Methodology to predict the safety performance of rural multilane highways [Final Report for NCHRP Project 17-29]

The objective of this research is to develop a methodology that predicts the safety performance of various elements considered in the planning, design, and operation of nonlimited- access rural multilane highways.

Defence relationship health - deployment impact experience. A prospective study of the impact of deployment on the intimate relationships of Australian Army personnel

A comprehensive literature review has been undertaken exploring the stressors placed on the personal relationships of Australian Army personnel, through service life and also overseas deployments. This work is the first step in a program of research aimed at developing a screening tool, aimed at acting as an early warning system to enable the right assistance to be given to affected personnel at the earliest possible time. It is envisioned that this tool will be utilised by the day-to-day managers of Australian Army personnel, of whom the vast majority are not health practitioners. This review has identified the commonalities of relationships that last through service life and/or deployments, and those that fail. These factors are those which will aid the development of the screening tool, and enable the early identification of Australian Army personnel who are at risk of having their personal relationship break down. Several of the known relationship stressors are relevant to other ‘high intensity’ professions, such as paramedics. Personal experience as an Army Officer has helped to highlight the importance of this research, and the benefits of developing a tool tailored to the unique social microclimate that is the Australian Army are clear. This research is, to the author’s knowledge, unique in the Australian context.

Energy efficient home with price sensitive stochastically programmable TCAs

Introduction of dynamic pricing in present retail market, considerably affects customers with an increased cost of energy consumption. Therefore, customers are enforced to control their loads according to price variation. This paper proposes a new technique of Home Energy Management, which helps customers to minimize their cost of energy consumption by appropriately controlling their loads. Thermostatically Controllable Appliances (TCAs) such as air conditioner and water heater are focused in this study, as they consume more than 50% of the total household energy consumption. The control process includes stochastic dynamic programming, which incorporated uncertainties in price and demand variation. It leads to an accurate selection of appliance settings. It is followed by a real time control of selected appliances with its optimal settings. Temperature set points of TCAs are adjusted based on price droop which is a reflection of actual cost of energy consumption. Customer satisfaction is maintained within limits using constraint optimization. It is showed that considerable energy savings is achieved.

Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer's disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, highangular resolution diffusion MRI. We adapted GWASs to screen the brain's connectivity pattern, allowing us to discover genetic variants that affect the human brain's wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer's disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism (MACROD2), development (NEDD4), and mental retardation (UBE2A) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.