4,187 research outputs found

    Vol. 36, No. 4

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    Which ULP is It?: An Examination of Retaliation under Sections 10(a)(1) and 10(a)(2) of the Illinois Public Relations Act by Helen J. Kim Recent Developmentshttps://scholarship.kentlaw.iit.edu/iperr/1111/thumbnail.jp

    Increasing Obesity in Treated Female HIV Patients from Sub-Saharan Africa: Potential Causes and Possible Targets for Intervention.

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    Objectives: To investigate changing nutritional demographics of treated HIV-1-infected patients and explore causes of obesity, particularly in women of African origin. Methods: We prospectively reviewed nutritional demographics of clinic attenders at an urban European HIV clinic during four one-month periods at three-yearly intervals (2001, 2004, 2007, and 2010) and in two consecutive whole-year reviews (2010-2011 and 2011-2012). Risk-factors for obesity were assessed by multiple linear regression. A sub-study of 50 HIV-positive African female patients investigated body-size/shape perception using numerical, verbal, and pictorial cues. Results: We found a dramatic rise in the prevalence of obesity (BMI > 30 kg/m(2)), from 8.5 (2001) to 28% (2011-2012) for all clinic attenders, of whom 86% were on antiretroviral treatment. Women of African origin were most affected, 49% being obese, with a further 32% overweight (BMI 25-30 kg/m(2)) in 2012. Clinical factors strongly associated with obesity included female gender, black African ethnicity, non-smoking, age, and CD4 count (all P < 0.001); greater duration of cART did not predict obesity. Individual weight-time trends mostly showed slow long-term progressive weight gain. Investigating body-weight perception, we found that weight and adiposity were underestimated by obese subjects, who showed a greater disparity between perceived and actual adiposity (P < 0.001). Obese subjects targeted more obese target "ideal" body shapes (P < 0.01), but were less satisfied with their body shape overall (P = 0.02). Conclusion: Seropositive African women on antiretroviral treatment are at heightened risk of obesity. Although multifactorial, body-weight perception represents a potential target for intervention

    Modifying the amino acid sequence in the surface-exposed loops of the omptin family of proteins to determine their effect on function

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    The omptin family of proteins consists of proteases which lie in the outer membrane of some gram-negative, pathogenic bacteria such as Escherichia coli (OmpT), Shigella flexneri (IcsP), Salmonella typhimurium (PgtE), and Yersinia pestis (Pla). These proteases are highly conserved, sharing approximately 50% sequence identity and a β-barrel shape (fig. 1D). The differences in the structure of these four proteins are in the surface-exposed loop region surrounding the active site, but not in the active site itself [4]. These proteases are important for the virulence of many bacteria. For example, OmpT of E. coli cleaves an antimicrobial peptide secreted by epithelial cells of the urinary tract [5]; IcsP of S. flexneri regulates IcsA, which uses the host’s actin to allow motility of the bacterium [6]; PgtE of S. typhimurium helps the bacterium evade the immune system by cleaving the α-helical cationic antimicrobial peptides [1]; and, Pla of Y. pestis enhances bacterial migration through tissue barriers by cleaving plasminogen [4]. Previous work [2] has shown that the omptin proteins of E. coli and S. typhimurium do not cleave IcsA in the same manner as IcsP in S. flexneri. Differences in the cleavage of IcsA may be due to the differences in surface-exposed loops of the protease or in its LPS binding motif [2]. Determining whether the surface-exposed loops of a protein affects its function could lead to a better understanding of this protein’s function and how it has evolved to serve different functions in different bacterial pathogens

    Role of many-body entanglement in decoherence processes

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    A pure state decoheres into a mixed state as it entangles with an environment. When an entangled two-mode system is embedded in a thermal environment, however, each mode may not be entangled with its environment by their simple linear interaction. We consider an exactly solvable model to study the dynamics of a total system, which is composed of an entangled two-mode system and a thermal environment, and also an array of infinite beam splitters. It is shown that many-body entanglement of the system and the environment plays a crucial role in the process of disentangling the system.Comment: 4 pages, 1 figur

    Observed impacts of COVID-19 on urban CO₂ emissions

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    Governments restricted mobility and effectively shuttered much of the global economy in response to the COVID‐19 pandemic. Six San Francisco Bay Area counties were the first region in the United States to issue a “shelter‐in‐place” order asking non‐essential workers to stay home. Here we use CO₂ observations from 35 Berkeley Environment, Air‐quality and CO₂ Network (BEACO₂N) nodes and an atmospheric transport model to quantify changes in urban CO₂ emissions due to the order. We infer hourly emissions at 900‐m spatial resolution for 6 weeks before and 6 weeks during the order. We observe a 30% decrease in anthropogenic CO₂ emissions during the order and show that this decrease is primarily due to changes in traffic (–48%) with pronounced changes to daily and weekly cycles; non‐traffic emissions show small changes (–8%). These findings provide a glimpse into a future with reduced CO₂ emissions through electrification of vehicles

    Observed impacts of COVID-19 on urban CO₂ emissions

    Get PDF
    Governments restricted mobility and effectively shuttered much of the global economy in response to the COVID‐19 pandemic. Six San Francisco Bay Area counties were the first region in the United States to issue a “shelter‐in‐place” order asking non‐essential workers to stay home. Here we use CO₂ observations from 35 Berkeley Environment, Air‐quality and CO₂ Network (BEACO₂N) nodes and an atmospheric transport model to quantify changes in urban CO₂ emissions due to the order. We infer hourly emissions at 900‐m spatial resolution for 6 weeks before and 6 weeks during the order. We observe a 30% decrease in anthropogenic CO₂ emissions during the order and show that this decrease is primarily due to changes in traffic (–48%) with pronounced changes to daily and weekly cycles; non‐traffic emissions show small changes (–8%). These findings provide a glimpse into a future with reduced CO₂ emissions through electrification of vehicles
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