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Toxicity Evaluation of Green Synthesized Iron Oxide Nanoparticles in Sprague-Dawley Rats:Biochemical and Histological Assessment

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Biomedical and Environmental Sciences 2020年第11期33卷 882-886页

作者： Sania Naz muhammad Majid muhammad zia Department of Biotechnology Quaid-i-Azam University Islamabad Pakistan 45320 Department of Pharmacy Quaid-i-Azam University Islamabad Pakistan 45320

The exploitation of nanotechnology has increased in all ramifications due to the spectacular potential of nano-products(NPs).Among the nanoproducts,iron oxide(Fe2 O3)NPs has attracted more scientific attentions due it... 详细信息

关键词： characteristics. Iron Oxide

Effect of chromium on growth attributes in sunflower(Helianthus annuus L.)

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Journal of Environmental Sciences 2008年第12期20卷 1475-1480页

作者： FOzia Andaleeb muhammad Anjum zia muhammad Ashraf ZAFAR Mahmood Khalid National Institute for Biotechnology and Genetic Engineering Department of Chemistry and Biochemistry University of Agriculture Department of Botany University of Agriculture

Heavy metal soil pollution takes place when the metal concentration of soil exceeds natural background level and causes ecological destruction and deterioration of the *** the present study,a pot experiment was conducted to evaluate the effect of chromium-contaminated soil in sunflower(Helianthus annuus L.)growth *** different levels of chromium(Cr)i.e.,20, 40,and 60 mg/kg were applied to three varieties of sunflower(G-3,G-9,and G-59).The results of morphological,chemical,and yield p...

关键词： Helianthus annuus L. soil chromium growth attributes

Nanocellulose isolation characterization and applications:a journey from non-remedial to biomedical claims

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Bio-Design and Manufacturing 2019年第3期2卷 187-212页

作者： Sania Naz Joham S.Ali muhammad zia Department of Biotechnology Quaid-i-Azam University IslamabadIslamabadPakistan

Cellulose is a renewable,biodegradable,ecofriendly and sustainable *** market of nanocellulose is comprehensively very high due to its *** of nanocellulose from bacteria and plant results in different morphology and size of ***,mechanical strength,biofabrication,crystallinity,high surface area per unit mass,hydrophilicity,porosity,transparency and non-toxicity of bacterial cellulose make it more *** extravagant nanoscaled three-dimensional network of cellulosic structures possess extraordinary properties for biomedical application,evidencing its usage in skin therapy,cardiovascular implants,cartilage meniscus implants,tissue engineering,bone tissue and neural implants,wound care products,drug delivery agents,tablet modification,tissue engineered urinary conduits,and synthesis of artificial *** due to potential benefits associated with nanocellulose effective and efficient techniques are required for the isolation of nanocellulose that should be economical,ecofriendly and non-toxic.

关键词： Nanocellulose Plant and bacterial source Extraction Applications

HB-Protocol Based Advance Security System for PKES Using Multiple Antennas

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China Communications 2018年第12期15卷 98-110页

作者： Ahmer Khan Jadoon Licheng Wang muhammad Azam zia State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Department of Computer Science University of Agriculture Faisalabad

Modern cars are mostly computerized and equipped with passive keyless entry and start(PKES) system. PKES is based on Radio Frequency Identification(RFID) technology for authentication of the authorized drivers. RFID technology has replaced the conventional ways of identification and authorization in order to facilitate users while introducing new security challenges. In this article, we focused on verifying the presence of authorized key in the physical proximity of car by employing multiple antennas. Application of multiple antennas to the currently developed cryptographic algorithms opens a new approach for researchers to improve security of RFID based systems. We propose an advanced security system for PKES using multiple antennas wherein an authorized key passes through multiple vicinities to allow driver to access and start the car. Furthermore, we modified a light-weight cryptographic protocol named as HB(Hopper and Blum) protocol to integrate it with the proposed design based on multiple antennas. Simulation results show improvement in security functionality while keeping in view the efficiency constraints.

关键词： passive keyless entry and start radio frequency identification hopper and blum protocol multiple antennas authorization

Exploration of Influential People for Viral Marketing

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China Communications 2018年第5期15卷 138-148页

作者： muhammad Azam zia Zhongbao Zhang Liutong Chen muhammad Hashim Sen Su State key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsNo.10 Xitucheng RoadBeijing 100876China Department of Computer Science University of AgricultureFaisalabadPakistan Department of Management Sciences National Textile UniversityFaisalabadPakistan

Exploration of influential people is really a hot issue for effective viral marketing these days. Prior studies overlooked to consider the influence of interaction between users and the authority of users during information dissemination. In this article, we proposed an innovative concept by employing communication strength and authority in order to explore the influential people. First, we calculated communication strength by three kinds of actions including retweets, comments and mentions. Second, we deliberated authority metric by employing total times getting re-tweeted, number of tweets and followers of a user. Then, we propose a novel algorithm called Influential People Label Propagation Algorithm(IPLPA) that considers the proposed metric to explore the influential people in micro-blog networks. We performed extensive experiments to measure the influence and rank of each person within micro-blog network. The comparative study presents that IPLPA depicted effective people while baseline algorithms retrieved low influenced people at top rank. Additionally, influence dissemination also measured for obtained influential people in order to validate proposed concept. The findings of this study would be useful for viral marketing and advertisement campaigns.

关键词： micro-blog network communication strength authority IPLPA

Computational Analysis of the Oscillatory Mixed Convection Flow along a Horizontal Circular Cylinder in Thermally Stratified Medium

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Computers, Materials & Continua 2020年第10期65卷 109-123页

作者： zia Ullah muhammad Ashraf Saqib zia Yuming Chu Ilyas Khan Kottakkaran Sooppy Nisar Department of Mathematics Faculty of ScienceUniversity of SargodhaSargodhaPakistan Department of Mathematics COMSATS University IslamabadIslamabad44000Pakistan Department of Mathematics Huzhou UniversityHuzhou313000China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha University of Science&TechnologyChangsha410114China Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh72915Vietnam Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

The present work emphasizes the significance of oscillatory mixed convection stratified fluid and heat transfer characteristics at different stations of non-conducting horizontally circular cylinder in the presence of thermally stratified *** remove the difficulties in illustrating the coupled PDE’s,the finite-difference scheme with efficient primitive-variable formulation is proposed to transform dimensionless *** numerical simulations of coupled non-dimensional equations are computed in terms velocity of fluid,temperature and magnetic field which are computed to examine the fluctuating components of skin friction,heat transfer and current density for various emerging *** governing parameters namely,thermally stratification parameter𝑆𝑆𝑡𝑡,mixed-convection parameter𝜆𝜆,Prandtl number Pr,magnetic force parameter𝜉𝜉and magnetic-Prandtl number𝛾𝛾are displayed graphically at selected values for velocity and heat transfer *** is computed that heat transfer attains maximum amplitude and good variations in the presence of thermally stratified parameter at each position𝛼𝛼=𝜋𝜋6⁄,𝛼𝛼=𝜋𝜋3⁄and𝛼𝛼=𝜋𝜋around the surface of non-conducting horizontally *** velocity of fluid attains certain height at station𝛼𝛼=𝜋𝜋6⁄for higher value of stratification *** is also found that the temperature gradient decreases with stratification parameter𝑆𝑆𝑡𝑡,but it increases after a certain distance𝑌𝑌from the *** novelty of the current work is that due to non-conducting phenomena the magnetic effects are strongly observed far from the surface but exact at the surface are zero for each position.

关键词： Mixed-convection oscillatory stratified flow non-conducting cylinder thermal stratification heat transfer.

Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks

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Computers, Materials & Continua 2024年第8期80卷 3221-3242页

作者： Ayesha Khaliq Salman Afsar Awan Fahad Ahmad muhammad Azam zia muhammad Zafar Iqbal Department of Computer Science University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan School of Computing Faculty of TechnologyUniversity of PortsmouthSouthseaPortsmouthPO12UPUK Department of Mathematics and Statistics University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan

The rapid expansion of online content and big data has precipitated an urgent need for efficient summarization techniques to swiftly comprehend vast textual documents without compromising their original *** approaches in Extractive Text Summarization(ETS)leverage the modeling of inter-sentence relationships,a task of paramount importance in producing coherent *** study introduces an innovative model that integrates Graph Attention Networks(GATs)with Transformer-based Bidirectional Encoder Representa-tions from Transformers(BERT)and Latent Dirichlet Allocation(LDA),further enhanced by Term Frequency-Inverse Document Frequency(TF-IDF)values,to improve sentence selection by capturing comprehensive topical *** approach constructs a graph with nodes representing sentences,words,and topics,thereby elevating the interconnectivity and enabling a more refined understanding of text *** model is stretched to Multi-Document Summarization(MDS)from Single-Document Summarization,offering significant improvements over existing models such as THGS-GMM and Topic-GraphSum,as demonstrated by empirical evaluations on benchmark news datasets like Cable News Network(CNN)/Daily Mail(DM)and *** results consistently demonstrate superior performance,showcasing the model’s robustness in handling complex summarization tasks across single and multi-document *** research not only advances the integration of BERT and LDA within a GATs but also emphasizes our model’s capacity to effectively manage global information and adapt to diverse summarization challenges.

关键词： Summarization graph attention network bidirectional encoder representations from transformers Latent Dirichlet Allocation term frequency-inverse document frequency

Exploiting Empirical Variance for Data Stream Classification

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Journal of Shanghai Jiaotong university(Science) 2012年第2期17卷 245-250页

作者： zia-UR REHMAN muhammad 李天瑞李涛 School of Information Science and Technology Southwest Jiaotong University School of Computer Science Florida International University

Classification,using the decision tree algorithm,is a widely studied problem in data *** challenge is when to split a decision node into multiple *** inequalities,that exploit variance information such as Bernstein's and Bennett's inequalities,are often substantially strict as compared with Hoeffding's bound which disregards *** machine learning algorithms for stream classification such as very fast decision tree(VFDT) learner,AdaBoost and support vector machines(SVMs),use the Hoeffding's bound as a performance *** this paper,we propose a new algorithm based on the recently proposed empirical Bernstein's bound to achieve a better probabilistic bound on the accuracy of the decision *** results on four synthetic and two real world data sets demonstrate the performance gain of our proposed technique.

关键词： Hoeffding and Bernstein’s bounds data stream classification decision tree anytime algorithm

Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning

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Computers, Materials & Continua 2021年第2期66卷 1075-1090页

作者： zia Ul Rehman Sagheer Abbas muhammad Adnan Khan Ghulam Mustafa Hira Fayyaz muhammad Hanif muhammad Anwar Saeed School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences Bahria UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Systems and Technology University of Management and TechnologyLahore54000Pakistan Department of CS&IT Virtual University of PakistanLahore54000Pakistan

The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing *** research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive ***,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological ***,recognizing potential radical text or material is vital to restrict the circulation of the extremist *** aim of this research work is to identify radical text in social *** contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words *** research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the *** a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier *** addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation.

关键词： Radicalization extremism machine learning natural language processing twitter text mining