[email protected] o n e o f t h e b i g g e s t c h a l l e n g e s i n designing storage systems is providing the reliability and availability that users expect. A serious threat to reliability is silent data corruption (i.e., corruption not detected by the disk drive). In order to develop suitable protection mechanisms against corruption, it is essential to understand its characteristics. In ...

The present study adds a further link to the chain of studies on corruption and capital flows. It is argued here that not only does corruption reduce foreign direct investment inflows to a country, but also different forms of corruption have separately identifiable effects on the variable in question. Using data from Global Competitiveness report of the World Economic Forum, it is manifested in...

The paper explores a game-theoretic model of petty corruption involving a sequence of entrepreneurs and a track of bureaucrats. Each entrepreneur’s project is approved if and only if it is cleared by each bureaucrat. The project value is stochastic; its value is observed only by the entrepreneur, but its distribution is common knowledge. Each bureaucrat clears the project only if a bribe is pai...

Recent scholarly attention has focused on weak governance and the negative effects of corruption on the provision of health services. Employing agency theory, this article discusses corruption in the South African health sector. We used a combination of research methods and triangulated data from three sources: Auditor-General of South Africa reports for each province covering a 9-year period; ...

We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization model of LRR has a unique solution, which is the shape interaction matrix (SIM) of the data matrix. So in essence LRR is equivalent to factorization methods. We also prove that the minimum value of the optimization model o...

edge detection and edge enhancement techniques play an essential role in interpreting potential field data. this paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. the edge detection methods comprise analytic signal, total horizontal derivative (thdr), theta angle, tilt angle, hyperbolic of tilt angle (h...

One of the main drivers of the rapid growth of corruption research the last 20 years is the easy access to empirical data via corruption rankings and composite indices that can be used for large-N analysis. It is also these indicators that mainly are used to place countries in the comparative literature (and elsewhere) and in analyses of the relationship between corruption and, among else, demo...

the aim of the present research was to study the effective factors of corruption in sport organizations and football federation of iran was selected as the case study. research method was descriptive application survey and all staff of football federation of i.r. iran (n=131) were considered as the population while the sample equalled the population. to collect data, a questionnaire (khodadad h...

Using individual-level data for 35 countries, we investigate the microeconomic determinants of attitudes towards corruption. We consistently find women, employed, less wealthy, and older individuals to be more averse to corruption. We also provide evidence that social effects play an important role in determining individual attitudes towards corruption, as these are robustly and significantly a...

There is growing interest in the role and contribution of e-government to the level of corruption and the eco-efficiency in terms of economic prosperity and environmental degradation of nation states. In this paper, we use publicly available archival data to explore the relationships among e-government maturity, corruption, and eco-efficiency (defined in terms of economic prosperity and environ...