The identification and differentiation of the Candida parapsilosis complex species by polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer region of the rDNA

Currently, it is accepted that there are three species that were formerly grouped under Candida parapsilosis: C. para- psilosis sensu stricto, Candida orthopsilosis, andCandida metapsilosis. In fact, the antifungal susceptibility profiles and distinct virulence attributes demonstrate the differences in these nosocomial pathogens. An accurate, fast, and economical identification of fungal species has been the main goal in mycology. In the present study, we searched sequences that were available in the GenBank database in order to identify the complete sequence for the internal transcribed spacer (ITS)1-5.8S-ITS2 region, which is comprised of the forward and reverse primers ITS1 and ITS4. Subsequently, an in silico polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was performed to differentiate the C. parapsilosis complex species. Ninety-eight clinical isolates from patients with fungaemia were submitted for analysis, where 59 isolates were identified as C. parapsilosis sensu stricto, 37 were identified as C. orthopsilosis, and two were identified as C. metapsilosis. PCR-RFLP quickly and accurately identified C. parapsilosis complex species, making this method an alternative and routine identification system for use in clinical mycology laboratories.

Scenarios for the milk production chain in Brazil in 2020

Brazilian milk production has grown steadily and in 2004 the country became self-sufficient in dairy production. This article develops possible scenarios for the milk production chain in Brazil for the year 2020 in order to contribute to decisions that must be made by stakeholders. A literature review on foresight and the use of scenarios was conducted, and a scenario writing approach based on Wright and Spers (2006) was adopted, which includes the use of the Delphi method, Michael Porter's Five Competitive Forces model, Interpretative Structural Modeling (ISM) (WRIGHT, 1991) and quantitative projections. This methodology provided four scenarios, with quantitative and qualitative elements: two exploratory scenarios ("milk, the new agribusiness star" and "a wasted future"), a most probable scenario ("continuous but uneven growth") and a desired scenario ("competitive family agriculture"). Overall, it is possible to note many market opportunities, as well as niche markets and the strengthening of cooperatives. Future prospects are also favorable to the dairy industry in general, but nearly all scenarios point to a concentration in the industrial sphere.

Evidências da relação entre a evolução da gestão ambiental e a adoção de práticas de green supply chain management no setor eletroeletrônico brasileiro

Na pesquisa apresentada, teve-se como objetivo verificar se a evolução da gestão ambiental se relaciona positivamente com a adoção de práticas de green supply chain management (GSCM) por empresas do setor eletroeletrônico do Brasil. Para fazer frente ao objetivo exposto, foi realizada uma pesquisa quantitativa, por meio de um levantamento survey, com cem empresas do setor eletroeletrônico brasileiro. Os dados coletados foram processados por meio de técnicas estatísticas descritivas, análise fatorial exploratória e modelagem de equações estruturais. Os resultados mais importantes da pesquisa foram: na amostra, práticas de GSCM orientadas para a recuperação dos investimentos das empresas, como a revenda de materiais inservíveis e outros resíduos, além da adequação à legislação e à auditoria ambiental, obtiveram médias elevadas; e a hipótese de pesquisa (H1) foi confirmada e considerada estatisticamente válida, indicando que a evolução da gestão ambiental influencia a adoção de práticas de GSCM.