Longitudinal teacher education and workforce study (LTEWS) final report

The Longitudinal Teacher Education Workforce Study (LTEWS) investigated the career progression of graduate teachers from teacher education into teaching employment in all states and territories across Australia in 2012 and the first half of 2013, and tracked their perceptions, over time, of the relevance and effectiveness of their teacher education programs. Specifically, it investigated: The career progression of the 2011 teacher education graduates from teacher education into, and possible exit from, teaching employment, including their utilisation into teaching, their retention and attrition in teaching in their early years, and their geographic and schools sector mobility; and, The views of teacher education graduates over time on the relevance and effectiveness of their teacher education for their teaching employment, including the relationship between their views of their teacher education and their early career teaching career. &nbsp

Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches

Obtaining the optimal extrusion process parameters by integration of optimization techniques was crucial and continuous engineering task in which it attempted to minimize the tool load. The tool load should be minimized as higher extrusion forces required greater capacity and energy. It may lead to increase the chance of part defects, die wear and die breakage. Besides, optimization may help to save the time and cost of producing the final product, in addition to produce better formability of work material and better quality of the finishing product. In this regard, this study aimed to determine the optimal extrusion process parameters. The minimization of punch load was the main concern, in such a way that the structurally sound product at minimum load can be achieved. Minimization of punch load during the extrusion process was first formulated as a nonlinear programming model using response surface methodology in this study. The established extrusion force model was then taken as the fitness function. Subsequently, the analytical approach and metaheuristic algorithms, specifically the particle swarm optimization, cuckoo search algorithm (CSA) and flower pollination algorithm, were applied to optimize the extrusion process parameters. Performance assessment demonstrated the promising results of all presented techniques in minimizing the tool loading. The CSA, however, gave more persistent optimization results, which was validated through statistical analysi

Intellectual Capital Disclosure and Initial Public Offerings: Evidence from Hong Kong

This paper presents the findings of a study of the impact of intellectua

Who Are the Most Unemployed People in New Zealand and What Can We Do About it?

This paper presents an analysis of data for the top ten most unemployed groups by ethnicity and birthplace who were living in New Zealand at the 2001 Census. These groups are either from refugee backgrounds, are highly visible groups, or come from strong extended family networks. These data are supplemented with information from the New Zealand Immigration Service's Longitudinal Immigration Pilot Survey and Refugee Voices Project as well as qualitative data from other research in New Zealand. Overall, the findings from this assessment of the census and survey data have significant implications for the development and provision of employment intervention programmes in New Zealand

Sequence variation in the cellulose synthase (SpCesA1) gene from Shorea parvifolia ssp. parvifolia mother trees

Cellulose synthase (CesA) is a key enzyme involved in the regulation of cellulose biosynthesis pathway. It is heritable and important in determining the variability of wood. In particular, it provides greater impact on the design of future genetic improvement strategies in the production of high quality wood. Thus, the molecular diversity of partial SpCesA1 genomic DNAs (802 bp) generated through PCR amplification was examined in this study, and this followed by sequencing from five selected Shorea parvifolia ssp. parvifolia mother trees. The consensus sequences were aligned to detect the presence of single nucleotide polymorphisms (SNPs). In total, seven SNPs were detected at nucleotide 58, 66, 69, 194, 224, 376 and 448. Interestingly, one single base pair InDel polymorphism was also detected at nucleotide 67. On average, one SNP at every 109 bp of the sequence data was detected. However, this result was obtained from a study of partial SpCesA1 genomic DNA of 802 bp. Two possible restriction enzymes were detected on two SNP sites of partial SpCesA1 genomic DNA. These included EarI (5’-GAAGAG-3’) and EcoRI (5’-GAATTC-3’), which were recognized and later cut at nucleotides 48 and 370, respectively. The exclusiveness of the restriction enzymes EarI and EcoRI obtained for SNPs at nucleotides 58 and 376, respectively, could be useful for the development of cleaved-amplified polymorphic sequence (CAPS) markers which could also be used to understand the molecular diversity of the CesA genes in tropical tree genomes

Chemical Reaction Mechanisms for Modeling the Fluorocarbon Plasma Etch of Silicon Oxide and Related Materials

As part of a project with SEMATECH, detailed chemical reaction mechanisms have been developed that describe the gas-phase and surface chemistry occurring during the fluorocarbon plasma etching of silicon dioxide and related materials. The fluorocarbons examined are C{sub 2}F{sub 6}, CHF{sub 3} and C{sub 4}F{sub 8}, while the materials studied are silicon dioxide, silicon, photoresist, and silica-based low-k dielectrics. These systems were examined at different levels, ranging from in-depth treatment of C{sub 2}F{sub 6} plasma etch of oxide, to a fairly cursory examination of C{sub 4}F{sub 8} etch of the low-k dielectric. Simulations using these reaction mechanisms and AURORA, a zero-dimensional model, compare favorably with etch rates measured in three different experimental reactors, plus extensive diagnostic absolute density measurements of electron and negative ions, relative density measurements of CF, CF{sub 2}, SiF and SiF{sub 2} radicals, ion current densities, and mass spectrometric measurements of relative ion densities

Identification of a novel autoantigen eukaryotic initiation factor 3 associated with polymyositis

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Effects of Exposure to Intermittent versus Continuous Red Light on Human Circadian Rhythms, Melatonin Suppression, and Pupillary Constriction

Exposure to light is a major determinant of sleep timing and hormonal rhythms. The role of retinal cones in regulating circadian physiology remains unclear, however, as most studies have used light exposures that also activate the photopigment melanopsin. Here, we tested the hypothesis that exposure to alternating red light and darkness can enhance circadian resetting responses in humans by repeatedly activating cone photoreceptors. In a between-subjects study, healthy volunteers (n = 24, 21–28 yr) lived individually in a laboratory for 6 consecutive days. Circadian rhythms of melatonin, cortisol, body temperature, and heart rate were assessed before and after exposure to 6 h of continuous red light (631 nm, 13 log photons cm−2 s−1), intermittent red light (1 min on/off), or bright white light (2,500 lux) near the onset of nocturnal melatonin secretion (n = 8 in each group). Melatonin suppression and pupillary constriction were also assessed during light exposure. We found that circadian resetting responses were similar for exposure to continuous versus intermittent red light (P = 0.69), with an average phase delay shift of almost an hour. Surprisingly, 2 subjects who were exposed to red light exhibited circadian responses similar in magnitude to those who were exposed to bright white light. Red light also elicited prolonged pupillary constriction, but did not suppress melatonin levels. These findings suggest that, for red light stimuli outside the range of sensitivity for melanopsin, cone photoreceptors can mediate circadian phase resetting of physiologic rhythms in some individuals. Our results also show that sensitivity thresholds differ across non-visual light responses, suggesting that cones may contribute differentially to circadian resetting, melatonin suppression, and the pupillary light reflex during exposure to continuous light

The development of a virtual cycling simulator

Cycling is one of the current thirteen elite sports in Hong Kong. Despite cycling is one of the well known activities in the world and has numerous advantages for health, it is still far from popular in Hong Kong. In this research, a virtual cycling simulator is developed for exercise and entertainment purpose, and for promoting the cycling activity. The hardware of the cycling simulator consists of four major units including a bike platform, an actuation unit, a sensing unit and a display unit. The control system receives signals from the sensing unit and controls the motions of the actuation unit. It also computes and renders the virtual environment in real-time thereby providing the experience of cycling on different terrain models

AEGIS: Demographics of X-ray and Optically Selected AGNs

We develop a new diagnostic method to classify galaxies into AGN hosts, star-forming galaxies, and absorption-dominated galaxies by combining the [O III]/Hbeta ratio with rest-frame U-B color. This can be used to robustly select AGNs in galaxy samples at intermediate redshifts (z<1). We compare the result of this optical AGN selection with X-ray selection using a sample of 3150 galaxies with 0.3<z<0.8 and I_AB<22, selected from the DEEP2 Galaxy Redshift Survey and the All-wavelength Extended Groth Strip International Survey (AEGIS). Among the 146 X-ray sources in this sample, 58% are classified optically as emission-line AGNs, the rest as star-forming galaxies or absorption-dominated galaxies. The latter are also known as "X-ray bright, optically normal galaxies" (XBONGs). Analysis of the relationship between optical emission lines and X-ray properties shows that the completeness of optical AGN selection suffers from dependence on the star formation rate and the quality of observed spectra. It also shows that XBONGs do not appear to be a physically distinct population from other X-ray detected, emission-line AGNs. On the other hand, X-ray AGN selection also has strong bias. About 2/3 of all emission-line AGNs at L_bol>10^44 erg/s in our sample are not detected in our 200 ks Chandra images, most likely due to moderate or heavy absorption by gas near the AGN. The 2--7 keV detection rate of Seyfert 2s at z~0.6 suggests that their column density distribution and Compton-thick fraction are similar to that of local Seyferts. Multiple sample selection techniques are needed to obtain as complete a sample as possible.Comment: 24 pages, 14 figures, submitted to ApJ. Version 2 matches the ApJ accepted version. Sec 3 was reorganized and partly rewritten with one additional figure (Fig.3