131,916 research outputs found
Sober Thoughts on Drunken Consent
No full textDrunken sex is common. Despite how common drunken sex is, we think very uncritically about it. In this paper, I want to examine whether drunk individuals can consent to sex. Specifically, I answer this question: suppose that an individual, D, who is drunk but can still engage in reasoning and communication, agrees to have sex with a sober individual, S; is D’s consent to sex with S morally valid? I will argue that, within a certain range of intoxication, an individual who is drunk can give valid consent to have sex with an individual who is sober
Sober Thoughts on Drunken Consent
No full textDrunken sex is common. Despite how common drunken sex is, we think very uncritically about it. In this paper, I want to examine whether drunk individuals can consent to sex. Specifically, I answer this question: suppose that an individual, D, who is drunk but can still engage in reasoning and communication, agrees to have sex with a sober individual, S; is D’s consent to sex with S morally valid? I will argue that, within a certain range of intoxication, an individual who is drunk can give valid consent to have sex with an individual who is sober
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Testing for Treeness: Lateral Gene Transfer, Phylogenetic Inference, and Model Selection
No full textA phylogeny that allows for lateral gene transfer (LGT) can be thought of as a strictly branching tree (all of whose branches are vertical) to which lateral branches have been added. Given that the goal of phylogenetics is to depict evolutionary history, we should look for the best supported phylogenetic network and not restrict ourselves just to trees. However, the obvious extensions of popular tree-based methods such as Maximum Parsimony and Maximum Likelihood face a serious problem – if we judge networks by fit to data alone, networks that have lots of lateral branches will always fit the data at least as well as any network that restricts itself to vertical branches. This is analogous to the well-studied problem of overfitting data in the curve-fitting problem. Analogous problems often have analogous solutions and we propose to treat network inference as a case of model selection and use the Akaike Information Criterion (AIC). Strictly tree-like networks are more parsimonious than those that postulate lateral as well as vertical branches. This leads to the conclusion that we should not always infer LGT events whenever it would improve our fit-to-data, but should do so only when the improved fit is larger than the penalty for adding extra lateral branches
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
Sober Thoughts on Drunken Consent: Intoxication and Consent to Sexual Relations
No full textDrunken sex is common. Despite how common drunken sex is, we thinkvery uncritically about it. In this paper, I want to examine whether drunk individualscan consent to sex. Specifically, I answer this question: suppose that an individual,D, who is drunk but can still engage in reasoning and communication, agrees to havesex with a sober individual, S; is D’s consent to sex with S morally valid? I will arguethat, within a certain range of intoxication, an individual who is drunk can give validconsent to have sex with an individual who is sober
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