I am a Master's student in the Computer Science department at University of California, San Diego. My interests include Distributed Systems, Machine Learning and the intersection of the two. I was a Software Developer in the Adobe Media Optimizer team at Adobe where I built a streaming architeture for search advertising attribution. I graduated from IIT Kanpur in 2017 with a major in Computer Science and Engineering. In the summer of 2016, I interned at Adobe BigData Experience Lab where I worked on integrating a Topic Model based prediction system within Adobe Illustrator.
My hobbies include reading and playing all kinds of sports - Badminton, TT, Tennis, Squash, Basketball. I was a member of the Badminton team at IIT Kanpur and won several tournaments for the institute.
MS in Computer Science, 2021
University of California, San Diego
B.Tech. in Computer Science, 2017
Indian Institute of Technology, Kanpur
Benchmarking the Ubuntu Operating System
Using UDP hole-punching for Serverless Communication
In recent years, the proliferation of internet technology has created a surge in machine generated events. These events generally have …
Getting people to agree on something is hard. Getting machines connected through an asychronous network to agree on something is …
A comparative study of Virtual Machines, Containers and Serverless
Predicting values loaded by machine intructions to aid Instruction Level Parallelism.
Probabilistic Models for Bayesion Recommender Systems.
Teaching a computer vision system to localize and describe salient regions in images in natural language
Text Summarization for Long Documents like research papers.


Test case for focus code when dojo is loaded into an iframe. Not supported officially but checking in test case anyway.
Automated test will focus this input, causing a console message:
Dojo is loaded into this iframe:


Topicstarter
I have a Support Request from a user in the BBLog Chat that he cant import hsi Data from the Cloud (he is using firefox)
I have tried it with his key and it works in chrome.
installed Firefox in the office and i cant import any saved settings from the cloud.
the history will be displayed after importing but not the settings and else.
making currently some tests with juress and the user who have reported this bug to me...
BrainFooLong
Administrator
Fixed in next release. Firefox only was buggy.


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I Am a page Header
I have a fixed position
#application-container +-- header +-- nav +-- main +--- header +--- nav +--- page-content +--- .sidebar +--- #main +--- .sidebar
The logic of cybernetics, applied to the history of the universe, is in the process of demonstrating how the galaxies, the solar system, the Earth, cellidar life could not help but be born. According to cybernetics, the universe is formed by a series of feedbacks, positive and negative, at first through the force of gravity that concentrates masses of hydrogen in the primitive cloud, then through nuclear force and centrifugal force which are balanced with the first. From the moment that the process is set in motion, it can only follow the logic of this chain.
Yes, but at the beginning nobody knew it, — Qfwfq explained, — I mean, you could foretell it perhaps, but instinctively, by ear, guessing. I don't want to boast, but from the start I was willing to bet that there was going to be a universe, and I hit the nail on the head; on the question of its nature, too, I won plenty of bets, with old Dean (k)yK.
When we started betting there wasn't anything yet that might lead you to foresee anything, except for a few particles spinning around, some electrons scattered here and there at random, and protons all more or less on their own. I started feeling a bit strange, as if there was going to be a change of weather (in fact, it had grown slightly cold), and so I said: "You want to bet we're heading for atoms today?"
And Dean (k)yK said: "Oh, cut it out. Atoms! Nothing of the sort, and I'll bet anything you say."

The Dean answered: "Ix raised to en!"
He had no sooner finished saying this than around each proton its electron started whirling and buzzing. An enormous hydrogen cloud was condensing in space. "You see? Full of atoms!"
"Oh, if you call that stuff atoms!" (k)yK said; he had the bad habit of putting up an argument, instead of admitting he had lost a bet.


Earl was born in August of 2012 in Portland, making him 7 years old. He has two siblings, Dewie and Nelly, and he loves them very much. As a kitten Earl idolized bands like Smashing Pumpkins, The Police, Dinosaur Jr. and Stone Temple Pilots. Some of Earl's favorite foods are salmon, chicken, peanut butter, and grass specifically from the shady parts of my lawn.
Earl's Top 10 Favorite Movies
Work Experience


Open: You stopped working on a task.
In progress: You started to work on a task.
Done: You completed a task.
Do you want to update the task '' on Jira?
Move to:
Mark this as a default action for setting a task to
open
in progress
done.
This will be set then always, when a task is changed to
open
in progress
done. You can change this later in the project settings.


When we lived in California, we had few family sports we enjoyed. My wife and I would play tennis. The twins would play soccer. A few of us might play badminton out in the street between cars going by. But we rarely had family outdoor excursions, until I introduced my wife and kids to rock climbing.
I had picked-up rock climbing during my time as a missionary in France. We weren't normally allowed to do it because of the potential risks. But, we got special permission to do so with friends. We went to a long-abandoned granite mine West of the provençale town, Aix en Provence. I had no equipment. 'Just started climbing barefoot. That began my love of the sport.
In the early aughts, we had moved from Tallahassee, Florida to San Francisco, CA where I was working as an apprentice. I think it was the first spring break for my twin daughters. One of my friends invited us out to Castle Rock in the Santa Cruz mountains. I invested in some minimal equipment, just some harnesses for the kids and a couple "brain buckets", rope and some caribeeners.
They loved it! Well, that's not totally true. They were scared out of their minds at first, but they eventually had some competition between the two of them that lead to enjoyment.
Fast forward seven years to when we moved from San Francisco to Canada, rock climbing in gyms became our way to battle seasonal affective disorder during the long winters. More than anyone else in our family, Audrey took to it the most. At first it was the social aspect; being on a team, making new friends, developing ways for her father to praise her efforts. Then at a certain point, she set her mind to competing and emulating the great, contemporary female climbers like Sasha DiGiulian,
and Alex Puccio.
That was when my fatherly influence faded and her own ambitions took hold. I was grateful for this. I felt a failure in many respects because we had left San Francisco, the place she loved, and moved to a foreign country with new climate, new people, new langugage (I made her learn French) and new friends. All of that made her feel uncomfortable. But climbing, ironically, was something that gave her a "toe hold."
Currently, she is at the gym three nights a week, training and working on her skills. She also teaches rock climbing to young people who are eager to learn. It improves her social skills and at the same time, sharpens her rock-climbing abilities.
I'm very proud of her and I hope she is able to continue. More so, I hope that it improves her confidence in everything that she attempts in life; balance, strength, flexibility, endurance, planning and strategy.


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AIPlayer
Command
HumanPlayer
to game ICommand.getCondition()
is satisfied ICommand.getCondition()
Then executing the method
If in the collection of strategy has no a break command, the system will add it to user's strategy as last option PairsPlayerSpecification
IPlayer
Cell.getValue()
== PlayerState.EMPTY
IBoard.isWin()
is true or IBoard.isDraw()
is true IPlayer
wins


Specifying CSS

This is blue text

This is blue text
Internal - all style info is provided in the head section of the same HTML doc to be styled
``` <!DOCTYPE html>
This is a paragraph.
``` *
This is a paragraph.

<link rel="stylesheet" type="text/css" hrek="location"/>
in
materialStyle rules
tag {
property:value;
...
}

text red, place following in css file
h1 {
color: red
}
Basic font styling
font-family: font, alt font, ...
can accept many named fonts
color:
can be specified with color names (red
), hex code (#FF0000
), or rgb (rgb(255,0,0)
)font-size:
can be specified at pixels (60px
), relative to default browser size (1.5rem
), or relative to parent element size (0.75em
)
1rem
= 16px
20px
, a child element with size 0.5em
would have a font size of 10px
Class styling
class
that can be applied to specific sections of HTML
.className {
styleRule;
...
}
.header {
color: #ffffff
}

Text

```
* The resulting text will have color #ffffff
regardless of tag
Tag-specific class styling
<h1>
elements in a class to be red, while all other text is blueCan be achieved with:
<!-- CSS file -->
.example p {
color: red
}
<!-- HTML file-->
<div class="example">
<p>red text</p>
</div>
or
``` p.example { color: red }
red text
```
* .className tag {...}
will be applied to any instance of the specified tag that has a PARENT element with the specified className
* tag.className {...}
will be applied to any instance of the specified tag that ITSELF has the specified className
* This functions the same a simply .className {...}
with the exception that it can only be successfully applied to instances of the specified tag
Psuedo-class selectors
active
psuedo-class is a class that only applies to a class when it is actively clicked<style>
.ex p {color:red; position: relative}
.ex p:active {top:5px}
</style>
<div class="ex"><p>I move down when clicked</p></div>
I move down when clicked
* `position` sets whatever position <p> takes as relative, so that when a `top` position is applied to the active psuedo-class, it moves relative to its starting position
Backgrounds
background-image
can add an image as a background-imagebackground-size
determines how the image fills the background spacesID selectors
#
symbol in the css info
This text is really red
```
Page spacing
border: thickness pattern color
border: 5px solid #F00
padding: top right bottom left
padding: 20px
margin: top right bottom left
margin: 5rem
(notice distance from this line)Alignment
display: inline
allows sequential items to be placed horizontally
```
Default
Inline
```
Default
Inline
float
style places on object directly on top of whatever element it would otherwise follow
```
Default
Float
Inline
Float
```
Default
Float
Inline
Float
flex
layout allows for even distribution of items within a container
display: flex
in the parent items```
* The default setting is to distribute flex horizontally, but without further attributes, this can distribute elements off the pages
* The additional style `flex-wrap: wrap` will wrap any off page elements to the next row
* `justify-content: center` can align the wrapped flex elements to the center
* `align items:` can help to align differently shaped elements
* Options include `flex-start`, `flex-end`, `center`, `stretch`, `baseline`


Can you beat the dice?
Get a total score of 20 to win.
But roll 'one' and it's an automatic loss!
Click 'Roll' to start playing.
Good luck!
Player 1
Total score:
0
Roll


I'm a graduate student majoring in software engineering at Tongji University supervised by Dr. Yan Liu.
My research interests are mining software repositories with various techniques like information retrieval and natural language processing. The goal of my research is to improve the coding efficiency of developers.
Currently, I'm studying how graph neural networks could be used to improve the retrieval and recommendation system for developers. Besides, I'm looking for a PhD position in software engineering to advance my research further.
87su at tongji dot edu dot cn
School of Software Engineering
Tongji University
No.4800 Cao'An Highway, Jia Ding Campus
Shanghai
China
Tongji University (Sep 2018 - Expected Mar 2021,
Shanghai, China)
Tongji University (Sep 2014 – Jun 2018, Shanghai, China)
Deep Learning based Semantic Code Search
This project proposed a neural model for semantic code search. When the semantics of code (e.g., identifier names) are ambiguous, previous works need to relearn the structural information from lexical tokens of code, which is extremely difficult for a model without any domain knowledge. In contrast, Our model encodes both the semantics and structures of code, by representing code with AST paths. Our model significantly outperforms both DeepCS, the first approach that applies deep learning to code search task, and CARLCS, a state-of-the-art approach that bases on deep learning. The paper is currently under submission. [PDF]Requirement based Library Recommendation
This project identified a new perspective on library recommendation: recommending useful libraries given requirement descriptions of the software project. It helps to avoid some key problems in existing models including requirement insufficiently matching and cold-start problem. With deep learning (DL), it is practical for models to understand the requirements of projects. We proposed a DL model for library recommendation based on requirement descriptions. The experiment results show that the model can recommend libraries accurately with a SuccessRate@10 of 90.4%, which proves that this perspective has practical values. [PDF]Library Search using Dependency Graph
This project studies how to improve the library search with the dependency graph of libraries. Library search is important to developers, especially starters. The search results on Google are usually too noisy with unrelated texts. To identify the suitable libraries directly, we proposed a neural IR model with the dependency graph. The Graph-enhanced search has been successfully applied in fields like product search. The dependency graph of the library provides rich information on the usage of libraries, which helps the model to better understand the functions of the library.Smart Resource Allocation among Cities in Region
This project focused on resource allocation in a region using smart techniques. The goal of this project is to provide advice to policymakers for the regional development of innovation. We built a machine learning model with XGBoost to predict the innovation ability of cities based on their innovation-related statistics. With the prediction model, we used optimization algorithms like Simulated Annealing to find the optimal solution for resource allocation.


--- title: /home/ayonga/.dropboxes/business/Dropbox/research/dzopt/frost/matlab/utils/mathlink/check_var_exist.m File Reference layout: doxygen comments: false sidebar: doxygen_sidebar topnav: topnav tags: false ---
A wrapper function that checks if a variable has been assigned to a value in Mathematica. More...
Functions | |
| function logical status = | check_var_exist (char var) |
| A wrapper function that checks if a variable has been assigned to a value in Mathematica. More... | |
A wrapper function that checks if a variable has been assigned to a value in Mathematica.
A wrapper function that checks if a variable has been assigned to a value in Mathematica.
Copyright (c) 2016, AMBER Lab All right reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted only in compliance with the BSD 3-Clause license, see http://www.opensource.org/licenses/bsd-license.php
| var | a string or a cell string of the symbolic variable name |
| status | returns true if the variable exists and has been assigned a value, returns false otherwise. |


MatNN - An Neural Network Framework for MATLAB
MatNN is a MATLAB framework for neural network training and testing. It aims to provide the similarity of Caffe, and elastic workflow of MatConvNet.
This toolbox requires MatConvNet to be installed in your system and added to your MATLAB path.
Features
MatNN provides some features you may familiar with Caffe or other CNN tools: + Weight Sharing + Multiple Losses + Custom data sampling algorithm + Custom layer with custom parameters/weights/loss/... + Multiple GPUs support
License
MatNN is under the Simplified BSD License. If you use MatNN in your work, please refer to the this site MatNN.


Welcome to Mailcord
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Password
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Basic lrndesign-blockquote
Fame is a vapor, popularity an accident; the only earthly certainty is oblivion.
Basic lrndesign-blockquote demo (decorated)
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via
analysis of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Basic lrndesign-blockquote demo (background)
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via
analysis of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Basic lrndesign-blockquote demo (plain)
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via
analysis of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Basic lrndesign-blockquote demo (outset)
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via
analysis of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Shown relative to other paragraphs (normal)
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris eget leo nunc, nec tempus mi? Curabitur id nisl mi,
ut vulputate urna. Quisque porta facilisis tortor, vitae bibendum velit fringilla vitae! ut vulputate urna. Quisque
porta facilisis tortor, vitae bibendum velit fringilla vitae!
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris eget leo nunc, nec tempus mi? Curabitur id nisl mi,
ut vulputate urna. Quisque porta facilisis tortor, vitae bibendum velit fringilla vitae! ut vulputate urna. Quisque
porta facilisis tortor, vitae bibendum velit fringilla vitae!
Shown relative to other paragraphs (outset)
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris eget leo nunc, nec tempus mi? Curabitur id nisl mi,
ut vulputate urna. Quisque porta facilisis tortor, vitae bibendum velit fringilla vitae! ut vulputate urna. Quisque
porta facilisis tortor, vitae bibendum velit fringilla vitae!
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris eget leo nunc, nec tempus mi? Curabitur id nisl mi,
ut vulputate urna. Quisque porta facilisis tortor, vitae bibendum velit fringilla vitae! ut vulputate urna. Quisque
porta facilisis tortor, vitae bibendum velit fringilla vitae!
Leather
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Swoop
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Soft
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Poster
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.
Fun
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward
via analysis
of process.
Photo
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward
via analysis
of process.
HYPERCARD FTW
Disrupt, innovate out of your job. Pay everything forward. Collapse local inefficiencies. Pay forward via analysis
of process. Collapse larger inefficiencies... Collapse edge industries. Rinse, repeat in other areas.


Conditions prior preparation of the support and application
If the support or substrate fails to meet the necessary conditions, the microcement guarantees will not be applicable.
Pre-application Conditions
Cleaning.
The substrate should be clean and free from dust and grease.
Level or Flatness.
Micro-cement is applied in layers no greater than 1mm, and their total should not exceed four millimetres, thus issues of flatness cannot be resolved with this material, any irregularities of the support must be resolved prior to application. Micro-cement can be applied to floors, walls and even ceilings, and the final result will depend on the support and the skill of the applicator.
Consistency.
The base of the application must be stable. Those supports or substrates with powdery mortars or loose tiles are unsuitable. Depending on their condition, they will have to be removed or consolidated with fast-setting mortars with shrinkage compensation.
Free from Moisture.
If there is moisture in the support, Micro-cement should not be applied. First, it will be necessary to determine its origin in order to eliminate it. The use a humidity meter is highly recommended to guarantee that humidity never exceeds 5%.
The support or substrate must have undergone the hardening process sufficiently. The temperature and relative humidity of the environment must be taken into account, together with the ventilation of the work area, all of which affects the drying process of the mortars, and either accelerates or delays the hardening or setting process.
Protection of the work area
The work area must be protected adequately, together with those surfaces not to be treated, as Micro-cement sticks with great force and is difficult to clean when dried. Commonly used protection materials should be employed, such as painter's tapes, protective paper and plastic sheeting covering everything.
Recommended support in swimming pools
Microcement is applied on projected concrete or on sprayed concrete or shotcrete concrete, conditional to the support being clean, consolidated and in a good, level condition. Do not apply over glass mosaic.
Support or Substrate Preparation
The application of Micro-cement begins with priming the support using adhesion promoter and the placement of fiberglass mesh.
Primers with adhesion promoters
Adhesion promoters fulfil several functions: to ensure better adhesion on any type of support, to increase cohesion to it, to improve the application speed of the first coating of Micro-cement, and to prevent the premature loss of moisture from the micro-mortar.
The supports have different absorption capabilities, therefore various solutions should be used: promoters for non-absorbent surfaces, for absorbent surfaces, for surfaces that need some degree of consolidation, or promoters for surfaces that may have moisture problems.
Micro-cement over stoneware, terrazzo, hydraulic tile of marble.
In order to coat these types of substrates with little or no porosity, Primacem Plus must be used, a promoter for non-absorbent surfaces. The process will be as follows:
- Fill joints with Microbase and allow to dry for 24 hours. If the cracks/lines are very fine, Microdeck or even Microfino can be used.
- Apply a layer of Primacem PLUS using a roller along with the Builtex mesh
- Allow to dry for 24 hours, add one coat of Primacem PLUS and apply the second coat of
Microbase.
A different application system with Impoxi is seen here
Micro-cement over plaster, plasterboard and MDF panels
On absorbent substrates Primacem Abs should be used, following these steps:
- Apply the primer with a normal painter’s roller.
- Let the bonding take effect, for a minimum of 30 minutes and a maximum of 24 hours, before placing the mesh in position and adding the first coat of Micro-cement.
Micro-cement over cement mortar, projected concrete or on sprayed or shotcrete concrete
For absorbent surfaces that may require a degree of consolidation, the following procedure is required:
- Apply Acricem primer with a normal painter’s roller.
- Let the bonding take effect, for a minimum of 30 minutes and a maximum of 24 hours, before placing the mesh in position and adding the first coat of Micro-cement.
Micro-cement over substrates that may hold moisture
In consolidated substrates where moisture may appear, a barrier based on epoxy resins must be applied, in order to prevent moisture from affecting the Micro-cement. Impoxy solves the problems of humidity permitting the application of Micro-cement coatings to the support.
- Prime with Impoxy at 0.35 kg / m2 using a roller
- Sprinkle with dry silica sand of 0.3-0.8 mm at 1kg / m2
- Allow to dry for 24 hours
- Remove excess sand by sweeping and vacuuming
- Apply Impoxy using a trowel at 3 kg/m2
Installation of the mesh
Micro-cement Topciment does not crack, as long as the base upon which it has been placed also does not crack. Topciment mesh is an additional safeguard in Micro-cement applications, as it is a high- performance mesh, flexible, resistant and very easy to work with, it can easily be coated with Microbase, without making lumps. The mesh allows a decoupling of the coating application on the support.
Fixing the mesh:
The mesh can be fixed with Primacem Plus adhesion promoter, or when used as Primacem ABS promoter or Acricem resin, with the first coat of Microcemento Base. The mesh strips must be overlapped a bit and two coats of Microbase should always be applied in order to completely cover the framework.


My old mucker Max Décharné has sent an amusing list gleaned from his current reading matter, What The Censor Saw by John Trevelyan. The British Board of Film Classification has always been keen to protect the public from depictions of moral turpitude, and Max has helpfully noted the following examples of forbidden topics:
1913 — Indecorous dancing. Native customs in foreign lands abhorrent to British ideas.
1914 — Incidents injurious to the reputation of Govermental Departments. Unnecessary exhibitions of feminine underclothing. The effects of vitriol throwing. Stories tinctured with salacious wit. Sensual exposition of Eugenic Doctrines.
1919 — Criminal poisoning by dissemination of germs. Excessive revolver shooting. Animals gnawing men and children*. Clutching hands.
1925 — Libels on the British nursing profession. Bolshevik propaganda. Abdominal contortions in dancing.
1926 — Employee selling his wife to employer to cover defalcations. Severed human heads. Degrading exhibitions of animal passion. Indecent wall decorations. Dangerous mischief, easily imitated by children. Lecherous old men. Themes which are likely to wound the just susceptibilities of our Allies. Comic hanging. Breaking bottles on men's heads.
1931 — Marriages within the prohibitive degree. Girls' clothes pulled off. The Salvation Army shown in an unfavourable light.
* NOTE : Presumably scenes showing animals gnawing women were allowed, then.


--- layout: default published: true title: "Email Microservice - Auto Thank You - Rich Text" wireframe_url: https://www.lucidchart.com/publicSegments/view/f9d44517-2ff5-4025-87b8-c799c46f108d/image.png ---
Scenario: Some determinable business situation
Given some precondition
And some other precondition
When some action by the actor
And some other action
And yet another action
Then some testable outcome is achieved
And something else we can check happens too
Scenario: Some determinable business situation
Given some precondition
And some other precondition
When some action by the actor
And some other action
And yet another action
Then some testable outcome is achieved
And something else we can check happens too
Scenario: Some determinable business situation
Given some precondition
And some other precondition
When some action by the actor
And some other action
And yet another action
Then some testable outcome is achieved
And something else we can check happens too
Scenario: Some determinable business situation
Given some precondition
And some other precondition
When some action by the actor
And some other action
And yet another action
Then some testable outcome is achieved
And something else we can check happens too
Scenario: Some determinable business situation
Given some precondition
And some other precondition
When some action by the actor
And some other action
And yet another action
Then some testable outcome is achieved
And something else we can check happens too


|
<< Click to Display Table of Contents >> Navigation: »No topics above this level« Helping Clients with Cash |
Show Xero Trial Account - Invoice Export - PBI
1. Setup a Xero Trial Account by navigating to : https://www.xero.com
Click on Free Trial
Enter your information and Click Get Started
Open your inbox (outlook.office.com) and you'll see an invoice from The Xero Team
Click the Link provided.
Enter a password (choose pass@word1)
Click Try the Demo Company AU to have a play
Click on Invoices Owed to You
Click See All
Click Export
Click Save
Open PowerBI Desktop
Click Get Data
Choose CSV and Click Connect
Choose the file you just downloaded
Click Load
When the file has loaded, click Publish
Click Save to save changes
Call it XeroDemoCompany and click Save
Click Sign in
Choose KarenB and type the password pass@word1
Click Get Quick Insights
Click Sign In
When Quick Insights has loaded, you can quickly create a dashboard by pinning insights tiles to a new dashboard.
Pick a tile that interest you and hover on the top right. Click the Pin.
For the first one, click Pin to Dashboard and choose a new dashboard, for all others pin to an existing dashboard
Note: This will work for ANY software you can export from


---
layout: page
title: Publications
---
† These authors contributed equally to this work.
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The complete sequence of a human genome.
Nurk S, Koren S, Rhie A, Rautiainen M, Bzikadze AV, Mikheenko A, et al.
Science.
2022;376: 44–53.
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A complete reference genome improves analysis of human genetic variation.
Aganezov S†, Yan SM†, Soto DC†, Kirsche M†, Zarate S†, Avdeyev P, et al.
Science.
2022;376: eabl3533.
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Chasing perfection: validation and polishing strategies for telomere-to-telomere genome assemblies.
Mc Cartney AM, Shafin K, Alonge M, Bzikadze AV, Formenti G, Fungtammasan A, et al.
Nat Methods.
2022.
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Placental methylome reveals a 22q13.33 brain regulatory gene locus associated with autism.
Zhu Y, Gomez JA, Laufer BI, Mordaunt CE, Mouat JS, Soto DC, et al.
Genome Biol.
2022;23: 1–32.
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Plant ecological genomics at the limits of life in the Atacama Desert. Eshel G†, Araus V†, Undurraga S, Soto DC, Moraga C, Montecinos A, et al. Proc Natl Acad Sci. 2021. |
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Diverse molecular mechanisms contribute to differential expression of human duplicated genes. Shew CJ, Carmona-Mora P, Soto DC, Mastoras M, Roberts E, Rosas J, et al. Mol Biol Evol. 2021. |
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An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates. Mc Cartney AM, Mahmoud M, Jochum M, Agustinho DP, Zorman B, Al Khleifat A, et al. F1000Res. 2021. |
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Revealing hidden plant diversity in arid environments. Carrasco-Puga G, Díaz FP, Soto DC, Hernández-Castro C, Contreras-López O, Maldonado A, et al. Ecography. 2021. |


Grouping
Group your cards, talk through this process
- Use the blank cards to add or replace existing cards
- Which of these do you feel go togethor?
- Are any groups more important than others?
- Any cards you are unsure about - put aside
There are no right or wrong answers


Generalized Estimating Equations
A generalized estimating equation is an estimation procedure12 for dealing with clustered data, and is seemingly very popular in disciplines trained with a biostatistics perspective, but perhaps not too commonly used elsewhere. Models using this approach are sometimes called marginal models, and can be seen as follows, where the target \(y\) is multivariate normal with mean vector \(X\beta\) and covariance matrix \(\Sigma\), which is typically block diagonal as we created at the beginning13.
\[ y \sim \mathcal{N}(X\beta, \Sigma) \]
Here the focus is on the ‘population average’ effects, akin to ‘fixed’ effects in the RE model, and in some circumstances they are identical. In addition, one specifies the type of covariance structure thought to underlie the data. Among the more common are:
- independence: no correlation
- autoregressive: as described previously
- exchangeable: same correlation everywhere (aka ‘compound symmetry’ or ‘spherical’)
- unstructured: all possible correlations are estimated as parameters
And there are many others. The GEE approach is identical to RE intercept-only model approach if one conducts a linear Gaussian model, as in this case. In addition, these correlation structures are often available to mixed models tools, so this extension alone should not be a reason14 to use the GEE approach.
We’ll use the geepack package in order to conduct the gee approach to the model. We’ll specify an autoregressive correlation structure as we did with the mixed model, and as the data was in fact designed with.
library(geepack)
gee_mod = geeglm(y ~ time + treatment, data=d, corstr='ar1', id=id, waves=time)
| Estimate | Std.err | Wald | Pr(>|W|) | |
|---|---|---|---|---|
| (Intercept) | 0.127 | 0.03 | 17.7 | 0 |
| time | 0.507 | 0.009 | 3118 | 0 |
| treatmenttreatment | -0.413 | 0.041 | 101 | 0 |
| Residual Variance |
|---|
| 1.479 |
| Estimate | Std.err | |
|---|---|---|
| alpha | 0.757 | 0.007 |
We should be getting used to the coefficient estimates for the population-average, a.k.a. fixed effects, by now. We also obtain an estimate for the residual correlation, here noted as alpha.
Note the similarities here compared with the mixed model where there is only a random intercept. A couple of changes are made to keep things as similar as possible.
mixed_mod_ri_only = lme(y ~ time + treatment, data=d, random = ~1|id, cor=corAR1(form=~time),
control=lmeControl(opt='optim'), method='ML') # changed opt bc nlminb had issues
| Value | Std.Error | DF | t-value | p-value | |
|---|---|---|---|---|---|
| (Intercept) | 0.126 | 0.032 | 7499 | 3.92 | 0 |
| time | 0.507 | 0.008 | 7499 | 60.6 | 0 |
| treatmenttreatment | -0.412 | 0.042 | 2498 | -9.82 | 0 |
| Min | Q1 | Med | Q3 | Max |
|---|---|---|---|---|
| -3.847 | -0.6583 | 0.02588 | 0.6645 | 3.448 |
| Observations | Groups | Log-restricted-likelihood | |
|---|---|---|---|
| id | 10000 | 2500 | -12707 |
| Variance | StdDev |
|---|---|
| 0.003 | 0.051 |
| 1.504 | 1.227 |
| Phi |
|---|
| 0.7808 |
The population average effects are identical (though the geeglm function automatically does cluster robust standard errors). The estimated correlations for both are similar, and a bit high. There is essentially no cluster variance in the mixed model, and both estimated residual variances are similar, and similar to the standard linear model we started with. This makes sense as the variance is equal to the residual variance + the intercept variance + slope variance.
summary(lm_mod)$sigma^2 # similar to gee and random intercept only
[1] 1.479611
sum(as.numeric(VarCorr(mixed_mod)[,1])) # model that incorporates all sources of variance
[1] 1.306739
intsd^2 + timesd^2 + sigmasq # 'truth'
[1] 1.3125
GEE models are generally robust to misspecification of the covariance structure. They are rarely implemented for more than simple clustering but some tools allow for it15.
Pros
- Easy modeling of different correlation structures
- Focus on population level effects
- Extends the cluster robust approach to glm setting and other correlation structures16
- Robust to misspecification of correlation structure
- May be more feasible with larger data situations than mixed models
Cons
- Cluster-specific effects are not estimated
- Not easily extendable to other clustering situations, e.g. nested
- Missing data is assumed Missing Completely at Random (MCAR) (RE and FE assume MAR)
Gist: If your goal is to focus on population average effects and ignore subject specific effects, without the drawbacks of the FE model, this might be considered
Not a model! We’re just doing a GLM here.↩
The corresponding matrix formulation for the conditional model of the random effects approach is: \[ y \sim \mathcal{N}(X\beta + Z\Gamma, \Sigma) \] where \(Z\) is some subset of \(X\), and \(\Gamma\) contains the random effects.↩
lme4 is a very widely used mixed model package that does not allow the specification of a correlation structure for the residuals.↩
CSCAR director Kerby Shedden has worked on a Python implementation for nested structures as part of the statsmodels module.↩
Recall the note at the end of the cluster robust SE chapter.↩


The preferred way to define column metadata is not not define them (!) Squeryl has default mappings for all Java primitive types.
The preferred way to define column metadata is not not define them (!) Squeryl has default mappings for all Java primitive types. Scala/Java Int/int -> 4 byte number Long/long -> 8 byte number Float/float -> 4 byte floating point String -> varchar(256)
The default mappings can be overridden at the field/column level using the Column attribute, and they can also be overridden at the Schema level by overriding the method. For example, the following causes all string field in the schema to become varchars of length 64 :
override def columnTypeFor(fieldMetaData: FieldMetaData, databaseAdapter: DatabaseAdapter) = if(fieldMetaData.isStringType) return "varchar(64)" else super.columnTypeFor(fieldMetaData, databaseAdapter)


Global online database
Cannot find your studio, fill the form?
| Name of your studio/company/brand | Contact (Email Address) | Online Website Link | Do you provide any free online classes? |
|---|
Cannot find your studio, fill the form?
| Name of your studio/company/brand | Contact (Email Address) | Online Website Link | Do you provide any free online classes? |
|---|


There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.
| Version: | 1.0 |
| Depends: | R (≥ 3.2.3), vegan, ape, aSPU, cluster |
| Imports: | Rcpp (≥ 0.12.1) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | ade4 |
| Published: | 2016-03-18 |
| Author: | Chong Wu, Wei Pan |
| Maintainer: | Chong Wu <wuxx0845 at umn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | MiSPU results |
| Reference manual: | MiSPU.pdf |
| Package source: | MiSPU_1.0.tar.gz |
| Windows binaries: | r-devel: MiSPU_1.0.zip, r-release: MiSPU_1.0.zip, r-oldrel: MiSPU_1.0.zip |
| OS X binaries: | r-release: MiSPU_1.0.tgz, r-oldrel: MiSPU_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MiSPU to link to this page.


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Domain Adaptation
General
After establishing a working ML infrastructure for anaphora and coreference resolution on news texts we decided to also use it on a different domain. We chose a Sherlock Holmes novel from the Tiger/Salsa corpus (provided by the Saarland University) to evaluate and compare the results.
As this corpus follows another annotation style we first had to convert it into MMAX2 format. The routine to do so is included in ELAC.
Note that the following results are based on the single text mentioned above, which is considerabely shorter (7600 words approx.) than the corpora we used for general training/testing. However, results are still indicating the main differences.
Feature distribution
For a detailed comparison of feature distributions in the semeval corpus and the domain text please refer to the article Feature distribution.
Machine Learning results
To make domain adaptation comparable on a simple scale, we chose the best ACR system (BART) as a baseline against which the machine learning results are compared, as we did in our original ML approach.
Overall results (F-Score)
Although results for domain adaptation are considerably worse than the original ML results, both share the ML classified output located between average results and the baseline.
Recall
Recall results for domain adaptation are devastating, most time not even surpassing the average result of all three ACR systems. This most probably stems from the classifiers being provided with too much wrong data, eventually believing it to be true.
Precision
Precision results for domain adaptation are rather good, with all classifiers providing better than average results.
Comment
Due to the differences between the originally used news texts and the novel text which are very well reflected in the feature distribution, results for domain adaptation poor, as expected. While classifiers in most cases could not even lift the recall values above the average, precision values were acceptable, but still lacking the boost they provided in the original ML process.
But considering all the differences between the corpora mentioned above, values close to 40% still seem to be an acceptable result for our domain adaptation approach.
0 Comments.


Solving Phun-bos
If you’ve met me, you know I like space. The infinite nature of the universe, our smallness in comparison, the unending possibilities of discovery. You also know I like Rubik’s cubes. On a smaller scale, the cube is equally infinite. There are over 43 quintillion permutations of the 3x3 cube, a set of possible states far beyond what any human is capable of reaching in a thousand lifetimes.
So why not combine the two? Kenneth Brandon, a YouTuber/cuber under the handle RedKB, designed a custom cube by 3D printing his company’s logo with a hole in the middle just big enough for a 2x2 cube internally. This inspired me to create my own edition of a custom 3D printed cube.
Aim for the Moon
Step one is to select a planetary body as the basis for my model. I chose Phobos, the larger of Mars’ two moons. I had a few reasons for doing so.
- Any ordinary planet would be indistinguishable from another in a 3D print of this scale. All the other planets are basically spheres, so you would have few interesting features on the surface.
- Phobos has a massive crater named Stickney that is incredibly interesting in its own right. But for our purposes, it’s a unique feature that would be cool to render in a 3D model.
- My senior design team is currently designing a mission to Phobos. It’s a fascinating satellite that we don’t know a lot about and I’ve grown to love it.
- Phobos looks like a potato. Who doesn’t like potatoes?
Stickney is the massive cavity on the side of Phobos. Credit: Viking Project, JPL, NASA
Roll Model
The next step is to begin the modeling process.  Unfortunately, Phobos isn’t a 2D shape that can be easily extruded upwards from a sketch. However, there are many models already available for use! I found mine here. This website has many different models of Phobos with varying resolutions. I chose the lowest fidelity for a couple of reasons.
- I didn’t know how good the 3D printer I would use is. Having a hyper-accurate rendition of Phobos wouldn’t be useful if the printer couldn’t capture the resolution.
- The higher fidelity models nearly broke SOLIDWORKS, the modeling software I was using. There were simply too many individual features that couldn’t be efficiently rendered even on the virtual machine I was running the software on. This would have been fine if I just needed to run it once, save the file, and call it a day. But I needed to manipulate and cut the model, and every minor change would take several minutes to run. That compounded if I made a mistake and had to undo and redo everything.
I loaded up the Thomas model from the previously referenced link and this is what that looks like. I resized it to something I thought was reasonable and ended up with this.
Stickney Crater is visible on the right side of the body.
That’s nice, but that’s just a solid body. So I sketched a square and extruded it into a cube at the center of Phobos. Then I told SOLIDWORKS to subtract the cube from Phobos and just like that, I have a cube-shaped hole in the middle. The specifics of the size of the hole will depend on the model of 2x2 used in the center of the cube. I chose the Z Mini 2x2 Keychain Cube from The Cubicle. (This isn’t a sponsored post, I just like The Cubicle!) It had a few advantages. For one, it’s very cheap. Second, it’s very small - at 35mm to a side, it lets me print a slightly smaller puzzle. Remember, the actual size of the puzzle will be much larger than the 2x2 used in the center, so minimizing this will result in a more manageable size overall. Also, the keychain itself is removable, so I’ve got no concerns with that.
You can’t see this in the images above, but Phobos is split across the three planes in order to create 8 unique parts. Every part is slightly different on the outside, but that’s the beauty of it! Finally, we have to polish up each of the pieces. Long-time cubers will remember when every piece on the cube was square and blocky. This made them useless for cubing. So I went through each piece and rounded each corner that would interact with another piece.
This is a little tricky to do on corners in SOLIDWORKS, but I found this thread to be useful. In a nutshell, select all the edges leading to a given vertex, then select Fillet. Set the actual fillet to be something very small, almost nonexistent. Then set the Setback Parameter to be what you’d like the actual radius of curvature of the vertex to be. In my case, I used a fillet of 0.001 mm and a Setback Parameter of 3mm. Click the vertex to apply it to, then Set All, and save the fillet. That does it quite nicely. Repeat for all eight pieces, and you’re good to go!
Whaddya mean, we don’t know what the interior of Phobos is like? I’ve got it right here!
Finally, export every piece to an STL file and head to your nearest 3D printer!
Printing a Moon
This is the fun part. The Aerospace Engineering department at Georgia Tech has its own Aero Maker Space for student use, including 3D printers. I headed there, submitted my print, and that was that. By the next day, I had a beautiful print ready.
I should note that my filleted corners were underwhelming, to say the least. If I repeated the process, I would make my fillets much larger than 3mm. This may take some trial and error, but I’m satisfied for now. The 2x2 cube arrived a few days after the print, which meant I had everything I needed to assemble the puzzle. The cube doesn’t turn very well - understandable, given that it was built as a novelty keychain toy, not a speed cube. Loosening the tensions on the core helped, but it was still pretty rough. A friend provided some cube lubricant to help with the internal friction and I went back to the AE Maker Space in search of some super glue.
Putting the Pieces Together
Before I started gluing, I sanded each face of the cube down with some 220 grit sandpaper to help with adherence. Then a dot of glue went onto each face a given piece of the cube before applying the printed piece.
Five pieces glued, three to go.
And just like that, I was done!
We’re - ahem - phinished!
Since the pieces aren’t uniform, scrambling results in all kinds of strange shapes. For example, here’s what a Sune algorithm looks like:
Dayan TengYun M for scale
Phinal Thoughts
This was an enjoyable project. If I could have changed anything, it would have been to fillet the corners more. There’s still a lot of catching so you have to make sure each piece is lined up perfectly before you rotate. Of course, this is more of a decorative piece than a competition-worthy speed cube, so I’m not terribly disappointed by it.
All in all, this was a cool project to work on! And since Phobos is such a dark and gloomy name, I hereby christen my new puzzle “Phunbos”!
With my head in the stars,
Joshua


Overview of the Clinical Statement Package
The Clinical Statement Reference Model Pattern is a core CIMI pattern. It represents a statement made about a patient typically documented as an 'entry' in the patient record (see COMPOSITION pattern).
Clinical statements may either be 'indivisible' meaning that they can exist independently but cannot be further broken down into other independent statements.
Examples of indivisible statements include a hematocrit measurement or a complex medication order. 'Compound' clinical statements, on the hand, are collections
of related indivisible or compound clinical statements. Examples of compound clinical statements are panels (which may include other nested panels) and time series.
Clinical statements are composed of following primary components:
- The subject of the statement - generally the subject of the record but this may not always be the case. For instance, a clinical statement may describe a condition
affecting a relative of the patient as is the case in the documentation of family history.
- The clinical topic of the statement - for instance, is this statement about a surgical procedure or a medication-related activity. Alternatively, the statement may
describe the state of the patient.
- The context of the clinical statement - for instance, for procedure topics, did the procedure occur, was it planned, proposed, ordered, not performed, and so on.
If the statement describes a particular finding about the patient, was that finding observed or not observed in the patient? Was the patient at risk of some condition.
- Attribution information relating to the statement itself such as who authored, verified, recorded, or signed the statement.
The following diagram shows the clinical statement inheritance hierarchy which span the three reference model modules:


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I'm a pretty cool guy, and I'm also a geek!
I got mad skills!!
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|
PX4 Firmware
PX4 Autopilot Software http://px4.io
|
One TIme Programmable ( OTP ) Flash routine/s. More...
#include <unistd.h>
#include <stdint.h>
#include <stdio.h>
Go to the source code of this file.
Classes | |
| struct | flash_registers |
| struct | otp |
| struct | otp_lock |
| union | udid |
Macros | |
| #define | ADDR_OTP_START 0x1FFF7800 |
| #define | ADDR_OTP_LOCK_START 0x1FFF7A00 |
| #define | OTP_LOCK_LOCKED 0x00 |
| #define | OTP_LOCK_UNLOCKED 0xFF |
| #define | F_BUSY 1 |
| #define | F_ERROR_WRP 2 |
| #define | F_ERROR_PROGRAM 3 |
| #define | F_ERROR_OPERATION 4 |
| #define | F_COMPLETE 5 |
| #define | PERIPH_BASE ((unsigned long)0x40000000) |
| #define | AHB1PERIPH_BASE (PERIPH_BASE + 0x00020000) |
| #define | F_R_BASE (AHB1PERIPH_BASE + 0x3C00) |
| #define | FLASH ((flash_registers *) F_R_BASE) |
| #define | F_BSY ((unsigned long)0x00010000) |
| #define | F_OPERR ((unsigned long)0x00000002) |
| #define | F_WRPERR ((unsigned long)0x00000010) |
| #define | CR_PSIZE_MASK ((unsigned long)0xFFFFFCFF) |
| #define | F_PSIZE_WORD ((unsigned long)0x00000200) |
| #define | F_PSIZE_BYTE ((unsigned long)0x00000000) |
| #define | F_CR_PG ((unsigned long)0x00000001) |
| #define | F_CR_LOCK ((unsigned long)0x80000000) |
| #define | F_KEY1 ((unsigned long)0x45670123) |
| #define | F_KEY2 ((unsigned long)0xCDEF89AB) |
| #define | IS_F_ADDRESS(ADDRESS) ((((ADDRESS) >= 0x08000000) && ((ADDRESS) < 0x080FFFFF)) || (((ADDRESS) >= 0x1FFF7800) && ((ADDRESS) < 0x1FFF7A0F))) |
| #define | ADDR_F_SIZE 0x1FFF7A22 |
Functions | |
| __BEGIN_DECLS __EXPORT void | F_unlock (void) |
| __EXPORT void | F_lock (void) |
| __EXPORT int | val_read (void *dest, volatile const void *src, int bytes) |
| __EXPORT int | val_write (volatile void *dest, const void *src, int bytes) |
| __EXPORT int | write_otp (uint8_t id_type, uint32_t vid, uint32_t pid, char *signature) |
| __EXPORT int | lock_otp (void) |
| __EXPORT int | F_write_byte (unsigned long Address, uint8_t Data) |
| __EXPORT int | F_write_word (unsigned long Address, uint32_t Data) |
One TIme Programmable ( OTP ) Flash routine/s.
Definition in file otp.h.
| #define ADDR_OTP_LOCK_START 0x1FFF7A00 |
Definition at line 47 of file otp.h.
Referenced by lock_otp().
| #define ADDR_OTP_START 0x1FFF7800 |
Definition at line 46 of file otp.h.
Referenced by write_otp().
| #define AHB1PERIPH_BASE (PERIPH_BASE + 0x00020000) |
| #define CR_PSIZE_MASK ((unsigned long)0xFFFFFCFF) |
Definition at line 82 of file otp.h.
Referenced by F_write_byte().
| #define F_BSY ((unsigned long)0x00010000) |
Definition at line 79 of file otp.h.
Referenced by F_GetStatus().
| #define F_BUSY 1 |
Definition at line 59 of file otp.h.
Referenced by F_GetStatus(), and F_write_byte().
| #define F_COMPLETE 5 |
Definition at line 63 of file otp.h.
Referenced by F_GetStatus(), and F_write_byte().
| #define F_CR_LOCK ((unsigned long)0x80000000) |
Definition at line 86 of file otp.h.
Referenced by F_lock(), and F_unlock().
| #define F_CR_PG ((unsigned long)0x00000001) |
Definition at line 85 of file otp.h.
Referenced by F_write_byte().
| #define F_ERROR_OPERATION 4 |
Definition at line 62 of file otp.h.
Referenced by F_GetStatus().
| #define F_ERROR_PROGRAM 3 |
Definition at line 61 of file otp.h.
Referenced by F_GetStatus().
| #define F_ERROR_WRP 2 |
Definition at line 60 of file otp.h.
Referenced by F_GetStatus().
| #define F_KEY1 ((unsigned long)0x45670123) |
Definition at line 88 of file otp.h.
Referenced by F_unlock().
| #define F_KEY2 ((unsigned long)0xCDEF89AB) |
Definition at line 89 of file otp.h.
Referenced by F_unlock().
| #define F_OPERR ((unsigned long)0x00000002) |
Definition at line 80 of file otp.h.
Referenced by F_GetStatus().
| #define F_PSIZE_BYTE ((unsigned long)0x00000000) |
Definition at line 84 of file otp.h.
Referenced by F_write_byte().
| #define F_R_BASE (AHB1PERIPH_BASE + 0x3C00) |
| #define F_WRPERR ((unsigned long)0x00000010) |
Definition at line 81 of file otp.h.
Referenced by F_GetStatus().
| #define FLASH ((flash_registers *) F_R_BASE) |
Definition at line 77 of file otp.h.
Referenced by F_GetStatus(), F_lock(), F_unlock(), and F_write_byte().
| #define IS_F_ADDRESS | ( | ADDRESS | ) | ((((ADDRESS) >= 0x08000000) && ((ADDRESS) < 0x080FFFFF)) || (((ADDRESS) >= 0x1FFF7800) && ((ADDRESS) < 0x1FFF7A0F))) |
Definition at line 90 of file otp.h.
Referenced by F_write_byte().
| #define OTP_LOCK_LOCKED 0x00 |
Definition at line 49 of file otp.h.
Referenced by lock_otp().
| __EXPORT void F_lock | ( | void | ) |
| __BEGIN_DECLS __EXPORT void F_unlock | ( | void | ) |
| __EXPORT int F_write_byte | ( | unsigned long | Address, |
| uint8_t | Data | ||
| ) |
Definition at line 203 of file otp.c.
References CR_PSIZE_MASK, F_BUSY, F_COMPLETE, F_CR_PG, F_GetStatus(), F_PSIZE_BYTE, FLASH, IS_F_ADDRESS, and status.
Referenced by F_write_word(), lock_otp(), and write_otp().
| __EXPORT int F_write_word | ( | unsigned long | Address, |
| uint32_t | Data | ||
| ) |
Definition at line 188 of file otp.c.
References F_write_byte().
Referenced by write_otp().
| __EXPORT int lock_otp | ( | void | ) |
Definition at line 121 of file otp.c.
References ADDR_OTP_LOCK_START, F_write_byte(), and OTP_LOCK_LOCKED.
| __EXPORT int val_read | ( | void * | dest, |
| volatile const void * | src, | ||
| int | bytes | ||
| ) |
| __EXPORT int val_write | ( | volatile void * | dest, |
| const void * | src, | ||
| int | bytes | ||
| ) |
| __EXPORT int write_otp | ( | uint8_t | id_type, |
| uint32_t | vid, | ||
| uint32_t | pid, | ||
| char * | signature | ||
| ) |
Definition at line 71 of file otp.c.
References ADDR_OTP_START, F_write_byte(), F_write_word(), and warnx.


We load markers in (X,v⊥,v∥,α) coordinates according to a probability function P(X,v⊥,v∥) that is independent of α. Then (Xj,v⊥j,v∥j) can be evolved by using the guiding-center motion equation. But how does the gyro-angle α evolves with time? We do not have an equation for the time evolution of α. The evolution can be computed by using the local gyro-frequency if we want them. Do we need the gyro angle? Yes, we do. The gyro-angle α is needed in the inverse guiding-center transform when depositing particle weight to grid-points.
Assume that we load markers in (X,v⊥,v∥,α) with uniform random distribution in the gyro-angle. The gyro-angle of each marker evolves on a very fast time-scale and at later time the distribution in gyro-angle should be still uniform. There is no need to follow the time evolution of α of each marker because any set of random samplings of α are similar to each other in terms of evaluating Monte-Carlo integration.
Another way of understanding the four point gyro-averaging is that we do 4 separate sampling of the phase space and then average the each estimation to get a better estimation.
For a marker with coordinators (X,v⊥,v∥,α), where α is the gyro-angle, the corresponding particle position can be calculated by using the inverse guiding-center transformation (10). Then we can deposit the marker weight to grid-points in the same way that we do in conventional PIC simulations. Looping over all markers, we build the particle density at grids.
Compared with conventional PIC methods, where particle positions are directly sampled, what is the beneﬁt of sampling guiding-center positions and then transform them back to the particle positions? More computations are involved since we need to numerically perform the inverse guiding-center transformation. The answer lies in the important fact that the distribution function fg(X,v⊥,v∥,α) that needs to be numerically evolved in gyrokinetic simulation is actually independent of the gyro-angle α. Furthermore, we use a probability density function P that is independent of α to sample the 6D phase space (X,v⊥,v∥,α). Then the marker weight w ≡ fg∕(NpP) is independent of α, where Np is number of markers loaded.
Suppose we have a concrete sampling of fg in the 6D phase-space (X,v⊥,v∥,α), i.e., (Xj,v⊥j,v∥j,αj,wj) with j = 1,…,Np, then we can do the inverse guiding-center transform and then deposit particles to the grids to obtain a moment (e.g. density).
Since P𝒥rv, where 𝒥rv = 𝒥rv⊥ is the Jacobian of (X,v⊥,v∥,α), is independent of α, the sampling αj with j = 0,1,…,Np are uniform distributed random numbers. Therefore we can generate another sampling of α (denoted by αj′ with j = 1,…,Np) using random number generators and combine αj′ with the old sampling (Xj,v⊥j,v∥j) to obtain a new sampling (Xj,v⊥j,v∥j,αj′,wj′). The values of w at the new sampling points are equal to the original values, i.e., wj′ = wj since the particle weight w = fg∕(NpP) is independent of α. Using the new sampling and following the same procedures given above, we can estimate values of the moment at grid-points again, which will diﬀer from the estimation obtained using the old sampling. Taking the average of the two estimations will give a more accurate estimation.
Note that even if P𝒥rv is dependent on α due to the possible dependence of 𝒥rv on α, we still can easily generate a new set of sampling which diﬀers from the old sampling only in α, i.e., (Xj,v⊥j,v∥j,αj′). Speciﬁcally, in the rejection method, we use the old sampling (Xj,v⊥j,v∥j) for each reject step and only adjust α to satisfy the acceptance criteria.
The independence of P on α is the essential thing, because the combination (fg∕P) must be independent of α, where fg is already independent of α.
We can also construct a new sampling by replacing αj by αj + Δ, where Δ is a constant. Then the new sampling is given by (Xj,v⊥j,v∥j,αj + Δ,wj′) with j = 1,…,Np. Since the original sampling probability function P𝒥rv⊥ is independent of α, then (Xj,v⊥j,v∥j,αj + Δ) is still a consistent sampling that can be generated by the original probability function P𝒥rv⊥. Furthermore, since the particle weight w = fg∕(NpP) is independent of α, we infer that the values of w at the new sampling points are equal to the original values, i.e., wj′ = wj.
In doing the deposition, each marker has a single gyro-angle. Due to the independence of the weight (w = fg∕(NpP)) of the gyro-angle, the resolution over the gyro-angle can be increased in a way that there can be several gyro-angles for a single (Xj,v⊥j,v∥j). This gives the impression that the gyro-angle of a guiding-center marker is arbitrary. This is impression is incorrect. The correct understanding is that given above, i.e., we take several times of samplings and average the estimations resulting from each sampling.
In the code, the gyro-angle is deﬁned relative to the direction ∇ψ∕|∇ψ| at the guiding-center position. Speciﬁcally, the gyro-angle is deﬁned as the included angle between ∇ψ∕|∇ψ| and −v × e∥(x)∕Ω(x), where e∥(x)∕Ω(x) is approximated by the value at the guiding-center location.


Pro-democracy candidates advance in key Hong Kong elections 24 Nov 2019, 20:03 by Vincent Yu Vincent Yu


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Across the country
It's more than North Carolina.
This map shows states where anti-trans legislation has been introduced. This data is collected and updated regularly by the National Center for Transgender Equality.


Toolbar Custom Element automatically separates buttons in groups, which are specified by inserting separators ("|") in the tools definition.


About Me
I’m Erica, and I design and build user-friendly, mobile-responsive websites. I focus on web design and front-end web development. I have brought skills from my marketing and education backgrounds to my work in tech. In addition to practicing the fundamentals of web design and development, I am experienced in WordPress development, UX design, branding design, and visual design.
Although I was born and raised in Louisiana, I spend much of my time avoiding seafood. When I am not behind the laptop, you can find me cuddling a dog, sipping a cocktail, watching reality TV, listening to pop culture and true crime podcasts, or traveling around the world at EPCOT.


Metadata for ResourceID
Mets
Title
Subtitle
Author
Year
No of Pages
License
Identifier
Languages
language
Classifications
class
Genres
genre


sample = Sample()
sample.accession_code = "ABCD-1234"
sample.title = "hypoxia_Signal"
sample.organism = Organism.get_object_for_name("Homo sapiens")
sample.save()
sample_assoc = OriginalFileSampleAssociation()
sample_assoc.original_file = og_file
assoc1.save()
organism = Organism(name="HOMO_SAPIENS", taxonomy_id=9606, is_scientific_name=True)
organism.save()
sample = Sample()
sample.accession_code = "ABCD-1234"
sample.title = "hypoxia_Signal"


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|
avrSerial
1.0
Multi-UART Library for many AVR devices
|
Initializes all available UART Modules.Then prints a welcome message on each and waits for incoming characters, which will be repeated on the UART module they were received on.


Introduction
Welcome to the Lintol Documentation! You can use our documentation to reference the functionality that Lintol provides.
Lintol is a collection of components that work together to provide data validation and analytics services for open data. It was designed to work in conjunction with the CKAN platform.
Datasets that are uploaded to a CKAN instance can use the Lintol plugin to automatically run various validation processes on the data. This will improve the quality, speed and cost-effectiveness of data publishing. Lintol components are web-based and are configured and managed through websites within the Lintol framework.
Overview
Components
Lintol has a series of components that have been created using various technologies and programming languages. Distributed components connect via a central component named 'Capstone'. Here is a list of the components, the general function they provide and the technology or programming language used to create them.
- app.lintol.io & manage.lintol.io - Front-end UI - Javascript, Vue
- Crossbar.io - Publish/Subscription and messaging queue
- Doorstep - Data processing job management - python
- CKAN - Open dataset hosting platform - python
- Capstone - Coordinator API - PHP, Laravel
Components Diagram
Infrastructure
Components
The infrastructure for Lintol has a number of different components. Each of these components are hosted within a linux server environment. There are a numerous ways of hosting the linux environments required for Lintol. This documentation records and explains the infrastructure used by the Lintol development team.
- AWS EC2 - compute resources
- AWS Route 53 - DNS management
- AWS S3 - data storage
- Kubernetes - container cluster
- Traefik - routing and load balancing
Deployment
Tools
Deploying the Lintol infrastructure on the components referenced in the Components section requires a number of deployment and configuration tools.
- AWS CLI
- KubeCtl
- Kops
- Helm - prerequisites [Composer, Docker]
Infrastructure Diagram
Login and Sign up
There are two main approaches to getting started with Lintol. Lintol can be used as a standalone tool or as in conjunction with a plugin in a platform like CKAN. For both these approaches, Lintol must first be set up through the Lintol management portal.
app.lintol.io
app.lintol.io provides an interface to set up and configure Lintol and how it validates data. It is accessed via a web browser by entering the following url - http://app.lintol.io.
The first interface presented to the user is the login interface. The user has the following options:
Login
Enter the user's email address into the 'Email' field Enter the user's password into the 'Password' field Click on the 'Submit' button or press the Enter/Return key
Forgotten password
The user can click on 'Forgotten Password' to navigate to the 'Forgotten Password' form
Create a new user account
The user can click on 'sign up' to navigate to the user signup form. The user will be required to enter the following pieces of information. - Name - Organisation - Email - Password - Confirm Password The user will then be able to click on the 'Sign Up' button to create a Lintol user account.
Configuration and Administration
Licensing Lintol
Once a user account has been created, the user will need to create a license to use Lintol.
- An account is used by multiple people within Organisation
- Activate Licence based on domain
- Pay for Lintol Licence → Generate is Key
Logged In - No Domain (UI)
- Button appears at the top of header to tell them to add domain to activate
- Still have ability to browse “Data Profiles, Processors, Create”
- Once a domain is added any Processosors/Data Profiles will be connected to the domain
Logged In - Domain Added
- Still have ability to browse “Data Profiles, Processors, Create”
- Once a domain is added any Processosors/Data Profiles will be connected to the domain
Data Profiles
A data profile is an entity that's main purpose is to group together data processors by user preference. A user can create a data profile and then associate data processors with it. Assigning a profile to a data resource will run all the processors against the data resource.
Managing Data Profiles
A list of data profiles can be accessed by clicking on the 'Data Profiles' link in the main menu on the left hand side of the Lintol interface. Each data profile summarises the following information in the list:
- Name
- Description
- Author
- Created date
- Last updated date
- Version
- Unique reference
More details about an individual data profile can be viewed by clicking on [the data profile in the list].
Add a Data Profile
Adding a data profile can be started by clicking on the "Add a Data Profile" button on the top right off the data profiles page.
Data Processors
Data Processors are the entities that run the validation on the data. A data processor is handed to the job queue along with the data that is going to be validated. Each job then knows which data processor has to be used to validate the data.
Managing Data Processors
A list of data processors can be accessed by clicking on the 'Data Processors' link in the main menu on the left hand side of the Lintol interface. Each data processor summarises the following information in the list:
- Name
- Description
- Created date
- Last updated date
- Unique reference
- Implentations - number of times the processor has been added to a data profile
More details about an individual data processor can be viewed by clicking on [the data processor in the list].
Add a Data Processor
Adding a data processor can be started by clicking on the "Add a Data Processor" button on the top right off the data processors page.
- Sign Up to CKAN instance
Add a Data Set
- Choose the Data Profile (Limited to One)
- Setting Up
- Technical
- Enter the Lintol Key into CKAN
- Non-Technical
- Email Instruction to technical with Key
- Technical / Third Part
- Download/Install
- Add Lintol Key to the root config file for Lintol
- Save Config file
- Add Data Set
- Choose to Validate Dropdown Lintol Data Profile.
Add Lintol Extension to CKAN
You can install the extension on a CKAN instance as follows.
First, ensure you are working within your virtualenv (see prepare-extensions if you are not sure what this means):
. /home/ubuntu/pyenv/bin/activate
Install the extension package code using
pip
.pip install -E ~/var/srvc/ckan.net/pyenv git+https://github.com/lintol/ckan-plugin
The
-E
parameter is for your CKAN Python environment (e.g.~/var/srvc/ckan.net/pyenv
).The dependency you've installed will appear in the
src/
directory under your Python environment.Add the names of the plugin to the CKAN config file. You can find these in the plugin's
setup.py
file under[ckan.plugins]
.The config plugins variable is in the '[app:main]' section under 'ckan.plugins'. e.g.:
[app:main]
ckan.plugins = lintol
If your extension implements multiple different plugin interfaces, separate them with spaces:
ckan.plugins = lintol myplugin
If necessary, restart WSGI, which usually means restarting Apache:
sudo /etc/init.d/apache2 restart
Your extension should now be installed.
Contributing
We love pull requests from everyone. By participating in this project, you agree to abide by the lintol [code of conduct]. When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.
- Fork the repository
- Clone the repo - git clone https://github.com/your-username/lintol-frontend.git
- Push to your fork and submit a pull request.
At this point you're waiting on us. We like to at least comment on pull requests within three business days (and, typically, one business day). We may suggest some changes or improvements or alternatives.
Some things that will increase the chance that your pull request is accepted:
- Write tests.
- Follow our [style guide][style].
- Write a [good commit message][commit].
Contributor Code of Conduct
Our Pledge
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
Our Standards
Examples of behavior that contributes to creating a positive environment include:
- Using welcoming and inclusive language
- Being respectful of differing viewpoints and experiences
- Gracefully accepting constructive criticism
- Focusing on what is best for the community
- Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
- The use of sexualized language or imagery and unwelcome sexual attention or advances
- Trolling, insulting/derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or electronic address, without explicit permission
- Other conduct which could reasonably be considered inappropriate in a professional setting
Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
Scope
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.
Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at [INSERT EMAIL ADDRESS]. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
Attribution
This Code of Conduct is adapted from the Contributor Covenant, version 1.4, available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
Sample markdown
Subheader 1
Subheader 2
| Parameter | Default | Description |
|---|---|---|
| param | false | If set to true. |
code
* list
* list


Gradle is very powerful, use it for your every configuration and for dependencies of course.
Use manifestholder to have dynamic values in manifest
manifestPlaceholders = [appName: APP_NAME]
Use resValue to add resources dynamically
resValue "string", "RES_FOO", "RES FOO RELEASE"
Use applicationSuffix to change applicationId for different build types
applicationIdSuffix '.qa'
Use buildConfigField to add more values dynamically in order to have different values for different build types/flavors
buildConfigField 'String', 'ENDPOINT', '"YOUR_ENDPOINT"'
gradle


Method List
Search:
-
#city SimpleGeolocator::IPAPIResponse
-
#code SimpleGeolocator::IPAPIResponse::LOCATION_STRUCT
-
#country SimpleGeolocator::IPAPIResponse
-
#full_response SimpleGeolocator::IPAPIResponse
-
#get SimpleGeolocator
-
get SimpleGeolocator
-
#initialize SimpleGeolocator::IPAPIResponse
-
#isp SimpleGeolocator::IPAPIResponse
-
#ll SimpleGeolocator::IPAPIResponse
-
#mobile? SimpleGeolocator::IPAPIResponse
-
#name SimpleGeolocator::IPAPIResponse::LOCATION_STRUCT
-
#organization SimpleGeolocator::IPAPIResponse
-
#proxy? SimpleGeolocator::IPAPIResponse
-
#region SimpleGeolocator::IPAPIResponse
-
#successful? SimpleGeolocator::IPAPIResponse
-
#timezone SimpleGeolocator::IPAPIResponse
-
#zip SimpleGeolocator::IPAPIResponse


Free highly profitable algorithmic trading signals optimized for the cryptocurrency
market. Combining stochastic momentum oscillators with volatility indices
as well asRSI divergence to signal breakouts and trend reversals.
Due to our
success using this algorithm we want to share the signals with you. If there are more
people following specific strategies they are getting even stronger.
In the future we
want to enable automated trading for everybody until now join on Telegram signals.


| Dark.gob | weldarm.3do | welder arm |
| " | weldbase.3do | welder base |
| Sprites.gob | genexp.wax | welder arm exploding |
| Sounds.gob | ex-med1.voc | welder arm exploding sound |
| " | weld-1.voc | welder arm moving long distance |
| " | weld-2.voc | welder arm moving short distance |
| " | weldsht1.voc | welder arm hitting Kyle |
| " | weldhrt.voc | welder arm hurt |
| " | weld-die.voc | welder arm dying |


Location Capture
longitude:
not recording...
latitude:
not recording...
Capture Location
Stop Capture
Save to Cloudant


{{ 'PAGES.RESUME.TITLE' | translate }}
Summary:
- Over 10 years of experience in architecting, designing and development of robust web applications.
- Managed a team of six developers. Led a team of on-shore and off-shore developers.
- Architect Angular applications by using the latest and best available modules, deciding app structure, best practices & mock API’s.
- Excellent skills in modern Web Technologies like HTML5, CSS3, JavaScript ES6, Angular 2+, NGRX, ReactJS, Redux, Enzyme, Bootstrap, Jade, Sass, JAVA, JSP, PHP, Python, Apex, ASP.NET, Servlets and XML.
- Good understanding of cloud based applications and deployment on AWS and Azure.
- Architected multiple projects and interacted with business owners, managers & peers to ensure quality products.
- Ability to gather requirements from clients, provide LOE’s and successfully deliver the project.
- Expert in writing client-side JavaScript libraries like jQuery, Mootools, YUI & BackboneJS to develop dynamic websites.
- Hands-on experience in developing responsive web applications using various libraries.
- SME in mobile development and debugging issues on IOS and Android.
- Experienced with third party API’s like Google Maps, Microsoft Bing maps, Google Ad words, Adobe Analytics etc.
- Experienced with cross browser testing & fixing bugs on Firefox, IE, Chrome, Safari etc.
- Demonstrated ability to work on multiple platforms like Windows, UNIX or Mac.
- Provided 24X7 supports during production releases & defect resolution.
- Expert in managing specific tasks in deadlines while juggling immediate requests.
- Experienced as a team player and willing to share and learn new business concepts, technology and knowledge.
- Strong Oral and written communication skills as well as ability to work in a fast paced and rapidly evolving environment.
- Created multiple IOS and Android apps using Native SDK and Phone gap, Ionic for Angular.
Skills:
- Languages: HTML5, CSS3, JavaScript(ES6), Typescript, XML, AJAX, Visual Force, Apex, PHP, Python, Java, JSP, SQL, VB, VB.NET, ASP.NET, C, C++, Shell Scripting, Action Script
- JS libraries/frameworks: Angular, React, Redux, JQuery, JQuery mobile, Prototype, ExtJS, Mootools, YUI, BackboneJS, KnockoutJS, Sencha
- CSS libraries: PrimeNG, Angular Material, PureCss, Bootstrap, JQuery UI/mobile
- Cloud: AWS, Azure, OpenStack
- Software’s: Eclipse, Ant, Adobe Dreamweaver & Photoshop, phpMyAdmin, MS Office, MS Visio, CVS/SVN/GIT, Mercury, MS Sharepoint Server, Exceed, Telnet, Putty, Apache Tomcat, LAMP, Apache HTTP Server, NodeJS, Sublime, Atom, Webstorm, Visual Studio Code
- Operating Systems: Unix/Linux, Windows, Mac OSX
Experience:
-
Hexaware Technologies, Herndon VA | March 2017 – Current
-
Sprint Corporation, Reston VA | July 2012 – March 2017
-
Acumen Solutions, McLean VA | Mar 2011 – July 2012
-
TeleCommunications Systems, Annapolis MD | Feb 2009 - Mar 2011
-
Siemens Information System Limited, India | Feb 2006 – Aug 2006
Education:
-
Masters in Computer Science, New York Institute of Technology (NYIT), New York NY | 2008
-
Bachelor of Engineering (Computer Science), Lokmanya Tilak College of Engineering - University of Mumbai, India | 2005
Certifications
- AWS Certified Cloud Practitioner
- Microsoft Technology Associate (98-375) - HTML5 Application Development Fundamentals
- Microsoft Exam 480: Programming in HTML5 with JavaScript and CSS3
- Sun Certified Solaris Associate
- W3 schools: HTML/XHTML/CSS, JavaScript/HTML DOM, PHP/SQL
- GNIIT (India)


Table 1 - Data to be collected by PIRCS archive
(a) REFERENCE
|
Field |
||
|
Latitude of each point on the horizontal grid used to report model output |
||
|
Longitude of each point on the horizontal grid used to report model output |
||
|
The vertical levels used to report model output. |
||
|
Two-dimensional field giving the terrain height in meters above mean sea level. |
||
|
Two-dimensional field giving the land fraction of each grid cell. |
(b) THREE-HOURLY
Model output reported at 00,03,06 ..., 21 UTC. For fluxes, the output is a three-hour accumulation (e.g. output at 12 UTC is accumulated from 9 UTC- 12 UTC). For mass and temperature, output is the value at the reporting time. Values are reported on the horizontal grid of the participating model.
All fluxes are positive downward.
|
Field |
|||
|
Surface fluxes |
|||
|
incident solar (shortwave) radiation |
|||
|
reflected solar (shortwave) radiation |
|||
|
upward terrestrial (longwave) radiation |
|||
|
downward terrestrial (longwave) radiation |
|||
|
sensible heat flux |
|||
|
latent heat flux (evapotranspiration) |
|||
|
heat flux from the atmosphere into the model domain below the atmosphere |
|||
|
convective precipitation |
|||
|
stable precipitation |
|||
|
momentum flux into the ground: E-W component |
|||
|
momentum flux into the ground: N-S component |
|||
|
Top-of-atmosphere fluxes |
|||
|
net solar (shortwave) radiation |
|||
|
upward terrestrial (longwave) radiation |
|||
|
Mass |
|||
|
surface pressure |
|||
|
sea level pressure |
|||
|
precipitable water (water vapor only) |
|||
|
Temperature |
|||
|
surface air temperature (2 m level) |
|||
|
skin temperature |
(c) SIX-HOURLY
Atmospheric output sampled at 00, 06, 12, and 18 UTC. Output reported on the three-dimensional grid of the participating model.
|
Field |
|||
|
Temperature |
|||
|
Specific Humidity |
|||
|
Zonal (east-west) wind |
|||
|
Meridonal (north-south) wind |
|||
|
Geopotential height |
|||
|
Pressure |
(d) DAILY
Output reported on the horizontal grid of the participating model.
|
|
Field |
||
|
Air temperature at 2 meter elevation |
|||
|
Daily maximum (period: 00 UTC - 00 UTC) |
|||
|
Time of daily maximum |
|||
|
Daily minimum (period: 0 UTC - 0 UTC) |
|||
|
Time of daily minimum |
|||
|
Soil moisture |
|||
|
Total amount of water in the soil column at 12 UTC |
|||
|
Runoff |
|||
|
Accumulation over prior 24 hours (period: 0 UTC - 0 UTC) |


ROR Departmental Extension - Demo
This is a demonstration of a proposed extension of the ROR research organization
identifiers, to link institutions with their sub-units in any hierarchy,
whether or not the particular sub-unit has its own ROR identifier.
ROR Extension Examples:
ROR Wikidata Extension Examples:


{{extend 'layout.html'}}
Your location is created.
Next step is to create events for your locations. Events and locations may both be either real physical places and meetings or virtual if you just want to use as containers for questions and actions.
{{block right_sidebar}} {{include 'sidebar.html'}}


--- layout: default title: Media ---
State Tax Codes Can Help Mitigate Poverty and Impact of Federal Tax Cuts on Low- and Middle-Income Families
ITEP | Sept 20, 2018
Poverty Rate Gets Worse in West Virginia
WOWK | Sept 13, 2018
Time for West Virginia to Enact Earned Income Tax Credit
Herald-Dispatch | Aug 6, 2018
A State EITC Could Bring in Millions of Federal Dollars to WV
WV Center on Budget and Policy | June 22, 2018
Trends We’re Watching in 2018, Part 3: Improvements to Tax Credits for Workers and Families
ITEP | March 26, 2018
West Virginia Families Need Tax Break, Not Another Burden
Herald-Dispatch | Feb 11, 2018
Weighing in on an Earned Income Tax Credit
The State Journal | Feb 20, 2017
Lawmakers Begin Pushing for State Earned Income Tax Credit
West Virginia Public Broadcasting | Feb 23, 2017
EITC would put more money into the economy
Register Herald | Aug 8, 2016
An Idea for a Better Wheeling
Weelunk | Jul 30, 2016
Executive Director Ted Boettner discussing EITC with respect to WV's budget issues
West Virginia Public Broadcasting | Mar 29, 2016
Coverage of our Event with Richmond Federal Reserve and other partners
Charleston Gazette Mail | Jan 11, 2016


---
title: Why do we pay tax on plastic bags?
comments: true
tags:
- Humour
- Regulation
- Externalities
thumbnail: https://img.youtube.com/vi/xPphi3YES80/default.jpg
blogger_orig_url: http://stickmanscorral.blogspot.com/2012/03/why-do-we-pay-tax-on-plastic-bags.html
---
Because here's why:
Forget the environment. This flagrant disregard for personal space must end!


| Module | ActiveSupport::Deprecation |
| In: |
vendor/rails/activesupport/lib/active_support/deprecation.rb
|
| DEFAULT_BEHAVIORS | = | { 'test' => Proc.new { |message, callstack| $stderr.puts(message) | Choose the default warn behavior according to RAILS_ENV. Ignore deprecation warnings in production. |
| silenced | [W] |
# File vendor/rails/activesupport/lib/active_support/deprecation.rb, line 26 26: def default_behavior 27: if defined?(RAILS_ENV) 28: DEFAULT_BEHAVIORS[RAILS_ENV.to_s] 29: else 30: DEFAULT_BEHAVIORS['test'] 31: end 32: end
Silence deprecations for the duration of the provided block. For internal use only.
# File vendor/rails/activesupport/lib/active_support/deprecation.rb, line 42 42: def silence 43: old_silenced, @silenced = @silenced, true # We could have done behavior = nil... 44: yield 45: ensure 46: @silenced = old_silenced 47: end
Have deprecations been silenced?
# File vendor/rails/activesupport/lib/active_support/deprecation.rb, line 35 35: def silenced? 36: @silenced = false unless defined?(@silenced) 37: @silenced 38: end


| Field name | Text inserted |
| [IMAGELINK] | The URL to the newly uploaded image |
| [ALTTAG] | The ALT text that was entered on the Upload Image dialog |
| Field name | Text inserted |
| [ALBUM] | Album/CD title |
| [ARTIST] | Recording artist's name |
| [DURATION] | Duration of current song |
| [SONG] | Song title |
| Field name | Text inserted |
| <$MTEntryBody$> | The text from the Entry Body field |
| <$MTEntryCategory$> | The currently select primary category |
| <$MTEntryExcerpt$> | The text from the Excerpt field |
| <$MTEntryMore$> | The text from the Extended Entry field |
| <$MTEntryTitle$> | The title that is set in the Title field |
| Field name | Text inserted |
| [RSSDESCRIPTION] | The RSS' story description (if available) |
| [RSSLINK] | The RSS' story link |
| [RSSTITLE] | The RSS' story title |


{% assign today = "now" | date: "%Y-%m-%d" %} {% assign election = site.data.popolo-data.elections[include.election_id] %}


The Ox-PPP calculator provides free, gestational age-adjusted centile for platelets from 6 weeks of gestation onwards, which may be used to identify women who have, or are at risk of developing thrombocytopaenia at term.
The results and recommendations are derived from the study by Dockree, at al. (2021) [link TBC] and should only be used alongside local and national guidance.
This platelet result is on the th gestational age-adjusted centile.
The patient has a risk of developing clinically significant thrombocytopaenia at term (<100 x109/L).
We recommend further investigation and/or referral to specialist servicesconsidering further investigation and/or referral to specialist servicescontinuing routine antenatal monitoring.
Platelet centiles may be plotted on the graph attached to augment the diagnosis and/or monitoring of thrombocytopaenia in pregnancy.
Please cite the following paper in any publications that may result from using Ox-PPP: [citation TBC]
This calculator was developed by Chris Howell, he's amazing


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