Olympia: A Musical Composition for Wind Ensemble

Olympia is a one movement musical composition to be performed by a wind ensemble. Written for the composer’s honors capstone project, Olympia is an exploration into the world of composing for large musical ensembles. The main theme, heard in the trombone solo at measure 40, is the proverbial “voice in the wilderness” that heroically comes out of chaos and is heard throughout the piece in different forms. Starting in short score with piano and percussion, the piece was then orchestrated into the final version. Written in the fall of 2011 and the spring of 2012, Olympia was rehearsed and performed by the Western Kentucky University Wind Ensemble for a premiere on April 27th, 2012

Technology development: A partnership that makes sense

Discussed here is an approach to how academic institutions, government entities, and industrial organizations can work effectively to utilize their relative strengths to more effectively meet common goals. The discussion relates to the University of Houston-Clear Lake (UHCL) Research Institute for Computing and Information Systems (RICIS) Program to bring about this type of triad in the Clear Lake area. It is concluded that the interfaces among these groups must remain independent to maintain a healthy counterbalance to their respective entities. However, each entity can and must understand the entire mechanism to exploit each interface to the fullest. Only through such cooperation can the continued technical success of the NASA/Clear Lake area be assured

Fast maximum likelihood estimation using continuous-time neural point process models

A recent report estimates that the number of simultaneously recorded neurons is growing exponentially. A commonly employed statistical paradigm using discrete-time point process models of neural activity involves the computation of a maximum-likelihood estimate. The time to computate this estimate, per neuron, is proportional to the number of bins in a finely spaced discretization of time. By using continuous-time models of neural activity and the optimally efficient Gaussian quadrature, memory requirements and computation times are dramatically decreased in the commonly encountered situation where the number of parameters p is much less than the number of time-bins n. In this regime, with q equal to the quadrature order, memory requirements are decreased from O(np) to O(qp), and the number of floating-point operations are decreased from O(np2) to O(qp2). Accuracy of the proposed estimates is assessed based upon physiological consideration, error bounds, and mathematical results describing the relation between numerical integration error and numerical error affecting both parameter estimates and the observed Fisher information. A check is provided which is used to adapt the order of numerical integration. The procedure is verified in simulation and for hippocampal recordings. It is found that in 95 % of hippocampal recordings a q of 60 yields numerical error negligible with respect to parameter estimate standard error. Statistical inference using the proposed methodology is a fast and convenient alternative to statistical inference performed using a discrete-time point process model of neural activity. It enables the employment of the statistical methodology available with discrete-time inference, but is faster, uses less memory, and avoids any error due to discretization.National Science Foundation (U.S.) (NSF grant DMS-1042134

Optimised multi-camera systems for dimensional control in factory environments

As part of the United Kingdom’s Light Controlled Factory project, University College London aims to develop a large-scale multi-camera system for dimensional control tasks in manufacturing, such as part assembly and tracking. Accuracy requirements in manufacturing are demanding, and improvements in the modelling and analysis of both camera imaging and the measurement environment are essential. A major aspect to improved camera modelling is the use of monochromatic imaging of retro-reflective target points, together with a camera model designed for a particular illumination wavelength. A small-scale system for laboratory testing has been constructed using eight low-cost monochrome cameras with C-mount lenses on a rigid metal framework. Red, green and blue monochromatic light-emitting diode ring illumination has been tested, with a broadband white illumination for comparison. Potentially, accuracy may be further enhanced by the reduction in refraction errors caused by a non-homogeneous factory environment, typically manifest in varying temperatures in the workspace. A refraction modelling tool under development in the parallel European Union LUMINAR project is being used to simulate refraction in order to test methods which may be able to reduce or eliminate this effect in practice

Novel Subtype-Specific Genes Identify Distinct Subpopulations of Callosal Projection Neurons

Little is known about the molecular development and heterogeneity of callosal projection neurons (CPN), cortical commissural neurons that connect homotopic regions of the two cerebral hemispheres via the corpus callosum and that are critical for bilateral integration of cortical information. Here we report on the identification of a series of genes that individually and in combination define CPN and novel CPN subpopulations during embryonic and postnatal development. We used in situ hybridization analysis, immunocytochemistry, and retrograde labeling to define the layer-specific and neuron-type-specific distribution of these newly identified CPN genes across different stages of maturation. We demonstrate that a subset of these genes (e.g., Hspb3 and Lpl) appear specific to all CPN (in layers II/III and V–VI), whereas others (e.g., Nectin-3, Plexin-D1, and Dkk3) discriminate between CPN of the deep layers and those of the upper layers. Furthermore, the data show that several genes finely subdivide CPN within individual layers and appear to label CPN subpopulations that have not been described previously using anatomical or morphological criteria. The genes identified here likely reflect the existence of distinct programs of gene expression governing the development, maturation, and function of the newly identified subpopulations of CPN. Together, these data define the first set of genes that identify and molecularly subcategorize distinct populations of callosal projection neurons, often located in distinct subdivisions of the canonical cortical laminae.Stem Cell and Regenerative BiologyOther Research Uni

(In)dependent Contractors: Combatting Employee Misclassification in Title 26

This comment addresses the use of 26 U.S.C. § 7434 as an alternative remedy for individuals who are misclassified by their employers as independent contractors for federal tax purposes. Historically, misclassified employees have used more well-known employment laws such as the Fair Labor Standards Act to sue employers who engage in employee misclassification. 26 U.S.C. § 7434 provides an underutilized, alternative means for misclassified employees to recover damages for wrongful misclassification. Originally enacted in 1996 as part of the Taxpayer Bill of Rights, 26 U.S.C. § 7434 is a tax fraud statute that allows a taxpayer to seek civil damages when another person files a fraudulent information return with respect to payments purported to be made to the taxpayer. However, there is disagreement among federal courts as to whether the statute allows employees who have been misclassified as independent contractors to recover damages from their employer. This comment discusses the practical implications and drawbacks of using the statute as a remedy for misclassified employees. Further, this comment argues that the discord among federal courts should be resolved in favor of employees by allowing individuals who are misclassified to recover under the statute

When does passive learning improve the effectiveness of active learning?

Much of what we learn comes from a mix of information thatwe select (active) and information that we receive (passive).But which type of training is better for different kinds of learn-ing problems? Here, we explore this question by comparingdifferent sequences of active/passive training in an abstractconcept learning task. First, we replicate the active learningadvantage from Markant & Gureckis (2014) (Experiments 1aand 1b). Then, we provide a test of whether experiencing ac-tive learning first or passive learning first improves the effec-tiveness of concept learning (Experiment 2). Across both ex-periments, active training led to better learning of the targetconcept, but “passive-first” learners were more accurate than“active-first” learners and more efficient than “active-only”learners. These findings broaden our understanding of whendifferent sequences of active/passive learning are more effec-tive, suggesting that for certain problems active explorationcan be enhanced with prior passive experience

STEAP4 expression in human islets is associated with differences in body mass index, sex, HbA1c, and inflammation

Objective STEAP4 (six-transmembrane epithelial antigen of the prostate 4) is a metalloreductase that has been shown previously to protect cells from inflammatory damage. Genetic variants in STEAP4 have been associated with numerous metabolic disorders related to obesity, including putative defects in the acute insulin response to glucose in type 2 diabetes. Purpose We examined whether obesity and/or type 2 diabetes altered STEAP4 expression in human pancreatic islets. Methods Human islets were isolated from deceased donors at two medical centers and processed for quantitative polymerase chain reaction. Organ donors were selected by status as non-diabetic or having type 2 diabetes. Site 1 (Edmonton): N = 13 type 2 diabetes donors (7M, 6F), N = 20 non-diabetic donors (7M, 13F). Site 2 (Virginia): N = 6 type 2 diabetes donors (6F), N = 6 non-diabetic donors (3M, 3F). Results STEAP4 showed reduced islet expression with increasing body mass index among all donors (P < 0.10) and non-diabetic donors (P < 0.05) from Site 1; STEAP4 showed reduced islet expression among type 2 diabetes donors with increasing hemoglobin A1c. Islet STEAP4 expression was also marginally higher in female donors (P < 0.10). Among type 2 diabetes donors from Site 2, islet insulin expression was reduced, STEAP4 expression was increased, and white blood cell counts were increased compared to non-diabetic donors. Islets from non-diabetic donors that were exposed overnight to 5 ng/ml IL-1β displayed increased STEAP4 expression, consistent with STEAP4 upregulation by inflammatory signaling. Conclusions These findings suggest that increased STEAP4 mRNA expression is associated with inflammatory stimuli, whereas lower STEAP4 expression is associated with obesity in human islets. Given its putative protective role, downregulation of STEAP4 by chronic obesity suggests a mechanism for reduced islet protection against cellular damage

Introducing PHAEDRA: a new spectral code for simulations of relativistic magnetospheres

We describe a new scheme for evolving the equations of force-free electrodynamics, the vanishing-inertia limit of magnetohydrodynamics. This pseudospectral code uses global orthogonal basis function expansions to take accurate spatial derivatives, allowing the use of an unstaggered mesh and the complete force-free current density. The method has low numerical dissipation and diffusion outside of singular current sheets. We present a range of one- and two-dimensional tests, and demonstrate convergence to both smooth and discontinuous analytic solutions. As a first application, we revisit the aligned rotator problem, obtaining a steady solution with resistivity localised in the equatorial current sheet outside the light cylinder.Comment: 23 pages, 18 figures, accepted for publication in MNRA