Mental health help-seeking behaviours in young adults

There is clinical and research consensus that significant cognitive, social, emotional development and adjustment to physical changes occurs during young adulthood, in the period between 18 and 24 years1. Whilst three quarters of psychiatric disorders in adults emerge before the age of 25 years , a European study, comparing access to mental healthcare by age bands, reported that 18-24 year old participants were least likely to get care for mental health problems 2. In the 2016 UK National Confidential Enquiry into Suicide in Children and Young People, 43% of people under the age of 25 who died had no known prior contact with any agencies3. Understanding the risk factors and triggers for mental health problems in young adults is crucial, however we also need to know more about how young adults seek help, if we wish to improve the quality and outcomes of mental healthcare. Early interventions may improve the prognosis of primary mental health disorders in young adults and reduce the risk of chronicity and progression to more severe secondary disorders, but research led innovation in mental health care is also hampered by delayed diagnostic assessment and care

Package Bidding for Spectrum Licenses

The FCC was an innovator in adopting the rules of the simultaneous ascending-price auction for its sales of spectrum licenses. While these rules have performed well in the auctions conducted so far (and would perform even better with the design improvements suggested in our first report), there are two inherent limitations in any design that seeks to assign and price the licenses individually. First, such designs create strategic incentives for bidders interested in multiple licenses that are substitutes to reduce their demands for some of the licenses in order to reduce the final prices of the others; this is the demand reduction problem. Second, even if bidders behave non-strategically, there is a fundamental problem with the basic concept of individual-license pricing when licenses are complementary. In simultaneous ascending-price auctions, from a bidder's perspective this is the exposure problem. A bidder who is unsuccessful in bidding for a large package of licenses may be left with a partial package whose total price cannot be justified in the absence of those complementary licenses it failed to win. This problem is present in any auction mechanism that sells licenses individually, with no opportunity to bid on packages. In this report our task is confined to analyses of the merits of package bidding and the practical problems of implementation. In our next report, we will outline proposals for the details of the procedural rules and other aspects of implementing a practical design, as well as the software development that would be necessary.Auctions; Spectrum Auctions; Multiple-Round Auctions; Efficiency

Auction Design Enhancements for Non-Combinatorial Auctions

We evaluate a number of possible enhancements to the FCC auctions. We consider only changes to the current auction rules that stay within the basic format of the simultaneous multiple round auction for individual licenses. This report summarizes and extends our e-mail exchanges with FCC staff on this topic. A subsequent report will cover auctions with combination bids. Overall, the FCC spectrum auctions have been an enormous success. However, there are two design goals in the auction where important improvement can be achieved within the basic rules structure. These are restricting collusion among bidders and reducing the time taken to complete the auction. This report focuses on enhancements that help to achieve these two goals. Some of the suggested changes also streamline the auction process so large auctions can be conducted more quickly without sacrificing efficiency.Auctions; Spectrum Auctions; Multiple-Round Auctions; Efficiency

Random Fixed Point of Three-Dimensional Random-Bond Ising Models

The fixed-point structure of three-dimensional bond-disordered Ising models is investigated using the numerical domain-wall renormalization-group method. It is found that, in the +/-J Ising model, there exists a non-trivial fixed point along the phase boundary between the paramagnetic and ferromagnetic phases. The fixed-point Hamiltonian of the +/-J model numerically coincides with that of the unfrustrated random Ising models, strongly suggesting that both belong to the same universality class. Another fixed point corresponding to the multicritical point is also found in the +/-J model. Critical properties associated with the fixed point are qualitatively consistent with theoretical predictions.Comment: 4 pages, 5 figures, to be published in Journal of the Physical Society of Japa

Reducing risk of type 2 diabetes after gestational diabetes: a qualitative study to explore the potential of technology in primary care

BACKGROUND: Despite the seven-fold increased risk of type 2 diabetes mellitus (T2DM) among females previously diagnosed with gestational diabetes (GD), annual rates of follow-up in primary care are low. There is a need to consider how to reduce the incidence of progression to T2DM among this high-risk group. AIM: To examine the views of females diagnosed with GD to ascertain how to improve primary care support postnatally, and the potential role of technology in reducing the risk of progression to T2DM. DESIGN AND SETTING: A qualitative study of a purposive sample of 27 postnatal females leaving secondary care with a recent diagnosis of GD. METHOD: Semi-structured interviews were conducted with 27 females, who had been previously diagnosed with GD, at around 6-12 weeks postnatally. Interviews were audiotaped, transcribed, and analysed thematically. RESULTS: Facilitators and barriers to engaging in a healthy postnatal lifestyle were identified, the most dominant being competing demands on time. Although females were generally satisfied with the secondary care they received antenatally, they felt abandoned postnatally and were uncertain what to expect from their GP in terms of follow-up and support. Females felt postnatal care could be improved by greater clarity regarding this, and enhanced by peer support, multidisciplinary input, and subsidised facilities. Technology was seen as a potential adjunct by providing information, enabling flexible and personalised self-management, and facilitating social support. CONCLUSION: A more tailored approach for females previously diagnosed with GD may help reduce the risk of progression to T2DM. A need for future research to test the efficacy of using technology as an adjunct to current care was identified

Utility of the COM-B model in identifying facilitators and barriers to maintaining a healthy postnatal lifestyle following a diagnosis of gestational diabetes: a qualitative study

Objectives: Previous qualitative research investigating the experiences of women diagnosed with gestational diabetes (GD) has provided important insights for development of behaviour change interventions. However, these studies often lack a theoretical underpinning. This study explored the use of the COM-B framework (which proposes that individuals need the capability, opportunity, and motivation to perform a particular behaviour) to code and the socio-ecological model to contextualise participant responses to better inform intervention development. Design: Qualitative semi-structured interviews using purposive sampling. Interviews were audio-recorded, transcribed and coded using the COM-B framework. A socio-ecological approach was adopted to understand the context of intervention facets. Setting: Interviews were conducted in a secondary care setting in South Yorkshire. Participants: Twenty-seven postnatal women with a previous diagnosis of GD were interviewed. Results: Applying the COM-B framework to code participant responses identified sixteen key subthemes which reflected either: capability, opportunity, or motivation components of the model. Four domains adapted from the socio-ecological model: individual, family life, community and healthcare provision, contextualised factors important for these women in terms of behaviour change. Emotional response at the individual level was highly motivating or demotivating. Factors related to family life and community were particularly dominant and had the potential to either facilitate or impede change. We found many participants relied on healthcare provision during the pre- and post-natal periods with timing and positive relationships key to good care. Conclusions: Our study provides further insight into the factors crucial for behaviour change in women diagnosed with GD. By innovatively applying the COM-B framework in a socio-ecological context it is clear intervention facets need to target micro- through to the macro-level to engage this population in behaviour change. Future work should consider family-level intervention as this could allow for sustained behaviour change and consequently prevent the development of T2DM

Measuring Data

We identify the task of measuring data to quantitatively characterize the composition of machine learning data and datasets. Similar to an object's height, width, and volume, data measurements quantify different attributes of data along common dimensions that support comparison. Several lines of research have proposed what we refer to as measurements, with differing terminology; we bring some of this work together, particularly in fields of computer vision and language, and build from it to motivate measuring data as a critical component of responsible AI development. Measuring data aids in systematically building and analyzing machine learning (ML) data towards specific goals and gaining better control of what modern ML systems will learn. We conclude with a discussion of the many avenues of future work, the limitations of data measurements, and how to leverage these measurement approaches in research and practice