On the basis of making clear diversity characteristics of soil functions and multiple characteristics of income, this paper points out that the monetization of soil functions based functional maintenance and change de...On the basis of making clear diversity characteristics of soil functions and multiple characteristics of income, this paper points out that the monetization of soil functions based functional maintenance and change decision process can be regarded as a game process of different utilization methods at the background of different functions. The balance of this game process will determine monetary value of soil functions. After understanding money and monetization concepts, it introduces that measurability and exchangeability of soil functions provide objective conditions for monetization of soil functions. Finally, it discusses that usefulness value of soil functions provide basis for monetization of soil functions.展开更多
Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and ...Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives.展开更多
The purpose of the paper is to identify the factors of financial development that have the greatest impact on open innovation in 7 emerging countries.The analysis was performed featuring the MF-X-DMA method,as well as...The purpose of the paper is to identify the factors of financial development that have the greatest impact on open innovation in 7 emerging countries.The analysis was performed featuring the MF-X-DMA method,as well as its further verification for auto-correlation and heteroscedasticity.The time period covers years from 2002 to 2020.The article states that the main indicators to improve financial development should enhance the process of bank lending and equity market development.An important area is the development of competition by providing equal access to information to all market participants in a continuously refining technical infrastructure.Regression analysis with the MF-X-DMA method confirms the statistical significance of this influ-ence.The article fills the knowledge gap into the link between open innovations and the relatively low capitalization of the modern emerging countries’financial market,low liquidity in small cap stocks at the financial market and concentration of the banking sector,as well as risks arising in the process of globalization.Another analysis has also been conducted by generating a novel fuzzy decision-making model.In the first stage,the determinants of open innovation-based fintech potential are weighted for the emerging economies.For this purpose,M-SWARA methodology is taken into consideration based on bipolar q-ROFSs and golden cut.The second stage of the analysis includes evaluating the emerging economies with the determinants of open innovation-based fintech potential.In this context,emerging seven countries are examined with ELECTRE methodology.It found the most significant factor is the open innovation-based fintech potential.展开更多
基金Supported by Hebei Provincial Social Science Foundation Project in 2012(HB12YJ055)
文摘On the basis of making clear diversity characteristics of soil functions and multiple characteristics of income, this paper points out that the monetization of soil functions based functional maintenance and change decision process can be regarded as a game process of different utilization methods at the background of different functions. The balance of this game process will determine monetary value of soil functions. After understanding money and monetization concepts, it introduces that measurability and exchangeability of soil functions provide objective conditions for monetization of soil functions. Finally, it discusses that usefulness value of soil functions provide basis for monetization of soil functions.
文摘Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives.
文摘The purpose of the paper is to identify the factors of financial development that have the greatest impact on open innovation in 7 emerging countries.The analysis was performed featuring the MF-X-DMA method,as well as its further verification for auto-correlation and heteroscedasticity.The time period covers years from 2002 to 2020.The article states that the main indicators to improve financial development should enhance the process of bank lending and equity market development.An important area is the development of competition by providing equal access to information to all market participants in a continuously refining technical infrastructure.Regression analysis with the MF-X-DMA method confirms the statistical significance of this influ-ence.The article fills the knowledge gap into the link between open innovations and the relatively low capitalization of the modern emerging countries’financial market,low liquidity in small cap stocks at the financial market and concentration of the banking sector,as well as risks arising in the process of globalization.Another analysis has also been conducted by generating a novel fuzzy decision-making model.In the first stage,the determinants of open innovation-based fintech potential are weighted for the emerging economies.For this purpose,M-SWARA methodology is taken into consideration based on bipolar q-ROFSs and golden cut.The second stage of the analysis includes evaluating the emerging economies with the determinants of open innovation-based fintech potential.In this context,emerging seven countries are examined with ELECTRE methodology.It found the most significant factor is the open innovation-based fintech potential.
