The Emotions Explored in the Poems Essay Example for Free

The Emotions Explored in the Poems Essay What Emotions does Tennyson explore in the poems ‘Mariana’ and ‘In the Valley of Cauteretz’ and what methods does he use to convey a range of emotions effectively? Tennyson explores many emotions throughout Marianna, In the Valley of Cauteretz which have been reflected from his life. Born to a large family of 12, Alfred Tennyson had many fears and worries in his life. Some of these worries included money due to the fact that Aunt Elizabeth Russell and Uncle Charles Tennyson had a great deal of wealth than that of his own family. Tennyson also had a lifelong fear of developing a mental illness as several of the men in his family had a mild form of epilepsy. In those days it was thought to be a shameful disease which was made worse by the fact that his father was an alcoholic. His fathers’ condition worsened and he became paranoid, abusive, and violent. Marianna is a poem about Marianna, a woman who has been waiting for her true love and has become more and more desperate in an old lonely grange with a moat. Tennyson uses a range of techniques to portray Marianna’s emotions. The idea of loneliness and grief is highlighted with the use of pathetic fallacy and nature ‘after the flitting of the bats when the thickest dark did trance the sky’. Tennyson stresses her desperation at the last four lines of each stanza which recurs but with slight modifications ‘She only said,’ my life is dreary, He cometh not,’ she said; She said, ‘I am aweary, aweary, I would that I were dead! ’ It is almost a death wish which slowly she believes. In ‘In the valley of Cauteretz’ it is clear that grief, sorrow and loneliness are recurring themes in Tennyson’s work. Right from the beginning of this short poem the effect the reader gets is that he is writing about a time in his life from experience and he is trying to go back to when he was happiest. ‘I walked with one I loved two and thirty years ago. All along the valley, while I walked today’. Tennyson tries to hide the bad times and think about the positive ‘the voice of the dead was a living voice to me’ showing that even though someone is dead, to him he is still alive. Tennyson had a friend called Arthur Hallam who died at a very young age hich was a great shock, because of this he presented the preciousness of youth in his poems by creating images which stress youthful joy. In the valley of Cauteretz describes an experience on revisiting a valley in the Pyrenees, years after he had been there with his now dead friend. This valley appears to shoe the reader a great psychological significance. As Tennyson describes himself travelling the valley, there are different elements which are triggered and crafter to create a lasting sense of how his friends’ death still affects himself decades later. Tennyson uses a range of different poetic techniques to convey all these emotions effectively. Some may think that the use of repetition highlights the desperation and sadness of the ‘characters’ he writes about in his poems however the dactylic, experimental rhythm in my opinion helps make sentences stand out and in ‘in the valley of Cauteretz’ makes him want to portray his friend as different and that they didn’t have just an ordinary friendship but a very string bond. Tennyson makes it clear to the reader that the valley was a place he had been before and had many memories from that place and he goes back in time using language making it seem as though the past has come alive ‘i walked with one I loves two and thirty years ago. All along the valley, while i walked today; two and thirty years were a mist that rolls away. Tennyson also used rhyming couplets which add effect of time passing by and to show that nothing has changed. In Mariana Tennyson also uses some of these techniques but for different reasons. He uses nature and sounds to show that there was nothing there, no feeling, no life. The mood of ‘Marianna’ does contrast to that of ‘In the Valley of Cauteretz’ however the themes throughout both are the same and based on Tennyson’s life experiences. Marianna is a poem about a woman in a daydream that she will be rescued by her love and swept away from this forlorn, dreary place. It is clear that in the final stanza Marianna has finally accepted that she will not be rescued by her true love and her final death wish is flooded with sadness ‘The sparrows chirrup on the roof, The slow clock ticking and the sound, Which to the wooing wind aloof, The poplar made, did all confound, Her sense; but most she loathed the hour, When the thick-moted sunbeam lay, Athwart the chambers, and the day, Was sloping toward his western bower. Then, said she, I am very dreary, He will not come, she said; she wept, I am aweary, aweary, Oh God, that I were dead! In conclusion Tennyson explored many emotions linked to grief, sadness and loneliness effectively with the use of exciting language, repetition and metaphors referring to all the good times with his friend. Word Count: 886

History Of Money Essay -- essays research papers

What is Money? At first sight the answer to this question seems obvious. A man or woman in the street would agree on coins and banknote which could be known as checks, for a good or a service but would they accept them from any country? They would probably be less willing to accept them than their own country's coins and notes but bank money actually accounts for by far the greatest proportion by value of the total supply of money. Credit cards and gold are some what different. The gold standard belongs to history but even today in many rich people in different parts of the world would rather keep some of their wealth in the form of gold than in official, inflation-prone currencies. Gold is a attractive type of material which led to its use for monetary transactions for thousands of years. All sorts of things have been used as money at different times in different places. Like amber, beads, cowries, drums, eggs, feathers, gongs, hoes, ivory, jade, kettles, leather, mats, nails, oxen, pigs, quartz, rice, salt, thimbles, umiacs, vodka, wampum, yarns, and zappozats (decorated axes). It is almost impossible to define money in terms of its physical form or properties since these are so diverse. Therefore any definition must be based on its functions, which are units of account, common measure of value ,medium of exchange, and store of value. So with that in mind money is anything that is widely used for making payments and accounting for debts and credits. Money originated becau...

Switch Models for Managing Queue Length Matrices

Switch Model We consider an N _ N non-blocking, input bu_ered switch. Figure 4.1: Queueing theoretical account for a waiting line. The input I, has M FIFO waiting lines, qi1 to qiM, where 1 _ I _ N and M _ N. The length of every FIFO is assumed to be in_nite. N end product ports are divided into M reference groups each of N=M end products ports. When a package arrives it joins one of the M group, depending on the its finish. In the system that we consider, a package from an input I destined for end product port J is put into qij modM. The input tra_c is assumed homogenous and with Bernoulli distribution. Packages 91 4.2 Random Selection are distributed uniformly for all end product ports. Time is assumed to be slotted with each slot equal to the transmittal clip of a cell. In a cell slot, we have to choose a upper limit of N cells from MN FIFO waiting lines with non-conicting finish references. The manner in which these N cells are selected is decided by the cell choice policy. Di_erent cell choice policies are discussed in the following subdivision. Here we assume that at most one cell is selected from each input port, destined to a non-conicting end product. An e_cient cell choice policy should maximise the throughput and mini- mize package transmittal hold. It should besides be noted that the programming policy should be simple for execution. We present here di_erent cell choice poli- cies. A Queue length matrix L, of size N _N, is formed from current waiting line length of FIFO. The current waiting line length of each FIFO is assigned to Lij, where I is input port and J is the finish port of HOL cell. A 3 ten 3 switch is considered as an illustration with 3 waiting lines per port Figure 4.2: Queue length matrix and Indicator Queue length matrix whose queue length matrix is given in Figure 4.2 ( a ) . An index waiting line length matrix, K is formed from queue length matrix L by the relation Kij = 1 if Lij & A ; gt ; 0, else Kij = 0. ( Figure 4.2 ( B ) . ) 4.2 Random Selection In this policy, in a cell slot, one of the random places of the cell is selected. If the cell is available it will be switched to the end product port. The selected input port and selected end product port will non contend in farther loops. This procedure is repeated N times or till no cell is available for switching.There is possibility that indiscriminately waiting line can be selected for which there is no HOL cell, under such circum- stances throughput will acquire reduced. Even through switch is con_gured for size of N X N with M queues/port, still we need scheduling policy to run on N _ N matrix. No warrant that throughput is 100 % under heavy tra_c i.e. _ = 1.is 92 4.3 Longest Queue Priority choice ( LQPS ) achieved.Implementation of random choice is di_cult in hardware.No unique solution for same queue length matrix. Following graph shows the throughput public presentation of MIQ with di_erent switch sizes and fluctuation in figure of waiting lines per ports. The throughput is dependent merely on value of M when N is greater than 32.Below N=32 throughput dependant on N and M besides. Figure 4.3: Impregnation Throughput with Random Policy for assorted values of M 4.3 Longest Queue Priority choice ( LQPS ) In this strategy, precedence is given to the longest waiting line FIFO [ 15 ] . In the waiting line length matrix L, Lij = 0 indicates that no HOL cell is available from input port I destined to end product port J. In a cell slot, the algorithm starts with _rst loop where we select a cell from input port I to end product port Js such that Lij is maximal. The cells from input port I and cells destined to end product port J are non considered for choice in all farther loops. From the staying matrix, once more a new maximal component Lij is found. The algorithm terminates after N loops or when no cell is available for choice. In Figure4.4, the circled HOL places are selected cell places. With mention to Fig. 4.4 ( a ) merely three cells are selected even though there is possibility of choosing more than three cells for exchanging. 93 4.4 Weight Maximum Figure 4.4: Longest Queue precedence choice With avaricious attack of maximal queue length choice the packages are selected for exchanging. As shown in Fig.4.4 ( a ) the VOQ & A ; apos ; s selected for exchanging are VOQ ( 1,2 ) , VOQ ( 3,1 ) , VOQ ( 4,3 ) , VOQ ( 2,4 ) , where the instantaneous throughput is non 100 % . There are multiple solutions available as shown in Fig. 4.4 ( B ) . Still it is non an optimum solution even though the instantaneous throughput is 100 % . Now see the optimum solution with constrains mentioned earlier which is shown in Fig.4.4 ( degree Celsius ) . The programming policy should be such that it should maximise figure of pack- ets selected i.e. N and at the same clip overall queue length of selected package should besides be maximal to avoid the cell loss.This is discussed in following subdivision on longest waiting line precedence choice with pattern fiting ( LQPSP ) . No warrant that 100 % throughput can be achieved. Multiple solutions are possible. _nding optimum solution is di_cult. there will be fluctuation in throughput if we consider amount of queue length of selected waiting lines is maximal. Algorithm becomes more composite. 4.4 Weight Maximum In the maximal leaden policy, each HOL cell is associated with a weight, Wij. Weight Wij is calculated utilizing Indicator Queue length matrix K as follows. Wij = _XN m=1 [ Kim + Kmj ] _ : Ten _ Kij _ ( 4.1 ) 94 4.4 Weight Maximum Figure 4.5: Impregnation Throughput with Maximum Queue Length for assorted values of M Figure 4.6: Maximum Weighted choice policy ( WMAX ) This weight factor additions with addition in HOL tenancy at input FIFO and hot-spot tra_c to label end product port. In a cell slot, the algorithm starts with _rst loop where we select a cell from input port I to end product port Js such that its weight is maximal in weight matrix W. If the same maximal component is found at multiple places, one of those is selected indiscriminately or round redbreast 95 4.5 RCSUM Minimum policy is used among such input ports. Cells from the earlier selected input port and cells destined for before selected end product port are non selected. This procedure is repeated till N cells are selected or no cell is left for choice. In Fig.4.6 ( a ) , circled HOL place cells are the selected cell places, and the little square indicates loop figure in which matching cell gets selected. In this instance merely two cells are selected for exchanging, these are indicated by circles drawn in Queue length matrix L in Fig.4.6 ( B ) . Merely two cells are selected even though there is possibility of choosing more than two cells. This decrease in figure of cells selected occurs because more figure of cells are deleted from competition at each loop. 4.5 RCSUM Minimum In this strategy weight matrix generated is the same as in instance of WMAX policy. The lone di_erence is that here a non-zero minimal value is searched. If it _nds one such Wij, so cell from matching place is selected for exchanging from input port I to end product port J. If multiple non-zero lower limit values are available so one is selected indiscriminately. Figure 4.7: Minimum Leaden choice policy ( WMIN ) Fig.4.7 ( a ) shows the sequence in which the cells are selected. In Fig. Fig.4.7 ( a ) , circled HOL place cells are the selected cell places, and the little square 96 4.6 Cell choice policies with form fiting indicates loop figure in which matching cell gets selected. Fig.4.7 ( B ) shows the cells selected in Queue length matrix. Fig.4.7 ( degree Celsius ) and Fig.4.7 ( vitamin D ) show another possible sequence of choice of cells. It clearly shows that more figure of cells are acquiring selected here than in WMAX policy. In this strategy, choosing non- zero lower limit from weight matrix will heighten the throughput because in each choice procedure we delete less figure of cells from the competition in the following loop. This is precisely opposite of the WMAX choice standards. This work is published in Canadian Conference on Broadband Research [ 25 ] . But public presentation graph were non presented. 4.6 Cell choice policies with form fiting It is seen that there are 2N2 substitution of forms for choosing cells in the above matrix. However, because of the limitations on cell choice ( in a cell slot merely one cell can be selected from an input and at most one cell can be switched to an end product port ) the figure of forms of the matrix suited for choice for shift is N! if M = N and much less than Nitrogen! for M & A ; lt ; N. We constrain the form I of the N _ N matrix such that, XN j=1 Iij = XN i=1 Iij = 1 ( 4.2 ) These forms are substitutions of Identity matrix. Any random form with above limitation can be generated without hive awaying them into the memory. 4.6.1 Generation of forms If we have switch size of N _N so we need ( Noˆˆˆ1 ) ! 2 distinguishable cell places that can be used for exchanging. These generate other allowable permuted forms. Procedure to obtain N! forms is as follows. ( 1 ) Get pattern I and take its image. This will give two forms. ( 2 ) Shift form I right cyclically. Repeating measure ( 1 ) and ( 2 ) N times will bring forth N! forms. If we take N = 4, so we demand three distinguishable forms. To obtain these three form from Indicator matrix, we have to trade column 2 with column 1 and column 1 with column 4. Repeat procedure mentioned above to obtain all 24 ( i.e. 4! ) forms. Fig. 6 shows the procedure of coevals of forms. These forms are favorable forms. These forms are suited for execution by hardware, as they can be generated utilizing parallel hardware. 4.6.2 Longest Queue Priority choice with pattern match- ing We obtain a soap value matrix X by utilizing the relation X = [ Phosphorus ij ( Iij: _ Lij ) ] . Here: _ notation indicates element by element generation. In the illustrated 97 4.6 Cell choice policies with form fiting Figure 4.8: Form Generation illustration of 3 _ 3 matrix, a upper limit of six forms will be available. Therefore, soap value matrix X has six elements. This matrix _nds the lucifer that achieves maximal aggregative weight under the limitations of alone coupling, i.e. select form I such that X = [ Phosphorus ij ( Iij: _ Lij ) ] is maximal and equation ( 1 ) is satis_ed. The column matrix X indicate the value obtained from di_erent forms as shown in ( Fig.4.9 ( a ) ) . Select maximal value from X under the restraint of unique coupling and in bend get the form to be selected for exchanging cells from HOL. In this instance I6 form is selected, ( Fig.4.8 ( a ) ) . In the selected form, 1 indicates that cell has to be selected from input I to end product port J. Once the form is selected so matching cells are deleted from the waiting line. It clearly shows that 3 cells are selected for exchanging. If multiple entries in X have the same maximal value, so take any one form indiscriminately. Round robin precedence may be maintained in choice of forms. This strategy is di_cult to implement in hardware, as it requires ( N2=2 ) _ R spot adder where R is the figure of spots required to stand for length of Queue. It gives better public presentation than LQPS. 98 4.6 Cell choice policies with form fiting Figure 4.9: Longest Queue Priority Selection with form fiting 4.6.3 Random Selection with Pattern Matching In this strategy, the form I with limitations in equation ( 1 ) , is indiscriminately chosen among the N! forms. The logical ANDing of I is done with indica- tor Queue length matrix K. In this strategy, the throughput reduces under non unvarying tra_c and it will be unpredictable. 4.6.4 Maximal Weight with Pattern Matching In this method Indicator Queue length matrix K is considered. The sum weight matrix Z is formed such that Z = [ Phosphorus ij ( Iij: _ Kij ) ] ( Fig.4.10 ( a ) ) . The ma- trix Z indicates weight obtained utilizing Indicator Queue length matrix and form I1 to I6. A maximal value is selected from Z ( hashed elements indicates maxi- silent value ) . If multiple places have the same maximal value one among them is selected indiscriminately. In this instance form I6 and I1 get selected. Fig.4.10 ( B ) shows the place of cells selected from the Queue length matrix. Once the form is selected so matching cells are deleted from the waiting line. The execution of this strategy is easy compared to LQPS with pattern matching. Figure 4.10: Maximum Weighted choice policy with pattern match- ing ( WMAXP )

The Social And Political Aspects Of Physician Assisted...

The Analysis of the Social and Political Aspects of Physician-Assisted Suicide Physician-assisted suicide is not a new concept or phenomenon even though medical professional codes and ethics have long prohibited physician involvement in assisting an individual in carrying out such an act. However, over the years due to many high profile cases and various media outlets, calls for the repeal of this ban have increased. A total of four states (Oregon, Washington, Vermont, and California) and one being legal with court decision (Montana) have all passed the Death with Dignity law, and 21 more states are considering it this year/session (Death with Dignity, 2016). This law entails that mentally competent, terminally ill adults who are residents of these certain states can voluntarily request and receive a prescription medication that will end their life in a peaceful and humane manner on their own specific time and place of choice (Death with Dignity, 2016). This law allows an individuals death to be within their control during a time when they feel they may have little regulation over what is occurring in their life, and it is one of many end-of-life care options. Before delving into the social and political debate surrounding this topic, it is important to differentiate between physician-assisted suicide and euthanasia because although they are similar with a common goal, there is a distinguishing factor that sets them apart. In physician-assisted suicide, the physicianShow MoreRelatedDoctor Assisted Suicide By Using Peer Reviewed Articles1639 Words   |  7 PagesDoctor assisted suicide has been a controversial topic for decades. It is placing value on life and death. 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