Exponentially accurate solution tracking for nonlinear ODEs, the higher order Stokes phenomenon and double transseries resummation

We demonstrate the conjunction of new exponential-asymptotic effects in the context of a second order nonlinear ordinary differential equation with a small parameter. First, we show how to use a hyperasymptotic, beyond-all-orders approach to seed a numerical solver of a nonlinear ordinary differential equation with sufficiently accurate initial data so as to track a specific solution in the presence of an attractor. Second, we demonstrate the necessary role of a higher order Stokes phenomenon in analytically tracking the transition between asymptotic behaviours in a heteroclinic solution. Third, we carry out a double resummation involving both subdominant and sub-subdominant transseries to achieve the two-dimensional (in terms of the arbitrary constants) uniform approximation that allows the exploration of the behaviour of a two parameter set of solutions across wide regions of the independent variable. This is the first time all three effects have been studied jointly in the context of an asymptotic treatment of a nonlinear ordinary differential equation with a parameter. This paper provides an exponential asymptotic algorithm for attacking such problems when they occur. The availability of explicit results would depend on the individual equation under study

The Fourteenth Data Release of the Sloan Digital Sky Survey : First Spectroscopic Data from the Extended Baryon Oscillation Spectroscopic Survey and from the Second Phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since 2014 July. This paper describes the second data release from this phase, and the 14th from SDSS overall (making this Data Release Fourteen or DR14). This release makes the data taken by SDSS-IV in its first two years of operation (2014-2016 July) public. Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey; the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data-driven machine-learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from the SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS web site (www.sdss.org) has been updated for this release and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020 and will be followed by SDSS-V.Peer reviewe

The Reality of Digital currency as a Financial Medium of Exchange

This paper presents a discussion of the requirements for the long term acceptance of digital currency as a financial medium of exchange through the examination of fundamental criteria associated with common tender and the examination of selected digital currencies. According to the U.S. Treasury, digital currencies are subject to regulation if that digital currency has a substitutive purpose for facilitating exchanging goods and services (Financial Crimes Enforcement Network, 2013). Although governments can place stipulations on currencies, users of common tender, such as digital currencies, expect at least three basic privileges for a digital currency to evolve from conception to realization. First, a digital currency must be considered intangible personal property similar to trademarks, copyrights, and patents. Second, ownership disputes must be subject to a system such as a Judicial Proceeding or Binding Arbitration to resolve property conflicts. Finally, a digital currency must be subject to similar regulatio

On the Role of Reflection and Digital Tool Design for Creative Practitioners

This position paper suggests that Creativity Support Tools (CSTs) could be designed for reflection to foster self-learning in creative user experiences. The authors suggest that a state where people continually apply reflection and conscious processing is likely conducive to supporting creative practitioners use of and self-learning of digital tools. This contrasts theories that encourage passive interaction which forgoes self-awareness cf. flow theory. To this end, two case studies from the first author’s PhD research are introduced: i) a questionnaire to differentiate between creative user experiences with more or less moments of reflection, and ii) a summary of the iterative design of a block-based CST to encourage moments of reflection in people’s generative music composition with AI. This research is then discussed in the context of the workshop themes

Social Media and its Impact on Therapeutic Relationships

In the current age of social media, the boundaries between the online and the offline, the personal and the professional, have become blurred and ambiguous. This poses significant challenges to the practice of psychoanalysis, which for a long time has been thought of as a technology‐free and private space. This paper compares how social media impacts therapeutic relationships in the broader field of psychotherapy and in psychoanalytic psychotherapy in particular. Direct breaches in therapist privacy were found to be more frequent with non‐psychoanalytic psychotherapists due to therapists’ higher online presence. Psychoanalytic psychotherapists, on the other hand, generally have a lesser online presence because of different views on therapeutic anonymity from other clinical orientations. The author suggests that this leads to different forms of virtual impingements: due to the absence of psychoanalytic therapists’ online presence, patients seek to re‐create therapists (and, by extension, therapeutic situations) on a virtual level rather than discover something that was already ‘put out there’ by therapists. Virtual manifestations of anonymity, splitting, and solipsistic introjection processes are discussed with reference to John Suler's concept of the online disinhibition effect. Further recommendations for research on social media impact are discussed

Managing loneliness: a qualitative study of older people’s views

© 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an accepted manuscript of the article published at https://doi.org/10.1080/13607863.2020.1729337Engaging with older people who self-identify as lonely may help professionals in mental health and other services understand how they deal with loneliness. The evidence-base for effective interventions to address loneliness is inconclusive. This study aimed to explore how community-dwelling lonely older people in England manage their experiences of loneliness. Twenty eight community-dwelling older people identifying as lonely, based on responses to two loneliness measures (self-report and a standardised instrument), participated in in-depth interviews between 2013 and 2014. Fifteen lived alone. Thematic analysis of transcribed interviews was conducted by a multidisciplinary team including older people.Participants drew on a range of strategies to ameliorate their distress which had been developed over their lives and shaped according to individual coping styles and contexts. Strategies included physical engagement with the world beyond their home, using technologies, planning, and engagement with purpose in an ‘outside world’, and acceptance, endurance, revealing and hiding, positive attitude and motivation, and distraction within an ‘inside world’. Strategies of interests and hobbies, comparative thinking, religion and spirituality and use of alcohol straddled both the inside and outside worlds. Participants conveyed a personal responsibility for managing feelings of loneliness rather than relying on others. This study includes the experiences of those living with loneliness whilst also living with other people. When developing policy and practice responses to loneliness it is important to listen attentively to the views of those who may not be engaging with services designed for ‘the lonely’ and to consider their own strategies for managing it.Peer reviewedFinal Accepted Versio

The comparative effectiveness and efficiency of cognitive behaviour therapy and generic counselling in the treatment of depression: evidence from the 2(nd) UK National Audit of psychological therapies.

BACKGROUND: Cognitive Behaviour Therapy (CBT) is the front-line psychological intervention for step 3 within UK psychological therapy services. Counselling is recommended only when other interventions have failed and its effectiveness has been questioned. METHOD: A secondary data analysis was conducted of data collected from 33,243 patients across 103 Improving Access to Psychological Therapies (IAPT) services as part of the second round of the National Audit of Psychological Therapies (NAPT). Initial analysis considered levels of pre-post therapy effect sizes (ESs) and reliable improvement (RI) and reliable and clinically significant improvement (RCSI). Multilevel modelling was used to model predictors of outcome, namely patient pre-post change on PHQ-9 scores at last therapy session. RESULTS: Counselling received more referrals from patients experiencing moderate to severe depression than CBT. For patients scoring above the clinical cut-off on the PHQ-9 at intake, the pre-post ES (95% CI) for CBT was 1.59 (1.58, 1.62) with 46.6% making RCSI criteria and for counselling the pre-post ES was 1.55 (1.52, 1.59) with 44.3% of patients meeting RCSI criteria. Multilevel modelling revealed a significant site effect of 1.8%, while therapy type was not a predictor of outcome. A significant interaction was found between the number of sessions attended and therapy type, with patients attending fewer sessions on average for counselling [M = 7.5 (5.54) sessions and a median (IQR) of 6 (3-10)] than CBT [M = 8.9 (6.34) sessions and a median (IQR) of 7 (4-12)]. Only where patients had 18 or 20 sessions was CBT significantly more effective than counselling, with recovery rates (95% CIs) of 62.2% (57.1, 66.9) and 62.4% (56.5, 68.0) respectively, compared with 44.4% (32.7, 56.6) and 42.6% (30.0, 55.9) for counselling. Counselling was significantly more effective at two sessions with a recovery rate of 34.9% (31.9, 37.9) compared with 22.2% (20.5, 24.0) for CBT. CONCLUSIONS: Outcomes for counselling and CBT in the treatment of depression were comparable. Research efforts should focus on factors other than therapy type that may influence outcomes, namely the inherent variability between services, and adopt multilevel modelling as the given analytic approach in order to capture the naturally nested nature of the implementation and delivery of psychological therapies. It is of concern that half of all patients, regardless of type of intervention, did not show reliable improvement

DMRN+17: Digital Music Research Network One-day Workshop 2022

DMRN+17: Digital Music Research Network One-day Workshop 2022 Queen Mary University of London - Tuesday 20th December 2022. The Digital Music Research Network (DMRN) aims to promote research in the area of Digital Music, by bringing together researchers from UK and overseas universities and industry for its annual workshop. The workshop will include invited and contributed talks and posters. The workshop will be an ideal opportunity for networking with other people working in the area. Keynote speakers: Sander Dieleman Tittle: On generative modelling and iterative refinement. Bio: Sander Dieleman is a Research Scientist at DeepMind in London, UK, where he has worked on the development of AlphaGo and WaveNet. He obtained his PhD from Ghent University in 2016, where he conducted research on feature learning and deep learning techniques for learning hierarchical representations of musical audio signals. His current research interests include representation learning and generative modelling of perceptual signals such as speech, music and visual data. DMRN+17 is sponsored by The UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM); a leading PhD research programme aimed at the Music/Audio Technology and Creative Industries, based at Queen Mary University of London

Novel insights into the aetiology of granulomatosis with polyangiitis—a case–control study using the Clinical Practice Research Datalink

Objectives We aimed to provide insights into the aetiology of granulomatosis with polyangiitis (GPA), by conducting a large case–control study using a general population-based, prospectively collected database of healthcare records. Methods We compared all incident cases of GPA in the Clinical Practice Research Datalink 1990–2014, with up to 10 age-, sex- and general practice-matched controls. We identified potential risk factors, recorded numbers of cases and controls exposed to each, and calculated odds ratios (ORs) using conditional logistic regression. Our main analysis excluded data recorded during 1 year before diagnosis, to prevent early symptoms being mistaken for risk factors. Results We identified 757 people with GPA and matched 7546 controls. People with GPA were five times more likely to have a previous diagnosis of bronchiectasis (OR = 5.1, 95% CI: 2.7, 9.4; P 5 years prior to diagnosis. People with GPA were two to three times more likely than controls to have previous diagnoses of autoimmune diseases or chronic renal impairment, and these effects also remained stable >5 years prior to diagnosis. People with GPA were more likely to have a diagnosis of pulmonary fibrosis (OR = 5.7, 95% CI: 1.7, 19.5; P = 0.01) and sinus infections (OR = 2.7, 95% CI: 1.8, 4.2; P < 0.0001) recorded in the 3 years before diagnosis, but not before this. We also found former smoking, some medications and higher socio-economic status significantly, but less strongly, associated. Conclusion We found novel long-term associations between GPA and pre-existing bronchiectasis and autoimmune diseases