PRACTICAL REPORT ON THE ISOLATION AND IDENTIFICATION OF CODEINE AND PARACETAMOL Essay Example for Free

PRACTICAL REPORT ON THE ISOLATION AND IDENTIFICATION OF CODEINE AND PARACETAMOL Essay Codeine or methyl morphine, an alkaloid, was first isolated in 1832 from raw opium. It concentration ranges from 0.2% to 0.8%. Mostly used for its analgesic, anti-tussive and anti-diarrheal capabilities (Tremlett, Anderson and Wolf, 2010). Paracetamol also known as acetaminophen (n-acetyl-p-aminophenol, APAP) on the other hand, is a useful non- steroidal anti- inflammatory drug (NSAID). It is commonly used in the management of pain and fever in a variety of patients (Kamberi, et al., 2004). Fig 1: Codeine[NCBI, 2009] Fig 2: Acetaminophen[NCBI, 2009] One of the technique involved in the extraction of codeine and paracetamol from its matrix, is the solvent extraction otherwise known as liquid – liquid extraction. This process entails the use of two immiscible liquids usually chloroform and water; in dissolving the sample for two distinctive layers to form after the mixture had been thoroughly shaken together (Rubinson and Rubinson, 1998). Separating the components of the extract, is done through the use of Thin Layer Chromatography. It is one of the standard procedures used in many forensic laboratory when analysizing unknown drugs or mixtures (Howlett and Steiner, 2011). Separation of the mixtures occur based on the pH, polarity of its components, solvent and the thin layer stationary phase (Howlett and Steiner, 2011). METHODS: The finely divided sample was dissolved in 20ml of distilled water. This was then basified with NaOH solution to pH 12 using litmus paper. The resulting solution was later filtered. 1.0ml of chloroform was pipetted into the filtrate. After shaken and combined, two distinctive layers was observed. The bottom layer was extracted thrice using a micro- pipette. On a thin chromatography plate, five spots were placed ( as shown in table 2) and the  plate was developed using chloroform/methanol. This was later visualized with dragendorff’s reagent under the UV light. All separated components were observed, identified and recorded. RESULTS: Table of observed pH SOLUTIONInitial pHFinal pH Basified sample1012 TABLE 1 Table of Retention factor (RF value) Rf = Distance travelled by the substance (cm) Distance travelled by the solvent (cm) SUBSTANCEDistance travelled by substance (cm)Distance travelled by Solvent (cm)Retention factor value (Rf) Chloroform extract3.04.00.75 Codeine positive control3.04.00.75 Paracetamol positive control4.04.01.00 Chloroform (negative control) 3.54.00.86 Diluted sample4.04.01.00 TABLE 2 DIAGRAM: Fig 3: The Developed Chromatographic Plate. DISCUSSION: Running the chloroform extracts and diluted sample together with two positive controls and a negative control on a single chromatographic plate simultaneously, the retention factor(Rf) of five different samples were determined. The RF value of the chloroform extract(0.75) tallied with that of the codeine positive control and that of diluted sample(1.00) with the paracetamol positive control. This tentatively shows that, codeine and paracetamol were present in the sample. The solvent front(i.e distance travelled by the mixed solvents) is 4cm, this is quite close to the distances covered by all separated components(between 3 – 3.5cm), which makes the retention factors, not a true representative of their actual values. It was later discovered that, this is due to not allowing the  chromatographic plate to develop for a longer period of time in the solvent tank. The solvent front also dried up quickly when the plate is taken out., making drawing a line at that point quite diffic ult. Fortunately, this was overcome by the use of visualizing spray and UV lamp. Solvent extraction(liquid-liquid), involved selective movement of components of a substance in microgram to gram quantities between two immiscible liquid phase; its separation and selectivity is based on solubility differences and pH control respectively (Fifield and Kealey, 1995). This was observed when chloroform was added to the basified filtrate. After vigorous shaking and settling down, chloroform being more dense, composed the bottom layer, with the aqueous phase up. Liquid-liquid extraction often involved high volume of organic solvents and poor resolution of mixtures of organic materials (Fifield and Kealey, 1995). Thin Layer Chromatography is usually employed in the qualitative analysis of mixtures of non-volatile compounds like pharmaceuticals (Skoog, et al., 2000). TLC can also be used to confirm the identity of an unknown sample ( Lewis and Evans, 2011). Dissolution of the codeine and paracetamol tablet in distilled water without weighing, shows that, TLC was never designed for semi- quantitative analysis. This is due to difficulties in reproducibly applying aliquots of the mixture to the plate and then recovering all of the separated components from the plate (Skoog, et al., 2000). CONCLUSION: Using the Rf values obtained in the table 2 above and t he visual indicator reaction with the substances under the UV light, codeine was extracted to a high degree during the solvent extraction, tentatively identified by TLC (due to its positive control having the same Rf values with the chloroform extract(0.75) and both were the only one that were seen under the UV light) while paracetamol was extracted to a low degree (due to its positive control having the same Rf with the diluted sample). Multiple compounds can share the same retention factor(Rf) or produce similar chromophores when sprayed with detection reagents (Howlett and Steiner, 2011). The study by Lewis and Evans( 2011) shows that if a spot from an unknown substance is developed on a TLC plate together with a spot from a substance that is suspected to be the unknown, and the two substance are found to have the same Rf value, they are probably the same substance. FUTURE SUGGESTIONS AND RECOMMENDATIONS: Due to the limitation that is associated with using TLC to exactly identify a given sample, minimum standards for drug testing and reporting in the forensic community are recommended by the Scientific Working Group for the Analysis of seized drugs (SWGDRUG) (Howlett and Steiner, 2011). In order for a drug identification to be confirmed to SWGDRUG specification, additional tests must includes, Infrared spectroscopy and GC-MS (Howlett and Steiner, 2011). REFERENCES: Fifield, F. W. and Kealey, D. 1995. Principles and Practice of Analytical chemistry. (4th ed) Glasgow, Blackie Academic and professional. Howlett, S. E. and Steiner, R. R. 2011. Validation of Thin Layer Chromatography with AccuTOF-DARTâ„ ¢ Detection for Forensic Drug Analysis*. Forensic Sciences [e-journal] 56 (5), pp. 12611267. Available through: Anglia Ruskin University Library website http://libweb.anglia.ac.uk [Accessed on 11 March 2014]. Kamberi, M., Riley, C. M., Huang, C. C. and Xiaoyan, M, 2004. A validated, sensitive HPLC method for the determination of trace impurities in acetaminophen drug substance. Pharmaceutical and Biomedical Analysis [e-journal] 34 (1), pp. 123128. Available through: Anglia Ruskin University Library website http://libweb.anglia.ac.uk [Accessed on 18 March 2014]. Lewis, R. and Evans, W. 2011. Chemistry. 4th ed. Hampshire, Palgrave Macmillan. NCBI, 2009. National Library of Medicine. [online] Available at : http://www.ncbi.nlm.nih.gov/pccompound [Acc essed 7 April, 2014]. Rubinson, J. F. and Rubinson, K. A. 1998. Contemporary chemical analysis. Upper Saddle River, NJ, Prentice Hall. Skoog, D., West, D., Holler, F. and Crouch, S. 2000. Analytical Chemistry- An introduction. (7th ed). Boca raton, Thomson Learning Inc. Tremlett, M., Anderson, B. J. and Wolf, A. 2010. Procon debate: is codeine a drug that still has a useful role in pediatric practice? Pediatric Anesthesia [e-journal] 20 (2), pp. 183194. Available through: Anglia Ruskin University website http://libweb.anglia.ac.uk [Accessed on 29 March 2014].

Factor Language Model Programming

Factor Language Model Programming Language Model Language model helps a speech recognizer figure out how likely a word sequence is, independent of acoustics. There is a linguistic and statistical approach to calculate the probability. The linguistic technique tries to understand the syntactic and semantic structure of a language and derive the probabilities of word sequences using this knowledge. The challenge here is to have proper co occurrence statistics of the unit of recognition. The approach in use evaluates a huge text corpus in a statistical way and word transitions. Current language models make no use of the syntactic properties of natural language but rather use very simple statistics such as word co-occurrences. Recent results show that incorporating syntactic constraints in a statistical language model reduces the word error rate on a conventional dictation task by 10% [M.S.Salam, 2009]. Proposed Language Model The approach proposed here uses factored language model which incorporates the morphological knowledge. Factored language models have recently been proposed for incorporating morphological knowledge in the modeling lexicon. As suffix and compound words are the cause of the growth of the vocabulary, a logical idea is to split the words into shorter units. The language model proposed in this research is based on morphology. A morphological analyser obtains and verifies the internal structure of a given complete word form [Rosenfield, 2000]. Building a morphological analyser for highly inflecting, agglutinative languages is a challenging task. It is very difficult to build a high performance analyser for such languages. The main idea here is to divide a given word form into a stem and single suffix. Morphology plays a much greater role in Telugu. An inflected Telugu word starts with a stem and may have suffix(s) added to the right according to complex rules of saMdhi. This research proposes a new data structure based on Inverted Index and an efficient algorithm for accessing its elements. Few researchers have used tries for efficient retrieval from dictionary, earlier. This research work is different from earlier work in two ways: a) variation to the structure of trie b) the method of identifying and combining inflections. Modified Trie Structure A trie is a tree based data structure for storing strings in order to support fast pattern matching. A trie T represents the strings of set S of n strings with paths from root to the external node of T. Fig 5.1: Original Trie Structure The trie considered here is different from standard trie in two ways: 1) A standard trie does not allow a word to be prefix of another, but the proposed trie structure allows a word to be prefix of another word. The node structure and search algorithm also is given according to this new property. 2) Each word in a standard trie ends at an external node, where as in the modified trie a word may end at either an external node, or the internal node. Irrespective of whether the word ends at internal node or external node, the node stores the index of the associated word in the occurrence list. The node structure is changed such that, each node of the trie is represented by a triplet C,R,Ind>. C represents character stored at that node. R represents whether the concatenation of characters from root till that node forms a meaningful stem word. Its value is 1, if characters from root node to that node form a stem, 0 otherwise. Ind represents index of the occurrence list. Its value depends on the value of R. Its value is -1 (negative 1), if R=0, indicating it is not a valid stem. So no index of occurrence list matches with it. If R=1, its value is index of occurrence list of associated stem. Fig 5.2: Modified Trie Structure Advantages relative to binary search tree: The following are the main advantages of tries overbinary search trees(BSTs): Looking up keys is faster. Looking up a key of lengthmtakes worst caseO(m) time. A BST performs O(log(n)) comparisons of keys, wherenis the number of elements in the tree, because lookups depend on the depth of the tree, which is logarithmic in the number of keys if the tree is balanced. Hence in the worst case, a BST takes O(mlogn) time. Moreover, in the worst case log(n) will approachm. Also, the simple operations tries use during lookup, such as array indexing using a character, are fast on real machines. Tries can require less space when they contain a large number of short strings, because the keys are not stored explicitly and nodes are shared between keys with common initial subsequences. Tries facilitatinglongest-prefix matching, helping to find the key sharing the longest possible prefix of characters all unique. Corpus structure of proposed Language Model The corpus consists of the following modules: Stem word dictionary This accommodates all the stems of the language. Stem word dictionary is implemented as an Inverted Index for better efficiency. The Inverted index will have the following two data structures in it: 1) Occurrence list: It is an array of pairs, 2) Stem trie: consisting of stem words Occurrence list is constructed based on the grammar of the language, where each entry of the list contains the pair (ii) Inflection Dictionary This dictionary contains the list of all possible inflections of the Telugu language. Each entry of Stem word dictionary lists the indexes of this dictionary to indicate which all inflections are possible with that stem. The proposed corpus structure helps in reducing the corpus size drastically. Every stem word may have number of inflections possible. If the inflected words are stored as it is, then corpus size would be m*n, where m is number of stem words and n is number of inflections. Instead of storing all the inflected words, the proposed corpus structure stores stem words and inflections separately, and handles the inflected words through morphology. Hence the corpus size required is for m stem words and n inflections i.e., m+n. Thus there is a great reduction in the corpus size. For a corpus of 1000 stem words and 10 inflections, the required corpus size is 1000+10=1010, which otherwise would have required 1000*10=10000. Fig 5.3 : Corpus structure of proposed Language Model Textual Word Segmentation using Proposed Language Model The proposed language model is used to develop a textual word segmenter. A word segmenter is used to divide the given inflected word into a stem and single inflection. This is required as the corpus stores stems and inflections separately. Input the word segmenter is an Inflected word. Syllabifier takes this word and divides the word into syllables and identifies if the letter is a vowel or a consonant. After applying the rules syllabified form of the input will be obtained. Once the process of syllabification is done, this will be taken up by the analyzer. Analyzer separates the stem and inflection part of the given word. This stem word will be validated by comparing it with the stem words present in stem dictionary. If the stem word is present, then the inflection of the input word will be compared with the inflections present in inflection dictionary of the given stem word. If both the inflections get matched then it will directly displays the output otherwise it takes the appropriate inflection(s) through comparison and then displays. Syllabification is the separation of the words into syllables, where syllables are considered as phonological building blocks of words. It is dividing the word in the way of our pronunciation. The separation is marked by hyphen. In the morphological analyzer, the main objective is to divide the given word into root word and the inflection. For this, we divide the given input word into syllables and we compare the syllables with the root words and inflections to get the root word and appropriate inflection. Fig 5.4: Block diagram of Word Segmentr for text Steps for word segmentation Receiving the inflected word as an input from the user. Syllabify the input Analyze the input and validating the stem word. Identify the appropriate inflection for the given stem word by comparing the inflection of given word with the inflections present in inflection dictionary of the stem word. Displaying the appropriate inflected word. For example, considering the word â€Å"nAnnagariki† (à  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °-à  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ °Ãƒ  Ã‚ °Ã‚ ¿Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ °Ã‚ ¿) meaning â€Å"to father†, the input is given the user in Roman transliteration format. This input is basically divided into lexemes as: Now, the array is processed which gives the type of lexeme by applying the rules of syllabification one by one. Applying Rule 1: â€Å" No two vowels come together in Telugu literature.† The given user input does not have two vowels together. Hence this rule is satisfied by the given user input. The output after applying this rule is same as above. If the rule is not satisfied, an error message is displayed that the given input is incorrect. Now the array is: c – v – c – c – v – c – v – c – v – c – v Applying Rule 2: â€Å" Initial and final consonants in a word go with the first and last vowel respectively.† Telugu literature rarely has the words which end up with a consonant. Mostly all the Telugu words end with a vowel. So this rule does not mean the consonant that ends up with the string, but it means the last consonant in string. The application of this rule2 changes the array as following: c – v – c – c– v – c – v – c – v – c – v cv – c – c – v – c – v – c – v – cv This generated output is further processed by applying the other rules. Applying Rule 3: â€Å" VCV: The C goes with the right vowel.† The string wherever has the form of VCV, then this rule is applied by dividing it as V – CV. In the above rule the consonant is combined with the vowel, but here in this rule the consonant is combined with the right vowel and separated from the left vowel. To the output generated by the application of rule2, this rule is applied and the output will be as: cv – c – c – v – c – v – c – v – cv cv – c – c – v – cv – cv – cv This output is not yet completely syllabified, one more rule is to be applied which finishes the syllabification of the given user input word. Applying Rule 4: â€Å" Two or more Cs between Vs First C goes to the left and the rest to right.† It is the string which is in the form of VCCC*V, then according to this rule it is split as VC – CC*V. In the above output VCCV in the string can be syllabified as VC – CV. Then the output becomes: cv – c – c – v – cv – cv – cv cvc– cv – cv – cv – cv Now this output is converted to the respective consonants and vowels. Thus giving the complete syllabified form of the given user input. nAn – na –cA – ri – ku cvc – cv – cv – cv – cv Hence, for the given user input, â€Å"nAnnagAriki†, the generated syllabified form is, â€Å"nAn – na – gA – ri – ki†. Fig 5.5: Word Segmenter showing an inflected word without change in stem form Fig 5.6: Word Segmenter showing an inflected word with a change in stem form SCIL Speech Corrector for Indian Languages In inflectional language every word consists of one or several morphemes into which the word can be segmented. The approach used here aims at reducing the above mentioned problem of having a very huge corpus for good recognition accuracy. It exploits the characteristic of Telugu language that every word consists of one or several morphemes into which the word can be segmented. SCIL is a procedure To deal with complex word forms applied after recognition Using which misrecognized words are corrected Architecture of SCIL The design of Speech Corrector for Indian Languages, consists of the Syllable Identifier, Phone Sequence Generator, Word Segmenter, and Morpho- Syntactic Analyzer modules. Input speech is decoded by a normal ASR system which gives the identified word as a string. The sequence of phones would be the input to the Word Segmenter module which matches the phonetized input with the root words stored in dictionary module, and generates a possible set of root words. Morpho-Syntactic Analyzer compares the inflection part of the signal with the possible inflections list from the database and gives correct inflection. This will be given to Morph Analyzer to apply morpho-syntactic rules of the language and gives the correct inflected word. Fig 5.7: Block diagram of SCIL i) Syllable Identifier Syllable identifier marks the rough boundaries of the syllables and labels them. At this stage , we get list of syllables separated with hyphen. The user input is syllabified and this would be the input to the next module. E.g. dE-vA-la-yA-ku ii) Phone Sequence Generator As the words in the dictionary are stored at phone level transcription, this module generates the phone sequences from the syllables. E.g. d-E-v-A-l-a-y-A-k-u iii) Word Segmentor This module compares the phonetized input from starting with the root words stored in dictionary module and lists the possible set of root words. The possible root word is dEvAlayamu. iv) Dictionary Dictionary contains stems and inflections separately. It does not store inflected words as it is very difficult, if not impossible, to cover all inflected words of the language. The database consists of 2 dictionaries: Stem Dictionary Inflection Dictionary Stem dictionary contains the stem words of the language, signal information for that stem which includes the duration and location of that utterance and list of indices of inflection dictionary which are possible with that stem word. Inflection Dictionary contains the inflections of the language, signal information for that inflection which includes the duration and location of that utterance. Both the dictionaries are implemented using trie structure in order to reduce the search space. v) Morpho Syntactic Analyzer This module compares the inflection part of the signal with the possible inflections list from the database and gives correct inflection. This will be given to Morph Analyzer to apply morpho-syntactic rules of the language and gives the correct inflected word. Post Recognition Procedure Capture the utterance, an isolated inflected word. Get its syllabified form. Generate phone sequence from the syllabified word. Compare the phone sequences with stem words in the dictionary and identify the stem. Segment the word into stem and inflection. Get the list of possible inflections. Compare the inflection signals possible with that stem one by one and apply morpho-syntactic rules of the language to combine stem and inflection. Display the inflected word. Using the rules the possible set of root words are combined with possible set of inflections and the obtained results are compared with the given user input and the nearest possible root word and inflection are displayed if the given input is correct. If the given input is not correct then the inflection part of the given input word is compared with the inflections of that particular root word and identifies the nearest possible inflection and combines the root word with those identified inflections, applies sandhi rules and displays the output. When there is more than one root word or more than one inflection has minimum edit distance then the model will display all the possible options. User can choose the correct one from that. For example, when the given word is pustakaMdO (à  Ã‚ °Ã‚ ªÃƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¸Ãƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¤Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ °Ã¢â‚¬Å¡Ãƒ  Ã‚ °Ã‚ ¦Ãƒ  Ã‚ ±Ã¢â‚¬ ¹), the inflections tO making it pustakaMtO (à  Ã‚ °Ã‚ ªÃƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¸Ãƒ  Ã‚ ±Ã‚  à  Ã‚ °Ã‚ ¤Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ °Ã¢â‚¬Å¡Ãƒ  Ã‚ °Ã‚ ¤Ãƒ  Ã‚ ±Ã¢â‚¬ ¹) meaning ‘with the book’ and lO making it pustakaMlO (à  Ã‚ °Ã‚ ªÃƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¸Ãƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¤Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ °Ã¢â‚¬Å¡Ãƒ  Ã‚ °Ã‚ ²Ãƒ  Ã‚ ±Ã¢â‚¬ ¹) meaning ‘in the book’) mis are possible. Present work will list both the words and user is given the option. We are working on improving this by selecting the appropriate word based on the context. SCIL Algorithm W=Utterance.wav Syl[]=SyllableIdentifier(W) Phone[]=phonetizer(Syl[]) Stem=getStem(Syl[]) Infl[]=getInflections(Stem) While (not exactMatch) word=MorphAnalyzer(stem,inflMatch) display word Stop Working of SCIL Once possible root words identified the given word is segmented into two parts, first being the root word and second part inflection. Now the inflection part is compared in the reverse direction for a match in the inflection dictionary. It will consider only the inflections that are mentioned against the possible root words, thus reducing the search space and making the algorithm faster. For example consider â€Å"nAnnagariki† (à  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °-à  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ °Ãƒ  Ã‚ °Ã‚ ¿Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ °Ã‚ ¿) meaning â€Å"to father†, is misrecognized as nAn-na-cA-ri-ku (à  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ ±Ã‚ Ãƒ  Ã‚ °Ã‚ ¨Ãƒ  Ã‚ °Ã… ¡Ãƒ  Ã‚ °Ã‚ ¾Ãƒ  Ã‚ °Ã‚ °Ãƒ  Ã‚ °Ã‚ ¿Ãƒ  Ã‚ °Ã¢â‚¬ ¢Ãƒ  Ã‚ ±Ã‚ ) then SCIL is applied and will correct the recognition error as follows: The output from ASR is nAn-na-cA-ri-ku. The phone sequence generator will generate the phone sequence as n-A-n-n-a-c-A-r-i-k-u. Now, match it with the set of root words stored in dictionary module. This process will identify the possible set of root words from the Stem dictionary as follows: Once possible root words identified the given word is segmented into two parts, first being the root word and second part inflection. Now the inflection part is compared for a match in the inflection dictionary. It will consider only the inflections that are mentioned against the possible root words, thus reducing the search space and making the algorithm faster. Possible set of inflections in inflections dictionary After getting the possible set of root words and possible set of inflections they are combined with the help of SaMdhi formation rules. Here in this example cA-ri-ku is compared with the inflections of the root word nAnna After comparing it identifies gAriki as the nearest possible inflection and combines the root word with the inflection and displays the output as â€Å"nAnnagAriki†. Conclusions Language model proposed in this work results in reduction in corpus size by using factored approach. The search process is fastened by use of trie based structure. A change to standard trie is proposed. A post recognition procedure SCIL, is designed which uses the proposed language model and corrects the words misrecognized at inflections. The approach is tested using 1500 speech samples. These samples consist of 100 distinct words , each word repeated 3 times and recorded by 5 speakers in the age group 18-50. It is implemented as a speaker dependent system. An average model is built from the three utterances of each word for each speaker. Each speaker is given a unique ID, using which average model of that speaker is used for testing.

Anthony Trollopes: An Eye for an Eye :: Ethics Morals Anthony Trollope

Anthony Trollope's: An Eye for an Eye Anthony Trollope's intense commitment to drawing for his readers a picture of the world as it actually is, to creating a fictional reality in which they "might recognise human beings like to themselves" (Autobiography 145), can obscure the depth and sincerity of his concern with the moral dilemmas confronting the characters he has so painstakingly rendered lifelike. But as the startlingly candid passage quoted above from the Autobiography reveals, Trollope's purposes in his fiction are not merely descriptive, but normative as well; he sets out both to show us "the way we live now" and to direct our attention to questions that are in the broadest sense ethical: how ought we to live? His unflagging desire to "please," however, and his firm belief in the primacy of characterization among the novelist's tasks render the extraction of his "system of ethics" from his novels a delicate and difficult task: his characters are, ineluctably, individuals and unlike those populating the works of more overtly "philosophical" novelists, cannot often be taken as unproblematic representatives of an abstract quality larger than themselves. Trollope's "system" is to be an ethics of everyday life, one that takes as its province situations irreducible to arid formulae. Close examination of the late novel An Eye for an Eye illustrates both the nuanced, even protean, subtlety of Trollopean ethics and the ways in which his moral code is complicated by the gender, class, and national dimensions of the life he portrays so vividly. The novel, in its remarkably evenhanded treatment of the agonizing choice facing a young English aristocrat who seduces and impregnates an Irish girl of disreputable provenance, displays a sophisticated and sympathetic understanding of the manner in which larger social and historical forces impinge on the decisions we make as supposedly free moral agents. The story dramatizes the tension between two approaches to moral problems: on one hand, there is what we might call an ethics of particulars, represented by Scroope Manor and the older members of the Neville family, an insistence that questions of right and wrong can only be justly resolved by reference to the social position of the moral agent and to the organic structure of the society in which he or she is enmeshed. On the other hand, there are the claims of a universalizing ethical praxis in which each individual must be viewed as an end in himself or herself, regardless of circumstance. Anthony Trollope's: An Eye for an Eye :: Ethics Morals Anthony Trollope Anthony Trollope's: An Eye for an Eye Anthony Trollope's intense commitment to drawing for his readers a picture of the world as it actually is, to creating a fictional reality in which they "might recognise human beings like to themselves" (Autobiography 145), can obscure the depth and sincerity of his concern with the moral dilemmas confronting the characters he has so painstakingly rendered lifelike. But as the startlingly candid passage quoted above from the Autobiography reveals, Trollope's purposes in his fiction are not merely descriptive, but normative as well; he sets out both to show us "the way we live now" and to direct our attention to questions that are in the broadest sense ethical: how ought we to live? His unflagging desire to "please," however, and his firm belief in the primacy of characterization among the novelist's tasks render the extraction of his "system of ethics" from his novels a delicate and difficult task: his characters are, ineluctably, individuals and unlike those populating the works of more overtly "philosophical" novelists, cannot often be taken as unproblematic representatives of an abstract quality larger than themselves. Trollope's "system" is to be an ethics of everyday life, one that takes as its province situations irreducible to arid formulae. Close examination of the late novel An Eye for an Eye illustrates both the nuanced, even protean, subtlety of Trollopean ethics and the ways in which his moral code is complicated by the gender, class, and national dimensions of the life he portrays so vividly. The novel, in its remarkably evenhanded treatment of the agonizing choice facing a young English aristocrat who seduces and impregnates an Irish girl of disreputable provenance, displays a sophisticated and sympathetic understanding of the manner in which larger social and historical forces impinge on the decisions we make as supposedly free moral agents. The story dramatizes the tension between two approaches to moral problems: on one hand, there is what we might call an ethics of particulars, represented by Scroope Manor and the older members of the Neville family, an insistence that questions of right and wrong can only be justly resolved by reference to the social position of the moral agent and to the organic structure of the society in which he or she is enmeshed. On the other hand, there are the claims of a universalizing ethical praxis in which each individual must be viewed as an end in himself or herself, regardless of circumstance.

Essay --

Elaine Tyler May’s Homeward Bound addresses two ideologies that ran rampant during the 50s, just after the conclusion of World War II. These Ideologies were anti- communism and suburban domesticity, both of which were sought to be resolved by the Americans through marriage and parenthood in a suitable and stable household. May discovers that domestic revival was key in addressing the ‘cold war ideology’; her book seeks to discover why post war Americans looked unto household stability as a means of solving the threat of communism at the time. It was, as she describes; â€Å"postwar Americans' intense need to feel liberated from the past and secure in the future." She believes that â€Å"Domestic containment† originated from the 30s and 40s, where people started to view the family structure in two different ways, â€Å"one with two breadwinners who shared tasks and the other with spouses whose roles were sharply differentiated." Society at the time chose the latter. Things like new deal programs aimed to improve employment opportunities for men. The American dream was at this time available to whit...

Macbeth - Tragedy Or Satire :: essays research papers

William Shakespeare wrote four great tragedies, the last of which was written in 1606 and titled Macbeth. This "tragedy", as it is considered by societal critics of yesterday's literary world, scrutinizes the evil dimension of conflict, offering a dark and gloomy atmosphere of a world dominated by the powers ofdarkness. Macbeth, more so than any of Shakespeare's other tragic protagonists, has to face the powers and decide: should he succumb or should he resist? Macbeth understands the reasons for resisting evil and yet he proceeds with a disastrous plan, instigated by the prophecies of the three Weird Sisters. Thus we must ask the question: If Macbeth is acting on the impulses stimulated by the prophecies of his fate, is this Shakespearean work of art really a Tragedy? Aristotle, one of the greatest men in the history of human thought, interpreted Tragedy as a genre aimed to present a heightened and harmonious imitation of nature, and, in particular, those aspects of nature that touch most closely upon human life. This I think Macbeth attains. However, Aristotle adds a few conditions. According to Aristotle, a tragedy must have six parts: plot, character, diction, thought, spectacle, and song. Most important is the plot, the structure of the incidents. Tragedy is not an imitation of men, but of action and life. It is by men's actions that they acquire happiness or sadness. Aristotle stated, in response to Plato, that tragedy produces a healthful effect on the human character through a katharsis, a "proper purgation" of "pity and terror." A successful tragedy, then, exploits and appeals at the start to two basic emotions: fear and pity. Tragedy deals with the element of evil, with what we least want and most fear to face, and with what is destructive to human life and values. It also draws out our ability to sympathize with the tragic character, feeling some of the impact of the evil ourselves. Does Macbeth succeed at this level? Can the reader feel pity and terror for Macbeth? Or does the reader feel that Macbeth himself is merely a branch from the root of all evil and not the poor, forsaken, fate-sunken man, according to Aristotle's idea of tragedy, he is supposed to portray? Can the reader "purge" his emotions of pity and fear by placing himself in the chains of fate Macbeth has been imprisoned in? Or does he feel the power and greed upon which Macbeth thrives, prospers, and finally falls?

Any Human to Another Essay

Countee Cullen was an African American writer during the Harlem Renaissance. His poem â€Å"Any Human to Another† calls on whites and Americans in general to put aside their racial differences and come together in harmony. Cullen’s reflective and didactic tone is established through numerous rhetorical dev ices. The first thing one notices when reading the poem is the constantly changing rhyme scheme. Cullen uses a changing meter to emphasize each stanza, making them stand apart but still sound nice together – â€Å"diverse yet single.† The whole poem is about this paradox and coming together despite our differences. People need to connect with others and not stay shut up alone in solitude. Many of the stanzas contain similes to elaborate on the author’s purpose. The first stanza relates sorrow to an arrow that pierces all parts of the body to the deepest core, â€Å"through the fat and past the bone.† The second stanza compares blacks and whites to rivers and the sea (fresh and salty water). The last stanza relates grief again to a weapon, calling it a â€Å"blade shining and unsheathed [that] must strike me down,† and sorrow to a crown of â€Å"bitter aloes wreathed.† The similes in the last stanza mean that although it is sometimes painful and/or unpleasant to share others’ grief, it is still something we must do. There is a metaphor in the third stanza that compares living our lives alone to pitching a tent in solitude, walled into our own little world. Several times, Cullen uses dichotomies to contrast things that symbolize the whites and blacks. They are compared to â€Å"fat and†¦ bone† (stanza 1), â€Å"sea and river† (stanza 2), and â€Å"sun and shadow† (stanza 3). Despite these obvious differences , the author emphasizes the ability and importance of coming together, like salt and fresh water do in bays and sun and shadow do in some valleys. The fourth stanza employs personification of grief and joy, also showing the dichotomy between them. While joy only favors a few, grief is a common factor shared by all people, and so it is a common ground  on which anyone can come together. Finally, the poem contains Biblical allusions to Romans 12:15-18 Rejoice with those who rejoice; mourn with those who mourn. Live in harmony with one another. Do not be proud, but be willing to associate with people of low position. Do not be conceited. Do not repay anyone evil for evil. Be careful to do what is right in the eyes of everybody. If it is possible, as far as it depends on you, live at peace with everyone. This passage talks about sharing others’ grief instead of remaining cut off and apathetic. Cullen shares the author’s wish for peace between unlike people. This ties to the last line, where â€Å"my sorrow must be laid on your head like a crown† alludes to Christ’s crown of thorns – because Jesus was a man of the people and was very empathetic; he put into practice what Cullen is calling all Americans to do. Cullen uses allusion, paradox, dichotomy, simile and metaphor, personification, and meter to establish the tone and theme of his poem â€Å"Any Human to Another.†

The challenge of food scarcity

Our world today is facing an extreme increase of food shortage and that happened when the food produce is not enough that can automatically threaten and shake the lives of millions of people, food scarcity could also be due to the rapidly rising human population that as a matter of fact Just had doubled over the year.Furthermore, the fact that we don't have any idea on what maximum number of people the world will continue to support and feed, that lead us to questioning if there is enough food for everyone in the future and a solution to end hunger and other problems that comes along with.Moreover, there are still many different reasons or factors of why people are starving in the different areas over the world, the lack of economic Justice and rising population are Just merely two examples out of them all and made people struggle to get enough food to eat. On the other hand, Majority of the globe's population especially the youth tends to Just ignore the issue of hunger, or are simp ly blindsided by events as today's economic crisis. We seem and tends to be a creatures f crisis.Rather than accepting the possibility that serious problems are Just over the horizon and is happening, we choose to look for any hope of positive information to ease our fears, but the fact is that hunger is a big problem in the world today and It is equally important that people should inform and get their selves involve on the issue about food scarcity so that they will know who are the ones truly suffering and the serious damage it does to those people.And also for them to avoid on wasting food, because all the extra food can't be Just given out to the needy and hungry entries, but if it could the government still don't have enough transportation and the money to send all those extra food to the suffering people. Every one of us must take food scarcity seriously because the solution for solving hunger and scarcity calls for the cooperation of everybody. Furthermore, As an Internation al student it is essential that we include world food hunger in our studies for it is directly interconnected on global politics and issues.For in International studies we educate ourselves and participates on programs of Globalization and development. Also, we must not only study but to also get ourselves involve in helping how to eradicate world hunger by helping in our own little ways those people and communities who are struggling with such problems that are cause by food shortage, for them to be able to develop ways to sustain their way of life, is the main goal of an International studies student. Remember Great things comes from small beginnings.To answer the questions why people are continuing to starve to death, we need to know first about the history of food production; how it contributes on the food we produce, goes the process of food production prohibit or even more promotes hunger? Second, we need to understand that the image that we get from the media can be very misl eading and sometimes not the truth and tends to show only a portion of what was really happening, so we must explore and research to be informed in the current reality so that we can come up and make better solutions.On the other hand, even if hunger is inevitable, we know, beyond any shadow of doubt, that there is a remedy for our world's situation and the earth can and able to feed its inhabitants. And there are many ways on how we can do it, like giving and improving aid and providing equipment and materials to the poor and underdeveloped countries needed for their agriculture, for these countries especially on the Global south, have the land and water to grow but they lack the knowledge, money and technology to make their resources fruitful.By also slowing the increasing of oil prices and usage of bio fuel so that the food price escalation can be somehow prevented because when the costs of essential foods rise, it can then dramatically affect those people who are lying on food p rices because bio fuels hurt the developing countries the most.Furthermore, the Government should promote and implement alternatives which don't disrupt the food supplies and if possible the Government should also increase the incomes of the poor instead so that they can buy their food, this is much better than keeping incomes and prices low. The solutions to the present crisis mention above can help eradicate food shortage and hunger and save the world at the same time, humanity must confront all the issues which can no longer be ignore because globally the effects will spread.