1,520 research outputs found
How much of Australia's health expenditure is allocated to general practice and primary healthcare?
ackground and objectives
Understanding resource allocation is important to ensure that limited health resources are spent where they bring the greatest benefit. The aim of this study was to explore how much of Australia’s national health expenditure is allocated specifically to general practice services, and more broadly to primary healthcare (PHC) services.
Methods
This study used multiple Australian institutional reports – produced by the Australian Institute of Health and Welfare, Productivity Commission and Services Australia – to classify, compare and quantify general practice and PHC expenditure.
Results
National statistics report that approximately 34% of Australian health expenditure is spent on PHC. However, less than 20% of PHC expenditure (approximately 6.5% of total health expenditure) is allocated to delivering general practice services. Spending on general practitioners and general practice services varies between 4.2% and 6.8% of total health expenditure (between 12.4 billion) depending on the classification used.
Discussion
Significant differences exist in how different institutions classify general practice and PHC spending. Clearer, agreed and more precise methods of classification and reporting of health expenditure are needed
Function length as a tool for malware classification
The proliferation of malware is a serious threat to computer and information systems throughout the world. Antimalware companies are continually challenged to identify and counter new malware as it is released into the wild. In attempts to speed up this identification and response, many researchers have examined ways to efficiently automate classification of malware as it appears in the environment. In this paper, we present a fast, simple and scalable method of classifying Trojans based only on the lengths of their functions. Our results indicate that function length may play a significant role in classifying malware, and, combined with other features, may result in a fast, inexpensive and scalable method of malware classification.<br /
Optically probing symmetry breaking in the chiral magnet Cu2OSeO3
We report on the linear optical properties of the chiral magnet Cu2OSeO3,
specifically associated with the absence of inversion symmetry, the chiral
crystallographic structure, and magnetic order. Through spectroscopic
ellipsometry, we observe local crystal-field excitations below the
charge-transfer gap. These crystal-field excitations are optically allowed due
to the lack of inversion symmetry at the Cu sites. Optical polarization
rotation measurements were used to study the structural chirality and magnetic
order. The temperature dependence of the natural optical rotation, originating
in the chiral crystal structure, provides evidence for a finite
magneto-electric effect in the helimagnetic phase. We find a large
magneto-optical susceptibility on the order of V(540nm)~10^4 rad/(T*m) in the
helimagnetic phase and a maximum Faraday rotation of ~165deg/mm in the
ferrimagnetic phase. The large value of V can be explained by considering spin
cluster formation and the relative ease of domain reorientation in this
metamagnetic material. The magneto-optical activity allows us to map the
magnetic phase diagram, including the skyrmion lattice phase. In addition to
this, we probe and discuss the nature of the various magnetic phase transitions
in Cu2OSeO3.Comment: 9 pages, 10 figure
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