Effect of Light Intensity on Photosynthesis

Effect of Light Intensity on Photosynthesis Plants occur around the world in a wide variety of environments. Plants are able to adapt to their surroundings because of photosynthesis. What affects the rate of photosynthesis? First, one must be able to identify what photosynthesis is. Photosynthesis is processing light. The formula for photosynthesis is 6H2O + 6CO2 à ¯Ã†â€™Ã‚   C6 H12O 6 + 6O 2. This ultimately means that water and carbon dioxide produce sugar as the plants energy, then the plant releases oxygen and water stays in the roots of the plant. Photosynthesis takes place in the chloroplast and chlorophyll will not absorb green light, therefore, while all the colors like violet, indigo, blue, yellow, orange, and red are being absorbed by the tree, green is being reflected that being the reason why plants are green. Proposed Explanation Different shades of light affect the rate of photosynthesis. The dependent variable for this hypothesis was the plants that we used. The independent variable was the different shades of light which were green, blue, and yellow. We placed each plant under each shade of light to get more accurate results. The control was just the normal experiment where we placed each plant under the light without any shade of light. We chose this experiment because plants do not absorb green light, they reflect it. So we figured different shades of light would have a direct affect on the rate of photosynthesis. Fertilizer has a direct effect on the rate of photosynthesis. The dependent variable for this hypothesis were different plants from experiment one. The independent variables were the different amounts of fertilizer we added to each plant. The control for this experiment was testing each plant without any fertilizer. After we tested the control, we added 100mL, then 105mL, then 110mL to each pla nt after each test. We chose to test the affects has fertilizer on photosynthesis, because fertilizer helps plants grow, therefore we believe photosynthesis would take place at a faster pace. Baking soda has an effect on the rate of photosynthesis. The dependent variable for this experiment was three different plants than the ones used in experiment two. The independent variables were the amounts of baking soda added to each plant. The control for this experiment was testing each plant without any baking soda. Then we put one pinch in each plant then tested it, then we added another pinch to each plant and tested it, then we added another pinch to each plant for a total of three pinches to complete our experiment. We chose to test the affects baking soda has on photosynthesis because if we add baking soda it will make carbon dioxide which ultimately allows the rate of photosynthesis to increase. Predicted Results The majority of our experiments that we were going to conduct we felt we would have a pretty common sense idea of the outcomes. Here since we are testing the amount of oxygen produced in our three different hypothesis, we will first try the different shades of light, different amounts of fertilizers, and if the amount of baking soda has anything to do with the plants photosynthesis. Our first hypothesis was the different shades of light would affect the amount of oxygen produced by the plants submerged in the water. First we would do our controlled experiment of no light shade. Here we would predict that the plant would absorb some of the colors which in return would produce an average amount of oxygen. We predicted that if the shade of light shined on the plant was green then the outcome of the oxygen produced would be fairly low since plants tend to reflect green light away from them. After we would test the green light we would move onto the yellow light. Here we predicted that the plant would produce a nice amount of oxygen since the plant absorbs multiple colors besides green and relatively absorbs yellow more since the majority of light given off the sun is yellow. Next we would try the blue light. We felt that since the light was going to be blue that the oxygen produced would be fairly low because the light absorbed from the plants tends to be higher in the yellow and orange areas. The next set of predicted results would be if the amount of fertilizer added to the plants would affect the amount of oxygen given off. Since fertilizers are used to help plants grow and photosynthesize we felt that maybe fertilizer will also increase the amount of oxygen created. We felt that the more fertilizer that was added then the more oxygen would be produced. First we will do our control of no fertilizer added. Here again we feel that the plant would just give off a normal or average amount of oxygen off. If we added 100 ml of fertilizers to the plants we predicted that a low amount of oxygen would be given off. Only because we predicted that a higher amount of fertilizer would increase the amount of oxygen. Next we would give an extra 50 ml of fertilizer to the plants. Since more fertilizer was added again we predicted that an increase of oxygen would occur. Finally an additional 50 ml of fertilizer was added. Here since that is 200 ml we predicted that the amount of oxygen given off would at least be doubled from the 100 ml that was added earlier meaning that this should be a higher amount of oxygen produce overall. Lastly we would predict the baking soda amounts and the oxygen produced. The reason we chose to test the baking soda is because if introduced to the water near the plant this would increase the amount of carbon dioxide absorbed from the plant. The more carbon dioxide absorbed, the more bubbles created by the plant. This would be our weakest hypothesis because we feel that the amount of carbon dioxide received would not really reflect the amount of oxygen produced because our original instinct was that it would have to do with light absorption. First we would test the controlled experiment of having no baking soda added at all. Once again our predicted result would be that an average or normal amount of oxygen would be produced. Next we would try adding a pinch of the baking soda to the water where the plant is. Here we would predict that little or no change would occur to the plant oxygen production. Actual Results After completing our multiple tests, we found that the majority of our predicted results were actually correct. After doing the control experiment, we realized without having anything enhance the plants that there was an average of 11 to 13 bubbles produced within a minutes span. Our first hypothesis, different shades of light, was what we really felt strong about and also was the one we felt would prevail to be the best supported. And that is was. Since plants have a higher preference to absorb yellow light we predicted that it would produce the most oxygen under the yellow film. That it did, the yellow produced the most oxygen bubbles out of all the different shades of light. The different films in general produced the most oxygen bubbles. Our third trial that we did seemed to produce an unusual amount compared to the rest. Underneath the yellow film in one minute it produced 79 oxygen bubbles. This was inconsistent with the rest of our results. Next we did the second hypothesis wh ich was fertilizer effected the amount of oxygen produced. Earlier explained, fertilizer is used to increase the rate at which plants photosynthesize by providing the nutrients needed. The plants really were not affected at all from the fertilizer producing an average amount equal to the control. The average was at 13 bubbles a minute and was the same throughout all three trials. Our third hypothesis, carbon dioxide effects the amount of oxygen produced was also at a low average of 11 to 13 bubbles a minute. This experiment really held no inconsistencies as well. All together we felt that the different shades of light had to do a lot with the amount of oxygen produced and now we feel this hypothesis was supported through the amount of oxygen bubbles that were produced. Here we have a graph that shows the average amount of bubbles that were produced in each trial(s). Conclusion The first of our hypotheses we tested for was that different shades of light affect the rate of photosynthesis. Based on our experimental results our data supported our first hypothesis, because for all of the different light shades we used in our experiment each of the plants for the most part produced either more or less oxygen bubbles than the control, supporting that light shades do in fact effect the rate of photosynthesis. Our data showed that plants tend to photosynthesize at the fastest rate in yellow light than anything else as they produced the most amount of oxygen bubbles in the amount of time. The test results could easily be reproduced to produce the same results if the given materials were the same and more trials were to be done with more plants to make sure that the experiment was not a fluke. The first possible margin for error in these tests is the size, and condition of the plant. This causes a problem, as the plants could be larger possibly absorbing more carbon dioxide, which means more oxygen bubbles would be produced. The plant also could be less fresh possibly producing less oxygen. The second margin for error is the type of light, which in turn would affect possibly the heat of the water maybe having an effect on the photosynthesis rate. The last margin for error is miscalculating the time on either the preparation period, or the observed time allowing for more bubbles to be produced. The addition of fertilizer effects the rate of photosynthesis was our second hypothesis, this hypothesis was not supported by our hypothesis, because the results were so varied that it was nearly impossible to tell whether the addition of fertilizer affected the rate of photosynthesis in any way. The reason that we have came to this conclusion was because though at 100ml each of the plants produced a lower oxygen amount when we tested for the 110ml the results were near identical to the control, meaning that fertilizer did not affect the rate of photosynthesis. This is a simple experiment to conduct and could easily be repeated for the same results, given that our procedure was executed as it shouldve been. The results could also be because we added the fertilizer in a large amount then added only small 5ml amounts for the other two trials which might not have made much of a difference. A better way to conduct this wouldve been to start by adding 50ml of the fertilizer, then 100ml then 150ml, which have a greater difference between them than 5ml intervals, so if the fertilizer was to make a difference it would become more apparent at which level the fertilizer caused the plants to demonstrate that change in photosynthesis rate. Another could be possible incorrect measurement of the fertilizer into the plants, which would provide one or more, more or less fertilizer than the other plants, corrupting the experiment. This causes a problem because it would make it so that different levels of fertilizer concentrations were in each of the plants, giving each a different level of nutrients. The plants too may not have had enough time to fully absorb the fertilizer into their roots, making it s o that there would appear to be no change in the rate at which each plant photosynthesizes. The last hypothesis we tested for was that the addition of baking soda to the plants water would affect the rate of photosynthesis. This hypothesis was supported, because the plants produced more bubbles when carbon dioxide was added to the water than the control which contained none. Our research showed that adding baking soda in fact did increase the rate of photosynthesis, because through the control all of the plants did not produce more than 3 oxygen bubbles, but when baking soda was added the plants created more oxygen, thus supporting that adding baking soda to the plants would affect their photosynthesis rate. The experiment could be recreated for the same results, given that the person recreating it has a tool that measures in pinches. The margins for error for this experiment include: inaccurate measurements of baking soda per plant, possibly not enough time to let the baking soda absorb into the plant, and how well the baking soda was distributed within the water. Inaccurate measurements or baking soda would have produced different amounts of carbon dioxide amongst each of the plants producing different oxygen levels. The baking soda might not have received enough time to absorb into the plant on the tests with larger amounts, thus making it appear that the amount of baking soda is for the most part irrelevant, just so long as there is some in there. The distribution of the baking soda within the water could also have been a place for error, as there is a possibility that the baking soda did not get evenly distributed throughout the plant thus making the water have different levels of concentration of carbon dioxide, because there could be clumps of baking soda sitting their preventing a quick, complete diffusion of the carbon dioxide molecules. Effect of light intensity on photosynthesis Effect of light intensity on photosynthesis Plants which obtain energy from sunlight and carbon dioxide to make carbohydrates are the process called photosynthesis. Then plants will take carbon dioxide from the atmosphere, add some water and use the energy of sunlight to form sugar.  The overall equation can be summarized as below: 6CO2 + 6H2O  Ã‚  Ã‚   C6H12O6 + 6O2 In biology, the requirements for photosynthesis are chlorophyll, carbon dioxide, light and water. In fact, most of photosynthesis occurs in the chloroplast, Chlorophyll absorbs sunlight then converted to chemical energy during the process of photosynthesis.(Campbell 2008) There are two stages for photosynthesis. They are light reaction and dark reaction. Firstly, light energy splits water into oxygen and hydrogen during the light reaction. Then NADP and hydrogen add together and form NADPH2.After that, oxygen atoms join each other and form O2, at this time it released in the atmosphere.(Bailey 1997) Moreover, light energy generates ATP from ADP. The light reaction can also be summarized as below: 2H2O + NADP + ADP + P sunlight O2 + NADPH2+ ATP Chlorophyll Hydrogen is transferred into dark reaction. Then oxygen is released. It only occurs in the presence of light. Therefore, NADPH2, O2 and ATP are the products of light reaction. Secondly, carbon fixation occurs in the dark reaction has shown as below: ATP + NADPH2 + CO2 > ADP + P + NADP + glucose Enzyme use NADPH2 and ATP as the energy to convert to carbon dioxide. And carbon dioxide is absorbed from the atmosphere in dark reaction.(Bailey 1997) And then CO2 is converted into carbohydrates such as glucose. The concentration of water, carbon dioxide, the temperature and the light intensity are the most common environmental factors to affect photosynthesis (Lincoln 2010). So the aim of this scientific experiment is to investigate the effects of light intensity on the rate of photosynthesis. Methods_____________________________________________________________ Kept all the beakers and test tubes to be used on ice.Stalks are removed from leaves and leaves are ground in 200mL solution of buffer A.Buffer A was a mixture of potassium dihydrogen orthophosphate 10mM,disodium hydrogen orthophosphate 10mM and magnesium chloride 5mM. Then the extract is poured through the two layers of muslin into a beaker and suspension is also poured through eight layers of muslin into other beaker. The centrifuge spun the suspension at full speed in one minute. Then suspension is poured off and green chhloroplast is produced in total of 15mL solution of buffer C and it stored in ice for use.Buffer C was a solution same to buffer A but without magnesium chloride. Used the different pipettes to perpare the solution of buffer B at 6.7mL and 0.2mL chloroplast solution into a test tube.Mixed each solution well.Zero the spectrophotometer using 1.0mL of mixture at absorbance wavelength of 590nm.The spectrophotometer is used to measure how much light that the mixture absorbed. Used the different pipettes to prepare the solution of buffer B at 6.7mL, 0.2mL of chloroplast solution and 0.1mL of the dye into another test tube. Mixed each solution well and put it into the cuvette.The cuvette was placed at 0.3m for 60s from the lamp and the optical density of 1.0mL of this solution was measured with the spectrophotometer. All readings noted in the table and the optical density of solution was measured again. Repeated the same process at 0.5m, 0.7m,0.9m,1.0m from the lamp and each distance had a new mixture. The chloropast solution should kept in ice in this experiment to make sure that the solutions did not have any reaction until they placed under the light. Recorded the optical density at 590nm in each different distance from the lamp. Results______________________________________________________________ Rate of dye reduction Distance from light intensity (m) The graph shows that the distance from light intensity are increased when the rate of dye reduction decrease between 0.3m to 1.1m. That mean the rate of photosynthesis also decreases in this graph. The maximum rate of dye reduction is 0.398 at 0.3m from the light and the minimum rate of dye reduction is 0.045 ate 1.1m from the light. According to the data of the above graph, Q1=0.065, Q3= 0.345 and IQR =0.28. The lowest rate of dye reduction is 0.065-1.5 x 0.28 = -0.355. In this case the lowest rate of dye reduction from the data lies above -0.355, so there is no outlier. On the other hand, the upper rate dye reduction is 0.345+1.5 x 0.28 = 0.765.Hence there is no outlier also. The data are positively skewed distribution because the data trend from the left to the right. Discussion____________________________________________________________ During the photosynthesis, the light intensity will increase when the rate of photosynthesis increase.(Pang 2006) In my result, the distances from light intensity are increased when the rate of photosynthesis decreases, which mean when the light intensity decrease, the rate of photosynthesis also decreases. In this case, my result is true. There are some experimental errors in this experiment. It is hard for us to make sure the chloroplast solution will not active until they were placed under the lamp because there were the other light from the surrounding in the room such as neighbour lamps. So the experiment should be done in a dark room that can reduce the effect of the light and the result will become more accurate .Also, more cuvette should be provided because it will effect the result if some of cuvette was not clean well. Moreover, there are some limitations in this experiment. Different solution should be used different pipette to prevent the other solution will add on the result.Also, meaured the volume of each solution that can help to reduce variations.Furthermore, placed the test tube of chloroplasts in the ice because this can ensures the temperature of the test tube is not affected by the heat realeased from the lamp. As temperature might affect the enzyme activity of the plant and hence the rate of photosynthesis. Light is needed for photosynthesis in plants. When chloroplasts in the leafs cell are facing to light,they form ATP from ADP. Oxygen is produced during the photosynthesis. (Campbell 2008) According to my result, light energy increases when more water molecules are split into oxygen. At this time, the light reaction occurs faster and more ATP and NADPH2 are produced.Therefore, it will have more sugar and oxygen formed in dark reaction.In this case thre rate of photosynthesis increases.

Fault Analysis in Power Transmission Lines using Elliptical Behaviour of System Parameters

Mistake Analysis in Power Transmission Lines utilizing Elliptical Behaviour of System Parameters Abstraction—Power transmittal lines which form the anchor of the electrical power system may be subjected to assorted mistakes. The demand of the hr is to observe and sort the mistakes every bit rapidly as possible to guarantee quality uninterrupted power supply. This paper discusses a simple theoretical account to observe and sort mistakes based on the egg-shaped behaviour of the system. The theoretical account based on MATLAB, is user friendly even to unskilled workers. Keywords— mistake, transmittal lines, mistake types, mistake sensingI. IntroductionIn a 3 stage transmittal line, mistakes may happen at any clip. The causes of mistakes may be environmental or semisynthetic. Mistakes are loosely classified into series and shunt mistakes. A series mistake denotes the unfastened circuit status. Shunt mistakes are of assorted types based on how many lines are affected. Initially the technique of mistake location was based on the use of synchronised electromotive force measurings at the sending and having terminal [ 1 ] . The method was applied to both transposed and untransposed lines. It reduced many mistakes in mistake analysis. To better the mistake sensing distinct ripple transform and unreal nervous webs were used [ 2 ] . The nervous webs were trained utilizing MATLAB and daubechies ripple was used. The preparation clip was less in this method but was complicated. Another fresh method discussed mistake categorization based on initial current going moving ridge [ 3 ] . Wavelet transform was adopted to pull out the going moving ridge from station mistake signals. Following this, mistake analysis methods utilizing fault-feature extraction were used [ 4 ] . Besides delays were introduced to mensurate post-fault values of system parametric quantities. Mistake surveies were done in transformers besides [ 5 ] . Voltage current venue diagram was constructed and based on image processing techniques, mistakes were classified. New methods of mistake sensing use two-end nonsynchronous measurings of the line and the advantages are the usage of digital engineering and numerical relaying [ 6 ] . The new method does non depend on mistake opposition, beginning electric resistances and pre-fault currents. Similar to the mistake analysis in transformers discussed above, mistake categorization in transmittal lines can be done [ 7 ] . The method uses wavelet transform and egg-shaped behaviour of the system. The above discussed methods involve complicated analysis and calculation in assorted signifiers. The mistake sensing mechanism should be user friendly and be every bit simple as possible. Hence, it is concluded that it is necessary to develop a simplified method to observe and sort mistakes in transmittal lines. When the mistakes are detected and classified beforehand, it becomes easy for the individuals to rectify it within a short period of clip. This paper discusses a simple technique to observe and sort mistakes. The venue of the electromotive force and current signifiers an oval. Using the oval belongingss we can reason if a mistake has occurred or non and sort it.II. ELLIPTICAL BEHAVIOURVoltage and current in the transmittal line may be taken as: V ( T ) = Vmwickedness ( ?t ) ( 1 ) I ( T ) = Imwickedness ( ?t- ? ) ( 2 ) Where, Vmand Imare the peak values, ?=2?f, cos ? is the power factor. The venue of the electromotive force and current signifiers an oval. The chief belongings of the oval taken for the mistake analysis is the eccentricity. As the eccentricity varies the oval size and country besides varies. Fig.1. Elliptical venue of electromotive force and current in a transmittal line with eccentricities ( a ) 0.9612, ( B ) 0.9994 III. Working The proposed theoretical account takes in electromotive force and current values and plots the oval. This oval is compared with the healthy oval on footing of eccentricity. When the eccentricity of the current oval ( TocopherolC) does non lie in the scope of healthy oval eccentricity ( TocopherolHydrogen) so a mistake is said to hold occurred. The oval is once more compared with pre-defined oval for assorted mistakes to obtain values as given in Table.1 From this tabular array mistake categorization is done and the consequence is displayed. In the tabular array values are assigned to all stages to observe multiple mistakes besides.Table.1. Look-up tabular array for mistake categorizationFAULT IN EACH PHASEType OF FAULTPhase 1Phase 2Phase 3000Normal status11012 LL01123 LL10113 LL2001-G SLG0202-G SLG0023-G SLG22012-G DLG02223-G DLG20213-G DLG222123 BTP3001 OC0302 OC0033 OC3301,2 OC0332,3 OC3031,3 OC3331,2,3 OCThis look up table aid to sort Single line to land mistake ( SLG ) , Line to line mistake ( LL ) , dual line to land mistake ( DLG ) , Balanced three stage mistake ( BTP ) and unfastened circuit mistake ( OC ) .III. SIMULATION RESULTSThe construction of the resulting eclipsiss are given below: A. Single line to land mistake A individual line to land mistake has occured in stage 2 while the other stages are healthy as shown in Fig.3. Fig.3. Single line to land mistake B. Line to line mistake A line to line mistake has occured in stages 2 and 3 while the other stage is healthy as shown in Fig.4. Fig.4. Line to line mistake C. Double line to land mistake A dual line to land mistake has occured in stages 1 and 2 while the other stage is healthy as shown in Fig.5. Fig.5. Double line to land mistake D. Balanced three stage mistake A Balanced three stage mistake has occured in the line as shown in Fig.6. Fig.6. Balanced three stage mistake E. Open circuit mistake Open circuit mistake has occured in the line as shown in Fig.7. Fig.7. Open circuit mistake V. CONCLUSION The advantage of the proposed theoretical account is that it is really simple to implement. It is based on a mathematical background and is less complex. Presents, happenings of mistakes have increased. Hence it is really of import to observe and rectify the mistakes every bit shortly as possible. Mentions [ 1 ] Sukumar M. Brahma and Adly A. Girgis ( 2004 ) ‘Fault Location on a Transmission Line Using Synchronized Voltage Measurements’ , IEEE trans. , power del.,vol 19, no. 4. [ 2 ] Chiradeja P. and Ngaopitakkul A. , ( 2009 ),‘Designation of Fault Types for Single Circuit Transmission Line utilizing Discrete Wavelet transform and Artificial Neural Networks’ , Intl. MultiConf. of Engineers and Computer Scientists vol II. [ 3 ] Xinzhou Dong,Wei Kong and Tao Cui, ( 2009 )‘Fault Classification and Faulted-Phase Selection Based on the Initial Current Traveling Wave’ , IEEE trans. , power del. , , vol. 24, no. 2. [ 4 ] Yusuff A.A, Jimoh A.A and Munda J.L, ( 2011 ) ‘Determinant-based characteristic extraction for mistake sensing and categorization for power transmittal lines’ , IET Gen. , Trans. , Distr. [ 5 ] Abu-Siada and Syed Islam, ( 2012 )’A Novel Online Technique to Detect Power Transformer Winding Faults’ , IEEEtrans. Power del. ,vol 27, no. 2. [ 6 ] Dine Mohamed, Sayah Houari, Bouthiba Tahar, ( 2012 ) ‘Accurate Fault Location Algorithm on Power Transmission Lines with usage of Two-end Unsynchronized Measurements’ , Serbian Journal of Elec. Engg. , vol. 9, no. 2, pp. 189-200. [ 7 ] Andre de Souza Gomes, Marcelo Azevedo Costa, Thomaz Giovani Akar de Faria, and Walmir Matos Caminhas, ( 2013 ) ’Detection and Classification of Faults in Power Transmission Lines Using Functional Analysis and Computational Intelligence’ , in IEEE trans. Power Del. , vol. 28, no. 3.

Read What Gurus are Saying About How to Write Essay about Myself

Read What Gurus are Saying About How to Write Essay about Myself Top How to Write Essay about Myself Choices Frequently, the conclusion contains a judgment or decision that's reached via the reasoning described throughout the essay. An introduction should begin with a strong statement, and finally, the author should present the thesis statement by relating it to what's being described. Word vomiting, also called free-writing, is the simplest thing to do when you begin. In a lot of the circumstances, it's great to pick the topic. You might have your topic assigned, or you can be given free reign to write on the topic of your pick. Take pleasure in the procedure for describing the subjectit may be a rewarding experience. For starters, it can help you save you plenty of time and effort on subjects which aren't your major. The primary reason is the dearth of practical wisdom and the lack of much free time due to other home tasks in a lot of subjects. The End of How to Write Es say about Myself Normally, most readers receive the best representation of something through using their senses! Describing people essays let you demonstrate your creativity and capability to make the correct choices. Your essay should be structured in a way that helps your topic to earn sense. Descriptive essay have a special power and appeal. The writer should concentrate on several different aspects. Don't forget that not every man has the ability to tell an excellent story in 500 words. The more passion you've got for a writing topic, the simpler it'll be to convey that emotion to your audience and generate a fantastic descriptive essay. Sooner or later in the descriptive essay, you will need to spell out the influential individual. Only writers that are interested in your topic place will place a bid that will help you. Deceiving your reader isn't a thankful issue to do. You're free to discuss anyone you believe deserves particular attention. Sometimes reading som ething out loud can help recognize any problems that ought to be worked out. The Number One Question You Must Ask for How to Write Essay about Myself If you would rather make an outline, write your topic at the peak of the webpage. All the tips mentioned previously are extremely helpful. You should attempt to use dominant and specific information. What You Need to Do About How to Write Essay about Myself Beginning in the Next 4 Minutes Though the conclusion paragraph comes at the conclusion of your essay it ought not be regarded as an afterthought. Ultimately, the conclusion paragraph produces an overview of the entirety of your essay. Then it's required to make an outline. Creating a descriptive essay outline aids in writing a superior descriptive essay. Writing an excellent essay demands certain skills that is able to make your thoughts read and voice heard in an ideal way. You may also read your essay to other individuals to receive their feedback. It's very beneficial to read different essays if you would like to learn to write excellent papers. There are broadly four kinds of essays. How to Get Started with How to Write Essay about Myself? To gain from all the perks listed previously may have to come across a business with some credibility and experience a company like samedayessay.com. Presently, the wealthiest individuals and organizations around the world have substantial interests with the net. Moreover, our site blog incorporates free writing tips and tutorials to help prospective clients in addition to for students who only require academic guidance. These days, there are lots of services onli ne that provide essay writing help to people.

My Reflection On The Scarlet Ibis - Free Essay Example

Sample details Pages: 3 Words: 895 Downloads: 8 Date added: 2019/08/02 Category Literature Essay Level High school Tags: The Scarlet Ibis Essay Did you like this example? I did not know then that pride is a wonderful, terrible thing, a seed that bears two vines, life and death (Hurst 3). This quote said by the narrator shows how many memories it brings back from Doodle. This is stated by the narrator also because he wants to say that pride is brought to be proud of something that is done or by someone, but the cause can   be two, which is by doing a substance that is unacceptable or a substance that is with quality. Don’t waste time! Our writers will create an original "My Reflection On The Scarlet Ibis" essay for you Create order Jame Hursts in The Scarlet Ibis is a short story which shows how one brother teaches his disabled brother to , but at the end of the story, it shows how the narrator let his pride force him into sacrificing the ones that he loves and shows guilt by leaving his brother in the storm to die. When the narrator and Doodle went to the Horsehead Landing and there was a storm. Doodle screams for his brother to not leave him, but his brother does not listen. Doodle tells his brother this when his brother left him behind the storm because the narrator thought Doodle failed his expectations. The narrator left his brother because he was embarrassed by him, but when he does not hear Doodles screams anymore, he shows worry that something might have happened to him. The quote also represents that he left his brother in the storm because he wanted his brother to overcome his fear, but with the cause of his brothers death. The narrator feels embarrassment by his brother, but what he does, he does not see the consequences it will cause him and the regret. James Hurst represents the idea of pride and guilt which pushes the narrator to cause his brother harm in order to   have someone play with him. Pride is what inspires people to accomplish acceptable points, and yet pride also causes people to behave foolishly, and also the guilt that is shown by the narrator for what has happened to Doodle. For example, the narrator shows his pride by stating, when he constantly has been pushing Doodle to do things that he can not and is incapable of doing, but did it for his own selfish reasons. The doctor had given warnings of not making Doodle do any physical movements, but the narrator did not even listen to any of the instructions given by the doctor.   The doctor has told the parents to not turn Doodle on his stomach because the narrator states , The doctor said that with his weakheart the strain would probably kill him, but it didnt (Hurst 1). This demonstrates pride because the narrator does the exact opposite of what was told by the doctor and does not even stop him from doing what he does to Doodle. For example, the narrator did not once even care because he always thought of his brother as a burden and embarrassment to him, so the narrator would do the opposite of what he was told to his brother. When Doodle was taken care by his brother, he would make Doodle do more of physical movements and not listen to the doctors. The narrator would even state, To discourage his coming with me Id run with him across the end of the cotton rows and careen him around corners on two wheels. Sometimes I accidentally turned him over (Hurst 2). This illustrates how reckless and selfish the narrator was towards Doodle and he uses his pride to get his brother to run and play because he only wanted someone to play with him.   For example, the narrator felt guilt when he forced Doodle to open his own casket and since Doodles death was shocking it adds more memories to the narrator of guilt and most of all is that he thinks he did something wrong. The narrator feels guilt when he says He was born when I was six and was, from the outset, a disappointment (Hurst 2). This words he uses for his brother illustrates that the narrator knew that his brother has a disability and it was harsh of the narrator to say this, but   if Doodle has been living a longer life than the brother mightve seen his mistakes. For example, the narrator feels guilt when he left Doodle behind the storm. When he left Doodle behind he did not think of any his consequences. The narrator states, Doodle was frightened of being left (Hurst 6). The narrator knew that Doodle has always feared of being alone, but it shows that he might of have felt guilty because for leaving Doodle back and the cause of Doodles death.For example, the narrator feels guilt when he has said that his brother was a disappointment and an embarrassment. He was born when I was six and was, from the outset, a disappointment (Hurst 1). The narrator knew or felt that he was to harsh on his brother with his words, but he feels guilty because of every thought he has had of Doodle. Guilt is shown how it influences many remember their lives and it shows how it impacts Doodles live.   Overall pride and guilt is shown in the Scarlet Ibis because the narrator has let his pride get over himself that he has lost his brother and now feels the pain of losing someone he has loved, but never has shown it.