Bill Comparison
| This Month | Last Month | Difference | |
|---|---|---|---|
| Weather | 28℃ | 31℃ | Down3℃ |
| Comsumption | 245.08t | 357.71t | Down112.6t |
| Difference Range | 31 | 31 | Same |
| This Month | Last Month | Difference | |
|---|---|---|---|
| Weather | 28℃ | 31℃ | Down3℃ |
| Comsumption | 245.08t | 357.71t | Down112.6t |
| Difference Range | 31 | 31 | Same |


SUBROUTINE SLAED2( K, N, N1, D, Q, LDQ, INDXQ, RHO, Z, DLAMDA, W, $ Q2, INDX, INDXC, INDXP, COLTYP, INFO ) * * -- LAPACK routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER INFO, K, LDQ, N, N1 REAL RHO * .. * .. Array Arguments .. INTEGER COLTYP( * ), INDX( * ), INDXC( * ), INDXP( * ), $ INDXQ( * ) REAL D( * ), DLAMDA( * ), Q( LDQ, * ), Q2( * ), $ W( * ), Z( * ) * .. * * Purpose * ======= * * SLAED2 merges the two sets of eigenvalues together into a single * sorted set. Then it tries to deflate the size of the problem. * There are two ways in which deflation can occur: when two or more * eigenvalues are close together or if there is a tiny entry in the * Z vector. For each such occurrence the order of the related secular * equation problem is reduced by one. * * Arguments * ========= * * K (output) INTEGER * The number of non-deflated eigenvalues, and the order of the * related secular equation. 0 <= K <=N. * * N (input) INTEGER * The dimension of the symmetric tridiagonal matrix. N >= 0. * * N1 (input) INTEGER * The location of the last eigenvalue in the leading sub-matrix. * min(1,N) <= N1 <= N/2. * * D (input/output) REAL array, dimension (N) * On entry, D contains the eigenvalues of the two submatrices to * be combined. * On exit, D contains the trailing (N-K) updated eigenvalues * (those which were deflated) sorted into increasing order. * * Q (input/output) REAL array, dimension (LDQ, N) * On entry, Q contains the eigenvectors of two submatrices in * the two square blocks with corners at (1,1), (N1,N1) * and (N1+1, N1+1), (N,N). * On exit, Q contains the trailing (N-K) updated eigenvectors * (those which were deflated) in its last N-K columns. * * LDQ (input) INTEGER * The leading dimension of the array Q. LDQ >= max(1,N). * * INDXQ (input/output) INTEGER array, dimension (N) * The permutation which separately sorts the two sub-problems * in D into ascending order. Note that elements in the second * half of this permutation must first have N1 added to their * values. Destroyed on exit. * * RHO (input/output) REAL * On entry, the off-diagonal element associated with the rank-1 * cut which originally split the two submatrices which are now * being recombined. * On exit, RHO has been modified to the value required by * SLAED3. * * Z (input) REAL array, dimension (N) * On entry, Z contains the updating vector (the last * row of the first sub-eigenvector matrix and the first row of * the second sub-eigenvector matrix). * On exit, the contents of Z have been destroyed by the updating * process. * * DLAMDA (output) REAL array, dimension (N) * A copy of the first K eigenvalues which will be used by * SLAED3 to form the secular equation. * * W (output) REAL array, dimension (N) * The first k values of the final deflation-altered z-vector * which will be passed to SLAED3. * * Q2 (output) REAL array, dimension (N1**2+(N-N1)**2) * A copy of the first K eigenvectors which will be used by * SLAED3 in a matrix multiply (SGEMM) to solve for the new * eigenvectors. * * INDX (workspace) INTEGER array, dimension (N) * The permutation used to sort the contents of DLAMDA into * ascending order. * * INDXC (output) INTEGER array, dimension (N) * The permutation used to arrange the columns of the deflated * Q matrix into three groups: the first group contains non-zero * elements only at and above N1, the second contains * non-zero elements only below N1, and the third is dense. * * INDXP (workspace) INTEGER array, dimension (N) * The permutation used to place deflated values of D at the end * of the array. INDXP(1:K) points to the nondeflated D-values * and INDXP(K+1:N) points to the deflated eigenvalues. * * COLTYP (workspace/output) INTEGER array, dimension (N) * During execution, a label which will indicate which of the * following types a column in the Q2 matrix is: * 1 : non-zero in the upper half only; * 2 : dense; * 3 : non-zero in the lower half only; * 4 : deflated. * On exit, COLTYP(i) is the number of columns of type i, * for i=1 to 4 only. * * INFO (output) INTEGER * = 0: successful exit. * < 0: if INFO = -i, the i-th argument had an illegal value. * * Further Details * =============== * * Based on contributions by * Jeff Rutter, Computer Science Division, University of California * at Berkeley, USA * Modified by Francoise Tisseur, University of Tennessee. * * ===================================================================== * * .. Parameters .. REAL MONE, ZERO, ONE, TWO, EIGHT PARAMETER ( MONE = -1.0E0, ZERO = 0.0E0, ONE = 1.0E0, $ TWO = 2.0E0, EIGHT = 8.0E0 ) * .. * .. Local Arrays .. INTEGER CTOT( 4 ), PSM( 4 ) * .. * .. Local Scalars .. INTEGER CT, I, IMAX, IQ1, IQ2, J, JMAX, JS, K2, N1P1, $ N2, NJ, PJ REAL C, EPS, S, T, TAU, TOL * .. * .. External Functions .. INTEGER ISAMAX REAL SLAMCH, SLAPY2 EXTERNAL ISAMAX, SLAMCH, SLAPY2 * .. * .. External Subroutines .. EXTERNAL SCOPY, SLACPY, SLAMRG, SROT, SSCAL, XERBLA * .. * .. Intrinsic Functions .. INTRINSIC ABS, MAX, MIN, SQRT * .. * .. Executable Statements .. * * Test the input parameters. * INFO = 0 * IF( N.LT.0 ) THEN INFO = -2 ELSE IF( LDQ.LT.MAX( 1, N ) ) THEN INFO = -6 ELSE IF( MIN( 1, ( N / 2 ) ).GT.N1 .OR. ( N / 2 ).LT.N1 ) THEN INFO = -3 END IF IF( INFO.NE.0 ) THEN CALL XERBLA( 'SLAED2', -INFO ) RETURN END IF * * Quick return if possible * IF( N.EQ.0 ) $ RETURN * N2 = N - N1 N1P1 = N1 + 1 * IF( RHO.LT.ZERO ) THEN CALL SSCAL( N2, MONE, Z( N1P1 ), 1 ) END IF * * Normalize z so that norm(z) = 1. Since z is the concatenation of * two normalized vectors, norm2(z) = sqrt(2). * T = ONE / SQRT( TWO ) CALL SSCAL( N, T, Z, 1 ) * * RHO = ABS( norm(z)**2 * RHO ) * RHO = ABS( TWO*RHO ) * * Sort the eigenvalues into increasing order * DO 10 I = N1P1, N INDXQ( I ) = INDXQ( I ) + N1 10 CONTINUE * * re-integrate the deflated parts from the last pass * DO 20 I = 1, N DLAMDA( I ) = D( INDXQ( I ) ) 20 CONTINUE CALL SLAMRG( N1, N2, DLAMDA, 1, 1, INDXC ) DO 30 I = 1, N INDX( I ) = INDXQ( INDXC( I ) ) 30 CONTINUE * * Calculate the allowable deflation tolerance * IMAX = ISAMAX( N, Z, 1 ) JMAX = ISAMAX( N, D, 1 ) EPS = SLAMCH( 'Epsilon' ) TOL = EIGHT*EPS*MAX( ABS( D( JMAX ) ), ABS( Z( IMAX ) ) ) * * If the rank-1 modifier is small enough, no more needs to be done * except to reorganize Q so that its columns correspond with the * elements in D. * IF( RHO*ABS( Z( IMAX ) ).LE.TOL ) THEN K = 0 IQ2 = 1 DO 40 J = 1, N I = INDX( J ) CALL SCOPY( N, Q( 1, I ), 1, Q2( IQ2 ), 1 ) DLAMDA( J ) = D( I ) IQ2 = IQ2 + N 40 CONTINUE CALL SLACPY( 'A', N, N, Q2, N, Q, LDQ ) CALL SCOPY( N, DLAMDA, 1, D, 1 ) GO TO 190 END IF * * If there are multiple eigenvalues then the problem deflates. Here * the number of equal eigenvalues are found. As each equal * eigenvalue is found, an elementary reflector is computed to rotate * the corresponding eigensubspace so that the corresponding * components of Z are zero in this new basis. * DO 50 I = 1, N1 COLTYP( I ) = 1 50 CONTINUE DO 60 I = N1P1, N COLTYP( I ) = 3 60 CONTINUE * * K = 0 K2 = N + 1 DO 70 J = 1, N NJ = INDX( J ) IF( RHO*ABS( Z( NJ ) ).LE.TOL ) THEN * * Deflate due to small z component. * K2 = K2 - 1 COLTYP( NJ ) = 4 INDXP( K2 ) = NJ IF( J.EQ.N ) $ GO TO 100 ELSE PJ = NJ GO TO 80 END IF 70 CONTINUE 80 CONTINUE J = J + 1 NJ = INDX( J ) IF( J.GT.N ) $ GO TO 100 IF( RHO*ABS( Z( NJ ) ).LE.TOL ) THEN * * Deflate due to small z component. * K2 = K2 - 1 COLTYP( NJ ) = 4 INDXP( K2 ) = NJ ELSE * * Check if eigenvalues are close enough to allow deflation. * S = Z( PJ ) C = Z( NJ ) * * Find sqrt(a**2+b**2) without overflow or * destructive underflow. * TAU = SLAPY2( C, S ) T = D( NJ ) - D( PJ ) C = C / TAU S = -S / TAU IF( ABS( T*C*S ).LE.TOL ) THEN * * Deflation is possible. * Z( NJ ) = TAU Z( PJ ) = ZERO IF( COLTYP( NJ ).NE.COLTYP( PJ ) ) $ COLTYP( NJ ) = 2 COLTYP( PJ ) = 4 CALL SROT( N, Q( 1, PJ ), 1, Q( 1, NJ ), 1, C, S ) T = D( PJ )*C**2 + D( NJ )*S**2 D( NJ ) = D( PJ )*S**2 + D( NJ )*C**2 D( PJ ) = T K2 = K2 - 1 I = 1 90 CONTINUE IF( K2+I.LE.N ) THEN IF( D( PJ ).LT.D( INDXP( K2+I ) ) ) THEN INDXP( K2+I-1 ) = INDXP( K2+I ) INDXP( K2+I ) = PJ I = I + 1 GO TO 90 ELSE INDXP( K2+I-1 ) = PJ END IF ELSE INDXP( K2+I-1 ) = PJ END IF PJ = NJ ELSE K = K + 1 DLAMDA( K ) = D( PJ ) W( K ) = Z( PJ ) INDXP( K ) = PJ PJ = NJ END IF END IF GO TO 80 100 CONTINUE * * Record the last eigenvalue. * K = K + 1 DLAMDA( K ) = D( PJ ) W( K ) = Z( PJ ) INDXP( K ) = PJ * * Count up the total number of the various types of columns, then * form a permutation which positions the four column types into * four uniform groups (although one or more of these groups may be * empty). * DO 110 J = 1, 4 CTOT( J ) = 0 110 CONTINUE DO 120 J = 1, N CT = COLTYP( J ) CTOT( CT ) = CTOT( CT ) + 1 120 CONTINUE * * PSM(*) = Position in SubMatrix (of types 1 through 4) * PSM( 1 ) = 1 PSM( 2 ) = 1 + CTOT( 1 ) PSM( 3 ) = PSM( 2 ) + CTOT( 2 ) PSM( 4 ) = PSM( 3 ) + CTOT( 3 ) K = N - CTOT( 4 ) * * Fill out the INDXC array so that the permutation which it induces * will place all type-1 columns first, all type-2 columns next, * then all type-3's, and finally all type-4's. * DO 130 J = 1, N JS = INDXP( J ) CT = COLTYP( JS ) INDX( PSM( CT ) ) = JS INDXC( PSM( CT ) ) = J PSM( CT ) = PSM( CT ) + 1 130 CONTINUE * * Sort the eigenvalues and corresponding eigenvectors into DLAMDA * and Q2 respectively. The eigenvalues/vectors which were not * deflated go into the first K slots of DLAMDA and Q2 respectively, * while those which were deflated go into the last N - K slots. * I = 1 IQ1 = 1 IQ2 = 1 + ( CTOT( 1 )+CTOT( 2 ) )*N1 DO 140 J = 1, CTOT( 1 ) JS = INDX( I ) CALL SCOPY( N1, Q( 1, JS ), 1, Q2( IQ1 ), 1 ) Z( I ) = D( JS ) I = I + 1 IQ1 = IQ1 + N1 140 CONTINUE * DO 150 J = 1, CTOT( 2 ) JS = INDX( I ) CALL SCOPY( N1, Q( 1, JS ), 1, Q2( IQ1 ), 1 ) CALL SCOPY( N2, Q( N1+1, JS ), 1, Q2( IQ2 ), 1 ) Z( I ) = D( JS ) I = I + 1 IQ1 = IQ1 + N1 IQ2 = IQ2 + N2 150 CONTINUE * DO 160 J = 1, CTOT( 3 ) JS = INDX( I ) CALL SCOPY( N2, Q( N1+1, JS ), 1, Q2( IQ2 ), 1 ) Z( I ) = D( JS ) I = I + 1 IQ2 = IQ2 + N2 160 CONTINUE * IQ1 = IQ2 DO 170 J = 1, CTOT( 4 ) JS = INDX( I ) CALL SCOPY( N, Q( 1, JS ), 1, Q2( IQ2 ), 1 ) IQ2 = IQ2 + N Z( I ) = D( JS ) I = I + 1 170 CONTINUE * * The deflated eigenvalues and their corresponding vectors go back * into the last N - K slots of D and Q respectively. * CALL SLACPY( 'A', N, CTOT( 4 ), Q2( IQ1 ), N, Q( 1, K+1 ), LDQ ) CALL SCOPY( N-K, Z( K+1 ), 1, D( K+1 ), 1 ) * * Copy CTOT into COLTYP for referencing in SLAED3. * DO 180 J = 1, 4 COLTYP( J ) = CTOT( J ) 180 CONTINUE * 190 CONTINUE RETURN * * End of SLAED2 * END


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Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.http://www.SolaceSystems.com |


This is an app built for one purpose: scrolling text files at a steady rate. It's handy for musicians or speakers who have text that needs to zip by in a certain amount of time, but don't want to have to keep swiping at their device.
If you're a musician or a speaker, it's time to ditch the paper. Upload or paste in all your speeches, presentations, guitar tabs - anything that's saved as a text file. Add in the length of each file, and your laptop, smartphone, or tablet will be able to scroll over each file, at the speed you need.
Prompt is for more than just text. It's compatible with most HTML tags, including formatting tags (like strong and em) and tables, so you can style your text. And since prompt preserves line breaks and displays in a monospaced font, you can embed ASCII tabs, or align chords with words in a song.
Sure, having your own personal teleprompter is handy. But when you're in the basement of a dive bar in the middle of nowhere, or in the middle of a packed conference, you really don't want to have to rely on a spotty internet connection. With prompt, everything is saved locally so you're good to go.
First, click NEW on the nav bar to add a text file. There's some required
information:
name: A memorable name, so you can find this later!
time: The time (in hrs:sec:min) to scroll your text
body: The actual text. This can include basic HTML formatting tags
like p, hr, em, or strong.
Choose a file from the Prompts page and press Play.
Play: Start or continue scrolling the text from the current position.
Pause: Pause scrolling. You can continue where you left off by pressing
play again.
Top: Scroll the text back to the top, ready to be played again.
Choose a file from the Prompts page and press Edit.
Delete: Permanently delete this text.
Save: After you make any edits to the time or text, make sure to save
your work!
If you just want to load up a speech and play it, you probably don't need any of this. If you're looking to do anything more involved, like saving an entire song list or moving things between devices, read on!
The easiest way to add a file is to do it manually, pasting in the name,
time, and body text. But if you want to add a bunch, that's pretty inefficient.
Instead, you can upload one or more files, and each one will be saved separately,
using the filenames as names.
To do that, go to the Prompts page, press Upload, and choose any text
file on your filesystem. Note that they don't have to be .txt files - anything
saved as plain text, like .html or .md is fine. Anything saved in a proprietary
format, like .doc or .pdf, WILL NOT WORK.
Also, note that choosing multiple files to upload is currently not working
on mobile devices. If you need to upload a few files, just do them one
at a time. If you need to upload a lot, do it on a computer, and import
the data (see below).
Prompt makes it easy to embed notes in your text files. Anywhere in your text file, put "==PROMPT NOTES==" before the notes, and "==NOTES END==" after. Make sure these are each by themselves on their own lines. Inside, you can put as much text as you want, and it'll all get pulled out of the main body and into the notes section during upload. Just make sure that, if you also include a JSON block, that still comes last.
You can include as many note blocks as you want, and each one will be separated by a horizontal line in the notes section. This makes it easy to add basic info to the top of your file, and append more notes at the bottom.
You can also add sections that won't get imported at all during upload. To do that, just surround the skippable text with "==PROMPT SKIP==" and "==END SKIP==".
Uploading files is great, but you have to manually add times and change names to each one. To save that kind of data in your text files, you can use a special data formatting style called JSON. JSON is a format that is pretty easy for both humans and computers to read. If you'd like to learn more about it, see json.org. Using it with prompt isn't that complicated though. At the VERY BOTTOM of your files, just add this text:
{ "PROMPT": { "name": "YOUR NAME", "time": "1:00" } }Make sure to include the brackets and commas, and to put double quotes around all values.
If you want to move your files between devices you have a couple options.
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To do that, go to the Import/Export page, and click Export on the device
you want to export from. This will create a prompt_export.json file. Save
that file in Dropbox or Google Drive, or email it to yourself, and Import
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have all your stuff!


Data submission
ProteomeXchange fully supports both MS/MS proteomics and SRM data submissions. Submissions of other types of proteomics data is also possible using the Partial Submission mechanism.
PRIDE - PRoteomics IDEntifications Database
PRIDE accepts both
The GUI based PX Submission Tool can be downloaded to start data upload.For detailed information, please consult the following documents
PeptideAtlas - PASSEL
SRM/MRM data can be submitted to PASSEL.
MassIVE
Shotgun proteomics data can be submitted to MassIVE.


John Moses Browning
The man who designed the 1911
Biography
John Moses Browning (January 23, 1855 – November 26, 1926) was an American firearms designer who developed many varieties of military and civilian firearms, cartridges, and gun mechanisms – many of which are still in use around the world. He made his first firearm at age 13 in his father's gun shop and was awarded the first of his 128 firearm patents on October 7, 1879, at the age of 24.[3] He is regarded as one of the most successful firearms designers of the 19th and 20th centuries and pioneered the development of modern automatic and semi-automatic firearms.
Browning influenced nearly all categories of firearms design. He invented, or made significant improvements to, single-shot, lever-action, and pump-action rifles and shotguns. Arguably, his most significant contributions were in the area of autoloading firearms. He developed the first reliable and compact autoloading pistols by inventing the telescoping bolt, then integrating the bolt and barrel shroud into what is known as the pistol slide. Browning's telescoping bolt design is now found on nearly every modern semi-automatic pistol, as well as several modern fully automatic weapons. He also developed the first gas-operated firearm, the Colt–Browning Model 1895 machine gun – a system that surpassed mechanical recoil operation to become the standard for most high-power self-loading firearm designs worldwide. He also made significant contributions to automatic cannon development.
Browning's most successful designs include the M1911 pistol, the water-cooled M1917, the air-cooled M1919, and heavy M2 machine gun, the Browning Automatic Rifle (BAR OR B.A.R.), and the Browning Auto-5 – the first semi-automatic shotgun. Some of these arms are still manufactured, often with only minor changes in detail and cosmetics to those assembled by Browning or his licensees. His guns are some of the most copied firearms in the world.
Here's a time line of John Browning's life:
- Jan. 23, 1855 - Birth of John Moses Browning in Ogden, Utah.
- Oct. 1869 - John assembled a slide rifle out of spare parts for his brother’s birthday.
- Spring, 1878 - John Browning begins work on his first single shot rifle.
- April 10, 1879 - John Moses Browning married Rachel Teresa Child.
- May 12, 1879 - The application for patent on the single shot rifle was filed.
- Oct. 7, 1879 - U.S. Patent No. 220,271 was granted to the single shot rifle.
- 1880 - With the aid of his brothers, John Browning established his arms factory.
- Mar. 20, 1882 - Patent application was filed on bolt-action repeating rifle with a tubular magazine.
- July 25, 1882 - U.S. Patent No. 261,667 was granted to the bolt action repeater.
- Sept. 13, 1882 - Patent filed on lever action, exposed hammer, tubular magazine rifle.
- Spring, 1883 - Mr. T.G. Bennett, Vice-President and General Manager of Winchester Repeating Arms Company, comes to Ogden, Utah Territory and forms an alliance that is to last nineteen years and is to change the course of firearms development. As part of the transaction, the Single Shot is sold to Winchester, and Mr. Bennett is assured of first rights on a new repeater. The Single Shot becomes the Winchester Model 1885.
- May 26, 1884 - Patent filed on lever action repeating rifle that employed sliding vertical locks.
- October 1884 - Patent No. 306,577 was granted on the new repeater and John, together with his brother Matt, traveled to New Haven to deliver what was to become the famous Winchester Model 1886.
- Feb. 16, 1886 - Patent No. 336,287 was granted on a lever action repeating shotgun. Known as the Winchester Model 1887, it was the first successful repeating shotgun.
- Mar. 28, 1887 - John leaves for Georgia to spend two years as a Mormon missionary.
- Dec. 13, 1887 - Patent was filed on a 22 caliber pump action repeating rifle. It has been called “the most popular 22 caliber pump action rifle ever made.” Patent No. 385,238 was granted on June 26, 1888. First marketed as the Winchester Model 1890.
- Fall, 1889 - Began development of the first models that were designed to employ the expanding gases behind the bullet to operate the action.
- Jan. 6, 1890 - John filed his first patent dealing with gas operation.
- June 30, 1890 Patent application was filed on a pump action repeating shotgun. Marketed as the Winchester Model 1893. A later take-down version was known as the Winchester Model 1897
- Aug. 3, 1891 Patents filed on two separate automatic gas operated guns.
- Nov. 7, 1892 - Filed first patents on the Colt Model 1895 Automatic Machine Gun. Earned the name “Browning Peacemaker” during the Spanish-American War.
- Jan. 19, 1894 - Filed patent on what would become the Winchester Model 1894, the first repeating action sporting rifle to handle smokeless powder cartridges. This rifle is ascribed by many to be the most popular high powered rifle ever built.
- Nov. 19, 1894 - Patent was filed on a lever action repeating rifle with a non-detachable box magazine designed for jacketed sharp-nosed bullets. Marketed as the Winchester Model 1895.
- Sept. 14, 1895 - Filed patent application on first semi-automatic pistol.
- Oct. 31, 1896 - 3 basic pistol patents were filed that concerned blowback action, a locked recoil system with a turning lock, and a locked recoil system with a pivoting lock.
- July 17, 1897 - A contract between Browning and Fabrique Nationale was signed which authorized the Belgium firm to manufacture a blowback operated, 32 caliber semi-automatic pistol for all markets outside the United States. Production commenced in 1899.
- Feb. 17, 1899 - Application for patent was filed on a single shot 22 caliber plinking rifle known as the Winchester Model 1900.
- Feb., 1900 - Colt placed a Browning designed 38 caliber recoil operated semi-automatic pistol on the market. It was the first semi-automatic pistol in the United States.
- Feb. 8, 1900 - The first of four patents were filed on the revolutionary autoloading shotgun. It would be manufactured by Fabrique Nationale in 1903 and by Remington Arms Company in 1905.
- Oct. 6, 1900 - The first successful autoloading high-power rifle received Patent No. 659,786. U.S. manufacturing and sales rights were granted to Remington Arms Company, and the rifle first appeared in 1906 as the Model 8.
- July 16, 1901 - Browning submitted a blowback operated 32 caliber semi-automatic pistol to Colt, who immediately accepted it. The marketing agreement stipulated that the pistol would be priced low enough to compete with the revolvers of the period.
- Jan., 1902 - In a disagreement about the public acceptability of the autoloading shotgun, John Browning severed his nineteen year relationship with T.G. Bennett of Winchester.
- Jan. 8, 1902 - An appointment was made to show the new shotgun to Mr. Marcellus Hartley of Remington. This meeting was cancelled by Mr. Hartley’s untimely death that afternoon.
- Feb., 1902 - With his autoloading shotgun securely tucked under his arm, John Browning embarked on his first ocean voyage. He would offer the new shotgun to Fabrique Nationale.
- Mar. 24, 1902 - A contract was signed granting FN exclusive world rights to manufacture and sell the autoloading shotgun.
- July 10, 1903 - Patent application was filed on a pump action shotgun that would become the Stevens Model 520.
- Summer, 1903 - At the request of FN, Browning developed a 9mm military semi-automatic pistol.
- 1904 - In the face of restrictive tariffs, FN agreed to cede to Remington the rights to manufacture and sell the autoloading shotgun in the United States.
- June 21, 1909 - The application for a patent on a 25 caliber semi-automatic pistol was filed. It has been manufactured and sold by both FN and Colt. It was part of the Browning Arms Company line from 1955 to 1969.
- Feb. 17, 1910 - Patents were filed on a 45 caliber semi-automatic pistol. It served as the official United States military sidearm for almost 75 years.
- Nov. 26, 1913 - Filed patent on a pump shotgun that would be marketed as the Remington Model 17. It was John M. Browning’s last repeater-type shotgun.
- Jan. 6, 1914 - Patents were granted and production began on a semi-automatic 22 caliber rifle. Remington also produced this rifle as the Model 24.
- Feb. 27, 1917 - First public demonstration on the Browning 30 caliber Heavy Machine Gun at Congress Heights, Washington, D.C.
- July, 1917 - Began work on the 50 caliber Water Cooled Machine Gun. Completed too late for World War I, this weapon played a prominent role in World War II and Korea.
- Aug. 1, 1917 - Application for patent filed on the Browning Automatic Rifle. The B.A.R. first saw combat in 1918.
- July 26, 1919 - Patent application filed on a 22 pump action rifle that would be produced exclusively by Fabrique Nationale.
- Early 1921 - John M. Browning began work on his first 37mm Aircraft Cannon.
- Oct. 15, 1923 - The first of two patents were filed on the Superposed Over/Under shotgun.
- June 28, 1923 - Patent application was filed on a 9mm short-recoil, locked-breech, exposed-hammer semi-automatic pistol. This was John M. Browning’s last pistol development.
- Nov. 26, 1926 - John Moses Browning died of heart failure at Liege, Belgium. The great gunmaker had laid down his tools.
- Today - Browning remains a major player in the international firearms, gun safe, outdoor clothing and sporting goods industry. Browning, along with Winchester Repeating Arms, FNH USA and FNM are owned by Fabrique Nationale, located in Herstal, Belgium.
John Browning passed away in his shop in 1926, working on an over/under shotgun he called the Superposed. It would be the first affordable over/under shotgun of the time, and it is responsible for much of the over/under shotgun’s popularity today. During his lifetime, no Browning gun ever failed a military evaluation, and no gun put into production became anything less than an unqualified commercial success. He laid the foundation upon which nearly all modern firearms have been built. He was a master of his craft and one of the few innovators in history who was truly peerless.
"Anthony is very hands-on, participating in everything from formulating discovery requests to the opposing side to discussing trial strategy, ... A lot of his value to the company is managing litigation; it's also keeping an eye on the bottom line, the costs."
-- John Browning --


Give us the full story. Tell us what you initially called 311 to report, how it was resolved, if it required any follow-up reports, what was done incorrectly, whether the issue is still outstanding, etc.
The best thing we can have to back up your story and get the city to see the problem is your ticket history. You probably received a text message with a number in the form 14-00000000. Use the "Add 311 Ticket" button to add as many tickets to your story as applicable. If you don't have the ticket numbers, you can use this section to detail individual 311 calls and their approximate dates. See an example.
14-00000000


Various estimation methods for causal inference based on inverse probability weighting. Specifically, the package includes methods for estimating average treatment effects as well as direct and indirect effects in causal mediation analysis. The models refer to the studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, and Froelich and Huber (2017) <doi:10.1111/rssb.12232>.
| Version: | 0.1.2 |
| Depends: | mvtnorm, np |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-12-01 |
| Author: | Hugo Bodory and Martin Huber |
| Maintainer: | Hugo Bodory <hugo.bodory at unifr.ch> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | causalweight results |
| Reference manual: | causalweight.pdf |
| Vignettes: |
The causalweight Package |
| Package source: | causalweight_0.1.2.tar.gz |
| Windows binaries: | r-devel: causalweight_0.1.2.zip, r-release: causalweight_0.1.2.zip, r-oldrel: causalweight_0.1.2.zip |
| OS X binaries: | r-release: causalweight_0.1.2.tgz, r-oldrel: causalweight_0.1.2.tgz |
| Old sources: | causalweight archive |
Please use the canonical form https://CRAN.R-project.org/package=causalweight to link to this page.


Logo for Lambda-Lab, housed in the TU Delft Web Information Systems Group.
Official Poster for Oustaz (2016), directed by Bentley Brown.
Logo for the Car Barn Studios design firm.
Official Poster for Blink If You Can Hear Me (2015), directed by Nathan Danskey and Bentley Brown. [Watch]
Montage from a road trip featuring John, Bentley, and Nathan. DC → NYC → Boston → Burlington → Montreal → Quebec City → Cape Breton Island → Portland
Recap montage from Georgetown Media Fest, where an annual interactive gallery event where students can showcase their musical, art, performance, or film work to the community.
Music video for "Shukran My Totem" by Mosno al-Moseeki, from the album NOVELLA (Tarvo Music Productions) available on mosno.net. Storyboard, production and direction by Bentley Brown. Co-production by Nathan Danskey.
Poster I made for Georgetown's password change initiative.
For when I describe one of my favorite learning concepts.
For when I had to explain what a MOOC was.
For when I talk about metacognition.
I'm really fascinated by sociolinguistics.
Proposing a multimodal learning study using eye tracking and EEG in online learning environments.
Logo and tee shirt design for Georgetown's Graduate Student Organization, where I was Directory of Technology and Web Development for a year.
Promoting Hoya Roundtables, where Georgetown students and administrative leaders get together to discuss areas of student interest.
Poster presented at Educause 2014 showing the GeorgetownX Integrative Learning Approach.
Visualizing the spread of technology-enhanced instructional strategies throughout Georgetown.
Promoting the use and awareness of Georgetown's collection of design studio spaces.
My rendition of the Innovation Adoption Cycle.
My visual rendition of the long nose of innovation.


Bluetooth Scanner
Advanced Environment Scanning
3D Mapper (beta)
Geolocation
Rotation
Scan & Export Table Data
Continuous
Left to Right
Single Point
Average
Scan and Graph Through Browser
Bottom Upwards
Left to Right
Single Point
Average
Testing Performance Through Browser
Painter
Logger


# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Export Keras models to the local device.
"""
import os
from typing import Any, List
from tensorflow.keras import Model
from sparseml.utils import clean_path, create_parent_dirs, tensors_export
try:
import keras2onnx
keras2onnx_import_error = None
except Exception as keras2onnx_error:
keras2onnx_import_error = keras2onnx_error
__all__ = ["ModelExporter"]
DEFAULT_ONNX_OPSET = 11
[docs]class ModelExporter(object):
"""
An exporter for exporting Keras models into ONNX format
as well as numpy arrays for the input and output tensors.
:param model: the module to export
:param output_dir: the directory to export the module and extras to
"""
def __init__(
self,
model: Model,
output_dir: str,
):
self._model = model
self._output_dir = clean_path(output_dir)
[docs] def export_onnx(
self,
name: str = "model.onnx",
opset: int = DEFAULT_ONNX_OPSET,
doc_string: str = "",
debug_mode: bool = True,
**kwargs,
):
"""
Export an ONNX file for the current model.
:param name: name of the onnx file to save
:param opset: onnx opset to use for exported model. Default is 11
:param doc_string: optional doc string for exported ONNX model
:param debug_mode: debug mode, default to True, passed into `convert_keras`
:param kwargs: additional parameters passed into `convert_keras`
"""
if keras2onnx_import_error is not None:
raise keras2onnx_import_error
model_name = self._model.name or name.split(".onnx")[0]
onnx_model = keras2onnx.convert_keras(
self._model,
name=model_name,
target_opset=opset,
doc_string=doc_string,
debug_mode=debug_mode,
**kwargs,
)
onnx_path = os.path.join(self._output_dir, name)
create_parent_dirs(onnx_path)
keras2onnx.save_model(onnx_model, onnx_path)
[docs] def export_keras(self):
"""
Export the model Keras files to the output_dir/keras directory
"""
keras_path = os.path.join(self._output_dir, "keras")
self._save_keras(keras_path)
[docs] def export_h5(self, name: str = "model.h5"):
"""
Export the Keras model as a single HDF5 file in the output_dir/keras
directory
:param name: name to export file with. default is model.h5
"""
if not name.endswith(".h5"):
name += ".h5"
h5_path = os.path.join(self._output_dir, "keras", name)
self._save_keras(h5_path)
def _save_keras(self, file_path: str):
create_parent_dirs(file_path)
self._model.save(file_path)
[docs] def export_samples(
self,
sample_batches: List[Any],
sample_labels: List[Any] = None,
exp_counter: int = 0,
):
"""
Export a set list of sample batches as inputs and outputs through the model.
:param sample_batches: a list of the sample batches to feed through the module
for saving inputs and outputs
:param sample_labels: an optional list of sample labels that correspond to the
the batches for saving
:param exp_counter: the counter to start exporting the tensor files at
"""
inputs_dir = os.path.join(self._output_dir, "_sample-inputs")
outputs_dir = os.path.join(self._output_dir, "_sample-outputs")
labels_dir = os.path.join(self._output_dir, "_sample-labels")
for batch, lab in zip(
sample_batches,
sample_labels if sample_labels else [None for _ in sample_batches],
):
out = self._model.predict(batch)
exported_input = tensors_export(
batch,
inputs_dir,
name_prefix="inp",
counter=exp_counter,
break_batch=True,
)
if isinstance(out, dict):
new_out = []
for key in out:
new_out.append(out[key])
out = new_out
exported_output = tensors_export(
out,
outputs_dir,
name_prefix="out",
counter=exp_counter,
break_batch=True,
)
if lab is not None:
tensors_export(
lab, labels_dir, "lab", counter=exp_counter, break_batch=True
)
assert len(exported_input) == len(exported_output)
exp_counter += len(exported_input)


Softmax is used in categorisation problems in neural networks to map the final layer of neurons from scalar input values to a probability distribution over different categories
In this example the input values for each category can vary on a scale from 0 up to 10 - move the sliders to change the values
The sourcecode for this is available on github here - github.com/wjsrobertson/softmax-slider


 We help you to improve yourself. You'll have fun!
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₹ 599This plan is for people who know basics
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₹ 699Perfect Plan for the begineers who wants to grow from scratch
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As an entry to the club, you all will be issued with an unique code that lets you get the access to the club. We at the start of your trial membership we issue a temporary code which will only be valid for 15 days and for the continuity you need to pay the renewal fee and we will provide you with the permanant code. Join us to bring in your potential. We help you get trained in all parts of your brain
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In our club, there is an infinite possibilities to get experience in every fields that you want to grow where we are having all kinds of people from different fields across the world. We are the big fans of communication hence, we thrive in providing the real world class to your daily life by being active in Social Media as well as great in your network of people.
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Buy a headless man
{{#if message}}
{{{message}}}
{{else}}
This button has the {{idCalled}} ({{clientId}}) as a data attribute,
and clicking will {{#unless sendClientId}}NOT {{/unless}}
send this with
{{#if recharge}}
the URL parameters to be added to the ReCharge cart
{{else}}
the Shopify checkout
{{/if}}.
{{/if}}


CMD
or Terminal
, point the path to your designed folder.cd Email-template-guide
npm i
(i
stands for install
)Now, run gulp
from same CMD window. It will open the project server:
Project
- http://localhost:3000/
Styleguide
- http://localhost:3001/
Continue working, as soon as you save - it will compile CSS, and Refresh HTML too.
gulp
- Compiles the development files and generate the production ready files.gulp styleguide
- Generate the styleguides with styleguide folder on root path.


Generated Fri Feb 15 11:28:09 AEST 2019. FHIR version 4.0.0 for 3.0.1
| Filename | Errors | Information messages & Warnings |
| Build Errors | 7 | 0 |
| C:\work\git\ci-fhir-stu3-test\resources\encounter-es-1 | 2 | 0 |
| C:\work\git\ci-fhir-stu3-test\resources\implementationguide-eventsummary-1 | 0 | 0 |
| ?? | error | The reference http://hl7.org.au/fhir/StructureDefinition/encounter-description could not be resolved |
| StructureDefinition-encounter-es-1-definitions.html#/html/body/div/div/div/div/div/table/tr/td/p/a at Line 180, column 231 | error | The link '' for "StructureDefinition.url" cannot be resolved |
| StructureDefinition-encounter-es-1-definitions.html#/html/body/div/div/div/div/div/table/tr/td/a at Line 379, column 153 | error | The link 'file:C:\work\git\Test-CI-FHIR-STU3\Profile-Library/StructureDefinition-patient-ident-1.html' for "PatientIdent" cannot be resolved |
| StructureDefinition-encounter-es-1.html#/html/body/div/div/div/div/div/div/div/div/div/table/tr/td/a at Line 287, column 1428 | error | The link 'file:C:\work\git\Test-CI-FHIR-STU3\Profile-Library/StructureDefinition-patient-ident-1.html' for "Patient with Mandatory Identifier" cannot be resolved |
| StructureDefinition-encounter-es-1.html#/html/body/div/div/div/div/div/div/div/div/div/table/tr/td/a at Line 334, column 1615 | error | The link 'file:C:\work\git\Test-CI-FHIR-STU3\Profile-Library/StructureDefinition-patient-ident-1.html' for "Patient with Mandatory Identifier" cannot be resolved |
| StructureDefinition-encounter-es-1.html#/html/body/div/div/div/div/div/div/div/div/div/table/tr/td/a at Line 531, column 1428 | error | The link 'file:C:\work\git\Test-CI-FHIR-STU3\Profile-Library/StructureDefinition-patient-ident-1.html' for "Patient with Mandatory Identifier" cannot be resolved |
| StructureDefinition-encounter-es-1.html#/html/body/div/div/div/div/div/div/div/div/div/table/tr/td/a at Line 576, column 1615 | error | The link 'file:C:\work\git\Test-CI-FHIR-STU3\Profile-Library/StructureDefinition-patient-ident-1.html' for "Patient with Mandatory Identifier" cannot be resolved |
| Path | Severity | Message |
| encounter-es-1 | error | encounter-es-1: Unable to find Extension 'http://hl7.org.au/fhir/StructureDefinition/encounter-description' referenced at http://ns.electronichealth.net.au/ci/fhir/3.0/StructureDefinition/encounter-es-1 differential Encounter.extension (encounterDescription) |
| encounter-es-1 | error | encounter-es-1: Unable to find Extension 'http://hl7.org.au/fhir/StructureDefinition/encounter-description' referenced at http://ns.electronichealth.net.au/ci/fhir/3.0/StructureDefinition/encounter-es-1 snapshot Encounter.extension (encounterDescription) |
| No Issues |


--- layout: post title: Jakob Dylan l Costa Rica date: 2009-01-26 18:03:17.000000000 +09:00 type: post parent_id: '0' published: true password: '' status: publish categories: [] tags: - q. meta: _original_post_id: '40025849' _original_import_author: sheepless_ original_post_id: '40025849' _wp_old_slug: '40025849' author: login: mouthless email<EMAIL_ADDRESS>display_name: mouthless first_name: '' last_name: '' excerpt: "- 새해 복 많이 받으세요. Jakob Dylan이라는 이건 엄친아도 아니 , 엄친아의 아들이라 해야하나? 한량하기 그지 없는 노래입니다. 여긴 청주에서 서울 올라오는 길이 6시간이라 그런가 ..." ---
- 새해 복 많이 받으세요.
Jakob Dylan이라는
이건 엄친아도 아니고, 엄친아의 아들이라고 해야하나?
한량하기 그지 없는 노래입니다.
여긴 청주에서 서울 올라오는 길이 6시간이라 그런가
저도 가서 수트케이스 던져버리고 퍼져 있고 싶은 마음이 쿨럭거리는군요.
[#M_+|-|Lay your worries Now tired eyes Now Costa Rica Now thumb nail moon Now Costa Rica Now every moments Now when the nights
Down at your door
Now my loves
Like an open shore
Throw your suitcase
Sweetheart overboard
In winter clothes
You ain't got nothing
You can't let go
Now tell your mother
You love her
She already knows
We got nothing to do
Yeah
When the nights
Hang dark
And the sun
Won't burn
You may or may not
Ever return
Going under with you
Hanging high
So quiet up
There shining bright
Now dance a little
And share
This bottle of wine
No more ups
No more downs
Now love of someday
Has just come around
Watching the clouds
Flowing by while
Our skins
Turning brown
We got
Nothing to do
Yeah
When the nights
Hang dark
And the sun
Won't burn
We may or may not
Ever return
Going under
With you
Been leading to this
We're going somewhere
We won't be missed
Now roll us
Under the waves
With one last kiss
Hang dark
And the sun
Don't burn
We May or may
Not ever return
Costa Rica
With you, with you
May not we may not
Ever return
May not we may not
Ever return
May not we may not
Ever return
May not we may
Not ever return
_M#]
- 그래도 왠지 코스타리카에서
Not ever return 하긴 좀 그런가.


Manchester City lose financial fair play appeal to prevent Uefa investigating allegations
by Michael SearlesManchester City’s efforts to block a Uefa investigation into financial fair play violations have been rejected by the Court of Arbitration for Sport (CAS).
City had asked CAS to throw out the case brought against the club by Uefa for allegedly breaching financial fair play rules.
But CAS has rejected City’s appeal and now the case is set to be heard by the adjudicatory chamber of Uefa’s Club Financial Control Board.
“CAS ruled that the appeal filed by Manchester City football club is inadmissible,” CAS general secretary Matthieu Reeb said.
Reigning back-to-back Premier League champions City lodged the appeal with CAS in June on the basis that there were not legitimate grounds for an investigation to take place.
But a three-man panel ruled in Uefa’s favour.
It means the governing body can now begin their probe into allegations that City breached FFP rules, which if found guilty, could result in expulsion from the Champions League.
Under the FFP rules, clubs are not allowed to spend more than the revenue they generate up to a specific amount.
But City are alleged to have used sponsorship money from their owners as a way around the rules, according to a report in Der Speigel.
It comes less than two weeks after English Premiership Rugby champions Saracens were handed a 35-point deduction and £5.4m fine for breaching salary cap regulations.
City have previously denied all allegations against them.
The verdict from Uefa’s investigation is expected to be announced next month, although the Athletic report that City will not be banned from the Champions League.


The most obvious thing about equation (1) is its
fixed point
| (5) |
Stability of the fixed point requires that this matrix should be negative definite. Since the are all negative by virtue of (3), each minor determinant of this matrix is equal to a minor determinant of multiplied by a positive number, stability of the equilibrium is equivalent to being negative definite.
A weaker condition is to require that the system remain bounded with
time:
As becomes large in any direction, this functional is dominated by the quadratic term, so this implies that . Negative definiteness of is sufficient, but not necessary for this condition. For example, the predator-prey relations (heavily normalised) have the following matrix as : which has eigenvalues . If we let , then , which is clearly non-positive for all .
Consider adding a new row and column to . What is condition is
the new row and column required to satisfy such that equation
(6) is satisfied. Break up in the following
way:
Condition (6) becomes:
Let
The maximum value with respect to is
, so
this requires that


STARWARS - Darkspace Battles
Players:
Select your Player
Vader
Select
Clone
Select
Dooku
Select
Yoda
Select
Obi-Wan
Select
Luke
Select


Beginner level to professinal level topics
Beginner level to professinal level topics.
Cover on topics in which most of Developer facing issues.


Profile
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Bio Graph
Name : {{professor.get_name}}
Known as : {{professor.get_popular_name}}
Branch: {{professor.get_branch}}
College : {{professor.get_college}}
Areas of Interest : {{professor.get_area_of_interest}}
Email :{{professor.get_email}}
Best known for : {{professor.get_best_known_for}}
Courses taught : {% for list in coursesList %}{{list}} {% endfor %}
Phone : {{professor.get_mobile_number}}
Qualifications : {% for list in qualificationsList %}{{list}} {% endfor %}
Rate : {{rate.get_rate}}


T h e
a c a t i o n i s t
"
A vacation is what you take when you can no longer take what you've been taking".
—Earl Wilson
To help you find your ideal vacation destination, please fill out this survey.
Name
Which weather conditions would you like to experience?
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Select a continent
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! It looks like your perfect destination could be
.
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with a detailed list of recommendations for this destination.
Thank you using The Vacationist!


by Rain V
Posted on June 17, 2019 at 3:02 PM
Today, during our computer science class, we downloaded the iNaturalist app. Our teacher, Ms. Marion, sent us to go find different living things and record them using the app. Afterwards, we have to give our opinions on it.
iNaturalist is a free educational application available on the iOS. After creating an account, you take images of the local flora and fauna using the app's camera. You then fill out details about what you've taken a picture of. If you don't know anything about what you've taken a picture of, both the app and the community can try helping you out with the details.
It's pretty easy to navigate the app. You aren't required to fill anything out in the observation form and looking through the observations of other users is simple.
I finally found out the name of a plant I've been seeing around the campus.
By using the iNaturalist app, I was able to learn about the Hesperaloe species, which I enjoyed seeing the flower of as I walked to class.
While I was camping during the weekend, I found something interesting!
It was a small Porteguese Man-O-War, which I saw on the beach while waking up at 5 in the morning!


A bottom navigation element, designed to comply with the Material Design specifications.
The app-bottom-nav element should only have between 3 and 5 app-bottom-nav-item elements. The value of "selected" should match one of the labels.
NOTE: By default, this demo will only be visible when the viewport is narrower than 640px. This is the default app-drawer-layout responsive width and means the app-bottom-nav will show when the app-drawer retracts. To overcome this function, the paper-buttons below can override the visible state of the app-bottom-nav.
This same demo is available with 3 elements here.
The abn-demo icons used in this demo can be found in demo-icons.html.


--- layout: post title: The battlefield, aftermath date: '2013-11-05T07:30:56+01:00' categories: - Aljubarrota - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/66088732878/the-battlefield-aftermath ---
The battlefield, aftermath.


--- layout: page title: About header-img: "img/about-bg.png" ---
I am a full time social worker who decided it's time for a career. Here are my chronicles for the next 10 months.


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LAMERICA A film review by Steve Rhodes Copyright 1996 Steve Rhodes
RATING (0 TO ****): * 1/2
LAMERICA is a bleak picture about modern day Albania, which is an oxymoron. The Albania shown in this film, which I have no reason to believe is inaccurate, is a dreary place of abject poverty - sort of the antithesis of a vacation haven. Shows about measurable conditions can be interesting and rewarding. Consider TAXI DRIVER, TO LIVE, GERMINAL, BRAZIL, and STALINGRAD among others. LAMERICA's purpose, on the other hand, seems to be to shock us with the poverty while weaving an opaque tale.
The show starts promisingly with great old newsreel footage of the Italians taking over impoverished Albania in the 1930s. They merged the countries for the duration of the war.
The film then switches to 1991 in Albania when the chains of Communism are finally broken. This means that foreigners are free to come in and bring their money, but since most of the same corrupt politicians are in power, Albanian buses are stopped at the borders to prevent Albanians from leaving. The show has a plethora of scenes of the staring masses either charging for food donations like animals of sitting around staring at the strange foreigners with morbid fascination.
Into this land of despair comes two Italian con men named Fiore (Michele Placido) and his assistant Gino (Enrico Lo Verso who was excellent in FARINELLI). Their specialty is taking money from the Italian government ostensibly for relief work for building factories in third world countries. They skim most of the money off of the top and use the rest to buy a little equipment for the factories.
Their last company was in Nigeria where their specialty was not building televisions sets. They never even built one, but they couldn't be held accountable if those Nigerians did not prove to be successful television set factory workers.
In Albania they go looking for an anti-Communist hero to appoint as the titular head of their shell company. They search in an ex-prison that has been turned into an old age home. The old age homes are dark and worse than most concentration camp pictures I have seen. The people all have a quarter of an inch of caked on dirt, they walk like zombies from a low budget horror picture, and many have missing limbs. The con men find a senile, 80 year old named Spiro Tozai, a.k.a. Michele Talarico (Carmelo Di Mazzarelli), who says he is 20, and they make him the chairman of their firm. The film is by director Gianni Amelio, who did the unusual STOLEN CHILDREN, and the influence from that film shows in the old age home scene.
The script by Gianni Amelio, Andrea Porporati, and Alessandro Sermoneta is overly earnest and not very memorable, but it does have one good line I remember. When Gino is at the big hotel in Albania, he tells his Albanian contact Selimi (Piro Milkani) that he is going to take a shower. Selimi gives him that not-in-this-country-you-don't look, and explains, "Sorry. No water today. Today holiday. Maybe tomorrow."
The rest of the show focuses in on Gino chasing Spiro as he tries to escape to Italy. The other part of the plot is that Spiro has a fairly easy to guess secret which Gino finds out about. The show can be quite mean spirited as young kids, about age 7, steal Spiro's shoes and then put him in a hut where they try to torture and asphyxiate him with torches and smoke. They do not manage to kill him, but they come close. I was not impressed with any of the acting, but Carmelo Di Mazzarelli's performance was the most obscure and least effective of the bunch.
LAMERICA runs way too long at 1:55. It is in Italian and some Albanian, all with English subtitles. The film is not rated. Given some of the strong images and the adult themes, it would probably get an R, but perhaps it could qualify for a PG-13. It would be fine for any teenager. This is the sort of art house film with which many critics and art house patrons resonate. To me, however, it is nothing more than a chronology of poverty without a compelling script. I know the writers and director wanted me to feel sorry for the Albanians. I do. More than that, I see little purpose in the film. You can overpraise a bad artistic film and no one will care, but dislike an earnest one like this, and people are up in arms over the critic's "stupidity." I once gave a mediocre review to BURNT BY THE SUN, and I think half the Russians in the world wrote me unflattering letters. Finally, I give the film * 1/2 for its seriousness.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEW WRITTEN ON: May 13, 1996
Opinions expressed are mine and not meant to reflect my employer's.
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


[[Workloads|Section label shown on overview page]]
[[Workloads Statuses|Label 'Resource Statuses' for the resource status section on overview page.]]
[[Discovery and Load Balancing|Section label shown on overview page]]
[[Config and Storage|Section label shown on overview page]]


--- body_id: welcome-platform ---
Create automated, interactive, and engaging conversations via text and voice messaging with thousands of patients. Use our evidence-based disease management programs to educate and empower your patients.
No software to install, no computer expertise to get started, no servers or IT management to worry about. Access our secure platform from any device with an internet connection.
Our team of medical doctors and public health professionals is constantly creating new cutting-edge programs designed to help patients manage a wide range of chonic conditions.
View Programs


|
VPL
|
#include <vprobot.h>
Public Member Functions | |
| virtual bool | init () |
| virtual void | getCurrentConfiguration (std::vector< double > &q)=0 |
| virtual bool | moveToConfiguration (std::vector< double > configuration)=0 |
| virtual bool | setVelocities (std::vector< double > velocities)=0 |
| virtual float | executeTrajectory (std::vector< std::vector< double > > controls, double delta_t, std::vector< double > goal_q)=0 |
| virtual float | executeMovement ()=0 |
| virtual void | updateRobotLocalization (mrpt::poses::CPose3D transformation)=0 |
| virtual void | getHTMfromConfiguration (BoostMatrix &HTM, std::vector< double > q)=0 |
| virtual void | getPoseFromConfiguration (mrpt::poses::CPose3D &pose, std::vector< double > q)=0 |
| void | getCurrentHTM (BoostMatrix &HTM) |
| void | getCurrentPose (mrpt::poses::CPose3D &pose) |
| void | getPoseFromConfiguration (std::vector< double, std::allocator< double > > &pose, std::vector< double, std::allocator< double > > q) |
| void | getInfo (std::string &inf) |
| bool | executePath () |
| void | setConfigFolder (std::string folder) |
| void | setDataFolder (std::string folder) |
| void | setLowerState (std::vector< double > state) |
| void | setUpperState (std::vector< double > state) |
| void | setStateDim (int dim) |
| void | getRandomState (std::vector< double > &state) |
| int | getConfigDimension () |
| int | getInputDim () |
Public Attributes | |
| std::vector< std::vector< double > > | pathToExecute |
| std::vector< std::vector< double > > | trajectoryToExecute |
| double | deltaT |
| std::vector< double > | goalConfig |
Protected Attributes | |
| int | configurationDim |
| Configuration size of the robot. | |
| int | stateDim |
| State Dimension. | |
| int | inputDim |
| input Dimension; | |
| std::vector< double > | lowerState |
| std::vector< double > | upperState |
| std::string | info |
| bool | ready |
| bool | verbose |
| std::string | configFolder |
| std::string | dataFolder |
| std::string | configFile |
Class for the description of a robot. Units: mts y radians
|
pure virtual |
Stored movement in trajectory or path. Trajectory of path is executed depending on the robot capabilities Requires a path and a trajectory stablished in pathToExecute and trajectoryToExecute
Implemented in vprFreeFlyer.
| bool vpRobot::executePath | ( | ) |
Calls repeately to moveToConfiguration
|
pure virtual |
Returns the current configuration
| void vpRobot::getCurrentHTM | ( | BoostMatrix & | HTM | ) |
Gets the transformation matrix for the end effector of the robot. A point seen from the end effector frame reference must be multiplied by this HTM
| HTM | [out] Matrix of 4x4 |
| void vpRobot::getCurrentPose | ( | mrpt::poses::CPose3D & | pose | ) |
Gets the end effector pose
|
pure virtual |
| void vpRobot::getInfo | ( | std::string & | inf | ) |
Returns information about the robot
| void vpRobot::getPoseFromConfiguration | ( | std::vector< double, std::allocator< double > > & | pose, |
| std::vector< double, std::allocator< double > > | q | ||
| ) |
Used for convinience Just call to getPoseFromConfiguration
| void vpRobot::getRandomState | ( | std::vector< double > & | state | ) |
Gets a random state between lower and upper states
|
virtual |
Initialices the robot, for example the comunication
Reimplemented in vprFreeFlyer.
|
pure virtual |
Replaces the current configuration with the given configuration There is no movement TODO for all derived classes The robot moves to a configuration. The movement is directly. No collision is checked. The robot moves by its own planning
|
pure virtual |
For physical robot
Implemented in vprFreeFlyer.
|
pure virtual |
Translates the location of the robot
Implemented in vprFreeFlyer.


View the library of solutions.
Haven't you always wanted to find a grail, be it a grail-shaped beacon or the real thing? Now is your chance. Adventure awaits as you defeat a killer rabbit, appease the Knights Who Say Neet, and cross the bridge of death. You will learn how to tell if someone is a witch, understand the difference between an African and a European swallow, and maybe even collect some lovely filth along the way.


---
layout: home-layout
ref: index
lang: en
menuitem: Home
priority: 1
requiresSemanticCard: true
---
The mission of the cryptocurrency.
The introduction of the blockchain appeared since the beginning as a revolutionary step for mankind.
The principles of trustlessness, decentralization, immutability of transactions and of the initial money emission conditions, the exclusion of the middlemen and relative costs are all breathtaking concepts indeed especially because they have been practically realized in the delivered code that everybody can verify by himself.
Bitcoin and the other cryptocurrencies that were trying to develop and improve the initial idea have become very popular over time. Many people all around the world are already making part of the movement both as developers and as traders/hodlers.
However more than one decade after the initial launch it seems to be clear that no incisive real world use of the cryptocurrencies has been realized so far.
Thus the speculative potential of the cryptocurrencies has become the main focus for the majority of its users.
We believe that the cryptocurrency has yet the undiscovered or at least not clearly formulated mission - to improve the people's lives by financing the technological and humanitarian projects that can't be funded by traditional tools.
Slimcoin in context of cryptocurrency mission.
Since some year we are working on the token that will be launched, together with the specifically designed Dex, on Slimcoin's blockchain using peerassets technology.
The technology behind the token is our original idea.
The token will be issued in a completely decentralized and fair way and will be initially used as financial support for Slimcoin's development.
However we are seeing many other practical opportunities for our token in context of our cryptocurrencies' mission vision.
In fact our token was originally a result of many years of research in the third sector area and was meant as a solution to the most complex challenges on that field.
Thus the projects as OpenCharity, OpenTechnology, OpenDesign, OpenInfrastructure and many others may arise using our token as soon as Slimcoin's development is aligned once again with the current industry standards.
To keep in touch with us and to be updated about the most recent developments of our project or to participate in the token's and Dex's tests please consider subscribing to our Discord channel.


Find the first file matching a given pattern in the current directory or the nearest ancestor directory.
Install the module with: npm install findup-sync
var findup = require('findup-sync');
// Start looking in the CWD.
var filepath1 = findup('{a,b}*.txt');
// Start looking somewhere else, and ignore case (probably a good idea).
var filepath2 = findup('{a,b}*.txt', {cwd: '/some/path', nocase: true});
findup(patternOrPatterns [, minimatchOptions])
Type: String
or Array
Default: none
One or more wildcard glob patterns. Or just filenames.
Type: Object
Default: {}
Options to be passed to minimatch.
Note that if you want to start in a different directory than the current working directory, specify a cwd
property here.
In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code using Grunt.
2015-09-14 0 v0.3.0 - updated glob to ~5.0.
2014-12-17 - v0.2.1 - updated to glob ~4.3.
2014-12-16 - v0.2.0 - Removed lodash, updated to glob 4.x.
2014-03-14 - v0.1.3 - Updated dependencies.
2013-03-08 - v0.1.2 - Updated dependencies. Fixed a Node 0.9.x bug. Updated unit tests to work cross-platform.
2012-11-15 - v0.1.1 - Now works without an options object.
2012-11-01 - v0.1.0 - Initial release.


Notes from pre-COVID19 times
01 Apr 2020Hi there! After abruptly coming back to France because of the virus, I resume blogging (instead of traveling, basically). Here is a set of notes that I wrote before the quarantine and everything.
Shapley value
The Shapley value is a concept in game theory. It basically describes how a group of players that have played collaboratively, should share the pay-off of the game, taking into account that some players have contributed more than others. In other words, it is a way to measure how important is each player for the team. For some settings it is proved to be the optimal way to share the gain, with respect to some objective of fairness.
The setting is the following. There are $N$ players, $1,2, …, N$, and a function $f$ from the subsets of players to the set of possible pay-offs (eg $R$). For a subset $S$ of players, $f(S)$ is the pay-off that the players of $S$ would get as a whole if they were to collaborate together.
Now, assume that all players collaborate, and get some pay-off $P$. How should we distribute $P$, using $f$? The idea is the following. First chose an arbitrary order on the players, for simplicity, let say the natural order $1, 2, …,N$. Then player $1$, gets $f(${$1$}$)$, player $2$ gets $f(${$1,2$}$) - f(${$1$}$)$ etc. That seems pretty reasonable: every player gets the marginal value it adds to the pay-off. Now this is not always fair, because of the ordering that we chose arbitrarily. Therefore one normalizes this by taking the average over all permutations of the individual pay-offs. This is the Shapley value.
[Thanks to Eric Remila for telling me about this.]
Stochastic dominance
Stochastic dominance is a concept of probability that is useful in (algorithmic) game theoretical settings, such as secretary-type problems.
Let $A$ and $B$ be two real random variables. Then $A$ stochastically dominates $B$ if for every $x$, $P(A\geq x)\geq P(B\geq x)$, and for some x, the inequality is strict. In terms of cumulative distribution function, this means $F_A(x)\leq F_B(x)$ for all $x$, and with strict inequality for some $x$.
This notion is useful in the randomized online setting: you want to show that your online algorithm obtains, in expectation, at least half the payoff of a “prophet” that would play knowing all the game in advance. Then it is sometimes useful to show that your algorithm stochastically dominates “half the prophet”.
[I heard about this by working in the group of José Correa in Santiago de Chile.]
Polygonization, a problem not known to be easy or hard
There are not so many reasonable problems for which we have neither a polynomial-time algorithm nor a proof of NP-hardness. Some well-known are graph isomorphism and integer factorization. Wikipedia has a list in its NP-intermediate article. Here is a counting problem that falls into this category.
A polygonization of a set of points is a simple polygon that visits all the points. In the following picture, the points are black and a polygonization is drawn in blue.
The algorithmic problem is: given the point set, count the number of polygonizations it has.
See the two posts by Eppstein on special aspects of this problem, here and there.
Liquid rope coiling and discrete model
When you pour some honey on a pancake, you can see that the honey behaves a bit like a rope and can get some rotational movement when touching the pancake. Something like this:
[See also this video by Jearl Walker.]
Something strange about this is that there is no reaon a priori for the movement to be rotational: it’s just something (the honey) falling on something else (the pancake). I was curious whether this could appear in a very simple discrete model. I started thinking about a sandpile model (like the one mentioned here recently) to simulate the behaviour of the honey, but at the end I tried to design the most simple model that would “create rotation”. Here is a naive model, that does not have a sandpile flavour (and probably makes little sense), but shows some rotation, without explicitely refering to a rotation.
Start with an hexagonal grid representing the pancake (because it’s easier than a square grid). The yellow cell is where the honey is currently arriving, and the orange circle is the projection of the origin of the honey (e.g. the spoon) on the pancake.
Now there are two forces. One is the “speed” of the yellow patch, that simulates the fact that the honey tends to go where there is less honey, and the very last cell visited has more, so is repulsive. It is represented by the yellow arrow. The other one is the attraction of the orange circle, that simulates the fact that the honey is still “tied” to the spoon. It is represented by an orange arrow. Now the average of the two forces is the red arrow, that is pointing to the next cell.
The proccess is repeated, and the yellow patch is circulating around the cell with a orange circle.
Well it’s not a very fancy model, in particular it doesn’t make a difference between honey on a pancake, and a planet around the sun, but maybe it can be improved..!
Anyway, physicists prefer continuous models, and a paper about the modelization of liquid rope coiling is available here.
[I learned about research on liquid rope coiling in this article in the French popularization magazine “Pour la science”.]
Other notes
-
A latex commands that some of my coauthors didn’t know:
\scalebox{x}{picture}
allows to scale a picture by a factor x. -
After trying various techniques and packages to write comments in latex files, I ended up simply using text in color with
\textcolor{color name}{text}
, but sometimes (eg for the revision of a journal paper), one needs to color a large patch of text, andtextcolor
does not allow this. For example you cannot color two sections. Then I rediscovered, that one can simply change the text color at any point with\color{color name}
. -
Eppstein has a blog post about applications of maximum matching algorithms, including kidney exchange, on which I have worked recentely. (As already mentionned on this blog, here is a stack exchange thread on “core algorithms deployed”.)


Church of Faith, Hope and Love in Volodymyr-Volynsky, Roman's paternal hometown. Note that this is an Orthodox Christian Church
The reception in Ukraine is postponed due to the Covid situation. It will be held to celebrate the wedding or its anniversary at the Restpark in Lutsk, Roman's maternal hometown.
The reception in Canada is postponed due to the Covid situation. It will be held to celebrate the wedding or its anniversary at the Ashbridge's Bay Yacht Club in Toronto - Karen's hometown.
Many of us have attended a wedding that is just too long. Hours, even days long. Your head hurts, but the show must go on. All that noise, Roman would just want to go home to read his book alone.
That's not exactly what we had, but the the shear quantity of planning, rescheduling and the number of "weddings" we've had is certainly enough for both of our lifetimes. All of this because our two lovely families got divided not only by the ocean, but also by the dread virus.
So, to those of you who don't know what a wedding during pandemic entails, buckle your seats and let's travel down memory lane.
The story begins with a 4600 km (2800 mile) long trip from Vancouver to Toronto. Karen drove the couple across Canada in 4 days. And Roman prepared a surprise for her. In the mountains of the Yoho National Park, Roman proposed. And she said YES!
Next summer Karen’s closest family gathered in the backyard to witness an informal barefoot backyard wedding ceremony with beautiful flowers from Karen’s mom Chaz.
To ensure guests’ safety, we were outside the whole time. And those of you who know August Toronto weather will understand why the wedding dinner quickly became The Wedding of Many Hats :)
These photos feature Karen’s parents Phil and Chaz, Karen’s aunt Marg and her daughter Katie.
The wedding celebration was planned to happen in snowy January. Our website featured a count down to the wedding celebration for a long time (we were excited). Back in April it seemed that the pandemic is almost over and will surely be gone by the end of summer. Alas folks plan, and God laughs.
Due to the travel restrictions the photoshoot from Oleh Bozhyk could be attended only by Roman’s best man, Ruben, and two of Karen’s bridesmaids, Katie and Kate. Well, of course Karen’s family was there with us as well. Karen’s hair was self-styled, whereas makeup was entrusted to Kate
After the photoshoot we were all trying to get cozy and warm next to the fireplace with our tea.
The trip to Ukraine followed. We are frequent flyers and yet we have never seen Pearson so empty and sad... The religious ceremony was at the Church of Hope, Love and Faith in Volodymyr-Volynski, where Father Eugene, our family spiritual teacher first baptized Karen.
The baptism of an adult Canadian (as opposed to a Ukrainian infant) In the youngest church of Volodymyr-Volynski meant that none of us knew what would happen next. The event was unusual not only for our family, but for the entire town. So Karen and Roman became a news story at the local newspaper: The Ukranian traditional embroidered attire is thanks to Roman’s grandmother Nadiya. Now we are no longer distinguishable by the presence/absence of the cross!
Wedding celebrations were cancelled in Lutsk (Ukraine) and in Toronto, but the religious marriage happened! Karen’s family stayed in Toronto, but her parents were able to not only meet my family (at least through Zoom), but also to see the entire wedding ceremony thanks to our cameraman, Roman’s brother Andriy.
The lovely embroidered rushnyk that we are stepping on for the ceremony was embroidered for us by hand by Roman’s Grandmother Eudokia. Roman’s dad Volodymyr was our personal chauffeur and Roman’s mom Svitlana was in charge of guest delivery and a thousand and one important details that Karen and Roman didn’t have to worry about (THANK YOU!) The church was quite cold, so Farther Eugene got the personal heater for Karen and Roman, but the rest of the guests had to wear coats. After the traditional wedding wishes from family and the family photo Karen and Roman are finally officially married both in Canada and in Ukraine in the eyes of Law and God.
As they say in Ireland:
May the road rise up to meet you.
May the wind be always at your back.
May the sun shine warm upon your face;
the rains fall soft upon your fields and until we meet again,
may God hold you in the palm of His hand.
What is the other thing we remember from that day? It was snowing day and night, just like in great Canadian North. Apparently Karen brought Canadian winter with her. To put a proper accent on the amount of snow in our backyard, Karen “decided” to conveniently lose her earrings in the snow. So Roman and his dad melted buckets of snow. And actually found one of the earrings! While the other is still hiding in the snow...
We want to thank Roman’s Godmother Liudmyla for a pretty and delicious Korovai (traditional wedding bread)
And Thanks to Roman’s Godparents Sergiy and Liuda for a delicious and pretty cake!
Roman’s other Godmother Oksana organized delicious cupcakes for all of the guests to take home. and helped us get the right flowers for the bride.
The evening of the wedding was a socially distanced
dinner with many phone calls and delicious baked duck
from Roman’s Grandma Yevdokiya and way too many sweets
from everyone.
As always, we hope to soon safely celebrate with the rest
of our family and friends. We will keep in touch and will
continue practicing our dance moves.
Sending you all virtual hugs and looking forward to
the real ones!
With love,
Karen and Roman
For many more photos (including more photos of flowers) follow this link to the full gallery.
Most important to us is being able to celebrate with you. Since we’re both academics with a lot of moves ahead of us, we would rather not accumulate too many bulky items.
If it’s very important to you to give a gift,
we could accept a monetary gift, which we would put towards the down payment for a house.
If it’s very important to you to give a physical gift as a memento,
we’ve prepared a
registry of items we like.


For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number.
THIS DEPARTMENT ENFORCES UNDERGRADUATE PREREQUISITES. Please note that the registration system may not factor in transfer work when determining if prerequisites have been met. If you are unable to register for a course and think you have met the prerequisite(s), please contact an advisor from this department to inquire about obtaining a permission code. You may be administratively dropped from a course if the prerequisite has not been met.
- Schedule Builder
- Student Handbook (dates, deadlines, and policy information)
- General Catalog Information
- Academic Calendar
- Textbook Requirements
- Spring 2020 Class Schedule
- List of Attribute Definitions
- Previous Screen
| Advisor Type | Name | Contact Information |
|---|---|---|
| Undergraduate Studies Office | Vicki Jackson | MEB 3190 |
| Graduate Studies Office | Leslie Wallwork | MEB 3190 |
| Class # | Subject | Cat. # | Sec. | Component | Units | Title | Days/Time & Session | Location | Class Attrs | Instructor | Feed back | Pre Req | Fees | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CS | 1030 | 001 | Lecture | 3.0 | Foundations of CS |
MoWeFr / 08:35AM-09:25AM |
Y | |||||||
|
Sections 2 -8 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. This course may be waived by passing a proficiency test. See http://www.cs.utah.edu/placement for details. | ||||||||||||||
| 7724 | CS | 1030 | 002 | Laboratory | -- | Foundations of CS |
TuTh / 12:55PM-01:45PM |
Y | ||||||
| 7725 | CS | 1030 | 003 | Laboratory | -- | Foundations of CS |
TuTh / 02:00PM-02:50PM |
Y | ||||||
| 7726 | CS | 1030 | 004 | Laboratory | -- | Foundations of CS |
TuTh / 03:05PM-03:55PM |
Y | ||||||
| 7722 | CS | 1030 | 005 | Laboratory | -- | Foundations of CS |
TuTh / 04:10PM-05:00PM |
Y | ||||||
| 9567 | CS | 1030 | 006 | Laboratory | -- | Foundations of CS |
TuTh / 11:50AM-12:40PM |
Y | ||||||
| 10333 | CS | 1030 | 008 | Laboratory | -- | Foundations of CS |
TuTh / 10:45AM-11:35AM |
Y | ||||||
| CS | 1410 | 001 | Lecture | 4.0 | Object-Oriented Prog |
MoWeFr / 10:45AM-11:35AM |
Y | |||||||
|
Sections 002 - 007 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. This course requires a proficiency test or the required pre-requisites in order to register. Go to http://www.cs.utah.edu/placement for the proficiency test required to waive CS 1030. | ||||||||||||||
| 8222 | CS | 1410 | 002 | Laboratory | -- | Object-Oriented Prog |
Tu / 08:35AM-09:25AM |
Y | ||||||
| 6228 | CS | 1410 | 003 | Laboratory | -- | Object-Oriented Prog |
Tu / 09:40AM-10:30AM |
Y | ||||||
| 6229 | CS | 1410 | 004 | Laboratory | -- | Object-Oriented Prog |
Tu / 10:45AM-11:35AM |
Y | ||||||
| 6230 | CS | 1410 | 005 | Laboratory | -- | Object-Oriented Prog |
Tu / 11:50AM-12:40PM |
Y | ||||||
| 6231 | CS | 1410 | 006 | Laboratory | -- | Object-Oriented Prog |
Tu / 12:55PM-01:45PM |
Y | ||||||
| 6232 | CS | 1410 | 007 | Laboratory | -- | Object-Oriented Prog |
Tu / 02:00PM-02:50PM |
Y | ||||||
| 13604 | CS | 1410 | 008 | Laboratory | -- | Object-Oriented Prog |
Tu / 03:05PM-03:55PM |
Y | ||||||
| 13631 | CS | 1410 | 009 | Laboratory | -- | Object-Oriented Prog |
Tu / 04:10PM-05:00PM |
Y | ||||||
| 14116 | CS | 1410 | 010 | Laboratory | -- | Object-Oriented Prog |
Tu / 05:15PM-06:05PM |
Y | ||||||
| CS | 2100 | 001 | Lecture | 3.0 | Discrete Structures |
TuTh / 10:45AM-12:05PM |
Y | |||||||
|
Sections 002-007 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. | ||||||||||||||
| 7406 | CS | 2100 | 002 | Discussion | -- | Discrete Structures |
Fr / 10:45AM-11:35AM |
Y | ||||||
| 7407 | CS | 2100 | 003 | Discussion | -- | Discrete Structures |
Fr / 11:50AM-12:40PM |
Y | ||||||
| 9277 | CS | 2100 | 004 | Discussion | -- | Discrete Structures |
Fr / 09:40AM-10:30AM |
Y | ||||||
| 10400 | CS | 2100 | 005 | Discussion | -- | Discrete Structures |
Fr / 12:55PM-01:45PM |
Y | ||||||
| 12536 | CS | 2100 | 006 | Discussion | -- | Discrete Structures |
Fr / 02:00PM-02:50PM |
Y | ||||||
| CS | 2420 | 001 | Lecture | 4.0 | Intro Alg & Data Struct |
TuTh / 12:25PM-01:45PM |
Y | |||||||
|
Sections 002 -009 and 012 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. | ||||||||||||||
| 6240 | CS | 2420 | 002 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 08:35AM-09:25AM |
Y | ||||||
| 6241 | CS | 2420 | 003 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 09:40AM-10:30AM |
Y | ||||||
| 6242 | CS | 2420 | 004 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 10:45AM-11:35AM |
Y | ||||||
| 6243 | CS | 2420 | 005 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 11:50AM-12:40PM |
Y | ||||||
| 6244 | CS | 2420 | 006 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 12:55PM-01:45PM |
Y | ||||||
| 7577 | CS | 2420 | 007 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 02:00PM-02:50PM |
Y | ||||||
| 9784 | CS | 2420 | 008 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 03:05PM-03:55PM |
Y | ||||||
| 9842 | CS | 2420 | 009 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 04:10PM-05:00PM |
Y | ||||||
| 13833 | CS | 2420 | 010 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 12:55PM-01:45PM |
Y | ||||||
| CS | 2420 | 020 | Lecture | 4.0 | Intro Alg & Data Struct |
TuTh / 09:10AM-10:30AM |
Y | |||||||
|
Sections 021-023 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. | ||||||||||||||
| 17957 | CS | 2420 | 021 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 09:40AM-10:30AM |
Y | ||||||
| 17958 | CS | 2420 | 022 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 10:45AM-11:35AM |
Y | ||||||
| 17959 | CS | 2420 | 023 | Laboratory | -- | Intro Alg & Data Struct |
Fr / 11:50AM-12:40PM |
Y | ||||||
| 6802 | CS | 3011 | 001 | Lecture | 1.0 | Industry Forum |
Fr / 10:45AM-11:35AM |
Y | ||||||
| 16699 | CS | 3100 | 001 | Lecture | 3.0 | Models Of Computation |
MoWe / 01:25PM-02:45PM |
Y | ||||||
| 8666 | CS | 3130 | 001 | Lecture | 3.0 | Eng Prob Stats |
TuTh / 03:40PM-05:00PM |
Y | ||||||
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Meets With
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| 6245 | CS | 3200 | 001 | Lecture | 3.0 | Intro Sci Comp |
MoWe / 01:25PM-02:45PM |
Y | ||||||
| CS | 3500 | 001 | Lecture | 4.0 | Software Practice |
TuTh / 02:00PM-03:20PM |
Y | |||||||
|
Sections 2 - 5 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. | ||||||||||||||
| 10084 | CS | 3500 | 002 | Discussion | -- | Software Practice |
We / 08:35AM-09:25AM |
Y | ||||||
| 10085 | CS | 3500 | 003 | Discussion | -- | Software Practice |
We / 09:40AM-10:30AM |
Y | ||||||
| 10086 | CS | 3500 | 004 | Discussion | -- | Software Practice |
We / 10:45AM-11:35AM |
Y | ||||||
| 10336 | CS | 3500 | 005 | Discussion | -- | Software Practice |
We / 11:50AM-12:40PM |
Y | ||||||
| 12628 | CS | 3500 | 006 | Discussion | -- | Software Practice |
We / 12:55PM-01:45PM |
Y | ||||||
| 14848 | CS | 3500 | 007 | Discussion | -- | Software Practice |
We / 02:00PM-02:50PM |
Y | ||||||
| CS | 3505 | 001 | Lecture | 3.0 | Software Practice II |
TuTh / 02:00PM-03:20PM |
Y | |||||||
|
Sections 2 - 7 belong to this lecture. This course requires registration for a discussion section. Students will be automatically registered for this lecture section when registering for the pertinent discussion section. | ||||||||||||||
| 6247 | CS | 3505 | 002 | Discussion | -- | Software Practice II |
We / 08:35AM-09:25AM |
Y | ||||||
| 6248 | CS | 3505 | 003 | Discussion | -- | Software Practice II |
We / 09:40AM-10:30AM |
Y | ||||||
| 6249 | CS | 3505 | 004 | Discussion | -- | Software Practice II |
We / 10:45AM-11:35AM |
Y | ||||||
| 6250 | CS | 3505 | 005 | Discussion | -- | Software Practice II |
We / 11:50AM-12:40PM |
Y | ||||||
| 6488 | CS | 3505 | 006 | Discussion | -- | Software Practice II |
We / 12:55PM-01:45PM |
Y | ||||||
| CS | 3700 | 001 | Lecture | 4.0 | Digital System Design |
TuTh / 12:25PM-01:45PM |
Y | $60.00 | ||||||
|
Section 2 belongs to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. Meets With
|
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| 6525 | CS | 3700 | 002 | Laboratory | -- | Digital System Design |
TBA |
TBA |
Y | |||||
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This class meets in MEB 3133. Meets With
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| 10088 | CS | 3810 | 001 | Lecture | 4.0 | Computer Organization |
TuTh / 09:10AM-10:30AM |
Y | ||||||
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Meets With
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| 6273 | CS | 3992 | 001 | Seminar | 3.0 | Pre-Thesis/Clinic/Proj |
TuTh / 10:45AM-12:05PM |
Y | ||||||
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Meets With
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| 10937 | CS | 4000 | 001 | Lecture | 3.0 | Senior Capstone Design |
MoWeFr / 10:45AM-11:35AM |
Y | ||||||
| 8553 | CS | 4010 | 001 | Field Work | 1.0 - 3.0 | CS Internship |
TBA |
TBA |
Y | |||||
|
Instructor permission required to register. | ||||||||||||||
| 6280 | CS | 4150 | 001 | Lecture | 3.0 | Algorithms |
TuTh / 10:45AM-12:05PM |
Y | ||||||
| 14636 | CS | 4300 | 001 | Lecture | 3.0 | Artificial Intelligence |
TuTh / 12:25PM-01:45PM |
Y | ||||||
| CS | 4400 | 001 | Lecture | 3.0 | Computer Systems |
MoWe / 03:00PM-04:20PM |
Y | |||||||
|
Sections 002-005 belong to this lecture. Students will be automatically registered for this lecture section when registering for the pertinent discussion section. | ||||||||||||||
| 11836 | CS | 4400 | 002 | Laboratory | -- | Computer Systems |
Th / 09:40AM-10:30AM |
Y | ||||||
| 11837 | CS | 4400 | 003 | Laboratory | -- | Computer Systems |
Th / 10:45AM-11:35AM |
Y | ||||||
| 11838 | CS | 4400 | 004 | Laboratory | -- | Computer Systems |
Th / 12:55PM-01:45PM |
Y | ||||||
| 11839 | CS | 4400 | 005 | Laboratory | -- | Computer Systems |
Th / 02:00PM-02:50PM |
Y | ||||||
| 13361 | CS | 4440 | 001 | Lecture | 3.0 | Computer Security |
TuTh / 02:00PM-03:20PM |
Y | ||||||
| 7409 | CS | 4480 | 001 | Lecture | 3.0 | Computer Networks |
MoWe / 01:25PM-02:45PM |
Y | ||||||
| 6274 | CS | 4500 | 001 | Lecture | 3.0 | Senior Capstone Project |
TuTh / 03:40PM-05:00PM |
Y | ||||||
| 11825 | CS | 4530 | 001 | Lecture | 3.0 | Mobile App Programming |
MoWe / 01:25PM-02:45PM |
Y | ||||||
| 9600 | CS | 5140 | 001 | Lecture | 3.0 | Data Mining |
MoWe / 03:00PM-04:20PM |
Y | ||||||
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Meets With
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| 18311 | CS | 5320 | 001 | Lecture | 3.0 | Computer Vision |
MoWe / 01:25PM-02:45PM |
Y | ||||||
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Meets With
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| 13726 | CS | 5350 | 001 | Lecture | 3.0 | Machine Learning |
TuTh / 12:25PM-01:45PM |
Y | ||||||
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Meets With
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| 8377 | CS | 5460 | 001 | Lecture | 3.0 | Operating Systems |
TuTh / 09:10AM-10:30AM |
Y | ||||||
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Meets With
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| 18230 | CS | 5490 | 001 | Lecture | 3.0 | Network Security |
MoWe / 01:25PM-02:45PM |
Y | ||||||
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Meets With
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| 7326 | CS | 5530 | 001 | Lecture | 3.0 | Database Systems |
MoWe / 11:50AM-01:10PM |
Y | ||||||
| 10089 | CS | 5610 | 001 | Lecture | 3.0 | Interactive Comp Graph |
TuTh / 02:00PM-03:20PM |
Y | ||||||
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Meets With
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| 13355 | CS | 5635 | 001 | Lecture | 3.0 | Vis for Scientific Data |
MoWe / 04:35PM-05:55PM |
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Meets With
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| CS | 5780 | 001 | Lecture | 4.0 | Embedded Sys Design |
TuTh / 12:25PM-01:45PM |
Y | $35.00 | ||||||
|
Sections 2-4 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. Meets With
|
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| 8769 | CS | 5780 | 002 | Laboratory | -- | Embedded Sys Design |
We / 07:30AM-10:30AM |
Y | ||||||
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Meets With
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| 8770 | CS | 5780 | 003 | Laboratory | -- | Embedded Sys Design |
We / 03:05PM-06:05PM |
Y | ||||||
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Meets With
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| 8771 | CS | 5780 | 004 | Laboratory | -- | Embedded Sys Design |
Fr / 07:30AM-10:30AM |
Y | ||||||
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Meets With
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| 10358 | CS | 5780 | 005 | Laboratory | -- | Embedded Sys Design |
Mo / 03:05PM-06:05PM |
Y | ||||||
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Meets With
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| 13764 | CS | 5780 | 006 | Laboratory | -- | Embedded Sys Design |
Tu / 07:30AM-10:30AM |
Y | ||||||
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Meets With
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| 18023 | CS | 5960 | 001 | Special Topics | 3.0 | Parallel Computing HPC |
MoWe / 04:35PM-05:55PM |
Y | ||||||
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Meets With
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| 7555 | CS | 6020 | 001 | Lecture | 3.0 | Early-Career Research |
TBA |
TBA |
Y | |||||
| 16698 | CS | 6110 | 001 | Lecture | 3.0 | Software Verification |
TuTh / 02:00PM-03:20PM |
Y | ||||||
| 9599 | CS | 6140 | 001 | Lecture | 3.0 | Data Mining |
MoWe / 03:00PM-04:20PM |
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Meets With
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| 16696 | CS | 6180 | 001 | Lecture | 3.0 | Clustering |
TuTh / 03:40PM-05:00PM |
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| 16700 | CS | 6220 | 001 | Lecture | 3.0 | Sci. and Data Comp. II |
TuTh / 10:45AM-12:05PM |
Y | ||||||
| 18024 | CS | 6230 | 001 | Lecture | 3.0 | Parallel Computing HPC |
MoWe / 04:35PM-05:55PM |
Y | ||||||
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Meets With
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| 6286 | CS | 6300 | 001 | Lecture | 3.0 | Artificial Intelligence |
TuTh / 12:25PM-01:45PM |
Y | ||||||
| 8372 | CS | 6320 | 001 | Lecture | 3.0 | Computer Vision |
MoWe / 01:25PM-02:45PM |
Y | ||||||
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Meets With
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| 8775 | CS | 6330 | 001 | Lecture | 3.0 | Intro to Robot Control |
MoWe / 03:00PM-04:20PM |
Y | $40.00 | |||||
|
Meets With
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| 13727 | CS | 6350 | 001 | Lecture | 3.0 | Machine Learning |
TuTh / 12:25PM-01:45PM |
Y | ||||||
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Meets With
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| 16697 | CS | 6355 | 001 | Lecture | 3.0 | Structured Prediction |
TuTh / 09:10AM-10:30AM |
Y | ||||||
| 16694 | CS | 6380 | 001 | Lecture | 3.0 | Multi-agent Systems |
TuTh / 10:45AM-12:05PM |
Y | ||||||
| 8491 | CS | 6460 | 001 | Lecture | 3.0 | Operating Systems |
TuTh / 09:10AM-10:30AM |
Y | ||||||
|
Meets With
|
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| 18253 | CS | 6490 | 001 | Lecture | 3.0 | Network Security |
MoWe / 01:25PM-02:45PM |
Y | ||||||
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Meets With
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| 18452 | CS | 6550 | 001 | Lecture | 3.0 | Intro to Info Retrieval |
TuTh / 09:10AM-10:30AM |
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| 10090 | CS | 6610 | 001 | Lecture | 3.0 | Interactive Comp Graph |
TuTh / 02:00PM-03:20PM |
Y | ||||||
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Meets With
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| 13360 | CS | 6635 | 001 | Lecture | 3.0 | Vis for Scientific Data |
MoWe / 04:35PM-05:55PM |
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Meets With
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| 14633 | CS | 6660 | 001 | Lecture | 3.0 | Physics-based Animation |
TuTh / 03:40PM-05:00PM |
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| CS | 6780 | 001 | Lecture | 4.0 | Embed Sys Design |
TuTh / 12:25PM-01:45PM |
Y | |||||||
|
Sections 2-4 belong to this lecture. This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section. Meets With
|
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| 8772 | CS | 6780 | 002 | Laboratory | -- | Embed Sys Design |
We / 07:30AM-10:30AM |
Y | $35.00 | |||||
|
Meets With
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| 8774 | CS | 6780 | 004 | Laboratory | -- | Embed Sys Design |
Fr / 07:30AM-10:30AM |
Y | $35.00 | |||||
|
Meets With
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| 10359 | CS | 6780 | 005 | Laboratory | -- | Embed Sys Design |
Mo / 03:05PM-06:05PM |
Y | $35.00 | |||||
|
Meets With
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| 16695 | CS | 6955 | 001 | Special Topics | 3.0 | Advanced HCI |
MoWe / 03:00PM-04:20PM |
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| 16693 | CS | 7810 | 001 | Lecture | 3.0 | Adv Computer Arch |
MoWe / 11:50AM-01:10PM |
Y | ||||||
| 19182 | CS | 7931 | 002 | Seminar | 1.0 | Mental Health & Technology |
We / 11:00AM-12:00PM |
Y | ||||||
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Meets With
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| 19192 | CS | 7931 | 003 | Seminar | 1.0 | Software Correctness |
Fr / 11:00AM-12:00PM |
Y | ||||||
| 18214 | CS | 7932 | 001 | Seminar | 1.0 | Human-Centered Computing |
We / 01:30PM-02:30PM |
Y | ||||||
| 7010 | CS | 7933 | 001 | Seminar | 1.0 | Graphics Seminar |
Tu / 12:10PM-01:55PM |
Y | ||||||
| 6852 | CS | 7934 | 001 | Seminar | 1.0 | Computer Systems Seminar |
Fr / 02:00PM-03:30PM |
Y | ||||||
| 9602 | CS | 7935 | 001 | Seminar | 1.0 | Natural Lang. Processing Sem. |
Tu / 11:00AM-12:00PM |
Y | ||||||
| 8208 | CS | 7937 | 001 | Seminar | 1.0 | Arch/VLSI |
Fr / 11:00AM-12:00PM |
Y | ||||||
| 7179 | CS | 7938 | 002 | Seminar | 1.0 | Image Analysis Seminar |
Mo / 12:00PM-01:00PM |
Y | ||||||
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Meets With
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| 6493 | CS | 7939 | 001 | Seminar | 1.0 | Robotics |
Tu / 02:00PM-02:50PM |
Y | ||||||
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Meets With
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| 18914 | CS | 7940 | 001 | Seminar | 1.0 - 2.0 | High-Perform Machine Learning |
Tu / 10:45AM-12:05PM |
Y | ||||||
| 8502 | CS | 7941 | 001 | Seminar | 1.0 | Data Science Seminar |
Th / 12:15PM-01:30PM |
Y | ||||||
| 8554 | CS | 7942 | 001 | Seminar | 1.0 | Visualization Seminar |
We / 12:00PM-01:00PM |
TBA . |
Y | |||||
|
This class meets in WEB 3780. | ||||||||||||||
| 10530 | CS | 7943 | 001 | Seminar | 1.0 | Networking Seminar |
Fr / 02:00PM-03:30PM |
Y | ||||||
| 13731 | CS | 7944 | 001 | Seminar | 1.0 | Comp Narrative Seminar |
Mo / 11:00AM-12:00PM |
Y | ||||||
| 18874 | CS | 7960 | 001 | Special Topics | 3.0 | Ontology, Epistemology, and Re |
TuTh / 02:00PM-03:20PM |
Y |


Simon
Choice your Marker:
Easy
(Fewer levels,slower sequence)
Hard
(More levels,faster sequence)
Round:
0
PLAY
You win!!!


Padframe.
More...
The padframe driver provides support for controlling PADs.
◆ pi_pad_flags_e
Flags are used to configure pad : drive strength, pull activation.
| Enumerator |
|---|
| PI_PAD_PULL_DISABLE | Disable pull.
|
| PI_PAD_PULL_ENABLE | Enable pull.
|
| PI_PAD_DS_LOW | Low drive strength.
|
| PI_PAD_DS_HIGH | High drive strength.
|
◆ pi_pad_func_e
This is used to identify the function for each pad.
| Enumerator |
|---|
| PI_PAD_FUNC0 | Alternate func0, default func.
|
| PI_PAD_FUNC1 | Alternate func1.
|
| PI_PAD_FUNC2 | Alternate func2, pads as GPIOs.
|
| PI_PAD_FUNC3 | Alternate func3.
|
◆ pi_pad_sleepcfg_flags_e
Flags are used to configure pad : direction, active state.
| Enumerator |
|---|
| PI_PAD_SLEEPCFG_INPUT | Pad is an input.
|
| PI_PAD_SLEEPCFG_OUTPUT | Pad is an output.
|
| PI_PAD_SLEEPCFG_ACTIVE_LOW | Pad is active low.
|
| PI_PAD_SLEEPCFG_ACTIVE_HIGH | Pad is active high.
|
◆ pi_pad_init()
| void pi_pad_init |
( |
uint32_t |
pad_values[] | ) |
|
This function can be used to configure the function of all the pads in the case that they support several functions.
- Parameters
-
| pad_values | Pad values. This is an array of 32 bit values, with one bit per pad and one 32 bit value per group of 32 pads. |
◆ pi_pad_set_configuration()
This function configures the pull activation and drive strength of a given pin.
- Parameters
-
| pad | Pad to configure. |
| cfg | Pad configuration, set of flags. |
◆ pi_pad_set_function()
| void pi_pad_set_function |
( |
pi_pad_e |
pad, |
|
|
pi_pad_func_e |
function |
|
) |
| |
This function can be used to configure the function of the specified pad in the case that it supports several functions.
- Parameters
-
| pad | Pad number. See the chip specific configuration for more details. |
| function | Pad function. See the chip specific configuration for more details. |
◆ pi_pad_sleepcfg_set()
| void pi_pad_sleepcfg_set |
( |
uint32_t |
sleepcfg[], |
|
|
uint8_t |
sleep_ena |
|
) |
| |
This function configures pads behaviour when microcontroller goes into sleep or deep sleep mode. The array sent to this function should be filled for available pads(cf pi_pad_e), with 2 bits per pad(active state and direction).
Ex : Pad 10 - PI_PAD_18_A43_CAM_PCLK
uint32_t array[3] = {0};
array[PI_PAD_18_A43_CAM_PCLK / 16] |= ((PI_PAD_SLEEPCFG_INPUT | PI_PAD_SLEEPCFG_ACTIVE_HIGH) << PI_PAD_18_A43_CAM_PCLK);
- Parameters
-
| sleepcfg | Pads sleep configuration. |
| sleep_ena | Enable/disable pad sleep mode. |


JUI-F rejects PM Imran's offer of facilities for Azadi March
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) - Jamiat Ulema-e Islam Fazl (JUI-F) leader Maulana Abdul Ghafoor Haidri has rejected the offer of PM Imran Khan saying he (PM) should keep his offer in his pocket.
Addressing to media after JUI-F’s meeting, Haidri said our workers have already made the arrangements.
It is worth mentioning here that PM Imran Khan on Wednesday has taken notice of difficulties being faced by the protesters of Jamiat Ulema-e-Islam-Fazl’s (JUI-F) anti-government Azadi March due to rain and changing weather conditions.
In a post on social-networking website Twitter, the premier has directed the chairman of Capital Development Authority (CDA) to immediately visit the area and provide all the facilities to the protesters, who are holding sit-in on Kashmir Highway in federal capital, Islamabad.
JUI-F’s haidri said the March would continue till the resignation of PM Imran. He said they offered Friday prayers at the same place last week and they will also offer coming Friday prayer here.