WOUND CARE CASE STUDY

Jun 21st, 2015
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Alabama State University
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Question 1. Interpret the impact of this wound on the client and his family: PSYCHOLOGICAL • Loss of independence due to the impact of wound • Inability to completely care for his dependent wife • Inability to manage his high set family home on his own • Socio-economic impact PSYCHOSOCIAL • Social isolation due to wound • Socio-economic impact PHYSICAL • Delayed wound healing due to Type 2 diabetes • Increase risk of infection because micro organisms thrive in a high glucose environment • Inability to perform activities of daily living independently due to wound • Decreased mobility due to wound FAMILY • Inability to complete care for his dependent wife • Inability to manage his high set family home on his own • Unable to care for his wife and family home due to socio-economic circumstances

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Cellular automatonhttp://en.wikipedia.org/wiki/Cell_games_(cellular_automaton)From Wikipedia, the free encyclopedia(Redirected from Cell games (cellular automaton))Jump to: navigation, search Gosper's Glider Gun creating "gliders" in the cellular automaton Conway's Game of Life[1]A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computability theory, mathematics, physics, complexity science, theoretical biology and microstructure modeling. Cellular automata are also called cellular spaces, tessellation automata, homogeneous structures, cellular structures, tessellation structures, and iterative arrays.[2]A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood (usually including the cell itself) is defined relative to the specified cell. An initial state (time t=0) is selected by assigning a state for each cell. A new generation is created (advancing t by 1), according to some fixed rule (generally, a mathematical function) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though e

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