In 2017, a new revision of the ISO/IEC 17025 standard was issued. One of the important changes is that the uncertainty arising from sampling has to be evaluated. Based on this new requirement, we evaluated the contribution of the sampling procedure to the total uncertainty budget of the high-resolution gamma-ray spectrometry of environmental soil, tap water and aerosol filter samples. We performed statistical analyses of measurements of sets of samples taken from the same target in the same general time period. The determination of sampling uncertainty was based on the evaluation of the standard deviation of the set of measurement results and the combined uncertainty budget of sample preparation and analysis. When the spatial and temporal heterogeneities are low, the sampling uncertainty is estimated to be around 5% (k = 1) for soil samples and 30-40% (k = 1) for air samples. For single tap water samples collected consecutively, sampling uncertainty does not have a significant contribution to the complete uncertainty budget.
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http://dx.doi.org/10.1016/j.apradiso.2019.108978 | DOI Listing |
Front Artif Intell
January 2025
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Introduction: Active learning can significantly decrease the labeling cost of deep learning workflows by prioritizing the limited labeling budget to high-impact data points that have the highest positive impact on model accuracy. Active learning is especially useful for semantic segmentation tasks where we can selectively label only a few high-impact regions within these high-impact images. Most established regional active learning algorithms deploy a static-budget querying strategy where a fixed percentage of regions are queried in each image.
View Article and Find Full Text PDFSci Rep
January 2025
School of Business Administration, Liaoning Technical University, Huludao, 125105, People's Republic of China.
Under the backdrop of frequent emergencies, the rational layout of emergency service facilities (ESF) and the effective allocation of emergency supplies have emerged as crucial in determining the timeliness of post-disaster response. By adequately accounting for potential uncertainties and carrying out comprehensive pre-planning, the robustness of location-allocation decisions can be significantly improved. This paper delves into the ESF network design problem under demand uncertainty and formulates this problem as a two-stage robust optimization model.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA.
Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.
View Article and Find Full Text PDFBMJ Public Health
July 2024
Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Introduction: There is a growing emphasis on improving primary health care services and granting frontline service providers more decision-making autonomy. In October 2023, Kenya enacted legislation mandating nationwide facility autonomy. There is limited understanding of the effects of health facility autonomy on primary health care (PHC) facilities performance.
View Article and Find Full Text PDFExpert Rev Pharmacoecon Outcomes Res
January 2025
Agency for Care Effectiveness, Ministry of Health, Singapore.
Objective: To evaluate the cost-effectiveness of trastuzumab emtansine (T-DM1) compared to both lapatinib plus capecitabine (lapcap) and trastuzumab plus capecitabine (trascap) for treating human epidermal growth factor 2-positive advanced breast cancer patients, who have received prior treatment with trastuzumab and a taxane, in Singapore.
Research Design And Methods: A three-state partitioned survival model was used to evaluate the cost-effectiveness from the local healthcare system perspective. Key effectiveness data, including progression-free survival and overall survival from the pivotal EMILIA trial, were used alongside local clinician inputs.
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