Introduction: Today, a growing need exists for greater research into cancer survivorship, focusing on different spheres of the day-to-day life of diagnosed patients. This article describes the design and implementation of VICAN (VIe après le CANcer), a national survey on French cancer survivors.
Method And Analysis: The target population included patients aged 18-82, diagnosed with cancer between January and June 2010, and registered in one of the three main French Health Insurance Schemes. It was restricted to 12 tumour sites. Sampling was stratified using a non-proportional allocation, based on age at diagnosis (18-52 and 53-82) and tumour site. Data were collected from telephone interviews with patients 2 and 5 years after diagnosis, a medical survey completed by the physician who initiated cancer treatment, and information from the national medicoadministrative database on reimbursement data and hospital discharge records. First data collection, 2 years after diagnosis, occurred between March and December 2012. Second data collection, 5 years after diagnosis, will be conducted in 2015. Analyses will be conducted on various outcomes: quality of life, health status and psychosocial conditions, with a particular focus on the impact of cancer diagnosis on the labour market. The variety of measurements included in the survey will enable us to control a wide range of factors.
Ethics And Dissemination: The methodology of the VICAN survey was approved by three national ethics commissions. Results of the study will be disseminated through national and international research conferences, and in articles published in international peer-reviewed journals.
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http://dx.doi.org/10.1136/bmjopen-2014-005971 | DOI Listing |
Food Chem
January 2025
Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China; Key Laboratory of Food Authenticity Identification, State Administration for Market Regulation, Beijing 100176, PR China.
This study investigated the oxidative degradation of lipids in soybean oil used for frying French fries (SOFFF) and chicken breast meat (SOFCBM) using integrated volatolomics and oxidative lipidomics. Water in the food matrix promotes triglyceride hydrolysis. The rate of lipid hydrolysis was higher in SOFCBM, whereas the rate of lipid oxidation was higher in SOFFF.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Food Science and Engineering, Hainan University, Haikou 570228 PR China; Hainan Institute for Food Control, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Haikou 570314 PR China. Electronic address:
NIR spectroscopy is widely used in chemical analysis, agricultural science, food safety, and other fields, but its high dimensionality and data redundancy bring analytical challenges. This study aims to compare the performance of different wavelength selection methods in NIR spectral datasets with different dimensionalities to provide a reference for researchers. The wavelength selection methods in this study were classified into four categories according to their principles, which are partial least squares (PLS) parameter-based methods, intelligent optimization algorithms (IOA)-based methods, model population analysis (MPA)-based methods and wavelength interval selection (WIS) methods.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Management, Hefei University of Technology, Hefei, Anhui, 230009, China; Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education, Hefei, 230009, China. Electronic address:
Green technology innovation (GTI) in China's waste power battery recycling (WPBR) sector is a key driver for sustainable resource management, environmental protection, and economic prosperity. Using the PSR-BN-GPT-4 model and multi-source data, this study explores China's WPBRenterprises' high-level GTI mechanism. The research concludes that (1) Compared to traditional expert knowledge, the Bayesian network model based on GPT-4 exhibits superior causal reasoning capability.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Economics and Management, North China Electric Power University, Beijing, China. Electronic address:
In order to reduce the unpredictability of carbon prices caused by their increasingly prominent environmental and market attributes, and to minimize their negative impact on carbon trading, further research on forecasting models for carbon price is urgently needed. To improve the accuracy of prediction, this paper proposes a carbon price forecasting method based on SSA-NSTransformer. The method includes four main steps: Firstly, decomposition of carbon price signals, using Singular Spectrum Analysis to remove noise signals; Secondly, analysis of influencing factors, using Random Forest to identify and select key influencing factors of carbon price signal components from energy price, financial market, socio-economic, and environmental aspects; Furthermore, influencing factors prediction, considering the impact of different carbon reduction targets and predicting future trends of influencing factors; And finally, carbon price prediction, considering the impact of factors based on multi-stage carbon reduction targets, using Non-stationary Transformer to predict the signal components of carbon prices, reconstructing the carbon price time series, and testing the model accuracy.
View Article and Find Full Text PDFBrain Behav
January 2025
Journalism and Communications School, University of Social Sciences and Humanities, Vietnam National University, Hanoi, Vietnam.
Purpose: The practice of mindfulness is becoming more widespread among employees, with potential benefits for workplace outcomes. However, there is a paucity of research on the mechanisms linking mindfulness to job performance.
Method: This study investigated the mediating functions of emotional intelligence and psychological capital in the relationship between mindfulness and job performance among 263 office employees in Ho Chi Minh City, Vietnam.
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