Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.

Machine Learning (ML) methods have become state of the art in radar signal processing, particularly for classification tasks (e.g., of different human activities).

The effect of hysterectomies and screening on mortality from cancer of the uterus in Canada.

The trends in mortality from cancer of the uterine cervix, cancer of the endometrium and all uterus in Canada and the ten Canadian Provinces from 1951-53 to 1974-76 at ages 30-64 have been re-evaluated in relation to screening for cancer of the cervix in 1966 and 1971 and hysterectomies for non-malignant conditions from 1969 to 1976. By means of series of mathematical models, the effect of different prior extrapolations of the numbers of hysterectomies performed by age and province has enabled the potential impact of hysterectomies on the trends of mortality from uterine cancer to be evaluated by relating deaths to "uteri at risk" rather than "women at risk" irrespective of the presence of an intact uterus. It has been found that the numbers of hysterectomies performed have little impact on the fall in mortality certified to cancer of the cervix or to all uterine cancer, but in the decade 1964-66 to 1974-66 they convert an apparent fall in mortality from cancer of the endometrium to stability.