1,439 research outputs found

    The smoking epidemic in England

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    Thermal perturbation of the Sun

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    Thermal perturbations of the solar convection zone can be modeled (to the first order) by perturbing the mixing length parameter alpha (equal to the ratio of the mixing length to the pressure scale height) used in the standard mixing length theory of convection. Results of such an analysis are presented and discussed in relation to recent work by others

    Hardness of Exact Distance Queries in Sparse Graphs Through Hub Labeling

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    A distance labeling scheme is an assignment of bit-labels to the vertices of an undirected, unweighted graph such that the distance between any pair of vertices can be decoded solely from their labels. An important class of distance labeling schemes is that of hub labelings, where a node vGv \in G stores its distance to the so-called hubs SvVS_v \subseteq V, chosen so that for any u,vVu,v \in V there is wSuSvw \in S_u \cap S_v belonging to some shortest uvuv path. Notice that for most existing graph classes, the best distance labelling constructions existing use at some point a hub labeling scheme at least as a key building block. Our interest lies in hub labelings of sparse graphs, i.e., those with E(G)=O(n)|E(G)| = O(n), for which we show a lowerbound of n2O(logn)\frac{n}{2^{O(\sqrt{\log n})}} for the average size of the hubsets. Additionally, we show a hub-labeling construction for sparse graphs of average size O(nRS(n)c)O(\frac{n}{RS(n)^{c}}) for some 0<c<10 < c < 1, where RS(n)RS(n) is the so-called Ruzsa-Szemer{\'e}di function, linked to structure of induced matchings in dense graphs. This implies that further improving the lower bound on hub labeling size to n2(logn)o(1)\frac{n}{2^{(\log n)^{o(1)}}} would require a breakthrough in the study of lower bounds on RS(n)RS(n), which have resisted substantial improvement in the last 70 years. For general distance labeling of sparse graphs, we show a lowerbound of 12O(logn)SumIndex(n)\frac{1}{2^{O(\sqrt{\log n})}} SumIndex(n), where SumIndex(n)SumIndex(n) is the communication complexity of the Sum-Index problem over ZnZ_n. Our results suggest that the best achievable hub-label size and distance-label size in sparse graphs may be Θ(n2(logn)c)\Theta(\frac{n}{2^{(\log n)^c}}) for some 0<c<10<c < 1

    Menstrual hygiene: a ‘silent’ need during disaster recovery

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    Post-disaster relief and recovery operations seldom focus on women’s priorities regarding menstrual hygiene. There is an increasing awareness to incorporate inclusive, participatory, and gender-sensitive strategies for implementation of response programmes. This article presents empirical findings related to menstrual hygiene management (MHM), demonstrating it is integral to women’s privacy and safety during recovery. Using case studies from India, the 2012 Assam floods and 2013 Cyclone Phailin in Odisha, this article explores menstrual hygiene practices in a post-disaster context. The data were collected through participatory learning and action tools such as focus group discussions, household interviews, priority ranking, and observations. It emerged that menstrual hygiene was overlooked at the household level during recovery; women and adolescent girls faced seclusion and isolation, exacerbating privacy and security concerns post-disasters. Some humanitarian agencies have an ad hoc approach towards MHM, which is limited to distribution of sanitary pads and does not address the socio-cultural practices around MHM. There is a need for strategic planning to address MHM with a gender-sensitive and inclusive approach. This article draws practical and policy inferences from the research for stronger approaches towards initiating behaviour change in MHM, and addressing attitudes and knowledge regarding menstrual hygiene

    Menstrual hygiene: a 'silent' need during disaster recovery

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    Post-disaster relief and recovery operations seldom focus on women’s priorities regarding menstrual hygiene. There is an increasing awareness to incorporate inclusive, participatory, and gender-sensitive strategies for implementation of response programmes. This article presents empirical findings related to menstrual hygiene management (MHM), thus demonstrating it is integral to women’s privacy and safety during recovery. Using case studies from India, the 2012 Assam floods and 2013 Cyclone Phailin in Odisha, this article explores menstrual hygiene practices in a post-disaster context. The data were collected through participatory learning and action (PLA) tools such as focus group discussions, household interviews, priority ranking, and observations. It emerged that menstrual hygiene was overlooked at the household level during recovery; women and adolescent girls faced seclusion and isolation, exacerbating privacy and security concerns post-disasters. Some humanitarian agencies have an ad hoc approach towards MHM, which is limited to distribution of sanitary pads, and does not address the socio-cultural practices revolving around MHM. There is a need for strategic planning to address MHM with a gender-sensitive and inclusive approach. This article draws practical and policy inferences from the research for stronger approaches towards initiating behaviour changes in MHM, and addressing attitudes and knowledge regarding menstrual hygiene

    Variation of the Diameter of the Sun as Measured by the Solar Disk Sextant (SDS)

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    The balloon-borne Solar Disk Sextant (SDS) experiment has measured the angular size of the Sun on seven occasions spanning the years 1992 to 2011. The solar half-diameter -- observed in a 100-nm wide passband centred at 615 nm -- is found to vary over that period by up to 200 mas, while the typical estimated uncertainty of each measure is 20 mas. The diameter variation is not in phase with the solar activity cycle; thus, the measured diameter variation cannot be explained as an observational artefact of surface activity. Other possible instrument-related explanations for the observed variation are considered but found unlikely, leading us to conclude that the variation is real. The SDS is described here in detail, as is the complete analysis procedure necessary to calibrate the instrument and allow comparison of diameter measures across decades.Comment: 41 pages; appendix and 2 figures added plus some changes in text based on referee's comments; to appear in MNRA

    Variation in compulsory psychiatric inpatient admission in England:a cross-sectional, multilevel analysis

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    Background: Rates of compulsory admission have increased in England in recent decades, and this trend is accelerating. Studying variation in rates between people and places can help identify modifiable causes. Objectives: To quantify and model variances in the rate of compulsory admission in England at different spatial levels and to assess the extent to which this was explained by characteristics of people and places. Design: Cross-sectional analysis using multilevel statistical modelling. Setting: England, including 98% of Census lower layer super output areas (LSOAs), 95% of primary care trusts (PCTs), 93% of general practices and all 69 NHS providers of specialist mental health services. Participants: 1,287,730 patients. Main outcome measure: The study outcome was compulsory admission, defined as time spent in an inpatient mental illness bed subject to the Mental Health Act (2007) in 2010/11. We excluded patients detained under sections applying to emergency assessment only (including those in places of safety), guardianship or supervision of community treatment. The control group comprised all other users of specialist mental health services during the same period. Data sources: The Mental Health Minimum Data Set (MHMDS). Data on explanatory variables, characterising each of the spatial levels in the data set, were obtained from a wide range of sources, and were linked using MHMDS identifiers. Results: A total of 3.5% of patients had at least one compulsory admission in 2010/11. Of (unexplained) variance in the null model, 84.5% occurred between individuals. Statistically significant variance occurred between LSOAs [6.7%, 95% confidence interval (CI) 6.2% to 7.2%] and provider trusts (6.9%, 95% CI 4.3% to 9.5%). Variances at these higher levels remained statistically significant even after adjusting for a large number of explanatory variables, which together explained only 10.2% of variance in the study outcome. The number of provider trusts whose observed rate of compulsory admission differed from the model average to a statistically significant extent fell from 45 in the null model to 20 in the fully adjusted model. We found statistically significant associations between compulsory admission and age, gender, ethnicity, local area deprivation and ethnic density. There was a small but statistically significant association between (higher) bed occupancy and compulsory admission, but this was subsequently confounded by other covariates. Adjusting for PCT investment in mental health services did not improve model fit in the fully adjusted models. Conclusions: This was the largest study of compulsory admissions in England. While 85% of the variance in this outcome occurred between individuals, statistically significant variance (around 7% each) occurred between places (LSOAs) and provider trusts. This higher-level variance in compulsory admission remained largely unchanged even after adjusting for a large number of explanatory variables. We were constrained by data available to us, and therefore our results must be interpreted with caution. We were also unable to consider many hypotheses suggested by the service users, carers and professionals who we consulted. There is an imperative to develop and evaluate interventions to reduce compulsory admission rates. This requires further research to extend our understanding of the reasons why these rates remain so high. Funding: The National Institute for Health Research Health Services and Delivery Research programme

    The LOX-1 Scavenger Receptor and Its Implications in the Treatment of Vascular Disease

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    Cardiovascular disease is the leading cause of death. The disease is due to atherosclerosis which is characterized by lipid and fat accumulation in arterial blood vessel walls. A key causative event is the accumulation of oxidised low density lipoprotein particles within vascular cells, and this is mediated by scavenger receptors. One such molecule is the LOX-1 scavenger receptor that is expressed on endothelial, vascular smooth muscle, and lymphoid cells including macrophages. LOX-1 interaction with OxLDL particles stimulates atherosclerosis. LOX-1 mediates OxLDL endocytosis via a clathrin-independent internalization pathway. Transgenic animal model studies show that LOX-1 plays a significant role in atherosclerotic plaque initiation and progression. Administration of LOX-1 antibodies in cellular and animal models suggest that such intervention inhibits atherosclerosis. Antiatherogenic strategies that target LOX-1 function using gene therapy or small molecule inhibitors would be new ways to address the increasing incidence of vascular disease in many countries

    Changes to nurses’ practice environment over time

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    © 2016 John Wiley & Sons Ltd Aims: To examine changes in the nursing practice environment, retention-related factors, unit stability and patient care tasks delayed or left undone, over two periods between 2004 and 2013. Background: Positive nurse practice environments have been linked to nurse retention and care quality outcomes. Methods: The collection of the Practice Environment Scale of the Nursing Work Index, job satisfaction, intent to leave, unit instability and tasks delayed or not done at six acute-care hospitals across three Australian states, in two waves between 2004 and 2013; results from the two waves are compared. Results: On average, practice environment scores declined slightly; nurses reported a greater difficulty in finding another nursing position, lower intent to leave their current job and greater instability in their current position. Rates of delayed tasks increased over the period, whereas rates of tasks left undone have decreased over the period. Conclusions: The decline in nurses’ perceptions of the quality of the practice environment is disappointing, particularly given the protracted workforce shortages that have persisted. Significant organisational restructuring and turnover of nurse executives may have contributed to this decline. Implication for Nursing Management: Managers need to apply existing evidence to improve nurse practice environments and manage instability

    Introduction

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