group dynamics were such that we did not effectively utilize the resources we had‚ and consequently pooled a very limited amount of information. Rather than minimizing our risk‚ we increased it. I attribute much of our group’s failure at this simulation to process loss‚ which is defined as the problems that arise from lack of effective coordination among group members. A number of factors at play could explain the process loss which led to our counterintuitive results. First and foremost‚ one must
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FINANCE CAPITAL BUDGETING SIMULATION WORKSHEET Part III – Debrief Name: Group Members: INSTRUCTIONS: This worksheet debriefs the simulation and summarizes your key takeaways from the project and is to be completed on an individual basis. Complete the executive summary and answer all questions in this worksheet using the foreground reading and the financial data for the firm posted on the simulation website. Each discussion response should be complete and self-supporting (one-line responses are
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Simulation Reflective Journal Look back We were four in our group and we were given a scenario of a patient who was having an anaphylactic reaction from bee sting venom. The group agreed that I will be the primary nurse. As the primary nurse‚ I knew that I had to lead and supervised our group in responding to the emergency situation at hand. Having played the role of a primary nurse in this simulation‚ I have gained meaningful experience‚ which I can use in my future nursing practice
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Figure. 1 illustrates the device architecture of the simulated tapered FinFET and cross-section of the device. The 5nm node technology was used in this simulation. This is equal to effective gate length approximately equal to 10 nm [10]. In this simulation‚ the physical gate length (LG) of 9 nm are adopted. SiO2 and Si3N4 are considered as the gate oxide and spacer material‚ respectively. Fixed spacer length (LSP) of 7 nm was used. The doping concentrations are the source (1020 cm-3)‚ the drain (1020
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Liquidating Ratios: 1. Current Ratio: Current Assets/ Current Liabilities: 2009: 2008: 128‚867/ 23‚807 = 5.41:1 130‚026/8‚380 = 15.52:1 2. Quick Ratio: Cash and Cash Equivalents + Net Receivables/ Current Liabilities 2009: 2008: $22‚995 + 59‚787/ 23‚807 = 3.48 $41‚851 + 37‚666 /8‚380 = 9.49 3. Days Cash on Hand: Unrestricted cash and Cash Equivalents /Cash Operation Expenses ÷ No. of Days in Period (365)
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Introduction The world’s first all-optical notebook computer was launched in 2003 by Quasar. The Neutron is the result of revolutionary efforts by the company. The product processor and memory uses high-speed optical conductors that are five times the speed of existing microchip based companies. The Tata simulator exercise is an aid to decide which industry structure Quasar should use to increase profits‚ create competitive advantage and explores implications of each on business ventures. Market
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Morgan McIntosh 7/2/13 NT2640 Assignment 2: Network protocols numbers 1. What organization has been given the responsibility for assigning protocol numbers? ICANN – The Internet Corporation for Assigned Names and Numbers 2. Determine the protocol numbers for the protocol names: Protocol | Number | IPv4 | 4 | IPv6 | 41 | TCP | 6 | UDP | 17 | ICMP | 1 | VRRP | 112 | IPSEC ESP | 50 | L2TP | 115 | OSPF | 89 | EIGRP | 88 | 3. Determine the correct ICMP type based
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Contents Problem Definition and Goals 3 About the Bank 3 Logical Model 4 Data Gathering and Analysis 6 Arena Model Implementation 18 Step by Step implementation 18 Time Logic 18 Cutoff Logic 18 Verification and Validation 19 Prediction Function / Conclusion 23 Appendices 27 Appendix 1 : side Results 27 Problem Definition and Goals The purpose of this simulation to obtain important parameters of a bank queue‚ including bank information‚ queue length‚ waiting time in queue and expected
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April 2010 ‘The problems of Monte Carlo Simulation’ by David Nawrocki This article describes the problems associated with using the Monte Carlo Simulation Model as a tool for determining future investment outcomes for investors. The tool is widely used by Financial Advisors as a means of showing investors future returns on investments. The article discusses why the use of Monte Carlo Simulation in financial planning is difficult and can lead to incorrect decisions which can have a detrimental
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Innovation in Simulation & Artificial Intelligence Virtual Reality Reality has become Science Fiction because the reality most people agree upon to live in isn’t the entire picture of what’s going on. 2010 Institute of Business Administration Table of Contents Science of Intelligent Systems: 6 Results of Engineered Mind: 6 Limitations of Man: 7 Grand Challenges in Science and Technology 7 Modern Era Of Computer Technologies: 8 Innovation Starts from Computer Aided Design:
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