Essay on Increasing Airline Security - 1416 Words

Increasing Airline Security Over the past five months, airline and airport security has been in the news almost daily. The events on and since September 11 have completely changed the viewpoints of many Americans, as well as the world, concerning airline security. Between the 18 suicide hijackers to Richard â€Å"the shoe bomber† Reid and the many other terrorists that lurk in the world, flying is definitely not as safe as it once was. I strongly believe that security in airports should be much more strict than it is now, even if it infringes on the people’s right to privacy. The last part of that statement is the point of clash for many people because they strongly believe in privacy rights. Before I get to why there should be†¦show more content†¦These men did not have any other luggage with them though. They used the box cutters to take over the planes and eventually crash the planes into the Twin Towers of the World Trade Center, the Pentagon and a Pennsylvania field. A few months later, Richard Reid boarded a plane in Paris, France, headed for America with explosives in his shoes. None of the security precautions discovered the explosives. Only passengers who saw Reid trying to ignite the explosives stopped the destruction of the plane. Reid attempted to blow up this plane only one day after he was detained and extensively questioned while trying to board another plane to America. Since September 11th, many changes have been made to the security in airports, but I believe that they are not enough to keep us safe. Currently, airport security includes armed National Guard troops watching over lobbies and terminals, more checked luggage requirements, and more metal and x-ray detectors. Right after the attacks on the World Trade Center and the Pentagon, every airport in America was shut down for several days and only opened with National Guard soldiers watching for suspicious behavior. But, after only a month of the extra security guards, the majority of the airports were without the Guard troops. Another precaution that airlines are currently taking includes several new checked luggage requirements. In November, Congress passed a law that requires airlines to screen all bags in fourShow MoreRelatedSong Airlines Business Case Essay898 Words   |  4 PagesSong Airlines Case Song airline was a low cost carrier subsidiary of Delta airlines that started in 2003. It was formed to compete with JetBlue and other low cost airlines for the Florida market. The market environment at the time of the case was extremely difficult with the rising costs of fuel, increasing security requirements after 9/11 and customers expectations of lower fares. It has forced many big players in the airline industry into bankruptcy. The operational costs which include gateRead MoreThe Air Transportation Stabilization Board928 Words   |  4 Pagesthese events more than the airline industry. 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Stefan’s Diaries Origins Chapter 18 Free Essays

That night, Damon invited me to play cards with some of his soldier friends, who were camped out for the moment in Leestown, twenty miles away. â€Å"I may not agree with them, but damn, can they play a good hand and drink a good pint,† Damon said. I’d found myself agreeing, eager to avoid Father and any questions about vampires. We will write a custom essay sample on Stefan’s Diaries: Origins Chapter 18 or any similar topic only for you Order Now But by the time twilight rolled around and I hadn’t seen any sign of Katherine or Emily, I wished that I hadn’t agreed to accompany Damon. My mind was still jumbled, and I wanted a night with Katherine to reassure me that my desire was leading me in the right direction. I loved her, but the practical, sensible side of me was having trouble disobeying Father. â€Å"Ready?† Damon asked, clad in his Confederate uniform, when he stopped by my bedroom at twilight. I nodded. It was too late to say no. â€Å"Good.† He grinned and clattered down the stairs. I glanced wistfully out the window toward the carriage house, then followed him. â€Å"We’re going out to the camp,† Damon yelled as we passed by Father’s study. â€Å"Wait!† Father emerged from the study into the living room, several long branches filled with tiny, lilac-like purple flowers in his arms. Vervain. â€Å"Wear this,† he commanded, tucking a sprig into each of our breast pockets. â€Å"Y shouldn’t have, Father,† Damon said ou tersely, as he plucked the sprig out of his pocket and shoved it into his breeches pocket. â€Å"I’ve given you latitude, son, and given you a roof. Now all I ask is that you do this,† Father said, slamming his meaty fist into his palm so hard, I saw him wince. Thankfully, Damon, usually so quick to pounce at any sign of weakness, didn’t notice. â€Å"Fine, Father.† Damon shrugged easily and spread his arms as if in defeat. â€Å"I would be honored to wear your flower for you.† Father’s eyes flickered with rage, but he didn’t say anything. Instead, he simply broke off another sprig and tucked it into Damon’s coat pocket. â€Å"Thank you,† I mumbled as I accepted my own branch. My statement of thanks was less for the flower and more for Father showing mercy on Damon. â€Å"Be careful, boys,† Father said, before retreating to his study. Damon rolled his eyes as we walked outside. â€Å"Y shouldn’t be so hard on him,† I mumbled, ou shivering in the night air. The summer-like day had become a chilly fall evening, but the mist that had been everywhere last night had lifted, giving us a been everywhere last night had lifted, giving us a crystal-clear view of the moon. â€Å"Why not? He’s hard on us.† Damon snorted as he led the way to the stable. Mezzanotte and Jake were already bridled and stamping their hooves impatiently. â€Å"I had Alfred get everything ready. Thought we’d need a quick getaway.† Damon swung his leg over Jake’s back, then galloped him down the path and turned in the direction opposite of town. We rode in silence for at least a half hour. With just the sound of the hooves and the sight of the moon peeking through the dense foliage, it felt like we were riding into a dream. Finally, we began to hear sounds of flutes playing and laughter and the occasional gunshot. Damon directed us up over a hill toward a clearing. Tents were set up all over, and a piper played in the corner. Men were walking around, and dogs were stationed at the entrance. It was as if we’d arrived at a mysterious, hidden party. â€Å"Hello, sir?† Two Confederate soldiers came up to us, their rifles pointed toward us. Mezzanotte took a few steps back and whinnied nervously. â€Å"Soldier Damon Salvatore, sir! Here on leave from General Groom’s camp down in Atlanta.† Immediately, the two soldiers relaxed their rifles and tipped their hats at us. â€Å"Sorry ’bout that, soldier. We’re gearin’ up for battle, and we’re losing our men like flies, before they even hit the battlefield,† the taller soldier said, stepping up to pat Jake. â€Å"Y and not because of typhus,† the other, es, smaller, mustachioed soldier said, obviously pleased to share this information with us. â€Å"Killings?† Damon asked tersely. â€Å"How’d you know?† the first guard asked, stroking his rifle. I glanced at the ground, unsure what to do. I felt that Damon was getting us into a dangerous situation, but I didn’t know what I could do to fix it. â€Å"My brother and I are coming from Mystic Falls,† Damon said, jerking his thumb back as if to prove that was the direction we came from. â€Å"The next town over, past the forest. We’ve had some of our own trouble. People are saying it’s some type of animal.† â€Å"Not unless it’s an animal that only goes for the throat and leaves the rest of the body untouched,† the mustachioed soldier said knowledgeably, his tiny eyes flicking back and forth between us. â€Å"Hmm,† Damon said, sounding suddenly uninterested. But then he changed the subject. â€Å"Any good games of poker going on tonight?† â€Å"Right there in that clearing by the oak trees.† The small soldier pointed a little ways off into the distance. â€Å"Have a good evening, then. I thank you for your help,† Damon said with exaggerated politeness. We walked in the direction the soldier pointed, until Damon stopped abruptly at a small circle of soldiers, huddled around a fire and playing cards. â€Å"Hello! Soldier Damon Salvatore on leave from General Groom’s boys,† Damon said confidently as he slid off his horse and glanced around the faces lit up by the campfire. â€Å"This is my brother, Stefan. Can we be dealt in?† One ginger-haired soldier glanced at an older, grand-fatherly type whose arm was in a sling. He shrugged and gestured for us to sit on one of the logs set up around the fire. â€Å"Don’t see why not.† Adrenaline seeped through my veins as we settled down and took our hands. Mine was good: two aces and a king. I immediately threw in some rumpled notes from my pocket, making a bet with myself. If I won money, then everything would be fine with Katherine. And if I didn’t, then †¦ well, I didn’t want to think about it. â€Å"All in,† I said confidently. After we settled the game, I wasn’t surprised to emerge as the victor. I smiled as I took the pile of money and carefully put it in my pocket. I grinned in relief, finally feeling sure in my love for Katherine. I imagined what Katherine would say. Smart Stefan, maybe. Savvy Stefan. Or maybe she’d simply laugh, showing her white teeth, and allow me to take her into my arms and twirl her around and around the room†¦. We played several more hands after that, during which I lost the money I had won, but I didn’t care. The first hand had been the test, and now my heart and mind felt remarkably light. â€Å"What are you thinking?† Damon asked, taking a flask from his pocket. He held it toward me, and I took a long swig. The whiskey burned going down my throat, but I still craved more. It didn’t seem that any of the other soldiers were up for another hand. The five we were playing with had drifted off to chew tobacco, drink more whiskey, or tearfully talk about their sweethearts back home. â€Å"Come on, brother, you can tell me,† Damon encouraged. He took the flask, swigged from it, then passed it back toward me. I took another, deeper drink and paused. Should I tell him? Any hesitation I had earlier had disappeared. After all, he was my brother. â€Å"Well, I was thinking about how different Katherine is than any other girl I’ve met †¦,† I began evasively. I knew I was treading into dangerous territory, but part of me was dying to know whether Damon also knew Katherine’s secret. I took another sip of whiskey and coughed. â€Å"How’s she different?† Damon asked, a smile curving on his lips. â€Å"Well, I mean she’s not,† I said, sobering up as I frantically tried to backtrack. â€Å"I just meant that I noticed that she is–† noticed that she is–â€Å" â€Å"That she’s a vampire?† Damon interrupted. My breath caught in my throat, and I blinked. I glanced around nervously. People were drinking, laughing, counting their winnings. But Damon was simply sitting there, the same smile on his lips. I couldn’t understand how he was smiling. And then a new, darker thought appeared in my mind. How did Damon know that Katherine was who she was? Had she told him? And had it been the same way, in the misty predawn, in bed? I shuddered. â€Å"So she’s a vampire. What of it? She’s still Katherine.† Damon turned to look at me, urgency in his dark-brown eyes. â€Å"And you won’t say anything to Father. He’s half crazy as it is,† Damon said as he scuffed his boot against the ground. â€Å"How did you find out?† I couldn’t stop myself from asking. Suddenly, a shot was fired. â€Å"Soldier down!† a uniformed boy who looked to be about fourteen yelled as he charged from tent to tent. â€Å"Soldier down! Attack! Out into the woods!† Damon’s face paled. â€Å"I need to help. Y little ou, brother, go home.† â€Å"Are you sure?† I asked, feeling torn and suddenly frightened. Damon nodded tersely. â€Å"If Father asks, I drank too much at the saloon and am sleeping it off somewhere.† Another shot was fired, and Damon took off into the woods, blending into the sea of soldiers. â€Å"Go!† Damon yelled. I ran in the opposite direction to the now-abandoned camp and dug my heels into Mezzanotte, whispering in her velvety ears and imploring her to go faster. Mezzanotte rode through the forest faster than she ever had before; once across the Wickery Bridge, she turned, as if she knew exactly how to head home. But then she reared and whinnied. I held on with my thighs and saw a shadowy figure with golden-brown hair, arm-in-arm with another girl. I stiffened. No women would be out after dark unaccompanied by a man in the best of circumstances, but definitely not in these times. Not with the vampire attacks. The face turned, and in the reflection on the water I saw a pale, pointed face. Katherine. She was escorting little Anna from the apothecary. All I could see were the dark vines of Anna’s curls, bouncing over her shoulders. â€Å"Katherine!† I yelled from the horse, with a strength I did not know I possessed. Now, instead of wanting to hold her, I wanted to use my arms to restrain her, to make her stop carrying out the awful thing she was about to do. I felt bile rise in my throat as I imagined finding a jagged branch and ramming it into her chest. Katherine didn’t turn around. She held Anna’s shoulders tighter and led her into the forest. I kicked Mezzanotte hard on the flanks, the wind whipping against my face as I desperately tried to catch up with them. How to cite Stefan’s Diaries: Origins Chapter 18, Essay examples

Gender and Social Economic Variation

Question: Discuss about theGender and Social Economic Variation. Answer: Introduction The aim of this research proposal is to develop an understanding the expenditure pattern concerning gender and social economic variation. The research proposal provides an outline about the expenditure incurred by a household during the preference period. The proposal examines the age structure of the gender gap in household expenditure allocation by making the use of survey data. The investment motive hypothesis upholds that resources are allocated to household members. Intra-household gender dissimilarities in health expenditures could be determined by gender dissimilarities in the value of male and female health in household production.[1] Higher health expenditures are received by women of childbearing as well as motherly ages. Efforts were also made in this proposal to classify households into diverse socio-economic categories by making the use of three dissimilar characteristics. The characteristics include social group, the type of household as well as size class of land posse ssed by the household. The literature mainly focuses on gender-specific motivation for allowances. As a result, women seem to function as insurers for the families. [2] Literature Review A review of accessible literature associated to the subject is an important as well as essential part of any research study. Objectives and methodology will be framed with the help of a decisive survey of the literature. As opined by [3], international migrants moves from developing to developed countries and they get familiar with a diverse society as well as new markets in the target countries. It has been found that allowance receipt raises the household expenditure on both health and education. However, an allowance reduces liquidity constraints. Investment motive mainly constitutes a reasonable explanation for gender differences in household expenditure. Intra-household gender differences in expenditure could be determined by gender differences in the value of male and female health in household production. As opined by [4], the two largest colonies NSW and Victoria established universities with a restricted range of disciplines. The strong worldly nature of the society in Australia discouraged the involvement of the university in the education of clergy. However, the universities in Australia moved relatively in order to enroll females. As a result, they got admission into Melbourne as well as Sydney university. The educational system was characterized by dissimilarity between academic and professional education. The initial gender breakdown of students enrolled at universities when the population was 7 million. However, out of 7 million individuals 14,236 were enrolled out of which 28 percent were females. Women born and hoisted in an era when female workforce participation rates and female wages were comparatively low might have predicted that they would not themselves be participating in the labor force for long. As a result, expenditure on higher education will bring inadequate return to cover the costs. Gender wage gaps has also reduced over the past few decades. However, from the middle of the twentieth century led to the right of entry to Australian universities that in turn extended the introduction of mass secondary school education as well as the expansion of the number of universities. With the expansion of the academic specialization, the curriculum also increased. As a result, gender stereotypes eroded. This reduced market explicit discrimination against females. As a result, women acknowledged improved career opportunities. The increasing expectation of labor force participation as well as reduction in the gender pay gap encouraged females to expend more in higher education. As a result, the economy has continued to restructure and labor demand has risen in professional occupation as well as service industries. Total household consumption in Australia is recorded to be more than 50 percent of Gross Domestic Product (GDP). However, it has been found that considerable gender discrimination is mostly found in health care spending for children while the households face resources shortage. The universities in Australia vary greatly in the proportion of students from low socio economic backgrounds. [5] As opined by [6], the proportion of enrolment of low socio economic students lies in the policies that are obtainable for universities in order to augment the proportion of low SES students that they admit. Despite the unpretentious increase over the last ten years, the individuals from lower socio economic status stay underrepresented among advanced educated students. it has been found that with the gender gap among domestic students, the gap has widened by almost 20 percent. However, as per the records it has been found that the gender gap is mainly broadening due to lack of men at the university. However, as per the research the number of females had jumped to 129,045 from 79,222 that accounts for 63 percent of the increase. With each passing year, the gap has narrowed with females achieving 52 percent of course completion as compared to 48 percent of males. The research also shows that the higher education sectors in Australia have undergone an expansion in the number of students . The socio-economic status students in the university of Australia increased by 17 percent in the year 2012 and 17.5 percent in the year 2013. [7] It has been found that only 16.1 percent of domestic higher educated students have an enduring home address among 25 percent lowest socioeconomic postcodes. The augment in the percentage of students from low socioeconomic areas have increased steadily over the phased accomplishment of demand driven financial support since the year 2010. The native population has been found underrepresented. As per the survey that has been conducted, it is found that there has been an incomplete closing of the gap in higher education contribution in recent years. The percentage of students who are found to be native has increased by more than 1.2 percent. [8] Research Question The prime objective of this research proposal is to determine thestudy of expenditure pattern of students with regarding to gender and social economic variation. It is mainly a multidimensional issue that is deeply embedded. How the diminishing gender gaps encourage women to spend more on higher education? What are the recommendations that will help to improve the socioeconomic variation in Australia? Hypothesis H0: Expenditure pattern of students is negative about gender and social economic variation H1: Expenditure pattern of students is positive about gender and social economic variation Research Methodology The research methodology requires congregation of relevant data from particular documents. It is mainly a systematic plan that helps to conduct the research. The methodology comprises interviews as well as surveys and technical research. The research methodology mainly comprises of two methods that includes qualitative as well as quantitative method. The research method that is used in the proposal is quantitative method that emphasizes on objective measurement as well as the statistical and mathematical analysis of data that are collected mainly through polls, questionnaires as well as surveys. The data is mostly collected by making the use of structured research instruments. [9] Research Philosophy: Research philosophy is an enormous topic that incurs a method by which data about a phenomenon is gathered as well as analyzed. The various philosophies of research approach is included by both epistemology as well as doxology. [10]In order to conduct the research philosophy it is important to include the following steps: It is required to identify the research philosophy that will be pragmatism, positivism as well as realism. It is also required to discuss the implication about the research philosophy on the research strategy. Positivism According to the positivist, the reality is stable that can be observed as well as described from the objective perspective. Positivism deals without interfering with the occurrence being considered. They also challenge the fact that phenomena should be inaccessible. Under positivism, prophecies are made based on the previously observed realism and their inter-relationships. Positivism has a long as well as rich historical tradition. It is so entrenched that knowledge is not claimed as grounded. Interpretivism Interpretivism is also referred to as interpretivist that mainly involves researchers to construe elements of the study. It is also associated with the philosophical position of impracticality that is used to group diverse approaches jointly. This approach is also based on naturalistic approach of data collection such as interviews. Interpretivism philosophy had helped secondary data research to become popular. However, there are disadvantage that are related with interpretivism, as it cannot simplify data that is impacted heavily by individual point of view as well as values. [11] Deductive Approach This type of approach is mainly concerned with developing a hypothesis that is mainly based on the existing theory. As a result, it is important to make use of this approach to conduct the research. This approach can be explained by the method of hypothesis that is derived from the ratio of the hypothesis. [12] Data Collection and Analysis Methods As the proposal is mainly based on the secondary analysis, all the required economical data will be collected directly from the official website of Australian Bureau of Statistics. With the help of this website, the researcher will focus on how gender gap affects expenditure. The data analysis will also involve statistical analysis that will be assessed by making the use of correlation among the variables. The changes in the variables are mainly depicted with the help of correlation series. However, one of the most important feature of accrual accounting is negative correlation. [13] Gantt Chart A Gantt chart is mainly used in the management of project. Gantt chart is one of the most common as well as useful is used to display activity against time. A bar represents each activity and the position of the bar reflects the start date. Task Start Date Duration (weeks) End Date Project Proposal 21-Jul 3 10-Aug Literature Review 4-Oct 9 4-Dec Research Methodology 5-Feb 8 29-Mar Data Analysis 1-Mar 4 31-Mar Final Report Submission 1-Apr 4 30-Apr The most important task of the research is to prepare the project proposal. After conducting the outline of the research, the work related to research will be started. The subject matter requires being clear to the researcher after conducting the research. The Gantt chart is conducted to show the estimated time for each task. The above graph shows that the estimated time differs from the original time. The present research proposal requires secondary research that incurs less time as compared to primary research. [14] Description of the Research Process There are various methods that are used while the collection of data in this proposal. The secondary method has been used by collecting data from Australian Bureau of Statistics. Apart from these sources, the data has also been collected from newspapers, sources, books as well as journals. While the data collection both the qualitative and the quantitative methods can be used. The research will find out that how gender gap affects expenditure and how the socioeconomic variation is impacted due to expenditure pattern in Australia. Expected Outcome Expected outcome of this research socioeconomic students have modest impact on the performance of the university. It has been found that the students with lower socioeconomic variation have performed marginally better than their peers from the students with higher socioeconomic variation. In the academic outcome, a legion of women mostly outperforms the legion of men. References 6, Perri, and Christine Bellamy., 'Principles of Methodology: Research Design in Social Science', Anonymous Translator(, Los Angeles, SAGE, 2012;2011;). Baker, H. Kent, and John R. Nofsinger., 'Robert W. Kolb Series: Socially Responsible Finance and Investing : Financial Institutions, Corporations, Investors, and Activists (1)', Anonymous Translator(, Wiley, 2012). Biddle, Nicholas, and John Taylor. 'Demographic Consequences of the 'Closing the Gap' Indigenous Policy in Australia',Population Research and Policy Review,vol. 31/no. 4, (2012), pp. 571-585. Boonstra, Sheri Klug, and Philip Christensen. 'Mars Student Imaging Project: Real Research by Secondary Students',Science,vol. 339/no. 6122, (2013), pp. 920. Caddy, Ian. 'Remuneration and Gender in Australia: Background Review and Recent Analysis',International Employment Relations Review,vol. 19/no. 2, (2013), pp. 38-61. Charlesworth, S., and F. Macdonald. 'Australia's Gender Pay Equity Legislation: How New, how Different, what Prospects?',Cambridge Journal of Economics,vol. 39/no. 2, (2015), pp. 421-440 Fu, Jun, Jinzhao Wu, and Hongyan Tan. 'A Deductive Approach Towards Reasoning about Algebraic Transition Systems',Mathematical Problems in Engineering,vol. 2015/(2015), pp. 1-12 Iizuka, Cristina A., Paula M. Barrett, Robyn Gillies, et al. 'Preliminary Evaluation of the Friends for Life Program on Students' and Teachers' Emotional States for a School in a Low Socio-Economic Status Area',Australian Journal of Teacher Education (Online),vol. 40/no. 3, (2015), pp. 1-20. Mecatti, Fulvia, Franca Crippa, and Patrizia Farina. 'A Special Gen(d)Re of Statistics: Roots, Development and Methodological Prospects of Gender Statistics',International Statistical Review,vol. 80/no. 3, (2012), pp. 452-467. Mkansi, Marcia, and Edwin Asiamah Acheampong. 'Research Philosophy Debates and Classifications: Students' Dilemma',Electronic Journal of Business Research Methods,vol. 10/no. 2, (2012), pp. 132. New C Reactive Protein Findings from University of Western Australia Outlined (Gender and the Active Smoking and High-Sensitivity C-Reactive Protein Relation in Late Adolescence)',Life Science Weekly,(2015), pp. 3361. O'Reilly, J., M. Smith, S. Deakin, et al. 'Equal Pay as a Moving Target: International Perspectives on Forty-Years of Addressing the Gender Pay Gap',Cambridge Journal of Economics,vol. 39/no. 2, (2015), pp. 299-317. Tam, Siu-Ming, and Frederic Clarke. 'Big Data, Official Statistics and some Initiatives by the Australian Bureau of Statistics: Big Data and the ABS1',International Statistical Review,(2015), pp. n/a. Weller, Patrick. 'Anticipating Interpretivism: Heclo and Wildavsky as Pioneers?: Anticipating Interpretivism',Australian Journal of Public Administration,vol. 73/no. 3, (2014), pp. 331-339

Web Portal Essay Example

Web Portal Essay Automatic Identification of Temporal Information in Tourism Web Pages Stephanie Weiser*, Philippe Laublet**, Jean-Luc Minel* * MoDyCo, UMR 7114, CNRS 200 avenue de la Republique, 92001 Nanterre ** LaLIC, Universite Paris-Sorbonne Maison de la recherche, 28 rue Serpente 75006 Paris E-mail: steph. [emailprotected] com, Philippe. [emailprotected] fr, [emailprotected] fr Abstract This paper presents our work on the detection of temporal information in web pages. The pages examined within the scope of this study were taken from the tourism sector and the temporal information in question is thus particular to this area.The differences that exist between extraction from plain textual data and extraction from the web are brought to light. These differences mainly concern the spatial arrangement of the text, the use of punctuation and the respect of traditional syntactic rules. The temporal expressions to be extracted are classified into two kinds: temporal information that concerns one parti cular event and repetitive temporal information. We adopt a symbolic approach relying on patterns and rules for the detection, extraction and annotation of temporal expressions; our method is based on the use of transducers.First evaluations have shown promising results. Since the visual structure of a web page is very important and often informs the user before he has even read the text, a semiotic study is also presented in this paper. 1. Introduction With the methods of the Semantic Web, portal applications can be created, relying on ontologies. For these applications and many service applications, temporal information is often essential. For example, a tourism web portal would need information about the type of tourism object and its location in time and space.In addition, the extracted information must be stored in the knowledge base according to the ontology used by the application. In this paper we will focus on temporal information in tourism web pages. The temporal informat ion has to be detected, extracted and annotated. The annotation format will probably rely on existing XML tools (Stern 2007). To perform these tasks, we encountered three main kinds of difficulties. First, we have to deal with complex, imprecise temporal information. Of course, single dates are easy to process but more complex expressions, such as periods or repetitive information (e. . from March to July, open every day except Tuesday), must be treated as well. Second, after being extracted, the information needs to be linked to the proper tourism object. If the web page concerns only one object, this is straightforward, but some web pages concern many objects and an analysis is therefore necessary to decide how to link each piece of information to its object. Third, the web pages we deal with are all of the same type: tourism web pages. However, they vary a lot as they are made by different people, have different forms and concern different types of tourism objects.We will try to show that a semiotic study of some pages is necessary to take into account some of their specificities. The work presented in this paper is situated within the framework of the EIFFEL project. Its main objective is to create a portal in the area of tourism with different functionalities. This portal, for use by the local tourism sector, will include a specialised search engine. It will allow users to find and collect precise and essential information in context. It will also help the territory as a French region to promote its services. This is a wideranging project (Noel et al. 008) which is based on web semantic technologies, knowledge representation and linguistic methods and expertise. It includes automatic identification, selection and extraction of various items from the Web according to existing ontologies. This project involves mainly two companies – Mondeca and Antidot – and three laboratories – LIRMM (CNRS), INRIA-Rocquencourt and MoDyCo (CNRS). Our co rpus, meaning that the pages have been collected for this particular study, in a precise context, is composed of more than 5000 tourism web pages in French. These pages were collected by automatic crawling of websites.They were collected by the company Antidot and transformed into XML files in order to make them more suitable for automatic processing. 2. Temporal Information in Web Pages The detection and extraction of temporal information is a subject that has already been widely studied (Battistelli et al. 2006), but mostly in the context of â€Å"printed textual objects† and not in texts specifically written for web pages. One of the aims of this paper is to show that studying the same type of temporal information is very different when it takes place in a web context.In tourist guide books, for example, the information is a lot more structured and standardized than on our web sites, which are extremely diverse and do not follow a 127 common page model. Every entry of a gu ide concerning a particular tourism object is often structured in the same way and contains the same type of information. Linguistic markers allow us to locate each piece of information. Punctuation is very rigorous and facilitates interpretation, especially automatic interpretation. On the other hand, on web pages, punctuation – if there is any – is rarely correctly used.More often, white spaces or new lines are used as separators. Even if the analysis of a text is not easy, a lot of syntactic tools already exist to perform this task automatically. For example, it is possible to build the syntactic tree of a given sentence, find the verb, etc. However, some complicated tasks, such as anaphora resolution, can make the analysis of texts a lot more complex. What we are interested in here is that the difficulties that are encountered for web pages are very different from those that text analysis presents.For example, in a tourism guide book1, each restaurant entry is stru ctured in the same way: name, address, phone number, metro station and opening details, e. g. ouvert tous les jours (open every day). Each item can easily be automatically processed. The problem is that, on a web page, the same kind of information would more likely look like the web page presented in figure 1. integrating temporal and spatial reasoning into XML query and transformation operations. Their work has lead to WebCal, a program which provides calendrical calculations for web services. 3. Tool and Method for the Temporal Expression DetectionWe have a symbolic approach relying on patterns and rules for the detection, extraction and annotation of temporal expressions (in French). We do not use any machine learning techniques. Our method relies on the use of transducers, created using the graphical interface of the Unitex corpus processor2. Unitex provides an intuitive and user-friendly method for creating transducers, which tag the output (as opposed to regular expressions wh ich do not modify the output). A wide variety of patterns can be recognized and tagged by our transducers, from very simple expressions to very complex ones.On one hand, generalizations can be made (such as using the symbol to tag all numbers). On the other hand, the transducers can be very detailed and precise for particular cases, for example, to recognize expressions such as a lexception du mois de mai – except in May. Here are a few examples of the expressions to be detected: (1) Le 21 avril April, the 21st (2) Du 10 au 21 mars From the 10th to the 21st of March (3) Du lundi au vendredi, 9h – 11h From Monday to Friday, 9am-11am (4) Inauguration du musee le 7 juillet 2006 Inauguration of the museum on the 7th of July 2006 (5) En Juillet et Aout ouvert tous les jours.Hors cette periode, fermeture le mercredi soir, le jeudi toute la journee et le dimanche soir. Horaires douverture: de 12h00 a 14h00 de 19h00 a 22h00. Open every day in July and August. Outside this peri od, closed on Wednesday night, all day Thursday and on Sunday night. Opening times: from noon to 2pm from 7pm to 10pm. Figure 1: Example For now, there is no tool able to interpret that Chez Paul et Bernadette Colas is the name of a Bed Breakfast or that Ouvert du 15 fevrier au 30 (open from February 15th to 30th) is its opening information.This is why the extraction of temporal information from texts can not be directly applied for Web pages: there is no standardized â€Å"syntax† for web pages. Our work is close to that of (Tenier et al. 2006). The object of their work is to extract, from web pages, information about contributors to scientific events. Our approach is more general since the web pages analyzed by these authors follow spatial arrangement rules while spatial arrangement on our pages is completely free. Our work is also close to that of (Bry et al. 2003) who aim at 1 3. 1. ClassificationAs shown in these examples, the type of temporal information to be identifi ed varies. Two main types can be highlighted: temporal information that concerns one particular event and repetitive temporal information. For the first type there are dates (concert on October 1st), periods (festival from May to June), and times (the concert starts at 8:00). For the second there are times (the museum opens at 10am), periods (the restaurant is open from Monday to Saturday) and exceptions (the camping ground is open all year long except in January). More complex examples, such as from MarchLe guide du routard – Paris balades 2007 p. 231 :  « Le SaintAmour 2, av. Gambetta, 75020. 01-47-97-20-15. Metro PereLachaise. Ouvert tous les jours  » (Open every day) 2 Unitex: http://www-igm. univ-mlv. fr/~unitex 128 to July, open every day except Tuesday, can also be included in this classification. In addition, not every occurrence of temporal information needs to be detected, since they do not necessarily concern a tourism object. For example, a single date, which is not introduced by a linguistic marker such as heure douverture (opening time) probably does not concern a tourism object.Single dates like these often concern the web page itself as in Derniere modification : 25/10/2006 (last modification : 25/10/2006). Therefore, we have been careful not to detect these dates. One problem that has been encountered is that some lexical marks are ambiguous. For example is Friday and Sunday night to be interpreted as meaning Friday night and Saturday night, or rather Friday all day and Saturday night? The context is therefore necessary to remove the ambiguity. For this example, if the object is a concert, the first interpretation will probably be the right one.For the whole corpus of 100 pages, we obtain a recall rate of 92% and a precision of 76%. Figure 2: Recall for the first evaluation 3. 2. Technical Information The tool Unitex, which uses dictionaries based on the tables of the LADL3, allows the user to process corpora on the lexical, syntact ic and morphological levels. It allows for the identification and tagging of structures which correspond to regular expressions, represented by finite state graphs. This graphical representation makes using Unitex more intuitive than the use of long regular expressions.We built our transducers using this tool, following the linguistic study that listed the patterns of temporal expressions that could be found on web pages. The set of transducers includes one main transducer and 23 secondary graphs. These transducers include 88 lexical markers (like ouverture – opening, mars – March, inauguration) and 22 grammatical markers (like sur – on, le – the, dans – in). Figure 3: Precision for the first evaluation The important variation in the results is due to the fact that there are not a lot of temporal expressions to detect in the pages (7 for sets 1 and 3, 9 for set 2, 20 for set 4 and 8 for set 5).The precision for set 5 is especially low because one p age contains a forum with 4 temporal expressions that are detected but do not concern a tourism object. 4. Evaluations 4. 1. First Evaluation The transducers allowing the detection of temporal information were manually created from a study of a set of pages. In order to evaluate and optimise them, we tested them on sets of 20 web pages, randomly manually selected from our corpus. This operation was performed five times and the transducers have thus been tested on 100 different pages. The results of this experiment are presented in the diagrams below.Recall and precision were calculated for each set of 20 pages (figure 2 and figure 3). 4. 2. Second Evaluation A different procedure was used for the second evaluation. We deliberately manually selected 25 pages containing temporal information. Some of these pages were randomly opened and selected when they were found to contain temporal information; for the others our transducers were applied to more than 200 pages and those with result s were selected. For these 25 pages, the recall is 39,1% and the precision is 46,5%. Here are a few numbers to explain these figures. These pages contain 69 expressions to detect.The transducers match and tag 58 expressions: 27 are correctly detected, 3 are falsely detected (they should not be detected because they do not correspond to temporal tourism information), 28 expressions are incompletely detected and 25 expressions are missed. We are faced with two kinds of incomplete expressions. In the first kind a part of the expression is not matched, Laboratoire d’Automatique Documentaire et Linguistique – the tables were created by Maurice Gross and consist in a classification of lexical units according to syntactic and distributional criteria. 3 129 or example in toute la journee de 8h00 a 19h00 (all day long from 8:00am to 7:00pm), only the underlined part is detected. In the second kind of incomplete expressions, each pattern to be matched is detected in two or more matches, for example ouvert tous les jours en juillet et aout (open every day in July and August) is detected in two matches. 16 of the 28 incomplete expressions produced by our system correspond in fact to 5 correct expressions. Horaires Lundi Mardi Mercredi Jeudi Vendredi Samedi Matin 8h30-12h00 8h30-12h00 8h30-12h00 8h30-12h00 8h30-12h00 10h00-11h30Ap-midi 14h00-18h00 14h00-18h00 14h00-18h00 14h00-18h00 14h00- Figure 5: vertical table of opening times A human user would understand both of these tables without the slightest problem. For an automatic treatment, however, it is more complicated. If we do not look at the structure, but only at the text, the first table would then contain â€Å"Horaires lundi mardi mercredi jeudi vendredi samedi matin 08h30 12h00 08h30 12h00 08h30 12h00 08h30 12h00 08h30 12h00 10h00 11h30 ap. midi 14h00 18h00 14h00 18h00 14h00 18h00 14h00 18h00 14h00 †: a text flow that is incomprehensible.The second table would contain â€Å"Horaires Matin Ap-midi Lundi 8h30-12h00 14h0018h00 Mardi 8h30-12h00 14h00-18h00 Mercredi 8h3012h00 14h00-18h00 Jeudi 8h30-12h00 14h00-18h00 Vendredi 8h30-12h00 14h00 – Samedi 10h00-11h30 † it is clearer but it is very different from the text of the first one, for exactly the same meaning. Technical tools that allow a specific markup for headers in the table exist. But the web pages of our corpus are mostly built by professionals from the tourism sector and not by professional web designers: they do not use these technical tools.Consequently, only graphical elements and lexical content allow interpretation of these kinds of tables. In order to take into account these semiotic marks in automatic processing, the structure of the pages must be studied. An analysis of the XML tree is therefore necessary (Tenier et al. 2006). The high number of missed expressions is due to the fact that isolated dates without context are voluntarily ignored in order to avoid incorrect detections (li ke in derniere modification : 25 avril 2006 – last modification: April the 25th 2006).Some pages presenting an event schedule contain more than 10 dates without context that are therefore not detected. 22 out of the 25 missed expressions are concerned by this problem, which will be solved in the near future. 5. The Semiotic Marks For now, only textual information is taken into account, but a web page presents information in many other ways. The visual structure of a web page often informs the user before he has even read the text. For example, the structure could allow him to understand that the page concern one single object and not a collection of objects.In the same way, the formatting style (font, size, colour) can be very meaningful since it can often be assumed that two items written in the same font and colour are linked. One difficulty lies in automatically interpreting these semiotic marks. Many things are understandable at first sight for a human being but are hard to specify for automatic processing. On web pages, tables are commonly used to present information. They need a special treatment since their interpretation is not straightforward. 6. Conclusion In this paper we have presented our work on the detection of temporal information in web pages.We have focused on the differences that exist between extraction from plain textual data and extraction from the web. In addition, we introduced our main linguistic resource, our transducers, which could be used for many different NLP applications. We also presented the results obtained in applying these transducers to our corpus. The transducers that have been presented will be improved. They will be enriched with information concerning the type of tourism object, in order to determine the links between the temporal information detected and what they refer to.The work on semiotic marks will be continued in order to implement the study of the structure of the pages, analysing XML trees. Figure 4: O pening times table The figure 4 is an example of a table of opening times found on a web page. The first row contains the names of the days, the second row contains the opening times in the mornings and the last row contains the opening times in the afternoons. The information could have been presented in a vertical table as the one shown in figure 5: 130 7. Acknowledgements The project EIFFEL (ANR-05-RNTL-007) is funded with an ANR grant. .References Battistelli, D. , Minel, J. -L. , Schwer, S. (2006). Representation des expressions calendaires dans les textes : une application a la lecture assistee de biographies, Traitement Automatique des Langues, 47, 3, pp. 126. Bry, F. Lorenz, B. Ohlbach, H. J. Spranger, S. (2003). On Reasoning on Time and Location on the Web, Lecture Notes in Computer Science, Springer-Verlag, Germany, pp. 6983. Noel, L. , Carloni, O. , Moreau, N. , Weiser, S. (2008). Designing a Knowledge-Based Tourism Information System, Int. J. f Digital Culture and Electr onic Tourism, Special Issue on National Tourism Organisations and Exploitation of Information Technologies, to be published. Stern, R. -D. (2007). Expression linguistique du temps et representation ontologique : OWL-Time et etude des adverbiaux temporels, Memoire de Master IILGI, Universite de Paris-Sorbonne. Tenier, S. , Toussaint, Y. , Napoli, A. et Polanco, X. (2006). Instantiation of relations for semantic annotation, In the 2006 IEEE/WIC/ACM International Conference on Web Intelligence WI 2006, pp. 463-472 131

Online Pharmacy Essay Samples - Find Some Great Writing Materials

Online Pharmacy Essay Samples - Find Some Great Writing MaterialsThe best place to start your search for pharmacy essay samples is online. Using a pen and paper, or a laptop computer will help you write an essay in the comfort of your own home. On the internet you can find very detailed samples of essays that have been written for a variety of courses, including pharmacy.When you are filling out the details for your pharmacy syllabus, you can get sample essays to use as templates. They can be arranged in chronological order, and you can change the content of the essay as well as the formatting. You can also change the wordings of the words in the syllabus, and you can include answers that you have written to these questions.Your online bookstore will have a large selection of books and writing samples for you to select from. They should also include essays that are free to download. You can then print the cover page with this text, and this will help you to create your own sample pha rmacy essay.If you do not have access to your library, you can use the Google Docs to create a cover page for your library. When you are done, print it out, and then you can paste the contents of the pharmacy essay sample on top of your book cover.One advantage of using pharmacy essay samples for your school is that you do not have to pay to use the material. In the United States, federal law prohibits schools from charging students for used items. If they do, they must provide a credit.It is highly recommended that you send your own homework assignments, as well as essays, to your professors or tutors. This will help you to give them a more personal touch, and it will give you a better chance of getting a good grade.Whether you are a student at school, or a high school teacher, it is recommended that you purchase all of your writing samples online. The convenience of this method is far greater than any other method.

Image and Reality essays

Image and Reality essays Image and Reality In the years since the thousand days many questions have been raised and are still being studied about John F. Kennedy. A Life of John F. Kennedy: A Question of Character is a book written by Thomas C. Reeves, in which Reeves discusses these issues. JFK was a great man, and yet there are still some things that one must take into consideration. His morality was always somewhat of an uncertainty; be that as it may, these questions are still not openly discussed. People were always taken aback by his personality, good looks, and youth. After his death, it was quite difficult for most people to accept some of the newly discovered negative information about him. The man meant so much to some people that it was impossible to say something less than perfect. But all the same, facts can not be denied. While one may think that each is responsible for his or her actions, that is not always the case. Much of Jacks character develops and originates from his family. He applied these beliefs to his life as well as his presidency. His great grandfather Joseph Kennedys indifference toward people, and the will to do anything to get what he wants, helped to shape much of the character in the entire Kennedy line. Inferior treatment of women also originated from this source. The lacking of a sufficient background as well as a good role model helped shape much of Kennedys negative characteristics. This was reflected in most of his decisions, as a result. So therefore, diversity between Kennedys presidential appearance, and his private life of scandals, was unmistakable. His indifference to the values of proper judgement, unselfishness, and sincerity to his wife and work was also reflected in his ability to make thought out decisions. Though interesting enough, his greatest talent was the ability to manipulate himself well enough that it appeared as though he contained the quali...

Argon Facts (Atomic Number 18 or Ar)

Argon Facts (Atomic Number 18 or Ar) Argon is a noble gas with element symbol Ar and atomic number 18. It is best known for its use as an inert gas and for making plasma globes. Fast Facts: Argon Element Name: ArgonElement Symbol: ArAtomic Number: 18Atomic Weight: 39.948Appearance: Colorless inert gasGroup: Group 18 (Noble Gas)Period: Period 3Discovery: Lord Rayleigh and William Ramsay (1894) Discovery Argon was discovered by Sir William Ramsay and Lord Rayleigh in 1894 (Scotland). Prior to the discovery, Henry Cavendish (1785) suspected some unreactive gas occurred in air. Ramsay and Rayleigh isolated argon by removing the nitrogen, oxygen, water, and carbon dioxide. They found the remaining gas was 0.5% lighter than nitrogen. The emission spectrum of the gas did not match that of any known element. Electron Configuration [Ne] 3s2 3p6 Word Origin The word argon comes from the Greek word argos, which means inactive or lazy. This refers to the extremely low chemical reactivity of argon. Isotopes There are 22 known isotopes of argon ranging from Ar-31 to Ar-51 and Ar-53. Natural argon is a mixture of three stable isotopes: Ar-36 (0.34%), Ar-38 (0.06%), Ar-40 (99.6%). Ar-39 (half-life 269 yrs) is to determine the age of ice cores, ground water and igneous rocks. Appearance Under ordinary conditions, argon is a colorless, odorless, and flavorless gas. The liquid and solid forms are transparent, resembling water or nitrogen. In an electric field, ionized argon produces a characteristic lilac to violet glow. Properties Argon has a freezing point of -189.2Â °C, boiling point of -185.7Â °C, and density of 1.7837 g/l. Argon is considered to be a noble or inert gas and does not form true chemical compounds, although it does form a hydrate with a dissociation pressure of 105 atm at 0Â °C. Ion molecules of argon have been observed, including (ArKr), (ArXe), and (NeAr). Argon forms a clathrate with b hydroquinone, which is stable yet without true chemical bonds. Argon is two and a half times more soluble in water than nitrogen, with approximately the same solubility as oxygen. Argons emission spectrum includes a characteristic set of red lines. Uses Argon is used in electric lights and in fluorescent tubes, photo tubes, glow tubes, and in lasers. Argon is used as an inert gas for welding and cutting, blanketing reactive elements, and as a protective (nonreactive) atmosphere for growing crystals of silicon and germanium. Sources Argon gas is prepared by fractionating liquid air. The Earths atmosphere contains 0.94% argon. Mars atmosphere contains 1.6% Argon-40 and 5 ppm Argon-36. Toxicity Because it is inert, argon is considered to be non-toxic. It is a normal component of air that we breathe every day. Argon is used in blue argon laser to repair eye defects and kill tumors. Argon gas may replace nitrogen in underwater breathing mixtures (Argox) to help reduce the incidence of decompression sickness. Although argon is non-toxic, it is considerably more dense than air. In an enclosed space, it may present an asphyxiation risk, particularly near ground level. Element Classification Inert Gas Density (g/cc) 1.40 ( -186 Â °C) Melting Point (K) 83.8 Boiling Point (K) 87.3 Appearance Colorless, tasteless, odorless noble gas Atomic Radius (pm):Â  2- Atomic Volume (cc/mol): 24.2 Covalent Radius (pm): 98 Specific Heat (20Â °C J/g mol): 0.138 Evaporation Heat (kJ/mol): 6.52 Debye Temperature (K): 85.00 Pauling Negativity Number: 0.0 First Ionizing Energy (kJ/mol): 1519.6 Lattice Structure: Face-Centered Cubic Lattice Constant (Ã…): 5.260 CAS Registry Number: 7440–37–1 Argon Trivia The first noble gas to be discovered was argon.Argon glows violet in a gas discharge tube. It is the gas found in plasma balls.William Ramsay, in addition to argon, discovered all the noble gases except radon. This earned him the 1904 Noble Prize in Chemistry.The original atomic symbol for argon was A. In 1957, the IUPAC changed the symbol to the current Ar.Argon is the 3rd most common gas in Earths atmosphere.Argon is produced commercially by fractional distillation of air.Substances are stored in argon gas to prevent interactions with the atmosphere. Sources Brown, T. L.; Bursten, B. E.; LeMay, H. E. (2006). J. Challice; N. Folchetti, eds. Chemistry: The Central Science (10th ed.). Pearson Education. pp. 276 289. ISBN 978-0-13-109686-8.Haynes, William M., ed. (2011). CRC Handbook of Chemistry and Physics (92nd ed.). Boca Raton, FL: CRC Press. p. 4.121. ISBN 1439855110.Shuen-Chen Hwang, Robert D. Lein, Daniel A. Morgan (2005). Noble Gases. Kirk Othmer Encyclopedia of Chemical Technology. Wiley. pp. 343–383.Weast, Robert (1984). CRC, Handbook of Chemistry and Physics. Boca Raton, Florida: Chemical Rubber Company Publishing. pp. E110. ISBN 0-8493-0464-4.