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A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT

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Computers, materials & Continua 2023年第3期74卷 6535-6553页

作者： Farah Batool Abdul Rehman Dongsun Kim Assad Abbas Raheel Nawaz tahir mustafa madni COmSATS University Islamabad IslamabadPakistan School of Computer Science and Engineering Kyungpook National UniversityDaegu41566Korea Department of Operations TechnologyEvents and Hospitality ManagementManchester Metropolitan UniversityUnited Kingdom

The authors propose an informed search greedy approach that efficiently identifies the influencer nodes in the social Internet of Things with the ability to provide legitimate ***,the proposed approach minimizes the network size and eliminates undesirable *** that,the proposed approach ranks each of the nodes and prioritizes them to identify an authentic ***,the proposed approach discards the nodes having a rank(α)lesser than 0.5 to reduce the network complexity.αis the variable value represents the rank of each node that varies between 0 to *** with the higher value ofαgets the higher priority and vice *** threshold valueα=0.5 defined by the authors with respect to their network pruning requirements that can be vary with respect to other research ***,the algorithm in the proposed approach traverses the trimmed network to identify the authentic node to obtain the desired *** performance of the proposed method is evaluated in terms of time complexity and accuracy by executing the algorithm on both the original and pruned *** results show that the approach identifies authentic influencers on a resultant network in significantly less time than in the original ***,the accuracy of the proposed approach in identifying the influencer node is significantly higher than that of the original ***,the comparison of the proposed approach with the existing approaches demonstrates its efficiency in terms of time consumption and network traversal through the minimum number of hops.

关键词： Online social network influencer search query-based approach greedy search social internet of things(siot)

Wolbachia pipientis:A potential candidate for combating and eradicating dengue epidemics in Pakistan

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Asian Pacific Journal of Tropical medicine 2015年第12期8卷 963-973页

作者： Uruj tahir Umair Hassan Khan muhammad Saad Zubair Bahar-e-mustafa Department of Environmental Sciences Fatima Jinnah Women University Department of microbiology.University of Agriculture Faisalabad Department of microbiology.Government College University Faisalabad

Dengue virus syndrome is an emerging global health challenge which is endemic in tropical countries like *** recent years dengue incidences have increased considerably in different areas of Pakistan with more sever impacts on urban and peri-urban *** review is an effort to highlight the changing epidemiology of dengue fever,role of Government of Pakistan in disease management and control using preventive and community based approaches in the ***,there is an emphasis on application of Wolbachia as novel,inexpeasive and environmentally benign candidate for control and eradication of dengue transmitting vectors.

关键词： Dengue Pakistan Antiviral agents Chemical methods

A generalisation of the exponential distribution and its applications onmodelling skewed data

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Statistical Theory and Related Fields 2018年第1期2卷 68-79页

作者： muhammad Zubair Ayman Alzaatreh m.H.tahir muhammad mansoor manat mustafa Department of Statistics The Islamia University of BahawalpurBahawalpurPakistan Department of mathematics and Statistics American University of SharjahSharjahUAE Department of Statistics Government S.E CollegeBahawalpurPakistan Department of mathematics Nazarbayev UniversityAstanaKazakhstan

In this paper,a generalisation of the exponential distribution,namely,Weibull exponentiatedexponential(WEE)distribution,is *** shapes of the density function possess *** can accommodate various hazard shapes such as reversed-J,increasing,decreasing,constant and upside-down *** properties of the WEE distribution are studiedincluding shape properties,quantile function,expressions for the moments and incompletemoments,probability weighted moments and Shannon *** obtain the asymptotic distributions for the sample minimum and *** model parameters are estimated bymaximum *** usefulness of the new model is illustrated by means of two real lifetimedata sets.

关键词： Exponentiated-exponential moments order statistic Shannon entropy T-X family Weibull-X family

3D Kronecker Convolutional Feature Pyramid for Brain Tumor Semantic Segmentation in mR Imaging

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Computers, materials & Continua 2023年第9期76卷 2861-2877页

作者： Kainat Nazir tahir mustafa madni Uzair Iqbal Janjua Umer Javed muhammad Attique Khan Usman Tariq Jae-Hyuk Cha medical Imaging and Diagnostics Lab NCAIDepartment of Computer ScienceCOMSATS University IslamabadIslamabad44000Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusWahPakistan Department of Computer Science HITEC UniversityTaxilaPakistan Department of management Information Systems College of Business AdministrationPrince Sattam Bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

Brain tumor significantly impacts the quality of life and changes everything for a patient and their loved *** a brain tumor usually begins with magnetic resonance imaging(mRI).The manual brain tumor diagnosis from the mRO images always requires an expert ***,this process is time-consuming and ***,a computerized technique is required for brain tumor detection in mRI *** the mRI,a novel mechanism of the three-dimensional(3D)Kronecker convolution feature pyramid(KCFP)is used to segment brain tumors,resolving the pixel loss and weak processing of multi-scale lesions.A single dilation rate was replaced with the 3D Kronecker convolution,while local feature learning was performed using the 3D Feature Selection(3DFSC).A 3D KCFP was added at the end of 3DFSC to resolve weak processing of multi-scale lesions,yielding efficient segmentation of brain tumors of different sizes.A 3D connected component analysis with a global threshold was used as a post-processing *** standard multimodal Brain Tumor Segmentation 2020 dataset was used for model *** 3D KCFP model performed exceptionally well compared to other benchmark schemes with a dice similarity coefficient of 0.90,0.80,and 0.84 for the whole tumor,enhancing tumor,and tumor core,***,the proposed model was efficient in brain tumor segmentation,which may facilitate medical practitioners for an appropriate diagnosis for future treatment planning.

关键词： Brain tumor segmentation connect component analysis deep learning kronecker convolution magnetic resonance imaging

Effects of microalgae chlorella species crude extracts on intestinal adaptation in experimental short bowel syndrome

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World Journal of Gastroenterology 2008年第28期14卷 4512-4517页

作者： mustafa Kerem Bulent Salman Hatice Pasaoglu Abdulkadir Bedirli murat Alper Hikmet Katircioglu tahir Atici E Ferda Perin Ebru Ofluoglu General Surgery Department Faculty of MedicineGazi UniversityBesevler 06510AnkaraTurkey Clinic Biochemistry Department Faculty of MedicineGazi UniversityBesevler 06510AnkaraTurkey Pathology Department Diskapi Training and Education HospitalBesevler 06510AnkaraTurkey Biology Department Education FacultyGazi UniversityBesevler 06510AnkaraTurkey medical Genetic Department Faculty of MedicineGazi UniversityBesevler 06510AnkaraTurkey

AIm： To evaluate the effects of chlorella crude extract （CCE） on intestinal adaptation in rats subjected to short bowel syndrome （SBS）. mETHODS： Wistar rats weighing 230-260 g were used in the study. After anesthesia a 75% small bowel resection was performed. Rats were randomized and divided into groups. Control group （n = 10）： where 5% dextrose was given through a gastrostomy tube, Enteral nutrition （EN） group （n = 10）： Isocaloric and isonitrogen EN （Alitraq, Abbott, USA）, study group （n = 10）： CCE was administrated through a gastrostomy tube. Rats were sacrificed on the fifteenth pcstoperative day and blood and tissue samples were taken. Histopathologic evaluation, intestinal mucosal protein and DNA levels, intestinal proliferation and apoptosis were determined in intestinal tissues, and total protein, albumin and citrulline levels in blood were studied. RESULTS： In rats receiving CCE, villus lengthening, crypt depth, mucosal DNA and protein levels, intestinal proliferation, and serum citrulline, protein and albumin levels were found to be significantly higher than those in control group. Apoptosis in CCE treated rats was significantly reduced when compared to EN group rats. CONCLUSION： CCE has beneficial effects on intestinal adaptation in experimental SBS.

关键词： Short-bowel syndrome Intestinal adaptation Chlorella Nutrition microalgae

A Hybrid Attention-Based Residual Unet for Semantic Segmentation of Brain Tumor

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Computers, materials & Continua 2023年第7期76卷 647-664页

作者： Wajiha Rahim Khan tahir mustafa madni Uzair Iqbal Janjua Umer Javed muhammad Attique Khan majed Alhaisoni Usman Tariq Jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusPakistan Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of management Information Systems CoBAPrince Sattam Bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

Segmenting brain tumors in magnetic Resonance Imaging(mRI)volumes is challenging due to their diffuse and irregular ***,2D and 3D deep neural networks have become famous for medical image segmentation because of the availability of labelled ***,3D networks can be computationally expensive and require significant training *** research proposes a 3D deep learning model for brain tumor segmentation that uses lightweight feature extraction modules to improve performance without compromising contextual information or *** proposed model,called Hybrid Attention-Based Residual Unet(HA-RUnet),is based on the Unet architecture and utilizes residual blocks to extract low-and high-level features from mRI *** and Squeeze-Excitation(SE)modules are also integrated at different levels to learn attention-aware features adaptively within local and global receptive *** proposed model was trained on the BraTS-2020 dataset and achieved a dice score of 0.867,0.813,and 0.787,as well as a sensitivity of 0.93,0.88,and 0.83 for Whole Tumor,Tumor Core,and Enhancing Tumor,on test dataset *** results show that the proposed HA-RUnet model outperforms the ResUnet and AResUnet base models while having a smaller number of parameters than other state-of-the-art ***,the proposed HA-RUnet model can improve brain tumor segmentation accuracy and facilitate appropriate diagnosis and treatment planning for medical practitioners.

关键词： mRI volumes residual Unet BraTs-2020 squeeze-excitation(SE)

Rough Sets Hybridization with mayfly Optimization for Dimensionality Reduction

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Computers, materials & Continua 2022年第10期73卷 1087-1108页

作者： Ahmad Taher Azar mustafa Samy Elgendy mustafa Abdul Salam Khaled m.Fouad Faculty of Computers and Artificial Intelligence Benha UniversityBenha13518Egypt College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Computer Studies Arab Open UniversityCairoEgypt Faculty of Information Technology and Computer Science Nile UniversityShikh ZaidEgypt

Big data is a vast amount of structured and unstructured data that must be dealt with on a regular *** reduction is the process of converting a huge set of data into data with tiny dimensions so that equal information may be expressed *** tactics are frequently utilized to improve classification or regression challenges while dealing with machine learning *** achieve dimensionality reduction for huge data sets,this paper offers a hybrid particle swarm optimization-rough set PSO-RS and mayfly algorithm-rough set mA-RS.A novel hybrid strategy based on the mayfly algorithm(mA)and the rough set(RS)is proposed in *** performance of the novel hybrid algorithm mA-RS is evaluated by solving six different data sets from the *** simulation results and comparison with common reduction methods demonstrate the proposed mARS algorithm’s capacity to handle a wide range of data ***,the rough set approach,as well as the hybrid optimization techniques PSO-RS and mARS,were applied to deal with the massive data ***-hybrid RS’s method beats other classic dimensionality reduction techniques,according to the experimental results and statistical testing studies.

关键词： Dimensionality reduction metaheuristics optimization algorithm mayfly particle swarm optimizer feature selection

ELECTRORHEOLOGICAL PROPERTIES OF POLYANILINE/PUmICE COmPOSITE SUSPENSIONS

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Chinese Journal of Polymer Science 2007年第4期25卷 347-355页

作者： mustafa Yavuz Department of Chemistry Faculty of Arts and ScienceSüleyman Demirel University32260 IspartaTurkey

Electrorheological （ER） properties of polyaniline （PAni）, pumice and polyaniline/pumice composites （PAPC） were investigated. Polyaniline and PAni/pumice composite were prepared by oxidative polymerization. PAni/pumice particlesbased ER suspensions were prepared in silicone oil （SO）, and their ER behavior was investigated as a function of shear rate, electric field strength, concentration and temperature. Sedimentation stabilities of suspensions were determined. It has been found that ER activity of all the suspensions increases with increasing electric field strength, concentration and decreasing shear rate. It has shown that the suspensions have a typical shear thinning non-Newtonian viscoelastic behavior. Yield stress of composite suspensions increased linearly with increasing applied electric field strength and with concentrations of the particles. The effect of high temperature on ER activity of purrfice/silicone oil systems was also investigated.

关键词： Electrorheology Yield stress Pumice Composite Suspension

Effect of Lorentz forces on forced-convection nanofluid flow over a stretched surface

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Particuology 2016年第3期14卷 108-113页

作者： mohsen Sheikholeslami m.T. mustafa Davood Domiri Ganji Department of mechanical Engineering Babol University of Technology Babol Islamic Republic oflran Department of mathematics Statistics and Physics Qatar University Doha 2713 Qatar

magnetic nanofiuid hydrothermal analysis over a plate is studied that includes consideration of thermal radiation. The Runge-Kutta （RK4） method is utilized to get solution of ODEs which are obtained from similarity solution. In considering the impacts of Brownian motion, we applied Koo-Kleinstreuer-Li cor- relation to simulate the properties of CuO-water. The influence is discussed of important parameters such as the temperature index, magnetic, radiation, and velocity ratio parameters and volume fraction of nanoparticle on hydrothermal behavior. Results illustrate that the coefficient of skin friction enhances with enhancing magnetic parameter while reduces with enhancing velocity ratio parameter. Also the Nusselt number was found to directly depend on the velocity ratio and temperature index parameters but has an inverse dependence on the magnetic and radiation parameters.

关键词： Nanofluid Brownian motion Thermal radiation magnetohydrodynamic Stretching sheet