pinecone/core-2020-05-10-deduplication huggingface dataset:
Symmetry-protected topological order and negative-sign problem for SO(N)
  bilinear-biquadratic chains

Using a generalized Jordan-Wigner transformation combined with the defining
representation of the SO(N) spin, we map the SO(N) bilinear-biquadratic(BLBQ)
spin chain into the N-color bosonic particle model. We find that, when the
Jordan-Wigner transformation disentangles the symmetry-protected topological
entanglement, this bosonic model becomes negative-sign free in the context of
quantum Monte-Carlo simulation. For the SO(3) case, moreover, the
Kennedy-Tasaki transformation for the S=1 BLBQ chain, which is also a
topological disentangler, derives the same bosonic model through the dimer-R
bases. We present the temperature dependence of the energy, entropy and string
order parameter for the SO(N=3, 4, 5) BLBQ chains by a world-line Monte-Carlo
simulation for the N-color bosonic particle model.Comment: published in PR
Development of Morphogen Gradient: The Role of Dimension and
  Discreteness

The fundamental processes of biological development are governed by multiple
signaling molecules that create non-uniform concentration profiles known as
morphogen gradients. It is widely believed that the establishment of morphogen
gradients is a result of complex processes that involve diffusion and
degradation of locally produced signaling molecules. We developed a
multi-dimensional discrete-state stochastic approach for investigating the
corresponding reaction-diffusion models. It provided a full analytical
description for stationary profiles and for important dynamic properties such
as local accumulation times, variances and mean first-passage times. The role
of discreteness in developing of morphogen gradients is analyzed by comparing
with available continuum descriptions. It is found that the continuum models
prediction about multiple time scales near the source region in two-dimensional
and three-dimensional systems is not supported in our analysis. Using ideas
that view the degradation process as an effective potential, the effect of
dimensionality on establishment of morphogen gradients is also discussed. In
addition, we investigated how these reaction-diffusion processes are modified
with changing the size of the source region
Bidimensional nano-optomechanics and topological backaction in a
  non-conservative radiation force field

Optomechanics, which explores the fundamental coupling between light and
mechanical motion, has made important advances in both exploring and
manipulating macroscopic mechanical oscillators down to the quantum level.
However, dynamical effects related to the vectorial nature of the
optomechanical interaction remain to be investigated. Here we study a nanowire
with sub-wavelength dimensions strongly coupled to a tightly focused beam of
light, enabling ultrasensitive readout of the nanoresonators dynamics. We
experimentally determine the vectorial structure of the optomechanical
interaction and demonstrate that bidimensional dynamical backaction governs the
nanowire dynamics. Moreover, the non-conservative topology of the
optomechanical interaction is responsible for a novel canonical signature of
strong coupling between the nanoresonator mechanical modes, leading to a
topological instability. These results have a universal character and
illustrate the increased sensitivity of nanomechanical devices towards
topologically varying interactions, opening fundamental perspectives in
nanomechanics, optomechanics, ultrasensitive scanning probe force microscopy
and nano-optics
The Spin of the M2-Brane and Spin-Spin Interactions via Probe Techniques

The 256 dimensional M2-brane multiplet contains solitons of many different intrinsic spins. Using the broken supersymmetry transformations of the M2-brane, we find supergravity solutions which explicitly display these spins. This amounts to quantizing the fermionic zero modes and computing the back reaction on the metric and gauge potential. These spacetime fields are therefore operator valued and acquire a conventional classical meaning only after taking expectations in given BPS states. Our spinning spacetimes are not of the standard Kerr form -- there is a non-vanishing gravitino. Nevertheless, the solutions have angular momentum and magnetic dipole moments with a g-factor of 2. We use probe techniques to study scattering of spinning BPS M2-branes. The static interactions cancel between like-sign branes at leading order, but there are static spin-spin forces between branes and anti-branes. The general probe-background Lagrangian contains gravitational spin-spin and magnetic dipole-dipole forces, as well as gravitino exchanges which allow branes to change fermion number
Hydrogen-induced reversible spin-reorientation transition and magnetic stripe domain phase in bilayer Co on Ru(0001)

Imaging the change in the magnetization vector in real time by spin-polarized low-energy electron microscopy, we observed a hydrogen-induced, reversible spin-reorientation transition in a cobalt bilayer on Ru(0001). Initially, hydrogen sorption reduces the size of out-of-plane magnetic domains and leads to the formation of a magnetic stripe domain pattern, which can be understood as a consequence of reducing the out-of-plane magnetic anisotropy. Further hydrogen sorption induces a transition to an in-plane easy axis. Desorbing the hydrogen by heating the film to 400 K recovers the original out-of-plane magnetization. By means of ab initio calculations we determine that the origin of the transition is the local effect of the hybridization of the hydrogen orbital and the orbitals of the Co atoms bonded to the absorbed hydrogen
Physical states in the canonical tensor model from the perspective of random tensor networks

Tensor models, generalization of matrix models, are studied aiming for quantum gravity in dimensions larger than two. Among them, the canonical tensor model is formulated as a totally constrained system with first-class constraints, the algebra of which resembles the Dirac algebra of general relativity. When quantized, the physical states are defined to be vanished by the quantized constraints. In explicit representations, the constraint equations are a set of partial differential equations for the physical wave-functions, which do not seem straightforward to be solved due to their non-linear character. In this paper, after providing some explicit solutions for N = 2 , 3, we show that certain scale-free integration of partition functions of statistical systems on random networks (or random tensor networks more generally) provides a series of solutions for general N . Then, by generalizing this form, we also obtain various solutions for general N . Moreover, we show that the solutions for the cases with a cosmological constant can be obtained from those with no cosmological constant for increased N . This would imply the interesting possibility that a cosmological constant can always be absorbed into the dynamics and is not an input parameter in the canonical tensor model. We also observe the possibility of symmetry enhancement in N = 3, and comment on an extension of Airy function related to the solutions
The kaon semileptonic form factor in N f = 2 + 1 domain wall lattice QCD with physical light quark masses

We present the first calculation of the kaon semileptonic form factor with sea and valence quark masses tuned to their physical values in the continuum limit of 2+1 flavour domain wall lattice QCD. We analyse a comprehensive set of simulations at the phenomenologically convenient point of zero momentum transfer in large physical volumes and for two different values of the lattice spacing. Our prediction for the form factor is f + K π (0) = 0.9685(34)(14) where the first error is statistical and the second error systematic. This result can be combined with experimental measurements of K → π decays for a determination of the CKM-matrix element for which we predict | V us | = 0 . 2233(5)(9) where the first error is from experiment and the second error from the lattice computation
Hadron structure functions at small x from string theory

Deep inelastic scattering of leptons from hadrons at small values of the Bjorken parameter x is studied from superstring theory. In particular, we focus on single-flavored scalar and vector mesons in the large N limit. This is studied in terms of different holographic dual models with flavor Dp-branes in type IIA and type IIB superstring theories, in the strong coupling limit of the corresponding dual gauge theories. We derive the hadronic tensor and the structure functions for scalar and polarized vector mesons. In particular, for polarized vector mesons we obtain the eight structure functions at small values of the Bjorken parameter. The main result is that we obtain new relations of the Callan-Gross type for several structure functions. These relations have similarities for all different Dp-brane models that we consider. This would suggest their universal character, and therefore, it is possible that they hold for strongly coupled QCD in the large N limit
Lifting 4d dualities to 5d

In this paper we set out to further explore the connection between isolated N = 2 $$ \mathcal{N}=2 $$ SCFT’s in four dimensions and N = 1 $$ \mathcal{N}=1 $$ SCFT’s in five dimensions. Using 5-brane webs we are able to provide IR Lagrangian descriptions in terms of 5d gauge theories for several classes of theories including the so-called T N theories. In many of these we find multiple dual gauge theory descriptions. The connection to 4d theories is then used to lift 4d N = 2 $$ \mathcal{N}=2 $$ S-dualities that involve weakly-gauging isolated theories to 5d gauge theory dualities. The 5d description allows one to study the spectrum of BPS operators directly, using for example the superconformal index. This provides additional non-trivial checks of enhanced global symmetries and 4d dualities
Scattering equations and matrices: from Einstein to Yang-Mills, DBI and NLSM

The tree-level S-matrix of Einstein’s theory is known to have a representation as an integral over the moduli space of punctured spheres localized to the solutions of the scattering equations. In this paper we introduce three operations that can be applied on the integrand in order to produce other theories. Starting in d + M dimensions we use dimensional reduction to construct Einstein-Maxwell with gauge group U(1) M . The second operation turns gravitons into gluons and we call it “squeezing”. This gives rise to a formula for all multi-trace mixed amplitudes in Einstein-Yang-Mills. Dimensionally reducing Yang-Mills we find the S-matrix of a special Yang-Mills-Scalar (YMS) theory, and by the squeezing operation we find that of a YMS theory with an additional cubic scalar vertex. A corollary of the YMS formula gives one for a single massless scalar with a ϕ 4 interaction. Starting again from Einstein’s theory but in d + d dimensions we introduce a “generalized dimensional reduction” that produces the Born-Infeld theory or a special Galileon theory in d dimensions depending on how it is applied. An extension of Born-Infeld formula leads to one for the Dirac-Born-Infeld (DBI) theory. By applying the same operation to Yang-Mills we obtain the U( N ) non-linear sigma model (NLSM). Finally, we show how the Kawai-Lewellen-Tye relations naturally follow from our formulation and provide additional connections among these theories. One such relation constructs DBI from YMS and NLSM
Enhancement of magnetic and electrical properties in Sc substituted BiFeO3 multiferroic

Polycrystalline BiFe1-xScxO3 (x=0, 0.05, 0.1 and 0.15) compounds are prepared using solid state reaction. The XRD patterns show that all compounds are crystallized in rhombohedral structure with R3c space group. An induced weak ferromagnetism in Sc substituted BiFeO 3 due to suppression of spiral modulated spin structure is revealed. In addition, a spin glass like behaviour is observed from the zero field cooled (ZFC) and field cooled (FC) magnetization curves in the low temperature region. Further, the coupling between the ferroelectric and (anti) ferromagnetic orders is evident from the appearance of anomaly in the dielectric data near the magnetic Néel temperature (373 °C). The reduction of oxygen vacancies due to Sc substitution is evident from the ac conductivity data and the suppressed anomaly in dielectric data at 220 °C. The temperature dependence of ac conductivity is consistent with correlated barrier hopping (CBH) model. The temperature dependent ac conductivity and activation energies indicate that electronic conduction, oxygen vacancies movement and creation of defects are the prime contributors to the ac conductivity in measured temperature regions. The improved magnetic and electrical properties due to the structural modification are prominent for novel device applications
The many faces of nodal policing: Team play and improvisation in Dutch community safety

In this paper we reflect on how one police organization, the Dutch police, have acted to embrace nodal assemblages and nodal governance while they have pioneered a form of ‘conduit policing’ (Shearing, 1999). This strategy, conceived as policing with a ‘nodal orientation’, combines policing attention on flows of people, information and things through infrastructural nodes with the policing of local communities (Project Group Vision on Policing, 2006). We examine four initiatives of the Dutch police that illustrate different aspects of policing assemblages in Amsterdam. The analysis considers how these nodes have worked to integrate different, but compatible, conceptions of nodal policing
Spatial science and network science: Review and outcomes of a complex relationship

International audienceFor decades, the spatial approach to network analysis has principally focused on planar and technical networks from a classic graph theory perspective. Reference to models and methods developed by other disciplines on non-planar networks, such as sociology and physics, is recent, limited, and dispersed. Conversely, the physics literature that developed the popular scale-free and small-world models pays an increasing attention to the spatial dimension of networks. Reviewing how complex network research has been integrated into geography and regional science reveals a high heterogeneity among spatial scientists as well as key directions for increasing their role inside multidisciplinary researches on networks
Software System Understanding via Architectural Views Extraction According to Multiple Viewpoints

International audienceChanges and evolution of software systems constantly gener- ate new challenges for the recovery of software systems architectures. A system's architecture, together with its elements and the way they inter- act, constitute valuable assets for understanding the system. We believe that offering multiple architectural views of a given system, using domain and pattern knowledge enhance understanding of the software system as a whole. To correlate different sources of information and existing soft- ware system, different viewpoints are considered. Viewpoints enable one to model such information and guide the extraction algorithms to ex- tract multiple architectural views. We propose a recursive framework, an approach that expresses different kinds of information as viewpoints to guide the extraction process. These multiple viewpoints models al- low considering architectural, conceptual, and structural aspects of the system
Emotional Transactions in the Paris Subway
 : 
Combining Naturalistic Videotaping, Objective Facial Coding and Sequential Analysis in the Study of Nonverbal Emotional Behavior

International audienceWe report on what, to our knowledge, represents the first study of nonverbal emotional behavior in crowded public places combining naturalistic videotaping of situated activity, objective coding of facial movement, and sequential analysis of behavior. In the first part of the study we argue that passengers do not lose emotional sensitivity to physical contact as density (passengers per square meter) increases, which indicates that physical contact is experienced as a territorial intrusion regardless of crowdedness. In the second part of the study, we suggest that passengers resolve the emotions due to intrusive physical contacts through two interactional strategies involving facial movements usually interpreted as “expressions of emotions.” Since proxemic violations seem to represent a pervasive emotion elicitor, the protocol can be extended to other means of transportation and replicated in other locations. We conclude that the methodology provides an effective tool for theory-building in the study of nonverbal emotional behavior
Phenomenology and delusions: Who put the 'alien' in alien control?.

Although current models of delusion converge in proposing that delusions are based on unusual experiences, they differ in the role that they accord experience in the formation of delusions. On some accounts, the experience comprises the very content of the delusion, whereas on other accounts the delusion is adopted in an attempt to explain an unusual experience. We call these the endorsement and explanationist models, respectively. We examine the debate between endorsement and explanationist models with respect to the 'alien control' delusion. People with delusions of alien control believe that their actions and/or thoughts are being controlled by an external agent. Some accounts of alien control (e.g., Frith, Blakemore, & Wolpert, 2000a) are best thought of in explanationist terms; other accounts (e.g., Jeannerod, 1999) seem more suited to an endorsement approach. We argue that recent cognitive and neurophysiological evidence favours an endorsement model of the delusion of alien control
Filtered Pose Graph for Efficient Kinect Pose Reconstruction

International audienceBeing marker-free and calibration free, Microsoft Kinect is nowadays widely used in many motion-based applications, such as user training for complex industrial tasks and ergonomics pose evaluation. The major problem of Kinect is the placement requirement to obtain accurate poses, as well as its weakness against occlusions. To improve the robustness of Kinect in interactive motion-based applications, real-time data-driven pose reconstruction has been proposed. The idea is to utilize a database of accurately captured human poses as a prior to optimize the Kinect recognized ones, in order to estimate the true poses performed by the user. The key research problem is to identify the most relevant poses in the database for accurate and efficient reconstruction. In this paper, we propose a new pose reconstruction method based on modelling the pose database with a structure called Filtered Pose Graph, which indicates the intrinsic correspondence between poses. Such a graph not only speeds up the database poses selection process, but also improves the relevance of the selected poses for higher quality reconstruction. We apply the proposed method in a challenging environment of industrial context that involves sub-optimal Kinect placement and a large amount of occlusion. Experimental results show that our real-time system reconstructs Kinect poses more accurately than existing methods
Numerical Simulation of the Dynamics of Sedimentary River Beds with a Stochastic Exner Equation

International audienceAt the scale of a river reach, the dynamics of the river bed is typically modelled by Exner equation (conservation of the solid mass) with an empirical solid flux of transported sediments, which is a simple deterministic algebraic formula function of i) the sediment physical characteristics (size and mass) and of ii) the averaged hydrodynamical description of the ambient water flow. This model has proved useful, in particular through numerical simulations, for hydraulic engineering purposes (like estimating the mass of sediments that is drained through an open dam). Though, the model is also coarse. And its applicability at various space and time scales remains a question of considerable interest for sedimentologists. In particular, physical experiments from the grain scale to the laboratory scale reveal important fluctuations of the solid flux in given hydrodynamical conditions. This work is a preliminary study of the coupling of a stochastic Exner equation with a hydrody-namical model for large scales. (Stochastic models with a probabilistic solid flux are currently being investigated, but most often only from the viewpoint of theoretical physics at the grain scale.) We introduce a new stochastic Exner model and discuss it using numerical simulations in an appropriate test case
Rest shape computation for highly deformable model of brain.

International audienceIn medical simulations, finite element (FE) models are often extracted from medical images. This initial geometry usually corresponds to a state of the model at equilibrium between external and internal forces. Therefore, an important issue in biomechanics is to estimate the initial stress of FE model before running a simulation. this paper introduces a biomechanical model of the brain that will be used to model brain-shift during surgery. The initial stress is estimated for this model by taking into account gravity
Parameter-free and Multigrid Convergent Digital Curvature Estimators

International audienceIn many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field is an essential step. Focusing on multigrid convergent estimators, most of them require a user specified parameter to define the scale at which the analysis is performed (size of a convolution kernel, size of local patches for polynomial fitting, etc). In a previous work, we have proposed a new class of estimators on digital shape boundaries based on Integral Invariants. In this paper, we propose new variants of these estimators which are parameter-free and ensure multigrid convergence in 2D. As far as we know, these are the first parameter-free multigrid convergent curvature estimators
“The antiAtlas of Borders, A Manifesto”

International audienceThe antiAtlas of Borders is an experimentation at the crossroads of research, art and practice. It was launched in 2011 at the Mediterranean Institute of Advanced Studies (Aix Marseille University), and has been co-produced by the Higher School of Art (Aix en Provence), PACTE laboratory (University of Grenoble-CNRS), Isabelle Arvers and La compagnie. Since then, it has gathered researchers (social and hard scientists), artists (web artists, tactical geographers, hackers, filmmakers, etc.) and professionals (customs, industry, military, etc.). The encounter of people coming from these different fields of knowledge and practice aims to create a radical shift of perspective in the way we apprehend both 21 st century borders and the boundaries separating fields of knowledge, art and practice
Detecting IMSI-Catcher Using Soft Computing

Lately, from a secure system providing adequate user’s protection of confidentiality and privacy, the mobile communication has been degraded to be a less trustful one due to the revelation of IMSI catchers that enable mobile phone tapping. To fight against these illegal infringements there are a lot of activities aiming at detecting these IMSI catchers. However, so far the existing solutions are only device-based and intended for the users in their self-protection. This paper presents an innovative network-based IMSI catcher solution that makes use of machine learning techniques. After giving a brief description of the IMSI catcher the paper identifies the attributes of the IMSI catcher anomaly. The challenges that the proposed system has to surmount are also explained. Last but least, the overall architecture of the proposed Machine Learning based IMSI catcher Detection system is described thoroughly.Preprint version. © Springer Science+Business Media Singapore 2015. The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-287-936-3_1