Thursday, October 31, 2019

Nurse Political Leader Speech or Presentation Example | Topics and Well Written Essays - 750 words

Nurse Political Leader - Speech or Presentation Example The leadership relationship in transaction based type is put to thrive in the exchange scenario where the subordinate continuously serves the leader in exchange for what is offered in return. The bargain in context reveals that though there may lack the favourable conditions and environment for the followers or subordinates to deliver under normal circumstances, the leader goes further to provide the required conditions necessary to deliver. The leader therefore defines the criteria to be followed at the exchange of benefits to the subordinates (Hartog, Muijen & Koopman, 1997).Transformational leadership on the other hand refers to the leadership style that offers emotional attachment instead of the award entitlement. Transformational leaders inspire their subordinates towards the course of achieving the set goals and objectives (Pastor & Mayo, 2006). The leaders behaviour through which the followers easily identify with drive the leadership. Transactional and transformational leader ship are seen to ascribe to the trait theory in that in cases, personality as well as intelligence that they exhibit distinct them from the common person’s traits (Anon, 2009). ... For instance, in 2009, the representative consented to and approve the prohibition of use of tobacco as a drug and supported the formulation of the ‘children’s health insurance program’. Concerning the bill to confer to mental health full attentions like the physical health in 2008, she supported. She is equally quoted to have supported and campaigned on supporting SCHIP to cover more children in the nation within the previous years. Concerning damages on lawsuits about medical practices, she rejected the bill to lower the 250000-dollar damage costs in the year 2004. These among other significant positions in her political career have been very instrumental in defining her leadership in matters of medical concern (Anon, 1999-2012). However, her political career has had a great blow, which would serve as a draw back in her efforts to competently defend her positions and propositions regarding formulation of laws on health because of her ailment in cancer (Weiner, 2 013). In 21 June 2013, the House of Democrats adopted and incorporated the representative’s priorities and initiatives in the federal education bill as proposed for the week. The representative is quoted to have been very vocal in education matters where she ascertains that passing better educational bills would be very instrumental in shaping the destiny and future of the US as a whole. Her priorities in the education bill in the house of senate include smarter and better funding to education, civic rights protection as well as better accountabilities for students, family engagement in children education, student health as a necessary tool for excellence in education and safety plans for schools. Moreover, the bill advocates for

Monday, October 28, 2019

Knowledge for Nursing Essay Example for Free

Knowledge for Nursing Essay This essay will explore Peplau’s concept of a nurse-patient relationship and how it narrates to the experience I had whilst on placement practice. My aim is to demonstrate my gained understanding of the nursing process, the domains of nursing, the nature of nursing models and their relationship to practice and Peplau’s model of nursing. The reason why the student has chosen this concept is because nursing is an interpersonal process which involves interaction between two or more people with a mutual goal, (George 2003). The essay will start by defining the word concept then describe the incident that I observed in placement practice. The essay will analyze how theories can be used to justify nursing interventions in practice. The conclusion summarises the main points of the essay and reflect on my learning experience. (Meleis 1991) defined concept as â€Å"a label used to describe a phenomenon or a group of phenomena† (McKenna 1997). (McKenna 1997) concludes that concepts are identified when a name is put to a phenomenon. â€Å"Therefore, a concept is a tool and not a real entity – it merely facilitates observation of a real phenomenon,† (McKenna 1997 p8). Chinn and Kramer (2008); Hage (1972); Reynolds (1971) were cited that concepts can be theoretical or tangible. Theoretical concepts are created mentally independent of a particular or interval location, whereas tangible concepts are experienced directly and relate to a specific interval or location (Alligood and Tomey, 2010). â€Å"Nursing is a significant, therapeutic, interpersonal process. It functions co-operatively with other human processes that make health possible for individuals in communities. In specific situations in which a professional health team offers health services, nurses participate in the organisation of conditions that facilitate natural on going tendencies in human organisations. Nursing is an educative instrument, a maturing force that aims to promote forward movement of personality in the direction of creative, constructive, productive, personal, and community living. † (Peplau 1988, p16) Peplau (1952) defined phases in the nurse-patient relationships that overlap and transpire during the relationship interval. George (2002) cited the three phases defined by Peplau are as follows; orientation, identification, working, and termination. Whilst on Placement I had the prospect to put theory into practice with the supervision of my mentor when Mrs. Ahmed aged 85 was admitted into the ward after having had a fall (false name and age due to confidentiality, Nursing and Midwifery Council 2003). During handover it was reported that Mrs. Ahmed was at times unresponsive and seemed uninterested when addressed to by the nurse on duty upon admission, leaving the nurse to rely on the information obtained from the ambulance crew as she was unaccompanied. Upon arrival Mrs. Ahmed had not been able to get up from the stretcher as she was not weight bearing after the fall and appeared to be confused with the new environment. It was hoped that more information would be obtained in the morning when she awoke. Orientation stage My mentor gave me an opportunity to work with Mrs. Ahmed whilst under her supervision and it was obvious that the information we had was not complete. To get further information we went to her bedside which was in a mixed ward were we were introduced to the new patient. The orientation phase is initiated when a health problem occurs thus resulting in a felt â€Å"felt need, and professional assistance is sought. † Peplau (1952, p. 8) Peplau (1952) further states that the nurse and patient meet as two strangers, by clarifying and defining the problem in the orienting stage the patient can direct the accumulated energy from her anxiety about unmet needs and begin working with the presenting problem. The nurse patient rapport is established and continues to be strengthened while concerns are being identified. The nurse assumes a roles as described by Peplau in the overlapping phases of the nurse client relationship. Lebby and Pepper (1998) sees the nurse in the role of a stranger therefore acceptance of the patient as an emotionally able person is required. It is at this early stage I noticed that Mrs. Ahmed was unresponsive and seemed distant when my mentor asked for her consent to be assisted by a trainee nurse under her supervision (Nursing and Midwifery Council Code 2008). After asking her more than once she eventually responded and accepted the request. xxxxx When my mentor spoke to Mrs. Ahmed was clear and slow, and asked closed questions. Ashworth et al (1981) suggest that the quality and quantity of nurse-patient communication in geriatrics is affected by the nurse as well s the patient although some of the traditional attitudes by nurses toward elderly patients posed barriers to communication. Orem (1991) viewed the relationship between a nurse and patient as being complementary and therefore a nurse has to understand the basis of her own behavior. I noticed that the patient had some hearing aids on her bedside and I then considered that she might be having hearing impairment and was either not keen on using her hearing aids or needed assistance putting them on. I asked her if she was happy putting the hearing aids on her own. She attempted to put them on but seemed unsteady with her hands. I gestured that I could help and she extended them to me. I then helped her to put them on. George (2002) sees the working phase as a time when the patient starts to respond selectively to individuals who can meet their needs. Peplau (1952/1988) identified three types of responses from patients; the patient may participate and be interdependent, or be autonomous and independent from the nurse or be passive and dependent on the nurse (George 2002). Peplau (1952/1988) states the patient utilises the relationship fully by making full use of the nurse (Leddy and Pepper 1998). Peplau (1952) describes six nursing roles within the phases of the nurse patient relationship which are; stranger, resource person, teacher, leader, surrogate and counseling. She further described four psychobiological experiences, in her book which are; needs, frustration, conflict and anxiety. Peplau (1952) saw these experiences as energy providers transforming into action and provides a basis for goal formation and nursing interventions. Mrs. Ahmed showed she was becoming more relaxed and became more trusting and cooperative. Arnold and Underman Boggs (1999) suggested that the dynamic nursing approach Peplau advocated is not that of passive observer but participant observers, nurses actively engaging with their clients. I initiated further verbal dialogue and realised that although she could hear me she was struggling to understand what I was saying to her. Her replies where brief and at times not relevant to the questions posed. It became obvious that since English was not her first language she was struggling to understand me and her conversational English skills were basic. I then slowed my rate of speech and emphasised with gestures where appropriate. That way she seemed to comprehend what I was saying better. Forchuk (1993) mentions two types of communication, verbal and non-verbal communication, verbal communication conveyed by words and non-verbal communication conveyed through empathic links, postures, gestures, and patterns (Forchuck 1993). Peplau (1952/1988) considers the use of verbal communication to be an essential component of the nurse-client relationship (Forchuk 1993). The general principle is that anything clients act out with nurses will most probably not be talked about, and that which is not discussed cannot be understood. † Peplau (1989a p. 197). Forchuk (1993) suggest that discussing issues and concerns presents the patient an option to work them out. Thus nursing knowledge enables nurses to justify actions or stop unsafe or poor practices (Nursing and Midwifery 2003, The Code). Mrs. Ahmed was reluctant to have me assist her with personal hygiene although it was obvious that she needed it and it was also documented in her notes that she was not independent in this respect. She said something about being used to doing things for herself and how it was expected in her culture to clean one’s own body, she then suggested to wash herself and would ask for help when in difficulty. After washing herself, I took the opportunity of getting more information about Mrs. Ahmed, her family and health Data collection is constant throughout Peplau’s phases. George (2002) state that in the nursing process, primary collection of data is the nursing assessment, and further collection of data becomes an integral part of reassessment. The need for Mrs. Ahmed ‘s relations to be present compliments George (2002) statement that the nurse, patient and relatives need to work together in order to simplify and explain the problem at hand. Peplau (1995) discusses the need for the nurse to not only support but health educate the patient’s relations thus decreasing the tension and anxiety connected with the felt need and fear of the unknown thus the avoidance of future problems arising from unresolved significant events(George 2002). Peplau (1952/1988) states the importance of clarity on both parties in the relationship as their past experiences will influence their expectations in this progression. I also made her aware of her condition and situation whilst being conscious not to give advice, but rather asking her questions which we needed answers for, to help resolve her care needs. Peplau (1988) stated that the exploitation phase is where the nurse assists the patient to seek out other health care services and personal strengths in resolving the issues for which the client initially sought treatment. She thanked me for having explained everything she needed to know and for my patience during my interaction with her on that day. Peplau (1952/1988) saw the termination phase as a liberating process wherein the client’s wishes for psychological dependency and maintaining relationships have been worked through to support the ability to mutually end the relationship with the nurse (Leddy and Pepper 1998). Peplau views this phase as problematic for nurses as the progression of letting go is focused upon (Simpson1991).

Saturday, October 26, 2019

Speaker Recognition System Pattern Classification

Speaker Recognition System Pattern Classification A Study on Speaker Recognition System and Pattern classification Techniques Dr E.Chandra,  K.Manikandan,  M.S.Kalaivani Abstract Speaker Recognition is the process of identifying a person through his/her voice signals or speech waves. Pattern classification plays a vital role in speaker recognition. Pattern classification is the process of grouping the patterns, which are sharing the same set of properties. This paper deals with speaker recognition system and over view of Pattern classification techniques DTW, GMM and SVM. Keywords Speaker Recognition System, Dynamic Time Warping (DTW), Gaussian Mixture Model (GMM), Support Vector Machine (SVM). INTRODUCTION Speaker Recognition is the process of identifying a person through his/her voice signals [1] or speech waves. It can be classified into two categories, speaker identification and speaker verification. In speaker identification task, a speech utterance of an unknown speaker is compared with set of valid users. The best match is used to identify the speaker. Similarly, in speaker verification the unknown speaker first claims identity, and the claimed model is then used for identification. If the match is above a predefined threshold, the identity claim is accepted The speech used for these task can be either text dependent or text independent. In text dependent application the system has the prior knowledge of the text to be spoken. The user will speak the same text as it is in the predefined text. In a text-independent application, there is no prior knowledge by the system of the text to be spoken. Pattern classification plays a vital role in speaker recognition. The term Pattern defines the objects of interest. In this paper the sequence of acoustic vectors, extracted from input speech are taken as patterns. Pattern classification is the process of grouping the patterns, which are sharing the same set of properties. It plays a vital role in speaker recognition system. The result of pattern classification decides whether to accept or reject a speaker. Several research efforts have been done in pattern classification. Most of the works based on generative model. There are Dynamic Time Warping (DTW) [3], Hidden Markov Models (HMM) , Vector Quantization (VQ) [4], Gaussian mixture model (GMM) [5] and so forth. Generative model is for randomly generating observed data, with some hidden parameters. Because of the randomly generating observed data functions, they are not able to provide a machine that can directly optimize discrimination. Support vector machine was introducing as an alternative classifier for speaker verification. [6]. In machine learning SVM is a new tool, which is used for hard classification problems in several fields of application. This tool is capable to deal with the samples of higher dimensionality. In speaker verification binary decision is needed, since SVM is discriminative binary classifier it can classify a complete utterance in a single step. This paper is planned as follows. In section 2: speaker recognition system, in section 3, Pattern Classification, AND overview of DTW, GMM, and SVM techniques .section 4: Conclusion. SPEAKER RECOGNITION SYSTEM Speaker recognition categorized into verification and identification. Speaker Recognition system consists of two stages .speaker verification and speaker identification. Speaker verification is 1:1 match, where the voice print is matched with one template. But speaker identification is 1:N match, where the input speech is matched with more than one templates. Speaker verification consists of five steps. 1. Input data acquisition 2.feature extraction 3.pattern matching 4.decision making 5.generate speaker models. Fig 1: Speaker recognition system In the first step sample speech is acquired in a controlled manner from the user. The speaker recognition system will process the speech signals and extract the speaker discriminatory information. This information forms a speaker model. At the time of verification process, a sample voice print is acquired from the user. The speaker recognition system will extract the features from the input speech and compared withpredefined model. This process is called pattern matching. DC Offset Removal and Silence Removal Speech data are discrete-time speech signals, carry some redundant constant offset called DC offset [8].The values of DC offset affect the information ,extracted from the speech signals. Silence frames are audio frames of background noise with low energy level .silence removal is the process of discarding the silence period from the speech. The signal energy in each speech frame is calculated by using equation (1). M – Number of samples in a speech frames, N- Total number of speech frames. Threshold level is determined by using the equation (2) Threshold = Emin + 0.1 (Emax – Emin) (2) Emax and Emin are the lowest and greatest values of the N segments. Fig 2. Speech Signal before Silence Removal Fig 3. Speech Signal after Silence Removal This technique is used to enhance the high frequencies of the speech signal. The aim of this technique is to spectrally flatten the speech signal that is to increase the relative energy of its high frequency spectrum. The following two factors decides the need of Pre-emphasis technique.1.Speech Signals generally contains more speaker specific information in higher frequencies [9]. 2. If the speech signal energy decreases the frequency increases .This made the feature extraction process to focus all the aspects of the voice signals. Pre-emphasis is implemented as first order finite Impulse Response filter, defined as H(Z) = 1-0.95 Z-1 (3) The below example represents speech signals before and after Pre-emphasizing. Fig 4. Speech Signal before Pre-emphasizing Fig 5. Speech Signal after Pre-emphasizing Windowing and Feature Extraction: The technique windowing is used to minimize the signal discontinuities at beginning and end of each frame. It is used to smooth the signal and makes the frame more flexible for spectral analysis. The following equation is used in windowing technique. y1(n) = x (n)w(n), 0 ≠¤Ãƒ ¯Ã¢â€š ¬Ã‚  n ≠¤Ãƒ ¯Ã¢â€š ¬Ã‚  N-1 (4) N- Number of samples in each frame. The equation for Hamming window is(5) There is large variability in the speech signal, which are taken for processing. to reduce this variability ,feature extraction technique is needed. MFCC has been widely used as the feature extraction technique for automatic speaker recognition. Davis and Mermelstein reported that Mel-frequency cepstral Coefficients (MFCC) provided better performance than other features in 1980 [10]. Fig 6. Feature Extraction MFCC technique divides the input signal into short frames and apply the windowing techniques, to discard the discontinuities at edges of the frames. In fast Fourier transform (FFT) phase, it converts the signal to frequency domain and after that Mel scale filter bank is applied to the resultant frames. After that, Logarithm of the signal is passed to the inverse DFT function converting the signal back to time domain. PATTERN CLASSIFICATION Pattern classification involves in computing a match score in speaker recognition system. The term match score refers the similarity of the input feature vectors to some model. Speaker models are built from the features extracted from the speech signal. Based on the feature extraction a model of the voice is generated and stored in the speaker recognition system. To validate a user the matching algorithm compares the input voice signal with the model of the claimed user. In this paper three techniques in pattern classification have been compared. Those three major techniques are DTW, GMM and SVM. Dynamic Time Warping: This well known algorithm is used in many areas. It is currently used in Speech recognition,sign language recognition and gestures recognition, handwriting and online signature matching ,data mining and time series clustering, surveillance , protein sequence alignment and chemical engineering , music and signal processing . Dynamic Time Warping algorithm is proposed by Sadaoki Furui in 1981.This algorithm measures the similarity between two series which may vary in time and speed. This algorithm finds an optimal match between two given sequences. The average of the two patterns is taken to form a new template. This process is repeated until all the training utterances have been combined into a single template. This technique matches a test input from a multi-dimensional feature vector T= [ t1, t2†¦tI] with a reference template R= [ r1, r2†¦rj]. It finds the function w(i) as shown in the below figure. In Speaker Recognition system Every input speech is compared with the utte rance in the database .For each comparison, the distance measure is calculated .In the measurements lower distance indicates higher similarity. Fig 7. . Dynamic Time Warping Gaussian mixture model: Gaussian mixture model is the most commonly used classifier in speaker recognition system.It is a type of density model which comprises a number of component functions. These functions are combined to provide a multimodal density. This model is often used for data clustering. It uses an alternative algorithm that converges to a local optimum. In this method the distribution of the feature vector x is modeled clearly using mixture of M Gaussians. mui- represent the mean and covariance of the i th mixture. x1, x2†¦xn, Training data ,M-number of mixture. The task is parameter estimation which best matches the distribution of the training feature vectors given in the input speech. The well known method is maximum likehood estimation. It finds the model parameters which maximize the likehood of GMM. Therefore, the testing data which gain a maximum score will recognize as speaker. Support Vector Machine: Support machine was proposed in 1990 and it is one of the best machine learning algorithms. This is used in many pattern classification problems. such as image recognition, speech recognition, text categorization, face detection and faulty card detection, etc. The basic idea of support vector machine is to find the optimal linear decision surface based on the concept of structural risk minimization. It is a binary classification method. The decision surface refers the weighted combination of elements in a training dataset. These elements are called support vectors. These vectors define the boundary between two classes. In a binary problem +1 and -1 are taken as two classes. The size of the margin should be maximized to characterize the boundary between two classes. The below example explains pattern classification by using SVM. In the fig 3(a), there are two different kinds of patterns taken for process. A line is drawn to separate these two patterns. In the fig 3(b),by using a single line the patterns are separated, the patterns are presented in two dimensional space. The similar representation in one dimensional space in the fig 3(c), a point can be used to separate patterns in one dimensional space. a plane that separates these patterns in 3-D space ,represented in the fig 3(d),is called separating hyper plane. . The next task a plane should be selected from the set of planes whose margin is maximum. The plane with the maximum margin i.e. perpendicular distance from the marginal line is known as optimal hyper plane or maximum margin hyper plane as shown in fig 3(f). The patterns that lie on the edges of the plane are called support vectors While classify the patterns, there may exist some errors in the representation, as shown in the fig 3(g), such types of errors are called soft margin. Sometimes ,these errors can be ignored to some threshold value. The patterns that can be easily separated using line or Plane are called linearly Separable patterns .Non-linear separable patterns (fig-j,k,l)are difficult to classify. These patterns are classified by using kernel functions . In order to classify non-linear separable patterns the original data’s are mapped to higher dimensional space using kernel function. CONCLUSION In this paper we have explained about speaker recognition system and discussed about three major pattern classification techniques, Dynamic Time Warping, Gaussian mixture model and Support Vector Machine. SVM will work efficiently on fixed length vectors. To implement SVM the input data should be normalized for better performance. In future, we have planned to implement these techniques in speaker recognition system and evaluate the performance. The performance of the models will also be evaluated by incrementing the amounts of training data. REFERENCES [1] Campbell, J.P., Speaker Recognition: A Tutorial, Proc. Of the IEEE, vol. 85,no. 9, 1997, pp. 1437-1462. [2] Sadaoki Furui., Recent advances in speaker recognition,Pattern Recognition Letters. 1997,18 (9): 859-72. [3] Sakoe, H.and Chiba, S., Dynamic programming algorithm optimization for spoken word recognition, Acoustics,Speech, and Signal Processing, IEEE Transactions on Volume 26, Issue 1, Feb 1978 Page 43 49. [4] Lubkin, J. and Cauwenberghs, G., VLSI Implementation of Fuzzy Adaptive Resonance and Learning Vector Quantization, Int. J. Analog Integrated Circuits and Signal Processing, vol. 30 (2), 2002,pp. 149-157. [5] Reynolds, D. A. and Rose, R. C. Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Trans. Speech Audio Process. 3, 1995, pp 72–83. [6] Solera, U.R., Martà ­n-Iglesias, D., Gallardo-Antolà ­n, A., Pelà ¡ez-Moreno, C. and Dà ­az-de-Marà ­a, F, Robust ASR using Support Vector Machines, Speech Communication, Volume 49 Issue 4, 2007. [7] Temko, A.; Monte, E.; Nadeu, C., Comparison of Sequence Discriminant Support Vector Machines for Acoustic Event Classification, ICASSP 2006 Proceedings, 2006 IEEE International Conference on Volume 5, Issue , 14-19 May 2006 [8] Shang, S.; Mirabbasi, S.; Saleh, R., A technique for DCoffset removal and carrier phase error compensation in integrated wireless receivers Circuits and Systems, ISCAS apos;03. Proceedings of the 2003 International Symposium onVolume 1, Issue , 25-28 May 2003 Page I-173 I-176 vol.1 [9] Vergin, R.; Oapos;Shaughnessy, D., Pre-emphasis and speech recognition lectrical and Computer Engineering†,Canadian Conference on Volume 2, Issue , 5-8 Sep 1995 [10] Davis, S. B. and Mermelstein, P., Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences, IEEE Trans. on Acoustic, Speech and Signal Processing, ASSP-28, 1980, No. 4. [11] Sadaoki Furui., Cepstral analysis technique for automatic speaker verification, IEEE Trans. ASSP 29, 1981,pages 254-272. BIOGRAPHIES Dr.E.Chandra received her B.Sc., from Bharathiar University, Coimbatore in 1992 and received M.Sc., from Avinashilingam University ,Coimbatore in 1994. She obtained her M.Phil. In the area of Neural Networks from Bharathiar University, in 1999. She obtained her PhD degree in the area of Speech recognition system from Alagappa University Karikudi in 2007. She has totally 15 yrs of experience in teaching including 6 months in the industry. Presently she is working as Director, Department of Computer Applications in D. J. Academy for Managerial Excellence, Coimbatore. She has published more than 30 research papers in National, International Journals and Conferences in India and abroad. She has guided more than 20 M.Phil. Research Scholars. Currently 3 M.Phil Scholars and 8 PhD Scholars are working under her guidance. She has delivered lectures to various Colleges. She is a Board of studies member of various Institutions. Her research interest lies in the area of Data Mining, Artificial Intelligence, Neural Networks, Speech Recognition Systems, Fuzzy Logic and Machine Learning Techniques. She is an active and Life member of CSI, Society of Statistics and Computer Applications. Currently she is Management Committee member of CSI Coimbatore Chapter. K. Manikandan received his Bsc from Bharathidhasan University, Tiruchirappalli in1998 and received his MCA from Bharathiadsan University, Tiruchirappalli in 2001. He received M.Phil in the area of soft computing from Bharathiyar university, Coimbatore in 2004. He has 12 years of experience in teaching. Currently, he is working as a Assistant Professor, Department Of Computer Science, PSG College of arts and Science, Coimbatore and pursuing PhD in Bharathiar University, Coimbatore.He has presented research papers in National and International Conferences and published a paper in International Journal. His Research Interest is Soft Computing . He is Life a member of IAENG. He has guided more than 4 M.Phil Research Scholars. Currently 3 M.Phil Scholars are working under his guidance. He has delivered lectures to various Colleges. M.S.Kalaivani received her BCA from P.S.G College of Arts and Science, Coimbatore, in 2005 and received her MCA from National Institute of Technology, Tiruchirappalli in 2008.She has 4 years of working experience at software industry. Presently, she is working as a Research Scholar, Department of Computer Science, P.S.G. College of Arts and Science, Coimbatore. Her research interests are Machine Learning and Fuzzy logic.

Thursday, October 24, 2019

Great Romantic Expectations :: Great Expectations Essays

  In Great Expectations Pip is devastated to find out that the convict he helped years ago on the marshes is the benefactor of his riches in life.   His distress is exemplified by the fact that he deserted his loyal friend Joe for the life that the convict Magwitch has given him.   His greatest grief, however, came from the fact that he believed he could never win the love of Estella, learning that she had married Bentley Drummel.   Pip remained in a depression over his situation until he discovered the truth of Estella’s parentage.   The strange coincidence of these findings cause Pip to change his attitude toward his further expectation and resume his belief that he still might have a chance with Estella.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Clearly the story is well underway before any indication is made to the truth about Estella being an adopted child of Miss Havisham.   After this is established through the revelation of Herbert telling Pip this story, Pip gradually starts to pick up clues of his own from different sources.   He notices the similarities of Molly, Jagger’s housekeeper, and questions Wemmick about her resemblance to Estella.   Then Pip continues his pursuit by questioning Miss Havisham about Estella’s background.   Disclosures by Magwitch start to mesh the story together in Pip’s mind as he puts his entire finding together in a neat little package.   That package is the picture of the true parents of Estella.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Most interesting as the clues unfold are the connections between Estella, Magwitch, and Miss Havisham to the lawyer Mr. Jaggers. For each one of them he has provided a service or has been in their employ.   In addition to their connection to Jaggers they were all connected to the convict Compeyson through his victimization of them each in a different way.   Pip sees all of these connections gradually through his pursuit of the facts.   Through his endeavors he is strangely affected by the true realization of the truth of Estella’s parents.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Pip continues to question and observe the actions of those connected to his query to corroborate his guesses.   He does not truly understand his intent on proving the identity of Estella’s parents.   Just before Pip comes to the conclusion that Molly may be the mother of Estella his depression is spoken of by referral his mood to stop reading newspapers since he heard the news of Estella marrying Drummle.   Then Pip looks at Molly and decides that she is the woman who surely gave birth to Estella.

Wednesday, October 23, 2019

Asian Countries Essay

Many Asian countries such as Singapore, HK, and South Korea have achieved tremendous economic growth in the last forty years of development. One of the key success factors has been macroeconomic stability in these countries. Multiplier effect — population Talk aboit the characteristic of Asian countries-past 40 years –deveoping country –vast raw material 1.  Economic growth is defined as an increased in the level of production of goods and services by a country over a certain period of time. Economic growth can be in terms of real economic growth or potential economic growth. I agree with the author that one of the key factors that have allowed many Asian countries to have achieved economic growth has been macroeconomic stability such as low inflation, low unemployment rate and stable exchange rate in the currency market. However these Asian Countries have achieved tremendous economic growth are also due to other supporting key success factors such as globalisation and political stability enjoyed in these countries which I will explain in this essay. 2.Low Inflation I agree that macroeconomic stability due to low inflation is one key success factor that leads to economic growth in many Asian countries. Inflation is defined as the sustained increased in general price level. When there is low inflation in these Asian countries, it helps to ensure a competitive export industry. This implies that its exports will have a higher price competitiveness over their trading partner hence its export will increased. For example, Singapore, a small and open economy with no natural resources depends mainly on its trade for its economic growth. Hence having a low inflation allows Singapore goods to be relatively cheaper than foreign goods and this cause the net export of Singapore to increase.Low inflation protects domestic industry away from foreign goods competition as the price of the domestic goods is cheaper than foreign goods will cause the demand for imports to fall. Thus low inflation would result in an increased in net export (X-M Low inflation also leads to an increase in the investment expenditure. Since Singapore has low inflation ,it implies that Singapore tends to be more stable and there is less uncertainty, firms and foreign direct investors will find it easier to estimate the costs and revenues of  investments. Hence when inflation is low it will give a good business sentiments and this leads to an increase in investment expenditure. Since net export (X-M) and investment expenditure are components of aggregate demand when net export (X-M) increased and investment expenditure increased, AD will also increase. ( Graph figure1 ) As seen from figure 1,when AD curve shift right from AD1 to AD2 the general price level increase from p1 to p2 and real GDP increases from Y1 to Y2.Thus,Singapore experience real Economic growth as a result of macroeconomic stability due to low inflation. Thus, I agree with the author that one of the key success factors leading to economic growth in many Asian countries is due to macroeconomic stability. 3. Low unemployment Another key success factors that leads to economic growth has been macroeconomic stability due to low unemployment rate. Unemployment is defined as the number of people who is willing and able to work but is unable to find a suitable job and is contantly searching for a job. Asian countries for example Singapore have a low unemployment rate. The low unemployment rate allow the economy in Singapore to produce a larger amount of output and implies a large amount of people in Singapore have income. Thus, having low unemployment rate that the consumers in Singapore have higher spending powers due to higher disposable income and more people having the ability to spend as they holds a job. Thus consumption level in Singapore will increase. In addition, when the unemployment rate in Singapore is low, the government will be able to collect more tax revenue. Also, lesser unemployment benefits is needed to be given to the unemployed and these tax revenue and unemployment funds could be used by government to improve the infrastructure of Singapore which would attract more foreign direct investor. Since consumption( C ) ,(G) government expenditure and (I) investment which are components of AD, when C,G and I increase, AD will also increase. An initial increase in AD will leads to a more than proportionate increase in the real national income through the multiplier process. However for Asian countries like Singapore the mulitiplier size is small due to a small population size and large leakage of the circular flow of income. Hence the extent of shift of the AS curve is greater than the extent of  shift of the AD curve. As seen from figure 2 ,when AD curve shift from AD1 to AD2 and AS curve shift from AS1 to AS2 , the general price level decrease from P1 to P2 and the real GDP increases from Y1 to Y2.Thus , there is econonomic growth where hence there will be increased in real GDP thus there is in the short run there is real economic growth in the short runwhereas In the long run, the increase in investment expenditure will cause an increase in potential economic growth due to the increase in productivity and productive capacity as a result of the increase in capital goods. Hence , Asian countries like Singapore experience real economic growth in the short run and potential economic growth in the long run as a result of macroeconomic stability due to low unemployment. Thus I agree with the author that macroeconomic stability due to low unemployment is one of the key success factors that leads to economic growth in many Asian countries. 4. Stable exchange rate Another key success factors that leads to economic growth in many Asian countries like Singapore has been macroeconomic stability due to stable exchange rate. Stable exchange rate provides good business sentiments for firms and investor as the outlook of the economy is optimistic. Also, stable exchange rate is important especially to investors who depend heavily on importing raw materials for production of their goods. This is because stable exchange rate allows these firms and investors to estimate ahead the costs of operations and the returns in the long run. Thus having stable exchange rate in Asian countries like Singapore provide confidence to investors and hence stable exchange rate serve as an incentive to attract foreign director investor. Since investment expenditure is a component of AD when investment increased, AD will increased in the short run and AS will increase in the long run as investor brings in new technology and more efficient production methods which helps to i mprove the productivity and increase the productive capacity. As seen in figure 3,when AD curve shift right from AD1 to AD2 and AS curve  shift right from AS1 to AS2 ,the general price level decrease from P1 to P2 and the real gd* increases from Y1 to Y2.Since real GDP increased,it implies that there is economic growth. For Asian countries like Singapore, where we are small and open with no natural resources we depend heavily on foreign direct investment apart from trade to achieve economic growth.( Investment revenue statistic how much Investment contribute to GDP†¦Ã¢â‚¬ ¦)Thus, I agree with the author that macroeconomic stability due to stable exchange rate is one of the key success factors that leads to economic growth in many Asian countries. 5.Globalisation However, to achieve tremendous economic growth in many Asian countries based solely on macroeconomic stability is not enough, hence there are other supporting key success factors such as globalisation and political stability that helps to contribute to the tremendous economic growth in many Asian countries. Globalisation is a phenomenon where the markets of global economy become more integrated. With globalisation it also means that there will be faster diffusion of ideas, information, and technology across the world. Globalisations have led a reduction in trade barriers. Globalisation helps to increase international trade between countries which is especially important for countries like Singapore who depends heavily on export revenue for economic growth. Globalisation has allow the production costs to lower because countries specialise in goods which they have comparative advantage in producing and allow them to import the cheapest raw material helps them to lower their cost of pro duction. Singapore has no natural resources this means that Singapore import all of its raw materials. Thus, the process of globalisation helps Singapore to lower its cost of production and allow the price of its final goods and services to be cheaper. This will increase the price competiveness of Singapore exports as they are relatively cheaper than foreign goods. Since the export revenue will be higher than the import expenditure net exports(X-M) will increased. Net export is a component of AD, thus AD will also increased. As seen from figure 4,when AD curve shift right from AD1 to AD2 the real GDP increases from Y1 to Y2.Thus,Singapore experience Economic growth as a result of macroeconomic stability due globalisation. and real GDP will increased hence economic growth is achieved. Thus globalisation is undeniable playing as key success  factors that leads to economic growth in many Asian countries. 6.Political Stability Political stability provides the outlook of the economy of the country. Many Asian countries like Singapore has very good governance with strict rules and regulations together with the sound infrastructure making it a conducive place for investment. When there is political stability there will be good business sentiments as investor are able to plan ahead their expected costs of operations of the business and the returns in the long term. Politically stable country means the likelihood of civil war or political war is low hence the operation of the firms will be stable and there will be low risk of facing the possibilities of shutting down. Hence foreign direct investors are attracted to politically stable country because of the stability of the business outlook. Since investment expenditure is a component of AD an increase in Investment expenditure will lead to an increase in real GDP and help Singapore to achieve economic growth. Thus Asian countries that are politically stable acts as a key success factors to support other factors to help Asian countries like Singapore to achieve economic growth. 7.Conclusion I agree with the author that one of the key success factors has been macroeconomic stability that leads to economic growth in many Asian countries. However with macroeconomic stability alone, without globalisation and political stability in these Asian countries,it is unable to achieved tremendous economic growth.This the tremendous economic growth is achieved as these key success factors exist together and support each other.If not the tremendous economic growth if based on macroeconomic stability will only be in the short terms but globalisation and political stability allows the tremendous economic growth to last in the long run.

Tuesday, October 22, 2019

Afroamerican essays

Afroamerican essays The American people have a serious identity crisis. Its rare while in the country to hear someone say that they are American. People say that they are Irish, Scottish, German, Italian, African, English, West Indian, etc. Often people are a combination of these. For black Americans it becomes even more complicated. Many want to identify as African but others would never dream of such a thing because its so foreign to them. I was speaking to a man at a party I had at my apartment. He was telling me about how he plays African drums, traveling around to different towns and performing. He had even been to my part of Cape Cod, Wellfleet. I asked him if he was African and his reply was vague. He couldnt really say yes but he wasnt about to say no. I thought that maybe he was second generation and that his parents were born there so I asked if his parents were African. He said, well I cant really say no, you know what I mean. It had come up earlier that I was An Afro-Am major and after that point as far as he was concerned we had some kind of connection. I was glad that it never became my turn at 40 questions. I am BI-racial and people react to that differently than others. To some its a scar on my blackness being that Im also half-white. To some it aint no thing black is black even if your not 100%. Of course finding a person whose 100% of anything these days can be a challenge. In the states if you are a small part black then you are black. We have this system, thanks to the good old days of slavery where no matter how white you looked and no matter how much you resembled the masters children, you were still black enough to be a slave. In other parts of the world the tables are turned. If you are even a small percent white then thats what you are. The past thirty years have seen many changes in the lives of black people in America. With the c...