998 resultados para winged tree, floral elements
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In forestry, availability of healthy seeds is an important factor in raising planting stock. Initial seed health and storage conditions are the major factors governing the germinability of seeds. Like seeds of agricultural and horticultural crops, forest tree seeds are also liable to be affected by micro-organisms during storage, which affects the germination, and reduces the viability. Further introduction of seed-borne diseases into newly sown crops/areas on account of using unhealthy seeds is also not ruled out. Availability of healthy stock of seedlings is intrinsic for raising plantations and to meet this requirement elimination of nursery diseases by appropriate chemicals is of prime imortance. As exotic tree species may become susceptible to various native pathogens, it is generally considered better to select indigenous tree species for large scale plantations as they are well adapted to local environment. However, before taking up large scale afforestation progranme involving any indigenous tree species, it is essential to have knowledge about seed disorders and seedling diseases and their management. with a View to select appropriate tree species with fewer seed disorders and seedling disease problems for use in further plantation programme, four indigenous tree species such as Albizia odoratissima (L.f) Benth., Lagerstroemia microcazpa Wt., Pterocazpus marsupiwn Roxb. and Xylia xylocarpa (Roxb.) Taub. were evaluated to meet the above parameters
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A comparative study of acid-base properties and catalytic activity of Sn-La and Sn-Sm mixed oxides and their corresponding sulfate modified analogues are reported in this thesis. The catalytic activity and product selectivity in the decomposition of alcohols are correlated with the acid-base and redox properties of the catalyst systems under study The effect of catalyst preparation, pretreatment and various reaction parameters on the catalytic activity of sulfate modified oxides is investigated in the oxidative dehydrogenation reactions The experimental conditions are optimised to synthesise industrially important organic chemicals viz. 2,6 xylenol, o-cresol, N-methylanilne and N,N-dimethylaniline employing the mixed oxide systems. The effect of sulfate treatment on the catalytic activity of these systems in the alkylation reactions of phenol, anisole and aniline is also investigated and the merits and demerits of sulfate treatment are highlighted.
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This thesis attempts to investigate the problems associated with such schemes and suggests a software architecture, which is aimed towards achieving a meaningful discovery. Usage of information elements as a modelling base for efficient information discovery in distributed systems is demonstrated with the aid of a novel conceptual entity called infotron. The investigations are focused on distributed systems and their associated problems. The study was directed towards identifying suitable software architecture and incorporating the same in an environment where information growth is phenomenal and a proper mechanism for carrying out information discovery becomes feasible. An empirical study undertaken with the aid of an election database of constituencies distributed geographically, provided the insights required. This is manifested in the Election Counting and Reporting Software (ECRS) System. ECRS system is a software system, which is essentially distributed in nature designed to prepare reports to district administrators about the election counting process and to generate other miscellaneous statutory reports.
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Thomas-Fermi theory is developed to evaluate nuclear matrix elements averaged on the energy shell, on the basis of independent particle Hamiltonians. One- and two-body matrix elements are compared with the quantal results, and it is demonstrated that the semiclassical matrix elements, as function of energy, well pass through the average of the scattered quantum values. For the one-body matrix elements it is shown how the Thomas-Fermi approach can be projected on good parity and also on good angular momentum. For the two-body case, the pairing matrix elements are considered explicitly.
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Catalysis research underpins the science of modern chemical processing and fuel technologies. Catalysis is commercially one of the most important technologies in national economies. Solid state heterogeneous catalyst materials such as metal oxides and metal particles on ceramic oxide substrates are most common. They are typically used with commodity gases and liquid reactants. Selective oxidation catalysts of hydrocarbon feedstocks is the dominant process of converting them to key industrial chemicals, polymers and energy sources.[1] In the absence of a unique successfiil theory of heterogeneous catalysis, attempts are being made to correlate catalytic activity with some specific properties of the solid surface. Such correlations help to narrow down the search for a good catalyst for a given reaction. The heterogeneous catalytic performance of material depends on many factors such as [2] Crystal and surface structure of the catalyst. Thermodynamic stability of the catalyst and the reactant. Acid- base properties of the solid surface. Surface defect properties of the catalyst.Electronic and semiconducting properties and the band structure. Co-existence of dilferent types of ions or structures. Adsorption sites and adsorbed species such as oxygen.Preparation method of catalyst , surface area and nature of heat treatment. Molecular structure of the reactants. Many systematic investigations have been performed to correlate catalytic performances with the above mentioned properties. Many of these investigations remain isolated and further research is needed to bridge the gap in the present knowledge of the field.
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Decision trees are very powerful tools for classification in data mining tasks that involves different types of attributes. When coming to handling numeric data sets, usually they are converted first to categorical types and then classified using information gain concepts. Information gain is a very popular and useful concept which tells you, whether any benefit occurs after splitting with a given attribute as far as information content is concerned. But this process is computationally intensive for large data sets. Also popular decision tree algorithms like ID3 cannot handle numeric data sets. This paper proposes statistical variance as an alternative to information gain as well as statistical mean to split attributes in completely numerical data sets. The new algorithm has been proved to be competent with respect to its information gain counterpart C4.5 and competent with many existing decision tree algorithms against the standard UCI benchmarking datasets using the ANOVA test in statistics. The specific advantages of this proposed new algorithm are that it avoids the computational overhead of information gain computation for large data sets with many attributes, as well as it avoids the conversion to categorical data from huge numeric data sets which also is a time consuming task. So as a summary, huge numeric datasets can be directly submitted to this algorithm without any attribute mappings or information gain computations. It also blends the two closely related fields statistics and data mining
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This paper highlights the prediction of Learning Disabilities (LD) in school-age children using two classification methods, Support Vector Machine (SVM) and Decision Tree (DT), with an emphasis on applications of data mining. About 10% of children enrolled in school have a learning disability. Learning disability prediction in school age children is a very complicated task because it tends to be identified in elementary school where there is no one sign to be identified. By using any of the two classification methods, SVM and DT, we can easily and accurately predict LD in any child. Also, we can determine the merits and demerits of these two classifiers and the best one can be selected for the use in the relevant field. In this study, Sequential Minimal Optimization (SMO) algorithm is used in performing SVM and J48 algorithm is used in constructing decision trees.
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Bei Dämmen auf wenig tragfähigem Untergrund ist es zwischenzeitlich Stand der Technik, an der Dammbasis eine Bewehrung aus hochzugfesten Geokunststoffen (Gewebe oder Geogitter) einzulegen. Dabei können die Bewehrungslagen direkt auf den weichen Boden oder über Pfahlelementen angeordnet werden, die die Dammlasten in tiefere, tragfähigere Schichten abtragen. Die horizontale Bewehrung an der Dammbasis hat die Aufgabe, die vertikalen Dammlasten und die nach außen wirkenden Spreizkräfte aufzunehmen. Dies ist besonders für bewehrte Tragschichten über Pfählen von großer Bedeutung, da sonst die Pfähle/Säulen eine Biegebeanspruchung erhalten, die sie aufgrund des geringen Durchmessers (oftmals unbewehrt) nicht aufnehmen können. Abgesicherte wissenschaftliche Erkenntnisse über Größe und Verteilung der Spreizspannung in Höhe ober- und unterhalb der Bewehrungslagen liegen derzeit noch nicht vor, aus denen dann auch die Beanspruchung abzuleiten ist, die aus der Spreizwirkung bei der Geokunststoffbemessung zu berücksichtigen ist. Herr Dr.-Ing. Gourge Fahmi hat dafür zunächst den Kenntnisstand zur Spreizbeanspruchung ohne und mit Bewehrung sowie ohne und mit Pfahlelementen zusammengefasst. Ein wesentlicher Teil einer wissenschaftlichen Untersuchungen stellt die Modellversuche in einem relativ großen Maßstab dar, die u. a. auch zur Validierung von numerischen Berechnungen zur Fragestellung vorgesehen waren. Dabei konnte nach gewissen Parameteranpassungen überwiegend eine gute Übereinstimmung zwischen Modellversuchen und FEM-Berechnungen erreicht werden. Lediglich bei den Dehnungen bzw. Zugkräften in den Geogittern über Pfahlelementen ergab die FEM bei dem verwendeten Programmsystem viel zu niedrige Werte. Es wurde dazu in der Arbeit anhand eigener Untersuchungen und Vergleichsergebnissen aus der Literatur eine Hypothese formuliert und zunächst die Berechnungsergebnisse mit einem Faktor angepasst. Mit den durchgeführten Verifikationen stand damit dann ein weitestgehend abgesichertes numerisches Berechnungsmodell zur Verfügung. Aufbauend auf diesen Vorarbeiten konnten Parameterstudien mit numerischen und analytischen Methoden zur Spreizproblematik durchgeführt werden. Dabei wurden die Randbedingungen und Parametervariationen sinnvoll und für die Fragestellung zutreffend gewählt. Die numerischen Verfahren ergaben vertiefte Erkenntnisse zur Mechanik und zum Verhalten der Konstruktion. Die analytischen Vergleichsberechnungen validierten primär die Güte dieser vereinfachten Ansätze für praktische Berechnungen. Zusammenfassend wurde festgestellt, dass erwartungsgemäß die Spreizkräfte im Geogitter nahezu linear mit der Dammhöhe anwachsen. Von besonderer Bedeutung für die Größe der Spreizkräfte ist die Steifigkeit der Weichschichten. Dieser Parameter wird bei den bisher bekannten analytischen Berechnungsverfahren nicht berücksichtigt. Je weicher der Untergrund, je größer wird das Verhältnis zwischen Spreiz- und Membranbeanspruchung. Eine steilere Dammböschung hat erwartungsgemäß ebenfalls eine höhere Spreizwirkung zur Folge. Des Weiteren ergeben sich bei mehrlagigen Geogittern die höheren Beanspruchungen in der unteren Lage aus dem Membraneffekt und in der oberen Lage aus dem Spreizeffekt. Zu diesen Erkenntnissen wurden in der Arbeit erste Vorschläge für die praktischen Bemessungen gemacht, die aber noch weiter zu optimieren sind. Schließlich erfolgt von Herrn Fahmi eine Betrachtung der Pfahlelementbeanspruchung aus Pfahlkopfverschiebung und Biegemomenten. Dabei wurde ersichtlich, dass die Pfahlelemente bei hohen Dämmen erhebliche Beanspruchungen erhalten können, wenn relativ weicher Untergrund vorhanden ist, und es zeigt die Notwendigkeit entsprechend abgesicherter Bemessungsverfahren auf.
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We discuss the possibility of identifying superheavy elements from the observation of their M-shell x-ray spectra, which might occur during the collision of a superheavy element with a heavy target. The same question is discussed for the possible observation of the x-rays from the quasimolecule (quasi-superheavy element) which is formed during such a heavy-ion collision. It is shown that it is very difficult, if not impossible, to determine any information about the interesting quantum electrodynamical effects from the M-shell x-ray spectra of these quasimolecules.