Moody's lowers India's outlook to 'negative' from 'stable'
The outlook partly reflects government and policy ineffectiveness in addressing economic weakness, which led to an increase in debt burden from already high levels, the rating agency said
Moody’s Investors Service on November 7 changed its outlook on India’s ratings to "negative" from "stable", citing increasing risks that the country’s economic growth will remain lower than in the past.
The outlook partly reflects government and policy ineffectiveness in addressing economic weakness, which led to an increase in debt burden from already high levels, the rating agency said.
India’s economy grew only 5 percent year-on-year (YoY) between April and June, its weakest pace since 2013, as consumer demand and government spending slowed amid global trade frictions.
The international rating agency said it estimates that the country’s growth slowdown is in part long-lasting while backing its other ratings for India.
Reacting to the downgrade, the Finance Ministry said that India continues to be amongst the fastest-growing major economies in the world and that India's relative standing remains unaffected.
Citing the International Monetary Fund (IMF) outlook which stated that India's economy is set to grow at 6.1 percent in 2019 and 7 percent in 2020, the Ministry added that the government has taken a series of reforms in the financial and other sectors to strengthen the economy.
"Th government proactively took policy decisions in response to the global slowdown and these steps will lead to a positive outlook on India and attract capital flows," it stated.
"The fundamentals of the Indian economy remains robust with inflation under check. India continues to offer strong growth prospects in the near and medium-term," it added.


JavaScript Survey Form
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At JetBrains, we build the world's most powerful developer tools. Some of these tools and have public APIs, others are partially open source, and many are completely free to modify, reuse and distribute. This year, we delivered over individual commits to the open source community. And by using and contributing to open source projects at JetBrains, your support has the potential to help over 400,000 developers and growing around the world.
A few of our open source projects at JetBrains include:
Over developers have contributed to JetBrains software through the years, including community contributors who have never worked at JetBrains. Here are some of our most active contributors this year:
Learn how to contribute to your favorite JetBrains tool. All open source JetBrains software is hosted on GitHub, meaning that contributing is fast, easy and familiar.


Team Zeros
Home
About
Services
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Name
Select Type
Call
Text
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Heartless Ring
Forward unto that heartless ring!
There is no love but of the fight!
Wrap our hands so bones don't break!
Fire in our arms, the China Lakes!

Unconscious bodies lying on the ground
But in the midst of it all, where is my mother?
"Prizefighter"
"Right Hooker
"Mother Fucker"
But I'll never say, "Where is your father?"
We have no lover but that ring
There is no love but in this night,
Us lonely hearts needs to fight,
but those dear will not see us die!
So once more, dance and sing!
Forward unto that lonely ring!


Since ca65html is able to generate links between modules, the best way to use it is to supply all modules to it in one run, instead of running each file separately through it.
For now, ca65html will not read files included with .include
. Specifying
the include files as normal input files on the command line works in many
cases.
Since ca65html does not really parse the input, but does most of its work applying text patterns, it doesn't know anything about scoping and advanced features of the assembler. This means that it might miss a label. And, it might choose the wrong color for an item, in rare cases. Because it's just a tool for displaying sources in a nice form, I think that's OK. Anyway, if you find a conversion problem, you can send me a short piece of example input code. If possible, I will fix it.
While having colors in the output looks really nice, it has one drawback:
<span>
tags are created in the output,
the size of the output file literally will explode. It seems to be the price
that you have to pay for color.


|
Contiki 2.5
|
The event driven Contiki kernel does not provide multi-threading by itself - instead, preemptive multi-threading is implemented as a library that optionally can be linked with applications. More...
Modules | |
| Architecture support for multi-threading | |
The Contiki multi-threading library requires some architecture specific support for setting up and switching stacks. | |
Defines | |
| #define | MT_OK 1 |
| No error. | |
Functions | |
| void | mt_init (void) |
| Initializes the multithreading library. | |
| void | mt_remove (void) |
| Uninstalls library and cleans up. | |
| void | mt_start (struct mt_thread *thread, void(*function)(void *), void *data) |
| Starts a multithreading thread. | |
| void | mt_exec (struct mt_thread *thread) |
| Execute parts of a thread. | |
| void | mt_yield (void) |
| Voluntarily give up the processor. | |
| void | mt_exit (void) |
| Exit a thread. | |
| void | mt_stop (struct mt_thread *thread) |
| Stop a thread. |
The event driven Contiki kernel does not provide multi-threading by itself - instead, preemptive multi-threading is implemented as a library that optionally can be linked with applications.
This library consists of two parts: a platform independent part, which is the same for all platforms on which Contiki runs, and a platform specific part, which must be implemented specifically for the platform that the multi-threading library should run.
| void mt_exec | ( | struct mt_thread * | thread | ) |
Execute parts of a thread.
This function is called by a Contiki process and runs a thread. The function does not return until the thread has yielded, or is preempted.
| thread | A pointer to a struct mt_thread block that must be allocated by the caller. |
Definition at line 80 of file mt.c.
References mtarch_exec().
Referenced by main().
| void mt_exit | ( | void | ) |
Exit a thread.
This function is called from within an executing thread in order to exit the thread. The function never returns.
Definition at line 106 of file mt.c.
References mtarch_yield(), and NULL.
| void mt_start | ( | struct mt_thread * | thread, |
| void(*)(void *) | function, | ||
| void * | data | ||
| ) |
Starts a multithreading thread.
| thread | Pointer to an mt_thread struct that must have been previously allocated by the caller. |
| function | A pointer to the entry function of the thread that is to be set up. |
| data | A pointer that will be passed to the entry function. |
Definition at line 70 of file mt.c.
References mtarch_start().
Referenced by main().
| void mt_stop | ( | struct mt_thread * | thread | ) |
Stop a thread.
This function is called by a Contiki process in order to clean up a thread. The struct mt_thread block may then be discarded by the caller.
| thread | A pointer to a struct mt_thread block that must be allocated by the caller. |
Definition at line 114 of file mt.c.
References mtarch_stop().
| void mt_yield | ( | void | ) |
Voluntarily give up the processor.
This function is called by a running thread in order to give up control of the CPU.
Definition at line 92 of file mt.c.
References mtarch_yield(), and NULL.


These roads are at risk of flooding in Stourbridge
Pictures show how high the water levels had already risen earlier this afternoon
by Charlotte Regen, https://www.birminghammail.co.uk/authors/charlotte-regen/A flood warning has been issued on the River Stour amid fears it could burst its banks.
Pictures obtained by Black Country Live show the worst may have already happened in Dog Kennel Lane, Halesowen.
The images show the water has turned a murky brown with the rising level covering a tunnel opening.
You can view the pictures in the gallery below:
A warning posted on the .Gov website, told residents to take 'immediate action'. The update said: "River levels are rising at the Stourbridge river gauge as a result of the persistent heavy rainfall today (November 14). Consequently, flooding of property/roads and farmland is possible this evening.
"Flooding is affecting properties around Prestwood, Bells Mill, Rushall Close, Morrow Way, Bradley Road, Canal Street and Mill Race Lane.
"Further light rainfall is forecast this evening, then. We expect river levels to begin falling over night. We are closely monitoring the situation. Our incident response staff are actively checking river levels and the weather forecast.
"Please avoid using low lying footpaths and bridges near local watercourses and plan driving routes to avoid low lying roads near rivers, which may be flooded. This message will be updated this evening, or as the situation changes."
A yellow rain warning is in place across the Black Country and is expected to last until 11.45pm tonight.
Tomorrow's weather is said to be windy with isolated shower. Brighter spells will develop through the afternoon as the cloud thins and breaks. Maximum temperature will be up to 7 °C - according to the Met Office.
What does a yellow weather warning for rain mean?
Damage to some buildings, fast flowing or deep floodwater is possible, causing a danger to life and some communities may be cut off by flooded roads.
What to expect
Spray and flooding could lead to difficult driving conditions and some road closures as well as possible power cuts and loss of other services to some homes and businesses.
Where flooding occurs, there is a slight chance of delays or cancellations to train and bus services. There is a small chance that homes and businesses could be flooded, causing damage to some buildings.
There is a small chance of fast flowing or deep floodwater causing danger to life.
There is a small chance that some communities become cut off by flooded roads, along with power cuts and loss of other services to some homes and businesses.
Keep up-to-date with all things Dudley, Walsall, Sandwell and Wolverhampton on our Black Country Live Facebook page - where you'll get the latest news, travel, weather and events in your area.


Write EPC structures, configure this before write new EPC value
More...
|
| UInt32 | accessPassword |
| | The access password for the tags. A value of zero indicates no access password. More...
|
| |
| UInt16 | offset |
| | The offset, in the memory bank, of the first 16-bit word to write. More...
|
| |
| UInt16 | count |
| | The number of 16-bit words that will be written. This field must be between 1 and 31, inclusive. More...
|
| |
| S_EPC | epc |
| | A new epc to the 16-bit values to write to the tag's memory bank. More...
|
| |
Write EPC structures, configure this before write new EPC value
◆ TagWriteEpcParms()
| CSLibrary.Structures.TagWriteEpcParms.TagWriteEpcParms |
( |
| ) |
|
◆ accessPassword
| UInt32 CSLibrary.Structures.TagWriteEpcParms.accessPassword |
The access password for the tags. A value of zero indicates no access password.
◆ count
| UInt16 CSLibrary.Structures.TagWriteEpcParms.count |
The number of 16-bit words that will be written. This field must be between 1 and 31, inclusive.
◆ epc
| S_EPC CSLibrary.Structures.TagWriteEpcParms.epc |
A new epc to the 16-bit values to write to the tag's memory bank.
◆ offset
| UInt16 CSLibrary.Structures.TagWriteEpcParms.offset |
The offset, in the memory bank, of the first 16-bit word to write.
The documentation for this class was generated from the following file:


navigation elements
some content element
and some paragraph
more navigation elements
another content element
and some paragraph
..and a third content element
and some paragraph
..even more navigation elements
..and a fourth content element
and some paragraph


Turkish young women's fencing team takes gold at World Cup
by DAILY SABAHTurkey's national young women's fencing team won the gold medal at the Fencing World Cup held in Uzbekistan, the Turkish Fencing Federation said in a statement on Sunday.
The team – made up of three athletes, Deniz Selin Ünlüdağ, Aylin Çakır and Nisanur Erbil – received the champion title at the competition held in the Uzbek capital Tashkent.
The national team took the championship after defeating their Russian competitors 45-34 at the finals.
Turkish Fencing Federation Chairman Murat Atalı congratulated the national fencers, saying the federation will continue its activities with faith in its athletes.
During the awards ceremony, the team performed a military salute out of respect for fallen Turkish soldiers.


public interface IFilter
IOHandler
events to do something like transforming message
or performing measurement , etc.
A filter instance should be register to the controller's FilterChainBuilder
,
and it will be added to session's IFilterChain
, so event on this session will pass by the
filters on the chain one by one.
Note that
the event which is fired from the controller to outside will pass the chain
from Head to Tail and finally to the IOHandler.
On the contrary
the event fired from outside to the controller will pass the chain
form Tail o Head.
This is important if you use the filter chain to do message encode/decode or wrap/unwrap.
Don't make a wrong order when adding your filters into the chain.| 限定符和类型 | 方法和说明 |
|---|---|
void |
exceptionCaught(IFilterChain.Entry next,
IOSession session,
java.lang.Throwable cause)
Filters
IOHandler.exceptionCaught(IOSession,Throwable) event. |
void |
filterClose(IFilterChain.Entry prev,
IOSession session)
Filters
IOSession.closeNow() or a IOSession.closeOnFlush() method invocations. |
void |
filterWrite(IFilterChain.Entry prev,
IOSession session,
IWritePacket writePacket)
Filters
IOSession.write(Object) method invocation. |
void |
inputClosed(IFilterChain.Entry next,
IOSession session)
Filters
IOHandler.inputClosed(IOSession) event. |
void |
messageReceived(IFilterChain.Entry next,
IOSession session,
java.lang.Object message)
Filters
IOHandler.messageReceived(IOSession,Object) event. |
void |
messageSent(IFilterChain.Entry next,
IOSession session,
IWritePacket packet)
Forwards messageSent event to next filter.
|
void |
onPostAdd(IFilterChain parent,
java.lang.String name)
Invoked after this filter is added to the specified parent.
|
void |
onPostRemove(IFilterChain parent,
java.lang.String name)
Invoked after this filter is removed from the specified parent.
|
void |
onPreAdd(IFilterChain parent,
java.lang.String name)
Invoked before this filter is added to the specified parent.
|
void |
onPreRemove(IFilterChain parent,
java.lang.String name)
Invoked before this filter is removed from the specified parent.
|
void |
sessionClosed(IFilterChain.Entry next,
IOSession session)
Filters
IOHandler.sessionClosed(IOSession) event. |
void |
sessionIdle(IFilterChain.Entry next,
IOSession session,
IdleStatus status)
Filters
IOHandler.sessionIdle(IOSession,IdleStatus) event. |
void |
sessionOpened(IFilterChain.Entry next,
IOSession session)
Filters
IOHandler.sessionOpened(IOSession) event. |
void onPreAdd(IFilterChain parent, java.lang.String name) throws java.lang.Exception
parent
- the parent who called this methodname
- the name assigned to this filterjava.lang.Exception
- If an error occurred while processing the eventvoid onPostAdd(IFilterChain parent, java.lang.String name) throws java.lang.Exception
parent
- the parent who called this methodname
- the name assigned to this filterjava.lang.Exception
- If an error occurred while processing the eventvoid onPreRemove(IFilterChain parent, java.lang.String name) throws java.lang.Exception
parent
- the parent who called this methodname
- the name assigned to this filterjava.lang.Exception
- If an error occurred while processing the eventvoid onPostRemove(IFilterChain parent, java.lang.String name) throws java.lang.Exception
parent
- the parent who called this methodname
- the name assigned to this filterjava.lang.Exception
- If an error occurred while processing the eventvoid sessionOpened(IFilterChain.Entry next, IOSession session)
IOHandler.sessionOpened(IOSession)
event.next
- next filter entrysession
- The IOSession
which has received this eventjava.lang.Exception
- If an error occurred while processing the eventvoid sessionClosed(IFilterChain.Entry next, IOSession session) throws java.lang.Exception
IOHandler.sessionClosed(IOSession)
event.next
- next filter entrysession
- The IOSession
which has received this eventjava.lang.Exception
- If an error occurred while processing the eventvoid exceptionCaught(IFilterChain.Entry next, IOSession session, java.lang.Throwable cause)
IOHandler.exceptionCaught(IOSession,Throwable)
event.next
- next filter entrysession
- The IOSession
which has received this eventcause
- The exception that cause this event to be receivedjava.lang.Exception
- If an error occurred while processing the eventvoid messageSent(IFilterChain.Entry next, IOSession session, IWritePacket packet)
next
- next filter entrysession
- The IOSession
which has to process this invocationpacket
- The IWritePacket
to processvoid inputClosed(IFilterChain.Entry next, IOSession session)
IOHandler.inputClosed(IOSession)
event.next
- next filter entrysession
- The IOSession
which has received this eventjava.lang.Exception
- If an error occurred while processing the eventvoid filterClose(IFilterChain.Entry prev, IOSession session)
IOSession.closeNow()
or a IOSession.closeOnFlush()
method invocations.prev
- prev filter entrysession
- The IOSession
which has to process this method
invocationjava.lang.Exception
- If an error occurred while processing the eventvoid filterWrite(IFilterChain.Entry prev, IOSession session, IWritePacket writePacket) throws java.lang.Exception
IOSession.write(Object)
method invocation.prev
- prev filter entrysession
- The IOSession
which has to process this invocationwritePacket
- The IWritePacket
to processjava.lang.Exception
- If an error occurred while processing the eventvoid messageReceived(IFilterChain.Entry next, IOSession session, java.lang.Object message) throws java.lang.Exception
IOHandler.messageReceived(IOSession,Object)
event.next
- next filter entrymessage
- The received messagejava.lang.Exception
- If an error occurred while processing the eventvoid sessionIdle(IFilterChain.Entry next, IOSession session, IdleStatus status) throws java.lang.Exception
IOHandler.sessionIdle(IOSession,IdleStatus)
event.next
- next filter entrysession
- The IOSession
which has received this eventstatus
- The IdleStatus
typejava.lang.Exception
- If an error occurred while processing the event


by Ivy Duckett
The briard, or berger de brie, is a large breed of dog traditionally used as a herder and guardian of sheep.
The briard, which is believed to have originated in France, has been bred for centuries to herd and protect sheep. The breed was used by the French Army as sentries, messengers, and to search for wounded soldiers because of its fine sense of hearing. Briards were used in the First World War almost to the point of extinction. Currently the population of briards is slowly recovering. Charlemagne, Napoleon, Thomas Jefferson, and Lafayette all owned briards.


|
Bitstream Interpretation Library (BIL)
0.1
|
Namespace for Virtex-5 command code constants. More...
Typedefs | |
| typedef boost::uint32_t | command_t |
| Command code type. |
Functions | |
| const char * | toString (command_t command) |
| Returns a string representation of given command code. |
Variables | |
| const command_t | NULLCMD = 0x0 |
| const command_t | WCFG = 0x1 |
| const command_t | MFW = 0x2 |
| const command_t | LFRM = 0x3 |
| const command_t | RCFG = 0x4 |
| const command_t | START = 0x5 |
| const command_t | RCAP = 0x6 |
| const command_t | RCRC = 0x7 |
| const command_t | AGHIGH = 0x8 |
| const command_t | SWITCH = 0x9 |
| const command_t | GRESTORE = 0xa |
| const command_t | SHUTDOWN = 0xb |
| const command_t | GCAPTURE = 0xc |
| const command_t | DESYNCH = 0xd |
| const command_t | IPROG = 0xf |
| const command_t | CRCC = 0x10 |
| const command_t | LTIMER = 0x11 |
| const char *const | NULLCMD_STRING = "NULL" |
| const char *const | WCFG_STRING = "WCFG" |
| const char *const | MFW_STRING = "MFW" |
| const char *const | LFRM_STRING = "LFRM" |
| const char *const | RCFG_STRING = "RCFG" |
| const char *const | START_STRING = "START" |
| const char *const | RCAP_STRING = "RCAP" |
| const char *const | RCRC_STRING = "RCRC" |
| const char *const | AGHIGH_STRING = "AGHIGH" |
| const char *const | SWITCH_STRING = "SWITCH" |
| const char *const | GRESTORE_STRING = "GRESTORE" |
| const char *const | SHUTDOWN_STRING = "SHUTDOWN" |
| const char *const | GCAPTURE_STRING = "GCAPTURE" |
| const char *const | DESYNCH_STRING = "DESYNCH" |
| const char *const | IPROG_STRING = "IPROG" |
| const char *const | CRCC_STRING = "CRCC" |
| const char *const | LTIMER_STRING = "LTIMER" |
Namespace for Virtex-5 command code constants.
The following command codes are recognized by Virtex-5 command register.
| typedef boost::uint32_t bil::V5CommandCode::command_t |
Command code type.
Definition at line 23 of file V5CommandCode.hpp.
| const char * bil::V5CommandCode::toString | ( | command_t | command | ) |
Returns a string representation of given command code.
Definition at line 29 of file V5CommandCode.cpp.
| const command_t bil::V5CommandCode::NULLCMD = 0x0 |
Definition at line 25 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::WCFG = 0x1 |
Definition at line 26 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::MFW = 0x2 |
Definition at line 27 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::LFRM = 0x3 |
Definition at line 28 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::RCFG = 0x4 |
Definition at line 29 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::START = 0x5 |
Definition at line 30 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::RCAP = 0x6 |
Definition at line 31 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::RCRC = 0x7 |
Definition at line 32 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::AGHIGH = 0x8 |
Definition at line 33 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::SWITCH = 0x9 |
Definition at line 34 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::GRESTORE = 0xa |
Definition at line 35 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::SHUTDOWN = 0xb |
Definition at line 36 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::GCAPTURE = 0xc |
Definition at line 37 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::DESYNCH = 0xd |
Definition at line 38 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::IPROG = 0xf |
Definition at line 39 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::CRCC = 0x10 |
Definition at line 40 of file V5CommandCode.hpp.
| const command_t bil::V5CommandCode::LTIMER = 0x11 |
Definition at line 41 of file V5CommandCode.hpp.
| const char *const bil::V5CommandCode::NULLCMD_STRING = "NULL" |
Definition at line 10 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::WCFG_STRING = "WCFG" |
Definition at line 11 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::MFW_STRING = "MFW" |
Definition at line 12 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::LFRM_STRING = "LFRM" |
Definition at line 13 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::RCFG_STRING = "RCFG" |
Definition at line 14 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::START_STRING = "START" |
Definition at line 15 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::RCAP_STRING = "RCAP" |
Definition at line 16 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::RCRC_STRING = "RCRC" |
Definition at line 17 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::AGHIGH_STRING = "AGHIGH" |
Definition at line 18 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::SWITCH_STRING = "SWITCH" |
Definition at line 19 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::GRESTORE_STRING = "GRESTORE" |
Definition at line 20 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::SHUTDOWN_STRING = "SHUTDOWN" |
Definition at line 21 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::GCAPTURE_STRING = "GCAPTURE" |
Definition at line 22 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::DESYNCH_STRING = "DESYNCH" |
Definition at line 23 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::IPROG_STRING = "IPROG" |
Definition at line 24 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::CRCC_STRING = "CRCC" |
Definition at line 25 of file V5CommandCode.cpp.
| const char *const bil::V5CommandCode::LTIMER_STRING = "LTIMER" |
Definition at line 26 of file V5CommandCode.cpp.


Click here for detailed instructions on how to use the app!
Particle physics (also known as high-energy physics) is a branch of physics that studies the nature of the particles that form matter and radiation. Particle physics investigates the smallest detectable particles and the fundamental interactions necessary to explain their behaviour. It also looks for entirely new particles and interactions.
Image: Wikimedia Commons: Palomca
It was thought at one time that atoms were the smallest fundamental particles. By "fundamental" we mean that they are not compsed of smaller particles. We know now that atoms have a tiny but dense, positive nucleus and a cloud of negative electrons (e-). The nucleus consists of protons (p+), which are positively charged, and neutrons (n), which have no charge. The protons and neutrons themselves are not fundamental particles. They are composed of even smaller particles called quarks.
The theory called the Standard Model of Particle Physics (often just called the Standard Model) explains what the world is made up of and what holds it together.
The fundamental parts of the model include: * 6 quarks * 6 leptons (the best-known lepton is the electron!) * Force carrier particles corresponding to three of the four fundamental forces * The Higgs boson (only just discovered in 2012)
All stable, known matter is made up of quarks and leptons. In fact, all of atomic matter is made up only of up and down quarks (combinations of which make up protons and neutrons) and electrons.
Interactions between particles can be thought of in terms of exchanging force carrier particles. There are three fundamental forces in the Standard Model: * Electromagnetism, combining electricity and magnetism, mediated by the photon * Strong force, which holds together quarks and the nuclei, mediated by gluons * Weak force, which govern particle decay, mediated by the W and Z boson
There is a fourth force, gravity, which is not included in the Standard Model. How gravity fits together with the other three forces is one of the fundamental questions in physics.
Quarks Quarks only exist in groups with other quarks and are never found alone. The heaviest known fundamental particle is the top quark, which is as heavy as a gold nucleus. Composite particles made of two or more quarks are called hadrons. Protons and neutrons are examples of hadrons.
Leptons The best-known lepton is the electron (e-). The other two charged leptons are the muon(μ) and the tau(τ), which are charged like electrons but have more mass. The muon is heavier than the electron and tau is heavier still. The other leptons are the three types of neutrinos (ν). They have no electrical charge, very little mass, and are not easily detected.
For every type of matter particle found, there also exists a corresponding **antimatter** particle, or **antiparticle**. their masses are the same, but properties such as charge are opposite. For example an electron is negatively charged whereas an anti-electron (called a positron) is positively charged. When a matter particle meets its antiparticle they annihilate and convert into pure **ENERGY** in the form of photons.
Image: NASA, ESA, M. J. Jee and H. Ford et al. (Johns Hopkins Univ.)
The visible matter we are familiar with only makes up less than 5% of the universe. The rest of the matter does not interact via the electromagnetic force. This means that this unknown matter does not absorb, reflect or emit light, making it extremely hard to spot, and has therefore been given the name "dark matter". Researchers have been able to infer the existence of dark matter only from the gravitational effect it seems to have on visible matter.
Dark matter it and in of itself makes up only another 27% of the universe. Something called dark energy is believed to make up the rest. So most of what makes up the universe is of an unknown nature and "dark".
One way particle physicist search for new particles and interactions is to smash other particles together and to study what happens. This is an extremely simplified way to describe it, but it's not inaccurate.
A good analogy of how physicists study particles through colliding is the car crash example. Imagine a person wanted to look inside cars. By crashing two cars together at very high speeds, we can break the cars apart and see inside. In the same way, physicists crash two particles together in order to break them and study the inside.
Reality is even stranger, as what really could happen is that the pieces of the car combine to make entirely new things that weren't even originally part of the car. It could be like crashing togther two cars head-on and producing a dinosaur! It's best not to take this analogy too far though.
One way to explain this through the well-known equation E = mc2. Mass is simply a form of energy. Matter can be converted into energy and vice-versa. As stated before, if one combines an electron and a positron they annihilate and leave behind energy. This energy can then be used to form new particles, but only with a combined mass up to the initial energy. If one gives the initial particles more and more energy and collide them, then more and heavier particles can be created from their collisions.
One way particle physicists look for dark matter is to search for entirely new particles, ones that could possibly be dark matter.
Accelerators The particles are given more and more energy in a process known as acceleration, in which the particles' speeds are increased more and more until they can nearly (but never reach) the speed of light c. At the points where the particles collide are detectors that record the "debris" from the collisions.
Detectors A detector (actually multiple detectors) is large complicated device that consist of layers of material that exploit the different properties of particles to catch and measure the energy and momentum of each one. In general, they can detect the stable particles left over from decays of unstable (and perhaps more interesting!) particles like W, Z, and Higgs bosons that get created in the collisions.
Events The detector are like massive digital cameras that take snapshots of the collisions (which happen billions of times a second). Each snapshot is called an event. Each collected event is analyzed and "reconstructed" to see what was produced in the event.
Image: CERN
The most powerful accelerator ever built is the Large Hadron Collider (LHC) at CERN in Geneva, accelerating protons and colliding them with a total energy of 13 TeV.
A few facts about the Large Hadron Collider: * It is located 174 metres underground. * It is 27 kilometres in circumference - so big it runs underneath the French-Swiss border, near Geneva.  That's colder than the space between the stars!
The Large Hadron Collider accelerates protons to nearly the speed of light, in clockwise and anti-clockwise directions, and then collides them at four locations around its ring. At these points, detectors such as CMS detect and measure the "debris".
The "visible" particles from these collisions such as electrons, muons, and photons come from the decay of heavier unstable particles such as W, Z, and Higgs bosons. Quarks are produced as well but quickly interact with other quarks to form "jets" of particles.
By measuring precisely as possible properties of these electrons, muon, photons, and jets we can reconstruct the properties of the particles that produced them such as their mass. This includes measuring how much energy they have, their charge (where applicable), where they were produced, and in which direction they went.
The protons in the collisions travel along the beam pipe (depicted in the image below; this is along the z axis of our coordinate system). The detectors themselves form a "cylindrical onion" of layers of detectors in order to detect all that comes out of the collision. One such layer (the electromagnetic calorimeter, which measures energy) is shown in blue below.
Before each collision, the protons travel along the direction of the Large Hadron Collider beams, and not in directions perpendicular to the beams (which are defined as the x and y directions). This means that their momenta in these perpendicular directions – their "transverse momentum" – is zero. A fundamental principle of physics is that momentum is conserved (constant) and so, after the collision, the sum of the transverse momenta of the products of the collision should still be zero. Therefore, if we add up the transverse momenta of all the visible particles produced in the collision and find it not to be zero, then this could be because we have missed the momentum carried away by invisible particles.
Image: Wikimedia Commons: Maksim
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All waveform images: Wikimedia Commons: Omegatron
Image: Wikimedia Commons: Abdull
Image: Wikimedia Commons: Nicostella
Image: Wikimedia Commons: Niau33
Image: Flickr: smokeghost
Image: Flickr: pablosanz
Back to the IPSOS performance video Go to the IPSOS App


1: <?php
2: /*
3:
4: MIT License
5: Copyright 2013-2019 Zordius Chen. All Rights Reserved.
6: Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
7: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
8: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
9:
10: Origin: https://github.com/zordius/lightncandy
11: */
12:
13: /**
14: * file to keep LightnCandy flags
15: *
16: * @package LightnCandy
17: * @author Zordius<EMAIL_ADDRESS>18: */
19:
20: namespace LightnCandy;
21:
22: /**
23: * LightnCandy class to keep flag consts
24: */
25: class Flags
26: {
27: // Compile time error handling flags
28: const FLAG_ERROR_LOG = 1;
29: const FLAG_ERROR_EXCEPTION = 2;
30:
31: // JavaScript compatibility
32: const FLAG_JSTRUE = 8;
33: const FLAG_JSOBJECT = 16;
34: const FLAG_JSLENGTH = 33554432;
35:
36: // Handlebars.js compatibility
37: const FLAG_THIS = 32;
38: const FLAG_PARENT = 128;
39: const FLAG_HBESCAPE = 256;
40: const FLAG_ADVARNAME = 512;
41: const FLAG_NAMEDARG = 2048;
42: const FLAG_SPVARS = 4096;
43: const FLAG_PREVENTINDENT = 131072;
44: const FLAG_SLASH = 8388608;
45: const FLAG_ELSE = 16777216;
46: const FLAG_RAWBLOCK = 134217728;
47: const FLAG_HANDLEBARSLAMBDA = 268435456;
48: const FLAG_PARTIALNEWCONTEXT = 536870912;
49: const FLAG_IGNORESTANDALONE =<PHONE_NUMBER>;
50: const FLAG_STRINGPARAMS =<PHONE_NUMBER>;
51: const FLAG_KNOWNHELPERSONLY =<PHONE_NUMBER>;
52:
53: // PHP behavior flags
54: const FLAG_STANDALONEPHP = 4;
55: const FLAG_EXTHELPER = 8192;
56: const FLAG_ECHO = 16384;
57: const FLAG_PROPERTY = 32768;
58: const FLAG_METHOD = 65536;
59: const FLAG_RUNTIMEPARTIAL = 1048576;
60: const FLAG_NOESCAPE = 67108864;
61:
62: // Mustache compatibility
63: const FLAG_MUSTACHELOOKUP = 262144;
64: const FLAG_ERROR_SKIPPARTIAL = 4194304;
65: const FLAG_MUSTACHELAMBDA = 2097152;
66: const FLAG_NOHBHELPERS = 64;
67: const FLAG_MUSTACHESECTION =<PHONE_NUMBER>;
68:
69: // Template rendering time debug flags
70: const FLAG_RENDER_DEBUG = 524288;
71:
72: // alias flags
73: const FLAG_BESTPERFORMANCE = 16388; // FLAG_ECHO + FLAG_STANDALONEPHP
74: const FLAG_JS = 33554456; // FLAG_JSTRUE + FLAG_JSOBJECT + FLAG_JSLENGTH
75: const FLAG_INSTANCE = 98304; // FLAG_PROPERTY + FLAG_METHOD
76: const FLAG_MUSTACHE =<PHONE_NUMBER>; // FLAG_ERROR_SKIPPARTIAL + FLAG_MUSTACHELOOKUP + FLAG_MUSTACHELAMBDA + FLAG_NOHBHELPERS + FLAG_MUSTACHESECTION + FLAG_RUNTIMEPARTIAL + FLAG_JSTRUE + FLAG_JSOBJECT
77: const FLAG_HANDLEBARS = 159390624; // FLAG_THIS + FLAG_PARENT + FLAG_HBESCAPE + FLAG_ADVARNAME + FLAG_SPACECTL + FLAG_NAMEDARG + FLAG_SPVARS + FLAG_SLASH + FLAG_ELSE + FLAG_RAWBLOCK
78: const FLAG_HANDLEBARSJS = 192945080; // FLAG_JS + FLAG_HANDLEBARS
79: const FLAG_HANDLEBARSJS_FULL = 429235128; // FLAG_HANDLEBARSJS + FLAG_INSTANCE + FLAG_RUNTIMEPARTIAL + FLAG_MUSTACHELOOKUP
80: }
81:


--- layout: default title: Home ---
Great to see you.
I am an assistant professor in Psychological Methods at the University of Amsterdam. I am a Veni laureate working on idiographic and developmental theories of human intelligence. And I am founder and director of EdAptiv, building tomorrow's technology for today's education.
I am passionate about strengthening educational and psychological theory and practice with statistical methods and models.
Previously, I was a postdoctoral researcher at the Amsterdam Center for Learning Analytics, VU University Amsterdam, and a senior researcher at EducationLab Netherlands.
Follow me on Mastodon for updates.


{% set suppress_feedback = false %} {% extends '_layouts/layout.html' %} {% block page_title %}{% endblock %} {% block body_css_classes %}nhsuk-frontend{% endblock %} {% block content %}
Minor injuries unit
St Georges Centre
You must call to book an appointment
St Georges Centre
St Georges Road
Middleton
Leeds
LS10 4UZ
6.8 miles away
Get directions (opens a new tab or window)
Minor injury units (also called urgent treatment centres) are open for at least 12 hours every day. They can diagnose and deal with many of the most common problems people go to A&E for.


--- title: Fraud POC keywords: fastai sidebar: home_sidebar summary: "This is a prototype/poof-of-concept of a ML solution for Fraud Detection for e-commerce," description: "This is a prototype/poof-of-concept of a ML solution for Fraud Detection for e-commerce," ---
#hide
Dask is a distributed processing engine for Python that can be used to process high data loads distributed environments, such a cluster. It has APIs built on top of popular Numpy and Pandas libraries.
hopeit.engine: is an open-source library that enables to quickly develop microservices in Python. hopeit.engine is built on top of aiohttp to provide http endpoints and async processing, and also provides distributed processing of streaming events using Redis Streams.
The repo shows and end-to-end example of:
DISCLAIMER: The objective of this project is to show an example on how Data + Feature Extraction + Model Trainig + Prediction can be developed and prepared for production. The data used for this example is randomly generated orders, and neither the features selected and model parameteres were optimized given the nature of data used.
To enable development, testing and working with the data in an unified environment I use nbdev. nbdev allows to explore data, create the services and test using Jupyter Notebooks. hopeit.engine and Dask plays well also with Juypyter notebooks, so the whole pipeline and prediction service can be developed and tested from Jupyter.
Let's get started:
I recommend to install Anaconda (virtualenv can be used also -- not tested --)
Create a conda environment, activate and install jupyterlab, nbdev and dask
conda create -n fraud-poc python=3.7
conda activate fraud-poc
conda install jupyterlab
conda install -c conda-forge dask graphviz python-graphviz
pip install nbdev
nbdev_install_git_hooks
Install hopeit.engine from provided library:
cd install
source install-hopeit-engine.sh
cd ..
Finally install this project and dependencies in development mode
pip install -e .
In order to run the microservices (optional) Redis is required. You can run redis for development, from the provided docker configuration:
cd docker
pip install docker-compose
docker-compose up -d redis
cd ..
To open, visualize and edit notebooks run from the root folder of the project
jupyter lab
Notebooks prefixed from 00 to 08 are created for each component/event of the pipeline and prediction service. Check each notebook for a brief description of what they do:
Cells marked with #export, will generate a python file inside fraud_poc/ folder that can be executed by hopeit.engine
To generate/update the code, run the cell containing "! nbdev_build_lib" (Code is already generated in the repo)
Usually the last cells of the notebooks, are a test case that can be run locally and invoke the generated file, gather data and do some checks/analysis.
Inside config/ folder there are configuration files to run two microservices:
training_pipeline.json
and openapi-training.json
describe the service to run data preparation and training pipeline using hopeit.engine
fraud-service.json
and openapi-service.json
configure a service to perform real-time predictions on new orders based on the training model and aggregated data
hopeit_server run --config-files=config/server.json,config/training-pipeline.json --api-file=config/openapi-training.json --start-streams --port=8020
You should see a couple endpoints in http://localhost:8020/api/docs
Try It
1) create-sample-data: will create random orders in parquet format into folder ./data/raw/
. This dataset is partitioned by time periods, i.e. 1 file x month in this example. Once this step is finished the end of the job will be notified using hopeit.engine streams funcionallity and the next job will take place once the event is consumed.
2) preprocess: reads data generated in previous step and creates new output files partitioned by customer_id and email, so aggregations on those two dimensions can be perform more efficiently. Again, once the job is finished, the next step will be notified.
3) feature-calc: calculates aggregations on customer_ids and emails (i.e. accumulates most recent emails, ip_addrs, counts, order_amounts, etc) and stored a new data set of orders enriched with this extra information.
4) training-data: prepares data for training: obtaing lables for the order (in this POC is jus assigned using a combination of calculations with some randomness) and creates a more balanced dataset subsampling non-fraud cases, and creates a validation set using more recent non-fraud and fraud labeled transactions. Next step is notified when data is ready.
5) train-model: trains an XGBoost model on sampled data using Dask distributed implementation. Validates model precision and recall using validation dataset and if validation passes a configured threshold, model is copied to be used in prediction service.
6) prepare-db: stores most recent customer_id and email features calculated in step 3) into a Redis database that can be used for real-time prediction service. (Notice that this data should be continuosly updated on new orders but this is not provided in this example)
Since data generation could be tedious, there is a second endpoint that allows to run just form step 02, assuming you already have raw data:
To run the service prediction service:
hopeit_server run --config-files=config/server.json,config/fraud-service.json --api-file=config/openapi-service.json --start-streams --port=8021
You can try the endpoint providing order information using in http://localhost:8021/api/docs
curl -X GET "http://localhost:8021/api/fraud-poc/0x0x1-service/test/find-orders?prefix=*&num_items=10" \
-H "Accept: application/json"
This POC only can predict fraud for known customer_id and email in the generated data.Using a customer_id and email, pass a new order to the service using the Live: Predict Endpoint:
And check the results, all calcualted features plus an is_fraud field is returned:
I Hope you enjoyed it!


{% extends "base.html" %} {% set title = "503 - Service Unavailable" %} {% block content %}
Please try again in a few minutes.


Due to the dual nature of the project (Java backend and JavaScript frontend) building and developing using the MapStore 2 framework requires two distinct set of tools
A basic knowledge of both tools is required.
To start developing the MapStore 2 framework you have to:
npm install
After a while (depending on the network bandwidth) the full set of dependencies and tools will be downloaded to the node_modules subfolder.
npm run examples
npm start
Then point your preferred browser to http://localhost:8081.
The HomePage contains links to the available demo applications.
MapStore2 uses JSDoc to annotate the components, so the documentation can be automatically generated using docma.
Please see http://usejsdoc.org/ for further information about code documentation.
Refer to the existing files to follow the documentation style:
To install docma:
npm install -g docma
While developing you can generate the documentation to be accessible in the local machine by:
npm run doctest
The resulting doc will be accessible from http://localhost:8081/mapstore/docs/
For the production deploy a different npm task must be used:
npm run doc
The documentation will be accessible from the /mapstore/docs/ path
The generated folders can be removed with:
npm run cleandoc
The development instance uses file watching and live reload, so each time a MapStore 2 file is changed, the browser will reload the updated application.
Use your favourite editor / IDE to develop and debug on the browser as needed.
We suggest to use one of the following:
When you are running the application locally using npm start
you can debug the application with redux dev tools using the flag ?debug=true
http://localhost:8081/?debug=true#/?_k=c51bb5
It also integrates with the browser's extension, if installed.
This way you can monitor the application's state evolution and the action triggered by your application.
TBD
To run the MapStore 2 frontend test suite you can use:
npm test
You can also have a continuously running watching test runner, that will execute the complete suite each time a file is changed, launching:
npm run continuoustest
To run ESLint checks launch:
npm run lint
To run the same tests Travis will check (before a pull request):
npm run travis
More information on frontend building tools and configuration is available here
Maven is the main tool for building and deploying a complete application. It takes care of:
To create the final war, you have several options:
full build, including submodules and frontend (e.g. GeoStore)
./build.sh [version_identifier]
Where version_identifier is an optional identifier of the generated war that will be shown in the settings panel of the application.
fast build (will use the last compiled version of submodules and compiled frontend)
mvn clean install
-Dmapstore2.version=[version_identifier]
To generate the changelog for a specific release you can use github_changelog_generator
The tool will overwrite the CHANGELOG.md file.
Install (Ubuntu)
sudo apt-get install ruby-dev
sudo gem install rake
sudo gem install github_changelog_generator
Configure
export CHANGELOG_GITHUB_TOKEN="«your-40-digit-github-token»"
as an alternative use --token.github_changelog_generator
file :since-tag
(the first tag you want to exclude)future-release
=YYYY.NN.mm with the release tagFor example the .github_changelog_generator
file for the changes between 2017.02.00 and 2017.03.00 release can look like the following:
future-release=2017.03.00
since-tag=2017.01.00
Run
github_changelog_generator
You should need to increase max_user_watches
variable for inotify.
echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf && sudo sysctl -p


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--- title: Search sitemap: false permalink: /search/ data_defined: - apidefinitions - broadcastops ---
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{% extends 'base.html' %} {% block title %}Sheet{% endblock %} {% block header %}
{{vm['result']['text']}}
{%endif%}All data will be stored in your own Google Sheet. To enable this service to access your sheet, you should give our
service account Editor access. Share your Google Sheet with the following service
account email as shown in
Figure 1:
In order for this service to identify your sheet, you must set up your Sheet ID here. The
[Sheet_ID] can be found in the URL:
https://docs.google.com/spreadsheets/d/[Sheet_ID]/edit#gid=0
Also shown in Figure 1.
The service expects certain sheets within your Google Sheet to exist. The column headers in each sheet is also very specific and should not be modified. This step will automatically add the necessary sheets to your Google Sheet if they do not exist yet. Figure 2 shows the sheets that are created with this button:
Please log in to access this page.
{% endif %} {% endblock %}


GitHub Projects
Just a little bit about myself
Languages
- HTML
- CSS
- JavaScript
- C#
Personal
- I was born and raised in and around Denver, Colorado.
- My wife and I moved to Tacoma, WA in October of 2012
- I started my coding career at Code Fellows in Seattle in July of 2017
- I enjoy front end dev work the most.


Max number of parallel deliveries to the same destination
smtp_destination_concurrency_limit
This parameter limits the number of parallel deliveries to the same destination
via the smtp delivery agent.
The default limit is the
default_destination_concurrency_limit parameter. It is probably
safer to limit the concurrency to 10.


This website is our call to action. We know how overwhelming environmental campaigns are. They leave you frustrated, wondering what you can do and feeling helpless. That's why our aim is to constantly update this site with reliable information, and links to sources that allow you to research and find out as much or as little as you want. Our other aim in doing this is to convince you that all is not lost. Peter the Cheetah will continue to evade the businessman as long as we continue to hold him accountable. Don't beat yourself up for what you can't do. Just choose to buy from a more sustainable brand next time you're at the supermarket. Use our research to figure out which brands to avoid, and put your support towards those who are doing the right thing. Happy reading/watching!
Book for further reading: Sustainable Businesses by Helen Kopnina and John Blewitt
Kopnina, H., & Blewitt, J. (2015). Sustainable Business: Key Issues. Routledge


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{% set can_vary = g.application_permissions.vary_lon in g.session.user.permissions %} {% set can_cancel = g.application_permissions.cancel_lon in g.session.user.permissions %} {% if not charge_item.end_date and (can_vary or can_cancel) %}This charge was cancelled on {{ charge_item.end_date.strftime('%-d %B %Y') }}


?AMERICAN
GRASSES
FROM
THE
U.
8.
NATIONAL
HERBARIUM,
SMITHSONIAN
INSTITUTION
1012.
Bouteloua
heterostega
(Trin.)
Griffiths
BOTANICAL
NEW
YORK
BOTANICAL
GARDEN
CUBA:
Habana
Vedado.
Collector,
E.
L.
EKMAN
November
10,
1921
01530076
THIS
SPECIMEN
SHOULD
BE
CITED,
"AMER.
GR.
NAT.
HERB.
01530076
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Class: Celluloid::SyncCall
Overview
Synchronous calls wait for a response
Instance Attribute Summary (collapse)
-
- (Object) task
readonly
Returns the value of attribute task.
Attributes inherited from Call
#arguments, #block, #caller, #method
Instance Method Summary (collapse)
- - (Object) cleanup
- - (Object) dispatch(obj)
-
- (SyncCall) initialize(caller, method, arguments = [], block = nil, task = Fiber.current.task)
constructor
A new instance of SyncCall.
Methods inherited from Call
Constructor Details
- (SyncCall) initialize(caller, method, arguments = [], block = nil, task = Fiber.current.task)
A new instance of SyncCall
33 34 35 36 |
# File 'lib/celluloid/calls.rb', line 33 def initialize(caller, method, arguments = [], block = nil, task = Fiber.current.task) super(caller, method, arguments, block) @task = task end |
Instance Attribute Details
- (Object) task (readonly)
Returns the value of attribute task
31 32 33 |
# File 'lib/celluloid/calls.rb', line 31 def task @task end |
Instance Method Details
- (Object) cleanup
66 67 68 69 |
# File 'lib/celluloid/calls.rb', line 66 def cleanup exception = DeadActorError.new("attempted to call a dead actor") respond ErrorResponse.new(self, exception) end |
- (Object) dispatch(obj)
38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
# File 'lib/celluloid/calls.rb', line 38 def dispatch(obj) begin check_signature(obj) rescue Exception => ex respond ErrorResponse.new(self, AbortError.new(ex)) return end begin result = obj.send @method, *@arguments, &@block rescue Exception => exception # Exceptions that occur during synchronous calls are reraised in the # context of the caller respond ErrorResponse.new(self, exception) if exception.is_a? AbortError # Aborting indicates a protocol error on the part of the caller # It should crash the caller, but the exception isn't reraised return else # Otherwise, it's a bug in this actor and should be reraised raise exception end end respond SuccessResponse.new(self, result) end |


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Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Serves 4
Dietary
To make the toasted breadcrumbs for this recipe, chop up 70g/3oz bread (to include crusts) and spread on a baking sheet. Bake in a preheated 150C/300F/Gas 2 oven for 30 minutes or until lightly toasted; then process to crumbs in a food processor.
Beat the butter and sugar together well until pale. Add the orange zest and beat very well. Add the flour, ground almonds and breadcrumbs, and mix thoroughly into a soft dough.
Place a large piece of baking parchment onto a work surface. Place the dough at one end of the paper, then roll it in the paper to make a sausage shape roughly 5cm/2in in diameter. Seal the sausage in the paper and chill overnight.
Preheat the oven to 170C/340F/Gas 3.
Line a large baking sheet with baking parchment. Cut the roll of shortcake dough into slices the thickness of a one-pound coin and lay them on the baking parchment. Bake for 12-15 minutes or until golden-brown. Leave the shortcake to cool and become crisp. Choose the 12 best shortcakes and store the rest for another time.
When ready to serve, whip the cream to soft peaks. Apply a comma-shaped swirl of cream onto each of four plates (this helps stop the shortcake sliding around) and sit a shortcake on top. Spoon on a generous spoonful of cream and heap with a few raspberries, then sprinkle a little caster sugar over. Apply another small spoonful of cream and place another shortcake on it. Repeat with more cream, a few more raspberries and another little blob of cream, then place the last shortcake on top and add a dusting of icing sugar. Repeat this process to make four shortcake stacks. (If your raspberries aren't quite sweet enough, layer the shortcakes with a mix of half cream and half custard instead of all cream, adding a touch of vanilla extract and lemon juice to taste.)


1 in 5 people have a mental illness. Stigma from mental health issues is caused by people thinking that your condition will cause you to
do something wrong or dangerous. The world needs to remove the stigma of mental illness. One way to do this would be for people with the
disorders to talk about there condition, but self-stigma is just as bad of a problem. The other solution for social stigma is to make
mental illness lose its meaning and power by turning it meaningless. The way to do this is making jokes about people having conditions
they don't have.  The more a term is used, the less power it holds in your mind. This will help remove stigma by removing the
association between mental illness and danger.


When news of this show came out, I was really keen to get involved. But then I was forced to change job, and found myself travelling, and unable to keep up the commitment. Sadly, I had to drop out. But when I later joined the Limelight Productions, I found that there was still a requirement for a couple of bit players, and so I was able to take a part as one of the Roman guards,
This was a remarkable show. I saw tears at every production rehearsal. There were even tears at the band call, so powerful was the show, the music and the direction. There was a focus and an intensity that I had only ever seen at Summer School. There wasn't a single "hanger-on" in the company, nobody giving it less than their all. And it showed in the power of the performances.
Truly, this was a remarkable show.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/De.20Morgan's.20Proof.html ---
I'm new to Lean, can someone help me out with this proof of this version of De Morgan's Law? I'm having trouble coming up with the forward proof
theorem demorgans_law : ¬(p ∨ q) ↔ ¬p ∧ ¬q := iff.intro( -- ) ( assume h : ¬p ∧ ¬q, not_or h.left h.right )
I'd start like this:
theorem demorgans_law (p q : Prop) : ¬(p ∨ q) ↔ ¬p ∧ ¬q := iff.intro( λ h,⟨_,_⟩ ) ( assume h : ¬p ∧ ¬q, not_or h.left h.right )
and there is a red error on each of the _'s. I'd then try and figure out how to solve them. Actually, I'm a mathematician, so really I'd go straight into tactic mode...
Ok so I can do it but it might look incomprehensible. Do you just want a solution or a hint?
a comprehensible solution would be nice!
Then you want to use tactic mode!
assume h, and intro (assume hp, h (or.inl hp)) (assume hq, h (or.inr hq))
theorem demorgans_law' (p q : Prop) : ¬(p ∨ q) ↔ ¬p ∧ ¬q := begin split, { intro hnpq, split, { intro hp, apply hnpq, left, assumption }, { intro hq, apply hnpq, right, assumption } }, sorry end
half way there
theorem demorgans_law' (p q : Prop) : ¬(p ∨ q) ↔ ¬p ∧ ¬q := begin split, { intro hnpq, split, { intro hp, apply hnpq, left, assumption }, { intro hq, apply hnpq, right, assumption } }, intro hnpnq, intro hpq, cases hnpnq with hnp hnq, cases hpq, contradiction, contradiction end
My impression is that computer scientists prefer these term mode things that you were writing, but I've been teaching mathematicians this stuff and tactic mode seems to be far easier for them.
theorem demorgans_law (p q : Prop) : ¬(p ∨ q) ↔ ¬p ∧ ¬q := ⟨λ h, ⟨λ hp, h $ or.inl hp, λ hq, h $ or.inr hq⟩, λ ⟨hnp, hnq⟩ hn, or.elim hn hnp hnq⟩
Computer science proof, incomprehensibled to the max. Chris posted the perhaps happy medium you were looking for.
theorem demorgans_law'' (p q : Prop): ¬(p ∨ q) ↔ ¬p ∧ ¬q := iff.intro( assume h, and.intro (assume hp, h (or.inl hp)) (assume hq, h (or.inr hq)) ) ( assume h : ¬p ∧ ¬q, not_or h.left h.right )
Ok this makes a lot of sense to me, thanks so much.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% extends 'base.html' %} {% from 'macros.html' import header %} {% block header_social %} {{ header("About", None, request.path) }} {% endblock %} {% block content %}
Illinois Sunshine is a tool for browsing political contributions in the state of Illinois.
The data comes from the Illinois State Board of Elections, which has been collecting this data electronically since 1994. We built Illinois Sunshine to give journalists, activists and citizens better access to this data.
Any political committee that exceeds $5,000 in either receipts or expenditures over the period of a year (this is the filing threshold). Once a committee exceeds the filing threshold, they are covered by the Illinois Campaign Disclosure Act (PDF) and are required to report contributions and expenditures accordingly.
Hover or tap for additional details on how campaign finance is reported.
| Finance Type | Amount | Summary Totals | Itemized Disclosure | Detailed Disclosure |
|---|---|---|---|---|
| Contributions | $0 - $150 | |||
| $150 - $1,000 | ||||
| $1,000+ | ||||
| Non-independent expenditures | $0 - $150 | |||
| $150+ | ||||
| Independent expenditures | $0 - $150 | |||
| $150 - $1,000 | ||||
| $1,000+ |
The following are campaign disclosure forms required under the Illinois Campaign Disclosure Act:
| Campaign Disclosure Form | Disclosure type | Description |
|---|---|---|
| D-1 Form (Statement of Organization) | Committees | A form providing basic committee information, registering a political committee with the Illinois State Board of Elections. This form is filed after a political committee has exceeded $5,000 in either receipts or expenditures over a year (the filing threshold), at which point they are covered by the Illinois Campaign Disclosure law and thus are required to report contributions and expenditures accordingly. |
| D-1-A Form | Committees | A supplement to the D-1 Form, only required if the political committee indicated is a legislative caucus committee established by 5+ members in the same Senate caucus or 10+ members in the same House of Representatives caucus. |
| D-2 Form (Report of Campaign Contributions and Expenditures) |
Expenditures Contributions |
A form for filing a quarterly report, a final report, or an amendment to a report. These reports include summary totals of a political committee's contributions, expenditures, debts, fund balances, and investments over a given reporting period. |
| Schedule A | Contributions | A form for reporting all itemized contributions to a political committee over $150. These itemized contributions are reported quarterly. |
| Schedule A-1 | Contributions | A form for reporting a contribution of $1,000 or more from a single source. |
| Schedule B | Expenditures | A form for reporting all itemized expenditures from a political committee over $150. These itemized expenditures are reported quarterly. |
| Schedule B-1 | Ind. Expenditures | A form for reporting an independent expenditure of $1,000 or more within 30 days of an election. (An independent expenditure is an expenditure made without coordination between a spender and a candidate.) |
| Schedule B-9 | Ind. Expenditures | A form for reporting all itemized independent expenditures from a political committee over $150. (An independent expenditure is an expenditure made without coordination between a spender and a candidate.) |
| Schedule C | Contributions | A form for reporting all itemized outstanding debts and obligations of a political committee over $150 |
| Schedule I | Contributions | A form for reporting all itemized in-kind contributions to a political committee over $150. |
We make available all raw candidate, committee and contribution data from the Illinois State Board of Elections. However, prior to July 1999, when electronic filing was introduced, much of the data is incorrect or missing. Keep this in mind when working with the data.
Interested in learning more about campaign finance disclosure in Illinois? Here are a few useful resources:
Want to download the raw data powering this website?
We get daily updates directly from the Illinois State Board of Elections and make everything open and availabe for download in a handy zip file:
We also have an API for the developers out there. The Illinois Sunshine API can be used to do powerful searches, get the top donors to a committee, and fetch detailed data about individual donations, expenditures and committees.
All the code for this site is open source on GitHub. It was built with:
This is a project by the Illinois Campaign for Political Reform (ICPR) and built by DataMade.
Found a bug? Report it on our issue tracker.
Have a suggestion? Contact ICPR.


Filling in the missing entries of a partially observed data is one of fundamental problems in various disciplines of mathematical science. For many cases, data at our interests have canonical form of matrix in that the problem is posed upon a matrix with missing values to fill in the entries under preset assumptions and models. We provide a collection of methods from multiple disciplines under Matrix Completion, Imputation, and Inpainting. See Davenport and Romberg (2016) <doi:10.1109/JSTSP.2016.2539100> for an overview of the topic.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.14.0) |
| Imports: | stats, CVXR, Rcpp, Rdpack, ROptSpace, RSpectra, nabor, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-09-16 |
| Author: | Kisung You [aut, cre] |
| Maintainer: | Kisung You <kyou at nd.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| In views: | MissingData |
| CRAN checks: | filling results |
| Reference manual: | filling.pdf |
| Package source: | filling_0.2.0.tar.gz |
| Windows binaries: | r-devel: filling_0.2.0.zip, r-release: filling_0.2.0.zip, r-oldrel: filling_0.2.0.zip |
| OS X binaries: | r-release: filling_0.2.0.tgz, r-oldrel: filling_0.2.0.tgz |
| Old sources: | filling archive |
Please use the canonical form https://CRAN.R-project.org/package=filling to link to this page.


Go to the source code of this file.


Firebox's Black Friday Deals Include a Big Black Box
by Holly BrockwellBlack Friday is in full swing and Firebox is offering a big black box of mysteries.
The Black Box apparently contains over £130 worth of Firebox's bestselling products and costs £74.99, which is a saving of at least £55.01. It looks a bit NSFW with the censoring, but we assure you it's all above board:
Firebox does a mystery box every year but this year's is apparently a doozy, with "all new, improved contents for 2019" (hmm, how can it be new AND improved? #pedantry) available for 24 hours only.
The site's top 50 products page currently includes things like the Pennywise Balloon lamp, a nose hair trimmer shaped like a ray-gun and a wacky waving inflatable tube guy. Top ranking products also include the Black Box itself, which would be an interesting find inside your Black Box -- just boxes all the way down.
There's also 20% off Firebox Exclusives for Black Friday, which includes:
If you've got your eye on one of those mysterious Black Boxes though, you'd best be quick – they're apparently pretty limited, and only available for 24 hours. The 20% off exclusives is even quicker: it ends at midnight tonight (the 29th).
However, there'll also be 15% off everything on the site starting midnight on Saturday (ie Sunday morning) for 24 hours.


We are a 4-person collective from the I High School in Kraków, proficient in computer science, electronics and related fields with a mission to send a small can-sized device up to a lofty altitude of 3 km in the CanSat 2021 competition organized by the Copernicus Science Centre and ESERO-Poland.
We will be investigating the possibility of using small can-sized probes to locate and track airplanes. This can be useful in for example so called "dead zones" over the atlatic, where in case of a crash the search party can only estimate the possible location of planes this could shorten the time needed to find survivors.
The global infrastructure that saves lives: our mission is to study the applicability of a deployable SOS probe. Which can be used to track people in situations of distress and in dire need for help. Should we succeed in our endevaour - the likeliness of saving lives with such technology is high.
 To adapt it to real life usage, our CanSat will be water-resistant and have an ability to be secured to an inflatable buoy for future recovery or an unmanned vehicle.
With the processing power of the freshly baked Raspberry Pi Compute Module 4 we are able to offload several Mbps of the data stream to be initially decoded and compresed on board. Therefore, the area of the rescue mission can be greatly expanded upon while maintaining a low spectral footprint.


{% extends 'layout.html' %} {% block pageTitle %} Respond to an enquiry letter {% endblock %} {% block beforeContent %} {% endblock %} {% block outerContent %} {% endblock %} {% block content %}
You'll find the code for this page at /app/views/index.html.
There is also an example page, which contains a selection of NHS.UK frontend styles and components.
Get started by using the:


public class DssContext
extends java.lang.Object
| Constructor and Description |
|---|
DssContext(javax.sound.sampled.SourceDataLine sourceDataLine,
int blockLength)
Create a DSS context from a source data line with a fixed sample size.
|
| Modifier and Type | Method and Description |
|---|---|
void |
extractData(java.nio.ByteBuffer audioDataBuffer)
The method extractData() extracts the desired audio data from the
audioDataBuffer provided by the DigitalSignalSynchronizer, performs some
necessary reformatting on it, and outputs the audio samples data into a
two-dimensional array called audioChannels[][].
|
float[][] |
getAudioData()
Returns a properly formatted audio sample array for each audio channel
originally provided by the DSS data buffer.
|
int |
getOffset()
Returns the data buffer offset to start reading from.
|
int |
getSampleSize()
Returns the sample size to read from the data buffer.
|
javax.sound.sampled.SourceDataLine |
getSourceDataLine()
Returns the monitored source data line.
|
public DssContext(javax.sound.sampled.SourceDataLine sourceDataLine, int blockLength)
sourceDataLine
- The source data line.blockLength
- The sample size.public void extractData(java.nio.ByteBuffer audioDataBuffer)
audioDataBuffer
- public float[][] getAudioData()
public int getSampleSize()
public int getOffset()
public javax.sound.sampled.SourceDataLine getSourceDataLine()
SourceDataLine
object.


| Interface | Description |
|---|---|
| LynxNack.ReasonCode |
| Class | Description |
|---|---|
| LynxAck |
Created by bob on 2016-02-26.
|
| LynxDiscoveryCommand |
Performs discovery respecting half-duplex aspect of EIA485 communications link.
|
| LynxDiscoveryResponse |
The response message sent in reply to a LynxDiscoveryCommand.
|
| LynxFailSafeCommand |
Created by bob on 2016-03-06.
|
| LynxGetModuleLEDColorCommand |
Created by bob on 2016-03-06.
|
| LynxGetModuleLEDColorResponse |
Created by bob on 2016-03-06.
|
| LynxGetModuleLEDPatternCommand |
Created by bob on 2016-05-07.
|
| LynxGetModuleLEDPatternResponse |
Created by bob on 2016-05-07.
|
| LynxGetModuleStatusCommand |
Created by bob on 2016-03-06.
|
| LynxGetModuleStatusResponse |
Created by bob on 2016-03-06.
|
| LynxKeepAliveCommand |
Created by bob on 2016-02-27.
|
| LynxNack |
Created by bob on 2016-03-04.
|
| LynxQueryInterfaceCommand |
Created by bob on 2016-03-06.
|
| LynxQueryInterfaceResponse |
Created by bob on 2016-03-06.
|
| LynxSetDebugLogLevelCommand |
LynxSetDebugLogLevelCommand controls the tracing that is sent out through the debug port.
|
| LynxSetModuleLEDColorCommand |
Created by bob on 2016-03-06.
|
| LynxSetModuleLEDPatternCommand |
Created by bob on 2016-05-07.
|
| LynxSetModuleLEDPatternCommand.Steps | |
| LynxSetNewModuleAddressCommand |
Created by bob on 2016-03-06.
|
| LynxStandardCommand<RESPONSE extends LynxMessage> |
Created by bob on 2016-03-04.
|
| LynxStandardResponse |
Created by bob on 2016-04-01.
|
| Enum | Description |
|---|---|
| LynxNack.StandardReasonCode |


Welcome to Parts Unlimited MRP system
A Fabrikam Subsidiary
Dealers
Quotes
Orders
Deliveries
Catalog


By continuing, you agree to Amazon's Angular Clone Conditions of use & Privacy Notice.
Mohan's(My) github Profile


This webpage describes the challenges, improvements to, and results from the Combined 2018/2020 Integrated Report (IR) programming project. The project goal was to increase the efficiency and repeatability of water quality assessments for the State of Utah.
The Combined 2018/2020 Integrated Report (IR) assesses the quality of the surface waters in the state and identifies waterbodies that are not meeting water quality standards. These standards support the designated beneficial uses that protect water quality for drinking water, recreation, aquatic life, and agriculture. Waterbodies that do not meet one or more of their beneficial uses are classified as impaired in the IR and placed on the Clean Water Act 303(d) list.
The IR supports DWQ‘s commitment to protecting and improving the water quality of Utah‘s flowing surface waters of the state, canals, lakes, reservoirs, and ponds by providing critical information and thorough analyses of water quality conditions, waterbody impairments, statewide trends, and emerging issues. DWQ uses these data to identify areas with impairments and prioritize projects, TMDLs, and best management practices (BMPs) to improve and enhance water quality in affected areas.
The Draft Combined 2018/2020 IR reports on 913 assessment units (AUs), over 82.5 thousand miles of flowing surface waters of the state and canals, and nearly 1.5 million lake, reservoir, and pond acres. The water quality assessment data cover the period between October 1, 2010 and September 30, 2018 and include updates to previous reports. The data used in the report were collected by DWQ and 12 other federal, state, and local agencies.
DWQ is committed to continuous improvement to increase performance and implement innovations that advance quality, efficiency, and effectiveness. The Integrated Report (IR) team developed and implemented a number of process improvements for the Combined 2018/2020 IR that increased automation, accuracy, efficiency, and consistency.
Emilie Flemer<EMAIL_ADDRESS>Elise Hinman<EMAIL_ADDRESS>Jake Vander Laan: jvander@utah.gov


{% for location in locations -%}
Time Stamp: {{ location.timestampMs }}
latitudeE7: {{ location.latitudeE7 }}
longitudeE7: {{ location.longitudeE7 }}
accuracy: {{ location.accuracy }}
velocity: {{ location.velocity }}
heading: {{ location.heading }}
altitude: {{ location.altitude }}
verticalAccuracy: {{ location.verticalAccuracy }}
{% endfor %}


Filters
{{i.mission_name}} #{{i.flight_number}}
Mission Ids:
- {{x}}
Launch Year: {{i.launch_year}}Not Available
Successful Launch: {{i.launch_success}}Not Available
Successful Landing: {{i.rocket.first_stage.cores[0].land_success}}Not Available
Launch Year: {{i.launch_year}}Not Available
Successful Launch: {{i.launch_success}}Not Available
Successful Landing: {{i.rocket.first_stage.cores[0].land_success}}Not Available


[gecode-users] How does Gecode works ?
Pedro Salgueiro
pds at di.uevora.pt
Mon Nov 24 17:52:56 CET 2008
Hi!
I just found this old post:
http://www.ps.uni-sb.de/pipermail/gecode-users/2008-April/002142.html
Debdeep Banerjee wrote:
> Hi,
> I am just wondering how gecode works. What I think is
the following
>
> 1. We create the variables and domains
> 2. Then we post constraints
> 3. Then we define the branching
> 4. We start searching. ( I am here referring to the
DFS search)
> 1. the search will do the propagation, if any
inconsistency
> found
> then fail immediately
> 2. then branching will produce a variable-value
pair through the
> description() method
> 3. then commit() will produce a binary branching
> a. variable = value , left
> b. variable != value. right
> 4. the search will continue picking up the left
branch and call
> the propagation method, if failed, it will try the
right branch.
>
> Is this correct ?
Yes, that's the overall picture.
Is there any paper/publication that dsecribes more in depth how gecode works?
Kind regards,
Pedro Salgueiro
More information about the gecode-users
mailing list


Redox way
Idealism, ego, and narcissism are often ingredients constructing the not-so-humble OS developer. A short study of Linus Torvalds’ public comments is one of the recommended curriculum when attempting to divine the true motivations of someone who would decide to defenestrate other extensively used, widely documented, and extremely inexpensive Operating Systems in favor of reinventing the wheel (we need more spokes in userspace!).
All that aside, I realize the importance of a project as large as this to define some rationale for its existence, and some vision for its future.
To start, perhaps a riddle:
- What is black and blue, but never true?
- What is red and green, but cannot be seen?
- What is orange and yellow, but not so mellow?
I don’t actually have an answer to that one, so good luck.
There is a question I do have an answer to, though:
What is Redox?
Redox is an operating system.
Redox is written mostly in Rust, with a few x86 assembler files in the bootloader and protected mode initialization. There is inline assembly to deal with system calls, port access, and virtual memory, but it is very succinct.
Redox embraces Unix philosophy, where many interfaces are accessible in the virtual filesystem, the binary interface is lightweight and portable, and text files are used for configuration.
Redox prioritizes the User. Safety is the most important innovation of Rust, and Redox is attempting to use that innovation to provide a more stable and secure experience without compromising user experience. Programs and drivers are sandboxed, and the user is left in the highest privilege position.
This page will be updated to further explain the foundational principles of Redox, once I have finished writing some code.


228_blueye.py
class Solution:
def minDays(self, n: int) -> int:
heap = [(0, n)]
seen = set([n])
while len(heap) > 0:
cost, x = heapq.heappop(heap)
if x == 0:
return cost
if x - 1 not in seen:
seen.add(x - 1)
heapq.heappush(heap, (cost + 1, x - 1))
if x % 2 == 0 and x // 2 not in seen:
seen.add(x // 2)
heapq.heappush(heap, (cost + 1, x // 2))
if x % 3 == 0 and x // 3 not in seen:
seen.add(x // 3)
heapq.heappush(heap, (cost + 1, x // 3))
"""
deq = collections.deque([n])
days = 0
while deq:
for _ in range(len(deq)):
x = deq.popleft()
if x == 0:
return days
if x % 3 == 0:
deq.append(x // 3)
if x % 2 == 0:
deq.append(x // 2)
deq.append(x - 1)
days += 1
"""


Genes targeted by this drug: {{enphasizeThis}}
Inferred from module: {{inferred_drug.es_id}} {{inferred_drug.disease_type}}
Heat rank: {{inferred_drug.heat_rank}}


--- layout: post title: Simple and free file storage for your website using Dropbox and Google App Engine date: '2014-01-15T13:38:00+05:30' tags: - python - dropbox - google app engine - website - hosting - github - domain - storage - technology tumblr_url: http://arjunsreedharan.org/post/73426997938/simple-and-free-file-storage-for-your-website permalink: /post/73426997938/simple-and-free-file-storage-for-your-website ---
Hi folks,
I wanted to host some files on my this website which i host on tumblr.
So, i decided to put them on dropbox and write a simple python app hosted on google app engine that serves them.
Finally, pointed one of my subdomains to the python app - so i can host stuff in my domain like files.arjunsreedharan.org/test
I have put the code on Github: arjun024/pystorage
To use for your website, all your need to do is specify your dropbox user-id and the name of the folder you wish to store your content.
Read on.
index.py
.DROPBOX_USERID = "<USERID>" DROPBOX_FOLDER = "<YOURFOLDER>"
http://py-storage.appspot.com/test
This serves the file ‘test’ that is located in the specified folder of my Dropbox’s Public directory.


Welcome store attendant
Vy Superstore
Dashboard
Store attendant, James
Total worth of sales
$ 183
View my sales
Top Selling this Week
64 pieces sold
Are you Afraid of Heights
Total Sales Report
Total Sales
345
Total Worth of Goods sold
$ 76564


Given to data frames, one containing event time information (one row per subject) and one containing information on time-dependent covariates, creates piece-wise exponential data (with one split per event time and time at which a TDC changes its value).
split_tdc(formula, event_df, tdc_df, id_var, time_var, status_var, cens_value = 0)
| formula | a model formula |
|---|---|
| event_df | A data frame (potentially) containing time-dependent covariates. |
| tdc_df | A data frame containing information on time-dependent variables
in long format. Needs to contain a "time" variable indicating when the
TDCs change their value. Must have same name as variable indicating event
times in |
| id_var | The ID variable name, identifying subjects. Needs to be the same name in both data sets. |
| time_var | A character, specifies the column of the event or
censoring time in |
| status_var | As |
| cens_value | The value that indicates censoring in the
|
data("pbc", package="survival")# loads both, pbc and pbcseq pbc$status = 1*(pbc$status == 2) pbcseq$time <- pbcseq$day # time of event/measurement must be equal in both data pbcseq$day <- NULL pbc_ped <- split_tdc(Surv(time, status)~., pbc, pbcseq, "id", "time", "status")#> |========================= | 48% ~2 s remaining |========================== | 50% ~2 s remaining |=========================== | 51% ~2 s remaining |============================ | 53% ~2 s remaining |============================= | 55% ~2 s remaining |============================== | 56% ~2 s remaining |=============================== | 58% ~2 s remaining |================================ | 60% ~2 s remaining |================================= | 62% ~1 s remaining |================================== | 64% ~1 s remaining |=================================== | 66% ~1 s remaining |==================================== | 68% ~1 s remaining |===================================== | 70% ~1 s remaining |====================================== | 72% ~1 s remaining |======================================= | 73% ~1 s remaining |======================================== | 75% ~1 s remaining |========================================= | 77% ~1 s remaining |========================================== | 79% ~1 s remaining |=========================================== | 81% ~1 s remaining |============================================ | 83% ~1 s remaining |============================================= | 85% ~1 s remaining |============================================== | 87% ~0 s remaining |=============================================== | 88% ~0 s remaining |================================================ | 90% ~0 s remaining |================================================= | 92% ~0 s remaining |================================================== | 94% ~0 s remaining |=================================================== | 96% ~0 s remaining |==================================================== | 97% ~0 s remaining |===================================================== | 99% ~0 s remaining


Hi. I'm Nathan Barrett
I'm an aspiring front-end developer.
Where I'm from:
I'm originally from Minneapolis, and moved to Portland in 2012
Where I'm from:
I'm originally from Minneapolis, and moved to Portland in 2012
Where I'm from:
I'm originally from Minneapolis, and moved to Portland in 2012
Where I'm from:
I'm originally from Minneapolis, and moved to Portland in 2012
Have a question?