cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On privacy amplification, lossy compression, and their duality to channel coding
Creators: name: Renes, Joseph M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Information Theory (cs.IT)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We examine the task of privacy amplification from information-theoretic and coding-theoretic points of view. In the former, we give a one-shot characterization of the optimal rate of privacy amplification against classical adversaries in terms of the optimal type-II error in asymmetric hypothesis testing. This formulation can be easily computed to give finite-blocklength bounds and turns out to be equivalent to smooth min-entropy bounds by Renner and Wolf [Asiacrypt 2005] and Watanabe and Hayashi [ISIT 2013], as well as a bound in terms of the $E_γ$ divergence by Yang, Schaefer, and Poor [arXiv:1706.03866 [cs.IT]]. In the latter, we show that protocols for privacy amplification based on linear codes can be easily repurposed for channel simulation. Combined with known relations between channel simulation and lossy source coding, this implies that privacy amplification can be understood as a basic primitive for both channel simulation and lossy compression. Applied to symmetric channels or lossy compression settings, our construction leads to proto- cols of optimal rate in the asymptotic i.i.d. limit. Finally, appealing to the notion of channel duality recently detailed by us in [IEEE Trans. Info. Theory 64, 577 (2018)], we show that linear error-correcting codes for symmetric channels with quantum output can be transformed into linear lossy source coding schemes for classical variables arising from the dual channel. This explains a "curious duality" in these problems for the (self-dual) erasure channel observed by Martinian and Yedidia [Allerton 2003; arXiv:cs/0408008] and partly anticipates recent results on optimal lossy compression by polar and low-density generator matrix codes.
description: v3: updated to include equivalence of the converse bound with smooth entropy formulations. v2: updated to include comparison with the one-shot bounds of arXiv:1706.03866. v1: 11 pages, 4 figures
A Note on the Impact of International Trade on the Growth of Developing Economics
Creators: name: Loures, Alexandre
name: Figueiredo, Erik
Publisher: name: figshare
Year: 2018
Subjects: subject: 140202 Economic Development and Growth
subject: FOS: Economics and business
subject: 140210 International Economics and International Finance
subject: 140304 Panel Data Analysis

description: This paper investigates the impact of international trade on the economic growth of a group of developing countries. For this, the structural model proposed by Anderson et al. (2014) is used. The results indicate that growth is stimulated by bilateral trade. Counterfactual exercises suggest that trade liberalization, whether it results from reduced NAFTA costs or a hyperglobalization process, has a significant and positive impact on social welfare for some of the countries analyzed. In the case of Brazil, the improvement in welfare is 0.25% and 9.13%, respectively. Overall, the results demonstrate that international trade can be used as a tool to leverage GDP growth and the welfare of countries.
title: ADCO, Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Cart. 32 (G 136), 745 folios, f. 0986
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0986, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0986, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards
Creators: name: Muralidhar, Rajeev
name: Borovica-Gajic, Renata
name: Buyya, Rajkumar
Publisher: name: arXiv
Year: 2020
Subjects: subject: Hardware Architecture (cs.AR)
subject: Emerging Technologies (cs.ET)
subject: FOS: Computer and information sciences

description: Computing systems have undergone several inflexion points - while Moore's law guided the semiconductor industry to cram more and more transistors and logic into the same volume, the limits of instruction-level parallelism (ILP) and the end of Dennard's scaling drove the industry towards multi-core chips. We have now entered the era of domain-specific architectures for new workloads like AI and ML. These trends continue, arguably with other limits, along with challenges imposed by tighter integration, extreme form factors and diverse workloads, making systems more complex from an energy efficiency perspective. Many research surveys have covered different aspects of techniques in hardware and microarchitecture across devices, servers, HPC, data center systems along with software, algorithms, frameworks for energy efficiency and thermal management. Somewhat in parallel, the semiconductor industry has developed techniques and standards around specification, modeling and verification of complex chips; these areas have not been addressed in detail by previous research surveys. This survey aims to bring these domains together and is composed of a systematic categorization of key aspects of building energy efficient systems - (a) specification - the ability to precisely specify the power intent or properties at different layers (b) modeling and simulation of the entire system or subsystem (hardware or software or both) so as to be able to perform what-if analysis, (c) techniques used for implementing energy efficiency at different levels of the stack, (d) verification techniques used to provide guarantees that the functionality of complex designs are preserved, and (e) energy efficiency standards and consortiums that aim to standardize different aspects of energy efficiency, including cross-layer optimizations.
description: 63 pages, 6 figures. arXiv admin note: text overlap with arXiv:1404.4629 by other authors
Lettre de Jean-Pierre Papon à Jean-François Séguier, 1775-05-27
Creators: name: Papon, Jean-Pierre
name: Papon, Jean-Pierre
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021
Subjects: Antiquités (général)
Epigraphie

description: [transcription] Monsieur,
Monsieur l’abbé de Balore, grand vicaire et neveu de M. l’évêque de Belley, veut bien se charger de vous remettre cette lettre. Je n’ai eu l’honneur de la voir qu’un moment, mais il m’a paru homme de beaucoup d’esprit. Il vient d’Italie et après avoir vu toutes les antiquités de ce pays-là, il est bien aise de voir la personne du monde qui les connaît le mieux et qui joint à ce mérite celui de faire part de ses lumières avec autant de zèle que de modestie. Vous savez, Monsieur, que je suis dans le cas de vous rendre cette justice et vous permettrez que j’ajoute aux obligations que je vous ai déjà celle que je vous devrai pour toutes les politesses que vous voudrez bien faire à Monsieur l’abbé de Balore.
J’adressai il y a près de trois semaines quelques inscriptions et les prospectus de l’histoire à M. le marquis de Méjanes en le priant de vous les faire passer par la première occasion. Je crains [fol. 68 v] que la maladie de Mme son épouse ne l’ait empêché d’y songer. Je suis impatient d’apprendre que vous l’ayez reçu parce que vous y trouverez comme dans toutes mes lettres des assurances du respectueux et sincère attachement avec lequel j’ai l’honneur d’être, Monsieur, votre très humble et très obéissant serviteur.

Papon de l’Oratoire.

Marseille, le 27 mai 1775.
description: [personnes citées] Gabriel Cortois de Quincey, Jean-Baptiste Marie de Piquet, marquis de Méjanes, Marie Gabrielle de Massilian, marquise de Méjanes, Pierre-Marie Madeleine Cortois de Balore
description: Source: [lieu de Conservation] Nîmes, Bibliothèque Carré d'Art [cote]ms. 147_6, fol. 68
description: Source: ark:/12148/btv1b10015294z
Competition between spin liquids and valence-bond order in the frustrated spin-$1/2$ Heisenberg model on the honeycomb lattice
Creators: name: Ferrari, Francesco
name: Bieri, Samuel
name: Becca, Federico
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Using variational wave functions and Monte Carlo techniques, we study the antiferromagnetic Heisenberg model with first-neighbor $J_1$ and second-neighbor $J_2$ antiferromagnetic couplings on the honeycomb lattice. We perform a systematic comparison of magnetically ordered and nonmagnetic states (spin liquids and valence-bond solids) to obtain the ground-state phase diagram. Néel order is stabilized for small values of the frustrating second-neighbor coupling. Increasing the ratio $J_2/J_1$, we find strong evidence for a continuous transition to a nonmagnetic phase at $J_2/J_1 \approx 0.23$. Close to the transition point, the Gutzwiller-projected uniform resonating valence bond state gives an excellent approximation to the exact ground-state energy. For $0.23 \lesssim J_2/J_1 \lesssim 0.4$, a gapless $Z_2$ spin liquid with Dirac nodes competes with a plaquette valence-bond solid. In contrast, the gapped spin liquid considered in previous works has significantly higher variational energy. Although the plaquette valence-bond order is expected to be present as soon as the Néel order melts, this ordered state becomes clearly favored only for $J_2/J_1 \gtrsim 0.3$. Finally, for $0.36 \lesssim J_2/J_1 \le 0.5$, a valence-bond solid with columnar order takes over as the ground state, being also lower in energy than the magnetic state with collinear order. We perform a detailed finite-size scaling and standard data collapse analysis, and we discuss the possibility of a deconfined quantum critical point separating the Néel antiferromagnet from the plaquette valence-bond solid.
description: 10 pages, 12 figures
Estimation of local treatment effects under the binary instrumental variable model
Creators: name: Wang, Linbo
name: Zhang, Yuexia
name: Richardson, Thomas S.
name: Robins, James M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Instrumental variables are widely used to deal with unmeasured confounding in observational studies and imperfect randomized controlled trials. In these studies, researchers often target the so-called local average treatment effect as it is identifiable under mild conditions. In this paper, we consider estimation of the local average treatment effect under the binary instrumental variable model. We discuss the challenges for causal estimation with a binary outcome, and show that surprisingly, it can be more difficult than the case with a continuous outcome. We propose novel modeling and estimating procedures that improve upon existing proposals in terms of model congeniality, interpretability, robustness or efficiency. Our approach is illustrated via simulation studies and a real data analysis.
Kinetic modeling of multiphase flow based on simplified Enskog equation
Creators: name: Zhang, Yudong
name: Xu, Aiguo
name: Qiu, Jingjiang
name: Wei, Hongtao
name: Wei, Zung-Hang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A new kinetic model for multiphase flow was presented under the framework of the discrete Boltzmann method (DBM). Significantly different from the previous DBM, a bottom-up approach was adopted in this model. The effects of molecular size and repulsion potential were described by the Enskog collision model; the attraction potential was obtained through the mean-field approximation method. The molecular interactions, which result in the non-ideal equation of state and surface tension, were directly introduced as an external force term. Several typical benchmark problems, including Couette flow, two-phase coexistence curve, the Laplace law, phase separation, and the collision of two droplets, were simulated to verify the model. Especially, for two types of droplet collisions, the strengths of two non-equilibrium effects, $\bar{D}_2^*$ and $\bar{D}_3^*$, defined through the second and third order non-conserved kinetic moments of $(f - f ^{eq})$, are comparatively investigated, where $f$ ($f^{eq}$) is the (equilibrium) distribution function. It is interesting to find that during the collision process, $\bar{D}_2^*$ is always significantly larger than $\bar{D}_3^*$, $\bar{D}_2^*$ can be used to identify the different stages of the collision process and to distinguish different types of collisions. The modeling method can be directly extended to a higher-order model for the case where the non-equilibrium effect is strong, and the linear constitutive law of viscous stress is no longer valid.
description: Accepted for publication in Frontiers of Physics
Morphological and non-equilibrium analysis of coupled Rayleigh-Taylor-Kelvin-Helmholtz instability
Creators: name: Chen, Feng
name: Xu, Aiguo
name: Zhang, Yudong
name: Zeng, Qingkai
Publisher: name: arXiv
Year: 2020
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: FOS: Physical sciences

description: In this paper, the coupled Rayleigh-Taylor-Kelvin-Helmholtz instability(RTI, KHI and RTKHI, respectively) system is investigated using a multiple-relaxation-time discrete Boltzmann model. Both the morphological boundary length and thermodynamic nonequilibrium (TNE) strength are introduced to probe the complex configurations and kinetic processes. In the simulations, RTI always plays a major role in the later stage, while the main mechanism in the early stage depends on the comparison of buoyancy and shear strength. It is found that, both the total boundary length $L$ of the condensed temperature field and the mean heat flux strength $D_{3,1}$ can be used to measure the ratio of buoyancy to shear strength, and to quantitatively judge the main mechanism in the early stage of the RTKHI system. Specifically, when KHI (RTI) dominates, $L^{KHI} > L^{RTI}$ ($L^{KHI} < L^{RTI}$), $D_{3,1}^{KHI} > D_{3,1}^{RTI}$ ($D_{3,1}^{KHI} < D_{3,1}^{RTI}$); when KHI and RTI are balanced, $L^{KHI} = L^{RTI}$, $D_{3,1}^{KHI} = D_{3,1}^{RTI}$. A second sets of findings are as below: For the case where the KHI dominates at earlier time and the RTI dominates at later time, the evolution process can be roughly divided into two stages. Before the transition point of the two stages, $L^{RTKHI}$ initially increases exponentially, and then increases linearly. Hence, the ending point of linear increasing $L^{RTKHI}$ can work as a geometric criterion for discriminating the two stages. The TNE quantity, heat flux strength $D_{3,1}^{RTKHI}$, shows similar behavior. Therefore, the ending point of linear increasing $D_{3,1}^{RTKHI}$ can work as a physical criterion for discriminating the two stages.
A Note on the Impact of International Trade on the Growth of Developing Economics
Creators: name: Loures, Alexandre
name: Figueirdo, Erik
Publisher: name: figshare
Year: 2018
Subjects: subject: 140210 International Economics and International Finance
subject: FOS: Economics and business
subject: 140304 Panel Data Analysis
subject: 140202 Economic Development and Growth

description: This paper investigates the impact of international trade on the economic growth of
a group of developing countries. For this, the structural model proposed by Anderson
et al. (2014) is used. The results indicate that growth is stimulated by bilateral trade.
Counterfactual exercises suggest that trade liberalization, whether it results from reduced
NAFTA costs or a hyperglobalization process, has a significant and positive impact
on social welfare for some of the countries analyzed. In the case of Brazil, the
improvement in welfare is 0.25% and 9.13%, respectively. Overall, the results demonstrate
that international trade can be used as a tool to leverage GDP growth and the
welfare of countries.This paper investigates the impact of international trade on the economic growth of a group of developing countries. For this, the structural model proposed by Anderson et al. (2014) is used. The results indicate that growth is stimulated by bilateral trade. Counterfactual exercises suggest that trade liberalization, whether it results from reduced NAFTA costs or a hyperglobalization process, has a significant and positive impact on social welfare for some of the countries analyzed. In the case of Brazil, the improvement in welfare is 0.25% and 9.13%, respectively. Overall, the results demonstrate that international trade can be used as a tool to leverage GDP growth and the welfare of countries.
title: Lettre de Louis VII à ses prévôts, 1154-1180, Archives départementales des Yvelines, cote 45H8 8
Creators: name: des Yvelines, archives départementales
name: Archives Départementales Des Yvelines
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2022
Subjects: subject: LaMOP
subject: Laboratoire de médiévistique occidentale de Paris

description: Lettre de Louis VII à ses prévôts, prenant sous sa sauvegarde toutes les possessions de l’abbaye Notre Dame des Vaux-de-Cernay, 1154-1180. Transcription : Françoise Jenn, catalogue de l’exposition Histoire et patrimoine des Yvelines de Hugues Capet à Philippe Auguste (987-1223)
Document transcrit par Françoise Jenn.
description: Source: https://educarchives.yvelines.fr/les-representations-du-pouvoir-royal-1#visionneuse-cms_5285280_0
description: Source: https://www.nakala.fr/10.34847/nkl.9b227ui1
description: Lettre de Louis VII à ses prévôts, 1154-1180, Archives départementales des Yvelines, cote 45H8 8
description: date: 1154/1180
On the hard sphere model and sphere packings in high dimensions
Creators: name: Jenssen, Matthew
name: Joos, Felix
name: Perkins, Will
Publisher: name: arXiv
Year: 2017
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We prove a lower bound on the entropy of sphere packings of $\mathbb R^d$ of density $Θ(d \cdot 2^{-d})$. The entropy measures how plentiful such packings are, and our result is significantly stronger than the trivial lower bound that can be obtained from the mere existence of a dense packing. Our method also provides a new, statistical-physics-based proof of the $Ω(d \cdot 2^{-d})$ lower bound on the maximum sphere packing density by showing that the expected packing density of a random configuration from the hard sphere model is at least $(1+o_d(1)) \log(2/\sqrt{3}) d \cdot 2^{-d}$ when the ratio of the fugacity parameter to the volume covered by a single sphere is at least $3^{-d/2}$. Such a bound on the sphere packing density was first achieved by Rogers, with subsequent improvements to the leading constant by Davenport and Rogers, Ball, Vance, and Venkatesh.
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
Creators: name: Tsai, Wen-Ping
name: Feng, Dapeng
name: Pan, Ming
name: Beck, Hylke
name: Lawson, Kathryn
name: Yang, Yuan
name: Liu, Jiangtao
name: Shen, Chaopeng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The behaviors and skills of models in many geosciences (e.g., hydrology and ecosystem sciences) strongly depend on spatially-varying parameters that need calibration. A well-calibrated model can reasonably propagate information from observations to unobserved variables via model physics, but traditional calibration is highly inefficient and results in non-unique solutions. Here we propose a novel differentiable parameter learning (dPL) framework that efficiently learns a global mapping between inputs (and optionally responses) and parameters. Crucially, dPL exhibits beneficial scaling curves not previously demonstrated to geoscientists: as training data increases, dPL achieves better performance, more physical coherence, and better generalizability (across space and uncalibrated variables), all with orders-of-magnitude lower computational cost. We demonstrate examples that learned from soil moisture and streamflow, where dPL drastically outperformed existing evolutionary and regionalization methods, or required only ~12.5% of the training data to achieve similar performance. The generic scheme promotes the integration of deep learning and process-based models, without mandating reimplementation.
Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis
Creators: name: Blaschke, Johannes P.
name: Brewster, Aaron S.
name: Paley, Daniel W.
name: Mendez, Derek
name: Bhowmick, Asmit
name: Sauter, Nicholas K.
name: Kröger, Wilko
name: Shankar, Murali
name: Enders, Bjoern
name: Bard, Deborah
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: X-ray scattering experiments using Free Electron Lasers (XFELs) are a powerful tool to determine the molecular structure and function of unknown samples (such as COVID-19 viral proteins). XFEL experiments are a challenge to computing in two ways: i) due to the high cost of running XFELs, a fast turnaround time from data acquisition to data analysis is essential to make informed decisions on experimental protocols; ii) data collection rates are growing exponentially, requiring new scalable algorithms. Here we report our experiences analyzing data from two experiments at the Linac Coherent Light Source (LCLS) during September 2020. Raw data were analyzed on NERSC's Cori XC40 system, using the Superfacility paradigm: our workflow automatically moves raw data between LCLS and NERSC, where it is analyzed using the software package CCTBX. We achieved real time data analysis with a turnaround time from data acquisition to full molecular reconstruction in as little as 10 min -- sufficient time for the experiment's operators to make informed decisions. By hosting the data analysis on Cori, and by automating LCLS-NERSC interoperability, we achieved a data analysis rate which matches the data acquisition rate. Completing data analysis with 10 mins is a first for XFEL experiments and an important milestone if we are to keep up with data collection trends.
title: Stellungnahme zur Institutionellen Reakkreditierung der HSBA Hamburg School of Business Administration
Creators: name: German Science And Humanities Council
Publisher: name: German Science and Humanities Council
Year: 2024
Subjects: Akkreditierung
Fachhochschulen
Qualitätssicherung
Private Hochschulen
Hochschulen
Akkreditierungszeitraum 5 Jahre
Hochschulförmigkeit

description: Die HSBA wurde 2004 gegründet. Sie ist unbefristet staatlich anerkannt. Sie bietet praxisorientierte Bachelor- und Masterstudiengänge mit betriebswirtschaftswissenschaftlicher Ausrichtung an. Schwerpunkte liegen auf dem dualen Studium und der Internationalisierung. Im Wintersemester 2023/24 waren an der HSBA rd. 960 Studierende eingeschrieben.
The completion and local cohomology theorems for complex cobordism for all compact Lie groups
Creators: name: La Vecchia, Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 55N91, 55P91, 55Q91, 57R85

description: We generalize the completion theorem for equivariant MU-module spectra for finite groups or finite extensions of a torus to compact Lie groups using the splitting of global functors proved by Schwede. This proves a conjecture of Greenlees and May.
description: 12 pages
title: Welcome to Processes—A New Open Access Journal on Chemical and Biological Process Technology
Creators: name: Henson, Michael A.
Publisher: name: University of Massachusetts Amherst
Year: 2013

description: Note: In lieu of an abstract, this is an excerpt from the first page. As the result of remarkable technological progress, this past decade has witnessed considerable advances in our ability to manipulate natural and engineered systems, particularly at the molecular level. These advancements offer the potential to revolutionize our world through the development of novel soft and hard materials and the construction of new cellular platforms for chemical and pharmaceutical synthesis. For these technologies to truly impact society, the development of process technology that will enable effective large-scale production is essential. Improved processes are also needed for more established technologies in chemical and biochemical manufacturing, as these industries face ever increasing competitive pressure that mandates continuous improvement.
Anomalous density fluctuations in a strange metal
Creators: name: Mitrano, M.
name: Husain, A. A.
name: Vig, S.
name: Kogar, A.
name: Rak, M. S.
name: Rubeck, S. I.
name: Schmalian, J.
name: Uchoa, B.
name: Schneeloch, J.
name: Zhong, R.
name: Gu, G. D.
name: Abbamonte, P.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A central mystery in high temperature superconductivity is the origin of the so-called "strange metal," i.e., the anomalous conductor from which superconductivity emerges at low temperature. Measuring the dynamic charge response of the copper-oxides, $χ''(q,ω)$, would directly reveal the collective properties of the strange metal, but it has never been possible to measure this quantity with meV resolution. Here, we present the first measurement of $χ''(q,ω)$ for a cuprate, optimally doped Bi$_2$Sr$_2$CaCu$_2$O$_{8+x}$ ($T_c=91$ K), using momentum-resolved inelastic electron scattering. In the medium energy range 0.1-2 eV relevant to the strange metal, the spectra are dominated by a featureless, temperature- and momentum-independent continuum persisting to the eV energy scale. This continuum displays a simple power law form, exhibiting $q^2$ behavior at low energy and $q^2/ω^2$ behavior at high energy. Measurements of an overdoped crystal ($T_c=50$ K) showed the emergence of a gap-like feature at low temperature, indicating deviation from power law form outside the strange metal regime. Our study suggests the strange metal exhibits a new type of charge dynamics in which excitations are local to such a degree that space and time axes are decoupled.
description: 21 pages, 8 figures
A synthetic monopole source of Kalb-Ramond field in diamond
Creators: name: Chen, Mo
name: Li, Changhao
name: Palumbo, Giandomenico
name: Zhu, Yan-Qing
name: Goldman, Nathan
name: Cappellaro, Paola
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Magnetic monopoles play a central role in various areas of fundamental physics, ranging from electromagnetism to topological states of matter. While their observation is elusive in high-energy physics, monopole sources of artificial gauge fields have been recently identified in synthetic matter. String theory, a potentially unifying framework that encompasses quantum mechanics, promotes the conventional \emph{vector} gauge fields of electrodynamics to \emph{tensor} gauge fields, and predicts the existence of more exotic \emph{tensor monopoles} in 4D space. Here we report on the characterization of a tensor monopole synthesized in a 4D parameter space by the spin degrees of freedom of a single solid-state defect in diamond. Using two complementary methods, we characterize the tensor monopole by measuring its quantized topological charge and its emanating Kalb-Ramond field. By introducing a fictitious external field that breaks chiral symmetry, we further observe an intriguing transition in the spectrum, characterized by spectral rings protected by mirror symmetries. Our work represents the first detection of tensor monopoles in a solid-state system and opens up the possibility of emulating exotic topological structures inspired by string theory.
description: main: 15 pages, 3 figures + SI: 23 pages, 28 figures
Identity Disturbances in Borderline Personality Disorder: A Scoping Review Protocol
Creators: name: Lorente, Sonia
name: Feixas, Guillem
name: Aragonès, Víctor Suárez
name: Mullins, Danielle
Publisher: name: OSF Registries
Year: 2023
Subjects: subject: Social and Behavioral Sciences

description: The primary objective of this scoping review is to define what is said in the literature about identity disturbances, their types, and how they are measured.
The Neutrino Signal From Pair Instability Supernovae
Creators: name: Wright, Warren P.
name: Gilmer, Matthew S.
name: Fröhlich, Carla
name: Kneller, James P.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: A very massive star with a carbon-oxygen core in the range of $64$ M$_{\odot}
description: Added a second PISN model plus numerous smaller improvements. Accepted by Phys Rev D
title: ADCO, Cartulaire de Cîteaux pour les possessions de Dijon et du Dijonnais (XVe siècle), Cart. 175 (11 H 479), 115 folios, f. 0232
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2017
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire de Cîteaux pour les possessions de Dijon et du Dijonnais (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 175 (11 H 479), 115 folios, f. 0232, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour les possessions de Dijon et du Dijonnais (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 175 (11 H 479), 115 folios, f. 0232, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Configuration spaces of disks in a strip, twisted algebras, persistence, and other stories
Creators: name: Alpert, Hannah
name: Manin, Fedor
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Topology (math.AT)
subject: Combinatorics (math.CO)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 55R80 (18A25)

description: We give $\mathbb{Z}$-bases for the homology and cohomology of the configuration space $\operatorname{config}(n,w)$ of $n$ unit disks in an infinite strip of width $w$, first studied by Alpert, Kahle and MacPherson. We also study the way these spaces evolve both as $n$ increases (using the framework of representation stability) and as $w$ increases (using the framework of persistent homology). Finally, we include some results about the cup product in the cohomology and about the configuration space of unordered disks.
description: 49 pages, 15 figures. Builds on and supersedes arXiv:2006.01240. v2 corrects problems with Sections 2 and 9 and expands and clarifies arguments elsewhere
A Note on the Impact the International Trade on the Growth Develpment Economics
Creators: name: Loures, Alexandre
name: Figueiredo, Erik
Publisher: name: figshare
Year: 2018
Subjects: subject: 140202 Economic Development and Growth
subject: FOS: Economics and business
subject: 140210 International Economics and International Finance
subject: 140304 Panel Data Analysis

description: This paper investigates the impact of international trade on the economic growth of a group of developing countries. For this, the structural model proposed by Anderson et al. (2014) is used. The results indicate that growth is stimulated by bilateral trade. Counterfactual exercises suggest that trade liberalization, whether it results from reduced NAFTA costs or a hyperglobalization process, has a significant and positive impact on social welfare for some of the countries analyzed. In the case of Brazil, the improvement in welfare is 0.25% and 9.13%, respectively. Overall, the results demonstrate that international trade can be used as a tool to leverage GDP growth and the welfare of countries.
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments
Creators: name: Gomez-Ojeda, Ruben
name: Zhang, Zichao
name: Gonzalez-Jimenez, Javier
name: Scaramuzza, Davide
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: One of the main open challenges in visual odometry (VO) is the robustness to difficult illumination conditions or high dynamic range (HDR) environments. The main difficulties in these situations come from both the limitations of the sensors and the inability to perform a successful tracking of interest points because of the bold assumptions in VO, such as brightness constancy. We address this problem from a deep learning perspective, for which we first fine-tune a Deep Neural Network (DNN) with the purpose of obtaining enhanced representations of the sequences for VO. Then, we demonstrate how the insertion of Long Short Term Memory (LSTM) allows us to obtain temporally consistent sequences, as the estimation depends on previous states. However, the use of very deep networks does not allow the insertion into a real-time VO framework; therefore, we also propose a Convolutional Neural Network (CNN) of reduced size capable of performing faster. Finally, we validate the enhanced representations by evaluating the sequences produced by the two architectures in several state-of-art VO algorithms, such as ORB-SLAM and DSO.
Robust optimal estimation of location from discretely sampled functional data
Creators: name: Kalogridis, Ioannis
name: Van Aelst, Stefan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Estimating location is a central problem in functional data analysis, yet most current estimation procedures either unrealistically assume completely observed trajectories or lack robustness with respect to the many kinds of anomalies one can encounter in the functional setting. To remedy these deficiencies we introduce the first class of optimal robust location estimators based on discretely sampled functional data. The proposed method is based on M-type smoothing spline estimation with repeated measurements and is suitable for both commonly and independently observed trajectories that are subject to measurement error. We show that under suitable assumptions the proposed family of estimators is minimax rate optimal both for commonly and independently observed trajectories and we illustrate its highly competitive performance and practical usefulness in a Monte-Carlo study and a real-data example involving recent Covid-19 data.
Astraea: Predicting Long Rotation Periods with 27-Day Light Curves
Creators: name: Yuxi
name: Lu
name: Angus, Ruth
name: ~Agüeros, Marcel A.
name: Blancato, Kirsten
name: Ness, Melissa
name: ~Curtis, Jason L.
name: Grunblatt, Sam
Publisher: name: arXiv
Year: 2020
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The rotation periods of planet-hosting stars can be used for modeling and mitigating the impact of magnetic activity in radial velocity measurements and can help constrain the high-energy flux environment and space weather of planetary systems. Millions of stars and thousands of planet hosts are observed with the Transiting Exoplanet Survey Satellite (TESS). However, most will only be observed for 27 contiguous days in a year, making it difficult to measure rotation periods with traditional methods. This is especially problematic for field M dwarfs, which are ideal candidates for exoplanet searches, but which tend to have periods in excess of the 27-day observing baseline. We present a new tool, Astraea, for predicting long rotation periods from short-duration light curves combined with stellar parameters from Gaia DR2. Using Astraea, we can predict the rotation periods from Kepler 4-year light curves with 13% uncertainty overall (and a 9% uncertainty for periods > 30 days). By training on 27-day Kepler light curve segments, Astraea can predict rotation periods up to 150 days with 9% uncertainty (5% for periods > 30 days). After training this tool on these 27-day Kepler light curve segments, we applied \texttt{Astraea} to real TESS data. For the 195 stars that were observed by both Kepler and TESS, we were able to predict the rotation periods with 55% uncertainty despite the wild differences in systematics.
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
Creators: name: Tang, Tingting
name: Ali, Ramy E.
name: Hashemi, Hanieh
name: Gangwani, Tynan
name: Avestimehr, Salman
name: Annavaram, Murali
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Cryptography and Security (cs.CR)
subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Stragglers, Byzantine workers, and data privacy are the main bottlenecks in distributed cloud computing. Some prior works proposed coded computing strategies to jointly address all three challenges. They require either a large number of workers, a significant communication cost or a significant computational complexity to tolerate Byzantine workers. Much of the overhead in prior schemes comes from the fact that they tightly couple coding for all three problems into a single framework. In this paper, we propose Adaptive Verifiable Coded Computing (AVCC) framework that decouples the Byzantine node detection challenge from the straggler tolerance. AVCC leverages coded computing just for handling stragglers and privacy, and then uses an orthogonal approach that leverages verifiable computing to mitigate Byzantine workers. Furthermore, AVCC dynamically adapts its coding scheme to trade-off straggler tolerance with Byzantine protection. We evaluate AVCC on a compute-intensive distributed logistic regression application. Our experiments show that AVCC achieves up to $4.2\times$ speedup and up to $5.1\%$ accuracy improvement over the state-of-the-art Lagrange coded computing approach (LCC). AVCC also speeds up the conventional uncoded implementation of distributed logistic regression by up to $7.6\times$, and improves the test accuracy by up to $12.1\%$.
Two-step approach to scheduling quantum circuits
Creators: name: Guerreschi, Gian Giacomo
name: Park, Jongsoo
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: Emerging Technologies (cs.ET)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: As the effort to scale up existing quantum hardware proceeds, it becomes necessary to schedule quantum gates in a way that minimizes the number of operations. There are three constraints that have to be satisfied: the order or dependency of the quantum gates in the specific algorithm, the fact that any qubit may be involved in at most one gate at a time, and the restriction that two-qubit gates are implementable only between connected qubits. The last aspect implies that the compilation depends not only on the algorithm, but also on hardware properties like connectivity. Here we suggest a two-step approach in which logical gates are initially scheduled neglecting connectivity considerations, while routing operations are added at a later step in a way that minimizes their overhead. We rephrase the subtasks of gate scheduling in terms of graph problems like edge-coloring and maximum subgraph isomorphism. While this approach is general, we specialize to a one dimensional array of qubits to propose a routing scheme that is minimal in the number of exchange operations. As a practical application, we schedule the Quantum Approximate Optimization Algorithm in a linear geometry and quantify the reduction in the number of gates and circuit depth that results from increasing the efficacy of the scheduling strategies.
description: Edited text. Added figure summarizing the two-step approach
Learning through Participation: Immersive Learning
Creators: name: Kenwright
Publisher: name: figshare
Year: 2018
Subjects: subject: 80111 Virtual Reality and Related Simulation
subject: FOS: Computer and information sciences

description: The field of education is limitless with so much still to discover. One particular area of education is immersive learning. Placing the learner at the heart of the topic - not as a passive bystander but as an active participant - is the impetus behind the hugely varied work of immersive learning. Done well, it can generate powerful, long term effects that will stay with the learner forever. Making an immersive course requires a range of things to consider, such as: deciding what kind of course you want to teach, understanding your learners and their experiences,balancing interaction and engagement,giving the learners an active role (thin line between free will and uncontrolled chaos), managing complex sessions and handling/preparing for the unexpected, extending the learners understanding and experience outside of the classroom, generating innovative ideas and tactics for the material. In this article, we discuss and review the creation of immersive learning in a variety of styles and settings. Immersive learning is a fascinating concept that offers insights into inspirational ideals to fuel the performance of communication of knowledge.
On the estimation of the Mori-Zwanzig memory integral
Creators: name: Zhu, Yuanran
name: Dominy, Jason M.
name: Venturi, Daniele
Publisher: name: arXiv
Year: 2017
Subjects: subject: Numerical Analysis (math.NA)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We develop rigorous estimates and provably convergent approximations for the memory integral in the Mori-Zwanzig (MZ) formulation. The new theory is built upon rigorous mathematical foundations and is presented for both state-space and probability density function space formulations of the MZ equation. In particular, we derive errors bounds and sufficient convergence conditions for short-memory approximations, the $t$-model, and hierarchical (finite-memory) approximations. In addition, we derive computable upper bounds for the MZ memory integral, which allow us to estimate (a priori) the contribution of the MZ memory to the dynamics. Numerical examples demonstrating convergence of the proposed algorithms are presented for linear and nonlinear dynamical systems evolving from random initial states.
description: 42 pages, 7 figures
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
Creators: name: Kaur, Manpreet
name: Salim, Flora D.
name: Ren, Yongli
name: Chan, Jeffrey
name: Tomko, Martin
name: Sanderson, Mark
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Retrieval (cs.IR)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators. Our analysis shows that many users exhibit a high correlation between their cyber activities and their physical context. To find this correlation, we propose a mechanism to semantically label a physical space with rich categorical information from DBPedia concepts and compute a contextual similarity that represents a user's activities with the mall context. We demonstrate the application of cyber-physical contextual similarity in two situations: user visit intent classification and future location prediction. The experimental results demonstrate that exploitation of contextual similarity significantly improves the accuracy of such applications.
description: Accepted in ACM Transactions on Sensor Networks, 2020
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
Creators: name: Bruno, Matteo
name: Lambiotte, Renaud
name: Saracco, Fabio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Online Social Networks represent a novel opportunity for political campaigns, revolutionising the paradigm of political communication. Nevertheless, many studies uncovered the presence of d/misinformation campaigns or of malicious activities by genuine or automated users, putting at severe risk the credibility of online platforms. This phenomenon is particularly evident during crucial political events, as political elections. In the present paper, we provide a comprehensive description of the structure of the networks of interactions among users and bots during the UK elections of 2019. In particular, we focus on the polarised discussion about Brexit on Twitter analysing a data set made of more than 10 million tweets posted for over a month. We found that the presence of automated accounts fostered the debate particularly in the days before the UK national elections, in which we find a steep increase of bots in the discussion; in the days after the election day, their incidence returned to values similar to the ones observed few weeks before the elections. On the other hand, we found that the number of suspended users (i.e. accounts that were removed by the platform for some violation of the Twitter policy) remained constant until the election day, after which it reached significantly higher values. Remarkably, after the TV debate between Boris Johnson and Jeremy Corbyn, we observed the injection of a large number of novel bots whose behaviour is markedly different from that of pre-existing ones. Finally, we explored the bots' stance, finding that their activity is spread across the whole political spectrum, although in different proportions, and we studied the different usage of hashtags by automated accounts and suspended users, thus targeting the formation of common narratives in different sides of the debate.
description: 18 pages, 13 figures