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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 article, an extensive study of time-resolved photoluminescence in the temperature range 1.8 -50 K on a dozen of samples of type II GaAs-AlAs superlattices was performed.

47 citations

Journal ArticleDOI
TL;DR: In this article, a diagnosis method based on discrete wavelet transform and optimized for sensitive detection under transient operating conditions is proposed for detecting outer cage failures in double-cage induction motors.
Abstract: It is known that classical fast-Fourier-transform-based steady-state spectrum analysis, such as motor current signature analysis, may fail to detect outer cage damage in double-squirrel-cage induction motors. This is because the magnitude of the rotor fault frequency components (RFFCs) in the current spectrum of faulty motors is small, due to the low-magnitude current circulation in the outer cage under a steady-state operation. The probability of misdetection is higher in time-varying load applications, such as conveyor belts, pulverizers, etc., for which double-cage motors are frequently employed. In case of load variation, the small RFFCs are spread in a bandwidth proportional to the speed variation, which makes them even more difficult to detect. A diagnosis method based on discrete wavelet transform and optimized for sensitive detection under transient operating conditions is proposed in this paper. An experimental study on a custom-built fabricated Cu double-cage-rotor induction motor shows that the proposed method can provide improved detection of outer cage faults particularly used in time-varying load applications.

47 citations

Journal ArticleDOI
TL;DR: In order to understand the genetic diversity of Acacia tortilis ssp.
Abstract: Aims: In order to understand the genetic diversity of Acacia tortilis ssp. raddiana-rhizobia in Tunisia, isolates from nine geographical locations were obtained and analysed. Methods and Results: Characterization using restriction fragment length polymorphism analysis (RFLP) of PCR-amplified 16S rRNA gene and the intergenic spacer (IGS) between the 16S and 23S rRNA genes was undertaken. Symbiotic efficiency of the strains was also estimated. Analysis of the 16S rRNA by PCR-RFLP showed that the isolates were phylogenetically related to Ensifer ssp., Rhizobium tropicii-IIA, and Rhizobium tumefaciens species. Analysis of 16S-23S spacer by PCR-RFLP showed a high diversity of these rhizobia and revealed eleven additional groups, which indicates that these strains are genetically very diverse. Full 16S rRNA gene-sequencing showed that the majority of strains form a new subdivion inside the genera Ensifer, with Ensifer meliloti being its nearest neighbour. Nodulation test performed on the plant host demonstrated differences in the infectivity among the strains. Conclusion: Rhizobial populations that nodulate specifically and efficiently Acacia tortilis ssp. raddiana in representative soils of Tunisia is dominated by E. meliloti-like genomospecies. Significance and Impact of the Study: This paper provides the first clear characterization and symbiotic efficiency data of rhizobia strains nodulating A. tortilis in Tunisia.

47 citations

Journal ArticleDOI
TL;DR: The strategy devised in this work for polyphenol extraction using modified activated carbon with biological coating agent is of simple design, very effective and ensure the recovery of highly antioxidant extract.

47 citations

Journal ArticleDOI
TL;DR: In this paper, the authors study the multifractality, long-memory process, and efficiency hypothesis of six major cryptocurrencies (Bitcoin, Ethereum, Monero, Dash, Litecoin, and Ripple) using the time-rolling MF-DFA approach.

47 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