Transtur System: Sistema de automação e transporte turí­stico

O Sistema Transtur System foi elaborado para acompanhar e controlar todas as viagens e excursões executadas e a executar da empresa Aldotur. O Sistema fornecerá no seu controle, mapas de viagens e roteiros para melhor orientação quanto às rotas e melhor orientação do motorista responsável pela viagem e um melhor gerenciamento na execução dos serviços prestados no dia a dia, gerando melhor conforto e comodidade no atendimento. O desenvolvimento do presente projeto utilizou-se das técnicas de organização e métodos, análise estruturada de dados e modelagem de dados estudados no curso Superior de Formação Específica em Análise de Sistemas do Centro Universitário de Brasília - UniCeub. E através dessas técnicas, foram geradas as representações dos diagramas (organograma, diagrama de contexto, diagrama de fluxo de dados, modelos entidade X relacionamento) e dos formulários (de entrada e saída de dados) expostos no projeto

MIGRAÇÃO BOLIVIANA NA FRONTEIRA DE GUAJARÁ-MIRIM: APONTAMENTOS SOBRE O MIGRANTE IRREGULAR

Este estudo analisa a problemática da migração na fronteira de Guajará-Mirim, em Rondônia, partindo do estudo de um texto diplomático que aborda a situação dos trabalhadores bolivianos no local. Esta abordagem vincula-se ao Direito ao Trabalho como um Direito Humano, no caso do trabalhador migrante que transpõe as fronteiras do seu Estado nacional. Verifica-se haver elementos comuns na problemática do trabalhador migrante nos países de acolhida e, dentre estes aspectos, encontramos obstáculos quanto à regular situação do trabalhador no País, além do aspecto de proteção ao mercado de trabalho para os nacionais, contribuindo a um discurso negativo à recepção de pessoas que migram em busca de trabalho. O contato entre culturas, dada essa situação, abre possibilidade a criar-se um campo de conflito, devido primeiramente às diferenças culturais e linguísticas. O nosso referencial teórico segue Abdelmalek Sayad, que nos remete aos aspectos conceituais sobre migração. Seguimos ainda autores das teorias pós-coloniais. Na Metodologia da Pesquisa, seguimos parâmetros da Filologia Política e referenciais que tratam dos aspectos culturais. Como resultados, obtivemos algumas respostas em direção a um melhor entendimento e desenvolvimento recíproco, muito disso aproveitado a dissertação de mestrado, apresentada ao Programa de Mestrado Acadêmico em História e Estudos Culturais da UNI

NMR AS A TOOL FOR COMPOUND IDENTIFICATION IN MIXTURES

Natural products and metabolomics are intrinsically linked by the efforts of analyzing complex mixtures for compound annotation. Although most of the studies that aims for compound identification in mixtures use MS as the main analysis technique, NMR has complementary advances that are worth exploring for enhanced structure confidence. This review intends to showcase a portfolio of the main tools available for compound identification using NMR. COLMAR, SMART-NMR, MADByTE, and NMRfilter are presented using examples collected with real samples from the perspective of a natural products chemist

Data Base similarity (DBsimilarity) of Natural Products to aid compound identification on MS and NMR pipelines, similarity networking and more

Introduction: This paper proposes DBsimilarity to organize structural databases into Similarity Networks to better understand the rich information available. Method: DBsimilarity was written in Jupyter Notebooks to be easy to follow and values readability. It converts SDF files into CSV files, adds chemoinformatics data, constructs a MZMine custom database file and a NMRfilter candidate list of compounds for rapid dereplication of MS and 2D NMR data, calculates similarities between compounds, and constructs CSV files to be converted to Similarity Networks using Cytoscape. Results: The Lotus database was used as source for Ginkgo biloba compounds and DBsimilarity was used to create Similarity Networks that includes NPClassifier classification to indicate biosynthesis pathways. Following, a database of validated antibiotics natural products was combined with the G. biloba database to indicate promising compounds. The presence of 11 compounds in both datasets points to a possible antibiotic property of G. biloba, and 122 other compounds similar to those known antibiotics is found. Next, DBsimilarity was used to filter the NPAtlas database (selecting only those with MIBIG reference) to identify potential antibacterial compounds using the ChEMBL database as reference. It was possible to promptly identify 5 compounds found in both databases, and 167 other worth investigating compounds similar to those known antibiotics. Conclusion: Chemical and biological properties are determined by molecular structures. DBsimilarity enables the creation of interactive Similarity Networks using Cytoscape. It is also in line with recent review that highlights significant sources of errors in compound identification: poor biological plausibility and unrealistic chromatographic behaviors

Rapid identification of bacteria in bovine semen by matrix-assisted laser desorption/ionization mass spectrometry

Frozen bovine semen used in the IVF process can be a potential source of microorganisms that can prevent or disturb embryo development and cause issues with the sanitary certification for bovine embryo commercialization and export. Therefore, the aim of this work is to introduce a novel tool for the fast identification of the pathogens on the frozen semen based on the mass spectra of their ribosomal proteins analysed by matrix-assisted desorption/ionization-mass spectrometry (MALDI-MS). Thirty bovine semen samples, which were aliquots of commercial sealed straws used daily in the commercial IVF routine at In vitro Brasil Ltd. (Mogi Mirim, SP, Brazil), were used for this work. Fifty microlitres of semen were incubated in 10 mL of brain heart infusion broth (BHI) for 24 h at 37°C. If turbidity was observed, the bacterial cultures were submitted to bacterial extraction and mass spectrometric analysis according to Barreiro et al. (2010). The mass spectra were obtained using an AUTOFLEX MALDI TOF/TOF and were analysed with the database library MALDI Biotyper 3.0 software (Bruker Daltonik, Germany) at default settings. For each sample, the result was given by means of a log score with a maximum value of 3.0. In this study, only scores higher than 2.0 were considered, which provide confident species identification. The bacteria identified were Citrobacter freundii (2 samples), Stenotrophomonas maltophilia (4 samples), Enterobacter cloacae (6 samples) complex, Candida parapsilosis (2 samples), and Enterococcus mundtii (2 samples). Note that all the identified bacteria consistently match with the most common contaminants reported in literature for bovine frozen semen (Bielanskia et al. 2003). The capability of the technique to identify the bacteria without the ribosomal extraction (i.e. of bacteria pellets diluted in water and acetonitrile) was successful for the pellet of S. maltophilia, C. freundii, and E. cloacae complex with scores higher than 2.3, indicating a very high probability of the identification of the bacterial genus and the species. This can be explained by considering the capability of the mass spectrometric matrix to lyse the membrane of the bacteria and directly extract and then ionize the ribosomal proteins. In order to exclude the presence of a mixing of bacteria in the pellet, the colonies were properly isolated. The results matched with the ones obtained before the isolation. In order to confirm the MALDI-MS identification, the isolated bacteria from the bovine semen were also submitted to sequencing of region 16SrRNA. In conclusion, MALDI-MS technique was successfully applied for the identification of pathogens in the bovine semen. Experiments to evaluate the presence of microorganisms in media used for in vitro maturation, IVF, and in vitro culture of the bovine oocytes and embryos using this strategy are underway. This robust and fast approach is able to detect early contamination and allows prevention of economic losses and sanitary excellence in the bovine IVF process

Image_1_Diversity and enzymatic activity of the microbiota isolated from compost based on restaurant waste and yard trimmings.png

IntroductionThe bad management of organic waste negatively affects environmental quality and composting has been a viable recycling alternative. Microorganisms are responsible for waste degradation during the composting process and, consequently, for transforming this waste into natural fertilizer. This work aimed to analyze and identify the biodiversity of yeasts and filamentous fungi throughout a composting process based on organic residues under different treatments (commercial inoculum, non-commercial inoculum, and control treatment) and to investigate the enzymatic activity of these microorganisms.MethodsMicroorganisms were isolated and identified from samples at 0, 5, 10, 20, 40, 60, and 120 days. Filamentous fungi were identified according to their macroscopic and microscopic characteristics, and yeasts were identified by sequencing the 18S rDNA region. All identified strains were evaluated for ligninolytic, cellulolytic, hemicellulolytic, amylolytic, pectinolytic, proteolytic, lipolytic, and ammonification. During the composting phases, the filamentous fungi were higher than the yeast population.Results and discussionAt the beginning of the process, a higher species diversity was observed, and the population of yeasts and filamentous fungi was, on average, 6.50 log CFU g−1. The microbial communities were similar throughout the process in the two inoculated treatments, which showed more significant microbial activity, diversity, and efficiency in the transformation of organic matter, and consequently, advantages in terms of the final product quality compared to the control treatment. The yeasts Pichia kudriavzevii, Pichia farinosa, Issatchenkia orientalis, and the filamentous fungi of the genus Aspergillus spp. proved to have high biotechnological value and could be used as starter cultures to accelerate the composting process.</p