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Blockchain Mobile Wallet with Secure Offline Transactions

Computers, Materials & Continua 2023年第5期75卷 2905-2919页

作者： Raed Saeed Rasheed Khalil Hamdi Ateyeh Al-Shqeerat Ahmed Salah Ghorab fuad salama abuowaimer Aiman Ahmed AbuSamra Faculty of Engineering Islamic University of GazaP.O.Box 108GazaPalestine Department of Computer Science College of ComputerQassim UniversityP.O.Box 52211BuraydahSaudi Arabia University College of Applied Sciences P.O.Box 1415GazaPalestine Palestine Technical College P.O.Box 6037Deir ElBalahPalestine

There has been an increase in the adoption of mobile payment systems worldwide in the past few ***,poor Internet connection in rural regions continues to be an obstacle to the widespread use of such *** top of that,there are significant problems with the currently available offline wallets;for instance,the payee cannot verify the number of coins received without access to the ***,it has been demonstrated that some existing systems are susceptible to false token generation,and some do not even permit the user to divide the offline token into smaller portions to be used as *** paper proposes a blockchainbased wallet system that provides a secure mobile payment service even if a user cannot access a reliable Internet *** approach relies on Bluetooth and digital signatures to establish and build a trust connection between the *** proposed solution overcomes the main limitations of existing systems that use offline transactions,such as the generation of fake offline tokens and the indivisibility of offline *** user buys Offline Tokens(OTs)from a server called an Offline Token Manager(OTM)to use them later to perform offline *** mobile device must store a single,signed offline token transaction to prevent fake *** the other hand,all offline transactions will be kept as a history in a particular local ***,when the receiver becomes online,it will send a convert request to the OTMto change the value of the OTs to the appropriate amount in real *** step requires a connection to the *** evaluate the effectiveness of the system,the Solidity programming language was used to develop a smart contract on the Ethereum blockchain with a backend application programming interface(API)and an android mobile *** proposed method has an advantage over other prominent wallets.

关键词： Mobile wallet blockchain smart contracts digital signature

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Combined impacts of bioaugmentation and vermiremediation on crude oil-contaminated soil: Mitigating strategies for prospective environmental management

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Emerging Contaminants 2024年第2期10卷 123-134页

作者： fuad Ameen Ali A.Al-Homaidan Department of Botany&Microbiology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

This study aimed to address the remediation of crude oil-contaminated soil by employing four different factorial setups:I-used the earthworms(Eudrilus eugeniae)for vermiremediation,II–utilized the bacteria(Pseudomonas aeruginosa FA-7)for bioaugmentation,III–combined earthworms+bacteria to perform vermiremediation+bioaugmentation,and IV–served as abiotic ***,garden soil weighing 1 kg and 50 g of desiccated cow dung were introduced into the experimental groups and abiotic ***,different quantities of crude oil ranging from 5 to 20 mL were *** on the results,from 5 mL of oil-contaminated soil,the factorial setup-III removed the maximum proportion of total petroleum hydrocarbons(TPH)in V+B1(58.06%).The abiotic control treatments AC1(1.11%)exhibited the lowest TPH removal *** bioremediated soil had significantly(P<0.05)different physicochemical properties than the initial crude oil contaminated *** instance,earthworm and microbial action resulted in considerable reductions in pH(4.72%),total organic carbon(44.03%),total nitrogen(42.42%),total phosphorus(52.17%),and total potassium(22.64%)by the end of the *** the 60th day of factorial setup-III,the bacterial population(386.470±0.432 CFU×10^(6) g^(−1)),actinomycetes(188.043±0.246 CFU×10^(8) g^(−1)),and fungi(16.603±0.202 CFU×10^(5) g^(−1))were *** germination rates of Trigonella foenum-graecum seeds were increased by 86.6%in factorial setup III(V+B1)when compared to other factorial ***,the incorporation of vermiremediation and bioaugmentation provides a distinctive platform for effective oil-contaminated soil remediation.

关键词： Crude oil Eudrilus eugeniae Pseudomonas aeruginosa FA-7 Bioremediation Seed germination

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Developing Lexicons for Enhanced Sentiment Analysis in Software Engineering:An Innovative Multilingual Approach for Social Media Reviews

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Computers, Materials & Continua 2024年第5期79卷 2771-2793页

作者： Zohaib Ahmad Khan Yuanqing Xia Ahmed Khan Muhammad Sadiq Mahmood Alam fuad AAwwad Emad A.A.Ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

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Posture Detection of Heart Disease Using Multi-Head Attention Vision Hybrid(MHAVH)Model

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Computers, Materials & Continua 2024年第5期79卷 2673-2696页

作者： Hina Naz Zuping Zhang Mohammed Al-Habib fuad A.Awwad Emad A.A.Ismail Zaid Ali Khan School of Computer Science and Engineering Central South UniversityChangsha410003China Department of Quantitative analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia Electrical and Computer Engineering University of VictoriaVictoriaV9A1B8Canada

Cardiovascular disease is the leading cause of death *** disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as ***,minimizing the death ratio can be achieved by early detection of heart attack(HA)*** the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four ***,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives *** objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their *** address these challenges,we employ deep learning *** have utilized a vision transformer(ViT)to address this ***,it has a significant overhead cost due to its memory consumption and computational complexity because of scaling dot-product ***,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more *** response,we propose a three-in-one steam model,theMulti-Head Attention Vision Hybrid(MHAVH).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature extraction *** incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack *** the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original dat

关键词： Image analysis posture of heart attack(PHA)detection hybrid features VGG-16 ResNet-50 vision transformer advance multi-head attention layer

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Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach

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Animal Models and Experimental Medicine 2024年第1期7卷 36-47页

作者： Roa'a H.S.Yosief Iqbal M.Lone Aharon Nachshon Heinz Himmelbauer Irit Gat-Viks fuad A.Iraqi Department of Clinical Microbiology and Immunology Sackler Faculty of MedicineTel-Aviv UniversityTel-AvivIsrael School of Molecular Cell Biology and Biotechnology George S.Wise Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael Institute of Computational Biology Department of BiotechnologyUniversity of Natural Resources and Life SciencesMuthgasse 181190 ViennaAustria

Background:Aspergillus fumigatus(Af)is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic *** aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus(Af)using an RNAseq approach in CC lines and hepatic gene ***:We studied 31 male mice from 25 CC lines at 8 weeks old;the mice were infected with *** tissues were extracted from these mice 5 days post-infection,and next-generation RNA-sequencing(RNAseq)was *** GENE-E analysis platform was used to generate a clustered heat map ***:Significant variation in body weight changes between CC lines was *** gene expression revealed 12 top prioritized candidate genes differ-entially expressed in resistant versus susceptible mice based on body weight ***,three candidate genes are located within genomic intervals of the previ-ously mapped quantitative trait loci(QTL),including Gm16270 and Stox1 on chromo-some 10 and Gm11033 on chromosome ***:Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards *** a next step,eQTL analysis will be performed for our RNA-Seq *** candidate genes from our study will be further assessed with a human cohort with aspergillosis.

关键词： aspergillus fumigatus infection collaborative cross(CC)mice gene expression profile gene-network host susceptibility quantitative trait loci(QTL)mapping RNA-Seq

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Anomaly-Based Intrusion DetectionModel Using Deep Learning for IoT Networks

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 823-845页

作者： Muaadh A.Alsoufi Maheyzah Md Siraj fuad A.Ghaleb Muna Al-Razgan Mahfoudh Saeed Al-Asaly Taha Alfakih Faisal Saeed Faculty of Computing Universiti Teknologi Malaysia(UTM)Johor Bahru81310Malaysia DAAI Research Group College of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11345Saudi Arabia

The rapid growth of Internet of Things(IoT)devices has brought numerous benefits to the interconnected ***,the ubiquitous nature of IoT networks exposes them to various security threats,including anomaly intrusion *** addition,IoT devices generate a high volume of unstructured *** intrusion detection systems often struggle to cope with the unique characteristics of IoT networks,such as resource constraints and heterogeneous data *** the unpredictable nature of network technologies and diverse intrusion methods,conventional machine-learning approaches seem to lack *** numerous research domains,deep learning techniques have demonstrated their capability to precisely detect *** study designs and enhances a novel anomaly-based intrusion detection system(AIDS)for IoT ***,a Sparse Autoencoder(SAE)is applied to reduce the high dimension and get a significant data representation by calculating the reconstructed ***,the Convolutional Neural Network(CNN)technique is employed to create a binary classification *** proposed SAE-CNN approach is validated using the Bot-IoT *** proposed models exceed the performance of the existing deep learning approach in the literature with an accuracy of 99.9%,precision of 99.9%,recall of 100%,F1 of 99.9%,False Positive Rate(FPR)of 0.0003,and True Positive Rate(TPR)of *** addition,alternative metrics,such as training and testing durations,indicated that SAE-CNN performs better.

关键词： IoT anomaly intrusion detection deep learning sparse autoencoder convolutional neural network

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Matching traditional Chinese medicine and western medicine-based research:Advanced nutraceutical development for proactive gastric cancer prevention

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World Journal of Gastrointestinal Oncology 2024年第9期16卷 3798-3819页

作者： Matteo Micucci Bian-Zhao Xiang Chen-Min Ting Hiu-Yee Kwan Michele Mari Michele Retini Sabrina Burattini Riham Osman Udodinma Jude Okeke fuad Othman Abdullah Federico Gianfanti Michela Battistelli Department of Biomolecular Sciences University of Urbino Carlo BoUrbino 61029Italy Hong Kong Chinese Medicine Clinical Study Centre Chinese EQUATOR CentreSchool of Chinese MedicineChinese Clinical Trial Registry(Hong Kong)Hong Kong Baptist UniversityHong Kong 999077China Centre for Chinese Herbal Medicine Drug Development Hong Kong Baptist UniversityHong Kong 999077China Centre for Cancer and Inflammation Research School of Chinese MedicineHong Kong Baptist UniversityHong Kong 999077China Department of Chemistry College of ScienceSalahaddin University-ErbilErbil 44001Iraq Department of Pharmacognosy Faculty PharmacyTishk International UniversityErbil 44001Iraq Institute of Oncology Research Bellinzona CH6500Switzerland Universitàdella Svizzera Italiana Lugano CH6900Switzerland

Gastric cancer(GC),the third leading cause of cancer-related death globally,is complex and *** review explores multidisciplinary investigations of traditional Chinese medicine(TCM)combined with Western medical practices,emphasizing the development of nutraceuticals for cancer *** advanced analytical chemistry and food chemistry techniques,this study investigated how TCM components may be optimized for nutraceutical *** on molecular interactions with GC pathways,particularly the NF-κB,PI3K/Akt,and Wnt/β-catenin pathways,we examined the effects of TCM polyherbal formulas,extracts,and isolated *** agents modulate apoptosis and cellular proliferation,underscoring their potential in preventive *** convergence of nutraceutical and medicine food homology studies highlights a significant shift towards integrating TCM-derived compounds in a preventive health *** approach aims not only to enhance efficacy and reduce side effects but also to champion a preventive paradigm using personalized medicine to advance proactive health maintenance and disease *** combination of TCM and western medical practices offers promising avenues for future research and practical applications in GC prevention.

关键词： Traditional Chinese medicine Precision medicine Molecular network Phytochemistry Food chemistry Nutraceuticals Gastric cancer

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Role of viruses in periodontitis:An extensive review of herpesviruses,human immunodeficiency virus,coronavirus-19,papillomavirus and hepatitis viruses

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World Journal of Virology 2024年第4期13卷 7-23页

作者： Mohammed Khalid Mahmood Mohammed Taib Fatih Handren Ameer Kurda Nwsiba Khalid Mahmood Farman Uthman Shareef Hemin Faraidun Herve Tassery Delphine Tardivo Romain Lan Zana fuad Noori Balen Hamid Qadir Arman Dlshad Hassan Aix-Marseille University CNRSEFSADESMarseille 13000France College of Dentistry Komar University of Science and technologySulaimani 46001Iraq College of Dentistry Sulaimani UniversitySulaimani 46001Iraq Department of Biology College of ScienceSulaimani UniversitySulaimani 46001Iraq Department of Medical Laboratory Science College of ScienceCharmo UniversityChamchamal/Sulaimani 46001Iraq Department of Biology University of FreiburgMina BiotechFreiburg 79098Germany Department of Odontology Timone HospitalAix Marseille UniversityAPHMMarseille 13000FranceLBN LaboratoryMontpellier 34000France Department of Odontology Timone HospitalAix Marseille UniversityAPHMCNRSEFSADESMarseille 13000France Department of Dentistry American University of Sulaimani Iraq AUISSulaimani 46001Iraq Department of Biomedical Science University of DenverDenverCO 80014United States

Periodontitis is the inflammation of the supporting structures around the *** microbial agents,mostly bacteria,have been identified as causative factors for periodontal *** the other hand,oral cavity is a rich reservoir for viruses since it contains a wide variety of cell types that can be targeted by ***,the focus of research about the oral flora has been on bacteria because the most widespread oral diseases,like periodontitis and dental caries,are outcomes of bacterial ***,recently and especially after the emergence of coronavirus disease 2019,there is a growing tendency toward including viruses also into the scope of oral microbiome *** global high prevalence of periodontitis and viral infections may point out to a concomitant or synergistic effect between the *** the exact nature of the mechanism still is not clearly understood,this could be speculated through the manipulation of the immune system by viruses;hence facilitating the furthermore colonization of the oral tissues by *** review provides an extensive and detailed update on the role of the most common viruses including herpes family(herpes simplex,varicella-zoster,Epstein-Barr,cytomegalovirus),Human papillomaviruses,Human immunodeficiency virus and severe acute respiratory syndrome coronavirus 2 in the initiation,progression and prognosis of periodontitis.

关键词： Virus Periodontitis Bacteria Herpesvirus Herpes simplex virus Varicella-zoster virus Epstein-Barr virus Cytomegalovirus Human papillomaviruses SARS-CoV-2 Human immunodeficiency virus

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Arrhythmia Prediction on Optimal Features Obtained from the ECG as Images

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Computer Systems Science & Engineering 2023年第1期44卷 129-142页

作者： fuad A.M.Al-Yarimi Department of Computer Science King Khalid UniversityAbhaKingdom of Saudi Arabia

A critical component of dealing with heart disease is real-time identifi-cation,which triggers rapid *** main challenge of real-time identification is illustrated here by the rare occurrence of cardiac *** contribu-tions to cardiac arrhythmia prediction using supervised learning approaches gen-erally involve the use of demographic features(electronic health records),signal features(electrocardiogram features as signals),and temporal *** the signal of the electrical activity of the heartbeat is very sensitive to differences between high and low heartbeats,it is possible to detect some of the irregularities in the early stages of *** paper describes the training of supervised learning using features obtained from electrocardiogram(ECG)image to correct the limitations of arrhythmia prediction by using demographic and electrocardio-graphic signal *** experimental study demonstrates the usefulness of the proposed Arrhythmia Prediction by Supervised Learning(APSL)method,whose features are obtained from the image formats of the electrocardiograms used as input.

关键词： ECG records electrocardiogram morphological features(MF) empirical mode decomposition algorithm HOS

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Comparative Evaluation of Data Mining Algorithms in Breast Cancer

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Computers, Materials & Continua 2023年第10期77卷 633-645页

作者： fuad A.M.Al-Yarimi Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia

Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast *** only method to avoid breast cancer-related deaths is through early detection and *** proper classification of malignancies is one of the most significant challenges in the medical *** to their high precision and accuracy,machine learning techniques are extensively employed for identifying and classifying various forms of *** data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and accuracy of various algorithms for breast cancer diagnosis such that clinicians might use them to accurately detect cancer cells early *** article introduces several techniques,including support vector machine(SVM),K star(K∗)classifier,Additive Regression(AR),Back Propagation Neural Network(BP),and *** algorithms are trained using a set of data that contains tumor parameters from breast cancer *** the results,the author found that Support Vector Machine and Bagging had the highest precision and accuracy,***,assess the number of studies that provide machine learning techniques for breast cancer detection.

关键词： Many-core multi-core N-conjugate shuffle multi-port content addressable memory interconnection network

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