abstract: Photosynthesis is the primary source of energy for most living organisms. Light harvesting complexes (LHC) play a vital role in harvesting sunlight and passing it on to the protein complexes of the electron transfer chain which create the electrochemical potential across the membrane which drives ATP synthesis. phycobilisomes (PBS) are the most important LHCs in cyanobacteria. PBS is a complex of three light harvesting proteins: phycoerythrin (PE), phycocyanin (PC) and allophycocyanin (APC). This work has been done on a newly discovered cyanobacterium called Leptolyngbya Heron Island (L.HI). This study has three important goals: 1) Sequencing, assembly and annotation of the L.HI genome - Since this is a newly discovered cyanobacterium, its genome was not previously elucidated. Illumina sequencing, a type of next generation sequencing (NGS) technology was employed to sequence the genome. Unfortunately, the natural isolate contained other contaminating and potentially symbiotic bacterial populations. A novel bioinformatics strategy for separating DNA from contaminating bacterial populations from that of L.HI was devised which involves a combination of tetranucleotide frequency, %(G+C), BLAST analysis and gene annotation. 2) Structural elucidation of phycoerythrin - Phycoerythrin is the most important protein in the PBS assembly because it is one of the few light harvesting proteins which absorbs green light. The protein was crystallized and its structure solved to a resolution of 2Å. This protein contains two chemically distinct types of chromophores: phycourobilin and phycoerythrobilin. Energy transfer calculations indicate that there is unidirectional flow of energy from phycourobilin to phycoerythrobilin. Energy transfer time constants using Forster energy transfer theory have been found to be consistent with experimental data available in literature. 3) Effect of chromatic acclimation on photosystems - Chromatic acclimation is a phenomenon in which an organism modulates the ratio of PE/PC with change in light conditions. Our investigation in case of L.HI has revealed that the PE is expressed more in green light than PC in red light. This leads to unequal harvesting of light in these two states. Therefore, photosystem II expression is increased in red-light acclimatized cells coupled with an increase in number of PBS. / Dissertation/Thesis / Ph.D. Chemistry 2014

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-16T11:41:10Z No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-16T11:42:54Z (GMT) No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-10-16T11:42:54Z (GMT). No. of bitstreams: 2 Dissertação - Giovanna Moreno Parizotto - 2017.pdf: 2790011 bytes, checksum: 84424125a05214d9b7536300c92cae6b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-09-14 / In this qualitative research with case study elements, we discuss why the use of notions of structured programming in Python language constituted as a manipulation of the play culture for the teaching of Physics in the first year of the High School, at night. Manipulation in this case, refers us to aspects related to notions of game and characteristics related to the game, recognizing the game as a place of emergency of the ludic culture. This theme is related to the teacher training of the researcher, who seeks to enrich the student's playful culture in which she has greater didactic difficulty. In the course of the research, the researchers find several characteristics of the games during the interventions. This process is discussed as to the characteristics of the philosophical game proposed by Brougère (1998) and also to the typical behaviors of them, considered as primary impulses by Caillois (1990), related to the term game. We also relate corruption characteristics of these primary impulses to the lubricant ludic term. / Nesta pesquisa qualitativa com elementos de estudo de caso discutimos por que o uso de noções de programação estruturada em linguagem Python constituiu-se como uma manipulação da cultura lúdica para o ensino de Física no primeiro ano do Ensino Médio noturno. Manipulação neste caso, remete-nos a aspectos ligados a noções de jogo e características relacionadas ao jogos, reconhecendo o jogo como lugar de emergência da cultura lúdica. Tal temática está de encontro a formação docente da pesquisadora, que busca enriquecer a cultura lúdica do alunado no qual possui maior dificuldade didática. No decorrer da pesquisa, os pesquisadores encontram várias características dos jogos durante as intervenções. Tal processo é discutido quanto as características do jogo filosófico propostas por Brougère (1998) e também aos comportamentos típicos dos mesmos, tidos como impulsões primárias por Caillois (1990), relacionado ao termo jogo. Relacionamos ainda características de corrupções destas impulsões primárias ao termo lúdico lúbrico.

In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs.These techniques are rapidly being adopted, this also being the case of sports and team sportsfor tasks such as injury prediction and prevention, performance improvement, or fan engagement.The aim of this project is to analyze the implications of data-driven decisions focusing on theiractual and future use in sports. Finally, a player scouting and team tailoring application would bedesigned and deployed to help the technical staff decision-making process which will also supposea budget optimization. For doing so, “Python” programming language and “Rapidminer” will beused, implementing “fuzzy logic” techniques for player scouting and “knapsack problem” algorithms for budget optimization plus an additional price prediction algorithm. The outcome wouldbe the application which given certain player needs (e.g., a midfielder with a high pass accuracyand a high ball recovery and a goalkeeper with a big number of saves and many minutes played)and the available budget will suggest the best possible combination of players given the availablebudget and the algorithm capable of predicting prices. This project also intends to study how thisapplication could be deployed in a real case situation by estimating the work team and budget todo so.

Planning for transportation within northern Canadian communities presents unique challenges, but new research tools offer opportunities for testing potentially innovative solutions that might help improve mobility within these communities. In particular, problem solving has been enriched in recent years by using the spatial modeling methods offered by Geographical Information Systems (GIS). This thesis first reviews various GIS methods before applying one method – the ‘Route Utility Theory’ – to a newly-developed set of metrics for determining the cost of alternate modes of intracommunity transportation. This set of metrics is applied to a data set that represents the trips or journeys made by non-car users in Iqaluit, the capital city of Nunavut Territory. GIS data on roads, walking trails, land contours, and public and residential neighbourhoods are analyzed. The results facilitate comparisons between road options and trail options for improving the movement of people within Iqaluit. Five bus routes were then custom designed and compared using the study’s metrics. The study found that increasing bus and trail options within Iqaluit would provide more efficient options for non-car users. It is argued that the study’s metrics can be adapted for application in other northern communities, and possibly in other isolated and rural communities in different world situations. / Graduate

The Generalized Finite Element Method (GFEM) is a numerical method based on the Partition of Unity (PU) concept and inspired on both the Partition of Unity Method (PUM) and the hp-Cloud method. According to the GFEM, the PU is provided by first-degree Lagragian interpolation functions, defined over a mesh of elements similar to the Finite Element Method (FEM) meshes. In fact, the GFEM can be considered an extension of the FEM to which enrichment functions can be applied in specific regions of the problem domain to improve the solution. This technique has been successfully employed to solve problems presenting discontinuities and singularities, like those that arise in Fracture Mechanics. However, most publications on the method are related to linear analyses. The present thesis is a contribution to the few studies of nonlinear analyses of Solid Mechanics by means of the GFEM. One of its main topics is the derivation of a segment-to-segment generalized contact element based on the mortar method. Material and kinematic nonlinear phenomena are also considered in the numerical models. An Object-Oriented design was developed for the implementation of a GFEM nonlinear analyses framework written in Python programming language. The results validated the formulation and demonstrate the gains and possible drawbacks observed for the GFEM nonlinear approach. / O Método dos Elementos Finitos Generalizados (MEFG) é um método numérico baseado no conceito de partição da unidade (PU) e inspirado no Método da Partição da Unidade (MPU) e o método das Nuvens-hp. De acordo com o MEFG, a PU é obtida por meio de funções de interpolação Lagragianas de primeiro grau, definidas sobre uma rede de elementos similar àquela do Método dos Elementos Finitos (MEF). De fato, o MEFG pode ser considerado uma extensão do MEF para a qual se pode aplicar enriquecimentos em regiões específicas do domínio, buscando melhorias na solução. Esta técnica já foi aplicada com sucesso em problemas com descontinuidades e singularidades, como os originários da Mecânica da Fratura. Apesar disso, a maioria das publicações sobre o método está relacionada a análises lineares. A presente tese é uma contribuição aos poucos estudos relacionados a análises não-lineares de Mecânica dos Sólidos por meio do MEFG. Um de seus principais tópicos é o desenvolvimento de um elemento de contato generalizado do tipo segmento a segmento baseado no método mortar. Fenômenos não lineares devidos ao material e à cinemática também são considerados nos modelos numéricos. Um projeto de orientação a objetos para a implementação de uma plataforma de análises não-lineares foi desenvolvido, escrito em linguagem de programação Python. Os resultados validam a formulação e demonstram os ganhos e possíveis desvantagens da abordagem a problemas não lineares por meio do MEFG.

The Generalized Finite Element Method (GFEM) is a numerical method based on the Partition of Unity (PU) concept and inspired on both the Partition of Unity Method (PUM) and the hp-Cloud method. According to the GFEM, the PU is provided by first-degree Lagragian interpolation functions, defined over a mesh of elements similar to the Finite Element Method (FEM) meshes. In fact, the GFEM can be considered an extension of the FEM to which enrichment functions can be applied in specific regions of the problem domain to improve the solution. This technique has been successfully employed to solve problems presenting discontinuities and singularities, like those that arise in Fracture Mechanics. However, most publications on the method are related to linear analyses. The present thesis is a contribution to the few studies of nonlinear analyses of Solid Mechanics by means of the GFEM. One of its main topics is the derivation of a segment-to-segment generalized contact element based on the mortar method. Material and kinematic nonlinear phenomena are also considered in the numerical models. An Object-Oriented design was developed for the implementation of a GFEM nonlinear analyses framework written in Python programming language. The results validated the formulation and demonstrate the gains and possible drawbacks observed for the GFEM nonlinear approach. / O Método dos Elementos Finitos Generalizados (MEFG) é um método numérico baseado no conceito de partição da unidade (PU) e inspirado no Método da Partição da Unidade (MPU) e o método das Nuvens-hp. De acordo com o MEFG, a PU é obtida por meio de funções de interpolação Lagragianas de primeiro grau, definidas sobre uma rede de elementos similar àquela do Método dos Elementos Finitos (MEF). De fato, o MEFG pode ser considerado uma extensão do MEF para a qual se pode aplicar enriquecimentos em regiões específicas do domínio, buscando melhorias na solução. Esta técnica já foi aplicada com sucesso em problemas com descontinuidades e singularidades, como os originários da Mecânica da Fratura. Apesar disso, a maioria das publicações sobre o método está relacionada a análises lineares. A presente tese é uma contribuição aos poucos estudos relacionados a análises não-lineares de Mecânica dos Sólidos por meio do MEFG. Um de seus principais tópicos é o desenvolvimento de um elemento de contato generalizado do tipo segmento a segmento baseado no método mortar. Fenômenos não lineares devidos ao material e à cinemática também são considerados nos modelos numéricos. Um projeto de orientação a objetos para a implementação de uma plataforma de análises não-lineares foi desenvolvido, escrito em linguagem de programação Python. Os resultados validam a formulação e demonstram os ganhos e possíveis desvantagens da abordagem a problemas não lineares por meio do MEFG.