Faculty and Staff

Background: Emerging interventions that rely on and harness variability in behavior to adapt to individual performance over time may outperform interventions that prescribe static goals (e.g., 10,000 steps/day). The purpose of this factorial trial was to compare adaptive vs. static goal setting and immediate vs. delayed, non-contingent financial rewards for increasing free-living physical activity (PA).

Methods: A 4-month 2 × 2 factorial randomized controlled trial tested main effects for goal setting (adaptive vs. static goals) and rewards (immediate vs. delayed) and interactions between factors to increase steps/day as measured by a Fitbit Zip. Moderate-to-vigorous PA (MVPA) minutes/day was examined as a secondary outcome.

Results: Participants (N = 96) were mainly female (77%), aged 41 ± 9.5 years, and all were insufficiently active and overweight/obese (mean BMI = 34.1 ± 6.2). Participants across all groups increased by 2389 steps/day on average from baseline to intervention phase (p < .001). Participants receiving static goals showed a stronger increase in steps per day from baseline phase to intervention phase (2630 steps/day) than those receiving adaptive goals (2149 steps/day; difference = 482 steps/day, p = .095). Participants receiving immediate rewards showed stronger improvement (2762 step/day increase) from baseline to intervention phase than those receiving delayed rewards (2016 steps/day increase; difference = 746 steps/day, p = .009). However, the adaptive goals group showed a slower decrease in steps/day from the beginning of the intervention phase to the end of the intervention phase (i.e. less than half the rate) compared to the static goals group (−7.7 steps vs. -18.3 steps each day; difference = 10.7 steps/day, p < .001) resulting in better improvements for the adaptive goals group by study end. Rate of change over the intervention phase did not differ between reward groups. Significant goal phase x goal setting x reward interactions were observed.

Conclusions: Adaptive goals outperformed static goals (i.e., 10,000 steps) over a 4-month period. Small immediate rewards outperformed larger, delayed rewards. Adaptive goals with either immediate or delayed rewards should be preferred for promoting PA.

People with multiple sclerosis (MS) exhibit pronounced changes in brain structure, activity, and connectivity. While considerable work has begun to elucidate how these neural changes contribute to behavior, the heterogeneity of symptoms and diagnoses makes interpretation of findings and application to clinical practice challenging. In particular, whether MS related changes in brain activity or brain connectivity protect against or contribute to worsening motor symptoms is unclear. With the recent emergence of neuromodulatory techniques that can alter neural activity in specific brain regions, it is critical to establish whether localized brain activation patterns are contributing to (i.e. maladaptive) or protecting against (i.e. adaptive) progression of motor symptoms. In this manuscript, we consolidate recent findings regarding changes in supraspinal structure and activity in people with MS and how these changes may contribute to motor performance. Furthermore, we discuss a hypothesis suggesting that increased neural activity during movement may be either adaptive or maladaptive depending on where in the brain this increase is observed. Specifically, we outline preliminary evidence suggesting sensorimotor cortex activity in the ipsilateral cortices may be maladaptive in people with MS. We also discuss future work that could supply data to support or refute this hypothesis, thus improving our understanding of this important topic.

Linnorm is a novel normalization and transformation method for the analysis of single cell RNA sequencing (scRNA-seq) data. Linnorm is developed to remove technical noises and simultaneously preserve biological variations in scRNA-seq data, such that existing statistical methods can be improved. Using real scRNA-seq data, we compared Linnorm with existing normalization methods, including NODES, SAMstrt, SCnorm, scran, DESeq and TMM. Linnorm shows advantages in speed, technical noise removal and preservation of cell heterogeneity, which can improve existing methods in the discovery of novel subtypes, pseudo-temporal ordering of cells, clustering analysis, etc. Linnorm also performs better than existing DEG analysis methods, including BASiCS, NODES, SAMstrt, Seurat and DESeq2, in false positive rate control and accuracy.

Background: The transition from the home to college is a phase in which emerging adults shift toward more unhealthy eating and physical activity patterns, higher body mass indices, thus increasing risk of overweight/obesity. Currently, little is understood about how changing friendship networks shape weight gain behaviors. This paper describes the recruitment, data collection, and data analytic protocols for the SPARC (Social impact of Physical Activity and nutRition in College) study, a longitudinal examination of the mechanisms by which friends and friendship networks influence nutrition and physical activity behaviors and weight gain in the transition to college life.

Methods: The SPARC study aims to follow 1450 university freshmen from a large university over an academic year, collecting data on multiple aspects of friends and friendship networks. Integrating multiple types of data related to student lives, ecological momentary assessments (EMAs) are administered via a cell phone application, devilSPARC. EMAs collected in four 1-week periods (a total of 4 EMA waves) are integrated with linked data from web-based surveys and anthropometric measurements conducted at four times points (for a total of eight data collection periods including EMAs, separated by ~1 month). University databases will provide student card data, allowing integration of both time-dated data on food purchasing, use of physical activity venues, and geographical information system (GIS) locations of these activities relative to other students in their social networks.

Discussion: Findings are intended to guide the development of more effective interventions to enhance behaviors among college students that protect against weight gain during college.

Although they have distinct missions, public libraries and academic libraries serve overlapping populations and can leverage their institutional strengths through collaboration. These diverse partnerships include sharing resources through consortia, joint-use libraries, and shared programming, such as introducing students to public library collections as resources for theses. For the scholarly communication librarian, collaborating with public libraries provides opportunities to educate about the ethical and legal use of information, advocate for the promotion and use of open resources and pedagogies, and interact with communities, particularly in rural areas, that are traditionally underserved by academic libraries. We’ll share two personal examples of the intersection between scholarly communication and public libraries.

In this case study, we reflect on our journey through a major revision of our streaming video reserve guidelines, informed by an environmental scan of comparable library services and current copyright best practices. Once the guidelines were revised, we developed an implementation plan for communicating changes and developing training materials to both instructors and internal library staff. We share our navigation strategies, obstacles faced, lessons learned, and ongoing challenges. Finally, we map out some of our future directions for improving and streamlining our services.

Purpose: In spring of 2007, Arizona State University Libraries held a focus group of selected faculty to discover their perceptions and use of electronic books (e-books) in their research and teaching.

Methodology/approach: We employed the services of the Institute of Social Sciences Research to recruit and moderate the focus group. The following major themes were explored:
       1) Use of e-books as textbooks.
       2) Use of e-books for personal research.
       3) Comparison between e-books and print.
       4) Disciplinary differences in perceptions of e-books.
       5) Motivators for future use

Findings: Overall, the focus group revealed that faculty had generally unsatisfactory experiences in using e-books in their research and teaching due to the unreliability of access, lack of manipulability, and the steep learning curve of the various interfaces. However, most faculty agreed that e-books would be a very viable and useful alternative if these issues were resolved.

Research limitations/implications: The focus group consisted of only six faculty members and hence is not representative of faculty as a whole. A larger survey of a more diverse faculty population would greatly serve to clarify and expand upon our findings.

Practical implications: The implications for academic libraries include providing better outreach and training to faculty about the e-book platforms offered, provide better course support, and advocate to e-book vendors to consider faculty's teaching and research needs in their product development.

Originality/value of paper: To the best knowledge of the authors, this is the first published study of faculty opinions and use of e-books utilizing focus group methodology and offers detailed information that would be useful for academic libraries and e-book vendors for evidence-based decisions.