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http://dx.doi.org/10.1007/s10803-021-04888-y | DOI Listing |
Front Psychol
January 2025
Department of Psychology, University of Turin, Turin, Italy.
[This corrects the article DOI: 10.3389/fpsyg.2022.
View Article and Find Full Text PDFBMC Nurs
January 2025
Centro de Investigação, Inovação e Desenvolvimento em Enfermagem de Lisboa, Egas Moniz School of Health&Science, Lisboa, Portugal.
Background: The highly technological environment existing in intensive care units, essential for the survival of the newborn, contributes with a potentially devastating and traumatic effect, especially in preterm newborns and in their future lives, due to the early and frequent exposure to multiple stressors. The preterm newborn must be observed in a systematic and structured way, before, during and after any intervention, aiming at the correct assessment and interpretation of his behaviour and signs of stress, and at the timely planning of interventions that minimize and prevent stress. The objective of this review is to identify and map the instruments for assessing stress in preterm newborns admitted to neonatal units in scientific evidence.
View Article and Find Full Text PDFBehav Res Methods
January 2025
School of Psychology, University of New South Wales, Sydney, Australia.
With recent technical advances, many cognitive and sensory tasks have been adapted for smartphone testing. This study aimed to assess the criterion validity of a subset of self-administered, open-source app-based cognitive and sensory tasks by comparing test performance to lab-based alternatives. An in-person baseline was completed by 43 participants (aged 21 to 82) from the larger Labs without Walls project (Brady et al.
View Article and Find Full Text PDFBMJ Open
January 2025
Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Objective: To evaluate the feasibility of implementing family-integrated newborn care (FINC) for hospitalised preterm and low birthweight infants in Ethiopia. Despite the WHO's call for family engagement in newborn care, evidence of the feasibility of implementation remains scarce.
Design: An observational feasibility study employing a mixed-methods design comprising a quantitative cross-sectional survey among 157 healthcare providers (HCPs) and a qualitative Participatory Rural Appraisal.
Phys Med Biol
January 2025
Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Room 3209, CBIS/BME, 110 8th Street, Troy, NY 12180, USA, Troy, 12180, UNITED STATES.
We strive to overcome the challenges posed by ring artifacts in X-ray computed tomography (CT) by developing a novel approach for generating training data for deep learning-based methods. Training such networks require large, high quality, datasets that are often generated in the data domain, time-consuming and expensive. Our objective is to develop a technique for synthesizing realistic ring artifacts directly in the image domain, enabling scalable production of training data without relying on specific imaging system physics.
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