检索结果-南通市图书馆

Primary gastroduodenal tuberculosis presenting as gastric outlet obstruction:A case report and review of literature

World Journal of Clinical Cases 2024年第8期12卷 1536-1543页

作者： Abdihamid mohamed Ali Yahye Garad mohamed Abdirahman Ahmed mohamud Abdulkadir Nor mohamed mohamed Rage Ahmed Ismail mohamud Abdullahi Tuba Saydam Department of General Surgery Mogadishu Somali Turkey Recep Tayyip Erdogan Training and Research HospitalMogadishu 2526Somalia Department of Radiology Mogadishu Somali TurkeyTraining and Research HospitalMogadishu 2526Somalia Department of Pathology Mogadishu Somali Turkey Recep Tayyip Erdogan Training and Research HospitalMogadishu 2526Somalia

BACKGROUND mycobacterium tuberculosis(TB)is the causative agent of TB,a chronic granulo-matous *** disease is prevalent in low-income countries,posing a significant global health *** TB is one of the three *** disease can mimic other intra-abdominal conditions,leading to delayed diagnosis owing to the absence of specific *** gastric outlet obs-truction(GOO)remains a frequent complication,its incidence has declined with the advent of proton pump inhibitors and Helicobacter pylori eradication *** TB can cause upper gastrointestinal hemorrhage,obstruction,and malignancy-like *** SUmmARY A 23-year-old male presented with recurrent epigastric pain,distension,nausea,vomiting,and weight loss,prompting a referral to a gastroenterologist *** examination revealed distorted gastric mucosa and signs of chronic ***,treatment was interrupted,possibly owing to vomiting or comorbidities such as human immunodeficiency virus infection or *** surgical intervention revealed a dilated stomach and diffuse thickening of the duodenal *** revealed gastric wall effacement with *** Primary gastric TB is rare,frequently leading to *** its rarity,suspicions should be promptly raised when encountering relevant symptoms,often requiring surgical intervention for diagnosis and treatment.

关键词： Tuberculosis Gastrointestinal tuberculosis Gastric outlet obstruction Gastroduodenal tuberculosis Case report

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

Phytoconstituents Profiling of Indigenous Herbal Drugs and Its in vitro microbial,in Silico Biological Examination against Severe Acute Respiratory Syndrome Coronavirus 2

引用

World Journal of Traditional Chinese medicine 2024年第1期10卷 121-136页

作者： T.H.mohamed Ahadu Shareef mmohamed Divan masood Irfan Navabshan mSaiyad musthafa Department of Chemistry The New College(Autonomous)Affiliated to the University of MadrasChennaiTamil NaduIndia School of Computer Applications B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennaiTamil NaduIndia Crescent School of Pharmacy B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennaiTamil NaduIndia Department of Zoology The New College(Autonomous)Affiliated to the University of MadrasChennaiTamil NaduIndia

Background:Habb-E-Shifa,Hamdard Sualin,and Hamdard Joshanda traditional herbal medicines may promote host resistance against infection by bacteria,viruses,and fungi which are easily accessible at inexpensive with no *** herbal medicines are used to cure sore throat,cough,fever,lung cancer,and asthma patients in developing South Asian *** traditional herbal medicines acted a crucial role in the prevention and control of coronavirus disease 2019(COVID-19).Aims and Objectives:This research article aimed at conducting phytochemistry,antimicrobial activity,COVID-19 docking and some spectroscopic(Infrared,Ultraviolet,13C-Nuclear magnetic Resonance(13C-NmR),1H-NmR,and mass Spectra)characterizations of the polyherbal drugs were carried ***,In-vitro and In-silico analyses were performed to measure activity against *** Performance-Liquid Chromatography(HPLC),Gas Chromatography-mass Spectrometry(GC-mS),antimicrobial,and docking studies were carried *** preliminary phytochemical assay and bioactive compounds were screened using HPLC and *** study is an attempt to assess the promising effects of selected polyherbal indigenous drugs such as Habb-E-Shifa,Hamdard Sualin,and Hamdard Joshanda phytoconstituents against the severe acute respiratory syndrome coronavirus-2(SARS-Co V-2).materials and methods:The extract of the selected polyherbal formulations showed high-to-moderate preventive effects on the growth inhibition in the pathogenic bacterium,namely Streptococcus oralis,Staphylococcus aureus,Propionibacterium acnes,Pseudomonas aeruginosa,Escherichia coli,and Proteus vulgaris,and three fungal Candida albicans,Aspergillus fumigatus,and Aspergillus *** docking study evaluates the pharmacological activity of bioactive chemical compounds with SARS-Co V-2 NSP5(PDB ID:7nxh)and SARS-Co V-2 Omicron spike protein with human angiotensin-converting enzyme 2(ACE-2)(PDB ID:7wk6).Results:In this study,for the first time,we at

关键词： Antimicrobial herbal drug Omicron and coronavirus disease 2019 phytochemicals spectroscopic

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

machine Learning Enabled Novel Real-Time IoT Targeted DoS/DDoS Cyber Attack Detection System

引用

Computers, materials & Continua 2024年第9期80卷 3655-3683页

作者： Abdullah Alabdulatif Navod Neranjan Thilakarathne mohamed Aashiq Department of Cybersecurity College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of ICT Faculty of TechnologyUniversity of ColomboColombo00700Sri Lanka Department of Computer Science and Engineering Faculty of EngineeringSouth Eastern University of Sri LankaOluvil32360Sri Lanka

The increasing prevalence of Internet of Things(IoT)devices has introduced a new phase of connectivity in recent years and,concurrently,has opened the floodgates for growing cyber *** the myriad of potential attacks,Denial of Service(DoS)attacks and Distributed Denial of Service(DDoS)attacks remain a dominant concern due to their capability to render services inoperable by overwhelming systems with an influx of *** IoT devices often lack the inherent security measures found in more mature computing platforms,the need for robust DoS/DDoS detection systems tailored to IoT is paramount for the sustainable development of every domain that IoT *** this study,we investigate the effectiveness of three machine learning(mL)algorithms:extreme gradient boosting(XGB),multilayer perceptron(mLP)and random forest(RF),for the detection of IoTtargeted DoS/DDoS attacks and three feature engineering methods that have not been used in the existing stateof-the-art,and then employed the best performing algorithm to design a prototype of a novel real-time system towards detection of such DoS/DDoS *** CICIoT2023 dataset was derived from the latest real-world IoT traffic,incorporates both benign and malicious network traffic patterns and after data preprocessing and feature engineering,the data was fed into our models for both training and validation,where findings suggest that while all threemodels exhibit commendable accuracy in detectingDoS/DDoS attacks,the use of particle swarmoptimization(PSO)for feature selection has made great improvements in the performance(accuracy,precsion recall and F1-score of 99.93%for XGB)of the mL models and their execution time(491.023 sceonds for XGB)compared to recursive feature elimination(RFE)and randomforest feature importance(RFI)*** proposed real-time system for DoS/DDoS attack detection entails the implementation of an platform capable of effectively processing and analyzing network traffic in *** inv

关键词： machine learning Internet of Things(IoT),DoS,DDoS cybersecurity intrusion prevention network security,feature optimization,sustainability

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

Shear Let Transform Residual Learning Approach for Single-Image Super-Resolution

引用

Computers, materials & Continua 2024年第5期79卷 3193-3209页

作者： Israa Ismail Ghada eltaweel mohamed meselhy eltoukhy Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia51422Egypt Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia

Super-resolution techniques are employed to enhance image resolution by reconstructing high-resolution images from one or more low-resolution ***-resolution is of paramount importance in the context of remote sensing,satellite,aerial,security and surveillance ***-resolution remote sensing imagery is essential for surveillance and security purposes,enabling authorities to monitor remote or sensitive areas with greater *** study introduces a single-image super-resolution approach for remote sensing images,utilizing deep shearlet residual learning in the shearlet transform domain,and incorporating the Enhanced Deep Super-Resolution network(EDSR).Unlike conventional approaches that estimate residuals between high and low-resolution images,the proposed approach calculates the shearlet coefficients for the desired high-resolution image using the provided low-resolution image instead of estimating a residual image between the high-and low-resolution *** shearlet transform is chosen for its excellent sparse approximation ***,remote sensing images are transformed into the shearlet domain,which divides the input image into low and high *** shearlet coefficients are fed into the EDSR *** high-resolution image is subsequently reconstructed using the inverse shearlet *** incorporation of the EDSR network enhances training stability,leading to improved generated *** experimental results from the Deep Shearlet Residual Learning approach demonstrate its superior performance in remote sensing image recovery,effectively restoring both global topology and local edge detail information,thereby enhancing image *** to other networks,our proposed approach outperforms the state-of-the-art in terms of image quality,achieving an average peak signal-to-noise ratio of 35 and a structural similarity index measure of approximately 0.9.

关键词： Super-resolution shearlet transform shearlet coefficients enhanced deep super-resolution network

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

Insulin resistance as the molecular link between diabetes and Alzheimer's disease

引用

World Journal of Diabetes 2024年第7期15卷 1430-1447页

作者： mona mohamed Ibrahim Abdalla Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetes mellitus(Dm)and Alzheimer's disease(AD)are two major health concerns that have seen a rising prevalence *** studies have indicated a possible link between Dm and an increased risk of developing ***,while primarily known for its role in regulating blood sugar,also plays a vital role in protecting brain *** resistance(IR),especially prevalent in type 2 diabetes,is believed to play a significant role in AD's *** insulin signalling becomes dysfunctional,it can negatively affect various brain functions,making individuals more susceptible to AD's defining features,such as the buildup of beta-amyloid plaques and tau protein *** research suggests that addressing insulin-related issues might help reduce or even reverse the brain changes linked to *** review aims to explore the relationship between Dm and AD,with a focus on the role of *** also explores the molecular mechanisms by which IR might lead to brain changes and assesses current treatments that target *** IR's role in the connection between Dm and AD offers new possibilities for treatments and highlights the importance of continued research in this interdisciplinary field.

关键词： Alzheimer's disease Insulin resistance Obesity Dementia Diabetes metabolic syndrome

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

An inverse method for characterization of dynamic response of 2D structures under stochastic conditions

引用

Chinese Journal of Aeronautics 2024年第3期37卷 440-455页

作者： Xuefeng LI Abdelmalek ZINE mohamed ICHCHOU Noureddine BOUHADDI Pascal FOSSAT Laboratory of Tribology and Systems Dynamic Central School of LyonEcully 69134France Institut Camille Jordan Central School of LyonEcully 69134France Department of Applied mechanics University of Burgundy Franche-ComtéBesancon 25000France

The reliable estimation of the wavenumber space(k-space)of the plates remains a longterm concern for acoustic modeling and structural dynamic behavior *** current analyses of wavenumber identification methods are based on the deterministic *** this end,an inverse method is proposed for identifying wave propagation characteristics of twodimensional structures under stochastic conditions,such as wavenumber space,dispersion curves,and band *** proposed method is developed based on an algebraic identification scheme in the polar coordinate system framework,thus named Algebraic K-Space Identification(AKSI)***,a model order estimation strategy and a wavenumber filter are proposed to ensure that AKSI is successfully *** main benefit of AKSI is that it is a reliable and fast method under four stochastic conditions:(A)High level of signal noise;(B)Small perturbation caused by uncertainties in measurement points’coordinates;(C)Non-periodic sampling;(D)Unknown structural *** validate the proposed method,we numerically benchmark AKSI and three other inverse methods to extract dispersion curves on three plates under stochastic *** experiment is then performed on an isotropic steel *** investigations demonstrate that AKSI is a good in-situ k-space estimator under stochastic conditions.

关键词： Inverse method Dispersion relation Wavenumber space Periodic plates Stochastic conditions Wave propagation characterization

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

Trauma to the solid abdominal organs:The missed dark box of colonoscopy

引用

World Journal of Gastroenterology 2024年第7期30卷 624-630页

作者： mohamed H Emara Usama mazid Yasmine A elshaer mahmoud A elkerdawy Dilaver Farooq malik Aya m mahros Department of Hepatology Gastroenterologyand Infectious DiseasesKafrelsheikh UniversityKafr-Elshikh 33516Egypt Department of medicine Alyousif HospitalAlkhobar 31952Saudi Arabia

Colonoscopy is an integral part of the lower bowel care and is generally considered a potentially safe diagnostic and therapeutic procedure performed as a daycare outpatient *** is associated with different complications that are not limited to adverse events related to the bowel preparation solutions used,the sedatives used,but to the procedure related as well including bleeding and *** to the extra-luminal abdominal organs during colonoscopy are uncommon,however,serious complications related to the procedure have been reported infrequently in the *** threatening injuries to the spleen,liver,pancreas,mesentery,and urinary bladder have been reported as early as in *** injuries should not be overlooked by clinicians and *** increasing abdominal pain,abdominal distension,and hemodynamic instability in absence of rectal bleeding should raise the possibility of severe organ *** and hepatic injury following colonoscopy are usually serious and may be life *** conservative management may help,yet they usually need interventional radiology or surgical *** pancreatitis following colonoscopy is usually mild and is mostly managed *** mechanism of abdominal organ injuries during colonoscopy is not fully understood,however many risk factors have been identified,which can be classified as-organ related,procedure related,and local abdominal *** colonoscopy and prior intra-abdominal adhesions are probably the most relevant risk factors for these *** lateral position,avoidance of looping and excessive force during the procedure would probably reduce the risk of such injuries.

关键词： Colonoscopy Pancreatitis Trauma Complications Adhesions

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

Classified VPN Network Traffic Flow Using Time Related to Artificial Neural Network

引用

Computers, materials & Continua 2024年第7期80卷 819-841页

作者： Saad Abdalla Agaili mohamed Sefer Kurnaz Department of electrical and Computer Engineering Altinbas UniversityIstanbul34000Turkey

VPNs are vital for safeguarding communication routes in the continually changing cybersecurity ***,increasing network attack complexity and variety require increasingly advanced algorithms to recognize and categorizeVPNnetwork *** present a novelVPNnetwork traffic flowclassificationmethod utilizing Artificial Neural Networks(ANN).This paper aims to provide a reliable system that can identify a virtual private network(VPN)traffic fromintrusion attempts,data exfiltration,and denial-of-service *** compile a broad dataset of labeled VPN traffic flows from various apps and usage ***,we create an ANN architecture that can handle encrypted communication and distinguish benign from dangerous *** effectively process and categorize encrypted packets,the neural network model has input,hidden,and output *** use advanced feature extraction approaches to improve the ANN’s classification accuracy by leveraging network traffic’s statistical and behavioral *** also use cutting-edge optimizationmethods to optimize network characteristics and *** suggested ANN-based categorization method is extensively tested and *** show the model effectively classifies VPN traffic *** also show that our ANN-based technique outperforms other approaches in precision,recall,and F1-score with 98.79%*** study improves VPN security and protects against new *** VPNtraffic flows effectively helps enterprises protect sensitive data,maintain network integrity,and respond quickly to security *** study advances network security and lays the groundwork for ANN-based cybersecurity solutions.

关键词： VPN network traffic flow ANN classification intrusion detection data exfiltration encrypted traffic feature extraction network security

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

Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

引用

Computer modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： mohamed Abdel-mongy mudassir Iqbal m.Farag Ahmed.m.Yosri Fahad Alsharari Saif eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

Alkali-activated materials/geopolymer(AAms),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingmATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(mAE),and rootmean square error(RmSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers

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 Practical Study of Intelligent Image-Based mobile Robot for Tracking Colored Objects

引用

Computers, materials & Continua 2024年第8期80卷 2181-2197页

作者： mofadal Alymani mohamed Esmail Karar Hazem Ibrahim Shehata College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Faculty of electronic Engineering Menoufia UniversityMenouf32952Egypt Faculty of Engineering Zagazig UniversityZagazig44519Egypt

Object tracking is one of the major tasks for mobile robots in many real-world ***,artificial intelligence and automatic control techniques play an important role in enhancing the performance of mobile robot *** contrast to previous simulation studies,this paper presents a new intelligent mobile robot for accomplishing multi-tasks by tracking red-green-blue(RGB)colored objects in a real experimental ***,a practical smart controller is developed based on adaptive fuzzy logic and custom proportional-integral-derivative(PID)schemes to achieve accurate tracking results,considering robot command delay and tolerance *** design of developed controllers implies some motion rules to mimic the knowledge of experienced *** scenarios of three colored object combinations have been successfully tested and evaluated by using the developed controlled image-based robot *** PID control failed to handle some tracking scenarios in this *** proposed adaptive fuzzy PID control achieved the best accurate results with the minimum average final error of 13.8 cm to reach the colored targets,while our designed custom PID control is efficient in saving both average time and traveling distance of 6.6 s and 14.3 cm,*** promising results demonstrate the feasibility of applying our developed image-based robotic system in a colored object-tracking environment to reduce human workloads.

关键词： mobile robot autonomous systems fuzzy logic control real-time image processing

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：