...ANATOMY AND PHYSIOLOGY P2, P3 4/27/2015 Khadra Ali | P1 – Outline the functions of the main cell components The human body is made up of millions of tiny cells that can only be seen under a microscope, cell also vary in shape and size. Cells are the basic structural of all living things. The human body is poised of trillions of cells. They give structure for the body, take in nutrients from food, convert those nutrients into energy, and carry out specialized functions. Cells also contain the body’s hereditary material and can make copies of them. Cells all have different sizes, shapes, and jobs to do. Each cell has a different function. The actual definition of cells is the smallest structural unit of the body that is capable of independent functioning, it consisting of one or more nuclei; it has a cytoplasm, and various organelles which are all surrounded by a cell membrane. There are four main parts to a cell; Plasma/Cell membrane, Cytoplasm, Nucleus and Cell Organelles. Plasma/Cell membrane: The plasma/cell membrane is a phospho-lipid-protein bi-layer; the lipids are small fatty molecules in two layers (bi-layer) with larger protein molecules inserted at intervals partly or completely through the bi-layer. The lipid molecules are phospholipids, the two lipid chains are insoluble in water and the phosphate head is water soluble. The fluid which surrounds the cells and the cytoplasm are watery environments next to the phosphate heads. Protein molecules create channels...
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...The resources can be categorized into physical and logical resources. The physical resources are printer, disk drive, cpu, memory, scanner etc. The logical resources are files. • Deadlock is more serious than indefinite postponement or starvation because it affects more than one job. • Because resources are being tied up, the entire system (not just a few programs) is affected. • Requires outside intervention (e.g., operators or users terminate a job) to resolved the deadlock. 2. Seven Cases of Deadlocks Case 1 Deadlocks on file requests Case 2 Deadlocks in databases Case 3 Deadlocks in dedicated device allocation Case 4 Deadlocks in multiple device allocation Case 5 Deadlocks in spooling Case 7 Deadlocks in disk sharing Case 8 Deadlocks in a network Case 1: Deadlocks on File Requests | |If jobs can request and hold files for duration of their | | |execution, deadlock can occur. | | | | | |Any other programs that require F1 or F2 are...
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...1 The Market 4 2 Budget Constraint 8 3 Preferences 10 4 Utility 14 5 Choice 18 6 Demand 24 7 Revealed Preference 27 8 Slutsky Equation 30 9 Buying and Selling 33 10 Intertemporal Choice 37 12 Uncertainty 39 14 Consumer Surplus 43 15 Market Demand 46 18 Technology 48 19 Profit Maximization 52 20 Cost Minimization 54 21 Cost Curves 57 22 Firm Supply 59 23 Industry Supply 62 24 Monopoly 64 2 25 Monopoly Behavior 67 26 Factor Market 72 27 Oligopoly 76 28 Game Theory 80 30 Exchange 85 3 Ch. 1. The Market I. Economic model: A simplified representation of reality A. An example – Rental apartment market in Shinchon: Object of our analysis – Price of apt. in Shinchon: Endogenous variable – Price of apt. in other areas: Exogenous variable – Simplification: All (nearby) Apts are identical B. We ask – How the quantity and price are determined in a given allocation mechanism – How to compare the allocations resulting from different allocation mechanisms II. Two principles of economics – Optimization principle: Each economic agent maximizes its objective (e.g. utility, profit, etc.) – Equilibrium principle: Economic agents’ actions must be consistent with each other III. Competitive market A. Demand – Tow consumers with a single-unit demand whose WTP’s are equal to r1 and r2 (r1 < r2 ) p r2 r1 1 2 – Many people ...
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...Chapter 6: CPU Scheduling • • • Basic Concepts Scheduling Criteria Scheduling Algorithms Operating System Concepts 6.1 Basic Concepts • Maximum CPU utilization obtained with multiprogramming. • CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait. – Example: Alternating Sequence of CPU And I/O Bursts – In an I/O – bound program would have many very short CPU bursts. – In a CPU – bound program would have a few very long CPU bursts. Operating System Concepts 6.2 1 CPU Scheduler • The CPU scheduler (short-term scheduler) selects from among the processes in memory that are ready to execute, and allocates the CPU to one of them. • A ready queue may be implemented as a FIFO queue, priority queue, a tree, or an unordered linked list. • CPU scheduling decisions may take place when a process: 1. Switches from running to waiting state (ex., I/O request). 2. Switches from running to ready state (ex., Interrupts occur). 3. Switches from waiting to ready state (ex., Completion of I/O). 4. Terminates. • Scheduling under 1 and 4 is nonpreemptive; otherwise is called preemptive. • Under nonpreemptive scheduling, once the CPU has been allocated to a process, the process keeps the CPU until it releases the CPU either by terminating or by switching to the waiting state. Operating System Concepts 6.3 Dispatcher • Dispatcher module gives control of the CPU to the process selected by the short-term scheduler;...
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...Price Elasticity of Demand Example Questions Review: First, a quick review of Price Elasticity of Demand from lecture on 02/19/09. The definition, of Price Elasticity of Demand (PED) is: Price Elasticity of Demand = Percentage Change in Quantity Demanded = %ΔQD Percentage Change in Price %ΔP In order to calculate the PED we need two points on the demand curve, (QD1 , P1 ) and (QD2 , P2 ) . We use the midpoint formula, so: QD2 − QD1 ⎛ QD2 ⎜ ⎜ PED = ⎝ P2 ⎛ P2 ⎜ ⎝ + QD1 ⎞ ⎟ ⎟ 2 ⎠ − P1 + P1 ⎞ ⎟ 2 ⎠ Once we have calculated the PED between two points on the demand curve, we can say if demand between those points is “elastic,” “inelastic” or “unit elastic”: • • • Demand is “elastic” at a certain point if PED < -1 Demand is “inelastic” at a certain point if 0 > PED > -1 Demand is “unit elastic” at a certain point if PED = -1 There are a number of factors that can determine if a demand curve will be more elastic, or more inelastic (we will talk more about these factors on Tuesday, 02/24/09): Four Factors Affecting PED: 1. 2. 3. 4. Availability of close substitutes Necessities vs. luxuries Definition of Market Amount of time 1 When calculating different elasticities it is very important to keep in mind, what information you need to calculate a certain elasticity and what information you have available. Also, sometimes there is information that is not relevant to certain elasticities. Be sure you are aware of what information is necessary and what information...
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...Portfolio Modeling and Evaluation: Beating the Market ABSTRACT During the period of 2005 to 2010, the market portfolio (P1) and one suggested portfolio (P3) post a positive absolute return of 0.80% and 0.82% respectively which underperformed the active fund portfolio (P2) 0.91%. This report follows various modeling methods in order to back test the performance of the active fund portfolio and compare its performance with that of two other portfolios. The findings indicate that, even though P2 achieves the highest return on the overall performance, the limitations such as the macro environment, the assumptions set, and the Shrinkage method used that accidentally downsizes some valuable stocks in out-‐samples as they are closely correlated are being ignored. By contrast, P3 will probably offer a “middle-‐choice” which will bring a promising and more stable return. 1 Portfolio...
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...Case Studies 1. SOLUTION TO STARTING RIGHT CASE, CH. 3, PAGE 110 This is a decision-making-under-uncertainty case. There are two events: a favorable market (event 1) and an unfavorable market (event 2). There are four alternatives, which include do nothing (alternative 1), invest in corporate bonds (alternative 2), invest in preferred stock (alternative 3), and invest in common stock (alternative 4). The decision table is presented. Note that for alternative 2, the return in a good market is $30,000 (1 + 0.13)5 = $55,273. The return in a good market is $120,000, (4 x $30,000) for alternative 3, and $240,000, (8 x $30,000) for alternative 4. Payoff table Laplace Event 1 Alternativ e1 Alternativ e2 Alternativ e3 Alternativ e4 0 55,273 Event 2 0 – 10,00 0 – 15,00 0 – 30,00 0 Average Value 0.0 22,636.5 Minimu m 0 – 10,000 – 15,000 – 30,000 Maximu m 0 55,273 Hurwicz Value 0.00 – 2,819.9 7 –150.00 120,00 0 240,00 0 52,500.0 120,000 105,000. 0 240,000 –300.00 Regret table Maximum Alternative Alternative 1 Alternative 2 Alternative 3 Alternative 4 Event 1 240,000 184,727 120,000 0 Event 2 0 10,000 15,000 30,000 Regret 240,000 184,727 120,000 30,000 a. Sue Pansky is a risk avoider and should use the maximin decision approach. She should do nothing and not make an investment in Starting Right. b. Ray Cahn should use a coefficient of realism of 0.11. The best decision is to do nothing. c. Lila Battle should eliminate alternative 1 of doing nothing and apply the maximin...
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...CHAPTER 4 SI UNIT PROBLEMS SOLUTION MANUAL SONNTAG • BORGNAKKE • VAN WYLEN FUNDAMENTALS of Thermodynamics Sixth Edition Sonntag, Borgnakke and van Wylen CONTENT SUBSECTION Correspondence table Concept problems Force displacement work Boundary work: simple one-step process Polytropic process Boundary work: multistep process Other types of work and general concepts Rates of work Heat transfer rates Review problems English unit concept problems English unit problems PROB NO. 1-19 20-30 31-46 47-58 59-70 71-81 82-94 95-105 106-116 117-122 123-143 Sonntag, Borgnakke and van Wylen CHAPTER 4 6 ed. CORRESPONDANCE TABLE The new problem set relative to the problems in the fifth edition. New 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 5th 1 2mod new New New 3 4 new New new New New 18 27 new new 5 new New 13 new new New New New 22 45 mod 8 12 14 New New New New 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 5th new 19 20 33 mod 37 36 15 30 6 New 32 7 9 34 10 New New 26 39 New 40 New New New New 58 59 60 61 New New New New New 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 5th new new new 43 new New new new New 47 HT 48 HT 49 HT 50 HT mod 51 HT mod 52 HT 53 HT 54 HT 55 HT 56 HT 57 HT 31 mod 11 16 17 23 21 mod 28 29 24 44 35 th Sonntag, Borgnakke and van Wylen The English unit problem set is...
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...is lower than that of its trading partner. 1.1 Technology and markets The Ricardian model assumes that production uses only 1 input (labor), with constant returns to scale. This assumption means that the technology in each country and each sector is entirely determined by the labor requirement per unit of output. The other assumptions are that (a) labor moves freely between sectors within a country, but (b) labor cannot move between countries. Assumption (a) implies that in a particular country, the wage must be the same in both sectors; assumption (b) means that the wage need not be the same (and typically is not the same) in the two countries. In addition, all agents are price takers, i.e. there is perfect competition. In my example, the unit labor requirements are unit labor requirement Corn (good 1) US Canada au = 1 1 Umbrellas (good 2) au = 1 2 ac = 3 ac = 6 1 2 Table 1, Labor requirements 1 (Corn is good 1, umbrellas are good 2. Subscripts indicate commodity, superscripts indicate country.) I assume that both goods require one unit of labor to produce one unit of output in the US. This assumption is without loss of generality; it merely amounts to a choice of units....
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...Managing New, Remanufactured and Upgraded Products under a Coupon Recycling Environment Xian LI1 , Jihong ZHANG1,† , Xiaosong DING1 , Xiaodong YANG1 1 International Business School Beijing Foreign Studies University Beijing, People’s Republic of China, 100089 † corresponding author: zhangjihong@bfsu.edu.cn Abstract—We consider a two-period production and pricing model under a coupon recycling environment, in which a monopolistic manufacturer is able to produce and sell new, remanufactured and upgraded products simultaneously in the market. To attract consumers to return used products and promote the sale of upgraded products, the manufacturer offers coupons in the recycling process. We focus on the competition between different kinds of products and analyze the manufacturer’s optimal production and pricing strategies as well as the effect of coupons on them. Keywords—remanufacturing; pricing strategy; cost; coupon I. I NTRODUCTION With the advancing high-technology and exacerbation in global economic competition, more and more electronic products possess a very short lifespan prior to becoming outdated. For example, electronic products including mobile phones, MP3-players, digital cameras, tablets and laptops often have a lifespan being no more than one year. In the meanwhile, the shortage in global resources and deterioration of ecological environment makes remanufacturing a popular alternative to the sustainable development of many electronic...
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...Case Studies 1. SOLUTION TO STARTING RIGHT CASE, CH. 3, PAGE 110 This is a decision-making-under-uncertainty case. There are two events: a favorable market (event 1) and an unfavorable market (event 2). There are four alternatives, which include do nothing (alternative 1), invest in corporate bonds (alternative 2), invest in preferred stock (alternative 3), and invest in common stock (alternative 4). The decision table is presented. Note that for alternative 2, the return in a good market is $30,000 (1 + 0.13)5 = $55,273. The return in a good market is $120,000, (4 x $30,000) for alternative 3, and $240,000, (8 x $30,000) for alternative 4. Payoff table Laplace Hurwicz Event 1 Event 2 Average Value Minimu m Maximu m Value Alternativ e1 0 0 0.0 0 0 0.00 Alternativ e2 55,273 – 10,00 0 22,636.5 – 10,000 55,273 – 2,819.9 7 Alternativ e3 120,00 0 – 15,00 0 52,500.0 – 15,000 120,000 –150.00 Alternativ e4 240,00 0 – 30,00 0 105,000. 0 – 30,000 240,000 –300.00 Regret table Maximum Alternative Event 1 Event 2 Regret Alternative 1 240,000 0 240,000 Alternative 2 184,727 10,000 184,727 Alternative 3 120,000 15,000 120,000 Alternative 4 0 30,000 30,000 a. Sue Pansky is a risk avoider and should use the maximin decision approach. She should do nothing and not make an investment in Starting...
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...Lecture 1: Introduction 1 Optimization Problems We start with the utility maximization problem commonly seen in intermediate microeconomics. Example 1.1. Denote I a consumer’ monetary income, p1 and p2 the prices of two goods, s and x1 and x2 for their quantities. The budget set of the consumer is B = f(x1 ; x2 ) : p1 x1 + p2 x2 Ig: 1 where D X is the constraint set. The minimization problem can be de…ned similarly. f (x) have the same set of solutions, Theorem 1.1. The problems maxx2D f (x) and minx2D so do minx2D f (x) and maxx2D Proof. Note that f (x) f (x). f (y) for all y 2 D is equivalent to f (x) f (y) for all y 2 D. Given this result, we can focus on how to solve maximization problems. 2 More examples Economics studies how to make the best use of allocation of scarece resources, translated in mathematical terms, it studies various optimization problems under constraints. 2.1 Expenditure minimization This is the ‡ side of the utility maximization problem. It studies how to sustain a certain ip utility level with the lowest expense. With the usual notation, the problem can be written as min p x; s.t. u(x) u: 2.2 Pro…t maximization Let x be the inputs of a production function f (x); let the price of the inputs be w, and the price of good be p(f (x)); then the pro…t maximization problem can be formulated as max p(f (x))f (x) w x, s.t. x 2 Rn . 2 2.3 Cost minimization Similarly, the cost...
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...your signature. Assignments without it, will not be checked. Download it from http://zulfiqar.8m.com. 2. Late submission policy: deduction @ of 10% of total marks per day. Problem Statements: 1. Vectors Given vertices P1 = (1, 1, 0), P2 = (1, 0, 2), and P3 = (3, 2, 0) of a triangle T, counter clock wise around the normal. a. Find vector u from P1 to P2 b. Find vector v from P1 to P3 c. (u+v).(u-v) d. (u+v)×(u-v) e. the length of u f. the vector 3 times longer than u g. the unit vector of u h. the angle between u & v i. the length of projection of u on v j. compute the normal to T k. compute the area of T 2. Matrices Let A = 123404212, B= 213114330 a. Compute C = AB b. Does AB = BA? c. Given the vector u from previous question, find Au d. Given the vector v from previous question, find vTA 3. Frames Express point P in each of the given coordinate frames.P i o F1 i j o F2 j i o F3 j i o F4 j i o F5 j P i o F1 i j o F2 j i o F3 j i o F4 j i o F5 j 4. Segments & Lines Given P1(1, 2, 3) and P2(5, 5, 5). a. Find a line in parametric form using parameter t starting from P1 and ending at P2 b. Compute...
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...CPU SCHEDULINGCPU scheduling in UNIX is designed to benefit interactive processes. Processes are given small CPU time slices by a priority algorithm that reduces to round-robin scheduling for CPU-bound jobs.The scheduler on UNIX system belongs to the general class of operating system schedulers known as round robin with multilevel feedback which means that the kernel allocates the CPU time to a process for small time slice, preempts a process that exceeds its time slice and feed it back into one of several priority queues. A process may need much iteration through the "feedback loop" before it finishes. When kernel does a context switch and restores the context of a process. The process resumes execution from the point where it had been suspended.Each process table entry contains a priority field. There is a process table for each process which contains a priority field for process scheduling. The priority of a process is lower if they have recently used the CPU and vice versa.The more CPU time a process accumulates, the lower (more positive) its priority becomes, and vice versa, so there is negative feedback in CPU scheduling and it is difficult for a single process to take all the CPU time. Process aging is employed to prevent starvation.Older UNIX systems used a 1-second quantum for the round- robin scheduling. 4.33SD reschedules processes every 0.1 second and recomputed priorities every second. The round-robin scheduling is accomplished by the -time-out mechanism, which tells...
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...relationships to remember when working with logarithms are: 1. y = 10x then log10 ( y ) = x 2. log ( xy ) = log ( x ) + log ( y ) ⎛x⎞ 3. log ⎜ ⎟ = log ( x ) − log ( y ) ⎝ y⎠ ( ) 4. 10 log x n = n10 log( x ) Intensity Level In the last lesson, we defined the time average intensity in relation to the time average or rms pressure as well as the maximum acoustic pressure. p2 p2 I = = max 2ρc ρc The intensity is a useful quantity because it quantifies the power in an acoustic wave, but because of the large variation in magnitudes of Intensity, it is more useful to use logarithms to compare intensities. The below table demonstrates the wide variation in Intensity for typical sounds in air. We will start by defining a new quantity, L, the intensity level, which has units of dB. I L ≡ 10 log I0 where: is the time average intensity of the sound wave. I0 is the reference level used for comparison purposes. 3-1 Source Intensity (W/m2) Intensity Level (dB) Jet Plane 100 140 Pain Threshold 1 120 Siren 1x10-2 100 Busy Traffic 1x10-5 70 Conversation 3x10-6 65 Whisper 1x10-10 20 Rustle of leaves 1x10-11 10 Hearing Threshold 1x10-12 1 The reference intensity in air is typically 1 x 10-12 W/m2. Using this simple...
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