Estabelecimento de uma coleção de plasmídeos para transformação genética de eucalipto.

Editores técnicos: Marcílio José Thomazini, Elenice Fritzsons, Patrícia Raquel Silva, Guilherme Schnell e Schuhli, Denise Jeton Cardoso, Luziane Franciscon. EVINCI. Resumos

Identificação e clonagem de promotores raiz-específicos de eucalipto.

A utilização de promotores tecido - específicos é uma das principais estratégias para direcionar a expres são de transgenes a determinados órgãos ou tipos celulares . Por isso, o objetivo deste trabalho foi a clonagem de promotores raiz - específicos , a partir de dados de RNA - Seq obtidos de bibliotecas de raiz, xilema e folha de eucalipto. Dois genes com padrão d e expressão preferencial em raiz foram inicialmente selecionados para isolamento da região promotora. Fragmentos de 1kb foram clonados em vetor binário pCAMBIA2301, fusionados ao gene repórter da beta - glucuronidase (GUS) , para transformação de Populus trem ula x Populus alba via Agrobacterium tumefaciens .Edição dos anais do 3º Simpósio de Bioquímica e Biotecnologia, 2013. Londrina

Smoke gets in your eyes: re-reading gender in the "nostalgia film"

Upon its release, American Graffiti (George Lucas, 1973) was much admired by critics and audiences alike. Yet, in subsequent years, the film became known for its supposed “flattening of history,” and celebration of patriarchal values. This article demonstrates that such a judgement owes much to Fredric Jameson’s historically contingent work on postmodernism, which argues that American Graffiti constitutes the paradigmatic nostalgia film. In contrast, using close textual analysis, I demonstrate that American Graffiti provides a more complex construction of the past, and of gender, than has hitherto been acknowledged. Far from blindly idealising the early 1960s, the film interrogates the processes through which the period and its gender relations come to be idealised. This article has consequences not only for our understanding of Lucas’ seminal film, but also for the American New Wave, and the “nostalgia” text

Machine Learning in Drug Discovery and Development Part 1: A Primer

Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and development. We also list possible data sources, describe good practices for ML model development and validation, and share a reproducible example. A companion article will summarize applications of ML in drug discovery, drug development, and postapproval phase.Laboratorio de Investigación y Desarrollo de Bioactivo

The Nature of Knowledge in Composition and Literary Understanding: The Question of Specificity

↵PETER SMAGORINSKY is Assistant Professor, College of Education, University of Oklahoma, 820 Van Vleet Oval, Norman, OK 73019-0. He specializes in classroom literacy.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline