Image segmentation is still a challenging issue in pattern recognition. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks, one being high processing times. With the recent developments on complex networks theory, pattern recognition techniques based on graphs have improved considerably. The identification of cluster of vertices can be considered a process of community identification according to complex networks theory. Since data clustering is related with image segmentation, image segmentation can also be approached via complex networks. However, image segmentation based on complex networks poses a fundamental limitation which is the excessive numbers of nodes in the network. This paper presents a complex network approach for large image segmentation that is both accurate and fast. To that, we incorporate the concept of super pixels, to reduce the number of nodes in the network. We evaluate our method for both synthetic and real images. Results show that our method can outperform other graph-based methods both in accuracy and processing times.

Epidemiological inquiries study and evaluate the health status of the population. For dental caries, the World Health Organization (WHO) recommends the DMFT and DMFS indexes, which represent the sum of the decayed, missing and filled teeth, divided by the population studied. Traditionally these surveys are conducted using cellulose paper sheet. This study describes the development and presents the field performance of NutriOdonto, a software created for an Oral Health Survey carried out in 2018 and 2019 involving 2578 students from the municipal schools of Palmas/TO, located in the Brazilian Amazon region. This is a descriptive, applied research on the development of a software for the collecting, analysis, management and reproducibility of oral health epidemiological research. A software applied to the collecting, analysis and formation of the database was developed through the information obtained from the questionnaires applied to the participants of the study and the completion of the electronic oral examination form. Recent Information and Communication Technologies (ICT) are intelligently configured to create models and mobile applications (Apps) that can be useful to manage health issues, thus broadening the perspective of service provision in this sector. Some of these mobile devices, tablets and smartphones are being developed to generate information, for collection, recording, storage and analysis of oral health epidemiological research data. NutriOdonto contributed to the rapid collection, recording and storage of information, in the construction of the database and its analysis. Replacing paper forms with electronic forms minimized possible typos, reduced the use of cellulose paper and the financial costs, among other things. This software can contribute to decision making by managers and professionals and to improving the planning and implementation of actions in health promotion and oral disease prevention.

This work aimed to apply the ARIMA model to predict the under-reporting of new Hansen’s disease cases during the COVID-19 pandemic in Palmas, Tocantins, Brazil. This is an ecological time series study of Hansen’s disease indicators in the city of Palmas between 2001 and 2020 using the autoregressive integrated moving averages method. Data from the Notifiable Injuries Information System and population estimates from the Brazilian Institute of Geography and Statistics were collected. A total of 7035 new reported cases of Hansen’s disease were analyzed. The ARIMA model (4,0,3) presented the lowest values for the two tested information criteria and was the one that best fit the data, as AIC = 431.30 and BIC = 462.28, using a statistical significance level of 0.05 and showing the differences between the predicted values and those recorded in the notifications, indicating a large number of under-reporting of Hansen’s disease new cases during the period from April to December 2020. The ARIMA model reported that 177% of new cases of Hansen’s disease were not reported in Palmas during the period of the COVID-19 pandemic in 2020. This study shows the need for the municipal control program to undertake immediate actions in terms of actively searching for cases and reducing their hidden prevalence.

Theme: Analysis of geospatial data to identify economic, social and technological factors for the structure of implantation of innovative companies of technological base in the State of Tocantins.Objective: To analyze the impact of economic, social and technological indicators in the process of creating innovative environments for companies of technological base in the context of the State of Tocantins using geospatial data presented in a computer system for visualizing economic, social and technological information called VICS.Method: The inductive approach was adopted based on the observation of technological factors of innovation references in Tocantins for replication to other potential locations, applying bibliographic research, to survey the state of the existing art, and exploratory, to collect data and discoveries with descriptive and quantitative procedures for the interpretation of the discovered data, resulting in the structuring of the methodology in five stages: search, collection, extraction, crossing and data analysis.Results: It was identified that economic, social and technological indicators raised in this work influence the emergence and consolidation of favorable environments for the implantation and maintenance of companies of technological base in Tocantins, highlighting that such evidence was obtained through the VICS system, which provides a visual analysis of the geospatial information of the State of Tocantins.Methodological contributions: Based on the principles of Analysis and Data Mining, a methodology with an inductive approach was developed, which, organized in five stages, favors the design of mechanisms for visualizing indicators, allowing economic, social and technological aspects to be observed and considered in decision making.

Trata-se de uma pesquisa bibliográfica, documental que teve como objetivo a realização de um estudo referente à aplicação da legislação de contratos e convênios entre universidades públicas e outras entidades, em conformidade com a lei de inovação, com uma abordagem qualitativa. Os dados obtidos foram retirados dos sites das principais Universidades do Brasil que possuem normativas próprias e documentos oficiais voltados à inovação tecnológica. O estudo teve como resultado a comparação entre as Instituições de Ensino Superior – IES e a Universidade Federal do Tocantins - UFT, em conformidade com a legislação existente e suas boas práticas adotadas na centralização de instruções, documentos, padronização de ações e orientação dos servidores sobre contratos e convênios, bem como a forma de executá-los corretamente, a fim de possibilitar a geração de verbas para ações de inovação tecnológica.