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percent (the actual top was January 14, 2000), , and the Nasdaq Composite Index cratered a whopping 779 percent There will definitely be future bear markets, and if we are in a secular (long-term) bear market, then this current bear market may not have ended in 2002 Therefore, the key to investing is to preserve your capital at all costs That means you should take prudent actions to avoid bear markets and not be invested in stocks when they occur If you do not exit the market to protect your hardearned money, then your profits (if there are any) and even your principal will quickly shrink How much can you lose in the next bear market The crash of 1929 wiped out 86 percent of the value of investors portfolios, and the investors required 252 years to break even (not counting dividend reinvestment) Since then, there have been 19 bear markets, with an average loss of 33 percent, which took an average of 35 years to regain those losses Not only are bear markets deadly financially, they can and do inflict significant emotional harm as well Intelligent investors know that bear markets are inevitable, and therefore you should either step aside, into cash or, depending on your level of risk tolerance, you should short the market using mutual funds that are specialized for investing in bear markets or exchange-traded funds The experts tell you that no one can time the markets with consistency Guess what The experts are wrong again, as you shall see This book will provide you with the information you need so that you don t have to guess or make an investing decision based on emotion or someone else s opinion of where the market is headed In late July 2002, Lawrence Kudlow, co-host of the Kudlow & Cramer show on CNBC, jokingly said that he and co-host Jim Cramer had called the 2001 2002 bear market bottom seven times, and that they will eventually get it right! But this is no joke You can t afford to depend on someone else s guesses You need to make your own investment decisions which you can do if you stick with the time-tested indicators and strategies which you will learn about in this book.

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Tesseract ocr PDF as input - Stack Overflow
Tesseract supports the creation of sandwich since version 3.0. But 3.02 or 3.03 are recommended for this feature. Pdfsandwich is a script which does more or ...

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Aug 9, 2017 · Đỗ Lâm Bình Minh Skype:dolambinhminh Facebook:https://www.facebook.com/​dolambinhminh ...Duration: 8:01 Posted: Aug 9, 2017

As the output shows, the second task did not begin until the first task completed Also notice that it was necessary for Main( ) to wait only on the continuation task This is because MyTask( ) will be finished before ContTask begins Thus, there is no need to wait for MyTask( ), although it would not be wrong to do so As a point of interest, it is not uncommon to use a lambda expression as a continuation task For example, here is another way to write the continuation used in the preceding program:

// Here, a lambda expression is used as the continuation Task taskCont = tskContinueWith((first) => { ConsoleWriteLine("Continuation starting"); for(int count = 0; count < 5; count++) {

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.NET OCR Library API for Text Recognition from Images in C# & VB ...
Mar 6, 2019 · Provide robust .NET OCR APIs for accurate and fast text recognition. C# example shows how to extract text from image file using OCR library. ... NET Convert PDF to Image in Windows and Web Applications. 4.8 Star. (4). C# ...

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Data compression, available only in the Enterprise edition of SQL Server 2008, allows you to compress individual tables and indexes using either page compression or row compression, both of which we ll cover shortly. Due to its potentially adverse impact on performance, there s no option to compress the entire database in one action. As you can see in figure 9.10, you can manage a table s compression by right-clicking it and choosing Storage > Manage Compression. When considering compression in a broad sense, lossy and lossless are terms used to categorize the compression method used. Lossy compression techniques are used in situations where a certain level of data loss between the compressed and uncompressed file is accepted as a consequence of gaining higher and faster compression

Part II:

ThreadSleep(500); ConsoleWriteLine("Continuation count is " + count ); } ConsoleWriteLine("Continuation terminating"); } );

Here, the parameter first receives the antecedent task (which is tsk in this case) In addition to ContinueWith( ) provided by Task, there are other methods that support task continuation provided by TaskFactory These include various forms of ContinueWhenAny( ) and ContinueWhenAll( ), which continue a task when any or all of the specified tasks complete, respectively

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Optical Character Recognition in PDF Using Tesseract Open-Source ...
Syncfusion Essential PDF supports OCR by using the Tesseract open-source engine. With a few lines of code, a scanned paper document containing raster images is converted to a searchable and selectable document. You can download the OCR processor product setup here.

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Feb 26, 2019 · Introduction. Tesseract engine optical character recognition (OCR) is a technology used to convert scanned paper documents, PDF files, and ...

rates. JPEG images are a good example of lossy compression, where a reduction in data quality between the original image and the compressed JPEG is acceptable. Video and audio streaming are other common applications for lossy compression. It goes without saying that lossy compression is unacceptable in a database environment. SQL Server implements its own custom lossless compression algorithm and attempts to strike a balance between high compression rates and low CPU overhead. Compression rates and overhead will vary, and are dependent on a number of factors that we ll discuss, including fragmentation levels, the compression method chosen, and the nature of the data being compressed. Arguably the most powerful aspect of SQL Server s implementation of data compression is the fact that the compressed data remains compressed, on disk and in the buffer cache, until it s actually required, at which point only the individual columns that are required are uncompressed. Compared to a file system based compression solution, this results in the lowest CPU overhead while maximizing cache efficiency, and is clearly tailored toward the unique needs of a database management system. Let s consider some of the benefits of data compression: Lower storage costs Despite the rapidly decreasing cost of retail storage, storage found in high-end SANs, typically used by SQL Server implementations, is certainly not cheap, particularly when considering actual:usable RAID ratios and duplication of data for various purposes, as figure 9.11 shows. Lower administration costs As databases grow in size, disk I/O bound administration tasks such as backups, DBCC checks, and index maintenance take longer and longer. By compressing certain parts of the database, we re able to reduce the administration impact. For example, a database that s compressed to half its size will take roughly half the time to back up.2

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