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
The model described here, which links olfactory semantic profiles to canonical similarities, performs significantly better than the current state of the art, mainly due to the use of an optimization procedure. Application of Tversky's model in this study shows that in olfaction, estimation of similarities is based exclusively on the distinctive elements of the profiles, and does not take into account the common elements. Moreover, the optimum number of descriptors to reckon with seems to lie between 25 and 30.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1093/chemse/22.1.1 | DOI Listing |
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