3.2.9 Those areas that are not identified as relatively deprived by the neighbourhood-level Indices are not necessarily affluent areas. It may be the case that some areas with a high proportion of people experiencing deprivation, also contain a relatively high proportion of people who have high levels of income or wealth (i.e. where there is high inequality between residents living in the same area). The Indices does not capture or compare relative levels of wealth or affluence, so a lower ranked area could be described as less deprived, but not as more affluent or richer. Similarly, the least deprived area in the country should not be described as the most affluent or richest. For example, the measure of income deprivation is concerned with people on low incomes who are in receipt of benefits or have an income below 60% of the median. An area with a relatively small proportion of people (or indeed no people) on low incomes may also have relatively few or no people on high incomes. Such an area may be ranked among the least deprived in the country, but it is not necessarily among the most affluent. By contrast, an area with a relatively large proportion of people on low incomes may also contain a relatively high proportion of people with very high incomes (the presence of high earners in this area would not affect the overall income domain score which only takes into account the income of those who fall below the threshold to be considered income deprived). 3.2.10 In addition, the Indices of Deprivation methodology is designed to reliably distinguish
modified version of this ‘degree’ measure was included in the Indices of Deprivation 2000 as the ‘Average Rank’ higher-level summary measure. The 1998 Local Index of Deprivation also contained early versions of the higher-level summary measures that were termed ‘Extent’ and ‘Local Concentration’ in the Indices of Deprivation 2000. The ‘Average Score’ higher-level measure was introduced as a new measure in the Indices of Deprivation 2000 following responses to the consultation process. The aim in including the ‘Average Score’ measure was to provide an additional summary measure of deprivation that took into account all small areas within the Local Authority District, but which placed greater emphasis on those Local Authority Districts that contained small areas with the very highest levels of deprivation. The ‘Income Scale’ and ‘Employment Scale’ higher-level summaries were also introduced for the first time in the Indices of Deprivation 2000. In each iteration of the Indices from 2000 onwards, the guidance to users has consistently stressed the importance of considering all higher-level summary measures in order to obtain a comprehensive overview of the levels and patterns of deprivation within the higher-level area. The guidance has also consistently emphasised that no one higher-level summary measure is better than the others.
Generally, a regional model was viewed as being overly complicated and lacking the ability to respond to fluctuations in demand. A ‘region’ composed of 12 LAs might need 12 new EPs in a given year, but on the other hand, it might need 16 if there were a lot of retirements or people moving into part-time work. The proposed model would be unable to account for these differences. Focus group participants noted that such reforms had been discussed on a number of previous occasions and a computer model for distributing training places (based on a variant of this model that used demographics and the income deprivation affecting children index (IDACI) data to model demand, rather than simply number of LAs) had been developed. On each occasion, the model had been found to be unworkable and lacking in support.
To supplement the insights gathered from the individual interviews a series of six focus groups across three HEIs was undertaken. Working with the Department, three English HEIs with a high to moderate proportion of Muslim students were identified. These HEIs were approached, via the Vice Chancellor’s office, to support the research. Each of these institutions kindly recruited two sets of participants – one group of Muslim students, and one group of non-Muslim students (either from other faiths or no particular faith group). To support the recruitment process, the research team provided university contacts with information to help with sample selection (i.e. eligibility and ideal mix of participants - students studying full-time at undergraduate level, and a mix of gender, age and subjects studied) and with information about the research and what participation would involve that could be passed to selected students. Each institution was visited for one day by a pair of researchers. Each focus group was facilitated by two researchers, and took one and a half hours. The group participants were provided with details of the ASF product during the discussion and this formed the focus of much of the discussion. The
1.12 Recent case studies highlight many examples of very effective practice in closing the attainment gap. The most effective strategies had evolved over many years, and sometimes pre-dated the PDG. They included an example of whole-cluster literacy and numeracy strategies that had been developed by a secondary school. The strategies draw on meta-cognitive approaches to help decompose literacy and numeracy skills for children. The strategies were developed and tested within the school’s own English and Maths departments, before being rolled out to other departments at the school, and then to local feeder primary school staff. All staff, parents, governors and pupils across the region are trained on the strategy. The strategies have helped to ensure a consistent approach to literacy and numeracy across the cluster, eased transitions from primary to secondary level, and have helped to raise attainment significantly, both at the point primary pupils enter secondary school, and at the end of Key Stage 4.
The experts of foreign language education published and expounded their views on “academic English” and “general English”. Jigging Cain advocates the transfer of English teaching emphasis from the current general English to the professional English, especially the academic English. Shoran Wang thinks that academic English must be built on the basis of needs analysis, and pay enough attention to academic English. But it does not praise students' English content as the whole content of College English teaching. It is suggested that colleges and universities decide the proportion of academic English based on the actual situation. Qi fang Wen agreed to push forward the English teaching system coexisting with general English and special English, and improve teaching effect by reforming teaching objectives, teaching contents, teaching methods, assessment methods and teaching modes. As different colleges and universities have great differences in school level, location, category and source, the development of academic English Teaching in Colleges and universities in China is not balanced. In addition, the degree of internationalization of higher education in universities is different. There are obvious differences between international scholars and teachers and students, in terms of technology and culture cooperation, overseas students, foreign professors and visiting scholars, and frontier research. The students' needs for academic English (such as overseas visits, listening to English lectures, and learning some English major courses) are different.
set to 0 and tumor values to 1. The setup is the same as for fine kidney segmenta- tion step. Nevertheless, there are test time augmentations (TTA) performed on the validation and testing sets. I use 12 augmentations, that are combinations of 90-degree rotations and flips on all dimensions. From the output of the model, I calculate all the connected components and name them candidates to be a tumor on the given kidney. From the model I also now the probability map (output before converting to logits). So the next step is to calculate the mean probability for each candidate and select only the one, that have probabilities higher than 0.8. This number is empirical and more research on this part is needed.
Background: Omics technologies are being widely used by research- ers to identify biomarkers of disease. Although the technologies for generating and preprocessing different data types (e.g. genomics, transcriptomics, proteomics) differ, the downstream analytical meth- ods are often the same. We are implementing a web application that provides users with a pipeline of methods including machine-learning algorithms, gene set enrichment analysis, and resources for literature mining. Each aspect of the pipeline is accompanied with various inter- active visualizations to maximize interpretability of the results. Methods: This web application is based on a MongoDB, Express. js, React.js and Node.js (MERN) stack, a custom application program interface (API) for data analytics using R (deployed using Docker) and leverages various external APIs such as Enrichr (for gene set enrich- ment analysis), InnateDB (for protein–protein interactions) and Entrez Utilities (for literature searches). User authentication is performed using Google OAuth 2.0. A data analytics dashboard provides interac- tive visualizations to aid in the interpretability of various analyses (e.g. exploratory data analysis, classification algorithms). The website will be deployed using the cloud application platform Heroku. We used an unpublished asthma dataset (of blood expression profiles of early and dual asthmatic responders) to identify biomarkers of the late- phase asthmatic response and attribute them to potential biological mechanisms.
On May 4, 2018, the Centre was granted a release of its obligation to repay the $40,000,000 loan plus interest to the Ontario Financing Authority (the “OFA”). The release is for the full amount of any outstanding principal and interest totalling $51,628,557 as of the effective date of March 31, 2018. As a result, a new agreement has been signed requiring the Centre to make annual payments of $1,000,000 to the OFA in perpetuity subject to the Centre’s ability to make such payments and the guarantee it obtained from the Ministry of Heritage, Sport, Tourism and Culture (the “Ministry”). The future cash flows related to this obligation have been valued at the Net Present Value of a perpetuity using a 3.63% discount rate (which is based on the Province of Ontario’s 25- year borrowing rate plus a 0.5% premium reflecting the Centre’s credit risk) and disclosed below totalling $27,583,238. The difference in carrying value of the old debt and the new obligation as of April 1, 2018 was recognized as a gain on debt extinguishment totalling $24,045,319 for the year ended March 31, 2019.
Ralph Brown, 2019/20 Ern & Les Rothschild Volunteer Award Winner Ralph has an excellent problem-solving mind and expert practical skills in both project work and bike building. Over the past nine years, as both a Freedom Wheels and Technical volunteer he has helped over 200 clients to achieve their goals. Ralph is a helpful team member and always ready to lend a hand.
behaviour became increasingly unpredictable. Rachel helped me find longer-term care for mum. Until she died in June 2019, mum was the most settled she’d ever been. Without Rachel I don’t know what I would have done. I see her as a friend who was with me through the most difficult period of my life.”
Through 2019/20, the Charity continued its support for children with cancer, through a new £3.6 million grant. This will ensure staff at the Oak Centre for Children and Young People can provide paediatric and teenage patients with the very best treatment and care, including access to the latest clinical trials. This is additional to the Charity’s ongoing support for the work of the Oak Paediatric and Adolescent Drug Development Unit which, through the development of breakthrough drugs and treatment, continues to make a life-changing difference to children with cancer all over the world.
results Boys had a higher overall mean WEMWBS score than girls (p<0.0001). In the adjusted model, each of multiple risk behaviours, eating habits, sleep, bullying, physical activity, screen-time and reading were independently associated with mental well-being in both boy and girls (p<0.0001 for both). Sleep and eating behaviours had a stronger association in both sexes than bullying, physical activity and screen time. Young people from black ethnic groups had significantly higher well- being in both sexes. Deprivation was not associated with well-being among boys but was among girls.
The S&P 500 Index returned 16.11% on a one year period as of November 30, 2019, finishing at an all‐time high. The U.S. broad‐based benchmark started 2019 on an optimistic note, returning 8.01% in January 2019 after a 9.03% decline in December 2018. In general, corporate earnings continued to meet expectations while economic data validated a continued, but volatile, bull market. Geopolitical tensions partly drove market volatility as the U.S. and China moved slowly towards "Phase One" of a trade agreement. In addition, U.S. presidential impeachment hearings also contributed to the market volatility. Despite the continued angst in the growth of political risks, U.S. markets saw both growth‐styled and valued‐styled stocks march higher. The U.S. Federal Reserve ("FED") started the year off with a hawkish overtone, increasing the federal funds rate to 2.5%. However, as the year progressed, a more neutral stance was taken as manufacturing data began to weaken globally and the FED lowered the overnight lending rates 3 times to promote the sustained growth in the economy. The FED overnight rate stands at 1.75%.
Within this context, there could be a number of reasons why understanding multiple deprivation is important for help-seeking veterans. In samples not restricted to veterans, evidence suggests an association between social and economic adversity and poorer mental health [9- 11]. However, the causality of this relationship is difficult to interpret. One suggestion to account for this association is that those experiencing mental health difficulties may be more dependent on collective resources for support, and in their absence, symptoms are exacerbated . To date, there has been less work within UK veteran populations. One study exploring this population employed a cross-sectional sample of UK veterans not restricted to those with mental health difficulties. The study reported no evidence of higher than expected levels of social exclusion [13,14]. However, when the sample was restricted to only those with mental health difficulties, an association was found between mental illness and social exclusion . This finding suggests a link between mental health difficulties in veterans and greater deprivation. Similarly, associations have been found between higher socio-economic status and educational achievement and lower incidence of mental health difficulties in members of the military [8,15-17].
Against this backdrop, bank and several sovereign debt risk premia have fallen on euro area financial markets in 2019 to date. And, at the same time, stock market prices have partly recouped the losses in the final stretch of 2018. In Spain and Portugal, the risk premium on long-term sovereign debt vis-à-vis Germany has fallen by around 10 bp and 30 bp, respectively, since the start of the year. In Italy, after reaching a budgetary agreement with the European Commission and despite the fact the economy has gone into technical recession, this spread – which was highly volatile in late 2018 – has held relatively stable in 2019. Currently, it stands around 60 bp below its autumn peak (Chart 1.3.D). European banks’ risk premia also fell. Euro area and Spanish bank share prices have recovered since the start of the year, though to a lesser extent than those of US banks. They have also shown greater sensitivity to unfavourable news, as could be seen in February following the release of 2018 results (Chart 1.3.E). In any event, the EuroStoxx banks index on European bourses and on the Madrid Stock Exchange stand over 20% below their levels at the onset of 2018.