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Phishing Attacks Detection Using EnsembleMachine learning Algorithms

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Computers, Materials & Continua 2024年第7期80卷 1325-1345页

作者： Nisreen Innab Ahmed Abdelgader Fadol Osman Mohammed Awad Mohammed Ataelfadiel Marwan abu-Zanona Bassam Mohammad Elzaghmouri farah H.Zawaideh Mouiad Fadeil Alawneh Department of Computer Science and Information Systems College of Applied SciencesAlmaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied College King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26110Jordan Department of Business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjloun26767Jordan

Phishing,an Internet fraudwhere individuals are deceived into revealing critical personal and account information,poses a significant risk to both consumers and web-based *** indicates a persistent rise in phishing ***,these fraudulent schemes are progressively becoming more intricate,thereby rendering them more challenging to ***,it is imperative to utilize sophisticated algorithms to address this *** learning is a highly effective approach for identifying and uncovering these harmful *** learning(Ml)approaches can identify common characteristics in most phishing *** this paper,we propose an ensemble approach and compare it with six machine learning techniques to determine the type of website and whether it is normal or not based on two phishing *** that,we used the normalization technique on the dataset to transform the range of all the features into the same *** findings of this paper for all algorithms are as follows in the first dataset based on accuracy,precision,recall,and F1-score,respectively:Decision Tree(DT)(0.964,0.961,0.976,0.968),Random Forest(RF)(0.970,0.964,0.984,0.974),Gradient Boosting(GB)(0.960,0.959,0.971,0.965),XGBoost(XGB)(0.973,0.976,0.976,0.976),AdaBoost(0.934,0.934,0.950,0.942),Multi layer Perceptron(MlP)(0.970,0.971,0.976,0.974)and Voting(0.978,0.975,0.987,0.981).So,the Voting classifier gave the best *** in the second dataset,all the algorithms gave the same results in four evaluation metrics,which indicates that each of them can effectively accomplish the prediction ***,this approach outperformed the previous work in detecting phishing websites with high accuracy,a lower false negative rate,a shorter prediction time,and a lower false positive rate.

关键词： Social engineering attacks phishing attacks machine learning security artificial intelligence

Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

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Computers, Materials & Continua 2024年第8期80卷 2081-2098页

作者： Atif Mehmood Zhonglong Zheng Rizwan Khan Ahmad Al Smadi farah Shahid Shahid Iqbal Mutasem K.Alsmadi Yazeed Yasin Ghadi Syed Aziz Shah Mostafa M.Ibrahim Department of Computer Science and Technology Zhejiang Normal UniversityJinhua321002China Zhejiang Institute of Photoelectronics&Zhejiang Institute for Advanced light Source Zhejiang Normal UniversityJinhua321004China Department of Data Science and Artificial Intelligence Zarqa UniversityZarqa13100Jordan School of Chemical and Environmental Engineering College of ChemistryChemical Engineering andMaterials ScienceSoochow UniversitySuzhou215123China Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammam32244Saudi Arabia Department of Computer Science Al Ain UniversityAbu Dhabi999041United Arab Emirates Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61519Egypt Healthcare Technology and Innovation Theme Faculty Research Centre for Intelligent HealthcareCoventry UniversityCoventryCV48BWUK

Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease(AD).Mild cognitive impairment(MCI)is a condition that falls between the spectrum of normal cognitive function and ***,previous studies have mainly used handcrafted features to classify MCI,AD,and normal control(NC)*** paper focuses on using gray matter(GM)scans obtained through magnetic resonance imaging(MRI)for the diagnosis of individuals with MCI,AD,and *** improve classification performance,we developed two transfer learning strategies with data augmentation(i.e.,shear range,rotation,zoom range,channel shift).The first approach is a deep Siamese network(DSN),and the second approach involves using a cross-domain strategy with customized *** performed experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset to evaluate the performance of our proposed *** experimental results demonstrate superior performance in classifying the three binary classification tasks:NC ***,NC ***,and MCI ***,we achieved a classification accuracy of 97.68%,94.25%,and 92.18%for the three cases,*** study proposes two transfer learning strategies with data augmentation to accurately diagnose MCI,AD,and normal control individuals using GM *** findings provide promising results for future research and clinical applications in the early detection and diagnosis of AD.

关键词： Alzheimer’s disease mild cognitive impairment normal control transfer learning classification augmentation

Axonal regeneration and sprouting as a potential therapeutic target for nervous system disorders

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Neural Regeneration Research 2021年第10期16卷 1901-1910页

作者： Katherine l.Marshall Mohamed H.farah Department of Neurology at Johns Hopkins School of Medicine BaltimoreMDUSA

Nervous system disorders are prevalent health issues that will only continue to increase in frequency as the population ***-back axonopathy is a hallmark of many neurologic diseases and leads to axonal disconnection from their targets,which in turn leads to functional *** the course of many of neurologic diseases,axons can regenerate or sprout in an attempt to reconnect with the target and restore synapse *** amyotrophic lateral sclerosis(AlS),distal motor axons retract from neuromuscular junctions early in the disease-course before significant motor neuron *** is evidence of compensatory motor axon sprouting and reinnervation of neuromuscular junctions in AlS that is usually quickly overtaken by the disease *** drugs that enhance compensatory sprouting and encourage reinnervation may slow symptom progression and retain muscle function for a longer period of time in AlS and in other diseases that exhibit dying-back *** remain many outstanding questions as to the impact of distinct disease-causing mutations on axonal outgrowth and regeneration,especially in regards to motor neurons derived from patient induced pluripotent stem *** microfluidic chambers are powerful tools for studying the distal axons of human induced pluripotent stem cells-derived motor neurons,and have recently been used to demonstrate striking regeneration defects in human motor neurons harboring AlS disease-causing *** the human neuromuscular circuit with human induced pluripotent stem cells-derived motor neurons will be critical for developing drugs that enhance axonal regeneration,sprouting,and reinnervation of neuromuscular *** this review we will discuss compensatory axonal sprouting as a potential therapeutic target for AlS,and the use of compartmentalized microfluidic devices to find drugs that enhance regeneration and axonal sprouting of motor axons.

关键词： amyotrophic lateral sclerosis axonal regeneration dying-back axonopathy in vitro neuromuscular junction iPSC-derived motor neurons microfluidic device motor axon sprouting

Turnkey algorithmic approach for the evaluation of gastroesophageal reflux disease after bariatric surgery

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Gastroenterology Report 2023年第1期11卷 123-130页

作者： Omar M.Ghanem Rabih Ghazi farah Abdul Razzak Fateh Bazerbachi Karthik Ravi leena Khaitan Shanu N.Kothari Barham K.abu Dayyeh Department of Surgery Mayo ClinicRochesterMNUSA Department of Medicine Mayo ClinicRochesterMNUSA CentraCare Interventional Endoscopy ProgramSt Cloud HospitalSt CloudMNUSA Department of Surgery CaseWestern Reserve UniversityClevelandOHUSA Department of Surgery Prisma HealthGreenvilleSCUSA

Bariatric surgeries are often complicated by de-novo gastroesophageal reflux disease(GERD)or worsening of pre-existing *** growing rates of obesity and bariatric surgeries worldwide are paralleled by an increase in the number of patients requiring post-surgical GERD ***,there is currently no standardized approach for the assessment of GERD in these *** this review,we delineate the relationship between GERD and the most common bariatric surgeries:sleeve gastrectomy(SG)and Roux-en-Y gastric bypass(RYGB),with a focus on pathophysiology,objective assessment,and underlying anatomical and motility *** suggest a stepwise algorithm to help diagnose GERD after SG and RYGB,determine the underlying cause,and guide the management and treatment.

关键词： RYGB sleeve gastrectomy bariatric surgery gastroesophageal reflux disease GERD

Well-Balanced Central Scheme for the System of MHD Equations with Gravitational Source Term

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Communications in Computational Physics 2022年第8期32卷 878-898页

作者： farah Kanbar Rony Touma Christian Klingenberg Institute for Mathematics University of WuerzburgGermany Department of Computer Science and Mathematics Lebanese American UniversityLebanon

A well-balanced second order finite volume central scheme for the magnetohydrodynamic(MHD)equations with gravitational source term is developed in this *** scheme is an unstaggered central scheme that evolves the numerical solution on a single grid and avoids solving Riemann problems at the cell interfaces using ghost staggered cells.A subtraction technique is used on the conservative variables with the support of a known steady state in order to manifest the well-balanced property of the *** divergence-free constraint of themagnetic field is satisfied after applying the constrained transport method(CTM)for unstaggered central schemes at the end of each time-step by correcting the components of the magnetic *** robustness of the proposed scheme is verified on a list of numerical test cases from the literature.

关键词： MHD equations unstaggered central schemes well-balanced schemes steady states divergence-free constraint constrained transport method

From plasma to plasmonics:toward sustainable and clean water production through membranes

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Frontiers of Chemical Science and Engineering 2023年第12期17卷 1809-1836页

作者： farah abuhatab Omar Khalifa Husam Al Araj Shadi W.Hasan Center for Membranes and Advanced Water Technology(CMAT) Khalifa University of Science and Technology127788 Abu DhabiUnited Arab Emirates Department of Chemical Engineering Khalifa University of Science and Technology127788 Abu DhabiUnited Arab Emirates Department of Chemical and Environmental Engineering Yale UniversityNew HavenCT 06520USA

The increasing demand for potable water is *** resources are scarce and stress is accumulating on other ***,new technologies and novel optimization methods are developed for the existing ***-based processes are among the most efficient methods for water ***,membranes suffer from severe operational problems,namely fouling and temperature *** effects can harm the membrane’s permeability,permeate recovery,and *** mitigate such effects,membranes can be treated through two techniques:plasma treatment(a surface modification technique),and treatment through the use of plasmonic materials(surface and bulk modification).This article showcases plasma-and plasmonic-based treatments in the context of water desalination/*** aims to offer a comprehensive review of the current developments in membrane-based water treatment technologies along with suggested directions to enhance its overall efficiency through careful selection of material and system ***,basic guidelines and strategies are outlined on the different membrane modification techniques to evaluate its ***,we discuss the challenges and future developments about these membrane modification methods.

关键词： water treatment membrane-based process plasma treatment plasma polymerization plasmonic light-to-heat conversion

Potential therapeutic effects of thymoquinone on treatment of amphetamine abuse

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Asian Pacific Journal of Tropical Biomedicine 2018年第3期8卷 187-188页

作者： Nurul farah Aina Md Fauzi Nor Hidayah abu Bakar Nasir Mohamad Khairi Che Mat Syed Hadzrullathfi Syed Omar Mohd Shahril Othman Rohayah Husain Muhamad Zaid Ismail Faculty of Medicine University of Sultan Zainal Abidin Medical Campus Centre for Research in Addiction University of Sultan Zainal Abidin Gong Badak Campus Institute for Community Development & Quality of life (iCODE) University of Sultan Zainal Abidin Gong Badak Campus Faculty of Contemporary Islamic Studies University of Sultan Zainal Abidin Gong Badak Campus Institute for Product Research and Civilization (INSPIRE) University of Sultan Zainal Abidin Gong Badak Campus

Dear Editor,The prevalence of drug abuse has diverted from traditional drugs such as opioid and cannabis to modern,synthetic and psychoactive drugs such as amphetamine groups,the amphetamine(AT)and methamphetamine[1].Amphetamine is used medically to treat several disorders such as attention deficit hyperactivity disorder,narcolepsy,depression and minor obesity[2].However,AT has also gained

关键词： Potential therapeutic effects of thymoquinone on treatment of amphetamine abuse AT

Prediction of C-glycosylated apigenin （vitexin） biosynthesis in Ficus deltoidea based on plant proteins identified by lC-MS/MS

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Frontiers in Biology 2017年第6期12卷 448-458页

作者： farah Izana Abdullah lee Suan Chua Zaidah Rahmat Metabolites Profiling laboratory Institute of Bioproduct Development Universiti Teknologi Malaysia 81310 UTM Skudai Johor BahruJohor Malaysia Department of Bioprocess and Polymer Engineering Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia 81310UTM Skudai Johor Bahru Johor Malaysia Department of Biotechnology and Medical Engineering Faculty of Biosciences & Medical Engineering Universiti Teknologi Malaysia81310 UTM Skudai Johor Bahru Johor Malaysia

Plant secondary metabolites act as defence molecules to protect plants from biotic and abiotic stresses. In particular, C-glycosylated flavonoids are more stable and reactive than their O-glycosylated counterparts. Therefore, vitexin (apigenin 8-C glucoside) present in Ficus deltoidea is well-known for its antioxidant, anti-inflammatory, and antidiabetic properties. Phenol based extraction was used to extract proteins (0.05% yield) with less plant pigments. This can be seen from clear protein bands in gel electrophoresis. In-gel trypsin digestion was subsequently carried out and analysed for the presence of peptides by lC-MS/MS. Thirteen intact proteins are identified on a 12% polyacrylamide gel. The mass spectra matching was found to have 229 proteins, and 11.4% of these were involved in secondary metabolism. Proteins closely related to vitexin biosynthesis are listed and their functions are explained mechanistically. Vitexin synthesis is predicted to involve plant polyketide chalcone synthase, isomerization by chalcone isomerase, oxidation by cytochrome P450 to convert flavanone to flavone, and transfer of sugar moiety by C-glycosyltransferase, followed by dehydration to produce flavone-8-C-glucosides. Phenol based extraction, followed by gel electrophoresis and lC-MS/MS could identify proteome explaining vitexin biosynthesis in F. deltoidea. Many transferases including β-1,3-galactosyltransferase 2 and glycosyl hydrolase family 10 protein were detected in this study. This explains the importance of transferase family proteins in Cglycosylated apigenin biosynthesis in medicinal plant.

关键词： C-glycosylation vitexin apigenin 8-C glucoside proteins peptides lC-MS/MS

A review of metal nanoparticle-based surface-enhanced Raman scattering substrates for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)detection Special Collection:Distinguished Australian Researchers

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Aggregate 2023年第5期4卷 1-11页

作者： Norhayati abu Bakar Nur Nazhifah Yusoff farah Shahadah Nor Azmi Joseph George Shapter Australian Institute for Bioengineering and Nanotechnology University of QueenslandSt LuciaAustralia Institute of Microengineering and Nanoelectronics Universiti Kebangsaan MalaysiaBangiMalaysia

Monitoring an infectious disease early using highly sensitive and non-invasive techniques is critical for human ***,the development of surfaceenhanced Raman scattering(SERS)for biological detection ideally fits these medical requirements and is rapidly growing as a powerful diagnostic *** can enhance the Raman signal of the target molecule by more than 106 after the adsorption of the molecule on the plasmonic nanostructured *** review provides an overview of the use of gold and silver nanoparticles in SERS substrate designs,followed by the development of these SERS substrates in severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)detection.

关键词： gold nanostars SARS-CoV-2 SERS silver nanostars