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To explore the mental health of private flat owners in residential buildings with external combustible cladding, which require remediation following the 2017 Grenfell tower fire.
The speed at which the fire at Grenfell spread, killing 72 people, is largely attributed to external combustible cladding. It is increasingly suspected that there are ongoing profound effects on the mental health of people living in flats with external combustible cladding like Grenfell both in the UK and abroad. The issue has left flat owners facing severe financial hardship, the threat of bankruptcy and concerns about safety in their own homes.
An exploratory ‘Google Forms’ online mental health survey comprising multiple choice and free text questions over 47 sections was distributed to flat owners in affected buildings. The survey remained open for 6 weeks to allow response. 550 individual responses were studied.
550 individuals completed the survey, from 143 buildings across 45 UK councils.
As a direct result of external combustible cladding:
89.5% said their mental health had deteriorated,
22.5% reported having suicidal feelings or a desire to self-harm,
71.1% reported having difficulty sleeping,
93.8% said they were suffering from worry and anxiety,
59.6% used coping strategies to deal with their situation,
35.1% said that existing physical and mental health conditions had been exacerbated,
84.1% said they cannot move on with their lives and
57.9% of people had concerns about seeking help or treatment for mental/physical health problems caused by their situation during the pandemic.
In addition, free text responses reflected feelings of anxiety and low mood attributed to the constant fear of fire, and an inability to plan families and future homes. One person said, “I have been left utterly broken by this. My mental and physical health has worsened, I have severe anxiety, depression and PTSD. I struggle each day to keep myself alive.”
Safe housing is a basic human right. The results show the current situation is having a detrimental impact on flat owners’ mental health and makes a strong case for the provision of specific services offering support - particularly given it is 3.5 years since Grenfell and a viable solution for all is yet to be found.
Patients with psychiatric disorders are exposed to high risk of COVID-19 and increased mortality. In this study, we set out to assess the clinical features and outcomes of patients with current psychiatric disorders exposed to COVID-19.
This multi-center prospective study was conducted in 22 psychiatric wards dedicated to COVID-19 inpatients between 28 February and 30 May 2020. The main outcomes were the number of patients transferred to somatic care units, the number of deaths, and the number of patients developing a confusional state. The risk factors of confusional state and transfer to somatic care units were assessed by a multivariate logistic model. The risk of death was analyzed by a univariate analysis.
In total, 350 patients were included in the study. Overall, 24 (7%) were transferred to medicine units, 7 (2%) died, and 51 (15%) patients presented a confusional state. Severe respiratory symptoms predicted the transfer to a medicine unit [odds ratio (OR) 17.1; confidence interval (CI) 4.9–59.3]. Older age, an organic mental disorder, a confusional state, and severe respiratory symptoms predicted mortality in univariate analysis. Age >55 (OR 4.9; CI 2.1–11.4), an affective disorder (OR 4.1; CI 1.6–10.9), and severe respiratory symptoms (OR 4.6; CI 2.2–9.7) predicted a higher risk, whereas smoking (OR 0.3; CI 0.1–0.9) predicted a lower risk of a confusional state.
COVID-19 patients with severe psychiatric disorders have multiple somatic comorbidities and have a risk of developing a confusional state. These data underline the need for extreme caution given the risks of COVID-19 in patients hospitalized for psychiatric disorders.
Indigenous literature suggests Māori businesses are distinct within Aotearoa New Zealand, due to facing unique challenges and having different operating preferences. It could also be argued that Māori and non-Māori enterprises in the private, public and not-for-profit sectors are identical as a function of operating in similar markets. However, there is a paucity of empirical evidence, and the present article rectifies this with a study of 230 Aotearoa enterprises, including 24 Māori. We test differences and find Māori enterprises report higher cultural capital, which relates to employees' knowledge and skills towards working with and respecting cultural values. However, we find no differences across human capital, relational capital, entrepreneurial culture, and organisational performance. The findings suggest that apart from a culturally specific factor, Māori and non-Māori enterprises appear to be similarly enabled, which provides a useful benchmark for understanding Māori business. We discuss the implications for research.
This chapter looks at the production of data visualizations (dataviz) in newsrooms and audiences’ everyday engagements with them.
Keywords: data visualization, audience engagement, newsrooms, dataviz, storytelling, data publics
This chapter looks at both the production of data visualizations (henceforth “dataviz”) in newsrooms and audiences’ everyday engagements with dataviz, drawing on two separate research projects. The first is Seeing Data, which explored how people make sense of data visualizations, and the second is INDVIL, which explored dataviz as a semiotic, aesthetic and discursive resource in society. The chapter starts by summarizing the main findings of an INDVIL sub-project focusing on dataviz in the news, in which we found that dataviz are perceived in diverse ways and deployed for diverse purposes. It then summarizes our main findings from Seeing Data, where we also found great diversity, this time in how audiences make sense of dataviz. This diversity is important for the future work of both dataviz researchers and practitioners.
Data Visualization in Newsrooms: Trends and Challenges
How is data visualization being embedded into newsroom practice? What trends are emerging, and what challenges are arising? To answer these questions, in 2016 and 2017 we undertook 60 interviews in 26 newsrooms across six European countries: Norway (NO), Sweden (SE), Denmark (DK), Germany (DE), Switzerland (CH) and the United Kingdom (UK). Interviewees in mainstream, online news media organizations included editorial leaders, leaders of specialist data visualization teams, data journalists, visual journalists, graphic/data visualization designers and developers (although some didn't have job titles, a sign in itself that this is a rapidly emerging field). We present some highlights from our research here.
Changing Journalistic Storytelling
The growing use of data visualization within journalism means that there is a shift from writing as the main semiotic mode to data and visualization as central elements in journalistic storytelling. Many interviewees stated that data visualization is the driving force of a story, even when it is a simple graphic or diagram.
The reader stats tell us that when we insert a simple data visualization in a story, readers stay on the page a little longer. (SE)
A thorough characterization of the shear layer that exists in large eddy simulation data of three separated, compression ramp-generated shock/turbulent boundary layer interactions is presented. Free stream Mach numbers ahead of the separation shock are 2.9, 7.2 and 9.1. The shear layers produced by the separation in these flows have convective Mach numbers of 1.0, 1.9 and 2.0, respectively. It is found that the separation shear layers share many properties associated with canonical compressible mixing layers. A region of approximate similarity is found in each where it is possible to collapse the mean flow profiles into nearly a single similarity profile. Large mixing-layer-like vortical rollers are found in the shear layers and these are shown to become increasingly three-dimensional with increasing convective Mach number. The relation between the peak turbulence stress and the spreading rate was found to be consistent with mixing layer data and mixing layer theory derived from dimensional analysis. Turbulent kinetic energy and Reynolds stress budget analysis revealed that, although the streamwise turbulence production is greater than the canonical mixing layer, the transfer of turbulence energy by the pressure–strain terms and the energy drain by viscosity terms both show similar behaviour to mixing layer data at matching convective Mach number. As a result, the spreading rate and turbulence anisotropy decrease with increasing $M_c$. These conclusions are aided by an accurate and direct measurement of the vortex convection velocity determined from enhanced two-point correlations in the shear flow. The usefulness of studying the shock/turbulent boundary layer flow in this manner is emphasized.
Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction.
Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression. Here, we explore the use of a simulation centre environment in evaluating the usability of Aifred, particularly its impact on the physician–patient interaction.
Twenty psychiatry and family medicine attending staff and residents were recruited to complete a 2.5-h study at a clinical interaction simulation centre with standardised patients. Each physician had the option of using the CDSS to inform their treatment choice in three 10-min clinical scenarios with standardised patients portraying mild, moderate and severe episodes of major depression. Feasibility and acceptability data were collected through self-report questionnaires, scenario observations, interviews and standardised patient feedback.
All 20 participants completed the study. Initial results indicate that the tool was acceptable to clinicians and feasible for use during clinical encounters. Clinicians indicated a willingness to use the tool in real clinical practice, a significant degree of trust in the system's predictions to assist with treatment selection, and reported that the tool helped increase patient understanding of and trust in treatment. The simulation environment allowed for the evaluation of the tool's impact on the physician–patient interaction.
The simulation centre allowed for direct observations of clinician use and impact of the tool on the clinician–patient interaction before clinical studies. It may therefore offer a useful and important environment in the early testing of new technological tools. The present results will inform further tool development and clinician training materials.
The 2020 COVID-19 pandemic has had a profound impact on the clinical research enterprises at the 60 Clinical and Translational Science Award (CTSA) Hubs throughout the nation. There was simultaneously a need to expand research to obtain crucial data about disease prognosis and therapy and enormous limitations on conducting research as localities and institutions limited travel and person-to-person contact. These imperatives resulted in major changes in the way research was conducted, including expediting Institutional Review Board review, shifting to remote interactions with participants, centralizing decision-making in prioritizing research protocols, establishing biobanks, adopting novel informatics platforms, and distributing study drugs in unconventional ways. National CTSA Steering Committee meetings provided an opportunity to share best practices and develop the idea of capturing the CTSA program experiences in a series of papers. Here we bring together the recommendations from those papers in a list of specific actions that research sites can take to strengthen operations and prepare for similar future public health emergencies. Most importantly, creative innovations developed in response to the COVID-19 pandemic deserve serious consideration for adoption as new standards, thus converting the painful trauma of the pandemic into “post-traumatic growth” that makes the clinical research enterprise stronger, more resilient, and more effective.
The first demonstration of laser action in ruby was made in 1960 by T. H. Maiman of Hughes Research Laboratories, USA. Many laboratories worldwide began the search for lasers using different materials, operating at different wavelengths. In the UK, academia, industry and the central laboratories took up the challenge from the earliest days to develop these systems for a broad range of applications. This historical review looks at the contribution the UK has made to the advancement of the technology, the development of systems and components and their exploitation over the last 60 years.
There is a broad consensus that state capacity is central to economic and institutional development. But while the concept originated as a tool for macro-historical and comparative analysis, its success has led the term ‘capacity’ to become a default metaphor for discussing the quality of government bureaucracies. This paper discusses the limitations to conceiving of narrower questions of bureaucratic performance and policy implementation through the lens of the broad, aggregate concept of capacity. Whereas capacity refers to bureaucracies' hypothetical potential, this usually differs from their actual actions due to internal information and incentive problems created by bureaucracies' collective nature, and the constraints and uncertainty imposed by their multiple political principals. Capacity is a convenient shorthand term and is appropriate for some purposes, but it achieves this convenience by abstracting away from the mechanisms that determine bureaucratic performance and policy implementation. To advance the study of bureaucratic quality, researchers should seek to understand the implications of bureaucracies' collective nature, engage with contextual specificity and contingency in policy implementation, and focus measurement and reform efforts more towards actual performance than hypothetical capacity.
The inclusion of students with autism spectrum disorder (ASD) is increasing, but there have been no longitudinal studies of included students in Australia. Interview data reported in this study concern primary school children with ASD enrolled in mainstream classes in South Australia and New South Wales, Australia. In order to examine perceived facilitators and barriers to inclusion, parents, teachers, and principals were asked to comment on the facilitators and barriers to inclusion relevant to each child. Data are reported about 60 students, comprising a total of 305 parent interviews, 208 teacher interviews, and 227 principal interviews collected at 6-monthly intervals over 3.5 years. The most commonly mentioned facilitator was teacher practices. The most commonly mentioned barrier was intrinsic student factors. Other factors not directly controllable by school staff, such as resource limitations, were also commonly identified by principals and teachers. Parents were more likely to mention school- or teacher-related barriers. Many of the current findings were consistent with previous studies but some differences were noted, including limited reporting of sensory issues and bullying as barriers. There was little change in the pattern of facilitators and barriers identified by respondents over time. A number of implications for practice and directions for future research are discussed.
Antarctica's ice shelves modulate the grounded ice flow, and weakening of ice shelves due to climate forcing will decrease their ‘buttressing’ effect, causing a response in the grounded ice. While the processes governing ice-shelf weakening are complex, uncertainties in the response of the grounded ice sheet are also difficult to assess. The Antarctic BUttressing Model Intercomparison Project (ABUMIP) compares ice-sheet model responses to decrease in buttressing by investigating the ‘end-member’ scenario of total and sustained loss of ice shelves. Although unrealistic, this scenario enables gauging the sensitivity of an ensemble of 15 ice-sheet models to a total loss of buttressing, hence exhibiting the full potential of marine ice-sheet instability. All models predict that this scenario leads to multi-metre (1–12 m) sea-level rise over 500 years from present day. West Antarctic ice sheet collapse alone leads to a 1.91–5.08 m sea-level rise due to the marine ice-sheet instability. Mass loss rates are a strong function of the sliding/friction law, with plastic laws cause a further destabilization of the Aurora and Wilkes Subglacial Basins, East Antarctica. Improvements to marine ice-sheet models have greatly reduced variability between modelled ice-sheet responses to extreme ice-shelf loss, e.g. compared to the SeaRISE assessments.
The principal aim of this study was to optimize the diagnosis of canine neuroangiostrongyliasis (NA). In total, 92 cases were seen between 2010 and 2020. Dogs were aged from 7 weeks to 14 years (median 5 months), with 73/90 (81%) less than 6 months and 1.7 times as many males as females. The disease became more common over the study period. Most cases (86%) were seen between March and July. Cerebrospinal fluid (CSF) was obtained from the cisterna magna in 77 dogs, the lumbar cistern in f5, and both sites in 3. Nucleated cell counts for 84 specimens ranged from 1 to 146 150 cells μL−1 (median 4500). Percentage eosinophils varied from 0 to 98% (median 83%). When both cisternal and lumbar CSF were collected, inflammation was more severe caudally. Seventy-three CSF specimens were subjected to enzyme-linked immunosorbent assay (ELISA) testing for antibodies against A. cantonensis; 61 (84%) tested positive, titres ranging from <100 to ⩾12 800 (median 1600). Sixty-one CSF specimens were subjected to real-time quantitative polymerase chain reaction (qPCR) testing using a new protocol targeting a bioinformatically-informed repetitive genetic target; 53/61 samples (87%) tested positive, CT values ranging from 23.4 to 39.5 (median 30.0). For 57 dogs, it was possible to compare CSF ELISA serology and qPCR. ELISA and qPCR were both positive in 40 dogs, in 5 dogs the ELISA was positive while the qPCR was negative, in 9 dogs the qPCR was positive but the ELISA was negative, while in 3 dogs both the ELISA and qPCR were negative. NA is an emerging infectious disease of dogs in Sydney, Australia.
The concentration of radiocarbon (14C) differs between ocean and atmosphere. Radiocarbon determinations from samples which obtained their 14C in the marine environment therefore need a marine-specific calibration curve and cannot be calibrated directly against the atmospheric-based IntCal20 curve. This paper presents Marine20, an update to the internationally agreed marine radiocarbon age calibration curve that provides a non-polar global-average marine record of radiocarbon from 0–55 cal kBP and serves as a baseline for regional oceanic variation. Marine20 is intended for calibration of marine radiocarbon samples from non-polar regions; it is not suitable for calibration in polar regions where variability in sea ice extent, ocean upwelling and air-sea gas exchange may have caused larger changes to concentrations of marine radiocarbon. The Marine20 curve is based upon 500 simulations with an ocean/atmosphere/biosphere box-model of the global carbon cycle that has been forced by posterior realizations of our Northern Hemispheric atmospheric IntCal20 14C curve and reconstructed changes in CO2 obtained from ice core data. These forcings enable us to incorporate carbon cycle dynamics and temporal changes in the atmospheric 14C level. The box-model simulations of the global-average marine radiocarbon reservoir age are similar to those of a more complex three-dimensional ocean general circulation model. However, simplicity and speed of the box model allow us to use a Monte Carlo approach to rigorously propagate the uncertainty in both the historic concentration of atmospheric 14C and other key parameters of the carbon cycle through to our final Marine20 calibration curve. This robust propagation of uncertainty is fundamental to providing reliable precision for the radiocarbon age calibration of marine based samples. We make a first step towards deconvolving the contributions of different processes to the total uncertainty; discuss the main differences of Marine20 from the previous age calibration curve Marine13; and identify the limitations of our approach together with key areas for further work. The updated values for ΔR, the regional marine radiocarbon reservoir age corrections required to calibrate against Marine20, can be found at the data base http://calib.org/marine/.
Radiocarbon (14C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age equivalents using a calibration curve compensating for fluctuations in atmospheric 14C concentration. Although calibration curves are constructed from independently dated archives, they invariably require revision as new data become available and our understanding of the Earth system improves. In this volume the international 14C calibration curves for both the Northern and Southern Hemispheres, as well as for the ocean surface layer, have been updated to include a wealth of new data and extended to 55,000 cal BP. Based on tree rings, IntCal20 now extends as a fully atmospheric record to ca. 13,900 cal BP. For the older part of the timescale, IntCal20 comprises statistically integrated evidence from floating tree-ring chronologies, lacustrine and marine sediments, speleothems, and corals. We utilized improved evaluation of the timescales and location variable 14C offsets from the atmosphere (reservoir age, dead carbon fraction) for each dataset. New statistical methods have refined the structure of the calibration curves while maintaining a robust treatment of uncertainties in the 14C ages, the calendar ages and other corrections. The inclusion of modeled marine reservoir ages derived from a three-dimensional ocean circulation model has allowed us to apply more appropriate reservoir corrections to the marine 14C data rather than the previous use of constant regional offsets from the atmosphere. Here we provide an overview of the new and revised datasets and the associated methods used for the construction of the IntCal20 curve and explore potential regional offsets for tree-ring data. We discuss the main differences with respect to the previous calibration curve, IntCal13, and some of the implications for archaeology and geosciences ranging from the recent past to the time of the extinction of the Neanderthals.
To examine core and discretionary food and beverage intake at eating occasions, and to explore the variation in consumption by age and gender in Australian adults and children.
The study utilised one 24-h dietary recall with self-reported eating occasions from a nationally representative sample of Australians. Average servings of each food group for age and gender subpopulations were compared with the Australian Dietary Guidelines. The percentage contribution of each eating occasion to total daily food group intake and typical composition of eating occasions were described. Frequently consumed discretionary foods were reported for eating occasions by age and gender.
2011–2012 Australian National Nutrition and Physical Activity Survey.
12 153 Australian people aged 2 years and above.
Grains were consumed in equal proportions throughout the day across all age and gender subgroups, while remaining core food groups were unequally distributed, featuring more prominently at specific eating occasions. Children consumed two-thirds of their fruit intake as snacks, and up to three quarters of adults’ vegetable and meat intake was consumed at dinner. Children consumed more of their discretionary intake at mid-meals, while adults consumed a greater proportion as part of a main meal.
The present study provides a detailed understanding about when food groups are consumed, the ‘typical’ meal composition across the day, and how consumption patterns and compliance with dietary guidelines differ by age group and gender. These findings can assist in developing more specific nutrition messages which may help to achieve greater improvements in population dietary intake.
Knowledge of crop–weed interference effects on weed biology along with yield penalties can be used for the development of integrated weed management (IWM) tactics. Nevertheless, little is known about the beneficial effects of soybean [Glycine max (L.) Merr.] density, an important aspect of IWM, on late Palmer amaranth (Amaranthus palmeri S. Watson) establishment time. Two field experiments were conducted in 2014 and 2015 to investigate how various soybean densities and A. palmeri establishment timings in weeks after crop emergence (WAE) affect height, biomass, and seed production of the weed but also crop yield in drill-seeded soybean. Soybean density had a significant impact on dry weight and seed production of A. palmeri that established within the first 2 wk of crop emergence, but not for establishment timings of the weed 4 wk and later in relation to crop emergence. Differential performance of A. palmeri gender was observed, regarding greater biomass production of female than male plants under crop presence, and merits further investigation. Grain yield reductions were recorded at earlier A. palmeri establishment timings (i.e., 0 and 1 WAE) compared with 8 WAE establishment timing in 2014 and 2015. High soybean densities resulted in greater soybean yields compared with low soybean density, but no grain yield benefits were observed between medium and high soybean densities. Crop budget analysis revealed the benefits of moderate seeding rate (i.e., 250, 000 seeds ha−1) increases in comparison to lower (i.e., 125,000 seeds ha−1) or high (i.e., 400,000 seeds ha−1) on crop revenue, net income returns, and breakeven price. Earlier A. palmeri establishment timings (i.e., 0, 1, and 2 WAE) resulted in lower crop revenue and net income returns compared with later establishment timings of the weed.
The following commentary on Jang and Choi’s chapter Issues and New Directions in Personality Disorder (PD) Genetics (This Volume) echoes their call to harness advances in PD assessment rather than rely on politically derived "top down" nosologies. We first discuss how recent work in the joint hierarchical structure of PD traits and psychopathology, as well as, personality dynamics (i.e., how personality manifests in different situations) likely offer fruitful avenues for exploring the more nuanced role of genetics in the development and maintenance of PD. Second, we highlight the need to better understand the role of environment in PD genetics and discuss emerging models (e.g., common pathway model). Third, we stress the need for more research and larger samples in order to arrive at stronger conclusions. Fourth, we consider how advances in gene-environment research can help to determine targets for PD prevention and treatment.
A combination of olanzapine and samidorphan (OLZ/SAM) is in development for schizophrenia to provide the efficacy of olanzapine while mitigating olanzapine-associated weight gain. The objective of this phase 1 exploratory study was to assess metabolic treatment effects of OLZ/SAM.
Healthy, non-obese adults (18–40 years) were randomized 2:2:1 to once-daily OLZ/SAM, olanzapine, or placebo for 21 days. Assessments included oral glucose tolerance test (OGTT), hyperinsulinemic-euglycemic clamp, weight gain, and adverse event (AE) monitoring. Treatment effects were estimated with analysis of covariance.
Sixty subjects were randomized (OLZ/SAM, n=24; olanzapine, n=24; placebo, n=12); 19 (79.2%), 22 (91.7%), and 11 (91.7%), respectively, completed the study. In the OGTT, olanzapine led to significant hyperinsulinemia (P<0.0001) and significantly reduced insulin sensitivity (2-hour Matsuda index) at day 19 vs baseline (P=0.0012), changes not observed with OLZ/SAM. No significant between-group differences were observed for change from baseline in clamp-derived insulin sensitivity index at day 21. Least squares mean weight change from baseline was similar with OLZ/SAM (3.16 kg) and olanzapine (2.87 kg); both were significantly higher than placebo (0.57 kg; both P<0.01). Caloric intake significantly decreased from baseline to day 22 with OLZ/SAM (P=0.015) but not with olanzapine or placebo. Forty-nine subjects (81.7%) experienced ≥1 AE (OLZ/SAM, 87.5%; olanzapine, 79.2%; placebo, 75.0%).
In this exploratory study, hyperinsulinemia and decreased insulin sensitivity were observed in the OGTT with olanzapine but not with OLZ/SAM or placebo. Clamp-derived insulin sensitivity index and weight changes were similar with OLZ/SAM and olanzapine in healthy subjects during the 3-week study.