75 research outputs found
MEASURES AND FACTORS WHICH LED TO THE INCREASE OF THE NUMBER OF RESOURCES FOR FINANCING THE PUBLIC PENSION SYSTEM
No full textPublic pensions represent the most costly component of the social protection system from most of the countries, including Romania. They involve significant financial flows which represent around 12% from GDP for the EU countries and represent a significanfinancing, financial sustainability, contributions to the social security system
AN APPROACH TO SOCIAL POLICY IN ROMANIA FROM THE LIFECYCLE PERSPECTIVE
No full textThe demographic reality and the changes of population compositions, families and communities from the urban and, respectively, the rural area contain several challenges for reconfiguring the social policies in the future. This study proposes an approach of the Romanian social policy in the context of ageing, of changes and risks it generates from the lifecycle perspective. First, the main arguments are reviewed that motivate such an approach by highlighting the modification trends of risks and opportunities during the individuals’ lifetime. Next, an analysis is realised with respect to the opportunities of adjusting the social policy to the risks associated to the main stages of the lifecycle: years of growing and learning (childhood and adolescence); the period of forming families and the working life years; the post-active period. A special emphasis is laid on taking into account the differences between men and women. The study contains recommendations for policies oriented on diminishing the risks during the lifecycle in the context of ageing.lifecycle, social policy; Romania; ageing social policy; ageing gender; social risk
ON THE RELATIONSHIP BETWEEN TOPONYMY AND LINGUISTICS / LA RELATION ENTRE LA LINGUISTIQUE ET LA TOPONYMIE / RAPORTUL DINTRE TOPONIMIE ŞI LINGVISTICĂ
No full textThe purpose of our paper is to demonstrate that toponymy is a science that studies
place names both by considering the relationship they maintain with the geographic objects they
individualize by naming, and by researching their significance, etymology and changes (phonetic,
semantic, morphosyntactic and onomasiological) that occured along their history within the process of
denomination. The approach of the place names we quote (e. g. ‘Obcina Bătrână’) include the
synchronic and the diachronic criteria, that complement each other. This assertion is supported by the
fact that synchronic toponymy describes the situation at a certain point in time, i. e. in the present stage
of functionning and existence of place names, whereas diachronic toponymy researches the evolution
of facts and phenomena. We have analyzed the toponyms that we quote in our paper according to a
series of concepts that were proposed and theorized by Dragoş Moldovanu (1972: 73-100) (such as
‘toponymic field’, ‘polarization’ and ‘differentiation’), concepts that aim both at emphasizing the
relationship between the name and the extralinguistic object it designates, and at presenting the
significance, etymology and changes the toponyms underwent in time within the denomination process.
We have also intended to prove that common names and place names do not exclude each other, but
develop a relationship of reciprocity in spite of certain semantic, derivational and grammatical
peculiarities that separates them. Some place names are entopic (descriptive toponyms), while there
are other that come from anthroponyms (personal toponyms).
The linguistic material (toponyms we quote in the paper) was obtained from field surveys (in
the upper basin of the river Bistriţa), from the investigation conducted on historical and geographic
documents, and also from the information we received from the surveyed individuals that mostly
concerns the way certain place names appeared and changed in time
Default Prediction Using Network Based Features
No full textSmall and medium enterprises (SME) are crucial for economy and have a higher exposure rate to default than large corporates. In this work, we address the problem of predicting the default of an SME. Default prediction models typically only consider the previous financial situation of each analysed company. Thus, they do not take into account the interactions between companies, which could be insightful as SMEs live in a supply chain ecosystem in which they constantly do business with each other. Thereby, we present a novel method to improve traditional default prediction models by incorporating information about the insolvency situation of customers and suppliers of a given SME, using a graph-based representation of SME supply chains. We analyze its performance and illustrate how this proposed solution outperforms the traditional default prediction approaches.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Data-Intensive SystemsMultimedia Computin
Credit Scoring Prediction using Graph Features
No full textSmall and medium enterprises (SMEs) bring a significant contribution to each country’s economy, ensuring both a high employment rate and financial prosperity. Despite their essential role, these type of companies presents a higher vulnerability to default than large corporates. The default event implies that the SME could not properly reimburse the money owned to its suppliers. If their default could be forecast, experts could adopt measures in order to prevent it or its impactful consequences. For this reason, developing a credit scoring model which is able to predict which SMEs are endangered of default is crucial. There are plenty of credit scoring prediction models available in the literature. However, most of them are only relying on the financial status of one company. In this work, we are presenting a novel method for credit scoring prediction which does not only take into account the SMEs’ financial situation, but also their position and role within a transactional network. A transactional network is a graph, whereby the nodes are represented by SMEs and the edges show that between two nodes there should be at least one transaction. In our work, we highlight the limitations that traditional models face and provide an alternative to overcome them. Furthermore, our findings show that combining network features with financial features could lead to a more accurate prediction and increase the robustness of the model. For this reason, we believe that the transactional network carries significant insights and could be a meaningful addition to financial based credit scoring prediction models
AutoML: Towards automation of machine learning systems maintainability
No full textMachine learning systems both gained significant interest from the academic side and have seen adoption in the industry. However, one aspect that has received insufficient attention so far is the study of the lifecycle of such systems. This aspect is particularly important due to various ML systems' strong dependency on data, which is constantly evolving-and, therefore, changing-over time. The focus of my PhD research is the study of the implications of these dynamics on the ML systems' performance. Concretely, I propose a method of detecting changes caused by drift in the data early. Furthermore, I discuss possibilities for automating large parts of the ML lifecycle management, to ensure a better and more controllable maintenance process. Data-Intensive System
Maintaining and Monitoring AIOps Models Against Concept Drift
No full textAIOps solutions enable faster discovery of failures in operational large-scale systems through machine learning models trained on operation data. These models become outdated during the occurrence of concept drift, a term used to describe shifts in data distributions. In operation data concept drift is inevitable and it impacts the performance of AIOps solutions over time. Therefore, concept drift should be closely monitored and immediate maintenance to prevent erroneous predictions is required. In this work, we propose an automated maintenance pipeline for AIOps models that monitors the occurrence of concept drift and chooses the most appropriate model retraining technique according to the drift type.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Software EngineeringData-Intensive SystemsSoftware Technolog
Inegalităţi în domeniul sănătăţii publice: starea de sănătate a populaţiei şi cheltuielile de sănătate
No full textThe documents of the EU regarding sustainable development, place public health as one of the most important areas of interest, a growing attention is being paid to reducing inequalities in health among countries. The objective of this article is to identify major inequalities in health in Romania and compare them with other countries members of the EU, regarding health status and health expenditure. The analysis is based on the specific indicators for each category of problems mentioned. For this purpose the most relevant indicators are used, from the statistics of the WHO, Eurostat and the national statistics of Romania. The comparison is done using the data from the last available year, and where possible trends are shown –pozitive or negative – especially after year 2000. Keywords: public health, inequalities, health status, health expenditures, Romania, EUContent available only in Romanian
Sănătatea publică în strategiile de dezvoltare durabilă
No full textPublic health is recognised today as an integral part of the concept of sustainable development. This paper argues why the achievement of enhanced good and better health within the population is as an integral part of the sustainable development agenda at the global level, and is one of the main priority areas of the European Sustainable Development Strategy. Special attention is paid to the new European public health strategy – in course to working out - to ensure broader understanding of the agenda and synergies through combining drivers for action in the light of one option like choosing health in all activities and in all policies as there is mentioned, at present, in international and EU sustainable development strategies.Keywords: public health, sustainable development strategy, health determinants, risks factorsContent available only in Romania
AN APPROACH TO SOCIAL POLICY IN ROMANIA FROM THE LIFECYCLE PERSPECTIVE
No full textThe demographic reality and the changes of population compositions, families and communities from the urban and, respectively, the rural area contain several challenges for reconfiguring the social policies in the future. This study proposes an approach of the Romanian social policy in the context of ageing, of changes and risks it generates from the lifecycle perspective. First, the main arguments are reviewed that motivate such an approach by highlighting the modification trends of risks and opportunities during the individuals’ lifetime. Next, an analysis is realised with respect to the opportunities of adjusting the social policy to the risks associated to the main stages of the lifecycle: years of growing and learning (childhood and adolescence); the period of forming families and the working life years; the post-active period. A special emphasis is laid on taking into account the differences between men and women. The study contains recommendations for policies oriented on diminishing the risks during the lifecycle in the context of ageing
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