Is There a Crisis of Accountability in the American Research University?

America's research universities, approximately 125 in number,play important roles in the nation's research system, and help toset the tone for all institutions of research and higherlearning. As the research universities have formed closer linkswith industry, new problems have arisen that have precipitated amajor debate. The academic medical centres and related lifescience departments present some of the most challenging newissues, which are analysed in this paper within the framework ofthe biomedical research system that has evolved in the UnitedStates since the Second World War.     

Modeling the Etiology of Individual Differences in Early Reading Development: Evidence for Strong Genetic Influences

We explored the etiology of individual differences in reading development from post-kindergarten to post–4th grade by analyzing data from 487 twin pairs tested in Colorado. Data from three reading measures and one spelling measure were fit to biometric latent growth curve models, allowing us to extend previous behavioral genetic studies of the etiology of early reading development at specific time points. We found primarily genetic influences on individual differences at post–1st grade for all measures. Genetic influences on variance in growth rates were also found, with evidence of small, nonsignificant, shared environmental influences for two measures. We discuss our results, including their implications for educational policy.     

A confirmatory factor analysis of the hendrick‐hendrick love attitudes scale: We may not yet have an acceptable model

Loving is a fundamental aspect of being human. Freud himself argued that the inability to love leads to illness, and some empirical research appears to support his view. Yet our knowledge of the nature of love remains primitive, because until recently it was not considered scientifically respectable to investigate love phenomena. This study used confirmatory factor analytic methods to test the fit of various models to data provided by 499 subjects on the 1990 version of the Hendrick and Hendrick Love Attitudes Scale. The results suggest that counselors and researchers should not treat the love styles delineated by Lee as discrete or uncorrelated entities. The results also suggest that the traditional model regarding this measure, positing (a) six factors (b) that are uncorrelated, may not provide a very good fit to data from the Love Attitudes Scale.     

The relative effectiveness of computer‐based and traditional resources for education in anatomy

There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer‐based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211–215. © 2013 American Association of Anatomists.     

The LINDSAY Virtual Human Project: An immersive approach to anatomy and physiology

The increasing number of digital anatomy teaching software packages challenges anatomy educators on how to best integrate these tools for teaching and learning. Realistically, there exists a complex interplay of design, implementation, politics, and learning needs in the development and integration of software for education, each of which may be further amplified by the somewhat siloed roles of programmers, faculty, and students. LINDSAY Presenter is newly designed software that permits faculty and students to model and manipulate three‐dimensional anatomy presentations and images, while including embedded quizzes, links, and text‐based content. A validated tool measuring impact across pedagogy, resources, interactivity, freedom, granularity, and factors outside the immediate learning event was used in conjunction with observation, field notes, and focus groups to critically examine the impact of attitudes and perceptions of all stakeholders in the early implementation of LINDSAY Presenter before and after a three‐week trial period with the software. Results demonstrate that external, personal media usage, along with students' awareness of the need to apply anatomy to clinical professional situations drove expectations of LINDSAY Presenter. A focus on the software over learning, which can be expected during initial orientation, surprisingly remained after three weeks of use. The time‐intensive investment required to create learning content is a detractor from user‐generated content and may reflect the consumption nature of other forms of digital learning. Early excitement over new technologies needs to be tempered with clear understanding of what learning is afforded, and how these constructively support future application and integration into professional practice. Anat Sci Educ. © 2012 American Association of Anatomists.     

Viscoelastic and mechano-sorptive studies applied to the conservation of historical violins: A case study of the Guarneri “del Gesù” violin (1743) known as the “Cannone”

To assess the possible effects of mechanical loading on the conservation of historical wooden musical instruments, a research project was carried out on the violin Guarneri “del Gesù” (1743), known as the “Cannone”. This paper refers to the results obtained by studying the deformations to which a violin is subjected after being tuned, with special attention to the viscous and mechano-sorptive behaviour (as in a concert environment for example). The amount of viscoelastic creep was quantified under normal tuning conditions, and the mechano-sorptive creep was quantified using a dead mass resulting in 55% of the elastic deformation obtained after tuning. The viscoelastic and mechano-sorptive deformations were clearly observed. These deformations were completely recovered once the violin was unloaded, demonstrating that this violin structure is appropriately dimensioned for the applied stresses.     

Generating gene summaries from biomedical literature: A study of semi-structured summarization

Most knowledge accumulated through scientific discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understanding gene regulations is fundamental to biomedical research, summarizing all the existing knowledge about a gene based on literature is highly desirable to help biologists digest the literature. In this paper, we present a study of methods for automatically generating gene summaries from biomedical literature. Unlike most existing work on automatic text summarization, in which the generated summary is often a list of extracted sentences, we propose to generate a semi-structured summary which consists of sentences covering specific semantic aspects of a gene. Such a semi-structured summary is more appropriate for describing genes and poses special challenges for automatic text summarization. We propose a two-stage approach to generate such a summary for a given gene – first retrieving articles about a gene and then extracting sentences for each specified semantic aspect. We address the issue of gene name variation in the first stage and propose several different methods for sentence extraction in the second stage. We evaluate the proposed methods using a test set with 20 genes. Experiment results show that the proposed methods can generate useful semi-structured gene summaries automatically from biomedical literature, and our proposed methods outperform general purpose summarization methods. Among all the proposed methods for sentence extraction, a probabilistic language modeling approach that models gene context performs the best.