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Organic Chemistry Frontiers 2022年第3期9卷 838-852页

作者： Swagata Paul Kanak Kanti Das Debasis Aich samir Manna Santanu Panda Department of Chemistry Indian Institute of TechnologyKharagpur721302India

gem-Diborylalkanes are an important class of organoboron compounds as they function as a key building block in organic *** the last decade,there has been growing interest in the enantioselective synthesis of gem-diborylalkanes to access a sp^(3) chiral center with two functionalizable *** review summarizes the recent development of the enantioselective synthesis of gem-diborylalkanes and their application in asymmetric synthesis.

关键词： synthesis alkanes synthesis

A Novel Convolutional Neural Network Model for Malaria Cell Images Classification

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Computers, Materials & Continua 2022年第9期72卷 5889-5907页

作者： Esraa Hassan Mahmoud Y.Shams Noha A.Hikal samir Elmougy Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Department of Information Technology Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt

Infectious diseases are an imminent danger that faces human beings around the *** is considered a highly contagious *** diagnosis of various diseases,including malaria,was performed manually,but it required a lot of time and had some human ***,there is a need to investigate an efficient and fast automatic diagnosis *** deep learning algorithms can provide a solution in which they can learn complex image patterns and have a rapid improvement in medical image *** study proposed a Convolutional Neural Network(CNN)model to detect malaria automatically.A Malaria Convolutional Neural Network(MCNN)model is proposed in this work to classify the infected *** focuses on detecting infected cells,which aids in the computation of parasitemia,or infection *** proposed model achieved 0.9929,0.9848,0.9859,0.9924,0.0152,0.0141,0.0071,0.9890,0.9894,and 0.9780 in terms of specificity,sensitivity,precision,accuracy,F1-score,and Matthews Correlation Coefficient,respectively.A comparison was carried out between the proposed model and some recent works in the *** comparison demonstrates that the proposed model outperforms the compared works in terms of evaluation metrics.

关键词： Deep learning malaria dataset diagnostic medical approach

LDSVM: Leukemia Cancer Classification Using Machine Learning

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Computers, Materials & Continua 2022年第5期71卷 3887-3903页

作者： Abdul Karim Azhari Azhari Mobeen Shahroz samir Brahim Belhaouri Khabib Mustofa Department of Computer Science&Electronics Universitas Gadjah MadaYogyakarta55281Indonesia Department of Artificial Intelligence The Islamia University of BahawalpurBahawalpur63100Pakistan Division of Information&Computer Technology College of Science&EngineeringHamad Bin Khalifa UniversityDoha5825Qatar

Leukemia is blood cancer, including bone marrow and lymphatictissues, typically involving white blood cells. Leukemia produces an abnormalamount of white blood cells compared to normal blood. Deoxyribonucleicacid (DNA) microarrays provide reliable medical diagnostic services to helpmore patients find the proposed treatment for infections. DNA microarraysare also known as biochips that consist of microscopic DNA spots attachedto a solid glass surface. Currently, it is difficult to classify cancers usingmicroarray data. Nearly many data mining techniques have failed becauseof the small sample size, which has become more critical for ***, they are not highly effective in improving results and are frequently employed by doctors for cancer diagnosis. This study proposes a novelmethod using machine learning algorithms based on microarrays of leukemiaGSE9476 cells. The main aim was to predict the initial leukemia *** learning algorithms such as decision tree (DT), naive bayes (NB),random forest (RF), gradient boosting machine (GBM), linear regression(LinR), support vector machine (SVM), and novel approach based on thecombination of Logistic Regression (LR), DT and SVM named as ensembleLDSVM model. The k-fold cross-validation and grid search optimizationmethods were used with the LDSVM model to classify leukemia in patientsand comparatively analyze their impacts. The proposed approach evaluatedbetter accuracy, precision, recall, and f1 scores than the other ***, the results were relatively assessed, which showed LDSVMperformance. This study aims to successfully predict leukemia in patientsand enhance prediction accuracy in minimum time. Moreover, a Syntheticminority oversampling technique (SMOTE) and Principal compenent analysis(PCA) approaches were implemented. This makes the records generalized andevaluates the outcomes well. PCA reduces the feature count without losing anyinformation and deals with class imbalanced dataset

关键词： Leukemia GSE9476 cancer genes classification machine learning ensemble LDSVM classifier

Effect of routine iron supplementation on copper level and oxidative stress status in pregnant women

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Asian pacific Journal of Reproduction 2020年第2期9卷 64-69页

作者： Derouiche samir Doudi Dalal Atia Noura Department of Cellular and Molecular Biology Faculty of the Sciences of Nature and LifeEl Oued UniversityEl Oued 39000El OuedAlgeria Laboratory of Biodiversity and Application of Biotechnology in the Agricultural Field Faculty of the Sciences of Nature and LifeUniversity of El OuedEl-Oued 39000Algeria

Objective:To determine the effects of routine iron supplementation on oxidative stress markers in pregnant ***:This study enrolled 122 pregnant women aged between 20-38 years throughout three stages of pregnancy:beginning with pregnancy,until the twentieth week and up to the thirtieth *** were divided into two groups:61 pregnant women not supplemented with iron(the control group),and 61 pregnant women supplemented with iron(the iron group).Blood samples were collected and protein,iron,uric acid,total bilirubin level and oxidative stress status were estimated using molecular spectrophotometric *** levels were estimated by using atomic absorption spectroscopy ***:Iron,protein and copper concentrations were significantly increased(P<0.05)at 20 and 30 weeks of pregnancy and hemoglobin level was significantly increased(P<0.05)at the beginning of pregnancy and until 20 weeks in the iron group compared to the control *** addition,levels of serum uric acid,serum total bilirubin and malondialdehyde in serum and erythrocytes were significantly increased at 20 and 30 weeks of pregnancy whereas the reduced glutathione level was significantly decreased in serum(30 weeks of pregnancy)and erythrocytes(20 and 30 weeks of pregnancy)in the iron group as compared to the control *** oxygen radical absorbance capacity was not significantly *** was a significant positive correlation between serum iron level and serum copper,malondialdehyde level in serum and erythrocytes in pregnant women supplemented with ***:Iron supplement at 20 and 30 weeks of pregnancy plays a role in the development of oxidative stress which is the origin of several maternal-fetal complications.

关键词： Pregnancy Iron Copper Oxidative stress Women

A semantic web services discovery approach based on a mobile agent using metadata

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International Journal of Intelligent Computing and Cybernetics 2017年第1期10卷 12-29页

作者： Nadia Ben Seghir Okba Kazar Khaled Rezeg samir Bourekkache LINFI Laboratory Computer Science DepartmentUniversity of BiskraBiskraAlgeria

Purpose-The success of web services involved the adoption of this technology by different service providers through the web,which increased the number of web services,as a result making their discovery a tedious *** UDDI standard has been proposed for web service publication and ***,it lacks sufficient semantic description in the content of web services,which makes it difficult to find and compose suitable web services during the analysis,search,and matching *** addition,few works on semantic web services discovery take into account the user’s *** purpose of this paper is to optimize the web services discovery by reducing the search space and increasing the number of relevant ***/methodology/approach-The authors propose a new approach for the semantic web services discovery based on the mobile agent,user profile and metadata *** the approach,each user can be described by a profile which is represented in two dimensions:personal dimension and preferences *** description of web service is based on two levels:metadata catalog and ***-First,the semantic web services discovery reduces the number of relevant services through the application of matching algorithm“semantic match”.The result of this first matching restricts the search space at the level of UDDI registry,which allows the users to have good results for the“functional match”.Second,the use of mobile agents as a communication entity reduces the traffic on the network and the quantity of exchanged ***,the integration of user profile in the service discovery process facilitates the expression of the user needs and makes intelligible the selected ***/value-To the best knowledge of the authors,this is the first attempt at implementing the mobile agent technology with the semantic web service technology.

关键词： Metadata Semantic web Mobile agent Ontologie User profile Web service Paper type Technical paper

Oscillation Theorems for Second-Order Nonlinear Neutral Delay Dynamic Equations on Time Scales

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Acta Mathematica Sinica,English Series 2008年第9期24卷 5-1432,1410页

作者： samir H.SAKER Donal O’REGAN Ravi P.AGARWAL Department of Mathematics College of Science King Saud University Riyadh 11451 Saudi Arabia Department of Mathematics National University of Ireland Galway Ireland Department of Mathematical Sciences Florida Institute of Technology Melbourne Florida 32901 USA

By employing the generalized Riccati transformation technique,we will establish some new oscillation criteria and study the asymptotic behavior of the nonoscillatory solutions of the second-order nonlinear neutral delay dynamic equation [r(t)[y(t)+p(t)y(■(t))]~Δ]~Δ+q(t)f(y((δ(t)))=0 on a time scale■.The results improve some oscillation results for neutral delay dynamic equations and in the special case when■our results cover and improve the oscillation results for second- order neutral delay differential equations established by Li and Liu[***.,48(1996), 871 886].When■,our results cover and improve the oscillation results for second order neutral delay difference equations established by Li and Yeh[***.,36(1998),123-132].When ■ ■our results are essentially *** examples illustrating our main results are given.

关键词： oscillation neutral delay dynamic equation generalized Riccati technique time scales

Spatial prediction and modeling of soil salinity using simple cokriging, artificial neural networks, and support vector machines in El Outaya plain, Biskra, southeastern Algeria

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Acta Geochimica 2021年第3期40卷 390-408页

作者： samir Boudibi Bachir Sakaa Zineeddine Benguega Haroun Fadlaoui Tarek Othman Narimen Bouzidi Laboratory of Ecosystem Diversity and Agricultural Production System Dynamics in Arid Zones(DEDSPAZA) Department of Agricultural SciencesMohamed Khider UniversityBiskraAlgeria Scientific and Technical Research Center on Arid Regions(CRSTRA) Campus of Mohamed Khider UniversityBP 1682 RP07000 BiskraAlgeria

Soil salinization is one of the most predominant environmental hazards responsible for agricultural land degradation,especially in the arid and semi-arid *** accurate spatial prediction and modeling of soil salinity in agricultural land are so important for farmers and decision-makers to develop the appropriate mechanisms to prevent the loss of fertile soil and increase crop *** Outaya plain is marked by soil salinity increases due to the excessive use of poor groundwater quality for *** study aims to compare the performance of simple kriging,cokriging(SCOK),multilayer perceptron neural networks(MLP-NN),and support vector machines(SVM)in the prediction of topsoil and subsoil *** field covariates including geochemical properties of irrigation groundwater and physical properties of soil and environmental covariates including digital elevation model and remote sensing derivatives were used as input candidates to SCOK,MLP-NN,and *** optimal input combination was determined using multiple linear stepwise regression(MLSR).The results revealed that the SCOK using field covariates including water electrical conductivity(ECw)and sand percentage(sand%),and environmental covariates including land surface temperature(LST),topographic wetness index(TWI),and elevation could significantly increase the accuracy of soil salinity spatial *** comparison of the prediction accuracy of the different modeling techniques using the Taylor diagram indicated that MLP-NN using LST,TWI,and elevation as inputs were more accurate in predicting the topsoil salinity[ECs(TS)]with a mean absolute error(MAE)of 0.43,root mean square error(RMSE)of 0.6 and correlation coefficient of ***-NN using ECw and sand%as inputs were more accurate in predicting the subsoil salinity[ECs(SS)]with MAE of 0.38,RMSE of0.6,and R of 0.968.

关键词： Soil salinity Cokriging Multilayer perceptron Machine learning El-Outaya plain

Dynamic track-soil interaction——calculations and measurements of slab and ballast tracks

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第1期22卷 21-36页

作者： Lutz AUERSCH samir SAID Federal Institute of Material Research and Testing Berlin 12200Germany

The dynamic behaviour of slab and ballast tracks was investigated using measurements and *** impacts and train passages were analysed and measurements were made using geophones(velocity transducers)which had been time-integrated to *** calculations were carried out in the frequency-wavenumber domain for multi-beamon-continuous soil *** characteristics of the different tracks and track elements were established in theory and by *** frequency-dependent compliances(displacement transfer functions)showed clear rail-on-railpad resonances or highly damped track-soil *** to the rail and sleeper,the track slab had much lower *** slab track usually had the highest rail amplitudes due to soft *** passage yielded track displacements which were a superposition of the axle loads from the two neighbouring axles of a bogie and from the two bogies of two neighbouring *** global behaviour was characteristic of the track slab of the slab track,whereas the rails of the slab and the ballast tracks behaved more locally with only one bogie of *** measurements agreed very well with the theory of continuous soil in the case of the six measured slab tracks and acceptably well for the six measured ballast *** measurements allowed us to find appropriate model parameters and to check the *** example,the Winkler model of the soil was found to be less appropriate because it reacted more locally.

关键词： Slab track Ballast track Train passage Hammer impact Track-soil interaction

Activity of a lipid synthesis inhibitor(spiromesifen) in Culiseta longiareolata(Diptera:Culicidae)

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Asian Pacific Journal of Tropical Biomedicine 2017年第12期7卷 1120-1124页

作者： Hayette Bouabida Fouzia Tine-djebbar samir Tine Noureddine Soltani University of Larbi Tebessi TebessaAlgeria Laboratory of Applied Animal Biology University Badji MokhtarAnnabaAlgeria

Objective: To evaluate the activity of spiromesifen against the most abundant and investigated mosquito species, Culiseta longiareolata Aitken, 1954(Diptera, Culicidae).Methods: Culiseta longiareolata larvae were collected from untreated areas located at Te′bessa(Northeast Algeria). A commercial formulation of spiromesifen(Oberon?240 SC) was tested at different concentrations ranging between 238 and 1 428 mg/L on newly molted fourth-instar larvae under standard laboratory conditions according to Word Health Organization recommendations. The effects were examined on the mortality, the morphometric measurements, two biomarkers(catalase and malondialdehyde), and the biochemical composition of larvae, ***: The compound exhibited insecticidal activity. Moreover, it disturbed growth and several morphological aberrations were observed. It also affected body volume,biomarkers and contents of carbohydrates, lipids and proteins. A marked effect on lipids and malondialdehyde was noted, confirming its primary mode of action on lipid ***: Spiromesifen appears less potent than other insecticides tested such as the insect growth disruptors.

关键词： Culiseta longiareolata Spiromesifen Toxicity Biochemical composition Biomarkers

Induced Surface Austenitic-Martensitic Transition by Mechanical Deformation in Mn *** of Surface Properties

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Journal of Iron and Steel Research International 2011年第S1期18卷 223-227页

作者： Boutarek-Zaourar Nama Mansour samir Amara Sif Eddine USTHB FGMGPBP 32 EL ALIA BAB EZZOUARALGER USTHB FCBP 32 EL ALIA BAB EZZOUARALGER

For a lot of applications in the mechanical industry,both attractive and mechanical properties of materials and wear resistance are *** such a combination is achieved only by performing surface *** aim of this investigation is the consolidation of 12% Mn steel surface by treatment of *** show by optical and scanning electron microscopy,X ray diffraction,X ray spectrometry analysis and also by the realization of micro hardness,the effect of this kind of treatment on the mechanical and structural stability of the surface *** of many obtained results,we distinguish the clear surface consolidation induced by a modification of surface zone crystalline *** mechanical deformation causes the transformation from an austenitic structure to the martensitic structure.

关键词： phase transition Mn steel mechanical deformation surface properties impact treatment