Tunis University

About: Tunis University is a education organization based out in Tunis, Tunisia. It is known for research contribution in the topics: Population & Thin film. The organization has 11745 authors who have published 15400 publications receiving 154900 citations. The organization is also known as: University of Tunis & UT.

Health care expenditure and environmental pollution: a cross-country comparison across different income groups

Abstract: This paper investigates the long-run dynamics between health care expenditure and environmental pollution across four global income groups. The analysis uses data from 178 countries, spanning the period 1995–2017. Panel estimations are employed with unobserved heterogeneity, temporal persistence, and cross-sectional dependence using a model with common correlated effects. The findings document that the health care expenditure is a necessity for all sub-groups. We established that a 1% increase in national income increased health expenditure by 7.2% in the full sample, and 9.3%, 8.6%, 6.8% and 2.9% for low, low-middle, upper-middle and high-income groups, respectively, while a 1% increase in CO2 emissions increased health expenditure by 2.5% in the full sample, and 2.9%, 1.2%, 2.3% and 2.6% across these four income groups. We recommend that coordinated approach is needed in setting policy goals both in energy and health sectors in mitigating the negative effects of pollution. Our findings indicate that low-carbon emissions and energy efficient health care services will significantly reduce future health care expenses.

BIG DATA for Healthcare: A Survey

Abstract: Recently, the massification of new technologies, which has been adopted by a large majority of the world population, has accumulated a tremendous amount of data, including clinical data. This clinical data have been gathered up and interpreted by medical organizations in order to gain insights and knowledge useful for clinical decisions, drug recommendations, and better diagnoses, among many other uses. This paper highlights the enormous impacts of big data on medical stakeholders, patients, physicians, pharmaceutical and medical operators, and healthcare insurers, and also reviews the different challenges that must be taken into account to get the best benefits from all this big data and the available applications.

ADC-Based Embedded Real-Time Simulator of a Power Converter Implemented in a Low-Cost FPGA: Application to a Fault-Tolerant Control of a Grid-Connected Voltage-Source Rectifier

Abstract: This paper deals with embedded real-time (RT) simulators applied in power electronic applications and implemented in low-cost field-programmable gate arrays. Indeed, such simulators' intellectual properties (IPs) are not only intended for hardware-in-the-loop (HIL) testing but also can be advantageously embedded within digital controllers to ensure functions such as observation, estimation, diagnostic, or health monitoring. Conversely, to the HIL case, the main challenge when designing such simulators' IPs is to cope with their complexity having in mind that, in the case of embedded systems, the available hardware resources are limited due to the cost. Furthermore, this challenge is strengthened by the need of very short simulation time steps that is typically the case when simulating power converters. By this way, this paper presents the design of an embedded RT simulator of a three-phase grid-connected voltage-source rectifier, based on the associated discrete circuit modeling approach. This IP is associated with the one of a three-phase $RL$ filter, and both are implemented within the rectifier controller to estimate the grid currents. The latter is injected in the controller when a fault is detected in the current sensors. The ability of this estimator to guarantee the service continuity in case of faults has been validated through HIL tests and experiments.