cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Brightest group galaxies-II: the relative contribution of BGGs to the total baryon content of groups at z<1.3
Creators: name: Gozaliasl, Ghassem
name: Finoguenov, Alexis
name: Khosroshahi, Habib G.
name: Henriques, Bruno M. B.
name: Tanaka, Masayuki
name: Ilbert, Olivier
name: Wuyts, Stijn
name: McCracken, Henry J.
name: Montanari, Francesco
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We performed a detailed study of the evolution of the star formation rate (SFR) and stellar mass of the brightest group galaxies (BGGs) and their relative contribution to the total baryon budget within $R_{200}$ ($f^{BGG}_{b,200}$). The sample comprises 407 BGGs selected from X-ray galaxy groups ($M_{200}=10^{12.8}-10^{14} \;M_{\odot}$) out to $z\sim1.3$ identified in the COSMOS, XMM-LSS, and AEGIS fields. We find that BGGs constitute two distinct populations of quiescent and star-forming galaxies and their mean SFR is $\sim2$ dex higher than the median SFR at $ z<1.3 $. Both the mean and the median SFRs decline with time by $>2$ dex. The mean (median) of stellar mass of BGGs has grown by $0.3$ dex since $z=1.3$ to the present day. We show that up to $\sim45\% $ of the stellar mass growth in a star-forming BGG can be due to its star-formation activity. With respect to $f^{BGG}_{b,200}$, we find it to increase with decreasing redshift by $\sim0.35$ dex while decreasing with halo mass in a redshift dependent manner. We show that the slope of the relation between $f^{BGG}_{b,200}$ and halo mass increases negatively with decreasing redshift. This trend is driven by an insufficient star-formation in BGGs, compared to the halo growth rate. We separately show the BGGs with the 20\% highest $f^{BGG}_{b,200}$ are generally non-star-forming galaxies and grow in mass by processes not related to star formation (e.g., dry mergers and tidal striping). We present the $ M_\star-M_h $ and $ M_\star/M_h-M_h $ relations and compare them with semi-analytic model predictions and a number of results from the literature. We quantify the intrinsic scatter in stellar mass of BGGs at fixed halo mass ($σ_{log M_{\star}}$) and find that $σ_{log M_{\star}}$ increases from 0.3 dex at $ z\sim0.2 $ to 0.5 dex at $ z\sim1.0 $ due to the bimodal distribution of stellar mass.
description: Accepted for publication in MNRAS, 25 pages, 11 figures
Decay property of solutions to the wave equation with space-dependent damping, absorbing nonlinearity, and polynomially decaying data
Creators: name: Wakasugi, Yuta
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We study the large time behavior of solutions to the semilinear wave equation with space-dependent damping and absorbing nonlinearity in the whole space or exterior domains. Our result shows how the amplitude of the damping coefficient, the power of the nonlinearity, and the decay rate of the initial data at the spatial infinity determine the decay rates of the energy and the $L^2$-norm of the solution. In Appendix, we also give a survey of basic results on the local and global existence of solutions and the properties of weight functions used in the energy method.
description: 45 pages. Remark 1.8 is added and typos are corrected
Accelerated Variational Quantum Eigensolver
Creators: name: Wang, Daochen
name: Higgott, Oscar
name: Brierley, Stephen
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum eigensolver (VQE) algorithms. For precision $ε$, QPE requires $O(1)$ repetitions of circuits with depth $O(1/ε)$, whereas each expectation estimation subroutine within VQE requires $O(1/ε^{2})$ samples from circuits with depth $O(1)$. We propose a generalised VQE algorithm that interpolates between these two regimes via a free parameter $α\in[0,1]$ which can exploit quantum coherence over a circuit depth of $O(1/ε^α)$ to reduce the number of samples to $O(1/ε^{2(1-α)})$. Along the way, we give a new routine for expectation estimation under limited quantum resources that is of independent interest.
description: 11 pages
REMIFENTANIL ANALGESIA DURING LABOR
Creators: name: Lopez, Leezett
name: Mabunay, Katy
name: Ustemchuk, Miroslav
Publisher: name: Zenodo
Year: 2020
Subjects: remifentanil
labor
labor pain
labor analgesia
obstetric analgesia
patient-controlled analgesia

description: Epidural analgesia (EA) is currently considered the gold-standard therapy for labor pain. However, a subset of parturients are ineligible to receive EA, including parturients with coagulopathies, neurologic disorders, and spinal abnormalities. Women with contraindications to EA often receive long-acting systemic opioids, such as meperidine or fentanyl, that risk respiratory depression and sedation in both the mother and the neonate. Remifentanil patient-controlled intravenous analgesia (PCIA) is an alternative analgesic therapy for labor pain. Unlike most opioids that undergo hepatic metabolism, remifentanil is rapidly metabolized by red blood cell esterases in the blood plasma providing it with an ultra-short acting property (Kranke et al., 2009). This unique feature reduces the accumulation of remifentanil in the plasma after prolonged administration and allows for safer administration closer to the time of delivery. Similar to other opioids, remifentanil can cross the placental barrier and produce fetal and maternal respiratory depression. However, because of its rapid metabolism, remifentanil PCIA reduces the risk of neonatal and maternal respiratory depression when compared to other commonly used opioids (Evron et al., 2005; Kan et al., 1998). The purpose of this project was to assess the safety and efficacy of remifentanil dosing regimens used in current obstetric practice by conducting a comprehensive review of peer-reviewed literature. The specific aim was to use the best available evidence to develop an educational module (EM) to improve knowledge and awareness among anesthesia providers, obstetricians, and obstetric nurses regarding the use of remifentanil in parturients in terms of safety, efficacy, and suggested methods of administration and dosing. A comprehensive literature review was performed to establish an evidenced-based computer-based three-part educational module (EM) with a pre-test and post-test to target healthcare providers managing the care of laboring parturients. The EM content is based on the best available evidence and was designed with input from a panel of experts from California State University Fullerton, Kaiser Permanente School of Anesthesia, and Kaiser Permanente Regional Professional Development and Research.
Exceptional Jacobi polynomials
Creators: name: Bonneux, Niels
Publisher: name: arXiv
Year: 2018
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: In this paper we present a systematic way to describe exceptional Jacobi polynomials via two partitions. We give the construction of these polynomials and restate the known aspects of these polynomials in terms of their partitions. The aim is to show that the use of partitions is an elegant way to label these polynomials. Moreover, we prove asymptotic results according to the regular and exceptional zeros of these polynomials.
description: 40 pages, 1 figure
Magnetically-Trapped Molecules Efficiently Loaded from a Molecular MOT
Creators: name: McCarron, D. J.
name: Steinecker, M. H.
name: Zhu, Y.
name: DeMille, D.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We describe experiments demonstrating efficient transfer of molecules from a magneto-optical trap (MOT) into a conservative magnetic quadrupole trap. Our scheme begins with a blue-detuned optical molasses to cool SrF molecules to $\sim\!50$ $μ$K. Next, we optically pump the molecules into a strongly-trapped sublevel. This two-step process reliably transfers $64\%$ of the molecules initially trapped in the MOT into the magnetic trap, comparable to similar atomic experiments. Once loaded, the magnetic trap is compressed by increasing the magnetic field gradient. Finally, we demonstrate a magnetic trap lifetime of over $1$ s. This opens a promising new path to the study of ultracold molecular collisions, and potentially the production of quantum-degenerate molecular gases.
Designmönster: Visa kursstrukturen i lärplattformen
Creators: name: Knutsson, Ola
name: Grath, Cormac Mc
name: Olsson, Ulf
name: Engel, Hugues
name: Wennström, Sofie
Publisher: name: Stockholm University Design Patterns
Year: 2019
Subjects: subject: 130306 Educational Technology and Computing
subject: FOS: Educational sciences

description: Det här är ett designmönster som skapats i ett utvecklingsprojekt på Centrum för universitetslärarutbildning vid Stockholms universitet.Projektet syftar till att utveckla pedagogiska praktiker för universitetslärare som arbetar med lärplattformar för att planera och organisera sin undervisning. Designmönster är en etablerad metod för att kartlägga bl.a. pedagogiska problem och erbjuda förslag till lösningar. Det här designmönstret är ett förslag hur en lärare kan arbeta med informationsstruktur i sin kurs, och framförallt i den lärplattform som Stockholms universitet, kallad "Athena". Det här designmönstret handlar om att du arbetar med hela kursens design i Athena, vad som skall ingå och när olika kursmoment skall ske. Du vill att studenterna på ett enkelt sätt skall få grepp om kursens olika moment.
Denna lösning kan användas tillsammans med ett annat mönster som heter "Ta makten över informationsflödet i kursen" av Sofie Wennström, se https://doi.org/10.17045/sthlmuni.7017056.v1
This is a design pattern created in conjunction with a development project at the Center for the Advancement of University Teaching at Stockholm University. The project aims at developing educational practice for university teachers who work with learning management platforms enabling them to plan and organize their teaching. Design patterns are an established method of identifying and mapping educational problems in order to offer solutions. This design pattern is a proposal how a teacher can work with course design, especially in Stockholm University learning platform “Athena".
This design pattern concerns how you could work with the overall design of a course in Athena, what learning activities to include, and in what chronological order. You want the students to get an immediate understanding on what the course is about.

The use of Overview in Athena, and how Plans will appear in it for students, are described in the design pattern “Expedite Student Queries”.
Mass Spectrum and Statistical Entropy of the BTZ black hole from Canonical Quantum Gravity
Creators: name: Vaz, Cenalo
name: Gutti, Sashideep
name: Kiefer, Claus
name: Singh, T. P.
name: Wijewardhana, L. C. R.
Publisher: name: arXiv
Year: 2007
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics (astro-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In a recent publication we developed a canonical quantization program describing the gravitational collapse of a spherical dust cloud in 2+1 dimensions with a negative cosmological constant $-Λ\equiv -l^{-2}<0$. In this paper we address the quantization of the Banados--Teitelboim--Zanelli (BTZ) black hole. We show that the mass function describing the black hole is made of two pieces, a constant non-vanishing boundary contribution and a discrete spectrum of the form $μ_n = \frac{\hbar}{l}(n+ \frac 12)$. The discrete spectrum is obtained by applying the Wheeler--DeWitt equation with a particular choice of factor ordering and interpreted as giving the energy levels of the collapsed matter shells that form the black hole. Treating a black hole microstate as a particular distribution of shells among the levels, we determine the canonical entropy of the BTZ black hole. Comparison with the Bekenstein--Hawking entropy shows that the boundary energy is related to the central charge of the Virasoro algebra that generates the asymptotic symmetry group of the three-dimensional anti-de Sitter space AdS$_3$. This gives a connection between the Wheeler--DeWitt approach and the conformal field theory approach.
description: 15 pages, no figures. Two explanatory paragraphs have been added. This version will appear in Physical Review D
title: ADCO, Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.3 (2e moitié XIIIe siècle), Cart. 168 (11 H 66), f. 0059r
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2010
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.3 (2e moitié XIIIe siècle), Archives départementales de la Côte-d'Or, Cart. 168 (11 H 66), f. 0059r, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.3 (2e moitié XIIIe siècle), Archives départementales de la Côte-d'Or, Cart. 168 (11 H 66), f. 0059r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
A reduced order model for domain decompositions with non-conforming interfaces
Creators: name: Zappon, Elena
name: Manzoni, Andrea
name: Gervasio, Paola
name: Quarteroni, Alfio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65M99, 65P99, 68U01

description: In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems with Dirichlet and Neumann interface conditions, respectively. After discretization by, e.g., the finite element method, the full-order model (FOM) is solved by Dirichlet-Neumann iterations between the two sub-problems until interface convergence is reached. We then apply the reduced basis (RB) method to obtain a low-dimensional representation of the solution of each sub-problem. Furthermore, we apply the discrete empirical interpolation method (DEIM) at the interface level to achieve a fully reduced-order representation of the DD techniques implemented. To deal with non-conforming FE interface discretizations, we employ the INTERNODES method combined with the interface DEIM reduction. The reduced-order model (ROM) is then solved by sub-iterating between the two reduced-order sub-problems until the convergence of the approximated high-fidelity interface solutions. The ROM scheme is numerically verified on both steady and unsteady coupled problems, in the case of non-conforming FE interfaces.
description: 44 pages, 28 figures, 2 tables, 4 algorithms
Reduction of general two-loop self-energies to standard scalar integrals
Creators: name: Weiglein, G.
name: Scharf, R.
name: Böhm, M.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a method for reducing general two-loop self-energies to standard scalar integrals in massive gauge theories with special emphasis on the electroweak Standard Model. It includes the tensor integral reduction for all two-loop integrals appearing in self-energy calculations. The results are valid for arbitrary values of the invariant momentum $p^2$, all particle masses, the space-time dimension $D$ and the gauge parameters $ξ_i \; (i = γ, Z, W)$. The algebraic structure of the results clearly displays the gauge dependence of the considered quantities and allows to perform very stringent checks. We explicitly verify Slavnov-Taylor identities by calculating several thousand Feynman-diagrams and adding them up algebraically. As an application we calculate the light fermion contributions to the two-loop gauge boson self-energies of the electroweak SM. We study their gauge dependence and discuss the occurring standard integrals.
description: LaTex, 32 pages, (+ 7 figures available from the authors as ps-files), to appear in Nuclear Physics B
Designmönster: Visa kursstrukturen i lärplattformen
Creators: name: Knutsson, Ola
name: Grath, Cormac Mc
name: Olsson, Ulf
name: Engel, Hugues
name: Wennström, Sofie
Publisher: name: Stockholm University Design Patterns
Year: 2018
Subjects: subject: 130306 Educational Technology and Computing
subject: FOS: Educational sciences

description: Det här är ett designmönster som skapats i ett utvecklingsprojekt på Centrum för universitetslärarutbildning vid Stockholms universitet.
Projektet syftar till att utveckla pedagogiska praktiker för universitetslärare som arbetar med lärplattformar för att planera och organisera sin undervisning. Designmönster är en etablerad metod för att kartlägga bl.a. pedagogiska problem och erbjuda förslag till lösningar. Det här designmönstret är ett förslag hur en lärare kan arbeta med informationsstruktur i sin kurs, och framförallt i den lärplattform som Stockholms universitet, kallad "Athena".
Det här designmönstret handlar om att du arbetar med hela kursens design i Athena, vad som skall ingå och när olika kursmoment skall ske. Du vill att studenterna på ett enkelt sätt skall få grepp om kursens olika moment.
Denna lösning kan användas tillsammans med ett annat mönster som heter "Ta makten över informationsflödet i kursen" av Sofie Wennström, se https://doi.org/10.17045/sthlmuni.7017056.v1
title: ADCO, Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Cart. 32 (G 136), 745 folios, f. 0395
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0395, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0395, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: http://www.wikidata.org/entity/Q15945019
description: Provenance: abbaye Saint-Étienne de Dijon
Is your model predicting the past?
Creators: name: Hardt, Moritz
name: Kim, Michael P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: When does a machine learning model predict the future of individuals and when does it recite patterns that predate the individuals? In this work, we propose a distinction between these two pathways of prediction, supported by theoretical, empirical, and normative arguments. At the center of our proposal is a family of simple and efficient statistical tests, called backward baselines, that demonstrate if, and to what extent, a model recounts the past. Our statistical theory provides guidance for interpreting backward baselines, establishing equivalences between different baselines and familiar statistical concepts. Concretely, we derive a meaningful backward baseline for auditing a prediction system as a black box, given only background variables and the system's predictions. Empirically, we evaluate the framework on different prediction tasks derived from longitudinal panel surveys, demonstrating the ease and effectiveness of incorporating backward baselines into the practice of machine learning.
description: Code available at: https://github.com/socialfoundations/backward_baselines
Vector Effective Field Theories from Soft Limits
Creators: name: Cheung, Clifford
name: Kampf, Karol
name: Novotny, Jiri
name: Shen, Chia-Hsien
name: Trnka, Jaroslav
name: Wen, Congkao
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present a bottom-up construction of vector effective field theories using the infrared structure of scattering amplitudes. Our results employ two distinct probes of soft kinematics: multiple soft limits and single soft limits after dimensional reduction, applicable in four and general dimensions, respectively. Both approaches uniquely specify the Born-Infeld (BI) model as the only theory of vectors completely fixed by certain infrared conditions which generalize the Adler zero for pions. These soft properties imply new recursion relations for on-shell scattering amplitudes in BI theory and suggest the existence of a wider class of vector effective field theories.
description: 6 pages, 2 figures
Anomalous quasiparticles in the zone center electron pocket of the kagomé ferromagnet Fe3Sn2
Creators: name: Ekahana, Sandy Adhitia
name: Soh, Y.
name: Tamai, Anna
name: Gosálbez-Martínez, Daniel
name: Yao, Mengyu
name: Hunter, Andrew
name: Fan, Wenhui
name: Wang, Yihao
name: Li, Junbo
name: Kleibert, Armin
name: Vaz, C. A. F.
name: Ma, Junzhang
name: Xiong, Yimin
name: Yazyev, Oleg V.
name: Baumberger, Felix
name: Shi, Ming
name: Aeppli, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: One material containing kagome bilayers and featuring both exceptional magnetism and electron transport is the ferromagnetic metal Fe3Sn2. Notwithstanding the widespread interest in Fe3Sn2, crystal twinning, difficulties in distinguishing surface from bulk states, and a large unit cell have until now prevented the synchrotron-based spectroscopic observation of sharply resolved quasiparticles near the Fermi surface which could be responsible for the anomalous properties appearing at low temperatures for the material. Here we report microfocused laser-based angle-resolved photoemission spectroscopy (micro-ARPES), which offers the first look at such quasiparticles. The high spatial resolution allows individual crystal twin domains to be examined in isolation, resulting in the discovery of three-fold symmetric electron pockets at the Brillouin zone (BZ) center, not predicted by early tight-binding descriptions but in agreement with density functional theory (DFT) calculations, which also feature Weyl nodes. The quasiparticles in these pockets have remarkably long mean free paths, and their Fermi surface area is consistent with reported quantum oscillations. At the same time, though, the best-defined Fermi surface is reduced at low temperature, and the quasiparticles generally are marginal in the sense that their wavelength uncertainty is of order the deviation of the quasiparticle wavelength from the Fermi vector. We attribute these manifestations of strong electron-electron interactions to a flat band predicted by our DFT to lie just above the dispersive bands seen in this experiment. Thus, beyond demonstrating the impact of twin averaging for ARPES measurements of band structures, our experiments reveal many-body physics unaccounted for by current theories of metallic kagome ferromagnets.
Some considerations on investing in startups for the implementation of innovative ideas (in particular patents)
Creators: name: MORELLI, Rocco
Publisher: name: Zenodo
Year: 2024

description: Brief descriptive comment on difficulties in experimenting and financing new ideas by means of Startup Investment even in presence of  formal patent.

The original version in ITALIAN is included.

Comment to : The contribution of activity theory to modeling multi-actor decision-making: A focus on human capital investmentsSeptember 2022Frontiers in Psychology
Explicit formula of deformation quantization with separation of variables for complex two-dimensional locally symmetric Kähler manifold
Creators: name: Okuda, Taika
name: Sako, Akifumi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 53D55, 46L87, 81R60, 32Q15

description: We give a complex two-dimensional noncommutative locally symmetric Kähler manifold via a deformation quantization with separation of variables. We present an explicit formula of its star product by solving the system of recurrence relations given by Hara-Sako. In the two-dimensional case, this system of recurrence relations gives two types of equations corresponding to the two coordinates. From the two types of recurrence relations, symmetrized and antisymmetrized recurrence relations are obtained. The symmetrized one gives the solution of the recurrence relation. From the antisymmetrized one, the identities satisfied by the solution are obtained. The star products for $\mathbb{C}^{2}$ and $\mathbb{C}P^{2}$ are constructed by the method obtained in this study, and we verify that these star products satisfy the identities.
description: 34 pages, no figure; In v2, typos and errors are corrected. Two subsections are added in Section 2. The organization of Section 4 is corrected from two to three subsections. Section 5 and many references are added
A Chiral Schwinger model, its Constraint Structure and Applications to its Quantization
Creators: name: Bracken, Paul
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The Jackiw-Rajaraman version of the chiral Schwinger model is studied as a function of the renormalization parameter. The constraints are obtained and they are used to carry out canonical quantization of the model by means of Dirac brackets. By introducing an additional scalar field, it is shown that the model can be made gauge invariant. The gauge invariant model is quantized by establishing a pair of gauge fixing constraints in order that the method of Dirac can be used.
description: 18 pages
Regular expansion for the characteristic exponent of a product of $2 \times 2$ random matrices
Creators: name: Havret, Benjamin
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 82B44, 60B20, 37H15

description: We consider a product of $2 \times 2$ random matrices which appears in the physics literature in the analysis of some 1D disordered models. These matrices depend on a parameter $ε>0$ and on a positive random variable $Z$. Derrida and Hilhorst (J Phys A 16:2641, 1983, §3) predict that the corresponding characteristic exponent has a regular expansion with respect to $ε$ up to --- and not further --- an order determined by the distribution of $Z$. We give a rigorous proof of that statement. We also study the singular term which breaks that expansion.
description: 25 pages
More Constraints on the Georgi-Machacek Model
Creators: name: Bairi, Zahra
name: Ahriche, Amine
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: In this work, we investigate the parameter space of the Georgi-Machacek (GM) model, where we consider many theoretical and experimental constraints such as the perturbativity, vacuum stability, unitarity, electroweak precision tests, the Higgs di-photon decay, the Higgs total decay width and the LHC measurements of the signal strengths of the SM-like Higgs boson $h$ in addition to the constraints from doubly charged Higgs bosons and Drell-Yan di-photon production and the indirect constraint from the $b\to s$ transition processes. We investigate also the possibility that the electroweak vacuum could be destabilized by unwanted wrong minima that may violate the CP and/or the electric charge symmetries. We found that about 40 \% of the parameter space that fulfills the above mentioned constraints; are excluded by these unwanted minima. In addition, we found that the negative searches for a heavy resonance could exclude a significant part of the viable parameter space; and future searches could exclude more regions in the parameter space.
description: More constraints are considered, 21 pages & 9 figures
A Model Connecting Galaxy Masses, Star Formation Rates, and Dust Temperatures Across Cosmic Time
Creators: name: Imara, Nia
name: Loeb, Abraham
name: Johnson, Benjamin D.
name: Conroy, Charlie
name: Behroozi, Peter
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We investigate the evolution of dust content in galaxies from redshifts z=0 to z=9.5. Using empirically motivated prescriptions, we model galactic-scale properties -- including halo mass, stellar mass, star formation rate, gas mass, and metallicity -- to make predictions for the galactic evolution of dust mass and dust temperature in main sequence galaxies. Our simple analytic model, which predicts that galaxies in the early Universe had greater quantities of dust than their low-redshift counterparts, does a good job at reproducing observed trends between galaxy dust and stellar mass out to z~6. We find that for fixed galaxy stellar mass, the dust temperature increases from z=0 to z=6. Our model forecasts a population of low-mass, high-redshift galaxies with interstellar dust as hot as, or hotter than, their more massive counterparts; but this prediction needs to be constrained by observations. Finally, we make predictions for observing 1.1-mm flux density arising from interstellar dust emission with the Atacama Large Millimeter Array.
description: Accepted for publication in ApJ
$χ_{c2} \to ρρ$ Decay and the $ρ$ Polarization in Inclusive Processes: A Test of Mass Effects
Creators: name: Anselmino, M.
name: Murgia, F.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We compute the helicity density matrix of $ρ$ vector mesons produced in the two-body decays of $χ_{c2}$'s in the framework of perturbative QCD, allowing for mass corrections. The $χ_{c2}$'s are inclusively produced in hadronic interactions via gluon fusion and are shown to be strongly polarized. Both the case in which the light quarks inside the final mesons are treated as massless current quarks and the case in which they are seen as constituent massive ones are considered. Our results show significant differences between the two cases; the measurement of the $ρ$ helicity density matrix should allow a test of the importance of these mass effects.
description: 8 pages, Plain TeX, 5 figures (postscript files added as uuencoded tar-compressed file), report DFTT 63/93
The von Mises Graphical Model: Structure Learning (CMU-CS-11-108 / CMU-CB-11-100)
Creators: name: Razavian, Narges Sharif
name: Hetunandan  Kamisetty
name: Langmead, Christopher J.
Publisher: name: Carnegie Mellon University
Year: 2010
Subjects: Computational Biology

description: The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for structure learning using L1 regularization. We show that the learning algorithm is both consistent and efficient. We also introduce a simple inference algorithm based on Gibbs sampling. We compare and contrast the von Mises Graphical Model (VGM) with a Gaussian Graphical Model (GGM) on both synthetic data and on data from protein structures and demonstrate that the VGM achieves higher accuracy than the GGM.
Wirelessly-Controlled Untethered Piezoelectric Planar Soft Robot Capable of Bidirectional Crawling and Rotation
Creators: name: Zheng, Zhiwu
name: Cheng, Hsin
name: Kumar, Prakhar
name: Wagner, Sigurd
name: Chen, Minjie
name: Verma, Naveen
name: Sturm, James C.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Electrostatic actuators provide a promising approach to creating soft robotic sheets, due to their flexible form factor, modular integration, and fast response speed. However, their control requires kilo-Volt signals and understanding of complex dynamics resulting from force interactions by on-board and environmental effects. In this work, we demonstrate an untethered planar five-actuator piezoelectric robot powered by batteries and on-board high-voltage circuitry, and controlled through a wireless link. The scalable fabrication approach is based on bonding different functional layers on top of each other (steel foil substrate, actuators, flexible electronics). The robot exhibits a range of controllable motions, including bidirectional crawling (up to ~0.6 cm/s), turning, and in-place rotation (at ~1 degree/s). High-speed videos and control experiments show that the richness of the motion results from the interaction of an asymmetric mass distribution in the robot and the associated dependence of the dynamics on the driving frequency of the piezoelectrics. The robot's speed can reach 6 cm/s with specific payload distribution.
description: Accepted to the 2023 IEEE International Conference on Robotics and Automation (ICRA)
Geometric Aspects of Biological Sequence Comparison
Creators: name: Stojmirović, Aleksandar
name: Yu, Yi-Kuo
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: We propose a general framework for converting global and local similarities between biological sequences to quasi-metrics. In contrast to previous works, our formulation allows asymmetric distances, originating from uneven weighting of strings, that may induce non-trivial partial orders on sets of biosequences. Furthermore, the $\ell^p$-type distances considered are more general than traditional generalized string edit distances corresponding to the $\ell^1$ case, and enable conversion of sequence similarities to distances for a much wider class of scoring schemes. Our constructions require much less restrictive gap penalties than the ones regularly used. Numerous examples are provided to illustrate the concepts introduced and their potential applications.
description: 55 pages, 2 figures, 2 tables, plain LaTex format. Added additional references, removed Appendix B, changed abstract, minor changes in text
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Creators: name: Zhou, Zihao
name: Li, Yanan
name: Ren, Xuebin
name: Yang, Shusen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Federated learning (FL) is an emerging privacy-preserving paradigm that enables multiple participants collaboratively to train a global model without uploading raw data. Considering heterogeneous computing and communication capabilities of different participants, asynchronous FL can avoid the stragglers effect in synchronous FL and adapts to scenarios with vast participants. Both staleness and non-IID data in asynchronous FL would reduce the model utility. However, there exists an inherent contradiction between the solutions to the two problems. That is, mitigating the staleness requires to select less but consistent gradients while coping with non-IID data demands more comprehensive gradients. To address the dilemma, this paper proposes a two-stage weighted $K$ asynchronous FL with adaptive learning rate (WKAFL). By selecting consistent gradients and adjusting learning rate adaptively, WKAFL utilizes stale gradients and mitigates the impact of non-IID data, which can achieve multifaceted enhancement in training speed, prediction accuracy and training stability. We also present the convergence analysis for WKAFL under the assumption of unbounded staleness to understand the impact of staleness and non-IID data. Experiments implemented on both benchmark and synthetic FL datasets show that WKAFL has better overall performance compared to existing algorithms.
Continuum limits of random matrices and the Brownian carousel
Creators: name: Valko, Benedek
name: Virag, Balint
Publisher: name: arXiv
Year: 2007
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We show that at any location away from the spectral edge, the eigenvalues of the Gaussian unitary ensemble and its general beta siblings converge to Sine_beta, a translation invariant point process. This process has a geometric description in term of the Brownian carousel, a deterministic function of Brownian motion in the hyperbolic plane. The Brownian carousel, a description of the a continuum limit of random matrices, provides a convenient way to analyze the limiting point processes. We show that the gap probability of Sine_beta is continuous in the gap size and $β$, and compute its asymptotics for large gaps. Moreover, the stochastic differential equation version of the Brownian carousel exhibits a phase transition at beta=2.
description: 53 pages, 3 figures, We corrected some typos and minor mistakes. Some parts have been revised/extended to make them clearer, e.g. Section 5.3
Asymptotic behavior and Liouville-type theorems for axisymmetric stationary Navier-Stokes equations outside of an infinite cylinder with a periodic boundary condition
Creators: name: Kozono, Hideo
name: Terasawa, Yutaka
name: Wakasugi, Yuta
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35Q30, 35B53, 76D05

description: We study the asymptotic behavior of solutions to the steady Navier-Stokes equations outside of an infinite cylinder in $\mathbb{R}^3$. We assume that the flow is periodic in $x_3$-direction and has no swirl. This problem is closely related with two-dimensional exterior problem. Under a condition on the generalized finite Dirichlet integral, we give a pointwise decay estimate of the vorticity at the spatial infinity. Moreover, we prove a Liouville-type theorem only from the condition of the generalized finite Dirichlet integral.
description: 15 pages
The von Mises Graphical Model: Regularized Structure and Parameter Learning (CMU-CS-11-129/CMU-CB-11-101)
Creators: name: Razavian, Narges Sharif
name: Hetunandan  Kamisetty
name: Langmead, Christopher J.
Publisher: name: Carnegie Mellon University
Year: 2010
Subjects: Computational Biology

description: The von Mises distribution is a continuous probability distribution on the circle used in directional statistics. In this paper, we introduce the undirected von Mises Graphical model and present an algorithm for parameter and structure learning using L1 regularization. We show that the learning algorithm is both consistent and statistically efficient. Additionally, we introduce a simple inference algorithm based on Gibbs sampling. We compare the von Mises Graphical Model (VGM) with a Gaussian Graphical Model (GGM) on both synthetic data and on data from protein structures, and demonstrate that the VGM achieves higher accuracy than the GGM.
title: Probing O VI Emission in the Halos of Edge-on Spiral Galaxies
Creators: name: Otte, B
name: Murphy, EM
name: Howk, JC
name: Wang, QD
name: Oegerle, WR
name: Sembach, KR
Publisher: name: University of Massachusetts Amherst
Year: 2003
Subjects: subject: galaxies: general; galaxies: halos; galaxies: individual (NGC 4631
subject: NGC 891); galaxies: ISM; ISM: general; ISM: individual (NGC 4631
subject: NGC 891)
subject: Astrophysics and Astronomy

description: This is the pre-published version harvested from ArXiv. The published version is located at http://iopscience.iop.org/0004-637X/591/2/821/
description: We have used the Far Ultraviolet Spectroscopic Explorer to search for O VI λλ1031.926, 1037.617 emission in the halos of the edge-on spiral galaxies NGC 4631 and NGC 891. In NGC 4631, we detected O VI in emission toward a soft X-ray bubble above a region containing numerous Hα arcs and filaments. The line-of-sight component of the motion of the O VI gas appears to match the underlying disk rotation. The observed O VI luminosities can account for 0.2%-2% of the total energy input from supernovae (assuming a full O VI- emitting halo) and yield mass flux cooling rates between 0.48 and 2.8 M yr-1 depending on the model used in the derivations. On the basis of these findings, we believe it is likely that we are seeing cooling, galactic fountain gas. No emission was detected from the halo of NGC 891, a galaxy in a direction with considerably high foreground Galactic extinction.
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
Creators: name: Chen, Qian
name: Dong, Xingjian
name: Tu, Guowei
name: Wang, Dong
name: Zhao, Baoxuan
name: Peng, Zhike
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Convolutional Neural Networks (CNNs) are widely used in fault diagnosis of mechanical systems due to their powerful feature extraction and classification capabilities. However, the CNN is a typical black-box model, and the mechanism of CNN's decision-making are not clear, which limits its application in high-reliability-required fault diagnosis scenarios. To tackle this issue, we propose a novel interpretable neural network termed as Time-Frequency Network (TFN), where the physically meaningful time-frequency transform (TFT) method is embedded into the traditional convolutional layer as an adaptive preprocessing layer. This preprocessing layer named as time-frequency convolutional (TFconv) layer, is constrained by a well-designed kernel function to extract fault-related time-frequency information. It not only improves the diagnostic performance but also reveals the logical foundation of the CNN prediction in the frequency domain. Different TFT methods correspond to different kernel functions of the TFconv layer. In this study, four typical TFT methods are considered to formulate the TFNs and their effectiveness and interpretability are proved through three mechanical fault diagnosis experiments. Experimental results also show that the proposed TFconv layer can be easily generalized to other CNNs with different depths. The code of TFN is available on https://github.com/ChenQian0618/TFN.
description: 20 pages, 15 figures, 5 tables
The von Mises Graphical Model: Expectation Propagation for Inference (CMU-CS-11-130/CMU-CB-11-102)
Creators: name: Razavian, Narges Sharif
name: Hetunandan  Kamisetty
name: Langmead, Christopher J.
Publisher: name: Carnegie Mellon University
Year: 2011
Subjects: Computational Biology

description: The von Mises model encodes a multivariate circular distribution as an undirected probabilistic graphical model. Presently, the only algorithm for performing inference in the model is Gibbs sampling, which becomes inefficient for large graphs. To address this issue, we introduce an Expectation Propagation based algorithm for performing inference in the von Mises graphical model. Our approach introduces a moment-matching technique for trigonometric functions to approximate the Expectation Propagation messages efficiently. We show that our algorithm has better speed of convergence and similar accuracy compared to Gibbs sampling, on synthetic data as well as real-world data from protein structures.
A bootstrap test to detect prominent Granger-causalities across frequencies
Creators: name: Farné, Matteo
name: Montanari, Angela
Publisher: name: arXiv
Year: 2018
Subjects: subject: Statistical Finance (q-fin.ST)
subject: Applications (stat.AP)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences
subject: 62M15, 62G10, 91B84

description: Granger-causality in the frequency domain is an emerging tool to analyze the causal relationship between two time series. We propose a bootstrap test on unconditional and conditional Granger-causality spectra, as well as on their difference, to catch particularly prominent causality cycles in relative terms. In particular, we consider a stochastic process derived applying independently the stationary bootstrap to the original series. Our null hypothesis is that each causality or causality difference is equal to the median across frequencies computed on that process. In this way, we are able to disambiguate causalities which depart significantly from the median one obtained ignoring the causality structure. Our test shows power one as the process tends to non-stationarity, thus being more conservative than parametric alternatives. As an example, we infer about the relationship between money stock and GDP in the Euro Area via our approach, considering inflation, unemployment and interest rates as conditioning variables. We point out that during the period 1999-2017 the money stock aggregate M1 had a significant impact on economic output at all frequencies, while the opposite relationship is significant only at high frequencies.
Theoretical upper bound on the mass of the LSP in the MNSSM
Creators: name: Hesselbach, S.
name: Miller, D. J.
name: Moortgat-Pick, G.
name: Nevzorov, R.
name: Trusov, M.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the neutralino sector of the Minimal Non-minimal Supersymmetric Standard Model (MNSSM) where the $μ$ problem of the Minimal Supersymmetric Standard Model (MSSM) is solved without accompanying problems related with the appearance of domain walls. In the MNSSM as in the MSSM the lightest neutralino can be the absolutely stable lightest supersymmetric particle (LSP) providing a good candidate for the cold dark matter component of the Universe. In contrast with the MSSM the allowed range of the mass of the lightest neutralino in the MNSSM is limited. We establish the theoretical upper bound on the lightest neutralino mass in the framework of this model and obtain an approximate solution for this mass.
description: 15 pages, 2 figures, references added