Welcome to Villareal
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Here are the some samples of the homepages which are provided in the Villareal template package.
Here are the some samples of the homepages which are provided in the Villareal template package.


AUSTIN POWERS: THE SPY WHO SHAGGED ME (1999)
A film review by Steve Kong Edited by Steve Kong Copyright 1999 Steve Kong
After 95 minutes of Austin Powers: The Spy Who Shagged Me, I was sure that there was only 30 minutes of real comedy in this film. The other 65 minutes is awfully unfunny filler material. I admit I'm have a soft spot for dumb-comedies, much like There's Something About Mary, but when the makers of a dumb-comedy run out of comedy it's just dumb.
he Spy Who Shagged Me starts off where Austin Powers: International Man of Mystery finishes. Austin (Mike Myers) Powers is faced with a surprise attack by a familiar carry over character from the original film. After the attack he discovers that he's lost his `mojo'. As it turns out, Dr. Evil (Mike Myers) has created a time machine and has traveled back in time. And it is in the past that Dr. Evil has stolen Austin Power's mojo. Dr. Evil has a small sidekick this time around too, Mini-Me (Verne Troyer) who is an exact duplicate of Dr. Evil only smaller. A subplot involves Dr. Evil's son who feels neglected by his father because his father is giving more attention to Mini-Me. Austin must recover his mojo, so he travels back in time too. When he arrives in the past, CIA agent Felicity (Heather Graham) Shagwell joins him. Together they set out to spoil Dr. Evil's plans of world domination and to recover Austin's mojo.
My major complaint with this Austin Powers film is that it is purely unfunny material punctuated by some intensely funny moments. The film also tries to get some laughs with crude jokes like the ones found in There's Something About Mary, but for the most part these jokes fail in Austin Powers. The script by Mike Myers and Michael McCullers is bland, unfunny, and way too long. The direction by Jay Roach doesn't help either, his pacing of the film is horrible, leaving me to look at my watch many times during the showing wondering when the next laugh is or when the end is.
Myers plays a few of the characters in the film and does fine with most of them. He's nothing special on screen. Heather Graham does what she can with the Barbie Doll-like character she's given. Her part requires nothing but for her to prance around with a gun and costumes designed to show as much cleavage as possible -- telling you just who the target audience of this film is. I enjoyed Graham's performances in other films, such as Boogie Nights and even Lost in Space, but this film is just a terrible waste of her talents. The best thing about this film, and this is a hard find in such an intolerable film, is Mini-Me. This character is one the funniest parts of the film and I enjoyed it.
One issue that bothered me with this film is the MPAA rating of the film as a PG-13 film. With the heavy sexual innuendo, some of it quite blatant (like the rocket ship that Dr. Evil travels in), this film should have been rated R. But, I'm guessing that the producers of the film pulled some strings to get a PG-13 rating so that the film could open to the target age group: young impressionable boys who would understand some of the moronic comedy in this film. Still, this film shows just how MPAA ratings don't fit some films. If you're a parent and you have younger children wanting to see this film, don't let them, this film is not appropriate for them.
No matter, this film invokes either a love or hate relationship with the audience, I'm in the latter group. A moronic film that is 30 minutes of comedy and 65 minutes of filler material, this film is an abysmal entry into the summer movie lineup. Even if you're old enough to see this film, Skip, Skip, Skip it. Skip it in the theatres at full price, Skip it in the theatres at matinee, and Skip it on video. Austin Powers is shagless.
--- Steve Kong<EMAIL_ADDRESS>not all film critics are the same. i'm your hard boiled movie guide.
http://boiledmovies.sbay.com/
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Snowboarding pioneer Carpenter dies at 65
NEW YORK – Jake Burton Carpenter, the pioneer who brought snowboarding to the masses and helped turn the sport into a billion-dollar business and Olympic showpiece, has died at 65.
He died Wednesday night in Burlington, Vermont, according to an email sent to the staff of the company he founded. Carpenter had emailed his staff this month saying, “You will not believe this, but my cancer has come back.” He had been diagnosed with testicular cancer in 2011 but after several months of therapy had been given a clean bill of health.
Carpenter quit his job in New York in 1977 to form the company now known simply as Burton. His goal was to advance the rudimentary snowboard, then called a “Snurfer,” which had been invented by Sherman Poppen a dozen years earlier.
It worked, and more than four decades later, snowboarding is a major fixture at the Winter Games and snowboards are as common as skis at resorts across the globe.
“He was our founder, the soul of snowboarding, the one who gave us the sport we all love so much,” Burton co-CEO John Lacy said in his email to the staff.
It is virtually impossible to avoid the name “Burton” once the snow starts falling at any given mountain around the world these days. The name is plastered on the bottoms of snowboards, embroidered on jackets, stenciled into bindings.
At a bar in Pyeongchang, South Korea, not far from where snowboarding celebrated its 20th anniversary at the Olympics last year, there was a wall filled with Burton pictures and memorabilia — as sure a sign as any of the global reach of a company founded in his garage in Londonderry, Vermont.
The company sponsored pretty much every top rider at one time or another — from Shaun White to Kelly Clark to Chloe Kim.
Carpenter watched all his champions win their Olympic golds from near the finish line, never afraid to grind away in the mosh pit of snowboarders and snowboarding fans that he helped create.
In an interview in 2010, he said he was happy with how far his sport had come, and comfortable with where it was going.
“I had a vision there was a sport there, that it was more than just a sledding thing, which is all it was then,” Burton said. “We’re doing something that’s going to last here. It’s not like just hitting the lottery one day.”
Lacy said details about the celebration of Burton’s life would be coming soon but, for now, “I’d encourage everyone to do what Jake would be doing tomorrow, and that’s riding. It’s opening day at Stowe, so consider taking some turns together, in celebration of Jake.”
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--- layout: post status: publish published: true title: Podcast 4.23 - Alfonso Soriano, the Great Survivor author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 7573 wordpress_url: http://ivyenvy.com/?p=7573 date: '2012-06-23 13:06:28 +0000' date_gmt: '2012-06-23 18:06:28 +0000' categories: - Podcast tags: - Alfonso Soriano - Red Sox - White Sox - Starlin Castro - Matt Garza - Darwin Barney - Anythony Rizzo - MLB Black-out comments: [] ---
Bob and Brian join Corey in the studio and Kurt phones in for this episode. We start things off by discussing the frustration many fans feel with Alfonso Soriano and their reactions to his failure to run out a dropped line drive in the Red Sox series.
Starlin Castro made an incredible catch in the White Sox series and we talk about the play and use it as an opportunity to talk about a future position change and Castro's defense in general.
Corey wrote a post earlier in the week voicing his displeasure with Randy Wells and talk about the disappointing route that his career has taken since the 2009 season.
We are possibly only days away from Anthony Rizzo being called up to the Cubs. We make predictions on his call-up date and have a little segment we called "The Rizzo Reality Check". We tell you why you shouldn't expect Rizzo to come up and duplicate his AAA numbers.
We answer some listener submitted questions on the most recent draft and what happens to players that don't sign, our feelings towards Darwin Barney and his future with the organization, MLB black-out rules and the idea of Matt Garza being traded away.
Kurt gives us a scary stat that has multiple layers and we pick a winner for this week's photo caption contest.


Prototype Model¶
Reference: [MiSm02]
Module : prototype
The above module contains the necessary functions that aid in implementing the Prototype model. The documentation for these functions is described below.
-
Prototype.prototype.
distance
(w, x, i, P, r)¶ Function that calculates the distance between stimulus and prototype in the psychological space (equation 1 in [MiSm02] )
- Parameters
w (list) – This is the list of weights corresponding to each dimension of the stimulus in the psychological space
x (np.array) – This is the stimuli representation in the psychological space. The stimuli are given to this function in the form of a n x N matrix, where n is the number of stimuli and N is the number of dimensions of each stimuli in the psychological space
i (int) – Stimulus i
P (list) – P is the prototype that is represented in the form of co-ordinates in the psychological space. For example, if it is a four dimensional psychological space, the prototype for a category could be [1,1,1,1]
r (int) – This is the Minkowski’s distance metric. A value of 1 corresponds to city-block metric (generally used when the stimuli has separable dimensions) ; A value of 2 corresponds to eucledian distance metric (generally used when the stimuli has integral dimensions)
- Returns
The distance between Stimulus i and Prototype P in the psychological space
- Return type
float
-
Prototype.prototype.
probability_of_category
(categories, category, prototypes, w, x, i, r, c)¶ Function that calculates the probability of category response A given stimulus i (equation 3 in [MiSm02])
- Parameters
categories (list) – This is the list that indicates which stimulus belongs to which category. For example, out of 5 stimuli, if stimuli #0, #2, #4 belongs to category 0 and the rest belongs to category 1, then categories_Idx = [[0,2,4],[1,3]]
category (int) – Category number
prototypes (list) – This is the list that contains the prototype representation for each category. For example, if there are two categories and the stimulus representation has four dimensions, the prototypes could be [[1,1,1,1],[0,0,0,0]]
w (list) – This is the list of weights corresponding to each dimension of the stimulus in the psychological space
x (np.array) – This is the stimuli representation in the psychological space. The stimuli are given to this function in the form of a n x N matrix, where n is the number of stimuli and N is the number of dimensions of each stimuli in the psychological space
i (int) – Stimulus i
r (int) – This is the Minkowski’s distance metric. A value of 1 corresponds to city-block metric (generally used when the stimuli has separable dimensions) ; A value of 2 corresponds to eucledian distance metric (generally used when the stimuli has integral dimensions)
c (float) – This is the scale parameter used in the similarity calculation
- Returns
The probability of category response A given stimulus i
- Return type
float
-
Prototype.prototype.
similarity
(c, d)¶ Function that calculates the similarity between stimulus i and P (equation 2 in [MiSm02] )
- Parameters
c (float) – This is the scale parameter used in the similarity calculation
d (float) – This is the distance between stimulus and the prototype in the psychological space
- Returns
The similarity between the stimulus and the prototype
- Return type
float
Example¶
A Sample Script : sample
The above script illustrates how one can use the prototype module. As an example, the above script generates figure 1 in [MiSm02]. The data set of [MeSc78] is used.
References
- MiSm02(1,2,3,4,5)
Minda, John P.; Smith, David: Comparing Prototype-Based and Exemplar-Based Accounts of Category Learning and Attentional Allocation. In: The Journal of Experimental Psychology: Learning, Memory, and Cognition. 2002, Vol. 28, No. 2, 275–292
- MeSc78
Medin, Douglas L.; Schaffer, Marguerite M.: Context Theory of Classification Learning. In: Psychological Review. 1978, Vol. 85, No. 3, 207-238


| Viplex 530-A General Information
-
| Synonyms: |
Paraffinic distillate; Heavy paraffinic distillate solvent extract |
| CAS Registry No.: |
64742-04-7 |
| Chemical Category: |
Hydrocarbon oils |
Usage and Performance Characteristics
-
| Manufacturer: |
Crowley Chemical Company Inc. |
| Used for Polymeric Materials: |
PVC |
Physical Properties
-
| Specific Gravity: |
1.066 (155°C) |
| Aggregate State at 25°C: |
Liquid |
| Vapor Pressure, kPa: |
<0.013 (20°C) |
| Viscosity, SUS: |
250 (37.8°C) |
Chemical Properties
Optical Properties
Hazard-Related Data
-
| OSHA Hazard Class: |
Considered a hazardous substance |
| UN Risk Phrases: |
33,45(2) |
| UN Safety Phrases: |
1,35,53,40 |
| Lower Explosive Level, LEL, %: |
0.6 |
| Upper Explosive Level, UEL, %: |
7 |
| Flash Point Temperature, °C: |
177 |
| HMIS Personal protection: |
Safety glasses, chemical resistant gloves, lab. coat |
Animal Toxicity
-
| Rabbit Dermal, LD50, mg/kg: |
>2,000 |
| Rat Oral, LD50, mg/kg: |
>5,000 |
Plasticizers Database (2nd Electronic Edition) Copyright © 2004 by ChemTec Publishing |


{% extends "../layouts/guidance.html" %} {% set sectionId = "taxonomies" %} {% set pageTitle = "Taxonomies" %} {% block subNav %} {% include "./navigation.html" %} {% endblock %} {% block pageContent %}
Find components and patterns that are useful to you based on the type of journey.
The current recognised taxonomies are:
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/** * @author Richard Davey<EMAIL_ADDRESS>* @copyright 2014 Photon Storm Ltd. * @license {@link https://github.com/photonstorm/phaser/blob/master/license.txt|MIT License} */ /** * Phaser - TweenManager * * @class Phaser.TweenManager * @classdesc * Phaser.Game has a single instance of the TweenManager through which all Tween objects are created and updated. * Tweens are hooked into the game clock and pause system, adjusting based on the game state. * * TweenManager is based heavily on tween.js by http://soledadpenades.com. * The difference being that tweens belong to a games instance of TweenManager, rather than to a global TWEEN object. * It also has callbacks swapped for Signals and a few issues patched with regard to properties and completion errors. * Please see https://github.com/sole/tween.js for a full list of contributors. * @constructor * * @param {Phaser.Game} game - A reference to the currently running game. */ Phaser.TweenManager = function (game) { /** * @property {Phaser.Game} game - Local reference to game. */ this.game = game; /** * @property {array<Phaser.Tween>} _tweens - All of the currently running tweens. * @private */ this._tweens = []; /** * @property {array<Phaser.Tween>} _add - All of the tweens queued to be added in the next update. * @private */ this._add = []; this.game.onPause.add(this._pauseAll, this); this.game.onResume.add(this._resumeAll, this); }; Phaser.TweenManager.prototype = { /** * Get all the tween objects in an array. * @method Phaser.TweenManager#getAll * @returns {Phaser.Tween[]} Array with all tween objects. */ getAll: function () { return this._tweens; }, /** * Remove all tweens running and in the queue. Doesn't call any of the tween onComplete events. * @method Phaser.TweenManager#removeAll */ removeAll: function () { for (var i = 0; i < this._tweens.length; i++) { this._tweens[i].pendingDelete = true; } this._add = []; }, /** * Add a new tween into the TweenManager. * * @method Phaser.TweenManager#add * @param {Phaser.Tween} tween - The tween object you want to add. * @returns {Phaser.Tween} The tween object you added to the manager. */ add: function (tween) { tween._manager = this; this._add.push(tween); }, /** * Create a tween object for a specific object. The object can be any JavaScript object or Phaser object such as Sprite. * * @method Phaser.TweenManager#create * @param {Object} object - Object the tween will be run on. * @returns {Phaser.Tween} The newly created tween object. */ create: function (object) { return new Phaser.Tween(object, this.game, this); }, /** * Remove a tween from this manager. * * @method Phaser.TweenManager#remove * @param {Phaser.Tween} tween - The tween object you want to remove. */ remove: function (tween) { var i = this._tweens.indexOf(tween); if (i !== -1) { this._tweens[i].pendingDelete = true; } }, /** * Update all the tween objects you added to this manager. * * @method Phaser.TweenManager#update * @returns {boolean} Return false if there's no tween to update, otherwise return true. */ update: function () { if (this._tweens.length === 0 && this._add.length === 0) { return false; } var i = 0; var numTweens = this._tweens.length; while (i < numTweens) { if (this._tweens[i].update(this.game.time.now)) { i++; } else { this._tweens.splice(i, 1); numTweens--; } } // If there are any new tweens to be added, do so now - otherwise they can be spliced out of the array before ever running if (this._add.length > 0) { this._tweens = this._tweens.concat(this._add); this._add.length = 0; } return true; }, /** * Checks to see if a particular Sprite is currently being tweened. * * @method Phaser.TweenManager#isTweening * @param {object} object - The object to check for tweens against. * @returns {boolean} Returns true if the object is currently being tweened, false if not. */ isTweening: function(object) { return this._tweens.some(function(tween) { return tween._object === object; }); }, /** * Private. Called by game focus loss. Pauses all currently running tweens. * * @method Phaser.TweenManager#_pauseAll * @private */ _pauseAll: function () { for (var i = this._tweens.length - 1; i >= 0; i--) { this._tweens[i]._pause(); } }, /** * Private. Called by game focus loss. Resumes all currently paused tweens. * * @method Phaser.TweenManager#_resumeAll * @private */ _resumeAll: function () { for (var i = this._tweens.length - 1; i >= 0; i--) { this._tweens[i]._resume(); } }, /** * Pauses all currently running tweens. * * @method Phaser.TweenManager#pauseAll */ pauseAll: function () { for (var i = this._tweens.length - 1; i >= 0; i--) { this._tweens[i].pause(); } }, /** * Resumes all currently paused tweens. * * @method Phaser.TweenManager#resumeAll */ resumeAll: function () { for (var i = this._tweens.length - 1; i >= 0; i--) { this._tweens[i].resume(true); } } }; Phaser.TweenManager.prototype.constructor = Phaser.TweenManager;


Core functionality for any log file implementation.
Functionality that is common to any implementation of a logger should be located in this package.


My projects
home
projects
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projects
Here are the links to some of my projects on Github
My first Code
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Cookie-recipie


Banking
- Summit Banking publishes all its Latest News and related information in this section. Please visit this section to stay up-to-date with public announcements and releases made by Summit Bank
Latest News
-
Educational and home loan rates has been revised as per RBI direction. More...
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Our bank provides 2% less than current interest rate on home loanMore...


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Dundee derby Remembrance Day minute's silence marred by noise and chants
Yobs failed to observe a moment of silence to reflect on the fallen at Dens Park.
by Jonathan McFarlaneA minute's silence for Remembrance was disrupted by noise and chants before the derby between Dundee and Dundee United.
Noise was audibly picked up by TV cameras covering the game for BT Sport as the players converged at the centre circle.
It was unclear which side's supporters failed to observe the moment at Dens Park as the two city rivals prepared to clash in the Championship.
Once the moment came to an end, boos loudly rang around the stadium as fans registered their displeasure at the behaviour of some within the ground.
Remembrance is observed on the 11th of November as a commemoration to the dead of World War 1 and other conflicts.
The two sides clash with United sitting atop the Championship and their rivals desperate to claw back some of the six points that separate them.


Combine multiple groups, First Group will validate zip OR image. This result will combined with a third validator maxFileSize. So file will valid if we handle an image- or zip file and file size is less then or equal 512kb.


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Cemcorp Ltd.
Mailing Address:
2181 Dunwin Dr.MISSISSAUGA, Ontario
L5L 1X2
Location Address:
2181 Dunwin Dr.MISSISSAUGA, Ontario
L5L 1X2
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Cemcorp Ltd. CONSULTING ENGINEERS are specialists in the design and construction of Food & Beverage Plants (Beer, Alcohol) and Cogeneration Plants. We are a multi-discipline team of engineers, constructors, financiers, covering all facets of business. An ISO 9001 registered firm.Services to the Process Industries, such as development of Business Plans, Feasibility Studies, to Project Management of complete production facilities.
PCbrew® and PCflow® are all Trademarks of Cemcorp Ltd. for PC-based computer control systems for the Process Technology industries.
Environmental Profile
CEMCORP was established in March, 1984, to provide process and equipment specialist consulting engineering services to the Industrial Process and Manufacturing fields, particularly the food processing, distillery, brewery and biotechnology chemical processing industries. Today the firm is an ISO 9001 registered, multi-discipline consortium of independent consulting engineers that provides, in addition to process and equipment design, a wide range of expertise including structural, electrical, controls systems, industrial Occupational Health & Safety and environmental and hazard control engineering to the process industry.
CEMCORP brings together on an "as required" basis a small group of highly qualified, internationally experienced professional consultants, engineers, manufacturers, contractors, and financiers. Because of the specialized proven technology, "know-how", experience and management skills of its retained team, CEMCORP can provide certain project services better than traditional sources of consulting engineers, "turnkey" manufacturers, and contractors. For projects ranging from translating single process performance requirements into detailed equipment specifications and drawings to capably managing a total capital project with an independent project management team, CEMCORP has the necessary design fabrication, manufacturing, erection and installation expertise together with current technology and people resources available.
CEMCORP specializes in translating process performance requirements into detailed equipment specifications and Computer-Assisted Design and Drafting (CADD) Services including shop fabrication drawings for users, consulting engineering firms, equipment manufacturers and contractors.
CEMCORP has completed over 400 Capital Projects worldwide where the detailed design and Project Management services were provided from Canada with the majority of the fabrication and construction obtained from local manufacturers and contractors.
Specialities available for Technology Transfer include: Fluids Technology Engineering Design (process, mechanical, electrical, chemical and utilities specifications); specialized processing equipment systems such as Heat exchangers to TEMA and ASME Unfired Pressure Vessel Codes, process piping systems, to 3A and ASME B 31 Pressure Piping Codes. For Breweries, Distilleries, and Food Processing plants, CEMCORP can provide Environmental and Effluent Treatment designs to recover alcohol from waste streams, along with the conversion of biomass to ethanol. Proprietary designs can be provided for Stem Jacketed kettles, reactors, mixers, vacuum pans, batch and continuous stills and evaporators, solvent recovery and extraction systems.
CEMCORP assists foreign manufacturers of Boilers, Pressure Vessels and Pressure fitting to obtain CRN for their imported equipment into Canada
Full profile
Full profile
Contact information
Company description
541420 - Industrial Design Services
Product / Service / Licensing
Cemcorp's PC-based process control systems, for the food,
beverage, chemical and manufacturing industry sectors.
PC-based process control systems for the food, beverage, chemical
and manufacturing industry sectors
Benefits of this process are the recovery of product to provide higher plant yield, increased revenues, and reduced effluent treatment and disposal costs.
C213-A&E Inspection Services
C214-A&E Management Engineering Services
C215-A&E Production Engineering Services (incl. Design and Control and Building Programming)
C219-Other Architect and Engineering Services
Technology profile
systems including hardware and software based on flow logic for
precise control.
Market profile
Alliances:
- Sales/Marketing
- Technology
Strategic alliances:
Acquired Brumor Brewery Technology from ACME PROCESS EQUIPMENT CO. , Oreland, PA, USAIndustry sector market interests:
- Food and Beverage Manufacturing
Geographic markets:
Export experience:
- Australia
- Austria
- Barbados
- Belgium
- Bulgaria
- Colombia
- Denmark
- Dominica
- Eritrea
- Ethiopia
- Fiji
- Germany
- India
- Italy
- Jamaica
- Korea, Republic of
- Kyrgyzstan
- Latvia
- Netherlands
- Peru
- Romania
- Russian Federation
- Sweden
- Switzerland
- Thailand
- Trinidad and Tobago
- Turkey
- United Kingdom
- United States
- Alaska
- Arizona
- California
- Colorado
- Connecticut
- Florida
- Georgia
- Hawaii
- Illinois
- Indiana
- Kentucky
- Louisiana
- Maine
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Nevada
- New Jersey
- New York
- Ohio
- Oklahoma
- Pennsylvania
- South Dakota
- Tennessee
- Texas
- Utah
- Virginia
- Washington
- Wisconsin
Actively pursuing:
- Greece
- Philippines
Sector information
Total plant size:
Success stories:
PSI Canada Ltd., Walkerton, Ontario market, manufacture, install, both domestic and export cemcorp Turnkey Brewery plants; including microbreweries and brewpubs and PCbrew®), under license.Synergizing Technologies, India market, manufacture, install cemcorp Turnkey Alcohol Distillieries including HGF, PCflow®. and cemcorp Turnkey Breweries including PCbrew® under Technology Transfer license
International capital projects:
Maharashtra Distilleries, Ltd., Aurangabad, India - Entra Neutral Alcohol distillation system designSvensk Etanolkemi AB, Sweden - world leading energy efficient alsohol dehydration system design
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
541420 - Industrial Design Services
Products, services and licensing
Product / Service / Licensing
Cemcorp's PC-based process control systems, for the food,
beverage, chemical and manufacturing industry sectors.
PC-based process control systems for the food, beverage, chemical
and manufacturing industry sectors
Benefits of this process are the recovery of product to provide higher plant yield, increased revenues, and reduced effluent treatment and disposal costs.
C213-A&E Inspection Services
C214-A&E Management Engineering Services
C215-A&E Production Engineering Services (incl. Design and Control and Building Programming)
C219-Other Architect and Engineering Services
Technology
Technology profile
systems including hardware and software based on flow logic for
precise control.
Market
Market profile
Alliances:
- Sales/Marketing
- Technology
Strategic alliances:
Acquired Brumor Brewery Technology from ACME PROCESS EQUIPMENT CO. , Oreland, PA, USAIndustry sector market interests:
- Food and Beverage Manufacturing
Geographic markets:
Export experience:
- Australia
- Austria
- Barbados
- Belgium
- Bulgaria
- Colombia
- Denmark
- Dominica
- Eritrea
- Ethiopia
- Fiji
- Germany
- India
- Italy
- Jamaica
- Korea, Republic of
- Kyrgyzstan
- Latvia
- Netherlands
- Peru
- Romania
- Russian Federation
- Sweden
- Switzerland
- Thailand
- Trinidad and Tobago
- Turkey
- United Kingdom
- United States
- Alaska
- Arizona
- California
- Colorado
- Connecticut
- Florida
- Georgia
- Hawaii
- Illinois
- Indiana
- Kentucky
- Louisiana
- Maine
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Nevada
- New Jersey
- New York
- Ohio
- Oklahoma
- Pennsylvania
- South Dakota
- Tennessee
- Texas
- Utah
- Virginia
- Washington
- Wisconsin
Actively pursuing:
- Greece
- Philippines
Sector
Sector information
Total plant size:
Success stories:
PSI Canada Ltd., Walkerton, Ontario market, manufacture, install, both domestic and export cemcorp Turnkey Brewery plants; including microbreweries and brewpubs and PCbrew®), under license.Synergizing Technologies, India market, manufacture, install cemcorp Turnkey Alcohol Distillieries including HGF, PCflow®. and cemcorp Turnkey Breweries including PCbrew® under Technology Transfer license
International capital projects:
Maharashtra Distilleries, Ltd., Aurangabad, India - Entra Neutral Alcohol distillation system designSvensk Etanolkemi AB, Sweden - world leading energy efficient alsohol dehydration system design


Chuta Kaimu:
This is all the wisdom I can share with you.
Follow this road to the Warrior's Grave at the southwest end.
Once there, pray for his soul and you may receive what you require. If necessary, place the Gazkh fragment on the Warrior's Grave.
Listen to the third verse of the melody in order to confirm.


This page shows automated results of the Draconids 2012, based on visual observations reported by citizen scientists through the report form of the International Meteor Organization (IMO). The information on this page is generated automatically; for scientific use please refer to manual analyses published in scientific journals (such as WGN). Send your feedback regarding this page to Geert Barentsen.
Page contents:
Note that the data will finally go into the Visual Meteor Database (VMDB) with manual inspection and rectifications. We are curretly completing the files of 2008-2011. The VMDB is an enormous project - any help will be greatly appreciated.
Page generated: 2012 November 20 at 8:45 UTC.
The graph below shows the ZHR (Zenithal Hourly Rate), which is the number of meteors an observer would see under a very dark sky with the radiant of the shower in zenith.
ZHRmax = 324 based on 240 Draconids reported in 234 intervals, assuming population index r = 2.9
| Time (UTC) | Solarlon | nINT | nDRA | ZHR | Particle density | |
|---|---|---|---|---|---|---|
| 2012-10-05 19:03 | 192.762 | 2 | 1 | 2 | ±1 | 23 / 109·km3 |
| 2012-10-05 21:44 | 192.872 | 1 | 0 | 4 | ±4 | 46 / 109·km3 |
| 2012-10-06 02:48 | 193.081 | 2 | 3 | 4 | ±2 | 46 / 109·km3 |
| 2012-10-06 13:41 | 193.528 | 29 | 10 | 6 | ±2 | 69 / 109·km3 |
| 2012-10-06 14:48 | 193.574 | 4 | 0 | 7 | ±7 | 80 / 109·km3 |
| 2012-10-06 20:02 | 193.789 | 16 | 10 | 4 | ±1 | 46 / 109·km3 |
| 2012-10-06 20:57 | 193.826 | 14 | 10 | 4 | ±1 | 46 / 109·km3 |
| 2012-10-06 21:28 | 193.847 | 3 | 0 | 4 | ±4 | 46 / 109·km3 |
| 2012-10-07 13:34 | 194.509 | 15 | 10 | 16 | ±5 | 183 / 109·km3 |
| 2012-10-07 15:16 | 194.580 | 24 | 10 | 14 | ±4 | 160 / 109·km3 |
| 2012-10-07 16:59 | 194.650 | 16 | 7 | 14 | ±5 | 160 / 109·km3 |
| 2012-10-07 19:34 | 194.756 | 2 | 0 | 1 | ±1 | 11 / 109·km3 |
| 2012-10-08 13:28 | 195.493 | 17 | 11 | 16 | ±5 | 183 / 109·km3 |
| 2012-10-08 15:11 | 195.563 | 18 | 12 | 17 | ±5 | 194 / 109·km3 |
| 2012-10-08 16:30 | 195.617 | 6 | 18 | 155 | ±36 | 1772 / 109·km3 |
| 2012-10-08 16:51 | 195.631 | 4 | 23 | 324 | ±66 | 3703 / 109·km3 |
| 2012-10-08 17:10 | 195.644 | 4 | 19 | 110 | ±25 | 1257 / 109·km3 |
| 2012-10-08 17:32 | 195.660 | 6 | 20 | 78 | ±17 | 892 / 109·km3 |
| 2012-10-08 17:50 | 195.672 | 6 | 16 | 50 | ±12 | 572 / 109·km3 |
| 2012-10-08 18:12 | 195.687 | 4 | 16 | 51 | ±12 | 583 / 109·km3 |
| 2012-10-08 18:35 | 195.703 | 3 | 10 | 27 | ±8 | 309 / 109·km3 |
| 2012-10-08 19:23 | 195.736 | 9 | 10 | 33 | ±10 | 377 / 109·km3 |
| 2012-10-08 20:07 | 195.766 | 13 | 13 | 8 | ±2 | 91 / 109·km3 |
| 2012-10-08 21:19 | 195.816 | 14 | 7 | 4 | ±1 | 46 / 109·km3 |
| 2012-10-09 03:34 | 196.073 | 2 | 4 | 19 | ±8 | 217 / 109·km3 |
The reported intervals are automatically added together into the bins shown above, based on the number of meteors and the distribution of the intervals. For each bin, the following parameters are computed:
| Time (UTC) | Solarlon | nINT | nDRA | ZHR | Particle density | |
|---|---|---|---|---|---|---|
| 2012-10-08 12:22 | 195.447 | 3 | 2 | 19 | ±11 | 217 / 109·km3 |
| 2012-10-08 13:13 | 195.482 | 8 | 2 | 21 | ±12 | 240 / 109·km3 |
| 2012-10-08 13:37 | 195.499 | 3 | 2 | 122 | ±70 | 1394 / 109·km3 |
| 2012-10-08 14:00 | 195.514 | 6 | 3 | 18 | ±9 | 206 / 109·km3 |
| 2012-10-08 14:07 | 195.519 | 1 | 2 | 28 | ±16 | 320 / 109·km3 |
| 2012-10-08 14:22 | 195.529 | 4 | 3 | 14 | ±7 | 160 / 109·km3 |
| 2012-10-08 14:37 | 195.540 | 4 | 2 | 13 | ±8 | 149 / 109·km3 |
| 2012-10-08 14:55 | 195.552 | 5 | 2 | 11 | ±6 | 126 / 109·km3 |
| 2012-10-08 15:44 | 195.586 | 4 | 4 | 126 | ±56 | 1440 / 109·km3 |
| 2012-10-08 16:10 | 195.603 | 3 | 3 | 64 | ±32 | 732 / 109·km3 |
| 2012-10-08 16:22 | 195.612 | 2 | 2 | 65 | ±38 | 743 / 109·km3 |
| 2012-10-08 16:25 | 195.613 | 1 | 7 | 486 | ±172 | 5555 / 109·km3 |
| 2012-10-08 16:35 | 195.620 | 1 | 8 | 554 | ±185 | 6332 / 109·km3 |
| 2012-10-08 16:40 | 195.624 | 3 | 10 | 183 | ±55 | 2092 / 109·km3 |
| 2012-10-08 16:52 | 195.632 | 2 | 5 | 142 | ±58 | 1623 / 109·km3 |
| 2012-10-08 16:55 | 195.634 | 1 | 9 | 633 | ±200 | 7235 / 109·km3 |
| 2012-10-08 17:05 | 195.641 | 2 | 12 | 156 | ±43 | 1783 / 109·km3 |
| 2012-10-08 17:15 | 195.648 | 1 | 4 | 60 | ±27 | 686 / 109·km3 |
| 2012-10-08 17:15 | 195.648 | 1 | 3 | 261 | ±130 | 2983 / 109·km3 |
| 2012-10-08 17:25 | 195.655 | 1 | 4 | 332 | ±148 | 3795 / 109·km3 |
| 2012-10-08 17:25 | 195.655 | 1 | 8 | 89 | ±30 | 1017 / 109·km3 |
| 2012-10-08 17:35 | 195.662 | 2 | 6 | 55 | ±21 | 629 / 109·km3 |
| 2012-10-08 17:37 | 195.663 | 2 | 2 | 121 | ±70 | 1383 / 109·km3 |
| 2012-10-08 17:45 | 195.668 | 2 | 7 | 58 | ±21 | 663 / 109·km3 |
| 2012-10-08 17:52 | 195.674 | 2 | 3 | 60 | ±30 | 686 / 109·km3 |
| 2012-10-08 17:55 | 195.675 | 2 | 6 | 52 | ±20 | 594 / 109·km3 |
| 2012-10-08 18:05 | 195.682 | 1 | 7 | 60 | ±21 | 686 / 109·km3 |
| 2012-10-08 18:07 | 195.684 | 1 | 2 | 85 | ±49 | 972 / 109·km3 |
| 2012-10-08 18:15 | 195.689 | 1 | 6 | 53 | ±20 | 606 / 109·km3 |
| 2012-10-08 18:23 | 195.695 | 2 | 3 | 24 | ±12 | 274 / 109·km3 |
| 2012-10-08 18:35 | 195.703 | 1 | 5 | 58 | ±24 | 663 / 109·km3 |
| 2012-10-08 18:47 | 195.711 | 1 | 3 | 24 | ±12 | 274 / 109·km3 |
| 2012-10-08 19:02 | 195.722 | 1 | 2 | 23 | ±13 | 263 / 109·km3 |
| 2012-10-08 19:18 | 195.733 | 5 | 3 | 49 | ±24 | 560 / 109·km3 |
| 2012-10-08 19:37 | 195.746 | 2 | 3 | 172 | ±86 | 1966 / 109·km3 |
| 2012-10-08 19:41 | 195.748 | 1 | 2 | 30 | ±17 | 343 / 109·km3 |
| 2012-10-08 19:51 | 195.755 | 1 | 2 | 24 | ±14 | 274 / 109·km3 |
| 2012-10-08 19:52 | 195.756 | 3 | 0 | 2 | ±2 | 23 / 109·km3 |
Data has been received from 36 observers in 14 countries. Thank you for your efforts!
Note: click on the map for an interactive version.
Create your own analysis. The files below can be opened using Excel:
dra2012_rate.csv (number of meteors per interval per observer)
dra2012_magn.csv (number of meteors per magnitude bin per observer)
The information on this page may be distributed freely provided credit is given to the International Meteor Organization (IMO) and, when possible, to the individual observers. The computer facilities to generate this page are provided by ESA/RSSD and Armagh Observatory.
References:


FroYo XPress is more than just frozen yogurt. We leverage the fundamental concept of autonomously dispensing food and beverages to increase affordability and accessibility of food. By automating retail food and beverage dispensing, FroYo XPress will make nourishment cheaper and more accessible to current consumers, and in the long term, will allow lower income consumers to have access to food that they never had access to before. Technology brings retail infrastructure to a turning point, as our ideas of automation finally have the resources to be brought to market.Our mission is to engage food and beverage retailers with the future of digitized business, while making food and beverage highly accessible and more affordable to consumers of all kinds.
Get Started!Our frozen yogurt is made with the best ingredients. Dairy-free, healthy, and a great snack.
The kiosk can be placed anywhere! All we need are some basic utilities to get started.
Our kiosk is very intuitive! Users simply can swipe, pour, and enjoy for the best experience.
Our team has been working hard for years. We're willing to work with you for the best arrangement for you.
Some quick example text to build on the card title and make up the bulk of the card's content.
More Details Another linkSome quick example text to build on the card title and make up the bulk of the card's content.
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| Checks to see if an image and designated rectangle area have collided. |
| image = Image to test collision against x = image's x location y = image's y location frame = image's frame rect x = x location start of the rect to test rect y = y location start of the rect rect width = width of the rect rect height = height of the rect |
Command Description:
| There are many times when you need to see if an image has collided with (or is touching) a specific rectangular area of the screen. This command performs pixel perfect accurate collision detection between the image of your choice and a specified rectangle on the screen. The usefulness of this comes into play when you think of a game like Monkey Island - when you might have a backdrop on the screen showing a room that has items in it the player can interact with using a mouse pointer graphic. In some cases, the items on the screen you wish to interact with will be seperate (often animated or moving) images of their own. For this situation, you would be better off using ImagesCollide or ImagesOverlap to detect the collision between pointer graphic and the image. Howevever, should your program just need to detect a graphic (like a mouse pointer) over at a particular location/region of the screen (often called a 'hot spot'), this command works great! As with any collision in Blitz, you will need to know the PRECISE location of the graphic you wish to test collision with, as well as the x, y, width, and height of the screen area (rect) you wish to test. The example blatently uses graphics that are much smaller than their container to show you how accurate this command really is. The ImageRectOverlap example is identical to this one - and shows how inaccurate the overlapping method can be with graphics of this nature. |
Example:
| ; ImageRectCollide Example ; Turn on graphics mode Graphics 640,480,16 ; Create new empty graphic to store our circle in gfxCircle=CreateImage(50,50) ; Draw the circle image ; Set drawing operations to point to our new empty graphic SetBuffer ImageBuffer(gfxCircle) Color 255,0,0 ; Note the extra space between the circle and the edge of the graphic Oval 10,10,30,30,1 ; Let's not forget to put the drawing buffer back! SetBuffer BackBuffer() Color 0,0,255 ; Locate our box to a random, visible screen location hotX=Rnd(50,610) hotY=Rnd(50,430) hotW=Rnd(20,100) hotH=Rnd(20,100) ; Repeat the loop until we've had a collision Repeat ; Attach our mouse to the circle to move it circleX=MouseX() circleY=MouseY() ; Standard double buffer technique; clear screen first Cls ; Draw our rectangle Rect hotX,hotY,hotW,hotH,0 DrawImage gfxCircle,circleX,circleY ; Standard double buffer technique; flip after all drawing is done Flip ; We test the locations of our rectangle area and circle to see if they have pixel collided Until ImageRectCollide (gfxCircle,circleX,circleY,0,hotX,hotY,hotW,hotH) ; Loop is over, we must've collided! Text 0,0, "WE'VE HAD A COLLISION! PRESS A MOUSE BUTTON" ; Can't see the text until we flip .. Flip ; Wait for a mouse click WaitMouse() ; End our graphics mode EndGraphics |


'Dirty Work' (1998)
A movie review by Walter Frith
Member of the 'Internet Movie Critics Association' http://www.geocities.com/Hollywood/Studio/5713/index.html
Member of the 'Online Film Critics Society' http://smart.sbay.com/ofcs/
The core audience for movies is people between 18 and 24 years of age. I remember when I was that age, I still hated movies like 'Dirty Work'. Even when I was 12 to 18, I still hated movies that insulted my intelligence while offending my sense of decency and good taste. Decency and good taste are, of course, a matter of individual opinion on everyone's part, but let's be honest; movies like 'Dirty Work' are indefensible trash intended to end another wannabe's career. Cue cards may work on the Weekend Update portion of 'Saturday Night Live' but Norm Macdonald's jump to the big screen has him in character doing what looks like a reading of cue cards to execute his lines and every gag in the film falls flat on its face with Macdonald being the biggest of turkeys.
Upon research, I discovered that there have been four other movies in Hollywood history that have the same title as this film and I thought I might be in trouble from the opening credits when I saw that it took three people to write a film like this.
Macdonald stars as a man well into his thirties who hasn't found his way in life and the void we all go through in life seems to be stretching its boundaries in his case. He has trouble holding every job he has, he can't keep a steady girlfriend and is an easy target for insults. His best buddy Sam (Artie Lange), turns out later in the film to be closer to Macdonald than he realizes and Sam's dad (Jack Warden) holds the secret to Macdonald's past that is completely wasted as the humourous way they try and present the scenario will make your jaw drop with its offensive and no talent execution style courtesy of director Bob Saget (television's 'America's Funniest Home Videos' and 'Full House'). How did Saget get to direct a motion picture? He must have more friends than talent. He looks good on t.v. but he also looks like one of the ultimate "bad corn" contributors to modern day pop culture through his efforts here as a director. Next, we'll probably have one of the Olsen twins directing movies.
Failing at every turn, Macdonald and his buddy Sam decide to open a business doing the one thing they're really good at: REVENGE! They find that even though they're relatively successful at it, there are still problems with their new found endeavours as Macdonald is asked to do a job that will strike a blow against the friendly grandmother of a girl (Traylor Howard), that he's sweet on.
Unoriginal, unfunny, rude, offensive (especially to fat people and the homeless), 'Dirty Work' doesn't even look like it has someone else watching besides director Saget, interested enough to try and make the film work. While directors are ultimately responsible for the way a film turns out, sometimes there are other people such as the first assistant director, the writer or even the actors who can create input in making a series of scenes work to become at least a mild success. No one here has any idea of how to do that. It's one of the biggest no talent hack jobs I've ever seen and ranks in my all time worst films list along with other films from the last couple of years such as Tom Arnold's 'The Stupids' and John Leguizamo's 'The Pest'. After feeling ripped off for your money, just remember an old joke that applies to this film, not to be taken seriously but I hope it makes you feel better. If you can't beat them, arrange to have them beaten!
OUT OF 5 > zero
Visit FILM FOLLOW-UP by Walter Frith http://home.netinc.ca/~wfrith/movies.htm
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


Assessing topic discovery evaluation measures on
Facebook publications of political activists in Brazil
abstract
Automatic topic detection in document collections is an im- portant tool for various tasks. In particular, it is valuable for studying and understanding socio-political phenomena. A currently relevant example is the automatic analysis of streams of posts issued by different activist groups in the current Brazilian turmoil, through the analysis of the gen- erated streams of texts published on the web. It is useful to determine the relative importance of the different topics identified. We can find in the literature proposals for mea- suring topic relevance. In this paper, we adopt two of such measures and apply them to data sets extracted from Face- book pages related to Brazilian political activism. On top of the analysis, we then carry an experimental evaluation of the human interpretability for these two measures by com- paring their outcomes with the opinion of three Brazilian professionals from the field of Communication Science and media-activists.
citation
- Arian Pasquali, Marcela Canavarro, Ricardo Campos, and Alípio M. Jorge. Assessing topic discovery evaluation measures on facebook publications of political activists in brazil. In In Proceedings of the International Conference on Computer Science and Software Engineering, C3S2E, 2016.
The Data Set
All data was collected in mid-March, 2016, using the appli- cation Netvizz 1.25 which retrieved 314,973 documents (posts, photos, videos, link shares and events) for the 36 pages together. Each page generated one tab file, and the six files of each class were considered together, as a unique data set, which means that the experiment runs into 6 data sets - one per each 6-page class.
Netvizz lets the researcher choose between the last N posts and all posts published in a window of time. We opted to collect data from March 1, 2015, to February 29, 2016, because that was an intensive period in the Brazilian political context, generating lots of relevant content in social net- works. The generated data set aggregates 313,514 posts, considering each status update, photo, video, note and link share on a page as a document.
Polical View Classes
Class 1
- social movement with a singular main cause: page focused on a specific kind of Right, disseminating top- ics related to its main cause. It is managed by activists who maintain actions on the streets and on digital social networks.
Class 2
- grassroots media: leftist collective identities1 that disseminate own-produced and third-party news pieces, mainly about social movements, popular demonstrations and other related topics. Many of them were born from massive popular protests in Brazil in 2013 and tend to be neither pro-President Dilma Rousseff nor pro-impeachment. They are frequently confronting mass-media outlets’ versions on political topics.
Class 3
- Pro-President Dilma Rousseff administration: news outlets that disseminate own-produced pieces. They also tend to share lots of content from each other and are frequently confronting mass-media outlets’ versions on po- litical topics.
Class 4
- Rightist news outlets that disseminate own- produced and third-party pieces that demand president Dilma Rousseff impeachment. They are also consistently against left-wing administrations in other Latin American countries and adopt a strong discourse against corruption.
Class 5
- Rightist pages that spread viral memes and third-party links demanding President Dilma Rousseff im- peachment. They are frequently against left-wing admin- istrations in other Latin American countries and are more focused on easy-to-turn-viral content than analytical or de- scriptive news pieces.
Class 6
- Pages with a progressivist view of political themes. They are more focused on easy-to-turn-viral content than analytical or descriptive news pieces although some- times they publish third-party news, usually with sarcastic comments.It is important to note that none of the pages is a Face- book page of any traditional media corporation and all of them are named as a collective identity instead of a singu- lar individual’s profile (either a public person or a common user). Nevertheless, a few of them might be managed and updated by only one person.


Create a Course
Enter Information Below
Name of the Course
Subject
Enter Max Members
Pick a Start Date for the Course
Pick an End Date for the Course
Pick a color for the course template
Create Course


Please feel free to contact us by phone at<PHONE_NUMBER> or email us via the form below.
You may also find us at any one of our Bend OR store locations: Chandler and Pence, Chandler and 14th, Fresno and 14th, Minnesota and Bond, or NE Neff and NE Williamson.


InspectorDataAdapter Class
Implements @ember/debug/data-adapter
with for EmberData
integration with the ember-inspector.
Item Index
Methods
columnNameToDesc
-
name
Creates a human readable string used for column headers
Parameters:
-
name
StringThe attribute name
Returns:
Human readable string based on the attribute name
columnsForType
-
typeClass
Get the columns for a given model type
Parameters:
-
typeClass
Model
Returns:
An array of columns of the following format: name: {String} The name of the column desc: {String} Humanized description (what would show in a table column name)
getFilters
()
Array
private
Specifies how records can be filtered based on the state of the record
Records returned will need to have a filterValues
property with a key for every name in the returned array
Returns:
List of objects defining filters
The object should have a name
and desc
property
getRecordColor
-
record
Returns a color that represents the record's state Possible colors: black, blue, green
Parameters:
-
record
Model
Returns:
The record color
getRecordColumnValues
-
record
Gets the values for each column This is the attribute values for a given record
Parameters:
-
record
Modelto get values from
Returns:
Keys should match column names defined by the model type
getRecordFilterValues
-
record
Returns the values of filters defined by getFilters
These reflect the state of the record
Parameters:
-
record
Model
Returns:
The record state filter values
getRecordKeywords
-
record
Returns keywords to match when searching records
Parameters:
-
record
Model
Returns:
Relevant keywords for search based on the record's attribute values
getRecords
-
modelClass
-
modelName
Fetches all loaded records for a given type
Returns:
An array of Model records This array will be observed for changes, so it should update when new records are added/removed
observeRecord
-
record
-
recordUpdated
Observes all relevant properties and re-sends the wrapped record when a change occurs
Parameters:
-
record
Model -
recordUpdated
FunctionCallback used to notify changes
Returns:
The function to call to remove all observers
watchModelTypes
-
typesAdded
-
typesUpdated
Fetch the model types and observe them for changes. Maintains the list of model types without needing the Model package for detection.
Parameters:
-
typesAdded
FunctionCallback to call to add types. Takes an array of objects containing wrapped types (returned from
wrapModelType
). -
typesUpdated
FunctionCallback to call when a type has changed. Takes an array of objects containing wrapped types.
Returns:
Method to call to remove all observers


This file exists solely to respond to /search URL with the related search
layout template.
No content shown here is rendered, all content is based in the template layouts/page/search.html
Setting a very low sitemap priority will tell search engines this is not important content.
This implementation uses Fusejs, jquery and mark.js
Initial setup
Search depends on additional output content type of JSON in config.toml
[outputs]
home = ["HTML", "JSON"]
Searching additional fileds
To search additional fields defined in front matter, you must add it in 2 places.
Edit layouts/_default/index.JSON
This exposes the values in /index.json
i.e. add category
...
"contents":{{ .Content | plainify | jsonify }}
{{ if .Params.tags }},
"tags":{{ .Params.tags | jsonify }}{{end}},
"categories" : {{ .Params.categories | jsonify }},
...
Edit fuse.js options to Search
static/js/search.js
keys: [
"title",
"contents",
"tags",
"categories"
]


"; // script ends HERE var foo = "is this javascript?";
"; // script ends HERE var foo = "inside CDATA"; ]]>
"; // script ends HERE var foo = "inside comment"; -->
after script
inside script?


I wrote this as part of taking Hadley Wickham’s Readings in Applied Data Science course at Stanford in the spring of 2018.
As data science skills become increasingly important, the teaching of data science becomes increasingly valuable. In the context of data science, I think of teaching not as the traditional process of talking at a whiteboard or grading worksheets, but instead as the process of creating environments and designing experiences that leads to measurable learning for students.
As a matter of definition, I am interested in developing in students the ability to extract value out of data (which I’ll refer to as data science). The students I am interested in are anyone with the numeracy background to not need additional training in, say, algebra, but not necessarily with backgrounds in either programming or any level of serious statistics.
The American Statistical Association (ASA) has recognized changes in training made necessary by a changing landscape. In 2005, they first put out suggestions for a direction for the future of introductory statistics, and they updated these suggestions again in 2016 (ASA 2016). Their target is teaching introductory statistics at a college, but the wisdom contained also applies to teaching data science in any environment. Here are their suggestions (page 3):
Most of these recommendations are simply generally good teaching. For example, there has been a great deal of recent educational research pointing out the significant measurable benefits of active learning (C. E. Wieman 2014; Koedinger et al. 2015). It’s also worth pointing out that some scholars argue that these suggestions point in the right direction but are simply not enough (G. Cobb 2015).
In any case, essential to the ASA suggestions is critical thinking or decision making. Holmes, Wieman, and Bonn (2015) define critical thinking as “the ability to make decisions based on data, with its inherent uncertainties and variability” (page 1). The ASA doesn’t provide any explicit guidance as to how to build critical thinking in students, but Holmes, Wieman, and Bonn (2015) offer strikingly simple advice: “the key element for developing this ability is repeated practice in making decisions based on data, with feedback on those decisions” (page 1).
The ASA suggestions and educational research offer somewhat obvious advice such as have students learn actively while analyzing real data with technology; when new ideas are introduced, focus on conceptual understanding as opposed to rote memorization; and measure student learning through assessments. What, then, are the difficult or unsolved parts of teaching data science? I argue that there are three: first, building a social environment or culture that is conducive to learning; second, choosing technology and designing learning activities in which students are asked to make decisions; and third, measuring or assessing learning.
Building an environment in which students feel free to expose their own knowledge state and compassionately help each other learn is incredibly difficult. The idea of a growth mindset was first put forth by Carol Dweck (Dweck and Sumoreads 2017). Jo Boaler discusses the growth mindset especially in the context of the math classroom and fittingly refers to it as the “mathematical mindset” (Boaler 2016). Their research points out the importance of students believing that they can improve through practice. More interestingly, perhaps, they offer suggestions as to how to foster growth mindsets such as praising effort as opposed to skill (Khan 2014).
I like the idea of a “data science mindset.” Especially important to building such a mindset is getting students to think critically and make decisions as a group. For this to be effective, students need to be especially comfortable with each other socially. Humans can be shy creatures. Creating environments that overcome this tendency to get students to engage deeply with each other, share thinking, and challenge each other’s ideas productively is incredibly difficult.
The closest thing to magic that I’ve seen for accomplishing this goal is improv. From my experience, students can enter a room shy and unsure and a few hours later be completely comfortable with each other by doing improv together. The book “The Second City Guide to Improv in the Classroom” offers full details on the benefits of improv in the classroom along with specific activity suggestions (McKnight and Scruggs 2008). These techniques could easily be adapted to a data science environment by, for example, having students act out what a function does as a group, having a classroom norm of yelling out “yay” enthusiastically when getting an error, or requiring students to start sentences with “yes, and…” when brainstorming how they might solve a data science problem. These ideas will strike some as silly, but that’s actually the essential ingredient.
Teachers often overlook purposefully building culture. In my opinion, nothing could be a greater mistake. Investing in classroom culture especially at the beginning pays great dividends. If a teacher doesn’t explicitly build culture, the culture of the classroom is likely to become similar to the “real-world” culture outside of the classroom, which is particularly damaging to students from backgrounds that are often marginalized in analytical circles. In essence, building culture is both an equity and effectiveness issue (P. Cobb and Hodge 2011).
For this section, I did a deep dive on three papers that each suggest different technology in the classroom.
Learning Statistics Using Motivational Videos, Real Data and Free Software – Harraway 2012
The fivethirtyeight R Package: “Tame Data” Principles for Introductory Statistics and Data Science Courses – Kim, Ismay, and Chunn 2018
Web Application Teaching Tools for Statistics Using R and Shiny – Potter et al. 2016
The choice of learning technology comes down to managing the amount of energy a course has. If energy is spent on specifics of learning technology, then there will be less energy available for other topics. However, it’s also important to recognize that some learning technologies are more valuable for students to learn than others. For example, using R (versus specific-use learning applets) might come at a higher cost for the course, but also has greater potential value to the student after the course.
In Learning Statistics Using Motivational Videos, Real Data and Free Software, Harraway (2012) advocates the use of the software GenStat for Teaching and Learning (GTL) which is a watered down version of the professional software GenStat 14. GTL is built to occupy a middle-ground between spreadsheets and advanced data analysis software by being entirely menu driven and focusing on ease of use of basic statistical needs such as transforming data, model fitting, hypothesis testing, and bootstrapping. The creators measure the effectiveness of the software by piloting it in a few classrooms and then observing and surveying results – for example, reporting that out of 41 students, only 6 students described GTL as hard to use. GTL also has learning activities and videos directly associated with its features.
Harraway (2012) admits that R is the largest competitor of GTL but continually emphasizes the needless complexities and frustration induced by requiring programming and syntax. I find this to be the most interesting question this paper raises. Taking professional software, removing complexity for beginners, and designing purposeful learning activities seems like a good idea, but I have a hard time buying the argument that being menu based is a required or even a desirable feature. My prior is that it’s a good exercise for all students to interact with a syntax based program, and it can be made much less painful with good curriculum design and instruction. In any case, the fundamental point of having lighter versions of software designed specifically for learners is an interesting one.
In The fivethirtyeight R Package: “Tame Data” Principles for Introductory Statistics and Data Science Courses, Kim, Ismay, and Chunn (2018) don’t describe adapting software to be simpler, but instead advocate for taming data in such a way that it requires students to focus on important obstacles. For example, at first providing data in a tidy format so students don’t yet have to worry about reshaping. They put this advice into action by providing a well-documented R package with datasets from the data-driven journalism website FiveThirtyEight.
Their fundamental principle is that students need to be taught the “whole game” of data science as opposed to just isolated pieces one at a time, but doing so by tossing students too far in the deep end is counterproductive because students will often spin their wheels on low yield concepts or concepts they are not yet ready for. The solution, then, is to design learning experiences based on data that has been purposefully curated to both let students experience the whole game of data science and encounter the right obstacles at the right time (e.g. productive struggle). This strikes me as the exact right mindset data science teachers should hold. The extraordinarily difficult part is designing the datasets and the learning experiences with this level of purpose. The provided R package serves as a nice start.
The third paper with regard to technology in teaching data science is Web Application Teaching Tools for Statistics Using R and Shiny (Potter et al. 2016). They point out that applets can be powerful teaching tools, especially for helping students build intuition. However, building applets requires technical expertise and a great deal of time. Shiny simplifies this process greatly. The paper comes with a companion site that illustrates a variety of impressive applets.
Applets seem somewhat unimportant relative to the main software used in the course, but I actually think teachers designing shiny apps for their classrooms could be incredibly valuable, especially if combined with thoughtful tame data exercises. Imagine a student tackles a tame data analysis but bumps into hairy statistical concepts along the way for which there is an applet specifically designed with that data analysis in mind to help the student build statistical intuition. This could be very powerful.
In summary, the biggest gap I see in the literature on technology use and activity design for data science is not enough focus on actually asking students to make decisions. Don’t ask students what the probability of someone arriving to work on time is, instead ask them what time they recommend the person leaves. Don’t ask students what the treatment effect is and if there are heterogeneous effects, ask them who they would give the medicine to with a fixed budget of a million dollars.
Then give feedback on both the process and the decision. For example:
Your group gave the medicine to young men instead of older women because you didn’t properly account for selection bias. 10 young men were cured but at the opportunity cost of 1000 older women’s lives. You should have controlled for zip code instead of state in your regression. Perhaps you overlooked this because you didn’t keep your geographic variables together when you were cleaning the data (see line 22 of your first script).
Imagine how different that is than the usual feedback:
Your heterogeneous effect estimates seem to be off perhaps because you didn’t properly account for selection bias.
My takeaway is that the essential piece to high quality data science activities is asking questions that focus on decision making and designing the activity such that students bump into important obstacles, while obstacles that students are not ready to face are discretely removed by careful curation of the data. The teacher also needs to deeply understand every wrinkle of the data so that they can quickly identify where students are and nudge them in the right direction. Real world data is preferred for sure, but if this requires using simulated data that feels real, I think that’s okay too.
Data science is about decision making, and decision making is hard to measure. Machine gradeable formats don’t seem to do the trick and alternatives are time-intensive and subjective. In addition, desirable data science learning outcomes are often longer-term and have as much to do with a student’s relationship to data science as actually mastering skills. With that in mind, perhaps course surveys and gathering data on student confidence and sentiment is as valuable as traditional educational assessments (Wirth and Perkins 2005).
In summary, we have mountains to climb in the way of effective measurement and assessment of data science learning. Maurer and Lock (2016) offer an interesting starting place where they randomly assign Iowa State University students to a simulation-based or traditional inference curricula and compare students’ pre and post-test gains on questions that target specific learning objectives. A similar example is found in C. Wieman and Holmes (2015). A promising future direction is to consider program evaluation which takes a wider view of measurement. Moore and Kaplan (2015) provide an example by evaluating the undergrad statistics major at the University of Georgia.


SMF Distribution Ltd is a Bulgarian music company, with more than 20 years of experience in the entertainment field.
SMF Distribution Ltd's Online catalogue presently contains over 1 000 000 items
which makes our company one of the biggest importers and music lovers of audio and visual products in Bulgaria.
For more information visit our online shop smf-bg.com »


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YFM is an optional section of valid YAML that is placed at the top of a page and is used for maintaining metadata for the page and its contents.
YFM can be used with both pages and partials, so unless otherwise noted you can safely assume that when the documentation refers to the YFM of a page, the same also applies to the YFM of a partial.
---
title: YAML Front Matter
description: A very simple way to add structured data to a page.
---

 {{ title }}

 {{ description }}

Page content here...
layout
: Optionally define or override the layout to use. You must include file extension, since Assemble can process multiple file types. Layout files can exist in any directory, and may be.published
: set to false
to exclude a file from being rendered by a task-target.category
/categories
/tags
: Define the categories and tags as
YAML lists or a space-separated string. for each category and tag, Assemble will generate a page in the dest
directory.If set, allows to specify tags attributed to given entry. Tag pages are generated automatically. Entry may belong to more than one tag, use YAML List to specify multiple tags.
Any variables in the front-matter that are not predefined are mixed into the data that is sent to the Liquid templating engine during the conversion. For instance, if you set a title, you can use that in your layout to set the page title:
<title>{{ page.title }}</title>
This may not be obvious at first, is that YAML Front-Matter acts as a kind of "conduit" for passing information to pages via Lo-Dash templates.
So you could do this:
grunt.initConfig({
assemble: {
component: {
options: {
data: 'page.json'
},
files: {
'index.html': ['src/pages/*.hbs' ]
}
}
}
});
With page.json
containing:
{
"index ": {
"title ": "Home"
},
"about ": {
"title ": "About Us"
}
}
And in the YFM of the page, use underscore templates:
---
title: <%= page.index.title %>
---
{{ title }}
Alternatively, inside the Grunfile you can use grunt.config.set
to define the data to be used for a given variable:
grunt.config.set('page.index.title', 'Home' );
---
title:
list: <% _.forEach(people, function(name) { %>
<%= name %>
<% }); %>
people:
- Jon Schlinkert
- Brian Woodward
---
<!DOCTYPE html>

<meta charset="UTF-8">
<title>{{title}}</title>

{{{list}}}

---
layout: default.hbs
title: Early humans discovered...
description: Lots of things, because they were early humans.
date: 2013-07-04
categories:
- anthropology
- unibrows
- various wooly animals
tags:
- rocks
- wheel
- 30 inch wooden rims
published: false
---
---
title: My Blog
description: Like I said, my bloggg!
example:
custom:
variables:
- one
- two
- three
---

{{title}}

{{description}}

{{#each example.custom.variables}}

{{.}}

{{/each}}

---
title: <%= component.name || pkg.name %>
---
<!DOCTYPE html>

<meta charset="UTF-8">
<title>{{ titleize title }} Component</title>
<link rel="stylesheet" href="{{assets}}/css/{{title}}.css">

User Settings

My Profile

Friend Requests

Account Settings

Support

Log Out

{{> body }}

Use YAML Associative Arrays for rendering lists of information.
Indented Blocks, common in YAML data files, use indentation and new lines to separate the key: value
pairs
---
title: Associative arrays
people:
name: John Smith
age: 33
morePeople: {name: Grace Jones, age: 21}
---
Inline Blocks such as morePeople
, common in YAML data streams, use comma+space to separate the key: value
pairs between braces:
Used in templates like this:

{{{title}}}

Associative arrays

{{#people}}

Name:

{{name}}

Age:

{{age}}

{{/people}}
{{#morePeople}}

Name:

{{name}}

Age:

{{age}}

{{/morePeople}}

See some great usage examples in assemble's YAML test files:
Custom Variables
Lo-Dash Templates
.json
or .yaml
data filesSee the template for this page →
Find an error? Let us know →


Queen Elizabeth banned a documentary showing her buying ice cream for a young Prince Edward – here’s why!
by Lesego MkhizeCape Town - In 1972, Queen Elizabeth banned a documentary that showed an intimate moment between her and her youngest son, Prince Edward.
According to the Daily Express, the queen banned the film which documented the royal family’s daily lives.
The documentary, which was originally released in 1969 and screened on the BBC and ITV, detailed the life of the now 93-year-old as a ruling monarch.
In one of the scenes, the queen and her then four-year-old son Prince Edward can be seen entering a candy store where she purchased ice cream for him using money from her purse.

Despite letting the camera’s into her life then, Queen Elizabeth soon banned the 110-minute doccie because it "lets the magic out" about the royal family, The Sun reported.
In addition to this, the film dispelled the notion that the queen never carries money in her purse which, according to the Daily Mail, she reportedly does do once a week on a Sunday.
Sources: Express UK , The Sun , Daily Mail


[gecode-users] Soft constraints ?
Alberto Delgado
trosky99 at gmail.com
Thu Nov 22 20:35:29 CET 2007
This might help you :
http://cic.puj.edu.co/~adelgado/files/CLEISoft.pdf
Regards,
Alberto
On Nov 22, 2007 1:54 PM, Christian Schulte <cschulte at kth.se> wrote:
> There are dedicated frameworks for softconstraints being more powerful
> than
> what Jorge mentioned.
>
> For soft-constraints based on semirings there are some papers by Georget,
> Codognet, Rossi, ... (if memory serves me right) that explain how to
> implement them. But that's not far from obvious and I would not know where
> to get started in Gecode.
>
> Christian
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Jorge Marques Pelizzoni
> Sent: Thursday, November 22, 2007 5:44 PM
> To: gecode user list
> Subject: Re: [gecode-users] Soft constraints ?
>
>
> I'm no soft constraints wiz either, but as far as I know this is how you
> would approach it: all your soft constraints must be reified and used in
> the concoction of a cost variable/function. Then you solve your problem by
> optimizing this variable.
>
> Cheers,
>
> Jorge.
>
> Martin Mann escreveu:
> >
> > Hi,
> >
> > I am sorry to ask totally unprepared about the topic but hope you
> > excuse. I've no deeper knowledge about soft constraints right now and
> > not checked the Gecode API seriously for that. :)
> >
> > Is there direct support for soft constraints in Gecode?
> > If so where to start looking?
> > If not is there an easy workaround to enable something similar? (Maybe
> > some literature to start with?)
> >
> > Sorry for asking without knowing much about the things I am intrested
> > in. But we are thinking about a student thesis based on soft constraints
> > and would like to implement it using Gecode.
> >
> > Thanks for any reply,
> >
> > Martin
> >
> >
> > --
> > Martin Mann, Dipl. Bioinf.
> > Bioinformatics - Inst. of Computer Science
> > Albert-Ludwigs-University Freiburg
> > Tel: ++49-761-203-8259
> > Fax: ++49-761-203-7462
> > http://www.bioinf.uni-freiburg.de/~mmann/<http://www.bioinf.uni-freiburg.de/%7Emmann/>
> >
> > _______________________________________________
> > Gecode users mailing list
> > users at gecode.org
> > https://www.gecode.org/mailman/listinfo/gecode-users
> >
>
>
> Jorge M. Pelizzoni
> ICMC - Universidade de São Paulo
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
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- ScanBook - Class in ca.ualberta.cmput301f20t04.bookatmenow
-
Scan book ISBN for add/borrow/return.
- ScanBook() - Constructor for class ca.ualberta.cmput301f20t04.bookatmenow.ScanBook
-
- ScanBookActivityTest - Class in ca.ualberta.cmput301f20t04.bookatmenow
-
- ScanBookActivityTest() - Constructor for class ca.ualberta.cmput301f20t04.bookatmenow.ScanBookActivityTest
-
- searchBooks(List<String>, OnSuccessListener<List<Book>>, OnFailureListener) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.DBHandler
-
Searching method, returns an array of books based on an array of terms; searching code references the Description field on the database
- selectLocation() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.GeoLocationActivityTest
-
- setAddress(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Sets user's address on account creation.
- setAuthor(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setBook(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Notification
-
Sets the book the notification is about.
- setBookISBN(View) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.ScanBook
-
- setBorrower(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setEmail(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Sets user's email on account creation.
- setIsbn(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setLocation(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setOwner(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setPassword(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Sets the user's password on account creation.
- setPhone(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Sets the user's phone # on account creation.
- setPickupLocation(View) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.GeoLocation
-
- setReceiveUUID(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Notification
-
Sets UUID of recipient.
- setRequests(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setReturning(boolean) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setSelfUUID(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Notification
-
Sets the currently logged in user's uuid.
- setSender(List<String>) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Notification
-
Sets the sender of the notification.
- setStatus(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setTitle(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Book
-
- setType(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.Notification
-
Sets the type of notification.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.GeoLocationActivityTest
-
Runs before all tests and creates solo instance.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.LoginActivityTest
-
Runs before all tests and creates solo instance.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.MainActivityTest
-
Runs before all tests and creates solo instance.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.MyBookActivityTest
-
Runs before all tests and creates solo instance.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.ProfileActivityTest
-
Runs before all tests and creates solo instance.
- setUp() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.ScanBookActivityTest
-
Runs before all tests and creates solo instance.
- setUserID(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Only used when the user is first created.
- setUsername(String) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.User
-
Sets the username on account creation.
- sort(BookAdapter.CompareBookBy.SortOption) - Method in class ca.ualberta.cmput301f20t04.bookatmenow.BookAdapter
-
- SortDialog - Class in ca.ualberta.cmput301f20t04.bookatmenow
-
Search books dialog.
- sortNotifications() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.NotificationAdapter
-
Sorts the notifications list by newest to oldest notification based on their timestamps.
- SortTest - Class in ca.ualberta.cmput301f20t04.bookatmenow
-
- SortTest() - Constructor for class ca.ualberta.cmput301f20t04.bookatmenow.SortTest
-
- sortTest() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.SortTest
-
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.GeoLocationActivityTest
-
Gets the Activity
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.LoginActivityTest
-
Gets the Activity
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.MainActivityTest
-
Gets the Activity
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.MyBookActivityTest
-
Gets the Activity
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.ProfileActivityTest
-
Gets the Activity
- start() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.ScanBookActivityTest
-
Gets the Activity
- successfulLoginLogoutTest() - Method in class ca.ualberta.cmput301f20t04.bookatmenow.LoginActivityTest
-
Checks successful login and logout.


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object hhreco.classification.DataRep
Representing a collection of data with the means, standard deviations, and variances of the feature components.
| Field Summary | |
(package private) int |
_n
The number of examples |
| Constructor Summary | |
DataRep(FeatureSet[] examples,
int numFeatures)
Compute the means, standard deviations, variances from the given set of feature vectors. |
| Method Summary | |
static double[] |
computeMeans(double[][] fvals,
int numFeatures)
Compute the means for the feature elements from the given set of examples, fvals. |
static double[] |
computeStd(double[] means,
double[][] fvals,
int numFeatures)
Compute the standard deviations for the feature elements from the given set of examples, fvals. |
static double[] |
computeVariances(double[] means,
double[][] fvals,
int numFeatures)
Compute the variances for the feature elements from the given set of examples, fvals. |
double[] |
getMeans()
Return the mean vector. |
double[] |
getStds()
Return the standard deviations of the feature components. |
double[] |
getVariances()
Return the variances of the feature components. |
java.lang.String |
toString()
The text representation of this class. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
int _n
| Constructor Detail |
public DataRep(FeatureSet[] examples, int numFeatures)
| Method Detail |
public double[] getMeans()
public double[] getStds()
public double[] getVariances()
public static double[] computeMeans(double[][] fvals, int numFeatures)
public static double[] computeStd(double[] means, double[][] fvals, int numFeatures)
public static double[] computeVariances(double[] means, double[][] fvals, int numFeatures)
public java.lang.String toString()
|
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JMU Authority Record Form for Faculty
James Madison University Libraries and Educational Technologies would like to create or modify an existing authority record for you as part of the Library of Congress National Authority File. We believe that the creation of authority records boosts the visibility of your scholarly publications and brings additional national and international prominence to JMU.
Your authority record is a “personography” that details the preferred and fuller forms of your name, institutional affiliations, and professional identity, together with brief citations to no more than four publications. Please include as much information as possible. JMU Libraries staff will “translate” the descriptors you use for your professional fields of activity and occupations into controlled vocabularies. We ask that you obtain an ORCID identifier, if you do not already possess one, and add it to your record -- we will add other online researcher identifiers of yours if we find them, or you supply them yourself.
Here is an example of a populated JMU name authority record form:
NAR example
When your authority record has been added to the Library of Congress National Authority File, we will email you with a link.
On behalf of James Madison University, we thank you for taking the time to complete this form as a service to your employer.
Biographical Information
Preferred Name [Last Name, First Name (Middle Names)]
The form of your name that you choose to be known by professionally or that you anticipate publishing under, if different from your full name (ex: preferred name Gates, Bill, versus variant name/full name Gates, William Henry III)
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| glmmPQL {MASS} | R Documentation |
Fit a GLMM model with multivariate normal random effects, using Penalized Quasi-Likelihood.
glmmPQL(fixed, random, family, data, correlation, weights, control, niter = 10, verbose = TRUE, ...)
fixed |
a two-sided linear formula giving fixed-effects part of the model. |
random |
a formula or list of formulae describing the random effects. |
family |
a GLM family. |
data |
an optional data frame used as the first place to find
variables in the formulae, |
correlation |
an optional correlation structure. |
weights |
optional case weights as in |
control |
an optional argument to be passed to |
niter |
maximum number of iterations. |
verbose |
logical: print out record of iterations? |
... |
Further arguments for |
glmmPQL
works by repeated calls to lme
, so
package nlme
will be loaded at first use if necessary.
A object of class "lme"
: see lmeObject
.
Schall, R. (1991) Estimation in generalized linear models with random effects. Biometrika 78, 719–727.
Breslow, N. E. and Clayton, D. G. (1993) Approximate inference in generalized linear mixed models. Journal of the American Statistical Association 88, 9–25.
Wolfinger, R. and O'Connell, M. (1993) Generalized linear mixed models: a pseudo-likelihood approach. Journal of Statistical Computation and Simulation 48, 233–243.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
library(nlme) # will be loaded automatically if omitted summary(glmmPQL(y ~ trt + I(week > 2), random = ~ 1 | ID, family = binomial, data = bacteria))


◆ free()
◆ getHeight()
| int LTexture::getHeight |
( |
| ) |
const |
- Returns
- the height of the texture
◆ getWidth()
| int LTexture::getWidth |
( |
| ) |
const |
- Returns
- the width of the texture
◆ loadFromFile()
| bool LTexture::loadFromFile |
( |
string |
filename, |
|
|
SDL_Renderer * |
gRenderer |
|
) |
| |
Loads a texture into a LTexture object. All images are color keyed (i.e. colors that match the color key will be made transparent)
◆ render()
| void LTexture::render |
( |
int |
x, |
|
|
int |
y, |
|
|
SDL_Renderer * |
gRenderer, |
|
|
SDL_Rect * |
clip = NULL |
|
) |
| |
Renders a texture, given position and renderer.
◆ setAlpha()
| void LTexture::setAlpha |
( |
Uint8 |
alpha | ) |
|
Sets texture alpha modulation
100% alpha (255) – opaque 75% alpha (191) 50% alpha (127) 25% alpha (63) 0% alpha (0) – fully transparent
◆ setBlendMode()
| void LTexture::setBlendMode |
( |
SDL_BlendMode |
blending | ) |
|
◆ setColor()
| void LTexture::setColor |
( |
Uint8 |
r, |
|
|
Uint8 |
g, |
|
|
Uint8 |
b |
|
) |
| |
Sets texture color modulation
The documentation for this class was generated from the following files:


My name is Courtney Presto and I'm a computer scientist. I love problem-solving, puzzles, games, and intellectual challenges.
As a double major in Film Production, I hope to eventually work in AR, VR, Video Game Programming or Animation. I'm a member of the IEEE Honor Society and am currently doing research on Computer Science education accessibility in High Schools. Check out my portfolio to see samples of my game design and game programing.
Desktop app programed in C++ using eclipse to learn basic gameplay programming.
Learned how to use load meshes for objects, use matrices to represent world position/location, and use key press events to control ship’s velocity/orientation in space.
Creator and team lead of an infinite runner desktop computer game.
Delegated tasks to team from conception to completion.
Passion project to gain experience in Unreal. Backend programmed in C++.
Programed HUD, object collision, object spawning, object motion increased over time.
Learned how to deal with difficulties with merge conflicts in git
I have 3 years of experience with group projects and passion projects using GitHub and Bitbucket. I've learned how to deal with merge conflicts and commit issues. My biggest challenge with Git was working on Super Happy Tiny Baby Turtle Game - many of us forgot to pull before we started working so we had to deal with merge conflicts often. We learned that communication was key and to always push often!
I built this website using HTML/CSS starting from a bootstrap template. In addition, I tutor children from underrepresented STEM demographics. One of the classes I teach is in basic HTML/CSS and web design!
I am currently a researcher at USC. I pulled Excel and Raw Text files from the California Board of Education. I then parsed the files into a MySQL database using a Java program I wrote. Now that the database is complete, I am querying it for the information I need to write my research paper. The database is > 9 million entries so I learned how to write efficient and complex queries to find the data I need. I also learned how to unit test the queries to insure the information is correct as I plan to submit my paper to various scientific journals
Super Happy Tiny Baby Turtle Game was programed using Unreal Engine 4. I wanted to gain experience using found assets, object spawning, character motion, HUD displays, and timers. Our biggest challenge was balancing gameplay but through trial and error we came up with a fun and easy desktop game!


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