69 research outputs found
The Leafhoppers, or Cicadellidae, of Illinois (Eurymelinae Balcluthinae)
THE leafhoppers, or Cicadellidae, constitute
one of the largest families of
insects in North America and also in
tile entire world, rivaling in number of
species such groups as the rove beetles, or
Staphylinidae, the hymenopterous family
Ichneumonidae, and the weevil family Curculionidae.
When complete, the Illinois list
of leafhoppers will probably be close to 700
species. This report deals with about half
of the Illinois leaf hopper species, comprising
16 subfamilies. The other half belongs
to the large subfamily Cicadellinae, which
is not treated in this report except for a key
to the genera.
Three hundred thirty species of the subfamilies
here treated are recorded from Illinois.
Additional species whose range indicates
that they might he found in the state
with subsequent collecting have been added
to the keys for the purpose of giving a more
thorough understanding of the Illinois species.
Many leafhopper species are economically
important, either inflicting direct damage
to crops, or transmitting plant diseases.
These species are difficult to differentiate
from many forms considered to be of little
or no economic importance. One of the
principal aims of this report is to set forth
keys and illustrations for their identification.published or submitted for publicationis peer reviewe
Boundary-crossing identities for diffusions having the time-inversion property
We review and study a one-parameter family of functional transformations, denoted by (S (ÎČ)) ÎČââ, which, in the case ÎČ<0, provides a path realization of bridges associated to the family of diffusion processes enjoying the time-inversion property. This family includes Brownian motions, Bessel processes with a positive dimension and their conservative h-transforms. By means of these transformations, we derive an explicit and simple expression which relates the law of the boundary-crossing times for these diffusions over a given function f to those over the image of f by the mapping S (ÎČ), for some fixed ÎČââ. We give some new examples of boundary-crossing problems for the Brownian motion and the family of Bessel processes. We also provide, in the Brownian case, an interpretation of the results obtained by the standard method of images and establish connections between the exact asymptotics for large time of the densities corresponding to various curves of each family
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence
We present a principled framework for inferring pixel labels in weakly-annotated image datasets. Most previous, example-based approaches to computer vision rely on a large corpus of densely labeled images. However, for large, modern image datasets, such labels are expensive to obtain and are often unavailable. We establish a large-scale graphical model spanning all labeled and unlabeled images, then solve it to infer pixel labels jointly for all images in the dataset while enforcing consistent annotations over similar visual patterns. This model requires significantly less labeled data and assists in resolving ambiguities by propagating inferred annotations from images with stronger local visual evidences to images with weaker local evidences. We apply our proposed framework to two computer vision problems, namely image annotation with semantic segmentation, and object discovery and co-segmentation (segmenting multiple images containing a common object). Extensive numerical evaluations and comparisons show that our method consistently outperforms the state-of-the-art in automatic annotation and semantic labeling, while requiring significantly less labeled data. In contrast to previous co-segmentation techniques, our method manages to discover and segment objects well even in the presence of substantial amounts of noise images (images not containing the common object), as typical for datasets collected from Internet search
A distinct lineage of giant viruses brings a rhodopsin photosystem to unicellular marine predators
Size Doesn't Matter: Towards a More Inclusive Philosophy of Biology
notes: As the primary author, OâMalley drafted the paper, and gathered and analysed data (scientific papers and talks). Conceptual analysis was conducted by both authors.publication-status: Publishedtypes: ArticlePhilosophers of biology, along with everyone else, generally perceive life to fall into two broad categories, the microbes and macrobes, and then pay most of their attention to the latter. âMacrobeâ is the word we propose for larger life forms, and we use it as part of an argument for microbial equality. We suggest that taking more notice of microbes â the dominant life form on the planet, both now and throughout evolutionary history â will transform some of the philosophy of biologyâs standard ideas on ontology, evolution, taxonomy and biodiversity. We set out a number of recent developments in microbiology â including biofilm formation, chemotaxis, quorum sensing and gene transfer â that highlight microbial capacities for cooperation and communication and break down conventional thinking that microbes are solely or primarily single-celled organisms. These insights also bring new perspectives to the levels of selection debate, as well as to discussions of the evolution and nature of multicellularity, and to neo-Darwinian understandings of evolutionary mechanisms. We show how these revisions lead to further complications for microbial classification and the philosophies of systematics and biodiversity. Incorporating microbial insights into the philosophy of biology will challenge many of its assumptions, but also give greater scope and depth to its investigations
Fauna mexicana II. Los Phlepsidos (Phlepsius y Texanamus) de MĂ©xico (Homoptera-Cicadellidae)
Megabahita Linnavuori & Delong (Homoptera, Cicadellidae, Deltocephalinae): descrição de trĂȘs espĂ©cies novas
Portanus Ball: descriçÔes de cinco espécies novas (Hemiptera, Auchenorrhyncha, Cicadellidae, Xestocephalinae) do Mato Grosso, Brasil
Two new species of Scaris le peletier & serville (Homoptera, Cicadellidae, Gyponinae) from Brazil
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