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Entropy per Rapidity in Pb-Pb Central Collisions using Thermal and Artificial Neural Network(ANN)Models at LHC Energies

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Chinese Physics C 2022年第7期46卷 27-40页

作者： D.M.Habashy Mahmoud y.el-Bakry Werner Scheinast Mahmoud Hanafy Ain Shams University Faculty of Education Physics Department11771RoxyCairoEgypt Joint Institute for Nuclear Research-Veksler and Baldin Laboratory of High Energy Physics Moscow Region141980 DubnaRussia Physics Department Faculty of ScienceBenha University13518BenhaEgypt

The entropy per rapidity dS/dy produced in central Pb-Pb ultra-relativistic nuclear collisions at LHC energies is calculated using experimentally identified particle spectra and source radii estimated from Hanbury Brown-Twiss (HBT) correlations for particles π, k, p, Λ, Ω, and ∑ and π, k, p, Λ, and K^(0)_(s) at √s =2.76 and 5.02 TeV, respectively. An artificial neural network (ANN) simulation model is used to estimate the entropy per rapidity dS/dy at the considered energies. The simulation results are compared with equivalent experimental data, and a good agreement is achieved. A mathematical equation describing the experimental data is obtained. Extrapolation of the transverse momentum spectra at pT =0 is required to calculate dS/dy;thus, we use two different fitting functions, the Tsallis distribution and hadron resonance gas (HRG) model. The success of the ANN model in describing the experimental measurements leads to the prediction of several spectra values for the mentioned particles, which may lead to further predictions in the absence of experiments.

关键词： HRG Tsallis ANN RPropp

Synthesis of newly cationic surfactant based on dimethylaminopropyl amine and their silver nanoparticles:Characterization;surface activity and biological activity

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Chinese Chemical Letters 2017年第2期28卷 264-273页

作者： Samy M.Shaban Ismail Aiad Mohamed M.el-Sukkary E.A.Soliman Moshira y.el-Awady Petrochemical Department Egyptian Petroleum Research Institute Faculty of Science Ain Shams University

The chemical structure of newly synthesized cationic surfactants based on Schiff base was confirmed using Fourier transform infrared spectroscopy,proton nuclear magnetic resonance spectroscopy,and mass *** synthesized surfactants were used in the synthesis of silver nanoparticles by a simple one-step *** silver nanoparticle（AgNPs） formation was confirmed using transmission electron microscopy（TEM）,electron diffraction（SAED）,dynamic light scattering（DLS）,and energy dispersive X-ray spectroscopy（EDX）.The structure of the surfactant played an important role in the synthesis *** the hydrophobic chain length,the stability,and the amount of surfactant increased the quantity of AgNPs *** surface activity of the synthesized cationic surfactants was determined using surface tension measurements at three different *** synthesized surfactants showed a high tendency toward adsorption and *** the hydrophobic chain length of the synthesized surfactant increased its *** the synthesized cationic surfactants and their nano-form against bacteria and fungi showed that they are highly *** silver nanoparticles enhanced the biological activity of the synthesized cationic surfactants.

关键词： Cationic surfactant Silver nanoparticles Dynamic light scattering Biological activity Surface parameters Thermodynamic parameters

Preparation of capped silver nanoparticles using sunlight and cationic surfactants and their biological activity

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Chinese Chemical Letters 2015年第11期26卷 1415-1420页

作者： Samy M.Shaban Ismail Aiad Mohamed M.el-Sukkary E.A.Soliman Moshira y.el-Awady Petrochemical Department Egyptian Petroleum Research Institute Faculty of Science Ain Shams University

Silver nanoparticles were prepared in situ using sunlight and cationic surfactants. Silver nano-particles were confirmed using UV-vis spectropbotometry, transmission electron microscopy （TEM）, electron diffraction, dynamic light scattering （DLS） and FTIR. Increasing the hydrophohic chain length of surfactants increase the amount of silver nano-particles formed in addition to increasing their stability. The results showed formed, uniform, well arranged hexagonal and spherical shapes. The prepared silver nanoparticles exhibit enhanced biological activity against Cram-positive, Gram-negative bacteria and sulfate reducing bacteria （SRB）.

关键词： Silver nano-particlesPhotosynthesisSpherical shapesZeta potentialBiological activitySRB

A Synergistic Multi-Attribute Decision-Making Method for Educational Institutions Evaluation Using Similarity Measures of Possibility Pythagorean Fuzzy Hypersoft Sets

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 501-530页

作者： Khuram Ali Khan Saba Mubeen Ishfaq Atiqe Ur Rahman Salwa el-Morsy Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be *** concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such *** study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and *** results related to these operations are also modified for ***,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and ***,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested *** algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical ***,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison.

关键词： Hypersoft set Pythagorean fuzzy hypersoft set computational complexity multi-attribute decision-making optimization similarity measures uncertainty

Local Features-Based Watermarking for Image Security in Social Media

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Computers, Materials & Continua 2021年第12期69卷 3857-3870页

作者： Shady y.el-mashad Amani M.yassen Abdulwahab K.Alsammak Basem M.elhalawany Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt Department of Communications and electronics Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt

The last decade shows an explosion of using social media,which raises several challenges related to the security of personal files including *** challenges include modifying,illegal copying,identity fraud,copyright protection and ownership of *** digital watermarking techniques embed digital information inside another digital information without affecting the visual quality for security *** this paper,we propose a hybrid digital watermarking and image processing approach to improve the image security ***,variants of the widely used Least-Significant Bit(LSB)watermarking technique are merged with a blob detection algorithm to embed information into the boundary pixels of the largest blob of a digital *** proposed algorithms are tested using several experiments and techniques,which are followed by uploading the watermarked images into a social media site to evaluate the probability of extracting the embedding *** results show that the proposed approaches outperform the traditional LSB algorithm in terms of time,evaluation criteria and the percentage of pixels that have changed.

关键词： Digital watermarking LSB social media blob detection image security

中能区64Zn+27Al反应中集体流的实验研究

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中能区64Zn+27Al反应中集体流的实验研究

Determination of gamma ray spectrometry efficiency for the attenuation coefficients of some bismuth borate glasses by MCNP and(ISOCS)techniques

第九届全国核物理大会

作者：贺智勇 J.Peter J.C.Angelique A.Auger G.Bizard R.Brou A.Buta C.Cabot E.Crema D.Cussol y.el masri Ph.Eudes M.Gonin K.Hagel A.Kerambrum C.Lebrun A.Peghaire R.Popescu R.Regimbart E.Rosato F.Saint-Laurent J.C,Steckmeyer B.Tamain E.Vient R.Wada 中国科学院近代物理研究所 LPC Caen ISMRAIN2P3—CNRS14050 CAEN CEDEXFRANCE GANIL BP5027 14021 CAEN CEDEXFRANCE Institut de Physique Nuclear UCL1348 Louvain—La—NeuveBELGIUM LPN Universite de Nantes44072 NANTES CEDEXFRANCE Cyclotron Institut Texas A&M UniversityCollege StationTX77843USA

核物质集体流的研究是重离子碰撞中很重要的一个研究课题,通过它可以探讨核物质状态方程．压缩效应和重离子碰撞动力学等．最近,我们在中能区观察到了集体流及其消失,买验是在法国 GANIL 加速器上进行的,用49,57,69和79 MeV/u 的“Zn ...

核物质集体流的研究是重离子碰撞中很重要的一个研究课题,通过它可以探讨核物质状态方程．压缩效应和重离子碰撞动力学等．最近,我们在中能区观察到了集体流及其消失,买验是在法国 GANIL 加速器上进行的,用49,57,69和79 MeV/u 的“Zn 束轰击Al 靶．前角3°至30°间粒子的探测由96块塑料闪烁体片组成的塑闪墙完成,塑闪墙分七环,靶距210cm．中后角30°至150°间

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Radiation Detection Technology and Methods 2018年第2期2卷 67-74页

作者： Ahmed y.el-Haseib Z.Ahmed yasser B.Saddeek Radiation Safety Department Egyptian Nuclear and Radiological Regulatory Authority(ENRRA)Nasr CityCairoEgypt Nuclear Safeguards and Physical Protection Department Egyptian Nuclear and Radiological Regulatory Authority(ENRRA)Nasr CityCairoEgypt Physics Department Faculty of ScienceAl-Azhar UniversityAssiut 71524Egypt

Background Radiation detection has been a main interest for researchers as all kind of produced particles in atomic and subatomic physics based on the measurement systems so-called *** efficiency is one of the main parameters in detection system besides many other different parameters of the *** detector in experimental physics is an instrument that converts radiation energy into an electrical signal,and this is achieved basically by either ionization or *** choice for any type of a detector(gas-filled,scintillation or semiconductor)for any application depends upon the X-ray of gamma energy range of interest.A working model is therefore developed which is capable of describing the overall NaI(Tl)detection efficiency as a function of several known *** The attenuation coefficients for the bismuth borate glasses with different concentrations were measured using gamma spectroscopy *** numerical absolute efficiency calibration of a detector can be determined by In-Situ Object Calibration Software(ISOCS)and Monte Carlo Neutral Particle version 5(MCNP5)techniques which does not require any calibration standards or reference *** By using the ISOCS and MCNP5 methodologies,the full energy peak efficiency of a scintillator detector(3“X3”NaI(Tl))exposed to Co-60 and Cs-137 gamma ray sources with average accuracy range 0.126–1.224%for the used samples can be *** used materials are ternary and are located between the detector and the source to determine the attenuation coefficients for these samples by using the calculated full energy peak efficiencies of a *** The average accuracy ranged from−1.808 to 1.960%for linear attenuation coefficient(μ),while it ranged from−1.999 to 1.888%and from−1.924 to 1.960%for half value layer(HVL)and mass linear attenuation coefficient(μm),*** The calculated values of the absolute full energy peak efficiency have been used to determi

关键词： Detection efficiency Sodium iodine(NaI) Linear attenuation coefficient(μ) Mass linear attenuation coefficient(μm) Half-value layer(HVL)

Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea Hamiden Abd el-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

Improved Prediction of Metamaterial Antenna Bandwidth Using Adaptive Optimization of LSTM

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Computers, Materials & Continua 2022年第10期73卷 865-881页

作者： Doaa Sami Khafaga Amel Ali Alhussan el-Sayed M.el-kenawy Abdelhameed Ibrahim Said H.Abd elkhalik Shady y.el-Mashad Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

The design of an antenna requires a careful selection of its parameters to retain the desired ***,this task is time-consuming when the traditional approaches are employed,which represents a significant *** the other hand,machine learning presents an effective solution to this challenge through a set of regression models that can robustly assist antenna designers to find out the best set of design parameters to achieve the intended *** this paper,we propose a novel approach for accurately predicting the bandwidth of metamaterial *** proposed approach is based on employing the recently emerged guided whale optimization algorithm using adaptive particle swarm optimization to optimize the parameters of the long-short-term memory(LSTM)deep *** optimized network is used to retrieve the metamaterial bandwidth given a set of *** addition,the superiority of the proposed approach is examined in terms of a comparison with the traditional multilayer perceptron(ML),Knearest neighbors(K-NN),and the basic LSTM in terms of several evaluation criteria such as root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE).Experimental results show that the proposed approach could achieve RMSE of(0.003018),MAE of(0.001871),and MBE of(0.000205).These values are better than those of the other competing models.

关键词： Metamaterial antenna long short term memory(LSTM) guided whale optimization algorithm(Guided WOA) adaptive dynamic particle swarm algorithm(AD-PSO)