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Bioretention is a typical low impact development (LID) practice that helps reduce peak urban stormwater runoff and runoff pollutant concentrations (e.g., heavy metals, suspended solids, organic pollutants), which has become an important part of urban stormwater management over the past 15 years. To understand the research hotspots and frontiers in the field of bioretention facility research and provide a reference for research into bioretention facilities, we conduct a statistical analysis of global bioretention literature published during 2007–2021 using the Web of Science core database and the data visualization and analysis software VOSviewer and HistCite. The number of published articles related to bioretention facilities shows a rising trend over the study period, with research from China contributing greatly to global research on bioretention facilities. However, the influence of articles needs to be increased. Recent studies mainly focus on the hydrologic effect and water purification effect of bioretention facilities and on the removal of nitrogen and phosphorus nutrients from runoff rainwater. Further studies should focus on the interaction of fillers, microorganisms, and plants in bioretention facilities and its impact on the migration, transformation, and concentrations of nitrogen and phosphorus; the purification effect and mechanism of specific emerging contaminants in runoff; the selection and configuration optimization of filler materials and plant species; and the optimization of the design parameters of the model for bioretention systems. [ABSTRACT FROM AUTHOR]

The concept of carbon neutrality has been promoted and implemented in increasing countries since the twenty-first century. In-depth research on carbon neutrality has helped improve the environmental conditions and played a particular role in sustaining economic and social development. However, there is a less comprehensive review of the status in this field; therefore, this article uses the information visualization software CiteSpace to thoroughly analyze carbon neutrality research from multiple perspectives. This study aims to reveal the current research evolutions and hotspots in this field, predict future research trends, and construct the framework for better understanding. The results find that the number of papers published on carbon neutrality keeps increasing annually, and carbon neutrality has been the widely participated domain. In addition, publications by organizations and in top journals have aroused wide attention, and the hot spots on carbon neutrality have shifted to policy, recovery, and efficiency. Based on the results, a knowledge framework of this domain is constructed to give readers a clearer understanding of the evolvement and trends, which will also provide targeted references and help for future researchers. [ABSTRACT FROM AUTHOR]

This study presents the results of the 3D microstructure, thermal conductivity, and heat flow in cement-based foams and examines their changes with a range of densities. Images were captured using X-ray micro computed tomography (micro-CT) imaging technique on cement-based foam samples prepared with densities of 400, 600, and 800 kg/m3. These images were later simulated and quantified using 3D data visualization and analysis software. Based on the analysis, the pore volume of 11000 µm3 was determined across the three densities, leading to optimal results. However, distinct pore diameters of 15 µm for 800 kg/m3, and 20 µm for 600 and 400 kg/m3 were found to be optimum. Most of the pores were spherical, with only 10% appearing elongated or fractured. In addition, a difference of 15% was observed between the 2D and 3D porosity results. Moreover, a difference of 5% was noticed between the experimentally measured thermal conductivity and the numerically predicted value and this variation was constant across the three cast densities. The 3D model showed that heat flows through the cement paste solids and with an increase in porosity this flow reduces. [ABSTRACT FROM AUTHOR]

In recent years, with the massive growth of data, the world today has entered the era of big data. Big data has brought tremendous value to all fields of today's society, and it has also brought enormous challenges, which has attracted great attention from all walks of life. Analyze and forecast the research hotspots and future development trends in the field of big data, and understand the development changes and priorities in the field of big data research, which will play a significant role in promoting the development of social development and scientific research. In the era of big data, how to extract information from huge amounts of complex data and present complex information more clearly and clearly, the most effective way is to use visualization technology. The article uses the information visualization software Citespace to study the data related to big data in the Web of Science and CNKI database from 2008 to 2017 for 10 years, from macro to micro to the representative countries of the literature, keywords and co-cited documents. Through visualization analysis, the article clarifies the key research directions, key documents and hot spot frontiers in the field of big data research, forecasts the future development trends in this field, and compares the research situation at home and abroad, in order to provide readers and other researchers with certain reference and help. [ABSTRACT FROM AUTHOR]

Epigenomics researchers are exploring new ways to visualize the many different types of genome marks. [ABSTRACT FROM AUTHOR]

This paper addresses the role that argumentation schemes and argument visualization software tools can play in helping to find and counter objections to a given argument one is confronted with. Based on extensive analysis of features of the argumentation in these two examples, a practical four-step method of finding objections to an argument is set out. The study also applies the Carneades Argumentation System to the task of finding objections to an argument, and shows how this system has some capabilities that are especially useful. [ABSTRACT FROM AUTHOR]

This paper describes the application of human-computer interaction (HCI) principles and methods to requirements engineering in a case study development of a visualisation tool, ADVISES, to support epidemiological research. The development approach consisted of scenario-based design and analysis of the users' tasks and mental model of the domain. Prototyping and storyboarding techniques were used to explore design options with users as well as specifying functionality for two versions of the software to meet the needs of novice and expert users. Application of HCI functional allocation heuristics to guide system requirements decisions is explained. An evaluation of the prototype was carried out to assess the extent to which the expert model would support public health professionals in their analysis activities. The results of the design exploration requirements analysis study are reported. The implications of scenario-based design exploration, functional allocation and software architecture are discussed. [ABSTRACT FROM AUTHOR]

Leaks in resource transmission pipelines is a growing concern for the water transmission industry. This creates a need to prevent the threat of leaks and minimize their damages through extensive research in leak detection technology. This research work provides a thorough investigation into the history of leak detection in pipelines by surveying the web of knowledge database and visualizing the outputs using visualization software VOSviewer and CiteNetExplorer. The analysis of the web of knowledge output presents a set of the ten most used keywords in the field of leak detection in pipelines that are further described and analyzed. Additionally, in-depth analysis of a randomly selected sample of papers was conducted to draw a sense of the progress in the industry over the past four decades. This article also defines a novel approach to define the leak detection phases, i.e., the identify-localize-pinpoint approach. Furthermore, two classes of leak detection systems are identified, static leak detection systems and dynamic leak detection systems. The two systems are defined as well as their differentiative capabilities. Finally, this article provides a summary of popular leak detection technologies to provide a broad sense of understanding for the leak detection field of research. [ABSTRACT FROM AUTHOR]

The article offers information on the importance of genetic data visualization. It reports that the process of data visualization aimed at providing facility to users for exploring and explaining data by using interactive software which can be helpful in recognizing genetic patterns. It informs that the process helps the user to easily understanddata as it possesses a well-designed graphical depictions of information with simple perceptual inferences.