00614nas a2200133   4500008004100000245016100041210006900202260000900271653001500280653000800295100001900303700002000322856013800342       2015                        eng d00aAffordance Perception in Risk Adverse IT Adoption: An Agenda to Identify Drivers of Risk Consideration and Control Adoption in Individual Technology Choices0 aAffordance Perception in Risk Adverse IT Adoption An Agenda to I  c201510aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron  uhttps://business.oregonstate.edu/biblio/affordance-perception-risk-adverse-it-adoption-agenda-identify-drivers-risk-consideration-and02114nas a2200181   4500008004100000245008500041210006900126260000900195300001200204490000700216520152400223653001501747653000801762100002201770700002001792700002001812856010001832       2010                        eng d00aAspects of 'Relevance' in the Alignment of Curriculum with Educational Standards0 aAspects of Relevance in the Alignment of Curriculum with Educati  c2010  a362-3760 v463 aRetrieval of useful digitized learning objects is a key objective for educational digital libraries, but imprecise definitions of alignment hinder the development of effective retrieval mechanisms. With over 63,000 U.S. K-12 science and mathematics education standards and a rapid proliferation of Web-enabled curriculum, retrieving curriculum that aligns with the standards to which teachers must teach is increasingly important. Previous studies of such alignment use single-dimensional and binary measures of relevance. Perhaps as a consequence they suffer from low inter-rater reliability (IRR), with experts agreeing about alignments only some 20-40% of the time. We present the results of an experiment in which the dependent variable ‘alignment’ is operationalized using the Saracevic model of relevance in which; i.e., alignment is defined and measured through ‘clues’ from the everyday practice of K-12 teaching. Results show higher inter-rater reliability on all clues with significantly higher IRR on several specific alignment dimensions. In addition, a (linear) model of ‘overall alignment’ is derived and estimated. Both the structure and explanatory power of the model differ significantly between searching vs. assessment. These results illustrate the usefulness of clue-based relevance measures for information retrieval and have important consequences for both the formulation of automated retrieval mechanisms and the construction of a gold standard set of standard-curriculum alignments.10aAccounting10aBIS1 aReitsma, Reindert1 aMarshall, Byron1 aZarske, Malinda  uhttp://www.sciencedirect.com/science/article/B6VC8-4XF7Y02-1/2/3fd5e4257f3d904d5929eeff2185c67801468nas a2200205   4500008004100000245006900041210006900110260000900179300001300188490000700201520086100208653001501069653000801084100002001092700001201112700002101124700001901145700001901164856007901183       2006                        eng d00aAggregating Automatically Extracted Regulatory Pathway Relations0 aAggregating Automatically Extracted Regulatory Pathway Relations  c2006  a100- 1080 v103 aAutomatic tools to extract information from biomedical texts are needed to help researchers leverage the vast and increasing body of biomedical literature. While several biomedical relation extraction systems have been created and tested, little work has been done to meaningfully organize the extracted relations. Organizational processes should consolidate multiple references to the same objects over various levels of granularity, connect those references to other resources, and capture contextual information. We propose a feature decomposition approach to relation aggregation to support a five-level aggregation framework. Our BioAggregate tagger uses this approach to identify key features in extracted relation name strings. We show encouraging feature assignment accuracy and report substantial consolidation in a network of extracted relations.10aAccounting10aBIS1 aMarshall, Byron1 aSu, Hua1 aMcDonald, Daniel1 aEggers, Shauna1 aChen, Hsinchun  uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_IEEE_TITB_2005.pdf