research strategy combining modeling and experiments Multi- Inter- and trans-disciplinary community effort Origins of Systems Biology in William Harvey’s Masterpiece on the Movement of the Heart and the Blood in Animals Charles Auffray and Denis Noble (2009) Int. J. Mol. Sci. 2009, 10:1658-1669. Definitions for Integrative Systems Biology The (emergent) properties and dynamic behaviour of a biological system are different (more or less) than those of its interacting (elementary or modular) components Combine discovery and hypothesis, data and question driven inquiries to identify the features necessary and sufficient to understand (explain and predict) the behaviour of biological systems under normal (physiological) or perturbed (environmental, disease or experimental) conditions Biology triggers technology development for accurate and inexpensive global measurements (nanotechnology, microfluidics, grid and high-performance computing) Models are (more or less abstract and accurate) representations The Theoretical Framework of Systems Biology Self-organized living systems: conjunction of a stable organization with chaotic fluctuations in biological space-time Auffray C, Imbeaud S, Roux-Rouquié M and Hood L (2003) Philos. -