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Clinical and Radiological Localization of Language Dysfunctions in Acute Ischemic Stroke

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Open Journal of Medical Imaging 2014年第2期4卷 80-85页

作者： Amira Ahmed Zaki Dwidar Taha Kamel Alloush Mahmoud Youssef Abou El-Ella Nahed Salah El-Din Ahmed Karima Moustafa Maher maha ali Mohamed nada Mohamed Hamdy Ibrahim Faculty of Medicine Ain Shams University Cairo Egypt

Objective: To study the effect of cerebral ischemic vascular insult on the localization of language areas as regard to automatic speech, initiation, and mutism. Materials and Methods: Seventy ischemic stroke patients were selected within the first 48 h of the onset of stroke with left hemispheric stroke with aphasia. Inclusion criteria: any age above seven years, both sexes, first ever clinical stroke, admitted within the first 2 days of stroke insult. Patients underwent careful history taking, neurological examination, routine laboratory investigations, echo cardiography, and carotid duplex and language assessments. Results: Automatic speech disorders were mainly seen along left insular, left supramarginal and left frontal inferior orbital lesions. Initiation difficulty is seen mainly along as left insular, left temporal superior and left periventricular lesions. Mutism is seen along left external capsule, left internal capsule, left pallidum, left frontal inferior orbital and left inferior trigone lesions. Conclusions: Deep periventricular white matter and insular area in the dominant hemisphere play an important role in many language tasks. Thus aphasia is not a mere cortical function.

关键词： Clinicoradiological Localization Aphasia Stroke White Matter Perventricular

A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks

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Computer Systems Science & Engineering 2023年第4期45卷 329-342页

作者： nada M.Elfatih Elmustafa Sayed ali maha Abdelhaq Raed Alsaqour Rashid A.Saeed Department of Electrical and Electronics Engineering Red Sea UniversityPort Sudan33311Sudan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics Engineering Sudan University of Science and TechnologyKhartoum11111Sudan

In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection *** optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold ***,these methods do not take into account the effect of sample size and its effect on improving CoR *** general,a large sample size results in more reliable detection,but takes longer sensing time and increases ***,the locally sensed sample size is an optimization ***,optimizing the local sample size for each cognitive user helps to improve CoR *** this study,two new methods are proposed to find the optimum sample size to achieve objective-based improved(single/double)threshold energy detection,these methods are the optimum sample size N^(*)and neural networks(NN)*** the evaluation,it was found that the proposed methods outperform the traditional sample size selection in terms of the total error rate,detection probability,and throughput.

关键词： Cognitive radio spectrum sensing energy detection double threshold neural network machine learning optimization quality of service

In flue nee of microwave drying and con venti onal drying methods on the mechanical properties of naproxen sodium drug tablets

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Particuology 2020年第6期18卷 30-40页

作者： maha Al-ali Rajarathinam Parthasarathy Chemical and Environmental Engineering School of EngineeringRM1T UniversityMelbourneVictoria 3001Australia

Tablets are one of the most comm only used solid dosage forms taken by *** preparati on of high-quality tablets requires an understanding of the preparation process and elucidation of how the physical and mechanical properties change as a function of the preparation *** work aims to investigate the impact of microwave irradiation drying and conventional drying methods(including freeze,convective and vacuum drying)on the hardness,tensile strength and friability of tablets made from a multi-component formulation containing naproxen sodium,microcrystalline cellulose,and *** results show that tablets subjected to microwave drying had the secondhighest tensile strength and hardness of 1.296 MPa and 67 N,*** tablets subjected to vacuum drying had the lowest tensile strength and hardness of 1.21 MPa and 64 N,*** friability index values for the tablets derived from the microwave and freeze-drying methods werel%.Microwave drying was observed to be an efficient method to produce naproxen sodium-containing tablets with satisfactory mechanical *** findings confirm that the drying method plays an essential role in the improvement or degradation of the mechanical properties of tablets.

关键词： Microwave drying Naproxen sodium Hardness Friability Tensile strength

Comparative analyses/evaluation of the textural properties of naproxen sodium tablets and powders prepared using microwave and other drying techniques

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Particuology 2020年第3期18卷 197-204页

作者： maha Al-ali Selvakannan Periasamy Rajarathinam Parthasarathy Chemical and Environmental Engineering School of EngineeringRMIT UniversityMelbourneVictoria 3000Australia Applied Chemistry School of ScienceRMIT UniversityMelbourneVictoria 3000Australia

The properties of oral tablets are normally related to the properties of the powders they *** of oral tablets is important for the development of tablets with rapid and safe release of the active *** this study,a new formulation of naproxen sodium was prepared and dried using microwave drying (MWD) and the following conventional drying techniques:freeze-drying (FD),vacuum drying (VD),and convective drying (CD).The reference drug powder (RDP) and dry granules MWG,CDG,VDG,and FDG,which were dried using MWD,CD,VD,and FD,respectively were compressed to form tablets labeled RF-TAB,MW-TAB,CD-TAB,VD-TAB,and FD-TAB,*** dry granules and prepared tablets were characterized using Fourier transform infrared spectrometry,scanning electron microscopy,and X-ray *** study aimed to explore the correlation between the textural characteristics of the tablets and their respective powders for different drying *** the morphologies of the dry particles were irregular,the prepared tablets were smooth and flat with few *** increased the amorphous nature of the granules but decreased their *** crystallinities of all tablets,except those prepared by VD,decreased after *** summary,the characteristics of the prepared tablets were acquired from their respective powders.

关键词： Naproxen sodium Microwave drying Tablet Texture Crystallinity

A Dual Attention Encoder-Decoder Text Summarization Model

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Computers, Materials & Continua 2023年第2期74卷 3697-3710页

作者： nada ali Hakami Hanan Ahmed Hosni Mahmoud Jazan University Computer Science DepartmentCollege of Computer Science and Information TechnologyJazanSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

A worthy text summarization should represent the fundamental content of the *** studies on computerized text summarization tried to present solutions to this challenging *** models are employed extensively in text summarization *** attention techniques are utilized to acquire the context data in the decoding ***,without real and efficient feature extraction,the produced summary may diverge from the core *** this article,we present an encoder-decoder attention system employing dual attention *** the dual attention mechanism,the attention algorithm gathers main data from the encoder *** the dual attentionmodel,the system can capture and producemore rational main *** merging of the two attention phases produces precise and rational text *** enhanced attention mechanism gives high score to text repetition to increase phrase *** also captures the relationship between phrases and the title giving them higher *** assessed our proposed model with or without significance optimization using ablation *** model with significance optimization achieved the highest performance of 96.7%precision and the least CPU time among other models in both training and sentence extraction.

关键词： Text summarization attention model phrase significance

A Deep-CNN Crowd Counting Model for Enforcing Social Distancing during COVID19 Pandemic: Application to Saudi Arabia’s Public Places

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Computers, Materials & Continua 2021年第2期66卷 1315-1328页

作者： Salma Kammoun Jarraya maha Hamdan Alotibi Manar Salamah ali Department of Computer Science FCITKing Abdulaziz UniversityJeddahSaudi Arabia MIRACL-Laboratory Sfax UniversitySfaxTunisia Department of Computer Science King Khalid UniversityAbhaSaudi Arabia

With the emergence of the COVID19 virus in late 2019 and the declaration that the virus is a worldwide pandemic,health organizations and governments have begun to implement severe health precautions to reduce the spread of the virus and preserve human *** enforcement of social distancing at work environments and public areas is one of these obligatory *** management is one of the effective measures for social *** reducing the social contacts of individuals,the spread of the disease will be immensely *** this paper,a model for crowd counting in public places of high and low densities is *** model works under various scene conditions and with no prior knowledge.A Deep CNN model(DCNN)is built based on convolutional neural network(CNN)structure with small kernel size and two *** increase the efficiency of the model,a convolutional neural network(CNN)as the front-end and a multi-column layer with Dilated Convolution as the back-end were ***,the proposed method accepts images of arbitrary sizes/scales as inputs from different *** evaluate the proposed model,a dataset was created from images of Saudi people with traditional and non-traditional Saudi *** model was also trained and tested on some existing *** to current counting methods,the results show that the proposed model has significantly improved efficiency and reduced the error *** achieve the lowest MAE by 67%,32%.and 15.63%and lowest MSE by around 47%,15%and 8.1%than M-CNN,Cascaded-MTL,and CSRNet respectively.

关键词： CNN crowd counting COVID19

Enhanced Best Fit Algorithm for Merging Small Files

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Computer Systems Science & Engineering 2023年第7期46卷 913-928页

作者： Adnan ali nada Masood Mirza Mohamad Khairi Ishak School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong TebalPulau Pinang14300Malaysia University College United Arab Emirates UniversityAl AinUAE

In the Big Data era,numerous sources and environments generate massive amounts of *** enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and anticipate decisions for future *** is used to process this kind of *** is known to handle vast volumes of data more efficiently than tiny amounts,which results in inefficiency in the *** study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm(EBFM)that merges files depending on predefined parameters(type and size).Implementing this algorithm will ensure that the maximum amount of the block size and the generated file size will be in the same *** primary goal is to dynamically merge files with the stated criteria based on the file type to guarantee the efficacy and efficiency of the established *** procedure takes place before the files are available for the Hadoop ***,the files generated by the system are named with specific keywords to ensure there is no data loss(file overwrite).The proposed approach guarantees the generation of the fewest possible large files,which reduces the input/output memory burden and corresponds to the Hadoop framework’s *** findings show that the proposed technique enhances the framework’s performance by approximately 64%while comparing all other potential performance-impairing *** proposed approach is implementable in any environment that uses the Hadoop framework,not limited to smart cities,real-time data analysis,etc.

关键词： Big data Hadoop MapReduce small file HDFS

Predicting Violence-Induced Stress in an Arabic Social Media Forum

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Intelligent Automation & Soft Computing 2023年第2期35卷 1423-1439页

作者： Abeer Abdulaziz AlArfaj nada ali Hakami Hanan Ahmed Hosni Mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyJazan UniversityJazanSaudi Arabia

Social Media such as Facebook plays a substantial role in virtual com-munities by sharing ideas and ideologies among different populations over *** interaction analysis aids in deﬁning people’s emotions and aids in assessing public attitudes,towards different issues such as violence against women and *** this paper,we proposed an Arabic language prediction model to identify the issue of Violence-Induced Stress in social *** searched for Arabic posts of many countries through Facebook application programming interface(API).We discovered that the stress state of a battered woman is usually related to her friend’s stress states on *** applied a large real database from Facebook platforms to analytically investigate the correlation of violence-induced stress states and the victim interactions on social *** extracted a set of tex-tual,spatial,and interaction attributes from various ***,we are proposing a hybrid model–an interaction graph model incorporated in a deep learning neural model to leverage post content and interaction data for vio-lence-induced stress *** depict that our proposed hybrid mod-el can enhance the prediction performance by 10%in ***,considering the user interaction information can learn an interesting phenomenon,where,the sparse social interactions of violence-induced stress stressed victims is higher by around 15%percent non-battered users,signifying that the structure of the friends of such victims is less connected than non-stressed users.

关键词： Arabic language analysis violence-induced stress detection hybrid model deep learning

Synthesis of Certain 3-Aminopyrazolo[5,4-b]pyridine and 3,4-Substituted Pyrido[2′,3′：3,4]pyrazolo[5,1-c][1,2,4]triazine Derivatives

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Chinese Journal of Chemistry 2007年第12期25卷 1887-1891页

作者： EL-LOUH, ali Khader Khalil ABUnada, nada Mohamed EL-SHOUBAKI, Mohamed Chemistry Department Faculty of Science Al-Azhar University-Gaza Gaza 76888 Palestine Chemistry Department Faculty of Applied Sciences Al-Aqsa University Gaza Palestine 4051 Israel

2-Thioxo-1,2-dihydropyridine derivatives 2a, 2b were reacted with methyl iodide to give 2-methylthiopyridines 3a, 3b, which were reacted with hydrazine hydrate to produce 3-aminopyrazolo[5,4-b]pyridines 4a, 4b. Compounds 4a, 4b were diazotized to afford the corresponding diazonium salts 5a, 5b, which were reacted with some active methylene compounds 6a-6h to give the corresponding pyrido[2′,3′ ： 3,4]pyrazole[5,1-c][1,2,4]triazines 7-14.

关键词： pyrazolo[3,4-b]pyridine pyrido[2′,3′ : 3,4]pyrazole[5 1-c] [ 1,2,4]triazine 2-arylmethylidene-2-cyanothioacetamine 2-thioxopyridine