Promotion Mix To Create An IMC Campaign Marketing Essay Essay Example

Promotion Mix To Create An IMC Campaign Marketing Essay Paper As defined by the American Association of Advertising Agencies, integrated selling communications ( IMC ) is a construct of marketing communications be aftering that recognizes the added value of a comprehensive program ( Elliott, 2012, P:491 ) . Companies that sell merchandises or services use some or all of the constituents of a selling and communications mix, besides called a promotional mix. These include advertisement, personal gross revenues, gross revenues publicities, public dealingss and direct selling. Most national trade names use all parts of the mix, each in proportion to the demands of the merchandise. Cereal shapers, for illustration, concentrate most attempts and money on advertisement and gross revenues publicities, such as vouchers. Other merchandises call for different mix ratios, with some mix constituents wholly eschewed. We will write a custom essay sample on Promotion Mix To Create An IMC Campaign Marketing Essay specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Promotion Mix To Create An IMC Campaign Marketing Essay specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Promotion Mix To Create An IMC Campaign Marketing Essay specifically for you FOR ONLY $16.38 $13.9/page Hire Writer In add-on to these cardinal promotional tools, the seller can besides utilize other techniques, such as exhibitions and merchandise arrangement in films, vocals or picture games, which have been turning in popularity in recent old ages. Before continuing any farther, nevertheless, it is of import to emphasize that promotional mix determinations should non be made in isolation. As we saw with pricing, all facets of the selling mix demand to be blended together carefully. The promotional mix used must be aligned with the determinations made with respect to merchandise, pricing and distribution, in order to pass on benefits to a mark market. But for a soft-drinks shaper like Pepsi, IMC can besides be used can be used to make more communicating impact, e.g. Ad can be combined with gross revenues publicities and a small spot of public dealingss such as sponsorship/events. From the facts of the instance survey, Pepsi used a new attack in its selling communicating. Pepsi holds the figure one, 3rd and 4th place among music, overall place among all companies, and amusement channels. It gives a important part on the music channels with 12.81 % portion of coverage and holds the first place in that class. It has the 3rd place on the whole Television media with overall 4.29 % portion of coverage, the effectivity of which is reported in decrease by research workers ( Kotler A ; Keller 2006, p.576 ) . Similarly, it comes at figure 4th on amusement channels. Overall, these new media win the trust of consumers by linking with them at a deeper degree. Sellers are taking note of many different societal media chances and get downing to implement new societal enterprises at a higher rate than of all time before. Social media selling and the concerns that utilize it have become more sophisticated. Q2. How efficaciously has Pepsi integrated digital and traditional media for the publicity of their merchandises? Provide examples of digital media used. Nowadays 1000000s of consumers converse on a day-to-day footing in on-line communities, treatment forums, web logs and societal webs. They turn to the Internet to portion sentiments, advice, grudges and recommendations. It has been said that traditional media is losing its face value and that the Internet is a craze and digital merely applies to the millenary coevals. While that may look true, if you want to remain on the advanced cusp for your concern, utilize both traditional and internet media selling and here are some grounds why: 1. On-line conversations can power or deflate a company s trade name. Do you hold a presence? 2. Discover specific issues that are being discussed around your company, trade name or organisation and make feedback to these issues. 3. There may be events, tendencies and issues that may be act uponing industry and trade name bombilation. 4. Measure how your online and offline selling runs resonate with consumers. 5. Leverage viva-voce to drive trade name credibleness, and finally gross revenues if you use face-to-face selling, Internet Marketing, Search Engine Optimization Strategy, and Social Media Strategy right. Peoples are more likely to pass on through both viva-voce and societal media when they are engaged with the merchandise, service, or thought. This battle may come of course for protagonists of causes, political campaigners, and voguish new technological merchandises. However, it can besides be creatively stimulated for merchandises and services which generate less psychological engagement of clients. For illustration, Pepsi ( 2008 ) uses its Pepsi Stuff online client trueness plan to prosecute consumers by enabling them to deliver points for MP3 downloads, telecasting show downloads, Cadmiums, DVDs, electronics, and dress. Political campaign participants are besides allowed to take part in sweepstakes drawings for larger awards, such as place theatre systems and trip giveaways. Coca Cola ( 2008 ) has a similar run entitled My Coke Rewards. Harmonizing to Nielson research, Television users watch more than of all time before ( an norm of 127 hour, 15 min per month ) and these users are passing 9 % more clip utilizing the Internet ( 26 hour, 26 min per month ) from last twelvemonth. Approximately 220 million Americans have Internet entree at place and/or work with a turning figure utilizing the Internet for research and societal media. Knowing this research, traditional media entertains and communicates to a mass audience whereas digital media entertains, communicates with, and engages the person. The benefits of digital media can be extremely mensurable and sellers can frequently see a direct consequence in the signifier of improved gross revenues in add-on to set uping a direct nexus with the consumer. This can besides be cost effectual. However, the booby traps of digital selling can be that the medium is new, invariably altering and germinating with consequences that vary. You frequently acquire what you ask for! Digital media is known as digitized content ( text, artworks, sound and picture ) that can be transmitted over the Internet. While digital media ingestion such as chirrup, facebook, youtube etc have increased enormously, Pepsi can non disregard consumers who still rely on traditional media for their enlightening and amusement demands, as a consequence, 2/3 of their advertisement budget is still dedicated to traditional media. Sellers must strike a good balance between utilizing traditional and digital/social media and other promotional tools Q3. How might Pepsi step the effectivity of its new run? Provide examples. The most suited standards for measuring the effectivity of advertisement, depends on a figure variables, such as the advertisement ends, the type of media used, the cost of rating, the value that the concern or advertisement bureau topographic points on rating steps, the degree of preciseness and dependability required, who the rating is for and the budget. It is hard to accurately mensurate the effectivity of a peculiar advertizement, because it is affected by such things as the sum and type of anterior advertisement The best measuring of a run s effectivity is its ability to run into its aims. From the instance survey, Pepsi s aims could be: Attract more rival s users ( such as Coca-Cola ) Increase gross revenues volume Hold present Customers Create trade name consciousness To project a rejuvenated image for Pepsi as a socially responsible corporation To alter consumer attitudes from impersonal or unfavorable ( it is a soft drink after all ) to positive To utilize newer, digital media to prosecute in bipartisan communicating with their customers/public. To pass on its new image via it new packaging By and large, Pepsi could utilize the followers to mensurate the run s effectivity: Stimulate an addition in gross revenues Remind clients of the being of a merchandise Inform clients Construct a trade name image Build client trueness and relationship Change client attitudes Sellers recognize that in the modern universe of selling there are many different chances and methods for reaching current and prospective clients to supply them with information about a company and/or trade names. The challenge is to understand how to utilize the assorted IMC tools to do such contacts and present the stigmatization message efficaciously and expeditiously. A successful IMC plan requires that sellers find the right combination of communicating tools and techniques, define their function and the extent to which they can or should be used, and organize their usage. To carry through this, the individuals responsible for the company s communicating attempts must hold an apprehension of the IMC tools that are available and the ways they can be used.

Mass Spectrometry - What It Is and How It Works

Mass Spectrometry - What It Is and How It Works Mass spectrometry (MS) is an analytical laboratory technique to separate the components of a sample by their mass  and electrical charge. The instrument used in MS is called mass spectrometer. It produces a mass spectrum that plots the mass-to-charge (m/z) ratio of compounds in a mixture. How a Mass Spectrometer Works The three main parts of a mass spectrometer are the ion source, the mass analyzer, and the detector. Step 1: Ionization The initial sample may be a solid, liquid, or gas. The sample is vaporized into a gas and then ionized by the ion source, usually by losing an electron to become a cation. Even species that normally form anions or dont usually form ions are converted to cations (e.g., halogens like chlorine and noble gases like argon). The ionization chamber is kept in a vacuum so the ions that are produced can progress through the instrument without running into molecules from air. Ionization is from electrons that are produced by heating up a metal coil until it releases electrons. These electrons collide with sample molecules, knocking off one or more electrons. Since it takes more energy to remove more than one electron, most cations produced in the ionization chamber carry a 1 charge. A positive-charged metal plate pushes the sample ions to the next part of the machine. (Note: Many spectrometers work in either negative ion mode or positive ion mode, so its important to know the setting in order to analyze the data.) Step 2: Acceleration In  the mass analyzer, the ions are then accelerated through a potential difference and focused into a beam. The purpose of acceleration is to give all species the same kinetic energy, like starting a race with all runners on the same line. Step 3: Deflection The ion beam passes through a magnetic field which bends the charged stream. Lighter components or components with more ionic charge will deflect in the field more than heavier or less charged components. There are several different types of mass analyzers. A time-of-flight (TOF) analyzer accelerates ions to the same potential and then determines how long is needed for them to hit the detector. If the particles all start with the same charge, the velocity depends on the mass, with lighter components reaching the detector first. Other types of detectors measure not only how much time it takes for a particle to reach the detector, but how much it is deflected by an electric and/or magnetic field, yielding information besides just mass. Step 4: Detection A detector counts the number of ions at different deflections. The data is plotted as a graph or spectrum  of different masses. Detectors work by recording the induced charge or current caused by an ion striking a surface or passing by. Because the signal is very small, an electron multiplier, Faraday cup, or ion-to-photon detector may be used. The signal is greatly amplified to produce a spectrum. Mass Spectrometry Uses MS is used for both qualitative and quantitative chemical analysis. It may be used to identify the elements and isotopes of a sample, to determine the masses of molecules, and as a tool to help identify chemical structures. It can measure sample purity and molar mass. Pros and Cons A big advantage of mass spec over many other techniques is that it is incredibly sensitive (parts per million). It is an excellent tool for identifying unknown components in a sample or confirming their presence. Disadvantages of mass spec are that it isnt very good at identifying hydrocarbons that produce similar ions and its unable to tell optical and geometrical isomers apart. The disadvantages are compensated for by combining MS with other techniques, such as gas chromatography (GC-MS).

In Chitra Banerjee Divakaruni's short story, Clothes (page 533), Essay

In Chitra Banerjee Divakaruni's short story, Clothes (page 533), Sumita, the protagonist, comes to America where she exp - Essay Example Conflicts in the Life of Sumita Culminated through the Symbolic Scheme Chitra Banerjee Divakaruni’s fictions are generally set against the background of India or in America and mostly they centre round the experiences of the South Asian immigrants especially the women. The story â€Å"Clothes† is not an exception in this regard. The story presents the transition that the protagonist, Sumita undergoes in her life. The story revolves round the transition of Sumita from a young girl to a woman; from woman to a wife and finally facing the climax and the predicament in her life by being a widow. Sumita accepts the tradition of her society and accepts the concept of arranged marriage and marries a man whom she has never met before. She accepts the fact and is shown at the outset of the story to explore the unexplored and know the unknown and with this vision; she whole heartedly starts dreaming of her new life which is going to place her to a complete different socio-cultural milieu. She undergoes a paradoxical transition in her life and that evolves at different times through her clothes and their colours (Almeida, â€Å"The politics of mourning: Grief Management in Cross-cultural Fiction†). Conflict essentially builds up and strengthens the dramatic qualities of any fiction and that conflict does not necessarily mean a conflict with an antagonist in its physical form. The antagonist as in the case is society and the cross cultural transition which treats the existential discourse of the protagonist. Sumita in the US faces difficulty to adept complete change in her attire from eastern styling to that of western. The conflict which she faces is from the transition that she undergoes while changing her identity from wife to a women. One of those dresses includes a T-shirt which is orange in color and symbolizes hope and change on a brighter note. But the destined predicament at the last segment of the story where Sumita has to encounter an unfortu nate incident in the face of her husband’s murder washes all sort of colour and possibility in her life and places her with a confrontation of uncertainty where she is confused to continue her life in a country where the life of her husband was not secured even or get back to the soil i.e. her country from where she was uprooted long back as she fails to identify herself in both the nations and their societies. This is probably the greatest threat encountered by the protagonist of Chitra Banerjee Divakaruni’s short story, â€Å"Clothes† presented in the form of diasporas of existential and identity crisis from the perspective of feminist discourse. Transition in Sumita’s life does not only take place at physical plane but it takes place also mentally. Quite natural to the human nature, it gets reflected through the outward appearance of Sumita precisely through her clothes and its colours. The Indian traditional attire for women is Sari and Sumita at the beginning of the story is seen clad in it fully at one with the tradition of her soil. The selection of each cloth in the story and its colour has a purpose. The story begins with a stage in Sumita’s life when she is about to be a bride and puts a yellow sari, all set to meet her prospective

The history and development of freehold property title in english Essay

The history and development of freehold property title in english system - Essay Example There were three aspects of feudalism such as personal, property, monarchial control. Under this system, the kings had rights but also had to perform responsibilities under feudalistic societal norms Over time, it was seen that the monarch was responsible for giving fiefs to knights for military services rendered to him. The king was also responsible for the upkeep of land since he had only parted with possession and not ownership which still vested with the Crown. Thus it could be seen that in the 10th century, the kings exercised tremendous control and patronage over land, and granted its use as payment for military services rendered by his knights and military personnel. For the first time in English history, William claimed eventual control of virtually all the land in England and asserted the right to dispose of it as he deemed necessary. Henceforth, all land was owned by the King. At the initial stages, King William appropriated the lands of all English lords who were killed during war and fiefed them to his Norman soldiers and supporters. These initial approbations led to revolts, which resulted in more seizures which moved along unabated for five years after Battle of Hastings. Even after he managed to quell rebellions, William the Conqueror continued to exercise their domain and supremacy of Normans over the country. His influences was so extensive that if the event an England landlord died without any children, the King or his barons, could choose a heir for the dead man’s properties and successor from Normandy. He exercised control over properties by encouraging marriages to Normans, which resulted in the ultimate takeover of English aristocracy by Normans. The system enunciated by William has impacted even modern day property holdings in England. The land belongs to the Crown and no individual or private holdings may be enforceable. Even

Economic Effects of Water Pollution Essay Example | Topics and Well Written Essays - 2750 words

Economic Effects of Water Pollution - Essay Example In modern times, organic pollution has been on an upward trend to the environment and this is heavy because of the growing population the world is witnessing. One will find in a developed city, that there are so many people that the environment sewerage plants and sewerage plants are not able to take in all the waste and at the same time, function in its usual way. The excess waste becomes food for the algae and this increases their growth rate and thus depletes oxygen in the water. In order to combat diseases and combat the extinction of plant and animal life, which play a big part in the economy, water pollution should be put under control. It has been estimated that it is the lead cause of deaths and diseases in the world. To control water pollution steps need to be taken like the treatment of domestic sewage, which apparently contains 99.9% of pure water, industrial wastewater treatment, done through pollution prevention process, agricultural wastewater treatment through point and non-point source control system and many other ways. This proposal aims at looking at the various ways that can be used to prevent water pollution and to establish the ways that are most efficient and economically viable. This will be done by clearly looking at all the methods that can be used to prevent water pollution and their workability. ... point source pollution and the non-point source pollution, the causes i.e. pathogens, chemical and other contaminants, thermal pollution and also to look into details the different methods that are used to reduce or eliminate water pollution i.e. domestic sewage, industrial wastewater, agricultural wastewater, construction site stormwater, urban runoff (Parks, 2007). During the summer of 1971, at a filtration plant in Chicago south, the filters were blocked with a lot of algae that they had to be removed by hand. The water tasted and smelled like dead fish and this led to the addition of a lot more chlorine in order for the water to be drinkable.

Weather Forecasting with Digital Signals

Weather Forecasting with Digital Signals INTRODUCTION: Digital signal processing (DSP) is concerned with the representation of the signals by a sequence of numbers or symbols and the processing of these signals. Digital signal processing and analog signal processing are subfields of signal processing. The analog waveform is sliced into equal segments and the waveform amplitude is measured in the middle of each segment. The collection of measurements makes up the digital representation of the waveform. Converting a continuously changing waveform (analog) into a series of discrete levels (digital) Applications of DSP DSP technology is nowadays commonplace in such devices as mobile phones, multimedia computers, video recorders, CD players, hard disc drive controllers and modems, and will soon replace analog circuitry in TV sets and telephones. An important application of DSP is in signal compression and decompression. Signal compression is used in digital cellular phones to allow a greater number of calls to be handled simultaneously within each local cell. DSP signal compression technology allows people not only to talk to one another but also to see one another on their computer screens, using small video cameras mounted on the computer monitors, with only a conventional telephone line linking them together. In audio CD systems, DSP technology is used to perform complex error detection and correction on the raw data as it is read from the CD. some of the mathematical theory underlying DSP techniques, such as Fourier and Hilbert Transforms, digital filter design and signal compression, can be fairly complex, the numerical operations required actually to implement these techniques are very simple, consisting mainly of operations that could be done on a cheap four-function calculator. The architecture of a DSP chip is designed to carry out such operations incredibly fast, processing hundreds of millions of samples every second, to provide real-time performance: that is, the ability to process a signal live as it is sampled and then output the processed signal, for example to a loudspeaker or video display. All of the practical examples of DSP applications mentioned earlier, such as hard disc drives and mobile phones, demand real-time operation. Weather forecasting- is the science of making predictions about general and specific weather phenomenon for a given area based on observations of such weather related factors as atmospheric pressure, wind speed and direction, precipitation, cloud cover, temperature, humidity, frontal movements, etc. Meteorologists use several tools to help them forecast the weather for an area. These fall under two categories: tools for collecting data and tools for coordinating and interpreting data. Weather forecasting- is the science of making predictions about general and specific weather phenomenon for a given area based on observations of such weather related factors as atmospheric pressure, wind speed and direction, precipitation, cloud cover, temperature, humidity, frontal movements, etc. Meteorologists use several tools to help them forecast the weather for an area. These fall under two categories: tools for collecting data and tools for coordinating and interpreting data. In a typical weather-forecasting system, recently collected data are fed into a computer model in a process called assimilation. This ensures that the computer model holds the current weather conditions as accurately as possible before using it to predict how the weather may change over the next few days. Weather forecasting is an exact science of data collecting, but interpretation of the data collected can be difficult because of the chaotic nature of the factors that affect the weather. These factors can follow generally recognized trends, but meteorologists understand that many things can affect these trends. With the advent of computer models and satellite imagery, weather forecasting has improved greatly. Weather forecasting- is the science of making predictions about general and specific weather phenomenon for a given area based on observations of such weather related factors as atmospheric pressure, wind speed and direction, precipitation, cloud cover, temperature, humidity, frontal movements, etc. Meteorologists use several tools to help them forecast the weather for an area. These fall under two categories: tools for collecting data and tools for coordinating and interpreting data. * Tools for collecting data include instruments such as thermometers, barometers, hygrometers, rain gauges, anemometers, wind socks and vanes, Doppler radar and satellite imagery (such as the GOES weather satellite). * Tools for coordinating and interpreting data include weather maps and computer models. In a typical weather-forecasting system, recently collected data are fed into a computer model in a process called assimilation. This ensures that the computer model holds the current weather conditions as accurately as possible before using it to predict how the weather may change over the next few days. Weather forecasting is an exact science of data collecting, but interpretation of the data collected can be difficult because of the chaotic nature of the factors that affect the weather. These factors can follow generally recognized trends, but meteorologists understand that many things can affect these trends. With the advent of computer models and satellite imagery, weather forecasting has improved greatly. Since lives and livelihoods depend on accurate weather forecasting, these improvements have helped not only the understanding of weather, but how it affects living and non living things on Earth. Weather forecasting is the science of making predictions about general and specific weather phenomena for a given area based on observations of such weather related factors as atmospheric pressure, wind speed and direction, precipitation, cloud cover, temperature, humidity, frontal movements, etc. Meteorologists use several tools to help them forecast the weather for an area. These fall under two categories: tools for collecting data and tools for coordinating and interpreting data. Tools for collecting data include instruments such as thermometers, barometers, hygrometers, rain gauges, anemometers, wind socks and vanes, Doppler radar and satellite imagery (such as the GOES weather satellite). Tools for coordinating and interpreting data include weather maps and computer models. In a typical weather-forecasting system, recently collected data are fed into a computer model in a process called assimilation. This ensures that the computer model holds the current weather conditions as accurately as possible before using it to predict how the weather may change over the next few days. Weather forecasting is an exact science of data collecting, but interpretation of the data collected can be difficult because of the chaotic nature of the factors that affect the weather. These factors can follow generally recognized trends, but meteorologists understand that many things can affect these trends. With the advent of computer models and satellite imagery, weather forecasting has improved greatly. Since lives and livelihoods depend on accurate weather forecasting, these improvements have helped not only the understanding of weather, but how it affects living and nonliving things on Earth. Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time and a given location. Human beings have attempted to predict the weather informally for millennia, and formally since at least the nineteenth century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere and using scientific understanding of atmospheric processes to project how the atmosphere will evolve. Once an all-human endeavor based mainly upon changes in barometric pressure, current weather conditions, and sky condition, forecast models are now used to determine future conditions. Human input is still required to pick the best possible forecast model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases. The chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, error involved in measuring the initial conditions, and an incomplete understanding of atmospheric processes mean that forecasts become less accurate as the difference in current time and the time for which the forecast is being made (the range of the forecast) increases. The use of ensembles and model consensus help narrow the error and pick the most likely outcome. There are a variety of end uses to weather forecasts. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation are important to agriculture, and therefore to traders within commodity markets. Temperature forecasts are used by utility companies to estimate demand over coming days. On an everyday basis, people use weather forecasts to determine what to wear on a given day. Since outdoor activities are severely curtailed by heavy rain, snow and the wind chill, forecasts can be used to plan activities around these events, and to plan ahead and survive them. History of weather control If we dispense with legends, at least Native American Indians had methods which they believed to induce rain. The Finnish people, on the other hand, were believed by others to be able to control all weather. Thus Vikings refused to take Finns on their raids by sea. Remnants of this belief lasted well into the modern age, with many ship crews being reluctant to accept Finnish sailors. The early modern era saw people observe that during battles the firing of cannons and other firearms often precipitated precipitation. The first example of weather control which is still considered workable is probably the lightning conductor. For millennia people have tried to forecast the weather. In 650 BC, the Babylonians predicted the weather from cloud patterns as well as astrology. In about 340 BC, Aristotle described weather patterns in Meteorologica. Later, Theophrastus compiled a book on weather forecasting, called the Book of Signs. Chinese weather prediction lore extends at least as far back as 300 BC. In 904 AD, Ibn Wahshiyyas Nabatean Agriculture discussed the weather forecasting of atmospheric changes and signs from the planetary astral alterations; signs of rain based on observation of the lunar phases; and weather forecasts based on the movement of winds. Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if the sunset was particularly red, the following day often brought fair weather. This experience accumulated over the generations to produce weather lore. However, not all of these predictions prove reliable, and many of them have since been found not to stand up to rigorous statistical testing. It was not until the invention of the electric telegraph in 1835 that the modern age of weather forecasting began. Before this time, it had not been possible to transport information about the current state of the weather any faster than a steam train. The telegraph allowed reports of weather conditions from a wide area to be received almost instantaneously by the late 1840s. This allowed forecasts to be made by knowing what the weather conditions were like further upwind. The two men most credited with the birth of forecasting as a scienc e were Francis Beaufort (remembered chiefly for the Beaufort scale) and his protà ©gà © Robert FitzRoy (developer of the Fitzroy barometer). Both were influential men in British naval and governmental circles, and though ridiculed in the press at the time, their work gained scientific credence, was accepted by the Royal Navy, and formed the basis for all of todays weather forecasting knowledge. To convey information accurately, it became necessary to have a standard vocabulary describing clouds; this was achieved by means of a series of classifications and, in the 1890s, by pictorial cloud atlases. Great progress was made in the science of meteorology during the 20th century. The possibility of numerical weather prediction was proposed by Lewis Fry Richardson in 1922, though computers did not exist to complete the vast number of calculations required to produce a forecast before the event had occurred. Practical use of numerical weather prediction began in 1955, spurred by the development of programmable electronic computers. * Modern aspirations There are two factors which make weather control extremely difficult if not fundamentally intractable. The first one is the immense quantity of energy contained in the atmosphere. The second is its turbulence. Effective cloud seeding to produce rain has always been some 50 years away. People do utilize even the most expensive and experimental types of it, but more in hope than confidence. Another even more speculative and expensive technique that has been semiseriously discussed is the dissipation of hurricanes by exploding a nuclear bomb in the eye of the storm. It is questionable that it will ever even be tried, because if it failed, the result would be a hurricane bearing radioactive fallout along with the destructive power of its winds and rain. * Modern day weather forecasting system Components of a modern weather forecasting system include: Data collection Data assimilation Numerical weather prediction Model output post-processing Forecast presentation to end-user * Data collection Observations of atmospheric pressure, temperature, wind speed, wind direction, humidity, precipitation are made near the earths surface by trained observers, automatic weather stations or buoys. The World Meteorological Organization acts to standardize the instrumentation, observing practices and timing of these observations worldwide. Stations either report hourly in METAR reports, or every six hours in SYNOP reports. Diurnal (daily) rhythm of air pressure in northern Germany (black curve is air pressure) Atmospheric pressure is the pressure at any point in the Earths atmosphere. For other uses, see Temperature (disambiguation). An AWS in Antarctica An automatic weather station (AWS) is an automated version of the traditional weather station, either to save human labour or to enable measurements from remote areas. Weather buoys are instruments which collect weather and ocean data within the worlds oceans. WMO flag The World Meteorological Organization (WMO, French: , OMM) is an intergovernmental organization with a membership of 188 Member States and Territories. METAR (for METeorological Aerodrome Report) is a format for reporting weather information. SYNOP (surface synoptic observations) is a numerical code (called FM-12 by WMO) used for reporting marine weather observations made by manned and automated weather stations. Measurements of temperature, humidity and wind above the surface are found by launching radiosondes (weather balloon). Data are usually obtained from near the surface to the middle of the stratosphere, about 30,000 m (100,000 ft). In recent years, data transmitted from commercial airplanes through the AMDAR system has also been incorporated into upper air observation, primarily in numerical models. radiosonde with measuring instruments A radiosonde (Sonde is German for probe) is a unit for use in weather balloons that measures various atmospheric parameters and transmits them to a fixed receiver. Rawinsonde weather balloon just after launch. Atmosphere diagram showing stratosphere. Aircraft Meteorological Data Relay (AMDAR) is a program initiated by the World Meteorological Organization. Increasingly, data from weather satellites are being used due to their (almost) global coverage. Although their visible light images are very useful for forecasters to see development of clouds, little of this information can be used by numerical weather prediction models. The infra-red (IR) data however can be used as it gives information on the temperature at the surface and cloud tops. Individual clouds can also be tracked from one time to the next to provide information on wind direction and strength at the clouds steering level. Polar orbiting satellites provide soundings of temperature and moisture throughout the depth of the atmosphere. Compared with similar data from radiosondes, the satellite data has the advantage that coverage is global, however the accuracy and resolution is not as good. A weather satellite is a type of artificial satellite that is primarily used to monitor the weather and/or climate of the Earth. Sounding The historical nautical term for measuring dept h. Meteorological radar provide information on precipitation location and intensity.. Additionally, if a Pulse Doppler weather radar is used then wind speed and direction can be determined.. * Data assimilation Data assimilation (DA) is a method used in the weather forecasting process in which observations of the current (and possibly, past) weather are combined with a previous forecast for that time to produce the meteorological `analysis; the best estimate of the current state of the atmosphere. Weatherman redirects here. Modern weather predictions aid in timely evacuations and potentially save lives and property damage. More generally, Data assimilation is a method to use observations in the forecasting process. In weather forecasting there are 2 main types of data assimilation: 3 dimensional (3DDA) and 4 dimensional (4DDA). In 3DDA only those observations are used available at the time of analyses. In 4DDA the past observations are included (thus, time dimension added). The first data assimilation methods were called the objective analyses (e.g., Cressman algorithm). This was in contrast to the subjective analyses, when (in the past practice) numerical weather predictions (NWP) forecasts were arbitrarily corrected by meteorologists. The objective methods used simple interpolation approaches, and thus were the kind of 3DDA methods. The similar 4DDA methods, called nudging also exist (e.g. in MM5 NWP model). They are based on the simple idea of Newtonian relaxation. The idea is to add in the right part of dynamical equations of the model the term, proportional to the difference of the calculated meteorological variable and the observation value. This term, that has a negative sign keeps the calculated state vector closer to the observations. The first breakdown in the field of data assimilation was introducing by L.Gandin (1963) with the statistical interpolation (or optimal interpolation ) method. It developed the previous ideas of Kolmogorov. That method is the 3DDA method and is the kind of regression analyses, which utilizes the information about the spatial distributions of covariance functions of the errors of the first guess field (previous forecast) and true field. These functions are never known. However, the different approximations were assumed. In fact optimal interpolation algorithm is the reduced version of the Kalman filtering (KF) algorithm, when the covariance matrices are not calculated from the dynamical equations, but are pre-determined in advance. The Kalman filter (named after its inventor, Rudolf Kalman) is an efficient recursive computational solution for tracking a time-dependent state vector with noisy equations of motion in real time by the least-squares method. When this was recognised the attempts to introduce the KF algorithms as a 4DDA tool for NWP models were done. However, this was (and remains) a very difficult task, since the full version of KF algorithm requires solution of the enormous large number of additional equations. In connection with that the special kind of KF algorithms (suboptimal) for NWP models were developed. Another significant advance in the development of the 4DDA methods was utilizing the optimal control theory (variational approach) in the works of Le Dimet and Talagrand, 1986, based on the previous works of G. Marchuk. The significant advantage of the variational approaches is that the meteorological fields satisfy the dynamical equations of the NWP model and at the same time they minimize the functional, characterizing their difference from observations. Thus, the problem of constrained minimization is solved. The 3DDA variational methods also exist (e.g., Sasaki, 1958). Optimal control theory is a mathematical field that is concerned with control policies that can be deduced using optimization algorithms. As it was shown by Lorenc, 1986, the all abovementioned kinds of 4DDA methods are in some limit equivalent. I.e., under some assumptions they minimize the same cost functional. However, these assumptions never fulfill. The rapid development of the various data assimilation methods for NWP is connected to the two main points in the field of numerical weather prediction: 1. Utilizing the observations currently seems to be the most promicing challange to improve the quality of the forecasts at the different scales (from the planetary scale to the local city, or even street scale) 2. The number of different kinds of observations (sodars, radars, sattelite) is rapidly growing. The DA methods are currently used not also in weather forecasting, but in different environmental forecasting problems, e.g. in hydrological forecasting. Basically the same types of DA methods, as those, described above are in use there. Data assimilation is the challange for the every forecasting problem. Numerical weather prediction Numerical weather prediction is the science of predicting the weather using mathematical models of the atmosphere. Manipulating the huge datasets and performing the complex calculations necessary to do this on a resolution fine enough to make the results useful can require some of the most powerful supercomputers in the world. Image File history File links NAM_500_MB.PNGà ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ½ File links The following pages on the English Wikipedia link to this file (pages on other projects are not listed): Numerical weather prediction Block (meteorology) Image File history File links NAM_500_MB.PNGà ¢Ãƒ ¢Ã¢â‚¬Å¡Ã‚ ¬Ãƒâ€¦Ã‚ ½ File links The following pages on the English Wikipedia link to this file (pages on other projects are not listed): Numerical weather prediction Block (meteorology) A millibar (mbar, also mb) is 1/1000th of a bar, a unit for measurement of pressure. Geopotential height is a vertical coordinate referenced to Earths mean sea level an adjustment to geomet ric height (elevation above mean sea level) using the variation of gravity with latitude and elevation. Weather is a term that encompasses phenomena in the atmosphere of a planet. A mathematical model is an abstract model that uses mathematical language to describe the behaviour of a system. A supercomputer is a computer that leads the world in terms of processing capacity, particularly speed of calculation, at the time of its introduction. An example of 500 mbar geopotential height prediction from a numerical weather prediction model Model output post processing The raw output is often modified before being presented as the forecast. This can be in the form of statistical techniques to remove known biases in the model, or of adjustment to take into account consensus among other numerical weather forecasts. For other senses of this word, see bias (disambiguation). In the past, the human forecaster used to be responsible for generating the entire weather forecast from the observations. However today, for forecasts beyond 24hrs human input is generally confined to post-processing of model data to add value to the forecast. Humans are required to interpret the model data into weather forecasts that are understandable to the end user. Additionally, humans can use knowledge of local effects which may be too small in size to be resolved by the model to add information to the forecast. However, the increasing accuracy of forecast models continues to decrease the need for post-processing and human input. Examples of weather model data can be found on Vigilant Weathers Model Pulse. Presentation of weather forecasts The final stage in the forecasting process is perhaps the most important. Knowledge of what the end user needs from a weather forecast must be taken into account to present the information in a useful and understandable way. * Public information One of the main end users of a forecast is the general public. Thunderstorms can cause strong winds, dangerous lightning strikes leading to power outages, and widespread hail damage. Heavy snow or rain can bring transportation and commerce to a stand-still, as well as cause flooding in low-lying areas. Excessive heat or cold waves can kill or sicken those without adequate utilities. The National Weather Service provides forecasts and watches/warnings/advisories for all areas of the United States to protect life and property and maintain commercial interests. Traditionally, television and radio weather presenters have been the main method of informing the public, however increasingly the internet is being used due to the vast amount of information that can be found. * Air traffic The aviation industry is especially sensitive to the weather. Fog and/or exceptionally low ceilings can prevent many aircraft landing and taking off. Similarly, turbulence and icing can be hazards whilst in flight. Thunderstorms are a problem for all aircraft, due to severe turbulence and icing, as well as large hail , strong winds, and lightning , all of which can cause fatal damage to an aircraft in flight. On a day to day basis airliners are routed to take advantage of the jet stream tailwind to improve fuel efficiency. Air crews are briefed prior to take off on the conditions to expect en route and at their destination. * Utility companies Electricity companies rely on weather forecasts to anticipate demand which can be strongly affected by the weather. In winter, severe cold weather can cause a surge in demand as people turn up their heating. Similarly, in summer a surge in demand can be linked with the increased use of air conditioning systems in hot weather. * Private sector Increasingly, private companies pay for weather forecasts tailored to their needs so that they can increase their profits. For example, supermarket chains may change the stocks on their shelves in anticipation of different consumer spending habits in different weather conditions. a) =Ensemble forecasting= Although a forecast model will predict realistic looking weather features evolving realistically into the distant future, the errors in a forecast will inevitably grow with time due to the chaotic nature of the atmosphere. The detail that can be given in a forecast therefore decreases with time as these errors increase. There becomes a point when the errors are so large that the forecast is completely wrong and the forecasted atmospheric state has no correlation with the actual state of the atmosphere. However, looking at a single forecast gives no indication of how likely that forecast is to be correct. Ensemble forecasting uses lots of forecasts produced to reflect the uncertainty in the initial state of the atmosphere (due to errors in the observations and insufficient sampling). The uncertainty in the forecast can then be assessed by the range of different forecasts produced. They have been shown to be better at detecting the possibility of extreme events at long range. Ensemble forecasts are increasingly being used for operational weather forecasting (for example at ECMWF , NCEP , and the Canadian forecasting center). b) =Nowcasting= The forecasting of the weather in the 0-6 hour timeframe is often referred to as nowcasting . It is in this range that the human forecaster still has an advantage over computer NWP models. In this time range it is possible to forecast smaller features such as individual shower clouds with reasonable accuracy, however these are often too small to be resolved by a computer model. A human given the latest radar, satellite and observational data will be able to make a better analysis of the small scale features present and so will be able to make a more accurate forecast for the following few hours. Signal Processing Generating imagery for forecasting terror threats Intelligence analysts and military planners need predictions about likely terrorist targets in order to better plan the deployment of security forces and sensing equipment. We have addressed this need using Gaussian-based forecasting and uncertainty modeling. Our approach excels at indicating the highest threats expected for each point along a travel path and for a global war on terrorism mission. It also excels at identifying the greatest-likelihood collection areas that would be used to observe a target. 1 on geospatial analysis and asymmetric-threat forecasting in the urban environment. He showed how to extract distinct signatures from associations made between historical event information and contextual information sources such as geospatial and temporal political databases. We have augmented this to include uncertainty estimates associated with historical events and geospatial information layers.2 Event Forecasting Spatial Preferences The notion of spatial preferences has been used to find potential crime1 and threat3 hot spots. The premise is that a terrorist or criminal is directed toward a certain location by a set of qualities, such as geospatial features, demographic and economic information, and recent political events. Focusing on geospatial information, we assume the intended target is associated with features a small distance from the event location. We assign the highest likelihoods to the distances between each key feature and the event, and taper them away from these distances. This behavior is modeled using a kernel function centered at each of these distances. For a Gaussian kernel applied to a discretized map, the probability density function à Ã‚  for a given grid cell g and uncertainty estimates u is given by Dig is the distance from feature i to the grid cell, Din is the distance from the feature to event location n, c is a constant, ÃŽÂ ¦E and ÃŽÂ ¦F are the position uncertainty for event and features respectively, I is the total number of features, and N is the total number of events. Figure 1(a) shows a sample forecast image based on this approach, denoting threat level with colors ranging from blue for lowest threat, through red for highest threat. For the same set of features and events, Figure 1(b) shows a more manageable forecast-in terms of allocating security resources-determined by aggregating feature layers prior to generating the likelihood values. Modeling Uncertainty One of the most important aspects of forecasting is having an estimate of the confidence in the supporting numerical values. In numerical weather prediction, there is always a value of confidence assigned with each forecast. For example, predicting an 80% chance of rain implies that numerical weather models given input parameter variations, predicted eight o

Analysis of Cancer - The Enemy Within Essay examples -- Exploratory Es

Cancer - The Enemy Within      Ã‚  Ã‚  Ã‚   Abstract: Cancer has been known and feared since antiquity, but its imperative danger could only be realized until fairly recently. Indeed as knowledge of the disease grew in the nineteenth and twentieth centuries, fear increased when people became more aware that most cancers had no available cure. Cancer is a disease in which abnormal cells reproduce without control, destroy healthy tissue, and eventually cause deterioration to the body. This paper is a discussion on how cancer develops and spreads, some of the various types of cancer, and the causes of the disease.    Cancer is a disease in which cells multiply without control, destroy healthy tissue, and endanger life. About 100 kinds of cancer attack human beings. This disease is a leading cause of death in many countries. In the United States and Canada, only diseases of the heart and the blood vessels kill more people. Cancer occurs in most species of animals and in many kinds of plants, as well as in human beings.    Cancer strikes people of all ages but especially middle-aged persons and the elderly. It occurs about equally among people of both sexes. The disease can attack any part of the body and may spread to virtually any other part. However the parts of the body which are most often affected are the skin, the female breasts, organs of the digestive, respiratory, reproductive, blood-forming, lymphatic, and urinary systems.    The various cancers are classified in two ways. The primary body site, as and by the type of body tissue in which the cancer originates. They can thus be divided further in to two main groups; carcinomas and sarcomas. Carcinomas are cancers that start in epitheli... ...r are fatal. In the past, the methods of treatment gave patients little hope for recovery, but the methods of diagnosing and treating the disease have improved greatly since the 1930's. Today, about half of all cancer patients survive at least five years after treatment. People who remain free of cancer that long after treatment have a good chance of remaining permanently free of the disease. But much research remains to be done to find methods of preventing and curing cancer.    Bibliography Allison, Trent. Background into Medicine. New York: Lincoln Press, 1982. Drummond, Phillip. Cancer. 1st ed. New York: Prentice Hall Publishers, 1984 Harris, Jules E.. "Cancer." Encyclopedia Britannica. 1993 ed. Sipp, Warren. Encyclopedia to Cancer. New York: National Academy Press,1989. Veels, Thomas. Science of Cancer. Washington DC, 1984.