Search results for "Minimum"
showing 10 items of 327 documents
De l'inégalité sociale devant la santé au dualisme sanitaire : le RMI, une réponse adéquate aux besoins de santé des plus défavorisés ?
1993
Literature on household medical expenditure according to socio economiccategories indicates that that disparities in access to health care are no longer a major obstacle to social equality. Nevertheless these surveys do not take into account the dualistic structure of society and therefore do not recognise the changing issues in health and social policy. As regards health policy the issues are set in terms of the exclusion of those individuals who since they live on the fringes of economic activity no longer qualify for Social Security benefits. To give a complete picture of social inequalities it is essential to study this exclusion from health care. By studying the people who are on "RMI"…
Does the Pension System’s Income Statement Really Matter? A Proposal for An NDC Scheme with Disability and Minimum Pension Benefits
2019
This paper develops a full accounting model for monitoring the solvency of a notional defined contribution (NDC) pension scheme with disability and minimum pension benefits. Using the annual report of the Swedish pension system as a benchmark (TSPS, 2019), we extend the “Swedish” actuarial balance developed by Perez-Salamero et al. (2017) by adding an income statement which fully explains the reasons behind the changes in the system’s solvency by type of benefit. In line with the reference model, assets and liabilities are measured at present value at each reporting date, and changes in present value are reported in each period as income or expenses and are included on the income statement.…
Minimum contrast for point processes' first-order intensity estimation
2023
In this paper, we exploit some theoretical results, from which we know the expected value of the K-function weighted by the true first-order intensity function of a point pattern. This theoretical result can serve as an estimation method for obtaining the parameter estimates of a specific model, assumed for the data. The only requirement is the knowledge of the first-order intensity function expression, completely avoiding writing the likelihood, which is often complex to deal with in point process models. We illustrate the method through simulation studies for spatio-temporal point processes.
Complexity Selection of the Self-Organizing Map
2002
This paper describes how the complexity of the Self-Organizing Map can be selected using the Minimum Message Length principle. The use of the method in textual data analysis is also demonstrated.
An Encoding in Metaheuristics for the Minimum Communication Spanning Tree Problem
2009
Problem-specific encodings can improve the performance of metaheuristics, such as genetic algorithms or simulated annealing. This paper studies the link-biased (LB) encoding, which is a tree representation, and applies metaheuristics using this encoding to the minimum communication spanning tree (MCST) problem. Given the communication requirements of the nodes, the MCST problem seeks a communication spanning tree with minimum total cost. Optimal solutions for MCST problems are similar to minimum spanning trees (MSTs), and the LB encoding exploits this property by encoding trees similar to MSTs with higher probability. The paper investigates how to systematically design problem-specific enc…
Antibacterial activity of Borago officinalis and Brassica juncea aqueous extracts evaluated in vitro and in situ using different food model systems
2014
The present study was undertaken to characterize the antibacterial activity of the aqueous extracts (AEs) obtained from the leaves of Borago officinalis L. and Brassica juncea L. The antagonistic activity was evaluated against several bacteria (42 strains of Listeria monocytogenes, 35 strains of Staphylococcus aureus, 38 strains of Enterobacter spp. and 18 strains of Salmonella enterica) commonly associated with foodborne diseases by paper disc diffusion method. The susceptibility to the plant extracts was strain specific. Thirty-five strains (7 L. monocytogenes, 11 S. aureus, 1 S. Enteritidis, 1 S. Veneziana, 7 Enterobacter hormaechei, 5 Enterobacter cloacae, 1 Enterobacter sakazakii and 2…
Plant extracts to control microbial growth: a “green” potential strategy
2016
growth process and vegetative development have a direct consequence on the conservation of cultural assets. Recently, due to the use of many chemical compounds applied in biodeteriogens growth control, the attention has been focused on the risks resulting from these treatments that may affect human health (operators, visitors) and the environment. In order to develop alternative methods to traditional biocides, several studies have been focused to various natural products with potential antimicrobial activity, particularly against fungi and bacteria associated with the biodeterioration of cultural assets (Borrego et al., 2012; Sakr et al., 2012; Guiamet et al., 2008). In this study, antimic…
Biocide
2022
Biodeterioration represents a revealing problem for the conservation of cultural heritage. It can be identified as a complex interaction within the ecosystem of a microbial community and its substrate and involves physical and chemical alterations resulting from biological and metabolic activity. Designing a diagnostic approach for evaluating the extent of the damage, identifying the biological community, and opting for an efficient methodology aimed at eliminating deteriogens is equally complicated. The correct approach would require understanding the nature of the biodeterioration and implementing methodologies respectful of human health which, however, avoid the indiscriminate killing of…
Image Segmentation based on Genetic Algorithms Combination
2005
The paper describes a new image segmentation algorithm called Combined Genetic segmentation which is based on a genetic algorithm. Here, the segmentation is considered as a clustering of pixels and a similarity function based on spatial and intensity pixel features is used. The proposed methodology starts from the assumption that an image segmentation problem can be treated as a Global Optimization Problem. The results of the image segmentations algorithm has been compared with recent existing techniques. Several experiments, performed on real images, show good performances of our approach compared to other existing methods.
INVERTER-BASED DISTRIBUTED GENERATORS, MODELING AND CONTROL
In the last few years, electrical power generation is moving from a centralized generation towards distributed generation including on-site Renewable Energy Sources (RESs). In order to overcome RES related issues, as intermittent and fluctuating power, storage elements are included in the on-site generation system. The interaction between distributed generator (DG) units including RES, storage and front-end power converters should be carefully modeled in order to analyze the power system stability. An accurate modeling of DGs is required. In this thesis, a new modeling approach has been proposed for the inverter-based DGs based on the concept of electrostatic synchronous machines. Detailed …