cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Effect of the anodization voltage on the porewidening rate of nanoporous anodic alumina
Creators: name: Rahman, Mohammad Mahbubur
name: Garcia-Caurel, Enric
name: Santos, Abel
name: Marsal, Lluis F.
name: Pallares, Josep
name: Ferre-Borrull, Josep
Publisher: name: arXiv
Year: 2012
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: A detailed study of the pore-widening rate of nanoporous anodic alumina layers as a function of the anodization voltage was carried out. The study focuses on samples produced under the same electrolyte and concentration but different anodization voltages within the self-ordering regime. By means of ellipsometry-based optical characterization, it is shown that in the porewidening process, the porosity increases at a faster rate for lower anodization voltages. This opens the possibility of obtaining three-dimensional nanostructured nanoporous anodic alumina with controlled thickness and refractive index of each layer, and with a refractive index difference of up to 0.24 between layers, for samples produced with oxalic acid electrolytes.
Impact parameter dependence of the nuclear modification of J/psi production in d+Au collisions at sqrt(S_NN) = 200 GeV
Creators: name: McGlinchey, D. C.
name: Frawley, A. D.
name: Vogt, R.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The centrality dependence of sqrt(s_NN)= 200 GeV d+Au {J/ψ} data, measured in 12 rapidity bins that span -2.2 < y < 2.4, has been fitted using a model containing an effective absorption cross section combined with EPS09 NLO shadowing. The centrality dependence of the shadowing contribution was allowed to vary nonlinearly, employing a variety of assumptions, in an effort to explore the limits of what can be determined from the data. The impact parameter dependencies of the effective absorption cross section and the shadowing parameterization are sufficiently distinct to be determined separately. It is found that the onset of shadowing is a highly nonlinear function of impact parameter. The mid and backward rapidity absorption cross sections are compared with lower energy data and, for times of 0.05 fm/c or greater, data over a broad range of collision energies and rapidities are well described by a model in which the absorption cross section depends only on time spent in the nucleus.
description: 11 pages, 11 figures. Expanded discussion of methods, and added extensive comparison of effective absorption cross sections with lower energy data, and with theory. Corrected minor typos in table 1, corrected typos in best fit parameters for Fig. 8
Approximation on hexagonal domains by Taylor-Abel-Poisson means
Creators: name: Prestin, Jürgen
name: Savchuk, Viktor
name: Shidlich, Andrii
Publisher: name: arXiv
Year: 2022
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 41A27, 42A16, 41A44

description: Approximative properties of the Taylor-Abel-Poisson linear summation me\-thod of Fourier series are considered for functions of several variables, periodic with respect to the hexagonal domain, in the integral metric. In particular, direct and inverse theorems are proved in terms of approximations of functions by the Taylor-Abel-Poisson means and $K$-functionals generated by radial derivatives. Bernstein type inequalities for $L_1$-norm of high-order radial derivatives of the Poisson kernel are also obtained.
description: arXiv admin note: text overlap with arXiv:1609.09615, arXiv:1901.06275
CarbonTag: A Browser-Based Method for Approximating Energy Consumption of Online Ads
Creators: name: Cabañas, José González
name: Callejo, Patricia
name: Cuevas, Rubén
name: Svatberg, Steffen
name: Torjesen, Tommy
name: Cuevas, Ángel
name: Pastor, Antonio
name: Kotila, Mikko
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Energy is today the most critical environmental challenge. The amount of carbon emissions contributing to climate change is significantly influenced by both the production and consumption of energy. Measuring and reducing the energy consumption of services is a crucial step toward reducing adverse environmental effects caused by carbon emissions. Millions of websites rely on online advertisements to generate revenue, with most websites earning most or all of their revenues from ads. As a result, hundreds of billions of online ads are delivered daily to internet users to be rendered in their browsers. Both the delivery and rendering of each ad consume energy. This study investigates how much energy online ads use in the rendering process and offers a way for predicting it as part of rendering the ad. To the best of the authors' knowledge, this is the first study to calculate the energy usage of single advertisements in the rendering process. Our research further introduces different levels of consumption by which online ads can be classified based on energy efficiency. This classification will allow advertisers to add energy efficiency metrics and optimize campaigns towards consuming less possible.
Ein bronzezeitlicher Grabhügel bei Eggestedt, Kr. Osterholz
Creators: name: Deichmüller, Jürgen
Publisher: name: Nachrichten aus Niedersachsens Urgeschichte
Year: 2019

description: Nachrichten aus Niedersachsens Urgeschichte, Bd. 33 (1964): Nachrichten aus Niedersachsens Urgeschichte
Modeling Enhancements in DSR, FSR, OLSR under Mobility and Scalability Constraints in VANETs
Creators: name: Javaid, N.
name: Bibi, A.
name: Bouk, S. H.
name: Javaid, A.
name: Sasase, I.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Frequent topological changes due to high mobility is one of the main issues in Vehicular Ad-hoc NETworks (VANETs). In this paper, we model transmission probabilities of 802.11p for VANETs and effect of these probabilities on average transmission time. To evaluate the effect of these probabilities of VANETs in routing protocols, we select Dynamic Source Routing (DSR), Fish-eye State Routing (FSR) and Optimized Link State Routing (OLSR). Framework of these protocols with respect to their packet cost is also presented in this work. A novel contribution of this work is enhancement of chosen protocols to obtain efficient behavior. Extensive simulation work is done to prove and compare the efficiency in terms of high throughput of enhanced versions with default versions of protocols in NS-2. For this comparison, we choose three performance metrics; throughput, End-to-End Delay (E2ED) and Normalized Routing Load (NRL) in different mobilities and scalabilities. Finally, we deduce that enhanced DSR (DSR-mod) outperforms other protocols by achieving 16% more packet delivery for all scalabilities and 28% more throughput in selected mobilities than original version of DSR (DSR-orig).
Quantum Monte Carlo for large chemical systems: Implementing efficient strategies for petascale platforms and beyond
Creators: name: Scemama, Anthony
name: Caffarel, Michel
name: Oseret, Emmanuel
name: Jalby, William
Publisher: name: arXiv
Year: 2012
Subjects: subject: Performance (cs.PF)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Various strategies to implement efficiently QMC simulations for large chemical systems are presented. These include: i.) the introduction of an efficient algorithm to calculate the computationally expensive Slater matrices. This novel scheme is based on the use of the highly localized character of atomic Gaussian basis functions (not the molecular orbitals as usually done), ii.) the possibility of keeping the memory footprint minimal, iii.) the important enhancement of single-core performance when efficient optimization tools are employed, and iv.) the definition of a universal, dynamic, fault-tolerant, and load-balanced computational framework adapted to all kinds of computational platforms (massively parallel machines, clusters, or distributed grids). These strategies have been implemented in the QMC=Chem code developed at Toulouse and illustrated with numerical applications on small peptides of increasing sizes (158, 434, 1056 and 1731 electrons). Using 10k-80k computing cores of the Curie machine (GENCI-TGCC-CEA, France) QMC=Chem has been shown to be capable of running at the petascale level, thus demonstrating that for this machine a large part of the peak performance can be achieved. Implementation of large-scale QMC simulations for future exascale platforms with a comparable level of efficiency is expected to be feasible.
Random Pinning Glass Transition: Hallmarks, Mean-Field Theory and Renormalization Group Analysis
Creators: name: Cammarota, Chiara
name: Biroli, Giulio
Publisher: name: arXiv
Year: 2012
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present a detailed analysis of glass transitions induced by pinning particles at random from an equilibrium configuration. We first develop a mean-field analysis based on the study of p-spin spherical disordered models and then obtain the three dimensional critical behavior by the Migdal-Kadanoff real space renormalization group method. We unveil the important physical differences with the case in which particles are pinned from a random (or very high temperature) configuration. We contrast the pinning particles approach to the ones based on biasing dynamical trajectories with respect to their activity and on coupling to equilibrium configurations. Finally, we discuss numerical and experimental tests.
description: Submitted for publication in J. Chem. Phys. for the special topic issue on the glass transition. 28 Pages
Informationsgrabung in einem Urnenfriedhof der älteren Bronzezeit bei Volkwardingen, Kr. Soltau
Creators: name: Voss, K. L.
Publisher: name: Nachrichten aus Niedersachsens Urgeschichte
Year: 2019

description: Nachrichten aus Niedersachsens Urgeschichte, Bd. 33 (1964): Nachrichten aus Niedersachsens Urgeschichte
Lagrangian Approach to O(2N) Model with $θ$-deformed Target Space
Creators: name: Jahan, A.
name: Nasseri, M.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We use the lagrangian approach to derive the free energy of a O(2N) model with $θ$-deformed target space at finite temperature.
description: slightly modified version of RJP, references added
Hyperoodon ampullatus
Creators: name: Honacki, James H.
name: Kinman, Kenneth E.
name: Koeppl, James W.
Publisher: name: Zenodo
Year: 1982
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Cetacea
Ziphiidae
Hyperoodon
Hyperoodon ampullatus

description: Hyperoodon ampullatus (Forster, 1770). In Kalm, Travels into N. Amer., 1:18. TYPE LOCALITY: U.K., England, Essex, Maldon. DISTRIBUTION: Atlantic Ocean, cold temperate to subarctic waters; perhaps also N. Pacific (Hershkovitz, 1966:146). Possibly Mediterranean Sea (OLR). PROTECTED STATUS: CITES - Appendix II as Order Cetacea. ISIS NUMBER: 5301411005002001001.
description: Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Cetacea, pp. 290-304 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 300, DOI: 10.5281/zenodo.7352983
Dicke superradiance requires interactions beyond nearest-neighbors
Creators: name: Mok, Wai-Keong
name: Asenjo-Garcia, Ana
name: Sum, Tze Chien
name: Kwek, Leong-Chuan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Photon-mediated interactions within an excited ensemble of emitters can result in Dicke superradiance, where the emission rate is greatly enhanced, manifesting as a high-intensity burst at short times. The superradiant burst is most commonly observed in systems with long-range interactions between the emitters, although the minimal interaction range remains unknown. Here, we put forward a new theoretical method to bound the maximum emission rate by upper bounding the spectral radius of an auxiliary Hamiltonian. We harness this tool to prove that for an arbitrary ordered array with only nearest-neighbor interactions in all dimensions, a superradiant burst is not physically observable. We show that Dicke superradiance requires minimally the inclusion of next-nearest-neighbor interactions. For exponentially decaying interactions, the critical coupling is found to be asymptotically independent of the number of emitters in all dimensions, thereby defining the threshold interaction range where the collective enhancement balances out the decoherence effects. Our findings provide key physical insights to the understanding of collective decay in many-body quantum systems, and the designing of superradiant emission in physical systems for applications such as energy harvesting and quantum sensing.
description: 5 pages, 4 figures
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Creators: name: Fang, Jianwu
name: Zhu, Chen
name: Zhang, Pu
name: Yu, Hongkai
name: Xue, Jianru
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Heterogeneous trajectory forecasting is critical for intelligent transportation systems, but it is challenging because of the difficulty of modeling the complex interaction relations among the heterogeneous road agents as well as their agent-environment constraints. In this work, we propose a risk and scene graph learning method for trajectory forecasting of heterogeneous road agents, which consists of a Heterogeneous Risk Graph (HRG) and a Hierarchical Scene Graph (HSG) from the aspects of agent category and their movable semantic regions. HRG groups each kind of road agent and calculates their interaction adjacency matrix based on an effective collision risk metric. HSG of the driving scene is modeled by inferring the relationship between road agents and road semantic layout aligned by the road scene grammar. Based on this formulation, we can obtain effective trajectory forecasting in driving situations, and superior performance to other state-of-the-art approaches is demonstrated by exhaustive experiments on the nuScenes, ApolloScape, and Argoverse datasets.
description: accepted by IEEE Transactions on Intelligent Transportation Systems, 2023
A reverse duality for the ASEP with open boundaries
Creators: name: Schütz, Gunter M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Probability (math.PR)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 82C20

description: We prove a duality between the asymmetric simple exclusion process (ASEP) with non-conservative open boundary conditions and an asymmetric exclusion process with particle-dependent hopping rates and conservative reflecting boundaries. This is a reverse duality in the sense that the duality function relates the measures of the dual processes rather than expectations. Specifically, for a certain parameter manifold of the boundary parameters of the open ASEP this duality expresses the time evolution of a family of shock product measures with $N$ microscopic shocks in terms of the time evolution of $N$ particles in the dual process. The reverse duality also elucidates some so far poorly understood properties of the stationary matrix product measures of the open ASEP given by finite-dimensional matrices.
description: 40 pages
Comparison of non-Markovianity criteria in a qubit system under random external fields
Creators: name: Mannone, Maria
name: Franco, Rosario Lo
name: Compagno, Giuseppe
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We give the map representing the evolution of a qubit under the action of non-dissipative random external fields. From this map we construct the corresponding master equation that in turn allows us to phenomenologically introduce population damping of the qubit system. We then compare, in this system, the time-regions when non-Markovianity is present on the basis of different criteria both for the non-dissipative and dissipative case. We show that the adopted criteria agree both in the non-dissipative case and in the presence of population damping.
description: 8 pages, 1 figure. Some changes made. In press on Physica Scripta T (special issue)
THE EFFECTIVENESS OF USING TECHNOLOGY IN LEARNING ENGLISH
Creators: name: Kenjaeva, Fotima
name: Seytmuratov, Saulat
Publisher: name: Zenodo
Year: 2023

description: This article found out about the effectiveness of using technology in learning English. However, a few studies have shown that the students bring a strong potential to enhance language skills and promote the process of learning English quickly by technology.
Proton structure functions at NLO in the dipole picture with massive quarks
Creators: name: Hänninen, Henri
name: Mäntysaari, Heikki
name: Paatelainen, Risto
name: Penttala, Jani
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We predict heavy quark production cross sections in Deep Inelastic Scattering at high energy by applying the Color Glass Condensate effective theory. We demonstrate that when the calculation is performed consistently at next-to-leading order accuracy with massive quarks it becomes possible, for the first time in the dipole picture with perturbatively calculated center-of-mass energy evolution, to simultaneously describe both light and heavy quark production data at small $x_\mathrm{Bj}$. We furthermore show how the heavy quark cross section data provides additional strong constraints on the extracted non-perturbative initial condition for the small-$x_\mathrm{Bj}$ evolution equations.
description: 7 pages, 3 figures, v2 matches published version
Hyperoodon planifrons Flower 1882
Creators: name: Honacki, James H.
name: Kinman, Kenneth E.
name: Koeppl, James W.
Publisher: name: Zenodo
Year: 1982
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Cetacea
Ziphiidae
Hyperoodon
Hyperoodon planifrons

description: Hyperoodon planifrons Flower, 1882. Proc. Zool. Soc. Lond., 1882:392. TYPE LOCALITY: Australia, Western Australia, Dampier Arch., Lewis Isl. DISTRIBUTION: Southern Hemisphere, circumpolar, temperate to antarctic waters; occasionally into tropical waters. PROTECTED STATUS: CITES - Appendix II as Order Cetacea. ISIS NUMBER: 5301411005002002001.
description: Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Cetacea, pp. 290-304 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 300, DOI: 10.5281/zenodo.7352983
Evading death by vacuum
Creators: name: Barroso, A.
name: Ferreira, P. M.
name: Ivanov, I. P.
name: Santos, Rui
name: Silva, João P.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In the Standard Model, the Higgs potential allows only one minimum at tree-level. But the open possibility that there might be two scalar doublets enriches the vacuum structure, allowing for the risk that we might now be in a metastable state, which we dub the panic vacuum. Current experiments at the LHC are probing the Higgs particle predicted as a result of the spontaneous symmetry breaking. Remarkably, in the two Higgs model with a softly broken U(1) symmetry, the LHC experiments already preclude panic vacuum solutions.
description: 7 pages, 4 figures
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
Creators: name: Hribar, Jernej
name: Hackett, Luke
name: Dusparic, Ivana
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In this paper, we build on advances introduced by the Deep Q-Networks (DQN) approach to extend the multi-objective tabular Reinforcement Learning (RL) algorithm W-learning to large state spaces. W-learning algorithm can naturally solve the competition between multiple single policies in multi-objective environments. However, the tabular version does not scale well to environments with large state spaces. To address this issue, we replace underlying Q-tables with DQN, and propose an addition of W-Networks, as a replacement for tabular weights (W) representations. We evaluate the resulting Deep W-Networks (DWN) approach in two widely-accepted multi-objective RL benchmarks: deep sea treasure and multi-objective mountain car. We show that DWN solves the competition between multiple policies while outperforming the baseline in the form of a DQN solution. Additionally, we demonstrate that the proposed algorithm can find the Pareto front in both tested environments.
Poisson approximation of fixed-degree nodes in weighted random connection models
Creators: name: Hirsch, Christin
name: Jahnel, Benedikt
name: Jhawar, Sanjoy Kumar
name: Juhász, Péter
Publisher: name: Weierstrass Institute
Year: 2023
Subjects: subject: Poisson approximation
subject: scale-free network
subject: inhomogeneous random connection model
subject: weighted random connection model
subject: connectivity
subject: 60D05
subject: 60G70
subject: 60G55
subject: 05C80

description: We present a process-level Poisson-approximation result for the degree-$k$ vertices in a high-density weighted random connection model with preferential-attachment kernel in the unit volume. Our main focus lies on the impact of the left tails of the weight distribution for which we establish general criteria based on their small-weight quantiles. To illustrate that our conditions are broadly applicable, we verify them for weight distributions with polynomial and stretched exponential left tails. The proofs rest on truncation arguments and a recently established quantitative Poisson approximation result for functionals of Poisson point processes.
Distributed Quantization Networks
Creators: name: Sun, John Z.
name: Goyal, Vivek K.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Several key results in distributed source coding offer the intuition that little improvement in compression can be gained from intersensor communication when the information is coded in long blocks. However, when sensors are restricted to code their observations in small blocks (e.g., 1), intelligent collaboration between sensors can greatly reduce distortion. For networks where sensors are allowed to "chat" using a side channel that is unobservable at the fusion center, we provide asymptotically-exact characterization of distortion performance and optimal quantizer design in the high-resolution (low-distortion) regime using a framework called distributed functional scalar quantization (DFSQ). The key result is that chatting can dramatically improve performance even when intersensor communication is at very low rate, especially if the fusion center desires fidelity of a nonlinear computation applied to source realizations rather than fidelity in representing the sources themselves. We also solve the rate allocation problem when communication links have heterogeneous costs and provide a detailed example to demonstrate the theoretical and practical gains from chatting. This example for maximum computation gives insight on the gap between chatting and distributed networks, and how to optimize the intersensor communication.
Solar Energetic Particle Acceleration at a Spherical Shock with the Shock Normal Angle $θ_{B_n}$ Evolving in Space and Time
Creators: name: Chen, Xiaohang
name: Giacalone, Joe
name: Guo, Fan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Plasma Physics (physics.plasm-ph)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: We present a 2D kinematic model to study the acceleration of solar energetic particles (SEPs) at a shock driven by a coronal mass ejection. The shock is assumed to be spherical about an origin that is offset from the center of the Sun. This leads to a spatial and temporal evolution of the angle between the magnetic field and shock normal direction ($θ_{Bn}$) as it propagates through the Parker spiral magnetic field from the lower corona to 1 AU. We find that the high-energy SEP intensity varies significantly along the shock front due to the evolution of $θ_{Bn}$. Generally, the west flank of the shock preferentially accelerates particles to high energies compared to the east flank and shock nose. This can be understood in terms of the rate of acceleration, which is higher at the west flank. Double power-law energy spectra are reproduced in our model as a consequence of the local acceleration and transport effects. These results will help better understand the evolution of SEP acceleration and provide new insights into large SEP events observed by multi-spacecraft, especially those close to the Sun, such as Parker Solar Probe and Solar Orbiter.
Dark energy by natural evolution: Constraining dark energy using Approximate Bayesian Computation
Creators: name: Bernardo, Reginald Christian
name: Grandón, Daniela
name: Said, Jackson Levi
name: Cárdenas, Víctor H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We look at dark energy from a biology inspired viewpoint by means of the Approximate Bayesian Computation (ABC) and late time cosmological observations. We find that dynamical dark energy comes out on top, or in the ABC language naturally selected, over the standard $Λ$CDM cosmological scenario. We confirm this conclusion is robust to whether baryon acoustic oscillations and Hubble constant priors are considered. Our results show that the algorithm prefers low values of the Hubble constant, consistent or at least a few standard deviation away from the cosmic microwave background estimate, regardless of the priors taken initially in each model. This supports the result of the traditional MCMC analysis and could be viewed as strengthening evidence for dynamical dark energy being a more favorable model of late time cosmology.
description: 24 pages, 14 figures, 4 tables, v2: ABC algo details and references added, accepted in Phys. Dark Universe, our codes https://github.com/reggiebernardo/notebooks/tree/main/supp_ntbks_arxiv.2211.05482
Quantum Monte Carlo Study of a Resonant Bose-Fermi Mixture
Creators: name: Bertaina, G.
name: Fratini, E.
name: Giorgini, S.
name: Pieri, P.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We study a resonant Bose-Fermi mixture at zero temperature by using the fixed-node diffusion Monte Carlo method. We explore the system from weak to strong boson-fermion interaction, for different concentrations of the bosons relative to the fermion component. We focus on the case where the boson density $n_B$ is smaller than the fermion density $n_F$, for which a first-order quantum phase transition is found from a state with condensed bosons immersed in a Fermi sea, to a Fermi-Fermi mixture of composite fermions and unpaired fermions. We obtain the equation of state and the phase diagram, and we find that the region of phase separation shrinks to zero for vanishing $n_B$.
description: 5 pages, 3 figures, published version
Indopacetus Moore 1968
Creators: name: Honacki, James H.
name: Kinman, Kenneth E.
name: Koeppl, James W.
Publisher: name: Zenodo
Year: 1982
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Cetacea
Ziphiidae
Indopacetus

description: Indopacetus Moore, 1968. Fieldiana Zool., 53(4):1 11, 254. REVIEWED BY: M. Nishiwaki (MN). COMMENT: MN includes this genus in Mesoplodon; but also see Rice, 1977. PROTECTED STATUS: CITES - Appendix II as Order Cetacea. ISIS NUMBER: 5301411005003000000.
description: Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Cetacea, pp. 290-304 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 300, DOI: 10.5281/zenodo.7352983
description: {"references": ["Rice, D. W. 1977. A list of the marine mammals of the world. Third ed. NOAA Technical Report, NMFS SSRF- 711: 1 - 15."]}
Galactic Center Research: Manifestations of the Central Black Hole
Creators: name: Morris, Mark
name: Meyer, Leo
name: Ghez, Andrea
Publisher: name: arXiv
Year: 2012
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: This review summarizes a few of the frontiers of Galactic center research that are currently the focus of considerable activity and attention. It is aimed at providing a necessarily incomplete sketch of some of the timely work being done on phenomena taking place in, or originating in, the central few parsecs of the Galaxy, with particular attention to topics related to the Galactic black hole (GBH). We have chosen to expand on the following exciting topics: 1) the characterization and the implications for the variability of emission from the GBH, 2) the strong evidence for a powerful X-ray flare in the Galactic center within the past few hundred years, and the likelihood that the GBH is implicated in that event, 3) the prospects for detecting the "shadow" of the GBH, 4) an overview of the current state of research on the central S-star cluster, and what has been learned from the stellar orbits within that cluster, and 5) the current hypotheses for the origin of the G2 dust cloud that is projected to make a close passage by the GBH in 2013.
description: Review article, in press with Review of Astronomy and Astrophysics
Fast electrically switchable large gap quantum spin Hall states in MGe$_2$Z$_4$
Creators: name: Islam, Rajibul
name: Hussain, Ghulam
name: Verma, Rahul
name: Talezadehlari, Mohammad Sadegh
name: Muhammad, Zahir
name: Singh, Bahadur
name: Autieri, Carmine
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Spin-polarized conducting edge currents counterpropagate in quantum spin Hall (QSH) insulators and are protected against disorder-driven localizations by the time-reversal symmetry. Using these spin-currents for device applications require materials having large band gap and fast switchable QSH states. By means of in-depth first-principles calculations, we demonstrate the large band gap and fast switchable QSH state in a newly introduced two-dimensional (2D) material family with 1T$^\prime$-MGe$_2$Z$_4$ (M = Mo or W and Z = P or As). The thermodynamically stable 1T$^\prime$-MoGe$_2$Z$_4$ monolayers have a large energy gap around $\sim$237 meV. These materials undergo a phase transition from a QSH insulator to a trivial insulator with a Rashba-like spin splitting under the influence of an out-of-plane electric field, demonstrating the tunability of the band gap and its band topology. Fast topological phase switching in a large gap 1T$^\prime$-MoGe$_2$Z$_4$ QSH insulators has potential applications in low-power devices, quantum computation, and quantum communication.
Open heavy flavour production via semi-leptonic decay muons in lead lead collisions at $\sqrtsnn = 2.76$ \TeV with the ATLAS detector at the LHC
Creators: name: Chen, Yujiao
Publisher: name: arXiv
Year: 2012
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Measurements of heavy quark production and suppression in ultra-relativistic nuclear collisions probe the interactions of heavy quarks with the hot, dense medium created in the collisions. ATLAS has measured heavy quark production in $\sqrtsnn = 2.76$ \TeV \PbPb collisions via semi-leptonic decays of open heavy flavour hadrons to muons. Results are presented for the per-event muon yield as a function of muon transverse momentum, \pT, over the range of $4 < \pT < 14$ \GeV. The centrality dependence of the muon yields is characterized by the "central to peripheral" ratio, \Rcp. Muon production is suppressed by approximately a factor of two in central collisions relative to peripheral collisions. Within the experimental errors, the observed suppression is independent of muon \pT for all centralities.
Measurement of the azimuthal anisotropy of neutral pions in PbPb collisions at sqrt(s(NN)) = 2.76 TeV
Creators: name: CMS Collaboration
Publisher: name: arXiv
Year: 2012
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: First measurements of the azimuthal anisotropy of neutral pions produced in PbPb collisions at a center-of-mass energy of sqrt(s(NN)) = 2.76 TeV are presented. The amplitudes of the second Fourier component (v2) of the neutral pion azimuthal distributions are extracted using an event-plane technique. The values of v2 are studied as a function of the neutral pion transverse momentum (pt) for different classes of collision centrality in the kinematic range 1.6 < pt < 8.0 GeV, within the pseudorapidity interval abs(eta) < 0.8. The CMS measurements of v2(pt) are similar to previously reported neutral pion azimuthal anisotropy results from sqrt(s(NN)) = 200 GeV AuAu collisions at RHIC, despite a factor of about 14 increase in the center-of-mass energy. In the momentum range 2.5 < pt < 5.0 GeV, the neutral pion anisotropies are found to be smaller than those observed by CMS for inclusive charged particles.
description: Replaced with published version. Added journal reference and DOI
A duplication-free quantum neural network for universal approximation
Creators: name: Hou, Xiaokai
name: Zhou, Guanyu
name: Li, Qingyu
name: Jin, Shan
name: Wang, Xiaoting
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The universality of a quantum neural network refers to its ability to approximate arbitrary functions and is a theoretical guarantee for its effectiveness. A non-universal neural network could fail in completing the machine learning task. One proposal for universality is to encode the quantum data into identical copies of a tensor product, but this will substantially increase the system size and the circuit complexity. To address this problem, we propose a simple design of a duplication-free quantum neural network whose universality can be rigorously proved. Compared with other established proposals, our model requires significantly fewer qubits and a shallower circuit, substantially lowering the resource overhead for implementation. It is also more robust against noise and easier to implement on a near-term device. Simulations show that our model can solve a broad range of classical and quantum learning problems, demonstrating its broad application potential.
description: 15 pages, 10 figures
SUPPORT OF THE FAMILY OF A CHILD WITH DISABILITIES IN THE SYSTEM OF WORK OF THE CENTER  FOR PSYCHOLOGICAL, PEDAGOGICAL, MEDICAL  AND SOCIAL ASSISTANCE
Creators: name: V.V. Atapin
Publisher: name: Zenodo
Year: 2023

description: The article analyzes the stages of providing assistance to families raising children and adolescents with special educational needs within the framework of the activities of the GBU Center for Psychological, Pedagogical, Medical and Social Assistance of the Nevsky district of St. Petersburg. The tasks that each specialist faces are described. The article provides a step-by-step explanation of the solution of the tasks in close connection of all specialists of the center with the families of students. The substantiation of such aspects of the development of psychological and pedagogical support of children with disabilities as the pedagogical competence of parents is given. The analysis of the effectiveness of interaction with parents during the period of correctional and developmental work is carried out.
THE EFFECTS OF THE DESIGNATED HITTER RULE ON INJURY AND COMPENSATION FOR PITCHERS IN MAJOR LEAGUE BASEBALL
Creators: name: Gow, Laurie
Publisher: name: Zenodo
Year: 2022
Subjects: compensating differentials
hedonic wage function
baseball
pitchers

description: Testing of compensating wage differential theory in sports has allowed researchers to capture usually difficult measures of unobserved worker heterogeneity. This study uses MLB pitchers to test for a difference in injury rates and compensation after the adoption of the designated hitter rule by the American League in 1973 and finds a statistical difference in salaries between pitchers between the two leagues. NL starting pitchers earn a higher wage than AL starting pitchers after 1973, but we find no evidence of a difference in, or a higher rate of injuries between pitchers in the two leagues.
Wide-field fluorescence lifetime imaging of neuron spiking and sub-threshold activity in vivo
Creators: name: Bowman, Adam J.
name: Huang, Cheng
name: Schnitzer, Mark J.
name: Kasevich, Mark A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Biological Physics (physics.bio-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The development of voltage-sensitive fluorescent probes suggests fluorescence lifetime as a promising readout for electrical activity in biological systems. Existing approaches fail to achieve the speed and sensitivity required for voltage imaging in neuroscience applications. Here we demonstrate that wide-field electro-optic fluorescence lifetime imaging (EO-FLIM) allows lifetime imaging at kHz frame acquisition rates, spatially resolving action potential propagation and sub-threshold neural activity in live adult Drosophila. Lifetime resolutions of $< 5$ ps at 1 kHz were achieved for single cell voltage recordings. Lifetime readout is limited by photon shot noise and the method provides strong rejection of motion artifacts and technical noise sources. Recordings revealed local transmembrane depolarizations, two types of spikes with distinct fluorescence lifetimes, and phase locking of spikes to an external mechanical stimulus.
description: This is the author's version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on 22 Jun 2023, DOI: https://doi.org/10.1126/science.adf9725
Template banks to search for low-mass binary black holes in advanced gravitational-wave detectors
Creators: name: Brown, Duncan A.
name: Kumar, Prayush
name: Nitz, Alexander H.
Publisher: name: arXiv
Year: 2012
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences
subject: J.2

description: Coalescing binary black holes (BBHs) are among the most likely sources for the Laser Interferometer Gravitational-wave Observatory (LIGO) and its international partners Virgo and KAGRA. Optimal searches for BBHs require accurate waveforms for the signal model and effectual template banks that cover the mass space of interest. We investigate the ability of the second-order post-Newtonian TaylorF2 hexagonal template placement metric to construct an effectual template bank, if the template waveforms used are effective one body waveforms tuned to numerical relativity (EOBNRv2). We find that by combining the existing TaylorF2 placement metric with EOBNRv2 waveforms, we can construct an effectual search for BBHs with component masses in the range 3 Msolar <= m_1, m_2 <= 25 Msolar. We also show that the (computationally less expensive) TaylorF2 post-Newtonian waveforms can be used in place of EOBNRv2 waveforms when M = 2.68 radians, there is no significant loss in the total possible signal-to-noise ratio due to neglecting modes other than l = m = 2 in the template waveforms. For a source population uniformly distributed in spacial volume, over the entire sampled region of the component-mass space, the loss in detection rate (averaged over a uniform distribution of inclination angle and sky-location/polarization angles), remains below ~11%. For binaries with high mass-ratios \textit{and} 0.31 <= ι<= 2.68, including higher order modes could increase the signal-to-noise ratio by as much as 8% in Advanced LIGO. Our results can be used to construct matched-filter searches in Advanced LIGO and Advanced Virgo.
description: 12 pages, 10 figures
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Creators: name: West, Maxwell T.
name: Erfani, Sarah M.
name: Leckie, Christopher
name: Sevior, Martin
name: Hollenberg, Lloyd C. L.
name: Usman, Muhammad
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Emerging Technologies (cs.ET)
subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Machine learning (ML) methods such as artificial neural networks are rapidly becoming ubiquitous in modern science, technology and industry. Despite their accuracy and sophistication, neural networks can be easily fooled by carefully designed malicious inputs known as adversarial attacks. While such vulnerabilities remain a serious challenge for classical neural networks, the extent of their existence is not fully understood in the quantum ML setting. In this work, we benchmark the robustness of quantum ML networks, such as quantum variational classifiers (QVC), at scale by performing rigorous training for both simple and complex image datasets and through a variety of high-end adversarial attacks. Our results show that QVCs offer a notably enhanced robustness against classical adversarial attacks by learning features which are not detected by the classical neural networks, indicating a possible quantum advantage for ML tasks. Contrarily, and remarkably, the converse is not true, with attacks on quantum networks also capable of deceiving classical neural networks. By combining quantum and classical network outcomes, we propose a novel adversarial attack detection technology. Traditionally quantum advantage in ML systems has been sought through increased accuracy or algorithmic speed-up, but our work has revealed the potential for a new kind of quantum advantage through superior robustness of ML models, whose practical realisation will address serious security concerns and reliability issues of ML algorithms employed in a myriad of applications including autonomous vehicles, cybersecurity, and surveillance robotic systems.
description: 10 pages, 5 Figures
Measurement of the t t-bar production cross section in the dilepton channel in pp collisions at sqrt(s) = 7 TeV
Creators: name: CMS Collaboration
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The t t-bar production cross section (sigma[t t-bar]) is measured in proton-proton collisions at sqrt(s) = 7 TeV in data collected by the CMS experiment, corresponding to an integrated luminosity of 2.3 inverse femtobarns. The measurement is performed in events with two leptons (electrons or muons) in the final state, at least two jets identified as jets originating from b quarks, and the presence of an imbalance in transverse momentum. The measured value of sigma[t t-bar] for a top-quark mass of 172.5 GeV is 161.9 +/- 2.5 (stat.) +5.1/-5.0 (syst.) +/- 3.6(lumi.) pb, consistent with the prediction of the standard model.
description: Replaced with published version. Included journal reference and DOI
First measurement of $Λ_\mathrm{c}^{+}$ production down to $p_\mathrm{T} = 0$ in pp and p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV
Creators: name: ALICE Collaboration
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The production of prompt $\mathrm {Λ_{c}^{+}}$ baryons has been measured at midrapidity in the transverse momentum interval $0
description: 28 pages, 6 captioned figures, 7 tables, authors from page 23, published version, fix x-axis title in Fig. 2, figures at http://alice-publications.web.cern.ch/node/8657
Bayesian Sparse Factor Analysis of Genetic Covariance Matrices
Creators: name: Runcie, Daniel E
name: Mukherjee, Sayan
Publisher: name: arXiv
Year: 2012
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Quantitative genetic studies that model complex, multivariate phenotypes are important for both evolutionary prediction and artificial selection. For example, changes in gene expression can provide insight into developmental and physiological mechanisms that link genotype and phenotype. However, classical analytical techniques are poorly suited to quantitative genetic studies of gene expression where the number of traits assayed per individual can reach many thousand. Here, we derive a Bayesian genetic sparse factor model for estimating the genetic covariance matrix (G-matrix) of high-dimensional traits, such as gene expression, in a mixed effects model. The key idea of our model is that we need only consider G-matrices that are biologically plausible. An organism's entire phenotype is the result of processes that are modular and have limited complexity. This implies that the G-matrix will be highly structured. In particular, we assume that a limited number of intermediate traits (or factors, e.g., variations in development or physiology) control the variation in the high-dimensional phenotype, and that each of these intermediate traits is sparse -- affecting only a few observed traits. The advantages of this approach are two-fold. First, sparse factors are interpretable and provide biological insight into mechanisms underlying the genetic architecture. Second, enforcing sparsity helps prevent sampling errors from swamping out the true signal in high-dimensional data. We demonstrate the advantages of our model on simulated data and in an analysis of a published Drosophila melanogaster gene expression data set.
description: 35 pages, 7 figures
Indopacetus pacificus
Creators: name: Honacki, James H.
name: Kinman, Kenneth E.
name: Koeppl, James W.
Publisher: name: Zenodo
Year: 1982
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Cetacea
Ziphiidae
Indopacetus
Indopacetus pacificus

description: Indopacetus pacificus (Longman, 1926). Mem. Queensl. Mus., 8:269. TYPE LOCALITY: Australia, Queensland, off Mackay. DISTRIBUTION: Tropical Indian Ocean to eastern Australia (Coral Sea). COMMENT: Known only from two skulls, the second from Somalia; commonly included in Mesoplodon (JGM). PROTECTED STATUS: CITES - Appendix II as Order Cetacea. ISIS NUMBER: 5301411005003001001.
description: Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Cetacea, pp. 290-304 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 300, DOI: 10.5281/zenodo.7352983