Similarity solutions of boundary layer flows in a channel filled by non-newtonian fluids

Similarity solutions of non-Newtonian fluids are getting much attention to researchers because of their practical importance in the field of science and engineering. Currently, most of researchers focus their work on non-Newtonian fluids over a sheet. However, only a few of them pay their attention towards the geometry of channel due to the complexity of governing equations. Therefore, this study attempts to investigate the numerical solutions of new problems of laminar incompressible Nanofluids, Casson fluids and Micropolar fluids under various fluid flow conditions. Each considered fluid involves porous channel walls, stretching or shrinking walls, and expanding or contracting walls with the influence of various physical parameters. Mathematical formulations such as the law of conservation, momentum or angular momentum, heat and mass transfer are performed on the new problems. After the mathematical formulation is developed, the governing fluid flow equations of partial differential equations are then transformed into boundary value problems (BVPs) of nonlinear ordinary differential equations (ODEs) by using the suitable similarity transformations. After converting high order BVPs into the equivalent first order system of BVPs, shootlib function in Maple 18 software is employed to obtain the similarity solutions of nonlinear ODEs. The numerical results in this study are compared with the existing solutions in literature for the purpose of validation. The results are found to be in good agreement with the existing solutions. Multiple solutions of some of the problems particularly in porous channel with expanding or contracting walls also exist for the case of strong suction. This study has successfully find the numerical solutions of the new problems for various fluid flow conditions. The results obtained from this study can serve as a theoretical reference in related fields

Numerical investigation of copper-water (cu-water) nanofluid with different shapes of nanoparticles in a channel with stretching wall: slip effects

The present study is focused on the presentation of a numerical solution for copper-water nanofluid through a stretching channel with spherical and cylindrical shape nanoparticles.The analysis of nanofluid in a channel with stretching walls under slip effects is made by introducing the conservation equation of nanoparticle volume fraction into Hamilton-Crosser’s nanofluid model. Governing partial differential equations are transformed into nonlinear ordinary differential equations by applying similarity transformation and then solved with the help of shooting method. The effects of different physical parameters on the rheology of nanofluids’ particles are presented in tabulation and pictorial representation. The study reveals that the thermal boundary layer thickness increases by increasing the solid volume fraction

Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states

Due to the ubiquitous nature of mobile devices, they are now considered as an emerging platform for facilitating both teaching and learning experiences. In this paper, we presented a tailored mobile learning system, namely the Integrated English and Programming Language Learning System (IEPLS), which aims at learning English vocabulary before studying programming language concepts. The IEPLS supports programming language learning in three ways; (a) Recommending to learn specific English vocabulary used in programming language concepts (b) Adaptation to the learning flow of the learner and (c) Motivating and encouraging learners to learn items based on individual learner's performance. The IEPLS was used by one hundred and fifty undergraduate students for six months. Evaluation results revealed the attainment of IEPLS in supporting learners in learning programming languages backed by precise English vocabulary

Semantic Orientation of Crosslingual Sentiments: Employment of Lexicon and Dictionaries

Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites. Social media users express their feelings in conversations through cross-lingual terms, intensifiers, enhancers, reducers, symbols, and Net Lingo. However, the generic Sentiment Analysis (SA) research lacks comprehensive coverage about such abstruseness. In particular, they are inapt in the semantic orientation of Crosslingual based code switching, capitalization and accentuation of opinionative text due to the lack of annotated corpora, computational resources, linguistic processing and inefficient machine translation. This study proposes a Heuristic Framework for Crosslingual Sentiment Analysis (HF-CSA) and takes into consideration the NetLingua, code switching, opinion intensifiers, enhancers and reducers in order to cope with intrinsic linguistic peculiarities. The performance of proposed HF-CSA is examined on Twitter dataset and robustness of system is assessed on SemEval-2020 task9. The results show that HF-CSA outperformed the existing systems and reached to 71.6% and 76.18% of average accuracy on Clift and SemEval-2020 datasets respectively

Deep neural network based m-learning model for predicting mobile learners’ performance

The use of deep learning (DL) techniques for mobile learning is an emerging field aimed at developing methods for finding mobile learners' learning behavior and exploring important learning features. The learning features (learning time, learning location, repetition rate, content types, learning performance, learning time duration, and so on) act as fuel to DL algorithms based on which DL algorithms can classify mobile learners into different learning groups. In this study, a powerful and efficient m-learning model is proposed based on DL techniques to model the learning process of m-learners. The proposed m-learning model determines the impact of independent learning features on the dependent feature i.e. learners? performance. The m-learning model dynamically and intuitively explores the weights of optimum learning features on learning performance for different learners in their learning environment. Then it split learners into different groups based on features differences, weights, and interrelationships. Because of the high accuracy of the DL technique, it was used to classify learners into five different groups whereas random forest (RF) ensemble method was used in determining each feature importance in making adaptive m-learning model. Our experimental study also revealed that the m-learning model was successful in helping m-learners in increasing their performance and taking the right decision during the learning flow

A note on some solutions of copper-water (Cu-Water) nanofluids in a channel with slowly expanding or contracting walls with heat transfer

A study has been carried out to examine the occurrence of multiple solutions for Copper-Water nano fluids flows in a porous channel with slowly expanding and contracting walls. The governing equations are first transformed to similarity equations by using similarity transformation. The resulting equations are then solved numerically by using the shooting method. The effects of wall expansion ratio and solid volume fraction on velocity and temperature profile have been studied. Numerical results are presented graphically for the variations of different physical parameters. The study reveals that triple solutions exist only for the case of suction

Rheology of micropolar fluid in a channel with changing walls: Investigation of multiple solutions

A numerical study is carried out in order to investigate the multiple solutions of micropolar fluid in a channel with changing walls. Mathematical modeling of laws of conservation of mass, momentum, angular momentum and energy is performed and governing partial differential equations are converted into self-similar ordinary differential equations by applying suitable similarity transformation and then solved numerically by shooting method. A new branch of solutions is found and presented graphically and numerically for the various values of parameters, which has never been reported

A note on some solutions of micropolar fluid in a channel with permeable walls

Purpose – The purpose of this paper is to investigate different branches of the solution of micropolar fluid in a channel with permeable walls. Moreover, the intention of the study is to examine the effect of different physical parameters on fluid flow. Design/methodology/approach – The mathematical modeling is performed on the basis of law of conservation of mass, momentum and angular momentum. The governing partial differential equations were transformed into ordinary differential equations by applying suitable similarity transformation. Afterwards, the set of nonlinear ordinary differential equations was solved numerically by a shooting method. Findings – The study reveals that various branches of the solution of the proposed problem exist only in the case of strong suction. Originality/value – The investigation of new branches of the solution of non-Newtonian micropolar fluid is relatively difficult as far as the single solution is concern. This study explores the new branches of the solution of a micropolar fluid in a channel with suction/injection. Simultaneous effect of suction Reynolds number and vortex viscosity parameter on velocity and micro-rotation profile is examined for different branches of solution in order to make the analysis more interestin

MHD flow and heat transfer of Cu–water nanofluid in a semi porous channel with stretching walls

This paper deals with heat transfer analysis on MHD nanofluids in a porous channel with stretching walls. An incompressible Copper (Cu)–water nanofluid is filled in the porous channel. The governing partial differential equations are first transformed into ordinary differential equations by using suitable similarity transformation. The resulting nonlinear ordinary differential equations are then solved numerically by using shooting method. It is found that the different values of nanoparticle volume fraction, Reynolds number, magnetic field and Prandtl number affects the profiles of velocity, temperature, skin friction and heat transfer

The Impact of Workplace Incivility on The Psychological Wellbeing of Employees Through Emotional Exhaustion

Workplace environment has received a lot attention from many authors for research purpose. The present study extends the scope of the workplace incivility literature by adding the dependent variable like psychological wellbeing, prohibitive voice behaviour, intention to leave. I have selected these research variables because of its importance however, the association of these variables with the workplace incivility as independent variable is the unique contribution of the study to the existing body of knowledge. All the dependent variables are also helpful in the career development of employees and make contribution to achieve organization goals. This research will help organizations to study how workplace incivility affects the behaviour of the employees, besides it helps organizations to consider the workplace incivility effects on the employees while making decisions in achieving organization goals. Another significant achievement of the study is the use of emotional exhaustion as a mediator. The mediation role of emotional Exhaustion between workplace incivility and dependent variables like psychological wellbeing, prohibitive voice behaviour and intention to leave reveals much truth through mediation analysis. The use of prohibitive voice behaviour as an independent variable is also uniqueness of this study, it will reveal a lot of facts how prohibitive voice behaviour effects the employees in the organization. This study also uses the mechanism of the Conservation of resource theory to explain and justify the impact of workplace incivility on prohibitive voice behaviour, psychological wellbeing of employees and intention to leave. Although various researchers use the COR theory this study the theory describes how employees have the negative feelings and out of their resources (Knowledge, skills, ability) when dealing with workplace incivility