1,246 research outputs found

    Substituent Effects in Thiophenes

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    He I and He II photoelectron spectra (UPS) of 2-acetyl and 2-cyano thiophene have been measured. The electronic strucutre of the title compounds and, in particular, the effect of substituents on the thiophene % orbitals is discussed on the basis of band widths, He I/He II intensities and semi-empirical MO calculations. Definite assignments are given for the two molecules, thus completing the previous work. The available results on 2- and 3-monosubstituted thiophenes have been compiled and rationalized

    The anomalous current multiplet in 6D minimal supersymmetry

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    For supersymmetric gauge theories with eight supercharges in four, five and six dimensions, a conserved current belongs to the linear multiplet. In the case of six-dimensional N=(1,0)\cal N=(1,0) Poincar\'e supersymmetry, we present a consistent deformation of the linear multiplet which describes chiral anomalies. This is achieved by developing a superform formulation for the deformed linear multiplet. In the abelian case, we compute a nonlocal effective action generating the gauge anomaly.Comment: 27 pages; V2: published versio

    Chiral anomalies in six dimensions from harmonic superspace

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    We develop a superfield approach to compute chiral anomalies in general N=(1,0){\cal N}=(1,0) supersymmetric gauge theories in six dimensions. Within the harmonic-superspace formulation for these gauge theories, the anomalous contributions to the effective action only come from matter and ghost hypermultiplets. By studying the short-distance behaviour of the propagator for the hypermultiplet coupled to a background vector multiplet, we compute the covariant and consistent chiral anomalies. We also provide a superform formulation for the non-abelian anomalous current multiplet in general N=(1,0){\cal N}=(1,0) supersymmetric gauge theories.Comment: 33 page

    The next generation of the relativistic nuclear energy density functionals

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    U ovom radu razvijamo novi nuklearni relativistički energijski funkcional gustoće. Relativistički energijski funkcionali gustoće su standardni alat u računima nuklearne strukture i daju sveobuhvatan opis nuklearnih osnovnih stanja i kolektivnih pobuđenja. Predloženi funkcional spada u klasu funkcionala s točkastim vezanjem, kod kojih se lagranžijan formulira preko nukleonskih polja i uključuje samo kontaktna vezanja između struja bilinearnih u Diracovom spinornom polju nukleona. Na temelju ovisnosti mikroskopskih nukleonskih vlastitih energija o gustoći u nuklearnoj materiji konstruirana je fenomenološka pretpostavka kako izgleda ovisnost funkcionala vezanja o gustoći. Na model je potom primjenjena optimizacijska shema koja se sastoji od minimizacije odgovarajuće X^­2 kaznene funkcije koristeći svojstva beskonačne nuklearne materije i konačnih jezgara. Nakon minimizacije provedena je i analiza kovarijanci koja uključuje procjene nepouzdanosti i koeficijenata korelacije. Optimizirani funkcional testiran je na nizu ilustrativnih računa svojstava osnovnih stanja sfernih i deformiranih jezgara kao što su energije vezanja, nabojni radijusi i parametri kvadrupolne deformacije. Dobivena teorijska predviđanja uspoređena su s dostupnim eksperimentalnim podacima i predviđanjima srodnog funkcionala iz klase točkastih vezanja, DD-PC1.In this work we construct a new relativistic nuclear energy density functional. Relativistic energy density functionals are a standard tool for nuclear structure calculations, providing a comprehensive description of nuclear ground states and collective excitations. The proposed functional belongs to a class of point-coupling functionals where a Lagrangian is formulated in terms of nucleon fields and includes only contact couplings between currents bilinear in the Dirac spinor field of the nucleon. Guided by the density dependence of microscopic nucleon self-energies in nuclear matter, a phenomenological ansatz for the density-dependent coupling functionals was constructed. An optimization scheme by minimizing a suitably constructed X^2 penalty function using properties of infinite nuclear matter and finite nuclei was implemented. After the minimization, a covariance analysis that included uncertainty estimates and correlation coefficients was made. The optimized functional was tested in a series of illustrative calculations of ground-state properties of spherical and deformed nuclei, including binding energies, charge radii and quadrupole deformation parameters. Theoretical predictions were compared to the available experimental data, as well as with the predictions of a similar point-coupling functional DD-PC1

    The next generation of the relativistic nuclear energy density functionals

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    U ovom radu razvijamo novi nuklearni relativistički energijski funkcional gustoće. Relativistički energijski funkcionali gustoće su standardni alat u računima nuklearne strukture i daju sveobuhvatan opis nuklearnih osnovnih stanja i kolektivnih pobuđenja. Predloženi funkcional spada u klasu funkcionala s točkastim vezanjem, kod kojih se lagranžijan formulira preko nukleonskih polja i uključuje samo kontaktna vezanja između struja bilinearnih u Diracovom spinornom polju nukleona. Na temelju ovisnosti mikroskopskih nukleonskih vlastitih energija o gustoći u nuklearnoj materiji konstruirana je fenomenološka pretpostavka kako izgleda ovisnost funkcionala vezanja o gustoći. Na model je potom primjenjena optimizacijska shema koja se sastoji od minimizacije odgovarajuće X^­2 kaznene funkcije koristeći svojstva beskonačne nuklearne materije i konačnih jezgara. Nakon minimizacije provedena je i analiza kovarijanci koja uključuje procjene nepouzdanosti i koeficijenata korelacije. Optimizirani funkcional testiran je na nizu ilustrativnih računa svojstava osnovnih stanja sfernih i deformiranih jezgara kao što su energije vezanja, nabojni radijusi i parametri kvadrupolne deformacije. Dobivena teorijska predviđanja uspoređena su s dostupnim eksperimentalnim podacima i predviđanjima srodnog funkcionala iz klase točkastih vezanja, DD-PC1.In this work we construct a new relativistic nuclear energy density functional. Relativistic energy density functionals are a standard tool for nuclear structure calculations, providing a comprehensive description of nuclear ground states and collective excitations. The proposed functional belongs to a class of point-coupling functionals where a Lagrangian is formulated in terms of nucleon fields and includes only contact couplings between currents bilinear in the Dirac spinor field of the nucleon. Guided by the density dependence of microscopic nucleon self-energies in nuclear matter, a phenomenological ansatz for the density-dependent coupling functionals was constructed. An optimization scheme by minimizing a suitably constructed X^2 penalty function using properties of infinite nuclear matter and finite nuclei was implemented. After the minimization, a covariance analysis that included uncertainty estimates and correlation coefficients was made. The optimized functional was tested in a series of illustrative calculations of ground-state properties of spherical and deformed nuclei, including binding energies, charge radii and quadrupole deformation parameters. Theoretical predictions were compared to the available experimental data, as well as with the predictions of a similar point-coupling functional DD-PC1

    News Cohesiveness: an Indicator of Systemic Risk in Financial Markets

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    Motivated by recent financial crises significant research efforts have been put into studying contagion effects and herding behaviour in financial markets. Much less has been said about influence of financial news on financial markets. We propose a novel measure of collective behaviour in financial news on the Web, News Cohesiveness Index (NCI), and show that it can be used as a systemic risk indicator. We evaluate the NCI on financial documents from large Web news sources on a daily basis from October 2011 to July 2013 and analyse the interplay between financial markets and financially related news. We hypothesized that strong cohesion in financial news reflects movements in the financial markets. Cohesiveness is more general and robust measure of systemic risk expressed in news, than measures based on simple occurrences of specific terms. Our results indicate that cohesiveness in the financial news is highly correlated with and driven by volatility on the financial markets

    Lansiranje delovnih nalogov v proizvodnjo lesnega podjetja z metodo večkriterijskega odločanja

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    Quality information is crucial for planning and running of production in wood industry companies. Information of crucial importance is the following: quality in the production process according to work orders and types of product, the information on the missing materials i.e. constituent parts according to projects i.e. work orders and the information on launching work orders into production. The method of multi-criteria decision-making was used for determining the order of launching group products into production. We studied three main criteria: market factors, organisation-production factors and economic factors. For computer support, we chose the computer programme DEXi, which represents the framework of the expert system for multi-criteria decision-making.Za planiranje in vodenje proizvodnje v lesnih podjetjih so ključne kakovostne informacije. Zelo pomembne so informacije o kakovosti v proizvodnem procesu glede na delovne naloge in vrste izdelkov, informacije o manjkajočih vrstah materialov oz. sestavnih delov glede na projekte oz. delovne naloge ter informacije o lansiranju delovnih nalogov v proizvodnjo. Metoda večkriterijskega odločanja nam je služila za določitev vrstnega reda lansiranja družin izdelkov v proizvodnjo. Proučevali smo tri glavne kriterije:trženjske dejavnike, organizacijsko-proizvodne dejavnike in ekonomske dejavnike. Za računalniško podporo smo izbrali programsko orodje DEXi, ki predstavlja lupino ekspertnega sistema za večkriterijsko odločanje

    ARTIFICIAL NEURAL NETWORKS APPLICATION TO PREDICTION OF ELECTRICITY CONSUMPTION

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    In this paper, we will present an artificial neural network (ANN) model trained to forecast hourly electricity consumption of energy in industry for a day-ahead. We will start with a brief analysis of the global electricity market with a special reference to the Serbian market. Next, the daily electricity consumption amounts between August 1st and December 19th 2019 will be analyzed using statistical tools. According to the obtained results, we will give predictions of our models, based on different number of previous days
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