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Delayed Grafting as a Valid Technique in Burn Management: Experience from a Burn Unit in Oman

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Modern Plastic Surgery 2024年第1期14卷 9-14页

作者： Taif Alsafy Joe Jacob Anish Thadathil Elias ahmed Salah El Din Salim Mohammed Ghawas Majid Tariq Saud Albusaidi ahmed Al Jabri Al Anood Al Hadhrami Mutazz Obeid Al Khaldi Moath abdelhamid Shummo Karim Mohamed Haridi Aml Eid Saleh Said Al-Busaidi Department of Plastic and Reconstructive Surgery Sultan Qaboos Hospital Salalah Oman ENT Department Al Nahdha Hospital Muscat Oman Department of Plastic Reconstructive and Craniofacial Surgery Khoula Hospital Muscat Oman

Background: Early excision and grafting has been the preferred method of managing major burns around the world since 1970. Considering the advances in health care and the development of new antibiotics over the past 50 years, delayed grafting as a technique for the management of burns over 15%-20% of total body surface area (TBSA) could have comparable results to that of early excision. This study aims to highlight the outcomes of practicing delayed grafting in burn patients. Methods: A case series analysis was performed of 51 patients who were admitted to the burns unit in Sultan Qaboos Hospital Salalah with over 20% TBSA between January 2014 and December 2019. The patients received prophylactic antibiotics and silver sulphadiazine dressing until the burn eschar had completely separated, followed by grafting. Results: Two patients were lost during the entire duration of the study. The mortality rate was comparable to that of early excision, while the rate of hypertrophic scarring was lower than the range reported by other studies. Conclusion: In the management of patients with over 20% TBSA, delayed grafting after complete separation of eschar is still a valid technique.

关键词： Burns Burn Units Burn Management Delayed Grafting Major Burns Treatment Efficacy

Model variables identification of a gas turbine using a subspace approach based on input/output data measurements

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Control Theory and Technology 2021年第2期19卷 183-196页

作者： Hakim Bagua ahmed Hafaifa abdelhamid Iratni Mouloud Guemana Applied Automation and Industrial Diagnostics Laboratory Faculty of Science and TechnologyUniversity of Djelfa17000DjelfaAlgeria Gas Turbine Joint Research Team University of Djelfa17000DjelfaAlgeria Faculty of Science and Technology University of Bordj Bou Arreridj34000Bordj Bou ArreridjAlgeria

This paper deals with a state model identification of a gas turbine used for gas transport, using a subspace approach of the state space model. This method provides a reliable and robust state representation of the model, taking advantage of its benefits in the control, monitoring, and supervision of this machine. The model for each variable is set so that the state matrices associated with the gas turbine model are determined from their real input/output data. The comparison of the obtained identification results with those of the actual turbine operation serves to validate the proposed model in this work. This numerical algorithm of the subspace identification method is full of information and more accurate in terms of residual modeling error, and expresses a very high level of confidence in the identified turbine system dynamics. Hence, the controllability and observability tests of turbine operation for different input/output variables allowed to validate the real-time operating stability of the turbine.

关键词： System identification Subspace identification State space model Gas turbine N4SID algorithm

Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer

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International Journal of Automation and computing 2015年第1期12卷 93-101页

作者： Hamid Dahmani Mohammed Chadli abdelhamid Rabhi ahmed El Hajjaji University of Picardie Jules Verne-MIS Laboratory (EA4290) 33 rue Saint-Leu Amiens 80039 France

This article describes a method of vehicle dynamics estimation for impending rollover detection. We estimate vehicle dynamic states in presence of the road bank angle as a disturbance in the vehicle model using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate rollover detection, a new method is proposed to compute the time to rollover(TTR) using the load transfer ratio(LTR). The nonlinear model, deduced from the vehicle lateral and roll dynamics, is represented by a Takagi-Sugeno(T-S) fuzzy model. This representation is used to account for the nonlinearities of lateral cornering forces. The proposed T-S observer is designed with unmeasurable premise variables to cater for non-availability of the slip angles measurement. The proposed approach is evaluated using Car Sim simulator under different driving scenarios. Simulation results show good efficiency of the proposed T-S observer and the rollover detection method.

关键词： Vehicle rollover vehicle dynamics Takagi-Sugeno(T-S) fuzzy model observer uncertainties Lyapunov method linear matrix inequalities(LMI)

Decentralized Networked Control System Design Using Takagi-Sugeno(TS) Fuzzy Approach

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International Journal of Automation and computing 2015年第2期12卷 125-133页

作者： Chedia Latrach Mourad Kchaou abdelhamid Rabhi ahmed El Hajjaji Laboratory of Modelisation Information and SystemUniversity of Picardie Jules Verne Electrical Engineering Department National Engineering School of SfaxUniversity of Sfax

This paper proposes a new method for control of continuous large-scale systems where the measures and control functions are distributed on calculating members which can be shared with other applications and connected to digital network *** first, the nonlinear large-scale system is described by a Takagi-Sugeno(TS) fuzzy model. After that, by using a fuzzy LyapunovKrasovskii functional, sufficient conditions of asymptotic stability of the behavior of the decentralized networked control system(DNCS),are developed in terms of linear matrix inequalities(LMIs). Finally, to illustrate the proposed approach, a numerical example and simulation results are presented.

关键词： Continuous large-scale systems decentralized static output feedback fuzzy control networked control systems(NCS) Takagi-Sugeno(T

COVID-19 and liver diseases,what we know so far

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World Journal of Clinical Cases 2022年第13期10卷 3969-3980页

作者： Mohamed elnaggar ahmed Abomhya Ismail Elkhattib Nabila Dawoud Rajkumar Doshi Department of Internal Medicine University of Nevada Reno School of MedicineRenoNV 89052United States Department of Internal Medicine The Brooklyn Hospital CenterBrooklynNY 11200United States Department of Internal Medicine University of ConnecticutFarmingtonCT 06030United States Department of Internal Medicine University of KentuckyLexingtonKY 40508United States Department of Cardiology St Joseph's University Medical CenterPatersonNJ 07503United States

Coronavirus disease 2019(COVID-19)pneumonia outbreak started in December *** March 12,2020,the World Health Organization(WHO)declared that the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)constitutes a pandemic,and as of May 2021,SARS-CoV-2 has infected over 167.3 million patients,including 3.4 million deaths,reported to *** this review,we will focus on the relationship between SARS-CoV-2 infection and the *** will discuss how chronic liver diseases affect the COVID-19 disease course and *** will also discuss the SARS-CoV-2 effects on the liver,mechanisms of acute liver injury,and potential management plans.

关键词： COIVD-19 SARS-CoV-2 Liver diseases Transaminases Non alcoholic fatty liver Hepatocellular carcinoma

Thermal Behavior of Clay-Based Building Materials: A Numerical Study Using Microstructural Modeling

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Journal of Power and Energy Engineering 2022年第4期10卷 63-73页

作者： ahmed Lkouen Mohamed Lamrani ahmed Meskini abdelhamid Khabbazi LM2I ENSEM Hassan II University Casablanca Morocco LGCEM EST Sale Mohamed V University Rabat Morocco EMDD_CERNE2D EST Sale Mohammed V University Rabat Morocco

A large part of the energy savings in the building sector comes from the choice of materials used and their structures. We are interested, through a numerical study, in establishing the link between the thermal performance of composite materials and their microstructures. The work begins with the generation of a two-phase 3D composite structure, the application of the Random Sequential Addition (RSA) algorithm, and then the finite element method (FE) is used to evaluate, in steady-state, the effective thermal conductivity of these composites. The result of the effective thermal conductivity of composite building material based on clay and olive waste at a volume fraction of 10% obtained by simulation is 0.573 W·m?1·K?1, this result differs by 3.6% from the value measured experimentally using modern metrology methods. The calculated value is also compared to those of existing analytical models in the literature. It can be noticed also that the effective thermal conductivity is not only related to the volume fraction of the inclusions but also to other parameters such as the shape of the inclusions and their distribution. The small difference between the numerical and experimental thermal conductivity results shows the performance of the code used and its validation for random heterogeneous materials. The homogenization technique remains a reliable way of evaluating the effective thermal properties of clay-based building materials and exploring new composite material designs.

关键词： Effective Thermal Conductivity Finite Element Calculation Homogenization RSA Composite

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埃及经济转型期的会计改革及其借鉴

会计研究 2002年第7期 54-58页

作者：陈瑜 ahmed A.abdelhamid 厦门大学会计系 361005 埃及Assiut大学会计系

20世纪 90年代以来 ,埃及向市场经济迈进的经济改革不断深入 ,在经济转型时期 ,埃及的会计体制相应地也进行了重要的变革。本文通过对埃及会计改革的背景、动因的分析 ,阐述了埃及会计改革的主要内容及其现状 ,从中提出对我国经济转型... 详细信息

20世纪 90年代以来 ,埃及向市场经济迈进的经济改革不断深入 ,在经济转型时期 ,埃及的会计体制相应地也进行了重要的变革。本文通过对埃及会计改革的背景、动因的分析 ,阐述了埃及会计改革的主要内容及其现状 ,从中提出对我国经济转型期会计改革的启示和借鉴。

关键词：埃及经济转型期会计改革国有企业改革资本市场会计准则中国经验借鉴

Delayed Grafting as a Valid Technique in Burn Management: Experience from a Burn Unit in Oman

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Wind Power Prediction Based on Machine Learning and Deep Learning Models

Modern Plastic Surgery（现代整形外科） 2024年第1期

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Computers, Materials & Continua 2023年第1期74卷 715-732页

作者： Zahraa Tarek Mahmoud Y.Shams ahmed M.Elshewey El-Sayed M.El-kenawy Abdelhameed Ibrahim Abdelaziz A.abdelhamid Mohamed A.El-dosuky Faculty of Computers and Information Computer Science DepartmentMansoura UniversityMansoura35561Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt 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 Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Wind power is one of the sustainable ways to generate renewable *** recent years,some countries have set renewables to meet future energy needs,with the primary goal of reducing emissions and promoting sustainable growth,primarily the use of wind and solar *** achieve the prediction of wind power generation,several deep and machine learning models are constructed in this article as base *** regression models are Deep neural network(DNN),k-nearest neighbor(KNN)regressor,long short-term memory(LSTM),averaging model,random forest(RF)regressor,bagging regressor,and gradient boosting(GB)*** addition,data cleaning and data preprocessing were performed to the *** dataset used in this study includes 4 features and 50530 *** accurately predict the wind power values,we propose in this paper a new optimization technique based on stochastic fractal search and particle swarm optimization(SFSPSO)to optimize the parameters of LSTM *** evaluation criteria were utilized to estimate the efficiency of the regression models,namely,mean absolute error(MAE),Nash Sutcliffe Efficiency(NSE),mean square error(MSE),coefficient of determination(R2),root mean squared error(RMSE).The experimental results illustrated that the proposed optimization of LSTM using SFS-PSO model achieved the best results with R2 equals 99.99%in predicting the wind power values.

关键词： Prediction of wind power data preprocessing performance evaluation