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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

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for a target region, which could be transformed into a heat exposure model by means of simulation and spatial-temporal joining. By combining and implementing the most robust software and data available, Icarus was able to capture person-based exposure with unparalleled detail. Here we describe the model methodology. We use the metropolitan region of Phoenix, Arizona, USA to carry out a case study using Icarus.

ContributorsLi, Rui (Author) / Brownlee, Ben (Author) / Chester, Mikhail Vin (Author) / Hondula, David M. (Author) / Middel, Ariane (Author) / Michne, Austin (Author) / Watkins, Lance (Author)
Description
Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems,

Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems, transportation systems, agriculture, biomimicry, and heat mitigation.
ContributorsBhandari, Viraj (Contributor) / Mirtich, Laura Christine (Contributor) / Smith, Keegan (Contributor) / AlMarzouqi, Shaymaa (Contributor) / Avaula, Munieswar Reddy (Contributor) / Britton, Britnie (Contributor) / Changela, Meet Haresh (Contributor) / Subramanian, Praveen Raj Kumar (Contributor) / Tatiparthi, Jaya Dinesh Reddy (Contributor) / Pramod, Luke (Contributor) / Guglielmi, Giovanni (Contributor) / Myers, Andrew (Contributor) / Bonham, Emma Eileen (Contributor) / Majety, Naga Venkata Krishna Anjani Kumar (Contributor) / Sripathi, Siva Sai Praneeth (Contributor) / Schoneberger, Channing (Contributor) / Chester, Mikhail Vin (Contributor)
Created2022-06-01
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Description
A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and

A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and the inclusion of flexibility in handling different demand estimates. The model advancements were designed around true data for San Juan and Mayaguez (Puerto Rico), but are generalizable to other regions.
ContributorsSearles, Ian (Contributor) / Jain, Rajan (Contributor) / Chester, Mikhail Vin (Contributor)
Created2024-07-24
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Description
The Fall 2023 Transportation Systems Planning class at Arizona State University analyzed a suite of ADOT plans and reports against the SDGs, assessing where these plans aided in achieving or harmed progress towards these goals. From this analysis, the class proposed recommendations to improve ADOT alignment with the SDGs. The

The Fall 2023 Transportation Systems Planning class at Arizona State University analyzed a suite of ADOT plans and reports against the SDGs, assessing where these plans aided in achieving or harmed progress towards these goals. From this analysis, the class proposed recommendations to improve ADOT alignment with the SDGs. The findings and recommendations have been organized in this report.
ContributorsPorto, Mattheus (Editor) / Searles, Ian (Editor) / Wolfinbarger, Robert (Editor) / Apeji, Samuel (Author) / Arthur, Cole (Author) / Aviles, Hirvin (Author) / Banzon, Lana (Author) / Bhagia, Manav Sandeep (Author) / Catanese, Joseph (Author) / Corral, Oscar (Author) / Doyle, Carter (Author) / Duquella, Frederic (Author) / Gallerani, Cecilia (Author) / Gaspar, Maria (Author) / Gomez, Angela (Author) / Hall, Adam (Author) / Hamdan, Amir (Author) / Hermann, Aleksander (Author) / Hunyada, Tyler (Author) / Italo, Marcus (Author) / Jasarevic, Elma (Author) / Jimenez, Mikayla (Author) / Jones, Shepherd (Author) / Lafont, Eliott (Author) / Liu, Brennan (Author) / Mendez Aceves, Carlos (Author) / Nguyen, Sophie (Author) / Nwe, Theint (Author) / Tun Oo, Si Thu (Author) / Varela, Xenia Perez (Author) / Ray, Zachary (Author) / Reames, Isaac (Author) / Rodriguez Ocana, Miguel (Author) / Tang, Fang (Author) / Chester, Mikhail Vin (Author)
Created2024-03-07
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