Does the host match the content? A taxonomical update on online consumption communities

This article proposes a taxonomy of online consumption communities in order to address this rather ambiguously conceptualised research field. Specifically, intercommunity differences are investigated with regard to how content focus (brand vs activity) and its congruency with the type of host (doubled vs mixed) affect consumers’ posting behaviour. Based on an online survey (n = 888), a series of regressions of various benefits on posting behaviour supports the usability of the proposed taxonomy. In particular, social benefits had the strongest effect on consumers’ posting behaviour across all communities, while the effects of functional, altruistic and sharing benefits varied in significance and direction of influence when accounting for the different community characteristics. These findings help marketing managers to design online communities and motivate consumers to contribute. © 2015, Westburn Publishers Ltd

Academic Librarianship and the Redefining Scholarship Project: A Report from the Association of College and Research Libraries Task Force on Institutional Priorities and Faculty Rewards

At the July, 1996 Annual Conference of the American Library Association, the Board of Directors of the Association of College and Research Libraries (ACRL) appointed a task force to write a formal statement defining and describing the kind of scholarship performed by academic librarians, using as a framework the taxonomy developed by Eugene Rice and elaborated by Ernest Boyer in his 1990 book Scholarship Reconsidered: Priorities of the Professoriate.(1) The task force\u27s statement, upon approval by the ACRL Board, is intended to become part of a larger movement established by Syracuse University\u27s Center for Instructional Development, entitled the Institutional Priorities and Faculty Rewards project. The project, which is being funded by the Lilly Endowment, with support from the Fund for the Improvement of Postsecondary Education, is providing assistance to academic associations for the development and dissemination of definitions of scholarship for their disciplines. The definitions are intended to extend the range of activities recognized as scholarly for the purposes of tenure, promotion, merit, or reward system guidelines. The following is the report of the ACRL task force

PARTS: Probabilistic Alignment for RNA joinT Secondary structure prediction

A novel method is presented for joint prediction of alignment and common secondary structures of two RNA sequences. The joint consideration of common secondary structures and alignment is accomplished by structural alignment over a search space defined by the newly introduced motif called matched helical regions. The matched helical region formulation generalizes previously employed constraints for structural alignment and thereby better accommodates the structural variability within RNA families. A probabilistic model based on pseudo free energies obtained from precomputed base pairing and alignment probabilities is utilized for scoring structural alignments. Maximum a posteriori (MAP) common secondary structures, sequence alignment and joint posterior probabilities of base pairing are obtained from the model via a dynamic programming algorithm called PARTS. The advantage of the more general structural alignment of PARTS is seen in secondary structure predictions for the RNase P family. For this family, the PARTS MAP predictions of secondary structures and alignment perform significantly better than prior methods that utilize a more restrictive structural alignment model. For the tRNA and 5S rRNA families, the richer structural alignment model of PARTS does not offer a benefit and the method therefore performs comparably with existing alternatives. For all RNA families studied, the posterior probability estimates obtained from PARTS offer an improvement over posterior probability estimates from a single sequence prediction. When considering the base pairings predicted over a threshold value of confidence, the combination of sensitivity and positive predictive value is superior for PARTS than for the single sequence prediction. PARTS source code is available for download under the GNU public license at http://rna.urmc.rochester.edu

Core transcriptional regulatory circuitry in human hepatocytes

We mapped the transcriptional regulatory circuitry for six master regulators in human hepatocytes using chromatin immunoprecipitation and high-resolution promoter microarrays. The results show that these regulators form a highly interconnected core circuitry, and reveal the local regulatory network motifs created by regulator–gene interactions. Autoregulation was a prominent theme among these regulators. We found that hepatocyte master regulators tend to bind promoter regions combinatorially and that the number of transcription factors bound to a promoter corresponds with observed gene expression. Our studies reveal portions of the core circuitry of human hepatocytes