The Spherical Tokamak for Energy Production (STEP) programme is a world-leading fusion power plant programme that has embedded a cost conscience in its design from the early phases. This firmly addresses the attitude of cost complacency of which many major infrastructure projects have historically been accused. While a detailed and highly accurate whole life cycle cost analysis is not possible, or even valuable, during the conceptual design stage, this early design phase is still the most critical programme phase where a focus on costs can drive longer term reductions and impact whole life cycle costs at the high level. Consequently, appropriate estimating methods for these early-stage designs and lessons learned from other industries are used to inform design decisions and ensure cost is part of the overall option analysis. Hence, while the overall programme cost estimate is too immature to be a reliable indicator for the final programme costs, significant effort has been undertaken to understand the major cost drivers and take action to make the STEP design as cost-effective as possible. This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.
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http://dx.doi.org/10.1098/rsta.2023.0413 | DOI Listing |
BMC Emerg Med
January 2025
Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Background: Globally, healthcare institutions have seen a marked rise in workplace violence (WPV), especially since the Covid-19 pandemic began, affecting primarily acute care and emergency departments (EDs). At the University Health Network (UHN) in Toronto, Canada, WPV incidents in EDs jumped 169% from 0.43 to 1.
View Article and Find Full Text PDFNurse Educ Pract
January 2025
Xiangya School of Nursing, Central South University, 172 Tongzipo Road, Changsha, Hunan 410013, China; Xiangya Research Center of Evidence-based Healthcare, Central South University, 172 Tongzipo Road, Changsha, Hunan, 410013, China.; Xiangya Center for Evidence-Based Nursing Practice & Healthcare Innovation: A JBI Centre of Excellence, 172 Tongzipo Road, Changsha, Hunan 410013, China. Electronic address:
Aim: To determine what intervention strategies have been used in interventions aimed at improving the patient health education competence of nursing personnel.
Background: There is a growing body of research on educational interventions for improving nursing personnel's patient health education competence, but there are significant differences in the teaching objectives, content and methods of these studies, as well as a lack of standardized educational strategies.
Design: The scoping review was based on the Joanna Briggs Institute methodology.
J Natl Cancer Inst
January 2025
Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Childhood cancers are a heterogeneous group of rare diseases, accounting for less than 2% of all cancers diagnosed worldwide. Most countries, therefore, do not have enough cases to provide robust information on epidemiology, treatment, and late effects, especially for rarer types of cancer. Thus, only through a concerted effort to share data internationally will we be able to answer research questions that could not otherwise be answered.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Background: The health benefits of physical activity, including walking, are well-established, but the relationship between daily step count and mortality in hypertensive populations remains underexplored. This study investigates the association between daily step count and both all-cause and cardiovascular mortality in hypertensive American adults.
Methods: We used data from the National Health and Nutrition Examination Survey 2005-2006, including 1,629 hypertensive participants with accelerometer-measured step counts.
Sci Rep
January 2025
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures. This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method.
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