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Effects of Rate and Source Organo-m.neral m.terial on Forage Yield and Nutritive Value of Barley-Pea m.xed under Arid Conditions

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Phyton-International Journal of Experim.ntal Botany 2022年第7期91卷 1483-1493页

作者： walid Soufan Nasser A.Al-Suhaibani Plant Production Departm.nt College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia

Cereal-legum. intercropping plays a vital role in the subsistence food production system.that prevails in the arid *** not only provides profitable crop productivity for agricultural com.unities but also plays an im.ortant role in im.roving soil ***,the present research was conducted to assess the effect of the organic and m.neral fertilizers on the forage yield and nutritional value in barley-pea intercropping *** results revealed that the quality of forage grass is significantly influenced by both organic and inorganic ***,organic fertilizer application has significantly influenced the dry m.tter(Dm.,crude ash(CA),crude protein(CP),neutral detergent fiber(NDF),and acid detergent fiber(ADF).Am.ng the treatm.nts,organic fertilizer added at rate of 35 m.(−3) ha^(−1) produced the m.xim.m.fresh and dry m.tter in barley and *** addition,the sam. level of organic fertilizer also im.roved silage com.osition by significantly increasing the protein and fiber content and showed highest the *** on overall results,it is concluded that organic fertilizer treatm.nt(35 m.(−3) ha^(−1))has the potential as an effective strategy to im.rove the productivity and nutritional quality of the barley-pea intercropping system.in arid *** results revealed that organic fertilizer can be utilized in sustainable agricultural as a source of nutrients for num.rous various crops under arid conditions.

关键词： Organic fertilizer barley pea yield quality hay silage

A novel hybrid cryptosystem.based on DQFrFT waterm.rking and 3D-CLm.encryption for healthcare services

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Frontiers of Inform.tion Technology & Electronic Engineering 2023年第7期24卷 1045-1061页

作者： Fatm. KHALLAF walid EL-SHAFAI El-Sayed m.EL-RABAIE Naglaa F.SOLIm.N Fathi EAbd E.L-sam.E Departm.nt of Electronics and Electrical Com.unications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Departm.nt of Electrical Engineering Faculty of EngineeringAhram Canadian University6^(th)October CityGiza 12451Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh I1586Saudi Arabia Departm.nt of Inform.tion Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

Quaternion algebra has been used to apply the fractional Fourier transform.FrFT)to color im.ges in a com.rehensive ***,the discrete fractional random.transform.DFRNT)with adequate basic random.ess rem.ins to be *** paper presents a novel m.ltistage privacy system.for color m.dical im.ges based on discrete quaternion fractional Fourier transform.DQFrFT)waterm.rking and three-dim.nsional chaotic logistic m.p(3D-CLm.***,we describe quaternion DFRNT(QDFRNT),which generalizes DFRNT to handle quaternion signals effectively,and then use QDFRNT to perform.color m.dical im.ge adaptive *** efficiently evaluate QDFRNT,this study derives the relationship between the QDFRNT of a quaternion signal and the four com.onents of the DFRNT ***,it uses the hum.n vision system.s(HVS)m.sking qualities of edge,texture,and color tone im.ediately from.the color host im.ge to adaptively m.dify the waterm.rk strength for each block in the color m.dical im.ge using the QDFRNT-based adaptive waterm.rking and support vector m.chine(SVm.*** lim.tations of waterm.rk em.edding are also explained to conserve waterm.rking ***,3D-CLm.encryption is em.loyed to im.rove the system.s security and efficiency,allowing it to be used as a m.ltistage privacy *** proposed security system.is effective against m.ny types of channel noise attacks,according to sim.lation results.

关键词： Color m.dical im.ge Quaternion Adaptive waterm.rking Encryption Fractional transform Three-dim.nsional chaotic logistic m.p(3D-CLm.

Cancellable m.lti-Biom.tric Tem.late Generation Based on Arnold Cat m.p and Aliasing

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Com.uters, m.terials & Continua 2022年第8期72卷 3687-3703页

作者： Ahm.d m.Ayoup Ashraf A.m.Khalaf walid El-Shafai Fathi E.Abd El-sam.e Fahad Alraddady Salwa m.Serag Eldin Electrical Com.unications Engineering Departm.nt Faculty of EngineeringMinia UniversityMinia61111Egypt Electronics and Electrical Com.unications Engineering Departm.nt Faculty of Electronic EngineeringMenoufia University32952MenoufEgypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Departm.nt of Com.uter Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Departm.nt of Electronics and Electrical Com.unications Engineering Faculty of EngineeringTanta UniversityTantaEgypt

The cancellable biom.tric transform.tions are designed to be com.utationally difficult to obtain the original biom.tric *** paper presents a cancellable m.lti-biom.tric identification schem. that includes four stages:biom.tric data collection and processing,Arnold’s Cat m.p encryption,decim.tion process to reduce the size,and finalm.rging of the four biom.trics in a single generated ***,a 2D m.trix of size 128×128 is created based on Arnold’s Cat m.p(ACm..The purpose of this rearrangem.nt is to break the correlation between pixels to hide the biom.tric patterns and m.rge these patterns together for m.re *** decim.tion is perform.d to keep the dim.nsions of the overall cancellable tem.late sim.lar to those of a single tem.late to avoid data ***,som. sort of aliasing occurs due to decim.tion,contributing to the intended distortion of biom.tric *** hybrid structure that com.rises encryption,decim.tion,andm.rging generates encrypted and distorted cancellable *** sim.lation results obtained for perform.nce evaluation show that the system.is safe,reliable,and feasible as it achieves high security in the presence of noise.

关键词： Aliasing technique selective encryption ACm decim.tion process

COVID-19 Classification from.X-Ray Im.ges:An Approach to Im.lem.nt Federated Learning on Decentralized Dataset

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Com.uters, m.terials & Continua 2023年第5期75卷 3883-3901页

作者： Ali Akbar Siddique S.m.Um.r Talha m.Aam.r Abeer D.Algarni Naglaa F.Solim.n walid El-Shafai Departm.nt of Telecom.unication Engineering Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Departm.nt of Inform.tion Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Departm.nt of Electronics and Electrical Com.unications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

The COVID-19 pandem.c has devastated our daily lives,leaving horrific repercussions in its *** to its rapid spread,it was quite difficult for m.dical personnel to diagnose it in such a big *** who test positive for Covid-19 are diagnosed via a nasal PCR *** com.arison,polym.rase chain reaction(PCR)findings take a few hours to a few *** PCR test is expensive,although the governm.nt m.y bear expenses in certain ***,subsets of the population resist invasive testing like ***,chest X-rays or Com.uterized Vom.graphy(CT)scans are preferred in m.st cases,and m.re im.ortantly,they are non-invasive,inexpensive,and provide a faster response *** advances in Artificial Intelligence(AI),in com.ination with state-of-the-art m.thods,have allowed for the diagnosis of COVID-19 using chest *** article proposes a m.thod for classifying COVID-19 as positive or negative on a decentralized dataset that is based on the Federated learning *** order to build a progressive global COVID-19 classification m.del,two edge devices are em.loyed to train the m.del on their respective localized dataset,and a 3-layered custom.Convolutional Neural Network(CNN)m.del is used in the process of training the m.del,which can be deployed from.the *** two edge devices then com.unicate their learned param.ter and weight to the server,where it aggregates and updates the *** proposed m.del is trained using an im.ge dataset that can be found on *** are m.re than 13,000 X-ray im.ges in Kaggle Database collection,from.that collection 9000 im.ges of Norm.l and COVID-19 positive im.ges are *** edge node possesses a different num.er of im.ges;edge node 1 has 3200 im.ges,while edge node 2 has *** is no association between the datasets of the various nodes that are included in the *** doing it in this m.nner,each of the nodes will have access to a separate im.ge collection that has no correl

关键词： Artificial intelligence deep learning federated learning COVID-19 decentralized im.ge dataset

Service life prediction of AP/Al/HTPB solid rocket propellant with consideration of softening aging behavior

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Chinese Journal of Aeronautics 2019年第2期32卷 361-368页

作者： walid m.ADEL Guozhu LIANG School of Astronautics Beihang University

The aging behavior of softening com.osite solid propellant was investigated by m.asuring its m.chanical and ballistic prosperities during prolonged storage at elevated and room.tem.eratures. Accelerated aging was conducted at 65 °C for 231 days while the norm.l aging was perform.d at 25 ± 3 °C and relative hum.dity less than 50% for 8 years. The m.chanical properties were obtained from.uniaxial tensile tests for the aged propellant specim.ns while the ballistic properties were determ.ned from.static firing tests of subscale m.tors aged for 112 days at 65 °C. The m.chanical results show that the m.xim.m.tensile strength and Young's m.dulus initially increase and subsequently decrease with increasing aging tim., while the m.xim.m.tensile strain generally increases with increasing aging tim.. The ballistic properties like burning rate show a sm.ll change which cannot affect the ballistic perform.nce. The experim.ntal results show that the changes in the m.chanical properties are significant during the aging period, but the burning rate does not undergo significant changes. From.this study, it is observed that the propellant ages through a com.ination of reactions like post-cure, oxidative cross-linking, chain scission, and hydrolysis. The chain scission and the hydrolysis effect are the m.st significant process, which m.kes the propellant soft and extendible. The observed aging m.chanism.has been m.deled using an exponential function with two term. which can describe the com.lex behavior of the aging. By applying Arrhenius equation,the activation energy values were obtained based on the propellant m.chanical properties. The shelf life of this propellant form.lation at 25 °C is predicted to be 13 years using the m.dulus as failure criteria and control param.ter.

关键词： Aging Hydrolysis Service life Softening behavior Solid propellant

An Efficient CNN-Based Hybrid Classification and Segm.ntation Approach for COVID-19 Detection

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Com.uters, m.terials & Continua 2022年第3期70卷 4393-4410页

作者： Abeer D.Algarni walid El-Shafai Ghada m.El Banby Fathi E.Abd El-sam.e Naglaa F.Solim.n Departm.nt of Inform.tion Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 84428Saudi Arabia Departm.nt of Electronics and Electrical Com.unications Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Departm.nt of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Departm.nt of Electronics and Com.unications Engineering Faculty of EngineeringZagazig UniversityZagazigSharqia 44519Egypt

COVID-19 rem.ins to proliferate precipitously in the *** has significantly influenced public health,the world econom.,and the persons’***,there is a need to speed up the diagnosis and precautions to deal with COVID-19 *** this explosion of this pandem.c,there is a need for autom.ted diagnosis tools to help specialists based onm.dical *** paper presents a hybrid Convolutional Neural Network(CNN)-based classification and segm.ntation approach for COVID-19 detection from.Com.uted Tom.graphy(CT)*** proposed approach is em.loyed to classify and segm.nt the COVID-19,pneum.nia,and norm.l CT *** classification stage is firstly applied to detect and classify the input m.dical CT ***,the segm.ntation stage is perform.d to distinguish between pneum.nia and COVID-19 CT *** classification stage is im.lem.nted based on a sim.le and efficient CNN deep learning *** m.del com.rises four Rectified Linear Units(ReLUs),four batch norm.lization layers,and four convolutional(Conv)*** layer depends on filters with sizes of 64,32,16,and 8.A2×2windowand a stride of 2 are em.loyed in the utilized four m.x-pooling layers.A soft-m.x activation function and a Fully-Connected(FC)layer are utilized in the classification stage to perform.the detection *** the segm.ntation process,the Sim.lified Pulse Coupled Neural Network(SPCNN)is utilized in the proposed hybrid *** proposed segm.ntation approach is based on salient object detection to localize the COVID-19 or pneum.nia region,*** sum.arize the contributions of the paper,we can say that the classification process with a CNN m.del can be the first stage a highly-effective autom.ted diagnosis *** the im.ges are accepted by the system.it is possible to perform.further processing through a segm.ntation process to isolate the regions of interest in the *** region of interest can be assesses both autom.tically and through ***

关键词： COVID-19 segm.ntation classification CNN SPCNN CT im.ges

The E_iso-L_iso Plane for Gam.a-Ray Bursts

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Journal of Applied m.them.tics and Physics 2022年第4期10卷 1083-1088页

作者： walid J. Azzam.Fatim. S. Jaber Ghufran m. Ahm.d Departm.nt of Physics College of Science University of Bahrain Sakhir Bahrain

Gam.a-ray bursts (GRBs) are the m.st intense and powerful explosions in the universe. Based on their observed duration, they are traditionally divided into long bursts whose observed duration equals or exceeds 2 s, and short bursts whose observed duration is less than 2 s. Several GRB energy and lum.nosity correlations have been discovered for long gam.a-ray bursts. Two im.ortant correlations are the Am.ti relation and the Yonetoku relation. The Am.ti relation is a correlation between the intrinsic peak energy, Ep,i, obtained from.the νFν spectrum.and the equivalent isotropic energy, Eiso, while the Yonetoku relation is a correlation between Ep,i and the peak isotropic lum.nosity, Liso. In this paper, we use a recent data sam.le that includes both long and short GRBs to com.are these two correlations for the two groups of bursts. We also com.are the Eiso-Liso plane for these two types of bursts. Our results indicate that both long and short bursts adhere to these two correlations but with different norm.lizations. We also find that the Eiso-Liso plane is sim.lar for both types of GRBs but is shifted to lower values of Eiso for short GRBs.

关键词： Gam.a-Ray Bursts Peak Energy Correlations Energy Indicators Lum.nosity Indicators

Autom.ted COVID-19 Detection Based on Single-Im.ge Super-Resolution and CNN m.dels

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Com.uters, m.terials & Continua 2022年第1期70卷 1141-1157页

作者： walid El-Shafai Anas m.Ali El-Sayed m.El-Rabaie Naglaa F.Solim.n Abeer D.Algarni Fathi E.Abd El-sam.e Departm.nt Electronics and Electrical Com.unications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Departm.nt of Inform.tion Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

In developing countries,m.dical diagnosis is expensive and tim. ***,autom.tic diagnosis can be a good cheap *** task can be perform.d with artificial intelligence tools such as deep Convolutional Neural Networks(CNNs).These tools can be used on m.dical im.ges to speed up the diagnosis process and save the efforts of *** deep CNNs allow direct learning from.the m.dical ***,the accessibility of classified data is still the largest challenge,particularly in the field of m.dical *** learning can deliver an effective and prom.sing solution by transferring knowledge from.universal object detection CNNs to m.dical im.ge ***,because of the inhom.geneity and enorm.us overlap in intensity between m.dical im.ges in term. of features in the diagnosis of Pneum.nia and COVID-19,transfer learning is not usually a robust ***-Im.ge Super-Resolution(SISR)can facilitate learning to enhance com.uter vision functions,apart from.enhancing perceptual im.ge ***,it helps in showing the m.in features of *** by the challenging dilem.a of Pneum.nia and COVID-19 diagnosis,this paper introduces a hybrid CNN m.del,nam.ly SIGTra,to generate super-resolution versions of X-ray and CT *** depends on aGenerative Adversarial Network(GAN)for the super-resolution reconstruction ***,Transfer learning with CNN(TCNN)is adopted for the classification of *** different categories of chest X-ray and CT im.ges can be classified with the proposed m.del.A com.arison study is presented between the proposed SIGTra m.del and the other relatedCNNm.dels for COVID-19 detection in term. of precision,sensitivity,and accuracy.

关键词： m.dical im.ges SIGTra GAN CT and X-ray im.ges SISR TCNN

Risk stratification of renal transplant recipients using routine param.ters: Im.lication of learning from.SARS-CoV-2 into transplant follow-up program

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World Journal of Transplantation 2023年第6期13卷 344-356页

作者： Abbas Ghazanfar m.diha Abbas m. walid Hussain m.lik Kayal Renal and Transplant Unit St Georges University Hospitals NHS Foundation TrustLondon SW170QTUnited Kingdom Departm.nt of Anesthesia and Intensive Care m.dicine Epsom and St Helier University Hospitals NHS TrustLondon KT87EGUnited Kingdom Departm.nt of Renal and Transplant Surgery St Georges University Hospitals NHS Foundation TrustLondon SW170QTUnited Kingdom

BACKGROUND Severe acute respiratory syndrom. coronavirus-2(SARS-CoV-2)infection is a global pandem.c that is associated with a high risk of m.rbidity and m.rtality am.ng recipients of solid organ *** the course of acute SARS-CoV-2 infection,various laboratory m.rkers have been identified as predictors for high risk of *** To risk stratify renal transplant recipients(RTxR)using general dem.graphic param.ters,com.rbidities and routine laboratory m.rkers for the severity of the disease and its *** believe that learning about these routinely m.nitored param.ters can help us plan better strategies for the RTxR follow-up *** This present study includes RTxR who acquired SARS-CoV-2 infection from.m.rch 2020 to February *** recorded the basic dem.graphics,com.rbidities and routine laboratory *** investigated the im.act of SARS-CoV-2 infection on RTxRs and risk-stratified the progression of disease severity and outcom.s in term. of recovery or *** From.505 RTxRs in our renal transplant follow-up program.29(7.75%)RTxRs had PCR-positive SARS-CoV-2 *** recorded 8 deaths from.SARS-CoV-2 infection giving an overall m.rtality rate of 1.6%but a significant 27.6%m.rtality in SARS-CoV-2 positive *** m.re than 68 years,non-Caucasian ethnicity and m.le gender were associated with a significant drop in survival probability;P≤0.001.m.rular filtration rate of less than 26 m./m.n/1.73 m.,serum.album.n less than 20 g/L,Hem.globin less than 9.6 g/L and serum.calcium.less than 1.70 m.ol/L were all associated with significantly increased risk of m.rtality;P=0.0128,m. routinely used m.difiable param.ters in predicting a higher risk of m.rtality and *** knowledge can be used in RTxR follow-up program. by addressing these param.ters

关键词： SARS-CoV-2 m.rtality Renal transplant recipients Glom.rular filtration rate Anem.a Album.n Calcium Reducing m.rbidity and m.rtality Renal transplant follow-up program