Item talk:Q238891
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Volume of larvae Is the most important single predictor of mass temperatures in the forensically important Calliphorid, Chrysomya megacephala (Diptera: Calliphoridae)", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70178659", "url": "https://pubs.usgs.gov/publication/70178659" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70178659 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1093/jme/tjw139", "url": "https://doi.org/10.1093/jme/tjw139" } ], "journal": { "@type": "Periodical", "name": "Journal of Medical Entomology", "volumeNumber": "54", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Journal of Medical Entomology" } ], "datePublished": "2017", "dateModified": "2017-04-27", "abstract": "Calliphorid species form larval aggregations that are capable of generating heat above ambient temperature. We wanted to determine the relationship between volume, number of larvae, and different combinations of instars on larval mass heat generation. We compared different numbers of Chrysomya megacephala (F.) larvae (40, 100, 250, 600, and 2,000), and different combinations of instars (\u223c50/50 first and second instars, 100% second instars, \u223c50/50\u2009second and third instars, and 100% third instars) at two different ambient temperatures (20 and 30\u2009\u00b0C). We compared 13 candidate multiple regression models that were fitted to the data; the models were then scored and ranked with Akaike information criterion and Bayesian information criterion. The results indicate that although instar, age, treatment temperature, elapsed time, and number of larvae in a mass were significant, larval volume was the best predictor of larval mass temperatures. The volume of a larval mass may need to be taken into consideration for determination of a postmortem interval.", "description": "5 p.", "publisher": { "@type": "Organization", "name": "Oxford University Press" }, "author": [ { "@type": "Person", "name": "Gruner, S. V.", "givenName": "S. V.", "familyName": "Gruner" }, { "@type": "Person", "name": "Slone, D. H.", "givenName": "D. H.", "familyName": "Slone", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-9903-9727", "url": "https://orcid.org/0000-0002-9903-9727" }, "affiliation": [ { "@type": "Organization", "name": "Southeast Ecological Science Center", "url": "https://www.usgs.gov/regions/southeast" } ] }, { "@type": "Person", "name": "Capinera, J.L.", "givenName": "J.L.", "familyName": "Capinera" }, { "@type": "Person", "name": "Turco, M. P.", "givenName": "M. P.", "familyName": "Turco" } ], "funder": [ { "@type": "Organization", "name": "Wetland and Aquatic Research Center", "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center" } ] }, "OpenAlex": { "abstract_inverted_index": { "Calliphorid": [ 0 ], "species": [ 1 ], "form": [ 2 ], "larval": [ 3, 31, 129, 136, 143 ], "aggregations": [ 4 ], "that": [ 5, 88, 112 ], "are": [ 6 ], "capable": [ 7 ], "of": [ 8, 23, 28, 39, 53, 122, 135, 141, 154 ], "generating": [ 9 ], "heat": [ 10, 33 ], "above": [ 11 ], "ambient": [ 12, 75 ], "temperature.": [ 13 ], "We": [ 14, 35, 81 ], "wanted": [ 15 ], "to": [ 16, 91, 147 ], "determine": [ 17 ], "the": [ 18, 92, 94, 132 ], "relationship": [ 19 ], "between": [ 20 ], "volume,": [ 21 ], "number": [ 22, 121 ], "larvae,": [ 24 ], "and": [ 25, 48, 50, 57, 65, 68, 78, 99, 105, 120 ], "different": [ 26, 37, 51, 74 ], "combinations": [ 27, 52 ], "instars": [ 29, 54 ], "on": [ 30 ], "mass": [ 32, 126, 137, 144 ], "generation.": [ 34 ], "compared": [ 36, 82 ], "numbers": [ 38 ], "Chrysomya": [ 40 ], "megacephala": [ 41 ], "(F.)": [ 42 ], "larvae": [ 43, 123 ], "(40,": [ 44 ], "100,": [ 45 ], "250,": [ 46 ], "600,": [ 47 ], "2,000),": [ 49 ], "(\u223c50/50": [ 55 ], "first": [ 56 ], "second": [ 58, 61, 64 ], "instars,": [ 59, 62, 67 ], "100%": [ 60, 69 ], "\u223c50/50": [ 63 ], "third": [ 66, 70 ], "instars)": [ 71 ], "at": [ 72 ], "two": [ 73 ], "temperatures": [ 76 ], "(20": [ 77 ], "30": [ 79 ], "\u00b0C).": [ 80 ], "13": [ 83 ], "candidate": [ 84 ], "multiple": [ 85 ], "regression": [ 86 ], "models": [ 87, 95 ], "were": [ 89, 96, 127 ], "fitted": [ 90 ], "data;": [ 93 ], "then": [ 97 ], "scored": [ 98 ], "ranked": [ 100 ], "with": [ 101 ], "Akaike": [ 102 ], "information": [ 103, 107 ], "criterion": [ 104 ], "Bayesian": [ 106 ], "criterion.": [ 108 ], "The": [ 109, 139 ], "results": [ 110 ], "indicate": [ 111 ], "although": [ 113 ], "instar,": [ 114 ], "age,": [ 115 ], "treatment": [ 116 ], "temperature,": [ 117 ], "elapsed": [ 118 ], "time,": [ 119 ], "in": [ 124 ], "a": [ 125, 142, 155 ], "significant,": [ 128 ], "volume": [ 130, 140 ], "was": [ 131 ], "best": [ 133 ], "predictor": [ 134 ], "temperatures.": [ 138 ], "may": [ 145 ], "need": [ 146 ], "be": [ 148 ], "taken": [ 149 ], "into": [ 150 ], "consideration": [ 151 ], "for": [ 152 ], "determination": [ 153 ], "postmortem": [ 156 ], "interval.": [ 157 ] }, "apc_list": { "value": 3963, "currency": "USD", "value_usd": 3963, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5019040101", "display_name": "Susan V. 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