Tesis sobre el tema "Intelligence – genetics"
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Avgan, Nesli. "The genetic basis of human cognition: Intelligence, learning and memory". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122903/1/Nesli_Avgan_Thesis.pdf.
Texto completoPrabhakar, Nachiketh. "Deep Learning To Improve Hi-C Data". Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1562582435975614.
Texto completoOng, Vy Quoc. "Subgroup Analysis of Patients with Hepatocellular Carcinoma| A Quest for Statistical Algorithms for Tissue Classification Problem". Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840510.
Texto completoHepatocellular carcinoma (HCC) is the most common type of liver cancer. This type of cancer has been observed with prevalence as the third leading cause of death from cancer worldwide and as the ninth leading cause of cancerous mortality in the United States. People with hepatitis B or C are considered to be at high risk for this kind of cancer. Remarkably poor prognostic HCC patients with low survival rates commonly possess intra-hepatic metastases that are either tumor thrombi in the portal vein or intra-hepatic spread. It is uncommon for them to die of extra-hepatic metastases. Therefore, identifying metastatic HCC has become vital and clinically challenging in efforts of timely therapeutic intervention to improve the survival rate of patients who suffer from this disease.
To date, studies that look for an accurate molecular profiling model have been developed to identify these patients in advance for a better treatment or intervention. An approach has been to focus on identifying individual candidate genes characterizing metastatic HCC. Another direction has been to find a global genome scale solution by using microarray technology to obtain a gene expression for this carcinoma. Among research following the latter was that developed by Qing-Hai Ye et al., Nature Medicine, Volume 9, Number 4, April 2003. They applied cDNA microarray-based gene expression profiling with compound co-variate predictors for primary HCC, metastatic HCC, and metastasis-free HCC binary classification tasks on a dataset of 87 observations and 9984 features taken from 40 hepatitis B-positive Chinese patients. Notably, a robust 153-gene model was generated to successfully classify tumor-thrombi-in-the-portal-vein samples with metastasis-free samples. However, they admitted distinguishing primary tumor samples from their matched-metastatic lesions were still a challenge. In this molecule signature, a gene named osteopontin, a secreted phosphoprotein, served as the lead gene in diagnosing HCC metastasis.
The analysis is based on the metastatic status of HCC, which is clinically predetermined. However, the validation of the class definition is needed to investigate if the data are sufficient to translate the three classes predefined. We will use some statistical clustering algorithms to validate the class defined. After that, we will conduct variable selection to find markers that are differentially expressed genes among clinical groups validated from this research. Next, using the compound markers found by this research, we will develop a statistical model to predict a new patient’s HCC type for intervention. The generalized performance of the prediction model will be evaluated via a cross-validation test. This study aims to build a highly accurate model that renders a better classification of the fore-mentioned clinical groups of HCC and thus enhances the rate of predicting metastatic patients.
Beiko, Robert G. "Evolutionary computing strategies for the detection of conserved patterns in genomic DNA". Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/29009.
Texto completoTakane, Marina. "Inference of gene regulatory networks from large scale gene expression data". Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80883.
Texto completoСмірнов, Олег Ювеналійович, Олег Ювенальевич Смирнов y Oleh Yuvenaliiovych Smirnov. "Генетична складова інтелекту". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/14286.
Texto completoYeo, Ronald A., Sephira G. Ryman, den Heuvel Martijn P. van, Reus Marcel A. de, Rex E. Jung, Jessica Pommy, Andrew R. Mayer et al. "Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics". Cambridge University Press, 2016. https://tud.qucosa.de/id/qucosa%3A70691.
Texto completoPenke, Lars. "Neuroscientific approaches to general intelligence and cognitive ageing". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2011. http://dx.doi.org/10.18452/13979.
Texto completoAfter an extensive review of what is known about the genetics and neuroscience of general intelligence and a methodological note emphasising the necessity to consider latent variables in cognitive neuroscience studies, exemplified by a re-analysis of published results, the most well-established brain correlate of intelligence, brain size, is revisited from an evolutionary genetic perspective. Estimates of the coefficient of additive genetic variation in brain size suggest that there was no recent directional selection on brain size, questioning its validity as a proxy for intelligence in evolutionary analyses. Instead, correlations of facial fluctuating asymmetry with intelligence and information processing speed in old men suggest that organism-wide developmental stability might be an important cause of individual differences in cognitive ability. The second half of the thesis focuses on cognitive ageing, beginning with a general review. In a sample of over 130 subjects it has then been found that the integrity of different white matter tracts in the brain is highly correlated, allowing for the extraction of a general factor of white matter tract integrity, which is correlated with information processing speed. The only tract not loading highly on this general factor is the splenium of the corpus callosum, which is correlated with changes in intelligence over 6 decades and mediates the effect of the beta2 adrenergic receptor gene (ADRB2) on cognitive ageing, possibly due to its involvement in neuronal compensation processes. Finally, using a novel analytic method for magnetic resonance data, it is shown that more iron depositions in the brain, presumably markers of a history of cerebral microbleeds, are associated with both lifelong-stable intelligence differences and age-related decline in cognitive functioning.
Horstman, Benjamin Philip. "Detecting Epistasis Effect in Genome-Wide Association Studies Based on Permutation Tests and Ensemble Approaches". Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270577390.
Texto completoDepartment of EECS - Computer and Information Sciences Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
Kravchenko, Evgenija. "Association between cognitive measures, global brain surface area, genetics, and screen-time in young adolescents : Estimation of causal inference with machine learning". Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290033.
Texto completoSkärmaktivitet som att titta på TV och video, spela videospel och använda sociala medier har blivit en populär fritidsaktivitet för barn och ungdomar. Effekten av skärmtid har varit ett mycket debatterat ämne; det finns dock fortfarande mycket lite kunskap om det. Med hjälp av datasetet från Adolescent Brain Cognitive Development långtidsstudien kunde 4 217 ungdomar, som uppfyllde specifika krav, väljas ut för detta avhandlingsprojekt efter bearbetning av datan. Detta avhandlingsprojekt undersökte kausal ordning mellan genetisk effekt (Polygenic scores (PGS) för kognitiv prestation), skärmtidsaktivitet, hjärnmorfologi (strukturell Magnet Resonans Imaging (sMRI) för hjärnans ytarea och hjärnbarks tjocklek), brist på ihärdighet och kognitiv förmåga (kristalliserad IQ) med en maskininlärningsalgoritm DirectLiNGAM. Tydlig korrelation mellan skärmaktivitet och PGS hittades för alla typer av skärmaktiviteter men endast videospel och sociala medier korrelerade till den globala ytarean. Dessutom verkar TV och video påverka brist på ihärdighet och brist på ihärdighet i sin tur påverkar hur mycket tid som spenderas på videospel. Dessa resultat antyder att olika typer av sociala medier inte är så lika som vi trodde och kan påverka ungdomar olika. Sammanlagt stöder dessa upptäckter tidigare forskning om skärmtidseffekt på brist på ihärdighet, hjärnmorfologi och kognitiv förmåga och föreslår en ny kausal inferens mellan genetik och skärmtid. Slutligen ledde algoritmen som användes i detta avhandlingsprojekt fram till rimliga kausala ordningar och kan ses som ett mycket bra komplement till dagens kausala modellering.
Tafreshi, Shabnam. "Cross-Genre, Cross-Lingual, and Low-Resource Emotion Classification". Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28088437.
Texto completoFetter, Karl Christian. "Natural Selection For Disease Resistance In Hybrid Poplars Targets Stomatal Patterning Traits And Regulatory Genes". ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1162.
Texto completoChar, Kalyani Govinda. "Constructivist artificial intelligence with genetic programming". Thesis, University of Glasgow, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265641.
Texto completoQi, Dehu. "Multi-agent systems : integrating reinforcement learning, bidding and genetic algorithms /". free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060133.
Texto completoMeuth, Ryan James. "Meta-learning computational intelligence architectures". Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Meuth_09007dcc80722172.pdf.
Texto completoVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed January 5, 2010) Includes bibliographical references (p. 152-159).
PICCHIOTTI, NICOLA. "Explainable Artificial Intelligence: an application to complex genetic diseases". Doctoral thesis, Università degli studi di Pavia, 2021. http://hdl.handle.net/11571/1447637.
Texto completoFORESI, GABRIELE. "Computational Intelligence Techniques for Energy Management in Industrial and Residential Systems". Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274515.
Texto completoIn the digitalization era, Energy Management (EM) has become one of the most important topics in both industrial and residential scenarios. The importance of solving and improving some tasks in this epoch leads to the need to apply some Computational Intelligence (CI) and Artificial Intelligence (AI) methods. The objectives and contributions of this thesis are related to the EM in i) industrial systems (with reference to the Industry 4.0) by acting on the control system design and ii) residential systems by giving the user a role active in a flexibility scenario. In the first scenario, the author presents two CI methodologies. The first approach consists of applying a meta-heuristic algorithm to reconfigurable sys- tems in order to find a sub-optimal controller parameter set. The performance of this technique is based on the choice of a suitable function to be optimized. The second methodology is the application of a similarity detection technique as a control system supervisor. This is implemented to overcome the limita- tions of the first methodology. Both of these approaches are tested on a real system. In the second scenario, the author proposes the application of a CI technique aiming to forecast home appliances usage. This information, shared with the energy supplier, is could be very useful to fed flexibility programs. The obtained results show how the performance of the proposed algorithm is better than the classic approaches.
Hobday, Steven. "Artificial intelligence and simulations applied to interatomic potentials". Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/33255.
Texto completoMirina, Alexandra. "Computational approaches for intelligent processing of biomedical data". Thesis, Yeshiva University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3664552.
Texto completoThe rapid development of novel experimental techniques has led to the generation of an abundance of biological data, which holds great potential for elucidating many scientific problems. The analysis of such complex heterogeneous information, which we often have to deal with, requires appropriate state-of-the-art analytical methods. Here we demonstrate how an unconventional approach and intelligent data processing can lead to meaningful results.
This work includes three major parts. In the first part we describe a correction methodology for genome-wide association studies (GWAS). We demonstrate the existing bias for the selection of larger genes for downstream analyses in GWA studies and propose a method to adjust for this bias. Thus, we effectively show the need for data preprocessing in order to obtain a biologically relevant result. In the second part, building on the results obtained in the first part, we attempt to elucidate the underlying mechanisms of aging and longevity by conducting a longevity GWAS. Here we took an unconventional approach to the GWAS analysis by applying the idea of genetic buffering. Doing this allowed us to identify pairs of genetic markers that play a role in longevity. Furthermore, we were able to confirm some of them by means of a downstream network analysis. In the third and final part, we discuss the characteristics of chronic lymphocytic leukemia (CLL) B-cells and perform clustering analysis based on immunoglobulin (Ig) mutation patterns. By comparing the sequences of Ig of CLL patients and healthy donors, we show that different Ig heavy chain (IGHV) regions in CLL exhibit similarities with different B-cell subtypes of healthy donors, which raised a question about the single origin of CLL cases.
Ozbey, Halil. "A Genetic-based Intelligent Intrusion Detection System". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606636/index.pdf.
Texto completos behavior in the absence of negative data. First, we design and develop an intelligent and behavior-based detection mechanism using genetic-based machine learning techniques with subsidies in the Bucket Brigade Algorithm. It classifies the possible system states to be normal and abnormal and interprets the abnormal state observations as evidences for the presence of an intrusion. Next we provide another algorithm which focuses on capturing normal behavior of the target system to detect intrusions again by identifying anomalies. A compact and highly complete rule set is generated by continuously inserting observed states as rules into the rule set and combining similar rule pairs in each step. Experiments conducted using the KDD-99 data set have produced fairly good results for both of the algorihtms.
Abu-Alola, Abdulmohsin. "Genetic algorithms for intelligent control system design". Thesis, University of Wolverhampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282507.
Texto completoGriffiths, Ian. "Microcontroller implementation of artificial intelligence for autonomous guided vehicles". Thesis, University of Wolverhampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266837.
Texto completoCastorina, Giovanni. "Artificial intelligence based hybrid systems for financial forecasting". Thesis, University of the West of England, Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365146.
Texto completoWååg, Håkan. "Development of a Framework for Genetic Algorithms". Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11537.
Texto completoGenetic algorithms is a method of optimization that can be used tosolve many different kinds of problems. This thesis focuses ondeveloping a framework for genetic algorithms that is capable ofsolving at least the two problems explored in the work. Otherproblems are supported by allowing user-made extensions.The purpose of this thesis is to explore the possibilities of geneticalgorithms for optimization problems and artificial intelligenceapplications.To test the framework two applications are developed that look attwo distinct problems, both of which aim at demonstrating differentparts. The first problem is the so called Travelling SalesmanProblem. The second problem is a kind of artificial life simulator,where two groups of creatures, designated predator and prey, aretrying to survive.The application for the Travelling Salesman Problem measures theperformance of the framework by solving such problems usingdifferent settings. The creature simulator on the other hand is apractical application of a different aspect of the framework, wherethe results are compared against predefined data. The purpose is tosee whether the framework can be used to create useful data forthe creatures.The work showed how important a detailed design is. When thework began on the demonstration applications, things were noticedthat needed changing inside the framework. This led to redesigningparts of the framework to support the missing details. A conclusionfrom this is that being more thorough in the planning, andconsidering the possible use cases could have helped avoid thissituation.The results from the simulations showed that the framework iscapable of solving the specified problems, but the performance isnot the best. The framework can be used to solve arbitrary problemsby user-created extensions quite easily.
Kuscu, Ibrahim. "Evolutionary generalisation and genetic programming". Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285062.
Texto completoWong, King-sau y 黃敬修. "Improving the performance of lifts using artificial intelligence techniques". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B2768295X.
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Mechanical Engineering
Doctoral
Doctor of Philosophy
Nettleton, David John. "Evolutionary algorithms in artificial intelligence : a comparative study through applications". Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5951/.
Texto completoMohamad, Khalid Y. "Restimulation candidate selection using virtual intelligence". Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1722.
Texto completoTitle from document title page. Document formatted into pages; contains ix, 176 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 64-65).
Yu, Chen-Ping. "Computational model of MST neuron receptive field and interaction effect for the perception of self-motion /". Online version of thesis, 2008. http://hdl.handle.net/1850/9588.
Texto completoTsang, Yiu-ming. "Intelligent polishing using fuzzy logic and genetic algorithm". View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37206400.
Texto completoTsang, Yiu-ming y 曾耀明. "Intelligent polishing using fuzzy logic and genetic algorithm". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38589291.
Texto completoUshie, Ogri James. "Intelligent optimisation of analogue circuits using particle swarm optimisation, genetic programming and genetic folding". Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13643.
Texto completoWong, Phillip Lee-Ming. "Removing redundancy and reducing fitness evaluation costs in genetic programming : a thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Master of Science in Computer Science /". ResearchArchive@Victoria e-Thesis, 2008. http://hdl.handle.net/10063/541.
Texto completoLi, Jin. "FGP : a genetic programming based tool for financial forecasting". Thesis, University of Essex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343550.
Texto completoLiu, Fang. "Nature inspired computational intelligence for financial contagion modelling". Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/8208.
Texto completoSurme, Turan. "Application of genetic algorithms to open pit design and scheduling". Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319948.
Texto completoWakelam, Mark. "Intelligent hybrid approach for integrated design". Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263942.
Texto completoNARAYANAN, SHRUTHI. "HARDWARE IMPLEMENTATION OF GENETIC ALGORITHM MODULES FOR INTELLIGENT SYSTEMS". University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1122909070.
Texto completoChaiyaratana, Nachol. "Neuro-genetic based hybrid frameworks with applications in biomedicine and robotics". Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298963.
Texto completoLeigh, Ryan E. "Using genetic algorithms to create believable agents". abstract and full text PDF (free order & download UNR users only), 2006. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1438914.
Texto completoSALACHORIS, GEORGIOS PANAGIOTIS. "Exploiting Artificial Intelligence to build realistic numerical models: A Digital Twin application in Structural Health Monitoring". Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295395.
Texto completoStructural Health Monitoring has received wide recognition and development the last years. Advancements have been made in many of the fields, like sensing technologies, applications and data processing. Due to the increasing need for preservation of Cultural Heritage buildings that are affected by the multi hazardous environment and specifically earthquakes, the automatization of Structural Health Monitoring techniques has become an important research subject. The preservation of Cultural Heritage requires the combination of in situ investigations and accurate analytical models in order to understand and correctly interpret the empirical evidence in order to to successfully apply advanced structural analyses and assess the state of Heritage Buildings. The Thesis focuses on the computational methods, correlation techniques and model updating with a nature-inspired metaheuristic algorithm indicating their advantages and drawbacks. The application of all the components comes under the form of a case study where the dynamic behavior of the Civic Tower of Ostra is thoroughly investigated by means of a detailed numerical model and calibrated against the experimental modal features. The pairing is based on the automatic procedure of calibration by a metaheuristic population-based genetic algorithm and use of machine learning. This step allows to successfully estimate the uncertainties of the unknown material parameters, considering both an isotropic and an orthotropic behavioral model for masonry. The results enable to validate the methodology and establish baseline information of the condition of the structure along with performance standards that will serve to control the structural integrity over time.
Heaton, Jeff. "Automated Feature Engineering for Deep Neural Networks with Genetic Programming". Thesis, Nova Southeastern University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10259604.
Texto completoFeature engineering is a process that augments the feature vector of a machine learning model with calculated values that are designed to enhance the accuracy of a model's predictions. Research has shown that the accuracy of models such as deep neural networks, support vector machines, and tree/forest-based algorithms sometimes benefit from feature engineering. Expressions that combine one or more of the original features usually create these engineered features. The choice of the exact structure of an engineered feature is dependent on the type of machine learning model in use. Previous research demonstrated that various model families benefit from different types of engineered feature. Random forests, gradient-boosting machines, or other tree-based models might not see the same accuracy gain that an engineered feature allowed neural networks, generalized linear models, or other dot-product based models to achieve on the same data set.
This dissertation presents a genetic programming-based algorithm that automatically engineers features that increase the accuracy of deep neural networks for some data sets. For a genetic programming algorithm to be effective, it must prioritize the search space and efficiently evaluate what it finds. This dissertation algorithm faced a potential search space composed of all possible mathematical combinations of the original feature vector. Five experiments were designed to guide the search process to efficiently evolve good engineered features. The result of this dissertation is an automated feature engineering (AFE) algorithm that is computationally efficient, even though a neural network is used to evaluate each candidate feature. This approach gave the algorithm a greater opportunity to specifically target deep neural networks in its search for engineered features that improve accuracy. Finally, a sixth experiment empirically demonstrated the degree to which this algorithm improved the accuracy of neural networks on data sets augmented by the algorithm's engineered features.
Roberts, Christopher. "Genetic algorithms for cluster optimization". Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368792.
Texto completoPetrill, Stephen Anthony. "The phenotypic and genetic relationships among school-related temperament, intelligence, and scholastic achievement". Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1057952905.
Texto completoMitchell, Sophia. "A Cascading Fuzzy Logic Approach for Decision Making in Dynamic Applications". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037866.
Texto completoSwift, Adam Glen. "Mapping posthuman discourse and the evolution of living information". Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16439/1/Adam_Swift_Thesis.pdf.
Texto completoSwift, Adam Glen. "Mapping posthuman discourse and the evolution of living information". Queensland University of Technology, 2006. http://eprints.qut.edu.au/16439/.
Texto completoNolle, Lars. "Application of computation intelligence to optimisation problems in the hot rolling of wide steel strip". Thesis, Open University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301882.
Texto completoJohnson, Clayton Matthew. "A grammar-based technique for genetic search and optimization". W&M ScholarWorks, 1996. https://scholarworks.wm.edu/etd/1539623893.
Texto completoSozio, John Charles. "Intelligent Parameter Adaptation for Chemical Processes". Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/34089.
Texto completoMaster of Science