【Author】 Li, Xingyi Gan, Kai Zhou, Qi

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】In this paper, we use the time-varying parameter vector autoregressions (TVP-VAR) model to examine volatility connectedness among 5 cryptocurrencies and 5 China's financial assets in static and dynamic scenarios. We find that the dynamic total connectedness of the system exhibits large dynamic variability. When the total connectedness breaks through 50%, it will move down rapidly. Ethereum and Litecoin are increasing their influence, whereas Bitcoin is losing its leadership. The impact of the cryptocurrency market on China's financial market has become very small since 2022Q1. Furthermore, the COVID-19 outbreak has a long-term (short-term) impact on the gold market (the other markets).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Volatility connectedness; TVP-VAR model; COVID-19 outbreak

【发表时间】2023

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103476

【Author】 Urom, Christian Ndubuisi, Gideon Guesmi, Khaled

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链应用-虚拟经济-NFT

【Abstract】We examine the dependence between volume and returns for the NFT market and three sub-markets (Cryptokitties, Cryptopunks, and Decentraland) using both quantile cross-spectral coherency and quantile regression techniques. Results from both techniques show significant evidence of dependence between NFT return and volume. Dependence between volume and return is weakest in the Cryptopunks market. Similarly, quantile regression results show that during extreme market conditions, equity and gold markets uncertainty, business condition and term-spread are important predictors of Cryptokitties returns, while oil, equity and gold markets uncertainty and geopolitical risks significantly predict Cryptopunks and Decentraland markets returns. In all cases, increase in Bitcoin prices reduces NFT market returns.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Non-Fungible Tokens; Quantile cross-spectral; Quantile regression; Market factors; Geopolitical risks

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103188

【Author】 Qiao, Xingzhi Zhu, Huiming Tang, Yiding Peng, Cheng

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链应用-虚拟经济-DeFi

【Abstract】This study examines the time-frequency extreme risk spillover network among cryptocurrency coins, decentralized finance and non-fungible tokens via wavelet-based quantile causality anal-ysis. We derive the following empirical results. First, long-lived coins dominate cryptocurrencies' upside and downside risk networks. Second, yield farming tokens exacerbate decentralized fi-nance's depreciation risk but hedge risk in the medium term. Metaverse-related non-fungible tokens are the center of NFTs' upside risk network but reverse in the long term. Third, traditional concepts affect the depreciation risk, and emerging concepts drive market prosperity in the long run. Overall, these can provide investors with diversified strategies and risk management suggestions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; DeFi tokens; NFTs; Wavelet; Quantile causality network

【发表时间】2023

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103489

【Author】 Zhou, Hao Gao, Jian-Yi Chen, Ying

【Source】FRONTIERS IN PUBLIC HEALTH

【影响因子】6.461

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】Cognitive decline is a gradual neurodegenerative process that is affected by genetic and environmental factors. The doctor-patient relationship in the healthcare for cognitive decline is in a "shallow" medical world. With the development of data science, virtual reality, artificial intelligence, and digital twin, the introduction of the concept of the metaverse in medicine has brought alternative and complementary strategies in the intervention of cognitive decline. This article technically analyzes the application scenarios and paradigms of the metaverse in medicine in the field of mental health, such as hospital management, diagnosis, prediction, prevention, rehabilitation, progression delay, assisting life, companionship, and supervision. The metaverse in medicine has made primary progress in education, immersive consultation, dental disease, and Parkinson's disease, bringing revolutionary prospects for non-pharmacological complementary treatment of cognitive decline and other mental problems. In particular, with the demand for non-face-to-face communication generated by the global COVID-19 epidemic, the needs for uncontactable healthcare service for the elderly have increased. The paradigm of self-monitoring, self-healing, and healthcare experienced by the elderly through the metaverse in medicine, especially from meta-platform, meta-community, and meta-hospital, will be generated, which will reconstruct the service modes for the elderly people. The future map of the metaverse in medicine is huge, which depends on the co-construction of community partners.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】mental health; cognitive decline; Alzheimer's disease; metaverse in medicine; virtual reality; digital twin

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 观点阐述

【DOI】 10.3389/fpubh.2022.1016680

【Author】 Qiao, Liang Dang, Shuping Shihada, Basem Alouini, Mohamed-Slim Nowak, Robert Lv, Zhihan

【Source】DIGITAL COMMUNICATIONS AND NETWORKS

【影响因子】6.348

【主题类别】

区块链技术-核心技术-核心技术集

【Abstract】Recently, decentralization has been extensively explored by researchers. Blockchain, as a representation of decentralized technology, has attracted attention with its unique characteristics, such as irrevocability and se-curity. Consequently, herein, we introduce cutting-edge blockchain technologies from four directions: blockchain system, consensus algorithms, smart contract, and scalability. Subsequently, we analyze the current lack of consensus mechanism, fault tolerance, and block capacity of the blockchain, and the integration of blockchain into 5G/6G mobile communication. Furthermore, we discuss the possible applications of blockchain in intellec-tual property protection, the Internet of Things, digital twins, standardization, and epidemic prevention and control. Finally, explore the impacts and solutions of blockchain on human society beyond technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Consensus algorithm; Scalability; Smart contract; Internet of things; Digital twins

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 综述

【DOI】 10.1016/j.dcan.2021.07.004

【Author】 Elhence, Anubhav Goyal, Adit Chamola, Vinay Sikdar, Biplab

【Source】IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS

【影响因子】4.747

【主题类别】

区块链应用-实体经济-保险领域

【Abstract】Health insurance is crucial for each person, bearing in mind the increasing medical costs. COVID-19 has been an eye-opener as to how important it is to have health insurance. Medical emergencies can have a severe emotional and financial impact. Thus, a health insurance policy can help mitigate financial risks in unpredictable circumstances. However, the current insurance system is very expensive, as thousands of people pay the premiums, and very few take the claims. Furthermore, the claim settlement process is excruciatingly long and tiresome. In this article, we focus on establishing a rapid and cost-effective framework for the health insurance market, based on machine learning and blockchain technology. By developing a smart contract, blockchain may eliminate any third-party organizations and make the complete process safer, easier, and more efficient. The contract pays the claim based on the claimant's documentation. We optimized the premiums using a regression model based on the net amount claimed during the current policy tenure and various other criteria. For anticipating risk, a random forest classifier is used, which aids in the risk-rated premium rebate computation for policyholders for their next term of insurance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Ethereum; insurance; machine learning; random forest; regression; smart contract

【发表时间】

【收录时间】2022-12-08

【文献类型】 理论模型

【DOI】 10.1109/TCSS.2022.3219256

【Author】 Mohsan, Syed Agha Hassnain Razzaq, Abdul Ghayyur, Shahbaz Ahmed Khan Alkahtani, Hend Khalid Al-Kahtani, Nouf Mostafa, Samih M.

【Source】INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

【影响因子】4.614

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Several academicians have been actively contributing to establishing a practical solution to storing and distributing medical images and test reports in the research domain of health care in recent years. Current procedures mainly rely on cloud-assisted centralized data centers, which raise maintenance expenditure, necessitate a large amount of storage space, and raise privacy concerns when exchanging data across a network. As a result, it is critically essential to provide a framework that allows for the efficient exchange and storage of large amounts of medical data in a secure setting. In this research, we describe a unique proof-of-concept architecture for a distributed patient-centric test report and image management (PCRIM) system that aims to facilitate patient privacy and control without the need for a centralized infrastructure. We used an Ethereum blockchain and a distributed file system technology called the Inter-Planetary File System in this system (IPFS). Then, to secure a distributed and trustworthy access control policy, we designed an Ethereum smart contract termed the patient-centric access control protocol. The IPFS allows for the decentralized storage of medical metadata, such as images, with worldwide accessibility. We demonstrate how the PCRIM system design enables hospitals, patients, and image requestors to obtain patient-centric data in a distributed and secure manner. Finally, we tested the proposed framework in the Windows environment by deploying a smart contract prototype on an Ethereum TESTNET blockchain. The findings of the study indicate that the proposed strategy is both efficient and practicable.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】digital health; blockchain; smart contract; Ethereum; distributed storage; IPFS; medical images sharing; health system

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 理论模型

【DOI】 10.3390/ijerph192214641

【Author】 Bansal, Gaurang Rajgopal, Karthik Chamola, Vinay Xiong, Zehui Niyato, Dusit

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】The COVID-19 pandemic has revealed several limitations of existing healthcare systems. Thus, there is a surge in healthcare innovation and new business models using computer-mediated virtual environments to provide an alternative healthcare system. Today, digital transformation is not limited to virtual communication alone but encompasses digitalizing the network of social connections in the healthcare industry using metaverse technology. The metaverse is a universal and immersive virtual world facilitated by virtual reality (VR) and augmented reality (AR). This paper presents the first effort to offer a comprehensive survey that examines the latest metaverse developments in the healthcare industry, which covers seven domains: telemedicine, clinical care, education, mental health, physical fitness, veterinary, and pharmaceuticals. We review metaverse applications and deeply discuss technical issues and available solutions in each domain that can help develop a self-sustaining, persistent, and future-proof solution for medical healthcare systems. Finally, we highlight the challenges that must be tackled before fully embracing the metaverse for the healthcare industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Metaverse; healthcare; IoT; AI; machine learning; blockchain; AR/VR; 6G; networking

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 综述

【DOI】 10.1109/ACCESS.2022.3219845

【Author】 Kliber, Agata

【Source】NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE

【影响因子】3.136

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This article aims to find the best safe-haven for stock investors in the American market since the COVID-19 pandemic outbreak. The research period covers March 2020-May 2022. Among the possible alternatives, we analyse the traditional ones: US bonds, gold, and silver, as well as the new ones: stable DeFi and CeFi coins, and most popular cryptocurrencies: Bitcoin and Ether. We study quantile coherency between S&P 500 and each asset and the respective conditional correlation. We show that the safe-haven properties of the assets varied over time and that centralized stablecoins could have been used as safe-haven against American stocks during the pandemics.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Safe haven; Quantile coherency; S&P 500; COVID-19; Stablecoins; DeFi coins; Cryptocurrencies

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1016/j.najef.2022.101825

【Author】 Jiang, Song Zhou, Jie Qiu, Shuang

【Source】ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA

【影响因子】3.080

【主题类别】

区块链治理-市场治理-价格预测

【Abstract】The existing studies rarely reveal the reasons for the digital currency price fluctuation from the perspective of internal interaction and contagion. Therefore, to fill this research gap, this paper comprehensively adopts the dynamic conditional correlation (DCC-) GARCH model and wavelet coherence analysis (WTC) to reveal the internal correlation and formation reasons of digital currency price fluctuations. Our research has the following findings: (1) the price fluctuations of digital currency are highly related. Through the observation of the dynamic conditional correlation coefficient graph, it is found that the price fluctuations have a strong time-varying trend, manifested as a 'contagious' characteristic. (2) During the outbreak of COVID-19, most digital currencies have shown positive resonance in the short, medium, and long term, suggesting that the COVID-19 pandemic has increased the correlation and contagion of digital currency price fluctuations. (3) In the short term, Bitcoin is the main 'contagious source' of digital currency price fluctuation. But in the medium and long term, Ethereum and Ripple, which are closely related to the real economy, have a greater impact and become the new 'contagious source'. Generally speaking, Bitcoin, Ethereum, and Ripple are the internal causes of instability in the digital currency market. Finally, based on the empirical conclusion, this paper proposes that the digital currency portfolio should be optimized to meet the investment demand; strengthen digital currency regulatory cooperation, and improve regulatory efficiency. Let the digital currency return to the 'currency' attribute and serve the real economy.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Digital currency; price fluctuation; correlation; contagion; DCC-GARCH model; wavelet coherence analysis

【发表时间】

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1080/1331677X.2022.2134901

【Author】 Briola, Antonio Aste, Tomaso

【Source】ENTROPY

【影响因子】2.738

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】We investigate logarithmic price returns cross-correlations at different time horizons for a set of 25 liquid cryptocurrencies traded on the FTX digital currency exchange. We study how the structure of the Minimum Spanning Tree (MST) and the Triangulated Maximally Filtered Graph (TMFG) evolve from high (15 s) to low (1 day) frequency time resolutions. For each horizon, we test the stability, statistical significance and economic meaningfulness of the networks. Results give a deep insight into the evolutionary process of the time dependent hierarchical organization of the system under analysis. A decrease in correlation between pairs of cryptocurrencies is observed for finer time sampling resolutions. A growing structure emerges for coarser ones, highlighting multiple changes in the hierarchical reference role played by mainstream cryptocurrencies. This effect is studied both in its pairwise realizations and intra-sector ones.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】complex systems; network science; econophysics; economics; financial markets; cryptocurrencies

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.3390/e24111548

【Author】 Farahat, Ibrahim Shawky Aladrousy, Waleed Elhoseny, Mohamed Elmougy, Samir Tolba, Ahmed Elsaid

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Nowadays, the Internet of Medical Things (IoMT) technology is growing and leading the revolution in the global healthcare field. Exchanged information through IoMT permits attackers to hack or modify the patient's data. Hence, it is of critical importance to ensure the security and privacy of this information. The standard privacy techniques are not secured enough, so this paper introduces blockchain technology that is used for securing data. Blockchain is used with the smart contract to secure private patient records. This paper presents how a patient may send his vital signs to the physician through the Internet without meeting with the latter in person. These vital signs are collected from the IoMT system that we developed before. In the proposed method, each medical record is stored in the block and connected to the previous block by a hashing function. In order to secure the new block, the SHA256 algorithm is used. We modified the SHA256 algorithm by using run-length code in compressing data. If any hacker attempts to attack any medical record, he must change all previous blocks. In order to preserve the rights of the doctor and patient, a smart contract is built into the blockchain system. When the transaction begins, the smart contract withdraws the money from the patient's wallet and stores it in the smart contract. When the physician sends the treatment to the patient, the smart contract transfers the money to the physician. This paper shows that all recent work implements Blockchain 2 into the security system. This paper also shows that our security system can create a new block with O (n + d) time complexity. As a result, our system can create one hundred blocks in two minutes. Additionally, our system can deposit the money from the patient's wallet into the physician's wallet promptly. This paper also shows that our method performs better than all subsequent versions of the original blockchain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Internet of Medical Things; blockchain; medical smart contract; security

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 理论模型

【DOI】 10.3390/electronics11223786

【Author】 Zhang, Xiao Yang, Deling Yow, Cheun Hoe Huang, Lihui Wu, Xiaoqun Huang, Xijun Guo, Jia Zhou, Shujun Cai, Yiyu

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】The metaverse has gained popularity recently in many areas including social media, healthcare, education and manufacturing. This work explores the use of the metaverse concept for cultural heritage applications. The motivation is to develop a systematic approach for the construction of a cultural heritage metaverse and to offer, potentially, more effective solutions for tourism guidance, site maintenance, heritage object conservation, etc. We propose a framework for this cultural heritage metaverse with an emphasis on fundamental elements and on characterization of the mapping between the physical and virtual cultural heritage worlds. Efforts are made to analyze the dimensional structures of the cultural heritage metaverse. Specifically, five different dimensions, linearity, planarity, space, time and context, are discussed to better understand this metaverse. The proposed framework and methodology are novel and can be applied to the digitalization of cultural heritage via its metaverse development. This is followed by a detailed case study to illustrate the tangible procedure, constructing a cultural heritage metaverse with a complex and dynamic nature which can be used for different applications, including heritage conservation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cultural heritage; metaverse; digital twin; virtual reality continuum; five dimensions

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 观点阐述

【DOI】 10.3390/electronics11223730

【Author】 Khan, Salma Gulistan, Muhammad Kausar, Nasreen Kousar, Sajida Pamucar, Dragan Addis, Gezahagne Mulat

【Source】COMPLEXITY

【影响因子】2.121

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】One of the most important innovations brought by digitization is the cryptocurrency, also called virtual or digital currency, which has been discussed in recent years and in particular is a new platform for investors. Different types of cryptocurrencies such as Bitcoin, Ethereum, Binance Coin, and Tether do not depend on a central authority. Decision making is complicated by categorization and transmission of uncertainty, as well as verification of digital currency. The weighted average and weighted geometric aggregation operators are used in this article to define a multi-attribute decision-making approach. This work investigates the uniqueness of q-rung orthopair fuzzy hypersoft sets (q-ROFHSS), which respond to instabilities, uncertainty, ambiguity, and imprecise information. This research also covers some fundamental topics of q-ROFHSS. The model offered here is the best option for learning about electronic currency. This study validates the complexity of decision-making problems with different attributes and subattributes to obtain an optimal choice. We conclude that Bitcoin has a diverse set of applications and that crypto assets are well positioned to become an important asset class in decision making.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 实证数据

【DOI】 10.1155/2022/7257449

【Author】 Luo, Changqing Pan, Lurun Chen, Binwei Xu, Huiru

【Source】MATHEMATICAL PROBLEMS IN ENGINEERING

【影响因子】1.430

【主题类别】

区块链治理-市场治理-价格预测

【Abstract】In recent years, digital currencies have flourished on a considerable scale, and the markets of digital currencies have generated a nonnegligible impact on the whole financial system. Under this background, the accurate prediction of cryptocurrency prices could be a prerequisite for managing the risk of both cryptocurrency markets and financial systems. Considering the multiscale attributes of cryptocurrency price, we match the different machine learning algorithms to corresponding multiscale components and construct the ensemble prediction models based on machine learning and multiscale analysis. The Bitcoin price series, respectively, from 2017/11/24 to 2020/4/21 and 2020/4/22 to 2020/11/27, is selected as the training and prediction datasets. The empirical results show that the ensemble models can achieve a prediction accuracy of 95.12%, with better performance than the benchmark models, and the proposed models are robust in upward and downward market conditions. Meanwhile, the different algorithms are applicable for components with varying time scales.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-12-08

【文献类型】 理论模型

【DOI】 10.1155/2022/2126518