A bibliometric analysis and visualization of osteochondral lesions of talus (2004-2021)

Background:Osteochondral lesions of the talus(OLTs)are a significant challenge for foot and ankle specialists,which could cause pain and decrease patient function.Researchers can use the findings of this study to shape future directions for research by exploring global trends and hotspots in OLT.Methods:Web of Science Core Collection was used to retrieve literature related to OLT between 2004 and 2021.This report covers the current state of OLTs,such as publications,journals,trends,hotspots,and the performances of relevant countries,institutions and authors.The co-citation analysis,the coauthorship analysis,the cooccurrence analysis,and the bibliographic coupling analysis were conducted with the Bibliometrix R package,VOSviewer v1.6.10.0,and CiteSpace 5.8.R3.Results:During an 18-year review,717 articles and 76 review articles on OLT published from 2004 to 2021 were reviewed.The USA has made the largest contribution to the OLT-related literature,and a significant contribution has been made by Kennedy JG(48/6.05%)and van Dijk CN(30/3.78%).In terms of total link strength,Foot&Ankle International was the leading journal.Analysis showed that the global research hotspots of OLTs focused on the pathogenesis,diagnosis,clinical research,and surgical treatment of OLT.It would be significant to pay close attention to future research on osteochondral autograft transplantation and management,surgery,multidisciplinary integration and mechanisms of OLT,and its related diseases.Conclusions:The study provides information about the current status and hotspots of research in the domain of OLT over the past 18 years that will assist researchers in identifying potential perspectives on hot topics and research frontiers.

A machine learning approach for accelerated design of magnesium alloys. Part A:Alloy data and property space

Typically, magnesium alloys have been designed using a so-called hill-climbing approach, with rather incremental advances over the past century. Iterative and incremental alloy design is slow and expensive, but more importantly it does not harness all the data that exists in the field. In this work, a new approach is proposed that utilises data science and provides a detailed understanding of the data that exists in the field of Mg-alloy design to date. In this approach, first a consolidated alloy database that incorporates 916 datapoints was developed from the literature and experimental work. To analyse the characteristics of the database, alloying and thermomechanical processing effects on mechanical properties were explored via composition-process-property matrices. An unsupervised machine learning(ML) method of clustering was also implemented, using unlabelled data, with the aim of revealing potentially useful information for an alloy representation space of low dimensionality. In addition, the alloy database was correlated to thermodynamically stable secondary phases to further understand the relationships between microstructure and mechanical properties. This work not only introduces an invaluable open-source database, but it also provides, for the first-time data, insights that enable future accelerated digital Mg-alloy design.

Visualising data distributions with kernel density estimation and reduced chi-squared statistic

The application of frequency distribution statistics to data provides objective means to assess the nature of the data distribution and viability of numerical models that are used to visualize and interpret data.Two commonly used tools are the kernel density estimation and reduced chi-squared statistic used in combination with a weighted mean.Due to the wide applicability of these tools,we present a Java-based computer application called KDX to facilitate the visualization of data and the utilization of these numerical tools.

A Hierarchical Framework for Visualising and Simulating Supply Chains in Virtual Environments

This paper presents research into applying virtual environment (VE) technology to supply chain management (SCM). Our research work has employed virtual manufacturing environments to represent supply chain nodes to simulate processes and activities in supply chain management. This will enable those who are involved in these processes and activities to gain an intuitive understanding of them, so as to design robust supply chains and make correct decisions at the right time. A framework system and its hierarchical structure for visualising and simulating supply chains in virtual environments are reported and detailed in this paper.

Network Modelling and Visualisation Analysis of the Undergraduate Dental Curriculum System in China

Objectives: This study aims to present the characteristics of the undergraduate dental curriculum system using network modelling and visualisation analysis based on complex network theory, thus providing a theoretical foundation for the course development and curriculum reform. Methods: The correlation coefficient was used to quantify the intensity of the correlation between courses, and a visualisation complex network of the dental curriculum was built to explore the curriculum pattern from a dynamic perspective. Further, the statistical measurements of curriculum network were adopted to express the most relevant topological features. Subsequently, the minimum spanning tree and parallel coordinates plot were drawn to explore the curriculum community structure, quantify the key courses, and present different courses in time and space relationships. Results: The correlation analysis results show that the courses are closely related to each other. The main courses focus on pathology, pathophysiology, oral anatomy and physiology, closely connecting almost all medicine-related courses. The whole course network has an average degree value of 41.53, and a clustering coefficient of 0.78, indicating an obvious small-world characteristic. From the perspective of curriculum attributes, the number of public and theoretical courses was more than that of skills and practical courses. Moreover, the academic performance of skills and practical courses was lower than that of public and theoretical courses. Conclusion: The undergraduate dental courses have a progressive structure from basic professional knowledge to professional skills, which is reasonable for the dental education in China. However, some efforts towards curriculum reform based on this study are needed.

Oil Streak Visualisation of Fluid Flow Over Single D-Type Cylinder

An experimental study on the effect of cut angle on circular cylinders to the drag force is performed. Six cylinders were cut at different angles and the air flow impinges perpendicular to the cut surface of the cylinder. The cut angles applied include: 0°, 30°, 45°, 53°, 55°, and 75°. The shear layer visualisation on the surface of cylinder was conducted as well. Drag force was measured using a wind tunnel force balance and the wind speed was set so that a corresponding Rey-nolds number of 5.3 × 104 was achieved. Visualisation was carried out by covering the cylinder with paper wetted by mixture of oil and titanium dioxide powder. Experimental results show that drag force has similar trend to that of previous experiment results. The minimum drag coefficient is attained at the cut angle of 53°. From oil streak visualisation the streamlines pattern of the flow over the cylinder could be reconstructed.

Spatial Decision Support System for Coastal Zone Management under a Changing Climate in Victoria, Australia

The ultimate aim of using spatial datasets and spatial data modelling is focused on enabling a sustainable environment by bringing the public policies into practice. The consequence will be sustainable spatially aware strategic planning for all levels of Australian government. Geographical Information Systems (GIS) are the platform that can serve this aim provided that model, current process and spatial datasets are fit for purpose. To bring public policy into practice a broad range of knowledge from different disciplines is needed. Most decision making processes are pressured in terms of time and driving forces and also the process is beyond the knowledge of individuals in the various disciplines. There is a need for immediate uptake models and tools which are relevant to the target subject that will facilitate this decision making process. This paper focuses on realizing the utility in spatial data and spatial data handling in order to help climate change adaptation programs at local government level. Web-based mapping tools can assist planners prepare for the changing climate conditions in Bass Coast Shire Council. The GIS team has gathered data from various climate research organizations to understand projections of what different climate scenarios might look like over the next 100-year period. From this website demo it is hoped that the user will understand how the tool works, background information on different GIS platforms, access to interactive mapping, online geospatial analysis tools, videos, open source resource, sea level tools, modelling, 3D visualization and direct download access to various planning and natural resource data sets relating to environment management. Some results from our elevation data analyses through these Web map visualization tools are provided.

A CONFIGURATION SYSTEM FOR FASTENER DESIGN（AN APPROACH TOWARDS COMPUTER AIDED CONCEPTUAL DESIGN）

The paper describes research aimed at developing a configuration system to support theconceptual design of mechanical fasteners. A prototype configuration system has been developedwhich allows designers to interactively configure fastener designs using geometric and functionalicons , freely without regard to physical constraints, with the aim of forming candidate designs.Candidate designs are then passed to the qualitative modeller which uses qualrtative reasoningtechniques to evaluate the configuration. Supporting the above design procedure is a knowledgebase which contains object descriptions of fasteners and fastener features (given in terms ofgeometry, function, performance, material,installation). Design rules (expressing spatial andcasual relationships of fastener features),which are required during the evaluation of candidatefastener configurations, are also contained in the knowledge base.

Reality-based generation of virtual environments for digital earth

Digital Earth essentially consists of 3D and moreD models and attached semantic information(attributes).Techniques for generating such models efficiently are required very urgently.Reality-based 3D modelling using images as prime data source plays an important role in this context.Images contain a wealth of information that can be advantageously used for model generation.Images are increasingly available from satellite,aerial and terrestrial platforms.This contribution briefly describes some of the problems which we encounter if the process of model generation is to be automatised.With the help of some examples from Digital Terrain Model generation,Cultural Heritage and 3D city modelling we show briefly what can be achieved.Special attention is directed towards the use of model helicopters for image data acquisition.Some problems with interactive visualisation are discussed.Also,issues surrounding R&D,professional practice and education are also addressed.

How virtual reality can help visualise and assess geohazards

Geohazard research requires extensive spatiotemporal understanding based on an adequate multi-scale representation of modelling results.The most commonly applied representation basis for collected data is still the one of a 2D plane,typically a map.Digital maps of spatial data can be visualised and processed by using Geographic Information Systems.It is far less common to use 3D geomodels for the analysis and visualisation of spatial data.For the visualisation of both spatial and temporal hazard components,there are no standardised tools.We claim that a full geohazard assessment is only possible inside a new type of geoscientific and technological environment that is at the same time multi-dimensional,spatiotemporal,integrated,fully interactive(tele-)immersive,and collaborative.Surface and subsurface processes are interacting at various scales that are difficult to be overviewed at once.Virtual Reality(VR)technology could provide an attractive solution to overcome the multi-dimensional and spatiotemporal obstacles.The review of geoscientific applications using VR technology developed by multiple teams around the world shows that some solutions have already been developed many years ago,but widespread use was not possible.This is clearly changing now and soon we will see if VR can contribute to a better understanding of geo-processes.

Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations,clustering,and active learning

Supervised machine learning techniques require labelled multivariate training datasets.Many approaches address the issue of unlabelled datasets by tightly coupling machine learning algorithms with interactive visualisations.Using appropriate techniques,analysts can play an active role in a highly interactive and iterative machine learning process to label the dataset and create meaningful partitions.While this principle has been implemented either for unsupervised,semi-supervised,or supervised machine learning tasks,the combination of all three methodologies remains challenging.In this paper,a visual analytics approach is presented,combining a variety of machine learning capabilities with four linked visualisation views,all integrated within the mVis(multivariate Visualiser)system.The available palette of techniques allows an analyst to perform exploratory data analysis on a multivariate dataset and divide it into meaningful labelled partitions,from which a classifier can be built.In the workflow,the analyst can label interesting patterns or outliers in a semi-supervised process supported by active learning.Once a dataset has been interactively labelled,the analyst can continue the workflow with supervised machine learning to assess to what degree the subsequent classifier has effectively learned the concepts expressed in the labelled training dataset.Using a novel technique called automatic dimension selection,interactions the analyst had with dimensions of the multivariate dataset are used to steer the machine learning algorithms.A real-world football dataset is used to show the utility of mVis for a series of analysis and labelling tasks,from initial labelling through iterations of data exploration,clustering,classification,and active learning to refine the named partitions,to finally producing a high-quality labelled training dataset suitable for training a classifier.The tool empowers the analyst with interactive visualisations including scatterplots,parallel coordinates,similarity maps for records,and a new similarity map for partitions.

Simulation and Visualisation of Functional Landscapes:Effects of the Water Resource Competition Between Plants

Vegetation ecosystem simulation and visualisation are challenging topics involving multidisciplinary aspects. In this paper, we present a new generic frame for the simulation of natural phenomena through manageable and interacting models. It focuses on the functional growth of large vegetal ecosystems, showing coherence for scales ranging from the individual plant to communities and with a particular attention to the effects of water resource competition between plants. The proposed approach is based on a model of plant growth in interaction with the environmental conditions. These are deduced from the climatic data （light, temperature, rainfall） and a model of soil hydrological budget. A set of layers is used to store the water resources and to build the interfaces between the environmental data and landscape components： temperature, rain, light, altitude, lakes, plant positions, biomass, cycles, etc. At the plant level, the simulation is performed for each individual by a structural-functional growth model, interacting with the plant＇s environment. Temperature is spatialised, changing according to altitude, and thus locally controls plant growth speed. The competition for water is based on a soil hydrological model taking into account rainfalls, water runoff, absorption, diffusion, percolation in soil. So far, the incoming light radiation is not studied in detail and is supposed constant. However, competition for light between plants is directly taken into account in the plant growth model. In our implementation, we propose a simple architecture for such a simulator and a simulation scheme to synchronise the water resource updating （on a temporal basis） and the plant growth cycles （determined by the sum of daily temperatures）. The visualisation techniques are based on sets of layers, allowing both morphological and functional landscape views and providing interesting tools for ecosystem management. The implementation of the proposed frame leads to encouraging results that are presented and illustrate simple academic cases.

Exploring the limits of complexity: A survey of empirical studies on graph visualisation

For decades,researchers in information visualisation and graph drawing have focused on developing techniques for the layout and display of very large and complex networks.Experiments involving human participants have also explored the readability of different styles of layout and representations for such networks.In both bodies of literature,networks are frequently referred to as being‘large’or‘complex’,yet these terms are relative.From a human-centred,experiment point-of-view,what constitutes‘large’(for example)depends on several factors,such as data complexity,visual complexity,and the technology used.In this paper,we survey the literature on human-centred experiments to understand how,in practice,different features and characteristics of node–link diagrams affect visual complexity.

Application of 3D Printing and WebGL-Based 3D Visualisation Technology in Imaging Teaching of Ankle Joints

With the rapid development of medical technology,3D printing technology with realistic representation can perfectly display static human anatomy,while 3D visualisation technology based on Web Graphics Library(WebGL)can promote the rigid replication characteristics of traditional teaching models and express the dynamic spatial relationship between different anatomical structures.Medical students traditionally have less cognition of ankle ligament sprains.In this study,computed tomography(CT)and magnetic resonance imaging(MRI)data of the ankle joints of volunteers were used to print models of the ankle bone,tendon,and ligament using 3D printing technology,and a real-time interactive 3D digital model of the functional ankle joint was designed using 3D visualisation based on WebGL and 2D image real-time rendering technology for interactive teaching.The utility of the 3D printing model combined with the WebGL-based 3D digital teaching model was evaluated in comparison with traditional teaching methods in 24 medical students.The results showed that the total score of students in the experimental group(mean±SD,79.48±12.93)was significantly better than that of the control group(61.00±14.94)with P<0.05.The practical test scores of the experimental group(18.00±2.70)were significantly higher than those of the control group(13.67±4.96)with P<0.05.In the satisfaction survey,the feedback questionnaire showed that the interactive teaching model of 3D printing technology combined with WebGL-based 3D visualisation technology was recognised by students in terms of quality and overall satisfaction.In addition,female students who used 3D printing combined with WebGL-based 3D visualisation technology as learning aids had a greater difference in practical test scores from the control group than male students.This study has demonstrated that the interactive teaching mode of 3D printing combined with WebGL-based 3D visualisation technology is beneficial to the teaching of medical imaging,enriching the learning experience of students,and increasing the interaction between teachers and students.

Virtual representations of antique globes-new ways of touching the untouchable

The starting point of this paper is the idea that a comprehensive understanding of the earth and its systems calls for consideration of bygone views of the world.Creating facsimiles of antique globes in the form of digital globes provides a new opportunity to make such bygone world views accessible to a wide scientific audience.However,up to now,little practical experience in applying digital technology on globes has been made.Considering these attempts by thorough synopsis,this article deduces a comprehensive approach on virtual representations of antique globes that can be described by the superordinate concept of virtual representation.This concept comprises facilities of data acquisition of the original globe,ways of visualising the digitised globe and its final cartographic preparation.Applications that arise from this procedure are exemplified through both virtual hyperglobes and tactile hyperglobes.New findings on a 16th century earth globe are encouraging results of the presented virtual representation approach,which may offer a sustainable visualisation platform of interdisciplinary research.

Design and development of a web-based 3D cadastral visualisation prototype

Three-dimensional(3D)developments of land,such as complex high-rises,put enormous pressure on current land administration systems that have ad hoc approaches to 3D property management.These approaches are unable to support effective 3D storage,analysis and visualisation of property information.Effective visualisation is one of the essential components in realisation of a truly 3D cadastre.Currently,several 3D visualisation applications and cadastral prototypes have been developed around the world.However,they do not effectively represent ownership information in 3D because they have not been developed based on 3D cadastral visualisation requirements.After candidate 3D visualisation solutions were compared with user-derived visualisation criteria,a web-based 3D visualisation prototype was designed and developed.The functionality,usability and efficiency of the prototype were evaluated by potential users involved in the registration and management of property.While there was a high level of enthusiasm for the features of the prototype,the results also suggest further directions for development of 3D cadastral visualisation.

3D visualisations in simulations of future land use:exploring the possibilities of new,standard visualisation tools

Three-dimensional(3D)visualisations are an interesting method for representing model outcomes.Most visualisation techniques require expensive software and a lot of time to create them.When the visualisations need to be adapted frequently,a faster and more flexible method is needed.The first step of the proposed model is to create the 3D elements.These elements are combined with the base map,and distributed to the public using Google Earth.Both freely available and commercial software are used in this process.

Geospatial predictive modelling of the Neolithic archaeological sites of Magnesia in Greece

Sources of heterogeneous geospatial data such as the elevation,the slope,the aspect,the water network and the current settlements related to the known Neolithic archaeological sites of Magnesia,are used in an attempt to confirm the existence and allow for the prediction of other archaeological sites using predictive modelling theory.Predictive modelling allows the update of the problem solving strategy as soon as new data layers are available.The Dempster
Shafer Theory also commonly referred to as evidential reasoning(ER)is used to compose probability maps of areas of archaeological interest from physiographical and historical data.The advantage of this theory is that the ignorance is quantified and used to compose the probability maps named as belief,plausibility and belief interval for the archaeological sites.The final digital probability maps show that the Neolithic archaeological sites can be detected in the prefecture of Magnesia.This research study forms a methodological tool for the prediction of new archaeological sites in other areas of archaeological interest according to the physiographical and historical characteristics of the archaeological period being examined.It also contributes to the digital earth modelling and archaeological site protection,one of the most critical and challenging global initiatives.

S-ProvFlow.Storing and Exploring Lineage Data as a Service

We present a set of configurable Web service and interactive tools,s-ProvFlow,for managing and exploiting records tracking data lineage during workflow runs.It facilitates detailed analysis of single executions.It helps users manage complex tasks by exposing the relationships between data,people,equipment and workflow runs intended to combine productively.Its logical model extends the PROV standard to precisely record parallel data-streaming applications.Its metadata handling encourages users to capture the application context by specifying how application attributes,often using standard vocabularies,should be added.These metadata records immediately help productivity as the interactive tools support their use in selection and bulk operations.Users rapidly appreciate the power of the encoded semantics as they reap the benefits.This improves the quality of provenance for users and management.Which in turn facilitates analysis of collections of runs,enabling users to manage results and validate procedures.It fosters reuse of data and methods and facilitates diagnostic investigations and optimisations.We present S-ProvFlow's use by scientists,research engineers and managers as part of the DARE hyper-platform as they create,validate and use their data-driven scientific workflows.

Virtual geographic environments for water pollution control

Due to extensive water pollution in Chinese rivers and lakes,large efforts have to be made to improve the quality of drinking water and manage the sewage water treatment process.We propose a general workflow for integrating a large number of heterogeneous data sets relating to various hydrological compartments into a Virtual Geographic Environment(VGE).This allows both researchers and stakeholders to easily access complex data collections in a unified context,find interrelations or inconsistencies between data sets and evaluate simulation results with respect to other observations or simulations in the same region.A prototype of such a VGE has been set up for the region around Chao Lake,containing more than 20 spatial data sets and collections as well as first simulation result.The prototype has been successfully presented to researchers and stakeholders from China and Germany.