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Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration

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Computers, Materials & Continua 2024年第5期79卷 3333-3353页

作者： Aiman muhammad Arshad Bilal Khan Sadique Ahmad muhammad asim Department of Computer Science City University of Science and Information TechnologyPeshawar25000Pakistan EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China

Author Profiling (AP) is a subsection of digital forensics that focuses on the detection of the author’s personalinformation, such as age, gender, occupation, and education, based on various linguistic features, e.g., stylistic,semantic, and syntactic. The importance of AP lies in various fields, including forensics, security, medicine, andmarketing. In previous studies, many works have been done using different languages, e.g., English, Arabic, French,***, the research on RomanUrdu is not up to the ***, this study focuses on detecting the author’sage and gender based on Roman Urdu text messages. The dataset used in this study is Fire’18-MaponSMS. Thisstudy proposed an ensemble model based on AdaBoostM1 and Random Forest (AMBRF) for AP using multiplelinguistic features that are stylistic, character-based, word-based, and sentence-based. The proposed model iscontrasted with several of the well-known models fromthe literature, including J48-Decision Tree (J48),Na飗e Bays(NB), K Nearest Neighbor (KNN), and Composite Hypercube on Random Projection (CHIRP), NB-Updatable,RF, and AdaboostM1. The overall outcome shows the better performance of the proposed AdaboostM1 withRandom Forest (ABMRF) with an accuracy of 54.2857% for age prediction and 71.1429% for gender predictioncalculated on stylistic features. Regarding word-based features, age and gender were considered in 50.5714% and60%, respectively. On the other hand, KNN and CHIRP show the weakest performance using all the linguisticfeatures for age and gender prediction.

关键词： Digital forensics author profiling for security AdaBoostM1 random forest ensemble learning

Teicoplanin is a potential inhibitor of SARS CoV-2 replication enzymes:A docking study

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Asian Pacific Journal of Tropical Biomedicine 2020年第12期10卷 563-568页

作者： Aatika Sadia muhammad Azam muhammad asim Raza Basra Institute of Chemistry University of the PunjabNew CampusLahore-54590Pakistan

Objective:To explore potential inhibitors of viral enzymes of SARS ***:The in-silico docked potential of anti-viral,antibiotic,and analgesic drugs were studied for inhibition of the nonstructural protein(NSP)9,NSP3,and NSP15 of SARS CoV-2 using recent structural peculiarities of these enzymes,3 D optimized structures of drugs and algorithm-based ligand inhibitory ***:Teicoplanin,azithromycin,and remdesivir potentially inhibited NSP9(Dock-score 9620,5472 and 6252,respectively),NSP3(Dock-score 9846,5604 and 5548,respectively)and NSP15(Dock-score 10960,6414 and 6002,respectively).Conclusions:Teicoplanin acts as a significant receptor antagonist and potentially inhibits the SARS CoV-2 enzymes.

关键词： Molecular docking Oxicam Antibiotics Antiviral SARS CoV-2

Highly active sites of NiVB nanoparticles dispersed onto graphene nanosheets towards efficient and pH-universal overall water splitting

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Journal of Energy Chemistry 2021年第7期30卷 237-246页

作者： muhammad Arif Ghulam Yasin muhammad Shakeel muhammad asim Mushtaq Wen Ye Xiaoyu Fang Shengfu Ji Dongpeng Yan Beijing Key Laboratory of Energy Conversion and Storage Materials College of ChemistryBeijing Normal UniversityBeijing 100875China State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029China College of Chemistry and Molecular Engineering Zhengzhou UniversityZhengzhou 450001HenanChina

Production of hydrogen(H2) and oxygen(O2) through electrocatalytic water splitting is one of the sustainable,green and pivotal ways to accomplish the ever-increasing demands for renewable energy sources,but remains a big challenge because of the uphill reaction during overall water ***,we develop high-performance non-noble metal electrocatalysts for pH-universal water splitting,based on nickel/vanadium boride(NiVB) nanoparticles/reduced graphene oxide(rGO) hybrid(NiVB/rGO)through a facile chemical reduction approach under ambient *** virtue of more exposure to surface active sites,superior electron transfer capability and strong electronic coupling,the asprepared NiVB/rGO heterostructure needs pretty low overpotentials of 267 and 151 mV to deliver a current density of 10 mA cm^(-2) for oxygen evolution reaction(OER) and hydrogen evolution reaction(HER)respectively,with the corresponding Tafel slope of 44 and 88 mV dec^(-1) in 1.0 M ***,the NiVB/rGO electrocatalysts display a promising performance in a wide-pH conditions that require low overpotential of 310,353 and 489 mV to drive a current density of 10 mA cm^(-2) for OER under 0.5 M KOH,0.05 M H2SO4 and 1.0 M phosphate buffer solution(PBS) respectively,confirming the excellent electrocata lytic performance among state-of-the-art Ni-based electrocatalysts for overall water ***,the interfacial tuning based on incorporation of active heterostructure may pave a new route to develop bifunctional,cost-effective and efficient electrocatalyst systems for water splitting and H2 production.

关键词： Electrocatalysis Oxygen evolution reaction Hydrogen evolution reaction NiVB/rGO heterostructure pH-universal

Applications of variogram modeling to electrical resistivity data for the occurrence and distribution of saline groundwater in Domail Plain,northwestern Himalayan fold and thrust belt,Pakistan

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Journal of Mountain Science 2017年第1期14卷 158-174页

作者： Asam FARID Perviez KHALID Khan Zaib JADOON muhammad asim IQBAL muhammad SHAFIQUE Institute of Geology University of Punjab P. O. Box 54590 Lahore Pakistan Department of Civil Engineering Comsats Institute of lnformation Technology Abbottabad 22010 Pakistan Department of Petroleum Geosciences The Petroleum Institute P. O. Box 2533 Abu Dhabi United Arab Emirates National Centre of Excellence in Geology University of Peshawar Pakistan

This paper studies electrical resistivity dataset acquired for a groundwater study in the Domail Plain in the northwestern Himalayan section of Pakistan. Through a combination of geostatistical analysis,geophysical inversion and visualization techniques,it is possible to re-model and visualize the single dimension resistivity data into 2D and 3D *** variogram models are utilized to extend the interpretation of the data and to distinguish individual lithologic units and the occurrence of saline water within the subsurface. The resistivity data has been calibrated with the lithological logs taken from the available boreholes. As such the alluvial system of the Domail Plain has formed during episodes of local tectonic activity with fluvial erosion and depositionyielding coarse sediments with high electrical resistivities near to the mountain ranges and finer sediments with medium to low electrical resistivities which tend to settle in the basin center. Thus a change is depositional setting happened from basin lacustrine environment to flash flooding during the Himalayan orogeny. The occurrence of rock salt in the northern mountains has imparted a great influence on the groundwater quality of the study area. The salt is dissolved by water which infiltrates into the subsurface through the water channels. Variogram aided gridding of resistivity data helps to identify the occurrence and distribution of saline water in the subsurface.

关键词： Inversion Domail Resistivity Variogram Gridding

Instagram Mobile Application Digital Forensics

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Computer Systems Science & Engineering 2021年第5期37卷 169-186页

作者： muhammad asim Mubarik Zhijian Wang Yunyoung Nam Seifedine Kadry muhammad Azam waqar College of Information and Computer Science Hohai UniversityNanjing210098China Department of Computer Science and Engineering Soonchunhyang UniversityAsan336811Korea Department of Mathematics and Computer Science Beirut Arab UniversityBeirut000000Lebanon School of Business Management NFC Institute of Engineering&Fertilizer ResearchFaisalabad38800Pakistan

In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,*** plugin extracts personal details from Instagram users,e.g.,name,user name,mobile number,ID,direct text or audio,video,and picture messages exchanged between different Instagram *** developing the plugin,we identified resources available in both Android and IOS-based devices holding key forensics *** highlighted the poor privacy scheme employed by *** work,has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed,and how the traces,as well as the URL links of visual messages,can be used to access the privacy of any Instagram user without any critical credential *** also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file,which any criminal mind can use to set up or trap someone *** outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones.

关键词： Digital forensics Instagram mobile application forensics antiforensics forensics framework plugin

Effects of Knowledge Management,Teacher’s Job Satisfaction,and Total Quality Management on School Performance:A Case of Pakistan

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Effects of Knowledge Management,Teacher’s Job Satisfaction,...

作者： muhammad asim 江苏大学

学位级别：硕士

在巴基斯坦教育系统中学校聘用和分配教师存在的主要问题包括低效、徇私、贪污、管理不善和裙带关系。同时,教育部门的腐败也是学者们担心的问题,如虚假的工资账户、经济贫困地区的学校以及缺乏学生和教师使用的设施。此外,因国家的社... 详细信息

在巴基斯坦教育系统中学校聘用和分配教师存在的主要问题包括低效、徇私、贪污、管理不善和裙带关系。同时,教育部门的腐败也是学者们担心的问题,如虚假的工资账户、经济贫困地区的学校以及缺乏学生和教师使用的设施。此外,因国家的社会经济水平不同,存在多种教学模式以及信息分布方式。目前的研究还发现,精英阶层的学校相当昂贵,中产阶级的孩子无法进入。与此同时,巴基斯坦目前的失学儿童人数位居世界第二,约有2280万5至16岁的儿童失学,占总人口的44%。此外,由于表现不佳,500万5-9岁年龄组的年轻人没有升入中学。巴基斯坦的识字率极低,在农村地区情况更为严重。因此,公共和私营部门当局和机构应当审查能够改善其业绩的因素。而本文研究的目标是揭露能够帮助学校管理者提高其学校整体绩效的关键特征。本文对所提出的模型进行了测试,并使用定量方法对计算结果进行了概括。为了从学校代表那里收集数据,采用了基于5分李克特量表的封闭式问卷,并通过互联网发放了调查问卷。经过六个月的数据收集,总共获得了390份有效样本。借助结构方程模型、社会科学统计软件包（SPSS）和Smart PLS 3.0进行定量数据分析。研究结果表明,为了提高学校绩效,巴基斯坦各地学校必须注重知识管理、教师工作满意度以及全面质量管理这些技术方法。根据研究,在学校绩效改善方面,知识管理占据了73.1%,教师工作满意度占据了11.3%,全面质量管理占据了9.9%。此外,知识管理对教师工作满意度和全面质量管理的影响分别有51.5%和59.6%。全面质量管理中对教师工作满意度的影响为36.6%。教师工作满意度对知识管理、全面质量管理和学校绩效之间的关系起着中介作用,全面质量管理在知识管理和学校绩效之间起到了中介作用。本研究有多项理论和实践成果。在理论方面,本文是巴基斯坦在学校教育领域的实证研究,也是对巴基斯坦和其他发展中国家学校绩效方面问题的少数梳理文献之一。此外,本文给巴基斯坦等发展中国家的学校管理者提供了一项全面的研究,调查了可能对学校表现产生重大影响的各种问题。与此同时,本研究通过纳入提高学校绩效的技术方法（例如,知识管理、教师工作满意度和全面质量管理）,补充了基于资源的观点（RBV）理论和制度理论。本研究还提供了一个简单的模型和易于掌握的变量,让学校所有者、政府官员、教育工作者、行政人员和其他人了解知识管理、教师工作满意度和全面质量管理的现实效果。并且,本研究有助于相关人员更好地掌握知识管理和全面质量管理从而改善巴基斯坦学校的整体表现。

关键词：知识管理学校绩效企业社会责任全面质量管理

Text Sentiment Analysis Using Frequency-Based Vigorous Features

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China Communications 2019年第12期16卷 145-153页

作者： Abdul Razzaq muhammad asim Zulqrnain Ali Salman Qadri Imran Mumtaz Dost muhammad Khan Qasim Niaz Department of Computer Science MNS-University of AgricultureMultan60600Pakistan University of Management and Technology(UMT) Lahore54000Pakistan NFC Institute of Engineering&Technology Multan60600Pakistan Department of CS&IT The Islamia University of Bahawalpur63100Pakistan Computer Science Department University of AgricultureFaisalabad38000Pakistan Department of Computer Science Institute of Southern PunjabMultan60600Pakistan

Sentiment Analysis, an un-abating research area in text mining, requires a computational method for extracting useful information from text. In recent days, social media has become a really rich source to get information about the behavioral state of people(opinion) through reviews and comments. Numerous techniques have been aimed to analyze the sentiment of the text, however, they were unable to come up to the complexity of the sentiments. The complexity requires novel approach for deep analysis of sentiments for more accurate prediction. This research presents a three-step Sentiment Analysis and Prediction(SAP) solution of Text Trend through K-Nearest Neighbor(KNN). At first, sentences are transformed into tokens and stop words are removed. Secondly, polarity of the sentence, paragraph and text is calculated through contributing weighted words, intensity clauses and sentiment shifters. The resulting features extracted in this step played significant role to improve the results. Finally, the trend of the input text has been predicted using KNN classifier based on extracted features. The training and testing of the model has been performed on publically available datasets of twitter and movie reviews. Experiments results illustrated the satisfactory improvement as compared to existing solutions. In addition, GUI(Hello World) based text analysis framework has been designed to perform the text analytics.

关键词： text mining sentiment analysis sentiment shifters KNN

Structural and optical analysis of Cr_2N thin films prepared by DC magnetron sputtering

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International Journal of Minerals,Metallurgy and Materials 2015年第2期22卷 197-202页

作者： Shakil Khan A.Mahmood A.Shah Qaiser Raza muhammad asim Rasheed Ishaq Ahmad Department of Metallurgy and Materials Engineering Pakistan Institute of Engineering and Applied Sciences National Institute of Laser and Optronics (NILOP) National Centre for Physics Quaid-i-Azam University

Chromium nitride （Cr2N） thin films were prepared by a DC magnetron sputtering technique. The deposition temperature was raised from 50 to 300℃, and its influence on the film structure and refractive index was investigated. X-ray diffraction analysis shows that the crystalline strucure of the films transforms from the （101） to （002） oriented hexagonal CrzN phase as the increase of substrate tempera- ture above 50℃, and a highly texatred film grows at 100℃. An empirical relation between the crystalline orientation and infrared active modes of the films is obtained, i.e., the Fourier transform infrared （FTIR） spectrum of the film prepared at 50℃ exhibits only A1 （TO） mode. The prominent peak in the FTIR spectra of the film prepared above 50℃is assigned to the E1 （TO） mode and is correlated with the （002） or c-axis oriented hexagonal wurtzite phase of Cr2N. In the surface analysis of atomic force microscopy, a transformation from the featureless surface to columnar-type morphology is observed with the increase of substrate temperature from 50 to 100℃, exhibiting c-axis oriented crystallite growth. A further increase in substrate temperature to 200℃ causes the c-axis crystallites to merge, resulting in the formation of voids. The refractive index （n） of the deposited films is obtained using spectroscopic ellipsometry.

关键词： chromium nitride thin films magnetron sputtering structural analysis optical analysis refractive index

Dehydration and volume depletion:How to handle the misconceptions

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World Journal of Nephrology 2019年第1期8卷 23-32页

作者： muhammad asim Mohamad M Alkadi Hania asim Adil Ghaffar Hamad General Hospital Hamad Medical Corporation and Weill Cornell Medicine-Qatar Birmingham City Hospital Dudley RoadBirmingham B18 7QHUnited Kingdom Saint Vincent Hospital

Dehydration and volume depletion describe two distinct body fluid deficit disorders with differing pathophysiology,clinical manifestations and treatment ***,the two are often confused or equated with each ***,we address a number of commonly encountered misconceptions about body-fluid deficit disorders,analyse their origins and propose approaches to overcome them.

关键词： Body fluids Dehydration Volume depletion Misconceptions