Beyond technical and training considerations, another important aspect that warrants reflection is the role of organisational and occupational culture (see Moreto 2013).
As a result, when prioritizing and designing future training modules of the 10 essential public health services, any training considerations should consider the job categories of the public health workforce, the location in which the public health professionals work and the day-to-day contact each worker has with the public.
However, we can afford computer access, if not a computer itself, for every learner, and computer-based tutoring can provide education and training with "consideration of the particular person [that] will vary with individual capacities, interests, and previous experience".
Thus, with regard to risk reduction, in the area of human factors, the issue of training and consideration is indeed key, but also needs to be contextualized within these wider factors.
Other interventions may include offer of opportunities for postgraduate training, earlier consideration for promotion and provision of recreational facilities.
This project focused on system building through humanitarian surgery and specialized surgical training in consideration of local educational needs and resource limitations (12).
For faculty, the benefits include more productive and harmonious labs, improved chances of obtaining funding from agencies that take training into consideration during review, and the recognition that comes through the successes of trainees.
Maximising the personnel subsystem, as exemplified by expensive behaviour and attitude modification training without consideration of the organisation's technology or other sociotechnical characteristics, sub-optimises the overall system.
The train under consideration was equipped with 2 HXD2 locomotives and 210 C80 wagons.
But, he says, plenty of anecdotal evidence exists to warrant giving mental training some serious consideration in any plans to improve.
We address the open question of how to determine the strength of the inductive bias of programmed weights; we present a quantitative solution which takes the network architecture, the prior knowledge, and the training data into consideration.
