Category / Featured academics

INRC seminar by Dr Jie Sui, Friday the 8th of September at 14.00 h, Share Lecture Theatre (Fusion).

We want to draw your attention to a seminar organized by the Interdisciplinary Neuroscience Research Centre on Friday, the 8th of September, from 14:00 h to 15:00 h at the Share Lecture Theatre (Fusion Building). There will be a networking event after the talk with coffee and biscuits.

Our guest speaker is Dr. Jie Sui (University of Aberdeen), invited by Dr. Ellen Seiss. Prof Dr Sui is renowned for her studies investigating the unique self, self-representation, and social interactions in VR. Her research combines multiple neural recording modalities, such as EEG and fMRI, with computational modelling.

The title of this exciting talk is: “Understanding the Self: Prospects for Translation”. Please find the abstract below.

We warmly invite you to attend this seminar.

Kind regards,

Ellen and Emili, on behalf of all of us.

Abstract:

“An understanding of the self helps explain not only human thoughts, feelings, and attitudes but also many aspects of everyday behaviours. This talk focuses on a particular perspective on self-processes. This perspective highlights the dynamics of the self that best connects with the development of the self over time and its realist orientation. We are using psychological experiments and data mining to comprehend the stability and flexibility of the self in different populations.

In this talk, I integrate experimental psychology, associative learning theory, computational neuroscience, and machine learning approaches to demonstrate why and how self-association affects cognition and how it is modulated by various social experiences and situational factors.”

An Appreciate Inquiry into NHS Maternity Services

 

 

Congratulation to Dr. Rachel Arnold and her Centre for Midwifery & Women’s Health research team on the publication yesterday of their paper ‘I might have cried in the changing room, but I still went to work’. Maternity staff balancing roles, responsibilities, and emotions of work and home during COVID-19: An appreciative inquiry [1].   This paper focuses on how to support staff and enhance their well-being in a small UK maternity service.  The underpinning methodological approach is appreciative inquiry using interviews with 39 maternity staff and four group discussions exploring meaningful experiences, values and factors that helped their well-being.

The key findings are that maternity staff members were highly motivated, managing a complex melee of emotions and responsibilities including challenges to professional confidence, mental health, family situation, and conflict between work-life roles. Despite staff shortages, a demanding workload, professional and personal turmoil, and the pandemic participants still found meaning in their work and relationships.  The authors go on to argue for a ‘whole person’ approach, since this approach provided insight into the multiple stressors and emotional demands staff faced. It also revealed staff resourcefulness in managing their professional and personal roles. They invested in relationships with women but were also aware of their limits – the need to be self-caring, employ strategies to switch-off, set boundaries or keep a protective distance.  Overall, the paper concludes hat staff’s well-being initiatives, and research into well-being, would benefit from adopting a holistic approach that incorporates home and family with work. Research on emotion regulation strategies could provide insights into managing roles, responsibilities, and the emotional demands of working in maternity services. Emotion regulation strategies could be included in midwifery and obstetric training.

This paper was proceeded by a more methodological paper on the application of Appreciative Inquiry in this study [2].

 

References:

  1. Arnold, R., Way, S., Mahato, P., van Teijlingen, E. (2023) “I might have cried in the changing room, but I still went to work”. Maternity staff managing roles, responsibilities, and emotions of work and home during COVID-19: an Appreciative Inquiry, Women & Birth (online first) 
  2. Arnold, R., Gordon, C., Way, S., Mahato, P., van Teijlingen, E. (2022) Why use Appreciative Inquiry? Lessons learned during COVID-19 in a UK maternity service, European Journal of Midwifery 6 (May): 1-7.

The Journal of Asian Midwives’ 10th anniversary

This week the Journal of Asian Midwives published its latest issue.  Celebrating a decade of publishing, this is the first issue of volume 10.  The journal is Open Access and freely available online for anybody who wants to read it (click here!).  In the editorial of this new issue the editors highlighted online events around the International Day of the Midwife, the ICM (International Confederation of Midwives) Triennial Congress in Bali, Indonesia in June, and the acceptance of the Journal of Asian Midwives by SCOPUS [1].  The editorial finishes by highlighting new additions to the journal, including the opportunity to submit short research proposals, or proposals for improvement in service or practice, blogs and from the next issue onwards, short view point articles.

 

Reference:

  1. van Teijlingen, E., Jan, R., Mubeen, K., Musaddique, A. (2023) Editorial – summer 2023. Journal of Asian Midwives, 10(1): 1–3.

Sociology journal seeks second book review editor

The British Sociological Society’s (BSA) journal Sociological Research Online is seeking a new second book review editor.  All Editors, including the book review editor, have to be BSA members throughout their term of office and previous engagement with the BSA is desirable.  The term of office is three years with the possibility of an extension, starting mid-November 2023.  The deadline for applications is 11th October 2013.

Sociological Research Online is published by the international social science publishing house SAGE.  The editorial team has just been informed this week that the Impact Factor of the journal has increased to 1.6.

Interested candidates should submit a pro forma application of no more than 2 pages and a short CV. To receive a pro forma application, please contact Selina Hisir, BSA
Publications Coordinator, at email:  sro.journal@britsoc.org.uk

As current book review editor I am very happy to talk to interested sociologists informally.

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health

Email:   evteijlingen@bournemouth.ac.uk

BU and University of Cambridge Collaboration on Traffic Prediction

Bournemouth University (BU) has collaborated with the University of Cambridge on network wide road traffic prediction. The work, led by Dr. Wei Koong Chai in BU, address the problem of traffic prediction on large-scale road networks and propose a novel deep learning model, Virtual Dynamic Graph Convolution Neural Network and Transformer with Gate and Attention mechanisms (VDGCNeT), to comprehensively extract complex, dynamic and hidden spatial dependencies of road networks for achieving high prediction accuracy. The work advocates the use of a virtual dynamic road graph that captures the dynamic and hidden spatial dependencies of road segments in real road networks instead of purely relying on the physical road connectivity.

The team designed a novel framework based on Graph Convolution Neural Network (GCN) and Transformer to analyse dynamic and hidden spatial–temporal features. The gate mechanism is utilised for concatenating learned spatial and temporal features from Spatial and Temporal Transformers, respectively, while the Attention-based Similarity is used to update dynamic road graph.

Two real-world traffic datasets from large-scale road networks with different properties are used for training and testing the model. VDGCNeT is pitted against nine other well-known models in the literature. The results demonstrate that the proposed VDGCNeT is capable of achieving highly accurate predictions – on average 96.77% and 91.68% accuracy on PEMS-BAY and METR-LA datasets respectively. Overall, our VDGCNeT performs the best when compared against other existing models.

Reference:

G. Zheng, W. K. Chai, J. Zhang and V. Katos, “VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model,” Knowledge-based Systems, 110676, June 2023. DOI: https://doi.org/10.1016/j.knosys.2023.110676.

Using participatory asset mapping and PhotoVoice in Nepalese alcohol study

This week we received an email from the editorial office of  Perspectives in Public Health with congratulations on the acceptance of your paper ‘Participatory asset mapping and photovoice interviews to scope cultural and community resources to reduce alcohol harm in Chitwan, Nepal’ [1]The lead researcher on this public health alcohol research project in Nepal is Dr. Ranjita Dhital, Lecturer in Interdisciplinary Health Studies in the Arts and Sciences Department at UCL (University College London).

The World Health Organization (WHO) suggests that in low and middle-income countries (LMICs) like Nepal, morbidity and mortality risks are greater per litre of pure alcohol consumed than in higher-income countries. This is largely due to poverty, poor nutrition, adverse living conditions, and poor access to care. These inequities are made worse by the dearth of understanding of the most appropriate and cost-effective approaches to reduce alcohol-related harm in LMICs.  Our study aims to stimulate new thinking on how cultural and community assets could be integrated to co-designed alcohol interventions for future evaluation in LMICs, through scoping the breadth of cultural and community assets in relation to alcohol use and to exploring attitudes towards alcohol and people experiences with it.

The journal Perspectives in Public Health is published by SAGE and the paper will be Open Access when it appears online.  My previous alcohol studies have focused on students [2], Nepalese migrants living in the UK [3], and Public Health measures to reduced alcohol misuse in Scotland [4].

 

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health

 

Reference:

 

  1. Dhital, R., Yoeli, H., Adhikari, A., Luitel, N.P., Nadkarni, A., van Teijlingen, E., Sin, J. (2023) Participatory asset mapping and photovoice interviews to scope cultural and community resources to reduce alcohol harm in Chitwan, Nepal, Perspectives in Public Health (accepted).  DOI: 10.1177/17579139231180744).
  2. Engs, R.C, van Teijlingen E (1997) Correlates of alcohol, tobacco & marijuana use among Scottish post-secondary helping profession students, Journal of Alcohol Studies, 58:435-44.
  3. van Teijlingen E, Simkhada, P., Adhikary, P. (2009) Alcohol use among the Nepalese in the UK BMJ Rapid Response: bmj.com/cgi/eletters/339/oct20_1/b4028#223451
  4. Ludbrook A, Godfrey C, Wyness L, Parrott S, Haw S, Napper M, van Teijlingen E. (2002) Effective & Cost-Effective Measures to Reduce Alcohol Misuse in Scotland: Lit Review, ISBN: 0755932803 www.alcoholinformation.isdscotland.org/alcohol_misuse/files/MeasureReduce_Full.pdf