The small hive beetle (SHB), Aethina tumida, is a major pest of managed honey bee (Apis mellifera) colonies in the United States and Australia, and an emergent threat in Europe. While strong honey bee colonies generally keep SHB populations in check, weak or stressed colonies can succumb to infestations. This parasite has spread from a sub-Saharan Africa to three continents, leading to immense ...

Experimental and Natural Variation in Hovering Flight Capacity in Bees, Hymenoptera: Apidae By Jason Thomas Vance Dr. Stephen Roberts, Examination Committee Chair Associate Professor of Biological Sciences University of Nevada, Las Vegas In honey bees, the capacity for flight underlies many behaviors which impact fitness and longevity, such as the ability to forage or evade predators. However, ...

This paper presents an extensive and detailed experimental evaluation of XQuery processors. The study consists of running five publicly available XQuery benchmarks—the Michigan benchmark (MBench), XBench, XMach-1, XMark and X007—on six XQuery processors, three stand-alone (file-based) XQuery processors (Galax, Qizx/Open, Saxon-B) and three XML/XQuery database systems (BerkeleyDB/XML, MonetDB/XQ...

Honey bee Apis mellifera L. colonies produce two distinct phenotypes of workers during summer and winter to cope with drastic seasonal variations in climate food resources. Imidacloprid (IMP) is a neonicotinoid insecticide widely used agriculture for pest management control. In this study, we investigate the influence phenotype emerging conditions on diet behavior bees fed ad libitum concentrat...

Abstract Small hive beetle (Aethina tumida Murray) control has become an issue of increasing importance for North American apiculturists throughout the past two decades. Aethina was discovered in Florida 1989, presumably transported from its native habitat sub-Saharan Africa through shipment European honey bee (Apis mellifera L) queens. Estimates damage A. were as high $3 million annually Unite...

S : scientific #bd14 | big data conference 30 Norm Good Senior Statistician CSIRO Norm Good is a Statistician within the CSIRO’s Computational Informatics Division. He has been based in the Australian E-Health Research Centre (Brisbane) for the past eight years conducting health related research. Mr Good has considerable expertise in developing and applying variable selection techniques and sur...

Abstract The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification. HIVE-COTE forms its from classifiers multiple domains, including phase-independent shapelets, bag-of-words based dictionaries and phase-dependent intervals. Since it was first proposed in 2016, the algorithm has remained state art accuracy on U...