Gain is defined as the relationship between the magnitude of input to the magnitude of output when the system is at the steady-state condition. Gain can be large and small however higher gain and least gain will lead to an unstable system. Gain is simply we can say that it is the rate of the outcome if the output is two times the input gain is two and if the output is half the input the gain is 1/2. Take an example that is a difference between small-signal gain and large signal gain of the amplifier. During small gain, the output power of the amplifier is proportional to the input power that is linear. If the gain is increased beyond that the graph is no longer linear. Because every material has a saturation point. That is if we increase the value beyond its maximum capacity further increase in the gain won't increase the output. So higher gain is always having a saturated output. For a higher gain system, the system becomes noninvertible and nonlinear because the system reaches its saturated state. For lower gain system it is invertible and linear. Small gain system is better if there is a chance of notice in the input.Example: Interconnected systems
what would be an example of a small gain system? 3. Discuss the concept of gain...
3. Discuss the concept of viruses and cancer. Include the concept of certain viruses associated with certain cancers and give 3 examples with proper references and citation. Example 1 Example 2 Example 3 References
Question 3 Explain the concept of dividend policy with an example. Discuss the dividend irrelevance theory with underlying assumptions by Modigliani and Miller. Your parents prefer high dividend paying stocks, while you prefer no-dividend stocks – explain the possible reasons for the differences in choice. Explain the following concepts with an example; Signaling hypothesis Clientele effects Catering theory You are the CEO of “I am the top 1%” Corporation, which has a capital structure of 60% equity and 40% debt....
1. Discuss internal and external users of accounting information. What areas of accounting provide them with information? Give an example of the type of report each type of user might use. 2. Explain the meaning of the business entity concept. 3. What is the major difference between the objective of financial accounting and the objective of managerial accounting?
Define elasticity of demand and discuss the factors that affect elasticity Discuss the concept of AIDA and its relevance for marketers. Describe each stage of the product life cycle give an example for each
Discuss the concept of community based corrections, why they would be used and be able to give examples in your answer. Discuss the pros and cons of probation. What is the role of a probation officer?
discuss the three necessary conditions for causation. What is a correlation? What is the difference between a positive and negative correlation? Give an example of each. What is a correlation coefficient and what would be a perfect one numerically?
Give numerical example explaining the concept of Equivalent number of units. Discuss the advantages of using equivalent number f units?
what does the concept of "core competence" mean? why is this concept important? How would you determine if the information an organization "claims" as its core competence actually matches what they achieve? Provide an example where there is a match between core competence and organizational achievement. Discuss where you you obtain the information used to "test" the organization's ability to deliver on its core competence.
Describe three modes of ventilation and difference between them 1. Exlplain the concept of a Line Isolation Monitor and why it may be needed in an Operating room 2. List the four major Imaging modalities and differentiate between them as to the pros and cons of each system 3. Explain the components of a general x-ray machine 4. What are the three variables that impact x-ray?
What is an example of when you would want consistent data and, therefore, a small standard deviation? What is an example of when you might want a large standard deviation? That is, data that is more spread out?