Taylors University

About: Taylors University is a based out in . It is known for research contribution in the topics: Tourism & Population. The organization has 1513 authors who have published 2954 publications receiving 33603 citations.

Formulation development and characterization of lumefantrine nanosuspension for enhanced antimalarial activity

Abstract: Variable and low oral bioavailability (4-11%) of lumefantrine (LUF), an anti-malarial agent, is characterized by very low solubility in aqueous vehicle. Thus, the present study was intended to form...

The effect of green CSR skepticism on positive attitude, reactance, and behavioral intention

Abstract: This paper aims to examine the impact of corporate social responsibility (CSR) skepticism on dual types of attitudinal factors (i.e. positive attitude and reactance) and examine the impact of attitudinal factors on customers' behavioral intention.,This study applies mixed-method research to examine the link between CSR skepticism, positive attitude, reactance and behavioral intention based on attitude-behavior-context theory.,As predicted, CSR skepticism weakens a favorable attitude toward CSR, whereas it increases the level of reactance. Also, CSR skepticism negatively influences behavioral intention, while positive attitude and reactance positively influence behavioral intention.,Understanding customers' skepticism toward CSR has become increasingly important because of its negative consequences. Despite existing studies on CSR skepticism, few have focused on why and how CSR skepticism leads to negative behavioral outcomes. Thus, this research contributes to existing tourism literature by examining the role of CSR skepticism on their attitude and behavior. Findings will help researchers and practitioners understand how CSR skepticism impacts customers' behavioral intention and develops CSR strategies to enhance the behavioral intention to patronize.

Intrusion Detection Forecasting Using Time Series for Improving Cyber Defence

Abstract: The strength of time series modeling is generally not used in almost all current intrusion detection and prevention systems By having time series models, system administrators will be able to better plan resource allocation and system readiness to defend against malicious activities In this paper, we address the knowledge gap by investigating the possible inclusion of a statistical based time series modeling that can be seamlessly integrated into existing cyber defense system Cyber-attack processes exhibit long range dependence and in order to investigate such properties a new class of Generalized Autoregressive Moving Average (GARMA) can be used In this paper, GARMA (1, 1; 1, ±) model is fitted to cyber-attack data sets Two different estimation methods are used Point forecasts to predict the attack rate possibly hours ahead of time also has been done and the performance of the models and estimation methods are discussed The investigation of the case-study will confirm that by exploiting the statistical properties, it is possible to predict cyber-attacks (at least in terms of attack rate) with good accuracy This kind of forecasting capability would provide sufficient early-warning time for defenders to adjust their defense configurations or resource allocations

Bitcoin—A hype or digital gold? Global evidence

Abstract: This study explores whether Bitcoin constitutes as a hedging instrument whilst seeking portfolio diversification opportunities among sustainable, conventional and Islamic asset classes since Bitcoin emerges as a distinct alternative investment and asset class across the world. We apply multivariate generalised autoregressive conditional heteroscedastic‐dynamic conditional correlation and continuous wavelet transforms based on the recent data set ranging from August 18, 2011, to September 10, 2018. First, our findings show that Bitcoin returns are mean‐reverting which implies that its value tends to come down to mean value in the long run and not completely crushed to zero irrespective of price changes suggesting Bitcoin as a sustainable asset class. Second, the time‐invariant model shows that Bitcoin offers portfolio diversification opportunities with almost all equity indices, in particular, Dow Jones Islamic followed by FTSE 4 Good index. Finally, the time‐variant analysis reconfirms that Bitcoin offers portfolio diversification benefits both in the short and long run. These findings carry meaningful policy considerations for fund managers and cross‐country investors.