1,237 research outputs found

    Towards Building a Knowledge Base of Monetary Transactions from a News Collection

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    We address the problem of extracting structured representations of economic events from a large corpus of news articles, using a combination of natural language processing and machine learning techniques. The developed techniques allow for semi-automatic population of a financial knowledge base, which, in turn, may be used to support a range of data mining and exploration tasks. The key challenge we face in this domain is that the same event is often reported multiple times, with varying correctness of details. We address this challenge by first collecting all information pertinent to a given event from the entire corpus, then considering all possible representations of the event, and finally, using a supervised learning method, to rank these representations by the associated confidence scores. A main innovative element of our approach is that it jointly extracts and stores all attributes of the event as a single representation (quintuple). Using a purpose-built test set we demonstrate that our supervised learning approach can achieve 25% improvement in F1-score over baseline methods that consider the earliest, the latest or the most frequent reporting of the event.Comment: Proceedings of the 17th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '17), 201

    A Validation of the Efficacy of Descriptive Instrumental Collective Case Study Research Methodology for Examining Pilot Cognitive Functioning

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    The research conducted developed a descriptive understanding of how the cognitive processes of risk assessment, problem solving, and decision making, as well as other supportive processes, are employed by pilots-in-command (PICs) during the experience of extended, extreme, in-flight emergencies. This understanding is then applied to similar dynamic, operational environments. The research also validated the applicability and efficacy of Robert Stake’s 1995 descriptive, instrumental, collective case study methodology as a tool for investigating such phenomenon and developing such an understanding. Specifically, the research details the necessary procedures for employing this methodology successfully, and provides example of those procedures, and their results, by way of a research example. The research also details how this developed knowledge can be applied to the practical problems associated with pilot cognition during extended, extreme in-flight emergencies specifically, to ultimately better equip pilots to successfully address such emergencies. The path forward in subsequent research is also detailed

    Customers opinion on the Mizse mineralwater in Kecskemét and its neighbouring settlements

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    In this article we studied one aspect of consumer’s habit, namely the consumption of mineral water in the middle of Hungary. We applied so-called multiple methodology during the field work. We carried out a questionnaire survey as main method of research in CBA-supermarkets of three different settlements. The major part of the consumers considered the price as the most important factor of purchase. They beleived the secret of the success of ’Mizse’ in it. The interest in the pack of 0.5 litre was surprisingly great. The product of this size of packing has been released later. Almost 58% of the costumers buying ’Mizes-water’ would certainly try the fizzy drink called ’Mizse-lemon soda’, too. The initial results echoe the need of further investigation

    Pilot Cognitive Functioning During Extended, Extreme In-flight Emergencies

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    Purpose‱ To develop a detailed, holistic understanding of professional PICs’ experiences of an extended, extreme in-flight emergency, which were successfully overc

    The two dimensional XY model at the transition temperature: A high precision Monte Carlo study

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    We study the classical XY (plane rotator) model at the Kosterlitz-Thouless phase transition. We simulate the model using the single cluster algorithm on square lattices of a linear size up to L=2048.We derive the finite size behaviour of the second moment correlation length over the lattice size xi_{2nd}/L at the transition temperature. This new prediction and the analogous one for the helicity modulus are confronted with our Monte Carlo data. This way beta_{KT}=1.1199 is confirmed as inverse transition temperature. Finally we address the puzzle of logarithmic corrections of the magnetic susceptibility chi at the transition temperature.Comment: Monte Carlo results for xi/L in table 1 and 2 corrected. Due to a programming error,these numbers were wrong by about a factor 1+1/L^2. Correspondingly the fits with L_min=64 and 128 given in table 5 and 6 are changed by little.The central results of the paper are not affected. Wrong sign in eq.(52) corrected. Appendix extende

    Electron-phonon coupling in potassium-doped graphene: Angle-resolved photoemission spectroscopy

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    The electron-phonon coupling in potassium-doped graphene on Ir(111) is studied via the renormalization of the pi* band near the Fermi level, using angle-resolved photoemission spectroscopy. The renormalization is found to be fairly weak and almost isotropic, with a mass enhancement parameter of lambda= 0.28(6) for both the K-M and the K-G direction. These results are found to agree well with recent first principles calculations.Comment: 5 pages, 3 figure

    Far-infrared photometric observations of the outer planets and satellites with Herschel-PACS

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    We present all Herschel PACS photometer observations of Mars, Saturn, Uranus, Neptune, Callisto, Ganymede, and Titan. All measurements were carefully inspected for quality problems, were reduced in a (semi-)standard way, and were calibrated. The derived flux densities are tied to the standard PACS photometer response calibration, which is based on repeated measurements of five fiducial stars. The overall absolute flux uncertainty is dominated by the estimated 5% model uncertainty of the stellar models in the PACS wavelength range between 60 and 210 micron. A comparison with the corresponding planet and satellite models shows excellent agreement for Uranus, Neptune, and Titan, well within the specified 5%. Callisto is brighter than our model predictions by about 4-8%, Ganymede by about 14-21%. We discuss possible reasons for the model offsets. The measurements of these very bright point-like sources, together with observations of stars and asteroids, show the high reliability of the PACS photometer observations and the linear behavior of the PACS bolometer source fluxes over more than four orders of magnitude (from mJy levels up to more than 1000 Jy). Our results show the great potential of using the observed solar system targets for cross-calibration purposes with other ground-based, airborne, and space-based instruments and projects. At the same time, the PACS results will lead to improved model solutions for future calibration applications.Comment: 25 pages, 11 figures, 11 table

    Nonlinear integral equations for finite volume excited state energies of the O(3) and O(4) nonlinear sigma-models

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    We propose nonlinear integral equations for the finite volume one-particle energies in the O(3) and O(4) nonlinear sigma-models. The equations are written in terms of a finite number of components and are therefore easier to solve numerically than the infinite component excited state TBA equations proposed earlier. Results of numerical calculations based on the nonlinear integral equations and the excited state TBA equations agree within numerical precision.Comment: numerical results adde

    Synthesis of poly(sulfonate ester)s by ADMET polymerization

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    Many hydrocarbon polymers containing heteroatom defects in the main chain have been investigated as degradable polyethylene-like materials, including aliphatic polyesters. Here, acyclic diene metathesis (ADMET) polymerization was used for the synthesis of aliphatic poly(sulfonate ester)s. The requisite sulfonate ester containing α,ω-diene monomers with varying numbers of methylene groups were synthesized, and their polymerization in the presence of ruthenium-N-heterocyclic (Ru-NHC) alkylidene catalysts was studied. A clear negative neighboring group effect (NNGE) was observed for shorter dienes, either inhibiting polymerization or resulting in low- molecular-weight oligomers. The effect was absent when undec-10-en-1-yl undec-10- ene-1-sulfonate was employed as the monomer, and its ADMET polymerization afforded polymers with appreciable number-average molecular weights of up to 37,000 g/mol and a dispersity Đ of 1.8. These polymers were hydrogenated to afford the desired polyethylene-like systems. The thermal and morphological properties of both saturated and unsaturated polymers were investigated. The incorporation of sulfonate ester groups in the polymer backbone offers an interesting alternative to other heteroatoms and helps further the understanding of the effects of these defects on the overall polymer properties
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