Switching gears: reforming negative gearing to solve our housing affordability crisis

This report attempts to break the current political impasse by provide a range of politically pragmatic proposals that would reform negative gearing without abolishing it outright. In each of these scenarios, existing investors are quarantined, with negative gearing only partially restricted. In addition, this report has also attempted to identify opportunities that would restructure negative gearing in a way that allows tax expenditure to be more directly targeted towards the creation of new housing supply. Such reforms would help tackle Australia’s housing affordability issues while also delivering a notable improvement in the federal budget

Do Different Groups Invest Differently in Higher Education?

On average, education accounts for about 2 percent of total annual expenditures by U.S. consumers, but this percentage varies greatly by demographic. Some groups appear to spend much more than others, so it is natural to question what influences this variation in spending. A popular conception is that racial and ethnic groups value higher education differently. In economic terms, this is a reflection of the value of human capital—how much people are willing to invest in their children’s education. The notion that some groups invest more than others is often based on average participation rates but does not account for actual expenditures or the expenditures when you consider socioeconomic differences. This Beyond the Numbers article looks at the amount of money invested in education by different race and ethnic groups and examines different factors that could contribute to the differences in expenditures. We find that race and ethnicity groups do, on average, spend vastly different amounts on education, but the likelihood of going to college (and thus having education expenditures) and socioeconomic factors have the most influence on families’ investment in higher education—and race and ethnicity is not the driving factor, as commonly thought

Activity Theory Analysis of Heart Failure Self-Care

The management of chronic health conditions such as heart failure is a complex process emerging from the activity of a network of individuals and artifacts. This article presents an Activity Theory-based secondary analysis of data from a geriatric heart failure management study. Twenty-one patients' interviews and clinic visit observations were analyzed to uncover eight configurations of roles and activities involving patients, clinicians, and others in the sociotechnical network. For each configuration or activity pattern, we identify points of tension and propose guidelines for developing interventions for future computer-supported healthcare systems

The Effect of Human Resource Management Practices on Farm Profitability: An Initial Assessment

Sound human resource management practices such as performance bonuses, performance reviews and feedback, and standard operating procedures allow farm managers to improve the human capital, and profitability, on the farm. To date, no research of the impact of HRM practices on farm profitability has been published. This article provides a theoretical justification for analyzing the impacts of HRM practices on firm profitability. This model assumes that HRM practices are labor-augmenting technologies, causing existing labor to be more efficient in production. Empirical results provide little support for a positive relationship between HRM practices and farm profitability, although additional research is suggested.

Vol. IX, Tab 47 - Ex. 31 - Deposition of Richard Holden (Google Project Manager Director)

Exhibits from the un-sealed joint appendix for Rosetta Stone Ltd., v. Google Inc., No. 10-2007, on appeal to the 4th Circuit. Issue presented: Under the Lanham Act, does the use of trademarked terms in keyword advertising result in infringement when there is evidence of actual confusion

ABC for Climate: Dealing with Expensive Simulators

A single molecule or molecule complex detection method is disclosed in certain aspects, comprising nano- or micro-fluidic channels.U

Multi-Agent Fitness Functions For Evolutionary Architecture

The dynamics of crowd movements are self-organising and often involve complex pattern formations. Although computational models have recently been developed, it is unclear how well their underlying methods capture local dynamics and longer-range aspects, such as evacuation. A major part of this thesis is devoted to an investigation of current methods, and where required, the development of alternatives. The main purpose is to utilise realistic models of pedestrian crowds in the design of fitness functions for an evolutionary approach to architectural design. We critically review the state-of-the-art in pedestrian and evacuation dynamics. The concept of 'Multi-Agent System' embraces a number of approaches, which together encompass important local and longer-range aspects. Early investigations focus on methods-cellular automata and attractor fields-designed to capture these respective levels. The assumption that pattern formations in crowds result from local processes is reflected in two dimensional cellular automata models, where mathematical rules operate in local neighbourhoods. We investigate an established cellular automata and show that lane-formation patterns are stable only in a low-valued density range. Above this range, such patterns suddenly randomise. By identifying and then constraining the source of this randomness, we are only able to achieve a small degree of improvement. Moreover, when we try to integrate the model with attractor fields, no useful behaviour is achieved, and much of the randomness persists. Investigations indicate that the unwanted randomness is associated with 2-lattice phase transitions, where local dynamics get invaded by giant-component clusters during the onset of lattice percolation. Through this in-depth investigation, the general limits to cellular automata are ascertained-these methods are not designed with lattice percolation properties in mind and resulting models depend, often critically, on arbitrarily chosen neighbourhoods. We embark on the development of new and more flexible methodologies. Rather than treating local and global dynamics as separate entities, we combine them. Our methods are responsive to percolation, and are designed around the following principles: 1) Inclusive search provides an optimal path between a pedestrian origin and destination. 2) Dynamic boundaries protect search and are based on percolation probabilities, calculated from local density regimes. In this way, more robust dynamics are achieved. Simultaneously, longer-range behaviours are also specified. 3) Network-level dynamics further relax the constraints of lattice percolation and allow a wider range of pedestrian interactions. Having defined our methods, we demonstrate their usefulness by applying them to lane-formation and evacuation scenarios. Results reproduce the general patterns found in real crowds. We then turn to evolution. This preliminary work is intended to motivate future research in the field of Evolutionary Architecture. We develop a genotype-phenotype mapping, which produces complex architectures, and demonstrate the use of a crowd-flow model in a phenotype-fitness mapping. We discuss results from evolutionary simulations, which suggest that obstacles may have some beneficial effect on crowd evacuation. We conclude with a summary, discussion of methodological limitations, and suggestions for future research