Wichita State University

About: Wichita State University is a education organization based out in Wichita, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4988 authors who have published 9563 publications receiving 253824 citations. The organization is also known as: WSU & Fairmount College.

Idiosyncratic Risk and the Cross-Section of Stock Returns: Merton (1987) Meets Miller (1977)

Abstract: Merton (1987) predicts that idiosyncratic risk should be priced when investors hold sub-optimally diversified portfolios, but empirical research has not been supportive of the theory. An overlooked assumption in Merton (1987) is that the predictions are predicated on frictionless markets, and in particular an absence of short-sale constraints. We examine the cross-sectional effects of idiosyncratic risk (and dispersion of beliefs) while controlling for short-sale constraints. We find that when short-sale constraints are absent, both idiosyncratic risk and dispersion of analyst forecasts are positively correlated with future abnormal returns; a result consistent with Merton (1987). However, when short-sale constraints are present the correlation becomes negative: increased analyst dispersion and idiosyncratic volatility produce negative abnormal returns, consistent with Miller (1977). This can explain the inconsistent empirical findings in the previous literature, which casts Merton (1987) and Miller (1977) as competing hypotheses.

Automatically Recommending Peer Reviewers in Modern Code Review

Abstract: Code review is an important part of the software development process. Recently, many open source projects have begun practicing code review through “modern” tools such as GitHub pull-requests and Gerrit. Many commercial software companies use similar tools for code review internally. These tools enable the owner of a source code change to request individuals to participate in the review, i.e., reviewers. However, this task comes with a challenge. Prior work has shown that the benefits of code review are dependent upon the expertise of the reviewers involved. Thus, a common problem faced by authors of source code changes is that of identifying the best reviewers for their source code change. To address this problem, we present an approach, namely cHRev , to automatically recommend reviewers who are best suited to participate in a given review, based on their historical contributions as demonstrated in their prior reviews. We evaluate the effectiveness of cHRev on three open source systems as well as a commercial codebase at Microsoft and compare it to the state of the art in reviewer recommendation. We show that by leveraging the specific information in previously completed reviews (i.e.,quantification of review comments and their recency), we are able to improve dramatically on the performance of prior approaches, which (limitedly) operate on generic review information (i.e., reviewers of similar source code file and path names) or source coderepository data. We also present the insights into why our approach cHRev outperforms the existing approaches.

Sexual counselling of cardiac patients:: Nurses perception of practice, responsibility and confidence

Abstract: Background: Cardiac patients may experience problems with sexual activity as a result of their disease, medications or anxiety and nurses play an important role in sexual counselling. We studied th ...

Vibrational characterization of simple peptides using cryogenic infrared photodissociation of H2-tagged, mass-selected ions.

Abstract: We present infrared photodissociation spectra of two protonated peptides that are cooled in a ∼10 K quadrupole ion trap and “tagged” with weakly bound H2 molecules. Spectra are recorded over the ra...