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Cartesian Product Based Transfer Learning Implementation for Brain Tumor Classification

Computers, Materials & Continua 2022年第11期73卷 4369-4392页

作者： Irfan Ahmed Usmani muhammad tahir Qadri Razia Zia Asif Aziz Farheen Saeed Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Department of Computer Science Bahria University Karachi CampusKarachi75260Pakistan Christus Trinity Clinic TexasUSA

Knowledge-based transfer learning techniques have shown good performance for brain tumor classification,especially with small ***,to obtain an optimized model for targeted brain tumor classification,it is challenging to select a pre-trained deep learning(DL)model,optimal values of hyperparameters,and optimization algorithm(solver).This paper first presents a brief review of recent literature related to brain tumor ***,a robust framework for implementing the transfer learning technique is *** the proposed framework,a Cartesian product matrix is generated to determine the optimal values of the two important hyperparameters:batch size and learning *** extensive exercise consisting of 435 simulations for 11 state-of-the-art pre-trained DL models was performed using 16 paired hyperparameters from the Cartesian product matrix to input the model with the three most popular solvers(stochastic gradient descent with momentum(SGDM),adaptive moment estimation(ADAM),and root mean squared propagation(RMSProp)).The 16 pairs were formed using individual hyperparameter values taken from literature,which generally addressed only one hyperparameter for optimization,rather than making a grid for a particular *** proposed framework was assessed using a multi-class publicly available dataset consisting of glioma,meningioma,and pituitary *** assessment shows that ResNet18 outperforms all other models in terms of accuracy,precision,specificity,and recall(sensitivity).The results are also compared with existing state-of-the-art research work that used the same *** comparison was mainly based on performance metric“accuracy”with support of three other parameters“precision,”“recall,”and“specificity.”The comparison shows that the transfer learning technique,implemented through our proposed framework for brain tumor classification,outperformed all existing *** the best of our knowledge,the proposed framework is a

关键词： Deep transfer learning Cartesian product hyperparameter optimization magnetic resonance imaging(MRI) brain tumor classification

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Biomimetic brain-like nanostructures for solid polymer electrolytes with fast ion transport

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Science China Materials 2022年第6期65卷 1476-1484页

作者： Ahmed Eissa Abdelmaoula Lulu Du Lin Xu Yu Cheng Amir AMahdy muhammad tahir Ziang Liu Liqiang Mai State Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of Materials Science and EngineeringWuhan University of TechnologyWuhan 430070China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Xianhu Hydrogen ValleyFoshan 528200China Mining and Metallurgical Department Faculty of EngineeringAl-Azhar UniversityCairo 11884Egypt

The intrinsic drawbacks of electrolytes and the growth of lithium dendrites limit the development of commercial lithium *** address the aforementioned challenges,a novel biomimetic brain-like nanostructure(BBLN)solid polymer electrolyte was created by manipulating the shape of the incorporated *** designed BBLN solid polymer electrolyte was created by incorporating spherical core-shell(UIO-66@67)fillers into polymer electrolyte,which is significantly different from traditional polymer-based composite ***-66@67 spherical nanoparticles are highly favorable to eliminating polymer electrolyte stress and deformation during solidification,indicating a great potential for fabricating highly uniform BBLN solid polymer electrolytes with a substantial number of continuous ***,spherical nanoparticles can significantly reduce the crystalline structure of polymer electrolytes,improving polymer chain segmental movement and providing continuous pathways for rapid ion *** a result,BBLN solid polymer electrolyte shows excellent ionic conductivity(9.2×10^(−4)S cm^(−1)),a high lithium transference number(0.74),and outstanding cycle stability against lithium electrodes over 6500 h at room *** concept of biomimetic brain-like nanostructures in this work demonstrates a novel strategy to enhance ion transport in polymerbased electrolytes for solid-state batteries.

关键词： brain structure spherical nanoparticles continuous interphase nanophase separation MOF-in-MOF

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Discovery of human coronaviruses pan-papain-like protease inhibitors using computational approaches

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Journal of Pharmaceutical Analysis 2020年第6期10卷 546-559页

作者： Mubarak A.Alamri muhammad tahir ul Qamar muhammad Usman Mirza Safar M.Alqahtani Matheus Froeyen Ling-Ling Chen Department of Pharmaceutical Chemistry College of PharmacyPrince Sattam Bin Abdulaziz UniversityAlkarjSaudi Arabia College of Life Science and Technology Guangxi UniversityNanningChina Department of Pharmaceutical and Pharmacological Sciences Rega Institute for Medical ResearchMedicinal ChemistryUniversity of LeuvenB-3000LeuvenBelgium Hubei Key Laboratory of Agricultural Bioinformatics College of InformaticsHuazhong Agricultural UniversityWuhan430070China

The papain-like protease(PLpro)is vital for the replication of coronaviruses(Co Vs),as well as for escaping innate-immune responses of the ***,it has emerged as an attractive antiviral *** this study,computational approaches were employed,mainly the structure-based virtual screening coupled with all-atom molecular dynamics(MD)simulations to computationally identify specific inhibitors of severe acute respiratory syndrome coronavirus 2(SARS-Co V-2)PLpro,which can be further developed as potential pan-PLprobased broad-spectrum antiviral *** sequence,structure,and functional conserveness of most deadly human Co Vs PLprowere explored,and it was revealed that functionally important catalytic triad residues are well conserved among SARS-Co V,SARS-Co V-2,and middle east respiratory syndrome coronavirus(MERS-Co V).The subsequent screening of a focused protease inhibitors database composed of^7,000 compounds resulted in the identification of three candidate compounds,ADM13083841,LMG15521745,and *** three compounds established conserved interactions which were further explored through MD simulations,free energy calculations,and residual energy contribution estimated by MM-PB(GB)SA *** these compounds showed stable conformation and interacted well with the active residues of SARS-Co V-2 PLpro,and showed consistent interaction profile with SARS-Co V PLproand MERS-Co V PLproas ***,the reported SARS-Co V-2 PLprospecific compounds could serve as seeds for developing potent pan-PLprobased broad-spectrum antiviral drugs against deadly human ***,the presented information related to binding site residual energy contribution could lead to further optimization of these compounds.

关键词： COVID-19 MERS-CoV Molecular dynamic simulation Pan-inhibitors Papain-like protease SARS-CoV SARS-CoV-2 Virtual screening

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Synthesis, Crystal Structure and Antimicrobial Activity of Ethyl 2-(1-cyclohexyl-4-phenyl-1H-1,2,3-triazol-5-yl)-2-oxoacetate

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Chinese Journal of Structural Chemistry 2014年第11期33卷 1666-1672页

作者： muhammad Naeem Ahmed SHAHID Hameed KHAWAJA Ansar Yasin IFZAN Arshad IHSAN-ul-Haq SAFEENA Zafar muhammad Nawaz tahir Department of Chemistry The University of Azad Jammu and Kashmir Department of Chemistry Quaid-i-Azam University Department of Pharmacy Faculty of Biological SciencesQuaid-i-Azam University University of Sargodha Department of Physics

A novel 1,4,5-trisubstituted 1,2,3-triazole（C18H21N3O3） was synthesized by a one-pot three component reaction of 1-azidocyclohexane, 1-copper（I） phenylethyne and ethoxalyl chloride at room temperature. The molecular structure was determined by single-crystal X-ray analysis. The compound crystallizes in the monoclinic system, space group P21/n with a = 12.8167（9）, b = 8.0966（6）, c = 16.7079（9） A, β = 98.716（2）°, Z = 4 and V = 1713.8（2）. In the crystal, the molecules are related by inversion and paired into dimers via C–H…O and C–O…C interactions involving（oxo） acetate groups. Furthermore, X-ray analysis results are compared with the optimized structure computed by using B3 LYP method with 6-311 G basis set. The calculated results showed that optimized geometry can well reproduce the crystal structure parameters. The bioassay results indicate that the compound has good antibacterial and antifungal activities.

关键词： click chemistry triazole cyclohexyl oxoacetate XRD antimicrobial

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Sero-Epidemiological Survey of Crimean-Congo Hemorrhagic Fever among the Human Population of the Punjab Province in Pakistan

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Virologica Sinica 2020年第4期35卷 486-489页

作者： muhammad Furqan Shahid muhammad Zubair Shabbir Kamran Ashraf Muzaffar Ali Saima Yaqub Aziz Ul-Rahman Nageen Sardar Nadia Mukhtar Zarfishan tahir tahir Yaqub Department of Microbiology University of Veterinary and Animal SciencesLahore 54600Pakistan Quality Operation Laboratory University of Veterinary and Animal SciencesLahore 54600Pakistan Department of Parasitology University of Veterinary and Animal SciencesLahore 54600Pakistan Institute of Public Health Lahore 54600Pakistan

Dear Editor,Crimean-Congo hemorrhagic fever(CCHF),caused by the CCHF virus(CCHFV),is a tick-borne zoonotic infection characterized by myalgia,high-grade fever(>38℃),headache,nausea,bleeding from the body cavities,and in 10%–50%of cases,results in death(Swanepoel et al.1989).As CCHFV belongs to the Nairoviridae family,the virus can be transmitted to humans through the bite of infected ticks or by contact with the tissues or blood of infected animals(Bente et al.2013).

关键词： Population belongs Human

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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

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Quantum Particle Swarm Optimization Based Convolutional Neural Network for Handwritten Script Recognition

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Computers, Materials & Continua 2022年第6期71卷 5855-5873页

作者： Reya Sharma Baijnath Kaushik Naveen Kumar Gondhi muhammad tahir Mohammad Khalid Imam Rahmani School of Computer Science and Engineering SMVDUJ&KIndia College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia

Even though several advances have been made in recent years,handwritten script recognition is still a challenging task in the pattern recognition *** field has gained much interest lately due to its diverse application ***,different methods are available for automatic script *** most of the reported script recognition techniques,deep neural networks have achieved impressive results and outperformed the classical machine learning ***,the process of designing such networks right from scratch intuitively appears to incur a significant amount of trial and error,which renders them *** approach often requires manual intervention with domain expertise which consumes substantial time and computational *** alleviate this shortcoming,this paper proposes a new neural architecture search approach based on meta-heuristic quantum particle swarm optimization(QPSO),which is capable of automatically evolving the meaningful convolutional neural network(CNN)*** computational experiments have been conducted on eight different datasets belonging to three popular Indic scripts,namely Bangla,Devanagari,and Dogri,consisting of handwritten characters and ***,the results imply that the proposed QPSO-CNN algorithm outperforms the classical and state-of-the-art methods with faster prediction and higher accuracy.

关键词： Neuro-evolution quantum particle swarm optimization deep learning convolutional neural networks handwriting recognition

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Properties of Certain Subclasses of Analytic Functions Involving q-Poisson Distribution

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1465-1477页

作者： Bilal Khan Zhi-Guo Liu Nazar Khan Aftab Hussain Nasir Khan muhammad tahir School of Mathematical Sciences and Shanghai Key Laboratory of PMMP East China Normal UniversityShanghai200241China Department of Mathematics Abbottabad University of Science and TechnologyAbbottabad22010Pakistan Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics FATA UniversityAkhorwal(Darra Adam Khel)FR Kohat26000Pakistan

By using the basic(or q)-Calculus many subclasses of analytic and univalent functions have been generalized and studied from different viewpoints and *** this paper,we aim to define certain new subclasses of an analytic *** then give necessary and sufficient conditions for each of the defined function *** also study necessary and sufficient conditions for a function whose coefficients are probabilities of q-Poisson *** validate our results,some known consequences are also given in the form of Remarks and Corollaries.

关键词： Analytic function q-difference operator sufficient condition q-Poisson distribution

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Genome-wide association analysis for stripe rust resistance in spring wheat(Triticum aestivum L.) germplasm

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Journal of Integrative Agriculture 2020年第8期19卷 2035-2043页

作者： Sher muhammad muhammad SAJJAD Sultan Habibullah KHAN muhammad SHAHID muhammad ZUBAIR Faisal Saeed AWAN Azeem iqbal KHAN muhammad Salman MUBARAK Ayesha tahir muhammad UMER Rumana KEYANI muhammad InamAFZAL Irfan MANZOOR Javed Iqbal WATTOO Aziz-ur REHMAN Department of Bioinformatics and Biotechnology GC UniversityFaisalabad 38090Pakistan Department of Biosciences COMSATS University Islamabad(CUI)Islamabad 45550Pakistan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of AgricultureFaisalabad 38000Pakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabad 38000Pakistan Department of Biotechnology Faculty of Life SciencesUniversity of Central PunjabLahore 54000Pakistan Wheat Research Institute Ayub Agricultural Research Institute(AARI)Faisalabad 38950Pakistan

Stripe rust is a continuous threat to wheat crop all over the *** causes considerable yield losses in wheat crop every *** deployment of adult plant resistance(APR)genes in newly developing wheat cultivars is the most judicious strategy to combat this ***,we dissected the genetics underpinning stripe rust resistance in Pakistani wheat *** association panel of 94 spring wheat genotypes was phenotyped for two years to score the infestation of stripe rust on each accession and was scanned with 203 polymorphic *** on D’measure,linkage disequilibrium(LD)exhibited between loci distant up to 45 c ***-trait associations(MTAs)were determined using mixed linear model(MLM).Total 31 quantitative trait loci(QTLs)were observed on all 21 wheat *** QTLs were newly discovered as well as 19 QTLs and 35 previously reported Yr genes were validated in Pakistani wheat *** major QTLs were ***.2 AL and ***.3 BS(PVE,11.9%).Dissection of genes from the newly observed QTLs can provide new APR genes to improve genetic resources for APR resistance in wheat crop.

关键词： wheat Puccinia striiformis LD GWAS MTA PCoA

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Nicotine induced hepatotoxicity and its prevention with date palm pit powder

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应用与环境生物学报 2015年第3期21卷 489-493页

作者： Bushra Munir Mohammad tahir Sobia Munir muhammad Nawaz Chaudhry Abdul Qadir College of Earth and Environmental Sciences University of the Punjab University of Health Sciences Khayaban-e-Jamia Punjab

Cigarette smoking is common in societies worldwide and has been identifi ed as injurious to human health. Nicotine is the most abundant component in the cigarette smoke. It is fi rst metabolized in the liver. The natural diet contains a variety of compounds, such as date palm(Phoenix dactylifera L.). It exhibits protective effect against different toxins. The aims of present study were to investigate the damaging effects of nicotine on the liver and the preventive role of date palm against such damage. Date palm pit powder was used to study its protective effect on nicotine induced hepatotoxicity. Three groups of adult male albino mice were used, each containing eight animals. Group A served as a control; Group B was used as an experimental group treated with nicotine(0.3 mg/kg) intraperitoneally for forty-fi ve days; Group C received nicotine(0.3 mg/kg) intraperitoneally along with date palm pit powder(500 mg/kg) orally for forty-five days. Histopathological examination revealed that the general architecture was damaged with increase in size of hepatocytes, central vein and number of fat vacuoles and periportal infiltration of lymphocytes. The nicotine treated mice showed decreased level of cytoplasmic vacuolization, necrosis and infl ammation. Date palm pit powder administration to nicotine-treated mice showed reversion of the damaged feature to nearly normal. These results along with previous study suggest that date palm pit powder is useful in combating nicotine induced hepatotoxicity.

关键词：环境生物学应用 ANOVA

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