180,484 research outputs found

    C.E. Bosworth, Ch. Issawi, R. Savory, A.L. Udovitch (editors), The Islamic World. From Classical to Modem Times (Essays in Honor of Bernard Lewis). Princeton, New Jersey, The Darwin Press Inc., 1989

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    Popovic Alexandre. C.E. Bosworth, Ch. Issawi, R. Savory, A.L. Udovitch (editors), The Islamic World. From Classical to Modem Times (Essays in Honor of Bernard Lewis). Princeton, New Jersey, The Darwin Press Inc., 1989. In: Bulletin critique des annales islamologiques, n°8, 1992. pp. 198-200

    Bremer Jan N., Veenstra Jan R. (eds.), The Metamorphosis of Magic from Late Antiquity to the Early Modern Period, [La Métamorphose de la magie depuis l’Antiquité tardive jusqu’aux débuts de la Période moderne]. Leuven-Paris-Dudley MA, Peeters (Groningen Studies in Cultural Change, 1), 2002

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    Popovic Alexandre. Bremer Jan N., Veenstra Jan R. (eds.), The Metamorphosis of Magic from Late Antiquity to the Early Modern Period, [La Métamorphose de la magie depuis l’Antiquité tardive jusqu’aux débuts de la Période moderne]. Leuven-Paris-Dudley MA, Peeters (Groningen Studies in Cultural Change, 1), 2002. In: Bulletin critique des annales islamologiques, n°23, 2007. pp. 48-51

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Decoupled Threaded Architecture

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    Decoupled Threaded Architecture (DTA) is designed to exploit Thread Level Parallelism (TLP) by using a sea of simple cores grouped into cluster for providing a scalable solution that copes with wire delay. Our goals are i) to provide an aggressive mechanisms for decoupling memory accesses deriving from simple and complex data structures; ii) to implement a non-blocking execution of the threads. Here we illustrate some of the concepts related to our research in implementing DTA

    Introducing hardware TLP support for the Cell processor

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    The focus of our study is the support for fine/medium grained thread level parallelism (TLP) by using a hardware scheduling unit and relying on existing simple cores. Simple cores are grouped into clusters in order to provide a scalable solution. As a proof of concept, we use an implementation based on the cell broadband engine (CBE). Cell is a multiprocessor on a chip developed by Sony, Toshiba and IBM that contains one general purpose core and eight coprocessor elements that accelerate the multimedia and vector processing. The aim of this paper is to present a possible implementation of DTA (decoupled threaded architecture) that is based on the cell processor, while keeping the scalability of the original DTA

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Average Weighted Monthly SPEI values for NUTS2016 Dataset

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    This dataset provides average weighted values of the Standardised Precipitation-Evapotranspiration Index(SPEI) for various NUTS2016 levels. SPEI is a multi-scalar measure of drought severity frequently used in multi-disciplinary scholarly research to detect, observe and examine the onset and termination of drought episodes. The SPEI dataset used here originates from The SPEI Global Drought Monitor], which offers near real-time information about drought conditions worldwide, with a 1 degree spatial resolution and a monthly coverage from January 1950 until March 2021. It is based on the Thortnthwaite equation for estimating potential evapotranspiration or PET. Using this equation, SPEI is calculated as the the difference between the precipitation (P) and PET for every available month.While the Thortnthwaite equation is less superior to the FAO-56 Penman-Monteith estimation of potential evapotranspiration when it comes to long-term climatological analysis, there are several advantages of using the estimations from the SPEI Global Drought Monitor. The main advantage is its near real-time character, which is best suited for drought monitoring and early warning purposes. This dataset also relies on less robust methods of PET computation, allowing for a more efficient processing of the dataset. Finally, this dataset is updated during the first days of the following month based on the most reliable and updated sources of climatic data. Average temperature data are obtained from the NOAA NCEP CPC GHCN_CAMS gridded dataset while monthly precipitation sums data are obtained from the 'first guess' Global Precipitation Climatology Centre(GPCC). The SPEI data was downloaded from the https://soton.eead.csic.es/spei/10/nc/spei01.nc in the 1-month scale and imported as stacked raster file with 855 layers in total (each layer is a month-year ranging from January 1950 until March 2021). Missing values were assigned based on the value suggested by the authors of the original dataset. Next, the stacked raster was processed in R using exactextractr package for zonal statistics of multiband raster files, which summarizes pixel values over polygonal areas. The NUTS2016 polygons were obtained from Eurostat. Using one of the most common methods in zonal statistics, the mean value of every monthly SPEI cell was intersected by the polygon units for each NUTS2016 shapefile separately (NUTS0, NUTS1, NUTS2 and NUTS3) and then weighted by the fraction of the cell that is covered. The resulting values range from negative (higher drought levels) to positive (lower drought levels)

    Supplementary_material_Table_1 - Immunoglobulin levels may aid in the prediction of treatment response in anti-CD20 treatment of multiple sclerosis

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    Supplementary_material_Table_1 for Immunoglobulin levels may aid in the prediction of treatment response in anti-CD20 treatment of multiple sclerosis by R Hoepner, A Miclea, J Popovic, N Kamber, A Chan and A Salmen in Clinical and Translational Neuroscience</p

    A flattening oxygen consumption trajectory phenotypes disease severity and poor prognosis in patients with heart failure with reduced, mid-range, and preserved ejection fraction

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    BACKGROUND: In heart failure (HF), a flattening oxygen consumption (VO2 ) trajectory during cardiopulmonary exercise test (CPET) reflects an acutely compromised cardiac output. We hypothesized that a flattening VO2 trajectory is helpful in phenotyping disease severity and prognosis in HF with either reduced (HFrEF), mid-range (HFmrEF), or preserved (HFpEF) ejection fraction. METHODS AND RESULTS: Overall, 319 HF patients (198 HFrEF, 80 HFmrEF, and 41 HFpEF) underwent CPET. A flattening VO2 trajectory was tracked and defined as an inflection of VO2 linearity as a function of work rate with a second slope downward inflection &gt;35% extent of the first one. Peak VO2 , the minute ventilation/carbon dioxide production (VE/VCO2 ) slope, and the presence of exercise oscillatory ventilation (EOV) were also determined. Pulmonary artery systolic pressure (PASP) and tricuspid annular plane systolic excursion (TAPSE) were measured by echocardiography. A flattening VO2 occurred in 92 patients (28.8%). PASP and TAPSE at rest were significantly higher and lower (P &lt; 0.001), respectively. The primary outcome was the combination of all-cause death, heart transplantation and left ventricular assist device implantation. The secondary outcome was the primary outcome plus hospitalization for cardiac reasons. In the multivariate model including peak VO2 , VE/VCO2 slope, EOV and VO2 trajectory, a flattening VO2 trajectory and EOV were retained in the regression for primary (X2 = 35.78, and 36.36, respectively; P &lt; 0.001) and secondary (X2 = 12.45 and 47.91, respectively; P &lt; 0.001) outcomes. CONCLUSIONS: Results point to a flattening VO2 trajectory as a likely new and strong predictor of events in HF with any ejection fraction. Given the relation of right-sided cardiac dysfunction to pulmonary hypertension, this oxygen pattern might suggest a real-time decrease in pulmonary blood flow to the left heart

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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