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Oscillation Criteria of Second Order Half Linear Delay Dynamic Equations on Time Scales

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Acta mathematicae Applicatae Sinica 2017年第1期33卷 83-92页

作者： H.A. AGWO A.m.m. KHODIER heba A. HASSAN Department of mathematics Faculty of Education Ain Shams University 11757 beside Tabary school RoxyCairo Egypt

In this paper, we establish some new oscillation criteria for a non autonomous second order delay dynamic equation （r（t）g（x△（t）））△＋p（t）f（x（τ（t）））=0 on a time scale T. Oscillation behavior of this equation is not studied before. Our results not only apply on differential equations when T=R, difference equations when T=N but can be applied on different types of time scales such as when T=N for q〉1 and also improve most previous results. Finally, we give some examples to illustrate our main results.

关键词： time scales oscillation second order delay dynamic equations generalized Riccati technique generalized exponential function

Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

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Computers, materials & Continua 2023年第11期77卷 1855-1872页

作者： heba m.El-Hoseny heba F.Elsepae Wael A.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

Smart Prediction for Seamless mobility in F-HmIPv6 Based on Location Based Services

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China Communications 2018年第4期15卷 192-209页

作者： rawya rizk heba nashaat Electrical Engineering Department Port Said University Port Said 42523 Egyp

This paper proposed a new scheme for smooth handoff over F-HmIPv6 networks based on Location Based Services(LBS). It uses the available information about mobile node(mN) such as user mobility patterns and mN's velocity to reduce handoff latency. In the proposed scheme, the movement pattern of users plays an important role in the performance analysis. The proposed scheme develops LBS that records a number of mobility patterns based on user daily behavior, and exploits these information to reduce the handoff latency. The proposed scheme is analyzed and compared with F-HmIPv6 protocol. The results show that it improves the performance in terms of handoff latency, packet delivery cost, and location update cost. Specifically, the proposed scheme achieves the tradeoff between realizing a smooth handoff and minimizing the cost that is the demand for all customers of mobile services.

关键词： Cost functions F-HmIPv6 loca-tion based services macro handoff mobilitymanagement mobility prediction.

Repurposing verapamil for prevention of cognitive decline in sporadic Alzheimer's disease

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Neural Regeneration Research 2022年第5期17卷 1018-1019页

作者： heba A.Ahmed Tauheed Ishrat Department of Anatomy and Neurobiology University of Tennessee Health Science CenterMemphisTNUSA Pharmaceutical Sciences Neuroscience InstituteUniversity of Tennessee Health Science CenterMemphisTNUSA

Dementia is currently the only leading cause of death that is still on the rise,with its overall costs already surpassing those of cancer and heart disease combined,it has developed into a worldwide *** response to its serious and far-reaching effects,the US government has established the"National Alzheimer's Project Act"(Public Law 111-375).

关键词： Alzheimer prevention death verapamil

A Neural Network-Based Trust management System for Edge Devices in Peer-to-Peer Networks

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Computers, materials & Continua 2019年第6期59卷 805-815页

作者： Alanoud Alhussain heba Kurdi Lina Altoaimy Computer Science Department King Saud UniversityRiyadh11451Saudi Arabia Information Technology Department King Saud UniversityRiyadh11451Saudi Arabia

Edge devices in Internet of Things(IoT)applications can form peers to communicate in peer-to-peer(P2P)networks over P2P *** P2P networks ensures scalability and removes the need for centralized ***,due to the open nature of P2P networks,they often suffer from the existence of malicious peers,especially malicious peers that unite in groups to raise each other’s *** compromises users’safety and makes them lose their confidence about the files or services they are *** address these challenges,we propose a neural networkbased algorithm,which uses the advantages of a machine learning algorithm to identify whether or not a peer is *** this paper,a neural network(NN)was chosen as the machine learning algorithm due to its efficiency in *** experiments showed that the NNTrust algorithm is more effective and has a higher potential of reducing the number of invalid files and increasing success rates than other well-known trust management systems.

关键词： Trust management neural networks peer to peer machine learning edge devices

Repurposed anti-cancer epidermal growth factor receptor inhibitors: mechanisms of neuroprotective effects in Alzheimer’s disease

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Neural Regeneration Research 2022年第9期17卷 1913-1918页

作者： heba m.mansour Hala m.Fawzy Aiman S.El-Khatib mahmoud m.Khattab Department of Pharmacology Egyptian Drug AuthorityEDAformerly NODCARGizaEgypt Department of Pharmacology and Toxicology Faculty of PharmacyCairo UniversityCairoEgypt

Numerous molecular mechanisms are being examined in an attempt to discover disease-modifying drugs to slow down the underlying neurodegeneration in Alzheimer’s *** studies have shown the beneficial effects of epidermal growth factor receptor inhibitors on the enhancement of behavioral and pathological sequelae in Alzheimer’s *** the promising effects of epidermal growth factor receptor inhibitors in Alzheimer’s disease,there is no irrefutable neuroprotective evidence in well-established animal models using epidermal growth factor receptor inhibitors due to many un-explored downstream signaling *** caused controversy about the potential involvement of epidermal growth factor receptor inhibitors in any prospective clinical *** this review,the mystery beyond the under-investigation of epidermal growth factor receptor in Alzheimer’s disease will be ***,their molecular mechanisms in neurodegeneration will be ***,we will shed light on SARS-COVID-19 induced neurological manifestations mediated by epidermal growth factor ***,we will discuss future perspectives and under-examined epidermal growth factor receptor downstream signaling pathways that warrant more *** conclude that epidermal growth factor receptor inhibitors are novel effective therapeutic approaches that require further research in attempts to be repositioned in the delay of Alzheimer’s disease progression.

关键词： Alzheimer’s disease autophagy drug re-positioning epidermal growth factor receptor human epidermal growth factor receptor-2 neurodegenerative diseases neuroinflammation oxidative stress tyrosine kinase inhibitors

Anion gap as bio-diagnostic index in prediction of dystocia, retained placenta and delayed uterine involution of Baladi goat (Field study)

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Asian pacific Journal of Reproduction 2017年第5期6卷 231-237页

作者： mohamed El-Raey heba m El-Khaiat Department of Theriogenology Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt Department of Animal medicine Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt

Objective:To assess the anion gap (AG) validity in prediction the goat's fertility before ***: This study was carried out on two groups (20/20, aged 4–6 years and weighted 30–43 kg) of pluriparous pregnant Baladi goats. Animals were subjected to clinical examination, blood sampling to assess serum biochemical parameters in correlation with utrasonographic assessment of uterine horn involution (UTI) and placental dropping time after kidding. Unpaired studentt–test was used to detect the significance of differences (Pmong the different assessed parameters, analysis (r) was assigned atPme statistics ***:Results revealed that there were highly significant differences (Pmally and abnormally parturated goats concerning Cl–, K+, Na+, P, mg2+, Total/Ca2+, albumin, glucose and AG. Goats suffered from dystocia having high levels of HCO3–, cortisol and lactate. Additionally, there were significant differences (Pmally and abnormally parturated goat does regarding the process of UTI starting from 3rd to 10th wk after parturition. Furthermore, there was a highly significant difference (Pmally and abnormally parturated goat does concerning their placental dropping time;where, distressed/abnormally parturated goat having the longest time. Furthermore, there were highly strong correlation coefficient between mg2+, K+, Na+, HCO3–, glucose, albumin, AG and corrected AG concentrations during goat's prepartum period and UTI, placental dropping ***:Reporting serum bio-chemical changes and AG during goat's prepartum period could be used as diagnostic tool to judge the normality of parturition process, placental dropping, UTI and genital health, in other word, could be used as predictor for goat's fertility prior to parturition.

关键词： Goats Fertility Anion gap Uterus Placenta

A stepwise optimization strategy to formulate in situ gelling formulations comprising fluconazole-hydroxypropyl-beta-cyclodextrin complex loaded niosomal vesicles and Eudragit nanoparticles for enhanced antifungal activity and prolonged ocular delivery

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Asian Journal of Pharmaceutical Sciences 2020年第5期15卷 617-636页

作者： heba Elmotasem Ghada E.A.Awad Pharmaceutical Technology Department National Research CentreCairo 12622Egypt Chemistry of Natural and microbial Product Department National Research CentreCairo 12622Egypt

Fungal keratitis and endopthalmitis are serious eye ***(FL)is indicated for their treatment,but suffers from poor topical ocular *** study was intended to improve and prolong its ocular *** niosomal vesicles were prepared using span ***,polymeric nanoparticles were prepared using cationic Eudragit RS100 and Eudragit *** investigated particles had adequate entrapment efficiency(EE%),nanoscale particle size and high zeta ***,formulations were optimized using full factorial ***-HP-β-CD complex was encapsulated in selected Eudragit nanoprticles(FL-CD-ERS1)and niosmal *** niosomes were further coated with cationic and bioadhesive chitosan(FL-CD-Nios-ch).EE%for FL-CD-ERS1 and FL-CD-Niosch formulations were 76.4%and 61.7%;particle sizes were 151.1 and 392 nm;also,they exhibited satisfactory zeta potential+40.1 and+28.5 m *** situ gels were prepared by poloxamer P407,HPmC and chitosan and evaluated for gelling capacity,rheological behavior and gelling *** increase the precorneal residence time,free drug and selected nano-formulations were incorporated in the selected in situ *** study revealed sustained release within 24 *** through excised rabbits corneas demonstrated enhanced drug flux and large AUC0-6 h in comparison to plain *** permeation of selected formulations labeled with Rhodamine B was visualized by Confocal laser *** study and in vivo tolerance test evidenced *** vivo susceptibility test using Candida albicans depicted enhanced growth inhibition and sustained *** this study the adopted stepwise optimization strategy combined cylodextrin complexation,drug nano-encapsulation and loading within thermosenstive in situ ***,the developed innovated formulations displayed boosted corneal permeation,enhanced antifungal activity and prolonged action.

关键词： Fluconazole Ocular Eudragit nanoparticles Cyclodextrin Niosomes In situ gel

Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

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Computers, materials & Continua 2022年第12期73卷 5441-5458页

作者： heba G.mohamed Saud S.Alotaibi majdy m.Eltahir heba.m.hsen manar Ahmed Hamza Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed motwakel Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

The Internet of Drones(IoD)offers synchronized access to organized airspace for Unmanned Aerial Vehicles(known as drones).The availability of inexpensive sensors,processors,and wireless communication makes it possible in real time *** several applications comprise IoD in real time environment,significant interest has been received by research *** IoD operates in wireless environment,it is needed to design effective intrusion detection system(IDS)to resolve security issues in the IoD *** article introduces ametaheuristics feature selection with optimal stacked autoencoder based intrusion detection(mFSOSAEID)in the IoD *** major intention of the mFSOSAE-ID technique is to identify the occurrence of intrusions in the IoD *** do so,the proposed mFSOSAE-ID technique firstly pre-processes the input data into a compatible *** addition,the presented mFSOSAEID technique designs a moth flame optimization based feature selection(mFOFS)technique to elect appropriate ***,firefly algorithm(FFA)with stacked autoencoder(SAE)model is employed for the recognition and classification of intrusions in which the SAE parameters are optimally tuned with utilize of *** performance validation of the mFSOSAE-ID model was tested utilizing benchmark dataset and the outcomes implied the promising performance of the mFSOSAE-ID model over other techniques with maximum accuracy of 99.72%.

关键词： Internet of drones unmanned aerial vehicles security intrusion detection machine learning