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| http://dx.doi.org/10.1098/rsos.170461 | DOI Listing |
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Experiences of perinatal genetic screening for people from migrant and refugee backgrounds: a scoping review.
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January 2025
Murdoch Children's Research Institute, Melbourne, VIC, Australia.
People from refugee and migrant backgrounds often face poor experiences and outcomes in healthcare, and genetic healthcare is no exception. Understanding whether and how these health inequities manifest is an important step towards equitable perinatal genetic screening for genetic or chromosomal conditions (offered preconception, prenatally, or during the newborn period). A scoping review was conducted to review international evidence of perceptions and experiences of perinatal genetic screening for people from migrant and refugee backgrounds.
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Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA.
This study used Raman and near-infrared (NIR) spectroscopy to monitor small real-time changes in powder blends and tablets in low-dose pharmaceutical formulations. The research aims to enhance process analytical technology (PAT) in pharmaceutical manufacturing, ensuring high-quality and uniform products with applications to produce drugs with narrow therapeutic indices (NTI). The study utilizes Raman and NIR spatially resolved spectroscopy (SRS) techniques to monitor a moderate cohesive material's active pharmaceutical ingredient (API) concentrations during manufacturing.
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National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
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School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Spiking Neural Networks (SNNs) are at the forefront of computational neuroscience, emulating the nuanced dynamics of biological systems. In the realm of SNN training methods, the conversion from ANNs to SNNs has generated significant interest due to its potential for creating energy-efficient and biologically plausible models. However, existing conversion methods often require long time-steps to ensure that the converted SNNs achieve performance comparable to the original ANNs.
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