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TM Waves Propagation at Magnetoplasma-MTMs Interface

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World j.urnal of Condensed Matter Physics 2012年第4期2卷 171-174页

作者： Rifa j. el-khozondar hala j. el-khozondar Mohammed M. Shabat Alexander W. Koch electrical Engineering Department Islamic University of Gaza Gaza Palestine Physics Department Al-Aqsa University Gaza Palestine Physics Department Islamic University of Gaza Gaza Palestine Technical University Munich Instutite for Measure- ment Systems and Sensor Technology München Germany

A new structure for isolator is proposed in this work. The proposed structure consists of metamaterial-magnetoplasma semiconductors parallel plate structure. The utility of magnetoplasma semiconductors is promising in developing nonreciprocal components in the submillimeter-wave and millimeter-wave bands for satellite communications. Metamaterials (MTMs) is used to enhance the behavior of the isolator.

关键词： Magnetoplasma Metamaterials Submilimeter Waves Isolator Nonreciprocal Components

Influence of Magnetic Field Inhomogeneity on a Magneto-Optical Current Sensor

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j.urnal of Sensor Technology 2012年第1期2卷 19-22页

作者： hala j. el-khozondar Mathias S. Müller Rifa j. el-khozondar Alexander W. Koch electrical Engineering Department Islamic University of Gaza Gaza Palestine Measurements and Sensor Technology Technical University Munich Munich Germany Physics Department Al-Aqsa University Gaza Palestine

The growth in the capacity of electric power system creates a demand for the protection of relaying systems. Optical current transducers—OCT that are mainly made up of single mode optical fibers which are subj.cted to Faraday rotation are used as a replacement for electromagnetic transducers due to their immunity to electromagnetic interference. However, the principal parameter in this system, the sensitivity to magnetic fields or current, depends on the Verdet constant, which is low in the case of optical fibers. However, the optical path length can be increased to compensate for it by winding the fiber around a current carrying element a large number of turns. In this work, we study a current sensor, which is made up of a conductor coil with a fiber inside, thus increasing sensitivity. We study the effect of the inhomogeneity of the magnetic field induced by the current on the sensitivity of the optical fiber sensor.

关键词： Fiber Optic Sensors Magneto-Optical Sensor Faraday Rotation

The Sensitivity of TE Filed Propagating in LHM-Antiferromagnetic Sensor

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j.urnal of Chemistry and Chemical Engineering 2014年第4期8卷 421-427页

作者： Zeyad I. Al-Sahhar hala j. el-khozondar Mohamad M. Shabat Physics Department Al-Aqsa University Gaza P. O. Box 4051 Palestine electrical Engineering Department Islamic University Gaza P. O. Box 108 Palestine Physics Department Islamic University Gaza P. O. Box 108 Palestine

A three-layer waveguide structure sensor consists of LHMs （left-handed materials） film surrounded by dielectric cladding and antiferromagnetie substrate is proposed. LHMs known as MTMs （metamaterials） have simultaneous negative permeability and permittivity. The dispersion relation for the structure is derived for TE guided modes. Two ranges of frequencies are chosen such that Voigt permeability,μv, either negative or positive. The sensitivity is proven to be affected by different parameters including the film thickness, LHM parameters, and Voigt frequency.

关键词： MTMs LHMs antiferomagntic optical waveguide sensors sensitivity.

Therapeutic and regenerative potential of different sources of mesenchymal stem cells for cardiovascular diseases

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BIOCelL 2024年第4期48卷 559-569页

作者： YARA ALZGHOUL hala j.BANI ISSA AHMAD K.SANAj.EH TAQWA ALABDUH FATIMAH RABABAH MAHA AL-SHDAIFAT Ej.AL ABU-el-RUB FATIMAH ALMAHASNEH RAMADA R.KHASAWNEH AYMAN ALZU’BI HUTHAIFA MAGABLEH Department of Basic Medical Sciences Faculty of MedicineYarmouk UniversityIrbidJordan

Mesenchymalstemcells(MSCs)*** the internal cardiac microenvironment to facilitate their immunomodulatory and differentiation abilities,which are essential to restore heart *** can be easily isolated from different sources,including bone marrow,adipose tissues,umbilical cord,and dental *** from various sources differ in their regenerative and therapeutic abilities for cardiovascular *** this review,we will summarize the therapeutic potential of each MSC source for heart diseases and highlight the possible molecular mechanisms of each source to restore cardiac function.

关键词： Bone marrow mesenchymal stem cells Adipose tissue mesenchymal stem cells Dental pulp stem cells Umbilical cord mesenchymal stem cells Cardiomyocytes Regeneration Myocardial infarction Mesenchymal stem cells Differentiation Immunomodulation

Study of Utilization of Embedded Metal Nanoparticles in Dielectric Thin Film for Humidity Sensing

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Photonic Sensors 2020年第2期10卷 155-161页

作者： hala j.el-khozondar Waleed S.MOHAMMED Islamic University of Gaza Electrical Engineering DepartmentGaza-108Palestine Bangkok University BU-CROCCSSchool Of EngineeringPathumthani 12120Thailand

This paper presents a theoretical study of the utilization of the shift in the reflection peak of the thin dielectric film with embedded metal nanoparticles(NPs)towards humidity and vapor *** presence of the NPs in the film results in a complex effective ***,the reflected light at the superstrate-film interface causes a phase shift when the index of the surrounding is *** alters the reflected spectrum of the formed Fabry-Perot,for both the reflection peak wavelength and ***,the dynamic range of the proposed sensor is optimized through the variation of the film thickness and nanoparticle metal type,as well as the volume fraction.

关键词： Nanoparticles polymer film humidity sensor

Prediction of diabetes and hypertension using multi-layer perceptron neural networks

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International j.urnal of Modeling, Simulation, and Scientific Computing 2021年第2期12卷 120-137页

作者： Hani Bani-Salameh Shadi MAlkhatib Moawyiah Abdalla Mo’taz Al-Hami Ruaa Banat hala Zyod Ahed j.Alkhatib Department of Software Engineering The Hashemite University ZarqaJordan Department of Computer Information System The Hashemite University ZarqaJordan Department of Legal Medicine School of Medicine JUSTJordan

Background:Diabetes and hypertension are two of the commonest diseases in the *** they unfavorably affect people of different age groups,they have become a cause of concern and must be predicted and diagnosed well in ***:This research aims to determine the effectiveness of artificial neural networks(ANNs)in predicting diabetes and blood pressure diseases and to point out the factors which have a high impact on these ***:This work used two online datasets which consist of data collected from 768 *** applied neural network algorithms to predict if the individuals have those two diseases based on some *** prediction is based on five factors:age,weight,fat-ratio,glucose,and insulin,while blood pressure prediction is based on six factors:age,weight,fat-ratio,blood pressure,alcohol,and ***:A model based on the Multi-Layer Perceptron Neural Network(MLP)was *** inputs of the network were the factors for each disease,while the output was the prediction of the disease’s *** model performance was compared with other classifiers such as Support Vector Machine(SVM)and K-Nearest Neighbors(KNN).We used performance metrics measures to assess the accuracy and performance of ***,a tool was implemented to help diagnose the diseases and to understand the ***:The model predicted the two diseases with correct classification rate(CCR)of 77.6%for diabetes and 68.7%for *** results indicate that MLP correctly predicts the probability of being diseased or not,and the performance can be significantly increased compared with both SVM and *** shows MLPs effectiveness in early disease prediction.

关键词： Artificial Neural Network(ANN) Multi-Layer Perceptron(MLP) SVM KNN decision-making prediction tools diabetes blood pressure hypertension software tools

Battle Royale Optimization with Fuzzy Deep Learning for Arabic Sentiment Classification

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Computer Systems Science & Engineering 2023年第8期46卷 2619-2635页

作者： Manar Ahmed Hamza hala j.Alshahrani j.ber S.Alzahrani Heba Mohsen Mohamed I.eldesouki Mohammed Rizwanullah Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkah 24211Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Aspect-Based Sentiment Analysis(ABSA)on Arabic corpus has become an active research topic in recent *** refers to a fine-grained Sentiment Analysis(SA)task that focuses on the extraction of the conferred aspects and the identification of respective sentiment polarity from the provided *** of the prevailing Arabic ABSA techniques heavily depend upon dreary feature-engineering and pre-processing tasks and utilize external sources such as *** literature,concerning the Arabic language text analysis,the authors made use of regular Machine Learning(ML)techniques that rely on a group of rare sources and *** sources were used for processing and analyzing the Arabic language content like ***,an important challenge in this domain is the unavailability of sufficient and reliable *** this background,the current study introduces a new Battle Royale Optimization with Fuzzy Deep Learning for Arabic Aspect Based Sentiment Classification(BROFDL-AASC)*** aim of the presented BROFDL-AASC model is to detect and classify the sentiments in the Arabic *** the presented BROFDL-AASC model,data pre-processing is performed at first to convert the input data into a useful ***,the BROFDL-AASC model includes Discriminative Fuzzy-based Restricted Boltzmann Machine(DFRBM)model for the identification and categorization of ***,the BRO algorithm is exploited for optimal fine-tuning of the hyperparameters related to the FBRBM *** scenario establishes the novelty of current *** performance of the proposed BROFDL-AASC model was validated and the outcomes demonstrate the supremacy of BROFDL-AASC model over other existing models.

关键词： Arabic corpus aspect based sentiment analysis arabic language deep learning battle royale optimization natural language processing

Improved Fruitfly Optimization with Stacked Residual Deep Learning Based Email Classification

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Intelligent Automation & Soft Computing 2023年第6期36卷 3139-3155页

作者： hala j.Alshahrani Khaled Tarmissi Ayman Yafoz Abdullah Mohamed Abdelwahed Motwakel Ishfaq Yaseen Amgad Atta Abdelmageed Mohammad Mahzari Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah24211Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah22230Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia Department of English College of Science&HumanitiesPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia

Applied linguistics means a wide range of actions which include addressing a few language-based problems or solving some language-based *** stay in the leading positions for business as well as personal *** popularity grabs the interest of individuals with malevolent inten-tions—phishing and spam email *** filtering mechanisms were developed incessantly to follow unwanted,malicious content advancement to protect the *** prevailing solutions were focused on phishing email filtering and spam and whereas email labelling and analysis were not fully ***,this study provides a solution related to email message body text automatic classification into phishing and email *** paper presents an Improved Fruitfly Optimization with Stacked Residual Recurrent Neural Network(IFFO-SRRNN)based on Applied Linguistics for Email *** presented IFFO-SRRNN technique examines the intrinsic features of email for the identification of spam *** the preliminary level,the IFFO-SRRNN model follows the email pre-processing stage to make it compatible with further ***,the SRRNN method can be useful in recognizing and classifying spam *** hyperparameters of the SRRNN model need to be effectually tuned,the IFFO algorithm can be utilized as a hyperparameter *** investigate the effectual email classification results of the IFFO-SRDL technique,a series of simulations were taken placed on public datasets,and the comparison outcomes highlight the enhancements of the IFFO-SRDL method over other recent approaches with an accuracy of 98.86%.

关键词： Email classification applied linguistics improved fruitfly optimization deep learning recurrent neural network

Sine Cosine Optimization with Deep Learning-Based Applied Linguistics for Sentiment Analysis on COVID-19 Tweets

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Computers, Materials & Continua 2023年第6期75卷 4767-4783页

作者： Abdelwahed Motwakel hala j.Alshahrani Abdulkhaleq Q.A.Hassan Khaled Tarmissi Amal S.Mehanna Ishfaq Yaseen Amgad Atta Abdelmageed Mohammad Mahzari Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of English College of Science and Arts at MahayilKing Khalid UniversityMuhayil63763Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah24211Saudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11845Egypt Department of English College of Science&HumanitiesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Applied linguistics is an interdisciplinary domain which identifies,investigates,and offers solutions to language-related real-life *** new coronavirus disease,otherwise known as Coronavirus disease(COVID-19),has severely affected the everyday life of people all over the ***,since there is insufficient access to vaccines and no straight or reliable treatment for coronavirus infection,the country has initiated the appropriate preventive measures(like lockdown,physical separation,and masking)for combating this extremely transmittable ***,individuals spent more time on online social media platforms(i.e.,Twitter,Facebook,Instagram,LinkedIn,and Reddit)and expressed their thoughts and feelings about coronavirus *** has become one of the popular social media platforms and allows anyone to post *** study proposes a sine cosine optimization with bidirectional gated recurrent unit-based senti-ment analysis(SCOBGRU-SA)on COVID-19 *** SCOBGRU-SA technique aimed to detect and classify the various sentiments in Twitter data during the COVID-19 *** SCOBGRU-SA technique follows data pre-processing and the Fast-Text word embedding process to accomplish ***,the BGRU model is utilized to recognise and classify sen-timents present in the ***,the SCO algorithm is exploited for tuning the BGRU method’s hyperparameter,which helps attain improved classification *** experimental validation of the SCOBGRU-SA technique takes place using a benchmark dataset,and the results signify its promising performance compared to other DL models.

关键词： Applied linguistics deep learning sentiment analysis COVID-19 pandemic sine cosine optimization twitter