An Age-Period-Cohort Database of Inter-Regional Migration in Australia and Britain, 1976-96

Report prepared as part of a collaborative project on "Migration Trends in Australia and Britain: Levels and Trends in an Age-Period-Cohort Framework" funded by the Economic and Social Research Council and the Australian Research Council. This paper describes the way in which parallel databases of inter-regional migration flows for Australia and Britain, classified by five year ages and birth cohorts for four five year periods between 1976 and 1996. The data processing involves estimation of migration data for comparable spatial units, the reduction of the number of those units to a reduced set for ease of analysis, the extraction of migration data from official data files supplied by the Australian Bureau of Statistics and the Office for National Statistics, and the filling of gaps in these files through iterative proportional fitting for some of the British data. The final stage in preparation of the migration databases was to estimate the numbers of transitions (Australia) or movements (Britain) for age-period-cohort spaces. In principle, this last estimation involves a fairly simple interpolation or aggregation of age-time classified migration data, but in practice a great deal of detailed attention is required. A final section specifies the populations at risk to be used for each age-period-cohort observation plan to compute migration intensities

Harmonising Databases for the Cross National Study of Internal Migration: Lessons from Australia and Britain

This project involves the development of a Web interface to origin-destination statistics from the 1991 Census (in a form that will be compatible with planned 2001 outputs). It provides the user with a set of screen-based tools for setting the parameters governing each data extraction (data set, areas, variables) in the form of a query. Traffic light icons are used to signal what the user has set so far and what remains to be done. There are options to extract different types of flow data and to generate output in different formats. The system can now be used to access the interaction flow data contained in the 1991 Special Migration Statistics Sets 1 and 2 and Special Workplace Statistics Set C. WICID has been demonstrated at the Origin-Destination Statistics Roadshows organised by GRO Scotland and held during May/June 2000 and the Census Offices have expressed interest in using the software in the Census Access Project

Assessment of the hatchery kokanee (Oncorhynchus nerka) release program in Lake Roosevelt 2009 -- 2012

This study determined which kokanee stock performed best in Lake Roosevelt, WA: Lake Whatcom, Meadow Creek, or F1 mixed stock. The F1 mixed stock was created by collecting eggs from Lake Whatcom, Meadow Creek and non-marked kokanee that returned to Hawk Creek and raising them to the residualized smolt stage at the Spokane Tribal hatchery for release back into Lake Roosevelt. Fall spawning run data (2009 – 2012) were analyzed to assess the percentage and sex ratios of each stock returning to spawn in Lake Roosevelt. We had record returns of hatchery kokanee in 2009 (n = 8,895) and 2010 (n = 8,925), but poor returns in 2011 (n = 423) and 2012 (n = 1,893). The F1 mixed stock significantly outperformed the Lake Whatcom and Meadow Creek stocks for both return percentage (P \u3c0.001) and sex ratios (P \u3c0.001) in each year. The record kokanee returns of 2009 and 2010 coincided with relatively shallow drawdown and longer water retention times, whereas, the poor 2011 and 2012 returns coincided with a deep drawdown and shorter water retention times

Characterizing silicate materials via Raman spectroscopy and machine learning: Implications for novel approaches to studying melt dynamics

Silicate melt characteristics impose dramatic influence over igneous processes that operate, or have operated on, differentiated bodies: such as the Earth and Mars. Current understanding of these melt properties, such as composition, primarily comes from investigations on their volcanic byproducts. Therefore, it is imperative to innovate on modalities capable of constraining melt information in environments where a reliance on laboratory methods is severed. Recent investigations have turned to Raman Spectroscopy and amorphous volcanics as a suitable pairing for exploring these ideas. Silicate glasses are a proxy for igneous melts; and Raman spectroscopy is a robust analytical technique capable of operating in-situ. Existing calibrations for retrieving geochemical information from such samples using their Raman data are extremely underdeveloped, with only a handful of approaches available. Here, two supervised machine learning algorithms; Partial Least Squares (PLS) and Least Absolute Shrinkage & Selection Operator (LASSO) are employed with Raman spectroscopy to quantify geochemical information in volcanic glasses and tephra, while also qualifying the underlying atomic mechanics that drive Raman signal variability. This approach establishes a foundation for future explorations into new-age modeling technologies for geoscience experiments. Chapter I’s PLS geochemical model predicted the concentrations of oxide constituents in synthetic silicate glasses (SiO2, Na2O, K2O, CaO, TiO2, Al2O3, FeOT, MgO) with increased accuracy and applicability over currently available offerings. The study presents the largest and most diverse sampling suite yet utilized to produce such models. Chapter II highlights the limitations to PLS and LASSO based strategies for constraining iron (Fe)-redox information in glasses but uncovers their ability to accurately predict glass structural parameters like polymerization (NBO/T). Chapter III yielded accurate predictions of tephra concentrations from various mixed sediment samplings using PLS and LASSO calibrations. Spectra parameterizations highlighted that tephra signatures are unique enough to be readily distinguished from more crystalline profiles using Raman spectroscopy and machine learning. PLS and LASSO technologies are shown to be suitable, yet immature, avenues for unraveling the geochemical underpinnings of the Raman collections made in this work and help set the stage for future applications to Raman data from planetary missions such as the Perseverance Rover

Gamma-Ray Burst Phenomenon as Collapse of QED Magnetized Vacuum Bubble: Analogy with Sonoluminescence

We consider the phenomenon of a gamma-ray burst as a nonlinear collapse of a magnetic cavity surrounding a neutron star with very strong magnetic field B = 10^15 - 10^16 G due to the process of the bubble shape instability in a resonant MHD field of the accreting plasma. The QED effect of vacuum polarizability by the strong magnetic field is taken into account. We develop an analogy with the phenomenon of sonoluminescence (SL) when the gas bubble is located in the surrounding liquid with a driven sound intensity. We show that this analogy between GRB and SL phenomena really exists.Comment: 14 pages, submitted to Natur

Endothelial progenitor cells and burn injury - exploring the relationship.

Burn wounds result in varying degrees of soft tissue damage that are typically graded clinically. Recently a key participant in neovascularization, the endothelial progenitor cell, has been the subject of intense cardiovascular research to explore whether it can serve as a biomarker for vascular injury. In this review, we examine the identity of the endothelial progenitor cell as well as the evidence that support its role as a key responder after burn insult. While there is conflicting evidence with regards to the delta of endothelial progenitor cell mobilization and burn severity, it is clear that they play an important role in wound healing. Systematic and controlled studies are needed to clarify this relationship, and whether this population can serve as a biomarker for burn severity

The concentration of a pyrolusite ore

This is the history of an attempt to produce from a pyrolusite ore, a material sufficiently rich in manganese to be of value in the various industries such as the making of speigeleisen and ferro-manganese, the glass manufacturing, and the chemical industries. The greater part of the manganese used in the United States comes from Brazil, India and Russia. Our American ores are, in general, low grade and requires various preliminary concentration to fit them for use. Although we possess in this country a great deal of manganese ore, which could be put into suitable condition for the market, there has, up to this time, been little done with these ores --page 1

BRAVO economic study of LANDSAT follow-on

The LANDSAT Follow-On satellite consists of two major systems: the instrument module and the Multi-Mission Modular Spacecraft (MMS). The instrument module contains the thematic mapper and the five-band multispectral scanner instruments. The instrument module also includes the solar array, the tracking and data relay satellite (TDRS) antenna, and the wideband data module. The MMS contains the modularized and standardized power, propulsion, attitude control, and command and data handling subsystems. The Shuttle will be supporting the LANDSAT Follow-On system. The LANDSAT Follow-On Project plans two Delta 3910 launches. The first is scheduled for 1981; the second Delta launch will occur as needed to keep one satellite operational on orbit. The second satellite will be ready six months after the first. It could be launched any time after that. Shuttle support of the system could begin in early 1983 but would be scheduled to start after the second Delta launch

Ductile-regime turning of germanium and silicon

Single-point diamond turning of silicon and germanium was investigated in order to clarify the role of cutting depth in coaxing a ductile chip formation in normally brittle substances. Experiments based on the rapid withdrawal of the tool from the workpiece have shown that microfracture damage is a function of the effective depth of cut (as opposed to the nominal cutting depth). In essence, damage created by the leading edge of the tool is removed several revolutions later by lower sections of the tool edge, where the effective cutting depth is less. It appears that a truly ductile cutting response can be achieved only when the effective cutting depth, or critical chip thickness, is less than about 20 nm. Factors such as tool rake angle are significant in that they will affect the actual value of the critical chip thickness for transition from brittle to ductile response. It is concluded that the critical chip thickness is an excellent parameter for measuring the effects of machining conditions on the ductility of the cut and for designing tool-workpiece geometry in both turning and grinding