检索结果-南通市图书馆

Detection of Left Ventricular Cavity from Cardiac MRI Images Using Faster R-CNN

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1期74卷 1819-1835页

作者： Zakarya Farea Shaaf Muhammad Mahadi abdul Jamil Radzi Ambar ahmed abdu alattab Anwar Ali Yahya Yousef Asiri Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn MalaysiaParit RajaBatu Pahat86400JohorMalaysia Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajran61441Saudi Arabia Department of Computer Science Faculty of Computer Science and Info.SystemsThamar UniversityDhamar87246Yemen Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interest(ROI).The precise extraction of the LV’s ROI from cardiac MRI images is crucial for detecting heart disorders via cardiac segmentation or ***,this task appears to be intricate due to the diversities in the size and shape of the LV and the scattering of surrounding tissues across different ***,this study proposed a region-based convolutional network(Faster R-CNN)for the LV localization from short-axis cardiac MRI images using a region proposal network(RPN)integrated with deep feature classification and *** was trained using images with corresponding bounding boxes(labels)around the LV,and various experiments were applied to select the appropriate layers and set the suitable *** experimental findings showthat the proposed modelwas adequate,with accuracy,precision,recall,and F1 score values of 0.91,0.94,0.95,and 0.95,*** model also allows the cropping of the detected area of LV,which is vital in reducing the computational cost and time during segmentation and classification ***,itwould be an ideal model and clinically applicable for diagnosing cardiac diseases.

关键词： Cardiac short-axis MRI images automatic left ventricle localization deep learning models faster R-CNN

Data Reliability and Sensors Lifetime in Bridge Health Monitoring using LoRaWAN-Zigbee

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11期73卷 2663-2678页

作者： Awad Ali Reyazur Rashid Irshad ahmed abdu Alattaab Aamir Fatahayab Department of Computer Science College of Science and Arts-SharourahNajran UniversityNajranKingdom of Saudi Arabia Department of Computer Science JJTUJhunjhunuRajasthanIndia

The Wireless Sensor Network(WSN)is regarded as the fastest expanding technological trend in recent years due its application in a variety of *** the monitoring region,several sensor nodes with various sensing capabilities are installed to gather appropriate data and communicate it to the *** proposed system of the heterogeneous WSN employing LoRaWAN-Zigbee based hybrid communication is explored in this research *** communicate in a network,two Long–Range Wide Area Network(LoRaWAN)sensor clusters and two Zigbee sensor clusters are employed,together with two Zigbee and LoRaWAN *** suggested Golden eagle shepherd optimization(GESO)method then forms Zigbee as well as LoRaWAN networking ***,depending on energy usage and data packet size,the fitness of each sensor node is assessed using the Dynamic Intelligent Reasoning Based Neural(DIRN)*** software is used to implement and execute this *** the Zigbee network’s transmission distance is 650 m and the LoRaWAN network’s transmission range is 3.5 km,the system can function with a packet loss rate of less than 0.04 *** study shows significant gains in the performance of the system when compared to traditional approaches based on digital findings obtained on software solutions.

关键词： Zigbee LoRaWAN wireless sensor network health monitoring routing protocol

Graph-Based Feature Learning for Cross-Project Software Defect Prediction

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10期77卷 161-180页

作者： ahmed abdu Zhengjun Zhai Hakim A.Abdo Redhwan Algabri Sungon Lee School of Software Northwestern Polytechnical UniversityXi’anChina School of Computer Science Northwestern Polytechnical UniversityXi’anChina Department of Computer Science Hodeidah UniversityPO Box 3114Al-HudaydahYemen Research Institute of Engineering and Technology Hanyang UniversityAnsanKorea Department of Robotics Hanyang UniversityAnsanKorea

Cross-project software defect prediction(CPDP)aims to enhance defect prediction in target projects with limited or no historical data by leveraging information from related source *** existing CPDP approaches rely on static metrics or dynamic syntactic features,which have shown limited effectiveness in CPDP due to their inability to capture higher-level system properties,such as complex design patterns,relationships between multiple functions,and dependencies in different software projects,that are important for *** paper introduces a novel approach,a graph-based feature learning model for CPDP(GB-CPDP),that utilizes NetworkX to extract features and learn representations of program entities from control flow graphs(CFGs)and data dependency graphs(DDGs).These graphs capture the structural and data dependencies within the source *** proposed approach employs Node2Vec to transform CFGs and DDGs into numerical vectors and leverages Long Short-Term Memory(LSTM)networks to learn predictive *** process involves graph construction,feature learning through graph embedding and LSTM,and defect *** evaluation using nine open-source Java projects from the PROMISE dataset demonstrates that GB-CPDP outperforms state-of-the-art CPDP methods in terms of F1-measure and Area Under the Curve(AUC).The results showcase the effectiveness of GB-CPDP in improving the performance of cross-project defect prediction.

关键词： Cross-project defect prediction graphs features deep learning graph embedding

Recent advances and perspectives of nucleic acid detection for coronavirus

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 Pharmaceutical Analysis 2020年第2期10卷 97-101页

作者： Minzhe Shen Ying Zhou Jiawei Ye abdu ahmed abdullah AL-maskri Yu Kang Su Zeng Sheng Cai Institute of Drug Metabolism and Pharmaceutical Analysis Zhejiang Province Key Laboratory of Anti-Cancer Drug ResearchCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China

The recent pneumonia outbreak caused by a novel coronavirus(SARS-CoV-2)is posing a great threat to global public ***,rapid and accurate identification of pathogenic viruses plays a vital role in selecting appropriate treatments,saving people's lives and preventing *** is important to establish a quick standard diagnostic test for the detection of the infectious disease(COVID-19)to prevent subsequent secondary *** chain reaction(PCR)is regarded as a gold standard test for the molecular diagnosis of viral and bacterial infections with high sensitivity and *** nucleic acid amplification is considered to be a highly promising candidate method due to its fundamental advantage in quick procedure time at constant temperature without thermocycler opera-tion.A variety of improved or new approaches also have been *** review summarizes the currently available detection methods for coronavirus nucleic *** is anticipated that this will assist researchers and clinicians in developing better techniques for timely and effective detection of coro-navirus infection.

关键词： Coronavirus Nucleic acid detection PCR-Based methods Isothermal nucleic acid amplification-based methods Microarray-based methods

Synthesis and reactions of 2-[α-(3,4-disubstituted phenacyl)-p-substituted styryl]-4H-3,1-benzoxazin-4-ones

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

Chinese Journal of Chemistry 1996年第5期14卷 437-446页

作者： SOLIMAN,ahmed Youssef ATTIA,Ibrahim Abd El-Mogoud SALEM,Moneer abdu Ibrahim SOLIMAN,El-Sayedahmed GABER,Adel Mohy El-Deen Science Department Faculty of TeachersP.O.Box 2313Al Hasa31982Saudi Arabia Faculty of Engineering Ain Shames UniversityEgypt Chemistry Department Faculty of ScienceAin Shames UniversityEgypt

Conversion ofβ-aroyl propionic acids into furanone derivatives(2)and benzoxazinone derivatives(3)for the study of the reactivity of these nucleus towards different nucleophilic and elec-trophilic reagents.

关键词： Synthesis reaction beuzoxazinone derivatives

Structure and Performance of the Retail Outlets of Honey in the Kingdom of Saudi Arabia

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

Food and Nutrition Sciences 2014年第13期5卷 1168-1176页

作者： ahmed A. Al-Ghamdi abdu Zulail Nuru Adgaba Department of Agricultural Economics College of Food and Agriculture Science King Saud University Riyadh KSA Department of Plant Protection College of Food and Agriculture Sciences King Saud University Riyadh KSA

The study aimed at analyzing the most important factors affecting the retail marketing of honey in Saudi Arabia. Cross sectional survey was employed using field interview (direct contact) with a random sample of 343 retail outlets represented all its forms and patterns in seven major cities in Saudi Arabia. Measurements like market share, Gini coefficient and Herfindahl Hirschman Index (HHI) were used to estimate the indicators of market structure and its performance. The result showed that the structure of honey retail market is generally closer to pure competition with a small concentration in some areas. Gini coefficients of concentration, as well as the values of the Herfindahl Hirschman Index (HHI) were relatively low for retailers. The average marketing margin was about SAR 6.4/Kg for local honey while the marketing margin of imported honey was about SAR 113/Kg. The high profit margin variation between local and imported honey is due to the high marketing costs, lower supplied quantity and higher demand for local honey. The estimated cost of marketing of onekilogram of honey was about 8 SAR at the retail level. From retailers’ point of view, low quality, lack of marketing services, improper display, high rental property, lack of knowledge and experience of the consumer about properties and quality characteristics honey, high prices and shortage of some varieties of honey in some specific season are the most important problems of honey marketing in the Saudi market. Setting priorities between different brands of honey plays a noticeable role in marketing. Some honey producers and traders were very concerned about unfair competition of honey market through high promotion as a brand based on their long history in the production and supply of high-quality varieties of honey from specific and well-known varieties. Hence, intensive awareness creation effort through training, exhibition, media and advertisement are required to improve the perception of consumers towa

关键词： Honey Marketing Performance Retail Outlets Structure Saudi Arabia

Factors That Affect Consumption Patterns and Market Demands for Honey in the Kingdom of Saudi Arabia

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Food and Nutrition Sciences 2014年第17期5卷 1725-1737页

作者： Sobhy Ismaiel Safar Al Kahtani Nuru Adgaba ahmed A. Al-Ghamdi abdu Zulail Department of Agricultural Economics College of Food and Agriculture Science King Saud University Riyadh KSA College of Food and Agriculture Sciences King Saud University Riyadh KSA

Despite the significant annual consumption of honey in Saudi Arabia, information gaps remain with regard to the marketing and market structure of honey along the value chain. This study analyzed the major factors that influenced the consumption, expenditure patterns, and demand of honey in Saudi Arabia. This study forecasted the near-future expected market demands for honey in Saudi Arabia by collecting and analyzing the primary data using questionnaires. A total of 331 respondents from representative regions and large cities were randomly selected and interviewed. The data were analyzed using qualitative and quantitative methods as well as appropriate econometric models. Respondents characterized honey quality using organoleptic words, and these characterizations varied based on the relative significance of perception parameters. Taste, aroma, physical state, and color had aggregated average scores of 4.58, 4.44, 3.54, and 3.28, respectively. In addition to the above parameters, honey source, brand name, and confidence in the producers influenced its perceived quality. The major outlets for honey in Saudi Arabia included producers, specialized honey stores, and auction markets in major cities during the harvesting seasons. Medication, food, and sweetening were the major motivations for buying honey in the Saudi market, with aggregate scores of 4.52, 3.71, and 1.52, respectively. Significant honey price variations were observed within and among different honeys and packaging volumes;this finding might be due to factors such as botanical and geographical origins, package volume size economics (i.e., bulk purchases), honey variety blending, brand names, and producer policies. The average price of locally produced honey was approximately $73 per kg, which is 10 times more than the average price of honey in the US and the EU. The estimated consumption/income elasticity was 0.27. These results suggest that honey is a basic commodity in Saudi Arabia. Based on econometric

关键词： Honey Consumption Patterns Demand Forecasting Honey Quality Elasticity Marketing Deficiencies

Assessment of Liver Fatty Acid Binding Protein (L-FABP) as a Diagnostic Marker in Non-Alcoholic Fatty Liver Disease

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Gastroenterology 2019年第6期9卷 113-124页

作者： Badawy A. abdulaziz Sabry Anis abdu ahmed Mostafa Amin ahmed Khayri Abdel Hamid El Menyawi Abdelmoneam ahmed Medhat A. Khalil Walid A. Abdel Halim Hepatology Gastroenterology and Infectious Diseases Department Faculty of Medicine Benha University Benha Egypt Medical Microbiology and Immunology Tanta Faculty of Medicine Tanta University Tanta Egypt KafrElsheikh Hospital Internal Medicine Kafr El Sheikh Egypt Internal Medicine Department Faculty of Medicine Benha University Benha Egypt Department of Clinical and Chemical Pathology Faculty of Medicine Benha University Benha Egypt

Background: Non-Alcoholic Fatty Liver Disease (NAFLD) is the most common liver disease worldwide, it causes chronic hepatitis, which leads to cirrhosis and hepatocellular carcinoma. We aimed to assess the value of liver fatty acid binding protein (L-FABP) in the diagnosis of non-alcoholic fatty liver disease in comparison to ultrasonography. Patients and Methods: Ninty subjects were enrolled in this study who attended the Hepatology, Gastroenterology and Internal medicine clinics in Benha University Hospitals between January 2017 and January 2018 and divided into group I included 70 consecutive patients with non-alcoholic fatty liver disease who were diagnosed by ultrasound with or without elevated liver enzymes and group II included 20 healthy control subjects without NAFLD (by ultrasound) with normal liver enzymes. Serum levels of L-FABP were determined by enzyme-linked immunosorbent assay. Results: NAFLD patients were slightly older than healthy subjects as mean age in group I was (37.74 ± 11.7) while in group II was (36.5 ± 11.31). There was a slight increase in NAFLD in males, there was a high prevalence of NAFLD in the urban population. L-FABP levels in NAFLD patients were higher than in the control group (levels were 188.6 ± 34.94 and 137.7 ± 13.05 ng/l respectively). A strong correlation was found between L-FABP and ALT, AST, BMI and glucose levels. Analysis of ROC curve revealed that at a level 151.1 ng/sensitivity, specificity, PPV, NPV and accuracy were 83.3%, 71.8%, 31.3%, 96.6% and 73.3% respectively with AUC 0.839 and at a level 189.5 ng/sensitivity, specificity, PPV, NPV and accuracy were 90%, 90%, 95.4%, 95.4%, 88.9% with AUC was 0.950. Conclusion: Serum L-FABP could be used as a new diagnostic biomarker for detecting NAFLD.

关键词： NAFLD L-FABP Chronic Hepatitis Cirrhosis Hepatocellular Carcinoma

镧对铽荧光增强效应测定药物加替沙星胶囊中的加替沙星含量

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

药物资讯 2012年第2期1卷 15-20页

作者：赵悦辉李烨谭博马丽丽王冠乔李刚宋冬雪 abdullahabdu ahmed 郑极慧吕玉光佳木斯大学药学院佳木斯佳木斯市食品药品检验所佳木斯沈阳药科大学佳木斯

探讨第四代喹诺酮类药物加替沙星与稀土离子铽离子形成的配合物的荧光特性。应用荧光分光光度计测定药物加替沙星与稀土离子铽离子形成的配合物的荧光强度,通过加入表面活性剂、加入共发光离子La3+、改变溶液的pH等增敏方法选择最佳条... 详细信息

探讨第四代喹诺酮类药物加替沙星与稀土离子铽离子形成的配合物的荧光特性。应用荧光分光光度计测定药物加替沙星与稀土离子铽离子形成的配合物的荧光强度,通过加入表面活性剂、加入共发光离子La3+、改变溶液的pH等增敏方法选择最佳条件。镧对该体系具有较强的荧光增强效应,最佳的pH值为7.5,选用0.1 mol·L–1 NH4Cl-HCl效果最佳,加替沙星的最佳浓度为1.0*10–6 mol·L–1。对荧光新体系的荧光增强作用的机理进行了初步探讨,最终建立了Tb3+-La3+-GFLX-SDS新体系,上述研究对于稀土元素分析、生物和药物分析都具有潜在的应用价值,为稀土和喹诺酮类药物配合物的相关研究提供了一定的理论和实验基础,可以用于测定人工合成样品和制剂的含量,该方法选择性好,灵敏度高,结果令人满意。

关键词：稀土离子喹诺酮类加替沙星荧光分光光度法