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Journal of Cyber Security 2023年第1期5卷 1-11页

作者： Bilal Khan muhammad Arshad sarwar Shah Khan Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Computer Software Engineering University of Engineering and TechnologyMardanPakistan Department of Computer and Software Technology University of SwatSwatPakistan Department of Computer Science IQRA National UniversitySwatPakistan

The proliferation of maliciously coded documents as file transfers increase has led to a rise in sophisticated *** Document Format(PDF)files have emerged as a major attack vector for malware due to their adaptability and wide *** malware in PDF files is challenging due to its ability to include various harmful elements such as embedded scripts,exploits,and malicious *** paper presents a comparative analysis of machine learning(ML)techniques,including Naive Bayes(NB),K-Nearest Neighbor(KNN),Average One Dependency Estimator(A1DE),RandomForest(RF),and SupportVectorMachine(SVM)forPDFmalware *** study utilizes a dataset obtained from the Canadian Institute for Cyber-security and employs different testing criteria,namely percentage splitting and 10-fold *** performance of the techniques is evaluated using F1-score,precision,recall,and accuracy *** results indicate that KNNoutperforms other models,achieving an accuracy of 99.8599%using 10-fold *** findings highlight the effectiveness of ML models in accurately detecting PDF malware and provide insights for developing robust systems to protect against malicious activities.

关键词： Cyber-security PDF malware model training testing

Smart-phone,paper-based fluorescent sensor for ultra-low inorganic phosphate detection in environmental samples

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Microsystems & Nanoengineering 2019年第1期5卷 164-173页

作者： Mehenur sarwar Jared Leichner Ghinwa MNaja Chen-Zhong Li Nanobioengineering/Bioelectronics Laboratory Department of Biomedical EngineeringFlorida International University10555 West Flagler StreetMiamiFL 33174USA Everglades Foundation 18001 Old Culter RoadPalmetto BayFL 33157USA

A major goal of environmental agencies today is to conduct point-of-collection monitoring of excess inorganic phosphate(Pi)in environmental water samples for tracking aquatic“dead zones”caused by algae ***,there are no existing commercial devices which have been miniaturized and are suitable for the point-of-need-testing(“PONT”)that is required to fully map a large region,such as the Florida *** solve this challenge,a reflection-mode fluorescence-sensing apparatus was developed,leveraging an environmentally sensitive fluorophore(MDCC)bound to a bacterial phosphate-binding protein to generate a fluorescent optical signal proportional to the concentration of(Pi)*** combined end-to-end integrated sensor system had a response time of only 4 s,with minimal effects of common interfering agents and a linear range spanning from 1.1 to 64 *** support easeof-use during PONT,the platform incorporated disposable wax-printed paper strip sample pads and a smartphone camera detection *** the EPA threshold is currently 30 ppb to prevent eutrophication,this system serves as a rapid test of whether a region is compliant.

关键词： Smart system apparatus

Sweat-Based in Vitro Diagnostics(IVD):From Sample Collection to Point-of-Care Testing(POCT)

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Journal of Analysis and Testing 2019年第1期3卷 80-88页

作者： Mehenur sarwar Pablo Rodriguez Chen-zhong Li Nanobioengineering/Bioelectronics Laboratory and Department of Biomedical EngineeringFlorida International UniversityMiami 33174USA

Sweat-based diagnostics offer an exciting avenue to noninvasively monitor analytes which had previously only been avail-able through painful blood *** is enriched with physiologically valuable information,and recent proteomic studies have identified numerous critical analytes which have highly correlated levels in blood,interstitial fluid and ***-ever,usage of sweat for health monitoring has not been studied extensively due to the substantial challenge of assembling a composite clinic-ready *** advances in soft electronics have made this goal realizable,as these devices can perform electronic or optical monitoring on a flexible substrate using small volumes of *** this field is still in its infancy,this review examines the physiological composition of sweat,various improvements in material science that improve sensor design,existing FDA approvals,methods of extracting sweat and comparisons to blood-based ***,this review assesses the critical challenges which must be overcome for this type of technology to make it out of research laboratories and into continuous clinical *** believe that once properly harnessed,sweat-based diagnostics can provide patients a painless monitoring tool which can be customized to track a wide variety of medical conditions from the comfort of a patient’s own home.

关键词： Wearable sensors Sweat tests In vitro diagnostics Biomarkers POCTs Sweat collection

Application of Electrodynamic Theory on Quantum Hall Effect

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World Journal of Condensed Matter Physics 2016年第2期6卷 87-94页

作者： Saleem Iqbal muhammad Zafar Farhana sarwar Syed Mohsin Raza muhammad Afzal Rana Department of Mathematics University of Balochistan Quetta Pakistan Department of Basic Sciences Riphah International University Islamabad Pakistan Department of Mathematics F. G. Girls Degree College Quetta Pakistan Department of Physics University of Balochistan Quetta Pakistan

The quantum electrodynamic (QED) behaviour is studied for quantum Hall effect (QHE). Quantum theory with conjecture of fractional charge quantization (quantum dipole moment), eigenfunctions for fractional charge quantization at the surface of a twisted and twigged electron quanta and above its surface, fractional Fourier transform and Hermite function for fractional charge quantization is developed. With energy eigen value equation for QHE and with energy operator on an eigenfunction of a twisted and twigged electron quanta, the corresponding eigenfunctions are normalized with Schrodinger’s quantum wave mechanical equation for electric scalar and magnetic potentials, respectively (QED behavior). The fractional electric and magnetic fields with their corresponding potentials for the quantized fractional states in semiconducting hereto structures are theoretically calculated. Such mathematical expressions are in good agreement with experimental results of Nobel Prize winning scientists Klitzing, Haroche, Peter and Gruebber. Our results can also explain the hybridized states of orbits with emphasis on sigma and pi bonding and their corresponding antibonding orbitals as a manifestation of electrophilic and nucleophilic chemical reactions.

关键词： Fractional Charge Quantization Fractional Fourier Transform Quantum Hall Effect Quantum Electrodynamics Electron Quanta String Twisted and Twigged Electron Quanta

The Impact of Fdi on Pakistan's Economic Growth and Employment-based on Var Model

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The Impact of Fdi on Pakistan's Economic Growth and Employme...

作者： Bushra sarwar 南京农业大学

学位级别：硕士

The objective of this study is to analyze the impact of foreign direct investment on economic growth and employment in *** study was focused to analyze the current situation of foreign investment and evaluated the economic variables which effect foreign investment,economic growth and employment by evaluating the role of FDI in establishing the relationship with economic growth and employment in *** direct investment is very important to promote economic growth of a *** plays an important in job creation and enhancement of the employment level in a *** mid-nineties,FDI inflow to Pakistan has shown marked increase,because Pakistan is experiencing difficulties in creating employment *** is a need to analyze the role foreign inflow which can play important role to increase economic growth and employment *** series and secondary data was used from 1990 to *** data of GDP(%growth)annual and FDI inflow(% growth)was collected from World development data indicator(WDI).The data on employment(employment to population ratio 15-24,total %)is used from international labor organization(ILO)*** empirical analysis we used VAR models that requires stable *** unit root test and AR root test was carried out to evaluate the relevant data of the research either its stationary and evaluate the long run relationship of variables..ADF test and AR root test method was used for FDI,GDP and *** time series of indicators ADF test that FDI and EMP are not stable at 1%threshold level,Then the first order differential was taken which shows that sequence are *** these,DFDI and DEMP are flat and the GDP was stable at 5%.significant ***,the content analysis of this section was used the DFDI,DGDP and DEMP data to create a VAR *** regression results of VAR model,variables relation was explained among each other with their lag *** results of GDP L1 value shows that

关键词： FDI PAKISTAN ECONOMIC GROWTH EMPLOYMENT VAR MODE

A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy

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Biomedical and Environmental Sciences 2021年第9期34卷 729-733页

作者： Tahir Yaqub muhammad Nawaz muhammad Z.Shabbir muhammad A.Ali Imran Altaf Sohail Raza muhammad A.B.Shabbir muhammad A.Ashraf Syed Z.Aziz Sohai l Q.Cheema muhammad B.Shah Saira Rafique Sohail Hassan Nageen Sardar Adnan Mehmood muhammad W.Aziz Sehar Fazal Nadir Hussain muhammad T.Khan muhammad M.Atique Ali Asif muhammad Anwar Nabeel A.Awan muhammad U.Younis muhammad A.Bhattee Zarfishan Tahir Nadia Mukhtar Huda sarwar Maaz S.Rana Omair Farooq Institute of Microbiology University of Veterinary and Animal SciencesLahorePakistan Water and Sanitation Agency LahorePunjabPakistan Specialized Healthcare&Medical Education Department PunjabPakistan Primary and Secondary Healthcare Department PunjabPakistan Institute of Public Health LahorePakistan Farooq Hospital LahorePakistan

In 2019,the newly emerged SARS-CoV-2 virus caused pneumonia-like *** disease rapidly spread globally,leading to a worldwide outbreak referred to as the COVID-19 pandemic.

关键词： globally Strategy Smart

Applicability of denoising-based artificial intelligence to forecast the environmental externalities

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Geoscience Frontiers 2024年第3期15卷 469-483页

作者： Dongsheng Cai Ghazala Aziz Suleman sarwar Majid Ibrahim Alsaggaf Avik Sinha The College of Nuclear Technology and Automation Engineering Chengdu University of TechnologySichuan Province 610059China Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Management Development Institute Gurgaon India

The current study attempts to compare the hybrid artificial intelligence models to forecast the environmental externalities in Saudi *** have used the denoising based artificial intelligence models to construct hybrid *** comparing the denoising techniques,the CSD-based denoising has ***,we have used the CSD-based hybrid ***-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based traditional *** these models are used to check and compare their performance in terms of level and direction of prediction for PM_(10).The results show that the CSD-based ANN model has a higher predictability for PM_(10) levels in Saudi Arabia due to low error values and higher Dstat *** comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM_(10) in Saudi ***,this hybrid model can predict the environmental externalities for non-linear and highly noised ***,the findings can be useful in achieving the sustainable development goal.

关键词： Hybrid artificial intelligence Forecasting Saudi Arabia Environment PM_(10)

Organic and Inorganic Mercury in Biological Samples of Flouresecent Lamp Industries Workers and Health Risks

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Biomedical and Environmental Sciences 2020年第2期33卷 89-102页

作者： Nayab GUL Sardar KHAN Abbas KHAN Javed NAWAB Adnan sarwar Nida GUL Climate Change Centre The University of AgriculturePeshawar 25120Pakistan Department of Environmental Sciences University of PeshawarPeshawar 25120Pakistan Drug Control Administration Government of Khyber PakhtunkhwaHealth DepartmentPeshawar 25120Pakistan Department of Environmental Sciences Abdul Wali Khan University MardanPeshawar 25120Pakistan Pak International Medical College and Research Institute HayatabadPeshawar 25120Pakistan

Objective The present study aims to investigate the concentrations of Hg and its aspects methyl mercury(Me-Hg)and inorganic mercury(I-Hg)in the biological samples(BSs)of fluorescent lamp industries workers(FLIWs).Methodology Different BSs including red blood cells(RBCs),plasma,urine,hair and nails were collected from the workers exposed to Hg and unexposed persons were selected as control group to measure both the T-Hg concentration as well as its species in different biological samples through quantitative *** data was collected through questionnaire *** The mean concentrations of T-Hg(31.9μg/L),Me-Hg(27.7μg/L),and I-Hg(5.36μg/L)in RBCs were found significantly(P<0.001)higher among the workers(n=40)as compared to the control group(n=40).Similarly the mean Hg concentrations in plasma,urine,hair and nails were also significantly higher among the workers than the control *** statistical relation between Hg concentration and demographic characteristics observed that workers experience and fish consumption has increased the Hg concentration while age,weight and smoking found no significant effect on Hg concentration in the *** The study observed that the workers were highly exposed to high concentration of Hg and they are at a high health risk.

关键词： Mercury Health risk Fluorescent lamp industries Regression Demographic characteristics Biological samples

Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

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Journal on Big Data 2023年第1期5卷 1-18页

作者： Mian muhammad Danyal sarwar Shah Khan Muzammil Khan muhammad Bilal Ghaffar Bilal Khan muhammad Arshad Department of Computer Science City University of Science&TechnologyPeshawar25000Pakistan Department of Computer Science and Software Technology University of SwatSwat19200Pakistan Department of Computer Software Engineering University of Engineering&Technology MardanMardan23200Pakistan Department of Computer Science IQRA National UniversitySwat19200Pakistan

Movies are the better source of *** year,a great percentage of movies are *** comment on movies in the form of reviews after watching *** it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the *** mining also known as sentiment analysis is the process of extracting subjective information from textual *** mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or *** task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie *** reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular *** summary of all reviews can give a general idea about the *** study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version *** applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better *** the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version *** study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.

关键词： Opinion mining machine learning movie reviews IMDB Dataset of 50K reviews Sentiment Polarity Dataset Version 2.0

Mechanical and magneto-electronic properties of europium lanthanide-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe): An ab initio study

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Journal of Rare Earths 2024年第3期42卷 562-569,I0005页

作者： Hayat Ullah Azra sarwar Sajad Ali Rabah Khenata Abdelmadjid Bouhemadou Saad Bin-Omran Department of Physics Women University of Azad Jammu&Kashmir Bagh 10250Pakistan Department of Physics Abdul Wali Khan UniversityMardan23200KPPakistan LPQ3M Laboratory Institute of Science and TechnologyUniversity of Mascara29000MascaraAlgeria Laboratory for Developing New Materials and Their Characterization Farhat Abbas University Setif l19000SetifAlgeria Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Computational calculations using density functional theory(DFT) were performed for the first time using the full potential linearized augmented plane wave plus local orbital method(FP-LAPW + LO) to determine the structural, elastic, electronic and magnetic properties of europium-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe). The exchange correlation potentials of GGA along with some analytical methods were adopted for the computation of structural and elastic properties. Moreover, the GGA + U formalism was also added for obtaining more precise electronic and magnetic properties, particularly to address the Eu-4f and Y-3d orientations in the spin-polarized double cell symmetry. The observed lattice parameters of these compounds are consistent with experiment. The observed bulk moduli predict that EuCrO_(3) is harder and less compressible than EuMnO_(3) and EuFeO_(3). The calculated tolerance factors of these compounds are within the cubic symmetry range. Our computed critical radius of EuCrO_(3) shows that EuCrO_(3) has a larger migration energy. Based on their elastic properties, these compounds are ductile in nature. We also computed the thermal properties of these compounds. The band structures and density of states show that these compounds are metallic in character. The lowest ground state energy and magnetic moments of these compounds expose their ferromagnetic nature. The metallic nature and strong ferromagnetism of these compounds make them promising applicants for application in spintronic.

关键词： Perovskites GGA+U Elastic constants Band structure Magnetic moments Rare earths