Simulation. An activity that mimics the reality of the clinical environment that is designed to demonstrate procedures, decision-making, and critical thinking through techniques such as role- playing and the use of devices (AANC, 2008). Wellness: Wellness is the optimal state of health of individuals or groups. There are two focal concerns: the realization of the fullest potential of an individual physically, psychologically, socially, spiritually, and economically; and the fulfillment of one’s role expectations in the family, community, place of worship, workplace and other settings (Xxxxx, Xxxx, & Xxxxxxx, 2006). References Accreditation Commission for Education in Nursing (ACEN). (2013). ACEN 2013 standards and criteria baccalaureate. Retrieved from xxxx://xxx.xxxxxxxxxx.xxx/manuals/SC2013_BACCALAUREATE.pdf. American Association of Colleges of Nursing (AACN). (2008). The essentials of baccalaureate education for professional nursing practice. Retrieved from xxxx://xxx.xxxx.xxxx.xxx/education-resources/baccessentials08.pdf. Xxxxxx, X., & Xxxxxx, S. (2012). Xxxxxx & Xxx’x fundamentals of nursing (9th ed.). Upper Saddle River, New Jersey: Person Education, Inc. Xxxxxx, X., & Xxxxx, S. (2014). Contemporary nursing: Issues, trends, and management (6th ed.). St. Louis, Missouri: Elsevier Xxxxx. Commission on Collegiate Nursing Education (CCNE). (2009). Standards for accreditation of baccalaureate and graduate degree nursing programs. Retrieved from xxxx://xxx.xxxx.xxxx.xxx/ccne-accreditation/standards09.pdf. Xxxxxxxxxx, X., Xxxxxxxx, X., Xxxxxxxxxxx, J., Xxxxx, X., Xxxxxxx, X., Xxxxxxxx, P., … (2007). Quality and safety education for nurses. Nursing Outlook, 55(3), 122-131. Institute of Medicine (IOM). (2003). Health professions education: A bridge to quality. Retrieved from xxxx://xxx.xxx.xxx/Reports/2003/health-professions-education-a-bridge- to-quality.aspx Xxxxxxx, X., & Xxxxxx, C. (2012). Leadership roles and management functions in nursing: Theory and application (6th ed.). Hong Kong, China: Wolters Kluwer Health/Lippincott Xxxxxxxx & Xxxxxxx Xxxxx, X. (Ed.). (2009). Xxxxx’x dictionary of medicine, nursing and health professions (8th ed.). St. Louis, Missouri: Xxxxx Elsevier.
Simulation. Simulation labs are available to better prepare students for real-life situations in for Health Sciences and Medicine. Technology-enabled learning – uOttawa: o Offers 302 courses online; 45 via audio conference; 113 via videoconference o Adopted blended learning on a large scale in 2013 to produce better learning outcomes, increase productivity and reduce costs. In 2016, 159 blended learning courses were already developed, 360 professors were trained to design and teach blended courses and in 2015- 2016, 6,000 students attended blended learning classes o Uses advanced simulation scenarios in English and French and is the leader in developing this expertise in French o Is equipped both technologically and pedagogically to contribute to the store of French-language and bilingual content available online; for example, online course delivery for such programs as the Bachelor of Education (BEd) and Master of Education (MEd) is a way to reach francophone students across Ontario Global and Community Engagement: Through the Xxxxxxxxx Xxxx Centre for Global and Community Engagement, students have participated in 4,463 volunteer placements with 391 community partners; in addition, the Centre operates the Community Service Learning initiative.
Simulation c. Reconstruction / tracking;
Simulation. Other Participating Agencies may purchase from Vendor’s authorized dealers and distributors, as applicable, provided the pricing and terms of this Agreement are extended to Participating Agencies by such dealers and distributors. Vendor’s authorized dealers and distributors, as applicable, are identified at xxxxx://xxx.xxxxxxxxxxxx.xxx/find-a-sales-rep, as may be updated from time to time. Pricing contained in this Attachment A shall be extended to all NPPGov members upon execution of the Intergovernmental Agreement.
Simulation. The dogs should be put through simulation exercises on a regular basis for detecting explosive substance concealed with human being, hidden inside vehicles etc. with the help of training aids as decided by the bank. In this regard, the vendor shall provide training kit at the RBI location as specified in the agreement document. Each dog is required to conduct at least one practice search every month and proper documentation to be done for the same. The practice search has to be conducted in the presence of the Bank’s Official.
Simulation. Once the City determines that the simulation is feasible and the cost is acceptable, the Team will proceed to develop a Simulation, defined in the following steps.
Simulation. Once the simulation base model is in place, the Team and the City will together evaluate the initial run of the simulation to determine if there are any specific issues or improvements to the process are warranted prior to executing the full suite of simulation scenarios. Once these recommendations are implemented to the satisfaction of the Team, the City will execute the defined simulation scenarios defined and collect the resulting data. During the course of the simulation runs, the City, at their discretion, may choose to develop additional scenarios based on the results of the defined scenarios as they may enhance the results. TransCore and KLD will be available for consultation during this process.
Simulation. When we do experiments with the wall-of-moments we normally do this during an event of radio or television show. This means that we are or can be involved during every step of the (pre-)production. Plus, there is a connection with the targeted audience already. The audience trusts the radio brand and is also critical. There is an involvement and interest in interactivity that we don’t need to enforce on to the participants, which is an enormous advantage. In Bristol, or Barcelona, however, there is no such liaison so as far as the trial goes, we will have to simulate everything. This is why, instead of really attending a running event, we want to try out the features needed by using them in a game.
Simulation. This section includes starting simulation of the reference scenario, an overview of the assessment tools, and setting and simulating scenarios as variations of the reference.
Simulation. In this work, we analyse dependability metrics of rfts using methods based on Monte Carlo simulation. This involves taking random samples from the (stochas- ··· N tic) iosa model that underlies the rft. More specifically, Monte Carlo simulation means the discrete-event simulation process used to generate failures and repairs of the (iosa components that model the) BEs of the tree. As described in [3, 16], this process begins at simulation time 0 when all basic elements are operational. The next failure time of all these BEs and SBEs is randomly sampled, according to their failure/dormancy distributions, and stored in a heap with the smallest time T1 at the top. Then, simulation time advances until time T1, simulating a failure of the corresponding component. As soon as this happens, the repair time of that component is sampled and stored in the events-time heap. Next, simulation time advances until the smallest next-event time at the top of the heap, T2, simulating either another failure, or a repair of the broken component. This process continues until the predefined end-of-simulation time T . The resulting sequence of fail/repair events in times T1 < T2 < < T < T is called a simulation trace. The math- ematical definition of a compositional semantics for repairable dfts that allows this approach is introduced in [20]; moreover, [3] formally defines simulation traces in such iosa semantics. A main advantage of this approach when compared to purely combinatorial analyses is the capability to deal with non-Markovian distributions. Sampling discrete (random) events is a straightforward and efficient process with today’s ≈ ∈ − ± scientific libraries and computer power. For instance, to estimate the unreliability of an rft one can sample N independent traces from its iosa semantics as described above. Then, an unbiased statistical estimator for p = unrelT is the proportion of traces observing a tle, pˆ [16]. The statistical error of pˆ can be quantified with two numbers δ and ε s.t. pˆ [p ε, p + ε] with probability at least δ. The interval pˆ ε is called a confidence interval (ci) with coefficient δ and precision 2ε. Such procedures scale linearly with the number of tree nodes and can handle non-Markovian failure and repair pdfs. However, they find a bottleneck to estimate rare events: i.e. if p 0, then very few traces observe the tle. Increasing the number of traces alleviates this problem, but even standard ci settings—where ε is relative to p—require sampl...
