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| 1 | Degradation of malathion by Pseudomonas during activated sludge treatment system using principal component analysis (PCA)显示文摘Popular descriptive multivariate statistical method currently employed is the principal component analyses (PCA) method. PCA is used to develop linear combinations that successively maximize the total variance of a sample where th ere is no known group structure. This study aimed at demonstrating the performan ce evaluation of pilot activated sludge treatment system by inoculating a strain of Pseudomonas capable of degrading malathion which was isolated by enrichment technique. An intensive analytical program was followed for evaluating the effic iency of biosimulator by maintaining the dissolved oxygen (DO) concentration at 4.0 mg/L. Analyses by high performance liquid chromatographic technique revealed that 90% of malathion removal was achieved within 29 h of treatment whereas COD got reduced considerably during the treatment process and mean removal efficien cy was found to be 78%. The mean pH values increased gradually during the treatm ent process ranging from 7.36—8.54. Similarly the mean ammonia-nitrogen (NH3-N) values were found to be fluctuating between 19.425—28.488 mg/L, mean nitrite-n itrogen (NO3-N) ranging between 1.301—2.940 mg/L and mean nitrate-nitrogen (NO3 -N) ranging between 0.0071—0.0711 mg/L. The study revealed that inoculation of bacterial culture under laboratory conditions could be used in bioremediation of environmental pollution caused by xenobiotics. The PCA analyses showed that pH, COD, organic load and total malathion concentration were highly correlated and emerged as the variables controlling the first component, whereas dissolved oxyg en, NO3-N and NH3-N governed the second component. The third component repeated the trend exhibited by the first two components. | Hashmi Imran Khan M Altaf Kim Jong-Guk | 2006 | Journal of Environmental Sciences2006，18，4： | 3 |
| 2 | Lymph Node Ratio Versus Number of Affected Lymph Nodes as Predictors of Survival for Resected Pancreatic Adenocarcinoma显示文摘 | Imran Bhatti Oliver Peacock Altaf K. Awan David Semeraro Michael Larvin Richard I. Hall | 2010 | World Journal of Surgery2010，，4： | 1 |
| 3 | Anomaly Based Camera Prioritization in Large Scale Surveillance Networks显示文摘Digital surveillance systems are ubiquitous and continuously generate massive amounts of data,and manual monitoring is required in order to recognise human activities in public areas.Intelligent surveillance systems that can automatically identify normal and abnormal activities are highly desirable,as these would allow for efficient monitoring by selecting only those camera feeds in which abnormal activities are occurring.This paper proposes an energy-efficient camera prioritisation framework that intelligently adjusts the priority of cameras in a vast surveillance network using feedback from the activity recognition system.The proposed system addresses the limitations of existing manual monitoring surveillance systems using a three-step framework.In the first step,the salient frames are selected from the online video stream using a frame differencing method.A lightweight 3D convolutional neural network(3DCNN)architecture is applied to extract spatio-temporal features from the salient frames in the second step.Finally,the probabilities predicted by the 3DCNN network and the metadata of the cameras are processed using a linear threshold gate sigmoid mechanism to control the priority of the camera.The proposed system performs well compared to state-of-theart violent activity recognition methods in terms of efficient camera prioritisation in large-scale surveillance networks.Comprehensive experiments and an evaluation of activity recognition and camera prioritisation showed that our approach achieved an accuracy of 98%with an F1-score of 0.97 on the Hockey Fight dataset,and an accuracy of 99%with an F1-score of 0.98 on the Violent Crowd dataset. | Altaf Hussain Khan Muhammad Hayat Ullah Amin Ullah Ali Shariq Imran Mi Young Lee Seungmin Rho Muhammad Sajjad | 2022 | Computers, Materials & Continua2022，，2： | 1 |
| 4 | Lymph Node Ratio Versus Number of Affected Lymph Nodes as Predictors of Survival for Resected Pancreatic Adenocarcinoma显示文摘 | Imran Bhatti Oliver Peacock Altaf K. Awan David Semeraro Michael Larvin Richard I. Hall | 2010 | World Journal of Surgery2010，，4： | 1 |
| 5 | Lymph Node Ratio Versus Number of Affected Lymph Nodes as Predictors of Survival for Resected Pancreatic Adenocarcinoma显示文摘 | Imran Bhatti Oliver Peacock Altaf K. Awan David Semeraro Michael Larvin Richard I. Hall | 2010 | World Journal of Surgery2010，，4： | 1 |
| 6 | The circulation of unique reassortment strains of infectious bursal disease virus in Pakistan显示文摘Infectious bursal disease(IBD),caused by IBD virus(IBDV),is one of the most devastating and immunosuppressive diseases of the poultry and has been a constraint on the sustainable poultry production around the globe including Pakistan.While the disease is threatening the poulty industry,the nature of predominant strains of IBDV in Pakistan remained l-defined.In this study,an epidemiology survey was conducted in the main chicken-farming regions of Pakistan.The batch of Pakistan IBDVs genes simultaneously covering both VP1 and VP2 were amplified,sequenced,and analyzed.The unique segment-reassortant IBDVs(vv-A/Uniq-B),carrying segmentA from vvIBDV and segment B from one unique ancestor,were identifed as one important type of circulating strains in Pakistan.The data also discovered the characteristic molecular features of Pakistan IBDVs,which will contribute to scientific vaccine selection and effective prevention of the disease. | Altaf HUSSAIN WU Tian-tian FAN Lin-jin WANG Yu-long Farooq Khalid MUHAMMAD JIANG Nan GAO Li LI Kai GAO Yu-long LIU Chang-jun CUI Hong-yu PAN Qing ZHANG Yan-ping Asim ASLAM Khan MUTI-UR-REHMAN Muhammad Imran ARSHAD Hafiz Muhammad ABDULLAH WANG Xiao-mei QI Xiao-le | 2020 | Journal of Integrative Agriculture2020，19，7： | 1 |
| 7 | 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显示文摘In 2019,the newly emerged SARS-CoV-2 virus caused pneumonia-like illness.The disease rapidly spread globally,leading to a worldwide outbreak referred to as the COVID-19 pandemic. | 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 | 2021 | Biomedical and Environmental Sciences2021，34，9： | 0 |
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