348 research outputs found

    Deux savants grecs. Constantinos Sathas et Athanasios Papadopoulos-Kerameus. Notes biographiques

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    Xanthopoulos Th. Deux savants grecs. Constantinos Sathas et Athanasios Papadopoulos-Kerameus. Notes biographiques. In: Échos d'Orient, tome 17, n°107, 1914. pp. 345-348

    sj-pdf-1-eqs-10.1177_87552930231153424 – Supplemental material for A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk

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    Supplemental material, sj-pdf-1-eqs-10.1177_87552930231153424 for A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk by Athanasios N Papadopoulos, Maren Böse, Laurentiu Danciu, John Clinton and Stefan Wiemer in Earthquake Spectra</p

    Development of an autonomous water sampler

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    EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    The role of actor associations in understanding the implementation of lean thinking in healthcare

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    Purpose: The importance of networks in effecting the outcomes of change processes is well-established in the literature. Whilst extant literature focuses predominantly on the structural properties of networks, our purpose is to explore the dynamics of network emergence that give rise to the outcomes of process interventions. We show how Actor Network Theory (ANT) may be used as a lens for interrogating the way in which management interventions play out in the complex organisational setting of a UK National Health Service Trust, providing insights for management of process change initiatives. Design/methodology/approach: This is a rich qualitative study in the Pathology Unit of a UK National Health Service Trust, using ANT as the theoretical lens for tracking the emergence and transformation of networks of individuals over the course of a management intervention to promote “lean thinking” for performance improvements.Findings: ANT is useful for explicitly tracking how organisational players shift their positions and network allegiances over time, and identifying objects and actions that are effective in engaging individuals in networks enabling transition to a lean process. It is important to attend to the dynamics of the process of change and devise appropriate timely interventions enabling actors to shift their own positions towards a desired outcome.Research limitations/implications: We make the case for using of theoretical frameworks developed outside the operations management to develop insights for designing process interventions.Originality/value: By understanding the role of shifting networks managers can use timely interventions during the process implementation to facilitate the transition to lean processes: e.g. using demonstrable senior leadership commitment and visual communication.<br/

    Asymmetric Volatility Spillovers between Stock Market and Real Activity: Evidence from the UK and the US

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    This paper examines the short-run dynamic relationships between stock market and real activity, within a country, for the UK and the US. The Cross Correlation Function testing procedure is applied to test for causality in mean and in variance between the stock market and the real economic sector. Besides variance causation, volatility spillover effects are examined through the multivariate specification form of the Exponential GARCH model. There is evidence of significant reciprocal volatility spillovers between the two sectors within a country, implying stronger interdependencies in the UK rather than in the US and asymmetric behavior only in the case of the UK.Stock market, Real activity, Volatility spillovers, UK, US

    Computing and Listing Avoidable Vertices and Paths

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    A simplicial vertex of a graph is a vertex whose neighborhood is a clique. It is known that listing all simplicial vertices can be done in O(nm)O(nm) time or O(nω)O(n^{\omega}) time, where O(nω)O(n^{\omega}) is the time needed to perform a fast matrix multiplication. The notion of avoidable vertices generalizes the concept of simplicial vertices in the following way: a vertex uu is avoidable if every induced path on three vertices with middle vertex uu is contained in an induced cycle. We present algorithms for listing all avoidable vertices of a graph through the notion of minimal triangulations and common neighborhood detection. In particular we give algorithms with running times O(n2m)O(n^{2}m) and O(n1+ω)O(n^{1+\omega}), respectively. Additionally, based on a simplified graph traversal we propose a fast algorithm that runs in time O(n2+m2)O(n^2 + m^2) and matches the corresponding running time of listing all simplicial vertices on sparse graphs with m=O(n)m=O(n). Moreover, we show that our algorithms cannot be improved significantly, as we prove that under plausible complexity assumptions there is no truly subquadratic algorithm for recognizing an avoidable vertex. To complement our results, we consider their natural generalizations of avoidable edges and avoidable paths. We propose an O(nm)O(nm)-time algorithm that recognizes whether a given induced path is avoidable

    Author Correction: A shared neural basis underlying psychiatric comorbidity

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    Correction to: Nature Medicine. Published online 24 April 2023. In the version of this article initially published, the STRATIFY data also included cohort data from the ESTRA consortium, though this was not acknowledged in the author list and the section in Methods on the Stratify dataset. The Methods are now updated, and the author list is amended to combine the STRATIFY and ESTRA consortium names and to include the following authors: Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Hervé Lemaître, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris and Sylvane Desrivières. The STRATIFY and ESTRA consortia are now combined to list Marina Bobou, M. John Broulidakis, Betteke Maria van Noort, Zuo Zhang, Lauren Robinson, Nilakshi Vaidya, Jeanne Winterer, Yuning Zhang, Sinead King, Gareth J. Barker, Arun L. W. Bokde, Hervé Lemaître, Frauke Nees, Dimitri Papadopoulos Orfanos, Ulrike Schmidt, Julia Sinclair, Argyris Stringaris, Henrik Walter, Robert Whelan, Sylvane Desrivières and Gunter Schumann as members, and the IMAGEN consortium is updated to also include Sylvane Desrivières. Affiliations, author contributions and acknowledgements have been updated to reflect the new authorship, and all changes have been made in the HTML and PDF versions of the article

    On the investigation of utility functions on optimal sensor locations

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    Structural Health Monitoring uses data collected from sensors placed on structures to determine their operating condition and whether maintenance is required. Often, optimal sensor placement strategies are used to find the optimal locations for the identification of their modal properties, structural parameters and/or abnormal behaviours under the influence of model and measurement uncertainty. An approach that has been frequently used to solve the problem of sensor placement is the Bayesian experimental design. This approach chooses the locations using the data measured by the sensors to reduce the prior uncertainty of the parameters that are being inferred. The Bayesian experimental design minimizes the uncertainty of the parameters to be inferred through the use of metrics called utility functions. Most of these metrics are based on functions of the posterior distribution. In this paper, the use of three utility functions (Bayesian D-posterior precision, Bayesian A-posterior precision, and Expected Information Gain) is investigated for the problem of sensor placement. The case study chosen consists of a beam with translational and rotational springs connected to the ground subject to an impulsive load. The goal of the analysis is to select the most informative position of a sensor in order to update the distribution of two uncertain physical parameters of the beam based on natural frequencies extracted using the Eigensystem Realization Algorithm. It is shown that for the case investigated, the three utility functions yield the same optimal sensor location.Mechanics and Physics of Structure

    Mesoscopic transport in 2D materials and heterostructures

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    This thesis presents an experimental work on electronic transport in two-dimensional (2D) van der Waals systems. The variety of the physics of the chapters reflects the exploratory character of the Ph.D. study and demonstrates the versatility and the unique properties of some of the members of the vast group of van der Waals materials. In the experiments we explore the fundamental properties of carriers and states in 2D materials via electrical transport. The first three chapters include experimental work on planar transport in multiterminal devices from transition metal dichalcogenides (2H-MoS2) and trichalogenides (TiS3). In the fist chapter, we study how intravalley spin relaxation and the phase coherence affects weak localization in boron nitride encapsulatedMoS2. In TiS3 we explore its electronic properties and in order to avoid disorder induced localization, we protect the devices with hexagonal boron nitride. An improvement in the quality of the transport and signatures of charge-density-wave transition are observed. Lastly, multi-terminal transport in 1T/1T0-MoS2 and its carrier transport mechanism are investigated, with special emphasis on how to establish low-temperature electrical contacts to 2H-MoS2. The next part of the thesis shifts to vertical transport in van der Waals heterostructures. Firstly, we use WS2 as tunneling barrier between monolayer graphene and metal contact. We observe sequential tunneling through localized states. By studying the ground and excited states, we gain information about their spatial sizes and the magnetic moments of these states. Lastly, we explore heterostructures of graphene on WSe2 and potential effects on the band structure due to the dielectric environment and the proximity induced spin-orbit coupling.QRD/Goswami LabQN/Steele La
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