Lessons from Recent Measurements of D-\bar D Mixing

An impressive progress in measurements of the D-\bar D mixing parameters has been made in recent years. We explore the implications of these measurements to models of new physics, especially in view of recent upper bounds on the amount of CP violation. We update the constraints on non-renormalizable four-quark operators. We show that the experiments are close to probing minimally flavor violating models with large tan beta. The data challenge models with a scale of order TeV where the flavor violation in the down sector is suppressed by alignment and, in particular, certain classes of supersymmetric models and of warped extra dimension models.Comment: 20 pages, 1 figure. Added references, minor corrections and clarifications. Matches published versio

Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network

The UK is one of several countries around the world that has enacted legislation to reduce its greenhouse gas emissions. In this study, we present top-down emissions of methane (CH4) and nitrous oxide (N2O) for the UK and Ireland over the period August 2012 to August 2014. These emissions were inferred using measurements from a network of four sites around the two countries. We used a hierarchical Bayesian inverse framework to infer fluxes as well as a set of covariance parameters that describe uncertainties in the system. We inferred average UK total emissions of 2.09 (1.65–2.67) Tg yr−1 CH4 and 0.101 (0.068–0.150) Tg yr−1 N2O and found our derived UK estimates to be generally lower than the a priori emissions, which consisted primarily of anthropogenic sources and with a smaller contribution from natural sources. We used sectoral distributions from the UK National Atmospheric Emissions Inventory (NAEI) to determine whether these discrepancies can be attributed to specific source sectors. Because of the distinct distributions of the two dominant CH4 emissions sectors in the UK, agriculture and waste, we found that the inventory may be overestimated in agricultural CH4 emissions. We found that annual mean N2O emissions were consistent with both the prior and the anthropogenic inventory but we derived a significant seasonal cycle in emissions. This seasonality is likely due to seasonality in fertilizer application and in environmental drivers such as temperature and rainfall, which are not reflected in the annual resolution inventory. Through the hierarchical Bayesian inverse framework, we quantified uncertainty covariance parameters and emphasized their importance for high-resolution emissions estimation. We inferred average model errors of approximately 20 and 0.4 ppb and correlation timescales of 1.0 (0.72–1.43) and 2.6 (1.9–20 3.9) days for CH4 and N2O, respectively. These errors are a combination of transport model errors as well as errors due to unresolved emissions processes in the inventory. We found the largest CH4 errors at the Tacolneston station in eastern England, which may be due to sporadic emissions from landfills and offshore gas in the North Sea

Increasing concentrations of dichloromethane, CH2Cl2, inferred from CARIBIC air samples collected 1998–2012

Atmospheric concentrations of dichloromethane, CH2Cl2, a regulated toxic air pollutant and minor contributor to stratospheric ozone depletion, were reported to have peaked around 1990 and to be declining in the early part of the 21st century. Recent observations suggest this trend has reversed and that CH2Cl2 is once again increasing in the atmosphere. Despite the importance of ongoing monitoring and reporting of atmospheric CH2Cl2, no time series has been discussed in detail since 2006. The CARIBIC project (Civil Aircraft for the Regular Investigation of the atmosphere Based on an Instrument Container) has analysed the halocarbon content of whole-air samples collected at altitudes of between ~10–12 km via a custom-built container installed on commercial passenger aircraft since 1998, providing a long-term record of CH2Cl2 observations. In this paper we present this unique CH2Cl2 time series, discussing key flight routes which have been used at various times over the past 15 years. Between 1998 and 2012 increases were seen in all northern hemispheric regions and at different altitudes, ranging from ~7–10 ppt in background air to ~13–15 ppt in regions with stronger emissions (equating to a 38–69% increase). Of particular interest is the rising importance of India as a source of atmospheric CH2Cl2: based on CARIBIC data we provide regional emission estimates for the Indian subcontinent and show that regional emissions have increased from 3–14 Gg yr^-1 (1998–2000) to 16–25 Gg yr^-1 (2008). Potential causes of the increasing atmospheric burden of CH2Cl2 are discussed. One possible source is the increased use of CH2Cl2 as a feedstock for the production of HFC-32, a chemical used predominantly as a replacement for ozone-depleting substances in a variety of applications including air conditioners and refrigeration

Recent physical and sexual violence against adults with severe mental illness: a systematic review and meta-analysis

People with severe mental illness (SMI) have high prevalence of lifetime victimization, but little is known about the extent and risk of recent domestic/sexual violence. The objective was to synthesize evidence on prevalence, odds, and risk factors for recent violence against people with SMI, with a focus on domestic and sexual violence. Relevant studies were identified through literature searches in Medline, Psychinf, Embase (for studies published in 2010–2015), and through existing systematic reviews (for studies published in 2000–2014). The review included 30 studies (with 16 140 SMI participants), including six on domestic violence and 11 on sexual violence. Prevalence of recent domestic violence ranged from 15–22% among women and from 4–10% among men/mixed samples; with little evidence on risk compared with the general population. Median prevalence of sexual violence was 9.9% (IQR = 5.9–18.1%) in women and 3.1% (IQR = 2.5–6.7%) in men; with 6-fold higher odds of victimization compared with the general population. There was little evidence on risk factors for domestic or sexual violence. In conclusion, people with SMI have a high prevalence of recent domestic and sexual violence, but little is known about risk factors for these violence types, or extent of domestic violence victimization compared to the general population

Patients' experiences of assessment and detention under mental health legislation: systematic review and qualitative meta-synthesis

Background: Understanding patient experiences of detention under mental health legislation is crucial to efforts to reform policy and practice. Aims: To synthesise qualitative evidence on patients' experiences of assessment and detention under mental health legislation. Method: Five bibliographic databases were searched, supplemented by reference list screening and citation tracking. Studies were included if they reported on patient experiences of assessment or detention under mental health legislation; reported on patients aged 18 years or older; collected data using qualitative methods; and were reported in peer-reviewed journals. Findings were analysed and synthesised using thematic synthesis. Results: The review included 56 papers. Themes were generally consistent across studies and related to information and involvement in care, the environment and relationships with staff, as well as the impact of detention on feelings of self-worth and emotional state. The emotional impact of detention and views of its appropriateness varied, but a frequent theme was fear and distress during detention, including in relation to the use of force and restraint. Where staff were perceived as striving to form caring and collaborative relationships with patients despite the coercive nature of treatment, and when clear information was delivered, the negative impact of involuntary care seemed to be reduced. Conclusions: Findings suggest that involuntary in-patient care is often frightening and distressing, but certain factors were identified that can help reduce negative experiences. Coproduction models may be fruitful in developing new ways of working on in-patient wards that provide more voice to patients and staff, and physical and social environments that are more conducive to recovery

Patients' experiences of assessment and detention under mental health legislation: systematic review and qualitative meta-synthesis

Background: Understanding patient experiences of detention under mental health legislation is crucial to efforts to reform policy and practice. Aims: To synthesise qualitative evidence on patients' experiences of assessment and detention under mental health legislation. Method: Five bibliographic databases were searched, supplemented by reference list screening and citation tracking. Studies were included if they reported on patient experiences of assessment or detention under mental health legislation; reported on patients aged 18 years or older; collected data using qualitative methods; and were reported in peer-reviewed journals. Findings were analysed and synthesised using thematic synthesis. Results: The review included 56 papers. Themes were generally consistent across studies and related to information and involvement in care, the environment and relationships with staff, as well as the impact of detention on feelings of self-worth and emotional state. The emotional impact of detention and views of its appropriateness varied, but a frequent theme was fear and distress during detention, including in relation to the use of force and restraint. Where staff were perceived as striving to form caring and collaborative relationships with patients despite the coercive nature of treatment, and when clear information was delivered, the negative impact of involuntary care seemed to be reduced. Conclusions: Findings suggest that involuntary in-patient care is often frightening and distressing, but certain factors were identified that can help reduce negative experiences. Coproduction models may be fruitful in developing new ways of working on in-patient wards that provide more voice to patients and staff, and physical and social environments that are more conducive to recovery

Experiences of domestic violence and mental disorders:a systematic review and meta-analysis

BACKGROUND: Little is known about the extent to which being a victim of domestic violence is associated with different mental disorders in men and women. We aimed to estimate the prevalence and odds of being a victim of domestic violence by diagnostic category and sex. METHODS: Study design: Systematic review and meta-analysis. Data Sources: Eighteen biomedical and social sciences databases (including MEDLINE, EMBASE, PsycINFO); journal hand searches; scrutiny of references and citation tracking of included articles; expert recommendations, and an update of a systematic review on victimisation and mental disorder. Inclusion criteria: observational and intervention studies reporting prevalence or odds of being a victim of domestic violence in men and women (aged ≥16 years), using validated diagnostic measures of mental disorder. Procedure: Data were extracted and study quality independently appraised by two reviewers. Analysis: Random effects meta-analyses were used to pool estimates of prevalence and odds. RESULTS: Forty-one studies were included. There is a higher risk of experiencing adult lifetime partner violence among women with depressive disorders (OR 2.77 (95% CI 1.96–3.92), anxiety disorders (OR 4.08 (95% CI 2.39–6.97), and PTSD (OR 7.34 95% CI 4.50–11.98), compared to women without mental disorders. Insufficient data were available to calculate pooled odds for other mental disorders, family violence (i.e. violence perpetrated by a non-partner), or violence experienced by men. Individual studies reported increased odds for women and men for all diagnostic categories, including psychoses, with a higher prevalence reported for women. Few longitudinal studies were found so the direction of causality could not be investigated. CONCLUSIONS: There is a high prevalence and increased likelihood of being a victim of domestic violence in men and women across all diagnostic categories, compared to people without disorders. Longitudinal studies are needed to identify pathways to being a victim of domestic violence to optimise healthcare responses

Patients' experiences of assessment and detention under mental health legislation: systematic review and qualitative meta-synthesis

Background Understanding patient experiences of detention under mental health legislation is crucial to efforts to reform policy and practice. Aims To synthesise qualitative evidence on patients' experiences of assessment and detention under mental health legislation. Method Five bibliographic databases were searched, supplemented by reference list screening and citation tracking. Studies were included if they reported on patient experiences of assessment or detention under mental health legislation; reported on patients aged 18 years or older; collected data using qualitative methods; and were reported in peer-reviewed journals. Findings were analysed and synthesised using thematic synthesis. Results The review included 56 papers. Themes were generally consistent across studies and related to information and involvement in care, the environment and relationships with staff, as well as the impact of detention on feelings of self-worth and emotional state. The emotional impact of detention and views of its appropriateness varied, but a frequent theme was fear and distress during detention, including in relation to the use of force and restraint. Where staff were perceived as striving to form caring and collaborative relationships with patients despite the coercive nature of treatment, and when clear information was delivered, the negative impact of involuntary care seemed to be reduced. Conclusions Findings suggest that involuntary in-patient care is often frightening and distressing, but certain factors were identified that can help reduce negative experiences. Coproduction models may be fruitful in developing new ways of working on in-patient wards that provide more voice to patients and staff, and physical and social environments that are more conducive to recovery

Modelling marine emissions and atmospheric distributions of halocarbons and dimethyl sulfide: the influence of prescribed water concentration vs. prescribed emissions

Marine-produced short-lived trace gases such as dibromomethane (CH2Br2), bromoform (CHBr3), methyliodide (CH3I) and dimethyl sulfide (DMS) significantly impact tropospheric and stratospheric chemistry. Describing their marine emissions in atmospheric chemistry models as accurately as possible is necessary to quantify their impact on ozone depletion and Earth's radiative budget. So far, marine emissions of trace gases have mainly been prescribed from emission climatologies, thus lacking the interaction between the actual state of the atmosphere and the ocean. Here we present simulations with the chemistry climate model EMAC (ECHAM5/MESSy Atmospheric Chemistry) with online calculation of emissions based on surface water concentrations, in contrast to directly prescribed emissions. Considering the actual state of the model atmosphere results in a concentration gradient consistent with model real-time conditions at the ocean surface and in the atmosphere, which determine the direction and magnitude of the computed flux. This method has a number of conceptual and practical benefits, as the modelled emission can respond consistently to changes in sea surface temperature, surface wind speed, sea ice cover and especially atmospheric mixing ratio. This online calculation could enhance, dampen or even invert the fluxes (i.e. deposition instead of emissions) of very short-lived substances (VSLS). We show that differences between prescribing emissions and prescribing concentrations (−28 % for CH2Br2 to +11 % for CHBr3) result mainly from consideration of the actual, time-varying state of the atmosphere. The absolute magnitude of the differences depends mainly on the surface ocean saturation of each particular gas. Comparison to observations from aircraft, ships and ground stations reveals that computing the air–sea flux interactively leads in most of the cases to more accurate atmospheric mixing ratios in the model compared to the computation from prescribed emissions. Calculating emissions online also enables effective testing of different air–sea transfer velocity (k) parameterizations, which was performed here for eight different parameterizations. The testing of these different k values is of special interest for DMS, as recently published parameterizations derived by direct flux measurements using eddy covariance measurements suggest decreasing k values at high wind speeds or a linear relationship with wind speed. Implementing these parameterizations reduces discrepancies in modelled DMS atmospheric mixing ratios and observations by a factor of 1.5 compared to parameterizations with a quadratic or cubic relationship to wind spee