1,720,955 research outputs found
Digital Trends and Implications on the Health Information Systems Functions Diversification
Get PDFImproving the interoperability of healthcare organizations as the imperative of digitizing health services leads to the strengthening of an initiative for electronic health functions diversification. The focus is on the long-term economic, and above all the health benefits of using technologically advanced tools of health information systems. Digital trends tend to strive for high personalization, customization and patientoriented information technolog solutions when implementing them in the health information system of a particular health organization. In view of this, the paper will monitor the evolution of digital trends in electronic healthcare and their impact on the functionality of health information systems, especially in terms of efficienc
MACHINE LEARNING METHODS FOR PREDICTING CIRCULAR ECONOMY PERFORMANCES OF THE WESTERN BALKAN COUNTRIES
No full textThe transition toward a circular economy (CE) in the Western Balkans is essential for aligning environmental performance with European Union sustainability objectives. This study applies machine learning (ML) techniques to predict and assess the circular economy performance of selected Western Balkan countries using key indicators from EUROSTAT: Resource Productivity, Waste Generation, and the Recycling Rate of Municipal Waste. Leveraging supervised learning models such as Random Forest Regression and XGBoost, the analysis reveals that resource productivity in the region lags behind the EU average, with values typically below 0.9 EUR/kg, indicating significant inefficiencies in transforming resource use into economic value. Model performance metrics suggest strong predictive capability, with R² scores exceeding 0.85 for all three indicators in training datasets, and RMSE values remaining within acceptable thresholds during cross-validation. The results highlight the value of machine learning for developing evidence-based policy interventions, benchmarking progress, and guiding resource efficiency improvements in line with CE principles. The study also underlines the need for better data integration and institutional support to enhance predictive accuracy and policy responsiveness in the region. Future research should prioritize the development of advanced forecasting models that combine machine learning with time-series analysis and system dynamics to simulate and anticipate circular economy performance over time. Integrating macroeconomic variables and environmental impact indicators could improve model robustness and interpretability. Expanding datasets with region-specific policy measures, socio-economic characteristics, and infrastructural readiness would provide deeper insights into country-level drivers and barriers. Ultimately, predictive modeling must be coupled with transparent dashboards and decision-support tools for policymakers, enabling real-time scenario planning and strategic intervention toward CE transition goals
THE ROLE OF DIGITALIZATION FOR GREEN GROWTH AND PERSPECTIVES IN THE CIRCULAR ECONOMY
No full textDigitalization has significantly increased the amount, accuracy and cost of information. From this aspect, digitalization is of particular importance for the development of the circular economy. Taking into account what economic activities encompass the circular economy, it simply represents a necessity for every society and its well-being.
Digital solutions should help in developing business models based on a circular economy, making the processes in companies more efficient in terms of waste minimization, longer product life and reduction of transaction costs. The need for virtualization of processes and product movement, as well as the increase of efficiency in the reuse of products and resources, will enable growth of business models based on CE. Authors of this paper analyze the importance of the circular economy, its potentials and challenges, underlining the benefits of green agenda, green finance, analysis of the business behavior, thus analyzing the challenges of overcoming the current situation and greater movement towards the CE.
 
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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