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Academic libraries seek to engage people with information resources and maximize use of library spaces. When users increasingly rely on digital rather than print resources, libraries respond by shifting space usage from stacks to user working and reading spaces. How then do we, as academic library professionals, best keep print

Academic libraries seek to engage people with information resources and maximize use of library spaces. When users increasingly rely on digital rather than print resources, libraries respond by shifting space usage from stacks to user working and reading spaces. How then do we, as academic library professionals, best keep print collections on public view and maximize user engagement?

In this whitepaper, we focus on fostering engagement with print resources among\nlibrary users, particularly with open stack print collections and users within the local community. We advocate moving toward a more flexible, more user-focused service that makes library collections easier to understand and to use. Libraries need to work with their surrounding communities in the further development and presentation of their collections. We offer a flexible, a la carte approach to transforming open stack academic library print collection management. We have developed a three-tiered system of potential approaches and actions for academic libraries to foster engagement with their collections. We also include materials and tools to help guide individual libraries towards a data-driven approach to print curation that may be tailored to their local context. We hope that these approaches and tools aid academic libraries in helping users engage in meaningful dialogues with print resources.

As part of a $50,000 planning grant from the Andrew W. Mellon Foundation, the analysis is aimed at fostering engagement with print resources among library users, particularly with open stack print collections and users within the local community. "The Future of the Academic Library Print Collection: A Space for Engagement" explores a three-tiered system of potential approaches and actions for academic libraries to foster engagement with their collections, and includes materials and tools to help guide individual libraries towards a data-driven approach to print curation that may be tailored to their local context.

Created2017-10
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Description

A needs assessment based on students in recovery to build a Collegiate Recovery Program.

ContributorsGueci, Nika (Author)
Created2016-05-01
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Description

Qualitative research on student employees of a Collegiate Recovery Program.

ContributorsGueci, Nika (Author)
Created2017-04-01
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Description

PPT lecture and notes for Recovery 101 training.

ContributorsGueci, Nika (Author)
Created2016-08-01
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Description

Video.

ContributorsGueci, Nika (Author)
Created2017-04-01
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Description

This paper describes how Arizona State University Library used creativity and novel approaches to collections design and implementation processes to select open stack print books for a newly renovated academic research library. Using results from a workshop focused on rethinking the future of print within educational learning and research environments,

This paper describes how Arizona State University Library used creativity and novel approaches to collections design and implementation processes to select open stack print books for a newly renovated academic research library. Using results from a workshop focused on rethinking the future of print within educational learning and research environments, the Collections Services and Analysis unit within Arizona State University Library performed a series of experiments to better understand the purpose and use of print collections within 21st century library design. The authors describe the creative processes used in collections design and three types of selection approaches that invited engagement with open stacks. These three types were: small browsing collections co-curated with community members, a medium-sized print collection selected for student engagement, and a large research collection selected using a novel data analysis of four factors affecting the likelihood of potential use. Using more than one million volumes as the basis for selection, approximately 185,000 volumes were installed in the renovated library through a complex implementation across four library locations. The authors discuss the key role that creativity played in the approaches, methods, and results of these efforts and offer recommendations for collection management teams seeking to maximize their pursuit of community engagement with print collections within contemporary academic library spaces.

ContributorsMcAllister, Lorrie (Author) / Laster, Shari (Author) / Dang, Tammy (Author) / Pattni, Emily (Author) / Arizona State University. Library (2017- ) (Issuing body) / Andrew W. Mellon Foundation (Contributor)
Created2024-06
Description
Glycosaminoglycans (GAGs) are a class of complex biomolecules comprised of linear, sulfated polysaccharides whose presence on cell surfaces and in the extracellular matrix involve them in many physiological phenomena as well as in interactions with pathogenic microbes. Decorin binding protein A (DBPA), a Borrelia surface lipoprotein involved in the infectivity

Glycosaminoglycans (GAGs) are a class of complex biomolecules comprised of linear, sulfated polysaccharides whose presence on cell surfaces and in the extracellular matrix involve them in many physiological phenomena as well as in interactions with pathogenic microbes. Decorin binding protein A (DBPA), a Borrelia surface lipoprotein involved in the infectivity of Lyme disease, is responsible for binding GAGs found on decorin, a small proteoglycan present in the extracellular matrix. Different DBPA strains have notable sequence heterogeneity that results in varying levels of GAG-binding affinity. In this dissertation, the structures and GAG-binding mechanisms for three strains of DBPA (B31 and N40 DBPAs from B. burgdorferi and PBr DBPA from B. garinii) are studied to determine why each strain has a different affinity for GAGs. These three strains have similar topologies consisting of five α-helices held together by a hydrophobic core as well as two long flexible segments: a linker between helices one and two and a C-terminal tail. This structural arrangement facilitates the formation of a basic pocket below the flexible linker which is the primary GAG-binding epitope. However, this GAG-binding site can be occluded by the flexible linker, which makes the linker a negative regulator of GAG-binding. ITC and NMR titrations provide KD values that show PBr DBPA binds GAGs with higher affinity than B31 and N40 DBPAs, while N40 binds with the lowest affinity of the three. Work in this thesis demonstrates that much of the discrepancies seen in GAG affinities of the three DBPAs can be explained by the amino acid composition and conformation of the linker. Mutagenesis studies show that B31 DBPA overcomes the pocket obstruction with the BXBB motif in its linker while PBr DBPA has a retracted linker that exposes the basic pocket as well as a secondary GAG-binding site. N40 DBPA, however, does not have any evolutionary modifications to its structure to enhance GAG binding which explains its lower affinity for GAGs. GMSA and ELISA assays, along with NMR PRE experiments, confirm that structural changes in the linker do affect GAG-binding and, as a result, the linker is responsible for regulating GAG affinity.
ContributorsMorgan, Ashli M (Author) / Wang, Xu (Thesis advisor) / Allen, James (Committee member) / Yarger, Jeffery (Committee member) / Arizona State University (Publisher)
Created2015
Description
Image segmentation is of great importance and value in many applications. In computer vision, image segmentation is the tool and process of locating objects and boundaries within images. The segmentation result may provide more meaningful image data. Generally, there are two fundamental image segmentation algorithms: discontinuity and similarity. The idea

Image segmentation is of great importance and value in many applications. In computer vision, image segmentation is the tool and process of locating objects and boundaries within images. The segmentation result may provide more meaningful image data. Generally, there are two fundamental image segmentation algorithms: discontinuity and similarity. The idea behind discontinuity is locating the abrupt changes in intensity of images, as are often seen in edges or boundaries. Similarity subdivides an image into regions that fit the pre-defined criteria. The algorithm utilized in this thesis is the second category.

This study addresses the problem of particle image segmentation by measuring the similarity between a sampled region and an adjacent region, based on Bhattacharyya distance and an image feature extraction technique that uses distribution of local binary patterns and pattern contrasts. A boundary smoothing process is developed to improve the accuracy of the segmentation. The novel particle image segmentation algorithm is tested using four different cases of particle image velocimetry (PIV) images. The obtained experimental results of segmentations provide partitioning of the objects within 10 percent error rate. Ground-truth segmentation data, which are manually segmented image from each case, are used to calculate the error rate of the segmentations.
ContributorsHan, Dongmin (Author) / Frakes, David (Thesis advisor) / Adrian, Ronald (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2015
Description
Nanoparticle suspensions, popularly termed “nanofluids,” have been extensively investigated for their thermal and radiative properties. Such work has generated great controversy, although it is arguably accepted today that the presence of nanoparticles rarely leads to useful enhancements in either thermal conductivity or convective heat transfer. On the other hand, there

Nanoparticle suspensions, popularly termed “nanofluids,” have been extensively investigated for their thermal and radiative properties. Such work has generated great controversy, although it is arguably accepted today that the presence of nanoparticles rarely leads to useful enhancements in either thermal conductivity or convective heat transfer. On the other hand, there are still examples of unanticipated enhancements to some properties, such as the reported specific heat of molten salt-based nanofluids and the critical heat flux. Another largely overlooked example is the apparent effect of nanoparticles on the effective latent heat of vaporization (hfg) of aqueous nanofluids. A previous study focused on molecular dynamics (MD) modeling supplemented with limited experimental data to suggest that hfg increases with increasing nanoparticle concentration.

Here, this research extends that exploratory work in an effort to determine if hfg of aqueous nanofluids can be manipulated, i.e., increased or decreased, by the addition of graphite or silver nanoparticles. Our results to date indicate that hfg can be substantially impacted, by up to ± 30% depending on the type of nanoparticle. Moreover, this dissertation reports further experiments with changing surface area based on volume fraction (0.005% to 2%) and various nanoparticle sizes to investigate the mechanisms for hfg modification in aqueous graphite and silver nanofluids. This research also investigates thermophysical properties, i.e., density and surface tension in aqueous nanofluids to support the experimental results of hfg based on the Clausius - Clapeyron equation. This theoretical investigation agrees well with the experimental results. Furthermore, this research investigates the hfg change of aqueous nanofluids with nanoscale studies in terms of melting of silver nanoparticles and hydrophobic interactions of graphite nanofluid. As a result, the entropy change due to those mechanisms could be a main cause of the changes of hfg in silver and graphite nanofluids.

Finally, applying the latent heat results of graphite and silver nanofluids to an actual solar thermal system to identify enhanced performance with a Rankine cycle is suggested to show that the tunable latent heat of vaporization in nanofluilds could be beneficial for real-world solar thermal applications with improved efficiency.
ContributorsLee, Soochan (Author) / Phelan, Patrick E (Thesis advisor) / Wu, Carole-Jean (Thesis advisor) / Wang, Robert (Committee member) / Wang, Liping (Committee member) / Taylor, Robert A. (Committee member) / Prasher, Ravi (Committee member) / Arizona State University (Publisher)
Created2015