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Experimental paradigm to test the effects of providing social support: study protocol of the PROSPECT trial (Study 2).
BMC Psychol
January 2025
Department of Psychology, MSB Medical School Berlin, Rüdesheimer Str. 50, Berlin, 14197, Germany.
Background: A growing body of research suggests that the provision of social support can have benefits not only for the recipients but also for the provider. Although initial evidence for affective, self-evaluative and physiological outcomes has been established, the beneficial effects of support provision do not occur consistently across all support interactions, and some interactions may even have detrimental effects on providers. The aim of our experimental paradigm is to enable researchers to test the conditions under which the provision of social support to dyadic partners affects affective, self-evaluative, physiological, and relationship outcomes for the provider.
View Article and Find Full Text PDFReformulating the meta-analytical random effects model of the standardized mean difference as a mixture model.
Behav Res Methods
January 2025
Universidad a Distancia de Madrid, Madrid, Spain.
The classical meta-analytical random effects model (REM) has some weaknesses when applied to the standardized mean difference, g. Essentially, the variance of the studies involved is taken as the conditional variance, given a δ value, instead of the unconditional variance. As a consequence, the estimators of the variances involve a dependency between the g values and their variances that distorts the estimates.
View Article and Find Full Text PDFThe Potential of Poetry in Mental Health Nurse Pre-registration Education.
Int J Ment Health Nurs
February 2025
School of Health Sciences, University of Nottingham, Nottingham, UK.
This paper examines the potential of poetry as a resource within mental health nurse pre-registration education. There has long been a debate as to whether the art or the science of nursing should be foregrounded within pre-registration education, especially in the UK within recent years as the latest Nursing and Midwifery Council's standards of pre-registration education appear to have shifted the focus towards the acquisition of skills, giving less consideration to the holistic transformatory process of education. The paper uses the conceptualisation of education by Beista, who proposes that education can be considered in relation to the three domains of qualification, socialisation and subjectification.
View Article and Find Full Text PDFAssessing the balance between excitation and inhibition in chronic pain through the aperiodic component of EEG.
Elife
January 2025
Department of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Chronic pain is a prevalent and debilitating condition whose neural mechanisms are incompletely understood. An imbalance of cerebral excitation and inhibition (E/I), particularly in the medial prefrontal cortex (mPFC), is believed to represent a crucial mechanism in the development and maintenance of chronic pain. Thus, identifying a non-invasive, scalable marker of E/I could provide valuable insights into the neural mechanisms of chronic pain and aid in developing clinically useful biomarkers.
View Article and Find Full Text PDF3d freehand ultrasound reconstruction by reference-based point cloud registration.
Int J Comput Assist Radiol Surg
January 2025
Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.
Purpose: This study aims to address the challenging estimation of trajectories from freehand ultrasound examinations by means of registration of automatically generated surface points. Current approaches to inter-sweep point cloud registration can be improved by incorporating heatmap predictions, but practical challenges such as label-sparsity or only partially overlapping coverage of target structures arise when applying realistic examination conditions.
Methods: We propose a pipeline comprising three stages: (1) Utilizing a Free Point Transformer for coarse pre-registration, (2) Introducing HeatReg for further refinement using support point clouds, and (3) Employing instance optimization to enhance predicted displacements.
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