BACKGROUND The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has become a major concern contributing to increased morbidity and mortality worldwide. OBJECTIVES Here we describe the replacement of the Gamma variant of concern (VOC) with Delta in the western Brazilian Amazon. METHODS In this study, we analysed 540 SARS-CoV-2 positive samples determined by qualitative real-time RT-PCR selected in the state of Rondônia between June and December 2021. The positive cohort was sequenced through next-generation sequencing (NGS) and each sample was quantified using real-time RT-qPCR, the whole genome sequence was obtained, SARS-CoV-2 lineages were classified using the system Pango and the maximum likelihood (ML) method was used to conduct phylogenetic analyses. FINDINGS A total of 540 high-quality genomes were obtained, where the Delta VOC showed the highest prevalence making up 72%, with strain AY.43 being the most abundant, while the Gamma VOC was present in 28%, where the P.1 strain was the most frequent. In this study population, only 32.96% (178/540) had completed the vaccination schedule. MAIN CONCLUSIONS This study highlighted the presence of Gamma and Delta variants of SARS-CoV-2 in RO. Furthermore, we observed the replacement of the Gamma VOC with the Delta VOC and its lineages. SARSCoV2 SARSCoV SARS CoV (SARS-CoV-2 worldwide (VOC Amazon 54 SARS-CoV- realtime real time RTPCR RT PCR 2021 nextgeneration next generation NGS (NGS RTqPCR, RTqPCR qPCR, qPCR RT-qPCR obtained ML (ML analyses highquality high quality 72 72% AY43 AY 43 AY.4 abundant 28 28% P1 P 1 P. frequent population 3296 32 96 32.96 178/540 178540 178 (178/540 schedule RO Furthermore (SARS-CoV- 5 SARS-CoV 202 7 AY4 4 AY. 329 3 9 32.9 178/54 17854 17 (178/54 (SARS-CoV 20 32. 178/5 1785 (178/5 178/ (178/ (178 (17 (1 (

ABSTRACT The direction of public policies plays an important role in society as a whole, especially in security, which, in addition to being considered a necessity for every citizen, is constitutionally guaranteed. This study presents the use of an unsupervised learning approach for the establishment of clusters among the municipalities in the State of Pernambuco, Brazil, considering some types of representative crimes, aiming to direct actions to prevent and fight crime in order to support policy makers. The k-means algorithm was used as the main tool in the study, using the software R 3.6.1, and recommendations for actions were directed to each of the obtained clusters. To demonstrate the direction, the grouping with the parameter k = 26 was used, referring to the State Security Integration Areas. The results show that the use of a clustering approach for the municipalities provides greater effectiveness in directing actions to combat and prevent crime, given that the municipalities that have the greatest similarities are grouped in the same cluster.

ABSTRACT Human Resource Allocation (HRA) can be defined as the way professionals are distributed across the organization’s tasks, given that each individual has his/her own set of characteristics, and that each task has specific needs. Thus, this paper puts forward a mathematical programming model for allocating human resources that considers employees’ formal qualifications and experience and the possibility of employees sharing tasks in each project. The proposed mathematical model was designed and implemented according to a set of heuristics based on a Greedy Search (GS), a Genetic Algorithm, a Cosine Pigeon- Inspired Optimizer and an Iterated Local Search (ILS), to solve small, medium and large random instances. Thus, it was verified which of the heuristics had the best performance according to certain indicators, such as resolution time and average quality of the solutions found. Finally, they were also compared with the optimal solution obtained for small and medium-sized instances, with the best average results to ILS, although these are not too far from those of the GS.

Abstract Paper aims This paper proposes a multicriteria decision approach for supplier selection using a multicriteria method based on Flexible and Interactive Tradeoff (FITradeoff) elicitation process, within the ranking problematic perspective. Originality This paper develops a framework integrating the results of VFT (Value-Focused Thinking) method with the Triple Bottom Line (TBL) dimension and the veto concept to improve the decision process within a multicriteria perspective. Research method This study provides a case study in a textile company in Campina Grande, northeast Brazil using data mainly from semi-structured interviews. It also employs quantitative techniques based on problem structuring methods and multicriteria decision making. Main findings The VFT helped in identifying criteria that are not yet explored by the company, and in structuring the decision problem of how incorporate and balance the TBL dimensions. The recommendation obtained by using the proposed multicriteria decision framework is different from the group of suppliers currently used by the company. Implications for theory and practice Clarify and identify different objectives and to specify the consequences of a decision problem, allowing the Decision Maker (DM) to obtain and prioritize an economic and sustainable solution for a given number of suppliers to be selected, saving his time and effort.

Este artigo apresenta os primeiros resultados obtidos com uma investigação sobre a exploração de Sistemas de Informação (SI) e Tecnologia da Informação (TI) em 37 (trinta e sete) empresas da Região Metropolitana do Recife (RMR), sendo estas em sua maioria empresas privadas, que atuam no ramo de serviço, com faturamento anual médio abaixo de R$ 500.000,00. Este estudo exploratório tem por objetivo familiarizar os pesquisadores com a realidade do uso de SI/TI nesta região e permitir a construção de hipóteses sobre o tema.

This article presents the first results obtained with an investigation about the exploration of Information Systems (IS) and Information Technology (IT) in 37 (thirty seven) companies of the Metropolitan Area of Recife (RMR), being these in your majority deprived companies, that they act in the service branch, with medium annual billing below R$ 500.000,00. This exploratory study has for objective to familiarize the researchers with the reality of the use of IS/IT in this area and to allow the construction of hypotheses about theme.