Streams with delayed evaluation can be a powerful modeling tool, providing many of the benefits of local state and assignment. Moreover, they avoid some of the theoretical tangles that accompany the introduction of assignment into a programming language.
The stream approach can be illuminating because it allows us to build systems with different module boundaries than systems organized around assignment to state variables. For example, we can think of an entire time series (or signal) as a focus of interest, rather than the values of the state variables at individual moments. This makes it convenient to combine and compare components of state from different moments.
In section \ref{sec:recursion-and-iteration}, we introduced iterative
processes, which proceed by updating state variables. We know now
that we can represent state as a timeless
stream of values rather
than as a set of variables to be updated. Let's adopt this
perspective in revisiting the square-root
function
from
section \ref{sec:sqrt}. Recall that the idea is to generate a
sequence of better and better guesses for the square root of $x$ by
applying over and over again the
function
that improves guesses:
function sqrt_improve(guess, x) { return average(guess, x / guess); }
In our original sqrt function, we made these guesses be the successive values of a state variable. Instead we can generate the infinite stream of guesses, starting with an initial guess of 1:[1]
function sqrt_stream(x) { const guesses = pair(1.0, () => stream_map(guess => sqrt_improve(guess, x), guesses); ); return guesses; } display(eval_stream(sqrt_stream(2), 5)); // [1, [1.5, [1.4166666666666665, [1.4142156862745097, // [1.4142135623746899, null]]]]]
We can generate more and more terms of the stream to get better and better guesses. If we like, we can write a function that keeps generating terms until the answer is good enough. (See exercise \ref{ex:stream-limit}.)
Another iteration that we can treat in the same way is to generate an approximation to $\pi$, based upon the alternating series that we saw in section \ref{sec:procedures-as-parameters}: \[ \frac {\pi}{4} = 1-\frac{1}{3}+\frac{1}{5}-\frac{1}{7}+\cdots \]
We first generate the stream of summands of the series (the reciprocals of the odd integers, with alternating signs). Then we take the stream of sums of more and more terms (using the partial_sums function of exercise \ref{ex:partial-sums}) and scale the result by 4:
function pi_summands(n) { return pair(1.0 / n, () => stream_map(x => -x, pi_summands(n + 2)) ); } const pi_stream = scale_stream(partial_sums(pi_summands(1)), 4); display_stream(eval_stream(pi_stream, 8)); // [4, [2.666666666666667, [3.466666666666667, // [2.8952380952380956, [3.3396825396825403, // [2.9760461760461765, [3.2837384837384844, // [3.017071817071818, null]]]]]]]]
This gives us a stream of better and better approximations to $\pi$, although the approximations converge rather slowly. Eight terms of the sequence bound the value of $\pi$ between 3.284 and 3.017.
So far, our use of the stream of states approach is not much different from updating state variables. But streams give us an opportunity to do some interesting tricks. For example, we can transform a stream with a sequence accelerator that converts a sequence of approximations to a new sequence that converges to the same value as the original, only faster.
One such accelerator, due to the eighteenth-century Swiss mathematician Leonhard Euler, works well with sequences that are partial sums of alternating series (series of terms with alternating signs). In Euler's technique, if $S_n$ is the $n$th term of the original sum sequence, then the accelerated sequence has terms \[ S_{n+1} - \frac{(S_{n+1}-S_n)^2}{S_{n-1}-2S_n+S_{n+1}} \] Thus, if the original sequence is represented as a stream of values, the transformed sequence is given by
function euler_transform(s) { const s0 = stream_ref(s, 0); const s1 = stream_ref(s, 1); const s2 = stream_ref(s, 2); return pair(s2 - square(s2 - s1) / (s0 + (-2) * s1 + s2), () => euler_transform(stream_tail(s))); }
We can demonstrate Euler acceleration with our sequence of approximations to $\pi$:
display_stream(euler_transform(pi_stream)); // 3.166666666666667 // 3.1333333333333337 // 3.1452380952380956 // 3.13968253968254 // 3.1427128427128435 // 3.1408813408813416 // 3.142071817071818 // 3.1412548236077655 // ...
Even better, we can accelerate the accelerated sequence, and recursively accelerate that, and so on. Namely, we create a stream of streams (a structure we'll call a tableau) in which each stream is the transform of the preceding one:
function make_tableau(transform, s) { return pair(s, () => make_tableau(transform, transform(s))); }
The tableau has the form \[ \begin{array}{llllll} s_{00} & s_{01} & s_{02} & s_{03} & s_{04} & \ldots\\ & s_{10} & s_{11} & s_{12} & s_{13} & \ldots\\ & & s_{20} & s_{21} & s_{22} & \ldots\\ & & & & \ldots & \end{array} \]
Finally, we form a sequence by taking the first term in each row of the tableau:
function accelerated_sequence(transform, s) { return stream_map(head, make_tableau(transform, s)); }
super-accelerationof the $\pi$ sequence:
display(eval_stream(accelerated_sequence(euler_transform, pi_stream), 8)); // [4, [3.166666666666667, [3.142105263157895, // [3.141599357319005, [3.1415927140337785, [3.1415926539752927, // [3.1415926535911765, [3.141592653589778, null]]]]]]]]
The result is impressive. Taking eight terms of the sequence yields the correct value of $\pi$ to 14 decimal places. If we had used only the original $\pi$ sequence, we would need to compute on the order of $10^{13}$ terms (i.e., expanding the series far enough so that the individual terms are less then $10^{-13}$) to get that much accuracy!
We could have implemented these acceleration techniques without using streams. But the stream formulation is particularly elegant and convenient because the entire sequence of states is available to us as a data structure that can be manipulated with a uniform set of operations.
function sqrt_stream(x) { return pair(1.0, () => stream_map(guess => sqrt_improve(guess, x), sqrt_stream(x)) ); }
function sqrt(x, tolerance) { return stream_limit(sqrt_stream(x), tolerance); }
In section \ref{sec:nested-mappings}, we saw how the sequence paradigm
handles traditional nested loops as processes defined on sequences of
pairs. If we generalize this technique to infinite streams, then we
can write programs that are not easily represented as loops, because
the looping
must range over an infinite set.
For example, suppose we want to generalize the prime_sum_pairs function of section \ref{sec:nested-mappings} to produce the stream of pairs of all integers $(i,j)$ with $i \leq j$ such that $i+j$ is prime. If int_pairs is the sequence of all pairs of integers $(i,j)$ with $i \leq j$, then our required stream is simply[2]
stream_filter(pair => is_prime(head(pair) + head(tail(pair))), int_pairs);
Our problem, then, is to produce the stream int_pairs. More generally, suppose we have two streams $S = (S_i)$ and $T = (T_j)$, and imagine the infinite rectangular array \[ \begin{array}{cccc} (S_0,T_0) & (S_0,T_1) & (S_0, T_2) & \ldots\\ (S_1,T_0) & (S_1,T_1) & (S_1, T_2) & \ldots\\ (S_2,T_0) & (S_2,T_1) & (S_2, T_2) & \ldots\\ \ldots \end{array} \] We wish to generate a stream that contains all the pairs in the array that lie on or above the diagonal, i.e., the pairs \[ \begin{array}{cccc} (S_0,T_0) & (S_0,T_1) & (S_0, T_2) & \ldots\\ & (S_1,T_1) & (S_1, T_2) & \ldots\\ & & (S_2, T_2) & \ldots\\ & & & \ldots \end{array} \] (If we take both $S$ and $T$ to be the stream of integers, then this will be our desired stream int_pairs.)
Call the general stream of pairs pairs(S, T), and consider it to be composed of three parts: the pair $(S_0,T_0)$, the rest of the pairs in the first row, and the remaining pairs:[3] \[ \begin{array}{c|ccc} (S_0,T_0) & (S_0,T_1) & (S_0, T_2) & \ldots\\ \hline{} %--------------------------------------------------- \\ & (S_1,T_1) & (S_1, T_2) & \ldots\\ & & (S_2, T_2) & \ldots\\ & & & \ldots \end{array} \] Observe that the third piece in this decomposition (pairs that are not in the first row) is (recursively) the pairs formed from stream_tail(S) and stream_tail(T). Also note that the second piece (the rest of the first row) is
stream_map(x => list(head(s), x), stream_tail(t));
Thus we can form our stream of pairs as follows:
function pairs(s, t) { return pair(list(head(s), head(t)), () =>( stream_map(x => list(head(s), x), stream_tail(t)), pairs(stream_tail(s), stream_tail(t))) ); }
In order to complete the function, we must choose some way to combine the two inner streams. One idea is to use the stream analog of the append function from section \ref{sec:sequences}:
function stream_append(s1, s2) { return is_null(s1) ? s2 : pair(head(s1), () => stream_append(stream_tail(s1), s2) ); }
This is unsuitable for infinite streams, however, because it takes all the elements from the first stream before incorporating the second stream. In particular, if we try to generate all pairs of positive integers using
pairs(integers, integers);
To handle infinite streams, we need to devise an order of combination that ensures that every element will eventually be reached if we let our program run long enough. An elegant way to accomplish this is with the following interleave function:[4]
function interleave(s1, s2) { return is_null(s1) ? s2; : pair(head(s1), () => interleave(s2, stream_tail(s1)) ); }
Since interleave takes elements alternately from the two streams, every element of the second stream will eventually find its way into the interleaved stream, even if the first stream is infinite.
We can thus generate the required stream of pairs as
function pairs(s, t) { return pair(list(head(s), head(t)), () => interleave(stream_map(x => list(head(s), x), stream_tail(t)), pairs(stream_tail(s), stream_tail(t))); }
function pairs(s, t) { return interleave(stream_map(x => list(head(s), x), t), pair(stream_tail(s), stream_tail(t))); }
less thananother. One way to do this is to define a
weighting function$W(i,j)$ and stipulate that $(i_1,j_1)$ is less than $(i_2,j_2)$ if $W(i_1,j_1) < W(i_2,j_2)$. Write a function merge_weighted that is like merge, except that merge_weighted takes an additional argument weight, which is a function that computes the weight of a pair, and is used to determine the order in which elements should appear in the resulting merged stream.[5] Using this, generalize pairs to a function weighted_pairs that takes two streams, together with a function that computes a weighting function, and generates the stream of pairs, ordered according to weight. Use your function to generate \begin{enumerate}[a.] \item{ the stream of all pairs of positive integers $(i,j)$ with $i \leq j$ ordered according to the sum $i + j$ } \item{ the stream of all pairs of positive integers $(i,j)$ with $i \leq j$, where neither $i$ nor $j$ is divisible by 2, 3, or 5, and the pairs are ordered according to the sum $2 i + 3 j + 5 i j$. } \end{enumerate} \end{Exercise} \stepcounter{ExerciseDisplayNumber} \begin{Exercise} Numbers that can be expressed as the sum of two cubes in more than one way are sometimes called Ramanujan numbers, in honor of the mathematician Srinivasa Ramanujan.[6] Ordered streams of pairs provide an elegant solution to the problem of computing these numbers. To find a number that can be written as the sum of two cubes in two different ways, we need only generate the stream of pairs of integers $(i,j)$ weighted according to the sum $i^3 + j^3$ (see exercise \ref{ex:weighted-pairs}), then search the stream for two consecutive pairs with the same weight. Write a function to generate the Ramanujan numbers. The first such number is 1,729. What are the next five? \end{Exercise} \stepcounter{ExerciseDisplayNumber} \begin{Exercise} In a similar way to exercise \ref{ex:ramanujan-nums} generate a stream of all numbers that can be written as the sum of two squares in three different ways (showing how they can be so written). \end{Exercise}
We began our discussion of streams by describing them as computational
analogs of the signals
in signal-processing systems. In fact, we
can use streams to model signal-processing systems in a very direct
way, representing the values of a signal at successive time intervals
as consecutive elements of a stream. For instance, we can implement
an
integrator or
summer that, for an input stream
$x=(x_{i})$, an initial value $C$, and a small increment $dt$,
accumulates the sum
\[ S_i =C +\sum_{j=1}^{i} x_{j} \, dt \]
and returns the stream of values $S=(S_{i})$. The following integral
function
is reminiscent of the implicit style
definition of the
stream of integers (section \ref{sec:infinite-streams}):
function integral(integrand, initial_value, dt) { const integ = pair(initial_value, () => add_streams(scale_stream(integrand, dt), integ); ); return integ; }
Figure \ref{fig:integral} is a picture of a signal-processing system that corresponds to the integral function. The input stream is scaled by $dt$ and passed through an adder, whose output is passed back through the same adder. The self-reference in the definition of int is reflected in the figure by the feedback loop that connects the output of the adder to one of the inputs.
\begin{figure}[H] \centering \maxsizebox{\linewidth}{0.8\paperheight}{\includegraphics[scale=0.8]{{img\string_original/ch3-Z-G-51}.svg}} \caption{An RC circuit and the associated signal-flow diagram. } \label{fig:rc} \end{figure} We can model electrical circuits using streams to represent the values of currents or voltages at a sequence of times. For instance, suppose we have an RC circuit consisting of a resistor of resistance $R$ and a capacitor of capacitance $C$ in series. The voltage response $v$ of the circuit to an injected current $i$ is determined by the formula in Figure \ref{fig:rc}, whose structure is shown by the accompanying signal-flow diagram.
Write a function RC that models this circuit. RC should take as inputs the values of $R$, $C$, and $dt$ and should return a function that takes as inputs a stream representing the current $i$ and an initial value for the capacitor voltage $v_{0}$ and produces as output the stream of voltages $v$. For example, you should be able to use RC to model an RC circuit with $R = 5$ ohms, $C = 1$ farad, and a 0.5-second time step by evaluating const RC1 = RC(5, 1, 0.5). This defines RC1 as a function that takes a stream representing the time sequence of currents and an initial capacitor voltage and produces the output stream of voltages.
... 1 2 1.5 1 0.5 -0.1 -2 -3 -2 -0.5 0.2 3 4 ... ... 0 0 0 0 0 -1 0 0 0 0 1 0 0 ...
function make_zero_crossings(input_stream, last_value) { return pair(sign_change_detector(head(input_stream), last_value), () => make_zero_crossings( stream_tail(input_stream), head(input_stream))); } const zero_crossings = make_zero_crossings(sense_data, 0);
const zero_crossing = combine_streams(sign_change_detector, sense_data,);
function make_zero_crossings(input_stream, last_value) { const avpt = (head(input_stream) + last_value) / 2; return pair(sign_change_detector(avpt, last_value), () => make_zero_crossings( stream_tail(input_stream), avpt); ); }
It was Mr. Littlewood (I believe) who remarked thatThe trick of using weighted pairs to generate the Ramanujan numbers was shown to us by Charles Leiserson.every positive integer was one of his friends.I remember once going to see him when he was lying ill at Putney. I had ridden in taxi-cab No. 1729, and remarked that the number seemed to me a rather dull one, and that I hoped it was not an unfavorable omen.No,he replied,it is a very interesting number; it is the smallest number expressible as the sum of two cubes in two different ways.


nips nips2005 nips2005-49 nips2005-49-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Aurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire
Abstract: We study the statistical convergence and consistency of regularized Boosting methods, where the samples are not independent and identically distributed (i.i.d.) but come from empirical processes of stationary β-mixing sequences. Utilizing a technique that constructs a sequence of independent blocks close in distribution to the original samples, we prove the consistency of the composite classiﬁers resulting from a regularization achieved by restricting the 1-norm of the base classiﬁers’ weights. When compared to the i.i.d. case, the nature of sampling manifests in the consistency result only through generalization of the original condition on the growth of the regularization parameter.
[1] Schapire, R.E.: The Boosting Approach to Machine Learning An Overview. In Proc. of the MSRI Workshop on Nonlinear Estimation and Classiﬁcation (2002)
[2] Friedman, J., Hastie T., Tibshirani, R.: Additive logistic regression: A statistical view of boosting. Ann. Statist. 38 (2000) 337–374
[3] Jiang, W.: Does Boosting Overﬁt:Views From an Exact Solution. Technical Report 00-03 Department of Statistics, Northwestern University (2000)
[4] Lugosi, G., Vayatis, N.: On the Bayes-risk consistency of boosting methods. Ann. Statist. 32 (2004) 30–55
[5] Zhang, T.: Statistical Behavior and Consistency of Classiﬁcation Methods based on Convex Risk Minimization. Ann. Statist. 32 (2004) 56–85
[6] Gy¨ rﬁ, L., H¨ rdle, W., Sarda, P., and Vieu, P.: Nonparametric Curve Estimation from Time o a Series. Lecture Notes in Statistics. Springer-Verlag, Berlin. (1989)
[7] Irle, A.: On the consistency in nonparametric estimation under mixing assumptions. J. Multivariate Anal. 60 (1997) 123–147
[8] Meir, R.: Nonparametric Time Series Prediction Through Adaptative Model Selection. Machine Learning 39 (2000) 5–34
[9] Modha, D., Masry, E.: Memory-Universal Prediction of Stationary Random Processes. IEEE Trans. Inform. Theory 44 (1998) 117–133
[10] Roussas, G.G.: Nonparametric estimation in mixing sequences of random variables. J. Statist. Plan. Inference. 18 (1988) 135–149
[11] Vidyasagar, M.: A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems. Second Edition. Springer-Verlag, London (2002)
[12] Yu, B.: Density estimation in the L∞ norm for dependent data with applications. Ann. Statist. 21 (1993) 711–735
[13] Doukhan, P.: Mixing Properties and Examples. Springer-Verlag, New York (1995)
[14] Yu, B.: Some Results on Empirical Processes and Stochastic Complexity. Ph.D. Thesis, Dept of Statistics, U.C. Berkeley (Apr. 1990)
[15] Yu, B.: Rate of convergence for empirical processes of stationary mixing sequences. Ann. Probab. 22 (1994) 94–116.
[16] Ledoux, M., Talagrand, N.: Probability in Banach Spaces. Springer, New York (1991)
[17] Meir, R., Zhang, T.:Generalization error bounds for Bayesian mixture algorithms. J. Machine Learning Research (2003)
[18] van der Vaart, A.W., Wellner, J.A.: Weak convergence and empirical processes. Springer Series in Statistics. Springer-Verlag, New York (1996)
[19] Devroye, L., Gy¨ rﬁ L., Lugosi, G.: A Probabilistic Theory of Pattern Recognition. Springer, o New York (1996)


Wednesday - Novermbe 18, 2020
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Wednesday - Novermbe 18, 2020
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
The FITT360 is the hands-free 4K 360 degree camera that lets you experience and capture life at the same time
True balance
$ 28M
Series D
Mobile, +2
Shinhan Capital, +4
Payments app True Balance raises $28 million to reach more underbanked users in India on TechCrunch
True balance
$ 28M
Series D
Mobile, +2
Shinhan Capital, +4
Payments app True Balance raises $28 million to reach more underbanked users in India on TechCrunch
True balance
$ 28M
Series D
Mobile, +2
Shinhan Capital, +4
Payments app True Balance raises $28 million to reach more underbanked users in India on TechCrunch
True balance
$ 28M
Series D
Mobile, +2
Shinhan Capital, +4
Payments app True Balance raises $28 million to reach more underbanked users in India on TechCrunch
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
Tech
Google's new AI tool turns your terrible drawings into hideous monsters
Elon who? Tesla's Chinese rival NIO is up 1,200% this year
$800
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Tic-tac-toe
Game Description:
Tic-tac-toe (also known as noughts and crosses or Xs and Os) is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3x3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row wins the game.
The following example game is won by the first player, X:
Because of the simplicity of tic-tac-toe, it is often used as a pedagogical tool for teaching the concepts of good sportsmanship and the branch of artificial intelligence that deals with the searching of game trees.
It is straightforward to write a computer program to play tic-tac-toe perfectly, to enumerate the 765 essentially different positions (the state space complexity), or the 26,830 possible games up to rotations and reflections (the game tree complexity) on this space.
More about the game: wikipedia article
How to 'play':
Game state is represented by a 3x3 integer matrix. Integers range from 0 to 2:
- 0 - empty space
- 1 - You
- 2 - Your opponent
This is little bit different then in a more 'traditional' implementation where 1s are Xs and 2s are Os.  This is done so player algorithms are symmetrical and can be interchanged easily.
You can still figure out if you are one or the other, based on the state of the board during your first move(it really shouldn't matter much).
Algorithm example:
package com.example.mypackage; public class TicTacToeBot { final public static int FREE_SPACE = 0; final public static int MY_SYMBOL = 1; //You are always 1 final public static int OPPONENT = 2; public static void move(int[][] board){ //your code goes here: //example code: //play on the first 'free' board square for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { if(board[i][j] == FREE_SPACE){ //You output your move by using System.out.println() or System.out.print() //If you have a need for debuging use System.err System.out.println(i+" "+j);//this is one of the formats game accepts return; //be sure to return unless you want to output more moves; } } } } }
When you are ready to output your move you can do that by calling System.out.println()
or System.out.print()
methods.
Here are the string formats that you can use to output your move:
- 0 2
- 0,2
- 0, 2
- 02
All of these mean that you want to play your symbol(X or O) at the square: row '0' column '2'. That's the right most upper corner of the board.
If you output for example System.out.println("1 1")
that means that you want to play at the middle of the board.
Each call to the System.out.println()
is interpreted as one move, so be sure to use it once per method call, unless you can predict the future.
Any invalid move (out-of-bounds/playing on a filled square) will stop the game and you will lose.
If you have a need to debug use System.err
. You will be able to see the output in both the System and Simulator consoles.
There are no early draws in the game, game keeps going on until there is a clear winner or until the 3x3 grid is filled. If there isn't a winner after the grid is filled, a draw is called.
Supported Languages:
At the moment only Java :(
Restrictions:
You have 'only' 100ms to compute the move once your method is called.


Brooks: Canadian Museum for Human Rights spreads message of respectful dialogue
by Bill Brooks, Calgary HeraldInvited guests enjoyed Ann McCaig’s renowned hospitality and warmth on Sept. 23 at an event to support the Friends of the Canadian Museum for Human Rights. McCaig is a member of the Friends board and invited people to her home to learn more about Canada’s new national museum — the only one located in Western Canada.
Museum president and CEO Dr. John Young talked about the museum’s work to cultivate dialogue and respect across Canada and around the world. Philanthropist Gail Asper, whose family spearheaded the campaign to found and build the museum, shared some of her insights as well.


STOOL SOFTENER- docusate sodium capsule, liquid filled
Western Family Foods, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
| adults and children 12 years and over | take 1-3 softgels daily |
| children 2 to under 12 years of age | take 1 softgel daily |
| children under 2 years | ask a doctor |
D&C red #33*, D&C yellow #10*, edible ink, FD&C blue #1*, FD&C red #40, FD&C yellow #6, gelatin, glycerin, lecithin*, medium-chain triglycerides*, polyethylene glycol, propylene glycol*, purified water, sorbitan, sorbitol, titanium dioxide
*contains one or more of these ingredients
Stool Softener
Docusate Sodium
100 MG
STIMULANT FREE RELIEF
SOFTGELS
Effective & Gentle
**COMPARE TO THE ACTIVE INGREDIENT IN COLACE®
Proudly Distributed by Western Family Foods, Inc.
P.O. Box 4057, Portland, OR 97208 U.S.A.
**This product is not manufactured or distributed by Purdue Products L.P., owner of the registered trademark Colace®.
TAMPER EVIDENT: DO NOT USE IF IMPRINTED SAFETY SEAL UNDER CAP IS BROKEN OR MISSING.
KEEP OUTER CARTON FOR COMPLETE WARNINGS AND PRODUCT INFORMATION.
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STOOL SOFTENER
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| Labeler - Western Family Foods, Inc. (192166072) |
| Registrant - P and L Development of New York Corporation (800014821) |


Compute the average particle velocity using uniform binning.
| Select atoms |
multi select list |
The list of atoms contained in the molecule. Here the particles to be used are selected. |
| Deselect All |
button |
Deselect all the entries in the Select atoms list. |
| Select All |
button |
Select all the entries in the Select atoms list. |
| Selection type |
radio buttons |
Select the kind of operation:
- pass all selected
- Pass to output only the atoms selected in the list
- remove all selected
- Remove from the molecule only the atoms selected in the list
- pass all similar
- Pass to output the atoms with names that starts like to the ones selected in the list
- remove all similar
- Remove from the molecule the atoms with names that starts like to the ones selected in the list
|
| use cubic cells |
toggle |
If set the number of cells on each side is changed to obtain roughly cubic cells. |
| Cells per side |
numeric field |
The number of cells on each side of the volume. |
| Step time lenght |
numeric field |
The time lenght of each step to compute the particle velocity. |
| Reset |
button |
Reset the accumulated velocities. |
| use manual limits |
toggle |
For the accumulator volume use the limits entered below. If not set the volume limits are computed by the module and show
in the fields below. |
| X, Y, Z min |
numeric fields |
Lower coordinates values for the volume. |
| X, Y, Z max |
numeric fields |
Upper coordinates values for the volume. |


GramJS is Telegram client implementation in Javascript. This project's core is completely based on Telethon. All the files which are fully based on it. don't forget to have a look to the original project.
API ID
and Hash
API Development tools
.Create new application
window will appear. Fill in your application details.
There is no need to enter any URL
, and only the first two fields (App title
and Short name
)
can be changed later as long as I'm aware.Create application
at the end. Now that you have the API ID
and Hash
If you want to run in it in a browser just use webpack (a configuration file is already present).
The output will be in browser
folder.
In the browser gramjs will use localstorage to not regenerate api methods each run.
check the examples
folder for more info.
To generate session string , simply run npx tgsession
and provide required details
Currently you can use any raw api function using await client.invoke(new RequestClass(args))
.
you can find all the requests and types at https://gram.js.org/
you can find the docs at https://painor.gitbook.io/gramjs/ or https://gram.js.org/ which has all the functions with a usage example
If you have any question about how to use the library feel free to open a github issue or join us at the telegram group @GramJSChat
Generated using TypeDoc


SHATTERED IMAGE
Reviewed by Harvey Karten, Ph.D. Lions Gate Releasing Director: Raul Ruiz Writer: Duane Poole Cast: William Baldwin, Anne Parillaud, Graham Greene, Lisanne Falk, Bulle Ogier
While I'm entering words into the computer, I know I'm not dreaming. How do I know? I can ask myself, "Am I dreaming?" and decide rationally that I am not. But when I'm dreaming, I rarely have the free will to ask myself this question, and so I think I'm living in reality despite the illusion of it all. Illusion vs. reality is one of the great themes of storytellers and in "The Shattered Image" director Raul Ruiz pushes the envelope by having his principal character, Jessie (Anne Parillaud), confused to the point of insanity about which of her two sides is the real Jessie.  Or is the leathery-looking assassin the real Jessie and the soft, vulnerable, victimized Jessie her dream? As the two sides of the same woman collide with each other, a harsh sound like a gunshot or the ring of a telephone or the shattering of glass brings one Jessie up sharply and turns her into the other.
A major motif of "Shattered Image" is the absence of dramatic irony. The audience, instead of being a step or two ahead of the characters (as in the "Oedipus" legend) is kept as much in the dark as the principal character, the enigma finally revealed in the concluding moments to Jessie and to the movie audience simultaneously.
This is not the conventional whodunit, as Agatha Christie might have constructed the drama, but is done rather in the French style, which compared to the American form is paced more leisurely with greater emphasis on psychology than on action. It's quite an intriguing piece which might remind film buffs of the late Kryzstof Kieslowski's even more cryptic "The Double Life of Veronique," in which two women, one Polish and one French, subtly affect each other's lives while remaining total strangers.
Duane Poole's script opens on the stony-faced contract killer, Jessie (Anne Parillaud), who sits at a night-club table ignoring the martini that a trio of businessmen have sent over to her, but who follows one of them into the men's room to complete her part of a contract. Director Ruiz soon shifts to another Jessie, a kinder and gentler woman, who has met a handsome young man under strange conditions and is on an expensive honeymoon in Jamaica with her new husband, Brian (William Baldwin). Brian is an understanding man indeed, nursing his bride through some troubled, paranoid times in which she obsesses over an incident in which she was attacked by a rapist who was chased away by Brian--a modern knight in shining armor. Having survived several suicide attempts, she lives through her traumatic experience not by recalling the incident directly but via nightmares in which she has become the femme fatale, the hired executioner. Or is it the other way around?
You may remember Anne Parillaud as the title character of Luc Besson's 1990 French-Italian film "La Femme Nikita"-- which was successfully remade American style starring Bridget Fonda and which became a successful TV series. The Chilean-born director, Raul Ruiz, patterns his picture in the European manner, allowing the plot to unwind ever-so- slowly and tantalizingly in his second American-made, English language feature. (In 1990 he shot "The Golden Boat in New York with a 16mm camera and black-and-white film). The prolific and gifted regisseur turned out "Genealogies of a Crime" last year with a similar strain, highlighting Catherine Deneuve in a dual role as the lawyer for and victim of a strange young man who's accused of murdering his psychiatrist aunt after she allegedly subjected him to radical mind-control treatments. Paired characters--a "which twin is the phony"--is always a enticing motif. Ruiz fruitfully utilizes the concept to match polar opposites--concerned husband vs. knavish cur; hard-hearted woman vs. unprotected prey; the warm, tropical ambience of Jamaica with the foggy, cold and rainy Seattle; sophisticated jazz with island reggae.
Shot in Port Antonio, Jamaica, and Vancouver, Raul Ruiz's "Shattered Image" is likely to find its audience among sophisticated moviegoers who relish the puzzlement raised by the picture with each shift in focus.
Not Rated. Running Time: 103 minutes. (C) 1998 Harvey Karten
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine. I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents.
- Srishty's Story
When I hear the buzz of the little world among the stalks, and grow familiar with the countless indescribable forms of the insects and flies, then I feel the presence of the Almighty, who formed us in his own image, and the breath.
I throw myself down among the tall grass by the trickling stream; and, as I lie close to the earth, a thousand unknown plants are noticed by me:
- Sumit's Story
Rsvp
For any questions please email us: sumitrtalekar@gmail.com


|
| void | doGet (HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException |
| |
| void | doPost (HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException |
| |
|
| static final long | serialVersionUID = 1L |
| |
| static ArrayList< University > | parks = null |
| |
| static String | url = "jdbc:mysql://ec2-54-186-213-92.us-west-2.compute.amazonaws.com:3306/db" |
| |
Servlet implementation class AhmetServlet
| AhmetServlet.AhmetServlet |
( |
| ) |
|
- See also
- HttpServlet::HttpServlet()
| String AhmetServlet.deleteData |
( |
HttpServletRequest |
request | ) |
|
|
private |
| void AhmetServlet.doGet |
( |
HttpServletRequest |
request, |
|
|
HttpServletResponse |
response |
|
) |
| throws ServletException, IOException |
|
protected |
doGet method responding to GET calls. According to different request types, executes corresponding processes and returns the resulting data.
Accepts two parameters from the GET method:
- type : Request type. May be i. queryData ii. insertData iii. listData
- input : Input data of a request. Each request type requires different input: queryData : A search term such as name of a national park. insertData : List of checkbox id's as a string. listData : No input
- See also
- HttpServlet::doGet(HttpServletRequest request, HttpServletResponse response)
| void AhmetServlet.doPost |
( |
HttpServletRequest |
request, |
|
|
HttpServletResponse |
response |
|
) |
| throws ServletException, IOException |
|
protected |
doPost method responding to POST calls. Currently not used.
- See also
- HttpServlet::doPost(HttpServletRequest request, HttpServletResponse response)
| ArrayList<University> AhmetServlet.getSelectedParks |
( |
String |
filter | ) |
|
|
private |
| String AhmetServlet.insertData |
( |
HttpServletRequest |
request | ) |
|
|
private |
Inserts the records in the specified indices to MySQL server. Which records are going to be inserted is specified in "input" parameter of GET call. "input" parameter is a space separated string with each entry specifying the index of the record to be inserted.
- Parameters
-
| request | HTTPServletRequest object containing the request parameters input and type. |
- Returns
- Resulting data as a String.
| static int AhmetServlet.levenshteinDistance |
( |
CharSequence |
lhs, |
|
|
CharSequence |
rhs |
|
) |
| |
|
static |
Computes the number of steps it will take to get to the second string from the first one by computing the levenshtein distance between the two strings.
- Parameters
-
| lhs | Starting string |
| rhs | Target string |
- Returns
- Number of steps it will take to get to the second string from the first one.
| String AhmetServlet.listData |
( |
HttpServletRequest |
request | ) |
|
|
private |
Gets all the records stored in MySQL server and returns them as a String.
- Parameters
-
| request | HTTPServletRequest object contaning the request parameters input and type. |
- Returns
- Resulting data as a String.
| String AhmetServlet.queryData |
( |
HttpServletRequest |
request | ) |
|
|
private |
Queries data from wikidata and returns the resulting data as a String in an internal data format.
Internal data format is as follows: ROW&&ROW&&ROW&&...&&ROW
Each ROW is formatted as follows: COLUMN||COLUMN||...||COLUMN
- Parameters
-
| request | HTTPServletRequest object containing the request parameters input and type. |
- Returns
- Resulting data in an internal data format.
| final long AhmetServlet.serialVersionUID = 1L |
|
staticprivate |
| String AhmetServlet.url = "jdbc:mysql://ec2-54-186-213-92.us-west-2.compute.amazonaws.com:3306/db" |
|
staticprivate |
The documentation for this class was generated from the following file:


One Piece Episode 854
Ongoing Animes
- 3-gatsu no Lion 2nd Season Episode 22
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NewAno Hi no Kanojo-tachi Episode 4
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NewAru Zombie Shoujo no Sainan (ONA) Episode 1
- Asobi Asobase Episode 12
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NewBack Street Girls: Gokudolls Episode 4
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NewBanG Dream! Garupa☆Pico Episode 3
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HOTBleach Episode 366
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HOTBoruto: Naruto Next Generations Episode 74
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HOTCaptain Tsubasa (2018) Episode 25
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HOTCardcaptor Sakura: Clear Card-hen Episode 22
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NewDouble Decker! Doug & Kirill Episode 1
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NewDragon Ball Heroes Episode 3
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HOTDragon Ball Super Episode 131
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HOTFairy Tail (2014) OVA 3
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NewFireball Humorous Episode 3
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- Hug tto! Precure Episode 32
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- Idol Time PriPara Movie
- IDOLiSH7 Episode 17
- Inazuma Eleven: Ares no Tenbin Episode 23
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- Island Episode 12
- Ito Junji: Collection Episode 12
- Itsudatte Bokura no Koi wa 10 cm Datta. Episode 6
- Jashin-chan Dropkick Episode 11
- Juushinki Pandora Episode 21
- Kaijuu Girls: Ultra Kaijuu Gijinka Keikaku 2nd Season Episode 12
- Kakuriyo no Yadomeshi Episode 25
- Karakai Jouzu no Takagi-san OVA
- Killing Bites Episode 12
- Kirakira Precure A La Mode Episode 49
- Kiratto Pri chan Episode 10
- Koi wa Ameagari no You ni Episode 12
- Kokkoku Episode 12
- Koneko no Chii: Ponponra Daibouken 2 Episode 23
- Kyoto Teramachi Sanjou no Holmes Episode 10
- Last Period: Owarinaki Rasen no Monogatari Episode 12
- Layton Mystery Tanteisha: Katri no Nazotoki File Episode 23
- Ling Qi 2 Episode 12
- Lord of Vermilion: Guren no Ou Episode 11
- Lost Song Episode 12
- Lostorage Conflated WIXOSS Episode 12
- Lupin III: Part V Episode 24
-
NewMahou Shoujo Lyrical Nanoha StrikerS Episode 1
- Mahou Shoujo Ore Episode 12
- Mahou Shoujo Site Episode 12
- Mahoutsukai no Yome Episode 24
- Major 2nd (TV) Episode 25
- Märchen Mädchen Episode 10
- Megalo Box Episode 13
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- Monster Hunter Stories: Ride On Episode 75
- Muhyo to Rouji no Mahouritsu Soudan Jimusho Episode 8
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-
HOTNaruto Shippuuden Episode 500
- Nil Admirari no Tenbin: Teito Genwaku Kitan Episode 12
- Nobunaga no Shinobi: Anegawa Ishiyama-hen Episode 25
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-
HOTOne Piece Episode 854
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-
NewOshiete Mahou no Pendulum: Rilu Rilu Fairilu Episode 3
- Osomatsu-san 2 Episode 25
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NewQuanzhi Gaoshou (2018) Episode 3
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NewRErideD: Tokigoe no Derrida Episode 4
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NewSakura Internet Episode 1
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Newly Added
One Piece Episode 854 English Sub
One Piece Episode 854 English Sub Online. Just click the play button and enjoy the show. If the video is not working feel free to report it via "Report Broken Video" button below the video.


Build a page called studyList.html with the following wireframe and description. The numbers in parenthesis are used as references from the description. They should not be in the final HTML. Only implement the layout and content of the page. We will add functionality and styling in a separate assignment. Put the page in a folder called /assignments/html/studyList.html


Static module bundler for modern JavaScript applications. Internally, it builds a dependency graph that maps every module in project needs and generates one or more bundles.
Write modules that can run in the browser
Use javascript parser(babylon) to parse javascript code into an AST. Traverse AST to find the modules that a given module depends on, assign given module a unique value. This abstraction of dependencies is an ‘asset’.
Combining these assets will allow us to form a dependency graph.
This dependency graph can be used to write a new require function: one that finds the right module to “require” from.g
https://www.youtube.com/watch?v=Gc9-7PBqOC8
ECMAScript modules vs CommonJS modules
Indicates the start point to build the internal dependency graph from.
Where to emit bundles (default: ./dist/main.js for main output file and ./dist for any other generated file)
Webpack only understands javascript/json. Hence, loaders are needed to process other types of files and convert them into valid modules that can be consumed by application.
module.exports = {
modern
}


The minimum number of gene families that must match between the query and a result chromosome in each block.
The maximum number of non-matching genes between successive matching genes in a block.
The maximum number of instances of a family that can occur on a chromosome before it's omitted from block computations.
Exclude chromosomes that have less than the specified number of genes from being used when computing macro-synteny blocks.
Exclude chromosomes with physical length less than the specified number of base-pairs from being used when computing macro-synteny blocks.
Number of genes on either side of the query gene.
The minimum number of gene families that must match between the query track and each result track.
The maximum number of non-matching genes between successive matching genes in a result track.
Which linkage algorithm to use.
The max distance between clusters.
How many points matching a gene family when aligning is worth.
The penalty for mismatching gene families when aligning.
The penalty for adding a gap when aligning gene families.
The minimum score an aligned result track must have to be displayed.
The minimum score a Repeat segment must have to contribute to the alignment.
Which databases to load data from.


Chapter 10 Workflow
10.1 Platform for metabolomics
Here is a list for related open source projects
10.1.1 XCMS online
XCMS online is hosted by Scripps Institute. If your datasets are not large, XCMS online would be the best option for you. Recently they updated the online version to support more functions for systems biology. They use metlin and iso metlin to annotate the MS/MS data. Pathway analysis is also supported. Besides, to accelerate the process, xcms online employed stream (windows only). You could use stream to connect your instrument workstation to their server and process the data along with the data acquisition automate. They also developed apps for xcms online, but I think apps for slack would be even cooler to control the data processing.
10.1.2 PRIMe
PRIMe is from RIKEN and UC Davis. They update their database frequently(Tsugawa et al. 2016). It supports mzML and major MS vendor formats. They defined own file format ABF and eco-system for omics studies. The software are updated almost everyday. You could use MS-DIAL for untargeted analysis and MRMOROBS for targeted analysis. For annotation, they developed MS-FINDER and statistic tools with excel. This platform could replaced the dear software from company and well prepared for MS/MS data analysis and lipidomics. They are open source, work on Windows and also could run within mathmamtics. However, they don’t cover pathway analysis. Another feature is they always show the most recently spectral records from public repositories. You could always get the updated MSP spectra files for your own data analysis.
If you make GC-MS based metabolomics, this paper(Matsuo et al. 2017) could be nice start.
10.1.3 OpenMS
OpenMS is another good platform for mass spectrum data analysis developed with C++. You could use them as plugin of KNIME. I suggest anyone who want to be a data scientist to get familiar with platform like KNIME because they supplied various API for different programme language, which is easy to use and show every steps for others. Also TOPPView in OpenMS could be the best software to visualize the MS data. You could always use the metabolomics workflow to train starter about details in data processing. pyOpenMS and OpenSWATH are also used in this platform. If you want to turn into industry, this platform fit you best because you might get a clear idea about solution and workflow.
10.1.4 MZmine 2
MZmine 2 has three version developed on Java platform and the lastest version is included into MSDK. Similar function could be found from MZmine 2 as shown in XCMS online. However, MZmine 2 do not have pathway analysis. You could use metaboanalyst for that purpose. Actually, you could go into MSDK to find similar function supplied by ProteoSuite and Openchrom. If you are a experienced coder for Java, you should start here.
10.1.5 XCMS
xcms is different from xcms online while they might share the same code. I used it almost every data to run local metabolomics data analysis. Recently, they will change their version to xcms 3 with major update for object class. Their data format would integrate into the MSnbase package and the parameters would be easy to set up for each step. Normally, I will use msconvert-IPO-xcms-xMSannotator-metaboanalyst as workflow to process the offline data. It could accelerate the process by parallel processing. However, if you are not familiar with R, you would better to choose some software above.
10.1.6 Emory MaHPIC
This platform is composed by several R packages from Emory University including apLCMS to collect the data, xMSanalyzer to handle automated pipeline for large-scale, non-targeted metabolomics data, xMSannotator for annotation of LC-MS data and Mummichog for pathway and network analysis for high-throughput metabolomics. This platform would be preferred by someone from environmental science to study exposome. I always use xMSannotator to annotate the LC-MS data.
10.1.7 DIA data analysis
Skyline is a freely-available and open source Windows client application for building Selected Reaction Monitoring (SRM) / Multiple Reaction Monitoring (MRM), Parallel Reaction Monitoring (PRM - Targeted MS/MS), Data Independent Acquisition (DIA/SWATH) and targeted DDA with MS1 quantitative methods and analyzing the resulting mass spectrometer data.
MSstats is an R-based/Bioconductor package for statistical relative quantification of peptides and proteins in mass spectrometry-based proteomic experiments. It is applicable to multiple types of sample preparation, including label-free workflows, workflows that use stable isotope labeled reference proteins and peptides, and work-flows that use fractionation. It is applicable to targeted Selected Reactin Monitoring(SRM), Data-Dependent Acquisiton(DDA or shotgun), and Data-Independent Acquisition(DIA or SWATH-MS). This github page is for sharing source and testing.
MS-DAIL is also an option for DIA.
10.1.8 Others
MAVEN from Princeton University
MAIT based on xcms and you could find source code here(Fernández-Albert et al. 2014).
metabolomics is a CRAN package for analysis of metabolomics data.
LipidFinder A computational workflow for discovery of new lipid molecular species
enviGCMS from environmental non-targeted analysis.
pySM provides a reference implementation of our pipeline for False Discovery Rate-controlled metabolite annotation of high-resolution imaging mass spectrometry data.
MetabolomeExpress a public place to process, interpret and share GC/MS metabolomics datasets.
PhenoMeNal is an easy-to-use, cloud-based metabolomic research environment.
MetaboliteDetector is a QT4 based software package for the analysis of GC/MS based metabolomics data.
autoGCMSDataAnal is a Matlab based comprehensive data analysis strategy for GC-MS-based untargeted metabolomics(???).
10.2 Data sharing
See this paper(Haug, Salek, and Steinbeck 2017):
MetaboLights EU based
The Metabolomics Workbench US based
MetabolomeXchange search engine
10.3 Contest
- CASMI predict smail molecular contest
10.4 Demo
References
Fernández-Albert, Francesc, Rafael Llorach, Cristina Andrés-Lacueva, and Alexandre Perera. 2014. “An R Package to Analyse LC/MS Metabolomic Data: MAIT (Metabolite Automatic Identification Toolkit).” Bioinformatics 30 (13): 1937–9. https://doi.org/10.1093/bioinformatics/btu136.
Guitton, Yann, Marie Tremblay-Franco, Gildas Le Corguillé, Jean-François Martin, Mélanie Pétéra, Pierrick Roger-Mele, Alexis Delabrière, et al. 2017. “Create, Run, Share, Publish, and Reference Your LCMS, FIAMS, GCMS, and NMR Data Analysis Workflows with the Workflow4Metabolomics 3.0 Galaxy Online Infrastructure for Metabolomics.” The International Journal of Biochemistry & Cell Biology 93 (Supplement C): 89–101. https://doi.org/10.1016/j.biocel.2017.07.002.
Haug, Kenneth, Reza M Salek, and Christoph Steinbeck. 2017. “Global Open Data Management in Metabolomics.” Current Opinion in Chemical Biology, Omics, 36 (February): 58–63. https://doi.org/10.1016/j.cbpa.2016.12.024.
Matsuo, Teruko, Hiroshi Tsugawa, Hiromi Miyagawa, and Eiichiro Fukusaki. 2017. “Integrated Strategy for Unknown EIMS Identification Using Quality Control Calibration Curve, Multivariate Analysis, EIMS Spectral Database, and Retention Index Prediction.” Anal. Chem. 89 (12): 6766–73. https://doi.org/10.1021/acs.analchem.7b01010.
Tsugawa, Hiroshi, Tobias Kind, Ryo Nakabayashi, Daichi Yukihira, Wataru Tanaka, Tomas Cajka, Kazuki Saito, Oliver Fiehn, and Masanori Arita. 2016. “Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software.” Anal. Chem. 88 (16): 7946–58. https://doi.org/10.1021/acs.analchem.6b00770.


It seems not a lot has changed in a hundred years...at least not in the world of the ALIEN sequels. Somehow, Sigourney Weaver always in ends up in a steam filled corridor, on a ship with dripping chains that swing suspended from unseen heights for unknown reasons. The flamethrowers even look the same, for heavenıs sake.
What has changed, are the plotlines, which went from sleeper Hollywood hero film, to MUCH LARGER, CLASSIC HOLLYWOOD HERO FILM, to the last installmentıs anomalya dark, brooding tale that started things off by telling us that Ripleyıs heroic efforts at the end of part two were in vain, then shaved her head. It got worse from there.
This outing proves to be more interesting. The technical aspectssave for a few very hokey computer shots (beware the dreaded rolling hand grenade!), are very good. Cinematography is sharp while keeping everything low key, sound is excellent and the score odd, but workable. The film panders to no one, starting things off with only the most brief sketch of exposition, then plunging headlong into itıs sinister plot. The downside is that the film is really for ALIEN fans...the whole thing comes off as one large ³in² joke. This could not be said of the brilliant ³ALIENS,² which stands on itıs own as a masterpiece of suspense. But ³ALIENS² was a big, huge, commercial masterpiece as well. It seems that the series last two directors have been determined not to take that proven route, and to search out a more low-key, oblique approach that tries hard to achieve...dare I say...a more artistic approach. Unfortunately, these directors seem to feel the best way to achieve this is to start off things with a cast that looks more like a death row lineup, than a group of characters the audience might actually care about.
The cast, though a raunchy lot, is very good. Again though, the problem with them is that they are all such a seedy bunch that one doesnıt much care who among them gets the olı ALIEN plunger greeting. This differs from the first two films where each crew member had itıs share of fans pulling for him or her. There are no ³Game over man,² characters in this one.
Sigourney Weaver is a bit more subdued in this film...not the strong yet still vulnerable heroine that we want to root for (EARTH TO THE SCREENWRITERS...COME IN...), but she still makes a riveting screen presence, the most watchable female star in decades. Nope...in this one, we donıt worry about Ripley at all, she can handle herself. Boy, can she handle herself.
I must admit I was not a fan of the filmıs premise...that Ripley is part alien, part human. It belies the basic attraction she has for all of us...she *is* us, albeit a better version of us than most of us would be in her situations...and like all heroes from Clint Eastwood to, well, Ripley...she doesnıt need the added attributes of an ALIEN to make her strong or interesting. This Brundlefly approach to her character results in a few silly scenes depicting her abnormal strength, some of which are mildly amusing...but also results in some other less effective scenes as in one where she puts her ear to the floor and says ³Itıs the Queen...and sheıs hurt...². The ALIEN series deserves better than this kind of hokum.
There are many action scenes, the most spectacular of which involves the entire crew swimming underwater and holding their breaths for what seems like an eternity while trying to reach safety on the other side of the ship. There is a fair amount of suspense in this sequence, some great editing, and some very impressive scoring.
Unfortunately, the pivotal turning point of the film is one of those sequences that doom a film if enough people find it incredulous. It came off a little bit like bad King Kong to me, but I managed to stick with it. Worse, it is not strong enough to bring the film to its close with the same kind of ³get me off this rollercoaster!² sense of relief elicited in the first two films. The ending seems flat in comparison to either of the first two films.
With a little imagination, one senses in the final scenes that another sequel might be in order, but if so I hope they write out this whole Ripley as ALIEN/MOM thing. Clone her again, and do it right guys. There are enough creeps in the universe as it is---we need a HERO, not a 50/50 BAR.
Three and a half out of Five Stars, if you must have a rating;)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
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Related links: index of all rec.arts.movies.reviews reviews


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Recipe 2.30. Calculating CRC-64 Cyclic Redundancy Checks
Credit: Gian Paolo Ciceri
Problem
You need to ensure the integrity of some
data by computing the data's cyclic redundancy check
(CRC), and you need to do so according to the CRC-64 specifications
of the ISO-3309 standard.
Solution
The Python Standard Library does not include any implementation of
CRC-64 (only one of CRC-32 in function
zlib.crc32), so we need to program it ourselves.
Fortunately, Python can perform bitwise operations (masking,
shifting, bitwise-and, bitwise-or, xor, etc.) just as well as, say, C
(and, in fact, with just about the same syntax), so
it's easy to transliterate a typical reference
implementation of CRC-64 into a Python function as follows:
# prepare two auxiliary tables tables (using a function, for speed),
# then remove the function, since it's not needed any more:
CRCTableh = [0] * 256
CRCTablel = [0] * 256
def _inittables(CRCTableh, CRCTablel, POLY64REVh, BIT_TOGGLE):
for i in xrange(256):
partl = i
parth = 0L
for j in xrange(8):
rflag = partl & 1L
partl >>= 1L
if parth & 1:
partl ^= BIT_TOGGLE
parth >>= 1L
if rflag:
parth ^= POLY64REVh
CRCTableh[i] = parth
CRCTablel[i] = partl
# first 32 bits of generator polynomial for CRC64 (the 32 lower bits are
# assumed to be zero) and bit-toggle mask used in _inittables
POLY64REVh = 0xd8000000L
BIT_TOGGLE = 1L << 31L
# run the function to prepare the tables
_inittables(CRCTableh, CRCTablel, POLY64REVh, BIT_TOGGLE)
# remove all names we don't need any more, including the function
del _inittables, POLY64REVh, BIT_TOGGLE
# this module exposes the following two functions: crc64, crc64digest
def crc64(bytes, (crch, crcl)=(0,0)):
for byte in bytes:
shr = (crch & 0xFF) << 24
temp1h = crch >> 8L
temp1l = (crcl >> 8L) | shr
tableindex = (crcl ^ ord(byte)) & 0xFF
crch = temp1h ^ CRCTableh[tableindex]
crcl = temp1l ^ CRCTablel[tableindex]
return crch, crcl
def crc64digest(aString):
return "%08X%08X" % (crc64(bytes))
if _ _name_ _ == '_ _main_ _':
# a little test/demo, for when this module runs as main-script
assert crc64("IHATEMATH") ==<PHONE_NUMBER>,<PHONE_NUMBER>)
assert crc64digest("IHATEMATH") == "E3DCADD69B01ADD1"
print 'crc64: dumb test successful'
Discussion
Cyclic redundancy checks (CRCs) are a popular way to ensure that data
(in particular, a file) has not been accidentally damaged. CRCs can
readily detect accidental damage, but they are
not intended to withstand inimical assault the
way other cryptographically strong checksums are. CRCs can be
computed much faster than other kinds of checksums, making them
useful in those cases where the only damage we need to guard against
is accidental damage, rather than deliberate adversarial tampering.
Mathematically speaking, a CRC is computed as a polynomial over the
bits of the data we're checksumming. In practice, as
this recipe shows, most of the computation can be done once and for
all and summarized in tables that, when properly indexed, give the
contribution of each byte of input data to the result. So, after
initialization (which we do with an auxiliary function because
computation in Python is much faster when using a
function's local variables than when using globals),
actual CRC computation is quite fast. Both the computation of the
tables and their use for CRC computation require a lot of bitwise
operations, but, fortunately, Python's just as good
at such operations as other languages such as C. (In fact,
Python's syntax for the various bitwise operands is
just about the same as C's.)
The algorithm to compute the standard CRC-64 checksum is described in
the ISO-3309 standard, and this recipe does nothing more than
implement that algorithm. The generator polynomial is x64 +
x4 + x3 + x + 1. (The "See
Also" section within this recipe provides a
reference for obtaining information about the computation.)
We represent the 64-bit result as a pair of Python
ints, holding the low and high 32-bit halves of
the result. To allow the CRC to be computed incrementally, in those
cases where the data comes in a little at a time, we let the caller
of function crc64 optionally feed in the
"initial value" for the
(crch, crcl) pair, presumably obtained by calling
crc64 on previous parts of the data. To compute the
CRC in one gulp, the caller just needs to pass in the data (a string
of bytes), since in this case, we initialize the result to
(0, 0) by default.
See Also
W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery,
Numerical Recipes in C, 2d ed. (Cambridge
University Press), pp. 896ff.
|


Hello friends!
Today is the second birthday of SerenityOS, counting from the first commit in the git repository, on October 10, 2018.
Previous birthdays: 1st.
NOTE: Since the HTML and CSS support has improved over the last year, this page uses a bit more of them to showcase SerenityOS browser support. :^)
SerenityOS is a from-scratch desktop operating system that combines a Unix-like core with the look&feel of 1990s productivity software. It's written in modern C++ and goes all the way from kernel to web browser. The project aims to build everything in-house instead of relying on third-party libraries.
I started building this system after finishing a 3-month rehabilitation program for drug addiction in 2018. I found myself with a lot of time and nothing to spend it on. So I began building something I'd always wanted to build: my very own dream OS.
Parts of my development work is presented in screencast format on my YouTube channel. I also post monthly update videos showcasing new features there.
Anyways, let's continue looking at screenshots where we left off in last year's birthday celebration! We had just gotten the browser strong enough to display the first birthday celebration page..
Jesse ported Quake to Serenity. We didn't have sound at first but that was fixed later. Still, it was very exciting!
Getting a NES emulator running helped drive improvements for threading and timing APIs in the kernel. Check out the video to see me die before even reaching the 1st palace..
Someone put together a CTF (Capture The Flag) challenge at the
36c3 computer security conference. I learned about this when
two exploits showed up (complete with write-ups!) on GitHub:
one from Fire30 and another one from braindead.
This caught me by total surprise and I was a little bit disappointed
at how easy it was to break into the system. This event sent me down
a deep rabbit hole of learning about system security and applying
everything I learned to secure Serenity. I wanted to make sure that
the next CTF presented more of a challenge!
After the classic platformer VVVVVV was released as open-source, I wanted to get it running on Serenity. It was pretty easy to get it going since it used SDL and we already had a decent SDL port. The game was open sourced on Jan 10th and I had it running 2 days later.
Outside of enabling every protection mechanism the x86 has to offer,
there was also a fair amount of architectural Unix-level security
work. One of the most important pieces was adopting two OpenBSD-like
system calls: pledge()
and unveil()
.
I wrote about Serenity's pledge and unveil implementation on my blog.
People kept asking me if the web browser would ever support JavaScript.
I honestly felt a bit intimidated when starting this project but I just
did it anyway, and a whole bunch of people very quickly joined up to
help out.
I started by implementing a simple AST interpreter,
and building some test AST's by hand. Then Stephan added a parser, and Sergey made a REPL,
and then things really took off, with Linus and Matt going especially deep.
To celebrate the project reaching 10'000 commits, I updated the main license file to assign copyright to "the SerenityOS developers" instead of just myself.
Browser development was moving forward with the LibJS engine allowing
more and more complex things. But we were still limited to visiting unencrypted
websites served over HTTP.
In comes LibTLS and LibCrypto! Thanks to some amazing work by Ali, assisted by
Itamar and DexesTTP, we can now talk to HTTPS websites as well. The whole world
opens up!
I was super excited when I could get Google loading for the first time!
I spent a whole bunch of time improving standards compliance in the LibWeb engine's CSS implementation. I've been using the classic ACID2 test to drive some of the work. As you can see from the picture, a lot of work still remains!
One tool I've missed ever since starting the SerenityOS project is the amazing
Valgrind.
I finally decided to do something about it, and I was curious how such a thing might
be implemented, so I set out to create a workalike of my own.
I've hacked on x86 emulators in the past, so I decided to bring my knowledge in that
area into Serenity and started building UserspaceEmulator (or UE for short), a program
that implements a ring-3-only x86 CPU and intercepts system calls so we can instrument them.
Within a couple of weeks of hacking, I could run compiled programs without changing
anything about them, and catch memory leaks just like Valgrind would!
I've always been a fan of desktop games, ever since the days of the
Microsoft Entertainment Pack.
Here we were joined by two great games, a 2048 clone by Ali & Sergey,
and a Chess game by Peter.
Also of note: the awesome icons in the system menu! Many of them were
drawn by thankyouverycool (so thank you, thankyouverycool, very cool!)
Even more: the "About" box was redesigned by Nick, and Buggie the system
mascot was drawn by Simon! These things happened much earlier but I'm
mentioning them here since they are visible in the screenshot.
Itamar started adding support for Git integration (diffing, staging, commits)
to the HackStudio IDE.
Note that this is an optional feature that is only available if you have the
git
port installed. HackStudio is the only program in the system
that makes use of ports since we don't have our own implementations of
git, a compiler, or a linker... yet. :^)
The Spreadsheet app was started by Ali and is powered internally by the
LibJS JavaScript engine. Cell expressions are evaluated as JS.
It feels really neat so far, although we're still figuring out
how it should work.
It even has built-in documentation, which is generated from the JavaScript
source code!
While we've had a system clipboard for a long time, it only recently
became possible to copy anything other than text between apps.
Here I had just added an image context menu in the Browser so you can
copy images from the web directly to the clipboard!
Also on display: the PixelPaint app (formerly PaintBrush), which became
a layer-based image editor in the last year.
And with that, this little tour of the second year of Serenity is over!
If you would like to see more, I've continued the tradition of making a monthly round-up video at the end of each month. You can find them in a special playlist on my YouTube channel.
To all the lovely people have helped out in the last year, with code, bug reports, man pages, commenting/liking/sharing my videos, sending letters, chilling on IRC, retweeting my shower thoughts, telling your friends, etc, thank you! I'm eternally grateful for all the love and support this project gets.
And also, a huge thank you! to everyone who has supported me via GitHub Sponsors, Patreon, and PayPal. I hope to be able to do this full time some day, and your continued support is keeping the dream alive!
All right, let's keep pushing forward into year 3!
Andreas Kling, 2020-10-10


{% extends "mail_layout.html" %} {% block title %}Orphaned users in SURF Research Access Management are deleted{% endblock %} {% block content %}
Hi,
The following orphaned users have been removed from SRAM in environment {{ environment }}. Please delete them from the MMS.
This email is automatically sent and can be suppressed by changing the orphan_users.enabled section of the configuration for environment {{ environment }}
{% endblock %}


GET/POST - /langid {text}
POST - /spacy/entities {text,lang=en}
POST - /polyglot/entities {text,lang=en}
GET - /newspaper {url}
POST - /newspaper {html}
POST - /polyglot/sentiment {text,lang=en}
GET - /polyglot/neighbours {word,lang=en}
POST - /gensim/summarize {text,lang=en}


bio.tools APE
Inputs:
+
Data type:
Data format:
Outputs:
+
Data type:
Data format:
Constraints:
+
Options:
Number of solutions:
Min workflow length:
Max workflow length:
Run
Tool sequence
Graph
Complete tool sequence
{{x}}
,


(Explanation: Hover the mouse over the desired text.)
Create by Jordy N'Dri
Angular
React JS
HTML 5
CSS
IONIC
GULP


FlightSurety
Track Flight Status!
Successfuly withdrawn
Flight Info:
Stauts Code
Flight Name
Arrial TimeStamp
Expected Payout
Report:
Payout
Display report here
Flight
Depature Date
Submit to Oracles
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Flight name:
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ETH
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--- layout: post title: Customizing Your Bash Prompt date: 2013-12-30 20:36:03.000000000 -05:00 type: post published: true status: publish categories: - Linux tags: [] meta: _edit_last: '2' bwps_enable_ssl: '' _css_code: "div#social a img {\r\n padding: 0px;\r\n margin: 10px 3px 0 0;\r\n}" author: login<EMAIL_ADDRESS>email<EMAIL_ADDRESS>display_name: Aimee Knight first_name: Aimee last_name: Knight ---
As an aspiring full stack developer, I spend a lot of time in terminal (iTerm2 specifically). In fact, I actually prefer to work in terminal rather that with the OS X gui. With that said, I want to share some of the things I've learned in regards to customizing your bash prompt.
First up try this;
$ env
The env command is going to dump your current bash session's environment variables. Right now, since the focus is on customizing our prompt, we're focused on PS1 which stands for Prompt String One. Likely, PS1 will be set to a default resembling \h:\W \u$. Here, \h returns your computer's name. \W, returns your home directory. And \u returns the current user. Since I'm the only one on my machine, my machine's name, and my username are pretty useless. In fact, the actually clutter up prime real estate. So, for my purposes, I've chosen to only retain my working directory. For fun, I did explicitly add a name as well. (I'll post the code in a moment since I'm not done just yet.)
So, just like any variable, you can reset PS1 like this:
$ PS1="what ever you want here"
However, if you want the changes to take affect each time you start a new session you're going to need to edit your bash profile. I have sublime set up to open files from iTerm (see instructions here) so I can pull up mine for editing like so:
$ sublime .bash_profile
From there, I simply append the following:
{% highlight bash %} export PS1="[Red Pill@ \W]$" {% endhighlight %}I happen to like "The Matrix", hence the 'red pill' reference. Again, \W will add my current directory, and I've also decided to keep the default $ at the end.
I fibbed though, I actually added more than that. Since the bash I/O stream is white by default, I wanted to add some color to my prompt to help visually differentiate the prompt from the I/O stream. my PS1 variable is actually set like so:
{% highlight bash %} export PS1="\[\033[0;95m\][Red Pill@ \W]$ \[\033[0m\]" {% endhighlight %}The only difference is the color encoding which wraps my prompt text, effectively setting the color, then turning it off. For a list of colors, you can refer here.
Hope that helps, and feel free to contact me through my form if you have questions!


Getting Involved in the Archiva Project
Archiva is an open source project and relies heavily on an active community. If you need help, you should look to the community. Equally, please look for ways that you may contribute back.
This page provides some pointers for receiving help and contributing to the Archiva community.
Getting Help
There are a number of ways to find help if you have an issue.
- Read the documentation
Read the user and administration documentation. - Search the Wiki
Search the Archiva Wiki. Lots of useful information has been contributed by users here. - Submit an issue
Search the Jira issue tracking system. The problem you are experiencing may be a known issue and others may have suggested work-arounds. If the issue is new, you should consider submitting a report. - Search the mailing lists
Search the mailing lists. Look here for a list of Archiva mailing lists. If you cannot find everything you need, ask a question on the appropriate list.
More Information
If you are new to Archiva (or Maven), there are a number of helpful resources on the Maven website which provide step-by-step guides to getting help, useful information regarding etiquette, and lots of other resources.
Check out:
How to Contribute
As with any open source project, there are several ways you can help:
- Join a mailing list
Join a mailing list and answer other user's questions. You can also meet up with developers and users on#archiva
onirc.freenode.net
- Fix bugs
Report bugs, feature requests and other issues in the Jira issue tracking system. Also, read up on how we do things in Archiva. - Build it
Check out the source code and build Archiva for yourself. Fix bugs and submit patches for reported issues (both those you find, or that others have filed). - Write documentation
Help with the documentation by pointing out areas that are lacking or unclear, and if you are so inclined, submitting patches to correct it. You can quickly contribute rough thoughts to the wiki, or you can volunteer to help collate and organise information that is already there. - Contribute Patches You can attache source patches to our JIRA. Or contribute using github pull requests our github source mirror is available here https://github.com/apache/archiva
Your participation in the community is much appreciated!
More Information
If you are new to Archiva (or Maven), there are a number of helpful resources on the Maven website regarding contribution back to the community.
Check out:


Here are some ideas for types of pages to include in your pattern library.
It is up to you and your team to decide on coding style practices. At times there can be a lot of disagreement about whether to indent with spaces or tabs, how to order your CSS properties, or a myriad of other coding preferences. However, we can all agree that when the whole team follows the same rules, the project is better for it. This page can act as a reference guide for those decisions.
Here are a few examples to get you started.
When working on a large project, there may be a lot of documentation and files spread over many systems. Whether you need a place to reference your UX designs (personas, user journeys, and wireframes) or your technical documents (content inventory, sitemaps, and data architecture), a page or two in RPL can help keep information within reach.
Instead of building out your designs and components in a vacuum, consider making incremental updates, and keep your client in the loop. Add special pages for your clients that include notes, links to prototypes, schedules and milestones, or any other information that may be valuable to your client.


Noiser 0.4a
Oscillator 1
Volume:
Frequency:
Sine
Square
Sawtooth
Triangle
Distort
Filter 1
Filter Frequency:
Filter Resonance:
Delay 1
Delay time:
Feedback:


G28.6−0.1
- Right Ascension: 18 43 55
- Declination: −03 53
- Size (/arcmin): 13×9
- Type: S
- Flux density at 1 GHz (/Jy): 3?
- Spectral Index: ?
- Radio: Poorly defined regions of non-thermal emission.
- X-ray: Diffuse shell, with thermal and non-thermal emission.
- Point sources: Pulsar in NE.
- Distance: HI absorption and CO suggests 9.6 kpc.
References:
- Helfand et al. 1989, ApJ, 341, 151. VLA at 1.4 GHz (15'') and 5 GHz (15'').
ADS
- Bamba et al. 2001, PASJ, 53, L21. ASCA observations.
ADS
- Ueno et al. 2003, ApJ, 588, 338. Chandra observations.
ADS
- Ebisawa et al. 2005, ApJ, 635, 214. Chandra observations.
ADS
- Zyuzin et al. 2018, MNRAS, 476, 2177. Pulsar observations.
ADS
- Ranasinghe & Leahy 2018, MNRAS, 477, 2243. VGPS HI absorption, plus CO observations.
ADS
Last updated: 9 Apr 2019
home |
documentation |
detailed listings |
summary listings
Dave Green/Cambridge, UK/


--- layout: post status: publish published: true title: Afternoon delight author: display_name: Kurt login: Kurt email<EMAIL_ADDRESS>url: '' author_login: Kurt author_email<EMAIL_ADDRESS>wordpress_id: 561 wordpress_url: http://ivyenvy.com/?p=561 date: '2009-04-15 12:58:39 +0000' date_gmt: '2009-04-15 18:58:39 +0000' categories: - Broadcasters - Broadcasters/Networks - General Baseball - The Cubs - Wrigley Field tags: - Announcers - cubs - Day Games - Pat and Ron - Radio - AM 720 - Broadcasters - Afternoon baseball comments: - id: 182 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-04-16 05:40:12 +0000' date_gmt: '2009-04-16 11:40:12 +0000' content: The Cubs can play as many day games as they want.....from mid-June until mid-August. I am lucky enough to get two months off every summer.  We don't get a good AM radio signal in our office, so I have to resort to watching little graphics on MLB.com. ---
No, not that kind. Days like today make me appreciate the fact that the Cubs play so many day games. I'm at work. I am working. Not this very second, but It's been a pretty productive today. I just got back from lunch, closed my door and turned on my radio. Listening to baseball on a crackly AM radio on a warm Spring day is a great thing. The game started at 1:20, just after lunch, and should carry me through most of my afternoon. Pat relayed the uniform information down to sock color and Ron is still trying to figure how to score a game on his card. What a great Wednesday.
It seems to me that the Cubs have been steadily reducing the number of day games at Wrigley. I can only assume due to the pressures of prime time television and the revenue that comes with it. I still enjoy the day games and hope they stick around even if their numbers are reduced. What do you think?


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SPOTY 2019: What time does it start tonight, what TV channel is it on and who are the contenders?
by Telegraph SportWhat is it?
It's the BBC's long-standing end of year sports review show which crowns this year's Sports Personality of the Year. It remains one of sport’s most prestigious awards.
When is it?
It is on Sunday December 15.
Where is it?
For the first time, SPOTY will be hosted by Aberdeen at the city's new P&J Live Arena. Tickets for the even sold out in five minutes.
What time will it start?
Coverage begins at 7pm GMT, finishing at 9pm GMT. This year's winner will be announced in the 15 minutes before the end of the show.
How can I watch it?
BBC One and BBC website will have live coverage of the show, presented by Gabby Logan, Clare Balding and Gary Lineker. Alternatively, you can bookmark this page read all the latest with our rolling blog.
Who are the contenders?
There is no longer an advanced short-list - six contenders will be announced on the night. Ben Stokes is a well-fancied favourite to wear the crown after his stunning unbeaten stand at Headingley to win England an Ashes Test from an improbable position, and his star role in a dramatic World Cup final against New Zealand. England Rugby Union captain Owen Farrell, world 200-metre champion Dina Asher-Smith and world heptathlon champion Katrina Johnson-Thompson are his closest challengers.
What are the latest odds?
- Ben Stokes 4/9
- Owen Farrell 5/1
- Dina Asher-Smith 5/1
- Katrina Johnson-Thompson 25/1
- Maro Itoje 25/1
- Manu Tuilagi 33/1
- Lewis Hamilton 33/1
- Raheem Sterling 50/1
Who won last year's award?
As our own Tom Cary put it in his report on the night:
In extraordinary week for cycling and for Team Sky ended last night with 2018 Tour de France champion Geraint Thomas crowned BBC Sports Personality of the Year at the Resorts World Arena in Birmingham. Thomas, 32, beat Formula One driver Lewis Hamilton into second place, with England striker Harry Kane third. As ever with Spoty, there was just as much debate over those who failed to make the cut as those who did. Georgia Hall, who won her first major title with a two-shot victory at the Women's British Open at Royal Lytham and St Annes, was omitted from the six-person shortlist - her contribution to the sporting year given just 10 seconds of airtime during the glitzy ceremony - as was Tyson Fury, who climbed off the canvas earlier this month to secure a dramatic draw with heavyweight champion Deontay Wilder out in Los Angeles.
What other awards will be presented?
- Greatest Sporting Moment
- World Sport Star of the Year
- Helen Rollason award
- Young Sports Personality of the Year
- Unsung Hero
- Coach of the Year
- Team of the Year
- Lifetime Achievement Award


Analyses realpath function usage and reports if it is being applied to paths containing '..'. This construct can lead to failure in phar applications.


Mirage Football Academy’s quartet train with Canada and U.S. men’s National teams during Fifa international break
Ghanaian quartet from Mirage Football Academy, had the opportunity to train with Canada and U.S. A senior men’s national teams during the Fifa International break as part of their development.
The players, Prince Owusu Afriyie, Edward Mensah, Eric Danquah and Samuel Odame joyfully trained with the Canadian senior national side and also played a friendly game against the United State of America men’s senior national team where they loss by four goals to nil.
The quartet, all featured for Montverde Academy in Orlando as they were hammered by the The Yanks.
Mirage Football Academy CEO, Sarpong Boateng Okyere expressed delight for his boys and the numerous exposure they have had so far during the international break.
”This is something we have to do in Ghana. We need to give our young players these kind of exposure and opportunities to train and play against our national national side to help boost their confidence and as well encourage them to realise their dreams of becoming future stars,” he told Sportsworldghana.com.
The players also took the opportunity to play against Brazilian Premier League side Flamengo as well as Panama senior national team during the international break.


🔥 It's Lit || Rice 🔥
-- Pls help!! I'm in search of The Litness. Where should I go? --
Weiss
| 1045839
Brown
| 32
Martel
| 29
Baker
| 25
McMurtry
| 19
Hanszen
| 15
Duncan
| 14
Lovett
| 10
Jones
| 0
Sid Rich
| nope
Will Rice
| sry but no


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--- layout: post status: publish published: true title: Fourier Transforms... author: display_name: ian login: ian email<EMAIL_ADDRESS>url: http://iancwill.com/blog author_login: ian author_email<EMAIL_ADDRESS>author_url: http://iancwill.com/blog wordpress_id: 23 wordpress_url: http://iancwill.com/blog/?p=23 date: '2008-12-03 21:09:00 -0700' date_gmt: '2008-12-03 21:09:00 -0700' ---
...one of the coolest things ever.


This version of the ML Editor outputs a question quality score. This score comes from a model trained to predict whether questions from writers.stackexchange.com would receive more upvotes than average. The questions in the dataset tend to be on the longer side (multiple sentences per question), so the model works best for longer examples.


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