IRANO-AMERICAN MILITARY AND POLITICAL RELATIONS DURING THE 1970S.
AuthorWolfgang, Karl Fredrick.
KeywordsIran -- Relations -- United States.
United States -- Relations -- Iran.
Iran -- Military relations -- United States.
United States -- Military relations -- Iran.
MetadataShow full item record
PublisherThe University of Arizona.
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Degree ProgramGraduate College
Degree GrantorUniversity of Arizona
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An analysis of sociodemographic and health-related variables related to occurrence and treatment outcome in Mexican American and non-Hispanic white clients diagnosed with alcohol-related disordersReed, Pamela; Garduño, Rosemarie; Glittenberg, Jody; Colbert, Lucy (The University of Arizona., 1995)This study analyzed sociodemographic and health-related variables related to occurrence and treatment outcome in Mexican American and non-Hispanic white clients diagnosed with alcohol-related disorders. A sample of 551 clients diagnosed with alcohol abuse and dependence in a community treatment center were analyzed in the context of three research questions. Demographic and treatment outcome comparisons were made between two prominent ethnic groups--Mexican Americans and non-Hispanic whites. A demographic and health risk profile was derived utilizing standard statistical methods. The findings of the study suggest that Mexican Americans differ from non-Hispanic whites in various demographic characteristics and treatment outcome variables. However, considerable cross-cultural complexity exists such that more refined comparisons are essential in order to derive meaningful program design and clinical treatment strategies.
Accurate genome relative abundance estimation for closely related species in a metagenomic sampleSohn, Michael; An, Lingling; Pookhao, Naruekamol; Li, Qike; Interdisciplinary Program in Statistics, University of Arizona, Tucson AZ 85721, USA; Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson AZ 85721, USA (BioMed Central, 2014)BACKGROUND:Metagenomics has a great potential to discover previously unattainable information about microbial communities. An important prerequisite for such discoveries is to accurately estimate the composition of microbial communities. Most of prevalent homology-based approaches utilize solely the results of an alignment tool such as BLAST, limiting their estimation accuracy to high ranks of the taxonomy tree.RESULTS:We developed a new homology-based approach called Taxonomic Analysis by Elimination and Correction (TAEC), which utilizes the similarity in the genomic sequence in addition to the result of an alignment tool. The proposed method is comprehensively tested on various simulated benchmark datasets of diverse complexity of microbial structure. Compared with other available methods designed for estimating taxonomic composition at a relatively low taxonomic rank, TAEC demonstrates greater accuracy in quantification of genomes in a given microbial sample. We also applied TAEC on two real metagenomic datasets, oral cavity dataset and Crohn's disease dataset. Our results, while agreeing with previous findings at higher ranks of the taxonomy tree, provide accurate estimation of taxonomic compositions at the species/strain level, narrowing down which species/strains need more attention in the study of oral cavity and the Crohn's disease.CONCLUSIONS:By taking account of the similarity in the genomic sequence TAEC outperforms other available tools in estimating taxonomic composition at a very low rank, especially when closely related species/strains exist in a metagenomic sample.