cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Tunable tachyon mass in the PT-broken massive Thirring model
Creators: name: Liegeois, Benjamin
name: Ramasubramanian, Chitra
name: Defenu, Nicolo
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the full phase diagram of a non-Hermitian PT-symmetric generalization of the paradigmatic two-dimensional massive Thirring model. Employing the non-perturbative functional renormalization-group, we find that the model hosts a regime where PT symmetry is spontaneously broken. This new phase is characterized by a relevant imaginary mass, corresponding to monstronic excitations displaying exponentially growing amplitudes for time-like intervals and tachyonic (Lieb-Robison-bound breaking, oscillatory) excitations for space-like intervals. Furthermore, since the phase manifests itself as an unconventional attractive spinodal fixed point, which is typically unreachable in finite real-life systems, we find that the effective renormalized mass reached can be tuned through the microscopic parameters of the model. Our results further predict that the new phase is robust to external gauge fields, contrary to the celebrated BKT phase in the PT unbroken sector. The gauge field then provides an effective and easy means to tune the renormalized imaginary mass through a wide range of values, and therefore the amplitude growth/oscillation rate of the corresponding excitations.
description: 14 pages, 4 figures
[Halle (Saale), Universitäts- und Landesbibliothek Sachsen-Anhalt, Morbio 26 (123)]
Creators: name: (:Unkn) Unknown
Publisher: name: Universitäts- und Landesbibliothek Sachsen-Anhalt
Year: 1611
Subjects: subject: Städtische Urkunde
subject: Urkunde
subject: 090

description: Verleihung der Bürgerrechte
Non-commutative waves for gravitational anyons
Creators: name: Inglima, Sergio
name: Schroers, Bernd
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We revisit the representation theory of the quantum double of the universal cover of the Lorentz group in 2+1 dimensions, motivated by its role as a deformed Poincaré symmetry and symmetry algebra in (2+1)-dimensional quantum gravity. We express the unitary irreducible representations in terms of covariant, infinite-component fields on curved momentum space satisfying algebraic spin and mass constraints. Adapting and applying the method of group Fourier transforms, we obtain covariant fields on (2+1)-dimensional Minkowski space which necessarily depend on an additional internal and circular dimension. The momentum space constraints turn into differential or exponentiated differential operators, and the group Fourier transform induces a star product on Minkowski space and the internal space which is essentially a version of Rieffel's deformation quantisation via convolution.
description: 36 pages, 2 figures; minor corrections and additional references (version to appear in Letters in Mathematical Physics)
On the application of generative adversarial networks for nonlinear modal analysis
Creators: name: Tsialiamanis, G.
name: Champneys, M. D.
name: Dervilis, N.
name: Wagg, D. J.
name: Worden, K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: Linear modal analysis is a useful and effective tool for the design and analysis of structures. However, a comprehensive basis for nonlinear modal analysis remains to be developed. In the current work, a machine learning scheme is proposed with a view to performing nonlinear modal analysis. The scheme is focussed on defining a one-to-one mapping from a latent `modal' space to the natural coordinate space, whilst also imposing orthogonality of the mode shapes. The mapping is achieved via the use of the recently-developed cycle-consistent generative adversarial network (cycle-GAN) and an assembly of neural networks targeted on maintaining the desired orthogonality. The method is tested on simulated data from structures with cubic nonlinearities and different numbers of degrees of freedom, and also on data from an experimental three-degree-of-freedom set-up with a column-bumper nonlinearity. The results reveal the method's efficiency in separating the `modes'. The method also provides a nonlinear superposition function, which in most cases has very good accuracy.
Quantum and classical mode softening near the charge-density-wave/superconductor transition of Cu$_{x}$TiSe$_{2}$: Raman spectroscopic studies
Creators: name: Barath, H.
name: Kim, M.
name: Karpus, J. F.
name: Cooper, S. L.
name: Abbamonte, P.
name: Fradkin, E.
name: Morosan, E.
name: Cava, R. J.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Temperature- and x-dependent Raman scattering studies of the charge density wave (CDW) amplitude modes in CuxTiSe2 show that the amplitude mode frequency omega_o exhibits identical power-law scaling with the reduced temperature, T/T_CDW, and the reduced Cu content, x/x_c, i.e., omega_o ~ (1 - p)^0.15 for p = T/T_CDW or x/x_c, suggesting that mode softening is independent of the control parameter used to approach the CDW transition. We provide evidence that x-dependent mode softening in CuxTiSe2 is caused by the reduction of the electron-phonon coupling constant lambda due to expansion of the lattice, and that x-dependent `quantum' (T ~ 0) mode softening reveals a quantum critical point within the superconductor phase of CuxTiSe2.
description: 5 pages, 4 figures, uses docs.sty
Generative models of conformational dynamics.
Creators: name: Langmead, Christopher J.
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: Computational Biology

description: Atomistic simulations of the conformational dynamics of proteins can be performed using either Molecular Dynamics or Monte Carlo procedures. The ensembles of three-dimensional structures produced during simulation can be analyzed in a number of ways to elucidate the thermodynamic and kinetic properties of the system. The goal of this chapter is to review both traditional and emerging methods for learning generative models from atomistic simulation data. Here, the term 'generative' refers to a model of the joint probability distribution over the behaviors of the constituent atoms. In the context of molecular modeling, generative models reveal the correlation structure between the atoms, and may be used to predict how the system will respond to structural perturbations. We begin by discussing traditional methods, which produce multivariate Gaussian models. We then discuss GAMELAN (GRAPHICAL MODELS OF ENERGY LANDSCAPES), which produces generative models of complex, non-Gaussian conformational dynamics (e.g., allostery, binding, folding, etc.) from long timescale simulation data.
title: Non-equilibrium ionization model for stellar cluster winds and its application
Creators: name: Ji, L
name: Wang, QD
name: Kwan, J
Publisher: name: University of Massachusetts Amherst
Year: 2006
Subjects: subject: * atomic processes; * plasmas; * stars: winds
subject: outflows; * open clusters and associations: individual: NGC 3603; * X-rays: general
subject: Astrophysics and Astronomy

description: This is the pre-published version harvested from ArXiv. The published version is located at http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2006.10809.x/abstract
description: We have developed a self-consistent physical model for superstellar cluster winds based on combining a 1D steady-state adiabatic wind solution and a non-equilibrium ionization calculation. Comparing with the case of collisional ionization equilibrium, we find that the non-equilibrium ionization effect is significant in the regime of a high ratio of energy to mass input rate and manifests in a stronger soft X-ray flux in the inner region of the star cluster. Implementing the model in X-ray data analysis softwares (e.g. xspec) directly facilitates comparisons with X-ray observations. Physical quantities such as the mass and energy input rates of stellar winds can be estimated by fitting observed X-ray spectra. The fitted parameters may then be compared with independent measurements from other wavelengths. Applying our model to the star cluster NGC 3603, we find that the wind accounts for no more than 50 per cent of the total ‘diffuse’ emission, and the derived mass input rate and terminal velocity are comparable to other empirical estimates. The remaining emission most likely originate from numerous low-mass pre-main-sequence stellar objects.
Nonperturbative Decoupling and Effective Field Theory
Creators: name: Hsu, Stephen D. H.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We examine recent claims that nonperturbative effects can prevent the decoupling of a heavy fermion whose mass arises from a Yukawa coupling to a scalar field. We show that in weakly coupled, four dimensional models such as the standard model with heavy mirror fermions the effects of the heavy fermions can always be accounted for by {\it local} operators involving light fields. We contrast this with the case of the 1+1 dimensional Abelian Higgs model, in which there does not appear to be a local effective field theory describing the low energy physics when heavy fermions are integrated out. (Mailer corruption hopefully fixed!)
description: 12 pages no figures. HUTP-93-A019
Using Pulsar Parameter Drifts to Detect Sub-Nanohertz Gravitational Waves
Creators: name: DeRocco, William
name: Dror, Jeff A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Gravitational waves with frequencies below 1~nHz are notoriously difficult to detect. With periods exceeding current experimental lifetimes, they induce slow drifts in observables rather than periodic correlations. Observables with well-known intrinsic contributions provide a means to probe this regime. In this work, we demonstrate the viability of using observed pulsar timing parameters to discover such "ultralow" frequency gravitational waves, presenting two complementary observables for which the systematic shift induced by ultralow-frequency gravitational waves can be extracted. Using existing data for these parameters, we search the ultralow frequency regime for continuous-wave signals, finding a sensitivity near the expected prediction from inspirals of supermassive black holes. We do not see an excess in the data, setting a limit on the strain of $ 1.3 \times 10 ^{ - 12} $ at $ 450~{\rm pHz} $ with a sensitivity dropping approximately quadratically with frequency until $ 10~{\rm pHz}$. Our search method opens a new frequency range for gravitational wave detection and has profound implications for astrophysics, cosmology, and particle physics.
description: 20 pages, 4 figures, 4 appendices; v2: updated to match PRL
Probing the nature of AX J0043-737: Not an 87 ms pulsar in the SMC
Creators: name: Maitra, C.
name: Ballet, J.
name: Esposito, P.
name: Haberl, F.
name: Tiengo, A.
name: Filipovic, M. D.
name: Acero, F.
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: AX J0043-737 is a source in the ASCA catalogue, the nature of which is uncertain. It is most commonly classified as a Crab-like pulsar in the Small Magellanic Cloud (SMC) following apparent detection of pulsations at ~ 87 ms from a single ASCA observation. A follow-up ASCA observation was not able to confirm this, and the X-ray detection of the source has not been reported since. With a dedicated XMM-Newton, observation, we studied the nature of the source. We ascertained the source position, searched for the most probable counterpart and studied the X-ray spectrum. We also analysed other archival observations with the source in the field of view to study its long-term variability. With the good position localisation capability of XMM-Newton, we identify the counterpart of the source as MQS J004241.66--734041.3, an AGN behind the SMC at a redshift of 0.95. The X-ray spectrum can be fitted with an absorbed power law with a photon-index of $Γ=1.7$ which is consistent with that expected from AGNs. By comparing the current XMM-Newton, observation with an archival XMM-Newton and two other ASCA observations of the source, we find signatures of long-term variability which is also a common phenomenon in AGNs. All of the above are consistent with AX J0043-737 being an AGN behind the SMC.
description: 5 pages, 3 figures, Accepted for publication in A&A
The separability of tripartite Gaussian state with amplification and amplitude damping
Creators: name: Chen, Xiao-yu
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Tripartite three mode Gaussian state undergoes parametric amplification and amplitude damping as well as thermal noise is studied. In the case of a state totally symmetrically interacting with the environment, the time dependent correlation matrix of the state in evolution is given. The conditions for fully separability and fully entanglement of the final tripartite three mode Gaussian state are worked out.
description: 9 pages, 3 figures
Spontaneous Breaking of R parity in the Minimal Supersymmetric Standard Model Revisited
Creators: name: Comelli, D.
name: Masiero, A.
name: Pietroni, M.
name: Riotto, A.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We reconsider the possibility of spontaneous breaking of $R$ parity in the Minimal Supersymmetric Standard Model. By a renormalization group analysis we find the parameter space in which a sneutrino gets a vacuum expectation value, leading to the spontaneous breaking of the lepton number and to the appearance of a phenomenologically unacceptable massless Goldstone boson. We then analyze the effect of operators giving rise to a tiny amount of explicit violation of lepton number, which could emerge as remnants of physics at some superheavy (Planck or GUT) scale in the low energy effective theory. We show that the conspiracy between the spontaneous and the explicit breaking scales can provide a mass to the Goldstone boson larger than the ${\rm Z}^0$ boson mass, hence allowing for a non vanishing sneutrino vacuum expectation value without increasing the invisible width of the ${\rm Z}^0$.
description: 10 pages, DFPD 93/TH/68, UTS-DFT-93-27, SISSA 93/168/A preprints, 2 figures available upon e-mail request
A celestial gamma-ray foreground due to the albedo of small solar system bodies and a remote probe of the interstellar cosmic ray spectrum
Creators: name: Moskalenko, Igor V.
name: Porter, Troy A.
name: Digel, Seth W.
name: Michelson, Peter F.
name: Ormes, Jonathan F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We calculate the gamma-ray albedo flux from cosmic-ray (CR) interactions with the solid rock and ice in Main Belt asteroids (MBAs), Jovian and Neptunian Trojan asteroids, and Kuiper Belt objects (KBOs) using the Moon as a template. We show that the gamma-ray albedo for the Main Belt, Trojans, and Kuiper Belt strongly depends on the small-body size distribution of each system. Based on an analysis of the Energetic Gamma Ray Experiment Telescope (EGRET) data we infer that the diffuse emission from the MBAs, Trojans, and KBOs has an integrated flux of less than ~6x10^{-6} cm^{-2} s^{-1} (100-500 MeV), which corresponds to ~12 times the Lunar albedo, and may be detectable by the forthcoming Gamma Ray Large Area Space Telescope (GLAST). If detected by GLAST, it can provide unique direct information about the number of small bodies in each system that is difficult to assess by any other method. Additionally, the KBO albedo flux can be used to probe the spectrum of CR nuclei at close-to-interstellar conditions. The orbits of MBAs, Trojans, and KBOs are distributed near the ecliptic, which passes through the Galactic center and high Galactic latitudes. Therefore, the asteroid gamma-ray albedo has to be taken into account when analyzing weak gamma-ray sources close to the ecliptic, especially near the Galactic center and for signals at high Galactic latitudes, such as the extragalactic gamma-ray emission. The asteroid albedo spectrum also exhibits a 511 keV line due to secondary positrons annihilating in the rock. This may be an important and previously unrecognized celestial foreground for the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) observations of the Galactic 511 keV line emission including the direction of the Galactic center.
description: 10 pages, 5 figures, 1 table, emulateapj.cls; ApJ in press. Calculations extended to include Jovian and Neptunian Trojan groups, and Centaurs, in addition to Main Belt Asteroids and Kuiper Belt Objects. Many other considerable changes
Self-Calibration of Mobile Manipulator Kinematic and Sensor Extrinsic Parameters Through Contact-Based Interaction
Creators: name: Limoyo, Oliver
name: Ablett, Trevor
name: Marić, Filip
name: Volpatti, Luke
name: Kelly, Jonathan
Publisher: name: arXiv
Year: 2018
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: We present a novel approach for mobile manipulator self-calibration using contact information. Our method, based on point cloud registration, is applied to estimate the extrinsic transform between a fixed vision sensor mounted on a mobile base and an end effector. Beyond sensor calibration, we demonstrate that the method can be extended to include manipulator kinematic model parameters, which involves a non-rigid registration process. Our procedure uses on-board sensing exclusively and does not rely on any external measurement devices, fiducial markers, or calibration rigs. Further, it is fully automatic in the general case. We experimentally validate the proposed method on a custom mobile manipulator platform, and demonstrate centimetre-level post-calibration accuracy in positioning of the end effector using visual guidance only. We also discuss the stability properties of the registration algorithm, in order to determine the conditions under which calibration is possible.
description: In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'18), Brisbane, Australia, May 21-25, 2018
title: 03 - Common data model clinical data tables: laboratory test results as an example
Creators: name: Raebel, Marsha A.
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
title: 10 - Big data => wisdom
Creators: name: Madigan, David
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Sensing microscopic noise events by frequent quantum measurements
Creators: name: Virzì, Salvatore
name: Knoll, Laura T.
name: Avella, Alessio
name: Piacentini, Fabrizio
name: Gherardini, Stefano
name: Gramegna, Marco
name: Kurizki, Gershon
name: Kofman, Abraham G.
name: Degiovanni, Ivo Pietro
name: Genovese, Marco
name: Caruso, Filippo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose and experimentally demonstrate a general method allowing us to unravel microscopic noise events that affect a continuous quantum variable. Such unraveling is achieved by frequent measurements of a discrete variable coupled to the continuous one. The experimental realization involves photons traversing a noisy channel. There, their polarization, whose coupling to the photons spatial wavepacket is subjected to stochastic noise, is frequently measured in the quantum Zeno regime. The measurements not only preserve the polarization state, but also enable the recording of the full noise statistics from the spatially-resolved detection of the photons emerging from the channel. This method proves the possibility of employing photons as quantum noise sensors and robust carriers of information.
description: 6 pages, 3 figures
Exploring behaviors of stochastic differential equation models of biological systems using change of measures.
Creators: name: Jha, Sumit Kumar
name: Langmead, Christopher J.
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: Computational Biology

description: Stochastic Differential Equations (SDE) are often used to model the stochastic dynamics of biological systems. Unfortunately, rare but biologically interesting behaviors (e.g., oncogenesis) can be difficult to observe in stochastic models. Consequently, the analysis of behaviors of SDE models using numerical simulations can be challenging. We introduce a method for solving the following problem: given a SDE model and a high-level behavioral specification about the dynamics of the model, algorithmically decide whether the model satisfies the specification. While there are a number of techniques for addressing this problem for discrete-state stochastic models, the analysis of SDE and other continuous-state models has received less attention. Our proposed solution uses a combination of Bayesian sequential hypothesis testing, non-identically distributed samples, and Girsanov's theorem for change of measures to examine rare behaviors. We use our algorithm to analyze two SDE models of tumor dynamics. Our use of non-identically distributed samples sampling contributes to the state of the art in statistical verification and model checking of stochastic models by providing an effective means for exposing rare events in SDEs, while retaining the ability to compute bounds on the probability that those events occur.
title: 04 - EHR data methodologies in clinical research: perspectives from the field. Session 1: Semantic harmonization: definition; content; ontologies. Common data models for sharing EHR data across settings
Creators: name: Kahn, Michael G.
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Rigidity of graph products of abelian groups
Creators: name: Gutierrez, Mauricio
name: Piggott, Adam
Publisher: name: arXiv
Year: 2007
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20E34, 20E06

description: We show that if $G$ is a group and $G$ has a graph-product decomposition with finitely-generated abelian vertex groups, then $G$ has two canonical decompositions as a graph product of groups: a unique decomposition in which each vertex group is a directly-indecomposable cyclic group, and a unique decomposition in which each vertex group is a finitely-generated abelian group and the graph satisfies the $T_0$ property. Our results build on results by Droms, Laurence and Radcliffe.
description: 11 pages, 1 figure
Efficient discovery of responses of proteins to compounds using active learning.
Creators: name: Kangas, Joshua D.
name: Armaghan W. Naik
name: Murphy, Robert
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: Computational Biology

description: BACKGROUND: Drug discovery and development has been aided by high throughput screening methods that detect compound effects on a single target. However, when using focused initial screening, undesirable secondary effects are often detected late in the development process after significant investment has been made. An alternative approach would be to screen against undesired effects early in the process, but the number of possible secondary targets makes this prohibitively expensive. RESULTS: This paper describes methods for making this global approach practical by constructing predictive models for many target responses to many compounds and using them to guide experimentation. We demonstrate for the first time that by jointly modeling targets and compounds using descriptive features and using active machine learning methods, accurate models can be built by doing only a small fraction of possible experiments. The methods were evaluated by computational experiments using a dataset of 177 assays and 20,000 compounds constructed from the PubChem database. CONCLUSIONS: An average of nearly 60% of all hits in the dataset were found after exploring only 3% of the experimental space which suggests that active learning can be used to enable more complete characterization of compound effects than otherwise affordable. The methods described are also likely to find widespread application outside drug discovery, such as for characterizing the effects of a large number of compounds or inhibitory RNAs on a large number of cell or tissue phenotypes.
ESVIO: Event-based Stereo Visual Inertial Odometry
Creators: name: Chen, Peiyu
name: Guan, Weipeng
name: Lu, Peng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Event cameras that asynchronously output low-latency event streams provide great opportunities for state estimation under challenging situations. Despite event-based visual odometry having been extensively studied in recent years, most of them are based on monocular and few research on stereo event vision. In this paper, we present ESVIO, the first event-based stereo visual-inertial odometry, which leverages the complementary advantages of event streams, standard images and inertial measurements. Our proposed pipeline achieves temporal tracking and instantaneous matching between consecutive stereo event streams, thereby obtaining robust state estimation. In addition, the motion compensation method is designed to emphasize the edge of scenes by warping each event to reference moments with IMU and ESVIO back-end. We validate that both ESIO (purely event-based) and ESVIO (event with image-aided) have superior performance compared with other image-based and event-based baseline methods on public and self-collected datasets. Furthermore, we use our pipeline to perform onboard quadrotor flights under low-light environments. A real-world large-scale experiment is also conducted to demonstrate long-term effectiveness. We highlight that this work is a real-time, accurate system that is aimed at robust state estimation under challenging environments.
Turán's Theorem for the Fano plane
Creators: name: Bellmann, Louis
name: Reiher, Christian
Publisher: name: arXiv
Year: 2018
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C65, 05D05

description: Confirming a conjecture of Vera T. Sós in a very strong sense, we give a complete solution to Turán's hypergraph problem for the Fano plane. That is we prove for $n\ge 8$ that among all $3$-uniform hypergraphs on $n$ vertices not containing the Fano plane there is indeed exactly one whose number of edges is maximal, namely the balanced, complete, bipartite hypergraph. Moreover, for $n=7$ there is exactly one other extremal configuration with the same number of edges: the hypergraph arising from a clique of order $7$ by removing all five edges containing a fixed pair of vertices. For sufficiently large values $n$ this was proved earlier by Füredi and Simonovits, and by Keevash and Sudakov, who utilised the stability method.
description: revised according to referee reports
Discriminative motif finding for predicting protein subcellular localization.
Creators: name: Tien-Ho  Lin
name: Murphy, Robert
name: Bar-Joseph, Ziv
Publisher: name: Carnegie Mellon University
Year: 2014
Subjects: Computational Biology

description: Many methods have been described to predict the subcellular location of proteins from sequence information. However, most of these methods either rely on global sequence properties or use a set of known protein targeting motifs to predict protein localization. Here, we develop and test a novel method that identifies potential targeting motifs using a discriminative approach based on hidden Markov models (discriminative HMMs). These models search for motifs that are present in a compartment but absent in other, nearby, compartments by utilizing an hierarchical structure that mimics the protein sorting mechanism. We show that both discriminative motif finding and the hierarchical structure improve localization prediction on a benchmark data set of yeast proteins. The motifs identified can be mapped to known targeting motifs and they are more conserved than the average protein sequence. Using our motif-based predictions, we can identify potential annotation errors in public databases for the location of some of the proteins. A software implementation and the data set described in this paper are available from http://murphylab.web.cmu.edu/software/2009_TCBB_motif/.
Asymmetry of the Missing Momentum Distribution in (e,e$'$p) Reactions and Color Trnasparency
Creators: name: Bianconi, A.
name: Boffi, S.
name: Kharzeev, D. E.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We suggest the measurement of the integrated asymmetry of teh missing momentum distribution in (e,e$'$p)reactions to check color transparency effects at intermediate momentum transfers.
description: 8 pages and 3 figures (available from the authors), FNT/T-93-45, University of Pavia
Gravitational Lensing of Schwarzschild and Charged Black Holes Immersed in Perfect Fluid Dark Matter Halo
Creators: name: Qiao, Chen-Kai
name: Zhou, Mi
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Dark matter and dark energy dominate the behavior of our universe. The dark matter usually forms halo structures in large number of galaxies. Properties of dark matter halo can be revealed and understood from the gravitational lensing observations. In this work, a comprehensive study on the gravitational lensing of black holes immersed in dark matter halos is presented. To effectively model the supermassive black hole in a galaxy center (which is surrounded by dark matter halo) in a simple way, we investigate the Schwarzschild black hole and charged Reissner-Nordström black hole immersed in a perfect fluid dark matter halo. In the present work, several basic quantities in gravitational lensing (the gravitational deflection angle of light, photon sphere, black hole shadow radius, gravitational lens equation and Einstein ring) are calculated and analyzed analytically and numerically. A second order analytical expansion of gravitational deflection angle is obtained in the weak deflection limit, and the full gravitational deflection angle (including all order perturbation contributions applicable to both weak and strong deflection limits) is also calculated numerically as comparisons. It enables us to analyze the perfect fluid dark matter influences on gravitational deflection angle and gravitational lensing beyond the leading order, which were not sufficiently studied in previous works. Assuming $M \sim λ_{\text{DM}} \sim Q$, our results show that dark matter can greatly influence the gravitational lensing of central black holes.
description: 31 pages, 10 figures; V2 minor revision; V3 major revision (some errors removed)
Topological plasmons in dimerized chains of nanoparticles: robustness against long-range quasistatic interactions and retardation effects
Creators: name: Downing, Charles A.
name: Weick, Guillaume
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We present a simple model of collective plasmons in a dimerized chain of spherical metallic nanoparticles, an elementary example of a topologically nontrivial nanoplasmonic system. Taking into account long-range quasistatic dipolar interactions throughout the chain, we provide an exact analytical expression for the full quasistatic bandstructure of the collective plasmons. An explicit calculation of the Zak phase proves the robustness of the topological physics of the system against the inclusion of long-range Coulomb interactions, despite the broken chiral symmetry. Using an open quantum systems approach, which includes retardation through the plasmon-photon coupling, we go on to analytically evaluate the resulting radiative frequency shifts of the plasmonic spectrum. The bright plasmonic bands experience size-dependent radiative shifts, while the dark bands are essentially unaffected by the light-matter coupling. Notably, the upper transverse-polarized band presents a logarithmic singularity where the quasistatic spectrum intersects the light cone. At wavevectors away from this intersection and for subwavelength nanoparticles, the plasmon-photon coupling only leads to a quantitative reconstruction of the bandstructure and the topologically-protected states at the edge of the first Brillouin zone are essentially unaffected.
description: 15 pages, 6 figures, published version
The Role of the Guide Field in Relativistic Pair Plasma Reconnection
Creators: name: Zenitani, S.
name: Hoshino, M.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We study the role of the guide field in relativistic magnetic reconnection in a Harris current sheet of pair ($e^{\pm}$) plasmas, using linear theories and particle-in-cell (PIC) simulations. Two-dimensional PIC simulations exhibit the guide field dependence to the linear instabilities; the tearing or reconnection modes are relatively insensitive, while the relativistic drift-kink instability (RDKI), the fastest mode in a relativistic current sheet, is stabilized by the guide field. Particle acceleration in the nonlinear stage is also investigated. A three-dimensional PIC simulation demonstrates that the current sheet is unstable to the RDKI, although small reconnection occurs in the deformed current sheet. Another three-dimensional PIC simulation with a guide field demonstrates a completely different scenario. Secondary magnetic reconnection is triggered by nonlinear coupling of oblique instabilities, which we call the relativistic drift-sausage tearing instability. Therefore, particle acceleration by relativistic guide field reconnection occurs in three-dimensional configuration. Based on the plasma theories, we discuss an important role of the guide field: to enable non-thermal particle acceleration by magnetic reconnection.
description: Astrophysical Journal, 677, 530; 35 pages, 15 figures
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling
Creators: name: Shivakumar, Prashanth Gurunath
name: Li, Haoqi
name: Knight, Kevin
name: Georgiou, Panayiotis
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computation and Language (cs.CL)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Automatic speech recognition (ASR) systems often make unrecoverable errors due to subsystem pruning (acoustic, language and pronunciation models); for example pruning words due to acoustics using short-term context, prior to rescoring with long-term context based on linguistics. In this work we model ASR as a phrase-based noisy transformation channel and propose an error correction system that can learn from the aggregate errors of all the independent modules constituting the ASR and attempt to invert those. The proposed system can exploit long-term context using a neural network language model and can better choose between existing ASR output possibilities as well as re-introduce previously pruned or unseen (out-of-vocabulary) phrases. It provides corrections under poorly performing ASR conditions without degrading any accurate transcriptions; such corrections are greater on top of out-of-domain and mismatched data ASR. Our system consistently provides improvements over the baseline ASR, even when baseline is further optimized through recurrent neural network language model rescoring. This demonstrates that any ASR improvements can be exploited independently and that our proposed system can potentially still provide benefits on highly optimized ASR. Finally, we present an extensive analysis of the type of errors corrected by our system.
title: 09 - Session 3: Missing data; incomplete data; conflicting data
Creators: name: Morton, Sally C.
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Discovering conformational sub-states relevant to protein function.
Creators: name: Ramanathan, Arvind
name: Savol, Andrej J.
name: Langmead, Christopher J.
name: Pratul K. Agarwal
name: Chakra S. Chennubhotla
Publisher: name: Carnegie Mellon University
Year: 2015
Subjects: Computational Biology

description: BACKGROUND: Internal motions enable proteins to explore a range of conformations, even in the vicinity of native state. The role of conformational fluctuations in the designated function of a protein is widely debated. Emerging evidence suggests that sub-groups within the range of conformations (or sub-states) contain properties that may be functionally relevant. However, low populations in these sub-states and the transient nature of conformational transitions between these sub-states present significant challenges for their identification and characterization. METHODS AND FINDINGS: To overcome these challenges we have developed a new computational technique, quasi-anharmonic analysis (QAA). QAA utilizes higher-order statistics of protein motions to identify sub-states in the conformational landscape. Further, the focus on anharmonicity allows identification of conformational fluctuations that enable transitions between sub-states. QAA applied to equilibrium simulations of human ubiquitin and T4 lysozyme reveals functionally relevant sub-states and protein motions involved in molecular recognition. In combination with a reaction pathway sampling method, QAA characterizes conformational sub-states associated with cis/trans peptidyl-prolyl isomerization catalyzed by the enzyme cyclophilin A. In these three proteins, QAA allows identification of conformational sub-states, with critical structural and dynamical features relevant to protein function. CONCLUSIONS: Overall, QAA provides a novel framework to intuitively understand the biophysical basis of conformational diversity and its relevance to protein function.
title: 06 - Use of electronic health record data in the field: conducting randomized studies across diverse practice settings
Creators: name: Doctor, Jason N.
Publisher: name: Mountain Scholar
Year: 2007
Subjects: subject: Data Collection
subject: Biomedical Research

description: This December 11, 2014 think tank discussed issues around the methodologies for optimizing the robustness and use of Electronic Health Records (EHR) data for a variety of clinical research purposes. Experts in both accessing EHR data and study design and analysis methodology using EHR data for research highlighted the challenges, solutions, and needs in this area. Given the potential broad scope of this topic, participants were asked to focus primarily on issues related to the use of EHR on the back end (i.e. the imperfect data as currently collected), rather than strategies to improve the quality of EHR data collected on the ‘front end’ (e.g., data entered by clinicians).
Final-state ππinteractions in Υ(3S)\rightarrowΥ(1S)ππ
Creators: name: Chakravarty, Sumantra
name: Kim, Sun Myong
name: Ko, Pyungwon
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The $m_{ππ}$ spectrum and various angular distributions in $\upss$ are studied including the effects of the $ππ$ phase shift in the $I=L=0$ channel using the lowest order amplitude in the pion momentum expansion. Our results are compared with the recent CLEO data, and we find good agreement except for the $\cosθ_π^*$ distributions. We argue that the $\cosθ_π^*$ distribution, contrary to other distributions, is sensitive to the higher order corrections in the pion momentum expansion. This argument is supported by using an ansatz for the amplitude which is of higher order in the pion momentum expansion and still satisfies the soft pion theorem.
description: REVTeX, 13 pages and 6 figures available upon request, UMN-TH-1207/93
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints
Creators: name: Siddique, Abubakar
name: Medeiros, Henry
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We introduce a novel framework to track multiple objects in overhead camera videos for airport checkpoint security scenarios where targets correspond to passengers and their baggage items. We propose a Self-Supervised Learning (SSL) technique to provide the model information about instance segmentation uncertainty from overhead images. Our SSL approach improves object detection by employing a test-time data augmentation and a regression-based, rotation-invariant pseudo-label refinement technique. Our pseudo-label generation method provides multiple geometrically-transformed images as inputs to a Convolutional Neural Network (CNN), regresses the augmented detections generated by the network to reduce localization errors, and then clusters them using the mean-shift algorithm. The self-supervised detector model is used in a single-camera tracking algorithm to generate temporal identifiers for the targets. Our method also incorporates a multi-view trajectory association mechanism to maintain consistent temporal identifiers as passengers travel across camera views. An evaluation of detection, tracking, and association performances on videos obtained from multiple overhead cameras in a realistic airport checkpoint environment demonstrates the effectiveness of the proposed approach. Our results show that self-supervision improves object detection accuracy by up to $42\%$ without increasing the inference time of the model. Our multi-camera association method achieves up to $89\%$ multi-object tracking accuracy with an average computation time of less than $15$ ms.
description: Mistaken upload. See arXiv:2007.07924 for the latest version
The relation between stellar populations, structure and environment for dwarf elliptical galaxies from the MAGPOP-ITP
Creators: name: Michielsen, D.
name: Boselli, A.
name: Conselice, C. J.
name: Toloba, E.
name: Whiley, I. M.
name: Aragon-Salamanca, A.
name: Balcells, M.
name: Cardiel, N.
name: Cenarro, A. J.
name: Gorgas, J.
name: Peletier, R. F.
name: Vazdekis, A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Dwarf galaxies, as the most numerous type of galaxy, offer the potential to study galaxy formation and evolution in detail in the nearby Universe. Although they seem to be simple systems at first view, they remain poorly understood. In an attempt to alleviate this situation, the MAGPOP EU Research and Training Network embarked on a study of dwarf galaxies named MAGPOP-ITP (Peletier et al., 2007). In this paper, we present the analysis of a sample of 24 dwarf elliptical galaxies (dEs) in the Virgo Cluster and in the field, using optical long-slit spectroscopy. We examine their stellar populations in combination with their light distribution and environment. We confirm and strengthen previous results that dEs are, on average, younger and more metal-poor than normal elliptical galaxies, and that their [alpha/Fe] abundance ratios scatter around solar. This is in accordance with the downsizing picture of galaxy formation where mass is the main driver for the star formation history. We also find new correlations between the luminosity-weighted mean age, the large-scale asymmetry, and the projected Virgocentric distance. We find that environment plays an important role in the termination of the star formation activity by ram pressure stripping of the gas in short timescales, and in the transformation of disky dwarfs to more spheroidal objects by harassment over longer timescales. This points towards a continuing infall scenario for the evolution of dEs.
description: Accepted for publication in MNRAS: 22 pages, 13 figures and 9 tables