Галерея 3350780

Галерея 3350780

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Published: 23 September 2019 Publication History
SBES '19: Proceedings of the XXXIII Brazilian Symposium on Software Engineering
In-Cooperation SBC: Sociedade Brasileira de Computação
Qualifiers short-paper Research Refereed limited
SBES '19
Paper Acceptance Rate 67 of 153 submissions, 44% Overall Acceptance Rate 147 of 427 submissions, 34%
Jordi Cabot, Javier Luis Cánovas Izquierdo, and Valerio Cosentino. 2018. Are CS Conferences (Too) Closed Communities? Commun. ACM 61, 10 (Sept. 2018), 32--34. Google Scholar Paulo Anselmo da Mota Silveira Neto, Joás Sousa Gomes, Eduardo Santana de Almeida, Jair Cavalcanti Leite, Thais Vasconcelos Batista, and Larissa Leite. 2013. 25 years of software engineering in Brazil: Beyond an insider's view. Journal of Systems and Software 86, 4 (2013), 872--889. Google Scholar Digital Library Emmanuel Sávio Silva Freire, Daniela Medeiros Cedro, and Antonio de Barros Serra. 2018. An Analysis of Brazilian Symposium on Software Quality (SBQS): Retrospective, Relevance, and Trends in the Past 5 Years. In 17th Brazilian Symposium on Software Quality (SBQS). ACM, New York, NY, USA, 31--40. Google Scholar Daniel Izquierdo, Nicole Huesman, Alexander Serebrenik, and Gregorio Robles. 2019. OpenStack Gender Diversity Report. IEEE Software 36, 1 (2019), 28--33. Google Scholar Digital Library Vivian Anette Lagesen. 2008. A Cyberfeminist Utopia?: Perceptions of Gender and Computer Science among Malaysian Women Computer Science Students and Faculty. Science, Technology, & Human Values 33, 1 (2008), 5--27. Google Scholar Cross Ref Davi Monteiro, Rômulo Gadelha, Thayse Alencar, Bruno Neves, Italo Yeltsin, Thiago Gomes, and Mariela Cortés. 2017. An Analysis of the Empirical Software Engineering over the Last 10 Editions of Brazilian Software Engineering Symposium. In 31st Brazilian Symposium on Software Engineering (SBES'17). ACM, New York, NY, USA, 44--53. Google Scholar Digital Library Klérisson Paixão, Marcelo Maia, and Marco Tulio Valente. 2018. Uma Análise da Produção Científica Brasileira em Conferências de Manutenção e Evolução de Software. In VI Workshop on Software Visualization, Evolution and Maintenance 2018, Sao Carlos, SP, Brasil, 2018. Google Scholar Gustavo Pinto, Clarice Ferreira, Cleice Souza, Igor Steinmacher, and Paulo Meirelles. 2019. Training Software Engineers using Open-Source Software: The Students' Perspective. In International Conference on Software Engineering: Software Engineering Education and Training Track, ICSE-SEET 2019. 1--10. Google Scholar Josh Terrell, Andrew Kofink, Justin Middleton, Clarissa Rainear, Emerson R. Murphy-Hill, Chris Parnin, and Jon Stallings. 2017. Gender differences and bias in open source: pull request acceptance of women versus men. Peer J Computer Science 3 (2017), e111. Google Scholar Cross Ref Marco Tulio Valente and Klerisson Paixao. 2018. CSIndexbr: Exploring the Brazilian Scientific Production in Computer Science. arXiv abs/1807.09266 (2018). Google Scholar Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, and Vladimir Filkov. 2015. Gender and Tenure Diversity in GitHub Teams. In 33rd ACM Conference on Human Factors in Computing Systems, CHI 2015. 3789--3798. Google Scholar Bogdan Vasilescu, Alexander Serebrenik, Tom Mens, Mark G.J. van den Brand, and Ekaterina Pek. 2014. How healthy are software engineering conferences? Science of Computer Programming 89 (2014), 251--272. Google Scholar Cross Ref
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The Brazilian Symposium on Software Engineering (SBES) is one of the most important Latin American software engineering coferences. In 2019 it completes its 33rd edition. Over these years, many researchers participated in the SBES attending the conference, submitting papers, or reviewing papers. In particular, the researchers that participated in the program committee, playing the reviewers' role, are fundamentally important to the whole event since their evaluations (e.g., deciding whether a paper is accepted or not) have the potential of drawing what SBES is now. Knowing that diversity is an important aspect of any group work, in this paper we wanted to understand how diverse (in terms of gender and geographic location) is the SBES program committee community. Among the findings, we observed that although the number of participants in the SBES PC increased over the years, most of them are men (~80%) and from the Southeast and Northeast of Brazil, with very few members from the North region.
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Chem Biol Interact. Author manuscript; available in PMC 2013 Jan 5.
a Division of Hematology/Oncology, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, United States

b Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL, United States

c Department of Medicine, University of Washington School of Medicine, Newcastle, WA, United States

d Focused Scientific, Newcastle, WA, United States

* Corresponding author. Address: 1600 SW, Archer Rd., POB 100277, Gainesville, FL 32610, United States. Tel.: +1 352 273 7832; fax: +1 352 273 5006. ude.lfu.enicidem@sjberom .

The publisher's final edited version of this article is available at Chem Biol Interact
GUID: CF54E4F9-1C99-4F45-AF9B-72771398A015
GUID: 455C6207-F5BA-49A3-A237-81C30F4F6961
GUID: F2D8601C-B0DE-4FEB-A8FA-D305F4931375
GUID: 4A0B2389-36BD-401F-82E3-7FBC65E21808
Keywords: ALDH activity, Stem cells, Aldefluor, DEAB, Cell proliferation, Drug resistance
a The results show the mean ± SD of the remaining ALDH enzymatic activity (%) after 5 min incubation of cell lysate with increasing concentrations of DEAB. The remaining activity % = activity after inhibitor/activity without inhibitor × 100. The baseline ALDH activity for K562/ALDH1A2 was 38 ± 9, K562/ALDH2 36 ± 6, H1299/ALDH1A2 86 ± 13, H1299/ALDH2 77 ± 18 nmol/10 7 cells*min. The ALDH activity of untransduced K562/WT and H1299/WT cells was 4.5 ± 2 and 3.6 ± 2.4 nmol/10 7 *min, respectively, and decreased to zero with the addition of DEAB.
a Ct reflects the fractional cycle number at which the fluorescence intensity exceeds the threshold intensity. Smaller Ct value indicates higher level of gene expression. For ALDH1A1 and ALDH3A1 , two different sets of primers were used in the custom made TaqMan array (shaded rows). Based on these Ct values, RQ was calculated using the Applied Biosystems software SDS Manager version 1.2.
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Галерея 3350780

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