40 research outputs found

    An Ontological Approach to Misinformation: Quickly Finding Relevant Information

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    Identifying misinformation (i.e. rumors) is a growing field of research in the information systems field. This is due to the fact that during recent tragedies (i.e. Boston Bombings, Ebola, etcetera), rumors spread rapidly on social media platforms, which will hide the facts about an event. This results in rumors being spread even more, further hiding the events. In this study, we draw from research from the semantic web to tackle this problem. We propose the use of ontologies and related concepts can help find accurate information for a case quickly and accurately. Combined with a weighting formula, we will be able to display the most relevant results to an interested party. In this research in progress, we outline our plan on how to accomplish this once an ontology and dataset is found

    Metals and persistent organic pollutants as ecological determinants of human health in Naivasha, Kenya

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    The main industries in Naivasha are floriculture and geothermal energy, with both industries beginning in the 1980s. Increased employment caused a 20-fold increase in population over 3 decades. These changes have the potential to increase the release of environmental contaminants, such as metals and persistent organic pollutants (POPs). This study uses an ecosystem health approach to study the distribution and health risks associated with metals in airborne dust and POPs and metals in Cyprinus carpio dorsal muscle, in Naivasha, Kenya. Findings suggest that Ni in airborne dust may be derived from natural catchment substrate, but still exists at concentrations above World Health Organization guidelines. Of the POPs and metals quantified in Cyprinus carpio, only dieldrin and Hg exceeded the U.S. Environmental Protection Agency guidelines for unlimited fish consumption. Concentrations of Hg and dieldrin are still low enough for safe fish consumption 16 times/month and more than 3 times/month, respectively

    An Exploratory Analysis in Android Malware Trends

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    As smartphones become increasingly integral to our daily lives, so too is the prevalence of malware for smartphones. This is because while mobile phones used to only function as portable phones, today\u27s mobile phones are now miniature computers. This means that risks that used to only be for computers are now risks for our smartphones as well. As a result, a research stream dedicated to understanding whats unique about smartphone malware has emerged. In this study, we analyze malware characteristics from a non-technical view, unlike previous studies. Previous studies analyze the actual code and execution of malware, while we take advantage of anti-virus companies analysis of malware already conducted, and instead analyze these analyses. We do this to discover trends that are emerging in smartphone malware, such that anti-virus companies can give these trends greater priority to researching and discovering these malware

    Protective Immunity against Infection with <i>Mycoplasma haemofelis</i>

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    Hemoplasmas are potentially zoonotic mycoplasmal pathogens, which are not consistently cleared by antibiotic therapy. Mycoplasma haemofelis is the most pathogenic feline hemoplasma species. The aim of this study was to determine how cats previously infected with M. haemofelis that had recovered reacted when rechallenged with M. haemofelis and to characterize the immune response following de novo M. haemofelis infection and rechallenge. Five specific-pathogen-free (SPF)-derived naive cats (group A) and five cats that had recovered from M. haemofelis infection (group B) were inoculated subcutaneously with M. haemofelis. Blood M. haemofelis loads were measured by quantitative PCR (qPCR), antibody response to heat shock protein 70 (DnaK) by enzyme-linked immunosorbent assay (ELISA), blood lymphocyte cell subtypes by flow cytometry, and cytokine mRNA levels by quantitative reverse transcriptase PCR. Group A cats all became infected with high bacterial loads and seroconverted, while group B cats were protected from reinfection, thus providing the unique opportunity to study the immunological parameters associated with this protective immune response against M. haemofelis. First, a strong humoral response to DnaK was only observed in group A, demonstrating that an antibody response to DnaK is not important for protective immunity. Second, proinflammatory cytokine interleukin-6 (IL-6) mRNA levels appeared to increase rapidly postinoculation in group B, indicating a possible role in protective immunity. Third, an increase in IL-12p35 and -p40 mRNA and decrease in the Th2/Th1 ratio observed in group A suggest that a Th1-type response is important in primary infection. This is the first study to demonstrate protective immunity against M. haemofelis reinfection, and it provides important information for potential future hemoplasma vaccine design

    Prevalence and phylogenetic analysis of haemoplasmas from cats infected with multiple species

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    AbstractMycoplasma haemofelis (Mhf), ‘Candidatus Mycoplasma haemominutum’ (CMhm) and ‘Candidatus Mycoplasma turicensis’ (CMt) are agents of feline haemoplasmosis and can induce anaemia in cats. This study aimed to determine the prevalence and phylogeny of haemoplasma species in cats from Brazil's capital and surrounding areas, and whether correlation with haematological abnormalities existed. Feline haemoplasmas were found in 13.8% of 432 cats. CMhm was the most prevalent species (in 13.8% of cats), followed by Mhf (11.1%) and CMt (4.4%). Over 80% of haemoplasma-infected cats harboured two or more feline haemoplasma species: 7.1% of cats were co-infected with Mhf/CMhm, 0.4% with CMhm/CMt and 3.9% with Mhf/CMhm/CMt. Male gender was significantly associated with haemoplasma infections. No association was found between qPCR haemoplasma status and haematological variables, however CMhm relative copy numbers were correlated with red blood cell (RBC) numbers and packed cell volume (PCV). Haemoplasma 16S rRNA gene sequences (>1Kb) were derived from co-infected cats using novel haemoplasma species-specific primers. This allowed 16S rRNA gene sequences to be obtained despite the high level of co-infection, which precluded the use of universal 16S rRNA gene primers. Within each species, the Mhf, CMhm and CMt sequences showed >99.8%, >98.5% and >98.8% identity, respectively. The Mhf, CMhm and CMt sequences showed >99.2%, >98.4% and >97.8% identity, respectively, with GenBank sequences. Phylogenetic analysis showed all Mhf sequences to reside in a single clade, whereas the CMhm and CMt sequences each grouped into three distinct subclades. These phylogeny findings suggest the existence of different CMhm and CMt strains

    Got a Minute? Instruction Tune-Up for Time Pressed Librarians

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    This book contains 19 essays that have been written by current LIS Students who were enrolled in the LIS4330: Library Instruction class at the University of Denver, 2016. Designed to provide a short and pithy overview of a topic that is related to instruction, education, or information literacy, each essays aims to be accessible and approachable for time-pressed librarians who may not have time to catch up

    Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

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    We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57
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