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Blockchain, State-of-the-Art and Future Trends

TLDR
A non exhaustive list on the state of the art about Blockchain technology in multiple application fields, both from an industry and business perspective and from a consumer one and a dedicated focus on the frictions between distributed ledgers and data protection regulations crossing all these areas are presented.

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Blockchain for the IoT and industrial IoT: A review

TL;DR: The basic structure and main features of blockchain are introduced and the security requirements to develop IoT and Industry 4.0 are summarized and some recommendations are proposed to guide future blockchain researchers and developers.
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A blockchain-based framework of cross-border e-commerce supply chain

TL;DR: This research focuses on the cross-border e-commerce context, to propose a blockchain-based framework, and develop a set of corresponding techniques and methods for achieving traceable products and transactions in supply chain management.
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Blockchain data-based cloud data integrity protection mechanism

TL;DR: The blockchain-based integrity protection framework is built by the virtual machine proxy model, and the unique hash value corresponding to the file generated by the Merkel hash tree is used to monitor the data change by means of the smart contract on the blockchain.
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Blockchain technology in the future smart grids: A comprehensive review and frameworks

TL;DR: A structure of SG according to the blockchain application is presented and all benefits and drawbacks caused by blockchain in different areas of SG are discussed.
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AuthPrivacyChain: A Blockchain-Based Access Control Framework with Privacy Protection in Cloud

TL;DR: This work proposes a blockchain-based access control framework with privacy protection called AuthPrivacyChain, which can not only prevent hackers and administrators from illegally accessing resources, but also protect authorized privacy.
References
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Journal ArticleDOI

The World Bank: Friend or foe to the poor?

Robin Stott
- 27 Mar 1999 - 
TL;DR: This week's BMJ includes the first of Kamran Abbasi's articles on the World Bank, and for health workers concerned with the pathology and relief of poverty, knowledge about the bank is as important as anatomy is to surgeons.
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Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

TL;DR: A detailed taxonomy of the main multi-agent approaches proposed in the literature, focusing on their related mathematical models is presented, including nonstationarity, scalability, and observability.
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Predicting Employee Attrition Using Machine Learning Techniques

TL;DR: The goal of this work is to analyse how objective factors influence employee attrition, in order to identify the main causes that contribute to a worker’s decision to leave a company, and to be able to predict whether a particular employee will leave the company.
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LoRa System for Search and Rescue: Path-Loss Models and Procedures in Mountain Scenarios

TL;DR: It is proved by experimental results that the long-range (LoRa) low-power wide-area network (LPWAN) technology is very promising for SaR applications due to its extended radio range.