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Pip and the whole gang
are
pretty cool!
But let's wait a few (5) seconds for Ricky to stop--
bork,
bork,
borking!


Aesop's Fables
by Aesop
“The Labourer and the Nightingale”
Additional Information
- Year Published: 1867
- Language: English
- Country of Origin: Greece
- Source: Aesop (1867) Aesop's Fables
-
Readability:
- Flesch–Kincaid Level: 3.8
- Word Count: 174
- Genre: Fable
- Keywords: traditional stories
- ✎ Cite This
Downloads
A Labourer lay listening to a Nightingale’s song throughout the summer night. So pleased was he with it that the next night he set a trap for it and captured it. “Now that I have caught thee,” he cried, “thou shalt always sing to me.”
“We Nightingales never sing in a cage.” said the bird.
“Then I’ll eat thee.” said the Labourer. “I have always heard say that a nightingale on toast is dainty morsel.”
“Nay, kill me not,” said the Nightingale; “but let me free, and I’ll tell thee three things far better worth than my poor body.” The Labourer let him loose, and he flew up to a branch of a tree and said: “Never believe a captive’s promise; that’s one thing. Then again: Keep what you have. And third piece of advice is: Sorrow not over what is lost forever.” Then the song-bird flew away.


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Module 7 Variables in R
Learning goals
- How to define variables and work with them in
R
- Learn the various possible classes of data in
R
Introducing variables
So far we have strictly been using R
as a calculator, with commands such as:
Of course, R
can do much, much more than these basic computations. Your first step in uncovering the potential of R
is learning how to use variables.
In R
, a variable is a convenient way of referring to an underlying value. That value can be as simple as a single number (e.g., 6
), or as complex as a spreadsheet that is many Gigabytes in size. It may be useful to think of a variable as a cup; just as cups make it easy to hold your coffee and carry it from the kitchen to the couch, variables make it easy to contain and work with data.
Declaring variables
To assign numbers or other types of data to a variable, you use the <
and -
characters to make the arrow symbol <-
.
As the direction of the <-
arrow suggests, this command stores the result of 3 + 5
into the variable x
.
Unlike before, you did not see 8
printed to the Console. That is because the result was stored into x
.
Calling variables
If you wanted R to tell you what x
is, just type the variable name into the Console and run that command:
Want to create a variable but also see its value at the same time? Here’s a handy trick:
The semicolon simulates hitting Enter
. It says: first run x <- 3*12
, then run x
.
You can also update variables.
You can also add variables together.
Naming variables
Variables are case-sensitive! If you misspell a variable name, you will confuse R
and get an error.
For example, ask R
to tell you the value of capital X
. The error message will be Error: object 'X' not found
, which means R
looked in its memory for an object (i.e., a variable) named X
and could not find one.
You can make variable names as complicated or simple as you want.
Note that periods and underscores can be used in variable names:
However, hyphens cannot be used since that symbol is used for subtraction.
Also note that variables are case-sensitive! If you name a variable My_variable
, R
will not recognize it if you refer to it as My_Variable
.
Naming theory
Naming variables is a bit of an art. The trick is using names that are clear but are not so complicated that typing them is tedious or prone to errors.
Some names need to be avoided, since R
uses them for special purposes. For example, data
should be avoided, as should mean
, since both are functions built-in to R
and R
is liable to interpret them as such instead of as a variable containing your data.
Note that R
uses a feature called ‘Tab complete’ to help you type variable names. Begin typing a variable name, such as supercalifragilistic.expialidocious
from the example above, but after the first few letters press the Tab
key. R
will then give you options for auto-completing your word. Press Tab
again, or Enter
, to accept the auto-complete. This is a handy way to avoid typos.
Exercise 1
A. Estimate how many bananas you’ve eaten in your lifetime and store that value in a variable (choose whatever name you wish).
B. Now estimate how many ice cream sandwiches you’ve eaten in your lifetime and store that in a different variable.
C. Now use these variables to calculate your Banana-to-ICS ratio. Store your result in a third variable, then call that variable in the Console to see your ratio.
D. Who in the class has the highest ratio? Who has the lowest?
Types of data in R
So far we have been working exclusively with numeric data. But there are many different data types in R. We call these “types” of data classes:
- Decimal values like 4.5 are called numeric data.
- Natural numbers like 4 are called integers. Integers are also numerics.
- Boolean values (TRUE or FALSE) are called logical data.
- Text (or string) values are called character data.
In order to be combined, data have to be the same class.
R is able to compute the following commands …
… but not these:
That’s because the quotation marks used in naming y
causes R
to interpret y
as a character
class.
To see how R
is interpreting variables, you can use the class()
function:
x <- 100
class(x)
[1] "numeric"
x <- "100"
class(x)
[1] "character"
x <- 100 == 101
class(x)
[1] "logical"
Another data type to be aware of is factors, but we will deal with them later.
Exercise 2
A. Assign a FALSE
statement of your choosing to a variable of whatever name you wish.
B. Confirm that the class of this variable is “logical.”
C. Confirm that the variable equals FALSE
.
Exercise 3
A. Create a variable x that is a list of numbers of any size. Create a variable y with the same criteria.
B. Check to see if each values of x is greater than each value of y
C. Check to see if the smallest value of x is greater than or equal to the average value of y.
Review assignment
Converting Farenheit to Celsius:
A. Assign a variable farenheit
the numerical value of 32.
B. Assign a variable celsius
to equal the conversion from Fahrenheit to Celsius. Unless your a meteorology nerd, you may need to Google equation for this conversion.
C. Print the value of celsius
to the Console.
D. Now use this code to determine the Celsius equivalent of 212 degrees Farenheit.


--- layout: post title: 'ServicesAngle Weekly Editorial Call: Big Data Market Report, The Trouble with Hadoop and More' date: '2012-02-23T13:46:35-08:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/18147796610/servicesangle-weekly-editorial-call-big-data-market ---


--- layout: post title: 'Darren on Flex: UI Preferences with Parsley Managed Persistence' date: '2015-06-10T02:22:00.000+01:00' author: Darren Bishop tags: - Specs - Java - ActionScript - TDD - JVM - Scala - Lift - Parsley - Maven - Mocking - ScalaTest - Flex - Agile - BDD - Flexmojos - BlazeDS modified_time: '2015-06-10T02:22:31.566+01:00' blogger_id: tag:blogger.com,1999:blog-3826577489563855618.post-3071831543450512087 blogger_orig_url: https://www.blogger.com/comment.g?blogID=3826577489563855618&postID=3071831543450512087 ---
PROLOGUE
Parsley is the prevailing container framework for Flex applications in the finance sector.
It offers many APIs to implement and uphold various patterns and principles widely coveted in OO development e.g. Inversion of Control, Dependency Injection, Loose Coupling, Messaging, Encapsulation, Modularization, MVC, and so on.
One API I feel is generally overlooked is Parsley Managed Persistence.
Maybe this is owing to the author stating in the relevant documentation its limitations for persisting only primitive types.
Maybe it's because, out-of-the-box you only get local persistence, implemented on Flash-cookies.
Persistence for UI related properties - that is, less to do with business-data and more to do with UI-preferences - is undeniably a desirable application feature; it facilitates productivity
I have seen time and effort spent implementing this functionality as a standalone feature, where less time and effort could be spent leveraging Parsley Managed Persistence to provide the same with a near-seamless integration.
In this post I will show how to over come the limitations of Parsley Managed Persistence, providing a reference implementation for persistent distributed UI-preferences.
com.darrenbishop.blog.flex.serialization.ListMarshaller [BlazeDS] false false false false Endpoint.* Service.* Configuration false
preferencesServiceFactory session
Block-quote
Some Code


3.2 Benchmarking Strategies
We'll
look at the mechanics of benchmarking shortly. First
it's important to convey some of strategies and
ideas that make up the philosophy behind benchmarking.
To start with,
it's important to make a distinction between
performance testing and stress testing. Both processes use the tools
we'll look at in this chapter, but the goals are
very different. When doing performance testing,
you're usually comparing two alternatives—most
often in isolation from everything else. For instance, would it be
faster to use a UNION or run two separate queries?
Stress testing, on the other hand, is about finding limits:
what's the maximum number of requests I can handle
with this configuration?
If the two types of benchmarking still sound similar, look at it this
way: in performance testing, the numbers you get
aren't as important as the difference between them.
You may see that alternative #1 usually runs in 0.01 seconds (or 100
queries/second), while alternative #2 runs in 0.20 seconds (or 5
queries/second). That tells you the first alternative is 20 times
faster than the second one. However, knowing that you can handle 100
queries per second doesn't tell you how your
application as a whole will perform unless, of
course, your application always runs the same query. In contrast,
stress testing can help in situations such as: "We
expect the promotion we just offered to bring in 30% more hits than
we have now. What will the effects on our server
be?"
To make benchmarking as realistic and
hassle-free as possible, here are several suggestions to consider:
- Change one thing at a time
-
In science this is called
isolating the variable. No matter how
well you think you understand the effects your changes will have,
don't make more than one change between test runs.
Otherwise you'll never know which one was
responsible for the doubling (or halving) of performance. You might
be surprised to find that an adjustment you made once before to
improve performance actually makes it worse in your current tests.
- Test iteratively
-
Try not to make dramatic changes. When
adjusting MySQL's buffers and caches,
you'll often be trying to find the smallest value
that comfortably handles your load. Rather than increasing a value by
500%, start with a 50% or 100% increase and continue using that
percentage increase on subsequent tests. You'll
probably find the optimal value faster this way. Similarly, if
you're working from larger values to smaller, the
time-tested "divide and conquer"
technique is your best bet. Cut the current value in half, retest,
and repeat the process until you've zeroed in close
to the correct value.
- Always repeat tests
-
No
matter how carefully you control the environment, something can creep
in and really mess up your numbers. Maybe you forgot to disable
cron, or you have some disk-intensive script
running in the background. Because the disk is already being hit, you
may not notice the new process, but it sure can slow down MySQL.
By running each test several times (we recommend no fewer than four)
and throwing out the first result, you minimize the chance of an
outside influence getting in the way. It will be pretty clear that
something was wrong with the first result when the second and third
set of tests run twice as fast as the first. Also, consider
restarting MySQL and even rebooting your server between test runs to
factor out caching artifacts.
- Use real data
-
It
sounds like common sense, doesn't it? If
you're not testing with real data,
it's difficult to draw conclusions based on the
numbers you get. As you'll see in Chapter 4, MySQL will often behave differently when
presented with different sets of data. The query optimizer makes
decisions based on what it knows about the data
you've stored. If you're testing
with fake data, there's a chance that the
optimizer's decisions aren't the
same as they'll be when you switch to using your
real data.
In a similar vein, try to use a realistic amount of data. If you plan
to have 45 million rows in a table but test with only 45 thousand,
you'll find that performance drops off quite a bit
after the table is filled up—and it has nothing to do with
limits in MySQL. The simple fact is that your server probably has
enough memory to keep 45 thousand rows cached, but 45 million rows
aren't nearly as likely to be entirely cached.
- Don't use too many clients
-
Try not to go crazy with benchmarking.
It's fun to see how hard you can push your server,
but unless you're doing stress testing,
there's little need to run more than 40 or 50
concurrent clients in day-to-day benchmarking. What you'll
likely find is that performance (measured in queries/second) reaches
a plateau when you try to increase the simulated clients beyond a
certain number.
When you attempt to use too many clients, your server will refuse to
accept any more connections than specified by the
max_clients setting. Be careful not to increase
this value too much; if you do, the server may start to swap wildly
and grind to a halt simply because it doesn't have
the resources (typically memory) to handle huge numbers of clients.
We'll come back to this in Chapter 6 when we look at service performance. But
the test doesn't help you evaluate your server
realistically.
You can find the optimal number of clients by using a simple
iterative testing method. Start with a small number such as 20, and
run the benchmark. Double the number, and run it again. Continue
doubling it until the performance does not increase, meaning that the
total queries per second stays the same or decreases. Another option
is to use data from your logs to find out roughly how many concurrent
users you handle during peak times.
- Separate the clients from the server
-
Even if your real application runs
on the same host as MySQL, it's best to run the
benchmarking client on a separate machine. In this way, you need not
worry about the resources required by the client interfering with
MySQL's performance during the test.
|


DMC is a cannabis dispensary comparison application made my some pretty cool dudes who just want to make finding what you want easier.
This application is designed to locate the establishemnts in your area.
DMC gives you the freedom to build orders for pickup or delivery when available from anywhere.
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Feel free to email us to provide some feedback on our services, give us suggestions for new features or locations, or to just say hello!


{% extends "layout.html" %} {% set active_page = "countries" %} {% block title %}Recipient countries {% endblock %} {% block body %}
These are all countries that received Official Development Assistance or in other words foreign aid. The data behind these pages generated from two main sources. The Creditor Reporting System of the OECD and the International Aid Transparency Initiative (IATI). This website is one of its first attempting to combine the two data sets. Data begins with the first year for which CRS data has been provided, because it is at the moment more comprehensive, although IATI data is more detailed and also forward-looking. CRS data is always at least one and half years old. So on each recipient country page you can browse to the past, present and (coming soon) future of development projects.


Playground for testing various GitHub features
View the Project on GitHub a6502/playground
sub foo { say 'bar!'; }
the end?


VR MINI CTF
About
Problem
Testing_Your_Memory_Power
Spooky_Calling
INFINITE_Boss
Rank
Main Rank
"."My Unique Number".""; ?>
Logout
About
How to play game?
Home
About
RULE
Testing Your Memory Power
The combination of these letters is a flag, a very long flag will test your memory power!
Spooky Calling
When we give the wave file, you can analyze it and find the flag!
INFINITE Boss
~
<


--- title: "Background Color Variations" description: |
By adding the h-bck__[color-name][--variation]
helper class on an
evo_c-progress-bar
component, you can change the trackbar's color.
The color-name part comes from one of the colors in the
Evolution UI's color palette. The --variation part is
optional instead.
By adding the h-bck__[color-name][--variation]
helper class on an
evo_c-progress-bar__bar
bar, you can change the bar's color.
The color-name part comes from one of the colors in the
Evolution UI's color palette. The --variation part is
optional instead.
On the 45, 90, and 135 bars, you can apply color variations using the
h-bck--[color-name]
helper class instead (without the variation part).


!"#$%&'()*+,-./0123456789:;<=>?@ ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_` abcdefghijklmnopqrstuvwxyz{|}~
Special characters: `
is Space. \
is Newline.
How to encrypt and decrypt Plaintext (P) Key (K) Ciphertext (C) The formula for individual characters: Encrypt: P + K = C Decrypt: C - K = P
Emergency phones (hint: 1st grade teacher) zOAnJ'!v_#"/u#yp_"{-F7N%<SM*y!txf{x*}(w>sXQWp~xi4#"0|'tqf}&S/aRM4p|(qO"yfx"$"(}u


So What is This About?
The ancient Egyptians were possibly the first civilisation to practice the scientific arts. Indeed, the word chemistry is derived from the word Alchemy which is the ancient name for Egypt. The Egyptians really excelled in medicine and applied mathematics. But although there is a large body of papyrus literature describing their achievements in medicine, there are no records of how they reached their mathematical conclusions. They must have had an advanced understanding of the subject,because their exploits in engineering, astronomy and administration would not have been possible without it.
Requirements
You are to create a simple web page that takes as input two positive integers: a numerator and a denominator, representing a positive rational fraction.
After entering the two numbers, the page should display the representation of that fraction as an egyptian fraction
Your program should always use the largest unit possible[1], and display the components in descending order.


|
TaoismThe Tao that can be talked about is not the eternal Tao. Nevertheless, people try to talk about it all the time.Such is human nature, which, ironically, is the very thing Taoism is designed to eradicate. Taoism, as a belief system, has undergone dramatic mutations over the course of millennia, but its main tenet has remained remarkably unchanged -- that humans can achieve enlightenment only by "non-striving" and "non-doing," using quiet contemplation to eventually abandon earthly concern and become one with the universe. Taoism was founded somewhere between 1000 B.C. and 300 B.C. It officially began when a philosopher named Lao Tzu wrote a book called the Tao-te-Ching, or "The Book of the Way and Virtue." Lao Tzu is the founder of Taoism in much the same way that Jesus Christ is the founder of Christianity, i.e., he may or may not have been a real historical figure, and he may or may not have said the things that were attributed to him. The Tao-Te-Ching is a short book of profundities that you either get or you don't. For instance: Tao can be talked about, but not the Eternal Tao. Names can be named, but not the Eternal Names. As the origin of heaven and earth, it is nameless. As "the Mother" of all things, it is nameable. So, as ever hidden, we should look at this inner essence; as always manifest, we should look at its outer aspects. In addition to its extremely esoteric subject matter, the Tao-Te-Ching is notoriously difficult to translate from its original Chinese. The word Tao means "path" or "way." Everything else is up for grabs. Consider the following translation of the same passage from above: The Tao that can be understood cannot be the primal, or cosmic, Tao, just as an idea that can be expressed in words cannot be the infinite idea. And yet this ineffable Tao was the source of all spirit and matter, and being expressed was the mother of all created things. Therefore not to desire the things of sense is to know the freedom of spirituality; and to desire is to learn the limitation of matter. The same... And yet, not quite. Every translator brings his or her own set of assumptions to the job, which apply to concepts that English sometimes lacks words for. There are ways but the Way is uncharted; There are names but not nature in words: Nameless indeed is the source of creation, but things have a mother and she has a name. The secret waits for the insight of eyes unclouded by longing; Those who are bound by desire see only the outward container. Taoism began as a philosophy. The basic premise was that the universe is constructed of two polar forces. Yin and yang represent a wide range of opposites -- female and male, receptive and projective, responding and initiating, passive and forceful, stillness and motion. In addition to the Tao-Te-Ching, the other major text of Taoism is the I-Ching. The i-Ching predates the Tao-Te-Ching and the formal establishment of Taoism by at least a couple of centuries. The i-Ching, aka the "Book of Changes," was an traditional oracle, often used for fortune-telling. The book sets forth a model of reality based on the mingling of yin and yang. At its most basic, all of the yin-yang opposites can be reduced one of three extremely important pairs of qualities:
At its heart, Taoism was about the interaction of yin and yang, which is believed to be the core of all existence. This distinguishes Taoism from virtually all of the world's major religions, which are almost universally concerned with some sort of personified deity or deities. The original thrust of Taoism was to explain the forces that shape existence, rather than resorting to an omnipotent figure with poorly delineated supernatural powers. Yin and yang were part of everything, including the human life force, known as chi. It was a tough sell. Religion without a deity is like a TV show about Clark Kent without the red cape and the big 'S'. (Wait, you're telling me they have that? Weird.) Over the course of time, Taoism split into two major schools, each serving a different constituency. The pure philosophical Taoism continued to focus on quieting the soul, meditating on the universe, and right-minded living. It became associated with the martial arts, healing practices like acupuncture, and other regimens designed to enhance longevity and even achieve immortality. A separate branch of religious Taoism evolved as a cluster of sects, with very cool names like the "Spiritual Treasure School," the "Dragon's Gate School" and the "School of Complete Reality." Some of these sects were just revamped folk religions, complete with traditional deities and cosmology. The most influential schools presented themselves as secret societies protecting the secrets of Taoist alchemy, such as the golden elixir of immortality. Some sects took the alchemy very literally, others used the language as colorful metaphor for the original concepts of philosophical Taoism. Other sects embraced Taoist alchemy as sexual ritual, focusing on how drinking and otherwise interacting with sexual fluids could ensure longevity (or at least ensure you have fun not achieving longevity). Taoism has been practiced continually in China since its founding, although it had to compete with other religions, including Buddhism, which lifted many of its tenets. The Communist revolution drove Taoism underground in the 1950s, but failed to completely eradicate it. As Chinese Taoism suffered setbacks however, the West was discovering the philosophy. Scientists and philosophers were surprised to find that Taoism contained extraordinary parallels to the newly discovered sciences of chaos theory and quantum physics, while the i-Ching displayed some suspicious correspondences to human DNA structure. This led to the publication of a few high-minded studies, such as The Tao of Physics. These serious and insightful books sold so well that they spawned a long series of unholy derivatives, such as The Tao of Chaos, The Tao of Leadership (for busy Taoist CEOs), The Tao of Enron (for CEOs who failed to get the point of the other one), The Tao of Sexology (explicit XXX secrets of the ancient sages), The Tao of Sports (in case your worship of the local team leaves you feeling somehow unfulfilled), The Tao of Watercolor (if Bob Ross isn't satisfying your spiritual needs), and The Tao of Network Security Monitoring (just because it's so great to stick the word Tao in front of anything). The Tao of Jeet Kun Do, by Bruce Lee, is by far the coolest of these, but the most successful is also by far the least cool. The Tao of Pooh has sold more than 2 million copies and thus takes the lion's share of blame for the heinous practice of sticking "The Tao of" in front of everything. Oh, bother.
|


Loud Array is shared under the MIT License
MIT License
Copyright (c) 2019 1076
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


We used transfer learning to accurately predict diseases in Xrays using a ResNet-50 model trained on Imagenet dataset


Audary
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{% extends "abstract/base.html" %} {% block title %}Tagr|About{% endblock %} {% block mainbody %}
Tagr: extremely fast to find key phrases in the document as tags.
Algorithm: Rapid Automatic Keyword Extraction (RAKE) algorithm


Status: lobotomy aficionado
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Status: Standing by
Status: This city needs a hero
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Status: Dead. Killed by Touka
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Status: Healed and useless
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Status: Sideparts his hair
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Status: Yes, that was your bike, Marude-san
Status: Dead. Killed by Roma
Status: Hairy
Status: JUST...
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Status: Turning into Hirako
Status: Bro
Status: Ate his mommy
Status: Dead. Killed by Miza
Status: Still alive
Status: Sharkbro. New QS's leader
Status: Fat, lazy, and useless
Status: Dead. Killed by Touka


In this scenario the parent div's -ms-user-select attribute is set "element", thus enabling selection for the parent div. You will find 5 child divs that have their -ms-user-select attribute set to "inherit", "element", "text", "initial" and "none" respectively.
The user has the ability to select everything within the div with attribute set to "element". However if you begin selection from the div marked "text" can select anything on the page. The "inherit" div just like the parent div is selectable. However the "auto" div takes on the "text" behavior from the parent that is marked "element".
The -ms-user-select attribute for the Parent Div is set to "element". Hence selection is enabled.
The -ms-user-select attribute for this div is set to "inherit"
The -ms-user-select attribute for this div is set to "element"
The -ms-user-select attribute for this div is set to "text"
Either you don't use the -ms-user-select attribute or set it to "auto"
The -ms-user-select attribute for this div is set to "none"


{% extends "layouts/base.html" %} {% block title %} Contact {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block content %} Questions, comments, and information should be directed to us via email. Email us {% endblock content %} {% block javascripts %}{% endblock javascripts %}


Honzi
/
Personal Bests
/Titan Quest
Character
Level
Armor
Attack Speed
Block
%
Damage
DPS
Most
Defensive
Offensive
Dexterity
Duped?
Energy
Regeneration
Gold
Health
Regeneration
Intelligence
Strength
Passive Tank
6
35
89
24
11%
25
22
35
72
90
72
No
300
60
137
964
65
50
78


To-Dlo is a simple to-do list management application, manageable from your
cellphone via SMS. See About To-Dlo! for
more info.
Why the name?
Why not? I actually seriously don't remember my reason. If only I had had
To-Dlo to write it down.

In my head I imagine it's pronounced like "to do" but with an L.
How do I make an account?
To-Dlo uses Google Accounts for accounts. If you want to use To-Dlo, go get
Gmail, which you should have anyway.
Oh noes, so you get my Gmail account info?
No, I don't get your account information. All Google tells me is your
preferred nickname, email address, and if you logged in successfully or not.
Perhaps I should have a privacy section.
I have a cool feature you should add...
Sweet. Tell me about it. If I also think it's cool,
maybe I'll implement it right away. Though, chances are I won't have time. I
have a day job and grad school in addition to this. I am looking for help,
though. If you're a graphics designer or programmer or anything else and you
have some great ideas and motivation to implement them, I could even add you as
a To-Dlo admin.


GOZMOC is a site dedicated to great THINKERS of the world. It is aimed to showcase the Magnificient work of people
in various fields like Art, Music, Philosophy etc. and especially in fields of Science & Mathematics.
The awe-inspiring posts on this site will make you THINK
DIFFERENTLY & will CHANGE the way you look at the WORLD.It's the place for Curious One's, Dreamer's & Thinker's!
Science is simply the word we use to describe a method of organizing our curiosity.
History is Who we are & Why we are the way we are.
It contains posts on Social Issues, Politics, Religion and events related to common Human life.
Mathematics itself is the language of the nature that she speaks in.


Papers written while studying at HKU. I'm hoping this page will grow in the future. Since papers are a nice way to make the research for a project accessible to others.
This ink on paper (or dark pixels on light background) is the documentation of the search for the little red thread that might make all of this make sense. As selfish as it seems it’s mostly meant for myself, and possibly others to help understand my artistic motivations. Current trains of thought that hurl through my mind. My inability to adhere to strict research principles and scientific methods might cause the occasional outburst and random musings on life.
This paper dips its toes into the deep subject that is algorithmic composition with chaotic systems. I extracted the explanation on chaos from various sources. Methods of connecting it to algorithmic composition stem mostly from my own ex-perimentations in the subject with great influences from my teachers M. IJzerman, M. Wierckx, M. Groenewegen & G. van Wolferen. Who have given me valuable insights on the subject of algorithmic composition during multiple projects for System Design for Sound and Music (S.O.G.M.).


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Chapter 9 Independent Samples t-Test
The independent samples t-test compares the means of two different (or independent) samples.
For example, let’s say that we were interested in determining if the salary of professors was different depending on whether they were part of an applied or theoretical discipline.
For this example, we will use the datasetSalaries
data set.
9.1 Null and research hypotheses
9.1.1 Traditional approach
\(H_1: \mu_{Applied} - \mu_{Theoretical} \ne 0\) or equivalently \(\mu_{Applied} \ne \mu_{Theoretical}\)
The null hypothesis states there is no difference in the salary of professors who are in an applied discipline compared to a theoretical discipline. The research hypothesis states there is a difference in the salary of professors who are in an applied discipline compared to a theoretical discipline.
9.1.2 GLM approach
\[Model: Salary = \beta_0 + \beta_1*Discipline + \varepsilon\] \[H_0: \beta_1 = 0\] \[H_1: \beta_1 \ne 0\]
In addition to the intercept (\(\beta_0\)), we now have a predictor discipline
along with its associated slope (\(\beta_1\)). In this model, the slope represents the change in salary
over the change in discipline
, and the intercept (\(\beta_{0}\)) represents the value when discipline
is 0.
The null hypothesis states that the slope associated with discipline
is equal to zero. In other words, there is no difference in the salary of professors who are in different disciplines. The alternative hypothesis states that the slope associated with discipline
is not equal to zero. In other words, there is a difference in the salary of professors that are in different disciplines.
The interpretation of the slope and intercept depends on how discipline
is coded. Thus, it is always a good idea to check how this categorical IV is coded, which can be done using the contrasts()
function.
## Theoretical
## Applied 0
## Theoretical 1
We can see that Applied
is coded as 0
and Theoretical
is coded as 1
. Given, that the difference of coding scheme of discipline
is 1, the slope represents the mean difference in salary for professors that are in theoretical disciplines compared to applied disciplines.9 Additionally, the intercept (\(\beta_{0}\)) represents the mean salary of professors in the applied discipline since 0 represents Applied
in the discipline
coding scheme.
If we wanted to change the coding scheme and code Theoretical
as 0
and Applied
as 1
, then our interpretation of the intercept would be the mean salary of professors in the theoretical discipline since Theoretical
is now 0. The slope would still have the same interpretation of the mean difference of salary for professors in different disciplines as the difference in the coding scheme is still 1. However, the sign would change.10
These two types of coding schemes are known as dummy coding, which is R’s default coding scheme for categorical variables. Specifically, dummy coding is when one level of an IV is coded as 1 and all others are coded as 0. However, there are other coding schemes such as effects (also known deviant), helmert, polynomial, and orthogonal. For a good description of different contrasts in addition to applying and interpreting them, check out UCLA Statistical Consulting Group’s description. We will also go over coding categorical variables in more detail in the next chapter.
Our preferred contrast for the independent samples t-test is to use -0.5 for one group and 0.5 for the other group. We prefer this coding scheme because the slope will still provide the mean difference;11 however, since 0 lies in between the two groups, the intercept will now represent the mean of the group means. In this example case, it will be the mean of the mean salary of professors in the applied discipline and the mean salary of professors in the theoretical discipline.
We recommend assigning the group expected to have a higher value in the dependent variable as 0.5 and the other group as -0.5. In our example, we might expect that those in the applied discipline will have higher salaries and thus assign that group to 0.5, while the theoretical discipline to have lower salaries and thus assign them to -0.5. We can do this by using the concatenate c()
function to group the numbers together and assign them back to the contrast. The order inside the c()
function must be in alphanumerical order of the levels of the independent variable.
## [,1]
## Applied 0.5
## Theoretical -0.5
Note: If the difference in discipline
was not equal to 1, the estimate would equal the fraction of the difference. For example, if Applied
was coded as -1
and Theoretical
was coded as 1
, the difference of discipline
is now 2 and the estimate would represent half of the salary mean difference.12 Thus, if we multiplied the estimate by 2, we would obtain the mean salary difference. Even though the estimate changes, the t-statistic and p-value will not change as the intercept and error will adjust proportionally to the coding scheme of the categorical IV (as long as they are unique values).
9.2 Statistical analysis
9.2.1 Traditional approach
To perform the traditional independent samples t-test, we can again use the t.test()
function. However, we will now enter the formula of the GLM into the first argument. For this test, we will assume the variances of each group are equal (not significantly different from each other); however, this should be tested.
##
## Two Sample t-test
##
## data: datasetSalaries$salary by datasetSalaries$discipline
## t = 3.1406, df = 395, p-value = 0.001813
## alternative hypothesis: true difference in means between group Applied and group Theoretical is not equal to 0
## 95 percent confidence interval:
## 3545.70 15414.83
## sample estimates:
## mean in group Applied mean in group Theoretical
## 118028.7 108548.4
Note: There are other ways to enter the formula into t.test()
function depending on how the dataset is formatted.
From this output we can see that the t-statistic (t
) is 3.1406
, degrees of freedom (df
) is 395
, and p-value
is 0.001813
, with the mean salary of professors in the Applied
discipline being $118,028.70
and the mean salary of professors in the Theoretical
discipline being $108,548.40
. Therefore, professors with Applied
disciplines earn significantly higher salaries than professors with Theoretical
disciplines.
9.2.2 GLM approach
##
## Call:
## lm(formula = salary ~ 1 + discipline, data = datasetSalaries)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50748 -24611 -4429 19138 113516
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept)<PHONE_NUMBER> 75.060 < 2e-16 ***
## discipline1 9480 3019 3.141 0.00181 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29960 on 395 degrees of freedom
## Multiple R-squared: 0.02436, Adjusted R-squared: 0.02189
## F-statistic: 9.863 on 1 and 395 DF, p-value: 0.001813
Notice that in both analyses, the t-statistic (t value
) of -3.14
with 395
degrees of freedom (df), and p-value of .002
are identical to the output from the t.test()
function.
We can also see that if we subtract the mean salary for professors in the theoretical discipline from the applied discipline from the t.test()
results, we obtain the same mean difference in the estimate
in the GLM results (i.e., $118,028.70
- $108,548.40
= $9,480.30
).
Furthermore, we can also see that the intercept is the mean of the mean salary from both those in the applied discipline and theoretical discipline (\(\frac{118028.70+108548.40}{2} = 113288.50\)).
9.3 Statistical decision
Given the p-value of .002
is less than the alpha level (\(\alpha\)) of 0.05, we will reject the null hypothesis.
9.4 APA statement
An independent samples t-test was performed to test if salary of professors was different depending on their discipline. The salary of professors was significantly higher for professors in applied disciplines (M = $118,029, SD = $29,459) than for professors in theoretical disciplines (M = $108,548, SD = $30,538), t(395) = -3.14, p = .002.
9.5 Visualization
# calculate descriptive statistics along with the 95% CI
dataset_summary <- datasetSalaries %>%
mutate(discipline = ifelse(discipline == "Applied", 0.5, -0.5)) %>%
group_by(discipline) %>%
summarize(
mean = mean(salary),
sd = sd(salary),
n = n(),
sem = sd / sqrt(n),
tcrit = abs(qt(0.05 / 2, df = n - 1)),
ME = tcrit * sem,
LL95CI = mean - ME,
UL95CI = mean + ME
)
mean_of_means <- mean(dataset_summary$mean)
# plot
datasetSalaries %>%
mutate(discipline = ifelse(discipline == "Applied", 0.5, -0.5)) %>%
ggplot(., aes(discipline, salary)) +
geom_jitter(alpha = 0.1, width = 0.05) +
geom_line(data = dataset_summary, aes(x = discipline, y = mean), color = "#3182bd") +
geom_errorbar(data = dataset_summary, aes(x = discipline, y = mean, ymin = LL95CI, ymax = UL95CI), width = 0.02, color = "#3182bd") +
geom_point(data = dataset_summary, aes(x = discipline, y = mean), size = 3, color = "#3182bd") +
geom_point(aes(x = 0, y = mean_of_means), size = 3, color = "#3182bd") +
labs(
x = "Discipline",
y = "9-Month Academic Salary (USD)",
caption = ""
) +
theme_classic() +
scale_y_continuous(
labels = scales::dollar
) +
scale_x_continuous(breaks = c(-1,-.5,0,.5,1)) +
annotate(geom = "text", x = -.5, y = 0, label = "Applied", size = 4) +
annotate(geom = "text", x = .5, y = 0, label = "Theoretical", size = 4)
\[b_1 = \frac{\Delta Y}{\Delta X} = \frac{\Delta Salary}{\Delta Discipline} = \frac{\Delta Salary}{1-0} = \frac{\Delta Salary}{1} = \Delta Salary\]↩
\[b_1 = \frac{\Delta Y}{\Delta X} = \frac{\Delta Salary}{\Delta Discipline} = \frac{\Delta Salary}{0-1} = \frac{\Delta Salary}{-1} = -\Delta Salary\]↩
\[b_1 = \frac{\Delta Y}{\Delta X} = \frac{\Delta Salary}{\Delta Discipline} = \frac{\Delta Salary}{0.5-(-0.5)} = \frac{\Delta Salary}{1} = \Delta Salary\]↩
\[b_1 = \frac{\Delta Y}{\Delta X} = \frac{\Delta Salary}{\Delta Discipline} = \frac{\Delta Salary}{1-(-1)} = \frac{\Delta Salary}{2}\]↩


---
layout: null
section-type: about
title: About
---
## About
My name is Federico Angaramo, I'm a curious and a real enterprising person. I live in Biella (Italy) where I works on Data Science and AI projects.
I'm looking to develop my analytical skills and my knowledge, trying to implement and use state of the art algorithms to meet the aim of sperimenting and learning new things and to create new ones.
I like data science and Machine Learning and I always want to learn new things such as programming languages, algorithms and so on, mainly in the Artificial Intelligence fields (especially Machine Learning).
In my spare time I develop the projects in this site and on my GitHub, in addition I like swimming and riding my bikes.
You can find more information about my experiences in my resume.


Well, it happened that we had to take my grandfather's meds away as he was taking too many of them and at irregular intervals. The upshot is that I've now got tramadol, fioricet, and a bit of darvocet. I also had oral surgery a couple of days ago, so I have some vicodin from that.
I haven't touched the other stuff, but have been using the tramadol lately. First started with 50mg (a pill). This caused some mild body sensations; noticeable and pleasant. Then I went up to 100mg. Started to get 'noddy.' Eyes began to close, and feeling the rush of the drug in waves. A bit like ecstasy in this regard.
Moved up to taking 100mg three times today. First was this afternoon. Made me more sleepy than anything else (I was also hungover and taking some other meds that can cause drowsiness). So I took a nap and woke up early this evening. A couple of hours after waking I took 100mg, then 100mg two hours later. I was feeling quite stoned. It's a deceptive high in that I think I'm all right, but I had to drive a bit and realized I wasn't doing this very well. I noticed my vision was affected in that things began to approach the 'trails' and lag of acid. I also felt a little dizzy and nauseated at times.
It feels pretty good, overall. As far as side effects go, tramadol does create 'hesitancy' to urinate. Not that I cant' go, just that it takes a bit more effort.  The drug also constricts my pupils.
For pain, though, this one seems to be nothing compared to the 800mg ibuprofen pills I was given for my pain associated with oral surgery: tramadol isn't very helpful, the ibu is.
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.


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[§520-1] Purpose. The purpose of this chapter is to encourage owners of land to make land and water areas available to the public for recreational purposes by limiting their liability toward persons entering thereon for such purposes. [L 1969, c 186, §1]
Case Notes
Cited: 557 F.2d 1308; 916 F. Supp. 1511.


test-tocdepth¶
hello |
world |
hello |
world |
print('hello world')
print('hello world')
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Figure%s
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table-1
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REVIEW: The Sound of One Hand Clapping (1998)
by Luke Buckmaster
3 stars out of 5
Note to readers outside Australia: The Sound of One Hand Clapping is an Australian film shot in Tasmania, and has been selected for the 1998 Berlin film festival. As far as I know, it has not yet been slated for a US release date.
>From the haunting book comes the haunting film The Sound of One Hand Clapping is by no ones standards an easy film to watch or enjoy. I havent read the book myself, but since the writer (Richard Flanagan) is also the films director, its a fairly safe bet that what is on the screen is in close context with what Flanagan has written.
36 year old Sonja Buloh hasnt had an easy path down the road of life her mother abandoned her at the age of two, had various physical and emotional troubles through childhood and was driven to move away from her alcoholic father Bojan when she was sixteen.  She discovers Bojan is distraught and aggrieved, drained of all emotion and resorting to a life of booze and cigarettes.
As Sonja begins to piece together hidden parts of her childhood, and the dark secrets of her families past, we begin to realize the severity of the pain has been subjected to. Through a draining collection of fragments from her own experiences, a detailed portrait of Sonjas suffering is powerfully painted.
The Sound of One Hand Clapping is a prime example of how one character can be carved into tragically different, isolated others. There are three main versions of Sonja Suloh the three-year-old (Arabella Wain), eight year old (Rosie Flanagan) and the present day Sonja (Kerry Fox). Through frequent flashbacks the film jumps to different times in her life, and what is impressive about this is that we are able to accurately feel the sadness and joy from most of her previous experiences. What is not impressive is that these versions of Sonja are separated far too much, so her character can never truly entrance us or keep us eagerly watching.
There are a few other things that irritated me about the film: the dialogue is bewildering and a little sluggish, _ is at times very unconvincing in her role and the Scooby Doo Family Mystery isnt all that entertaining.
What The Sound of One Hand Clapping does deliver, however, is consistent to the style it sets early in the film so if youre lucky, you can be impressed from start to finish. But on the other hand, you could hate it all too.
Either way, compliments have to be made: Kristof Kaczmarek brings an energetic and sensual presence to his role, Australian cinematographer Martin McGrath (A Little Bit of Soul, Muriels Wedding) successfully captures the beauty of the Tasmanian landscape and Cezary Skubiszewskis resplendent music composition is notably enjoyable.
If youre prepared to be exhausted and depressed by an overworked yet still impressive flick, The Sound of One Hand Clapping may hit the right note.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Kristen Stewart Rocked Nike Sneakers Underneath Her Red Carpet Dress
by Marina LiaoRed carpet rules like "no flats" don't apply to Kristen Stewart. She's known for taking her shoes off the red carpet, which we applaud because heel blisters suck, and she generally sticks to a more comfortable approach when dressing. Case in point: Stewart wore sneakers to the London premiere of Charlie’s Angels. The actress arrived in a strapless tartan Thom Browne look from the designer's resort 2019 collection, a black leather jacket, and Nike's classic Cortez running shoes. The dress strategically covered the shoes, so you couldn't see it unless she lifted up the hem.
The star was seen changing briefly into what looked like black heels, but her fans know that Stewart was likely back in those white kicks in a hot second. There's no doubt she worked with her longtime stylist Tara Swennen on perfecting this comfortable-but-still-red-carpet-star-approved ensemble.
So, the lesson here? The next time you're attending a fancy function, maybe swap those stilettos with a sneaker. Cite Kristen Stewart as your inspo if anyone gives you a hard time. After all, have you seen her in Charlie’s Angels?
Opt for comfort, always, with a pair of sneakers below:
Shoe Nike Classic Cortez
Nike nike.com
$70.00
SHOP IT
Kinetic Lace Sneaker by Sorel
Athleta athleta.gap.com
$130.00
SHOP IT
M2K Tekno Leather and Mesh Sneakers
Nike net-a-porter.com
$63.00
SHOP IT
Brooklyn Low-Top Chunky Sneakers
Ganni intermixonline.com
$350.00
SHOP IT
For more stories like this, including celebrity news, beauty and fashion advice, savvy political commentary, and fascinating features, sign up for the Marie Claire newsletter.


Birmingham City fined by FA after admitting charge
Blues and Cardiff City have been punished for failing to control their players during the recent Sky Bet Championship clash between the two sides
by Chris WatsonBirmingham and Cardiff City have been fined by the Football Association for failing to control their players during the recent Sky Bet Championship clash between the clubs.
Birmingham were fined £7,500 and Cardiff £5,000 after both clubs admitted the charge.
Cardiff accepted the standard penalty, while Birmingham requested a hearing.
The sanctions relate to an incident that occurred towards the end of the match at the Cardiff City Stadium on November 2.
Birmingham defender Harlee Dean was shown a red card in the third minute of added time for elbowing Joe Ralls, who scored a hat-trick in Cardiff's 4-2 victory , in an aerial duel.
Blues' appeal to overturn the sending-off was unsuccessful , with Dean currently serving a three-match suspension.
Following the clash, a melee ensued involving the two sets of players. Earlier in the game, Cardiff striker Danny Ward was also sent off.


The URL validation module validates the format of URLs in input fields.
Creates an input that validates URLs. Place this attribute on an input element. If users enters values that are not valid URLs, an error message appears. This directive uses NgModel to bind data.
Validates URLs in reactive forms. Add this validator directly to the form control model in the component class. If users enter values that are not valid URLs, the validator throws an error. Since this is a sync validator, it returns a set of validation errors or undefined immediately when users enter values.


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Hello, My name is Jacob Dokos. I graduated from Kansas State University in May of 2018. I am currently employed at Cerner as a System Engineer. I will use this website to detail any personal projects or anything else about my life.


--- layout: paper title: Publications --- Defining Words with Words: Beyond the Distributional Hypothesis, , Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP (RepEval) 2016 Best proposal award at RepEval [pdf]
@inproceedings{Parasca2016words, webnote={Best proposal award at RepEval}, month={August}, year={2016}, author={Parasca, Iuliana-Elena and Rauter, Andreas Lukas and Roper, Jack and Rusinov, Aleksandar and Bouchard, Guillaume and Riedel, Sebastian and Stenetorp, Pontus}, title={Defining Words with Words: Beyond the Distributional Hypothesis}, booktitle={Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP (RepEval)}, }


QPlaceContent Class
The QPlaceContent class serves as the base class for rich content types. More...
| Header: | #include <QPlaceContent> |
| qmake: | QT += location |
| Since: | Qt 5.6 |
| Inherited By: |
Public Types
| typedef | Collection |
| enum | Type { NoType, ImageType, ReviewType, EditorialType } |
Public Functions
| QPlaceContent() | |
| QPlaceContent(const QPlaceContent &other) | |
| virtual | ~QPlaceContent() |
| QString | attribution() const |
| void | setAttribution(const QString &attribution) |
| void | setSupplier(const QPlaceSupplier &supplier) |
| void | setUser(const QPlaceUser &user) |
| QPlaceSupplier | supplier() const |
| QPlaceContent::Type | type() const |
| QPlaceUser | user() const |
| bool | operator!=(const QPlaceContent &other) const |
| QPlaceContent & | operator=(const QPlaceContent &other) |
| bool | operator==(const QPlaceContent &other) const |
Detailed Description
The QPlaceContent class serves as the base class for rich content types.
Rich content such as images, reviews and editorials inherit from the QPlaceContent class which contains common properties such as an attribution string and content contributor, which may take the form of a user and/or supplier. It is possible that a user from a supplier is contributing content, hence both fields could be filled in simultaneously.
Note: Some providers may require that the attribution string be displayed to the user whenever a piece of content is viewed.
Conversion between QPlaceContent and it's subclasses can be easily performed without casting. Due to the way it has been implemented, object slicing is not an issue, the following code is valid:
QPlaceImage image; image.setUrl(QUrl("www.example.com")); QPlaceContent content = image; QPlaceImage image2; image2 = content; qDebug() << image2.url(); //image2.url() == "www.example.com"
The rich content of a place is typically made available as paginated items. The ability to convert between QPlaceContent and it's subclasses means that code which handles the mechanics of paging can be easily shared for each of the sub types.
At present the QPlaceContent class is not extensible by 3rd parties.
Note: The Places API considers content objects to be 'retrieve-only' objects. Submission of content to a provider is not a supported use case.
See also QPlaceImage, QPlaceReview, and QPlaceEditorial.
Member Type Documentation
typedef QPlaceContent::Collection
Synonym for QMap<int, QPlaceContent>. The key of the map is an int
representing the index of the content. The value is the content object itself.
The Collection
is intended to be a container where content items, that have been retrieved as pages, can be stored. This enables a developer to skip pages, for example indexes 0-9 may be stored in the collection, if the user skips to indexes 80-99, these can be stored in the collection as well.
enum QPlaceContent::Type
Defines the type of content.
| Constant | Value | Description |
|---|---|---|
QPlaceContent::NoType | 0 | The content object is default constructed, any other content type may be assigned to this content object. |
QPlaceContent::ImageType | 1 | The content object is an image. |
QPlaceContent::ReviewType | 2 | The content object is a review. |
QPlaceContent::EditorialType | 3 | The content object is an editorial |
Member Function Documentation
QPlaceContent::QPlaceContent()
Constructs an default content object which has no type.
QPlaceContent::QPlaceContent(const QPlaceContent &other)
Constructs a new copy of other.
[virtual]
QPlaceContent::~QPlaceContent()
Destroys the content object.
QString QPlaceContent::attribution() const
Returns a rich text attribution string.
Note: Some providers may require that the attribution of a particular content item always be displayed when the content item is shown.
See also setAttribution().
void QPlaceContent::setAttribution(const QString &attribution)
Sets a rich text attribution string for this content item.
See also attribution().
void QPlaceContent::setSupplier(const QPlaceSupplier &supplier)
Sets the supplier of the content.
See also supplier().
void QPlaceContent::setUser(const QPlaceUser &user)
Sets the user who contributed this content.
See also user().
QPlaceSupplier QPlaceContent::supplier() const
Returns the supplier who contributed this content.
See also setSupplier().
QPlaceContent::Type QPlaceContent::type() const
Returns the content type.
QPlaceUser QPlaceContent::user() const
Returns the user who contributed this content.
See also setUser().
bool QPlaceContent::operator!=(const QPlaceContent &other) const
Returns true if this content object is not equivalent to other, otherwise returns false.
QPlaceContent &QPlaceContent::operator=(const QPlaceContent &other)
Assigns the other content object to this and returns a reference to this content object.
bool QPlaceContent::operator==(const QPlaceContent &other) const
Returns true if this content object is equivalent to other, otherwise returns false.


It is a very quiet and picturesque place, with plenty of wild plants and trees.
Luccombe Chine area is situated between Shanklin Old Village and Bonchurch,
however the main road {A3055} which links the two does not go near to Luccombe and the only lane to Luccombe is now Private and not for public use.
There is just a handful of houses, one Hotel and a farm but it does have its own beach and Luccombe is considerably lower than the main road therefore it is easily missed if driving by.
(Source)
More info


The movie seems to distrust both the advances in genetic engineering and computer technology. This isn’t exactly an uncommon approach for science fiction movies where new advancement in science allows for x and y and no one considers the potentially disastrous results of misuse.
Nedry is the only person who did anything related to the computer systems at the park. Not only is he the only one in charge of the system, but the system has no failsafe and is used to run essential safety and security systems. This is the kind of computer system that you would have an entire department dedicated to. Especially if anyone’s lives could be at risk due to its failure. Failures on the scale of death also aren’t to be taken lightly. The fact that Nedry’s system failure leading directly to the death of a worker seems basically brushed off. In the real world they’d all be in handcuffs for negligence and workplace safety violations. One could say that there is an eerie similarity between this movie and the game Five Nights at Freddy’s in which you need to use electricity to keep a door shut. It’s almost like nightmare logic where after you wake up you realize the way you were dealing with the situation didn’t make any sense at all.
 In order to properly feed the dinosaurs one would guess that you had to bring back all kinds of insects and bacteria and plants. These are all biohazards and, somehow, no one bats an eye in the movie about genetic engineering. There isn’t the slightest consideration that everything they are dealing with is a potentially invasive species on an island that must be full of evolutionary biologists. They should consider themselves lucky that they didn’t release some devastating plague that would bring all of humanity to a hideous end.
The movie teaches three real lessons


1 write to RunspaceType
System.Management.Automation (1)
engine\debugger\debugger.cs (1)
4215
RunspaceType
= runspaceType;
1 reference to RunspaceType
System.Management.Automation (1)
engine\debugger\debugger.cs (1)
3773
PSMonitorRunspaceType runspaceType = nestedDebugger.
RunspaceType
;


STORE
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Products that are taxable by law


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Circumstances
External counsel costs
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Other counsel costs
Case type
Choose...
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Jurisdiction
Choose...
District Court
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Number of defendants
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Partner:
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SiversCSS is a tiny bit of CSS with no classes that just uses semantic HTML5 elements to give a very minimalist style for simple articles/blogs.
Heavily stolen from inspired by Derek Sivers, who's been
practising Brutalist Web Design
since before it was a thing.
The rest of the content that follows is taken from Derek Sivers website to give an example of the styles.
Yes my site is plain on purpose. It’s my minimalist desire for only what’s needed.
The world has given me enough. I don’t want more money or fame. I’m just giving back, and trying to live up to my lucky circumstance.
Me in 10 seconds
I’ve been a musician, producer, circus performer, entrepreneur, TED speaker, and book publisher.
I started CDBaby and HostBaby long ago. My short audio/book about it tells you everything I learned while starting, growing, and selling the business.
Introvert, slow thinker, and love finding a different point of view.
California native, I now live in Singapore.
Me in 10 minutes?
See my “about” page.
What am I doing now?
See my “now” page.
Contact me?
See why you should, though read my frequently asked questions, first.
Books
- Anything You Want (2011)
- 40 lessons for a new kind of entrepreneur: my tales of starting, building, and selling CD Baby
- Your Music and People (2018)
- a philosophy for musicians (and normal people) of getting your work to the world by being creative, considerate, resourceful, descriptive, focused, and connected
- Hell Yeah or No (2018)
- a collection of thoughts around re-defining yourself, changing focus, and saying yes to less
- How to Live (2018)
- radically different approaches to life, in succinct directives
Newest Articles see all
Popular Articles see all
My private email list
If you want the announcements and opportunities that I never post publicly, get on my private email list, here:
Projects see all projects
- Book Notes
- detailed notes from the last 250+ books I’ve read
- Now Now Now
- a collection of sites that have a “what I’m doing now” page
- MusicThoughts
- inspiring quotes about music, translated into Español, Français, Deutsch, Italiano, Português, Русский, العربية, 日本語, and 中文
Videos
- TED (ted.com)
- 3 short talks from the TED Conference.
- Anything You Want
- 7 short animations from my book “Anything You Want”.
- Uncommon Sense
- Entrepreneur lessons learned from starting, building, and selling CD Baby.
- Conference Presentations
- Talks from other conferences, all subjects.
Interviews
Through 2015, I got personal and poured my heart into 40 hours of interviews.
Each one has an MP3 you can download, or a transcript if you prefer to read.
Photos (click for big)
Tweets see all tweets
- September 8
- The code to my sites and database are now mirrored on GitHub: https://github.com/sivers Use anything you like.
- August 6
- You don't need confidence, just contribution. https://sivers.org/contrib
- August 2
- My definition of success: http://grantpirosblog.com/a-definition-of-success/ (thanks to Grant Piros for putting it succinctly)
- July 25
- New notes on four great books: https://sivers.org/book - especially “Story of Philosophy” and “Courage to be Disliked”.
- June 18
- Imagining a band: John Bonham, Jaco Pastorius, Bill Evans, Michael Hedges, and Björk, produced by Brian Eno.
- June 7
- Unlearning : https://sivers.org/unlearning
(micro.blog/sivers is a nice mirror of my posts.)


MAR-COF CG EXPECTORANT- codeine phosphate and guaifenesin syrup
Marnel Pharmaceutcals, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
| Active ingredients (in each teaspoonful (5 mL)) |
Purpose |
| Codeine Phosphate 7.5 mg |
Antitussive |
| Guaifenesin 225 mg |
Expectorant |
Uses
- temporarily relieves
- cough due to minor throat and bronchial irritation as may occur with a cold or inhaled irritants
- your cough to help you sleep
- helps loosen phlegm (mucus) and thin bronchial secretions to rid the bronchial passageways of bothersome mucus and makes cough more productive.
Warnings
Ask your doctor before use if
- you have a persistent cough, this may be a sign of a serious condition
- you have a persistent cough such as occurs with smoking, asthma, chronic bronchitis or emphysema
- you have a cough that is accompanied by excessive phlegm (mucus)
- you have chronic pulmonary disease or shortness of breath
- giving to a child who is taking other drugs
When using this product
- giving a higher dose than recommended by a doctor could result in serious side effects for your child. A special measuring device should be used to give an accurate dose of this product to children under 6 years of age
- may cause or aggravate constipation
Stop use and ask a doctor if
- symptoms do not improve within 7 days, tend to recur or are accompanied by fever and rash or persistent headache. These may be symptoms of a serious condition.
If pregnant or breast-feeding, ask a health professional before use.
Keep out of the reach of children. In case of overdose, get medical help or contact a Poison Control Center right away.
Directions
- do not exceed 6 doses in 24 hours.
| Adults and children 12 years of age and over |
1 ½ tsp (7.5 mL) every 4-6 hours |
| Children 6 to under 12 years of age |
¾ tsp (3.75 mL) every 4-6 hours |
| Children under 6 years of age |
Consult a doctor |
Other information
Each teaspoonful contains 6 mg of sodium. Store at controlled room temperature 15°-30°C (59°-86°F).
Inactive ingredients
Citric Acid, Flavors, Glycerin, Polyethylene Glycol, Povidone, Propylene Glycol, Purified Water, Sodium Benzoate, Sodium Citrate, Sodium Saccharin, and Sorbitol
PRINCIPAL DISPLAY PANEL - 473 mL Bottle Label
MARNEL
NDC 0682-0475-16
MAR-COF®CG
EXPECTORANT
ANTITUSSIVE
(cough suppressant)
EXPECTORANT
Each 5mL (one teaspoonful) for oral
administration contains:
Codeine Phosphate 7.5 mg
Guaifenesin 225 mg
CV
Alcohol-Free / Sugar-Free
TAMPER EVIDENT:
Do not use if imprinted
neckband is broken or missing.
16 fl. oz. (473 mL)
Marnel Pharmaceutcals, Inc.


Implementation Technology Specifications Component (ITS) - latest
Specifications
| Specification | Description |
|---|---|
REST APIs - latest |
|
An overview of various aspects of openEHR APIs. |
|
This specification describes service endpoints, resources, functions and operations as well as details of requests and responses that interacts with an openEHR EHR API in a RESTful manner. |
|
This specification describes service endpoints, resources, functions and operations as well as details of requests and responses that interacts with an openEHR Query API in a RESTful manner. |
|
This specification describes service endpoints, resources, functions and operations as well as details of requests and responses that interacts with the openEHR Definitions API in a RESTful manner. Definitions includes Archetypes, Templates and Operational Templates (OPTs). |
|
API specification as Blueprint files. |
|
Simplified Data Template (SDT) |
|
Simplified Data Template specification - a simplified data representation for committing data to the openEHR EHR. |
|
XML Schemas (XSDs) - Release 1.0.2 |
|
Stable (original) XML schema of the openEHR Reference Model Release-1.0.2. |
|
openEHR XSDs Release 1.0.2 on Github. |
|
XML Schemas (XSDs) - latest |
|
XML schema 1.0 of the openEHR Base Models Release-1.0.2. |
|
XML schema 1.0 of the openEHR latest Base Models (draft Release-1.1.0). |
|
XML schema 1.0 of the openEHR Reference Model Release-1.0.2. |
|
XML schema 1.0 of the openEHR Reference Model Release-1.0.3. |
|
XML schema 1.0 of the openEHR Reference Model Release-1.0.4. |
|
XML schema 1.0 of the openEHR latest Reference Model. |
|
XML schema 1.0 of the openEHR Archetype Model (ADL/AOM) 1.4. |
|
XML schema 1.1 the openEHR Archetype Model (ADL/AOM) 2.0.6 (latest). |
|
Simple XML format for templates (OET based) Release-1.0.1. |
|
Simple XML format for templates (OET based). |
|
XML schema 1.0 of the openEHR latest AQL Result_set model. |
|
openEHR XSDs on Github. |
|
Java |
|
Simple OET file parser in Java |
|
JSON Schema files - latest |
|
JSON Schemas of the openEHR Base Models Release-1.1.0. |
|
JSON Schemas of the openEHR Archetype Model Release-1.4. |
|
JSON Schemas of the openEHR Archetype Model Release-2.0.6. |
|
JSON Schemas of the openEHR Reference Model Release-1.0.4. |
|
JSON Schemas of the openEHR latest PROC component. |
|
openEHR Json schemas on Github. |
|
Basic-Meta Model files (BMMs) - latest |
|
BMM 2.x schema of the openEHR BASE component Release-1.0.0. |
|
BMM 2.x schema of the openEHR BASE component Release-1.1.0. |
|
BMM 2.x schema of the openEHR LANG component models Release-1.0.0. |
|
BMM 2.x schema of the openEHR Reference Model Release-1.0.2. |
|
BMM 2.x schema of the openEHR Reference Model Release-1.0.3. |
|
BMM 2.x schema of the openEHR Reference Model Release-1.0.4. |
|
BMM 2.x schema of the openEHR PROC component Release-1.0.0. |
|
openEHR BMMs on Github. |


MRS uses an implicit AND for multiple search terms. To create more complex queries you can enter boolean operators. The operators supported are AND (&), OR (|) and NOT (!). You can also combine terms using parenthesis. Please note that the operator names should be in upper case.
Parenthesis are also supported, i.e. you can now group boolean expressions together in more complex expressions.
'lysosyme OR lysozyme'
'lysozyme AND NOT kw:est'
'(lysosyme OR lysozyme) AND NOT kw:est'


ZenTest provides 4 different tools: zentest, unit_diff, autotest, and multiruby.
zentest scans your target and unit-test code and writes your missing code based on simple naming rules, enabling XP at a much quicker pace. zentest only works with Ruby and Minitest or Test::Unit. There is enough evidence to show that this is still proving useful to users, so it stays.
unit_diff is a command-line filter to diff expected results from actual results and allow you to quickly see exactly what is wrong. Do note that minitest 2.2+ provides an enhanced assert_equal obviating the need for unit_diff
autotest is a continous testing facility meant to be used during development. As soon as you save a file, autotest will run the corresponding dependent tests.
multiruby runs anything you want on multiple versions of ruby. Great for compatibility checking! Use multiruby_setup to manage your installed versions.
Scans your ruby code and tests and generates missing methods for you.
Includes a very helpful filter for Test/Spec output called unit_diff.
Continually and intelligently test only those files you change with autotest.
Test against multiple versions with multiruby.
Includes a LinuxJournal article on testing with ZenTest written by Pat Eyler.
See also: blog.zenspider.com/archives/zentest/
There are two strategeries intended for ZenTest: test conformance auditing and rapid XP.
For auditing, ZenTest provides an excellent means of finding methods that have slipped through the testing process. I’ve run it against my own software and found I missed a lot in a well tested package. Writing those tests found 4 bugs I had no idea existed.
ZenTest can also be used to evaluate generated code and execute your tests, allowing for very rapid development of both tests and implementation.
Setting up your project with a custom setup is easily done by creating a “.autotest” file in your project. Here is an example of adding some plugins, using minitest as your test library, and running rcov on full passes:
require 'autotest/restart' Autotest.add_hook :initialize do |at| at.testlib = "minitest/autorun" end Autotest.add_hook :all_good do |at| system "rake rcov_info" end if ENV['RCOV']
Do note, since minitest ships with ruby19, if you want to use the latest minitest gem you need to ensure that the gem activation occurs! To do this, add the gem activation and the proper require to a separate file (like “.minitest.rb” or even a test helper if you have one) and use that for your testlib instead:
.minitest.rb:
gem "minitest" require "minitest/autorun"
.autotest:
Autotest.add_hook :initialize do |at| at.testlib = ".minitest" end
If you prefer to suffix test files with “_test.rb” (instead of the default which prefixes test files with “test_”) you can change the mapping by installing the autotest-suffix plugin. To do this first install the autotest-suffix gem:
$ gem install autotest-suffix
Then add the following to the “.autotest” file:
require "autotest/suffix"
ZenTest MyProject.rb TestMyProject.rb > missing.rb ./TestMyProject.rb | unit_diff autotest multiruby_setup mri:svn:current multiruby ./TestMyProject.rb
Read this: blog.mmediasys.com/2010/11/24/we-all-love-colors/
Ruby 1.8+, JRuby 1.1.2+, or rubinius
A test/spec framework of your choice.
Hoe (development)
rubygems, 1.8+
diff.exe on windows. Use gnuwin32.sourceforge.net/packages.html
sudo gem install ZenTest
(The MIT License)
Copyright © Ryan Davis, Eric Hodel, seattle.rb
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


SUNDAY
BREAKFAST 2 slices Canadian bacon 1 whole-grain toaster waffle with sugar-free fruit spread 3/4 cup berries 1 cup skim milk SNACK 1/4 cup fat-free cottage cheese with 1/4 cup cherries and 1 tablespoon slivered almonds LUNCH Salad made with 2 cups baby spinach, 4 ounces grilled chicken, 1 tablespoon chopped dried cranberries, 3 slices avocado, 1 tablespoon slivered walnuts, and 2 tablespoons low-fat vinaigrette 1 apple 1 cup skim milk SNACK 1/4 cup plain fat-free Greek yogurt with 1 tablespoon sugar-free fruit spread and 1 tablespoon ground flaxseed 1/4 cup blueberries DINNER 4 ounces lean pork tenderloin stir-fried with onions, garlic, broccoli, and bell pepper 1/2 cup brown rice 5 medium tomato slices with 1 teaspoon each chopped ginger, chopped cilantro, light soy sauce, and rice wine vinegar


|
LiquidFun Programmer's Guide
|
About
Particles
Particle Groups
Discrete Particles vs. Particle Groups
Creating and Destroying Particles
Creating and Destroying Particle Groups
Particle Behaviors
Particle Properties
Rendering with OpenGL
The Particle module offers the ability to create and manipulate liquid or soft (deformable) bodies. It allows you to create (and destroy) particles with various behaviors and properties, and provides various methods for manipulating them. The module permits you to define particles discretely or as groups. It is designed to allow you to manipulate large numbers of particles efficiently.
A particle is round, and the minimal unit of matter in a particle system. By default, a particle behaves as a liquid. You can set behavioral flags, however, to assign different behaviors (explained in Particle Behaviors) to individual particles or groups of particles. You can also set other particle properties including position, velocity, and color.
The b2Particle.h
file contains the enumerated behavior values, as well as the variables specifying other particle properties. The corresponding enum is named b2ParticleFlag.
Instead of creating particles individually, you can create a group of particles to manipulate en masse. Some of the particle-group properties that you can set are the same as those for discrete particles: behavior, position, linear velocity, and color. There are also properties specific to groups: rotational angle, rotational velocity, and strength.
The b2ParticleGroup.h
file contains the declarations for all of these variables, as well as the enum for particle-group behavior: b2ParticleGroupFlag
.
With one main exception, there is no functional difference between working with individual particles and groups of particles. The exception is rigid particles: Because of the internal algorithm used to make particles rigid, you must define them as a group.
Particle groups do offer several conveniences.  If you do not create a group, you must create all of the particles individually. Also, a group allows you to assign the same property, such as angle of rotation, to all of its particles at once.
To create individual particles, create a b2ParticleDef
-struct object. Next, specify the behavior and properties of the particle. Finally, call the method to create the particle.
The following example creates an individual particle.
b2ParticleDef pd;
pd.flags = b2_elasticParticle;
pd.color.Set(0, 0, 255, 255);
pd.position.Set(i, 0);
int tempIndex = m_world->CreateParticle(pd);
Particle lists are self-compacting. Therefore, the index returned by CreateParticle is only valid until a lower-indexed particle, or a group referencing a lower-indexed particle, is deleted.
To destroy an individual particle, invoke the function
void DestroyParticle(int32 index);
The following example destroys the particle created above.
m_world->DestroyParticle(tempIndex);
A particle group begins life in a shaped container. You must therefore start a particle group definition by specifying a shape. Next, create a b2ParticleGroupDef-struct object. Then, specify the behavior and properties of the particle. Finally, call the method to create a particle group.
The following example creates five differently colored, box-shaped groups of particles.
b2ParticleGroupDef pd;
b2PolygonShape shape;
shape.SetAsBox(10, 5);
pd.shape =
pd.flags = b2_elasticParticle;
pd.angle = -0.5f;
pd.angularVelocity = 2.0f;
for (int32 i = 0; i < 5; i++)
{
pd.position.Set(10 + 20 * i, 40);
pd.color.Set(i * 255 / 5, 255 - i * 255 / 5, 128, 255);
world->CreateParticleGroup(pd);
m_world->CreateParticleGroup(pd);
}
To destroy a group of particles, invoke the function
DestroyParticleGroup(b2ParticleGroup* group);
The following example destroys all particle groups in the world.
b2ParticleGroup* group = m_world->GetParticleGroupList();
while (group)
{
b2ParticleGroup* nextGroup = group->GetNext(); // access this before we destroy the group
m_world->DestroyParticleGroup(group);
group = nextGroup;
}
The next several sections provide more information on how to define particle behaviors and properties.
Particle behaviors are defined either for entire groups of, or individual, particles.
For a group of particles, use the b2ParticleGroupFlag
enum, which provides two types of particle groups:
A solid particle group prevents other bodies from lodging inside of it. Should anything penetrate it, the solid particle group pushes the offending body back out to its surface.
You cannot define a particle group as only solid. It must have one of four other behaviors, as well: it must either be combined with the rigid-group behavior, or with the wall, spring, or elastic particle behavior.
To define a group combining solid- and rigid-group behaviors, use a single statement. For example:
pd.groupFlags = b2_solidParticleGroup | b2_rigidParticleGroup;
To define a group combining solid-group behavior with a given particle behavior, use two statements. For example:
pd.flags = b2_elasticParticle;
pd.groupFlags = b2_solidParticleGroup;
A solid particle group possesses especially strong repulsive force. It is useful, for example, in a case where:
Use the b2_SolidParticleGroup
flag of the b2ParticleGroupFlag
enum to specify a solid particle group. In many cases, a group will be defined as not only solid, but with additional behaviors, as well. For example, solid and elastic
Rigid particle groups are ones whose shape does not change, even when they collide with other bodies. Working with rigid particle groups confers a few advantages over simply working with rigid bodies: With a rigid particle group, you can:
Use the b2_rigidParticleGroup
flag of the b2ParticleGroupFlag
enum to specify a rigid particle group. For example:
pd.groupFlags = b2_rigidParticleGroup;
For individual particles, use the b2ParticleFlag enum. The b2ParticleFlag enum provides the flags described in the following sections. Note that different particle behaviors may exact different performance costs.
Elastic particles deform and may also bounce when they collide with rigid bodies.
Set particle behavior as elastic using the statement
pd.flags = b2_elasticParticle;
Color-mixing particles take on some of the color of other particles with which they collide. If only one of the two colliding particles is a color-mixing one, the other particle retains its pre-collision color.
The following example shows how color mixture is calculated. It shows the collision of two color-mixing particles: one red ("R") and one green ("G).
First, the system calculates deltaColor, which is the value by which each color will change.
deltaColor = colorMixingStrength * (B's color - A's color).
= 0.5 * ((0,255,0,255) - (255,0,0,255))
= 0.5 * (-255,255,0,0)
= (-127.5,127.5,0,0)
Then, it applies the delta to each particle
R's color += deltaColor
G's color -= deltaColor
As a result, both particles are now yellow:
A's color = (127.5,127.5,0,255)
B's color = (127.5,127.5,0,255)
Note that when one of the operations in step 2 results in a negative number, the system uses the absolute value of that number. When it results in a value over 255, it rolls over from zero.
Set particle behavior as color-mixing using the statement
pd.flags = b2_colorMixingParticle;
Powder particles produce a scattering effect such as you might see with sand or dust.
Set particle behavior as powder using the statement
pd.flags = b2_powderParticle;
Spring particles produce the effect of being attached to one another, as by a spring. Particles are "connected" in pairs. Each particle is connected to the one that was closest to it at time of creation. Once paired, particles do not change "partners." The farther an external force pulls them from one another, the greater the power with which they collide when that external force is removed. No matter how far particles get from one another, the connection between them does not "snap."
Set spring behavior using the statement
pd.flags = b2_springParticle;
Tensile particles are used to produce the effect of surface tension, or the taut curvature on the surface of a body of liquid. They might be used, for example, to create the surface tension you would see on a drop of water.
Once the tension is broken, the particles bounce as if they were elastic, but also continue to attract each other. As a result, particles tend to form clusters as they bounce.
Set tensile behavior using the statement
pd.flags = b2_tensileParticle;
Viscous particles exhibit clinginess or stickiness, like oil.
Set viscous behavior using the statement
pd.flags = b2_viscousParticle;
Wall particles are static. They are permanently stationary, even if something collides with them.
 All of the particles that you designate as zombies are destroyed at the same time, in a single iteration of the solver. Destroying particles in a batch, after designating them as zombies, yields better performance than destroying them one by one: Whereas destroying particles one-by-one takes (number of particles) * (time per particle) to complete, destroying them all in a batch takes the same time as it would to destroy a single particle.
In the following example, every other particle in a group is designated as a zombie, and will be destroyed in the next step of the solver. (For more information on the LiquidFun solver, see Chapter 1. Introduction.)
b2ParticleGroup*group= m_world->CreateParticleGroup(pd);
for (int32 i=0;i<group->GetParticleCount();i+=2)
{
group->GetParticleFlagsBuffer()[i] |=
b2_zombieParticle;
}
Note that you can assign multiple behaviors to a particle or group. Use the | ("bitwise OR") operator to chain behavior flags. For example:
pd.flags = b2_elasticParticle | b2_viscousParticle;
Set particle or particle-group color using the statement
pd.color.Set(r, g, b, a);
whose parameters set red, green, blue, and opacity, respectively. Each parameter takes a value of 0-255.
Set particle size using the statement
m_world->SetParticleRadius®;
where r
is a float32 value greater than 0.0f. Its default value is 1.0f.
There are two points to keep in mind when using small particles. First, in the case of particle groups, that particle size can affect performance. This is because the smaller the particle size, the larger the number of particles generated to constitute a group. Having a large number of particles, in turn, can diminish performance.
Second, small particles may behave unpredictably (i.e., break conservation of momentum) in scenarios such as explosions. Slowing these particles down by reducing gravity scale can stabilize their behavior.
Note that
Set gravity scale using the statement
m_world->SetParticleGravityScale(g);
where g
is a float32 value.
Set particle or particle-group position using the statement
pd.position.Set(x, y);
where x
and y
are the world-coordinates of the translation of the particle group.
For discrete particles, set velocity using the statement
pd.velocity.Set(x,y);
where x
is velocity along the x-axis, and y
is velocity along the y-axis.
For particle groups, set velocity using the statements
pd.linearVelocity.Set(x,y);
pd.angularVelocity = aV;
where x
is the group's velocity along the x-axis, y
is velocity along the y-axis, and aV
is the group's angular (i.e., rotational) velocity (expressed as radians per second).
This property applies only to rigid particle groups. It indicates the angle at which a group is tilted. Set angle with the statement
pd.angle = a;
where a
is the angle of tilt, expressed in radians. Left unspecified, the value defaults to 0.
Strength describes the cohesion of a group of particles. Set strength with the statement
pd.strength = s;
where s
is a float32 value between 0.0 (least cohesive) and 1.0 (most cohesive). The default value is 1.0.
The Particle module provides particularly efficient rendering via OpenGL.
Each type of particle property lives in a contiguous memory buffer. For example, all particles' position data live next door to one another, all color data live next door to one another, and so forth. Table 1 provides a visual representation of this storage.
**_Table 1. Memory Map of Particle Buffers_**
| Particle 1 | Particle 2 | Particle 3 | |
| Position | x1,y1 | x2,y2 | x3,y3 |
| Address | 0x00001000 | 0x00001008 | 0x00001010 |
| Color | r1,g1,b1,a1 | r2,g2,b2,a2 | r3,g3,b3,a3 |
| Address | 0x00002000 | 0x00002004 | 0x00002008 |
OpenGL can use these buffers directly in rendering.
In this example, OpenGL 1.1 would use glVertexPointer and glColorPointer to get the values from memory. OpenGL 2.0 would use glVertexAttribPointer.
OpenGL can be used to render either individual particles or particle groups.


Hello world!
24 Feb 2016The essential of programming is solving the problem. It gives you a method, a system approach and a clear thinking to solve your problem. Let’s imagine that we need to find the most valuable customers. At fist, we define what is the most valuable customers. Most valuable customers are the most profitable for company. They buy more than average. The second step, we calculate the value for each customer. The last, we compare values and show the result. We have tried to solve a problem, it’s real things happenned when you are programming.
Procedure
The most important thing in programming that I want to discuss fist is the procedure. Procedure is the way to do something and you can see it super alot in any program. A procedure can only do an additional operation or do alot of operations as search from the Internet. Procedure helps a program to do more and easier. Otherwise, it helps your life better. We can use procedure to learn how to programming with an instance language. Let me show you the steps to learn C (many other languages are C-like language).
1. Learn the C syntax
At first, we should start with “Hello World!” program.
After compile and run it, we can learn more syntax of a C program such as keyword, variant, repeat and branch commands.
2. Function
Function in C is really simple but you can do many things with it. A function has zero, one or more parameters. A function can only return one value.
3. Library
Library helps us saving time and effort when programming. So we should learn to use it instead of making ourself. Especially, we are living in the Internet Age.
It’s very simple procedure to learn C. And you can improve and apply this procedure to learn any other language.
Conclusion
The essential of programming is solving the problem. And a programming language is a tool for your brain to do that. To become master in any field, you should do it many times. So, keep doing.


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--- layout: page title: Spiral Servowriting permalink: /research/spiral-servo.html ---
Servowriting is a manufacturing process where the data tracks and servo sectors are defined on the disk platters by creating the servo patterns so that the HDD servo system can later use them to identify the tracks and servo sectors, and to measure the relative position of the read head to the track centerline, i.e., the Position Error Signal (PES). The HDD servomechanism generates the position feedback signal by using the servo patterns as reference, which are written on the disks when no reference is present on the disks or inside the HDD. There are several conventional mechanisms used to provide the reference while the servo writing is performed. The common one is to externally write the position (servo burst) and timing (synchronization mark) information onto the disk surface by means of a costly laser-guided push-pin mechanism which can accurately move the HDD actuator arm so that the write head is positioned on the desired tracks.
To obtain adequate servo pattern quality is the key to achieve high TPI (track per inch) of the hard disk drive products, thus improvement of the servo track writer performance becomes increasingly important. As the TPI gets higher and higher, servo writing takes a longer and longer time. This requires additional investment on servo track writer which translate to increase of the product cost. One way to solve the problem is to write spirals on the servo track writer and perform in-drive fill later in the self test chamber. The latter process is called self servo writing. Since spiral writes takes much shorter time on servo write, this greatly reduces the servo track writing time, thus the servo track writer cost.
To reduce the disturbance and to improve the servo accuracy, robust and high precision learning control algorithms have been developed for single and multiple spiral writing.


# 32022-10-15T17:14:36+03:00
|
Lower Bound |
Estimate |
Upper Bound |
| Value: |
237.56ns |
237.88ns |
238.20ns |
| Throughput: |
409.47MiB/s |
408.92MiB/s |
408.37MiB/s |
| Change in Value: |
+10.462% |
+11.178% |
+11.674% |
| Change in Throughput: |
-9.4708% |
-10.054% |
-10.454% |
No change in performance detected.
# 22022-10-15T16:49:36+03:00
|
Lower Bound |
Estimate |
Upper Bound |
| Value: |
213.06ns |
213.39ns |
213.76ns |
| Throughput: |
456.56MiB/s |
455.85MiB/s |
455.06MiB/s |
| Change in Value: |
+1.6915% |
+2.1422% |
+2.8027% |
| Change in Throughput: |
-1.6634% |
-2.0973% |
-2.7263% |
No change in performance detected.
# 12022-10-08T17:26:21+03:00
|
Lower Bound |
Estimate |
Upper Bound |
| Value: |
209.13ns |
209.40ns |
209.80ns |
| Throughput: |
465.14MiB/s |
464.54MiB/s |
463.66MiB/s |
| Change in Value: |
-8.1693% |
-6.4900% |
-4.9329% |
| Change in Throughput: |
+8.8961% |
+6.9404% |
+5.1889% |
No change in performance detected.
# 02022-10-08T17:07:19+03:00
|
Lower Bound |
Estimate |
Upper Bound |
| Value: |
217.82ns |
221.36ns |
225.55ns |
| Throughput: |
446.59MiB/s |
439.45MiB/s |
431.28MiB/s |