Community College Essay Example for Free

Community College Essay An analysis of the public school system reveals one challenge facing community colleges and universities: Rising costs are putting pressure on enrollment or forced schools to limit the number of courses they can offer. Every year the result has been a dramatic drop in the number of students the system can afford to teach. Most colleges have also reduced the size of their staff, and provided fewer student services. Without staff, these young people fail to understand why they are unable to get an education or even graduate from a college or university. The best way to help students avoid budget cuts is Proposition 30, which will not only prevent a possible $6 billion in cuts to public schools and colleges, but it will also provide billions of dollars in public funding that schools at all levels desperately need. Taking this into account, this essay considers the pros and cons of proposition 30, particularly in the form of increasing the personal income tax of higher earning Californians by 1 to 3 percent for seven years. The students who go to a college or university right after high school would benefit immensely from proposition 30. These community college students may find it easier to get classes now that voters have approved a tax measure to help fund public education. Proposition 30 is aimed at sparing college students another round of tuition increases that will prevent them from getting classes. Californias community college system will restore thousands of classes, which means putting an ease on a huge backlog of students unable to complete their degrees. Proposition 30 will make a difference this year by providing community colleges with $210 million in additional funds in 2012-2013 by adding approximately 3,300 classes to the spring 2013 semester. The passage of Proposition 30 means more classes for community college students. â€Å"The passage of Proposition 30 not only saved us from cuts totaling $8.6 million, but provided $1 million in new money for Mt. SAC to add 130 course sections for the spring semester,† said Mt. SAC President Bill Scroggins in a news release (Johnson, 2013). This will help students achieve their goals of continuing their education. Students who choose to go to a university would also benefit from proposition 30 because it would prevent them from having classes cut and being put on a waiting list to get into a class. These students will go from having no or minimal classes to about 200 more classes this spring. Without proposition 30, many of these young people face larger class sizes, tuition hikes, more teacher lay-offs, and will lose over half a billion in funding. Many young people did not understand the consequences if prop 30 did not pass and that the money from prop 30 will go directly to schools and public safety services. Prop 30 prevents deep school cuts, puts more cops on the streets, and helps balance the budget by raising income taxes for the wealthiest Californians. Proposition 30 was placed on the ballot by Governor Jerry Brown and supporters of the proposition include the California Teachers Association. Another group to consider is young people who wish to graduate and continue on to graduate school. Proposition 30 is a critical step in addressing the continual budget crisis that continues to affect many undergraduate and graduate students wishing to continue their education. Many recent undergraduate students end up without any classes to help keep them in the public school system in order to be able to register for the next quarter or semester. For these people proposition 30 is especially important because it will help them be able to continue their education and to graduate with their Master’s degree in whatever major they decide to pursue. If the budget had not passed the cuts would target public schools, community colleges, and universities. The University of California would have seen tuition increase by 20%. Many students cannot afford fee increases year after year. This is causing student loan debt to rise continuously, which is not fair to young people at the start of our adult lives. One argument against proposition 30 is that it does not guarantee one penny of new funding for public schools. Another argument is that California is already a very high tax state and we have the 2nd highest income tax rate, as well as the highest state sales tax rate. If Proposition 30 is approved, California will be by far #1 in income tax rates. There are some people who generally support tax increases in California. The Wall Street Journal stated, â€Å"That California Governor Jerry Brown is trying to sell his tax hike to voters this November by saying it will go to schools. The dirty little secret is that the new revenues are needed to backfill the insolvent teacher’s pension fund.† (FOX, 2012). The people who are opposing Proposition 30 do not fully understand what the measure entails and what benefits it will bring to our California public schools. In conclusion the best way to help students avoid budget cuts is Proposition 30, which will not only prevent a possible $6 billion in cuts to public schools and colleges, but it will also provide billions of dollars in public funding that schools at all levels desperately need. The students who go to a college or university right after high school would benefit immensely from proposition 30. Students who choose to go to a university would also benefit from proposition 30 because it would prevent them from having classes cut and being put on a waiting list to get into a class. Another group to consider is young people who wish to graduate and continue on to graduate school. Proposition 30 helps a big minority of people and this is something us students and teachers should vote on. References FOX, J. (2012). California general election. Retrieved from http://voterguide.sos.ca.gov/propositions/30/arguments-rebuttals.htm Johnson, M. C. (2013). Diamond bar walnut patch. Retrieved from http://diamondbar-walnut.patch.com/articles/prop-30-means-more-classes-for-mt-sac-students

Police Officers Discretion Essay Example for Free

Police Officers Discretion Essay Discretion is defined to be an individual’s capabilities and freedom to make responsible preferences and judgments. People working in all fields require making decisions in every day life; however, some need to be more proficient at it. Police officers usually fine themselves in chaotic and critical situations, where their decision can change the entire scenario. The most appropriate decision within the legal boundaries must be made, varying from situation to situation. Discretion is broadly characterized as five different subjects – discretion by judgment (sense of bending rules in legally appropriate ways to fit the situation), discretion as choice (to show courage and give personal contribution to form decisions as the authority in that situation), discretion by discernment (to be diplomatic, tolerant, considerate and cautious and not very generous while making decisions), discretion as liberty (to not be restricted by the law and stretch boundaries of freedom as long as it is acceptable) and lastly discretion as license (basically the permission to act there and then in whichever way thought to be appropriate without the permission of the superiors). There are some police officers who abuse their right of discretion; they believe that they are unaccountable and since they are the authority at the point of chaos, they can do as they will. Having the right of discretion does not mean that an officer can make whatever decisions that they will; they are restricted by professional, society, legal and ethical norms (Sullivan, 1972). The officers these days have just the right capacity of discretion. The only major areas that they use discretion in are domestic violence, drunk driving, mental illness, hate crime, use of force and even vice crime. These are the areas where the personal opinion and judgment of the police officers matters while arresting or giving punishments. In the rest of the important and critical areas such as rape, murder, dacoits and robberies; they have to abide by the law whether they personally approve of it or not. Only easy and fields of everyday crime are left up to the intellect of these officers. Since, there are only some areas where officers are given the right to exercise discretion, it is easy to conclude that the officers are neither given too much or too less of power. Giving them the right to decide is rational because they have been selected as officers and have been given good enough training, which gives them the sense of making correct decisions. These officers make up the entire police force, thus, their opinion should also matter – however, to only some extent. The problems that these police officers face while enforcing laws and giving verdicts is that there are hardly any fields involved in the police forces that are uncontroversial; usually, everybody has a different stance on things. Also, there is a problem is public confidence – the public is too unpredictable to please (Walker, 1993). They desire accountability but nothing seems to satisfy them; also, they wish for strict enforcement in only those areas that they are not related to, that is, they want leverage for themselves but not others. This controversial and unpredictable attitude makes it difficult for the police offers to come up with the right solution that will make everybody happy. I have witnessed one such event myself where differing opinions lead to confusion. A mentally disabled boy of around seventeen became a source of disturbance to other boys playing cricket. One of them was violent and hit the mentally disabled boy out of frustration, who hit the boy back causing him to bleed. Surprisingly, a police car was passing from there at that instant and stopped to check the situation. Everybody demanded that the mentally disabled boy should be punished for his act as he often becomes a cause of nuisance in the neighborhood. The police officer was by nature sympathetic and was of the opinion that the mentally ill boy should be let go of as he is underprivileged and does not possess the ability of making sensible decisions. Here, in this chaotic situation, even when the public was against the officer’s decision, he used his power of discretion and made an appropriate decision according to his judgment instantly. This shows that the right of discretion is extremely important for an officer to deal with everyday situations. Although, if you look closely, it was not a situation where major or critical decisions need to be made; thus, the police officer without any doubts and fear abided by his opinion – this shows limitation of power of discretion to only some areas.

Performance Analysis for AD-HEED and N-HEED

Performance Analysis for AD-HEED and N-HEED 4.1 Results and Discussion In this section, we exhibit and discuss the results of the simulation. This section shows the performance analysis for AD-HEED and N-HEED compared to the original HEED protocol. Every result presented is the average of five experiments. The following sections give a detailed description of the experiments and the results. 4.4.1 Network Lifetime The number of alive nodes for each round is observed for AD-HEED and N-HEED compared to HEED protocol to evaluate the lifetime of the network. In the proposed methods and according to the distance between the CH and its anchor, we proposed AD-HEED30, AD-HEED87, N-HEED30 and N-HEED87. 30 and 87 are the distance between the CH and its anchor (dch_to_Anc) where 30 is the cluster radius and 87 is the threshold distance which depends on the environment. According to simulation results, AD-HEED87 and N-HEED87 have the same results for all experiments so N-HEED87 results will not be appeared in any figure. In all of the experiments, the sensor nodes were deployed uniformly. Figure ‎4‑1 shows the performance of HEED protocol compared to AD-HEED and N-HEED. It is observed that AD-HEED87 outperforms HEED and the other proposed methods. AD-HEED87 increases the network lifetime until all nodes consume their whole energy by more than 150 rounds compared with HEED protocol. N-HEED30 also increases the network lifetime by more than 50 rounds until the whole nodes die. Figure ‎4‑1: Number of alive nodes per rounds Figure ‎4‑2 presents how AD-HEED and N-HEED behave with HEED protocol in term of node death percentage. The figure below shows the number of rounds for 10%, 25%, 50%, 75% and 90% of nodes that consume their whole energy. The results show that AD-HEED and N-HEED outperform HEED throughout the network. There is a slight advantage to HEED on AD-HEED30 in 90% of nodes death .The figure shows that for 10% of nodes death, the best choice is AD-HEED30 and N-HEED30 while the best choice for 75% and 90% of nodes death is AD-HEED87. For 25% and 50% of nodes death the best choice occurs with all proposed methods because they are approximately the same. According to both of figures, the results show that our proposed methods outperform HEED. Figure ‎4‑2: Node death percentage per rounds 4.4.2 Energy Consumption Analysis The performance of AD-HEED and N-HEED is compared with that of HEED protocol in term of energy consumption for data transmission between CHs and the base station. Figure ‎4‑3 reveals the ratio of energy consumption for AD-HEED and N-HEED per rounds compared with HEED. Here, the energy consumption is the energy consumed by nodes to transmit data to the base station. According to the listed parameters, the results show that the energy consumption for data transmission between CHs and the base station is approximately 19% from the whole energy in HEED protocol. According to our experiments, we have a network that consists of 200 sensors deployed in 100m Ãâ€" 100m, the base station located away at (200, 200) from the surrounding area and the initial energy for each node is 2 J. The total energy for 200 nodes is 400 J and then the energy consumed to transmit data from CHs to the base station is 76 J (19% of 400 J). The figure below shows that AD-HEED87 is the lowest energy c onsuming and then N-HEED30 and AD-HEED30 respectively which means that all of them consumed energy lower than that consumed by HEED. AD-HEED87 decreases the energy consumption by HEED by almost 47% and this means it consumes 36 J for data transmission. Figure ‎4‑3: The ratio of energy consumption per rounds Figure ‎4‑4 presents the ratio of energy consumption in data transmission in term of node death percentage. The figure below shows the ratio of energy consumption for 10%, 25%, 50%, 75% and 90% of nodes that consume their whole energy. As it is obviously clear from the figure, AD-HEED and N-HEED consume lower energy than HEED throughout the network. AD-HEED87, N-HEED30 and AD-HEED30 are the lowest energy consumption respectively. Figure ‎4‑4: The ratio of energy consumption for AD-HEED, N-HEED and HEED Table ‎4‑2 reveals the improvement of energy consumed for data transmission of AD-HEED and N-HEED on HEED protocol for 10%, 25%, 50%, 75% and 90% of nodes death. The comparison results shown in Table ‎4‑2 depict that AD-HEED87, N-HEED and AD-HEED30 respectively are more energy efficient than HEED throughout the network. It is worth mentioning here that the data transmission energy is the energy consumed to transmit data from CHs to the base station. Table ‎4‑2: Improvement of AD-HEED and N-HEED on HEED protocol 4.4.3 Variance of the Base Station Location In this set of experiments we evaluate how varying the location of the base station could effect on both schemes; AD-HEED and N-HEED in term of network lifetime and energy consumption. Figure ‎4‑5 compares the lifetime of the network of AD-HEED and N-HEED with HEED, where the network lifetime is the time until the first 10% of nodes die and when the locations of the base station are (150, 150), (200, 200) and (250, 250) on x-coordinate and y-coordinate. Similar comparisons are conducted for the network lifetime in term of HND and LNA10% as exhibited in Figure ‎4‑6 and Figure ‎4‑7 respectively. Both approaches improve the network lifetime with different locations for the base station compared to HEED protocol. Figure ‎4‑5 shows that AD-HEED30 is the best choice where the network lifetime is FND10%. Figure ‎4‑5: Comparing HEED with AD-HEED and N-HEED using different locations of the base station for FND10% metric Figure ‎4‑6 and Figure ‎4‑7 show that AD-HEED87 and N-HEED30 prolong network lifetime in term of HND and LNA10% while AD-HEED30 prolongs network lifetime in term of HND and LNA10% while AD-HEED30 prolongs network lifetime in term of HND. Thus, for the application that requires that at least 90% of nodes should work, AD-HEED30 is the best choice and appropriate for improving the network lifetime in term of FND10%. If the demand of the application is to boost the lifespan of the network in term of LNA10%, then AD-HEED87 will be appropriate because they improve the network lifetime in term of LNA10% significantly. Figure ‎4‑6: Comparing HEED with AD-HEED and N-HEED using different locations of the base station for HND metric It can be easily observed form Figure ‎4‑5, Figure ‎4‑6 and Figure ‎4‑7 that if the base station location is farther, the network lifetime will decrease in term of FND10%, HND and LNA10% in AD-HEED and N-HEED. The decreasing of network lifetime is due to consuming more energy to transmit data to the base station. We know that the anchor or CH consumes (k (Eelec + Eamp * dn)) J to transmit k-bit message to the base station where n = 2 for d 0, and n = 4 for d ≠¥ d0. Thus, the distance between the closest node and the base station according to the experiments is greater than 87 (d0) so n = 4 all the time. In other words, whenever the base station was nearer, CHs and anchors will consume less energy to deliver data to the base station and vice versa. This means that the distance between CHs or anchors and the base station is a critical factor which effects on the energy consumption. Figure ‎4‑7: Comparing HEED with AD-HEED and N-HEED using different locations of the base station for LNA10% metric The following three figures present the energy consumed in Joules by HEED, AD-HEED and N-HEED using different locations of the base station. From the figures, it is clear that AD-HEED and N-HEED consume less energy than HEED protocol throughout the network. The energy saving by the proposed method increases as the location of the base station was farther. The explanation of this was aforementioned. It is clear from the figures that the fraction of improvement decreases as we go through the network lifetime. In other words, the fraction of improvement in the energy consumption for FND10% is greater than that for HND and LNA10%. This is due to that in the earlier periods of the network lifetime there are a lot of nodes that not consume their whole energy. Thus, CHs can select the beast node as anchor which is the closest node to the base station. But in the in the later periods of the network lifetime, a lot of nodes die. Thus, some of CHs may not use anchor to transmit data the base s tation or select a node as anchor which not effect on energy consumption impressively. Figure ‎4‑8, Figure ‎4‑9 and Figure ‎4‑10 reveal that AD-HEED87 is the most energy saving and then N-HEED30 and AD-HEED30. Figure ‎4‑8: The energy consumption using different locations of the base station for FND10% metric Figure ‎4‑9: The energy consumption using different locations of the base station for HND Figure ‎4‑10: The energy consumption using different locations of the base station for LNA10% metric 4.4.4 Variance of the Number of Sensors We also evaluate the effectiveness of increasing number of the nodes on both methods; AD-HEED and N-HEED. Figure ‎4‑11 compares the lifetime of the network of HEED to AD-HEED and N-HEED, where the network lifetime is FND10% and when the number of nodes is varied between 150, 200, 250 and 300 nodes. Identical comparisons are conducted for HND and LNA10% as depicted in Figure ‎4‑12 and Figure ‎4‑13 respectively. Both methods improve the network lifetime as the number of nodes increases. The figures show that, in almost all cases, AD-HEED and N-HEED performs better than HEED. This improvement is also due to using the anchor as intermediate between CHs and the base station. This increases the network lifespan and decreases the energy consumption. The figures show that AD-HEED30 outperforms the others in term of FND10% while AD-HEED87 outperforms the other in term of LNA10% as the number of sensors increases. AD-HEED87 and N-HEED30 are approximately the same with a slight advantage to AD-HEED87 in term of HND. Figure ‎4‑11: Comparing HEED with AD-HEED and N-HEED using different number of sensors for FND10% metric Figure ‎4‑12: Comparing HEED with AD-HEED and N-HEED using different number of sensors for HND metric Figure ‎4‑13: Comparing HEED with AD-HEED and N-HEED using different number of sensors for LNA10% metric The following three figures present the energy consumed in Joules by HEED, AD-HEED and N-HEED using different number of sensors. Figure ‎4‑14: The energy consumption using different number of sensors for FND10% metric It is obviously clear that AD-HEED and N-HEED are more energy efficient because they consume less energy than HEED protocol in all experiments throughout the network. It can be easily observed form the figures that the percentage of improvement is almost the same when the number of the nodes increases. So, the proposed methods doesn’t affect by varying the number of sensors. Figure ‎4‑15: The energy consumption using different number of sensors for HND metric Figure ‎4‑16: The energy consumption using different number of sensors for LNA10% 4.4.5 Results Analysis In HEED protocol, each sensor gathers data and forwards it to its CH. CHs in turn aggregate data from sensors and transmit it to the base station which located far away from the surrounding area. CHs consume their energy during data aggregation from sensors, data compression per signal and forwarding them to the base station. Where ET is energy consumed for transmission of K bits for distance d, ER is energy consumed for receiving, Eelec is energy consumed by the sensor node circuit, Eamp is the energy consumed by amplifier and Efus is the energy consumed for data fusion. Our proposed technique focuses on data transmission between CHs and the base station. The energy consumed by CH to transmit data to the base station directly (EnDir) represents a certain percentage of the whole energy. This percentage differs according to many factors such as the base station location, number of sensors and etc. the energy consumed for direct data transmission is calculated as the following: EnDir = EnCH_to_BS EnCH_to_BS = The energy consumed to transmit data to the base station indirectly via anchor (EnIndir) is calculated as the following: EnIndir = EnCH_to_Anc + EnAnc_to_BS EnCH_to_Anc = (1) EnAnc_to_BS = + (2) Where n =2 if d 0 or n = 4 if d > d0. The energy of (1) is consumed for transmission data to the anchor by CH while the energy of (2) is consumed for receiving data from CH and forwarding it to the base station by anchor. In AD-HEED, CHs transmit the collected data to their anchors if EnDir > EnIndir and anchors in turn transmit data to the base station. Otherwise CHs transmit the gathered data to the base station directly. In N-HEED and in addition to AD-HEED, the current anchors transmit the gathered data to the next anchors if EnDir > EnIndir and the next anchors in turn transmit data to the base station. Otherwise the current anchors transmit the gathered data to the base station directly. Figure ‎4‑17shows the detailed description of how can transmitting data via anchors reduce the energy consumption. If we assume that the point a is the CH, d is the base station and b, c and e are hypothetical points that located in the CH’s transmission range which represented by a circle. The deployment field is 100m x 100m and the base station located away at (200, 200) m from the network field. The transmission range is 30 (cluster radius). ac = ab = 30. ad is the distance between CH and the base station while bd, cd and ed are the distances between the points b, c and e respectively and the base station. According to our proposed technique, CH selects the closest sensor to the base station to be its anchor and it should be closer than CH itself. Firstly, we assume that the distance between the base station (d) and point (c) is equal to the distance between the base station and CH (a). After that, we reduce the distance cd by moving the position of point c and calculate the energy consumed to transmit one byte from CH (a) to the base station directly (EnDir) and the energy consumed to transmit one byte from CH to the base station indirectly (EnIndir) via point (c). This operation repeats many times until EnDir > EnIndir. The same operations are conducted with point (b). After testing and calculation and by assuming that c, b and e are sensors, we get that cd and bd are the maximum distances while ed is the minimum distance in which sending data to the base station indirectly via sensors c, b or e consumes less energy than sending data directly from CH to the base station. Now, we can see that for any sensor located in the gray zone in the circle and has a distance to the base station less than the maximum distance, transmitting data from CH to the base station via any of these sensors will consume less energy than energy consumed by transmitting data from CH directly to the base station. Figure ‎4‑17: The mechanism of sending data via anchors Chapter Two: Conclusions and Future work 5.1 Conclusions In this research, we proposed an efficient mechanism for hierarchal protocols of wireless sensor networks which proved to be more efficient in the use of energy than HEED protocol in most cases. The main contribution is to allow CHs to transmit data by using other sensors called anchors as intermediates which are closer to the base station than CHs. Furthermore, this approach reduces the burden from the CHs which consume their energy by collecting data from sensors and forwarding them to the base station. The sensor which has the collected data compares between the energy consumed in case if it transmits data directly to the base station and if it transmits data indirectly to the base station via its anchor. After that, the sensor decided either to transmit data directly or via anchors to the base station base on way that consumes less energy. We compared and evaluated the proposed approach performance with the HEED protocol in terms of network lifetime and energy consumption. Simula tion results depict that the proposed methods which called AD-HEED and N-HEED perform better than HEED. The improvement percentage relies on the best choice of the distance between the CH and the anchor, the evaluation metrics and the properties of the wireless sensor network. This improvement is because of that the sensor consumes much less energy when they transmit data to sensor closer than another. We know that the CH consumes (k (Eelec + Eamp * dn)) J to transmit k-bit message to the base station. If the distance between CH and the base station less than threshold distance, the energy consumption equation is calculated by using distance to the power of 2 otherwise, to the power of 4. So, the energy consumption is decreased by using anchors which allow sensors to transmit data via short distances until all data received by the base station. According to simulation results, the distance between CH and the base station is very critical factor which effects on the network lifetime and energy consumption .Furthermore; we also conduct a performance evaluation between our proposed approach and HEED protocol by using different number of sensors and different locations of the base station. The simulation results show that the variation in the number of sensors doesn’t affect significantly on the percentage of improvement. The simulation results show also that the percentage of improvement decreases as the location of the base station was farther because the sensors consume more energy whenever transmitting data over long distances. 5.2 Future Work Though considerable effort has been made on this thesis, many ideas regarding the subject are still not investigated. This section outlines and presents some of our future plans to be conducted in order to improve this work. The choosing of anchors in our approach depended entirely on the distance between the sensors and the base station where CHs choose the closest sensor to the base station. We think to make the choosing of anchors more controlled by taking into account different conditions and other related parameters such as the residual energy, the positions of the nodes and the received signal strength. The collected data by sensors is transmitted by CHs to one base station. This assumption is similar to that in HEED protocol. For scenarios where there are more than one base station located in different locations, each CH should transmit data to the suitable base station. Thus, studying how our proposed approach behaves with these scenarios is a very good idea to be conducted for future work. Finally, the energy consumption and network lifetime are the only performance metrics that are used to evaluate our proposed approach. Using other performance metrics such as throughput, latency and packet delivery ratio to evaluate the proposed approach is a good idea to be conducted for future work.

Mozart :: essays research papers

Wolfgang Amadeus Mozart 1756-1791 Probably the greatest genius in Western musical history, Wolfgang Amadeus Mozart was born in Salzburg, Austria, Jan. 27, 1756, the son of Leopold Mozart and his wife, Anna Maria Pertl. Leopold was a successful composer and violinist and assistant concertmaster at the Salzburg court, whose archbishop, Sigismund von Schrattenbach, encouraged the activities of Leopold and his remarkable children. Wolfgang began composing minuets at the age of 5 and symphonies at 9. When he was 6, he and his older sister, Maria Anna, embarked on a series of concert tours to Europe's courts and major cities. Both children played the keyboard, but Wolfgang became a violin virtuoso as well. In 1762 the Mozart children played at court in Vienna; the Empress Maria Theresa and her husband, Emperor Francis I, received them cordially. Later the Mozart children displayed (1763-66) their talents to audiences in Germany, in Paris, at court in Versailles, and in London (where Wolfgang wrote his first symphonies and was befriended by Johann Christian Bach, whose musical influence on Wolfgang was profound). In Paris the young Mozart published his first works, four sonatas for clavier with accompanying violin (1764). In 1768 he composed his first opera, La Finta Semplice, for Vienna, but intrigues prevented its performance, and it was first presented a year later at Salzburg. In 1769-70, Leopold and Wolfgang undertook a tour through Italy. This first Italian trip culminated in a new opera, Mitridate, re di Ponto, composed for Milan. In two further Italian journeys he wrote two more operas for Milan, Ascanio in Alba (1771) and Lucio Silla (1772). In 1772, Archbishop von Schrattenbach died, to be succeeded by Hieronymus von Colloredo. The latter, at first sympathetic to the Mozarts, later became irritated by Wolfgang's prolonged absences and stubborn ways. In 1772, von Colloredo retained Wolfgang as concertmaster at a token salary. In this capacity Mozart composed a large number of sacred and secular works. Wishing to secure a better position outside Salzburg, he obtained permission to undertake another journey in 1777. With his mother he traveled to France, where he composed the Paris Symphony (1778); he could find no permanent position, however. His mother died in Paris. When he returned to Salzburg he was given the position of court organist (1779) and produced a splendid series of church works, including the famous Coronation Mass. He was commissioned to compose a new opera for Munich, Idomeneo (1781), which proved that he was a consummate master of opera seria.

Zero and Asylum in the Snow by Lawrence Durrell :: Madness Psychology Durrell Essays

Zero and Asylum in the Snow by Lawrence Durrell What is madness? Is madness a brain disorder or a chemical imbalance? On the other hand, is it an expressed behavior that is far different from what society would believe is "normal"? Lawrence Durrell addresses these questions when he explores society's response to madness in his short story pair "Zero and Asylum in the Snow," which resembles the nearly incoherent ramblings of a madman. In these stories, Durrell portrays how sane, or lucid, people cannot grasp and understand the concept of madness. This inability to understand madness leads society to fear behavior that is different from "normal," and subsequently, this fear dictates how they deal with it. These responses include putting a name to what they fear and locking it up in an effort to control it. Underlying all, however, Durrell repeatedly raises the question: who should define what is mad? In line with these questions, Durrell emphasizes that the inability to understand often leads to fear. Moreover, with little or no knowledge of an event or concept, people tend to feel powerless and out of control. Without this necessary understanding, they are unable to have any influence on the situation. One such situation is madness, which is little understood, and the source of madness virtually unknown. People often fear madness, and try to avoid others who seem "weird," different, or exhibit some sign of madness. The people who fear are "poor cattle, they do not understand" ("Zero" 266), and "they will never discover†¦for they have no faith" ("Zero" 264). Durrell encourages them to put away their fears and stop looking for a logical explanation to "madness": "Come. Enter into the creative activity in which you do not need your understandings. Do not mistake truth for the possessive process any longer – ratiocination, knowledge" ("Zero" 252; emphasis added). Durrell believes that not everything needs a "rational" and "logical" explanation. Furthermore, though "madness" cannot be completely explained, it does not need to be feared. The old man in the asylum attempts to understand, "look[ing] profoundly cautious, asking questions, and gathering the answers" ("Zero" 268), and he comes close to understanding the narrator. However, his fear keeps him from grasping the truth: "For the first time there is an understanding in him, but it is hidden in fear" ("Zero" 258). Throughout the two stories, there are many instances where Durrell portrays this fear brought by a lack of understanding.

Essays --

Nazia Riaz Mr. Ian Wendt Muslim World December 13, 2013 Final Paper Beginning more than 1400 years ago, Islam has spread from the small trading town of Makkah on the Arabian Peninsula and became a world religion practiced on every continent. Like other world religions. Islam has been spreading ever since its origin. Both through migration of Muslims to new places and by individuals who have accepted Islam as their religion having chosen to convert from other religions. During the first century after Muhammad began preaching, there was rapid expansion of the territory under Muslim rule. The Muslims took over as a result of military campaigns. This territory did not instantly become Islamic, meaning that most people rapidly became Muslims. Rather the spread of Islam among the population took centuries even in the regions conquered in the seventh century. In this era Islamic faith and civilization encompassed extensive new areas of Eurasia and Africa. The continuing spread of Islam was closely connected to the migrations of conquerors and herding folk and to the growth of Muslim commercial enterprise all across the hemisphere. By about 1400 CE Muslim societies spanned the central two thirds of Afro-Eurasia. New Muslim states and towns were appearing in West Africa, the East African coast, Central Asia, India, and Southeast Asia. Consequently Muslim merchants, scholars, and a host of long-distance travelers were the principal mediators in the interreg ional exchange of goods, ideas, and technical innovations. Makkah was a huge trading center which really contributed to the spread of Islam. Merchants liked trading with Muslims. Religiously Muslims couldn’t add interest on anything which buyers really liked. Merchants dealing with Musl... ... to new areas. On the other hand, the Ottoman Empire in southeastern Europe or the Sultanate of Delhi and the later Mogul empire of India had success in spreading Islam. They did gain territory. Non Muslim populations seem to have viewed these powerful tax-gathering Muslim rulers negatively, and so they resisted conversion to Islam. Whoever did embrace Islam in such circumstances if not for material gain, they usually did so because of the efforts of merchants, teachers, and traveling Sufi preachers who were not part of the government. Through 600 to 1000 CE the Islamic world had expanded beyond its original territories through war, trade and cultural diffusion. As it interacted and expanded across Africa, Asia, the Mediterranean, and the Byzantine Empire the Islamic world spread the influence of its culture and religion, turning Islam into a great world religion.

Regard to the play Essay

The 1st act of any play is more than just an exposition. It shows the strengths and weaknesses of the playwright clearly. Comment on this in regard to the play. There are certain aspects the playwright has to keep in mind when he writes the first act of his play. Usually, most of the first acts of plays are as already mentioned, expositions. The writer introduces the protagonist, the antagonist, the setting of the time. Moreover, not only does he set the mood for the rest of the play but he also starts building some dramatic tension between his characters and starts giving us hints about what is going to happen next. But apart from all this, the most difficult thing the playwright has to do in the first act is make it interesting and gripping. This is extremely significant because if the first act of the play is not gripping enough, the readers won’t like to go ahead. This situation is just like how, on a bad foundation, any kind of structure won’t last long and so nothing can be built upon it. So, the dramatist is supposed to catch the reader’s interest and then retain it too, making the first act almost like a mini play in itself. To make the first act attention-grabbing, the dramatist must introduce a conflict – between characters, between situations – and thus build the dramatic tension of the play. This is similar to what Ibsen did in doll’s house. He not only made the readers meet Nora Helmer but he also showed changes in her character in the first act itself. At the outset, Nora was very frivolous and perky but later in the act, she seemed a much more mature woman than one perceived before. Thus Ibsen, as a writer, managed to take his readers through all the subtle nuances in Nora’s character. This came out as Ibsen’s major strength. He showed Nora as silly yet sensible, lying yet truthful, making her character a complete rollercoaster for the readers in the first act itself. The other characters he introduced were torvald and mrs. linde. Where both these characters came to be very linear, Mrs. Linde’s role was more than just Nora’s friend. She was a foil which Ibsen introduced to make us understand Nora in a much better way by contrasting her with Mrs. Linde. Therefore, as one can see, Ibsen took so much pain, put in so much effort, only for making us relate to Nora in as much depth as possible. This was also Ibsen’s another strength which came up in the first act. It was his asset because he knew that his protagonist is unconventional since she is going to walk out on her husband and children for something which people in that time thought to be very trivial – self-respect. Therefore, he recognized the fact that he must do something to make his readers relate with Nora’s emotions and so he used the techniques of contrasting – by using mrs. linde as foil, foreshadowing – by hinting in Nora’s dialogues about what is going to happen later in the play and showing and telling and thus created such an act where if nothing, at least he left the readers curious about Nora and wanting to know more about her and about what happened to her, if not curious about the rest of the play.