检索结果-南通市图书馆

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

引用

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

New trends in pharmacological treatment of acute kidney injury

引用

Asian Pacific Journal of Tropical Biomedicine 2021年第7期11卷 285-297页

作者： heba m.I.Abdallah Department of Pharmacology Medical Research DivisionNational Research CentreGiza 12622Egypt

Acute kidney injury,previously known as acute renal failure(AKI),is defined as an abrupt decrease in kidney function that occurs within hours or *** new nomenclature opens a new door for possibility of treatment of developing renal injury before progression to unresolved renal *** arises due to diverse etiologic factors that rely mainly on three categories namely,prerenal,intrinsic renal,and post-renal factors with different clinical pictures,and confers a spectrum of injury ranging from mild to severe and sometimes leads to end-stage renal *** of pathogenesis and other factors generate barriers to developing effective treatments despite a large number of experimental and clinical *** this review,recent advances in the potential of the currently used drugs for renoprotection,novel pharmacological targets,and prospective therapeutics for AKI are *** information in this review was extracted from electronic resources(Pub med,Google Scholar,Wiley,Science Direct,Springer),and English scientific books by using keywords including kidney,injury,recent therapy,and pharmacological *** articles were carefully checked for their relevance to the current *** targets of cellular repair or regenerative processes involved in AKI such as autophagy,ferroptosis inhibition,and p53 antagonism seem to be effective in disease *** may help researchers and clinicians to understand how to target the interrelated molecular and cellular mechanisms underlying the pathogenesis of AKI.

关键词： Acute kidney injury Recent therapy Promising pharmacological targets

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

引用

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

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

引用

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)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Helicobacter pylori may be an initiating factor in newly diagnosed ulcerative colitis patients: A pilot study

引用

World Journal of Clinical Cases 2018年第13期6卷 641-649页

作者： Loai mansour Ferial El-Kalla Abdelrahman Kobtan Sherief Abd-Elsalam mohamed Yousef Samah Soliman Lobna Abo Ali Walaa Elkhalawany Ibrahim Amer heba Harras maha m Hagras mohamed Elhendawy Tropical medicine and Infectious Diseases Department Faculty of Medicine Tanta University Hepatology and Gastroenterology Department Faculty of Medicine Kafr El-Sheikh University Pathology Department Faculty of Medicine Tanta University Clinical Pathology Department Faculty of Medicine Tanta University

AIm To directly visualize Helicobacter pylori(H. pylori) by the highly sensitive and specific technique of immunohistochemical staining in colonic tissue from patients newly diagnosed with ulcerative colitis(UC).mETHODS Colonoscopic biopsies from thirty patients with newly diagnosed UC and thirty controls were stained with Giemsa stain and immunohistochemical stain for detection of H. pylori in the colonic tissue. Results were confirmed by testing H. pylori Ag in the stool then infected patients were randomized to receive either anti H. pylori treatment or *** Twelve/30(40%) of the UC patients were positive for H. pylori by Giemsa, and 17/30(56.6%) by immunohistochemistry stain. Among the control group 4/30(13.3%) and 6/30(20 %) were positive for H. pylori by Giemsa and immunohistochemistry staining respectively. H. pylori was significantly higher in UC than in controls(P = 0.04 and 0.007). All Giemsa positive patients and controls were positive by immunohistochemical stain. Four cases of the control group positive for H. pylori also showed microscopic features consistent with early *** H. pylori can be detected in colonic mucosa of patients with UC and patients with histological superficial ulcerations and mild infiltration consistent with early UC. There seems to be an association between UC and presence of H. pylori in the colonic tissue. Whether this is a causal relationship or not remains to be discovered.

关键词： Ulcerative colitis Immunohistochemical staining Inflammatory bowel disease Helicobacter pylori Giemsa stain

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

引用

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

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

引用

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

引用

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 mohsen 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

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Estimation of the Stress-Strength Reliability for Exponentiated Pareto Distribution Using median and Ranked Set Sampling methods

引用

Computers, materials & Continua 2020年第8期64卷 835-857页

作者： Amer Ibrahim Al-Omari Ibrahim m.Almanjahie Amal S.Hassan heba F.Nagy Department of mathematics Faculty of ScienceAl al-Bayt UniversityMafraq25113Jordan Department of mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt

In reliability analysis,the stress-strength model is often used to describe the life of a component which has a random strength(X)and is subjected to a random stress(Y).In this paper,we considered the problem of estimating the reliability𝑅𝑅=P[Ymaximum likelihood estimator of the stress strength reliability is calculated under simple random sample,ranked set sampling and median ranked set sampling *** different reliability estimators under median ranked set sampling are *** estimators are obtained when both strength and stress have an odd or an even set *** two other estimators are obtained when the strength has an odd size and the stress has an even set size and vice *** performances of the suggested estimators are compared with their competitors under simple random sample via a simulation *** simulation study revealed that the stress strength reliability estimates based on ranked set sampling and median ranked set sampling are more efficient than their competitors via simple random *** general,the stress strength reliability estimates based on median ranked set sampling are smaller than the corresponding estimates under ranked set sampling and simple random sample ***:Stress-Strength model,ranked set sampling,median ranked set sampling,maximum likelihood estimation,mean square *** estimates under ranked set sampling and simple random sample methods.

关键词： Stress-Strength model ranked set sampling median ranked set sampling maximum likelihood estimation mean square error

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Hunger Search Optimization with Hybrid Deep Learning Enabled Phishing Detection and Classification model

引用

Computers, materials & Continua 2022年第12期73卷 6425-6441页

作者： Hadil Shaiba Jaber S.Alzahrani majdy m.Eltahir Radwa marzouk heba mohsen manar Ahmed Hamza Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia 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 UniversityP.O.Box 84428Riyadh11671Saudi 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

Phishing is one of the simplest ways in cybercrime to hack the reliable data of users such as passwords,account identifiers,bank details,*** general,these kinds of cyberattacks are made at users through phone calls,emails,or instant *** anti-phishing techniques,currently under use,aremainly based on source code features that need to scrape the webpage *** third party services,these techniques check the classification procedure of phishing Uniform Resource Locators(URLs).Even thoughmachine Learning(mL)techniques have been lately utilized in the identification of phishing,they still need to undergo feature engineering since the techniques are not well-versed in identifying phishing *** tremendous growth and evolution of Deep Learning(DL)techniques paved the way for increasing the accuracy of classification *** this background,the current research article presents a Hunger Search Optimization with Hybrid Deep Learning enabled Phishing Detection and Classification(HSOHDL-PDC)*** presented HSOHDL-PDC model focuses on effective recognition and classification of phishing based on website *** addition,SOHDL-PDC model uses character-level embedding instead of word-level embedding since the URLs generally utilize words with no ***,a hybrid Convolutional Neural Network-Long Short Term memory(HCNN-LSTm)technique is also applied for identification and classification of *** hyperparameters involved in HCNN-LSTm model are optimized with the help of HSO algorithm which in turn produced improved *** performance of the proposed HSOHDL-PDC model was validated using different datasets and the outcomes confirmed the supremacy of the proposed model over other recent approaches.

关键词： Uniform resource locators phishing cyberattacks machine learning deep learning hyperparameter optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：