cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis
Creators: name: Dundar, Murat
name: Ehlmann, Bethany L.
name: Leask, Ellen K.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: A hierarchical Bayesian classifier is trained at pixel scale with spectral data from the CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) imagery. Its utility in detecting rare phases is demonstrated with new geologic discoveries near the Mars-2020 rover landing site. Akaganeite is found in sediments on the Jezero crater floor and in fluvial deposits at NE Syrtis. Jarosite and silica are found on the Jezero crater floor while chlorite-smectite and Al phyllosilicates are found in the Jezero crater walls. These detections point to a multi-stage, multi-chemistry history of water in Jezero crater and the surrounding region and provide new information for guiding the Mars-2020 rover's landed exploration. In particular, the akaganeite, silica, and jarosite in the floor deposits suggest either a later episode of salty, Fe-rich waters that post-date Jezero delta or groundwater alteration of portions of the Jezero sedimentary sequence.
Third-order spontaneous parametric down-conversion in thin optical fibers as a photon-triplet source
Creators: name: Corona, Maria
name: Garay-Palmett, Karina
name: U'Ren, Alfred
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the third order spontaneous parametric down conversion (TOSPDC) process, as a means to generate entangled photon triplets. Specifically, we consider thin optical fibers as the nonlinear medium to be used as the basis for TOSPDC in configurations where phase matching is attained through the use of more than one fiber transverse modes. Our analysis in this paper, which follows from our earlier paper Optics Letters 36, 190 (2011), aims to supply experimentalists with the details required in order to design a TOSPDC photon-triplet source. Specifically, our analysis focuses on the photon triplet state, on the rate of emission, and on the TOSPDC phasematching characteristics for the cases of frequency degenerate and frequency nondegenerate TOSPDC.
Weighted Quasi Interpolant Spline Approximations: Properties and Applications
Creators: name: Raffo, Andrea
name: Biasotti, Silvia
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Geometry (cs.CG)
subject: Applications (stat.AP)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: G.1.2; I.3.5; G.3; G.1.10
subject: 41A15, 65D18, 62G08,

description: Continuous representations are fundamental for modeling sampled data and performing computations and numerical simulations directly on the model or its elements. To effectively and efficiently address the approximation of point clouds we propose the Weighted Quasi Interpolant Spline Approximation method (wQISA). We provide global and local bounds of the method and discuss how it still preserves the shape properties of the classical quasi-interpolation scheme. This approach is particularly useful when the data noise can be represented as a probabilistic distribution: from the point of view of nonparametric regression, the wQISA estimator is robust to random perturbations, such as noise and outliers. Finally, we show the effectiveness of the method with several numerical simulations on real data, including curve fitting on images, surface approximation and simulation of rainfall precipitations.
Simulating star formation in Ophiuchus
Creators: name: Lomax, O.
name: Whitworth, A. P.
name: Hubber, D. A.
name: Stamatellos, D.
name: Walch, S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We have simulated star formation in prestellar cores, using SPH and initial conditions informed by observations of the cores in Ophiuchus. Because the observations are limited to two spatial dimensions plus radial velocity, we cannot infer initial conditions for the collapse of a particular core. However, with a minimum of assumptions (isotropic turbulence with a power-law spectrum, a thermal mix of compressive and solenoidal modes, a critical Bonnor-Ebert density profile) we can generate initial conditions that match, in a statistical sense, the distributions of mass, projected size and aspect ratio, thermal and non-thermal one-dimensional velocity dispersion, observed in Ophiuchus. The time between core-core collisions in Ophiuchus is sufficiently long, that we can simulate single cores evolving is isolation, and therefore we are able to resolve masses well below the opacity limit. We generate an ensemble of 100 cores, and evolve them with no radiative feedback from the stars formed, then with continuous radiative feedback, and finally with episodic radiative feedback. With no feedback the simulations produce too many brown dwarfs, and with continuous feedback too few. With episodic radiative feedback, both the peak of the protostellar mass function (at ~ 0.2 M_sun) and the ratio of H-burning stars to brown dwarfs are consistent with observations. The mass of a star is not strongly related to the mass of the core in which it forms. Low-mass cores (M ~ 0.1 M_sun) tend to collapse into single objects, whereas high-mass cores (1 > M_sun) usually fragment into several objects with a broad mass range.
description: 16 pages, 9 figures. Accepted by MNRAS
The Crab nebula variability at short timescales with the Cherenkov Telescope Array
Creators: name: Mestre, Enrique
name: Wilhelmi, Emma de Ona
name: Khangulyan, Dmitry
name: Zanin, Roberta
name: Acero, Fabio
name: Torres, Diego F.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Since 2009, several rapid and bright flares have been observed at high energies (>100 MeV) from the direction of the Crab Nebula. Several hypotheses have been put forward to explain this phenomenon, but the origin is still unclear. The detection of counterparts at higher energies with the next generation of Cherenkov telescopes will be determinant to constrain the underlying emission mechanisms. We aim at studying the capability of the Cherenkov Telescope Array (CTA) to explore the physics behind the flares, by performing simulations of the Crab Nebula spectral energy distribution, both in flaring and steady state, for different parameters related to the physical conditions in the nebula. In particular, we explore the data recorded by Fermi during two particular flares that occurred in 2011 and 2013. The expected GeV and TeV gamma-ray emission is derived using different radiation models. The resulting emission is convoluted with the CTA response and tested for detection, obtaining an exclusion region for the space of parameters that rule the different flare emission models. Our simulations show different scenarios that may be favourable for achieving the detection of the flares in Crab with CTA, in different regimes of energy. In particular, we find that observations with low sub-100 GeV energy threshold telescopes could provide the most model-constraining results.
description: 11 pages, 9 figures; typos corrected
The Talented Mr. Inversive Triangle in the Elliptic Billiard
Creators: name: Reznik, Dan
name: Garcia, Ronaldo
name: Helman, Mark
Publisher: name: arXiv
Year: 2020
Subjects: subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: 51M04 and 51N20 and 51N35 and 68T20

description: Inverting the vertices of elliptic billiard N-periodics with respect to a circle centered on one focus yields a new "focus-inversive" family inscribed in Pascal's Limaçon. The following are some of its surprising invariants: (i) perimeter, (ii) sum of cosines, and (iii) sum of distances from inversion center (the focus) to vertices. We prove these for the N=3 case, showing that this family (a) has a stationary Gergonne point, (b) is a 3-periodic family of a second, rigidly moving elliptic billiard, and (c) the loci of incenter, barycenter, circumcenter, orthocenter, nine-point center, and a great many other triangle centers are circles.
description: 15 pages, 10 figures, 2 tables, 9 video links
Enabling private sector investment in large scale wastewater treatment - Business Models 19
Creators: name: Felgenhauer, Katharina
name: Felgenhauer, Katharina
Publisher: name: Unknown
Year: 2018
Subjects: subject: Health Economics and Policy
subject: Industrial Organization
subject: Public Economics
subject: Risk and Uncertainty
subject: Private sector
subject: Private investment
subject: Wastewater treatment
subject: Wastewater irrigation
subject: Large enterprises
subject: Business models
subject: Supply chains
subject: Environmental health
subject: Risk reduction
subject: Health hazards

description: In Otoo, Miriam; Drechsel, Pay (Eds.). Resource recovery from waste: business models for energy, nutrient and water reuse in low- and middle-income countries. Oxon, UK: Routledge - Earthscan
Upper and lower bounds for the speed of fronts of the reaction diffusion equation with Stefan boundary conditions
Creators: name: Benguria, R. D.
name: Depassier, M. C.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We establish two integral variational principles for the spreading speed of the one dimensional reaction diffusion equation with Stefan boundary conditions. The first principle is valid for monostable reaction terms and the second principle is valid for arbitrary reaction terms. These principles allow to obtain several upper and lower bounds for the speed. In particular, we construct a generalized Zeldovich-Frank-Kamenetskii type lower bound for the speed and upper bounds in terms of the speed of the standard reaction diffusion problem. We construct asymptotically exact lower bounds previously obtained by perturbation theory.
description: 16 pages, 1 figure. New results and references added
Wie der Fürst Schnatteratowski seine politische Toilette zwischen dem rechten und linken Spiegel macht; [1848]
Creators: name: (:Unav)
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2018

description: Vorlageform der Veröffentlichungsangabe: Lith Anst v Ed Gust May in Frankfurt aM
Poisson structures for two nonholonomic systems with partially reduced symmetries
Creators: name: Tsiganov, A V
Publisher: name: arXiv
Year: 2013
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: Dynamical Systems (math.DS)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: Primary: 34D20, Secondary: 70E40, 37J3

description: We consider nonholonomic systems which symmetry groups consist of two subgroups one of which represents rotations about the axis of symmetry. After nonholonomic reduction by another subgroup the corresponding vector fields on partially reduced phase space are linear combinations of the Hamiltonian and symmetry vector fields. The reduction of the Poisson bivectors associated with the Hamiltonian vector fields to canonical form is discussed.
description: 22 pages, LaTeX with AMS Fonts
The GALEX Nearby Young-Star Survey
Creators: name: Rodriguez, David R.
name: Zuckerman, B.
name: Kastner, Joel H.
name: Bessel, M. S.
name: Faherty, Jacqueline K.
name: Murphy, Simon J.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We describe a method that exploits data from the GALEX ultraviolet and WISE and 2MASS infrared source catalogs, combined with proper motions and empirical pre-main sequence isochrones, to identify candidate nearby, young, low-mass stars. Applying our method across the full GALEX- covered sky, we identify 2031 mostly M-type stars that, for an assumed age of 10 (100) Myr, all lie within ~150 (~90) pc of Earth. The distribution of M spectral subclasses among these ~2000 candidate young stars peaks sharply in the range M3-M4; these subtypes constitute 50% of the sample, consistent with studies of the M star population in the immediate solar neighborhood. We focus on a subset of 58 of these candidate young M stars in the vicinity of the Tucana-Horologium Association. Only 20 of these 58 candidates were detected in the ROSAT All-Sky X-ray Survey -- reflecting the greater sensitivity of GALEX for purposes of identifying active nearby, young stars, particularly for stars of type M4 and later. Based on statistical analysis of the kinematics and/or spectroscopic followup of these 58 M stars, we find that 50% (29 stars) indeed have properties consistent with Tuc-Hor membership, while 12 are potential new members of the Columba Association, and two may be AB Dor moving group members. Hence, ~75% of our initial subsample of 58 candidates are likely members of young (age ~10-40 Myr) stellar moving groups within 100 pc, verifying that the stellar color- and kinematics-based selection algorithms described here can be used to efficiently isolate nearby, young, low-mass objects from among the field star population. Future studies will focus on characterizing additional subsamples selected from among this list of candidate nearby, young M stars.
description: 38 pages, 10 tables, 18 figures; ApJ, in press
The Challenges with Internet of Things for Business
Creators: name: Kuzminykh, Ievgeniia
name: Ghita, Bogdan
name: Such, Jose M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Many companies consider IoT as a central element for increasing competitiveness. Despite the growing number of cyberattacks on IoT devices and the importance of IoT security, no study has yet primarily focused on the impact of IoT security measures on the security challenges. This paper presents a review of the current state of security of IoT in companies that produce IoT products and have begun a transformation towards the digitalization of their products and the associated production processes. The analysis of challenges in IoT security was conducted based on the review of resources and reports on IoT security, while mapping the relevant solutions/measures for strengthening security to the existing challenges. This mapping assists stakeholders in understanding the IoT security initiatives regarding their business needs and issues. Based on the analysis, we conclude that almost all companies have an understanding of basic security measures as encryption, but do not understand threat surface and not aware of advanced methods of protecting data and devices. The analysis shows that most companies do not have internal experts in IoT security and prefer to outsource security operations to security providers.
description: 9 pages, 42 references
Von den "guten Werken" der Kirche oder: Wie sich die lutherische Kirche ihrer Diaspora annehmen sollte
Creators: name: Klapper, Gottfried
Publisher: name: Lutherische Kirche in der Welt
Year: 1970

description: Lutherische Kirche in der Welt, Bd. 18 (1971): Lutherische Kirche in der Welt, Band 18
Interoperable GPU Kernels as Latency Improver for MEC
Creators: name: Haavisto, Juuso
name: Riekki, Jukka
Publisher: name: arXiv
Year: 2020
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Mixed reality (MR) applications are expected to become common when 5G goes mainstream. However, the latency requirements are challenging to meet due to the resources required by video-based remoting of graphics, that is, decoding video codecs. We propose an approach towards tackling this challenge: a client-server implementation for transacting intermediate representation (IR) between a mobile UE and a MEC server instead of video codecs and this way avoiding video decoding. We demonstrate the ability to address latency bottlenecks on edge computing workloads that transact graphics. We select SPIR-V compatible GPU kernels as the intermediate representation. Our approach requires know-how in GPU architecture and GPU domain-specific languages (DSLs), but compared to video-based edge graphics, it decreases UE device delay by sevenfold. Further, we find that due to low cold-start times on both UEs and MEC servers, application migration can happen in milliseconds. We imply that graphics-based location-aware applications, such as MR, can benefit from this kind of approach.
A Compendium of Sphere Path Integrals
Creators: name: Law, Y. T. Albert
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the manifestly covariant and local 1-loop path integrals on $S^{d+1}$ for general massive, shift-symmetric and (partially) massless totally symmetric tensor fields of arbitrary spin $s\geq 0$ in any dimensions $d\geq 2$. After reviewing the cases of massless fields with spin $s=1,2$, we provide a detailed derivation for path integrals of massless fields of arbitrary integer spins $s\geq 1$. Following the standard procedure of Wick-rotating the negative conformal modes, we find a higher spin analog of Polchinski's phase for any integer spin $s\geq 2$. The derivations for low-spin ($s=0,1,2$) massive, shift-symmetric and partially massless fields are also carried out explicitly. Finally, we provide general prescriptions for general massive and shift-symmetric fields of arbitrary integer spins and partially massless fields of arbitrary integer spins and depths.
description: 54 pages; published version
Joint Impact of CSR Policy and Market Structure on Environmental Sustainability in Supply Chains
Creators: name: Hafez Alkotob, Ashkan
name: Asian, Sobhan
name: Reza-Gharehbagh, Raziyeh
name: Nersesian, Lia
Publisher: name: La Trobe
Year: 2023
Subjects: classificationCode: 49
subject: Mathematical sciences
classificationCode: 40
subject: Engineering
classificationCode: 46
subject: Information and computing sciences

description: Abstract: The integration of Corporate Social Responsibility (CSR) and Smart Manufacturing (SM) has emerged as a promising strategy for addressing carbon emissions. Governments can play a crucial role in promoting sustainable practices and environmental sustainability by implementing targeted policies and regulations. In this study, we examine the sustainability performance of competing smart supply chains that offer substitutable products under different CSR regulatory policies. Specifically, we investigate five CSR policies: Deregulation, Direct Tariff on Market, Sustainability Penalty and Credits, Direct Limitation on Sustainability, and Government Cooperative Sustainability Efforts. Using a game theoretical framework, we model and analyze the effectiveness of each CSR policy within monopoly and oligopoly market structures. Our results uncover the importance of considering the synergistic effects of market structure and CSR when designing sustainability strategies for policymakers and supply chain managers. For instance, the Direct Tariff on Market policy in the monopoly market is shown to be the preferred regulatory approach as it effectively enhances both supply chain profitability and environmental sustainability. Furthermore, the Direct Tariff on Market policy in the oligopoly market, along with the Direct Limitation on Sustainability policy in the monopoly market, results in a greater market share of sustainable products. Understanding these dynamics enables policymakers to make informed decisions that maximize the environmental benefits of CSR practices, considering varying market structures.
A reverse Schwarz--Pick inequality
Creators: name: Dyakonov, Konstantin M.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 30D50, 30D55, 46J15

description: We prove a kind of "reverse Schwarz--Pick lemma" for holomorphic self-maps of the disk. The result becomes especially clear-cut for inner functions and casts new light on their derivatives.
description: 8 pages; to appear in Comput. Methods Funct. Theory
Sub-Nyquist computational ghost imaging with orthonormalized colored noise pattern
Creators: name: Nie, Xiaoyu
name: Zhao, Xingchen
name: Peng, Tao
name: Scully, Marlan O.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Computational ghost imaging generally requires a large number of pattern illumination to obtain a high-quality image. The colored noise speckle pattern was recently proposed to substitute the white noise pattern in a variety of noisy environments and gave a significant signal-to-noise ratio enhancement even with a limited number of patterns. We propose and experimentally demonstrate here an orthonormalization approach based on the colored noise patterns to achieve sub-Nyquist computational ghost imaging. We tested the reconstructed image in quality indicators such as the contrast-to-noise ratio, the mean square error, the peak signal to noise ratio, and the correlation coefficient. The results suggest that our method can provide high-quality images while using a sampling ratio an order lower than the conventional methods.
description: 7 pages, 7 figures
Symmetry breaking for representations of rank one orthogonal groups
Creators: name: Kobayashi, Toshiyuki
name: Speh, Birgit
Publisher: name: arXiv
Year: 2013
Subjects: subject: Representation Theory (math.RT)
subject: Mathematical Physics (math-ph)
subject: Classical Analysis and ODEs (math.CA)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: Primary 22E46, Secondary 33C45, 53C35

description: We give a complete classification of intertwining operators (symmetry breaking operators) between spherical principal series representations of G=O(n+1,1) and G'=O(n,1). We construct three meromorphic families of the symmetry breaking operators, and find their distribution kernels and their residues at all poles explicitly.Symmetry breaking operators at exceptional discrete parameters are thoroughly studied. We obtain closed formulae for the functional equations which the composition of the the symmetry breaking operators with the Knapp-Stein intertwining operators of $G$ and G' satisfy, and use them to determine the symmetry breaking operators between irreducible composition factors of the spherical principal series representations of G and G'. Some applications are included.
description: 131 pages
Joint Impact of CSR Policy and Market Structure on Environmental Sustainability in Supply Chains
Creators: name: Hafezalkotob, Ashkan
name: Asian, Sobhan
name: Reza-Gharehbagh, Raziyeh
name: Nersesian, Lia
Publisher: name: La Trobe
Year: 2023
Subjects: classificationCode: 49
subject: Mathematical sciences
classificationCode: 40
subject: Engineering
classificationCode: 46
subject: Information and computing sciences

description: Abstract: The integration of Corporate Social Responsibility (CSR) and Smart Manufacturing (SM) has emerged as a promising strategy for addressing carbon emissions. Governments can play a crucial role in promoting sustainable practices and environmental sustainability by implementing targeted policies and regulations. In this study, we examine the sustainability performance of competing smart supply chains that offer substitutable products under different CSR regulatory policies. Specifically, we investigate five CSR policies: Deregulation, Direct Tariff on Market, Sustainability Penalty and Credits, Direct Limitation on Sustainability, and Government Cooperative Sustainability Efforts. Using a game theoretical framework, we model and analyze the effectiveness of each CSR policy within monopoly and oligopoly market structures. Our results uncover the importance of considering the synergistic effects of market structure and CSR when designing sustainability strategies for policymakers and supply chain managers. For instance, the Direct Tariff on Market policy in the monopoly market is shown to be the preferred regulatory approach as it effectively enhances both supply chain profitability and environmental sustainability. Furthermore, the Direct Tariff on Market policy in the oligopoly market, along with the Direct Limitation on Sustainability policy in the monopoly market, results in a greater market share of sustainable products. Understanding these dynamics enables policymakers to make informed decisions that maximize the environmental benefits of CSR practices, considering varying market structures.
Valley Carrier Dynamics in Monolayer Molybdenum Disulphide from Helicity Resolved Ultrafast Pump-probe Spectroscopy
Creators: name: Wang, Qinsheng
name: Ge, Shaofeng
name: Li, Xiao
name: Qiu, Jun
name: Ji, Yanxin
name: Feng, Ji
name: Sun, Dong
Publisher: name: arXiv
Year: 2013
Subjects: subject: Optics (physics.optics)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We investigate the valley related carrier dynamics in monolayer MoS2 using helicity resolved non-degenerate ultrafast pump-probe spectroscopy at the vicinity of the high-symmetry K point under the temperature down to 78 K. Monolayer MoS2 shows remarkable transient reflection signals, in stark contrast to bilayer and bulk MoS2 due to the enhancement of many-body effect at reduced dimensionality. The helicity resolved ultrafast time-resolved result shows that the valley polarization is preserved for only several ps before scattering process makes it undistinguishable. We suggest that the dynamical degradation of valley polarization is attributable primarily to the exciton trapping by defect states in the exfoliated MoS2 samples. Our experiment and a tight-binding model analysis also show that the perfect valley CD selectivity is fairly robust against disorder at the K point, but quickly decays from the high-symmetry point in the momentum space in the presence of disorder.
description: 15 pages,Accepted by ACS Nano
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks
Creators: name: Shen, Jingyi
name: Shen, Han-Wei
Publisher: name: The Eurographics Association
Year: 2021
Subjects: Human
centered computing → Visual analytics

description: Despite the great success of Convolutional Neural Networks (CNNs) in Computer Vision and Natural Language Processing, the working mechanism behind CNNs is still under extensive discussion and research. Driven by strong demand for the theoretical explanation of neural networks, some researchers utilize information theory to provide insight into the black-box model. However, to the best of our knowledge, employing information theory to quantitatively analyze and qualitatively visualize neural networks has not been extensively studied in the visualization community. In this paper, we combine information entropies and visualization techniques to shed light on how CNN works. Specifically, we first introduce a data model to organize the data that can be extracted from CNN models. Then we propose two ways to calculate entropy under different circumstances. To provide a fundamental understanding of the basic building blocks of CNNs (e.g., convolutional layers, pooling layers, normalization layers) from an information-theoretic perspective, we develop a visual analysis system, CNNSlicer. CNNSlicer allows users to interactively explore the amount of information changes inside the model. With case studies on the widely used benchmark datasets (MNIST and CIFAR-10), we demonstrate the effectiveness of our system in opening the black-box of CNNs.
description: Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
description: Visualization
description: 163
description: 173
description: Jingyi Shen and Han-Wei Shen
description: CCS Concepts: Human-centered computing → Visual analytics
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks
Creators: name: Shen, Jingyi
name: Shen, Han-Wei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Despite the great success of Convolutional Neural Networks (CNNs) in Computer Vision and Natural Language Processing, the working mechanism behind CNNs is still under extensive discussions and research. Driven by a strong demand for the theoretical explanation of neural networks, some researchers utilize information theory to provide insight into the black box model. However, to the best of our knowledge, employing information theory to quantitatively analyze and qualitatively visualize neural networks has not been extensively studied in the visualization community. In this paper, we combine information entropies and visualization techniques to shed light on how CNN works. Specifically, we first introduce a data model to organize the data that can be extracted from CNN models. Then we propose two ways to calculate entropy under different circumstances. To provide a fundamental understanding of the basic building blocks of CNNs (e.g., convolutional layers, pooling layers, normalization layers) from an information-theoretic perspective, we develop a visual analysis system, CNNSlicer. CNNSlicer allows users to interactively explore the amount of information changes inside the model. With case studies on the widely used benchmark datasets (MNIST and CIFAR-10), we demonstrate the effectiveness of our system in opening the blackbox of CNNs.
ViNG: Learning Open-World Navigation with Visual Goals
Creators: name: Shah, Dhruv
name: Eysenbach, Benjamin
name: Kahn, Gregory
name: Rhinehart, Nicholas
name: Levine, Sergey
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We propose a learning-based navigation system for reaching visually indicated goals and demonstrate this system on a real mobile robot platform. Learning provides an appealing alternative to conventional methods for robotic navigation: instead of reasoning about environments in terms of geometry and maps, learning can enable a robot to learn about navigational affordances, understand what types of obstacles are traversable (e.g., tall grass) or not (e.g., walls), and generalize over patterns in the environment. However, unlike conventional planning algorithms, it is harder to change the goal for a learned policy during deployment. We propose a method for learning to navigate towards a goal image of the desired destination. By combining a learned policy with a topological graph constructed out of previously observed data, our system can determine how to reach this visually indicated goal even in the presence of variable appearance and lighting. Three key insights, waypoint proposal, graph pruning and negative mining, enable our method to learn to navigate in real-world environments using only offline data, a setting where prior methods struggle. We instantiate our method on a real outdoor ground robot and show that our system, which we call ViNG, outperforms previously-proposed methods for goal-conditioned reinforcement learning, including other methods that incorporate reinforcement learning and search. We also study how \sysName generalizes to unseen environments and evaluate its ability to adapt to such an environment with growing experience. Finally, we demonstrate ViNG on a number of real-world applications, such as last-mile delivery and warehouse inspection. We encourage the reader to visit the project website for videos of our experiments and demonstrations sites.google.com/view/ving-robot.
description: Presented at International Conference on Robotics and Automation (ICRA) 2021
Diagnosing Concept Drift with Visual Analytics
Creators: name: Yang, Weikai
name: Li, Zhen
name: Liu, Mengchen
name: Lu, Yafeng
name: Cao, Kelei
name: Maciejewski, Ross
name: Liu, Shixia
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccurate. While a variety of automated methods have been developed to identify when concept drift occurs, there is limited support for analysts who need to understand and correct their models when drift is detected. In this paper, we present a visual analytics method, DriftVis, to support model builders and analysts in the identification and correction of concept drift in streaming data. DriftVis combines a distribution-based drift detection method with a streaming scatterplot to support the analysis of drift caused by the distribution changes of data streams and to explore the impact of these changes on the model's accuracy. A quantitative experiment and two case studies on weather prediction and text classification have been conducted to demonstrate our proposed tool and illustrate how visual analytics can be used to support the detection, examination, and correction of concept drift.
description: Accepted for IEEE Conference on Visual Analytics Science and Technology (VAST) 2020
Kapan Saat Yang Tepat Harga Bahan Bakar Minyak Turun.
Creators: name: Fitria, Dina Nurul
Publisher: name: figshare
Year: 2020
Subjects: subject: 150299 Banking, Finance and Investment not elsewhere classified
subject: FOS: Economics and business
subject: 150399 Business and Management not elsewhere classified
subject: 150501 Consumer-Oriented Product or Service Development
subject: 150303 Corporate Governance and Stakeholder Engagement
subject: 150201 Finance
subject: 150202 Financial Econometrics
subject: 150203 Financial Institutions (incl. Banking)
subject: 150306 Industrial Relations
subject: 150307 Innovation and Technology Management
subject: 150205 Investment and Risk Management
subject: 150309 Logistics and Supply Chain Management
subject: 150503 Marketing Management (incl. Strategy and Customer Relations)
subject: 150507 Pricing (incl. Consumer Value Estimation)
subject: 150313 Quality Management

description: oil price transmission caused by covid-19 pandemy which is impact to retail oil price, so the government of Indonesia should make price policy adjustment in reference to financial market.
Switching the Conductance of a Molecular Junction using a Proton Transfer Reaction
Creators: name: Hofmeister, C.
name: Härtle, R.
name: Rubio-Pons, O.
name: Coto, P. B.
name: Sobolewski, A. L.
name: Thoss, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A novel mechanism for switching a molecular junction based on a proton transfer reaction triggered by an external electrostatic field is proposed. As a specific example to demonstrate the feasibility of the mechanism, the tautomers [2,5-(4-hydroxypyridine)] and {2,5-[4(1H)-pyridone]} are considered. Employing a combination of first-principles electronic structure calculations and Landauer transport theory, we show that both tautomers exhibit very different conductance properties and realize the "on" and "off" states of a molecular switch. Moreover, we provide a proof of principle that both forms can be reversibly converted into each other using an external electrostatic field.
description: 14 pages, 5 figures
Schnapphansky: Keine neue Carricatur auf mich nach der gestrigen Katzenmusik? Händler: Nein Ew. Durchlacuht, wenn aber heute eine erscheint, bin ich überzeugt, dass Ew Durchlaucht reissend abgeht.; [1848]
Creators: name: Elliot, Ludwig von
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2018

description: Vorlageform der Veröffentlichungsangabe: Gedruckt bei C. Knatz in Frankfurt a/m.
Integrating computing in the statistics and data science curriculum: Creative structures, novel skills and habits, and ways to teach computational thinking
Creators: name: Horton, Nicholas J.
name: Hardin, Johanna S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Other Statistics (stat.OT)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences

description: Nolan and Temple Lang (2010) argued for the fundamental role of computing in the statistics curriculum. In the intervening decade the statistics education community has acknowledged that computational skills are as important to statistics and data science practice as mathematics. There remains a notable gap, however, between our intentions and our actions. In this special issue of the *Journal of Statistics and Data Science Education* we have assembled a collection of papers that (1) suggest creative structures to integrate computing, (2) describe novel data science skills and habits, and (3) propose ways to teach computational thinking. We believe that it is critical for the community to redouble our efforts to embrace sophisticated computing in the statistics and data science curriculum. We hope that these papers provide useful guidance for the community to move these efforts forward.
description: In press, Journal of Statistics and Data Science Education
Recommending Accurate and Diverse Items Using Bilateral Branch Network
Creators: name: Liang, Yile
name: Qian, Tieyun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Recommender systems have played a vital role in online platforms due to the ability of incorporating users' personal tastes. Beyond accuracy, diversity has been recognized as a key factor in recommendation to broaden user's horizons as well as to promote enterprises' sales. However, the trading-off between accuracy and diversity remains to be a big challenge, and the data and user biases have not been explored yet. In this paper, we develop an adaptive learning framework for accurate and diversified recommendation. We generalize recent proposed bi-lateral branch network in the computer vision community from image classification to item recommendation. Specifically, we encode domain level diversity by adaptively balancing accurate recommendation in the conventional branch and diversified recommendation in the adaptive branch of a bilateral branch network. We also capture user level diversity using a two-way adaptive metric learning backbone network in each branch. We conduct extensive experiments on three real-world datasets. Results demonstrate that our proposed approach consistently outperforms the state-of-the-art baselines.
description: 12 pages, 7 figures
A Wideband Polarization Study of Cygnus A with the JVLA. I: The Observations and Data
Creators: name: Sebokolodi, M. Lerato
name: Perley, Rick
name: Eilek, Jean
name: Carilli, Chris
name: Smirnov, Oleg
name: Laing, Robert
name: Greisen, Eric
name: Wise, Michael
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present results from deep, wideband, high spatial and spectral resolution observations of the nearby luminous radio galaxy Cygnus A with the Jansky Very Large Array. The high surface brightness of this source enables detailed polarimetric imaging, providing images at $0.75''$, spanning 2 - 18 GHz, and at 0.30$''$ (6 - 18 GHz). The fractional polarization from 2000 independent lines of sight across the lobes decreases strongly with decreasing frequency, with the eastern lobe depolarizing at higher frequencies than the western lobe. The depolarization shows considerable structure, varying from monotonic to strongly oscillatory. The fractional polarization in general increases with increasing resolution at a given frequency, as expected. However, there are numerous lines of sight with more complicated behavior. We have fitted the $0.3''$ images with a simple model incorporating random, unresolved fluctuations in the cluster magnetic field to determine the high resolution, high-frequency properties of the source and the cluster. From these derived properties, we generate predicted polarization images of the source at lower frequencies, convolved to 0.75$\arcsec$. These predictions are remarkably consistent with the observed emission. The observations are consistent with the lower-frequency depolarization being due to unresolved fluctuations on scales $\gtrsim$ 300 - 700 pc in the magnetic field and/or electron density superposed on a partially ordered field component. There is no indication in our data of the location of the depolarizing screen or the large-scale field, either, or both of which could be located throughout the cluster, or in a boundary region between the lobes and the cluster.
description: 24 pages, 13 figures. The manuscript has been accepted for publication in The Astrophysical Journal
ALTERNATIVA Project: Training Plan
Creators: name: Assunção, Ricardo
Publisher: name: Zenodo
Year: 2024

description: This document summarizes the organization of the training sessions developed under the project Assunção, R. (2024). ALTERNATIVA Project: Training Plan. Zenodo. https://doi.org/10.5281/zenodo.13799733Alternative protein sources in the European diets – integrating health risk-benefit and sustainability.
Role of Te in the low dimensional multiferroic material FeTe2O5Br
Creators: name: Chakraborty, Jayita
name: Ganguli, Nirmal
name: Saha-Dasgupta, Tanusri
name: Dasgupta, Indra
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Using first principles density functional calculations, we study the electronic structure of the low-dimensional multiferroic compound FeTe2O5Br to investigate the origin of the magnetoelectric (ME) effect and the role of Te ions in this system. We find that without magnetism even in the presence of Te-5s lone pairs, the system remains centrosymmetric due to the antipolar orientation of the lone pairs. Our study shows that the exchange striction within the Fe tetramers as well as between them is responsible for the ME effect in FeTe2O5Br. We also find that the Te^4+ ions play an important role in the inter-tetramer exchange striction as well as contribute to the electric polarization in FeTe2O5Br, once the polarization is triggered by the magnetic ordering.
description: 8 pages, 8 figures, Journal version: http://link.aps.org/doi/10.1103/PhysRevB.88.094409
The Next Decade of Telecommunications Artificial Intelligence
Creators: name: Ouyang, Ye
name: Wang, Lilei
name: Yang, Aidong
name: Shah, Maulik
name: Belanger, David
name: Gao, Tongqing
name: Wei, Leping
name: Zhang, Yaqin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: It has been an exciting journey since the mobile communications and artificial intelligence were conceived 37 years and 64 years ago. While both fields evolved independently and profoundly changed communications and computing industries, the rapid convergence of 5G and deep learning is beginning to significantly transform the core communication infrastructure, network management and vertical applications. The paper first outlines the individual roadmaps of mobile communications and artificial intelligence in the early stage, with a concentration to review the era from 3G to 5G when AI and mobile communications started to converge. With regard to telecommunications artificial intelligence, the paper further introduces in detail the progress of artificial intelligence in the ecosystem of mobile communications. The paper then summarizes the classifications of AI in telecom ecosystems along with its evolution paths specified by various international telecommunications standardization bodies. Towards the next decade, the paper forecasts the prospective roadmap of telecommunications artificial intelligence. In line with 3GPP and ITU-R timeline of 5G & 6G, the paper further explores the network intelligence following 3GPP and ORAN routes respectively, experience and intention driven network management and operation, network AI signalling system, intelligent middle-office based BSS, intelligent customer experience management and policy control driven by BSS and OSS convergence, evolution from SLA to ELA, and intelligent private network for verticals. The paper is concluded with the vision that AI will reshape the future B5G or 6G landscape and we need pivot our R&D, standardizations, and ecosystem to fully take the unprecedented opportunities.
description: 50 pages in English 24 figures. (Note version 5 is 19 pages, in Chinese, with 24 figures)
Self Sparse Generative Adversarial Networks
Creators: name: Qian, Wenliang
name: Xu, Yang
name: Zuo, Wangmeng
name: Li, Hui
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Generative Adversarial Networks (GANs) are an unsupervised generative model that learns data distribution through adversarial training. However, recent experiments indicated that GANs are difficult to train due to the requirement of optimization in the high dimensional parameter space and the zero gradient problem. In this work, we propose a Self Sparse Generative Adversarial Network (Self-Sparse GAN) that reduces the parameter space and alleviates the zero gradient problem. In the Self-Sparse GAN, we design a Self-Adaptive Sparse Transform Module (SASTM) comprising the sparsity decomposition and feature-map recombination, which can be applied on multi-channel feature maps to obtain sparse feature maps. The key idea of Self-Sparse GAN is to add the SASTM following every deconvolution layer in the generator, which can adaptively reduce the parameter space by utilizing the sparsity in multi-channel feature maps. We theoretically prove that the SASTM can not only reduce the search space of the convolution kernel weight of the generator but also alleviate the zero gradient problem by maintaining meaningful features in the Batch Normalization layer and driving the weight of deconvolution layers away from being negative. The experimental results show that our method achieves the best FID scores for image generation compared with WGAN-GP on MNIST, Fashion-MNIST, CIFAR-10, STL-10, mini-ImageNet, CELEBA-HQ, and LSUN bedrooms, and the relative decrease of FID is 4.76% ~ 21.84%.
Low dimensional pinned distance sets via spherical averages
Creators: name: Harris, Terence L. J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 42B10, 28A78

description: An inequality is derived for the average $t$-energy of pinned distance measures, where $0 < t < 1$. This refines Mattila's theorem on distance sets to pinned distance sets, and gives an analogue of Liu's theorem for pinned distance sets of dimension smaller than 1.
description: 5 pages. Accepted version