Globalization of World Financial Markets Essay Example | Topics and Well Written Essays - 2000 words

Globalization of World Financial Markets - Essay Example Research finding proving the detrimental effect ÃŽ ¿f liberalization on the financial system. The Wyplosz research paper says that the evidence based on studies ÃŽ ¿f the experience with liberalization in a sample ÃŽ ¿f 27 developing and developed economies seems to be converging to the view that liberalization contributes to both banking and currency crisis.A study by Eichengreen, Andrew Rose and Wyplosz (1995) found that the presence ÃŽ ¿f capital controls reduces the possibility ÃŽ ¿f a currency crisis. This result has been confirmed in a 1999 study by Marco Rossi (IMF working paper WP/99/66) for a sample that includes developing countriesAccording to Wyplosz study, liberalization ÃŽ ¿f financial markets may be desirable in the long term, but it is risky in the short to medium term, and developing countries should approach this as a delicate step calling for cautious policy reactions, according to a research study for the Group ÃŽ ¿f 24 on International Monetary Affairs, the devel oping country grouping at the IMF and the World Bank.In theory the liberalization ÃŽ ¿f capital accounts and financial markets, promoted and pushed by the International Monetary Fund and the international financial institutions (IFIs) is different from the push at the World Trade Organization for liberalization ÃŽ ¿f trade in financial services.However, whether it be through capital account liberalization or via the liberalization ÃŽ ¿f trade in financial services, the effect on developing countries could be the same.... According to Wyplosz study, liberalization f financial markets may be desirable in the long term, but it is risky in the short to medium term, and developing countries should approach this as a delicate step calling for cautious policy reactions, according to a research study for the Group f 24 on International Monetary Affairs, the developing country grouping at the IMF and the World Bank. In theory the liberalization f capital accounts and financial markets, promo ted and pushed by the International Monetary Fund and the international financial institutions (IFIs) is different from the push at the World Trade Organization for liberalization f trade in financial services. However, whether it be through capital account liberalization or via the liberalization f trade in financial services, the effect on developing countries could be the same, particularly in the absence f major reforms to the international monetary and financial systems. In and by itself, the study finds that liberalization does not pose a lethal threat to the balance-of-payments and may carry significant long-term gains. However, he also stated that the positive influence f liberalization is not easily confirmed and most recent studies find little or no effect though some early results suggest that fast growth and financial development go hand in hand, In the case f capital account liberalization, the peak to trough decline in the output gap exceeds 20 percent. No other shock ever seems responsible for such a massive contraction. The boom exceeds the bust in magnitude, but not in length. Thus liberalization brings about an overall gain in terms f output. With the increasing

Abortion :: essays research papers

Abortions Pro Choice supporters who claim it isn't do themselves and their cause a disservice. Of course it's alive. It's a biological mechanism that converts nutrients and oxygen into energy that causes its cells to divide, multiply, and grow. It's alive. Anti-abortion activists often mistakenly use this fact to support their cause. "Life begins at conception" they claim. And they would be right. The genesis of a new human life begins when the egg with 23 chromosomes joins with a sperm with 23 chromosomes and creates a fertilized cell, called a zygote, with 46 chromosomes. The single-cell zygote contains all the DNA necessary to grow into an independent, conscious human being. It is a potential person. But being alive does not give the zygote full human rights - including the right not to be aborted during its gestation. A single-cell ameba also coverts nutrients and oxygen into biological energy that causes its cells to divide, multiply and grow. It also contains a full set of its own DNA. It shares everything in common with a human zygote except that it is not a potential person. Left to grow, it will always be an ameba - never a human person. It is just as alive as the zygote, but we would never defend its human rights based solely on that fact. And neither can the anti-abortionist, which is why we must answer the following questions as well. 2. Is it human? Yes. Again, Pro Choice defenders stick their feet in their mouths when they defend abortion by claiming the zygote-embryo-fetus isn't human. It is human. Its DNA is that of a human. Left to grow, it will become a full human person. And again, anti-abortion activists often mistakenly use this fact to support their cause. They are fond of saying, "an acorn is an oak tree in an early stage of development; likewise, the zygote is a human being in an early stage of development." And they would be right. But having a full set of human DNA does not give the zygote full human rights - including the right not to be aborted during its gestation. Don't believe me? Here, try this: reach up to your head, grab one strand of hair, and yank it out. Look at the base of the hair. That little blob of tissue at the end is a hair follicle. It also contains a full set of human DNA.

Research Papers in Computer Science Essay

Since we recently announced our $10001 Binary Battle to promote applications built on the Mendeley API (now including PLoS as well), I decided to take a look at the data to see what people have to work with. My analysis focused on our second largest discipline, Computer Science. Biological Sciences (my discipline) is the largest, but I started with this one so that I could look at the data with fresh eyes, and also because it’s got some really cool papers to talk about. Here’s what I found: What I found was a fascinating list of topics, with many of the expected fundamental papers like Shannon’s Theory of Information and the Google paper, a strong showing from Mapreduce and machine learning, but also some interesting hints that augmented reality may be becoming more of an actual reality soon. The top graph summarizes the overall results of the analysis. This graph shows the Top 10 papers among those who have listed computer science as their discipline and chosen a subdiscipline. The bars are colored according to subdiscipline and the number of readers is shown on the x-axis. The bar graphs for each paper show the distribution of readership levels among subdisciplines. 17 of the 21 CS subdisciplines are represented and the axis scales and color schemes remain constant throughout. Click on any graph to explore it in more detail or to grab the raw data.(NB: A minority of Computer Scientists have listed a subdiscipline. I would encourage everyone to do so.) 1. Latent Dirichlet Allocation (available full-text) LDA is a means of classifying objects, such as documents, based on their underlying topics. I was surprised to see this paper as number one instead of Shannon’s information theory paper (#7) or the paper describing the concept that became Google (#3). It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline. In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers. Presumably, those interested in popular topics such as machine learning list themselves under AI, which explains the strength of this subdiscipline, whereas papers like the Mapreduce one or the Google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines. Professor Blei is also a bit of a superstar, so that didn’t hurt. (the irony of a manually-categorized list with an LDA paper at the top has not escaped us) 2. MapReduce : Simplified Data Processing on Large Clusters (available full-text) It’s no surprise to see this in the Top 10 either, given the huge appeal of this parallelization technique for breaking down huge computations into easily executable and recombinable chunks. The importance of the monolithic â€Å"Big Iron† supercomputer has been on the wane for decades. The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it. This is perhaps expected for such a general purpose technique, but given the above it’s strange that there are no AI readers of this paper at all. 3. The Anatomy of a large-scale hypertextual search engine (available full-text) In this paper, Google founders Sergey Brin and Larry Page discuss how Google was created and how it initially worked. This is another paper that has high readership across a broad swath of disciplines, including AI, but wasn’t dominated by any one discipline. I would expect that the largest share of readers have it in their library mostly out of curiosity rather than direct relevance to their research. It’s a fascinating piece of history related to something that has now become part of our every day lives. 4. Distinctive Image Features from Scale-Invariant Keypoints This paper was new to me, although I’m sure it’s not new to many of you. This paper describes how to identify objects in a video stream without regard to how near or far away they are or how they’re oriented with respect to the camera. AI again drove the popularity of this paper in large part and to understand why, think â€Å"Augmented Realityâ€Å". AR is the futuristic idea most familiar to the average sci-fi enthusiast as Terminator-vision. Given the strong interest in the topic, AR could be closer than we think, but we’ll probably use it to layer Groupon deals over shops we pass by instead of building unstoppable fighting machines. 5. Reinforcement Learning: An Introduction (available full-text) This is another machine learning paper and its presence in the top 10 is primarily due to AI, with a small contribution from folks listing neural networks as their discipline, most likely due to the paper being published in IEEE Transactions on Neural Networks. Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli. This is how we’ll teach the robots behaviors in a human fashion, before they rise up and destroy us. 6. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions (available full-text) Popular among AI and information retrieval researchers, this paper discusses recommendation algorithms and classifies them into collaborative, content-based, or hybrid. While I wouldn’t call this paper a groundbreaking event of the caliber of the Shannon paper above, I can certainly understand why it makes such a strong showing here. If you’re using Mendeley, you’re using both collaborative and content-based discovery methods! 7. A Mathematical Theory of Communication (available full-text) Now we’re back to more fundamental papers. I would really have expected this to be at least number 3 or 4, but the strong showing by the AI discipline for the machine learning papers in spots 1, 4, and 5 pushed it down. This paper discusses the theory of sending communications down a noisy channel and demonstrates a few key engineering parameters, such as entropy, which is the range of states of a given communication. It’s one of the more fundamental papers of computer science, founding the field of information theory and enabling the development of the very tubes through which you received this web page you’re reading now. It’s also the first place the word â€Å"bit†, short for binary digit, is found in the published literature. 8. The Semantic Web (available full-text) In The Semantic Web, Tim Berners-Lee, Sir Tim, the inventor of the World Wide Web, describes his vision for the web of the future. Now, 10 years later, it’s fascinating to look back though it and see on which points the web has delivered on its promise and how far away we still remain in so many others. This is different from the other papers above in that it’s a descriptive piece, not primary research as above, but still deserves it’s place in the list and readership will only grow as we get ever closer to his vision. 9. Convex Optimization (available full-text) This is a very popular book on a widely used optimization technique in signal processing. Convex optimization tries to find the provably optimal solution to an optimization problem, as opposed to a nearby maximum or minimum. While this seems like a highly specialized niche area, it’s of importance to machine learning and AI researchers, so it was able to pull in a nice readership on Mendeley. Professor Boyd has a very popular set of video classes at Stanford on the subject, which probably gave this a little boost, as well. The point here is that print publications aren’t the only way of communicating your ideas. Videos of techniques at SciVee or JoVE or recorded lectures (previously) can really help spread awareness of your research. 10. Object recognition from local scale-invariant features (available in full-text) This is another paper on the same topic as paper #4, and it’s by the same author. Looking across subdisciplines as we did here, it’s not surprising to see two related papers, of interest to the main driving discipline, appear twice. Adding the readers from this paper to the #4 paper would be enough to put it in the #2 spot, just below the LDA paper. Conclusions So what’s the moral of the story? Well, there are a few things to note. First of all, it shows that Mendeley readership data is good enough to reveal both papers of long-standing importance as well as interesting upcoming trends. Fun stuff can be done with this! How about a Mendeley leaderboard? You could grab the number of readers for each paper published by members of your group, and have some friendly competition to see who can get the most readers, month-over-month. Comparing yourself against others in terms of readers per paper could put a big smile on your face, or it could be a gentle nudge to get out to more conferences or maybe record a video of your technique for JoVE or Khan Academy or just Youtube. Another thing to note is that these results don’t necessarily mean that AI researchers are the most influential researchers or the most numerous, just the best at being accounted for. To make sure you’re counted properly, be sure you list your subdiscipline on your profile, or if you can’t find your exact one, pick the closest one, like the machine learning folks did with the AI subdiscipline. We recognize that almost everyone does interdisciplinary work these days. We’re working on a more flexible discipline assignment system, but for now, just pick your favorite one. These stats were derived from the entire readership history, so they do reflect a founder effect to some degree. Limiting the analysis to the past 3 months would probably reveal different trends and comparing month-to-month changes could reveal rising stars.

The Death Of A Control Freak - 1126 Words

As with most things in life, you do not really know what you have gotten yourself into until it is too late. Many people do not realize that they are dating a control freak until it is too late. By the time that they can tell that their other half is a control freak; they are in a long term, serious relationship. It would be much easier if we could all see the warning signs of our dates being control freaks before we commit our hear and long term happiness to them. Now you can tell the warning signs that your date is a control freak. Sign One When you realize that it is either your date s way or the highway. All relationships need to have a certain amount of give and take. People in relationships know that they must compromise to make both people in their relationship truly happy. A control freak will not know or agree that they should give up any ground on their ideas. 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