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| 1 | bidiesel production from waste tallow显示文摘 | Haq Nawaz B Muhammad Asif H Mohammad Q | 2008 | Fuel2008，13，87： | 1 |
| 2 | Dynamic biosorption of Zn (Ⅱ) and Cu (Ⅱ) using pretreated rosa gruss an teplitz (red rose) distillation sludge 显示文摘 | Haq Nawaz Bhatti Rabia Khalid Muhammad Asif Hanif | 2009 | Chemical Engineering Journal2009，148，： | 1 |
| 3 | Biodiesel production from waste tallow显示文摘 | HAQ NAWAZ BHATTI MUHAMMAD ASIF HANIF MOHAMMAD QASIM | 2008 | Fuel2008，87，13： | 1 |
| 4 | Biodiesel production from waste tallow显示文摘 | Haq Nawaz Bhatti Muhammad Asif Hanif Mohammad Qasim | 2008 | Fuel2008，87，1314： | 1 |
| 5 | Ki- netic and equilibrium studies of Cr( Ⅲ ) and Cr( Ⅵ ) sorption from aqueous solution using rosa gruss an teplitz (red rose)waste biomass 显示文摘 | Faiza Shafqat Haq Nawaz Bhatt Muhammad Asif Hanif | 2008 | Journal of the Chilean Chemical Society2008，53，4： | 1 |
| 6 | Integrated Catalyst of CuZnAl-Zr and Nb-HZSM-5 for One-Step Synthesis of Aromatics from Syngas显示文摘of main observation and conclusion The addition of Zr increased the dispersion and antisinitering of Cu species and Nb adjusted the HZSM-5 acidity.Bifunctional catalyst increased selectivity of aromatics to 39.8%,and 60.0%for durene in aromatics.A method for resolving the temperature mismatch between Cu-based catalysts and HZSM-5 zeolite is provided. | Wentao Xiao Minzhe Li Muhammad Asif Nawaz Lichong Xu Guiyao Song Shuo Yang Zihao Wang Dianhua Liu | 2020 | Chinese Journal of Chemistry2020，38，11： | 0 |
| 7 | Polyoxymethylene dimethyl ethers synthesis from methanol and formaldehyde solution over one-pot synthesized spherical mesoporous sulfated zirconia显示文摘The synthesis of polyoxymethylene dimethyl ethers as an ideal diesel fuel additive is the current hot topic of modern petrochemical industry for their expedient properties in mitigating air pollutants emission during combustion.In this work,a series of spherical sulfated zirconia catalysts were prepared by a one-pot hydrothermal method assisted with surfactant cetyltrimethylammonium bromide(CTAB).The prepared sulfated zirconia catalysts were used to catalyze PODEn synthesis from methanol and formaldehyde solution.Various characterization(XRD,BET,SEM,TGA,NH_(3)-TPD,FTIR,and Py-IR)were employed to elaborate the structure–activity relationship of the studied catalytic system.The results demonstrated that S/Zr molar ratio in precursor solution played an effective role on catalyst morphology and acidic properties,where the weak Brønsted acid sites and strong Lewis acid sites were favorable to the conversion of methanol and formation of long-chain PODEn,respectively.The reaction parameters such as catalyst amount,molar ratio of FA/MeOH,reaction time,temperature and pressure were optimized.The speculated reaction pathway for PODEn synthesis was proposed based on the synergy of Brønsted and Lewis acid sites,which suggested that Brønsted and Lewis acid sites might be advantageous to the activation of polyoxymethylene hemiformals[CH_(3)(OCH_(2))_(n)OH]and methylene glycol(HOCH_(2)OH),respectively. | Xiangjun Li Shujun Li Xiaoping Wang Muhammad Asif Nawaz Dianhua Liu | 2022 | Chinese Journal of Chemical Engineering2022，35，6： | 0 |
| 8 | Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary显示文摘Social media provide digitally interactional technologies to facilitate information sharing and exchanging individuals.Precisely,in case of disasters,a massive corpus is placed on platforms such as Twitter.Eyewitness accounts can benefit humanitarian organizations and agencies,but identifying the eyewitness Tweets related to the disaster from millions of Tweets is difficult.Different approaches have been developed to address this kind of problem.The recent state-of-the-art system was based on a manually created dictionary and this approach was further refined by introducing linguistic rules.However,these approaches suffer from limitations as they are dataset-dependent and not scalable.In this paper,we proposed a method to identify eyewitnesses from Twitter.To experiment,we utilized 13 features discovered by the pioneer of this domain and can classify the tweets to determine the eyewitness.Considering each feature,a dictionary of words was created with the Word Dictionary Maker algorithm,which is the crucial contribution of this research.This algorithm inputs some terms relevant to a specific feature for its initialization and then creates the words dictionary.Further,keyword matching for each feature in tweets is performed.If a feature exists in a tweet,it is termed as 1;otherwise,0.Similarly,for 13 features,we created a file that reflects features in each tweet.To classify the tweets based on features,Naïve Bayes,Random Forest,and Neural Network were utilized.The approach was implemented on different disasters like earthquakes,floods,hurricanes,and Forest fires.The results were compared with the state-of-the-art linguistic rule-based system with 0.81 F-measure values.At the same time,the proposed approach gained a 0.88 value of F-measure.The results were comparable as the proposed approach is not dataset-dependent.Therefore,it can be used for the identification of eyewitness accounts. | Shahzad Nazir Muhammad Asif Shahbaz Ahmad Hanan Aljuaid Shahbaz Ahmad Yazeed Ghadi Zubair nawaz | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 9 | Aspect-Based Sentiment Analysis for Social Multimedia:A Hybrid Computational Framework显示文摘People utilize microblogs and other social media platforms to express their thoughts and feelings regarding current events,public products and the latest affairs.People share their thoughts and feelings about various topics,including products,news,blogs,etc.In user reviews and tweets,sentiment analysis is used to discover opinions and feelings.Sentiment polarity is a term used to describe how sentiment is represented.Positive,neutral and negative are all examples of it.This area is still in its infancy and needs several critical upgrades.Slang and hidden emotions can detract from the accuracy of traditional techniques.Existing methods only evaluate the polarity strength of the sentiment words when dividing them into positive and negative categories.Some existing strategies are domain-specific.The proposed model incorporates aspect extraction,association rule mining and the deep learning technique Bidirectional EncoderRepresentations from Transformers(BERT).Aspects are extracted using Part of Speech Tagger and association rulemining is used to associate aspects with opinion words.Later,classification was performed using BER.The proposed approach attained an average of 89.45%accuracy,88.45%precision and 85.98%recall on different datasets of products and Twitter.The results showed that the proposed technique achieved better than state-of-the-art sentiment analysis techniques. | Muhammad Rizwan Rashid Rana Saif Ur Rehman Asif Nawaz Tariq Ali Azhar Imran Abdulkareem Alzahrani Abdullah Almuhaimeed | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 10 | Sustainable Learning of Computer Programming Languages Using Mind Mapping显示文摘In the current era of information technology,students need to learn modern programming languages efficiently.The art of teaching/learning program-ming requires many logical and conceptual skills.So it’s a challenging task for the instructors/learners to teach/learn these programming languages effectively and efficiently.Mind mapping is a useful visual tool for establishing ideas and connecting them to solve problems.This research proposed an effective way to teach programming languages through visual tools.This experimental study uses a mind mapping tool to teach two programming environments:Text-based Programming and Blocks-based Programming.We performed the experiments with one hundred and sixty undergraduate students of two public sector universities in the Asia Pacific region.Four different instructional approaches,including block-based language(BBL),text-based languages(TBL),mind map with text-based language(MMTBL)and mind mapping with block-based(MMBBL)are used for this purpose.The results show that instructional approaches using a mind mapping tool to help students solve given tasks in their critical thinking are more effective than other instructional techniques. | Shahla Gul Muhammad Asif Zubair Nawaz Muhammad Haris Aziz Shahzada Khurram Muhammad Qaiser Saleem Elturabi Osman Ahmed Habib Muhammad Shafiq Osama E.Sheta | 2023 | Intelligent Automation & Soft Computing2023，，5： | 0 |
| 11 | 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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