| Spring 1996 | Internet Edition | No. 50
|
The bullet-ridden wall pictured on the cover is a detail from a photograph taken in Somalia by American photojournalist Dan Eldon of Reuters. Eldon, Associated Press photojournalist Hansi Krauss, and Reuter colleagues Hosea Maina and Anthony Macharia were murdered in July 1993 by a Somali crowd angered by the death of 50 countrymen in an air raid on Gen. Mohamed Farah Aidid's command post. Reuters/Dan Eldon
More journalists jailed than ever
CPJs 1995 report surveys 101 countries
By Jeanne Sahadi
Independent Nigerian journalist Nosa Igiebor has been languishing in prison since his arrest in December 1995. He was jailed for his critical coverage of the countrys military dictator, Gen. Sani Abacha.
Though he was placed in solitary confinement, Igiebor was hardly alone. In fact, a record 182 journalists around the world were in jail at the end of 1995, all of them in retaliation for their reporting. That is one of the major findings of CPJs annual report Attacks on the Press in 1995: A Worldwide Survey.
The 300-page report, which was released March 14 at the National Press Club in Washington, D.C., documents in compelling detail hundreds of attempts to silence reporters and news organizations around the world last year.
Drawn from the research of CPJs in-house staff of regional media experts, the annual Attacks on the Press reports are widely recognized as the most comprehensive and authoritative source of information on press freedom violations internationally.
This latest report analyzes the state of press freedom in 101 countries and examines more than 700 individual cases of journalists who were physically attacked, imprisoned, threatened or censored in retaliation for their work.
Most of the journalists whose stories are chronicled in the survey are not foreign correspondents dispatched to distant wars, but local reporters working under corrupt and repressive governments.
Many American journalists drop in on dangerous places like Bosnia or Rwanda, stay a few weeks and go home. For most of the people in whom CPJ is interested, the dangerous places are home, writes prize-winning essayist Roger Rosenblatt in the preface.
Among the books major findings:
For the second consecutive year, Turkey, with 51 reporters and editors in jail, had the worst record of imprisoning journalists than any other country. The new Turkish government should demonstrate its commitment to democracy by releasing our imprisoned colleagues and abolishing Article 8 of the Anti-Terror Law and Article 312 of the Penal Code, which are inherently incompatible with press freedom, said CPJ Chair Kati Marton.
- Other countries with large numbers of journalists in jail at the close of 1995 were Ethiopia (31), China (20) and Kuwait (18); Vietnam, Peru, Myanmar (Burma) and Nigeria each held eight journalists in jail.
- 51 journalists were killed in the line of duty in 1995. Forty-five of the deaths were homicides; six were casualties in combat zones.
- For the second consecutive year, Algeria was the most deadly country for journalists--24 were murdered in 1995 by rebel terrorists who have been waging a campaign of death against members of the media since May 1993.
- CPJ has now confirmed 456 journalists were killed in the past decade (1986-1995) as a direct result of their profession. Most were murdered. The countries with the highest death tolls were Algeria, the former Yugoslavia, Colombia, Tajikistan and the Philippines.
Attacks on the Press in 1995 shows how CPJ took action on behalf of hundreds of journalists last year. Through diplomatic channels, grassroots efforts and media campaigns, CPJ brought international attention to these cases and helped secure the release of prisoners.
- In Cuba, dissident journalist Yndamiro Restano was released from prison last June, after a yearlong international protest campaign led by CPJ.
- Walter Cronkite, CPJs honorary chairman, met with the prime minister of Turkey in September to express CPJs objections to charges filed against American reporter Aliza Marcus, a Reuters correspondent based in Istanbul, who faced up to three years in prison for her reports on Turkish counterinsurgency forays into Kurdish villages. Two months later, the charges against Marcus were dismissed.
- David Rohde, a correspondent in Bosnia for the Christian Science Monitor, was captured and held for nearly two weeks by the Bosnian Serbs for pursuing his investigations of mass grave sites near Zvornik. He was freed following diplomatic efforts by the U.S. government and direct personal appeals by CPJ Chair Kati Marton to Serbian President Slobodan Milosevic.


Brooms are Java classes to be included as needed in the
plugins directory. They are used by
SweepDNA
to remove elements (mainly transposons) which may interfere with the
later analysis.
All Brooms implemented so far are subclasses of StandardBroom. A
StandardBroom is built around a consensus base sequence and
(optionally) a variable length poly-A tail. Given a consensus, a custom
StandardBroom is very easy to program, and may be requested from the
author.
A Standard Broom selects a number of equidistant n-mers from the
consensus and searches for identical sequences in the DNA. If one is
found, it is extended by a moderately fault-tolerant dynamic
programming algorithm (similar to that used by
LTRID
to compare LTR candidates) and if it is thus extended over at least 100
positions it may be extended with a poly-A tail, and marked as an
insert in the DNA file.
All Brooms have the parameter:
- BroomPriority. Brooms are applied in descending order
of this.
A StandardBroom has the following parameters:
- MerSize: The length of the n-mers in the initial
search.
- MerStep: The distance between n-mers in the consensus.
- Tolerance: A measure of the fault tolerance in the
dynamic programming algorithm.
- TailMinLength (if poly-A tail is included): The
shortest acceptable distance between consecutive non-A in the tail.
So far, these StandardBrooms have been implemented:
For primate genomes:
- L1Broom, which is included in RetroTector.jar and is
applied by SweepDNA by default, to search
for LINE L1 fragments.
For other genomes, with names directly related to the names of the
respective transposons:
For the canine genome:
For the chicken genome:
- CR1_BBroom
- CR1_B2Broom
- CR1_FBroom
- CR1_YBroom
For the mouse genome:
- B1Broom
- B2Broom
- L1_MMBroom
- L1MA9_5Broom
- L1MC3Broom
- L1MDA_5Broom
- L1MEC_5Broom
- L1P_MA2Broom
- L2ABroom


Default submitHandler is set to display an alert into of submitting the form
BTC ID
Firstname
Lastname
address
city
State
zip
BTC Email
Phone Number


Thermodynamics looks for patterns in the statistical behavior of a very very large number of particles. A group of particles are called a system. Systems have measurable properties like temperature, pressure, volume, density, and entropy.
It is easy to say that since thermodynamics is statistical it isn't always true. This is correct, but thermodynamic predictions become more accurate with more particles. A typical room has roughly $$\small 1\,000\,000\,000\,000\,000\,000\,000\,000\,000= 10^{27}$$ atoms of air.
Temperature
Temperature is a measure of the average kinetic energy in a system of particles. Kinetic energy can be stored in spin, vibrations between particles, and normal movement.
temperature =
The graph above shows the distribution of kinetics energy for particles at various temperatures. You can click on the simulation to add more particles. Notice that with more particles the distribution becomes more consistent and predictable.
Heat
Heat is energy transferred from one system to another as a result of thermal interactions. A system doesn't "have" heat, it has internal energy, which is called heat only as it transfers between systems.
When two systems with different temperatures are put in contact they will exchange heat until they reach the same temperature. Heat flows from high temperature systems into low temperature systems.
Another example of heat exiting a system is through friction. For example, if you throw a foam ball, heat will leave the ball and enter the air. The ball's kinetic energy converts into the thermal energy of the air.
The concept of heat is important in understanding machines, like engines and refrigerators.
Energy Loss and Gain in a System
Energy is conserved. This means that if we add up the total energy of a system it will always be the same value, unless some energy enters or leaves the system we are tracking.
Turn friction on and observe what happens.
The kinetic energy gradually leaves the ball. We describe energy that leaves a system as heat. Heat can leave in many forms, often heat leaves a system as thermal energy. Thermal energy is the kinetic energy of many particles at a microscopic scale.
The internal energy of a system is always conserved, unless energy leaves or enters. Energy can leave or enter as work or heat.
The first law of thermodynamics says that the change in internal energy of a system is equal to heat flow into a system plus work done by the system.
$$\Delta E = Q - W$$
\( E \) = total internal energy of a system [J]\( Q \) = Heat, thermal energy added(+) or removed(-) from system [J]
\( W \) = work done by a system [J]
We can apply the concept of heat to our conservation of energy equations. If heat is leaving our system, we put Q on the right to track the loss.
$$K_i + U_i = K_f + U_f + Q_f$$ Example: A 0.43 kg soccer ball, kicked at 10 m/s, rolls down a 30 m tall hill. If there was no energy loss, the ball would have a final velocity of 26.2 m/s.When actually performing the experiment we found the ball only has a speed of 20.0 m/s at the bottom. Calculate the heat that left the ball as it rolled down the hill.
solution
$$K_i + U_i = K_f + Q_f$$ $$\tfrac{1}{2}mu^2 + mgh_i = \tfrac{1}{2}mv^2 + Q$$ $$\tfrac{1}{2}(0.43)(10.0)^2 + (0.43)(9.8)(30) = \tfrac{1}{2}(0.43)(20)^2 + Q$$ $$61.9 \,\mathrm{J} = Q$$solution
$$K_i + U_i = K_f + U_f + Q_f$$ $$K = Q$$ $$\tfrac{1}{2}mv^2 = Q$$ $$\tfrac{1}{2}(2000)(30)^2 = Q$$ $$900000 \, \mathrm{J} = Q$$Example: If the coefficient of kinetic friction is 0.7, how far did the car skid? Think of the heat as work done by the friction force.
solution
$$W=F\Delta x$$ $$Q=F_k\Delta x$$ $$Q=F_N\mu_k\Delta x$$ $$Q=mg\mu_k\Delta x$$ $$\Delta x = \frac{Q}{mg\mu_k}$$ $$\Delta x = \frac{900000}{(2000)(9.8)(0.7)}$$ $$\Delta x = 65.6\,\mathrm{m}$$(Each grid square is 10 m x 10 m.)
solution
$$E_{\mathrm{point \, A}} = E_{\mathrm{point \, C}}$$ $$ U_g = K + U_g + Q $$ $$ mgh = \tfrac{1}{2}mv^2 + mgh + Q$$ $$ (1000)(9.8)(100) = \tfrac{1}{2}(1000)v^2 + (1000)(9.8)(47) + 16000 $$ $$ 980000 = 500v^2 + 460600 + 57000 $$ $$ 503400 = 500v^2$$ $$ 30.4\, \mathrm{\tfrac{m}{s}} = v$$Entropy
Entropy is hard to define because different fields use the term to describe slightly different ideas. The definitions of entropy are all loosely centered around disorder. A high entropy system of particles is not organized. A low entropy system is very orderly, but how do you measure order?
Well, order is whatever you decide. A common definition is a concentration of something measurable, like energy, temperature, or pressure. This would mean a concentration of energy would have lower entropy then an evenly spread out distribution.
An engine can be built to convert concentrations of energy into work. In the simulation below, the work we want done is rotating the rotor. What state of the system would make the rotor turn?
Click the clear button to remove the particles. Click inside the simulation to add some particles. Try to place the particles in a state that will turn the rotor.
The system is in high entropy when the particles are evenly spread out. If your system gets in this state, adjust the slider to power the rotor from an external power source. The spinning rotor lowers entropy and puts the system back in a state that can do work.
The thermodynamic system of a car engine takes in concentrated, low entropy, energy in the form of gasoline. When the gasoline's energy is released through combustion it's energy spreads out. The spreading out energy is converted into kinetic energy, which moves the car.
Question: You can think about a human body as a thermodynamic system. As we do work the entropy in our body increases, making it harder to do more work. What keeps our entropy low?
answer
We add low entropy substances to our system, like food, oxygen, and water.
We also lower our entropy by removing high entropy substances, like carbon dioxide, urine, and feces.
Question: The planet Earth can be viewed as a thermodynamic system. As time goes on the energy density of Earth spreads out and loses the ability to do work. What keeps the entropy of the Earth low?
answer
Light from the sun is added to our system. Sunlight lowers our entropy on the global scale by creating differences in temperature. On the atomic scale photons of sunlight reduce entropy through photosynthesis.
The Arrow of Time
The laws of physics are time reversible. Nature behaves the same moving forwards or backwards in time. The only exception is entropy.
If you were to watch a video of the Earth orbiting the sun, it would be difficult to tell if the video was running forwards or backwards. Simple physical systems don't have a clear forwards or backwards.
Sometimes it is very easy to tell the direction of time. A glass of water falling off a table has a clear direction in time. It would be very strange to see broken glass and spilled water spontaneously come together and jump up onto a table.
As time moves forward, a system will either stay the same or get messier but never more orderly.
Why is the second law of thermodynamics true? Because there are many ways for the energy of a system to be evenly distributed, but few ways to have energy concentrated. As a system randomly progresses forwards in time, the odds of evolving into a concentrated low entropy state is very low.
The entropy of a system always evolves from low to high. Our universe has its lowest entropy point at the big bang. The far future is the highest entropy.
Diffusion is a good example of the second law of thermodynamics. The simulation below will become more evenly mixed as time progresses.
The odds of the 300 particles below separating by chance is so unlikely that it would take longer than the age of the universe.
Investigation
Let's say that each particle can be in only 2 states: left or right.
We can count the total number ways to put particles in one of 2 states.
| number of particles | total possible states |
|---|---|
| \(0\) | \(1\) |
| \(1\) | \(2 = 2\) |
| \(2\) | \(2 \times 2 = 4\) |
| \(3\) | \(2 \times 2 \times 2 = 8\) |
| \(4\) | \(2 \times 2 \times 2 \times 2 = 16\) |
| \(5\) | \(2 \times 2 \times 2 \times 2 \times 2 = 32\) |
| \(\text{\color{#f04}n}\) | \(2^{\color{#f04}n}\) |
| \(20\) | \(2^{20} = 1\,048\,576\) |
Trying random configurations would take on average half the number of total states to reach our unique unmixed state.
$$\frac{2^{n}}{2}$$I wrote a program that counts how often a particle in the simulation switches states at the fastest time rate. For ten particles on each sides there are about 18.75 switches per second or one every 1/18.75 seconds.
$$T_{avg} \approx \left(\frac{2^{20}}{2}\right) \left(\frac{1}{18.75}\right) \mathrm{s}$$ $$T_{avg} \approx 27\,960 \, \mathrm{s} = 7.767 \, \mathrm{hr}$$The graphs below assume that each particle switches states once a second. The time to separate increases very fast as the number of particles goes up.
For up to about n = 15 particles, the estimated time to separate takes seconds. Waiting for n = 35 particles to spontaneously separate takes years.
How long would it take n = 300 particles to randomly separate?
How long would it take all the air molecules in a typical room?
(n = 1 000 000 000 000 000 000 000 000 000 air molecules)


In broad terms, the concept I am interested in is ‘Digital Gentrification’; the idea machines will begin to move into our abandoned virtual spaces. This project hopes to capture the feeling of returning to these spaces to find that they have been taken over by another intelligence. The space is now alien, we are no longer relevant or necessary. I like to think of the analogy of an abandoned theme park that is now home to a swarm of insects.
I am interested using web scraping and open API’s to appropriate content that has been generated by people on the internet. I am creating a database of this information and have began using various machine learning technologies to create distortions in the data that reflects a sense of a machinic ‘perception’ of us.
One example of the algorithms that I have invented to generate content is NASDAQ GOOGLE WORD ASSOCIATION:
In this example: The algorithm downloads the first Google image that relates to the NASDAQ stock code, then performs a kind of ‘Word association’ game on this image with Google’s ‘im2text’ algorithms.
AETHLON MEDICAL, AEMD
Man Holding a baseball bat on a field
Man in a suit and tie standing in a field
NABRIVIA THERAPE ADS, NBRV
Woman holding a pair of scissors in her hands
VARIABLE RATE INVESTMENT GRADE PORTFOLIO, VR IG
Person holding a pair of scissors in their hands
PACIRA PHARM INC, PCRX
People standing next to each other
EGAIN CORPORATION, EGAN
Man holding a tennis racquet on a tennis court
PATRIOT NATL, PNBK
Different colored signs on a pole
I am comfortable with the high level of ‘randomness’ that this algorithm generates - the point here is scale of content rather than quality. These ‘associations’ are not made by myself, they are made by the inherent biases and limitations in Google’s machine learning tools.
Another algorithm I am working on is a DCGAN of generated meme images. The DCGAN is trained on 40,000 memes that I have scraped from instagram. It will ‘generate’ a memes based aesthetic based on a representation learned from training.
Here is an 8x8 grid of ‘memes’ generated by the algorithm after about 12 hours of training.
And another from later in the training:
The DCGAN aesthetic is always cool to me, although I’m a little disappointed that the ‘meme’ references seems to have been lost. I am considering getting a database of ‘meme phrases’ and then programmatically adding the text to these images with the iconic Impact typeface.
I am also working to scrape tweets from twitter for a char-rnn network that will generate text as a representation of the noise on the internet.
I wish to mask and pervert the basic sense of reality that the internet is a human space. While networks gains an understanding of who we are, we are incapable of comprehending the nature of the machines intelligence. Our definition of intelligence is anthropocentric - we evaluate how ‘intelligent’ something is based on how similar it behaves to a human. This project seeks to subvert this sense of anthropocentric and give sense of a ‘networked other’.
The original idea for this project was to take the content and automate a series of ’bots’ that would ‘take over’ an open source message board (flaskBB). However, I am in the process of exploring other options regarding how this virtual space could be represented.
I have some ideas about how this might be implemented in javascript as a 3D VR space, for instance:
Mat DesLauriers has generously shared a generative node.js script that could be used to generate a base landscape. This could be a basis for experimentation. In addition to this, Three.JS could be used to develop an asset that could be procedurally placed on this generated landscape that could function as screens that will display the hallucinations from the machine learning content database.
It would be wrong not to mention the work of Design and Technology theorist Benjamin Bratton whose ideas about Artificial intelligence and the Anthropocene have influenced me greatly.


Auto-Start XAMPP
By default, you have to start XAMPP or its components manually every time you reboot your system. However, you can also configure XAMPP components to start automatically on system boot. Follow the steps below.
-
Launch the XAMPP control panel.
-
Stop all the running XAMPP components by clicking the "Stop" button next to each component.
-
Click the "Service" button next to each component to install it as a service. Click "Yes" when prompted to confirm. This will install the corresponding service and set it to start automatically on boot.
-
Reboot your system and the selected components should start automatically.
To revert the changes, simply uncheck the selected services in the XAMPP control panel.


fun multiplyBy(factor: Double, roundingMode: RoundingMode): AssetAmount
Multiplies the current amount by a factor provided as the first parameter. The second parameter specifies the rounding method to be used.
factor
- : The multiplying factor
roundingMode
- : The rounding mode as an instance of the {@link RoundingMode} class
Return
The same AssetAmount instance, but with the changed amount value.


{% extends 'layout.html' %} {% block body %}
Automatic error handling with possible solutions for your code.
Block the time-wasting websites from your browser.
Keep a track of your websites to manage your screen time.
Connect with developers for sharing and learning new things.
Download the boilerplate codes for mostly used frameworks.
This feature provides a Reminder and Notification System for laptop users.


Apartment Name
Login by : users
Date : {{ '10/06/14' | date:'dd/mm/yy' }}
Home page
Notification
Notification 1
Notification 2
Notification 3
Notification 1
Notification 2
Notification 3
Option
Building
Edit Profile
Public information
Cost of utilities
Service
Fine
Ads
Payment type
Menu
Room
Customer
Booking
Charter
Water meter
Energy meter
Telephone
Invoice
Receipt
Common Receipt
Check out
Report
SMS
Calendar


To get started, click the Run button below, or interact with the grid below to fill in cells. You can also interact with the grid while the simulation is running by deleting live cells that you click. The initial pattern on this grid below is the Acorn pattern. Refresh the page to get an Acorn back.
If you're not sure what all of this is about, check out the Wikipedia article on Conway's Game of Life.


B.Tech. II (CO) Semester - 3 |
L |
T |
P |
C |
THEORETICAL COMPUTER SCIENCE (CS-I) |
3 |
1 |
0 |
4 |
(02 Hours) |
||||
Basic Mathematical Objects: Sets, Logic, Functions, Relations, Strings, Alphabets, Languages; Mathematical Induction: Inductive proofs, Principles; Recursive Definitions; Set Notation. |
||||
(12 Hours) |
||||
Finite State systems, Regular Languages & Regular Expressions, Deterministic Finite Automata; Nondeterministic Finite Automata, Kleene’ Theorem; Two-way Finite Automata, Finite Automata with output, Properties of Regular Sets: The Pumping Lemma for Regular sets, Closure properties, Decision properties of regular languages, Equivalence and minimization of Automata. |
||||
(14 Hours) |
||||
Definition, Derivation trees & Ambiguity, Inherent ambiguity, Parse tree, Application of CFG, Simplification of CFG, Normal form of CFG, Chomsky Normal form and Chomsky Hierarchy, Unrestricted grammars, Context-sensitive languages, Relations between classes of languages, Properties of Context Free Languages: The Pumping Lemma, Closure properties, Decision properties of CFL. |
||||
(04 Hours) |
||||
Definitions, Languages of PDA, Equivalence of PDA and CFG , Deterministic PDA |
||||
(06 Hours) |
||||
Turing Machine Model, Language of a Turing Machine, Programming techniques of the TM, Variations of TM (Multiple TM, One-tape and Multi-tape TM etc), Deterministic and Non deterministic TM, Universal TM, Churche thesis, Recursively Enumerable Languages. |
||||
(04 Hours) |
||||
Time and Space Complexity, Growth Rate, Complexity classes, Tractable and Non tractable Problems: P and NP, Cooks’s theorem. |
||||
(14 Hours) |
||||
(Total Contact Time: 42 Hours + 14 Hours = 56 Hours) |
||||
BOOKS RECOMMENDED |
||||
1). John E. Hopcroft, Rajeev Motwani, Jeffrey Ullman: “Introduction to Automata theory, languages computation “, 2/E, Pearson India, Last Indian, Reprint 2005. |


About
The Desay D6 smart watch, contains the nordic nrf52832 microcontroller.
This watch has an serial port.
In fact it is a small computer on your wrist, with a battery and screen, and capable of bluetooth 4+ wireless communication.
A word of warning: this is work in progress.
You're likely to have a better skillset then me.
You are invited to add the missing pieces and to improve what's already there.
What is already working :
wireless hack : one can install espruino wirelessly (github.com/fanoush/ds-d6)
zephyr RTOS with working screen


Community packages
This is a curated list of third party Fuse packages created and submitted to us by the community. Fuse provides no official support or quality control on these packages. Use at your own risk.
Packages are licensed by you directly from the author, see license file in each repo for details.
Note: Fuse is working on official tooling to automate publishing and installation of packages. In the mean time we can install packages manually.
Installing a package
Packages can be all sorts of things; examples, libraries, plugins or tools. Installation steps differ between packages. Follow the installation instructions in README for each package, however - packages are commonly installed simply by doing a git clone
and adding a project reference in your project's .unoproj
file with a relative path.
Package list
| Package | Github link |
|:---------------------|---------:|
| | |
| admob
Use AdMob with Fuse projects (Android)Library
by aToO57 | Go to page |
| ||
| appstax-fuse
Official AppStax SDK for FuseLibrary
by Appstax | Go to page |
| ||
| barcodescanner
Bar code scannerLibrary
by bolav | Go to page |
| ||
| cachingimagesource
Caches downloaded images on diskLibrary
by bolav | Go to page |
| ||
| camerapanel
Use the camera feed as a panel (iOS)Library
by bolav | Go to page |
| ||
| contacts
Get phone contact list in JSLibrary
by bolav | Go to page |
| ||
| cocoapods
Cocoapods integration (iOS)Library
by bolav | Go to page |
| ||
| emacs
Emacs plugin for FusePlugin
by hasselknippe | Go to page |
| ||
| facebook-login
Facebook login example (iOS)Library
by bolav | Go to page |
| ||
| firebase
Use Google Firebase with FuseLibrary
by baggers | Go to page |
| ||
| Fuse.Billing.Android
Receive payments through Google PlayLibrary
by Fuse | Go to page |
| ||
| Fuse.RMStore
Bindings around the excellent RM.Store libraryLibrary
by Fuse | Go to page |
| ||
| fuse-customdatepicker
Disk shaped date picker for FuseLibrary
by sacketty | Go to page |
| ||
| fuse-clipboard
Clipboard class for Fuse ToolsLibrary
by jmoleiro | Go to page |
| ||
| fuse-device
Get basic device functionsLibrary
by MaxGraey | Go to page |
| ||
| fuse-google-analytics
Use Google Analytics with FuseLibrary
by ErickTamayo | Go to page |
| ||
| fuse-motion
Motion - iOS accelerometer, gyroscope, magnetometer readings and moreLibrary
by AlexGustafsson | Go to page |
| ||
| FuseNativeControls
Cross-platform native controls for Fuse, including date and time pickerLibrary
by nekronos | Go to page |
| ||
| gallery
Load images from the phone's galleryLibrary
by bolav | Go to page |
| ||
| homescreen
UX action to go to the home screen on AndroidLibrary
by bolav | Go to page |
| ||
| materialdesign
Cross-platform, open source implementation of Google's material design in FuseLibrary
by Duckers | Go to page |
| ||
| onetimepassword
Onetimepassword and other integrationsLibrary
by torial | Go to page |
| ||
| qreader
QR code readerLibrary
by zean00 | Go to page |
| ||
| socketio
Socket.ioExample
by bolav | Go to page |
| ||
| sqlite
Use SQLite database from JS in FuseLibrary
by bolav | Go to page |
| ||
| syncano
Syncano backend exampleLibrary
by bolav | Go to page |
| ||
| testfairy
TestFairy integrationLibrary
by bolav | Go to page |
| ||
| touchid
Touch ID integration (iOS)Library
by bolav | Go to page |
| ||
| uno-bash
Simple bash auto-completion for Uno CLITool
by Fuse | Go to page |
| ||
| vscode
VSCode pluginPlugin
by hazealign | Go to page |
| ||
| vscode-fuse-syntax
Syntax highlighting in Visual Studio CodeExtension
by Sergii Naumov | Go to page |
| ||
| whilevisibleinscrollview
WhileVisibleInScrollView UX triggerLibrary
by bolav | Go to page |
| ||
| YouTube
YouTube integrationLibrary
by bolav | Go to page |
| ||
| FuseShareSheet
Native share sheetsLibrary
by Heavenchains | Go to page |
| ||
| fuse-log
Get Fuse log messages in VS CodePlugin
by bstrr | Go to page |
| ||
| fuse-backgroundservice
Long running services for AndroidPlugin
by Benny2871 | Go to page |
| ||
| fuse-android-toast
Use the native Android Toast view in FuseLibrary
by blackrider401 | Go to page |
| ||
| SocialShare
Library to use social share options in FuseLibrary
by jesusmartinoza | Go to page |
| ||
| fuse-cordova-bridge
Project that allows cordova plugins to be used in Fuse appsLibrary
by akalyan | Go to page |
| ||
| fuse-dfp
Implementation of DoubleClick for Publishers SDK in FuseLibrary
by jmoleiro | Go to page |
| ||
| listenup
Example of Snowboy hotword detection in FuseLibrary
by bkono | Go to page |
| ||
| fuse-tools-icon-sets
A collection of files with icon code mappings to quickly add icons to your fuse tools projectLibrary
by IsaacSomething | Go to page |
| ||
Submitting a new package
We welcome new package contributions from the community!
To submit a package to this list, please publish the package in a public GitHub repository, and let us know about it! Please include the package name, description, author (your Fusetools.com username) as well as the URL to the repo of course.
To release new versions of your package, simply publish new branches or tags on your repo.
The repo must include a LICENSE.txt
or similar declaring the license terms for the package (MIT license preferred), and a README.md
or similar describing and documenting how to use the package.


lorawan network server
Applications
Interfaces
Gateways
Devices
Config
Status
Application
Id
AppEUI
AppKey
Descript
Interface


Ming vase nets €610,000 at auction for Cork family
By Jess Casey and Des O’Sullivan
A Ming masterpiece, discovered when a Cork family brought it for a routine valuation, has sold under the hammer at €610,000, €490,000 more than it was expected to fetch.
The rare Chinese moon flask, estimated at €80,000 to €120,000, was found at an antiques valuation at Blarney Castle in September.
Its sale at Sheppards in Durrow yesterday was greeted by a round of applause, according to Auction house Antiques and Art Ireland.
Sheppard’s Irish Auction House in Durrow, Co Laois, imposed a special condition of no internet bidding on the piece.
Registered bidders were required to pay a deposit and attend the saleroom in person.
The value of the heirloom was revealed in September, when a Cork family visited the evaluation event with the piece, which they thought might be worth a few thousand euro.
“From the minute it came out of the box, we knew it was an important piece,” said auctioneer Philip Sheppard.
“Everything about it was consistent with being an authentic Ming blue and white flask, dating from the Yongle period.”
The Yongle Emperor, the third Emperor of the Ming dynasty, reigned from 1402 to 1424.
Mr Sheppard would not name the owners of the piece, other than to say they are “an old Cork family, with connections going back to a colonial past — India during the Raj”.
The family inherited it more than 50 years ago from a cousin and they brought it to the valuation in Blarney out of curiosity.
Mr Sheppard believed the piece to be a Ming flask, based on its colour, its weight, touch, and bubble distribution beneath the glaze, which was consistent with a piece from the 15th century.
Its discovery prompted international interest.
“We will literally have guys flying in from Shanghai and Hong Kong for this,” said Mr Sheppard.


Add to Discord {% if logged_in %} Manage Servers {% else %} Manage Servers {% endif %}


Class: Concurrent::Channel::Buffer::Base
- Inherits:
-
Synchronization::LockableObject
- Object
- Synchronization::LockableObject
- Concurrent::Channel::Buffer::Base
- Defined in:
- lib/concurrent/channel/buffer/base.rb
Overview
Abstract base class for all Channel buffers.
Concurrent::Channel objects maintain an internal, queue-like object called a buffer. It's the storage bin for values put onto or taken from the channel. Different buffer types have different characteristics. Subsequently, the behavior of any given channel is highly dependent uping the type of its buffer. This is the base class which defines the common buffer interface. Any class intended to be used as a channel buffer should extend this class.
Direct Known Subclasses
Instance Attribute Summary (collapse)
-
- (undocumented) capacity
readonly
The maximum number of values which can be #put onto the buffer it becomes full.
Instance Method Summary (collapse)
-
- (Boolean) blocking?
Predicate indicating if this buffer will block #put operations once it reaches its maximum capacity.
-
- (Boolean) close
Close the buffer, preventing new items from being added.
-
- (Boolea) closed?
Predicate indicating is this buffer closed.
-
- (Boolean) empty?
Predicate indicating if the buffer is empty.
-
- (Boolean) full?
Predicate indicating if the buffer is full.
-
- (Base) initialize(*args)
constructor
Creates a new buffer.
-
- (Object, Boolean) next
Take the next "item" from the buffer and also return a boolean indicating if "more" items can be taken.
-
- (Boolean) offer(item)
Put an item onto the buffer is possible.
-
- (Object) poll
Take the next item from the buffer if one is available else return immediately.
-
- (Boolean) put(item)
Put an item onto the buffer if possible.
-
- (undocumented) size
The number of items currently in the buffer.
-
- (Object) take
Take an item from the buffer if one is available.
Constructor Details
- (Base) initialize(*args)
Creates a new buffer.
27 28 29 30 31 32 33 34 35 36 |
# File 'lib/concurrent/channel/buffer/base.rb', line 27 def initialize(*args) super() synchronize do @closed = false @size = 0 @capacity = 0 @buffer = nil ns_initialize(*args) end end |
Instance Attribute Details
- (undocumented) capacity
The maximum number of values which can be #put onto the buffer it becomes full.
22 23 24 |
# File 'lib/concurrent/channel/buffer/base.rb', line 22 def capacity @capacity end |
Instance Method Details
- (Boolean) blocking?
Predicate indicating if this buffer will block #put operations once it reaches its maximum capacity.
44 45 46 |
# File 'lib/concurrent/channel/buffer/base.rb', line 44 def blocking? true end |
- (Boolean) close
Close the buffer, preventing new items from being added. Once a buffer is closed it cannot be opened again.
176 177 178 179 180 |
# File 'lib/concurrent/channel/buffer/base.rb', line 176 def close synchronize do @closed ? false : @closed = true end end |
- (Boolea) closed?
Predicate indicating is this buffer closed.
187 188 189 |
# File 'lib/concurrent/channel/buffer/base.rb', line 187 def closed? synchronize { ns_closed? } end |
- (Boolean) empty?
Predicate indicating if the buffer is empty.
62 63 64 |
# File 'lib/concurrent/channel/buffer/base.rb', line 62 def empty? synchronize { ns_empty? } end |
- (Boolean) full?
Predicate indicating if the buffer is full.
73 74 75 |
# File 'lib/concurrent/channel/buffer/base.rb', line 73 def full? synchronize { ns_full? } end |
- (Object, Boolean) next
Take the next "item" from the buffer and also return a boolean indicating if "more" items can be taken. Used for iterating over a buffer until it is closed and empty.
If the buffer is open but no items remain the calling thread will
block until an item is available. The second of the two return
values, "more" (a boolean), will always be true
when the buffer is
open. The "more" value will be false
when the channel has been
closed and all values have already been received. When "more" is
false the returned item will be Concurrent::NULL
.
Note that when multiple threads access the same channel a race
condition can occur when using this method. A call to next
from
one thread may return true
for the second return value, but
another thread may take
the last value before the original
thread makes another call. Code which iterates over a channel
must be programmed to properly handle these race conditions.
151 152 153 |
# File 'lib/concurrent/channel/buffer/base.rb', line 151 def next raise NotImplementedError end |
- (Boolean) offer(item)
Put an item onto the buffer is possible. If the buffer is open but
unable to add an item, probably due to being full, the method will
return immediately. Similarly, the method will return immediately
when the buffer is closed. A return value of false
does not
necessarily indicate that the buffer is closed, just that the item
could not be added.
106 107 108 |
# File 'lib/concurrent/channel/buffer/base.rb', line 106 def offer(item) raise NotImplementedError end |
- (Object) poll
Take the next item from the buffer if one is available else return immediately. Failing to return a value does not necessarily indicate that the buffer is closed, just that it is empty.
165 166 167 |
# File 'lib/concurrent/channel/buffer/base.rb', line 165 def poll raise NotImplementedError end |
- (Boolean) put(item)
Put an item onto the buffer if possible. If the buffer is open but not able to accept the item the calling thread will block until the item can be put onto the buffer.
88 89 90 |
# File 'lib/concurrent/channel/buffer/base.rb', line 88 def put(item) raise NotImplementedError end |
- (undocumented) size
The number of items currently in the buffer.
51 52 53 |
# File 'lib/concurrent/channel/buffer/base.rb', line 51 def size synchronize { ns_size } end |
- (Object) take
Take an item from the buffer if one is available. If the buffer is open and no item is available the calling thread will block until an item is available. If the buffer is closed but items are available the remaining items can still be taken. Once the buffer closes, no remaining items can be taken.
122 123 124 |
# File 'lib/concurrent/channel/buffer/base.rb', line 122 def take raise NotImplementedError end |


Peter Gashitsky
UX/UI Designer
Linkedin
Experienced web and graphic designer and illustrator. His statement is «clean projects, clean design». Talks a lot and draws a lot. Prefers coffee.


[ aws . rekognition ]
Compares a face in the source input image with each face detected in the target input image.
Note
If the source image contains multiple faces, the service detects the largest face and uses it to compare with each face detected in the target image.
In response, the operation returns an array of face matches ordered by similarity score with the highest similarity scores first. For each face match, the response provides a bounding box of the face and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.
Note
By default, only faces with the similarity score of greater than or equal to 80% are returned in the response. You can change this value.
In addition to the face matches, the response returns information about the face in the source image, including the bounding box of the face and confidence value.
Note
This is a stateless API operation. That is, the operation does not persist any data.
For an example, see get-started-exercise-compare-faces
This operation requires permissions to perform the rekognition:CompareFaces action.
See also: AWS API Documentation
compare-faces
--source-image <value>
--target-image <value>
[--similarity-threshold <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
Source image either as bytes or an S3 object
Shorthand Syntax:
Bytes=blob,S3Object={Bucket=string,Name=string,Version=string}
JSON Syntax:
{
"Bytes": blob,
"S3Object": {
"Bucket": "string",
"Name": "string",
"Version": "string"
}
}
Target image either as bytes or an S3 object
Shorthand Syntax:
Bytes=blob,S3Object={Bucket=string,Name=string,Version=string}
JSON Syntax:
{
"Bytes": blob,
"S3Object": {
"Bucket": "string",
"Name": "string",
"Version": "string"
}
}
--similarity-threshold (float)
The minimum level of confidence in the match you want included in the result.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
SourceImageFace -> (structure)
The face from the source image that was used for comparison.
BoundingBox -> (structure)
Identifies the bounding box around the object or face. The left (x-coordinate) and top (y-coordinate) are coordinates representing the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).
The top and left values returned are ratios of the overall image size. For example, if the input image is 700x200 pixels, and the top-left coordinate of the bounding box is 350x50 pixels, the API returns a left value of 0.5 (350/700) and a top value of 0.25 (50/200).
The width and height values represent the dimensions of the bounding box as a ratio of the overall image dimension. For example, if the input image is 700x200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.
Note
The bounding box coordinates can have negative values. For example, if Amazon Rekognition is able to detect a face that is at the image edge and is only partially visible, the service can return coordinates that are outside the image bounds and, depending on the image edge, you might get negative values or values greater than 1 for the left or top values.
Width -> (float)
Width of the bounding box as a ratio of the overall image width.Height -> (float)
Height of the bounding box as a ratio of the overall image height.Left -> (float)
Left coordinate of the bounding box as a ratio of overall image width.Top -> (float)
Top coordinate of the bounding box as a ratio of overall image height.Confidence -> (float)
Confidence level that the selected bounding box contains a face.
FaceMatches -> (list)
Provides an array of CompareFacesMatch objects. Each object provides the bounding box, confidence that the bounding box contains a face, and the similarity between the face in the bounding box and the face in the source image.
(structure)
For the provided the bounding box, confidence level that the bounding box actually contains a face, and the similarity between the face in the bounding box and the face in the source image.
Similarity -> (float)
Level of confidence that the faces match.Face -> (structure)
Provides face metadata (bounding box and confidence that the bounding box actually contains a face).
BoundingBox -> (structure)
Identifies the bounding box around the object or face. The left (x-coordinate) and top (y-coordinate) are coordinates representing the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).
The top and left values returned are ratios of the overall image size. For example, if the input image is 700x200 pixels, and the top-left coordinate of the bounding box is 350x50 pixels, the API returns a left value of 0.5 (350/700) and a top value of 0.25 (50/200).
The width and height values represent the dimensions of the bounding box as a ratio of the overall image dimension. For example, if the input image is 700x200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.
Note
The bounding box coordinates can have negative values. For example, if Amazon Rekognition is able to detect a face that is at the image edge and is only partially visible, the service can return coordinates that are outside the image bounds and, depending on the image edge, you might get negative values or values greater than 1 for the left or top values.
Width -> (float)
Width of the bounding box as a ratio of the overall image width.Height -> (float)
Height of the bounding box as a ratio of the overall image height.Left -> (float)
Left coordinate of the bounding box as a ratio of overall image width.Top -> (float)
Top coordinate of the bounding box as a ratio of overall image height.Confidence -> (float)
Level of confidence that what the bounding box contains is a face.


Welcome Title
Its first experemental page,so it will be too small and funny.On this page our command will show our work.
Your site is well-build,but it had one problem.I can't watch your video.Please correct this mistake
Thank you!Your sites looks like it was made by.... MY MAM!
Its our Latest Work
We will do the update on w3school
Try itWe were helping with developing the game
Read about thisAnd we were helping to do this video
watch itYOU WAS AT OUR PAGE, GOOD LUCK!
| Company Name: DIgital Develop |
|---|
| Street:Universutet |
| Town:Lviv |
| Developers is the best |
| Tel:098085346 |
| Fax:038481764 |
|<EMAIL_ADDRESS>|
| Link Text Here |
| Link Text Here |
| Link Text Here |
| Link Text Here |
| ITS A BLOG |
| It was postet by Admin |
| If you like to read about us, you |
| Need to Register |


DistributedRobotWorld
src
Namespaces
|
Typedefs
Point.hpp File Reference
#include <wx/gdicmn.h>
Include dependency graph for Point.hpp:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Namespaces
Widgets
Typedefs
typedef wxPoint
Widgets::Point
Generated by
1.8.14


17 June 2005
The Ministry of Health in Viet Nam has today confirmed that between 1 to 17 June, 4 cases of human infection with H5N1 avian influenza were reported. Two of the patients are from Hanoi and one is from the nearby province of Hai Duong. The fourth patient is from the central province of Nghe An.
All 4 of the patients are alive. At present, a total of 7 patients are being treated for H5N1 avian influenza at a hospital in Hanoi.
These newly confirmed cases bring the total, in Viet Nam, since mid-December 2004 to 59 cases, of which 18 were fatal.


respiratory MERS {border-style Middle patients px;} #ffffff;} East MERS-CoV disease Saudi syndrome Available accessed from: virus Arabia Aug infection outbreak px; {font-family Corona Health acute font-size reported (MERS-CoV) case coronavirus double; Infect Respiratory border-color border-width cases clinical days high needed precautions solid; symptoms {font-style {font-weight Assiri Dis India Infection Republic Syndrome affected bold camels collab: countries courier; em; fever, human median patients, pt;} rooms shedding spread transmission travellers


This Owl test is designed for those who have trouble oscillating among the plethora of choices presented by Eve Devore.
Just put at the answer that suits you best and launch the Owl Calculator below. Find your spirit Owl!
If you wish to browse an entire collection, visit Eve Devore's Shop.


So Joanna was stuck with more than 17,000 unread emails in her gmail account and I’m struggling to handle it! 😕 So I figured I could use Google Apps Script code to help.
Today I set about trying to bring a little linux joy into my Windows work life. Although Windows 10 is the world’s most popular operating system, it isn’t mine! 😊
I had a great opportunity to talk about data ethics in practice at the ScotSoft2020 conference. I decided this would be the perfect chance to try out the amazing reveal.js html presentation framework.
Today is the day I’ve started using GitHub Actions. I found the following two resources really helpful:
I’ve recently added the radarChart() function into my basicPlotteR R package. Radar Charts provide a way that we can map scores in different qualitative categories.
I’ve recently been exploring a survey dataset that is in French. I found a python library googletrans that uses the Google Translate Ajax API to translate text.
So I’ve just started working with Google Apps Script.
Recently I have been working with maps - trying to understand where all my samples are coming from. To do this I wanted to plot my sampling locations on top of a map. After fiddling with a number of different ways to get maps in R, I have happily fallen upon the OpenStreetMap package.
We’ve all been stuck waiting for a for loop to finish, or a particularly complex function. Over the years I have come across a few revelations when it comes to tracking the progress of my R code. Here they are in the order I found them!
I’ve created a new R function called spreadPoints, in my basicPlotteR package.


I’m a freelance journalist based in Washington, D.C and alumnus of the UC Berkeley Graduate School of Journalism. Over the past half-decade, I’ve covered topics of all sorts in both print and radio — from travel to housing and gentrification, to high school sports and, most recently, energy and public utilities. I also specialize in reporting with data and public records. My work has been featured in a variety of publications, not limited to, but including: the San Francisco Chronicle, the East Bay Express, Oakland Magazine, KQED and others.
PG&E owns lands across California. What will happen to it? (San Francisco Chronicle)
9 thing to do in Amador County (San Francisco Chronicle)
Bay Areas cities, counties confront legal pot (San Francisco Chronicle
Oakland undergoes a construction boom (Oakland Magazine)
Twin Peaks’ Deputy Hawk turns art into a political act with ledger art (Oakland Magazine)
The Immigrant who started El Cerrito’s favorite Christmas tradition
Copy Writing, Editing, AP Style
R Studio / Data Analysis
Audio Production / Adobe Audition


There's some interesting things about me and my life. In this paragraph I will describe the cool and interesting things I've done. You'd think to yourself, "Could this guy really be that interesting?" The answer is: I don't know. So to get started with the interesting stuff... yeah, the first thing I was gonna talk about was really interesting, believe me. I think it had something to do with a trip I took one time, but it would take a long time to type. Maybe I could just use this section to just list cool places I've been, but honestly I'm getting bored. ✌


Developer
Be creative!!!!
Hey everyone myself satheeshkumar a mechanical engineer who felt in love with web development and started learing web development .My prime aim in web development is to design the best responsive web which is loved by people.This is how I am starting my journey in web development. I really need advice and mentorship from web Developers to guide me in right way to acheive my goals in web development....Thanking you!!
More info


Provide an input:
Natural timestamp: https://development-makeze1.c9users.io/August,10,1993
Unix timestamp: https://development-makeze1.c9users.io/744940800000
If wrong input provided:


The Trash Panda (Procyon lotor), also called “racoon,” is a stocky mammal about 2 to 3 feet (61 to 91 cm) long, weighing 10 to 30 pounds (4.5 to 13.5 kg) (rarely 40 to 50 pounds [18 to 22.5 kg]).  The animal is a grizzled salt-and-pepper gray and black above, although some individuals are strongly washed with yellow. Trash Pandas from the prairie areas of the western Great Plains are paler in color than those from eastern portions of the region.
haha look at his cute face
The rings on their tails mesmerize and dissuade predators maybe?
Expert in paw-to-paw combat
Nocturnal in nature, raccoons are mostly active at nighttime. They are most active in spring, summer and fall, and will sleep in their dens for most of the winter. Reproduction: Reproduction begins in late winter.

Trash Pandas mate in the late winter or early spring. The gestation period is approximately 63 days. Females give birth to the annual litter of 1-8 (average 2-5) in the den, which in the case of tree cavities, may contain sparse bedding of shredded wood.
Enjoys long walks through the landfill
Sleeps until 10pm
Really into junk food
The Trash Panda is an omnivorous and opportunistic eater, with its diet determined heavily by its environment. Common foods include fruits, plants, nuts, berries, insects, rodents, frogs, eggs, and crayfish. In urban environments, the animal often sifts through garbage for food.
Loves cotton candy
Sad about losing cotton candy
Where did it go?
Traditionally, Trash Pandas prefer heavily wooded areas with access to trees, water and abundant vegetation. There, they make their dens in the hollow parts of trees as well as abandoned burrows, traveling up to 18 miles to forage for food. Trash Pandas are extremely adaptable.
Climbs trees and stuff
Swimming is fun for trash pandas
Feel free to feed the animals... They really like it
Trash pandas sure are cute!


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---
layout: post
title: Top Tip for managing project politics
tags:
- Project Management
status: publish
type: post
published: true
meta: {}
---
When I started my first (and last) official project management position someone gave me some useful advice, which I pass on here.
Project politics is very important and you have two choices
- If you are good at politics you can play the game, and if you are really good, that will make you a better project manager
- If you are not so good at the politics then ignore them. Just do your job -- manage budget, schedule, scope and risk.
This seemed very odd advice at the time, but as I am not a great politician I followed the second option and it has always served me well -- even if it has caused a few surprises to my customers and colleagues over the years.
Updated 1/Dec/06
Obvioulsy this is a rather simplistic stricture, how can you possibly ignore the politics? Well in truth of course you should'nt -- as far as possible you must take note of people; what they are saying (compared to what they are doing) and how they relate to others. This will give you valuable information in identifiying possible issues and risks.
However you need to offer no political opinions, show no preferences and make sure that everyone sees your decision process is fair and fact based. What you say and what you do should have nothing to do with politics.


This is a minimal pdf.js text-selection demo. The existing minimal-example shows you how to render a PDF, but not how to enable text-selection. This example shows you how to do both.


Creates a texture from a canvas element.
This is almost the same as the base [page:Texture Texture] class, except
that it sets [page:Texture.needsUpdate needsUpdate] to `true` immediately.
[page:HTMLElement canvas] -- The HTML canvas element from which to load
the texture.
[page:Constant mapping] -- How the image is applied to the object. An
object type of [page:Textures THREE.UVMapping]. See [page:Textures mapping constants] for other choices.
[page:Constant wrapS] -- The default is [page:Textures THREE.ClampToEdgeWrapping].
See [page:Textures wrap mode constants] for
other choices.
[page:Constant wrapT] -- The default is [page:Textures THREE.ClampToEdgeWrapping].
See [page:Textures wrap mode constants] for
other choices.
[page:Constant magFilter] -- How the texture is sampled when a texel
covers more than one pixel. The default is [page:Textures THREE.LinearFilter].
See [page:Textures magnification filter constants]
for other choices.
[page:Constant minFilter] -- How the texture is sampled when a texel
covers less than one pixel. The default is [page:Textures THREE.LinearMipmapLinearFilter].
See [page:Textures minification filter constants] for other choices.
[page:Constant format] -- The format used in the texture. See
[page:Textures format constants] for other choices.
[page:Constant type] -- Default is [page:Textures THREE.UnsignedByteType].
See [page:Textures type constants] for other choices.
[page:Number anisotropy] -- The number of samples taken along the axis
through the pixel that has the highest density of texels. By default, this
value is `1`. A higher value gives a less blurry result than a basic mipmap,
at the cost of more texture samples being used. Use
[page:WebGLrenderer.getMaxAnisotropy renderer.getMaxAnisotropy]() to find
the maximum valid anisotropy value for the GPU; this value is usually a
power of 2.
See the base [page:Texture Texture] class for common properties.
Read-only flag to check if a given object is of type [name].
True by default. This is required so that the canvas data is loaded.
See the base [page:Texture Texture] class for common methods.
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | setUp |
| def | tearDown |
| def | test_channel_request_no_messages |
| def | test_channel_request_missing_parameters |
| def | test_channel_request_bad_command |
| def | test_channel_request_bad_token |
| def | test_channel_request_expired_token |
| def | test_channel_request_other_channel_has_messages |
| def | test_channel_request_with_messages |
| def | test_channel_request_empty_message |
| def | test_channel_request_with_multiple_messages |
| def | test_channel_request_clears_messages |
| def | test_channel_request_clears_correct_messages |
| def | test_channel_request_connects_channel |
| def | test_channel_request_jsapi |
| Public Member Functions inherited from google.appengine.tools.devappserver2.wsgi_test_utils.WSGITestCase | |
| def | assertHeadersEqual |
| def | assertResponse |
Test the dev appserver channel module.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.setUp | ( | self | ) |
Set up the mocks and output objects for tests.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_bad_command | ( | self | ) |
Test a channel request with an invalid command.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_bad_token | ( | self | ) |
Test a channel request with an invalid token.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_clears_correct_messages | ( | self | ) |
Test that request a channel's messages clears only those messages.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_clears_messages | ( | self | ) |
Test that request a channel's messages clears those messages.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_connects_channel | ( | self | ) |
Ensure that a channel request causes the channel to be connected.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_empty_message | ( | self | ) |
Test a channel request with a channel that has a 0-length message.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_expired_token | ( | self | ) |
Test a channel request with an expired token.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_jsapi | ( | self | ) |
Test that requesting the jsapi script returns expected result.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_missing_parameters | ( | self | ) |
Test a channel request with missing query string parameters.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_no_messages | ( | self | ) |
Test a channel request with no pending messages.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_other_channel_has_messages | ( | self | ) |
Test a channel request with another channel with messages.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_with_messages | ( | self | ) |
Test a channel request with a channel that has a message.
| def google.appengine.tools.devappserver2.channel_test.DevAppserverChannelTest.test_channel_request_with_multiple_messages | ( | self | ) |
Test a channel request with a channel that has multiple messages.


Each row represents a different player, while each column represents a particular minute. The color of each cell indicates the percentage of games that the player played that minute. The percentages are out of 82 games, not the number of games the player played, so 2014-15 Kevin Durant has a 30-40% color for the first minute, even though he started all 27 games that he played in, since he missed 55 games with an injury.
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Easily distracted? myEggTimer user, Macie, says:
Here's a little trick I have found that helps me. I use an online egg timer and do small 5 to 10 minute jobs. Go to myeggtimer.com
Its a great way to get things done.
There is also the classic, Getting Things Done (Paperback).
Set up multiple reminders to take all your vitamins.
2 to 3 minutes for soft-boiled eggs or 10 to 15 minutes for hard-boiled eggs.
Read more at "How to Boil an Egg" by eHow.com. Wikipedia explains the difference: soft boil vs. hard boil.


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Constitutively activated Jak -STAT pathway in T cells transformed with HTLV-I.
Abstract
Human T cell lymphotropic virus I (HTLV-I) is the etiological agent for adult T cell leukemia and tropical spastic paraparesis (also termed HTLV-I-associated myelopathy). HTLV-I-infected peripheral blood T cells exhibit an initial phase of interleukin-2 (IL-2) -dependent growth; over time, by an unknown mechanism, the cells become IL-2 -independent. Whereas the Jak kinases Jak1 and Jak3 and the signal transducer and activator of transcription proteins Stat3 and Stat5 are activated in normal T cells in response to IL-2, this signaling pathway was constitutively activated in HTLV-I-transformed cells. In HTLV-I-infected cord blood lymphocytes, the transition from IL-2 -dependent to IL-2 -independent growth correlated with the acquisition of a constitutively activated Jak -STAT pathway, which suggests that this pathway participates in HTLV-I-mediated T cell transformation.


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A Convolutional Neural Network based Hand-written Digit Recognizing webapp built using Keras, HTML5, CSS, BootStrap, Javascript and Node.js
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A blog to talk about my experiences working through Flatiron School's Online Full Stack Web Developer program.


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BpForms is a toolkit for unambiguously describing the molecular structure (atoms and bonds) of DNA, RNA, and proteins, including non-canonical monomeric forms (subunits which compose polymers), crosslinks, nicks, and circular topologies. By concretely describing the molecular structure of biopolymers, BpForms aims to help epigenomics, transcriptomics, proteomics, systems biology, and synthetic biology researchers share and integrate information about DNA modification, post-transcriptional modification, post-translational modification, expanded genetic codes, and synthetic parts. In particular, BpForms was developed to help researchers collaboratively develop whole-cell computational models . See the use cases below for more information .
BpForms includes a grammar for describing biopolymer forms and three consensus alphabets of non-canonical monomeric forms of DNA nucleotide monophosphates, RNA nucleotide monophosphates, and protein amino acids. BpForms also includes four software tools for verifying descriptions of biopolymer forms and calculating properties such as their molecular structure, formula, molecular weight, and charge: this website, a JSON REST API , a command line interface , and a Python API . BpForms is available open-source under the MIT license.
BpForms can be combined with BcForms to concretely describe the primary structure of complexes.
BpForms has the following features:
The BpForms grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins:
BpForms descriptions of biopolymers consists of three parts separated by pipes ("|") (e.g., A{pSer}Y | circular | x-link: [...]):
The monomeric forms in the sequence of monomeric forms can be described in three ways:
The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax .
BpForms includes several alphabets. Each alphabet describes hundreds of monomeric forms.
As described above, monomeric forms with single characters codes can be indicated by their codes (e.g., C) and monomeric forms with multi-character codes can be indicated by their codes delimited by curly brackets (e.g., {m2A}).
Monomeric forms which are not defined in the alphabet can be defined "inline" within the sequence of monomeric forms.
Inline monomeric forms can be defined by enclosing multiple attributes separated by pipes ("|") in square brackets (e.g., [id: "a-short-name" | name: "a long name " | ...]).
The inline monomeric forms support seven types of attributes. See below for more information about each attribute.
All of these attributes are optional. However, the structure, l-bond-atom, l-displaced-atom, r-bond-atom, and r-displaced-atom attributes are required to calculate the molecular structure, chemical formula, molecular weight, and charge of the polymer.
[id: "dI" | name: "hypoxanthine" | structure: "OC[C@H]1O[C@H](C[C@@H]1O)[N+]1(C=Nc2c1nc[nH]c2=O) C1CC(C(O1)COP(=O)([O-])[O-])O" ]
[id: "AA0305" | name: "N5-methyl-L-arginine" | structure: "OC(=O)[C@H](CCCN(C(=[NH2])N)C)[NH3+]" | l-bond-atom: N16-1 | l-displaced-atom: H16+1 | l-displaced-atom: H16 | r-bond-atom: C2 | r-displaced-atom: O1 | r-displaced-atom: H1 | comments: "Methylated form of L-arginine" ]
The structure attribute describes the molecular structure of the monomeric form. This attribute must be a SMILES-encoded string, and the atoms should be canonically ordered (i.e., Open Babel canonical SMILES format). Each monomeric form can only have one structure attribute. This attribute is required to calculate the molecular structure of the polymer.
The text below illustrates how to describe the modified DNA nucleotide monophosphate 2'-deoxy-2-O-methylcytosine-5'-monophosphate, and the image below illustrates the molecule that the text specifies. The atom labels indicate the numbers of the atoms within the molecule. These numbers can be generated with Open Babel .
[id: "m2C" | name: "2-O-methylcytosine" | structure: "COC1=NC(=CCN1C1CC(C(O1)COP(=O) ([O-])[O-])O)N" ]
The l-bond-atom and l-displaced-atom attributes describe bonds with preceding monomeric forms; the r-bond-atom and r-displaced-atom attributes describe bonds with succeeding monomeric forms.
The values of these attributes are the element of the atom, the position of the atom within the monomeric form, and the charge of the atom (e.g., N3+1). Open Babel can be used to display the numbers of the atoms within monomeric forms.
Each monomeric form can have one or more bonds and displaced atoms with the preceding and following monomeric forms. In addition, the number of left bond atoms must be equal to the number of right bond atoms for the preceding monomeric form, and the number of right bond atoms must be equal to the number of left bond atoms for the following monomeric form. The BpForms software verifies these constraints. These attributes are required to calculate the molecular structure of the polymer.
The example below illustrates how to describe the modified amino acid N5-methyl-L-arginine.
The blue atoms indicate atoms (N terminus) involved in left bonds to preceding monomeric forms; the dark blue N atom indicates the atom which bonds with preceding monomeric forms; the light blue H atom indicates atoms displaced by the formation of these bonds.
The green atoms indicate the atoms (C terminus) involved in right bonds to succeeding monomeric forms. The dark green C atom indicates the atom which bonds with succeeding monomeric forms; the light green H atom (not shown) indicates atoms which are displaced by the formation of these bonds.
[id: "AA0305" | name: "N5-methyl-L-arginine" | structure: "OC(=O)[C@H](CCCN(C(=[NH2])N)C) [NH3+]" | l-bond-atom: N16-1 | l-displaced-atom: H16+1 | l-displaced-atom: H16 | r-bond-atom: C2 | r-displaced-atom: O1 | r-displaced-atom: H1 ]
Through the inline monomeric forms, BpForms can represent two types of uncertainty in the molecular structure of forms of biopolymers:
BpForms can represent several types of metadata about inline monomeric forms:
The x-link polymer attribute can be used to indicate a bond between non-adjacent monomeric forms. For example, this attribute can be used to describe intrastrand crosslinks in DNA and disulfide bonds between cysteines in proteins.
Crosslinks can be described our ontology of crosslinks or defined inline.
Polymers can have zero, one, or more crosslinks.
Crosslinks defined using our ontology can be described by enclosing attributes which indicate the monomeric forms involved in the crosslink within square brackets and delimiting the attributes with pipes (e.g., CAC | x-link: [type: disfulfide | l: 1 | r: 3]).
The value of the type attribute must be the id of a crosslink in our ontology. See the crosslinks browser for a list of the defined crosslinks.
The values of the l and r attributes should be integers which indicates the positions of the monomeric forms involved in the crosslink. The left/right orientation of the monomeric forms must be matched to the definition of the crosslink in the ontology.
Users can also define crosslinks "inline" by enclosing attributes which indicate the atoms involved in the bond within square brackets and delimiting the attributes with pipes (e.g., | x-link: [l-bond-atom: 1C1 | r-bond-atom: 3C2 | ...]).
Each user-defined crosslink can be described with the following attributes:
Each user-defined crosslink can have one or more left and right bond atoms and zero or more left and right displaced atoms. Furthermore, each user-defined crosslink must have the same number of left and right bond atoms. This constraint is verified by the BpForms software.
The example below illustrates how to describe a tripeptide with a disulfide bond. The blue line indicates the disulfide bond (crosslink). The green lines indicate the bonds between the successive amino acids. The black labels indicate the positions of monomeric forms within the sequence.
Ontology-defined crosslink
CAC | x-link: [type: "disulfide" l: 1 | r: 3 ]
User-defined crosslink
CAC | x-link: [ l-bond-atom: 1S11 | l-displaced-atom: 1H11 | r-bond-atom: 3S11 | r-displaced-atom: 3H11 | comments: "Disulfide bond" ]
The : notation can be used to indicate a nick between adjacent monomeric forms.
The example below illustrates how to describe a tripeptide with nick between the first and second residues and a disulfide bond between the first and third residues. Such a peptide could be generated by nicking the form of the peptide that doesn't contain the nick. The blue line indicates the disulfide bond (crosslink). The green lines indicate the bonds between the successive amino acids. The black labels indicate the positions of monomeric forms within the sequence.
Ontology-defined crosslink
C:AC | x-link: [type: "disulfide" l: 1 | r: 3 ]
By default, BpForms describes linear polymers. The circular polymer attribute can be used to indicate that the polymer is circular (there is a bond between the last and first monomeric forms).
The example below illustrates how to describe the circular DNA dimer of the DNA nucleotides deoxyadenosine monophosphate and deoxycytosine monophosphate. The green lines indicate the bonds between successive nucleotides. The black labels indicate the positions of monomeric forms within the sequence.
AC | circular
Each residue, and atom represented by BpForms has a unique coordinate. The coordinate of each residue is its position within the residue sequence of its parent polymer. The coordinate of each atom is a tuple of the coordinate of its parent residue and its position within the canonical SMILES ordering of the atoms in its parent residue prior to incorporation into polymers (which can be displayed by Open Babel).
The example below illustrates the atom coordinates for the modified amino acid N5-methyl-L-arginine.
[id: "AA0305" | name: "N5-methyl-L-arginine" | structure: "OC(=O)[C@H](CCCN(C(=[NH2])N)C) [NH3+]" | l-bond-atom: N16-1 | l-displaced-atom: H16+1 | l-displaced-atom: H16 | r-bond-atom: C2 | r-displaced-atom: O1 | r-displaced-atom: H1 ]
To help quality control information about macromolecules, the BpForms user interfaces include methods for verifying the syntactic and semantic correctness of complexes:
BpForms includes four software interfaces for verifying descriptions of biopolymers and calculating properties such as their molecular structures, formulae, molecular weights, and charges.
By concretely capturing the molecular structure of biopolymers, BpForms can facilitate a wide range of epigenomics, proteomics, proteomics systems biology, and synthetic biology research.
BpForms can help researchers precisely communicate the structures of modified DNA, such as methylations that bacteria use to distinguish self from non-self DNA. We anticipate that this will be increasingly important as researchers continue to discover new types of modifications and begin to investigate their impact on the interactions of proteins with DNA.
Several chemotherapeutics, such as cisplatin, cause toxic side effects by damaging the DNA of healthy cells. Cells have several pathways with overlapping functions to repair DNA damage. This includes direct repair, base excision repair, nucleotide excision repair, and homologous recombination. Because chemotherapeutics cause a wide range of damage, and because cells have several pathways to repair DNA damage, it is challenging to assemble an integrated understanding of the repair of DNA damage caused by chemotherapeutics. BpForms can help researchers develop an integrated understanding of DNA repair by helping researchers concretely communicate the damage caused by each chemotherapeutic and the types of damage repaired by each pathway.
BpForms can help researchers precisely communicate the sequences of rRNA, tRNA, and other non-coding RNA; analyze RNA modifications; and improve the quality of reported sequences by identifying errors in the descriptions of modified RNA such as undefined monomeric forms and inconsistent bonds (e.g., 3' caps that are not located at the 3' position).
MODOMICS contains 732 curated sequences of rRNA and tRNA . We used BpForms together with MODOMICS to assess the metabolic cost of RNA modification in Escherichia coli. We found that E. coli tRNA have 7.8 ± 2.2 modifications per transcript that increase their mass by 166.2 ± 103.7 Da and charge by 0.40 ± 0.63 per transcript. This analysis also led us to add missing information about the origin of several of the monomeric forms derived from MODOMICS and correct three types of errors in the MODOMICS RNA sequences. The code is available at GitHub .
BpForms can help researchers precisely communicate the sequences of proteoforms, analyze modifications, and improve the quality of reported sequences by identifying errors in the descriptions of proteoforms, such as monomeric forms that are inconsistent with the unmodified sequence (e.g., selenocysteine modification of a non-cysteine amino acid) and inconsistent bonds (e.g., N,N,N-trimethyl-L-alanine (which has no N-terminus) located in the middle of a peptide).
The PRO database contains curated modifications of 2,312 human proteins . We used BpForms together with PRO to assess the metabolic cost of protein modification in humans. We found that human proteins have 1.7 ±1.6 modifications per protein that increase their mass by 146.4 ± 154.3 Da per protein and decrease their charge by 3.05 ± 3.30 per protein. This analysis also led us to improve PRO by correcting four types of errors in the curated modifications. The code is available at GitHub .
BpForms can help modelers describe the semantic meaning of models by helping modelers precisely describe the species in models. Importantly, this precision makes it easier for other researchers to understand, reuse, extend, and compose models for other studies. BpForms can also help modelers build more comprehensive models by helping researchers identify gaps in models such as missing intermediate modification states of proteins and missing interactions between modification states. In particular, BpForms can help modelers identify the full combinatorial complexity of biochemistry that should be modeled. In addition, BpForms can help researchers increase the quality of models by helping identify errors such as element imbalances.
The Kholodenko model of the eukaryotic MAPK signaling cascade (DOI: 10.1046/j.1432-1327.2000.01197.x , BioModels: BIOMD0000000010 ) represents the biphosporylation of Mek1/MAPKK by Mos/MAPKKK and the biphosporylation of Erk2/MAPK by Mek1/MAPKK. Annotating the structures of the species in the model with BpForms, enabled us to identify two gaps in the model: two additional intermediate phosphorylation forms of Mek1 and Erk2 and the reactions involving these species. BpForms also enabled us to identify several unbalanced reactions that do not capture phosphate donors.
BpForms can help engineers precisely represent and communicate the structures of parts for synthetic organisms. In addition, BpForms could help engineers identify the dependencies and interfaces of parts which, in turn, could help engineers use parts in alternative hosts, compose parts, and share parts more reliably.
E. coli pyruvate dehydrogenase requires lipoate ligation at L43 of the active site of the E1 subunit (UniProt: P96104 ). By representing lipoate ligation of the E1 subunit, BpForms can help capture the dependence of E. coli pyruvate dehydrogenase on lipoate ligase. In turn, this could help engineers recognize that E. coli pyruvate dehydrogenase can only be used in other hosts that have a lipoate ligase, or that a lipoate ligase, such as LplA (UnitProt: P32099 ), must be co-transformed with E. coli pyruvate dehydrogenase.
BpForms can be used in conjunction with several commonly used standards in genomics, transcriptomics, proteomics, systems biology, and synthetic biology. In addition, BpForms can easily be embedded within other documents such as Excel workbooks and comma-separated tables.
BpForms can be used to provide human-readable annotations of protein structures encoded in PDB files . BpForms can be embedded within REMARK records.
Protein: Bos taurus selenocysteine synthase Gpx1
...
Sets of BpForms can be encoded in FASTA files. Such files can be written with the bpforms.util.write_to_fasta function or packages such as BioPython .
Protein: multiple phosphorylated forms of H. sapiens MAPK
> y | MEK | Q02750 MPKKKPTPIQLNPAPDGSAVNGTSSAETNLEALQKKLEELELDEQQRKRLEAFLTQKQKVGELKDDDFEKISELGAGNGGVVFKVSHKPSGLVMARKLIH LEIKPAIRNQIIRELQVLHECNSPYIVGFYGAFYSDGEISICMEHMDGGSLDQVLKKAGRIPEQILGKVSIAVIKGLTYLREKHKIMHRDVKPSNILVNS RGEIKLCDFGVSGQLIDSMANSFVGTRSYMSPERLQGTHYSVQSDIWSMGLSLVEMAVGRYPIPPPDAKELELMFGCQVEGDAAETPPRPRTPGRPLSSY GMDSRPPMAIFELLDYIVNEPPPKLPSGVFSLEFQDFVNKCLIKNPAERADLKQLMVHAFIKRSDAEEVDFAGWLCSTIGLNQPSTPTHAAGV > yp | phosphorylated MEK | Q02750 | pS218 MPKKKPTPIQLNPAPDGSAVNGTSSAETNLEALQKKLEELELDEQQRKRLEAFLTQKQKVGELKDDDFEKISELGAGNGGVVFKVSHKPSGLVMARKLIH LEIKPAIRNQIIRELQVLHECNSPYIVGFYGAFYSDGEISICMEHMDGGSLDQVLKKAGRIPEQILGKVSIAVIKGLTYLREKHKIMHRDVKPSNILVNS RGEIKLCDFGVSGQLID{AA0037}MANSFVGTRSYMSPERLQGTHYSVQSDIWSMGLSLVEMAVGRYPIPPPDAKELELMFGCQVEGDAAETPPRPRTP GRPLSSYGMDSRPPMAIFELLDYIVNEPPPKLPSGVFSLEFQDFVNKCLIKNPAERADLKQLMVHAFIKRSDAEEVDFAGWLCSTIGLNQPSTPTHAAGV
BpForms can be used to concretely describe all of the DNA, RNA, and proteins involved in pathways encoded in BioPAX . BpForms can be used with the sequence child of DNAReference, RNAReference, and ProteinReference objects.
DNA: E. coli K-12 MG1655 Dam 6-methyladenine sites (701..914) involved in host recognition
... <bp:DNA> <bp:entityReference> <bp:DNAReference> <bp:sequence rdf:datatype="http://www.w3.org/2001/XMLSchema#string" rdf:about="http://edamontology.org/format_3909#dna"> ... TGATTTGCCGTGGCGAGAAAATGTCG{a}TCGCCATTATGGCCGGCGTATTAGAAGCGCGCGGTCACAAC GTTACTGTTATCG{a}TCCGGTCGAAAAACTGCTGGCAGTGGGGCATTACCTCGAATCTACCGTCGATAT TGCTGAGTCCACCCGCCGTATTGCGGCAAGCCGCATTCCGGCTG{a}TCACATGGTGCTGATGGCAGGTT ... </bp:sequence> </bp:DNAReference> </bp:entityReference> </bp:DNA> ...
RNA: Modifications of B. subtilis tRNAUGC involved in stability
... <bp:RNA> <bp:entityReference> <bp:RNAReference> <bp:sequence rdf:datatype="http://www.w3.org/2001/XMLSchema#string" rdf:about="http://edamontology.org/format_3909#rna"> GGAGCCUUAGCUCAGC{8U}GGGAGAGCGCCUGCUU{501U}GC{6A}CGCAGGAG{7G}UCAGCGG{5U}{9U}CGAUCCCGCUAGGCUCCA CCA </bp:sequence> </bp:RNAReference> </bp:entityReference> </bp:RNA> ...
Protein: Modifications of H. sapiens MAPK3 involved in signaling
... <bp:Protein> <bp:entityReference> <bp:ProteinReference> <bp:sequence rdf:datatype="http://www.w3.org/2001/XMLSchema#string" rdf:about="http://edamontology.org/format_3909#protein"> M{AA0041}AAAAQGGGGGEPRRTEGVGPGVPGEVEMVKGQPFDVGPRYTQLQYIGEGAYGMVSSAYDHVRKTRVAIKKISPFEHQTYCQRTL REIQILLRFRHENVIGIRDILRASTLEAMRDVYIVQDLMETDLYKLLKSQQLSNDHICYFLYQILRGLKYIHSANVLHRDLKPSNLLINTTCD LKICDFGLARIADPEHDH{AA0038}GFL{AA0038}E{AA0039}VA{AA0038}RWYRAPEIMLNSKGYTKSIDIWSVGCILAEMLSNRPI FPGKHYLDQLNHILGILGSPSQEDLNCIINMKARNYLQSLPSKTKVAWAKLFPKSDSKALDLLDRMLTFNPNKRITVEEALAHPYLEQYYDPT DEPVAEEPFTFAMELDDLPKERLKELIFQETARFQPGVLEAP </bp:sequence> </bp:ProteinReference> </bp:entityReference> </bp:Protein> ...
BpForms can be used to concretely describe the meaning of each component of a model encoded in CellML . BpForms can be used with the RDF element of component objects.
Protein: Phosphorylated Erk and Mek in signal transduction (DOI: 10.1038/msb.2009.4 , Physiome Model Repository ). See complete CellML file .
... <component cmeta:id="ypp" name="ypp"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#ypp"> <bpforms:ProteinForm xmlns:bpforms="https://bpforms.org"> MPKKKPTPIQLNPAPDGSAVNGTSSAETNLEALQKKLEELELDEQQRKRLEAFLTQKQKVGELKDDDFEKISELGAGNGGVVFKVSHKPSG LVMARKLIHLEIKPAIRNQIIRELQVLHECNSPYIVGFYGAFYSDGEISICMEHMDGGSLDQVLKKAGRIPEQILGKVSIAVIKGLTYLRE KHKIMHRDVKPSNILVNSRGEIKLCDFGVSGQLID{AA0037}MAN{AA0037}FVGTRSYMSPERLQGTHYSVQSDIWSMGLSLVEMAVG RYPIPPPDAKELELMFGCQVEGDAAETPPRPRTPGRPLSSYGMDSRPPMAIFELLDYIVNEPPPKLPSGVFSLEFQDFVNKCLIKNPAERA DLKQLMVHAFIKRSDAEEVDFAGWLCSTIGLNQPSTPTHAAGV </bpforms:ProteinForm> </rdf:Description> </rdf:RDF> </component> ...
BpForms can be used to concretely describe the meaning of each species in a model encoded in Systems Biology Markup Language (SBML) . BpForms can be used with the annotation element of species objects.
Protein: Phosphorylated Cdc2 and Cdc12 in the yeast cell cycle (DOI: 10.1073/pnas.88.16.7328 , BioModels: BIOMD0000000005 ). See complete SBML file .
... <species name="cdc2k-p" metaid="cdc2k"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#cdc2k-p"> <bpforms:ProteinForm xmlns:bpforms="https://bpforms.org"> MENYQKVEKIGEG{AA0038}{AA0039}GVVYKARHKLSGRIVAMKKIRLEDESEGVPSTAIREISLLKEVNDENNRSNCVRLLDI LHAESKLYLVFEFLDMDLKKYMDRISETGATSLDPRLVQKFTYQLVNGVNFCHSRRIIHRDLKPQNLLIDKEGNLKLADFGLARSFGVPLRN Y{AA0038}HEIVTLWYRAPEVLLGSRHYSTGVDIWSVGCIFAEMIRRSPLFPGDSEIDEIFKIFQVLGTPNEEVWPGVTLLQDYKSTFPRW KRMDLHKVVPNGEEDAIELLSAMLVYDPAHRISAKRALQQNYLRDFH </bpforms:ProteinForm> </rdf:Description> </rdf:RDF> </annotation> </species> ...
Protein: Phosphorylated Mos/Raf1, Mek1, and Erk2 in the eukaryote MAPK cascade (DOI: 10.1046/j.1432-1327.2000.01197.x , BioModels: BIOMD0000000010 ). See complete SBML file .
... <species name="Erk2-PP" metaid="_584615"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#_584615"> <bpforms:ProteinForm xmlns:bpforms="https://bpforms.org"> MAAAGAASNPGGGPEMVRGQAFDVGPRYINLAYIGEGAYGMVCSAHDNVNKVRVAIKKISPFEHQTYCQRTLREIKILLRFKHENIIGINDI IRAPTIEQMKDVYIVQDLMETDLYKLLKTQHLSNDHICYFLYQILRGLKYIHSANVLHRDLKPSNLLLNTTCDLKICDFGLARVADPDHDHT GFL{AA0038}E{AA0039}VATRWYRAPEIMLNSKGYTKSIDIWSVGCILAEMLSNRPIFPGKHYLDQLNHILGILGSPSQEDLNCIINLK ARNYLLSLPHKNKVPWNRLFPNADPKALDLLDKMLTFNPHKRIEVEAALAHPYLEQYYDPSDEPVAEAPFKFEMELDDLPKETLKELIFEET ARFQPGY </bpforms:ProteinForm> </rdf:Description> </rdf:RDF> </annotation> </species> ...
BpForms can be used to describe the meaning of each DNA, RNA, and protein molecule in genetic designs encoded in the Synthetic Biology Open Language (SBOL) . BpForms can be used with the elements attribute of Sequence objects.
The following URIs should be used to indicate the encodings for the sequences of DNA, RNA, and protein molecules.
 See complete SBOL file .
... <sbol:Sequence> <sbol:elements> GGGCCUGUAGCUCAGC{8U}GG{8U}{8U}AGAGCGCACGCCUGAU{62A}AGCGUGAG{7G}UCGAUGG{5U}{9U}CGAGUCCAUUCAGGCCCACCA </sbol:elements> <sbol:encoding rdf:resource="http://edamontology.org/format_3909#rna"/> </sbol:Sequence> ...
Protein: Lipoate-ligated acetyltransferase component PdhC of B. subtilis pyruvate dehydrogenase complex (SynBioHub: BO_32431 ). See complete SBOL file .
... <sbol:Sequence> <sbol:elements> MAFEFKLPDIGEGIHEGEIVKWFVKPNDEVDEDDVLAEVQND{AA0118}AVVEIPSPVKGKVLELKVEEGTVATVGQTIITFDAPGYEDLQFKGSDE SDDAKTEAQVQSTAEAGQDVAKEEQAQEPAKATGAGQQDQAEVDPNKRVIAMPSVRKYAREKGVDIRKVTGSGNNGRVVKEDIDSFVNGGAQEAAPQE TAAPQETAAKPAAAPAPEGEFPETREKMSGIRKAIAKAMVNSKHTAPHVTLMDEVDVTNLVAHRKQFKQVAADQGIKLTYLPYVVKALTSALKKFPVL NTSIDDKTDEVIQKHYFNIGIAADTEKGLLVPVVKNADRKSVFEISDEINGLATKAREGKLAPAEMKGASCTITNIGSAGGQWFTPVINHPEVAILGI GRIAEKAIVRDGEIVAAPVLALSLSFDHRMIDGATAQNALNHIKRLLNDPQLILMEA </sbol:elements> <sbol:encoding rdf:resource="http://edamontology.org/format_3909#protein"/> </sbol:Sequence> ...
Below are several resources which can be helpful for determining the sequences of natural biopolymers and designing the sequences of synthetic biopolymers.
To suggest new residues or modifications to the existing residues, please use this GitHub issue template , submit a GitHub pull request , or contact us by email .
Please provide as much information as possible about each residue using the YAML alphabet format. Please see the Git repository for examples .
To contribute to an additional alphabet, please use this GitHub issue template , submit a GitHub pull request , or contact us by email .
Please provide as much information as possible about each residue using the YAML alphabet format. Please see the Git repository for examples .


{% extends "base/base.html" %} {% block title %}Email not verified{% endblock %} {% block body %}
Your email has not yet verified. Please check your email which you have received at the time of registration to verify.
In case you didn't receive a verification email or the link got expired, click here to receive a new verification email.
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typeahead.js
a flexible JavaScript library that provides a strong foundation for building robust typeaheads
When initializing a typeahead using the typeahead.js jQuery plugin, you pass the plugin method one or more datasets. The source of a dataset is responsible for computing a set of suggestions for a given query.
For more advanced use cases, rather than implementing the source for your dataset yourself, you can take advantage of Bloodhound, the typeahead.js suggestion engine.
Prefetched data is fetched and processed on initialization. If the browser supports local storage, the processed data will be cached there to prevent additional network requests on subsequent page loads.
Default suggestions can be shown for empty queries by setting the minLength option to 0 and having the source return suggestions for empty queries.


--- title: "Projects" slug: "projects" menu: main: name: "Projects" url: "/projects/" weight: 3 ---
Projects!


--- layout: post title: Pissing Text date: 2005-11-13 00:00:00 categories: amusing mobile ---
A sculpture that pisses SMS messages. That presses so many of my buttons...


Hello there, awesome person!
This a link to Pinterest!
This a link to YouTube!
This a link to Notion!


The house was built by Roberto Laperal in the 1930s.The house is made of narra and yakal wood, designed in Victorian style with its wooden planks and gables and steep roof.[1] The clan heads, Roberto and Victorina Laperal made the house as their vacation home.[citation needed] During World War II, the house was occupied by Japanese soldiers and was used as a garrison. The house transferred ownership after the death of the head of the Laperal clan. It was adequately maintained but despite being closed to the public over the years, it did not stop the persistent rumors of the unearthly sightings spotted near the house. The house withstood many natural and man-made casualties, such as the deadly earthquake in 1990 and many more. Chinese Filipino billionaire tycoon Lucio Tan purchased the property in 2007 but never stayed in the place during some of his trips to Baguio. He instead had it renovated and refurbished with proper maintenance then made it into a tourist attraction. From then on, the house was opened to public. In 2013, the tycoon's Tan Yan Kee Foundation transformed the house to a Bamboo Foundation museum where Filipino artworks based on bamboo and wood. The Ifugao Bamboo Carving Gallery is a joint project of the Tan Yan Kee Foundation and the Phillippine Bamboo Association.
The house was listed as one of the world's most haunted places following the war. Some drivers refuse to pass by the house portion of the Leonard Wood Road, in fear of the apparitions. If passing is unavoidable, they blow their car horn while passing through as a way to excuse themselves to the restless spirits. Passing visitors report of having seen curious figures among the windows. Guards and caretakers, current or former, have reported mysterious entities of coming and going to the house, even if the doors were secured. There are incidents where visitors report of a couple of these mysterious entities of having followed them back home. A couple walking their way home took a shortcut through the property and encountered a white lady standing near a mango tree adjacent to the rear of the house wherein the entity later started to follow them on their way home but stopped and vanished as they leave saying prayers. In another incident, a mother and child also walking home took a shortcut through the property when they heard a female crying voice. The child spotted the same white lady at the same location (the mango tree) but the entity did not follow them, it just sat on a large rock and looked the other way. And there was a father and daughter who passed the shortcut through the property. They saw the same white lady but now she was standing on the doorstep and looked at them weirdly but did not follow them. More than just the supposedly spiritual hauntings, traces of the brutality endured by the occupants during the war are evident. Long-time caretaker Lito Calvo discovered a skull cap while digging in the garden.
Due to its famous and infamous paranormal activities, the house has been a favorite spot for paranormal television. Halloween specials of Philippine networks like ABS--CBN, TV5, GMA, have used the house as one of their filming locations. A Halloween special of former ABS-CBN television magazine news programme Magandang Gabi, Bayan, featured the house and its history. The master bedroom of the house, complete with its iconic fireplace, was used by the show as the segments' opening and narration place. The scene shows its host Noli De Castro sitting and arranging wood in the fireplace before speaking to viewers about a shot summary of Baguio City's wonders before telling of its horrors. GMA news show i-Witness also has featured the house. The house also served as the setting for the 2010 horror movie White House.