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10.3390/insects5010167 http://scihub22266oqcxt.onion/10.3390/insects5010167 C4592627!4592627 !26462584     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26462584 &cmd=llinks): Failed to open stream: HTTP request failed! 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The First Order Transfer Function in the Analysis of Agrochemical Data in Honey Bees (Apis Mellifera L ): Proboscis Extension Reflex (PER) Studies |pdf=|usr=}}{{26462584 }} gab.com Text The First Order Transfer Function in the Analysis of Agrochemical Data in Honey Bees (Apis Mellifera L ): Proboscis Extension Reflex (PER) Studies JO: Insects http://www.kidney.de/pget.php?&tw=1&pmid=26462584 #FOAvip This paper describes a mathematical model of the learning process suitable for studies of conditioning using the proboscis extension reflex (PER) in honey bees when bees are exposed to agrochemicals. Although procedural variations exist in the way laboratories use the PER paradigm, proboscis conditioning is widely used to investigate the influence of pesticides and repellents on honey bee learning. Despite the availability of several mathematical models of the learning process, no attempts have been made to apply a mathematical model to the learning curve in honey bees exposed to agrochemicals. Our model is based on the standard transfer function in the form Y=B3 e(-B2 (X-1)) +B4(1-e(-B2 (X-1))) where X is the trial number, Y is the proportion of correct responses, B2 is the learning rate, B3 is readiness to learn, and B4 is ability to learn. We reanalyze previously published data on the effect of several classes of agrochemicals including: (1) those that are considered harmless to bees (e.g., pymetrozine, essential oils, dicofol); (2) sublethal exposure to pesticides known to harm honey bees (e.g., coumaphos, cyfluthrin, fluvalinate, permethrin); and (3) putative repellents of honey bees (e.g., butyric acid, citronella). The model revealed additional effects not detected with standard statistical tests of significance. Twit Text FOAVip The First Order Transfer Function in the Analysis of Agrochemical Data in Honey Bees (Apis Mellifera L ): Proboscis Extension Reflex (PER) Studies ????Insects http://www.kidney.de/pget.php?&tw=1&pmid=26462584 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26462584 #FOAvip English Wikipedia <ref>{{Cite pmid|26462584 }}</ref> The First Order Transfer Function in the Analysis of Agrochemical Data in Honey Bees (Apis Mellifera L ): Proboscis Extension Reflex (PER) Studies #MMPMID26462584 De Stefano LA ; Stepanov II ; Abramson CI Insects 2014[Jan]; 5 (1 ): 167-98 PMID26462584 show ga This paper describes a mathematical model of the learning process suitable for studies of conditioning using the proboscis extension reflex (PER) in honey bees when bees are exposed to agrochemicals. Although procedural variations exist in the way laboratories use the PER paradigm, proboscis conditioning is widely used to investigate the influence of pesticides and repellents on honey bee learning. Despite the availability of several mathematical models of the learning process, no attempts have been made to apply a mathematical model to the learning curve in honey bees exposed to agrochemicals. Our model is based on the standard transfer function in the form Y=B3 e(-B2 (X-1)) +B4(1-e(-B2 (X-1))) where X is the trial number, Y is the proportion of correct responses, B2 is the learning rate, B3 is readiness to learn, and B4 is ability to learn. We reanalyze previously published data on the effect of several classes of agrochemicals including: (1) those that are considered harmless to bees (e.g., pymetrozine, essential oils, dicofol); (2) sublethal exposure to pesticides known to harm honey bees (e.g., coumaphos, cyfluthrin, fluvalinate, permethrin); and (3) putative repellents of honey bees (e.g., butyric acid, citronella). The model revealed additional effects not detected with standard statistical tests of significance. äThe First Order Transfer Function in the Analysis of Agrochemical Data(epmc).pdf DeepDyve Pubget Overpricing