text:
|Publication number
|Publication type
|Application number
|Publication date
|Feb 10, 1998
|Filing date
|Apr 16, 1996
|Priority date
|Apr 16, 1996
|Fee status
|Also published as
|Publication number
|John Thomas Feo, David Carlton Hanks, Thomas Arthur Kraay
|Original Assignee
|The Regents Of The University Of California
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|BiBTeX, EndNote, RefMan
|Patent Citations (1), Referenced by (15), Classifications (6), Legal Events (6)
|External Links: USPTO, USPTO Assignment, Espacenet
The United States Government has rights in this invention pursuant to Contract No. W-7405-ENG-48 between the United States Department of Energy and the University of California for the operation of Lawrence Livermore National Laboratory.
1. Field of the Invention
The present invention relates to data compression and more particularly to methods and systems for representing a computer data file as a set of complex number-value pairs.
2. Description of the Background Art
A so-called graphics interchange format (GIF) was developed by a telephone-based information source, CompuServe Incorporated. GIF uses Lempel-Ziv and Welch (LZW) compression as its primary source of image compression. The syntax of the GIF data stream provides the information required for the preparation of LZW decoding, such as color maps. GIF compression is lossless, with a compression ratio from 2:1 to 9:1 being possible, depending on the type of data being compressed.
LZW Encoding reduces the size of a data set in one dimension. The compression method developed by Lempel-Ziv and Welch, known as LZW compression, seeks to take advantage of repeated sequences of data values, even when the repetition exists non-contiguously. A unique code replaces a repeated sequence in the encoded data set, saving bytes each time that sequence is repeated. Consider the following data stream and its corresponding compressed data stream. ##STR1##
Given the compressed data set, a table or "codebook" which assigns values to each code is used to decode the data. In the example above, such a codebook would assign "5 23 7" to the entry for Code1. If the codebook is large, however, the overhead costs of storing it can greatly reduce the efficiency of compression. LZW compression was developed to avoid this storage requirement. It also has the pleasant characteristics of relatively low memory requirements, due to its sequential processing, and simplicity of algorithm, leading to implementations which use a relatively small amount of computer code.
In LZW compression, an encoder and decoder build identical codebooks as the data stream is processed sequentially. The encoder outputs a pattern code only after it has found the pattern more than once. The first time it processes a sequence of data, it places that sequence in its codebook and outputs the sequence without any encoding. During decoding, this sequence is output and an entry into the codebook is made for this sequence. The entry is assigned a code in the same manner that the encoder assigned a code, so that when this code is encountered later, the decoder will output the correct sequence of values.
To further illustrate LZW compression, the following algorithms for encoding and decoding are presented, together with simulation examples for each. Here, a colon is used to indicate concatenation. For example "abc": "d"="abcd".
______________________________________encodinginitialize the codebook - one entry for each possible individualvalueprefix = empty stringrepeatdataValue = next data value in data streamif prefix : dataValue is already in codebookthen prefix = prefix : dataValueelse { add prefix : dataValue to the codebook output the prefix code from the codebook prefix = dataValue}until all the data values are processedoutput the code from the codebook for prefix______________________________________
For the encoding algorithm, a string of data values is built until the string is different from any other previously coded string. New data strings are always made of some previously known strings (which has been entered into the codebook) plus one new data value. When a new pattern is found the new pattern is immediately added to the codebook, the code for the prefix of the new data string is output, and the data string is reinitialized to begin the search for a new data string. Each time a code is output, a new entry is made in the codebook.
__________________________________________________________________________simulation of encodingassuming that original data can be one of three different values - a, b,or c.Consider the sample data stream "a b a b b b b c".Initialize the codebook as follows:Code Data Value Prefix : Data Value0 a: a1 b: b2 c: cprefix=empty string input prefix: new codebook entriesdataValue dataValue code data string output new prefix: a code 0 already entered! 0b 0 : b 3 ab 0 1a 1 : a 4 ba 1 0b 0 : b code 3 already entered! 3b 3 : b 5 abb 3 1b 1 : b 6 bb 1 1b 1 : b code 6 already entered! 6c 6 : c 7 bbc 6 2output last prefix value: 2decodinginitialize the codebook - one entry for each possible individual valuecode = the first code value in the compressed data streamoutput the data string that corresponds to code in the codebookrepeatoldCode = codecode = next code value from compressed data streamif code already exists in the codebookthen { output the data string corresponding to code prefix = oldCode suffix = first value from output data string}else { prefix = oldCode suffix = first value from the prefix data string output prefix : suffix}add prefix : suffix to the codebookuntil all code values are processed__________________________________________________________________________
For the if-statement, when the input code is already in the codebook, it is a straight forward process to output the string corresponding to that code. When a code is encountered which is not yet in the codebook, the immediately preceding data values must form the new data string. The new data string being formed is immediately preceded by itself. Since the preceding suffix starts the current prefix, the new code's data string must begin and end with the same data value. And since the pattern is repeated, the prefix of the new data string must be the string corresponding to the code previously input to the decoder. Therefore, the value of the undefined code is oldCode concatenated with the first value of oldCode.
__________________________________________________________________________simulation of decodingThe encoder produced the data stream "013162". This now becomes ourinputfor the decoder.Initialize the codebook as follows:Code Data Value Prefix : Data Value0 a: a1 b: b2 c: ccode = 0output a (data value of code 0) new codebook entries input in prefix:oldCode Code codebook? prefix suffix output code string suffix0 1 yes 0 1 b 3 ab 0:11 3 yes 1 0 ab 4 ba 1:03 1 yes 3 1 b 5 abb 3:11 6 no 1 1 bb 6 bb 1:16 2 yes 6 2 c 7 bbc 6:2__________________________________________________________________________
The string produced by the decoder, "ababbbbc", is the original string which was input into the encoder.
The effectiveness of LZW compression is data dependent. Simple line drawings that are stored in raster format can be compressed as much as 16:1 or more. Raster scanned photographs are expected to achieve compression ratios from 2:1 to 9:1.
The Joint Photographic Experts Group (JPEG) has issued a suite of standards, with twenty nine distinct coding processes in all. The so-called JPEG compression standard was intended to satisfy a broad range of applications. Its seeks high compression ratios and high image fidelity. Applications can select from a broad range of compression ratios, trading off image quality for higher compression to meet the specific needs of an application. No restrictions are made on the image contents, e.g., complexity or range of colors, or characteristics, such as resolution. A manageable computational complexity allows for reasonable software implementations and fast hardware implementations. A lossless encoding mode provides for exact image reproduction. A sequential encoding mode provides for image reproduction using multiple passes through the data, where the image is initially blurry and each pass through the data adds further clarity to the image. And a hierarchical encoding mode is provided for image reproduction using a sequence of frames, each at different resolutions.
Other prior art data compression methods exist and some are in wide use. However, all leave the user wanting higher levels of compression with lower losses occuring in such compression. No conventional compression method has thus far proven totally satisfactory, even in particular applications.
An object of the present invention is to provide a method for starting with a data file to compress and finding the roots of the polynomial, assuming such a polynomial exists, that will generate the same data file in a reconstruction either exactly or within some threshold of error.
Briefly, a method embodiment of the present invention compresses data for storage or transmission. For a data file of pixel values organized as an n�n grid of pixels, the data file of pixel values, or any computer data file, may be compressed by the method of the present invention. Letting G be an n�n grid superimposed on the complex plane, and P, an m degree polynomial. Letting A be a function of the first derivative of P, and letting B be a function of the second derivative of P. And further letting C(i) be a map to a unique color for each root of P, where 1≦i≦m. A and B are then iteratively solved for each z in G. The solution ultimately converges within some epsilon of one of the roots of P. When z converges to root i, C(i) is assigned to z. P, A and B can be defined for any m numbers in the complex plane and color function C to generate a data file of pixel values encoded by m complex numbers.
An advantage of the present invention is that a method for compressing data is provided.
Another advantage of the present invention is that a method of compressing data with few losses and high compression ratios is provided.
FIG. 1 is a flowchart of an equational data file compression method embodiment of the present invention for data compression;
FIG. 2 shows a more detailed flowchart of the method of FIG. 1;
FIG. 3 is a flowchart for a generic search method useful in the method of FIG. 2; and
FIG. 4 is a flowchart of a generating method useful in the method of FIGS. 2 and 3.
FIG. 1 illustrates an equational data compression (EDC) method embodiment of the present invention for compressing and decompressing data, and is referred to herein by the general reference numeral 10. The EDC method 10 comprises a compression step 12, a transmission step 14, and a decompression step 16. The compression step 12 takes the data file F and returns a data file F'. The file F is a file of values whose type depends on the data medium. For example, if the file F is a text file, then the values might be octal numbers such that F(i) encodes the i-th character of the text. If the file F is an image file file, then the values might be eight-bit binary numbers such that F(i) encodes the color of the i-th pixel of the data file. The compression step 12 reduces the size of the data file to minimize the amount of data that needs to be transmitted or stored by the transmission step 14.
The transmission step 14 either transmits or stores the data file F'. The transmission or storage of data is assumed here to be without error. Any of a number of conventional methods may be used to detect and/or correct errors due to faulty transmission or storage.
The decompression step 16 inputs the data file F' and outputs the data file F". It uses an inverse method to that used by the compression step 12 to uncompress the data. Where file F" equals file F, then the compression method was lossless. Otherwise, the compression resulted in data loss. The extent to which the compression method is lossy depends on the methods used steps 12 and 16.
FIG. 2 illustrates the EDC method 10 in greater detail. A simplify step 20, a search step 22, and a compress step 24 are equivalent to the compression step 12 of FIG. 1. A transmission step 26 is equivalent to the transmission step 14 of FIG. 1. A generating step 28, a decompression step 30, and a correction step 32 are equivalent to the decompression step 16 in FIG. 1. The simplify step 20 takes the data file F and returns a simplified data file F'. This step may or may not be empty. The form of the simplification is data dependent and the degree of simplification depends on the amount of loss information tolerable by the sender and receiver. For example, this step might reduce the number of colors in a data file file from a maximum of 256 to twenty six by dividing each value in the file F by 10. The search step 22 takes the data file F' and returns two outputs, C and E. Output C is a set of tuples {z, v}, such that z is a complex number, and v is a value in F'. The search step 22 uses a search heuristic to find C such that G(C,i)=F'(i). Since it is unlikely that the search heuristic will return a set of numbers that regenerates F' without loss, the step returns an error file E. The tuple {i, y} is in E if and only if G(C,i)≠F'(i) and F'(i)=y. A conventional genetic algorithm is used to find C, however, practically any search algorithm can be used. The compression step 24 compresses the file E, e.g., using any conventional lossless compression algorithm. Its output is the data file E'. The transmission step 26 either electronically transmits or stores C and E', e.g., across the Internet or into a hard disk file. Such transmission or storage of the data is assumed here to be without error. The generating step 28 implements the generation of an algorithm G, described in connection with FIG. 4. The generating step 28 inputs a set of complex numbers C and returns the data file F". The decompression step 30 uncompresses the data file E' to regenerate a data file E without loss. The correction step 32 inputs files F" and E, and returns a data file F'. For each tuple {i, y} in E, the box sets the value of F"(i) to y.
The search step 22 of FIG. 2 searches the complex plane for a set of tuples {z, v} such that a generate method can return a file F" as close as possible to F'. Any discrepancy between F" and F' is returned in E. The particular search algorithm used is not important. A genetic algorithm whose gross structure is shown in FIG. 3 has been used successfully. The particular mating, mutation, and replacement method used is beyond the scope of this description. Possible choices of methods are well documented in the literature.
FIG. 3 illustrates a generic search method 40. A step 42 generates a population of possible solutions, e.g., it generates two or more possible values for C. Each value is referred to as an individual of the population. A step 44 mates the individuals of the population and thus generates a set of new individuals. As in nature, the method tends to preserve the best characteristics of the population and to eliminate the worse characteristics. Over the generations, the population includes fitter and fitter individuals, e.g., better and better solutions to the search problem. Typically, the methods implemented by steps 50 and 52 of FIG. 3 are used to evaluate the fitness of individuals. A step 46 mutates selected individuals. Mutations or random changes to the data are necessary to prevent the method from converging to at a local maximum. A step 48 replaces individuals from the previous generation with those born and mutated by steps 44 and 46, respectively. An output of step 48 is the next population of individuals. A step 50 generates a data file for each individual in P. The set of data files is G. The step 50 is equivalent to step 28 of FIG. 2. A step 52 calculates the error between F' and each data file generated by step 50. A typical error function is the sum of diff(i), where diff(i) is 1 if the two files have different values at position i, else 0. Step 52 returns the smallest error value computed (e), the individual that generated the smallest error value (C), and a file of the differences between that individual and F' (E). A step 54 compares the error value with some threshold value. If the comparison is true, then the search terminates and C and E are returned; else, the new population and control are passed back to step 44.
The generation step 28 of FIG. 2 generates the file F" of n values, 1≦i≦n, from C. Letting P be a m-th degree complex polynomial whose roots rj, 1≦j≦m, m complex numbers in C, and letting T be a function that transforms integers to complex numbers, then for each integer i, 1≦i ≦n, step 28 executes the data flow shown in FIG. 4. The inputs to the generating step 28 of FIG. 2 are assumed to be available to all the steps in FIG. 4, and so we do not explicitly show their edges.
FIG. 4 illustrates a generating method 60. A step 62 applies a transform function T to i and returns z. The appropriate transform function to use depends on the type of the data file. For example, if the data file is a 2-D data file of size n by n, then T(i) might return the complex number {(i div n)/n, (i mod n)/n}. A step 64 computes P(z). If the computed value is less than some small value, then the step returns yes. Otherwise, the step 64 returns no. If the step 64 returns no, then control is passed to a step 66 that computes the displayed expression returning two complex values, a+ and a-. A step 68 passes the value with the smallest absolute value to a step 70 that decrements z by this value. The decremented value and control back are passed back to the step 64. If the step 64 returns yes, then control is passed to a step 72 that searches C, and returns the value associated with the complex number in C closest to z. The iterative computation of FIG. 4 terminates when z is within epsilon of some root of P.
An equational data compression (EDC) method of the present invention reverses the creation data files that used an iterative root finding method. Data files can be created using this method, and equations which closely approximates a given data file can also be found.
An iterative root finding method, developed by one of the present inventors, Thomas Kraay, starts with a complex function, P, with m complex roots and an arbitrary initial guess z, in the complex plane, the iterative root finding method converges unexpectedly fast to one of the function's roots, usually in two to four iterations. The method has converged over ten million times to within 10-6 of a root value.
The iterative root finding method, e.g., illustrated in FIG. 4, can be described mathematically, as follows:
Let P(z) be a known polynomial with unknown roots r1, . . . , rm. Then, ##EQU1## For zε{r1, . . . , rm }, take the natural log of both sides to get, ##EQU2## Taking the derivative of both sides, ##EQU3## Now taking the derivative of g(z) with respect to z, provides, ##EQU4##
Given a complex number z, the values of g(z) and h(z) can be calculated. Let rj represent some root of P(x), and define the value a such that,
a=z-rj. (eq. 3)
The equations (1) and (2) can be rewritten, ##EQU5## There exists a complex number b such that, ##EQU6## Let ε be the complex number, such that, ##EQU7## For m>2, discarding ε introduces error, but gives, ##EQU8## There are two equations (1b) and (2b) in two unknowns (a and b). It can be shown that, ##EQU9## Which is equivalent to the step 66. To aid in convergence, a is assigned the value of smaller magnitude, ##EQU10## Which is equivalent to the step 68. By equation (3), rj =z-a is a root of the equation. However, having discarded e this equality no longer holds. z-a now only approximates rj.
Given an initial guess z, P(Z) is calculated. If the absolute value is greater than ε, a is calculated letting z=z-a, e.g., step 70. Repeating this process, as in the step 64, until the absolute value of P(z) is less than ε, a root of the polynomial is converged within ε.
The iterative root finding method is used to generate data files. A file of size n, 0≦i≦n-1 is created, using the iterative root finding method. Let P(Z) be a polynomial with roots r1, . . . , rm and let v1, . . . , vm be a set of m values. Start by defining a transformation function from integers to points in the complex plane. Letting n=W*H, then T(i), 0≦i≦n-1, returns the complex number, ##EQU11## Which is equivalent to the step 62.
Using z as an initial guess, the iterative method is used to calculate a root of P(z). As in the step 72, if the i-th root is returned, then the value vi is assigned to the i-th datum in the file. The resulting file of values is referred to as a root generated data file (RGDF) and the procedure is called a generation process. For example, to create a data file data file of 40,000 pixels. Let W=200, H=200, r1 =0.0+0.0i, v1 =blue, r2 =0.75+0.75i, v2 =green, r3 =0.8-0.15i, v3 =gray, r4 =1.5-0.50i, and v4 =purple. Then, the RGDF created corresponds to a particular data file. Such file is uniquely encoded by the four root-value pairs used to create it.
The generation process can be reverse engineered. Since EDC is given a data file F of size n, 0≦i≦n-1, with m unique values, the m complex numbers can be found such that the RGDF returned by the generation process is equivalent to F. Although reversing the mathematical formulations might appear impossible, an attractive solution method is the use of general purpose search methods. The problem can be viewed as a search for m points in the complex plane, where the optimality of a set of m points is defined by a fitness function. The current embodiments use a genetic algorithm to search for the m points, e.g., as in FIG. 3.
Genetic algorithms are search algorithms that depend on an imitation of nature and use the mechanics of natural selection and natural genetics. The object is to improve a set of initial solutions, referred to as a "population" of individuals, using "recombination" and "mutation" of their "genetic material". The method combines survival of the fittest among solutions with a structured and randomized information exchange.
Each "generation" creates new solutions that replace old and ineffective solutions in the population. A solution's probability of recombination is directly proportional to its fitness. Only the most effective solutions survive. The selection of solutions for recombination and mutation, as well as the replacement of solutions in the population are driven by genetic operators controlled by probability.
Genetic algorithms can work with several solutions at the same time, improving the solutions in each generation, while simultaneously exploring new solutions in the search space. Genetic algorithms are also easily adapted to a variety of problems requiring adjustments to only the representation of solutions and the fitness function. Because the objective function used to measure fitness is the only information used to guide the search, no auxiliary or derivative information is required.
A simple genetic algorithm (SGA) is described with the aid of the pseudo code of Table I. A solution consists of one, or occasionally more, bit-encoded strings, or chromosomes. Each bit's position is its locus and the value of the bits are its allele (0 or 1 for binary strings). For simplicity, unless otherwise stated, we assume a single chromosome per individual and binary alleles.
TABLE I______________________________________randomly create and evaluate an initial population of size nfor gen = 1 to MAX-- GENcreate a mating pool selecting individuals from thepopulation using fitness proportionate selectionform n/2 pairs from the mating pool and performcrossover and mutationreplace current generation with offspringsevaluate the fitness of the new populationend foroutput fittest individual as the solution______________________________________
The first generation of a genetic algorithm consists of individuals whose chromosomes are randomly constructed, e.g., step 42. Assuming that genes may be one of two values, either 0 or 1, and letting P1 be the probability that a given gene will have the value 1. Each gene of each chromosome in the initial population can be assigned a value 1, with probability P1, or a value of 0, with probability P0 =1-P1.
Once the procedure has defined all genes of a chromosome, it then applies the fitness function to determine the chromosome's fitness value. Once the procedure has created an initial population and determined the fitness of each individual, it then creates the next generation.
For successive generations, several mate selection, mating, and replacement are used. The process is continued for an indicated number of generations, or until some other terminating condition is encountered.
As the step 44 illustrates, mate selection selects n individuals to parent offspring in the next generation. The selected individuals create a mating pool. Such individuals are chosen according to their fitness values. On average, those with higher fitness values are selected more often than those with lower fitness values. More exactly, the probability that the algorithm selects individual Ii with fitness Fi is, ##EQU12##
This method, known as fitness proportionate reproduction (FPR) selection, is an artificial version of natural selection, a Darwinian "survival of the fittest" among individuals.
Table II represents a sample population of four individuals, their fitness values and selection probabilities, and the results of mate selection. In this example, the string is a binary number and the fitness function is f(x)=x2.
TABLE II______________________________________INDIVIDUAL FITNESS SEL. PROB.i Ii Fi Pi Mating Pool______________________________________1 10011 361 0.310 110012 00110 36 0.031 100113 01100 144 0.123 011004 11001 625 0.536 11011Total 1166 1.000______________________________________
Once the mate selection is complete, the members of the mating pool are randomly divided into pairs for mating. Their chromosomes are manipulated by crossover and mutation with probability Px and Pm, respectively.
During the crossover operation, a crossover site, a position between the individuals' genes, is selected at random. The alleles to the right of the crossover site are then swapped between the pair, as in Table III.
As in step 46, when Px <1.0, some pairs may not undergo the crossover operation, but all pairs are subject to mutation. The mutation operation considers each allele in every individual, and changes its value with probability Pm. When an allele is mutated, its value changes from 0 to 1 or 1 to 0. This operation allows the algorithm to recover genetic material which has been lost and to introduce new genetic material.
Table IV illustrates a full reproduction phase for Px =0.667 and Pm
The step 48 includes a steady state genetic algorithm (SSGA) that is a variant of the SGA. In the SSGA, only a subset of individuals in a population, e.g., a "generation gap", are replaced in every generation. The size of the generation gap, G, is usually expressed as a fraction of the overall population size. Thus, if n is the population size, the number of individual to be replaced each generation is G*n. A commonly chosen value for G is 2/n. Only one pair is chosen to mate, and their offspring replace two individuals in the population. When G=1.0, the algorithm replaces all individuals, as is equivalent to the SGA. With G<1.0, a replacement rule is need to decide which individuals should perish to make room for the new offspring. Such individuals could be those with the lowest fitnesses. In inverse ranking, the individuals are ranked according to their fitnesses. Each individual is considered, starting with the least fit, and individuals are eliminated with probability greater than 1/n until only two individuals remain.
SSGA thus imitates nature more accurately than the SGA, but has several drawbacks. Because low fitness individuals are quickly dismissed, the fitter individuals tend to dominate faster, leading to a greater possibility premature convergence. Also, the SSGA is not easily parallelizable, depending on the size of G. If G=2/n, there is no parallelism.
A variation of the SGA with linear fitness scaling has been used with success in embodiments of the present invention. The deviation from ordinary SGA involves the encoding of the problem and the manipulation of roots. Various methods have been attempted, e.g., in the initial population generation and root mutation.
The data file to compress is defined here as the target file. The target file is compressed and encoded with method embodiments of the present invention.
For encoding, an individual is comprised of a chromosome with N binary alleles, and N complex numbers and values, one for each locus in the chromosome. Table V represents an individual in this encoding.
TABLE V______________________________________allele 0 complex # 0 value 0allele 1 complex # 1 value 1allele 2 complex # 2 value 2. . . . . .allele N-1 complex # N-1 value N-1______________________________________
A complex number is active if its corresponding allele in the chromosome is one. The roots of the polynomial associated with the individual are the active complex numbers. Thus, the degree of this polynomial is exactly the number of ones in the chromosome.
Table VI represents a polynomial associated with a sample individual.
TABLE VI______________________________________0 5.0 + 3.2i blue1 3.3 - 1.6i red1 -2.4 + 10.0i grey0 4.1 - 5.9i purple1 -0.1 - 1.7i green______________________________________ P(z) = z - (3.3 - 1.6i)! z - (-2.4 + 10.0i)! z - (-0.1 - 1.7i)!-
For the initial population, the value of each allele in each chromosomes in the initial population is randomly chosen 0 or 1, with equal probability. The complex numbers corresponding to each locus are chosen by creating a vector of random angle and random length (less than some value, L), transforming it to the form x+iy, and adding it to C, a complex number in the middle of the frame in the complex plane into which pixel locations are translated. Each locus of each chromosome in the population is assigned its own randomly generated root. Values are assigned randomly with equal probability.
For successive generations, mate selection, crossover, and mutation are conventional, except for a few points. No replacement policy is needed since as we use the SGA model. The triplet of allele, root, and color always stay together. Thus, when a crossover occurs, the roots and colors corresponding to each moved allele are also moved. The changing of the value of a root is also different. Like mutation of alleles, each root is considered for adjustment every generation. Adjustment occurs with small probability. When a root is adjusted, it is moved a random distance, e.g., less than some variable length, in the direction of a random angle.
The fitness measurement depends on how many values in the generated file match the corresponding value in the target file. The maximum fitness is n. The fittest file, e.g., file C in FIG. 2, to emerge from the genetic algorithm, referred to as the generated file, is most likely not equivalent to the target file. A greedy algorithm is applied to improve the solution and record the error entries in an error file, e.g., file E in FIG. 2.
For data file improvement, once the genetic algorithm converges, the generated file is improved using a greedy algorithm, that systematically adjusts each active root in the following way. An imaginary circle is placed around the root with a random radius. Fitnesses are sampled around the circle to determine the angle we should move the root to maximize fitness. A line is then drawn at this angle, and fitnesses sampled in order to determine the best distance to move the root in this direction. The process is typically repeated until further attempts result in little or no improvement in fitness.
Although particular embodiments of the present invention have been described and illustrated, such is not intended to limit the invention. Modifications and changes will no doubt become apparent to those skilled in the art, and it is intended that the invention only be limited by the scope of the appended claims.
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|U.S. Classification
|382/232, 706/13, 382/249
|International Classification
|Cooperative Classification
|European Classification
|Apr 16, 1996
Owner name: CALIFORNIA, THE UNIVERSITY OF, REGENTS OF, THE, CA
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|Expired due to failure to pay maintenance fee
Effective date: 20060210


text:
The High Arcal School Promotional Video
Please Click Here to view
Please Click Here to view the latest Ofsted Report
Upcoming Event
Year 11 Prom – Tuesday 20th May.
Latest Videos
Charity Concert
Dance Festival 2016
High Arcal Bake-Off
E-Safety Announcement
1) Watch your back – Whenever you're about to post something online, pause and just imagine someone in authority, someone you respect, reading that post or looking at that photo. If that feels uncomfortable, don't do it.
2) Got a nickname? – Think about using a nickname instead of your real name if you're signing up to a micro blogging site like Twitter. Consider setting up a separate, personal email account to use with social media sites, rather than using your work, or even your main personal email. Remember, only connect to people you know.
3) Check your settings – Use the privacy and security settings on social media sites so that only friends and family can see your pages. Then speak to friends and family and encourage them to tighten their privacy settings too as they could affect you. Even if your account is locked as private, personal information you have shared with others could still be accessed through their pages.
4) Mother's maiden name – Don't use your mother's real maiden name as a password or as a bank security answer. It doesn't really matter whether you use the real one so make up a name that only you know. Just make sure you remember it.
5) Guard personal information – Don't post any personal information- your address, email address or mobile number – publicly online. Just one piece of personal information could be used by a complete stranger to find out even more. If you want to include your birthday in your profile it's safer not to actually display it publicly – providing your full date of birth makes you more vulnerable to identity fraud
6) Photos and videos – Be careful about which photos and videos you share on social media sites – avoid photos of your home, work, school or places you're associated with. Remember, once you've put a picture of yourself online, other people may be able to see it and download it – it may not just be yours anymore.
7) Check what's needed – Don't give out information online simply because it's asked for – think whether whoever is asking for it, really needs it. When you're filling in forms online, for example to register with a website or sign up for a newsletter, always provide the minimum information possible.
8) Direct message if you can – It's almost always possible to send a direct message or private message on social media platforms. If you're having a personal chat, this is the best option to go for – unless you don't mind sharing your conversation with millions of other users. Alternatively, send an email from a private account.
9) Delete old accounts – If you've stopped using a social media site or forum, then close your account down. There's no point in leaving personal information out there unnecessary.
10) Get anti-virus software – Make sure you have anti-virus software installed on your computer and be careful what you download or install on your computer.
If you have any concerns regarding E-Safety and would like to raise this issue in confidence please email email@example.com
Latest News & Events
High Arcal Summer Concert
The summer concert for 2016 was a huge success, featuring performances from all of our school ensembles plus a special addition from our year 11 students.
Junior jazz band opened the evening with the Frank […]
Trip to the Houses of Parliament
The unfamiliar time of 5 am bustled me, and other weary students, into school, making sure we would arrive at the distant location of London without meeting too much early morning traffic on the […]
The UK Mathematics Challenge!
Last month 50 year 7 and 8 G&T students took part in the UK Mathematics Challenge. The is a national competition involving 25 challenging mathematical problems. Students only achieve a gold, silver or bronze […]
Year 8 English Project
Students in year 8 recently completed the Summer Camp project in their English lessons. This project demanded that they collaborated and shared ideas to design their own Summer Camp! They worked brilliantly to consider […]
Charity Concert a complete success!
The evening of Friday 15th of April saw a high quality and entertaining concert performed by students from The High Arcal School. This was the first ever charity Concert at the school which was […]
High Arcal School Primary CSI day.
On Wednesday the 13th of April, High Arcal were hosts to our very own CSI day. 43 pupils from 6 local primary schools (Hurst Hill, Bramford, Roberts, foxyards, Wrens Nest and Queen Victoria ) […]
Success in the National Concert Festival
On Saturday 9th April members of the concert band took part in The National Festival of the National Concert Band Festival at The Royal Northern College of Music in Manchester. The festival the concert […]
Dance Festival 2016
Dance Festival is an opportunity for all students to take part in a show to gain confidence with their performing skills in front of an audience. Over 100 pupils took part in the show. […]
Geneva Logbook
My journey to Geneva started on the 10th of February where we were ready to board the plane to a location where none of those who were going had ever seen before. We […]
Ski Trip 2016
41 High Arcal students across year groups 8-11 recently took part in a fantastic ski trip to France. All students demonstrated true High Arcal spirit on the trip which was both physically demanding but […]
Latest Events
- May 30, 2016
HALF TERMStarts: May 30, 2016
- June 13, 2016
Rounders and Cricket InterhouseStarts: June 13, 2016
- July 5, 2016
Induction Day 1Starts: July 5, 2016
- July 6, 2016
Induction Day 2Starts: July 6, 2016
- July 7, 2016
Induction Day 3Starts: July 7, 2016
Induction EveningStarts: July 7, 2016
- July 14, 2016
Presentation EveningStarts: July 14, 2016
- July 15, 2016
Sports DayStarts: July 15, 2016
- July 18, 2016
Acivities Week / Work Experience BeginsStarts: July 18, 2016
- July 21, 2016
End of SUMMER TERMStarts: July 21, 2016

subset: commoncrawl


text:
The Missing Women Inquiry report
It's nearly fifteen hundred pages and blames blatant failures on the police. CBC reporter Terry Donnelly gives us the lowdown on the final report from the Missing Women Commission of Inquiry.
Starting soon: To encourage thoughtful and respectful conversations, for all new accounts, first and last names will appear with each submission to CBC/Radio-Canada's online communities (except in children and youth-oriented communities). Pseudonyms will no longer be permitted for existing community members in June.
By submitting a comment, you accept that CBC has the right to reproduce and publish that comment in whole or in part, in any manner CBC chooses. Please note that CBC does not endorse the opinions expressed in comments. Comments on this story are moderated according to our Submission Guidelines. Comments are welcome while open. We reserve the right to close comments at any time.
Note: The CBC does not necessarily endorse any of the views posted. By submitting your comments, you acknowledge that CBC has the right to reproduce, broadcast and publicize those comments or any part thereof in any manner whatsoever. Please note that comments are moderated and published according to our submission guidelines.
Air Times
|CBC Radio One 90.5 FM Victoria
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Newest Hunting Preserves
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German Shorthair 8w, M NAVHDA/AKC s... Calvert Kennels in Lacomb, Oregon
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Banin Upland Game Farm - Ontario Chukar Hunting, Pheasant Hunting, Quail Hunting Preserves
Is your bird hunting preserve listed? Add your preserve today!
About Banin Upland Game Farm
A very traditional hunt under rough but not tough conditions. This would be what the European traditionalists would call a rough shoot, over fields that were once farm land but have been out of production for 20 or more years. The fields are very open with shrubs and brush growing throughout providing cover for birds the original grouse and the pheasant or chukar from the Game Farm. We are located 50 minutes west of Ottawa Ontario.
Bird Hunting Available
Chukar Hunting
Pheasant Hunting
Quail Hunting
Banin Upland Game Farm Contact Info
Edmond or Vera Hassett
Clayton, Ontario
613-256-6728Send Email to Banin Upland Game FarmClick here to visit website
Testimonials (1)
Submitted by: Patrick Phillips on Dec 16, 2013I have hunted there a couple of times and it was a blast. I bought a few dogs there and they are all what they are made up to be. I would recommend this hunt. Ed and Vera are very nice people and strive to make you hunt rewarding.


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Canon has introduced the refined and upgraded handheld XH A1S and XH G1S HD camcorders.
Both camcorders incorporate enhanced features for improved operation, including greater image control and improved audio capabilities. The new Canon XH A1S and XH G1S HD camcorders record on HDV tape.
The Canon XH A1S and XH G1S include a Canon 20X HD video lens, offering manual zoom and focus, and can operate simultaneously in either manual or autofocus mode. The three independent manual adjustment rings (focus, zoom and iris) have been redesigned for easy access and comfortable operation.
Other features include three sensitivity settings for the manual focus ring, normal, fast and slow zoom speeds; smooth movement when starting or stopping zooms; and selectable rotational angles between the tele and wide ends of the lens zoom.
Red Bull, GoPro Partnership Centers Around Content
Guest Blog: Google's Plan to Destroy Local TV
Syndication Ratings: 'Live' Rises on Strahan's Exit
YouTube Upgrades E3 Hub
Senate Pushed to Pass Clean ECPA Reform Bill
House Members Form IoT Working Group
Whisper Films on the starting grid
La Liga going Facebook Live
All3Media invests in Caravan
Watch an Intro to Codecs
Maria Bamford Finds the Funny in a Mental Breakdown with 'Lady Dynamite'
Nexto DI NSB-25 Simplifies Storage for Director/DP


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Bar Work Jobs in Leeds
Immediate Start Bar Work Leeds
Ruella James - Leeds, West Yorkshire
Our client are a leading executive search and selection recruitment consultancy specialising in the Consumer/FMCG, Retail & Medical sectors. Their ever growing client list includes many brand leading FMCG... 20000.00
from: reed.co.uk - 7 days ago
Search Consultancy - Leeds, West Yorkshire, Yorkshire
In addition to a very competitive salary, you will be given the autonomy to create a world class business. You will be given a platform on which to shine and also have your skills sharpened and developed...
from: caterer.com (+2 sources) - 12 days ago
c2b Recruitment - Leeds, West Yorkshire, Yorkshire
· Financially literate and used to work towards KPI's and set targets, Able to forecast and budget effectively · Will be managing a team of 30-40 staff, fully responsible for Front and Back of House and... From £34,000 to £38,000 per annum Alastair
from: caterer.com - 12 days ago
TGM Consulting Ltd - Leeds, West Yorkshire, Yorkshire
Our client is currently looking for SMSTS Site Managers with shopfitting/interior fitout experience to work on projects Nationwide. Work will include – Working with the contract team to ensure the project... From £20 to £26 per hour
from: totaljobs.com (+1 source) - 13 days ago
Leeds, West Yorkshire, Yorkshire
The Head Chef role involves managing all aspects of the kitchen; managing and achieving financial targets, creating exciting menus within a framework which meets our customer expectations. The successful...
from: caterer.com - 14 days ago
Search Consultancy - Leeds, West Yorkshire
We need people with an understanding and a passion for the hospitality industry or a competitive recruitment market understanding covering hospitality from hotels and restaurants to leisure, pubs, bars...
from: reed.co.uk (+2 sources) - 14 days ago
Mccarthy Recruitment Ltd - Leeds, West Yorkshire
Our client is the leader in their sector, with a great brand awareness and an even better product! Their presence in the UK retail market has grown considerably and continues to do so. They are a people... 45000.00
from: reed.co.uk (+2 sources) - 9 days ago
Mint Group - Leeds, Yorkshire
Whether you're looking for extra cash, an exciting new experience or a boost in your career, we have a role for you; apply today and we'll get back to you with more information about this exciting new... 6.50 - 9.50 per hour
from: Directgov - 8 days ago
John Q. Hammons - Leeds
Whilst wed love to hear from you if you have worked in a similar position before, wed also like to hear from you if youve just left school, college or university or youre inspired to join the hospitality...
from: glassdoor.com - 22 days ago
Capita - Leeds, West Yorkshire
You will be joining Capita Customer Management, a leading name in its market sector. We're trusted to run customer service operations for many leading organisations, including Samsung. Our Leeds based... 15697.00
from: reed.co.uk (+3 sources) - 9 days ago


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AALARM sparks national grassroots movement
By Jay Rogers
Published February 2, 1992
CAMBRIDGE, MA (FR) – Adam Webb and Ken DeGiorgio, co-founders of AALARM (Association Against Learning in the Absence of Religion and Morality) at Harvard University have sparked interest in their group among students throughout America. A national resurgence of students dedicated to reclaiming traditional American and Christian values is behind this network.
"This is really a grassroots network," says DeGiorgio, "We have no national headquarters or anything like that. It's very democratic."
Spurred on by stories of AALARM's controversial outspokenness on issues ranging from abortion, homosexual politics, and politically correct thinking, other students at Columbia, Yale, Stanford, UMass/Amherst, and the University of Tennessee have also formed AALARM chapters. "Some are really active, others are just getting started," said DeGiorgio. The AALARM chapter at Harvard was begun in the Spring of 1990, and has since been the subject of several nationally circulated news articles.
University students may obtain more information in forming an AALARM chapter by writing: AALARM, Winthrop House, Box 205, 32 Mill Street, Cambridge, MA, 02138
Forerunner - Home » The Forerunner Newspaper » On Campus
Your comments are welcome!
A Revival Account: Asbury 1970 (DVD)
What is true Revival and Spiritual Awakening?
Discover the answer in this eyewitness account by Dennis Kinlaw, President of Asbury College, Wilmore, Kentucky, who recounts the story of a visitation of the Holy Spirit in 1970. This is the presentation that has continued to spark the flames of Revival in the hearts of people around the world. Contains eyewitness footage from the Revival at Asbury College in 1970 in Wilmore, Kentucky.
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Running Time: 40 minutes
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Dr. Francis Schaeffer - How Should We Then Live? (DVD)
Special Two-Disc Set!
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Available for the first time on DVD, this documentary spectacular also includes intimate in-depth conversations with Francis and Edith Schaeffer. With the on-disc study guide, this presentation forms a unique course of comprehensive study. While this series forms an innovative analysis of the past, this outstanding work is more than history. Each episode focuses on a significant era, yet speaks clearly to 21st-century man with answers for modern problems.
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Massacre of Innocence (DVD)
Exposing The Occult Roots of Abortion
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Massacre of Innocence goes where no pro-life presentation has gone before in "tearing the lid off abortion" to reveal the spiritual realities we must battle if we will bring an end to this crime. The presentation is absorbing, fast-paced, informative and incredibly devastating to any attempt to justify abortion.
"… an extraordinary statement … a powerfully articulate presentation about what abortion really means, and why a great and moral nation like the United States must not allow the slaughter to continue."
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Running time: 85 minutes
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God's Law and Society (DVD)
Download the Free Study Guide!
God's Law and Society powerfully presents a comprehensive worldview based upon the ethical system found in the Law of God.
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Sixteen Christian leaders and scholars answer some of the most common questions and misconceptions related to this volatile issue:
1. Are we under Law or under Grace?
2. Does the Old Testament Law apply today?
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5. Was America founded as a Christian nation?
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Frank Schaeffer Will You Please Shut Up! (Book)
High Quality Paperback — 200 pages
A Reasonable Response to Christian Postmodernism
Includes a response to the book Christian Jihad by Colonel V. Doner
The title of this book is a misnomer. In reality, I am not trying to get anyone to shut up, but rather to provoke a discussion. This book is a warning about the philosophy of "Christian postmodernism" and the threat that it poses not only to Christian orthodoxy, but to the peace and prosperity our culture as well. The purpose is to equip the reader with some basic principles that can be used to refute their arguments.
Part 1 is a response to some of the recent writings by Frank Schaeffer, the son of the late Francis Schaeffer. This was originally written as a defense against Frank's attacks on pro-life street activism – a movement that his father helped bring into being through his books, A Christian Manifesto, How Should We Then Live? and Whatever Happened to the Human Race? These works have impacted literally hundreds of thousands of Christian activists.
Part 2 is a response to Colonel Doner and his book, Christian Jihad: Neo-Fundamentalists and the Polarization of America. Doner was one of the key architects of the Christian Right that emerged in the 1980s, who now represents the disillusionment and defection many Christian activists experienced in the 1990s and 2000s. There is still great hope for America to be reformed according to biblical principles. As a new generation is emerging, it is important to recognize the mistakes that Christian activists have made in the past even while holding to a vision for the future.
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Native Plants
Q. Who is Mr. Smarty Plants?
A: There are those who suspect Wildflower Center volunteers are the culpable and capable culprits. Yet, others think staff members play some, albeit small, role. You can torture us with your plant questions, but we will never reveal the Green Guru's secret identity.
Did you know you can access the Native Plant Information Network with your web-enabled smartphone?
Ask Mr. Smarty Plants is a free service provided by the staff and volunteers at the Lady Bird Johnson Wildflower Center.
rate this answer
Wednesday - May 26, 2010
From: Austin, TX
Region: Southeast
Topic: Edible Plants
Title: Is Texas Thistle edible from Austin
Answered by: Barbara Medford
QUESTION:Is Texas Thistle an edible plant?
See this excerpt from Edible and Useful Plants of Texas by Delena Tull. See Bibliography below. Our answer to this question would have been, "Yes, if you are a bumblebee, turkey or goldfinch." However, according to this book, "thistles provide one of the best salad greens and cooked vegetables in the state." If you're really hungry.
From our Native Plant Image Gallery:
More Edible Plants Questions
Are wild sweet peas edible?
August 05, 2010 - Are wild sweet peas edible? Thanks.
view the full question and answer
What is a groundnut? from River Vale NJ
July 11, 2009 - I just read the book "Mayflower" which talks about the Massachusetts natives and, subsequently, the Pilgrims eating groundnuts; mentions the groundnuts going to seed in early summer. What are ...
view the full question and answer
Planting fruit and nut trees in Archer, FL.
January 26, 2012 - We're looking to plant a few fruit and nut trees in Archer, Florida. We've been thinking about figs, apples, peaches, oranges, plums, and whatever nuts grow best here (looks like almonds and pecan...
view the full question and answer
Rust on Blackberry
April 17, 2015 - I have two new blackberry bushes that I planted fall 2014. Only weeks after I planted the plant began to have rust color balls under the leaves then leaves began to die and fall off. When I returned t...
view the full question and answer
Gardening books for Austin and Central Texas
June 09, 2008 - Hi, I'm looking for a book for my wife. She is a beginning gardener here in Austin. Do you know of an ideal book or two that covers vegetable gardening and gardening in general in Austin/Central Tex...
view the full question and answer
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text:
Job Details
Preventive Health
Vancouver , WA
Contact Information:
Person: Anna Bityukov
Email: ****
Download Documents:
Sea Mar Job Application
Nutrition Assistant Certifier I #10962
About the Job
Full-time position available with the Clark County WIC Nutrition Program (4 days per week at Battle Ground WIC site; one day per week at Vancouver WIC site). Position will be responsible for client enrollments, orientations, voucher delivery and maintaining client files. Position identifies and makes nutrition and other health-related referrals, performs client risk assessments and provides basic nutrition education in individual and group settings. Applicant must be able to travel to several locations in Clark County including Vancouver, Battle Ground and Washougal.
Required Qualifications
Valid state Drivers License is required, and applicant must have access to an insured vehicle. High School diploma or GED required. Experience with the WIC program and/or interest in nutrition is highly desirable. Excellent customer service skills and excellent verbal and written communication skills are required for this position. This position requires certification in interpretation for American Sign Language.
Company info


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text:
A biometric anti-theft driver's seat, which uses the shape of a back side to identify a car's owner, has been developed by engineers at the Tokyo's Advanced Institute of Industrial Technology (aiit.
What does AIIT stand for?
AIIT stands for Advanced Institute of Industrial Technology (Japan)
This definition appears very rarely and is found in the following Acronym Finder categories:
- Organizations, NGOs, schools, universities, etc.
- Business, finance, etc.
See other definitions of AIIT
Other Resources:
We have 4 other meanings of AIIT in our Acronym Attic
- Abbreviation Database Surfer
- « Previous
- Next »
- Ameritec Information Industry Services
- Anterior Inferior Iliac Spine
- Artificial Intelligence Software Agent
- Automated Information Infrastructure System
- Automated Issue Identification System
- Association des Infirmiers de Soins à Domicile
- Artificial Intelligence Interface Standards Committee
- Angel Island Immigration Station Foundation (California)
- All India Institute of Speech and Hearing (Myore, India)
- Association des Infirmières et Infirmiers de Salle d'Opération du Canada (Operating Room Nurses Association of Canada)
- American International Investors Trust (now Investors Trust Assurance SPC)
- Amity Institute of Information Technology (India)
- Ancient India and Iran Trust (independent charity; est. 1978)
- Anglo-Indians In Touch (newsletter)
- Arabic Islamic Institute in Tokyo (Tokyo, Japan)
- Australian Institute of Interpreters and Translators Inc.
- American Indian Inter-Tribal Cultural Organization, Inc.
- American Indians in Unity (St. Paul, MN)
- Australian Institute of International Understanding
- Aaron in Japan (website)


text:
< 1k
in the U.S.
since 1880
- Gender: Girl
- #58861 All Time
Pronunciation of Oramae
How popular is the name "Oramae" in the U.S.?
|Total Babies Born
|Girls Born
|Boys Born
Want to know about the populiarty of Oramae? From 1880 to 2014, the Social Security Administration has recorded 21 babies born with the name Oramae in the United States. The name was first given to 5 or more babies in the year 1916 when it was given to 10 new born babies. The highest recorded use of the name "Oramae" was in 1916 with a total of 10 babies.
What does the name "Oramae" mean?
O is for outlook, pleasing to all.
R is for realist, the way you are.
A is for agreeable, the best side of you!
M is for mystery, the part of you that cannot be explained.
A is for acquaintance, the many friends you know.
E is for enjoy, your life can be fun!
Your name in reverse order is "Eamaro". A random rearrangement of the letters in your name (anagram) will give "Armeao". How do you pronounce that?
Now try the names of everyone you know including friends, cousins, neighbors, classmates, co-workers or your pets. Even your favorite anime, TV or movie characters! See what their names mean. Remember, this is purely just for fun.
Past life for Oramae born Nov 7, 1985
I do not know how you feel about it, but you were a male in your last earthly incarnation. You were born somewhere around the territory of Ontario approximately on 950. Your profession was entertainer, musician, poet, and temple-dancer.
You always liked to travel, to investigate, could have been detective or spy. You should develop your talent for love, happiness and enthusiasm and to distribute these feelings to all people.
Name poster for Oramae
(click to save the high quality version)
Here's something for you to ponder on...
Do the Name Game - Acrostic Challenge - This game is very simple to play. All you have to do is think of another name to spell out each letter of your name.


text:
Featured Add-ons
by Mozilla
About this Collection
143 Add-ons in this Collection
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1,143,444 users
Finally, an efficient blocker. Easy on CPU and memory.
Greasemonkey by Anthony Lieuallen, Aaron Boodman, others
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Customize the way a web page displays or behaves, by using small bits of JavaScript.
Download YouTube Videos as MP4 by ialc
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An extension that adds direct links to download YouTube videos as MP4 and FLV. It has a simple interface and it downloads videos directly from YouTube. The extension integrates with YouTube's interface and adds a download button below the player.
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The first and only download manager/accelerator built inside Firefox!
NoScript Security Suite by Giorgio Maone
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The best security you can get in a web browser!
Allow active content to run only from sites you trust, and protect yourself against XSS and Clickjacking attacks.
Ghostery by Ghostery
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Enjoy a faster, safer and cleaner browsing experience.
iMacros for Firefox by Ipswitch
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Automate Firefox. Record and replay repetitive tasks. If you're tired of manually visiting the same sites, filling out forms, downloading files and extracting data, then iMacros is for you! Save time, effort and money with iMacros browser automation!
Adblock Plus Pop-up Addon by Jesse Hakanen
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Adblock Plus Pop-up Addon extends the blocking functionality of Adblock Plus to those annoying pop-up windows that open on mouse clicks and other user actions.
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Google Translator for Firefox by nobzol
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With this addon you can translate any text to your own language with one click or hot-key. You can either translate the selected text, this way the translated text will overwrite the original selected text, or you can translate the full page too.
Web of Trust, WOT: Website Reputation Ratings by WOT Services
939,794 users
Find out which websites you can trust. WOT adds intuitive traffic light-style icons next to search results and URLs so you can decide whether to visit a site:
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Google Translate, ImTranslator, Dictionary, TTS by Smart Link Corporation
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ImTranslator translates text, words, webpages between more than 90 languages.
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What are Collections?
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To create your own collections, you must have a Mozilla Add-ons account.


text:
"Er - shall I make a cup of tea?" said Ron.
Harry stared at him.
"It's what my mum does whenever someone's upset," Ron muttered, shrugging.
{from Harry Potter and the Prisoner of Azkaban by JK Rowling}
Tea is my comfort food. It warms me from the inside out when I'm cold - washes down stress and sorrow - nourishes my need for ritual - forces me to slow down as I wait for water to boil and leaves to steep - gives me an excuse to invite a friend over - and something to do when there's an awkward lull in a conversation.
There's so much lore and history, art and science, surrounding it - no matter the mood or situation, a cup of tea is always appropriate (to me). I put a lot of effort into constructing a "tea station" in our new house, practically framing it with a bright yellowy green wall, because something so important to my heart deserves a special place in my home.
So as I write, I sip, feeling the bite of tannins on my tongue and the weight of great literature in the dregs that swirl in the bottom of my mug. The warmth of inspiration trickles through me as the caffeine alerts my mind to endless possibilities - all from a cup of cheer.
It's Five Minute Friday! Each week a flashmob of bloggers gather, internet wide, to write for five minutes (no stopping, no editing) on a prompt provided by sweet Kate, then link up and share a little comment love. For more info, more posts, and/or to join in, head here!


text:
Video: John David Jackson discusses Kovalev-Ward, state of boxing
Top trainer John David Jackson spoke to RingTV about the stylistic matchup between his star fighter Sergey Kovalev and Andre Ward, as well as boxing politics.
Top trainer John David Jackson spoke to RingTV about the stylistic matchup between his star fighter Sergey Kovalev and Andre Ward, as well as boxing politics.
Promoter Kathy Duva says she asked Sergey Kovalev if he had any concerns fighting in the same venue where an opponent died from a bout and she said he did not.
Light heavyweight titleholder Sergey Kovalev's next fight will be against Isaac Chilemba on July 11 in Ekaterinburg, Russia (a major city near his hometown Kopeysk).
Fans ask why WBC light heavyweight champ Adonis Stevenson hasn't been mentioned as an opponent for Andre Ward, among other boxing quandaries, in this week's Friday mailbag. Enjoy!
Andre Ward spoke to the media about Abel Sanchez, his performance against Sullivan Barrera, and, of course, his anticipated showdown with Sergey Kovalev.
Max Kellerman shares his thoughts on Andre Ward, and says the anticipated Ward-Sergey Kovalev fight is the best matchup that can be made in boxing.
Fans share their thoughts on Andre Ward's decision victory over Sullivan Barrera and what he should do before taking on Sergey Kovalev, as well as other boxing subjects, in this week's Monday mailbag. Enjoy!
Andre Ward made a convincing argument that he's a real 175-pounder with his win over Sullivan Barrera, but far greater challenges lay ahead.
Sergey Kovalev spoke to the media before Andre Ward outpointed Sullivan Barrera. Kovalev predicted Ward would win "easy" and looks forward to their showdown.
Main Event CEO Kathy Duva spoke to RingTV about the rise of Sergey Kovalev and the 175-pound division, and the anticipated showdown with Andre Ward.
When Andre Ward faces Sullivan Barrera on his home turf of Oakland and on HBO, the plan is for Sergey Kovalev to be watching, front row, and scouting out a future foe.
If unbeaten light heavyweight Seanie Monaghan beats Janne Forsman on Saturday (as impressively as he plans), the popular New Yorker wants to test his mettle against unified titleholder Sergey Kovalev.
Where in the world is IBF/WBA/WBO light heavyweight titlist Sergey Kovalev. Why, home in Russia, of course.
Could unbeaten light heavyweight Sullivan Barrera spoil Sergey Kovalev-Andre Ward with a win over Ward on March 26?
According to Main Events' Kathy Duva, despite Adonis Stevenson's cavalier attitude, Sergey Kovalev's side should call the shots regarding a tentative fight.
Fans flocked to the live broadcast of Sergey Kovalev's destruction of Jean Pascal despite the mismatch label heading in.
Fans from around the globe share their thoughts on Sergey Kovalev's second stoppage of Jean Pascal, the Krusher's pending showdown with Andre Ward, and much more in this week's Monday mailbag.
Sergey Kovalev's demolition of Jean Pascal in their rematch Saturday brings him another step closer to a fascinating showdown with Andre Ward.
The Kovalev-Pascal rematch went as most expected and Mikhaylenko-Mayfield was uneventful, however the undercard featured lots of talent and action.
Sergey Kovalev extended his beating of Jean Pascal for seven rounds on Saturday in Montreal until trainer Freddie Roach stepped in to end it.


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Beck, Jordan to wed
Kristina Alyse Beck and Justin Alan Jordan, both of Copley, will be be married Nov. 30, 2013, at St. Hilary Catholic Church in Fairlawn.
Kristina, daughter of Debbie and Joe Beck, of Copley, is a 2009 graduate of St. Vincent-St. Mary High School and earned a bachelor of business management degree from Kent State University in 2012. She is a student at Kent State's Salem Campus in the Diagnostic Medical Sonography Program and is a dance instructor at Jill Royka's Spotlight School of the Arts.
Justin, son of Barbara Dawley, of Rock Hill, S.C., and Scott Jordan, of Newnan, Ga., graduated from Rock Hill High School in 2007. He earned a diploma in collision repair and refinishing from Nashville Auto Diesel College in 2009 and is expected to earn a bachelor of business administration from Kent State University in 2015. He is a surface maintenance military mechanic in the Field Maintenance Shop No. 03 in Cleveland.
The couple were engaged Dec. 31, 2012, in Times Square in New York.
More Entertainment News
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- Mothersbaugh exhibit a lighthearted display of artists world view
- Zenith Awards, golf tournament mark Travel & Tourism Week
- Public invited to take part in BioBlitz
- Medina County historical sites on tour
- Gallery hosts exhibit of APS student art
- Celebrate national parks centennial at CVNP
Calendar of Events
- Adult Ceramics - 5/24/2016
- Akron History: Glendale Cemetery - 5/24/2016
- Cardio Hike - 5/24/2016
- Meet Me in the Garden: Succulent Wreath - 5/25/2016
- A Night at the Museum: Real Women. Real Talk - 5/25/2016
...More Events


text:
|Name: _________________________
|Period: ___________________
This quiz consists of 5 multiple choice and 5 short answer questions through Scene 4.
Multiple Choice Questions
1. Does the messenger identify the shepherd as the man he mentioned earlier?
(a) Yes, the messenger identifies him easily.
(b) No, the messenger doesn't think he's the same man.
(c) No, the messenger knows it's him but won't identify him.
(d) Yes, but the messenger must question the shepherd before being certain.
2. Where does Jocasta say that Laius was murdered?
(a) where the flatlands begin to become steep
(b) where three roads meet
(c) at the kingdom's border
(d) where two roads cross a stream
3. What does Oedipus first say to Creon as he approaches?
(a) He asks who Creon has spoken to.
(b) He asks why Creon is so late.
(c) He asks what message the gods sent.
(d) He asks why Creon looks so strange.
4. Where did Laius order his infant child to be put?
(a) in a river
(b) in a field
(c) in the ocean
(d) on a mountain
5. Who does Teiresias say he serves?
(a) Apollo
(b) Zeus
(c) Oedipus
(d) Creon
Short Answer Questions
1. Who does Jocasta say told her about Laius' death?
2. When Jocasta begs him to stop his investigation and runs off, how does Oedipus say he feels about potentially discovering something bad about his natural parents?
3. What does Creon deny that he has a desire to do?
4. How does Oedipus react to the chorus' pleas?
5. What does Creon say his current position brings?
This section contains 357 words
(approx. 2 pages at 300 words per page)