nips nips2008 nips2008-178 nips2008-178-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Jooseuk Kim, Clayton Scott
Abstract: We provide statistical performance guarantees for a recently introduced kernel classiﬁer that optimizes the L2 or integrated squared error (ISE) of a difference of densities. The classiﬁer is similar to a support vector machine (SVM) in that it is the solution of a quadratic program and yields a sparse classiﬁer. Unlike SVMs, however, the L2 kernel classiﬁer does not involve a regularization parameter. We prove a distribution free concentration inequality for a cross-validation based estimate of the ISE, and apply this result to deduce an oracle inequality and consistency of the classiﬁer on the sense of both ISE and probability of error. Our results also specialize to give performance guarantees for an existing method of L2 kernel density estimation. 1
[1] B. Sch¨ lkopf and A. J. Smola, Learning with Kernels, MIT Press, Cambridge, MA, 2002. o
[2] C. Cortes and V. Vapnik, “Support-vector networks,” Machine Learning, vol. 20, no. 3, pp. 273–297, 1995.
[3] J. Kim and C. Scott, “Kernel classiﬁcation via integrated squared error,” IEEE Workshop on Statistical Signal Processing, August 2007.
[4] D. Kim, Least Squares Mixture Decomposition Estimation, unpublished doctoral dissertation, Dept. of Statistics, Virginia Polytechnic Inst. and State Univ., 1995.
[5] Mark Girolami and Chao He, “Probability density estimation from optimally condensed data samples,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1253–1264, OCT 2003.
[6] B.A. Turlach, “Bandwidth selection in kernel density estimation: A review,” Technical Report 9317, C.O.R.E. and Institut de Statistique, Universit´ Catholique de Louvain, 1993. e
[7] David W.Scott, “Parametric statistical modeling by minimum integrated square error,” Technometrics 43, pp. 274–285, 2001.
[8] A.B. Tsybakov F. Bunea and M.H. Wegkamp, “Sparse density estimation with l1 penalties,” Proceedings of 20th Annual Conference on Learning Theory, COLT 2007, Lecture Notes in Artiﬁcial Intelligence, v4539, pp. 530– 543, 2007.
[9] Ph. Rigollet and A.B. Tsybakov, “Linear and convex aggregation of density estimators,” https:// hal.ccsd.cnrs.fr/ccsd-00068216, 2004.
[10] Robert Jenssen, Deniz Erdogmus, Jose C.Principe, and Torbjørn Eltoft, “Towards a uniﬁcation of information theoretic learning and kernel method,” in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP2004), Sao Luis, Brazil.
[11] Peter Hall and Matthew P.Wand, “On nonparametric discrimination using density differeces,” Biometrika, vol. 75, no. 3, pp. 541–547, Sept 1988.
[12] P. Meinicke, T. Twellmann, and H. Ritter, “Discriminative densities from maximum contrast estimation,” in Advances in Neural Information Proceeding Systems 15, Vancouver, Canada, 2002, pp. 985–992.
[13] M. Di Marzio and C.C. Taylor, “Kernel density classiﬁcation and boosting: an l2 analysis,” Statistics and Computing, vol. 15, pp. 113–123(11), April 2005.
[14] E. Lehmann, Testing statistical hypotheses, Wiley, New York, 1986.
[15] M.P. Wand and M.C. Jones, Kernel Smoothing, Chapman & Hall, 1995.
[16] L. Devroye and G. Lugosi, “Combinatorial methods in density estimation,” 2001.
[17] Charles T. Wolverton and Terry J. Wagner, “Asymptotically optimal discriminant fucntions for pattern classiﬁcation,” IEEE Trans. Info. Theory, vol. 15, no. 2, pp. 258–265, Mar 1969. 8


Games and learning go hand in hand. Children learn social interaction, communication, and even motor skills through playing. Remember, Piaget and early learning theorists broke learning down into formal and informal actions. Play is very much in the informal category, with school in the formal setting. Lately, the gamification movement has pushed to make formal instruction more like a game; emulating game mechanics in learning can have positive effects on overall understanding, engagement with, and recall of information.
I have to admit, I’ve been apprehensive of gamification due to poor implementation and a shallow approach focused on rote instruction disguised as games. Chris Hesselbein of IGNITEducation pointed me to an article by Joey Lee and Jessica Hammer (2011) in which they define “gamification” as “the use of game mechanics, dynamics, and frameworks to promote desired behaviors.” Thin slices – like badging – have made their way from business (FourSquare, etc) into the classroom (ClassBadges, Class Dojo). Specifically, Lee and Hammer note that gamers “recognize the value in extended practice,” develop persistence, and hone problem-solving techniques. However, they argue that “intuition” has brought basic game mechanics into schools, but a deeper look is necessary.
By harnessing the innate power of games, you can certainly begin to introduce the concepts of CT in a safe, supportive environment. In particular, Cognitive games ask players to “explore through active experimentation and discovery,” (Lee & Hammer 2011). In essence, experiment until you get it right. This approach – as in LightBot – is very effective for pushing students through the computational steps.
I’m not going to dive deep into each of the ideas within Computational Thinking, but rather look at the game LightBot and how it relates to each component.
Symbols and Abstraction – All games involve abstraction. in LightBot, you give commands through simple glyphs. Your mind has to consider each command and visualize what the robot will do before making decisions. Barr & Stephensen (2011) note that “students are not tool users, but tool builders,” and LightBot gives students the tools necessary to build a working solution from nothing.
Decomposition – When I played the game through, I found that breaking each board down into straight runs helped me find a working solution. Corners were where I made mistakes, so working up to each corner helped me solve chunks in order to find a solution for the whole. Grover & Pea (2013) point out that a core idea of CT is “thinking like a computer scientist” to solve a problem. Thinking through dependencies before you can move in another direction is an invaluable skill in coding and something that computer scientists (or even hobbyists) learn very quickly to solve problems.
Efficiency – Segueing in from decomposition, efficient code is the goal. Physical limitations – like storage space or RAM – are present, but there is a sense of pride when you not only solve a problem, but when you solve it well. I read StackOverflow regularly for coding help, and it never ceases to amaze me at how tenacious some discussions get when users are debating the most elegant way to solve a problem. This also hints back to two main questions: “What can humans do better than computers? What can computers do better than humans?” (Wing 2006). By thinking through efficient and elegant solutions, my program will be that much better at doing its job.
Debugging – Depending on your personality, this is every programmer’s favorite or most loathed word. Debugging can be as complex as a restructure of code or as simple as finding a missing semicolon. Iteration and close reading are key in this process. It also requires that we think through what the program should be doing and test it against what it is doing to find clues. In fact, debugging alone combines all other aspects of CT as a capstone to any project. Grover & Pea (2013) note that there has been some research exploration into the idea of debugging as assessment because of the myriad cognitive tasks taking place parallel to one another.
Barr, V., & Stephenson, C. (2011). Bringing Computational Thinking to K-12: What is Involved and What is the Role of the Computer Science Education Community? ACM Inroads, 2(1), 48-54.
Grover, S., & Pea, R. (2013). Computational Thinking in K–12 A Review of the State of the Field. Educational Researcher, 42(1), 38-43.
Lee, J. J. & Hammer, J. (2011). Gamification in Education: What, How, Why Bother? Academic Exchange Quarterly, 15(2).
Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.
Written on September 11th, 2014 by Brian Bennett Categorized in: CEP891 Teaching
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Gecode::MiniModel::BoolRel Class Reference
#include <minimodel.hh>
Detailed Description
Boolean relations.
Definition at line 387 of file minimodel.hh.
Public Member Functions | |
| BoolRel (const BoolExpr &e, bool t) | |
| Constructor. | |
| void | post (Space *home) const |
| Post propagators for relation. |
Constructor & Destructor Documentation
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Constructor.
Definition at line 31 of file bool-rel.icc. |
Member Function Documentation
|
|
Post propagators for relation.
Definition at line 35 of file bool-rel.icc. |
The documentation for this class was generated from the following files:
- gecode/minimodel.hh (Revision: 3579)
- gecode/minimodel/bool-rel.icc (Revision: 3513)


This is a PWA. It can be used offline, it does not communicate with any servers. All images and photos stay on your machine, everything is done in your browser. Source code is available on GitHub.


Conceptual Background
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M
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CPI = - cyc/instr
Clock = - GHz
Performance Calculation for M
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IC = - instr
CPI = - cyc/instr
Clock = - GHz


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(videoId: String, title: Option[String] = None)(implicit messages: Messages)


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Amanitas - A. muscaria & Green Fairy Mixture (Alcohol, Wormwood, Kava, Lagochilus inebrians & Cannabis)
'VERY green fairy?'
(an ethyl alcohol based concentrated tincture)
Uses, sleep aid, local anesthetic, and morning to mid-day recreational narcotic.
WHAT'S IN IT???
Wormwood 10x resin (3 grams)
Kavalactone 84% (10 grams paste extract)
Lagochilus inebrians (intoxicating mint, AKA turkistan mint)
Tetrahydracannabinol (strains vary, I used 3.7 grams of very potent buds that packed quite a physical body stone. More (or less) certainly could have been an order, but I wished to focus on the offerings from the other constituents. I wanted a good balance and I think I've achieved that. More trials to come to test for additional or replacement synergies and potentiators. So far so good, I'm fortunate to have pursued this and discovered what I think could have a focused range of medicinal value to enlightened social circles.
ONSET: 1-5 seconds
PEEK: Varies with strain of MJ used, generally 30-45 minutes
DURATION: Effects gradually and gently let me come down without any ill feelings, or anxiety.
I'll start peeking as soon as I swallow the tincture, it comes on in an instant, and could be compared to being slightly drunk. Lightweights and non-drinkers will notice this considerably more than after work or regular drinkers. Also, effects similar in (partial) ways to opium.
This is (probably) not going to be your new favorite thing to get 'messed up' on as the effects are not as strong as most of the rec. drugs out there. What it is, however, seems to be up to the user, whatever his/her needs may be. Certainly worth exploration IMHO. For me it's a highly entertaining way to enhance a boring afternoon, and my seemingly incurable insomnia seemed to be curbed very effectively.
TRIP REPORT
Mushrooms used are amanitas muscaria, washington grade A++ (prime harvest time-all caps)
First, my test dosings:
.4 grams of amanitas muscaria, eaten.
.2 grams wormwood 10x (resin) eaten
.1 grams wormwood 10x (resin) smoked
2 capsules full of kavalactone 84% paste extract (about 7x suggested dose)
one (regular sized) lagochilus inebrians cigarette
didn't need to test the MJ, but have not yet smoked any
To my surprise, I was very aware that I had taken something. My first time with amanitas so I had no basis for comparison, but I rarely notice any changes from test dosing. MJ time. Now there’s something.
After a mind opening (very clear) 'mini-trip' while sitting outside watching the trees in the wind, I found myself pleasantly tired and able to rest my thoughts (rare for me). I soon found a couch and was out for three to five hours in a deep sleep. I don't think any one of these substances by themselves were capable of this, though I have no real basis to put amanitas in that category, just seems illogical that others aren't 'passing out' from unheard of miniscule amounts of shrooms, and I can handle my kavalactone just fine, wasn't that (alone) for sure.
Shortly after I awoke, I decided I was ready. I ate a half ounce in streched intervals spanning several hours. Dried tangerines work wonders for the bad taste btw. I 'slurped' approximately a half fluid ounce of the VGF tincture, and very quickly started peeking on that. (*synergy smiles*) Any physical discomfort was either neutralized by the V.G.F. or it just didn't bother me. I rarely get 'sick' on anything within reason.
Things were brighter, more interesting.  It was really very entertaining to me, and probably some others as well. It felt good to laugh like that, even if I started laughing because the thing I was just laughing at wasn't funny enough to warrant such hysteria. Hahahaha.
My history with visuals is nearly non-existent. My brain chemistry must be unique. I've taken relatively large doses of high quality acid, stuff my friends were frying balls on with little to no effects. Same story with psilocybins for some reason, although (a-typically) I noticed more visual effects with psilocybin than acid. That said, here is what I saw:
These visions occurred in a split second. Though I seemed to be able to process them in my mind, and fully understand with great ease what they were. I'm talking to my buddy when suddenly, I see in great detail, a perfect 'fireplace, without the place'....um...imagine a fireplace with a peaceful flame. Now just imagine the flame itself. It seemed to be fueled [or contained] by unseen elements, and all of that I was able to discern in an instant. Very, very strange. This is unlike amything I've tried in this respect. The 'Tour De France' why??? I have no clue. I did manage to get 'something' from my experience, though anyone could find a suitable way to rationalize their experience, but I found meaning in the 3rd vision.
An empathetic P.O.V. of a very vivid terrifying loveless scene of Frankenstein's monster being cruely pursued with intent on his life, a life that he did not want nor could he change. I saw a violent mob, fire, crude weapons, and a most shocking glaze of hatred in their eyes. This vision was incredibly detailed and left nothing to 'wonder' about what just happened.
A time loop was experienced briefly: my buddy asked me a question, I was about to answer confidently, when he asked it again. I was about to answer confidently, when he asked it again. I was about to answer confidently, when he asked it again. I was about to...(see where this is going?) Glad this part only lasted a seemingly short time and did not re-occur. Well not exactly.
Physical displacement was evident to my field of perception. My buddy was talking to me, when he'd suddenly 'jump' about 1-2feet to the left (this happened three times, always to the left). I knew immediately that he could not have moved that fast or fluently, and when I asked, he confirmed my suspicions by sayin' 'Wwhaaaat duuuuude?'
Overall a shining experience, due in big part to being around my family and friends on my B-day, and just having a great weekend. And though I probably got the wrong message, if there was one to 'get' in the first place, it is one that can be applied to my life and hopefully for the betterment of myself and all included.
Aftereffects. In the morning I felt great and was excited as to what transpired, and that I could remember it!  It could have been my blood/sugar or any combination of things. Too many variables that I did not consider in regards to this. Once I ate, and drank lots of water I started feeling 'normal' (or close to normal) again.
The sleepy effects associated with amanitas muscaria (for me) came on without warning, and I was very quickly out cold seconds after I felt drowsy. Lucky that I was at home. Perhaps I missed a full blown trip. Perhaps I was supposed to. Although mine was a good trip, I don't plan to revisit, I feel satisfied with my experience and will let it rest as long as it's content with doing so.
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.


This is a comma separated list of Ant-style GLOB paths (relative to workspace root) of source or binary files.
Ex: src/main/java/**/*.java or bin/**/*.class.
Any files matching the supplied paths will be included in the zip sent to Code Dx.
For some information about the Ant GLOB format look here.


All?
Returns true if everything in the block returns true.
["hi","bye","cry"].all?{|word| word.length == 3} #returns true
["hi","bye","cry"].all?{|word| word.length == 3} #returns false
Any?
Returns true if anything in the block returns true.
["hi","bye","cry","andria"].any?{|word| word.length == 6} #returns true
["hi","bye","my"].any?{|word| word.length == 6} #returns false
Collect / Map
Returns a new array with the result of the running block, once for every element.(See also .map)(Both map and collect have destructive versions !)
["cat","bat","rat"].collect{|word| word * 2}
#returns ["catcat", "batbat", "ratrat"]
[1,2,3,4,5].map!{|integer| integer * 5}
#returns [5,10,15,20,25]
Count
Count counts how many times an object is in the enumberable, or give it a block and it will tell you how many times the block returns true.
["fat","rat","sat"].count{|word| word.length == 3} #returns 3
["tat","eat","crap"].count{|word| word.length == 3} #returns 2
["jon","con","long"].count{|word| word == "con"} #returns 1
Detect
Detect returns the first object that is found to be true and if it is not found it returns nil.
["cats","bat","mat"].detect{|word| word.length == 3} #returns bat
["cat","bat","hats"].detect{|word| word.length == 5} #returns nil
Each_Slice
Itterate the given block, it slices up the enumerable and passes the slices into the block. It passes an array of values with a length = to the arguement.
return_array = []
["cat","bat","sat","rack","fat","andria"].each_slice(2){|words| return_array << (words[0] + words[1])}
#returns nil, but adds values to return_array["catbat","satrack","fatandria"]
Each_With_Index
Each_with_index itterates over an enumerable, but passes in a count parameter that increments by one each time.
array = []
["cat","bat","pat"].each_with_index{|word, count| word.length + count}
#array = [3,4,5]
["cat","bat","pats"].each_with_index{|word, count| array << word << count}
#array = [cat,0,bat,1,pats,2]
Inject
Combines all elements of enum by applying a binary operation, specified by a block or a symbol that names a method or operator.
["fat","cat","bat"].inject(:+)
#returns "fatcatbat"
Select
Returns an array containing all elements of the enumerator for which the block returns a true value.
["cat","bats","mat","rats"].select{|word| word.length == 4}
#array = ["bats","rats"]
["cat","bat","hats"].select{|word| word == "bat"}
#array = ["bat"]


MIDNIGHT IN THE GARDEN OF GOOD AND EVIL A film review by Andrew Hicks Copyright 1997 by Andrew Hicks
(1997) ***1/2 (out of four)
Clint Eastwood, in his ripe old age, is cashing one talent in for another. MIDNIGHT IN THE GARDEN OF GOOD AND EVIL is an Eastwood-directed film Clint isn't even in, and it's damn good. Adapted from a best-selling John Berendt novel based on true events, this movie is set in the bizarre Georgia town of Savannah, where people walk invisible dogs and attach horseflies to their head. And that's just the mayor.
As director and producer, Eastwood contributes a self- indulgent but very competent 150 minutes, neatly balancing drama, suspense and humor. Like all great movies, MIDNIGHT IN THE GARDEN has a lot of funny moments that spring from the characters themselves, and not from some contrived, juvenile intrusion. The acting, from big-time stars John Cusack and Kevin Spacey, is as good as you'd expect, but it's the supporting stable that gives the movie its offbeat charm.
Cusack plays a free-lance reporter sent to Savannah to write a fluff story for Town & Country magazine about one of eccentric millionaire Spacey's parties. Lots of food, beverages and gunplay. Yes, an employee of Spacey's has a huge argument in front of Cusack and later turns up dead. It seems like a simple matter of self- defense -- the guy threatened Spacey, shot at him, missed, then Spacey took him out -- but being a movie, there's much more to it than that, and Cusack decides to stay in town and write a book about the murder, a book which will eventually become a movie he will star in. The weird circle of entertainment.
This is where the stable of supporting characters comes in. There's the requisite sexy woman (Alison "Nepotist's Daughter" Eastwood), the strange piano player, the voodoo woman and the transvestite. Miss Chablis deserves a paragraph of his/her own, as the stealer of every scene she appears in -- what would this movie be without the Castilian scene and her testimony? Chablis, playing herself, is five times funnier than reigning drag queen RuPaul, but never seems exploited as the movie's comic relief or out of place in a basically serious movie.
There are also a fair share of courtroom scenes, which these days almost never seem welcome in a movie, but even here Clint manages to keep the movie fascinating. Certainly the characterizations of the judge and Spacey's lawyer both help immensely, as does having the fly-guy as the jury's foreman. It's here we realize the case boils down to an indictment of Spacey's homosexuality.
MIDNIGHT IN THE GARDEN OF GOOD AND EVIL isn't a classic, but it is one of the better celebrity-directed, true-story best-seller adaptations out there. Likewise, no one from this movie will be getting any Oscar nominations, but the performances are all great. In fact, I'd almost recommend that the Academy add a Best Supporting Transvestite category.
--
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The salary displayed above is derived from about 20,000 real answers from the 2019 State of JavaScript survey. That being said, sample size, regional difference, survey bias, local cost of living, gender, race, and other factors contributing to an engineer's salary will create a large margin of error.
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Long ago beyond the stars a civilization rose from dust and puddles to spread the gospel of “agile software development” across many worlds. Over time these worlds diverged into two distinct tribes, known as “Team A” and “Team B” (for they were truly unimaginative beings in the ways of names). Both tribes prospered, delivering software throughout the galaxy, but over many generations Team A grew to believe the source of their success was a mysterious force known as “Story Points”. Team A evolved an elaborate ritual that they performed during their traditional bi-weekly gatherings known as “Sprint Planning”. Team A believed these rituals allowed them to accurately predict the future. Abandoning the process of deep thought and discussion, Team A eventually focused their entire development process on these “points”, which for some reason existed only in quantities of 1, 2, 3, 5, and (very rarely) 8.
While both tribes continued to ship software, fealty to this numeric master began to visibly distort Team A’s demeanor and appearance until travelers from other galaxies could easily tell which of the two tribes they had encountered. Those from Team A came to be known as victims of "Fibonacci’s Curse".

Timepoint 1173b-2.2c: The Plannening
Behold! On our view-screens we see Team A and Team B, at the beginning of Sprint 1. Unaware of each other, both teams review prioritized backlogs, discussing each story. Through various methods (Planning Poker, Dev Manager assignment, and PM cajoling to ‘just give me a number!’), Team A assigns point values to each. On their world, Team B discusses the challenges and goals of each story, but no points are assigned. Eventually both teams commit to a set of stories for the sprint. Team A notes that these stories add up to a total of 20 points. End Transmission.
Timepoint 1173b-6.3a: Nailed It
The view-screens brighten as both teams gather in large conference rooms for end-of-sprint demos and management review. Both teams project slides with identical lists of stories completed during the sprint. After demonstrating the new functionality, Team A moves to a second slide with “Target: 20 points / Completed: 22 points” under a bright green heading of “Sprint Status: Success!” Team B has no additional slide, as their culture has no notion or need of such things. Both teams are congratulated for a job well done.
Timepoint 1173b-6.8d: The Infallible Point System
It is the next day, and the teams are seated for Sprint 2 planning. While both conversations sound similar, Team A focuses on whether each story is worth 1, 2, 3, or 5 points, while Team B spends all their time discussing design ideas and risk factors. After Team A finishes their routine, they wrap up quickly by choosing the top 22 points (based on their “velocity” in Sprint 1) as their goal. In contrast, Team B reviews the data and opinions from each team member to reach consensus on which stories are achievable during the sprint. The view-screens fill with static and go dark...
Timepoint 1173c-1.2a: A-Point-alypse Now
2 weeks of frenzied activity fly by, and both teams gather in conference rooms for their respective reviews. Again, both teams display identical lists of completed stories and perform impressive demos. But the mood for Team A is somber, and somewhere in the distance a dog-like creature barks. For on Team A’s second slide stand the words “Target: 22 points / Completed: 15 points”, under a red heading of “Sprint Status: Failure”. The team is politely interrogated by disappointed managers as to what went wrong, and encouraged to focus on getting back up to at least 20 points in the next sprint. One reviewer mentions his team of similar size completed 28 points this sprint, and is reminded that story points should only be used to measure performance of the same team across multiple sprints. The team shuffles offstage for a 2 hour retrospective on ways to improve velocity. In contrast, the faces of Team B beam with pride and excitement for their accomplishments beneath 3 mighty suns. They are thanked for their efforts, asked about a few details and given some ideas and recommendations, then head out to brainstorm additional design improvements for the next sprint.
Timepoint 1173c-9.4f: All the world’s indeed a stage
With a crackle and a pop 14 more days of coding love zoom by and we are back in the large conference rooms. Both teams again display identical lists of completed stories and perform demos. But Team A’s second slide reveals a change! “Target: 22 points / Result: 30 points” below a green “Sprint Status: Success!” Team A is congratulated for the “big improvement” and encouraged to set a goal of 28 points for the next sprint to keep the momentum going. Meanwhile, a pleased Team B is again thanked for their hard work, asked some questions and given some ideas. End final transmission, view-screens flash once and go dark.
Epilogue
Out of the darkness both view-screens suddenly sputter and spark back to life and we gaze in mute wonder as the next sprint unfolds in front of our eyes. Both teams again complete identical lists of stories, but despite this the perception is that Team A has “fallen short”, completing only 20 of their 28 point Sprint 4 plan. The demoralization, speeches, and retros of the previous “Failed” sprints are repeated. On their world, Team B once again demonstrates their work, is asked to explain a few details and given some ideas, and keeps on working enthusiastically towards the next release.
Conclusion
Story points are nothing more than project management theater. We go through the motions thinking they give us predictability and control, but this is an illusion. Yes, many planning sessions where points are assigned do often include productive conversations about each story. And sometimes the list of stories we feel we can accomplish based on our conversations matches the number of points our past ‘velocity’ predicts. But often it doesn’t.
When points become the target and unit of progress rather than actual value created, everyone loses.
In the saga above, despite completing identical lists of new features each sprint, each team is judged completely differently - Team B on the merits of their actual deliverables, and Team A on their ability to pick a number. But story points are mostly arbitrary - they depend as much on how long we’ve all been stuck in the meeting and the day’s weather as on the actual software facts on the ground.
The result? Sprints that end with fantastic new functionality but fewer ‘points’ than expected are called failures, while sprints with limited real gains but an ‘increased velocity’ are hailed as victories. Enough of this dark ritual, this curse. Our guides shall be thoughtful words, not magic numbers. Let us rise and reclaim our ancient power. There has been an awakening...


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Charming Chalet Style 3 Bath House on Lake $1450 / 3br - 1700ft² - (Pattison Lake) pic map
Bellevue 3+ Bedroom Rental Homes $2200 and up $2200 / 3br - (Bellevue) map
Kirkland 3 Bedroom 2 Bath $2250 and up** $2250 / 3br - (Kirkland) map
Bothell 3+ Bedroom Homes For Rent $1850 and up $1850 / 3br - (Bothell/Mill Creek ) map
Mercer Island 3 Bedroom Rental Homes $2750 and up $2750 / 3br - (Mercer Island) map
Sammamish 3 Bedroom Rental Homes $2000 and up $2000 / 3br - (Sammamish) map
Issaquah 3 Bedroom Rental Homes $2000 and up $2000 / 3br - (Issaquah) map
Ballard Huge 2br plus bonus Dining Room ( newly renovated ) $1450 / 2br - 1050ft² - (Ballard, Crown Hill, ) pic map
INTERNET AND UTILITES INCLUDED $1000 / 2br - 1000ft² - (north tacoma) pic map
3 Bedroom 1.75 bath off South Bay Rd $1375 / 3br - 1671ft² - (NE Olympia) pic map
3bedroom townhouse (duplex) Eastgate (Bellevue) $2100 / 3br - 1500ft² - (Bellevue) pic map
Rental property in Lovely Neighborhood Renting Right Away* $1100 / 3br - 1500ft² - (Renton) pic
Rent to own 4 bed 2 Bath Split level Ranch $338 / 8br - (seattle-tacoma) pic map
NICE 4 BEDROOM HOME $1435 $1435 / 4br - 2034ft² - (SPANAWAY) pic map
2 BATHRMS RENT TO OWN $352 / 6br - (seattle-tacoma) pic map
Northgate Home for Good Renter $890 / 2br - 900ft² - (Seattle) pic
===========>RENT TO OWN (Good or Bad Credit) $164 / 3br - (seattle-tacoma) pic map
RENT TO OWN! 5% or 10% Percent Down! $316 / 3br - (seattle-tacoma) pic map
Queen Anne 2 Bedroom Condo $1575 / 2br - (Seattle) pic map
Mobile Home. Rent to own. 0% Financing. $564 / 5br - (seattle-tacoma) pic map
No Banks! Bad Credit is OK! Rent to Own Nice 3BR Home! $385 / 8br - (seattle-tacoma) pic map
Great Family Home in Eagle Ridge $1450 / 4br - 2000ft² - (Sultan) pic map
More Space For The Money! 3 Bed 2 Bath Rent Or Option To Own! $773 / 2br - (seattle-tacoma) pic map
3 bedrooms 1.5 bathrooms cheaper to rent to own with this nice house C $354 / 3br - (seattle-tacoma) pic map
Your brand new 3 bedroom 2.5 bathroom home! $1075 / 3br - 1225ft² - (Tumwater) pic
Newer Sammamish Pine Lake House for rent, walk to school $3400 / 4br - 3450ft² - (Sammamish pine lake) pic map
Queen Anne - 3 bathrooms! $2650 / 3br - (Queen Anne) pic
Queen Anne Bungalow $2650 / 2br - (Queen Anne) pic
View Home Rent $2250 / 3br - 2003ft² - (NE Tacoma) pic map
One of a kind apt. Great area to live in!!Rent*To Own! $271 / 5br - (seattle-tacoma) pic map
Property in Tumwater available immediately! $1050 / 3br - 1350ft² - (Tumwater) pic
WHY RENT WHEN YOU CAN BUY? $2300 / 4br - 2300ft² - (Silver Firs) pic map
/7 Bathroom/ New remodeled House $2600 / 7br - (/Shoreline /Richman) pic
manager special 2Br in Lakewood $725 / 2br - (Lakewood) map
Adorable updated cottage 3 bd 2 bath $1275 / 3br - 1550ft² - (Lakewood) map
Great 2010 built rental in Lakeland Hills $2100 / 4br - 2300ft² - (Lakeland Hills, Auburn) pic map
4 bed rm, 2.5 ba, Redmond, Microsoft, Bellevue $2700 / 4br - 2940ft² - (Redmond, Microsoft) pic map
4 bed, 2.5 bath, 2,546 sq. ft. $1575 / 4br - 2546ft² - (spanaway) pic map
4 bed, 2.5 bath, 1,936 sq. ft. $1540 / 4br - 1936ft² - (puyallup) pic map
4 bed, 3 bath, 2,370 sq. ft. $1800 / 4br - 2370ft² - (puyallup) pic map
4 bed, 2.5 bath, 2,234 sq. ft $1725 / 4br - 2234ft² - (spanaway) pic map
4 bed, 2.5 bath, 1,994 sq. ft. $1495 / 4br - 1994ft² - (spanaway) pic map
4 bed, 2.5 bath, 1,872 sq. ft. $1495 / 4br - 1872ft² - (tacoma) pic map
4 bed, 2.5 bath, 2,098 sq. ft. $1495 / 4br - 2098ft² - (tacoma) pic map
3 bedroom house $1190 / 3br - 1200ft² - (1502 Pine St ) pic map
We Love Pets!!!!!!!!!!!!!!!!!!!! Very Large Yard w/ Fenced Area $1495 / 2br - (Mill Creek - Martha Lake) pic map
Large townhouse w/garage/2 MASTER BDRMS/2 bdrm 2.5 ba/Large Wash/dryr $1195 / 2br - 1300ft² - (Everett, Boeing, South Everett) pic map
*****Pets!!! Pets!!! Pets!!!*****Large Kitchen / 4-Plex - Pet Friendly $1495 / 2br - (Mill Creek, North Bothell, Lynnwood) pic map
Elegantly Furnished 4 Bedroom House $1400 / 4br - (spanaway) pic map
Beautiful rental in Lakeland Hills (Built in 2010) $2100 / 4br - 2300ft² - (Lakeland Hills, Auburn) pic map
Duplex for rent $950 / 2br - 750ft² - (1771 19th Ave S. Seattle WA 98144 ) map
Very cute, private home for rent in Federal Way----available late Aug. $1600 / 3br - 1390ft² - (Federal Way) pic
Quite MIL 2 Bedroom Unit close to Parks/Mukilteo $980 / 2br - 1100ft² - pic map
Classic 2 Bedroom-Beautiful View- W/D- Parking & MORE! $1650 / 2br - 700ft² - (Eastlake/Lake Union) pic map
Apartment for sublease $1235 / 2br - map
1938 3br hard wood floors fenced yard, good neighbors $1300 / 3br - 1900ft² - (59th and Pacific Ave) pic map
2nd floor apartment close to beach $565 / 2br - 1000ft² - (OCEAN SHORES) pic map
Condo near Lake Sammamish and Microsoft $1780 / 2br - 1164ft² - pic
2 mins to Microsoft $1700 / 3br - (BELLEVUE/REDMOND) pic map
South Marysville 4 Bedrooms 2.5 Baths Duplex OPEN HOUSE $1350 / 4br - 1450ft² - (Marysville) pic map
Maple Valley Townhome $1450 / 2br - 910ft² - (maple valley) pic map
Trailer available - rent to own - 2br/1ba $350 / 6br - (seattle-tacoma) pic map
VIEW! LAKE MOUNTAIN CITY 2 BR/Plus Office $2795 / 2br - (Mercer Island) map
Boulevard Condo - Kirkland $2100 / 2br - 1100ft² - (375 Kirkland Ave) pic map
Phinney Ridge duplex Recently updated Interior $1495 / 2br - 1200ft² - (411 B N. 46th St. Sea., WA 98103) pic map
Beautiful Yelm Home $1450 / 4br - 2078ft² - (Yelm) map
Stunning home with spa-like master bath and great schools! $2895 / 4br - 3054ft² - (Snohomish/Glacier Peak) pic map
Fabulous home in Bothell with huge entertaining deck and greenbelt! $2800 / 4br - 2982ft² - (Bothell/Canyon Park) pic map
Amazing home with stunning views in gated community! $3500 / 4br - 4204ft² - (Snohomish) pic map
Lynnwood (Superb Location) split level home, 3BR/2 bath plus bonus/rec $1950 / 3br - 1750ft² - (lynnwood wa) pic map
three bedroom two bath house $1275 / 3br - 1200ft² - (s. seattle) pic map
Spacious view home in Ballard $4850 / 4br - 3200ft² - (Sunset Hill, Ballard) pic map
Beautiful Bellevue house next to Microsoft Main Campus--3BR 2800sqft $2900 / 3br - 2800ft² - pic
Amazing lake front home for lease on Pine Lake $3000 / 4br - 2000ft² - (Sammamish) pic
Single-Family Home in Tacoma $1400 / 4br - 1380ft² - pic map
Water View House $1999 / 3br - 1800ft² - (Tacoma) pic map
Single Family Home in Great Neighborhood $1700 / 3br - 1510ft² - (Kirkland) pic
Quiet Duplex, Bright n Sunny w/Atrium $1095 / 2br - (Edmonds, Lynnwood) map
Fabulous Large Townhouse Quiet end unit $1450 / 2br - (EDMONDS - South, Shoreline, Lynnwood) map
Views...Views...Views... $3995 / 3br - 3160ft² - (Richmond Beach) pic
Move-in today, 5-beds, 3 bath, sunny, brand-new $1699 / 5br - 2000ft² - (3520, preston st NE) pic map
2bd 1.5ba townhouse condo with large kitchen $1650 / 2br - (14002 SE 6th St Bellevue) pic map
Don't miss out on this 3 bedrooms! HOLD IT TODAY for only $99! $1479 / 3br - 1300ft² - (Kent, WA.) pic map
Want a Leisure Life? Come check out our Amenities! $1369 / 2br - 1208ft² - (Kent, WA) pic map
Modern House in Enatai $3000 / 3br - (Bellevue) pic map
Rent - Jubilee @ Hawks Prairie / Adult Community 55+ $1500 / 2br - 1450ft² - (Olympia) pic map
Spacious Townhouse near Microsoft $2695 / 4br - 2630ft² - (Redmond, Bellevue) pic map
Two bedroom for the eccentric taste $995 / 2br - (South Downtown/Pioneer Square/Chinatown) pic map
Available now: Great Townhouse w/Fireplace in Puyallup $875 / 2br - 1000ft² - (Puyallup) pic map
1910 Craftsman for rent $900 / 2br - (3619 E Spokane St, Tacoma) map
1st time 4 rent - 2940ft2-single family house-Sammamish $3200 / 4br - 2940ft² - (Sammamish) pic map
Very Inviting Dupont Floorplan $1495 / 3br - 1450ft² - (1507 McDonald Ave) map
Wonderful Open floorplan With High ceilings in Living $1395 / 3br - 1800ft² - (10416 95th St SW) pic map
PRE-LEASE 2x1 before it's gone! $1149 / 2br - 915ft² - (Kent) pic
Gem Heights 3BR & 2.5Bath Home - Available 8/1/14 $1700 / 3br - 1964ft² - (Puyallup/South Hill) pic map
House for Rent $4000 / 6br - 2200ft² - (University District) map
Beautifully furnished residence for Travel Nurse or other Professional $695 / 3br - 1600ft² - pic map
High end finishes, custom lighting, designer kitchen $1820 / 2br - (Theater District) pic
Available June, quiet & bright townhome $1095 / 2br - 1000ft² - (1016 S Mason) pic map
2 Bedroom 2.5 Bath Townhome $1400 / 2br - 1285ft² - (Lakeland Hills) pic map


Denly and Stokes lift England
Kiwis would rue drop chances as they kept a lid on the visitors
by Agence France-PresseHalf-centuries from Joe Denly and Ben Stokes breathed life into England which reached 241 for four at stumps after a slow start on the first day of the opening Test against New Zealand here on Thursday.
With England intent on occupying the crease as long as possible — although captain Joe Root’s stay was very brief — and New Zealand bowling tight lines, run-scoring was not a priority but the day was not without its drama.
Denly, who claimed the honours in a fascinating battle with New Zealand’s short-ball maestro Neil Wagner, fell for 74 when the second new ball was taken. Stokes, who punished Trent Boult with four boundaries off consecutive balls, including one from a dropped catch by Ross Taylor at first slip, was unbeaten on 67 with Ollie Pope on 18.


Choose theme color
57 ℉
Jessica's Birthday Party
Location
7th William St. Washington 201143
Time
7:00PM
Atendee
Chris B, Hanna J, Alen C, and 12 more


File System Processes
All programs are built from collections of system calls, and a program stack provided by the operating system called user space.
System calls
Your program User space


Array template documentation version 1.0
Once you download the Template zip folder, unzip it using any of the free services like WinRAR and make sure you have all the folders including index files, assets folder and PHP file. Now copy the template folder to your desktop for easy access and to prevent overwriting the theme files.
There are 2 different variations in this template. However, the blocks or sections of individual demos share the same layout and structure. So, you can freely use the sections of one demo in another.
You can use any of your favorite text editors like sublime, Notepad or Atom to start editing the template files.
Array Multipurpose Landing Page Template
Head section of all the pages are similar to the above displayed format. However, the stylesheets and fonts used might differ. But the basic structure is almost similar. Now, you'll only need to change/edit the following lines which show impact on the SEO.
Array Multipurpose Landing Page Template
Entire body section is divided into the following sections and the number of depends/varies for each demo(page). Listed below are the sections included in the body of Main Demo of Array Template.
Find the above code in your index/individual page and change the menu item name and link to your desired one. Repeat the same process for all pages in your theme folder carefully and save it.
Changing font-family is much simpler. Just head to the Google Fonts Collection and copy the link of your desired font and paste it in the head section by replacing the current font. However, to change/vary the font-size you got to look for it in the CSS or note the class name and give it a different size in the custom CSS file.
Add all your images you wish to use in your website to the images folder. Please avoid PNG images as they might consume more space on your servers and consume more bandwidth. Also, PNG images takes ages while uploading them to server.
If quality is a major concern i.e. if you are using photography demo, images of PNG format is a necessity. So, once again use JPG for better performance and PNG for better appearance. Its up to you.
Head to the respective class in the CSS file and look up for the background: url() line and replace the image with your own preferred image and save it. For cover images the optimal size is above 1380px and to be exact the images used in this template demo are 1400 px wide and height is above 800 px.
.hero-2 { background: linear-gradient(to right, rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0.2)), url(../images/image-bg.jpg) no-repeat center center; background-size: cover; padding: 150px 0 100px 0; }
Its almost as easy and similar to the above process. Just replace the image 'name' with you own and make sure that the path to the image is correct. Its by default like assets/images/yourimage.jpg.
After done editing your template, save it and check for any broken links or unedited sections. Make sure the images are properly formatted for the lightcase (plugin which is used to popup images) and the are linked to the same image. Now, get ready to upload your website.
When you are finished with the editing, adding your own content and other media save everything. Now, the preferred method to upload the folder to your servers is Filezilla, which is open source and pretty simple to use even by beginners.
These are the primary CSS files used for general front-end styling. Use these to customize your theme even further. All included css will be under assets/css/
All (most of) the jQuery plugins used in this themes are included in the plugins.js file. All included JavaScript falls under assets/js/
You can find the version history (changelog.txt) file on Array.zip folder or you can check changelog on theme sale page.
Once again, thank you so much for purchasing this theme. I'd be glad to help you if you have any questions relating to this theme. No guarantees, but I'll do my best to assist. If you have a more general question relating to the themes on ThemeForest, you might consider visiting the forums and asking your question in the "Item Discussion" section.
----------------------------------------------------------------------------------------- Version 1.0 - December 17rd, 2018 ----------------------------------------------------------------------------------------- -Initial Release


Story, emotion and purpose
We help transform your ideas into real world applications that will outperform your toughest competition and help you achieve your strategic goals in short period of time.
We help transform your ideas into real world applications that will outperform your toughest competition and help you achieve your strategic goals in short period of time.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis a metus ac nulla consequat aliquet id quis turpis.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis a metus ac nulla consequat aliquet id quis turpis.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis a metus ac nulla consequat aliquet id quis turpis.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
The Decorate Gatsby


{% extends "base.html" %} {% block body %}
Name: |
{{ benchmark.name }} |
Description: |
{{ benchmark.description|safe|linebreaks }} |
Type: |
{{ benchmark.benchmark_type }} |
Isolation Level: |
{{ benchmark.isolation }} |
Scale Factor: |
{{ benchmark.scalefactor }} |
# of Terminals: |
{{ benchmark.terminals }} |
Creation time: |
{{ benchmark.creation_time }} |
Configuration file: |
Download |


Functions for manipulating tetraminos and board
◆ EAST_BORDER
◆ MAX_BOARD
◆ MOVE_DOWN
◆ NORTH_BORDER
◆ SIZE
◆ SOUTH_BORDER
◆ WEST_BORDER
◆ check_eliminate_line()
| void check_eliminate_line |
( |
Tetramino * |
t, |
|
|
int * |
pos |
|
) |
| |
Check the lines where a Tetramino lands to see if a line has been completed.
- Parameters
-
| t | - Pointer to the tetramino struct |
| pos | - Pointer to the array of positions |
◆ check_for_gameover()
| bool check_for_gameover |
( |
Board * |
board | ) |
|
Checks the board current status and if the player has reached to gameover state.
- Parameters
-
| board | - Pointer to the board struct |
- Returns
- true - If the player reached game over
-
false - If the player hasn't reached the end game
◆ choose_color()
| uint16_t choose_color |
( |
int |
shape_n | ) |
|
Chooses the color of the piece according to its shape.
- Parameters
-
| shape_n | - Identifies the piece shape |
- Returns
- uint16_t - Return the color in 16-bit mode
◆ delete_board()
| void delete_board |
( |
Board * |
board | ) |
|
Deletes a board and frees the memory allocated to the struct.
- Parameters
-
| board | - Pointer to the board to be deleted |
◆ delete_tetramino()
Deletes a tetramino and frees the memory alloacted to the struct.
- Parameters
-
| t | - Pointer to the tetramino to be deleted |
◆ draw_squares()
| void draw_squares |
( |
Board * |
bd | ) |
|
Draws all squares of the board, painting it black the empty positions and non-black those who belong to tetraminos.
- Parameters
-
◆ new_board()
Creates a new board and loads initial information.
- Returns
- Board* - Returns pointer to the Board struct created
◆ new_tetramino()
Creates a new tetramino and loads initial information of the piece.
- Parameters
-
| board | - Pointer to the board |
- Returns
- Tetramino* - Returns a pointer to the Tetramino struct created
Shape number: 1- square shape (red) 2- T shape (light blue) 3- L shape (green) 4- 7 shape inverted (pink) 5- z shape inverted (orange) 6- z shape (blue) 7- | shape (yellow)
◆ update_board_after_line()
| void update_board_after_line |
( |
Board * |
bd, |
|
|
int |
position |
|
) |
| |
Updates the board after a line has been removed.
- Parameters
-
| bd | - Pointer to the board |
| position | - Position of the first square on the eliminated line |
◆ bd
◆ color [1/2]
◆ color [2/2]
◆ height
◆ positions
◆ rot
◆ shape_n
◆ sqidx
◆ width
◆ x_gini
◆ y_gini


A friend of mine found some datura growing next to the library at our college. He picked it to give to his roommate who was interested in trying it. He read the experiences online and decided not to try it. I have regular piss tests thanks to the state of Maryland, so I was bored and looking for a new drug to try. I read that datura was truly terrifying for many and for some reason I really wanted to try it. After thinking about doing it for a few days I decided on a Thursday night to eat 50 seeds.
After about 45 minutes and no effects I ate 100 more and then after 15 minutes another 100. I was getting angry that I was having no effects. I was looking for the most terrifying drug experience and nothing was happening. After another half hour I started to feel a light buzz and I found that everything felt lighter. I don't know what I was thinking or how intoxicated I actually was at that time, but I decided to eat 300 Morning Glory seeds that my friend had left over from experimenting with extracting LSA.
About 20 minutes after eating the Morning Glory I threw up, like I always do after eating morning glory. We left my friends room and went downstairs to mine and we smoked a little bit of pot and I found it impossible to use a bowl.  I couldn't stop thinking about the possibility of going to jail.
I kicked everyone out of my room and the furniture in the room appeared to be floating 3 inches off the ground. I started seeing objects appear out of the floor and ceiling and at first it was really fun. It felt like a normal LSA trip but then the effects of the datura started. The things I was seeing in the ceiling started turning into violent scenes and faces in agony. I occasionally saw blood dripping from my ceiling. It was like my ceiling turn into a Saw movie. It took about 20 minutes for me to realize that it was just a hallucination and decided to turn the lights off to stop. This made the trip fun again and I lay down in my bed and tried to relax.
I was alone now and started feeling detached from everything in the world and may have fallen asleep.
I suddenly started feeling intense anxiety for no reason and when I looked in the corner of my room I saw there was a woman there. I realized that she was a witch and I was somewhat happy to see it because I didn’t believe that it was a real theme of datura. The witch turned her head and she had no face except for yellow eyes.  Every time I looked away she looked away and after a few minutes of finding the courage to look at her again every few seconds, Her eyes turned blood red. I wanted to get out of my room but she was next to the door. I was trapped in my room because the window led to the roof where I knew I shouldn’t go onto in my condition.
I finally got up turned the lights on and ran out of my room. Fight when I got up to escape the witch that I thought was going to kill me I also felt like I had just woken up. I don't know if I was dreaming about the witch or not but either way I left my room and didn't go back for two-and-a-half hours.
I found my way outside and smoked a cigarette and when I looked at the sky the moon turned into a swastika. I was partially amazed and partially scared. When I looked away and looked back at the moon it was gone and ran when people walked by me I kept asking them if they stole the moon and if the witch in my room was trying to kill me. After walking the halls and being incredibly frightened for 2 and half hours I went back to my room to go to sleep. I wanted nothing more than to sleep the trip off and return to reality. When I turned the lights off, I immediately lay down in my bed and never looked into the witche’s corner. I eventually fell asleep and had some of the craziest dreams I've ever had. I sleep through the next day continuing to have interesting dreams and didn't feel right all day.
I will not do datura again and it really did not produce any desirable effects. My hallucinations were violence, blood, agony, witches and swastikas. It has been more than a month and I still don't think I have completely recovered mentally.
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.


Improved predictive models by indirect classification and
bagging for classification, regression and survival problems
as well as resampling based estimators of prediction error.
| Version: |
0.9-8 |
| Depends: |
R (≥ 2.10) |
| Imports: |
rpart (≥ 3.1-8), MASS, survival, nnet, class, prodlim |
| Suggests: |
mvtnorm, mlbench, TH.data |
| Published: |
2018-11-05 |
| Author: |
Andrea Peters [aut],
Torsten Hothorn [aut, cre],
Brian D. Ripley [ctb],
Terry Therneau [ctb],
Beth Atkinson [ctb] |
| Maintainer: |
Torsten Hothorn <Torsten.Hothorn at R-project.org> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: |
see file COPYRIGHTS |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Environmetrics, MachineLearning, Survival |
| CRAN checks: |
ipred results |


❝
I get knocked down, but I get up again, and you’re never gonna keep me down. Chumbawamba, 1997
This project utilizes data from the National Longitudinal Survey of Youth 1997, sponsored by the U.S. Bureau of Labor Statistics. This study was dedicated to tracking the labor market and other life experiences of American men and women. The 1997 study was chosen over the 1979 study because it is closer (and therefore more relevant) to the ages of the majority of our classmates. The 1997 study also included variables that were of interest, like respondents' cohabitation.
We utilized Pandas, Plotly, and Seaborn to explore the data and determine the needs and focus of our model. This allowed us to visualize the potential relationships between certain variables seen below. Out of this exploration, we coined the term and engineered the Longitudinal Chaos Index.
The Longitudinal Chaos Index (LCI) is a measure of the objective chaos of a subject’s love life throughout the study. The more changes in your relationship/marital status, the higher your LCI. To create the LCI feature, we looked at reported marital status over the span of the study. The specific interview question used in the study was “Respondent's marital status in this month in [1994-2016]," which was recorded every month after the subject’s fourteenth birthday. There were six possible responses:
The LCI was designed to start at zero for each subject and increase with any change to the research question response. All but two changes result in an increase by one point. The first exception is the change from “Never Married, Cohabitating” to “Married,” which we determined would not increase a subject’s chaos and therefore does not change the LCI. The second exception is the change from “Married” to “Divorced,” which increases the LCI by two points. After the survey subjects’ LCIs were calculated, we created scoring divisions to categorize LCIs into final, qualitative measurements:
After defining the LCI, we created a simple model (click to open/close the single iterator code viewer) to evaluate each variable individually and determine which variables most affected LCI. We then created a multiple linear regression model (click to open/close the model regression code viewer) to predict LCI based on life events.
Click to open/close the eleven most predictive interview questions and the adjustments made to fit our predictive model.
Then, continue below to see visualizations for the top three predictive variables.
| Rank | Year | Interview Question | Possible Responses | Model Adjustments |
|---|---|---|---|---|
| 9% | 1999 | Have you had sexual intercourse since the last interview on [date of last interview], that is, made love, had sex, or gone the way with a person of the opposite sex? |
|
Approximate equivalent to age 18 |
| 8% | 2014 | Respondent's marital status in this month [July] in 2014? |
|
Approximate equivalent to age 33 (current age for participants under age 33) |
| 7% | 2002 | Relationship of the parent figure(s)/guardian(s) in household to the youth as of the survey date? |
|
Approximate equivalent to age 21 |
| 7% | 2014 | Respondent's monthly arrest status in March 2014? (Calculated for each month beginning with the month that R turned 12.) |
|
Approximate equivalent to monthly average at age 33 (current age for participants under age 33) |
| 6% | 1997 | Delinquincy Score Index? (Scores range from 0 to 10; higher scores indicate more incidents of delinquency.) |
|
Approximate equivalent to age 16 |
| 5% | 2011 | Total respondent timing from round 15 interview (measured in seconds). This is the total interview time excluding the interviewer remarks, the locator section, and the locator questions in the household information section. |
|
Unmeasurable for predictive model, therefore excluded |
| 5% | 1998 | Substance Use Index? (Scores range from 0 to 3; higher scores indicate more instances of substance use since the date of the last interview.) |
|
Approximate equivalent to age 17; Will be determined by frequency |
| 2% | 2002 | Collapsed distance in miles between the respondent's reported address and the father's reported address? |
|
Approximate equivalent to age 22 |
| 2% | 2010 | Where 1 means disagree strongly and 7 means agree strongly, how much do you agree or disagree that the following statements describe who you are and how you act? "When I was in school, I used to break rules quite regularly." |
|
Age equivalent is irrelevant because question refers to past behavior in grade school |
| 2% | 2002 | How much of the time during the last month have you felt so down in the dumps that nothing could cheer you up? |
|
Approximate equivalent to age 21 |
| 2% | 1997 | What percent of your peers belong to a gang that does illegal activities? |
|
Approximate equivalent to age 16 |
|
|
Sorry, we predict you will have had few dating partners and will still be single.
Congratulations! We predict you will be married or cohabitating. However, happiness is not guaranteed.
Despite some hiccups, we predict you will eventually be married or cohabitating. There's light at the end of the tunnel.
Whatever you're doing, you're doing it wrong. We predict a chaotic future. You might be better off sad and alone.
People are hard to predict. Even using the comprehensive research of the NLS, we were unable to find single variables that strongly correlated with our LCI.
However, the accuracy of predictions, and the utility of the model, is increased by combining variables. Speaking broadly, rule-breaking behavior in teenage years and further removed relationships with biological parents increase the likelihood of a higher LCI. Still, the model comes with built-in weaknesses. Many of the statistics we used were challenging to measure numerically: assigning number values to “foster parents” or “single father” is somewhat arbitrary, and does not lend itself well to this type of model. Taken as a whole, our model demonstrates interesting profiles and trends within populations, but its predictive value remains unreliable.
With the rise of big data, with every move we make and click we take leaving behind digital trails across countless databases, the emergence of strong predictive trends from individual actions to life outcomes could be seized upon to dramatic effect. Facebook and Google, digital marketers, not to mention entities like the NSA, all have access to the kinds of personal information requested in the NLS, and will soon be rivaling its 20+ year span of collection. Working with the NLS, we can gain some insight into what a deep data portfolio on an individual might contain, and the type of conclusions that might be run on it.
Taken in that light, it becomes somewhat reassuring that no strong trends or ironclad predictions arose from our model. The statistical chaos of human behavior wards off any possibility of “Minority Report” style dystopias, at least for now.


§351-68 Rulemaking powers. In the performance of its functions, the commission may adopt, amend, and repeal rules and regulations, not inconsistent with this chapter, prescribing the procedures to be followed in the filing of applications and the proceedings under this chapter and such other matters as the commission deems appropriate. [L 1967, c 226, pt of §1; HRS §351-68; am L 1998, c 240, §5]
Cross References
Rulemaking, see chapter 91.


Pallite makes simple color pallates for your projects!
- Start by chosing your base color by adjusting values of red, green and blue.
- Then pick the number of shades you want in your color pallate.
- Select complementary or monochromatic to indicate how the collors are generated.
- Click "BRING ON THE COLORS"
- Et voila! Now you have a beautiful color pallate ready to use in your next project!


IP Address:
Subnet Mask:
Subnets:
Hosts:
Class:
A
B
C
Decimal
Binary
Network ID
Subnet ID
First Host
Last Host
Broadcast Address
Subnet Mask
Wildcard Mask


Price: ₹{{ orderDetails.ticket.price }}
Status: {{ orderDetails.status }}
You have: {{ timeInterval }} to make the payment
Sorry Order has is expired!


would be nice if it would look like the idea from ezek1el3000 :-P
GosuSan
ORFK wrote:
would be nice if it would look like the idea from ezek1el3000 :-P
Thats why i wrote "work in progress" behind the Link ;)
But I don't believe i will finish this today.
Have a lot of RL stuff to do, this will have to wait for the next Double-XP-Event.


java.util.Set
objects whose content types are enumerated classes. Such Set
objects
can be replaced with java.util.EnumSet
objects.
EnumSet
implementations can be much more efficient compared to
other sets, as the underlying data structure is a bit vector. Use the quick-fix to replace the initializer with a call to
EnumSet.noneOf()
. This quick-fix is not available when the type of the variable is a sub-class of Set
.
Example:
enum MyEnum { FOO, BAR; }
Set<MyEnum> enums = new HashSet<MyEnum>();
After the quick-fix is applied:
enum MyEnum { FOO, BAR; }
Set<MyEnum> enums = EnumSet.noneOf(MyEnum.class);


B. Verkin Institute for Low
Temperature Physics & Engineering of Ukrainian Academy of Sciences,
47, Nauky Ave.,
61103 Kharkov, Ukraine
Graduated from Kharkov State University in1971.
PhD Phys & Math : ILTPE, 1977.
DrSc Phys & Math: ILTPE, 1994.
Started work at ILTPE in 1971.
Associate Professor (1986-1994).
Professor (1994-2001) of Kharkov State (Karazin) University (Physical Department).
The main areas of scientific activity and theoretical investigations are: thermodynamics and kinetics of quantum crystals, 3He-4He solid solutions, atomic and molecular cryocrystals (among them two-dimensional cryocrystalline nano-systems on substrate) as well as quantum magnetic systems. Current topics of research interests are also theory of crystal lattice defects as well as acoustic and electromagnetic emission during plastic deformation of imperfect crystals. Low temperature anomalies (excessive heat) in the heat capacity of dilute solid 3He-4He mixtures with HCP structures were interpreted within polytypic model of the cryocrystal with haotic packing of the 2D crystalline planes on triangular lattice. The recent researches are devoted to solution of the He-He interaction promlem the rigorous quantum-mechanical statement.
Thermodynamics of solid helium mixtures A consistent theory was developed for description of the temperature dependences of separating helium solid solutions heat capacity at arbitrary concentrations both below and above . It was shown that at the temperature behavior of the heat capacity is completely defined by correlation effects in the impurity subsystem. The theory of density fluctuation in solid 3He-4He solutions with arbitrary concentrations was built to explain the anomalous temperature dependences of pressure experimentally observed in the helium isotopic solid solutions. Low temperature excessive heat of dilute solid 3He-4He mixtures with HCP structures has been explained within the model of crystalline polytype with random packing of the 2D crystalline planes on triangular lattice without breaking the closest packing principle. The polytype model was also applied to explain the low temperature anomalous plastic behavior of solid parahydrogen and solid argon.
Kinetics of cryocrystals The evolution of the heterophase structure of a dilute solid solution 3He in 4He was studied theoretically. Relaxation processes in solid 3He-4He solutions was shown to be controlled by the mobility of the phase boundaries, whose velocity is determined by the quantum diffusion parameters for impurity 3He in the matrix of 4He. The quantum mechanical problem of inelastic phonon scattering on a quadrupole defect (ortho-H2 pair complex in the parahydrogen matrix) was solved and interpreted. The contribution of this mechanism to the low-temperature thermal conductivity was discussed.
Thermodynamics of cryocrystals with molecular impurities. A rigorous analytic theory was developed to describe temperature and concentration dependences of the excess impurity heat capacity of dilute solid solutions of diatomic molecules in a rare gas matrix. The theory is in excellent agreement with the experiment in the wide range of temperatures and concentrations.
Magnetism of 2D 3He monolayers. Within the Heisenberg model the theoretical approach was developed to describe thermodynamic and magnetic properties of the second 3He layer solid on graphite. It was proved the pure Heisenberg behavior of 2D solid He in the ferromagnetic regime. The proposed theory is in excellent agreement with the experimental data for all the temperatures.
Dynamics and thermodynamics of two-dimensional cryocrystals. Low-temperature dynamics and thermodynamics of two-dimensional monoatomic crystals with triangular lattice was investigated theoretically. The phonon spectra and low-temperature heat capacity were calculated analytically for monolayer structures both commensurate and incommensurate with the substrate. The obtained theoretical results provide an explanation for a great variety of experimental data on the spectra of lattice excitations and thermal properties of rare gas and helium monolayers on graphite and metal substrates.
The dynamical interaction of translational and rotational degrees of freedom of a diatomic homonuclear substitutional impurity placed in 2D close-packed atomic matrix on a substrate is investigated theoretically. It is shown that the translational-rotational interaction drastically changes inertial properties of the impurity as compared to a free rotator. Namely, this interaction leads to a strong modification of the kinetic energy operator as well as to renormalization of the crystal field parameters. Such effects can be manifested in the rotational spectrum and the impurity heat capacity of the system at low temperatures.
Interatomic interaction in condensed helium phases. The unusual physical properties of helium condensed phases (essentially different for both 3He and 4He isotopes) means that quantum nature of He-He bond (especially, dynamics of spin subsystem) should be taken into account to interpret the experimentally observable properties of the helium liquid and solid. The series of our recent research is devoted to solution of the corresponding problems in a rigorous quantum-mechanical statement.
Acoustic (AE) and electromagnetic (EME) emissions during plastic deformation of solids. Sound irradiation from dynamic dislocations and dislocation ensembles. Localized states of electrons on dislocations in metals. Mechanism of electromagnetic emission from plastically deformed ionic crystals. Correlation between AE and EME in deformed ionic crystals. Effect of gamma-irradiation on AE and EME in ionic crystals.
Totalnumber of publications – over 120.


--- layout: data_model title: PDFTrailerType this_version: 1.2 ---
The PDFTrailerType captures the details of a PDF trailer.
| Field Name | Type | Description |
|---|---|---|
| Size0..1 | PositiveIntegerObjectPropertyType |
The Size field captures the total number of entries in the file's cross-reference table. |
| Prev0..1 | PositiveIntegerObjectPropertyType |
The Prev field the byte offset from the beginning of the file to the beginning of the previous cross-reference table. This is only applicable for files that have more than one cross-reference table. |
| Root0..1 | PDFIndirectObjectIDType |
The Root field captures an indirect object reference that points to the catalog dictionary for the PDF document contained in the file. |
| Encrypt0..1 | PDFDictionaryType |
The Encrypt field captures the PDF document's encryption dictionary, either through an indirect reference or embedded set of key/value pairs. |
| Info0..1 | PDFIndirectObjectIDType |
The Info field captures an indirect object reference that points to the document information dictionary. |
| ID0..1 | PDFFileIDType |
The ID field captures an array of two strings that constitutes a file identifier. |
| Last_Cross_Reference_Offset0..1 | PositiveIntegerObjectPropertyType |
The Last_Cross_Reference_Offset field captures the byte offset, relative to the beginning of the file, of the last cross-reference table contained in the file. |
| Offset0..1 | PositiveIntegerObjectPropertyType |
The Offset field specifies the offset of the trailer from the beginning of the file, in bytes. |
| Hashes0..1 | HashListType |
The Hashes field captures any hashes that were computed for the trailer. |


| Identifier | Value |
|---|---|
| $a | 0 |
| $b | 0 |
| $c | 0 |
| $d | 0 |
It's still early days, so if you encounter a bug, or wish to suggest a new feature, please file an issue here
$ $ $
Add registers on the right, and store the result in the left register
$ $ x
Add registers on the right with the value, and store the result in the left register
$ $ $
Subtract the register on the right from the one in the centre, and store the result in the left register
$
Output the value in the register specified
$
Output the value in the register specified, indicating an error
$ x
Load the value into the register specified
$ $ x
Compare the two registers, and if they're equal, jump to the line specified
$ $ x
Compare the two registers, and if they're unequal, jump to the line specified
x
Jump unconditionally to the line specified
x
Output the given value (or text)


|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| RecurrenceIterable | an iterable over date values in order. |
| RecurrenceIterator | an iterator over date values in order. |
| Class Summary | |
|---|---|
| RecurrenceIteratorFactory | for calculating the occurrences of an individual RFC 2445 RRULE or groups of RRULES, RDATES, EXRULES, and EXDATES. |
recurrence rule implementation as described at RFC 2445 section 4.3.10.
Purpose: This value type is used to identify properties that contain a recurrence rule specification.
Formal Definition: The value type is defined by the following notation:
recur = "FREQ"=freq *( ; either UNTIL or COUNT may appear in a 'recur', ; but UNTIL and COUNT MUST NOT occur in the same 'recur' ( ";" "UNTIL" "=" enddate ) / ( ";" "COUNT" "=" 1*DIGIT ) / ; the rest of these keywords are optional, ; but MUST NOT occur more than once ( ";" "INTERVAL" "=" 1*DIGIT ) / ( ";" "BYSECOND" "=" byseclist ) / ( ";" "BYMINUTE" "=" byminlist ) / ( ";" "BYHOUR" "=" byhrlist ) / ( ";" "BYDAY" "=" bywdaylist ) / ( ";" "BYMONTHDAY" "=" bymodaylist ) / ( ";" "BYYEARDAY" "=" byyrdaylist ) / ( ";" "BYWEEKNO" "=" bywknolist ) / ( ";" "BYMONTH" "=" bymolist ) / ( ";" "BYSETPOS" "=" bysplist ) / ( ";" "WKST" "=" weekday ) / ( ";" x-name "=" text ) ) freq = "SECONDLY" / "MINUTELY" / "HOURLY" / "DAILY" / "WEEKLY" / "MONTHLY" / "YEARLY" enddate = date enddate =/ date-time ;An UTC value byseclist = seconds / ( seconds *("," seconds) ) seconds = 1DIGIT / 2DIGIT ;0 to 59 byminlist = minutes / ( minutes *("," minutes) ) minutes = 1DIGIT / 2DIGIT ;0 to 59 byhrlist = hour / ( hour *("," hour) ) hour = 1DIGIT / 2DIGIT ;0 to 23 bywdaylist = weekdaynum / ( weekdaynum *("," weekdaynum) ) weekdaynum = [([plus] ordwk / minus ordwk)] weekday plus = "+" minus = "-" ordwk = 1DIGIT / 2DIGIT ;1 to 53 weekday = "SU" / "MO" / "TU" / "WE" / "TH" / "FR" / "SA" ;Corresponding to SUNDAY, MONDAY, TUESDAY, WEDNESDAY, THURSDAY, ;FRIDAY, SATURDAY and SUNDAY days of the week. bymodaylist = monthdaynum / ( monthdaynum *("," monthdaynum) ) monthdaynum = ([plus] ordmoday) / (minus ordmoday) ordmoday = 1DIGIT / 2DIGIT ;1 to 31 byyrdaylist = yeardaynum / ( yeardaynum *("," yeardaynum) ) yeardaynum = ([plus] ordyrday) / (minus ordyrday) ordyrday = 1DIGIT / 2DIGIT / 3DIGIT ;1 to 366 bywknolist = weeknum / ( weeknum *("," weeknum) ) weeknum = ([plus] ordwk) / (minus ordwk) bymolist = monthnum / ( monthnum *("," monthnum) ) monthnum = 1DIGIT / 2DIGIT ;1 to 12 bysplist = setposday / ( setposday *("," setposday) ) setposday = yeardaynum
Description: If the property permits, multiple "recur" values are specified by a COMMA character (US-ASCII decimal 44) separated list of values. The value type is a structured value consisting of a list of one or more recurrence grammar parts. Each rule part is defined by a NAME=VALUE pair. The rule parts are separated from each other by the SEMICOLON character (US-ASCII decimal 59). The rule parts are not ordered in any particular sequence. Individual rule parts MUST only be specified once.
The FREQ rule part identifies the type of recurrence rule. This rule part MUST be specified in the recurrence rule. Valid values include SECONDLY, to specify repeating events based on an interval of a second or more; MINUTELY, to specify repeating events based on an interval of a minute or more; HOURLY, to specify repeating events based on an interval of an hour or more; DAILY, to specify repeating events based on an interval of a day or more; WEEKLY, to specify repeating events based on an interval of a week or more; MONTHLY, to specify repeating events based on an interval of a month or more; and YEARLY, to specify repeating events based on an interval of a year or more.
The INTERVAL rule part contains a positive integer representing how often the recurrence rule repeats. The default value is "1", meaning every second for a SECONDLY rule, or every minute for a MINUTELY rule, every hour for an HOURLY rule, every day for a DAILY rule, every week for a WEEKLY rule, every month for a MONTHLY rule and every year for a YEARLY rule.
The UNTIL rule part defines a date-time value which bounds the recurrence rule in an inclusive manner. If the value specified by UNTIL is synchronized with the specified recurrence, this date or date-time becomes the last instance of the recurrence. If specified as a date-time value, then it MUST be specified in an UTC time format. If not present, and the COUNT rule part is also not present, the RRULE is considered to repeat forever.
The COUNT rule part defines the number of occurrences at which to range-bound the recurrence. The "DTSTART" property value, if specified, counts as the first occurrence.
The BYSECOND rule part specifies a COMMA character (US-ASCII decimal 44) separated list of seconds within a minute. Valid values are 0 to 59. The BYMINUTE rule part specifies a COMMA character (US-ASCII decimal 44) separated list of minutes within an hour. Valid values are 0 to 59. The BYHOUR rule part specifies a COMMA character (US- ASCII decimal 44) separated list of hours of the day. Valid values are 0 to 23.
The BYDAY rule part specifies a COMMA character (US-ASCII decimal 44) separated list of days of the week; MO indicates Monday; TU indicates Tuesday; WE indicates Wednesday; TH indicates Thursday; FR indicates Friday; SA indicates Saturday; SU indicates Sunday.
Each BYDAY value can also be preceded by a positive (+n) or negative (-n) integer. If present, this indicates the nth occurrence of the specific day within the MONTHLY or YEARLY RRULE. For example, within a MONTHLY rule, +1MO (or simply 1MO) represents the first Monday within the month, whereas -1MO represents the last Monday of the month. If an integer modifier is not present, it means all days of this type within the specified frequency. For example, within a MONTHLY rule, MO represents all Mondays within the month.
The BYMONTHDAY rule part specifies a COMMA character (ASCII decimal 44) separated list of days of the month. Valid values are 1 to 31 or -31 to -1. For example, -10 represents the tenth to the last day of the month.
The BYYEARDAY rule part specifies a COMMA character (US-ASCII decimal 44) separated list of days of the year. Valid values are 1 to 366 or -366 to -1. For example, -1 represents the last day of the year (December 31st) and -306 represents the 306th to the last day of the year (March 1st).
The BYWEEKNO rule part specifies a COMMA character (US-ASCII decimal 44) separated list of ordinals specifying weeks of the year. Valid values are 1 to 53 or -53 to -1. This corresponds to weeks according to week numbering as defined in [ISO 8601]. A week is defined as a seven day period, starting on the day of the week defined to be the week start (see WKST). Week number one of the calendar year is the first week which contains at least four (4) days in that calendar year. This rule part is only valid for YEARLY rules. For example, 3 represents the third week of the year.
Note: Assuming a Monday week start, week 53 can only occur when Thursday is January 1 or if it is a leap year and Wednesday is January 1.The BYMONTH rule part specifies a COMMA character (US-ASCII decimal 44) separated list of months of the year. Valid values are 1 to 12.
The WKST rule part specifies the day on which the workweek starts. Valid values are MO, TU, WE, TH, FR, SA and SU. This is significant when a WEEKLY RRULE has an interval greater than 1, and a BYDAY rule part is specified. This is also significant when in a YEARLY RRULE when a BYWEEKNO rule part is specified. The default value is MO.
The BYSETPOS rule part specifies a COMMA character (US-ASCII decimal 44) separated list of values which corresponds to the nth occurrence within the set of events specified by the rule. Valid values are 1 to 366 or -366 to -1. It MUST only be used in conjunction with another BYxxx rule part. For example "the last work day of the month" could be represented as:
RRULE:FREQ=MONTHLY;BYDAY=MO,TU,WE,TH,FR;BYSETPOS=-1
Each BYSETPOS value can include a positive (+n) or negative (-n) integer. If present, this indicates the nth occurrence of the specific occurrence within the set of events specified by the rule.
If BYxxx rule part values are found which are beyond the available scope (ie, BYMONTHDAY=30 in February), they are simply ignored.
Information, not contained in the rule, necessary to determine the various recurrence instance start time and dates are derived from the Start Time (DTSTART) entry attribute. For example, "FREQ=YEARLY;BYMONTH=1" doesn't specify a specific day within the month or a time. This information would be the same as what is specified for DTSTART.
BYxxx rule parts modify the recurrence in some manner. BYxxx rule parts for a period of time which is the same or greater than the frequency generally reduce or limit the number of occurrences of the recurrence generated. For example, "FREQ=DAILY;BYMONTH=1" reduces the number of recurrence instances from all days (if BYMONTH tag is not present) to all days in January. BYxxx rule parts for a period of time less than the frequency generally increase or expand the number of occurrences of the recurrence. For example, "FREQ=YEARLY;BYMONTH=1,2" increases the number of days within the yearly recurrence set from 1 (if BYMONTH tag is not present) to 2.
If multiple BYxxx rule parts are specified, then after evaluating the specified FREQ and INTERVAL rule parts, the BYxxx rule parts are applied to the current set of evaluated occurrences in the following order: BYMONTH, BYWEEKNO, BYYEARDAY, BYMONTHDAY, BYDAY, BYHOUR, BYMINUTE, BYSECOND and BYSETPOS; then COUNT and UNTIL are evaluated.
Here is an example of evaluating multiple BYxxx rule parts.
DTSTART;TZID=US-Eastern:19970105T083000 RRULE:FREQ=YEARLY;INTERVAL=2;BYMONTH=1;BYDAY=SU;BYHOUR=8,9; BYMINUTE=30
First, the "INTERVAL=2" would be applied to "FREQ=YEARLY" to arrive at "every other year". Then, "BYMONTH=1" would be applied to arrive at "every January, every other year". Then, "BYDAY=SU" would be applied to arrive at "every Sunday in January, every other year". Then, "BYHOUR=8,9" would be applied to arrive at "every Sunday in January at 8 AM and 9 AM, every other year". Then, "BYMINUTE=30" would be applied to arrive at "every Sunday in January at 8:30 AM and 9:30 AM, every other year". Then, lacking information from RRULE, the second is derived from DTSTART, to end up in "every Sunday in January at 8:30:00 AM and 9:30:00 AM, every other year". Similarly, if the BYMINUTE, BYHOUR, BYDAY, BYMONTHDAY or BYMONTH rule part were missing, the appropriate minute, hour, day or month would have been retrieved from the "DTSTART" property.
No additional content value encoding (i.e., BACKSLASH character encoding) is defined for this value type.
Example: The following is a rule which specifies 10 meetings which occur every other day:
FREQ=DAILY;COUNT=10;INTERVAL=2
There are other examples specified in the "RRULE" specification.
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


Ethical issues relating to the technology, your personal reflections and recommendations [Individual].
| Team Member Details | Last Name | First Name | Student ID | AUT Email ID | Personal Page Link |
|---|---|---|---|---|---|
| Team Member 1 | Garratt | Simon | 20105577 |<EMAIL_ADDRESS>| Page |
| Team Member 2 | Young | Chris | 0774797 |<EMAIL_ADDRESS>| Page |
| Team Member 3 | Wong | Raymond | 16928947 |<EMAIL_ADDRESS>| Page |
thanks to W3C for tutorial and adapted code from Style Examples
also thanks to WDN for HTML and CSS resources and any adapted code snippets from Mozilla Developer Network


Serialized Form
|
Package com.microstar.xml |
_message
java.lang.String _message
_cause
java.lang.Throwable _cause
_systemId
java.lang.String _systemId
_line
int _line
_column
int _column
contents
java.awt.Component contents
- The component contained by this dialog.
_buttonPressed
java.lang.String _buttonPressed
- The label of the button pushed to dismiss the dialog.
_doneHandleClosing
boolean _doneHandleClosing
- Indicator that we have notified of window closing.
_optionPane
javax.swing.JOptionPane _optionPane
- The pane with the buttons.
_messageArea
javax.swing.JTextArea _messageArea
- The container for messages.
_background
java.awt.Color _background
- The background color as set by setBackground().
This defaults to null, which indicates that the background
is the same as the container.
_constraints
java.awt.GridBagConstraints _constraints
- Standard constraints for use with _grid.
_entries
java.util.Map<K,V> _entries
- The hashtable of items in the query.
_grid
java.awt.GridBagLayout _grid
- Layout control.
_listeners
java.util.Vector<E> _listeners
- List of registered listeners.
_columns
int _columns
_entryPanel
javax.swing.JPanel _entryPanel
_entryScrollPane
javax.swing.JScrollPane _entryScrollPane
_height
int _height
_labels
java.util.Map<K,V> _labels
_leftPadding
java.awt.Insets _leftPadding
_messageArea
javax.swing.JTextArea _messageArea
_messageScrollPane
javax.swing.JScrollPane _messageScrollPane
_messageScrollPaneAdded
boolean _messageScrollPaneAdded
_insets
java.awt.Insets _insets
_previous
java.util.Map<K,V> _previous
_widgetsHeight
int _widgetsHeight
_width
int _width
_entryBox
javax.swing.JTextField _entryBox
_name
java.lang.String _name
_owner
Query _owner
_owner
Query _owner
_base
java.net.URI _base
_entryBox
javax.swing.JTextField _entryBox
_name
java.lang.String _name
_save
boolean _save
_startingDirectory
java.io.File _startingDirectory
_allowFiles
boolean _allowFiles
_allowDirectories
boolean _allowDirectories
_owner
Query _owner
- The owning query.
_name
java.lang.String _name
- The name of the chooser.
_foreground
java.awt.Color _foreground
- The foreground color.
_background
java.awt.Color _background
- The background color.
_editSpecX
int[] _editSpecX
_editSpecY
int[] _editSpecY
_editSpecSet
boolean[] _editSpecSet
_currentEditX
int _currentEditX
_currentEditY
int _currentEditY
_dataset
int _dataset
_undoStack
java.util.Stack<E> _undoStack
_redoStack
java.util.Stack<E> _redoStack
_editListeners
java.util.Vector<E> _editListeners
_currentdataset
int _currentdataset
- The current dataset.
_points
java.util.Vector<E> _points
- A vector of datasets.
_histogram
java.util.Vector<E> _histogram
- A vector of histogram data.
_barwidth
double _barwidth
- The width of a bar.
_baroffset
double _baroffset
- The offset between bars.
_binWidth
double _binWidth
- The width of a bin.
_binOffset
double _binOffset
- The offset between bins.
_needBinRedraw
boolean _needBinRedraw
_needPlotRefill
boolean _needPlotRefill
_scheduledBinsToAdd
java.util.ArrayList<E> _scheduledBinsToAdd
_showing
boolean _showing
- Set by _drawPlot(), and reset by clear().
_currentdataset
int _currentdataset
- The current dataset.
_marks
int _marks
- An indicator of the marks style. See _parseLine method for
interpretation.
_points
java.util.ArrayList<E> _points
- A vector of datasets.
_markDisconnections
boolean _markDisconnections
- True when disconnections should be marked.
_barOffset
double _barOffset
- Offset per dataset in x axis units.
_bars
boolean _bars
- True if this is a bar plot.
_barWidth
double _barWidth
- Width of a bar in x axis units.
_bins
java.util.ArrayList<E> _bins
- An arraylist of the bins in the plot. A bin is represents a number of points that are all displayed on the same x position.
A bin is meant to avoid superfluous drawings of lines. So instaed of having to draw
a line between each point, you can draw a line between the minimum and maximum and maximum
position.
_connected
boolean _connected
- True if the points are connected.
_diameter
int _diameter
- Give the diameter of a point for efficiency.
_firstInSet
boolean _firstInSet
- Is this the first datapoint in a set?
_formats
java.util.ArrayList<E> _formats
- Format information on a per data set basis.
_graphics
java.awt.Graphics _graphics
- Cached copy of graphics, needed to reset when we are exporting
to EPS.
_impulses
boolean _impulses
- True if this is an impulse plot.
_lastPointWithExtraDot
java.util.HashMap<K,V> _lastPointWithExtraDot
_lineStyles
boolean _lineStyles
- True if different line styles should be used.
_maxDataset
int _maxDataset
- The highest data set used.
_needBinRedraw
boolean _needBinRedraw
_needPlotRefill
boolean _needPlotRefill
_pointInBinOffset
java.util.ArrayList<E> _pointInBinOffset
- Points in bins have an absolute index within the virtual array
of all points that once existed in Plot. This is done to avoid
having to change all bins when points in the beginning are removed.
The offset _pointInBinOffset is a positive number that denotes the
difference between the index of the point in the current point arraylist
and the virtual one containing all points.
_pointsPersistence
int _pointsPersistence
- Number of points to persist for.
_prevxpos
java.util.ArrayList<E> _prevxpos
- Information about the previously plotted point.
_prevypos
java.util.ArrayList<E> _prevypos
- Information about the previously plotted point.
_prevErasedxpos
java.util.ArrayList<E> _prevErasedxpos
- Information about the previously erased point.
_prevErasedypos
java.util.ArrayList<E> _prevErasedypos
- Information about the previously erased point.
_radius
int _radius
- Give the radius of a point for efficiency.
_reuseDatasets
boolean _reuseDatasets
- True if we saw 'reusedatasets: on' in the file.
_sawFirstDataSet
boolean _sawFirstDataSet
- Have we seen a DataSet line in the current data file?
_scheduledBinsToAdd
java.util.ArrayList<E> _scheduledBinsToAdd
_scheduledBinsToErase
java.util.ArrayList<E> _scheduledBinsToErase
_showing
boolean _showing
- Set by _drawPlot(), and reset by clear().
_xPersistence
double _xPersistence
- Persistence in units of the horizontal axis.
_xyInvalid
boolean _xyInvalid
- Flag indicating validity of _xBottom, _xTop,
_yBottom, and _yTop.
_width
float _width
- The width of the current stroke. Only effective if the
Graphics is a Graphics2D.
_padding
double _padding
- The factor we pad by so that we don't plot points on the axes.
_xlowgiven
double _xlowgiven
- The given X and Y ranges.
If they have been given the top and bottom of the x and y ranges.
This is different from _xMin and _xMax, which actually represent
the range of data that is plotted. This represents the range
specified (which may be different due to zooming).
_xhighgiven
double _xhighgiven
- The given X and Y ranges.
If they have been given the top and bottom of the x and y ranges.
This is different from _xMin and _xMax, which actually represent
the range of data that is plotted. This represents the range
specified (which may be different due to zooming).
_ylowgiven
double _ylowgiven
- The given X and Y ranges.
If they have been given the top and bottom of the x and y ranges.
This is different from _xMin and _xMax, which actually represent
the range of data that is plotted. This represents the range
specified (which may be different due to zooming).
_yhighgiven
double _yhighgiven
- The given X and Y ranges.
If they have been given the top and bottom of the x and y ranges.
This is different from _xMin and _xMax, which actually represent
the range of data that is plotted. This represents the range
specified (which may be different due to zooming).
_xBottom
double _xBottom
- The minimum X value registered so for, for auto ranging.
_xTop
double _xTop
- The maximum X value registered so for, for auto ranging.
_yBottom
double _yBottom
- The minimum Y value registered so for, for auto ranging.
_yTop
double _yTop
- The maximum Y value registered so for, for auto ranging.
_xlog
boolean _xlog
- Whether to draw the axes using a logarithmic scale.
_ylog
boolean _ylog
- Whether to draw the axes using a logarithmic scale.
_grid
boolean _grid
- Whether to draw a background grid.
_wrap
boolean _wrap
- Whether to wrap the X axis.
_wrapHigh
double _wrapHigh
- The high range of the X axis for wrapping.
_wrapLow
double _wrapLow
- The low range of the X axis for wrapping.
_background
java.awt.Color _background
- Color of the background, settable from HTML.
_foreground
java.awt.Color _foreground
- Color of the foreground, settable from HTML.
_topPadding
int _topPadding
- Top padding.
Derived classes can increment these to make space around the plot.
_bottomPadding
int _bottomPadding
- Bottom padding.
Derived classes can increment these to make space around the plot.
_rightPadding
int _rightPadding
- Right padding.
Derived classes can increment these to make space around the plot.
_leftPadding
int _leftPadding
- Left padding.
Derived classes can increment these to make space around the plot.
_ulx
int _ulx
- The x value of the upper left corner of the plot rectangle in pixels.
Given a mouse click at x0, to convert to data coordinates, use:
(_xMin + (x0 - _ulx) / _xscale).
_uly
int _uly
- The y value of the upper left corner of the plot rectangle in pixels.
Given a mouse click at y0, to convert to data coordinates, use:
(_yMax - (y0 - _uly) / _yscale).
_lrx
int _lrx
- The x value of the lower right corner of
the plot rectangle in pixels.
_lry
int _lry
- The y value of the lower right corner of
the plot rectangle in pixels.
_specifiedPlotRectangle
java.awt.Rectangle _specifiedPlotRectangle
- User specified plot rectangle, null if none specified.
- See Also:
PlotBox.setPlotRectangle(Rectangle)
_yscale
double _yscale
- Scaling used for the vertical axis in plotting points.
The units are pixels/unit, where unit is the units of the Y axis.
_xscale
double _xscale
- Scaling used for the horizontal axis in plotting points.
The units are pixels/unit, where unit is the units of the X axis.
_usecolor
boolean _usecolor
- Indicator whether to use _colors.
_width
int _width
- Width and height of component in pixels.
_height
int _height
- Width and height of component in pixels.
_preferredWidth
int _preferredWidth
- Width and height of component in pixels.
_preferredHeight
int _preferredHeight
- Width and height of component in pixels.
_documentBase
java.net.URL _documentBase
- The document base we use to find the _filespec.
NOTE: Use of this variable is deprecated. But it is made available
to derived classes for backward compatibility.
FIXME: Sun's appletviewer gives an exception if this is protected.
Why?? So we make it temporarily public.
_actionsDeferred
boolean _actionsDeferred
- Indicator of whether actions are deferred.
_automaticRescale
boolean _automaticRescale
_deferredActions
java.util.LinkedList<E> _deferredActions
- List of deferred actions.
_filespec
java.lang.String _filespec
- The file to be opened.
_ytickMax
double _ytickMax
- The range of the plot as labeled
(multiply by 10^exp for actual range.
_ytickMin
double _ytickMin
- The range of the plot as labeled
(multiply by 10^exp for actual range.
_xtickMax
double _xtickMax
- The range of the plot as labeled
(multiply by 10^exp for actual range.
_xtickMin
double _xtickMin
- The range of the plot as labeled
(multiply by 10^exp for actual range.
_yExp
int _yExp
- The power of ten by which the range numbers should
be multiplied.
_xExp
int _xExp
- The power of ten by which the range numbers should
be multiplied.
_ytickscale
double _ytickscale
- Scaling used in making tick marks.
_xtickscale
double _xtickscale
- Scaling used in making tick marks.
_captionFont
java.awt.Font _captionFont
- Caption font information.
_labelFont
java.awt.Font _labelFont
- Font information.
_superscriptFont
java.awt.Font _superscriptFont
- Font information.
_titleFont
java.awt.Font _titleFont
- Font information.
_captionFontMetrics
java.awt.FontMetrics _captionFontMetrics
- Caption font metric information.
_labelFontMetrics
java.awt.FontMetrics _labelFontMetrics
- FontMetric information.
_superscriptFontMetrics
java.awt.FontMetrics _superscriptFontMetrics
- FontMetric information.
_titleFontMetrics
java.awt.FontMetrics _titleFontMetrics
- FontMetric information.
_xlabel
java.lang.String _xlabel
- The title and label strings.
_ylabel
java.lang.String _ylabel
- The title and label strings.
_title
java.lang.String _title
- The title and label strings.
_captionStrings
java.util.Vector<E> _captionStrings
- Caption information.
_legendStrings
java.util.Vector<E> _legendStrings
- Legend information.
_legendDatasets
java.util.Vector<E> _legendDatasets
- Legend information.
_xticks
java.util.Vector<E> _xticks
- If XTicks or YTicks are given/
_xticklabels
java.util.Vector<E> _xticklabels
- If XTicks or YTicks are given/
_yticks
java.util.Vector<E> _yticks
- If XTicks or YTicks are given/
_yticklabels
java.util.Vector<E> _yticklabels
- If XTicks or YTicks are given/
_originalXRangeGiven
boolean _originalXRangeGiven
_originalYRangeGiven
boolean _originalYRangeGiven
_originalXlow
double _originalXlow
_originalXhigh
double _originalXhigh
_originalYlow
double _originalYlow
_originalYhigh
double _originalYhigh
_timedRepaint
boolean _timedRepaint
_plot
PlotBox _plot
- The plot object controlled by this formatter.
_wideQuery
Query _wideQuery
_narrowQuery
Query _narrowQuery
_originalTitle
java.lang.String _originalTitle
_originalCaptions
java.util.Vector<E> _originalCaptions
_originalXLabel
java.lang.String _originalXLabel
_originalYLabel
java.lang.String _originalYLabel
_originalMarks
java.lang.String _originalMarks
_originalXTicksSpec
java.lang.String _originalXTicksSpec
_originalYTicksSpec
java.lang.String _originalYTicksSpec
_originalXRange
double[] _originalXRange
_originalYRange
double[] _originalYRange
_originalXTicks
java.util.Vector<E>[] _originalXTicks
_originalYTicks
java.util.Vector<E>[] _originalYTicks
_originalGrid
boolean _originalGrid
_originalLineStyles
boolean _originalLineStyles
_originalStems
boolean _originalStems
_originalColor
boolean _originalColor
_originalConnected
boolean[][] _originalConnected
_originalPoints
PlotPoint[][] _originalPoints
plot
PlotBox plot
- The plot object held by this frame.
_menubar
javax.swing.JMenuBar _menubar
- Menubar for this frame.
_editMenu
javax.swing.JMenu _editMenu
- Edit menu for this frame.
_fileMenu
javax.swing.JMenu _fileMenu
- File menu for this frame.
_specialMenu
javax.swing.JMenu _specialMenu
- Special menu for this frame.
_directory
java.io.File _directory
- Directory that contains the input file.
_file
java.io.File _file
- The input file.
_plotLiveThread
java.lang.Thread _plotLiveThread
- Thread of this plotter
_plotting
boolean _plotting
- True if we are actually plotting.
_paused
boolean _paused
- True if we are paused.
_startButton
javax.swing.JButton _startButton
- Start and Stop Buttons.
_stopButton
javax.swing.JButton _stopButton
- Start and Stop Buttons.
connected
boolean connected
- True if this point is connected to the previous point by a line.
errorBar
boolean errorBar
- True if the yLowEB and yHighEB fields are valid.
originalx
double originalx
- Original value of x before wrapping.
x
double x
- X value after wrapping (if any).
y
double y
- Y value.
yLowEB
double yLowEB
- Error bar Y low value.
yHighEB
double yHighEB
- Error bar Y low value.
|
Package ptolemy.plot.compat |
_parser
PxgraphParser _parser
_parser
PxgraphParser _parser
|
Package ptolemy.plot.plotml |
_choice
javax.swing.JComboBox _choice


{{stationsCtrl.station.data.station_name}}
Risk:
- {{stationsCtrl.station.nbBikes}} bikes right now. Odds of running out: {{stationsCtrl.station.delta.bike_odds}}%
- {{stationsCtrl.station.nbEmptyDocks}} empty docks right now. Odds of filling up: {{stationsCtrl.station.delta.dock_odds}}%