Naufrágios e outros infortúnios na História Trágico-Marítima da carreira da Índia (Séculos XVI e XVII)

Pós-graduação em História - FCHS

Conversas sobre matemática com pessoas idosas viabilizadas por uma ação de extensão universitária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A emergência do conceito da interculturalidade no ensino e aprendizagem de língua estrangeira

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O Brasil entre a história narrativa e a história analítica (1840-1870): civilização, progresso e desenvolvimento

Pós-graduação em História - FCHS

Introdução a álgebra no ensino fundamental: o “X” da questão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Currículo na educação infantil: implicações da teoria Histórico-Cultural

Pós-graduação em Educação - FFC

O grupo de estudos e discussão como subsídio ao desenvolvimento de interações discursivas entre professores de física sobre a temática teoria da relatividade

Based on the assumption that the exchange of knowledge can support a process of self-organized interactions of the involved in the process, we present the results of a study about how happen the dialogue between physics teachers involved in a group of study of Modern and Contemporary Physics. With the support of the propositions of Bakhtin about the potential of the discourse and discursive interactions studies, we identified interesting regularities in how organize discussions among teachers, identifying a scheme that allows us to infer the effectiveness of the enforcement of this form of lead and mediate the discussions in groups of continuous formation of physics teachers to other topics, as well as adding arguments in defense of the groups of discussion as a strategy for continuing formation of teachers.

Ceramic technology of the Asurini do Xingu, Brazil: An ethnoarchaeological study of artifact variability

This article presents some of the results of ethnoarchaeological research on ceramic technology I have conducted among the Asurini do Xingu, an Amazonian indigenous population inhabiting a village in the margins of the Xingu River, Para, Brazil. Based on collected data, presented throughout the article, I discuss the reasons behind the formal, quantitative, spatial and relational variability of the Asurini ceramic vessels. This work will demonstrate that these distinct dimensions of variability are related to the potters` technological choices during the vessels` production process, the ceramic teaching-learning structure, and the type, frequency, method and context of use of the same vessels. I try to make clear the different practical and symbolic aspects that may influence the production, use, reuse, storage and discard processes of the vessels. Furthermore, I compare the Asurini context with other ethnographic contexts and try to distinguish regularities that may serve as interpretative references to the study of archaeological ceramic assemblages.

Homophobic discourse in blogs: Weaving of violence and network

This article aims at analyzing the effects of meaning installed in the discursive space of a blog, especially a formulation of discriminatory nature which was posted in November, 2011 and considerably discussed in other discursive spaces on the Internet. By means of French Discourse Analysis, we sought to track the memory networks and the ideological effects that are at play in the discourse on homosexuals posted by browsers-subjects and how they update the meanings already there in order to install effects of prejudice and hatred. Our interest is also to catch the meanings of violence inscribed in the electronic network and analyze the functioning of the language in motion in this space bordered by the imaginary in which it is possible to say anything. Hence, by means of the analyses performed in this study, we observed these effects of the subject's full freedom when he/she subscribes to the electronic network without fear of any punishment of any order. The discourses of intolerance and hatred posted on the blog by the subject give voice to a discursive confrontation observed by marks of agreement or indignation, supported by the discursive memory. Thus, we observed the interruption of regularities that break up with a supposed linearity in the discourse, putting the contradiction and the heterogeneous nature of the sayings on the net in motion.

Genome characterization through a mathematical model of the genetic code: an analysis of the whole chromosome 1 of A. thaliana

The objective of this work is to characterize the genome of the chromosome 1 of A.thaliana, a small flowering plants used as a model organism in studies of biology and genetics, on the basis of a recent mathematical model of the genetic code. I analyze and compare different portions of the genome: genes, exons, coding sequences (CDS), introns, long introns, intergenes, untranslated regions (UTR) and regulatory sequences. In order to accomplish the task, I transformed nucleotide sequences into binary sequences based on the definition of the three different dichotomic classes. The descriptive analysis of binary strings indicate the presence of regularities in each portion of the genome considered. In particular, there are remarkable differences between coding sequences (CDS and exons) and non-coding sequences, suggesting that the frame is important only for coding sequences and that dichotomic classes can be useful to recognize them. Then, I assessed the existence of short-range dependence between binary sequences computed on the basis of the different dichotomic classes. I used three different measures of dependence: the well-known chi-squared test and two indices derived from the concept of entropy i.e. Mutual Information (MI) and Sρ, a normalized version of the “Bhattacharya Hellinger Matusita distance”. The results show that there is a significant short-range dependence structure only for the coding sequences whose existence is a clue of an underlying error detection and correction mechanism. No doubt, further studies are needed in order to assess how the information carried by dichotomic classes could discriminate between coding and noncoding sequence and, therefore, contribute to unveil the role of the mathematical structure in error detection and correction mechanisms. Still, I have shown the potential of the approach presented for understanding the management of genetic information.

Visualization and validation of (Q)SAR models

Analyzing and modeling relationships between the structure of chemical compounds, their physico-chemical properties, and biological or toxic effects in chemical datasets is a challenging task for scientific researchers in the field of cheminformatics. Therefore, (Q)SAR model validation is essential to ensure future model predictivity on unseen compounds. Proper validation is also one of the requirements of regulatory authorities in order to approve its use in real-world scenarios as an alternative testing method. However, at the same time, the question of how to validate a (Q)SAR model is still under discussion. In this work, we empirically compare a k-fold cross-validation with external test set validation. The introduced workflow allows to apply the built and validated models to large amounts of unseen data, and to compare the performance of the different validation approaches. Our experimental results indicate that cross-validation produces (Q)SAR models with higher predictivity than external test set validation and reduces the variance of the results. Statistical validation is important to evaluate the performance of (Q)SAR models, but does not support the user in better understanding the properties of the model or the underlying correlations. We present the 3D molecular viewer CheS-Mapper (Chemical Space Mapper) that arranges compounds in 3D space, such that their spatial proximity reflects their similarity. The user can indirectly determine similarity, by selecting which features to employ in the process. The tool can use and calculate different kinds of features, like structural fragments as well as quantitative chemical descriptors. Comprehensive functionalities including clustering, alignment of compounds according to their 3D structure, and feature highlighting aid the chemist to better understand patterns and regularities and relate the observations to established scientific knowledge. Even though visualization tools for analyzing (Q)SAR information in small molecule datasets exist, integrated visualization methods that allows for the investigation of model validation results are still lacking. We propose visual validation, as an approach for the graphical inspection of (Q)SAR model validation results. New functionalities in CheS-Mapper 2.0 facilitate the analysis of (Q)SAR information and allow the visual validation of (Q)SAR models. The tool enables the comparison of model predictions to the actual activity in feature space. Our approach reveals if the endpoint is modeled too specific or too generic and highlights common properties of misclassified compounds. Moreover, the researcher can use CheS-Mapper to inspect how the (Q)SAR model predicts activity cliffs. The CheS-Mapper software is freely available at http://ches-mapper.org.

Multimodal Integration in Statistical Learning: Evidence from the McGurk Illusion

Recent advances in the field of statistical learning have established that learners are able to track regularities of multimodal stimuli, yet it is unknown whether the statistical computations are performed on integrated representations or on separate, unimodal representations. In the present study, we investigated the ability of adults to integrate audio and visual input during statistical learning. We presented learners with a speech stream synchronized with a video of a speaker's face. In the critical condition, the visual (e.g., /gi/) and auditory (e.g., /mi/) signals were occasionally incongruent, which we predicted would produce the McGurk illusion, resulting in the perception of an audiovisual syllable (e.g., /ni/). In this way, we used the McGurk illusion to manipulate the underlying statistical structure of the speech streams, such that perception of these illusory syllables facilitated participants' ability to segment the speech stream. Our results therefore demonstrate that participants can integrate audio and visual input to perceive the McGurk illusion during statistical learning. We interpret our findings as support for modality-interactive accounts of statistical learning.

Proceedings of the Eighth Annual Biochemical Engineering Symposium

Contents"Effects of Swell-Shear Treatment on the Digestibility of Cellulosics", Dou-Houng Hwang, UMC "Application of Material and Energy Balance Regularities to Biomass Production from Cellulosic Substrates", Y.H. Lee, KSU "Immobilization of Aspergillus niger beta-Xylosidase", Gbekeloluwa B. Oguntimein, ISU "The Effect of the Major Structural Parameters of Cellulose on Enzymatic Hydrolysis", David H. Beardmore, Y.H. Lee, and L.T. Fan, KSU "Purification of a High Molecular Weight Hemicellulase", Ricardo A. Fournier, ISU "Aerobic Fermentation of Banana Pulp by Aspergillus Fumigatus", Stephen Lorbert, UMC "Purification and Properties of Two Very Small Xylanases", Chih-hen Kiang, ISU "Testing Theoretical Models for Cellulose Enzymatic Hydrolysis", Lin-Chang Chiang, UMC "Utilization of Material and Energy Balances in Hydrocarbon Fermentation", Alexis Ferrer, KSU "Purification of a Series of Closely Related Xylanases", Mary M. Frederick, ISU

Beyond statistical learning? Continuous sequence repetition matters in implicit sequence learning

Typically, statistical learning is investigated by testing the acquisition of specific items or forming general rules. As implicit sequence learning also involves the extraction of regularities from the environment, it can also be considered as an instance of statistical learning. In the present study, a Serial Reaction Time Task was used to test whether the continuous versus interleaved repetition of a sequence affects implicit learning despite the equal exposure to the sequences. The results revealed a sequence learning advantage for the continuous repetition condition compared to the interleaved condition. This suggests that by repetition, additional sequence information was extracted although the exposure to the sequences was identical as in the interleaved condition. The results are discussed in terms of similarities and potential differences between typical statistical learning paradigms and sequence learning.

A Dynamical Tool to Study the Cultural Context of Conflict Escalation

The present article describes research in progress which is developing a simple, replicable methodology aimed at identifying the regularities and specificity of human behavior in conflict escalation and de-escalation prooesses. These research efforts will ultimately be used to study conflict dynamics across cultures. The experimental data collected through this methodology, together with case studies and aggregated, time-series macro data are key for identifying relevant parameters, systems' properties, and micromechanisms defining the behavior of naturally occurring conflict escalation and de-escalation dynamics. This, in turn, is critical for the development of realistic, empirically supported computational models. The article outlines the theoretical assumptions of Dynamical Systems Theory with regard to conflict dynamics, with an emphasis on the process of conflict escalation and de-escalation. Next, work on a methodology for empirical study of escalation processes from a DST perspective is outlined. Specifically, the development of a progressive scenario methodology designed to map escalation sequences, together with anexample of a preliminary study based on the proposed researcb paradigm, is presented. Implications of the approach for the study of culture are discussed.