Recruitment and retention of doctors is a priority for the Irish healthcare service, with many leaving to work in regions with more favourable conditions. Aligning flexible training options with other jurisdictions may be an effective means of improving working conditions. We sought to assess possible improvements to the existing system and to review barriers to flexible training. We carried out a survey using 'Survey Monkey' and disseminated it to 1557 basic specialist (BST) and higher specialist trainee (HST) doctors of the Institute of Medicine, 3500 members of the Irish Medical Organisation (IMO), and across social media. There were 854 respondents; 303 (35.5%) BST, 352 (41.2%) HST, 125 (14.6%) non-training doctors, unknown, n = 74. The response rate was approximately 15-23%. Non-consultant doctors identified a preference for access to flexible training (n = 849, 99.4%), with 82.2 of doctors reporting that they would consider applying (n = 702). Most (92.4%) considered the current provision of 16 whole-time equivalent positions as inadequate (n = 789). Of doctors who would not apply for flexible training, themes identified included a perceived negative impact on their career, not meeting eligibility criteria, prolonged training, and salary implications. Suggestions for improving the system included expanding the number of places available, removing eligibility criteria, job sharing options, and the provision of regional training schemes. Access to flexible training should be a priority for the healthcare service, which may enhance recruitment and retention. A majority of our sample of non-consultant doctors identified a preference for access to flexible training options.
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http://dx.doi.org/10.1007/s11845-022-03119-2 | DOI Listing |
J Phys Chem Lett
December 2024
Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350116, China.
The rise of big data and the internet of things has driven the demand for multimodal sensing and high-efficiency low-latency processing. Inspired by the human sensory system, we present a multifunctional optoelectronic-memristor-based reservoir computing (OM-RC) system by utilizing a CuSCN/PbS quantum dots (QDs) heterojunction. The OM-RC system exhibits volatile and nonlinear responses to electrical signals and wide-spectrum optical stimuli covering ultraviolet, visible, and near-infrared (NIR) regions, enabling multitask processing of dynamic signals.
View Article and Find Full Text PDFChemistry
December 2024
Hebei University, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of the Ministry of Education, Key Laboratory of Chemical Biology of Hebei Province, College of Chemistry and Materials Science,, CHINA.
Flexible film in display requires multi-functional integration, such as stretchability, flexibility, abrasion resistance, transparency, and shape memory. In this paper, a reasonable design strategy of flexible polyacrylate (PA) film with high transparency, shape memory, excellent abrasion resistance and foldability is presented. The PA films are prepared by free radical polymerization of vinyl-terminated polyurethane (PU) prepolymer as a cross-linking agent and acrylate monomers in ultraviolet (UV) light.
View Article and Find Full Text PDFSupport Care Cancer
December 2024
Physical Therapy Program, Medical Science Campus, University of Puerto Rico, P.O. Box 365967, San Juan, Puerto Rico, 00936-5067, USA.
Purpose: Compare the effects of low-intensity and moderate-intensity exercise on physical functioning in breast cancer survivors.
Methods: Women aged 50 + years and post-primary treatment for stage 0 to III breast cancer were randomly assigned to a 6-month low-intensity (LIG) or moderate-intensity (MIG) exercise group. Participants were instructed to walk (low- or moderate-intensity) for 30 min five days a week, followed by flexibility exercises, and do strengthening and balance exercises twice weekly.
J Phys Chem B
December 2024
Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.
This study addresses a critical gap in the existing literature on carbon dioxide and ionic liquid (IL) mixtures, where fragmented and incomplete data, particularly for flow properties, hinder practical applications. Therefore, this work aimed to establish a robust and efficient method for predicting the density of the CO-IL mixtures across diverse operating conditions and IL families using novel validation techniques. Both linear and symbolic regression models provided relevant insights but failed to accurately capture the IL-CO interactions in a mixture that determine the molar volume of CO at infinite dilution when solubilized by a given IL.
View Article and Find Full Text PDFMagnetic resonance imaging (MRI) is commonly used in healthcare for its ability to generate diverse tissue contrasts without ionizing radiation. However, this flexibility complicates downstream analysis, as computational tools are often tailored to specific MRI types and lack generalizability across the full spectrum of scans used in healthcare. Here, we introduce a versatile framework for the development and validation of pan-contrast AI models that can exhaustively cater to the full spectrum of scans achievable with MRI, enabling model deployment across scanner models, scan types, and age groups.
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