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Graphene oxide-lithium-ion batteries:inauguration of an era in energy storage technology

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Clean Energy 2024年第3期8卷 194-205页

作者： Yachana Mishra Aditi Chattaraj Alaa AA Aljabali mohamed el-Tanani Murtaza M.Tambuwala Vijay Mishra school of Bioengineering and Biosciences Lovely Professional UniversityPhagwara(Punjab)-144411India Department of Pharmaceutics&Pharmaceutical Technology Yarmouk UniversityIrbidJordan College of Pharmacy Ras Al Khaimah Medical and Health Sciences UniversityUAE Lincoln Medical school University of LincolnBrayford Pool CampusLincoln LN67TSEnglandUK school of Pharmaceutical sciences Lovely Professional UniversityPhagwara(Punjab)-144411India

A significant driving force behind the brisk research on rechargeable batteries,particularly lithium-ion batteries(LiBs)in high-performance applications,is the development of portable devices and electric ***-based materials,which have finite specific capacity,make up the anodes of *** attempts are being made to produce novel nanostructured composite anode materials for LiBs that display cycle stability that is superior to that of graphite using graphene ***,using significant amounts of waste graphene oxide from used LiBs represents a fantastic opportunity to engage in waste management and circular *** review outlines recent studies,developments and the current advancement of graphene oxide-based LiBs,including preparation of graphene oxide and utilization in LiBs,particularly from the perspective of energy storage technology,which has drawn more and more attention to creating high-performance electrode systems.

关键词： lithium-ion batteries graphene oxide energy storage technology waste management clean energy

strain engineering in electrocatalysis:strategies,characterization,and insights

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Nano Research 2024年第5期17卷 3603-3621页

作者： Qibo Deng Peng Xu Hassanien Gomaa mohamed A.shenashen sherif A.el-safty Cuihua An Li-Hua shao Ning Hu school of Mechanical Engineering Hebei University of TechnologyTianjin 300401China Department of Chemistry Faculty of ScienceAl-Azhar University71524AssiutEgypt Department of Petrochemical Egyptian Petroleum Research Institute(EPRI)Nasr City11727CairoEgypt Center for Functional Materials National Institute for Materials Science(NIMS)1-2-1 SengenTsukubaIbaraki-ken305-0047Japan state Key Laboratory of Reliability and Intelligence electrical Equipment Key Laboratory of Advanced Intelligent Protective Equipment TechnologyMinistry of Educationand School of Mechanical EngineeringHebei University of TechnologyTianjin 300401China National Key Laboratory of strength and structural Integrity Institute of Solid MechanicsSchool of Aeronautic Science and EngineeringBeihang UniversityBeijing100191China Advanced Equipment Research Institute Co. Ltd.of HEBUTTianjin 300401China

strain engineering,as a cutting-edge method for modulating the electronic structure of catalysts,plays a crucial role in regulating the interaction between the catalytic surface and the adsorbed *** electrocatalytic performance is influenced by the electronic structure,which can be achieved by introducing the external forces or stresses to adjust interatomic spacing between surface *** challenges in strain engineering research lie in accurately understanding the mechanical impact of strain on *** paper first introduces the basic strategy for generating the strain,summarizes the different strain generation forms and their advantages and *** progress in researching the characterization means for the lattice strains and their applications in the field of electrocatalysis is also ***,the challenges of strain engineering are introduced,and an outlook on the future research directions is provided.

关键词： strain electrocatalysis characterization chemical reaction kinetics lattice mismatch

surface morphology and cell viability of samarium(Ⅲ) oxide/chromium(Ⅲ) oxide/graphene oxide/polycaprolactone targeting wound dressing

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Journal of Rare Earths 2024年第3期42卷 555-561,I0005页

作者： Muteb H.Alshammari Ahmed Onayzan Alshammari mohamed Tharwat elabbasy Rafat Zreiq Faris Mohammed Albati M.A.el-Morsy A.A.Menazea Department of Health Informatics College of Public Health and Health InformaticsUniversity of Ha'ilHa'ilSaudi Arabia Department of surgery College of MedicineUniversity of Ha'ilHa'ilSaudi Arabia Department of Public Health College of Public Health and HealthInformaticsHalUniversityHa'il2440Saudi Arabi Food Control Department Faculty of Veterinary MedicineZagazig UniversityZagazig44519Egypt Applied science Research Center Applied Science Private UniversityAmman541350Jordan College of shariah and Law Ha'il UniversityHa'il2440Saudi Arabia College of science and Humanities in Al-Kharj Physics DepartmentPlasma Technology and Material Science UnitPrince Sattam Bin Abdulaziz UniversityAl-kharj11942Saudi Arabia Physics Department Faculty of ScienceUniversity of DamittaNew Damietta34517.Egyp spectroscopy Department Physics Research InstituteNational Research CentreDokki12622GizaEgypt

Combinations of metal and lanthanide oxides have been done through casted films for potential medical applications. In this regard, samarium(Ⅲ) oxide/chromium(Ⅲ) oxide/graphene oxide(GO)/polycaprolactone(PCL) based films nano-composites(NCs) were fabricated, pointing their utilization as a biological scaffold for wound dressing purposes. Also, samarium(Ⅲ) oxide and chromium(Ⅲ) oxide have been merged as promising optical constituents due to their unique optical behavior. The structural and compositional examination of the studied NCs was executed by X-ray diffraction(XRD), Raman, and field emission scanning electron microscopy(FEsEM). The sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL NC exhibits a surface with a lower roughness degree owing to the presence of GO. Cr_(2)O_(3)shows size reduction upon GO insertion to reach 1.2 μm as the average grain size, whilst sm_(2)O_(3)records an average grain size of less than 1 μm. As well, the polymeric nano-compositions exhibit variation in contact angle values that hit 29.76°± 3.52°for sm_(2)O_(3)/PCL, and 48.62°± 1.37°for sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL as the second lowest contact angle. The optical behavior contributes to absorption edge relocation along the x-axis from 1.7 eV for pure PCL, to 2.65 eV for sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL. Regarding biological responses, the cell exposed to 2.5 μg/m L of sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL shows cell viability of 119.31%, while 5 μg/m L hits 99.6%. Additionally, the resulting cell attachment micrographs show layers of fibroblast tissue, besides the proliferation and growth of cultivated cells. Thus, the sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL scaffold provides 3D proliferation of fibroblast cells endorsing the wound healing process.

关键词： Wound healing Wound dressing Polycaprolactone sm_(2)O_(3) Cr_(2)O_(3) Rare earths

Depositional Environment,Petrophysical Evaluation and electrical Properties of Zeit Formation,Northwestern shore of Gulf of suez,Egypt

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Journal of Earth science 2024年第5期35卷 1720-1737页

作者： mohamed M.Gomaa Emad A.Abd el Aziz Geophysical sciences Department National Research CentreEl-Behoos St.DokkiCairo 12622Egypt

The Zeit sand reservoir is one of the most prolific formations at Northwestern side of the Gulf of *** this research we will try to coordinate between electrical,petrophysical properties,depositional environment and facies discrimination in order to evaluate the hydrocarbon potentiality of studied Zeit *** statistical parameters for potassium(K),thorium(Th)and Th/U ratio contents have a general increase towards northwestern parts,whereas uranium(U)content has a general increase towards southeastern *** sandstone facies is distinguished from the other facies by its thorium content>4 ppm.U has high carbonate content(U≥1 ppm).Rocks.electrical properties vary greatly depending on a number of *** measurements were taken at frequencies range of(5×10^(-4)Hz-100 kHz)for fully saturated samples(clayey sandstone)with NaCl(20 gm/L).As salinity,clay content,and frequency increase,consequently does the electrical *** continental condition are present in northwestern part(back-sea)which is distinguished by high K percent,high Th,high Th/U ratio,and low U *** K,Th,and Th/U ratio contents,with high U contents,characterize the marine depositional environment that existed around the east and southeastern parts(foresea coincide with the dipping of strata).Furthermore,the studied Zeit Formation has good petrophysical properties that coincide with marine *** middle and eastern parts(around Iss-94 and Css-288)is a good reservoir(porosity 36%-39%,shale contentsaturation 71%-92%,and net pay thickness 17-63 feet).

关键词： Zeit Formation petrophysical evaluation depositional environment spectral Gamma Ray electrical properties gulf of suez sedimentology

Enhancing Renewable Energy Integration:A Gaussian-Bare-Bones Levy Cheetah Optimization Approach to Optimal Power Flow in electrical Networks

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1339-1370页

作者： Ali s.Alghamdi mohamed A.Zohdy saad Aldoihi Department of electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia electrical and Computer Engineering Department Oakland UniversityRochesterMI48309USA Institute of Earth and space science King Abdulaziz City for Science and Technology(KACST)Riyadh11442Saudi Arabia Computer science and systems Engineering Institute Polytechnique de ParisPalaiseau CedexFrance

In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(REss).Efficient integration of stochastic REss and optimal power flow(OPF)management are critical for network *** study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic *** primary objective is to minimize the total operating costs of REss,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VsI)and power loss ***,a carbon tax is included in the objective function to reduce carbon *** scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal *** results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VsI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution ***,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VsI)*** research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local *** emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.

关键词： Renewable energy integration optimal power flow stochastic renewable energy sources gaussian-bare-bones levy cheetah optimizer electrical network optimization carbon tax optimization

A New speed Limit Recognition Methodology Based on Ensemble Learning:Hardware Validation

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Computers, Materials & Continua 2024年第7期80卷 119-138页

作者： mohamed Karray Nesrine Triki mohamed Ksantini EsME ESME Research LabIvry Sur Seine94200France CEM Lab ENISUniversity of SfaxSfax3038Tunisia

Advanced DriverAssistance systems(ADAs)technologies can assist drivers or be part of automatic driving systems to support the driving process and improve the level of safety and comfort on the *** sign Recognition system(TsRs)is one of themost important components *** the challengeswith TsRs is being able to recognize road signs with the highest accuracy and the shortest processing ***,this paper introduces a new real time methodology recognizing speed Limit signs based on a trio of developed ***,the speed Limit Detection(sLD)module uses the Haar Cascade technique to generate a new sL detector in order to localize sL signs within captured ***,the speed Limit Classification(sLC)module,featuring machine learning classifiers alongside a newly developed model called DeepsL,harnesses the power of a CNN architecture to extract intricate features from speed limit sign images,ensuring efficient and precise *** addition,a new speed Limit Classifiers Fusion(sLCF)module has been developed by combining trained ML classifiers and the DeepsL model by using the Dempster-shafer theory of belief functions and ensemble learning’s voting *** rigorous software and hardware validation processes,the proposedmethodology has achieved highly significant F1 scores of 99.98%and 99.96%for Ds theory and the votingmethod,***,a prototype encompassing all components demonstrates outstanding reliability and efficacy,with processing times of 150 ms for the Raspberry Pi board and 81.5 ms for the Nano Jetson board,marking a significant advancement in TsRs technology.

关键词： Driving automation advanced driver assistance systems(ADAs) traffic sign recognition(TsR) artificial intelligence ensemble learning belief functions voting method

A Distributionally Robust Optimization scheduling Model for Regional Integrated Energy systems Considering Hot Dry Rock Co-Generation

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1387-1404页

作者： Hao Qi mohamed sharaf Andres Annuk Adrian Ilinca mohamed A.mohamed College of electrical and New Energy China Three Gorges UniversityYichang443002China Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Institute of Forestry and Engineering Estonian University of Life SciencesTartu51006Estonia Department of Mechanical Engineering école de Technologie SupérieureMontréalQC H3C 1K3Canada electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61519Egypt

Hot dry rock(HDR)is rich in reserve,widely distributed,green,low-carbon,and has broad development potential and *** this paper,a distributionally robust optimization(DRO)scheduling model for a regionally integrated energy system(RIEs)considering HDR co-generation is ***,the HDR-enhanced geothermal system(HDR-EGs)is introduced into the ***-EGs realizes the thermoelectric decoupling of combined heat and power(CHP)through coordinated operation with the regional power grid and the regional heat grid,which enhances the system wind power(WP)feed-in ***,peak-hour loads are shifted using price demand response guidance in the context of time-of-day ***,the optimization objective is established to minimize the total cost in the RIEs scheduling cycle and construct a DRO scheduling model for RIEs with *** simulating a real small-scale RIEs,the results show that HDR-EGs can effectively promote WP consumption and reduce the operating cost of the system.

关键词： Energy harvesting integrated energy systems optimum scheduling time-of-use pricing demand response geothermal energy

Calculus bovis in hepatocellular carcinoma:Tumor molecular basis,Wnt/β-catenin pathway role,and protective mechanism

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World Journal of Gastroenterology 2024年第35期30卷 3959-3964页

作者： Khaled mohamed mohamed Koriem Department of Medical Physiology Medical Research and Clinical Studies InstituteNational Research CentreGiza 12622Egypt

In this editorial,we comment on the recent article by Huang et *** editorial focuses specifically on the molecular mechanisms of hepatocellular carcinoma(HCC),mechanism of Wnt/β-catenin pathway in HCC,and protective mechanism of Calculus bovis(CB)in *** cancer is the fourth most common cause of cancer-related deaths *** most prevalent kind of primary liver cancer,HCC,is typically brought on by long-term viral infections(hepatitis B and C),non-alcoholic steatohepatitis,excessive alcohol consumption,and other conditions that can cause the liver to become chronically inflamed and *** is a wellknown traditional remedy in China and Japan and has been used extensively to treat a variety of diseases,such as high fever,convulsions,and *** in lipid metabolism,cholesterol metabolism,bile acid metabolism,alcohol metabolism,and xenobiotic detoxification lead to fatty liver disease and liver ***,which is a tricarboxylic acid cycle intermediate,is vital to energy production and mitochondrial *** is also thought to be a signaling molecule in metabolism and in the development and spread of liver *** Wnt/β-catenin pathway is made up of a group of proteins that are essential for both adult tissue homeostasis and embryonic *** is frequently caused by the dysregulation of the Wnt/β-catenin signaling *** HCC liver carcinogenesis,Wnt/β-catenin signaling is activated by the expression of downstream target *** between the liver and the gut exists via the portal vein,biliary tract,and systemic ***"gutliver axis"controls intestinal *** of the main factors contributing to the development,progression,and treatment resistance of HCC is the abnormal activation of the Wnt/β-Catenin signaling ***,understanding this pathway is essential to treating *** ingredients of CB,particularly oleanolic acid,ergosterol,and ursolic acid,have anti-p

关键词： Hepatocellular carcinoma MicroRNAs Wnt/β-catenin pathway Calculus bovis Apoptosis

Particle swarm Optimization-Based Hyperparameters Tuning of Machine Learning Models for Big COVID-19 Data Analysis

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Journal of Computer and Communications 2024年第3期12卷 160-183页

作者： Hend s. salem mohamed A. Mead Ghada s. el-Taweel Department of Computer sciences Suez Canal University Ismailia Egypt

Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The COVID-19 pandemic has had a significant impact on public health worldwide, emphasizing the need for effective risk prediction models. Machine learning (ML) techniques have shown promise in analyzing complex data patterns and predicting disease outcomes. The accuracy of these techniques is greatly affected by changing their parameters. Hyperparameter optimization plays a crucial role in improving model performance. In this work, the Particle swarm Optimization (PsO) algorithm was used to effectively search the hyperparameter space and improve the predictive power of the machine learning models by identifying the optimal hyperparameters that can provide the highest accuracy. A dataset with a variety of clinical and epidemiological characteristics linked to COVID-19 cases was used in this study. Various machine learning models, including Random Forests, Decision Trees, support Vector Machines, and Neural Networks, were utilized to capture the complex relationships present in the data. To evaluate the predictive performance of the models, the accuracy metric was employed. The experimental findings showed that the suggested method of estimating COVID-19 risk is effective. When compared to baseline models, the optimized machine learning models performed better and produced better results.

关键词： Big COVID-19 Data Machine Learning Hyperparameter Optimization Particle swarm Optimization Computational Intelligence