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Computers, Materials & Continua 2024年第1期78卷 515-532页

作者： Mohammad ZMasoud Yousef Jaradat Ahmad Manasrah Mohammad alia Khaled Suwais Sally Almanasra Electrical Engineering Department Al-Zaytoonah University of JordanAmman11733Jordan Mechanical Engineering Department Al-Zaytoonah University of JordanAmman11733Jordan Computer Science Department Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Computer Studies Arab Open UniversityRiyadh11681Saudi Arabia

This work carried out a measurement study of the Ethereum Peer-to-Peer(P2P)network to gain a better understanding of the underlying *** was applied because it pioneered distributed applications,smart contracts,and ***,its application layer language“Solidity”is widely used in smart contracts across different public and private *** this end,we wrote a new Ethereum client based on Geth to collect Ethereum node ***,various web scrapers have been written to collect nodes’historical data fromthe Internet Archive and the Wayback Machine *** collected data has been compared with two other services that harvest the number of *** has collectedmore than 30% more than the other *** data trained a neural network model regarding time series to predict the number of online nodes in the *** findings show that there are less than 20% of the same nodes daily,indicating thatmost nodes in the network change *** poses a question of the stability of the ***,historical data shows that the top ten countries with Ethereum clients have not changed since *** popular operating system of the underlying nodes has shifted from Windows to Linux over time,increasing node *** results have also shown that the number of Middle East and North Africa(MENA)Ethereum nodes is neglected compared with nodes recorded from other *** opens the door for developing new mechanisms to encourage users from these regions to contribute to this ***,the model has been trained and demonstrated an accuracy of 92% in predicting the future number of nodes in the Ethereum network.

关键词： Ethereum measurement ethereum client neural network time series forecasting web-scarping wayback machine blockchain

Mechanism of Thermally Radiative Prandtl Nanofluids and Double-Diffusive Convection in Tapered Channel on Peristaltic Flow with Viscous Dissipation and Induced Magnetic Field

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1501-1520页

作者： Yasir Khan Safia Akram Maria Athar Khalid Saeed alia Razia A.Alameer Department of Mathematics University of Hafr Al-BatinHafr Al-Batin31991Saudi Arabia MCS National University of Sciences and TechnologyIslamabadPakistan SEECS National University of Sciences and TechnologyIslamabadPakistan College of Aeronautical Engineering National University of Sciences and TechnologyIslamabadPakistan

The application of mathematical modeling to biological fluids is of utmost importance, as it has diverse applicationsin medicine. The peristaltic mechanism plays a crucial role in understanding numerous biological flows. In thispaper, we present a theoretical investigation of the double diffusion convection in the peristaltic transport of aPrandtl nanofluid through an asymmetric tapered channel under the combined action of thermal radiation andan induced magnetic field. The equations for the current flow scenario are developed, incorporating relevantassumptions, and considering the effect of viscous dissipation. The impact of thermal radiation and doublediffusion on public health is of particular interest. For instance, infrared radiation techniques have been used totreat various skin-related diseases and can also be employed as a measure of thermotherapy for some bones toenhance blood circulation, with radiation increasing blood flow by approximately 80%. To solve the governingequations, we employ a numerical method with the aid of symbolic software such as Mathematica and *** velocity, magnetic force function, pressure rise, temperature, solute (species) concentration, and nanoparticlevolume fraction profiles are analytically derived and graphically displayed. The results outcomes are compared withthe findings of limiting situations for verification.

关键词： Double diffusion convection thermal radiation induced magnetic field peristaltic flow tapered asymmetric channel viscous dissipation Prandtl nanofluid

Magnetic resonance spectroscopy findings of brain olfactory areas in patients with COVID-19-related anosmia:A preliminary comparative study

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2024年第2期10卷 105-112页

作者： Shadman Nemati Mohammad Haghani Dogahe alia Saberi Naghi Ramezani Pejman Kiani Tofigh Yaghubi Kalurazi Ehsan Kazemnejad Leili Sara Seddighi abbas Monsef Department of Otolaryngology and Head and Neck Surgery School of MedicineOtorhinolaryngology Research CenterGuilan University of Medical SciencesRashtIran Guilan Road Trauma Research Center Guilan University of Medical SciencesRashtGuilanIran Department of Neurology Neuroscience Research CenterPoursina HospitalGuilan University of Medical SciencesRashtIran Department of Radiology Pars International HospitalGuilan ProvinceIran Department of Neuroscience and Addiction Studies School of Advanced Technologies in MedicineTehranIran Department of Infectious Diseases Razi Clinical Research Development UnitRazi HospitalGuilan University of Medical SciencesRashtIran Center of Magnetic Resonance Research Department of Radiation OncologyUniversity of Minnesota Medical SchoolMinneapolisMinnesotaUSA

Objectives:2019 novel coronavirus disease(COVID-19)infection is commonly associated with olfactory dysfunctions,but the basic pathogenesis of these complications remains *** study seeks to evaluate the value of magnetic resonance spectroscopy(MRS)in determining the molecular neurometabolite alterations within the main brain olfactory areas in patients with COVID-19-related ***:In a cross-sectional study,seven patients with persistent COVID-19-related anosmia(mean age:29.57 years)and seven healthy volunteers(mean age:27.28 years)underwent MRS in which N-acetyl-aspartate(NAA),choline(Cho),creatine(Cr),and their ratios were measured in the anterior cingulate cortex,dorsolateral prefrontal cortex,orbitofrontal cortex(OFC),insular cortex,and ventromedial prefrontal *** were analyzed using TARQUIN software(version 4.3.10),and the results were compared with an independent sample t-test and nonparametric Mann-Whitney test based on the normality of the MRS data ***:The mean duration of anosmia before imaging was 8.5 months in COVID-19-related anosmia *** analysis elucidated a significant association between MRS findings within OFC and COVID-19-related anosmia(P_(disease)<0.01),and NAA was among the most important neurometabolites(P_(interaction)=0.006).Reduced levels of NAA(P<0.001),Cr(P<0.001)and^(NAA)/Cho ratio(P=0.007)within OFC characterize COVID-19-related ***:This study emphasizes that MRS can be illuminating in COVID-19-related anosmia and indicates a possible association between central nervous system impairment and persistent COVID-19-related anosmia.

关键词： anosmia COVID-19 magnetic resonance spectroscopy neuroimaging olfaction

Assessment of Heavy Metals Contamination of Topsoil and Street Dust around Cement Factory in Southern Jordan

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Journal of Environmental Protection 2024年第6期15卷 672-696页

作者： Omar Ali Al-Khashman alia Omar Al-Khashman Navasingh Rajesh Jesudoss Hynes Hani M. Alnawafleh Pitchumani Shenbaga Velu Department of Environmental Engineering Al-Hussein Bin Talal University Maan Jordan MD/Ministry of Health Amman Jordan Department of Mechanical Engineering Mepco Schlenk Engineering College Si-vakasi India Department of Mining and Mineral Engineering Al-Hussein Bin Talal University Maan Jordan Department of Mechanical Engineering PSR Engineering College Sivakasi India

Evaluation of assessment of the metal processes governing the metals distribution in soil and dust samples is very significant and protects the health of human and ecological system. Recently, special attention has given to the assessment of metals pollution impact on soil and dust within industrial areas. This study aims to assess the metal contamination levels in the topsoil and street dust around the cement factory in Qadissiya area, southern Jordan. The levels of seven metals (namely Fe, Zn, Cu, Pb, Cr, Cd, and Mn) were analyzed using Flame Atomic Absorption Spec-trophotometer (FAAS) to monitor, evaluate, and to compare topsoil and road dust pollution values of metals of the different types of urban area. The physicochemical parameters which believed to affect the mobility of metals in the soil of the study area were determined such as pH, EC, TOM, CaCO3 and CEC. The levels of metal in soil samples are greater on the surface but decrease in the lower part as a result of the basic nature of soil. The mean values of the metals in soil can be arranged in the following order: Zn > Pb > Mn > Fe > Cu > Cr > Cd. The relatively high concentration of metals in the soil sample was attributed to anthropogenic activities such as traffic emissions, cement factory and agricultural activities. Correlation coefficient analysis and the spatial distribution of indices and the results of statistical analysis indicate three groups of metals: Fe and Mn result by natural origin, Zn, Pb, Cu and Zn result by anthropogenic origin (mainly motor vehicle traffic and abrasion of tires) while Cd is mixed origin. The higher content level values of metals of anthropogenic source in soil samples indicate that it is a source of contamination of air in the studied area. .

关键词： Cement Dust Heavy Metals Contamination Risk Assessment Statistical Analysis Jordan

Hybrid Effects of Thermal and Concentration Convection on Peristaltic Flow of Fourth Grade Nanofluids in an Inclined Tapered Channel: Applications of Double-Diffusivity

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Computer Modeling in Engineering & Sciences 2021年第6期127卷 901-922页

作者： Safia Akram alia Razia MCS National University of Sciences and TechnologyIslamabadPakistan

This article brings into focus the hybrid effects of thermal and concentration convection on peristaltic pumping of fourth grade nanofluids in an inclined tapered ***,the brief mathematical modelling of the fourth grade nanofluids is provided along with thermal and concentration *** Lubrication method is used to simplify the partial differential equations which are tremendously ***,analytical technique is applied to solve the differential equations that are strongly nonlinear in nature,and exact solutions of temperature,volume fraction of nanoparticles,and concentration are *** and graphical findings manifest the influence of various physical flow-quantity *** is observed that the nanoparticle fraction decreases because of the increasing values of Brownian motion parameter and Dufour parameter,whereas the behaviour of nanoparticle fraction is quite opposite for thermophoresis *** is also noted that the temperature profile decreases with increasing Brownian motion parameter values and rises with Dufour parameter ***,the concentration profile ascends with increasing thermophoresis parameter and Soret parameter values.

关键词： Nanofluids thermal and concentration convection peristaltic flow inclined tapered channel fourth grade fluid

Could non-invasive brain-stimulation prevent neuronal degeneration upon ion channel re-distribution and ion accumulation after demyelination?

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Neural Regeneration Research 2020年第11期15卷 1977-1980页

作者： Friederike Pfeiffer alia Benali Werner Reichardt Centre for Integrative Neuroscience(CIN) University of TubingenTubingenGermany Section for Computational Sensomotorics Department of Cognitive NeurologyHertie-Institute for Clinical Brain Research and Centre for Integrative NeuroscienceUniversity of TubingenTubingenGermany

Fast and efficient transmission of electrical signals in the nervous system is mediated through myelinated nerve *** neuronal diseases such as multiple sclerosis,the conduction properties of axons are disturbed by the removal of the myelin sheath,leaving nerve cells at a higher risk of *** some cases,the protective myelin sheath of axons can be rebuilt by remyelination through oligodendroglial *** any case,however,changes in the ion channel organization occur and may help to restore impulse conduction after *** the other hand,changes in ion channel distribution may increase the energy demand of axons,thereby increasing the probability of axonal *** attempts have been made or discussed in recent years to increase remyelination of affected axons in demyelinating diseases such as multiple *** approaches range from pharmacological treatments that reduce inflammatory processes or block ion channels to the modulation of neuronal activity through electrical cortical ***,these treatments either affect the entire organism(pharmacological)or exert a very local effect(electrodes).Current results show that neuronal activity is a strong regulator of oligodendroglial *** bridge the gap between global and very local treatments,non-invasive transcranial magnetic stimulation could be *** magnetic stimulation is externally applied to brain areas and experiments with repetitive transcranial magnetic stimulation show that the neuronal activity can be modulated depending on the stimulation parameters in both humans and *** this review,we discuss the possibilities of influencing ion channel distribution and increasing neuronal activity by transcranial magnetic stimulation as well as the effect of this modulation on oligodendroglial cells and their capacity to remyelinate previously demyelinated *** the physiological mechanisms underlying the effects of transcrani

关键词： ion channel multiple sclerosis neuronal activity oligodendrocyte (re-)myelination repetitive transcranial magnetic stimulation transcranial magnetic stimulation

A novel facial emotion recognition scheme based on graph mining

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Defence Technology（防务技术） 2020年第5期16卷 1062-1072页

作者： alia K.Hassan Suhaila N.Mohammed Department of Computer Science University of TechnologyBaghdadIraq Department of Computer Science College of ScienceUniversity of BaghdadBaghdadIraq

Recent years have seen an explosion in graph data from a variety of scientific,social and technological *** these fields,emotion recognition is an interesting research area because it finds many applications in real life such as in effective social robotics to increase the interactivity of the robot with human,driver safety during driving,pain monitoring during surgery etc.A novel facial emotion recognition based on graph mining has been proposed in this paper to make a paradigm shift in the way of representing the face region,where the face region is represented as a graph of nodes and edges and the gSpan frequent sub-graphs mining algorithm is used to find the frequent sub-structures in the graph database of each *** reduce the number of generated sub-graphs,overlap ratio metric is utilized for this *** encoding the final selected sub-graphs,binary classification is then applied to classify the emotion of the queried input facial image using six levels of *** cat swarm intelligence is applied within each level of classification to select proper sub-graphs that give the highest accuracy in that *** experiments have been conducted using Surrey Audio-Visual Expressed Emotion(SAVEE)database and the final system accuracy was 90.00%.The results show significant accuracy improvements(about 2%)by the proposed system in comparison to current published works in SAVEE database.

关键词： Emotion recognition Facial landmarks Graph mining gSpan algorithm Binary cat swarm optimization(BCSO) Neural network

Breast Cancer Diagnosis Using Artificial Intelligence Approaches: A Systematic Literature Review

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Intelligent Automation & Soft Computing 2023年第7期37卷 939-970页

作者： alia Alshehri Duaa AlSaeed College of Computer and Information Sciences King Saud UniversityRiyadh11451Saudi Arabia

One of the most prevalent cancers in women is breast *** and accurate detection can decrease the mortality rate associated with breast *** and health organizations emphasize the significance of early breast cancer screening since it is associated to a greater variety of available treatments and a higher chance of *** have the best chance of obtaining effective treatment when they are diagnosed *** detection and diagnosis of breast cancer have involved using various image types and imaging ***“infrared thermal”imaging is one of the imaging modalities.,a screening instrument used to measure the temperature distribution of breast tissue,and even though it has not been used as extensively as mammography it demonstrated encouraging outcomes when utilized for early *** also has several advantages,as it is safe,painless,non-invasive,and *** literature showed that the use of thermal images with deep neural networks improved the accuracy of early diagnosis of breast ***,in this paper,we aim to provide a systematic review of research efforts and state-of-the-art studies in the domain of breast cancer detection using AI *** review highlighted different issues,such as using different imaging modalities and deep attention mechanisms with deep learning(DL),which proved to enhance detection accuracy.

关键词： Breast cancer thermography deep learning attention mechanisms machine learning detection diagnosis artificial intelligence

Evaluation of suprachiasmatic nucleus in Alzheimer’s disease with non-invasive magnetic resonance methods

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Neural Regeneration Research 2022年第8期17卷 1753-1754页

作者： Rico Singer A.alia Leiden Institute of Chemistry Leiden UniversityLeidenThe Netherlands Institute of Medical Physics and Biophysics University of LeipzigLeipzigGermany

The suprachiasmatic nucleus and Alzheimer’s disease(AD):AD is the most frequently diagnosed form of dementia,with the total number of AD patients worldwide expected to triple by 2050 compared to 2015(Prince et al.,2015).Despite years of research,much of the AD pathology remains unclear with no treatment or cure *** its two hallmarks,amyloid-β(Aβ)plagues and hyperphosphorylated tau tangles,a distortion of circadian rhythms is commonly ***,poor sleep quality or trouble falling asleep are common AD symptoms,sometimes developing 10-15 years before cognitive symptoms associated with AD(Ju et al.,2014).

关键词： al. Alzheimer supra