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Asymptomatic dengue infection in adults of major cities of Pakistan

Asian Pacific Journal of Tropical Medicine 2017年第10期10卷 1002-1006页

作者： Ibrar Rafique muhammad arif Nadeem Saqib muhammad arif munir Huma Qureshi Ijaz-ul-Haq Taseer Rizwan Iqbal Waqaruddin Ahmed Tasleem Akhtar Rizwanullah Pakistan Health Research Council Head OfficeIslamabadPakistan Pakistan Health Research Council Research CentreNishtar Medical CollegeMultanPakistan Pakistan Health Research Council Research CentreKing Edward Medical UniversityLahorePakistan Pakistan Health Research Council Research CentreJinnah Postgraduate Medical CentreKarachiPakistan Pakistan Health Research Council Research CentreKhyber Medical CollegePeshawarPakistan

Objective: To determine the asymptomatic dengue infection in adults of Pakistani ***: This study was conducted in five major cities(Islamabad, Karachi, Lahore,Multan, and Peshawar) of Pakistan.A total of 5 230 adults aged 18 years and above without a history of dengue fever at any point in their life were enrolled from participating *** who were confirmed for dengue previously were *** the total, 62.6%(n = 3 276) were male with an average age of 34.6 *** were briefed about the objectives of the study, and written consent was obtained to perform dengue Ig G test using enzyme linked immunosorbent *** brief information related to age, gender and area was also taken on ***: Overall 32.3%(n = 1 691) was having asymptomatic dengue infection which was 67.5%(n = 756) in Karachi followed by 39.1%(n = 391) in Islamabad, 29.9%(n =316) in Lahore and 21%(n = 228) in Peshawar and none from *** males were affected with asymptomatic dengue infection than *** asymptomatic dengue infection was significantly higher in different cities; however, there was no significant difference with respect to age ***: The asymptomatic dengue infection is higher in cities ***,Islamabad and Lahore which are at risk of developing secondary dengue *** is a need of awareness among the public about secondary dengue infection.

关键词： Dengue Exposure Secondary dengue infection Asymptomatic

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Enhancing Deepfake Detection:Proactive Forensics Techniques Using Digital Watermarking

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Computers, Materials & Continua 2025年第1期82卷 73-102页

作者： Zhimao Lai Saad arif Cong Feng Guangjun Liao Chuntao Wang School of Automation Guangdong University and TechnologyGuangzhou510006China School of Immigration Administration(Guangzhou) China People’s Police UniversityGuangzhou510663China Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl Ahsa31982Saudi Arabia Cyber Police Division Guangzhou Public Security BureauGuangzhou510030China School of Forensic Science and Technology Guangdong Police CollegeGuangzhou510320China College of Mathematics and Informatics South China Agricultural UniversityGuangzhou510642China

With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly *** paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking *** detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic *** contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake *** offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal ***,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking *** systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.

关键词： Deepfake proactive forensics digital watermarking traceability detection techniques

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A Machine Learning Approach for Expression Detection in Healthcare Monitoring Systems

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Computers, Materials & Continua 2021年第5期67卷 2123-2139页

作者： muhammad Kashif Ayyaz Hussain Asim munir Abdul Basit Siddiqui AaqifAfzaal Abbasi muhammad Aakif arif Jamal Malik Fayez Eid Alazemi Oh-Young Song Department of Computer Science&Software Engineering International Islamic UniversityIslamabad44000Pakistan Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan Department of Computer Science Capital University of Science&TechnologyIslamabad44000Pakistan Department of Software Engineering Foundation UniversityIslamabad44000Pakistan Department of Computer Science Abdul Wali Khan UniversityMardan23200Pakistan Department of Computer Science and Information Systems College of Business StudiesPAAET12062Kuwait Department of Software Sejong UniversitySeoul05006Korea

Expression detection plays a vital role to determine the patient’s condition in healthcare *** helps the monitoring teams to respond swiftly in case of *** to the lack of suitable methods,results are often compromised in an unconstrained environment because of pose,scale,occlusion and illumination variations in the image of the face of the patient.A novel patch-based multiple local binary patterns(LBP)feature extraction technique is proposed for analyzing human behavior using facial expression *** consists of three-patch[TPLBP]and four-patch LBPs[FPLBP]based feature engineering *** representation is encoded from local patch statistics using these *** and FPLBP capture information that is encoded to find likenesses between adjacent patches of pixels by using short bit strings contrary to pixel-based *** images are transformed into the frequency domain using a discrete cosine transform(DCT).Most discriminant features extracted from coded DCT images are combined to generate a feature *** vector machine(SVM),k-nearest neighbor(KNN),and Naïve Bayes(NB)are used for the classification of facial expressions using selected *** experimentation is performed to analyze human behavior by considering standard extended Cohn Kanade(CK+)and Oulu–CASIA *** demonstrate that the proposed methodology outperforms the other techniques used for comparison.

关键词： Detection expressions gestures analytics pain patch-based local binary descriptor discrete cosine transform healthcare

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SUFFICIENT CONDITION FOR FUNCTIONS TO BE IN A CLASS OF MEROMORPHIC MULTIVALENT SAKAGUCHI TYPE SPIRAL-LIKE FUNCTIONS

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Acta Mathematica Scientia 2014年第2期34卷 575-578页

作者： muhammad arif Janusz SOK muhammad AYAZ Department of Mathematics Abdul Wali Khan University Mardan Department of Mathematics Rzeszw University of Technology

In this article, we define a subclass of meromorphic multivalent Sakaguchi type functions and obtain certain sufficient conditions for functions to be in this class. The main result presented here includes a number of... 详细信息

关键词： Sakaguchi type functions spirallike functions meromorphic functions

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Suppression of methane formation during Fisher-Tropsch synthesis using manganese-cobalt oxide supported on H-5A zeolite as a catalyst

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Journal of Natural Gas Chemistry 2009年第2期18卷 187-190页

作者： Syed Tajammul Hussain muhammad Mazhar muhammad arif Nadeem National Centre for Physics Quaid-i-Azam UniversityIslamabad 43520 Pakistan Department of Chemistry Quaid-i-Azam UniversityIslamabad 43520 Pakistan

In Fischer-Tropsch synthesis reaction, methane formation is one of the side reactions which must be suppressed in order to get better catalytic selectivity for light olefins. In the present study, we have modified cobalt based Fischer-Tropsch catalyst and developed a process to minimize methane production, consequently to produce maximum yield of light olefins. Manganese-cobalt oxide supported on H-5A zeolite catalyst was synthesized using modified H-5A zeolite, to increase its surface acid sites. Increased acidity of zeolite plays a major part in the suppression of methane formation during the Fischer-Tropsch reaction. The modified zeolite results in the electronic modification of catalyst surface by creating new active catalytic sites. The results are compared with other supported catalysts along with unmodified zeolite. Appreciable reduction in methane formation is achieved on modified zeolite supported catalyst in comparison with unsupported catalyst.

关键词： methane formation Fisher-Tropsch synthesis manganese cobalt suppression

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Classification of Human Protein in Multiple Cells Microscopy Images Using CNN

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Computers, Materials & Continua 2023年第8期76卷 1763-1780页

作者： Lina Al-joudi muhammad arif Department of Computer Science AI(CS-AI) Umm Al Qura University(UQU)Makkah24231Saudi Arabia

The subcellular localization of human proteins is vital for understanding the structure of human *** play a significant role within human cells,as many different groups of proteins are located in a specific location to perform a particular *** these functions will help in discoveringmany diseases and developing their *** importance of imaging analysis techniques,specifically in proteomics research,is becoming more *** recent advances in deep learning techniques for analyzing microscopy images,classification models have faced critical challenges in achieving high *** protein subcellular images have a significant class *** use oversampling and under sampling techniques in this research to overcome this *** have used a Convolutional Neural Network(CNN)model called GapNet-PL for the multi-label classification task on the Human Protein Atlas Classification(HPA)*** have found that the ParametricRectified LinearUnit(PreLU)activation function is better than the Scaled Exponential LinearUnit(SeLU)activation function in the GapNet-PL model in most classification *** results showed that the GapNet-PL model with the PReLU activation function achieved an area under the ROC curve(AUC)equal to 0.896,an F1 score of 0.541,and a recall of 0.473.

关键词： CNN protein PReLU SeLU microscopy images subcellular localization multi-cells

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A reliable numerical analysis for stochastic gonorrhea epidemic model with treatment effect

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International Journal of Biomathematics 2019年第6期12卷 221-246页

作者： Ali Raza muhammad Shoaib arif muhammad Ualiq Department of Mathematics Stochastic Analysis and Optimization Research Group Air University PAF Complex E-9 Islamabad 44000PedralPakistan Faculty of Engineering.University of Central PunjabLahore 54000 PunjabPakistan

The phenomena of disease spread are unpredictable in nature due to random mixing of individuals in a *** is of more significance to include this randomness while modeling infectious *** epidemics including tlieir stochastic behavior could be a more realistic approach in many *** thus paper,a stochastic gon orrhea epidemic model with treatment effect has been analyzed *** solution of stochastic model is presented in comparison with its deterministic *** dynamics of the gonorrhea disease is governed by a threshold quantity Ai called basic reproductive ***.A11 shows the persistence of disease in *** standard numerical schemes like Euler *** Euler and stochastic Rurige Kutta are highly dependent on step size and do not behave well in certain scenarios.A competitive non-standard finite dif ference numerical scheme in stochastic setting is proposed,which is independent of step size and remains consistent with the corresponding deterministic model.

关键词： Gonorrhea disease stochastic differential equations stochastic numerical schemes

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A Hybrid SIR-Fuzzy Model for Epidemic Dynamics:A Numerical Study

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3417-3434页

作者： muhammad Shoaib arif Kamaleldin Abodayeh Yasir Nawaz Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Mathematics Air UniversityIslamabad44000Pakistan

This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy *** integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model *** main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical *** main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership *** enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical *** investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic *** order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical *** convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler *** numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease ***,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological ***,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible *** correlation offers a significant understanding of how many elements affect the con

关键词： Fuzzy-based model sensitivity equilibriumpoints proposed numerical scheme convergence and stability analysis

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Solution of Algebraic Lyapunov Equation on Positive-Definite Hermitian Matrices by Using Extended Hamiltonian Algorithm

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Computers, Materials & Continua 2018年第2期54卷 181-195页

作者： muhammad Shoaib arif Mairaj Bibi Adnan Jhangir Department of Mathematics Air UniversityPAF ComplexE-9IslamabadPakistan Department of Mathematics Comsats Institute of Information TechnologyPark RoadChak-ShahzadIslamabadPakistan Department of Mathematics Comsats Institute of Information TechnologyWah CanttPakistan

This communique is opted to study the approximate solution of the Algebraic Lyapunov equation on the manifold of positive-definite Hermitian *** choose the geodesic distance between􀀀AHX􀀀XA and P as the cost function,and put forward the Extended Hamiltonian algorithm(EHA)and Natural gradient algorithm(NGA)for the ***,several numerical experiments give you an idea about the effectiveness of the proposed *** also show the comparison between these two algorithms EHA and *** results are provided and analyzed *** also conclude that the extended Hamiltonian algorithm has better convergence speed than the natural gradient algorithm,whereas the trajectory of the solution matrix is optimal in case of Natural gradient algorithm(NGA)as compared to Extended Hamiltonian Algorithm(EHA).The aim of this paper is to show that the Extended Hamiltonian algorithm(EHA)has superior convergence properties as compared to Natural gradient algorithm(NGA).Upto the best of author’s knowledge,no approximate solution of the Algebraic Lyapunov equation on the manifold of positive-definite Hermitian matrices is found so far in the literature.

关键词： Information geometry algebraic lyapunov equation positive-definite hermitianmatrix manifold natural gradient algorithm extended hamiltonian algorithm

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Computational Modeling of Reaction-Diffusion COVID-19 Model Having Isolated Compartment

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Computer Modeling in Engineering & Sciences 2023年第5期135卷 1719-1743页

作者： muhammad Shoaib arif Kamaleldin Abodayeh Asad Ejaz Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Mathematics Air UniversityPAF Complex E-9Islamabad44000Pakistan

Cases of COVID-19 and its variant omicron are raised all across the *** most lethal form and effect of COVID-19 are the omicron version,which has been reported in tens of thousands of cases daily in numerous *** WHO(World health organization)records on 30 December 2021,the cases of COVID-19 were found to be maximum for which boarding individuals were found 1,524,266,active,recovered,and discharge were found to be 82,402 and 34,258,778,*** there were 160,989 active cases,33,614,434 cured cases,456,386 total deaths,and 605,885,769 total samples *** far,1,438,322,742 individuals have been *** coronavirus or COVID-19 is inciting panic for several *** is a new virus that has affected the whole *** have introduced certain ways to prevent the *** can lower the danger of infection by reducing the contact rate with other *** crowded places and social events withmany people reduces the chance of one being exposed to the *** deadly COVID-19 spreads *** is thought that the upcoming waves of this pandemicwill be evenmore *** have presented severalmathematical models to study the pandemic and predict future *** need of the hour is to restrict the mobility to control the infection from ***,separating affected individuals from healthy people is essential to control the *** consider the COVID-19 model in which the population is divided into five *** present model presents the population’s diffusion effects on all susceptible,exposed,infected,isolated,and recovered *** reproductive number,which has a key role in the infectious models,is *** equilibrium points and their stability is *** numerical simulations,finite difference(FD)schemes like nonstandard finite difference(NSFD),forward in time central in space(FTCS),and Crank Nicolson(CN)schemes are *** core characteristics

关键词： Reproductive number stability Routh Hurwitz criterion variational matrix NSFD scheme FTCS scheme Crank Nicolson scheme consistency

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