Controlled Start Transmissions (CST) can be described as a mechanical transmission combined with a wet clutch for controlled torque output. CST:s are commonly used to start up heavy loads for example mining conveyors. Several CST:s can work together to share the load. The transferred torque is controlled by a hydraulic wet clutch which is a proven technology for high torque transfer and low wear. This thesis is a part of a project to increase the knowledge and improve the CST design and control performance. The heat generation in the wet clutch is the focus of this thesis. Literature review shows that most research is done in order to get high accuracy for smaller clutches and most of the high torque engagements have very short transients.Models for the CST clutch heat generation together with thermal behavior have been developed and investigated. This includes a temperature model together with a kinetic model of the gearbox and a clutch torque model. Validation of separate model components and sensitivity analysis of the parameters are made. The developed model is then analyzed by comparing measurements from a commission site and simulations to get an idea of how much heat is generated.

Main subject of the diploma thesis is an evaluation of waterworks sludge dewatering using the CST method. The CST or capillary suction time is method developed to evaluate specific resistance to filtration in an indirect way. In principle it is based on the use of filtration paper to measure willingness of sludge to release water or its filterability. Results are measured as time needed for the water to overcome a defined trajectory and expressed in seconds. The shorter the CST time the more filterable is the sludge sample. The CST method has been critically evaluated and it was assessed as a great method for selecting the ideal polymer used for the sludge dewatering and for defining its optimal dose. Measurements have been made on sludge from two waterworks plants Želivka and Kozičín. Polymer products from company Sokoflok and products Praestol and Magnafloc have been tested on both of them. The best polymers for dewatering have been selected. It was Sokoflok 104 for sludge Želivka 1, 55CN for sludge Želivka 2, Magnafloc for sludge Kozičín 1 and 55CN for sludge Kozičín 2. Second subject of the thesis was to evaluate a sludge sensibility to the shear rate. Havlík (2003) and Bache et al.(2003) are describing sludge as a substance very sensitive to higher shear rate which causes that the aggregates...

A sumarização automática multidocumento consiste em produzir um sumário ou resumo (como mais comumente é conhecido) a partir de um grupo de textos que versam sobre um mesmo assunto, contendo as informações mais relevantes de acordo com o interesse do usuário. No cenário atual, com a quantidade imensa de informação em constante crescimento e atualização, e o tempo cada vez mais reduzido disponível para apreender o conteúdo de interesse, sumários multidocumento têm se tornado um recurso importante. Nesta dissertação, foram explorados métodos de seleção de conteúdo para sumarização multidocumento com base no modelo de relacionamento multidocumento CST (Cross-document Structure Theory), proposto recentemente e já difundido na área de Processamento de Línguas Naturais. Em particular, neste trabalho, foram definidos e formalizados operadores de seleção de conteúdo para sumarização multidocumento com base no modelo CST. Estes operadores representam possíveis preferências de sumarização e focam-se no tratamento dos principais desafios presentes no processamento de múltiplos documentos: redundância, complementaridade e informações contraditórias. Estes operadores são especificados em templates contendo regras e funções que relacionam essas preferências às relações CST. Especificamente, foram definidos operadores para extrair a informação principal, apresentar informação de contexto, identificar autoria, tratar redundâncias e identificar informação contraditória. Também foi avaliado o impacto do uso do modelo CST em métodos de sumarização superficiais. Experimentos foram realizados com textos jornalísticos escritos em português brasileiro. Os resultados das avaliações mostram que o uso da teoria CST melhora a informatividade e a qualidade dos sumários gerados / Multidocument summarization consists in producing a summary from a group of texts on a same topic, containing the most relevant information according to the users interest. Recently, with the huge amount of growing information over the internet and the short time available to learn and process the information of interest, automatic summaries have become a very important resource. In this work, we explored content selection methods for multidocument summarization based on CST (Cross-document Structure Theory) a recently proposed model and already investigated in the Computational Linguistics area. Particularly, in this work we defined and formalized content selection operators based on CST model. These operators represent possible summarization preferences and they focus on the treatment of the main challenges of multidocument summarization: redundancy, complementarity and contradiction among information. These operators are specified in templates containing rules and functions that relate the preferences to CST relations. Specifically, we define operators for extracting main information, context information, identifying authorship, treating redundancy and showing contradicted information. We also explored the impact of CST model over superficial summarization methods. Experiments were done using journalistic texts written in Brazilian Portuguese. Results show that the use of CST model helps to improve informativeness and quality in automatic summaries

A sumarização automática multidocumento consiste em produzir um sumário ou resumo (como mais comumente é conhecido) a partir de um grupo de textos que versam sobre um mesmo assunto, contendo as informações mais relevantes de acordo com o interesse do usuário. No cenário atual, com a quantidade imensa de informação em constante crescimento e atualização, e o tempo cada vez mais reduzido disponível para apreender o conteúdo de interesse, sumários multidocumento têm se tornado um recurso importante. Nesta dissertação, foram explorados métodos de seleção de conteúdo para sumarização multidocumento com base no modelo de relacionamento multidocumento CST (Cross-document Structure Theory), proposto recentemente e já difundido na área de Processamento de Línguas Naturais. Em particular, neste trabalho, foram definidos e formalizados operadores de seleção de conteúdo para sumarização multidocumento com base no modelo CST. Estes operadores representam possíveis preferências de sumarização e focam-se no tratamento dos principais desafios presentes no processamento de múltiplos documentos: redundância, complementaridade e informações contraditórias. Estes operadores são especificados em templates contendo regras e funções que relacionam essas preferências às relações CST. Especificamente, foram definidos operadores para extrair a informação principal, apresentar informação de contexto, identificar autoria, tratar redundâncias e identificar informação contraditória. Também foi avaliado o impacto do uso do modelo CST em métodos de sumarização superficiais. Experimentos foram realizados com textos jornalísticos escritos em português brasileiro. Os resultados das avaliações mostram que o uso da teoria CST melhora a informatividade e a qualidade dos sumários gerados / Multidocument summarization consists in producing a summary from a group of texts on a same topic, containing the most relevant information according to the users interest. Recently, with the huge amount of growing information over the internet and the short time available to learn and process the information of interest, automatic summaries have become a very important resource. In this work, we explored content selection methods for multidocument summarization based on CST (Cross-document Structure Theory) a recently proposed model and already investigated in the Computational Linguistics area. Particularly, in this work we defined and formalized content selection operators based on CST model. These operators represent possible summarization preferences and they focus on the treatment of the main challenges of multidocument summarization: redundancy, complementarity and contradiction among information. These operators are specified in templates containing rules and functions that relate the preferences to CST relations. Specifically, we define operators for extracting main information, context information, identifying authorship, treating redundancy and showing contradicted information. We also explored the impact of CST model over superficial summarization methods. Experiments were done using journalistic texts written in Brazilian Portuguese. Results show that the use of CST model helps to improve informativeness and quality in automatic summaries

Telomeres are the ends of linear chromosomes tasked with preventing their recognition by the DNA damage machinery and providing a mechanism to solve the end replication problem. The telomeric DNA is mostly double-stranded, but it terminates in a 3’ protrusion termed the G-overhang. Telomeres utilize telomerase, a reverse transcriptase, to elongate the telomere, and thus, solve the end replication problem. Both the double strand region and the G-overhang are bound by specific proteins to facilitate the objectives of the telomere. First discovered in budding yeast, the CST (Cdc13(CTC1)/Stn1/Ten1) complex binds to the G-overhang and is important for both chromosome end protection and telomere replication. Work reported in this dissertation provided the first evidence that CST was present outside of yeast, which led to its subsequent identification in a number of vertebrates. Here I present the identification and characterization of the three components of CST in Arabidopsis thaliana. Similar to yeast, Arabidopsis CST is required for telomere length maintenance, for preventing telomere recombination and chromosome end-to-end fusions. Mutations in the CST complex result in severe genomic instability and stem cells defects. My research also shows that CST and telomerase act synergistically to maintain telomere length. Together these data provide evidence for an essential role for CST in maintaining telomere integrity. Unexpectedly, I discovered that the TEN1 component of CST may have a more complex role than other members of the heterotrimer. The majority of telomere-related functions we can assay using molecular and cytological approaches are shared by CTC1, STN1 and TEN1, though TEN1 has additional roles in maintaining genome stability, modulating telomerase activity and possibly non-telomeric functions in the chloroplast. I also present genetic evidence that TEN1 and STN1 act in the same pathway for the maintenance of telomere length and chromosome end protection. Interestingly, however, disrupting the STN1/TEN1 interaction reveals a separation of STN1 function for chromosome end protection versus telomere length maintenance. Finally, I describe the design and creation of a library of STN1 and TEN1 mutants that will be used to further characterize their functions and their interaction partners. By disrupting such interactions, it will be possible to elucidate the functional significance of these interactions, and thus, provide new insight into how CST functions in Arabidopsis.

In this Master's thesis scripting interface of two programs CST Microwave studio and Ansoft HFSS for the purpose of analysis of electromagnetic structures is described. The work is focuses control of these programs with help of scripting languages and system's interface of MS Windows XP. Next the process of connecting programs with MATLAB is shown on commented scripts together with an example of complete analysis of a chosen problem, and the import and export of results results in MATLAB. Further the functions which form programming interface between MATLAB and simulation programs are designed and implemented. The interconnection layer makes the complete control of simulating programs possible using the function description published in the official documentation of used simulation programs. The layer is described in reference manual in detail and it is used for optimization with use of Particle swarm optimalization (PSO) of planar antenna model. Then there is presented another usage of the layer for an implementation of global optimization methods - SOMA and DE including suggestion of process for comparison efficiency of optimization algorithms on simple electromagnetic models.

The main topic of this diploma thesis is a design of the PIFA antenna working in GSM bands. In the beginning there is a brief analysis of planar antennas. The thesis describes PIFA antenna and the techniques for minimization of dimensions of the antenna. Essential part of the thesis is dedicated to multicriterial optimalizaton of the antenna shape. The genetic algorithm programmed in the MATLAB enviroment cooperates with a full-wave solver CST to obrain desired impedance matching of the antenna its radiationt paterns. Also dimensions of the antenna can be minimized using the optimization procedure. Final part of the thesis compares measured data of the optimalized antenna with results obtained in CST Microwave Studio.

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Background: Group Cognitive Stimulation Therapy (CST) has been found to be effective in improving cognitive functioning and quality of life in people with dementia. However, little is known about whether it would be effective if delivered in an individual format. Design: A small n within-subjects, repeated measures design was used, with participants acting as their own control, to assess whether Individual CST was beneficial for people with vascular dementia. Method: 27 research packs were distributed, 12 returned the opt-in slip, eight completed the therapy and five participants (with a diagnosis of vascular dementia) were included in this study. Participants completed a four-week baseline period, seven-weeks of Individual CST, followed by a four-week follow up period. Outcome variables were cognitive functioning (assessed at start of baseline and end of intervention), quality of life and self efficacy (assessed at start of baseline, start of intervention, end of intervention and end of follow up) and anxiety and depression (assessed weekly). Results: Cognitive functioning was maintained or improved in four out of five participants. Improvements tended to be in the memory and language domains but declined in the attention domain. Participant quality of life and anxiety and depression ratings were also maintained or improved following the intervention. Conclusion: This research suggests that Individual CST may be beneficial for people with vascular dementia in terms of maintaining or improving cognitive function, improving quality of life and mood. This has implications for the provision of future interventions for dementia. Further research is required to further build on these findings in addition to assessing cost-effectiveness before Individual CST is offered as a therapeutic option.

The use of treatment support tools to enhance client outcomes is not well understood in the youth treatment literature. Adult outcome researchers have found that the use of Clinical Support Tools (CST) leads to improved outcomes with clients identified as at risk for treatment failure. However, the American Psychological Association (APA) has noted that understanding important client factors that influence treatment is critical during the clinical formulation and treatment planning phase of therapy. No studies to date have evaluated the effectiveness of utilizing a CST as a treatment planning tool with youth clients. The purpose of this study was to evaluate the effectiveness of the Treatment Support Measure, a CST, for the purpose of treatment planning rather than as a reaction to clients who became at-risk for treatment failure. Two hundred and eight youth participants and their caregivers from three outpatient community mental health clinics were randomly assigned to a feedback (TSM-FB) or Non-FB condition. All participants completed the Youth Outcome Questionnaire (Y-OQ) at each session. The TSM was administered to clients in the TSM-FB condition during the intake session. Only therapists whose clients were in the TSM-FB condition received TSM and Y-OQ data. A multilevel model was created to evaluate for differences between conditions on the dependent variable. The initial randomization failed to create similar groups at intake and a statistically and clinically significant difference was detected on the Y-OQ at intake. As such, no conclusions can be drawn for hypotheses tied to the primary dependent variable. Premature termination (PT) rates were significantly lower for the TSM-FB condition when defined as attending more than one session. Contrastingly, there was no difference between conditions on PT when defining PT based on the therapist's opinion. A significant minority of therapists (40%) found that the TSM was useful for treatment planning compared to 10% which did not.