I was somewhat stumped. Having such little information, I was left to say that I would simply prioritize based on the patients' acuity as well as do my best to ensure that anything I was doing wouldn't throw off the schedule of any other department in the hospital. I'm not sure how it went over. We'll see. It's only been a day and I haven't been contacted about an offer or anything to the contrary. But I left with generally positive feelings about the interview.
Inform your supervisor. Determine extent of body fluid contamination of work area. Determine proper chemical cleaning supplies necessary to correct contamination hazard. Use PPE (personal protection equipment) as appropriate to situation before you being clean-up of contaminated work space/bench.
With Rational Modeler, one can keep different artifacts (use cases, activity & sequence diagrams, etc) in a package. This means it has more integrated approach since dependencies among different artifacts are reflected as compared to Visio that treats every artifact independent of other artifacts.
I provided an example of a time when a customer was very frustrated that there was a hole in the shirt she had bought. I was able to speak calmly with her and offer her a full refund, which seemed to diffuse the situation.
Mean-Square error is an error metric for measuring image or video quality it is popular video and image quality metric because the analysis and mathematics is easier with this L2-Norm metric. Most video and image quality experts will agree that MSE is not a very good measure of perceptual video and image quality.
The mathematical reasoning behind the MSE is as follows: For any real applications, noise in the readings or the labels is inevitable. We generally assume this noise follows Gaussian distribution and this holds perfectly well for most of the real applications. Considering 'e' follows gaussian distribution in y=f(x) + e and calculating the MLE, we get MSE which is also L2 distance. Note: Assuming some other noise distribution may lead to other MLE estimate which will not be MSE.