Snowy Owl Facts

Snowy owls (Bubo scandiacus) are the heaviest owls in the United States. They are notable for their striking white plumage and their extreme northerly range which includes tundra habitat throughout Alaska, Canada, and Eurasia. While they are relatively rare, they are often spotted in winter when they hunt in windswept fields or dunes. Fast Facts: Snowy Owl Scientific Name: Bubo scandiacusCommon Names: Arctic owls, great white owls, white owls, Harfangs, American snowy owls, snowy owls, ghost owls, tundra ghosts, ookpiks, ermine owls, Scandinavian nightbirds, and highland tundra owlsBasic Animal Group:  BirdSize: Body: 20 to 28 inches; wingspan: 4.2 to 4.8 feetWeight: 3.5–6.5 poundsLifespan: 10 yearsDiet:  CarnivoreHabitat:  Northern United States, parts of Canada; migration takes them to parts of Europe and AsiaPopulation:  200,000Conservation  Status:  Vulnerable   Description The plumage of an adult male snowy owl is mostly white with few dark markings. Females and young owls have a sprinkling of darker feathers that form spots or bars over their wings, breast, upper parts and the back of their head. This speckling offers superb camouflage and enables juveniles and females to blend well with the summertime colors and textures of the tundras vegetation. During the nesting season, females are often are heavily soiled on their underside from sitting on the nest. Snowy owls have bright yellow eyes and a black bill. Vicki Jauron, Babylon and Beyond Photography / Getty Images Habitat and Distribution Snowy owls range from the western Aleutians in Alaska to northeastern Manitoba, northern Quebec, Labrador, and the northern United States. They are primarily tundra birds although they sometimes also inhabit grasslands. They venture into forests only on very rare occasions, if ever. During the winter, snowy owls often move southward. During their migration, they are sometimes seen along coastlines and lake shores. They sometimes stop at airports, possibly because they offer them the wide-open habitat they prefer. During the breeding season, which snowy owls spend in the Arctic, they nest on small rises in the tundra where the female carves out a scrape or shallow depression in the ground in which to lay her eggs. Snowy owls rely on prey populations that fluctuate significantly over time. As a result, snowy owls are nomadic birds and go wherever there are ample food resources at any particular time. During normal years, snowy owls remain in the northernmost parts of Alaska, Canada, and Eurasia. But in seasons when prey is not abundant in the northern stretches of their range, snowy owls move further southward. Occasionally, snowy owls move to regions that are farther south than their normal range. For example, during the years of 1945 through 1946, snow owls made a widespread, coast-to-coast incursion into the southern stretches of Canada and the northern parts of the United States. Then in 1966 and 1967, snowy owls moved deeply into the Pacific Northwest region. These incursions have coincided with cyclic declines in the lemming population. Diet During the breeding season, snowy owls survive on a diet that consists of lemmings and voles. In parts of their range where lemmings and voles are absent, such as the Shetland Islands, snowy owls feed on rabbits or chicks of wading birds. Behavior Unlike most owls, snowy owls are primarily diurnal birds, usually active during the day, from dawn to dusk. Sometimes snowy owls do hunt at night. It is important to remember that within their Arctic range, snowy owls experience long summer days and hunting at night simply isnt an option as there are few or no hours of darkness. The opposite is true in winter when day length shortens and hunting during daylight hours is reduced or eliminated as the sun remains below the horizon for long stretches of time. Outside the breeding season, snowy owls make very few vocalizations. During the breeding season, snowy owls are a bit more vocal. Males make a barking kre or krek-krek call. Females produce a loud whistling or mewling pyee-pyee or prek-prek sound. Snowy owls also produce a low-pitched hoot that carries through the air for long distances and can be heard as much as 10 kilometers away. Other sounds snowy owls make include hissing, bill snapping and a clapping sound believed to be created by clicking the tongue. Reproduction and Offspring Normally, snowy owls lay between five and eight eggs per clutch. But in good years when prey such as lemmings is abundant, they lay as many as 14 eggs per clutch. Female snowy owls lay their 2.2 inch long eggs at two-day intervals so that the young emerge from the egg at different times. Mud-brown hatchlings emerge from their eggs at about the size of a newly-hatched chicken. Hatchlings in the same nest are of differing ages, with some having hatched as much as two weeks apart. Snowy owl chicks weigh only about 45 grams at birth, but they grow rapidly, gaining about three grams each day. They mature over the course of two years, at which point they weigh approximately 4.5 pounds. Javier Piva Flos/Getty Images   Conservation Status There are approximately 200,000 snowy owls in North America. Despite conservation efforts, these unique owls are now considered to be a vulnerable species. While breeding areas are usually far away from human interference, climate change is impacting the snowy owls Arctic habitat; the number of these birds is on the decline. Relatives of the Horned Owl Until recently, snowy owls were the only member of the genus Nyctea but recent molecular studies showed snowy owls to be close relatives of the horned owls. As a result, taxonomists have moved snowy owls to the genus Bubo. Other members of the genus Bubo include the American horned owls and the Old World eagle-owls. Like other horned owls, snowy owls have ear tufts but they are small and usually kept tucked away. Sources â€Å"Basic Facts About Snowy Owls.†Ã‚  Defenders of Wildlife, 10 Jan. 2019, defenders.org/snowy-owl/basic-facts.â€Å"Snowy Owl.†Ã‚  Audubon, 21 Mar. 2019, www.audubon.org/field-guide/bird/snowy-owl.â€Å"Snowy Owl.†Ã‚  National Geographic, 24 Sept. 2018, www.nationalgeographic.com/animals/birds/s/snowy-owl/.

The True Story About Great Descriptive Essay Topics That the Experts Dont Want You to Know

The True Story About Great Descriptive Essay Topics That the Experts Don't Want You to Know Contemplating the simple fact, descriptive essay is an exceptional kind of a term paper, the structure also differs from the one that you are accustomed to. Your conclusion should be well written because it's the last issue to be read by your reader and will remain on their mind the longest after they've read the rest of your essay. The full nature of hers was prepared to scream from pain. It's important to get a very clear vision of your paper. Details of Great Descriptive Essay Topics If you would like to be more original and find some inspiration, you're on the appropriate path as we provide the very best descriptive essay topics. When you have settled on the essay topic, the next thing to do is to compose a descriptive essay. In fact, there are a lot of descriptive essay topics out there that it's rather hard to choose only one. Descriptive essay topics could be either easier or harder. It always includes creative writing, even if the topic seems to be dull and boring at first glance. Descriptive essays could be difficult if you don't have any clue what to write about. A descriptive essay is an essay that's bound to deliver some type of detailed info on a particular subject. Finding the Best Great Descriptive Essay Topics Writing descriptive essay students need to be more personal and use their imagination to the complete extent. It is a gift that comes naturally. Preparing a satire essay is just one of the most difficult ones as it should be something like a literary bit of writing. Writing a descriptive essay is a significant undertaking to achieve. Overall, descriptive essays are personal, and they don't need in-depth research such as other academic or scientific papers. Like every assignment, a descriptive essay has a particular purpose. It is a type of essay that states an aim to describe som ething. Most descriptive essays are simple to write because they're usually personal and don't need much studying to write. Descriptive essays should provide the reader that exact feeling, even though the sensory attachment could differ. The should evoke emotions is almost always a tough one because humans are subject to so many diverse idiosyncrasies. A personality you want to resemble. Well if you would like to compose a descriptive essay you are going to have to research a bit about the Great Wall of China before you start. Choose which to begin with. Making an outline is essential if you would like to create a great work. Facts, Fiction and Great Descriptive Essay Topics There are scores and scores of descriptive essay topics for college students, so it could be quite hard to pick the one that will be appropriate for your requirements and interests. At the close of the day, the essay topics you pick can make an enormous influence on your final grade. Students have t o be in a position to describe their environment properly, which is exactly why researching topics for a descriptive essay will bring them on the correct track to appraise their learning procedure. Students in high school and college are anticipated to demonstrate a high degree of creativity and to go deeper in the topic they've chosen. Your essay should be structured in a fashion that helps your topic to earn sense. While writing such sort of essay do not neglect to stick to the rules of structure and content. If you're describing an event, you'll need to compose your paragraphs in chronological purchase. Each point ought to be in its own paragraph and needs to be mentioned in the very first sentence or what's often known as the topic sentence. The Death of Great Descriptive Essay Topics Descriptive thesis is a sort of writing where a student should find out more about the topic so well. College application essay topics are a vital portion of an entertaining and compelling bit of writing. So far as the students are involved, writing a research paper is among the toughest and frustrating job in their opinion. Some students spend hours brainstorming ideas about how to begin. The Basics of Great Descriptive Essay Topics It is preferable to devote some opportunity to discover and work on a topic that reflects an intriguing matter. The 1st one is going to be the collection of a topic. For instance, you can select a topic for elementary, middle, or higher school. You can not ever be too thorough when it has to do with reading the essay over again and checking for any locations that ought to be reworked. The absolute most difficult homework assignment that you've been given 48. Deciding upon the most suitable topic may be a true problem, but we are here in order to get you inspired. Luckily, you've come to the proper place to discover the greatest remedy to every single academic writing problem that you're currently facing with your essay.

Security Ethical Implications Data Mining †Myassignmenthelp.Com

Question: Discuss About The Security Ethical Implications Data Mining? Answer: Introduction: Data mining is a process where patterns in large data sets are discovered by using methods of database management system, machine language and statistics. It is a sub section of computer science where the intended goal is the extraction of information from a given data set and transforming it to a simple language intended for future use. Data mining is the next step of analysis of the discovery of knowledge in database process. This report consists of the reason for requirements of data mining in business along with a recent example to support the reason. This report also includes the security, ethical and privacy problems of adopting data mining and some examples to support the statements. Discussion: Data mining in business: Data mining is a new and very powerful tool with a potential to help companies or business organizations aim towards the most important aspect about customer behavior and behavior of new clients. Data mining is a type of discovery of knowledge, which is a computer-operated process, which involves searching of large data sets and finding of patterns and meaning in those data sets (Larose, 2014). The tools used in data mining processes is used to predict the behaviors and trends in future which helps the company or business organizations involved to make good decisions. Companies or business organizations in almost every industries including finance, health, retail and production. By analyzing the data sets by pattern recognition technology and mathematical/statistical tools, data mining helps in identifying facts, relations or patterns. The detailed uses of data mining includes market segmentation which consists of characteristics of the customers, customer churn which depicts the loyalty of the customer, fraud detection which shows the likeliness of fraud transactions. It also includes direct marketing that allows the highest conversion rates in the market, interactive marketing, which depicts the interests of users accessing a website (Shmueli Lichtendahl 2017). In addition, market basket analyzing helps the companies or business organizations to understand the likeliness of products to be purchased together and trend analysis, which shows the difference in behavior in customers over a one-month gap. Data mining in business involves technologies that help to provide historical, current and predictable strategies that could be implied in the business. The common functions of data mining in business operation include online analytics, reporting, process mining, event processing, performance management, text mining and predictive analysis (Provost Fawcett, 2013). Data mining can help the decision makers in a company or business organization to make successful actions based on the information that is provided. It can also help the authorities to get information on competitor marketing, condition of the market or behavior of the consumers. Recent news article about data mining: According to chicagotribune.com, a recent news article was published in 2013, which showed collaboration between technical firms in Chicago with the venture capital of CIA ("CIA venture arm invests in Chicago-based maker of artificial intelligence technology", 2017). Stuart Frankel, the CEO of the startup claims to be very pleased with the portfolio and hopes that this will contribute to a market expansion of the firm. The name of the tech firm is Narrative Science in Chicago. For this collaboration, Narrative Science proposed the development of Quill, which is a technology that will help the intelligence agency identify large data sets like video surveillances, financial transaction and social media coverage. The intelligence algorithm of Quill will help to analyze enormous amounts of data and provide data based in English. The program can produce many types of formats, which ranges from tweets to business reports. The associated clients of Narrative Science include many industries like marketing or financial services. The news article also provides funny information about CIA Director David Petraeus saying that the technology provided by them is much greater than the technologies seen in most films (Goldman, 2015). In addition, they also have confirmed that the technology of removing finger prints or eyeball images are not present but are supposed to be under development. The link for this news article is - https://articles.chicagotribune.com/2013-06-06/business/ct-biz-0606-narrative-science-20130606_1_intelligence-community-in-q-tel-technology Implications: Data mining is used to get interesting patterns in data sets. The increasing implementation of data mining in nearly every companies or organizations has created enthusiasm for widespread adoption but on the same time, it has also increased risks and pressures of data information acquisition. Data mining has shown great results in cases of biomedical research and health. The early detection of epidemic outbreaks, detection of genomes or patterns of side effects by drug ingestion is the areas where data mining in big data has shown success ("Big Data, Human Rights and the Ethics of Scientific Research Opinion ABC Religion amp; Ethics (Australian Broadcasting Corporation)", 2017). However, the Snowden revelations, has shown that how the use of big data and data mining led to database hack and other cyber-crime which eventually led to undermining of trust, privacy, liberty and democracy. Privacy has become too complex due to the evolvement of data mining. Originally, data mining provided users to access information but with modernization, the impact has greatly increased (Xu et al., 2014). This gathering of personal information has caused the rise of many concerns in privacy. For example, data mining process can be used to get information of individuals like number, address, social security id, drivers license or e-mail. This has posed a great concern for aggregation of personal information of these individuals and segregation of these data to create user profiles, which can be used in both the government and commercial sectors. Security is another part where data mining is used. The information of individuals, which can provide security implication, is analyzed beforehand. Data mining also checks individuals with criminal activities to get insights and patterns of their work in criminal activities. It can also check whether dangerous terrorists are involved with any particular patterns of crime. Since, prediction of these activities are provided by data mining officials, careful requirements and analysis of the details is required before taking necessary procedure against an individual because it may happen that sometimes the data that is accrued might not have any link with the undertaken investigation. Ethics is considered good if there is reason involved but also an obligation if pursuing of information is required. For example, health care scientists who are engaged with big data are not considered for their self-interest research in terms of money or fame but by the acquisition of public materials, which is supposed to benefit people (Yoo et al., 2012). However, the use of these goods depends on the ethics implied. The right to privacy in the Universal Declaration of Human Rights is very unfamiliar with high potential (Turner, 2014). The right tells people to imply their rights of acting in any scientific inquiries and to benefit from them. The right to science allows favors participation of citizens in scientific works. In modern times, the development in technologies caused an increase in the number of citizens exercising their rights of participation in scientific works. In health records, sometimes people demand their rights to check for information from newly made surveys or equipments. These rights to science and privacy are international rights but are also given force by domestic or regional authorities. Significance in business: The collection of information by the use of data mining process has made the uses of it legit as well as prone to abuses ("Big data security problems threaten consumers' privacy", 2017). For example, if the use of prediction can be applied to know the condition of the weather at a future time, the more use of it will take place and this will invite security or privacy threats. Due to the number of people affected in by breaches in the system, it is becoming a great concern for data mining analysts. In 2014, the breach of Arkansas University system led affected 50,000 people. In that same year, information of 145 million people was breached from eBay. This has led to rethinking of implication of privacy and security to deal with the problems. For buyers and consumers, the requirement of increased security in terms and conditions, agreements and trust seals are required to be collected from the companies or organizations that are involved in the collection of big data. The requirement for more security measures like encryptions, detections of illegal access and corporate methods are being taken up in the companies or organizations involved which will promote the security and tighten the relationship with the consumers. The requirements for increased revenue are an important goal that is present in every business organization or companies. The need to deliver targeted advertising is achieved by tracking the moves and preferences of the customers involved by the use of data mining and big data. For example, the Personality Insights software of IBM helps to build a profile of an individual, which is based on their online activities (Junior Inkpen, 2017). These activities are told as advantages to the customers who will help them to see valuable results but this is only useful to the company or organization involved. For example, the insurance companies target users based on these data personalities. These concerns must be addressed as the power of data mining can be used to detect fraudulent activities and can provide many advantages (Provost Fawcett, 2013). The key to achieve the power of data mining is transparency of these processes while providing security and privacy concerns. The data handlers must provide valuable reasons of what data they are collecting and analyzing and they reason behind that. People are also needed to be educated about the storage and collection of these data and companies must give satisfactory explanations about the protection they provide to safeguard them which helps in building trust. Conclusion: Thus, it can be concluded from the report that there are vast uses of implementing data mining in business. Its implementation helps the business organizations or companies to get successful insights regarding customer behavior or market analysis. However, the risk it poses is very much and it is the responsibility of the involved organization or business to gather the necessary requirements to provide security in terms of privacy, security and ethics. This way the company can improve their relationship with the customers and can stay in business for a long period. References: Big data security problems threaten consumers' privacy. (2017).The Conversation. Retrieved 9 August 2017, from https://theconversation.com/big-data-security-problems-threaten-consumers-privacy-54798 Big Data, Human Rights and the Ethics of Scientific Research Opinion ABC Religion amp; Ethics (Australian Broadcasting Corporation). (2017).Abc.net.au. Retrieved 9 August 2017, from https://www.abc.net.au/religion/articles/2016/11/30/4584324.htm CIA venture arm invests in Chicago-based maker of artificial intelligence technology. (2017).tribunedigital-chicagotribune. Retrieved 9 August 2017, from https://articles.chicagotribune.com/2013-06-06/business/ct-biz-0606-narrative-science-20130606_1_intelligence-community-in-q-tel-technology Goldman, J. (Ed.). (2015).The Central Intelligence Agency: An Encyclopedia of Covert Ops, Intelligence Gathering, and Spies [2 volumes]: An Encyclopedia of Covert Ops, Intelligence Gathering, and Spies. ABC-CLIO. Junior, R. A. P., Inkpen, D. (2017, May). Using Cognitive Computing to Get Insights on Personality Traits from Twitter Messages. InCanadian Conference on Artificial Intelligence(pp. 278-283). Springer, Cham. Larose, D. T. (2014).Discovering knowledge in data: an introduction to data mining. John Wiley Sons. Provost, F., Fawcett, T. (2013).Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc.". Provost, F., Fawcett, T. (2013).Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc.". Shmueli, G., Lichtendahl Jr, K. C. (2017).Data Mining for Business Analytics: Concepts, Techniques, and Applications in R. John Wiley Sons. Turner, B. (2014). Universal Declaration of Human Rights.The Statesmans Yearbook: The Politics, Cultures and Economies of the World 2015, 8-10. Xu, L., Jiang, C., Wang, J., Yuan, J., Ren, Y. (2014). Information security in big data: privacy and data mining.IEEE Access,2, 1149-1176. Yoo, I., Alafaireet, P., Marinov, M., Pena-Hernandez, K., Gopidi, R., Chang, J. F., Hua, L. (2012). Data mining in healthcare and biomedicine: a survey of the literature.Journal of medical systems,36(4), 2431-2448.

Auden funeral blues free essay sample

The poem funeral blues is written by W.H. Auden in 1936 and its main themes are time, death and love. The lyrical I in this poem is a love one left behind, who describes the funeral of a man, the feeling involved and the future ahead. The poem is metrical since it has 4 stanzas with 4 lines each, the poem has end rhymes in every 2 lines, and the first and third line in every stanza contain the same amount of syllables same goes for the second and fourth line. Throughout the poem there are many alliterations such as scribbling on the sky, my working week, my moon, my midnight, my talk, my song, I thought that love would last, was wrong, for nothing now can ever come, which contributes to the flow of the poem making it easier to read and remember. The first 3 lines in the third stanza of the poem are extended metaphors for the deceased used to describe how much he meant and how he was everything. We will write a custom essay sample on Auden funeral blues or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Auden makes use of personification where he has the aero planes mourning and scribbling, and he makes use of plenty of symbols, the doves and policemen, to show that the funeral of this man is a big deal. The semantics fields in the last stanza is very universal with sun, moon, stars and ocean, It describe the end of existence, the destruction of the lyrical I’s universe and how nothing will ever be as it was. The first two stanzas and the fourth are filled with verbs which emphasize action, they describe live events whereas the third stanza describes the lyrical I own feelings and is filled with nouns making it more static. I believe the idea and message of the poem is to show the impact when a love one dies, you feel like the world cannot go on, the lyrical I tries to stop time and communication in the first 2 lines of the poem, but in vain, life goes on, the second stanzas show how people around you will try and show their respect and comfort, but nothing can ever come to any good, the lyrical I thought love would last forever but must now realize that without love there is only nothingness. The poem shows the abandonment of Victorianism into Modernism it has a much more modern approach, it makes use of plenty of modernistic techniques. We see the Auden experiment with new conceit by comparing the deceased with North, West, East and south, which is typical Modernism. He tries to reflect the complexity of the twentieth century through his lines. What really tells me that this poem is Modernism is how it is written in a stream of consciousness which is very typical Modernism,  it is written as if the poet just sat down and wrote his thoughts.

Meaning and Uses of Decompilation

Meaning and Uses of Decompilation Simply speaking, decompilation is the inverse of compilation: translating an executable file into a higher level language. Suppose you lose your Delphi projects source and you only have the executable file: reverse engineering (decompilation) is useful if the original sources are not available. Hm, sources not available, does this mean that we can decompile other peoples Delphi projects? Well, yes and no... Is True Decompilation Possible? No, of course not. Fully automated decompilation is not possible - no decompiler could exactly reproduce the original source code. When a Delphi project is compiled and linked to produce a standalone executable file, most of the names used in the program are converted to addresses. This loss of names means that a decompiler would have to create unique names for all the constants, variables, functions, and procedures. Even if a certain degree of success is achieved, the generated source code lacks meaningful variable and function names.Obviously, source language syntax no longer exists in the executable. It would be very difficult for a decompiler to interpret the series of machine language instructions (ASM) that exist in an executable file and decide what the original source instruction was. Why and When to Use Decompilation Reverse engineering can be used for a several reasons, some of which are: Recovery of lost source codeMigration of applications to a new hardware platformDetermination of the existence of viruses or malicious code in the programError correction when the owner of the application is not available to make the correction.Recovery of someone elses source code (to determine an algorithm for example). Is This Legal? Reverse engineering is NOT cracking, although it is sometimes difficult to draw the fine line between those two. Computer programs are protected by copyright and trademark laws. Different countries have different exceptions to the copyright owners rights. The most common ones state that it is ok to decompile: for the purposes of interpretability where the interface specification has not been made available, for the purposes of error correction where the owner of the copyright is not available to make the correction, to determine parts of the program that are not protected by copyright. Of course you should be very careful / contact your lawyer if you are in doubt whether you are permitted to disassemble some programs exe file. Note: if you are looking for Delphi cracks, key generators or just serial numbers: you are on the wrong site. Please bear in mind that everything you find here is written/presented for exploration / educational purposes only. For the moment, Borland does not offer any product capable of decompiling an executable (.exe) file or the Delphi compiled unit (.dcu) back to the original source code (.pas). Delphi Compiled Unit (DCU) When a Delphi project is compiled or run a compiled unit (.pas) file is created. By default the compiled version of each unit is stored in a separate binary-format file with the same name as the unit file, but with the extension .DCU. For example unit1.dcu contains the code and data declared in the unit1.pas file. This means that if you have someones, for example, component compiled source all you have to do is to reverse it and get the code. Wrong. The DCU file format is undocumented (proprietary format) and may change from version to version. After the Compiler: Delphi Reverse Engineering If you would like to try to decompile a Delphi executable file, these are some of the things you should know: Delphi programs source files are usually stored in two file types: ASCII code files (.pas, .dpr), and resource files (.res, .rc, .dfm, .dcr). Dfm files contain the details (properties) of the objects contained in a form. When creating an exe, Delphi copies information in .dfm files into the finished .exe code file. Form files describe each component in your form, including the values of all persistent properties. Every time we change a forms position, a buttons caption or assign an event procedure to a component, Delphi writes those modifications in a DFM file (not the code of the event procedure - this is stored in the pas/dcu file). In order to get the dfm from the executable file we need to understand what type of resources are stored inside a Win32 executable. All programs compiled by Delphi have the following sections : CODE, DATA, BSS, .idata, tls, .rdata, .rsrc. The most important from decompiling point of view are the CODE and .rsrc sections. In the Adding functionality to a Delphi program article some interesting facts about Delphi executables format, class info and DFM resources are shown: how to reassign events to be handled by other event handlers defined in the same form. Even more: how to add your own event handler, adding the code to the executable, that will change the caption of a button. Among many types of resources that are stored in an exe file, the RT_RCDATA or the Application-defined resource (raw data) holds the information that were in the DFM file before the compilation. In order to extract the DFM data from an exe file we can call the EnumResourceNames API function... For more information on extracting DFM from an executable go see: Coding a Delphi DFM explorer article. The art of reverse engineering has traditionally been the land of technical wizards, familiar with assembly language and debuggers. Several Delphi decompilers have appeared that allow anybody, even with limited technical knowledge, to reverse engineer most Delphi executable files. If you are interested in reverse engineering Delphi programs I suggest you to take a look at the following few decompilers: IDR (Interactive Delphi Reconstructor) A decompiler of executable files (EXE) and dynamic libraries (DLL), written in Delphi and executed in Windows32 environment. Final project goal is development of the program capable to restore the most part of initial Delphi source codes from the compiled file but IDR, as well as others Delphi decompilers, cannot do it yet. Nevertheless, IDR is in a status considerably to facilitate such process. In comparison with other well known Delphi decompilers the result of IDR analysis has the greatest completeness and reliability. Revendepro Revendepro finds almost all structures (classes, types, procedures, etc) in the program, and generates the pascal representation, procedures will be written in assembler. Due to some limitation in assembler the generated output can not be recompiled. The source to this decompiler is freely available. Unfortunately this is the only one decompiler I was not able to use - it prompts with an exception when you try to decompile some Delphi executable file. EMS Source Rescuer EMS Source Rescuer is an easy-to-use wizard application which can help you to restore your lost source code. If you lose your Delphi or CBuilder project sources, but have an executable file, then this tool can rescue part of lost sources. Rescuer produces all project forms and data modules with all assigned properties and events. Produced event procedures dont have a body (it is not a decompiler), but have an address of code in executable file. In most cases Rescuer saves 50-90% of your time to project restoration. DeDe DeDe is a very fast program that can analyze executables compiled with Delphi. After decompilation DeDe gives you the following: All dfm files of the target. You will be able to open and edit them with Delphi.All published methods in well commented ASM code with references to strings, imported function calls, classes methods calls, components in the unit, Try-Except and Try-Finally blocks. By default DeDe retrieves only the published methods sources, but you may also process another procedure in a executable if you know the RVA offset using the Tools|Disassemble Proc menu.A lot of additional information.You can create a Delphi project folder with all dfm, pas, dpr files. Note: pas files contains the mentioned above well commented ASM code. They can not be recompiled!

Personal Responsibility Essay Example | Topics and Well Written Essays - 1250 words

Personal Responsibility - Essay Example Student B is saying, â€Å"The exam was very difficult for me, and I will not be surprised if I get an F, but, I should have known better and spent more time revising instead of playing video games†. Both cases are of course hypothetical; nevertheless they personify common phenomena in schools wherein some students take responsibility of their actions (B) and others like A want to abscond this. Ultimately, by accepting responsibility B has identified the problem hence has an idea of how to rectify the situation in posterity. â€Å"A†, on the other hand, might fail more exams in the future since he is not willing to take responsibility for his inactions and blames a third part whose errors he cannot rectify. This essay discusses the role of personal responsibility in students, as well as some of the strategies they may use to improve their chances of achieving success in their various field of study. It is the onus of every student to ensure they come up with the best pl ans and strategies, so they can guarantee their academic success. For a student to come up with these strategies, it is imperative they put into consideration first several factors, have the strategies they want to use been used before in similar circumstances? If so, were they successful? They could also consider the resources in terms of time and academic resources, so they make strategies, which they will be able to execute from within their budgeted time, and other resources. The past is also an important consideration when it comes to strategizing; before one makes any plans to improve themselves, it is crucial they consider what lead to their lackluster or mediocre performance in the past. A student wishing to see real improvement must first do a thorough post Mortem of the past performance, in order to identify the weak points in past plans and avoid repeating them in the new strategy. Student may apply the following are strategies to improve their performance; They should ta ke to account the learning styles which provide them with the best results this is the individuals preferred orientation toward learning (Bulut andYukselturk, 2007). Some students learn through class discussion others through listening in class and other by active research where they seek out the answers for themselves; the student should hence apply whichever technique, or combination of techniques, that works for them and hence adapt their plan to the most suitable learning theory for the best results. The student directly takes personal responsibility for their performance through setting personal goals, since they dictate, autonomously, the kind performance they wish to achieve. Operating in any situation without predetermined goals is analogous to running a race without a finish line. As such goals are a vital aspect of any accomplishment in academic pursuits, they can be measured in a number of ways depending on individual students such s Grades, or personal fitness and other forms of self-improvement like, read two books a week. Goals should be specific, measurable, and students should write them down and ensure they are in a place where they are seen daily, so they are a constant reminder. One should also have both long-term and short-term goals, the latter, which help them evaluate their

Labour market analysis report Lab Example | Topics and Well Written Essays - 1750 words

Labour market analysis - Lab Report Example All these factors combined are evidence of good business that will keep on going and of a healthy national coffer that will stay as strong and full as ever. In front of these backdrops are the fruits that will be reaped at the end of the day. As a matter of course, employment and salaries will increase and consumer spending will immensely rise. The foregoing premises have to be laid down because this report will proceed with the labor market specifics of a certain business domain and it is basic knowledge that any financial dynamic moves hand-in-hand with the issue of jobs. In particular, reference is made to the Coles Supermarkets chain. For brevity, it is here referred to as Coles. Any projection presumed in the instant report is pegged constantly at five (5) years. There are two parts here which are divided into two tasks. The first one will be on labor market analysis which will comprise of the performance criteria (1) to determine predicted areas of organizational growth and downsizing and associated labor requirements, (2) to analyze the organization’s current workforce capacity to meet current predicted demands for the goods and services of the business, (3) to research and review current and predicted external labor supply, demographic and economic data, and to forecast human resources supply, (4) to determine the organizational diversity requirements in the workforce, and (5) to make the necessary recommendations for workforce planning. The second part of the report pertains to (1) succession planning and workforce plan evaluation, and (2) developing a succession plan which addresses internal labor needs in the medium to long term requirements, utilizing succession planning principles with an incorporated retention plan. Coles has seven hundred forty (740) stores all over Australia. It has a workforce consisting of about ninety two thousand (92,000) employees.5 This is a relatively large organization.