AVALIAÇÃO DA ACEITAÇÃO DO PORTAL INOVAÇÃO: UM ESTUDO DE CASO

Esta pesquisa apresenta estudo de caso cujo objetivo foi analisar a aceitação do Portal Inovação, identificando os fatores preditivos da intenção comportamental de uso e do comportamento de uso direcionadores da adoção da tecnologia por seus usuários via extensão do Modelo Unificado de Aceitação de Tecnologia, denominado pela sigla UTAUT (Unified Theory of Acceptance and Use of Technololgy) de Venkatesh et al. (2003). O objeto da pesquisa o Portal Inovação foi desenvolvido pelo Ministério da Ciência, Tecnologia e Inovação (MCTI) em parceria com o Centro de Gestão e Estudos Estratégicos (CGEE), Associação Brasileira de Desenvolvimento Industrial (ABDI) e Instituto Stela, visando atender às demandas do Sistema Nacional de Ciência, Tecnologia e Inovação (SNCTI) do País. Para atingir os objetivos propostos, recorreu-se às abordagens qualitativa, que foi subsidiada pelo método estudo de caso (YIN, 2005) e quantitativa, apoiada pela metodologia UTAUT, aplicada a usuários do portal e que contemplou o resultado de 264 respondentes validados. Quanto ao material de análise, utilizou-se da pesquisa bibliográfica sobre governo eletrônico (e-Gov), Internet, Sistema Nacional de Inovação, modelos de aceitação de tecnologia, dados oficiais públicos e legislações atinentes ao setor de inovação tecnológica. A técnica de análise empregada quantitativamente consistiu no uso de modelagem por equações estruturais, com base no algoritmo PLS (Partial Least Square) com bootstrap de 1.000 reamostragens. Os principais resultados obtidos demonstraram alta magnitude e significância preditiva sobre a Intenção Comportamental de Uso do Portal pelos fatores: Expectativa de Desempenho e Influência Social. Além de evidenciarem que as condições facilitadoras impactam significativamente sobre o Comportamento de Uso dos usuários. A conclusão principal do presente estudo é a de que ao considerarmos a aceitação de um portal governamental em que a adoção é voluntária, o fator social é altamente influente na intenção de uso da tecnologia, bem como os aspectos relacionados à produtividade consequente do usuário e o senso de utilidade; além da facilidade de interação e domínio da ferramenta. Tais constatações ensejam em novas perspectivas de pesquisa e estudos no âmbito das ações de e-Gov, bem como no direcionamento adequado do planejamento, monitoramento e avaliação de projetos governamentais.

ENSINO MÉDIO, LÍNGUA PORTUGUESA E PORTAL EDUCACIONAL: percepções emergentes das narrativas de alunos inseridos em práticas de letramento digital

A educação contemporânea está inserida num contexto de velozes e dinâmicas transformações sociais e culturais, principalmente com o avanço e incorporação das Tecnologias Digitais de Informação e Comunicação (TDIC) no cotidiano das pessoas. Na Sociedade da Informação, na Era do Conhecimento, é preciso ir além do saber ler, escrever e digitar. A escola, por sua vez, de maneira ainda morosa, busca adequar-se às exigências do universo digital do qual participam seus agentes. O Ensino Médio, foco de preocupação e reflexão por todos os envolvidos no processo educativo dessa modalidade, tenta alcançar sua proposta de formação integral dos jovens para o exercício do trabalho e da cidadania. À disciplina Língua Portuguesa reserva-se a missão de conciliar o ensino da norma-culta com os gêneros discursivos de tal forma a promover a inclusão digital dos alunos nas diversas circunstâncias de letramento às quais são submetidos. Nesse âmbito, este trabalho investigou: Que percepções dos processos formativos emergem quando os alunos refletem acerca das práticas pedagógicas e das vivências nas aulas de Língua Portuguesa em atividades mediadas por portal educacional? O objetivo geral da pesquisa é provocar a reflexão nos professores, de tal forma que repensem suas práticas pedagógicas e seu papel no processo educativo a fim de promover uma experiência educativa mais condizente com a realidade dos alunos. A metodologia adotada foi a pesquisa qualitativa de cunho investigativo, na modalidade narrativa, sob a luz de Clandinin e Connelly (2011). Pela inserção no cenário e proximidade afetiva com os participantes, assumiu-se o desafio de desenvolver uma pesquisa-ação, para isso, os instrumentos investigativos adotados foram: entrevista semiestruturada, diário de bordo, atividades realizadas no portal, conversas informais e caderno de campo. A análise dos dados permitiu a elaboração de oito categorias de análise, emergentes das narrativas dos participantes: interação e comunicação; sala de aula ampliada; gestão da aprendizagem; o registro de si e do outro; aprendizagem colaborativa e transformadora; incentivo à pesquisa; estudo autônomo; e, desafios. Os resultados alcançados apontaram para reflexões que não se encerram nas páginas deste trabalho, dentre elas destacam-se: a importância de ouvir o aluno para que as propostas pedagógicas sejam revistas e melhoradas; o testar, nas práticas diárias, é fundamental, é o buscar algo além do tradicional, em prol de um objetivo de aprendizagem definido; o desejo de aprender pode despertar no aluno o interesse pelo conhecimento, tornando-o mais autônomo em suas escolhas e caminhos; as TDIC podem colaborar com o processo de ensino e de aprendizagem, porém exigem envolvimento dos sujeitos, pois elas, enquanto instrumentos, não configuram o conhecimento, são os agentes que ao apropriar-se delas têm condições de obter o melhor de suas potencialidades. Futuros trabalhos poderão dar continuidade a este estudo e trazer grandes acréscimos ao contemplar as influências do uso das TDIC no cotidiano da escola, o que, certamente, será de grande contribuição para o cenário atual da Educação brasileira.

Análise do uso do Portal de Periódicos da CAPES na perspectiva de mestres e doutores formados pelo Programa de Pós-graduação em Administração da UFRN

The Brazilian CAPES Journal Portal aims to provide Information in Science and Technology (IST) for academic users. Thus, it is considered a relevant instrument for post-graduation dynamics and the country´s Science and Technology (S&T) development. Despite its importance, there are still few studies that focus on the policy analysis and efficiency of these resources. This research aims to fill in this gap once it proposes an analysis of the use of the CAPES Journal Portal done on behalf of the master´s and doctoral alumni of the Post Graduate Program in Management (PPGA) at the Federal University of Rio Grande do Norte (UFRN). The operationalization of the research´s main objective was possible through the specific objectives: characterize graduate profile as CAPES Journal Portal users b) identify motivation for the use of CAPES Journal Portal c) detect graduate satisfaction degree in information seeking done at CAPES Journal Portal d) verify graduate satisfaction regarding the use of the CAPES Journal Portal e) verify the use of the information that is obtained by graduates in the development of their academic activities. The research is of descriptive nature employing a mixed methodological strategy in which quantitative approach predominates. Data collection was done through a web survey questionnaire. Quantitative data analysis was made possible through the use of a statistical method. As for qualitative analysis, there was use of the Brenda Dervin´s sense-making approach as well as content analysis in open ended questions. The research samples were composed by 90 graduate students who had defended their dissertation/thesis in the PPGA program at UFRN in the time span of 2010-2013. This represented by 88% of this population. As for user profile, the analysis has made evident that there are no quantitative differences related to gender. There is predominance of male graduates that were aged 26 to 30 years old. As for female graduates, the great majority were 31 o 35 years old. Most graduates had Master´s degree scholarship in order to support their study. It was also seen that the great majority claim to use the Portal during their post graduation studies. The main reasons responsible for non use was: preference for the use of other data bases and lack of knowledge regarding the Portal. It was observed that the most used information resources were theses and dissertations. Data also indicate preference for complete text. Those who have used the Portal also claimed to have used other electronic information fonts in order to fulfill their information needs. The information fonts that were researched outside in the Portal were monographs, dissertations and thesis. Scielo was the most used information font. Results reveal that access and use of the Portal has been done in a regular manner during post graduation studies. But on the other hand, graduates also make use of other electronic information fonts in order to meet their information needs. The study also confirmed the important mission performed by the Portal regarding Brazilian scientific communication production. This was seen even though users have reported the need for improvement in some aspects such as: periodic training in order to promote, encourage and teach more effective use of the portal; investment aiming the expansion of Social Sciences Collection in the Portal as well as the need to implement continuous evaluation process related to user satisfaction in regarding the services provided.

Sweat Lodges in Iron Age Iberian Peninsula: New Data, Typologies and Interpretations

Three questions on the study of NO Iberian Peninsula sweat lodges are posed. First, the new sauna of Monte Ornedo (Cantabria), the review of the one of Armea (Ourense), and the Cantabrian pedra formosa type are discussed. Second, the known types of sweat lodges are reconsidered underlining the differences between the Cantabrian and the Douro - Minho groups as these differences contribute to a better assessment of the saunas located out of those territories, such as those of Monte Ornedo or Ulaca. Third, a richer record demands a more specific terminology, a larger use of archaeometric analysis and the application of landscape archaeology or art history methodologies. In this way the range of interpretation of the sweat lodges is opened, as an example an essay is proposed that digs on some already known proposals and suggests that the saunas are material metaphors of wombs whose rationale derives from ideologies and ritual practices of Indo-European tradition.

Multivariate analysis of regional-scale geochemical data for environmental monitoring

A compositional multivariate approach is used to analyse regional scale soil geochemical data obtained as part of the Tellus Project generated by the Geological Survey Northern Ireland (GSNI). The multi-element total concentration data presented comprise XRF analyses of 6862 rural soil samples collected at 20cm depths on a non-aligned grid at one site per 2 km2. Censored data were imputed using published detection limits. Using these imputed values for 46 elements (including LOI), each soil sample site was assigned to the regional geology map provided by GSNI initially using the dominant lithology for the map polygon. Northern Ireland includes a diversity of geology representing a stratigraphic record from the Mesoproterozoic, up to and including the Palaeogene. However, the advance of ice sheets and their meltwaters over the last 100,000 years has left at least 80% of the bedrock covered by superficial deposits, including glacial till and post-glacial alluvium and peat. The question is to what extent the soil geochemistry reflects the underlying geology or superficial deposits. To address this, the geochemical data were transformed using centered log ratios (clr) to observe the requirements of compositional data analysis and avoid closure issues. Following this, compositional multivariate techniques including compositional Principal Component Analysis (PCA) and minimum/maximum autocorrelation factor (MAF) analysis method were used to determine the influence of underlying geology on the soil geochemistry signature. PCA showed that 72% of the variation was determined by the first four principal components (PC’s) implying “significant” structure in the data. Analysis of variance showed that only 10 PC’s were necessary to classify the soil geochemical data. To consider an improvement over PCA that uses the spatial relationships of the data, a classification based on MAF analysis was undertaken using the first 6 dominant factors. Understanding the relationship between soil geochemistry and superficial deposits is important for environmental monitoring of fragile ecosystems such as peat. To explore whether peat cover could be predicted from the classification, the lithology designation was adapted to include the presence of peat, based on GSNI superficial deposit polygons and linear discriminant analysis (LDA) undertaken. Prediction accuracy for LDA classification improved from 60.98% based on PCA using 10 principal components to 64.73% using MAF based on the 6 most dominant factors. The misclassification of peat may reflect degradation of peat covered areas since the creation of superficial deposit classification. Further work will examine the influence of underlying lithologies on elemental concentrations in peat composition and the effect of this in classification analysis.

Integration of cad/ tool path data for 5-axis step-nc machining of free form / irrregular contoured surfaces

This research paper presents the work on feature recognition, tool path data generation and integration with STEP-NC (AP-238 format) for features having Free form / Irregular Contoured Surface(s) (FICS). Initially, the FICS features are modelled / imported in UG CAD package and a closeness index is generated. This is done by comparing the FICS features with basic B-Splines / Bezier curves / surfaces. Then blending functions are caculated by adopting convolution theorem. Based on the blending functions, contour offsett tool paths are generated and simulated for 5 axis milling environment. Finally, the tool path (CL) data is integrated with STEP-NC (AP-238) format. The tool path algorithm and STEP- NC data is tested with various industrial parts through an automated UFUNC plugin.

The Changing Face of Neolithic and Bronze Age Ireland: A Big Data Approach to the Settlement and Burial Records

This paper synthesizes and discusses the spatial and temporal patterns of archaeological sites in Ireland, spanning the Neolithic period and the Bronze Age transition (4300–1900 cal BC), in order to explore the timing and implications of the main changes that occurred in the archaeological record of that period. Large amounts of new data are sourced from unpublished developer-led excavations and combined with national archives, published excavations and online databases. Bayesian radiocarbon models and context- and sample-sensitive summed radiocarbon probabilities are used to examine the dataset. The study captures the scale and timing of the initial expansion of Early Neolithic settlement and the ensuing attenuation of all such activity—an apparent boom-and-bust cycle. The Late Neolithic and Chalcolithic periods are characterised by a resurgence and diversification of activity. Contextualisation and spatial analysis of radiocarbon data reveals finer-scale patterning than is usually possible with summed-probability approaches: the boom-and-bust models of prehistoric populations may, in fact, be a misinterpretation of more subtle demographic changes occurring at the same time as cultural change and attendant differences in the archaeological record.

Human behaviour recognition in data-scarce domains

This paper presents the novel theory for performing multi-agent activity recognition without requiring large training corpora. The reduced need for data means that robust probabilistic recognition can be performed within domains where annotated datasets are traditionally unavailable. Complex human activities are composed from sequences of underlying primitive activities. We do not assume that the exact temporal ordering of primitives is necessary, so can represent complex activity using an unordered bag. Our three-tier architecture comprises low-level video tracking, event analysis and high-level inference. High-level inference is performed using a new, cascading extension of the Rao–Blackwellised Particle Filter. Simulated annealing is used to identify pairs of agents involved in multi-agent activity. We validate our framework using the benchmarked PETS 2006 video surveillance dataset and our own sequences, and achieve a mean recognition F-Score of 0.82. Our approach achieves a mean improvement of 17% over a Hidden Markov Model baseline.

Prior knowledge transfer across transcriptional data sets and technologies using compositional statistics yields new mislabelled ovarian cell line

Here, we describe gene expression compositional assignment (GECA), a powerful, yet simple method based on compositional statistics that can validate the transfer of prior knowledge, such as gene lists, into independent data sets, platforms and technologies. Transcriptional profiling has been used to derive gene lists that stratify patients into prognostic molecular subgroups and assess biomarker performance in the pre-clinical setting. Archived public data sets are an invaluable resource for subsequent in silico validation, though their use can lead to data integration issues. We show that GECA can be used without the need for normalising expression levels between data sets and can outperform rank-based correlation methods. To validate GECA, we demonstrate its success in the cross-platform transfer of gene lists in different domains including: bladder cancer staging, tumour site of origin and mislabelled cell lines. We also show its effectiveness in transferring an epithelial ovarian cancer prognostic gene signature across technologies, from a microarray to a next-generation sequencing setting. In a final case study, we predict the tumour site of origin and histopathology of epithelial ovarian cancer cell lines. In particular, we identify and validate the commonly-used cell line OVCAR-5 as non-ovarian, being gastrointestinal in origin. GECA is available as an open-source R package.

Compositional data analysis of Holocene sediments from the West Bengal Sundarbans, India: Geochemical proxies for grain-size variability in a delta environment

This paper is part of a special issue of Applied Geochemistry focusing on reliable applications of compositional multivariate statistical methods. This study outlines the application of compositional data analysis (CoDa) to calibration of geochemical data and multivariate statistical modelling of geochemistry and grain-size data from a set of Holocene sedimentary cores from the Ganges-Brahmaputra (G-B) delta. Over the last two decades, understanding near-continuous records of sedimentary sequences has required the use of core-scanning X-ray fluorescence (XRF) spectrometry, for both terrestrial and marine sedimentary sequences. Initial XRF data are generally unusable in ‘raw-format’, requiring data processing in order to remove instrument bias, as well as informed sequence interpretation. The applicability of these conventional calibration equations to core-scanning XRF data are further limited by the constraints posed by unknown measurement geometry and specimen homogeneity, as well as matrix effects. Log-ratio based calibration schemes have been developed and applied to clastic sedimentary sequences focusing mainly on energy dispersive-XRF (ED-XRF) core-scanning. This study has applied high resolution core-scanning XRF to Holocene sedimentary sequences from the tidal-dominated Indian Sundarbans, (Ganges-Brahmaputra delta plain). The Log-Ratio Calibration Equation (LRCE) was applied to a sub-set of core-scan and conventional ED-XRF data to quantify elemental composition. This provides a robust calibration scheme using reduced major axis regression of log-ratio transformed geochemical data. Through partial least squares (PLS) modelling of geochemical and grain-size data, it is possible to derive robust proxy information for the Sundarbans depositional environment. The application of these techniques to Holocene sedimentary data offers an improved methodological framework for unravelling Holocene sedimentation patterns.

Maintaining legacy data: saving Belfast Harbour (UK) tide-gauge data (1902-2010)

Tide gauge data are identified as legacy data given the radical transition between observation method and required output format associated with tide gauges over the 20th-century. Observed water level variation through tide-gauge records is regarded as the only significant basis for determining recent historical variation (decade to century) in mean sea-level and storm surge. There are limited tide gauge records that cover the 20th century, such that the Belfast (UK) Harbour tide gauge would be a strategic long-term (110 years) record, if the full paper-based records (marigrams) were digitally restructured to allow for consistent data analysis. This paper presents the methodology of extracting a consistent time series of observed water levels from the 5 different Belfast Harbour tide gauges’ positions/machine types, starting late 1901. Tide-gauge data was digitally retrieved from the original analogue (daily) records by scanning the marigrams and then extracting the sequential tidal elevations with graph-line seeking software (Ungraph™). This automation of signal extraction allowed the full Belfast series to be retrieved quickly, relative to any manual x–y digitisation of the signal. Restructuring variably lengthed tidal data sets to a consistent daily, monthly and annual file format was undertaken by project-developed software: Merge&Convert and MergeHYD allow consistent water level sampling both at 60 min (past standard) and 10 min intervals, the latter enhancing surge measurement. Belfast tide-gauge data have been rectified, validated and quality controlled (IOC 2006 standards). The result is a consistent annual-based legacy data series for Belfast Harbour that includes over 2 million tidal-level data observations.