检索结果-南通市图书馆

International Journal of Ophthalmology(English edition) 2023年第3期16卷 375-381页

作者： sultan Alzuhairy Department of Ophthalmology College of MedicineQassim UniversityBuraidah 51452Saudi Arabia

AIM:To compare intraocular pressure(IOP)measured via the trans palpebral IOP(tp IOP)method using a Diaton or with a Goldman applanation tonometer(GAT)and study the determinants of IOP difference in eyes undergoing transepithelial photorefractive keratectomy(TPRK)for ***:This cross-sectional validation study was held in 2020 in an eye hospital in Saudi *** was measured by Diaton and GAT before treatment,after one week,and one month of *** is considered if IOP difference by Diaton and GAT was less than±2 mm Hg *** IOP difference was tested if correlated to spherical equivalent(SE),central corneal thickness(CCT),age,gender,or tp ***:Totolly 200 myopic eyes of 100 patients were included in the *** mean difference of IOP measured by two methods before TPRK,1wk,and 1mo after TPRK were 0.790,-0.790,and-0.920 mm Hg,respectively(P<0.001).Diaton could measure IOP effectively 89.5%eyes before TPRK and 82%and 84%at 1wk and 1mo after TPTK,*** week 1,IOP differences were significantly correlated to baseline CCT(P=0.02)and tp IOP at week 1(P<0.001).One month after TPRK,only tp IOP was significantly correlated to the difference in IOP(P<0.001).CONCLUSION:Diaton is a good screening tool for IOP before *** helps in monitoring IOP after *** more practical,it is less efficient than *** eyes with high myopia and low tp IOP before surgery,IOP post-TPRK by Diaton and GAT could differ.

关键词： intraocular pressure Goldman applanation tonometry trans palpebral tonometry myopia transepithelial photorefractive keratectomy

Rare earth elements in tropical surface water,soil and sediments of the Terengganu River Basin,Malaysia

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 Rare Earths 2009年第6期27卷 1072-1078页

作者： Khawar sultan Noor Azhar Shazili Institute of Oceanography University Malaysia TerengganuMengabang Telipot21030 Kuala TerengganuTerengganuMalaysia

The 14 stable rare earth element(REE) concentrations and distribution patterns were investigated for surface waters(n=51),soils(n=52) and sediments(n=42) from the tropical Terengganu River basin,*** chondrite normalized REE patterns of soils developed on four geological units showed enrichment of LREE,a pronounced negative Eu,and depletion of HREE with an enrichment order granite>>metasedimentary>alluvium>*** REE patterns in sediments reflected the soil REE patterns with an ove...

关键词： rare earth elements river/lake water soil sediment Malaysia

Antibacterial and anti-parasitic activities of Terfezia claveryi methanolic extract against some common pathogenic agents of infectious diarrhea

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2022年第5期12卷 216-222页

作者： sultan F Alnomasy Department of Medical Laboratories Sciences College of Applied Medical SciencesShaqra UniversityAl-Quwayiyah 19257Saudi Arabia

Objective:To assess the antidiarrheal effects of Terfezia claveryi methanolic extract against Escherichia coli,Salmonella typhimurium,Shigella flexneri,and Giardia ***:Antibacterial effects of the Terfezia claveryi methanolic extract were carried out by determining the minimum inhibitory concentration(MIC)and minimum bactericidal concentration through micro broth dilution ***,reactive oxygen species production and protein leakage were *** evaluate the in vitro anti-giardial effects of Terfezia claveryi methanolic extract,Giardia lamblia WB(ATCC®30957)trophozoites were treated with various concentrations of Terfezia claveryi methanolic extract for 10-360 *** addition,the plasma membrane permeability of trophozoites treated with Terfezia claveryi methanolic extract was *** cytotoxicity effects of Terfezia claveryi methanolic extract against normal(HEK293T)and cancer(MCF-7)cells were also assessed using the MTT ***:The MIC and minimum bactericidal concentration of Terfezia claveryi methanolic extract against bacterial strains were in the range of 0.52-1.04 and 1.04-2.08 mg/mL,*** results revealed that reactive oxygen species production and protein leakage were significantly increased after the bacteria were treated with the Terfezia claveryi methanolic extract,especially at 1/3 and 1/2 MICs(P<0.001).Furthermore,Terfezia claveryi methanolic extract decreased the viability of Giardia lamblia trophozoites in a dose-dependent *** claveryi methanolic extract at 1,2,and 4 mg/mL resulted in 100%mortality in Giardia lamblia trophozoites after 360,240,and 120 min,***,Terfezia claveryi methanolic extract altered the permeability of plasma membrane of Giardia lamblia trophozoites by increasing the *** assay revealed that the 50%cytotoxic concentrations values for HEK293T and MCF-7 cells were 4.32 mg/mL and 6.40 mg/mL,respectively,indicating that Terfezia clavery

关键词： Terfezia claveryi Shigellosis Giardiasis Herbal medicines Infectious diarrhea Cellular mechanisms Cytotoxicity Microbiology

Deep Learning Approach for Analysis and Characterization of COVID-19

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1期70卷 451-468页

作者： Indrajeet Kumar sultan S.Alshamrani Abhishek Kumar Jyoti Rawat Kamred Udham singh Mamoon Rashid Ahmed Saeed AlGhamdi School of Computing Graphic Era Hill UniversityDehradun(UK)India Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia School of Computing Dehradun Institute of TechnologyUttarakhandIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPuneIndia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Early diagnosis of a pandemic disease like COVID-19 can help deal with a dire situation and help radiologists and other experts manage human resources more *** a recent pandemic,laboratories perform diagnostics manually,which requires a lot of time and expertise of the laboratorial technicians to yield accurate ***,the cost of kits is high,and well-equipped labs are needed to perform this ***,other means of diagnosis is highly *** is one of the existing methods that finds its use in the diagnosis of *** radiography observes change in Computed Tomography(CT)chest images of patients,developing a deep learning-based method to extract graphical features which are used for automated diagnosis of the disease ahead of laboratory-based *** proposed work suggests an Artificial Intelligence(AI)based technique for rapid diagnosis of COVID-19 from given volumetric chest CT images of patients by extracting its visual features and then using these features in the deep learning *** proposed convolutional neural network aims to classify the infectious and non-infectious SARS-COV2 *** proposed network utilizes 746 chests scanned CT images of 349 images belonging to COVID-19 positive cases,while 397 belong to negative cases of *** experiment resulted in an accuracy of 98.4%,sensitivity of 98.5%,specificity of 98.3%,precision of 97.1%,and F1-score of 97.8%.The additional parameters of classification error,mean absolute error(MAE),root-mean-square error(RMSE),and Matthew’s correlation coefficient(MCC)are used to evaluate our proposed *** obtained result shows the outstanding performance for the classification of infectious and non-infectious for COVID-19 cases.

关键词： Coronavirus covid-19 respiratory infection computed tomography deep neural network

High throughput screening of localised and general corrosion in type 2205 duplex stainless steel at ambient temperature

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 Minerals,Metallurgy and Materials 2023年第12期30卷 2375-2385页

作者： Yiqi Zhou sultan Mahmood Dirk Lars Engelberg Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Metallurgy and Corrosion School of MaterialsThe University of ManchesterM139PLManchesterUK Materials Performance Centre The University of ManchesterM139PLManchesterUK

Bipolar electrochemistry is used to produce a linear potential gradient across a bipolar electrode(BPE),providing direct access to the anodic and cathodic reactions under a wide range of applied *** occurrence of pitting corrosion,crevice corrosion,and general corrosion on type 2205 duplex stainless steel(DSS 2205)BPE has been observed at room *** critical pit depth of 10-20μm with a55%-75% probability of pits developing into stable pits at potential from+0.9 to+1.2 V ***(open circuit potential)are *** pit nucleation sites are either within ferritic grains or at the interface between austenite and *** critical conditions for pitting and crevice corrosion are discussed with Epit(critical pitting potential)and Ecre(critical crevice potential)decreasing from 0.87 and 0.80 V *** after150 s of exposure to 0.84 and 0.76 V *** after 900 s of exposure,*** growth kinetics under different applied bipolar potentials and exposure times have been *** ferrite is shown to be more susceptible to general dissolution.

关键词： bipolar electrochemistry duplex stainless steel pitting corrosion pit growth factor crevice corrosion

DeepGan-Privacy Preserving of HealthCare System Using DL

在线全文

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第8期37卷 2199-2212页

作者： sultan Mesfer Aldossary Prince Sattam Bin Abdulaziz University Wadi Ad Dawaser11990Saudi Arabia

The challenge of encrypting sensitive information of a medical image in a healthcare system is still one that requires a high level of computing complexity,despite the ongoing development of *** looking through the previous research,it has become clear that the security issues still need to be looked into further because there is room for expansion in the research ***,neural networks have emerged as a cost-effective and effective optimization strategy in terms of providing security for *** revelation came about as a result of current ***,such an implementation is a technique that is expensive to compute and does not handle the huge variety of different assaults that may be made on *** primary objective of the system that has been described is to provide evidence of a complex framework in which deep neural networks have been applied to improve the efficiency of basic encryption *** research has led to the development and proposal of an enhanced version of methods that have previously been used to encrypt ***,the generative adversarial network(GAN),commonly known as GAN,will serve as the learning network that generates the private *** transformation domain,which reflects the one-of-a-kind fashion of the private key that is to be formed,is also meant to lead the learning network in the process of actually accomplishing the private key creation *** scheme may be utilized to train an excellent Deep Neural Networks(DNN)model while instantaneously maintaining the confidentiality of training medical *** was tested by the proposed approach DeepGAN on open-source medical datasets,and three sets of data:The Ultrasonic Brachial Plexus,the Montgomery County Chest X-ray,and the *** findings indicate that it is successful in maintaining both performance and privacy,and the findings of the assessment and the findings of the security investigation suggest that the de

关键词： Healthcare cryptography deep learning adversarial network privacy

Secured Framework for Assessment of Chronic Kidney Disease in Diabetic Patients

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第6期36卷 3387-3404页

作者： sultan Mesfer Aldossary Dean of the College of Arts and Sciences Prince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir11990Saudi Arabia

With the emergence of cloud technologies,the services of healthcare systems have ***,machine learning systems have become important tools for developing matured and decision-making computer *** cloud computing and machine learning technologies have contributed significantly to the success of healthcare ***,in some areas,these technologies are needed to provide and decide the next course of action for patients suffering from diabetic kidney disease(DKD)while ensuring privacy preservation of the medical *** address the cloud data privacy problem,we proposed a DKD prediction module in a framework using cloud computing services and a data control *** framework can provide improved and early treatment before end-stage renal *** prediction purposes,we implemented the following machine learning algorithms:support vector machine(SVM),random forest(RF),decision tree(DT),naïve Bayes(NB),deep learning(DL),and k nearest neighbor(KNN).These classification techniques combined with the cloud computing services significantly improved the decision making in the progress of DKD *** applied these classifiers to the UCI Machine Learning Repository for chronic kidney disease using various clinical features,which are categorized as single,combination of selected features,and all *** single clinical feature experiments,machine learning classifiers SVM,RF,and KNN outperformed the remaining classification techniques,whereas in combined clinical feature experiments,the maximum accuracy was achieved for the combination of DL and *** the feature experiments presented increased accuracy and increased F-measure metrics from SVM,DL,and RF.

关键词： Cloud computing diabetic kidney disease machine learning prediction system privacy preservation integrity of data secured data transmission homomorphic authentication

DL-Powered Anomaly Identification System for Enhanced IoT Data Security

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 2023年第12期77卷 2857-2879页

作者： Manjur Kolhar sultan Mesfer Aldossary Department Computer Science Prince Sattam Bin Abdulaziz UniversityWadi Ad-Dawaser11990Saudi Arabia

In many commercial and public sectors,the Internet of Things(IoT)is deeply *** security threats aimed at compromising the security,reliability,or accessibility of data are a serious concern for the *** to the collection of data from several IoT devices,the IoT presents unique challenges for detecting anomalous *** is the responsibility of an Intrusion Detection System(IDS)to ensure the security of a network by reporting any suspicious *** identifying failed and successful attacks,IDS provides a more comprehensive security capability.A reliable and efficient anomaly detection system is essential for IoT-driven *** deep learning-based anomaly detection,this study proposes an IoT anomaly detection system capable of identifying relevant characteristics in a controlled *** factors are used by the classifier to improve its ability to identify fraudulent IoT *** efficient outlier detection,the author proposed a Convolutional Neural Network(CNN)with Long Short Term Memory(LSTM)based Attention Mechanism(ACNN-LSTM).As part of the ACNN-LSTM model,CNN units are deployed with an attention mechanism to avoid memory loss and gradient *** the N-BaIoT and IoT-23 datasets,the model is *** to the N-BaIoT dataset,the overall accuracy is 99%,and precision,recall,and F1-score are also *** addition,the IoT-23 dataset shows a commendable accuracy of 99%.In terms of accuracy and recall,it scored 0.99,while the F1-score was *** LSTM model with attention achieved an accuracy of 95%,while the CNN model achieved an accuracy of 88%.According to the loss graph,attention-based models had lower loss values,indicating that they were more effective at detecting *** both the N-BaIoT and IoT-23 datasets,the receiver operating characteristic and area under the curve(ROC-AUC)graphs demonstrated exceptional accuracy of 99%to 100%for the Attention-based CNN and LSTM *** indicates that t

关键词： CNN IoT IDS LSTM security threats

IoT-Fog Architectures in Smart City Applications:A Survey

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Communications 2021年第11期18卷 117-140页

作者： Shahid sultan Hajam Shabir Ahmad Sofi Department of Information Technology National Institute of TechnologyHazaratbal Srinagar 190006Jammu and KashmirIndia

Smart cities improve the quality of life of people by utilizing the benefits of Information and communication technology(ICT)and the Internet of things(IoT).The applications of the smart city often rely on the cloud for *** doubt cloud provides an ample amount of resources as a service but still it has limitations in terms of unreliable latency,mobility,and location awareness due to their multi-hop distance from the IoT *** computing avoids these limitations by providing services nearer to the *** this work we investigate the already proposed IoT-Fog based application specific smart city architectures and review them based on scalability,heterogeneity,mobility,energy conservation,latency,and ***,we discuss the applications and highlight the challenges that fog computing *** also present a case study of a smart city scenario with multiple applications of IoT.

关键词： fog computing edge computing mobile edge computing resource allocation,offloading software defined networks smart city smart grid

A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province,Türkiye

在线全文

学校读者我要写书评

暂无评论

International Journal of Disaster Risk Science 2023年第2期14卷 326-341页

作者： Gizem Karakas sultan Kocaman Candan Gokceoglu Graduate School of Science and Engineering Hacettepe University06800BeytepeAnkaraTurkey Department of Geomatics Engineering Hacettepe University06800BeytepeAnkaraTurkey Department of Geological Engineering Hacettepe University06800BeytepeAnkaraTurkey

Preparation of accurate and up-to-date susceptibility maps at the regional scale is mandatory for disaster mitigation,site selection,and planning in areas prone to multiple natural *** this study,we proposed a novel multi-hazard susceptibility assessment approach that combines expert-based and supervised machine learning methods for landslide,flood,and earthquake hazard assessments for a basin in Elazig Province,Tü*** produce the landslide susceptibility map,an ensemble machine learning algorithm,random forest,was chosen because of its known performance in similar *** modified analytical hierarchical process method was used to produce the flood susceptibility map by using factor scores that were defined specifically for the area in the *** seismic hazard was assessed using ground motion parameters based on Arias intensity *** univariate maps were synthesized with a Mamdani fuzzy inference system using membership functions designated by *** results show that the random forest provided an overall accuracy of 92.3%for landslide susceptibility *** the study area,41.24%were found prone to multi-hazards(probability value>50%),but the southern parts of the study area are more *** proposed model is suitable for multi-hazard susceptibility assessment at a regional scale although expert intervention may be required for optimizing the algorithms.

关键词： Earthquakes Floods Fuzzy inference systems Landslides Multi-hazard susceptibility assessment Random forest Türkiye