Listed below are the key things I was involved with doing this week..
- Jquery Conference
- So I attended a Jquery conference in Oxford Kings Centre. There were lots of amazing talks on front-end web development (Videos available on http://jqueryuk.com/2015/videos.php )
- Divisional Meeting
- I was able to attend a divisional meeting that only occurs once a year. The last one was just before I started working for ISIS RAL. The meeting was very informative in regards to knowing more about what has been going on in the division (level up "department").
- Created Web Components
- This week I also worked on creating some of the components of the new web project the team is embarking on.. So an example component might be to create a carousel image slider that can be dynamically populated with images of any amount and from anywhere, etc.
Listed below are the key things I was involved with doing this week..
- Created More Web Components
- This week I created more components for the new web project the team is embarking on..
- Watched Tutorials On Using REST API To Interact with Sharepoint 2013 sites
- This week I also spent a number of hours learning about how REST API can be used to interact with Sharepoint sites, getting details about a library in sharepoint, getting the library contents (all via REST API URL / oData), and being able to use this information elsewhere on the Sharepoint site...
Listed below are the key things I was involved with doing this week..
- MockUp For Science Interaction Sites
- I spent time this week drawing mock-ups for the new set of Science Interaction sites the team will soon be embarking on building. These mock-ups were drawn so that they can be shown to each of the sites (P.S, there are more than 10 sites), and they can then say if they're satisfied with the design or if it needs to be updated with changes here and there.
- Sharepoint 2013 On Windows Server 2012 on Virtual Box
- This week, I took more time to do more with Sharepoint 2013. I took time to learn about how everything links together in order to be able to develop a Sharepoint solution. So I investigated creating Web Applications, Site Collections, sites, pages, Layouts, content types, columns, etc etc.
Also, due to the nature of how a page can be created by a user in Sharepoint, the typical (shorter route) to create a new page will not ask the user to select a layout (It just uses a default layout) - which isn't what we want in our team, we want the user to be able to select what layout they want...or for the system to at-least be smart enough to guess and use the appropriate layout based on the name that a new page is given. So I took more time to investigate this, firstly looking at how to change a default layout, and then looking at the possibility of using "Sharepoint Content Organiser", and rules and setting up Sharepoint Workflows...in order to be able to dynamically use an appropriate layout based on the naming of a new page.
- Supporter Of The Week
-
It turned out to be a busy of supporting the users of our software.
While I was on support, I Worked On An Application That Downloads a BLlob file From Oracle DB, renames it, and sends it to a Sharepoint library, and then update another Sharepoint list that has links that points to the appropriate file in the Sharepoint Library. While doing this, I was able to learn about what DB "Views" are, I also learn about why/when I should or shouldn't consider using them.
I also worked on some legacy Microsoft Access application (with its VB code) that wasn't doing what it was supposed to do only to discover that this was because the Assess application required the user to visit a certain sharepoint site/link that the application was looking to use, and it required the user to first visit the site using Internet Explorer, and provide authentication.
They also worked on debugging and solving some problems that were occurring on some of our live web applications.


Class BaseRecord
Not intended for use as a type, only to provide functionality to derived classes and to move as much as possible into C# rather than the Python generator.
Inheritance
BaseRecord
Inherited Members
Namespace: PKWARE.Smartcrypt.Protocol
Assembly: SmartcryptProtocol.dll
Syntax
public abstract class BaseRecord
Constructors
BaseRecord(JObject)
Declaration
protected BaseRecord([NotNull] JObject json)
Parameters
| Type | Name | Description |
|---|---|---|
| Newtonsoft.Json.Linq.JObject | json |
Fields
Json
Declaration
[NotNull]
protected readonly JObject Json
Field Value
| Type | Description |
|---|---|
| Newtonsoft.Json.Linq.JObject |
Methods
SetOrDelete(String, String)
Declaration
protected void SetOrDelete([NotNull] string name, [CanBeNull] string value)
Parameters
| Type | Name | Description |
|---|---|---|
| String | name | |
| String | value |
ToString()
Obeys all currently known business rules for serialization, and should only be used when producing new records.
Declaration
[NotNull]
public override string ToString()
Returns
| Type | Description |
|---|---|
| String | A serialized representation suitable for signing. |


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Interactive Data Applications Working with R Shiny
Interactive data applications with R Shiny
Instructors: Harrison Dekker and Tim Dennis
Schedule:
Morning 10-noon
- Getting Setup and Configured (Prior to workshop is preferred)
- Shiny Demos
- R and RStudio -
- DataViz and GGPLOT2 in R 4.


Pi
Written and Directed by Darren Aronofsky
Starring Sean Guilette, Mark Magolis, Benny Sheckman, Pamela Hart, Samai Shoaib
As Reviewed by James Brundage
"Personal Note: When I was a kid my mother told me not to stare into the sun, so when I was six, I did. The doctor's didn't know if my eyes would ever heal. I was scared, alone in that darkness, but slowly, light began to creep through the bandages. But something in me changed that day. That day I had my first headache."
Thus bgegins Darren Aronofsky's 1998 independent trek into the surreal Pi, an incredibly complex and ambigous film filled with both incredible style and subtance. To get an idea of the director in case you have never seen him before, imagine the cinematography originality of Jim Jarmush's Stranger than Paradise mixed with the perfect dialouge of Kevin Smith's Clerks and the bizarre and cryptic storyline of David Lynch's Eraserhead. Any surprise that all three of the aforementioned films are black and white? It shouldn't be. Pi uses an 8mm for the majority of its duration and film in a grainy black and white, giving the impression that you are watching a nightmare.
The first large challenge of reviewing this throughly intriguing movie is describing its plot. Max Cohen (Sean Guilette) is a brilliant number theorist. He has three assumptions about the universe, one of which is that all things have an underlying pattern, an order. The hypothesis that he creates out of this is that he can predict anything, given enough variables and knowing the underlying pattern. His place to test this hypothesis: the stock market. In his search for answers in the stock market, he discovers a 216-digit number that seems to be the key to it all: it predicts Black Monday. Jewish mystics (Ben Shenkman) believe it to be the real name of God. Market manipulators (Pamela Hart) believe it to be the key to a fortune.  Max is quickly launched into a world so paranoid it makes the Orwelian works of Andrew Niccol look safe.
Max is also plauged by headaches. These headaches, strong enough to force him unconscious at regular intervals, have him taking a cocktail of painkillers in order to subdue. As he creeps closer and closer to the answer, the headaches increase in their intensity.
I think the best way to interperet this massively cryptic film would be as a single man's search for peace. Through the movie, Max is gripped by a violent obsession with numbers and a complete phobia of social interaction. He constantly shuns the advances of his neighbor Devi (Samai Shoaib). He finds himself unable to take a break from anything and, as a consequence, finds himself inside of a complete nightmare. The only way to get away from this nightmare is to give up the one thing that has been his lifelong passion: numbers. The suspense of the film is helped along with an elecritc score by Clint Mansell, a soundtrack that keeps you on the edge with its razor-sharp notes. Also helping is the cinematographer Matthew Libatique, who gives us an infectious feeling of paranoia with the black and white film and the constant use of an unsteady camera to show the fast movement of Max.
The film, although making numerous references to number theory, is fairly easy to understand with no mathematical knowledge: not to say that it doesn't help to know how to add and subtract. What is difficult is to view this film without a mind seeking to be intrigued, because, if you don't want intrigue, you shouldn't be watching Pi.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Online?
Are we online? {{online}}Basic Counter example in Polymer
Extend a native HTML button, data flow to multiple places
Random Color picker
Vanilla JS
Initial state via React
Current background color:
Initial state via HTML attribute
This is another card.


Say good bye to your call bills, and start making free local calls.
NO Internet (Data Bundle / Wifi) required and NO Apps required to make calls. Its simple, follow instructions and call using your own phone.
Step 1
Request an invite code from us, then register using the received code.
Step 2
Watch short promotional Video and get free credits to your account.
Step 3
Dial our access number and use those free credits to make free local calls


Cinnamon Roll Waffles with Cream Cheese Icing.
Recipe
Seasonal Blueberry Icecream
Malteser Cheesecake


Settle
ettle is the debut studio album by English electronic music duo Disclosure.It was released on 31 May 2013 by PMR Records and Island Records, Mercury Prize Winners and worldwide recognition followed.
Get to know my favorite Disclosure Albums and listen them on Spotify.
ettle is the debut studio album by English electronic music duo Disclosure.It was released on 31 May 2013 by PMR Records and Island Records, Mercury Prize Winners and worldwide recognition followed.
On the follow-up to their massive 2013 hit Settle, the brothers Guy and Howard Lawrence have dialed down the BPMs significantly and turned toward slow-burning, R&B-inspired grooves.
Ecstasy is the first collection of music released by brothers Howard and Guy Lawrence since 2016’s. Earlier this month, the brothers teamed up with Khalid for his track “Know Your Worth.”


Josh is currently learning to code HTML, CSS and JavaScript
Check out what Josh loves to write code in
Thanks for visiting! Get in contact with Josh via Twitter: @Grapesey


--- layout: default ---
I’m a product designer based in Salt Lake City, Utah.
Depending on the time of year you might find me hiking or skiing in one of Utah’s beautiful mountain ranges, or exploring the deserts in Southern Utah.
A lot of my free time is devoted to reading, writing, and creatively expressing ideas. I occasionally post my writings on Medium, and I have a Youtube channel where I post essays about psychology, art, and film.


Containers versus Virtual Machines (VMs) relies upon work related objective. However, virtualization empowers remaining tasks at hand to keep running in situations that are isolated from their basic equipment by a layer of reflection. This reflection enables servers to be separated into VMs that can run distinctive working frameworks.
Container innovation offers an elective strategy for Virtualization, in which a solitary working framework on a host can run a wide range of users from the cloud. One approach to consider Containers versus VMs is that while VMs run a few distinctive working frameworks on one process hub, while containers offer the chance to virtualize the working framework itself.


China | Shanghai | SGH201 4F
Average / day
in curren month (excl. weekends)
Total
in current month
Visitor per hour
Date:
Show
Last 7 days
Export:
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Date
Number (In)
Number (Out)
Total
All stats graph
Date:


| 25155-23-1 | 4628 | C24H27O4P | 410.4425 | 6267 | 78082 | 26267 | 2765 | Trixylenyl phosphate, mixed isomers | Trixylenyl phosphate mixed isomers; Phenol, dimethyl-, phosphate (3:1); TXP | 25155-23-1 | primary | mixture or formulation | mixture of isomeric xylene phosphates; structure shown tris(3,5-dimethylphenyl) phosphate | representative isomer in mixture | C24H27O4P | 410.4425 | defined organic | parent | tris(3,5-dimethylphenyl) phosphate | Cc1cc(cc(C)c1)OP(=O)(Oc2cc(C)cc(C)c2)Oc3cc(C)cc(C)c3 | Cc1cc(cc(C)c1)OP(=O)(Oc2cc(C)cc(C)c2)Oc3cc(C)cc(C)c3 | 20080429 |


DDA not obligated to provide power to guardrooms: HC
Court pulls up Rohini RWA for filing plea
by Staff ReporterThe Delhi High Court has said that there is no legal obligation on the part of the Delhi Development Authority (DDA) to provide electricity or water to the guards engaged by Residents’ Welfare Associations (RWA).
A Bench of Chief Justice D.N. Patel and Justice C. Hari Shankar made the observation while dismissing a plea seeking direction to the DDA to ensure electricity connection, drinking water supply and toilet facilities at the guardrooms of Pockets 1, 3 and 4 of Sector-34, Rohini.
“It appears that facilities like electricity, water, toilet etc. are not available at the guardrooms of the colony of the petitioner, and the petitioner wants the facilities to be provided in the guard rooms,” the Bench noted.
“In fact, the RWA should have provided these facilities at the guardrooms instead of filing the petition,” it said.
“The guards belong to the RWA. If the residents of the colony are unable to provide electricity, water, toilet facilities to their own guards whom they have engaged, then they should not have engaged those guards,” the High Court remarked.
The Bench noted that the DDA has already provided 11 toilets for the guards apart from electric fittings and fixtures in the guardrooms.
“So far as supply of the electricity, water etc., the RWA of the colony should have provided these facilities to its own guards,” the Bench stated.
“In view of the above, there is no legal obligation on the part of the respondent (DDA) to provide electricity or water to the guards engaged by Residents’ Welfare Association of the colony,” the Bench concluded.


About me
My name is Christian Hiscock, I'm a freelance web developer from Maine. Languages I use are HTML, CSS, JS, Lua, and C#. This Website one of the many projects im working on, including a Discord Bot Munchiez. Feel free to donate to support the site here.


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Admin-o-matic
Tiles loaded:
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refresh
)
Or save as new:
Save
lights (<IP_ADDRESS>)


Dear members,
I hope you and your loved ones are healthy and safe as we confront so many crucial issues each day. One of our key battles is to save adjunct jobs and I am writing to share a letter to be used this week in our continuing campaign. It updates our last message that was sent to legislators about the layoffs at CUNY and asks them to sign on to a letter directed at the Chancellor and Bill Thompson (CUNY Board of Trustees chairperson). The letter makes the connection between the disinvestment in CUNY and the layoffs and cuts we are being threatened with. Please read the letter below.
We want as many members as possible to be at a press conference on Friday at noon to show these legislators that there are thousands of us who are watching and who appreciate and need their continued support. We will also be showing CUNY that we are not standing down and waiting until the end of the month. We will continue to resist mass layoffs and insist they make other choices. Last Friday we picketed CUNY HQ and held a simultaneous virtual action and this week we continue the fight with this mass press conference and webinar. Please register here: https://aft.zoom.us/webinar/register/WN_GlQ8uE6ET-m6dIvohpk4ow.
In solidarity,
Andrea Vásquez PSC First Vice President
P.S. Here is a link to upcoming campaign activities: https://www.psc-cuny.org/SaveLivesJobsCUNY
PSC SIGN-ON LETTER TO CUNY
June 12, 2020
William C. Thompson, Jr. Chairperson, Board of Trustees The City University of New York
Félix V. Matos Rodríguez Chancellor, The City University of New York 205 East 42nd Street New York, NY 10017
Dear Chairperson Thompson and Chancellor Matos Rodríguez:
We write as elected officials of New York City and New York State who strongly support The City University of New York. We want to express our concern about plans announced by CUNY colleges to lay off potentially thousands of adjunct faculty by June 30 and cut course offerings for the fall by as much as 35 percent.
This is the wrong time-morally, politically and fiscally-to cut CUNY. Millions of people around the world are rising up and rightly demanding an end to systemic racism. Among their demands is investment in the community resources that work against systemic racism and inequality. CUNY at its best is among the most important of those resources.
New York must not turn its back on CUNY now. We call on you, as leaders of the City University system, to be a voice against the destruction of CUNY. We ask you to defend CUNY at this critical moment in history, not find ways to dismantle it.
New York will need CUNY more than ever as we seek to rebuild the economy and create a more just world. The communities that have borne the greatest loss of life and employment during the pandemic are exactly the communities whose members rely on CUNY and who will turn to CUNY to rebuild their lives. New Yorkers from all parts of the city and surrounding region will need CUNY as they seek to gain new skills and earn college degrees. Reduced course offerings, fewer faculty and over-sized classes will leave CUNY under-prepared to support the students whose need for support is greatest. A strong and fully staffed CUNY is a unique and essential resource for New York's recovery and an essential part of addressing systemic racism.
While we are painfully aware of the budgetary crisis facing the City and State, we believe that the CUNY administration should pursue every alternative before even considering reducing course offerings and enacting mass layoffs. The CARES Act allocated more than $100 million to CUNY for institutional support during the crisis, with an explicit provision about keeping employees on payroll. To date, CUNY has made no announcement of how those funds are being used. The University should provide complete transparency about its proposal for and allocation of the CARES Act funds. Budgetary relief at the state and city level may also come in the form of additional stimulus money from Washington.
The layoff plans announced by several colleges would mean that thousands of adjunct faculty and other hourly employees would lose their jobs. Many of these faculty members have taught at CUNY for decades, enabling CUNY to keep colleges open despite shrinking public funding.
The damage done to CUNY by pre-emptive and hastily conceived budget cuts will not be easily undone. We call on you to rise to the demands of this unprecedented moment in New York's history and chart a new course that protects CUNY students, CUNY workers and the communities CUNY serves.


Written by Supakorn Laohasongkram on August 7th, 2014
To enumerate means to mention one by one. Thus, enumerable means: is able to be counted or go through one after the other. And what class in Ruby could you enumerate over? (tick tock) Yes, array and hash. These are collection classes which are enumerable. It might be easy to assume that each method in Ruby is ONLY made for one particular super class. (For example, ".reverse", which could only be used with a string.) But this isn't necessary true for Enumerable. The Enumerable method works with enumerable classes; thus, it does not work only with array; but also with hash. Simply put: Enumerable in Ruby is a set of methods made specifically for enumerable classes like array and hash. And Ruby provides a host methods to manipulate these collection.
Let's look at one enumerable method of ".map" and apply them on both array and hash. To see how and if they actually work.
.map
Using with a hash
hash = {:age => 10, :height => 170, :year => 1988}
def map_hash(enumerable)
print enumerable.map { |key,value| value*10 } # => [100, 1700, 19880]
end
map_hash(hash) # => {:age=>10, :height=>170, :year=>1988}
Using with an array
array = [1,55,66,700,-3,0]
def map_array(enumerable)
print enumerable.map { |i| i*10 }
# => [10, 550, 660, 7000, -30, 0] end
map_array(array)
p array # => [1,55,66,700,-3,0]
What is the different between .each and .map?
One point that I should mention is the difference between the ".map" method and the ".each" method. They both could iterate over an array; however with one difference. ".map!" can manipulate the array or hash as it iterates over each element. While ".each" does not. Below is the example of a ".each" method and how ".each" left the original array exactly the same. (non-destructive.)
Using .each on an array
array = [1,55,66,700,-3,0]
def each(array)
array.each do |i|
p i*10 # => 10, 550, 660, 7000, -30, 0
end
end
each(array) # => [1, 55, 66, 700, -3, 0]
Using .map! on an array
array = [1,55,66,700,-3,0]
def map_array(array)
print array.map! { |i| i*10 }
# => [10, 550, 660, 7000, -30, 0] end
map_array(array)
p array # => [10, 550, 660, 7000, -30, 0]
As the last reminder, Enumerable in Ruby is a class which one could go through one after the other. And Ruby has offer us a wide variety of methods to manipulate these Enumerable classes. And don't forget the Enumerable methods are not only used for array! they can also be used for hash as well! I hope this article help you better understand this concept in some ways!
Thanks for reading!


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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use Vector | |
|---|---|
| Maths | |
| Model | |
| View.Plots |
| Uses of Vector in Maths |
|---|
| Methods in Maths that return Vector | |
|---|---|
Vector |
Vector.add(double v)
adds a value from each entry in the vector |
Vector |
Vector.add(Vector v)
Adds a vector to this one. |
Vector |
Vector.copy()
Copies a vector |
Vector |
Vector.exp()
returns a vector where each value is e^v_n of the current vector |
Vector |
AbstractMatrix.mult(double[] x)
Multiplies a matrix with a vector (vector is represented by the array of real numbers). |
Vector |
BandMatrix.mult(Vector x)
Multiplies a matrix with a vector. |
Vector |
AbstractMatrix.mult(Vector x)
Multiplies a matrix with a vector. |
static Vector |
EquationSolver.solve(AbstractMatrix A,
Vector b,
EquationSolverAlgorithm algorithm)
Method to solve a system of linear equotations of the structure A * x = b. |
Vector |
Vector.subtract(double v)
subtracts a value from each entry in the vector |
Vector |
Vector.subtract(Vector v)
Subtracts a vector from this one. |
| Methods in Maths with parameters of type Vector | |
|---|---|
Vector |
Vector.add(Vector v)
Adds a vector to this one. |
Vector |
BandMatrix.mult(Vector x)
Multiplies a matrix with a vector. |
Vector |
AbstractMatrix.mult(Vector x)
Multiplies a matrix with a vector. |
static Vector |
EquationSolver.solve(AbstractMatrix A,
Vector b,
EquationSolverAlgorithm algorithm)
Method to solve a system of linear equotations of the structure A * x = b. |
Vector |
Vector.subtract(Vector v)
Subtracts a vector from this one. |
| Constructors in Maths with parameters of type Vector | |
|---|---|
EquationSolverException(java.lang.String s,
AbstractMatrix m,
Vector b)
|
| Uses of Vector in Model |
|---|
| Methods in Model that return Vector | |
|---|---|
Vector |
HDRResult.getE()
returns radiance map. |
Vector |
HDRResult.getG()
returns the camera response curve |
| Constructors in Model with parameters of type Vector | |
|---|---|
HDRResult(Vector E,
Vector g,
int width,
int height)
Default constructor |
| Uses of Vector in View.Plots |
|---|
| Constructors in View.Plots with parameters of type Vector | |
|---|---|
ScatterPlot(Vector y)
Generates a scatter plot with pairs of points (i, y[i]) |
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Preparation time
over 2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 6
A sweet and moist classic sponge pudding served with basil ice cream and raspberry coulis.
For the basil ice cream, in a food processor blend the sugar and basil until the basil is incorporated and you have bright green sugar granules. Transfer to a mixing bowl, add the egg yolks and whisk until thick and airy.
In a pan set over a low heat, gently warm the milk then slowly pour it into the egg yolk and sugar mix, stirring continuously. Pour the mix back into the pan and heat gently stirring all the time until it is thick enough to coat the back of a spoon. Sieve into a clean bowl and set aside to cool completely.
Whisk the cream until soft peaks form, then add the crème de framboise liqueur. Fold the cream into the cooled custard mixture and pour into an ice cream maker. Churn according to manufacturer’s instructions. (If you don’t have an ice cream maker, pour the mixture into a 1.5 litre tub, cover and place in the freezer. After one hour remove and whisk quickly, before placing into the freezer for another hour. Repeat this process for up to 5 hours until the ice cream has set and has an even texture without any ice crystals.)
For the sponge puddings, preheat the oven to 200C/400F/Gas 6 and grease six non-stick pudding molds.
In a large mixing bowl whisk the sugars and butter until pale and fluffy. Add one egg and a third of the flour and mix until combined. Repeat until all the eggs and flour are incorporated. Fold in the vanilla extract, along with the raspberries and white chocolate chips. Divide the mix equally between the molds, ensuring that each mold is no more than two thirds full. Cover each mold with a piece of greased tin foil and place into a baking tray with deep sides.
Half fill the baking tray with boiling water (so that it comes halfway up the pudding molds). Then cover the baking tray with foil (to keep all the steam in). Place in the oven for 25-30 minutes.
For the raspberry coulis, in a food processor, blend the frozen raspberries, crème de framboise and icing sugar to a liquid. Pour into a freezable container and store in the freezer until ready to serve.
To serve, turn out the puddings onto the serving plates, drizzle over the raspberry coulis and add a scoop of basil ice cream.


|
Embedded Artistry Framework
Embedded Systems C++ Framework
|
Directories | |
| directory | internal |
Files | |
| file | active_i2c.hpp |
| file | active_spi.hpp |
| file | basic_display.hpp |
| file | clock.hpp |
| file | communication_bus.hpp |
| file | driver.hpp |
| file | driver_base.cpp |
| file | driver_registry.hpp |
| file | driver_type.hpp |
| file | gpio.hpp |
| file | hal_driver.hpp |
| file | i2c.hpp |
| file | led.hpp |
| file | spi.hpp |
| file | system_clock.hpp |
| file | time_of_flight.hpp |
| file | timer.hpp |


| 10 Semana Crescent | |
| Vancouver, BC, Canada | Tel: +1<PHONE_NUMBER> |
| V6N 2E2 |
MSc, Bioinformatics; University of British Columbia (Vancouver, Canada)
Thesis title: Bioinformatics of neuron electrophysiology: exploring systematic sources of study-to-study variability by large-scale literature text-mining.
MSc Student at UBC Michael Smith Laboratories - Supervisor: Dr. Paul Pavlidis
23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology: Tebaykin, D., Tripathy, S.J., Li, B., Abdollahzadeh, D., Anderson, K., Pavlidis, P. Application of large-scale text-mining and curation for extracting neuronal electrophysiology data [v1; not peer reviewed]. F1000Research 2015, 4(ISCB Comm J):426 (poster) (doi: 10.7490/f1000research.1110179.1)
9th Annual Canadian Association for Neuroscience Conference: Tebaykin, D., Tripathy, S.J., Pavlidis, P. (2015) Identifying sources of study-to-study variability in neuronal electrophysiology data.
Organization of Computational Neurosciences Conference 2015: Tripathy, S.J., Tebaykin, D., Li, B., Mancarci, O., Toker, L., and Pavlidis, P. (2015). Large-scale analysis of brain-wide electrophysiological diversity reveals novel characterization of mammalian neuron types. BMC Neurosci 16, O4.
(Preparing) Tebaykin, D., Pavlidis, P., Tripathy S.J. Exploring the confounding influences of electrophysiological study-to-study variability by large-scale literature text-mining.
(Preparing) Tripathy, S.J., Li, B., Tebaykin, D., Pavlidis, P. Updates to the NeuroElectro.org database and web interface.
(Preparing) Tripathy, S.J., Mancarci, O., Toker, L., Tebaykin, D., Li, B., Pavlidis, P. Transcriptomic correlates of brain-wide electrophysiological diversity.
NeuroElectro: An online database of electrophysiology data extracted from neuroscience articles. Available at (neuroelectro.org). Role: co-developer


What are the problems we face today and therefore what questions need to be answered to drive Organic search
- How do we define and measure ”Organic Demand” or “Demand Expressions”
- What are Demand Expressions?
- How does it align to our key KPI – App Organic MAUs?
- How do we understand what was the impact of just Content Pull Factor on Demand Expressions?
- How do we understand which marketing channels are contributing how much to increasing “Demand Expressions”?
- How do we adjust budgets across channels (media mix modelling) to maximize Organic Demand?
- How do we optimize within each channel to understand campaign/ creative level impact and therefore improve performance?
- How will this work in practice?
Step followed to answer the questions
- Define Demand Expression
- Organic Search intent demonstrated by users for our brand
- Establish Statistical Relationship between Demand Expression and App Organic MAU’s
- What percentage of installs can be explained by the demand expressions
- Establish the model of attributing activity impact on Demand Expression
- What percentage of the demand expressions can be explained by inorganic spends
- Establish the model to measure cost effectiveness of campaign activity
- Getting Spends/users for each offline campaign
- Establish campaign level analytics to help channels optimize on an ongoing basis
- Deep diving into each campaign to increase the performance of each campaign
Steps Taken:
Step 1: Establish Statistical Relationship between Demand expression & App Organic MAU’s
- For installs: Derive total installs that have happened from the system, removing likely fraud installs
- For search impressions:
- Got overall number from keyword planner
- Got pattern from the google trends for the brand keyword
- Found the multiplier and used that multiplier on the trends number to get the daily level search impressions for all countries
- Removed outliers from the data
- Normalized and smoothen the data
- Run linear regression model
Output:
As Demand Expressions go up, Organic App MAUs goes up
X% of the variation in Installs is explained by demand expression
Step 2: Establish the model of attributing Activity impact on Demand Expression
Establish Statistical Relationship between Demand expression and in-organic spend (Baseline)
Steps Taken:
- For in-organic spend: Got in-organic daily channel level spend from the in-organic team
- For Demand Expressions: Used the same demand expression numbers as used in Step1, explained earlier
- Got overall number from keyword planner
- Got pattern from the google trends for the brand keyword
- Found the multiplier and used that multiplier on the trends number to get the daily level search impressions for each countries
- Removed outliers from the data
- Ran daily level linear regression model on the in-organic spend versus demand expression
Output: As in-organic spend go up, Demand expression goes up
X% of the variation in Demand Expression is explained
Step 3: Establish the model to measure cost effectiveness of campaign activity
Measuring cost effectiveness of campaign activity
Definitions:
- Current Spend: Total marketing budget spend on running this campaign
- Demand Expressions Start/End: Total Demand Expression of brand keyword at the start or end of running this campaign
- In-organic spend Start/End: in-organic spend at the start or end of running this campaign
- In-organic spend Uplift: Change in InOrganic spend while running this campaign
- Demand Expressions Uplift (in-organic): Uplift in Demand Expression of brand keyword because of change in in-organic spend
- Demand Expressions (removing baseline): Uplift in Demand Expression of brand keyword after removing InOrganic Spend impact
- MAU's Uplift: Uplift in App Organic MAU's by running this campaign
- Spend/MAU: Spend for getting each app organic MAU
- Target Spend/MAU: Target spend for getting each app organic MAU
- New proposed spend: Proposed optimised marketing spend on each campaign to get best allocation of budget
Output:
Optimised marketing budget (New Proposed Spend) based on:
- Current Spending
- Increase in demand expression based on current spending
- Change in InOrganic Spending
- Impact on Demand Expressions because of change in InOrganic Spending
- Removing the impact of InOrganic spend on Demand Expressions
- Increase in MAU’s because of running this campaign
- Target Cost per MAU for the industry
New Proposed optimized Organic budget planned
Final intermediate output might look something like this:
- 7th Oct: Teaser was launched
- 9th Oct: TV started campaigning and have a sudden impact on demand impressions
- 12th Oct: First peak because of ATL push
- 13th Oct: Road side banner started
- 14th Oct: Content was launched
- 16th Oct: TV channel campaigning started again
- 20th Oct: Radio (radiocity) started running its campaigns
- 24th Oct: Radio (BigFM) started running its campaigns
- 27th Oct: Print ads started running its campaigns


Definition
Average seasonal Crop (Corn) Heat Units (CHU)
Method of calculation
CHUnormal values are calculated from average daily maximum and minimum air temperatures as described by Brown and Bootsma (1993), and accumulated from Start_CHU to GDD2Stop (the average date of first fall frost (0ºC) estimated by the program as described in Appendix 2).
The GDD2Stop date corresponds closely to the date determined by ‘Stop_CHU’, and eliminates the need for determining accurate threshold temperatures for ending CHU accumulations for each region since it is calculated from the normals data.


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On the first full day this page went live, 100,000 people visited this Rotten
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every day.
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Make Dailyrotten your start page
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March 06, 2002
Shanghai Zoo going all soft
China Daily | Submitted by: superduperabdul
"A Shanghai zoo is updating information boards outside cages and pens to
replace phrases like 'Meat is edible', 'Fur can be used' and 'Evil animal'
with cuddlier ones such as 'Please be nice to me'... 'We hope in this way
more visitors will look at the animals with tenderness and affection, not
as if they were merely resources for human use', said zoo official Tang
Jirong, who is in charge of the revamp."
|
|
Read article...
|
|
Pastor and daughter dissolve family in chemicals
online.ie | Submitted by: anonymous
Murder tips courtesy of Ireland: "A pastor and his daughter have been
found guilty by a Belgian court of killing half a dozen family members
and dissolving the corpses in chemical drain cleaner... During the trial,
medical experts had showed the jury photographic evidence of how
effective the Cleanest drain cleaner could be. Using the corpse of a man
who had donated his body to science, experts showed it could be dissolved
into a thick, foamy sludge about nine hours."
|
|
Read article...
|
|
Sheep cull man accidentally culled man
Times | Submitted by: tjd
"Christopher Taylor, a vet at the scene, said that there was no bad blood
between the two men. 'Mr Smart made a jokey comment to Mr Hubbard',
Mr Taylor said. 'Mr Hubbard, in a father-son situation, wrestled and put his
arms round him. They were mucking about. Mr Hubbard put the gun to the left
hand side of his head and I remember thinking 'thatís not a good idea'."
|
|
Read article...
|
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Who damaged grandmother?
Philadelphia Inquirer | Submitted by: JuTravler
"Mafalda Graci died peacefully in her sleep at Thomas Jefferson University
Hospital, so relatives were horrified when she arrived at the funeral home
with deep gashes on her face that made it look as if she had been severely
beaten... Relative Kathleen Clery, 51, said the family was unaware of Graci's
maiming until an undertaker at the Donohue Funeral Home in Downingtown
suggested that the family might want to reconsider its wish to have
an open-casket funeral."
|
|
Read article...
|
|
Looters trade priceless artifact for stereo
The Scotsman | Submitted by: sl0ppy
"Two amateur treasure hunters who sold bronze age artefacts found on a
mountainside to buy a stereo system have stumbled upon one of the greatest
archaeological finds in history, writes Allan Hall in Berlin...
This shows Europeans had a rudimentary knowledge of the solar system and its
influence on our lives far earlier than previously thought. Harald Meller,
an archaeologist, said: 'This ranks as one of the 20 most important finds of
all time, up there with the tomb of Tutankhamun and the discovery of
Otzi the iceman in the Alps.'"
|
|
Read article...
|
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Elderly driver drags victim for kilometer
Canadian Broadcasting | Submitted by: Zonkey
"Kidnie, 42, was crossing an intersection when she was hit by Hicks and
dragged for almost a kilometre. The [84 years young] senior did not see when
Kidnie slapped her hands on the hood of the car, nor did Hicks see Kidnie's
body on the driveway after the car was parked. She was later convicted of
criminal negligence causing death." Oopsie.
|
|
Read article...
|
|
The Library of Congress run by thieves
Los Angeles Times | Submitted by: JaeComan
Federal officials seized (pages of a book written by Ayn Rand) after Lenoard
Peikoff joked that he "stole" them from the Library of Congress. Peikoff, a
writer and philosopher, was a lifelong friend of Rand... and the heir to her
works. "Ayn Rand, I feel sure, would have said: 'The whole case is another
outrage by looting bureaucrats so drunk with power that they must possess and
flaunt even the very pages in which I have denounced them,'" Peikoff said.
|
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Read article...
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Necrophiliac draws stiff sentence
Associated Press | Submitted by: Broux
"A former pathology lab employee was sentenced to 1 1/2 years in prison for
photographing and fondling the corpse of a teenage girl... John Camden
Bibbee, 39, of Sierra Vista, a former employee of United Pathology Laboratory,
pleaded guilty last month to a charge of attempted necrophilia."
|
|
Read article...
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Bush Adminstration Dumbfounded Over Iraq
New Yorker | Submitted by: Walker LeRocque
Right-wing hawks in the Defense Department, supported by the Bush
Administration, are conducting a massive media mudslinging campaign
against the State Department's alledged left-wing wimpiness over
The Iraqi Dilemma. Seymour Hersh's eye-popping expose on the Cabinet's
internal strife, and subesquent inability to compose a solution to
Saddam, will show that Bush II is not in complete control of the
White House; that America's absurb fascination with Israel is potentially
deadly, and that the mainstream media refuses to deal with these
Real Stories. Best you drop the remote Amerika and learn how to read.
Res Ipsa Loquitor.
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Read article...
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The third generation of computers is the intergrated circuits. This is where the computers really started to become faster, efficient and more usable. Transistors were placed on silicon chips which are now called semi-conducters. The input and and output also changed. Keyboards were being used as input and monitors were being used as output. These computing systems had an actual operating system from which the keyboard and monitor interface with.
These computers can use multiple applications at once and has a central programs which would monitor the memory of the computer. These computers have became more accesible to the public due to the size and the price of the computer.


A list of Clickatell APIs and sample code
As a global leader in mobile messaging, we have long-standing partnerships with over 1,000 carriers in 224 territories and countries. This allows us to proactively manage your message delivery by selecting highest quality routes available at the time of sending. Over 15,000 leading brands — from international companies to visionary individuals — use Clickatell to send messages to a potential audience of more than six billion customers.
You’ll find that we’re incredibly easy to do business with – and you can talk to us 24/7 every day of the year. We make sure we’re finely tuned in to your needs because we know you need a company flexible enough to grow with you.
We’ve prepared sample code in a number of different programming languages that anyone can use to get started.


rgb3toppm(1) rgb3toppm(1) NAME rgb3toppm - combine three portable graymaps into one portable pixmap SYNOPSIS rgb3toppm redpgmfile greenpgmfile bluepgmfile DESCRIPTION Reads three portable graymaps as input. Combines them and produces one portable pixmap as output. SEE ALSO ppmtorgb3(1), pgmtoppm(1), ppmtopgm(1), ppm(5), pgm(5) AUTHOR Copyright (C) 1991 by Jef Poskanzer. 15 February 1990 rgb3toppm(1)


Nickelodeon teams up with Netflix in multi-year deal for original animated features, shows
by Mykal Vincent, WAFB(WAFB/Gray News) - Netflix and Nickelodeon have formed a new, multi-year deal to produce original animated features and television series based on existing Nickelodeon characters as well as brand new ones, Variety reports.
“Nickelodeon has generated scores of characters that kids love, and we look forward to telling wholly original stories that re-imagine and expand on the worlds they inhabit,” said Netflix vice president of original animation Melissa Cobb. “We’re thrilled to continue collaborating with Brian Robbins, Ramsey Naito, and the creative team at Nickelodeon in new ways as we look to find fresh voices and bring bold stories to our global audience on Netflix.”
Currently in the works are specials based on “The Loud House” and “Rise of the Teenage Mutant Ninja Turtles.”
Netflix says 60% of its subscribers watch kids shows and movies regularly.
“Nickelodeon’s next step forward is to keep expanding beyond linear platforms, and our broader content partnership with Netflix is a key path toward that goal,” said Brian Robbins, president of Nickelodeon, who will become ViacomCBS’ head of kids and family entertainment once the Viacom-CBS merger closes in December.
The announcement came days after Disney launched its first streaming platform, Disney+, which racked up 10 million subscribers in the first 24 hours.
Copyright 2019 WAFB via Gray Media Group, Inc. All rights reserved.
Read the original version of this article at wafb.com.


Quiz-Board
ALL THE BEST IN YOUR JAVASCRIPT TEST!!!!
Answer all the questions below!
Is Javascript a computer language?(10mks)
No
Yes
Maybe
What is the alternative name for Javascript?(10mks)
ECCscript
JS
JSS
Does Javascript support automatic type conversion?(10mks)
Yes
No
Maybe
What would be the result of 3+2+"7"?(20mks)
57
67
12
Which one is not a type of pop-up box available in Javascript?(20mks)
confirm
alert
PPromptt
Which of this is not a primitive data type?(20mks)
strings
object
boolean
Is Javascript case sensitive?(10mks)
No
Yes
Not sure
SUBMIT


{% extends "layout.html" %} {% block main %}
This project uses the KMeans algorithm to calculate the dominant colors of an image. Upload the image and select the number of colors you wish to find from the image. You can also download the generated color palette from the palette page.
The webserver is run on Flask and hosted on Heroku.


{% extends "security/base.html" %} {% import "macros/wtf.html" as wtf %} {% block security_content %}


Global Functions in Global Namespace C++
in Sourcefile writer.h
- typereg_writer_create
- extern "C"
void * typereg_writer_create(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Creates a type writer working on a binary blob that represents a UNOIDL type.
- Description
-
Operations on a returned handle are not multi-thread–safe.
- Parameters
| version |
the version of the created type writer; must not be negative
|
| documentation |
the documentation; must not be null
|
| fileName |
the file name; must not be null (deprecated, use an empty string)
|
| typeClass |
the type class of the created type writer
|
| published |
whether the created type writer is published; for a type
class that cannot be published, this should be false
|
| typeName |
the type name of the created type writer; must not be null
|
| superTypeCount |
the number of super types of the created type writer
|
| fieldCount |
the number of fields of the created type writer
|
| methodCount |
the number of methods of the created type writer
|
| referenceCount |
the number of references of the created type writer
|
- Return
- a handle on the type writer; if an out-of-memory condition occurs,
null is returned, and no type writer is created
- Since
- UDK 3.2.0
- typereg_writer_destroy
- extern "C"
void typereg_writer_destroy(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Destroys a type writer.
- Parameters
| handle |
a handle on a type writer obtained from a call to
typereg_writer_create ; must not be null
|
- Since
- UDK 3.2.0
- typereg_writer_getBlob
- extern "C"
const void * typereg_writer_getBlob(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Returns the blob of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| size |
an out-parameter obtaining the size of the blob; must not be null
|
- Return
- a (byte-aligned) pointer to the blob; the returned pointer and the
returned
size
remain valid until the next function is called on
the given type writer; if an out-of-memory condition occurs, null is returned
and size
is not modified
- typereg_writer_setFieldData
- extern "C"
sal_Bool typereg_writer_setFieldData(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets the data of a field of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| index |
a valid index into the range of fields of the given type writer
|
| documentation |
the documentation of the field; must not be null
|
| fileName |
the file name of the field; must not be null (deprecated, use an empty string)
|
| flags |
the flags of the field
|
| name |
the name of the field; must not be null
|
| typeName |
the type name of the field; must not be null
|
| valueType |
the type of the value of the field
|
| valueValue |
the value of the value of the field
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
- typereg_writer_setMethodData
- extern "C"
sal_Bool typereg_writer_setMethodData(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets the data of a method of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| index |
a valid index into the range of methods of the given type writer
|
| documentation |
the documentation of the method; must not be null
|
| flags |
the flags of the method
|
| name |
the name of the method; must not be null
|
| returnTypeName |
the return type name of the method; must not be null
|
| parameterCount |
the number of parameters of the method
|
| exceptionCount |
the number of exceptions of the method
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
- typereg_writer_setMethodExceptionTypeName
- extern "C"
sal_Bool typereg_writer_setMethodExceptionTypeName(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets an exception type name of a method of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| methodIndex |
a valid index into the range of methods of the given type
writer
|
| exceptionIndex |
a valid index into the range of exceptions of the given
method
|
| typeName |
the exception type name; must not be null
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
- typereg_writer_setMethodParameterData
- extern "C"
sal_Bool typereg_writer_setMethodParameterData(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets the data of a parameter of a method of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| methodIndex |
a valid index into the range of methods of the given type
writer
|
| parameterIndex |
a valid index into the range of parameters of the given
method
|
| flags |
the flags of the parameter
|
| name |
the name of the parameter; must not be null
|
| typeName |
the type name of the parameter; must not be null
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
- typereg_writer_setReferenceData
- extern "C"
sal_Bool typereg_writer_setReferenceData(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets the data of a reference of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| index |
a valid index into the range of references of the given type
writer
|
| documentation |
the documentation of the reference; must not be null
|
| sort |
the sort of the reference
|
| flags |
the flags of the reference
|
| typeName |
the type name of the reference; must not be null
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
- typereg_writer_setSuperTypeName
- extern "C"
sal_Bool typereg_writer_setSuperTypeName(
-
| virtual |
abstract |
const |
volatile |
template |
static |
inline |
C-linkage |
| NO |
NO |
NO |
NO |
NO |
NO |
NO |
YES |
- Summary
- Sets the type name of a super type of a type writer.
- Parameters
| handle |
a handle on a type writer; must not be null
|
| index |
a valid index into the range of super types of the given type
writer
|
| typeName |
the super type name; must not be null
|
- Return
- false iff an out-of-memory condition ocurred, in which case the type
writer is not modified
- Since
- UDK 3.2.0
Top of Page
Copyright © 2012, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


In the fall of 2020, my beloved wife gave me the new wonderful keyboard Kinesis Advantage 2 . And it immediately became quite clear that I can’t type on it. I remembered how to type letters because I’ve mastered touch typing. All other keys were out of their usual place. And my productivity was dropped to almost zero. I felt like I use the keyboard for the first time in my life. Since I have already known touch typing, I decided to update my skills on a new keyboard by taking a suitable course. I found a trainer and even started to press the letters, but then I realized that the trainer has no exercise for service buttons. Then I looked for other trainers and tried many… the same result. The Spacebar and Enter and the upper/lower case switch are somehow taken into account by all these numerous courses, but many other switches and extended characters are completely ignored. All the trainers I found allow me to learn how to type letters, numbers, and a little punctuation. This isn’t enough! And I decided to create the trainer that trains my hands to use the entire keyboard. In fact, Enter, Control and Alt buttons have no differences from the letter buttons. This is new concept…
This trainer aims for you to get used to your keyboard. There is no specific typing method, just you and your keyboard. So, it suits if you wish to type with two fingers, and if you wish use ten fingers on each of three hands, I suppose some users could be from Alpha Centauri, yeah :) It suits for touch typing too.
To get used to any keyboard, it is necessary to press each key many times. In the beginning, you consciously pay attention to this, then the hands “remember” the key’s location on the keyboard and after that, they act automatically.
The trainer is flexible. It allows you to practice with any physical keyboard, any language, any keyboard layout, and any typing principles.
It is made for anyone who wants to use the keyboard more effectively. For anyone who wants, needs or has to type a lot of texts. For anyone who uses keyboard shortcuts with all its keys, including the toggle keys (Shift, Control, Alt), navigation keys and function keys.
The trainer doesn’t know anything about the configuration of your keyboard or keys layout, it could be the classic QWERTY or some specific like Dvorak or Coleman. The trainer is suitable for any option.
The key feature of KB-trainer is that this keyboard trainer allows you to train and to get used to all keys on your keyboard, not letters and numbers only, but everything.
The implementation of the simulator is based on the basic principles.
Good luck!
If you’d like to discuss a feature request, open an issue on GitHub and follow the guide. If you found a bug, open an issue on GitHub and follow the guide. The more detail the better! If you want to contribute, submit a pull request!
There are a lot of ideas here. I want to make some possibility to train shortcuts. Not only usual when some modifiers pressed with some letter key, but some like in Vim or Emacs, with some shortcuts sequence. Add possibility to users to create their own custom keyboards. I afraid that there will be some issues with European languages diacritics. And I have no idea if this trailer could be useful for eastern languages like China or Japanese.
Also I noticed that it’s more fun to train not just with metronome tics, but with some background music. For example disco gives rather smooth rhythm of 100-130 bits per minute. And I have and idea to make some disco-mix with smooth rhythm change instead of simple metronome. Probably some synth music will work also.


Africa is the world's second largest continent covering about over 30 million square kilometers. Africa is the world's second-largest and second-most populous continent, after Asia in both cases. Africa is the world's hottest continent with deserts and drylands covering 60% of land surface area. Africa is considered to be the second largest continent in the world with a total area of around 11 million square miles that account for 5.7% of the earth's surface as well as 20% of the total surface of land on our planet. ... Algeria is now the largest African country by geographical area.
Ethiopia, in the Horn of Africa, is a rugged, landlocked country split by the Great Rift Valley. With archaeological finds dating back more than 3 million years, it’s a place of ancient culture. Among its important sites are Lalibela with its rock-cut Christian churches from the 12th–13th centuries. Aksum is the ruins of an ancient city with obelisks, tombs, castles and Our Lady Mary of Zion church.
Kenya is a country in East Africa with coastline on the Indian Ocean. It encompasses savannah, lakelands, the dramatic Great Rift Valley and mountain highlands. It's also home to wildlife like lions, elephants and rhinos. From Nairobi, the capital, safaris visit the Maasai Mara Reserve, known for its annual wildebeest migrations, and Amboseli National Park, offering views of Tanzania's 5,895m Mt. Kilimanjaro.


Usage
Install
{{ installScript }}
Module
{{moduleCode}}
Component
{{componentCode}}
Component template
{{componentTemplateCode}}
Demos
You can also have custom loading screen, thumbnails, thumbnail errors
and thumbnail navigation arrows. Find out how in the
documentation
and/or try it out in
StackBlitz
!
Some properties like custom templates are missing. Checkout them out in
the
documentation
and/or try them out in
StackBlitz
!


Duckling freed from Roslyn drain
by Elena McPheeFirefighters were called to free a duckling from a drain in the Dunedin suburb of Roslyn this morning.
The call to Fire and Emergency New Zealand was made by members of the public who saw the bird with its mother in the predicament in Nairn St.
A fire officer, who did not want to be named, said other people had managed to free the mother duck when the fire service arrived to reunite the pair.


On average, more than two new species of human virus are reported every year. We constructed the cumulative species discovery curve for human viruses going back to 1901. We fitted a statistical model to these data; the shape of the curve strongly suggests that the process of virus discovery is far from complete. We generated a 95% credible interval for the pool of as yet undiscovered virus species of 38–562. We extrapolated the curve and generated an estimate of 10–40 new species to be discovered by 2020. Although we cannot predict the level of health threat that these new viruses will present, we conclude that novel virus species must be anticipated in public health planning. More systematic virus discovery programmes, covering both humans and potential animal reservoirs of human viruses, should be considered.
Despite long-standing interest in global biodiversity ( May 1988), only recently has the diversity of human pathogens been catalogued ( Taylor et al. 2001 ). Approximately 1400 pathogen species are currently recognized ( Woolhouse & Gaunt 2007). Fewer than 200 of these are viruses, but novel virus species are being reported in humans at a rate of over two per year, much faster than for other kinds of pathogen ( Woolhouse & Gaunt 2007). Novel viruses are a major public health concern, whether causing disease on the massive scale of HIV/AIDS, more transient events such as the SARS epidemic or potential future threats such as pandemic influenza. An analysis of temporal patterns of virus discovery is therefore of considerable interest.
Our analysis is based on the rate of accumulation of new human virus species: the ‘discovery curve’. Discovery curves have previously been used to estimate the total diversity of various plant and animal taxa ( Dove & Cribb 2006; Bebber et al. 2007 ). However, to our knowledge, the discovery curves have not previously been compiled for any category of human pathogen. Having compiled the discovery curve, we proceed to develop a simple statistical model which we use to estimate the size of the pool of human virus species, N, and the expected rate of discovery of new species to 2020.
A standard method for estimating numbers of species is to extrapolate the cumulative species discovery curve ( Bebber et al. 2007 ). We gathered data for this curve by systematically searching the primary literature for first reports of human infection with each of the currently recognized virus species, using species as defined by the International Committee on Taxonomy of Viruses (ICTV;
We used piecewise linear regression to test for changes in the slope of the discovery curve. The results suggested upswings in 1930 (95% CI, 1929–1933) and 1954 (1953–1956). We therefore restricted detailed analysis to the period 1954–2006.
We modelled discovery since 1954 assuming a total number of species available to be discovered (the species pool) of N virus species, each discovered in any given year with probability p. The model was fitted to the data and assessed using Markov chain Monte Carlo (MCMC)-based Bayesian inference, generating distributions and credible intervals for the parameters. The model defines the expected number of discovered viruses in year t as
The binomial distribution B( N, p) can be accurately approximated by a Poisson distribution with parameter Np for the range of values of N and p of interest. We considered fitting a distribution for values of p; however, provided individual p-values are low there is minimal improvement in model fit. Thus, for a set of model parameters, the likelihood of observing data, X={ x
We compared the model with the observed data by calculating the mean, trend in the mean and variance for the number of virus species discovered per year (based on five million simulations using best-fit parameter values). The model was extrapolated to year 2020 by calculating the expected number of viruses discovered using the best-fit model. The 95% posterior prediction intervals were calculated using two million model simulations taking into account parameter uncertainty (as given by data from 1954 to 2006) and natural model simulation stochasticity.
As a validation exercise, the model was also fitted to the curve for accumulated virus families from 1954 using the same methods, except that the Poisson approximation no longer holds, so a binomial distribution was used. A family (based on current ICTV classifications) was added to the total when the first post-1954 species was allocated to that family. We tested the assumption that species can be randomly assigned to families (weighted by the size of the families) by noting the number of years in which 0, 1, 2, etc. virus families were discovered. This was done one million times to obtain a distribution for comparison with the observed values.
From a comprehensive search of the primary literature, we found 188 virus species that have been reported to infect humans, going back to yellow fever virus in 1901 ( table 1). Since then, the number of human virus species discovered in any given year has ranged from zero to six. As is typical ( Bebber et al. 2007 ), the cumulative species discovery curve increases slowly initially and then more rapidly ( figure 1). Piecewise linear regression suggests no further upswings since 1954, roughly corresponding to the advent of tissue culture techniques for virus detection ( figure 1).
We confirmed that our model reproduced the observed slight downward trend in the rate of discovery since 1954 ( figure 1) and the observed variance in the data from 1954 to 2006 ( figure 2). The distribution of the number of virus species discovered per year shows slight overdispersion (mean=2.69; variance=3.07; variance-to-mean ratio greater than 1) which falls within the predicted range (mean=2.70 with 95% credible interval 2.41–3.00; variance=3.03 with interval 1.99–4.49). Together, these results support our choice of model, even though we do not explicitly consider heterogeneity in the probability of discovering a given species in any one year ( p) or temporal variation in sampling effort, detection techniques and reporting.
Noting that p and N are highly correlated ( figure 3), our best estimate for p is 0.015 (95% credible interval, 0.004–0.026) with 117 (38–562) so far undiscovered virus species. Extrapolating the discovery curve, allowing for parameter uncertainty and stochastic discovery, we obtain a best estimate of 22 new species (10–40) by 2020 ( figure 1).
Data on the cumulative discovery of new virus families are also reproducible ( figure 4). The predicted distribution of the number of virus families discovered per year (assuming random allocation of species to families) compares favourably with the observed distribution ( figure 5). This provides further support for the appropriateness of our model.
We conclude that it is extremely probable that new human viruses will continue to be discovered in the immediate future; we are not yet close to the end of the virus discovery curve. As a direct result of this, it is not possible to estimate the size of the species pool for human viruses with precision. However, in contrast to the negative assessment by Bebber et al. (2007) of the use of incomplete species accumulation curves, we consider that the upper and lower limits to our estimate of the size of the species pool are of interest and also have practical implications.
Current trends are consistent with a pool of at least 38 undiscovered species that will be reported at an average rate of at least approximately one per year to 2020. In this context, it is worth noting that three new species were reported in 2007: two polyoma viruses, Ki and Wu, and a reovirus, Melaka ( Allander et al. 2007 ; Chua et al. 2007 ; Gaynor et al. 2007 ). Other viruses may have been reported but not yet classified. In practice, future rates of discovery will, of course, be affected by any major advances in virus detection technology or by any major shifts (upwards or downwards) in the effort expended on virus discovery programmes. Tissue culture was regarded as the ‘gold standard’ for virus detection up until a few years ago when molecular methods came to the fore ( Storch 2007), although there has not been a detectable increase in discovery rates as a result. Indeed, it is striking that there have been no dramatic changes in the pattern of virus discovery for over 50 years; extrapolations from our data should therefore provide a useful benchmark for probable future discovery rates.
The upper limit for N is finite but large; we cannot rule out hundreds of novel human viruses to be reported in the future. There are two (not mutually exclusive) possible explanations for such a high level of diversity. First, it could reflect the largely unknown extant diversity of viruses in the non-human animal reservoirs that constitute the major source of emerging human pathogens ( Taylor et al. 2001 ; Woolhouse & Gaunt 2007). The majority of human viruses are known to be capable of infecting non-human hosts (almost exclusively mammals and birds), and the animal origin of many apparently novel human viruses (e.g. HIV1 and HIV2, SARS CoV, Nipah virus) has been frequently remarked upon ( Morse 1995; Woolhouse & Gowtage-Sequeria 2005; Wolfe et al. 2007 ); indeed, recently discovered viruses are even more likely to be associated with a non-human reservoir ( Woolhouse & Gaunt 2007). All these observations are consistent with the idea that a significant fraction of viruses discovered in the last few decades is ecological ‘spillover’ from animal populations rather than newly evolved specialist human viruses. We have very limited knowledge of the diversity of viruses present in most mammal and bird species (with most attention having been paid to viruses of domestic animals; Cleaveland et al. 2001 ), so it is unclear for how long this process might continue.
An alternative explanation for a large pool of human viruses is that this reflects a high rate of evolution (within a reservoir population) of truly novel species capable of infecting humans. This hypothesis is difficult to test directly without much more comprehensive sequence data from both human and non-human virus populations. We note that the finite upper limit for the current estimate of N does not necessarily imply that the process of virus discovery is not open-ended (as a result of the evolution of new species) since there could be a low background rate of virus evolution, which will remain once extant diversity has been fully revealed. The balance between revealing extant diversity and the continual evolution of new species could be explored using a more complex model than equation (2.1); however, the available data are insufficient to yield useful estimates of the additional parameters required.
Although we cannot know in advance how big a threat they will pose, novel human viruses must be anticipated in public health planning and surveillance programmes for emerging infectious diseases ( King et al. 2006 ; Jones et al. 2008 ). However, current approaches to virus discovery are largely passive, usually relying on investigation of reports of human disease with unfamiliar clinical symptoms and uncertain aetiology. Recently, there have been calls for more active discovery programmes for viruses and other pathogens involving ‘systematic sampling and phylogeographic analysis of related pathogens in diverse animal species’ ( Wolfe et al. 2007 ). We consider that such calls are supported by the results reported here.
We are grateful for the support from the Wellcome Trust (M.W., N.S.), the BBSRC (R.H., E.G.) and DEFRA/SFC (L.R., M.C.T.).
The discovery curve for human virus species. Cumulative number of species reported to infect humans (black circles and line). Statistically significant upward breakpoints are shown (vertical lines). Best-fit curve (solid line) and lower and upper 95% posterior prediction intervals (dashed lines) for extrapolation to 2020.
Approximate probability density of variance in simulated data from 1954 to 2006 for the best-fit model. Arrow shows observed value.
Approximate probability density function of parameter p and N generated by MCMC methods (see main text for details).
Accumulation of virus families associated with species discovered after 1954 (black circles and line). Best-fit curve (solid line) and lower and upper 95% posterior prediction intervals (dashed lines) extrapolated to 2020. Fitted parameter values are N=25 (95% credible intervals 24–37) and p=0.056 (0.027–0.089).
Frequency distribution for the number per year of virus families associated with species discovered from 1954 to 2006, generated by reassigning the discovered viruses to families, repeated 10 6 times. Expected number with 95% credible intervals (bars) and data (black circles).
List of viruses ordered by year of first report a of human infection.
| 111901 | 11Yellow fever virus | 11flavi |
| 111903 | 11Rabies virus | 11rhabdo |
| 111907 | 11Dengue virus | 11flavi |
| 111907 | 11Human papillomavirus | 11papilloma |
| 111907 | 11Molluscum contagiosum virus | 11pox |
| 111907 | 11Variola virus | 11pox |
| 111909 | 11Poliovirus | 11picorna |
| 111911 | 11Measles virus | 11paramyxo |
| 111919 | 11Human herpesvirus 3 | 11herpes |
| 111921 | 11Human herpesvirus 1 | 11herpes |
| 111931 | 11Rift Valley fever virus | 11bunya |
| 111933 | 11Influenza A virus | 11orthomyxo |
| 111933 | 11Lymphocytic choriomeningitis virus | 11arena |
| 111933 | 11St Louis encephalitis virus | 11flavi |
| 111934 | 11Cercopithecine herpes virus 1 | 11herpes |
| 111934 | 11Japanese encephalitis virus | 11flavi |
| 111934 | 11Louping ill virus | 11flavi |
| 111934 | 11Mumps virus | 11paramyxo |
| 111934 | 11Orf virus | 11pox |
| 111937 | 11Tick-borne encephalitis virus | 11flavi |
| 111938 | 11Cowpox virus | 11pox |
| 111938 | 11Eastern equine encephalitis virus | 11toga |
| 111938 | 11Rubella virus | 11toga |
| 111938 | 11Venezuelan equine encephalitis virus | 11toga |
| 111938 | 11Western equine encephalitis virus | 11toga |
| 111940 | 11Influenza B virus | 11orthomyxo |
| 111940 | 11West Nile virus | 11flavi |
| 111941 | 11Bwamba virus | 11bunya |
| 111943 | 11Newcastle disease virus | 11paramyxo |
| 111944 | 11Sandfly fever Naples virus | 11bunya |
| 111944 | 11Sandfly fever Sicilian virus | 11bunya |
| 111946 | 11Colorado tick fever virus | 11reo |
| 111947 | 11Omsk haemorrhagic fever virus | 11flavi |
| 111948 | 11Encephalomyocarditis virus | 11picorna |
| 111948 | 11Human enterovirus C | 11picorna |
| 111949 | 11Human enterovirus A | 11picorna |
| 111949 | 11Human enterovirus B | 11picorna |
| 111950 | 11Influenza C virus | 11orthomyxo |
| 111950 | 11Vesicular stomatitis virus | 11rhabdo |
| 111951 | 11Bunyamwera virus | 11bunya |
| 111952 | 11California encephalitis virus | 11bunya |
| 111952 | 11Murray Valley encephalitis virus | 11flavi |
| 111952 | 11Ntaya virus | 11flavi |
| 111953 | 11Human rhinovirus A | 11picorna |
| 111954 | 11Human adenovirus B | 11adeno |
| 111954 | 11Human adenovirus C | 11adeno |
| 111954 | 11Human adenovirus E | 11adeno |
| 111955 | 11Human adenovirus D | 11adeno |
| 111956 | 11Chikungunya virus | 11toga |
| 111956 | 11Human herpesvirus 5 | 11herpes |
| 111956 | 11Human parainfluenza virus 2 | 11paramyxo |
| 111956 | 11Ilheus virus | 11flavi |
| 111957 | 11Human adenovirus A | 11adeno |
| 111957 | 11Human respiratory syncytial virus | 11paramyxo |
| 111957 | 11Kyasanur forest disease virus | 11flavi |
| 111957 | 11Mayaro virus | 11toga |
| 111957 | 11Wesselsbron virus | 11flavi |
| 111958 | 11Human parainfluenza virus 1 | 11paramyxo |
| 111958 | 11Human parainfluenza virus 3 | 11paramyxo |
| 111958 | 11Human parechovirus | 11picorna |
| 111958 | 11Junin virus | 11arena |
| 111959 | 11Banzi virus | 11flavi |
| 111959 | 11Guaroa virus | 11bunya |
| 111959 | 11Powassan virus | 11flavi |
| 111960 | 11Human parainfluenza virus 4 | 11paramyxo |
| 111960 | 11Human rhinovirus B | 11picorna |
| 111961 | 11Caraparu virus | 11bunya |
| 111961 | 11Catu virus | 11bunya |
| 111961 | 11O'nyong-nyong virus | 11toga |
| 111961 | 11Oropouche virus | 11bunya |
| 111962 | 11Rio Bravo virus | 11flavi |
| 111962 | 11Sindbis virus | 11toga |
| 111963 | 11Equine rhinitis virus A | 11picorna |
| 111963 | 11Great Island virus | 11reo |
| 111963 | 11Pseudocowpox virus | 11pox |
| 111963 | 11Yaba monkey tumour virus | 11pox |
| 111964 | 11Human herpesvirus 4 | 11herpes |
| 111964 | 11Machupo virus | 11arena |
| 111964 | 11Zika virus | 11flavi |
| 111965 | 11Chagres virus | 11bunya |
| 111965 | 11Foot and mouth disease virus | 11picorna |
| 111965 | 11Tanapox virus | 11pox |
| 111965 | 11Wyeomyia virus | 11bunya |
| 111966 | 11Changuinola virus | 11reo |
| 111966 | 11Human coronavirus 229E | 11corona |
| 111966 | 11Quaranfil virus | 11unassigned |
| 111966 | 11Saimiriine herpesvirus 1 | 11herpes |
| 111967 | 11Chandipura virus | 11rhabdo |
| 111967 | 11Crimean-Congo haemorrhagic fever virus | 11bunya |
| 111967 | 11Human coronavirus OC43 | 11corona |
| 111967 | 11Human enterovirus D | 11picorna |
| 111967 | 11Piry virus | 11rhabdo |
| 111967 | 11Tacaiuma virus | 11bunya |
| 111968 | 11Human herpesvirus 2 | 11herpes |
| 111968 | 11Marburg virus | 11filo |
| 111968 | 11Tataguine virus | 11bunya |
| 111970 | 11Everglades virus | 11toga |
| 111970 | 11Hepatitis B virus | 11hepadna |
| 111970 | 11Lassa virus | 11arena |
| 111970 | 11Punta Toro virus | 11bunya |
| 111971 | 11Aroa virus | 11flavi |
| 111971 | 11BK virus | 11polyoma |
| 111971 | 11Duvenhage virus | 11rhabdo |
| 111971 | 11JC virus | 11polyoma |
| 111971 | 11Vaccinia virus | 11pox |
| 111972 | 11Bovine papular stomatitis virus | 11pox |
| 111972 | 11Mokola virus | 11rhabdo |
| 111972 | 11Monkeypox virus | 11pox |
| 111972 | 11Norwalk virus | 11calici |
| 111972 | 11Ross River virus | 11toga |
| 111973 | 11Bangui virus | 11bunya |
| 111973 | 11Dugbe virus | 11bunya |
| 111973 | 11Hepatitis A virus | 11picorna |
| 111973 | 11Kotonkan virus | 11rhabdo |
| 111973 | 11Rotavirus A | 11reo |
| 111973 | 11Tamdy virus | 11bunya |
| 111974 | 11Getah virus | 11toga |
| 111975 | 11B19 virus | 11parvo |
| 111975 | 11Bhanja virus | 11bunya |
| 111975 | 11Human astrovirus | 11astro |
| 111975 | 11Lebombo virus | 11reo |
| 111975 | 11Shuni virus | 11bunya |
| 111975 | 11Thogoto virus | 11orthomyxo |
| 111976 | 11Orungo virus | 11reo |
| 111976 | 11Wanowrie virus | 11bunya |
| 111977 | 11Hepatitis delta virus | 11unassigned |
| 111977 | 11Sudan Ebola virus | 11filo |
| 111977 | 11Zaire Ebola virus | 11filo |
| 111978 | 11Hantaan virus | 11bunya |
| 111978 | 11Issyk-Kul virus | 11bunya |
| 111980 | 11Human T-lymphotropic virus 1 | 11retro |
| 111980 | 11Puumala virus | 11bunya |
| 111982 | 11Human T-lymphotropic virus 2 | 11retro |
| 111982 | 11Seoul virus | 11bunya |
| 111983 | 11Candiru virus | 11bunya |
| 111983 | 11Hepatitis E virus | 11unassigned |
| 111983 | 11Human adenovirus F | 11adeno |
| 111983 | 11Human immunodeficiency virus 1 | 11retro |
| 111984 | 11Human torovirus | 11corona |
| 111984 | 11Rotavirus B | 11reo |
| 111985 | 11Borna disease virus | 11borna |
| 111986 | 11European bat lyssavirus 2 | 11rhabdo |
| 111986 | 11Human herpesvirus 6 | 11herpes |
| 111986 | 11Human immunodeficiency virus 2 | 11retro |
| 111986 | 11Kasokero virus | 11bunya |
| 111986 | 11Kokobera virus | 11flavi |
| 111986 | 11Rotavirus C | 11reo |
| 111987 | 11Dhori virus | 11orthomyxo |
| 111987 | 11Sealpox virus | 11pox |
| 111987 | 11Suid herpesvirus 1 | 11herpes |
| 111988 | 11Barmah Forest virus | 11toga |
| 111988 | 11Picobirnavirus | 11birna |
| 111989 | 11European bat lyssavirus 1 | 11rhabdo |
| 111989 | 11Hepatitis C virus | 11flavi |
| 111990 | 11Banna virus | 11reo |
| 111990 | 11Gan Gan virus | 11bunya |
| 111990 | 11Reston Ebola virus | 11filo |
| 111990 | 11Semliki Forest virus | 11toga |
| 111990 | 11Trubanaman virus | 11bunya |
| 111991 | 11Guanarito virus | 11arena |
| 111992 | 11Dobrava-Belgrade virus | 11bunya |
| 111993 | 11Sin Nombre virus | 11bunya |
| 111994 | 11Hendra virus | 11paramyxo |
| 111994 | 11Human herpesvirus 7 | 11herpes |
| 111994 | 11Human herpesvirus 8 | 11herpes |
| 111994 | 11Sabia virus | 11arena |
| 111995 | 11Bayou virus | 11bunya |
| 111995 | 11Black Creek Canal virus | 11bunya |
| 111995 | 11Cote d'Ivoire Ebola virus | 11filo |
| 111995 | 11Hepatitis G virus | 11flavi |
| 111995 | 11New York virus | 11bunya |
| 111996 | 11Andes virus | 11bunya |
| 111996 | 11Australian bat lyssavirus | 11rhabdo |
| 111996 | 11Juquitiba virus | 11bunya |
| 111996 | 11Usutu virus | 11flavi |
| 111997 | 11Laguna Negra virus | 11bunya |
| 111998 | 11Menangle virus | 11paramyxo |
| 111999 | 11Nipah virus | 11paramyxo |
| 111999 | 11Torque teno virus | 11circo |
| 112000 | 11Whitewater Arroyo virus | 11arena |
| 112001 | 11Baboon cytomegalovirus | 11herpes |
| 112001 | 11Human metapneumovirus | 11paramyxo |
| 112003 | 11SARS coronavirus | 11corona |
| 112004 | 11Human coronavirus NL63 | 11corona |
| 112005 | 11Human bocavirus | 11parvo |
| 112005 | 11Human coronavirus HKU1 | 11corona |
| 112005 | 11Human T-lymphotropic virus 3 | 11retro |
| 112005 | 11Human T-lymphotropic virus 4 | 11retro |
Full details of sources available from authors on request.


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Switch storage backends
Estimated reading time: 3 minutesThese are the docs for DTR version 2.6.11
To select a different version, use the selector below.
Starting in DTR 2.6, switching storage backends initializes a new metadata store and erases your existing tags. This helps facilitate online garbage collection, which has been introduced in 2.5 as an experimental feature. In earlier versions, DTR would subsequently start a tagmigration
job to rebuild tag metadata from the file layout in the image layer store.  As best practice, DTR storage backends and metadata should always be moved, backed up, and restored together.
DTR 2.6.4 and above
In DTR 2.6.4, a new flag, --storage-migrated
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which lets you indicate the migration status of your storage data during a reconfigure. If you are not worried about losing your existing tags, you can skip the recommended steps below and perform a reconfigure.
Best practice for data migration
Docker recommends the following steps for your storage backend and metadata migration:
-
Disable garbage collection by selecting “Never” under System > Garbage Collection, so blobs referenced in the backup that you create continue to exist. See Garbage collection for more details. Make sure to keep it disabled while you’re performing the metadata backup and migrating your storage data.
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Back up your existing metadata. See docker/dtr backup for CLI command description and options.
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Migrate the contents of your current storage backend to the new one you are switching to. For example, upload your current storage data to your new NFS server.
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Restore DTR from your backup and specify your new storage backend. See docker/dtr destroy and docker/dtr restore for CLI command descriptions and options.
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With DTR restored from your backup and your storage data migrated to your new backend, garbage collect any dangling blobs using the following API request:
curl -u <username>:$TOKEN -X POST "https://<dtr-url>/api/v0/jobs" -H "accept: application/json" -H "content-type: application/json" -d "{ \"action": \"onlinegc_blobs\" }"
On success, you should get a
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response with a jobid
and other related details. This ensures any blobs which are not referenced in your previously created backup get destroyed.
Alternative option for data migration
If you have a long maintenance window, you can skip some steps from above and do the following:
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Put DTR in “read-only” mode using the following API request:
curl -u <username>:$TOKEN -X POST "https://<dtr-url>/api/v0/meta/settings" -H "accept: application/json" -H "content-type: application/json" -d "{ \"readOnlyRegistry\": true }"
On success, you should get a
202 Accepted
response. -
Migrate the contents of your current storage backend to the new one you are switching to. For example, upload your current storage data to your new NFS server.
-
Reconfigure DTR while specifying the
--storage-migrated
flag to preserve your existing tags.
 If you encounter an issue with lost tags, refer to the following resources:
- For changes to reconfigure and restore options in DTR 2.6, see docker/dtr reconfigure and docker/dtr restore.
- For Docker’s recommended recovery strategies, see DTR 2.6 lost tags after reconfiguring storage.
- For NFS-specific changes, see Use NFS.
- For S3-specific changes, see Learn how to configure DTR with Amazon S3.
Upgrade to DTR 2.6.4 and follow best practice for data migration to avoid the wiped tags issue when moving from one NFS serverto another.


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Dates in timeseries models¶
In [ ]:
from __future__ import print_function
import statsmodels.api as sm
import numpy as np
import pandas as pd
Getting started¶
In [ ]:
data = sm.datasets.sunspots.load()
Right now an annual date series must be datetimes at the end of the year.
In [ ]:
from datetime import datetime
dates = sm.tsa.datetools.dates_from_range('1700', length=len(data.endog))
Using Pandas¶
Make a pandas TimeSeries or DataFrame
In [ ]:
endog = pd.TimeSeries(data.endog, index=dates)
Instantiate the model
In [ ]:
ar_model = sm.tsa.AR(endog, freq='A')
pandas_ar_res = ar_model.fit(maxlag=9, method='mle', disp=-1)
Out-of-sample prediction
In [ ]:
pred = pandas_ar_res.predict(start='2005', end='2015')
print(pred)
Using explicit dates¶
In [ ]:
ar_model = sm.tsa.AR(data.endog, dates=dates, freq='A')
ar_res = ar_model.fit(maxlag=9, method='mle', disp=-1)
pred = ar_res.predict(start='2005', end='2015')
print(pred)
This just returns a regular array, but since the model has date information attached, you can get the prediction dates in a roundabout way.
In [ ]:
print(ar_res.data.predict_dates)
Note: This attribute only exists if predict has been called. It holds the dates associated with the last call to predict.


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 We strongly recommend our patients to be at home.
However we understand that your health is of utmost importance and it’s very difficult to wait when you have some illness. Thus we have come up with the Online Consultation where you can consult with our doctors through video conference and doctor will give you the best advice as well as digital prescription.


One elected, Ezenna assures that he will create money-making opportunities for the entire class of 2016 by working with the fundraising commissioners.
In addition, Ezenna ensures that money is safe and plentiful for the duration of the Class of 2019.
Ezenna will apply practical and analytical decision making skills to ensure that every dollar spent by the class will not go to waste.
Ezenna's wide range of hobbies reflect well on his financial abilities. As treasurer, he can apply the skills he has already acquired.
Ezenna's skills in subjects like mathematics will allow our class to suceed!.


Notable changes
Changed
Added
Fixed
Commits by author
Sehrope Sarkuni (1):
- fix: Revert inet default Java type to PGObject and handle values with net masks PR 1568 3df32f9
Contributors to this release
We thank the following people for their contributions to this release.
Dave Cramer
Sehrope Sarkuni


This webpage is provided 'as is' without warranty of any kind, either expressed or implied and such software is to be used at your own risk.
This has only been tested on Windows 10, using Google Chrome 88.0.4324.190. View the 'Console' in 'Developer Tools' to catch and troubleshoot any errors.
Validate an XRP Secret with old Minimalist Ripple Client Libraries
NOTE: You should be using an OFFLINE, "air gapped" device for this process. Also, if possible, you should send and then return some XRP from your new address before trusting it with larger amounts.
Why use old Minimalist Ripple Client Libraries? This is a check against possible introduced bugs into the newer versions of the Ripple-Lib Javascript library.


Welcome to Trees That Feed Foundation!
Vision
Our Foundation's vision is seeing local communities in developing countries with sustainable food supplies, accessible markets for their excess food production, jobs for their people, and an improved, reforested environment. We are helping by planting food producing trees, providing education, supplying equipment, fostering small farmers and cooperatives, and enabling commercial ventures. We see improved diets and independence from imported foods and agro chemicals.
Mission
Our mission is planting trees to feed people, create jobs and benefit the environment. Many tropical countries experience hunger, yet many species of suitable trees produce edible fruit. It is our mission to supply individuals and groups with quantities of the best varieties of these trees, while being sensitive to the environment. We avoid trees that are invasive or genetically engineered. We focus on those that require minimal use of fertilizers and agricultural chemicals. We are supplying trees for planting in small farms, field margins, agroforests and urban backyards. We will also work with commercial orchards on large scale planting.
Purpose
Our purpose is to help supply additional food to needy communities using fruit bearing trees. We assist subsistence farmers in transforming their fields into agro-forests where required. We encourage shade tolerant trees growing under canopies of larger trees, all bearing fruit, for example, cocoa or coffee growing in the shade of the breadfruit tree. We provide training in care of the trees and reaping the fruit. We provide equipment to help make post-harvest products. And we leverage our efforts by collaborating with local partners, including government bodies, NGOs, co-ops, service clubs, churches, schools and community associations.