This study contributes to the health governance discussion by presenting a new data set that allows for comparisons of the management of health resources among Brazilian municipalities. Research on Brazil is particularly important as the provision of health services was decentralized in 1988 and since then municipalities have been given greater responsibilities for the management of fiscal reso...

Public sector corruption has long-term and damaging effects that are deep and broad. Addressing corruption relies on understanding the drivers that precipitate acts of corruption and developing educational programs that target areas of vulnerability. This paper provides an innovative approach to explore the nature of corruption by drawing on the perceptions and ideas of a group of public servan...

OBJECTIVES Few studies have systematically examined the effects of the existing regulations for alleviating corruption in China. This study assesses the effectiveness of China's reforms to curb medical corruption. METHODS We used mixed methods for the evaluation of existing countermeasures. First, qualitative informant interviews based on the Donabedian model were conducted to obtain experts'...

Scale invariance and multifractal analysis constitute paradigms nowadays widely used for real-world data characterization. In essence, they amount to assuming power law behaviors of well-chosen multiresolution quantities as functions of the analysis scale. The exponents of these power laws, the scaling exponents, are then measured and involved in classical signal processing tasks. Yet, the prac...

A Network Control System (NCS) consists of control components that interact with the plant over a shared network. The system dynamics of a NCS could be subject to noise arising from randomness in the times at which the data is transmitted over the network, corruption of the transmitted data by the communication network, and external disturbances that might affect the plant. A question of intere...

The scourge of corruption slows the economic growth of any modern society, and especially that of developing and under-developed countries which need growth the most. In this paper, we argue that open government data can help in fighting corruption through novel applications that promote transparency in public services.

Using firm-level data from 46 countries, we investigate the relation between corruption – the misuse of public office for private gains – and international corporate values. Our analysis shows that firms from more (less) corrupt countries trade at significantly lower (higher) market multiples. This result is robust to the inclusion of many control variables suggested by valuation theory. On ave...

Corruption is not a new phenomenon; we are living with it since the birth of government’s institutions. Corruption has two dimensions; public sector corruption and private sector corruption. The public sector corruption means, “misuse of public office for private benefits”. For cross country analysis, public sector corruption is mainly focused. In this study, we have analyzed the 41 developing ...

This paper presents the design and discusses the results of a secured high-interaction honeypot. The challenge is to have a honeypot that welcomes attackers, allows userland malicious activities but prevents system corruption. The honeypot must authorize real malicious activities. It must ease the analysis of those activities. A clustered honeypot is proposed for two kinds of hosts. The first c...