检索结果-南通市图书馆

Particuology 2024年第1期84卷 249-260页

作者： Hassan m.Hmood Saba A.Gheni Safaa m.R.Ahmed mudheher m.ali Hamid Yonis Saleh mohammed H.mohammed Awad E.mohammed marwan A.mahomood Hiba R.mohammed Ahmed A.Hassan Adam Harvey North Refineries Company Ministry of OilIraq Chemical Engineering Department Tikrit UniversityIraq ministry of Oil Iraq AL-Hawija Technical Institute Northern Technical UniversityMoselIraq School of Engineering Newcastle UniversityUK

To meet the rapidly increasing demand for energy and the dramatic depletion of conventional crude oil,it is imperative to utilize sour *** no coke being produced,oxidative desulfurization(ODS)of naphtha lowers its sulfur content and average molecular *** this article,we outline a method for heavy naphtha non-extractive ODS using a very stable *** technique involves the use of a solid catalyst with oxygen gas as the *** necessitated relatively high mixing intensities;hence a three-phase Oscillatory Baffled Reactor(OBR)was *** catalyst was based on the zeolite ZSm-5,prepared from natural kaolin by a series of delamination and activation steps and impregnated with Fe.A TiO2 nanolayer was applied,using the sol-gel method,to prevent rapid *** reactor performance was evaluated to minimize the sulfur content in the naphtha *** to the protective coating,the sulfur conversion stabilized at 90%.The results of this work establish the use of natural clay-based catalysts in a continuous,three-phase ODS,particularly with regard to proving long-term *** also showed that modest ODS can be achieved using an environmentally friendly oxidant,at mild operating conditions,whilst maintaining stability.

关键词： Natural kaoline Desulfurization Three-phase Oscillatory baffled reactor

Removal of organic pollutants by lanthanide-doped mIL-53(Fe) metal-organic frameworks:Effect of dopant type in magnetite precursor

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Rare Earths 2023年第1期41卷 140-148页

作者： Shimaa m.ali Khadija m.Emran Fedaa m.m.Alrashedee Department of Chemistry Faculty of ScienceCairo University.Giza12613Egypt Department of Chemistry Faculty of ScienceTaibah UniversityMadinah30002Saudi Arabia

A series of undoped and lanthanide doped mIL-53(Fe)/Ln-Fe_(3)O_(4)(Ln=La,Nd,or Gd) metal-organic frameworks(mOFs) were prepared by the solvothermal *** prepared samples were characterized by X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FT-IR),Brunauer-Emmett-Teller(BET) measurements,scanning electron microscopy(SEm),and thermal *** and FT-IR results ascertain the successful mOF formation for all prepared ***-53(Fe)/La-Fe_(3)O_(4) has the smallest particle size of 8.6 nm,the largest BET surface area of 54.2 m^(2)/g,and the highest *** and different lanthanide doped mIL-53(Fe) we re employed as sorbents for the removal of methylene blue(mB)dye from aqueous solutions to examine the doping benefit and the effect of the dopant size on the sorption *** causes mOFs to act as pH-independent sorbents,which make it applicable at any *** follows pseudo-second-order kinetic model,and doped sorbents attain equilibrium *** isotherms are followed,except for mIL-53(Fe)/La-Fe_(3)O_(4).The adsorption capacity increases with increasing the dopant ion size,100.5 mg/g for La-doped mOF,which is about four times higher than that of undoped *** adsorption mechanism involves chemical interactions between Lewis acid in magnetite mIL-53(Fe) series and Lewis base in mB.

关键词： Lanthanide metal organic framework Adsorption Doping Organic dyes Rare earths

A novel multi-stable sinusoidal chaotic map with spectacular behaviors

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

Communications in Theoretical Physics 2023年第11期75卷 3-14页

作者： Ahmed m ali ali Sridevi Sriram Hayder Natiq Atefeh Ahmadi Karthikeyan Rajagopal Sajad Jafari Department of Electronics Techniques Babylon Technical InstituteAl-Furat Al-Awsat Technical UniversityBabylon51001Iraq Al-mustaqbal University College Babylon51001Iraq Centre for Computational Biology Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Computer Technology Engineering College of Information TechnologyImam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Biomedical Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran Centre for Nonlinear Systems Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Electronics and Communications Engineering and University Centre of Research and Development Chandigarh UniversityMohali140413PunjabIndia Health Technology Research Institute Amirkabir University of Technology(Tehran Polytechnic)TehranIran

Chaotic behavior can be observed in continuous and discrete-time *** behavior can appear in one-dimensional nonlinear maps;however,having at least three state variables in flows is *** to the lower mathematical complexity and computational cost of maps,lots of research has been conducted based on *** paper aims to present a novel one-dimensional trigonometric chaotic map that is multi-stable and can act *** proposed chaotic map is first analyzed using a single sinusoidal function;then,its abilities are expanded to a map with a combination of two sinusoidal *** stability conditions of both maps are investigated,and their different behaviors are validated through time series,state space,and cobweb ***,the influence of parameter variations on the maps’outputs is examined by one-dimensional and two-dimensional bifurcation diagrams and Lyapunov exponent ***,the diversity of outputs with varying initial conditions reveals this map’s *** newly designed chaotic map can be employed in encryption applications.

关键词： chaotic map discrete chaos sinusoidal map multi-stability dynamical analysis

multi-Attribute Group Decision-making method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application

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

Computer modeling in Engineering & Sciences 2023年第11期137卷 1891-1936页

作者： mohammed m.ali Al-Shamiri Ghous ali muhammad Zain Ul Abidin Arooj Adeel Department of mathematics Faculty of Science and ArtsMahayl AssirKing Khalid UniversityAbhaSaudi Arabia Department of mathematics and Computer Faculty of ScienceIbb UniversityIbbYemen Department of mathematics Division of Science and TechnologyUniversity of EducationLahorePakistan

Spherical fuzzy soft expert set(SFSES)theory blends the perks of spherical fuzzy sets and group decision-making into a unified *** allows solutions to highly complicated uncertainties and ambiguities under the unbiased supervision and group decision-making of multiple ***,SFSES theory has some deficiencies such as the inability to interpret and portray the bipolarity of *** work highlights and overcomes these limitations by introducing the novel spherical fuzzy bipolar soft expert sets(SFBSESs)as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets(BSESs).Followed by the development of certain set-theoretic operations and properties of the proposed model,important problems,including the selection of non-powered dam(NPD)sites for hydropower conversion are discussed and solved under the proposed *** problems mainly focus on the need for an efficient tool capable of considering the bipolarity of parameters,complicated ambiguities,and multiple *** the new approach by a detailed comparative analysis,it is concluded that the proposed model is more comprehensive and reliable for multi-attribute group decisionmaking(mAGDm)than the previous tools,particularly considering the bipolarity of parameters under SFSES environment.

关键词： Spherical fuzzy sets bipolar soft expert sets group decision-making algorithm non-powered dams

COVID-19 and hepatic injury: cellular and molecular mechanisms in diverse liver cells

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 Gastroenterology 2023年第3期29卷 425-449页

作者： Fares E m ali mostafa K Abd El-Aziz mahmoud m ali Osama m Ghogar Adel G Bakr Department of Pharmacology and Toxicology Faculty of PharmacyAl-Azhar UniversityAssiut 71524Egypt Department of Pharmacology Al-Azhar UniversityAssiut 71524Egypt Department of Biochemistry Faculty of Pharmacy Badr University in AssiutEgypt

The coronavirus disease 2019(COVID-19)represents a global health and economic *** injuries have been approved to be associated with severe acute respiratory syndrome coronavirus(SARS-CoV-2)*** viral tropism pattern of SARS-CoV-2 can induce hepatic injuries either by itself or by worsening the conditions of patients with hepatic ***,other factors have been reported to play a crucial role in the pathological forms of hepatic injuries induced by SARS-CoV-2,including cytokine storm,hypoxia,endothelial cells,and even some treatments for *** the other hand,several groups of people could be at risk of hepatic COVID-19 complications,such as pregnant women and *** present review outlines and discusses the interplay between SARS-CoV-2 infection and hepatic injury,hepatic illness comorbidity,and risk ***,it is focused on the vaccination process and the role of developed vac-cines in preventing hepatic injuries due to SARS-CoV-2 infection.

关键词： COVID-19 Hepatic injury Viral tropism COVID-19 comorbidity Vaccination

HDLIDP: A Hybrid Deep Learning Intrusion Detection and Prevention Framework

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2022年第11期73卷 2293-2312页

作者： magdy m.Fadel Sally m.El-Ghamrawy Amr m.T.ali-Eldin mohammed K.Hassan ali I.El-Desoky Computer Engineering and Systems Department Faculty of EngineeringMansoura UniversityMansoura35516DKEgypt Head of Communications and Computer Engineering Department MISR Higher Institute for Engineering and TechnologyMansoura35111DKEgypt mechatronics Department Faculty of EngineeringHours University in Egypt(HUE)New Damietta34517DTEgypt

Distributed denial-of-service(DDoS)attacks are designed to interrupt network services such as email servers and webpages in traditional computer ***,the enormous number of connected devices makes it difficult to operate such a network *** defined networks(SDN)are networks that are managed through a centralized control system,according to *** controller is the brain of any SDN,composing the forwarding table of all data plane network *** the advantages of SDN controllers,DDoS attacks are easier to perpetrate than on traditional *** the controller is a single point of failure,if it fails,the entire network will *** paper offers a Hybrid Deep Learning Intrusion Detection and Prevention(HDLIDP)framework,which blends signature-based and deep learning neural networks to detect and prevent *** framework improves detection accuracy while addressing all of the aforementioned *** validate the framework,experiments are done on both traditional and SDN datasets;the findings demonstrate a significant improvement in classification accuracy.

关键词： Software defined networks(SDN) distributed denial of service attack(DDoS) signature-based detection whale optimization algorism(WOA) deep learning neural network classifier

Therapeutic potential of Calotropis gigantea extract against invasive pulmonary aspergillosis:In vitro and in vivo study

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2022年第6期12卷 243-252页

作者： Enas m.ali manal A.Alfwuaires Gehan m.Badr Department of Biological Sciences Faculty of ScienceKing Faisal UniversityP.O.Box 380Al-Ahsa 31982Saudi Arabia Department of Botany and microbiology Faculty of ScienceCairo UniversityCairo 12613Egypt Department of Zoology Faculty of ScienceAin Shams UniversityCairo11566Egypt

Objective:To characterize the antifungal activity of methanolic leaf extract of Calotropis gigantea alone or in combination with amphotericin B against invasive pulmonary aspergillosis in ***:GC/mS was used for analysis of active constituents of Calotropis gigantea *** germination assay and broth micro-dilution method were used to determine antifungal potential of Calotropis gigantea/amphotericin B against Aspergillus *** mice were randomly assigned into 5 groups:group 1 was neutropenic(control);group 2 was infected with Aspergillus fumigatus;group 3 was infected with Aspergillus fumigatus,and treated with Calotropis gigantea extract;group 4 was infected with Aspergillus fumigatus and treated with amphotericin B;group 5 was infected with Aspergillus fumigatus and treated with both Calotropis gigantea extract and amphotericin *** lung tissues were histopathologically *** burden and gliotoxin concentration were evaluated in lung ***,superoxide dismutase,and malondialdehyde content were determined in lung ***,tumor necrosis factor-alpha,interleukin-1,and interleukin-17 were also estimated by the sandwich enzyme-linked immuno-sorbent ***:Calotropis gigantea/amphotericin B had a minimum inhibitory concentration and minimum fungicidal concentration of 80 and 160μg/mL,respectively,for Aspergillus ***,Calotropis gigantea/amphotericin B significantly reduced lung fungal burden by 72.95%and inhibited production of gliotoxin in lung tissues from 6320 to 1350μg/g *** gigantea/amphotericin B reduced the oxidative stress of the lung via elevating the activity of antioxidant enzymes and decreasing the levels of lipid *** activity and the production of pro-inflammatory cytokines were also significantly *** electron microscopy revealed deteriorations in the hyphae ultrastructure in Calotropis gigantea/amphotericin B trea

关键词： Aspergillus fumigatus Antifungal Invasive pulmonary aspergillosis Calotropis gigantea Amphotericin B mice

An Optimal DF Based method for Transient Stability Analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2022年第2期70卷 3449-3471页

作者： Z.A.Zaki Emad m.Ahmed Ziad m.ali Imran Khan Department of Electrical Engineering College of EngineeringJouf UniversitySakaka2014Al-JoufSaudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan

The effect of energy on the natural environment has become increasingly severe as human consumption of fossil energy has *** capacity of the synchronous generators to keep working without losing synchronization when the system is exposed to severe faults such as short circuits is referred to as the power system’s transient *** the power system’s safe and stable operation and mechanism of action become more complicated,higher demands for accurate and rapid power system transient stability analysis are *** methods for analyzing transient stability are less accurate because they do not account formisclassification of unstable *** a result,this paper proposes a novel approach for analyzing transient *** key concept is to use deep forest(DF)and a neighborhood rough reduction approach *** the neighborhood rough sets,the original feature space is obtained by creating many optimal feature subsets at various granularity ***,by deploying the DF cascade structure,the mapping connection between the transient stability state and the features is *** weighted voting technique is used in the learning process to increase the classification accuracy of unstable *** contrasted to current methods,simulation results indicate that the proposed approach outperforms them.

关键词： Transient stability analysis power system cascade structure optimal power flow

Long non-coding RNA(lncRNA):A potential therapeutic target in acute lung injury

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Genes & Diseases 2022年第5期9卷 1258-1268页

作者： Almaz Zaki m.Shadab ali Vijay Hadda Syed mansoor ali Anita Chopra Tasneem Fatma Department of Pulmonary Critical Care and Sleep MedicineAll India Institute of Medical SciencesNew Delhi 110029India Department of Biosciences Jamia Millia Islamia UniversityNew Delhi 110025India Department of Biotechnology Jamia Millia Islamia UniversityNew Delhi 110025India Lab Oncology Dr.BRA-IRCHAll India Institute of Medical SciencesNew Delhi 110029India

Acute Lung Injury(ali)and its severe form Acute Respiratory Distress Syndrome(ARDS)are the major cause of ICU death ***/ARDS is characterized by severe hypoxemia and inflammation that leads to poor lung *** many advances in understanding and management,ali/ARDS is still causing significant morbidity and *** non-coding RNA(lncRNA)is a fast-growing topic in lung inflammation and *** is a class of non-coding RNA having a length of more than 200 *** has been a center of research for understanding the pathophysiology of various diseases in the past few *** studies have shown that lncRNAs are abundant in acute lung injury/injuries in mouse models and cell *** targeting these long non-coding RNAs,many investigators have demonstrated the alleviation of ali in various mouse ***,lncRNAs show great promise as a therapeutic target in *** review provides the current state of knowledge about the relationship between lncRNAs in various biological processes in acute lung injury and its use as a potential therapeutic target.

关键词： Acute lung injury Apoptosis Inflammation Long non-coding RNA(lncRNA) macrophage polarization

Disturbance Evaluation in Power System Based on machine Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2022年第4期71卷 231-254页

作者： Emad m.Ahmed mohamed A.Ahmed Ziad m.ali Imran Khan Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72388Al-JoufSaudi Arabia Department of Electrical Engineering College of EngineeringPrince Sattam bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Department of Electrical Engineering Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan

The operation complexity of the distribution system increases as a large number of distributed generators(DG)and electric vehicles were introduced,resulting in higher demands for fast online reactive power *** a power system,the characteristic selection criteria for power quality disturbance classification are not *** classification effect and efficiency needs to be improved,as does the generalization *** order to categorize the quality in the power signal disturbance,this paper proposes a multi-layer severe learning computer auto-encoder to optimize the input weights and extract the characteristics of electric power quality ***,a multi-label classification algorithm based on rating is proposed to understand the relationship between the labels and identify the various power quality *** two algorithms are combined to construct a multi-label classification model based on a multi-level extreme learning machine,and the optimal network structure of the multi-level extreme learning machine as well as the optimal multi-label classification threshold are *** proposed method can be used to classify the single and compound power quality disturbances with improved classification effect,reliability,robustness,and anti-noise performance,according to the experimental *** hamming loss obtained by the proposed algorithm is about 0.17 whereas mL-RBF,SVm and mL-KNN schemes have 0.28,0.23 and 0.22 respectively at a noise intensity of 20 *** average precision obtained by the proposed algorithm 0.85 whereas the mL-RBF,SVm and mL-KNN schemes indicates 0.7,0.77 and 0.78 respectively.

关键词： Optimal power flow optimization algorithm deep learning power systems