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Theoretical Framework
This week, you will write your theoretical framework.
PICOT question: Among patients aged between 9-26 years who visits the public clinic, how does nurses providing education to the patients about human papillomavirus vaccination affect the vaccination rate compared to patients who do not participate in the HPV education provided over the next 16 weeks? This week, you will write your theoretical framework. For this section of your paper, you must specifically identify and address two independent theories or conceptual models that relate directly to your change project in addition to the Plan-Do-Study-Act (PDSA) cycle. Keep in mind that your theoretical framework provides the structure for your change project. Think of it as a frame for a new home that is being built. The framework is what guides and directs your change project. Basically, it will help make sense of your change project. Make sure to describe how you will apply these theories and models to your change project.
Sample Solution
ew populaces is then utilized in the follo Theoretical Framework wing cycle of the calculation that ends either when an acceptable degree of wellness has been achieved or when a most extreme number of age have been created in the populace. Of the writing checked on in this examination, a few explores [28,57,113,115,116,117,118,119] embraced the GAs based AI approach in finding the ideal size and site of DG units control dispersion frameworks, however Carpinelli et al. [113] didn’t streamline size in their work 2.2.2 Evolutionary Computation As indicated by Khajehzadeh et al. 2011 distinct sorts of developmental calculation based improvement strategies have been utilized Theoretical Framework to scan for ideal or close to ideal answers for ideal capacitor situation in spiral conveyance systems. These developmental calculation systems incorporate Tabu hunt (TS), reenacted tempering (SA), subterranean insect settlement improvement (ACO), agreement search (HS), hereditary calculation (GA), and molecule swarm streamlining (PSO). TS depends on the slope climbing strategy which assesses the last arrangement by rehashing the way toward making arrangement applicants in the area around the underlying arrangement and choosing the best arrangement among the up-and-comers (Eslami et al. 2011). The slope climbing technique stops if the arrangement isn’t improved and in this way it very well may be effectively caught in a nearby least (Mori et al. 2005). Ideal capacitor arrangement has been fathomed with a half and half strategy that uses TS and other heuristic methods, for example, hereditary calculation and recreated strengthening. (Gallego et al. 2001), Mori et al. (2005) applied a variable neighborhood TS procedure for capacitor arrangement in conveyance frameworks. An enhancement method that adventures the likeness between a minimization procedure and crystallization in a physical framework is reenacted tempering (SA). Ghose et al. (2003) applied SA for taking care of ideal capacitor position issue thinking about unbalance and the nearness of sounds in a dissemination framework. An adjusted SA procedure has been created for ideal position and estimating of fixed capacitor banks in a circulation arrange (Elmitwally Theoretical Framework 2011). Another streamlining procedure that is motivated by the conduct of ants in nature with the end goal that the ants can locate the briefest way from their home to nourishment is the insect province calculation (Eslami et al. 2011). Annaluru et al. (2004) applied the subterranean insect settlement calculation to illuminate the capacitor situation and measuring issue, in which the Newton-Raphson control stream technique was utilized to figure the cost capacity. Chang (2008) tackled the ideal capacitor situation issue, the ideal feeder reconfiguration issue, and a blend of the tw>
ew populaces is then utilized in th Theoretical Framework e following cycle of the calculation that ends either when an acceptable degree of wellness has been achieved or when a most extreme number of age have been created in the populace. Of the writing checked on in this examination, a few explores [28,57,113,115,116,117,118,119] embraced the GAs based AI approach in finding the ideal size and site of DG units control dispersion frameworks, however Carpinelli et al. [113] didn’t streamline size in their work 2.2.2 Evolutionary Computation As indicated by Khajehzadeh et al. 2011 distinct sorts of developmental calculation based improvement strategies have been utilized to scan for ideal or close to ideal answers for ideal capacitor situation in spiral conveyance systems. These developmental calculation systems incorporate Tabu hunt (TS), reenacted tempering (SA), subterranean insect settlement improvement (ACO), agreement search (HS), hereditary calculation (GA), and molecule swarm streamlining (PSO). TS depends on the slope climbing strategy which assesses the last arrangement by rehashing the way toward making arrangement applicants in the area around the underlying arrangement and choosing the best arrangement among the up-and-comers (Eslami et al. 2011). The slope climbing technique stops if the arrangement isn’t improved and in this way it very well may be effectively caught in a nearby least (Mori et al. 2005). Ideal capacitor arrangement has been fathomed with a half and half strategy that uses TS and other heuristic methods, for example, hereditary calculation and recreated strengthening. (Gallego et al. 2001), Mori et al. (2005) applied a variable neighborhood TS procedure for capacitor arrangement in conveyance frameworks. An enhancement method that adventures the liken Theoretical Framework ess between a minimization procedure and crystallization in a physical framework is reenacted tempering (SA). Ghose et al. (2003) applied SA for taking care of ideal capacitor position issue thinking about unbalance and the nearness of sounds in a dissemination framework. An adjusted SA procedure has been created for ideal position and estimating of fixed capacitor banks in a circulation arrange (Elmitwally 20 Theoretical Framework 11). Another streamlining procedure that is motivated by the conduct of ants in nature with the end goal that the ants can locate the briefest way from their home to nourishment is the insect province calculation (Eslami et al. 2011). Annaluru et al. (2004) applied the subterranean insect settlement calculation to illuminate the capacitor situation and measuring issue, in which the Newton-Raphson control stream technique was utilized to figure the cost capacity. Chang (2008) tackled the ideal capacitor situation issue, the ideal feeder reconfiguration issue, and a blend of the tw>
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