Teaching school and system leader help desk
Telephone 0800 085 0984
Opening hours: Monday to Friday 9am to 5pm, excluding UK bank holidays.
Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
System leaders who they are and what they do.
One of the most effective ways of achieving school improvement is by working with other schools.
There are now many opportunities for school leaders and governors to work with and receive support from their peers. This guide summarises the options available to you and how to access them.
Use the school-to-school support directory to find and contact system leaders or teaching schools in your area.
We’re looking to improve our content on support for schools and how you find support in your area. Please give us your views .
Teaching schools have an important role to play in a school-led system and in school improvement. Teaching schools will be centres of excellence, taking on a more focused role that prioritises:
co-ordinating and delivering high quality school-based initial teacher training ( ITT )
Providing high quality school-to-school support to spread excellent practice, particularly to schools that need it most
Providing evidence-based professional and leadership development for teachers and leaders across their network
In addition, teaching schools can play a role as brokerage hubs for other system leaders, co-ordinating the supply and activity of national leaders of education ( NLEs ), national leaders of governance ( NLGs ) and specialist leaders of education ( SLEs ). They help prevent underperformance by supporting vulnerable schools, and where needed, help tackle underperformance in coasting schools and lead improvement in good schools.
Read the latest Teaching schools: the school perspective report . This report gives examples of what teaching schools around the country are doing to respond to the main areas of their role.
Schools are welcome to contact a teaching school to ask about what they can offer.
Find teaching schools in your area:
There may be costs, depending on what type of support you need. You will negotiate any payment with the teaching school.
This will vary considerably, depending on how much support your school needs. Some projects only take a few days, others can include full-time support roles over a period of several years. Your school, the teaching school, and any concerned organisations (for example, Ofsted or the local authority) will negotiate this.
Local authorities and other educational support organisations who want to work with teaching schools should email us at the address below to discuss options.
For more information about teaching schools, email<EMAIL_ADDRESS>.
NLEs are outstanding headteachers who, together with the staff in their national support school (NSS), use their skills and experience to support schools in challenging circumstances. In addition to leading their own schools, NLEs work to increase the leadership capacity of other schools to help raise standards.
NLEs can be deployed in a number of ways and each deployment can be tailored to suit the needs of the school receiving support. NLEs are expected to support schools in the most challenging circumstances such as those in an Ofsted category, facing closure or amalgamation or falling below the floor standards.
You should contact an NLE if you want to improve performance at your school. They will meet with the headteacher and senior staff from your school to discuss the challenges you face and what help is needed. Their work will be tailored in partnership with you.
They can get involved in different ways, including:
Use the school-to-school support directory to find national leaders of education in your area. Contact details are available through the directory. You can contact the NLE directly.
There may be costs, depending on what type of support you need. Any payments will be negotiated between you and the NLE ’s school.
This is a very intensive form of support. The length and type of work can vary significantly. It could involve up to 3 to 4 days of support per week for 2 years or more.
For more information about NLEs , email<EMAIL_ADDRESS>.
NLGs are highly effective chairs of governors who use their skills and experience to provide coaching and mentoring support to another chair of governors to improve school and academy performance.
You should contact an NLG if you want to improve the leadership and performance of your school’s governing body.
Examples of deployments:
Use the school-to-school support directory to find national leaders of governance in your area. School details are available through the directory. To contact the NLG directly, please contact<EMAIL_ADDRESS>.
NLGs are expected to provide effective support to at least 1 school per year. After providing the equivalent of 10 days of free support NLGs may charge for support. Any costs must be negotiated between you and the NLG .
The NLG will work directly with your school’s chair of governors. Their support can include:
The time can be spent across full or partial days, during evenings or at weekends.
For more information about NLGs , email<EMAIL_ADDRESS>.
The National College for Teaching and Leadership ( NCTL ) no longer designate LLEs . Teaching schools have the freedom to recruit and designate school leaders in this role as they already do with specialist leaders of education ( SLEs ).
Please read the local leaders of education news story for further information.
SLEs are experienced middle or senior leaders with a specialism (for example, mathematics, ITT , behaviour).
While other roles (for example, advanced skills teachers) focused on developing classroom expertise, this role is about developing other leaders so that they have the skills to lead their own teams and improve practice in their own schools.
You should contact an SLE if you want to improve the leadership in a specific subject or specialist area in your school.
SLEs can provide one-to-one or group support. Their work could involve a variety of activities, such as:
SLE specialisms cover the 4 areas of focus for Ofsted.
| Ofsted focus | Areas of expertise |
|---|---|
| Leadership and management | Academies and academy transition; assessment; leadership of continuing professional development; school business management and financial management; leadership of curriculum |
| Pupil achievement | Art; closing the gap; drama; design and technology; early years; English; geography; history; information and communication technology; maths; modern foreign languages; music; phonics; physical education; personal, social and health education; religious education; science; special educational needs; support for the most able pupils |
| Quality of teaching | Initial teacher training and newly qualified teacher development |
| Behaviour and safety | Behaviour and discipline; attendance |
Teaching schools manage the placements for SLEs . A teaching school in your area will send the SLE to work with staff in your school.
Use the school-to-school support directory to find teaching schools in your area, then browse the subjects that SLEs cover in those schools. Contact details are available through the directory. You can contact the teaching school directly.
You will usually need to pay the teaching school for an SLE ’s time. Payment for SLE services is negotiated by you and the teaching school.
This will vary according to the project, level of support required and number of your staff involved. For example, one project might be a 2-day diagnostic exercise, while another might require a 3-month, full-time support role. Time may be taken as a block of consecutive days or spread over a longer period.
For more information about SLEs , email<EMAIL_ADDRESS>.
A pupil premium review looks at how a school is spending its pupil premium funding. As a reviewer, system leaders will work with you to improve your school’s pupil premium strategy so the funding is spent on approaches shown to be effective in improving the achievement of disadvantaged pupils. They will carry out a focused review of your school’s current provision and work with you to put in place an improved strategy, including planned spend, on specific evidence-based approaches.
The NCTL designates system leaders as pupil premium reviewers. Reviewers have a track record in making a difference with disadvantaged pupils. These system leaders are responsible for the delivery of an effective review, and will usually hold an initial discussion with the head teacher of the commissioning school. Beyond this, reviewers may deploy other members of their leadership team with expertise in this area, including middle leaders and SLEs , to lead aspects of the review.
Commissioning schools or academy trusts pay for their pupil premium review. The cost is a matter for agreement between your and the commissioning school / academy trust, but should reflect the amount of time involved. There is no set cost for a review and the DfE and NCTL have no set day rates for system leaders, but as a guide, day rates should reflect pay and expenses for a senior leader or headteacher, including the costs incurred by their school to release them. A typical day rate for a system leader is currently between £300 and £500.
An effective pupil premium review will usually take between two and four days. This includes a day spent by your school undertaking self-evaluation, and a half-day follow-up visit. Reviewed schools have attested to the value of further follow-up visits later in the year, once changes have had time to bed in.
For more information, visit our pupil premium reviewer pages .
The Teaching Schools Council plays a key role in ensuring every child in every part of the country has access to a good school. It does this by working with regional and national partners to ensure high quality ITT , high quality professional and leadership development opportunities and effective school-to-school support.
Teaching Schools Council representatives work with regional schools commissioners to help deliver school improvement on the ground, and with other agencies such as Ofsted, local authorities and dioceses. The Teaching Schools Council has a national strategic presence complemented by local partnerships that can draw in wider resources such as NLEs .
The Teaching Schools Council is made up of 17 representatives, all of whom are serving school leaders of designated teaching schools (CEOs of MATs, executive heads, headteachers or directors of teaching schools). All representatives have both a regionally and nationally facing role. There are 2 peer representatives who contribute to support the work of the Teaching Schools Council.
The Teaching Schools Council regional representatives have recently developed regional and sub-regional networks to enable coherent and effective practice for school based ITT , evidence-based professional development and school-to-school support. Teaching Schools Council regional representatives and their networks provide essential support to all teaching school alliances and system leaders including supporting the brokerage of support particularly to schools that need it most. They work collaboratively with other key players in the regions, including regional schools commissioners, Ofsted, local authorities and dioceses to help deliver school improvement on the ground and ensure effective communication links across the regions.
Each network will support newly designated teaching school alliances particularly in their first few weeks of designation, providing an overview of regional teaching school activity and key priorities. Further support can be provided to help new alliances consider their governance structures and arrangements to enable effective delivery against priorities. Teaching Schools Council regional representatives will contact new alliances at the regional induction event with an expectation that they will join the regional network.
For more information regarding the work of the Teaching Schools Council or to contact a representative, please visit the Teaching Schools Council website .
Telephone 0800 085 0984
Opening hours: Monday to Friday 9am to 5pm, excluding UK bank holidays.
Telephone 0800 085 0984
Opening hours: Monday to Friday 9am to 5pm, excluding UK bank holidays.
Published: 25 March 2014
Updated: 4 April 2016


vignettes/package-download.Rmd
package-download.Rmd
This vignette aims to showcase a use case when the user wants to download all the datasets of a data package using metajam
- download_d1_data_pkg
.
In this example we use a csv file storing packages returned after searching for soil bulk density
on Arctic Data Center and KNB data repositories.
# Directory to save the data set path_folder <- "./Soil_bulk" # URL to read the search results stored as a csv on Google Drive csv_search_results_url <- "https://drive.google.com/uc?export=download&id=1WTLP2BcXCXmUyv4kmntyhuPfrBNdPIqV"
# Create the local directory to store data sets dir.create(path_folder, showWarnings = FALSE) # Read the data listing from Google Drive: https://drive.google.com/open?id=1WTLP2BcXCXmUyv4kmntyhuPfrBNdPIqV data_listing <- read_csv(csv_search_results_url) ### Download the data and metadata ---- # Create the list of unique dois dois <- unique(data_listing$identifier) # batch download the datasets data_folders <- map(dois, ~download_d1_data_pkg(.x, path_folder))


The data is a representation of reality. When a value is missing in the piece of data, it makes it less useful and reliable. Every day, articles, a news report about COVID-19 discuss the new cases, recovered cases, and deceased cases. This information gives you a sense of hope or reality or confusion.
Regarding COVID-19, everyone believes or accepts specific details as fact like mortality rate is 2 to 3 percent
, over the age of fifty, the chance of death is 30 to 50 percent
. These are established based on previously affected places, and some details come out of the simulation. The mortality rate, deceased age distribution, patient age distribution, mode of spread differs from region to country. With accurate and complete data, one can understand the situation, make the decision, and update the facts.
Covid19India provides an API to details of all the COVID-19 cases. The dataset for the entire post comes from an API response on 18th April 2020. The APIs endpoints for the analysis are https://api.covid19india.org/raw_data.json
, and https://api.covid19india.org/deaths_recoveries.json
.
When one moves away cumulative data like total cases to specific data like age, gender, the details are largely missing and makes it difficult to comprehend what’s going in the state. For all patients in India, only 11%
of age brackets and 19.2%
of gender details are available.
Analyzing missing data (empty value = “) state-wise reveals how each state reveals data. The below image is a comparison of missing data for the state of Karnataka and Maharashtra.
Looking further into each case, it’s clear, Karnataka officials release date at the individual level such as age bracket, gender, other details in a tabular format(not machine-readable) compared to the State of Maharashtra. Maharashtra releases only cumulative data like the total number of new cases, the total number of recovered patients. Each state follows its format(not so useful). Next to Karnataka, Andhra Pradesh data contains more than 50%
of age bracket and gender. The rest of the states except Kerala, to a certain extent, all have close to 90%
of missing data for gender and age bracket.
With missing data, we can’t identify which age group is dying in Maharashtra, which age group is most affected, does deceased age group vary across all states, is there a state where a considerable amount of young people are dying?
Karnataka Case
If we divide the age bracket in the range of ten like 40 - 50
, all the age groups are more or less equally affected. There is no significant variation. You can also use arbitrary age groups like 0 to 45, 45 to 60, 60 to 75, 75+
as mentioned in the tweet.
The raw_data.json
API provides the status of the patients. The patient’s status change numbers don’t be match compared to the primary web application(covid19india.org).
The patients in the age group 0-10 take more time to recover compared to the rest of the age group. The age group 10-20 less time to recover compared to the rest of the group. The two issues here. First, the dataset is small, only 60 cases. Second, the accuracy of dates makes a considerable difference; i.e dateannounced
and statuschangedata
in the API is crucial. If the data is available for the top three affected states like Maharashtra, Delhi, Gujarat, it would reveal which age group and gender are recovering fast and deceasing, in how many days the acute patients die.
Deceased Case
From the deaths_recoveries.json
API, the age bracket is available for 39.6%
of deceased cases. In Karnataka for
In the available data, the most number of deaths are in the age-group, 40-50 (44 deaths), and 20-30 (25 deaths)
. To get a better picture, one needs to compare with the population distributions as well. Without complete details, it’s challenging to say the age group 20-30
mortality rate is 0.1%
.
The mere number of deceased patients doesn’t represent anything close to reality. Out of 13 deaths
in Karnataka, age bracket and gender are available for 10 cases. All deceased cases are in the age bracket of 65 to 80
, two females and eight males.
The small data suggests all corona related deaths happen with seven days of identification. Is this true for all states?
Conclusion
I’m aware; volunteers maintain the API. Their effort requires a special mention, and by analyzing the two sets of APIs, it’s clear how hard it is to mark patients’ status change. When the Government doesn’t release the unique patient id, it’s confusing, and local volunteer intuition and group knowledge takes over.
Every data points help us to know more about the pandemic. All the state governments need to release the complete data in a useable format. Remember, age and gender are necessary information, with more details like the existing respiratory condition, hospital allocated, the model can help in prioritizing the resources later. There is no replacement for testing and testing early. Without clean data, it’s impossible to track the epidemic and associated rampage. We haven’t seen the cases for re-infection yet. Several other factors contribute to one’s survival, like a place of residence, access to insurance, socioeconomic status. We haven’t moved further from numbers, the details like how crucial is a patient when identified, how each patient is recovering are never released in public.
By furnishing the incomplete data, the Government denies our choice of making an informed decision, and there is no independent verification for the claims on the pattern of the spread. In the prevailing conditions, the only way to understand the scenario is both qualitative and quantity (data) stories.
Code: Age Analysis, Death Recoveries
See also
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


2D DORI maps (DORI( r) = f) in the σ h plane of butadiene with f = 0.99 isocontour in white (left). 3D representation of the parallel-displaced benzene dimer for f = 0.95 (right) with covalent and noncovalent DORI [ f] domains depicted in white and red, respectively. These examples are adapted and reprinted with permission from ref 43 .


US grants final nod for expanded Delta, Air France, Virgin, KLM JV
The expanded joint venture replaces two previously approved arrangements in the US-United Kingdom and US-Continental Europe markets
by ReutersUS Transportation Secretary Elaine Chao on Thursday granted final approval for an expanded trans-Atlantic joint venture for Delta Air Lines Inc, Air France KLM SA and Virgin Atlantic.
Reuters first reported Chao's planned tentative approval of the agreement in August.
The expanded joint venture replaces two previously approved arrangements in the US-United Kingdom and US-Continental Europe markets and will allow for additional benefits such as more options on European flights, Chao said in a statement.


| libxml2 Reference Manual |
|---|
dict - string dictionary
dictionary of reusable strings, just used to avoid allocation and freeing operations.
Author(s): Daniel Veillard
typedef struct _xmlDict xmlDict; typedef xmlDict * xmlDictPtr; void xmlDictCleanup (void); xmlDictPtr xmlDictCreate (void); xmlDictPtr xmlDictCreateSub (xmlDictPtr sub); const xmlChar * xmlDictExists (xmlDictPtr dict,
const xmlChar * name,
int len); void xmlDictFree (xmlDictPtr dict); size_t xmlDictGetUsage (xmlDictPtr dict); const xmlChar * xmlDictLookup (xmlDictPtr dict,
const xmlChar * name,
int len); int xmlDictOwns (xmlDictPtr dict,
const xmlChar * str); const xmlChar * xmlDictQLookup (xmlDictPtr dict,
const xmlChar * prefix,
const xmlChar * name); int xmlDictReference (xmlDictPtr dict); size_t xmlDictSetLimit (xmlDictPtr dict,
size_t limit); int xmlDictSize (xmlDictPtr dict); int xmlInitializeDict (void);
struct _xmlDict { The content of this structure is not made public by the API. } xmlDict;
void xmlDictCleanup (void)
DEPRECATED: This function is a no-op. Call xmlCleanupParser to free global state but see the warnings there. xmlCleanupParser should be only called once at program exit. In most cases, you don't have call cleanup functions at all.
xmlDictPtr xmlDictCreate (void)
Create a new dictionary
| Returns: | the newly created dictionary, or NULL if an error occurred. |
xmlDictPtr xmlDictCreateSub (xmlDictPtr sub)
Create a new dictionary, inheriting strings from the read-only dictionary @sub. On lookup, strings are first searched in the new dictionary, then in @sub, and if not found are created in the new dictionary.
| sub: | an existing dictionary |
| Returns: | the newly created dictionary, or NULL if an error occurred. |
const xmlChar * xmlDictExists (xmlDictPtr dict,
const xmlChar * name,
int len)
Check if the @name exists in the dictionary @dict.
| dict: | the dictionary |
| name: | the name of the userdata |
| len: | the length of the name, if -1 it is recomputed |
| Returns: | the internal copy of the name or NULL if not found. |
void xmlDictFree (xmlDictPtr dict)
Free the hash @dict and its contents. The userdata is deallocated with @f if provided.
| dict: | the dictionary |
size_t xmlDictGetUsage (xmlDictPtr dict)
Get how much memory is used by a dictionary for strings Added in 2.9.0
| dict: | the dictionary |
| Returns: | the amount of strings allocated |
const xmlChar * xmlDictLookup (xmlDictPtr dict,
const xmlChar * name,
int len)
Add the @name to the dictionary @dict if not present.
| dict: | the dictionary |
| name: | the name of the userdata |
| len: | the length of the name, if -1 it is recomputed |
| Returns: | the internal copy of the name or NULL in case of internal error |
int xmlDictOwns (xmlDictPtr dict,
const xmlChar * str)
check if a string is owned by the dictionary
| dict: | the dictionary |
| str: | the string |
| Returns: | 1 if true, 0 if false and -1 in case of error -1 in case of error |
const xmlChar * xmlDictQLookup (xmlDictPtr dict,
const xmlChar * prefix,
const xmlChar * name)
Add the QName @prefix:@name to the hash @dict if not present.
| dict: | the dictionary |
| prefix: | the prefix |
| name: | the name |
| Returns: | the internal copy of the QName or NULL in case of internal error |
int xmlDictReference (xmlDictPtr dict)
Increment the reference counter of a dictionary
| dict: | the dictionary |
| Returns: | 0 in case of success and -1 in case of error |
size_t xmlDictSetLimit (xmlDictPtr dict,
size_t limit)
Set a size limit for the dictionary Added in 2.9.0
| dict: | the dictionary |
| limit: | the limit in bytes |
| Returns: | the previous limit of the dictionary or 0 |
int xmlDictSize (xmlDictPtr dict)
Query the number of elements installed in the hash @dict.
| dict: | the dictionary |
| Returns: | the number of elements in the dictionary or -1 in case of error |


Billy Connolly looks a picture of health as he runs down a Florida street
The 77-year-old funnyman is living with Parkinson’s and had prostate surgery following a cancer diagnosis but that hasn't stopped the Scot pounding the pavements in America
by Sam Elliott, https://www.mirror.co.uk/authors/sam-elliott/Battling Billy Connolly looks fit as a fiddle in a video that will delight his millions of fans.
The comedian, 77, was diagnosed with Parkinson’s in 2013 and admitted recently the disease was taking a hold.
But the Big Yin's wife Pamela Stephenson posted a clip of her husband breaking into a sprint along a street on their break in America.
The Scot looked a picture of health as he was snapped running in Florida Keys with a big smile on his face.
She captioned the video: "Billy’s doing soooo well! Caught him running just now!"
He told Chris Evans recently that he has "started to droll" because of his condition.
The Big Yin said: “This disease, it gives you a new thing to deal with every now and again. I walk unsteady.
“I’ve started to drool. That’s a new one for me!”
“A doctor in America told me it’s incurable and I said, ‘get a grip on yourself, say we’ve yet to find a cure’, give a man a light at the end of the tunnel. Incurable is such an awful thing to say to somebody.”
Sir Billy recently told the Daily Record that he wasn't sure if he could perform in his current "state of mind".
Judging by today's video, funnyman he looks like he's still on top form.
He also said last week he was trying to find a bed that throws him out in the morning .
The comedy legend said he’d love to find an alarm clock similar to one created by his hero – Dunbar-born naturalist John Muir.


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 6 large millefeuille
Dietary
Thin, crisp pastry is the key to these pretty French pastries and Paul Hollywood is the man to show you how.
For this recipe you will need: a sugar thermometer, 6 large baking trays and a ruler.
For the rough puff pastry, mix the flour and salt together in a bowl. Rub in the chilled butter using your fingertips until the mixture resembles breadcrumbs. Gradually add enough water to form a dough (about 4-6 tablespoons water).
On a lightly floured work surface, roll the dough out into a rectangle.
Grate half of the frozen butter over the bottom two-thirds of the dough. Fold down the top third and fold up the bottom third as if folding a letter.
Turn the folded dough by 90 degrees and roll it out into a rectangle again. Repeat the process of adding the remaining frozen butter and fold as before. Wrap the dough in cling film and leave to rest in the fridge for 30 minutes before using.
For the jam, put the raspberries in a small, deep pan with the sugar and cook over a low heat until the sugar has melted. Bring to the boil and boil vigorously for 4 minutes, or until the temperature on a sugar thermometer reaches 104C (this is the setting point). Remove from the heat and stir in the knob of butter. Transfer to a large bowl and leave to set.
Preheat the oven to 220C/200C Fan/Gas 7. Line 3 large baking trays with baking parchment. Divide the pastry into 3 equal pieces and roll each piece to a 30x23cm/12x9in rectangle, about 5mm thick. Then place each pastry rectangle onto the lined baking trays and chill for 10-15 minutes. Dust heavily with icing sugar.
Place a sheet of baking parchment on top of each sheet of rolled pastry and place a large baking sheet on top. Bake the pastry sheets for 10-15 minutes, or until golden-brown and crisp. Set aside to cool.
For the sugar syrup, bring the sugar and 50ml/2fl oz water to the boil in a small pan and cook for 1 minute. Remove from the heat and leave to cool.
For the icing, roll the white fondant into a 20x15cm/8x6in rectangle. Roll the pink icing into a 10x15cm/4x6in rectangle. Cut the pink icing into 10 strips, each 1cm/½in wide and 15cm/6in long.
Lay the pink strips on top of the white icing (the pink strips should be the same length as the short edge of the white rectangle), ensuring they are evenly spaced with approximately 1cm/½in between each strip. Roll over them with a rolling pin to fix the stripes in place.
Cut out 6 neat rectangles from the striped icing, each measuring 12x5cm/4½x2in and with the stripes facing the same way, so the tops of the millefeuille match. Set aside.
When the pastry has cooled, cut six 12x5cm/4½x2in rectangles of pastry from each sheet of baked rough puff, so you have 18 pastry rectangles.
For the Chantilly, whisk the cream, icing sugar and vanilla to soft peaks. Spoon into a disposable piping bag.
To assemble, set aside 6 pastry rectangles. Spread a thin layer of jam over the remaining pastry rectangles. Snip the end off the piping bag and pipe a blob of cream in a corner of one of the pastry rectangles. Sit a raspberry next to it and continue piping cream with alternating raspberries until the pastry is covered. Repeat this process on the remaining the pastry rectangles.
Sit the rectangles on top of each other so you have 6, double-layered pastries, topped with raspberries and cream.
To decorate, brush sugar syrup over the reserved 6 pastry rectangles and stick the striped fondant rectangles to the pastry. Place on top of the raspberries and cream and brush with more sugar syrup to glaze. Store in the fridge until ready to serve.
You need JavaScript to view this clip.
Rubbing in


Afghanistan
Albania
Argentina
Australia
Azerbaijan
Bangladesh
Belgium
Bolivia
Bosnia and Herzegovina
Brazil
Bulgaria
Bulgarian Association for the Promotion of Citizens' Initiative
Burkina Faso
Cambodia
Cameroon
Canada
Chile
Colombia
Costa Rica
Croatia
Czech Republic
Democratic Republic of the Congo
Denmark
Ecuador
Egypt
Estonia
European Union
Finland
France
Georgia
Germany
Ghana
Greece
Guatemala
Haiti
Hong Kong
Hungary
India
Indonesia
Iran
Iraq
Ireland
Isle of Man
Israel
Italy
Jordan
Kenya
Social Development Network (SODNET)
Kosovo
Kuwait
Kuwait Transparency Society
Kyrgyzstan
Latin America
Latvia
Lebanon
Liberia
Development and Education Initiatives (DEVEIN)
Institute for Research and Democratic Development (IREDD)
Liberia Democracy Watch
Lithuania
Luxembourg
Macedonia
Malawi
Malaysia
Mexico
Montenegro
Morocco
Nepal
Netherlands
Nigeria
Norway
Pakistan
Paraguay
Peru
Poland
Portugal
Romania
Russia
Serbia
Slovakia
South Africa
South Korea
Spain
Switzerland
Taiwan
Tunisia
Uganda
Ukraine
United Kingdom
United States
Uruguay
Venezuela
Yemen
Zimbabwe


Channels are like mini Game Jolts. Find and discover games around specific interests.
Every day we pick a handful of games that we think you may like!
{{ ::'discover.home.hot_help' | translate }}
You can now support your favorite indie devs by buying their games directly on Game Jolt!
Discover and follow games that are actively being worked on.
{{ ::'discover.home.fireside_help' | translate }}


* Dev Newb *
Home
Portfolio
Resources
I earned my degrees in history and theological studies. Never thought I'd get into tech, or that I had the abilities to get into tech, but here I am! I'm particularly interested in front-end dev, and plan on learning some design skills post DBC. HTML, CSS, Javascript, Sass, and PHP are going to be my jam.
Excited to start on a new adventure.
Contact me!
First Name:
Last Name:
E-mail:
Experience Level:
Newbie
Intermediate
Experienced coder
Submit


Timing copy number changes using estimates of mutational allele frequency from resequencing of tumor samples.
| Version: | 3.1.8 |
| Depends: | R (≥ 2.11.0) |
| Imports: | utils, stats, grDevices, graphics, LearnBayes, gplots |
| Suggests: | GenomicRanges, IRanges, S4Vectors |
| Published: | 2016-04-03 |
| Author: | Elizabeth Purdom |
| Maintainer: | Elizabeth Purdom <epurdom at stat.berkeley.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | cancerTiming results |
| Reference manual: | cancerTiming.pdf |
| Package source: | cancerTiming_3.1.8.tar.gz |
| Windows binaries: | r-devel: cancerTiming_3.1.8.zip, r-release: cancerTiming_3.1.8.zip, r-oldrel: cancerTiming_3.1.8.zip |
| OS X binaries: | r-release: cancerTiming_3.1.8.tgz, r-oldrel: cancerTiming_3.1.8.tgz |
| Old sources: | cancerTiming archive |
Please use the canonical form https://CRAN.R-project.org/package=cancerTiming to link to this page.


Table of contents
Overview of the EUCP JupyterHub
The EUCP JupyterHub is based directly on the standard JupyterHub architecture: it runs the JupyterHub server, proxied through the Nginx webserver. The Nginx webserver also proxies (and password protects) the THREDDS server, and serves these help pages.
The user environment chosen for the JupyterHub is not the default Jupyter notebook, but the JupyterLab setup. This all runs directly in your webbrowser. JupyterLab includes the default notebooks (and one can revert to this layout if so wanted), but makes navigating files and folders hopefully easier. A terminal interface is also included, which allows access to other utilities; this may be shell (bash) tools, the GNU Fortran compiler or the CDO utilities. (Note for Safari users: a bug results in black font on a black background when using the terminal, making it unusable. This is known and the first new JupyterHub release will fix this. For now, the best work-around is to use a different browser.)
The JupyterHub runs a Docker container for each logged-in user. This separates the current user completely from other users and the system (but see below) This container is derived from the standard Jupyter datascience notebooks, which can run Python 3, R or Julia, and have a suite of (default) packages installed for these languages. For Python, we have extended the list of packages with a set suitable for climate analysis.
In addition, the container provides command-line utilities used in climate science. The latter are often added to make transitioning to, for example, a complete Python script easier: this aims to make the resulting analysis scripts and notebooks more transparent to other users (once published) and more portable to other machines and architectures (Python, but also R and Julia, support a wide variety of architectures).
Logging in, sessions and kernels
If you log in through the default webpage login, your session remains saved behind the scenes.
If you quit your browser or close the tab, a next time you navigate to the JupyterHub, you don’t need to log in again: you are still logged in.
This doesn’t work across browsers or private sessions (that is, it relies on cookies), so this may be something to be aware of if you don’t want others to be able to access your work.
There is an explicit log-out option: navigate to File → Log Out
.
Sometimes, you may need to restart your Jupyter server. This can be done explicitly by going to the "control hub" (File → Hub Control Panel
).
From the control hub, you can stop your current server, then restart it again.
This won’t affect your (saved) files at all: it only affects running notebooks (they will be interrupted), but the full session will still be there.
Navigate back through My Server
.
A server restart is sometimes necessary if, after logging in, the JupyterLab interface doesn’t appear. JupyterHub will normally inform you, and suggest to restart the server (by stopping and then starting it). This may happen if there have been some changes on the hosting machine or to the Docker container (such as additional packages).
Sessions
Even if you explicitly log out (or just close the browser tab), your session will remain running on the hosting machine (inside the Docker container). This is useful for long-running jobs: they can continue over the weekend, for example.
Be aware that, when running a job (cell) in a notebook and you log out, the output may be lost. In particular, output that would be sent to an output cell, will be lost. The solution is to assign the output to a variable. Once the job (cell) is finished, and you are logged back in, printing the variable by itself will contain the output. (Alternatively, you can save the output to a file, but I personally prefer keeping it around in a variable: I often have to use the data again, and with a variable, it is immediately accessible.)
The same holds for running something in the terminal: make sure you redirect your output to a file to save the output.
Note that, when logging back in, a cell may still indicate it is active (with the [*]
in front of it): this may not have to be the case, so try outputting the variable with the saved results in a new cell (e.g., directly below the running cell): if you get a result, the active cell is actually ready, and it’s state indicator has become stale.
This is all very similar (effectively the same) as logging in via ssh to a machine, starting a job, putting it in the background (probably with disown
as well) and then existing that machine: the output would be lost there as well, if it’s not redirected.
Kernels
Each session can run multiple "kernels".
A kernel here is simply an instance of a notebook or terminal, and under the hood this means, for example, a separate Python process (for each notebook opened).
A kernel can be restarted (Kernel → Restart kernel…
): this will not affect any other notebooks running, so this is safe to do for a specific notebook; it can be useful if the current notebook is somehow in a state that makes it hard to continue (for example, plot settings have changed due to going back and forth between individual cells).
Restarting a kernel will cause all imports, variable settings, functions definitions etc. for the notebook to be reset as well: it provides a completely new Python/R/Julia environment.
If you installed a package yourself, you will need to restart the kernel for the package to be found. Note that self-installed packages will disappear if the Jupyter server itself is restarted.
Access to data and other users directories
A Docker container completely separates its contents (and logged-in user) from the environment it runs in, as a separate machine.
For practical reasons, it is possible to provide "mount points" to directories on the hosting machine.
In this case, there are two such mount points provided, visible as directories: _data
and _users
.
The first directory, _data
, leads directly to the data hosted on the system that is also served by the THREDDS server.
This provides another way (than using the THREDDS server) to read the data.
Some subdirectories are only accessible depending on user’s the work package: the system uses Unix-style group access to restrict access to data directories that are specific to certain work packages.
Similarly, the _users
directory points to the base home directory of all users on the system.
Again, access restrictions based on group access (work packages and institutions) are in place.
If you find anything incorrect with the access restrictions, please let us know at<EMAIL_ADDRESS>Parallel and asynchronous tasks
Running tasks in parallel or asynchronous is possible, to a certain point.
For Python, a package like dask
is installed, which can make this very intuitive.
However, the system does not automatically scale with changing load: if a task is run on all its cores, other processes (including other users) will suffer.
We can’t, at the moment, support something like Pangeo does (Pangeo also uses a JupyterHub in the cloud, built on top of Kubernetes), where a compute-intensive tasks is spun off in its own container, and returns when its ready, removing the container (and CPU requirements) as well.
The reason for this is that our hosting platform, the SURFSara HPC Cloud, unfortunately does not support Kubernetes. Without that, it is very hard to easily scale the number of requires (CPU) resources up or down. (Pangeo, for example, uses the Kubernetes architecture under the hood for its scaling.)
It is possible that this will be supported in the future (in which case we may transition to Pangeo), but this requires quite some work to set this up on our current hosting platform.
list of Python packages and command-line utilities installed
All packages are for Python 3.7.3.
You can install packages yourself using pip (pip install <package>
) or conda (conda install <package>
); there is no sudo
or --user
option needed.
You can get a full list of Python packages in the terminal interface, with pip list
. Below is a selected list:
-
Standard scientific packages
-
numpy 1.15.4
-
scipy 1.2.1
-
pandas 0.24.2
-
scikit-learn 0.20.3
-
scikit-image 0.14.3
-
statsmodels 0.9.0
-
Cython 0.29.12
-
sympy 1.3
-
numba 0.42.1
-
numexpr 2.6.9
-
dask 1.1.5
-
Pillow 6.1.0
-
-
Plotting
-
matplotlib 2.2.4
-
seaborn 0.9.0
-
Cartopy 0.17.0
-
-
Climate analysis packages
-
xarray 0.10.7
-
pyproj 2.2.1
-
scitools-iris 2.2.1dev0
-
cf-units 2.1.3 (used by iris)
-
cfunits 3.1.1 (used by cf/cf-plot)
-
cfdm 1.7.7
-
cf-python 3.0.0b5
-
cf-plot 2.4.10 (unsupported; best attempt at conversion
-
cftime <IP_ADDRESS>
-
eofs 1.4.0
-
cdo 1.5.3 (Python interface to CDO)
-
CMOR 3.5.0
-
ESMPy 7.1.0dev0
-
ESMValCore 2.0.0b0
-
GDAL 2.4.2 (Python interface to libgdal)
-
-
Data formats
-
netCDF4
-
h5py 2.9.0
-
-
Other
-
SQLAlchemy 1.3.5
-
requests 2.22.0
-
beautifulsoup4 4.7.1
-
yamale 1.7.0
-
Command line tools
Be aware that there is no X-windows or other window interface; all utilites have to be run without displaying windows or images.
-
Generic utilities
-
bash 4.4.20
-
zsh 5.4.2
-
tcsh 6.20.0
-
perl 5.26.1
-
python 3.7.3
-
git 2.17.1
-
TeXLive 2017
-
gnuplot 5.2
-
imagemagick 6.9.7-4
-
-
Climate science utilities
-
cdo 1.9.6
-
grads 2.2.0
-
ncl 6.4.0
-
pcraster 4.1
-
-
Compilers and tools
-
gcc / g++ / gfortran 7.4.0
-
cmake 3.10.2
-
make 4.2.1
-


Hi We have recieved your details.Your Email address is and your phone number is Your license plate is We are going to use these details to contact you.Thank you


Home > Get Ahead > Careers
> Cracking CAT
CAT: A reality
check
Promod Radhakrishnan |
September 22, 2004
Get Ahead has
invited
readers who have
successfully cracked the Common Aptitude Test to share their tips/mantras
for success. These CAT tips -- from among the many we have received -- is
the first in a series of reader-driven articles.
he first myth
about CAT -- and about most other competitive exams -- is: 'It's too
difficult to crack; it's beyond my ability'.
I'd suggest you dump the self-deprecation and take a reality check on
what CAT is all about.
CAT's tough? Think again!
CAT is not about testing whether your English is as good as the
Queen's.
CAT is not about cracking rocket science math formulae.
CAT is definitely not about testing your statistical prowess.

All of the above require only sound matriculate/higher
secondary level academic grooming.
Which leaves you with no excuse to hide behind the 'CAT is tough'
routine.
Having said that, not everyone makes it. Of the 80,000 or so who
attempt the exam, only 5,000 odd get calls from the institutions.
What sets the winners apart is their sheer perseverance and the
sustained practice they have put in over a three to six month
period.
Step-by-step method
Start with assessing your skills. Keep in mind this basic thumb rule: a
good score would require 80 per cent in the Verbal/Reading Comprehension
sections and 60 per cent or above in the Math and Data Interpretation
sections.
Find your weakest areas and strengthen them. Revise your learning
material, if any. Do several practice tests and monitor your progress
continuously.
Set targets for scores. Monitor your progress and the time you take to
reach your target. This is critical because it will keep you motivated and
ensure you continue to focus on your goal.
Once you are comfortable with your mastery over the various sections,
start with full-length mock tests. From now until November 21 -- the date
CAT will be held this year -- aim to tackle at least 25 mock tests.
After five such mock tests, assess your strong areas. Brush your basics
if necessary. This way, you know your progress and can track your scores.
Take at least five or six public mock CAT tests like the ones conducted
by IMS, TIME, Career Forum, Career Planner, etc. You need to score in the
top five to 10 percentile to have a realistic chance at cracking CAT.
The last week before CAT is the final dress rehearsal. Do around three
mock tests. This time, use them to get into the 'flow' for the actual
test, not to assess your strengths and weaknesses. Now is the time to feel
confident about yourself and your level of preparation!
Tips, tips, tips!
Look for 'short cut approaches' to math problems. Read the learning
material over and over. You will surely find your own 'tricks' of the
trade.
Develop your own short-cut formulae for attacking certain problem types
that are generally repeated in CAT.
Develop fluency in solving the 'some cats are dogs, all dogs are cows'
kind of questions in the English grammar and vocabulary section. The more
fluent you are in these, the more time you will get for solving other
questions!
Read a lot of magazines and newspapers from now till D-day -- this will
help you in both the Reading Comprehension section and during the
GDs/interviews.
Devote a balanced amount of time to each section. You need a good
overall scorecard -- not 40 per cent in Math and two per cent in
Vocabulary and Reading Comprehension!
Last but not least, remember these suggestions are just thumb rules and
tips -- there are no magic formulae to acing this test.
But CAT is not about selecting the best rocket scientist anyway.
Managers need to have good all round skills and planning ability.
That's what you need to crack CAT. All the best!
Promod Radhakrishnan, a banking consultant with Cognizant
Technology Solutions, holds an MBA from the Indian Institute of
Management, Lucknow (batch of 2000). He appeared for the CAT examination
in 1997.


Use the following parameters to configure the task:
verbose: [optional] flag marking the task verbosity [true / false]
properties: [optional] path to a properties file when user-defined annoations are to be used
destdir: [optional unless input classes are in more than one path] directory where to put annnotated class files
copytodest: [optional] filename pattern to copy extra resources like dtd, xml, or properties files that were found
in the input classes path(s). By defaults, only ".class" files will be handled. It is ignored if "destdir" is not set.
Use the following parameters to configure the classpath to point to the classes to be weaved. Those can be specified
with nested elements as well / instead:
properties path=..: extra path to a properties file when user-defined annoations are to be used
classpath: classpath of classes to annotated, as well as classpath to discover user-defined annotations if any
classpathref: classpath reference of classes to annotated, as well as classpath to discover user-defined annotations if any
srcdir: directory where to find annotated java source files
sourcepath: path where to find annotated java source files
sourcepathref: path reference where to find annotated java source files
Nested elements are similar to the "javac" task when you configure a classpath and a sourcepath:
classpath: Path-like structure of classes to annotated, as well as classpath to discover user-defined annotations if any
src: single path entry of annotated java source files
sourcepath: Path-like structure of annotated java source files
fileset: fileset to contain annotated java source files


To follow-up on this item Reporting & Analytics {{user}} {{_roleChanged(role)}} Pulse ▹ Dashboards Templates Visualizations CX Insigths ▹ Dashboards Reporting & Analytics


The newsletter of the University of Oregon UO College of Education newsletter
A government-sponsored initiative within the Kingdom of Saudi Arabia will lead to more inclusive schools, thanks to a collaboration with the COE.
Nov. 25
Governor's Summit to Reduce Disproportionate Minority Contact in the Juvenile Justice System
Nov. 29
Civil War (UO vs. OSU)
Dec. 3
CEQP Symposium: Running from Peril, Chasing Hope
Dec. 5
Last day of fall classes
O heroes turn out in support of ASL event
COE clusters of excellence featured in Eugene Register-Guard
Diane Ravitch reviews Yong Zhao's new book in New York Review
Madam Dr. President: COE awards first doctorate in new program
Common Core's "new math" explained (very well)
It's No Joke: Humor Rarely Welcome in Research Write-Ups
Twitter increasingly being used in education
How a new font and dictionary is hoping to help the world's dyslexic population
50 ways to bring current events into the classroom
After nearly half a century, the COE's High School Equivalency Program closed its doors. Learn what it meant to the community, why it matters, and what comes next.


orchestrator-agent is a side-kick, complementary project of orchestrator, implementing a daemon service on one's MySQL hosts which communicates with and accepts commands from orchestrator, built with the original purpose of providing an automated solution for provisioning new or corrupted slaves.
It was built by Outbrain, with Outbrain's specific use case in mind. While we release it as open source, only a small part of its functionality will appeal to the public (this is why it's not strictly part of the orchestrator project, which is a general purpose, wide-audience solution). Nevertheless, it is a simple implementation of a daemon, such that can be easily extended by the community. The project is open for pull-requests!
A quick breakdown of orchestrator-agent is as follows:
- Executes as a daemon on linux hosts
- Interacts and invokes OS commands (via bash)
- Does not directly interact with a MySQL server running on that host (does not connect via mysql credentials)
- Expects a single MySQL service on host
- Can control the MySQL service (e.g. stop, start)
- Is familiar with LVM layer on host
- Can take LVM snapshots, mount snapshots, remove snapshots
- Is familiar with the MySQL data directory, disk usage, file system
- Can send snapshot data from a mounted snapshot on a running MySQL host
- Can prepare data directory and receive snapshot data from another host
- Recognizes local/remote datacenters
- Controlled by orchestrator, two orchestrator-agents implement an automated and audited solution for seeding a new/corrupted MySQL host based on a running server.
Offline, hard-copy backups aside, Outbrain implements quick backups via LVM snapshots. Some slaves (depending on strength, datacenter etc.) take the role of snapshot servers. These slaves take an LVM snapshot once per day, and keep it open unmounted. At any given time we might have multiple open snapshots on a snapshot server. At a few minutes notice, we are able to restore MySQL to yesterday's, the day before, two days before, ... state. This only takes mounting of the desired snapshot and starting MySQL over the mounted volume.
We've in fact put this method to practice in at least one major occasion last year, that proved it to be of significant worth: we were able to fix a compromise to some dataset within minutes of action.
But we also use these snapshots on a daily basis, putting them constantly to practice (hence validating this backup method routinely): we provision new MySQL servers based on those snapshots. A new or corrupted server can be seeded with a snapshot data (preferably from a host in same datacenter). We don't need to perform a backup now. We can take the one from tonight.
There is some fuss around this: need to verify MySQL not running on target host, clean up the target host, choose the best source host, choose the best snapshot on source host, mount it, deliver the data, accept the data, do post-copy cleanup, start the MySQL service on target host, ... Or we might choose to actually do take a fresh, immediate snapshot from a server not configured as snapshot server... We used to do all these by shell scripts, but realized this will not sustain us.
Orchestrator-agent was invented with this particular use case in mind, and orchestrator was extended to support these operations. Orchestrator can act as the controller of a seed/provisioning operation, getting info from/to orchestrator-agent and coordinating two agents to send/receive the data.
The agent still relies on some external commands (via bash) to implement some functionality; to some extent, we have broken down complex shell scripts then wrapped again, now controlled and audited by the agent; but this will slowly change as we move more code into orchestrator-agent itself.
Should you use orchestrator-agent?
If, like us, you use LVM snapshots, at least as a partial form of backup - bingo!
Otherwise, orchestrator-agent can assist in stopping/starting the MySQL service, tailing the error log; simple stuff like that -- probably too much fuss for such basic operations.
But it can be easily extended to support other forms of backup (though do note that orchestrator-agent does not and should not perform scheduled backups, merely manipulate them); so if you like to contribute code into orchestrator-agent, please let us know! It would be nice to have a solution that works for multiple use cases.
Get it
orchestrator-agent is released under the Apache 2.0 license, and is free to use.
Pre-compiled, RPM and deb packages can be found on the releases page.
comments powered by Disqus


--- layout: post title: Kicksend in the Developer Sandbox at Google I/O 2013 date: 2013-05-14 06:12:37.000000000 -07:00 type: post published: true status: publish categories: [] tags: - kicksend meta: {} author: ---
https://developers.google.com/events/io/developer-sandbox#t-google


Brief description of what this article accomplishes. Include any keywords indicated in the spreadsheet. This blurb will not appear with the content.
Difficulty: 1
Time: 5 minutes
This article guides you through installing and starting Nginx on CentOS or Fedora.
Nginx is now running as a web server. To verify, you can use your browser to navigate to the IP address of your cloud server; for example, http://IP Address of your cloudserver
.
You have just installed Nginx. Next, you may want to add any of the following:


Required
A Fortran compiler such as gfortran
In order to compile NDPP, you will need to have a Fortran compiler installed on your machine. Since a number of Fortran 2003/2008 features are used in the code, it is recommended that you use the latest version of whatever compiler you choose. For gfortran, it is necessary to use version 4.6.0 or above.
If you are using Debian or a Debian derivative such as Ubuntu, you can install the gfortran compiler using the following command:
sudo apt-get install gfortran
Optional
An MPI implementation for distributed-memory parallel runs
This feature is not yet implemented*
To compile with support for parallel runs on a distributed-memory architecture, you will need to have a valid implementation of MPI installed on your machine. The code has been tested and is known to work with the latest versions of both OpenMPI and MPICH. Note that if using OpenMPI, make sure that –with-mpi-f90-size is not set to medium or large since this may prevent MPI calls from completing successfully in NDPP. OpenMPI and/or MPICH can be installed on Debian derivatives with:
sudo apt-get install mpich2 libmpich2-dev
sudo apt-get install openmpi1.6-bin libopenmpi1.6-dev
HDF5 Library for portable binary output format
To compile with support for HDF5 output (highly recommended), you will need to have HDF5 installed on your computer. The installed version will need to have been compiled with the same compiler you intend to compile NDPP with.
git version control software for obtaining source code
All NDPP source code is hosted on GitHub. You can download the source code directly from GitHub or, if you have the git version control software installed on your computer, you can use git to obtain the source code. The latter method has the benefit that it is easy to receive updates directly from the GitHub repository. With git installed and setup, the following command will download the full source code from the GitHub repository:
git clone git@ndpp.org:ndpp/ndpp.git
By default, the cloned repository will be set to the development branch. To switch to the source of the latest stable release, run the following commands:
cd ndpp/src
git checkout master
All configuration for NDPP is done within the Makefile located in src/Makefile. In the Makefile, you will see that there are a number of User Options which can be changed. It is recommended that you do not change anything else in the Makefile unless you are experienced with compiling and building software using Makefiles. The following parameters can be set from the User Options sections in the Makefile:
It is also possible to change these options from the command line itself. For example, if you want to compile with DEBUG turned on without actually change the Makefile, you can enter the following from a terminal:
make DEBUG=yes
To compile NDPP on Linux or Max OS X, run the following commands from within the root directory of the source code:
cd src
make
sudo make install
This will build an executable named ndpp and install it (by default in /usr/local/bin).
One option for compiling NDPP on a Windows operating system is to use Cygwin, a Linux-like environment for Windows. You will need to first install Cygwin. When you are asked to select packages, make sure the following are selected:
If you plan on obtaining the source code directly using git, select the following packages:
In order to use the Python scripts provided with NDPP, you will also need to install Python. This can be done within Cygwin or directly in Windows. To install within Cygwin, select the following packages:
Once you have obtained the source code, run the following commands from within the source code root directory:
cd src
make
This will build an executable named ndpp.
An alternate option for installing NDPP on Windows is using MinGW, which stands for Minimalist GNU for Windows. An executable for installing the MinGW distribution is available on SourceForge. When installing MinGW, make sure the following components are selected:
Once MinGW is installed, copy the NDPP source distribution to your MinGW home directory (usually C:\MinGW\msys\1.0\home\YourUsername). Once you have the source code in place, run the following commands from within the MinGW shell in the root directory of the NDPP distribution:
cd src
make
This will build an executable named ndpp.
In order to run a simulation with NDPP, you will need cross section data for each nuclide in your problem. Since NDPP uses ACE format cross sections, you can use nuclear data that was processed with NJOY, such as that distributed with MCNP or Serpent. Several sources provide free processed ACE data as described below. The TALYS-based evaluated nuclear data library, TENDL, is also openly available in ACE format.
In the following discussion, note that the cross_sections.xml file can be the same as is used by OpenMC. Therefore, these steps can be skipped if OpenMC is currently installed on the system.
The NNDC provides ACE data from the ENDF/B-VII.1 neutron and thermal scattering sublibraries at four temperatures processed using NJOY. To use this data with NDPP, a script is provided with NDPP that will automatically download, extract, and set up a configuration file:
cd ndpp/data
python get_nndc_data.py
At this point, you should set the CROSS_SECTIONS environment variable to the absolute path of the file ndpp/data/nndc/cross_sections.xml.
The NEA provides processed ACE data from the JEFF nuclear library upon request. A DVD of the data can be requested here. To use this data with NDPP, the following steps must be taken:
Copy and unzip the data on the DVD to a directory on your computer.
In the root directory, a file named xsdir, or some variant thereof, should be present. This file contains a listing of all the cross sections and is used by MCNP. This file should be converted to a cross_sections.xml file for use with NDPP. A Python script is provided in the NDPP distribution for this purpose:
ndpp/src/utils/convert_xsdir.py xsdir31 cross_sections.xml
In the converted cross_sections.xml file, change the contents of the <directory> element to the absolute path of the directory containing the actual ACE files.
Additionally, you may need to change any occurrences of upper-case “ACE” within the cross_sections.xml file to lower-case.
Either set the <cross_sections> Element in a settings.xml file or the CROSS_SECTIONS environment variable to the absolute path of the cross_sections.xml file.
To use cross sections distributed with MCNP, change the <directory> element in the cross_sections.xml file in the root directory of the NDPP distribution to the location of the MCNP cross sections. Then, either set the <cross_sections> Element in a settings.xml file or the CROSS_SECTIONS environment variable to the absolute path of the cross_sections.xml file.
To use cross sections distributed with Serpent, change the <directory> element in the cross_sections_serpent.xml file in the root directory of the NDPP distribution to the location of the Serpent cross sections. Then, either set the <cross_sections> Element in a settings.xml file or the CROSS_SECTIONS environment variable to the absolute path of the cross_sections_serpent.xml file.
Once an NDPP input file has been created (see Writing XML Input Files), you can either run the ndpp executable directly from the directory containing your XML input files, or you can specify as a command-line argument the directory containing the XML input files. For example, if the path of your NDPP executable is /home/username/ndpp/src/ndpp and your XML input files are in the directory /path/to/somemodel, one way to run the simulation would be:
cd /path/to/somemodel
ndpp
Alternatively, you could run from any directory:
ndpp /path/to/someplace
Note that in the latter case, any output files will be placed in the present working directory which may be different from /path/to/somemodel.


Tools/Languages Used: C++
For this homework assignment, I implemented a program that was similar to the Spotlight feature on Macs or the grep command line tool on linux systems. I had to choose a data structure to hold the all the files in a directory that was passed in to my program via the command line. That structure needed to be optimal for searching through and finding keywords that a user could use to search. I needed to search throught he given directory and return all the instances of the keyword that I saw. I chose to use a hash table to implement this program because of the optimal constant time complexity of O1. This allowed me to quickly build a table with all the files and thir lines and then quickly search that table for they keywords.
Tools/Languages Used: C++
For this assignment, I implemented a Reverse Polish Notation Calculator similar to the one seen on the Linux system. The assignment called for us to implement a stack class for the calculator and we had our choice of how we would implement the stack. I chose to use a resizable array because it was more manageable for me to keep track of end positions instead of pointers. This project helped me understand more about abstract data types like stacks along with gurther practice with object-oriented programming.
Tools/Languages Used: C++
With this homework, I implemented a variety of sorts and wrote about their time complexities. I chose to implement an insertion sort, a quick sort, and a shell sort. The sorts were tested with various types of data in order to ensure the functionality of my sort programs. This homework helped me learn more about time complexity as I had to also explain my estimates for which sort would be the fastest and which sorts could have corresponded to certain times for sorrting lists. I also had to explain the best, worst, and average cases for each sort.
Tools/Languages Used: C
For this homework, I worked with a partner to implement an unboxed, polymorphic 2 dimensional array and use it in various ways. For the first part, we created an the interface for our abstract data type, along with the implementation. Then, we used that idea to creare a 2 dimensional bit vector abstraction. We used the unboxed array interface to create a sudoku board validator. For the 2d bit vector, we used that to create a program that took out black edges in pictures and scanned images/files. In order to make this work, my partner and I implemented a breadth-first search using a stack so that we could go through the image and search for black edge pixels without risking a stack overflow with recursion.


---
layout: page
title: Team Members
article_header:
type: cover
image:
src: /assets/images/cover/people-cover.png
articles:
show_excerpt: true
show_readmore: true
---
{%- include article-list.html articles=site.staff_members type='grid' -%}
{%- include article-list.html articles=site.gradstd type='grid' -%}
{%- include article-list.html articles=site.phdstd type='grid' -%}
{%- include article-list.html articles=site.ra type='grid' -%}
{%- include article-list.html articles=site.visitingstd type='grid'-%}
{%- include article-list.html articles=site.alumni type='grid'-%}


[§321-412] Indoor air quality program. There is established an indoor air quality program within the department. The department may place this program within any appropriate division. [L 1994, c 234, pt of §2]


| Total net profit | 432.74 | Gross profit | 649.78 | Gross loss | -217.04 |
| Profit factor | 2.99 | Expected payoff | 2.9 | ||
| Absolute drawdown | -63.0 | Maximal drawdown (%) | 59.07 (33.16%) | ||
| Total trades | 149 | Profit trades (% of total) | 81 (54.36%) | Loss trades (% of total) | 68 (45.64%) |
| Long positions (won %) | 70 (57.14%) | Short positions (won %) | 79 (51.9%) | ||
| Largest | profit trade | 32.08 | loss trade | -6.95 | |
| Average | profit trade | 8.02 | loss trade | -3.19 | |
| Minimum | profit trade | 0.01 | loss trade | -0.04 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 10550 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 2435.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 13.0 (104.01) | consecutive losses (loss in money) | 13.0 (-63.0) | |
| Average | consecutive wins | 5.0 | consecutive losses | 4.0 |
| Total net profit | 82.68 | Gross profit | 184.07 | Gross loss | -101.39 |
| Profit factor | 1.82 | Expected payoff | 1.18 | ||
| Absolute drawdown | -33.07 | Maximal drawdown (%) | 42.64 (39.07%) | ||
| Total trades | 70 | Profit trades (% of total) | 40 (57.14%) | Loss trades (% of total) | 30 (42.86%) |
| Largest | profit trade | 18.12 | loss trade | -6.95 | |
| Average | profit trade | 4.6 | loss trade | -3.38 | |
| Minimum | profit trade | 0.01 | loss trade | -0.16 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 10550.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 2223.7 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 12.0 (99.39) | consecutive losses (loss in money) | 9.0 (-42.64) | |
| Average | consecutive wins | 4.0 | consecutive losses | 3.0 |
| Total net profit | 350.06 | Gross profit | 465.71 | Gross loss | -115.65 |
| Profit factor | 4.03 | Expected payoff | 4.43 | ||
| Absolute drawdown | -37.41 | Maximal drawdown (%) | 42.8 (54.45%) | ||
| Total trades | 79 | Profit trades (% of total) | 41 (51.9%) | Loss trades (% of total) | 38 (48.1%) |
| Largest | profit trade | 32.08 | loss trade | -6.27 | |
| Average | profit trade | 11.36 | loss trade | -3.04 | |
| Minimum | profit trade | 0.05 | loss trade | -0.04 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 8894.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 2623.1 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 13.0 (238.96) | consecutive losses (loss in money) | 12.0 (-42.8) | |
| Average | consecutive wins | 5.0 | consecutive losses | 4.0 |


Ritchie Street Electronic Project Service Shop
Mobile +91-7358 501 895 Landline:044-4210 5740
Menu
Services
PRODUCTS
Contact
SCIENCE PROJECTS FOR SCHOOL AND COLLGE STUDENTS
No 21, Balaji complex mount road , anna salai ,chennai 2.


Email<EMAIL_ADDRESS>Note: This is single column.
This program is free software; you can redistribute it.
Please fill your education details


Giftastic Button Wall
Please enter a new search in the form and press the add to list button. Once the button is there you can click to get gifs with those search results.
Add to List


Resources for Those Experiencing Homelessness
Filter By Resource Type
Any
Soup Kitchens
Free Clinics
Shelter
Mental Health Resources
Resources for Women
Medical Assistance
×


I've always liked solving problems and continuous learning. I enjoy travelling for that reason. I think its also why I enjoy working with other people to solve a common problem, I enjoy the paradigm stretching that goes with it.
For the last 17 years I've been a Land Surveyor, and my career just isn't the challenge it used to be. As I've tried to find a new path the world of coding keeps popping up.
I found my life love and am raising her two tinies with her while living a balanced life. We travel (Most recently to Cuba), hike, camp and enjoy life immensely. I'm looking forward to finding work that allows more time for that priority.
Simple page displaying "hello world" in several languages. The page is formatted with h, ul, and li tags within the html
Simple page displaying "goodbye" in several languages. The page is formatted with h, ul, and li tags within the html
A cookie recipe formatted with h, ul, ol, em, and strong tags within the html; also, utilizes the 'a' tag and img tag.
Simple page utilizing tags and elements in HTML.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
Simple page utilizing tags and elements in HTML.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
Simple page utilizing tags and elements in HTML. Implements CSS styling to a simple project.
A bootstrap styling project that created a website gridded into rows columns and panels delineating the materials covered in the first week of the full time intro class at Epicodus.
An exercise to replicate a Wikipedia page utilizing HTML and CSS augmented by bootstrap


Bespoke you probably haven't heard of them odd future vinyl organic fanny pack post-ironic.
High life mcsweeney's fixie seitan, williamsburg vinyl bicycle rights hella authentic hoodie 3 wolf moon squid beard occupy.
Brunch pork belly whatever, portland keytar kogi retro authentic mlkshk jean shorts PBR.
Tofu retro put a bird on it brooklyn blog skateboard pop-up umami sartorial.
Keytar craft beer selvage, squid scenester pickled vegan terry richardson Austin tumblr butcher bushwick sartorial.
Keytar craft beer selvage, squid scenester pickled vegan terry richardson Austin tumblr butcher bushwick sartorial. I'm a block!
I'm a block!
I'm fixed to the bottom-right


MiXignal Press
A Self-Publishing Platform
MiXignal Press is not only a publishing platform but is also a resource for authors who want to self-publish their work independently.
With some very high-quality resources available, a lot of them for free and open-sourced, there has been no better time for author to publish, market and distribute their work
Tufte CSS
This site uses Tufte CSS stylesheets. Tufte CSS was created by Dave Liepmann and is now an Edward Tufte GitHub project: tufte-css. The original idea was cribbed from Tufte-LaTeX and R Markdown’s Tufte Handout format. The live version of this project at https://edwardtufte.github.io/tufte-css/ is probably the best overview of it.
Mixignal Press, NH 03063 USA


And I'm a Software Developer
Please give me a good grade :)
New born babies bring many new tasks
Like cleaning blowouts all the time
But what is worse than a blowout you ask
A poem that doesn't rhyme
This poem was inspired by a word document asking me to write a poem. But I am also having my first child in January so I could write about my near future.
I love to read. As you can tell from my favorite books, my favorite genre is fantasy. I love being transported to new worlds and experiencing the lives of people so different.
I love to be active and play sports. My favorite is basketball, but unfortunately covid has stopped that for a while. I recently picked up pickleball which is an absolute blast.
I love to spend time with my family. My wife and I travel with her Dad a lot. We recently went to New York City and Miami Florida.
| Monday | Tuesday | Wednesday | Thursday | Friday | |
|---|---|---|---|---|---|
| 1:00 PM | PHYS 2210 | ||||
| 1:30 PM | |||||
| 2:00 PM | Study / Eat | Study / Eat | Study / Eat | Study / Eat | Study / Eat |
| 2:30 PM | CS 2370 | CS 2370 | |||
| 3:00 PM | CS 2810 | CS 2810 | CS 2810 | ||
| 3:30 PM | Run to class | Run to class | |||
| 4:00 PM | Study / Eat | CS 2300 | Study / Eat | CS 2300 | PHYS 2215 |
| 4:30 PM | |||||
| 5:00 PM | Study / Eat | Study / Eat | |||
| 5:30 PM | CS 2550 | ||||
| 6:00 PM | Party | ||||
| 6:30 PM | |||||
| 7:00 PM | CS 2420 | CS 2420 | |||
| 7:30 PM | |||||
| 8:00 PM |
Copyright © - Christian Brotherson


Flexible remote work
To promote a healthy work-life balance, team members can work remotely up to 2 days each week. No need to gain approval in advance.
Guidance
Be sure to choose and/or create a working environment that is suitable for productive work. This would include:
- A fast, reliable internet connection
- Your laptop and any other supplies/gear you need
- Noise-level and surroundings conducive to the type of work you do
- Sufficient time to work as much as you would have at the office
When choosing which days to work remotely, take into consideration your commitments and responsibilities, like whether you have meetings, company-wide events, etc. Be sure to notify team members who may be impacted by you working remotely that day.
Working remotely generally requires more effort to ensure it’s effective and productive. It will take extra work to ensure you’re still collaborating well with your teammates and exceeding their expectations.
If you have a compelling reason to work remotely more than 2 days in a particular week, please obtain approval from the person you report to as much in advance as reasonably possible. Several days notice is expected, except for unusual circumstances.
Why not 100% remote?
As a tech company, much of our work can be performed from anywhere. Yet, we’ve found that we’re more collaborative and productive as a team when working from a co-located environment. Plus, working in-person with fellow team members fosters a stronger team culture and more meaningful connections.
To make co-located working the best possible experience, we’ve invested heavily into creating one of the most enjoyable office environments around, with plenty of snacks, indoor/outdoor break areas, ample private offices, stellar coffee, standing desks, and so much more. Our office was designed with team member feedback to be a place people genuinely want to work from.


Provides a set of helpers for calling Prototype JavaScript functions, including functionality to call remote methods using Ajax. This means that you can call actions in your controllers without reloading the page, but still update certain parts of it using injections into the DOM. The common use case is having a form that adds a new element to a list without reloading the page.
To be able to use these helpers, you must include the Prototype JavaScript framework in your pages. See the documentation for ActionView::Helpers::JavaScriptHelper for more information on including the necessary JavaScript.
See link_to_remote for documentation of options common to all Ajax helpers.
See also ActionView::Helpers::ScriptaculousHelper for helpers which work with the Scriptaculous controls and visual effects library.
See JavaScriptGenerator for information on updating multiple elements on the page in an Ajax response.
- build_callbacks
- build_observer
- evaluate_remote_response
- form_remote_for
- form_remote_tag
- link_to_remote
- method_option_to_s
- observe_field
- observe_form
- options_for_ajax
- periodically_call_remote
- remote_form_for
- remote_function
- submit_to_remote
- update_element_function
- update_page
- update_page_tag
| CALLBACKS | = | Set.new([ :uninitialized, :loading, :loaded, :interactive, :complete, :failure, :success ] + (100..599).to_a) |
| AJAX_OPTIONS | = | Set.new([ :before, :after, :condition, :url, :asynchronous, :method, :insertion, :position, :form, :with, :update, :script ]).merge(CALLBACKS) |
Returns ‘eval(request.responseText)’ which is the JavaScript function that form_remote_tag can call in :complete to evaluate a multiple update return document using update_element_function calls.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 275 275: def evaluate_remote_response 276: "eval(request.responseText)" 277: end
Alias for remote_form_for
Returns a form tag that will submit using XMLHttpRequest in the background instead of the regular reloading POST arrangement. Even though it’s using JavaScript to serialize the form elements, the form submission will work just like a regular submission as viewed by the receiving side (all elements available in params). The options for specifying the target with :url and defining callbacks is the same as link_to_remote.
A "fall-through" target for browsers that doesn’t do JavaScript can be specified with the :action/:method options on :html.
Example:
form_remote_tag :html => { :action => url_for(:controller => "some", :action => "place") }
The Hash passed to the :html key is equivalent to the options (2nd) argument in the FormTagHelper.form_tag method.
By default the fall-through action is the same as the one specified in the :url (and the default method is :post).
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 162 162: def form_remote_tag(options = {}) 163: options[:form] = true 164: 165: options[:html] ||= {} 166: options[:html][:onsubmit] = "#{remote_function(options)}; return false;" 167: options[:html][:action] = options[:html][:action] || url_for(options[:url]) 168: options[:html][:method] = options[:html][:method] || "post" 169: 170: tag("form", options[:html], true) 171: end
Returns a link to a remote action defined by options[:url] (using the url_for format) that’s called in the background using XMLHttpRequest. The result of that request can then be inserted into a DOM object whose id can be specified with options[:update]. Usually, the result would be a partial prepared by the controller with either render_partial or render_partial_collection.
Examples:
link_to_remote "Delete this post", :update => "posts", :url => { :action => "destroy", :id => post.id } link_to_remote(image_tag("refresh"), :update => "emails", :url => { :action => "list_emails" })
You can also specify a hash for options[:update] to allow for easy redirection of output to an other DOM element if a server-side error occurs:
Example:
link_to_remote "Delete this post", :url => { :action => "destroy", :id => post.id }, :update => { :success => "posts", :failure => "error" }
Optionally, you can use the options[:position] parameter to influence how the target DOM element is updated. It must be one of :before, :top, :bottom, or :after.
By default, these remote requests are processed asynchronous during which various JavaScript callbacks can be triggered (for progress indicators and the likes). All callbacks get access to the request object, which holds the underlying XMLHttpRequest.
To access the server response, use request.responseText, to find out the HTTP status, use request.status.
Example:
link_to_remote word, :url => { :action => "undo", :n => word_counter }, :complete => "undoRequestCompleted(request)"
The callbacks that may be specified are (in order):
| :loading: | Called when the remote document is being loaded with data by the browser. |
| :loaded: | Called when the browser has finished loading the remote document. |
| :interactive: | Called when the user can interact with the remote document, even though it has not finished loading. |
| :success: | Called when the XMLHttpRequest is completed, and the HTTP status code is in the 2XX range. |
| :failure: | Called when the XMLHttpRequest is completed, and the HTTP status code is not in the 2XX range. |
| :complete: | Called when the XMLHttpRequest is complete (fires after success/failure if they are present). |
You can further refine :success and :failure by adding additional callbacks for specific status codes.
Example:
link_to_remote word, :url => { :action => "action" }, 404 => "alert('Not found...? Wrong URL...?')", :failure => "alert('HTTP Error ' + request.status + '!')"
A status code callback overrides the success/failure handlers if present.
If you for some reason or another need synchronous processing (that’ll block the browser while the request is happening), you can specify options[:type] = :synchronous.
You can customize further browser side call logic by passing in JavaScript code snippets via some optional parameters. In their order of use these are:
| :confirm: | Adds confirmation dialog. |
| :condition: | Perform remote request conditionally by this expression. Use this to describe browser-side conditions when request should not be initiated. |
| :before: | Called before request is initiated. |
| :after: | Called immediately after request was initiated and before :loading. |
| :submit: | Specifies the DOM element ID that’s used as the parent of the form elements. By default this is the current form, but it could just as well be the ID of a table row or any other DOM element. |
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 127 127: def link_to_remote(name, options = {}, html_options = {}) 128: link_to_function(name, remote_function(options), html_options) 129: end
Observes the field with the DOM ID specified by field_id and makes an Ajax call when its contents have changed.
Required options are either of:
| :url: | url_for-style options for the action to call when the field has changed. |
| :function: | Instead of making a remote call to a URL, you can specify a function to be called instead. |
Additional options are:
| :frequency: | The frequency (in seconds) at which changes to this field will be detected. Not setting this option at all or to a value equal to or less than zero will use event based observation instead of time based observation. |
| :update: | Specifies the DOM ID of the element whose innerHTML should be updated with the XMLHttpRequest response text. |
| :with: | A JavaScript expression specifying the parameters for the XMLHttpRequest. This defaults to ‘value’, which in the evaluated context refers to the new field value. If you specify a string without a "=", it’ll be extended to mean the form key that the value should be assigned to. So :with => "term" gives "’term’=value". If a "=" is present, no extension will happen. |
| :on: | Specifies which event handler to observe. By default, it’s set to "changed" for text fields and areas and "click" for radio buttons and checkboxes. With this, you can specify it instead to be "blur" or "focus" or any other event. |
Additionally, you may specify any of the options documented in link_to_remote.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 352 352: def observe_field(field_id, options = {}) 353: if options[:frequency] && options[:frequency] > 0 354: build_observer('Form.Element.Observer', field_id, options) 355: else 356: build_observer('Form.Element.EventObserver', field_id, options) 357: end 358: end
Like observe_field, but operates on an entire form identified by the DOM ID form_id. options are the same as observe_field, except the default value of the :with option evaluates to the serialized (request string) value of the form.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 364 364: def observe_form(form_id, options = {}) 365: if options[:frequency] 366: build_observer('Form.Observer', form_id, options) 367: else 368: build_observer('Form.EventObserver', form_id, options) 369: end 370: end
Periodically calls the specified url (options[:url]) every options[:frequency] seconds (default is 10). Usually used to update a specified div (options[:update]) with the results of the remote call. The options for specifying the target with :url and defining callbacks is the same as link_to_remote.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 136 136: def periodically_call_remote(options = {}) 137: frequency = options[:frequency] || 10 # every ten seconds by default 138: code = "new PeriodicalExecuter(function() {#{remote_function(options)}}, #{frequency})" 139: javascript_tag(code) 140: end
Works like form_remote_tag, but uses form_for semantics.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 174 174: def remote_form_for(object_name, *args, &proc) 175: options = args.last.is_a?(Hash) ? args.pop : {} 176: concat(form_remote_tag(options), proc.binding) 177: fields_for(object_name, *(args << options), &proc) 178: concat('</form>', proc.binding) 179: end
Returns the JavaScript needed for a remote function. Takes the same arguments as link_to_remote.
Example:
<select id="options" onchange="<%= remote_function(:update => "options", :url => { :action => :update_options }) %>"> <option value="0">Hello</option> <option value="1">World</option> </select>
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 288 288: def remote_function(options) 289: javascript_options = options_for_ajax(options) 290: 291: update = '' 292: if options[:update] and options[:update].is_a?Hash 293: update = [] 294: update << "success:'#{options[:update][:success]}'" if options[:update][:success] 295: update << "failure:'#{options[:update][:failure]}'" if options[:update][:failure] 296: update = '{' + update.join(',') + '}' 297: elsif options[:update] 298: update << "'#{options[:update]}'" 299: end 300: 301: function = update.empty? ? 302: "new Ajax.Request(" : 303: "new Ajax.Updater(#{update}, " 304: 305: url_options = options[:url] 306: url_options = url_options.merge(:escape => false) if url_options.is_a? Hash 307: function << "'#{url_for(url_options)}'" 308: function << ", #{javascript_options})" 309: 310: function = "#{options[:before]}; #{function}" if options[:before] 311: function = "#{function}; #{options[:after]}" if options[:after] 312: function = "if (#{options[:condition]}) { #{function}; }" if options[:condition] 313: function = "if (confirm('#{escape_javascript(options[:confirm])}')) { #{function}; }" if options[:confirm] 314: 315: return function 316: end
Returns a button input tag that will submit form using XMLHttpRequest in the background instead of regular reloading POST arrangement. options argument is the same as in form_remote_tag.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 185 185: def submit_to_remote(name, value, options = {}) 186: options[:with] ||= 'Form.serialize(this.form)' 187: 188: options[:html] ||= {} 189: options[:html][:type] = 'button' 190: options[:html][:onclick] = "#{remote_function(options)}; return false;" 191: options[:html][:name] = name 192: options[:html][:value] = value 193: 194: tag("input", options[:html], false) 195: end
Returns a JavaScript function (or expression) that’ll update a DOM element according to the options passed.
- :content: The content to use for updating. Can be left out if using block, see example.
- :action: Valid options are :update (assumed by default), :empty, :remove
- :position If the :action is :update, you can optionally specify one of the following positions: :before, :top, :bottom, :after.
Examples:
<%= javascript_tag(update_element_function("products", :position => :bottom, :content => "
New product!
")) %> <% replacement_function = update_element_function("products") do %>
Product 1

Product 2
 <% end %> <%= javascript_tag(replacement_function) %>
This method can also be used in combination with remote method call where the result is evaluated afterwards to cause multiple updates on a page. Example:
# Calling view <%= form_remote_tag :url => { :action => "buy" }, :complete => evaluate_remote_response %> all the inputs here... # Controller action def buy @product = Product.find(1) end # Returning view <%= update_element_function( "cart", :action => :update, :position => :bottom, :content => "
New Product: #{@product.name}
")) %> <% update_element_function("status", :binding => binding) do %> You've bought a new product! <% end %>
Notice how the second call doesn’t need to be in an ERb output block since it uses a block and passes in the binding to render directly. This trick will however only work in ERb (not Builder or other template forms).
See also JavaScriptGenerator and update_page.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 246 246: def update_element_function(element_id, options = {}, &block) 247: content = escape_javascript(options[:content] || '') 248: content = escape_javascript(capture(&block)) if block 249: 250: javascript_function = case (options[:action] || :update) 251: when :update 252: if options[:position] 253: "new Insertion.#{options[:position].to_s.camelize}('#{element_id}','#{content}')" 254: else 255: "$('#{element_id}').innerHTML = '#{content}'" 256: end 257: 258: when :empty 259: "$('#{element_id}').innerHTML = ''" 260: 261: when :remove 262: "Element.remove('#{element_id}')" 263: 264: else 265: raise ArgumentError, "Invalid action, choose one of :update, :remove, :empty" 266: end 267: 268: javascript_function << ";\n" 269: options[:binding] ? concat(javascript_function, options[:binding]) : javascript_function 270: end
Yields a JavaScriptGenerator and returns the generated JavaScript code. Use this to update multiple elements on a page in an Ajax response. See JavaScriptGenerator for more information.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/prototype_helper.rb, line 669 669: def update_page(&block) 670: JavaScriptGenerator.new(@template, &block).to_s 671: end
Works like update_page but wraps the generated JavaScript in a


Suranjana Roy, reporting for LiveMint:
The UIDAI filed a police complaint on 15 February against Axis Bank Ltd, business correspondent Suvidhaa Infoserve and e-sign provider eMudhra, alleging they had attempted unauthorized authentication and impersonation by illegally storing Aadhaar biometrics.
In terms of details:
The breach was noticed after one individual performed 397 biometric transactions between 14 July 2016 and 19 February 2017. Of these, 194 transactions were performed through Axis Bank, 112 through eMudhra and 91 through Suvidhaa Infoserve.
In a statement issued by the UIDAI, they said:
With reference to an incident of misuse of biometrics reported in a newspaper, UIDAI said that it is an isolated case of an employee working with a bank’s Business Correspondent’s company making an attempt to misuse his own biometrics which was detected by UIDAI internal security system and subsequently actions under the Aadhaar Act have been initiated.
It looks like an employee working within the Aadhaar framework played with the data (the UIDAI says it was his own data), and that it was UIDAI that flagged the issue and filed a criminal case against the parties involved. In technical terms, the Aadhaar database was not hacked or breached, but human access of the platform was misused. Moreover, it is the important to note that it is the UIDAI’s own systems that eventually picked up on this misuse.
But it does raise some of the larger points the opponents of Aadhaar keep highlighting — trusting any entity with data, particularly biometric data, is unsafe by definition. There is though, the point wherein a unique identity system in a country like India where benefits, subsidies and other services are rampant and untraceable, having a unique, two-step verifiable method to verify citizens’ access to schemes, and rooting out corruption has already brought about numerous benefits.
I’d love to have a more detailed debate on Aadhaar, one covering the Act, the change in its provisions in March 2016, and the larger point of making where to take Aadhaar in India — including how it is administered/delivered, privacy regulations, and more. Please comment if this is something you’d be interested in doing, and we’ll see how we can give this discussion some shape.
One final tidbit:
There has been no incident of misuse of Aadhaar biometrics leading to identity theft and financial loss during the last five years when more than 400 crore Aadhaar authentication transactions have taken place, according to Unique Identification Authority of India (UIDAI).
Notwithstanding the population of India, that is still a lot of transactions.


About 115’000 results
(0.24 seconds)
Ficus benjamina
- Wikipedia
https://en.wikipedia.org/wiki/
Ficus
_
benjamina
Ficus benjamina
, commonly known as weeping fig, benjamin fig or Ficus tree,
and often sold in stores as just ficus, is a species of flowering plant in the family ...
Ficus benjamina
(F. benjamini) Pflege - Pflanzenfreunde
www.pflanzenfreunde.com/
ficus
-
benjamina
.htm
Ficus benjamina
, auch
Ficus benjamini
oder Birkenfeige genannt, wird in den
tropischen Ländern als Zierpflanze in Gärten und Parkanlagen gepflegt.
The Ultimate
Ficus Benjamina
Care Guide | 101 Tips
tipsplants.com/plants/house.../
ficus
-
benjamina
A list of all 101
Ficus benjamina
care instructions. Here you'll learn how to grow,
care and so on. This is Your ultimate guide!
Ficus benjamina
| Benjamin tree/RHS Gardening
https://www.rhs.org.uk/Plants/7197/
Ficus
-
benjamina
/Details
Find help & information on
Ficus benjamina
Benjamin tree from the RHS.
How to Grow a
Ficus Benjamina
: 5 Steps (with Pictures) - wikiHow
www.wikihow.com/Grow-a-
Ficus
-
Benjamina
How to Grow a
Ficus Benjamina
. While the
Ficus benjamina
is notorious for
being difficult to grow, it is possible to raise a healthy tree. Just follow a few
simple ...
Ficus benjamina
'Starlight' (v) | Benjamin fig 'Starlight'/RHS Gardening
https://www.rhs.org.uk/Plants/97233/
Ficus
-
benjamina
.../Details
Find help & information on
Ficus benjamina
'Starlight' (v) Benjamin fig 'Starlight'
from the RHS.
Ficus Benjamina
www.coopext.colostate.edu/4dmg/Plants/
ficus
.htm
By Mary Small, Colorado State University Cooperative Extension, Urban
Integrated Pest Management. Although this attractive
ficus
has graceful, delicate
...
Ficus
Houseplants - How To Care For A
Ficus
Tree
www.gardeningknowhow.com/.../
ficus
/
ficus
-tree-care.htm
22 Dec 2016
...
If you know how to care for a ficus tree, you'll be better equipped with ... most
people refer to a weeping fig (
Ficus benjamina
) as simply a ficus.
Weeping Fig Tree Plant -
Ficus Benjamina
www.houseplantsexpert.com/weeping-fig.html
The weeping fig is part of the
Ficus
plant genus (scientific name: F.
benjamina
)
and tree like, in looks. With large arching branches and long pointed leaves, ...
1
2
3
4
5
6
7
8
9
10
Next


A small web project made by your classmates Christos Maragos, Costantinos.
Kores and Mohamed Mohamed Vall. This project is a small one, made with
testing out unix and other web-based language's functionalities.
It may not look like much, but we've learned a great deal while working on this project and hope you'll learn to appreciate the work
we put into it.
Although most of the work for this project is happening "behind the scenes"
(ex: launching this project on a web server, keeping said server open and
constantly updating, etc.), we've decided to build a few functionalities
with the hopes of making a robust project every can enjoy. Firstly,
we've made not one but two (!) variants of a weather forecasting program
Those being the Single and Multiple daily forecast.
With that said, we would like to present to you the fruits of our labor.


Halsey debuts web series ‘Road To Manic’ documenting the creation of her new album
Watch the first episode now
Halsey has released the first episode of Road To Manic, her new YouTube series that documents the lead-up to her upcoming album, ‘Manic’.
The first episode, which premiered late last night (November 7), is a two-minute-long clip that follows Halsey at various gigs across Europe. It includes her appearance on the reality singing competition show Swedish Idol and her recent performance at the MTV European Music Awards in Seville, Spain.
At one point in the episode, Halsey admits that she’s excited to release her new album, although she’s also quite nervous about the critical reception. “You hear an album called ‘Manic’ and you think it’s going to be like, super sad and dark, but it’s not,” the pop star says. “It’s really colourful and kinda funny sometimes.
It’s unclear how many episodes Road To Manic will run, and how often they will be released. Watch the first episode below:
Road To Manic is produced by Halsey’s frequent collaborator and photographer Peter Don (aka DonsLens), whom the singer has credited with “tirelessly provid[ing] me with amazing visual content for years”.
“I have always been more intrigued by an actual story than just a montage, the story is always king! Especially when its @halsey telling it,” Don tweeted.
‘Manic’, out January 17 2020, is a follow-up to Halsey’s 2017 sophomore LP, ‘Hopeless Fountain Kingdom’. Her new record will include the already released singles, ‘Clementine’ and ‘Graveyard’.
According to Halsey, the album will be “less dystopian fantasy world and more like, ‘This is what I’m thinking right now: the world sucks.’” The singer also plans to support the release of her new studio full-length with a 2020 UK and Ireland arena tour that’s scheduled to kick off in March.