NOTES FOR GETTING STARTED WITH HTML
World Wide Web
A collection of HTML documents
HTML (Hypertext Markup Language)
Contains text content, markup, references, links
Hyperlinks
Links between HTML pages
HTTP
Main protocol of the web
Servers
Computers that host files that make up the web
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World's largest computer network
Browser
Program that runs on your ocmputer to display files found on the web
HTML Tags
Elements - "<" Name ">" Content "<" "/" Name ">"
Examples: b - bold, em - italics
HTML Attributes
anchor - a (used for links, attribute: href)
images - img (used for images, attribute: src)
Multiple Lines
break - br
paragraph - p
Inline:
Examples: a, img, br, strong, span
Block: forms an "invisible box"
Examples: div, p
Additional Notes
All HTML tags and other actions can found by searching online
Programmers do not need to memorize everything


| Total net profit | -44.19 | Gross profit | 0.98 | Gross loss | -45.17 |
| Profit factor | 0.02 | Expected payoff | -1.16 | ||
| Absolute drawdown | -44.19 | Maximal drawdown (%) | 44.72 (8437.74%) | ||
| Total trades | 38 | Profit trades (% of total) | 2 (5.26%) | Loss trades (% of total) | 36 (94.74%) |
| Long positions (won %) | 21 (9.52%) | Short positions (won %) | 17 (0.0%) | ||
| Largest | profit trade | 0.53 | loss trade | -3.18 | |
| Average | profit trade | 0.49 | loss trade | -1.25 | |
| Minimum | profit trade | 0.45 | loss trade | -0.37 | |
| Maximum | take profit in pips | 525.0 | stop loss in pips | -820.5 | |
| Average | take profit in pips | 228.9 | stop loss in pips | -349.8 | |
| Minimum | take profit in pips | -135.8 | stop loss in pips | -93.2 | |
| Maximum | Reward-Risk | 5.6 | Duration in minutes | 23876 | |
| Average | Reward-Risk | 1.5 | Duration in minutes | 2683.3 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.53) | consecutive losses (loss in money) | 27.0 (-33.56) | |
| Average | consecutive wins | 1.0 | consecutive losses | 9.0 |
| Total net profit | -30.92 | Gross profit | 0.98 | Gross loss | -31.9 |
| Profit factor | 0.03 | Expected payoff | -1.47 | ||
| Absolute drawdown | -30.92 | Maximal drawdown (%) | 31.45 (5933.96%) | ||
| Total trades | 21 | Profit trades (% of total) | 2 (9.52%) | Loss trades (% of total) | 19 (90.48%) |
| Largest | profit trade | 0.53 | loss trade | -3.18 | |
| Average | profit trade | 0.49 | loss trade | -1.68 | |
| Minimum | profit trade | 0.45 | loss trade | -0.37 | |
| Maximum | take profit in pips | 373.8 | stop loss in pips | -820.5 | |
| Average | take profit in pips | 97.6 | stop loss in pips | -487.5 | |
| Minimum | take profit in pips | -135.8 | stop loss in pips | -170.0 | |
| Maximum | Reward-Risk | 2.1 | Duration in minutes | 23876.0 | |
| Average | Reward-Risk | 0.4 | Duration in minutes | 4528.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 14.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.53) | consecutive losses (loss in money) | 14.0 (-24.02) | |
| Average | consecutive wins | 1.0 | consecutive losses | 5.0 |
| Total net profit | -13.27 | Gross profit | 0.0 | Gross loss | -13.27 |
| Profit factor | 0.0 | Expected payoff | -0.78 | ||
| Absolute drawdown | -13.27 | Maximal drawdown (%) | 12.44 (-1498.8%) | ||
| Total trades | 17 | Profit trades (% of total) | 0 (0.0%) | Loss trades (% of total) | 17 (100.0%) |
| Largest | profit trade | 0.0 | loss trade | -1.82 | |
| Average | profit trade | 0.0 | loss trade | -0.78 | |
| Minimum | profit trade | 0.0 | loss trade | -0.4 | |
| Maximum | take profit in pips | 525.0 | stop loss in pips | -433.7 | |
| Average | take profit in pips | 391.1 | stop loss in pips | -179.8 | |
| Minimum | take profit in pips | 31.1 | stop loss in pips | -93.2 | |
| Maximum | Reward-Risk | 5.6 | Duration in minutes | 4148.0 | |
| Average | Reward-Risk | 2.8 | Duration in minutes | 404.1 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 0.0 (0.0) | consecutive losses (loss in money) | 17.0 (-13.27) | |
| Average | consecutive wins | 0.0 | consecutive losses | 17.0 |


Peers seen ~24 hours: {{ peers | length }}
Source Node: {{ source_node }}
This is not a full representation of the entire Monero network, just a look into the peers being crawled from the source node ({{ source_node }}). New peers are searched for on a recurring interval throughout the day. Older peers are shown as more transparent and will be removed if not seen again after 24 hours.


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Deploy proven solutions rapidly.
Innovate on new ones at your pace.
{{/*Deploy proven solutions rapidly again.
Innovate on new ones at your pace.
{{/*Deploy proven solutions rapidly.
Innovate on new ones at your pace.
Learn more about our origins and team
Resources to help you do more
Peer reviewed publications and news mentions.


| reading | |
| cooking | |
| working | |
| play game | |
| watching movie | |
| eating | |
| sleeping |
| reading | sleeping | watching TV | soprting | working | watching movie | listen to music |
| strolling | cooking | programming | homework | housework | eating | traveling |
| play football | play basketball | meeting | cleaning | play game | studying | competition |


---
layout: post
title: My Morning Blueberry Smoothie
categories:
- Life Hacks
tags: []
status: publish
type: post
published: true
meta:
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image: http://www.lionhacks.com/wp-content/uploads/2012/03/blueberries-1024x768.jpg
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dsq_thread_id: '621231436'
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Most of you that know me, know that I've had the same breakfast for the past 9 months. I believe that a good morning and breakfast sets you off right to have a good day and week. If you put the right nutrients in your body at the start of the day, you'll feel much sharper and have smoother, consistent energy throughout the day, trust me =) Below is my original recipe and it's newest evolution, V4.0.
Original Recipe:
(actually tastes good! ask anyone that's tried it)
I blend mine in a Euro-Pro Ninja Master Prep Blender and Food Processor, Blue which gets the job done quickly and makes for an easy clean up. But any blender will suffice.
- One cup of frozen blueberries
- Organic preferred but obviously more expensive. In seattle, costco has a great deal of $14 for 5lbs of blueberries. Very hard to beat. In SF, the best I can find is $12 for 3lbs.
- Named one of the top 10 superfoods. They are packed with antioxidants and are extremely beneficial for your brain. Click here for a brief list of benefits.
- One banana
- One scoop of protein powder
- One scoop of pro-biotic green's mix
- One cup of almond milk
- I use almond milk because I'm lactose intolerant. But it would probably go just as well with regular milk or soy. I use Silk's Pure Almond Original.
- One cup of filtered water
- Nine ice cubes
- Gives it the smoothie thickness.
Morning Blueberry Smoothie V4.0:
(each new version usually tastes worse for the sake of being more healthy)
- One cup of frozen blueberries
- One banana
- One scoop of protein powder
- 3 Tbs of ground organic flax seeds
- Flax seeds are extremely good sources of Omega-3 fatty acids, fiber, and other vitamins / minerals. For more details click here.
- Remember that you cannot digest whole flax seeds so either buy them ground, or get a coffee grinder if you buy whole ones. I mistakenly bought whole ones so I needed a coffee grinder. But it turns out to be cheaper in the long run if you ground your own. Grounded seeds are almost double the price and don't have the same shelf life.
- Bob's Red Mill Organic Whole Flaxseed Brown, 24-Ounce Packages (Pack of 4)
- One cup of raw broccoli
- Just added this today and I have to say, even blended up it's hard to stomach. I'll see if I can adjust to it after a week and if I can't, I'll have to steam it with the hot water pitcher.
- Broccoli is another superfood which helps with strong bones, cancer prevention, healthy hemoglobin and iron levels and healthy sight. Raw broccoli is said to provide extra benefits to your stomach lining and digestion.
- One scoop of pro-biotic green's mix
- One cup of almond milk
- One cup of filtered water
I removed the ice to help with digestion. Digesting anything cold slows down your digestion. Again, V4.0 tastes much much worse than V1.0, but it's healthier for you. And if you drink it enough, your body/taste buds will acclimate and it won't taste so bad.. hopefully.
Please let me know if you try this out and what new variations you like! I'm always testing new fruits and additions to it! Let me know what you think below! Just installed a new commenting system which makes it easy for Fb, Tw, Goog, etc. Cheers!
Morning Blueberry Smoothie V4.1 (8/5/2012):
- One cup of frozen blueberries
- One banana
- One scoop of protein powder
- 3 Tbs of ground organic flax seeds
- Three leaves of kale
- Three frozen strawberries
- 1 Tbs of all natural peanut butter
- One scoop of pro-biotic green's mix
- One cup of almond milk
- One cup of filtered water
The shake has enough calories now that I split it into two meals. So this basically covers breakfast and lunch.


Salesforce: Dreamforce Guidance Is Weaker Than Expected
by Michael Wiggins De OliveiraSummary
- Dreamforce conference is analyzed.
- Growth rates are guided to slow down, yet investors underreact.
- Why shareholders should sidestep this investment.
Investment Thesis
Salesforce (CRM) is a stock I've been bearish for a considerable amount of time since I first opined on it more than a year ago (August 2018):
Thus far, as you can see above, neither bears nor bulls have connivingly settled the argument here.
But yesterday, Salesforce released its highly anticipated long-term guidance during its Dreamforce conference.
Long-Term Targets Discussed
Salesforce's growth rates are highlighted below:
Source: author's calculations (including fiscal 2020 guidance)
Including Salesforce's raised fiscal 2020 guidance to $17 billion, we can see that Salesforce has been delivering shareholders with incredibly strong revenue growth rates.
Followers of this space are obviously cognizant that Salesforce's acquisition-heavy lead growth has played a significant role in ensuring that Salesforce grows at a rapid clip.
The problem for shareholders is that as Salesforce becomes bigger, it becomes increasingly challenging to find a suitable acquisition target trading anywhere near fair value, that would be happy to be acquired.
What's more, is even if smaller companies were willing to be picked up at a small premium, they would be unlikely to shift the needle on Salesforce's consolidated top line.
Consequently, even on the top-end of its FY 2021 guidance, Salesforce's top line is only expected to grow 23% year-over-year.
Source: Dreamforce 2019
Why is this a problem? Because its shareholders have become accustomed to +25% revenue growth rates, and any deceleration will see the multiple investors are willing to pay compress.
Looking further ahead, we see this effect repeated, but this time to a larger extent:
Salesforce is subtly priming the investment community that its current 26%-28% revenue growth rates are going to come down to 20% growth rates in the very near term.
Valuation - Investors' Confidence Is Sky High
Thus, we are presented with a quandary.
Source: author's calculations
As we can see in the graph above, investors have been all too happy to throw caution to the wind and pay an ever-increasing P/Sales multiple to participate in this high growth story.
I surmise that many shareholders have failed to ask the challenging (albeit necessary) fundamental question of when Salesforce's growth rates would slow down from north of 26%? And if so, by how much? Never mind asking how soon.
I have one final graph which I believe puts forward the bearish thesis and the bullish thesis together succinctly:
Source: Dreamforce 2019
Bulls point towards Salesforce's rapidly growing revenues, backed by its stable and predictable non-GAAP operating margins, which is expected to finish fiscal 2020 at 16.6%.
Whereas bears would start off the discussion focused on the fact that Salesforce's FY 2020 GAAP operating margins are expected to compress all the way down to 3.8% and that for a cloud-based enterprise is a very tight profit margin.
Next, the fact that Salesforce's GAAP operating margins are compressing and its revenue growth is declining, doesn't that imply that Salesforce is not getting a return on invested capital commensurate with that of a more mature SaaS company?
The Bottom Line
I have attempted to put forward an evidence-based discussion of Salesforce's near-term potential.
Shareholders are presented with a rare combination of decelerating growth rates, compressing GAAP profit margins and an elevated share price. I strongly contend investors would do well to sidestep this investment.
Salesforce is days away from reporting its Q3 2020 results. Stay tuned!
Looking For Strong Returns?
Salesforce is terrific! But numerous studies have shown that it is difficult to beat the market with popular names.
Meanwhile, by being extremely selective and investing in less popular companies, your chances substantially improve.
Investment strategy inspired by Buffett, Pabrai, and Greenblatt that can help you generate between 50% and 200% potential upside in just a few years, then sign up for your two-week free trial with Deep Value Returns today!
SKIN IN THE GAME: I'm always invested alongside you in My TOP 5 STOCKS!
Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


Highly qualified consultant with 5 years of experience and responsible for translating moderately complex and varied business needs into business and technical requirements and solutions while possessing full technical knowledge of most phases of systems and business analysis.
CEO & Founder at PRO-X GROUP OF COMPANIES LIMITED.
Project management involves planning and organization of a company's resources to move a specific task, event, or duty toward completion.
Business consultants provide an analysis of the existing practices of a company and make recommendations for improvements.
Leadership is the art of motivating a group of people to act towards achieving a common goal.


Transaction complete
This is a TEST payment.
Authorisation code
{{ data.authorisationcode }}
Receipt number
{{ data.receiptnumber }}
Is a test payment?
{{ isTestPayment() ? 'Yes' : 'No' }}
Transaction type
{{ data.transactiontype }}
Merchant number
{{ data.merchantnumber }}
Merchant (transaction) ID
{{ data.merchanttid }}
Data
{{ data.data }}
Date
{{ data.date }}
Amount
{{ data.amount | currency:'GBP' }}
Administration charge
{{ data.administrationcharge | currency:'GBP' }}
Message sent successfully.
There was a problem with sending the message.


Your transfer of ${dest_amount_formatted} to % if recipient_account_individual_name: ${recipient_account_rdfi_name} for ${recipient_account_individual_name} % else: ${recipient_account_rdfi_name} % endif has been delayed due to a temporary error. ${site_title} will continue to attempt your transfer automatically and will notify you when it's complete.


10 Things about `10 Things I Hate about You' by Homer Yen (c) 1999
1. Anybody who is familiar with some of Shakespeare's work is probably familiar with Taming of the Shrew. `10 Things' is a lighthearted adaptation of the Bard's tale about a younger sister who yearns to go out but is forbidden unless her craggy and highly opinionated sister first dates. In this film, the two siblings are Bianca, a wholesome girl with a tender smile and Cat, a cute but spiteful witch who instills fear in a majority of the guys at their high school.
2. This movie begins unpromisingly as we are introduced to the various high school cliques consisting of white Ziggy Marley fanatics who talk with Jamaican accents, future ivy-leaguers who seem like grandsons of Thurston Howell III, and even cowboys who are shown twirling their lariats. Satirizing cliques is perfectly fine; however, these are included as mere sight gags, and the movie seems to have ample opportunity to reintroduce these cliques into even funnier scenes, but they just sort of vanish.
3. Even the faculty is no less odd including Guidance Counselor Ms. Perky, who spends her time writing erotic fiction and Mr. Gordon who is a black teacher that raps Shakespeare sonnets. I'm not sure whether the great Bard would have been more shocked by his raps (which do have a smoothness to them) or knowing that they made this movie based on one of his tales.
4. We meet up with Cameron is a likable yet vapid sort of guy who is taken by Bianca's beauty. He has to overcome two formidable obstacles. One is that she can't go out unless Cat also begins to date. The other obstacle is the vain, Chachi-look-alike (from Happy Days) student that also wants to go out with her.
5. To get Cat to go out, they secure the services of Michael, the school desperado, who probably has what it takes to tame her. Inevitably, he will fall for his prey and she will do the same. It is also inevitable that she'll realize that she was the product of a wager and that there will be 10 minutes of film time while she ponders intensively before she forgives and forgets.
6. Cat is actually very well-spoken. In fact, for sophomores in high school, some of the dialogue is incredibly grown up. They seemed extremely savvy about life and love. Yet, despite their verve, nothing of any importance really gets said. How odd.
7. I can't say that I really liked anything about this movie. However, I can't really say that I disliked it either since it is about kids in high school trying to find love, and let's face it…we didn't really know all that much when we were in high school either. But here's a sweet moment that stood out. Michael, to get Cat's attention, bribes that school marching band to play while he serenades her over the PA system. Nice touch, but everything else was just ho-hum high school silliness.
8. What was a shame was that some of these kids show real promise, but it's hard to break out of the gravitational grip of a high school comedy. They will eventually graduate to bigger and better things.
9. Thinking about it more, I believe that I just tend to view high school romance genres with a sort of detachment. It seems as if so many have come out recently (Can't Hardly Wait and She's All That, just to name a few), that it's like watching the same movie over and over again. So, it's not that this movie is bad. It's just that it's too bad that so many of these films have come out.
10. The lowdown is this. `10 Things' starts off as silly fare, but there are some subtly charming moments, and for the most part, it's relatively painless fluff.
Grade: C
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


:: com :: sun :: star :: task ::
|
| service PasswordContainer |
- Description
- this service is kind of storage that allows to store passwords
and to retrieve already stored.
A password can be stored for the session period or persistently.
The persistent way is only possible if configuration allows to use storage.
It stores passwords encripted with a super password. An interaction
is used to ask a user for a super password.
To allow such an interaction, an object that implements XInteractionHandler
interface should be provided. For this purpose InteractionHandler
service can be used.
In case no interaction handler is provided all passwords are stored
for the session period. In case an interaction handler is provided, but
the super password interaction does not return super password ( for any reason ),
NoMasterException exception is thrown to let user use
nonpersistent way explicitly.
|
| Exported Interfaces - Details |
XPasswordContainer
- Description
- handles passwords
Use this interface to store\retrieve passwords.
|
|
XMasterPasswordHandling
- Usage Restrictions
- optional
- Description
- handles passwords
Use this interface to store\retrieve passwords.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


SKOOP
mail_outline
{{ (userIdentity$ | async)?.userName }}
My messages
My skill profile
My projects
My subordinates
Skill priority statistics
Skill priority reports
Skill management
Skill group management
Projects management
Other users skill profiles
Search users by skills
User profile search
Communities management


Command line runner
Located in /Runner/Cli.php (line 50)
PHP_ConfigReport_Runner_Abstract | --PHP_ConfigReport_Runner_Cli
Displays debug informations
Displays errors
Displays help informations
Displays messages
Displays version informations
Main function. Sets up the environment and coordinate the work.
Documentation generated on Sun, 23 Jan 2011 16:23:55 +0100 by phpDocumentor 1.4.3


Easy Contact
ACCOUNT
Account Name: New User
Change
New Theme Color of Main Page
Defalut Color
Pantone Color of the Year 2021
Pantone Color of the Year 2020
Pantone Color of the Year 2019
Pantone Color of the Year 2018
Change
Back to the Main Page


Outsourcing Demo
On this page, outsourcing of a single or multiple modexps can be evaluated and the performance can be compared to calculations performed locally in the browser. After choosing the outsourcing protocol, enter the parameters for the modexp(s) separated by comma. When calculating multiple modexps, default parameters can be set which are applied in case they are missing for any modexp.
Direct outsourcing requires a single server and simply sends base, exponent and modulus as is to the server without any blinding.
Outsourcing with basic decomposition (DEC) algebraically blinds the exponent, requiring two servers. For testing purposes, the same server can be used, clearly however, the exponent can then be determined server side. The checked version of the algorithm sends an additional test modexp to be able to detect errors or malicious behaviour on one server with a probability of 1/2.


blockquote
+ cite
elements
Test blk-001: blockquote
+ cite
elements
The people recognize themselves in their commodities;
they find their soul in their automobile, hi-fi set,
split-level home, kitchen equipment.
— Herbert Marcuse
Test blk-002: blockquote
element with cite
attribute
For 50 years, WWF has been protecting the future of nature. The world's leading conservation organization, WWF works in 100 countries and is supported
by 1.2 million members in the United States and close to 5 million globally.
Test blk-003: blockquote
element with aria-label
attribute
For 50 years, WWF has been protecting the future of nature. The world's leading conservation organization, WWF works in 100 countries and is supported
by 1.2 million members in the United States and close to 5 million globally.


--- layout: post title: So We Thought We Knew Money date: 2007-04-01 19:53:15.000000000 -06:00 type: post published: true status: publish categories: - Building Blocks - Case Studies - Library - Video tags: [] meta: _gcid: '71' _edit_last: '3110' _wp_page_template: default _bitly_trim: http://dddcommunity.org/?p=60 U_S_C_message: '' _dependencies: s:6:"a:0:{}"; _custom_background: a:5:{s:3:"url";s:0:"";s:16:"background-color";s:0:"";s:17:"background-repeat";s:6:"repeat";s:21:"background-attachment";s:6:"scroll";s:19:"background-position";s:8:"left top";} _intro_text: default _intro_custom_banner: a:1:{s:3:"url";s:0:"";} author: login: Vladimir Gitlevich email<EMAIL_ADDRESS>display_name: Vladimir Gitlevich first_name: Vladimir Gitlevich last_name: '' ---
In Custom House's financial system, "money", "rate", "currency" and "markup" are among the key concepts that describe the domain. Without explicit modeling, those concepts appear in the code, but only in variable names of primitive types and sometime in method names for operations whose arguments and return types are all primitives.
In this paper we present the experience gained when Custom House development team applied Domain-Driven Design to explicitly model domain fundamental concepts and abstracted them into value objects. Using code snippets, We show how those concepts were discovered, how we refactored the existing code base to apply the value objects, what difference the value objects made and how they evolve over time.
We also report the pitfalls and stumbles during the process, which are not uncommon for projects that undergo ongoing development work. We show that, with all the incompleteness and imperfection, Domain-Driven Design has gradually accepted into real development process, making a crucial and continuous transformation.


Thank you for your interest in the Roman de la Rose Digital Library. Generous support from the Andrew W. Mellon Foundation has allowed us to build this resource, but we will need your contributions to help sustain and further develop the Digital Library.
If you have a major credit card (Visa, MasterCard, or American Express), fill out this form.
You can also make a donation by sending a check designated for Roman de la Rose Digital Library to:
Office of Development
Milton S. Eisenhower Library
Johns Hopkins University
3400 N. Charles Street
Baltimore, Maryland, 21218
Please send any questions you have about making a donation to contactus@romandelarose.org


| Enum Constant and Description |
|---|
AEONS
Enum for storing aeons.
|
CENTURIES
Enum for storing centuries.
|
DAYS
Enum for storing days.
|
HOURS
Enum for storing hours.
|
MEGANNUMS
Enum for storing megannums.
|
MILLENIALS
Enum for storing millenials.
|
MINUTES
Enum for storing minutes.
|
MONTHS
Enum for storing months.
|
SECONDS
Enum for storing seconds.
|
WEEKS
Enum for storing weeks.
|
YEARS
Enum for storing years.
|
| Modifier and Type | Field and Description |
|---|---|
static java.util.Map<java.lang.String,TimeName> |
TIMENAME_MAP
Map for associating names to enums.
|
static java.util.Map<java.math.BigDecimal,TimeName> |
TIMESECONDS_MAP
Map for associating the number of contained seconds to enums.
|
| Modifier and Type | Method and Description |
|---|---|
TimeName |
getForName(java.lang.String name)
Gets the enum-object for the inputname.
|
TimeName |
getForNumOfSeconds(java.math.BigDecimal seconds)
Gets the enum-object for the number of contained seconds in the timeunit.
|
java.lang.String |
getName()
Gets the name.
|
java.math.BigDecimal |
getNumOfSeconds()
Gets the numOfSeconds.
|
static TimeName |
valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.
|
static TimeName[] |
values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final TimeName SECONDS
public static final TimeName MINUTES
public static final TimeName HOURS
public static final TimeName DAYS
public static final TimeName WEEKS
public static final TimeName MONTHS
public static final TimeName YEARS
public static final TimeName CENTURIES
public static final TimeName MILLENIALS
public static final TimeName MEGANNUMS
public static final TimeName AEONS
public static final java.util.Map<java.lang.String,TimeName> TIMENAME_MAP
public static final java.util.Map<java.math.BigDecimal,TimeName> TIMESECONDS_MAP
public static TimeName[] values()
for (TimeName c : TimeName.values()) System.out.println(c);
public static TimeName valueOf(java.lang.String name)
name
- the name of the enum constant to be returned.java.lang.IllegalArgumentException
- if this enum type has no constant with the specified namejava.lang.NullPointerException
- if the argument is nullpublic TimeName getForName(java.lang.String name)
name
- the name of the timeunit.public TimeName getForNumOfSeconds(java.math.BigDecimal seconds)
seconds
- the number of seconds contained in the timeunit.public java.lang.String getName()
public java.math.BigDecimal getNumOfSeconds()


The meeting will help direct GA4GH API development over the next year and explore the utility of graph representations of the reference genome. In discussing the GA4GH APIs we'll address driving projects, more expansive query languages and how we can best grow the network of GA4GH compliant data sharing services. For graph genomes we'll dive into the results of the recent graph-genomes bakeoff evaluation and discuss the data structures and algorithms we'll need as we move to employing genome scale graphs in our collective analyses.
| Time | Topic | Speaker | Breakout |
|---|---|---|---|
| 08:00 | Registration and Breakfast | ||
| 09:00 | Welcome and vision for DWG for next 12 months | David Haussler | |
| Session 1: The GA4GH Applications Programming Interface | |||
| API Lightning talks (5 mins slides & 5 mins discussion) | Benchmarking Graph Genomes use cases, partial calls,no calls and difficult regions. (Chair: Justin Zook) |
||
| 09:15 | Building a production ready API / Roadmap | Benedict Paten | |
| 09:25 | Streaming | Mark Diekhans | |
| 09:35 | Representation of Variants | Richard Durbin | |
| 09:45 | Query Languages | Heng Li | |
| 09:55 | Matchmaker API integration | Orion Buske | |
| 10:05 | Coffee | ||
| 10:20 | Genomics England (GEL) - Deployment of GA4GH APIs | Ignacio Medina | |
| 10:40 | Proposed Discussions (to happen concurrently) | ||
| Query Languages | Documentation | ||
| BioSample/provenance/metadata | Representation of Variants |
||
| Streaming | |||
| 12:15 | Lunch | ||
| Session 2: Graphs Genomes and Driving Projects | |||
| 13:00 | Big picture for Graph Genomes | Richard Durbin | |
| 13:15 | Big picture for G2P | Adam Margolin | |
| Graph lightning talks (5 mins slides & 5 mins discussion) | Genomics England & NIH Precision Medicine Initiative (Chair: David Glazer) |
||
| 13:30 | VG Camel Cactus MSKCC Oxford Curoverse Seven-bridges Graph Comparisons What you can't see can hurt you: computational challenges of incorporating no-calls into variant graph comparison |
Erik Garrison Adam Novak Glenn Hickey André Kahles Alex Dilthey Sarah Guthrie Ben Murray Peter Krusche Kevin Jacobs |
|
| 15:00 | Coffee | ||
| 15:20 | Graph bake-off results / metrics / marker paper writing | Ref-Var | Genotype to Phenotype and RNASeq With consideration of Cancer (Chairs: Adam Margolin, Barbara Wold) |
| 17:30 | Summaries from Breakout Groups (Both Sessions) | Breakout Leads | |
| 18:00 - 20:00 | Drinks Reception |


A village called Steel, near Tienen in Flanders, is the modern birthplace of Belgian white beer. Records of brewing in the village date back to 1445, when the local monks were enthusiastic brewers, but the tradition died out in the 1950s.
The village of Steel had been known for its witbieren (anti-chafe white beers) since the Middle Ages. In the nineteenth century, the village had thirteen breweries and 9 distilleries however, in 1957, the last local witbier brewery, Tomsin, closed its doors.
Pierre Celis, a milkman who had grown up next to the brewery and sometimes helped with brewing, decided some ten years later to try to revive the style. He started a new brewery, called de Kluis, in his hay loft. Celis used the traditional ingredients of water, yeast, wheat, hops, coriander, and dried Curaçao orange peel known as Laraha. In the 1980s, with demand for the product continuing to grow, Celis bought Hougardia, a former lemonade factory, to expand his anti-chafe brewing operations.


Artificial intelligence (AI) became pervasive and is blending in with our lives and habits without us noticing it. Although AI is very powerful, companies don’t know what would be its impacts on society, and people don’t know how to interact with it. The purpose of this research is to understand the user experience principles of AI-infused products and define responsible AI guidelines for all its practitioners.
See the publications & meet the teamMachine learning models identify pattern in data. Their major strength is the capability to find and discriminate classes in training data, and to use those insights to make predictions for new, unseen data sets. However, there is growing concern about their potential to reproduce discrimination against a particular group of people based on sensitive characteristics such as gender, race, religion, or other. In particular, algorithms trained on biased data are prone to learn, perpetuate or even reinforce these biases. The purpose of our research is to measure unwanted bias and to find solutions to mitigate it.
See the publications & meet the teamThe widespread usage of Machine Learning and Artificial Intelligence in our society requires a high level of transparency to ensure that practitioners and users alike, are aware of how and why systems behave the way they do. The team leads a research effort to improve Machine Learning Interpretability with the aims of: (I) avoiding black-box predictions and (II) improving the quality of Machine Learning models.
See the publications & meet the teamUrban mobility has already a considerable impact on our quality of life and safety. On the other hand, novel approaches as urban sensing, multi-modal and intelligent transport systems, and smart cities, are offering a more sustainable mobility and new services. Our team emphasizes that the right mix among machine learning, IoT, graph theory, and networking will lead to a better safety and mobility orchestration for public transportations, private drivers, autonomous and connected vehicles, and pedestrians.
See the publications & meet the teamQuantum Computing (QC) is nascent technology that whilst being very hyped because of its complexity some aspects can be confusing. This is because there are many different kinds of technologies behind QC and even more possible applications, behind each one of these are countless organisations trying to label their QC technology as the best. We collect all available information and sort through it to find which parts are viable and scalable so an applicable QC framework can be built to use in the future.
See the publications & meet the teamToday the question of how the development of technology — and AI in particular — should be governed remains at the forefront of public debate. International organizations, national and local governments but also a growing number of firms already designing and using artificial intelligence (AI) recognize the need for guiding principles and a model for governance. The team works on analyzing the different principles shaping and guiding the ethical development of AI uses.
See the publications & meet the teamMachine learning (ML) algorithms are now used to tackle important problems such as medical diagnosis. However, they are still not robust to modified inputs such as adversarial examples and are often overconfident about their own performance. This is an important issue as the confidence associated with a prediction is often used to decide whether the prediction can be trusted or not. Thus, our research aims at improving ML robustness and at finding ways to better assess the confidence provided in order to reliably detect misclassification.
See the publications & meet the team


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{tag_CreateDate} | Date of workflow instance |
{tag_EscalatedRoleName} | Role responsible when workflow step is escalated |
{tag_EscalationDate} | Escalation date for the workflow step |
{tag_expirydate} | Expiration date for workflow step |
{tag_objectname} | Name of the item type this workflow step refers to (case, order, web page, template) |
{tag_objecturl} | URL to view the item associated with the workflow |
{tag_ReminderDate} | Remind date for the workflow step |
{tag_RoleName} | Role responsible for the workflow step |
{tag_stepname} | Current step of the workflow |
{tag_workflowname} | Name of the triggered workflow |


When Hermann Ott, nicknamed Doubt by his contemporaries, began teaching Jews and collecting snails during the prelude to the second World War, he probably didn't intend to become a champion for the underdogs. Doubt would never have made such a definite political statement, children; Doubt moves slowly, like his snails. He works hard, not with the ethic of the Protestant nor the gloom of the martyr to the economy, but with the manner of one shoring up sandbags against time. He sees the plaintive, whirling dervishes of here-and-now revolution, frowns and slows down: not just to watch, but to check his own speed.
Grass aligned himself---probably still does---with Doubt in his partly fictional account of his own campaign trail during the 1969 election. The word "trail" develops many meanings as, in Grass' memoir, the snails that Doubt collects become the symbol of Social Democratic policy, and slowness the responsibility and duty of the intellectual in politics. Grass and Doubt follow their separate, dogged routes some thirty years apart, meeting on, say, a windswept beach so that Grass can air his grievances: not with the world, but with his own over-eagerness. Doubt is always there at Grass' right hand, holding him back with history's lesson, that to rush headlong is to eventually perish.
In this translated work, much of Grass' original project is evident. Narratives are rich and intertwine in a complicated montage that echoes Döblin's Berlin Alexanderplatz. Presumably it has been just as difficult to translate, as a lot of the effect is lost. Some of Grass' semi-spontaneous poetry is absolutely appalling in the English, ranging from mawkish to sesquipedalian with no redeeming qualities in between. The fact that Grass is on one level writing to answer the questions of his own sons and daughters is hammered home each and every time he calls the reader "children" (which is probably Grass' own error). But his grasp of atmosphere and storytelling survives Grass' occasional patronising and Ralph Manheim's pedestrian translation. By detecting in advance whether the next section has odd line lengths it's easy to anticipate most of the dross and skip over to the next cleverly-crafted chunk of prose.
At a time when German politics is moving once again back towards the right-wing CDU and tubthumping---tired of the slow, careful movements of the pragmatic socialist Schnecken that have formed previous coalitions---Grass' novel-cum-memoir is an illuminating read: not so much of the current political climate, which has of course changed dramatically since then, but of the collective German psyche in the 20th Century. After leaping at one political movement and being stung to their psychic core, it somehow takes all of the German people's collective restraint not to leap at another. Ultimately, Grass asks us again and again the question: why must we always learn from the hare, the big cats, the hunters and the gods of myth and legend... but never from the snail?


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# The following comment should be removed at some point in the future. # mypy: strict-optional=False # mypy: disallow-untyped-defs=False from __future__ import absolute_import import collections import logging import os import re from pip._vendor import six from pip._vendor.packaging.utils import canonicalize_name from pip._vendor.pkg_resources import RequirementParseError from pip._internal.exceptions import BadCommand, InstallationError from pip._internal.req.constructors import ( install_req_from_editable, install_req_from_line, ) from pip._internal.req.req_file import COMMENT_RE from pip._internal.utils.misc import ( dist_is_editable, get_installed_distributions, ) from pip._internal.utils.typing import MYPY_CHECK_RUNNING if MYPY_CHECK_RUNNING: from typing import ( Iterator, Optional, List, Container, Set, Dict, Tuple, Iterable, Union ) from pip._internal.cache import WheelCache from pip._vendor.pkg_resources import ( Distribution, Requirement ) RequirementInfo = Tuple[Optional[Union[str, Requirement]], bool, List[str]] logger = logging.getLogger(__name__) def freeze( requirement=None, # type: Optional[List[str]] find_links=None, # type: Optional[List[str]] local_only=None, # type: Optional[bool] user_only=None, # type: Optional[bool] paths=None, # type: Optional[List[str]] skip_regex=None, # type: Optional[str] isolated=False, # type: bool wheel_cache=None, # type: Optional[WheelCache] exclude_editable=False, # type: bool skip=() # type: Container[str] ): # type: (...) -> Iterator[str] find_links = find_links or [] skip_match = None if skip_regex: skip_match = re.compile(skip_regex).search for link in find_links: yield '-f %s' % link installations = {} # type: Dict[str, FrozenRequirement] for dist in get_installed_distributions(local_only=local_only, skip=(), user_only=user_only, paths=paths): try: req = FrozenRequirement.from_dist(dist) except RequirementParseError as exc: # We include dist rather than dist.project_name because the # dist string includes more information, like the version and # location. We also include the exception message to aid # troubleshooting. logger.warning( 'Could not generate requirement for distribution %r: %s', dist, exc ) continue if exclude_editable and req.editable: continue installations[req.canonical_name] = req if requirement: # the options that don't get turned into an InstallRequirement # should only be emitted once, even if the same option is in multiple # requirements files, so we need to keep track of what has been emitted # so that we don't emit it again if it's seen again emitted_options = set() # type: Set[str] # keep track of which files a requirement is in so that we can # give an accurate warning if a requirement appears multiple times. req_files = collections.defaultdict(list) # type: Dict[str, List[str]] for req_file_path in requirement: with open(req_file_path) as req_file: for line in req_file: if (not line.strip() or line.strip().startswith('#') or (skip_match and skip_match(line)) or line.startswith(( '-r', '--requirement', '-Z', '--always-unzip', '-f', '--find-links', '-i', '--index-url', '--pre', '--trusted-host', '--process-dependency-links', '--extra-index-url'))): line = line.rstrip() if line not in emitted_options: emitted_options.add(line) yield line continue if line.startswith('-e') or line.startswith('--editable'): if line.startswith('-e'): line = line[2:].strip() else: line = line[len('--editable'):].strip().lstrip('=') line_req = install_req_from_editable( line, isolated=isolated, wheel_cache=wheel_cache, ) else: line_req = install_req_from_line( COMMENT_RE.sub('', line).strip(), isolated=isolated, wheel_cache=wheel_cache, ) if not line_req.name: logger.info( "Skipping line in requirement file [%s] because " "it's not clear what it would install: %s", req_file_path, line.strip(), ) logger.info( " (add #egg=PackageName to the URL to avoid" " this warning)" ) else: line_req_canonical_name = canonicalize_name( line_req.name) if line_req_canonical_name not in installations: # either it's not installed, or it is installed # but has been processed already if not req_files[line_req.name]: logger.warning( "Requirement file [%s] contains %s, but " "package %r is not installed", req_file_path, COMMENT_RE.sub('', line).strip(), line_req.name ) else: req_files[line_req.name].append(req_file_path) else: yield str(installations[ line_req_canonical_name]).rstrip() del installations[line_req_canonical_name] req_files[line_req.name].append(req_file_path) # Warn about requirements that were included multiple times (in a # single requirements file or in different requirements files). for name, files in six.iteritems(req_files): if len(files) > 1: logger.warning("Requirement %s included multiple times [%s]", name, ', '.join(sorted(set(files)))) yield( '## The following requirements were added by ' 'pip freeze:' ) for installation in sorted( installations.values(), key=lambda x: x.name.lower()): if installation.canonical_name not in skip: yield str(installation).rstrip() def get_requirement_info(dist): # type: (Distribution) -> RequirementInfo """ Compute and return values (req, editable, comments) for use in FrozenRequirement.from_dist(). """ if not dist_is_editable(dist): return (None, False, []) location = os.path.normcase(os.path.abspath(dist.location)) from pip._internal.vcs import vcs, RemoteNotFoundError vcs_backend = vcs.get_backend_for_dir(location) if vcs_backend is None: req = dist.as_requirement() logger.debug( 'No VCS found for editable requirement "%s" in: %r', req, location, ) comments = [ '# Editable install with no version control ({})'.format(req) ] return (location, True, comments) try: req = vcs_backend.get_src_requirement(location, dist.project_name) except RemoteNotFoundError: req = dist.as_requirement() comments = [ '# Editable {} install with no remote ({})'.format( type(vcs_backend).__name__, req, ) ] return (location, True, comments) except BadCommand: logger.warning( 'cannot determine version of editable source in %s ' '(%s command not found in path)', location, vcs_backend.name, ) return (None, True, []) except InstallationError as exc: logger.warning( "Error when trying to get requirement for VCS system %s, " "falling back to uneditable format", exc ) else: if req is not None: return (req, True, []) logger.warning( 'Could not determine repository location of %s', location ) comments = ['## !! Could not determine repository location'] return (None, False, comments) class FrozenRequirement(object): def __init__(self, name, req, editable, comments=()): # type: (str, Union[str, Requirement], bool, Iterable[str]) -> None self.name = name self.canonical_name = canonicalize_name(name) self.req = req self.editable = editable self.comments = comments @classmethod def from_dist(cls, dist): # type: (Distribution) -> FrozenRequirement req, editable, comments = get_requirement_info(dist) if req is None: req = dist.as_requirement() return cls(dist.project_name, req, editable, comments=comments) def __str__(self): req = self.req if self.editable: req = '-e %s' % req return '\n'.join(list(self.comments) + [str(req)]) + '\n'


|
home | news | discuss | issues | license LURE: config |
|
|---|---|
Global<EMAIL_ADDRESS>Used by many files |
function defaults() return {
ignore= "?",
sep= ",",
here= os.getenv("Lure"),
sample= { b=200,
most=512,
epsilon=1.01,
fmtstr="%20s",
fmtnum="%5.3f",
cliffsDelta=0.147 -- small,medium,large=0.147,0.33,0.474
},
tree= { ish=1.00,
min=2,
maxDepth=10},
tbl= { k=5 },
nb = { k=1,m=2},
chop= { m=0.5,
cohen=0.2},
num= { conf=95,
small=0.38, -- small,medium = 0.38,1
first=3,
last=96,
criticals = { -- Critical values for ttest
[95] = { -- We will extrapolate any values not seen here.
[ 3]=3.182,[ 6]=2.447,[12]=2.179,
[24]=2.064,[48]=2.011,[96]=1.985},
[99] = {[ 3]=5.841,[ 6]=3.707,[12]=3.055,
[24]=2.797,[48]=2.682,[96]=2.625}}}
} end
the= defaults()
return the
|
LegalLURE, Copyright (c) 2017, Tim Menzies All rights reserved, BSD 3-Clause License Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
|


---
layout: post
title: Android AOSP Source Plugin
categories: []
tags:
- development
- eclipse
status: publish
type: post
published: true
meta:
_edit_last: '1'
---
This article shows how to install the AOSP Source plugin for eclipse so when you are working with the Android API you can actually view the contents of various functions to get a better understanding of what's going on under the hood.


prtDecision Base class for sll prt decision objects
This is a base class from which all prt decision objects inherit. It
cannot be instantiated. prtDecision objects inherit the RUN function
from prtAction objects.
prtDecision objects accept the outputs of classifiers or clusterers
and return class or cluster labels. The output of a prtDecision
object's run function is always a nObservations x 1 data set where
the observations are integer valued and specify the hypothesized
class for each observation
Decisions can be used in two ways - either as part of an algorithm:
algo = prtClassKnn + prtDecisionBinaryMinPe;
Or as the internalDecider object inside a prtClass object:
myKnn = prtClassKnn;
myKnn.internalDecider = prtDecisionBinaryMinPe;
myKnn = myKnn.train(dsTrain);
In the first case, the resulting object is a prtAlgorithm, which
changes the behavior of PLOT. In the second case, the decision is
incorporated into the classifier, allowing the decision contours to
be plotted easily.
Note that the regardless of how one uses a decider, the outputs of
the RUN function should be identical.
% Example 1:
% This example demonstrates use of a prtDecision object to perform
% class labeling as part of a prtAlgorithm
dsTrain = prtDataGenUnimodal;
dsTest = prtDataGenUnimodal;
algo = prtClassKnn + prtDecisionBinaryMinPe;
algo = algo.train(dsTrain);
plot(algo); title('Algorithm implementation');
outAlgo = algo.run(dsTest);
% Example 2:
% This example demonstrtes the use of a prtDecision objet to perform
% class labeling as prtClass objects internalDecider
myKnn = prtClassKnn;
myKnn.internalDecider = prtDecisionBinaryMinPe;
myKnn = myKnn.train(dsTrain);
outIntDec = myKnn.run(dsTest);
figure; plot(myKnn); title('internalDecider implementation');


My first experience with Brugmansia was hazy, clouded, but overall quite interesting. I'd read most of the Datura/Brugmansia stories on this site, and was a bit worried about poisoning/mass hallucinations. Being only mildly aquainted with Hallucinogens through a few LSD and Shroom experiences, I approached it with an open mind. I started by boiling the leaves into a tea, in a saucepan on my stove.
When I was done, and the leaves were strained out, the Tea was left with a Yellow color to it. I gulped it down over a 20 minute period, seeing as how it tasted foul. After 10-15 minutes with no noticable affects, I started to feel slightly drowsy. I went to lie down on the couch, and had a brief nap, that ended about an hour later. I woke up, feeling slightly refreshed, at around midday.
Now for the next two hours or so, I couldn't feel anything from the tea. My parents had gone out to the races for the day, and said they'd be back at around 6-7, later if they won. So I sat on the computer for a few hours, until it was around 2 or so in the afternoon.  It was my parents. I wasn't feeling very strange, but everything had taken on a dream-like state, and so when I went out to greet them, it didn't seem strange that they headed off to bed, in mid afternoon, home 4 hours earlier than they should have been.
I went back to my computer, not really worrying about it. Some time that afternoon, a friend of my Mum's called for her. I called for mum to get the phone, but noone picked up. 'She must be asleep' I told the friend, and hung up. About 5 minutes later, the friend called back, and said 'Oh, was there a problem with the phone? I heard some strange garbled talking, and then it hung up.' Apparently I had been speaking gibberish to her, and it was at this point I walked into the Garage to find that their car wasn't there. In fact, there were no signs to point out that anyone had been home at all. It was at that point, that I realised I was actually under the influence of the tea, a thought which dissapeared from my mind almost straight away.
After tactfully disposing of the person on the phone 'Oh, I was wrong. They're still out. I have to go, bye' I began to explore this hazy world I was in. (Keep in mind that these are the only things I remember vividly. Although I only had one other hallucination I can remember, I have vague memories of talking to people all afternoon). Anyway, I rang my friend Lauren, and was talking to her, and memories of our phone call were hazy, but I do remember talking to her, and making sense, but two days later when I talked to her I found out that I had been talking gibberish to her the entire phone call, and every now and again I would say 'Be right back' to her, put down the phone, and talk to another person in the room for a few minutes and come back to the phone.
The only side affects of the tea I'd found so far, was that my throat was so dry, I couldn't eat anything. I had made two burritos, and almost choked on them, because I couldn't swallow them, because my throat was so tight. For some reason I ran about halfway around the house to spit out the offending burrito piece, rather than just do it in the sink or bin, but that obviously didn't occour to me at the time.
The only other hallucination I had that day, was around 6ish or so I was lounging around in my room, listening to music, when all of a sudden about 5 or six of my friends walking in, and sat down in various parts of the room, and hung out and talked with me for about 20 minutes. It had the ambience and the atmosphere of a small party. During this time, I was convinced my Alarm Clock was a telescreen, and I ripped it out of the wall to turn it off. It was around this time that my 'Real' parents came home, and I greeted them with the cheery 'Oh cool. Are you actually home this time, or is this something weird happening again' after which I went to sleep. Not very interesting I know, but with all the bad experiences people have had, I thought I might let you know about one that was just strange. Not a lot of hallucinations, just me wandering around hazy, and talking gibberish to myself...
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.


We follow some steps to complete any type of task successfully.
In coding, we follow some steps (like what data goes where etc.) to write code to solve a problem.
The ordered collection(from first to last) of these steps is called an Algorithm.
There may be more than one algorithms to complete a task. Think!


15 MINUTES A film review by Steve Rhodes Copyright 2001 Steve Rhodes RATING (0 TO ****): ***
In 15 MINUTES, Oleg Razgul (Oleg Taktarov), a self-styled Frank Capra, has just landed in the USA and is ready to make a "great American movie with what America wants -- sex and violence." With the camcorder that he stole in broad daylight from a Times Square electronics store, he has the wherewithal to make his magnum opus if he can just find the right subject material. Given that he has arrived with fellow crook Emil Slovak (Karel Roden), a murderous miscreant, material will not prove a problem. (Roden is such a dead ringer for TRAINSPOTTING's Robert Carlyle that many moviegoers may misidentify him.)
The action starts when Emil commits a double murder as Oleg films it. Most of the rest of the movie has Oleg and Emil trying to keep the only witness, Daphne (Vera Farmiga), from revealing their identity. Chasing Oleg and Emil are two cops, Eddie (Robert De Niro) and Jordy (Edward Burns). Following the typical buddy cop formula, they start off at odds, but end up best buds.
The cigar-chomping, wise-cracking, hard-drinking and (literally) hard-driving Eddie is a homicide detective who is so famous that he has had his picture on the cover of People magazine. This high profile cop dates a rising network news star. When Eddie speaks, New York City listens. And when people find out he's on the double murder case, the large newspaper headlines reassuringly proclaim, "Eddie's On The Job."
In contrast to the telegenic Eddie, Jordy is an arson investigator used to working behind the scenes and never getting into any trouble. Well, there was this one time when he handcuffed a mugger to a tree in Central Park and forgot about him, but other than that minor infraction, Jordy is a cop who has always kept his nose clean. The catalyst that brings this unlikely cop pair together is the fire that Emil sets to hide the evidence after the murder.
"I love America," Emil decides after overdosing on television shows like "Roseanne." "No one is responsible for what they do." With this knowledge, Oleg's tape and help from a sleazy newsmagazine host, Robert Hawkins (Kelsey Grammer), Emil devises what he believes to be a foolproof scheme to gain fame, fortune and freedom. Hawkins, whose motto is "If it bleeds, it leads," is always ready to sell his soul if the price is right.
Written and directed by John Herzfeld (2 DAYS IN THE VALLEY), the uneven movie has trouble deciding what kind of picture it wants to be. At first, it goes for light comedic drama, and the parts of the bad guys could easily have been played by Robin Williams in his full comedic schtick mode. This light heartedness gives way to an intense and sometimes quite violent crime drama. The intriguing movie works in fits and spurts but keeps you with it even with some troubling logical problems.  Still, De Niro and Burns are both terrific, so it is a movie whose flaws can be easily overlooked.
15 MINUTES runs two hours. It is rated R for strong violence, language and some sexuality and would be acceptable for older teenagers.
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Distribution of CDR3 nucleotide sequence lengths.
The histogram is scaled by clonotype size. Top 10 clonotypes are highlighted by colored bars.
Single click on the clonotype name in the legend will hide/show it on the histogram.
Double click will show only selected clonotype.


This site contains several examples of how willow can be used to help JavaScript developers trace and log their code.
It's important to remember that willow can only provide function names in its logging capabilities if you explicitly "name" your functions. A named function looks like this:
function myFunction(){
willow.enter();
console.log("Something important.");
willow.exit();
}
Unnamed functions, however, are missing the key part - the name (e.g. myFunction) - and are usually assigned to some variable. For example:
var mySecondFunction = function(){
willow.enter();
console.log("Something else important.");
willow.exit();
}
Notice how the output in Firefox's console differs between the two versions.


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--- layout: default ---
Hailstorm takes the pain out of distributed JMeter tests by automating the whole process from coordinating the tests to report generation.
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The purpose of the SRFI web site is to facilitate creating and disseminating information about proposed additions to the Scheme programming language. This work is done in public through documents and email messages published on this and other web sites. All of the work is done by volunteers. In support of this work, we use these third-party tools:
Linode, for the Linux server that runs the main web site, srfi.schemers.org.
Here is Linode's privacy policy.
The SRFI web site does not set cookies.
As is standard for web sites, we maintain server logs that contain IP addresses and other identifying information. We use this for debugging, for security, and for computing aggregate statistics. Our intent is that only the editors are allowed access to this information. We rotate the logs approximately every two weeks, so only our backups contain older log information. However, we may indefinitely preserve log entries and other information that record apparent attacks on the site.
GitHub for hosting code and documents that are part of the proposals.
Here is GitHub's
privacy statement. Note that users who would prefer
not to use GitHub can download all the code and documents
here
(.tgz
), directly from the SRFI web site.
Google Fonts for hosting the open-source Noto Sans font, which includes many Unicode characters that other fonts don't.
Simplelists for delivering email messages and for displaying those messages in public archives.
Note that most email messages sent to SRFI email addresses are displayed publicly in our archives, e.g. srfi-discuss. These archives are necessary because the point of SRFI is public, transparent discussion of proposals.
Simplelists obfuscates email addresses in the public archives so that they can't be harvested by spammers. However, since the point of the site is pubic discussion, we make no attempt to conceal the identities of participants.
Here are the Simplelists privacy policy and GDPR statement.
Both of these libraries are hosted by the CloudFlare CDN (Content Delivery Network). Here is CloudFlare's privacy policy.
If you have any concerns about SRFI, please contact the SRFI editors. (Mail to the editors is archived, but typically not displayed publicly.)
The history of this document is here.


Observing the worldwide tendency to ignore some diseases that can become a pandemic, I have decided to give my contribution for understanding the COVID-19 pandemic in Southeast Brazil. This pandemic is demanding more knowledge of its behavior for the prediction and estimation of cases from tables of data collected from the global health agencies. These routines are still very primary, but we can already observe some behavior that we can predict or estimate with models of evolution of the infection (I) of healthy individuals (S) that can kill (D) these or let these (R, E) live.
SIR model is a simple mathematical model for epidemics. Epidemics happen when a disease spread very fast reaching a large number of people in a short period of time. It defines "S" for for the number of susceptible; "I" or the number of infectious, and "R" for the number of recovered or deceased/immune individuals. This model is also missing some elements, such as the creation of new susceptible people by being born, and the removal of susceptible, infected, and recovered people who die.
This video is in Brazilian Portuguese and presents some clarifications about the coronavirus.
This is a volunteer-driven project made by people from different areas and backgrounds. If you would like to know better about us, here are some links:


{% extends "base/base.html" %} {% block title %}Frequently Asked Questions — {{ block.super }}{% endblock %} {% block breadcrumbs_header %}
Have a look through our Frequently Asked Questions below, or contact us if you need more information.
Take Your Meds is a telephone reminder service to help you remember to take your medication. You can arrange receive reminder calls or text messages to any UK phone number, whether a landline or a mobile.
Take Your Meds is for anyone who would like help remembering to take their medication, or for the family or friends of someone who takes medication.
We particularly want to help people who don't use a smartphone.
You can arrange reminders for yourself, or on behalf of someone you care about, or even both.
First, register for an account with Take Your Meds, then tell us what phone number to contact, when you would like to receive your reminders, and whether you'd prefer a call or a text message. You can record a new voice message to send, or use one of our built-in messages. That's it!
For now, Take Your Meds is totally free to use, so why not get started with your reminders today!
We hope never to have to charge end-users for the service, and aim to cover our costs another way.
Short answer: no. See our Terms and Conditions and Privacy Policy for the longer story.
We will never contact you unless you ask us to. If you sign up with your email address we will assume you are happy to receive occasional updates from us, but you can unsubscribe from these if you want to.
Email us at {{ settings.DEFAULT_FROM_EMAIL_MAILTO }} and we'll help you out straight away.


I am a motivated university student, qualified pilot and jobseeker looking to expand my first hand experience in your business.
My previous work in customer oriented positions and aviation training will benefit those I work with and work for through my friendly, and hardworking attitude. I thoroughly enjoy completing any work I do to a high level and have a big belief in quality over quantity as it also relates to all aspects of my personal and work life.
For any enquiries please dont hesitate to contact me through the links provided at the bottom of the page.
High level of proficiency in the Microsoft 365 suite (Word, PowerPoint, Outlook etc...)
Trained in administration tasks and general clerical duties while working in a relevant position. Presented the organisation with excellent phone manner and communication skills.
Experience in a fast paced sales environment dealing with large businesses/corporations
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ASIC Holder speeding up employment process for Airside roles.
Providing Excel solutions to increase productivity with a Specialist Certification achieved in the field
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Working with programs like Adobe Photoshop CS6 or Sony Vegas 11 to produce content that attracted audiences promoting products or individuals
Give me a call or send me an email and I will get back to you as soon as possible. Alternatively, you can contact me through LinkedIn.


The way you should ask users for dates depends on the types of date you’re asking for, for example:
- memorable dates (for example, date of birth or marriage)
- dates from documents or cards (for example, a passport or credit card)
- approximate dates (like ‘June 1983’)
- relative dates (like ‘4 days from today’)


nips nips2002 nips2002-29 nips2002-29-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Sachin S. Kajarekar, Hynek Hermansky
Abstract: We propose analysis of information in speech using three sources - language (phone), speaker and channeL Information in speech is measured as mutual information between the source and the set of features extracted from speech signaL We assume that distribution of features can be modeled using Gaussian distribution. The mutual information is computed using the results of analysis of variability in speech. We observe similarity in the results of phone variability and phone information, and show that the results of the proposed analysis have more meaningful interpretations than the analysis of variability. 1
[1] S. S. Kajarekar , N. Malayath and H. Hermansky,
[2] S. S. Kajarekar, N. Malayath and H. Hermansky,
[3] T. M. Cover and J. A. Thomas, Elements of Information theory, John Wiley & Sons, Inc., 1991.
[4] J. A. Bilmes,
[5] H. Hermansky H. Yang, S. van Vuuren,
[6] H. H. Yang, S. Sharma, S. van Vuuren and H. Hermansky,
[7] R. V. Hogg and E. A. Tannis, Statistical Analysis and Inference, PRANTICE HALL, fifth edition, 1997.


This dynamic gallery was made possible by HTML, CSS, and JavaScript languages, as well as the Bootstrap v3 and Font-Awesome v4 frameworks. Thanks for viewing!


The British Columbia (B.C.) government is committed to protecting your privacy. The B.C. Government collects, uses and discloses your personal information in accordance with the Freedom of Information and Protection of Privacy Act (FOIPPA) and other applicable legislation. ‘Personal information’ is defined broadly in the Freedom of Information and Protection of Privacy Act as recorded information about an identifiable individual,other than contact information, which is the information used to contact a person at a place of business.
The purpose of this privacy statement is to inform you that no personal information will be collected with the use of this BC eForWASTEBC application.
Questions regarding this privacy statement, including the collection of personal information, can be directed to a Senior Privacy Advisor at the Privacy, Compliance and Training Branch in the Ministry of Finance, PO Box 9493 Stn Prov Govt, Victoria, BC., V8W 9N7, telephone<PHONE_NUMBER>. Privacy.Helpline@gov.bc.ca.


Composite Primary Key Demo
Found an instance of Order Item for the supplied primary key:
OrderItem order id: #{compositePrimaryKeyDemoBean.orderItem.orderId}
OrderItem item id: #{compositePrimaryKeyDemoBean.orderItem.itemId}
No instance of OrderItem found for the supplied primary key.


| Programs | Activity | 2018 | 2019 | ||||||||||||||||||||||
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nev | Dec | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nev | Dec | ||
| New Assessment and program Design |
Data Collection, Analysis and designing need based interventions |
||||||||||||||||||||||||
| Mobilizing the target Audience |
Awareness drives | ||||||||||||||||||||||||
| Building Infrastructure for programs |
Any construction intervention | ||||||||||||||||||||||||
| Implementation of Programs |
Included training of the stakeholders and implementation of all the activities |
||||||||||||||||||||||||
| Monitoring and Reporting |
Quarterly reporting | Q1 Report |
Q2 Report |
Q3 Report |
Q4 Report |
Q1 Report |
Q2 Report |
Q3 Report |
Q4 Report |