scholarly journals Procedural Modeling for Realistic Virtual Worlds Development

1970 ◽  
Vol 4 (1) ◽  
Author(s):  
Pedro Brandão Silva ◽  
António Coelho
Keyword(s):  
Virtual Environments ◽  
Virtual Worlds ◽  
Real World ◽  
Large Scale ◽  
Large Data ◽  
Data Access ◽  
Urban Environments ◽  
Real World Data ◽  
Procedural Modeling ◽  
The Creation

The creation of virtual environments, corresponding to real world settings, constitutes one of the most important, but also most time and resource demanding processes in content development for virtual worlds. By querying real-world data sources, the building process can be automated, reducing the need for human intervention. However, these may present additional management difficulties due to their number, dimension, format or level of detail, therefore requiring specific techniques to operate on them. This paper describes the application of a procedural modeling solution, called PG3D System, on the creation of realistic virtual urban environments and their employ in virtual world applications. This system's implementation in spatial database management systems induces fast data access, large data manipulation features, complex query capabilities and format flexibility, allowing the fast creation of large scale virtual environments, imbued with optimized data structures, compatible with any digital game, custom modeling tool or metaverse platform.

A Comparative Study of Platforms for Multi-User Virtual Environments

2011 ◽  
pp. 137-170
Author(s):  
Arda Tezcan ◽  
Debbie Richards
Keyword(s):  
Foreign Language ◽  
Comparative Study ◽  
Language Learning ◽  
Virtual Environments ◽  
Virtual Worlds ◽  
Real World ◽  
Foreign Language Learning ◽  
Fields Of Study ◽  
The Right ◽  
Minimal Effort

Multi-User Virtual Environments (MUVEs) have been found to be engaging and provide an environment in which the elements of discovery, exploration and concept testing, fundamental to the field of science, can be experienced. Furthermore, MUVEs accommodate lifelike experiences with the benefit of the situated and distributed nature of cognition; they also provide virtual worlds to simulate the conditions that are not doable or practicable under real world circumstances making them very relevant to many other fields of study such as history, geography and foreign language learning. However, constructing MUVEs can be expensive and time consuming depending on the platform considered. Therefore, providing the most appropriate platform that requires minimal effort, cost and time will make MUVE deployment in the classroom faster and more viable. In this chapter, the authors provide a comparative study of prominent existing platforms for MUVEs that can be used to identify the right balance of functionality, flexibility, effort and cost for a given educational and technical context. A number of metrics are identified, described and used to enable the comparison. Platform assessment was done in four main metric groups: communication and interaction, characters, features and education. Communication and interaction metrics are used to assess how the communication and interaction is done within the examined platform. Character metrics are employed to measure avatar and agent affordances. Features metrics are defined to compare what the platform offers in terms of technology. Lastly, education metrics are used to identify the value of the associated platform for educational purposes.

scholarly journals Statistics and Characteristics Analysis of China’s Intellectual Property Crimes

2018 ◽  
Vol 228 ◽  
pp. 05013
Author(s):  
Yingyu Bao
Keyword(s):  
Intellectual Property ◽  
Virtual Worlds ◽  
Real World ◽  
Large Scale ◽  
Property Crime ◽  
Legal Framework ◽  
Actual Situation ◽  
Property Crimes ◽  
Characteristics Analysis ◽  
Intellectual Property Crime

By collecting, comparing and analyzing the data of intellectual property crime cases officially published, it is found that there is a big contrast between the quantity and the actual situation. Such crimes have the possibility of the existence of large-scale crime black numbers, the expansion of the scope of real-world crime objects, and the difficulty of eradicating criminal objects in virtual worlds. It should be given priority in the legal framework to reduce the phenomenon of intellectual property crime.

scholarly journals Supporting Soundscape Design in Virtual Environments with Content-based Audio Retrieval

2009 ◽  
Vol 2 (3) ◽  
Author(s):  
Jordi Janer
Keyword(s):  
Virtual Environments ◽  
Virtual Worlds ◽  
3D Models ◽  
Computer Assisted ◽  
Principal Characteristics ◽  
Computer Assisted Design ◽  
Audio Retrieval ◽  
Starting Point ◽  
On Line ◽  
The Creation

The computer-assisted design of soundscapes for virtual environments has received far less attention than the creation of graphical content. In this “think piece” we briefly introduce the principal characteristics of a framework under development that aims towards the creation of an automatic sonification of virtual worlds. As a starting point, the proposed system is based on an on-line collaborative sound repository that, together with content-based audio retrieval tools, assists the search of sounds to be associated with 3D models or scenes.

scholarly journals Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 416-422
Author(s):  
Laura McDonald ◽  
Varun Behl ◽  
Vijayarakhavan Sundar ◽  
Faisal Mehmud ◽  
Bill Malcolm ◽  
...  
Keyword(s):  
Social Media ◽  
Confidence Intervals ◽  
Real World ◽  
Unmet Need ◽  
Data Access ◽  
Treatment Patterns ◽  
Patient Treatment ◽  
Real World Data ◽  
The Real ◽  
Third Line

Abstract There is a need to understand how patients are managed in the real world to better understand disease burden and unmet need. Traditional approaches to gather these data include the use of electronic medical record (EMR) or claims databases; however, in many cases data access policies prevent rapid insight gathering. Social media may provide a potential source of real-world data to assess treatment patterns, but the limitations and biases of doing so have not yet been evaluated. Here, we assessed whether patient treatment patterns extracted from publicly available patient forums compare to results from more traditional EMR and claims databases. We observed that the 95% confidence intervals of proportions of treatments received at first, second, and third line for advanced/metastatic melanoma generated from unstructured social media data overlapped with 95% confidence intervals from proportions obtained from 1 or more traditional EMR/Claims databases. Social media may offer a valid data option to understand treatment patterns in the real world.

Providing Situation Awareness Assistance to Users of Large-Scale, Dynamic, Complex Virtual Environments

1993 ◽  
Vol 2 (4) ◽  
pp. 297-313 ◽  
Author(s):  
Martin R. Stytz ◽  
Elizabeth Block ◽  
Brian Soltz
Keyword(s):  
Virtual Environments ◽  
Virtual Environment ◽  
Situation Awareness ◽  
Real World ◽  
Large Scale ◽  
Virtual Space ◽  
Prototype System ◽  
First Person ◽  
Focus Attention ◽  
Unobtrusive Observation

As virtual environments grow in complexity, size, and scope users will be increasingly challenged in assessing the situation in them. This will occur because of the difficulty in determining where to focus attention and in assimilating and assessing the information as it floods in. One technique for providing this type of assistance is to provide the user with a first-person, immersive, synthetic environment observation post, an observatory, that permits unobtrusive observation of the environment without interfering with the activity in the environment. However, for large, complex synthetic environments this type of support is not sufficient because the mere portrayal of raw, unanalyzed data about the objects in the virtual space can overwhelm the user with information. To address this problem, which exists in both real and virtual environments, we are investigating the forms of situation awareness assistance needed by users of large-scale virtual environments and the ways in which a virtual environment can be used to improve situation awareness of real-world environments. A technique that we have developed is to allow a user to place analysis modules throughout the virtual environment. Each module provides summary information concerning the importance of the activity in its portion of the virtual environment to the user. Our prototype system, called the Sentinel, is embedded within a virtual environment observatory and provides situation awareness assistance for users within a large virtual environment.

scholarly journals Proton Pump Inhibitors and Risk of Dementia: A Hypothesis Generated but Not Adequately Tested

2021 ◽  
Vol 36 ◽  
pp. 153331752110624
Author(s):  
Mishah Azhar ◽  
Lawrence Fiedler ◽  
Patricio S. Espinosa ◽  
Charles H. Hennekens
Keyword(s):  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Real World ◽  
Large Scale ◽  
Basic Research ◽  
The United States ◽  
Epidemiological Studies ◽  
Real World Data ◽  
Health Authorities ◽  
Public Health Authorities

We reviewed the evidence on proton pump inhibitors (PPIs) and dementia. PPIs are among the most widely utilized drugs in the world. Dementia affects roughly 5% of the population of the United States (US) and world aged 60 years and older. With respect to PPIs and dementia, basic research has suggested plausible mechanisms but descriptive and analytic epidemiological studies are not inconsistent. In addition, a single large-scale randomized trial showed no association. When the evidence is incomplete, it is appropriate for clinicians and researchers to remain uncertain. Regulatory or public health authorities sometimes need to make real-world decisions based on real-world data. When the evidence is complete, then the most rational judgments for individual patients the health of the general public are possible At present, the evidence on PPIs and dementia suggests more reassurance than alarm. Further large-scale randomized evidence is necessary to do so.

scholarly journals Heart Snapshot: a broadly validated smartphone measure of VO2max for collection of real world data

2020 ◽  
Author(s):  
Dan E. Webster ◽  
Meghasyam Tummalacherla ◽  
Michael Higgins ◽  
David Wing ◽  
Euan Ashley ◽  
...  
Keyword(s):  
Real World ◽  
Gold Standard ◽  
Large Scale ◽  
Digital Health ◽  
Clinical Care ◽  
Skin Pigmentation ◽  
Epidemiologic Studies ◽  
Step Test ◽  
Real World Data ◽  
Laboratory Equipment

AbstractExpanding access to precision medicine will increasingly require that patient biometrics can be measured in remote care settings. VO2max, the maximum volume of oxygen usable during intense exercise, is one of the most predictive biometric risk factors for cardiovascular disease, frailty, and overall mortality.1,2 However, VO2max measurements are rarely performed in clinical care or large-scale epidemiologic studies due to the high cost, participant burden, and need for specialized laboratory equipment and staff.3,4 To overcome these barriers, we developed two smartphone sensor-based protocols for estimating VO2max: a generalization of a 12-minute run test (12-MRT) and a submaximal 3-minute step test (3-MST). In laboratory settings, Lins concordance for these two tests relative to gold standard VO2max testing was pc=0.66 for 12-MRT and pc=0.61 for 3-MST. Relative to “silver standards”5 (Cooper/Tecumseh protocols), concordance was pc=0.96 and pc=0.94, respectively. However, in remote settings, 12-MRT was significantly less concordant with gold standard (pc=0.25) compared to 3-MST (pc=0.61), though both had high test-retest reliability (ICC=0.88 and 0.86, respectively). These results demonstrate the importance of real-world evidence for validation of digital health measurements. In order to validate 3-MST in a broadly representative population in accordance with the All of Us Research Program6 for which this measurement was developed, the camera-based heart rate measurement was investigated for potential bias. No systematic measurement error was observed that corresponded to skin pigmentation level, operating system, or cost of the phone used. The smartphone-based 3-MST protocol, here termed Heart Snapshot, maintained fidelity across demographic variation in age and sex, across diverse skin pigmentation, and between iOS and Android implementations of various smartphone models. The source code for these smartphone measurements, along with the data used to validate them,6 are openly available to the research community.

scholarly journals A Joint Learning Approach to Intelligent Job Interview Assessment

2018 ◽  
Author(s):  
Dazhong Shen ◽  
Hengshu Zhu ◽  
Chen Zhu ◽  
Tong Xu ◽  
Chao Ma ◽  
...  
Keyword(s):  
Real World ◽  
Latent Variable ◽  
Large Scale ◽  
Real World Data ◽  
Job Interviews ◽  
Variable Model ◽  
Job Interview ◽  
Joint Learning ◽  
Interview Process ◽  
The Right

The job interview is considered as one of the most essential tasks in talent recruitment, which forms a bridge between candidates and employers in fitting the right person for the right job. While substantial efforts have been made on improving the job interview process, it is inevitable to have biased or inconsistent interview assessment due to the subjective nature of the traditional interview process. To this end, in this paper, we propose a novel approach to intelligent job interview assessment by learning the large-scale real-world interview data. Specifically, we develop a latent variable model named Joint Learning Model on Interview Assessment (JLMIA) to jointly model job description, candidate resume and interview assessment. JLMIA can effectively learn the representative perspectives of different job interview processes from the successful job application records in history. Therefore, a variety of applications in job interviews can be enabled, such as person-job fit and interview question recommendation. Extensive experiments conducted on real-world data clearly validate the effectiveness of JLMIA, which can lead to substantially less bias in job interviews and provide a valuable understanding of job interview assessment.

scholarly journals Exploring the Feasibility of Using Real-World Data from a Large Clinical Data Research Network to Simulate Clinical Trials of Alzheimer’s Disease

2020 ◽  
Author(s):  
Zhaoyi Chen ◽  
Hansi Zhang ◽  
Yi Guo ◽  
Thomas J George ◽  
Mattia Prosperi ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Trials ◽  
Clinical Data ◽  
Real World ◽  
Large Scale ◽  
Research Network ◽  
Real World Data ◽  
World Data ◽  
Trial Simulation

AbstractClinical trials are essential but often have high financial costs and long execution time. Trial simulation using real world data (RWD) could potentially provide insights on a treatment’s efficacy and safety before running a large-scale trial. In this work, we explored the feasibility of using RWD from a large clinical data research network to simulate a randomized controlled trial of Alzheimer’s disease considering two different scenarios: an one-arm simulation of the standard-of-care control arm; and a two-arm simulation comparing treatment safety between the intervention and control arms with proper patient matching algorithms. We followed original trial’s design and addressed some key questions, including how to translate trial criteria to database queries and establish measures of safety (i.e., serious adverse events) from RWD. Our simulation generated results comparable to the original trial, but also exposed gaps in both trial simulation methodology and the generalizability issue of clinical trials.

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