926 resultados para lanthanum compounds


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In our study we use a kernel based classification technique, Support Vector Machine Regression for predicting the Melting Point of Drug – like compounds in terms of Topological Descriptors, Topological Charge Indices, Connectivity Indices and 2D Auto Correlations. The Machine Learning model was designed, trained and tested using a dataset of 100 compounds and it was found that an SVMReg model with RBF Kernel could predict the Melting Point with a mean absolute error 15.5854 and Root Mean Squared Error 19.7576

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Nearly half of lanthanum sites in lanthanum manganites were substituted with monovalent ion-sodium and the compound possessed distorted orthorhombic structure. Ferromagnetic ordering at 300K and the magnetic isotherms at different temperature ranges were analyzed for estimating magnetic entropy variation. Magnetic entropy change of 1.5 J kg 1 K 1 was observed near 300 K. An appreciable magnetocaloric effect was also observed for a wide range of temperatures near 300K for small magnetic field variation. Heat capacity was measured for temperatures lower than 300K and the adiabatic temperature change increases with increase in temperature with a maximum of 0.62K at 280 K

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A set of parametrized equations has been published by Bratsch and Lagowski for calculating thermodynamic properties of the lanthanides, actinides, element 104, and certainrelated elements. Since these equations were applied to element 104, new values for the first four ionization energies and radii of the ions of charge +1, +2, +3, and +4 have been calculated for this element. The parametrized equations are used here with these new values to calculate some thermodynamic properties of element 104.

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Aziridine, Stickstoffanaloga der Epoxide, können regio- und stereoselektive Ringöffnungsreaktionen eingehen, wodurch ihnen als „building blocks“ in der Organischen Synthese eine große Bedeutung zukommt. In dieser Arbeit wurden unterschiedliche N-Aminoverbindungen synthetisiert sowie die Anwendungsmöglichkeit dieser Hydrazinderivate als Stickstoffquellen in Aziridinierungen von Olefinen untersucht. In der vorliegenden Dissertation wurde eine neue Methode zur Darstellung von N-Aminosuccinimid entwickelt und die Einsatzmöglichkeit als Stickstoffquelle in Aziridinierungsreaktionen in einer Reihe von Umsetzungen mit funktionalisierten ebenso wie mit nicht-funktionalisierten Olefinen demonstriert. Die ableitbaren Aziridine wurden hierbei in Ausbeuten von bis zu 80 % erhalten. In der Aziridinierungsreaktion von N-Aminosuccinimid mit 4,7-Dihydro-2-isopropyl-1,3-dioxepin resultieren bicyclische Aziridinierungsprodukte, die als endo/exo-Isomere in einem 1:1-Verhältnis anfallen. Es ist in dieser Arbeit gelungen, die Isomere in guten Ausbeuten zu erhalten, sie säulenchromatographisch zu trennen und ihre Konfiguration im festen Zustand mittels Kristallstrukturanalyse eindeutig zu bestimmen. Enantiomerenangereicherte Olefine, wie z. B. in 2-Position alkylsubstituierte 5-Methyl-4H-1,3-dioxine mit Enantiomerenüberschüssen von 92% ee liefern in der Aziridinierung mit N-Aminosuccinimid und Iodosylbenzol ein 4-Methyl-1,3-oxazolidin-4-carbaldehydderivat in einer zweistufigen Reaktion- der Aziridinierung und einer Umlagerung- ein 4-Methyl-1,3-oxazolidin-4-carbaldehydderivat. Für die Diastereoselektivität des Aziridinierungsschrittes wurde 65 % de bestimmt. In einer neuen Synthese über zwei Stufen ausgehend von (+)-3,4-Dimethoxysuccinanhydrid konnte ein chiraler Stickstoffüberträger - (+)-N-Amino-3,4-dimethoxysuccinimid - in Ausbeuten bis zu 86 % synthetisiert. Die Umsetzung dieser optisch aktiven Stickstoffquelle mit einer Vielzahl prochiraler Alkene führt zu diastereomeren Aziridinen in Ausbeuten bis zu 65% und Diastereoselektivitäten von bis zu 66% de. Anhand ausgewählter Verbindungen konnten die Absolutkonfigurationen der Reaktionsprodukte mittels Kristallstrukturanalyse eindeutig geklärt werden.

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In this contribution, we present a systematic investigation on a series of spiroquaterphenyl compounds optimised for solid state lasing in the near ultraviolet (UV). Amplified spontaneous emission (ASE) thresholds in the order of 1 μJ/cm2 are obtained in neat (undiluted) films and blends, with emission peaks at 390 1 nm for unsubstituted and meta-substituted quaterphenyls and 400 4 nm for para-ether substituted quaterphenyls. Mixing with a transparent matrix retains a low threshold, shifts the emission to lower wavelengths and allows a better access to modes having their intensity maximum deeper in the film. Chemical design and blending allow an independent tuning of optical and processing properties such as the glass transition.

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This study analyzes the linear relationship between climate variables and milk components in Iran by applying bootstrapping to include and assess the uncertainty. The climate parameters, Temperature Humidity Index (THI) and Equivalent Temperature Index (ETI) are computed from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis (2002–2010). Milk data for fat, protein (measured on fresh matter bases), and milk yield are taken from 936,227 milk records for the same period, using cows fed by natural pasture from April to September. Confidence intervals for the regression model are calculated using the bootstrap technique. This method is applied to the original times series, generating statistically equivalent surrogate samples. As a result, despite the short time data and the related uncertainties, an interesting behavior of the relationships between milk compound and the climate parameters is visible. During spring only, a weak dependency of milk yield and climate variations is obvious, while fat and protein concentrations show reasonable correlations. In summer, milk yield shows a similar level of relationship with ETI, but not with temperature and THI. We suggest this methodology for studies in the field of the impacts of climate change and agriculture, also environment and food with short-term data.

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Todas las sustancias están hechas de elementos y compuestos, ó de una mezcla de los dos y su estudio forma parte de la química. Este texto nos permite conocer cómo ésta se desarrolla no sólo en los laboratorios y entre científicos, sino también en fábricas y plantas químicas, y con múltiples aplicaciones: en la fabricación de fibras sintéticas para los tejidos, de explosivos para los fuegos artificiales, de disolventes para las pinturas, de fertilizantes para los cultivos y de medicamentos para tratar enfermedades.

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Explica los conceptos de materia, átomo y molécula, así cómo las propiedades de cada uno de ellos, y los estados en que se puede encontrar la materia en la Tierra: sólido, líquido y gaseoso. También, se explican las diferencias entre los elementos: calcio, potasio, sodio, etc., los compuestos: oxígeno, bicarbonato sódico, y la mezcla de ambos: suspensión y solucion; y se muestra la tabla periódica de los elementos. Está adaptado a alumnos de once a catorce años, que cursan la etapa 3 (Key Stage 3 del curriculo nacional inglés.

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L'activació d'oxigen que té lloc en els éssers vius constitueix una font d'inspiració pel desenvolupament d'alternatives als oxidants tradicionals, considerats altament tòxics i nocius. En aquesta treball s'utilitzen compostos sintètics com a models del centre actiu de proteïnes dinuclears de coure i mononuclears de ferro de tipus no-hemo que participen en l'activació d'oxigen en els éssers vius. Els sistemes dinuclears de coure mostren un centre de tipus coure(III) bis(oxo) que és capaç de dur a terme l'ortho-hidroxilació de fenols de manera similar a la reacció que catalitza la proteïna tirosinasa. Per altra banda, els sistemes de ferro desenvolupats en aquest treball actuen com a models de les dioxigenases de Rieske i poden dur a terme l'hidroxilació estereoespecífica d'alcans i l'epoxidació i cis-dihidroxilació d'olefines utilitzant peròxid d'hidrogen com a agent oxidant. Tot plegat demostra que el desenvolupament de sistemes model constitueix una bona estratègia per l'estudi dels sistemes naturals.

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Des del descobriment del buckminster ful.lerè el 1985, s'ha despertat un interés enorme per entendre la reactivitat química així com les propietats d'aquests compostos. La funcionalització exoèdrica del ful.lerè més abundant, el C60, està força ben establerta. Tanmateix, la investigació en aquest camp encara continua oberta ja que s'han sintetitzat una gran varietat de derivats molt prometedors donades les seves futures aplicacions. La tesi comprèn quinze capítols que contenen set publicacions relacionades. Els primers dos estudis es basen en la reacció Diels-Alder sobre els anomenats metal.loful.lerens endoèdrics TNT X3N@C78, X= Sc, Y. Aquest projecte de investigació està motivat pel desconeixament existent sobre les possibles conseqüències de l'encapsulació del grup X3N. El tercer estudi descriu minuciosament els canvis detectats en la funcionalització exoèdrica un cop s'ha produït l'encapsulació dels diferents gasos nobles. En aquesta tesi s'estudia en detall l'ús de l'aproximació ONIOM per a estudiar reaccions de cicloaddició en compostos ful.lerènics. Els resultats d'aquest projecte són d'alt interès per a la realització dels estudis posteriors sobre la reacció de Diels-Alder i la 1,3-dipolar en ful.lerens i derivats. Finalment, l'última part d'aquesta tesi es basa en les propietats antioxidants de determinats ful.lerens. A l'últim treball inclòs en aquesta tesi s'estudia en detall el mecanismo de reacció per a la eliminació del ió superòxid en presència de ful.lerens.

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Visual exploration of scientific data in life science area is a growing research field due to the large amount of available data. The Kohonen’s Self Organizing Map (SOM) is a widely used tool for visualization of multidimensional data. In this paper we present a fast learning algorithm for SOMs that uses a simulated annealing method to adapt the learning parameters. The algorithm has been adopted in a data analysis framework for the generation of similarity maps. Such maps provide an effective tool for the visual exploration of large and multi-dimensional input spaces. The approach has been applied to data generated during the High Throughput Screening of molecular compounds; the generated maps allow a visual exploration of molecules with similar topological properties. The experimental analysis on real world data from the National Cancer Institute shows the speed up of the proposed SOM training process in comparison to a traditional approach. The resulting visual landscape groups molecules with similar chemical properties in densely connected regions.

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Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques particularly relevant. In this paper, we present a distributed approach to the frequent subgraph mining problem to discover interesting patterns in molecular compounds. The problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main aspects of the proposed distributed algorithm, namely a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiver-initiated, load balancing algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening dataset, where the approach attains close-to linear speedup in a network of workstations.

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This paper considers the various complex changes that occur to nitrogen (N) containing compounds in forages through the processes of ensiling, rumen degradation and microbial synthesis, post-ruminal digestion and absorption and synthesis into milk protein. Particular emphasis is placed on reviewing recent data on the efficiency of utilisation of N-containing compounds in silages by rumen microbes, since low efficiency here is believed to be a major cause of large N losses to the environment on some silage-based diets. Data are reviewed which show that although rumen degradation of N compounds in silage is rapid and extensive, up to 10% of the soluble N can escape the rumen by being associated with the liquid phase. There is now firm evidence that the composition of the amino acids (AAs) absorbed is heavily dependent on the process of ensiling and that witting or use of certain silage additives conserve the initial amino acid profile of the forage. This provides an opportunity to manipulate the amino acid supply to better match demand thus potentially enhancing utilisation. This review confirms that utilisation of the N fractions in grass and legume silages in particular, is poor and the efficiency of microbial protein synthesis (EMPS) is consistently higher on maize silage-based diets. It is concluded that the way in which grass and legume silages in particular are produced and used in the future needs a radical rethink. New research needs to be aimed at enhancing the utilisation of N in the rumen through a better understanding of N/carbohydrate relationships and the ability of forages to supply degraded carbohydrate. Also more emphasis is needed on understanding of the potentially different role of the different N fractions that exist in silages. (C) 2004 Elsevier B.V. All rights reserved.

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Rhizobium leguminosarum synthesizes polyhydroxybutyrate and glycogen as its main carbon storage compounds. To examine the role of these compounds in bacteroid development and in symbiotic efficiency, single and double mutants of R. legumosarum bv. viciae were made which lack polyhydroxybutyrate synthase (phaC), glycogen synthase (glgA), or both. For comparison, a single phaC mutant also was isolated in a bean-nodulating strain of R. leguminosarum bv. phaseoli. In one large glasshouse trial, the growth of pea plants inoculated with the R. leguminosarum bv. viciae phaC mutant were significantly reduced compared with wild-type-inoculated plants. However, in subsequent glasshouse and growth-room studies, the growth of pea plants inoculated with the mutant were similar to wildtype-inoculated plants. Bean plants were unaffected by the loss of polyhydroxybutyrate biosynthesis in bacteroids. Pea plants nodulated by a glycogen synthase mutants or the glgA/phaC double mutant, grew as well as the wild type in growth-room experiments. Light and electron micrographs revealed that pea nodules infected with the glgA mutant accumulated large amounts of starch in the II/III interzone. This suggests that glycogen may be the dominant carbon storage compound in pea bacteroids. Polyhydroxybutyrate was present in bacteria in the infection thread of pea plants but was broken down during bacteroid formation. In nodules infected with a phaC mutant of R. leguminosarum bv. viciae, there was a drop in the amount of starch in the II/III interzone, where bacteroids form. Therefore, we propose a carbon burst hypothesis for bacteroid formation, where polyhydroxybutyrate accumulated by bacteria is degraded to fuel bacteroid differentiation.