162 research outputs found

    Getting to the Source of Ethical Issues

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    Research with open source software (OSS) raises the same ethical issues as other disciplines in which publicly released materials are the objects of study, and the creators of those materials are still living. These disciplines are literary and artistic criticism and public policy research. As El-Emam (this issue) mentioned there are also similarities to research employing internet newsgroup posts as data.Les recherches effectu\ue9es dans le domaine des logiciels \ue0 code source libre soul\ue8vent les m\ueames probl\ue8mes d'\ue9thique que dans les autres disciplines, o\uf9 des documents diffus\ue9s dans le public font l'objet d'\ue9tudes, alors que leurs auteurs sont toujours vivants. La critique litt\ue9raire, la critique artistique et les recherches sur les politiques gouvernementales constituent de telles disciplines. Comme le mentionne \ue9galement M. El Emam (dans ce num\ue9ro), il existe \ue9galement des similitudes avec les recherches qui font appel \ue0 des documents diffus\ue9s par des groupes de nouvelles sur l'Internet.Peer reviewed: YesNRC publication: Ye

    Ethical Issues in Empirical Studies of Software Engineering

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    The popularity of empirical methods in software engineering research is on the rise. Surveys, experiments, metrics, case studies, and field studies are examples of empirical methods used to investigate both software engineering processes and products. The increased application of empirical methods has also brought about an increase in discussions about adapting these methods to the peculiarities of software engineering. In contrast, the ethical issues raised by empirical methods have received little, if any, attention in the software engineering literature. This article is intended to introduce the ethical issues raised by empirical research to the software engineering research community, and to stimulate discussion of how best to deal with these ethical issues. Through a review of the ethical codes of several fields that commonly employ humans and artifacts as research subjects, we have identified major ethical issues relevant to empirical studies of software engineering. These issues are illustrated with real empirical studies of software engineering

    Supporting the Everyday Work of Scientists: Automating Scientific Workflows

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    This paper describes an action research project that we undertook with National Research Council Canada (NRC) scientists. Based on discussions about their \ud difficulties in using software to collect data and manage processes, we identified three requirements for increasing research productivity: ease of use for end- \ud users; managing scientific workflows; and facilitating software interoperability. Based on these requirements, we developed a software framework, Sweet, to \ud assist in the automation of scientific workflows. \ud \ud Throughout the iterative development process, and through a series of structured interviews, we evaluated how the framework was used in practice, and identified \ud increases in productivity and effectiveness and their causes. While the framework provides resources for writing application wrappers, it was easier to code the applications’ functionality directly into the framework using OSS components. Ease of use for the end-user and flexible and fully parameterized workflow representations were key elements of the framework’s success. \u

    Evaluation Factors for Multi-Stakeholder Broadband Visual Communication Projects

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    This paper presents a summary of multifaceted evaluation factors that we have identified through our research with Broadband Visual Communication (BVC) projects involving multiple stakeholders. The main benefit of these evaluation factors is that they provide a general evaluation framework for multiple stakeholder projects. The factors are social infrastructure, technical infrastructure, physical space, interaction style and content

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    This study analyzes short vlogs posted to YouTube in order to investigate how women and men communicate using vlogs and react as viewers to vlogs. Vlogs are visual texts that are usergenerated. Analyzing online videos presents a new challenge for researchers: traditionally, analysis of visual media and communication focused on either the production or the reception of the material. Our vlog study uses a dual analytical approach to analyze both production and reception, while conducting content, visual and audience analysis, thus making a contribution to the field of new visual media and communication. ______________________________________________________________________________ Heather Molyneaux is an analyst in the People-Centred Technologies group at the National Research Council Institute for Information Technology. Correspondence to: NRC Institute for Information 2 Producing and sharing user-generated video, known as "video blogging," has recently become popular with millions of people. Video blogs, also known as "vlogs," are blogs created in video rather than textual form. Vlogs are a form of online publishing, allowing everyone with web access and simple video production tools -such as a computer and a webcam or a cell phone with video capabilities -to create and post content. Most vlogs are authored by individuals and focus on personal themes . Like blogs, vlogs are a user-generated form of online communication that serve as media for social commentary, alternative newscasts, creative outlets or personal online diaries. We chose YouTube as an obvious source of online videos and a potential user community. YouTube is currently the most popular online video website and hosts more videos than rival video sites This study analyzes short vlogs posted to YouTube in order to investigate how and why people communicate using vlogs, and how viewers react to vlogs. In particular we examine potential uses of user-generated video for women, and how women are creating vlogs and using YouTube. Analyzing online videos presents a new challenge for researchers: traditionally, analysis of visual media and communication focused on either the production or the reception by different actors. Our study's dual analytical approach thus makes a useful contribution to the field of new visual media and communication. Our initial findings reveal gender differences in both vlog creation and YouTube use. Analyzing vlogs Videos are complicated texts requiring careful analysis conducted via various methods. Even though visual analysis is complex and the results usually subjective, videos need to be examined because they are becoming increasingly important in contemporary culture. Videos can aid communication by increasing communication richness, empowering those who develop their own videos and encouraging identity formation among users. Users benefit because video channels allow them to communicate in a more natural way resembling face-to-face communication New technologies could potentially change traditional social and political hierarchies and transform the boundaries between the private and the public Navarro, 1993, Milliken et al, 2008). New technologies also create new spaces for interaction and participation. At the same time, however, such technologies serve to widen gaps to access. Marginalized or minority groups are especially vulnerable to this phenomenon. Communication technology could play a role in turning women's talk into voice but there are limitations Another concern with the visual representation of women is exploitative images that present women not as subjects but as objects for the male gaze Although intervention is difficult, socially constructed meanings are neither fixed nor unalterable User-generated video on YouTube is just beginning to be examined by scholars. Little is known about who creates these videos, why they post them and who watches them Research methodology The research methods included a content and visual analysis of vlogs on YouTube and a study of YouTube users. Content analysis enables researchers to determine, through careful observation and analysis, the major themes in media content. We conducted our content analysis to explore who is vlogging, how audiences respond to vloggers and the influence of gender on these variables. Interpretations of vlogs change according to place, time and the audience; however visual messages have dominant meanings that provide interpretive boundaries for the decoding of messages 4 We conducted a content analysis on a random sample of YouTube vlogs. At the time of the study there was no obvious category on YouTube for vlogs so we conducted an initial search on YouTube using the term "blog" which returned more than 30,000 entries available for general viewing. For our population we chose vlogs posted over a 15-day period, from October 6 to October 21, 2006. To enable comparison among potentially similar vlogs, vlogs longer than three minutes and non-English vlogs were excluded, leaving us with a population of 1,028 vlogs. Using a listing of random numbers (RAND, 2001) we randomly selected 100 numbers between 1 and 1,028 and selected the vlogs corresponding to these random numbers. The quantitative analysis conducted on this sample is accurate within a 90% confidence level and a 7.8% error level. Since we were counting number of views for each vlog, we waited one month from the time of initial posting to the coding of the video. The vlogs and the profiles of the vloggers were coded for a number of variables, including gender, age, location, audience, message, motivation, technical quality (both audio and visual), and the number of views. Cohen's Kappa for these variables averaged .85. The final aspect of the research was an audience analysis of vlogs. We collected data on the number of views of each of the vlogs within the random sample and the views and comments from the YouTube site on the four videos analyzed in greater detail. We also conducted a study of 60 participants who were YouTube users. These participants were recruited from a university in Atlantic Canada. The study was designed to include an equal number of males (30) and females (30). Participants viewed the four vlogs described above, in a random order presented in their questionnaire. The study participants completed a paper questionnaire comprised of demographic questions and a section for feedback on the video blogs. Participation took approximately 45 minutes and participants were given a $10 honorarium. Research findings and discussion Our research findings are presented according to the three different methodological and analytical approaches we used, described above. The results of the content analysis conducted on the random sample of our population and the findings from the visual analysis of four vlogs and audience analysis are discussed. Content analysis -the vloggers A content analysis of the characteristics of vloggers in our random sample revealed that the majority of vlogs featured a single participant. Men posted vlogs more than women -58% to 33%; the gender of the vlogger could not be determined for the remaining 9%. When vlogs contained more than one participant, the majority of secondary participants were also male. Most vloggers, 61%, were adults ranging in age from 20 to 50 years, although about one-third, or 36%, were younger. The age of the vlogger could not be determined for 3% of the vlogs. The average age of the main vlog participant was 23 years. There was no great difference in the ages of men and women vloggers: the average age of men was 24, while the average age of women was 21. These findings are not surprising; studies done on internet use in the U.S. show that college students, who have greater access to technology, are frequent internet video users. A 5 2007 PEW internet study indicates that young adults, ages 18-29 are the most avid viewers of online video in the United States Text information posted on the user profiles occasionally differed from that stated in the actual video blog. The most popular misreported information was age. The researchers found four cases of vloggers posting on their profile a different age than they state in the video blog. In all four cases the vloggers were young women, ages 12, 14, 15 and 15, who reported their age in their profile as older than their actual age -86, 22, 20 and 46. Content analysis -the vlogs For our analysis we coded each vlog into one of five categories that we created: personal, public, entertainment, YouTube, and technology. The categorization was based on the message of the video. Personal vlogs offer viewers introductions to the vloggers' personal lives, provide updates on their lives, or act as home movies. Public vlogs report or discuss the news or politics, or offer social commentary. Entertainment vlogs consist of comedy routines, musical numbers, acted skits or dancing or a combination of these elements. YouTube vlogs are videos where people either ask questions for others to answer, respond to questions asked by other vloggers, or discuss other vlogs on YouTube. Technology vlogs either discuss technology or test out equipment. Herring, et al, note in their study of blogs that more bloggers discussed personal matters than any other category Content analysis -image and audio quality The quality of the vlog did not differ by the gender of the vlogger. When coding for quality the researchers took a basic approach, coding for three categories (excellent, acceptable and poor) for the quality of the image and sound. Men and women vloggers scored very similar ratings across the board. The videos created by women vloggers had slightly better image quality, and slightly poorer sound quality than those created by men

    Intranasal administration of mesenchymal stem cells ameliorates the abnormal dopamine transmission system and inflammatory reaction in the R6/2 mouse model of Huntington disease

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    Intrastriatal administration of mesenchymal stem cells (MSCs) has shown beneficial effects in rodent models of Huntington disease (HD). However, the invasive nature of surgical procedure and its potential to trigger the host immune response may limit its clinical use. Hence, we sought to evaluate the non-invasive intranasal administration (INA) of MSC delivery as an effective alternative route in HD. GFP-expressing MSCs derived from bone marrow were intranasally administered to 4-week-old R6/2 HD transgenic mice. MSCs were detected in the olfactory bulb, midbrain and striatum five days post-delivery. Compared to phosphate-buffered saline (PBS)-treated littermates, MSC-treated R6/2 mice showed an increased survival rate and attenuated circadian activity disruption assessed by locomotor activity. MSCs increased the protein expression of DARPP-32 and tyrosine hydroxylase (TH) and downregulated gene expression of inflammatory modulators in the brain 7.5 weeks after INA. While vehicle treated R6/2 mice displayed decreased Iba1 expression and altered microglial morphology in comparison to the wild type littermates, MSCs restored both, Iba1 level and the thickness of microglial processes in the striatum of R6/2 mice. Our results demonstrate significantly ameliorated phenotypes of R6/2 mice after MSCs administration via INA, suggesting this method as an effective delivering route of cells to the brain for HD therapy
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