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| 1 | Safety and efficacy of 1-week levofloxacin-based triple therapy in first-line treatment for Helicobacter pylori -related peptic ulcer disease in Kashmir, India显示文摘 | Altaf Shah Gul Javid Showkat Ali Zargar Farooq Teli Bashir Ahmad Khan Ghulam Nabi Yattoo Ghulam Mohammad Gulzar Jaswinder Singh Sodhi Mushtaq Ahmad Khan Abid Shoukat Reyaz Saif | 2013 | Indian Journal of Gastroenterology2013，，1： | 1 |
| 2 | Dioxovanadium(V) and μ-oxo bis complexes containing thiosemicarbazone based ONS donor set and their antiamoebic activity显示文摘 | Mannar R Maurya Amit Kumar Mohammad Abid | 2006 | Inorganica Chimica Acta2006，359，： | 1 |
| 3 | Determination of Left Ventricular Mass by Echocardiography in Normotensive Type 2 Diabetic Patients 显示文摘 | Mohammad Abid Abdul-Hussein Hussain S AI-Janabi | 2008 | Journal of Kerbala U- niversity2008，6，3： | 1 |
| 4 | Clinical outcomes of the Ilizarov Method after an Infected Tibial Non Union显示文摘 | Mohammad Shahid Abid Hussain Phillipa Bridgeman | 2013 | Archives of Trauma Re- search2013，2，2： | 1 |
| 5 | Nanoparticle Shape Effect on a Sodium–Alginate Based Cu–Nanofluid under a Transverse Magnetic Field显示文摘Sodium-alginate(SA)based nanofluids represent a new generation of fluids with improved performances in terms of heat transfer.This work examines the influence of the nanoparticle shape on a non–Newtonian viscoplastic Cu–nanofluid pertaining to this category.In particular,a stretching/shrinking sheet subjected to a transverse magnetic field is considered.The proposed Cu–nanofluid consists of four different nanoparticles having different shapes,namely bricks,cylinders,platelets,and blades dispersed in a mixture of sodium alginate with Prandtl number Pr=6.45.Suitable similarity transformations are employed to reduce non–linear PDEs into a system of ODEs and these equations and related boundary conditions are solved numerically by means of a Runge–Kutta–Fehlberg(RKF)method.Moreover,analytical solutions are obtained through the application of a MAPLE built–in differential equation solver(Dsolve).The behavior of prominent parameters against velocity and temperature is analyzed.It is found that the temperature increases for all shapes of nanoparticles with the viscoplastic parameter and the Eckert number. | Samia Rani H.A.M.Al–Sharifi Mohammad S.Zannon Abid Hussanan Zafar Ullah | 2023 | Fluid Dynamics & Materials Processing2023，19，7： | 1 |
| 6 | Novel Pd (Ⅱ) complexes of 1-N-substituted 3-phenyl-2-pyrazoline derivatives and evaluation of antiamoebic activity 显示文摘 | Kakul Husain Mohammad Abid Amir Azam | 2008 | European Journal of Medicinal Chemistry2008，43，： | 1 |
| 7 | Green5G: Enhancing Capacity and Coverage in Device-to-Device Communication显示文摘With the popularity of green computing and the huge usage of networks,there is an acute need for expansion of the 5G network.5G is used where energy efficiency is the highest priority,and it can play a pinnacle role in helping every industry to hit sustainability.While in the 5G network,conventional performance guides,such as network capacity and coverage are still major issues and need improvements.Device to Device communication(D2D)communication technology plays an important role to improve the capacity and coverage of 5G technology using different techniques.The issue of energy utilization in the IoT based system is a significant exploration center.Energy optimizationin D2D communication is an important point.We need to resolve this issue for increasing system performance.Green IoT speaks to the issue of lessening energy utilization of IoT gadgets which accomplishes a supportable climate for IoT systems.In this paper,we improve the capacity and coverage of 5G technology using Multiple Inputs Multiple Outputs(MU-MIMO).MUMIMO increases the capacity of 5G in D2D communication.We also present all the problems faced by 5G technology and proposed architecture to enhance system performance. | Abdul Rehman Javed Rabia Abid Bakhtawar Aslam Hafiza Ammara Khalid Mohammad Zubair Khan Omar H.Alhazmi Muhammad Rizwan | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 8 | ROLE OF ACULASER THERAPY IN CEREBRAL PALSY CHILDERN (INITIAL DATA & RESULTS)显示文摘A single, open and non-comparative study was conducted at Anwar Shah’s First C.P. & Paralysis Clinic and Research Center to evaluate the effects of Aculaser (acupoint-laser) Therapy for children suffering from cerebral palsy (CP) of various types. These children were further classified according to their major complaints. Analysis of the data indicated that 11 children with severe spasticity and stiffness all showed marked improvement (100% success rate); of the 8 children with epileptic fits, 6 patients had a significant reduction in the intensity, frequency and duration of epileptic fits, while the rest 2 cases showed no any improvement or aggravation (75% success rate); out of 5 children with cortical blindness, 2 cases showed complete recovery of vision and 3 had marked improvement (40% cure rate); out of 4 children with hearing difficulties, 2 showed marked improvement (50% success rate); out of 14 children with aphasis, 8 showed improvement (57% improvement rate). Results of this study show that Aculaser Therapy has a high improvement rate of CP children, not only improving the spasticity and stiffness but also the cortical blindness, epilepsy, deafness and speech. | Shahzad Anwar Malik Mohammad Nadeem Khan Imtiaz Ahmed Abid Hareef Awan | 2004 | World Journal of Acupuncture-Moxibustion2004，14，1： | 0 |
| 9 | Optimizing Energy Conservation in V2X Communications for 5G Networks显示文摘The smart vehicles are one of critical enablers for automated services in smart cities to provide intelligent transportation means without human intervention.In order to fulfil requirements,Vehicle-to-Anything(V2X)communications aims to manage massive connectivity and high traffic load on base stations and extend the range over multiple hops in 5G networks.However,V2X networking faces several challenges from dynamic topology caused by high velocity of nodes and routing overhead that degrades the network performance and increases energy consumption.The existing routing scheme for V2X networking lacks energy efficiency and scalability for high velocity nodes with dense distribution.In order to handle the challenges,this article proposes a scalable and energy-efficient routing scheme called Dynamic proactive reactive routing for 5G(DPR5)for high mobility speed and dense environment.As compared to existing schemes it uses a single routing table and efficiently minimizes the energy consumption in dense environment,improves node‘s lifetime upto 42%,and optimizes network performance by reducing the packet loss ratio upto 46%in a high velocity dense environment. | Arif Husen Abid Soahil Mohammad Hijji Muhammad Hasanain Chaudary Farooq Ahmed 无 | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 10 | Multilingual Sentiment Mining System to Prognosticate Governance显示文摘In the age of the internet,social media are connecting us all at the tip of our fingers.People are linkedthrough different social media.The social network,Twitter,allows people to tweet their thoughts on any particular event or a specific political body which provides us with a diverse range of political insights.This paper serves the purpose of text processing of a multilingual dataset including Urdu,English,and Roman Urdu.Explore machine learning solutions for sentiment analysis and train models,collect the data on government from Twitter,apply sentiment analysis,and provide a python library that classifies text sentiment.Training data contained tweets in three languages:English:200k,Urdu:200k and Roman Urdu:11k.Five different classification models are applied to determine sentiments,and eventually,the use of ensemble technique to move forward with the acquired results is explored.The Logistic Regression model performed best with an accuracy of 75%,followed by the Linear Support Vector classifier and Stochastic Gradient Descent model,both having 74%accuracy.Lastly,Multinomial Naïve Bayes and Complement Naïve Bayes models both achieved 73%accuracy. | Muhammad Shahid Bhatti Saman Azhar Abid Sohail Mohammad Hijji Hamna Ayemen Areesha Ramzan | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 11 | Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City显示文摘The world is rapidly changing with the advance of information technology.The expansion of the Internet of Things(IoT)is a huge step in the development of the smart city.The IoT consists of connected devices that transfer information.The IoT architecture permits on-demand services to a public pool of resources.Cloud computing plays a vital role in developing IoT-enabled smart applications.The integration of cloud computing enhances the offering of distributed resources in the smart city.Improper management of security requirements of cloud-assisted IoT systems can bring about risks to availability,security,performance,condentiality,and privacy.The key reason for cloud-and IoT-enabled smart city application failure is improper security practices at the early stages of development.This article proposes a framework to collect security requirements during the initial development phase of cloud-assisted IoT-enabled smart city applications.Its three-layered architecture includes privacy preserved stakeholder analysis(PPSA),security requirement modeling and validation(SRMV),and secure cloud-assistance(SCA).A case study highlights the applicability and effectiveness of the proposed framework.A hybrid survey enables the identication and evaluation of signicant challenges. | Muhammad Usman Tariq Muhammad Babar Mian Ahmad Jan Akmal Saeed Khattak Mohammad Dahman Alshehri Abid Yahya | 2021 | Computers, Materials & Continua2021，，4： | 0 |
| 12 | Development and characterization of SSR markers in Himalayan species Betula utilis显示文摘Betula utilis D.Don.is an important species of alpine Himalaya and forms the major treeline component of western Himalaya.The different populations of B.utilis are declining and are under high risk.In the present study,novel expressed sequence tag-simple sequence repeat(EST-SSR)primers were developed from expressed sequence tag(EST)data of different Betula species.Of the10,796 designed primers,the percentages of di-,tri-,tetra-,penta-,and hexa-repeats were 36%,35%,15%,5.5%and7.7%,respectively.For validation,50 primers were synthesized randomly and were characterized in 20 different B.utilis accessions from north-western Himalaya.Of these,45 primers amplified fragments in a range of 1-6.The 24 polymorphic primers produced 111 fragments in aggregate with 4.6 fragments on average.Polymorphism information content(PIC)ranged from 0.288 in marker BUMS-24 to 0.497 in BUMS-3 and BUMS-7,with an average of 0.447 among polymorphic markers.Dendrogram based on Jaccard’s similarity coefficient and UPGMA method showed that newly developed SSR markers distinguished twenty accessions of B.utilis into two groups.As no SSR markers were available in this species,the newly developed markers will foster molecular genetics research and conservation efforts for this species. | Mohammad Saleem Wani Vikas Sharma Raghbir Chand Gupta Abid Hussain Munshi | 2020 | Journal of Forestry Research2020，31，4： | 0 |
| 13 | Adaptation of Artificial Intelligence to Predict Concrete Strength显示文摘 | Ali Laftaa Abbas Suhad Mohammad Abid Jinan Laftaa Abbas | 2013 | 材料科学与工程(中英文B版)2013，3，10： | 0 |
| 14 | Defending Adversarial Examples by a Clipped Residual U-Net Model显示文摘Deep learning-based systems have succeeded in many computer vision tasks.However,it is found that the latest study indicates that these systems are in danger in the presence of adversarial attacks.These attacks can quickly spoil deep learning models,e.g.,different convolutional neural networks(CNNs),used in various computer vision tasks from image classification to object detection.The adversarial examples are carefully designed by injecting a slight perturbation into the clean images.The proposed CRU-Net defense model is inspired by state-of-the-art defense mechanisms such as MagNet defense,Generative Adversarial Net-work Defense,Deep Regret Analytic Generative Adversarial Networks Defense,Deep Denoising Sparse Autoencoder Defense,and Condtional Generattive Adversarial Network Defense.We have experimentally proved that our approach is better than previous defensive techniques.Our proposed CRU-Net model maps the adversarial image examples into clean images by eliminating the adversarial perturbation.The proposed defensive approach is based on residual and U-Net learning.Many experiments are done on the datasets MNIST and CIFAR10 to prove that our proposed CRU-Net defense model prevents adversarial example attacks in WhiteBox and BlackBox settings and improves the robustness of the deep learning algorithms especially in the computer visionfield.We have also reported similarity(SSIM and PSNR)between the original and restored clean image examples by the proposed CRU-Net defense model. | Kazim Ali Adnan N.Qureshi Muhammad Shahid Bhatti Abid Sohail Mohammad Hijji | 2023 | Intelligent Automation & Soft Computing2023，，2： | 0 |
| 15 | Yield and Profit from New and Old Wheat Varieties Using Certified and Farmer-Saved Seeds显示文摘 | Krishna Dev Joshi Attiq Ur Rehrnan Ghulam Ullah Amanullah Baloch Makhdoom Hussain Javed Ahmad Mohammad Ishaq Gulzar Ahmad Nadeem Abroad Syed Haider Abbas Maqsood Qamar Mumtaz Abroad Abid Ilyas Dar Badar-uddin Khokhar Muhammad Sajid Akhlaq Hussain Muhammad Imtiaz | 2016 | Journal of Agricultural Science and Technology(B)2016，6，3： | 0 |
| 16 | Competency Driven Resource Evaluation Method for Business Process Intelligence显示文摘Enterprises are continuously aiming at improving the execution of processes to achieve a competitive edge.One of the established ways of improving process performance is to assign the most appropriate resources to each task of the process.However,evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way,is missing.It is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also ignored.To address this problem an integrated resource classification framework is presenting that identifies competence,suitability,and preference as the relationship of task with resources.But,only the competence relationship of human resources with a task is presented in this research as a resource competence model.Furthermore,the competency calculation method is presented as a user guider layer for business process intelligencebased resource competence evaluation.The computed capabilities serve as a basic input for choosing the most appropriate resources for each task of the process.Applicability of method is illustrated through a heathcare case study. | Abid Sohail Dhanapal Durai Dominic Mohammad Hijji Muhammad Arif Butt | 2021 | Computers, Materials & Continua2021，，10： | 0 |
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