The role, function and identity of music therapists in the 21st century, including new research and thinking from a UK perspective

This article examines the identity of music therapy and music therapists, focussing upon the United Kingdom as a case study, but also considering international trends. Milestones in the history of music therapy in postwar United Kingdom and professional development in the 21st century are discussed, drawing upon research and clinical practice. Research outcomes across different specialities indicate that music therapy should be widely available to many populations, such as for people with dementia, autism, stroke and mental health problems and so on. These advancements mean that music therapists need to be clear about their role and identity in both doing the work and communicating about it. The article celebrates advances in research, thinking and provision and emphasis collaboration across multidisciplinary groups through an overview of different identities

A Critical Look at the Notion of Selective Impairment

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Consistency, Variability, and Target Approximation for Successive Speech Repetitions Among Apraxic, Conduction Aphasic, and Ataxic Dysarthric Speakers

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Response to Justine Schneider’s article ‘Music therapy and dementia care practice in the United Kingdom: A British Association for Music Therapy membership survey’

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A Systematic Review of Music Therapy Practice and Outcomes with Acute Adult Psychiatric In-Patients

PMCID: PMC3732280This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Pain and mild cognitive impairment among adults aged 50 years and above residing in low- and middle-income countries

Background: Previous studies on the association between pain and cognitive decline or impairment have yielded mixed results, while studies from low- and middle-income countries (LMICs) or specifically on mild cognitive impairment (MCI) are scarce. Thus, we investigated the association between pain and MCI in LMICs and quantified the extent to which perceived stress, sleep/energy problems, and mobility limitations explain the pain/MCI relationship. Methods: Data analysis of cross-sectional data from six LMICs from the Study on Global Ageing and Adult Health (SAGE) were performed. MCI was based on the National Institute on Aging-Alzheimer's Association criteria. "Overall in the last 30 days, how much of bodily aches or pain did you have?” was the question utilized to assess pain. Associations were examined by multivariable logistic regression analysis and meta-analysis. Results: Data on 32,715 individuals aged 50 years and over were analysed [mean (SD) age 62.1 (15.6) years; 51.7% females]. In the overall sample, compared to no pain, mild, moderate, and severe/extreme pain were dose-dependently associated with 1.36 (95% CI = 1.18–1.55), 2.15 (95% CI = 1.77–2.62), and 3.01 (95% CI = 2.36–3.85) times higher odds for MCI, respectively. Mediation analysis showed that perceived stress, sleep/energy problems, and mobility limitations explained 10.4%, 30.6%, and 51.5% of the association between severe/extreme pain and MCI. Conclusions: Among middle-aged to older adults from six LMICs, pain was associated with MCI dose-dependently, and sleep problems and mobility limitations were identified as potential mediators. These findings raise the possibility of pain as a modifiable risk factor for developing MCI

Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

No embargo required.Segmenting audio into homogeneous sections such as music and speech helps us understand the content of audio. It is useful as a pre-processing step to index, store, and modify audio recordings, radio broadcasts and TV programmes. Deep learning models for segmentation are generally trained on copyrighted material, which cannot be shared. Annotating these datasets is time-consuming and expensive and therefore, it significantly slows down research progress. In this study, we present a novel procedure that artificially synthesises data that resembles radio signals. We replicate the workflow of a radio DJ in mixing audio and investigate parameters like fade curves and audio ducking. We trained a Convolutional Recurrent Neural Network (CRNN) on this synthesised data and outperformed state-of-the-art algorithms for music-speech detection. This paper demonstrates the data synthesis procedure as a highly effective technique to generate large training sets for deep neural networks

Family-centred music therapy with preterm infants and their parents in the Neonatal Intensive Care Unit (NICU) in Colombia – A mixed-methods study

This article reports a mixed-methods study of Music Therapy (MT) with preterm infants and their parents in a neonatal intensive care unit (NICU) in Colombia. The aim was to find out whether live MT during kangaroo care had an effect on the physiological outcomes of the neonates and would help parents to decrease their anxiety levels and improve parent–infant bonding. The participants were 36 medically stable neonates born between the 28th and 34th week of gestation and their parents. The quantitative data collection included heart rate, oxygen saturation, weight gain, length of hospitalization and re-hospitalization rate. The assessment measures for anxiety and bonding were the State-Trait Anxiety Inventory (STAI) and the Mother-to-Infant-Bonding Scale (MIBS). Thematic analysis was used to analyse the qualitative data collected with semi-structured interviews and questionnaires. The quantitative results showed statistically significant improvements in maternal state-anxiety (p = .007) and in the babies weight gain per day during the intervention period (p = .036). Positive trends were found regarding the babies’ length of hospitalization and re-hospitalization rate. Both parents improved their scores with the MIBS, but this was not statistically significant. The qualitative analysis showed that MT was important for parental well-being, for bonding and for fostering the development of the neonates. Interacting musically with their babies helped parents to experience feelings of connectedness and to distract themselves from their difficulties and from the noisy hospital environment

Designing for planned emergence in multi-agent systems

We present an approach for designing organization-oriented multi-agent systems (MASs) to allow improvisation at run time when agents are not available to exactly match the original organizational design structure. Working with system components from an existing MAS organizational meta-model, OJAzzIC, the approach sets out five stages for the design process. We illustrate the design approach with an incident response scenario implemented in the Blocks World for Teams (BW4T) environment, and show how agents at runtime can improvise- for example they can adopt tasks even if those tasks do not precisely match a predefined role. © Springer International Publishing Switzerland 2015

A Search for Dark Higgs Bosons

Recent astrophysical and terrestrial experiments have motivated the proposal of a dark sector with GeV-scale gauge boson force carriers and new Higgs bosons. We present a search for a dark Higgs boson using 516 fb-1 of data collected with the BABAR detector. We do not observe a significant signal and we set 90% confidence level upper limits on the product of the Standard Model-dark sector mixing angle and the dark sector coupling constant.Comment: 7 pages, 5 postscript figures, published version with improved plots for b/w printin