Sample records for istvn vajda sndor

  1. Bounds on Nonsymmetric Divergence Measure in terms of Other Symmetric and Nonsymmetric Divergence Measures

    PubMed Central

    Jain, K. C.; Chhabra, Praphull


    Vajda (1972) studied a generalized divergence measure of Csiszar's class, so called “Chi-m divergence measure.” Variational distance and Chi-square divergence are the special cases of this generalized divergence measure at m = 1 and m = 2, respectively. In this work, nonparametric nonsymmetric measure of divergence, a particular part of Vajda generalized divergence at m = 4, is taken and characterized. Its bounds are studied in terms of some well-known symmetric and nonsymmetric divergence measures of Csiszar's class by using well-known information inequalities. Comparison of this divergence with others is done. Numerical illustrations (verification) regarding bounds of this divergence are presented as well.

  2. The Ideabook for Arts in Education: Resource Guide 1. The Arts and Learning: Interdisciplinary Resources for Education.

    ERIC Educational Resources Information Center

    Lee, Ronald T., Ed.; And Others

    Ideas about the arts and their place in the classroom are elaborated through this series of essays. "Radio Plays: A Close Encounter with Another Medium" (Norton A. Roman) discusses the use of old radio plays in the classroom. "Dynamic Dinosaurs" (Kathy Vajda) describes teaching a unit on dinosaurs to a kindergarten class. Lilyan Abramson combines…

  3. Collapse of florisitic diversity coincident with a fungal spike and iridium anomaly at the Cretaceous-Tertiary boundary in New Zealand

    NASA Astrophysics Data System (ADS)

    Vajda, V.; Raine, J. I.


    Analysis of pollen and spore assemblages from both terrestrial and near-shore marine sediments in New Zealand had revealed an instant, extensive destruction of land plants directly associated with the Cretaceous-Tertiary boundary (KTB) event, (Vajda et al., 2001). A recent palynological investigation, based on millimeter resolution sampling of the terrestrial KTB sediments at Moody Creek Mine, Greymouth coalfield, New Zealand has been carried out. The sediments were deposited in a terrestrial wetland environment and the KTB is defined within a coal seam. Preliminary results of the high-resolution investigation reveal a diverse vascular plant spore/pollen flora (>80 species) that was replaced by an assemblage impoverished in vascular plant pollen and spores, but rich in fungal spores. The "barren" layer is coincident with the extinction of several miospore taxa and contains an iridium abundance of 3ppb. The fungal spike covers 5 mm, and is followed by a 40-cm interval with abundant fern spores. The relative abundance of fern spores, increases from 25% below the boundary to 98% in the sediment following the KTB. We argue that the abrupt palynofloristic changes at this high southern palaeolatitude site are evidence of massive disruptions to terrestrial plant communities as a consequence of the Chicxulub impact. Palynofloristic evidence indicates that the complex mire and forest vegetation was totally devastated at the time of impact. Global cooling and several months with extremely low light levels following the impact, perhaps in combination with extensive wildfires would explain the devastation of the vegetation. The "barren" layer at the KTB corresponds to immediate post-impact conditions with low light levels and dust-related cooling unfavorable to forest growth but favoring saprophytic fungi. The recovery succession is initiated by opportunistic species of ground ferns, the plants best adapted to low light, lowered temperatures and high acidity. Vajda, V., Raine

  4. Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques

    PubMed Central

    Brenke, Ryan; Kozakov, Dima; Chuang, Gwo-Yu; Beglov, Dmitri; Hall, David; Landon, Melissa R.; Mattos, Carla; Vajda, Sandor


    Motivation: The binding sites of proteins generally contain smaller regions that provide major contributions to the binding free energy and hence are the prime targets in drug design. Screening libraries of fragment-sized compounds by NMR or X-ray crystallography demonstrates that such ‘hot spot’ regions bind a large variety of small organic molecules, and that a relatively high ‘hit rate’ is predictive of target sites that are likely to bind drug-like ligands with high affinity. Our goal is to determine the ‘hot spots’ computationally rather than experimentally. Results: We have developed the FTMAP algorithm that performs global search of the entire protein surface for regions that bind a number of small organic probe molecules. The search is based on the extremely efficient fast Fourier transform (FFT) correlation approach which can sample billions of probe positions on dense translational and rotational grids, but can use only sums of correlation functions for scoring and hence is generally restricted to very simple energy expressions. The novelty of FTMAP is that we were able to incorporate and represent on grids a detailed energy expression, resulting in a very accurate identification of low-energy probe clusters. Overlapping clusters of different probes are defined as consensus sites (CSs). We show that the largest CS is generally located at the most important subsite of the protein binding site, and the nearby smaller CSs identify other important subsites. Mapping results are presented for elastase whose structure has been solved in aqueous solutions of eight organic solvents, and we show that FTMAP provides very similar information. The second application is to renin, a long-standing pharmaceutical target for the treatment of hypertension, and we show that the major CSs trace out the shape of the first approved renin inhibitor, aliskiren. Availability: FTMAP is available as a server at Contact: Supplementary

  5. Discovery in the Galactic Bulge

    NASA Astrophysics Data System (ADS)

    Kohler, Susanna


    In our efforts to map our galaxys structure, one region has remained very difficult to probe: the galactic center. A new survey, however, uses infrared light to peer through the gas and dust in the galactic plane, searching for variable stars in the bulge of the galaxy. This study has discovered a population of very young stars in a thin disk in the galactic center, providing clues to the star formation history of the Milky Way over the last 100 million years.Obscured CenterThe center of the Milky Way is dominated by a region known as the galactic bulge. Efforts to better understand this region in particular, its star formation history have been hindered by the stars, gas, and dust of the galactic disk, which prevent us from viewing the galactic bulge at low latitudes in visible light.The positions of the 35 classical Cepheids discovered in VVV data, projected onto an image of the galactic plane. Click for a better look! The survey area is bounded by the blue lines, and the galactic bar is marked with a red curve. The bottom panel shows the position of the Cepheids overlaid on the VVV bulge extinction map. [Dkny et al. 2015]Infrared light, however, can be used to probe deeper through the dust than visible-light searches. A new survey called VISTA Variables in the Via Lactea (VVV) uses the VISTA telescope in Chile to search, in infrared, for variable stars in the inner part of the galaxy. The VVV survey area spans the Milky Way bulge and an adjacent section of the mid-plane where star formation activity is high.Led by Istvn Dkny, a researcher at the Millennium Institute of Astrophysics and the Pontifical Catholic University of Chile, a team has now used VVV data to specifically identify classical Cepheid variable stars in the bulge. Why? Cepheids are pulsating stars with a very useful relation between their periods and luminosities that allows them to be used as distance indicators. Moreover, classical Cepheids are indicators of young stellar populations which can

  6. Extreme weather impacts on European networks of transport

    NASA Astrophysics Data System (ADS)

    Leviakangas, P.


    : Pekka Leviäkangas, Anu Tuominen, Riitta Molarius, Heta Kojo, Jari Schabel, Sirra Toivonen, Jaana Keränen, Johanna Ludvigsen, Andrea Vajda, Heikki Tuomenvirta, Ilkka Juga, Pertti Nurmi, Jenni Rauhala, Frank Rehm, Thomas Gerz, Thorsten Muehlhausen, Juha Schweighofer, Silas Michaelides, Matheos Papadakis, Nikolai Dotzek (†), Pieter Groenemeijer.

  7. Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index.


    Acharya, U Rajendra; Mookiah, Muthu Rama Krishnan; Koh, Joel E W; Tan, Jen Hong; Bhandary, Sulatha V; Rao, A Krishna; Fujita, Hamido; Hagiwara, Yuki; Chua, Chua Kuang; Laude, Augustinus


    Posterior Segment Eye Diseases (PSED) namely Diabetic Retinopathy (DR), glaucoma and Age-related Macular Degeneration (AMD) are the prime causes of vision loss globally. Vision loss can be prevented, if these diseases are detected at an early stage. Structural abnormalities such as changes in cup-to-disc ratio, Hard Exudates (HE), drusen, Microaneurysms (MA), Cotton Wool Spots (CWS), Haemorrhages (HA), Geographic Atrophy (GA) and Choroidal Neovascularization (CNV) in PSED can be identified by manual examination of fundus images by clinicians. However, manual screening is labour-intensive, tiresome and time consuming. Hence, there is a need to automate the eye screening. In this work Bi-dimensional Empirical Mode Decomposition (BEMD) technique is used to decompose fundus images into 2D Intrinsic Mode Functions (IMFs) to capture variations in the pixels due to morphological changes. Further, various entropy namely Renyi, Fuzzy, Shannon, Vajda, Kapur and Yager and energy features are extracted from IMFs. These extracted features are ranked using Chernoff Bound and Bhattacharyya Distance (CBBD), Kullback-Leibler Divergence (KLD), Fuzzy-minimum Redundancy Maximum Relevance (FmRMR), Wilcoxon, Receiver Operating Characteristics Curve (ROC) and t-test methods. Further, these ranked features are fed to Support Vector Machine (SVM) classifier to classify normal and abnormal (DR, AMD and glaucoma) classes. The performance of the proposed eye screening system is evaluated using 800 (Normal=400 and Abnormal=400) digital fundus images and 10-fold cross validation method. Our proposed system automatically identifies normal and abnormal classes with an average accuracy of 88.63%, sensitivity of 86.25% and specificity of 91% using 17 optimal features ranked using CBBD and SVM-Radial Basis Function (RBF) classifier. Moreover, a novel Retinal Risk Index (RRI) is developed using two significant features to distinguish two classes using single number. Such a system helps to reduce eye

  8. Ligand Binding and Activation of PPARγ by Firemaster® 550: Effects on Adipogenesis and Osteogenesis in Vitro

    PubMed Central

    Pillai, Hari K.; Fang, Mingliang; Beglov, Dmitri; Kozakov, Dima; Vajda, Sandor; Stapleton, Heather M.; Webster, Thomas F.


    Background: The use of alternative flame retardants has increased since the phase out of pentabromodiphenyl ethers (pentaBDEs). One alternative, Firemaster® 550 (FM550), induces obesity in rats. Triphenyl phosphate (TPP), a component of FM550, has a structure similar to that of organotins, which are obesogenic in rodents. Objectives: We tested the hypothesis that components of FM550 are biologically active peroxisome proliferator-activated receptor γ (PPARγ) ligands and estimated indoor exposure to TPP. Methods: FM550 and its components were assessed for ligand binding to and activation of human PPARγ. Solvent mapping was used to model TPP in the PPARγ binding site. Adipocyte and osteoblast differentiation were assessed in bone marrow multipotent mesenchymal stromal cell models. We estimated exposure of children to TPP using a screening-level indoor exposure model and house dust concentrations determined previously. Results: FM550 bound human PPARγ, and binding appeared to be driven primarily by TPP. Solvent mapping revealed that TPP interacted with binding hot spots within the PPARγ ligand binding domain. FM550 and its organophosphate components increased human PPARγ1 transcriptional activity in a Cos7 reporter assay and induced lipid accumulation and perilipin protein expression in BMS2 cells. FM550 and TPP diverted osteogenic differentiation toward adipogenesis in primary mouse bone marrow cultures. Our estimates suggest that dust ingestion is the major route of exposure of children to TPP. Conclusions: Our findings suggest that FM550 components bind and activate PPARγ. In addition, in vitro exposure initiated adipocyte differentiation and antagonized osteogenesis. TPP likely is a major contributor to these biological actions. Given that TPP is ubiquitous in house dust, further studies are warranted to investigate the health effects of FM550. Citation: Pillai HK, Fang M, Beglov D, Kozakov D, Vajda S, Stapleton HM, Webster TF, Schlezinger JJ. 2014