Matching Items (346)
ContributorsRussell, Timothy Wells (Conductor) / Harrison, Jacob (Conductor) / Saint, Alyssa (Performer) / Buck, Elizabeth (Performer) / Sinfonietta (Performer) / Chamber Orchestra (Performer) / University Symphony Orchestra (Performer) / ASU Library. Music Library (Publisher)
Created2008-11-16
ContributorsMills, Robert (Performer) / Brecheen, Daveda (Performer) / Hutson, Robbie (Performer) / Buck, Elizabeth (Performer) / ASU Library. Music Library (Publisher)
Created2004-12-02
ContributorsBuck, Elizabeth (Performer) / De Maris, Amanda (Performer) / Mancuso, Simone (Performer) / ASU Library. Music Library (Publisher)
Created2019-09-07
Description
Post-mortem interval (PMI) estimation is a crucial piece of information to be established to be established in any death investigation. Though a variety of methods to estimate PMI exists, not all of them are always able to work. Forensic microbiology is attempting to help bridge this gap by developing methods to predict PMI with microbial communities. The change in the microbiome present on a body after death is a predictable patter that can be used almost like a clock. Existing studies thus far have shown a consistent pattern of what the composition of the microbiome on a body is during key stages of decomposition. However, research has yet to be conducted on whether these patterns persist in an arid climate, such as the desert, or during decomposition within a sealed container. Here, we aimed to begin filling this knowledge gap by observing the microbiomes present on pigs decomposing inside of buckets in the Arizona climate. Bacteroidetes, Firmicutes and Proteobacteria were the most abundant phyla detected with Firmicutes primarily being found on the skin. Firmicutes abundance decreased about half-way through decomposition. Xanthomonadaceae appeared part way through decomposition and Clostridiaceae was detected in all sequenced samples. Though the initial results match the trends established in previous research, further testing is required to determine if this result is reproducible and reliable.
ContributorsMiller, Amber (Author) / Parrott, Jonathan (Thesis director) / Marshall, Pamela (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2024-05
Description
This thesis proposes and explores an adapted approach to music recommendation and
event promotion, aimed at providing streaming users more accessibility to local artists,
performers, and events. By focusing specifically on the enrichment of local music ecosystems,
this research is undertaken with the express interest of local music artists, venues, and
streamers in mind. It seeks to serve a multifaceted goal: revitalizing local music scenes by
making them more visible and accessible through streaming platforms; empowering local music artists by providing them with a broader audience and new opportunities for engagement; reconnecting artists with the community, thereby fostering a stronger sense of local identity and cultural cohesion; and providing economic benefit to local venues through increased attendance and engagement. In essence, this thesis intends to harness the power of streaming platforms to rekindle the localized relationships between listeners, artists, and venues, thereby contributing to the renaissance, sustainability, and vibrancy of local music cultures. These outcomes will be achieved through a two-pronged theoretical and practical approach, incorporating Proof of Concept (PoC) algorithm with the Business Model Canvas
(BMC). A Proof of Concept recommendation algorithm was developed as a tool to empirically demonstrate the viability of the proposed strategies. This prototype music recommendation
algorithm was designed and tested with the explicit goal of creating a novel music recommendation algorithm that biased users towards exposure of smaller local artists and
events.
ContributorsBradley, Robert (Author) / Clarkin, Michael (Co-author) / Ellini, Andre (Co-author) / Mancenido, Michelle (Thesis director) / Sirugudi, Kumar (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2024-05
Description
In an international field study, this project identified two primary objectives. The first was to familiarize the researcher with the environment, methods, and techniques used in the Costa Rica wildlife projects of ProCAT. After successful mastery of the first, the second objective was to use that knowledge to gather preliminary acoustic data in the southern region of Costa Rica. The data was analyzed for call type to identify species represented on the recordings. This information can be used to establish a 2024 baseline for avian diversity in these regions. An established baseline of biodiversity at a fixed timepoint enables effective and quantitative measures of change over time for future research and conservation.
ContributorsWalters, Jenna (Author) / Schipper, Jan (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2024-05