Cooperative Research Centre

About: Cooperative Research Centre is a based out in . It is known for research contribution in the topics: Population & Sea ice. The organization has 7633 authors who have published 8607 publications receiving 429721 citations.

Self-reported and clinically determined oral health status predictors for quality of life in dentate older migrant adults.

Abstract: – Objective: This paper reports the impact of oral health on the quality of life (QOL) of Southern European, dentate older adults, living independently in Melbourne, Australia. Participants were recruited through ethnic social clubs and interviewed about oral health, general health, socio-demographics, and QOL using the Medical Outcomes Study Short-Form 12 (SF-12). The SF-12’s physical and mental health component summary scores (PCS and MCS, respectively) were computed. The Oral Health Impact Profile (OHIP-14) assessed the specific impact of oral health on QOL. Participants were also given a clinical oral examination. Results: A total of 603 eligible older adults volunteered; 308 were from Greek background and 295 were from Italian background. Mean age was 67.7 years (SD 6.2), with 63.7% being female. The PCS score had a mean value of 45.8 (SD 11.8), and MCS had a mean of 47.8 (SD 5.7). PCS was associated with, periodontal status, chronic health condition, self-perceived oral health needs, self-assessed oral health status, oral health impact score and the interaction between gender and level of education [F(11 552) = 10.57; P < 0.0001]. These independent variables accounted for 16% of the variance in PCS. The multivariate model predicting MCS had only one significant variable (self-reported gingival bleeding), explaining 1.5% of the variance. The OHIP-14 ranged from 0 to 48 with a mean score of 5.6 (SD 9.3). The model predicting OHIP-14 contained four significant variables: perceived oral health treatment needs, number of missing natural teeth, reports of having to sip liquid to help swallow food, and gender [F(4576) = 33.39; P < 0.0001], and explained 18% of the variance. The results demonstrated a negative association between oral health indicators and both the oral health-related QOL and the physical component of the SF-12. Conclusion: The present findings support a growing recognition of the importance of oral health as a mediator of QOL. However, the self-selected sample and modest predictive power of the multivariate models suggest that further research is needed to expand this explanatory model.

Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance

Abstract: The energy radiated by the Earth towards space does not compensate the incoming radiation from the Sun leading to a small positive energy imbalance at the top of the atmosphere (0.4-1.Wm-2). This imbalance is coined Earth’s Energy Imbalance (EEI). It is mostly caused by anthropogenic greenhouse gases emissions and is driving the current warming of the planet. Precise monitoring of EEI is critical to assess the current status of climate change and the future evolution of climate. But the monitoring of EEI is challenging as EEI is two order of magnitude smaller than the radiation fluxes in and out of the Earth. Over 93% of the excess energy that is gained by the Earth in response to the positive EEI accumulates into the ocean in the form of heat. This accumulation of heat can be tracked with the ocean observing system such that today, the monitoring of Ocean Heat Content (OHC) and its long-term change provide the most efficient approach to estimate EEI. In this community paper we review the current four state-of-the-art methods to estimate global OHC changes and evaluate their relevance to derive EEI estimate on different time scales. These four methods make use of : 1) direct observations of in situ temperature; 2) satellite-based measurements of the ocean surface net heat fluxes; 3) satellite-based estimates of the thermal expansion of the ocean and 4) ocean reanalyses that assimilate observations from both satellite and in situ instruments. For each method we review the potential and the uncertainty of the method to estimate global OHC changes. We also analyze gaps in the current capability of each method and identify ways of progress for the future to fulfill the requirements of EEI monitoring. Achieving the observation of EEI with sufficient accuracy will depend on merging the remote sensing techniques with in situ measurements of key variables as an integral part of the Ocean Observing System.

Knowledge-based power line detection for UAV surveillance and inspection systems

Abstract: Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) has great potential in the automatic surveillance of electrical power infrastructure. For an automatic vision based power line inspection system, detecting power lines from cluttered background an important and challenging task. In this paper, we propose a knowledge-based power line detection method for a vision based UAV surveillance and inspection system. A PCNN filter is developed to remove background noise from the images prior to the Hough transform being employed to detect straight lines. Finally knowledge based line clustering is applied to refine the detection results. The experiment on real image data captured from a UAV platform demonstrates that the proposed approach is effective.

Complete nucleotide sequence of the chloroplast genome from the Tasmanian Blue Gum, Eucalyptus globulus (Myrtaceae)

Abstract: The complete nucleotide sequence of the chloroplast genome of the hardwood species Eucalyptus globulus is presented and compared with chloroplast genomes of tree and non-tree angiosperms and two softwood tree species. The 160 286 bp genome is similar in gene order to that of Nicotiana, with an inverted repeat (IR) (26 393 bp) separated by a large single copy (LSC) region of 89 012 bp and a small single copy region of 18 488 bp. There are 128 genes (112 individual gene species and 16 genes duplicated in the inverted repeat) coding for 30 transfer RNAs, 4 ribosomal RNAs and 78 proteins. One pseudogene (-infA) and one pseudo-ycf (-ycf15) were identified. The chloroplast genome of E. globulus is essentially co-linear with that of another hardwood tree species, Populus trichocarpa, except that the latter lacks rps16 and rpl32, and the IR has expanded in Populus to include rps19 (part of the LSC in E. globulus). Since the chloroplast genome of E. globulus is not significantly different from other tree and non-tree angiosperm taxa, a comparison of hardwood and softwood chloroplasts becomes, in essence, a comparison of angiosperm and gymnosperm chloroplasts. When compared with E. globulus, Pinus chloroplasts have a very small IR, two extra tRNAs and four additional photosynthetic genes, lack any functional ndh genes and have a significantly different genome arrangement. There does not appear to be any correlation between plant habit and chloroplast genome composition and arrangement.