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Cutaneous leishmaniasis in Al Hassa, Saudi Arabia: Epidemiological trends from 2000 to 2010

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Asian Pacific Journal of Tropical Medicine 2013年第8期6卷 667-672页

作者： Tarek tawfik Amin Hamdan Ibrahim Al-mohammed Feroze Kaliyadan Balghonaim Salah mohammed King Faisal University Cairo University Vector Control Unit Preventive Medicine Department Local Health Directorate Al Hofuf Ministry of Health

Objective: To study epidemiological trends related to cutaneous leishmaniasis (CL) in Al Hassa, an endemic area in Saudi Arabia. Methods: This retrospective study included the spatial/ temporal analysis of the reported cases of CL using the available surveillance database for the disease at the regional Vector Control Unit, from 2000 to 2010. Results: The incidence of CL was declining at a stable rate especially during the last 3 years of the study (2008-2010). An interesting finding was the percentage of expatriates affected was increasing over the last 10 years compared to that of the Saudis. Conclusions: A definite declining trend in the incidence of CL was observed in Al Hassa. Further studies are warranted to assess whether special public health measures are needed for better control of CL in expatriate populations in Saudi Arabia.

关键词： Cutaneous leishmaniasis Epidemiology Saudi Arabia

Functional Nonparametric Predictions in Food Industry Using Near-Infrared Spectroscopy Measurement

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Computers, Materials & Continua 2023年第3期74卷 6307-6319页

作者： Ibrahim M.Almanjahie Omar Fetitah mohammed Kadi Attouch tawfik Benchikh Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Laboratory of Statistics and Stochastic Processes University of Djillali Liabes BP 89 Sidi Bel Abbes22000Algeria Medical Faculty Djillali Liabes University BP 89Sidi Bel Abbes22000Algeria

Functional statistics is a new technique for dealing with data thatcan be viewed as curves or images. Parallel to this approach, the Near-InfraredReflectance (NIR) spectroscopymethodology has been used in modern chemistryas a rapid, low-cost, and exact means of assessing an object’s chemicalproperties. In this research, we investigate the quality of corn and cookiedough by analyzing the spectroscopic technique using certain cutting-edgestatistical models. By analyzing spectral data and applying functional modelsto it, we could predict the chemical components of corn and cookie *** Functional Classical Estimation (KFCE), Kernel Functional QuantileEstimation (KFQE), Kernel Functional Expectile Estimation (KFEE),Semi-Partial Linear Functional Classical Estimation (SPLFCE), Semi-PartialLinear Functional Quantile Estimation (SPLFQE), and Semi-Partial LinearFunctional Expectile Estimation (SPLFEE) are models used to accuratelyestimate the different quantities present in Corn and Cookie dough. Theselection of these functional models is based on their ability to constructa forecast region with a high level of confidence. We demonstrate that theconsidered models outperform traditional models such as the partial leastsquaresregression and the principal component regression in terms of predictionaccuracy. Furthermore, we show that the proposed models are morerobust than competing models such as SPLFQE and SPLFEE in the sensethat data heterogeneity has no effect on their efficiency.

关键词： Functional statistics NIR chemical component kernel estimation

Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

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Computers, Materials & Continua 2022年第6期71卷 4391-4408页

作者： Ashraf Mohamed Ali Hassan mohammed S.Alzaidi Sherif S.M.ghoneim Waleed El Nahal Electronics and Communications Engineering Department Faculty of EngineeringSinai UniversityArishCO 45511Egypt Department of Electrical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Faculty of Technology and Education Suez UniversitySuez43527Egypt Electronics and Communications Engineering Department Faculty of EngineeringMSA UniversityCO 12585Egypt

This paper introduced an efficient compression technique that uses the compressive sensing(CS)method to obtain and recover sparse electrocardiography(ECG)*** recovery of the signal can be achieved by using sampling rates lower than the Nyquist frequency.A novel analysis was proposed in this *** apply CS on ECG signal,the first step is to generate a sparse signal,which can be obtained using Modified Discrete Cosine Transform(MDCT)on the given *** transformation is a promising key for other transformations used in this search domain and can be considered as the main contribution of this paper.A small number of wavelet components can describe the ECG signal as related work to obtain a sparse *** technique for ECGsignal compression,which is a novel area of research,is *** signals are introduced randomly between any successive beats of the ***-BIH database can be represented as the experimental database in this domain of ***-BIH database consists of various ECG signals involving a patient and standard ECG *** can be considered as the simulation tool used in this *** proposed method’s uniqueness was inspired by the compression ratio(CR)and achieved by *** performance measurement of the recovered signal was done by calculating the percentage root mean difference(PRD),mean square error(MSE),and peak signal to noise ratio(PSNR)besides the calculation of ***,the simulation results indicated that this work is one of the most important works in ECG signal compression.

关键词： Compressive sensing sparse beats of hearts compression ratio percentage root mean difference

Classification of Electroencephalogram Signals Using LSTM and SVM Based on Fast Walsh-Hadamard Transform

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Computers, Materials & Continua 2023年第6期75卷 5271-5286页

作者： Saeed Mohsen Sherif S.M.ghoneim mohammed S.Alzaidi Abdullah Alzahrani Ashraf Mohamed Ali Hassan Electronics and Communications Engineering Department Al-Madinah Higher Institute for Engineering and TechnologyGiza12947Egypt Department of Artificial Intelligence Engineering Faculty of Computer Science and EngineeringKing Salman International University(KSIU)South Sinai46511Egypt Department of Electrical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Department of Electronics and Communications Engineering October High Institute for Engineering and Technology6th of October CityGiza12596Egypt

Classification of electroencephalogram(EEG)signals for humans can be achieved via artificial intelligence(AI)***,the EEG signals associated with seizure epilepsy can be detected to distinguish between epileptic and non-epileptic *** this perspective,an automated AI technique with a digital processing method can be used to improve these *** paper proposes two classifiers:long short-term memory(LSTM)and support vector machine(SVM)for the classification of seizure and non-seizure EEG *** classifiers are applied to a public dataset,namely the University of Bonn,which consists of 2 classes–seizure and *** addition,a fast Walsh-Hadamard Transform(FWHT)technique is implemented to analyze the EEG signals within the recurrence space of the ***,Hadamard coefficients of the EEG signals are obtained via the ***,the FWHT is contributed to generate an efficient derivation of seizure EEG recordings from non-seizure EEG ***,a k-fold cross-validation technique is applied to validate the performance of the proposed *** LSTM classifier provides the best performance,with a testing accuracy of 99.00%.The training and testing loss rates for the LSTM are 0.0029 and 0.0602,respectively,while the weighted average precision,recall,and F1-score for the LSTM are 99.00%.The results of the SVM classifier in terms of accuracy,sensitivity,and specificity reached 91%,93.52%,and 91.3%,*** computational time consumed for the training of the LSTM and SVM is 2000 and 2500 s,*** results show that the LSTM classifier provides better performance than SVM in the classification of EEG ***,the proposed classifiers provide high classification accuracy compared to previously published classifiers.

关键词： Electroencephalogram LSTM SVM fast Walsh-Hadamard transform seizure accuracy sensitivity specificity

Phishing Websites Detection by Using Optimized Stacking Ensemble Model

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Computer Systems Science & Engineering 2022年第4期41卷 109-125页

作者： Zeyad Ghaleb Al-Mekhlafi Badiea Abdulkarem mohammed mohammed Al-Sarem Faisal Saeed tawfik Al-Hadhrami Mohammad T.Alshammari Abdulrahman Alreshidi Talal Sarheed Alshammari College of Computer Science and Engineering University of Ha'ilHa'il81481KSA College of Computer Sciences and Engineering Hodeidah UniversityHodeidah967Yemen College of Computer Science and Engineering Taibah UniversityAl-Madinah42353KSA Nottingham Trent University MansfieldNG185BHUnited Kingdom

Phishing attacks are security attacks that do not affect only individuals’or organizations’websites but may affect Internet of Things(IoT)devices and *** environment is an exposed environment for such *** may use thingbots software for the dispersal of hidden junk emails that are not noticed by *** and deep learning and other methods were used to design detection methods for these ***,there is still a need to enhance detection *** of an ensemble classiﬁcation method for phishing website(PW)detection is proposed in this study.A Genetic Algo-rithm(GA)was used for the proposed method optimization by tuning several ensemble Machine Learning(ML)methods parameters,including Random Forest(RF),AdaBoost(AB),XGBoost(XGB),Bagging(BA),GradientBoost(GB),and LightGBM(LGBM).These were accomplished by ranking the optimized classi-ﬁers to pick out the best classiﬁers as a base for the proposed method.A PW data-set that is made up of 4898 PWs and 6157 legitimate websites(LWs)was used for this study's *** a result,detection accuracy was enhanced and reached 97.16 percent.

关键词： Phishing websites ensemble classiﬁers optimization methods genetic algorithm

Prevalence of intestinal parasitic infections and its relationship with socio-demographics and hygienic habits among male primary schoolchildren in Al-Ahsa,Saudi Arabia

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Asian Pacific Journal of Tropical Medicine 2010年第11期3卷 906-912页

作者： Hamdan Ibrahim Al-mohammed Tarek tawfik Amin Elsayed Aboulmagd Hatem Refaat Hablus Burhan Omar Zaza Department of Medical Microbiology and Parasitology College of MedicineKing Faisal UniversitySaudi Arabia Department of Community Medicine Faculty of MedicineCairo UniversityEgypt Department of Paediatrics College of MedicineKing Faisal UniversitySaudi Arabia Technical Director School Health Preventive ServicesMinistry of EducationAl-Hofuf DirectorateSaudi Arabia

Objective:To investigate the prevalence of different intestinal parasitic infections among male primary schoolchildren in Al-Ahsa,Saudi Arabia,and to explore the possible relative socioeconomic, environmental and behavioural sanitary ***:A cross-sectional descriptive study was performed.A total of 1 289 male students aged from 7 to 12 years were selected randomly from 20 urban and 12 rural primary schools by multistage sampling method. Data collection was carried out by self administered questionnaire form to the parents/guardians of students and included inquires about socio-demographics,environmental conditions,and behavioural sanitary *** analysis was carried out to examine the presence of intestinal parasitic ***:Overall prevalence of parasitic infections was 27.2%,more among rural *** encountered infections included Entamoeba histolytica/dispar(8.2%), Giardia lamblia(6.5%),Entamoeba coli(4.0%) and Enterobius vermicularis(1.6%).Logistic regression revealed that lower maternal educational level and occupational status,low family income,big family size,poor personal hygienic practices and positive history of previous intestinal infections among family members increased the likelihood of ***: Although of low magnitude,intestinal parasitic infections still represent a public health concern among male schoolchildren in Al-Ahsa ***-demographic and poor personal hygienic habits are the main predictors for these infections.

关键词： Intestinal parasitic infections Schoolchildren Epidemiological correlates Hygiene Saudi Arabia

Molecular Simulation of Cement-Based Materials and Their Properties

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Engineering 2022年第8期8卷 165-178页

作者： Ashraf A.Bahraq mohammed A.Al-Osta Omar S.Baghabra Al-Amoudi I.B.Obot mohammed Maslehuddin Habib-ur-Rehman Ahmed tawfik A.Saleh Department of Civil and Environmental Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Interdisciplinary Research Center for Construction and Building Materials King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Interdisciplinary Research Center for Advanced Materials King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Department of Chemistry King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Hydrated cement is one of the complex composite systems due to the presence of multi-scale phases with varying *** silicate hydrate,which is the principal binder phase in the hydrated cement,is responsible for the stiffness,strength,and durability of Portland cement *** understand the mechanical and durability behavior of concrete,it is important to investigate the interactions of hydrated cement phases with other materials at the *** this regard,the molecular simulation of cement-based materials is an effective approach to study the properties and interactions of the cement system at the fundamental ***,many studies have been published regarding atomistic simulations to investigate the cement phases to define/explain the microscopic physical and chemical properties,thereby improving the macroscopic performance of hardened *** research in molecular simulation of cementitious systems involves researchers with multidisciplinary backgrounds,mainly in two areas:(1)cement chemistry,where the hydration reactions govern most of the chemical and physical properties at the atomic scale;and(2)computational materials science and engineering,where the bottom-up approach is *** latter approach is still in its infancy,and as such,a study of the prevailing knowledge is useful,namely through an exhaustive literature *** state-of-theart report provides a comprehensive survey on studies that were conducted in this area and cites the important findings.

关键词： Atomistic simulation Molecular dynamics Cement phases Hydration products Nanoengineering

Interaction of ²⁸Si with Emulsion Nuclei at 4.5 AGeV/c in View of Thermo-Statistical Approach

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Journal of Applied Mathematics and Physics 2023年第3期11卷 629-638页

作者： Mohamed tawfik ghoneim Zeinab Abdel-Halim Mohamed Tarek Hussein Faculty of Science Cairo University Cairo Egypt

In this work, we study some changes of nuclear matter in the interactions of 28Si with emulsion nuclei at 4.5 AGeV/c. From the experimental quantities investigated using Tsallis’ statistics, we deduced the temperature, entropy density and non-equilibrium factor of the nuclear medium. These obtained parameters were used to reveal variations in the nuclear matter at the stated interaction energy. The results that came up from this study were compared with their corresponding results obtained from other heavy ion collision experiments at wide energy range.

关键词： Silicon Nuclear Emulsion Rapidity Heavy Ions Collision

Proton-Proton Collisions in View of Thermo-Statistical Approach

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Journal of High Energy Physics, Gravitation and Cosmology 2023年第2期9卷 475-488页

作者： Mohamed Tarek Hussein Zeinab Abdel-Halim Mohamed tawfik ghoneim Faculty of Science Cairo University Cairo Egypt

The data of charged particles produced in proton-proton collisions extracted from Durham particle data group at energy ranges √s = 6.3 - 17 GeV and at 0.9 - 7 TeV are investigated in the framework of Tsallis thermo-statistics and the Vlasov time dynamics. The analysis can describe the experimental data well all-over the considered energies and rapidity intervals. The variation of the collision parameters (chemical potential, entropy index and the time of evolution) is studied and discussed as a function of the final state temperature. According to the obtained result, a scenario, and a script of the time evolution for the particle production is simulated by the pp collision.

关键词： High Energy Particle Collisions Statistical Thermodynamic Analysis Phase Transition