Dynamic Visualization Method Research Articles

A hydrodynamic lake model coupled with a three‐dimensional dynamic visualization method

A hydrodynamic lake model coupled with a three‐dimensional dynamic visualization method

Situating Teacher Movement, Space, and Relationships to Pedagogy: A Visual Method and Framework

In conversations about pedagogy, researchers often overlook how physical space and movement shape teacher sensemaking. This article offers a comparative case study of classroom videos using a dynamic visual method to map embodied interaction called “interaction geography.” Our analysis proposes an integrative framework to study classroom interactions and teacher movement over space and time comprised of four salient characteristics within lessons: trails, landmarks, material routines, and circulation patterns. We discuss how this visual method and framework can be used and expanded by classroom researchers and teachers as a starting point to better understand teaching as a situative and spatial practice, a crucial step in characterizing responsive forms of instruction. This work has implications not only for teachers and teacher educators but also for architects, administrators, and researchers concerned with the physical design of classrooms.

Unveiling air pollution patterns in Yemen: a spatial-temporal functional data analysis.

The application of spatiotemporal functional analysis techniques in environmental pollution research remains limited. As a result, this paper suggests spatiotemporal functional data clustering and visualization tools for identifying temporal dynamic patterns and spatial dependence of multiple air pollutants. The study uses concentrations of four major pollutants, named particulate matter (PM2.5), ground-level ozone (O3), carbon monoxide (CO), and sulfur oxides (SO2), measured over 37 cities in Yemen from 1980 to 2022. The proposed tools include Fourier transformation, B-spline functions, and generalized-cross validation for data smoothing, as well as static and dynamic visualization methods. Innovatively, a functional mixture model was used to capture/identify the underlying/hidden dynamic patterns of spatiotemporal air pollutants concentration. According to the results, CO levels increased 25% from 1990 to 1996, peaking in the cities of Taiz, Sana'a, and Ibb before decreasing. Also, PM2.5 pollution reached a peak in 2018, increasing 30% with severe concentrations in Hodeidah, Marib, and Mocha. Moreover, O3 pollution fluctuated with peaks in 2014-2015, 2% increase and pollution rate of 265 Dobson. Besides, SO2 pollution rose from 1997 to 2010, reaching a peak before stabilizing. Thus, these findings provide insights into the structure of the spatiotemporal air pollutants cycle and can assist policymakers in identifying sources and suggesting measures to reduce them. As a result, the study's findings are promising and may guide future research on predicting multivariate air pollution statistics over the analyzed area.

Analysis of Wave Energy Behavior and Its Underlying Reasons in the Gulf of Mexico Based on Computer Animation and Energy Events Concept

The complexity and variability of ocean waves make wave energy harvesting very challenging. Previous research has indicated that wave energy was mainly generated and transferred by wind, but the detailed correlation between wind and wave energy has not been discovered. Wave energy in the Gulf of Mexico (GoM) has high variability with distinct seasonal behavior. However, the underlying reasons for this unique behavior have not been discussed and discovered yet. In this paper, a computer animation-based dynamic visualization method was created to conduct exploratory and explanatory analyses of 36 years of meteorological data in the GoM from the WaveWatch III system to identify preliminary patterns and underlying reasons for the unique behavior of wave energy in the GoM. These preliminary patterns and underlying reasons were further analyzed using Energy Events and Breaks concepts. During both high and low levels wave energy periods, the detailed correlation between wave energy and the wind was analyzed and determined. High level wave power in the GoM was mainly generated by the local inland wind from northern weather patterns, while low level wave power was mainly generated by swells from the Caribbean and the Atlantic oceans, which entered the GoM through the two narrow pathways, the Straits of Yucatan and the Florida Straits. The results from this paper will also be able to help the design, placement, and operation of future wave energy converters to improve their efficiency in harvesting wave energy in the GoM.

Study on the wetting behavior between oil droplets and kaolinite substrate based on interaction force measurement and high-speed dynamic visualization

The basic principle of static wetting has been studied in depth, but the dynamic wetting mechanism, especially partially wetting, is still not well understood. In this work, the high-speed dynamic visualization method was used to study the partially wetting dynamics behavior of a millimeter-scale oleic acid droplet (referred to as oil droplet here) on the kaolinite substrate. On the other hand, a macroscopic force measurement technology was adopted to measure directly the wetting force of oil droplet-kaolinite surface during the interaction between a millimeter-scale oil droplet and the kaolinite substrate. The former showed that the spreading process of an oil droplet on the surface of kaolinite could be divided into three sub-processes: the early linear rapid spreading process dominated by inertial force, the intermediate exponential slow spreading process dominated by viscous force, and the long-time spreading process tending to equilibrium state. The latter indicated that the oil droplet-kaolinite wetting force measured by the microbalance could be related to the change in the system free energy during the spreading of an oil droplet on the kaolinite substrate, and theoretical analysis suggested that the change of system free energy during the spreading of droplets on the solid surface could be estimated based on experimental measurable parameters, and the surface wettability was the dominant factor determining the wetting force at a given droplet. These findings can provide fundamental understanding regarding the partial wetting mechanism and provide guidance for studying the interaction between liquid droplets and solid surfaces from the perspective of interaction force.

An Advanced Dynamic Visualization Method of Global Ocean Tide with Multi-core Processor Based on OpenGL

Abstract. In terms of ocean tide visualization, to meet the requirement of both display range and operational efficiency, an advanced method is proposed, in which the tide height is rapidly computed with global tide model EOT10a, and dynamically displayed by OpenGL. Aiming at the large amounts of calculation of global tide height, the feature of multicore processor is integrated into the method. The experiment shows that, compared to a single-core processor, when using a 6-core processor, the speedup ratio is about 5.4, parallel efficiency reaches 90%, and 880 000 tide heights can be calculated per second. Eventually, the result would be output as a tide height graph by OpenGL. This method could be a useful tool for marine cartography due to the large display range and the high efficiency.

Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

In three-dimensional (3D) digital Earth environment, there are many problems when using the existing methods to express the ocean current, such as uneven distribution of seed points, density leap in scale change and messy visualization. In this paper, a new dynamic visualization method of multi-hierarchy flow field based on particle system is proposed; Specifically, three typical spherical uniform algorithms are studied and compared, and the streamline becoming denser from the equator to the poles on globe is eliminated by placing seed points using Marsaglia polar method as the most efficient. In addition, a viewport-adaptive adjustment algorithm is proposed, which realizes that the density of particles is always suitable to any viewing distance during continuous zooming. To solve the visual representation deficiency, we design a new dynamic pattern to enhance the expression and perception of current, which makes up for the shortcoming of the arrow glyph and streamline methods. Finally, a prototype of GPU parallel and viewport coherence is achieved, whose feasibility and effectiveness are verified by a series of experiments. The results show that our method can not only represent ocean current data clearly and efficiently, but also has outstanding uniformity and hierarchy effect.

Visualization Methods of 3D Plant Models: A Systematic Mapping Study

Three-dimensional plant model visualization (3D-PMV) is based on plant biology and the plant structure construction model for virtual simulation three-dimensional display, reflecting plant structure characteristics and demonstrating the growth process. In this work, we used the method of systematic mapping study (SMS) to screen the relevant literature in order to explore and analyze the methods and goals of virtual plant visualization research and to provide assistance in future literature reviews. To this end, we conducted extensive searches to identify articles related to plant model visualization technology. We searched for papers from July 2010 to November 2020 from four mainstream databases, namely, ACM, IEEE Xplore, EI, and Web of Science, and found more than 2,900 papers on 3D-PMV. Finally, we selected 60 qualified papers. We mainly followed the SMS method to classify papers by answering seven questions, mainly extracting data for analysis on research types, research goals, model construction methods, visual model categories, number of publications, tools, and methods. The results show that solution proposals account for the largest proportion of research types, accounting for 75% of the total number of papers. This shows that the focus is on the improvement of original methods or the proposal of new methods in this field; research goals of research plant phenotypic characteristics account for the total 35%; 28% of the research objectives focus on showing the reflection of plant growth process, indicating that the research objective trends in this research field regard plant phenotypic characteristics and visualization of the growth process; static type model visualization also accounts for 83% of the total, indicating that the related research on visualization in this field is mostly static typing. Therefore, our work not only analyzes the challenges faced by 3D-PVM and the research directions that need more attention in the future but also provides some suggestions for researchers to find suitable research directions in this field. As the future direction of development, researchers need to pay more attention to the study of dynamic visualization methods of plant growth. We believe that for future research, it is indispensable to provide 3D-PMV with research methods, research goals, visualization model types, development, and other tools. This article analyzes the results of the extracted data based on the SMS method and makes an important contribution to the researcher's extensive understanding of the current status of 3D-PMV and the potential future research opportunities in the field.

A Survey of Time Series Data Visualization Methods

In the era of big data, the general public is more likely to access big data, but they wouldn’t like to analyze the data. Therefore, the traditional data visualization with certain professionalism is not easy to be accepted by the general public living in the fast pace. Under this background, a new general visualization method for dynamic time series data emerges as the times require. Time series data visualization organizes abstract and hard-to-understand data into a form that is easily understood by the public. This method integrates data visualization into short videos, which is more in line with the way people get information in modern fast-paced lifestyles. The modular approach also facilitates public participation in production. This paper summarizes the dynamic visualization methods of time series data ranking, studies the relevant literature, shows its value and existing problems, and gives corresponding suggestions and future research prospects.

A 3D dynamic visualization method coupled with an urban drainage model

The urban drainage model is an important tool for the management and decision-making around an urban drainage network. Owing to urban drainage networks’ complex distribution, existing model analysis methods have gradually exposed problems of insufficient utilization of spatial information, weak coupling and analytical capacity of multi-source heterogeneous data, and poor human-computer interaction. By coupling an urban drainage model with 3D GIS technology and 3D visualization technology, this study presents a 3D dynamic visualization method of an urban drainage model (3DDVM-UDM). A case study from Chaohu, China, is used to demonstrate the method. The environmental information and distributions of pipe network objects in 3D space were presented. The urban drainage model can be edited and simulated in the 3D environment, and a 2D flooding simulation method was also established. Multiple model results were dynamically and simultaneously visualized in the pipe network entity models. By coupling and comparing the model results under different rainfall return periods, various information was intuitively analyzed, such as the water level and water quality differences of each pipe and node, and the spatial distribution differences of fully filled pipes, overflowed nodes and buildings influenced by node overflow. The operation state of a drainage pipe network can be systematically analyzed by intuitively combining with the attribute information of a pipe network, 3D spatial information and other relevant data. This study provides a feasible theory and method to assist in environmental management and decision-making, to facilitate communication between different fields, and to promote a shift in analysis from 2D to the combination of 2D and 3D.

A virtual globe-based three-dimensional dynamic visualization method for gas diffusion

Three-dimensional dynamic visualization of the long range gas diffusion contributes to disaster forecasting and assessment. Existing three-dimensional visualization methods, which calculate the gas concentration without considering the terrain and display the gas concentration in the local range by isosurfaces, cannot meet the demand for intensive calculation and dynamic visualization of gas diffusion over a wide range. This study proposes a virtual globe-based three-dimensional dynamic visualization method of the long range gas diffusion, consisting of a voxel-based multi-scale data model, a terrain-dependent multi-scale concentration field calculation method using graphics processing units (GPU), and a GPU-based multi-scale spherical ray-casting algorithm. The method is then applied to the long range natural gas diffusion and is evaluated according to the efficiency of the concentration calculation and dynamic visualization. The results show that the proposed method can achieve dynamic visualization of the long range gas diffusion above 30 frames per second.

Scapular dyskinesis was not associated with pain and function in male adolescent athletes

ABSTRACT BACKGROUND AND OBJECTIVES: Scapular dyskinesis has been associated to shoulder injuries and pain. However, this relationship with adolescent athletes is not well established. The objective of this study was to evaluate scapular dyskinesis in young athletes and its association with pain or shoulder function. METHODS: 178 male adolescent athletes (14.58±2.16 years) were evaluated. The subjects completed the Quick Disability Arm Shoulder Hand questionnaire. Body mass, height, shoulder internal rotation and Closed Kinetic Chain Upper Extremity Stability test were measured. A dynamic visual method was applied to assess dyskinesis. Binary logistic regression was applied to analyze the association between dyskinesis and other variables. The comparison between groups with and without dyskinesis was made by the Mann-Whitney andt-test, accepting a statistical significance of p<0.05. RESULTS: The dyskinesis prevalence was 56.7% and this condition was not associated with shoulder pain. Younger athletes are 159% more likely to have dyskinesis, while those who practice more than one hour a day for three times a week are 77% more likely to have the same outcome. No difference in shoulder function was found. CONCLUSION: Scapular dyskinesis is not associated with pain and does not affect shoulder function in adolescent athletes. Sports modality, age and training volume seem to induce changes in scapula movement.

Scapular dyskinesis was not associated with pain and function in male adolescent athletes

ABSTRACT BACKGROUND AND OBJECTIVES: Scapular dyskinesis has been associated to shoulder injuries and pain. However, this relationship with adolescent athletes is not well established. The objective of this study was to evaluate scapular dyskinesis in young athletes and its association with pain or shoulder function. METHODS: 178 male adolescent athletes (14.58±2.16 years) were evaluated. The subjects completed the Quick Disability Arm Shoulder Hand questionnaire. Body mass, height, shoulder internal rotation and Closed Kinetic Chain Upper Extremity Stability test were measured. A dynamic visual method was applied to assess dyskinesis. Binary logistic regression was applied to analyze the association between dyskinesis and other variables. The comparison between groups with and without dyskinesis was made by the Mann-Whitney andt-test, accepting a statistical significance of p<0.05. RESULTS: The dyskinesis prevalence was 56.7% and this condition was not associated with shoulder pain. Younger athletes are 159% more likely to have dyskinesis, while those who practice more than one hour a day for three times a week are 77% more likely to have the same outcome. No difference in shoulder function was found. CONCLUSION: Scapular dyskinesis is not associated with pain and does not affect shoulder function in adolescent athletes. Sports modality, age and training volume seem to induce changes in scapula movement.

Time-Space Variability Analysis for the Weekly Passenger Flow of the Seoul Subway System: Based on Dynamic Visualization Methods

Time-Space Variability Analysis for the Weekly Passenger Flow of the Seoul Subway System: Based on Dynamic Visualization Methods

Visualizing 3D Vector Fields Using Streamlines with Dynamic Glyphs

In flow visualization, the streamline has always been used to display the vector fields, but only using streamlines cannot reveal the nature of flowing intuitively. The dynamic glyphs technology is an important method to show flowing 3D vector fields. However, existing methods of dynamic glyphs are hard to convey the global patterns and local entities at the same time. In this paper, we present a practical method for dynamic visualization of 3D vector fields which combine dynamic glyphs and streamlines, which are rendered respectively according to the information of 3D vector fields. Our method integrates virtues of these two usual techniques, and provides high performance visualization of flowing 3D vector fields directly. Experiments with practical datasets certify that our method could not only depict the local and the global patterns, but more importantly reveal the dynamic nature of flowing 3D vector data.

Modelling, solubility and pKa of five sparingly soluble drugs

Drug solubility is an important aspect of drug development. The objective of this investigation was to measure solubilities of five drugs (cimetidine, phenylbutazone, fenbufen, nitrofurantoin, triamterene) at constant pH in range of temperature from 270 to 340K in three solvents: water, ethanol and 1-octanol with the dynamic-visual method and the saturation shake-flask method using spectrophotometric analysis. The Barton group contribution method was used for the calculations of molar volumes of solutes. The thermodynamic description of the solubility curves was made using the thermophysical properties obtained with the differential scanning microcalorimetry technique (DSC). The DSC measurements have shown different than existing in the literature enthalpies of melting for phenylbutazone and fenbufen. The experimental solubility data also differ from the literature data, normally measured at one, or two temperatures only. The solubility data have been correlated by means of three commonly known excess Gibbs energy, GE equations. The activity coefficients of drugs at saturated solutions were calculated from the experimental data. Reexamination of the pKa values using diluted solutions was made with the Bates–Schwarzenbach method for the pKa measurements. The association constants and corresponding pKa values of drugs were close to the most of the literature data. We hope that our new solubility data, thermophysical data, and pKa values will improve all prediction-methods and their precision.

V-DRASTIC: Using visualization to engage policymakers in groundwater vulnerability assessment

Summary Groundwater vulnerability mapping is increasingly being used to design aquifer protection and management strategies. This paper presents a dynamic visualization method to groundwater vulnerability mapping. This method—called V-DRASTIC—extends the capacities of DRASTIC, an overlay/index technique that has been applied worldwide to evaluate the condition of hydrogeological factors and determine groundwater vulnerability at regional scales. V-DRASTIC is based upon psychophysics’ principles (a theory that describes the people’s response to a stimulus) to generate alternative groundwater vulnerability categorization schemes. These are used as inputs in a fuzzy pattern recognition procedure to enable planners, decision makers and stakeholders identify which scheme conveys meaningful information regarding groundwater vulnerability across a territory. V-DRASTIC was applied in the groundwater vulnerability assessment of two urban watersheds in Mexico.

Interactive Visualization of Multivariate Statistical Data

This paper introduces web-based interactive Linked Micromap (LM) plots, a set of dynamic visualization methods that allows readers to interactively select variables and modify the different views to help reveal relationships among the study units. This methodology provided the foundation for web-based micromaps used by the National Cancer Institute (NCI). This illustrates the power of visualization to make statistical summaries involving health and risk factors for millions of people accessible to health planners than may have never had a statistics class. LM plots methodology is in use by the Department of Agriculture and readily extend to other application in other agencies in the United States. The interactive methods can be as useful in such extensions as they were for the National Cancer Institute

Imaging of T-cell interactions with antigen presenting cells in culture and in intact lymphoid tissue.

The development of an effective immune response requires cell-cell contact between T cells and antigen-bearing cells of several types (dendritic cells, B cells, infected tissue cells). Recent advances in light microscopy have led to intense investigation of the molecular events that accompany these cell interactions, especially the redistribution of membrane proteins into discrete organized subdomains within the zone of cell-cell contact termed the 'immunological synapse'. Here we discuss two aspects of our own studies in this area. First, we highlight results from our in vitro analysis of the role of the cytoskeletal ezrin, radixin, moesin adapter proteins in the exclusion of CD43 from the well-defined T cell receptor (TCR) and integrin-rich zones of the synapse. Based on the molecular mechanism uncovered in this work, we propose a new model for how TCR-signaled changes in cytoskeletal organization indirectly influence both protein distributions and the efficiency of signaling between T cell and presenting cell. We then discuss the development of a new method for dynamic visualization of T cell - dendritic cell interactions in intact lymphoid tissue. The remarkable longevity of monogamous lymphocyte-presenting cell interactions is discussed, differences between our observations and those of others are laid out in detail, and prospects for future application of this technical approach to analysis of early immune responses in lymphoid organs and of effector lymphocyte function in tissues are presented.

可視化加熱シリンダによるソリッドベッドのブレークアップ現象の解析 第２報 スクリュ供給部長さの影響

The solid bed (SB) break-up (BUP) phenomenon seen in the single-screw plastication system causes instability in the plasticating process, and clarification of the generation mechanism is required. In our previous reports, we proposed two kinds of BUP generation models by a dynamic visualization method using a glass-inserted visual heating cylinder. In this study, visual analyses of the plastication process with the standard screw and long feed screw were carried out, and the influence of screw feed-zone length on BUP phenomenon was clarified. The results are summarized below:1) The SB structure when BUP occurs was clarified by static visualization in cooling and screw extraction experiments, and the validity of the two BUP generation models was confirmed.2) The polyamide plastication process of the long feed screw was visualized, and it was clarified that BUP of SB occurs in the long feed zone. BUP was assumed to occur in the feed zone where the SB structure changed from the Tadmor type to the melt invading type.3) This generation process is considered different from the two BUP generation models proposed so far, and the following new model was presented:The invading type SB is pushed up to the cylinder wall by the pressure of the invaded melting layer between SB and the screw wall. This increases the shearing force between SB and the cylinder wall to generate a large tension in SB, resulting in BUP of SB.