As multiplicidades espaciais na comunicação midiática digital

Pós-graduação em Comunicação - FAAC

Monitoramento das perdas de solo da sub-bacia Ribeirão das Bicas - Botucatu/SP, utilizando fotogrametria digital

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

An improved interolog mapping-based computational prediction of protein protein interactions with increased network coverage

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Biblioteca digital virtual e a leitura de textos em tabletes

Pós-graduação em Educação - FFC

Gestão de imagens em movimento de matérias jornalísticas em banco de dados na TV Digital

Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC

A pesquisa em televisão digital no Brasil: apontamento sobre o levantamento bibliográfico realizado de 1995-2008 sobre o assunto

In Brazil, the discussion about thereplacement of analog television signals to digitaland its impact on society, in media companies andgovernment began in the 90s. Embryonic steps towardsdigitalisation of the television signal ground were thegovernment of Fernando Collor de Mello (1990-1992),with advances during the government of FernandoHenrique Cardoso (1994-2001) and in the governmentof Luiz Inacio Lula da Silva (2002). The academy startsthe discussion in 1996. This article aims to bring to lightthe results obtained from the survey Digital television:a historical perspective , which received the supportof CNPq for funding of two scholarships for scientifi cinitiation between August 2008 and July 2009. Theproject sought to identify what has been published onthe subject in the fi eld of Social Sciences and from threemacrodescritores (information management, publicpolicy and value chain), providing the li ing of a virtualcollection Zotero bibliographic innovative platform.The mapping serves to show the growing interest anddevelopment of research in the country during theperiod - when the number jumped to three works inthe fi rst seven years (1995-2001) to 198 in the last sevenyears (2002-2008). The research sought to identify themajor authors and works related to digital televisionand published in the country. The survey took intoaccount books, articles published in books, journals,Annals of Compós and Intercom, and dissertations andtheses. Data and refl ections on the survey are containedin this communication.

Movimentos sociais, ecologia digital, mídias radicais e as narrativas anticapitalistas na esfera pública alternativa global

This article seeks to contribute to the debate on the importance of cultural collective producers of anti-capitalist content, ownership of digital ecology by subaltern segments, the creation of the opposition media to exclusionary globalization and the articulation of alternative and radical public sphere for the recent demonstrations policies in planetary scale. Data were collected in the first half of 2013, on a course completion project in vehicles with citizen journalism characteristics ["Portal Fórum", "Outras Palavras" and "Observatório da Imprensa"]. Partial these mapping results indicate that these manifestations inherited anti-capitalist demands of previous decades, and amplified in [by digitally pathways] in political demonstrations that swept those abrasive months in major cities worldwide.

Geotecnologia aplicada no estudo e planejamento de ocupação e uso do solo em uma bacia hidrográfica para fins agrícolas e conservacionistas

The study aimed to obtain the land use of the watershed Ribeirão Santo Antonio - São Manuel (SP), through the thematic map of the satellite image. The cartographic databases were planialtimetric letter in digital format used in georeferencing and the satellite image. Geographic Information Systems (GIS) -IDRISI Andes 15.0 was use to perform the image georeferencing and to do the thematic map obtained from the visual interpretation the satellite image. The map of land use showed that the culture of sugar cane occupies most of the area (81.00%), when analyzing the satellite image. This result show us the predominance of agricultural occupation in the region. The thematic map obtained by the classification screen, using GIS, allowed the mapping of land use, generating data that will assist in future planning area recovery. The results of the study showed the efficiency, speed and reliability of the tools used, these being very useful for future projects.

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription

Abstract Background RNAs transcribed from intronic regions of genes are involved in a number of processes related to post-transcriptional control of gene expression. However, the complement of human genes in which introns are transcribed, and the number of intronic transcriptional units and their tissue expression patterns are not known. Results A survey of mRNA and EST public databases revealed more than 55,000 totally intronic noncoding (TIN) RNAs transcribed from the introns of 74% of all unique RefSeq genes. Guided by this information, we designed an oligoarray platform containing sense and antisense probes for each of 7,135 randomly selected TIN transcripts plus the corresponding protein-coding genes. We identified exonic and intronic tissue-specific expression signatures for human liver, prostate and kidney. The most highly expressed antisense TIN RNAs were transcribed from introns of protein-coding genes significantly enriched (p = 0.002 to 0.022) in the 'Regulation of transcription' Gene Ontology category. RNA polymerase II inhibition resulted in increased expression of a fraction of intronic RNAs in cell cultures, suggesting that other RNA polymerases may be involved in their biosynthesis. Members of a subset of intronic and protein-coding signatures transcribed from the same genomic loci have correlated expression patterns, suggesting that intronic RNAs regulate the abundance or the pattern of exon usage in protein-coding messages. Conclusion We have identified diverse intronic RNA expression patterns, pointing to distinct regulatory roles. This gene-oriented approach, using a combined intron-exon oligoarray, should permit further comparative analysis of intronic transcription under various physiological and pathological conditions, thus advancing current knowledge about the biological functions of these noncoding RNAs.

A Unitary Approach to Information and Estimation Theory in Digital Communication Systems

This thesis presents the outcomes of a Ph.D. course in telecommunications engineering. It is focused on the optimization of the physical layer of digital communication systems and it provides innovations for both multi- and single-carrier systems. For the former type we have first addressed the problem of the capacity in presence of several nuisances. Moreover, we have extended the concept of Single Frequency Network to the satellite scenario, and then we have introduced a novel concept in subcarrier data mapping, resulting in a very low PAPR of the OFDM signal. For single carrier systems we have proposed a method to optimize constellation design in presence of a strong distortion, such as the non linear distortion provided by satellites' on board high power amplifier, then we developed a method to calculate the bit/symbol error rate related to a given constellation, achieving an improved accuracy with respect to the traditional Union Bound with no additional complexity. Finally we have designed a low complexity SNR estimator, which saves one-half of multiplication with respect to the ML estimator, and it has similar estimation accuracy.

Thin-Film Sparse Boundary Array Design for Passive Acoustic Mapping During Ultrasound Therapy

A new 2-D hydrophone array for ultrasound therapy monitoring is presented, along with a novel algorithm for passive acoustic mapping using a sparse weighted aperture. The array is constructed using existing polyvinylidene fluoride (PVDF) ultrasound sensor technology, and is utilized for its broadband characteristics and its high receive sensitivity. For most 2-D arrays, high-resolution imagery is desired, which requires a large aperture at the cost of a large number of elements. The proposed array's geometry is sparse, with elements only on the boundary of the rectangular aperture. The missing information from the interior is filled in using linear imaging techniques. After receiving acoustic emissions during ultrasound therapy, this algorithm applies an apodization to the sparse aperture to limit side lobes and then reconstructs acoustic activity with high spatiotemporal resolution. Experiments show verification of the theoretical point spread function, and cavitation maps in agar phantoms correspond closely to predicted areas, showing the validity of the array and methodology.

Mining for Class-Specific Motifs in Protein Sequence Classification

Background: In protein sequence classification, identification of the sequence motifs or n-grams that can precisely discriminate between classes is a more interesting scientific question than the classification itself. A number of classification methods aim at accurate classification but fail to explain which sequence features indeed contribute to the accuracy. We hypothesize that sequences in lower denominations (n-grams) can be used to explore the sequence landscape and to identify class-specific motifs that discriminate between classes during classification. Discriminative n-grams are short peptide sequences that are highly frequent in one class but are either minimally present or absent in other classes. In this study, we present a new substitution-based scoring function for identifying discriminative n-grams that are highly specific to a class. Results: We present a scoring function based on discriminative n-grams that can effectively discriminate between classes. The scoring function, initially, harvests the entire set of 4- to 8-grams from the protein sequences of different classes in the dataset. Similar n-grams of the same size are combined to form new n-grams, where the similarity is defined by positive amino acid substitution scores in the BLOSUM62 matrix. Substitution has resulted in a large increase in the number of discriminatory n-grams harvested. Due to the unbalanced nature of the dataset, the frequencies of the n-grams are normalized using a dampening factor, which gives more weightage to the n-grams that appear in fewer classes and vice-versa. After the n-grams are normalized, the scoring function identifies discriminative 4- to 8-grams for each class that are frequent enough to be above a selection threshold. By mapping these discriminative n-grams back to the protein sequences, we obtained contiguous n-grams that represent short class-specific motifs in protein sequences. Our method fared well compared to an existing motif finding method known as Wordspy. We have validated our enriched set of class-specific motifs against the functionally important motifs obtained from the NLSdb, Prosite and ELM databases. We demonstrate that this method is very generic; thus can be widely applied to detect class-specific motifs in many protein sequence classification tasks. Conclusion: The proposed scoring function and methodology is able to identify class-specific motifs using discriminative n-grams derived from the protein sequences. The implementation of amino acid substitution scores for similarity detection, and the dampening factor to normalize the unbalanced datasets have significant effect on the performance of the scoring function. Our multipronged validation tests demonstrate that this method can detect class-specific motifs from a wide variety of protein sequence classes with a potential application to detecting proteome-specific motifs of different organisms.