cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
National Election Pool Poll # 2004-STELEC-SD: South Dakota Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2005

description: For whom did respondent just vote in presidential election (1); when decided who to vote for (1); vote was mainly for candidate/against his opponent (1); for whom did respondent vote in today¿s election for U.S. senator (1); South Dakota economy (1); for whom did respondent vote in today¿s election for U.S. House of Representatives (1); George W. Bush job performance (1); which one issue mattered most in deciding vote for president (1); which one candidate quality mattered most in deciding vote for president (1); country is safer/less safe from terrorism compared to four years ago (1); Tom Daschle/John Thune/both/neither would make sure South Dakota gets its fair share of federal funds (1); war with Iraq (2); would trust John Kerry/George W. Bush/both/neither to handle economy (1); personal finances(1); Bush administration policies on drought relief (1); would trust John Kerry/George W. Bush/both/neither to handle terrorism (1); ever voted before (1).
National Election Pool Poll # 2004-STELEC-TN: Tennessee Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2005

description: For whom did respondent just vote in presidential election (1); when decided who to vote for (1); vote was mainly for candidate/against his opponent (1); George W. Bush job performance (1); which one issue mattered most in deciding vote for president (1); which one candidate quality mattered most in deciding vote for president (1); country is safer/less safe from terrorism compared to four years ago (1); personal finances (1); war with Iraq (1); ever served in U.S. military (1); would trust John Kerry/George W. Bush/both/neither to handle terrorism (1).
National Election Pool Poll # 2006-STELEC-UT: Utah Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2007

description: For whom did respondent just vote in the Senatorial election (1); George W. Bush job performance (1); Congress job performance (1); war in Iraq (1).
Caption Generation on Scenes with Seen and Unseen Object Categories
Creators: name: Demirel, Berkan
name: Cinbis, Ramazan Gokberk
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Image caption generation is one of the most challenging problems at the intersection of vision and language domains. In this work, we propose a realistic captioning task where the input scenes may incorporate visual objects with no corresponding visual or textual training examples. For this problem, we propose a detection-driven approach that consists of a single-stage generalized zero-shot detection model to recognize and localize instances of both seen and unseen classes, and a template-based captioning model that transforms detections into sentences. To improve the generalized zero-shot detection model, which provides essential information for captioning, we define effective class representations in terms of class-to-class semantic similarities, and leverage their special structure to construct an effective unseen/seen class confidence score calibration mechanism. We also propose a novel evaluation metric that provides additional insights for the captioning outputs by separately measuring the visual and non-visual contents of generated sentences. Our experiments highlight the importance of studying captioning in the proposed zero-shot setting, and verify the effectiveness of the proposed detection-driven zero-shot captioning approach.
description: Accepted for Publication at Image and Vision Computing (IMAVIS)
Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Creators: name: Zhang, Shao-Qun
name: Gao, Wei
name: Zhou, Zhi-Hua
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Complex-valued neural networks have attracted increasing attention in recent years, while it remains open on the advantages of complex-valued neural networks in comparison with real-valued networks. This work takes one step on this direction by introducing the \emph{complex-reaction network} with fully-connected feed-forward architecture. We prove the universal approximation property for complex-reaction networks, and show that a class of radial functions can be approximated by a complex-reaction network using the polynomial number of parameters, whereas real-valued networks need at least exponential parameters to reach the same approximation level. For empirical risk minimization, our theoretical result shows that the critical point set of complex-reaction networks is a proper subset of that of real-valued networks, which may show some insights on finding the optimal solutions more easily for complex-reaction networks.
National Election Pool Poll # 2008-STELEC-AL: Alabama Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2018

description: For whom did respondent vote in presidential election (1); when decided who to vote for (1); for whom did respondent vote in U.S. Senate election (1); direction of economy (1); describing self as born-again (1); most important issues facing country (1); George W. Bush job performance (1).
National Election Pool Poll # 2008-STELEC-AR: Arkansas Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2010

description: For whom did respondent vote in presidential election (1); when decided who to vote for (1); which one candidate quality mattered most in deciding vote for president (1); vote on Initiative 1, to prohibit gay couples from adopting children (1); for whom did respondent vote in U.S. Senate election (1); direction of economy (1); describing self as born-again (1); most important issues facing country (1); George W. Bush job performance (1): candidate race influencing presidential vote (1); candidate respondent wanted to win Democratic nomination (1); U.S. war in Iraq (1).
NBC News/Associated Press Poll: New York State Democratic Primary Election Day Exit Poll
Creators: name: Associated Press
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 1986

description: When and why decision was made as to vote in Democratic gubernatorial primary; Reagan's economic program; Hugh Carey's re-election as Governor; Reagan's job performance; Daniel Moynihan's job performance; D'Amato's job performance; Mayor Koch's job performance; religious upbringing; Reagan's deserving credit for lowering inflation rate; prediction for state of the economy and family finances in the next year; priorities for dealing with various New York State problems; Ed Koch as Governor in terms of favoring New York City; Reagan's blame for economic recession; political ideology.
Hart-Teeter/NBC News/Wall Street Journal Poll # 6028: 2002 Congressional Elections/Economic Conditions/Iraq
Creators: name: NBC News
name: Wall Street Journal
Publisher: name: Roper Center for Public Opinion Research
Year: 2002

description: Registered to vote in your precinct (1); Nation's direction (1); George W. Bush's job approval (3); Democrats versus George W. Bush (1); Congress job approval (1); Rating of political figures (1); Interest in Congress Elections (1); Vote in November election (3); In upcoming election vote for Democrat or Republican (1); Reason's for vote (1); Meaning in your vote for Congress (1); View on Republican vs. Democrat (1); Party in control of house (2); Top Priority Issues (1); Issues in vote for Congress (2)l Congressional views affect your view on President George W. Bush (2); George W. Bush issue handling (1); Party (2); Presidential election in 2004 (1); Al Gore running (1); Party that better deals with issues (1); Economic state (1); Financial situation (1); Nation's economy 92); Losing job (2); Delayed retirement (1); Stock Market (1); Family situation (1); Cause of Recession (1); Issue to economic growth (1); Government economic policies (2); George W. Bush's attention to the Economy (2); Confidence in George W. Bush's economic team (1); Tax-cut significance (1); Statement agreement (3); Stock market value (3); Point of view statement (1); Terrorist attacks likely (2); Capture Osama Bin Laden (1); Military action against Saddam Hussein threat (1); North Korea threat (1); Removing Saddam Hussein (1); War against Iraq statement (4); United States attacking possible terrorist threats (1); United States help those who can help assassinate Saddam Hussein (1); U.S. doing what it can through diplomatic efforts (1); Attack Iraq with support or no support from United Nations (1); Favor or oppose war to remove Saddam Hussein (1); Enough discussion about Iraq (1); War on Iraq a distraction on terrorism (1); Our responsibility to form a new government if Saddam Hussein is removed (2); Snipe attacks (2); Vatican Policy (1); currently employed (1); Vote in 2000 election (1); Attendence at Church (1); Labor Union (1).
Partial differential equations on hypergraphs and networks of surfaces: derivation and hybrid discretizations
Creators: name: Rupp, Andreas
name: Gahn, Markus
name: Kanschat, Guido
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 65M60, 65N30, 68N30, 53Z99, 57N99

description: We introduce a general, analytical framework to express and to approximate partial differential equations (PDEs) numerically on graphs and networks of surfaces---generalized by the term hypergraphs. To this end, we consider PDEs on hypergraphs as singular limits of PDEs in networks of thin domains (such as fault planes, pipes, etc.), and we observe that (mixed) hybrid formulations offer useful tools to formulate such PDEs. Thus, our numerical framework is based on hybrid finite element methods (in particular, the class of hybrid discontinuous Galerkin methods).
Prochiloneurus indicus Shafee, Alam & Agarwal 1975
Creators: name: Fallahzadeh, Majid
name: Japoshvili, George
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Encyrtidae
Prochiloneurus
Prochiloneurus indicus

description: 138. Prochiloneurus indicus Shafee, Alam & Agarwal, 1975
Host associations in Iran. Hyperparasitoid Nipaecoccus viridis on Citrus and Morus alba (Asadeh & Mossadegh 1991).
Distribution in Iran. Khuzestan (Asadeh & Mossadegh 1991). General distribution. Oriental region (India) and Iran.
description: Published as part of Fallahzadeh, Majid & Japoshvili, George, 2017, An updated checklist of Iranian Encyrtidae (Hymenoptera, Chalcidoidea), pp. 1-46 in Zootaxa 4344 (1) on page 26, DOI: 10.11646/zootaxa.4344.1.1, http://zenodo.org/record/1042219
Primitive Quantum Gates for Dihedral Gauge Theories
Creators: name: Alam, M. Sohaib
name: Hadfield, Stuart
name: Lamm, Henry
name: Li, Andy C. Y.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We describe the simulation of dihedral gauge theories on digital quantum computers. The nonabelian discrete gauge group $D_N$ -- the dihedral group -- serves as an approximation to $U(1)\times\mathbb{Z}_2$ lattice gauge theory. In order to carry out such a lattice simulation, we detail the construction of efficient quantum circuits to realize basic primitives including the nonabelian Fourier transform over $D_N$, the trace operation, and the group multiplication and inversion operations. For each case the required quantum resources scale linearly or as low-degree polynomials in $n=\log N$. We experimentally benchmark our gates on the Rigetti Aspen-9 quantum processor for the case of $D_4$. The fidelity of all $D_4$ gates was found to exceed $80\%$.
description: Published version
Approximation Properties of Deep ReLU CNNs
Creators: name: He, Juncai
name: Li, Lin
name: Xu, Jinchao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: 41A30, 68T07, 65D40

description: This paper focuses on establishing $L^2$ approximation properties for deep ReLU convolutional neural networks (CNNs) in two-dimensional space. The analysis is based on a decomposition theorem for convolutional kernels with a large spatial size and multi-channels. Given the decomposition result, the property of the ReLU activation function, and a specific structure for channels, a universal approximation theorem of deep ReLU CNNs with classic structure is obtained by showing its connection with one-hidden-layer ReLU neural networks (NNs). Furthermore, approximation properties are obtained for one version of neural networks with ResNet, pre-act ResNet, and MgNet architecture based on connections between these networks.
description: 30 pages
Prochiloneurus pulchellus Silvestri 1915
Creators: name: Fallahzadeh, Majid
name: Japoshvili, George
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Encyrtidae
Prochiloneurus
Prochiloneurus pulchellus

description: 139. Prochiloneurus pulchellus Silvestri, 1915
Host associations in Iran. Pseudococcus sp. on Tamarix (Japoshvili & Noyes 2005). Distribution in Iran. Khuzestan (Japoshvili & Noyes 2005).
General distribution. Afrotropical, Oriental and Palaearctic regions.
description: Published as part of Fallahzadeh, Majid & Japoshvili, George, 2017, An updated checklist of Iranian Encyrtidae (Hymenoptera, Chalcidoidea), pp. 1-46 in Zootaxa 4344 (1) on page 26, DOI: 10.11646/zootaxa.4344.1.1, http://zenodo.org/record/1042219
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
Creators: name: Flam-Shepherd, Daniel
name: Wu, Tony
name: Gu, Xuemei
name: Cervera-Lierta, Alba
name: Krenn, Mario
name: Aspuru-Guzik, Alan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Quantum physics experiments produce interesting phenomena such as interference or entanglement, which are core properties of numerous future quantum technologies. The complex relationship between the setup structure of a quantum experiment and its entanglement properties is essential to fundamental research in quantum optics but is difficult to intuitively understand. We present a deep generative model of quantum optics experiments where a variational autoencoder is trained on a dataset of quantum optics experimental setups. In a series of computational experiments, we investigate the learned representation of our Quantum Optics Variational Auto Encoder (QOVAE) and its internal understanding of the quantum optics world. We demonstrate that the QOVAE learns an interpretable representation of quantum optics experiments and the relationship between experiment structure and entanglement. We show the QOVAE is able to generate novel experiments for highly entangled quantum states with specific distributions that match its training data. The QOVAE can learn to generate specific entangled states and efficiently search the space of experiments that produce highly entangled quantum states. Importantly, we are able to interpret how the QOVAE structures its latent space, finding curious patterns that we can explain in terms of quantum physics. The results demonstrate how we can use and understand the internal representations of deep generative models in a complex scientific domain. The QOVAE and the insights from our investigations can be immediately applied to other physical systems.
description: Published in Nature Machine Intelligence https://doi.org/10.1038/s42256-022-00493-5
Cruise Report for “Patterns in Deep-Sea Corals” Expedition: NOAA ship Bell M. Shimada SH-15-03
Creators: name: Caldow, Chris
name: Etnoyer, Peter J.
name: Kracker, Laura
Publisher: name: National Ocean Service (U.S.)
Year: 2015

description: NOAA Technical Memorandum NOS NCCOS ; 200
National Election Pool Poll: 2016 Maryland Democratic Primary Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC
Publisher: name: Roper Center for Public Opinion Research
Year: 2018

description: Candidate that would have better chance to defeat Donald Trump in November (1); candidate that would do better job handling gun policy (1); candidate that inspires you more about the future of country (1); most important issues facing country (1); Democratic presidential primary vote (1); Democratic US Senate primary vote (1); desired qualities and characteristics for next president (2); party identification (1); political ideology (1); candidate qualities that matter most (1); race relations in country (1); when did you decide presidential primary vote (1); preferred 2016 Democratic nominee (2); whether Wall Street helps/hurts the economy (1).
A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk
Creators: name: Elokda, Ezzat
name: Bolognani, Saverio
name: Hota, Ashish R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Computer Science and Game Theory (cs.GT)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In this paper, we show how a dynamic population game can model the strategic interaction and migration decisions made by a large population of agents in response to epidemic prevalence. Specifically, we consider a modified susceptible-asymptomatic-infected-recovered (SAIR) epidemic model over multiple zones. Agents choose whether to activate (i.e., interact with others), how many other agents to interact with, and which zone to move to in a time-scale which is comparable with the epidemic evolution. We define and analyze the notion of equilibrium in this game, and investigate the transient behavior of the epidemic spread in a range of numerical case studies, providing insights on the effects of the agents' degree of future awareness, strategic migration decisions, as well as different levels of lockdown and other interventions. One of our key findings is that the strategic behavior of agents plays an important role in the progression of the epidemic and can be exploited in order to design suitable epidemic control measures.
National Election Pool Poll: 2016 Nevada Republican Primary Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC
Publisher: name: Roper Center for Public Opinion Research
Year: 2018

description: The importance of the Supreme Court vacancy (1); feelings about the way the federal government is working (1); most important issues facing country (1); candidate that you came to support (1); desired qualities and characteristics for next president (2); party identification (1); political ideology (1); candidate qualities that matter most (1); when did you decide whom to support in today's caucus (1); Republican presidential primary vote (1).
Complete physical characterization of QND measurements via tomography
Creators: name: Pereira, L.
name: García-Ripoll, J. J.
name: Ramos, T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We introduce a self-consistent tomography for arbitrary quantum non-demolition (QND) detectors. Based on this, we build a complete physical characterization of the detector, including the measurement processes and a quantification of the fidelity, ideality, and back-action of the measurement. This framework is a diagnostic tool for the dynamics of QND detectors, allowing us to identify errors, and to improve their calibration and design. We illustrate this on a realistic Jaynes-Cummings simulation of superconducting qubit readout. We characterize non-dispersive errors, quantify the back-action introduced by the readout cavity, and calibrate the optimal measurement point.
Romer & Associates Poll # 1994-TOP024: Survey 24, August/September 1994
Creators: name: Estudio Graciela C. Romer Y Asociados
Publisher: name: Roper Center for Public Opinion Research
Year: 1997

description: Government job performance(1); president Carlos Menem job performance(8); members of the government job performance(9); economic situation(8); main national problems(5); economic plan(3); government job performance on several issues(14); likely winner in presidential elections(3); labor struggles(2); voting intentions(15); political party likely winner(3); vote in past elections(1); likelihood of a coup attempt(1); importance of national institutions(14); party ID(1); political ideology(1); ideal characteristics for a president(6); presidential candidates(5); main national goals(2); abortion(2); death penalty(2); referendum on privatization of retirement system(2); evaluation of political leaders(24); trusted journalists(3); party ID(2); creation of a security secretariat(2); terrorist act against Jewish community(11); international intelligence agents(1); changes in the cabinet(3); religion(1).
Fractionalization on the Surface: Is Type-II Terminated $1T$-TaS$_2$ Surface an Anomalously Realized Spin Liquid?
Creators: name: Li, Chao-Kai
name: Yao, Xu-Ping
name: Liu, Jianpeng
name: Chen, Gang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The type-II terminated $1T$-TaS$_2$ surface of a three-dimensional $1T$-TaS$_2$ bulk material realizes the effective spin-$1/2$ degree of freedom on each David star cluster with ${\mathcal{T}^2=-1}$ such that the time-reversal symmetry is realized anomalously, despite the fact that bulk three-dimensional $1T$-TaS$_2$ material has an even number of electrons per unit cell with ${\mathcal{T}^2=+1}$. This surface is effectively viewed as a spin-$1/2$ triangular lattice magnet, except with a fully gapped topological bulk. We further propose this surface termination realizes a spinon Fermi surface spin liquid with the surface fractionalization but with a nonexotic three-dimensional bulk. We analyze possible experimental consequences, especially the surface spectroscopic measurements, of the type-II terminated surface spin liquid.
description: Main text: 7 pages + 4 figures; Supplemental Material: 14 pages + 7 figures, including calculation details and more discussions
Graph Neural Networks for Graph Drawing
Creators: name: Tiezzi, Matteo
name: Ciravegna, Gabriele
name: Gori, Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Graph Drawing techniques have been developed in the last few years with the purpose of producing aesthetically pleasing node-link layouts. Recently, the employment of differentiable loss functions has paved the road to the massive usage of Gradient Descent and related optimization algorithms. In this paper, we propose a novel framework for the development of Graph Neural Drawers (GND), machines that rely on neural computation for constructing efficient and complex maps. GNDs are Graph Neural Networks (GNNs) whose learning process can be driven by any provided loss function, such as the ones commonly employed in Graph Drawing. Moreover, we prove that this mechanism can be guided by loss functions computed by means of Feedforward Neural Networks, on the basis of supervision hints that express beauty properties, like the minimization of crossing edges. In this context, we show that GNNs can nicely be enriched by positional features to deal also with unlabelled vertexes. We provide a proof-of-concept by constructing a loss function for the edge-crossing and provide quantitative and qualitative comparisons among different GNN models working under the proposed framework.
description: Accepted for publication in IEEE Transaction of Neural Networks and Learning Systems (TNNLS) 2022, Special Issue on Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications
Romer & Associates Survey # 1994-TOP025: Politics/Economy
Creators: name: Estudio Graciela C. Romer Y Asociados
Publisher: name: Roper Center for Public Opinion Research
Year: 2006

description: Government job performance (1); president Carlos Menem job performance (2); members of the government job performance (9); economic situation (6); main national problems (4); government job performance on several issues (14); main national goals (3); poverty (1); vote in past elections (2); voting intentions (22); themes for electoral campaign (3); evaluation of political leaders (21); social and economic plan (9); positioning of voters (5); likelihood of a coup attempt (1); best presidential candidates for solving national problems (40); trust in candidates (21); evaluation of political parties (6); party ID (2); political ideology (1); likely winner in presidential elections (1); religion (1); trusted journalists (3); Capital Federal elections (51).
Romer & Associates Poll # 1995-TOP033: Politics/Economy
Creators: name: Estudio Graciela C. Romer Y Asociados
Publisher: name: Roper Center for Public Opinion Research
Year: 2007

description: President Carlos Menem job performance (9); members of the government job performance (10); main national problems (4); government job performance on several issues (10); economic situation (6); economic plan (17); vote in past elections (2); voting intentions (5); political alliance between FREPASO and the Radical Party (1); election of Rodolfo Terragno to the UCR presidency (1); presidential special powers (1); main national goals (3); best presidential candidates for solving national problems (4); ideal characteristics for presidential candidates (2); political solutions in a national crisis situation (1); democracy (8); confidence in institutions (10); economic stability (4); evaluation of political parties (6); evaluation of political leaders (20); personal satisfaction (7); perspectives for the future (2); desire to leave the country (2); vacations (4); violence and soccer (3).
Anomalous elasticity of cellular tissue vertex model
Creators: name: Hernandez, Arthur
name: Staddon, Michael F.
name: Bowick, Mark J.
name: Marchetti, M. Cristina
name: Moshe, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Vertex Models, as used to describe cellular tissue, have an energy controlled by deviations of each cell area and perimeter from target values. The constrained nonlinear relation between area and perimeter leads to new mechanical response. Here we provide a mean-field treatment of a highly simplified model: a uniform network of regular polygons with no topological rearrangements. Since all polygons deform in the same way, we only need to analyze the ground states and the response to deformations of a single polygon (cell). The model exhibits the known transition between a fluid/compatible state, where the cell can accommodate both target area and perimeter, and a rigid/incompatible state. %The rigid solid-like state has a single gapped ground state. We calculate and measure the mechanical resistance to various deformation protocols and discover that at the onset of rigidity, where a single zero-energy ground-state exists, %We show that in the incompatible state, where a single frustrated ground-state exists, linear elasticity fails to describe the mechanical response to even infinitesimal deformations. In particular we identify a breakdown of reciprocity expressed via different moduli for compressive and tensile loads, implying non-analyticity of the energy functional. We give a pictorial representation in configuration space that reveals that the complex elastic response of the Vertex Model arises from the presence of two distinct sets of reference states (associated with target area and target perimeter).
AARP Poll # 2004-MIDLIFE: 2004 Boomers at Midlife Survey
Creators: name: American Association Of Retired Persons (AARP)
Publisher: name: Roper Center for Public Opinion Research
Year: 2006

description: Satisfaction with country (1); life satisfaction (13); future outlook (11); opinion on certain statements (6); thinking about certain issues (7); financial situation (5); personal relationships (4); experienced changes (17); spiritual/religious life (4); physical health (8); mental health (4); perceived age (1); work and career (4); projected age at retirement (1); life expectancy (2); leisure activities (4); desired age (1); control over certain situations (7); roadblocks to achievement (1); membership in AARP or NRTA (1).
ABC News/The Washington Post Poll: Omnibus-September,1990
Creators: name: ABC News
name: Washington Post
Publisher: name: Roper Center for Public Opinion Research
Year: 1992

description: Bush job performance(8); Bush handling of Iraq's invasion of Kuwait (4); Iraq's invasion of Kuwait(17); national and world economy(4); child rearing(2); state and local government(6); 1990 House of Representatives campaign(7).
Bayesian propensity score matching in automotive embedded software engineering
Creators: name: Liu, Yuchu
name: Mattos, David Issa
name: Bosch, Jan
name: Olsson, Helena Holmström
name: Lantz, Jonn
Publisher: name: arXiv
Year: 2021
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating the value that new software brings to customers. However, running randomised field experiments is not always desired, possible or even ethical in the development of automotive embedded software. In the face of such restrictions, we propose the use of the Bayesian propensity score matching technique for causal inference of observational studies in the automotive domain. In this paper, we present a method based on the Bayesian propensity score matching framework, applied in the unique setting of automotive software engineering. This method is used to generate balanced control and treatment groups from an observational online evaluation and estimate causal treatment effects from the software changes, even with limited samples in the treatment group. We exemplify the method with a proof-of-concept in the automotive domain. In the example, we have a larger control ($N_c=1100$) fleet of cars using the current software and a small treatment fleet ($N_t=38$), in which we introduce a new software variant. We demonstrate a scenario that shipping of a new software to all users is restricted, as a result, a fully randomised experiment could not be conducted. Therefore, we utilised the Bayesian propensity score matching method with 14 observed covariates as inputs. The results show more balanced groups, suitable for estimating causal treatment effects from the collected observational data. We describe the method in detail and share our configuration. Furthermore, we discuss how can such a method be used for online evaluation of new software utilising small groups of samples.
description: To appear at the 28th Asia-Pacific Software Engineering Conference (APSEC 2021)
title: Ausgeraucht
Creators: name: Aigner, David
Year: 2020

description: Diese Masterarbeit beschäftigt sich mit der Geschichte der Zigarettenwerbung am Beispiel von visuellem Werbematerial (im Besonderen Werbeplakate) des österreichischen Tabakkonzerns Austria Tabak. Das zentrale Anliegen ist dabei das Identifizieren von werblichen Strategien, Stereotypen und Rollenbildern und deren Entwicklung im Zeitraum von 1900 bis zum Tabakwerbeverbot im Jahr 2007. Es wird untersucht, ob und wie sich das Wissen um gesundheitliche Risiken des Rauchens auf die Produktentwicklung und die Bewerbung von Zigaretten des bis zur Vollprivatisierung 2001 in öffentlicher Hand befindlichen Tabak-konzerns auswirkt hat. Die Arbeit analysiert die Bildinhalte vor dem Hintergrund der sich ändernden rechtlichen Rahmenbedingungen (v.a. hinsichtlich Werbeeinschränkungen) und der allgemeinen sozio-ökonomischen Entwicklung. Methodisch auf Bildanalyse gestützt, leistet die Arbeit nicht nur einen Beitrag zur Geschichte der österreichischen Zigarettenwerbung und zur Marketinggeschichte der Austria Tabak, sondern auch zu einer stärker auf Bildmaterial gestützten historischen Forschung.
description: This master's thesis addresses the history of cigarette advertising using the example of visual advertising material (in particular advertising posters) of the Austrian tobacco company Austria Tabak. The central objective is the identification of advertising strategies, stereotypes and gender roles and their development in the period from 1900 to the tobacco advertising-ban in 2007. It is examined whether and how the knowledge of the health risks of smoking has affected the product development and the advertising of cigarettes of the tobacco company, which was in public ownership until its full privatization in 2001. The work analyses the image content against the background of the changing legal framework (especially advertising restrictions) and general socio-economic developments. Methodologically based on image analysis, the work not only contributes to advertising history of tobacco and the marketing history of Austria Tabak, but also to historical research that is more strongly based on image material.
Spicules and their on-disk counterparts - the main driver for solar chromospheric heating?
Creators: name: Puschmann, Klaus Gerhard
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Astronomy

description: The question how the outer solar atmosphere is heated from solar photospheric
temperatures of about 5800K up to solar chromospheric and coronal temperatures of about
20.000K and millions of degrees respectively, remained without any satisfying answer for
centuries. On 4 May 2005, I recorded several time series of Hα line scans with the GREGOR
Fabry-Pérot Interferometer, still deployed at the German Vacuum Tower Telescope (VTT), for
different solar limb and on-disk positions as well as for quiet sun at solar disk center. The
spatially and temporally highly resolved time series of Hα line parameters reveal the entire
and detailed complexity as well as the overwhelming dynamics of spicules covering the entire
solar disk, thus apparently confirming spicules as the potential driver of chromospheric
heating for both the Sun and sun-like stars, with an expected mass flux more than 100 times
that of the solar wind.
title: Chancen und Grenzen alternativer Leistungsfeststellung und -bewertung im kompetenzorientierten GW-Unterricht
Creators: name: Damms, Oliver
Year: 2020

description: Ausgehend von der in der Einleitung formulierten Arbeitshypothese, hat sich der Verfasser dieser Diplomarbeit zum Ziel gesetzt, die Chancen, aber auch die Grenzen der alternativen Leistungsfeststellung und -bewertung für den kompetenzorientierten Unterricht zu untersu-chen, darzustellen und festzuhalten. Die Arbeit gliedert sich dabei in vier Abschnitte. Im ersten Teil wird der mitunter strittige Begriff des kompetenzorientierten Unterrichts erläutert sowie dessen wesentliche Merkmale und Zielsetzungen für den Unterricht ausgearbeitet und erklärt. Die damit verbundenen Zu-sammenhänge mit den Bildungsstandards, dem Kompetenzmodell (BMBF 2012) und den Basiskonzepten für das Unterrichtsfach GW sollen einen Einblick vermitteln und das Ver-ständnis für die Komplexität der Thematik entwickeln. Der folgende Abschnitt setzt sich intensiv mit dem Thema Leistungsfeststellung und -beurteilung auseinander. Dabei werden zunächst die Begriffsbestimmungen und gesetzli-chen Zusammenhänge geklärt. Neben einem Vergleich der formativen und summativen Leistungsbeurteilung fokussiert dieser Teil der Arbeit vor allem auf die praktische Anwendung und Umsetzung von Formen und Methoden der Leistungsfeststellung und -beurteilung sowie deren Bedeutung für den Unterricht. Im dritten Abschnitt werden anhand einer empirischen Untersuchung die tatsächliche Um-setzung der Leistungsbewertung im GW-Unterricht und die damit verbundene Bedeutung und Auswirkung für Schüler/innen und Lehrkräfte festgestellt und analysiert. Die Forschungsfragen wurden dabei aufgrund der intensiven Recherche zu den ersten beiden Themenbereichen entwickelt und stützen sich auf die Arbeitshypothese. Dabei wurden Formen sowohl der quantitativen als auch der qualitativen Forschung ange-wandt, deren Ergebnisse in einem Gesamtfazit der Untersuchung münden. Der vierte und letzte Teil konkretisiert die gewonnenen Erkenntnisse dieser Arbeit für das Unterrichtsfach GW. Dabei werden mögliche Folgerungen für den Unterricht abgeleitet und dargestellt. In einer abschließenden Konklusion werden die Chancen und Grenzen der alter-nativen Leistungsfeststellung und -bewertung im kompetenzorientierten GW-Unterricht zusammengefasst.
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Creators: name: Betz, Gregor
name: Richardson, Kyle
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In this paper, we present and implement a multi-dimensional, modular framework for performing deep argument analysis (DeepA2) using current pre-trained language models (PTLMs). ArgumentAnalyst -- a T5 model (Raffel et al. 2020) set up and trained within DeepA2 -- reconstructs argumentative texts, which advance an informal argumentation, as valid arguments: It inserts, e.g., missing premises and conclusions, formalizes inferences, and coherently links the logical reconstruction to the source text. We create a synthetic corpus for deep argument analysis, and evaluate ArgumentAnalyst on this new dataset as well as on existing data, specifically EntailmentBank (Dalvi et al. 2021). Our empirical findings vindicate the overall framework and highlight the advantages of a modular design, in particular its ability to emulate established heuristics (such as hermeneutic cycles), to explore the model's uncertainty, to cope with the plurality of correct solutions (underdetermination), and to exploit higher-order evidence.
description: A Demo is available at https://huggingface.co/spaces/debatelab/deepa2-demo , the model can be downloaded from https://huggingface.co/debatelab/argument-analyst , and the datasets can be accessed at https://huggingface.co/datasets/debatelab/aaac
title: Taxometrische Analyse der Achtsamkeit
Creators: name: Lackner, Oliver
Year: 2020

description: Achtsamkeit steht mit zahlreichen positiven Auswirkungen auf die Psyche in Zusammenhang. Ebenso zahlreich sind die Instrumente, mit denen Achtsamkeit erfasst werden kann. Unklar ist jedoch, ob die zugrundeliegende latente Struktur der Achtsamkeit besser dimensional oder kategorial zu konzeptualisieren ist. Die taxometrische Methode kann eine Antwort auf diese Problemstellung liefern. Die vorliegende Studie untersucht die latente Struktur der Achtsamkeit, erfasst mit dem Five Facet Mindfulness Questionnaire (FFMQ), sowie deren einzelner Facetten mit Hilfe der taxometrischen Methode. Die Gesamtstrichprobe (N = 4154) setzte sich aus zwei zusammengefügten Stichproben unterschiedlicher Untersuchungen zusammen und besteht aus regelmäßig Meditierenden, sowie nicht-Meditierenden Personen. Die Ergebnisse der taxometrischen Analysen deuten auf eine dimensionale Struktur der Achtsamkeit, sowie der fünf Facetten, hin. Personen mit hoher Ausprägung in Achtsamkeit unterscheiden sich nicht qualitativ von Personen mit niedrigeren Achtsamkeitswerten. Achtsamkeit ist somit besser als Kontinuum anzusehen, ohne Cut-Off-Wert, der achtsame, von weniger achtsamen Personen reliabel unterscheiden könnte. Dieses Ergebnis steht im Einklang mit zahlreichen anderen taxometrischen Studien. Die meisten psychologischen Konstrukte und Phänomene dürften besser dimensional als kategorial zu konzeptualisieren sein.
Role of volumetric CT angiogram in diagnosis of perigraft seroma post modified blalock taussig shunt.
Creators: name: Nizamani, Waseem Mehmood
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Arteries / Aorta
subject: CT-Angiography
subject: Shunts
subject: Grafts

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 14 years
description: Clinical History: 14 years old male, past history of cardiac surgery for tetralogy of fallot 10 years back, presented with cough, fever, hemoptysis and weight loss. His chest x-ray was performed which shows mediastinal mass. CT chest was performed for characterization of m... Final Diagnosis: Perigraft seroma after Modified Blalock-Taussing Shunt surgery.
Enhancing Computational Fluid Dynamics with Machine Learning
Creators: name: Vinuesa, Ricardo
name: Brunton, Steven L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. In this Perspective, we highlight some of the areas of highest potential impact, including to accelerate direct numerical simulations, to improve turbulence closure modeling, and to develop enhanced reduced-order models. We also discuss emerging areas of machine learning that are promising for computational fluid dynamics, as well as some potential limitations that should be taken into account.
description: 15 pages, 4 figures
Medulloblastoma :MR Spectroscopy
Creators: name: Singh, Jitender
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Neuroradiology brain
subject: MR
subject: MR-Spectroscopy
subject: Education
subject: Acute

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 2 years
description: Clinical History: Patient presented with episodes of vomiting followed by drowsiness in emergency OPD. Examination shows bilateral papilledema and signs of increased intracranial tension Final Diagnosis: Medulloblastoma
Chicago Council on Foreign Relations Poll # 1978-78175G: American Public Opinion and U.S. Foreign Policy, 1978--General Public
Creators: name: Relations, The Chicago Council On Foreign
Publisher: name: Roper Center for Public Opinion Research
Year: 2013

description: Interest in news (5); biggest problems facing the nation (1); biggest foreign policy problems facing the nation (1); political activity (2); expansion/cuts to federal government programs (7); following of issues/events (7); interest in foreign affairs (1); reliability of sources of information on foreign policy (10); importance of role in U.S. foreign policy (22); Cyrus Vance job performance (1); strength of Congress's role in determining U.S. foreign policy (1); impact of U.S. foreign policy (5); economic aid to other nations (11); military aid to other nations (11); favor/oppose sale of military equipment to other nations (1); U.S. role as world leader (2); world respect towards U.S. (1); U.S. activity in world affairs (1); U.S. foreign policy as a force for good/evil (1); vital interest of U.S. in other nations (13); feelings towards other nations (13); feeling towards American/foreign leaders (14); use of U.S. troops under circumstances (20); European Economic Community/Common Market (1); ties with Western Europe (1); foreign policy goals (13); agree/disagree with statement about international affairs/U.S. foreign policy (6); power and influence of U.S. in regards to Soviet Union (3); countries as threat to U.S. if under Communist power (5); spending on national defense (3); commitment to NATO (1); favor/oppose relationship with Soviet Union (6); CIA job performance (1); CIA duties within other countries (1); restrictions on the CIA (1); Middle East (3); terrorist activities in Italy, West Germany, and Argentina (1); limit on civil liberties to stop terrorism (1); elimination of tariffs on imported goods (1); reason for decline in U.S. world influence (1); declining value of the dollar in the world (4); frequency of watching TV or listening to the radio at home (3); foreign travel (2).
Gallup/Newsweek Poll: Male College Students
Creators: name: Newsweek
Publisher: name: Roper Center for Public Opinion Research
Year: 2013

description: Year in college (1); area of study (1); housing (1); most important problems (1); domestic issues (1); international issues (1); Democratic presidential candidate preference (1); Richard Nixon Vietnam performance (1); voting age (1); Vietnam support (1); ratings of specific institutions (9); campus activists (2); college shortcomings (1); ethnic programs (1); college acceptance based on race (1); marijuana (1); Nixon job performance (1); political party affiliation (1); participation in specific activities (9).
Gallup/Newsweek Poll # 1969-6926: Survey of College Students
Creators: name: Newsweek
Publisher: name: Roper Center for Public Opinion Research
Year: 2013

description: College class (1); major area of study (1); living situation in college (1); Richard Nixon job performance (1); future leader of the Democratic party (10; biggest complaint (2); campus demonstrations (2); students involvement in the academic side of colleges (1); influence of religion in America (1); use of drugs on college campuses (2); generation gap (2); future occupation (1); "sloppy clothes" trend (1); appearance of the respondent (1); counter culture activities (1); greatest social challenge (1); political views compared to parents (1); most admire men (3); ever participated in a peace march/civil rights demonstration (1); Peace Corps/Visa Program (5); required service in armed forces (1); interest in social work as a career (1); sexual relations before marriage (1); magazine readership (1).
Signatures of quantum chaos in low-energy mixtures of few fermions
Creators: name: Łydżba, Patrycja
name: Sowiński, Tomasz
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The low energy dynamics of mesoscopic systems strongly depends on the presence of internal equilibration. For this reason, a better interpretation of ultracold atom experiments requires a more accurate understanding of how quantum chaos manifests itself in these systems. In this paper, we consider a simple but experimentally relevant one-dimensional system of a few ultracold fermions moving in a double-well potential. We analyze its many-body spectral properties, which are commonly used to trace quantum chaos. We observe some signatures of quantum chaos already in the system with three particles. Generally, these signatures become more pronounced when fermions are evenly added to both components. On the contrary, they become suppressed when the particle imbalance is increased.