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Phyton-International Journal of Experimental Botany 2021年第6期90卷 1749-1762页

作者： mohammed ali Ashehri Biology Department Faculty of ScienceUniversity of TabukTabuk47512Saudi Arabia

In most of Arabian courtiers Rhazya stricta is extensively utilized in public medicine for several diseases *** this study,crude alkaloid extract of ***(CAERS)coated with silver nanoparticles(CAERS-AgNPs)as potential treatment against diabetes in DM animal model was *** albino male rats(n=80)were injected with STZ to induce Diabetes Mellitus type-2(DM).DM-rats were injected different doses of CAERS or CAERS-nanoparticles(CAERS-NPs)for 2 *** results exhibited that mRNA expression of insulin and insulin receptor was down-regulated,activity levels of antioxidant enzymes were decreased,generation of ROS mediated DNA adducts and apoptosis in DM-rats was increased significantly than those in negative control *** contrast,the expression of insulin and insulin receptor genes was up-regulated,activity levels of antioxidant enzymes,ROS generation,DNA adducts and apoptosis incidence in DM-rats supplemented with high dose of CAERS and all doses of CAERS-NPs were *** conclusion:*** nanoparticles improved the anti-diabetic effect of the plant much more than the powder form of the *** action could be attributed to modification of the chemical and physical properties of the plant *** properties modification might be improved the ability of plant compounds to penetrate the cell membrane which facilitating release of plant materials into the target cells.

关键词： Diabetes Rhazya stricta nanotechnology gene expression DNA damage apoptosis

MoBShield:A Novel XML Approach for Securing Mobile Banking

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Computers, Materials & Continua 2024年第5期79卷 2123-2149页

作者： Saeed Seraj ali Safaa Sadiq OmprakashKaiwartya Mohammad Aljaidi Alexandros Konios mohammed ali mohammed Abazeed Department of Computer Science Nottingham Trent UniversityClifton LaneNottinghamNG118NSUK Department of Computer Science Faculty of Information TechnologyZarqa UniversityZarqa13110Jordan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Mobile banking security has witnessed significant R&D attention from both financial institutions and *** is due to the growing number of mobile baking applications and their reachability and usefulness to ***,these applications are also attractive prey for cybercriminals,who use a variety of malware to steal personal banking *** literature in mobile banking security requiresmany permissions that are not necessary for the application’s intended security *** this context,this paper presents a novel efficient permission identification approach for securing mobile banking(MoBShield)to detect and prevent malware.A permission-based dataset is generated for mobile banking malware detection that consists large number of malicious adware apps and benign apps to use as training *** dataset is generated from 1650 malicious banking apps of the Canadian Institute of Cybersecurity,University of New Brunswick and benign apps from Google Play.A machine learning algorithm is used to determine whether amobile banking application ismalicious based on its permission ***,an eXplainable machine learning(XML)approach is developed to improve trust by explaining the reasoning behind the algorithm’s *** evaluation tests that the approach can effectively and practically identify mobile banking malware with high precision and reduced false ***,the adapted artificial neural networks(ANN),convolutional neural networks(CNN)and XML approaches achieve a higher accuracy of 99.7%and the adapted deep neural networks(DNN)approach achieves 99.6%accuracy in comparison with the state-of-the-art *** promising results position the proposed approach as a potential tool for real-world scenarios,offering a robustmeans of identifying and thwarting malware inmobile-based banking ***,MoBShield has the potential to significantly enhance the security and trustworthiness of

关键词： Security malware detection deep learning convolutional neural networks deep neural networks

Geochemistry of magnetite in beach sands, stream sediments,and in situ magnetites in surrounding rocks at north Taiwan island

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Acta Geochimica 2022年第3期41卷 434-452页

作者： Eslam mohammed ali Mitwally Bing-Sheng Yu Institute of Mineral Resources Engineering National Taipei University of TechnologyTaipeiTaiwanRepublic of China Geology Department Faculty of ScienceAl Azhar UniversityAsyuˆtEgypt

The geochemistry of magnetite provides constraints on the source(s) of the magnetite and other ore minerals. In this study, we constructed a magnetite distribution map, compared the chemical composition of magnetite present in hard rocks with that present in sand beach and stream deposits to determine magnetite’s provenance,investigated relationships among different trace elements,examined variations in the concentrations of trace elements present in magnetite, and identified the type of studied magnetite. Laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS) and inductively coupled plasma mass spectrometry/inductively coupled plasma atomic emission spectroscopy was used to analyze samples available in small and large amounts, respectively. The average magnetite compositions of beach and river samples were substantially similar to those of andesite rocks,revealing that the magnetite samples may have originated from surrounding andesite rocks;this finding is consistent with the chemical composition of the samples analyzed using LA-ICP-MS. Some of the andesite rocks found in the study area were the primary source of magnetite aggregations in the beach sands and stream sands near or slightly away from these rocks. High Ti–V magnetites lie within the fields of Fe–Ti–V bearing magnetite and titanomagnetite(ulv?spinel). These titanomagnetites may be undergoing transformation to spinel minerals such as galaxite,gahnite, magnesiochromite, and chromite, which are characterized by the high concentrations of Al, Ti, Mg, Cr,Ni, Mn, and Zn. The positive correlation between Fe and Ti, Cr and Ni, and also the negative correlation between Fe and Mg, Mn and Zn can be attributed to various magnetite phases present in the study area. V, Co, Mo, Nb, Ga, Sn,and Ta exhibited a positive correlation with Fe and a negative correlation with Al. The positive correlation between Fe and these elements indicates the enrichment of these elements in the magnetite series. We observ

关键词： Magnetite chemistry LA-ICP-MS Element incorporation Multi variation diagram Distribution map North Taiwan

New topological and non-topological unidirectional-wave solutions for the modifie d-mixe d KdV equation and bidirectional-waves solutions for the Benjamin Ono equation using recent techniques

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Journal of Ocean Engineering and Science 2022年第2期7卷 163-169页

作者： Marwan Alquran mohammed ali Hammad Jadallah Department of Mathematics and Statistics Jordan University of Science&TechnologyIrbid 22110Jordan

In this paper,new explicit unidirectional wave solutions for the modified-mixed KdV equation and bidi-rectional waves for the Benjamin Ono equation are *** extension of the rational sine-cosine and sinh-cosh methods are *** addition,an extension of the recent polynomial function method is applied as *** types of topological and non-topological soliton solutions are extracted to the proposed models and categorized by providing 2D and 3D ***,some physical properties of the new bidirectional waves solutions to the Benjamin Ono model are discussed.

关键词： Single-wave solutions Two-waves solutions Extended rational sine-cosine method Extended rational sinh-cosh method Polynomial-function method

Computation and parameterization of normalized glandular dose using Geant4

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Nuclear Science and Techniques 2015年第3期26卷 51-56页

作者： Omrane Kadri mohammed ali Alnafea Khaled Shamma Department of Radiological Sciences College of Applied Medical SciencesKing Saud University National Center for Nuclear Sciences and Technologies

The average absorbed dose in glandular tissue is the most appropriate parameter for the assessment of the radiation-induced risk during breast imaging. The aims of this work concern:(1) the investigation of the variation effect of any related update to photon cross-section data-bases on the computation of the normalized glandular dose(Dg N) for mammography quality control tests and(2) the proposition of a parameterization method leading to provide Dg N values function of the breast thickness(T) and the particle energy(E) instead of E alone, as normally known. We analyzed the change effect of the photon cross-section data-bases on the computation of Dg N. Those coefficients, generated using the Geant4 Monte Carlo toolkit, were studied over a range of compressed breast thickness of 2–8 cm for monoenergetic(1–120 ke V by 1 ke V intervals) and polyenergetic(23–35 k Vp by 2 k Vp intervals) X-ray beams. Moreover, breast tissue composition ranging from about0% glandular(about 100% adipose) to 100% glandular(0% adipose) was also covered. The successful parameterization of Dg N look-up table function of the breast thickness and energy, will compact its analytical form without loss of accuracy. All parameterization fits resulted in r2 values of 0.999 or better.

关键词： Geant4 剂量计算吸收剂量参数化归一化腺体质量控制 X线摄影

X-Ray Covid-19 Detection Based on Scatter Wavelet Transform and Dense Deep Neural Network

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Computer Systems Science & Engineering 2022年第6期41卷 1255-1271页

作者： ali Sami Al-Itbi Ahmed Bahaaulddin A.Alwahhab ali mohammed Sahan Informatics Department Technical College of ManagementMiddle Technical UniversityBaghdadIraq

Notwithstanding the discovery of vaccines for Covid-19, the virus'srapid spread continues due to the limited availability of vaccines, especially inpoor and emerging countries. Therefore, the key issues in the presentCOVID-19 pandemic are the early identification of COVID-19, the cautiousseparation of infected cases at the lowest cost and curing the disease in the earlystages. For that reason, the methodology adopted for this study is imaging tools,particularly computed tomography, which have been critical in diagnosing andtreating the disease. A new method for detecting Covid-19 in X-rays and CTimages has been presented based on the Scatter Wavelet Transform and DenseDeep Neural Network. The Scatter Wavelet Transform has been employed as afeature extractor, while the Dense Deep Neural Network is utilized as a binaryclassifier. An extensive experiment was carried out to evaluate the accuracy ofthe proposed method over three datasets: IEEE 80200, Kaggle, andCovid-19 X-ray image data Sets. The dataset used in the experimental part consists of 14142. The numbers of training and testing images are 8290 and 2810,respectively. The analysis of the result refers that the proposed methods achievedhigh accuracy of 98%. The proposed model results show an excellent outcomecompared to other methods in the same domain, such as (DeTraC) CNN, whichachieved only 93.1%, CNN, which achieved 94%, and stacked Multi-ResolutionCovXNet, which achieved 97.4%. The accuracy of CapsNet reached 97.24%.

关键词： Covid-19 detection scatter wavelet transform deep learning dense Deep Neural Network

Robust tracking control of a robot manipulator using a passivity-based extended-state observer approach

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IET Cyber-Systems and Robotics 2019年第2期1卷 63-71页

作者： mohammed ali C.K.Alexander Department of Electrical Engineering Computer Science Cleveland State UniversityClevelandOhio 44115USA

study presents a combination of the robust passivity-based controller(RPBC)and an extended state observer(ESO)for the tracking control of a three degree-of-freedom PUMA 500 robot manipulator under parameter variations and external *** dynamic model of the PUMA robot and its structural properties are *** extra state in the ESO estimates the parameter variations and external disturbances in the control *** the RPBC cancels them in the control *** stability of the proposed control system and the convergence of the observation errors are *** prove that the proposed controller is robust and tracks well under parameter variations,and external disturbances,validating the proposed control scheme.

关键词： robot state PUMA

Deployment of Polar Codes for Mission-Critical Machine-Type Communication Over Wireless Networks

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Computers, Materials & Continua 2022年第4期71卷 573-592页

作者： Najib Ahmed mohammed ali mohammed Mansoor Rodina Binti Ahmad Saaidal Razalli Bin Azzuhri Department of Software Engineering Faculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala Lumpur Malaysia 2Department of Computer System&TechnologyFaculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala LumpurMalaysia

Mission critical Machine-type Communication(mcMTC),also referred to as Ultra-reliable Low Latency Communication(URLLC),has become a research *** is primarily characterized by communication that provides ultra-high reliability and very low latency to concurrently transmit short commands to a massive number of connected *** the reduction in physical(PHY)layer overhead and improvement in channel coding techniques are pivotal in reducing latency and improving reliability,the current wireless standards dedicated to support mcMTC rely heavily on adopting the bottom layers of general-purpose wireless standards and customizing only the upper *** mcMTC has a significant technical impact on the design of all layers of the communication protocol *** this paper,an innovative bottom-up approach has been proposed for mcMTC applications through PHY layer targeted at improving the transmission reliability by implementing ultra-reliable channel coding scheme in the PHY layer of IEEE 802.11a standard bearing in mind short packet transmission *** achieve this aim,we analyzed and compared the channel coding performance of convolutional codes(CCs),low-density parity-check(LDPC)codes,and polar codes in wireless network on the condition of short data packet *** Viterbi decoding algorithm(VA),logarithmic belief propagation(Log-BP)algorithm,and cyclic redundancy check(CRC)successive cancellation list(SCL)(CRC-SCL)decoding algorithm were adopted to CC,LDPC codes,and polar codes,***,a new PHY layer for mcMTC has been *** reliability of the proposed approach has been validated by simulation in terms of Bit error rate(BER)and packet error rate(PER)***-to-noise ratio(SNR).The simulation results demonstrate that the reliability of IEEE 802.11a standard has been significantly improved to be at PER=10−5 or even better with the implementation of polar *** results also show that the general-purpose wireless net

关键词： Machine-type communication mission-critical applications MTC URLLC M2M wireless networks polar codes

Using the image processing in digital system to determine the nuclear parameters of LR-115 detector

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Radiation Detection Technology and Methods 2021年第2期5卷 255-263页

作者： Firas mohammed ali Al‑jomaily Physics Department Science CollegeMosul UniversityMosulIraq

Background The relative resolution of the nuclear track detector to distinguish between the different energies of alpha particles has been *** This done by modeling the nuclear track of LR-115 detector,the revealed tracks have been classified and their diameters were measured with numerical densities replication depending on the fitting by resonance Breit–Wigner formula,the optimum etching time was chose with the least standard deviation of the spectral distribution of tracks diameter according to the average track diameter(D).Purpose The spectral distribution width(ΔD)was determined at Full Width at Half Maxima(FWHM).The results and comparisons showed the resonance Breit–Wigner formula it had a preference in improving the relative resolution of the detector as compared with the Gaussian and Wblfit *** turns out the application of image analysis software by MATLAB technique leads to give fast and accurate nuclear track parameters for *** The digitally counting system is high accurate and infinite speed in completing the *** results obtained with respect to the measurement of 238U concentration in the standard samples,showed the superiority of digitally system in the determination of these concentration in comparison with manually system,with average error rate no exceeding of 4.175%.

关键词： LR-115 SSNT’D Digitally system Relative resolution Image processing

Explicit solutions to the time-fractional generalized dissipative Kawahara equation

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Journal of Ocean Engineering and Science 2024年第4期9卷 348-352页

作者： Marwan Alquran mohammed ali Omar Alshboul Department of Mathematics and Statistics Jordan University of Science and TechnologyIrbid 22110Jordan

In this paper,the generalized dissipative Kawahara equation in the sense of conformable fractional derivative is presented and solved by applying the tanh-coth-expansion and sine-cosine function *** quadratic-case and cubic-case are investigated for the proposed *** solutions are obtained with highlighting to the effect of the presence of the alternative fractional-derivative and the effect of the added dissipation term to the generalized Kawahara *** graphical analysis is presented to support the findings of the ***,we believe that the obtained results in this work will be important and valuable in nonlinear sciences and ocean engineering.

关键词： Time-fractional Kawahara equation Conformable-derivative Tanh-coth-expansion method Sine-cosine function method