Dis-lodging literature from English: Challenging linguistic hegemonies

This paper problematises the location of literature "teaching" within the English (L1) curriculum, as is the case in New Zealand and other settings. It defamiliarises this arrangement by drawing attention to official New Zealand policies of biculturalism and to the increasing cultural and linguistic diversity in many New Zealand classrooms. It identifies a number of social justice issues arising from the current arrangement, and also raises issues in respect of educational policy and ways in which canonical subjects become constructed in practice. It then discusses ways in which a new qualifications template developed at the University of Waikato might provide a vehicle for establishing a new arrangement, in terms of which literature study is dislodged from English and reshaped as a course of study entitled Literature in Society. It indicates ways in which Comparative Literature, as a predominantly university-constituted discipline, might contribute to the theorisation of this new arrangement

The environmental and financial benefits of recovering plastics From residual municipal waste before energy recovery

A life cycle assessment was carried out to investigate the environmental benefits of removing dense plastics from household waste before burning the waste in an energy from waste (EfW) facility. Such a process was found to improve the climate change and non-renewable resource depletion impacts of the waste management system. A preliminary financial assessment suggests that the value of the plastics recovered in this way would be less than the reduction in electricity income for the EfW. However, if the plastics were separated by the householders and collected in a kerbside recycling scheme, the greater price commanded by the higher-quality reclaimed plastics means that the operation would financially viable Further work is required to assess the effectiveness of using both kerbside collections and mechanical recovery to reduce the plastics content and carbon intensity of EfW feeds

Drying of post-harvest rough rice with silica gel: A preliminary investigation

Rice drying operations can encounter problems of over drying and losses in head rice yield (HRY) through the formation of fissures. Typical rice drying methods also utilize large volumes of expensive fossil fuels to dry the kernels. Drying of rice with a solid desiccant such as silica gel has several potential advantages that avoid some of these problems. Two cultivars of long-grain rough rice, ‘Cheniere’ and ‘Wells’ with harvest moisture contents of 17.8% and 22.0%, respectively, were dried over a 48-h period with various ratios of rough rice-to-silica gel. It was found that an intimate mixture of 3:1 rough rice to silica gel was sufficient to dry these rice lots to 12.5% and 14.3% within 12 h, respectively. Head rice yields of desiccant-dried rice showed no considerable differences from the control. Rough-rice drying curves for all rough rice-to-silica gel mixtures followed exponential relationships

How will unemployment fare following the recession?

Since the start of the recession in December 2007, the U.S. unemployment rate has risen more than four percentage points. Similar sharp increases in unemployment have occurred in other severe recessions, such as those in 1973-75 and 1981-82. In the aftermath of those severe recessions, the economy rapidly recovered and unemployment quickly declined. ; Will unemployment behave similarly following this recession? One reason why unemployment may not fall as quickly this time is that the labor market has changed substantively since the early 1980s. In the two recoveries since then, not only did unemployment continue to climb, but it remained persistently high in what have been termed "jobless recoveries." To the extent that labor market changes were responsible for these jobless recoveries, unemployment following the current recession may also be slow to recover. ; A second reason unemployment may not fall quickly this time is that the recession has been coupled with a systemic banking crisis. While the United States has not had many instances of similar crises in the past, evidence from the experiences of other countries may shed light on how future unemployment in the United States is likely to behave. In general, the international data reveal large and persistent increases in unemployment in the aftermath of such events. ; Knotek and Terry examine these factors and quantify their potential implications for the future U.S. unemployment rate. Their analysis suggests that recent trends in labor markets, combined with the presence of a banking crisis in the current recession, raise the likelihood that unemployment will recover much more slowly from this recession than past episodes of severe recession may suggest. Moreover, such a slow recovery has the potential to raise important questions for policymakers, including the level of unemployment consistent with their goals.

Time variation in the inflation passthrough of energy prices

From Bayesian estimates of a vector autoregression (VAR) which allows for both coefficient drift and stochastic volatility, we obtain the following three results. First, beginning in approximately 1975, the responsiveness of core inflation to changes in energy prices in the United States fell rapidly and remains muted. Second, this decline in the passthrough of energy inflation to core prices has been sustained through a recent period of markedly higher volatility of shocks to energy inflation. Finally, reduced energy inflation passthrough has persisted in the face of monetary policy which quickly became less responsive to energy inflation starting around 1985.

Markov-chain approximations of vector autoregressions: application of general multivariate-normal integration techniques

Discrete Markov chains can be useful to approximate vector autoregressive processes for economists doing computational work. One such approximation method first presented by Tauchen (1986) operates under the general theoretical assumption of a transformed VAR with diagonal covariance structure for the process error term. We demonstrate one simple method of more conveniently treating this approximation problem in practice using readily available multivariate-normal integration techniques to allow for arbitrary positive-semidefinite covariance structures. Examples are provided using processes with non-diagonal and singular non-diagonal error covariances.

Alternative methods of solving state-dependent pricing models

We use simulation-based techniques to compare and contrast two methods for solving state-dependent pricing models: discretization, which solves and simulates the model on a grid; and collocation, which relies on Chebyshev polynomials. While both methods produce qualitatively similar results, statistically significant quantitative differences do arise. We present evidence favoring discretization over collocation in this context, given a lack of robustness in the latter.

Development of a High-Efficiency, Low-Power RF Power Amplifier for Use in a High-Temperature Environment

This thesis presents a study of the design of a high efficiency, low power, RF power amplifier that can operate over an extended temperature range. The amplifier has been implemented as a hybrid circuit with the active device fabricated in a 0.5μm silicon-on- sapphire CMOS technology and passive components implemented off-chip. First a review of power amplifiers is given. Next design considerations for low power, high efficiency amplifiers are presented. Finally design details and measurement results from a low-power Class E amplifier are presented. When operated with an output power of 1 mW, the Class E amplifier achieves an efficiency greater than 40% over the frequency band 250 MHz to 310 MHz at 25 C and from 265 MHz to 295 MHz at 200 C

A simple nearest-neighbor two-body Hamiltonian system for which the ground state is a universal resource for quantum computation

We present a simple quantum many-body system - a two-dimensional lattice of qubits with a Hamiltonian composed of nearest-neighbor two-body interactions - such that the ground state is a universal resource for quantum computation using single-qubit measurements. This ground state approximates a cluster state that is encoded into a larger number of physical qubits. The Hamiltonian we use is motivated by the projected entangled pair states, which provide a transparent mechanism to produce such approximate encoded cluster states on square or other lattice structures (as well as a variety of other quantum states) as the ground state. We show that the error in this approximation takes the form of independent errors on bonds occurring with a fixed probability. The energy gap of such a system, which in part determines its usefulness for quantum computation, is shown to be independent of the size of the lattice. In addition, we show that the scaling of this energy gap in terms of the coupling constants of the Hamiltonian is directly determined by the lattice geometry. As a result, the approximate encoded cluster state obtained on a hexagonal lattice (a resource that is also universal for quantum computation) can be shown to have a larger energy gap than one on a square lattice with an equivalent Hamiltonian.Comment: 5 pages, 1 figure; v2 has a simplified lattice, an extended analysis of errors, and some additional references; v3 published versio