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Novel SARS-CoV-2 outbreak and COVID19 disease;a systemic review on the global pandemic

Genes & Diseases 2020年第4期7卷 491-501页

作者： abdulmohsen h.al-rohaimi Faisal al Otaibi College of Pharmacy University of ShaqraAl DawadmiSaudi Arabia Clinical Pharmacology William Harvey Research InstituteQueen Mary University of LondonCharterhouse SquareLondonEC1M6BQUK

Since the beginning of the 21st century,several viral outbreaks have threatened humankind and posed a new challenge to the modern h.althcare *** recent outbreak in Wuhan(December 2019),China,represents a beta coronavirus classified as novel Severe Acute Respiratory Syndrome Corona Virus-2(SARS-CoV-2)which belongs to the Coronaviridae *** SARS-CoV-2 represents a significant similarity with previous coronaviruses such as SARS-CoV in 2002,China and MERS-CoV in 2015,Middle ***,preliminary research investigations have shown the novel SARS-CoV-2 evolved with several mutations and developed the capacity to cross the species,i.e.,animal to *** initial findings have shown that spike proteins are vital molecules target hACE2 receptor for its attachment and entry into *** successful entry virus primarily focuses on respiratory airway cell lines and triggers a massive immune response leading to mucus *** severe conditions,the virus is capable of forcing viral pneumonia leading to the collapse of the respiratory system,i.e.,*** far,there is a lack of immunity against the virus in *** the same in the absence of therapeutic interventions,many countries experienced high mortality,such as the United States,European countries,i.e.,Italy,Spain,France,and the United *** vaccine development is underway and experiencing challenges,as many reports demonstrated genetic variations in viral genome and proteins as *** present study provides a complete comprehensive overview of the novel SARS-CoV-2 outbreak,human transmission,and global spread.

关键词： Centre for disease prevention and control COVID19 Diagnosis Pandemic SARS-CoV-2 Therapeutics Vaccines World h.alth Organization

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Comparative chemical sensor for detection of chromium(Ⅵ) in aqueous solution

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Optoelectronics Letters 2025年第1期21卷 21-27页

作者： Sura h.al-REKABI A.A.alWAhIB Electrical Technique Department Al Suwayrah Technical Institute Middle Technical University Laser and Optoelectronics Department University of Technology-Iraq

A process for purifying aqueous solutions containing heavy and toxic metals such as chromium（Cr） has been investigated. One of the extremely harmful pollutants in rivers and seawater is the heavy metal ions due to their direct impacts on human, animals and plants are hexavalent Cr（Ⅵ）. Consequently, highly sensitive sensor to detect Cr is essential. Surface plasmon resonance（SPR） technique has attracted huge research interest in detecting heavy metals specifically. In this study, three types of prism-based SPR sensor, gold（Au）/silver（Ag）, Au/polyaniline（PANI） and Au/titanium dioxide（TiO2） nanostructured films, are investigated as potential sensing material to detect the presence of Cr（Ⅵ） ions in water. The base Au layer with thickness of 48.3 nm is deposited on a glass slide for all sensors. For Au/Ag, Au/PANI nanofibers and Au/TiO2sensor films, the Cr（Ⅵ） concentration is varied from 1 ppm to 15 ppm with sensitivity of 0.270 °ppm-1, 0.082 °ppm-1and 0.039 °ppm-1, respectively. Based on these results, the Au/PANI nanofibers are the most sensitive to Cr（Ⅵ） among the tested sensing materials.

关键词： Titanium dioxide

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A Latency-Aware and Fault-Tolerant Framework for Resource Scheduling and Data Management in Fog-Enabled Smart City Transportation Systems

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Computers, Materials & Continua 2025年第1期82卷 1377-1399页

作者： Ibrar Afzal Noor ul Amin Zulfiqar Ahmad abdulmohsen algarni Department of Computer Science and Information Technology Hazara UniversityMansehra21300Pakistan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Thedeployment of the Internet of Things(IoT)with smart sensors has facilitated the emergence of fog computing as an important technology for delivering services to smart environments such as campuses,smart cities,and smart transportation *** computing tackles a range of challenges,including processing,storage,bandwidth,latency,and reliability,by locally distributing secure information through end *** of endpoints,fog nodes,and back-end cloud infrastructure,it provides advanced capabilities beyond traditional cloud *** smart environments,particularly within smart city transportation systems,the abundance of devices and nodes poses significant challenges related to power consumption and system *** address the challenges of latency,energy consumption,and fault tolerance in these environments,this paper proposes a latency-aware,faulttolerant framework for resource scheduling and data management,referred to as the FORD framework,for smart cities in fog *** framework is designed to meet the demands of time-sensitive applications,such as those in smart transportation *** FORD framework incorporates latency-aware resource scheduling to optimize task execution in smart city environments,leveraging resources from both fog and cloud *** simulation-based executions,tasks are allocated to the nearest available nodes with minimum *** the event of execution failure,a fault-tolerantmechanism is employed to ensure the successful completion of *** successful execution,data is efficiently stored in the cloud data center,ensuring data integrity and reliability within the smart city ecosystem.

关键词： Fog computing smart cities smart transportation data management fault tolerance resource scheduling

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Status and prospects for symmetric organic redox flow batteries

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Journal of Energy Chemistry 2025年第1期100卷 125-143页

作者： Md al Raihan C.Adam Dyker Department of Chemistry University of New Brunswick

As environmental concerns from fossil fuel consumption intensify, large-scale energy storage becomes imperative for the integration of renewable sources like wind, hydro, and solar with the electrical *** flow batteries, particularly those employing organic molecules, are positioned as a key technology for this purpose. This review explores the growing field of symmetric organic redox flow batteries(ORFBs) within this context. Unlike traditional asymmetric designs based on unique active materials for each electrode, symmetric ORFBs involve a single bipolar species for both electrodes. This review highlights the benefits of a symmetric design, and categorizes five distinct classes of organic bipolar molecules used in both aqueous and non-aqueous solvents. By providing a comprehensive overview of their cell cycling and performance characteristics, the strengths and weaknesses of the diverse categories of bipolar molecules are highlighted for both solvent systems, as are opportunities for future development. This should guide new research directions and advance the development of practical symmetric ORFBs.

关键词： Redox flow battery Symmetric battery Organic battery Aqueous electrolyte Non-aqueous electrolyte

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Reconstruction of a heat Equation from One Point Observations

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Communications on Applied Mathematics and Computation 2022年第4期4卷 1280-1292页

作者： h.al Attas A.Boumenir Department of Mathematics King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Mathematics University of West GeorgiaCarrollton GA 30118USA

We are concerned with the reconstruction of the heat sink coefficient in a one-dimensional heat equation from the observations of solutions at the same *** direct method which is based on spectral estimation and asymptotics techniques provides a fast algorithm and also an alternative to the Gelfand-Levitan theory or minimization procedures.

关键词： Inverse problem Parameter identification heat equation

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Shoulder girdle recognition using electrophysiological and low frequency anatomical contraction signals for prosthesis control

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CAAI Transactions on Intelligence Technology 2022年第1期7卷 81-94页

作者： Ejay Nsugbe ali h.al-Timemy Nsugbe Research Labs SwindonUK Biomedical Engineering Department Al-Khwarizmi College of EngineeringUniversity of BaghdadBaghdadIraq

Shoulder disarticulation amputees account for a small portion of upper-limb amputees,thus little emphasis has been devoted to developing functional prosthesis for this cohort of *** this study,shoulder girdle recognition was investigated with acquired data from electrophysiological(electromyography[EMG])and low frequency contraction(accelerometer[Acc])signals from both amputee and non-amputee *** contribution of this study is based around the contrast of the classification accuracy(CA)for different sensor configurations using a unique set of signal *** was seen that the fusion of the EMG-Acc produced an enhancement in the CA in the range of 10%-20%,depending on which windowing parameters were *** this,it was seen that the best combination of a windowing scheme and classifier would likely be for the 350 ms and spectral regression discriminant analysis,with a fusion of the EMG-Acc *** results have thus provided evidence that the two sensors can be combined and used in practice for prosthesis *** a holistic view on the study,the authors conclude by providing a framework on how the shoulder motion recognition could be combined with neuromuscular reprogramming to contribute towards easing the cognitive burden of amputees during the prosthesis control process.

关键词： cybernetics electromyography neuromuscular reprogramming pattern recognition prosthesis control upperlimb amputees

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A New Optimized Wrapper Gene Selection Method for Breast Cancer Prediction

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Computers, Materials & Continua 2021年第6期67卷 3089-3106页

作者： heyam h.al-Baity Nourah.al-Mutlaq Department of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

Machine-learning algorithms have been widely used in breast cancer diagnosis to help pathologists and physicians in the decision-making ***,the high dimensionality of genetic data makes the classification process a challenging *** this paper,we propose a new optimized wrapper gene selection method that is based on a nature-inspired algorithm(simulated annealing(SA)),which will help select the most informative genes for breast cancer *** optimal genes will then be used to train the classifier to improve its accuracy and *** supervised machine-learning algorithms,namely,the support vector machine,the decision tree,and the random forest were used to create the classifier models that will help to predict breast *** different experiments were conducted using three datasets:Gene expression(GE),deoxyribonucleic acid(DNA)methylation,and a combination of the *** measures were used to evaluate the performance of the proposed algorithm,which include the following:Accuracy,precision,recall,specificity,area under the curve(AUC),and execution *** effectiveness of the proposed classifiers was evaluated through comprehensive *** results demonstrated that our approach outperformed the conventional classifiers as expected in terms of accuracy and execution *** accuracy values of 99.77%,99.45%,and 99.45%have been achieved by SA-SVM for GE,DNA methylation,and the combined datasets,*** execution time of the proposed approach was significantly reduced,in comparison to that of the traditional classifiers and the best execution time has been reached by SA-SVM,which was 0.02,0.03,and 0.02 on GE,DNA methylation,and the combined datasets *** regard to precision and specificity,SA-RF obtained the best result of 100 on GE *** SA-SVM attained the best recall result of 100 on GE dataset.

关键词： Breast cancer simulated annealing feature selection classification gene expression DNA methylation DNA microarray

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Reassessment of fenestration characteristics for residential buildings in hot climates: energy and economic analysis

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Frontiers in Energy 2022年第4期16卷 629-650页

作者： ali alAJMI hosny ABOU-ZIYAN hamad h.al-MUTAIRI Mechanical Engineering Department College of Technological StudiesPAAETKuwait Mechanical Power Engineering Department Faculty of EngineeringHelwan UniversityCairoEgypt

This paper attempts to resolve the reported contradiction in the literature about the characteristics of high-performance/cost-effective fenestration of residential buildings,particularly in hot *** considered issues are the window glazing property(ten commercial glazing types),facade orientation(four main orientations),window-to-wall ratio(WWR)(0.2–0.8),and solar shading overhangs and side-fins(nine shading conditions).The results of the simulated runs reveal that the glazing quality has a superior effect over the other fenestration parameters and controls their effect on the energy consumption of residential ***,using low-performance windows on buildings yields larger effects of WWR,facade orientation,and solar shading than high-performance *** the WWR increases from 0.2 to 0.8,the building energy consumption using the low-performance window increases 6.46 times than that using the highperformance *** best facade orientation is changed from north to south according to the glazing *** addition,the solar shading need is correlated as a function of a window-glazing property and *** cost analysis shows that the high-performance windows without solar shading are cost-effective as they have the largest net present cost compared to lowperformance windows with or without solar ***,replacing low-performance windows with high-performance ones,in an existing residential building,saves about 12.7 MWh of electricity and 11.05 tons of CO_(2) annually.

关键词： parametric analysis high-performance window window-to-wall ratio(WWR) facade orientation solar shading cost analysis

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A study of the performance of the LSWA CO2 EOR technique on improvement of oil recovery in sandstones

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Petroleum 2019年第1期5卷 58-66页

作者： h.al-Abri P.Pourafshary N.Mosavat h.al hadhrami Petroleum Development Oman Oman Department of Petroleum Engineering School of Mining and GeosciencesNazarbayev UniversityKazakhstan Department of Engineering and Technology Muscat UniversityOman Department of Petroleum and Chemical Engineering Sultan Qaboos UniversityOman

Low salinity water is an emerging enhanced oil recovery(EOR)method that causes wettability alteration towards a favorable state to reduce residual oil saturation,while water alternating gas(WAG)is a proven EOR process that enhances oil recovery by controlling mobility of both water and ***,combining the two EOR processes as low salinity water-alternating CO2 EOR injection(LSWA CO2)can further improve oil recovery by promoting the synergy of the mechanisms underlying these two *** flooding experiments,contact angle,interfacial tension(IFT),and CO2 solubility measurement in oil and brine were conducted to investigate the viability and performance of LSWA CO2 in sandstone reservoirs.A favorable wettability alteration,along with IFT reduction and mobility control,are the mechanisms that contribute to residual oil mobilization efficiencies during the LSWA CO2 EOR *** addition,LSWA CO2 core flooding experiments result in a significant incremental oil *** smart waters were tested in our research,to examine the impact of changing cationic composition on oil *** solutions are designed brines as NaCl(SW1),MgCl2(SW2),and KCl(SW3).Of the three solutions,SW1 yields the highest incremental oil recovery and highest IFT *** addition,it results in a favorable wettability alteration towards a more water-wet *** all cases,introducing CO2 to the brine/oil system shows a great advantage in terms of enhancing wettability modification,promoting IFT reduction,and controlling the displacement front of the injected fluid through mobility control.

关键词： EOR sandstone performance

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Impact of Portable Executable header Features on Malware Detection Accuracy

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Computers, Materials & Continua 2023年第1期74卷 153-178页

作者： hasan h.al-Khshali Muhammad Ilyas Electrical and Computer Engineering Altinbas UniversityIstanbulTurkey Electrical and Electronics Engineering Altinbas UniversityIstanbulTurkey

One aspect of cybersecurity,incorporates the study of Portable Executables(PE)files *** Intelligence(AI)can be employed in such studies,since AI has the ability to discriminate benign from malicious *** this study,an exclusive set of 29 features was collected from trusted implementations,this set was used as a baseline to analyze the presented work in this research.A Decision Tree(DT)and Neural Network Multi-Layer Perceptron(NN-MLPC)algorithms were utilized during this *** algorithms were chosen after testing a few diverse *** work implements a method of subgrouping features to answer questions such as,which feature has a positive impact on accuracy when added?Is it possible to determine a reliable feature set to distinguish a malicious PE file from a benign one?when combining features,would it have any effect on malware detection accuracy in a PE file?Results obtained using the proposed method were improved and carried few ***,the obtained results had practical and numerical parts,for the practical part,the number of features and which features included are the main factors impacting the calculated accuracy,also,the combination of features is as crucial in these *** results included,finding accuracies with enhanced values,for example,NN_MLPC attained 0.979 and 0.98;for DT an accuracy of 0.9825 and 0.986 was attained.

关键词： AI driven cybersecurity artificial intelligence cybersecurity Decision Tree Neural Network Multi-Layer Perceptron Classifier portable executable(PE)file header features

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