11 resultados para Anarchist ideas, intellectuals, anarchist literature.

em Cochin University of Science


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The thesis deals with our studies on the synthesis and elucidation of structure of some metal complexes of dithio ligands, such as the dithiocarbamates, xanthates and 2-aminocyclopent-1-ene-1-dithiocarboxylate and its N-alkyl derivatives.2-Aminocyclopent-1-ene-1-dithiocarboxylate (ACDA) is an interesting ligand, because of its potential dual capability of bonding between the metal and the ligand. Since the earlier reports on the complexes of ACDA contain contradictory ideas on the nature of its bonding, it was thought worthwhile to undertake a detailed and systematic study of these type of complexes. As the ACDA complexes have very low solubilities in solvents like chloroform, we have used the isopropyl derivative of ACDA as the ligand. The increased solubility of these complexes have made it possible to investigate their NMR and solution electronic spectra.The complexes of this ligand have not yet been reported in the literature.We have synthesised some new mixed ligand complexes of dithiocarbamates by reacting bis(dithiocarbamato)-µ-dichloro dicopper complexes (obtained by the reaction of mixed benzoic dithiocarbamic anhydride and copper(II) chloride) with ACDA or its N-alkyl derivatives.Interactions of metal halides with the mixed anhydrides formed from benzoylchloride and xanthates have also been investigated. Novel complexes of the type, [Cu2(RXant)CI] (R=i-Bu, i-Pr, n-Bu or n-Pr)) have been isolated from the reaction of copper(II) chloride and the mixed anhydride, and these reactions appear to be like the clock reactions reported in the literature.It also deal with the characterisation of the complexes of the type [Hg(R2d t c )X] (X=Cl, Br or 1),[Cu3(R2dtc)6][Cu2Br6] and [Cu(R2dtc)Cl2](R2=Me2,Et2,Pip,Morph or Pyrr)respectively, synthesised by simple and novel routes, different from those reported earlier.

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To ensure quality of machined products at minimum machining costs and maximum machining effectiveness, it is very important to select optimum parameters when metal cutting machine tools are employed. Traditionally, the experience of the operator plays a major role in the selection of optimum metal cutting conditions. However, attaining optimum values each time by even a skilled operator is difficult. The non-linear nature of the machining process has compelled engineers to search for more effective methods to attain optimization. The design objective preceding most engineering design activities is simply to minimize the cost of production or to maximize the production efficiency. The main aim of research work reported here is to build robust optimization algorithms by exploiting ideas that nature has to offer from its backyard and using it to solve real world optimization problems in manufacturing processes.In this thesis, after conducting an exhaustive literature review, several optimization techniques used in various manufacturing processes have been identified. The selection of optimal cutting parameters, like depth of cut, feed and speed is a very important issue for every machining process. Experiments have been designed using Taguchi technique and dry turning of SS420 has been performed on Kirlosker turn master 35 lathe. Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. By using S/N analysis the optimum machining parameters from the experimentation is obtained.Optimization algorithms begin with one or more design solutions supplied by the user and then iteratively check new design solutions, relative search spaces in order to achieve the true optimum solution. A mathematical model has been developed using response surface analysis for surface roughness and the model was validated using published results from literature.Methodologies in optimization such as Simulated annealing (SA), Particle Swarm Optimization (PSO), Conventional Genetic Algorithm (CGA) and Improved Genetic Algorithm (IGA) are applied to optimize machining parameters while dry turning of SS420 material. All the above algorithms were tested for their efficiency, robustness and accuracy and observe how they often outperform conventional optimization method applied to difficult real world problems. The SA, PSO, CGA and IGA codes were developed using MATLAB. For each evolutionary algorithmic method, optimum cutting conditions are provided to achieve better surface finish.The computational results using SA clearly demonstrated that the proposed solution procedure is quite capable in solving such complicated problems effectively and efficiently. Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. From the results it has been observed that PSO provides better results and also more computationally efficient.Based on the results obtained using CGA and IGA for the optimization of machining process, the proposed IGA provides better results than the conventional GA. The improved genetic algorithm incorporating a stochastic crossover technique and an artificial initial population scheme is developed to provide a faster search mechanism. Finally, a comparison among these algorithms were made for the specific example of dry turning of SS 420 material and arriving at optimum machining parameters of feed, cutting speed, depth of cut and tool nose radius for minimum surface roughness as the criterion. To summarize, the research work fills in conspicuous gaps between research prototypes and industry requirements, by simulating evolutionary procedures seen in nature that optimize its own systems.

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The title of the study is ''Toxicology Literature: An Informetric Analysis".In the field of Toxicology, the interdisciplinary research resulted in 'information fragmentation' of the basic subject to environmental, medical and economic toxicology. The interest in collaborative research resulted in the transdisciplinary growth of Toxicology which ultimately resulted in the scatter of literature.For the purpose of present study Toxicology is defined as the physical and chemical aspects of all poisons affecting environmental, economical and medical aspects of human life. Informetrics is "the use and development of a variety of measures to study and analyse several properties of information in general and documents in particular."The present study fled light on the main fields of Toxicology research as well as the important primary journals through which the results are being published. The authorshippattern, subject-wise scatter, country-wise, language-wise and growth pattern, self-citation, bibliographic coupling of the journals were studied. The study will be of great use in forrnulatinq the acquisition policy of documents in a library. The present study is useful in identifying obsolate journals so that they can be discarded from the collection

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Reliability analysis is a well established branch of statistics that deals with the statistical study of different aspects of lifetimes of a system of components. As we pointed out earlier that major part of the theory and applications in connection with reliability analysis were discussed based on the measures in terms of distribution function. In the beginning chapters of the thesis, we have described some attractive features of quantile functions and the relevance of its use in reliability analysis. Motivated by the works of Parzen (1979), Freimer et al. (1988) and Gilchrist (2000), who indicated the scope of quantile functions in reliability analysis and as a follow up of the systematic study in this connection by Nair and Sankaran (2009), in the present work we tried to extend their ideas to develop necessary theoretical framework for lifetime data analysis. In Chapter 1, we have given the relevance and scope of the study and a brief outline of the work we have carried out. Chapter 2 of this thesis is devoted to the presentation of various concepts and their brief reviews, which were useful for the discussions in the subsequent chapters .In the introduction of Chapter 4, we have pointed out the role of ageing concepts in reliability analysis and in identifying life distributions .In Chapter 6, we have studied the first two L-moments of residual life and their relevance in various applications of reliability analysis. We have shown that the first L-moment of residual function is equivalent to the vitality function, which have been widely discussed in the literature .In Chapter 7, we have defined percentile residual life in reversed time (RPRL) and derived its relationship with reversed hazard rate (RHR). We have discussed the characterization problem of RPRL and demonstrated with an example that the RPRL for given does not determine the distribution uniquely

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Ethnic/Minority entrepreneur is a business owner who does not represent the majority population of a country. Ethnic/Minority entrepreneurship can bring benefits to individual, society, region, economy, and globe too. So, understanding the importance of ethnic/minority entrepreneurship will really be useful to all the stakeholders. The unique culture and value system of ethnic minorities are the most wanted characteristics for any successful entrepreneur in general. Many industrial nations like U.S, U.K., Germany, etc. have utilised the ethnic minorities to build their economy. The future of the minority businesses looks bright as the world economy is booming, availability of experienced and already successful minority entrepreneurs as role models, and institutional support services. In this paper, literature relating to the benefits of ethnic and minority entrepreneurship is reviewed to understand its magnitude of benefits.

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HINDI