Information visualization analysis on Advances in Psychological Science:1983-2014

Objective： To describe the revolution and research status of Advances in Psychological Science. Methods： A total of 3060 articles published in Advances in Psychological Science from 1983 to 2014 were analyzed with the information visualization method using Citespace software from the aspects of pub- lications, cited frequency and downloads, funding, organizations, authors and keywords. Results： The results showed that the amount of literature published annually had an upward tendency, and 49.4% of the papers were supported by national or provincial projects. Institutions such as the Chinese Academy of Sciences （CAS） and the normal universities were rated in the forefront of the sci- entific research output. Xiting Huang, Hong Li and Yuejia Luo were at the top of the list of prolific authors. Conclusions： A new pattern of cooperative development of the theory and application in the field of psychological research is forming.

Visualization Techniques in Electromagnetic Engineering

It briefly describes the techniques of Visualization in Scientific Computation (ViSC). Combining Open GL, a 3D graphic library, we discuss and analyze some visualization techniques in electromagnetic engineering.

VISUALIZATION OF THREE-DIMENSIONAL DATA FIELD AND ITS APPLICATION IN MACHINE TESTING

In order to realize visualization of three-dimensional data field （TDDF） in instrument, two methods of visualization of TDDF and the usual manner of quick graphic and image processing are analyzed. And how to use OpenGL technique and the characteristic of analyzed data to construct a TDDF, the ways of reality processing and interactive processing are described. Then the medium geometric element and a related realistic model are constructed by means of the first algorithm. Models obtained for attaching the third dimension in three-dimensional data field are presented. An example for TDDF realization of machine measuring is provided. The analysis of resultant graphic indicates that the three-dimensional graphics built by the method developed is featured by good reality, fast processing and strong interaction

无垂直视差图像多视点立体视觉图像的形成特性（英文）

1.Introduction The reproduction systems of 3D images without using eyeglasses and other special accessories has always attracted attention and aroused great interest of developers and consumers of such equipment because of totally accurate image and method of its presentation.Such systems can

Hot spots and future directions of research on the neuroprotective effects of nimodipine

Calcium antagonists are widely used in the clinical treatment of ischemic cerebrovascular disease because of their vascular and neuroprotective effects. Nimodipine, a typical calcium antagonist, can cross the blood-brain barrier and act selectively at neurons and blood vessels of target tis-sues, thus exerting neuroprotective effects. The aim of the present study was to explore the hot spots and future trends of research on the neuroprotective effects of nimodipine. We retrieved 425 articles on the neuroprotective effects of nimodipine that were indexed in the Web of the Science database between 2000 and 2014. The retrieved articles were analyzed using document analysis reporting and the derived information function in the Web of Science, and the infor-mation visualization software CiteSpace III. The reference co-citation network was plotted, and the high frequency key words in these publications were used to analyze the research fronts and development trends for nimodipine neuroprotection. According to these co-citation clusters, the research front of nimodipine neuroprotection is the use of randomized controlled trials to study nimodipine intervention of subarachnoid hemorrhage. Using time zone view analysis on hot spots labeled with a key word, the areas of interest in the ifeld of nimodipine neuroprotection are nimodipine pharmacology and therapeutics, blood-brain barrier, trials, and anti-angiospasm.

A bibliometric study of the Journal of School Health:1965-2014

Background：As an important international journal in the field of school health,the Journal of School Health has drawn wide attention from researchers and readers around the world.Therefore,it is important to conduct a systematic retrospective study of the journal.With the aim of understanding the development of the journal and the evolutionary process of cooperative study of this field comprehensively,we employed bibliometric analysis using the articles published in the Journal of School Health from 1965.Methods：Using bibliometrics,5242 articles published in the journal were extracted and then analyzed using the visualization software CiteSpace Ⅲ.Results：The annual published amount of literature showed a declining tendency;however,the frequency of citation displayed an increase year by year.Among prolific authors,the number of reports published by JH Price,L Kann and RJ McDermott are at the top.Among the high frequency keywords used in the research journal, ＂adolescents＂, ＂children＂ and ＂programs＂ have become popular in the journal＇s vocabulary.CDCP,Univ Texas and Univ Calif are positioned in the forefront of the involved institutions when ranked by degree of contribution.Conclusions：The Journal of School Health provides an important platform for sharing research achievements and promoting cooperation in this field.The amount of articles published in the journal is continually improving;its cooperative research network promoted by famous scholars and institutions is forming.As more researchers and institutions join,the network will grow and relationships will become increasingly close.However,limitations to cooperation at the regional or interagency scope remain.

Mobile augmented reality visualization and collaboration techniques for on-site finite element structural analysis

In this paper,a mobile augmented reality(AR)framework for on-site finite element analysis(FEA)is proposed.The proposed framework is achieved using a client–server architecture.The performance of FEA relies on several important components,namely,computational power,visualization technique,and numerical analysis.AR renders intuitive computer-generated contents directly on a user’s surroundings.Integrating FEA with AR helps users through enhancing their perception and interaction with the engineering problems.Correct and effective visualization of these data using an AR platform can reduce the misinterpretation in spatial and logical aspects.Over the past decade,AR has undergone a transition from desktop to phablet computing.Mobile platforms enable user exploration of FEA results in situ.The client side uses a hybrid method to visualize FEA results in the mobile AR environment.In addition,a user can collaborate with other users by using the result sharing function.A prototype with basic functions has been built and a case study has been implemented to demonstrate the visualization method and evaluate the overall performance.

Three-Dimensional Vector Field Visualization Based on Tensor Decomposition

This paper presents a visualization method called the deformed cube for visualizing 3D velocity vector field. Based on the decomposition of the tensor which describes the changes of the velocity it provides a teclmique for visualizing local flow. A deformed cube, a cube transformed by a tensor in a local coordinate frame, shows the local stretch, shear and rigid body rotation of the local flow corresponding to the decomposed component of the tensor. Users can interactively view the local deformation or any component of the changes.The animation of the deformed cube moving along a streamline achieves a more global impression of the flow field. This method is intended as a complement to global visualization methods.

Data I/O management approach for the post-hoc visualization of big simulation data results

Leading-edge supercomputers,such as the K computer,have generated a vast amount of simulation results,and most of these datasets were stored on the file system for the post-hoc analysis such as visualization.In this work,we first investigated the data generation trends of the K computer by analyzing some operational log data files.We verified a tendency of generating large amounts of distributed files as simulation outputs,and in most cases,the number of files has been proportional to the number of utilized computational nodes,that is,each computational node producing one or more files.Considering that the computational cost of visualization tasks is usually much smaller than that required for large-scale numerical simulations,a flexible data input/output(I/O)management mechanism becomes highly useful for the post-hoc visualization and analysis.In this work,we focused on the xDMlib data management library,and its flexible data I/O mechanism in order to enable flexible data loading of big computational climate simulation results.In the proposed approach,a pre-processing is executed on the target distributed files for generating a light-weight metadata necessary for the elaboration of the data assignment mapping used in the subsequent data loading process.We evaluated the proposed approach by using a 32-node visualization cluster,and the K computer.Besides the inevitable performance penalty associated with longer data loading time,when using smaller number of processes,there is a benefit for avoiding any data replication via copy,conversion,or extraction.In addition,users will be able to freely select any number of nodes,without caring about the number of distributed files,for the post-hoc visualization and analysis purposes.

Visualization framework for CAVE virtual reality systems

We have developed a software framework for scientific visualization in immersive-type,room-sized virtual reality(VR)systems,or Cave automatic virtual environment(CAVEs).This program,called Multiverse,allows users to select and invoke visualization programs without leaving CAVE’s VR space.Multiverse is a kind of immersive“desktop environment”for users,with a three-dimensional graphical user interface.For application developers,Multiverse is a software framework with useful class libraries and practical visualization programs as samples.

MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views

X-ray images obtained from synchrotron beamlines are large-scale,high-resolution and high-dynamic-range grayscale data encoding multiple complex properties of the measured materials.They are typically associated with a variety of metadata which increases their inherent complexity.There is a wealth of information embedded in these data but so far scientists lack modem exploration tools to unlock these hidden treasures.To bridge this gap,we propose MultiSciView,a multivariate scientific x-ray image visualization and exploration system for beamline-generated x-ray scattering data.Our system is composed of three complementary and coordinated interactive visualizations to enable a coordinated exploration across the images and their associated attribute and feature spaces.The first visualization features a multi-level scatterplot visualization dedicated for image exploration in attribute,image,and pixel scales.The second visualization is a histogram-based attribute cross filter by which users can extract desired subset patterns from data.The third one is an attribute projection visualization designed for capturing global attribute correlations.We demonstrate our framework by ways of a case study involving a real-world material scattering dataset.We show that our system can efficiently explore large-scale x-ray images,accurately identify preferred image patterns,anomalous images and erroneous experimental settings,and effectively advance the comprehension of material nanostructure properties.

MEinVR:Multimodal interaction techniques in immersive exploration

Immersive environments have become increasingly popular for visualizing and exploring large-scale,complex scientific data because of their key features:immersion,engagement,and awareness.Virtual reality offers numerous new interaction possibilities,including tactile and tangible interactions,gestures,and voice commands.However,it is crucial to determine the most effective combination of these techniques for a more natural interaction experience.In this paper,we present MEinVR,a novel multimodal interaction technique for exploring 3D molecular data in virtual reality.MEinVR combines VR controller and voice input to provide a more intuitive way for users to manipulate data in immersive environments.By using the VR controller to select locations and regions of interest and voice commands to perform tasks,users can efficiently perform complex data exploration tasks.Our findings provide suggestions for the design of multimodal interaction techniques in 3D data exploration in virtual reality.

A Surface Rendering Approach in 3D Rectilinear Datafield

This paper presents an approach for surface rendering in 3D rectilinear datafield. The approach will first detect the border of the given object in the field by underlying function fitting and the second gradient derivative calculating. On marking the border cells, they will be rendered in polygons to fit the surface of the object. The implementation, as well as some experiments, is given in the paper.

空间正义研究的知识结构、演变过程和新趋势--以CiteSpace分析为基础的科学计量学回顾研究

By applying the computational tool CiteSpace,the paper explored 9,553 documents relevant to spatial justice research from the Web of Science Core Collection and their 384,786 references.With the visualization of the document/author co-citation and co-author/term network and the detection of pivotal nodes,the knowledge structure,evolution process,and emerging trends of spatial justice research have been teased out.The findings revealed that the spatial justice research is mainly supported by geography,environmental science,and urban studies and planning.Having formed 15 document co-citation clusters since 1993,the mainstream of the research directions consists of distributive justice in geography and socio-spatial relationship focusing on specific vulnerable groups.Four stages of the spatial justice research,combined with a comparative view on spatial equality,equity,and justice,depicted how its concept grew up from describing the subtle relationship between space and justice to a specific research topic accompanied by research collaboration network.Learning from environmental justice,spatial justice has been developing its indepth theories and methodologies since the 2000s,but still lacking sufficient connection with each other.Its recent research enjoys the diversity of researching orientation,scale,and object.The continuous improvement of spatial justice assessment has helped to introduce spatial justice towards a new researching domain,while there also has been a tendency of the return of theoretical study in the recent decade.This scientometric review demonstrates a relatively comprehensive measurement of spatial justice research,which establishes the background for future theoretical approaches and provides practical instructions for spatial justice participatory development and social activities.