Estimating Indigenous housing need for public funding allocation: a multi-measure approach

This paper advocates a multi-measure approach to Indigenous housing need for the purposes of public funding allocation. It has been developed from three reports examining Indigenous housing need undertaken in 1998 and 1999. The first part of the paper elaborates on the context in which those reports were undertaken, including the concerns of Indigenous people in southern/urban areas that some dimensions of their needs were not being captured by earlier exercises emphasising bedroom need measures. It outlines our multi-measure approach intended to pick up on some of these other dimensions of housing need. The second section of the paper reports on homelessness, overcrowding, and affordability need measures in different parts of Australia, as estimated from the 1996 Census. It finds that these measures do have very different geographic distributions, thus vindicating the concerns of southern/urban Indigenous people. This section also costs the homelessness, overcrowding and affordability measures of housing need for Indigenous Australians in different parts of Australia in comparable terms. The third section of the paper examines the incidence of these three need measures across different housing tenures, from owning and buying to private, public and community rental. These too are costed in comparable terms. The fourth section of the paper compares Indigenous and non-Indigenous housing need according to the homelessness, overcrowding and affordability measures using data from the 1996 Census. The fifth section examines Indigenous housing need as measured from the 1991 and 1996 Censuses. The final section of this paper reflects on some limits and limitations of allocating Indigenous housing funding according to need, even with a multi-measure approach. It notes several other dimensions of housing need in which we have not yet been able to estimate nationwide measures. It notes the policy paradox that some measures of need may go up, while others, through policy intervention, go down. Also it notes that the standards used in this needs analysis are drawn from non-Indigenous social circumstances and may not reflect the aspirations or values of all Indigenous Australians. Finally it notes that to fund always on the basis of need may, over time, be to penalise those who are doing best at addressing need and reward those who are not. Some countervailing principle of public funding allocation on the basis of 'capacity to deliver' may also be required

Strength of hot isostatically pressed and sintered reaction bonded silicon nitrides containing Y2O3

The hot isostatic pressing of reaction bonded Si3N4 containing Y2O3 produced specimens with greater room temperature strengths than those by high pressure nitrogen sintering of the same material. Average room temperature bend strengths for hot isostatically pressed reaction bonded silicon nitride and high pressure nitrogen sintered reaction bonded silicon nitride were 767 and 670 MPa, respectively. Values of 472 and 495 MPa were observed at 1370 C. For specimens of similar but lower Y2O3 content produced from Si3N4 powder using the same high pressure nitrogen sintering conditions, the room temperature strength was 664 MPa and the 1370 C strength was 402 MPa. The greater strengths of the reaction bonded silicon nitride materials in comparison to the sintered silicon nitride powder material are attributed to the combined effect of processing method and higher Y2O3 content

Algorithms for Performance, Dependability, and Performability Evaluation using Stochastic Activity Networks

Modeling tools and technologies are important for aerospace development. At the University of Illinois, we have worked on advancing the state of the art in modeling by Markov reward models in two important areas: reducing the memory necessary to numerically solve systems represented as stochastic activity networks and other stochastic Petri net extensions while still obtaining solutions in a reasonable amount of time, and finding numerically stable and memory-efficient methods to solve for the reward accumulated during a finite mission time. A long standing problem when modeling with high level formalisms such as stochastic activity networks is the so-called state space explosion, where the number of states increases exponentially with size of the high level model. Thus, the corresponding Markov model becomes prohibitively large and solution is constrained by the the size of primary memory. To reduce the memory necessary to numerically solve complex systems, we propose new methods that can tolerate such large state spaces that do not require any special structure in the model (as many other techniques do). First, we develop methods that generate row and columns of the state transition-rate-matrix on-the-fly, eliminating the need to explicitly store the matrix at all. Next, we introduce a new iterative solution method, called modified adaptive Gauss-Seidel, that exhibits locality in its use of data from the state transition-rate-matrix, permitting us to cache portions of the matrix and hence reduce the solution time. Finally, we develop a new memory and computationally efficient technique for Gauss-Seidel based solvers that avoids the need for generating rows of A in order to solve Ax = b. This is a significant performance improvement for on-the-fly methods as well as other recent solution techniques based on Kronecker operators. Taken together, these new results show that one can solve very large models without any special structure

Sternal non-union in a professional hockey player: considerations for return to play

We describe a healthy 40-year old professional hockey player with an asymptomatic sternal non-union following aortic root surgery. The purpose of this case report is to make orthopedic surgeons aware of the possibility of this complication following sternotomy, and to discuss the considerations involved in return to play in contact sports. We will discuss our work-up, evaluation, and management of a sternal non-union in a professional athlete. Patient's consent has been obtained

Procalcitonin Identifies Cell Injury, Not Bacterial Infection, in Acute Liver Failure

Background Because acute liver failure (ALF) patients share many clinical features with severe sepsis and septic shock, identifying bacterial infection clinically in ALF patients is challenging. Procalcitonin (PCT) has proven to be a useful marker in detecting bacterial infection. We sought to determine whether PCT discriminated between presence and absence of infection in patients with ALF. Method Retrospective analysis of data and samples of 115 ALF patients from the United States Acute Liver Failure Study Group randomly selected from 1863 patients were classified for disease severity and ALF etiology. Twenty uninfected chronic liver disease (CLD) subjects served as controls. Results Procalcitonin concentrations in most samples were elevated, with median values for all ALF groups near or above a 2.0 ng/mL cut-off that generally indicates severe sepsis. While PCT concentrations increased somewhat with apparent liver injury severity, there were no differences in PCT levels between the pre-defined severity groups–non-SIRS and SIRS groups with no documented infections and Severe Sepsis and Septic Shock groups with documented infections, (p = 0.169). PCT values from CLD patients differed from all ALF groups (median CLD PCT value 0.104 ng/mL, (p ≤0.001)). Subjects with acetaminophen (APAP) toxicity, many without evidence of infection, demonstrated median PCT \u3e2.0 ng/mL, regardless of SIRS features, while some culture positive subjects had PCT values Summary/Conclusions While PCT appears to be a robust assay for detecting bacterial infection in the general population, there was poor discrimination between ALF patients with or without bacterial infection presumably because of the massive inflammation observed. Severe hepatocyte necrosis with inflammation results in elevated PCT levels, rendering this biomarker unreliable in the ALF setting

An Approach for Bounding Reward Measures in Markov Models Using Aggregation

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / 008609

Effects of Sex and Load Carried per Kilogram of Body Mass on Landing Technique

International Journal of Exercise Science 14(1): 633-643, 2021. Sex differences and heavy load carriage may contribute to the high rate of musculoskeletal injury in military recruits, particularly within the female population. Thus, the purposes of this study were to determine if load influenced landing quality differently in females compared to males and if load carried per kg body mass was associated to quality of landing. Twenty-eight participants were recruited for this study (males: n = 14; females: n = 14). Participants were grouped by sex. All twenty-eight participants performed three drop-jumps (DJ) under unloaded and loaded conditions. The loaded condition included a combat helmet, tactical vest, and rucksack (22 kg). Two cameras recorded in the frontal and sagittal directions during the three DJ trials. DJ trials were scored using the LESS. There was no significant difference in LESS difference scores between males and females, t(26) = -1.014, p = 0.320, 95% CI = -2.01 to 0.68. Load carried per kg body mass (rs= 0.401, p = 0.034) was significantly correlated to LESS rank order. The results suggest load does not significantly alter landing quality as measured by the LESS. However, participant body mass and load per kg of body may play a role in a person’s ability to adapt to heavy loads

The Proteogenomic Mapping Tool

<p>Abstract</p> <p>Background</p> <p>High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the high speed of experimental data generation and to aid in structural genome annotation, experimentally observed peptides need to be mapped back to their source genome location quickly and exactly. Previously, the tools to do this have been limited to custom scripts designed by individual research groups to analyze their own data, are generally not widely available, and do not scale well with large eukaryotic genomes.</p> <p>Results</p> <p>The Proteogenomic Mapping Tool includes a Java implementation of the Aho-Corasick string searching algorithm which takes as input standardized file types and rapidly searches experimentally observed peptides against a given genome translated in all 6 reading frames for exact matches. The Java implementation allows the application to scale well with larger eukaryotic genomes while providing cross-platform functionality.</p> <p>Conclusions</p> <p>The Proteogenomic Mapping Tool provides a standalone application for mapping peptides back to their source genome on a number of operating system platforms with standard desktop computer hardware and executes very rapidly for a variety of datasets. Allowing the selection of different genetic codes for different organisms allows researchers to easily customize the tool to their own research interests and is recommended for anyone working to structurally annotate genomes using MS derived proteomics data.</p

Automatic Verification of Distributed and Layered Security Policy Implementations

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / CNS-0524695U.S. Department of Homeland Security / 2006-CS-001-00000