Ascending Bloom\u27s Pyramid: Fostering student creativity and innovations in academic library spaces

Our research examined the degree to which behaviors and learning associated with creativity and innovation were supported in five academic library spaces and three other spaces at a mid-sized university. Based on survey data from 226 students, we apply a number of statistical techniques to measure student perceptions of the types of learning and behavior associated with the selected spaces. We found that the on-campus makerspace located outside the library encouraged the most innovative behaviors and exploration of new ideas. Within the library, collaboration rooms were the best spaces for encouraging creativity. There is an opportunity for the academic library to be reconceptualized as a place to foster creativity and innovation in students. We believe that academic libraries should continue to offer a variety of spaces for students, including quiet spaces for reflection, noisy spaces for collaboration and networking, and makerspaces for experimentation

Light Bulb Moments: Where Do Student Entrepreneurs Get Their Ideas

Understanding how to support creative ideation is an important, yet, elusive, issue for marketing educators. To shed light, this study proposes ideation as a malleable state influenced by “outside-the-brain” resources. By examining venture concept ideation, this study captures the ideation–environment relationship using experience sampling to tap into the daily lives of student entrepreneurs. The findings identify how entrepreneurial ideas emerge from specific external interactions and engagements, which are contextualized using two Japanese conceptualizations of space, ba (場) and ma (間). The results inform both marketing education and entrepreneurial marketing

The association of resilience and physical activity in older adults: cross-sectional analyses from the NICOLA study

Aim: As more of the world’s population are living longer, supporting the mental and physical health of older adults is becoming increasingly important in public health. Resilience is a dynamic process encompassing positive adaptation in the face of adverse experiences that would otherwise lead to poor outcomes. The aim of the study is to explore the association between physical activity and resilience in older adults. Subject and methods: The data used in this study was taken from the results of the Self Completed Questionnaires and Computer Assisted Personal Interviews from the Northern Ireland Cohort for the Longitudinal Study of Ageing. A secondary analysis was conducted on a sample of 4040 participants to examine the association between resilience (Brief Resilience Scale) and on moderate/vigorous physical activity (International Physical Activity Questionnaire – Short Form) through chi-square and Mann–Whitney U tests and an ordinal regression being conducted. Results: Data was included for 4040 participants, of whom 90% did not meet the recommended moderate physical activity guidelines. The findings of this study indicated that higher resilience levels are associated with higher levels of moderate and vigorous physical activity levels. Conclusion: Worryingly, a large percentage of the older adult population are not sufficiently active and this is something that needs to be addressed. The findings suggest that with these low levels of physical activity, interventions should be created to target this population.</p

The Calibration of the WISE W1 and W2 Tully-Fisher Relation

In order to explore local large-scale structures and velocity fields, accurate galaxy distance measures are needed. We now extend the well-tested recipe for calibrating the correlation between galaxy rotation rates and luminosities -- capable of providing such distance measures -- to the all-sky, space-based imaging data from the Wide-field Infrared Survey Explorer (WISE) W1 ($3.4\mu$m) and W2 ($4.6\mu$m) filters. We find a linewidth to absolute magnitude correlation (known as the Tully-Fisher Relation, TFR) of $\mathcal{M}^{b,i,k,a}_{W1} = -20.35 - 9.56 (\log W^i_{mx} - 2.5)$ (0.54 magnitudes rms) and $\mathcal{M}^{b,i,k,a}_{W2} = -19.76 - 9.74 (\log W^i_{mx} - 2.5)$ (0.56 magnitudes rms) from 310 galaxies in 13 clusters. We update the I-band TFR using a sample 9% larger than in Tully & Courtois (2012). We derive $\mathcal{M}^{b,i,k}_I = -21.34 - 8.95 (\log W^i_{mx} - 2.5)$ (0.46 magnitudes rms). The WISE TFRs show evidence of curvature. Quadratic fits give $\mathcal{M}^{b,i,k,a}_{W1} = -20.48 - 8.36 (\log W^i_{mx} - 2.5) + 3.60 (\log W^i_{mx} - 2.5)^2$ (0.52 magnitudes rms) and $\mathcal{M}^{b,i,k,a}_{W2} = -19.91 - 8.40 (\log W^i_{mx} - 2.5) + 4.32 (\log W^i_{mx} - 2.5)^2$ (0.55 magnitudes rms). We apply an I-band -- WISE color correction to lower the scatter and derive $\mathcal{M}_{C_{W1}} = -20.22 - 9.12 (\log W^i_{mx} - 2.5)$ and $\mathcal{M}_{C_{W2}} = -19.63 - 9.11 (\log W^i_{mx} - 2.5)$ (both 0.46 magnitudes rms). Using our three independent TFRs (W1 curved, W2 curved and I-band), we calibrate the UNION2 supernova Type Ia sample distance scale and derive $H_0 = 74.4 \pm 1.4$(stat) $\pm\ 2.4$(sys) kms$^{-1}$ Mpc$^{-1}$ with 4% total error.Comment: 22 page, 21 figures, accepted to ApJ, Table 1 data at http://spartan.srl.caltech.edu/~neill/tfwisecal/table1.tx