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Brain Tumor Segmentation using Multi-View Attention based Ensemble Network

Computers, Materials & Continua 2022年第9期72卷 5793-5806页

作者： Noreen Mushtaq Arfat Ahmad Khan Faizan Ahmed Khan muhammad Junaid Ali Malik muhammad Ali shahid Chitapong Wechtaisong Peerapong Uthansakul COMSATS University Islamabad Islamabad Campus45550Pakistan Suranaree University of Technology Nakhon Ratchasima30000Thailand COMSATS University Islamabad Lahore Campus54000Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan COMSATS University Islamabad Vehari Campus61100Pakistan

Astrocytoma IV or glioblastoma is one of the fatal and dangerous types of brain *** detection of brain tumor increases the survival rate and helps in reducing the fatality *** imaging modalities have been used for diagnosing by expert radiologists,and Medical Resonance Image(MRI)is considered a better option for detecting brain tumors as MRI is a non-invasive technique and provides better visualization of the brain *** of the challenging issues is to identify the tumorous region from the MRI scans *** segmentation is performed by medical experts,which is a time-consuming task and got chances of *** overcome this issue,automatic segmentation is performed for quick and accurate *** proposed approach is to capture inter-slice information and reduce the *** learning-based brain tumor segmentation techniques proved best among available segmentation ***,deep learning may miss some preliminary info while using MRI images during *** MRI volumes are volumetric,3D U-Net-based models are used but *** of multiple 2D U-Net predictions in axial,sagittal,and coronal views help to capture inter-slice *** approach may reduce the system ***,the Conditional Random Fields(CRF)reduce the predictions’false positives and improve the segmentation *** model is applied to Brain Tumor Segmentation(BraTS)2019 dataset,and cross-validation is performed to check the accuracy of *** proposed approach achieves Dice Similarity Score(DSC)of 0.77 on Enhancing Tumor(ET),0.90 on Whole Tumor(WT),and 0.84 on Tumor Core(TC)with reduced Hausdorff Distance(HD)of 3.05 on ET,5.12 on WT and 3.89 on TC.

关键词： Brain tumor deep learning detection conditional random field segmentation

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Biochemical association between the prevalence of genetic polymorphism and myocardial infarction

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BIOCELL 2023年第3期47卷 473-484页

作者： MOMINA shahid KANWAL REHMAN muhammad SAJID HAMID AKASH SHALEEM SUHAIL SUMBAL RASHEED muhammad IMRAN MOHAMMED AASSIRI Department of Pharmaceutical Chemistry Government College UniversityFaisalabad38000Pakistan Department of Pharmacy The Women UniversityMultan60000Pakistan Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbha62413Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62413Saudi Arabia

Genetic polymorphism has a vital role in the pathogenesis and development of myocardial infarction(MI).Single nucleotide polymorphism at any one of the amino acid sequences can result in a diseased state.A single gene can exhibit genetic polymorphism at more than one position giving rise to different *** polymorphism of angiotensinogen(AGT)M235T,AGT T174M,and angiotensin-1-converting enzyme(ACE)I/D,endothelial nitric oxide synthase(eNOS),and methylenetetrahydrofolate reductase(MTHFR)can be a risk factor for ***,it is important to study the prevalence of genetic polymorphisms of these genes among different *** is influenced by genetic polymorphism of various genes,including AGT,ACE,eNOS,MTHFR,***,the association of genetic polymorphism of these genes varies among different populations,but different ethnic groups could show contradictory *** genes have shown a positive association with risks of MI in some populations,whereas the results have not been consistent with every ethnic *** this article,we have summarized the genetic variations in the aforementioned genes and their association with MI.

关键词： Endothelial nitric oxide synthase Methylenetetrahydrofolate reductase AGT M235T AGT T174M

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A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

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Computers, Materials & Continua 2023年第5期75卷 2741-2757页

作者： muhammad Usman Sana Zhanli Li Tayybah Kiren Hannan Bin Liaqat shahid Naseem Atif Saeed College of Computer Science and Technology Xi’an University of Science and TechnologyXi’anShaanxi710054China Department of Computer Science(RCET Campus) University of Engineering and TechnologyLahore39161Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54700Pakistan Department of Computer Science COMSATS UniversityIslamabadLahore54700Pakistan

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being *** cloud computation,data processing,storage,and transmission can be done through laptops andmobile *** Storing in cloud facilities is expanding each day and data is the most significant asset of *** important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s *** have to be dependent on cloud service providers for assurance of the platform’s *** security and privacy issues reduce the progression of cloud computing and add ***;most of the data that is stored on cloud servers is in the form of images and photographs,which is a very confidential form of data that requires secured *** this research work,a public key cryptosystem is being implemented to store,retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman(RSA)algorithm for the encryption and decryption of *** implementation of a modified RSA algorithm results guaranteed the security of data in the cloud *** enhance the user data security level,a neural network is used for user authentication and ***;the proposed technique develops the performance of detection as a loss function of the bounding *** Faster Region-Based Convolutional Neural Network(Faster R-CNN)gets trained on images to identify authorized users with an accuracy of 99.9%on training.

关键词： Cloud computing data security RSA algorithm Faster R-CNN

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Introgression of Drought Tolerance into Elite Basmati Rice Variety through Marker-Assisted Backcrossing

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Phyton-International Journal of Experimental Botany 2023年第5期92卷 1421-1438页

作者： muhammad Sabar Shahzad Amir Naveed shahid Masood Shah Abdul Rehman Khan muhammad Musaddiq Shah Tahir Awan muhammad Ramzan Khan Zaheer Abbas muhammad Arif National Institute for Biotechnology and Genetic Engineering(NIBGE) Faisalabad38000Pakistan Rice Research Institute Kala Shah Kaku39020Pakistan National Institute for Genomics and Advanced Biotechnology(NIGAB) Islamabad44000Pakistan Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing100081China Department of Biotechnology COMSATS University IslamabadAbbottabad22020Pakistan Department of Biotechnology University of SialkotSialkot51310Pakistan Pakistan Institute of Engineering and Applied Sciences Islamabad44000Pakistan

Drought is one of the major abiotic threat to rice production in the context of climate *** Basmati is an elite,fine grain basmati rice variety grown in Punjab,*** to drought sensitive in nature,its yield has been facing an alarming situation in production because of gradual decrease in irrigated water for a couple of *** reported novel QTLs for drought tolerance were selected for incorporation into Super Basmati by employing marker assisted selection ***55419-04 with novel QTLs was used as a donor *** selection was performed by applying PCR based QTL linked SSR markers followed by recombinant selection by using 2-4 flanking *** selection was exercised by using polymorphic SSR markers for maximum genome recovery of the Super *** individuals homozygous at the target QTLs and with maximum background of Super Basmati at the rest of the non-target genome was selected for evaluation of drought *** drought stress conditions,the yields of all introgressed lines(ILs)were 44.2%-125.7%higher than recurrent *** superior ILs that are drought tolerant and very similar to Super Basmati in terms of agronomic and grain quality traits are marked for release as drought-tolerant varieties in arid regions or for use in breeding programs of high grain quality and drought-tolerant parents.

关键词： Drought QTL SSR markers basmati rice drought marker assisted breeding

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Basal Application of Zinc to Improve Mung Bean Yield and Zinc-Grains-Biofortfication

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Phyton-International Journal of Experimental Botany 2020年第1期89卷 87-96页

作者： Aroosa Kanwal muhammad Bismillah Khan Mubshar Hussain muhammad naeem muhammad shahid Rizwan muhammad Zafar-ul-Hye Department of Agronomy Bahauddin Zakariya UniversityMultan66000Pakistan Agriculture Discipline College of Science HealthEngineering and EducationMurdoch UniversityMurdochWA6150Australia Cholistan Institute of Desert Studies The Islamia University of Bahawalpur63100Pakistan Department of Soil Science Bahauddin Zakariya UniversityMultan66000Pakistan

Worldwide,the dietary deficiency of zinc(Zn)is prevailing in almost all arid and semi-arid *** deficiency is not only the major constraint of lower yield,but also dietary Zn deficiency in cereals grains may cause increasing malnutrition and chronic health problems in *** application of Zn through basal soil nutrition might be a useful option to recover Zn deficiency in mung ***,field study was conducted to optimize the optimum level and method of Zn nutrition to enhance crop yield and Zn biofortification of mung bean through basal *** was applied at 0,5,10 and 15 kg/ha as basal application and side dressing,and in combination(50%basal application+50%side dressing).The results highlighted that Zn nutrition prominently improved the mung bean yield as compared with control(no Zn applied).The maximum grains yield and Zn concentration in grains were obtained where Zn was applied at 15 kg/ha as basal application as compared with all other *** improvement in grain yield was due to significant increase in more number of pods and grain size owing to well-developed root system,improved leaf area index and high chlorophyll contents in mung beans *** all applied Zn nutrition’s the basal application of Zn(15 kg/ha)was a viable option to get higher yield and Zn biofortification of mung bean.

关键词： Mung bean zinc biofortification basal application soil dressing

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Vibration characteristics of FGM circular cylindrical shells filled with fluid using wave propagation approach

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Applied Mathematics and Mechanics(English Edition) 2009年第11期30卷 1393-1404页

作者： Zafar Iqbal muhammad Nawaz naeem Nazra Sultana shahid Hussain Arshad Abdul Ghafar Shah Department of Mathematics University of Sargodha Department of Mathematics G. C. University Faisalabad Department of Mathematics University of Sargodha Department of Mathematics The Islamia University of Bahawalpur

The vibration characteristics of a functionally graded material circular cylindrical shell filled with fluid are examined with a wave propagation approach. The shell is filled with an incompressible non-viscous fluid. Axial modal dependence is approximated by exponential functions. A theoretical study of shell vibration frequencies is analyzed for simply supported-simply supported, clamped-simply supported, and clamped-clamped boundary conditions with the fluid effect. The validity and the accuracy of the present method are confirmed by comparing the present results with those available in the literature. Good agreement is observed between the two sets of results.

关键词： functionally graded material Love's shell theory cylindrical shell volumefraction law natural frequency wave propagation

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Transcranial magnetic stimulation in animal models of neurodegeneration

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Neural Regeneration Research 2022年第2期17卷 251-265页

作者： Mohammad Uzair Turki Abualait muhammad Arshad Woo-Kyoung Yoo Ali Mir Reem Fahd Bunyan shahid Bashir Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University IslamabadPakistan College of Applied Medical Sciences Imam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Department of Physical Medicine and Rehabilitation Hallym University College of MedicineAnyangSouth Korea Hallym Institute for Translational Genomics&Bioinformatics Hallym University College of MedicineAnyangSouth Korea Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

Brain stimulation techniques offer powerful means of modulating the physiology of specific neural structures. In recent years, non-invasive brain stimulation techniques, such as transcranial magnetic stimulation(TMS) and transcranial direct current stimulation, have emerged as therapeutic tools for neurology and neuroscience. However, the possible repercussions of these techniques remain unclear, and there are few reports on the incisive recovery mechanisms through brain stimulation. Although several studies have recommended the use of non-invasive brain stimulation in clinical neuroscience, with a special emphasis on TMS, the suggested mechanisms of action have not been confirmed directly at the neural level. Insights into the neural mechanisms of non-invasive brain stimulation would unveil the strategies necessary to enhance the safety and efficacy of this progressive approach. Therefore, animal studies investigating the mechanisms of TMSinduced recovery at the neural level are crucial for the elaboration of non-invasive brain stimulation. Translational research done using animal models has several advantages and is able to investigate knowledge gaps by directly targeting neuronal levels. In this review, we have discussed the role of TMS in different animal models, the impact of animal studies on various disease states, and the findings regarding brain function of animal models after TMS in pharmacology research.

关键词： Alzheimer's disease depression glial cells neurorehabilitation Parkinson's disease repetitive transcranial magnetic stimulation transcranial direct current stimulation transcranial magnetic stimulation

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Defending Adversarial Examples by a Clipped Residual U-Net Model

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Intelligent Automation & Soft Computing 2023年第2期35卷 2237-2256页

作者： Kazim Ali Adnan N.Qureshi muhammad shahid Bhatti Abid Sohail Mohammad Hijji Department of Computer Science Faculty of Information TechnologyUniversity of Central Punjab Lahore54000Pakistan Department of Computer Science COMSAT University IslamabadLahore CampusLahore54000Pakistan Faculty of Computers and Information Technology Computer Science DepartmentUniversity of TabukTabuk47711Saudi Arabia

Deep learning-based systems have succeeded in many computer vision ***,it is found that the latest study indicates that these systems are in danger in the presence of adversarial *** attacks can quickly spoil deep learning models,e.g.,different convolutional neural networks(CNNs),used in various computer vision tasks from image classiﬁcation to object *** adversarial examples are carefully designed by injecting a slight perturbation into the clean *** proposed CRU-Net defense model is inspired by state-of-the-art defense mechanisms such as MagNet defense,Generative Adversarial Net-work Defense,Deep Regret Analytic Generative Adversarial Networks Defense,Deep Denoising Sparse Autoencoder Defense,and Condtional Generattive Adversarial Network *** have experimentally proved that our approach is better than previous defensive *** proposed CRU-Net model maps the adversarial image examples into clean images by eliminating the adversarial *** proposed defensive approach is based on residual and U-Net *** experiments are done on the datasets MNIST and CIFAR10 to prove that our proposed CRU-Net defense model prevents adversarial example attacks in WhiteBox and BlackBox settings and improves the robustness of the deep learning algorithms especially in the computer visionﬁ*** have also reported similarity(SSIM and PSNR)between the original and restored clean image examples by the proposed CRU-Net defense model.

关键词： Adversarial examples adversarial attacks defense method residual learning u-net cgan cru-et model

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Liquidity connectedness in cryptocurrency market

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Financial Innovation 2022年第1期8卷 81-105页

作者： Mudassar Hasan muhammad Abubakr naeem muhammad Arif Syed Jawad Hussain Shahzad Xuan Vinh Vo Lahore Business School The University of LahoreLahorePakistan Smurfit Graduate School of Business University Col-lege DublinDublinIreland Institute of Business Research University of Economics Ho Chi Minh CityHo Chi Minh CityVietnam Department of Business Administration Shaheed Benazir Bhutto UniversityShaheed BenazirabadPakistan Montpellier Business School MontpellierFrance South Ural State University ChelyabinskRussian Federation Institute of Business Research and CFVG University of Economics Ho Chi Minh CityHo Chi Minh CityVietnam

We examine the dynamics of liquidity connectedness in the cryptocurrency *** use the connectedness models of Diebold and Yilmaz(Int J Forecast 28(1):57–66,2012)and Baruník and Křehlík(J Financ Econom 16(2):271–296,2018)on a sample of six major cryptocurrencies,namely,Bitcoin(BTC),Litecoin(LTC),Ethereum(ETH),Ripple(XRP),Monero(XMR),and *** static analysis reveals a moderate liquidity connectedness among our sample cryptocurrencies,whereas BTC and LTC play a significant role in connectedness magnitude.A distinct liquidity cluster is observed for BTC,LTC,and XRP,and ETH,XMR,and Dash also form another distinct liquidity *** frequency domain analysis reveals that liquidity connectedness is more pronounced in the short-run time horizon than the medium-and long-run time *** the short run,BTC,LTC,and XRP are the leading contributor to liquidity shocks,whereas,in the long run,ETH assumes this *** with the medium term,a tight liquidity clustering is found in the short and long *** time-varying analysis indicates that liquidity connectedness in the cryptocurrency market increases over time,pointing to the possible effect of rising demand and higher acceptability for this unique ***,more pronounced liquidity connectedness patterns are observed over the short and long run,reinforcing that liquidity connectedness in the cryptocurrency market is a phenomenon dependent on the time–frequency connectedness.

关键词： Liquidity Time-frequency connectedness Cryptocurrencies

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Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications

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Digital Communications and Networks 2023年第2期9卷 367-382页

作者： Qusay M.Salih Md Arafatur Rahman A.Taufiq Asyhari muhammad Kamran naeem Mohammad Patwary Ryan Alturki Mohammed Abdulaziz Ikram Faculty of Computing Universiti Malaysia Pahang26300GambangPahangMalaysia School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonUK Data Science Program Monash UniversityIndonesiaand Birmingham City UniversityB47XGUK Department of Information Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Computer Science Department Al Jumoum University CollegeUmm Al-Qura UniversitySaudi Arabia

Cognitive Radio Networks(CRNs)have become a successful platform in recent years for a diverse range of future systems,in particularly,industrial internet of things(IIoT)*** order to provide an efficient connection among IIoT devices,CRNs enhance spectrum utilization by using licensed ***,the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel ***,the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User(PU)activity and create a robust routing *** study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT ***,a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method,namely,Channel Availability ***,a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation *** protocol combines lower layer(Physical layer and Data Link layer)sensing that is derived from the channel estimation ***,it periodically updates and stores the routing table for optimal route ***,in order to achieve higher throughput and lower delay,a new routing metric is *** evaluate the performance of the proposed protocol,network simulations have been conducted and also compared to the widely used routing protocols,as a *** simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio(with an improved margin of around 5–20%approximately)under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks(MCRNs).Moreover,the cross-layer routing protocol successfully achiev

关键词： Channel selection Cross-layer design Mobile cognitive radio networks Routing protocol IIoT applications

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