cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dynamic Manipulation of Flexible Objects with Torque Sequence Using a Deep Neural Network
Creators: name: Kawaharazuka, Kento
name: Ogawa, Toru
name: Tamura, Juntaro
name: Nabeshima, Cota
Publisher: name: arXiv
Year: 2019
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: For dynamic manipulation of flexible objects, we propose an acquisition method of a flexible object motion equation model using a deep neural network and a control method to realize a target state by calculating an optimized time-series joint torque command. By using the proposed method, any physics model of a target object is not needed, and the object can be controlled as intended. We applied this method to manipulations of a rigid object, a flexible object with and without environmental contact, and a cloth, and verified its effectiveness.
title: CFPR: interview avec FRA2019_0023
Creators: name: Delafontaine, François
name: Avanzi, Mathieu
Publisher: name: COCOON - https://cocoon.huma-num.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021
Subjects: subject: Français
subject: fra

description: Conforms to: doi:10.34847/cocoon.69c4fa74-f324-3ddb-9f1a-580867fd5826
description: Conforms to: Praat textgrid
description: Conforms to: doi:10.34847/cocoon.69c4fa74-f324-3ddb-9f1a-580867fd5826
description: Source: https://nakala.fr/10.34847/nkl.dfc4imt9.v4#a3b37787c5416030afa5b71752c1836a9b00fe3a
Mott insulating states of the anisotropic SU(4) Dirac fermions
Creators: name: Xu, Han
name: Wang, Yu
name: Zhou, Zhichao
name: Wu, Congjun
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We employ the large-scale quantum Monte-Carlo simulations to investigate the Mott-insulating states of the half-filled SU(4) Hubbard model on the square lattice with a staggered-flux pattern. The noninteracting band structure that evolves from a nested Fermi surface at zero flux to isotropic Dirac cones at $π$ flux, exhibits anisotropic Dirac cones as the flux varies in between. Our simulations show transitions between the three phases of Dirac semimetal, antiferromagnet and valence-bond solid. A direct continuous transition between the antiferromagnetic phase and the valence-bond-solid phase is realized via varying the flux in the Mott regime. The simulated critical exponents remarkably agree with those of SU(4) $J$-$Q$ model. Inside the valence-bond-solid phase induced by the flux, the plaquette valence-bond state with vanishing single-particle gap is identified. At strong coupling, the valence-bond-solid phase disappears and the Mott-insulating state is always accompanied by antiferromagnetic ordering, regardless of the magnitude of the flux.
description: 7 pages, 8 figures
Free vector lattices and free vector lattice algebras
Creators: name: de Jeu, Marcel
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: Primary 06F25, Secondary 46A40

description: We show how the existence of various free vector lattices and free vector lattice algebras can be derived from a theorem on equational classes in universal algebra. A discussion about free $f$-algebras over non-empty sets is given, where the main issues appear to be open. It is indicated how the existence results for free vector lattices and vector lattice algebras can be used for easy proofs of existence results for free Banach lattices and free Banach lattice algebras. A detailed exposition of the necessary material from universal algebra is included.
description: 37 pages. Some typos corrected. Final version, to be published in 2021 by Birkh\"auser in `Positivity and its Applications', Proceedings of the Positivity X conference from 8-12 July 2019 in Pretoria. The paper is dedicated to the memory of Coenraad Labuschagne
Probability of total domination for transient reflecting processes in a quadrant
Creators: name: Fomichov, Vladimir
name: Franceschi, Sandro
name: Ivanovs, Jevgenijs
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: Primary: 60G51, 60J65, Secondary: 60K25, 60K40

description: We consider two-dimensional Lévy processes reflected to stay in the positive quadrant. Our focus is on the non-standard regime when the mean of the free process is negative but the reflection vectors point away from the origin, so that the reflected process escapes to infinity along one of the axes. Under rather general conditions, it is shown that such behaviour is certain and each component can dominate the other with positive probability for any given starting position. Additionally, we establish the corresponding invariance principle providing justification for the use of the reflected Brownian motion as an approximate model. Focusing on the probability that the first component dominates, we derive a kernel equation for the respective Laplace transform in the starting position. This is done for the compound Poisson model with negative exponential jumps and, by means of approximation, for the Brownian model. Both equations are solved via boundary value problem analysis, which also yields the domination probability when starting at the origin. Finally, certain asymptotic analysis and numerical results are presented.
description: 36 pages, 13 figures
A multiplicative Tate spectral sequence for compact Lie group actions
Creators: name: Hedenlund, Alice
name: Rognes, John
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 55T25, 55P91, 16E30

description: Given a compact Lie group $G$ and a commutative orthogonal ring spectrum $R$ such that $R[G]_* = π_*(R \wedge G_+)$ is finitely generated and projective over $π_*(R)$, we construct a multiplicative $G$-Tate spectral sequence for each $R$-module $X$ in orthogonal $G$-spectra, with $E^2$-page given by the Hopf algebra Tate cohomology of $R[G]_*$ with coefficients in $π_*(X)$. Under mild hypotheses, such as $X$ being bounded below and the derived page $RE^\infty$ vanishing, this spectral sequence converges strongly to the homotopy $π_*(X^{tG})$ of the $G$-Tate construction $X^{tG} = [\widetilde{EG} \wedge F(EG_+, X)]^G$.
description: 134 pages
Reconstruction of Wigner function of electron beams based on coherence measurements
Creators: name: Hatanaka, Shuhei
name: Yamasaki, Jun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We developed a reconstruction method for the density matrix and Wigner function of electron beams through analysis of the Airy pattern intensity profile. The density matrix in a transmission electron microscope object plane was calculated using the coherence function and the electron wave amplitude and phase distributions. The Wigner function was then reconstructed using the matrix elements. Based on the Wigner function at the origin of the phase space, we derived a formula to calculate the axial brightness, and then determined the axial brightness of a Schottky field emission gun, which reflects the emitter performance more accurately and precisely than the conventional mean brightness measurements.
Still learning about space dimensionality: from the description of hydrogen atom by a generalized wave equation for dimensions D$\geq$3
Creators: name: Caruso, Francisco
name: Oguri, Vitor
name: Silveira, Felipe
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Physics Education (physics.ed-ph)
subject: History and Philosophy of Physics (physics.hist-ph)
subject: FOS: Physical sciences

description: The hydrogen atom is supposed to be described by a generalization of Schrödinger equation, in which the Hamiltonian depends on an iterated Laplacian and a Coulomb-like potential $r^{-β}$. Starting from previously obtained solutions for this equation using the $1/N$ expansion method, it is shown that new light can be shed on the problem of understanding the dimensionality of the world as proposed by Paul Ehrenfest. A surprisingly new result is obtained. Indeed, for the first time, we can understand that not only the sign of energy but also the value of the ground state energy of hydrogen atom is related to the threefold nature of space.
description: 17 pages, 1 table
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
Creators: name: Marge, Matthew
name: Espy-Wilson, Carol
name: Ward, Nigel
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Computation and Language (cs.CL)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: With robotics rapidly advancing, more effective human-robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. The National Science Foundation accordingly convened a workshop, bringing together speech, language, and robotics researchers to discuss what needs to be done. The result is this report, in which we identify key scientific and engineering advances needed.
 Our recommendations broadly relate to eight general themes. First, meeting human needs requires addressing new challenges in speech technology and user experience design. Second, this requires better models of the social and interactive aspects of language use. Third, for robustness, robots need higher-bandwidth communication with users and better handling of uncertainty, including simultaneous consideration of multiple hypotheses and goals. Fourth, more powerful adaptation methods are needed, to enable robots to communicate in new environments, for new tasks, and with diverse user populations, without extensive re-engineering or the collection of massive training data. Fifth, since robots are embodied, speech should function together with other communication modalities, such as gaze, gesture, posture, and motion. Sixth, since robots operate in complex environments, speech components need access to rich yet efficient representations of what the robot knows about objects, locations, noise sources, the user, and other humans. Seventh, since robots operate in real time, their speech and language processing components must also. Eighth, in addition to more research, we need more work on infrastructure and resources, including shareable software modules and internal interfaces, inexpensive hardware, baseline systems, and diverse corpora.
description: 35 pages, 6 figures, Final report from the NSF Future Directions Workshop on Speech for Robotics, held in October 2019, College Park, MD. Workshop website: https://isr.umd.edu/2019-SFRW
Effects of a thermal inversion experiment on STEM students learning and application of damped harmonic motion
Creators: name: González-Peña, O. I.
name: Morán-Soto, G.
name: Rodríguez-Masegosa, R.
name: Rodríguez-Lara, B. M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Physics Education (physics.ed-ph)
subject: FOS: Physical sciences

description: There are diverse teaching methodologies to promote both collaborative and individual work in undergraduate physics courses. However, few educational studies seek to understand how students learn and apply new knowledge through open-ended activities that require mathematical modeling and experimentation focused on environmental problems. In this work, we propose a novel home experiment to simulate the dynamics of a particulate under temperature inversion and model it as damped harmonic motion. Twenty six first year students enrolled in STEM majors answered six qualitative questions after designing and developing the experiment. These questions helped analyze the students epistemological beliefs about their learning process of physics topics and its applications. Results showed that this type of open-ended experiments could facilitate the students understanding of physics phenomena. In addition, this experiment showed that it could help physics professors to promote students epistemological development by giving their students the opportunity to search for different sources of knowledge and becoming self-learners instead of looking at the professor as the epistemological authority. At the end, students described this activity as a positive experience that helped them realize alternative ways to apply physics topics in different contexts of their environment.
description: 23 pages, 5 figures
Pre-print: Sleep fragmentation hypersensitizes healthy young women to deep and superficial experimental pain. DOI: 10.1016/j.jpain.2017.02.436
Creators: name: Iacovides, Stella
name: Kezia George
name: Kamerman, Peter
name: Baker, Fiona
Publisher: name: figshare
Year: 2017
Subjects: Behavioral Neuroscience

description: Pre-print copy of: Iacovides S, George K, Kamerman P, Baker FC. Sleep fragmentation hypersensitizes healthy young women to deep and superficial experimental pain. Journal of Pain (IN PRESS) DOI: 10.1016/j.jpain.2017.02.436
Post-print (accepted manuscript copy) available at: https://drive.google.com/file/d/0B7D82sJChDKlMHlLZ3NJX3lBbUk/view
Dataset and analysis scripts: 10.6084/m9.figshare.4539880
Abstract: The effect of sleep deprivation on pain sensitivity has typically been studied using total and partial sleep deprivation protocols. These protocols do not mimic the fragmented pattern of sleep disruption usually observed in individuals with clinical pain conditions. Therefore, we investigated the effect of sleep fragmentation on pain perception (deep pain: forearm muscle ischaemia, and superficial pain: graded pin-pricks applied to the skin) in 11 healthy young women following two consecutive nights of sleep fragmentation, compared with a normal night of sleep. Compared to normal sleep, sleep fragmentation resulted in significantly poorer sleep quality, morning vigilance, and global mood. Pin-prick threshold decreased significantly (increased sensitivity), as did habituation to ischaemic muscle pain (increased sensitivity), over the course of the two nights of sleep fragmentation compared to the night of normal sleep. Sleep fragmentation did not increase the maximum pain intensity reported during muscle ischaemia (no increase in gain), and nor did it increase the number of spontaneous pains reported by participants. Our data show that sleep fragmentation in healthy, young, pain-free women increases pain sensitivity in superficial and deep tissues, indicating a role for sleep disruption, through sleep fragmentation, in modulating pain perception.
PerspectivesOur findings that pain-free, young women develop hyperalgesia to superficial and deep-muscle pain after short-term sleep disruption highlight the need for effective sleep management strategies in patients with pain. Findings also suggest the possibility that short-term sleep disruption associated with recurrent acute pain could contribute to increased risk for future chronic pain condition.
Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation
Creators: name: He, Zhiyu
name: He, Jianping
name: Chen, Cailian
name: Guan, Xinping
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: There has been work that exploits polynomial approximation to solve distributed nonconvex optimization problems involving univariate objectives. This idea facilitates arbitrarily precise global optimization without requiring local evaluations of gradients at every iteration. Nonetheless, there remains a gap between existing guarantees and practical requirements, e.g., privacy preservation and robustness to network imperfections. To fill this gap and keep the above strengths, we propose a Private and Robust Chebyshev-Proxy-based distributed Optimization Algorithm (PR-CPOA). Specifically, to ensure both the accuracy of solutions and the privacy of local objectives, we design a new privacy-preserving mechanism. This mechanism leverages the randomness in blockwise insertions of perturbed vector states and hence provides a stronger privacy guarantee in the scope of ($α,β$)-data-privacy. Furthermore, to gain robustness against network imperfections, we use the push-sum consensus protocol as a backbone and discuss its specific enhancements. Thanks to the purely consensus-type iterations, we avoid the privacy-accuracy trade-off and the bother of selecting proper step sizes in different settings. We rigorously analyze the accuracy, privacy, and complexity of the proposed algorithm. We show that the advantages brought by introducing polynomial approximation are maintained when all the above requirements exist.
description: Published on IEEE Transactions on Control of Network Systems
Fourier Series-Based Approximation of Time-Varying Parameters in Ordinary Differential Equations
Creators: name: Fitzpatrick, Anna
name: Folino, Molly
name: Arnold, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Dynamical Systems (math.DS)
subject: Applications (stat.AP)
subject: Computation (stat.CO)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Many real-world systems modeled using differential equations involve unknown or uncertain parameters. Standard approaches to address parameter estimation inverse problems in this setting typically focus on estimating constants; yet some unobservable system parameters may vary with time without known evolution models. In this work, we propose a novel approximation method inspired by the Fourier series to estimate time-varying parameters in deterministic dynamical systems modeled with ordinary differential equations. Using ensemble Kalman filtering in conjunction with Fourier series-based approximation models, we detail two possible implementation schemes for sequentially updating the time-varying parameter estimates given noisy observations of the system states. We demonstrate the capabilities of the proposed approach in estimating periodic parameters, both when the period is known and unknown, as well as non-periodic time-varying parameters of different forms with several computed examples using a forced harmonic oscillator. Results emphasize the importance of the frequencies and number of approximation model terms on the time-varying parameter estimates and corresponding dynamical system predictions.
description: 24 pages, 12 figures, 3 tables
Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks
Creators: name: Matsuo, Mitsuaki
name: Fukami, Kai
name: Nakamura, Taichi
name: Morimoto, Masaki
name: Fukagata, Koji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: The recent development of high-performance computing enables us to generate spatio-temporal high-resolution data of nonlinear dynamical systems and to analyze them for a deeper understanding of their complex nature. This trend can be found in a wide range of science and engineering, which suggests that detailed investigations on efficient data handling in physical science must be required in the future. This study considers the use of convolutional neural networks (CNNs) to achieve efficient data storage and estimation of scientific big data derived from nonlinear dynamical systems. The CNN is used to reconstruct three-dimensional data from a few numbers of two-dimensional sections in a computationally friendly manner. The present model is a combination of two- and three-dimensional CNNs, which allows users to save only some of the two-dimensional sections to reconstruct the volumetric data. As examples, we consider a flow around a square cylinder at the diameter-based Reynolds number $Re_D = 300$. We demonstrate that volumetric fluid flow data can be reconstructed with the present method from as few as five sections. Furthermore, we propose a combination of the present CNN-based reconstruction with an adaptive sampling-based super-resolution analysis to augment the data compressibility. Our report can serve as a bridge toward practical data handling for not only fluid mechanics but also a broad range of physical sciences.
description: To appear in SN Computer Science
Unfolding system-environment correlation in open quantum systems: Revisiting master equations and the Born approximation
Creators: name: Babu, A. P.
name: Alipour, S.
name: Rezakhani, A. T.
name: Ala-Nissila, T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Understanding system-bath correlations in open quantum systems is essential for various quantum information and technology applications. Derivations of most master equations (MEs) for the dynamics of open systems require approximations that mask dependence of the system dynamics on correlations, since the MEs focus on reduced system dynamics. Here we demonstrate that the most common MEs indeed contain hidden information about explicit system-environment correlation. We unfold these correlations by recasting the MEs into a universal form in which the system-bath correlation operator appears. The equations include the Lindblad, Redfield, second-order time-convolutionless, second-order Nakajima-Zwanzig, and second-order universal Lindblad-like cases. We further illustrate our results in an example, which implies that the second-order universal Lindblad-like equation captures correlation more accurately than other standard techniques.
Thom condition and Monodromy
Creators: name: Conejero, R. Giménez
name: Tráng, Lê Dũng
name: Nuño-Ballesteros, J. J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 32S40 (Primary) 32S50, 32S55 (Secondary)

description: We give the definition of the Thom condition and we show that given any germ of complex analytic function $f:(X,x)\to(\mathbb{C},0)$ on a complex analytic space $X$, there exists a geometric local monodromy without fixed points, provided that $f\in\mathfrak m_{X,x}^2$, where $\mathfrak m_{X,x}$ is the maximal ideal of $\mathcal O_{X,x}$. This result generalizes a well-known theorem of the second named author when $X$ is smooth and proves a statement by Tibar in his PhD thesis. It also implies the A'Campo theorem that the Lefschetz number of the monodromy is equal to zero. Moreover, we give an application to the case that $X$ has maximal rectified homotopical depth at $x$ and show that a family of such functions with isolated critical points and constant total Milnor number has no coalescing of singularities.
description: 25 pages, 6 figures
A C++17 Thread Pool for High-Performance Scientific Computing
Creators: name: Shoshany, Barak
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences
subject: D.1.3; D.1.5

description: We present a modern C++17-compatible thread pool implementation, built from scratch with high-performance scientific computing in mind. The thread pool is implemented as a single lightweight and self-contained class, and does not have any dependencies other than the C++17 standard library, thus allowing a great degree of portability. In particular, our implementation does not utilize OpenMP or any other high-level multithreading APIs, and thus gives the programmer precise low-level control over the details of the parallelization, which permits more robust optimizations. The thread pool was extensively tested on both AMD and Intel CPUs with up to 40 cores and 80 threads. This paper provides motivation, detailed usage instructions, and performance tests.
description: 45 pages, source code available at https://github.com/bshoshany/thread-pool
Wo, wie und mit wem will ich wohnen? Eine Arbeit über dezentrale Wohnangebote für Menschen mit einer geistigen Behinderung
Creators: name: Hodel, Simona
Publisher: name: Zenodo
Year: 2020

description: Die Autorin geht der Frage nach, wie dezentrale Wohnformen für Menschen mit geistiger Be-hinderung in der Schweiz aussehen könnten. Das Bild über Menschen mit geistiger Behinde-rung hat sich im Verlaufe der Zeit verändert. Dadurch veränderte sich auch die Praxis. Früher wurde von einer defizitorientierten Sichtweise aus gearbeitet. Heute stehen die Bedürfnisse der Menschen mit Behinderungen immer mehr im Mittelpunkt und aus dieser Entwicklung her-aus veränderten sich die Schwerpunkte in der Arbeit mit Menschen mit geistiger Behinderung. Zurzeit haben Menschen mit geistiger Behinderung nicht die Möglichkeit frei zu entscheiden wo, mit wem und in welcher Wohnform sie leben möchten. Die Behindertenrechtskonvention der Vereinten Nationen fordert dies jedoch. Dadurch sollten in den nächsten Jahren in der Schweiz neue Wohnformen entstehen. Durch die Auseinandersetzung mit Leitprinzipien der Behindertenhilfe stellte sich heraus, dass folgende Leitprinzipien bei dezentralen Wohnange-boten für Menschen mit geistiger Behinderung von Bedeutung sind: Normalisierung, Integration und Inklusion, Teilhabe, Lebensqualität, Selbstbestimmung und Empowerment. Diese Leitprin-zipien werden von der Behindertenrechtskonvention gefordert. Durch die Recherchen wurde klar, dass andere europäische Länder bereits innovative Wohnformen für Menschen mit geis-tiger Behinderung in die Praxis umgesetzt haben. Aus diesem Grund wurde das Wohnpangebot Pameijer aus den Niederlanden und die inklusive Wohngemeinschaft Lebe Bunt aus Wien un-tersucht. Diese zwei Wohnangebote sind vorbildlich dafür, wie Menschen mit geistiger Behin-derung dezentral wohnen können. Sie erfüllen alle Leitprinzipien.
description: + Code Diss LU: hslusa basp 2020 + Fussnote: Bachelorarbeit, Hochschule Luzern - Soziale Arbeit, Ausbildungsgang Sozialpädagogik 2020+ NL-Code: NLLUHSA202002
Spectral Pruning for Recurrent Neural Networks
Creators: name: Furuya, Takashi
name: Suetake, Kazuma
name: Taniguchi, Koichi
name: Kusumoto, Hiroyuki
name: Saiin, Ryuji
name: Daimon, Tomohiro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Recurrent neural networks (RNNs) are a class of neural networks used in sequential tasks. However, in general, RNNs have a large number of parameters and involve enormous computational costs by repeating the recurrent structures in many time steps. As a method to overcome this difficulty, RNN pruning has attracted increasing attention in recent years, and it brings us benefits in terms of the reduction of computational cost as the time step progresses. However, most existing methods of RNN pruning are heuristic. The purpose of this paper is to study the theoretical scheme for RNN pruning method. We propose an appropriate pruning algorithm for RNNs inspired by "spectral pruning", and provide the generalization error bounds for compressed RNNs. We also provide numerical experiments to demonstrate our theoretical results and show the effectiveness of our pruning method compared with existing methods.
description: 26 pages, 2 figures
title: ‘Cultural Turn’ in Old Delhi – post Metro
Creators: name: Mahajan, Manu
Publisher: name: Conference Proceedings XXIX International Seminar on Urban Form ISUF 2022 Urban Redevelopment and Revitalisation A Multidisciplinary Perspective/Lodz University of Technology Press
Year: 2023
Subjects: Old Delhi, Delhi Metro, MRTS, Cultural Economy.

description: Post-liberalization, India has invested heavily in urban mass rapid transportation systems (MRTS aka Metro). Currently, metro systems are operational in 10 cities and under construction or planning in another 22. The impact of mass transportation infrastructure on the local economy is well-researched in the context of North American and European cities. Literature categorizes these impacts as micro (related to land/property values), meso (related to agglomeration of economic activities), and macro (related to overall economic growth). This paper examines the impact of the metro on Old Delhi (the historic walled city of Delhi) from a cultural economy perspective. Delhi Metro has one of the most extensive networks in the world spread across Delhi as well as neighbouring cities. Seven metro stations are located within the old city or in close vicinity. The impact of the metro on Old Delhi is unique as it is a living settlement with repositories of cultural products/spaces and work/production-based communities that have evolved and assimilated several layers of history. Analysis of responses received from traders and residents during field research, interviews, commuter surveys and spatial documentation conducted for this study point to a turn in the economy of Old Delhi, similar to many post-industrial cities. The paper argues that with improved intra-urban accessibility economic activity is undergoing a transformation from wholesale to retail and that cultural products and ‘experiences’ are getting re-invented and diversified to serve the increased volume and variety of consumers. However, fuelled by this thrust on commerce, residential properties are becoming commercial, built heritage is being lost and at places, structural changes are taking place in the morphology of the historical fabric. In conclusion, the paper discusses the milieu of contextual conditions (social, economic, and policy) that are working in conjunction with improved accessibility induced by the metro to usher in the ‘Cultural Turn’ in Old Delhi.
Lie theory and cohomology of relative Rota-Baxter operators
Creators: name: Jiang, Jun
name: Sheng, Yunhe
name: Zhu, Chenchang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Rings and Algebras (math.RA)
subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: In this paper, we establish a local Lie theory for relative Rota-Baxter operators of weight $1$. First we recall the category of relative Rota-Baxter operators of weight $1$ on Lie algebras and construct a cohomology theory for them. We use the second cohomology group to study infinitesimal deformations of relative Rota-Baxter operators and modified $r$-matrices. Then we introduce a cohomology theory of relative Rota-Baxter operators on a Lie group. We construct the differentiation functor from the category of relative Rota-Baxter operators on Lie groups to that on Lie algebras, and extend it to the cohomology level by proving the Van Est theorem between the two cohomology theories. We integrate a relative Rota-Baxter operator of weight 1 on a Lie algebra to a local relative Rota-Baxter operator on the corresponding Lie group, and show that the local integration and differentiation are adjoint to each other. Finally, we give two applications of our integration of Rota-Baxter operators: one is to give an explicit formula for the factorization problem, and the other is to provide an integration for matched pairs.
description: 29 pages, the local integration is enhanced to be a functor, which is left adjoint to the differentiation functor. Section 6 are added, in which we give two more applications including an explicit formula for the factorization problem and integration for matched pairs. Comments are welcome!
Nonemptiness of Severi varieties on Enriques surfaces
Creators: name: Ciliberto, Ciro
name: Dedieu, Thomas
name: Galati, Concettina
name: Knutsen, Andreas Leopold
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: Let $(S,L)$ be a general polarized Enriques surface, with $L$ not numerically 2-divisible. We prove the existence of regular components of all Severi varieties of irreducible $δ$-nodal curves in the linear system $|L|$, with $0\leq δ\leq p_a(L)-1$. This solves a classical open problem and gives a positive answer to a recent conjecture of Pandharipande--Schmitt, under the additional condition of non-2-divisibility.
description: 34 pages. Minor changes, incorporating referee's corrections; final version appeared in Forum of Math
Production of Chern-Simons bosons in decays of mesons
Creators: name: Borysenkova, Yuliia
name: Kashko, Pavlo
name: Tsarenkova, Mariia
name: Bondarenko, Kyrylo
name: Gorkavenko, Volodymyr
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We consider the effective interaction of quarks with a new GeV-scale vector particle that couples to electroweak gauge bosons by the so-called effective Chern-Simons interaction. We call this particle the Chern-Simons (CS) boson. We construct an effective Lagrangian of the CS boson interaction with quarks of two different flavors. This interaction is given by a divergent loop diagram, however, it turns out that the divergent part is equal to zero as a consequence of the CKM matrix unitarity in the SM. Therefore, we are able to predict the effective interaction of the CS boson with quarks of different flavors without introducing new unknown parameters to the model, using only parameters of the initial effective Lagrangian. Our result shows that the effective interaction of the CS boson with down-type quarks is sufficiently stronger compared with up-type quarks. Based on our results, we give a prediction for the production of CS bosons in mesons decays. Branching fractions were obtained for the main reactions of the CS production in meson decays. The results obtained will be useful for searching for the long-lived GeV-scale CS boson in intensity frontier experiments.
description: 35 pages, 4 figures. The formulas for the non-leading terms of Lagrangian of the effective interaction have been refined. The main results of the paper are unchanged
A convergent inflation hierarchy for quantum causal structures
Creators: name: Ligthart, Laurens T.
name: Gachechiladze, Mariami
name: Gross, David
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: Optimization and Control (math.OC)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A causal structure is a description of the functional dependencies between random variables. A distribution is compatible with a given causal structure if it can be realized by a process respecting these dependencies. Deciding whether a distribution is compatible with a structure is a practically and fundamentally relevant, yet very difficult problem. Only recently has a general class of algorithms been proposed: These so-called inflation techniques associate to any causal structure a hierarchy of increasingly strict compatibility tests, where each test can be formulated as a computationally efficient convex optimization problem. Remarkably, it has been shown that in the classical case, this hierarchy is complete in the sense that each non-compatible distribution will be detected at some level of the hierarchy. An inflation hierarchy has also been formulated for causal structures that allow for the observed classical random variables to arise from measurements on quantum states - however, no proof of completeness of this quantum inflation hierarchy has been supplied. In this paper, we construct a first version of the quantum inflation hierarchy that is provably convergent. From a technical point of view, convergence proofs are built on de Finetti Theorems, which show that certain symmetries (which can be imposed in convex optimization problems) imply independence of random variables (which is not directly a convex constraint). A main technical ingredient to our proof is a Quantum de Finetti Theorem that holds for general tensor products of $C^*$-algebras, generalizing previous work that was restricted to minimal tensor products.
description: version 3; presentation improved
High throughput inverse design and Bayesian optimization of functionalities: spin splitting in two-dimensional compounds
Creators: name: Nascimento, Gabriel M.
name: Ogoshi, Elton
name: Fazzio, Adalberto
name: Acosta, Carlos Mera
name: Dalpian, Gustavo M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The development of spintronic devices demands the existence of materials with some kind of spin splitting (SS). In this Data Descriptor, we build a database of ab initio calculated SS in 2D materials. More than that, we propose a workflow for materials design integrating an inverse design approach and a Bayesian inference optimization. We use the prediction of SS prototypes for spintronic applications as an illustrative example of the proposed workflow. The prediction process starts with the establishment of the design principles (the physical mechanism behind the target properties), that are used as filters for materials screening, and followed by density functional theory (DFT) calculations. Applying this process to the C2DB database, we identify and classify 358 2D materials according to SS type at the valence and/or conduction bands. The Bayesian optimization captures trends that are used for the rationalized design of 2D materials with the ideal conditions of band gap and SS for potential spintronics applications. Our workflow can be applied to any other material property.
description: Manuscript: 506 pages
On the Hofer-Zehnder conjecture on weighted projective spaces
Creators: name: Allais, Simon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Symplectic Geometry (math.SG)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 70H12, 37J10, 58E05, 53D20

description: We prove an extension of the homology version of the Hofer-Zehnder conjecture proved by Shelukhin to the weighted projective spaces which are symplectic orbifolds. In particular, we prove that if the number of fixed points counted with their isotropy order as multiplicity of a non-degenerate Hamiltonian diffeomorphism of such a space is larger than the minimum number possible, then there are infinitely many periodic points.
description: 22 pages. arXiv admin note: text overlap with arXiv:2010.14172
Optomechanical simulation of a parametric oscillator
Creators: name: Onah, F. E.
name: Ventura-Velázquez, C.
name: Maldonado-Villamizar, F. H.
name: Jaramillo-Ávila, B. R.
name: Rodríguez-Lara, B. M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study an optomechhanical device supporting at least three optical modes in the infrared telecommunication band and three mechanical vibration modes. We model the coherent driving of each optical mode, independently of each other, to obtain an effective Hamiltonian showing the different types of parametric processes allowed in the device. We propose a bichromatic driving scheme, in the lossy optical cavity regime, under a mean field approximation, that provides the quantum simulation of a parametric oscillator with optical control of its parameters.
description: 12 pages, 2 figures, Quantum Fest 2021
title: 01_2082
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Post-Hopf algebras, relative Rota-Baxter operators and solutions of the Yang-Baxter equation
Creators: name: Li, Yunnan
name: Sheng, Yunhe
name: Tang, Rong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this paper, first we introduce the notion of a post-Hopf algebra, which gives rise to a post-Lie algebra on the space of primitive elements and there is naturally a post-Hopf algebra structure on the universal enveloping algebra of a post-Lie algebra. A novel property is that a cocommutative post-Hopf algebra gives rise to a generalized Grossman-Larsson product, which leads to a subadjacent Hopf algebra and can be used to construct solutions of the Yang-Baxter equation. Then we introduce the notion of relative Rota-Baxter operators on Hopf algebras. A cocommutative post-Hopf algebra gives rise to a relative Rota-Baxter operator on its subadjacent Hopf algebra. Conversely, a relative Rota-Baxter operator also induces a post-Hopf algebra. Then we show that relative Rota-Baxter operators give rise to matched pairs of Hopf algebras. Consequently, post-Hopf algebras and relative Rota-Baxter operators give solutions of the Yang-Baxter equation in certain cocommutative Hopf algebras. Finally we characterize relative Rota-Baxter operators on Hopf algebras using relative Rota-Baxter operators on the Lie algebra of primitive elements, graphs and module bialgebra structures.
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Creators: name: Liu, Junlin
name: Lyu, Xinchen
name: Cui, Qimei
name: Tao, Xiaofeng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Split learning is a promising paradigm for privacy-preserving distributed learning. The learning model can be cut into multiple portions to be collaboratively trained at the participants by exchanging only the intermediate results at the cut layer. Understanding the security performance of split learning is critical for many privacy-sensitive applications. This paper shows that the exchanged intermediate results, including the smashed data (i.e., extracted features from the raw data) and gradients during training and inference of split learning, can already reveal the private labels. We mathematically analyze the potential label leakages and propose the cosine and Euclidean similarity measurements for gradients and smashed data, respectively. Then, the two similarity measurements are shown to be unified in Euclidean space. Based on the similarity metric, we design three label inference attacks to efficiently recover the private labels during both the training and inference phases. Experimental results validate that the proposed approaches can achieve close to 100% accuracy of label attacks. The proposed attack can still achieve accurate predictions against various state-of-the-art defense mechanisms, including DP-SGD, label differential privacy, gradient compression, and Marvell.
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models
Creators: name: Chakraborty, Arnab
name: Raturi, Vikas
name: Harsola, Shrutendra
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We consider the problem of developing a clickstream modeling framework for real-time customer event prediction problems in SaaS products like QBO. We develop a low-latency, cost-effective, and robust ensemble architecture (BBE-LSWCM), which combines both aggregated user behavior data from a longer historical window (e.g., over the last few weeks) as well as user activities over a short window in recent-past (e.g., in the current session). As compared to other baseline approaches, we demonstrate the superior performance of the proposed method for two important real-time event prediction problems: subscription cancellation and intended task detection for QBO subscribers. Finally, we present details of the live deployment and results from online experiments in QBO.
description: 9 pages
ANALISIS PERUBAHAN SIFAT MEKANIK DAN STRUKTUR MIKRO BESI COR NODULAR 700 SETELAH MENGALAMI PROSES PERLAKUAN PANAS
Creators: name: Bandanadjaja, Beny
name: Rochim Suratman
Publisher: name: figshare
Year: 2017
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering
subject: 91207 Metals and Alloy Materials

description: pengaruh proses perlakuan panas pada material besi cor nodular 700