An Annotated Checklist of Wisconsin Handsome Fungus Beetles (Coleoptera: Endomychidae)

The first comprehensive survey of Wisconsin Endomychidae was initiated in 1998. Throughout Wisconsin sampling sites were selected based on habitat type and sampling history. Wisconsin endomychids were hand collected from fungi and under tree bark; successful trapping methods included cantharidinbaited pitfall traps, flight intercept traps, and Lindgren funnel traps. Examination of literature records, museum and private collections, and field research yielded 10 species, three of which are new state records. Two dubious records, Epipocus unicolor Horn and Stenotarsus hispidus (Herbst), could not be confirmed. Wisconsin distribution, along with relevant collecting techniques and natural history information, are summarized

Non-adiabatic Kohn-anomaly in a doped graphene monolayer

We compute, from first-principles, the frequency of the E2g, Gamma phonon (Raman G-band) of graphene, as a function of the charge doping. Calculations are done using i) the adiabatic Born-Oppenheimer approximation and ii) time-dependent perturbation theory to explore dynamic effects beyond this approximation. The two approaches provide very different results. While, the adiabatic phonon frequency weakly depends on the doping, the dynamic one rapidly varies because of a Kohn anomaly. The adiabatic approximation is considered valid in most materials. Here, we show that doped graphene is a spectacular example where this approximation miserably fails.Comment: 5 pages, 3 figures, Accepted by Phys. Rev. Let

Computer aided inspection procedures to support smart manufacturing of injection moulded components

This work presents Reverse Engineering and Computer Aided technologies to improve the inspection of injection moulded electro-mechanical parts. Through a strong integration and automation of these methods, tolerance analysis, acquisition tool-path optimization and data management are performed. The core of the procedure concerns the automation of the data measure originally developed through voxel-based segmentation. This paper discusses the overall framework and its integration made according to Smart Manufacturing requirements. The experimental set-up, now in operative conditions at ABB SACE, is composed of a laser scanner installed on a CMM machine able to measure components with lengths in the range of 5÷250 mm, (b) a tool path optimization procedure and (c) a data management both developed as CAD-based applications