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| 1 | High frequency multiscale relationships among major cryptocurrencies:portfolio management implications显示文摘This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin,Ethereum,Monero,Dash,Ripple,and Litecoin.We apply nonlinear Granger causality and rolling window wavelet correlation(RWCC)to 15 min-data.Empirical RWCC results indicate mostly positive co-movements and long-term memory between the cryptocurrencies,especially between Bitcoin,Ethereum,and Monero.The nonlinear Granger causality tests reveal dual causation between most of the cryptocurrency pairs.We advance evidence to improve portfolio risk assessment,and hedging strategies. | Walid Mensi Mobeen Ur Rehman Muhammad Shafiullah Khamis Hamed Al‑Yahyaee Ahmet Sensoy | 2021 | Financial Innovation2021，7，1： | 2 |
| 2 | Regulation of hepatocyte nuclearfactor I activity by wild-type and mutant hepatitis B virus x proteins显示文摘 | ur Xu Z ZhcllgY el al | 2002 | J Vir- 012002，76，12： | 1 |
| 3 | Toxoplasma gondii in the peripheral blood of patients with acute and chronic toxoplasmosis显示文摘 | Silveira C Vallochi AL da Silva UR | 2011 | Br J Ophthalmol2011，95，3： | 1 |
| 4 | Single feed stacked patch circualr polarized antenna for triple band gps receivers 显示文摘 | Oluyemi P Falade Masood Ur Rehman Yue (Frank) Gao et al | 2012 | IEEE Transactions on Anten- nas and Propagation2012，60，10： | 1 |
| 5 | Sulfation patterns de-termine cellular internalization of heparin-like polysaccharides显示文摘 | RAMAN K MENCIO C DESAI UR e? al | 2013 | Mol PWm2013，10，4： | 1 |
| 6 | A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model显示文摘Due to the inherent insecure nature of the Internet,it is crucial to ensure the secure transmission of image data over this network.Additionally,given the limitations of computers,it becomes evenmore important to employ efficient and fast image encryption techniques.While 1D chaotic maps offer a practical approach to real-time image encryption,their limited flexibility and increased vulnerability restrict their practical application.In this research,we have utilized a 3DHindmarsh-Rosemodel to construct a secure cryptosystem.The randomness of the chaotic map is assessed through standard analysis.The proposed system enhances security by incorporating an increased number of system parameters and a wide range of chaotic parameters,as well as ensuring a uniformdistribution of chaotic signals across the entire value space.Additionally,a fast image encryption technique utilizing the new chaotic system is proposed.The novelty of the approach is confirmed through time complexity analysis.To further strengthen the resistance against cryptanalysis attacks and differential attacks,the SHA-256 algorithm is employed for secure key generation.Experimental results through a number of parameters demonstrate the strong cryptographic performance of the proposed image encryption approach,highlighting its exceptional suitability for secure communication.Moreover,the security of the proposed scheme has been compared with stateof-the-art image encryption schemes,and all comparison metrics indicate the superior performance of the proposed scheme. | Jawad Ahmad Mimonah Al Qathrady Mohammed SAlshehri Yazeed Yasin Ghadi Mujeeb Ur Rehman Syed Aziz Shah | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 7 | Correction to:High frequency multiscale relationships among major cryptocurrencies:portfolio management implications显示文摘Correction to:Financ Innov 7:75(2021)http://gffzzd3cc09b8251d45dfs5xx5xpq5w55k6wcb.ffgz.tsg.suse.edu.cn/10.1186/s40854-021-00290-w Following publication of this article(Mensi et al.2021),the corresponding author reported that his 2nd affiliation was missing.So the corresponding author’s affiliations are:1Department of Economics and Finance,College of Economics and Political Science,Sultan Qaboos University,Muscat,Oman 2South Ural State University,76,Lenin Prospekt,Chelyabinsk,Russian Federation The affiliations have been updated in this Correction and in the original article. | Walid Mensi Mobeen Ur Rehman Muhammad Shafullah Khamis Hamed Al‑Yahyaee Ahmet Sensoy | 2021 | Financial Innovation2021，7，1： | 0 |
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