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| 1 | Surface plasmon polariton at the interface of dielectric and graphene medium using Kerr effect显示文摘We theoretically investigate the control of surface plasmon polariton(SPP) generated at the interface of dielectric and graphene medium under Kerr nonlinearity. The controlled Kerr nonlinear signal of probe light beam in a dielectric medium is used to generate SPPs at the interface of dielectric and graphene medium. The positive, negative absorption, and dispersion properties of SPPs are modified and controlled by the control and Kerr fields. A large amplification(negative absorption) is noted for SPPs under the Kerr nonlinearity. The normal/anomalous slope of dispersion and propagation length of SPPs is modified and controlled with Kerr nonlinearity. This leads to significant variation in slow and fast SPP propagation. The controlled slow and fast SPP propagation may predict significant applications in nano-photonics, optical tweezers, photovoltaic devices, plasmonster, and sensing technology. | Bakhtawar Muhammad Haneef B A Bacha H Khan M Atif | 2018 | Chinese Physics B2018，27，11： | 3 |
| 2 | Towards cloud based big data analytics for smart future cities显示文摘 | Zaheer Khan Ashiq Anjum Kamran Soomro Muhammad Atif Tahir | 2015 | Journal of Cloud Computing2015，，： | 1 |
| 3 | 2D Carbon Fiber Reinforced High Density Polyethylene Multi-Layered Laminated Composite Panels:Structural,Mechanical,Thermal,and Morphological Profile显示文摘Carbon fiber reinforced high density polyethylene multi-layered laminated composite panels(HDPE/CF MLCP) with excellent in-plane properties along transverse direction have been formulated. Composite architectures with carbon fiber(CF) designed in 2D layout in conventional composites can alleviate their properties in thickness direction, but all attempts so far developed have achieved restrained success. Here,we have exposed an approach to the high strength composite challenge, without altering the 2D stack design on the basis of concept of fiber reinforced laminated composites that would provide enhanced mechanical and thermal properties along transverse direction. CF sheets allowed the buckling of adjoining plies in 2D MLCP. We fabricated 2D MLCP by stacking the alternative CF and HDPE layers under different loading conditions, which resulted in high strength composites. These plies of CF and HDPE served as unit cells for MLCP, with CF offering much-needed fracture toughness and hardness to these materials.For 2D HDPE/CF MLCP, we demonstrated noteworthy improvement in physical and chemical interaction between CF and HDPE, in-plane fracture strain, flexural strength(30.684 MPa), bending modulus(7436.254 MPa), thermal stability(40.94%), and surface morphology, upon increasing the CF layers up to twenty, enabling these composites truly for high temperature and high strength applications. | Shahzad Maqsood Khan Nafisa Gull Muhammad Azeem Munawar Atif Islam Saba Zia Muhammad Shafiq Aneela Sabir Syed Muhammad Awais Muhammad Arif Butt Muhammad Taqi Zahid Butt Tahir Jamil | 2016 | Journal of Materials Science & Technology2016，32，10： | 1 |
| 4 | Evaluation of Growth and Flowering Potential of Rosa Hybrida Culti-vars Under Faisalabad Climatic Conditions显示文摘 | MUHAMMAD NADEEM MUHAMMAD ASLAM KHAN ATIF RIAZ | 2011 | Pak J Agri Sci2011，，4： | 1 |
| 5 | Comparative assessment of clinical profile and outcomes after primary percutaneous coronary intervention in young patients with single vs multivessel disease显示文摘BACKGROUND Even though percutaneous coronary intervention(PCI)improved the survival of patients with acute myocardial infarction,still multivessel coronary artery disease remains an important factor burdening prognosis and it is being associated with a worse prognosis compared to single-vessel disease(SVD).AIM To compare the clinical profile and outcomes after the primary PCI in young patients with SVD vs multivessel disease(MVD).METHODS The retrospective cohort of patients were divided into two groups:SVD and MVD group.The study population consisted of both male and female young(≤45 years)patients presented with ST-elevation myocardial infarction(STEMI)at the National Institute of Cardiovascular Disease,Karachi,Pakistan and undergone primary PCI from 1 st July 2017 to 31 st March 2018.Pre and postprocedure management of the patients was as per the guidelines and institutional protocols.RESULTS A total of 571 patients with STEMI,≤45 years were stratified into two groups by the number of vessels involved,342(59.9%)with SVD and 229(40.1%)with MVD.The average age of these patients was 39.04±4.86 years.A lower prevalence of hypertension and diabetes was observed in SVD as compare to MVD group(25.1%vs 38%,P<0.01;11.7%vs 27.5%,P<0.001)respectively.While,smoking was more prevalent among the SVD group as compare to MVD group(36.3%vs 28.4%,P=0.05).The high-C Lesion was observed in a significantly higher number of younger patients with MVD as compared to SVD group(48.8%vs 39.2%,P=0.021).Post-procedure thrombolysis in myocardial infarction flow grade was found to be not associated with the number of diseased vessels with a P value of 0.426 and thrombolysis in myocardial infarction flow grade III was observed in 98%vs 96.5%of the patients is SVD vs MVD group.CONCLUSION The MVD comprised of around 40%of the young patients presented with STEMI.Also,this study shows that diabetes and hypertension have a certain role in the pathogenesis of multivessel diseases,therefore,preventive measures for diabetes and hypertension can be effective strategies in reducing the burden of premature STEMI. | Atif Sher Muhammad Tariq Ashraf Ayaz Mir Syed Alishan Faiza Farooq Ali Ammar Musa Karim Syed Nadeem Hassan Rizvi Tahir Saghir Jawaid Akbar Sial Naveed Ullah Khan | 2020 | World Journal of Cardiology2020，12，4： | 1 |
| 6 | Liver-Tumor Detection Using CNN ResUNet显示文摘Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics 2018.There are several imaging tests like Computed Tomography(CT),Magnetic Resonance Imaging(MRI),and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the liver.These tests are costly and time-consuming.This paper proposed that image processing through deep learning Convolutional Neural Network(CNNs)ResUNet model that can be helpful for the early diagnose of tumor instead of conventional methods.The existing studies have mainly used the two Cascaded CNNs for liver segmentation and evaluation of Region Of Interest(ROI).This study uses ResUNet,an updated version of U-Net and ResNet Models that utilize the service of Residential blocks.We apply over method on the 3D-IRCADb01 dataset that is based on CT slices of liver tumor affected patients.The results showed the True Value Accuracy around 99%and F1 score performance around 95%.This method will be helpful for early and accurate diagnose of the Liver tumor to save the lives of many patients in the field of Biotechnology. | Muhammad Sohaib Aslam Muhammad Younas Muhammad Umar Sarwar Muhammad Arif Shah Atif Khan MIrfan Uddin Shafiq Ahmad Muhammad Firdausi Mazen Zaindin | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 7 | Offshore Software Maintenance Outsourcing Process Model Validation:A Case Study Approach显示文摘The successful execution and management of Offshore Software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO client.Although a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development only.Several frameworks have been developed focusing on guiding software systemmanagers concerning offshore software outsourcing.However,none of these studies delivered comprehensive guidelines for managing the whole process of OSMO.There is a considerable lack of research working on managing OSMO from a vendor’s perspective.Therefore,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s perspective.This study validated the preliminary OSMO process model via a case study research approach.The results showed that the OSMO process model is applicable in an industrial setting with few changes.The industrial data collected during the case study enabled this paper to extend the preliminary OSMO process model.The refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk. | Atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel Sulaiman Muhammad Akram Ahmad Salman Khan | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 8 | Detection of ROS and translocation of ERP-57 in apoptotic induced human neuroblastoma(SH-SY5Y)cells显示文摘Several toxic compounds are known to induce apoptosis in mammalian cell lines.The human neuroblastoma cells(SHSH-SY5Y)were exposed to the phosphatase inhibiting toxin okadaic acid(OA)or hydrogen peroxide(H2O2)to induce apoptosis as well as generate reactive oxygen species(ROS).Mitoxantrone(MXT)was used as a positive control for apoptosis.The SHSH-SY5Y cells were transfected with eukaryotic expression plasmid pHyPer-dMito encoding mitochondrial-targeted fluorescent or pHyPer-dCito encoding cytoplasmic-targeted fluorescent sensor for hydrogen peroxide(HyPer).The ERp57,also called GRP58(Glucose-regulated protein 58),is a stress protein induced in conditions like glucose starvation and viral infection.Recently ERp57 was shown to translocate from the endoplasmatic reticulum to the cell surface in anthracycline-induced apoptotic cells.ERp57 co-translocation together with calreticulin has been suggested to be crucial for recognizing tumor cells to induce immunogenic cell death.ERp57 translocation after exposure to okadaic acid was studied using immunofluorescence and confocal microscopy.These studies indicated that okadaic acid has induced the translocation of ERp57 to the cellular membrane. | ATIF KAMIL MUBARAK ALI KHAN MUHAMMAD AASIM NADIR ZAMAN KHAN RAHAM SHER KHAN MUHSIN JAMAL WAQAR AHMAD MIR AZAM KHAN FAZAL JALIL | 2019 | BIOCELL2019，43，3： | 0 |
| 9 | Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay Pandemic Model显示文摘In this manuscript,the mathematical analysis of corona virus model with time delay effect is studied.Mathematical modelling of infectious diseases has substantial role in the different disciplines such as biological,engineering,physical,social,behavioural problems and many more.Most of infectious diseases are dreadful such as HIV/AIDS,Hepatitis and 2019-nCov.Unfortunately,due to the non-availability of vaccine for 2019-nCov around the world,the delay factors like,social distancing,quarantine,travel restrictions,holidays extension,hospitalization and isolation are used as key tools to control the pandemic of 2019-nCov.We have analysed the reproduction number��������������������of delayed model.Two key strategies from the reproduction number of 2019-nCov model,may be followed,according to the nature of the disease as if it is diminished or present in the community.The more delaying tactics eventually,led to the control of pandemic.Local and global stability of 2019-nCov model is presented for the strategies.We have also investigated the effect of delay factor on reproduction number��R_(nCov).Finally,some very useful numerical results are presented to support the theoretical analysis of the model. | Muhammad Naveed Muhammad Rafiq Ali Raza Nauman Ahmed Ilyas Khan Kottakkaran Sooppy Nisar Atif Hassan Soori | 2020 | Computers, Materials & Continua2020，，9： | 0 |
| 10 | Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic显示文摘Cloud computing is seeking attention as a new computing paradigm to handle operations more efficiently and cost-effectively.Cloud computing uses dynamic resource provisioning and de-provisioning in a virtualized environment.The load on the cloud data centers is growing day by day due to the rapid growth in cloud computing demand.Elasticity in cloud computing is one of the fundamental properties,and elastic load balancing automatically distributes incoming load to multiple virtual machines.This work is aimed to introduce efficient resource provisioning and de-provisioning for better load balancing.In this article,a model is proposed in which the fuzzy logic approach is used for load balancing to avoid underload and overload of resources.A Simulator in Matlab is used to test the effectiveness and correctness of the proposed model.The simulation results have shown that our proposed intelligent cloud-based load balancing system empowered with fuzzy logic is better than previously published approaches. | Atif Ishaq Khan Syed Asad Raza Kazmi Ayesha Atta Muhammad Faheem Mushtaq Muhammad Idrees Ilyas Fakir Muhammad Safyan Muhammad Adnan Khan Awais Qasim | 2021 | Computers, Materials & Continua2021，，4： | 0 |
| 11 | General Solution for Unsteady Natural Convection Flow with Heat and Mass in the Presence of Wall Slip and Ramped Wall Temperature显示文摘This work is focused on the effect of heat and mass transfer with unsteady natural convection flow of viscous fluid along with ramped wall temperature under the assumption of the slip wall condition at the boundary. Analytical solutions are obtained by using Laplace transformation to the non-dimensional set of governing equations containing velocity, temperature and concentration. Moreover, the expression for skin-friction is derived by differentiating the analytical solutions of fluid velocity. Numerical tables for Skin-friction, Sherwood number and Nusselt-number are examined. For the physical aspects of the flow, we use various values of involved physical parameters such as Prandtl number(Pr), slip parameter(η), Schmidt number(Sc), buoyancy ratio parameter(N), Sherwood number(Sh), and time(t). Additionally, the general solutions are plotted graphically and a comprehensive theoretical section of numerical discussions is included. | Saeed Ullah Jan Sami Ul Haq Syed Inayat Ali Shah Ilyas Khan Muhammad Atif Khan | 2019 | Communications in Theoretical Physics2019，71，6： | 0 |
| 12 | Smart Devices Based Multisensory Approach for Complex Human Activity Recognition显示文摘Sensors based Human Activity Recognition(HAR)have numerous applications in eHeath,sports,fitness assessments,ambient assisted living(AAL),human-computer interaction and many more.The human physical activity can be monitored by using wearable sensors or external devices.The usage of external devices has disadvantages in terms of cost,hardware installation,storage,computational time and lighting conditions dependencies.Therefore,most of the researchers used smart devices like smart phones,smart bands and watches which contain various sensors like accelerometer,gyroscope,GPS etc.,and adequate processing capabilities.For the task of recognition,human activities can be broadly categorized as basic and complex human activities.Recognition of complex activities have received very less attention of researchers due to difficulty of problem by using either smart phones or smart watches.Other reasons include lack of sensor-based labeled dataset having several complex human daily life activities.Some of the researchers have worked on the smart phone’s inertial sensors to perform human activity recognition,whereas a few of them used both pocket and wrist positions.In this research,we have proposed a novel framework which is capable to recognize both basic and complex human activities using builtin-sensors of smart phone and smart watch.We have considered 25 physical activities,including 20 complex ones,using smart device’s built-in sensors.To the best of our knowledge,the existing literature consider only up to 15 activities of daily life. | Muhammad Atif Hanif Tallha Akram Aamir Shahzad Muhammad Attique Khan Usman Tariq Jung-In Choi Yunyoung Nam Zanib Zulfiqar | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 13 | An Abstractive Summarization Technique with Variable Length Keywords as per Document Diversity显示文摘Text Summarization is an essential area in text mining,which has procedures for text extraction.In natural language processing,text summarization maps the documents to a representative set of descriptive words.Therefore,the objective of text extraction is to attain reduced expressive contents from the text documents.Text summarization has two main areas such as abstractive,and extractive summarization.Extractive text summarization has further two approaches,in which the first approach applies the sentence score algorithm,and the second approach follows the word embedding principles.All such text extractions have limitations in providing the basic theme of the underlying documents.In this paper,we have employed text summarization by TF-IDF with PageRank keywords,sentence score algorithm,and Word2Vec word embedding.The study compared these forms of the text summarizations with the actual text,by calculating cosine similarities.Furthermore,TF-IDF based PageRank keywords are extracted from the other two extractive summarizations.An intersection over these three types of TD-IDF keywords to generate the more representative set of keywords for each text document is performed.This technique generates variable-length keywords as per document diversity instead of selecting fixedlength keywords for each document.This form of abstractive summarization improves metadata similarity to the original text compared to all other forms of summarized text.It also solves the issue of deciding the number of representative keywords for a specific text document.To evaluate the technique,the study used a sample of more than eighteen hundred text documents.The abstractive summarization follows the principles of deep learning to create uniform similarity of extracted words with actual text and all other forms of text summarization.The proposed technique provides a stable measure of similarity as compared to existing forms of text summarization. | Muhammad Yahya Saeed Muhammad Awais Muhammad Younas Muhammad Arif Shah Atif Khan M.Irfan Uddin Marwan Mahmoud | 2021 | Computers, Materials & Continua2021，，3： | 0 |
| 14 | Investigation of functional,physical,mechanical and thermal properties of TiO_2 embedded polyester hybrid composites:A design of experiment(DoE)study显示文摘This paper presents a study on the Design of Experiments(Do E) approach to optimize the fabrication parameters of titania(TiO_2) embedded glass fiber reinforced polyester hybrid composites(HCs). HCs of unsaturated polyester resin(UPR) were fabricated using methyl ethyl ketone peroxide(MEKP) as the curing agent by hand lay-up process(HLUP) and compression molding technique(CMT). The fabrication parameters were optimized by Taguchi Do E(an orthogonal array of L25) using 3 control factors(concentration of TiO_2, concentration of MEKP and curing temperature) having 5 levels each. Statistical tools were employed to identify significant factors affecting tensile strengths and its reproducibility during HLUP. It was found that the concentration of TiO_2 in HCs significantly influenced the tensile strength(TS) followed by MEKP concentration and curing temperature. The highest value of TS was obtained at 3 wt% TiO_2, 2 wt% MEKP and 80 °C. Nevertheless, the sensitivity of TiO_2 concentration was basis for fabrication of polyester titania glass fiber hybrids(PTGFHs), which were further investigated for density and void fractions, linear shrinkage, flexural strength, impact strength, hardness and thermal behaviors. Moreover, cross-linking and hydrogen-bonding between polymeric chains, styrene, silica content of glass fiber and TiO_2 particles in PTGFHs were confirmed by Fourier transform infrared spectroscopy. | Muhammad Azeem Munawar Dirk Wolfram Schubert Shahzad Maqsood Khan Muhammad Atiq Ur Rehman Nafisa Gulld Atif Islam Aneela Sabir Muhammad Shafiq Bilal Haider Mudassar Azam Saba Urooge Khan Monika M.Voigt | 2018 | Progress in Natural Science:Materials International2018，28，3： | 0 |
| 15 | K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks显示文摘Any number that can be uniquely determined by a graph is called graph invariants.During the most recent twenty years’innumerable numerical graph invariants have been described and used for correlation analysis.In the fast and advanced environment of manufacturing of networks and other products which used different networks,no dependable assessment has been embraced to choose,how much these invariants are connected with a network graph or molecular graph.In this paper,it will talk about three distinct variations of bridge networks with great capability of expectation in the field of computer science,chemistry,physics,drug industry,informatics,and mathematics in setting with physical and synthetic constructions and networks,since K-Banhatti invariants are newly introduced and have various forecast characteristics for various variations of bridge graphs or networks.The review settled the topology of bridge graph/networks of three unique sorts with three types of K-Banhatti Indices.These concluded outcomes can be utilized for the modeling of interconnection networks of Personal computers(PC),networks like Local area network(LAN),Metropolitan area network(MAN)and Wide area network(WAN),the spine of internet and different networks/designs of PCs,power generation interconnection,bio-informatics and chemical structures. | Khalid Hamid Muhammad Waseem Iqbal Erssa Arif Yasir Mahmood Ahmad Salman Khan Nazri Kama Azri Azmi Atif Ikram | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 16 | Aluminium phthalocyanine chloride thin films for temperature sensing显示文摘This study presents the fabrication and temperature sensing properties of sensors based on aluminium phthalocyanine chloride(AlPcCl)thin films.To fabricate the sensors,50-nm-thick electrodes with 50-μm gaps between them are deposited on glass substrates.AlPcCl thin films with thickness of 50–100 nm are deposited in the gap between electrodes by thermal evaporation.The resistance of the sensors decreases with increasing thickness and the annealing at 100℃ results in an increase in the initial resistance of sensors up to 24%.The sensing mechanism is based on the change in resistance with temperature.For temperature varying from 25℃ to 80℃,the change in resistance is up to 60%.Simulation is carried out and results obtained coincide with experimental data with an error of±1%. | Muhammad Tariq Saeed Chani Abdullah M.Asiri Kh.S.Karimov Atif Khan Niaz Sher Bhadar Khan Khalid.A.Alamry | 2013 | Chinese Physics B2013，22，11： | 0 |
| 17 | A discussion on cotton transformation during the last decade (2010–2021);an update on present trends and future prospects显示文摘The introduction of genetically modified(GM)cotton in 1996 in the US and its worldwide spread later rejuvenated cotton production in many parts of the world.The evolution is continued since then and currently,the 3rd and fourth generation of same GM cotton is grown in many parts of the world.The GM cotton introduced in 1996 was simple Bt cotton that expressed a single Cry1Ac gene,the later generation carried multiple Cry genes along with the genes controlling herbicide tolerance.Current day GM cotton does not only give stable resistance against lepidopteran insects but also facilitates the farmers to spray broad-spectrum herbicides without harming the crop.The evolution of GM cotton is continued both on the basic and applied side and interventions have been introduced during the last decade.Earlier the cotton transformation was limited to Cocker strains which are getting possible in many other varieties,too.It is successful with both gene gun,and Agrobacterium and inplanta transformation has made it a routine activity.Apart from overexpression studies for various purposes including biotic,abiotic,and quality traits,RNAi and genome editing are explored vigorously.Through this review,we have tried to explore and discuss various interventions for improving transformation protocols,the applications of cotton transformation,and future strategies being developed to get maximum benefits from this technology during the last decade. | QANDEEL‑E‑ARSH AZHAR Muhammad Tehseen ATIF Rana Muhammad ISRAR Mahwish KHAN Azeem Iqbal KHALID Shahzad RANA Iqrar Ahmad | 2021 | Journal of Cotton Research2021，4，4： | 0 |
| 18 | Automated Test Case Generation from Requirements: A Systematic Literature Review显示文摘Software testing is an important and cost intensive activity in software development.The major contribution in cost is due to test case generations.Requirement-based testing is an approach in which test cases are derivative from requirements without considering the implementation’s internal structure.Requirement-based testing includes functional and nonfunctional requirements.The objective of this study is to explore the approaches that generate test cases from requirements.A systematic literature review based on two research questions and extensive quality assessment criteria includes studies.The study identies 30 primary studies from 410 studies spanned from 2000 to 2018.The review’s nding shows that 53%of journal papers,42%of conference papers,and 5%of book chapters’address requirementsbased testing.Most of the studies use UML,activity,and use case diagrams for test case generation from requirements.One of the signicant lessons learned is that most software testing errors are traced back to errors in natural language requirements.A substantial amount of work focuses on UML diagrams for test case generations,which cannot capture all the system’s developed attributes.Furthermore,there is a lack of UML-based models that can generate test cases from natural language requirements by rening them in context.Coverage criteria indicate how efciently the testing has been performed 12.37%of studies use requirements coverage,20%of studies cover path coverage,and 17%study basic coverage. | Ahmad Mustafa Wan M.N.Wan-Kadir Noraini Ibrahim Muhammad Arif Shah Muhammad Younas Atif Khan Mahdi Zareei Faisal Alanazi | 2021 | Computers, Materials & Continua2021，，5： | 0 |
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