85 research outputs found

    Energy Concern in China's Policy-Making Calculatios:From Self-reliance, Market-dependence to Green Energy

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    Globalization and the Next Economy:A Theoretical and Critical review

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    Circular Economy: The Strategies to Global Business Economics

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    Economics needs to change from being a linear theory into being circular because of the need to be more scientific due to the use of both quantitative and qualitative, which reflects science in theory and practice. The application of circular economics to businesses, both in existing and new entrepreneurship, provides a construct way to address, change and reverse climate problems

    The relationship between language production and verbal short-term memory: The role of stress grouping

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    This study investigates the influence of stress grouping on verbal short-term memory (STM). English speakers show a preference to combine syllables into trochaic groups, both lexically and in continuous speech. In two serial recall experiments, auditory lists of nonsense syllables were presented with either trochaic (STRONG-weak) or iambic (weak-STRONG) stress patterns, or in monotone. The acoustic correlates that carry stress were also manipulated in order to examine the relationship between input and output processes during recall. In Experiment 1, stressed and unstressed syllables differed in intensity and pitch but were matched for spoken duration. Significantly more syllables were recalled in the trochaic stress pattern condition than in the iambic and monotone conditions, which did not differ. In Experiment 2, spoken duration and pitch were manipulated but intensity was held constant. No effects of stress grouping were observed, suggesting that intensity is a critical acoustic factor for trochaic grouping. Acoustic analyses demonstrated that speech output was not identical to the auditory input, but that participants generated correct stress patterns by manipulating acoustic correlates in the same way in both experiments. These data challenge the idea of a language-independent STM store and support the notion of separable phonological input and output processes

    Synthetic Nanoparticles for Vaccines and Immunotherapy

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    The immune system plays a critical role in our health. No other component of human physiology plays a decisive role in as diverse an array of maladies, from deadly diseases with which we are all familiar to equally terrible esoteric conditions: HIV, malaria, pneumococcal and influenza infections; cancer; atherosclerosis; autoimmune diseases such as lupus, diabetes, and multiple sclerosis. The importance of understanding the function of the immune system and learning how to modulate immunity to protect against or treat disease thus cannot be overstated. Fortunately, we are entering an exciting era where the science of immunology is defining pathways for the rational manipulation of the immune system at the cellular and molecular level, and this understanding is leading to dramatic advances in the clinic that are transforming the future of medicine.1,2 These initial advances are being made primarily through biologic drugs– recombinant proteins (especially antibodies) or patient-derived cell therapies– but exciting data from preclinical studies suggest that a marriage of approaches based in biotechnology with the materials science and chemistry of nanomaterials, especially nanoparticles, could enable more effective and safer immune engineering strategies. This review will examine these nanoparticle-based strategies to immune modulation in detail, and discuss the promise and outstanding challenges facing the field of immune engineering from a chemical biology/materials engineering perspectiveNational Institutes of Health (U.S.) (Grants AI111860, CA174795, CA172164, AI091693, and AI095109)United States. Department of Defense (W911NF-13-D-0001 and Awards W911NF-07-D-0004

    Is it (Dis)Advantageous to Have Mixed Parentage? Exploring Education & Work Characteristics of Children of Interethnic Unions in Britain

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    Extant studies commonly claim that mixed ethnic children face difficulties in affiliating with either of the parental ethnic group, which consequently negatively affects their identity development. However, the majority of the existing literature is based on clinical evidence of small highly self-selected samples of those seeking psychological assistance. This paper aims to investigate the socioeconomic outcomes of mixed ethnic children using the Office for National Statistics Longitudinal Study data (N=35,302) which is a nationally representative 1% sample of the population in England and Wales. We hypothesise that an interethnic union between one immigrant parent and one parent from a majority population could promote integration of an offspring. Here educational attainment and employment status are used as indicators of socioeconomic integration. Logistic regression is employed to estimate the probabilities of having a degree qualification and being in employment of mixed ethnic individuals comparing to children of two ethnic minority parents and native children of two native white parents. Controlling for parental demographic and socio-economic characteristics as well as neighbourhood characteristics, the results suggest that having one native white parent bring children of immigrants closer to the characteristics of the majority population, signalling better integration of children with mixed parentage compared to their counterparts whose both parents are from minority ethnic group

    Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

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    Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified
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