There are many projects known to the public, which have received Essay

There are many projects known to the public, which have received attention by the media because of their perceived failures. Select a well-known project and conduct research into its perceived failures - Essay Example This particular project aimed at the modernisation of the corporation’s production by designing a connected network between the digital productions along with the media assets to assist staff members when sharing, developing and using videos and/or audio materials (BBC, 2013). Unfortunately, due to the lack of proper planning and confusion, the project was eventually closed in the year 2013 even before being completely functional, owing to BBC’s management board’s perceived failure (Charette, 2013). Emphasising this particular instance of project failure, this study intends to discuss about the reasons behind the failures of project management by comparing with the various relevant literature studies based on the similar aspect. Additionally, the study will also reflect about the recommendations on the basis of the effective project management theories. The study will also focus on the implementation of the effective project management for deriving positive outcomes and reduce the increased rate of project management failures. BBCs DMI project failure depicts managerial confusions along with the improper planning framework as the principle reasons for project breakdown. Accordingly, it has been observed that failure in having a proper understanding of the project, but the execution team as well as the manager was another reason accountable for the failure of the DMI project. On further note, the BBC’s Chief technology officer, Mr. John Linwood was dismissed due to the failure of the DMI project, indicating a major proportion of liability to be held by the management team of the project for the loss company had to bear in consequence. The project, DMI, was developed with a view to reduce the inefficient use of video tapes by BBC staff, which required new in-house tools to be developed. The entire plan concentrated on the formulation of a new in-house tool to support the system,

Java Spring MVC Programming Introduction Essay Example | Topics and Well Written Essays - 1000 words

Java Spring MVC Programming Introduction - Essay Example This module of the spring framework supports all popular data access frameworks in Java: oracle, JDBC, oracle toplink, Apache OJB, JPA, JDO, Hibernate, Apache Cayenne etc. For all the supported frameworks, spring provides Resource management, Exception handling, Transaction participation, Resource unwrapping, Abstraction The transaction management module brings a mechanism of abstraction to the Java platform with the following capabilities: ability to work with nested transactions, ability to work with savepoints, ability to work on local and global transactions, ability to work on almost all Java platform environments. It provides a first class support which is used for the purpose of testing spring MVC apps without a servlet container and with a fluent API. Tests on the server side use the DispatcherServlet while tests on the client side make use of the RestTemplate. This class has a @ExceptionHandler method which is used to handle standard spring MVC exceptions and return a ResponseEntity that allows customization and writing of responses with HTTP message converters. The structural elements of a spring application contains various elements which include introduction page, A page controller, A unit test class for the page controller (Risberg, et al., 2009), A view page and the DispatcherServlet (this is known as the Front Controller and is used by the web server based on the configuration on in

Patterns in River Flow Data

Patterns in River Flow Data Introduction The hydrologic response of a watershed is based on interactions between landscape characteristics and climatic characteristics input; as the soil property descriptors, geomorphologic descriptors, geologic descriptors and land use varies among different watersheds, the watersheds could respond very differently to precipitation (Mohamoud, 2004). The main aim of this coursework is to assess the impact of recent climate change on river flow; to uncover its significance in affecting river flow by analysing and comparing river flow records from National River Flow Archive, and to highlight and assess the differences in the hydrologic response to climate change of the three chosen rivers with contrasting characteristics, located in the UK. The three rivers chosen to be analysed includes the East Avon, the River Dove and the River Greta, all with natural catchments (natural to within 10% at Q95), with no known major artificial changes to the catchment that would influence the flow of the rivers, in order to attempt to focus solely on the effect of climate change (CEH, n.d.). The catchments examined all similar in size: 83000m2 for River Dove at Izaak Walton, located in central England; 86100m2 for Greta at Rutherford Bridge, located in north- east England; 85800m2 for East Avon at Upavon, located in south- west England (CEH, n.d.). Figure 1 showing the locations of the three gauging station on three separate maps of the UK (CEH, n.d.) Apart from the differences in location (figure 1.), there are also contrasting catchment characteristics. East Avon at Upavon predominantly consists of 64.5% of upper greensand and lower chalk of 27%; the remaining 8.5% consists of middle chalk, upper chalk, clay, as well as gault, plus river gravel and alluvium at the bottom of the valley (CEH, n.d.). In comparison, the Greta at Rutherford Bridge catchment is known to be steep, and it mainly consists of millstone grit (CEH, n.d.). Finally, in contrast, Dove at Izzak Walton is known to be long and narrow (CEH, n.d.). It mainly consists of mudstone, millstone grit and sandstone, with underlying carboniferous limestone forming the left hand watershed (CEH, n.d.). When looking at the catchment statistics in relation to the geology, East Avon’s catchment consists of 40.3% of high permeability bedrock, with 59.7% moderate permeability bedrock (CEH, n.d.). In contrast, Greta and Dove’s catchment consists of 100% of moderate p ermeability bedrock (CEH, n.d.). Besides the obvious difference in geology, the sites also vary differently in terms of their climatic characteristics, as shown in table 1.1, 1.2 1.3, and finally, land cover also varies among the three river catchments, as shown in table 2 (Met Office, n.d.; CEH, n.d.). Table 1.1 averages table showing climate data for the England SE Central S District, which covers period 1981-2010 (Met Office, n.d.) Table 1.2 averages table showing climate data for the Midlands District, which covers period 1981-2010(Met Office, n.d.) Table 1.3 averages table showing climate data for the England E NE District, which covers period 1981-2010(Met Office, n.d.) Table 2- Catchment statistics of Land Cover for each of the three catchments (CEH, n.d.). Methodology The river flow data obtained from these three gauging stations, between the year of 1973 and 2013 were used for analysis. In order to observe and identify flow pattern for each of the chosen sites, as well as to identify any change in the hydrological regime of the three rivers due to recent climate change at the sites, the three sets of river flow data from National River Flow Archive (NRFA) was first imported on to a spread sheet, where the flow measurement/ reading of each river were sorted in to order, according to the hydrological date of the measured flow. The data was then plotted as follows: Discharge vs. time Monthly flow vs. time A flow duration curve for flow frequency analysis Mean discharge vs. Hydrological year Julian date Next, visual inspection of the graphs was carried out, and the graphs produced for each river were directly compared to assess how seasonal and time – series patterns of flow differ across the three sites, and to determine whether all three sites showed the same pattern of flow through time. Results and Discussion In order illustrate the seasonal river flow pattern in the three catchments; figure 2 shows hydrographs for the three rivers. The location of these catchments is shown in figure 1, and characteristics are presented in the introduction. Upon inspecting the hydrographs, the following observations were made (points of reference are labelled as A on the hydrographs): East Avon’s mean discharge peaks at 1.17 m3s-1, on day 130 Greta’s mean discharge peaks at 6.81 m3s-1, on day 69 Dove’s mean discharge peaks at 3.35 m3s-1, on day 82 Figure 2-Hydrographs for three rivers, showing the mean discharge vs Hydrological year Julian date, plus a graph for comparison between the rivers’ mean discharge over days According to a study on UK river flow regimes, Hannaford et al. (2012) had suggested that UK river flow regimes can be considered temperate precipitation/evapotranspiration dominated, rather than snowmelt dominated. This means that the seasonal cycle will be mainly driven by evapotranspiration, leading to higher flows in winter and lower flows in summer, with the spring and autumn as transition seasons (Hannaford et al., 2012). When referring back to the peak discharge observations above, all three rivers conformed to the same general pattern, as day 82, 69 130- the days where the mean discharge has reached the peak for the three river all lies within the winter period, indicating that the flow will be high during winter days. Furthermore, the hydrographs also shows that, for all three rivers, the mean discharge appeared to be relatively low, and have all remained low between day 280 -320 for all three rivers (section B on the hydrographs), during the summer period. Figure 3- Monthly Discharge vs. Hydrological Year Date graph for all three rivers, with a secondary axis corresponding to the mean monthly discharge curve In terms of the consistency of the flow, figure 3 shows East Avon’s maximum minimum curve, and its mean curve look very similar- the curves are almost overlapping one another which shows a low fluctuation in flow. This suggests that the flow of the river is very consistent. In contrast, the other two rivers have less consistency. This can be observed when comparing the max, min and mean curve in Dove’s graph- the general shape of the curves are very similar to one another, yet there are a few points in the graph where there are some very noticeable differences, where the mean curve tend to have a greater fluctuation and peaks at higher discharge points compared to the other two curves, thus showing that it is generally consistent, but the consistency is lower compared to East Avon. Finally, Greta’s corresponding graph displays great fluctuation; although both max and mean curves are both similar and conforms to a similar pattern, it is clear that the min curve l ooks a lot flatter, with a pattern that is not very similar to the other two curves within the graph. This indicates that Greta’s consistency between years is relatively poor. Although all three river exhibit similar seasonal flow patterns, there are still notable difference in their response time. The occurrence of lag time and the difference between the response times of the three sites can be explained by the difference in the catchment’s physical characteristics and its underlying geology. When referring back to the peak discharge data, East Avon displays a lagged response, peaking at day 130, as opposed to peaking at days closer to 82 and 69 (days of which Dove and Greta reached its peak). This significant variation can caused by East Avon’s catchment geology, as it consists of 40.3% of high permeability bedrock, with 27% of chalk in the catchment, as opposed to 0% of high permeability bedrock in the other two catchments; the high permeability bedrock and the highly permeable chalk means that groundwater storage plays a significant role in effecting the runoff regime of the East Avon catchment, which lead to East Avon’s discharge peaking at around February, towards the end of the winter period, as opposed to peaking towards the start of the winter period, like the other two rivers have. Next, in order to illustrate the reason behind Greta’s earlier peak, in comparison to Dove’s later peak at day 82 (figure 2), the physical feature of both catchments must be examined in detail. Both catchments have an identical percentage of moderate permeability bed rock, and both are similar due to the fact that the catchments both consist of Millstone Grit. However, the topography are significant different between the two catchments. Since Greta’s catchment is significantly steeper when compared to the Dove’s catchment, as illustrated in figure 6 and table 3, Greta will have a more responsive regime compared to Dove due to a quick run- off rate of precipitation. This could also provide an explanation to why the mean discharge curve in the Greta hydrograph is subjected to a greater level of daily variation in comparison to the other two sites and their respective hydrographs. Figure 4- Flow duration curves for all three sites, with an additional graph (bottom graph) combing the Q* data (Discharge Ratio where Q*= Q/Q50) of three sites for comparison- note that scale of Q* is in Logarithmic Scale (Base:10) Figure 5- Flow duration curves for all three sites, with an additional graph (bottom graph) combing the Q* data (Discharge Ratio where Q*= Q/Q50) of three sites for comparison- the scale of Q* has been adjusted to go from 0-6 for comparison Additionally, figure 4 shows that Greta’s curve has the steepest slope, followed by Dove, and then by East Avon with the flattest slope. The observations mirrored those findings above precisely; Greta’s steepest slope indicates a highly variable river, and the flow mainly consists of direct runoff (Searcy, 1959). In contrast, curves with a flatter slope (e.g. East Avon with the flattest curve) which means they have a more constant flow, and can signify the existence of surface and/or groundwater storage – in East Avon’s case, highly permeable chalk acts as storage for water, which equalized the flow of the river (Searcy, 1959). Furthermore, in figure 5, the graph also provides information on the three rivers’ frequencies of very high flows and very low flows. When employing the parameters of Q*=5 for high flow, and Q*=0.2 for low, the curves shows that Greta exhibits a significantly lower proportion of time flow lower than the Q* of 5, whereas the c urves for Dove and East Avon are very similar, with a much higher proportion of time flow less than Q* of 5, meaning that high flows occurs a lot less frequently in Dove Avon in comparison to Greta. In terms of low flow, three rivers are all dissimilar in their frequency of low flow. Greta’s proportion of flow less than 0.5 is ≈0.02, whilst Dove’s proportion is ≈0.16, with East Avon’s proportion is ≈0.34. East Avon’s higher proportion of time flow less than 0.5 means that the occurrence of low flow is more frequent in East Avon, and in comparison, Dove has got a relatively lower frequency of low flow, and Greta with the lowest frequency of low flow over the years within the sample period. Table 3- Elevation data for Greta and Dove’s catchment (CEH, 2014) Figure 6-Elevation Map of England. This map shows the significant difference in elevation between the North of England and the South of England. (Windpower Program, n.d) As seen in figure 7, the flows of all three rivers do seem to conform to a similar pattern over time, with no significant changes in the temporal pattern and frequencies of flood/ droughts. However, upon further inspection, the graph shows that the magnitude of the floods for all three rivers had increased over time; the high flow peaks have seemed to be higher in more recent years. This phenomenon can possibly be explained by global climate change; as global temperature increase, this leads to an increase in water vaporing the atmosphere. As suggested by Milly et al. (2002 cited Das et al, 2013), Kunkel et al. (2013 cited Das et al., 2013) and Trenberth (1999 cited Das et al, 2013), storms are likely to yield more extreme peak precipitation rates, which can lead to more intense floods around the globe (Groisman et al., 2005 cited Das et al, 2013). However, although the trend identified above is consistent with climate change, it is also consistent with variability driven North Atlan tic Oscillation (Hannaford, 2013). With the significant knowledge gap in the understanding of long term multi-decadal variability in flow driven by NAO, along with the lack of long term flow data available for this report, it will be premature to attribute specific steam flow trends to anthropogenic climate change (Hannaford, 2013). Figure 7- Hydrograph showing change in river discharge between 1973- 2012 Summary Conclusion In conclusion, river flow regimes of the three assessed rivers are heavily dependent on catchment geological characteristics and climate. Climate plays a major role in effecting the flow, as the relatively temperate climate in England meant that the dominant factor in effecting flow regimes are precipitation/ evapotranspiration, which leads to the occurrence in flow variation between seasons as rate of evapotranspiration varies. In relation to climate, among the three rivers, there were observed changes in peak flow and flood magnitude over time, which global climate change might be responsible for, as it can lead to precipitation extremes, which in turns lead to more run-off and higher river flow. Besides that, variation in geology also contributes to the difference in hydrology of each river, as groundwater storage can affect the rate of run- off, which in turns affects the flow and the response of the three rivers. Finally, anthropogenic influences can affect flow regime of rivers (Schneider et al, 2013). However, there is no significant evidence to show how these had modified the flow of the rivers. Reference Centre for Ecology Hydrology (n.d) 43014- East Avon at Upavon. National River Flow Archive. [Map , Catchment Description Flow Record] Retrieved from http://www.ceh.ac.uk/data/nrfa/data/peakflow.html?43014 (Last accessed on 07/11/2014) Centre for Ecology Hydrology (n.d) 28046 Dove at Izaak Walton.. National River Flow Archive. [Map , Catchment Description Flow Record] Retrieved from http://www.ceh.ac.uk/data/nrfa/data/peakflow.html?28046 (Last accessed on 07/11/2014) Centre for Ecology Hydrology (n.d) 25006 Greta at Rutherford Bridge. National River Flow Archive. [Map , Catchment Description Flow Record] Retrieved from http://www.ceh.ac.uk/data/nrfa/data/peakflow.html?25006 (Last accessed on 07/11/2014) Groisman, P.Y.; Knight, R.W.; Easterling, D.R.; Karl, T.R.; Hegerl, G. ; Razuvaev, V.A.N. (2005) Trends in intense precipitation in the climate record. Journal of Climate, vol 18, no. 9, 1326-1350. Cited in Das, T; Maurer, E. P.; Pierce, D. W.; Dettinger, M.D.; Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110. Hannaford, J (2013) Observed long- term changes in Uk river flow patterns: a review. A climate change Report car for water. Hannaford, J.; Buys, G. (2012) Trends in seasonal river flow regimes in the UK. Journal of Hydrology, 475. 158-174. Kunkel, K.E.; Karl, T.R.; Easterling, D.R.; Redmond, K.; Young, J.; Yin, X, Hennon, P. (2013) Probable maximum precipitation (PMP) and climate change Geophys. Res. Lett., 40 Cited in Das, T; Maurer, E. P.; Pierce, D. W.; Dettinger, M.D.; Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110. Table 1. Met Office (no date) UK climate – District England SE Central S [Table/ Data] Retrieved from http://www.metoffice.gov.uk/public/weather/climate/gcneyctf3 (Last accessed on 08/11/2014) Table 1. Met Office (no date) UK climate District Midlands [Table/ Data] Retrieved from http://www.metoffice.gov.uk/public/weather/climate/gcqbgpgqh (Last accessed on 08/11/2014) Table 1. Met Office (no date) UK climate District England E NE [Table/ Data] Retrieved from http://www.metoffice.gov.uk/public/weather/climate/gcwzegx04 (Last accessed on 08/11/2014) Milly, P.C.D.; Wetherald, R. T.; Dunne, K.A.; Delworth T.L. (2001) Increasing risk of great floods in a changing climate Nature, 415 (2002), pp. 514–517. Cited in Das, T; Maurer, E. P.; Pierce, D. W.; Dettinger, M.D.; Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110. Mohamoud, Y. (2004) Comparison of hydrologic responses at different watershed scales: EPA Report EPA/600/R-04/103 Searcy, J .K . (1959), Flow-duration curves : U .S . Geological Survey Water-Supply Paper 1542-A Schneider,C.; Laizà ©,C.L.R.; Acreman,M.C.; Flà ¶rke,M. (2013) How will climate change modify river flow regimes in Europe?, Hydrol. Earth Syst. Sci., 17, 325-339 Trenberth, K.E. (1999) Conceptual framework for changes of extremes of the hydrological cycle with climate change Climate Change, 42 (1999), pp. 327–339. Cited in Das, T; Maurer, E. P.; Pierce, D. W.; Dettinger, M.D.; Cayan, D.R. (2013) Increases in flood magnitudes in California under warming climates.Journal of Hydrology501, 101-110. Figure 6. Windpower Program (no date) Estimating mean wind speed. [Map] Retrieved from http://www.wind-power-program.com/windestimates.htm (Last accessed on 08/11/2014)

The Power of DNA in the Courtroom Essay -- Exploratory Essays Research

The Power of DNA in the Courtroom      Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   In 1893, Francis Galton introduced a remarkable new way to identify people ("Fingerprinting" pg 1 par 3). His observation that each individual has a unique set of fingerprints revolutionized the world of forensics. Soon, all investigators had adapted the idea to use fingerprints as a form of identification. Unfortunately, over the course of the past century, criminals have adapted to this technique and seldom leave their incriminating marks at the crime scene. Forensics specialists were in need of a new way to identify criminals, and DNA provided the answer. When it comes to genetic material, it is virtually impossible for a criminal to leave a crime scene "clean." Whether it is a hair, flakes of skin, or a fragment of fingernail, if it contains genetic material then it has potential to incriminate. However, there are still concerns regarding DNA fingerprinting. What are the implications of using these tests in a courtroom scenario? What happens when DNA tests go awry? It is debatable whether or not DNA fingerprinting has a place in America's court systems.    The actual technique behind DNA profiling is fairly new. According to the National Research Council (NRC), this method has been around for about ten years. They go on to say that despite "reproducibility and reliability of the methods" and "despite the potential power of the technique, there [are] serious reservations about its actual use" (NRC pg 1). Still, laboratories across the United States have undergone technological advances to bring DNA testing to the local level. These up-dated labs now have the equipment and means to handle genetic evidence, but the public must be ready to accept this ne... ...advances in genetic technology, and I believe it will not allow the courts to base their decisions solely on genetic evidence until all procedures are accurately performed. This is, after all, just one more system of identification, one that may prove to be even more momentous than Galton's fingerprints ever were. Works Cited Ballantyne, Jack, George Sensabaugh, and Jan Witkowski. DNA Technology and Forensic Science. New York: Cold Spring Harbor Laboratory Press, 1989. Fingerprinting. Homepage. 1 May, 1997. AIMS Education Foundation. 22 October, 1999. <http://www.aimsedu.org/activities/gimmefive/gimme2.html>. National Research Council. The Evaluation of Forensic DNA Evidence. Washington, D.C.: National Academy Press, 1996. Singer, Colin R.. DNA Testing. Homepage. 22 October, 1999. <http://www.singer.ca/dna.html>

Small Team Group Paper

Paper I recently worked in a small group for my employer. The team included five of us. We had signed up to volunteer to serve at a benefit luncheon for M. S. Our previous general manager had been diagnosed with M. S. And stepped down from her position in order to take care of her health. The luncheon was very important to all of us. We were all of different personalities from five different walks of life. We were all girls. Each group always had that one out spoken person, one who was the caboose, and he other three of us where somewhere in the middle of the two personalities that stood out.One of the major problems we had with this group was that the one girl just loved to gab. I think if she could make a living for talking, she'd be a millionaire. Therefore, she would walk around, which we were encouraged to do, and talk to all those who attended. But she took advantage of the freedom to do so. At the luncheon we had sold well over 500 tickets, that didn't include the people who w alked in and bought a ticket at the door. So with being down one person we began to slip behind.We were running out food because our line of communication to the kitchen to refill was cut off, we had tables that needed clean, guest that needed assistance. Because this girl would run off and disappear we had to pull one girl from one station to pick of the slack, so we were constantly always moving around. Once we were able to find a rhythm and the girl came back we set some ground rules. She was not happy being told what to do since it was volunteer work, but we were there for one reason and it as to help raise money for a good cause.We didn't nominate a leader of the group. We figured we were all grown adults there to do grown adult work. We believed we didn't need a leader. We were able to all speak our minds to one another and agree on rules that needed to be enforced so we were successful. We also were representing the company we were working for at the time and did not want to set a bad example or lose our Job over something so silly. Making sure that our time was successful was our number one priority .Us girls all got along so well and liked each there that we wanted the five of us to continue to be able to work together in a team and represent our company at future events such as the one we were working at. Another goal we had was to make the over all luncheon a success. We wanted to help raise as much money for M. S. As possible so next year more people would want to come out and help support the cause. The communication among our group was great. We all had communicated on a daily basis at work. We would text each other on the weekends.None of us were real close until we started working in the groups gather. We were all honest with each other. I think that because we had an open line of communication and were honest with one another that that's what strengthen our relationship between the five of us. Ever since I worked in a group with these five gir ls, it makes me want to work more and more in groups. Sometimes with the same five girls I started with, and sometimes with new people. I enjoyed getting to know these young ladies, and because of it I have build a lifetime friendship. We did go on working more charity events for the community.Our goals for each and every event were always the same. Be positive, we are the face of our company so we had to be the role model, be successful as a whole, engage with the people, make them want to come back to other events we would be doing in the future. We all took to one another so when we had an opinion about something we were all open for discussion. We never took each others criticism to heart, we often would laugh about it and fix the issue that was at hand. Over all we enjoyed each other's company because it passed the time and made working with a group enjoyable.

Othello and Guess Who’s Coming to Dinner Comparative Essay

The transformation between Othello, a 16th century Shakespearean tragedy and Guess Who’s Coming to Dinner, a 1960’s Romantic Comedy, can be compared by addressing themes that are present in each text. The theme of race can be used to compare the different attitudes of each context, surrounding the significant black characters of Othello in Othello and John in Guess Who’s Coming to Dinner, and there interaction with white females that belong to an upper middle class. The theme of interracial marriages can be used to compare the different values and attitudes of each context, towards a black & white marriage. This applies to both Othello & Desdemona and John & Joanna. By exploring the different contexts, ideas and techniques incorporated into each text, we can apprehend the different messages that each composer has attempted to convey to their audience. Othello – Power of Love Othello is a Shakespearean tragedy, set in Elizabethan Times that present the relationship between, Othello, a ‘moor’ who’s an official in the Venetian army and Desdemona, the daughter of a noble Venetian Senator, Brabantio, and how despite their different experiences in love, a strong relationship can occur, without any initial external input. Desdemona’s assertive behaviour towards romantically pursing Othello, demonstrates her confidence and power, which she maintains throughout the play. Most significantly, the fact that Othello did not ask for Brabantio’s permission to marry Desdemona, demonstrates how Othello did not consider the traditional values of Elizabeth society. However as they play develops, Iago’s manipulation of Othello’s insecurities, leads to the relationship between Othello and Desdemona falling apart. This reflects Elizabethan society and its values towards love and marriage. In Elizabethan times, a marriage between a man and a woman was considered extremely important. Women were generally considered to be in the possession of their father, this was because men were considered powerful and important people. It was in the father’s power to determine whom their daughter married, provided that his family were respectable and had money. A marriage between a ‘moor’ and a white would not have been socially acceptable in Elizabethan times, seeing that the Moorish skin colour portrayed a sense of filth and evil. Whites being superior and educated, while others were considered inferior. This theme can be explored through the objectification of Desdemona in scene 1 Act 3 Lines 182-187 â€Å"How to respect you. You are lord of all my duty: I am hitherto your daughter. But here’s my husband: And so much duty as many mother showed To you, preferring you before her father, so much I challenge that I may profess Due to the moor, my lord.† We see that Desdemona, is detaching herself from her father, just as her mother did to her father. This demonstrates her power and her ability to make decisions despite her father’s approval.