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Australia pays Nauru and Papua New Guinea to accommodate almost 1,000 asylum seekers who have attempted

Mrs Jenifer

The government began reopening a Christmas Island camp in December after a new law was passed allowing doctors rather than bureaucrats to decide which asylum seekers could come to Australia for hospital treatment. The law passed through the support of political parties outside the government and against the government’s wishes.A new doctors’ panel to decide the medical transfers to Australia has not yet been appointed.

“My attention here is to ensure that vexatious acts … by those who would seek to game the system to come to Australia using these loopholes will think twice about it,” Morrison told reporters.Women will be transferred to a less secure facility on the island. Only 4 percent of asylum seekers on Nauru and Papua New Guinea are women, Immigration Minister David Coleman said.Amnesty International’s Australian refugee coordinator, Graham Thom, accused Morrison of attempting to mislead the public and demonizing refugees.

Several factors limit this study’s input data quality and model predictive performance. First, we did not have gold standard images: plain film radiology is the first line of the diagnostic work-up, but not the gold standard imaging modality for hip fracture detection.3 Second, our labels have limited accuracy:

we imputed missing patient BMIs and HP variables when they were not documented consistently. Fourth, our preprocessing reduces image resolution: we used a pre-trained network, which required us to downscale the images from full resolution to 299 × 299 pixels. We further reduced the detail in the image representation by using a CNN feature dimensionality reduction to constrain the image feature space. Finally, we used a simple fine-tuning strategy and did not optimize model hyperparameters or model selection with a validation set. These image preprocessing and fine-tuning simplifications were done to expedite model training since our investigative questions involved training and comparing many models rather than training a best model.