My SWI-Prolog page
This page is maintained by Hakan Kjellerstrand<EMAIL_ADDRESS>SWI-Prolog is a popular Prolog system which has support for CLPFD and many other features.
Some useful pages for SWI-Prolog:
My SWI-Prolog programs/models
Here are some of my SWI-Prolog programs/constraint models. Note: Many of these programs are CLP(FD) programs ported from Picat (see My Picat page), and perhaps there are some traces of Picat here and there.
These programs are also available at my GitHub repo.
Modules
Here are some modules used by the other models.
Module hakank_util.pl
Please note that many programs/models use hakank_utils.pl, so this module should be downloaded as well. It should be loaded as :- use_module(hakank_utils).
.
Here's the content of that module. It is mostly (global) constraints that I miss or wrapper/convenience predicates, especially for clp(fd).
- time2/2
- new_matrix/3
- new_matrix/4
- domain_matrix/2
- print_matrix/1
- matrix_dimensions/3
- latin_square/1
- list_domains/2
- matrix_element/4
- matrix_element2/4
- matrix_element5/4
- matrix_nth1/4 (a better name for matrix_element5/3)
- element2/3
- alldifferent_except_0/1
- alldifferent_except_n/2
- increasing/1
- increasing_strict/1
- decreasing/1
- decreasing_strict/1
- count_occurrences/3
- extract_from_indices/3 (should perhaps be called matrix_elements/3 instead?)
- extract_from_indices2d/3 (should perhaps be called matrix_elements2d/3 instead?)
- scalar_product2/3
- min_list_clp/2
- max_list_clp/2
- slice/4
- to_num/2
- to_num/3
- zip2/3
- zip3/4
- inverse/1
- inverse/2
- between/4
- between_down/3
- numlist_step/3
- same/1
- lex_lt/2
- numlist_cross2/3
- numlist_cross3/4
- diagonal1_slice/2
- diagonal2_slice/2
- prod/2
- regular2/7,
- rotate/2,
- variable_selection/1,
- value_selection/1,
- strategy_selection/1,
- labelings/3,
- atleast/3,
- atmost/3,
- list_domain_disjunction/2,
- make_disj_domain/2,
- create_task/5,
- my_cumulative/4,
- distribute/3,
- sliding_sum/4,
- sliding_sum/3,
- circuit_path/2,
- nvalue/2,
- nvalues/3,
- exactly/3
- alldifferent_modulo/2
- all_differ_from_at_least_k_pos/2
- alldifferent_cst/2
- all_equal/1
- all_min_dist/2
- alldiffer_on_intersection/2
- among/3
- among_seq/5
- among_range/4
- print_attrs_list/1
Module bplan.pl
The bplan module is a simple planner module. It's inspired by some planning modules from the great Prolog introduction book "Thinking as computation" by Hector J. Levesque.
The following predicates are exported
It's used by the following programs:
Models/programs
As mentioned above, almost all the models/program use the module hakank_utils.pl.
- 1d_rubiks_cube.pl: 1D Rubik's Cube planning problem. Note: this program use the bplan module which must be downloaded as well.
- 3_jugs.pl: 3-jugs problem as a shortest path problem (Taha)
- 3_jugs_regular.pl: 3-jugs problem using
regular
constraint
- a_puzzle.pl: "A Puzzle" (from the "God plays dice" blog)
- a_round_of_golf.pl: A Round of Golf puzzle (Dell Logic Problems)
- abbots_puzzle.pl: Abbot's puzzle (Dudeney)
- added_corner.pl: Added Corners puzzle
- ackermann.pl: Ackermann function
- alldiffer_on_intersection.pl: Global constraint
alldiffer_on_intersection
- allpartitions.pl: All partitions of a number
- all_equal.pl: Global constraint
all_equal
- all_interval.pl: All interval problem
- all_differ_from_at_least_k_pos.pl: Global constraint
all_differ_from_at_leats_k_pos
- all_min_dist.pl: Global constraint
all_min_dist
- alldifferent_cst.pl: Decomposition of the global constraint
alldifferent_cst
- alldifferent_except_0.pl: Decomposition of the global constraint
alldifferent_except_0
- alldifferent_modulo.pl: Decomposition of the global constraint
alldifferent_modulo
- alphametic.pl: Fairly general Alphametic solver
- alphametic3.pl: Fairly general Alphametic solver (adds * and -, port of an ECLiPSe model)
- among.pl: Decomposition of the global constraint
among
- among_seq.pl: Decomposition of the global constraint
among_seq
- arch_friends.pl: Arch Friends puzzle (Dell Logic Puzzles)
- assigment.pl: Some assignment problems.
- averbach_1_2.pl: Seating problem (Averbach and Chein)
- averbach_1_3.pl: Logic puzzle (Averbach and Chein)
- babysitting.pl: Babysitting problem (Dell Logic Puzzles)
- bales_of_hay.pl: Bales of Hay proglem (From "The Math Less Traveled")
- bin_packing.pl: Bin packing problems
- bin_packing2.pl: Global constraint
bin_packing
- breaking_news.pl: Breaking News puzzle (Dell Logic Puzzles)
- broken_weights.pl: Broken weights problem (optimized/non-optimized/recursive)
- building_a_house.pl: Building a house (OPL)
- bus_schedule.pl: Bus schedule (Taha: scheduling of buses during a day)
- calculs_d_enfer.pl: Calculs d'enfer puzzle
- changes.pl: Coin changes (minimizing number of coins)
- circling_squares.pl: Circling squares problem (Dudeney)
- circuit.pl: Decomposition of global constraint
circuit
(with some benchmarks/comparison with the built-in version)
- clique.pl: Decomposition of global constraint
clique
- clock_triplets.pl: Clock triplets (Martin Gardner)
- coins_grid.pl: Coins grid problem
- coins3.pl: Two related coins problems.
- combinatorial_auction.pl: Combinatorial Auction
- contracting_costs.pl: Contracting costs
- costas_array.pl: Costas array
- countdown.pl: Simple implementation of Countdown
- covering_opl.pl: Set covering problem (OPL: select workers to build a house)
- crossbar.pl: Crossbar problem (Prolog benchmark)
- crossword2.pl: (Small) crossword problem
- crypta.pl: Cryptarithmetic puzzle (Prolog benchmark problem)
- crypto.pl: Another cryptarithmetic puzzle (Prolog benchmark problem)
- cur_num.pl: Curious Numbers (Dudeney)
- curious_set_of_integers.pl: Curious set of integers (Martin Gardner)
- de_bruijn.pl: de Bruijn sequences (both "classic" and "arbitrary")
- devils_word.pl: Devil's word (sum ASCII value to a certain number, e.g. 666)
- diet.pl: Diet problem
- dinner.pl: A dinner problem
- discrete_tomography.pl: Discrete Tomography
- distribute.pl: Global constraint
distribute/3
- divisible_by_9_through_1.pl: Divisible by 9 through 1 puzzle
- donald_gerald.pl: DONALD + GERALD = ROBERT (Classic alphametic problem)
- dudeney_numbers.pl: Dudebey Numbers (Dudeney)
- eq10.pl: Eq10 problem (Standard Prolog benchmark)
- eq20.pl: Eq20 problem (Standard Prolog benchmark)
- Project Euler problems:
- euler_utils.pl: Utils for Euler problems which include the following:
- proc/1
- run_problems/1
- fib/2
- fib2/2
- even/1
- odd/1
- primes/2
- delete_all/3
- is_prime/1
- is_prime_clp/1
- is_prime2/1
- prime_cp/1
- is_prime_divisors/1
- prime_tabled/1
- prime_tabled_clp/1
- next_prime/2
- next_prime_clp/2
- nth_prime/2
- nth_prime_clp/2
- prime_decomp/2
- divisor/2
- divisors/2
- all_divisors/2
- proper_divisors/2
- num_divisors/2
- sum_proper_divisors/2
- sum_proper_divisors2/2
- sum_all_divisors/2
- prime_divisors/2
- prime_factors/2
- n_factorial/2
- factorial2/2
- factorial3/2
- factorial4/2
- palindromic/1
- palindromic2/1
- lcm/3
- prodlist/2
- mult/3
- num_to_digit_list/2
- digit_list_to_num/2
- digit_list_to_num/3
- to_alpha/2
- list_slices/3
- running_prod/3
- maplist_rev_args/3
- concat_string_list/2
- digits_sum/2
- permutation_cp/3
- euler1.pl: Project Euler problem #1
- euler2.pl: Project Euler problem #2
- euler3.pl: Project Euler problem #3
- euler4.pl: Project Euler problem #4
- euler5.pl: Project Euler problem #5
- euler6.pl: Project Euler problem #6
- euler7.pl: Project Euler problem #7
- euler8.pl: Project Euler problem #8
- euler9.pl: Project Euler problem #9
- euler10.pl: Project Euler problem #10
- euler11.pl: Project Euler problem #11
- euler12.pl: Project Euler problem #12
- euler13.pl: Project Euler problem #13
- euler14.pl: Project Euler problem #14
- euler15.pl: Project Euler problem #15
- euler16.pl: Project Euler problem #16
- euler17.pl: Project Euler problem #17
- euler18.pl: Project Euler problem #18
- euler19.pl: Project Euler problem #19
- euler20.pl: Project Euler problem #20
- euler21.pl: Project Euler problem #21
- euler22.pl: Project Euler problem #22
- euler23.pl: Project Euler problem #23
- euler24.pl: Project Euler problem #24
- euler25.pl: Project Euler problem #25
- euler26.pl: Project Euler problem #26
- euler27.pl: Project Euler problem #27
- euler28.pl: Project Euler problem #28
- euler29.pl: Project Euler problem #29
- euler30.pl: Project Euler problem #30
- euler31.pl: Project Euler problem #31
- euler32.pl: Project Euler problem #32
- euler33.pl: Project Euler problem #33
- euler34.pl: Project Euler problem #34
- euler35.pl: Project Euler problem #35
- euler36.pl: Project Euler problem #36
- euler37.pl: Project Euler problem #37
- euler38.pl: Project Euler problem #38
- euler39.pl: Project Euler problem #39
- euler40.pl: Project Euler problem #40
- euler41.pl: Project Euler problem #41
- euler42.pl: Project Euler problem #42
- euler43.pl: Project Euler problem #43
- euler44.pl: Project Euler problem #44
- euler45.pl: Project Euler problem #45
- euler46.pl: Project Euler problem #46
- euler47.pl: Project Euler problem #47
- euler48.pl: Project Euler problem #48
- euler49.pl: Project Euler problem #49
- euler50.pl: Project Euler problem #50
- exodus.pl: Exodus puzzle (Dell Logic Puzzle)
- exactly.pl: Global constraint
exactly/3
(or rather: testing the constraint)
- extract_from_indices.pl: Test of the constraints
extract_from_indices/3>
and extract_from_indices2d/3>
- fancy.pl: Mr Greenguest puzzle (Fancy dress puzzle)
- farmer.pl: Farmer (goat, wolf, cabbage) planning problem. (uses the bplan module)
- farmer2.pl: Farmer (goat, wolf, cabbage) planning problem, from B-Prolog)
- fib.pl: Fibonacci (from B-Prolog)
- fill_a_pix.pl: Fill-a-Pix grid puzzle
- fill_in_the_squares.pl: Fill in the Squares (Brainjammer)
- finding_celebrities.pl: Finding Celebrities
- five_brigands.pl: Five Brigands (Dudeney)
- four_islands.pl: Four Islands puzzle (Dell Logic puzzles)
- fractions.pl: Fractions problem (Prolog benchmark)
- friends_at_different_floors.pl: Friends at different floors (logic puzzle)
- frustration_patience.pl: Frustration Patience (simulation)
- furniture_moving.pl: Furniture moving (scheduling problem with
cumulative/2
) (aka assignment
)
- futoshiki.pl: Futoshiki grid puzzle
- general_store.pl: General store
- global_contiguity.pl: Global constraint
global_contiguity
- global_contiguity_regular.pl: Global constraint
global_contiguity
using regular
constraint
- golomb_ruler.pl: Golomb ruler problem
- grocery.pl: Grocery puzzle (a.k.a. 7/11 puzzle)
- hakank_utils.pl: Some utils, mostly CLPFD stuff. See above for details.
- hamming_distance.pl: Hamming distance (differences between two binary lists)
- handshaking.pl: Halmos' Handshaking problem
- hanging_weights.pl: Hanging weights
- heterosquare.pl: Heterosquare problem
- hidato.pl: Hidato grid puzzle
- huey_dewey_louie.pl: Huey, Dewey, and Louie problem (Marriott and Stuckey)
- inverse.pl: Global constraints
inverse/1
and inverse/2
- isbn.pl: Some exploration of ISBN13
- jobs_puzzle.pl: Jobs puzzle
- just_forgotten.pl: Just Forgotten puzzle (Enigma #1517)
- kakuro.pl: Kakuro grid puzzle
- K4P2GracefulGraph2.pl: K4P2 Graceful Graph
- kenken2.pl: KenKen grid puzzle
- killer_sudoku.pl: Killer Sudoku
- knapsack.pl: Simple Knapsack problem
- knapsack_rosetta_code_01.pl: 01 Knapsack (Rosetta code)
- knapsack_rosetta_code_bounded.pl: Knapsack bounded (Rosetta code)
- knapsack_investments.pl: Knapsack (investments) (Lundgren, Ronnqvist, Varbrand)
- knapsack_rosetta_code_unbounded.pl: Knapsack unbounded (Rosetta code)
- knight_tour_circuit.pl: Knight tour using
circuit/1
(for matrices NxN where N is even)
- labeled_dice.pl: Two dice puzzles: "Labeled dice" and "Building blocks"
- langford.pl: Langford's number problem (
L(2,N)
)
- latin_squares_diagonals.pl: Latin squares with diagonals
- lecture_series.pl: Lecture Series (Dell Logic Puzzle)
- least_diff.pl: Least diff problem (minimize there difference between ABCDE - FGHIJ)
- lectures.pl: Lecture scheduling (simple) (Biggs)
- light_meal.pl: Light meal problem (Colmerauer, Prolog III)
- magic_hexagon.pl: Magic hexagon (CSPLib #023)
- magic_sequence.pl: Magic sequence (CLP and non-CLP approaches)
- magic_square.pl: Magic square
- magic_square_and_cards.pl: Magic square and cards (Martin Gardner)
- mamas_age.pl: Mama's age (Dudeney)
- map_coloring.pl: Map coloring (simple)
- mankell.pl: Generating all spellings of Henning Mankell (and Kjellerstrand)
- marathon2.pl: Marathon puzzle
- max_flow_winston1.pl: Max flow problem (Winston OR book)
- minesweeper.pl: Minesweeper puzzle
- monks_and_doors.pl: Monks and Door problem (Roland Bol)
- mortgage.pl: Mortgage experiments (using
clpr
)
- mr_smith.pl: Mr Smith party problem (IF Prolog)
- music_men.pl: Music men problem (logical puzzle)
- nadel.pl: Nadel's construction problem (Rina Dechter)
- number_lock2.pl: Number lock problem (2 variants), as well as generating new puzzles.
- nvalue.pl: Global constraint
nvalue/2
(or rather: testing the constraint)
- nvalues.pl: Global constraint
nvalues/3
(or rather: testing the constraint)
- number_of_days.pl: Number of Days (knapsack) (Nathan Brixius)
- olympic.pl: Olympic puzzle (standard Prolog problem)
- organize_day.pl: Organize a day (simple scheduling)
- p_median.pl: P-Median problem (OPL)
- pair_divides_the_sum.pl: Pair divides the sum
- pandigital_numbers.pl: Pandigital numbers
- perfect_square_sequence.pl: Perfect square sequence (from "Fun with num3ers")
- pert.pl: Simple PERT model (P. Van Hentenryck)
- photo_problem.pl: Photo problem
- pigeon_hole.pl: Pigeon hole problem
- place_number_puzzle.pl: Place number puzzle
- pythagoras.pl: Pythagoras problem
- quasigroup_completion.pl: Quasigroup completion problem
- queens.pl: N-queens problem.
- rabbits.pl: Rabbits problem (Van Hentenryck)
- regular.pl: Decomposition of global constraint
regular
(and testing some DFA's)
- remainders.pl: Remainders problem (Kordemsky)
- remarkable_sequence.pl: Remarkable sequence
- safe_cracking.pl: Safe cracking puzzle
- schedule1.pl: (Simple Scheduling problem (SICStus Prolog)
- schedule2.pl: (Simple Scheduling problem (use
my_cumulative/4
)
- scheduling_speakers.pl: Scheduling speakers (R. Dechter)
- schoolgirls.pl: Schoolgirl logic puzzle
- scrabble_contest.pl: Scrabble and Chess Contest puzzle
- secret_santa.pl: Secret Santa problem
- secret_santa2.pl: Secret Santa problem II (Maple Primes)
- send_more_money.pl: SEND+MORE=MONEY (several implementations, both CLP and non-CLP)
- send_more_money_any_base.pl: SEND+MORE=MONEY in any base
- send_most_money.pl: SEND+MOST=MONEY, and maximize the value of MONEY
- sequence_problem.pl: Sequence problem (Marriott and Stuckey)
- seseman.pl: Seseman convent problem.
- set_covering.pl: Set covering problem (Winston: Placing fire stations)
- set_covering2.pl: Set covering problem (Taha: Placing security telephones)
- set_covering3.pl: Set covering problem (Murty: Selecting senators for committees)
- set_covering4.pl: Set covering/set partition problem (Lundgren, Ronnqvist, Varbrand)
- set_covering_deployment.pl: Set covering deployment (optimal stationing of troops)
- set_covering_skiena.pl: Set covering (example from S. Skiena)
- shifted_division.pl: Shifted division
- sicherman_dice.pl: Sicherman dice
- ski_assignment.pl: Ski assignment puzzle
- sliding_sum.pl: Global constraint
sliding_sum
- smugglers_knapsack.pl: Smuggler's Knapsack (Marriott and Stuckey)
- sonet.pl: SONET network design problem
- spreadsheet.pl: Simple spreadsheet (using
clpr
)
- square_root_of_wonderful.pl: Square root of Wonderful (Martin Gardner)
- stable_marriage.pl: Stable Marriage problem
- steiner.pl: Steiner triplets
- strimko2.pl: Strimko grid puzzle
- stuckey_seesaw.pl: Balancing on a seesaw (Marriott and Stuckey)
- subset_sum.pl: Subset sum problem (Murty: Stolen coin bags)
- subset_sum2.pl: Subset sum problem with large integers
- sudoku.pl: Sudoku
- survo_puzzle.pl: Survo puzzle
- talisman_square.pl: Talisman Squar
- telephone_number.pl: Telephone number sequence
e
- the_family_puzzle.pl: The Family Puzzle (logic puzzle)
- timpkin.pl: Mrs Timpkin's Age (Dudeney)
- to_num.pl:
to_num(List,Base,Number)
: Convert a number to/from a list of digits (e.g. for alphametic problems)
- torn_numbers.pl: tourist_site_competition.pl: Tourist Site Competition (P. Flener)
- traffic_lights.pl: Traffic lights problem
- tsp.pl: Traveling salesperson problem
- tunapalooza.pl: Tunapalooza puzzle (Dell Logic Puzzle)
- twin_letters.pl: Twin Letters puzzle
- volsay1.pl: Volsay problem (OPL)
- volsay2.pl: Volsay problem, variant (OPL)
- volsay3.pl: Volsay problem, another variant (OPL)
- war_or_peace.pl: War or Peace problem
- warehouse.pl: Warehouse location problem (OPL)
- water.pl: Water jugs problem (uses the bplan module)
- who_killed_agatha.pl: Who killed Agatha problem (The Dreadsbury Mansion Murder Mystery)
- who_killed_the_bosmer.pl: Who killed the Bosmer? (logic puzzle)
- wordle.pl: Wordle solver
- wordle_dcg.pl: Wordle solver using DCGs
- xkcd.pl: xkcd #287 puzzle (the one with the knapsack/subset sum menu problem)
- young_tableaux.pl: Young tableaux and partition
- zebra.pl: Zebra puzzle
Also, see my other pages about constraint programming systems:
* My Constraint Programming Blog
* Constraint Programming
* Common constraint programming problems
* My MiniZinc page
* My JaCoP page
* My JaCoP/Scala page
* My Choco page
* My Gecode/R page
* My Comet page
* My Gecode page
* My ECLiPSe page
* My Tailor/Essence' page
* My SICStus Prolog page
* My Google CP Solver page
* My OscaR page
* My JSR-331 page
* My Numberjack page
* My AIMMS+CP page
* My B-Prolog page
* My Choco3 page
* My Picat page
* My Z3 page
Back to my homepage
Created by Hakan Kjellerstrand hakank@gmail.com


Honzi
/
Guides
/
World of Warcraft
/Professions
All characters should learn secondary professions at level 20:
Archaeology
Cooking
Fishing
Suggested profession progression:
???


Windmill Townhomes and Duplexes are nestled in a peaceful area in the hills adjacent to Texas State University in beautiful San Marcos Texas. Our townhomes and duplexes are only three blocks away from the campus. We offer professional on-site management and on-site maintenance as well. We invite you to come view your new Townhome or Duplex today. You get great townhome style living at apartment prices.
Windmill Townhomes and Duplexes is a member of the Texas Apartment Association


Authentise-Store
This is a very simple example of an e-commerce website to sell designs for 3D printing using Authentise design streaming.
It's a work in progress, has a lot of restrictions and is meant to be a starting point for people building their own stores.
In addition to Authentise, the services used are: Stripe, Mailgun, and Heroku.
Learn more about Authentise design streaming at http://authentise.com/tech.
Please leave your comments and suggestions. Feedback and pull requests are very welcome.
Special thanks to Jennie Lees. Most of this code was written under her watch and pretty much all this wonderful step-by-step tutorial has been written by her. Visit her portfolio: http://jennielees.github.io.
Running locally
First, get it ready to run locally:
Signup for Stripe.com.  You will need this keys soon.
Sign up for Mailgun free account at https://mailgun.com. You’ll need a few pieces of information from the Mailgun control panel before moving forward:
- API Key
Sandbox Domain URL (should look like "sandboxc6235728hdkjehf283hajf13a90679.mailgun.org" Both of these pieces of information can be found on the landing page of the Mailgun control panel.
Contact Authentise to get an API key for the Design Streaming service.
Install Postgres: Mac - http://postgresapp.com/ Windows - http://www.postgresql.org/download/windows/ Ubuntu - 'apt-get install postgresql'.
On Terminal, type psql.
$ psql
If you don't have a Github account, create one. If you don't know Git, do a quick online tutorial to figure out how it works. Help: try.github.io
Fork this repo, and then clone it locally. Help: https://help.github.com/articles/fork-a-repo/
On Terminal, go to your forked repo.
Also on Terminal, run the following code to install required dependencies:
$ sudo pip install -r requirements.txt
Now export the variables for your Authentise, Mailgun and Stripe TEST keys:
$ export STRIPE_SECRET_KEY="your_stripe_TEST_secret_key"
$ export STRIPE_PUBLISHABLE_KEY="your_stripe_TEST_publishable_key"
$ export AUTHENTISE_API_KEY="your_authentise_key"
$ export MAILGUN_API_KEY="your_mailgun_api_key"
$ export MAILGUN_SANDBOX_DOMAIN_URL="your_mailgun_sandbox_domain_url"
On
static/images
replace the filecover.png
with the image background for your home.
Email<EMAIL_ADDRESS>Password:
Authentication successful.
- Install the Python package gunicorn
$ pip install gunicorn
- Now you are going to create a 'Procfile' with the following content 'web: gunicorn app:app --log-file=-'. If you know how to do it, good. If you don't, here's a suggestion:
vim Procfile
You should be in the VIM editor now. Press the key 'i' in your keyboard.
Paste or type the followin line:
web: gunicorn app:app --log-file=-
Press the key 'ESC' on your keyboard.
Type ':w' and then ':q'
To make sure it's done, display the file content doing:
$ cat Procfile
Check this works with 'foreman':
$ foreman start
- If everything is fine, add 'Procfile' to the git repo.
$ git add Procfile
$ git commit -m "Getting ready for Heroku"
- You are ready to create a new Heroku app. This creates a new app and sets up the Git remote heroku for you to push code to.
$ heroku create
- To deploy, push the code via Git:
$ git push heroku
- Wwhen the deploy is done, you should see the URL of your new Heroku app:
remote: -----> Discovering process types
remote: Procfile declares types -> web
remote:
remote: -----> Compressing... done, 37.2MB
remote: -----> Launching... done, v3
remote: https://desolate-beyond-5764.herokuapp.com/ deployed to Heroku
remote:
remote: Verifying deploy.... done.
To https://git.heroku.com/desolate-beyond-5764.git
You can then visit that URL in your browser.
- You can rename your app to customize your URL:
$ heroku rename my_store_name
Now your URL will be 'http://my_store_name.herokuapp.com'.


Determines what event will operate an elevator or trigger. The event, when carried out, will move an elevator to its next stop, or trigger a trigger.
event_mask values
| 1 | Cross line from front side |
| 2 | Cross line from back side |
| 4 | Enter sector |
| 8 | Leave sector |
| 16 | Nudge line from front side / Nudge sector from inside |
| 32 | Nudge line from back side / Nudge sector from outside |
| 64 | Explosion |
| 256 | Shoot or punch line (see entity_mask) |
| 512 | Land on floor of sector |
(The above are bit values, so are added up when more than one are needed.)
| * or -1 | All bits set |
| Custom values | Triggered by triggers with an event: or by certain messages with the custom value as a parameter. |
Usage:
| event_mask: [value]
See Defaults


It happened that fox caught its tail in trap, and in struggling to release himself lost all of it but stump.
a
a
the
At first, he was ashamed to show himself among his fellow foxes. But at last, he was determined to put a bolder face upon his misfortune, and summoned all the foxes to general meeting to consider proposal which he had to place before them. When they had assembled together fox proposed that they should all do away with their tails.
a
a
the
He pointed out how inconvenient tail was when they were pursued by their enemies, the dogs; how much it was in the way when they desired to sit down and hold friendly conversation with one another. He failed to see any advantage in carrying about such useless encumbrance. “That is all very well,” said one of the older foxes; “but I do not think you would have recommended us to dispense with our chief ornament if you had not happened to lose it yourself.”
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Wayne Tseng, PE
Hello, I am the Professional Engineer, Electrical.
I am extremely interested in gaining experience in the field of Engineering. The classes I have pursued for my undergraduate degree, such as, Math, Physics, Computer Science, Electron, and Computer Information System have given me a solid academic foundation in this area.
From my past internship and work experience provide me with the opportunity to apply this knowledge in the field of Engineering, as well as develop the communication, problem solving, and numeracy skills I have acquired.
I am looking to become an engineer role that will challenge me and allow me to be the best I can while I help the people around me being their best.
I love my profession. I love being an engineer, talking about engines, machines, going to site project and learn new experience.


Reply in conversations in the appropriate assignment, not just as a general comment.
It's JavaScript first, jQuery second. jQuery is a library built on top of JavaScript. No matter how could the library, it is the language that is primary.
Put ShowDirectories in your main object.
http://localhost:1835/charlie/development/web/HtmlGuide/GettingStarted.html#input
http://localhost:1835/charlie/development/web/HtmlGuide/GettingStarted.html#select
Variable Declarations
Regardless of where you declare a var statement, it will be moved by the compiler to the top of the method (or scope) in which it is declared:
function run() { var x = 0; x = 2 + 3; var firstName = "Tom"; var lastName = "Fielding";}
The var statements are hoisted, and this becomes:
function run() { var x = 0; var firstName; var lastName;
x = 2 + 3;}
Source from class: ObjectVariables01.zip1
function foo() {
var number01 = 0;
number02 = 0;
}
In this example, number01 is not a global variable, but number02 is global. That is, it is part of window: window.number02.
JSHint is designed to help you catch problems like this, particularly if you turn on strict mode. In fact, in strict mode, many browsers will through a ReferenceError if number02 is not defined.
var MyApp = {};
MyApp.InitCordova = (function() { } )();
MyApp.ShowDirectories = (function() { } )();
There are also tools like AMD modules used with RequireJS or Dojo. We are not going to cover them in this part of this course.
Reasons:
Separation of concerns
Loose coupling
If you have a JavaScript error, you want to know that the problem is in a JavaScript file. It is simply confusing to have to look through all your code, HTML, CSS, and JavaScript to find the error. The same rule applies to CSS and HTML problems.
Keep HTML in HTML files and you will know where to look for solutions. This means that we like writing code like this:
$("#test01").addClass("green");
But we don't really like this:
$("#test01).css( { backgroundColor: "blue" } );
If you write code like this, you are putting JavaScript in your HTML:
<button id="myButton01" onclick="myObject.runButton01()">Click Me 01</button>
Instead, it is better to put code like this in your JavaScript file:
$("#myButton01").click(myObject.runButton01);
http://www.elvenware.com/charlie/development/web/JavaScript/JQueryBasic.html#jqHandlebars
You can install program, copy files, and start a shell. See here:
CordovaListDirectories
CordovaListDirs02
CordovaFileReader
WebFileTests
HandleBarDemo01
Homework - Basic File
Discuss how to create two loops.
Speed test
More on module pattern pattern
The book analogy
When writing code, structure is even more important than when creating a book. Code is harder to understand than text.
More on functions, methods and constructors.
More on passing functions as a parameter.


Find out what it takes to accomplish your financial goals. This calculator allows you to know how much money you may have at the end of a specified investment period.


|
SGCoreCs
v1.3.1
SenseGlove C# API
|
Contains interpolation sets of all joint movements that can be caluclated into a handPose. More...
Public Member Functions | |
| HandInterpolator (InterpolationSet[][] interpolations) | |
| Create a new basic HandInterpolator without a starting rotation. More... | |
| HandInterpolator (InterpolationSet[][] interpolations, Quat cmcStart) | |
| Create a new basic HandInterpolator with a starting rotation. More... | |
| float | CalculateAngle (Finger finger, int movement, float value) |
| Calculate any finger's movement rotation, using an input value. More... | |
| float | CalculateAngle (Finger finger, FingerMovement movement, float value) |
| Calculate a finger movement's rotation, using an input value. More... | |
| float | CalculateAngle (Finger finger, ThumbMovement movement, float value) |
| Calculate a thumb movement's rotation, using an input value. More... | |
| float | CalculateAngle (ThumbMovement movement, float value) |
| Calculate a thumb movement's rotation, using an input value More... | |
| bool | Equals (HandInterpolator other) |
| Check if this handInterpolator matches another. More... | |
| void | SetInterpolation (Finger finger, FingerMovement movement, float inputAt0, float inputAt1, float angleAt0, float angleAt1) |
| Updates a particular joint movement interpolation, without changing its limits More... | |
| void | SetInterpolation (ThumbMovement movement, float inputAt0, float inputAt1, float angleAt0, float angleAt1) |
| Updates a particular joint movement interpolation, without changing its limits More... | |
| string | Serialize () |
| Serialize this HandInterpolator into a string representation. More... | |
Static Public Member Functions | |
| static HandInterpolator | Default (bool rightHand) |
| Create a default instance of a left- or right handed interpolator. More... | |
| static Vect3D[] | InterpolateFingerAngles (Finger finger, HandInterpolator interpolator, Vect3D totalAngles) |
| Calculate all angles of a specific finger based on an Interpolator and input angles. More... | |
| static Vect3D[] | InterpolateThumbAngles (HandInterpolator interpolator, Vect3D totalAngles) |
| Calculate all angles of the Thumb based on an Interpolator and input angles. More... | |
| static Vect3D[][] | InterpolateHandAngles (HandInterpolator profile, Vect3D[] totalAngles) |
| Calculate all hand angles based on an interpolator and total xyz angles. More... | |
| static HandInterpolator | Deserialize (string serializedString) |
| Convert a serialized HandInterpolator back into a class representation. More... | |
| static HandInterpolator | BetweenPoses (HandPose poseAt0, HandPose poseAt1) |
| Generates a HandInterpolator that returns PoseAt0's handAngles at input 0, and PoseAt1's handAngles at input 1. More... | |
Public Attributes | |
| InterpolationSet[][] | jointInterpolations |
Properties | |
| Quat | CmcStartRot [get, set] |
| Starting rotation of the thumb cmc joint. More... | |
Contains interpolation sets of all joint movements that can be caluclated into a handPose.
| SGCore.Kinematics.HandInterpolator.HandInterpolator | ( | InterpolationSet | interpolations[][] | ) |
Create a new basic HandInterpolator without a starting rotation.
| SGCore.Kinematics.HandInterpolator.HandInterpolator | ( | InterpolationSet | interpolations[][], |
| Quat | cmcStart | ||
| ) |
Create a new basic HandInterpolator with a starting rotation.
| interpolations | |
| cmcStart |
|
static |
Generates a HandInterpolator that returns PoseAt0's handAngles at input 0, and PoseAt1's handAngles at input 1.
| poseAt0 | |
| poseAt1 |
| float SGCore.Kinematics.HandInterpolator.CalculateAngle | ( | Finger | finger, |
| FingerMovement | movement, | ||
| float | value | ||
| ) |
Calculate a finger movement's rotation, using an input value.
| finger | |
| movement | |
| value |
| float SGCore.Kinematics.HandInterpolator.CalculateAngle | ( | Finger | finger, |
| int | movement, | ||
| float | value | ||
| ) |
Calculate any finger's movement rotation, using an input value.
| finger | |
| movement | |
| value |
| float SGCore.Kinematics.HandInterpolator.CalculateAngle | ( | Finger | finger, |
| ThumbMovement | movement, | ||
| float | value | ||
| ) |
Calculate a thumb movement's rotation, using an input value.
| finger | |
| movement | |
| value |
| float SGCore.Kinematics.HandInterpolator.CalculateAngle | ( | ThumbMovement | movement, |
| float | value | ||
| ) |
Calculate a thumb movement's rotation, using an input value
| movement | |
| value |
|
static |
Create a default instance of a left- or right handed interpolator.
| rightHand |
|
static |
Convert a serialized HandInterpolator back into a class representation.
| serializedString |
| bool SGCore.Kinematics.HandInterpolator.Equals | ( | HandInterpolator | other | ) |
Check if this handInterpolator matches another.
| other |
|
static |
Calculate all angles of a specific finger based on an Interpolator and input angles.
| finger | |
| interpolator | |
| totalAngles |
|
static |
Calculate all hand angles based on an interpolator and total xyz angles.
| profile | |
| totalAngles |
|
static |
Calculate all angles of the Thumb based on an Interpolator and input angles.
| interpolator | |
| totalAngles |
| string SGCore.Kinematics.HandInterpolator.Serialize | ( | ) |
Serialize this HandInterpolator into a string representation.
| void SGCore.Kinematics.HandInterpolator.SetInterpolation | ( | Finger | finger, |
| FingerMovement | movement, | ||
| float | inputAt0, | ||
| float | inputAt1, | ||
| float | angleAt0, | ||
| float | angleAt1 | ||
| ) |
Updates a particular joint movement interpolation, without changing its limits
| finger | |
| movement | |
| inputAt0 | |
| inputAt1 | |
| angleAt0 | |
| angleAt1 |
| void SGCore.Kinematics.HandInterpolator.SetInterpolation | ( | ThumbMovement | movement, |
| float | inputAt0, | ||
| float | inputAt1, | ||
| float | angleAt0, | ||
| float | angleAt1 | ||
| ) |
Updates a particular joint movement interpolation, without changing its limits
| movement | |
| inputAt0 | |
| inputAt1 | |
| angleAt0 | |
| angleAt1 |
| InterpolationSet [][] SGCore.Kinematics.HandInterpolator.jointInterpolations |
|
getset |
Starting rotation of the thumb cmc joint.
summary> Interpolation sets for each finger. First index indicates which finger, Second index indicates the joint movement.


+++ title = "Santo Stéfano" lat = 38.014152 lon = 14.347801 +++
Santo Stéfano is a gorgeous seaside town, on the north coast of Sicily, that's famous for its ornate local ceramics. It's on a small peninsula, and it's in a fairly quiet area, considering how over-developed other parts of this coast are. I spent one night in the town, before going up into the Nebrodi highlands on my bicycle.


Step 1 of 3
Your Client ID is a 11 digitals code included on your correspondence under appointment's location.


- Journal List
- Br J Clin Pharmacol
- v.38(1); 1994 Jul
- PMC1364833
Inhibitors of alprazolam metabolism in vitro: effect of serotonin-reuptake-inhibitor antidepressants, ketoconazole and quinidine.
Abstract
1. The biotransformation of the triazolobenzodiazepine alprazolam (ALP) to its hydroxylated metabolites (4-OH-ALP and alpha-OH-ALP) was evaluated in human, monkey, rat, and mouse liver microsomes. 2. In all species 4-OH-ALP was the principal metabolite, accounting for 84% of clearance in human microsomes compared with 16% for alpha-OH-ALP. 3. Among the serotonin-specific reuptake inhibitors fluoxetine (FLU) and sertraline (SERT), and their respective demethylated metabolites norfluoxetine (NOR) and desmethylsertraline (DES), NOR was the most potent inhibitor (mean Ki for 4-OH-ALP formation in humans: 11 microM), FLU the weakest (Ki = 83 microM), with SERT and DES falling in between (Ki = 24 and 20 microM). 4. The in vitro data predict 29% inhibition of ALP clearance at mean FLU and NOR plasma concentrations of 77 ng ml-1 and 72 ng ml-1, respectively, after correction for liver:water partition ratios in the range of 12-14. The observed mean degree of inhibition in a previous in vivo study was 21%. 5. Ketoconazole was a potent inhibitor of ALP metabolism in vitro (Ki = 0.046 microM), suggesting that ALP hydroxylation is mediated by the cytochrome P450-3A sub-family. Quinidine was a weak inhibitor (Ki = 626 microM).
Full text
Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (1.5M), or click on a page image below to browse page by page. Links to PubMed are also available for Selected References.
Selected References
These references are in PubMed. This may not be the complete list of references from this article.
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- Fawcett JA, Kravitz HM. Alprazolam: pharmacokinetics, clinical efficacy, and mechanism of action. Pharmacotherapy. 1982 Sep-Oct;2(5):243–254. [PubMed]
- Benfield P, Heel RC, Lewis SP. Fluoxetine. A review of its pharmacodynamic and pharmacokinetic properties, and therapeutic efficacy in depressive illness. Drugs. 1986 Dec;32(6):481–508. [PubMed]
- Sommi RW, Crismon ML, Bowden CL. Fluoxetine: a serotonin-specific, second-generation antidepressant. Pharmacotherapy. 1987 Jan-Feb;7(1):1–15. [PubMed]
- Murdoch D, McTavish D. Sertraline. A review of its pharmacodynamic and pharmacokinetic properties, and therapeutic potential in depression and obsessive-compulsive disorder. Drugs. 1992 Oct;44(4):604–624. [PubMed]
- Ciraulo DA, Shader RI. Fluoxetine drug-drug interactions: I. Antidepressants and antipsychotics. J Clin Psychopharmacol. 1990 Feb;10(1):48–50. [PubMed]
- Otton SV, Wu D, Joffe RT, Cheung SW, Sellers EM. Inhibition by fluoxetine of cytochrome P450 2D6 activity. Clin Pharmacol Ther. 1993 Apr;53(4):401–409. [PubMed]
- Brøsen K, Skjelbo E. Fluoxetine and norfluoxetine are potent inhibitors of P450IID6--the source of the sparteine/debrisoquine oxidation polymorphism. Br J Clin Pharmacol. 1991 Jul;32(1):136–137. [PMC free article] [PubMed]
- Skjelbo E, Brøsen K. Inhibitors of imipramine metabolism by human liver microsomes. Br J Clin Pharmacol. 1992 Sep;34(3):256–261. [PMC free article] [PubMed]
- von Bahr C, Spina E, Birgersson C, Ericsson O, Göransson M, Henthorn T, Sjöqvist F. Inhibition of desmethylimipramine 2-hydroxylation by drugs in human liver microsomes. Biochem Pharmacol. 1985 Jul 15;34(14):2501–2505. [PubMed]
- Crewe HK, Lennard MS, Tucker GT, Woods FR, Haddock RE. The effect of selective serotonin re-uptake inhibitors on cytochrome P4502D6 (CYP2D6) activity in human liver microsomes. Br J Clin Pharmacol. 1992 Sep;34(3):262–265. [PMC free article] [PubMed]
- Greenblatt DJ, Wright CE. Clinical pharmacokinetics of alprazolam. Therapeutic implications. Clin Pharmacokinet. 1993 Jun;24(6):453–471. [PubMed]
- Greenblatt DJ, von Moltke LL, Harmatz JS, Ciraulo DA, Shader RI. Alprazolam pharmacokinetics, metabolism, and plasma levels: clinical implications. J Clin Psychiatry. 1993 Oct;54 (Suppl):4–14. [PubMed]
- Lasher TA, Fleishaker JC, Steenwyk RC, Antal EJ. Pharmacokinetic pharmacodynamic evaluation of the combined administration of alprazolam and fluoxetine. Psychopharmacology (Berl) 1991;104(3):323–327. [PubMed]
- Greenblatt DJ, Preskorn SH, Cotreau MM, Horst WD, Harmatz JS. Fluoxetine impairs clearance of alprazolam but not of clonazepam. Clin Pharmacol Ther. 1992 Nov;52(5):479–486. [PubMed]
- van Harten J. Clinical pharmacokinetics of selective serotonin reuptake inhibitors. Clin Pharmacokinet. 1993 Mar;24(3):203–220. [PubMed]
- Gascon MP, Dayer P. In vitro forecasting of drugs which may interfere with the biotransformation of midazolam. Eur J Clin Pharmacol. 1991;41(6):573–578. [PubMed]
- Honig PK, Wortham DC, Zamani K, Conner DP, Mullin JC, Cantilena LR. Terfenadine-ketoconazole interaction. Pharmacokinetic and electrocardiographic consequences. JAMA. 1993 Mar 24;269(12):1513–1518. [PubMed]
- Back DJ, Stevenson P, Tjia JF. Comparative effects of two antimycotic agents, ketoconazole and terbinafine on the metabolism of tolbutamide, ethinyloestradiol, cyclosporin and ethoxycoumarin by human liver microsomes in vitro. Br J Clin Pharmacol. 1989 Aug;28(2):166–170. [PMC free article] [PubMed]
- Swinney DC. Progesterone metabolism in hepatic microsomes. Effect of the cytochrome P-450 inhibitor, ketoconazole, and the NADPH 5 alpha-reductase inhibitor, 4-MA, upon the metabolic profile in human, monkey, dog, and rat. Drug Metab Dispos. 1990 Nov-Dec;18(6):859–865. [PubMed]
- Otton SV, Crewe HK, Lennard MS, Tucker GT, Woods HF. Use of quinidine inhibition to define the role of the sparteine/debrisoquine cytochrome P450 in metoprolol oxidation by human liver microsomes. J Pharmacol Exp Ther. 1988 Oct;247(1):242–247. [PubMed]
- von Moltke LL, Greenblatt DJ, Cotreau-Bibbo MM, Duan SX, Harmatz JS, Shader RI. Inhibition of desipramine hydroxylation in vitro by serotonin-reuptake-inhibitor antidepressants, and by quinidine and ketoconazole: a model system to predict drug interactions in vivo. J Pharmacol Exp Ther. 1994 Mar;268(3):1278–1283. [PubMed]
- von Moltke LL, Greenblatt DJ, Harmatz JS, Shader RI. Alprazolam metabolism in vitro: studies of human, monkey, mouse, and rat liver microsomes. Pharmacology. 1993 Oct;47(4):268–276. [PubMed]
- von Moltke LL, Manis M, Harmatz JS, Poorman R, Greenblatt DJ. Inhibition of acetaminophen and lorazepam glucuronidation in vitro by probenecid. Biopharm Drug Dispos. 1993 Mar;14(2):119–130. [PubMed]
- Schmith VD, Cox SR, Zemaitis MA, Kroboth PD. New high-performance liquid chromatographic method for the determination of alprazolam and its metabolites in serum: instability of 4-hydroxyalprazolam. J Chromatogr. 1991 Jul 17;568(1):253–260. [PubMed]
- Greenblatt DJ, Abernethy DR, Divoll M. Kinetics of low-dose intravenous antipyrine: use of liquid chromatography. Int J Clin Pharmacol Ther Toxicol. 1983 Feb;21(2):51–55. [PubMed]
- Resetar A, Minick D, Spector T. Glucuronidation of 3'-azido-3'-deoxythymidine catalyzed by human liver UDP-glucuronosyltransferase. Significance of nucleoside hydrophobicity and inhibition by xenobiotics. Biochem Pharmacol. 1991 Jul 15;42(3):559–568. [PubMed]
- Tucker GT. The rational selection of drug interaction studies: implications of recent advances in drug metabolism. Int J Clin Pharmacol Ther Toxicol. 1992 Nov;30(11):550–553. [PubMed]
- Ciraulo DA, Antal EJ, Smith RB, Olson DR, Goldberg DA, Rand EH, Raskin RB, Phillips JP, Shader RI, Greenblatt DJ. The relationship of alprazolam dose to steady-state plasma concentrations. J Clin Psychopharmacol. 1990 Feb;10(1):27–32. [PubMed]
- Smith RB, Kroboth PD. Influence of dosing regimen on alprazolam and metabolite serum concentrations and tolerance to sedative and psychomotor effects. Psychopharmacology (Berl) 1987;93(1):105–112. [PubMed]
- Banks WR, Yamakita H, Digenis GA. Metabolism and distribution of 1-[14C]alprazolam in rats. J Pharm Sci. 1992 Aug;81(8):797–801. [PubMed]
- Greenblatt DJ, Harmatz JS, Shader RI. Plasma alprazolam concentrations. Relation to efficacy and side effects in the treatment of panic disorder. Arch Gen Psychiatry. 1993 Sep;50(9):715–722. [PubMed]
- Kronbach T, Mathys D, Umeno M, Gonzalez FJ, Meyer UA. Oxidation of midazolam and triazolam by human liver cytochrome P450IIIA4. Mol Pharmacol. 1989 Jul;36(1):89–96. [PubMed]
- Badcock NR, Bartholomeusz FD, Frewin DB, Sansom LN, Reid JG. The pharmacokinetics of ketoconazole after chronic administration in adults. Eur J Clin Pharmacol. 1987;33(5):531–534. [PubMed]
- Guengerich FP, Müller-Enoch D, Blair IA. Oxidation of quinidine by human liver cytochrome P-450. Mol Pharmacol. 1986 Sep;30(3):287–295. [PubMed]
- Cholerton S, Daly AK, Idle JR. The role of individual human cytochromes P450 in drug metabolism and clinical response. Trends Pharmacol Sci. 1992 Dec;13(12):434–439. [PubMed]
- Bickett DJ, MacKenzie PI, Veronese ME, Miners JO. In vitro approaches can predict human drug metabolism. Trends Pharmacol Sci. 1993 Aug;14(8):292–294. [PubMed]
- Kroemer HK, Echizen H, Heidemann H, Eichelbaum M. Predictability of the in vivo metabolism of verapamil from in vitro data: contribution of individual metabolic pathways and stereoselective aspects. J Pharmacol Exp Ther. 1992 Mar;260(3):1052–1057. [PubMed]
- Gonzalez FJ. In vitro systems for prediction of rates of drug clearance and drug interactions. Anesthesiology. 1992 Sep;77(3):413–415. [PubMed]
- Beaune PH, Guengerich FP. Human drug metabolism in vitro. Pharmacol Ther. 1988;37(2):193–211. [PubMed]
- Brosen K. Recent developments in hepatic drug oxidation. Implications for clinical pharmacokinetics. Clin Pharmacokinet. 1990 Mar;18(3):220–239. [PubMed]
- Murray M. P450 enzymes. Inhibition mechanisms, genetic regulation and effects of liver disease. Clin Pharmacokinet. 1992 Aug;23(2):132–146. [PubMed]
- Guengerich FP. Human cytochrome P-450 enzymes. Life Sci. 1992;50(20):1471–1478. [PubMed]
- Gonzalez FJ. Human cytochromes P450: problems and prospects. Trends Pharmacol Sci. 1992 Sep;13(9):346–352. [PubMed]
- Peck CC, Temple R, Collins JM. Understanding consequences of concurrent therapies. JAMA. 1993 Mar 24;269(12):1550–1552. [PubMed]
- Watkins PB. Role of cytochromes P450 in drug metabolism and hepatotoxicity. Semin Liver Dis. 1990 Nov;10(4):235–250. [PubMed]
- Wrighton SA, Stevens JC. The human hepatic cytochromes P450 involved in drug metabolism. Crit Rev Toxicol. 1992;22(1):1–21. [PubMed]
- Scavone JM, Friedman H, Greenblatt DJ, Shader RI. Effect of age, body composition, and lipid solubility on benzodiazepine tissue distribution in rats. Arzneimittelforschung. 1987 Jan;37(1):2–6. [PubMed]
- Tsuru M, Erickson RR, Holtzman JL. The metabolism of phenytoin by isolated hepatocytes and hepatic microsomes from male rats. J Pharmacol Exp Ther. 1982 Sep;222(3):658–661. [PubMed]
- Bogeyevitch MA, Gillam EM, Reilly PE, Winzor DJ. Physical partitioning as the major source of metoprolol uptake by hepatic microsomes. Biochem Pharmacol. 1987 Dec 1;36(23):4167–4168. [PubMed]
- Chou CH, Evans AM, Fornasini G, Rowland M. Relationship between lipophilicity and hepatic dispersion and distribution for a homologous series of barbiturates in the isolated perfused in situ rat liver. Drug Metab Dispos. 1993 Sep-Oct;21(5):933–938. [PubMed]
- Fraser AD, Isner AF, Perry RA. Distribution of trimipramine and its major metabolites in a fatal overdose case. J Anal Toxicol. 1987 Jul-Aug;11(4):168–170. [PubMed]


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Kendo UI is a comprehensive HTML5/JavaScript framework for modern web and mobile app development. It contains many widgets for web, a core framework, a mobile suite, and a complete Data Visualization solution.
The Angular Kendo project aims to provide deep integration between Kendo UI Web/DataViz and AngularJS.
<!-- markup --> <div kendo-chart k-options="pie"></div> // in controller: $scope.pie = { title: { position: "bottom", text: "Share of Internet Population Growth" }, ... }; |
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{%extends "base.html" %} {%block title%}Conference Registration - {{conference}}{%endblock%} {%block extrahead%} {%endblock%} {%block content%}
Return to your personal registration form.
You are currently managing the following registrations for others:
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{%endif%} {%if haspending%}This conference has the waitlist activated. Any remaining seats are handled manually. Each attendee must place their own registration on the waitlist and pay for it individually. Please advise others interested in attending to go to the conference website and make a personal registration.
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emnlp emnlp2011 emnlp2011-92 emnlp2011-92-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Quang Do ; Yee Seng Chan ; Dan Roth
Abstract: This paper develops a minimally supervised approach, based on focused distributional similarity methods and discourse connectives, for identifying of causality relations between events in context. While it has been shown that distributional similarity can help identifying causality, we observe that discourse connectives and the particular discourse relation they evoke in context provide additional information towards determining causality between events. We show that combining discourse relation predictions and distributional similarity methods in a global inference procedure provides additional improvements towards determining event causality.


TOMORROW NEVER DIES
A Film Review by James Berardinelli
RATING: *** OUT OF ****
United Kingdom/United States, 1997 U.S. Release Date: 12/19/97 (wide) Running Length: 2:00 MPAA Classification: PG-13 (Violence, mild profanity, sensuality) Theatrical Aspect Ratio: 2.35:1
Cast: Pierce Brosnan, Jonathan Pryce, Michelle Yeoh, Teri Hatcher, Gotz Otto, Judi Dench, Desmond Llewelyn, Samantha Bond, Geoffrey Palmer, Joe Don Baker Director: Roger Spottiswoode Producers: Barbara Broccoli and Michael G. Wilson Screenplay: Bruce Feirstein Cinematography: Robert Elswit Music: David Arnold U.S. Distributor: United Artists
The scrutiny surrounding TOMORROW NEVER DIES, the eighteenth "official" James Bond film (not counting CASINO ROYALE or NEVER SAY NEVER AGAIN), isn't as intense as it was around GOLDENEYE, but the attendant hype is, if anything, even more severe. Product tie-ins are everywhere. Turn on the TV, and you'll see Pierce Brosnan's Bond hocking cars and credit cards. (Product placements in the film are at an all-time high.) With GOLDENEYE, producers Barbara Broccoli and Michael G. Wilson successfully re-invented 007 for the '90s (although, truth be told, little modification was necessary) and proved that the venerable action hero could still be a viable box office draw (GOLDENEYE was the first Bond film to break the $100 million mark). Now, with TOMORROW NEVER DIES, it's back to business as usual -- continuing the once-again healthy franchise.
TOMORROW NEVER DIES is a better film than GOLDENEYE. In fact, it's the best Bond film in many years. For the first time since the legendary Sean Connery left the part, this movie feels like a Connery Bond adventure. Pierce Brosnan, having left behind the jitters he occasionally exhibited during GOLDENEYE, now inhabits his character with a suave confidence that is very like Connery's. The villain of the piece, Elliot Carver (played with panache by Jonathan Pryce), is cut from the Blofeld/Goldfinger mold -- sinister, cunning, and charismatic. (How many of the Roger Moore/Timothy Dalton bad guys fit this type?) The henchman, Stamper (Gotz Otto), bears more than a passing resemblance to Robert Shaw's killer in FROM RUSSIA WITH LOVE. The ever-reliable "Q" (Desmond Llewelyn) is still around, showing off his latest wares and telling 007 to "grow up." Added to that are the usual Bond girls (Teri Hatcher and Michelle Yeoh), the gadgets, the chase scenes, the fights, the explosions, and a John Barry-esque score (by David Arnold) that makes repeated and effective use of the "James Bond Theme."
As is usually the case in a 007 flick, the bad guy is a megalomaniac. There's a twist, however -- Carver doesn't want to rule the world, he wants to rule the world's media. The Rupert Murdoch-like figure is launching his own cable news network, and, to encourage viewers to tune in, he has decided to literally make headlines. Using the advanced technological capabilities of the Carver Media Group, he engineers a conflict in the South China Sea between two Chinese planes and the HMS DEVONSHIRE. The ship is sunk and one of the planes is destroyed. War between China and Britain looms, with Carver having the inside story. And that's where Bond comes in.
Equipped with a brand new BMW that can almost drive itself, 007 goes undercover into Carver's empire, pretending to be a banker. At a posh party held by the tycoon, he meets Carver's wife, Paris (Teri Hatcher), an old flame. Also present is Wai Lin (Michelle Yeoh), a Chinese secret agent posing as a newswoman. It doesn't take long for Bond to rub someone the wrong way, and soon he's ducking behind a printing press to escape a hail of bullets, then racing through the streets of Hamburg in his souped-up car. With the clock ticking, Bond and Wai Lin have less than forty-eight hours to stop World War III.
In TOMORROW NEVER DIES, the series breaks a little new ground. Wai Lin becomes the first "Bond girl" to function more as a partner for 007 than as a love interest, someone to be rescued, or both. Played by Hong Kong star Michelle Yeoh (also known as Michelle Khan), who is best known in America as Jackie Chan's co-star in SUPERCOP, this character is just as physical and lethal as Bond, and she never screams for help. Brosnan and Yeoh click, and if there was ever a Bond girl worth considering for an encore, Wai Lin is it.
I can't be as positive regarding Teri Hatcher, who turns the supposedly-exotic Paris into a bland, unalluring figure. Her shared past with 007 is supposed to bring out his vulnerable side (last seen at the end of ON HER MAJESTY'S SECRET SERVICE), but it's hard to believe that such an uninteresting person could inspire any kind of emotion. Hatcher is the film's most obvious weak link -- fortunately, her screen time is limited.
The action sequences are suitably entertaining. It's impossible to count the number of bullets fired, and there are pyrotechnics aplenty, including exploding missiles, a fireworks show on the ground, and a fairly spectacular climactic conflagration. There are a couple of memorable chases, including one with a driverless car and another with a low-flying helicopter closing in on a motorcycle. For those who crave flashes, bangs, narrow escapes, and other action film staples, TOMORROW NEVER DIES delivers.
While the script isn't as openly jokey as some of the Roger Moore screenplays, it contains a fair number of one-liners. While some of these are predictable, several of them are unforgettably witty. "M" (MRS. BROWN's Judi Dench) makes an acid comment about the roles of men and women in the politics of war, and Moneypenney (Samantha Bond) offers a pun about Bond's canny knowledge of different languages (surely the best line of the film). There's also some playful repartee between 007 and his Chinese counterpart.
Bond fans will likely love this movie. Detractors will yawn it away as "more of the same." In a way, however, that's the point. No one really wants Bond to change or evolve, at least not significantly. We attend movies like TOMORROW NEVER DIES because they offer a predictably entertaining time with a popular superhero who can save the world with one hand while holding his vodka martini (shaken, not stirred) in the other. TOMORROW NEVER DIES isn't fundamentally much different from GOLDENEYE or GOLDFINGER, for that matter. It's the same basic formula put to effective use. What separates a good Bond movie from a bad one isn't the plot -- it's the supporting cast, the intangibles, and the energy level. With only a few exceptions, TOMORROW NEVER DIES scores high marks in all three categories. Following this effort, there's no doubt that, once again, James Bond will return.
Copyright 1997 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1300 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"No art passes our conscience in the way film does, and goes directly to our feelings, deep down into the dark rooms of our souls"
- Ingmar Bergman
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I recently read a blog post that talked about “Web 3.0” and how it has already begun to move in. (I can’t find the link, but I’ll update when I track it down again.)
If you’re scratching your head, wondering what Web 2.0 and what Web 3.0 are, you’re not alone. I had only heard of Web 2.0 as it was gaining more and more notice in the US, but as I’ve learned about it, I realized I already knew what it was.
Essentially, Web 2.0 is the “blog” era…where the web has morphed from a few individuals creating content to literally billions of people creating content and posting it for the world to see, use, and pull from. By posting this, I am present in Web 2.0. Anyone with Facebook, Myspace, Twitter, a blog, or umpteen other web presences is a contributor to the Web 2.0 sphere.
Web 3.0, on the other hand, is more of an idea than a place. We used to “go to the internet” to find information.
Web 3.0 is the proliferation of the digital world into the physical world (QR codes, anyone?). It is the idea that I can pull out any wireless device and instantly have information at my fingertips about where I am, what I’m looking for, suggestions, ads, special deals…whatever I could want. We’re seeing this more and more with interactive kiosks in subway stations, showing neighborhood maps, restaurants, attractions, and offices, just to name a few.
The web is no longer a place…it is all around us, accessible in more forms than anyone can even begin to count.
So what does this mean for the classroom?
Our classes will become even more diverse and connected than they already are. Students want teachers to incorporate the web, but we need to change our thinking of the web as a single, functional tool. The web is an entity…and I don’t mean this in a weird, Skynet, sort of way; but simply as something that cannot and should not be limited to sitting in front of a computer.
My last post talked a little about QR codes in the class and how I’m planning on using them with my next unit. But I’m not satisfied with that alone. As the technology increases and as the web works its way into our lives, we have to embrace the changes to continue to mold dynamic, creative, and adaptive students.
Written on March 25th, 2011 by Brian Bennett Categorized in: All Technology
Leave a comment


Having COVID during the time of this haiku was very inspiring, and relaxing.
COVID is real fun
It gives time for family
Lets binge watch movies
I enjoy excursions with my family. We have been to places such as Topaz Mtn, Little Sahara sand dunes, Yellowstone, and many other state and national parks. We love the adventure, the campfires, and the memories that are shared.
I am also interested in technology. I have always been fascinated how technology has come to fruition, and also how I could be a role in its development. Having an interest in computers from and early age, and also being very deep-thinking also is leading me to become a patent attorney, so I can help people with not only patents, but also with IP, and copyright.
I like to fix things. I have always liked to restore old, broken or worn items back to their original state. I recently restored a lawn mower that I will be using at my house that I am currently building. I have found that taking in broken items and repairing them gives me a sense of accomplishment, and gives me an appreciation of how they were made, the though behind every part, and how people overcame the possible obstacles and challenges along the path to the items creation.
| Monday | Tuesday | Wednesday | Thursday | Friday | |
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| 10:00 | Work | Work | Work | Work | Work |
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| 2:30 | Calculus | CS 2300 | Calculus | CS 2300 | CS 2300 |
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| 4:00 | Eng 2010 | Build house | Eng 2010 | Build house | Build house |
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| 5:30 | CS 2550 | CS 2550 | |||
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BitMagic-C++
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Compressed (sparse collection of objects) More...
#include <bmsparsevec_util.h>
Public Types | |
| typedef bm::id_t | key_type |
| typedef bm::id_t | address_type |
| typedef Value | value_type |
| typedef Value | mapped_type |
| typedef BV | bvector_type |
| typedef std::vector< value_type > | container_type |
| typedef bm::bvps_addr_resolver< bvector_type > | address_resolver_type |
Public Member Functions | |
| compressed_collection () | |
| bool | push_back (key_type key, const value_type &val) |
| Add new value to compressed collection. More... | |
| const value_type & | at (key_type key) const |
| find and return const associated value (with bounds/presense checking) More... | |
| value_type & | at (key_type key) |
| find and return associated value (with bounds/presense checking) More... | |
| void | sync () |
| Checkpoint method to prepare collection for reading. More... | |
| void | optimize (bm::word_t *temp_block=0) |
| perform memory optimizations/compression More... | |
| bool | resolve (key_type key, address_type *addr) const |
| Resolve key address (index) in the dense vector. More... | |
| const value_type & | get (address_type addr) const |
| Get access to associated value by resolved address. More... | |
| const address_resolver_type & | resolver () const |
| Get address resolver. More... | |
| address_resolver_type & | resolver () |
| Get address resolver. More... | |
| size_t | size () const |
| size of collection More... | |
| bool | equal (const compressed_collection< Value, BV > &ccoll) const |
| perform equality comparison with another collection More... | |
| container_type & | container () |
| return dense container for direct access (this should be treated as an internal function designed for deserialization) More... | |
Protected Member Functions | |
| void | throw_range_error (const char *err_msg) const |
Protected Attributes | |
| address_resolver_type | addr_res_ |
| address resolver More... | |
| container_type | dense_vect_ |
| compressed space container More... | |
| key_type | last_add_ |
| last added element More... | |
Compressed (sparse collection of objects)
Definition at line 220 of file bmsparsevec_util.h.
| typedef bm::bvps_addr_resolver<bvector_type> bm::compressed_collection< Value, BV >::address_resolver_type |
Definition at line 229 of file bmsparsevec_util.h.
| typedef bm::id_t bm::compressed_collection< Value, BV >::address_type |
Definition at line 224 of file bmsparsevec_util.h.
| typedef BV bm::compressed_collection< Value, BV >::bvector_type |
Definition at line 227 of file bmsparsevec_util.h.
| typedef std::vector<value_type> bm::compressed_collection< Value, BV >::container_type |
Definition at line 228 of file bmsparsevec_util.h.
| typedef bm::id_t bm::compressed_collection< Value, BV >::key_type |
Definition at line 223 of file bmsparsevec_util.h.
| typedef Value bm::compressed_collection< Value, BV >::mapped_type |
Definition at line 226 of file bmsparsevec_util.h.
| typedef Value bm::compressed_collection< Value, BV >::value_type |
Definition at line 225 of file bmsparsevec_util.h.
| bm::compressed_collection< Value, BV >::compressed_collection | ( | ) |
Definition at line 591 of file bmsparsevec_util.h.
| const compressed_collection< Value, BV >::value_type & bm::compressed_collection< Value, BV >::at | ( | key_type | key | ) | const |
find and return const associated value (with bounds/presense checking)
Definition at line 659 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::get().
| compressed_collection< Value, BV >::value_type & bm::compressed_collection< Value, BV >::at | ( | key_type | key | ) |
find and return associated value (with bounds/presense checking)
Definition at line 674 of file bmsparsevec_util.h.
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inline |
return dense container for direct access (this should be treated as an internal function designed for deserialization)
Definition at line 289 of file bmsparsevec_util.h.
| bool bm::compressed_collection< Value, BV >::equal | ( | const compressed_collection< Value, BV > & | ccoll | ) | const |
perform equality comparison with another collection
Definition at line 701 of file bmsparsevec_util.h.
| const compressed_collection< Value, BV >::value_type & bm::compressed_collection< Value, BV >::get | ( | address_type | addr | ) | const |
Get access to associated value by resolved address.
Definition at line 650 of file bmsparsevec_util.h.
| void bm::compressed_collection< Value, BV >::optimize | ( | bm::word_t * | temp_block = 0 | ) |
perform memory optimizations/compression
Definition at line 629 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::optimize().
| bool bm::compressed_collection< Value, BV >::push_back | ( | key_type | key, |
| const value_type & | val | ||
| ) |
Add new value to compressed collection.
Must be added in sorted key order (growing).
Unsorted will not be added!
Definition at line 600 of file bmsparsevec_util.h.
| bool bm::compressed_collection< Value, BV >::resolve | ( | key_type | key, |
| address_type * | addr | ||
| ) | const |
Resolve key address (index) in the dense vector.
Definition at line 637 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::at(), and bm::compressed_collection< serializer< BV >::buffer, BV >::resolve().
|
inline |
Get address resolver.
Definition at line 272 of file bmsparsevec_util.h.
|
inline |
Get address resolver.
Definition at line 276 of file bmsparsevec_util.h.
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inline |
size of collection
Definition at line 280 of file bmsparsevec_util.h.
| void bm::compressed_collection< Value, BV >::sync | ( | ) |
Checkpoint method to prepare collection for reading.
Definition at line 621 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::sync().
|
protected |
Definition at line 689 of file bmsparsevec_util.h.
|
protected |
address resolver
Definition at line 295 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::equal().
|
protected |
compressed space container
Definition at line 296 of file bmsparsevec_util.h.
Referenced by bm::compressed_collection< serializer< BV >::buffer, BV >::equal().
|
protected |
last added element
Definition at line 297 of file bmsparsevec_util.h.


EVOLUTION (2001) / * 1/2
Directed by Ivan Reitman. Screenplay by David Diamond, David Weissman and Don Jakoby, based on a story by Jakoby. Starring David Duchovny, Orlando Jones, Julianne Moore. Running time: 104 minutes. Rated PG for frightening scenes by the MFCB. Reviewed on August 27th, 2001.
By SHANNON PATRICK SULLIVAN
Synopsis: When a meteorite crashlands in the Arizona desert, community college professors Ira Kane (Duchovny) and Harry Block (Jones) are first on the scene. They discover that an alien lifeform has arisen from the rock and is evolving at an amazing rate. Soon the army, advised by Dr Allison Reed (Moore), moves in and forces Kane and Block out. But when the aliens begin to menace society, it may take the scientists' combined efforts to stop them before they terminate the evolution of another lifeform: humanity.
Review: "Evolution" certainly has the ingredients for a decent comedy. It's directed by Reitman, clearly trying to parlay his "Ghostbusters" success into a twenty-first-century counterpart. It stars Duchovny, and although one might question his judgment in lampooning his "X-Files" character so soon after leaving the TV series, it should certainly provide him with plenty of ammunition. And then there's Moore, who may not have much prior experience in comedy, but who has certainly proven her ability as an actress. A shame, then, that it all deteriorates into such a hopelessly unfunny morass. "Evolution" is a movie more concerned with its special effects (which are quite good) than anything resembling a consistently funny script. It has its moments (a scene in which Jones' body is invaded by an alien is particularly entertaining), but there are embarrassingly long stretches that are utterly devoid of humour. Moore is totally wasted, her clumsy shtick getting very old, very fast. Duchovny has stunningly little in the way of material to work with.  Part of what made "Ghostbusters" so wonderful was a combination of a great script and characters the audience could root for. "Evolution" is so mind-numbingly tedious that it's difficult not to start cheering for the aliens.
Copyright © 2001 Shannon Patrick Sullivan. Archived at The Popcorn Gallery, http://www.physics.mun.ca/~sps/movies.html
| Shannon Patrick Sullivan |<EMAIL_ADDRESS>| +---------------------------------+---------------------------------+ / Doctor Who: A Brief History of Time (Travel) go.to/drwho-history \ \__ We are all in the gutter but some of us are looking at the stars __/
========== X-RAMR-ID: 29374 X-Language: en X-RT-ReviewID: 247022 X-RT-TitleID: 1108206 X-RT-SourceID: 886 X-RT-AuthorID: 1699 X-RT-RatingText: 1.5/4
The review above was posted to the
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Please direct comments/criticisms of the review to relevant newsgroups.
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Kory Friedman
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Dumbledroid: magical integration between Android apps and webservices
Note: this text was extracted from blog.leocad.io.
I love open source software. And Dumbledroid was the first one I developed. It's being used for a while now, but never had a proper documentation or manual. Today, I fixed that and gave him a well-deserved bio and some interesting how-tos.
Introducing Dumbledroid
Dumbledroid is a framework that enables integration between an Android app and a RESTful server using magic. Actually, it's not real magic. I'm kidding.
Using Dumbledroid, the developer doesn't have to write parsers for JSON or XML documents from a web service. It maps the document nodes to the class fields and does this automagically!
Dumbledroid also does automatic caching in memory and in disk. Presto!
Usage
You can find a whole detailed guide on the project page on Github. But, in short, if you have a JSON like this:
{
"name": "Luke",
"surname": "Skywalker",
"age": 18,
"isFromDarkSide": false,
"averageShipSpeed": 138.46
}
You only need to write a class like this:
public class Jedi extends AbstractModel {
private String name;
private String surname;
private int age;
private boolean isFromDarkSide;
private double averageShipSpeed;
}
…and you're done. If you name the class' fields exactly like the JSON nodes, Dumbledroid will do the parsing for you. It's magic, you know.
Can I use it on my Android app?
Sure. Dumbledroid is open-source, and its source code is released under the BSD 2-clause license.
If you use it and if it helps you, I'd appreciate you refer my name (Leocadio Tiné) and the link to the project's page in your project's website or credits screen. Though you don't have any legal/contractual obligation to do so, just good karma.
Learn more
The project page on Github has a very detailed README explaining how to use this framework. More tutorials and guides can be found on the wiki page.
You can download the example app on Google Play to see Dumbledroid in action.
And you can find the source code of the example app on the DumbledoreExample
folder of the project on Github.
So what are you waiting for? Start cloning!


One killed in northern Missouri hunting incident, investigation underway
by Ashley HoakKNOX COUNTY, Mo. — Law enforcement and the Missouri Department of Conservation are investigating a hunting incident that took place Sunday in the northern Missouri area.
A conservation agent confirmed to KTVO that a fatal hunting incident is under investigation in Knox County.
The agent did not specify where in Knox County the fatality occurred.
The name and age of the victim has also not been released.
KTVO will update this story as more information becomes available.


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1 write to M3PWorkflowActivityValidatedEvent
System.Management.Automation (1)
utils\tracing\TracingGen.cs (1)
186
M3PWorkflowActivityValidatedEvent
= new EventDescriptor(0xb01f, 0x1, 0x11, 0x5, 0x14, 0x6, (long)0x4000000000000200);
1 reference to M3PWorkflowActivityValidatedEvent
System.Management.Automation (1)
utils\tracing\TracingGen.cs (1)
745
WriteEvent(
M3PWorkflowActivityValidatedEvent
, workflowId, activityDisplayName, activityType);


Table of Contents
Resources:
- Types of artificial neural networks (wiki!)
- Artificial Neural Networks Complete Description (wiki!)
- History of ANNs (wiki!)
- Mathematics of ANNs (wiki)
- Deep Learning vs Probabilistic Graphical Models vs Logic (Blog!)
- A Cookbook for Machine Learning: Vol 1 (Blog!)
Interpretation of NNs:
- Schmidhuber was a pioneer for the view of “neural networks as programs”, which is claimed in his blog post. As opposed to the “representation learning view” by Hinton, Bengio, and other people, which is currently dominant in deep learning.
Neural Architectures
-
Neural Architectures - Graphical and Probabilistic Properties:
- FFN
- Directed
- Acyclic
- ?
- MLP
- Directed
- Acyclic
- Fully Connected (Complete?)
- CNN
- Directed
- Acyclic
- ?
- RNN
- Directed
- Cyclic
- ?
- Hopfield
- Undirected
- Cyclic
- Complete
- Boltzmann Machine
- Undirected
- Cyclic
- Complete
- RBM
- Undirected
- Cyclic
- Bipartite
- Bayesian Networks
- Directed
- Acyclic
- ?
- HMMs
- Directed
- Acyclic
- ?
- MRF
- Undirected
- Cyclic
- ?
- CRF
- Undirected
- Cyclic
- ?
- DBN
- Directed
- Acyclic
- ?
- GAN
- ?
- ?
- Bipartite-Complete
Notes:
- FFN
- Neural Architectures:
FeedForward Network:- Representations:
- Representational-Power: Universal Function Approximator.
Learns non-linear features.
- Representational-Power: Universal Function Approximator.
- Input Structure:
- Size: Fixed-Sized Inputs.
- Transformation/Operation: Linear-Transformations (Matrix-Multiplication).
- Inductive Biases:
- Computational Power:
Convolutional Network:
- Representations:
- Representational-Power: Universal Function Approximator.
- Representations Properties:
- Translational-Equivariance via Convolutions (Translational-Equivariant Representations)
- Translational-Invariance via Pooling
- Input Structure:
- Inputs with grid-like topology.
Images, Time-series, Sentences. - Size: Variable-Sized Inputs.
- Inputs with grid-like topology.
- Transformation/Operation: Convolution.
- Inductive Biases:
- Local-Connectivity: Spatially Local Correlations.
Recurrent Network:
- Representations:
- Representational-Power:
- Input Structure:
- Sequential Data.
Sentences, Time-series, Images.
- Sequential Data.
- Transformation/Operation: Gated Linear-Transformations (Matrix-Multiplication).
- Inductive Biases:
-
Computational Power (Model of Computation): Turing Complete (Universal Turing Machine).
- Mathematical Model/System: Non-Linear Dynamical System.
Transformer Network:
- Representations:
- Representational-Power:
- Input Structure:
Recursive Network:
- Representational-Power:
- Input Structure: Any Hierarchical Structure.
Further Network Architectures (More Specialized):
- Residual Network:
- Highway Network:
- Reversible Network:
- Generative Adversarial Network:
- Autoencoder Network:
- Symmetrically Connected Networks:
- Hopfield Network:
- Boltzmann Machines:
- Representations:
- Types/Taxonomy of Neural Networks:
- FeedForward Neural Networks
- Group method of data handling (GMDH) Network
- Autoencoder Network
- Probabilistic Neural Network
- Time Delay Neural Network
- Convolutional Neural Network
- (Vanilla/Tensor) Deep Stacking Network
- Recurrent Neural Networks:
- Fully Recurrent Neural Network
- Hopfield Network
- Boltzmann Machine Network
- Self-Organizing Map
- Learning Vector Quantization
- Simple Recurrent
- Reservoir Computing
- Echo State
- Long Short-term Memory (LSTM)
- Bi-Directional
- Hierarchical
- Stochastic
- Genetic Scale
- Memory Networks
- One-Shot Associative Memory
- Hierarchical Temporal Memory
- Holographic Associative Memory
- LSTM-related Differentiable Memory Structures
- Differentiable push and pop actions for alternative memory networks called neural stack machines
- Memory networks where the control network’s external differentiable storage is in the fast weights of another network
- LSTM forget gates
- Self-referential RNNs with special output units for addressing and rapidly manipulating the RNN’s own weights in differentiable fashion (internal storage)
- Learning to transduce with unbounded memory
- Neural Turing Machines
- Semantic Hashing
- Pointer Networks
- FeedForward Neural Networks
-
Neural Networks and Graphical Models:
Deep NNs as PGMs:
You can view a deep neural network as a graphical model, but here, the CPDs are not probabilistic but are deterministic. Consider for example that the input to a neuron is \(\vec{x}\) and the output of the neuron is \(y .\) In the CPD for this neuron we have, \(p(\vec{x}, y)=1,\) and \(p(\vec{x}, \hat{y})=0\) for \(\hat{y} \neq y .\) Refer to the section 10.2 .3 of Deep Learning Book for more details.
-
Neural Networks as Gaussian Processes:
It’s long been known that these deep tools can be related to Gaussian processes, the ones I mentioned above. Take a neural network (a recursive application of weighted linear functions followed by non-linear functions), put a probability distribution over each weight (a normal distribution for example), and with infinitely many weights you recover a Gaussian process (see Neal or Williams for more details).We can think about the finite model as an approximation to a Gaussian process.
When we optimise our objective, we minimise some “distance” (KL divergence to be more exact) between your model and the Gaussian process. - Neural Layers and Block Architectures:
- Feed-Forward Layer:
- Representational-Power: Universal Function Approximator.
Learns non-linear features. - Input Structure:
- Representational-Power: Universal Function Approximator.
- Convolutional Layer:
- Representational-Power:
- Input Structure:
- Recurrent Layer:
- Representational-Power:
- Input Structure:
- Recursive Layer:
- Representational-Power:
- Attention Layer:
- Representational-Power:
- Input Structure:
- Attention Block:
- Representational-Power:
- Residual Block:
- Representational-Power:
- Reversible Block:
- Representational-Power:
- Reversible Layer:
- Representational-Power:
- Representational-Power:
- Feed-Forward Layer:
- Notes:
- Complexity:
- Caching the activations of a NN:
We need to cache the activation vectors of a NN after each layer \(Z^{[l]}\) because they are required in the backward computation.
- Caching the activations of a NN:
- Initializations:
- Initializing NN:
- Don’t initialize the weights to Zero. The symmetry of hidden units results in a similar computation for each hidden unit, making all the rows of the weight matrix to be equal (by induction).
- It’s OK to initialize the bias term to zero.
- Since a neuron takes the sum of \(N\) inputsXweights, if \(N\) is large, you want smaller \(w_i\)s. You want to initialize with a variance \(\propto \dfrac{1}{n}\) (i.e. multiply by \(\dfrac{1}{\sqrt{n}}\); \(n\) is the number of weights in previous layer).
This doesnt solve but reduces vanishing/exploding gradient problem because \(z\) would take a similar distribution.- Xavier Initialization: assumes \(\tanh\) activation; ^ uses logic above; samples from normal distribution and multiplies by \(\dfrac{1}{\sqrt{n}}\).
- If ReLU activation, it turns out to be better to make variance \(\propto \dfrac{2}{n}\) instead.
- Initializing NN:
- Training:
- The Bias Parameter:
- Failures of Neural Networks:
- Bayesian Deep Learning:
- Uncertainty in deep learning,
- Applications of Bayesian deep learning,
- Probabilistic deep models (such as extensions and application of Bayesian neural networks),
- Deep probabilistic models (such as hierarchical Bayesian models and their applications),
- Generative deep models (such as variational autoencoders),
- Information theory in deep learning,
- Deep ensemble uncertainty,
- NTK and Bayesian modeling,
- Connections between NNs and GPs,
- Incorporating explicit prior knowledge in deep learning (such as posterior regularisation with logic rules),
- Approximate inference for Bayesian deep learning (such as variational Bayes / expectation propagation / etc. in Bayesian neural networks),
- Scalable MCMC inference in Bayesian deep models,
- Deep recognition models for variational inference (amortised inference),
- Bayesian deep reinforcement learning,
- Deep learning with small data,
- Deep learning in Bayesian modelling,
- Probabilistic semi-supervised learning techniques,
- Active learning and Bayesian optimisation for experimental design,
- Kernel methods in Bayesian deep learning,
- Implicit inference,
- Applying non-parametric methods, one-shot learning, and Bayesian deep learning in general.
- Complexity: