334,366 research outputs found

    The impacts for stone curlews of increased traffic on the A11. Model and predictions

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    Stone curlew nest density in the Breckland region of Eastern England was shown to be negatively related to ‘nearby’ housing density and ‘nearby’ trunk road traffic (based on new traffic data for the period 1988-2006). However, no statistically significant additional relationship with non-trunk A-road traffic could be detected. We recommend using the statistical modelling predictions in the report Table 5 as the best currently available estimates of the potential effect of a 70% increase in A11 average daily (March-August)two-way traffic above the average All traffic levels in 2002-06. The predicted effect of a 70% increase in A11 traffic is for a reduction from current observed nest numbers on suitable arable land of 3.7% with no changes in housing density or 4.9% when combined with the predicted effect of housing options. A reduction of 7.3% is predicted for semi-natural grassland and SSSI habitats. Taking both semi-natural grassland/SSSI and arable habitats together, the observed total average nest numbers for the period 2002-2006 was 221.4, and the prediction following a 70% increase in traffic on the A11 is 210.8, a reduction of 10.6 nests (4.8%)

    The Evolution of Economics Clubs: 1777-2000

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    Replaced with revised version of paper 01/30/06.Professional associations, club goods, economic societies, knowledge, Teaching/Communication/Extension/Profession, A11, A12, D71, N011,

    FINANCIAL CRISIS IMPACT ON CONSTRUCTION AND REAL ESTATE SECTORS IN ROMANIA

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    This paper presents the evolution of construction and real estate sectors in Romania in the context of current financial crisis, highlighting the internal and international economic climate. The evolutions of the main macroeconomic indicators and sectoral factors of influence on them are presented. Construction and real estate sectors are particularly affected by the worsening perception of the risk, of financing difficulties, doubling the risk of liquidity with the solvency one.financial crisis, construction sector, gross domestic product, added value, liquidity

    DATA MINING AND THE PROCESS OF TAKING DECISIONS IN EBUSINESS

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    Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few artificial intelligence and machine learning twists thrown in. Like statistics, data mining is not a business solution, it is just a technology. For example, consider a catalog retailer who needs to decide who should receive information about a new product. The information operated on by the data mining process is contained in a historical database of previous interactions with customers and the features associated with the customers, such as age, zip code, their responses. The data mining software would use this historical information to build a model of customer behavior that could be used to predict which customers would be likely to respond to the new product. By using this information a marketing manager can select only the customers who are most likely to respond. The operational business software can then feed the results of the decision to the appropriate touch point systems (call centers, direct mail, web servers, email systems, etc.) so that the right customers receive the right offers.data mining, business decisions, data analysis, cluster analysis, decision strategy

    Derivations and Centroids of Four Dimensional Associative Algebras

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    In this paper, we focus on derivations and centroids of four dimensional associative algebras. Using an existing classification result of low dimensional associative algebras, we describe the derivations and centroids of four dimensional associative algebras. We also identify algebra(s) that belong to the characteristically nilpotent class among the algebras of four dimensional associative algebras.Comment: 20 pages, 2 tables, Accepted in International Journal of Pure and Applied Mathematic

    Pemphigus is associated with KIR3DL2 expression levels and provides evidence that KIR3DL2 may bind HLA-A3 and A11 in vivo.

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    This is the peer reviewed version of the following article:Augusto, D. G., O'Connor, G. M., Lobo-Alves, S. C., Bass, S., Martin, M. P., Carrington, M., . . . Petzl-Erler, M. L. (2015). Pemphigus is associated with KIR3DL2 expression levels and provides evidence that KIR3DL2 may bind HLA-A3 and A11 in vivo. European Journal of Immunology, 45(7), 2052-2060, which has been published in final form at DOI: 10.1002/eji.201445324. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-ArchivingAlthough HLA-A3 and A11 have been reported to be ligands for KIR3DL2, evidence for any in vivo relevance of this interaction is still missing. To explore the functional importance of KIR3DL2 allelic variation, we analyzed the autoimmune disease pemphigus foliaceus, previously associated (lower risk) with activating KIR genes. KIR3DL2*001 was increased in patients (odds ratio (OR) = 2.04; p = 0.007). The risk was higher for the presence of both KIR3DL2*001 and HLA-A3 or A11 (OR = 3.76, p = 0.013), providing the first evidence that HLA-A3 and A11 may interact with KIR3DL2 in vivo. The nonsynonymous single nucleotide polymorphism 1190T (rs3745902) was associated with protection (OR = 0.52, p = 0.018). This SNP results in a threonine-to-methionine substitution. Individuals who have methionine in this position exhibit a lower percentage of KIR3DL2-positive natural killer (NK) cells and also lower intensity of KIR3DL2 on expressing natural killer cells; additionally, we show that the expression of KIR3DL2 is independent of other killer cell immunoglobulin-like receptors. Pemphigus foliaceus is a very unique complex disease strongly associated with immune-related genes. It is the only autoimmune disease known to be endemic, showing a strong correlation with environmental factors. Our data demonstrate that this relatively unknown autoimmune disease may facilitate understanding of the molecular mechanisms of KIR3DL2 ligand recognition

    Determinantal and eigenvalue inequalities for matrices with numerical ranges in a sector

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    Let A = \pmatrix A_{11} & A_{12} \cr A_{21} & A_{22}\cr\pmatrix \in M_n, where A11MmA_{11} \in M_m with mn/2m \le n/2, be such that the numerical range of AA lies in the set \{e^{i\varphi} z \in \IC: |\Im z| \le (\Re z) \tan \alpha\}, for some φ[0,2π)\varphi \in [0, 2\pi) and α[0,π/2)\alpha \in [0, \pi/2). We obtain the optimal containment region for the generalized eigenvalue λ\lambda satisfying \lambda \pmatrix A_{11} & 0 \cr 0 & A_{22}\cr\pmatrix x = \pmatrix 0 & A_{12} \cr A_{21} & 0\cr\pmatrix x \quad \hbox{for some nonzero} x \in \IC^n, and the optimal eigenvalue containment region of the matrix ImA111A12A221A21I_m - A_{11}^{-1}A_{12} A_{22}^{-1}A_{21} in case A11A_{11} and A22A_{22} are invertible. From this result, one can show det(A)sec2m(α)det(A11)det(A22)|\det(A)| \le \sec^{2m}(\alpha) |\det(A_{11})\det(A_{22})|. In particular, if AA is a accretive-dissipative matrix, then det(A)2mdet(A11)det(A22)|\det(A)| \le 2^m |\det(A_{11})\det(A_{22})|. These affirm some conjectures of Drury and Lin.Comment: 6 pages, to appear in Journal of Mathematical Analysi
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