Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: We present a surgical simulator, developed for the training of a laparoscopic surgery and in particular for mesh placement during an inguinal herniorrhaphy.
Methods: Major technical issues related to virtual surgery training systems include virtual patient modelling, collision detection and collision response, haptic and graphic rendering, 3-D motion tracking and some special effects, such as bleeding, cauterizing and so on. Among these problems, real-time deformation modelling and collision detection are the most challenging research topics.
Results: In this paper, we describe novel approaches addressing the above issues, which have been successfully adopted in our bimanual hernia repair simulator.
Conclusion: The implementations of our new collision detection and deformation appear to work well, even at haptic rates for the limited scope of mesh placement training. More sophisticated techniques are needed for full organ deformation especially for blunt dissection simulation.
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Source |
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http://dx.doi.org/10.1002/rcs.107 | DOI Listing |
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