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Evolutionary Safe Padé Approximation Scheme for Dynamical Study of Nonlinear Cervical Human Papilloma Virus Infection Model

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2275-2296页

作者： Javaid Ali Armando Ciancio Kashif Ali Khan Nauman Raza Haci Mehmet Baskonus muhammad Luqman zafar-ullah Khan Department of Mathematics Govt.Graduate College TownshipLahore54770Pakistan Universitàdegli Studi di Messina Dipartimento di Scienze BiomedicheOdontoiatriche e delle Immagini Morfologiche e FunzionaliMessina98122Italy Department of Mathematics University of Engineering and TechnologyLahore54890Pakistan Department of Mathematics University of the PunjabLahore54590Pakistan Mathematics Research Center Near East University TRNCMersin 10Nicosia99138Turkey Department of Mathematics and Science Education Faculty of EducationHarran UniversitySanliurfa63190Turkey Department of Dermatology Rashid Latif Medical CollegeLahore54600Pakistan

This study proposes a structure-preserving evolutionary framework to find a semi-analytical approximate solution for a nonlinear cervical cancer epidemic(CCE)*** underlying CCE model lacks a closed-form exact *** solutions obtained through traditional finite difference schemes do not ensure the preservation of the model’s necessary properties,such as positivity,boundedness,and ***,the development of structure-preserving semi-analytical approaches is always *** research introduces an intelligently supervised computational paradigm to solve the underlying CCE model’s physical properties by formulating an equivalent unconstrained optimization ***-free safe Padérational functions approximate the mathematical shape of state variables,while the model’s physical requirements are treated as problem *** primary model of the governing differential equations is imposed to minimize the error between approximate *** evolutionary algorithm,the Genetic Algorithm with Multi-Parent Crossover(GA-MPC),executes the optimization *** resulting method is the Evolutionary Safe PadéApproximation(ESPA)*** proof of unconditional convergence of the ESPA scheme on the CCE model is supported by numerical *** performance of the ESPA scheme on the CCE model is thoroughly investigated by considering various orders of non-singular Padéapproximants.

关键词： Nonlinear cervical cancer epidemic non-singular Padéapproximants approximate solutions computational biology

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Depositional and Bio-Sequence Stratigraphic Framework of Late Cretaceous Kawagarh Formation,Kala-Chitta Range,Pakistan:Equivalent of Gurpi Formation(Iran)

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Journal of Earth Science 2024年第2期35卷 332-348页

作者： muhammad Awais Bilal Wadood muhammad Ishaq muhammad Bilal Zeeshan zafar Nasar Khan Aminullah Khan Department of Geology University of SwabiAnbar-SwabiKhyber PakhtunkhwaSwabi23561Pakistan Department of Earth Environmental and Resources SciencesUniversity of Naples FedericoⅡNaples80126Italy State Key Laboratory of Continental Dynamics Department of GeologyNorthwest UniversityXi’an710069China National Centre of Excellence in Geology University of PeshawarPeshawarKhyber Pakhtunkhwa25130Pakistan Department of Geological Engineering School of Earth Sciences and EngineeringXi’an Shiyou UniversityXi’an610500China Department of Petroleum Geology and Engineering School of Earth ResourcesChina University of GeosciencesWuhan430074China Department of Geology University of MalakandDir Lower18800ChakdaraPakistan Department of Earth and Environmental Sciences KU LeuvenLeuven3001Belgium

The present study is focused on evaluation of deep marine pelagic sediments of Late Cretaceous Kawagarh Formation of Kala-Chitta Range in the context of microfacies analysis,paleoenvironmental interpretation,planktonic foraminiferal biostratigraphy,sequence stratigraphy and diversification of species.A total of thirty three rock samples were collected from the measured *** microfacies are interpreted,namely planktonic foraminifera wackestone,planktonic foraminifera mudstone and sandy mudstone indicating low energy depositional environment i.e.,outer *** biostratigraphic studies show plentiful planktonic foraminifera species of Globotruncana,Heterohelix and ***,no association of benthic or siliceous organisms was *** the basis of available species assemblage,a single local planktonic foraminifera biozone i.e.,Globotruncana-Heterohelix-Globotruncanita Assemblage Biozone is *** biozone information is combined with published literature and Lower Santonian to Middle Maastrichtian age has been assigned to the Kawagarh *** trend of species occurrences evinces that species number decreases over time with pulsated rise in the Kawagarh *** Kawagarh Formation carbonates show an overall Transgressive Systems Tract(TST).The Kawagarh Formation of Pakistan evinces analogous characteristics to that of the Late Cretaceous Gurpi Formation of Iran based on the geologic age,outcrop lithology,microfacies,planktonic foraminiferal assemblages,depositional setting and sequence stratigraphy.

关键词： depositional fabric biostratigraphy sequence stratigraphy Late Cretaceous Kawagarh Formation Pakistan Gurpi Formation Iran

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Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks

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Computers, Materials & Continua 2024年第8期80卷 3221-3242页

作者： Ayesha Khaliq Salman Afsar Awan Fahad Ahmad muhammad Azam Zia muhammad zafar Iqbal Department of Computer Science University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan School of Computing Faculty of TechnologyUniversity of PortsmouthSouthseaPortsmouthPO12UPUK Department of Mathematics and Statistics University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan

The rapid expansion of online content and big data has precipitated an urgent need for efficient summarization techniques to swiftly comprehend vast textual documents without compromising their original *** approaches in Extractive Text Summarization(ETS)leverage the modeling of inter-sentence relationships,a task of paramount importance in producing coherent *** study introduces an innovative model that integrates Graph Attention Networks(GATs)with Transformer-based Bidirectional Encoder Representa-tions from Transformers(BERT)and Latent Dirichlet Allocation(LDA),further enhanced by Term Frequency-Inverse Document Frequency(TF-IDF)values,to improve sentence selection by capturing comprehensive topical *** approach constructs a graph with nodes representing sentences,words,and topics,thereby elevating the interconnectivity and enabling a more refined understanding of text *** model is stretched to Multi-Document Summarization(MDS)from Single-Document Summarization,offering significant improvements over existing models such as THGS-GMM and Topic-GraphSum,as demonstrated by empirical evaluations on benchmark news datasets like Cable News Network(CNN)/Daily Mail(DM)and *** results consistently demonstrate superior performance,showcasing the model’s robustness in handling complex summarization tasks across single and multi-document *** research not only advances the integration of BERT and LDA within a GATs but also emphasizes our model’s capacity to effectively manage global information and adapt to diverse summarization challenges.

关键词： Summarization graph attention network bidirectional encoder representations from transformers Latent Dirichlet Allocation term frequency-inverse document frequency

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Ni-Gr-PTFE混合润湿复合材料表面的污垢和腐蚀行为

Ni-Gr-PTFE混合润湿复合材料表面的污垢和腐蚀行为

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作者： muhammad zafar ullah 天津大学

学位级别：硕士

在工业部门使用的所有热交换装置中,溶液中悬浮颗粒的沉积会导致许多问题,如降低了过程效率和生产效率,对工业环境造成了许多危害。在换热器或工业锅炉中,悬浮物开始沉积在管道和炉壳内,造成压力增大,降低了工业设备的使用寿命。在过去... 详细信息

在工业部门使用的所有热交换装置中,溶液中悬浮颗粒的沉积会导致许多问题,如降低了过程效率和生产效率,对工业环境造成了许多危害。在换热器或工业锅炉中,悬浮物开始沉积在管道和炉壳内,造成压力增大,降低了工业设备的使用寿命。在过去的一些年里,人们采用了许多技术来减少悬浮颗粒的沉积,如制备金属合金,采用表面工程技术或表面改性方法等。表面工程或表面改性是抑制悬浮颗粒沉积的现代技术之一。其他降低表面自由能的方法有:离子注入法、等离子体化学气相沉积法和自催化法等。论文采用新近发展起来的电沉积工艺技术制备了复合疏水涂层。该方法操作简单,花费时间少,可用于制备表面自由能较小的疏水性涂料。由于疏水性和表面自由能的降低,悬浮粒子与基体金属之间的吸引力降低。采用电沉积法制备了Ni-Gr-PTFE(Polytetrafluoroethylene)复合涂层。目前,研究人员正在研究石墨烯和其他二维材料。由于其独特的物理化学性质,如惰性、具有低表面自由能、疏水性和最强的材料、重量轻和良好的导热。电沉积石墨烯后,基材进行PTFE浸镀。聚四氟乙烯的性质是有机的或疏水性的,进一步降低了基底的表面自由能,从而降低了溶液中悬浮物和基底间的吸引力,防止了溶液中悬浮盐沉积于基底的污染。制备了混合润湿性表面并进行了污垢试验。采用SEM、EDS、AFM和XPS等不同的表征技术,分别对表面形貌、化学元素、粗糙度和结合能进行了表征。通过接触角和电化学阻抗谱(EIS)测试,分别了解了其疏水性和耐腐蚀性能。在制备复合涂层后,进行了结垢试验,评价了复合涂层的防污性能。通过污垢试验,观察到复合疏水涂层对盐沉积有较好的抑制作用。与未涂层表面相比,复合疏水涂层表面改善和减少污垢和腐蚀约86-93%。

关键词：表面工程电沉积疏水性复合涂层污垢腐蚀

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The Influence of Depression on Different Age and Gender Groups in Bahawalpur

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Journal of Clinical and Nursing Research 2024年第7期8卷 196-207页

作者： Mehran Khan muhammad Shahbaz Tooba Waris Shoaib Yaseen Iqra Afzal Emaan Khadim Sawera Usman muhammad Ismail Shah Sulaiman Aslam zafar Iqbal Bahawalpur College of Pharmacy BMDC Complex63100PunjabPakistan

In Bahawalpur,a cross-sectional study assessed depression prevalence across age and gender groups,involving 442 participants from diverse socioeconomic backgrounds and *** the PHQ9 questionnaire,84%were found to meet depression *** findings revealed a higher incidence in females(88%)than males(79%),with the greatest disparity among young adults,particularly young women,due to factors like academic pressure and financial *** children had the lowest depression rates(68%),possibly due to better *** individuals exhibited more severe depression,likely related to aging and domestic *** study’s findings highlight a significant variation in depression severity across different demographic groups,with an overall higher incidence in *** research underscores the necessity for targeted mental health resources and interventions tailored to the specific needs of each demographic *** also points to the importance of addressing academic and socioeconomic stressors to mitigate depression,particularly among young *** the study provides valuable insights,it relies on self-reported data,which may introduce ***,future research should include clinical assessments to validate these findings and ensure a more accurate representation of depression within the community.

关键词： Influence Depression Different age Gender groups Bahawalpur

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Stochastic Analysis for the Dynamics of a Poliovirus Epidemic Model

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 257-275页

作者： Ali Raza Dumitru Baleanu zafar ullah Khan muhammad Mohsin Nauman Ahmed muhammad Rafiq Pervez Anwar Department of Mathematics Government Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Department of Medical Research China Medical UniversityTaichung40402Taiwan Institute of Space Sciences Magurele-Bucharest077125Romania Department of Dermatology Rashid Latif Medical College LahoreLahore54000Pakistan Department of Mathematics Technische Universitat ChemnitzChemnitz6209111Germany Department of Mathematics and Statistics The University of LahoreLahore54590Pakistan Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Biochemistry University of SialkotSialkot51311Pakistan

Most developing countries such as Afghanistan,Pakistan,India,Bangladesh,and many more are still fighting against *** to the World Health Organization,approximately eighteen million people have been infected with poliovirus in the last two *** Asia,still,some countries are suffering from the *** stochastic behavior of the poliovirus through the transition probabilities and non-parametric perturbation with fundamental properties are *** basic properties of the deterministic model are studied,equilibria,local stability around the stead states,and reproduction *** Maruyama,stochastic Euler,and stochastic Runge-Kutta study the behavior of complex stochastic differential *** main target of this study is to develop a nonstandard computational method that restores dynamical features like positivity,boundedness,and dynamical ***,the existing methods failed to fix the actual behavior of the *** comparison of the proposed approach with existing methods is investigated.

关键词： Poliovirus model differential equations methods analysis

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Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine

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Computers, Materials & Continua 2024年第1期78卷 1311-1328页

作者： Arslan Akram Imran Khan Javed Rashid Mubbashar Saddique muhammad Idrees Yazeed Yasin Ghadi Abdulmohsen Algarni Faculty of Computer Science and Information Technology Department of Computer ScienceSuperior UniversityLahore54000Pakistan Machine Learning Code(MLC)Lab Meharban HouseHouse Number 209Zafar ColonyOkara56300Pakistan Information Technology Services University of OkaraOkara56310Pakistan Department of Computer Science&Engineering University of Engineering&Technology LahoreNarowal CampusNarowal51601Pakistan Department of Computer Science and Software Engineering Al Ain UniversityAl Ain11671Abu Dhabi Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Algorithms for steganography are methods of hiding data transfers in media *** machine learning architectures have been presented recently to improve stego image identification performance by using spatial information,and these methods have made it feasible to handle a wide range of problems associated with image *** with little information or low payload are used by information embedding methods,but the goal of all contemporary research is to employ high-payload images for *** address the need for both low-and high-payload images,this work provides a machine-learning approach to steganography image classification that uses Curvelet transformation to efficiently extract characteristics from both type of *** Vector Machine(SVM),a commonplace classification technique,has been employed to determine whether the image is a stego or *** Wavelet Obtained Weights(WOW),Spatial Universal Wavelet Relative Distortion(S-UNIWARD),Highly Undetectable Steganography(HUGO),and Minimizing the Power of Optimal Detector(MiPOD)steganography techniques are used in a variety of experimental scenarios to evaluate the performance of the *** WOW at several payloads,the proposed approach proves its classification accuracy of 98.60%.It exhibits its superiority over SOTA methods.

关键词： Curvelets fast fourier transformation support vector machine high pass filters steganography

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Sustainable food industrial waste management through single cell protein production and characterization of protein enriched bread

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Food Bioscience 2022年第2期46卷 639-646页

作者： muhammad Kashif Iqbal Khan muhammad Asif zafar ullah Razzaq Akmal Nazir Abid Aslam Maan Department of Food Engineering University of AgricultureFaisalabadPakistan National Institute of Food Science and Technology University of AgricultureFaisalabadPakistan Department of Food Science College of Agriculture and Veterinary MedicineUnited Arab Emirates UniversityAl AinUnited Arab Emirates

Production of single cell protein(SCP)from food waste is one of the promising approaches for excellent waste *** the present study,SCP was produced through submerged fermentation using selected food wastes(banana peel,citrus peel,carrot pomace and potato peel).During process optimization,combinations of various temperature and nitrogen sources were studied for optimum SCP yield(g/100g).The results indicated that maximum SCP yield was obtained at 30℃ for 7 days on potato peels,whereas citrus and banana peels exhibited the lowest SCP yield at the same process *** SCP compositional analysis indicated that the amount of non-essential amino acids was significantly higher than wheat ***,SCP enriched bread was prepared by adding SCP at different concentrations(0,4,8,and 12%).The organoleptic properties indicated that SCP addition up to 4%was acceptable to prepare protein enriched ***,SCP may be effectively used for food waste management and food security.

关键词： Fruit waste Food security Single cell protein Bread Protein deficiency Malnourishment

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Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery:Application of OHAM

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 723-749页

作者： muhammad zafar muhammad Saif ullah Tareq Manzoor Muddassir Ali Kashif Nazar Shaukat Iqbal Habibullah Manzoor Rizwan Haider Woo Young Kim Institute of Energy and Environmental Engineering University of the PunjabQuaid-e-Azam CampusLahore54590Pakistan Energy Research Centre COMSATS University IslamabadLahore54000Pakistan Department of Energy Engineering Faculty of Mechanical and Aeronautical EngineeringUniversity of Engineering and TechnologyTaxila47080Pakistan Department of Mathematics COMSATS University IslamabadLahore54000Pakistan School of Systems and Technology University of Management Sciences and TechnologyLahore54770Pakistan Department of Electrical Electronics and TelecommunicationEngineeringUniversity of Engineering and TechnologyLahore(FSD Campus)Faisalabad38000Pakistan Department of Electronic Engineering Faculty of Applied Energy SystemJeju National UniversityJeju Special Self-Governing ProvinceJeju-si63243Korea

In recent years,the emergence of nanotechnology experienced incredible development in the field of medical *** the past decade,investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing *** distribution and uniformity have emerged as substantial criteria in both medical and engineering *** effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy.A novel treatment method of magnetic drug targeting(MDT)has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy,fewer side effects,and reduce drug *** magnetic drug targeting,the appropriate movement of nanoparticles(magnetic)as carriers is essential for the therapeutic process in the blood clot removal,infection treatment,and tumor cell *** this study,we have numerically investigated the behavior of an unsteady blood flowinfused with magnetic nanoparticles during MDT under the influence of a uniform external magnetic field in a *** optimal homotopy asymptotic method(OHAM)is employed to compute the governing equation for unsteady electromagnetohydrodynamics *** influence of Hartmann number(Ha),particle mass parameter(G),particle concentration parameter(R),and electro-osmotic parameter(k)is investigated on the velocity of magnetic nanoparticles and blood *** obtained show that the electro-osmotic parameter,along with Hartmann’s number,dramatically affects the velocity of magnetic nanoparticles,blood flow velocity,and flow ***,results also reveal that at a higher Hartman number,homogeneity in nanoparticles distribution improved *** particle concentration andmass parameters effectively influence the capturing effect on nanoparticles in the blood flow using a micro-tube for magnetic drug ***,investigation also indicates that the OHAM analysis is efficient and quick to h

关键词： Hartmann number magnetic nanoparticles nonlinear analysis targeted drug delivery optimal homotopy asymptotic method(OHAM)

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CNN Based Features Extraction and Selection Using EPO Optimizer for Cotton Leaf Diseases Classification

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Computers, Materials & Continua 2023年第9期76卷 2779-2793页

作者： Mehwish zafar JaveriaAmin muhammad Sharif muhammad Almas Anjum Seifedine Kadry Jungeun Kim Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science University ofWahWah Cantt47040Pakistan National University of Technology(NUTECH) Islamabad44000Pakistan Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Software Kongju National UniversityCheonan31080Korea

Worldwide cotton is the most profitable cash *** year the production of this crop suffers because of several *** an early stage,computerized methods are used for disease detection that may reduce the loss in the production of *** several methods are proposed for the detection of cotton diseases,however,still there are limitations because of low-quality images,size,shape,variations in orientation,and complex *** to these factors,there is a need for novel methods for features extraction/selection for the accurate cotton disease *** in this research,an optimized features fusion-based model is proposed,in which two pre-trained architectures called EfficientNet-b0 and Inception-v3 are utilized to extract features,each model extracts the feature vector of length N×*** that,the extracted features are serially concatenated having a feature vector lengthN×*** prominent features are selected usingEmperor PenguinOptimizer(EPO)*** method is evaluated on two publically available datasets,such as Kaggle cotton disease dataset-I,and Kaggle *** EPO method returns the feature vector of length 1×755,and 1×824 using dataset-I,and dataset-II,*** classification is performed using 5,7,and 10 folds *** Quadratic Discriminant Analysis(QDA)classifier provides an accuracy of 98.9%on 5 fold,98.96%on 7 fold,and 99.07%on 10 fold using Kaggle cotton disease dataset-I while the Ensemble Subspace K Nearest Neighbor(KNN)provides 99.16%on 5 fold,98.99%on 7 fold,and 99.27%on 10 fold using Kaggle cotton-leaf-infection dataset-II.

关键词： Deep learning cotton disease detection features selection classification efficientnet-b0 inception-v3 quadratic discriminant analysis subspace KNN

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