4篇
您的检索式：作者名="Muhammad Imran Babar"
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| 1 | Anxiolytic potential of ursolic acid derivative-a stearoyl glucoside isolated from Lantana camara L.(verbanaceae)显示文摘Objective:To investigate the anxiolytic activity of newly isolated compound by our lab called ursolic acid stearoyl glucoside(UASG) from the leaves of Lantana camam(L camam).Methods: Column chromatography was used to isolate UASG.Anxiolytic potential was experimentally proved and demonstrated through Elevated plus-maze,Open field and light and dark test. Results:The UASG showed marked increased in time spent(%) and number of frequent movements made by animals in open arm of elevated plus-maze apparatus.In light and dark model,UASG produced marked increase in time spent by animal,number of crossing and reduced duration of immobility in light box.Conclusions:UASG showed significant increase in number of rearing,assisted rearing and number of square crossed in open field established test model.UASG showed its anxiolytic effect in dose dependent manner. | Imran Kazmi Muhammad Afzal Babar Ali Zoheir A.Damanhouri Aftab Ahmaol Firoz Anwar | 2013 | Asian Pacific Journal of Tropical Medicine2013，6，6： | 2 |
| 2 | An Optimized Test Case Minimization Technique Using Genetic Algorithm for Regression Testing显示文摘Regression testing is a widely used approach to confirm the correct functionality of the software in incremental development.The use of test cases makes it easier to test the ripple effect of changed requirements.Rigorous testingmay help in meeting the quality criteria that is based on the conformance to the requirements as given by the intended stakeholders.However,a minimized and prioritized set of test cases may reduce the efforts and time required for testingwhile focusing on the timely delivery of the software application.In this research,a technique named Test Reduce has been presented to get a minimal set of test cases based on high priority to ensure that the web applicationmeets the required quality criteria.A new technique TestReduce is proposed with a blend of genetic algorithm to find an optimized and minimal set of test cases.The ultimate objective associated with this study is to provide a technique that may solve the minimization problem of regression test cases in the case of linked requirements.In this research,the 100-Dollar prioritization approach is used to define the priority of the new requirements. | Rubab Sheikh Muhammad Imran Babar Rawish Butt Abdelzahir Abdelmaboud Taiseer Abdalla Elfadil Eisa | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 3 | QoS Aware Multicast Routing Protocol for Video Transmission in Smart Cities显示文摘In recent years,Software Defined Networking(SDN)has become an important candidate for communication infrastructure in smart cities.It produces a drastic increase in the need for delivery of video services that are of high resolution,multiview,and large-scale in nature.However,this entity gets easily influenced by heterogeneous behaviour of the user’s wireless link features that might reduce the quality of video stream for few or all clients.The development of SDN allows the emergence of new possibilities for complicated controlling of video conferences.Besides,multicast routing protocol with multiple constraints in terms of Quality of Service(QoS)is a Nondeterministic Polynomial time(NP)hard problem which can be solved only with the help of metaheuristic optimization algorithms.With this motivation,the current research paper presents a new Improved BlackWidow Optimization with Levy Distribution model(IBWO-LD)-based multicast routing protocol for smart cities.The presented IBWO-LD model aims at minimizing the energy consumption and bandwidth utilization while at the same time accomplish improved quality of video streams that the clients receive.Besides,a priority-based scheduling and classifier model is designed to allocate multicast request based on the type of applications and deadline constraints.A detailed experimental analysis was carried out to ensure the outcomes improved under different aspects.The results from comprehensive comparative analysis highlighted the superiority of the proposed IBWO-LD model over other compared methods. | Khaled Mohamad Almustafa Taiseer Abdalla Elfadil Eisa Amani Abdulrahman Albraikan Mesfer Al Duhayyim Manar Ahmed Hamza Abdelwahed Motwakel Ishfaq Yaseen Muhammad Imran Babar | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 4 | Development of Molecular Marker Linked with Cercospora Leaf Spot (CLS) Disease Resistance in Vigna radiata, Cloning, and Expression for Evaluating Antifungal Activity against Cercospora canescens显示文摘We developed a molecular marker for MAS of mungbean resistant varieties against CLS from the consensus sequence(MB-CLsRG)of identified RGAs(MB-ClsRCaG1 and MB-ClsRCaG2).The MB-CLsRG sequence-specific primer pair was used to screen Cercospora leaf spot(CLS)resistant varieties of mungbean in genomic analysis that showed congruency with phenotypic screening.Validation of molecular marker linkage with CLS resistance was performed using rtPCR in transcriptomic analysis.The sequenced PCR products showed 100%homology with MB-CLsRG sequence and putative disease resistance proteins that confirmed the linkage of molecular marker with CLS resistance in mungbean.The antifungal potential of MB-CLsRG gene encoding protein was assessed.The MB-CLsRG gene sequence was cloned in the E.coli expression vector for recombinant protein production.The recombinant protein was then investigated for its in vitro antifungal potential against Cercospora canescens.The in vitro investigation showed strong antifungal activity of recombinant protein as it restricted the growth of fungal mycelial mass.The results validated the linkage of developed marker with CLS-resistant mungbean varieties;therefore,it can be used to screen resistant varieties from a large population in MAS.Moreover,the recombinant protein of the MB-CLsRG gene sequence revealed antifungal potential,which proved the gene sequence could be suitable to use in transgenic plants technology to develop fungal-resistant transgenic crops. | Maria Babar Siddra Ijaz Imran Ul Haq Muhammad Sarwar Khan | 2023 | Phyton-International Journal of Experimental Botany2023，92，4： | 0 |
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