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. The simulation computes global and individual abatement and profit for the null and full coalition (social optimum) outcomes. It also computes, for each partial coalition chosen from the power set of all possible coalitions: • Profit and abatement by members. • Profit by members if they were to leave the coalition. The simulator then checks stability of each partial coalition. For each stable partial coalition, the simulator computes: • Transfer payments among members (and member profits after transfer). • Profit and abatement by non-members. Finally, for each scenario with a stable partial coalition, the simulator computes global (total summed over members and non-members) abatement Q and profit Π and identifies those partial coalitions that generate the highest global abatement (which we deem the “best partial coalition”) and highest global profit. (If there is more than one “best partial coalition", we select one to represent the class in the figures.)
Simulation c. Reconstruction / tracking;
Simulation. A dedicated simulation was developed to assess the results obtained with the two experimental setups. In a first step, a low-energy simulation of air showers provided an energy and zenith-angle dependent flux of background particles including atmospheric muons and other secondary particles events 106 105 104 103 102 1 All particles Only muons Prob(nb hit ≤ mult) in 10 m2 and 1 μs) 0.98 0.97 2020 0.96 10 0.95
Simulation. 1.4 1.6 1.8 muon tracklength (m) JINST
Simulation. The consultant shall use the simulation program to compare the selected performance measures resulting from the new timing with the measures produced by the existing timing or other cycle lengths. In this way, the potential effectiveness of the new timing can be evaluated.
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. 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. 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...
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.
