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254 results on '"Khan, Ajab"'

18. Stability Studies of Vaccines

Author

Khan, Ajab, Ahsan, Anam, Farooq, Muhammad Asim, Baig, Mirza Muhammad Faran Ashraf, Aslam, Qurat-ul-ain, Akash, Muhammad Sajid Hamid, editor, and Rehman, Kanwal, editor

Published
2020
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20. Does board demographic diversity affect the dividend payout policy in Turkey?

Author

Khan, Ajab, Yilmaz, Mustafa Kemal, and Aksoy, Mine

Abstract

Purpose: The purpose of this study is to investigate the impact of board demographic diversity on the dividend payout policy in Turkish capital markets. Design/methodology/approach: Using a sample of 67 non-financial companies listed on Borsa Istanbul 100 index from 2013 to 2018, this study examines the influence of board demographic diversity on dividend payout policies in Turkish capital markets. The authors also create a Demographic Board Diversity Index (DBDI) to estimate the composite cognitive diversity. The authors use dividend payment probability, dividend payout ratio, and dividend yield to measure the dividend policy and employ panel logit and tobit regression models. Findings: The results indicate that diversity in nationality, experience and educational background play an influential role in encouraging companies to pay high dividends, while gender, tenure and age diversity are insignificant in affecting dividend payments. The findings also suggest that the DBDI positively affects the companies in formulating the dividend payout policies. Finally, the findings show that the family-owned companies with diverse board members have a negative influence on dividend payment intensity. Originality/value: The results offer valuable insights for companies and policymakers in emerging markets to develop a more refined governance structure accommodating board demographic diversity attributes to mitigate agency conflicts between controlling and minority shareholders through setting up effective dividend payout policies. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Stochastic simulation of P2P VoIP network reconfiguration using graph transformation

Author

Khan, Ajab and Heckel, Reiko

Subjects
004.652
Abstract

Peer-to-Peer (P2P) networks provide an alternative approach to distributed systems, relaxing the requirements for dedicated servers from the client-server model. A P2P network operates as an overlay at application layer, on top of the physical network. In the early years of P2P, most applications lacked mechanisms for enforcing a particular overlay topology. This resulted in inefficient communication schemes, such as flooding or the maintenance of large numbers of connections with other peers. However, researchers and practitioners have realized the importance of constructing and maintaining appropriate overlay topologies for efficient and robust P2P systems. P2P-based Voice over IP (VoIP) networks, such as Skype, distinguish client peers from super peers. This results in a two-level hierarchy: Peers with powerful CPU, more free memory and greater bandwidth take on server-like responsibilities and provide services to a set of client peers. But building and maintaining a super peer-based overlay topology is not easy. In particular, the uncontrollable and unpredictable behaviour of peers results in volatile overlay topologies. This makes it challenging to design reconfigurable and stable networks that provide good Quality of Service (QoS). Various solutions have been proposed. However, peer dynamics, scale and complexity make it hard and expensive to validate them by testing. Simulation can help to validate network designs and protocols, but most existing approaches cannot cope with unbounded dynamic change of network topology. We propose a new approach to the modelling and simulation of P2P network reconfigurations using graph transformation, a visual rule based formalism. Based on existing alternatives we classify network design variations by means of a feature tree. Focussing on P2P VoIP applications, we develop a structural model and transformation rules to compare alternative solutions to the problems of selection and connection to super peers, peer promotion, and load balancing, evaluating their QoS properties. We validate the model using statistics from the real Skype network and experimental data in the literature.

Published
2012

42. Additional file 1 of Curcumol inhibits EMCV replication by activating CH25H and inhibiting the formation of ROs

Author

Zheng, Jiangang, Sun, Panpan, Sun, Na, Hao, Zhili, Fan, Kuohai, Yin, Wei, Khan, Ajab, Guo, Jianhua, Zheng, Xiaozhong, and Li, Hongquan

Abstract

Additional file 1: Supplementary Figure 1. Curcumol activates CH25H via JAK/STAT signaling pathway. Three concentrations of curcumol (0.025, 0.0125 and 0.00625 mg/mL) and ribavirin (0.25 mg/mL) were selected to treat EMCV-infected HEK-293T cells for 24 h, and the expression of JAK1, STAT2, P-STAT2, IRF9 and CH25H protein were detected by Western blot. Supplementary Figure 2. Curcumol did not affect the production of PI4KA and OSBP. Curcumol (0.025, 0.0125 and 0.00625 mg/mL) and HPCD (5 mg/mL) were selected to treat EMCV-infected HEK-293T cells for 24 h, and the expression of PI4KA and OSBP protein were detected by Western blot.

Published
2023
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