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Journal of Earth Science 2016年第5期27卷 786-795页

作者： mohamed Al-Hilal Ahmad Al-ali Department of Geology the Atomic Energy Commission of Syria (AECS)

A detailed radiometric survey including soil gas radon measurements and field gammaray survey, in accordance with geochemical and geological investigations were carried out in AlNassrieh Basin（central Syria）, for the purpose of uranium exploration. Thirty-six samples were collected from various lithofacies of the survey area and analyzed by γ-ray spectrometric technique for determining the concentration values of major radioelements. The relationships between the concentrations of equivalent e U, e Th, and their ratios were examined in order to define their trend of variations and evaluate the degree of uranium remobilization and redistribution. Although the initial results indicate that uranium enrichment is mostly restricted to the Upper Cretaceous phosphate rocks, a considerable portion of uranium appeared to be leached out of the primary phosphatic source and dispersed in the adjacent recent sediments. Further, notable increases of radon level associated with relatively high values of uranium concentration and gamma count rates were found to be spatially correlated with the transition zone between the marine Paleogene and continental Neogene formations throughout the study basin. This observation demonstrates the importance of the concerned zone as a suitable geological environment for hosting probable uranium mineralization along a chemically reducing interface where surface water of terrestrial and marine origin mingled at depth and away from surficial conditions.

关键词： radiometric survey geochemistry uranium exploration AI-Nassrieh Basin Syria.

Linearly and Quadratically Separable Classifiers Using Adaptive Approach

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Journal of Computer Science & Technology 2011年第5期26卷 908-918页

作者： mohamed Abdel-Kawy mohamed ali Soliman Rasha M.Abo-Bakr Department of Computer and Systems Engineering Faculty of EngineeringZagazig UniversityZagazigEgypt Departement of Mathematics Faculty of ScienceZagazig UniversityZagazigEgypt

This paper presents a fast adaptive iterative algorithm to solve linearly separable classification problems in R *** each iteration,a subset of the sampling data （n-points,where n is the number of features） is adaptively chosen and a hyperplane is constructed such that it separates the chosen n-points at a margin and best classifies the remaining *** classification problem is formulated and the details of the algorithm are ***,the algorithm is extended to solving quadratically separable classification *** basic idea is based on mapping the physical space to another larger one where the problem becomes linearly *** illustrations show that few iteration steps are sufficient for convergence when classes are linearly *** nonlinearly separable data,given a specified maximum number of iteration steps,the algorithm returns the best hyperplane that minimizes the number of misclassified points occurring through these *** with other machine learning algorithms on practical and benchmark datasets are also presented,showing the performance of the proposed algorithm.

关键词： linear classification quadratic classification iterative approach adaptive technique

Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods

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Computers, Materials & Continua 2022年第2期70卷 3473-3489页

作者： mohamed ali mohamed Ibrahim Mahmoud El-Henawy Ahmad Salah Faculty of Computers and Informatics Zagazig UniversityZagazigEgypt

Price prediction of goods is a vital point of research due to how common e-commerce platforms *** are several efforts conducted to forecast the price of items using classicmachine learning algorithms and *** models can predict prices of various financial instruments,e.g.,gold,oil,cryptocurrencies,stocks,and second-hand *** these efforts,the literature has no model for predicting the prices of seasonal goods(e.g.,Christmas gifts).In this context,we framed the task of seasonal goods price prediction as a regression ***,we utilized a real online trailer dataset of Christmas gifts and then we proposed several machine learningbased models and one statistical-based model to predict the prices of these seasonal ***,we utilized a real-life dataset of Christmas gifts for the prediction ***,we proposed support vector regressor(SVR),linear regression,random forest,and ridgemodels as machine learningmodels for price ***,we proposed an autoregressive-integrated-movingaverage(ARIMA)model for the same purpose as a statistical-based ***,we evaluated the performance of the proposed models;the comparison shows that the best performing model was the random forest model,followed by the ARIMA model.

关键词： ARIMA machine learning price prediction random forest ridge support vector regressor

Dengue virus infections and anti-dengue virus activities of Andrographis paniculata

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Asian Pacific Journal of Tropical Medicine 2020年第2期13卷 49-55页

作者： mohamed ali-Seyed Kavitha Vijayaraghavan Department of Clinical Biochemistry Faculty of MedicineUniversity of TabukTabukSaudi ArabiaTabuk 71491Saudi Arabia Department of Chemical Engineering Agni College of TechnologyChennaiTamil NaduIndia

Dengue is a debilitating disease that poses a perpetual threat to human health and increases the global economic burden every *** advances in medical sciences,dengue virus(DENV)infects approximately 200 million people every *** date,no effective antiviral is valiable to treat DENV in individuals despite great efforts in accomplishing these *** approaches have been used in the search for dengue antiviral like screening of combinatorial compounds against DENV enzymes and structurebased computational *** recent years,investigators have turned their focus into medicinal plants,trying to identify compounds that can be used as dengue *** represents a great reservoir of potential substances that can be explored with the aim of discovering new drugs that can be either used directly as pharmaceuticals or can provide drug leads,which can be scrutinized further for the development of new anti-dengue natural *** previous investigations have dealt with numerous plant extracts or bioactive principles for their antiviral property as they normally considered being safer when compared to synthetic *** paniculata belongs to family Acanthaceae and is generally known as‘king of bitters’.Diverse bioactive compounds from this plant such as diterpenes,flavonoids,xanthones,noriridoides and other miscellaneous compounds have exhibited their potential as therapeutics for various chronic as well as infectious *** review is based on literature review on scientific journals,books and electronic sources,which highlights the pathogenesis of DENV and describe an assortment of bioactive principles that have been possessing antiviral potential,which include dengue and discuss the therapeutic efficacy and mechanism of action of Andrographis ***,a detailed and more comprehensive clinical trial on mammalian tissues and organs is needed in future studies.

关键词： Andrographis paniculata Dengue Phytochemicals Natural products Andrographolide

Grey Wolf-Based Method for an Implicit Authentication of Smartphone Users

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Computers, Materials & Continua 2023年第5期75卷 3729-3741页

作者： Abdulwahab ali Almazroi mohamed Meselhy Eltoukhy University of Jeddah College of Computing and Information Technology at KhulaisDepartment of Information TechnologyJeddahSaudi Arabia

Smartphones have now become an integral part of our everyday *** authentication on smartphones is often accomplished by mechanisms(like face unlock,pattern,or pin password)that authenticate the user’s *** technologies are simple,inexpensive,and fast for repeated ***,these technologies are still subject to assaults like smudge assaults and shoulder ***’touch behavior while using their cell phones might be used to authenticate them,which would solve the *** performance of the authentication process may be influenced by the attributes chosen(from these behaviors).The purpose of this study is to present an effective authentication technique that implicitly offers a better authentication method for smartphone usage while avoiding the cost of a particular device and considering the constrained capabilities of *** began by concentrating on feature selection methods utilizing the grey wolf optimization *** random forest classifier is used to evaluate these *** testing findings demonstrated that the grey wolf-based methodology works as a better optimum feature selection for building an implicit authentication mechanism for the smartphone environment when using a public *** achieved a 97.89%accuracy rate while utilizing just 16 of the 53 characteristics like utilizing minimum mobile resources mainly;processing power of the device and memory to validate ***,the findings revealed that our approach has a lower equal error rate(EER)of 0.5104,a false acceptance rate(FAR)of 1.00,and a false rejection rate(FRR)of 0.0209 compared to the methods discussed in the *** promising results will be used to create a mobile application that enables implicit validation of authorized users yet avoids current identification concerns and requires fewer mobile resources.

关键词： Smartphone authentication implicit authentication grey wolf random forest feature selection

High Temperature Indentation Test to Improve Constitutive Model for Welding Simulation

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Journal of Shanghai Jiaotong university(Science) 2011年第3期16卷 286-290页

作者： SLIMANI ali RACHIK mohamed Department of Mechanical Compiegne University of Technology

The high temperature gradients experienced during fusion welding lead to a local dilatation and metallurgical transformations that generate inhomogeneous plastic deformation,residual stresses and distortions in the welded parts which can affect the service life of the *** predict such residual stresses and distortions,finite element analysis is nowadays widely *** work reports a 3D finite element model for welding *** proposed model is based on semi coupled thermo-mechanical analysis using a double ellipsoidal model of heat ***,a disk heated in its central zone is *** the validation concerns the simulation of a fully 3D two pass butt *** idea in this work concerns the calibration of the heat source parameters with the help of the inverse analysis to improve the heat flow *** the stress analysis,an annealing temperature is introduced to force the material to lose its hardening memory above a given *** predicted residual stresses as well as the predicted distortions are found to be sensitive to the annealing temperature.

关键词： welding finite element residual stress inverse analysis annealing temperature

Managing Delivery of Safeguarding Substances as a Mitigation Against Outbreaks of Pandemics

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Computers, Materials & Continua 2021年第7期68卷 1161-1181页

作者： Said ali Hassan Khalid Alnowibet Prachi Agrawal ali Wagdy mohamed Department of Operations Research and Decision Support Faculty of Computers and Articial IntelligenceCairo UniversityGiza12613Egypt Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadhSaudi Arabia Trafc Safety Technologies Chair Vice Deanship of Scientic ResearchKing Saud UniversityRiyadhSaudi Arabia Department of Mathematics and Scientic Computing National Institute of TechnologyHamirpur177005India Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt School of Engineering and Applied Sciences Wireless Intelligent Networks Center(WINC)Nile UniversityGizaEgypt

The optimum delivery of safeguarding substances is a major part of supply chain management and a crucial issue in the mitigation against the outbreak of pandemics.A problem arises for a decision maker who wants to optimally choose a subset of candidate consumers to maximize the distributed quantities of the needed safeguarding substances within a specic time period.A nonlinear binary mathematical programming model for the problem is *** decision variables are binary ones that represent whether to choose a specic consumer,and design constraints are formulated to keep track of the chosen *** better illustrate the problem,objective,and problem constraints,a real application case study is *** case study involves the optimum delivery of safeguarding substances to several hospitals in the Al-Gharbia Governorate in *** hospitals are selected to represent the consumers of safeguarding substances,as they are the rst crucial frontline for mitigation against a pandemic outbreak.A distribution truck is used to distribute the substances from the main store to the hospitals in specied required quantities during a given working *** objective function is formulated in order to maximize the total amount of delivered quantities during the specied time *** case study is solved using a novel Discrete Binary Gaining Sharing Knowledge-based Optimization algorithm(DBGSK),which involves two main stages:discrete binary junior and senior gaining and sharing *** has the ability of nding the solutions of the introduced problem,and the obtained results demonstrate robustness and convergence toward the optimal solutions.

关键词： Safeguarding substances mitigation against pandemic outbreaks supply chain management metaheuristic optimization

Optimum Location of Field Hospitals for COVID-19: A Nonlinear Binary Metaheuristic Algorithm

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Computers, Materials & Continua 2021年第7期68卷 1183-1202页

作者： Said ali Hassan Khalid Alnowibet Prachi Agrawal ali Wagdy mohamed Department of Operations Research and Decision Support Faculty of Computers and Artificial IntelligenceCairo UniversityGiza12613Egypt College of Science Department of Statistics and Operations ResearchKing Saud UniversityRiyadhSaudi Arabia Department of Mathematics and Scientific Computing National Institute of Technology HamirpurHimachal Pradesh177005India Department of Operations Research Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt

Determining the optimum location of facilities is critical in many fields,particularly in *** study proposes the application of a suitable location model for field hospitals during the novel coronavirus 2019(COVID-19)*** used model is the most appropriate among the three most common location models utilized to solve healthcare problems(the set covering model,the maximal covering model,and the P-median model).The proposed nonlinear binary constrained model is a slight modification of the maximal covering model with a set of nonlinear *** model is used to determine the optimum location of field hospitals for COVID-19 risk *** designed mathematical model and the solution method are used to deploy field hospitals in eight governorates in Upper *** this case study,a discrete binary gaining–sharing knowledge-based optimization(DBGSK)algorithm is *** DBGSK algorithm is based on how humans acquire and share knowledge throughout their *** DBGSK algorithm mainly depends on two junior and senior binary *** two stages enable DBGSK to explore and exploit the search space efficiently and effectively,and thus it can solve problems in binary space.

关键词： Facility location nonlinear binary model field hospitals for COVID-19 gaining-sharing knowledge-based metaheuristic algorithm

Site-Specific Nitrogen Management in Dry Direct-Seeded Rice Using Chlorophyll Meter and Leaf Colour Chart

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Pedosphere 2015年第1期25卷 72-81页

作者： ali mohamed ali Harmit Singh THIND Sandeep SHARMA YADVINDER-SINGH Department of Soil Science Punjab Agricultural University Department of Soil Fertility and Microbiology Desert Research Centre

The need to maintain high rice yields and improve fertilizer nitrogen(N)-use efficiency has fueled the use of tools such as leaf colour chart(LCC) and chlorophyll meter(SPAD meter) in managing fertilizer N based on colour of the leaf. Field experiments were conducted during 2011 to 2013 at Ludhiana, India to assess the need for basal N application and to establish critical threshold values of leaf greenness as measured by LCC and SPAD meter for formulating strategies for in-season management of fertilizer N in dry direct-seeded rice(DDSR). Avoiding application of N at sowing did not adversely affect rice grain yield, indicating that basal N application in DDSR was not necessary and might lead to reduced N-use efficiency. Monitoring N uptake rate during the growing season of DDSR suggested that N uptake rate peaked at the two growth stages: maximum tillering(42 to 56 days after sowing(DAS))and panicle initiation stages(70 to 84 DAS). Using the Cate-Nelson procedure, critical LCC and SPAD meter values for fertilizer N application worked out to be 4 and 37, respectively. Real-time fertilizer N management strategy based on applying 30 kg N ha-1whenever SPAD meter or LCC readings fell below the critical values maintained optimum rice yields along with higher N-use efficiency than that observed by following blanket recommendation for fertilizer N in the region. The fixed-time variable-dose strategy consisted of applying prescriptive doses of 20 kg N ha-1at 14 DAS and 30 kg N ha-1at 28 DAS and corrective doses of 30, 40 or 50 kg N ha-1at 49 and 70 DAS depending upon LCC shade to be ≥ 4, 4–3.5, or < 3.5 and SPAD meter readings to be ≥ 40, 40–35, or< 35, respectively. This strategy also resulted in optimal rice yield along with higher N-use efficiency as compared to the blanket recommendation. This study revealed that in DDSR, fertilizer N could be managed more efficiently using the tools of LCC and SPAD meter than the current blanket recommendation.

关键词： basal N application critical value grain yield leaf greenness N-use efficiency

Climatic and anthropogenic impacts on the decrease of sediment discharge to the Mediterranean coast from the largest river of Maghreb

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International Journal of Sediment Research 2021年第2期36卷 268-278页

作者： ali Hadour Gil Mahé mohamed Meddi National High School of Hydraulics

The current study focuses on the issue of the decrease in sediment discharge to the Mediterranean Sea by the largest river in Algeria, the Wadi Cheliff(i.e. Cheliff River). This study clarifies the effect of climatic and anthropogenic factors on the changes in the sedimentary dynamics of the Cheliff River discharging to the sea. The data used(rainfall, water discharge, and sediment discharge) concern the Sidi Bel Attar gaging station on the Cheliff River, only 18 km from discharge to the Mediterranean Sea. A power-type statistical regression model was used to fill the 74.2% gap in Suspended Solids(SS) measurements in the establishment of a SS database for the period 1951 e2012. The study results show that the transport of suspended sediment discharged to the sea is about 487 t/km2/yr. Statistical tests of breaks highlight that rainfall decreased by 26% and that water and sediment input to the sea declined from 74% to 63% for the period of 1981 e2012. The correlation analysis shows a decrease in the contribution of rainfall on sediment and water input at the outlet equal to 77.9% and 77.8%, respectively, during the period of 1980 e2012, compared to the period of 1968 e1980. However, the double mass method reflects the contribution of factors other than rainfall to the decrease of sediment input to the sea. These other factors mainly include large dams, which intercepted about 71% of the total volume of sediment discharged to the sea during the period of 1968 e2010. In addition the contribution of large dams to the reduction of sedimentary input to the sea is more important than that of the decrease in rainfall. The management of large dams also contributes to the increase in the sediment deficit to the sea through the prioritization of interception of sediment at the expense of releases, for socio-economic purposes, 68.4% of the Cheliff River discharge is diverted for human use. This has led to an increase in the mean water bed level at bankfull downstream, where the

关键词： Sediment discharge Cheliff River Algeria North Africa Dams Mediterranean Sea