检索结果-南通市图书馆

Computers, Materials & Continua 2025年第1期82卷 949-976页

作者： nahed Alsaleh Reem Alnanih nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computer Science and EngineeringUniversity of HailHail81451Saudi Arabia

App reviews are crucial in influencing user decisions and providing essential feedback for developers to improve their *** the analysis of these reviews is vital for efficient review *** traditional machine learning(ML)models rely on basic word-based feature extraction,deep learning(DL)methods,enhanced with advanced word embeddings,have shown superior *** research introduces a novel aspectbased sentiment analysis(ABSA)framework to classify app reviews based on key non-functional requirements,focusing on usability factors:effectiveness,efficiency,and *** propose a hybrid DL model,combining BERT(Bidirectional Encoder Representations from Transformers)with BiLSTM(Bidirectional Long Short-Term Memory)and CNN(Convolutional Neural Networks)layers,to enhance classification *** analysis against state-of-the-art models demonstrates that our BERT-BiLSTM-CNN model achieves exceptional performance,with precision,recall,F1-score,and accuracy of 96%,87%,91%,and 94%,*** contributions of this work include a refined ABSA-based relabeling framework,the development of a highperformance classifier,and the comprehensive relabeling of the Instagram App Reviews *** advancements provide valuable insights for software developers to enhance usability and drive user-centric application development.

关键词： Requirements Engineering(RE) app review analysis usabilitymetrics hybrid deep learning BERT-BiLSTM-CNN

Unusual Cause of Acute Appendicitis: Bone Fragment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Surgical Science 2023年第3期14卷 221-224页

作者： Leh Bi Kalou Ismaèl Anzoua Kouakou Ibrahim N’Dri Ahou Bernadette Ekra Amos Serge Kouakou Blaise Amos dager nahed Bittar Issam Emmanuel Gruss University Hospital of Bouaké Bouake Ivory Coast Centre Hospitalier Intercommunal de Villeneuve Saint-Georges Paris France

Foreign bodies are a rare cause of appendicitis, because in most cases these ingested foreign bodies cross the digestive tract asymptomatically [1] [2] [3]. However, some penetrate the lumen of the appendix causing its inflammation. We report an unusual observation of acute appendicitis induced by a foreign body namely a bone fragment in the visceral surgery department of the Centre Hospitalier Intercommunal de Villeneuve Saint-Georges.

关键词： Acute Appendicitis Bone Fragment Emergency

An explicit and novel structure,lattice dynamics,and photoemission of La-doped nanocrystalline SrZrO_(3) perovskite

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Rare Metals 2021年第1期40卷 105-112页

作者： Kamilia Sedeek nahed Makram Hanan Hantour Taghreed Zaghloul Amer Shimaa Ali Said Nano-Materials Laboratory Physics DepartmentFaculty of ScienceAl-Azhar UniversityNasr CityCairo 11751Egypt Physics Department Faculty of ScienceAl-Azhar UniversityNasr CityCairo 11751Egypt

As no complete and comprehensive studies have been previously reported for La-doped nanocrystalline SrZrO_(3)(SZO),we researched herein a detailed investigation for pure and La-doped samples.A modified solid-state reaction process,including successive cycles of milling and sintering at high temperature,was followed to produce SZO and Sr_(0.9)La_(0.1)ZrO_(3)(SLZO)powdered *** analysis of X-ray diffractometer data predicts that the two samples exhibit orthorhombic structure with an increase in crystallite size by~25%for doped sample.A great reduction in Raman modes intensity(~60%)and an annihilation of several vibration modes were detected using Raman *** degree of ordering on the B-site was recorded to be higher in La-doped *** to ultraviolet-visible(UV-Vis)absorption,a decrease in the optical gap width(E_(g))from 4.40 eV to 4.21 eV was achieved by La incorporation due to the presence of additional defect states such as oxygen and Sr vacancies at the band *** process of electron-hole recombination was studied using photoluminescence(PL)*** of PL spectra yielded four emission bands:one green band,one blue band,and two violet *** intense violet emission atλ=393 nm approximately five times greater than that detected for pure SZO is realized as La^(3+)substitutes for Sr^(2+).Such property nominates SLZO for technological applications requiring highly intense violet emission,e.g.,light-emitting diodes.

关键词： Orthorhombic perovskite structure Lattice dynamics Diffused reflectance Photoluminescence Highly intense violet emission

Fusion of Hash-Based Hard and Soft Biometrics for Enhancing Face Image Database Search and Retrieval

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

Computers, Materials & Continua 2023年第12期77卷 3489-3509页

作者： Ameerah Abdullah Alshahrani Emad Sami Jaha nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

The utilization of digital picture search and retrieval has grown substantially in numerous fields for different purposes during the last decade,owing to the continuing advances in image processing and computer vision *** multiple real-life applications,for example,social media,content-based face picture retrieval is a well-invested technique for large-scale databases,where there is a significant necessity for reliable retrieval capabilities enabling quick search in a vast number of *** widely employ faces for recognizing and identifying ***,face recognition through formal or personal pictures is increasingly used in various real-life applications,such as helping crime investigators retrieve matching images from face image databases to identify victims and ***,such face image retrieval becomes more challenging in large-scale databases,where traditional vision-based face analysis requires ample additional storage space than the raw face images already occupied to store extracted lengthy feature vectors and takes much longer to process and match thousands of face *** work mainly contributes to enhancing face image retrieval performance in large-scale databases using hash codes inferred by locality-sensitive hashing(LSH)for facial hard and soft biometrics as(Hard BioHash)and(Soft BioHash),respectively,to be used as a search input for retrieving the top-k matching ***,we propose the multi-biometric score-level fusion of both face hard and soft BioHashes(Hard-Soft BioHash Fusion)for further augmented face image *** experimental outcomes applied on the Labeled Faces in the Wild(LFW)dataset and the related attributes dataset(LFW-attributes),demonstrate that the retrieval performance of the suggested fusion approach(Hard-Soft BioHash Fusion)significantly improved the retrieval performance compared to solely using Hard BioHash or Soft BioHash in isolation,where the suggested method provides an augmented

关键词： Face image retrieval soft biometrics similar pictures hashing database search large databases score-level fusion multimodal fusion

Ensemble Voting-Based Anomaly Detection for a Smart Grid Communication Infrastructure

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 3257-3278页

作者： Hend Alshede Laila Nassef nahed Alowidi Etimad Fadel Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Self-Development Skills Department Common First Year DeanshipKing Saud UniversityRiyadh12211Saudi Arabia

Advanced Metering Infrastructure(AMI)is the metering network of the smart grid that enables bidirectional communications between each consumer’s premises and the provider’s control *** massive amount of data collected supports the real-time decision-making required for diverse *** communication infrastructure relies on different network types,including the *** makes the infrastructure vulnerable to various attacks,which could compromise security or have devastating ***,traditional machine learning solutions cannot adapt to the increasing complexity and diversity of *** objective of this paper is to develop an Anomaly Detection System(ADS)based on deep learning using the CIC-IDS2017 ***,this dataset is highly imbalanced;thus,a two-step sampling technique:random under-sampling and the Synthetic Minority Oversampling Technique(SMOTE),is proposed to balance the *** proposed system utilizes a multiple hidden layer Auto-encoder(AE)for feature extraction and dimensional *** addition,an ensemble voting based on both Random Forest(RF)and Convolu-tional Neural Network(CNN)is developed to classify the multiclass attack *** proposed system is evaluated and compared with six different state-of-the-art machine learning and deep learning algorithms:Random Forest(RF),Light Gradient Boosting Machine(LightGBM),eXtreme Gradient Boosting(XGboost),Convolutional Neural Network(CNN),Long Short-Term Memory(LSTM),and bidirectional LSTM(biLSTM).Experimental results show that the proposed model enhances the detection for each attack class compared with the other machine learning and deep learning models with overall accuracy(98.29%),precision(99%),recall(98%),F_(1) score(98%),and the UNDetection rate(UND)(8%).

关键词： Advanced metering infrastructure smart grid cyberattack ensemble voting anomaly detection system CICIDS2017

Hybrid Deep Learning Based Attack Detection for Imbalanced Data Classification

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1期35卷 297-320页

作者： Rasha Almarshdi Laila Nassef Etimad Fadel nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computer Science and EngineeringUniversity of HailHailSaudi Arabia

Internet of Things(IoT)is the most widespread and fastest growing technology *** to the increasing of IoT devices connected to the Internet,the IoT is the most technology under security *** IoT devices are not designed with security because they are resource constrained ***,having an accurate IoT security system to detect security attacks is *** Detection Systems(IDSs)using machine learning and deep learning techniques can detect security attacks *** paper develops an IDS architecture based on Convolutional Neural Network(CNN)and Long Short-Term Memory(LSTM)deep learning *** implement our model on the UNSW-NB15 dataset which is a new network intrusion dataset that cate-gorizes the network traffic into normal and attacks *** this work,interpolation data preprocessing is used to compute the missing ***,the imbalanced data problem is solved using a synthetic data generation *** experiments have been implemented to compare the performance results of the proposed model(CNN+LSTM)with a basic model(CNN only)using both balanced and imbalanced ***,with some state-of-the-art machine learning classifiers(Decision Tree(DT)and Random Forest(RF))using both balanced and imbalanced *** results proved the impact of the balancing *** proposed hybrid model with the balance technique can classify the traffic into normal class and attack class with reasonable accuracy(92.10%)compared with the basic CNN model(89.90%)and the machine learning(DT 88.57%and RF 90.85%)***,comparing the proposed model results with the most related works shows that the proposed model gives good results compared with the related works that used the balance techniques.

关键词： IoT IDS deep learning machine learning CNN LSTM

Expanding the liver donor pool worldwide with hepatitis C infected livers, is it the time?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Transplantation 2024年第2期14卷 13-27页

作者： Mai Hashem Mohammed A Medhat Doaa Abdeltawab nahed A Makhlouf Fellow of Tropical Medicine and Gastroenterology Assiut University HospitalAssiut 71515Egypt Department of Tropical Medicine and Gastroenterology Faculty of MedicineAssiut UniversityAssiut 71515Egypt Department of Tropical Medicine and Gastroenterology Al-Rajhi Liver HospitalAssiut UniversityAssiut 71515Egypt

Liver transplantation(LT)provides a life-saving option for cirrhotic patients with complications and hepatocellular *** the increasing number of liver transplants performed each year,the number of LT candidates on the waitlist remains unchanged due to an imbalance between donor organ supply and the demand which increases the waitlist time and *** donor liver transplant had a great role in increasing the donor pool and shortened waitlist time for LT ***,further strategies can be implemented to increase the pool of potential donors in deceased donor LT,such as reducing the rate of organ *** hepatitis C virus(HCV)seropositive liver grafts is one of the expanded donor organ criteria.A yearly increase of hundreds of transplants is anticipated as a result of maximizing the utilization of HCV-positive organs for HCV-negative ***-acting antiviral therapy's efficacy has revolutionized the treatment of HCV infection and the use of HCV-seropositive donors in *** American Society of Transplantation advises against performing transplants from HCV-infected liver donors(D+)into HCV-negative recipient(R-)unless under Institutional Review Board-approved study rules and with full informed consent of the knowledge gaps associated with such *** selection of patients to be transplanted with HCV-infected grafts and confirming their access to direct-acting antivirals if needed is *** and international consensuses are needed to regulate this process to ensure the maximum benefit and the least adverse events.

关键词： Donor pool Hepatitis C-viremic organs Non-viremic organs Direct acting antivirals Hepatitis C virus treated Liver transplantation

Characteristics and outcome of newborn admitted with acute bilirubin encephalopathy to a tertiary neonatal intensive care unit

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Pediatrics 2019年第1期15卷 42-48页

作者： nahed Fahmy Helal Eman Abdel Ghany Abdel Ghany Walaa Alsharany Abuelhamd Amna Yehea Ahmed Alradem Department of Pediatrics Faculty of MedicineCairo UniversityCairoEgypt Ministry of Health CairoEgypt

Background Acute bilirubin encephalopathy (ABE) still represents a significant cause of morbidity and mortality throughout the world,especially in developing *** aimed to determine the prevalence of ABE based on the Johnson bilirubininduced neurologic dysfunction (BIND) score and to describe the discharge *** We prospectively studied all newborns ≥ 35 weeks with ABE by evaluating signs of mental sensorium,muscle tone,and cry patterns over 1 *** 12% (81 out of 674) of the newborns admitted for neonatal hyperbilirubinemia had a BIND score > *** admission age was 6 ± 4.1 days;total serum bilirubin (TSB) was 31.2± 10 mg/dL (range 17.5-75.2).Of these newborns,40.7% and 21% had evidence of haemolysis and sepsis,*** mortality was 9.9%;58% of the newborns showed signs of mild-to-moderate BIND at discharge,while 32.1% survived with an apparently normal *** BIND score was significantly correlated with admission TSB (r=0.476,P < 0.001).Similarly,BIND score at discharge was correlated with admission TSB (r=0.442,P < 0.001) and admission BIND score (r =0.888,P < 0.001).The regression model showed that admission TSB (P < 0.001) and maternal illiteracy (P =0.034) were predictors of the BIND score at admission,while admission BIND score was the best indicator of the discharge score (P < 0.001).Conclusions ABE is still a major problem in our *** TSB and maternal illiteracy are good predictors of bilirubin encephalopathy at admission and discharge.

关键词： Bilirubin-induced neurologic dysfunction Bilirubin encephalopathy Kernicterus Neonatal hyperbilirubinemia

Biodegradable PMMA coated Zn–Mg alloy with bimodal grain structure for orthopedic applications-A promising alternative

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Bioactive Materials 2024年第9期39卷 479-491页

作者： Alia ADiaa nahed El-Mahallawy Madiha Shoeib Flavien Mouillard Tom Fert′e Patrick Masson Adele Carrad`o Design and Production Engineering Department Faculty of EngineeringAin Shams UniversityCairo11517Egypt Department of Design and Production Engineering Faculty of Engineering and Materials ScienceGerman University in CairoCairo11835Egypt Central Metallurgical Research and Development Institute El TebbinCairo11722Egypt Institut de Physique et Chimie des Mat′eriaux de Strasbourg IPCMSUMR 7504 CNRSUniversit′e de Strasbourg67000StrasbourgFrance

The study examines the impact of microstructure and polymethyl methacrylate (PMMA) grafting on the degradability of Zn–Mg alloys. The mechanical properties ofa Zn alloy containing 0.68 wt% Mg and extruded at 200 ◦C are enhanced for degradable load-bearing applications, addressing a crucial need in the field. The materialexhibits a bimodal grain size distribution that is random texture, consisting of secondary phases, grains, and sub-grains. With an elongation to failure of 16 %, theyield and ultimate tensile strengths are 325.9 and 414.5 MPa, respectively, and the compressive yield strength is 450.5 *** “grafting-from” method was used to coat a few micrometers thick of PMMA on both bulk and scaffold Zn alloys to mitigate the corrosion rate. The last one is aporous structure, with a porosity of 65.8 %, considered as in the first approach of an orthopedic implant. After being immersed for 720 h, the PMMA-grafted bulkalloy’s corrosion rate decreased from 0.43 to 0.25 mm/y. Similarly, the scaffold alloy’s corrosion rate reduced from 1.24 to 0.49 mm/y. These results indicate that themethod employed could be used for future orthopedic applications.

关键词： alloy corrosion grain

Ki-67 as a prognostic marker according to breast cancer molecular subtype

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Cancer Biology & Medicine 2016年第4期13卷 496-504页

作者： nahed A.Soliman Shaimaa M.Yussif Department of Pathology Faculty of Medicine University of Helwan Department of Pathology Faculty of Medicine University of Mansoura

Objective: Ki-67 plays an important function in cell division, but its exact role is still unknown. Moreover, few works regarding its overall function were published. The present study evaluated the clinical significance of Ki-67 index as a prognostic marker and predictor of recurrence in different molecular subtypes of breast cancer. The relationship of Ki-67 index with different clinicopathological factors was also ***: Ki-67 index was measured in 107 cases of primary breast cancer from 2010-2012. These patients were evaluated for estrogen receptor, progesterone receptor, and HER2. Ki-67 was divided according to percentage levels: 15%. Followup ranged from 32 months up to 6 ***: Approximately 44, 23, 15, and 25 cases were grouped as luminal A, luminal B, HER2 subtype, and triple-negative(TN),respectively. No luminal A patients showed Ki-67 level higher than 15%, and their recurrence was 20%. In luminal B group, Ki-67 level higher than 15% was observed in 69% of patients, and recurrence was 39%. In HER2 subtype, Ki-67 was higher than 15% in34% of cases, and recurrence was 40%. In triple-negative cases, Ki-67 was higher than 15% in 60% of cases, and recurrence was detected in 32% of patients. Patients with Ki-67 less than 15% displayed better overall survival than those with Ki-67 higher than15%(P = 0.01). Patients with Ki-67 higher than 15% exhibited higher incidence of metastasis and recurrence than those with Ki-67 less than 15%(P = 0.000).Conclusions: Ki-67 may be considered as a valuable biomarker in breast cancer patients.

关键词： Ki-67 prognostic molecular subtypes breast cancer