The "Atlas of caesium deposition on Europe after the Chernobyl accident" was prepared within the framework of the Joint Study Project 6 (JSP6) of the collaborative programme on the consequences of the Chernobyl accident between the European Commission and the Ministries responsible for Chernobyl affairs in Belarus, Russia and Ukraine. The radiological data provided by scientific institutes and competent authorities of more than 30 European countries were integrated into an information platform. Data validation and intercomparison were therefore essential before the interpretation of the deposition with the help of isoline maps prepared with a geographic information system (GIS) could be done. The data validation was a two-step procedure: after performing a primary logical consistency check, other techniques based on spatial statistics were used to outline uncertain data. The purpose of this paper is to present these validation methods and to discuss the advantages and constraints of these techniques. Rather than trying to improve the techniques of spatial data analysis, suggestions are made on how an adaptation of the sampling information could improve the final result.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0265-931x(00)00136-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients.
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFIdentification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.
Lung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperimental Study.
J Med Internet Res
January 2025
Department of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.
Background: Chronic kidney disease (CKD) imposes a significant global health and economic burden, impacting millions globally. Despite its high prevalence, public awareness and understanding of CKD remain limited, leading to delayed diagnosis and suboptimal management. Traditional patient education methods, such as 1-on-1 verbal instruction or printed brochures, are often insufficient, especially considering the shortage of nursing staff.
View Article and Find Full Text PDFTargeted Next-Generation Sequencing of Cell-Free DNA to Detect -Immunoglobulin Translocation and Epstein-Barr Virus DNA in Plasma of Burkitt Lymphoma Patients in East Africa.
JCO Glob Oncol
January 2025
University of Oxford, Oxford, United Kingdom.
Purpose: Epstein-Barr virus (EBV)-positive Burkitt lymphoma (BL) affects children in sub-Saharan Africa, but diagnosis via tissue biopsy is challenging. We explored a liquid biopsy approach using targeted next-generation sequencing to detect the -immunoglobulin (-Ig) translocation and EBV DNA, assessing its potential for minimally invasive BL diagnosis.
Materials And Methods: The panel included targets for the characteristic -Ig translocation, mutations in intron 1 of , mutations in exon 2 of , and three EBV genes: EBV-encoded RNA (EBER)1, EBER2, and EBV nuclear antigen 2.
Does Merit-based Incentive Payment System Performance Differ Based on Orthopaedic Surgeon Gender?
Clin Orthop Relat Res
December 2024
Department of Orthopedic Surgery, Mayo Clinic, Phoenix, AZ, USA.
Background: Value-based care payment and delivery models such as the recently implemented Merit-based Incentive Payment System (MIPS) aim to both provide better care for patients and reduce costs of care. Gender disparities across orthopaedic surgery, encompassing reimbursement, industry payments, referrals, and patient perception, have been thoroughly studied over the years, with numerous disparities identified. However, differences in MIPS performance based on orthopaedic surgeon gender have not been comprehensively evaluated.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!