|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 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 | A systematic review of evaluation of variability management approaches in software product lines显示文摘 | Lianping Chen Muhammad Ali Babar | 2011 | Information and Software Technology2011，53，4： | 1 |
| 3 | Managing Variability in Software Product Lines 显示文摘 | Babar Muhammad Ali Chen Lianping Shull Forrest | 2010 | IEEE Software2010，27，3： | 1 |
| 4 | Identifying relevant studies in software engineering显示文摘 | He Zhang Muhammad Ali Babar Paolo Tell | | 0，，06： | 1 |
| 5 | SC Currents Minimization in Distributed Generation Embedded Distribution Networks with Optimal Application of FCLs显示文摘For meeting the increased demand of electrical power,distributed generation(DG)based on renewable energy resources(RERs),has become a potential alternative to large plants based on fossil fuels.The power from environmentally friendly RERs is available at a competitive price due to technological advancements in recent times.Moreover,optimal allocation of DG at the distribution network(DN)level may result in power loss reduction,improvement in voltage profile and the network’s overall reliability.However,integration of DG may increase the short circuit(SC)level beyond the capacity of the protection gear,conductors,transformers and other components of a DN.The high short circuit currents(SCCs)may be reduced by application of a fault current limiter(FCL).However,most of the existing literature proposes optimization of FCLs size by considering only normal configurations of a DN.This approach is inappropriate as it may fail to produce the desired reduction in SCCs in different N−1 contingency scenarios.In this paper,a new strategy is presented that considers both normal as well as various contingency situations for optimal allocation of FCLs in a DN with DG connection.The strategy is implemented in the IEEE 30-bus system in a MATLAB environment using a genetic algorithm(GA).The simulation results prove that the proposed strategy is effective in determining the optimal FCLs size that restricts the SCCs to a safe level in different operating conditions including N−1 contingencies and thus,improves network safety and reliability.The strategy described in the paper can play an important role in DN planning involving optimal application of DG and FCLs. | Irtaza Sohail Babar Hussain M.Abubakar Intisar Ali Sajjad M.Faisal Nadeem Muhammad Sarwar | 2022 | CSEE Journal of Power and Energy Systems2022，8，5： | 1 |
| 6 | Prediction of promiscuous T-cell epitopes in the Zika virus polyprotein:An in silico approach显示文摘Objective:To predict immunogenic promiscuous T-cell epitopes from the polyprotein of the Zika virus using a range of bioinformatics tools.To date,no epitope data are available for the Zika virus in the IEDB database.Methods:We retrieved nearly 54 full length polyprotein sequences of the Zika virus from the NCBI database belonging to different outbreaks.A consensus sequence was then used to predict the promiscuous T cell epitopes that bind MHC 1 and MHC II alleles using Propred1 and Propred immunoinformatic algorithms respectively.The antigencity predicted score was also calculated for each predicted epitope using the Vaxi Jen 2.0 tool.Results:By using Pro Pred1,23 antigenic epitopes for HLA class I and 48 antigenic epitopes for HLA class II were predicted from the consensus polyprotein sequence of Zika virus.The greatest number of MHC class I binding epitopes were projected within the NS5(21%),followed by Envelope(17%).For MHC class II,greatest number of predicted epitopes were in NS5(19%) followed by the Envelope,NS1 and NS2(17% each).A variety of epitopes with good binding affinity,promiscuity and antigenicity were predicted for both the HLA classes.Conclusion:The predicted conserved promiscuous T-cell epitopes examined in this study were reported for the first time and will contribute to the imminent design of Zika virus vaccine candidates,which will be able to induce a broad range of immune responses in a heterogeneous HLA population.However,our results can be verified and employed in future efficacious vaccine formulations only after successful experimental studies. | Hamza Dar Tahreem Zaheer Muhammad Talha Rehman Amjad Ali Aneela Javed Gohar Ayub Khan Mustafeez Mujtaba Babar Yasir Waheed | 2016 | Asian Pacific Journal of Tropical Medicine2016，9，9： | 0 |
| 7 | Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing显示文摘The cloud service level agreement(SLA)manage the relationship between service providers and consumers in cloud computing.SLA is an integral and critical part of modern era IT vendors and communication contracts.Due to low cost and flexibility more and more consumers delegate their tasks to cloud providers,the SLA emerges as a key aspect between the consumers and providers.Continuous monitoring of Quality of Service(QoS)attributes is required to implement SLAs because of the complex nature of cloud communication.Many other factors,such as user reliability,satisfaction,and penalty on violations are also taken into account.Currently,there is no such policy of cloud SLA monitoring to minimize SLA violations.In this work,we have proposed a cloud SLA monitoring policy by dividing a monitoring session into two parts,for critical and non-critical parameters.The critical and non-critical parameters will be decided on the interest of the consumer during SLA negotiation.This will help to shape a new comprehensive SLA based Proactive Resource Allocation Approach(RPAA)which will monitor SLA at runtime,analyze the SLA parameters and try to find the possibility of SLA violations.We also have implemented an adaptive system for allocating cloud IT resources based on SLA violations and detection.We have defined two main components of SLA-PRAA i.e.,(a)Handler and(b)Accounting and Billing Manager.We have also described the function of both components through algorithms.The experimental results validate the performance of our proposed method in comparison with state-of-the-art cloud SLA policies. | Sami Ullah Khan Babar Nazir Muhammad Hanif Akhtar Ali Sardar Alam Usman Habib | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 8 | Mini-organs with big impact:Organoids in liver cancer studies显示文摘Hepatocellular carcinoma,the most common primary liver cancer and a leading cause of death,is a difficult disease to treat due to its heterogeneous nature.Traditional models,such as 2D culture and patient-derived xenografts,have not proven effective.However,the development of 3D culture techniques,such as organoids,which can mimic the tumor microenvironment(TME)and preserve heterogeneity and pathophysiological properties of tumor cells,offers new opportunities for treatment and research.Organoids also have the potential for biomarker detection and personalized medication,as well as genome editing using CRISPR/Cas9 to study the behavior of certain genes and therapeutic interventions.This review explores to-the-date development of organoids with a focus on TME modeling in 3D organoid cultures.Further,it discusses gene editing using CRISPR/Cas9 in organoids,the challenges faced,and the prospects in the field of organoids. | MUHAMMAD BABAR KHAWAR YAJUN WANG ANEEQA MAJEED ALI AFZAL KABEER HANEEF HAIBO SUN | 2023 | Oncology Research2023，31，5： | 0 |
| 9 | An Innovative Approach Utilizing Binary-View Transformer for Speech Recognition Task显示文摘The deep learning advancements have greatly improved the performance of speech recognition systems,and most recent systems are based on the Recurrent Neural Network(RNN).Overall,the RNN works fine with the small sequence data,but suffers from the gradient vanishing problem in case of large sequence.The transformer networks have neutralized this issue and have shown state-of-the-art results on sequential or speech-related data.Generally,in speech recognition,the input audio is converted into an image using Mel-spectrogram to illustrate frequencies and intensities.The image is classified by the machine learning mechanism to generate a classification transcript.However,the audio frequency in the image has low resolution and causing inaccurate predictions.This paper presents a novel end-to-end binary view transformer-based architecture for speech recognition to cope with the frequency resolution problem.Firstly,the input audio signal is transformed into a 2D image using Mel-spectrogram.Secondly,the modified universal transformers utilize the multi-head attention to derive contextual information and derive different speech-related features.Moreover,a feedforward neural network is also deployed for classification.The proposed system has generated robust results on Google’s speech command dataset with an accuracy of 95.16%and with minimal loss.The binary-view transformer eradicates the eventuality of the over-fitting problem by deploying a multiview mechanism to diversify the input data,and multi-head attention captures multiple contexts from the data’s feature map. | Muhammad Babar Kamal Arfat Ahmad Khan Faizan Ahmed Khan Malik Muhammad Ali Shahid Chitapong Wechtaisong Muhammad Daud Kamal Muhammad Junaid Ali Peerapong Uthansakul | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 10 | Multifaceted roles of extracellular RNAs in different diseases显示文摘Extracellular RNAs(exRNAs) are novel circulating factors that can be used as biomarkers in various diseases. Their unique and diverse kinds, as well as their role as biomarkers, make them significant biomarkers. There has been immense work carried out since the discovery of exRNAs in circulation and other biological fluids to catalog and determine whether exRNAs may be utilized as indicators for health and illness. In this review, we aim to understand the current state of exRNAs in relation to various diseases and their potential as biomarkers. We will also review current issues and challenges faced in using exRNAs, with clinical and lab trials, that can be used as viable markers for different diseases. | Abdullah Muhammad Sohail Muhammad Babar Khawar Ali Afzal Ali Hassan Sara Shahzaman Ahmed Ali | 2023 | Military Medical Research2023，10，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员