In recent years there has been a significant growth of interest in the incorporation historical series variables related to stock prediction into mathematical models or computational algorithms order generate predictions indications about expected price movements. The objective this study was utilize artificial neural networks predict closing PETR4 which is traded on BM&FBOVESPA. Three stages were used prediction: obtainment samples, pre-processing, and prediction. 32 different...

Information and Communication Technologies (ICT) in education provide a new learning environment where the student builds his own knowledge, allowing visualization experimentation. This study evaluated Geogebra software process of Calculus. It was observed that proposed activities helped graphical interpretation covered content.

Proteins are macromolecules that have a high molecular weight, and make up, along with water, most of the composition cells. The functions they perform extremely important, such as catalysis biochemical reactions, cytoskeleton formation, transportation storage substances. With completion genome sequencing, protein discovery has been growing exponentially, laboratory methods for determining their not able to keep up this growth. Due fact, it is necessary develop aid in function process. Thus,...

The great number of social network users and the expansion this kind tool in last years demand storage a volume information regarding user behaviour. In article, we utilise interaction records from Facebook metrics complex networks study, to identify different behaviours using clustering techniques. We found three profiles interactions performed network: viewer, participant content producer. Moreover, groups were characterised by C4.5 decision-tree algorithm. 'viewer' mainly observes what...

Prediction of the translation initiation site is vital importance in bioinformatics since through this process it possible to understand organic formation and metabolic behavior living organisms. Sequential algorithms are not always a viable solution due fact that mRNA databases normally very large, resulting long processing times. Applying parallel distributed computing resources such could help reduce time. The objective article present class balancing for using hybrid model. results...

Human aging is a global problem that will have large socioeconomic impact. A better understanding of can direct public policies minimize its negative effects in the future. Over many years, several longitudinal studies human been conducted aiming to comprehend phenomenon, and various factors influencing are under analysis. In this review, we categorize main aspects affecting into taxonomy for assisting data mining (DM) research on topic. We also present tables summarizing characteristics 64...

No mundo, a populacao de idosos tem aumentado expressivamente. Segundo o IBGE – Instituto Brasileiro Geografiae Estatistica, em 2010, os representavam 10,5% toda brasileira, correspondente mais de20 milhoes pessoas. Com essa idosos, torna-se cada vez necessario oferecer opcoes lazere aprendizagem continua, voltados para eles. Este artigo apresenta um levantamento bibliografico sobre heuristicasde usabilidade avaliar jogos casuais e dispositivos moveis, no contexto usuarios idosos....

Purpose The scientific community shares a heritage of knowledge generated by several different fields research. Identifying how interest evolves is relevant for recording and understanding research trends society’s demands. Design/methodology/approach This article presents SciBR-M, novel method to identify evolution from bibliographic material based on Formal Concept Analysis. SciBR-M aims describe the thematic surrounding field begins hierarchically organising sub-domains within study...

Composite indicators are one-dimensional measures that help decision-makers understand complex realities. Existing software builds composite using different methods, also providing a measure of the stability their structure. Considering this, it is possible to point out there gap for provides more quality and capable guiding on usability. The building measuring Ordered Weighted Averaging, so-called S-CI-OWA, fills this gap. S-CI-OWA based which assigns weights according input value, solving...

Abstract Background The accurate prediction of the initiation translation in sequences mRNA is an important activity for genome annotation. However, obtaining not always a simple task and can be modeled as problem classification between positive (protein codifiers) negative (non-codifiers). highly imbalanced because each molecule has unique site various others that are initiators. Therefore, this study focuses on from perspective balancing classes we present undersampling method, M-clus,...

Support Vector Machine (SVM) is a supervised learning algorithm widely used in data classification problems. However, the quality of solution related to chosen kernel function, and adjustment its parameters. In present study we compare genetic (GA), particle swarm optimization(PSO), grid-search setting parameters C SVM. After running some experimental tests based on prediction protein it concluded that all algorithms are suitable set SVM efficiently, yet runs up 6 times faster than GA 30 PSO.

With the recent advances of genomic sequencing techniques, number protein sequences available for analysis has increased greatly. Wet-lab processes to predict function a are too high-cost answer this demand. However, knowing is extremely important in several fields such as medicine and agriculture. Therefore, it necessary find computational models able function. That an open research field Bioinformatics, since existing don't perform well enough yet. The Sting DB database gathers relevant...

With technological advancements, there has been a vast increase in the number of companies that fight over their market share. In search differentiating factor, are investing more and products’ emotional designs. This researched work evaluated affects caused visually impaired people when using Facebook's features then compared them with experiences sighted users. To do that, these two types Facebook users were subjected to questionnaire was based on PANAS affect scale. Once information...

Due to the current scenario in which multi-core architectures are predominant most personal computers and servers, knowledge of parallel programming content becomes fundamental for computer students develop software capable obtaining best performance these architectures. Considering importance this context, paper presents results a systematic mapping literature related teaching-learning process computing programmes three important databases: ACM, IEEE Science Direct. The obtained showed that...

Autism is a neurological disorder characterized by the impairment of social interaction, verbal and nonverbal communication, restricted repetitive behavior, which can be treated with specialized therapies, according to each case. With use digital games, making these therapies more assertive, disorder's effects are minimized over time. Considering game's potential in this context, work raised heuristics that assist development evaluation games. These tend make creation assertive stages,...

This paper analyzes how the Socially Aware Design (SAwD) and Value-oriented Culturally Approach (VCIA) design model can be used to develop an edutainment game for children with Attention Deficit Hyperactivity Disorder (ADHD). The SAwD approach seeks a that considers new dimensions in human-computer interaction, such as cultural, emotional, social aspects of user's everyday experience. From this perspective, was based on VCIA model, which includes stakeholders process, through participatory...