Life-history calendars (LHCs) can produce retrospective data regarding numerous events, exposures, and sequences that have occurred across participants' lifespans. In this mixed-quantitative-and-qualitative-methods study, processes of LHC administration were evaluated in two populations experiencing health disparities: foreign-born agricultural workers (n = 41) and Indigenous people who used injection drugs (IPWIDS) (n = 40). LHC administrator and participant perspectives were elicited during follow-up survey activities. In both agricultural workers and IPWIDs, over half of participants reported that the LHC made it easier to remember things about the past, and participant age was associated with cumulative experience in different domains of interest. Qualitative findings suggested that data-collector training and the development of concise interview guides are critical for improving LHC data quality. Participants described ethical themes, including utilitarian, cathartic, and reflective aspects, of LHC participation. Future iterations of the LHC may benefit from providing free-form and open-ended spaces for participants to reflect on the LHC activity following LHC administration.
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http://dx.doi.org/10.3390/ijerph191912397 | DOI Listing |
Children (Basel)
November 2024
Service of Traumatology and Orthopaedics Surgery, Hospital 12 de Octubre, 28041 Madrid, Spain.
Pediatric elbow fractures are quite common, accounting for up to 34% of bone fractures in children. Among these, acute lateral humeral condyle (LHC) fractures represent up to 22%. The accurate diagnosis and early treatment of LHC fractures are crucial due to the potential for abnormal growth and significant long-term impacts on joint motion.
View Article and Find Full Text PDFBMC Neurol
January 2025
Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, School of Medicine, College of Medicine, National Sun Yat-Sen University, No. 123 Ta-Pei Road, Niao-Sung Dist, Kaohsiung, 83305, Taiwan.
Background And Purpose: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D Transformer-based model for white matter hyperintensities segmentation, focusing on their efficacy with limited datasets and similar computational resources.
Materials And Methods: We implemented a convolution-based model (3D ResNet-50 U-Net with spatial and channel squeeze & excitation) and a Transformer-based model (3D Swin Transformer with a convolutional stem).
Phys Rev Lett
December 2024
CERN, Geneva, Switzerland.
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
View Article and Find Full Text PDFEur Phys J C Part Fields
December 2024
Department of Physics and Astronomy, University College London, London, WC1E 6BT UK.
World J Gastroenterol
December 2024
School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
Background: Diagnosing laryngopharyngeal reflux (LPR) is challenging due to overlapping symptoms. While proton pump inhibitors (PPIs) are commonly prescribed, reliable predictors of their responsiveness are unclear. Reflux monitoring technologies like dual potential of hydrogen (pH) sensors and multichannel intraluminal impedance-pH (MII-pH) could improve diagnosis.
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