The analysis of this thesis is a terrace in the operation system of Windows, and the server of Apache and the server of MySQL data bank foundation, use the PHP program language to design a practical thesis to examine to manage the system( Submissions Management System, SMS), use to the contributions of accepting everyone's thesis, and the thesis that will receive examines one by one in the most fast and convenient way, if through approve officially the qualified thesis and then can announce maturity to publish. We are divided into program to three zoneses piece to weave to write, is the governor of system, thesis respectively author and reviewing three most partses, must complete the software gearing of the construction system first first, then establish a diagram of the system, this program will develop with a diagram, establishing the five greatest data banks altogether, each data processing that data bank need when distinguishing be responsible for, and consider the detail of whole process and the demand of the employment, through the technique of the program design to let the governor of system can be easily fast of accept thesis the author's contributions, and fleetness of examine the thesis that submit manuscript. After whole system program plait write complete, will set the main program of the system and the set of the systems to the enactment file that file, data bank link, still have the dynamic state that the link of Windows need the link the file(*.DLL), take in to seal the load strike a bargain and can execute respectively filing(*.exe), let software use the person and do not need to give a lot of care to learn how enactment and data bank how after linking can use, and illustrates finally the system how to operate, toing provide to use the reference.

Doctor of Philosophy / The motivation for the research presented in this thesis stems from the recent availability of high frequency limit order book data, relative scarcity of studies employing such data, economic significance of transaction costs management, and a perceived potential of data mining for uncovering patterns and relationships not identified by the traditional top-down modelling approach. We analyse and build computational models for order submissions on the Australian Stock Exchange, an order-driven market with a public electronic limit order book. The focus of the thesis is on the trade implementation problem faced by a trader who wants to transact a buy or sell order of a certain size. We use two approaches to build our models, top-down and bottom-up. The traditional, top-down approach is applied to develop an optimal order submission plan for an order which is too large to be traded immediately without a prohibitive price impact. We present an optimisation framework and some solutions for non-stationary and non-linear price impact and price impact risk. We find that our proposed transaction costs model produces fairly good forecasts of the variance of the execution shortfall. The second, bottom-up, or data mining, approach is employed for trade sign inference, where trade sign is defined as the side which initiates both a trade and the market order that triggered the trade. We are interested in an endogenous component of the order flow, as evidenced by the predictable relationship between trade sign and the variables used to infer it. We want to discover the rules which govern the trade sign, and establish a connection between them and two empirically observed regularities in market order submissions, competition for order execution and transaction cost minimisation. To achieve the above aims we first use exploratory analysis of trade and limit order book data. In particular, we conduct unsupervised clustering with the self-organising map technique. The visualisation of the transformed data reveals that buyer-initiated and seller-initiated trades form two distinct clusters. We then propose a local non-parametric trade sign inference model based on the k-nearest-neighbour classifier. The best k-nearest-neighbour classifier constructed by us requires only three predictor variables and achieves an average out-of-sample accuracy of 71.40% (SD=4.01%)1, across all of the tested stocks. The best set of predictor variables found for the non-parametric model is subsequently used to develop a piecewise linear trade sign model. That model proves superior to the k-nearest-neighbour classifier, and achieves an average out-of-sample classification accuracy of 74.38% (SD=4.25%). The result is statistically significant, after adjusting for multiple comparisons. The overall classification performance of the piecewise linear model indicates a strong dependence between trade sign and the three predictor variables, and provides evidence for the endogenous component in the order flow. Moreover, the rules for trade sign classification derived from the structure of the piecewise linear model reflect the two regularities observed in market order submissions, competition for order execution and transaction cost minimisation, and offer new insights into the relationship between them. The obtained results confirm the applicability and relevance of data mining for the analysis and modelling of stock market order submissions.

180 students from the University of Canterbury were randomly assigned to reading and evaluating 4 counterbalanced abstracts under the cover story of a departmental journal submission procedure. This study tested whether the number of authors assigned to a journal submission is an influential factor on the acceptance rate of a submission regardless of the quality of the abstract. Also, it assessed whether the influence of a number of authors on the chance of acceptance interacts with the acceptance rate of the journal. In other words, the study investigated not only the extent to which number of authors influences acceptance regardless of quality, but how much of an influence this has for which kind of journals (in terms of the journal’s acceptance rate). The study also measured how much individual personality variables such as guilt-proneness and tendency to adhere to descriptive norms influences a reviewer’s willingness to accept a journal submission. Results found that number of authors had a significant effect on evaluation. Possible reasons and study limitations were discussed.

Doctor of Philosophy / The motivation for the research presented in this thesis stems from the recent availability of high frequency limit order book data, relative scarcity of studies employing such data, economic significance of transaction costs management, and a perceived potential of data mining for uncovering patterns and relationships not identified by the traditional top-down modelling approach. We analyse and build computational models for order submissions on the Australian Stock Exchange, an order-driven market with a public electronic limit order book. The focus of the thesis is on the trade implementation problem faced by a trader who wants to transact a buy or sell order of a certain size. We use two approaches to build our models, top-down and bottom-up. The traditional, top-down approach is applied to develop an optimal order submission plan for an order which is too large to be traded immediately without a prohibitive price impact. We present an optimisation framework and some solutions for non-stationary and non-linear price impact and price impact risk. We find that our proposed transaction costs model produces fairly good forecasts of the variance of the execution shortfall. The second, bottom-up, or data mining, approach is employed for trade sign inference, where trade sign is defined as the side which initiates both a trade and the market order that triggered the trade. We are interested in an endogenous component of the order flow, as evidenced by the predictable relationship between trade sign and the variables used to infer it. We want to discover the rules which govern the trade sign, and establish a connection between them and two empirically observed regularities in market order submissions, competition for order execution and transaction cost minimisation. To achieve the above aims we first use exploratory analysis of trade and limit order book data. In particular, we conduct unsupervised clustering with the self-organising map technique. The visualisation of the transformed data reveals that buyer-initiated and seller-initiated trades form two distinct clusters. We then propose a local non-parametric trade sign inference model based on the k-nearest-neighbour classifier. The best k-nearest-neighbour classifier constructed by us requires only three predictor variables and achieves an average out-of-sample accuracy of 71.40% (SD=4.01%)1, across all of the tested stocks. The best set of predictor variables found for the non-parametric model is subsequently used to develop a piecewise linear trade sign model. That model proves superior to the k-nearest-neighbour classifier, and achieves an average out-of-sample classification accuracy of 74.38% (SD=4.25%). The result is statistically significant, after adjusting for multiple comparisons. The overall classification performance of the piecewise linear model indicates a strong dependence between trade sign and the three predictor variables, and provides evidence for the endogenous component in the order flow. Moreover, the rules for trade sign classification derived from the structure of the piecewise linear model reflect the two regularities observed in market order submissions, competition for order execution and transaction cost minimisation, and offer new insights into the relationship between them. The obtained results confirm the applicability and relevance of data mining for the analysis and modelling of stock market order submissions.

In my master thesis, I have been mapping the work of regional hygiene stationswhile solving problems and providing services during exceptional situations in the methanol cause. For the practical part, I have decided to use the combination of the quantitative and the qualitative type of research. To gather the data, I have created a questionnaire that was composed of five open-ended questions. I have used an electronic way of distributing the questionnaire to all of the 14 regional hygiene stations of the Czech Republic. Unfortunately, there were only three hygiene stations that provided the needed data. The three participating hygiene stations were: KHS of South Bohemia region residing in ČeskéBudějovice, KHS of Vysočina region residing in Jihlava, and KHS of West Bohemia region residing in Plzeň. The secondary analysis of data was used to analyze and evaluate the given answers. For the needs of questionnaire examination, there has been created another questionnaire. It was composed of 14 closed questions that were mainly related to the knowledge and attitude of respondents to the given topic. All of the 206 respondents were residents of South Bohemia region. The questionnaire was posted on several internet web pages, and the research took place from March 2014 to July 2014. I have set several goals of the research. The first goal was to discover the number of incentives to be solved that were accepted by the three participating hygiene stations between the years 2008 and 2013. During the past six years, KHS of South Bohemia region, KHS ofVysočina region, and KHS of West Bohemia region experienced the growing trend in the number of incentives accepted. The lowest number of incentives accepted in KHS of South Bohemia region was in 2009, in KHS of Vysočina region in 2009 and 2010, and in KHS of West Bohemia in 2011. On the other hand, the highest number of incentives was experienced by all hygiene stations during the year 2013, and the number was significantly higher than in previous years. Another goal was to discover the number of alcohol accepted by KHS of South Bohemia during the methanol cause, the number of alcohol tested, and also the proportion of harmful alcohol that contained either methanol of isopropanol. In the South Bohemia region, there were 670 samples being tested during December 2012. Out of the 670 samples, there were 16 harmful samples, as 11 of them got over the technological limit of isopropanol contained, and 5 of methanol contained. Part of the master thesis was also to map the awareness of South Bohemia region residents of the methanol cause, and tolearn about their estimation on being able to recognize harmful alcohol by themselves without having it tested. The results have shown that 206 people which is equal to 100% of respondents were aware of methanol cause, and that they had at least basic information about it. 45 (22 %) respondents believed that they were able to recognize harmful alcohol by themselves, and 53 (26 %) respondents did not know about the possibility of having the alcohol tested by the hygiene stations. Out of all 153 well-informed respondents, only 3 (2 %) had their alcohol tested. The last goal of my master thesis was to discover the residents' opinion on hygiene stations. Concretely, I wanted to determine whether respondents would use a guide on how to report a complaint or an incentive. 100 % (206) of respondents have agreed on the fact that it would be useful if such a guide would be present on the web pages of each hygiene station. The research has also shown that 203 (99 %) respondents have answered that they assume that state administration bodies should be more helpful when giving information.Only 3 (1 %)respondents answered that the attitude of state administration is good enough.

O objetivo deste estudo foi caracterizar as doenças dos gatos domésticos pertencentes à casuística do Serviço de Patologia Animal do Departamento de Patologia da FMVZ/USP entre janeiro de 1998 e dezembro de 2008. Foram identificados e analisados os dados de 634 exames necroscópicos e 585 exames histopatológicos. Os dados escolhidos para o presente estudo foram: número de registro (exame histopatológico/exame necroscópico), data de entrada, idade, sexo, raça, coloração da pelagem, local da lesão, diagnóstico e no caso do exame necroscópico, causa mortis e moléstia principal. Foram elaborados dois bancos de dados, sendo um para exame histopatológico e outro para exame necroscópico, utilizando-se o programa Excel®. Salienta-se que não foi realizada a revisão de lâminas. As doenças foram classificadas em infecciosas, inflamatórias, neoplásicas e outros processos (hipertrofias, hiperplasias, displasias). Além disso, as doenças foram relacionadas a faixa etária, sexo, raça e coloração de pelagem, nos casos em que havia dados suficientes, foi abordada a relação entre causa mortis e moléstia principal. O presente estudo revelou que a maior causa de mortalidade em gatos domésticos são as complicações cardio-respiratórias, provenientes principalmente de intoxicações exógenas por carbamatos e por peritonite infecciosa felina, afetando principalmente animais até 24 meses em ambos os casos. Os processos inflamatórios no presente estudo apresentam mais características de caráter crônico. A análise das neoplasias revelou que os gatos tendem a apresentar neoplasias de comportamento maligno e de origem epitelial. Além disso, verificou-se que as fêmeas são as mais acometidas por neoplasias, com exceção do linfoma e do fibrossarcoma. A análise das faixas etárias mostrou que estes animais são mais velhos, embora haja animais jovens apresentando processos neoplásicos, o que também ocorreu na análise de dados nos quais havia mais de um tecido do mesmo animal para avaliação histopatológica. Tanto nas neoplasias, nos processos inflamatórios e outros processos houve maior frequência de afecções cutâneas, explicado sobretudo pela facilidade de acesso e de visualização. / The aim of this study was to characterize the diseases of domestic cats of the casuistry of the Veterinary Pathology Service from the Department of Pathology - FMVZ/USP between January of 1998 and December of 2008. It was analyzed data from 634 necroscopic examinations and 585 histopathological submissions. The analysis of the following data was performed: register number (histopathological submissions/necroscopic examination), date of entry, age, gender, breed, color of hair, localization of lesion, diagnosis, and for necropsies, data about causa mortis and necropsy findings. Two databases were organized by utilizing the software Excel®. The glass slides were not reviewed. The diseases were classified as infectious, inflammatory, neoplastic and other diagnosis (hypertrophy, hyperplasia, dysplasia). Moreover, diseases were related to age group, gender, breed, color of hair, and it was established the relationship between causa mortis and necropsy findings. The major cause of death of domestic cats was cardiorrespiratory arrest due to poisoning by carbamate and feline infectious peritonitis, both affecting animals until 24 months in both cases. The most frequent inflammatory processes in this study presented chronic features. The analysis of neoplastic diseases revealed that cats are prone to present neoplasms with epithelial origin and malign features, affecting mainly females, by the exception of lymphoma and fibrosarcoma. The analysis of age group has shown that those animals were older, although there was a low frequency of younger animals presenting neoplastic diseases. Both in inflammatory and neoplastic diseases, lesions in the skin were more frequent, which was explained by the easier visualization and access of this organ.

O objetivo deste estudo foi caracterizar as doenças dos gatos domésticos pertencentes à casuística do Serviço de Patologia Animal do Departamento de Patologia da FMVZ/USP entre janeiro de 1998 e dezembro de 2008. Foram identificados e analisados os dados de 634 exames necroscópicos e 585 exames histopatológicos. Os dados escolhidos para o presente estudo foram: número de registro (exame histopatológico/exame necroscópico), data de entrada, idade, sexo, raça, coloração da pelagem, local da lesão, diagnóstico e no caso do exame necroscópico, causa mortis e moléstia principal. Foram elaborados dois bancos de dados, sendo um para exame histopatológico e outro para exame necroscópico, utilizando-se o programa Excel®. Salienta-se que não foi realizada a revisão de lâminas. As doenças foram classificadas em infecciosas, inflamatórias, neoplásicas e outros processos (hipertrofias, hiperplasias, displasias). Além disso, as doenças foram relacionadas a faixa etária, sexo, raça e coloração de pelagem, nos casos em que havia dados suficientes, foi abordada a relação entre causa mortis e moléstia principal. O presente estudo revelou que a maior causa de mortalidade em gatos domésticos são as complicações cardio-respiratórias, provenientes principalmente de intoxicações exógenas por carbamatos e por peritonite infecciosa felina, afetando principalmente animais até 24 meses em ambos os casos. Os processos inflamatórios no presente estudo apresentam mais características de caráter crônico. A análise das neoplasias revelou que os gatos tendem a apresentar neoplasias de comportamento maligno e de origem epitelial. Além disso, verificou-se que as fêmeas são as mais acometidas por neoplasias, com exceção do linfoma e do fibrossarcoma. A análise das faixas etárias mostrou que estes animais são mais velhos, embora haja animais jovens apresentando processos neoplásicos, o que também ocorreu na análise de dados nos quais havia mais de um tecido do mesmo animal para avaliação histopatológica. Tanto nas neoplasias, nos processos inflamatórios e outros processos houve maior frequência de afecções cutâneas, explicado sobretudo pela facilidade de acesso e de visualização. / The aim of this study was to characterize the diseases of domestic cats of the casuistry of the Veterinary Pathology Service from the Department of Pathology - FMVZ/USP between January of 1998 and December of 2008. It was analyzed data from 634 necroscopic examinations and 585 histopathological submissions. The analysis of the following data was performed: register number (histopathological submissions/necroscopic examination), date of entry, age, gender, breed, color of hair, localization of lesion, diagnosis, and for necropsies, data about causa mortis and necropsy findings. Two databases were organized by utilizing the software Excel®. The glass slides were not reviewed. The diseases were classified as infectious, inflammatory, neoplastic and other diagnosis (hypertrophy, hyperplasia, dysplasia). Moreover, diseases were related to age group, gender, breed, color of hair, and it was established the relationship between causa mortis and necropsy findings. The major cause of death of domestic cats was cardiorrespiratory arrest due to poisoning by carbamate and feline infectious peritonitis, both affecting animals until 24 months in both cases. The most frequent inflammatory processes in this study presented chronic features. The analysis of neoplastic diseases revealed that cats are prone to present neoplasms with epithelial origin and malign features, affecting mainly females, by the exception of lymphoma and fibrosarcoma. The analysis of age group has shown that those animals were older, although there was a low frequency of younger animals presenting neoplastic diseases. Both in inflammatory and neoplastic diseases, lesions in the skin were more frequent, which was explained by the easier visualization and access of this organ.