126 research outputs found
Analysing drivers of and barriers to the sustainable development: hidden economy and hidden migration
No full textThe actual global crisis seems to influence negatively the sustainable development in EU countries. At least partially the informal economy escapes from the official registered GDP and hidden migration from the official demographic statistics. This can affect in a significant way the measurement of sustainable development and consequently policies in this field. Coming from general accepted findings of the theory, we concentrate on evaluating the reasons of agents to be involved in hidden economy and estimating the size of this part of economy. Today, there are evidences of a tendency to extended hidden migration together with an increasing official migration usually from eastern EU members to western countries. In a sense, hidden migration could be in relation with informal economy. Using some indirect procedures, we try to estimate the size of hidden migration and its impact on the official side of economy and its potential growth in the future. The main application of the developed methodology is in case of Romania.informal income; inactive population; emigration potential; hidden migration
Distributional Impact of Globalization-Induced Migration: Evidence from a Nigerian Village
No full textOne of the contentious issues about the globalization process is the mechanism by which globalization affects poverty and inequality. This paper explores one of the various strands of the globalization?inequality?poverty nexus. Using microlevel survey data from over 300 poor households in the small village of Umuluwe (about 30 miles west of the regional capital of Owerri) in Southeast Nigeria, the paper investigates whether individuals who migrate from the village to take advantage of the urban-biased globalization process do better than non-migrant villagers. The paper concludes that while the migrant villagers tend to earn slightly higher incomes than the non-migrant villagers, the poverty profiles of both categories of households are essentially the same. In other words, and contrary to conventional wisdom, globalization has not succeeded in alleviating poverty amongst the poor villagers who explicitly took advantage of the process. The paper argues that, by changing relative prices in the urban areas, structural adjustment appears to have eliminated any advantage that globalization may have bequeathed to the migrant villagers.migration, Nigeria, poverty, prices
On the construction of three-valued Lukasiewicz-Moisil algebras
No full textAbstractThe author constructs a three-valued Lukasiewicz-Moisil algebra from a monadic three-valued Lukasiewicz-Moisil algebra, generalizing A. Monteiro's (1974) construction of a three-valued Lukasiewicz-Moisil algebra from a monadic Boolean algebra, and constructs a monadic three-valued Lukasiewicz-Moisil algebra from a monadic n-valued one, generalizing V. Boicescu's (1971) construction of a three-valued Lukasiewicz-Moisil algebra from an n-valued one, n ⩾ 3. Thus one can construct a three-valued Lukasiewicz-Moisil algebra from a monadic n-valued Lukasiewicz-Moisil algebra, n ⩾ 2
Diabetes and renin-angiotensin-aldosterone system: Implications for covid-19 patients with diabetes treatment management
No full textIn the context of the COVID-19 continuous spreading, this paper focuses on the increased risk of diabetic patients regarding the metabolic control and the uncertainties related to SARS-CoV-2 infection. Chronic hyperglycaemia negatively affects the immune system, which triggers an increase of morbidity and mortality for viral infections. A key aspect of COVID-19 resides in the involvement of renin-angiotensin-aldosterone (RAAS) system that causes a cascade of reactions mediated by vasoactive peptides with implications in vasoconstriction, vascular permeability, oxidative stress remodelling and tissue injuries. Activation of RAAS at pulmonary level, is responsible for the local damage. Many questions regarding the treatment with ACE inhibitors and angiotensin receptor blockers were raised considering the correlation between RAAS and viral infection in diabetic patients
Mutable Checkpoint-Restart: Automating Live Update for Generic Server Programs
No full textThe pressing demand to deploy software updates without stopping running programs has fostered much research on live update systems in the past decades. Prior solutions, however, either make strong assumptions on the nature of the update or require extensive and error-prone manual effort, factors which discourage live update adoption. This paper presents Mutable Checkpoint-Restart (MCR), a new live update solution for generic (multiprocess and multithreaded) server programs written in C. Compared to prior solutions, MCR can support arbitrary software updates and automate most of the common live update operations. The key idea is to allow the new version to restart as similarly to a fresh program initialization as possible, relying on existing code paths to automatically restore the old program threads and reinitialize a relevant portion of the program data structures. To transfer the remaining data structures, MCR relies on a combination of precise and conservative garbage collection techniques to trace all the global pointers and apply the required state transformations on the fly. Experimental results on popular server programs (Apache httpd, nginx, OpenSSH and vsftpd) confirm that our techniques can effectively automate problems previously deemed difficult at the cost of negligible run-time performance overhead (2% on average) and moderate memory overhead (3.9x on average)
Value at Risk: A Comparative Analysis
No full textstudy develops a comparative analysis concerning Value at Risk measure for a portfolio consisting of three stocks traded at Bucharest Stock Exchange. The analysis set out from 1-day, 1% VaR and has been extended in two directions: the volatility models and the distributions which are used when computing VaR. Thus, the historical volatility, the EWMA volatility model, GARCHtype models for the volatility of the stocks and of the portfolio and a dynamic conditional correlation (DCC) model were considered while VaR was computed using, apart from the standard normal distribution, different approaches for taking into account the non-normality of the returns (such as the Cornish-Fisher approximation, the modeling of the empirical distribution of the standardized returns and the Extreme Value Theory approach). The results indicate that using conditional volatility models and distributional tools that account for the non-normality of the returns leads to a better VaR-based risk management. For the considered portfolio VaR computed on the basis of a GARCH (1,1) model for the volatility of the portfolio returns where the standardized returns are modeled using the generalized hyperbolic distribution seems to be the best compromise between precision, capital coverage levels and the required amount of calculations. Moreover, the Expected Shortfall risk measure offers very good precision results in all approaches, but at the cost of rather high capital coverage levels.Value at Risk,dynamic conditional correlation
Modelling the impact of flooding stress on the growth performance of woody species using fuzzy logic
No full textAmong the driving processes responsible for riparian forest dynamics the species-specific impact of flooding on the development of woody plants plays a key role-particularly for lowland rivers. Only a few of the forest succession models currently in use incorporate the flooding stress response of trees. This situation is mainly due to the incomplete investigation of the flooding tolerance processes and the related abiotic and biotic factors. In an attempt to use the wide-ranging but still rather vague knowledge available on flooding stress, the research presented in this paper proposes an approach to model tree response to flooding using the fuzzy set theory. The model is illustrated for the case of central European species. Flooding stress response to the abiotic factors of duration, depth and frequency of flooding differs according to five flooding tolerance classes and is expressed by means of a growth factor that limits optimal tree growth. We show that existing fuzzy set theory is able to generate and calibrate a flood stress response model which in turn can be incorporated into more complex forest succession models adapted to riparian areas. (C) 2008 Elsevier B.V All rights reserved.ECO
Digital terrain analysis of the Haute-Mentue catchment (Switzerland) and scale effect for hydrological modelisation with TOPMODEL
No full textHYDRA
Uncertainty analysis of geochemical mixing models and implications for processes conceptualisation
No full textHYDRA
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