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    application/pdf独仏文学. 2000, 34, p.55-109departmental bulletin pape

    Data for: A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case

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    Abstract of associated article: This paper contributes to the current literature by proposing an alternative parametric metafrontier productivity approach called the deterministic parametric metafrontier Luenberger Productivity Indicator (DPMLPI) for measuring environmentally sensitive productivity growth incorporating technological heterogeneities. The Luenberger productivity indicator is constructed based on a quadratic output directional distance function with undesirable outputs, and then combined with the deterministic metafrontier to develop DPMLPI. The DPMLPI can be decomposed into efficiency change, technological change and productivity growth gap. The productivity growth gap can be further divided into efficiency change gap and technological change gap. The parametric linear programming technique is used to estimate parameters and construct the metafrontier. An empirical study for the Korean fossil fuel power industry at the plant-level is conducted for the 2003–2011 period. The results show a 0.15% increase in environmentally-sensitive productivity growth, which is mainly driven by environmental technological change. The oil-fired power plants show higher levels than the coal-fired ones of environmentally sensitive productivity growth and technological change performance. Some related policy implications are also proposed for the Korean fossil-fuel power sector

    An Authentication Framework for the Internet of Things

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    The Internet of Things (IoT) is a dynamic environment in which things can communicate and interact with each other. It is poised to be the new era of communication, perhaps the new Internet. In spite of the high level of convenience delivered by the IoT, it is accompanied by a range of security challenges. One of the challenges is how to achieve identification and authentication among a large number of heterogeneous devices in an automatic, secure and efficient manner. This project is set to investigate how to achieve authentication in IoT environments

    Hydrogen-Atom Abstraction/Cyclization in Synthesis. Direct Syntheses of Coumestan and Coumestrol

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    The synthesis of coumestrol has been achieved in five steps from 1,3-dimethoxybenzene. The key step is a photochemical cyclization of a glyoxylate ester

    Colorimetric Detection of Anthrax DNA with a Peptide Nucleic Acid Sandwich-Hybridization Assay

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    Technologies for genomic detection most commonly use DNA probes to hybridize to target sequences. To achieve required sensitivity, the use of PCR to amplify target sequences has remained standard practice in many labs. Direct detection methods that eliminate the requirement for a PCR step could afford faster and simpler devices that can be used outside of a laboratory. We have developed a sandwich-hybridization DNA detection system in which the DNA detection probes are replaced with a class of synthetic nucleic acid mimics called peptide nucleic acids (PNAs). There are numerous advantages to using PNA instead of DNA probes in hybridization assays, including complete resistance to degradation by enzymes, increased sequence specificity to complementary DNA, and higher stability when bound with complementary DNA. In this communication, several different strategies are described to improve and fine-tune the properties of PNA so that anthrax DNA can be detected at a 10 zmol limit. Key to the success of these strategies is the ability to introduce chemical modifications into the PNA to improve thermal stability and to increase the number of biotin groups to which a horseradish peroxidase−avidin conjugate can bind

    Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions

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    <p>Gaussian process modeling, or kriging, is a popular method for modeling data from deterministic computer simulations, and the most common choices of covariance function are Gaussian, power exponential, and Matérn. A characteristic of these covariance functions is that the basis functions associated with their corresponding response predictors are localized, in the sense that they decay to zero as the input location moves away from the simulated input sites. As a result, the predictors tend to revert to the prior mean, which can result in a bumpy fitted response surface. In contrast, a fractional Brownian field model results in a predictor with basis functions that are nonlocalized and more sigmoidal in shape, although it suffers from drawbacks such as inability to represent smooth response surfaces. We propose a class of Brownian integrated covariance functions obtained by incorporating an integrator (as in the white noise integral representation of a fractional Brownian field) into any stationary covariance function. Brownian integrated covariance models result in predictor basis functions that are nonlocalized and sigmoidal, but they are capable of modeling smooth response surfaces. We discuss fundamental differences between Brownian integrated and other covariance functions, and we illustrate by comparing Brownian integrated power exponential with regular power exponential kriging models in a number of examples. Supplementary materials for this article are available online.</p

    Upcycling Construction and Demolition Waste into Calcium Carbonates: Characterization of Leaching Kinetics and Carbon Mineralization Conditions

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    Carbon mineralization is a technology that fixes CO2 permanently into solid carbonates via the reaction between CO2 and alkaline substances. In our studies, we used Ca-bearing industrial waste (i.e., construction and demolition waste) as the feedstock to produce high-purity calcium carbonates. We aim to integrate valorization of solid wastes and CO2 emission mitigation in our process. To achieve qualified products and fast kinetics, the reaction routes can be divided into two main processes: a dissolution process with acid followed by a two-step carbonation reaction. The advantages of this multistage process are obtaining products with high purity, tailored morphology, and narrowed particle size distribution. Conducting effective carbon mineralization requires a comprehensive understanding of the kinetics of the dissolution process, and it was found that the rate-limiting step is diffusion due to the intrinsic properties of the feedstock. In the subsequent carbonation process, impurities (Al, Fe, and Si) from the leachate were selectively removed as their oxides prior to the carbonation reaction, through pH swing, leveraging differential solubilities. Subsequent carbonation with bubbled CO2 under controlled conditions produced calcium carbonate with tunable forms between vaterite, aragonite, and calcite. The variations of the particle size distribution and the shape of the solid were monitored in real time through a Blaze900 probe from BlazeMetrics Co., which provided optical information, facilitating a better understanding of the kinetics and mechanisms of the dissolution and crystallization processes. Thus, alkaline industrial waste can be efficiently and sustainably utilized through the carbon mineralization pathway

    Poly(vinylphosphonate)s with Widely Tunable LCST: A Promising Alternative to Conventional Thermoresponsive Polymers

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    Novel statistic copolymers of dialkyl vinylphosphonates have been synthesized via rare earth metal-mediated group transfer polymerization using easily accessible tris­(cyclopentadienyl)­ytterbium. The copolymerization parameters have been determined by activity measurements showing the formation of almost perfectly random copolymers (r1, r2 ∼ 1). Thus, the polymerization rate of vinylphosphonate GTP is mainly limited by the steric demand of growing polymer chain end. The obtained copolymers of diethyl vinylphosphonate and dimethyl or di-n-propyl vinylphosphonate show thermoresponsive properties, i.e., exhibit a tunable lower critical solution temperature following a coil–globule transition mechanism, with cloud points between 5 and 92 °C. Hereby, the LCST can be precisely adjusted by varying the comonomer composition and correlates linearly with the content of hydrophilic/hydrophobic comonomer. These thermoresponsive poly­(vinylphosphonate)­s, exhibiting a sharp and reversible phase transition, and minor environmental effects such as concentration and additives on their cloud point, are promising candidates in biomedical applications

    Descriptive statistics of conditional and outcome variables.

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    Descriptive statistics of conditional and outcome variables.</p

    sj-spv-4-hpq-10.1177_13591053211065102 – Supplemental material for Implicit theories of body weight and engagement in healthy lifestyles among young adults: The mediating effect of self-control

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    Supplemental material, sj-spv-4-hpq-10.1177_13591053211065102 for Implicit theories of body weight and engagement in healthy lifestyles among young adults: The mediating effect of self-control by Ying Zhang, Ning Zhang and Chenyang Xu in Journal of Health Psychology</p
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