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Elastic Deformation Analysis on MHD Viscous Dissipative Flow of Viscoelastic Fluid:An Exact Approach

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Communications in Theoretical Physics 2017年第5期67卷 561-568页

作者： Z.Iqbal,zaffar mehmood Bilal Ahmad Department of Mathematics Faculty of Sciences HITEC University Taxila 44000 Pakistan

This communication is devoted to analyze elastic deformation on electrically conducted viscoelastic fluid in the presence of viscous dissipation effects. Non-linear analysis is computed through exact solutions for velocity,temperature and concentration profiles. Special emphasis is provided for elastic deformation in the presence of magnetohydrodynamics effects. Concentration profile is discussed significantly in the presence constructive and destructive chemical reaction. Results are displayed through graphs and discussed for physical parameters that are used in present analysis. Notable findings include that temperature and thermal boundary layer thickness is an increasing function of Prandtl number and a decreasing function of elastic deformation. In addition, heat transfer rate is enhanced by increasing the conjugate parameter(γ) which measures the strength of surface heating.

关键词： closed form solutions heat and mass transfer viscous dissipation elastic deformation MHD Newtonian heating

Unique Outcomes of Internal Heat Generation and Thermal Deposition on Viscous Dissipative Transport of Viscoplastic Fluid over a Riga-Plate

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Communications in Theoretical Physics 2018年第1期69卷 68-76页

作者： Z.Iqbal Ehtsham Azhar zaffar mehmood E.N.Maraj Department of Mathematics Faculty of Sciences HITEC University

Boundary layer stagnation point flow of Casson fluid over a Riga plate of variable thickness is investigated in present article. Riga plate is an electromagnetic actuator consists of enduring magnets and gyrated aligned array of alternating electrodes mounted on a plane surface. Physical problem is modeled and simplified under appropriate transformations. Effects of thermal radiation and viscous dissipation are incorporated. These differential equations are solved by Keller Box Scheme using MATLAB. Comparison is given with shooting techniques along with RangeKutta Fehlberg method of order 5. Graphical and tabulated analysis is drawn. The results reveal that Eckert number,radiation and fluid parameters enhance temperature whereas they contribute in lowering rate of heat transfer. The numerical outcomes of present analysis depicts that Keller Box Method is capable and consistent to solve proposed nonlinear problem with high accuracy.

关键词： Riga-plate Keller Box method Casson fluid variable thickness stagnation point flow internal heat generation

A Numerical Investigation of Nanocomposite of Copper and Titanium Dioxide in Water Based Fluid Influenced by Instigated Magnetic Region

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Communications in Theoretical Physics 2018年第8期69卷 239-248页

作者： Z.Iqbal Ehtsham Azhar E.N.Maraj zaffar mehmood Department of Mathematics Faculty of Sciences HITEC University

Presence of external electrical field plays a vital role in heat transfer and fluid flow phenomena. Keeping this in view present article is a numerical investigation of stagnation point flow of water based nanoparticles suspended fluid under the influence of induced magnetic field. A detailed comparative analysis has been performed by considering Copper and Titanium dioxide nanoparticles. Utilization of similarity analysis leads to a simplified system of coupled nonlinear differential equations, which has been tackled numerically by means of shooting technique followed by Runge-Kutta of order 5. The solutions are computed correct up to 6 decimal places. Influence of pertinent parameters is examined for fluid flow, induced magnetic field, and temperature profile. One of the key findings includes that magnetic parameter plays a vital role in directing fluid flow and lowering temperature profile. Moreover, it is concluded that Cu-water based nanofluid high thermal conductivity contributes in enhancing heat transfer efficiently.

关键词： water based fluid instigated magnetic region nanoscale particles Copper and titanium dioxide stagnation point flow numerical solutions

Pore Size Distribution of Clayey Soils and Its Correlation with Soil Organic Matter

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Pedosphere 2015年第2期25卷 240-249页

作者： Malik zaffar LU Sheng-Gao Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition College of Environmental and Resource SciencesZhejiang University Ministry of Education Key Laboratory of Environmental Remediation and Ecosystem Health College of Environmental and Resource SciencesZhejiang University

Soil pore size distribution(PSD) directly influences soil physical,chemical,and biological properties,and further knowledge of soil PSD is very helpful for understanding soil functions and *** this study,PSD of three clayey soils collected from the topsoil(0-20 cm) of Vertisols in Northern China was analyzed using the N_2 adsorption(NA) and mercury intrusion porosimetry(MIP) *** effect of soil organic matter(SOM) on the PSD of clayey soils was also *** differential curves of pore volume of clayey soils by the NA method exhibited that the pores with diameter 75 μm,31.4%),cryptopores(0.1-0.007μm,16.0%),micropores(30-5 μm,9.7%) and mesopores(75-30 μm,7.3%).The SOM greatly affected the pore structure and PSD of aggregates in clayey *** particular,SOM removal reduced the volume and porosity of 5-100 μm pores while increased those of <5 μm pores in the 5-2 and 2-0.25 mm aggregates of clayey *** increase in the volume and porosity of < 5 μm pores may be attributed to the disaggregation and partial emptying of small pores caused by the destruction of SOM.

关键词： mercury intrusion porosimetry N2 adsorption pore volume porosity soil aggregate Vertisol

Evaluating the role of partnerships in increasing the use of big Earth data to support the Sustainable Development Goals:an Australian perspective

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Big Earth Data 2021年第4期5卷 527-556页

作者： zaffar Sadiq Mohamed-Ghouse Cheryl Desha Abbas Rajabifard Michelle Blicavs Graeme Martin Spatial Vision Australia School of Engineering and Built Environment Cities Research InstituteGriffith UniversityBrisbaneAustralia Centre for Spatial Data Infrastructures and Land Administration(CSDILA)at the University of Melbourne Australia Association of Consulting Surveyors Australia

Leaders are increasingly calling for improved decision support to manage human and environmental challenges in the 21^(st)*** 17 United Nations Sustainable Development Goals(SDGs)pro-vide a framing of these challenges,wherein 169 targets require significant data to be monitored and pursued ***,many targets are still not connected with big Earth data *** this conceptual paper,the authors sought to answer the question“How are partnerships influencing progress in using big Earth data to address the SDGs?”Using the Pivotal Principles for Digital Earth,we reflect on the geospatial sector’s partnering efforts and opportunities for enhancing the use of big Earth *** use Australia as a case study to explore partnering for action towards one or more *** conclude that partnerships are emerging for big Earth data use in addressing the SDGs,but much can still be done to harness the power of partnerships for transformative SDG *** propose four key enabling priorities:1)multiple-stakeholder collaboration,2)regular enactment of the problem-solving cycle,3)transparent and reliable georeferenced data,and 4)development and preservation of ***“next steps”are outlined for Australia,which can also benefit practitioners and leaders globally in problem-solving for the SDGs.

关键词： United Nations Sustainable Development Goals SDGs SDG-17 partnerships for decision support big Earth data Australia

An update on the genetics and pathogenesis of hereditary angioedema

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Genes & Diseases 2020年第1期7卷 75-83页

作者： Aaqib zaffar Banday Anit Kaur Ankur Kumar Jindal Amit Rawat Surjit Singh Allergy Immunology Unit Department of PediatricsAdvanced Pediatrics CentrePostgraduate Institute of Medical Education and ResearchChandigarhIndia

Hereditary angioedema(HAE)is an uncommon genetic disorder characterized by recurrent episodes of edema involving subcutaneous tissue and *** pathogenesis of HAE reflects an intricate coordinated regulation of components of complement,kinin and hemostatic *** date,mutations in 4 different genes have been identified to cause HAE which includes serine protease inhibitor G1(SERPING1),factor XII(F12),plasminogen(PLG)and angiopoietin 1(ANGPT 1).These mutations lead to increased bradykinin 2 receptor mediated signalling via increased production of bradykinin except mutations in ANGPT1 gene that disturbs the cytoskeletal assembly of vascular endothelial *** this review we aim to summarize the recent advances in the pathogenesis and genetics of *** also provide an overview of possible future prospects in the identification of new genetic defects in HAE.

关键词： Angiopoietin 1 C1 inhibitor Factor XII Genetics Hereditary angioedema Plasminogen

A Hybrid Feature Selection Framework for Predicting Students Performance

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Computers, Materials & Continua 2022年第1期70卷 1893-1920页

作者： Maryam zaffar Manzoor Ahmed Hashmani Raja Habib KS Quraishi Muhammad Irfan Samar Alqhtani Mohammed Hamdi High Performance Cloud Computing(HPC3) Department of Computer and Information SciencesUniversiti Teknologi PETRONAS32610SeriIskandarMalaysia Department of Computer Science and Information Technology University of LahorePakistan Department of Process Engineering Pakistan Institute of Engineering&Applied SciencesNiloreIslamabadPakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia College of Computer Science and Information Systems Najran University61441NajranSaudi Arabia

Student performance prediction helps the educational stakeholders to take proactive decisions and make interventions,for the improvement of quality of education and to meet the dynamic needs of *** selection of features for student’s performance prediction not only plays significant role in increasing prediction accuracy,but also helps in building the strategic plans for the improvement of students’academic *** are different feature selection algorithms for predicting the performance of students,however the studies reported in the literature claim that there are different pros and cons of existing feature selection algorithms in selection of optimal *** this paper,a hybrid feature selection framework(using feature-fusion)is designed to identify the significant features and associated features with target class,to predict the performance of *** main goal of the proposed hybrid feature selection is not only to improve the prediction accuracy,but also to identify optimal features for building productive strategies for the improvement in students’academic *** key difference between proposed hybrid feature selection framework and existing hybrid feature selection framework,is two level feature fusion technique,with the utilization of cosine-based ***,according to the results reported in existing literature,cosine similarity is considered as the best similarity measure among existing similarity *** proposed hybrid feature selection is validated on four benchmark datasets with variations in number of features and number of *** validated results confirm that the proposed hybrid feature selection framework performs better than the existing hybrid feature selection framework,existing feature selection algorithms in terms of accuracy,f-measure,recall,and *** reported in presented paper show that the proposed approach gives more than 90%accuracy on benchmark dataset that is better tha

关键词： Educational data mining feature selection hybrid feature selection

Recent advances in elucidating the genetics of common variable immunodeficiency

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Genes & Diseases 2020年第1期7卷 26-37页

作者： Vaishali Aggarwal Aaqib zaffar Banday Ankur Kumar Jindal Jhumki Das Amit Rawat Allergy and Immunology Unit Department of PediatricsAdvanced Pediatrics CentrePostgraduate Institute of Medical Education and ResearchChandigarhIndia

Common variable immunodeficiency disorders(CVID),a heterogeneous group of inborn errors of immunity,is the most common symptomatic primary immunodeficiency *** with CVID have highly variable clinical *** the advent of whole genome sequencing and genome wide association studies(GWAS),there has been a remarkable improvement in understanding the genetics of *** has also helped in understanding the pathogenesis of CVID and has drastically improved the management of these patients.A multiomics approach integrating the DNA sequencing along with RNA sequencing,proteomics,epigenetic and metabolomics profile is the need of the hour to unravel specific CVID associated disease pathways and novel therapeutic *** this review,we elaborate various techniques that have helped in understanding the genetics of CVID.

关键词： Common variable immunodeficiency(CVID) Epigenome Genetics Next generation sequencing(NGS) Transcriptome

Farmers'participatory selection of new rice varieties to boost production under temperate agro-ecosystems

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Journal of Integrative Agriculture 2018年第6期17卷 1307-1314页

作者： S Najeeb F A Sheikh G A Parray A B Shikari G zaffar S C Kashyp M A Ganie A B Shah Mountain Research Centre for Field Crops KhudwaniAnantnagSher-e-Kashmir University of Agricultural Sciences&Technology of KashmirJammu&Kashmir 192102India Centre for Biotechnology Sher-e-Kashmir University of Agricultural Sciences&Technology of KashmirShafimarJammu&Kashmir 191121India Dryland Agriculture Research Station Sher-e-Kashmir University of Agricultural Sciences&Technology of KashmirSrinagarJammu&Kashmir 191111India Assistant Director Education Sher-e-Kashmir University of Agricultural Sciences&Technology of JammuChattaJammu&Kashmir 180009India

In mountain agriculture, early maturity, high grain yield and high biomass are generally considered as farmer preferred traits in rice crop in addition to a multiple set of traits collectively responsible for variety adoption or rejection. The varieties tested only on station evaluation trials without taking the data from the farmers＇ fields by not including farmers as partners for variety evaluation are the reasons of low adoption of varieties. In this regard, a participatory methodology was followed by conducting a number of participatory trials in the farmers＇ fields during 2012-2014 in six districts of Kashmir Valley, India. The mother trials in the farmers＇ fields showed that the test variety SKUA-408 consistently and significantly out yielded Jhelum and farmers＇ variety followed by Shalimar rice 3 （SR3）. The other released varieties like SR1 and SR2 could not perform nicely in the farmers＇ fields because of late maturity. After making the t-test comparison of baby trials （paired plots）, the mean yield superiority of test varieties SKUA-408, SR3, and SKUA-403 over farmers＇ variety during 2013 was around 23, 25, and 22％, respectively, whereas in 2014 the respective yield advantage was recorded as 16.3, 17.7, and 16.2％. In all districts, SKUA-408 and SR3 were significantly preferred by farmers （P〈0.05 or 0.01） in terms of pre-harvest traits namely, tillering ability and general phenotypic acceptability, early maturity and biomass and for post-harvest traits such as general cooking quality besides, the intention to grow the variety for next year. Adoption and dissemination of SKUA-408 began in 2014 from the farm-saved seed in the form of farmer to farmer seed exchange. Farmers are the end users of a variety so the decision by the farmers while judging the variety should be taken into consideration to make the varietal choice more effective for its widespread adoption.

关键词： baby trials farmers' perception farmer preferred traits mother trials mountain agriculture participatory varietal selection variety adoption and popularization