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Journal articles on the topic 'Timeline visualization'
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Olsson, Jens, and Martin Boldt. "Computer forensic timeline visualization tool." Digital Investigation 6 (September 2009): S78—S87. http://dx.doi.org/10.1016/j.diin.2009.06.008.
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Nguyen, Phong H., Kai Xu, Rick Walker, and BL William Wong. "TimeSets: Timeline visualization with set relations." Information Visualization 15, no. 3 (October 12, 2015): 253–69. http://dx.doi.org/10.1177/1473871615605347.
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In this article, we introduce a novel timeline visualization technique, TimeSets, that helps make sense of complex temporal datasets by showing the set relationships among individual events. TimeSets visually groups events that share a topic, such as a place or a person, while preserving their temporal order. It dynamically adjusts the level of detail for each event to suit the amount of information and display estate. Various design options were explored to address issues such as one event belonging to multiple topics. A controlled experiment was conducted to evaluate its effectiveness by comparing it to the KelpFusion method. The results showed significant advantage in accuracy and user preference.
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Belden, Jeffery L., Pete Wegier, Jennifer Patel, Andrew Hutson, Catherine Plaisant, Joi L. Moore, Nathan J. Lowrance, Suzanne A. Boren, and Richelle J. Koopman. "Designing a medication timeline for patients and physicians." Journal of the American Medical Informatics Association 26, no. 2 (December 24, 2018): 95–105. http://dx.doi.org/10.1093/jamia/ocy143.
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AbstractObjectiveMost electronic health records display historical medication information only in a data table or clinician notes. We designed a medication timeline visualization intended to improve ease of use, speed, and accuracy in the ambulatory care of chronic disease.Materials and MethodsWe identified information needs for understanding a patient medication history, then applied human factors and interaction design principles to support that process. After research and analysis of existing medication lists and timelines to guide initial requirements, we hosted design workshops with multidisciplinary stakeholders to expand on our initial concepts. Subsequent core team meetings used an iterative user-centered design approach to refine our prototype. Finally, a small pilot evaluation of the design was conducted with practicing physicians.ResultsWe propose an open-source online prototype that incorporates user feedback from initial design workshops, and broad multidisciplinary audience feedback. We describe the applicable design principles associated with each of the prototype’s key features. A pilot evaluation of the design showed improved physician performance in 5 common medication-related tasks, compared to tabular presentation of the same information.DiscussionThere is industry interest in developing medication timelines based on the example prototype concepts. An open, standards-based technology platform could enable developers to create a medication timeline that could be deployable across any compatible health IT application.ConclusionThe design goal was to improve physician understanding of a patient’s complex medication history, using a medication timeline visualization. Such a design could reduce temporal and cognitive load on physicians for improved and safer care.
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Aoyama, David A., Jen-Ting T. Hsiao, Alfonso F. Cárdenas, and Raymond K. Pon. "TimeLine and visualization of multiple-data sets and the visualization querying challenge." Journal of Visual Languages & Computing 18, no. 1 (February 2007): 1–21. http://dx.doi.org/10.1016/j.jvlc.2005.11.002.
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Ono, Jorge P., Carlos Dietrich, and Claudio T. Silva. "Baseball Timeline: Summarizing Baseball Plays Into a Static Visualization." Computer Graphics Forum 37, no. 3 (June 2018): 491–501. http://dx.doi.org/10.1111/cgf.13436.
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Elmqvist, Niklas, and Philippas Tsigas. "CiteWiz: A Tool for the Visualization of Scientific Citation Networks." Information Visualization 6, no. 3 (September 2007): 215–32. http://dx.doi.org/10.1057/palgrave.ivs.9500156.
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We present CiteWiz, an extensible framework for visualization of scientific citation networks. The system is based on a taxonomy of citation database usage for researchers, and provides a timeline visualization for overviews and an influence visualization for detailed views. The timeline displays the general chronology and importance of authors and articles in a citation database, whereas the influence visualization is implemented using the Growing Polygons technique, suitably modified to the context of browsing citation data. Using the latter technique, hierarchies of articles with potentially very long citation chains can be graphically represented. The visualization is augmented with mechanisms for parent–child visualization and suitable interaction techniques for interacting with the view hierarchy and the individual articles in the dataset. We also provide an interactive concept map for keywords and co-authorship using a basic force-directed graph layout scheme. A formal user study indicates that CiteWiz is significantly more efficient than traditional database interfaces for high-level analysis tasks relating to influence and overviews, and equally efficient for low-level tasks such as finding a paper and correlating bibliographical data.
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TabinHasan, Khandaker, Sheikh Shaugat Abdullah, Rezwan Ahmed, and Fausto Giunchiglia. "The History of Temporal Data Visualization and a Proposed Event Centric Timeline Visualization Model." International Journal of Computer Applications 70, no. 27 (May 31, 2013): 27–33. http://dx.doi.org/10.5120/12241-8497.
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KÖKTÜRK, Gökhan Veli. "Tarihsel Gelişim Süreci İçerisinde Türk Sosyolojisi." Sosyolojik Bağlam Dergisi 2, April 2021 (April 15, 2021): 77–92. http://dx.doi.org/10.52108/2757-5942.2.1.5.
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This study, which contributes to the studies on sociologists and their works, which have an important place in the studies of determining the history of Turkish sociology, was formed by the theoretical combination of visualization and the history of Turkish Sociology. Studies to create a timeline are studies that cover the events that are effective in a certain period and which can be considered as a turning point in the development of, and their effects on, sociology. The aim is to select the events that are effective in the development of sociology as the main determinants and to bring to the fore among many factors. The process of creating a timeline differs from the history of sociology and falls within the scope of sociology of History. The integrity of a large number of variables is emphasized without looking for any linearity or causality relationship in the timeline studies. The most important part of the studies on creating a historical timeline is the visualization phase. A link should be established using visualization between Turkish sociology and the digital world. Thus, the history of Turkish sociology can be passed on to future generations. In this sense, narration, understanding and interpretation are important steps to be taken in the construction of society. In addition, the topics covered in the study that shape Turkish sociology are the events and phenomena that affect the structuring in the world.
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YASUDA, H., R. KAIHARA, S. SAITO, and M. NAKAJIMA. "Motion Belts: Visualization of Human Motion Data on a Timeline." IEICE Transactions on Information and Systems E91-D, no. 4 (April 1, 2008): 1159–67. http://dx.doi.org/10.1093/ietisy/e91-d.4.1159.
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Ruan, Wenjing, Haiyan Hou, and Zhigang Hu. "Detecting Dynamics of Hot Topics with Alluvial Diagrams: A Timeline Visualization." Journal of Data and Information Science 2, no. 3 (August 22, 2017): 37–48. http://dx.doi.org/10.1515/jdis-2017-0013.
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Abstract Purpose In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers’ interests. Research topics in scientometrics were constantly subdivided and re-merged. For example, a cluster involving “industry” was divided into several topics as research progressed. Research limitations When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.
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Castillo, Jaime Ramirez, and M. Julia Flores. "Web-Based Music Genre Classification for Timeline Song Visualization and Analysis." IEEE Access 9 (2021): 18801–16. http://dx.doi.org/10.1109/access.2021.3053864.
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Lusseyran, D., and D. Rockwell. "Estimation of velocity eigenfunction and vorticity distributions from the timeline visualization technique." Experiments in Fluids 6, no. 4 (January 1988): 228–36. http://dx.doi.org/10.1007/bf00187362.
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Shidek, Hardiansyah, Niken Cahyani, and Aulia Arif Wardana. "WhatsApp Chat Visualizer: A Visualization of WhatsApp Messenger’s Artifact Using the Timeline Method." International Journal on Information and Communication Technology (IJoICT) 6, no. 1 (June 20, 2020): 1. http://dx.doi.org/10.21108/ijoict.2020.61.489.
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<p>WhatsApp is a medium that everyone can use to interact and to share information effectively and efficiently. However, it can be misused for criminal activities. Analyzing WhatsApp' artifacts is quite challenging as the suspect may have a lot of random conversational data to be considered. This makes it difficult for the trial process to obtain digital traces that can be identified in malicious activities such as knowing who was involved when the conversation was held and the timespan. Therefore, in this research, a social media investigation of WhatsApp was carried out by acquiring data from rooted Android devices that were used as target devices for forensic activities. A python-based application is developed to show the content of the conversation, and a web-based application is presented to visualize the data using the Timeline method. Experimental results in this research display important timeline information such as information about who was involved when and what time the conversation was carried out with the suspect.</p>
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Slayton, Michael Henry, Richard C. Amodei, Keegan B. Compton, and Luke D. Cicchinelli. "Retrospective Analysis of Plantar Fascia by Ultrasound Imaging in Patients with Plantar Fasciitis." Journal of the American Podiatric Medical Association 108, no. 5 (September 1, 2018): 349–54. http://dx.doi.org/10.7547/16-083.
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Background: We compared diagnostic ultrasound images of the plantar fascia with available patient histories for symptomatic patients previously diagnosed as having plantar fasciitis. Plantar fascia thickness and depth, the prevalence of perifascial hypoechoic lesions, and injury timelines in patients were reviewed. Methods: Images and histories for 126 symptomatic patients were collected from a patient database. We documented plantar fascia depth and thickness and the visualization of hypoechoic perifascial lesions. After image analysis, the obtained plantar fascia thickness measurements were compared with various patient attributes for possible relationships, including age, weight, and body mass index. In addition, plantar fascia thickness measurements were separated based on injury timeline as well as symptomatic/asymptomatic foot for patients with unilateral conditions to check for significant differences between subgroups. These were, in turn, compared with a control group of 71 individuals with no heel pain or diagnosis of plantar fasciitis. Results: Overall, mean ± SD symptomatic thickness (n = 148) was 6.53 ± 1.56 mm. Mean ± SD symptomatic depth (n = 136) was 13.36 ± 2.14 mm. For the control group, mean ± SD thickness was 3.20 ± 0.66 mm and depth was 10.30 ± 2.00 mm. Comparison of thickness based on injury timeline showed two significant differences: acute injuries (≤3 months) are significantly thicker than chronic injuries (>3 months), and only acute symptomatic thicknesses are significantly different from their asymptomatic thickness counterparts. Age, weight, and body mass index did not show significant correlations to thickness. Analysis of ultrasound images showed that 93% of symptomatic feet had hypoechoic lesions. Conclusions: Injury timeline and the presence of hypoechoic lesions may play important roles in patient discomfort, diagnosis, and treatment of plantar fasciitis.
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Cho, Minwoo, Jee Hyun Kim, Hyoun Joong Kong, Kyoung Sup Hong, and Sungwan Kim. "A novel summary report of colonoscopy: timeline visualization providing meaningful colonoscopy video information." International Journal of Colorectal Disease 33, no. 5 (March 8, 2018): 549–59. http://dx.doi.org/10.1007/s00384-018-2980-3.
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Davidson, Alwyn, Deb Verhoeven, and Colin Arrowsmith. "Petal Diagrams: A New Technique for Mapping Historical Change in the Film Industry." International Journal of Humanities and Arts Computing 9, no. 2 (October 2015): 142–63. http://dx.doi.org/10.3366/ijhac.2015.0146.
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As the study of cinema has increasingly turned to the examination of economic ebbs and industrial flows, rather than focussing its attention solely on the critical evaluation of the films themselves, new analytic techniques and tools have been adopted (and adapted) by film scholars. Key amongst these is the use of innovative visualization techniques that can assist in the understanding of the spatial and temporal features of film industry practices. However, like the cinema itself, visualization carries its own spatial and temporal dimension. This article explores some of the benefits and limitations that derive from the use of spatial visualization technologies in the field of cinema studies. In particular, this research presents a new holistic multivariate approach to spatio-temporal visualization for point based historical data. This method has been developed through extending the spatial presence in timeline graphics and through meaningful spatial classification and representation.
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Wu, X., A. Poorthuis, R. Zurita-Milla, and M. J. Kraak. "A WEB-BASED INTERACTIVE PLATFORM FOR CO-CLUSTERING SPATIO-TEMPORAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 175–79. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-175-2017.
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Since current studies on clustering analysis mainly focus on exploring spatial or temporal patterns separately, a co-clustering algorithm is utilized in this study to enable the concurrent analysis of spatio-temporal patterns. To allow users to adopt and adapt the algorithm for their own analysis, it is integrated within the server side of an interactive web-based platform. The client side of the platform, running within any modern browser, is a graphical user interface (GUI) with multiple linked visualizations that facilitates the understanding, exploration and interpretation of the raw dataset and co-clustering results. Users can also upload their own datasets and adjust clustering parameters within the platform. To illustrate the use of this platform, an annual temperature dataset from 28 weather stations over 20 years in the Netherlands is used. After the dataset is loaded, it is visualized in a set of linked visualizations: a geographical map, a timeline and a heatmap. This aids the user in understanding the nature of their dataset and the appropriate selection of co-clustering parameters. Once the dataset is processed by the co-clustering algorithm, the results are visualized in the small multiples, a heatmap and a timeline to provide various views for better understanding and also further interpretation. Since the visualization and analysis are integrated in a seamless platform, the user can explore different sets of co-clustering parameters and instantly view the results in order to do iterative, exploratory data analysis. As such, this interactive web-based platform allows users to analyze spatio-temporal data using the co-clustering method and also helps the understanding of the results using multiple linked visualizations.
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Zhu, Bingke, Hao Fan, Bingbing Xie, Ran Su, Chaofeng Zhou, and Jianping He. "Mapping the Scientific Research on Healthcare Workers’ Occupational Health: A Bibliometric and Social Network Analysis." International Journal of Environmental Research and Public Health 17, no. 8 (April 11, 2020): 2625. http://dx.doi.org/10.3390/ijerph17082625.
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In the last few years, the occupational health (OH) of healthcare workers (HCWs) has been shown increasing concern by both health departments and researchers. This study aims to provide academics with quantitative and qualitative analysis of healthcare workers’ occupational health (HCWs+OH) field in a joint way. Based on 402 papers published from 1992 to 2019, we adopted the approaches of bibliometric and social network analysis (SNA) to map and quantify publication years, research area distribution, international collaboration, keyword co-occurrence frequency, hierarchical clustering, highly cited articles and cluster timeline visualization. In view of the results, several hotspot clusters were identified, namely: physical injuries, workplace, mental health; occupational hazards and diseases, infectious factors; community health workers and occupational exposure. As for citations, we employed document co-citation analysis to detect trends and identify seven clusters, namely tuberculosis (TB), strength training, influenza, healthcare worker (HCW), occupational exposure, epidemiology and psychological. With the visualization of cluster timeline, we detected that the earliest research cluster was occupational exposure, then followed by epidemiology and psychological; however, TB, strength training and influenza appeared to gain more attention in recent years. These findings are presumed to offer researchers, public health practitioners a comprehensive understanding of HCWs+OH research.
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Sepkoski, David, and Marco Tamborini. "“An Image of Science”." Historical Studies in the Natural Sciences 48, no. 1 (February 1, 2018): 56–109. http://dx.doi.org/10.1525/hsns.2018.48.1.56.
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This paper traces the emergence of a new visual language for statistical paleontology in the early nineteenth century as part of a broader project to uncover a deep genealogy of modern practices in data visualization. In the first decades of the nineteenth century, natural historians had amassed large quantities of taxonomic data, but lacked quantitative and visual methods to produce and communicate knowledge derived from their data collections. As our “main witness” (in Ian Hacking’s sense), we call on the German paleontologist H. G. Bronn—one of the earliest proponents of a “data-driven” approach to statistical natural history—to highlight two unexpected sources of a transformative visual idiom introduced at the time: so-called spindle diagrams representing historical patterns in taxonomic diversity. The first source—which informed Bronn’s general statistical approach to fossil data—was the bureaucratic science of cameralism, in which Bronn was steeped as a student and professor at the University of Heidelberg. The second was an earlier tradition of historical visualization popularized by Joseph Priestley and others, which represented time—or the “timeline”—as measured graphical space on the horizontal axis of a chart. In combining the tabular statistical approach of Heidelberg cameralism and the historical timeline, Bronn contributed to the emergence of a powerful new visual language for producing and communicating aggregative statistical generalizations.
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Romanowski, Andrzej, Zbigniew Chaniecki, Aleksandra Koralczyk, Mikołaj Woźniak, Adam Nowak, Przemysław Kucharski, Tomasz Jaworski, Maja Malaya, Paweł Rózga, and Krzysztof Grudzień. "Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation." Sensors 20, no. 17 (August 25, 2020): 4793. http://dx.doi.org/10.3390/s20174793.
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This paper presents a novel approach to a complex process of electrical capacitance tomography (ECT) measurement data analysis. ECT is frequently employed for non-invasive monitoring of industrial process phenomena. Proposed methodology is based on the premeditated integration of the spatial and temporal relations inherent in the measurement records into the workflow of the analysis procedure. We propose a concept of interactive timeline that enables arranging data visualization according to the user’s current focus along the process of analysis. We evaluated the proposed method using a prototype system in a task-based user study conducted with a group of domain experts. The evaluation is based on gravitational silo flow measurement datasets. Proposed prototype system enables diverse data manipulation in a more natural way allowing the user to switch back and forth between space and time domains along the data analysis trail. Experiments with the prototype system showed that the accuracy and completion times have significantly improved in comparison to the performance measured in the baseline condition. Additionally, the participants reported decreased physical load with improved efficiency measured with NASA task load index. Finally, a short discussion coupled with directions for the future of interactive spatio-temporal ECT measurement data analysis conclude the paper.
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Piilonen, Leo, Zachary Duer, and George Glasson. "Belle2VR: An Interactive Virtual Reality Visualization of GEANT4 Event Histories." EPJ Web of Conferences 245 (2020): 08003. http://dx.doi.org/10.1051/epjconf/202024508003.
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Belle2VR is a novel interactive virtual reality visualization of the Belle II detector at KEK and the animation therein of GEANT4-simulated event histories. The user, wearing a VR headset, manipulates a gamepad or hand controller(s) to interact with and interrogate the detailed GEANT4 event history over time, to adjust the visibility and transparency of the particles and detector subsystems, to translate freely in 3D, to zoom in or out, and to control the event-history timeline. In this way, the user explores the world of subatomic physics via electron-positron collision events in the Belle II experiment at the SuperKEKB colliding-beam facility at KEK in Japan. Developed at Virginia Tech by an interdisciplinary team of researchers in physics, education, and virtual environments, the simulation is intended to be integrated into the undergraduate physics curriculum.
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НАУМЕНКО, Людмила, and Віталія МУНТЯН. "The novel visualization techniques of teaching Ukrainian literature in the secondary school." EUROPEAN HUMANITIES STUDIES: State and Society, no. 1 (April 14, 2020): 83–101. http://dx.doi.org/10.38014/ehs-ss.2020.1.07.
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The paper is devoted to the problem of making educational process in the secondary school more interesting, productive, and effective by means of using visualization techniques of different formats: visual paper images, electronic and Internet resources. The aim of the research is to determine and characterize the most user-friendly visualization techniques suitable for teaching literature in the secondary school. The major attention is paid to the ways of diversification of imagery representation of verbal and factual information at the lessons of the Ukrainian literature. The authors dwell on such visualization techniques as: interactive book, cloud of tags, book trailer, lap-book, timeline, scribing, and comics. Each visualization technique is considered from the following points of view: a) essence and content; b) opportunity to be created and used with the help of tablets, mobile phones, PowerPoint, other gadgets or computer-added appliances; c) ways of application in classroom study; d) influence on attention, intellect, and memory of students; e) capability to stimulate the student’s learning activity; f) advantages and disadvantages; g) availability of Internet services which can be helpful for student’s creative activity (project, teamwork or individual). The paper opens a perspective for detailed study of the content and a set of instruments of computer programs and Internet services on the visualization of verbal information for their further implementation at the lessons of the Ukrainian literature.
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Elmqvist, Niklas, and Philippas Tsigas. "Animated Visualization of Causal Relations Through Growing 2D Geometry." Information Visualization 3, no. 3 (July 1, 2004): 154–72. http://dx.doi.org/10.1057/palgrave.ivs.9500074.
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Causality visualization is an important tool for many scientific domains that involve complex interactions between multiple entities (examples include parallel and distributed systems in computer science). However, traditional visualization techniques such as Hasse diagrams are not well-suited to large system executions, and users often have difficulties answering even basic questions using them, or have to spend inordinate amounts of time to do so. In this paper, we present the Growing Squares and Growing Polygons methods, two sibling visualization techniques that were designed to solve this problem by providing efficient 2D causality visualization through the use of color, texture, and animation. Both techniques have abandoned the traditional linear timeline and instead map the time parameter to the size of geometrical primitives representing the processes; in the Growing Squares case, each process is a color-coded square that receives color influences from other process squares as messages reach it; in the Growing Polygons case, each process is instead an n-sided polygon consisting of triangular sectors showing color-coded influences from the other processes. We have performed user studies of both techniques, comparing them with Hasse diagrams, and they have been shown to be significantly more efficient than old techniques, both in terms of objective performance as well as the subjective opinion of the test subjects (the Growing Squares technique is, however, only significantly more efficient for small systems).
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Gannu, B., and K. S. Rajan. "DAV – DATA ANALYTICS AND VISUALIZATION SYSTEM FOR ROADS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 33–38. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-33-2020.
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Abstract. This paper proposes a system for monitoring of condition and surface of roads in developing countries like India. This system will be used by government agencies to monitor municipal activities like road laying and planning. The system utilizes a database created by geo-citizens or government workers as an input. The heavy machinery in existing systems is not an optimized solution to this problem. Some existing systems use GPS and accelerometer data for determining such artifacts. So, it is evident that there is a need for a system that generates robust, frequent and accountable geo-tagged data. We propose a new collaborative model for such a purpose by fusion of data from multiple sensors hosted on smart-phones of several active geo-citizens. The system focuses mainly on volunteered geographic information, in which users can use their respective smart-phones to collect the data required and upload it for further analysis. The server side of the system infuses this data into a PostGIS database and displays the road condition on a near real-time basis over a WebGIS. The strength of a good visualization in imparting insight to decision-makers is widely recognized. We advance the paper by assessing procured road data and displaying it in an easy to understand format. In addition to visualization, the WebGIS component also provides for timeline analysis of changes in road conditions, which may help in the improved management of road infrastructure.
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Gaizo, John Del, Alexander Alekseyenko, and Kenneth Catchpole. "4474 READ-TV: Research and Exploratory Analysis Driven Time-data Visualization." Journal of Clinical and Translational Science 4, s1 (June 2020): 51. http://dx.doi.org/10.1017/cts.2020.184.
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OBJECTIVES/GOALS: A web interface that allows for easy upload of CSV text data to time-based visualizationsImplementation of change points analysis to identify and display points where event rates increased or decreasedcustomizable plots where the user can change point shapes, color, etc.customizable and advanced filtering supportsupport for plot comparisons and exportsMETHODS/STUDY POPULATION: We used the R/Shiny framework to develop a web application for visualization of time stamped data. The Research and Exploratory Analysis Driven Time-data Visualization (READ-TV) application allows for user-friendly mining for longitudinal patterns in data. READ-TV is built specifically for FD analysis, but is easily adaptable to other clinical use cases, as we allow for the use of general metadata on events and cases.The building of a quantitative framework for event analysis starts with the application of homogeneous Poisson processes, which relate the times of occurrence of events in terms of an underlying rate. To understand the changes in this underlying rate, changepoint analysis is used to model the rate as a function of time using piecewise constant approximations. The changepoint analysis allows us to identify the specific periods of time where the rate of FD is increased relative to a baseline or a desired operating range. RESULTS/ANTICIPATED RESULTS: READ-TV application allows for import of time stamped event data from multiple cases. Event and case metadata are supported to facilitate filtering and mining of interesting subsets of data. Stem plots are used for visualization of selected event timelines in chosen cases. This visualization is accompanied with summary of the number and estimates of rates of occurrence of specific event types (e.g. types of FD). Change-point analysis is implemented using the ‘changepoint‘ R library. These analyses allow the users to quickly understand whether the rates of events (FD) is changing across the case timeline and where exactly these changes are occurring. DISCUSSION/SIGNIFICANCE OF IMPACT: We have demonstrated the READ-TV application to the team of the AHRQ-funded Human Factors and Systems Integration in High Technology Surgery (HF-SIgHTS) study. The ability to visualize and perform quantitative analysis of the study data was received with unanimous positive feedback and enthusiasm. We continue READ-TV development focusing on (1) increased user-friendliness using the HF-SIgHTS as our focus group, (2) increased functionality, and (3) use of more general localization terminology to allow for other applications.
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Yu, Shaobo, Lingda Wu, Xitao Zhang, Xiangli Meng, and Pengrui Cen. "SINDVis: User-Centered Dynamic Interactive Visualization System for Space Information Networks." Electronics 7, no. 11 (November 12, 2018): 316. http://dx.doi.org/10.3390/electronics7110316.
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As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support. In this paper, we design and implement a user-centered, dynamic, interactive visualization system (SINDVis), and aim to assist multi-class users to understand, build, develop, maintain, and manage the SIN. We introduce the concept and architecture of SIN, summarize the key technologies of dynamic visualization and visual analysis, and analyze the basic characteristics of three types of users. Combining the content above, we design the architecture of SINDVis from an input module, a core-processing module, an output module, and a user body. We also describe eight basic functions of the entity domain view (GeoView) and topology domain view (TopolView). Meanwhile, we analyze the implementation methods of the GeoView and TopolView, including an improved Force-Directed Algorithm (FDA) layout, Fusion of Animation and Timeline (FAT) visualization, and Panning and Zooming (P&Z) interactions. We analyze the experiment platforms and running environments of the GeoView and TopolView and realize the main contents of both views with a typical SIN. The results also verify the validity and feasibility of the theories and methods proposed. Finally, we discuss and analyze experimental results and the advantages and disadvantages of the SINDVis and look forward to future work. With the development of visualization and visual analysis technology, both application-driven and user-interaction features are gradually highlighted. We introduce the visualization technology into the field of SIN in order to provide new ideas for the basic theory and key technology research of SIN.
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Cornelio, Gemma San, and Antoni Roig. "Mixed methods on Instagram research: Methodological challenges in data analysis and visualization." Convergence: The International Journal of Research into New Media Technologies 26, no. 5-6 (August 3, 2020): 1125–43. http://dx.doi.org/10.1177/1354856520941613.
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In this article, we will present our insights on key methodological challenges emerged from the Selfiestories project, focused on selfies as personal narratives on Instagram. In this research, we approached the selfie practice in the context of user’s personal narratives (Georgakopoulou, 2016, From narrating the self to posting self(ies): A small stories approach to selfies. Open Linguistics 2(1): 300–317.) embedded in the everyday. We opted for a mixed methodology (Creswell and Creswell, 2017) resonating on the notion of remix (Markham, 2013, Remix cultures, remix methods: Reframing qualitative inquiry for social media contexts. In: Denzin N and Giardina M (eds) Global Dimensions of Qualitative Inquiry. pp. 63–81.), thus combining fieldwork and ethnographic techniques with quantitative data obtained through an Instagram data extractor. This approach proved to be challenging in the process of establishing a dialogue between data sets of different nature. At this stage, we considered visualization as a valuable technique for analysis and communication, particularly in those case studies where fieldwork and data extraction from Instagram were conducted simultaneously. Decisions made regarding visualization processes posed different challenges regarding the intermingling of qualitative and quantitative data and the layout of our results. After a contextualization of our research and methodology, we will analyze the challenges and limitations of visualizations in our research. Taking into account the time-based dimension of personal narratives in Instagram, emphasized in some of our case studies, such as events, we will document our own process in looking for the best possible ways to present a more balanced account of our synchronous qualitative and quantitative data. We will do so against the temporal background of the experience of the first day of the Primavera Sound 2016, where we conducted fieldwork while extracting data from Instagram. After carrying out different tests with alternative visualization tools and formats, we chose to work with timeline tools, particularly those who offered a narrative layout against the backdrop of experience time. In a research where time and synchrony play a pivotal role, we suggest that adding a temporal dimension in visualization could be a way of connecting both perspectives, thus allowing to present different sources and types of data together, while also expanding the role that storytelling can play in visualizing data.
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Bu, Dechao, Haitao Luo, Peipei Huo, Zhihao Wang, Shan Zhang, Zihao He, Yang Wu, et al. "KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis." Nucleic Acids Research 49, W1 (June 4, 2021): W317—W325. http://dx.doi.org/10.1093/nar/gkab447.
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Abstract Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class scoring), and PT (pathway topology) approaches are three generations of GSE methods along the timeline of development. Previous versions of KOBAS provided services based on just the ORA method. Here we presented version 3.0 of KOBAS, which is named KOBAS-i (short for KOBAS intelligent version). It introduced a novel machine learning-based method we published earlier, CGPS, which incorporates seven FCS tools and two PT tools into a single ensemble score and intelligently prioritizes the relevant biological pathways. In addition, KOBAS has expanded the downstream exploratory visualization for selecting and understanding the enriched results. The tool constructs a novel view of cirFunMap, which presents different enriched terms and their correlations in a landscape. Finally, based on the previous version's framework, KOBAS increased the number of supported species from 1327 to 5944. For an easier local run, it also provides a prebuilt Docker image that requires no installation, as a supplementary to the source code version. KOBAS can be freely accessed at http://kobas.cbi.pku.edu.cn, and a mirror site is available at http://bioinfo.org/kobas.
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Cui, Zhe, Sriram Karthik Badam, M. Adil Yalçin, and Niklas Elmqvist. "DataSite: Proactive visual data exploration with computation of insight-based recommendations." Information Visualization 18, no. 2 (October 24, 2018): 251–67. http://dx.doi.org/10.1177/1473871618806555.
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Effective data analysis ideally requires the analyst to have high expertise as well as high knowledge of the data. Even with such familiarity, manually pursuing all potential hypotheses and exploring all possible views is impractical. We present DataSite, a proactive visual analytics system where the burden of selecting and executing appropriate computations is shared by an automatic server-side computation engine. Salient features identified by these automatic background processes are surfaced as notifications in a feed timeline. DataSite effectively turns data analysis into a conversation between analyst and computer, thereby reducing the cognitive load and domain knowledge requirements. We validate the system with a user study comparing it to a recent visualization recommendation system, yielding significant improvement, particularly for complex analyses that existing analytics systems do not support well.
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Williams, W., and D. Lyalin. "Modeling Cancer Registration Processes with an Enhanced Activity Diagram." Methods of Information in Medicine 44, no. 01 (2005): 11–13. http://dx.doi.org/10.1055/s-0038-1633917.
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Summary Objectives: Adequate instruments are needed to reflect the complexity of routine cancer registry operations properly in a business model. The activity diagram is a key instrument of the Unified Modeling Language (UML) for the modeling of business processes. The authors aim to improve descriptions of processes in cancer registration, as well as in other public health domains, through the enhancements of an activity diagram notation within the standard semantics of UML. Methods: The authors introduced the practical approach to enhance a conventional UML activity diagram, complementing it with the following business process concepts: timeline, duration for individual activities, responsibilities for individual activities within swimlanes, and descriptive text. Results: The authors used an enhanced activity diagram for modeling surveillance processes in the cancer registration domain. Specific example illustrates the use of an enhanced activity diagram to visualize a process of linking cancer registry records with external mortality files. Conclusions: Enhanced activity diagram allows for the addition of more business concepts to a single diagram and can improve descriptions of processes in cancer registration, as well as in other domains. Additional features of an enhanced activity diagram allow to advance the visualization of cancer registration processes. That, in turn, promotes the clarification of issues related to the process timeline, responsibilities for particular operations, and collaborations among process participants. Our first experiences in a cancer registry best practices development workshop setting support the usefulness of such an approach.
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Nuzzi, F., C. Magness, and D. Rockwell. "Three-dimensional vortex formation from an oscillating, non-uniform cylinder." Journal of Fluid Mechanics 238 (May 1992): 31–54. http://dx.doi.org/10.1017/s0022112092001629.
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A cylinder having mild variations in diameter along its span is subjected to controlled excitation at frequencies above and below the inherent shedding frequency from the corresponding two-dimensional cylinder. The response of the near wake is characterized in terms of timeline visualization and velocity traces, spectra, and phase plane representations. It is possible to generate several types of vortex formation, depending upon the excitation frequency. Globally locked-in, three-dimensional vortex formation can occur along the entire span of the flow. Regions of locally locked-in and period-doubled vortex formation can exist along different portions of the span provided the excitation frequency is properly tuned. Unlike the classical subharmonic instability in free shear flows, the occurrence of period-doubled vortex formation does not involve vortex coalescence; instead, the flow structure alternates between two different states.
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Kashtanova, Tatiana, Andrew Keller, and Naren Ramakrishna. "NCOG-08. A COMPARISON OF RESPONSE-ASSESSMENT AND DATA VISUALIZATION METHODS FOR CHARACTERIZATION OF TIME-DEPENDENT OUTCOMES FOLLOWING RADIOSURGERY (SRS) FOR BRAIN METASTASES." Neuro-Oncology 22, Supplement_2 (November 2020): ii130—ii131. http://dx.doi.org/10.1093/neuonc/noaa215.547.
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Abstract PURPOSE We compared multiple response assessment and visualization techniques for characterization of post-SRS treatment outcomes in a cohort of breast cancer patients with long median follow-up. METHODS A retrospective IRB-approved review was completed of 75 breast cancer patients treated with SRS for 271 brain metastases with median follow up of 40 months. Tumor dimensions, brain failure events, corticosteroid use, and clinical status were analyzed utilizing RANO-BM, bidimensional product (BDP), and bidimensional sum (BDS) techniques. 46/75 patients were eligible for RANO-BM assessment. Response at each post-treatment assessment were scored as PD, SD, PR, or CR, and the concordance between techniques was determined. A scoring system-based outcome metric labelled ‘average state’ was derived to estimate fractional time/response state by each assessment method. Interactive timeline displays of outcome states were generated. RESULTS The concordance of patient response states was determined using either RANO-BM, BDP or BDS among the 46 eligible patients. The overall mean and median concordance between techniques were 0.82 and 0.83, (range 0.52 – 1). The average state for the patient population post-treatment was 1.98 by RANO-BM, 2.29 by BDP, and 2.19 by BDS. For patients excluded from RANO-BM secondary to lack of measurable disease, the average state was determined to be 2.44 by BDP and 2.35 by BDS. The average state for HER2+ vs. HER2- patients was 2.21 vs. 1.75 by RANO-BM, 2.58 vs. 2 by BDP, and 2.39 vs. 1.99 by BDS. An interactive timeline view was generated to display outcome states utilizing the 3 response assessment techniques, and the impact of inclusion of non-target lesions and variable response parameters was assessed graphically. CONCLUSIONS These results characterize the concordance and the limitations of multiple outcome assessment methodologies in a post-SRS cohort with long median follow-up. The utility of a novel ‘average state’ outcome metric is demonstrated in this cohort.
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Wang, Yan-Qiu, Yi-Bing Chen, Dong Xu, and Yuan-Lu Cui. "Bibliometrics and Visualization of the Mechanisms of Parkinson's Diseases Based on Animal Models." Endocrine, Metabolic & Immune Disorders - Drug Targets 20, no. 10 (December 2, 2020): 1560–68. http://dx.doi.org/10.2174/1871530320666200421103429.
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Objective: Energy metabolism disorder is one of the causes of Parkinson's disease (PD). Rodents, such as rats and mice are often used to establish animal models of PD. This paper used a bibliometric method to analyze the studies of rat and mouse PD models published between 2009 and 2018 in the Web of Science (WOS) database using CiteSpace V software. In addition, we conducted a literature review on the development status and research hotspots in this field in the past ten years. Methods: The related articles on rat and mouse PD models were retrieved from the WOS database, and an analysis of the keywords in these articles was conducted using CiteSpace V. A timeline graph was developed by the software in order to show the focus of researchers in the PD field. Results : A total of 8,636 articles were obtained. Results of the cluster analysis in the PD field such as neuroinflammation, oxidative stress, and autophagy, contributed to the systematic review about the pathogenesis of PD. At the same time, based on the property of the model drug, this review has summarized and compared different administration techniques and mechanisms of 6-hydroxydopamine (6- OHDA), 1-methyl-4-phenyl-1, 2, 4, 5-tetrahydropyridine (MPTP), paraquat and rotenone. Conclusion: According to the bibliometric analysis, studies on PD were focused on the mechanisms of oxidative stress, neuroinflammation, and autophagy. Activated microglia releases inflammatory cytokines; mitochondrial dysfunction is caused by oxidative damage of mitochondrial protein; abnormal autophagy-lysosome pathway can lead to abnormal protein deposition in dopaminergic neurons. In addition, although many animal models of PD have been established, there are some limitations of such models. Therefore, it is necessary to develop models that accurately mimic human PD.
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Thayer, Jeritt G., Daria F. Ferro, Jeffrey M. Miller, Dean Karavite, Robert W. Grundmeier, Levon Utidjian, and Joseph J. Zorc. "Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources." Journal of the American Medical Informatics Association 28, no. 7 (March 3, 2021): 1401–10. http://dx.doi.org/10.1093/jamia/ocab016.
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Abstract Objective Develop and evaluate an interactive information visualization embedded within the electronic health record (EHR) by following human-centered design (HCD) processes and leveraging modern health information exchange standards. Materials and Methods We applied an HCD process to develop a Fast Healthcare Interoperability Resources (FHIR) application that displays a patient’s asthma history to clinicians in a pediatric emergency department. We performed a preimplementation comparative system evaluation to measure time on task, number of screens, information retrieval accuracy, cognitive load, user satisfaction, and perceived utility and usefulness. Application usage and system functionality were assessed using application logs and a postimplementation survey of end users. Results Usability testing of the Asthma Timeline Application demonstrated a statistically significant reduction in time on task (P < .001), number of screens (P < .001), and cognitive load (P < .001) for clinicians when compared to base EHR functionality. Postimplementation evaluation demonstrated reliable functionality and high user satisfaction. Discussion Following HCD processes to develop an application in the context of clinical operations/quality improvement is feasible. Our work also highlights the potential benefits and challenges associated with using internationally recognized data exchange standards as currently implemented. Conclusion Compared to standard EHR functionality, our visualization increased clinician efficiency when reviewing the charts of pediatric asthma patients. Application development efforts in an operational context should leverage existing health information exchange standards, such as FHIR, and evidence-based mixed methods approaches.
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Li, Bo, Zeshui Xu, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė, and Zenonas Turskis. "A Bibliometric Analysis of Symmetry (2009–2019)." Symmetry 12, no. 8 (August 5, 2020): 1304. http://dx.doi.org/10.3390/sym12081304.
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Symmetry is an international journal in the research fields of physics, chemistry, biology, mathematics, computer science, theory and methods, and other scientific disciplines and engineering. The first paper was published in 2009. Here, we make a bibliometric analysis of publications in Symmetry from 2009 to 2019. According to Web of Science (WoS), we obtained 3215 publications in this journal. First, we explore the publications, citation number, and citation structure based on bibliometric indicators. Second, we analyze the most influential objects, including countries/regions, institutions, authors, and papers. Cooperation networks are also presented. Next, the co-citation and burst detection analyses are conducted according to the techniques of visualization tools, i.e., VOSviewer and CiteSpace. Furthermore, the co-occurrence analyses and timeline view analyses of keywords are investigated, aiming to explore the research hotspots. Finally, this paper provides relatively thorough perspectives and reviews and discloses the future development trend of this journal and challenges for scholars, which will promote the development of the journal and in-depth research of scholars.
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Chen and Leandro. "A Conceptual Time-Varying Flood Resilience Index for Urban Areas: Munich City." Water 11, no. 4 (April 19, 2019): 830. http://dx.doi.org/10.3390/w11040830.
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In response to the increased frequency and severity of urban flooding events, flood management strategies are moving away from flood proofing towards flood resilience. The term ‘flood resilience’ has been applied with different definitions. In this paper, it is referred to as the capacity to withstand adverse effects following flooding events and the ability to quickly recover to the original system performance before the event. This paper introduces a novel time-varying Flood Resilience Index (FRI) to quantify the resilience level of households. The introduced FRI includes: a) Physical indicators from inundation modelling for considering the adverse effects during flooding events, and b) social and economic indicators for estimating the recovery capacity of the district in returning to the original performance level. The district of Maxvorstadt in Munich city is used for demonstrating the FRI. The time-varying FRI provides a novel insight into indicator-based quantification methods of flood resilience for households in urban areas. It enables a timeline visualization of how a system responds during and after a flooding event.
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Hong, J.-H., and C.-Y. Tsai. "USING 3D WEBGIS TO SUPPORT THE DISASTER SIMULATION, MANAGEMENT AND ANALYSIS – EXAMPLES OF TSUNAMI AND FLOOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-3/W1-2020 (November 18, 2020): 43–50. http://dx.doi.org/10.5194/isprs-archives-xliv-3-w1-2020-43-2020.
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Abstract. In recent year, 3D geographic information system (GIS) has been receiving great attention from a variety of domains, but many 3D GIS applications are nevertheless restricted to visualization purposes only. One major reason for such limitation is the lack of formalized and comprehensive mechanism for the management and analysis of feature-based 3D geographic data. From a 3D GIS perspective, this study proposes a web-based system facilitating the simulation, analysis and visualization of disaster caused by tsunami and floods because these two types of hazard are highly related to the height and depth aspects. The core of the proposed system is the hierarchical 3D building framework capable of modelling different levels of building units and linking domain data via standardized identifiers in an integrated fashion. The system is designed as a decision support system that allows users to import real or simulated disaster scenarios and automatically response with the visualized damage assessment information. The 3D illustration not only provides a direct and intuitive interface for decision makers to visually inspect the outcomes at different levels of granularity, the symbology of 3D buildings can be also flexibly customized to highlight the impacts according to the perspective of the chosen applications. Quantitative vulnerability indexes are dynamically updated according to the timeline of the imported disasters to aid the decision of emergency response actions. The evacuation plan also can additionally consider the 3D aspects, such that citizens will be provided with information about nearby safe places (e.g., tall buildings or high hills) to reduce the loss of lives.
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Hong, Rui, Chenglang Xiang, Hui Liu, Adam Glowacz, and Wei Pan. "Visualizing the Knowledge Structure and Research Evolution of Infrared Detection Technology Studies." Information 10, no. 7 (July 1, 2019): 227. http://dx.doi.org/10.3390/info10070227.
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This paper aims to explore the current status, research trends and hotspots related to the field of infrared detection technology through bibliometric analysis and visualization techniques based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles published between 1990 and 2018 using the VOSviewer and Citespace software tools. Based on our analysis, we first present the spatiotemporal distribution of the literature related to infrared detection technology, including annual publications, origin country/region, main research organization, and source publications. Then, we report the main subject categories involved in infrared detection technology. Furthermore, we adopt literature cocitation, author cocitation, keyword co-occurrence and timeline visualization analyses to visually explore the research fronts and trends, and present the evolution of infrared detection technology research. The results show that China, the USA and Italy are the three most active countries in infrared detection technology research and that the Centre National de la Recherche Scientifique has the largest number of publications among related organizations. The most prominent research hotspots in the past five years are vibration thermal imaging, pulse thermal imaging, photonic crystals, skin temperature, remote sensing technology, and detection of delamination defects in concrete. The trend of future research on infrared detection technology is from qualitative to quantitative research development, engineering application research and infrared detection technology combined with other detection techniques. The proposed approach based on the scientific knowledge graph analysis can be used to establish reference information and a research basis for application and development of methods in the domain of infrared detection technology studies.
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Hirsch, Jamie S., Jessica S. Tanenbaum, Sharon Lipsky Gorman, Connie Liu, Eric Schmitz, Dritan Hashorva, Artem Ervits, David Vawdrey, Marc Sturm, and Noémie Elhadad. "HARVEST, a longitudinal patient record summarizer." Journal of the American Medical Informatics Association 22, no. 2 (October 28, 2014): 263–74. http://dx.doi.org/10.1136/amiajnl-2014-002945.
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Abstract Objective To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements. Materials and methods HARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. Using scalable, distributed natural language processing and problem salience computation, the system extracts content from the patient notes and aggregates and presents information from multiple care settings. Clinical usability was assessed with physician participants using a timed, task-based chart review and questionnaire, with performance differences recorded between conditions (standard data review system and HARVEST). Results HARVEST displays patient information longitudinally using a timeline, a problem cloud as extracted from notes, and focused access to clinical documentation. Despite lack of familiarity with HARVEST, when using a task-based evaluation, performance and time-to-task completion was maintained in patient review scenarios using HARVEST alone or the standard clinical information system at our institution. Subjects reported very high satisfaction with HARVEST and interest in using the system in their daily practice. Discussion HARVEST is available for wide deployment at our institution. Evaluation provided informative feedback and directions for future improvements. Conclusions HARVEST was designed to address the unmet need for clinicians at the point of care, facilitating review of essential patient information. The deployment of HARVEST in our institution allows us to study patient record summarization as an informatics intervention in a real-world setting. It also provides an opportunity to learn how clinicians use the summarizer, enabling informed interface and content iteration and optimization to improve patient care.
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Khundam, Chaowanan. "Storytelling Platform for Interactive Digital Content in Virtual Museum." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 1 (December 29, 2020): 34–49. http://dx.doi.org/10.37936/ecti-cit.2021151.239948.
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Virtual Reality (VR) generates realistic visualization and sensation applied to various practises. Virtual Museum (VM) is a use case where VR may be applied to convince museum visitors to participate with a story told through digital content. Recently, immersive VR technologies are intensively developed providing a lot of devices which support interactive VM application. In a development of interactive VM, interaction is always depending on the selected device. Then content is tuned to fit specific device capacity; major development must be addressed again whenever the virtual environment is adapted to a new device. This paper proposed a storytelling platform to assist interactive content design which is device independent. Our framework provides high-level abstraction of story and interaction which is then translated to any low-level device. Storytelling model and interaction model are introduced to create a common language for story making. It works with a viewer, an asset manager, an event editor and a timeline to achieve virtual environments organization and interaction assignment. An example of interactive content design on our platform is presented to demonstrate the development process which can be applied to collaborative interactive content designing in the future work.
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Lee, Der-Horng, and Sreyus Palliyani. "Sustainable transport policy - An evaluation of Singapore's past, present and future." Journal of Infrastructure, Policy and Development 1, no. 1 (March 8, 2017): 112. http://dx.doi.org/10.24294/jipd.v1i1.23.
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The whole world is in a fuel crisis nearly approaching exhaustion, with climate change knocking at our doorsteps. In the fight against global warming, one of the principle components that demands technocratic attention is Transportation, not just as a significant contributor to atmospheric emissions but from a much broader perspective of environmental sustainability. From the traditional technocratic aspect of transport planning, our epiphany comes in the form of Land Use integrated sustainable transport policy in which Singapore has been a pioneer, and has led the way for both developed and developing nations in terms of mobility management. We intend to investigate Singapore’s Transport policy timeline delving into the past, present and future, with a case by case analysis for varying dimensions in the present scenario through selective benchmarking against contemporary cities like Hong Kong, London and New York. The discussions will include themes of modal split, land use policy, vehicular ownership, emission policy, parking policy, safety and road traffic management to name a few. A visualization of Singapore’s future in transportation particularly from the perspective of automated vehicles in conjunction with last mile solutions is also detailed.
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Yang, Yang, and Xiangyu Zhu. "Status and Trend of Research on the Funding and Management of Basic Research in China: An Analysis Based on Knowledge Maps of Core Journal Database of China National Knowledge Infrastructure in 1992-2019." International Journal of Emerging Technologies in Learning (iJET) 16, no. 06 (March 30, 2021): 201. http://dx.doi.org/10.3991/ijet.v16i06.21095.
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This paper aims to clarify the current status, hotspots, historical evolution and development trend of the research on funding and management of basic research in China. Firstly, 736 relevant papers indexed during 1992-2019 in the core journal database of China National Knowledge Infrastructure (CNKI) were analyzed in details. Using the information visualization software CiteSpaceV5.6.R3, the institutional cooperation co-occurrence map, author cooperation co-occurrence map, keyword co-occurrence map, and keyword timeline view maps were plotted through content mining. The results show that: the research institutions in the research field of basic research funding and management have formed three core cooperation networks, and the institutions in Beijing attract the most attention; most of the prolific and active authors choose teamwork over independent research; the research topics mainly fall into four aspects of basic research: input, subjects, results, and talents; the research hotspots are in line with policies and demands, and evolve through three stages: exploration and gradual progress, adjustment and development, and expansion and acceleration. The research results open up a new direction for relevant studies, and provide a reference for innovative parties to implement basic research.
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Luttrell, Charles J. "629 Acute Kidney Injury, Burn Resuscitation, and a Novel, Visualization Approach to Resuscitation Review." Journal of Burn Care & Research 42, Supplement_1 (April 1, 2021): S170—S171. http://dx.doi.org/10.1093/jbcr/irab032.279.
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Abstract Introduction A review of patients who sustained 20% or greater TBSA burns (n = 33) found 58% of the sample to have a stage 1 (n = 5), 2 (n = 4), or 3 (n = 10) acute kidney injury (AKI). Of those who sustained an AKI, 63% did not survive their injuries. An inquiry into the current, resuscitation protocols used at this facility was subsequently conducted. Protocol dictated the Parkland Formula/method as the standard of care for resuscitation needs of the sample. While information for net-totals of inputs and outputs (I&O) and hourly I&O values was easily obtainable, presenting these numbers in table-form was both cumbersome to create and difficult to quickly convey to both clinical and non-clinical staff. Thus, a visual approach was chosen to better understand how each patient was resuscitated in the first 24-hours of burn injury. Methods The software package R (R Core Team, 2020) was used to clean/analyze data, as well as create a graphical illustration of the data via an interactive dashboard using these variables: urine output (UOP); nurse charting of I&Os; fluid orders by provider; pre-hospital fluids; lab values; and vital signs. Using this software an interactive dashboard was created to allow users to interact with the graphs and visualize not only the numerical values associated with resuscitation, but to also see how each of these numbers relate to one another in an hourly timeline (e.g., reducing fluids by half is followed by a decrease in UOP). Results A trend of over-resuscitation in the first 24-hours of burn injury, as compared to the calculated requirements based on the Parkland Formula was observed. Also, irregularities of hourly administration of fluids (e.g., frequent/over blousing) and inadequate hourly charting were observed. Conclusions While this method for assessing resuscitation is a new approach at this facility, the ability to visually recount the resuscitation efforts of each patient has opened the conversation about best practices. Also, more disciplines can participate in the resuscitation efforts due to the ease with which the presented information can be disseminated and explained to both seasoned and novice staff. This has allowed for more stakeholders to participate in the burn program. Finally, further uses and applications of interactive dashboards are being explored for other aspects of burn care management.
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Bakri, M., Norhaslinda Kamaruddin, M. Hamiz, P. Marlia, A. H. S. Nurhasmiza, A. B. Shahirah, Z. Othman, et al. "Insights extraction on cross-cultural interaction through astronomy online labs using data analytics." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (October 1, 2019): 508. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp508-515.
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<span lang="EN-GB">Dialogical inquiry on astrology offers the participants to gain not only the intellectual and technological knowledge on the subject matter but also the social benefit of the interaction. Different cultures and values may pose as a challenge for adaptation when the participants start to collaborate in order to complete the group work. Hence, multiple sessions of cross-cultural interaction through Astronomy Online Labs had been conducted to give the participants a standardized platform to discuss and communicate. However, it is imperative to observe the content and frequency of the interaction to ensure both parties (Local and Non-local) benefited from such interaction. The interaction had been recorded and analysed to give us some insights for the improvement of the future participants’ engagement. The visualization techniques such as word cloud, word forest, timeline as well as Venn diagram approaches had been used and it is observed that the participants are actively communicating with the Non-local slightly dominating the session. It is hoped that the analysis tool can be embedded in the platform that it can provide dynamic analysis on the go while interaction happens so the moderator can steer the interaction to the intended topic</span><span>.</span>
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Huang, Xin, Jin Bai, Xu Liu, Zhaosong Meng, Yuli Shang, Tiejun Jiao, Gang Chen, and Jiayin Deng. "Scientometric Analysis of Dental Implant Research over the Past 10 Years and Future Research Trends." BioMed Research International 2021 (April 13, 2021): 1–13. http://dx.doi.org/10.1155/2021/6634055.
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Background. We conducted a bibliometrics analysis to explore the recent trends in dental implant research which could help researchers have a clear grasp of the relevant research hotspots and prospects. Material and Methods. Altogether, 15,770 articles on dental implants, from January 1, 2010, to October 31, 2019, were selected from the Web of Science Core Collection. We used BICOMB software to extract the high-frequency MeSH terms and construct binary and coword matrices. gCLUTO software was used for biclustering and visual analysis, Ucinet 6 software for social network analysis, SCIMAT software for strategic diagram building, Citespace 5.5 software to form timeline visualization, and VOSviewer software, eventually, for bibliometrics cocitation network. Results. Altogether, 72 high-frequency keywords were extracted from the selected articles and 4 clusters and 7 subcategories were identified through biclustering analysis in the dental implant research field. The use of the strategic diagram also enabled us to find the research hotspot and development trends. Conclusions. The survival rate of dental implants and subsequent restoration have always been the core focus of research. Sinus floor elevation and guided bone regeneration are worthy of constant exploration owing to their reliability. With continuous improvement in technology, immediate loading could become a future research hot spot.
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Bell, Lauren, Claire Garnett, Tianchen Qian, Olga Perski, Elizabeth Williamson, and Henry WW Potts. "Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study." Journal of Medical Internet Research 22, no. 12 (December 11, 2020): e23369. http://dx.doi.org/10.2196/23369.
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Background Behavior change apps can develop iteratively, where the app evolves into a complex, dynamic, or personalized intervention through cycles of research, development, and implementation. Understanding how existing users engage with an app (eg, frequency, amount, depth, and duration of use) can help guide further incremental improvements. We aim to explore how simple visualizations can provide a good understanding of temporal patterns of engagement, as usage data are often longitudinal and rich. Objective This study aims to visualize behavioral engagement with Drink Less, a behavior change app to help reduce hazardous and harmful alcohol consumption in the general adult population of the United Kingdom. Methods We explored behavioral engagement among 19,233 existing users of Drink Less. Users were included in the sample if they were from the United Kingdom; were 18 years or older; were interested in reducing their alcohol consumption; had a baseline Alcohol Use Disorders Identification Test score of 8 or above, indicative of excessive drinking; and had downloaded the app between May 17, 2017, and January 22, 2019 (615 days). Measures of when sessions begin, length of sessions, time to disengagement, and patterns of use were visualized with heat maps, timeline plots, k-modes clustering analyses, and Kaplan-Meier plots. Results The daily 11 AM notification is strongly associated with a change in engagement in the following hour; reduction in behavioral engagement over time, with 50.00% (9617/19,233) of users disengaging (defined as no use for 7 or more consecutive days) 22 days after download; identification of 3 distinct trajectories of use, namely engagers (4651/19,233, 24.18% of users), slow disengagers (3679/19,233, 19.13% of users), and fast disengagers (10,903/19,233, 56.68% of users); and limited depth of engagement with 85.076% (7,095,348/8,340,005) of screen views occurring within the Self-monitoring and Feedback module. In addition, a peak of both frequency and amount of time spent per session was observed in the evenings. Conclusions Visualizations play an important role in understanding engagement with behavior change apps. Here, we discuss how simple visualizations helped identify important patterns of engagement with Drink Less. Our visualizations of behavioral engagement suggest that the daily notification substantially impacts engagement. Furthermore, the visualizations suggest that a fixed notification policy can be effective for maintaining engagement for some users but ineffective for others. We conclude that optimizing the notification policy to target both effectiveness and engagement is a worthwhile investment. Our future goal is to both understand the causal effect of the notification on engagement and further optimize the notification policy within Drink Less by tailoring to contextual circumstances of individuals over time. Such tailoring will be informed from the findings of our micro-randomized trial (MRT), and these visualizations were useful in both gaining a better understanding of engagement and designing the MRT.
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Li, Yang, Zeshui Xu, Xinxin Wang, and Florin Gheorghe Filip. "Studies in Informatics and Control: A Bibliometric Analysis from 2008 to 2019." International Journal of Computers Communications & Control 14, no. 6 (November 27, 2019): 633–52. http://dx.doi.org/10.15837/ijccc.2019.6.3753.
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As an international scientific journal, Studies in Informatics and Control (SIC ) covers the field of Information Technology (IT) and topics related to research areas, as well as important applications in IT, with particular emphasis on Advanced Automatic Control, Modeling and Optimization. SIC has greatly contributed to the areas where it involves since its first online publication way back in 1992. This paper sets out to analyze the structure and the underlying trend of the journal by making use of bibliometric methods. Firstly, the classical indicators are provided to illustrate the performance of the journal. This current study performs an in-depth analysis of the most productive and the most influential authors, institutions, and countries/regions, as well as the most cited research works published in SIC. Secondly, the visualization tools VoS viewer and CiteSpace are used to create scientific maps that may explain the structure of the journal in an intuitionistic way. In the science mapping, the co-citation maps, and the co-authorship networks of various items (such as authors, institutions, and countries/regions) are conducted. Also, the bursts detection of these items are derived. The co-occurrence of keywords and their bursts detection and timeline review are shown, respectively. Finally, some conclusions are given. This paper provides a comprehensive and visual understanding of this well-regarded scientific journal.
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Omena, Janna Joceli, and António Granado. "Call into the platform!" Revista ICONO14 Revista científica de Comunicación y Tecnologías emergentes 18, no. 1 (January 1, 2020): 89–122. http://dx.doi.org/10.7195/ri14.v18i1.1436.
Full textAbstract:
This paper introduces a medium research perspective as a fundamental basis for Social Sciences and Communication fieldwork. Drawing from the affordances of digital networks, it points to the importance of combining knowledge on platform grammatization with data research practices (capture, mining, analysis and visualization). That is what we refer to as call into the platform. Rather than shifting our attention away from the object of study to primarily focus on the technical fieldwork, we assume this latter as something that takes part in the doing of digital social sciences research. For this purpose, we present the case of Portuguese Universities on Facebook, which comprises all public universities in Portugal including one private. The study interrogates how digital networks serve communication and social sciences studies. To respond to this question, we explored two distinctive digital networks that shed light in the institutional connections and the visual culture of higher education in Portugal. The first, Facebook Page Like network, comprises all connections made by a given page; the act of liking other pages or being liked in return. The second is built upon the affordances of computer vision and depicts the connections between images and their descriptive labels: a network of Facebook Pages timeline images. Beyond providing new ways to design and implement research that can be repurposed for different studies, the main contribution of this paper lies in embracing the methods of the medium as key for digital social sciences.
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Ng, Michelle, Emily Borst, Ashley Garrity, Emily Hirschfeld, and Joyce Lee. "Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes." Journal of Diabetes Science and Technology 14, no. 5 (January 2, 2020): 854–59. http://dx.doi.org/10.1177/1932296819895537.
Full textAbstract:
Background: The Nightscout Project is a leading example of patient-designed, do-it-yourself (DIY), open-source technology innovations to support type 1 diabetes management. We are unaware of studies that have described the evolution of patient-driven innovations from the Nightscout Project to date. Methods: We identified patient-driven, DIY innovations from posts and comments in the “CGM in the Cloud” private Facebook group as well as data from Twitter, GitHub, and the Nightscout website. For each innovation, we described its intent or its unaddressed need as well as the associated features and improvements. We conducted a thematic analysis to identify overarching patterns among the innovations, features, and improvements, and compared the timeline of innovations in the DIY space with the timing of similar innovations in the commercial space. Results: We identified and categorized innovations in Nightscout with the most commonly appearing themes of: visualization improvements, equipment improvements, and user experience improvements. Other emerging themes included: Care Portal support, safety, remote monitoring, decision support, international support, artificial pancreas, pushover notifications, and open-source collaboration. Conclusions: This rapid development of patient-designed DIY innovations driven by unmet needs in the type 1 diabetes community reflects a revolutionary, bottom–up approach to medical innovation. Nightscout users accessed features earlier than if they had waited for commercial products, and they also personalized their tools and devices, empowering them to become the experts of their own care.
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Dallas-Orr, David, Yordan Penev, Robert Schultz, and Jesse Courtier. "Comparing Computed Tomography–Derived Augmented Reality Holograms to a Standard Picture Archiving and Communication Systems Viewer for Presurgical Planning: Feasibility Study." JMIR Perioperative Medicine 3, no. 2 (September 24, 2020): e18367. http://dx.doi.org/10.2196/18367.
Full textAbstract:
Background Picture archiving and communication systems (PACS) are ubiquitously used to store, share, and view radiological information for preoperative planning across surgical specialties. Although traditional PACS software has proven reliable in terms of display accuracy and ease of use, it remains limited by its inherent representation of medical imaging in 2 dimensions. Augmented reality (AR) systems present an exciting opportunity to complement traditional PACS capabilities. Objective This study aims to evaluate the technical feasibility of using a novel AR platform, with holograms derived from computed tomography (CT) imaging, as a supplement to traditional PACS for presurgical planning in complex surgical procedures. Methods Independent readers measured objects of predetermined, anthropomorphically correlated sizes using the circumference and angle tools of standard-of-care PACS software and a newly developed augmented reality presurgical planning system (ARPPS). Results Measurements taken with the standard PACS and the ARPPS showed no statistically significant differences. Bland-Altman analysis showed a mean difference of 0.08% (95% CI –4.20% to 4.36%) for measurements taken with PACS versus ARPPS’ circumference tools and –1.84% (95% CI –6.17% to 2.14%) for measurements with the systems’ angle tools. Lin’s concordance correlation coefficients were 1.00 and 0.98 for the circumference and angle measurements, respectively, indicating almost perfect strength of agreement between ARPPS and PACS. Intraclass correlation showed no statistically significant difference between the readers for either measurement tool on each system. Conclusions ARPPS can be an effective, accurate, and precise means of 3D visualization and measurement of CT-derived holograms in the presurgical care timeline.