Dynamic Relationship between Income and Consumption: A Time Series Analysis of Spain

This study examined the household and government consumption with income separately both in short and long run.The data is collected from the WDI from 1960 to 2010 of spain. Analysis is  done by using the co integration technique and error correction model. The results of the study demonstrate that household consumption is more than that of income in short run but in long run with the adjustment rate of 7% the consumption is less than income. In contrast ,the expenditures of government and consumption is more than that of its income in long run and vice versa. The reason for the more expenditures in long run is due to the debt financing. Keywords: Income, Consumption, Co integration, Error correction model, Spai

Size, P/E Ratio and Equity Stock Returns in Pakistan

This study examine the impact of size and price earning ratio on equity returns by using Fama and French (1992, 1993).Results demonstrate that market premium exist in Pakistani equity market and size factor found positive related to portfolio returns. Size premium does not explain the big portfolios returns. In the period of 2002 to 2011 and 2007 to 2011 HML better explains the low price earning stocks and price earning is a negative proxy for book to market. In addition this study also confirms that Fama and French three factor model is a better approach to explain the returns in Pakistani equity market. JEL Classification Number: G11, G12, C52 Keywords: CAPM, APT, Fama and French Three Factor, Equity Marke

The impact of variable fluid properties on hydromagnetic boundary layer and heat transfer flows over an exponentially stretching sheet

This paper put forward an analysis of variable fluid properties and their impact on hydromagnetic boundary and thermal layers in a quiescent fluid which is developed due to the exponentially stretching sheet. The viscous incompressible fluid has been set into motion due to aforementioned sheet. We assume that the viscosity and the thermal conductivity of the Newtonian fluid are temperature dependent. The governing boundary layer equations containing continuity, momentum and energy equations are coupled and nonlinear in nature, thereby, cannot be solvable easily by using analytical methods. Since the general boundary layer equations admits a similarity solutions, thus a generalized Howarth-Dorodnitsyn transformations have been exploited for the set-up of a coupled nonlinear ODEs. These transformed ODEs are solved numerically by a shooting method and is verified from MATLAB built-in collocation solver bvp4c for different parameters appearing in the work. We show results graphically and in a tabulated form for a constant and a variable fluid properties. We find that the temperature dependent variable viscosity and a thermal conductivity influence a velocity and a temperature profiles. We show that the thermal boundary layer decreases for constant variable fluid properties and increases for variable fluid propertiesThe impact of variable fluid properties on hydromagnetic boundary layer and heat transfer flows over an exponentially stretching sheetpublishedVersio

A Simplified Finite Difference Method (SFDM) Solution via Tridiagonal Matrix Algorithm for MHD Radiating Nanofluid Flow over a Slippery Sheet Submerged in a Permeable Medium

In this paper, we turn our attention to the mathematical model to simulate steady, hydromagnetic, and radiating nanofluid flow past an exponentially stretching sheet. A numerical modeling technique, simplified finite difference method (SFDM), has been applied to the flow model that is based on partial differential equations (PDEs) which is converted to nonlinear ordinary differential equations (ODEs) by using similarity variables. For the resultant algebraic system, the SFDM uses the tridiagonal matrix algorithm (TDMA) in computing the solution. The effectiveness of numerical scheme is verified by comparing it with solution from the literature. However, where reference solution is not available, one can compare its numerical results with the results of MATLAB built-in package bvp4c. The velocity, temperature, and concentration profiles are graphed for a variety of parameters, i.e., Prandtl number, Grashof number, thermal radiation parameter, Darcy number, Eckert number, Lewis number, and Brownian and thermophoresis parameters. The significant effects of the associated emerging thermophysical parameters, i.e., skin friction coefficient, local Nusselt number, and local Sherwood numbers are analyzed and discussed in detail. Numerical results are compared from the available literature and found a close agreement with each other. It is found that the Eckert number upsurges the velocity curve. However, the dimensionless temperature declines with the Grashof number. It is also shown that the SFDM gives good results when compared with the results obtained from bvp4c and results from the literature.publishedVersio

Computational analysis of unsteady and steady magnetohydrodynamic radiating nano fluid flows past a slippery stretching sheet immersed in a permeable medium

publishedVersio

Does freight and passenger transportation industries are sustainable in BRICS countries? Evidence from advance panel estimations

Freight and passenger transportation profoundly impacts environmental degradation due to the higher fossil fuel consumption and respective emissions. Therefore, this study explores the impact of freight and passenger transportation on environmental pollution (particulate matter 2.5(PM 2.5)) in BRICS countries using annual data from 1990 to 2018. We employed various advanced econometric approaches to handle issues arising from panel data, such as the presence of unit root, cross-sectional dependency, structural break, and parameters heterogeneity. The overall results show that freight and passenger transportation significantly contribute to a higher concentration of PM 2.5; however, the impact of freight transportation is almost double that of passenger transportation. Similarly, economic growth also caused higher environmental pollution. Moreover, this study confirms the presence of the Environmental Kuznets Curve hypothesis in the long run. These results provide valuable suggestions to achieve a sustainable environment

The effect of socialization on employees efficiency: moderating role of perceived organizational support

The present study aims to investigate the effect of socialization on employee’s efficiency with moderating role of perceived organizational support. A field survey approach was used by selecting 30 employees from telecom sector. Pakistan study area was district Hyderabad. Multistage simple random sampling technique used to select employees. Structured questionnaire was used as data instrument. The result confirm that organizational socialization enhance organization commitment of employees, thus reducing cost of losing employees therefore, socialization program must be designed so which fulfills the expectation of employees. On the basis of result it is recommended that government, and non-government organization must enhance friendly environment in their organization to meet the market competition and more output with less input

The effect of socialization on employees efficiency: moderating role of perceived organizational support

The present study aims to investigate the effect of socialization on employee’s efficiency with moderating role of perceived organizational support. A field survey approach was used by selecting 30 employees from telecom sector. Pakistan study area was district Hyderabad. Multistage simple random sampling technique used to select employees. Structured questionnaire was used as data instrument. The result confirm that organizational socialization enhance organization commitment of employees, thus reducing cost of losing employees therefore, socialization program must be designed so which fulfills the expectation of employees. On the basis of result it is recommended that government, and non-government organization must enhance friendly environment in their organization to meet the market competition and more output with less input

SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition

The recognition of activities of daily living (ADL) in smart environments is a well-known and an important research area, which presents the real-time state of humans in pervasive computing. The process of recognizing human activities generally involves deploying a set of obtrusive and unobtrusive sensors, pre-processing the raw data, and building classification models using machine learning (ML) algorithms. Integrating data from multiple sensors is a challenging task due to dynamic nature of data sources. This is further complicated due to semantic and syntactic differences in these data sources. These differences become even more complex if the data generated is imperfect, which ultimately has a direct impact on its usefulness in yielding an accurate classifier. In this study, we propose a semantic imputation framework to improve the quality of sensor data using ontology-based semantic similarity learning. This is achieved by identifying semantic correlations among sensor events through SPARQL queries, and by performing a time-series longitudinal imputation. Furthermore, we applied deep learning (DL) based artificial neural network (ANN) on public datasets to demonstrate the applicability and validity of the proposed approach. The results showed a higher accuracy with semantically imputed datasets using ANN. We also presented a detailed comparative analysis, comparing the results with the state-of-the-art from the literature. We found that our semantic imputed datasets improved the classification accuracy with 95.78% as a higher one thus proving the effectiveness and robustness of learned models

Industry-School Interface: Following Professional Education Model to Impart Pragmatic Business Edification

This intercourse aims to identify means by which the business education system can be aided to effectively meet the needs of the business-operating environment. Despite of the popularity of business and management education critics have been talking about business education to be less relevant to business needs. This study focuses on exploring the modes of exchange of knowledge between business schools and industry to facilitate practical learning. It mainly aims to get a holistic view of the extent to which an industry and school collaboration based system can ensure pragmatism in business education along with promises, issues and challenges such industry school interface can offer. The data collection for this hypothesized model will be collected from business executives, business school management and alumni. This intercourse will offer new insight into the business education system. The study results will be valuable towards bringing improvements to the existing business education system. Keywords: Business Education, Management, School - Industry Interface, Pragmatism, Industr