Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Bandit-Based Algorithms for Budgeted Learning

We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is specified. This learning model is appropriate in many areas, including medical applications. We present new algorithms for choosing which attributes to purchase of which examples in the budgeted learning model based on algorithms for the multi-armed bandit problem. All of our approaches outperformed the current state of the art. Furthermore, we present a new means for selecting an example to purchase after the attribute is selected, instead of selecting an example uniformly at random, which is typically done. Our new example selection method improved performance of all the algorithms we tested, both ours and those in the literature.

Ambiente virtual de aprendizagem: estruturação de roteiro para curso online

O presente trabalho visa descrever os passos para desenvolvimento de um curso e sua estrutura em ambiente virtual de aprendizagem Moodle. Para tanto, a pesquisa consistiu na aplicação de conteúdos de enfermagem para oferecimento de curso online em workshop internacional para grupo de estudantes de graduação e licenciatura em enfermagem do Brasil e de Portugal. Durante a pesquisa foram registradas etapas distintas, desde o planejamento do curso passando pela construção e transformação dos conteúdos, até a disponibilização aos estudantes. As atividades interativas e conteúdos foram elaborados pelos professores com participação de equipe técnica. No trabalho são apresentados procedimentos específicos e papéis a serem desempenhados por professores, especialistas, estudantes e técnicos. Os resultados do desenvolvimento e oferecimento do curso online apontaram alguns aspectos a serem aperfeiçoados no processo de trabalho, no formato dos conteúdos e na utilização das ferramentas.

Topics in Local Economic Development

This thesis contributes to the current debate in literature about local economic development by considering two different topics: quality of institutions, and the role of clusters in innovation and productivity growth. The research is built upon three papers. The first paper deals with the analysis of the effect of administrative continuity on administrative efficiency. The analysis underlines the importance of different typologies of social capital. Findings reveal a positive impact on administrative efficiency (AE) by administrative continuity (AC) when it is coupled by bridging and linking social capital. On the contrary, bonding social capital influences negatively the effect by AC on AE. The second paper investigates the spatial interaction in levels of quality of government (QoG) among European regions. Notwithstanding the largely recognised role by institutions in the design of regional policies, no study has been conducted about the mechanisms of interaction and diffusion of QoG at regional level. This research wants to overcome this knowledge gap in literature. Findings reveal a heterogeneity in spatial interaction among groups of regions, i.e. ‘leader regions’ (Northern regions) and ‘lagging regions’ (Southern regions), when considering different mechanisms of interaction (learning / imitating competition and pure competition). Moreover, the effect of wealth on the levels of QoG is nonlinear. Finally, the third paper analyses the relation among specialization and productivity within the agricultural sector. In literature, the study of clusters dynamics has long neglected agriculture. The analysis describes the changes in sectorial specialization for eight main crop groups in Italian regions (NUTS 3), assessing the existence of spatial autocorrelations by using an exploratory data analysis. Furthermore, the effect of specialization on productivity is analysed within the main crop groups using a spatial panel data model. Findings reveal a marked tendency to specialization in the Italian agriculture, and a heterogeneous effect by specialization on productivity.

An Experience-Driven Pedagogy for the Instruction of Software Testing in Computer Science

In the realm of computer programming, the experience of writing a program is used to reinforce concepts and evaluate ability. This research uses three case studies to evaluate the introduction of testing through Kolb's Experiential Learning Model (ELM). We then analyze the impact of those testing experiences to determine methods for improving future courses. The first testing experience that students encounter are unit test reports in their early courses. This course demonstrates that automating and improving feedback can provide more ELM iterations. The JUnit Generation (JUG) tool also provided a positive experience for the instructor by reducing the overall workload. Later, undergraduate and graduate students have the opportunity to work together in a multi-role Human-Computer Interaction (HCI) course. The interactions use usability analysis techniques with graduate students as usability experts and undergraduate students as design engineers. Students get experience testing the user experience of their product prototypes using methods varying from heuristic analysis to user testing. From this course, we learned the importance of the instructors role in the ELM. As more roles were added to the HCI course, a desire arose to provide more complete, quality assured software. This inspired the addition of unit testing experiences to the course. However, we learned that significant preparations must be made to apply the ELM when students are resistant. The research presented through these courses was driven by the recognition of a need for testing in a Computer Science curriculum. Our understanding of the ELM suggests the need for student experience when being introduced to testing concepts. We learned that experiential learning, when appropriately implemented, can provide benefits to the Computer Science classroom. When examined together, these course-based research projects provided insight into building strong testing practices into a curriculum.

A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES

The considerable search for synergistic agents in cancer research is motivated by the therapeutic benefits achieved by combining anti-cancer agents. Synergistic agents make it possible to reduce dosage while maintaining or enhancing a desired effect. Other favorable outcomes of synergistic agents include reduction in toxicity and minimizing or delaying drug resistance. Dose-response assessment and drug-drug interaction analysis play an important part in the drug discovery process, however analysis are often poorly done. This dissertation is an effort to notably improve dose-response assessment and drug-drug interaction analysis. The most commonly used method in published analysis is the Median-Effect Principle/Combination Index method (Chou and Talalay, 1984). The Median-Effect Principle/Combination Index method leads to inefficiency by ignoring important sources of variation inherent in dose-response data and discarding data points that do not fit the Median-Effect Principle. Previous work has shown that the conventional method yields a high rate of false positives (Boik, Boik, Newman, 2008; Hennessey, Rosner, Bast, Chen, 2010) and, in some cases, low power to detect synergy. There is a great need for improving the current methodology. We developed a Bayesian framework for dose-response modeling and drug-drug interaction analysis. First, we developed a hierarchical meta-regression dose-response model that accounts for various sources of variation and uncertainty and allows one to incorporate knowledge from prior studies into the current analysis, thus offering a more efficient and reliable inference. Second, in the case that parametric dose-response models do not fit the data, we developed a practical and flexible nonparametric regression method for meta-analysis of independently repeated dose-response experiments. Third, and lastly, we developed a method, based on Loewe additivity that allows one to quantitatively assess interaction between two agents combined at a fixed dose ratio. The proposed method makes a comprehensive and honest account of uncertainty within drug interaction assessment. Extensive simulation studies show that the novel methodology improves the screening process of effective/synergistic agents and reduces the incidence of type I error. We consider an ovarian cancer cell line study that investigates the combined effect of DNA methylation inhibitors and histone deacetylation inhibitors in human ovarian cancer cell lines. The hypothesis is that the combination of DNA methylation inhibitors and histone deacetylation inhibitors will enhance antiproliferative activity in human ovarian cancer cell lines compared to treatment with each inhibitor alone. By applying the proposed Bayesian methodology, in vitro synergy was declared for DNA methylation inhibitor, 5-AZA-2'-deoxycytidine combined with one histone deacetylation inhibitor, suberoylanilide hydroxamic acid or trichostatin A in the cell lines HEY and SKOV3. This suggests potential new epigenetic therapies in cell growth inhibition of ovarian cancer cells.

Using service-learning to encourage community health advocacy among high school students

The project outlined throughout this program management plan aims to develop a health-focused student advocacy group in the San Antonio Independent School District (SAISD). At its core, this project will be an opportunity for SAISD students to engage in service-learning, through which they will learn and develop by designing, organizing and participating in meaningful public health service experiences. ^ This program management plan addresses the genuine need for public health community education by using the service-learning model as a framework to engage students to effect change. The plan delineates the process by which the student advocacy group is to be assembled, selection of service-learning project, project objectives, technical objectives, and communication requirements. Ideally, the plan should help to facilitate project coordination, communication, and planning, and to support the direction of resources. The appendices that follow also provide useful tools with which to follow through with project implementation. ^ The plan is about more than providing a tool to educate students about the health issues in their community. It is about providing a way to teach health advocacy and self-interest and encourage civic engagement via public health. Students have the potential to positively effect lasting change among their peers, in their schools and in the community.^

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.

El escrito en la oralidad: el texto intentado

A partir de una breve presentación de los trabajos realizados por el grupo GREAL en la línea de establecer relaciones entre el uso y los conocimientos lingüísticos, el artículo se centra en la investigación realizada sobre la interacción oral para la composición escrita en colaboración. La producción de textos en grupo se encuadra en el modelo de secuencia didáctica (SD), desarrollado y experimentado por los autores para la enseñanza y el aprendizaje de la composición escrita, cuyas características se describen sucintamente. En este marco se presentan, ejemplifican y analizan los conceptos de texto intentado (Ti), en contraposición al texto escrito (Te), y de reformulación como constructos teórico-metodológicos aptos para la interpretación de las operaciones y factores sociocognitivos que intervienen en los procesos de escritura y también para analizar la actividad lingüística y metalingüística de los participantes en la actividad de composición escrita. La aplicación de los instrumentos de análisis citados ofrece información relevante sobre: a) las operaciones de planificación, textualización y revisión durante el proceso de elaboración del texto; b) las posibles causas de las modificaciones que experimenta el texto a lo largo del proceso: mecanismos de cohesión textual, posición enunciativa, corrección normativa y adecuación de los escritos. Permite, asimismo, avanzar la hipótesis que la elaboración de textos en colaboración contribuye a potenciar la actividad metalingüística y el aprendizaje.

El escrito en la oralidad: el texto intentado

A partir de una breve presentación de los trabajos realizados por el grupo GREAL en la línea de establecer relaciones entre el uso y los conocimientos lingüísticos, el artículo se centra en la investigación realizada sobre la interacción oral para la composición escrita en colaboración. La producción de textos en grupo se encuadra en el modelo de secuencia didáctica (SD), desarrollado y experimentado por los autores para la enseñanza y el aprendizaje de la composición escrita, cuyas características se describen sucintamente. En este marco se presentan, ejemplifican y analizan los conceptos de texto intentado (Ti), en contraposición al texto escrito (Te), y de reformulación como constructos teórico-metodológicos aptos para la interpretación de las operaciones y factores sociocognitivos que intervienen en los procesos de escritura y también para analizar la actividad lingüística y metalingüística de los participantes en la actividad de composición escrita. La aplicación de los instrumentos de análisis citados ofrece información relevante sobre: a) las operaciones de planificación, textualización y revisión durante el proceso de elaboración del texto; b) las posibles causas de las modificaciones que experimenta el texto a lo largo del proceso: mecanismos de cohesión textual, posición enunciativa, corrección normativa y adecuación de los escritos. Permite, asimismo, avanzar la hipótesis que la elaboración de textos en colaboración contribuye a potenciar la actividad metalingüística y el aprendizaje.

El escrito en la oralidad: el texto intentado

A partir de una breve presentación de los trabajos realizados por el grupo GREAL en la línea de establecer relaciones entre el uso y los conocimientos lingüísticos, el artículo se centra en la investigación realizada sobre la interacción oral para la composición escrita en colaboración. La producción de textos en grupo se encuadra en el modelo de secuencia didáctica (SD), desarrollado y experimentado por los autores para la enseñanza y el aprendizaje de la composición escrita, cuyas características se describen sucintamente. En este marco se presentan, ejemplifican y analizan los conceptos de texto intentado (Ti), en contraposición al texto escrito (Te), y de reformulación como constructos teórico-metodológicos aptos para la interpretación de las operaciones y factores sociocognitivos que intervienen en los procesos de escritura y también para analizar la actividad lingüística y metalingüística de los participantes en la actividad de composición escrita. La aplicación de los instrumentos de análisis citados ofrece información relevante sobre: a) las operaciones de planificación, textualización y revisión durante el proceso de elaboración del texto; b) las posibles causas de las modificaciones que experimenta el texto a lo largo del proceso: mecanismos de cohesión textual, posición enunciativa, corrección normativa y adecuación de los escritos. Permite, asimismo, avanzar la hipótesis que la elaboración de textos en colaboración contribuye a potenciar la actividad metalingüística y el aprendizaje.

An example of Learning based on competences: Use of Maxima in Linear Algebra for Engineers

This paper analyzes the role of Computer Algebra Systems (CAS) in a model of learning based on competences. The proposal is an e-learning model Linear Algebra course for Engineering, which includes the use of a CAS (Maxima) and focuses on problem solving. A reference model has been taken from the Spanish Open University. The proper use of CAS is defined as an indicator of the generic ompetence: Use of Technology. Additionally, we show that using CAS could help to enhance the following generic competences: Self Learning, Planning and Organization, Communication and Writing, Mathematical and Technical Writing, Information Management and Critical Thinking.

Uso de un sistema para la gestión del aprendizaje (LMS) de código libre en la Universidad Tecnológica del Suroeste de Guanajuato (UTSOE)

The use of the Information and Communication Technologies (ICT) in Learning Environment allows achieving the maximum interaction between Teachers and Students.The Virtual Learning Environments are computer programs that benefit the learning facilitating the communication between users. Open Source software allow to create the own online modular learning environment with a fast placed in service. In the present paper the use of a Learning Management Systems (LMS) as continuous education tool is proposed.

Estructuras argumentativas de estudiantes para profesores de matemáticas en un entorno en linea

El objetivo de esta investigación fue estudiar cómo aprenden estudiantes para profesores de educación secundaria a analizar la enseñanza de las matemáticas como un aspecto del desarrollo de su competencia docente. Para ello, analizamos la estructura argumentativa de una discusión en línea entre estudiantes para profesores de enseñanza secundaria cuando están identificando e interpretando aspectos de la comunicación matemática como un rasgo característico de la enseñanza de las matemáticas. Para realizar el análisis, usamos el esquema de un argumento de Toulmin y centramos nuestra atención en cómo los estudiantes para profesor establecían la relación entre las conclusiones y los datos y cómo usaban las garantías. Los resultados muestran tres características de las estructuras argumentativas generadas por los estudiantes para profesor en un debate en línea que determinan oportunidades para el aprendizaje de la competencia docente “mirar con sentido” la enseñanza de las matemáticas: refinar garantías para apoyar una conclusión, discutir sobre cómo se debe establecer una conclusión para que sea admitida, y poner en duda las conclusiones.

Los MOOC. Un nuevo modelo de e-learning en el panorama educativo actual

La educación está enmarcada por las características de una sociedad actual en la que internet es el medio donde se están implementando nuevos enfoques dirigidos a la formación. Los MOOC, así, se están configurando como una nueva forma de e-learning en el contexto actual, especialmente en la enseñanza superior. En este trabajo abordamos este nuevo término para analizar, por un lado, su significado, características y principales plataformas virtuales que los ofrecen y, por otro lado, las cuestiones que deben resolverse con el fin de configurar un nuevo modelo de e-learning. Concluimos que este nuevo modelo debe ser acorde con una planificación de política educativa y análisis curricular.