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Institution

Tunis University

EducationTunis, Tunisia
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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors examined the relationship between the volume of investment deposits and capitalization of Islamic commercial banks and found that investment accounts holders may support part or all of the losses on assets value, which could be a source of moral hazard among bank managers and shareholders.
Abstract: Purpose – This paper aims to examine the relationship between the volume of investment deposits and capitalization of Islamic commercial banks.Design/methodology/approach – Unlike current accounts holders, investment accounts holders may support part or all of the losses on assets value, which could be a source of moral hazard among bank managers and shareholders. To test these assumptions, the authors use the system generalized method of moments (system GMM) on a dynamic panel of 59 Islamic banks observed during the period 2005‐2009.Findings – After controlling for a set of variables that may influence capital level, the results show a significant negative relationship between PSIA and regulatory capital ratio. This may indicate that the specific nature of PSIA can be a source of excessive risk‐taking in Islamic banks. This behavior is likely to threaten the solvency of Islamic banks and shows that some deficiencies may exist in their risk management and governance system.Practical implications – This pa...

43 citations

Journal ArticleDOI
TL;DR: In this paper, a potentio-amperometric aptasensor for prostate specific antigen (PSA) was constructed using functionalized graphene-modified carbon screen-printed electrodes as transducing surface.
Abstract: A novel and disposable potentio-amperometric aptasensor for the prostate specific antigen (PSA) was constructed using functionalized graphene-modified carbon screen-printed electrodes as transducing surface. The PSA specific DNA aptamer was covalently tethered to the graphene through amide bond between the aptamer-terminated amine and the carboxylic acid-enriched graphene casted on the electrode surface. A further hybridization of a partially complementary DNA (cDNA) was followed by intercalation of methylene blue into the double-stranded DNA sequences. The detection approach was based on a competitive assay between the antigen and the cDNA. In fact, the detection relies on the PSA biorecognition by its aptamer, triggering the release of the loosely bound DNA strand and the intercalated dye molecules, which was monitored by differential pulse voltammetry. The aptasensor allowed selective and specific detection of PSA over a wide range of concentrations from 1 pg·mL−1 to 100 ng·mL−1 with a low detection limit of 0.064 pg·mL-1. This electroanalytical device also exhibited high reproducibility and storage stability, and was successfully validated in spiked human blood serum samples.

43 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a validite de l'application of ces methodes a l'etude de la pollution par les nitrates de la nappe en question a testee, en etablissant une comparaison entre la repartition des nitrates dans les eaux de la Nappe and the repartitions des classes de vulnerabilite.

43 citations

Journal ArticleDOI
TL;DR: Under optimized conditions, the Co2SnO4/PMS system is very efficient with a full degradation of RhB and PCP in less than 10 min at room temperature, as revealed by high performance liquid chromatography (HPLC) analysis.
Abstract: Spinel Co2SnO4 nanoparticles are synthesized by a facile hydrothermal route in alkaline solution using SnCl4 and CoCl2 as precursors. The structure, morphology and chemical composition of the nanoparticles are characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), energy dispersive X-ray (EDX), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS) and thermogravimetric analysis (TGA). The catalytic performance of the Co2SnO4 nanoparticles is thoroughly evaluated for peroxymonosulfate (PMS) activation for removal of rhodamine B (RhB) and pentachlorophenol (PCP) from water. The influence of different process parameters on the RhB degradation efficiency is examined and the catalytic stability is evaluated. Under optimized conditions, the Co2SnO4/PMS system is very efficient with a full degradation of RhB and PCP in less than 10 min at room temperature, as revealed by high performance liquid chromatography (HPLC) analysis. Quenching experiments suggested that sulfate radicals (SO4˙−) are the main active species in the degradation process. Moreover, the Co2SnO4 catalyst is stable without any apparent activity loss after 5 cycling runs.

43 citations

Journal ArticleDOI
TL;DR: The study has done on the improvement of sliding mode control with neural network, which provides better results compared to other techniques in terms of improved chattering phenomenon and less deviation from its reference.
Abstract: Energy production from renewable sources offers an efficient alternative non-polluting and sustainable solution. Among renewable energies, solar energy represents the most important source, the most efficient and the least expensive compared to other renewable sources. Electric power generation systems from the sun’s energy typically characterized by their low efficiency. However, it is known that photovoltaic pumping systems are the most economical solution especially in rural areas. This work deals with the modeling and the vector control of a solar photovoltaic (PV) pumping system. The main objective of this study is to improve optimization techniques that maximize the overall efficiency of the pumping system. In order to optimize their energy efficiency whatever, the weather conditions, we inserted between the inverter and the photovoltaic generator (GPV) a maximum power point adapter known as Maximum Power Point Tracking (MPPT). Among the various MPPT techniques presented in the literature, we adopted the adaptive neuro-fuzzy controller (ANFIS). In addition, the performance of the sliding vector control associated with the neural network was developed and evaluated. Finally, simulation work under Matlab / Simulink was achieved to examine the performance of a photovoltaic conversion chain intended for pumping and to verify the effectiveness of the speed control under various instructions applied to the system. According to the study, we have done on the improvement of sliding mode control with neural network. Note that the sliding-neuron control provides better results compared to other techniques in terms of improved chattering phenomenon and less deviation from its reference.

43 citations


Authors

Showing all 11809 results

NameH-indexPapersCitations
Walid Saad8574930499
Alexandre Mebazaa8371639967
Albert Y. Zomaya7594624637
Anis Larbi6725915984
Carmen Torres6446115416
Chedly Abdelly6042914181
Hans R. Kricheldorf5782518670
Mohamed Benbouzid5149212164
Enrique Monte481187868
Fayçal Hentati4715310376
A. D. Roses4512024719
Laurent Nahon452056252
Bessem Samet453087151
Maxim Avdeev425268673
Abdellatif Boudabous401745605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
2022130
20211,621
20201,599
20191,685
20181,689