cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Wormhole generating function in $f(R,T)$ gravity
Creators: name: Ghosh, Bikram
name: Mitra, Saugata
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this present work, we have studied the traversable wormhole geometries in $f(R,T)$ gravity theory, where $R$ denotes the Ricci scalar and $T$ is the trace of the energy-momentum tensor. Firstly, two new shape functions are obtained for some assumed generating function. Also, some new generating functions are obtained in wormhole geometry for some well known shape functions and redshift functions. Energy conditions are examined in each wormhole solution and it is found that a particular type of wormhole satisfies all the energy conditions in a region.
Black Hole Thermodynamics
Creators: name: Carlip, S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The discovery in the early 1970s that black holes radiate as black bodies has radically affected our understanding of general relativity, and offered us some early hints about the nature of quantum gravity. In this chapter I will review the discovery of black hole thermodynamics and summarize the many independent ways of obtaining the thermodynamic and (perhaps) statistical mechanical properties of black holes. I will then describe some of the remaining puzzles, including the nature of the quantum microstates, the problem of universality, and the information loss paradox.
description: Invited review article. A few parts based on an earlier review, arXiv:0807.4520. To appear in Int. J. Mod. Phys. D and in "One Hundred Years of General Relativity: Cosmology and Gravity," edited by Wei-Tou Ni (World Scientific, Singapore, 2015). v2: added references and appendix
Robust and efficient estimation in ordinal response models using the density power divergence
Creators: name: Pyne, Arijit
name: Roy, Subhrajyoty
name: Ghosh, Abhik
name: Basu, Ayanendranath
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Neuroscience
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Plant Biology

description:  In real life, we frequently encounter ordinal variables depending upon independent covariates. The latent linear regression model is useful for modelling such data. One can find the model's parameters' maximum likelihood estimate (MLE). Though noted for its optimum properties, a small proportion of outliers may destabilize the MLE. This paper uses the minimum density power divergence estimate (MDPDE) as a robust alternative. The roles of different link functions are analysed in this context. We discuss their asymptotic properties in this setup. Unlike the MLE, the MDPDEs are robust for– lower values of the gross error sensitivity, and very high breakdown point. Also, the slope’s MDPDEs never implode. In simulation studies for pure data, MDPDEs perform almost as good as the MLE. However, the MDPDEs outperform the MLE in data contamination. Moreover, MDPDEs are very competitive with the other robust alternatives. Finally, this article is wrapped up with a real-data example.
Transition of latitudinal differential rotation as a possible cause of weakened magnetic braking of solar-type stars
Creators: name: Tokuno, Takato
name: Suzuki, Takeru K.
name: Shoda, Munehito
Publisher: name: arXiv
Year: 2022
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We investigate the role of latitudinal differential rotation (DR) in the spin evolution of solar-type stars. Recent asteroseismic observation detected the strong equator-fast DR in some solar-type stars. Numerical simulations show that the strong equator-fast DR is a typical feature of young fast-rotating stars and that this tendency is gradually reduced with stellar age. Incorporating these properties, we develop a model for the long-term evolution of stellar rotation. The magnetic braking is assumed to be regulated dominantly by the rotation rate in the low-latitude region. Therefore, in our model, stars with the equator-fast DR spin down more efficiently than those with the rigid-body rotation. We calculate the evolution of stellar rotation in ranges of stellar mass, $0.9 \, \mathrm{M}_{\odot} \le M \le 1.2\, \mathrm{M}_{\odot}$, and metallicity, $0.5\, \mathrm{Z}_{\odot} \le Z \le 2\, \mathrm{Z}_{\odot}$, where $\mathrm{M}_{\odot}$ and $\mathrm{Z}_{\odot}$ are the solar mass and metallicity, respectively. Our model, using the observed torque in the present solar wind, nicely explains both the current solar rotation and the average trend of the rotation of solar-type stars, including the dependence on metallicity. In addition, our model naturally reproduces the observed trend of the weakened magnetic braking in old slowly rotating solar-type stars because strong equator-fast DR becomes reduced. Our results indicate that LDR and its transition are essential factors that control the stellar spin down.
description: 20 pages, 16 figures, 3 table, accepted to MNRAS
Macroscopic fluxes and local reciprocal relation in second-order stochastic processes far from equilibrium
Creators: name: Ge, Hao
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Stochastic process is an essential tool for the investigation of the physical and life sciences at nanoscale. In the first-order stochastic processes widely used in chemistry and biology, only the flux of mass rather than that of heat can be well defined. Here we investigate the two macroscopic fluxes in second-order stochastic processes driven by position-dependent forces and temperature gradient. We prove that the thermodynamic equilibrium defined through the vanishing of macroscopic fluxes is equivalent to that defined via time reversibility at mesoscopic scale. In the small noise limit, we find that the entropy production rate, which has previously been defined by the mesoscopic irreversible fluxes on the phase space, matches the classic macroscopic expression as the sum of the products of macroscopic fluxes and their associated thermodynamic forces. Further we show that the two pairs of forces and fluxes in such a limit follow a linear phenomenonical relation and the associated scalar coefficients always satisfy the reciprocal relation for both transient and steady states. The scalar coefficient is proportional to the square of local temperature divided by the local frictional coefficient and originated from the second moment of velocity distribution along each dimension. This result suggests the very close connection between Soret effect (thermal diffusion) and Dufour effect at nano scale even far from equilibrium.
Effects of mortality on stochastic search processes with resetting
Creators: name: Radice, Mattia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the first-passage time to the origin of a mortal Brownian particle, with mortality rate $ μ$, diffusing in one dimension. The particle starts its motion from $ x>0 $ and it is subject to stochastic resetting with constant rate $ r $. We first unveil the relation between the probability of reaching the target and the mean first-passage time of the corresponding problem in absence of mortality, which allows us to deduce under which conditions the former can be increased by adjusting the restart rate. We then consider the first-passage time conditioned on the event that the particle reaches the target before dying, and provide exact expressions for the mean and the variance as functions of $ r $, corroborated by numerical simulations. By studying the impact of resetting for different mortality regimes, we also show that, if the average lifetime $ τ_μ=1/μ$ is long enough with respect to the diffusive time scale $ τ_D=x^2/(4D) $, there exist both a resetting rate $ r_μ^* $ that maximizes the probability and a rate $ r_m $ that minimizes the mean first-passage time. However, the two never coincide for positive $ μ$, making the optimization problem highly nontrivial.
description: 15 pages, 4 figures. Accepted manuscript version
Stability analysis for new theories of massive spin-two particle and black hole entropy of new bigravity
Creators: name: Ohara, Yuichi
name: Akagi, Satoshi
name: Nojiri, Shin'ichi
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In Phys.\ Rev.\ D 90 043006 (2014), we proposed a new ghost-free massive spin-two model in flat spacetime. Furthermore, as some extension, we couple the new model with a non-dynamical curved background in Phys.\ Rev.\ D 90 123013 (2014) and constructed new interaction terms without appearance of an extra mode. The characteristic property of the new model is the existence of nonlinear potential terms which give the nontrivial vacua. The presence of the nontrivial vacua, however, does not mean that the particle can be defined around all vacua. Therefore, in this paper, we discuss the condition for the new model to have stable vacua in flat spacetime and curved spacetime. Then, we couple this spin-two theory with a dynamical background and obtain the solutions. Moreover, we investigate the effect of this new spin-two model to the Einstein gravity by calculating the black hole entropy since the gravity coupled massive spin-two theory admits a black hole solution in addition to (anti-) de Sitter space solution.
description: LaTeX, 17 pages, 1 figure, version to appear in Physical Review D
Complementarity and the unitarity of the black hole $S$-matrix
Creators: name: Kim, Isaac H.
name: Preskill, John
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Recently, Akers et al. proposed a non-isometric holographic map from the interior of a black hole to its exterior. Within this model, we study properties of the black hole $S$-matrix, which are in principle accessible to observers who stay outside the black hole. Specifically, we investigate a scenario in which an infalling agent interacts with radiation both outside and inside the black hole. Because the holographic map involves postselection, the unitarity of the $S$-matrix is not guaranteed in this scenario, but we find that unitarity is satisfied to very high precision if suitable conditions are met. If the internal black hole dynamics is described by a pseudorandom unitary transformation, and if the operations performed by the infaller have computational complexity scaling polynomially with the black hole entropy, then the $S$-matrix is unitary up to corrections that are superpolynomially small in the black hole entropy. Furthermore, while in principle quantum computation assisted by postselection can be very powerful, we find under similar assumptions that the $S$-matrix of an evaporating black hole has polynomial computational complexity.
description: 39 pages, 92 figures, minor changes, published version
Two-step online estimation and inference for expected shortfall regression with streaming data
Creators: name: Mi, Yajie
name: Wang, Lei
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Neuroscience
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Mathematical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: Expected shortfall, is defined as the average over the tail below (or above) a certain quantile of a probability distribution. The expected shortfall regression (ESR) provides powerful tools for analysing how the covariates affects the tail behaviour of a response variable, thus has drawn widespread attention. Due to the huge storage burden and the privacy limit to re-accessing the historical dataset, traditional methods for ESR are no longer applicable in many application scenarios. In this article, we develop an online two-step ESR estimator based on a Neyman-orthogonal score and the kernel smooth technique, which can be updated only using the current data batch and some summary statistics of historical data. Under some regularity conditions, we establish the non-asymptotic error bounds for the renewable estimators at each step. Moreover, it shows that the online ESR estimator attains the same asymptotic distribution as the offline ESR estimator. Numerical studies and a real data example are provided to evaluate the performance of our proposed method.
Quasi-greedy bases for sequences with gaps
Creators: name: Berasategui, Miguel
name: Berná, Pablo M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 41A65, 41A46, 46B15, 46B45

description: In this paper, we establish new advances in the theory started by T. Oikhberg in [15] where the author joins greedy approximation theory with the use of sequences with gaps. Concretely, we address and partially answer three open questions related to quasi-greedy bases for sequences with gaps posed in [15, Section 6].
description: updated title, added doi
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel
Creators: name: Yoo, Soyoung
name: Lee, Sunghee
name: Kim, Seongsin
name: Hwang, Kwang Hyeon
name: Park, Jong Ho
name: Kang, Namwoo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This study proposes a deep learning-based CAD/CAE framework in the conceptual design phase that automatically generates 3D CAD designs and evaluates their engineering performance. The proposed framework comprises seven stages: (1) 2D generative design, (2) dimensionality reduction, (3) design of experiment in latent space, (4) CAD automation, (5) CAE automation, (6) transfer learning, and (7) visualization and analysis. The proposed framework is demonstrated through a road wheel design case study and indicates that AI can be practically incorporated into an end-use product design project. Engineers and industrial designers can jointly review a large number of generated 3D CAD models by using this framework along with the engineering performance results estimated by AI and find conceptual design candidates for the subsequent detailed design stage.
A new approach to estimate parameters of the two-parameter Weibull distribution
Creators: name: Karahasan, Mehmet
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: This study proposes a new approach to estimate the parameters of the two-parameter Weibull distribution in the case of complete (uncensored) or doubly Type II censored samples. The proposed estimators have closed forms and can be adapted to Type II right or Type II left censored samples. The new estimators are strongly consistent and the new shape estimator follows asymptotically a normal and the new scale estimator a lognormal distribution. Bias, mean square and efficiency performance of the new estimators are investigated through simulations and compared to some known estimation methods such as maximum likelihood estimation, method of moments, quantile estimation, maximum goodness of fit estimation, L-moments, U-statistics and bias-corrected maximum likelihood. According to the simulations, the newly proposed estimators seem to have good efficiency performance in comparison to the other methods, particularly in small samples. Furthermore, two real data sets are used to illustrate the new estimators.
Supplementary information from Gene transferability and sociality do not correlate with gene connectivity
Creators: name: Hao, Chunhui
name: Dewar, Anna E.
name: West, Stuart A.
name: Ghoul, Melanie
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: 60102 Bioinformatics
subject: FOS: Computer and information sciences

description: Supplementary tables and figures
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Creators: name: Shu, Hai
name: Shi, Ronghua
name: Jia, Qiran
name: Zhu, Hongtu
name: Chen, Ziqi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Deep neural networks (DNNs) have achieved great success in image classification, but can be very vulnerable to adversarial attacks with small perturbations to images. To improve adversarial image generation for DNNs, we develop a novel method, called mFI-PSO, which utilizes a Manifold-based First-order Influence measure for vulnerable image and pixel selection and the Particle Swarm Optimization for various objective functions. Our mFI-PSO can thus effectively design adversarial images with flexible, customized options on the number of perturbed pixels, the misclassification probability, and the targeted incorrect class. Experiments demonstrate the flexibility and effectiveness of our mFI-PSO in adversarial attacks and its appealing advantages over some popular methods.
description: Accepted by 2022 International Joint Conference on Neural Networks (IJCNN)
DEAP-3600 Dark Matter Search
Creators: name: DEAP Collaboration
name: Amaudruz, P. -A.
name: Batygov, M.
name: Beltran, B.
name: Bonatt, J.
name: Boulay, M. G.
name: Broerman, B.
name: Bueno, J. F.
name: Butcher, A.
name: Cai, B.
name: Chen, M.
name: Chouinard, R.
name: Cleveland, B. T.
name: Dering, K.
name: DiGioseffo, J.
name: Duncan, F.
name: Flower, T.
name: Ford, R.
name: Giampa, P.
name: Gorel, P.
name: Graham, K.
name: Grant, D. R.
name: Guliyev, E.
name: Hallin, A. L.
name: Hamstra, M.
name: Harvey, P.
name: Jillings, C. J.
name: Kuźniak, M.
name: Lawson, I.
name: Li, O.
name: Liimatainen, P.
name: Majewski, P.
name: McDonald, A. B.
name: McElroy, T.
name: McFarlane, K.
name: Monroe, J.
name: Muir, A.
name: Nantais, C.
name: Ng, C.
name: Noble, A. J.
name: Ouellet, C.
name: Palladino, K.
name: Pasuthip, P.
name: Peeters, S. J. M.
name: Pollmann, T.
name: Rau, W.
name: Retière, F.
name: Seeburn, N.
name: Singhrao, K.
name: Skensved, P.
name: Smith, B.
name: Sonley, T.
name: Tang, J.
name: Vázquez-Jáuregui, E.
name: Veloce, L.
name: Walding, J.
name: Ward, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The DEAP-3600 experiment is located 2 km underground at SNOLAB, in Sudbury, Ontario. It is a single-phase detector that searches for dark matter particle interactions within a 1000-kg fiducial mass target of liquid argon. A first generation prototype detector (DEAP-1) with a 7-kg liquid argon target mass demonstrated a high level of pulse-shape discrimination (PSD) for reducing $β$/$γ$ backgrounds and helped to develop low radioactivity techniques to mitigate surface-related $α$ backgrounds. Construction of the DEAP-3600 detector is nearly complete and commissioning is starting in 2014. The target sensitivity to spin-independent scattering of Weakly Interacting Massive Particles (WIMPs) on nucleons of 10$^{-46}$ cm$^2$ will allow one order of magnitude improvement in sensitivity over current searches at 100 GeV WIMP mass. This paper presents an overview and status of the DEAP-3600 project and discusses plans for a future multi-tonne experiment, DEAP-50T.
description: International Conference on High Energy Physics (ICHEP 2014), Valencia, 2014
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
Creators: name: Pelegrina, Guilherme D.
name: Brotto, Renan D. B.
name: Duarte, Leonardo T.
name: Attux, Romis
name: Romano, João M. T.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups. For instance, in the projected space, a specific class can be better represented in comparison with another one. In some situations, this unfair result may introduce ethical concerns. Aiming at overcoming this inconvenience, a fairness measure can be considered when performing dimensionality reduction through Principal Component Analysis. However, a solution that increases fairness tends to increase the overall re-construction error. In this context, this paper proposes to address this trade-off by means of a multi-objective-based approach. For this purpose, we adopt a fairness measure associated with the disparity between the representation errors of different groups. Moreover, we investigate if the solution of a classical Principal Component Analysis can be used to find a fair projection. Numerical experiments attest that a fairer result can be achieved with a very small loss in the overall reconstruction error.
Early-Forming Massive Stars Suppress Star Formation and Hierarchical Cluster Assembly
Creators: name: Lewis, Sean C.
name: McMillan, Stephen L. W.
name: Mac Low, Mordecai-Mark
name: Cournoyer-Cloutier, Claude
name: Polak, Brooke
name: Wilhelm, Martijn J. C.
name: Tran, Aaron
name: Sills, Alison
name: Zwart, Simon Portegies
name: Klessen, Ralf S.
name: Wall, Joshua E.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Feedback from massive stars plays an important role in the formation of star clusters. Whether a very massive star is born early or late in the cluster formation timeline has profound implications for the star cluster formation and assembly processes. We carry out a controlled experiment to characterize the effects of early-forming massive stars on star cluster formation. We use the star formation software suite \texttt{Torch}, combining self-gravitating magnetohydrodynamics, ray-tracing radiative transfer, $N$-body dynamics, and stellar feedback to model four initially identical $10^4$ M$_\odot$ giant molecular clouds with a Gaussian density profile peaking at $521.5 \mbox{ cm}^{-3}$. Using the \texttt{Torch} software suite through the \texttt{AMUSE} framework we modify three of the models to ensure that the first star that forms is very massive (50, 70, 100 M$_\odot$). Early-forming massive stars disrupt the natal gas structure, resulting in fast evacuation of the gas from the star forming region. The star formation rate is suppressed, reducing the total mass of stars formed. Our fiducial control model without an early massive star has a larger star formation rate and total efficiency by up to a factor of three and a higher average star formation efficiency per free-fall time by up to a factor of seven. Early-forming massive stars promote the buildup of spatially separate and gravitationally unbound subclusters, while the control model forms a single massive cluster.
description: 17 pages, 7 figures. Published in ApJ
РЕЧЕВОЙ ЭТИКЕТ ДЕЛОВОГО ОБЩЕНИЯ, ОСОБЕННОСТИ МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ В ДЕЛОВЫХ ПЕРЕГОВОРАХ
Creators: name: Расулова, Н.Ф.
name: Исомова, Д.М.
Publisher: name: Zenodo
Year: 2024

description: Национальные особенности, религиозные традиции, климат, исторически сложившиеся моральные нормы оказывают влияние на то, как бизнесмены одеваются, ведут себя, что считают приличным и достойным, и что является знаком ненадежности или неуважения к деловому партнеру. Однако, несмотря на существующие отличия в национальных традициях и правилах в разных странах современного мира, основные принципы, заложенные многовековой практикой торгового взаимодействия между разными народами и культурами, часто берущими начало с античных времен, остаются постоянными. Речь идет об уважении к деловому партнеру и его времени, уважении сто права на личную жизнь и собственность, поддержание определенной дистанции при деловом общении, уважение к особенностям культуры и традиций, а также к истории страны-пребывания.
The risks of the neglected world of the last mile food delivery
Creators: name: Malak, Ganna Abd El
Publisher: name: Zenodo
Year: 2023
Subjects: HACCP
Food delivery
Grocery delivery
Food labelling
Fair information practices
Food hygiene
Last mile delivery

description: The goal of this thesis is to discuss all the risks involved in last mile food delivery and express grocery delivery, focusing on microbiological and chemical risks as well as redefining GMPs and CCPs. Furthermore, the dissertation hopes to analyse the sanctions framework and the current legislation vacuum towards this unregulated foodservice, to propose better preventive measures and best practices.
title: GEI 044: Iasos. Decree for Distribution of Ekklesiastikon
Creators: name: Perucca, Alessandro
Publisher: name: Laboratorio di Storia, Archeologia, Epigrafia e Tradizione dell'antico (SAET) - Scuola Normale Superiore
Year: 2023
Subjects: subject: Epigraphy, ancient Greek economy

description: Edition and commentary of "Iasos. Decree for Distribution of Ekklesiastikon"
Transporting Robotic Swarms via Mean-Field Feedback Control
Creators: name: Zheng, Tongjia
name: Han, Qing
name: Lin, Hai
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: Robotics (cs.RO)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: With the rapid development of AI and robotics, transporting a large swarm of networked robots has foreseeable applications in the near future. Existing research in swarm robotics has mainly followed a bottom-up philosophy with predefined local coordination and control rules. However, it is arduous to verify the global requirements and analyze their performance. This motivates us to pursue a top-down approach, and develop a provable control strategy for deploying a robotic swarm to achieve a desired global configuration. Specifically, we use mean-field partial differential equations (PDEs) to model the swarm and control its mean-field density (i.e., probability density) over a bounded spatial domain using mean-field feedback. The presented control law uses density estimates as feedback signals and generates corresponding velocity fields that, by acting locally on individual robots, guide their global distribution to a target profile. The design of the velocity field is therefore centralized, but the implementation of the controller can be fully distributed -- individual robots sense the velocity field and derive their own velocity control signals accordingly. The key contribution lies in applying the concept of input-to-state stability (ISS) to show that the perturbed closed-loop system (a nonlinear and time-varying PDE) is locally ISS with respect to density estimation errors. The effectiveness of the proposed control laws is verified using agent-based simulations.
A Large Muon EDM from Dark Matter
Creators: name: Khaw, Kim Siang
name: Nakai, Yuichiro
name: Sato, Ryosuke
name: Shigekami, Yoshihiro
name: Zhang, Zhihao
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We explore a model of dark matter (DM) that can explain the reported discrepancy in the muon anomalous magnetic moment and predict a large electric dipole moment (EDM) of the muon. The model contains a DM fermion and new scalars whose exclusive interactions with the muon radiatively generate the observed muon mass. Constraints from DM direct and indirect detection experiments as well as collider searches are safely evaded. The model parameter space that gives the observed DM abundance and explains the muon $g-2$ anomaly leads to the muon EDM of $d_μ \simeq (4$-$5) \times 10^{-22} \, e \, {\rm cm}$ that can be probed by the projected PSI muEDM experiment. Another viable parameter space even achieves $d_μ = \mathcal{O}(10^{-21}) \, e \, {\rm cm}$ reachable by the ongoing Fermilab Muon $g-2$ experiment and the future J-PARC Muon $g-2$/EDM experiment.
description: 41 pages, 5 figures, v2
Quantum correlations of two qubits interacting with a macroscopic medium
Creators: name: Liu, Yan
name: Lu, Jing
name: Zhou, Lan
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We consider two particles of spin-1/2 interacting with a one-dimensional N-spin array, which is an exactly solvable model. The dynamics of entanglement and quantum discord (QD) of the spins of the two particles is investigated by regarding the 1D N-spin array as the environment. It is found that although the entanglement may suffers a sudden death and a sudden birth in the evolution, it can neither be generated nor become larger than its initial value. Different from the entanglement dynamics, QD can be amplified, and even be generated by the interaction between particles and the common environment. We also observe that QD decays asymptotically to zero and later experiences a rival when the average number of excitation in the 1D N-spin array becomes larger in the case of nonzero inter-distance between two particles.
description: 8 pages, 7 figures
Nonsingular Gaussian actions: beyond the mixing case
Creators: name: Marrakchi, Amine
name: Vaes, Stefaan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Dynamical Systems (math.DS)
subject: Group Theory (math.GR)
subject: Operator Algebras (math.OA)
subject: FOS: Mathematics

description: Every affine isometric action $α$ of a group $G$ on a real Hilbert space gives rise to a nonsingular action $\hatα$ of $G$ on the associated Gaussian probability space. In the recent paper [AIM19], several results on the ergodicity and Krieger type of these actions were established when the underlying orthogonal representation $π$ of $G$ is mixing. We develop new methods to prove ergodicity when $π$ is only weakly mixing. We determine the type of $\hatα$ in full generality. Using Cantor measures, we give examples of type III$_1$ ergodic Gaussian actions of $\mathbb{Z}$ whose underlying representation is non mixing, and even has a Dirichlet measure as spectral type. We also provide very general ergodicity results for Gaussian skew product actions.
description: v3: minor changes, final version, to appear in Advances in Mathematics
No Weak Local Rules for the 4p-Fold Tilings
Creators: name: Bédaride, Nicolas
name: Fernique, Thomas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Dynamical Systems (math.DS)
subject: Discrete Mathematics (cs.DM)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: 37B50, 52C23

description: On the one hand, Socolar showed in 1990 that the n-fold planar tilings admit weak local rules when n is not divisible by 4 (the n=10 case corresponds to the Penrose tilings and is known since 1974). On the other hand, Burkov showed in 1988 that the 8-fold tilings do not admit weak local rules, and Le showed the same for the 12-fold tilings (unpublished). We here show that this is actually the case for all the 4p-fold tilings.
description: 14 pages, 6 figures
All-Photonic Quantum Repeater for Multipartite Entanglement Generation
Creators: name: Li, Chen-Long
name: Fu, Yao
name: Liu, Wen-Bo
name: Xie, Yuan-Mei
name: Li, Bing-Hong
name: Zhou, Min-Gang
name: Yin, Hua-Lei
name: Chen, Zeng-Bing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum network applications like distributed quantum computing and quantum secret sharing present a promising future network equipped with quantum resources. Entanglement generation and distribution over long distances is critical and unavoidable to utilize quantum technology in a fully-connected network. The distribution of bipartite entanglement over long distances has seen some progresses, while the distribution of multipartite entanglement over long distances remains unsolved. Here we report a two-dimensional quantum repeater protocol for the generation of multipartite entanglement over long distances with all-photonic framework to fill this gap. The yield of the proposed protocol shows long transmission distance under various numbers of network users. With the improved efficiency and flexibility of extending the number of users, we anticipate that our protocol can work as a significant building block for quantum networks in the future.
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
Creators: name: Tran, Hung Nghiep
name: Takasu, Atsuhiro
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Knowledge graph completion is an important task that aims to predict the missing relational link between entities. Knowledge graph embedding methods perform this task by representing entities and relations as embedding vectors and modeling their interactions to compute the matching score of each triple. Previous work has usually treated each embedding as a whole and has modeled the interactions between these whole embeddings, potentially making the model excessively expensive or requiring specially designed interaction mechanisms. In this work, we propose the multi-partition embedding interaction (MEI) model with block term format to systematically address this problem. MEI divides each embedding into a multi-partition vector to efficiently restrict the interactions. Each local interaction is modeled with the Tucker tensor format and the full interaction is modeled with the block term tensor format, enabling MEI to control the trade-off between expressiveness and computational cost, learn the interaction mechanisms from data automatically, and achieve state-of-the-art performance on the link prediction task. In addition, we theoretically study the parameter efficiency problem and derive a simple empirically verified criterion for optimal parameter trade-off. We also apply the framework of MEI to provide a new generalized explanation for several specially designed interaction mechanisms in previous models. The source code is released at https://github.com/tranhungnghiep/MEI-KGE.
description: Accepted at the European Conference on Artificial Intelligence (ECAI), 2020; add source code; update appendix
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis
Creators: name: Lee, Sunghee
name: Yoo, Soyoung
name: Kim, Seongsin
name: Kim, Eunji
name: Kang, Namwoo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: With the advancement of self-driving technology, the commercialization of Robo-taxi services is just a matter of time. However, there is some skepticism regarding whether such taxi services will be successfully accepted by real customers due to perceived safety-related concerns; therefore, studies focused on user experience have become more crucial. Although many studies statistically analyze user experience data obtained by surveying individuals' perceptions of Robo-taxi or indirectly through simulators, there is a lack of research that statistically analyzes data obtained directly from actual Robo-taxi service experiences. Accordingly, based on the user experience data obtained by implementing a Robo-taxi service in the downtown of Seoul and Daejeon in South Korea, this study quantitatively analyzes the effect of user experience on user acceptance through structural equation modeling and path analysis. We also obtained balanced and highly valid insights by reanalyzing meaningful causal relationships obtained through statistical models based on in-depth interview results. Results revealed that the experience of the traveling stage had the greatest effect on user acceptance, and the cutting edge of the service and apprehension of technology were emotions that had a great effect on user acceptance. Based on these findings, we suggest guidelines for the design and marketing of future Robo-taxi services.
Underlying data: Antecedents of Patient’s Revisit Intention: Mediating role of Trust in the Hospital among Patients in India
Creators: name: Akthar, Nahima
name: Nayak, Dr. Smitha
name: P, Dr. Yogesh Pai
Publisher: name: figshare
Year: 2022
Subjects: subject: 150399 Business and Management not elsewhere classified
subject: FOS: Economics and business

description: The underlying data contains the complete dataset.
Cellular-automaton decoders for topological quantum memories
Creators: name: Herold, Michael
name: Campbell, Earl T.
name: Eisert, Jens
name: Kastoryano, Michael J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We introduce a new framework for constructing topological quantum memories, by recasting error recovery as a dynamical process on a field generating cellular automaton. We envisage quantum systems controlled by a classical hardware composed of small local memories, communicating with neighbours, and repeatedly performing identical simple update rules. This approach does not require any global operations or complex decoding algorithms. Our cellular automata draw inspiration from classical field theories, with a Coulomb-like potential naturally emerging from the local dynamics. For a 3D automaton coupled to a 2D toric code, we present evidence of an error correction threshold above 6.1% for uncorrelated noise. A 2D automaton equipped with a more complex update rule yields a threshold above 8.2%. Our framework provides decisive new tools in the quest for realising a passive dissipative quantum memory.
description: 8+5 pages, 5 figures
Effectiveness of a Discharge Planning Program on Health Literacy and Prevention Behaviors of Coronavirus Disease 2019 Among Coronavirus Disease 2019 Patients in the Community Hospital, Bo Thong District, Chonburi Province
Creators: name: Kritsanaphong Laphphol
Publisher: name: DR.KEN Institute of Academic Development and Promotion.
Year: 2023
Subjects: Coronavirus Disease 2019
Discharge Planning Program
Health literacy
Prevention Behaviors

description: International Journal of Sociologies and Anthropologies Science Reviews, 3, 2, 41-46
Dynamics of Mobile Manipulators using Dual Quaternion Algebra
Creators: name: Silva, Frederico F. A.
name: Quiroz-Omaña, Juan J.
name: Adorno, Bruno V.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper presents two approaches to obtain the dynamical equations of mobile manipulators using dual quaternion algebra. The first one is based on a general recursive Newton-Euler formulation and uses twists and wrenches, which are propagated through high-level algebraic operations and works for any type of joints and arbitrary parameterizations. The second approach is based on Gauss's Principle of Least Constraint (GPLC) and includes arbitrary equality constraints. In addition to showing the connections of GPLC with Gibbs-Appell and Kane's equations, we use it to model a nonholonomic mobile manipulator. Our current formulations are more general than their counterparts in the state of the art, although GPLC is more computationally expensive, and simulation results show that they are as accurate as the classic recursive Newton-Euler algorithm.
description: 16 pages, 3 figures, 2 tables. Accepted on JMR 2022. This version corrects a few typos
Dynamical renormalization of electron-phonon coupling in conventional superconductors
Creators: name: Girotto, Nina
name: Novko, Dino
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The adiabatic Born-Oppenheimer approximation is considered to be a robust approach that very rarely breaks down. Consequently, it is predominantly utilized to address various electron-phonon properties in condensed matter physics. By combining many-body perturbation and density functional theories we demonstrate the importance of dynamical (nonadiabatic) effects in estimating superconducting properties in various bulk and two-dimensional materials. Apart from the expected long-wavelength nonadiabatic effects, we found sizable nonadiabatic Kohn anomalies away from the Brillouin zone center for materials with strong intervalley electron-phonon scatterings. Compared to the adiabatic result, these dynamical phonon anomalies can significantly modify electron-phonon coupling strength $λ$ and superconducting transition temperature $T_c$. Further, the dynamically-induced modifications of $λ$ have a strong impact on transport properties, where probably the most interesting is the rescaling of the low-temperature and low-frequency regime of the scattering time $1/τ$ from about $T^3$ to about $T^2$, resembling the Fermi liquid result for electron-electron scattering. Our goal is to point out the potential implications of these nonadiabatic effects and reestablish their pivotal role in computational estimations of electron-phonon properties.
description: 11 pages, 5 figures
Non-perturbative effects in corrections to quantum master equation arising in Bogolubov-van Hove limit
Creators: name: Teretenkov, A. E.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: 81S22, 81Q05, 81Q15

description: We study the perturbative corrections to the { Gorini-Kossakowski-Sudarshan-Lindblad equation which arises in the weak coupling limit}. The spin-boson model in the rotating wave approximation at zero temperature is considered. We show that the perturbative part of the density matrix satisfies the time-independent Gorini-Kossakowski-Sudarshan-Lindblad equation for arbitrary order of the perturbation theory (if all the moments of the reservoir correlation function are finite). But to reproduce the right asymptotic precision at long times, one should use { an initial condition different} from the one for exact dynamics. Moreover, we show that the initial condition for this master equation even fails to be a density matrix under certain resonance conditions.
A Set of Discrete Formulae for the Performance of a Tsetse Population During Aerial Spraying
Creators: name: Childs, S. J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Other Quantitative Biology (q-bio.OT)
subject: FOS: Biological sciences

description: A set of discrete formulae that calculates the hypothetical impact of aerial spraying on a tsetse population is derived and the work is thought to be novel. Both the original population and the subsequent generations which survive the aerial spraying, may ultimately be thought of as deriving from two, distinct sources. These origins are, however, neither distinct, nor relevant by the third generation. It is for this reason that the female population is considered to be composed of the following four categories for the purposes of derivation: Original flies which existed as such at the commencement of spraying; original pupae which existed as such at the commencement of spraying; the immediate descendants of both the aforementioned categories, during spraying; third and higher generation descendants. In theory, the latter category is a recurrence relation. In practice, the third generation's pupal stage has hardly come into existence, even by the end of a completed operation. Implicit in the formulae is the assumption of one, temperature-dependent mortality rate for the entire pupal stage, a second for the period between eclosion and ovulation and yet a third for the entire, adult life-span. Gravid female resistance to the insecticide is assumed to be inconsequential. A further assumption of the formulae is that at least one male is always available (degree of sterility variable).
description: 29 pages, 5 figures, 2 tables. arXiv admin note: text overlap with arXiv:0902.1616
ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ В АНАЛИТИЧЕСКОМ КОНТРОЛЕ КАЧЕСТВА АЛКОГОЛЬНОЙ ПРОДУКЦИИ
Creators: name: ШЕЛЕХОВА НАТАЛИЯ ВИКТОРОВНА
name: ПОЛЯКОВ ВИКТОР АНТОНОВИЧ
name: СЕРБА ЕЛЕНА МИХАЙЛОВНА
name: ШЕЛЕХОВА ТАМАРА МИХАЙЛОВНА
name: ВЕСЕЛОВСКАЯ ОЛЬГА ВЛАДИМИРОВНА
name: СКВОРЦОВА ЛЮБОВЬ ИВАНОВНА
Publisher: name: Пищевая промышленность
Year: 2018
Subjects: АЛКОГОЛЬНАЯ ПРОДУКЦИЯ
АНАЛИТИЧЕСКИЙ КОНТРОЛЬ
ГАЗОВАЯ ХРОМАТОГРАФИЯ
ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ
КОНТРОЛЬ КАЧЕСТВА

description: Проведенное исследование направлено на создание новых информационных технологий промышленного назначения, обеспечивающих повышение эффективности производства алкогольной продукции и решение проблемы импортозамещения в области программного обеспечения. Предложен новый подход к обработке результатов газохроматографических измерений показателей качества и безопасности алкогольной продукции, основанный на применении информационных технологий. Выполнен комплекс теоретических и экспериментальных исследований, ориентированных на получение исходных данных, выявление принципов и путей создания программного комплекса для автоматизации обработки данных аналитического контроля. Сформулированы основные требования и принципы автоматизации обработки результатов измерений показателей качества и безопасности алкогольной продукции, полученной при использовании метода газовой хроматографии. Составлена концептуальная модель программного комплекса ПК «С2Н5ОН-аналитик» и определена структура, состоящая из отдельных программных модулей. Показано, что предложенная модель позволяет расширять функциональность комплекса путем создания новых модулей. Разработаны унифицированные правила структурного построения функциональных программных модулей, внешнего интерфейса и взаимодействия компонентов, математическая модель задачи, определены входные и выходные данные, проведено кодирование алгоритмов и компиляция программного комплекса. Создан специализированный программный комплекс ПК «С2Н5ОН-аналитик», предназначенный для обработки результатов измерений показателей качества и безопасности алкогольной продукции, полученных при проведении испытаний методом газовой хроматографии. Практическая ценность проведенных исследований заключается в создании проблемно-ориентированного программного комплекса, обеспечивающего решение задач, связанных с контролем технологических процессов производства спирта и спиртных напитков для обеспечения выпуска алкогольной продукции с заданными качественными характеристиками. Несомненным преимуществом разработанного программного комплекса является его специализированная направленность. Применение разработанного комплекса позволит интенсифицировать процесс обработки аналитических данных, снизить затраты рабочего времени на проведение расчетов на 90 % и получать результаты с гарантированной точностью. Перспективой развития данной тематики является создание интеллектуальных систем поддержки принятия решений.