With the evolution of management practices, new management methods and tools were adopted in public entities in order to optimize the delivery of services to their steakholders. In this scenario, the Balanced Scorecard (BSC) offers an important tool to assist in the strategic management of public entities. Therefore, this work aims to generate a bibliometric analysis of the scientific production on the BSC tool in the public sector in the period of five years (2014-2018), to clarify the functionalities and to survey data through the Web Database of Science. The procedure to perform this review of scientific production involved, initially, access to the database, followed by research by the terms "BSC and Government" and "BSC and Public Management". Afterwards, they were exported and ordered in the matrix in order to perform the analysis of the elements obtained. The methodology used was of a descriptive and quantitative nature. The main results emphasize that the production registered in the database used is scarce, observing that only 27 publications were found in the studied temporal cutout. It also indicates that, in the range comprised, the Brazilian production was on a large scale together with the Australian and Portuguese production equated to other countries contained in the research and, finally, that there is an inconstancy in the publication of articles related to this subject. This article is structured as follows: introduction, theoretical reference, methodology, results and discussions and conclusion.

Macromolecules are proteins formed by amino acids joined by peptide bonds, and can be described in different structural levels: primary, secondary, tertiary and quaternary. It’s possible to extract a small part of the three dimensional structure of the protein to be used as a ligand. However, the extraction of fragments by experimental methods is expensive and time-consuming. In this context, the development of a web service to extract fragments of three-dimensional proteins makes the process more assertive and less costly. The methods used for the development of the protein slicer web service were the Python programming language, and the Javascript, PHP and HTML languages are being used. And for the testing of the system, three-dimensional structures of proteins present in the RCSB Protein Data Bank (RCSB PDB) were used.

The basic literacy is a complex phase, composed of several stages that require dedication to the conclusion of the process. Nowadays, with the evolution of electronic devices and with the advent of data mining technology, respectively, the teaching and monitoring of the stages of literacy can be facilitated by the introduction of its principles into the educational process. Based on this, this paper proposes the presentation of a learning object, consisting mainly of a mobile application and a follow-up system, named Object of study of Literacy, Objeto de Estudo de Letramento (OEL), for teaching and monitoring the initial stages of the process of basic literacy.

This article describes the application of two human-computer interaction tests (IHC) in an Android application© called "+Leite", created to help small milk producers measure the efficiency of their production. One of these tests is called Heuristic Assessment which consists of identifying errors based on the 10 Nielsen heuristics (1998) and classifying them into levels (mild, medium, severe and catastrophic), according to the severity of this error. The other test is called the Cognitive Pathway that consists of the evaluator impersonating the application user and plotting a path to be followed to identify usability problems. In these tests, aspects (positive and/or negative) of the software are raised and, with the possession of these data, it is estimated to improve the application.

A few years ago, validating proteins to see if they were good or bad was a process that took years. With the creation of the Ramachandran Graph that evaluates protein structures through the angles φ (phi) and ψ (psi), this task became less onerous. With the evolution of computing and bioinformatics, platforms have been created to generate Ramachandran graphs in an online manner, however, the platforms have a high degree of usability complexity. The system proposed by this project puts the user as the center of the development, developing a system that can generate the Ramachandran graphs from the files sent, make the outlier analysis and return to the user through e-mail communication when the activities are finished.