The Return of \u3ci\u3eHexagenia\u3c/i\u3e (Ephemeroptera: Ephemeridae) to the Lower Fox River, Wisconsin

Burrowing mayflies (Hexagenia bilineata) were collected in 1991 in the vicinity of the DePere dam on the Fox River, Brown County, Wisconsin. Because Hexagenia mayflies are indicators of good water quality, their emergence from the Fox River is evidence of improvement in conditions at the sediment-water interface

\u3ci\u3eMantis Religiosa\u3c/i\u3e (Mantodea: Mantidae) in Door County, Wisconsin

The European mantid (Mantis religiosa) has been observed at several sites spanning a distance of approximately 50 km in northern Door County, Wisconsin. A reliable sighting of an unidentified praying mantid on Chambers Island in Green Bay suggests the possibility that the species occurs there as well. Lake-induced moderation of the Door County climate may have resulted in conditions especially conducive for the establishment of European mantids

\u3ci\u3eHexagenia Bilineata\u3c/i\u3e (Ephemeroptera: Ephemeridae) Persists at Low Levels of Abundance in the Lower Fox River, Wisconsin

After burrowing mayflies (Hexagenia bilineata) were first noted in the vicinity of the DePere Dam on the Fox River in 1991, adults have been observed in small numbers each summer since then. It is possible that the Fox River population has remained at low levels because of an Allee effect. In addition, it is possible that the population is still limited by poor environmental quality, presumably in the upper layer of sediment inhabited by the larvae. Two other relatively sensitive species associated with benthic habitat, the sea lamprey (Petromyzon marinus) and the lake sturgeon (Acipenser fulvescens), have been observed in the Fox River in recent years. Collectively these species provide an indication of improved environmental conditions, but it is not yet clear that any of the three have established populations capable of successfully reproducing in the lower Fox River on a consistent basis

The Assassin Bug \u3ci\u3eZelus Luridus\u3c/i\u3e (Heteroptera: Reduviidae) in Michigan\u27s Upper Peninsula

(excerpt) On 17 July 1992, an assassin bug (Zelus luridus Stal) was flushed from the stomach of a smallmouth bass (Micropterus dolomieu) collected in West Long Lake of the University of Notre Dame Environmental Research Center, Gogebic County, Michigan

Distribution of the Water Scorpion \u3ci\u3eNepa Apiculata\u3c/i\u3e (Hemiptera: Nepidae) in Wisconsin

The water scorpion Nepa apiculata Uhler was considered rare in Wiscon- sin by Hilsenhoff (1984), who collected only 11 individuals during a 25-year period. All of his collections were from overwintering sites, especially debris in streams, during early spring or autumn (Hilsenhoff, pers. comm.). He concluded that the species was restricted to southern Wisconsin. Recent collections indicate that N. apiculata is more widely distributed. These records, summarized below, are documented with specimens in the University of Wisconsin-Madison insect collection

Secondary Predation on the Horsehair Worm \u3ci\u3eGordius Robustus\u3c/i\u3e (Nematomorpha: Gordiida)

The gut contents of a brown trout (Salmo trutta) included horsehair worms (Gordius robustus, Nematomorpha: Gordiida) emerging from a camel cricket (Ceuthophilus sp., Orthoptera: Gryllacrididae). This provides more evidence of secondary ingestion than most previous reports of predation on horsehair worms, but it also illustrates the difficulty of distinguishing in practice between direct and secondary predation

Effect of hole geometry and Electric-Discharge Machining (EDM) on airflow rates through small diameter holes in turbine blade material

The effects of two design parameters, electrode diameter and hole angle, and two machine parameters, electrode current and current-on time, on air flow rates through small-diameter (0.257 to 0.462 mm) electric-discharge-machined holes were measured. The holes were machined individually in rows of 14 each through 1.6 mm thick IN-100 strips. The data showed linear increase in air flow rate with increases in electrode cross sectional area and current-on time and little change with changes in hole angle and electrode current. The average flow-rate deviation (from the mean flow rate for a given row) decreased linearly with electrode diameter and increased with hole angle. Burn time and finished hole diameter were also measured

Maximum-entropy Surrogation in Network Signal Detection

Multiple-channel detection is considered in the context of a sensor network where raw data are shared only by nodes that have a common edge in the network graph. Established multiple-channel detectors, such as those based on generalized coherence or multiple coherence, use pairwise measurements from every pair of sensors in the network and are thus directly applicable only to networks whose graphs are completely connected. An approach introduced here uses a maximum-entropy technique to formulate surrogate values for missing measurements corresponding to pairs of nodes that do not share an edge in the network graph. The broader potential merit of maximum-entropy baselines in quantifying the value of information in sensor network applications is also noted.Comment: 4 pages, submitted to IEEE Statistical Signal Processing Workshop, August 201

Applying the χ2\chi^2 Regularization Parameter Estimator by Downsampling Through Relations with The Singular Value Expansion

The solution, $x$, of the linear system of equations $A x\approx b$ arising from the discretization of an ill-posed integral equation with a square integrable kernel $H(s,t)$ is considered. The Tikhonov regularized solution $x(\lambda)$ is found as the minimizer of $J( x)=\{ \|A x - b\|_2^2 + \lambda^2 \|L x\|_2^2\}$. $x(\lambda)$ depends on regularization parameter $\lambda$ that trades off the data fidelity, and on the smoothing norm determined by $L$. Here we consider the case where $L$ is diagonal and invertible, and employ the Galerkin method to provide the relationship between the singular value expansion and the singular value decomposition for square integrable kernels. The resulting approximation of the integral equation permits examination of the properties of the regularized solution $x(\lambda)$ independent of the sample size of the data. We prove that estimation of the regularization parameter can be obtained by consistently down sampling the data and the system matrix, leading to solutions of coarse to fine grained resolution. Hence, the estimate of $\lambda$ for a large problem may be found by downsampling to a smaller problem, or to a set of smaller problems, effectively moving the costly estimate of the regularization parameter to the coarse representation of the problem. Moreover, the full singular value decomposition for the fine scale system is replaced by a number of dominant terms which is determined from the coarse resolution system, again reducing the computational cost. Numerical results illustrate the theory and demonstrate the practicality of the approach for regularization parameter estimation using generalized cross validation, unbiased predictive risk estimation and the discrepancy principle applied for both the system of equations, and the augmented system of equations