VALUING WILDLIFE FOR EFFICIENT MULTIPLE USE: ELK VERSUS CATTLE

A restructuring of current theoretical and empirical research efforts is required if valuation estimates are to be of use in multiple-use policy making, a restructuring that focuses on the impact of recreation quality on recreation benefits and efficient wildlife herd sizes. The argument is illustrated for cattle production and elk management on public lands.Livestock Production/Industries, Resource /Energy Economics and Policy,

Efficient Refocussing of One Spin and Two Spin Interactions for NMR Quantum Computation

The use of spin echoes to refocus one spin interactions (chemical shifts) and two spin interactions (spin-spin couplings) plays a central role in both conventional NMR experiments and NMR quantum computation. Here we describe schemes for efficient refocussing of such interactions in both fully and partially coupled spin systems.Comment: 4 pages, RevTeX, including 4 LaTeX figure

Design of Neuromemristive Systems for Visual Information Processing

Neuromemristive systems (NMSs) are brain-inspired, adaptive computer architectures based on emerging resistive memory technology (memristors). NMSs adopt a mixed-signal design approach with closely-coupled memory and processing, resulting in high area and energy efficiencies. Previous work suggests that NMSs could even supplant conventional architectures in niche application domains such as visual information processing. However, given the infancy of the field, there are still several obstacles impeding the transition of these systems from theory to practice. This dissertation advances the state of NMS research by addressing open design problems spanning circuit, architecture, and system levels. Novel synapse, neuron, and plasticity circuits are designed to reduce NMSs’ area and power consumption by using current-mode design techniques and exploiting device variability. Circuits are designed in a 45 nm CMOS process with memristor models based on multilevel (W/Ag-chalcogenide/W) and bistable (Ag/GeS2/W) device data. Higher-level behavioral, power, area, and variability models are ported into MATLAB to accelerate the overall simulation time. The circuits designed in this work are integrated into neural network architectures for visual information processing tasks, including feature detection, clustering, and classification. Networks in the NMSs are trained with novel stochastic learning algorithms that achieve 3.5 reduction in circuit area, reduced design complexity, and exhibit similar convergence properties compared to the least-mean-squares algorithm. This work also examines the effects of device-level variations on NMS performance, which has received limited attention in previous work. The impact of device variations is reduced with a partial on-chip training methodology that enables NMSs to be configured with relatively sophisticated algorithms (e.g. resilient backpropagation), while maximizing their area-accuracy tradeoff

Some Observations on the Role of Violence in the Late Prose of Heinrich Böll

We read Frauen vor Flußlandschaft conscious that it is Böll\u27s last novel, alert for ways it might function retrospectively to clarify our understanding of his art. One of these ways lies in the role violence plays in his works, specifically the way violence helps define the fascinating and elusive middle ground between order and anarchy to which Böll repeatedly returns and which configures his shrouded Rhenish landscape

Examining and Identifying Components of Propaganda and Indoctrination

https://scholarworks.moreheadstate.edu/student_scholarship_posters/1210/thumbnail.jp