Monday, August 19, 2019
Analytical Evaluation of Freud Essay -- essays research papers
Based on the past information and the information I acquired during the duration of this course I chose to do my evaluation on Erik Erikson using the classical psychoanalysis of Sigmund Freud and Carl Rogers using the non-Freudian / interpersonal approach from Adler and Jung. Since there is no way to tell if either theory is right or wrong it is imperative that we discover our own theory among the popular ones and derive our own method of practice based on our current knowledge. This is done by comparing and evaluating each psychologist and their own theories to derive a common ground among each of them. In response to Erik Erikson and his approach on ego psychology he was an insecure child growing up who had problems with identity confusion. According to Freud and the classical psychoanalysis, this could possibly be a reflection of his Oedipus complex in where he can not identify with his father nor can he get close to his mother. Since he is dealing with his own confusion of his own identity he can no longer have feelings of closeness with either parent causing him to feel abandoned. His father abandoned him at an early age and so he never had that feeling of closeness with his father. Being as though he did not have that male role during his growing up he can not feel that sense of love coming from either parent which caused him to come up with the ego identity model in his own practices. Freud didn't exactly invent the idea of the conscious versus unconscious mind, but he certainly was responsible for making it popular. The conscious mind is what you are aware of at any particular moment, your present perceptions, memories, thoughts, fantasies, feelings, what have you. Working closely with the conscious mind is what Freud called the preconscious, what we might today call "available memory:" anything that can easily be made conscious, the memories you are not at the moment thinking about but can readily bring to mind. Now no-one has a problem with these two layers of mind. But Freud suggested that these are the smallest parts! Freud created a sense of super ego where you internalize the parental standards, ideas, and prohibitions. Since Erikson had no parents to identify with his sense of standards were nonexistent. He had a feeling of inferiority in rel... ...p; Obviously, everyone suffers from inferiority in one form or another. For example, Adler began his theoretical work considering organ inferiority, that is, the fact that each of us has weaker, as well as stronger, parts of our anatomy or physiology. Some of us are born with heart murmurs, or develop heart problems early in life; Some have weak lungs, or kidneys, or early liver problems; Some of us stutter or lisp; Some have diabetes, or asthma, or polio; Some have weak eyes, or poor hearing, or a poor musculature; Some of us have innate tendencies to being heavy, others to being skinny; Some of us are retarded, some of us are deformed; Some of us are terribly tall or terribly short; And so on and so on. Both Erikson and Rogers possessed different qualities that can be attributed to other psychologists to evaluate themselves and their performance in the world of psychology. Each different theorist created a different contribution to psychology and neither one is right or wrong. It is up to each individual person to create their own image of what is right or wrong and what they want to teach in their lives and use in their every day life.
Sunday, August 18, 2019
Ian Crichton Smith :: essays research papers
Grief is a state of powerful emotion, when friends and relatives are plagued with guilt and regret over unspoken words and wasted moments. This is the emotive basis for the powerful poem 'You'll take a bath' by Scot's poet Iain Crichton Smith. Throughout the poem Crichton Smith successfully creates a haunting portrayal of his guilt-laden grief over his mother's final years and the role he played in her neglect. This neglect is evident in the vivid image of his mother's home combined with her frailty. Crichton Smith adds to this his own role in failing to rescue her and subsequently emphasises the extent to which he is plagued by regret. à à à à à The poem is divided into three stanzas, the first dealing with Smith's memories of the past when his mother was alive; whilst the remaining two explore the present. The first stanza, dealing with the past, is twice as long as the remaining two. It may therefore be assumed that Crichton Smith uses the structure to reflect the fact that to him the past seems more substantial or dominant than the present. à à à à à Crichton Smith initially uses the first stanza to convey then threatening nature of his mothers tenement home, referring to: à à à à à 'the second turning of the stony stair.' At this point, Crichton Smith effectively employs alliteration on the words 'stony' and 'stair.' Using harsh sounds to emphasise the harsh nature of the place. In addition to this the poet also uses the phrase 'stony stair.' Which also has double meaning - referring both to the cold hard stone and also to threatening looks from other inhabitants. Furthermore we are told that this cold harsh location had been vandalised. The phrase à à à à à 'graffiti were black letters in a book.' The word choice of 'were' used out of context emphasises the volume of vandalism .This is supported by the effective imagery of 'letters in a book' suggesting that the graffiti covered the wall from top to bottom as in 'a book.'. Crichton Smith adds to the sense of menace by describing the writing a 'misspelt and menacing'. At this point, the poet employs words which have connotations of threatening ignorance. Such techniques are successfully combined to convey an image of a place that is both harsh and threatening. à à à à à The concept of the malign nature of the tenement is developed throughout the first stanza with Crichton Smith exploring his own role in his mother's confinement. He tells the reader that whilst he drove away, his mother would 'wave from the window.
Alchemy :: essays research papers
Alchemy, ancient art practiced especially in the Middle Ages, devoted chiefly to discovering a substance that would transmute the more common metals into gold or silver and to finding a means of indefinitely prolonging human life. Although its purposes and techniques were dubious and often illusory, alchemy was in many ways the predecessor of modern science, especially the science of chemistry. The birthplace of alchemy was ancient Egypt, where, in Alexandria, it began to flourish in the Hellenistic period; simultaneously, a school of alchemy was developing in China. The writings of some of the early Greek philosophers might be considered to contain the first chemical theories; and the theory advanced in the 5th century BC by Empedoclesââ¬âthat all things are composed of air, earth, fire, and waterââ¬âwas influential in alchemy. The Roman emperor Caligula is said to have instituted experiments for producing gold from orpiment, a sulfide of arsenic, and the emperor Diocletian is said to have ordered all Egyptian works concerning the chemistry of gold and silver to be burned in order to stop such experiments. Zosimus the Theban (about AD 250-300) discovered that sulfuric acid is a solvent of metals, and he liberated oxygen from the red oxide of mercury. The fundamental concept of alchemy stemmed from the Aristotelian doctrine that all things tend to reach perfection. Because other metals were thought to be less "perfect" than gold, it was reasonable to assume that nature formed gold out of other metals deep within the earth and that with sufficient skill and diligence an artisan could duplicate this process in the workshop. Efforts toward this goal were empirical and practical at first, but by the 4th century AD, astrology, magic, and ritual had begun to gain prominence. A school of pharmacy flourished in Arabia during the caliphates of the Abbasids from 750 to 1258. The earliest known work of this school is the Summa Perfectionis (Summit of Perfection), attributed to the Arabian scientist and philosopher Geber; the work is consequently the oldest book on chemistry proper in the world and is a collection of all that was then known and believed. The Arabian alchemists worked with gold and mercury, arsenic and sulfur, and salts and acids, and they became familiar with a wide range of what are now called chemical reagents. They believed that metals are compound bodies, made up of mercury and sulfur in different proportions. Their scientific creed was the potentiality of transmutation, and their methods were mostly blind gropings; yet, in this way, they found many new substances and invented many useful processes. >From the Arabs, alchemy generally found its way through Spain into Europe.
Saturday, August 17, 2019
Queuing Theory
Waiting Line Models ? ? ? ? ? ? ? ? The Structure of a Waiting Line System Queuing Systems Queuing System Input Characteristics Queuing System Operating Characteristics Analytical Formulas Single-Channel Waiting Line Model with Poisson Arrivals and Exponential Service Times Multiple-Channel Waiting Line Model with Poisson Arrivals and Exponential Service Times Economic Analysis of Waiting Lines Slide 1 Structure of a Waiting Line System ? ? Queuing theory is the study of waiting lines. Four characteristics of a queuing system are: â⬠¢the manner in which customers arrive â⬠¢the time required for service the priority determining the order of service â⬠¢the number and configuration of servers in the system. Slide 2 Structure of a Waiting Line System ? ? Distribution of Arrivals â⬠¢Generally, the arrival of customers into the system is a random event. â⬠¢Frequently the arrival pattern is modeled as a Poisson process. Distribution of Service Times â⬠¢Service time i s also usually a random variable. â⬠¢A distribution commonly used to describe service time is the exponential distribution. Slide 3 Structure of a Waiting Line System ? Queue Discipline â⬠¢Most common queue discipline is first come, first served (FCFS). An elevator is an example of last come, first served (LCFS) queue discipline. â⬠¢Other disciplines assign priorities to the waiting units and then serve the unit with the highest priority first. Slide 4 Structure of a Waiting Line System ? Single Service Channel Customer arrives ? Waiting line Multiple Service Channels System S1 Customer leaves System S1 Customer arrives Waiting line S2 Customer leaves S3 Slide 5 Examples of Internal Service Systems That Are Queueing Systems Type of System Customers Server(s) Secretarial services Employees Secretary Copying services Employees Copy machine Computer programming servicesEmployees Programmer Mainframe computer Employees Computer First-aid center Employees Nurse Faxing service s Employees Fax machine Materials-handling system Loads Materials-handling unit Maintenance system Machines Repair crew Inspection station Items Inspector Production system Jobs Machine Semiautomatic machines Machines Operator Tool crib Machine Clerk Slide 6 Examples of Transportation Service Systems That Are Queueing Systems Type of System Customers Server(s) Highway tollbooth Cars Cashier Truck loading dock Trucks Loading crew Port unloading area Ships Unloading crew Airplanes waiting to take off Airplanes RunwayAirplanes waiting to land Airplanes Runway Airline service People Airplane Taxicab service People Taxicab Elevator service People Elevator Fire department Fires Fire truck Parking lot Cars Parking space Ambulance service People Ambulance Slide 7 Queuing Systems ? ? ? ? A three part code of the form A/B/k is used to describe various queuing systems. A identifies the arrival distribution, B the service (departure) distribution and k the number of channels for the system. Sym bols used for the arrival and service processes are: M ââ¬â Markov distributions (Poisson/exponential), D ââ¬â Deterministic (constant) and G ââ¬â General istribution (with a known mean and variance). For example, M/M/k refers to a system in which arrivals occur according to a Poisson distribution, service times follow an exponential distribution and there are k servers working at identical service rates. Slide 8 Queuing System Input Characteristics = 1/? = à µ= 1/à µ = = the average arrival rate the average time between arrivals the average service rate for each server the average service time the standard deviation of the service time Slide 9 Queuing System Operating Characteristics P0 = Pn = Pw = Lq = probability the service facility is idle robability of n units in the system probability an arriving unit must wait for service average number of units in the queue awaiting service L = average number of units in the system Wq = average time a unit spends in the queu e awaiting service W = average time a unit spends in the system Slide 10 Analytical Formulas ? ? For nearly all queuing systems, there is a relationship between the average time a unit spends in the system or queue and the average number of units in the system or queue. These relationships, known as Little's flow equations are: L = ? W and Lq = ? Wq Slide 11 Analytical Formulas ? ?When the queue discipline is FCFS, analytical formulas have been derived for several different queuing models including the following: â⬠¢M/M/1 â⬠¢M/M/k â⬠¢M/G/1 â⬠¢M/G/k with blocked customers cleared â⬠¢M/M/1 with a finite calling population Analytical formulas are not available for all possible queuing systems. In this event, insights may be gained through a simulation of the system. Slide 12 M/M/1 Queuing System ? ? ? ? ? ? Single channel Poisson arrival-rate distribution Exponential service-time distribution Unlimited maximum queue length Infinite calling population Examples: â⬠¢Single-window theatre ticket sales booth Single-scanner airport security station Slide 13 Notation for Single-Server Queueing Models ? ? = Mean arrival rate for customers = Expected number of arrivals per unit time 1/? = expected interarrival time ? m = Mean service rate (for a continuously busy server) = Expected number of service completions per unit time 1/m = expected service time ? r = the utilization factor = the average fraction of time that a server is busy serving customers = /? m Slide 14 ? Assumptions 1. Interarrival times have an exponential distribution with a mean of 1/?. 2. Service times have an exponential distribution with a ean of 1/m. 3. The queueing system has one server. â⬠¢ The expected number of customers in the system is L = r? /? (1 ââ¬â? r) = /? (m? ââ¬â ? )? â⬠¢ The expected waiting time in the system is W = (1 / ? )L = 1 / (m ââ¬â ? ) â⬠¢ The expected waiting time in the queue is Wq = W ââ¬â 1/m = ? / [m(m ââ¬â ? )] â⠬ ¢ The expected number of customers in the queue is Lq = ? Wq = ? 2 / [m(m ââ¬â ? )] = r2 / (1 ââ¬â r) Slide 15 ? The probability of having exactly n customers in the system is Pn = (1 ââ¬â r)rn Thus, P0 = 1 ââ¬â r P1 = (1 ââ¬â r)r P2 = (1 ââ¬â r)r2 : : ? The probability that the waiting time in the system exceeds t is P(W ; t) = eââ¬âm(1ââ¬âr)t for t ? ? The probability that the waiting time in the queue exceeds t is P(Wq ; t) = reââ¬âm(1ââ¬âr)t for t ? 0 Slide 16 Problem: ? Consider the situation where the mean arrival rate is one customer every 4 minutes and the mean service time is 2. 5 minutes. Calculate the following â⬠¢Average no. of customer in the system â⬠¢Average queue length â⬠¢Average time a customer spends in the system â⬠¢Average time a customer waits before being served. Slide 17 Problem: ? ? ? Arrivals at a telephone booth are considered to be Poisson, with an average time of 10 minutes between one arrival an d the next. The length of a phone call is ssumed to be exponentially distributed with mean 3 minutes. What is the probability that a person arriving at the booth will have to wait? The telephone department will install a second booth when convinced that an arrival would expect to have to wait at least three minutes for the phone. By how much must the flow of arrivals be increased in order to justify a second booth? Slide 18 Example: SJJT, Inc. (A) ? M/M/1 Queuing System Joe Ferris is a stock trader on the floor of the New York Stock Exchange for the firm of Smith, Jones, Johnson, and Thomas, Inc. Stock transactions arrive at a mean rate of 20 per hour.Each order received by Joe requires an average of two minutes to process. Orders arrive at a mean rate of 20 per hour or one order every 3 minutes. Therefore, in a 15 minute interval the average number of orders arriving will be ? = 15/3 = 5. Slide 19 Example: SJJT, Inc. (A) ? Arrival Rate Distribution Question What is the probability that no orders are received within a 15-minute period? Answer P (x = 0) = (50e -5)/0! = e -5 = .0067 Slide 20 Example: SJJT, Inc. (A) ? Arrival Rate Distribution Question What is the probability that exactly 3 orders are received within a 15-minute period? Answer P (x = 3) = (53e -5)/3! 125(. 0067)/6 = . 1396 Slide 21 Example: SJJT, Inc. (A) ? Arrival Rate Distribution Question What is the probability that more than 6 orders arrive within a 15-minute period? Answer P (x ; 6) = 1 ââ¬â P (x = 0) ââ¬â P (x = 1) ââ¬â P (x = 2) ââ¬â P (x = 3) ââ¬â P (x = 4) ââ¬â P (x = 5) ââ¬â P (x = 6) = 1 ââ¬â . 762 = . 238 Slide 22 Example: SJJT, Inc. (A) ? Service Rate Distribution Question What is the mean service rate per hour? Answer Since Joe Ferris can process an order in an average time of 2 minutes (= 2/60 hr. ), then the mean service rate, à µ, is à µ = 1/(mean service time), or 60/2. m = 30/hr. Slide 23 Example: SJJT, Inc. (A) ?Service Time Distribution Ques tion What percentage of the orders will take less than one minute to process? Answer Since the units are expressed in hours, P (T ; 1 minute) = P (T ; 1/60 hour). Using the exponential distribution, P (T ; t ) = 1 ââ¬â e-à µt. Hence, P (T ; 1/60) = 1 ââ¬â e-30(1/60) = 1 ââ¬â . 6065 = . 3935 = 39. 35% Slide 24 Example: SJJT, Inc. (A) ? Service Time Distribution Question What percentage of the orders will be processed in exactly 3 minutes? Answer Since the exponential distribution is a continuous distribution, the probability a service time exactly equals any specific value is 0 . Slide 25Example: SJJT, Inc. (A) ? Service Time Distribution Question What percentage of the orders will require more than 3 minutes to process? Answer The percentage of orders requiring more than 3 minutes to process is: P (T ; 3/60) = e-30(3/60) = e -1. 5 = . 2231 = 22. 31% Slide 26 Example: SJJT, Inc. (A) ? Average Time in the System Question What is the average time an order must wait from th e time Joe receives the order until it is finished being processed (i. e. its turnaround time)? Answer This is an M/M/1 queue with ? = 20 per hour and m = 30 per hour. The average time an order waits in the system is: W = 1/(à µ ââ¬â ? ) 1/(30 ââ¬â 20) = 1/10 hour or 6 minutes Slide 27 Example: SJJT, Inc. (A) ? Average Length of Queue Question What is the average number of orders Joe has waiting to be processed? Answer Average number of orders waiting in the queue is: Lq = ? 2/[à µ(à µ ââ¬â ? )] = (20)2/[(30)(30-20)] = 400/300 = 4/3 Slide 28 Example: SJJT, Inc. (A) ? Utilization Factor Question What percentage of the time is Joe processing orders? Answer The percentage of time Joe is processing orders is equivalent to the utilization factor, ? /m. Thus, the percentage of time he is processing orders is: ?/m = 20/30 = 2/3 or 66. 67% Slide 29 Example: SJJT, Inc. A) Solution ? 1 2 3 4 5 6 7 8 9 A B C D E F Poisson Arrival Rate Exponential Service Rate Operating Character istics Probability of no orders in system Average number of orders waiting Average number of orders in system Average time an order waits Average time an order is in system Probability an order must wait G ? m H 20 30 Po Lg L Wq W Pw 0. 333 1. 333 2. 000 0. 067 0. 100 0. 667 Slide 30 M/M/k Queuing System ? ? ? ? ? ? Multiple channels (with one central waiting line) Poisson arrival-rate distribution Exponential service-time distribution Unlimited maximum queue length Infinite calling population Examples: Four-teller transaction counter in bank â⬠¢Two-clerk returns counter in retail store Slide 31 1 ? P? n ? m ? P0 , for (n ? k) ? n! ? ? n ? ? m ? P0 , for (n ? k) ? ? ? 1 n k ? 1 1 km ? ? ? ? n! ? m ? ? k! ? m ? km ? ? ? ? ? 1 ? k! k n ? k P? 0 P w ? n ? k ? 1 ? n ? 0 ? n 1 ? ? P(n ? k ) ? ?m? ? k! ? ? k km P0 , km ? ? k ?m ? ? m ? ? ? ? ? ? L? P0 ? 2 m (k ? 1)! (km ? ? ) W? L ? , Lq ? ,r ? km Lq ? 1 ? L? , Wq ? W ? ? m m ? Slide 32 General Operating Characteristics Little' s F low Equations : L (or W ? ) ? Lq (or Wq ? ) ? L ? ?W L q ? ?Wq W ? Wq ? 1 m Slide 33 Problem: ? ? ? ? ? ? ? ?A Tax consulting firm has four service stations (counters) in its office to receive people who have problems and complaints about their income, wealth and sales taxes. Arrivals average 80 persons in an 8 hour service day. Each tax advisor spends irregular amount of time servicing the arrivals which have been found to have an exponential distribution. The average service time is 20 minutes. Calculate the average no. of customers in the system, average no. of customers waiting to be serviced, average time a customer spend in the system, average waiting time for a customer in queue. Calculate how many hours each week does a tax advisor spend erforming his job? What is the probability that a customer has to wait before he gets service? What is the expected no. of idle tax advisors at any specified time? Slide 34 Example: SJJT, Inc. (B) ? M/M/2 Queuing System Smith, Jones, Joh nson, and Thomas, Inc. has begun a major advertising campaign which it believes will increase its business 50%. To handle the increased volume, the company has hired an additional floor trader, Fred Hanson, who works at the same speed as Joe Ferris. Note that the new arrival rate of orders, ? , is 50% higher than that of problem (A). Thus, ? = 1. 5(20) = 30 per hour. Slide 35Example: SJJT, Inc. (B) ? Sufficient Service Rate Question Why will Joe Ferris alone not be able to handle the increase in orders? Answer Since Joe Ferris processes orders at a mean rate of à µ = 30 per hour, then ? = à µ = 30 and the utilization factor is 1. This implies the queue of orders will grow infinitely large. Hence, Joe alone cannot handle this increase in demand. Slide 36 Example: SJJT, Inc. (B) ? Probability of n Units in System Question What is the probability that neither Joe nor Fred will be working on an order at any point in time? Slide 37 Example: SJJT, Inc. (B) ? Probability of n Units in Sy stem (continued)Answer Given that ? = 30, à µ = 30, k = 2 and (? /à µ) = 1, the probability that neither Joe nor Fred will be working is: 1 P0 ? k ? 1 ( ? / m )n (? / m ) k km ? ( ) ? n! k! km ? ? n? 0 = 1/[(1 + (1/1! )(30/30)1] + [(1/2! )(1)2][2(30)/(2(30)-30)] = 1/(1 + 1 + 1) = 1/3 = .333 Slide 38 Example: SJJT, Inc. (B) ? Average Time in System Question What is the average turnaround time for an order with both Joe and Fred working? Slide 39 Example: SJJT, Inc. (B) ? Average Time in System (continued) Answer The average turnaround time is the average waiting time in the system, W. Lq = ?à µ(? /à µ)k (k-1)! (kà µ ââ¬â ? )2 P0 = (30)(30)(30/30)2 (1! ((2)(30)-30))2 (1/3) = 1/3 L = Lq + (? /à µ) = 1/3 + (30/30) = 4/3 W = L/ (4/3)/30 = 4/90 hr. = 2. 67 min. Slide 40 Example: SJJT, Inc. (B) ? Average Length of Queue Question What is the average number of orders waiting to be filled with both Joe and Fred working? Answer The average number of orders waiting to be filled is Lq. This was calculated earlier as 1/3 . Slide 41 Example: SJJT, Inc. (B) ? Formula Spreadsheet 1 2 3 4 5 6 7 8 9 10 A B C D E F Number of Channels Mean Arrival Rate (Poisson) Mean Service Rate (Exponential ) Operating Characteristics Probability of no orders in system Average number of orders waitingAverage number of orders in system Average time (hrs) an order waits Average time (hrs) an order is in system Probability an order must wait G k ? m H 2 30 30 Po =Po(H1,H2,H3) Lg ## L =H6+H2/H3 Wq =H6/H2 W =H8+1/H3 Pw =H2/H3 Slide 42 Example: SJJT, Inc. (B) ? Spreadsheet Solution 1 2 3 4 5 6 7 8 9 10 A B C D E F Number of Channels Mean Arrival Rate (Poisson) Mean Service Rate (Exponential ) Operating Characteristics Probability of no orders in system Average number of orders waiting Average number of orders in system Average time (hrs) an order waits Average time (hrs) an order is in system Probability an order must waitG k ? m H 2 30 30 Po Lg L Wq W Pw 0. 333 0. 333 1. 333 0. 011 0. 044 1 . 000 Slide 43 Example: SJJT, Inc. (C) ? Economic Analysis of Queuing Systems The advertising campaign of Smith, Jones, Johnson and Thomas, Inc. (see problems (A) and (B)) was so successful that business actually doubled. The mean rate of stock orders arriving at the exchange is now 40 per hour and the company must decide how many floor traders to employ. Each floor trader hired can process an order in an average time of 2 minutes. Slide 44 Example: SJJT, Inc. (C) ? Economic Analysis of Queuing Systems Based on a number of factors the brokerage firm as determined the average waiting cost per minute for an order to be $. 50. Floor traders hired will earn $20 per hour in wages and benefits. Using this information compare the total hourly cost of hiring 2 traders with that of hiring 3 traders. Slide 45 Example: SJJT, Inc. (C) ? Economic Analysis of Waiting Lines Total Hourly Cost = (Total salary cost per hour) + (Total hourly cost for orders in the system) = ($20 per trader per hour) x (Number of traders) + ($30 waiting cost per hour) x (Average number of orders in the system) = 20k + 30L. Thus, L must be determined for k = 2 traders and for k = 3 traders with ? = 40/hr. nd m = 30/hr. (since the average service time is 2 minutes (1/30 hr. ). Slide 46 Example: SJJT, Inc. (C) ? Cost of Two Servers P0 ? 1 k ? 1 (? ? n? 0 / m )n ( ? / m ) k km ? ( ) n! k! km ? ? P0 = 1 / [1+(1/1! )(40/30)]+[(1/2! )(40/30)2(60/(60-40))] = 1 / [1 + (4/3) + (8/3)] = 1/5 Slide 47 Example: SJJT, Inc. (C) ? Cost of Two Servers (continued) Thus, Lq = ?à µ(? /à µ)k (k-1)! (kà µ -? )2 P0 = (40)(30)(40/30)2 1! (60-40)2 (1/5) = 16/15 L = Lq + (? /à µ) = 16/15 + 4/3 = 12/5 Total Cost = (20)(2) + 30(12/5) = $112. 00 per hour Slide 48 Example: SJJT, Inc. (C) ? Cost of Three Servers P0 ? 1 k ? 1 (? ? n? 0 / m )n ( ? / m ) k km ( ) n! k! km ? ? P0 = 1/[[1+(1/1! )(40/30)+(1/2! )(40/30)2]+ [(1/3! )(40/30)3(90/(90-40))] ] = 1 / [1 + 4/3 + 8/9 + 32/45] = 15/59 Slide 49 Example: SJJT, Inc. (C) ? Cost of Three Servers (continued) (30)(40)(40/30)3 Hence, Lq = (15/59) = 128/885 = . 1446 (2! )(3(30)-40)2 Thus, L = 128/885 + 40/30 = 1308/885 (= 1. 4780) Total Cost = (20)(3) + 30(1308/885) = $104. 35 per hour Slide 50 Example: SJJT, Inc. (C) ? System Cost Comparison 2 Traders 3 Traders Wage Cost/Hr $40. 00 60. 00 Waiting Cost/Hr $82. 00 44. 35 Total Cost/Hr $112. 00 104. 35 Thus, the cost of having 3 traders is less than that of 2 traders. Slide 51
Friday, August 16, 2019
Why Prohibition Failed to Control American Alcohol Consumption
A single sketchy light flickers in a dark room. The smell of pure, hard liquor (most likely moonshine), permeates the air. Screams, laughter, shattering glass, and the freshly-made whiskey are shared by all in the dingy lairââ¬âuntil a stern knock cuts through the noise, silencing and destroying the night. It was this scenario and countless others like it that defined American Prohibition, also known as ââ¬Å"The Noble Experimentâ⬠, a ban on any intoxicating beverage from 1920 to 1933.Reasons Prohibition was enacted was to correct corruption and reduce prison numbers, solve social unrest, lower taxes, and improve hygiene and health of the people. However, Prohibition ultimately failed in its attempt to control the behavior and vices of its citizens. One particular issue that arose from Prohibition was that it fostered corruption; poor, young immigrants gradually morphed into mobs and general crime became organized. Extensive crime syndicates solidified and what is now collo quially known as the ââ¬Å"Mafiaâ⬠formed.The public had nowhere else to turn but these bootleg distilleries (dubbed ââ¬Å"speakeasiesâ⬠), because the method of getting in was a passwordââ¬âand by the end of Prohibition, over one million gallons of liquor had been bootlegged and brought into the United States alone. Not only had organized crime increased, but most crimes in general did, too. In addition to distilling alcohol illegally, police budgets in the period of Prohibition had increased by 11. 4 million dollars (adjusted for todayââ¬â¢s inflation, more than 140. 5 million dollars). Total federal expenditures on penal institutions increased by a whopping 1000%.Homicides, civil unrest, the prison population, and Prohibition violations had actually increased during Prohibition. The demand for alcohol and the elimination of the publicââ¬â¢s legal supply ultimately played a large part in the spike in crime during this era. Besides the fact that crime multiplie d uncontrollably, Prohibition was also practically unenforceable. Interestingly enough, the act of drinking in itself was not banned, rather, only sale and distribution. Bootleggers outnumbered police officers and enforcement became laughably lax in some areas of the United States.The 21 Club, a popular speakeasy in New York City, had been raided many times by police, but the owners were never caught. Many American immigrants viewed liquor not as a vice but as an integral cultural component. Smuggling and bootlegging were in full swing, and by 1927 the number of speakeasies was twice the number of legal bars pre-Prohibition. The Volstead Act itself (the enabling legislation for Prohibition) allowed the sale and production of wine at home and for religious purposes, allowing for vineyards to sell grapes and concentrate for people to make their own wine at home.The contents of the law was full of loopholes that were often exploited, such as whiskey prescription for medical reasons. Th e Prohibition saw a sharp increase in prescriptions written for patients that called for alcohol. Prohibition had also decimated the alcohol-production industry, particularly that of winemaking. As mentioned previously, winemakers had to find loopholes and crafty ways to bypass the law. Many went out of business due to the fact that any alcohol over 0. 5% was banned, and most wines had about a 13% alcohol content.Wine for sacramental purposes was allowed, and people who acted as imposters of church figures obtained wine through this alternative route. Lack of support was widespread and only increased as Prohibition went on. The increase of chaos, loss of businesses, and most of all crime only caused any original support for the law to dwindle. Finally, at 3:32 p. m. on December 5, 1933, the 21st Amendment was ratified, effectively nullifying the 18th Amendment and repealing Prohibition.As the Roaring Twenties came to a close, the United States of America saw that the tax revenue gen erated by legal sale of alcohol would help take the edge off of the financial burden that came with the Great Depression. In conclusion, Prohibition in the United States is generally known as an unsuccessful experiment in enforcing morality in legislation. Illegal distilleries and speakeasies (establishments for illegally purchasing alcohol) broke out and encouraged the spread of crime. The Mafia was established as poor immigrants who found an easy way to make a great deal of money by selling alcohol to those in desperate want of it.Countless loopholes were exploited and enforcement of the laws, over time, decreased steeply. Despite the conviction by Congress that going dry would help the United States cut down on alcoholism and crime, Prohibition ended up doing the exact opposite. Overall, lack of support, increase in crime, unenforceability, and necessity of alcohol in society during the 1920s caused the ultimate downfall and failure of the American Prohibition.CITATIONS (sorry th at this version does not have them inline): http://www. cato. rg/publications/policy-analysis/alcohol-prohibition-was-failure http://www. albany. edu/~wm731882/organized_crime1_final. html http://www. westegg. com/inflation/infl. cgi http://www. digitalhistory. uh. edu/database/article_display. cfm? HHID=441 http://www. ncbi. nlm. nih. gov/pmc/articles/PMC1655505/pdf/calwestmed00210-0040b. pdf http://library. thinkquest. org/04oct/00492/Why_It_Did_Not_Work. htm http://www. netplaces. com/wine-guide/a-brief-history-of-wine/prohibition-wipes-out-an-industry. htm http://history. howstuffworks. com/american-history/prohibition. htm
Thursday, August 15, 2019
Philip Roth- writer of Defender of the Faith Essay
Philip Milton Roth was born on March 19, 1933 in Newark, New Jersey to a lower class middle-class Jewish Family novels and made it the scenes there. There are certain stories that he wrote which talks about his family members and his own life as well. His father was an insurance of Austro-Hungarian stock. When he wrote Patrimony in 1991, he wrote this for his dad who is still in his early eighties but in that particular story he portrayed his father as an eighty-six year old who suffered from a brain tumor. He loves his family so much. And that particular novel won the National critics Circle award in 1992.(Bloom, 2003) Experience is the best teacher and those experiences should be put into words to produce one magnificent work that will mirror the past. An excerpt from one of his book says ââ¬Å"Between first discovering the Newark Bears and the Brooklyn Dodgers at seven or eight and first looking into Conradââ¬â¢s Lord Jim at age eighteen, I had done some growing up. I am only saying that my discovery of literature, and fiction particularly, and the ââ¬Ëlove affairââ¬â¢ ââ¬â to some degree hopeless, but still earnest ââ¬â that has ensued, derives in part from this childhood infatuation with baseball. Or, more accurately perhaps, baseball ââ¬â with its lore and legends, its cultural power, its seasonal associations, its native authenticity, its simple rules and transparent strategies, its longueurs and thrills, its spaciousness, its suspensefulness, its heroics, its nuances, its lingo, its ââ¬Ëcharactersââ¬â¢, its peculiarly hypnotic tedium, its mythic transformation of the immediate ââ¬â was the literature of my boyhood.â⬠(Roth in ââ¬ËMy Baseball Yearsââ¬â¢, from Reading Myself and Others, 1975) Here we can say that the place he grew up and the experiences made him what he really is and clearly shows the readers what kind of childhood he has. He attended Rutgers university from 1950-51 then transferred to Bucknell university where he graduated Phi Beta Kappa and magna cum laude with a major in English in 1954. Then he studied at the University of Chicago where he receives his M.A. in English then in 1955 he joined the army but sooner discharged because of a back injury. He then continues his study at Chicago and worked there from 1955 to 1957 as an English teacher. He then dropped out from the Ph.D. program in 1959 and started to write film reviews for the New Republic. Also in that year Goodbye Columbus won the National Book Award and was made into film here it was based on a family of a middle-class Jewish which clearly shows the authorââ¬â¢s technique that is experience based and observations about the Jewish way of living Roth is fascinated by the idea of Jews behaving badly, but for him the physical deviance is sexual. He undermines the icon of the mensch, the Jewish good-boy (buzzle.com). Portnoyââ¬â¢s complaint is also his work which became the number one best seller in 1969 and made a turning point in his career. Here Portnoyââ¬â¢s approach to hedonistic Western culture is ironic. This work of Roth for most readers finds it offensive because of the sex scenes and the presentation of Jewish Mother was criticized. (Bloom, 2003) Jewishness is Rothââ¬â¢s major territory in examining American culture. Roth has more ironic and characterized as ââ¬Å"less lovingâ⬠views on Jewsââ¬â¢ life. The readers can identify the writer with the obsession on fictional characters. In his works he increasingly wrestled problems of identity. Sometimes, he views his own life as part of his fiction. In his work The Plot against America (2004) an alternate history in which the famous pilot Charles Lindberg is the 33rd president of the Fascist U.S Philip Roth is one of the characters suffering from his Jewish Background. When he experienced separation from his wife whom he got married in 1990 distinguished actress Claire Bloom, their relationship wayback 1970 was ended in 1996 and made his wife publish a book for him entitled Leaving a Dollââ¬â¢s House. We can see here that even his wife is using experience as a good source of thoughts and ideas in writing a book to clearly express oneââ¬â¢s emotion and point of views.(Bloom 2003) In his work Defender of the Faith (1959) the social and critical context shows us the passion of Philip Roth for his works. Here Roth shows us two stories at the same time, first is the story of Marxââ¬â¢s recovery from war experiences and the other is his conflict with Grossbart. The author explores the struggle one man goes through in order to discover which value outweigh others. Marx is in a dilemma which should be first, a good sergeant, a good Jew or a good human being. As the story progresses, Roth allows us glimpses into Marxââ¬â¢s recovery: the parade ground at dusk evokes childhood memories that reach deep into his heart to touch him; later, he begins to send for law school catalogs and to write old girlfriends. (ftp.ccccd.edu) From here we can see points of the author about the conflict between Marx and Grossbart. Although they are both Jews, Grossbart is trying to get a special consideration and privilege. What is difficult for Marx is that Grossbart raises questions that the army at that time never considers. Like why is it that Jews donââ¬â¢t go worship on their Sabbath. Then Marx just realizes that Grossbart is not really a serious Jew. He just wants to manipulate the system which on the later part made Marx fight for his own sake. We can see that this work of Roth is full of complex irony. Sgt. Marx is the defender of faith which in fact should suggest a staunch religious champion, but as far as Marxs role in the story he does it so against his will and against his intention but what made him motivated is to have an equal and fair treatment to all his men and not to be partial to Jews.where unwillingly he became defender of faith to Grossbart. At the end of the story, however, when Marx has Grossbartââ¬â¢s orders changed to the Pacific, the irony is that he becomes most truly a defender of his faith when he seems to be turning against it. ââ¬Å"You call this watching out for me what you did?â⬠asks Grossbart. ââ¬Å"No,â⬠answers Marx. ââ¬Å"For all of us.â⬠The cause of the whole Jewish faith is set back when Jews like Grossbart get special favors for themselves, for other people will mistakenly attribute Grossbartââ¬â¢s objectionable qualities to the Jewish people as a whole. (Itââ¬â¢s called ââ¬Å"stereotyping.â⬠) Thus Marx is unwillingly a ââ¬Å"defender of the faithâ⬠when he helps his fellow Jew, yet he becomes truly a defender of the faith when he turns against him (ftp.ccccd.edu). Roth justifies his social context about Jews in this story and made many people realize what the term ââ¬Å"Defender of the faithâ⬠really means. Works Cited Bloom, Harold ââ¬Å"Blooms Modern Critical Viewsâ⬠Chelsea House Publishers, Defenders of the faith Notes: ââ¬Å"Defender of the Faithâ⬠by Philip Roth Roth, Philip ââ¬Å"My Baseball Yearsâ⬠from ââ¬Å"Reading Myself and Others Bookâ⬠, New York Farrar, Straus and Giroux, 1975
Wednesday, August 14, 2019
Advantages for sociologists in using structured interviews Essay
The structured interview, also known as the formal or questionnaire interview, involves a face-to-face or alternatively an over-the-phone delivery of a questionnaire. Structured interviews use a pre-set list of questions designed by the researcher and asked to all interviewees in the same way, this is know as an interview schedule. Interviewees then choose from a list of set answers, allowing structured interviews to be relatively quick. Structured interviews have various advantages, therefore, some sociologists, mainly Positivist sociologists, choose to use structured interviews when conducting research. Positivists go by the assumption that there is a measurable objective social reality. They take a scientific approach using methods such as structured interviews to obtain quantitative data. Positivists are mainly interested in research methods that achieve their main goals of reliability, generalisability and representativeness, for this reason, they favour structured interviews as they achieve these goals. This is because structured interviews have close-ended questions and answers that are standardised, counted and quantified; they are reliable because they can be therefore replicated. Positivist sociologists also prefer to use structured interviews when conducting research because the pre-coded responses mean that produce quantitative data, can allow cause-and-effect relationships can be established. Thus, structured interviews are preferred by positivists. Also, structured interviews are representative and can therefore be generalised, because of the fact that they are often large-scale. There are also practical advantages to using structured interviews. For an example, training interviewers is relatively easy and inexpensive as no specialist skills have to be taught as the questions tend to be very straightforward as they often close-ended, and do not require too much thought. Due to the fact that skills taught are minimal, the process of training interviewers will not cost too much. This brings a huge practical advantage for sociologists of structured interviews being low cost. Another practical advantage is that structured interviews are relatively cheap, quick and easy to administer. This enables sociologists to use aà larger sample in the interview process, allowing more representative results to be produced. Therefore, the researcher can make generalisations. No only this, but structured interviews have a higher response rate, than mailed questionnaires for example, further improving and reinforcing the representative advantage of structured interviews. Furthermore, face to face interviews ensure a much higher response rate than mailed questionnaires for example, due to the fact that the researcherââ¬â¢s presence means that the research purpose and importance can be explained to potential interviewees, allowing them to understand how valuable it is that their response is correct and true, thus increasing validity- an important advantage for sociologists. Finally interviewer effect occurs when the interviewerââ¬â¢s presence affects the intervieweeââ¬â¢s responses, in turn reducing validity. However, the advantage with structured interviews is that the interviewer effect with be much less than with unstructured, open-ended unstructured interviews. This is due to the fact that in structured interviews contact is restricted to asking and responding fixed list of questions and close-ended answers. All points considered there are a number of advantages for sociologists in using structured interviews in their research. However, in saying this, it can also be argued that there are a also number of disadvantages. For example, it can be said that there is a lack of validity as the researcher decides the questions in advance, a lack of reliability as interviewer effect may influence answers, a cost issue due to training and ignorance towards sensitive issues as deadpan manner may be quite off-putting and there is a lack of rapport. In my opinion, it all depends on whether you are a positivist or an interpretivist. Yes, there are some disadvantages, but I believe that these disadvantages are extremely outweighed by number of advantages that exist for sociologists in using structured interviews in their research.
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