检索结果-南通市图书馆

Spectrofluorimetric and Spectrophotometric Stability- Iwndicating Methods for the Analysis of Veralipride in Presence of Its Degradants and in Spiked Human Plasma

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Chemistry 2012年第1期30卷 183-189页

作者： Salama,Nahla nour El Din Ahmed Salem,Maissa Yacoub Abd El Halim,Lobna Mohammed Abdel Fattah,Laila EI-Sayed National Organization for Drug Control and Research(NODCAR) 6 Abu Hazem StreetPyramids AveP.O.Box 29GizaEgypt Analytical Chemistry Department Faculty of PharmacyCairo UniversityCairoEgypt Analytical Chemistry Department Faculty of PharmacyMisr University for Science and Technology6th of OctoberEgypt

Spectrofluorimetric and spectrophotometric stability-indicating methods were developed and validated for analysis of veralipride （Ver） in presence of its hydrolytic and oxidative degradants. The spectrofluorimetric method was based on direct measurement of the intrinsic fluorescence of Ver at 366 nm after excitation at 299 nm using sodium lauryl sulfate （SLS） as micelle enhancer. The fluorescence intensity plot was linear over the concentration range 1.0-10.0 ***-1. The high sensitivity of the method allowed its successful application to the analysis of Ver in spiked human plasma. Two other methods were developed. They are based on the oxidative coupling reac- tion of Vet with 3-methyl benzothiazolin-2-one hydrazone （MBTH） hydrochloride in presence of ceric ammonium sulphate in an acidic medium. The first method depends on spectrophotometric measurement of the stable green colored oxidative coupling product at 660 nm. The different experimental parameters affecting the reaction were optimized. Linearity range is 10.0--100.0 ~tgomL-1. The second method depends on a fluorescence quenching effect of Vet on the fluorescence of Ce3＋. The difference in fluorescence intensity was measured at 380 nm after excitation at 300 nm. This method is applicable over the concentration ranges 0.25-2.50 pg-mL-1. The methods were validated according to the ICH guidelines. They were successfully applied for the analysis of Ver in drug substance, drug product and in laboratory prepared mixtures containing different percentages of hydrolytic and oxidative degradants.

关键词： veralipride micelle-enhanced fluorescence MBTH validation stability fluorescence quenching Ce3+

Acquiring Fluency in Speaking English as a Foreign Language Through Role Play

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Sino-US English Teaching 2017年第5期14卷 316-320页

作者： nour Chahine Phoenix International School-University of Arts & Science in Lebanon Beirut Lebanon

One of the language skills required for international communication is speaking. While students learn English, they often face some problems. They are always some students who do not talk in class because they are too shy and afraid to make mistakes. In fact, the students face difficulties in speaking such as difficulties in arranging the sentences or the lack of motivation. Related to these problems, role-play could be a solution to overcome the problems of speaking. The aim of this research is to know the effect of using role-play in teaching speaking. This research uses pre-experimental design with one group pre-test and post-test for 15 students. In a nutshell, the test declared whether role-play has a significant effect on improving the students＇ speaking skills or not.

关键词： role-play speaking motivation

A Secured Message Transmission Protocol for Vehicular Ad Hoc Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第7期68卷 229-246页

作者： A.F.M.Suaib Akhter A.F.M.Shahen Shah Mohiuddin Ahmed nour Moustafa UnalÇavu¸soglu Ahmet Zengin Department of Computer Engineering Sakarya UniversitySakarya54050Turkey Department of Electrical and Electronics Engineering Istanbul Gelisim UniversityIstanbulTurkey School of Science Edith Cowan UniversityPerthWA6027Australia School of Engineering and Information Technology UNSWCanberra BC2610Australia

Vehicular Ad hoc Networks(VANETs)become a very crucial addition in the Intelligent Transportation System(ITS).It is challenging for a VANET system to provide security services and parallelly maintain high throughput by utilizing limited *** overcome these challenges,we propose a blockchain-based Secured Cluster-based MAC(SCB-MAC)*** nearby vehicles heading towards the same direction will form a cluster and each of the clusters has its blockchain to store and distribute the safety *** message which contains emergency information and requires Strict Delay Requirement(SDR)for transmission are called safety messages(SM).Cluster Members(CMs)sign SMs with their private keys while sending them to the blockchain to confirm authentication,integrity,and confidentiality of the message.A Certificate Authority(CA)is responsible for physical verification,key generation,and privacy preservation of the *** implemented a test scenario as proof of concept and tested the safety message transmission(SMT)protocol in a real-world *** and storage overhead analysis shows that the proposed protocol for SMT implements security,authentication,integrity,robustness,non-repudiation,*** maintaining the *** that are less important compared to the SMs are called non-safety messages(NSM)and vehicles use RTS/CTS mechanism for NSM *** studies show that the proposed NSM transmission method maintains 6 times more throughput,2 times less delay and 125%less Packet Dropping Rate(PDR)than traditional MAC *** results prove that the proposed protocol outperforms the traditional MAC protocols.

关键词： Ad hoc networks data security digital signatures distributed storage intelligent vehicles vehicular ad hoc networks wireless communication

Deep Learning Enabled Computer Aided Diagnosis Model for Lung Cancer using Biomedical CT Images

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第10期73卷 1437-1448页

作者： Mohammad Alamgeer Hanan Abdullah Mengash Radwa Marzouk Mohamed K nour Anwer Mustafa Hilal Abdelwahed Motwakel Abu Sarwar Zamani Mohammed Rizwanullah Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Early detection of lung cancer can help for improving the survival rate of the *** imaging tools such as computed tomography(CT)image was utilized to the proper identification and positioning of lung *** recently developed deep learning(DL)models can be employed for the effectual identification and classification of *** article introduces novel deep learning enabled CAD technique for lung cancer using biomedical CT image,named DLCADLC-BCT *** proposed DLCADLC-BCT technique intends for detecting and classifying lung cancer using CT *** proposed DLCADLC-BCT technique initially uses gray level co-occurrence matrix(GLCM)model for feature ***,long short term memory(LSTM)model was applied for classifying the existence of lung cancer in the CT ***,moth swarm optimization(MSO)algorithm is employed to optimally choose the hyperparameters of the LSTM model such as learning rate,batch size,and epoch *** demonstrating the improved classifier results of the DLCADLC-BCT approach,a set of simulations were executed on benchmark dataset and the outcomes exhibited the supremacy of the DLCADLC-BCT technique over the recent approaches.

关键词： Biomedical images lung cancer deep learning machine learning metaheuristics hyperparameter tuning

Sailfish Optimization with Deep Learning Based Oral Cancer Classification Model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第4期45卷 753-767页

作者： Mesfer Al Duhayyim Areej A.Malibari Sami Dhahbi Mohamed K.nour Isra Al-Turaiki Marwa Obayya Abdullah Mohamed Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Computer Science College of Computing and Information SystemUmm Al-Qura UniversityMecca24382Saudi Arabia Department of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh4545Saudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt

Recently,computer aided diagnosis(CAD)model becomes an effective tool for decision making in healthcare *** advances in computer vision and artificial intelligence(AI)techniques have resulted in the effective design of CAD models,which enables to detection of the existence of diseases using various imaging *** cancer(OC)has commonly occurred in head and neck *** identification of OC enables to improve survival rate and reduce mortality ***,the design of CAD model for OC detection and classification becomes ***,this study introduces a novel Computer Aided Diagnosis for OC using Sailfish Optimization with Fusion based Classification(CADOC-SFOFC)*** proposed CADOC-SFOFC model determines the existence of OC on the medical *** accomplish this,a fusion based feature extraction process is carried out by the use of VGGNet-16 and Residual Network(ResNet)***,feature vectors are fused and passed into the extreme learning machine(ELM)model for classification ***,SFO algorithm is utilized for effective parameter selection of the ELM model,consequently resulting in enhanced *** experimental analysis of the CADOC-SFOFC model was tested on Kaggle dataset and the results reported the betterment of the CADOC-SFOFC model over the compared methods with maximum accuracy of 98.11%.Therefore,the CADOC-SFOFC model has maximum potential as an inexpensive and non-invasive tool which supports screening process and enhances the detection efficiency.

关键词： Oral cancer computer aided diagnosis deep learning fusion model seagull optimization classification

Compact Bat Algorithm with Deep Learning Model for Biomedical EEG EyeState Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 4589-4601页

作者： Souad Larabi-Marie-Sainte Eatedal Alabdulkreem Mohammad Alamgeer Mohamed K nour Anwer Mustafa Hilal Mesfer Al Duhayyim Abdelwahed Motwakel Ishfaq Yaseen Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Electroencephalography(EEG)eye state classification becomes an essential tool to identify the cognitive state of *** can be used in several fields such as motor imagery recognition,drug effect detection,emotion categorization,seizure detection,*** the latest advances in deep learning(DL)models,it is possible to design an accurate and prompt EEG EyeState classification *** this view,this study presents a novel compact bat algorithm with deep learning model for biomedical EEG EyeState classification(CBADL-BEESC)*** major intention of the CBADL-BEESC technique aims to categorize the presence of EEG *** CBADL-BEESC model performs feature extraction using the ALexNet model which helps to produce useful feature *** addition,extreme learning machine autoencoder(ELM-AE)model is applied to classify the EEG signals and the parameter tuning of the ELM-AE model is performed using *** experimental result analysis of the CBADL-BEESC model is carried out on benchmark results and the comparative outcome reported the supremacy of the CBADL-BEESC model over the recent methods.

关键词： Biomedical signals EEG EyeState classification deep learning metaheuristics

Comparative study of the characterisation and extraction techniques of polyphenolic compounds from Acacia seyal gum

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Food Quality and Safety 2022年第1期6卷 24-33页

作者： Ahmed A.M.Elnour Mohamed E.S.Mirghani Nassereldeen A.Kabbashi Khalid Hamid Musa Fahimeh Shahabipour Nureddin Ashammakhi nour Hamid Abdurahman International Institute for Halal Research and Training International Islamic University MalaysiaKuala LumpurMalaysia Bioenvironmental Engineering Research Centre Biotechnology Engineering DepartmentKuliyah of EngineeringInternational Islamic University MalaysiaKuala LumpurMalaysia Institute of Gum Arabic&Desertification Studies University of KordofanElobiedSudan Department of Food Science and Human Nutrition College of Agriculture and Veterinary MedicineQassim UniversityBuraydahKingdom of SaudiArabia Skin Research Centre Shahid Beheshti University of Medical SciencesTehranIran Department of Bioengineering Henry Samueli School of EngineeringUniversity of CaliforniaLos AngelesCAUSA Department of Biomedical Engineering College of EngineeringMichigan State UniversityEast LansingMIUSA Centre of Excellence for Advanced Research in Fluid Flow University Malaysia PahangGambangMalaysia

Background Acacia seyal gum(ASG)is an abundant source of natural polyphenolic compounds(NPPCs)and antioxidant activity with numerous benefits and is often used in cancer *** type of extraction technique can significantly impact the yield and isolation of NPPCs from *** traditional use of maceration extraction reportedly yields fewer *** This study investigated five extraction techniques for NPPCs and ASG antioxidant activity,namely:homogenisation,shaking,ultrasonication,magneticstirring,*** and methods The evaluation of the antioxidant activity(AoA)of the extracted NPPCs from ASG used five assays,namely:total flavonoids content,Folin-Ciocalteu index,2,2-diphenyl-1-picrylhydrazyl radical scavenging activity,ferric reducing antioxidant power,and cupric *** To minimise the data set dimensionality requires principal component *** ultrasonic and maceration techniques were the best techniques to extract NPPCs and examine the AoA of ASG,with a high correlation between the NPPCs and ***,the maceration process was slow(12 h)compared to ultrasonication(1 h).Slow extraction can result in a decline of the NPPCs due to polyphenol oxidase-enzyme and impact *** These findings provide an essential guide for the choice of extraction techniques for the effective extraction of NPPCs from ASG and other plant materials.

关键词： Polyphenolic extraction gum Arabic comparison of techniques principal component analysis ultrasonication

Electrochemical Detection of the Different Species of Levofloxacin Using PVC,Carbon Paste and Screen‑Printed Electrodes:Effect of pH

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Analysis and Testing 2018年第2期2卷 175-183页

作者： nour ElDin T.Abdel Ghani Fatehy M.Abdel‑Haleem Sonia Mahmoud Rasha M.El Nashar Chemistry Department Faculty of ScienceCairo UniversityGizaEgypt

The zwitterionic compound,levofloxacin,was determined for the first time at different pH values in pure samples,pharmaceutical preparations and spiked serum and urine *** types of potentiometric sensors including poly(vinyl chloride)membrane electrode,carbon paste electrode and screen printed electrode,containing the ion pair levofloxaciniumphosphomolybdate as the electroactaive species,were used for this *** effect of pH is the key factor in determining the ratio of the different species that can exist in the medium(zwitterionic,monocationic,dicationic,anionic and neutral),and so it is the controller of the electrochemical *** different sensors were fully characterized and optimized in terms of composition,pH effect,selectivity,response and *** different sensors showed reliable reversibility and could be utilized for the determination of the drug in real spiked physiological fluids with reliable recovery values.

关键词： Levofloxacin Zwitterionic Poly(vinyl-chloride)(PVC)membrane electrode Carbon paste electrode(CPE) Screen-printed electrode(SPE)

Extraction of Signals Buried in Noise: Non-Ergodic Processes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Communications, Network and System Sciences 2010年第12期3卷 907-915页

作者： nourédine Yahya Bey 不详

In this paper, we propose extraction of signals buried in non-ergodic processes. It is shown that the proposed method extracts signals defined in a non-ergodic framework without averaging or smoothing in the direct time or frequency domain. Extraction is achieved independently of the nature of noise, correlated or not with the signal, colored or white, Gaussian or not, and locations of its spectral extent. Performances of the pro-posed extraction method and comparative results with other methods are demonstrated via experimental Doppler velocimetry measurements.

关键词： Buried Signals Stationary Non-Ergodic Processes Spectral Analysis White Noise Colored Noise Correlated Noise Doppler Velocimetry