Generalized sampling interpolation of noisy gravity/gravity gradient data

The generalized sampling expansion (GSE) has been shown as a method for successfully interpolating combined gravity and gravity gradient data sets when the data are undersampled. The presence of noise on data sets renders such interpolation more difficult and many applications (known as expansions) of the GSE can be shown to intolerably amplify noise. However, many key expansions can be shown to successfully interpolate noisy data and even, given limited gradient error and sufficiently narrow line-spacing, reduce noise. These results can be shown to hold for both random noise and along-line correlated (levelling error type) noise. Unfortunately, the only expansion capable of interpolating a data set sampled at 3× conventional line-spacing, the Three-rectangle expansion, has a poor noise response and always acts to amplify data error. The GSE method bares up well against other methods of gradient enhanced interpolation; in numerical tests several expansions for the gravity field produce less noisy output than any of the pseudo-line, gradient enhanced minimum curvature or gradient enhanced Akima spline methods. Despite edge effects and using only gradient data with no gravity component, the GSE applied to real undersampled survey data bares up well against conventional interpolation, reducing noise where the data are clearly undersample

Major development projects: connecting people in poverty to jobs

This report demonstrates the opportunities for local partners to do more to ensure that unemployed people benefit from job and training opportunities created by development, setting out a framework for use by local authorities, partner organisations and employers. Development projects create valuable employment and training opportunities, but those opportunities do not automatically help to tackle unemployment and poverty

Do GPs want or need formal support following a patient suicide?: a mixed methods study.

BACKGROUND: Patient suicide can be a devastating event for some general practitioners (GPs). Few guidelines exist to aid or support GPs in the aftermath of patient suicide. AIM: To explore GPs views on how they are affected by a patient suicide and the formal support available to them following a patient suicide. DESIGN: Questionnaires and semi-structured interviews. SETTING: General practices in the northwest of England. METHODS: About 198 semi-structured interviews were conducted as part of a retrospective study. Interviews were transcribed verbatim and analysed using descriptive statistics and a framework thematic approach. RESULTS: GPs were aged between 31 and 67 years, 144 (73%) were male and the number of years in practice varied between 8 and 40 years (median = 24 years). GPs were based at 133 (67%) urban and 65 (33%) rural practices, 30 (15%) were single-handed GP practices and 168 (85%) practices had two or more GPs. About 131 (66%) GPs reported being affected by patient suicide through feelings of grief, guilt and self-scrutiny. A greater number of years in practice may have been protective against these effects. About 54 (27%) GPs reported having mostly 'informal' support from peers or colleagues and support was less available to younger and single handed GPs. CONCLUSIONS: Our findings suggest that the majority of GPs are affected by patient suicide and most seek informal support from their peers and colleagues. Although many indicated that informal support systems were adequate and provided a protective environment, procedures should be developed to ensure the availability of guidelines for those who may require formal support

Assessment and Management of Suicide Risk in Primary Care

Abstract Background Risk assessment and management of suicidal patients is emphasized as a key component of care in specialist mental health services, but these issues are relatively unexplored in primary care services. Aim To examine risk assessment and management in primary and secondary care in a clinical sample of individuals who were in contact with mental health services and died by suicide. Method Data collection from clinical proformas, case records, and semi-structured face–to-face interviews with general practitioners. Results Primary and secondary care data was available for 198 of the 336 cases (59%). The overall agreement in the rating of risk between services was poor (overall kappa = 0.127; p = 0.10). Depression, care setting (post discharge), suicidal ideation at last contact and a history of self-harm were associated with a rating of higher risk. Suicide prevention policies were available in 25% of primary care practices and 33% of staff received training in suicide risk assessments. Conclusion Risk is difficult to predict, but the variation in risk assessment between professional groups may reflect poor communication. Further research is required to understand this. There appears to be a relative lack of suicide risk assessment training in primary care

Fastener apparatus

A fastening apparatus is adapted to be inserted and removed from one side of a work piece having an opposite side which is substantially inaccessible to a worker. A first, externally threaded member is threadingly engaged with a receiving structure, and a second member is inserted within corresponding seats or grooves for interlocking the two members. In the preferred embodiment diverting seats are provided for forming the second member into locking engagement between the receiving structure and the first member. In one embodiment, seat structures are provided for engaging frangible panels or the like for high temperature applications

Determination of optimal conditions for pressure oxidative leaching of Sarcheshmeh Molybdenite concentrate using Taguchi method

The present research work is based on finding the optimum conditions for pressure oxidative leaching of the molybdenite concentrate to produce technical-grade molybdic oxide (MoO3) with high recovery through further treatment of the filtrate solution. The Taguchi method was used to design and minimize the number of experiments. By using Taguchi orthogonal (L25) array, five parameters (time, temperature, oxygen pressure, pulp density and acid concentration) at five levels were selected for 25 experiments. The experiments were designed and carried out in a high-pressure reactor in the presence of nitric acid as solvent and oxidizing agent for the molybdenite concentrate and its ReS2 content. The optimum conditions for pressure leaching of molybdenite were obtained through using Signal to Noise analysis and modified by using Minitab software prediction tool. Furthermore, the optimum condition for an economical pressure leaching of rhenium sulfide (ReS2) was achieved with the same process. Analysis of variance (ANOVA) showed that the pulp density is of paramount importance in this process

Generative adversarial networks: an overview

Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in a variety of applications, including image synthesis, semantic image editing, style transfer, image superresolution, and classification. The aim of this review article is to provide an overview of GANs for the signal processing community, drawing on familiar analogies and concepts where possible. In addition to identifying different methods for training and constructing GANs, we also point to remaining challenges in their theory and application