Federal Center for Technological Education of Minas Gerais

About: Federal Center for Technological Education of Minas Gerais is a education organization based out in . It is known for research contribution in the topics: Computer science & Chemistry. The organization has 21 authors who have published 25 publications receiving 18 citations.

A multiscale investigation on the performance improvement of fiber-reinforced cementitious composites after exposure to high temperatures

Abstract: Many studies on cement-based materials have addressed their deterioration at high temperatures. However, improvements in the performance of fiber-reinforced cementitious composites (FRCCs) have been observed after exposure to temperatures between 200 and 400 °C. This behavior needs to be further investigated as existing studies have primarily investigated the degradation of properties, without a focus on optimization. Hence, this study systematically investigated the FRCC performance improvement after exposure to high temperatures through a multiscale perspective, from the global behavior to the microstructure. The results showed that heat treatment improved the flexural behavior of the FRCC, mainly its strength and energy absorption capacity. The compressive and flexural strengths of the non-fibrous matrix also increased. The increments in the load and energy of fiber pull-out indicated that the fiber-matrix bonding was improved. A microstructural investigation confirmed an intact fiber-matrix interface and a cohesive cementitious matrix. Additionally, the main mechanisms of this enhanced behavior were related to matrix densification, interface optimization, and fiber clamping. These aspects, acting synergistically, promote a more effective interconnection between the composite components, improving the residual performance.

Quantitative structure-activity relationships (QSARs)

Abstract: This chapter outlines a historical background of quantitative structure-activity relationship (QSAR) studies, presents some discussion concerning Hansch-Fujita and Free-Wilson methods, discusses the main model validation protocols and good practices, and presents a brief discussion on 3D-QSAR techniques and applications.

Bibliometric analysis of scientific production on methods to aid decision making in the last 40 years

Abstract: Purpose: Multicriteria methods have gained traction in both academia and industry practices for effective decision-making over the years. This bibliometric study aims to explore and provide an overview of research carried out on multicriteria methods, in its various aspects, over the past forty-four years. Design/Methodology/Approach: The Web of Science (WoS) and Scopus databases were searched for publications from January 1945 to April 29, 2021, on multicriteria methods in titles, abstracts, and keywords. The bibliographic data were analyzed using the R bibliometrix package. Findings: This bibliometric study asserts that 29,050 authors have produced 20,861 documents on the theme of multicriteria methods in 131 countries in the last forty-four years. Scientific production in this area grows at a rate of 13.88 per year. China is the leading country in publications with 14.14%; India with 10.76%; and Iran with 8.09%. Islamic Azad University leads others with 504 publications, followed by the Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. As for journals, Expert Systems With Applications; Sustainability; and Journal of Cleaner Production are the leading journals, which account for more than 4.67% of all indexed literature. Furthermore, Zavadskas E. and Wang J have the highest publications in the multicriteria methods domain regarding the authors. Regarding the most commonly used multicriteria decision-making methods, AHP is the most favored approach among the ten countries with the most publications in this research area, followed by TOPSIS, VIKOR, PROMETHEE, and ANP. Practical implications: The bibliometric literature review method allows the researchers to explore the multicriteria research area more extensively than the traditional literature review method. It enables a large dataset of bibliographic records to be systematically analyzed through statistical measures, yielding informative insights. Originality/value: The usefulness of this bibliometric study is summed in presenting an overview of the topic of the multicriteria methods during the previous forty-four years, allowing other academics to use this research as a starting point for their research.