scholarly journals The Mechanism of Evolution and Balance for e-Commerce Ecosystem under Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Fengqin ZhuanSun ◽  
Jiaojiao Chen ◽  
Wenlong Chen ◽  
Yan Sun
Keyword(s):  
Sustainable Development ◽  
Ecosystem Model ◽  
Information Channel ◽  
Information Ecology ◽  
The Core ◽  
Blockchain Technology ◽  
Core Idea ◽  
Intelligent Logistics ◽  
Evolutionary Paths ◽  
Work First

With the development of society, e-commerce competition has become increasingly intense and has ascended to the level of the ecosystem. Therefore, it is extremely significant to study the mechanism of evolution and balance for the e-commerce ecosystem. Simultaneously, blockchain technology is essentially a consensus mechanism, the core idea of which is decentralization, but it is actually the deconstruction of privileges and authority. Especially, the influence on the e-commerce ecosystem cannot be underestimated. Blockchain technology ultimately changes not only technology, but a comprehensive reconstruction of various industries. Building an e-commerce information ecosystem based on blockchain can promote the healthy and sustainable development of e-commerce information ecology. This work combines the definition and technical characteristics of blockchain, discusses the blockchain-based e-commerce information ecosystem model, and discusses how to achieve the ecological balance and system evolution of e-commerce under the background of blockchain. According to the internal problems of the e-commerce ecosystem, three evolutionary paths are proposed in this work. First, consider the timeliness of the information and construct a full-process information channel. Second, remove central nodes and build a safe and efficient block payment. Third, solve the blind zone in the field of logistics and create efficient and transparent intelligent logistics. This work can provide an effective reference for the development of e-commerce.

Sustainable Development is a Dead-End: The Logic of Modernity and Ecological Crisis

2020 ◽  
Author(s):  
Simon Lumsden
Keyword(s):  
Sustainable Development ◽  
Ecological Crisis ◽  
Self Determination ◽  
Ecological Sustainability ◽  
Planetary Boundaries ◽  
Western Modernity ◽  
Conceptual Frame ◽  
The Core ◽  
Dead End ◽  
Core Idea

This paper examines the theory of sustainable development presented by Jeffrey Sachs in The Age of Sustainable Development. While Sustainable Development ostensibly seeks to harmonise the conflict between ecological sustainability and human development, the paper argues this is impossible because of the conceptual frame it employs. Rather than allowing for a re-conceptualisation of the human–nature relation, Sustainable Development is simply the latest and possibly last attempt to advance the core idea of western modernity — the notion of self-determination. Drawing upon Hegel’s account of historical development it is argued that Sustainable Development and the notion of planetary boundaries cannot break out of a dualism of nature and self-determining agents.

scholarly journals TFCrowd: a blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chunxiao Li ◽  
Xidi Qu ◽  
Yu Guo
Keyword(s):  
Shapley Value ◽  
Smart Contracts ◽  
The Core ◽  
Blockchain Technology ◽  
Smart Contract ◽  
False Reporting ◽  
Critical Issues ◽  
Evaluation Mechanism ◽  
Core Idea ◽  
Cloud Servers

AbstractBlockchain technology has attracted considerable attention due to the boom of cryptocurrencies and decentralized applications. Among them, the emerging blockchain-based crowdsourcing is a typical paradigm, which gets rid of centralized cloud-servers and leverages smart contracts to realize task recommendation and reward distribution. However, there are still two critical issues yet to be solved urgently. First, malicious evaluation from crowdsourcing requesters will result in honest workers not getting the rewards they deserve even if they have provided valuable solutions. Second, unfair evaluation and reward distribution can lead to low enthusiasm for work. Therefore, the above problems will seriously hinder the development of blockchain-based crowdsourcing platforms. In this paper, we propose a new blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness, named TFCrowd. The core idea of TFCrowd is utilizing a smart contract of blockchain as a trusted authority to fairly evaluate contributions and allocate rewards. To this end, we devise a reputation-based evaluation mechanism to punish the requester who behaves as “false-reporting” and a Shapley value-based method to distribute rewards fairly. By using our proposed schemes, TFCrowd can prevent malicious requesters from making unfair comments and reward honest workers according to their contributions. Extensive simulations and the experiment results demonstrate that TFCrowd can protect the interests of workers and distribute rewards fairly.

scholarly journals TFCrowd: A Blockchain-based Crowdsourcing Framework with Enhanced Trustworthiness and Fairness

2021 ◽  
Author(s):  
Chunxiao Li ◽  
Xidi Qu ◽  
Yu Guo
Keyword(s):  
Shapley Value ◽  
Smart Contracts ◽  
The Core ◽  
Blockchain Technology ◽  
Smart Contract ◽  
False Reporting ◽  
Critical Issues ◽  
Evaluation Mechanism ◽  
Core Idea ◽  
Cloud Servers

Abstract Blockchain technology has attracted considerable attention due to the boom of cryptocurrencies and decentralized applications. Among them, the emerging blockchain-based crowdsourcing is a typical paradigm, which gets rid of centralized cloud-servers and leverages smart contracts to realize task recommendation and reward distribution. However, there are still two critical issues yet to be solved urgently. First, malicious evaluation from crowdsourcing requesters will result in honest workers not getting the rewards they deserve even providing valuable solutions. Second, unfair evaluation and reward distribution can lead to workers’ reluctance to work actively. Therefore, the above problems will seriously hinder the development of blockchain-based crowdsourcing platforms. In this paper, we propose a new blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness, named TFCrowd. The core idea of TFCrowd is utilizing a smart contract of blockchain as a trusted authority to fairly evaluate contributions and allocate rewards. To this end, we devise a reputation-based evaluation mechanism to punish the requester who behaves as “false-reporting” and a Shapley value-based method to distribute rewards fairly. By using our proposed schemes, TFCrowd can prevent malicious requesters from making unfair comments and reward honest workers according to their contributions. Extensive simulations and the experiment results demonstrate that TFCrowd can protect the interests of workers and distribute rewards fairly.

scholarly journals Research on Blockchain-Based E-Bidding System

2021 ◽  
Vol 11 (9) ◽  
pp. 4011
Author(s):  
Dan Wang ◽  
Jindong Zhao ◽  
Chunxiao Mu
Keyword(s):  
Data Transmission ◽  
Privacy Protection ◽  
Graph Isomorphism ◽  
Third Party ◽  
Business Logic ◽  
Core Concept ◽  
The Core ◽  
Blockchain Technology ◽  
Smart Contract ◽  
Bidding Process

In the field of modern bidding, electronic bidding leads a new trend of development, convenience and efficiency and other significant advantages effectively promote the reform and innovation of China’s bidding field. Nowadays, most systems require a strong and trusted third party to guarantee the integrity and security of the system. However, with the development of blockchain technology and the rise of privacy protection, researchers has begun to emphasize the core concept of decentralization. This paper introduces a decentralized electronic bidding system based on blockchain and smart contract. The system uses blockchain to replace the traditional database and uses chaincode to process business logic. In data interaction, encryption techniques such as zero-knowledge proof based on graph isomorphism are used to improve privacy protection, which improves the anonymity of participants, the privacy of data transmission, and the traceability and verifiable of data. Compared with other electronic bidding systems, this system is more secure and efficient, and has the nature of anonymous operation, which fully protects the privacy information in the bidding process.

The impact of applying good governance standards in reducing corruption and achieving sustainable development in Yemen

2021 ◽  
Vol 26 ◽  
pp. 769-791
Keyword(s):  
Sustainable Development ◽  
Development Process ◽  
Good Governance ◽  
Arab Countries ◽  
Significant Decline ◽  
The Core ◽  
Efficiency And Effectiveness ◽  
Political Economic ◽  
The Impact

This paper aims to highlight the role of applying good governance standards in reducing corruption and achieving sustainable development in Yemen, since good governance represents the core of the development process of countries and societies. Good governance is based on the principle of transparency, accountability, efficiency and effectiveness in order to raise the capacity and efficiency of the state and make it more capable and effective to achieve sustainable development. Corruption in all its forms is one of the biggest obstacles to sustainable development in Yemen, and a major reason for wasting state resources and limiting foreign investment, and thus the expansion of poverty, the poor, and other effects related to the failure to achieve sustainable development. Yemen is one of the most Arab countries facing major challenges in the field of implementing good governance and combating corruption in order to achieve sustainable development and achieve its goals at all political, economic, social and environment. This paper concluded that Yemen suffers from a lack of implementation and enforcement of good governance standards, as well as a rampant corruption, which has led to an expansion of poverty and a significant decline in development rates. Key words: Good Governance, Corruption, Sustainable development.

scholarly journals Mapping built environment professionals’ educational needs to international policy frameworks for disaster risk reduction – community stakeholder perspective

2018 ◽  
Vol 9 (4/5) ◽  
pp. 368-384
Author(s):  
Srinath Perera ◽  
Onaopepo Adeniyi ◽  
Solomon Olusola Babatunde ◽  
Kanchana Ginige
Keyword(s):  
Sustainable Development ◽  
Built Environment ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Educational Needs ◽  
Disaster Risk ◽  
International Policy ◽  
Content Type ◽  
The Core ◽  
Policy Frameworks

Purpose Disaster risk reduction is prominent in the international policy agenda, and the year 2015 brought together three international policy frameworks that contribute to disaster risk reduction (i.e. the Sendai framework for disaster risk reduction, the Sustainable Development Goals and Paris Climate Change Agreement – COP21). However, there is a dearth of effort at identifying and aligning the specific educational needs of built environment professionals with the three policy frameworks. This is needed to facilitate the incorporation of the contents of the policy frameworks into built environment professionals’ training. Therefore, this study aims to map the educational needs of built environment professionals with the core areas of the three international policy frameworks. Design/methodology/approach This study utilized CADRE (Collaborative Action towards Disaster Resilience Education) research project outcomes alongside the earlier mentioned three international policy frameworks. A comprehensive desk review was done to map the educational needs identified in the CADRE project with the core priority areas of the three policy frameworks. Findings The study revealed the educational needs that are significant towards an effective implementation of the core priority areas of the three international policy frameworks. Practical implications This study would be beneficial to the built environment professionals involved in disaster risk reduction. They will be aware of the specific knowledge areas that would aid the successful implementation of the aforementioned three international policy frameworks. Originality/value The outcomes of the study would be beneficial to higher education providers in disaster risk reduction and sustainable development. It has identified the knowledge and competency gaps needed to be bridged in the curricula to meet the demands created by the international policy frameworks.

scholarly journals Semi-Supervised Noisy Label Learning for Chinese Medical Named Entity Recognition

2021 ◽  
pp. 1-10
Author(s):  
Zhucong Li ◽  
Zhen Gan ◽  
Baoli Zhang ◽  
Yubo Chen ◽  
Jing Wan ◽  
...  
Keyword(s):  
Hybrid System ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Final Test ◽  
Named Entity ◽  
The Core ◽  
Category Labels ◽  
Adversarial Training ◽  
Core Idea ◽  
The Impact

Abstract This paper describes our approach for the Chinese Medical named entity recognition(MER) task organized by the 2020 China conference on knowledge graph and semantic computing(CCKS) competition. In this task, we need to identify the entity boundary and category labels of six entities from Chinese electronic medical record(EMR). We construct a hybrid system composed of a semi-supervised noisy label learning model based on adversarial training and a rule postprocessing module. The core idea of the hybrid system is to reduce the impact of data noise by optimizing the model results. Besides, we use post-processing rules to correct three cases of redundant labeling, missing labeling, and wrong labeling in the model prediction results. Our method proposed in this paper achieved strict criteria of 0.9156 and relax criteria of 0.9660 on the final test set, ranking first.

scholarly journals Automatic Inference of Sound Correspondence Patterns Across Multiple Languages

2018 ◽  
Author(s):  
Johann-Mattis List
Keyword(s):  
Pattern Recognition ◽  
Graph Theory ◽  
Crucial Role ◽  
Phylogenetic Reconstruction ◽  
Automatic Method ◽  
Network Approach ◽  
The Core ◽  
Cover Problem ◽  
Core Idea ◽  
Multiple Languages

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words which fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here we present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns which can be inferred for a given dataset. By excluding those patterns which occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the paper presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the paper. To illustrate the usefulness of the method, we present how the inferred patterns can be used to predict words that have not been observed before.

scholarly journals Asymmetric Distribution Measure for Few-shot Learning

2020 ◽  
Author(s):  
Wenbin Li ◽  
Lei Wang ◽  
Jing Huo ◽  
Yinghuan Shi ◽  
Yang Gao ◽  
...  
Keyword(s):  
State Of The Art ◽  
Asymmetric Distribution ◽  
Query Image ◽  
Local Descriptor ◽  
Innovative Design ◽  
Feature Representations ◽  
The Core ◽  
Measure Function ◽  
Asymmetric Relation ◽  
Core Idea

The core idea of metric-based few-shot image classification is to directly measure the relations between query images and support classes to learn transferable feature embeddings. Previous work mainly focuses on image-level feature representations, which actually cannot effectively estimate a class's distribution due to the scarcity of samples. Some recent work shows that local descriptor based representations can achieve richer representations than image-level based representations. However, such works are still based on a less effective instance-level metric, especially a symmetric metric, to measure the relation between a query image and a support class. Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning. To that end, we propose a novel Asymmetric Distribution Measure (ADM) network for few-shot learning by calculating a joint local and global asymmetric measure between two multivariate local distributions of a query and a class. Moreover, a task-aware Contrastive Measure Strategy (CMS) is proposed to further enhance the measure function. On popular miniImageNet and tieredImageNet, ADM can achieve the state-of-the-art results, validating our innovative design of asymmetric distribution measures for few-shot learning. The source code can be downloaded from https://github.com/WenbinLee/ADM.git.

scholarly journals Keadilan Hukum Jeremy Bentham dan Relevansinya bagi Praktik Hukum Kontemporer

Humaniora ◽  
2012 ◽  
Vol 3 (1) ◽  
pp. 299
Author(s):  
Frederikus Fios
Keyword(s):  
Global Politics ◽  
Jeremy Bentham ◽  
Ideal Model ◽  
The Core ◽  
The Subject ◽  
Core Idea ◽  
The Universe ◽  
Universe Of Discourse ◽  
British Philosopher ◽  
The Ideal

Fair punishment for a condemned has been long debated in the universe of discourse of law and global politics. The debate on the philosophical level was no less lively. Many schools of thought philosophy question, investigate, reflect and assess systematically the ideal model for the subject just punishment in violation of the law. One of the interesting and urgent legal thought Jeremy Bentham, a British philosopher renowned trying to provide a solution in the middle of the debate was the doctrine or theory of utilitarianism. The core idea is that the fair punishment should be a concern for happiness of a condemned itself, and not just for revenge. Bentham thought has relevance in several dimensions such as dimensions of humanism, moral and utility.  

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