Chinese Language Characters as Pictographs

A common misconception about Chinese characters is that they are pictures. I have met many people who dont study Chinese who think that the writing system works much like rebuses where pictures represent concepts and meaning is communicated by listing many such pictures next to each other. This is partly correct, there are a number of Chinese characters that are actually drawn from just looking at the world; these are called pictographs. The reason I say that its a misconception is that these characters make up a very small portion of the total number of characters (perhaps as little as 5%). Since they are so basic and easy to understand, some teachers give their students the false impression that this is the way characters are normally formed, which is not true. This makes Chinese feel much easier, but any learning or teaching method built on this will be limited. For other, more common ways of forming Chinese characters, please read this article. Still, it is important to know how pictographs work because they are the most basic kind of Chinese character and they appear frequently in compounds. Learning pictographs is relatively easy if you know what they represent. Drawing a Picture of Reality Pictographs were originally pictures of phenomena in the natural world. Over the centuries, some of these pictures have morphed beyond recognition, but some are still clear. Here are some examples: Ã¥ ­  child (zÇ ) mouth (kÇ’u)æÅ"ˆ moon (yuà ¨) mountain (shÄ n)æÅ" ¨ tree (mà ¹)ç” ° field (tià ¡n) While it might be hard to guess what these characters mean the first time you see them, its relatively easy to recognize the drawn objects once you know which they are. This makes them easier to remember as well. If you want to see how some common pictographs have evolved, please check the pictures here. The Importance of Knowing Pictographs Even though its true that only a small proportion of Chinese characters are pictographs, that doesnt mean that they arent important. First, they represent some very basic concepts that students need to learn early on. They arent necessarily the most common characters (those are usually grammatical in nature), but they are still common. Second, and more importantly, pictographs are very common as components of other characters. If you want to learn to read and write Chinese, you have to break characters down and understand both the structure and the components themselves. Just to give you a few examples, the character Ã¥  £ (kÇ’u) mouth appears in hundreds of characters related to speaking or sounds of different kinds! Not knowing what this character means would make learning all those characters much harder. Likewise, the character æÅ" ¨ (mà ¹) tree above is used in characters that represent plants and trees, so if you see this character in a compound next to (usually to the left) of a character you have never seen before, you can be reasonably sure that its a plant of some sort. To get a more complete picture of how Chinese characters work, though, pictographs arent enough, you need to understand how they are combined in different ways: Character type 1: PictographsCharacter type 2: Simple ideogramsCharacter type 3: Combined ideographsCharacter type 4: Semantic-phonetic compounds

Can Technology Affect Ethics and Culture - 1013 Words

Can Technology Affect Ethics and Culture? Jeremiah Johnson TEC/401 Linda Poole November 16, 2006 Can Technology Affect Ethics and Culture? In today s work environment, workers are expected to know more than ever before. With the growing of technology comes more knowledge that end-users must know, so it is important for workers not to be distracted by unethical practices. However, with technology also comes a more defined sense of communication, which can be good or bad. This improved communication can not only encourage unethical behavior, but it can discourage it as well. This paper discusses how technology can encourage and discourage unethical behaviors, it explains how these behaviors can shape the type of work environment†¦show more content†¦Consequentially, in this case, work ethics can shape a company s culture for the better or for the worst, depending on how co-workers and managers react among each other s cultural diversity. If the employer were to realize that in order to obtain the diversity that a cross-functional team has to offer, sacrifices (training) n eed to be made; his/her company would likely grow in the long run. This is why it is important to have an HR manager handy to make these decisions. An HR manager can do many things with technology to affect a companies culture. For instance, some companies have a wide variety of cultural backgrounds. If the HR managers of these companies do some research on the Internet, they will find an abundance of information about the different cultures of their companies employees. Then they can make copies of the information and make it a mandatory duty for each employee (including management) to learn the different cultures. This might prevent future conflicts of offending natures. Another thing that they could do is make sure that the company has a strict policy about e-mails, Internet surfing, and malicious software that could offend people. 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Futures contract Free Essays

A formal treatment of this issue is provided by Easily, O’Hara, and Carnivals (1998), who allow the participation of informed traders in the option market to be decided endogenously in an equilibrium framework. In their model, informed investors choose to a â€Å"pooling quill? Trade in both the option and the stock market? In barium†? When the leverage implicit in options is large, when the liquidity in the stock market is low, or when the overall fraction of informed traders is high. Our main empirical result directly tests whether the stock and option market are in he pooling equilibrium of Easily, O’Hara, and Carnivals (1998). We will write a custom essay sample on Futures contract or any similar topic only for you Order Now Using option trades that are initiated by buyers to open new positions, we form put-call ratios to examine the predictability of option trading for future stock price movements. We find predictability that is strong in both magnitude and statistical significance. For our 1990 through 2001 sample period, stocks with positive option signals (I. E. , those with lowest quintile put-call ratios) outperform those with negative option signals (I. E. , those with highest quintile put-call ratios) by over 40 basis points per day and 1% per eek on a risk-adjusted basis. When the stock returns are tracked for several weeks, the level of predictability gradually dies out, indicating that the information contained in the option volume eventually gets incorporated into the underlying stock prices. Although our main empirical result clearly documents that there is informed trading in the option market, it does not necessarily imply that there is any market inefficiency, because the option volume used in not our main test? Which is initiated by buyers to open new positions? Is publicly observable. Indeed, information-based models [e. , Glisten and Milord (1985); Easily, O’Hara, and Carnivals (1998)] imply that prices adjust at once to the public information contained in the trading process but may adjust slowly to the private information possessed by informed traders. As a result, the predictability captured in our main test may well correspond to the process of stock prices gradually adjusting to the private component of information in option trad ing. Motivated by the differing theoretical predictions about the speed at which prices adjust to public versus private information, we explore the predictability of publicly errors nonpublic observable option volume. For Journal that 25, example, July 2002,the Wholesaler reported theChicagoBoardOptions was â€Å"unusual activity† options shares Whet, pharmaceuticals investigating trading in Madison, which tactical based increase trading volume earlier NJ, giant superintendence’s month. Option occurred before release a government bathe study peptic days American Medical Association documented a heightened abreast risk heart cancer, coronary of the who disease, strokes, bloodspots women had benefiting Whitey’s hormone-replacement drug years. Preemptor many 872 innovation Delimitation Following previous empirical studies in this area [e. . , Easily, O’Hara, and Carnivals (1998); Chain, Chunk, and Font (2002)], we use the Lee and Ready (1991) algorithm to ba ck out buyer-initiated put and call option volume from publicly observable trade and quote records from the Chicago Board Options Exchange (CUBE). We find that the resulting publicly observable option signals are able to predict stock returns for only the next one or two trade days. Moreover, the stock prices subsequently reverse which raises the question of whether the predictability from the public signal is a manifestation of rice pressure rather than informed trading. In a abbreviate analysis which includes both the public and the nonpublic signals, the nonpublic signal has the same pattern of information-based predict? Ability as when it is used alone, but there is no predictability at all from the public signal. This set of findings underscores the important distinction between public and nonpublic signals and their respective roles in price discovery. Further, the weak predictability exhibited by the public signal suggests that the economic source of our main result is valuable private information in the option volume rather than an inefficiency across the stock and option market. Central to all information-based models is the roles of informed and uninformed traders. In particular, the concentration of informed traders is a key variable in such models with important implications for the innovativeness of trading volume. Using the PIN variable proposed by Easily, Kefir, and O’Hara (1997) and Easily, Heavier, and O’Hara (2002) as a measure of the prevalence of informed traders, we investigate how the predictability from option volume varies across underlying stocks with efferent concentrations of informed traders. We find a higher level of predictability from the option signals of stocks with a higher prevalence of informed traders. 2 Although the theoretical models define informed and uninformed trap? Deer strictly in terms of information sets, we can speculate outside of the models about who the informed and uninformed traders might be. Our data set is unique in that in addition to recording whether the initiator of volume is a buyer or a seller opening or closing a position, it also identifies the investor class of the initiator. We find that option signals from investors who trade through full-service brokerage houses discount brokerage houses. Given that the option volume from felicities brokerages includes that from hedge funds, this result is hardly surprising. It is interesting, however, that the option signals from firm proprietary traders contain no information at all about future stock price † Given stocks PIN smaller could driven the that be stocks, result higher artistically by fact there higher from stocks. Show that is notches. Len this signals smaller predictability option PIN result remains size. Intact controlling after particular, 73 studies n 3 2006 movements. In the framework of the information-based models, this result suggests market primarily for hedging purposes. Finally, a unique feature of the MultiMate stock and option setting is the availability of securities with differing leverage. Black (1975) asserted that leverage is the key variable which determines whether informed investors choose to trade in the option market, and Easily, O’Hara, and Carnivals (1998) demonstrated that under a natural set of assumptions this is indeed the case. Motivated by these considerations, we investigate how the predictability documented n our main test varies across option con? Races with differing degrees of leverage. We find that option signals constructed from deep out-of-the-money (TOM) options, which are highly leveraged contracts, exhibit the greatest level of predictability, whereas the signals from contracts with low leverage provide very little, if any, predictability. 3 The rest of the article is organized as follows. In Section 1, we synthesize the existing theory literature and empirical findings and develop empirical specifications. We detail the data in Section 2, present the results in Section 3, and conclude in Section . 1. Option Volume and Stock Prices 1. 1 Theory The theoretical motivation for our study is provided by the voluminous literature that addresses the issue of how information gets incorporated into asset prices. In this subsection, we review the theoretical literature with a focus on insights that are directly relevant for our empirical study. In particular, we concentrate on the linkage between information genre? Dated by the trading process and the information on the underlying asset value, the role of public versus private information, and the process of price adjustment. 4 The issue of how information gets incorporated into asset prices is central to all information-based models. Although specific modeling approaches differ, information gets incorporated into security prices as a result of the trading behavior of informed and uninformed traders. In the sequential trade model of Glisten and Milord (1985), How to cite Futures contract, Papers

Fundamentals of Database _Assignment

Questions: 1. Which account is designated as the owner of a relation? What privileges does the owner of a relation have?2. How is the view mechanism used as an authorization mechanism?3. Discuss the types of privileges at the account level and those at the relation level.4. What are the main reasons for and potential advantages of distributed databases?5. What additional functions does a DDBMS have over a centralized DBMS? Answers: 1. With respect to some specific relation, an owner account is the user account that have all controls over that relation. Owner can have maximum privileges on the relation. An owner of the relation can have the following privileges, Selection Modification Referencing With respect to that relation. 2. With respect to a database, a view is a set of records from a query and is represented as a virtual relation. It is not a part of the physical schema of the database, rather it is a virtually calculated set of records those are processed dynamically from the database. Views can also be used in access control mechanism. These can be used to grant access limits on some relation for multiple users. For example, in an office, there will be payroll information of all employees. Now, the accountant have access to the payroll relation. CEO is an employee, so the payroll information of the CEO will also be in the payroll relation. But an account should not have access control to all payroll information of the CEO. Thus, view will be used to separate the access control on the same physical relation payroll. It will give different level of access control on the data of the payroll relation. 3. Granting privilege is related to the concept of authorization of the identifier for some user account. A user will have some set of access restrictions to some relations of the database. When the user will need to access some relation, the system will check for the set of relations and access controls that have been granted previously to that user, if it matches, then the user will have access to the requested information from some relation. Assignment of privileges to some user can be any of the two types. Those are, Account level The DBA of the database will set the privileges in this level. The privileges will be effective independently to each of the relations of the database. Relation level Again the DBA will set the privileges to relations or views of the database. 4. Distributed databases works based on some network. The potential advantages of distributed databases are, It is easier and more flexible for development of applications. It performs better. It is scalable. 5. The additional features of distributed database over the same in centralized database are, It keeps track of distribution, replication and fragmentation of data. It supports distributed query processing over a network. It supports distributed transaction management, data replication management, distributed recovery management. There is distributed catalog management. The overall complexities of the above features is lesser in distributed database compared to centralized databases. References Cellary, W., T. Morzy, E. G. (2014). Concurrency Control in Distributed Database Systems. Elsevier. Elmasri, R., Navathe, S. B. (2013). Fundamentals of Database Systems. Pearson . Mullins, C. S. (2013). Database Administration: The Complete Guide to DBA Practices and Procedures. Addison-Wesley Professional. zsu, M. T., Valduriez, P. (2011). Principles of Distributed Database Systems. Springer. Rahimi, S. K., Haug, F. S. (2010). Distributed Database Management Systems. John Wiley Sons. Silberschatz, A., Korth, H. F., Sudarshan, S. (2011). Database System Concepts (6th ed.). McGraw-Hill.