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Gohar Fractional Derivative: Theory and Applications
The local fractional derivatives marked the beginning of a new era in fractional calculus. Due to their that have never been observed before in the field, they are able to fill in the gaps left by the nonlocal fractional derivatives and substantially increase the field’s theoretical and applied potential. In this article, we introduce a new local fractional derivative that possesses some classical properties of the integer-order calculus, such as the product rule, the quotient rule, the linearity, and the chain rule. It meets the fractional extensions of Rolle’s theorem and the mean value theorem and has more properties beyond those of previously defined local fractional derivatives. We reveal its geometric interpretation and physical meaning. We prove that a function can be differentiable in its sense without being classically differentiable. Moreover, we apply it to solve the Riccati fractional differential equations to demonstrate that it provides more accurate results with less error in comparison with the previously defined local fractional derivatives when applied to solve fractional differential equations. The numerical results obtained in this work by our local fractional derivative are shown to be in excellent agreement with those produced by other analytical and numerical methods such as the enhanced homotopy perturbation method (EHPM), the improved Adams-Bashforth-Moulton method(IABMM), the modified homotopy perturbation method (MHPM), the Bernstein polynomial method (BPM), the fractional Taylor basis method (FTBM), and the reproducing kernel method (RKM)
Implicit solution for logistic Caputo-Fabrizio fractional differential equation with Allee effect
In the current research work, the fractional version of logistic differential model is studied with Allee effect which includes a threshold population. It is also studied with initial conditions. The definition of the fractional derivative utilised in this research is the Caputo-Fabrizio. In order to give the solution of the posed problem by an implicit representation, a method based on fractional derivative properties is used
Does Stock Market React to Terrorist Attack? An Evidence from 9/11 Attack Using Event Study
The global economy and financial markets around the world are said to be adversely affected by the terrorist attack of 11 September 2001. The present study empirically evaluates the impacts of terrorist attacks on the top 20 stock market indices of the world. The Event study approach is used to conclude that there is a significant impact of the terrorist attack on stock indices of the selected countries, as the following stock market indices showed an adverse abnormal return on the day of the event namely, New York Stock Exchange, NASDAQ, Shenzhen Stock Exchange, National Stock Exchange of India, Frankfurt Stock Exchange, Bombay Stock Exchange, Euronext Paris Exchange, Johannesburg stock exchange and Euronext Brussels. While the rest of the selected stock markets showed a positive abnormal return on the event date. In the following days of the event, the Stock exchange in China showed a negative abnormal CAR for 80 days, while stock exchanges in India showed a negative abnormal CAR in the 20 days following the event. Most of the stock exchanges were not much affected by the event, even if there was an effect it didn’t last long, as the abnormal return was positive after a while. 
Export Diversification, Financial Sector Development and Economic Growth: Empirical Evidence from West African Sub-Region
In this study, we explored the influence of trade diversification and financial sector development on economic growth of ten West African countries for the period 2007 to 2020. The study employed the panel autoregressive distributed lag (ARDL) model since some of the variables were stationary at level while others were stationary at first difference, fully modified ordinary least squares approach of estimation, and Granger causality test. The findings of the study from the ARDL model indicated that export diversification exerts a negative effect on economic growth both in the short-run and in the long-run, though such effect were insignificant. The effect of financial sector development on growth is observed to be positive and significant in the short-run, and negative and significant in the long-run. From the robustness check, the FMOLS result indicated that export diversification exerted a negative and significant effect on growth; while the effect of financial development is positive but insignificant. The Granger causality test revealed that a unidirectional causality flow between export diversification and economic growth, with the former causing the latter. The implication of this findings is that countries within the West African region should specialize in some export products in order to boost efficiency in production and the resultant effect on greater export and export earnings
A Systemic Risk’s Effect on the Stability of the Banking Sector: Evidence from Saudi Arabia
The banking sectors are exposed to a lot of pressure due to the events taking place in the region, the most important of which is the decline in global oil prices and geopolitical events that led to political instability in the Middle East. This paper aims to study the macroeconomic variables that could be potential sources of systemic risks and to test their impact on the stability of the banking sector in the Kingdom of Saudi Arabia (1984-2020), using the ARDL approach of Co- integration and stability testing. In light of the economic theory and literature, systemic risks were identified by fluctuations in oil prices, interest rates, inflation and political instability as independent variables. The results showed a significant positive effect of oil prices and inflation on the banking sector's total assets and total deposits. In addition, the interest rate has a negative effect on total assets while positively affecting total deposits. Furthermore, political instability significantly affects the total assets of the banking sector during the Yemeni war, while there is insufficient evidence about its impact on total deposits
The Impact of Corporate Social Responsibility on Environmental Performance: evidence from less developed countries
This paper aims to study the relationship between corporate social responsibility and environmental performance in Yemeni small and medium industrial enterprises. Based on a research framework, a self-questionnaire was used to collect data from a sample of 220 owners/managers of small and medium enterprises. The empirical results reveal that there is a significant positive relationship between four dimensions of corporate social responsibility (suppliers, environment, human resource management, and society) and the environmental performance of Yemeni SMEs, in contrast, there is one dimension of corporate social responsibility (investors), and its results showed no relationship with environmental performance
Data Mining and Business Intelligence for Better Healthcare Decision
Business intelligence is a subject of business information whose purpose is to make strategies that include new technologies, applications, and practices to collect the targeted information. Data mining is one of the most motivating areas of research and it is become gaining popularity in healthcare organization day by day. Data mining is based on several techniques such as classification, clustering, association, and regression in the health domain. While data mining has several advantages but also has disadvantages. This research-based finding helps any healthcare organization to make the decision that helps the organization to become more popular and demandable
Mathematical Model for Dengue Fever with Vertical Transmission and Control Measures: Dengue Fever Model
Dengue Fever is one of the infectious vector-borne diseases transmitted to humans through the biting ofAedes mosquito species. In this study, we formulate a deterministic mathematical model with vertical transmissionand control measures for simulating Dengue Fever transmission between humans and vectors. Themodel was analyzed and we determined the basic reproduction number. Also, stability analysis of the modelequilibrium points derived with respect to the basic reproduction number value and the forward bifurcationoccurred for the model. Sensitivity analysis for the basic reproduction number achieved local and global andwe determined the important parameters for Dengue Fever transmission. Through the numerical simulationof the model by using the Runge–Kutta fourth order method we investigate the effects of the control measureson the model compartments. Recommendations for eradicating and reducing Dengue Fever transmission areprovided
The Translator’s Responsibilities and Roles within the Analysis-Synthesis Translation Mode: History of Chinese Journalism as the Case
Concerning analysis-synthesis translation mode, this paper discusses the translator’s responsibilities and roles as the subject in the translation practice based on the mistranslations of Ge Gongzhen's History of Chinese Journalism. Missionary J. S. Roberts believed that translation was the logical combination of two processes—— analysis and synthesis. The analysis process is characterized by understanding. It emphasizes translators’ accurate understanding and professional analysis of the source text, while the synthesis process focuses on the transformation of language and culture. The two processes are dependent, forming the whole process of translation altogether. As the indisputable subject of translation, the translator should assume his own responsibilities in the two processes and conform to the certain principles to produce accurate and professional translation texts. The translator should be responsible for the facts and professional academics in the analysis process, and language and culture and translation itself in the synthesis process, playing the role of a reviewer, communicator and translator to realize the value of himself and the translation practice
The Self-translator’s [In]Visibility: Domestication, Foreignization, and More
This paper examines the translator's invisibility and visibility in applying the translation strategies of domestication and foreignization used in autobiographical self-translation from Japanese to English. This study is part of a larger research project investigating the self-translation process I experienced while self-translating my autobiography, originally written in Japanese, my native language, into English, my second language. In this autobiographical self-translation process, the roles of the author, first-person narrator, protagonist, and translator are coterminous. Therefore, the narrative's translation process must be examined from multiple perspectives, which involve, for instance, the author-translator's perceptions of the new target audience, the events, and participants described in the story, etc. Focusing primarily on the influence of the audience, the present study examines, from a social-psychological perspective, the translator's style-shifting behavior as manifested in the application of the two translation strategies. Domestication, for instance, can be seen as the translator's convergence toward the target text audience (i.e., readers) and foreignization as a divergence from them. Self-translators may apply foreignization, not only for divergence but for other reasons—e.g., their emotional attachment toward the source text, story, and characters. In self-translation, the author and translator are identical. This fact may make the issue of translators' invisibility insignificant. Yet, self-translators may still become invisible when they apply domestication and converge toward the target text audience. But at the same time, the application of domestication or foreignization by self-translators may be regarded as their expression of their selves, which makes them truly visible as translators—likely not to the audience but to themselves