1,721,034 research outputs found
The interrelation among environmental quality, public accounts, and macroeconomic fundamentals: An analysis of OECD countries using machine learning techniques
No full textThis study explores the intricate relationships among environmental quality, public finance indicators, and socioeconomic variables in OECD countries, using Machine Learning (ML) techniques for the period 1990–2021. The research uniquely identifies key factors influencing renewable energy consumption (REC) by incorporating various public finance indices, macroeconomic fundamentals, trade measures, and socio-economic variables. By emphasizing the role of public debt policies, the study uncovers their significant yet complex and non-linear influence on renewable energy adoption. Unlike existing studies, this research utilizes Neural Networks (NN), a state-of-the-art ML technique, to generate robust and reliable outcomes. This methodological innovation sets the study apart by offering more accurate feature importance scores compared to traditional econometric methods. The findings advance our understanding of the crucial role that public finance plays in achieving Sustainable Development Goals (SDGs), particularly SDG-7, and underscore the necessity of effective public debt management for fostering environmental sustainability. Policy implications drawn from the results provide actionable recommendations for governments to enhance REC adoption while achieving broader environmental goals
AI-Based Modelling and Processing Technologies for Hydrogen Creation
No full textThis research aims to thoroughly analyse recent advancements in method demonstration and the implementation of Artificial Intelligence (AI) in integrated hydrogen production and carbon capture. The primary objective is to offer a detailed account of the anticipated role of AI in shaping future research endeavours related to blue hydrogen production and carbon capture. This involves a focus on Machine Learning (ML) applications in material development and process optimisation. The research provides an overview of AI and cycle demonstration in a relevant context, accompanied by a concise examination of recent developments in blue hydrogen production. The foundational instruments of AI modelling and processing are briefly outlined, and their application in blue hydrogen creation is discussed, considering both advantages and drawbacks. Ultimately, the research aims to deliver a comprehensive overview of the advancements in ML, emphasising its substantial contribution to accelerating blue hydrogen generation, particularly in the realms of material and process development. AI modelling and processing technologies are preferred for hydrogen creation due to their superior ability to optimise complex, data-intensive processes and accelerate material innovation, overcoming the limitations of traditional modelling methods
Greening the mines: Managing efficiency, environmental impact, and ecology in Chinese mining regions
No full textThis research aims to devise a statistically sound method for evaluating the efficacy of green development in the mining industry across various Chinese regions while keeping environmental challenges and ecological conservation in view to identify potential challenges and opportunities for implementing green growth initiatives in the mining industry. A three-stage network structure is utilized for evaluation. By employing a dynamic network framework utilizing the Slacks-Based Measure (SBM) method, the research explores the progress of green development in the mining sector across 21 Chinese regions from 2005 to 2022. The Malmquist index examines the changing trends and internal efficiency of green development in mining. The outcomes suggest that productivity levels decreased initially in most provinces before improving over time. The efficiency of the overall process is closely linked to the enhancement of ecological efficiency, which is a direct outcome of adopting sustainable mining practices. Disparities in the pace and extent of environmentally friendly economic development are evident among provinces, with some experiencing annual development rates exceeding 25 %. Eastern regions like Hubei, Fujian, and Shandong show promising trends and opportunities. However, challenges persist in the Northeast and Xinjiang provinces, where inefficiencies may be recognized in several sub-processes
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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