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Orem, UT, United States

Utah Valley University, or UVU, is a publicly funded university located in Orem, Utah, United States with a 2011 enrollment of 33,395 students. Utah Valley University is the largest public university in the State of Utah. The university offers approximately 58 bachelor degrees, 66 associate degrees, 21 certificate/diploma programs, and 3 high-demand master degrees in education, business, and nursing.The university’s Wasatch Campus in Heber City, Utah, also offers bachelor degrees in business management and secondary education, as well as associate degrees in accounting, behavioral science, business management, elementary education, and general education.Previously called Utah Valley State College , the school attained university status in July 2008, changing to Utah Valley University. Matthew S. Holland, appointed as the first president of UVU, officially began his duties on June 1, 2009. Wikipedia.

Fairbanks D.J.,Utah Valley University
G3 (Bethesda, Md.) | Year: 2012

NANOGP8 is a human (Homo sapiens) retrogene, expressed predominantly in cancer cells where its protein product is tumorigenic. It arose through retrotransposition from its parent gene, NANOG, which is expressed predominantly in embryonic stem cells. Based on identification of fixed and polymorphic variants in a genetically diverse set of human NANOG and NANOGP8 sequences, we estimated the evolutionary origin of NANOGP8 at approximately 0.9 to 2.5 million years ago, more recent than previously estimated. We also discovered that NANOGP8 arose from a derived variant allele of NANOG containing a 22-nucleotide pair deletion in the 3' UTR, which has remained polymorphic in modern humans. Evidence from our experiments indicates that NANOGP8 is fixed in modern humans even though its parent allele is polymorphic. The presence of NANOGP8-specific sequences in Neanderthal reads provided definitive evidence that NANOGP8 is also present in the Neanderthal genome. Some variants between the reference sequences of NANOG and NANOGP8 utilized in cancer research to distinguish RT-PCR products are polymorphic within NANOG or NANOGP8 and thus are not universally reliable as distinguishing features. NANOGP8 was inserted in reverse orientation into the LTR region of an SVA retroelement that arose in a human-chimpanzee-gorilla common ancestor after divergence of the orangutan ancestral lineage. Transcription factor binding sites within and beyond this LTR may promote expression of NANOGP8 in cancer cells, although current evidence is inferential. The fact that NANOGP8 is a human-specific retro-oncogene may partially explain the higher genetic predisposition for cancer in humans compared with other primates. Source

Caliskan C.,Utah Valley University
Computers and Operations Research | Year: 2012

The capacity scaling algorithm for the maximum flow problem runs in O(nmlogU) time where n is the number of nodes, m is the number of arcs, and U is the largest arc capacity in the network. The two-phase capacity scaling algorithm reduces this bound to O(nmlog(U/n)). This running time is achieved with the restriction that flows are pushed on individual arcs while paths are being identified, but this causes slower empirical run times compared to the single-phase capacity scaling algorithm. In this research, we prove that the two-phase algorithm runs in the same theoretical time without the mentioned restriction. We also show that in practice, it runs significantly faster than the single-phase capacity scaling algorithm. © 2012 Elsevier Ltd. All rights reserved. Source

Caliskan C.,Utah Valley University
Computers and Operations Research | Year: 2012

The constrained maximum flow problem is a variant of the classical maximum flow problem in which the flow from a source node to a sink node is maximized in a directed capacitated network with arc costs subject to the constraint that the total cost of flow should be within a budget. It is important to study this problem because it has important applications, such as in logistics, telecommunications and computer networks; and because it is related to variants of classical problems such as the constrained shortest path problem, constrained transportation problem, or constrained assignment problem, all of which have important applications as well. In this research, we present an O( n2mlog(nC)) time cost scaling algorithm and compare its empirical performance against the two existing polynomial combinatorial algorithms for the problem: the capacity scaling and the double scaling algorithms. We show that the cost scaling algorithm is on average 25 times faster than the double scaling algorithm, and 32 times faster than the capacity scaling algorithm. © 2012 Elsevier Ltd. All rights reserved. Source

Brown M.V.,Utah Valley University
American Journal of Hospice and Palliative Medicine | Year: 2011

The purpose of this phenomenological study was to explore the interpretation of stress, the appraisal of the stressors, as well as the top stressors experienced by hospice volunteers. Individual semistructured interviews were conducted with 15 hospice volunteers. The interviews were digitally recorded, transcribed, and analyzed, using qualitative research methods. Although the results indicated that the hospice volunteers did not perceive their work as stressful, 2 main themes regarding challenging experiences did emerge. Hospice-related issues and personal issues were of concern to the volunteers. In addition, the timing of the stressors revealed that the most stress was felt at the beginning of their volunteer services, which has implications for hospice volunteer coordinators as they support their volunteers in the field. © The Author(s) 2011. Source

Agency: NSF | Branch: Standard Grant | Program: | Phase: Systematics & Biodiversity Sci | Award Amount: 162.50K | Year: 2015

Mayflies represent more than 3000 species that occupy freshwater habitats on all continents except Antarctica and are an integral part of aquatic ecosystems, including serving as a major component of the diet of freshwater fish. Despite the roles they play in aquatic systems, and their popularity as a lure for fishing, many important biological aspects of this insect group remain unanswered. It is not known how the different branches on the mayfly tree of life fit together, and therefore the implications of their phylogenetic history are unclear. For example, it is uncertain if the first mayflies had movable or immobile gills running along their backs. Deciphering these patterns could provide insights into the evolution of insect wings and whether they came from ancient movable gill-like structures or not. This project will improve our knowledge of this important insect group by creating a diverse collection of species located around the world, from different aquatic habitats and environments. The morphology and genomics of these insects will be studied in greater detail than before, to understand their evolutionary history and adaptations. Outcomes of this project will further research in stream ecology, and water pollution, as mayflies are a key indicator of the health of aquatic environment.

The lack of a robust mayfly phylogeny has limited the ability of researchers to test hypotheses concerning evolutionary adaptations. This project will enhance the understanding of mayfly phylogeny and evolution using novel and transformative methods to elucidate relationships and morphological during the history of the group. This project will reconstruct a robust mayfly phylogeny, using next generation sequencing methods and phylogenomic analyses, to better understand morphological and genetic trends within mayflies and gain insights regarding evolutionary adaptations. This project will provide excellent research opportunities for undergraduate students to engage in meaningful scholarly and creative activities. This will be accomplished by carrying out smaller research projects on a subset of mayfly taxa (e.g., a family or superfamily), which will ultimately contribute to the comprehensive phylogeny for the order. Students will be mentored in all phases of phylogenetic research, from collecting, generating data, analyzing data, and communicating results at scientific meetings, in publications, and in outreach efforts to the community. Thus, the main outcomes of the project will be: 1) increase in knowledge of mayfly evolution and phylogenetics; 2) opportunities for undergraduate evolutionary research; 3) development of state-of-the-art curriculum for the primarily undergraduate institution Utah Valley University; 4) partnerships with local public schools; 5) establishment of a strong international collaborative network in mayfly research; including coordinating efforts to contribute to efforts such as the online database Encyclopedia of Life, which provides species-level information to serve the scientific community, educators, and the general public; and 6) significant positive impact on the institution and the researchers career.

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