- MG = Mabeline Gym
- MPR = Multi Purpose Room
- RR = Round Table Room
- YHG = Yeamans Hall Gym
1
- 9:00 Sit' n Fit w/Barb - MPR
- 10:30 Stretch Class w/ Louise - MPR
- 11:45 Strength & Core w/ Louise - MPR
2
- 9:00 Beginner Line Dance - MG
- 10:15 Intermediate Line Dance - MG
- 10:45 Zumba Gold w/ Queenie MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4
3
- 9:00 Sit' n Fit w/ Kathy - MPR
- 10:30 Stretch Class w/ Loise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 BINGO - MPR
- 2:30 Crocheting w/ Marilyn - RR
- 6:00-7:00 Line Dancing - MPR
4
- 10:30-4:30 Quilting - MPR
- 11:00-2:00 Pickleball - YHG
- 12:30 - Bunco RR limit 8
5
- 8:00-12:00 Fitness Center Only
8
- 9:00 Sit' n Fit w/Barb MPR
- 10:30 Stretch Class w/ Louise MPR
- 11:45 Strength & Core w/ Louise MPR
9
- 9:00 Beginner Line Dance - MG
- 10:15 Intermediate Line Dance - MG
- 10:45 Zumba Gold w/ Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4
10
- 9:00 Sit' n Fit w/ Kathy - MPR
- 10:30 Stretch Class w/ Loise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 BINGO - MPR
- 2:30 Crocheting w/ Marilyn - RR
- 6:00-7:00 Line Dancing - MPR
11
- 10:30-4:30 Quilting - MPR
- 11:00-2:00 Pickleball - YHG
- 12:30 - Bunco RR limit 8
12
- 8:00-12:00 Fitness Center Only
14
- 9:00 Sit' N Fit w/Barb - MPR
- 10:45 Zumba Gold w/Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR (limit 2 tables of 4)
- 12:30 - 3:30 Cornhole - MPR
15
- 9:00 Sit' n Fit w/Barb - MPR
- 10:30 Stretch Class w/ Louise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 Basic Tap Dance - MPR
- 2:30 Genealogy Club - MPR
16
- 9:00 Beginner Line Dance - MG
- 10:15 Intermediate Line Dance - MG
- 10:45 Zumba Gold w/ Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4
- 1:30 Classical Ballet Barre - MPR
- 2:30 Tap Dancing - MPR
17
- 9:00 Sit' n Fit w/ Kathy - MPR
- 10:30 Stretch Class w/ Loise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 BINGO - MPR
- 2:30 Crocheting w/ Marilyn - RR
- 6:00-7:00 Line Dancing - MPR
18
- 10:30-4:30 Quilting - MPR
- 11:00-2:00 Pickleball - YHG
- 12:30 - Bunco RR limit 8
19
- 8:00-12:00 Fitness Center Only
21
- 9:00 Sit' N Fit w/Barb - MPR
- 10:45 Zumba Gold w/Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR (limit 2 tables of 4)
- 12:30 - 3:30 Cornhole - MPR
22
- 9:00 Sit' n Fit w/Barb - MPR
- 10:30 Stretch Class w/ Louise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 Basic Tap Dance - MPR
- 2:30 Genealogy Club - MPR
- FLU SHOTS offered today at the Senior Center. Please sign up at the table in the hallway. Bring your insurance card.
23
- 9:00 Beginner Line Dance - MG
- 10:15 Intermediate Line Dance - MG
- 10:45 Zumba Gold w/ Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4
- 1:30 Classical Ballet Barre - MPR
- 2:30 Tap Dancing - MPR
24
- 9:00 Sit' n Fit w/ Kathy - MPR
- 10:30 Stretch Class w/ Loise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 BINGO - MPR
- 2:30 Crocheting w/ Marilyn - RR
- 6:00-7:00 Line Dancing - MPR
25
- 10:30-4:30 Quilting - MPR
- 11:00-2:00 Pickleball - YHG
- 12:30 - Bunco - RR limit 8
26
- 8:00-12:00 Fitness Center Only
28
- 9:00 Sit' N Fit w/Barb - MPR
- 10:45 Zumba Gold w/Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4)
- 12:30 3:30 - Cornhole - MPR
29
- 9:00 Sit' n Fit w/Barb - MPR
- 10:30 Stretch Class w/ Louise - MPR
- 11:45 Strength & Core w/ Louise - MPR
- 1:30 Basic Tap Dance - MPR
- 2:30 Genealogy Club - MPR
30
- 9:00 Beginner Line Dance - MG
- 10:15 Intermediate Line Dance - MG
- 10:45 Zumba Gold w/ Queenie - MPR
- 11:00-2:00 Pickleball - YHG
- 12:00 Canasta - RR limit 2 tables of 4
- 1:30 Classical Ballet Barre - MPR
- 2:30 Tap Dancing - MPR
Summer Hours of Operation:
MWF - 8:30 - 5:00
T and TH 8:30 - 8:00
Satuday 8:00 - 12:00 Fitness Center Only


Departing from {{ originName }} will revoke your access to create packages and utilize private artifacts in this origin.


Ask any questions on Stack Overflow.
Use Google Group for discussion.
Or send private message to developers<EMAIL_ADDRESS>Discuss with real users in Telegram chat in English or in Russian.
Software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
either express or implied.
ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
ClickHouse manages extremely large volumes of data in a stable and sustainable manner. It currently powers Yandex.Metrica, world’s second largest web analytics platform, with over 20.3 trillion database records and over 20 billion events a day, generating customized reports on-the-fly, directly from non-aggregated data. This system was successfully implemented at CERN’s LHCb experiment to store and process metadata on 10bn events with over 1000 attributes per event registered in 2011.
ClickHouse allows companies to add servers to their clusters when necessary without investing time or money into additional DBMS modification. The system has been successfully serving Yandex.Metrica, while the servers just in its main cluster, located in six geographically distributed datacenters, have grown from 60 to 394 in two years.
ClickHouse scales well both vertically and horizontally. ClickHouse is easily adaptable to perform both on hundreds of node clusters, and on a single server or even virtual machine. It currently has installations with more than two trillion rows per single node, as well as installations with 100 TB of storage per single node.
ClickHouse processes typical analytical queries two to three orders of magnitude faster than traditional row-oriented systems with the same available IO throughput. The system’s columnar format allows fitting more hot data in the server’s RAM, which leads to a shorter response time.
ClickHouse allows to minimize number of seeks for range queries, which increases efficiency of using rotational drives, as it maintains locality of reference for stored data continually.
ClickHouse is CPU efficient because of its vectorized query execution and runtime code generation.
By minimizing data transfers for most types of queries, ClickHouse enables companies to manage their data and create reports without using a network that supports high-performance computing.
ClickHouse’s performance exceeds comparable column-oriented DBMS currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.
ClickHouse uses all available hardware to its full potential to process each query as fast as possible. The peak processing performance for a single query (after decompression, only used columns) stands at more than 2 terabytes per second.
ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and writes. Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data are synchronized automatically or semi-automatically after the downtime.
ClickHouse features a number of built-in user-friendly web analytics capabilities, including probabilistic data structures for fast and memory-efficient calculation of cardinalities and quantiles, or functions for addressing URLs and IPs (both IPv4 and IPv6) as well as identifying dates, times and time zones.
Data management methods available in ClickHouse, such as arrays, array joins and nested data structures, are extremely efficient for managing denormalized data.
Using ClickHouse allows joining both distributed data and co-located data, as the system supports local joins and distributed joins. It also offers an opportunity to use external dictionaries, dimension tables loaded from an external source, for seamless joins.
ClickHouse supports approximate query processing – you can get results as fast as you want, which is indispensable when dealing with terabytes and petabytes of data.
The system’s conditional aggregate functions, calculation of totals and extremes, allow getting results with a single query without having to run a number of them.
ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system can be easily installed on a single server or even a virtual machine. No development experience or code-writing skills are required to install ClickHouse.
ClickHouse has been managing petabytes of data serving a number of high-load mass-audience services of Russia’s leading search provider and one of Europe’s largest IT companies, Yandex. Since 2012, ClickHouse has been providing robust database management for the company’s web analytics service, comparison shopping platform, email service, online advertising platform, business intelligence and infrastructure monitoring.
ClickHouse is purely distributed system located on independent nodes, which has no single point of failure.
Software or hardware failures or misconfigurations do not result in loss of data. Instead of deleting "broken" data, Clickhouse saves it or asks you what to do before a startup. All data are checksummed before every read or write to disk or network. It is virtually impossible to delete data by accident.
ClickHouse offers flexible limits on query complexity and resource usage, which can be fine-tuned using settings. It is possible to simultaneously serve both a number of high priority low-latency requests and some long-running queries with lowered priority.
ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the system, and it is instantly available for reports. New columns for new properties or dimensions can be easily added to the system at any time without slowing it down.
ClickHouse works 100-1,000x faster than traditional approaches. In contrast to data management methods, where vast amounts of raw data in its native format are available as a ‘data lake’ for any given query, ClickHouse, in most cases, offers instant results: the data is processed faster than it takes to make a query.
Key Features
|
Applications
|
System requirements: Linux, x86_64 with SSE 4.2.
Install packages for Ubuntu 16.04 (Xenial) or Ubuntu 14.04 (Trusty) or Ubuntu 12.04 (Precise):
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E0C56BD4 # optional
sudo mkdir -p /etc/apt/sources.list.d
echo "deb http://repo.yandex.ru/clickhouse/trusty stable main" |
sudo tee /etc/apt/sources.list.d/clickhouse.list
sudo apt-get update
sudo apt-get install clickhouse-server-common clickhouse-client
sudo service clickhouse-server start
clickhouse-client
Read the documentation.
Or build ClickHouse from sources according to the instruction.


COVID-19
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COVID-19 Others - Spain REPORT
Novel Coronavirus (COVID-19) cases data provided by JHU CSSE
Spain - 1695
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About NBGardens Company
NB Gardens is a traditional catalogue company based in the North-West of England. It sells garden products to its registered customers via phone and mail. NB Gardens specialises in gnomes, gnome accessories and garden ornaments and it prides itself on the speed and quality of its service to its expanding customer base. The company is renowned for the quality of its products, sourcing its stock from only the finest suppliers. NB gardens have been established since 1875.


Hi. I am a semi-retired vet with no electrical skills, but reasonable problem solving and surgical skills, my husband is a webmaster and has programming skills. We built a radio kit that required some soldering but found it challenging. Have we any chance of putting together a solar pv monitor kit? Our pv system is complicated and needs monitoring that detects negative and positive flow - the set up would be type2, and this system seems superior to the wattson solarplus- I like the monitor better, more info. Does anyone put them together for amateurs like us?
Building a solar pv monitor kit
Submitted by Guest on Thu, 07/03/2013 - 08:36»
Re: Building a solar pv monitor kit
Have you had a look at my Mk2 PV Router design? There's plenty of info about it at http://openenergymonitor.org/emon/node/1757 . [and here http://openenergymonitor.org/emon/mk2 - RW] This design allows surplus PV power to be efficiently diverted, but does not support any recording of data.
If you want to monitor & display data as well as diverting surplus power, Martin's approach at http://openenergymonitor.org/emon/node/1535 may be of interest.
Both of the above designs will work on the standard emonTx platform (Although I generally use a shared Vref, my Mk2 sketch will work fine with independent non-buffered ones).
Building a basic monitor is very straightforward and plenty of instructions are available. By constructing your own rig, you will gain a much better understanding of the basic principles than by simply using a commercial one. The performance will probably be a lot better too.
From recollection, the Type2 setup requires current to be measured at two places. An alternative approach well worth considering is to measure voltage too. By this means, real power (and other parameters) can be calculated directly. When calculated in this way, power is much more accurate than when subtracting two values of current and assuming a nominal voltage.
Re: Building a solar pv monitor kit
Hi,
Thanks for that. I have chickened out and gone for an off the shelf monitor- eco-eye pv. I am very interested in open source monitoring but it looks very difficult to assemble the platform.
Thanks again
Susan
Re: Building a solar pv monitor kit
OK. The Eco-eye will no doubt give you some idea of what's going on, but its performance has been shown to be well down on the alternative designs that I and others have posted on this forum. For a start, the Eco-Eye makes the assumption that the mains voltage remains constant at all times, which it most definitely doesn't. However, several constructors have Eco-Eye units running alongside their own home-built platforms.
For a budget of around £50, you could invest in the necessary components to assemble your own monitor (Arduino, breadboard, CT and AC/AC adaptor) and see how you get on. A simple test circuit is here. If it all works, then you'll have a top notch monitor which could be boxed up and used for real, with diversion of surplus power if you wish. If you decide not to complete the project, at least you'll have had the fun of building something which detects current & voltages for yourself.
Re: Building a solar pv monitor kit
Robin,
Susan & her husband's problem appears to be the practical mechanical & electrical skills needed to construct the kit! We need any army of volunteer assemblers - and I guess a standard price list for the service - for people who want an accurate and versatile alternative to the commercial offerings.
Re: Building a solar pv monitor kit
Some first-hand reports from people who were apprehensive at the outset, but then found that it was much easier than they imagined, might help too.
For me, assembling a kit is fairly straightforward. I've yet to get around to putting it all in a box though - keep finding something else to do instead!


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/detecting.20hypotheses.20introduced.20by.20the.20equation.20compiler.3F.html ---
(For the purposes of some automation) I'd like to treat hypotheses that were introduced by the equation compiler (e.g. the inductive hypothesis) differently from the others. Is there a way of inspecting the local_context and determining which ones these are?
look for aux_decl
binders in the local constants
ah: expr.is_aux_decl
Last updated: Apr 24 2020 at 19:02 UTC


As with all scientific progress, we stand on the shoulders of giants. If this package is of use to you in publishing papers then please acknowledge the following people who have made this package a reality:
- A. Barbieri and M.A. Van Hove - who developed most of the original fortran code. Use A. Barbieri and M.A. Van Hove, private communication. (see doc/phsh2007.txt for further details).
- E.L. Shirley - who developed part of the fortran code during work towards his PhD thesis (refer to the thesis: E.L. Shirley, “Quasiparticle calculations in atoms and many-body core-valence partitioning”, University of Illinois, Urbana, 1991).
- Christoph Gohlke - who developed the elements.py module used extensively throughout for the modelling convenience functions (see ‘elements.py’ for license details).
I would also be grateful if you acknowledge this python package (phaseshifts) as: L.M. Deacon, private communication.
I wish to personally add a heartfelt thanks to both Eric Shirley and Michel Van Hove who have kindly allowed the use of their code in the libphsh.f file needed for the underlying low-level functions in this package.


The API platforms provided by most Integrated Talent Management (ITM) suites today for integrating HR applications use the traditional hub and spoke model. Hub and spoke is a natural evolution for large applications that have added APIs to a long established product.
Your app acts as a spoke, one of many clustered around a single large HR platform/ ITM suite that acts as the hub.
In the hub and spoke model, the APIs themselves are the intellectual property of the hub. The hub is in charge. It defines the APIs that your app can use. The APIs are only designed for your app to communicate to the hub - not to any other app. API calls are typically inwards, where your app calls APIs on the hub, rather than the other way around (although some platforms provide limited webhooks allowing the hub to push events to your app).
Hub and spoke API platforms are common and familiar, but they enforce lock-in and present a number of challenges to you, the app developer, and to customers.
Talent App Store is not hub and spoke based, but uses an open peer to peer model. In a peer to peer system, all apps are equal, and any app can consume any API on any other app. There is no single, large hub.
In a microservices architecture there is no single shared database, and peer to peer communications become essential for data and event synchronization.
For developers, the peer to peer model promotes agile API development and lets your build your SaaS app once and have any customer click to instantly install it.
For customers, the peer to peer model promotes choice via true plug and play of apps, and the overarching security model provides a single throat to choke in the event of a security breach.
Because any app can call APIs on any other app in the peer to peer model, no single party can be the gate keeper of the APIs (like the hub in the hub and spoke model).
Instead, APIs are defined by developers (typically via the screens at the developer site. This information is stored in the API catalog within the TAS core.
Because APIs can be contributed by anyone, the peer to peer API platform is more like open source software than traditional HR technology. If a developer feels that a certain API is not evolving quickly enough, or in a direction they want, they can copy (fork) the API and use it as a starting point for their own new API. If that new API gains traction, the owners of the original API and the new API can decide to merge back to a single API.
When a developer adds an API to the www.talentappstore.com marketplace (as opposed to a private marketplace - described later), they must do so under an open source license, so that there are no legal impediments to any other developer using that API.
The primary goal of TAS is that customers can click to install pre-integrated HR microservices - small, best of breed apps that communicate with each other via APIs - into their own ecosystem.
For click to install to work, TAS needs detailed information not just about the APIs themselves, but also about which specific APIs each app consumes and produces, so that it can join the dots at install time.
This information is entered by you (i.e. the app developer), also at the developer site. Your app can produce and consume any APIs, including those defined by other developers.
The core stores the information about which APIs your app consumes and produces in the app's API matrix.
Once you've defined the API matrix for your app, it's ready for install as far as TAS is concerned. Your app is now packaged so that any tenant can use it.
Your app starts out with private visibility (it's not publicly visible within the marketplace), meaning that for a tenant to install it, you'll need to send them a private install link. Later, you can request the marketplace owner publishes your app. When/if they do, then any tenant within the marketplace can find your app and click to install it without any input from you.
At some point, a tenant will install your app. When the install button is clicked, TAS joins the dots and effectively wires your app into the tenant's ecosystem in two steps:
First, the core updates the tenant's route map.
The route map holds details of all of the paths between the tenant's installed apps. For example, when the career site app installed at acme consumes the GET /jobs API to fetch the list of open jobs, the routes table knows that its the coolATS app that produces that API (based on that tenant's install choices).
A menu item in the storefront app lets you see the current route map for the tenant.
Next, The core sends a provisioning message to your app's server to tell it it has a new tenant. Your server may insert a row into its customers table, create a record in a CRM, or anything you like.
Your app is now fully installed (for this tenant) and can start consuming and producing APIs.
The peer to peer model provides customers with something not seen in traditional HR software stacks - true plug and play of apps.
When evaluating new apps, customers can click install to spin up a demo of a new app that runs against their own organization, job and candidate data in a few seconds. They can perform real, hands-on evaluation of several different apps in a day, and make informed "try before you buy" decisions instead of picking through sales pitches and guesswork.
When running a production stack, plug and play gives customers protection from vendor lock-in. In the peer to peer model, a customer can swap out any app and replace it with a different app, as long as the replacement produces and consumes the same APIs. TAS lets customers minimize their exposure to lock-in and leverage their own home-grown and legacy HR software over the long term.
We've heard how TAS supports plug and play, and how your app can consume APIs without needing to know which app(s) are producing those APIS. But how does this actually play out in your app's code?
While there is a lot happening under the covers, TAS makes this *service discovery* as transparent as possible.
Here is an example of an actual API call in TAS using the popular command line tool curl:
# as the app "jobboard",
# and acting for tenant "acme",
# call the API GET /jobs/{job}
# as defined by the developer "aotal"
curl -H "tazzy-secret: gjKUy7Y7Ehy0KgE32" \
http://jobboard.tazzy.io/t/acme/devs/aotal/jobs/1001
Here the API call is targeted not at any particular app, but at **tazzy.io**. Your app doesn't need to know which app is at the other end of the API call - it just works.
What makes this possible is tazzy, a transparent network proxy. Tazzy conceals the complexity of service discovery from your app.
Because tazzy works at the network level, your app doesn't need special SDKs or libraries to use TAS, and you can use any http-level tools such as curl, telnet, postman, etc. to develop and test your app.
Another advantage or working at the network level is increased performance when horizontally scaling (adding more servers to cope with increased traffic to your app). Tazzy caches routes and OAuth tokens and makes them available to all of the servers that make up your app, no matter how widely you scale. This is not possible with SDKs or libraries alone.
So how does this work? Tazzy does a lot under the covers when your app makes the API call above:
In other words, tazzy transparently sets up the security credentials for the API call and then redirects it to the correct app, all transparently to your app.
A note on security: even though the network traffic in to tazzy is protected by SSL/TLS, its not ideal to pass your app's secret key across the wire. In a production environment, you may decide to host tazzy yourself rather than use the shared community proxy. Then traffic between your app and tazzy can flow over your own internal network. This will likely also improve your app's performance due to reduced latency.
When customers compose their HR technology stack from microservices from a number of vendors, security requirements are an even greater consideration than usual.
A major benefit of the peer to peer model API platform is that it gives customers a "single throat to choke" in the event of a breach of any app in the customer's ecosystem.
With all communications between apps happening through APIs, and all API authorization handled via the platform, in response to the customers install choices, the customer now has the power to instantly and completely cut off any badly behaving app. An example of this is the tool provided by Talent App Store to flush API security tokens. This instantly invalidates all previously issued tokens and requires that apps reauthorize before starting up communication to each other again.
There are many cases for marketplaces built on TAS. Examples:
Marketplace operators can lock down their marketplaces at various levels, including at the individual API level.
For example, an ATS might lock down key APIs like GET /jobs, so that only their own ATs can produce that API. This lets the operator protect their own product areas while being completely open for complementary products.
At Aotal, we operate the www.talentappstore.com marketplace, which has all of its levers set to "fully open". Any developer can add any app to the marketplace, using any APIs. We place all of our own apps into the www.talentappstore.com marketplace, including the popular SnapHire ATS.


Just saw the deepest, most human, loving talk of #rubyconf by @_jnf. Watch it when the video comes out! 💖
11/17/2017, 1:26:31 PM
Favs: 14
Retweets: 3
link--- layout: tweet ---
Just saw the deepest, most human, loving talk of #rubyconf by @_jnf. Watch it when the video comes out! 💖
11/17/2017, 1:26:31 PM
Favs: 14
Retweets: 3
link@_jnf The video for @_jnf's talk is up... Drop what you're doing and watch it! https://twitter.com/confreaks/status/936686347363934208
12/4/2017, 10:11:05 AM
Favs: 2
Retweets: 1
link


Multi-ttach
About
Multi-ttach
1. Vertical adhesion structure (for single-extruder printer)
Layer numbers
ex) 10, 20, 30
Temperature
ex) 210, 220, 210 (sequentially)
Adhesion type
Blob
Grid
2. Vertical adhesion structure (for dual-extruder printer)
Adhesion type
Blob
Grid
3. Horizontal stitching (for dual-extruder printer)


Annotation Property: format
http://purl.org/dc/terms/format
Annotations (7)
-
description "Examples of dimensions include size and duration. Recommended best practice is to use a controlled vocabulary such as the list of Internet Media Types [MIME]." (en-us)
-
hasVersion http://dublincore.org/usage/terms/history/#formatT-001
-
issued "2008-01-14" ()
-
modified "2008-01-14" ()
-
comment "The file format, physical medium, or dimensions of the resource." (en-us)
-
isDefinedBy http://purl.org/dc/terms/
-
label "Format" (en-us)
Superproperties (1)
Usage (3)


The component interaction (CI) domain models systems that blend data-driven and demand-driven styles of computation. As an example, the interaction between a web server and a browser is mostly demand-driven. When the user clicks on a link in the browser, it pulls the corresponding page from the web server. A stock-quote service can use a data-driven style of computation. The server generates events when stock prices change. The data drive the clients to update their displayed information. Such push/pull interaction between a data producer and consumer is common in distributed systems, and has been included in middleware services, most notably in the CORBA event service. These services motivated the design of this domain to study the interaction models in distributed systems, such as stock-quote services, traffic or weather information systems. Other applications include database systems, file systems, and the Click modular router.
An actor in a CI model can be active, which means it possesses its own thread of execution. For example, an interrupt source of an embedded system can be modeled as an active source actor. Such a source generates events asynchronously with respect to the software execution on the embedded processor. CI models can be used to simulate and study how the embedded software handles the asynchronous events, such as external interrupts and asynchronous I/O.
The CI domain is experimental and is shipped only with the full Ptolemy II release.
In the CSP domain (communicating sequential processes), created by Neil Smyth, actors represent concurrently executing processes, implemented as Java threads. These processes communicate by atomic, instantaneous actions called "rendezvous" (or sometimes, "synchronous message passing"). If two processes are to communicate, and one reaches the point first at which it is ready to communicate, then it stalls until the other process is ready to communicate. “Atomic? means that the two processes are simultaneously involved in the exchange, and that the exchange is initiated and completed in a single uninterruptable step. Examples of rendezvous models include Hoare’s communicating sequential processes (CSP) and Milner’s calculus of communicating systems (CCS). This model of computation has been realized in a number of concurrent programming languages, including Lotos and Occam.
The CSP domain is experimental and is shipped only with the full Ptolemy II release.
Rendezvous models are particularly well-matched to applications where resource sharing is a key element, such as client-server database models and multitasking or multiplexing of hardware resources. A key feature of rendezvous-based models is their ability to cleanly model nondeterminate interactions. The CSP domain implements both conditional send and conditional receive. It also includes an experimental timed extension.
The CSP domain is shipped only with the full Ptolemy II release.
In the CT domain (continuous time), created Jie Liu, actors represent components that interact via continuous-time signals. Actors typically specify algebraic or differential relations between inputs and outputs. The job of the director in the domain is to find a fixed-point, i.e., a set of continuous-time functions that satisfy all the relations.
The CT domain includes an extensible set of differential equation solvers. The domain, therefore, is useful for modeling physical systems with linear or nonlinear algebraic/differential equation descriptions, such as analog circuits and many mechanical systems. Its model of computation is similar to that used in Simulink, Saber, and VHDL-AMS, and is closely related to that in Spice circuit simulators.
Embedded systems frequently contain components that are best modeled using differential equations, such as MEMS and other mechanical components, analog circuits, and microwave circuits. These components, however, interact with an electronic system that may serve as a controller or a recipient of sensor data. This electronic system may be digital. Joint modeling of a continuous subsystem with digital electronics is known as mixed signal modeling. The CT domain is designed to interoperate with other Ptolemy domains, such as DE, to achieve mixed signal modeling. To support such modeling, the CT domain models of discrete events as Dirac delta functions. It also includes the ability to precisely detect threshold crossings to produce discrete events. Physical systems often have simple models that are only valid over a certain regime of operation. Outside that regime, another model may be appropriate. A modal model is one that switches between these simple models when the system transitions between regimes. The CT domain interoperates with the FSM domain to create modal models.
In the discrete-event (DE) domain, created by Lukito Muliadi, the actors communicate via sequences of events placed in time, along a real time line. An event consists of a value and time stamp. Actors can either be processes that react to events (implemented as Java threads) or functions that fire when new events are supplied. This model of computation is popular for specifying digital hardware and for simulating telecommunications systems, and has been realized in a large number of simulation environments, simulation languages, and hardware description languages, including VHDL and Verilog.
DE models are excellent descriptions of concurrent hardware, although increasingly the globally consistent notion of time is problematic. In particular, it over-specifies (or over-models) systems where maintaining such a globally consistent notion is difficult, including large VLSI chips with high clock rates. Every event is placed precisely on a globally consistent time line.
The DE domain implements a fairly sophisticated discrete-event simulator. DE simulators in general need to maintain a global queue of pending events sorted by time stamp (this is called a priority queue). This can be fairly expensive, since inserting new events into the list requires searching for the right position at which to insert it. The DE domain uses a calendar queue data structure for the global event queue. A calendar queue may be thought of as a hashtable that uses quantized time as a hashing function. As such, both enqueue and dequeue operations can be done in time that is independent of the number of events in the queue.
In addition, the DE domain gives deterministic semantics to simultaneous events, unlike most competing discrete-event simulators. This means that for any two events with the same time stamp, the order in which they are processed can be inferred from the structure of the model. This is done by analyzing the graph structure of the model for data precedences so that in the event of simultaneous time stamps, events can be sorted according to a secondary criterion given by their precedence relationships. VHDL, for example, uses delta time to accomplish the same objective.
The distributed discrete-event (DDE) domain, created by John Davis, can be viewed either as a variant of DE or as a variant of PN (described below). Still highly experimental, it addresses a key problem with discrete-event modeling, namely that the global event queue imposes a central point of control on a model, greatly limiting the ability to distribute a model over a network. Distributing models might be necessary either to preserve intellectual property, to conserve network bandwidth, or to exploit parallel computing resources.
The DDE domain maintains a local notion of time on each connection between actors, instead of a single globally consistent notion of time. Each actor is a process, implemented as a Java thread, that can advance its local time to the minimum of the local times on each of its input connections. The domain systematizes the transmission of null events, which in effect provide guarantees that no event will be supplied with a time stamp less than some specified value.
The DDE domain is experimental and is shipped only with the full Ptolemy II release.
The Dynamic Dataflow (DDF) domain, created by Gang Zhou, is a superset of the Synchronous Dataflow (SDF) and Boolean dataflow (BDF) domains. In the SDF domain, an actor consumes and produces a fixed number of tokens per firing. This static information makes possible compile-time scheduling. In the DDF domain, an actor could change the production and consumption rates after each firing. The scheduler makes no attempt to construct a compile-time schedule, neither does it attempt to statically answer questions about deadlock and boundedness, which are fundamentally undecidable. Instead, each actor has a set of sequential firing rules (patterns) and can be fired if one of them is satisfied, i.e., one particular firing pattern forms a prefix of sequences of unconsumed tokens at input ports. The scheduler dynamically schedules the firing of actors according to some criteria. The canonical actors in the DDF domain include Select and Switch, which consume or produce tokens on different channels based on the token received from the control port.
The DDF domain is experimental and is shipped only with the full Ptolemy II release.
The discrete-time (DT) domain, created by Chamberlain Fong, extends the SDF domain (described below) with a notion of time between tokens. Communication between actors takes the form of a sequence of tokens where the time between tokens is uniform. Multirate models, where distinct connections have distinct time intervals between tokens, are supported. The model of computation ensures that computations are always causal, meaning that output tokens that depend on input tokens are always produced with time values greater than or equal to those of the input tokens. In order to ensure causal semantics, this domain automatically introduces delays in multirate models.
The DT domain is experimental and is shipped only with the full Ptolemy II release.
The finite-state machine (FSM) domain, created by Xiaojun Liu, is radically different from the other Ptolemy II domains. The entities in this domain represent not actors but rather state, and the connections represent transitions between states. Execution is a strictly ordered sequence of state transitions. The FSM domain leverages the built-in expression language in Ptolemy II to evaluate guards, which determine when state transitions can be taken.
FSM models are excellent for control logic in embedded systems, particularly safety-critical systems. FSM models are amenable to in-depth formal analysis, and thus can be used to avoid surprising behavior.
FSM models have a number of key weaknesses. First, at a very fundamental level, they are not as expressive as the other models of computation described here. They are not sufficiently rich to describe all partial recursive functions. However, this weakness is acceptable in light of the formal analysis that becomes possible. Many questions about designs are decidable for FSMs and undecidable for other models of computation. A second key weakness is that the number of states can get very large even in the face of only modest complexity. This makes the models unwieldy.
Both problems can often be solved by using FSMs in combination with concurrent models of computation. This was first noted by David Harel, who introduced that Statecharts formalism. Statecharts combine a loose version of synchronous-reactive modeling (described below) with FSMs. FSMs have also been combined with differential equations, yielding the so-called hybrid systems model of computation.
The FSM domain in Ptolemy II can be hierarchically combined with other domains. We call the resulting formalism ?*charts? (pronounced “starcharts?) where the star represents a wildcard. Since most other domains represent concurrent computations, *charts model concurrent finite state machines with a variety of concurrency semantics. When combined with CT, they yield hybrid systems and modal models. When combined with SR (described below), they yield something close to Statecharts. When combined with process networks, they resemble SDL.
The Giotto domain, created by Christoph Meyer Kirsch, is an experimental domain designed for synchronous periodic systems. It is a timed domain, where each invocation of a component occurs at a well defined time instant, and its results are made available at the beginning of its next periodic cycle. The number of times that a component executes per iteration is called its frequency. The frequency defaults to one, but can be specified to be some other value, with certain technical constraints (frequencies in a model must be harmonically related).
The Giotto domain is experimental and is shipped only with the full Ptolemy II release.
The GR domain, created by Chamberlain Fong, is an experimental domain designed for three dimensional graphical animations. It is an untimed domain with particular optimizations aimed at reducing recomputations of scene graph components. A model consists of a set of three dimensional graphical elements, such as spheres, cylinders, etc., composed and transformed to form a scene graph. It is particularly interesting and useful to couple this domain with others, where the other domains provide the transformations for the graphical elements. For example, a model of a physical system might be constructed in CT and animated in GR.
The GR domain is experimental and is shipped only with the full Ptolemy II release.
The Heterochronous Dataflow (HDF) domain, created by Ye Zhou, is an extension of the Synchronous Dataflow (SDF) domain. In SDF, the set of port rates (called rate signatures) of an actor are constant. In HDF, however, rate signatures are allowed to change between iterations of the HDF schedule. The change of rate signatures can be modeled by state transitions of a modal model, in which each state refinement infers a set of rate signatures. Within each state, the HDF model behaves like an SDF model.
The HDF domain is experimental and is shipped only with the full Ptolemy II release.
In the process networks (PN) domain, created by Mudit Goel, processes communicate by sending messages through channels that can buffer the messages. Each actor is implemented as a Java thread. An actor that is a sender of a message need not wait for the receiver to be ready to receive the message. This style of communication is often called asynchronous message passing. There are several variants of this technique, but the PN domain specifically implements one that ensures determinate computation, namely Kahn process networks.
In the PN model of computation, the arcs represent sequences of data values (tokens), and the entities represent functions that map input sequences into output sequences. Certain technical restrictions on these functions are necessary to ensure determinacy, meaning that the sequences are fully specified. In particular, the function implemented by an entity must be prefix monotonic. The PN domain realizes a subclass of such functions, first described by Kahn and MacQueen, where blocking reads ensure monotonicity.
PN models are loosely coupled, and hence relatively easy to parallelize or distribute. They can be implemented efficiently in both software and hardware, and hence leave implementation options open. A key weakness of PN models is that they are awkward for specifying control logic, although much of this awkwardness may be ameliorated by combining them with FSM.
The PN domain in Ptolemy II has a highly experimental timed extension. This adds to the blocking reads a method for stalling processes until time advances. We anticipate that this timed extension will make interoperation with timed domains much more practical.
The Parameterized Synchronous Dataflow (PSDF) domain, created by Steve Neuendorffer, and Shuvra S. Bhattacharyya (University of Maryland at College Park) is an extension of the Synchronous Dataflow (SDF) domain that allows for more extensive reconfiguration of models. The SDF domain uses static analysis of variable dependence to detect cases where rate parameters may change. By default, SDF disallows reconfiguration of all rate parameters. If rate parameters are allowed to change, then SDF checks that rate parameters do not change during execution of the schedule, and declares that inferred rate parameters for external ports change as often as the internal rate parameters.
This domain offers two key extensions:
The PSDF domain is experimental and is shipped only with the full Ptolemy II release.
In the rendezvous domain, actors represent concurrently executing processes, implemented as Java threads. These processes communicate by atomic, instantaneous actions called "rendezvous" (or sometimes, "synchronous message passing"). If two processes are to communicate, and one reaches the point first at which it is ready to communicate, then it stalls until the other process is ready to communicate. "Atomic" means that the two processes are simultaneously involved in the exchange, and that the exchange is initiated and completed in a single uninterruptable step. Examples of rendezvous models include Hoare’s communicating sequential processes (CSP) and Milner’s calculus of communicating systems (CCS). This implementation supports both conditional rendezvous (where an actor is willing to rendezvous nondeterministically with any of a set of other actors) and multiway rendezvous (where a rendezvous involves more than two actors).
Rendezvous models are particularly well-matched to applications where resource sharing is a key element, such as client-server database models and multitasking or multiplexing of hardware resources. A key feature of rendezvous-based models is their ability to cleanly model nondeterminate interactions.
The synchronous dataflow (SDF) domain, created by Steve Neuendorffer, handles regular computations that operate on streams. Dataflow models, popular in signal processing, are a special case of process networks. Dataflow models construct processes of a process network as sequences of atomic actor firings. Synchronous dataflow (SDF) is a particularly restricted special case with the extremely useful property that deadlock and boundedness are decidable. Moreover, the schedule of firings, parallel or sequential, is computable statically, making SDF an extremely useful specification formalism for embedded real-time software and for hardware.
Certain generalizations sometimes yield to similar analysis. Boolean dataflow (BDF) models sometimes yield to deadlock and boundedness analysis, although fundamentally these questions are undecidable. Dynamic dataflow (DDF) uses only run-time analysis, and thus makes no attempt to statically answer questions about deadlock and boundedness.
In the synchronous/reactive (SR) model of computation , the arcs represent data values that are aligned with global clock ticks. Thus, they are discrete signals, but unlike discrete time, a signal need not have a value at every clock tick. The entities represent relations between input and output values at each tick, and are usually partial functions with certain technical restrictions to ensure determinacy. Examples of languages that use the SR model of computation include Esterel, Signal, Lustre, and Argos.
SR models are excellent for applications with concurrent and complex control logic. Because of the tight synchronization, safety-critical real-time applications are a good match. However, also because of the tight synchronization, some applications are overspecified in the SR model, limiting the implementation alternatives. Moreover, in most realizations, modularity is compromised by the need to seek a global fixed point at each clock tick.
The timed multitasking (TM) domain, created by Jie Liu, offers a model of computation based on priority-driven multitasking, as common in real-time operating systems (RTOSs), but with more deterministic behavior. In TM, actors (conceptually) execute as concurrent threads in reaction to inputs. The domain provides an event dispatcher, which maintains a prioritized event queue. The execution of an actor is triggered by the event dispatcher by invoking first its prefire() method. The actor may begin execution of a concurrent thread at this time. Some time later, the dispatcher will invoke the fire() and postfire() methods of the actor (unless prefire() returns false).
The amount of time that elapses between the invocation of prefire() and fire() depends on the declared executionTime and priority of the actor (or more specifically, of the port of the port receiving the triggering event). The domain assumes there is a single resource, the CPU, shared by the execution of all actors. At one particular time, only one of the actors can get the resource and execute. Execution of one actor may be preempted by another eligible actor with a higher priority input event. If an actor is not preempted, then the amount of time that elapses between prefire() and fire() equals the declared. executionTime. If it is preempted, then it equals the sum of the executionTime and the execution times of the actors that preempt it. The model of computation is more deterministic than the usual priority-driven multitasking because the actor produces outputs (in its fire() method) only after it has been assured access to the CPU for its declared executionTime. In this domain, the model time may be synchronized to real time or not.
The TM domain is experimental and is shipped only with the full Ptolemy II release.
Modeling of wireless sensor networks requires sophisticated modeling of communication channels, sensor channels, ad-hoc networking protocols, localization strategies, media access control protocols, energy consumption in sensor nodes, etc. This modeling framework is designed to support a component-based construction of such models. It is intended to enable the research community to share models of disjoint aspects of the sensor nets problem and to build models that include sophisticated elements from several aspects.
The Wireless domain is experimental and is shipped only with the full Ptolemy II release.


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This is documentation for the back-end component to an API serving json data for San Francisco Food Truck data.
The API is currently a lightweight wrapper on Socrata data API. The currently exposed API will query the Socrata datasource based on the geo-position of the client


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CMS Data Element Library - FHIR Implementation Guide - Local Development build (v0.0.1). See the Directory of published versions
As of 30 April 2020, these are the questionnaires that should be available based on the content of the public DEL
database.
| FHIR ID |
Status |
Subset |
| MDS3.0-SP-1.17 |
Active |
Swing Bed PPS Assessment |
| MDS3.0-SS-1.17 |
Active |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NP-1.17 |
Active |
Nursing Home PPS Assessment |
| MDS3.0-NC-1.17 |
Active |
Nursing Home Comprehensive Assessment |
| MDS3.0-ND-1.17 |
Active |
Nursing Home Discharge Assessment |
| MDS3.0-SO-1.17 |
Active |
Swing Bed OMRA Other Assessment |
| MDS3.0-ST-1.17 |
Active |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-NSD-1.17 |
Active |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-IPA-1.17 |
Active |
Interim Payment Assessment |
| MDS3.0-NOD-1.17 |
Active |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-SSD-1.17 |
Active |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NQ-1.17 |
Active |
Nursing Home Quarterly Assessment |
| MDS3.0-NS-1.17 |
Active |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-OSA-1.17 |
Active |
Optional State Assessment |
| MDS3.0-NPE-1.17 |
Active |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-SD-1.17 |
Active |
Swing Bed Discharge Assessment |
| MDS3.0-NO-1.17 |
Active |
Nursing Home OMRA Other Assessment |
| MDS3.0-NT-1.17 |
Active |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-SOD-1.17 |
Active |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-SD-1.00.2 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-NS-1.00.2 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-ST-1.00.2 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-SS-1.00.2 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NT-1.00.2 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-NQ-1.00.2 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-IPA-1.00.2 |
Retired |
Interim Payment Assessment |
| MDS3.0-NOD-1.00.2 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-ND-1.00.2 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-SP-1.00.2 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NC-1.00.2 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-NO-1.00.2 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-SO-1.00.2 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NP-1.00.2 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-NPE-1.00.2 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-OSA-1.00.2 |
Retired |
Optional State Assessment |
| MDS3.0-SOD-1.00.2 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-NSD-1.00.2 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SSD-1.00.2 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SS-1.00.6 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NS-1.00.6 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NSD-1.00.6 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-IPA-1.00.6 |
Retired |
Interim Payment Assessment |
| MDS3.0-ST-1.00.6 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-OSA-1.00.6 |
Retired |
Optional State Assessment |
| MDS3.0-SSD-1.00.6 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NPE-1.00.6 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-NT-1.00.6 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-SP-1.00.6 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NP-1.00.6 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-SD-1.00.6 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-NC-1.00.6 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-ND-1.00.6 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-SO-1.00.6 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NO-1.00.6 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-NOD-1.00.6 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-SOD-1.00.6 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-NQ-1.00.6 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-ST-1.10 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-SD-1.10 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-NP-1.10 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-IPA-1.10 |
Retired |
Interim Payment Assessment |
| MDS3.0-NO-1.10 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-NT-1.10 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-SP-1.10 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NSD-1.10 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NPE-1.10 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-SOD-1.10 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-NQ-1.10 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-SSD-1.10 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-OSA-1.10 |
Retired |
Optional State Assessment |
| MDS3.0-NOD-1.10 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-ND-1.10 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-NS-1.10 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-SS-1.10 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NC-1.10 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-SO-1.10 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NQ-1.11 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-ST-1.11 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-SSD-1.11 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SP-1.11 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-SD-1.11 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-SS-1.11 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-SO-1.11 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-SOD-1.11 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-NS-1.11 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NSD-1.11 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NOD-1.11 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-NO-1.11 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-ND-1.11 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-NC-1.11 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-NP-1.11 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-NT-1.11 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-NPE-1.11 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-OSA-1.11 |
Retired |
Optional State Assessment |
| MDS3.0-IPA-1.11 |
Retired |
Interim Payment Assessment |
| MDS3.0-NO-1.12 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-OSA-1.12 |
Retired |
Optional State Assessment |
| MDS3.0-NSD-1.12 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NP-1.12 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-SO-1.12 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-SOD-1.12 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-SSD-1.12 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NPE-1.12 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-NQ-1.12 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-NC-1.12 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-ND-1.12 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-NS-1.12 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-IPA-1.12 |
Retired |
Interim Payment Assessment |
| MDS3.0-SD-1.12 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-SP-1.12 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-SS-1.12 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NT-1.12 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-ST-1.12 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-NOD-1.12 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-NSD-1.13 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SD-1.13 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-SS-1.13 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NS-1.13 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NP-1.13 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-NOD-1.13 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-ST-1.13 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-SOD-1.13 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-IPA-1.13 |
Retired |
Interim Payment Assessment |
| MDS3.0-NO-1.13 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-OSA-1.13 |
Retired |
Optional State Assessment |
| MDS3.0-SSD-1.13 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SO-1.13 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-ND-1.13 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-NPE-1.13 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-NQ-1.13 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-SP-1.13 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NT-1.13 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-NC-1.13 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-NO-1.14 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-NS-1.14 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NOD-1.14 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-SOD-1.14 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-ND-1.14 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-SO-1.14 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NC-1.14 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-SS-1.14 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NP-1.14 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-SD-1.14 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-NT-1.14 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-SP-1.14 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NPE-1.14 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-OSA-1.14 |
Retired |
Optional State Assessment |
| MDS3.0-SSD-1.14 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-IPA-1.14 |
Retired |
Interim Payment Assessment |
| MDS3.0-ST-1.14 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-NSD-1.14 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NQ-1.14 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-OSA-1.15 |
Retired |
Optional State Assessment |
| MDS3.0-NSD-1.15 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SOD-1.15 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-ST-1.15 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-NS-1.15 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NPE-1.15 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-SSD-1.15 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-SD-1.15 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-SS-1.15 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-ND-1.15 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-IPA-1.15 |
Retired |
Interim Payment Assessment |
| MDS3.0-NQ-1.15 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-NO-1.15 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-NP-1.15 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-SP-1.15 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-NT-1.15 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |
| MDS3.0-SO-1.15 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NOD-1.15 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-NC-1.15 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-NOD-1.16 |
Retired |
Nursing Home OMRA Other and Discharge Assessment |
| MDS3.0-NC-1.16 |
Retired |
Nursing Home Comprehensive Assessment |
| MDS3.0-SD-1.16 |
Retired |
Swing Bed Discharge Assessment |
| MDS3.0-SO-1.16 |
Retired |
Swing Bed OMRA Other Assessment |
| MDS3.0-NPE-1.16 |
Retired |
Nursing Home/Swing Bed Part A PPS Discharge |
| MDS3.0-SP-1.16 |
Retired |
Swing Bed PPS Assessment |
| MDS3.0-ND-1.16 |
Retired |
Nursing Home Discharge Assessment |
| MDS3.0-SOD-1.16 |
Retired |
Swing Bed OMRA Other and Discharge Assessment |
| MDS3.0-OSA-1.16 |
Retired |
Optional State Assessment |
| MDS3.0-NQ-1.16 |
Retired |
Nursing Home Quarterly Assessment |
| MDS3.0-SSD-1.16 |
Retired |
Swing Bed OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-NSD-1.16 |
Retired |
Nursing Home OMRA Start of Therapy and Discharge Assessment |
| MDS3.0-IPA-1.16 |
Retired |
Interim Payment Assessment |
| MDS3.0-NO-1.16 |
Retired |
Nursing Home OMRA Other Assessment |
| MDS3.0-ST-1.16 |
Retired |
Swing Bed Tracking Assessment (entry/expired) |
| MDS3.0-NS-1.16 |
Retired |
Nursing Home OMRA Start of Therapy Assessment |
| MDS3.0-NP-1.16 |
Retired |
Nursing Home PPS Assessment |
| MDS3.0-SS-1.16 |
Retired |
Swing Bed OMRA Start of Therapy Assessment |
| MDS3.0-NT-1.16 |
Retired |
Nursing Home Tracking Assessment (entry/expired) |


WITNESS LIST House Administration Committee May 1, 2003-8:00A HR 476 For: Chisum, Warren (legislator) SB 1567 Amendment (Hamric/1) Registering, but not testifying: For: Oakley, Keith (Texas Municipal Police Association)


|
Class Summary |
| AllStatsHistory |
This bean stores the statistics gathered in the AllWordStats and AllTestStats
objects. |
| AllStatsRecord |
This bean stores the statistics gathered in the AllWordStats and AllTestStats
objects. |
| AllTestStats |
|
| AllWordStats |
|
| AllWordsTest |
|
| ChangeTestForm |
|
| Momento |
This is the object that keeps track of the application state |
| RatesOfForgetting |
This _bean_ has do do more than most. |
| SavedTest |
THis class is used to transfer data to and from the following xml format. |
| SavedTestResult |
In conjunction with a SavedTest object, this provides
the test result info for a word amung a list of words
that share the same test info in SavedTest after scoring. |
| SessionsReport |
This is a session report object from info that is held in the status.record file. |
| SimpleWord |
|
| Test |
Mon Apr 11 09:33:15 PDT 2005level 1 reading.testpass
Thu May 05 15:43:13 PDT 2005level 2 reading.testpass
Mon Jun 27 16:19:48 PDT 2005level 5 writing.testpass |
| TestStats |
This object is used to hold the properties of natural language testing results. |
| UserInfo |
|
| WeeklyReport |
Hold info from year-month-week.xml weekly session history reports in the
root_path/user_id/subject/history folder. |
| Word |
바닷가
beach
1
6
3
Sun Jan 30 13:43:01 PST 2005
level 0 reading.test
pass
Mon Apr 11 09:33:15 PDT 2005level 1 reading.testpass
Thu May 05 15:43:13 PDT 2005level 2 reading.testpass
Mon Jun 27 16:19:48 PDT 2005level 5 writing.testpass
|
| WordCategory |
|
| WordFilter |
This object is an include/exclude filter object to hold properties to limit
a list of words returned. |
| WordLastTestDates |
This class stores a hash of Word objects using a test date as a key. |
| WordNextTestDate |
This class represents a file in /category/lists/wntd type/ folder that looks like this: |
| WordStats |
|
| WordTestDates |
This _bean_, like RatesOfFogetting has to do more than most. |
| WordTestMemory |
|
| WordTestRecordOptions |
|
| WordTestResult |
|


typedef struct { word CAH_count; /* # of elements in chunk array */ word CAH_elementSize; /* Size of each element (in bytes) */ word CAH_curOffset; /* For internal use only */ word CAH_offset; /* Offset from start of chunk to first element */ } ChunkArrayHeader;
Every chunk array begins with a
ChunkArrayHeader
. This structure contains information about the chunk array. Applications should never change the contents of the
ChunkArrayHeader
; only the chunk array routines should do this. However, applications can examine the header if they wish.
Contents: There are four word-length fields in the
ChunkArrayHeader
:
_count
_elementSize
CAH_elementSize
will be zero.
_curOffset
ChunkArrayEnum()
for bookkeeping.
_offset
typedef word ChunkHandle;
location of a chunk in an LMem heap, combine the segment address of the heap with the chunk handle. From this location you can read the current offset of the chunk itself.
See Also: optr
,
LMemDeref()
.
typedef ByteFlags ClassFlags; #define CLASSF_HAS_DEFAULT 0x80 #define CLASSF_MASTER_CLASS 0x40 #define CLASSF_VARIANT_CLASS 0x20 #define CLASSF_DISCARD_ON_SAVE 0x10 #define CLASSF_NEVER_SAVED 0x08 #define CLASSF_HAS_RELOC 0x04 #define CLASSF_C_HANDLERS 0x02
This record is stored in the
ClassStruct
structure's
Class_flags
field. These flags are internal and may not be set or retrieved directly. See the entry on
@class
for more information about these flags.
typedef struct _ClassStruct { struct _ClassStruct *Class_superClass; /* superclass pointer */ word Class_masterOffset; /* offset to master offset in chunk */ word Class_methodCount; /* number of methods in this class */ word Class_instanceSize; /* size of entire master group */ word Class_vdRelocTable; /* offset to vardata relocation table */ word Class_relocTable; /* offset to relocation table */ ClassFlags Class_flags; /* a record of ClassFlags */ byte Class_masterMessages; /* internal flags for optimization */ } ClassStruct;
This is the structure that defines a class. It is internal and used only very rarely by anything other than the kernel and the UI.
typedef WordFlags ClipboardItemFlags; #define CIF_QUICK 0x4000 #define TIF_NORMAL 0x0000
typedef enum /* word */ { CIF_TEXT, CIF_GRAPHICS_STRING, CIF_FILES, CIF_SPREADSHEET, CIF_INK, CIF_GROBJ, CIF_GEODEX, CIF_BITMAP, CIF_SOUND_SYNTH, CIF_SOUND_SAMPLE } ClipboardItemFormat;
typedef struct { ClipboardItemFormatID CIFI_format; word CIFI_extra1; word CIFI_extra2; VMChain CIFI_vmChain; GeodeToken CIFI_renderer; } ClipboardItemFormatInfo;


| S.No | Date | programs | Event Schedule 2020-2021 |
|---|---|---|---|
| 1 | 11.07.2020 | workshop | Online Dance workshop- Style : Urban |
| 2 | 15.07.2020 | contest | Get your Grooves On |
| 3 | 21.07.2020 | webinar | Result announced for the competition |
| 4 | 31.07.2020 | webinar | Virtual sangamam |
| 5 | 01.08.2020 | show | Varam E-DJ for rotract club |
| 6 | 17.10.2020 | contest | Online Dance event |
| 7 | 27.11.2020 | show | Surprise flash mob |
| 8 | 19.12.2020 | contest | Dance competition for Dance club members |
| 9 | 23.01.2021 | workshop | Dance workshop |
| 10 | 13.02.2021 | contest | Intra college dance competition |
| 11 | 20.03.2021 | contest | Dance showcase |
| 12 | 15.05.2021 | contest | Dance competition for school students |
MR.JEGAN.N.K |
MR.ASWIN.N.K |
| IV CIVIL-A |
IV CIVIL-A |


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Looking to join a team that will leverage my experience, abilities, and skills to bring their team to a greater level of success.
Who's ready for an ideation session? Solving a problem and improving on existing solutions fuels and energizes me.
I have been fortunate to travel and have outdoor adventures from backpacking to scuba diving on multiple continents.
Proud father of Trippe and Emma and husband to Becca. An amazing adventure of twelve years that inspires me every day.
Master's Degree, 2001 – 2002
Sport Administration/Physical Education
Bachelor's Degree, 1997 – 2001
Sport Management/Physical Education
Serving in capacities from Program director to Interim Executive Director. Led most aspects of Central Florida Hillel while fulfilling mission to mentor and advise college students on identity exploration and personal development.
Graduated from the intensive three-month bootcamp that "forges" students into professional programmers. The program goes far beyond tactical skills and teaches students to think like a software engineer.
Supports the Galaxy admissions application on the Park Technology Operations Web/ticket Config Team. Primary responsibilities include supporting Admissions, Product Planning and Implementation departments as well as Web-stores for Orlando and Hollywood Resorts.


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Maharashtra Lottery Ganeshlaxmi Bhagyashali Results| Nov 18 | 5:00 PM
by Nishant MehtaLottery
Maharashtra results are announced at 5:00 pm, daily. Get Maharashtra Ganeshlaxmi Bhagyashali lottery results, announcements and updates for November 18 here.
Written By Nishant Mehta | Mumbai | Updated On: November 18, 2019 10:30 IST
The Maharashtra State Lottery came into existence from April 12, 1969. The state conducts various lotteries on a daily and weekly basis. The Maharashtra state lotteries hold Ganeshlaxmi Bhagyashali Lottery on Mondays. The time of the lottery draw is 5:00 pm. The lotteries conducted by the Maharashtra state are legal under the amendment and active since then. The Ganeshlaxmi Bhagyashali Lottery results will be announced soon. The state government has brought this lottery to existence so that the common man does not fall prey to duplicate lottery tickets.
Also Read: Maharashtra Lottery Results | Ganeshlaxmi Dhan | October 25, 2019
Ganeshlaxmi Bhagyashali Lottery Results for Today
Also Read: Maharashtra Lottery Results | Ganeshlaxmi Dhan | Oct 20 | Sunday
Prizes to be won in the Maharashtra Lottery
The Monday lottery titled Ganeshlaxmi Bhagyashali has many prizes. The first prize winner of the Maharashtra Lottery gets to take home ₹ 10,000. The second prize winner of the Maharashtra Lottery gets ₹ 5,000. Then, there are third and fourth prize winners for the lottery. The third position of the Maharashtra Lottery winner gets to take home a sum of ₹ 2,000. Followed by that, the fourth prize winner of Maharashtra Lottery gets a sum of ₹ 1,000. Apart from this, there is a fifth prize which is a sum of ₹ 400. The fifth prize of the Maharashtra Lottery is given to 75 random numbers.
Also Read: Maharashtra Lottery Results | Ganeshlaxmi Dhan | OCT 18| Friday
Other Maharashtra Lotteries over the week
Sunday Maharashtra Lottery
- GaneshLaxmi Vaibhav Weekly Draw
- Surabhi Ravi Weekly Draw
Monday Maharashtra Lottery
- GaneshLaxmi Bhagyashali Weekly Draw
- Surabhi Som Weekly Draw
Tuesday Maharashtra Lottery
- GaneshLaxmi Shubh Weekly Draw
- Surabhi Mangal Weekly Draw
Wednesday Maharashtra Lottery
- GaneshLaxmi Vijayee Weekly Draw
- Surabhi Budh Weekly Draw
Thursday Maharashtra Lottery
- GaneshLaxmi Gaurav Weekly Draw
- Surabhi Guru Weekly Draw
Friday Maharashtra Lottery
- GaneshLaxmi Dhan Weekly Draw
- Surabhi Shukra Weekly Draw
Saturday Maharashtra Lottery
- GaneshLaxmi Smrudhi Weekly Draw
- Surabhi Shani Weekly Draw
Also Read: Maharashtra Lottery Results | Ganeshlaxmi Gaurav | October 24, 2019
Things to remember for Maharashtra Lottery
The state of Maharashtra has shown huge participation in the lottery. A large number of people try their luck to take home large sums of money. But there are certain things that they must keep in mind. The tickets that the Maharashtra Lottery winners are going to present have to be intact and without any damage. The presentation of a mutilated ticket will not be accepted and he/she shall not be given the prize money. Also, the lottery ticket should not be torn or damaged. The winner should carry a proper identification card along with passport size photographs.


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News story
Jeanne Watson joins the review body that looks into pay, professional duties and working time of school teachers in England and Wales.
Jeanne Watson has been appointed as a new member of the School Teachers’ Review Body ( STRB ). Jeanne took up the position earlier this month and will be in post for 3 years.
The STRB provides independent advice to the government on pay and conditions for teachers and school leaders in England and Wales.
Dr Patricia Rice, Chair of the STRB said:
I am delighted to welcome Jeanne Watson to the review body. I am confident that her knowledge and experience as a former headteacher will assist the review body in its important work in considering pay and conditions for teachers.
The appointment process was run in accordance with the Code of Practice issued by the Office of the Commissioner for Public Appointments (OCPA) and was made on merit. Jeanne Watson confirmed that she has no political activity to declare and holds no other public appointments.
Jeanne Watson was a secondary headteacher for 22 years. Her experience includes 16 years as the headteacher of The Brooksbank School in Calderdale, an 11 to 18 academy, as well as 2 positions as the Executive Headteacher in schools requiring support. Jeanne has also worked as the chair of Calderdale Secondary Heads Association with responsibility for school-to-school improvement, and she has extensive experience of partnership working, headteacher training and local authority management.
Published: 2 October 2015


wiki / software / tzdata Edit this page
Edited (8a55f77) at 2021-07-02 by Dilyn Corner
TZDATA [0]
________________________________________________________________________________
The Time Zone Database (called tz, tzdb or zoneinfo) contains code and data that
represent the history of local time for many representative locations around the
globe.
 For example, if I
lived in the US Eastern timezone, I would replace TZ with "US/Eastern".
Lastly, copy the preferred timezone file to /etc/localtime:
+------------------------------------------------------------------------------+
| |
| $ cp TZ_PATH /etc/localtime |
| |
+------------------------------------------------------------------------------+
Remember to replace TZ_PATH with with the complete timezone path. For the
example given above, the complete TZ_PATH for "US/Eastern" would be
"/usr/share/zoneinfo/US/Eastern".
As an optional final step, remove the tzdata package.
+------------------------------------------------------------------------------+
| |
| $ kiss r tzdata |
| |
+------------------------------------------------------------------------------+
References
________________________________________________________________________________
[0] https://github.com/eggert/tz
[1] https://wiki.gentoo.org/wiki/Handbook:AMD64/Installation/Base#Timezone
[2] https://wiki.archlinux.org/index.php/System_time
________________________________________________________________________________
Dylan Araps (C) 2019-2020
kiss-community (C) 2020-2021
Dilyn Corner (C) 2021
Linux(R) is the registered trademark of Linus Torvalds in the U.S. and
other countries.


| 009:085 Khan | : |
And let not their wealth or their children amaze you. Allah's Plan is to punish them with these things in this world, and that their souls shall depart (die) while they are disbelievers. |
| 009:085 Maulana | : |
And let not their wealth and their children excite thy admiration. Allah only intends to chastise them thereby in this world, and (that) their souls may depart while they are disbelievers. |
| 009:085 Pickthal | : |
Let not their wealth nor their children please thee! Allah purposeth only to punish them thereby in the world, and that their souls shall pass away while they are disbelievers. |
| 009:085 Rashad | : |
Do not be impressed by their money or their children; GOD causes these to be sources of misery for them in this world, and their souls depart as disbelievers. |
| 009:085 Sarwar | : |
Their wealth or children should not tempt you; God wants to punish them through these things in this life so that they will die as disbelievers. |
| 009:085 Shakir | : |
And let not their property and their children excite your admlration; Allah only wishes to chastise them with these in this world and (that) their souls may depart while they are unbelievers |
| 009:085 Sherali | : |
And let not their riches and their children excite thy wonder; ALLAH only intends to punish them therewith in this world and that their souls may depart while they are disbelievers. |
| 009:085 Yusufali | : |
Nor let their wealth nor their (following in) sons dazzle thee: Allah's plan is to punish them with these things in this world, and that their souls may perish in their (very) denial of Allah. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > إرادته Pillars of Islam> Islamic> Oneness of Allah> His Will أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers الجهاد > الجهاد في سبيل الإسلام > أشرار الجند Jihad> The Call to Jihad>The Wicked Soldiers الجهاد > الجهاد في سبيل الإسلام > ذم المتخاذلين عن الجهاد Jihad> The Call to Jihad>Dispraise the Reluctant for the Holy War الجهاد > الغزوات > غزوة تبوك Jihad> The Holy Battles> Tabuk Battle تنظيم العلاقات المالية > أموال الكفار Organizing Financial Relationships>The Unbeleivers' Property تنظيم العلاقات المالية > الغنى > المترفون Organizing Financial Relationships>Richness>Those who Lead a Life of Luxury
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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election results: {{gov?.executive?.election}}
description: {{gov?.legislative?.description}}
elections: {{gov?.legislative?.election}}
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* disentanglement ?? Interesting term for the separation of content and style.
We propose an additional classifier that estimates the minimal amount of regularization required to enforce disentanglement. Thus both representations to- gether can completely explain an image while being independent of each other. Previous methods based on adversarial approaches fail to enforce this independence, while methods based on variational approaches lead to uninformative representations.
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image
[...] composing a complex interplay between the content and style of an image
Style and content can be seen to be independent of each other and viewers may be moved by either, even though in the greatest works the two aspects harmonise and complement each other.


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