2,813 research outputs found

    Environmental Philosophy: From Theory to Practice

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    Senior Project submitted to The Division of Social Studies of Bard College

    School experiences of immigrant and refugee students from Kurdistan: Implications for school-based professionals

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    The present study investigates the educational experiences of immigrants from Kurdistan, including any successes, difficulties, and adjustments to school in the United States. Information was collected from two informants, who reflected on their time in American schools. The study provides teachers, counselors, school psychologists, and other school personnel food for thought when working with specific populations of students. The goal of this study is not to provide a comprehensive look at experiences of Kurdish youth and young adults. Instead, this study shares the unique stories of participants and highlights a few common experiences that indicate potential barriers to equitable educational experiences of Kurdish students, and other immigrant students in general

    Bangor 1820 Map

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    1820 map of the City of Bangor from the 1882 publication, History of Penobscot County, Maine; with illustrations and biographical sketches. Map included number key identifying the location of businesses and residences.https://digitalcommons.library.umaine.edu/mainebicentennial/1124/thumbnail.jp

    THE EFFECT OF SHOE WEAR ON THE DROP STEP

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    Peak jump height and the efficiency of the closed kinetic chain in basketball can contribute to the success of an individual player or team (Dowling, Vamos, 1993). This performance can be altered as shoe structure is compromised, possibly leading to a decrease in performance. The purpose of this study was to determine if angular velocity at the knee and hip as well as jump height performance were compromised with shoe deterioration. In this study, 12 male members of an NCAA Division III basketball team performed a drop step movement with a vertical jump. Subjects were filmed with a digital video camera filming at 60 Hz and vertical force (Fz) data was recorded using a force plate. Knee angles increased significantly (&#945; < 0.05) over the eight weeks of testing. Additionally, total time and peak height decreased while vertical force at toe-off increased. Although total time for performing the drop step movement was decreased throughout the study, peak jump height was compromised with shoe deterioration

    Double-Stranded RNA-Dependent Protein Kinase (PKR) is Downregulated by Phorbol Ester

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    The double-stranded RNA-dependent protein kinase (PKR) is one of the key mediators of interferon (IFN) action against certain viruses. PKR also plays an important role in signal transduction and immunomodulation. Understanding the regulation of PKR activity is important for the use of PKR as a tool to discover and develop novel therapeutics for viral infections, cancer and immune dysfunction. We found that phorbol 12-myristate 13-acetate (PMA), a potent activator of protein kinase C (PKC), decreased the level of autophosphorylated PKR in a dose- and time-dependent manner in IFN-treated mouse fibroblast cells. Polyinosinic–polycytidylic acid (poly I:C) treatment enhanced the activity of PKR induced by IFN, but did not overcome the PMA-induced reduction of PKR autophosphorylation. Western blot analysis with a monoclonal antibody to mouse PKR revealed that the decrease of PKR autophosphorylation in cells by PMA was a result of PKR protein degradation. Selective PKC inhibitors blocked the degradation of PKR stimulated by PMA, indicating that PKC activity was required for the effect. Furthermore, we also found that proteasome inhibitors prevented PMA-induced down regulation of PKR, indicating that an active proteasome is required. Our results identify a novel mechanism for the post-translational regulation of PKR

    Double-Stranded RNA-Dependent Protein Kinase (PKR) is Downregulated by Phorbol Ester

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    The double-stranded RNA-dependent protein kinase (PKR) is one of the key mediators of interferon (IFN) action against certain viruses. PKR also plays an important role in signal transduction and immunomodulation. Understanding the regulation of PKR activity is important for the use of PKR as a tool to discover and develop novel therapeutics for viral infections, cancer and immune dysfunction. We found that phorbol 12-myristate 13-acetate (PMA), a potent activator of protein kinase C (PKC), decreased the level of autophosphorylated PKR in a dose- and time-dependent manner in IFN-treated mouse fibroblast cells. Polyinosinic–polycytidylic acid (poly I:C) treatment enhanced the activity of PKR induced by IFN, but did not overcome the PMA-induced reduction of PKR autophosphorylation. Western blot analysis with a monoclonal antibody to mouse PKR revealed that the decrease of PKR autophosphorylation in cells by PMA was a result of PKR protein degradation. Selective PKC inhibitors blocked the degradation of PKR stimulated by PMA, indicating that PKC activity was required for the effect. Furthermore, we also found that proteasome inhibitors prevented PMA-induced down regulation of PKR, indicating that an active proteasome is required. Our results identify a novel mechanism for the post-translational regulation of PKR

    Construction Market Boom?: How Has Boise’s Growth Affected the Industry & Economy

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    Boise is one of the fastest growing cities in the nation, and problems occurring from that include the need for housing and infrastructure creating an imbalance in the construction industry. Our research will be investigating the construction labor market growth and its relation to workers’ wages in the area as well as its correlation to the cost of housing. We will identify the main source of labor for the construction industry, as well as the factors that go into changes in wage and advances in construction techniques. We will be researching how these construction techniques and changes in labor source have affected the competition in the labor market. Data will be collected through the Idaho department of labor, as well as other comparable cities to identify discrepancies in wage. Our research objective is to present a comparative analysis of the local construction market of Boise and other similarly sized cities in the last five years. We also expect to see a strong correlation between competition in the industry, labor wages, and the growth of the construction industry

    Association between herd management practices and antimicrobial resistance in Salmonella spp. from cull dairy cattle in Central California.

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    BackgroundIn this study cull dairy cows from six California dairy herds were sampled seasonally over the course of a year. The objectives were to determine the prevalence of antimicrobial resistant (AMR) Salmonella spp. shed in cull cow feces, and the factors associated with fecal shedding of AMR and multidrug resistant (MDR) Salmonella.MethodsSix dairy farms located in the San Joaquin Valley of California were identified and enrolled as a convenience sample. On each dairy, and once during each of the four seasons, 10 cull cows were randomly selected for fecal sampling on the day of their removal from the herd. In addition, study personnel completed a survey based on responses of the herd manager to questions related to the previous 4 month's herd management and the specific cattle sampled. Fecal samples were submitted to the California Animal Health and Food Safety laboratory for Salmonella isolation. Antimicrobial resistance was evaluated using broth microdilution method and a gram-negative assay plate following Clinical Laboratory Standards Institute (CLSI) guidelines and breakpoint references. All statistical models were survey adjusted for number of animals on sampling day.ResultsA total of 62 Salmonella were isolated from 60 of the 239 fecal samples collected. For 12% (95% confidence interval (CI) [3-20]) of fecal samples a multidrug resistant Salmonella was isolated. The survey-weighted results for the two most common drug classes for which isolates were resistant were tetracycline (39%; 95% CI [27-51]) and ampicillin (18%; 95% CI [9-27]). An important finding was the identification of cephalosporin as the third most common drug class for which isolates were resistant, with ceftriaxone (10%; 95% CI [2-17]) being the most common drug associated with resistance in that class. At the cow-level, reason for culling, prior treatment with antimicrobial drugs as the reason for culling was associated with higher odds of isolating an AMR Salmonella isolate. At the herd-level, percent of animals monthly culled on the farm as well as number of milking cows in the herd were associated with isolation of antimicrobial resistant Salmonella in cull cows.DiscussionSalmonella isolated from fecal samples from cull cows were resistant to important antimicrobials, such as ceftriaxone. The most common drug classes for which isolates were resistant were tetracyclines and beta-lactams, with ampicillin, ceftriaxone and ceftiofur being the three most common drugs within the latter. Cow and herd level factors were associated with isolating antimicrobial resistant Salmonella that should be further investigated for their potential role in promoting occurrence of AMR Salmonella. Our results also highlight the importance of monitoring dairy cattle sent to slaughter for shedding of Salmonella resistant to medically important antimicrobial drugs

    Elevated carbon dioxide alters neural signaling and anti-predator behaviors in ocean phase coho salmon (Oncorhynchus kisutch)

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    Elevated levels of CO2 have been shown to disrupt numerous neurological sensory systems in marine fish. This is of concern as Pacific salmon rely heavily on an important neurosensory system for survival, the olfactory system. In this study, we investigated the effects of elevated CO2 on a salmon olfactory driven behavior, as well as changes in neural signaling and gene expression within the peripheral and central olfactory system. Juvenile coho salmon were exposed to three different levels of CO2 for two weeks. These included a current CO2 level with a pH of 7.8, a medium CO2 level with a pH of 7.5, and a high CO2 level with a pH of 7.2. Our study found that juvenile coho salmon exposed to increasing levels of CO2 ceased avoiding an alarm odor compared to the controls. Furthermore, exposure to the high level of CO2 did not alter odorant induced signaling in the olfactory rosettes but did induce significant changes in signaling within the olfactory bulbs. RNA-seq analysis revealed significant changes in expression of genes involved in neuronal signaling and signal modulation within the olfactory bulbs from coho exposed to the high CO2 level compared to control coho. Our results indicate that coho salmon exposed to elevated CO2 can experience significant behavioral impairments that are potentially driven by alteration in higher-order neural signal processing within the olfactory bulbs. Supported by Washington Sea Grant, the Washington Ocean Acidification Center, and NIEHS Superfund ES-004696

    How many cows do I need? Sample size calculations for testing co-infection using existing study data

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    Background There is little empirical research on the co-infection of Fasciola hepatica and Escherichia coli O157 in cattle. E. coli is controlled in the gut by a Type 1 immune response, whereas F. hepatica is known to suppress these immune responses and induce an anti-inflammatory environment in the host. We evaluate the statistical feasibility of re-testing isolates from a planned UK Food Standards Agency study on E. coli prevalence for F. hepatica presence, in order to establish whether there is an association. Methods We simulate synthetic datasets representing the proposed FSA sampling strategy. Sample sizes within farms and F. hepatica infections are simulated using Beta-Binomial distributions. E. coli infections are simulated using a logistic random-intercepts model under an alternative hypothesis that the odds ratio of E. coli presence is double when F. hepatica is present, with farm- and isolate-level prevalence rates constrained to current estimates. Statistical power is calculated by fitting models to each of the simulated datasets assuming a type I error rate of 5%. Owing to the E. coli status being known in advance of the F. hepatica test, we restrict the sampling strategy to only test farms with >0% an
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