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Soybean lecithin-based extender improves Damascus goat sperm cryopreservationand fertilizing potential following artificial insemination

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Asian pacific Journal of Reproduction 2019年第4期8卷 174-180页

作者： mohamed Fathi Rawash Zaher Dohreig Ragab inas Gamal Assi mohamed Eman Abu-El Naga Magdy Badr Department of Theriogenology Faculty of Veterinary MedicineCairo UniversityGizaEgypt Artificial Insemination and Embryo Transfer Department Animal Reproduction Research InstituteGizaEgypt Immunity Department Animal Reproduction Research InstituteGizaEgypt Pathology Department Animal Reproduction Research InstituteGizaEgypt 5Department of TheriogenologyFaculty of Veterinary MedicineAswan UniversityAswanEgypt

Objective: To study the effect of adding different concentrations of soybean lecithin in Tris based extender and to compare the results of Tris soybean lecithin extender with two commercial diluents (egg yolk-based: BullXcell and plant-based: OptiXcell) for Damascus goat sperm cryopreservation. Methods: The ejaculates from 4 mature male Damascus goats were obtained by using an artificial vagina. Semen samples were pooled and diluted in Tris extender supplemented with soybean lecithin at different concentrations of 1.5%, 3.0%, 6.0% and 10.0% to get better concentration to be used for further experiments, with a final concentration of 240×106 spermatozoa/mL. Semen samples were packed in straws (0.25 mL), frozen by using an automated system and stored in liquid nitrogen at -196 ℃ for 48 h. After thawing (37 ℃/30 s), the samples were evaluated for sperm quality parameters, including sperm motility, membrane integrity and acrosome integrity. Malondialdehyde concentration was estimated as a marker for lipid peroxidation. Based on the previous investigations, only Tris extender supplemented with 3.0% soybean lecithin (based on its positive results) was used versus BullXcell and OptiXcell for sperm ultrastructure evaluation and artificial insemination by using electron microscope and artificial insemination of the synchronized does. Results: There was no significant difference between Tris-soybean lecithin at 3.0% and BullXcell/OptiXcell diluents in post-thaw sperm parameters and fertility following artificial insemination;meanwhile, the other concentrations of soybean lecithin (1.5%, 6.0% and 10%) showed lower sperm parameters following cryopreservation. Conclusions: Using of Tris-soybean lecithin based extender at the level of 3.0% can be an appropriate alternative to either BullXcell or OptiXcell for Damascus goat sperm cryopreservation.

关键词： Damascus goat Soy lecithin Sperm cryopreservation BullXcell OptiXcell

An In-Depth Analysis on Image Mosaicing Methodologies

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An In-Depth Analysis on Image Mosaicing Methodologies

作者： mohamed ABDUL-RAHIM masoud ISSA 杭州电子科技大学

学位级别：硕士

Image mosaicing is one of the most important subjects of research in computer vision at *** mocaicing requires the integration of direct techniques and feature based *** techniques are found to be very useful for mosaicing large overlapping regions,small translations and rotations while feature based techniques are usenil for small overlapping *** based image mosaicing is a combination of comer detection,comer matching,motion parameters estimation and image *** addition to the above,image mosicing in real time applications continues to be a challenging field for experts in this *** research area has a wide application in the field of 3-dimention image reconstruction,video conferencing,numerous medical and computer vision areas as well as satellite *** are four commonly known steps involved in feature-based techniques,all identified as primary steps which include feature detection,feature matching,transformation model estimation,image resampling as well as *** Invariant Feature Transformation（SIFT）-based feature detector and Speeded Up Robust Feature（SURF）-based feature detector are both algorithms which are based on feature detection in order to accomplish image mosaicing,however both the two algorithms have strengths and limitations of their own in terms on their *** this thesis the author analyses and proposes techniques which are employed by both the above mentioned image mosaicing methods in order to generate an output image that is a result of the limitations in reference to the image *** this course of this thesis,the author classifies the past and current mosaicing techniques based on image registration as well as image *** each of these classifications,the author provides a comprehensive review of the major categories of the image mosaicing *** basics of these categories are first ***,for each of these basic categories,the evolving path

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Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads

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Frontiers of Structural and Civil Engineering 2020年第2期14卷 532-553页

作者： masoud ABEDINI Azrul AMUTALIB Chunwei ZHANG Javad MEHRMASHHADI Sudharshan Naidu RAMAN Roozbeh ALIPOUR Tohid MOM ENI mohamed HMUSSA School of Civil Engineering Qingdao University of Technology.Qingdao 266033China Department of Civil and Structural Engineering Universiti Kebangsaan MalaysiaUKM BangiSelangor 43600Malaysia Department of Mechanical and Materials Engineering University of Nebraska-LincolnLincolnNE 68588United States Department of Architecture and Built Environment Universiti Kebangsaan MalaysiaUKM BangiSelangor 43600 Malaysia Department of Mechanical Engineering Mahshahr BranchIslamic Azad UniversitMahshahrIran

Reinforced concretes(RC)have been widely used in *** construction,one of the eritical elements carrying a high percentage of the weight is columns which were not used 1o design to absorb large dynamic load like surface *** study focuses on investigating blast load parameters to design of RC columns to withstand blast *** numerical model is based on finite element amalysis using *** results are validated against blast feld tests available in the *** of simulations are performed with changing blast parameters *** efects of various scaled distances on the nonlinear bchavior of RC *** to simulation results,the scaled distance has a substantial infuence on the blast response of RC *** lower scaled distance,higher peak pressure and larger pressure impulse are applied on the RC ***,keeping the scaled disance unchanged,increasing the charge weight or shorter standoff distance cause more damage to the RC *** studies are carried out to investigate the efects of scaled distance and charge weight on the damage degree and residual axial load carrying capacity of RC columns with various column width,longitudinal reinforcement ratio and concrete *** of this research will be used to asessmsent the efet of an explosion on the dynamic behavior of RC columns.

关键词： RC column scaled disance blast load LS-DYNA

Analysis of cerium substitution in Co-Sr based spinel ferrites for high frequency application

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Journal of Rare Earths 2024年第9期42卷 1755-1763,I0005页

作者： Laura Khudaysh inas A.Ahmed Syeda Rabia Ejaz Sajjad Ahmad Khan Yasir A.Haleem mohamed M.Ibrahim Mahmood Ali Hafiz Muhammad Tahir Farid Zeinhom M.El-Bahy Department of Physics Faculty of ScienceJazan UniversityJazan45142Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62224Saudi Arabia Department of Physics The Government Sadiq College Women UniversityBahawalpur63100Pakistan Institute of Physics Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Chemistry College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Centre of Excellence in Solid State Physics University of the PunjabLahorePakistan Department of Physics Government CollegeTaunsa Sharif32200Pakistan Department of Chemistry Faculty of ScienceAl-Azhar UniversityNasr City11884CairoEgypt

Spinel ferrites exhibit exceptional magnetic properties,making them a distinctive class of magnetic *** sol-gel technique was utilized for the synthesis of spinel ferrites with the chemical formula Co_(0.6)Sr_(0.4)Ce_(x)Fe_(2-x)O_(4). Following that,a comprehensive X-ray diffraction analysis unveiled the crystalline cubic structure of the synthesized *** the utilization of the M-H loop approach,the ferromagnetic attributes of ferrites were assessed,and the assimilation of rare earth elements led to substantial enhancements in saturation magnetization,remanence,and *** ferrites with a high concentration of rare earth elements have improved direct current resistivity and activation *** logarithm of a material's resistance increased from 5.29 to 8.12 Ω·cm as cerium is *** a change in the amount of cerium,the activation energy goes up from 0.19 to *** changing the frequency from 5.5 to 9.5 GHz,the dielectric characteristics were *** the frequency goes up,the dielectric constant goes *** ferrites that have been made better in every way can be used in high-frequency applications.

关键词： Activation energy DC electrical resistance Remanence magnetization Cobalt strontium spinel ferrites High frequency application Rare earths

Optimal Deep Convolutional Neural Network for Vehicle Detection in Remote Sensing Images

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Computers, Materials & Continua 2023年第2期74卷 3117-3131页

作者： Saeed masoud Alshahrani Saud S.Alotaibi Shaha Al-Otaibi mohamed Mousa Anwer Mustafa Hilal Amgad Atta Abdelmageed Abdelwahed Motwakel mohamed I.Eldesouki Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

Object detection(OD)in remote sensing images(RSI)acts as a vital part in numerous civilian and military application areas,like urban planning,geographic information system(GIS),and search and rescue *** recognition from RSIs remained a challenging process because of the difficulty of background data and the redundancy of recognition *** latest advancements in deep learning(DL)approaches permit the design of effectual OD *** study develops an Artificial Ecosystem Optimizer with Deep Convolutional Neural Network for Vehicle Detection(AEODCNN-VD)model on Remote Sensing *** proposed AEODCNN-VD model focuses on the identification of vehicles accurately and *** detect vehicles,the presented AEODCNN-VD model employs single shot detector(SSD)with Inception network as a baseline *** addition,Multiway Feature Pyramid Network(MFPN)is used for handling objects of varying sizes in *** features from the Inception model are passed into theMFPNformultiway andmultiscale feature ***,the fused features are passed into bounding box and class prediction *** enhancing the detection efficiency of the AEODCNN-VD approach,AEO based hyperparameter optimizer is used,which is stimulated by the energy transfer strategies such as production,consumption,and decomposition in an *** performance validation of the presentedmethod on benchmark datasets showed promising performance over recent DL models.

关键词： Object detection remote sensing vehicle detection artificial ecosystem optimizer convolutional neural network

Influence of Nano-Barium Sulfate Agglomeration on Microstructure and Properties of the Hardened Cement-Based Materials

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Journal of Materials Science and Chemical Engineering 2015年第11期3卷 72-81页

作者： mohamed El-Shahate Ismaiel Saraya inas Mostafa Bakr Department of Chemistry Faculty of Science Al-Azhar University Cairo Egypt Faculty of Engineering Mattareya Helwan University Cairo Egypt

The aim of the present work is to study the effect of Nano-barium sulfate additions on the physic-mechanical properties of hardened cement pastes. Nano-barium sulfate was prepared by the precipitation method. Eight mixes of filled cement pastes containing 0.5 wt%, 1.0 wt%, 1.5 wt% and 2.0 wt% of both nano-barium sulfate and micro-limestone were prepared and compared to the base OPC. The hydration characteristics were evaluated by the measure of combined water content, bulk density, total porosity and compressive strength for samples hydrated up to 90 days. The progress of hydration reactions was followed up by XRD analysis. The morphology and microstructure were studied by SEM. Nano-size barium sulfate acted as a nucleating agent and enhanced the hydration of cement pastes up to 2.0% mass content. Also, the microstructure was improved considerably. Accordingly, nano-size barium sulfate can be used successfully in the preparation of filled cement.

关键词： Nano-Barium Sulfate Cement Paste Filler Compressive Strength Microstructure

IoT-Cloud Assisted Botnet Detection Using Rat Swarm Optimizer with Deep Learning

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Computers, Materials & Continua 2023年第2期74卷 3085-3100页

作者： Saeed masoud Alshahrani Fatma S.Alrayes Hamed Alqahtani Jaber S.Alzahrani Mohammed Maray Sana Alazwari mohamed A.Shamseldin Mesfer Al Duhayyim Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial IntelligenceUnit of CybersecurityKing Khalid UniversityAbhaSaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif21944Saudi Arabia Department of Mechanical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Nowadays,Internet of Things(IoT)has penetrated all facets of human life while on the other hand,IoT devices are heavily prone to *** has become important to develop an accurate system that can detect malicious attacks on IoT environments in order to mitigate security *** is one of the dreadfulmalicious entities that has affected many users for the past few *** is challenging to recognize Botnet since it has excellent carrying and hidden *** approaches have been employed to identify the source of Botnet at earlier *** Learning(ML)and Deep Learning(DL)techniques are developed based on heavy influence from Botnet detection *** spite of this,it is still a challenging task to detect Botnet at early stages due to low number of features accessible from Botnet *** current study devises IoT with Cloud Assisted Botnet Detection and Classification utilizingRat SwarmOptimizer with Deep Learning(BDC-RSODL)*** presented BDC-RSODL model includes a series of processes like pre-processing,feature subset selection,classification,and parameter ***,the network data is pre-processed to make it compatible for further ***,RSO algorithm is exploited for effective selection of subset of ***,Long Short TermMemory(LSTM)algorithm is utilized for both identification and classification of ***,Sine Cosine Algorithm(SCA)is executed for fine-tuning the hyperparameters related to LSTM *** order to validate the promising 3086 CMC,2023,vol.74,no.2 performance of BDC-RSODL system,a comprehensive comparison analysis was *** obtained results confirmed the supremacy of BDCRSODL model over recent approaches.

关键词： Internet of things cloud computing long short termmemory deep learning sine cosine algorithm feature selection

Energy Aware Secure Cyber-Physical Systems with Clustered Wireless Sensor Networks

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Computers, Materials & Continua 2022年第9期72卷 5499-5513页

作者： masoud Alajmi mohamed K.Nour Siwar Ben Haj Hassine Mimouna Abdullah Alkhonaini Manar Ahmed Hamza Ishfaq Yaseen Abu Sarwar Zamani Mohammed Rizwanullah Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Recently,cyber physical system(CPS)has gained significant attention which mainly depends upon an effective collaboration with computation and physical *** greatly interrelated and united characteristics of CPS resulting in the development of cyber physical energy systems(CPES).At the same time,the rising ubiquity of wireless sensor networks(WSN)in several application areas makes it a vital part of the design of *** security and energy efficiency are the major challenging issues in CPES,this study offers an energy aware secure cyber physical systems with clustered wireless sensor networks using metaheuristic algorithms(EASCPSMA).The presented EASCPS-MA technique intends to attain lower energy utilization via clustering and security using intrusion *** EASCPSMA technique encompasses two main stages namely improved fruit fly optimization algorithm(IFFOA)based clustering and optimal deep stacked autoencoder(OSAE)based intrusion ***,the optimal selection of stacked autoencoder(SAE)parameters takes place using root mean square propagation(RMSProp)*** extensive performance validation of the EASCPS-MA technique takes place and the results are inspected under varying *** simulation results reported the improved effectiveness of the EASCPS-MA technique over other recent approaches interms of several measures.

关键词： Intrusion detection system metaheuristics stacked autoencoder deep learning cyber physical energy systems clustering wsn

Investigations of Ion Confinement by Direct Current Coaxial Glow Discharge

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Journal of Modern Physics 2012年第1期3卷 48-56页

作者： Alaa Abu-Hashem mohamed Ali Hassouba mohamed Mahmoud masoud 不详

A cylindrical dc coaxial glow discharge system with inner grid cathode was designed for ion confinement, and success- fully operated with low discharge current. The plasma is formed inside the cylindrical grid cathode. The discharge cur- rentvoltage characteristic curves and Paschen curve are obtained at different gas pressures. Langmuir probes are used to determine the electron temperature and the plasma density. The electron energy distribution functions indicated that, two groups of electrons, appear in radial interval from r = 12 mm up to r = 5 mm. One group of electrons with most probable energy around 1 eV appeared from r = 5 mm up to r = 0. The electron temperature Te is increased with increasing the current and also with moving from the center toward the grid cathode. Poisson’s equation is used to calculate the plasma density at different radial positions. The plasma density measured by the single probe is around 1015 m-3. A comparison is obtained between calculated plasma density and that measured by Langmuir probes. Experimental and calculated results have the same profile.

关键词： Inertial Electrostatic Confinement Virtual Anode Coaxial Glow Discharge