OctoGuard
Defend your GitHub repos from spam, automatically.
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Actions
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Kurt Sutter Says 'Mayans MC' Finale Was Changed After He Was Fired: 'They Dumbed It Down and Made It Safe'
Former showrunner calls the move a “WGA violation” in now-deleted tweet
by Reid NakamuraIn a now-deleted tweet, former “Mayans M.C.” boss Kurt Sutter accused the network and studio behind the series of changing the ending of Season 2 after he was fired, a move he described as a WGA violation.
“I feel obliged to tell fans that after I was let go, days before it aired, without my knowledge, the [studio and network] changed the ending of the S2 finale,” Sutter wrote. “Beyond the disrespect and WGA violation, the change is dishearteningly indicative of the new regime — they dumbed it down and made it safe.”
Sutter did not specify what changes were made to the episode, which aired on FX on last week. The series is produced by Fox 21 Television Studios.
Also Read:
Sutter’s tweet came down less than an hour after it was first posted. It was followed shortly by another tweet, which was also deleted: “Like my final cut of S2, my last tweet has disappeared into unknown mythological ethos. Like all of you, I am terrified. #itsasmallworld,” he wrote.
Representatives for FX, Fox 21 and Sutter did not return TheWrap’s request for comment.
Also Read:
Sutter was ousted from the “Sons of Anarchy” spinoff, which he co-created with Elgin James, last month. It was reported at the time that the reason for his termination was complaints about his behavior from the show’s cast and crew, but Sutter denied that account in a follow-up email to his friends and collaborators. He instead pinned the blame on his unwillingness to cooperate with increased levels of corporate control by executives at Disney.
“The truth is, the suits wanted me gone,” Sutter wrote. “I stepped on toes and bruised egos. And in this Disney regime, I’m dangerous to the wholesome brand. And clearly not worth the trouble.”
Sutter had already been planning to step down from his role as co-showrunner on the third season, announcing at the Season 2 premiere in Los Angeles that he would hand over day-to-day control of the series to James. FX picked up a third season of “Mayans M.C.” with James as sole showrunner earlier this month.


## roger s. pressman ### mcgraw-hill, 1997, 4th ed.
a very business approach:
p.10: Software is (1) instructions (computer programs) that when executed provide desired function and performance, (2) data structure that enables the program to adequately manipulate information and (3) documents that describe the operation and use of the program
software quality is “conformance to explicitly stated functional and performance requirements, explicitly documented development standards, and implicit characteristics that are expected of all professionally developed software” - (EXPLICIT) REQUIREMENTS is the basis of quality measurements (i.e. what should the software do?) —— what should it do? - STANDARDS which define the criteria according to which the software should be developed ——- how should it do it? - (IMPLICIT) REQUIREMENTS ——- what should it (obviously) include?
i like the idea of implicit vs. explicit requirements
p. 13: standard is reusability, but how does it relate to source code?
p. 188: standards are uniform, or at least predictable, in order to make work more manageable.
there is a thing called software science, developed by a guy called Halstead, which is highly (exclusively) quantitative -> “intriguing” set of metrics at the source code level
operator: built-in names operands: custom names (knuth’s identifiers)
software isn’t just software as a compiled binary, it’s a software configuration (in the author’s words), which includes programs, documents, and data. which of those can be included in source code?
BUT PRINCIPLES
AND CONCEPTS
effective modular design
happens through functional independence, which is measured using two qualitative criteria: cohesion (the relative functional strength of the module, how much it does on its own) and coupling (the interdependence on modules).
cohesion follows information hiding (we strive for high cohesion)
| LOW END OF COHESION SPECTRUM, if tasks relate to each other loosely | –coincidental———–functional—- | HIGH END(if tasks relate to each other closely) |
coupling needs to be minimized (and this is why global variables are bad, mkay), also content coupling should be avoided (when one module modifies data within another module)
p. 410
structured programming depends on sequence, condition and repetition. the use of a limited number of logical constructs also contributes to a human understanding process that psychologists call CHUNKING. understanding is enhanced when readily recognizable logical forms are encountered. but then flowcharts show that it can get quite complicated hahaha.
p. 411
apparently pseudocode is also called “structured english” lol
and then there’s a whole section on OOP, but it’s probably better addressed somwhere else? even though it would be nice to compare differences between OOP in software engineering and OOP in computer science.
p. 682
problems of less formal approaches: (i.e. standards for ugly code?) - contradictions - ambiguities - vagueness - incompleteness - mixed levels of abstraction
requirements/good parts of formal approaches: - data invariant (always the same) - state (stored data which the system accesses and alters) - operation (action in/of the system) - also pre- conditions and post- conditions
clearly associate operations with states, and the relationship to one another
how are these related when it comes to the actual writing!?
the ten commandments of formal methods - interesting because it does specify what a good method would b, even only some of those methods are related to formal writing (1, 6).
BUT ITS NOT BEAUTIFUL (?). people adhere to what is beautiful, and they are slow to adopt that which is only good, but not beautiful by their standards.
p. 768 reverese engineering: what is the process of reading source code?
it has multiple levels: - system - program - module - pattern - statement
p. 834 - future topics in software engineering
switch in terminology when talking about this field: - data: no associativity (data processing was the early term) - information: associativity in one context (information technology) - knowledge: associativity within multiple contexts (knowledge industry? machine learning? data science?) - wisdom: creation of generalized principles based on existing knowledge from different sources (the future? inshallah) —
interestingly, the author is more in love with the process than with the object (he also refers to it as “generating code” rather than “writing code”)


A little bit about me
I started my journey with tech at the tender age of seventeen by taking a computer science class. I had only wanted to learn more about computers, but to my surprise the class was actually a programming class using Visual Basic! I fell in love with coding and found it came to me quite easily. I dove into programming head first by finishing classes at a local junior college and landing a job programming COBOL before my 20th birthday.
In a move I will never regret, I quit my job and moved to Japan to be with my husband who is in the Air Force just six months after starting my new job. Needless to say, my five year career plan did not work out! Seven years, nine countries, and three children later, I'm dying to get back into coding. I've been hard at work studying and practicing my new coding skills and feel ready to take on more projects!
Hand-Coded HTML
My focus is writing clean, well formatted, semantic HTML5 by hand to make sure that the content is easy to read, easy to collaborate, trouble-shoot and accessible.
Well-Organized CSS
I pride myself on writing CSS that is easy to read and build on. I focus on keeping my CSS lean and fast to load, and I make it a habit to stay up to date on current best practices.
Ease Converting PSD to HTML
You can trust me to take a designer’s PSD and quickly & accurately convert it into a webpage that is a pixel-perfect match.


Pure CSS
Just change the color to show checked status
You could change the background- or border-color
This checkbox is styled only with CSS! Also default for checkboxes.
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Pure CSS here too!
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Neither Font Awesome nor Bootstrap are included.
This checkbox is styled only with CSS!


A woman in her early (late) twenties searches for love in real life (online) while developing the world’s most authentic (fake) dating app. A comedic-drama examining the rules of engagement in the endless world of swiping, insta-sharing and #relationshipgoals. What is vulnerability in 2019 and are we even open to experiencing it?
Playwright: Miriam Cummings
Director: Samantha Megarry
Show info
St-Ambroise Montreal Fringe Festival
Venue 3
Montreal Improv B
3713 St-Laurent Blvd. #202
June 6 @ 6:00pm
June 8 @ 3:15pm
June 10 @ 7:30pm
June 12 @ 7:00pm
June 14 @ 6:00pm
June 15 @ 11:45pm
June 16 @ 4:30pm
Tickets: www.montrealfringe.ca


kalmanFilter.validateSizes
Preserve assimilation sizes set by covariance options
Syntax
Description
When using a dash.ensembleFilter data input method (such as observations, prior, estimates, or uncertainties), the method checks that all essential data inputs have compatible sizes. However, kalmanFilter objects can also set sizes via covariance options. This method ensures that covariance options have compatible sizes and is intended for use after the dash.ensembleFilter method.
When performing a delete operation, maintains assimilation sizes that are set by the covariance options.
kalmanFilter.validateSizes(outputs, ‘set’)
When performing a set operation, checks that new sizes are compatible with any sizes set by covariance options.
Customize error messages and IDs.
Input Arguments
outputs
cell vector
The output of a dash.ensembleFilter data input method (observations, prior, estimates, uncertainties)
type
‘delete’ | ‘set’
Indicates the type of operation performed by the dash.ensembleFilter data input method.
name
string scalar
An identifying name for the data input
header
string scalar
Header for thrown error IDs.
Output Arguments
outputs
cell vector
The kalmanFilter object output by a delete operation, but updated to include any sizes set by covariance options.


Football: Dortmund look to sustain 'feel-good' factor against Inter
BERLIN: Borussia Dortmund and their under-fire coach Lucien Favre hope to maintain the 'feel-good' factor from back-to-back wins as they chase Champions League revenge at home to Inter Milan on Tuesday (Nov 5).
A below-par performance saw Dortmund crash to a 2-0 defeat in Milan nearly a fortnight ago, sparking reports Jose Mourinho was waiting in the wings to replace Favre unless results improved, which the club subsequently denied.
The German media piled into Favre after forward Lautaro Martinez give Inter a first-half lead, then had a late penalty saved, before winger Antonio Candreva raced clear to seal Dortmund's defeat at the San Siro.
Favre's team were short of ideas against a water-tight defence and only Roman Burki's fine save from Martinez's penalty prevented a rout in Milan.
Dortmund have since improved but are under pressure to beat Inter at home in order to stay on course for the knock-out phase.
A goalless draw at Schalke last weekend was backed-up by dumping Bundesliga leaders Borussia Moenchengladbach out of the German Cup in midweek before trouncing Wolfsburg 3-0 on Saturday in the league.
"We have already beaten quite a few other teams here," said winger Julian Brandt in Monday's press conference, hoping Signal Iduna Park will be a factor against Inter.
With one eye on the Italians, Favre said it was "nice to see" his side has broken their habit of conceding late goals amid nervous defending.
JOY ELEMENT
However, "we need a win," insisted sports director Michael Zorc, who hoped beating Wolfsburg "will give us the necessary self-confidence", especially with a crunch Bundesliga tie at Bayern Munich looming on Saturday.
Both Inter and Dortmund come into Tuesday's tie on four points from three games, each with a win, a defeat and draw.
Dortmund must repeat the rock-solid defending in their goalless draw at home to Barcelona in September to contain Inter's attack and Saturday's win over Wolfsburg suggests confidence is high.
For once, there were no whistles of displeasure from home fans, no awkward post-match questions and no frustrated out-bursts from players, as in previous weeks due to Dortmund's habit of leaking late goals.
"The fun is back again", stated midfielder Julian Weigl.
Saturday's win was also a confidence booster for goal-scorers Thorgan Hazard, who bagged his first goal since joining from Gladbach, and Mario Goetze, who converted a late penalty after starting most games this season on the bench.
However, the news is not all good for Favre.
Chief playmaker and Germany star Marco Reus, who also missed the away defeat in Milan, is doubtful with a knock to the foot.
"We will have to see after training," said Favre on Monday.
Both clubs meet at Signal Iduna Park second in their respective leagues after Inter's burly Belgian striker Romelu Lukaku scored twice in Saturday's 2-1 win at Bologna to leave his side a point behind Juventus in Serie A.
Despite two wins inside a week, Dortmund must take three points to calm fears of a group stage exit.
"Now Favre has to win," demanded Germany's top-selling daily Bild, especially with group leaders Barcelona at home to bottom side Slavia Prague on Tuesday.


WITNESS LIST
Finance
April 4, 2011 10:00 AM
Registering, but not testifying:
For:
Baylor, Don SR. Policy Analyst / RAISE TX Board Member (Center for Public Policy
Priorities / RAISE TX), Aus, TX
Harris, Ashley (Texans Care for Children), Austin
Rosen, Laura Project Coordinator (Center for Public Policy Priorities), Austin, TX
Tyler, Kathy Nonprofit housing (Myself), Austin, TX
Widrow, Woody Executive Director (RAISE Texas), Austin, TX
FOR:
Miterko, John A Legislative Liaison (Texas Coalition of Veterans Organizations)
Registering, but not testifying:
For:
Barnett, Mike Govt. Aff. (Texas Association of Realtors), Austin, TX
Grona, Roy J. State Adjutant (Texas Veterans of Foreign Wars (VFW)), Austin, TX
Little, Morgan USN (Ret) (TX Coalition of Vets Orgs), Dripping Springs, TX
Reed, James President San Antonio Medical Foundation (Self), San Antonio, TX
On:
Cartwright, Deborah Director, Property Tax Assistance Division (Comptroller of Public
Accounts), Austin
FOR:
Sales, James B. Attorney (Access to Justice Commission)
AGAINST:
Longley, Bill (Texas Municipal League), Austin
ON:
Hecht, Nathan L. Justice, Supreme Court of Texas (Self), Austin, TX
Reynolds, Carl Director (Office of Court Administration), Austin, TX
Slayton, David Court Administrator, Lubbock County (Lubbock County), Lubbock, TX
Registering, but not testifying:
For:
Beardall, Bill Attorney (Equal Justice Center), Austin, TX
Cavazos, Perla Policy Analyst, TLSC (TLSC)
Chapman, Randall Attorney (Texas Legal Services Center), Aus, TX
Magnuson, A. Benet Attorney (Texas Access to Justice Commission), Austin
McAllister, Patricia Executive Director / Attorney (Texas Access to Justice Commission),
Austin, TX
Parsley, Lee (Texas Civil Justice League), Austin, TX
On:
Bethke, James Attorney (State Task Force on Indigent Defense), Austin, TX
1
WITNESS LIST
Finance
April 4, 2011 10:00 AM
Torres, Betty Balli Executive Director (Texas Access to Justice Foundation), Austin, TX
Registering, but not testifying:
For:
Aghamalian, Brandon Consultant (City of El Paso), Austin, TX
Patterson, T.J. (City of Fort Worth)
ON:
Moore, Patrick LBB Staff (LBB)
Pfiester, Nanette Program Planning & Research Specialist (Texas State Library &
Archives Commission), Austin, TX
Registering, but not testifying:
On:
Bazan, Kim External Relations (Health and Human Services Commission), Austin, TX
Dauster, Nick Director, Government Affair (Department of State Health Services), Austin,
TX
Jordan, Kristi Director, CCEA (Dept. of Aging & Disability Services)
Neal, Glenn Acting Deputy Commissioner (Dept of Assistive & Rehabilitative Svcs),
Austin
Rudd, Peggy Librarian (Texas State Library & Archives Commission), Austin
Strauser, Ann Director, Center for Consumer and External Affairs (Dept. of Family and
Protective Services)
FOR:
Allison, Jim General Counsel (County Judge & Commissioners Assn. of TX), Austin, TX
Kenworthy, Paul Oil Producer (Permian Basin Petroleum Association), Odessa, TX
Simpson, Terry County Judge (San Patricio Co. & County Judges & Comm. Asso.),
Sinton, TX
Stevens, Bill Assn Exec (Texas Alliance of Energy Producers), Austin
Registering, but not testifying:
For:
Acevedo, Adrian Mgr., Govt. Relations (Anadarko Petroleum), Austin, TX
Bradley, Charlie Schleicher County Judge (Schleicher County), Eldorado, TX
Carter, Teddy Director, Public Affairs (TX Independent Producers & Royalty Owners)
Igo, Shanna (Texas Municipal League), Austin
Lee, Donald Executive Director (Texas Conference of Urban Counties), Austin, TX
Patterson, T.J. (City of Fort Worth)
Robinson, Jim Chief Appraiser, Harris County (Texas Assn. of Appraisal Districts),
Houston
Valenta, John Property Tax Manager (TXOGA Property Tax Committee), Houston, TX
Williams, Charles Mineral Appraisals (Wardlaw Appraisal Group), San Antonio, TX
2
WITNESS LIST
Finance
April 4, 2011 10:00 AM
On:
Wooten, Tim Consultant (TX Comptroller), Austin, TX
FOR:
Sales, James B. Attorney (Access to Justice Commission)
ON:
Hecht, Nathan L. Justice, Supreme Court of Texas (Self), Austin, TX
Registering, but not testifying:
For:
Beardall, Bill Attorney (Equal Justice Center), Austin, TX
Cavazos, Perla Policy Analyst, TLSC (TLSC)
Chapman, Randall Attorney (Texas Legal Services Center), Aus, TX
Magnuson, A. Benet Attorney (Texas Access to Justice Commission), Austin
McAllister, Patricia Executive Director / Attorney (Texas Access to Justice Commission),
Austin, TX
Soifer, Jan Lawyer (Self), Austin
On:
Torres, Betty Balli Executive Director (Texas Access to Justice Foundation), Austin, TX
AGAINST:
Parsley, Lee (Texas Civil Justice League), Austin, TX
ON:
Burnham, Anna Presley Director, Unclaimed Property Division (Comptroller of Public
Accts), Austin
Registering, but not testifying:
Against:
Hull, Mike Attorney (Texans for Lawsuit Reform), Austin, TX
On:
Ginn, Lesli Assistant Attorney General (Office of the Attorney General), Austin, TX
AGAINST:
Allaway, Bill Texas Taxpayers and Research Assn (TTARA), Austin
Casey, Daniel T. Partner, Moak, Casey & Associates (Myself), Austin, TX
Koonce, John Chief Financial Officer (Barbers Hill Independent School District)
Long, Mike Retired Teacher / Farmer (Self), Silverton, TX
Neilson, Renn G. Tax Lawyer (also providing written testimony) (Texas Renewable
Energy Industries Association (TREIA)), Dallas, TX
O'Hanlon, Kevin Attorney at Law (Self), Austin, TX
Swinford, David Former Member of House - Consultant (Myself & Pattern Energy)
3
WITNESS LIST
Finance
April 4, 2011 10:00 AM
Registering, but not testifying:
For:
Lavine, Dick Fiscal Analyst (Center for Public Policy Priorities)
Quinzi, Patty Legislative Counsel (TX- AFT (American Federation of Teachers)), Austin,
TX
Sullivan, Michael Quinn President, Texans for Fiscal Responsibility (Texans for Fiscal
Responsibility), Austin, TX
Against:
Arnold, Joe W Chemical Manufacturer (BASF The Chemical Company), Austin, TX
Beneski, Amy Associate Executive Director (Texas Association of School
Administrators), Austin, TX
Berzina, David Executive Vice President Fort Worth Chamber of Commerce (Fort Worth
Chamber of Commerce)
Clark, Jeffrey Regional Vice President (Technology Association of America
(TechAmerica)), Austin, TX
Dawson, Sam Chairman of Greater San Antonio Chamber (Greater San Antonio Chamber
of Commerce), San Antonio, TX
Fore, Delbert (Enterprise Products Partners L.P.), Houston, TX
Giarratani, Dominic Asst. Director (Texas Association of School Boards), Austin, TX
Gresham, Kevin VP, Regulatory Affairs & Transmission (E. ON Climate & Renewables
North America LLC), Austin, TX
Hammond, Bill President (TX Association of Business), Austin, TX
Hazlewood, Steve Chemical Manufacturing (Dow Chemical), Austin, TX
Heflin, Joe Atty (Myself), Crosbyton, TX
Kamerlander, Michael Economic Development (Greater Austin Chamber of Commerce),
Austin
LeBas, James Tax Analyst (Assoc of Electric Co.s of Texas & TX Chemical Council),
Austin
Luna, Vilma Lobbyist (Next Era Energy), Austin
Payne, Brinton VP Gov Affs - FW Chamber (Metro 8 Chambers of Commerce), FW, TX
Sadler, Paul Attorney / Executive Director (The Wind Coalition), Austin, TX
Schwab, Carlton President (Texas Economic Development Council)
Shields, Brad Consultant (Texas Smokestack School Coalition), Austin, TX
Valdez, Jerry Lobbyist (Greater Houston Partnership), Austin
Providing written testimony:
Against:
Igo, Shanna (Texas Municipal League), Austin
Powers, Trey Lobbyist (Clean Coal Technology Foundation of Texas), Austin, TX
FOR:
Bercu, Steven Bookselling (BookPeople; self), Austin, TX
Reynolds, Patrick J. Attorney (J.C. Penney Corporation, Inc.), Plano, TX
4
WITNESS LIST
Finance
April 4, 2011 10:00 AM
AGAINST:
Brooks, Jeremy Internet business owner (Star Nine Ventures & Citizens Information
Assoc.), Austin, TX
Clark, Jeffrey Regional Vice President (Technology Association of America
(TechAmerica)), Austin
Hazard, Scott Brightside Media LLC (Myself and my business), Mineola, TX
Krewson, James CEO Finderscheapers LLC (Myself), Austin
Schaaf, Brook Affiliate Marketing Management (Schaaf - Partner Centric)
Schaffer, Steve Executive (Vertive, LLC (offers.com)), Austin, TX
ON:
Corrigan, Robin Sales Tax Policy, Team Lead (Texas Comptroller), Austin, TX
Registering, but not testifying:
For:
Erben, Randy Attorney (The Home Depot), Austin, TX
Gibson, Stephanie VP Governmental Affairs (Texas Retailers Association), Austin, TX
Igo, Shanna (Texas Municipal League), Austin
Quinzi, Patty Legislative Counsel (TX-AFT (American Federation of Teachers)), Austin,
TX
Vane, Mark Attorney (Walmart), Austin
Against:
Biles, Dylan Community Management (Vertive), Austin, TX
Campbell, Michael CPA (Vertive), Austin
Gonzalez, David Affiliate Marketer / Network (Internet Marketing Party)
Holman, Nathan SEO (Vertive LLC)
Hughes, Lisa Consultant (Yahoo !)
Janicek, Joshua D. Internet Marketing (Internet Marketers / affiliates)
Kieley, Ken Chief Financial Officer (Whale Shark Media, Inc.), Austin, TX
Kleiner, Laura Marketing (Vertive, LLC), Austin
Kuldanek, Amanda Paid Search Marketing (Vertive), Austin, TX
LaPlaca, Pamela M. Sr. Accountant (Vertive, LLC), Austin
Patton, Katlyn Marketing Analyst (Vertive LLC), Austin, TX
Qui, Duc Web Developer (Vertive, LLC), Pflugerville
Ray, Stacy Office Mgr. (Vertive, LLC), Pflugerville, TX
Saenz, Luis Government Relations (Amazon), Austin
Schaffer, Howard O. VP of Marketing (Vertive, LLC), Austin, TX
Spain, Angela P. Exec. Asst. Vertive LLC (Vertive), Austin, TX
Thielroldt, Cara Marketing (Vertive LLC)
Wehmeyer, Jim Staffing Manager (Vertive, LLC), Round Rock, TX
Wurzel, Geoff Association Director (TECHNET), Austin, TX
5
WITNESS LIST
Finance
April 4, 2011 10:00 AM
Providing written testimony:
For:
Roan, Vickie H. Retail store owner (Myself), Austin
FOR:
Hall, Terri Texas TURF, grassroots advocacy (also providing written testimony) (Texas
TURF), San Antonio, TX
Johnson, Tom Executive VP (AGC of Texas), Austin, TX
Registering, but not testifying:
For:
Adkisson, Tommy County Commissioner (Bexar), San Antonio, TX
Barnett, Mike Govt. Aff. (Texas Association of Realtors), Austin, TX
Contreras, Carlos Government Relations (City of San Antonio)
Dawson, Sam (Greater San Antonio Chamber of Commerce), San Antonio, TX
Guevara, Thomas Government Relations Manager (Bexar County Commissioners Court),
San Antonio, TX
Igo, Shanna (Texas Municipal League), Austin
Kemptner, Sara Govt. Relations (HoltCat), Austin, TX
Olsen, Lawrence (TX Good Roads Assn.)
Patterson, T.J. (City of Fort Worth)
Schieffer, Tracy Contractor (A.I. Helmcamp, Jr.)
Stagner, Steve (Texas Council of Engineering Companies), Austin, TX
Stubblefield, Dale Contractor (Austin Bridge & Road)
FOR:
Johnson, Tom Executive VP (AGC of Texas), Austin, TX
Reed, Jim President San Antonio Medical Foundation (Transportation Advocates of
Texas), San Antonio, TX
AGAINST:
Hall, Terri grassroots advocacy (Texas TURF), San Antonio, TX
Registering, but not testifying:
For:
Adkisson, Tommy County Commissioner (Bexar County), San Antonio, TX
Allison, Jim General Counsel (County Judges & Commissioners Assn. of TX), Austin, TX
Barnett, Mike Govt. Aff. (Texas Association of Realtors), Austin, TX
Boyes, Victor President (San Antonio Mobility Coalition, Inc.), San Antonio
Contreras, Carlos Government Relations (City of San Antonio)
Griebel, Tom Chair, Transportation Policy Group (Greater Austin Chamber of Commerce)
Guevara, Thomas Government Relations Manager (Bexar County Commissioners Court),
San Antonio, TX
Igo, Shanna (Texas Municipal League), Austin
6
WITNESS LIST
Finance
April 4, 2011 10:00 AM
Kearns, Dennis Attorney (BNSF Railway), Austin, TX
Kemptner, Sara Govt. Relations (HoltCat), Austin
Olsen, Lawrence (TX Good Roads Assn.)
Patterson, T.J. (City of Fort Worth)
Schieffer, Tracy Contractor (A.I. Helmcamp, Jr.)
Shields, Chris Consultant (Greater San Antonio Chamber of Commerce), Austin, TX
Simpson, Terry County Judge (San Patricio Co. & County Judges & Comm. Asso.),
Sinton, TX
Stagner, Steve (Texas Council of Engineering Companies), Austin, TX
Stubblefield, Dale Contractor (Austin Bridge & Road)
Against:
Barber, Kathy (NFIB), Austin, TX
Sullivan, Michael Quinn President, Texans for Fiscal Responsibility (Texans for Fiscal
Responsibility), Austin, TX
FOR:
Hall, Terri Texas TURF, grassroots advocacy (Texas TURF), San Antonio, TX
Johnson, Tom Executive VP (AGC of Texas), Austin, TX
Registering, but not testifying:
For:
Adkisson, Tommy County Commissioner (Bexar County), San Antonio, TX
Boyes, Victor President (San Antonio Mobility Coalition, Inc.), San Antonio, TX
Contreras, Carlos Government Relations (City of San Antonio)
Guevara, Thomas Government Relations Manager (Bexar County Commissioners Court),
San Antonio, TX
Igo, Shanna (Texas Municipal League), Austin
Kearns, Dennis (BNSF Railway), Austin, TX
Kemptner, Sara Govt. Relations (HoltCat), Austin, TX
Lee, Donald Executive Director (Texas Conference of Urban Counties), Austin, TX
Mendez, Mark Assistant County Administrator (Tarrant County Commissioners Court), Ft.
Worth, TX
Olsen, Lawrence (TX Good Roads Assn)
Pardue, Craig Assistant Administrator (Dallas County), Dallas, TX
Patterson, T.J. (City of Fort Worth)
Payne, Brinton VP Gov Affs (Fort Worth Chamber of Commerce), FW, TX
Reed, Jim President San Antonio Medical Foundation (Transportation Advocates of
Texas), San Antonio, TX
Schieffer, Tracy Contractor (A.I. Helmcamp, Jr.)
Shields, Chris Lobbyist (Greater San Antonio Chamber of Commerce), Austin
Stagner, Steve (Texas Council of Engineering Companies), Austin
Stubblefield, Dale Contractor (Austin Bridge & Road)
Sugg, Paul (Texas Association of Counties)
7


Consultation outcome
Ref: Ofqual/15/5735 PDF , 299KB , 2 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/15/5734 PDF , 505KB , 11 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
In response to comments, we have made changes to the drafting of the requirement to collect statements from schools. This ensures our approach is consistent with other GCSE, AS and A level subjects. We have also made minor changes to our guidance to clarify some of our expectations.
We have now published final versions of our:
Our new rules will require reformed GCSEs in citizenship studies to:
In line with the subject content, we are also requiring awarding organisations to ensure schools provide evidence statements confirming they have given their students opportunities to carry out citizenship action, and to take action if schools fail to do so.
Our guidance explains how awarding organisations should assess students’ experience of taking citizenship action in exams, and how they should interpret our assessment objectives.
This consultation ran from
to
Proposed regulations and guidance for the design, delivery and award of new citizenship studies GCSEs.
Ref: Ofqual/15/5623 PDF , 454KB , 31 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
This consultation is about the rules and guidance we need to put in place for new GCSEs in citizenship studies. These rules will apply to the exam boards that want to offer new citizenship studies GCSEs from September 2016.
This consultation takes forward decisions made following our earlier consultation Developing new GCSE, A level and AS qualifications for first teaching in 2016 - Part 2 , and is part of Ofqual’s work supporting the government’s changes to GCSEs, AS and A levels .
Published: 26 February 2015
Updated: 8 July 2015


Content type used in default HTML templates.
Content type used in default text templates.
Content type used in default XML templates.
Helper for HTML utility methods.
Formatter for HTML content.
Defines a magic helper for Play templates.
Helper for utilities Txt methods.
Formatter for text content.
Helper for XML utility methods.
Formatter for XML content.
Contains Template adapters for typical Play applications.


Redwave Music Launched in April 2020, is label focus on release quality tracks in Melodic House & Techno for Trance music. we have Sahara Recordings is our sub-label we have been Supported by many well known DJs. Based in Belfast, UK


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| Packages that use javassist.bytecode | |
|---|---|
| javassist | The Javassist Core API. |
| javassist.bytecode | Bytecode-level API. |
| javassist.bytecode.analysis | Bytecode Analysis API. |
| javassist.bytecode.annotation | Bytecode-level Annotations API. |
| javassist.expr | This package contains the classes for modifying a method body. |
| javassist.util.proxy | Dynamic proxy (similar to Enhancer of cglib). |
| Classes in javassist.bytecode used by javassist | |
|---|---|
ClassFile
ClassFile represents a Java .class file, which
consists of a constant pool, methods, fields, and attributes. |
|
FieldInfo
field_info structure. |
|
MethodInfo
method_info structure. |
| Classes in javassist.bytecode used by javassist.bytecode | |
|---|---|
AttributeInfo
attribute_info structure. |
|
| BadBytecode
Signals that a bad bytecode sequence has been found. |
|
ClassFile
ClassFile represents a Java .class file, which
consists of a constant pool, methods, fields, and attributes. |
|
| ClassFileWriter.AttributeWriter
This writes attributes. |
|
| ClassFileWriter.ConstPoolWriter
Constant Pool. |
|
| ClassFileWriter.FieldWriter
Field. |
|
| ClassFileWriter.MethodWriter
Method. |
|
CodeAttribute
Code_attribute . |
|
| CodeAttribute.RuntimeCopyException
An exception that may be thrown by copy()
in CodeAttribute . |
|
| CodeIterator
An iterator for editing a code attribute. |
|
| CodeIterator.Gap
An inserted gap. |
|
| ConstPool
Constant pool table. |
|
| DuplicateMemberException
An exception thrown when adding a duplicate member is requested. |
|
ExceptionsAttribute
Exceptions_attribute . |
|
ExceptionTable
exception_table[] of Code_attribute . |
|
FieldInfo
field_info structure. |
|
| LineNumberAttribute.Pc
Used as a return type of toNearPc() . |
|
LocalVariableAttribute
LocalVariableTable_attribute . |
|
MethodInfo
method_info structure. |
|
| Opcode
JVM Instruction Set. |
|
| SignatureAttribute.ClassSignature
Class signature. |
|
| SignatureAttribute.ClassType
Class types. |
|
| SignatureAttribute.MethodSignature
Method type signature. |
|
| SignatureAttribute.ObjectType
Class types, array types, and type variables. |
|
| SignatureAttribute.Type
Primitive types and object types. |
|
| SignatureAttribute.TypeArgument
Type argument. |
|
| SignatureAttribute.TypeParameter
Formal type parameters. |
|
| StackMap
Another stack_map attribute defined in CLDC 1.1 for J2ME. |
|
StackMapTable
stack_map attribute. |
|
| StackMapTable.RuntimeCopyException
An exception that may be thrown by copy()
in StackMapTable . |
|
| StackMapTable.Writer
A writer of stack map tables. |
| Classes in javassist.bytecode used by javassist.bytecode.analysis | |
|---|---|
| BadBytecode
Signals that a bad bytecode sequence has been found. |
|
| CodeIterator
An iterator for editing a code attribute. |
|
| ConstPool
Constant pool table. |
|
MethodInfo
method_info structure. |
|
| Opcode
JVM Instruction Set. |
| Classes in javassist.bytecode used by javassist.bytecode.annotation | |
|---|---|
| ConstPool
Constant pool table. |
| Classes in javassist.bytecode used by javassist.expr | |
|---|---|
MethodInfo
method_info structure. |
|
| Opcode
JVM Instruction Set. |
| Classes in javassist.bytecode used by javassist.util.proxy | |
|---|---|
ClassFile
ClassFile represents a Java .class file, which
consists of a constant pool, methods, fields, and attributes. |
|
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|
Team return(AWESOME): Project 2: Battleship 2.0
2.0
Battleship game for the terminal, inherited from Team Coding Coders
|
Public Member Functions | |
| HardAI (Admiral *player) | |
| Creates an Hard difficulty AI. More... | |
| ~HardAI () | |
| Empty destructor for EasyAI. More... | |
| string | fire () |
| Returns coordinate to fire in exec based on hard AI. More... | |
| Public Member Functions inherited from Admiral | |
| Admiral () | |
| A constructor that takes no parameters. | |
| Admiral (int numShips) | |
| A constructor that takes one parameter. More... | |
| ~Admiral () | |
| The destructor. More... | |
| Grid * | getBoard () |
| Gets the Admiral's game board. More... | |
| int | getNumShips () const |
| Gets the Admiral's total number of Ships. More... | |
| vector< Ship * > * | getFleet () |
| Gets the Admiral's fleet of Ships. More... | |
| int | getNumAfloat () const |
| Gets the number of the Admiral's Ships that are still afloat. More... | |
| void | setNumShips (const int numShips) |
| Sets the number of Ships that Admiral has. More... | |
| void | setNumAfloat (const int num) |
| Sets the number of Ships that are still afloat; initially, the same number as the total number of Ships. More... | |
| void | addShip (const int size, const string *coordsArr) |
| Constructs a Ship object with size and coordinates, adds it to the m_fleet vector, and assigns the Ship's coordinates to m_board. More... | |
| int | decNumAfloat () |
| Decrements the number of Ships still afloat; this function is called when a Ship sinks. More... | |
| string | incomingShot (const string coord) |
| Checks the given coordinate in its m_board, updates the game board and the relevant Ship if necessary. More... | |
| int | findShipbyCoord (const string coord) const |
| Finds the index of the Ship in the fleet that occupies the given coordinate. More... | |
| void | loadShip (int size, string *coordsArr, bool status, int hits) |
Private Attributes | |
| Admiral * | opponent |
| Grid * | opponentBoard |
Additional Inherited Members | |
| Protected Attributes inherited from Admiral | |
| Grid | m_board |
| int | m_numShips |
| vector< Ship * > | m_fleet |
| int | m_numAfloat |
| HardAI::HardAI | ( | Admiral * | player | ) |
Creates an Hard difficulty AI.
| players | is a pointer to the real player |
Definition at line 4 of file HardAI.cpp.
| HardAI::~HardAI | ( | ) |
Empty destructor for EasyAI.
Opponent board gets deleted by the player
| none |
Definition at line 38 of file HardAI.cpp.
|
virtual |
Returns coordinate to fire in exec based on hard AI.
| none |
Reimplemented from Admiral.
Definition at line 13 of file HardAI.cpp.


Class OverlayBand
Represents an overlay band.
Inheritance
System.Object
OverlayBand
Inherited Members
Namespace: FastReport
Assembly: FastReport.OpenSource.dll
Syntax
public class OverlayBand : BandBase, IFRSerializable, IParent
Constructors
OverlayBand()
Initializes a new instance of the OverlayBand class with default settings.
Declaration
public OverlayBand()
Properties
PrintOnBottom
This property is not relevant to this class.
Declaration
public bool PrintOnBottom { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
StartNewPage
This property is not relevant to this class.
Declaration
public bool StartNewPage { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |


|
lwIP
2.1.3
Lightweight IP stack
|
Data Fields | |
| struct netif * | netif |
| struct pbuf * | pbuf |
| u16_t | write_offset |
| u16_t | tx_id |
| ip_addr_t | dest_addr |
| u16_t | questions |
| u16_t | answers |
| u16_t | authoritative |
| u16_t | additional |
| u16_t | domain_offsets [10] |
| u8_t | cache_flush |
| u8_t | unicast_reply |
| u8_t | legacy_query |
Information about outgoing packet
| u16_t mdns_outpacket::additional |
Number of additional answers written
| u16_t mdns_outpacket::answers |
Number of normal answers written
| u16_t mdns_outpacket::authoritative |
Number of authoritative answers written
| u8_t mdns_outpacket::cache_flush |
If all answers in packet should set cache_flush bit
| ip_addr_t mdns_outpacket::dest_addr |
Destination IP/port if sent unicast
| u16_t mdns_outpacket::domain_offsets[10] |
Offsets for written domain names in packet. Used for compression
| u8_t mdns_outpacket::legacy_query |
If legacy query. (tx_id needed, and write question again in reply before answer)
| struct netif* mdns_outpacket::netif |
Netif to send the packet on
| struct pbuf* mdns_outpacket::pbuf |
Packet data
| u16_t mdns_outpacket::questions |
Number of questions written
| u16_t mdns_outpacket::tx_id |
Identifier. Used in legacy queries
| u8_t mdns_outpacket::unicast_reply |
If reply should be sent unicast
| u16_t mdns_outpacket::write_offset |
Current write offset in packet


I carefully prepared a solution containing one hundred milligrams of 5-MeO-DiPT dissolved in fifty milliliters of distilled water.
Experience #1 2/24/01
My first 5-MeO-DiPT experiment was with eleven milligrams. This was too high of a dosage, especially considering it was my first time working with the substance. Many of the problems I ran into were due to the fact that I took so much. As we all know, you'll never know how a material will affect you until you try it.
5-MeO-DiPT tastes extremely foul, and the orange juice I dissolved it in did little to cover up the bitter taste. The effects began within twenty minutes of ingestion, and by the first hour I was at a full plus-three. When the substance fully hit there was difficulty in moving, and I basically couldn't do anything but lay back and experience the ride. It took quite a bit of effort before I was able to get up and start moving around again. There really wasn't any perceivable peak with 5-MeO-DiPT. It came on, the most intense effects were felt for about five hours, and then it just slowly tapered off over the period of an hour or so. I also had a few balloons of nitrous oxide during the peak, though nothing particularly exciting or mind-blowing ever occurred. Usually the combination of nitrous oxide with a psychedelic always results in me being instantly catapulted to another dimension.
I experienced little in the way of visuals with 5-MeO-DiPT, other than some extremely vivid blue trails left by my red laser pointer left on the white tiled ceiling. These trails lasted for a good second or two, and they actually looked as if they were drawn with a magic marker! I also saw some colored objects on the ceiling which were reminiscent of the color effects produced by psilocybin. Objects in the room would waver and breathe slightly if I concentrated on them, but there was never anything that particularly grabbed my attention.
Perhaps the most fascinating effect I experienced were audio distortions reminiscent of what DiPT is said to produce. I first noticed these distortions around the third hour while listening to the Grateful Dead's 'Anthem of the Sun', an album I am very familiar with. The music would change its pitch, both up and down, without actually slowing down or speeding up. It just generally sounded 'wrong' and 'off'. I found this effect both interesting and disturbing.
5-MeO-DiPT lived up to its famous reputation as an enhancer of the erotic to a degree, but I can’t say this enhancement was really any different (quantitativly or qualitativly) compared to other psychedelics. To be honest, making love was really the only thing that made me forget about how lousy I felt. In addition to being physically pleasurable, there seemed to be an intense emotional connection between us as well.
Other than the audio distortions and the erotic aspect, I really was not very pleased with the experience. The body load was rather significant with slight nausea, restlessness, a sensation of extreme heaviness, and a general overall feeling of discomfort. Marijuana helped, but only so much. Thankfully, I never experienced any of the diarria commonly associated with this drug. The comedown was also extremely rough, and I went from feeling bad to feeling worse. There really were no useful, rewarding, interesting, or even fun mental effects other than the audio changes. Absolutely no insights or anything I would call
mind expanding occurred. I personally couldn't see this material inducing a classic, mystical, psychedelic trip though I have read one or two reports of it doing so in others.
Experience # 2 3/18/01
On a spur of the moment, I asked my best friend if he wanted to conduct some research so we each ingested six milligrams of 5-MeO-DiPT. This was his first time with the material. I took it on an empty stomach, while my friend had eaten some three hours earlier. Both of us noticed the effects develop within thirty minutes.
It quickly became apparent that this ride was going to be much easier than my first experience, and I began to feel very pleased with the changes than were occurring. The nausea was limited to a minor tummy rumble, which was easily quieted with a few toaks of some very potent cannabis.
All in all, the transition of this trip was free of misery for both of us. My friend and I were both very surprised at how much of a change in consciousness occurred with a mere six milligrams. Neither of us reached ever reached a full plus-three, but the effects were definitely more than just mild.
At about the one-hour point my friend and I were both at a near plus-two, and we took off on a walk to the old elementary school to rekindle some memories. We spent a good hour camped out on a stairwell smoking cannabis and philosophizing with our open and stimulated minds. Conversation flowed rather nicely, and our discussion was deep and constructive. Six milligrams of 5-MeO-DiPT produced moderate visual effects for both of us, which consisted of mellow trails on moving objects and color enhancement. My friend commented that it reminded him of a low-dose mushroom trip.
Eventually, we left the school and relocated to my friend's residence. Upon arriving, the lights were turned off and classical music was played; I forget the composer. No audio distortion was noticed, but I was not familiar with the piece. My friend did not notice any and felt it actually enhanced the music in an LSD or mushroom-like manner. I experienced a moderate show of color in the darkness.
Unfortunately by the third hour, the nasty side of 5-MeO-DiPT started to make itself known. A strong body load crept up on me and I became very uncomfortable. It was not as severe as the time with eleven milligrams, but I was still squirming with unpleasant nervous energy. It reminded me of what I read alpha-methyltryptamine (AMT), a substance I have not personally conducted research with, will often produce. We smoked more cannabis, but it really did not help much. I went home and ended up taking five milligrams of Valium in an effort to relax.
All in all, this experiment was a good one, save for the comedown. In retrospect, the experience was definitely psychedelic and the conversations it stimulated were very insightful. This is a good example to show that taking less material can end up producing a better experience.
Experience # 3 4/24/01
I've always enjoyed a nice concert, especially one from a 60's icon, with a bit of a psychedelic flowing through my neurons. When Bob Dylan came to play for me, I ingested eight milligrams of 5-MeO-DiPT. That substance was chosen because I had to be at my place of employment early next morning, so being up all night on a longer-acting material such as LSD or 2C-T-7 was not an option. I would have rather had psilocybin but none was available.
Because there was the threat of a security search, and the 5-MeO-DiPT solution was contained in an impossible-to-conceal-in-your-shoe glass vial, I wisely choose to take the material before entering the auditorium. Having been thoroughly frisked and forced to empty my pockets at too many concerts before, I was not about to take any chances of having to explain what was in the vile. Not to mention I had a small amount of pot in the sole of my shoe.
I really wished I hadn't taken it so early because there was no security check, and I began to feel the effects before my friend/designated driver and I found our seats. Unfortunately there was still over an hour to wait before show time. I became very uncomfortable in that auditorium. The bright lights from the ceiling were beaming down on me, the chairs were very small and cramped together, and people were rapidly filling up everywhere. The gentleman sitting on my left insisted on talking to me, and I found it very difficult to act normal and carry on a conversation.
The physical effects of the drug were felt strongly within a half-hour of drinking it, and my body was filled with a nervous, uncomfortable energy. I was also slightly nauseous, but the nearby ushers and the fact that it was a non-smoking indoor auditorium meant I couldn't smoke any cannabis. Though I tried my hardest not to, I found myself squirming in a slightly agitated and paranoid state. My friend informed me that I was staring off into a noticeable daze, which looked a little odd. People seemed to be staring at me, and I actually felt 'crazy.' This furthered my feelings of paranoia and general discomfort. Basically I was wigging out.
Much of this negative state-of-mind was due to the fact that the eight milligrams of 5-MeO-DiPT had taken me by surprise. I knew that a milligram or two could make a big difference with a potent substance, but this trip seemed almost as intense as my experience with eleven milligrams. The strange thing was I couldn't quite figure out why I was so far gone.
My state reminded me of Shulgin's experience with twenty milligrams of the related 4-HO-DiPT; 'I struggle to put a name to it…just smashed…no visual, no sensory.' Of course he enjoyed his experience and was in comfortable surroundings, I wasn't. I did my best to remain as calm as possible and practiced some deep breathing techniques, which helped a bit. The trip was at a plus-three, and my perception of time was severely dilated.
Finally, at about the one and one-half hour point, the lights finally dimmed and the show began. From this point on, my experience significantly improved. I was very surprised to find that the music sounded fantastic and intense, instead of distorted. There were also some pleasant visual changes that occurred. Objects shimmered and looked as though they were geometrically shaped.
About three hours into the experience the effects began to decline, so I excused myself to the restroom and promptly broke the law. There was only enough time to take two good hits of pot before someone came in, but I still managed to get high. I returned to my seat with a big smile on my face and really began to get into the music. The cannabis brought the experience back up a notch, though I never returned to a plus-three. Dylan put on an impressive show, and I soon forgot about the very difficult transition I had experienced earlier. By the time the show was over, five and one-half hours after I took the substance, I was largely down.
After the concert, my friend and I returned home. We smoked more cannabis, which helped me to relax and become rather tranquil. Strangely enough, there was little of the unpleasant post-peak stimulation that I had experienced on my previous exposures to 5-MeO-DiPT. All in all the night was very positive, but I still consider eight milligrams to be too much for me. Well…at least in public
If I try this material again, I'll see if seven milligrams will give me a trip where a certain level of intensity can be achieved without running into troublesome physical side effects. I am also curious about the combining 5-MeO-DiPT with DPT, as I hear this is particularly powerful trip reputed to be valuable for the serious psychonaut. Either way, I really don't ever see this psychedelic as being something to reach for first. 5-MeO-DiPT is defiantly not my favorite material.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


 With real-time health, condition, and equipment tracking
- Scalable stream overlay that dynamically resizes to any viewing resolution
- Live updates of health changes with fighting game-inspired health bar animations
- Hidden Konami code easter egg
Credits
- Jakie Allebach UI/UX Designer
- Justin Ryder Front End Engineer
- Jason Roberts Back End Engineer
- Aaron Loughary DevOps
- David Queener QA
- Zachary McKinnon Dev Manager


| This Game takes place in a time period similar to the early 1900's late 1800's. One man has built a great futuristic city in one night and he has declared war on the world, promising to take everyone to see god. You are Lieutenant Ayen Karparl. You must work with the spy organization in his city and find out what his plans are and steal his technology. Along the way you discover an age-old prophecy that is about to come to life once again. Will Ayen be caught up in this endless cycle of violence? Or will he try to change the world after discovering the truth? |
Genre: RPG
Made with RPG Maker 2000
Operating System Support: Windows
Mission Briefing (Online Game Manual)
Screenshots
Download
My Email:
fmatthew5876@gmail.com


TABLE OF INTERACTIONS WITH
MOCLOBEMIDE
See also: reversible MAOI-A, including linezolide and methylene blue
See also: medications at the origin of a serotonin syndrome
From the French ANSM drug interactions document of September 2016, p. 161
MOCLOBEMIDE RxNorm: 30121 ATC: N06AG02 |
CIMETIDINE RxNorm: 2541 ATC: A02BA01 |
With the cimetidine used in doses greater than or equal to 800 mg/day: increase of the concentrations of the moclobemide, due to decrease of its hepatic metabolism |
Precaution for use Clinical monitoring with possible adjustment of the dosage of moclobemide |


For the User Oriented Collaborative Design course at Olin College, I and five other students were assigned to create a final product that would improve the lives of the user group "community oriented farmers and gardeners." However, in order to create a product that they would find useful, we had to develope an understanding of our users and explore their routines and connections with their fellow gardeners, their gardens, and their community. After weeks of researching, interviewing, and interating with our users, our team developed GNOME, a garden rover that would assist in protection against intruders and collection of garden health data.
Originally, each team member had a different understanding of what the term "community gardener" meant. Thus we cast our net wide and conducted interviews with anyone who associated themselves with the term. What we quickly came to realize was that "community farmers" identified themselves as not having the same luxery of not having to live off their produce as "community gardeners" who thought of planting as an enjoyable hobby. We separated our users into "personas", the archetypal independent, rugged farmer, environmental and spiritual idealist, and technologically savvy free spirit.
Themes of independence and self reliance as well as small, local business models and environmental sustainability became apparent among the user values. A focus on manual labor and taking responsibility made us realize how much "community oriented farmers and gardeners" value hard work and innovative thinking. Uncovering these insights into our users lead allowed for us to design a solution that would not only help to solve common problems but empower them to maintain these idealogies.
Filtering through our product ideas, we found one that we felt enhanced the control users had over their land while being uniquely outfitted to small scale gardens and farms. GNOME is a small drone that follows prompts from users either by voice or by phone app. It is outfitted with cameras and a sensor that can detect highly variable soil conditions like pH and water content. It rolls around using technology pioneered by Cubli and the Institute for Dynamic Systems and Control. A series of rubber traction grips around the truncated icosahedron contribute to its rugged and outdoor character. On the opposite panels of the sensors and cameras are solar panels that appeal to the environmentally conscious.


Passionate and dedicated programmer with interests ranging from web designing to systems programming. Currently part of a Combined BS/MS program at the University at Albany.


The workflow consists of three core tools. The first tool used is npm which is typically bundled with NodeJS. Npm is used only to install jspm. Once that's done you'll be using jspm's CLI and Gulp almost exclusively. The second being jspm itself and finally Gulp.
This project requires NodeJS which can be downloaded here. Installation for your platform can be found on the installation wiki.
For Mac users you can alternatively install node using Homebrew as seen below.
$ brew install node
Install jspm globally to expose the cli utility from your terminal or console.
$ npm install jspm -g
There are a few ways you can obtain the project. The first is likely the easiest using the npm package manager.
$ npm install jspm-angular-seed
Alternatively you can clone the project using Git by running the following.
$ git clone https://github.com/origin1tech/jspm-angular-seed.git
Run a standard npm install to install the project's dependencies by changing your current working directory to the project's path then running the npm install command.
$ cd jspm-angular-seed
$ npm install
This project uses a live reload component which updates your browser automatically upon changes by listenting to sockets. To get the benefit of this you may wish to install the Chrome extenstion which makes this rather seamless (highly recommended). You can find the extenstion in the Chrome Extenstion Store.
To run the project issue the following command from your terminal or console. This will run the live server while watching for file changes. When a file is changed you will see "Watched" along with the relevant file name. This indicates the server saw that file change and consequently issued a notify command to update your browser.
$ gulp serve
This project was built solely for the benefit of others. That said if you find a mistake please create an issue on Github and if possible a PR that we can merge in to benefit the next guy. This is by no means the be all end all project or example. It's purpose is to get you up and running quickly without the struggles that others have overcome. Systemjs-builder and really Traceur which is the default underlying compiler can be finiky with paths. This project takes some of that initial pain away. I hope it helps!
Take a look at the Options page. There you'll find a couple of additional ideas that should get you started. In short you'll want to add some things to your workflow and likely need to dig deeper into ES6, modules and SystemJS.


|
The MOE Programming Language |
|
Ver: 8/29/2012
12:12:00 AM | 176.00 |
Mark Jayson
Fuentes Nathaniel Emberga Marlene Joyce Balajadia Richard Glen Domingo Dominique Vecina |
Contents
1.2 Variables and Arithmetic Functions
1.3 Looping and conditional structures
2.3 Control structures
and loops
2.4 Operators, symbols,
and special characters
MOE is an educational experimental programming language. It has been inspired by the tactful minimalism of the C programming language, assembly (as for the short, albeit abbreviated reserved words), Perl, and a bit of creativity. Primitive in its nature, the MOE programming language attains to be a complete programming language to be used in practical and elementary programming. As a typed language, it also follows strict but natural syntax with recommendation on the implementation of structure and readability.
MOE provides scope, control structures, function and iteration. Having a built in input/output, a natural process for looping and decision making, an unambiguous assignment operator (乪:乫 instead of 乪=乫), every statement is straightforward.
Being a C-like programming language, identifiers are case-sensitive
and blocks are indicated by curly brackets. The program logic starts in an
up-down manner, and programs are executed first in the run()
function (like C乫s main()), therefore, a run() function is always required.
MOE aims to be a kick-starter
for elementary level programmers where basic knowledge of programming is
required. As MOE is a minimal language, it is easier to learn by beginners
because of the limited and strict syntax of the code, but powerful enough to
implement algorithms into.
Technically, a MOE program is interpreted by a fellow C compiler in which the system is mostly based on. MOE has no external libraries as all operations are done in an interpreter.
As it was quoted in 乬The C Programming Language乭, the only way to learn a new programming language is by writing programs in it. The first program to write is the same for all languages
Print the words
hello, world
In MOE, the program to print 乪hello, world乫 is:
run() {
prnt 乪hello, world乫;
}
NOTE: String literals in MOE are enclosed in single quotes. Otherwise, they aren乫t.
The next program will demonstrate the basic functionalities of the MOE programming language by printing a table of equivalent Fahrenheit and centigrade/Celsius values:
1 -17
20 -6
40 4
60 15
80 26
100 37
120 48
140 60
160 71
180 82
200 93
220 104
240 115
260 126
280 137
300 148
The program in this example is longer than the one that can print 乬hello, world乭, but it is not complicated. It introduces several new ideas including comments, declarations, variables, arithmetic expressions, loops, and output.
// print Fahrenheit-Celsius table
// for fahr = 0, 20, 乧, 300
run() {
num fahr, celsius;
num lower, upper, step;
lower : 0;
upper : 300;
step : 20;
fahr = lower;
rpt is fahr =< upper ? {
celsius : 5 * (fahr-32) / 9;
prnt fahr + 乪 乫 + celsius;
fahr : fahr + step;
}
}
The two lines
// print Fahrenheit-Celsius table
// for fahr = 0, 20, 乧, 300
are a comment, which in this case explains briefly what the program does. Any characters after the symbols, //, are ignored by the compiler; they are often used to make the source code easier to read. A comment can appear anywhere a blank, a tab, or a newline exists.
In MOE, all variables are declared before they are used, usually at the beginning of a function before any executable statements. A declaration announces the properties of variables; it consists of a name and a list of variables such as
num fahr, celsius;
num lower, upper, step;
NOTE: The rules of variable declaration are consistent with C. That is, an identifier must not start with a number or a symbol (operators, control characters, special symbols), should not be a reserved word (refer to section 1.6), and is composed of members of the ASCII character set. That is, the following identifiers are valid:
ident, number, _something, print, CONSTANT
and the following are not valid:
num, str, STR, CNST, is, 9variable, /string
Please take into note that you still cannot use the uppercase version of a reserved word since MOE is case sensitive. There is also a 16 character limit as to naming an identifier.
Also, we have to put into mind that declarations are needed to be placed before the statements. This complies with the C standard of placing variable declarations before everything in the program to assure that they are declared before being used.
From where we left off, the type num means that the variables listed are integers, in which by contrast with flt, which means floating point, i.e., numbers that has a fractional part.
Computation in the temperature conversion program begins with the assignment statements
lower : 0;
upper : 300;
step : 20;
which set the variables to their initial values. It is important that variables are to be initialized (except in a string variable) before they are used. Individual statements are terminated by semicolons.
If we see the previous code example, each line of the table is computed the same way, so we use a loop that repeats once per output line; this is the purpose of the rpt is loop. This loop is similar to the while loop used in many C-like programming languages. Although simple in nature, the rpt is loop is actually a form of the is conditional construct. Let us see this example which prints the string 乪yes乫 if 3 is greater than 5:
run() {
str answer : 乪yes乫;
is 3 < 5 ?
prnt answer;
}
while the looping construct is formed as shown in this program that will print 乪yes乫 while the variable incr is still less than 5:
run() {
num incr : 0;
str answer : 乪yes乫;
rpt is incr < 5 ? {
prnt answer;
incr : incr + 1;
}
}
We can see the inherent similarities in structure and format of an if conditional structure and a while loop as it was in C-like programming languages. A C for loop is made by utilizing an external iterable value (a num). It is important to note that conditional structures are not enclosed in parentheses and is always ended by a question mark (?). As with C control structures, a rpt is loop and is conditional can be nested and followed by blocks (curly braces) for scope control as shown in this short (albeit awkward) program that checks if 5 is less than 10 and if that is the case, checks if the variable ten is equal to 10, and if that is true, prints ten asterisks (*) on a row.
run() {
num itr : 0;
num ten : 10;
is 5 < 10 ? {
is ten = 10 ? {
rpt is itr < 10 ? {
prnt 乪*乫;
itr : itr + 1;
}
}
}
}
We can also tell the program to do something else if the conditionals are not satisfied (as the else case in C). Let us modify the program to say something if it has finished printing the asterisks.
run() {
num itr : 0;
num ten : 10;
is 5 < 10 ? {
is ten = 10 ? {
rpt is itr < 10 ? {
prnt 乪*乫;
itr : itr + 1;
} no is itr = 10 ? {
prnt 乪\nDONE!乫;
}
}
}
}
We can see in this example that we could add a construct functioning like 乪else乫 from C as an otherwise-function if the condition was not met. This is a unique feature of MOE programming language as it gives the power of an iterator-conditional an alternate code logic if the condition was not satisfied. This makes it more natural to read as the actual application for real world problems can be simulated by the MOE programming language (as it was in this case).
As it was in C, the compiler doesn乫t care how the code would look like, but the MOE programming language recommends using strict code constructs, indentation, and hierarchy.
It is bad practice to place magic numbers in a program (i.e. variables declared with numbers with no specific meaning) like what we have done with the temperature conversion table with making 300 as the upper limit, 0 as the lower limit, and 20 as the step size of each entry in the table.
MOE helps the user alleviate this problem by providing the keyword cnst for constant value declaration. In this case:
run() {
num fahr, celsius;
cnst num LOWER : 0;
cnst num UPPER : 300;
cnst num STEP : 20;
// lower : 0;
// upper : 300;
// step : 20;
fahr = LOWER;
rpt is fahr =< UPPER ? {
celsius : 5 * (fahr-32) / 9;
prnt fahr + 乪 乫 + celsius;
fahr : fahr + STEP;
}
}
We can see that there are numerous differences from our previous code as in the declaration of the variables (LOWER, UPPER, and STEP). cnst requires the user to set as all caps the identifiers and initialize the constants; otherwise, a compiler error will be produced.
If it was tricky in C, pretty easy in Java and C#, and laidback in Perl, PHP, strings, input and output are effortless in the MOE programming language. As an elementary, minimalistic programming language, there is a need to have a native support for these equally important elements.
run() {
str answer;
inpt answer;
prnt answer;
}
Now, let us discuss what the code does, for dummies.
str answer;
This statement declares a string variable answer which doesn乫t specifically need any initialized values (Note: it is for the reason that declaring a string variable automatically initializes the variable. This only applies to lists 乪lst乫 and strings 乪str乫). Moving on
inpt answer;
It may be confusing at first time, but just think of it this way. inpt takes the same logic as scanf in C, with the console waiting for user input, and the pressing of the carriage return marks the end of the input stream and will try to store that stream into the variable. The very big difference is, the inpt statement will automatically determine the data type of the variable and will try to check for invalid inputs. We do not need to explain this for now, but keep in mind that in this case, if the variable declared was an integer or a float value, keying in a character would make the program alert you for a data type mismatch. And of course
prnt answer;
which will print the contents of the variable answer to the console.
A larger example of the I/O statements is shown below
// this program will demonstrate the division of two real numerals
run() {
flt divisor, dividend, quotient; // declaration of the
// operands
prnt 乪Input the dividend: 乫;
inpt dividend; // indented to clarify
// prompts
prnt 乪Input the divisor: 乫;
inpt divisor;
quotient : dividend / divisor; // divides the dividend to
// the divisor and stores it
// in the variable quotient
prnt quotient; // print to console
}
A typical MOE program is saved in a text file. The program structure is usually
run() {
<statement1>;
<statement2>;
乧
}
where the run() keyword denotes the start of a program and also for denoting a MOE source code, the braces which define scope (an opening brace for the start and the closing brace for program termination) where a statement can be any kind of statement (declaration, assignment, conditional, control, function call).
As stated, the compiler will determine MOE source code by the program structure. It will ignore any file type the text file was saved in.
There are six fundamental data types in MOE. Four basic data types; num, flt, str, bool, and the abstract data types (experimental) lst, and arry.
A num datatype can hold values of long int in C which typically range from -2147483648 to<PHONE_NUMBER>. Trying to store any other value other than mentioned will generate an error (either at runtime or compilation).
A flt datatype can hold values of double in C which typically and approximately range from 1.0 x 10-38 to 1.0 x 1038. Storing an integer in it is allowed but storing characters and strings will generate an error (either at runtime or compilation).
A str datatype can hold characters and strings just like in C#, Perl, and others. To store a string in a str variable in coding, it must be enclosed in single quotes, otherwise, it will generate a compiler error. In runtime, a str variable will accept any input in it as it will convert the keystream to a string literal, regardless of the intended type it was for use. That is, it is safe to key in a number in a str variable but it will be regarded of as a string.
A bool data type can hold either the values true or flse, otherwise, it will generate an error. In MOE, the result of a conditional statement is a bool.
NOTE: the bool data type cannot be used as a variable for input.
A lst data type is a list abstract data type. It is actually a doubly linked list. A lst holds a specific data type of which it is unbounded by the limits of a typical array. A lst could be treated as a stack or a queue at the same time. Operations on a list are the following:
· add – adds the value to the end of the list
· push – adds the value to the top/first element of the list
· pop – gets the value at the top/first element of the list
· eqe – adds the value at the end of the list (same with add)
· dqe – gets the value at the top/first element of the list (same with pop)
An arry data type is an array abstract data type. Arrays are fixed in size and is iterable. The lst data type is preferred in one dimensional lists though.
There is only one control structure in MOE.
is <condition> ?
<statement>;
OR
is <condition> ? {
<statement1>;
<statement2>;
乧
}
OR
is <condition> ? {
<statement1>;
<statement2>;
乧
} no {
<statement1>;
<statement2>;
乧
}
OR
is <condition> ? {
<statement1>;
<statement2>;
乧
} no is <condition> ? {
<statement1>;
<statement2>;
乧
}
In case of loops,
rpt is <condition> ?
<statement>;
OR
rpt is <condition> ? {
<statement1>;
<statement2>;
乧
}
OR
rpt is <condition> ? {
<statement1>;
<statement2>;
乧
} no {
<statement1>;
<statement2>;
乧
}
OR
rpt is <condition> ? {
<statement1>;
<statement2>;
乧
} no is <condition> ? {
<statement1>;
<statement2>;
乧
}
rpt is <condition> ? {
<statement1>;
<statement2>;
乧
} no is <condition> ? {
<statement1>;
<statement2>;
乧
}
NOTE: A loop structure in the no is structure is not allowed for simplification.
In this structure, all iterator variables must be declared outside the loop region.
MOE has a number of proposed reserved words
|
add |
cnst |
flt |
lst |
prnt |
str |
|
arry |
dqe |
inpt |
no |
push |
true |
|
as |
eqe |
is |
num |
rpt |
|
|
bool |
flse |
itr |
pop |
rtrn |
|
As imposed, MOE乫s reserved words cannot be used as identifiers in variable names and function names.
There are a number of symbols MOE regard as special and functions as an integral part of the language.
|
Operator |
Definition |
|
+ |
Addition |
|
- |
Subtraction |
|
* |
Multiplication |
|
/ |
Division |
|
% |
Modulus division |
|
^ |
Raise to (exponent) |
|
~ |
Truncated division |
|
Operator |
Definition |
|
< |
Less than |
|
> |
Greater than |
|
<= |
Less than OR equal to |
|
>= |
Greater than OR equal to |
|
= |
Equal to |
|
Operator |
Definition |
|
| |
OR |
|
& |
AND |
|
! |
NOT |
|
Operator |
Definition |
|
? |
Condition terminator |
|
: |
Assignment operator |
|
// |
Comment indicator |
|
; |
Statement terminator |
|
{ |
Block start |
|
} |
Block end |
|
乪 |
String literal |
|
Operator |
Definition |
|
\n |
New line (carriage return) |
|
\t |
Tab |
|
\乫 |
Single quote |
NOTE: Special characters in C also regard to MOE
<program> à moepl() { <declaration list> <statement list> }
<declaration list> à <declaration>; <declaration list> | <declaration>
<declaration> à num <variable list> | cnst num <variable list> |
flt <variable list> | cnst
flt
<variable list> |
str <variable list> | cnst
str
<variable list> |
bool <variable list> | cnst str <variable list>
<variable list> à ident, <variable
list> | ident, <variable
declared> | <variable declared> | ident
<variable declared> à ident : value
<statement list> à <statement>; <statement list> | <statement>
<statement> à ident : <expression> |
inpt ident | prnt <output list> |
is <condition> ? <statement> |
is <condition> ? <statement> no <statement> |
rpt is <condition> ? <statement> |
rpt is <condition> ? <statement> no <statement> |
{ <statement list> }
<output list> à <write member> + <output list> | <write member>
<write member> à <expression> | textlit
<condition> à <expression> | (<condition>) |
<condition> relateop <condition> | <condition> logicop <condition> |
!<condition>
<expression> à <expression> + <term> | <expression> - <term> | <term>
<term> à <term> * <factor> | <term> / <factor> |
<term> % <factor> | <term> ~ <factor> | term ^ <factor> | <factor>
<factor> à (<expression>) | ident |
value
ident à [_a-zA-Z][_a-zA-Z0-9]*
value à -?[0-9]+
| -?([0-9]+\.[0-9]+)
textlit à '(\\.|''|[^'\n])*


10 oz frozen spinach (285 g), thawed and squeezed out of any liquid
2 cloves of garlic, minced
1/2 onion, finely chopped
1 tbsp flour, I used brown rice flour
8 oz vegan cream cheese (225 g)
1/4 cup unsweetened plant milk of your choice (65 ml), I used soy milk
2 tbsp nutritional yeast
1/4 tsp salt
1/8 tsp ground black pepper
Heat some oil in a skillet (if you don’t consume oil, just use some water or vegetable stock instead), add the garlic and onion and cook over medium-high heat until golden brown, stirring occasionally.
Add the flour and cook for 1-2 minutes, stirring frequently.
Add the vegan cream cheese and cook until it’s completely melted.
Finally, add the rest of the ingredients (spinach, milk, nutritional yeast, salt and pepper), stir and cook for 2 more minutes.
Serve immediately in a skillet or a bowl with toasted bread slices (gluten-free if needed), crackers, tortilla chips, crudités or whatever you want.
Keep leftovers in a sealed container in the fridge for 4-5 days.
Recipe inspired by Laura in the Kitchen.
serving size: 1/4 of the recipe calories: 221 sugar: 1 g sodium: 428 mg fat: 17.8 g
saturated fat: 8.6 g carbohydrates: 9.5 g fiber: 3.1 g protein: 6.7 g


One difference between a queue and a stack is:
Queues use two ends of the structure; stacks use only one
- Queues require linked lists, but stacks do not
- Stacks require linked lists, but queues do not
- Stacks use two ends of the structure, queues use only one
Stacks and queues can both be implemented using a
linked structure.
The key difference is which end(s) the two stuctures
access for insert and remove operations.


Google Earth Enterprise Documentation Home | GEE Server
Settings page
Click Settings icon in the GEE Server Admin console to:
Perform GLC Assembly
- Enter a name and description for the new Glc.
- Paste Polygon KML for use with the new globe.
- Select either 2d layers to build a Glc using selected layers of existing Glm files, or 3d layers to build a Glc using Glb files at the layers.
- Click Assemble Glc.
Glc files are added to the default globes directory when they are created.
Perform Glc disassembly
- Select a Glc to disassemble.
- Enter a New output directory where the files will be placed.
- Click Disassemble Glc.
Launch Cutter
- Select a source map.
- Enter a name and description for the offline map.
- Choose to Overwrite existing globes with the same name.
- Choose a Region Selection method:
- Manual: Manually draw the boundaries of your region using the polygon button in the top right of the map.
- Paste KML: Define your region by pasting a KML file.
- Specify a World level; this represents the highest resolution at which the entire world will be available.
- Optionally use the zoom buttons in the lower right of the map to change your zoom level. This represents the highest resolution at which the data within the region of interest will be available.
- Click Cut map.
The cut progress will be displayed at the bottom of the screen. Upon successful completion, the globe is saved to the default globes directory.
View Apache logs


MF/LBP Network Setup Tool
The MF/LBP Network Setup Tool is a utility that allows you to configure initial network settings by following instructions on the screen. The Tool starts automatically when you install a printer driver from the User Software CD-ROM/DVD-ROM. If you want to start it alone manually, you can start it from the User Software CD-ROM/DVD-ROM or start it directly from a file downloaded from the Canon website.
|
|
The system environment required to use the MF/LBP Network Setup Tool is the same as the system environment required for the printer driver. System Requirements
|
Starting from the CD-ROM/DVD-ROM
1
Log on to the computer with an administrator account.
2
Insert the User Software CD-ROM/DVD-ROM into the drive on the computer.
3
Click [Start Software Programs].
If [AutoPlay] is displayed, click [Run MInst.exe].
4
Click [Start] of [MF/LBP Network Setup Tool].
Starting from a Downloaded File
The MF/LBP Network Setup Tool is included among the files that you download to install a printer driver. Start by downloading the printer driver file, which contains the printer driver and associated files, from the Canon website (
http://www.canon.com/).
1
Unzip the downloaded file.
2
Double-click "CNAN1STK.exe" in the [Network_Setting_Tool] folder.


Cherry-Rose Anderson
Democrat
July 2019 - present: Software Engineer, MRI Software 2000 - July 2019: Software Engineer and Small Business Owner, Charon Development
Bachelor of Arts in Physics from Swarthmore College, graduated 1995
80304
2020 Democratic Nominee for President Aaron Brockett for City Council (Boulder City Council) Andrew Romanov (Senate) Angelique Espinoza (State House) Bob Yates (Boulder City Council) Boulder County Democrats Boulder Progressives Colorado House Majority Project Colorado Senate Democrats Dave Gross (CU Regent) Dave Young (Treasurer) Deb Gardner (Boulder County Commissioner) Democratic National Committee Diane Mitsch Bush Eric Budd (Boulder City Council) Elise Jones (Boulder County Commissioner) Elizabeth Warren (President) Fenburg Leadership Fund Hillary Clinton (President) Jan Burton (Boulder City Council) Jared Polis (Governor) Jason Crow Jena Griswold (Secretary of State) Jill for City Council (Boulder City Council) Joe Biden Joe Neguse (CD-2 Representative) Joe Salazar Jonathan Singer Judy Amabile Junie for Boulder City Council John Hickenlooper (Senate) Jonathan Singer (County Commissioner) Lesley Smith (CU Regent) Lorena Garcia (Senate) Omar Montgomery (Aurora Mayor) Penfield Tate Phil Weiser Progressive Colorado ProgressNow Colorado Raffi Mercuri (Boulder County Clerk & Recorder) Stephany Rose Spaulding (Congressional Run) Stephany Rose Spaulding (Senate) Swing Left District Funds Tammy Story
March 2017 - present: NAACP Boulder County - founding member, treasurer, civic engagement chair 2018 - present: NAACP CO-MT-WY State Area Conference - civic engagement chair
I became involved with the nascent NAACP branch forming in Boulder County in early 2017. As a member of the Executive Committee of the NAACP Boulder County, I have attended 3 national conventions, 2 regional conventions, served as treasurer, and served as civic engagement chair. Within my role in the NAACP Boulder County, I have served on the organizing committees of 2 major annual fund-raising events: bringing Rajdulari (www.rajdulari.com/) to the Canyon Theater in 2018 and bringing the McIntosh County Shouters (http://mcintoshcountyshouters.com) for a free community concert at Macky Auditorium in June 2019. Unfortunately, our 2020 fundraiser (which would have brought the Fisk Jubilee Singers (fiskjubileesingers.org) to Macky for a free community concert in October 2020 has been delayed by the Covid pandemic. In addition, I organized a showing of Ava DuVernay's powerful documentary series 'When They See Us', which explores racial inequities in the criminal justice system by following the experience of the boys once known as the Central Park Five (wrongly accused of the brutal rape and assault of a jogger in Central Park) - now known as the Exonerated Five. With the support of the Museum of Boulder, I organized weekly showings and talk backs that involved the Korey Wise Innocence Project at CU, the Boulder County DA, the Colorado Criminal Justice Reform Coalition, and the exonoree Shareef Cousin from New Orleans. This powerful series of conversations brought together more than 50 people in Boulder for a month of weekly discussions that highlighted the different experiences that white and Black people face within the criminal justice system. In addition, as the NAACP Colorado-Montana-Wyoming State Area Conference civic engagement chair, I organized over 4 dozen volunteers in a Get Out the Vote effort that sent 1200 postcards and made 2400 phone calls to Black and Native American voters across the state in the leadup to the 2020 general election. One of the most valuable lessons that I have internalized from this work is the importance of trusting the intention and work of others, and staying focused on the areas where I can have a direct impact.
The re-districting process is a foundational element of our representative democracy, If the districts are drawn poorly, then it is not possible to create an elected government that fairly represents its constituents. We can see this in the gerrymandered districts that plague many states in our country. The passage of Amendments Y & Z were an ambitious step towards making sure that, at every level, the districts in Colorado fairly represent the people of Colorado. I would like to do everything within my power to ensure fair representation of everyone who lives in our state because I believe that creates a better government for all.
I am a woman with strong opinions, tempered by a desire to build consensus. I was appointed foreman of the one jury trial I have had the privilege to serve on - and I believe that decision was made by my peers because I was able to break down a difficult discussion into more manageable pieces, listen to questions and concerns, and then re-build the pieces into a consensus decision.
As a physics major in college and a computer programmer in my professional life, I have a great deal of practice breaking down problems into their component pieces and solving them one step at a time. This is a skill that has been honed by raising (in partnership with my husband) two children: both teenagers now (17 and 14) who get along with their parents - even through these long months of quarantine.
Female


What is Deep Learning?
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.
In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.
How does deep learning attain such impressive results?
In a word, accuracy. Deep learning achieves recognition accuracy at higher levels than ever before. This helps consumer electronics meet user expectations, and it is crucial for safety-critical applications like driverless cars. Recent advances in deep learning have improved to the point where deep learning outperforms humans in some tasks like classifying objects in images.
While deep learning was first theorized in the 1980s, there are two main reasons it has only recently become useful:
- Deep learning requires large amounts of labeled data. For example, driverless car development requires millions of images and thousands of hours of video.
- Deep learning requires substantial computing power. High-performance GPUs have a parallel architecture that is efficient for deep learning. When combined with clusters or cloud computing, this enables development teams to reduce training time for a deep learning network from weeks to hours or less.
Examples of Deep Learning at Work
Deep learning applications are used in industries from automated driving to medical devices.
Automated Driving: Automotive researchers are using deep learning to automatically detect objects such as stop signs and traffic lights. In addition, deep learning is used to detect pedestrians, which helps decrease accidents.
Aerospace and Defense: Deep learning is used to identify objects from satellites that locate areas of interest, and identify safe or unsafe zones for troops.
Medical Research: Cancer researchers are using deep learning to automatically detect cancer cells. Teams at UCLA built an advanced microscope that yields a high-dimensional data set used to train a deep learning application to accurately identify cancer cells.
Industrial Automation: Deep learning is helping to improve worker safety around heavy machinery by automatically detecting when people or objects are within an unsafe distance of machines.
Electronics: Deep learning is being used in automated hearing and speech translation. For example, home assistance devices that respond to your voice and know your preferences are powered by deep learning applications.
How Deep Learning Works
Most deep learning methods use neural network architectures, which is why deep learning models are often referred to as deep neural networks.
The term “deep” usually refers to the number of hidden layers in the neural network. Traditional neural networks only contain 2-3 hidden layers, while deep networks can have as many as 150.
Deep learning models are trained by using large sets of labeled data and neural network architectures that learn features directly from the data without the need for manual feature extraction.
Figure 1: Neural networks, which are organized in layers consisting of a set of interconnected nodes. Networks can have tens or hundreds of hidden layers.
One of the most popular types of deep neural networks is known as convolutional neural networks (CNN or ConvNet). A CNN convolves learned features with input data, and uses 2D convolutional layers, making this architecture well suited to processing 2D data, such as images.
CNNs eliminate the need for manual feature extraction, so you do not need to identify features used to classify images. The CNN works by extracting features directly from images. The relevant features are not pretrained; they are learned while the network trains on a collection of images. This automated feature extraction makes deep learning models highly accurate for computer vision tasks such as object classification.
Figure 2: Example of a network with many convolutional layers. Filters are applied to each training image at different resolutions, and the output of each convolved image serves as the input to the next layer.
CNNs learn to detect different features of an image using tens or hundreds of hidden layers. Every hidden layer increases the complexity of the learned image features. For example, the first hidden layer could learn how to detect edges, and the last learns how to detect more complex shapes specifically catered to the shape of the object we are trying to recognize.
##What’s the Difference Between Machine Learning and Deep Learning? Deep learning is a specialized form of machine learning. A machine learning workflow starts with relevant features being manually extracted from images. The features are then used to create a model that categorizes the objects in the image. With a deep learning workflow, relevant features are automatically extracted from images. In addition, deep learning performs “end-to-end learning” – where a network is given raw data and a task to perform, such as classification, and it learns how to do this automatically.
Another key difference is deep learning algorithms scale with data, whereas shallow learning converges. Shallow learning refers to machine learning methods that plateau at a certain level of performance when you add more examples and training data to the network.
A key advantage of deep learning networks is that they often continue to improve as the size of your data increases.
Figure 3. Comparing a machine learning approach to categorizing vehicles (left) with deep learning (right).
In machine learning, you manually choose features and a classifier to sort images. With deep learning, feature extraction and modeling steps are automatic.
Source: https://in.mathworks.com/discovery/deep-learning.html


Scroll 🡇 to see details for each project
An open world adventure dungeon crawler (Github).
Persistent procedurally generated world simulated at two scales.
Smooth turn-based action. Physics-based combat. Economy and population simulation.
(scroll down)
combat example video
Designed and run multiple gamified programming tournaments for Hunter College students.
Example tournament projects:
(scroll down)
An example solution for the Dwarf Outpost tournament (C++)
(If the recording does not show up, reload the page or watch
here)
Dwarves are provided with an API to check the current time and their surroundings, walk, chop wood, build fences, and pick apples and pumpkins.
Implemented the WFC algorithm for arbitrary neighborhoods and localized collapsing
(scroll down)
WFC map generation (the goal is to evolve/modify WFC rules as the game goes)
BSFL: A coffee-break soccer club manager (play at itch.io)
(scroll down)
relatively simple game mechanics and tactical flexibility
faces of the players are procedurally generated
Curse of War: A Linux strategy game with ncurses and SDL interface (Github)
Included in Ubuntu, Debian, Arch Linux, and many other Linux distributions.
Reviews:
Top 5 ASCII Games on Linux
The 20 Best ASCII Games on Linux System in 2020
Best ASCII Games for Linux That are Insanely Good
(scroll down)
can play against computer opponents or via network
Educational programming game Magic Harbors (in development)
(scroll down)
computer-aided design of game boards, maximizing their "traversability"
A soccer game I designed back in high school with my brother
(scroll down)
(scroll down)
A puzzle generator for Sokoban and similar games
Cooperative teams AI
Procedurally generated emblems/logos (JS, Canvas)
7DRL Zombie apocalypse with 3D terrain
A fluid-like NPC movement model intended to simulate
moving crowds and pushing (think of a horde of zombies)
Programming robots with a concatenative language inspired by Joy and SKI combinators
Procedurally generated sci-fi logos/spaceships (JS, SVG)


License
Copyright (C) 2012-2018 Pierre Jean Fichet <pierrejean dot fichet at posteo dot net>
Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
 IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.


Change History
Version 7 (07-June)
Mobs are now chosen based on your level
- Changed it so you fight mobs of your level, not random mobs from the whole list
- Added 4 new mobs; Skeleton Captain, Malicious Mold, Dark Bear and Dervish Thug
Version 6 (28-May)
You can now LEVEL UP!
- Added Level 2 to 5
- Added new music for level 2+
- Added 4 new Mobs
- Added a highlight to the maths question
- Code: For later use Added Platinum, Mob Levels, Potions, Equipment, Weapons
Version 5 (21-May)
You can now fight Mobs!
-- Hit [Reset the Game] and re-load the page before playing.
- Got the Mob HP bar working
- Some more internal stuff to do with JSON files...
Version 4 (20-May)
This change means getting answers wrong now matters...
- Added the Hero's EXPerience and Hit Point bars
- Changed the Hero's EXP bar to INCREASE if sum is correct and DECREASE if it's wrong
- Changed the Hero's HP bar to DECREASE if the sum answer is wrong
-
- If Hero HP == 0, they die and the game is RESET (zero coins and EXP)
- Fixed the Hero's COINS to DECREASE if sum is answered wrong (EXp calculated off coins ;D )
- A bunch of stuff in the background :)
Mark's Game To-Do List
- On level up set a big math question
- Add a text area with Game Events log (temp text file / console)
-
- Questions right and wrong
- Hitpoints, Experience lost and gained
- Mobs killed
- Items found
- Add a Player Sheet with inventory and fun facts
-
- Back Pack
- Item Slots
- Number of Mobs killed
- Number of sums right and wrong
- Add world inventory items
-
- A range of potions
- A set of weapons
- Some items of armour
- Add item drops when the Mob dies
- Add a way to equip the Hero (spending coins and so spending EXP points)
-
- If hero is equipped a wrong answer does less damage
- Internationalisation (L10N)
-
- Translate English text into Spanish
- Provide a way for the player to switch between languages
- Compatibility
-
- Get the game to render correctly on the latest versions of Chrome, Firefox and IE
- Modify the game to work on Desktop and Mobile platforms


Graphics View Examples
Qt provides powerful graphics engine that supports easy visualization of items, with support for rotation and zooming. Additionally it provides an event propagation architecture for interaction.
These examples demonstrate the fundamental aspects of canvas programming with Qt.
Visualizes a huge graphic view scene with 40000 chip items | |
Combines advanced OpenGL rendering with the Graphics View framework | |
Demonstrates how to animate items on a graphics view | |
Demonstrate how to use the Graphics View framework | |
Demonstrates how to drag and drop items in a graphics view | |
Demonstrates how to interact with graphical items in a scene | |
Demonstrates how to create animated user interface |
These examples show the use of graphics widgets and layouts.
Demonstrates anchor layout in a graphics view scene | |
Demonstrates how to create basic graphics layout | |
Demonstrates how to embed dialogs into a graphics view | |
Demonstrates flow layout on a graphics view scene. | |
Demonstrates anchor layout on a graphics view scene | |
Demonstrates anchor layout on a graphics view scene |
Some examples demonstrate the use of graphics effects with canvas items.
Demonstrates how to apply graphical effects on items in the view | |
Demonstrates how to apply effects on items in the view | |
Demonstrates how to apply effects on items in the view |


Stanford MOOC
11 weeks to learn all the basics in ML (supervised/unsupervised learning, advices, ...).
Rank among the 5th best MOOC available on the internet.
.
11 weeks to learn all the basics in ML (supervised/unsupervised learning, advices, ...).
Rank among the 5th best MOOC available on the internet.
.
6 differents small projects given by the university to discover :
Multidimensional statistics, PCA, Clustering, Methods of regresssion, ...
Build a system of indexing and information retrieval on an archive composed of articles.
A search engine allow users to ask the archive questions
about various criteria (contents, title, topic, etc).
One-page website in responsive design which allows students to find information about all students in the university.


Welcome to Dodge!
A Game By Conrad
Click one button to play ..
One Player
Two Player
Three Player
Game Over
You have reached
points!
New High Score
won the game
Click to play again ..
Back
0
points
High Score:
0
Player 1
0
Player 2
0
Player 3
0


Simply decide whether you want to use the LMR positioners or the HR positioners.
Target file should follow the format indicated below. The simulator will reject any file that does not look like this, for safety reason.
By default, the simulator will automatically use the mean of all RA and all DEC in the input catalog as the center of the field of view. If you wish to set the center manually, you can do so by providing the RA and DEC coordinates of the center, in degrees (or Galactic longitude/latitude if you provided a list of targets in this WCS).
The simulator has three modes: "one allocation", "fixed number of iterations", and "goal: allocation fraction".
The computing time scales with the number of targets and number of iteration necessary. Please be patient. Your results will appear below.


--- title: JSON Data To Property File Format Converter | Developer Tools layout: post ---
{% include common-meta %}This is a free online tool to convert a JSON formatted data to property file format. This can be useful for automation testing of REST based services. You can convert any JSON data to 'KEY = VALUE' format using this tool.
JSON (JavaScript Object Notation) is a popular format used to transfer data between applications. It is very common object format in web applications. JavaScript applications do not require any speciall handling for this type of data since its is already an object of javascript format.
Property files are common way to provide KEY, VALUE pair configuration for programs.
Many programming langugages use configuration files that have simple format that stores each KEY = VALUE pair in new line.
Property files are easy to read and can contain entries in KEY = VALUE format that makes validations and configuration easy.
The online converter is a good help for automation testing of REST based services. This tool can be handy since you just need to paste the JSON response in the input field and hit convert button.
The same task can be done manually, however it can be cumbersome. This tool can save you some time and follow a consistent pattern to create property key names.
You just need to copy and paste the JSON data into this tool and get the property format data (KEY = VALUE).
Property files are easy to read in Java, you can easily convert data in a property file to a java.util.Map format and access it easily.
Many times, we do not want to parse the full JSON since only small part of the data is used. In that case this tool can help you hand pick the fields you are interseted in.


My birthday is December 27, 1981. My Tropical zodiac is Capricorn, my favorite color is blue and I drive 2009 Cadillac BLS. I enjoy writing in Python, HTML, and node.js.
I enjoy writing front-end code with these technologies:
You can drop me a line at<EMAIL_ADDRESS>or you can visit my website


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