1,720,958 research outputs found
Topics Analysis and Trends on Blockchain Applications in the Energy Sector
No full textBlockchain technology is increasingly finding its way into application areas as it offers major improvements in efficiency, security, and transparency in a wide range of activities. Among others, blockchain has enormous potential for influence in the energy sector, particularly in the field of renewable energy. This paper analyzes the most interesting applications of this technology in the energy sector from the topics most discussed on technical forums. Specifically, this study seeks to identify and examine the most discussed topics through a topic analysis on a dataset of articles extracted from CoinDesk. It is proposed, from these texts, to identify important topics related to energy markets, energy communities, energy traceability, and energy certification. The results were obtained using a Bidirectional Encoder Representations from Transformers (BERT) model for deep topic analysis. BERT provides detailed insight into blockchain technology and renewable energy discussions using natural language processing to extract latent topics and trends. This research attempts to contribute to the existing knowledge set by offering a systematic analysis of the most important topics in the application of blockchain to the energy sector. The results of this study can help technologists identify the interests of the community and foster progress in integrating blockchain into the renewable energy paradigm
Blockchain in the Energy Sector for SDG Achievement
Full text linkBlockchain technology finds application in multiple sectors, including renewable energy. Numerous blockchain-based applications aim to provide support in the production, management, distribution, and consumption of green energy. The benefits offered are not only technological but also social, environmental, and economic. The purpose of this study is to examine how the application of blockchain in the energy industry may affect the achievement of the Sustainable Development Goals (SDGs). This study is composed of two parts. The first part concerns the identification and analysis of the most relevant categories of blockchain applications in the energy sector and their ability to contribute to the achievement of the SDGs. A knowledge base, comprising scientific articles, gray literature, and real-world applications, has been created and analyzed. With a keyword-based approach, each application was associated with one or more SDGs. In the second part, the Sustainability Awareness Framework (SuSAF) was used to examine the findings of the first part of the study and discuss them in terms of five dimensions of sustainability. Finally, potential risks associated with the use of blockchain in the energy sector are also covered. Results reveal that tracking energy production and consumption and renewable energy communities are the applications that have the most beneficial effects, and that the benefits linked to blockchain adoption go beyond the energy sector to include the environment, the economy, industry, infrastructure, smart cities, and society
Interoperability Between EVM-Based Blockchains
Full text linkBlockchain is a disruptive technology that is changing the dynamics of numerous societal contexts. Interest in this technology is growing in both the academic and social spheres. Different blockchains usually work as isolated worlds that cannot communicate. The research and implementation of efficient interoperability protocols between blockchains should increase their expressiveness and make them more versatile and applicable in many real-world contexts. To this end, we investigate a possible interoperability protocol that aims at connecting Ethereum-based blockchains. By exploiting the properties of Ethereum Virtual Machines, we propose an interoperability protocol that works at the application level and makes use of off-chain processes and events to finalise an inter-chain transaction. Use cases such as synchronisation or movement of data, transfer of fungible and non-fungible tokens and cross-chain smart contract execution are addressed. Finally, we show the event semantics needed to drive inter-chain transactions
Smart Contracts Posts and Topic on Reddit
No full text<p>A dataset including two CSVs collecting Reddit posts including respectively:<br>- Permalink: The post's link<br>- Title: The post's title<br>- author: The author's name.<br>- authorUrl: The URL to the author's profile<br>- commentCount: The number of comments related to the post<br>- id: The id of the post<br>-createdDate: The creation date of the reddit post<br>- query: Contains the URL of the board<br>- category: The category related to the subreddit post<br>- score: post score<br>- awardCount: number of awards<br>- silverCount: number of silver gildings<br>- goldCount: number of gold gildings<br>- platinumCount: number of platinum gildings<br>- upvoteRatio: the upvote ratio</p>
Blockchain Topics in energy sector from CoinDesk
No full text<p>This dataset includes articles related to blockchain technology used in energy application. The dataset includes section, title, timestamp, author, and corpus. This dataset is used to spot relevant topics discussed on CoinDesk. Please consider that this dataset will be extended with more information from other forum.</p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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