cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
OA Book Usage Data Trust Rulebook Crosswalk
Creators: name: Drummond, Christina
Publisher: name: Zenodo
Year: 2023

description: This document is the first draft of a crosswalk that maps stakeholder-developed principles to International Data Space Rulebook sections.
description: This work was made possible through grant funding provided via the "OAeBU Data Trust: Advancing to Launch by Developing IDS Governance Building Blocks" project funded by The Mellon Foundation.
Comparison of Time Series Forecasting Models in Garlic's Wholesale Price
Creators: name: Lee, Hyungyong
name: Lee, Hyungyong
Publisher: name: Unknown
Year: 2017
Subjects: subject: Research Methods/ Statistical Methods
subject: garlic
subject: wholesale price forecasting
subject: time-series analysis

description: Garlic is an important seasoning vegetable that can not be excluded from Korean diet. Predicting its supply and demand situations and price is very important in terms of producer's income and consumer price stability. This study estimated the error correction model (ECM) and the Bayesian VAR model using time series price data of garlic. Also this study assessed the predictive power of the estimated model by performing the out-of-sample forecasts. All price data used in the analysis were identified as non-stationary time series data. There was a cointegration relationship between wholesale prices of whole bulbs of garlic and peeled garlic, so the error correction model and the Bayesian VAR model were estimated. Estimation results showed that predictive power of the models was pretty good and the error correction model had better predictive power than the Bayesian VAR model. The estimated garlic pricing models in this study are expected to contribute not only to the current price prediction model based on quantity forecasting but also to the efficiency of the model operation process.
Guideline on the exchange of specific assurance information between Infrastructures (AARC-G021)
Creators: name: AARC Consortium
name: AppInt Members
Publisher: name: Zenodo
Year: 2018
Subjects: Assurance Profiles
AARC
Infrastructure Proxy

description: Infrastructures and generic e-Infrastructures compose an ‘effective’ assurance profile derived from several sources, yet it is desirable to exchange the resulting assurance assertion obtained between Infrastructures so that it need not be re-computed by a recipient Infrastructure or Infrastructure service provider. This document describes the assurance profiles recommended to be used by the Infrastructure AAI Proxies between infrastructures: REFEDS RAF Cappuccino and Espresso, IGTF-BIRCH and IGTF-DOGWOOD, and a new specific profile addressing assurance partially derived from social-identity sources: AARC-Assam.
ENERGY SAVING CONTROL IN AD HOC WIRELESS NETWORKS
Creators: name: Tawfik, Benbella S.
name: El-Gazzar, Mohamed
Publisher: name: figshare
Year: 2022
Subjects: subject: 80602 Computer-Human Interaction
subject: FOS: Psychology
subject: 80103 Computer Graphics
subject: FOS: Computer and information sciences
subject: 170201 Computer Perception, Memory and Attention
subject: 80104 Computer Vision
subject: Theoretical Computer Science
subject: Applied Computer Science
subject: 80302 Computer System Architecture
subject: Computer Engineering
subject: Computer Software
subject: 80399 Computer Software not elsewhere classified
subject: 80303 Computer System Security
subject: 100699 Computer Hardware not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 100503 Computer Communications Networks

description: In this work, a new methodology is introduced for energy saving control problem in ad hoc wireless networks. The objective function is minimizing the variance of the power vector for the topology nodes. Inputs are given as a set of nodes in a plane, end-to-end traffic demands and delay bounds between node pairs, the problem is to find anoptimized routing that can meet the Quality of Service requirements and the variance of thepower vector for the nodes is minimized. The non-splitting case is considered. In this case the traffic demands are not splittable. The problem is formulated as an integer linear programmingproblem. An optimal algorithm has been proposed to solve the problem. The proposed model can be adopted for different topology with different request demands.
Shakespeare’s language and the contemporary cinema audience
Creators: name: Paterson, Ronan
Publisher: name: Roma : Carocci
Year: 2013
Subjects: Shakespeare
Language
Screen

description: Among the many difficulties which are encountered in realising the plays of Shakespeare for the screen, perhaps the greatest is the translation from a primarily verbal medium to a primarily visual one. The decisions made by filmmakers with regard to how much of Shakespeare’s language they chose to include or exclude, and the ways in which they use a visual language either as surrogate or enhancement, throw open areas of discussion which go to the very core of Shakespeare’s currency in contemporary culture. This article examines the differing approaches of a selection of filmmakers to the vexed question of making Shakespeare’s words work in the cinema. Furthermore, by drawing upon a range of examples from the early silent cinema to the modern multiplex the author asks how Shakespearean a film is when the words are not Shakespeare’s own.
Backreaction of Hawking Radiation on a Gravitationally Collapsing Star I: Black Holes?
Creators: name: Mersini-Houghton, Laura
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Particle creation leading to Hawking radiation is produced by the changing gravitational field of the collapsing star. The two main initial conditions in the far past placed on the quantum field from which particles arise, are the Hartle Hawking vacuum and the Unruh vacuum. The former leads to a time symmetric thermal bath of radiation, while the latter to a flux of radiation coming out of the collapsing star. The energy of Hawking radiation in the interior of the collapsing star is negative and equal in magnitude to its value at future infinity. This work investigates the backreaction of Hawking radiation on the interior of a gravitationally collapsing star, in a Hartle-Hawking initial vacuum. It shows that due to the negative energy Hawking radiation in the interior, the collapse of the star stops at a finite radius, before the singularity and the event horizon of a black hole have a chance to form. That is, the star bounces instead of collapsing to a black hole. A trapped surface near the last stage of the star's collapse to its minimum size may still exist temporarily. Its formation depends on the details of collapse. Results for the case of Hawking flux of radiation with the Unruh initial state, will be given in a companion paper II.
description: 8 pgs
title: Μέθοδοι εκτίμησης μέγιστης πιθανοφάνειας σε υποδείγματα ARMA(p,q): μια εμπειρική διερεύνηση
titleType: AlternativeTitle
Creators: name: Μπουρλιάκας, Θανάσης Θ.
Publisher: name: University of Thessaly
Year: 2011
Subjects: subject: ΠΡΟΒΛΕΨΕΙΣ
subject: ΜΕΘΟΔΟΣ MONTE CARLO
subject: ΠΡΟΣΟΜΟΙΩΣΗ, ΜΕΘΟΔΟΙ ΤΗΣ

description: Σημείωση: διατίθεται συμπληρωματικό υλικό σε ξεχωριστό αρχείο.
Ground-based Multiwavelength Observations of Comet 103P/Hartley 2
Creators: name: Gicquel, A.
name: Milam, S. N.
name: Villanueva, G. L.
name: Remijan, A. J.
name: Coulson, I. M.
name: Chuang, Y. -L.
name: Charnley, S. B.
name: Cordiner, M. A.
name: Kuan, Y. -J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: The Jupiter-family comet 103P/Hartley 2 (103P) was the target of the NASA EPOXI mission. In support of this mission, we conducted observations from radio to submillimeter wavelengths of comet 103P in the three weeks preceding the spacecraft rendezvous on UT 2010 November 4.58. This time period included the passage at perihelion and the closest approach of the comet to the Earth. Here we report detections of HCN, H2CO, CS, and OH and upper limits for HNC and DCN towards 103P, using the Arizona Radio Observatory Kitt Peak 12m telescope (ARO 12m) and submillimeter telescope (SMT), the James Clerk Maxwell Telescope (JCMT) and the Greenbank Telescope (GBT). The water production rate, QH2O = (0.67 - 1.07) x 10^28 s^-1, was determined from the GBT OH data. From the average abundance ratios of HCN and H2CO relative to water (0.13 +/- 0.03 % and 0.14 +/- 0.03 %, respectively), we conclude that H2CO is depleted and HCN is normal with respect to typically-observed cometary mixing ratios. However, the abundance ratio of HCN with water shows a large diversity with time. Using the JCMT data we measured an upper limit for the DCN/HCN ratio <0.01. Consecutive observations of ortho- H2CO and para-H2CO on November 2 (from data obtained at the JCMT), allowed us to derive an ortho : para ratio (OPR) ~ 2.12 +/- 0.59 (1sigma), corresponding to Tspin > 8 K (2sigma).
description: Accepted for publication in the Astrophysical Journal (July 2, 2014) - ApJ95151R1
Post-Processing Free Spatio-Temporal Optical Random Number Generator Resilient to Hardware Failure and Signal Injection Attacks
Creators: name: Stipčević, Mario
name: Bowers, John
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a random number generator based on quantum effects in photonic emission and detection. It is unique in simultaneous use of both spatial and temporal quantum information contained in the system which makes it resilient to hardware failure and signal injection attacks. We show that its deviation from randomness cam be estimated based on simple measurements. Generated numbers pass NIST Statistical test suite without post-processing.
description: 13 pages, 11 figures, 1 tablem 10 equations
Moments de la fonction Delta de Hooley associée à un caractère
Creators: name: Lartaux, Alexandre
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: Let $f$ be an arithmetic function, $V\geqslant 1$ a real number and $$Δ_V(n,f) := \sup\limits_{\substack{u \in \mathbb{R}\\ v \in [0,V]}}{\Big|\sum\limits_{\substack{d\mid n \\ {\rm e}^{u}
description: in French
Thermodynamic curvature for a two-parameter spin model with frustration
Creators: name: Ruppeiner, George
name: Bellucci, Stefano
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Microscopic models of realistic thermodynamic systems usually involve a number of parameters, not all of equal macroscopic relevance. We examine a decorated $(1+3)$ Ising spin chain containing two microscopic parameters: a "stiff" $K$ mediating the long-range interactions, and a "sloppy" $J$ operating within local spin groups. $K$ dominates the macroscopic behavior, and varying $J$ has weak effect except in regions where $J$ brings about transitions between phases through its conditioning of the local spin groups with which $K$ interacts. We calculate the heat capacity $C_H$, the magnetic susceptibility $χ_T$, and the thermodynamic curvature $R$. For large $|J/K|$, we identify four magnetic phases: ferromagnetic, antiferromagnetic, and two ferrimagnetic ones, according to the signs of $K$ and $J$. We argue that for characterizing these phases, the strongest picture is offered by the thermodynamic geometric invariant $R$, proportional to the correlation length $ξ$. This picture has correspondences to other cases, such as fluids.
description: 13 pages, 4 figures, 25 references
Molding Free-Space Light with Guided-Wave-Driven Metasurfaces
Creators: name: Guo, Xuexue
name: Ding, Yimin
name: Chen, Xi
name: Duan, Yao
name: Ni, Xingjie
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Metasurfaces with unparalleled controllability of light have shown great potential to revolutionize conventional optics. However, they mainly work with free-space light input, which makes it difficult for full on-chip integration. On the other hand, integrated photonics enables densely packed devices but has limited free-space light controllability. Here, we show that judiciously designed guided-wave-driven metasurfaces can mold guided waves into arbitrary free-space modes to achieve complex free-space functions, such as beam steering and focusing, with ultrasmall footprints and potentially no diffraction loss. Based on the same concept together with broken inversion symmetry induced by metasurfaces, we also realized direct orbital angular momentum (OAM) lasing from a micro-ring resonator. Our study works towards complete control of light across integrated photonics and free-space platforms, and paves new exciting ways for creating multifunctional photonic integrated devices with agile access to free space which could enable a plethora of applications in communications, remote sensing, displays, and etc.
description: 37 pages, 5 figures
Intelligent Escape of Robotic Systems: A Survey of Methodologies, Applications, and Challenges
Creators: name: Li, Junfei
name: Yang, Simon X.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI) techniques to enable robots with the capacity to intelligently react to potential dangers in dynamic, intricate, and unpredictable scenarios. As the emphasis on safety becomes increasingly paramount and advancements in robotic technologies continue to advance, a wide range of intelligent escape methodologies has been developed in recent years. This paper presents a comprehensive survey of state-of-the-art research work on intelligent escape of robotic systems. Four main methods of intelligent escape are reviewed, including planning-based methodologies, partitioning-based methodologies, learning-based methodologies, and bio-inspired methodologies. The strengths and limitations of existing methods are summarized. In addition, potential applications of intelligent escape are discussed in various domains, such as search and rescue, evacuation, military security, and healthcare. In an effort to develop new approaches to intelligent escape, this survey identifies current research challenges and provides insights into future research trends in intelligent escape.
description: This paper is accepted by Journal of Intelligent and Robotic Systems
Nonreciprocal Metasurface with Space-Time Phase Modulation
Creators: name: Guo, Xuexue
name: Ding, Yimin
name: Duan, Yao
name: Ni, Xingjie
Publisher: name: arXiv
Year: 2019
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Creating materials with time-variant properties is critical for breaking reciprocity that imposes fundamental limitations to wave propagation. However, it is challenging to realize efficient and ultrafast temporal modulation in a photonic system. Here, leveraging both spatial and temporal phase manipulation offered by an ultrathin nonlinear metasurface, we experimentally demonstrated nonreciprocal light reflection at wavelengths around 860 nm. The metasurface, with traveling-wave modulation upon nonlinear Kerr building blocks, creates spatial phase gradient and multi-terahertz temporal phase wobbling, which leads to unidirectional photonic transitions in both momentum and energy spaces. We observed completely asymmetric reflections in forward and backward light propagations within a sub-wavelength interaction length of 150 nm. Our approach pointed out a potential means for creating miniaturized and integratable nonreciprocal optical components.
description: 25 pages, 5 figures
Nonexistence of small doubly periodic solutions for dispersive equations
Creators: name: Ambrose, David M.
name: Wright, J. Douglas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We study the question of existence of time-periodic, spatially periodic solutions for dispersive evolution equations, and in particular, we introduce a framework for demonstrating the nonexistence of such solutions. We formulate the problem so that doubly periodic solutions correspond to fixed points of a certain operator. We prove that this operator is locally contracting, for almost every temporal period, if the Duhamel integral associated to the evolution exhibits a weak smoothing property. This implies the nonexistence of nontrivial, small-amplitude time-periodic solutions for almost every period if the smoothing property holds. This can be viewed as a partial analogue of scattering for dispersive equations on periodic intervals, since scattering in free space implies the nonexistence of small coherent structures. We use a normal form to demonstrate the smoothing property on specific examples, so that it can be seen that there are indeed equations for which the hypotheses of the general theorem hold. The nonexistence result is thus established through the novel combination of small divisor estimates and dispersive smoothing estimates. The examples treated include the Korteweg-de Vries equation and the Kawahara equation.
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
Creators: name: Liu, Yang
name: Goudie, Robert J. B.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences

description: Bayesian modelling enables us to accommodate complex forms of data and make a comprehensive inference, but the effect of partial misspecification of the model is a concern. One approach in this setting is to modularize the model, and prevent feedback from suspect modules, using a cut model. After observing data, this leads to the cut distribution which normally does not have a closed-form. Previous studies have proposed algorithms to sample from this distribution, but these algorithms have unclear theoretical convergence properties. To address this, we propose a new algorithm called the Stochastic Approximation Cut algorithm (SACut) as an alternative. The algorithm is divided into two parallel chains. The main chain targets an approximation to the cut distribution; the auxiliary chain is used to form an adaptive proposal distribution for the main chain. We prove convergence of the samples drawn by the proposed algorithm and present the exact limit. Although SACut is biased, since the main chain does not target the exact cut distribution, we prove this bias can be reduced geometrically by increasing a user-chosen tuning parameter. In addition, parallel computing can be easily adopted for SACut, which greatly reduces computation time.
description: 36 pages, 9 figures, 1 table
Cartan connections for stochastic developments on sub-Riemannian manifolds
Creators: name: Beschastnyi, Ivan
name: Habermann, Karen
name: Medvedev, Alexandr
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 53C17, 58A15, 58J65

description: Analogous to the characterisation of Brownian motion on a Riemannian manifold as the development of Brownian motion on a Euclidean space, we construct sub-Riemannian diffusions on equinilpotentisable sub-Riemannian manifolds by developing a canonical stochastic process arising as the lift of Brownian motion to an associated model space. The notion of stochastic development we introduce for equinilpotentisable sub-Riemannian manifolds uses Cartan connections, which take the place of the Levi-Civita connection in Riemannian geometry. We first derive a general expression for the generator of the stochastic process which is the stochastic development with respect to a Cartan connection of the lift of Brownian motion to the model space. We further provide a necessary and sufficient condition for the existence of a Cartan connection which develops the canonical stochastic process to the sub-Riemannian diffusion associated with the sub-Laplacian defined with respect to the Popp volume. We illustrate the construction of a suitable Cartan connection for free sub-Riemannian structures with two generators and we discuss an example where the condition is not satisfied.
description: 28 pages, added Theorem 1.2 which improves upon Corollary 4.1 in v1
Density Functional Theory Calculations on the Interstellar Formation of Biomolecules
Creators: name: Liao, Qingli
name: Wang, Junzhi
name: Xie, Peng
name: Liang, Enwei
name: Wang, Zhao
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The density functional theory (DFT) is the most versatile electronic structure method used in quantum chemical calculations, and is increasingly applied in astrochemical research. This mini-review provides an overview of the applications of DFT calculations in understanding the chemistry that occurs in star-forming regions. We survey investigations into the formation of biologically-relevant compounds such as nucleobases in the interstellar medium, and also covers the formation of both achiral and chiral amino acids, as well as biologically-relevant molecules such as sugars, and nitrogen-containing polycyclic aromatic hydrocarbons. Additionally, DFT calculations are used to estimate the potential barriers for chemical reactions in astronomical environments. We conclude by noting several areas that require more research, such as the formation pathways of chiral amino acids, complex sugars and other biologically-important molecules, and the role of environmental factors in the formation of interstellar biomolecules.
A note on pathwise approximation of stationary Ornstein-Uhlenbeck processes with diagonalizable drift
Creators: name: Schurz, Henri
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: Stochastic differential equations
subject: additive noise
subject: implicit Euler methods
subject: 65U05
subject: 60H10
subject: 58G32
subject: 34F05

description: There is a lack of appropriate replication of the asymptotical behaviour of stationary stochastic differential equations solved by numerical methods. The paper illustrates this fact with the stationary Ornstein-Uhlenbeck process with real-diagonalizable drift and the familiy of implicit Euler methods. For the description of the occuring bias the notions of asymptotical p-th mean, mean, variance and equilibrium preservation are introduced. The main result can be useful for the implementation of numerical algorithms requiring more precise long-term runs, such as in discrete parametric estimation or in numerical computation of top Lyapunov exponents.
IALE: Imitating Active Learner Ensembles
Creators: name: Loeffler, Christoffer
name: Mutschler, Christopher
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Active learning (AL) prioritizes the labeling of the most informative data samples. However, the performance of AL heuristics depends on the structure of the underlying classifier model and the data. We propose an imitation learning scheme that imitates the selection of the best expert heuristic at each stage of the AL cycle in a batch-mode pool-based setting. We use DAGGER to train the policy on a dataset and later apply it to datasets from similar domains. With multiple AL heuristics as experts, the policy is able to reflect the choices of the best AL heuristics given the current state of the AL process. Our experiment on well-known datasets show that we both outperform state of the art imitation learners and heuristics.
description: 17 pages
Mesoscopic conductance fluctuations and noise in disordered Majorana wires
Creators: name: Antonenko, Daniil S.
name: Khalaf, Eslam
name: Ostrovsky, Pavel M.
name: Skvortsov, Mikhail A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Superconducting wires with broken time-reversal and spin-rotational symmetries can exhibit two distinct topological gapped phases and host bound Majorana states at the phase boundaries. When the wire is tuned to the transition between these two phases and the gap is closed, Majorana states become delocalized leading to a peculiar critical state of the system. We study transport properties of this critical state as a function of the length $L$ of a disordered multichannel wire. Applying a non-linear supersymmetric sigma model of symmetry class D with two replicas, we identify the average conductance, its variance and the third cumulant in the whole range of $L$ from the Ohmic limit of short wires to the regime of a broad conductance distribution when $L$ exceeds the correlation length of the system. In addition, we calculate the average shot noise power and variance of the topological index for arbitrary $L$. The general approach developed in the paper can also be applied to study combined effects of disorder and topology in wires of other symmetries.
description: 21 pages, 7 figures; minor corrections to match the PRB paper (2020)
On the Existence of Unbiased Monte Carlo Estimators
Creators: name: Mathé, Peter
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: unbiased Monte Carlo estimators
subject: operator ideals
subject: 65C05
subject: 47B10

description: For many typical instances where Monte Carlo methods are applied attempts were made to find unbiased estimators, since for them the Monte Carlo error reduces to the statistical error. These problems usually take values in the scalar field. If we study vector valued Monte Carlo methods, then we are confronted with the question whether there can exist unbiased estimators. This problem is apparently new. Below it is settled precisely. Partial answers are given, indicating relations to several classes of linear operators in Banach spaces.
Incommensurate magnetic states induced by ordering competition in $\mathrm{Ba_{1-x}Na_xFe_2As_2}$
Creators: name: Wang, Jing
Publisher: name: arXiv
Year: 2020
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Quantum criticality nearby a certain magnetic phase transition beneath the superconducting dome of $\mathrm{Ba_{1-x}Na_xFe_2As_2}$ is attentively studied by virtue of a phenomenological theory in conjunction with renormalization group approach. We report that ordering competition between magnetic and superconducting fluctuations is capable of coaxing incommensurate (IC) magnetic states to experience distinct fates depending upon their spin configurations. The $C_2$-symmetry IC magnetic stripe with perpendicular magnetic helix dominates over other $C_2$-symmetry magnetic competitors and hints at a potential candidate for the unknown $C_2$-symmetry magnetic state. Amongst $C_4$-symmetry IC magnetic phases, IC charge spin density wave is substantiated to be superior, shedding light on the significant intertwining of charge and spin degrees of freedom. Meanwhile, ferocious fluctuations render a sharp fall of superfluid density alongside dip of critical temperature as well as intriguing behavior of London penetration depth.
description: 19 pages, 15 figures
Modeling the Ages and Metallicities of Early-Type Galaxies in Fundamental Plane Space
Creators: name: Porter, L. A.
name: Somerville, R. S.
name: Primack, J. R.
name: Croton, D. J.
name: Covington, M. D.
name: Graves, G. J.
name: Faber, S. M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Recent observations have probed the formation histories of nearby elliptical galaxies by tracking correlations between the stellar population parameters, age and metallicity, and the structural parameters that enter the Fundamental Plane, radius and velocity dispersion sigma. These studies have found intriguing correlations between these four parameters. In this work, we make use of a semi-analytic model, based on halo merger trees extracted from the Bolshoi cosmological simulation, that predicts the structural properties of spheroid-dominated galaxies based on an analytic model that has been tested and calibrated against an extensive suite of hydrodynamic+N-body binary merger simulations. We predict the radius, sigma, luminosity, age, and metallicity of spheroid-dominated galaxies, enabling us to compare directly to observations. Our model predicts a strong correlation between age and sigma for early-type galaxies, and no significant correlation between age and radius, in agreement with observations. In addition we predict a strong correlation between metallicity and sigma, and a weak correlation between metallicity and radius, in qualitative agreement with observations. We find that the correlations with sigma arise as a result of the strong link between sigma and the galaxy assembly time. Minor mergers produce a large change in radius while leaving sigma nearly the same, which explains the weaker trends with radius.
description: 15 pages, 9 figures, submitted to MNRAS. arXiv admin note: text overlap with arXiv:1201.5918
Filtering and Analysis of Multi parameter Radar Measurements in Rain using Wavelets
Creators: name: Tawfik, Benbella S.
name: Chandrasekar, Vishal
Publisher: name: figshare
Year: 2022
Subjects: subject: 20204 Plasma Physics; Fusion Plasmas; Electrical Discharges
subject: FOS: Physical sciences
subject: 40401 Electrical and Electromagnetic Methods in Geophysics
subject: FOS: Earth and related environmental sciences
subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: Applied Computer Science
subject: Theoretical Computer Science
subject: 80602 Computer-Human Interaction
subject: FOS: Psychology
subject: 170201 Computer Perception, Memory and Attention
subject: 80104 Computer Vision
subject: FOS: Computer and information sciences
subject: 80103 Computer Graphics
subject: 80302 Computer System Architecture
subject: Computer Engineering
subject: Computer Software
subject: 80399 Computer Software not elsewhere classified

description: The multiparameter radar measurements used for rainfall estimation typically include reflectivity (ZH), differential reflectivity ( Z D R )and specific differential propagation phase (KDP).Each of the above measurements have different spatial variability scales. Thus rainfall estimates from each set of measurements have different spatial variabilities. For example specific differential phase ( K D P ) is estimated as slope of differential phase measurements (QDP). Filtering of QDP at various scales may influence accuracy and scale variability of @DP measurements. This paper presents scale analysis, and multiresolution analysis of multiparameter radar measurements.
Zum Einfluß der Wärmeleitung und der Ladungsträgerdiffusion auf das Verhalten eines Halbleiterlasers
Creators: name: Förste, Joachim
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: Diffusion
subject: Stabilität
subject: Wärmeleitung
subject: Laser
subject: 35Q60
subject: 78A60

description: Bekanntlich wird eine katastrophenartige Schädigung von GaxAl1-xAs Doppel-heterostrukturlasern durch Überhitzung herbeigeführt, deren Ursache eine hohe nichtradiative Rekombinationsrate an der Spiegelfacette ist. Auf der Grundlage zweidimensionaler Bilanzgleichungen wird der Einfluß der lateralen Diffusion diskutiert.
The equality case in Cheeger's and Buser's inequalities on $\mathsf{RCD}$ spaces
Creators: name: De Ponti, Nicolò
name: Mondino, Andrea
name: Semola, Daniele
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: Differential Geometry (math.DG)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics

description: We prove that the sharp Buser's inequality obtained in the framework of $\mathsf{RCD}(1,\infty)$ spaces by the first two authors is rigid, i.e. equality is obtained if and only if the space splits isomorphically a Gaussian. The result is new even in the smooth setting. We also show that the equality in Cheeger's inequality is never attained in the setting of $\mathsf{RCD}(K,\infty)$ spaces with finite diameter or positive curvature, and we provide several examples of spaces with Ricci curvature bounded below where these assumptions are not satisfied and the equality is attained.
description: Added new results: the discussion on Cheeger's inequality now fits into the study of a family of inequalities relating eigenvalues of the p-Laplacian. To appear on Journal of Functional Analysis
Privatization in oligopoly: the impact of the shadow cost of public funds
Creators: name: Capuano, Carlo
name: De Feo, Giueseppe
Publisher: name: Universita' degli Studi di Salerno
Year: 2008
Subjects: Mixed oligopoly
Privatization
Endogenous Timing
Distortionary taxes

description: The aim of this paper is to investigate the welfare effect of privatization in oligopoly when the government takes into account the distortionary effect of rising funds by taxation (shadow cost of public funds). We analyze the impact of the change in ownership not only on the objective function of the firms, but also on the timing of competition by endogenizing the determination of simultaneous (Nash-Cournot) versus sequential (Stackelberg) games. We show that, absent efficiency gains, privatization never increases welfare. Moreover, even when large efficiency gains are realized, an inefficient public firm may be preferred.
A stochastic weighted particle method for the Boltzmann equation
Creators: name: Rjasanow, Sergej
name: Wagner, Wolfgang
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: particle collisions
subject: stochastic weighted particle method
subject: algorithms
subject: Boltzmann equation
subject: Monte Carlo method
subject: 65R20
subject: 45K05
subject: 82C40

description: A class of algorithms for the numerical treatment of the Boltzmann equation is introduced. The basic idea is a more general procedure of modelling collisions between particles. This procedure is based on a random weight transfer from the particles with the pre-collision velocities to the particles with the post-collision velocities.
A Talenti-type comparison theorem for $\mathrm{RCD}(K,N)$ spaces and applications
Creators: name: Mondino, Andrea
name: Vedovato, Mattia
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: Differential Geometry (math.DG)
subject: Functional Analysis (math.FA)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics

description: We prove pointwise and $L^{p}$-gradient comparison results for solutions to elliptic Dirichlet problems defined on open subsets of a (possibly non-smooth) space with positive Ricci curvature (more precisely of an $\mathrm{RCD}(K,N)$ metric measure space, with $K>0$ and $N\in (1,\infty)$). The obtained Talenti-type comparison is sharp, rigid and stable with respect to $L^{2}$/measured-Gromov-Hausdorff topology; moreover, several aspects seem new even for smooth Riemannian manifolds. As applications of such Talenti-type comparison, we prove a series of improved Sobolev-type inequalities, and an $\mathrm{RCD}$ version of the St.~Venant-Pólya torsional rigidity comparison theorem (with associated rigidity and stability statements). Finally, we give a probabilistic interpretation (in the setting of smooth Riemannian manifolds) of the aforementioned comparison results, in terms of exit time from an open subset for the Brownian motion.
description: 35 pages. Final version to appear in Calculus of Variations and Partial Differential Equations
Eigenvalue statistics for random Schrodinger operators with non rank one perturbations
Creators: name: Hislop, Peter D.
name: Krishna, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mathematical Physics (math-ph)
subject: Spectral Theory (math.SP)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 35J10, 81Q10, 35P20

description: We prove that certain natural random variables associated with the local eigenvalue statistics for generalized lattice Anderson models constructed with finite-rank perturbations are compound Poisson distributed. This distribution is characterized by the fact that the Levy measure is supported on at most a finite set determined by the rank. The proof relies on a Minami-type estimate for finite-rank perturbations. For Anderson-type continuum models on $\R^d$, we prove a similar result for certain natural random variables associated with the local eigenvalue statistics. We prove that the compound Poisson distribution associated with these random variables has a Levy measure whose support is at most the set of positive integers.
Entropy-Transport distances between unbalanced metric measure spaces
Creators: name: De Ponti, Nicoló
name: Mondino, Andrea
Publisher: name: arXiv
Year: 2020
Subjects: subject: Metric Geometry (math.MG)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Inspired by the recent theory of Entropy-Transport problems and by the $\mathbf{D}$-distance of Sturm on normalised metric measure spaces, we define a new class of complete and separable distances between metric measure spaces of possibly different total mass. We provide several explicit examples of such distances, where a prominent role is played by a geodesic metric based on the Hellinger-Kantorovich distance. Moreover, we discuss some limiting cases of the theory, recovering the "pure transport" $\mathbf{D}$-distance and introducing a new class of "pure entropic" distances. We also study in detail the topology induced by such Entropy-Transport metrics, showing some compactness and stability results for metric measure spaces satisfying Ricci curvature lower bounds in a synthetic sense.
description: 39 pages. Added a section with a comparison with the conic Gromov-Wasserstein distance. Some other minor improvements. Final version, to appear on "Probability Theory and Related Fields"
Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing
Creators: name: Ke, Hongyu
name: Wang, Haoxin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Diminished Reality (DR) is considered as the conceptual counterpart to Augmented Reality (AR), and has recently gained increasing attention from both industry and academia. Unlike AR which adds virtual objects to the real world, DR allows users to remove physical content from the real world. When combined with object replacement technology, it presents an further exciting avenue for exploration within the metaverse. Although a few researches have been conducted on the intersection of object substitution and DR, there is no real-time object substitution for mobile diminished reality architecture with high quality. In this paper, we propose an end-to-end architecture to facilitate immersive and real-time scene construction for mobile devices with edge computing.
Solvable Model for Inheriting the Regularization through Knowledge Distillation
Creators: name: Saglietti, Luca
name: Zdeborová, Lenka
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: In recent years the empirical success of transfer learning with neural networks has stimulated an increasing interest in obtaining a theoretical understanding of its core properties. Knowledge distillation where a smaller neural network is trained using the outputs of a larger neural network is a particularly interesting case of transfer learning. In the present work, we introduce a statistical physics framework that allows an analytic characterization of the properties of knowledge distillation (KD) in shallow neural networks. Focusing the analysis on a solvable model that exhibits a non-trivial generalization gap, we investigate the effectiveness of KD. We are able to show that, through KD, the regularization properties of the larger teacher model can be inherited by the smaller student and that the yielded generalization performance is closely linked to and limited by the optimality of the teacher. Finally, we analyze the double descent phenomenology that can arise in the considered KD setting.
Lo pseudotensore energia-impulso in teorie estese della gravitazione
Creators: name: Capriolo, Maurizio
Publisher: name: Universita degli studi di Salerno
Year: 2018
Subjects: subject: MAT/05 ANALISI MATEMATICA
subject: Pseudotensore
subject: Teleparallelismo
subject: Gravitazione

description: 2016 - 2017
description: The gravitational field’s energy and momentum definitions are treated in extensive gravitation theories, through the generalization of the energymomentum pseudotensor, defined by Einstein in general relativity. This extension was obtained by modifying the Lagrangian of Hilbert-Einstein or by using a different connection from the one of Levi- Civita as that of Weitzenböck for teleparallel theories. We have firstly obtained the gravitational energy-momentum pseudotensor for extended Lagrangians that depend on the metric gμ⌫ and on its derivatives up to nth order and then demonstrated, in general, its affine and non-covariant behavior. Then we applied the weak field limit to Euler-Lagrange equations associated to the Lagrangian which depends linearly on the ⇤R terms and derived the modified gravitational waves with six polarization states, three transverse and three not, with helicity 0 and 2. Subsequently we have obtained, through the Noether theorem for infinitesimal rigid translations, the relative energy-momentum pseudotensor and after having developed it to the order h2 and mediated on an suitable domain, we have calculated the power emitted from a possible gravitational radiant source. For gravity f (R) and f (T) we have obtained the respective energy-momentum pseudotensors and, via the border therm B which connects the curvature R to the torsion T, we have studied the relative pseudotensor ⌧↵ #|!(T,B) allowing us to link ⌧↵ #|f(R) and ⌧↵ #|f(T). Finallywehave obtained the equations for two theories of higher order telepallel gravity: in particular for the Lagrangian L⇤kT = h ! T + Pp k=0 akT⇤kT # and for the sixth order telepallel gravity equivalent to LR⇤R = p−g (−R + a0R2 + a1R⇤R). [edited by Author]
Towards building a Crowd-Sourced Sky Map
Creators: name: Lang, Dustin
name: Hogg, David W.
name: Scholkopf, Bernhard
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We describe a system that builds a high dynamic-range and wide-angle image of the night sky by combining a large set of input images. The method makes use of pixel-rank information in the individual input images to improve a "consensus" pixel rank in the combined image. Because it only makes use of ranks and the complexity of the algorithm is linear in the number of images, the method is useful for large sets of uncalibrated images that might have undergone unknown non-linear tone mapping transformations for visualization or aesthetic reasons. We apply the method to images of the night sky (of unknown provenance) discovered on the Web. The method permits discovery of astronomical objects or features that are not visible in any of the input images taken individually. More importantly, however, it permits scientific exploitation of a huge source of astronomical images that would not be available to astronomical research without our automatic system.
description: Appeared at AI-STATS 2014
Analysis on the Consumers’ Preferences for the Equestrian Service
Creators: name: Kim, Hyunjoong
name: Kim, Hyunjoong
Publisher: name: Unknown
Year: 2017
Subjects: subject: Livestock Production/Industries
subject: Resource /Energy Economics and Policy
subject: equestrian service
subject: equestrian attribute
subject: choice experiments

description: This paper identifies horse riders' preference and measures marginal willingness to pay (MWTP) for equestrian attributes by using choice experiments. It was analyzed that regular riders' satisfaction increased with the following factors: a bigger equestrian facility, better accessibility, indoor and outdoor riding services, and lower riding fees. Additionally, warmbloods were the most preferred type of horses. The results of measuring consumers' MWTP for riding attributes show that they are willing to pay an extra KRW 100,000 a month to use a large-scale equestrian facility rather than a small one and an extra KRW 150,000 a month for an equestrian facility with better accessibility. In addition, horse riders were willing to pay an extra KRW 270,000 to ride a warmblood compared to a Halla horse. The marginal willingness to pay for outdoor riding was KRW 310,000 and that for indoor riding was KRW 390,000. The differences in the respondents' preference for riding attributes were identified through a latent class model, and they were classified into six groups with similar preferences. Each group differed in income levels, gender, and membership types.
Simulation of stochastic auto-oscillating systems through variable stepsize algorithms with small noise
Creators: name: Artemiev, Sergey S.
name: Averina, Tatjana A.
name: Schurz, Henri
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: Stochastic differential equations
subject: auto-oscillating systems
subject: limit cycle
subject: strange attractor
subject: bifurcation
subject: numerical methods
subject: mean square error
subject: variable stepsize algorithm
subject: simulation studies
subject: 60H10
subject: 65C20
subject: 65L20
subject: 65U05

description: The paper considers some questions of the numerical analysis of stochastic auto-oscillating systems and their simulation on computers. A low computer costs, variable stepsize algorithm based on local error estimation of stochastic Runge-Kutta- Fehlberg methods is stated for solving nonlinear stochastic differential equations. In particular, it turns out to be very efficient for dynamical systems with small noise intensity. Results of numerical experiments for a plenty of well-known examples from Physics, Chemistry, Biology and Ecology are illustrated with the help of the dialogue system 'Dynamics and Control'.