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International Journal of Geosciences 2012年第5期3卷 1040-1047页

作者： Ajmi Boulbaba Lazzez Marzouk ramla ben rabah Shimi Najet Faculty of Science of Tunis Department of Geology Tunis Tunisia Tunisian Oil Company Tunis Tunisia

In arid and semi-arid regions, salinity is a serious and chronic problem for agriculture. The aim of this study is to evaluate the hydromorphical and salinity risks, and to evaluate the relationship and the possible interfering between the water table and the soil on the oasis of Gabes. The topic is very important, especially for nations around the oceans in arid and semi-arid regions. The effect of the gypsum alkalinity in the soil salinity has investigated. The chemical characteristic of used water irrigation (salinity saturation) and their impact factor in the productivity area. Moreover, in this study the program of examination need to put fifteen piesometres by CRAD (Regional Commissariat of Agriculture Development) in the city of Gabes to controlling the variation of water levels in the superficial water table and their change chemical quality. The experimental measure of this program needs a yearly observation and investigation during April and May to evaluate the hydromorphical and salinity risks on the oasis of Gabes. The relationship and the possible interfering between the water table and the soil has evaluate in such condition.

关键词： Oasis Irrigation Water Superficial Water Table Salinity Drainage Tunisia

Evaluating the Potentials of PLSR and SVR Models for Soil Properties Prediction Using Field Imaging,Laboratory VNIR Spectroscopy and Their Combination

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1399-1425页

作者： Emna Karray Hela Elmannai Elyes Toumi Mohamed Hedi Gharbia Souham Meshoul Hamouda Aichi Zouhaier ben rabah Center of Mapping and Remote Sensing Tunis1073Tunisia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Digital Research Centre of Sfax Sfax3021Tunisia Higher School of Agriculture of Mograne LR03AGR02SPADDUniversity of CarthageCarthage1054Tunisia

Pedo-spectroscopy has the potential to provide valuable information about soil physical,chemical,and biological properties.Nowadays,wemay predict soil properties usingVNIRfield imaging spectra(IS)such as Prisma satellite data or laboratory spectra(LS).The primary goal of this study is to investigate machine learning models namely Partial Least Squares Regression(PLSR)and Support Vector Regression(SVR)for the prediction of several soil properties,including clay,sand,silt,organic matter,nitrate NO3-,and calcium carbonate CaCO_(3),using five VNIR spectra dataset combinations(%IS,%LS)as follows:C1(0%IS,100%LS),C2(20%IS,80%LS),C3(50%IS,50%LS),C4(80%IS,20%LS)and C5(100%IS,0%LS).Soil samples were collected at bare soils and at the upper(0–30 cm)layer.The data set has been split into a training dataset 80%of the collected data(n=248)and a validation dataset 20%of the collected data(n=61).The proposed PLSR and SVR models were trained then tested for each dataset combination.According to our results,SVR outperforms PLSR for both:C1(0%IS,100%LS)and C5(100%IS,0%LS).For Soil Organic Matter(SOM)prediction,it achieves(R^(2)=0.79%,RMSE=1.42%)and(R^(2)=0.76%,RMSE=1.3%),respectively.The data fusion has improved the soil property prediction.The highest improvement was obtained for the SOM property(R^(2)=0.80%,RMSE=1.39)when using the SVR model and applying the second Combination C2(20% of IS and 80%LS).

关键词： Soil VNIR field imaging spectroscopy PLSR SVR VNIR data combination

Prevention of H2O2 Induced Oxidative Damages of Rat Testis by Thymus algeriensis

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Biomedical and Environmental Sciences 2016年第4期29卷 275-285页

作者： Fatma Guesmi Hamida Beghalem Amit K Tyagi Manel ben Ali ramla ben Mouhoub Houda Bellamine Ahmed Landoulsi Laboratory of Biochemistry and Molecular Biology Faculty of Sciences of Bizerte Zarzouma Bizerte 7021 Tunisia Cytokine Research Laboratory Department of Experimental Therapeutics The University of Texas M. D. Anderson Cancer Center 1515 Holcombe Boulevard Houston TX 77030 USA Laboratory of Biomonitoring of the Environment (LRO1/ES14) Faculty of Sciences of Bizerte Zarzouma Bizerte 7021 Tunisia Service of Anatomo-Pathology of Menzel Bourguiba Bizerte 7050 Tunisia

Objective We evaluate the effects of Thymus algeriensis （TEO） against hydrogen peroxide （H202） toxicity on body and testis weight, testis sperm count, testis lipid peroxidation, and antioxidant enzyme activities in rats. Methods Rats were treated with low （LD） and high dose （HD） of H202 （0.1 and 1 mmol/L） in the presence or absence of TEO （150 mg/kg）. Results The results exhibited a significant decrease in body weight and testis weight, in total sperm number decrease （P〈0.05）, sperm motility and percentage of sperm viability, leading to complete arrest, in sperm flagellar beat frequency by the gavage of 1 mmol/L H202 compared to controls. The administration of H2O2 resulted in a significant reduction in testis GSH, GPx, CAT, SOD, and GST activity and significant increase （P〈0.05） in MDA concentration compared with the untreated control animals. TEO pre-treatment protected testis from the H2O2 generated oxidative stress. These results were confirmed by histological architecture examinations. Conclusion H2O2 has the ability to alter the sperm function, characteristics and development of testis. However, TEO is an efficient natural agent, which can prevent the testis from H2O2-induced oxidative damage in rats.

关键词： Testis Hydrogen peroxide TEO Antioxidants Infertility

Inter-comparative Study of Quantitative Methods of Industrial Clinker

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Journal of Wuhan University of Technology(Materials Science) 2017年第6期32卷 1250-1260页

作者： benmohamed Mohamed Galai Haykel Alouani rabah Bejaoui Marouene ben Haj Amara Abdessalem ben Rhaim Hafsia UR05/13-01 Physique des Materiaux Lamellaires et Nanomateriaux Hybrides (PMLNMH) Faeulte des Sciences de Bizerte Universitede Carthage Zarzouna 7021 Tunisia Institut National de Recherche et d'Analyse Physico-chimiques 2026 Technopole de Sidi Thabet Tunisia

Impurities from the raw materials, the grinding and the homogenization of the raw materials, the kiln instability and the complexity of the cooling step, all these factors make it difficult to obtain a perfect evaluation of the mineralogical composition of Portland clinker. We studied the limitations of the most commonly used quantitative methods and recommend some procedures to obtain reliable and reproducible results of quantitative analyses. Different clinker samples（provided by the Bizerte Cement Company（Tunisia）） were subjected to an elemental analysis by X-ray fluorescence and the mineralogical composition was determined by the Bogue calculation and by X-ray powder diffraction combined with the Rietveld method（Different softwares were used： XPert High Score Plus version 2.0 and TOPAS version 4.2）. We then compared the results obtained by the Rietveld method and the Bogue calculation to the specific peak areas of each phase. The content of each phase, determined by the Rietveld method, varied proportionally to the change in peak area; a significant difference in these results was found by using the elementary Bogue calculation.

关键词： portland clinker bogue calculation rietveld method quantitative mineralogy specificpeaks different software

In vitro assessment of antioxidant,neuroprotective,anti-urease and anti-tyrosinase capacities of Tamarix africana leaves extracts

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Journal of Traditional Chinese Medicine 2023年第2期43卷 252-264页

作者： Esma Anissa Trad Khodja Abd El Hamid Khabtane rabah Arhab Djamila benouchenne Mohamed Sabri bensaad Chawki bensouici Ramazan Erenler Biotechnology WaterEnvironment and Health LaboratoryFaculty of Natural and Life SciencesUniversity Abbes LaghrourKhenchela 40000Algeria Laboratory of Natural Substances Biomolecules and Biotechnological ApplicationsFaculty of Natural and Life SciencesUniversity Larbi Ben M HidiOum El-Bouaghi 04000Algeria Genetics Biochemistry and Plant Biotechnology LaboratoryFaculty of Natural and Life SciencesUniversity Constantine 1Constantine 25000Algeria Pharmaceutical Sciences Research Center Constantine 25000Algeria Laboratory of Cellular and Molecular Physio-Toxicology-Pathology and Biomolecules(LPTPCMB) Faculty of Natural and Life SciencesUniversity Batna 2Batna 05000Algeria Laboratory of Biotechnology of Bioactive Molecules and Cellular Physiopathology(LBMBPC) Faculty of Natural and Life Sciences University Batna 2Batna 05000Algeria Biotechnology Research Center Ali Mendjli UV 03 Constantine 25000Algeria Department of Chemistry Faculty of Science and LiteratureUniversity TokatGaziosmanpasaTokat 60250Turkey

OBJECTIVE:To characterize the chemical profile of methanolic crude extract and its fractions(Ethyl acetate,n-butanol and aqueous)using liquid chromatographymass spectrometry(LC-MS)analysis,to evaluate their biological and pharmacological properties:antioxidant(1,1-diphenyl-2-pycrylhydrazyl(DPPH),2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic)(ABTS·+),galvinoxyle free radical scavenging,reducing power,phenanthroline andβcarotene-linoleic acid bleaching assays),enzymes inhibitory ability against several enzymes[acetylcholinesterase(AChE),buthyrylcholinesterase(BChE),urease and tyrosinase].METHODS:Secondary metabolites were extracted from Tamarix africana air-dried powdered leaves by maceration,the crude extract was fractionated using different solvents with different polarities(Ethyl acetate,n-butanol and aqueous).The amount of polyphenols,flavonoids and tannins(hydrolysable and condensed)were determined using colorimetric assays.A variety of in vitro biochemical tests were carried out to assess antioxidant and oxygen radical scavenging properties using DPPH,ABTS,galvinoxyle free radical scavenging,reducing power,phenanthroline andβcarotene-linoleic acid bleaching methods.Neuroprotective effect was examined against acetylcholinesterase and buthyrylcholinesterase enzymes.The anti-urease and antityrosinase activities were performed against urease and tyrosinase enzymes respectively.The extract’s components were identified using LC-MS and compared to reference substances.RESULTS:The results indicated that Tamarix africana extracts presented a powerful antioxidant activity in all assays and exhibited a potent inhibitory effect against AChE and BChE as well as urease and tyrosinase enzymes.LC-MS analysis identified amount of eight phenolic compounds were revealed in this analysis;Apigenin,Diosmin,Quercetin,Quercetine-3-glycoside,Apigenin 7-O glycoside,Rutin,Neohesperidin and Wogonin in methanolic extract and its different fractions of Tamarix africana from leaves.CONCLUSIONS:Based on these findings,it is reasonable t

关键词： antioxidants anti-tyrosinase anti-urease liquid chromatography-mass spectrometry neuroprotection phenolic content Tamarix africana

Identifying Brain Characteristics of Bright Students

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Journal of Intelligent Learning Systems and Applications 2018年第3期10卷 93-103页

作者： ramla Ghali Hamdi ben Abdessalem Claude Frasson Roger Nkambou Department of Computer Science Université du Québec à Montréal Montréal Canada Department of Computer Science and Operations Research Université de Montréal Montréal Canada

Gifted students have different ways of learning. They are characterized by a fitful level of attention and intuitive reasoning. In order to distinguish gifted students from normal students, we conducted an experiment with 17 pupils, willing participants in this study. We collected different types of data (gender, age, performance, initial average in math and EEG mental states) in a web platform called NetMath intending for the learning of mathematics. We selected ten tasks divided into three difficulty levels (easy, medium and hard). Participants were invited to respond to top-level exercises on the four basic operations in decimals. Our first results confirmed that the student’s performance has no relation with age. A younger 9-year-old student achieved a higher score than the group with an average of 68.18%. This student can be considered as a gifted one. The gifted students can be also characterized by a mean value of attention (around 60%). They also can be defined by slightly weaker values of their mental states of attention and workload in comparison with the weak pupils.

关键词： NetMath Platform Performance Workload Attention Relaxation Decimal Numbers

Prediction of Soil Salinity Using Remote Sensing Tools and Linear Regression Model

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Advances in Remote Sensing 2019年第3期8卷 77-88页

作者： Sarra Hihi Zouhair ben rabah Moncef Bouaziz Mahmoud Yassine Chtourou Samir Bouaziz 3E Laboratory National Engineering School of Sfax University of Sfax Sfax Tunisia Centre National de Cartographie et de Télédétection Tunis Tunisia Faculty of Environmental Sciences Institute of Geographie Dresden Germany

Soil salinity is one of the most damaging environmental problems worldwide, especially in arid and semi-arid regions. Multispectral data Sentinel_2 are used to study saline soils in southern Tunisia. 34 soil samples were collected for ground truth data in the investigated region. A moderate correlation was found between electrical conductivity and the spectral indices from SWIR. Different spectral indices were used from original bands of Sentinel_2 data. Statistical correlation between ground measurements of Electrical Conductivity (EC), spectral indices and Sentinel_2 original bands showed that SWIR bands (b11 and b12) and the salinity index SI have the highest correlation with EC. Based on these results and combining these remotely sensed variables into a regression analysis model yielded a coefficient of determination R2 = 0.48 and an RMSE = 4.8 dS/m.

关键词： Remote Sensing Spectral Indices Soil Salinity Electrical Conductivity Salinity Index Regression Analysis

Hyperspectral Analysis for a Robust Assessment of Soil Properties Using Adapted PLSR Method

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Advances in Remote Sensing 2019年第4期8卷 99-108页

作者： Zouhaier ben rabah Hedi Garbia Emna Karray Kais Tounsi Abdelaziz Kallel Basel Solaiman 3E Laboratory National Engineering School of Sfax University of Sfax Sfax Tunisia National Center of Mapping and Remote Sensing Tunis Tunisia Digital Research Centre of Sfax Sfax Tunisia IMT Atlantique Bretagn-Pays de la Loire France

Near-InfraRed and Visible (Vis-NIR) spectroscopy is a promising tool allowing to quantify soil properties. It shows that information encoded in hyperspectral data can be useful after signal processing and model calibration steps, in order to estimate various soil properties throughout appropriate statistical models. However, one of the problems encountered in the case of hyperspectral data is related to information redundancy between different spectral bands. This redundancy is at the origin of multi-collinearity in the explanatory variables leading to unstable regression coefficients (and, difficult to interpret). Moreover, in hyperspectral spectrum, the information concerning the chemical specificity is spread over several wavelengths. Therefore, it is not wise to remove this redundancy because this removal affects both relevant and irrelevant hyperspectral information. In this study, the faced challenge is to optimize the estimation of some soil properties by exploiting all the spectral richness of the hyperspectral data by providing complementary rather than redundant information. To this end, a new reliable approach based on hyperspectral data analysis and partial least squares regression is proposed.

关键词： Spectroscopy Hyperspectral Data Soil Properties Partial Least Squares Regression Model