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Genetic Analysis of Familial Mediterranean Fever among Egyptian Patients

Open Journal of Immunology 2022年第4期12卷 137-147页

作者： Marwa A. Besar Adel Abd el Salam Asmaa F. Enein Samar Tharwat Radwan Fatma Hamdy Fouad abeer saad ali el zekred Nehed Abdallah Hassan Internal Medicine (Rheumatology & Immunology) Mansoura School of Medicine Mansoura University Al Mansoura Egypt Department of Biochemistry Specialized Medical Hospital Specialised Medical Hospital Mansoura Egypt Specialised Medical Hospital Mansoura Egypt

Background: Familial Mediterranean fever (FMF) is an autoinflammatory genetic disorder that associated with different genetic mutations. Frequency of clinical manifestation differs according to age group, geographic region and ethnic population. Objectives: To study the clinical manifestation of FMF in relation to genotype (M680I, M694V, M694I and V726A). Result: The main presentation of studied group was abdominal pain 65.9% (203), followed by fever 60.4% (186) patients. (Mutation M694V) was the commonest 47.6% (297), followed by (Mutation V726A) in 32.8% (169%), then (Mutation M6802) in 23.4% (121) lastly (Mutation M6941) was in 22.1% (114) patients. Fever was highly associated with mutation (V729A) and it was statistically significant (*p value 0.047). Conclusion: Abdominal pain and fever were the most common manifestation of FMF patients. (Mutation M694V), (Mutation V726A) were the most detected mutation. Third age group;fever was associated with genetic mutation (V726A), abdominal pain with (M6941).

关键词： Familial Mediterranean Fever (FMF) MEFV Gene Mutation (M680I M694V M694I and V726A) Fever Abdominal Pain Autoinflammatory

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Hyperspectral Images-Based Crop Classification Scheme for Agricultural Remote Sensing

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Computer Systems Science & Engineering 2023年第7期46卷 303-319页

作者： Imran ali Zohaib Mushtaq saad Arif abeer D.Algarni Naglaa F.Soliman Walid el-Shafai Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei City106335TaiwanChina Department of electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Mechanical Engineering HITEC University TaxilaTaxila Cantt.47080Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia

Hyperspectral imaging is gaining a significant role in agricultural remote sensing *** data unit is the hyperspectral cube which holds spatial information in two dimensions while spectral band information of each pixel in the third *** classification accuracy of hyperspectral images(HSI)increases significantly by employing both spatial and spectral *** this work,the data was acquired using an airborne hyperspectral imager system which collected HSI in the visible and near-infrared(VNIR)range of 400 to 1000 nm wavelength within 180 spectral *** dataset is collected for nine different crops on agricultural land with a spectral resolution of 3.3 nm wavelength for each *** data was cleaned from geometric distortions and stored with the class labels and annotations of global localization using the inertial navigation *** this study,a unique pixel-based approach was designed to improve the crops'classification accuracy by using the edge-preserving features(EPF)and principal component analysis(PCA)in *** preliminary processing generated the high-dimensional EPF stack by applying the edge-preserving filters on acquired *** the second step,this high dimensional stack was treated with the PCA for dimensionality reduction without losing significant spectral *** resultant feature space(PCA-EPF)demonstrated enhanced class separability for improved crop classification with reduced dimensionality and computational *** support vector machines classifier was employed for multiclass classification of target crops using *** classification performance evaluation was measured in terms of individual class accuracy,overall accuracy,average accuracy,and Cohen kappa *** proposed scheme achieved greater than 90%results for all the performance evaluation *** PCA-EPF proved to be an effective attribute for crop classification using hyperspectral imaging in the VNIR *** proposed scheme

关键词： Hyperspectral imaging visible and near-infrared edge preserving feature dimensionality reduction crop classification

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Equivalence of String Classical and Quantum Energy beside Equivalence of Wave Packet and Relativistic Velocity in Eucleadian and Curved Space

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Natural Science 2020年第7期12卷 520-525页

作者： Mashair Ahmed Mohammed Yousif abeer Mohammed Khairy Ahmed Zainab Mustapha Kurawa Omer A. M. elnor Mubarak Dirar Abd-Alla Yagoub Ibrahim Mohammed elfaki el-Tahir Mohammed Idriss Ahmed Zoalnoon Ahmed Abeid Allah saad Department of Physics Faculty of Science and Education at Alkurma Taif University Alkhurma Kingdom of Saudi Arabia Department of Physics Faculty of Art and Science at Al Muznab Al Qassim University Al Muznab Kingdom of Saudi Arabia Department of Physics School of Science Education Saadatu Rimi College of Education Kumbotso Nigeria Department of Physics Faculty of Science University of Bakhtalruda Ed Dueim Sudan Department of Physics Faculty of Science Sudan University of Science and Technology Khartoum Sudan Department of Natural and Applied Sciences College of Science and Humanities at Afif Sharga University Afif Kingdom of Saudi Arabia College of Arts and Sciences King Khalid University Dhahran Saudi Arabia

Plank quantum and classical string energy relations seem to be uncorrelated. This work correlated them. The relativistic energy-momentum relation has been used together with plank and de Brogglie hypothesis to prove that the wave group velocity is equal to the particle velocity in both ordinary and curved space. The plank energy relation is shown also to be related to the classical energy relation of an oscillating string. Starting from plank energy relation for n photons and performing integration, the expression of classical string energy was obtained. This means that one can treat electromagnetic waves as a collection of continuous photons having frequencies ranging from zero to w. Conversely, starting from classical string energy relation by differentiating it with respect to angular frequency, the plank quantum energy for n photons has been found. This means that the quanta results from separation of electromagnetic waves to single isolated waves. Each wave consists of n photons or quanta.

关键词： Plank Energy Classical Energy String Quanta Photons electromagnetic Waves Curved Space Group Velocity Wave Packet

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