Enhancing the Library Users\u27 Web Site Experience with Web Analytics

Many libraries routinely use web analytics, that is the collection and analysis of data about website usage, for the purposes of understanding and optimizing the library user\u27s experience on their web sites. This session will focus on how two libraries, the University of St Thomas and Macalester College, are using different tools to gather data about web site usage in an effort to discover how patrons are using their library\u27s web sites and whether they finding what they are looking for. Oberg and Durrant will give a brief overview of the tools that they are each using for this purpose - Google Analytics at the University of St. Thomas and LibData at Macalester College - and both will share how they are using the data gathered to change their library\u27s web sites to increase the success of their users\u27 experience

Learn to Use Timelines to Engage Community and Exhibit Digital Collections

In this workshop, you\u27ll learn how to work with two open source timeline resources, the SIMILE project and Timeline JS. In a computer lab environment, you will create your own timeline, and you will gain knowledge that you can take back to your work and put to use instantly. With these easy-to-use freely available timeline tools, it is possible to create small-scale digital humanities projects and exhibits and present them on a website or a blog. Both tools can be used to engage the community with your collections or other online collections. A minimum of technical expertise is needed and these two tools are great for collaborating with colleagues, students, faculty, or others

Digital Commons and SelectedWorks: The Hub of Academic Life on Campus

As the world‟s leading hosted institutional repository platform, Digital Commons and SelectedWorks offer a suite of services designed to collect, organize, and showcase scholarship on the web. By offering scholarly publishing support services and resources to highlight the academic work being done on their campuses, academic libraries are quickly becoming the center of scholarly publishing for their institution. In this session, Annie Teng from bepress will give an overview of Digital Commons and Selected Works. Emily Asch will discuss St. Catherine University‟s recent implementation of these intertwined resources and show how they are being used to highlight and promote the published works of their St. Kate\u27s faculty. Johan Oberg will highlight Macalester‟s use of Digital Commons to promote: undergraduate scholarly work, honors research projects, undergraduate academic journals published on campus, and a multimedia e-book publication that features streaming audio and video. ABOUT THE PRESENTERS: Emily Asch is Head of Technical Services at St. Catherine University; Johan Oberg is the Digital Scholarship & Electronic Resources Librarian at Macalester College; and Annie Teng is sales manager for Digital Commons at Berkeley Electronic Press

Taking LibData to New Heights

In addition to a brief overview of the LibData system, this session will provide examples of how LibData can be extended to provide interactive and dynamic web content based on data categories or user profiles. Specific topics include Macalester College\u27s use of LibData to create a facet-based A-Z list of e-resources, and the exciting LibData applications developed at the University of Minnesota, which include a push-based Portal system using user identification strings (affinity strings), automatic course resource suggestions, and AlephX integration

DeWitt Wallace Library Biennial Report 2011-2013

Summary of library activities for 2011-201

Repeatability and validity of a standardised maximal step-up test for leg function-a diagnostic accuracy study

<p>Abstract</p> <p>Background</p> <p>Objectively assessed physical performance is a strong predictor for morbidity and premature death and there is an increasing interest in the role of sarcopenia in many chronic diseases. There is a need for robust and valid functional tests in clinical practice. Therefore, the repeatability and validity of a newly developed maximal step up test (MST) was assessed.</p> <p>Methods</p> <p>The MST, assessing maximal step-up height (MSH) in 3-cm increments, was evaluated in 60 healthy middle-aged subjects, 30 women and 30 men. The repeatability of MSH and the correlation between MSH and isokinetic knee extension peak torque (IKEPT), self-reported physical function (SF-36, PF), patient demographics and self-reported physical activity were investigated.</p> <p>Results</p> <p>The repeatability between occasions and between testers was 6 cm. MSH (range 12-45 cm) was significantly correlated to IKEPT, (<it>r </it>= 0.68, <it>P </it>< 0.001), SF-36 PF score, (<it>r </it>= 0.29, <it>P </it>= 0.03), sex, age, weight and BMI. The results also show that MSH above 32 cm discriminates subjects in our study with no limitation in self-reported physical function.</p> <p>Conclusions</p> <p>The standardised MST is considered a reliable leg function test for clinical practice. The MSH was related to knee extension strength and self-reported physical function. The precision of the MST for identification of limitations in physical function needs further investigation.</p

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM