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Embedding Specialised Educators in Modalities for Continuing Medical Education. A Study of Effectiveness, and Health Care Practitioner and Educator Preferences.
Clin Teach
February 2025
Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Introduction: As the delivery of continuing medical education moves towards digital modes, determining how to embed and capitalise on the skills of specialised educators in digital modalities is critical. Drawing on social theories of adult learning and behaviour change, this study trialled multiple delivery modes of education about reproductive genetic 'carrier screening' with varying levels of specialised educator (genetic counsellors) input to examine clinical effectiveness, and health care practitioners and educator preferences.
Methods: A subset of health care practitioners (n = 209) interested in offering carrier screening through a large study were randomly allocated to receive education via face-to-face, a pre-recorded video or an online module, with active or passive educator input.
Dynamic analysis and optimal control of competitive information dissemination model.
Sci Rep
December 2024
School of Science, University of Science and Technology Liaoning, Anshan, 114051, China.
Information dissemination is vital to human production and life. Identifying and analyzing the modes and mechanisms of information dissemination under different conditions is conducive to playing the role of positive information and reducing the impact of negative information. Considering that multiple pieces of information coexist and conflict with each other, in this paper, a competitive information dissemination model is established and the proposed system is analyzed.
View Article and Find Full Text PDFFailure analysis and size optimization of CFRP composite single-lap bonded joints based on the influence of multiple parameters.
Sci Rep
December 2024
College of Aerospace Engineering, Shenyang Aerospace University, Shenyang, 110136, China.
This paper had conducted tensile shear tests on single-lap joints (SLJs)bonded structures of carbon fiber reinforced resin matrix (CFRP) composite laminates with different overlap lengths, overlap widths, overlap model, adherend material, and adhesive layer thicknesses under two environments: room temperature dry state (RTD) and elevated temperature wet state (ETW). The failure modes were observed, and load-displacement curves were obtained. The microscopic morphology of the fracture surface was observed by scanning electron microscope (SEM).
View Article and Find Full Text PDFAalto Gear Fault datasets for deep-learning based diagnosis.
Data Brief
December 2024
Department of Mechanical Engineering, Aalto University, Espoo, Finland.
Accurate system health state prediction through deep learning requires extensive and varied data. However, real-world data scarcity poses a challenge for developing robust fault diagnosis models. This study introduces two extensive datasets, Aalto Shim Dataset and Aalto Gear Fault Dataset, collected under controlled laboratory conditions, aimed at advancing deep learning-based fault diagnosis.
View Article and Find Full Text PDFFrom the depths of the Java Trench: genomic analysis of Priestia flexa JT4 reveals bioprospecting and lycopene production potential.
BMC Genomics
December 2024
Institut Teknologi Bandung, School of Life Sciences and Technology, Bandung, West Java, Indonesia.
Background: The marine environment boasts distinctive physical, chemical, and biological characteristics. While numerous studies have delved into the microbial ecology and biological potential of the marine environment, exploration of genetically encoded, deep-sea sourced secondary metabolites remains scarce. This study endeavors to investigate marine bioproducts derived from deep-sea water samples at a depth of 1,000 m in the Java Trench, Indonesia, utilizing both culture-dependent and whole-genome sequencing methods.
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