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浙江省花岗岩交代变质过程中一些矿物的作用(英文)

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地质与资源 2004年第1期13卷 1-5,F003,F004页

作者： moustafa el omella 唐春安 A.A.Saleh M.M.Seleman 东北大学资源与土木工程学院辽宁沈阳110004

对浙江省内花岗质岩石样品薄片在偏光显微镜下鉴定,试图建立矿物学与微构造之间的联系,确定裂隙分布矿物学控制因素,并调查微裂隙与交代变质蚀变之间的关系.薄片显示花岗质岩石主要由斜长石、钾长石、石英和云母组成.其中长石和云母解... 详细信息

对浙江省内花岗质岩石样品薄片在偏光显微镜下鉴定,试图建立矿物学与微构造之间的联系,确定裂隙分布矿物学控制因素,并调查微裂隙与交代变质蚀变之间的关系.薄片显示花岗质岩石主要由斜长石、钾长石、石英和云母组成.其中长石和云母解理发育,在结构上更易于变形,而石英则表现为均质特征,其中的裂隙比其他矿物(长石、云母)中更发育.这些解理和裂隙接纳流体进入并造成交代变质.在此过程中,黑云母被白云母交代而形成石英并释放出钾,这些钾进而交代斜长石而形成钾长石.值得关注的是,一些矿物颗粒边界显现出很少的变形,如钾长石-斜长石边界和石英-石英边界呈现较低程度的颗粒间碎裂,并变得可能比以前更坚硬,这是因为重结晶作用和交代作用胶结了以前的碎裂结构.最后,变形作用影响到整个岩石,为流体通过岩石打开通道,进一步的微裂隙对大规模钾交代变质作用的发生至关重要.研究区内花岗岩的矿物学及裂隙特征表明,交代作用可以作为可靠的构造标志,用以恢复浙江花岗岩现代和古裂隙的几何特征.

关键词：花岗岩矿物学交代变质蚀变流体

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浙江花岗岩的工程岩石学研究(英文)

地质与资源 2005年第3期14卷 176-180页

作者： moustafa el omella1 C.A.Tang T.Xu 东北大学岩石破裂诱发地震研究中心

对浙江省花岗岩的岩相学特征及力学性质进行了研究以确定它们之间的关系.矿物学研究显示出花岗岩的交代蚀变特征,这可以反映在岩石的力学性质上.岩石材料的物理性质决定其工程学性质,在相关定量参数确定的情况下,可以预测岩石材料的工... 详细信息

对浙江省花岗岩的岩相学特征及力学性质进行了研究以确定它们之间的关系.矿物学研究显示出花岗岩的交代蚀变特征,这可以反映在岩石的力学性质上.岩石材料的物理性质决定其工程学性质,在相关定量参数确定的情况下,可以预测岩石材料的工程学性质.镜下观察、硬度、密度、孔隙度及点负荷强度均可作为所研究花岗岩的定量参数.上述每个因素都可提供岩石工程学的可靠预测.岩石的物理性质受岩石成分及蚀变状态控制,而岩石的工程学性质和力学特征是其物理性质的函数.

关键词：花岗岩工程岩石学岩相学蚀变矿物浙江省

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辽宁排山楼金矿围岩的岩石学特征(英文)

地质与资源 2004年第2期13卷 85-95页

作者： Malogo J. M. Kongola 王恩德于明旭 moustafa el omella 东北大学资源与土木工程学院辽宁沈阳110004

Standard laboratory procedures and remote sensing techniques were employed in the characterization of gold bearing rocks of the Paishanlou area. Results indicate that, the rocks were formed in an alteration complex of medium temperature and pressure. The area was under intense polymetamorphism (ductile shearing, and hydrothermal metamorphism), which occurred along the deformation zone stretching from Jinzhou to Fuxin. The area bears some propylitic, phyllic (or sericitic) and argillic alteration styles. Gold minerals are contained in fine grained pyrite in silicified zones, and associated with metamorphosed Precambrian rocks. The host rock is composed of gneiss, mylonite and trondhjemite granite, and has a distinctive gold lead geochemical affinity.

关键词： gold host rocks tectonic movements ductile shearing alteration mineralization

Ibuprofen-Induced Toxic Epidermal Necrolysis:A Case Report

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International Journal of Dermatology and Venereology 2024年第2期7卷 108-110页

作者： Nevin Kannappilly Mohamed Z.Peediyakkal Mohamad Y.Khatib Dore C.Ananthegowda moustafa S.elshafei Hani el Zeer Karimulla S.Shaik Moayad M.AlFayoumi Dyaneshwar P.Mutkule Ahmed A.Soliman Abdulqadir J.Nashwan Critical Care Department Hamad Medical Corporation(HMC)Doha 3050Qatar

Introduction:Toxic epidermal necrolysis(TEN)is a medical emergency that most commonly occurs as an adverse effect of certain ***,we describe a case of a 41-year-old man with no comorbid illness who developed *** presentation:The patient had been prescribed ibuprofen for myalgia and developed skin lesions after the single *** lesions were erythematous papules and macules distributed all over the body after ibuprofen *** was diagnosed based on the patient’s clinical presentation and laboratory *** was treated with intravenous dexamethasone,intravenous immunoglobulin,and *** dressing changes and skin care was done with saline,chlorhexidine,and liquid *** patient was intubated and tracheostomized,and he gradually improved and ***,he developed septicemia in the intensive care unit and was treated ***:The management of TEN includes cessation of the causative cause,multidisciplinary intensive care unit(ICU)care,prevention and early detection of sepsis,fluid and electrolyte balance,adequate analgesia and temperature control,proper organ support,aggressive nutritional management,and good psychological *** pharmacological therapy for TEN includes corticosteroids,intravenous immunoglobulin,and *** key elements of management are aseptic care and proper dressing of the ***:TEN is associated with high mortality if not managed in a systemic and protocolized way.

关键词： ibuprofen toxic epidermal necrolysis erythema drug-induced erythema

Planning Target Volume Margin in Linac-Based Stereotactic Radiosurgery for Brain Metastases

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Journal of Cancer Therapy 2024年第7期15卷 265-272页

作者： Hany S. Attallah Radwa M. Hamed Khaled M. el-Shahat Aliaa Mahmoud Mahmoud Abdallah Ibraheem Haggag Emad moustafa Adel Yassin Department of Radiation Oncology International Medical Center (IMC) Cairo Egypt Department of Radiation Oncology Armed Forces Medical Collogue (AFCM) Cairo Egypt Department of Medical Physics Al Azhar University Cairo Egypt Department of Medical Physics International Medical Center (IMC) Cairo Egypt Department of Medical Physics Department of Clinical Oncology Faculty of Medicine Zagazig University Zagazig Egypt

Background: The treatment of brain metastases with radiotherapy has shifted to the use of Stereotactic Radio-surgery (SRS). The technical issue of expanding the treatment volume around the Gross Tumor Volume (GTV) is a current debate. Radiotherapy centers use variable GTV-PTV margins, ranging from one to 2 mm. Material and Methods: We performed a dosimetric comparison in plans of twenty patients using three margins: PTV zero, PTV1, and PTV2. We also developed imaginary Peel volumes. These volumes are described as follows: Peel1 = PTV1 − GTV, Peel2 = PTV2 − GTV. Results: Our results showed that the mean PTV volume differed significantly across the different margins (p = 0.000). The V12 of the brain significantly varied as a function of PTV margin (p = 0.000). The target coverage and plan quality indices were not significantly different. The Peel volume dosimetric analysis showed that the mean dose was significantly higher in the nearby normal brain tissue: Peel1 (p = 0.022) and Peel 2 (p = 0.013). Conclusion: According to our dosimetric analysis, expanding the GTV into a PTV by 1 mm margin is more convenient than 2 mm.

关键词： SRS Brain Metastases PTV

Deterministic and Stochastic Fractional Order Model for Lesser Date Moth

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Computer Systems Science & Engineering 2022年第2期40卷 749-764页

作者： moustafa el-shahed Asmaa M.Al-Dububan Department of Mathematics Unaizah College of Sciences and ArtsQassim UniversityP.O.Box 3771Unaizah51911Saudi Arabia Department of Mathematics Buraydah College of Sciences and ArtsQassim UniversityP.O.Box 1162Buraydah51431Saudi Arabia

In this paper,a deterministic and stochastic fractional order model for lesser date moth(LDM)using mating disruption and natural enemies is proposed and *** interaction between LDM larvae,fertilized LDM female,unfertilized LDM female,LDM male and the natural enemy is *** order to clarify the characteristics of the proposed deterministic fractional order model,the analysis of existence,uniqueness,non-negativity and boundedness of the solutions of the proposed fractional-order model are *** addition,some sufficient conditions are obtained to ensure the local and global stability of equilibrium *** occurrence of local bifurcation near the equilibrium points is investigated with the help of Sotomayor’s *** simulations are conducted to illustrate the properties of the proposed fractional order model with respect to the intrinsic growth rate of the LDM larvae,natural enemy’s mortality rate,predation rate,sex pheromone trap parameter,fractional order and environmental *** impact of mating disruption on lesser date moth is ***,a numerical approximation method is developed for the proposed stochastic fractional-order model.

关键词： Lesser date moth stochastic stability natural enemies Sotomayor’s theorem mating disruption

Deterministic and Stochastic Fractional-Order Hastings-Powell Food Chain Model

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Computers, Materials & Continua 2022年第2期70卷 2277-2296页

作者： moustafa el-Shahed Asmaa M.Al-Dububan Department of Mathematics Unaizah College of Sciences and ArtsQassim UniversityUnaizah51911Saudi Arabia Department of Mathematics Buraydah College of Sciences and ArtsQassim UniversityBuraydah51431Saudi Arabia

In this paper,a deterministic and stochastic fractional-order model of the tri-trophic food chain model incorporating harvesting is proposed and *** interaction between prey,middle predator and top predator population is *** order to clarify the characteristics of the proposed model,the analysis of existence,uniqueness,non-negativity and boundedness of the solutions of the proposed model are *** sufficient conditions that ensure the local and global stability of equilibrium points are *** using stability analysis of the fractional-order system,it is proved that if the basic reproduction number R_(0)elp of Sotomayor’s *** numerical examples are given to illustrate the theoretical *** impact of harvesting on prey and themiddle predator is *** conclude that harvesting parameters can control the dynamics of the middle predator.A numerical approximation method is developed for the proposed stochastic fractional-order model.

关键词： Food chain model global dynamics stability stochastic Hastings-Powell model harvesting

Real-Time Multi-Class Infection Classification for Respiratory Diseases

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Computers, Materials & Continua 2022年第11期73卷 4157-4177页

作者： Ahmed el.Shafee Walid el-Shafai Abdulaziz Alarifi Mohammed Amoon Aman Singh moustafa H.Aly Department of electrical Engineering Faculty of EngineeringAhram Canadian UniversityGizaEgypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoSantander39011Spain electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

Real-time disease prediction has emerged as the main focus of study in the field of computerized *** disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable,consistent,and timely,successfully lowering mortality rates,particularly during endemics and *** prevent this pandemic’s rapid and widespread,it is vital to quickly identify,confine,and treat affected *** need for auxiliary computer-aided diagnostic(CAD)systems has *** recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 *** advanced convolutional neural network(CNN)architectures in conjunction with radiological imaging makes it possible to provide rapid,accurate,and extremely useful susceptible *** research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona *** purpose of this study is to offer a two-way COVID-19(2WCD)diagnosis prediction deep learning system that is built on Transfer Learning Methodologies(TLM)and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures.2WCD has applied modifications to pre-trained models for better *** is designed and implemented to improve the generalization ability of the classifier for binary and multi-class *** with the ability to differentiate COVID-19 and No-Patient in the binary class model and COVID-19,No-Patient,and Pneumonia in the multi-class model,our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient’s lung in a recognizable color *** proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic *** can also be used to forecast other lung-related *** the system can assist medical practitioner

关键词： COVID-19 real-time computerized disease prediction intelligent disease identification framework CAD systems X-rays CT-scans CNN real-time detection of COVID-19 infections

Hybrid Single Image Super-Resolution Algorithm for Medical Images

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Computers, Materials & Continua 2022年第9期72卷 4879-4896页

作者： Walid el-Shafai Ehab Mahmoud Mohamed Medien Zeghid Anas MAli moustafa H.Aly Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia electrical Engineering Department Aswan UniversityAswan81542Egypt electronics and Micro-electronics Laboratory(E.μ.E.L) Faculty of SciencesUniversity of MonastirMonastir5000Tunisia Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

High-quality medical microscopic images used for diseases detection are expensive and difficult to ***,low-resolution images are favorable due to their low storage space and ease of sharing,where the images can be enlarged when needed using Super-Resolution(SR)***,it is important to maintain the shape and size of the medical images while enlarging *** of the problems facing SR is that the performance of medical image diagnosis is very poor due to the deterioration of the reconstructed image ***,this paper suggests a multi-SR and classification framework based on Generative Adversarial Network(GAN)to generate high-resolution images with higher quality and finer details to reduce *** proposed framework comprises five GAN models:Enhanced SR Generative Adversarial Networks(ESRGAN),Enhanced deep SR GAN(EDSRGAN),Sub-Pixel-GAN,SRGAN,and Efficient Wider Activation-B GAN(WDSR-b-GAN).To train the proposed models,we have employed images from the famous BreakHis dataset and enlarged them by 4×and 16×upscale factors with the ground truth of the size of 256×256×***,several evaluation metrics like Peak Signal-to-Noise Ratio(PSNR),Mean Squared Error(MSE),Structural Similarity Index(SSIM),Multiscale Structural Similarity Index(MS-SSIM),and histogram are applied to make comprehensive and objective comparisons to determine the best methods in terms of efficiency,training time,and storage *** obtained results reveal the superiority of the proposed models over traditional and benchmark models in terms of color and texture restoration and detection by achieving an accuracy of 99.7433%.

关键词： GAN medical images SSIM MS-SSIM PSNR SISR