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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar, birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method was used for studying correlations between annual quantities of birch pollen and the meteorological factors. A highly significant (P = 0.00004) positive correlation was found between precipitation in February of the preceding year and annual birch pollen concentrations with the coefficient of determination, R2 = 0.950. These results suggest that atmospheric birch pollen counts can be predicted from the meteorological factor in the preceding year.
Download full-text PDF |
Source |
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http://dx.doi.org/10.3950/jibiinkoka.106.705 | DOI Listing |
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