Hi, I am Asrorbek Qalandarov.
Front end Developer.
- 👋 Hi, I’m Asrorbek Qalandarov.
- 🇺🇿 I study at Presidential school in Khiva.
- ™ Founder of Excilite team
- ™ Member of Young coders
Skills
- HTML
- CSS
- JavaScript
- UI/UX
- Go
- C++
- Python
- Adobe products
Projects
PS library
It's app for automation library of Presidential schools. This project won 3rd prize of Digital Generation Hackaton 2021. Created by Excilite™ 2021
- HTML
- CSS
- JavaScript


Jin-Woo’s smartphone began ringing off the hook as soon as he entered the reception range
‘From the Hunter’s Association?’.
His expression hardened when he confirmed who the caller was . Could something bad have happened while he was away for a bit?.
He quickly answered the call
– “H-Hunter-nim?!”.
“Yes, it’s me, Seong Jin-Woo . ”.
He sensed that something was definitely wrong after hearing the urgency in the Association employee’s voice . Feeling suspicious, he quickly asked
“What happened?”.
– “That, that, the thing is, no, hang on, the Association President will explain it to you . Let me patch you through to him right away . ”.
A problem serious enough to make the leader of the Association personally step up?.
Jin-Woo realised that the matter at hand couldn’t be a simple one and wordlessly waited for the reply . The distinct connecting signal tone soon ended, and as if he had been desperately waiting for the call, Woo Jin-Cheol hurriedly answered the phone, his anxious voice leaking out from the speaker
– “Seong Hunter-nim!! Why couldn’t we get a hold of you?”.
“I was outside the reception range until a moment ago . ”.
Perhaps because of being contaminated by the frequent dungeon breaks, it was almost impossible to contact outside when within that vast ocean of trees
However, he thought it was more than sufficient enough to leave behind his Shadow Soldiers with those whom he wanted to protect . That’s what he believed
‘Could the super-massive Gate have opened up while I was in the forest?’.
But, there should have been at least two more days left still?.
All manners of hypotheses bubbled up in Jin-Woo’s mind and just before he could urge Woo Jin-Cheol to spit out the truth, the latter told him the greatly simplified version of the current crisis
– “A monster has appeared in the middle of Seoul and is going on a rampage!”.
Tumble
Jin-Woo had been feeling energised after enjoying a rare break from the action . But now, he felt as if his heart had fallen to the pit of his stomach
“How big is the size of the monster horde??”.
– “No, there’s no horde . It’s just one creature . ”.
‘Just one?’.
Currently, all Korean Hunters had gathered in Seoul
They were summoned to the city in order to fight against the potential dungeon break from the super-massive Gate, so they should be on their toes, getting ready to move at a moment’s notice
On top of that, the Association was even supplying weapons to those Hunters lacking in proper equipment, too
‘But then, they are getting destroyed by a monster that suddenly appeared out of nowhere?’.
As Jin-Woo fell ever deeper into confusion, Woo Jin-Cheol hurriedly continued on with his explanation
– “A Guild that tried to fight the creature was annihilated in an instant . It looks like the monster is no ordinary creature at all . ”.
“What about its current location?”.
– “We believe it’s currently near Seoul Grand Hotel . ”.
Could this be chalked up to being mere coincidence?.
The moment Woo Jin-Cheol mentioned the name of the ultra-luxurious hotel where Thomas Andre was staying, Jin-Woo felt this sense of creeping unease tickle him in his throat
Sure enough…
The Association President’s voice speaking the American’s name was filled to the brim with anxiety
– “I received a call not too long ago that Thomas Andre Hunter-nim was getting ready to fight the monster . ”.
But, that couldn’t be
Just in case, Jin-Woo had left a Shadow Soldier behind with Thomas Andre . The order issued to the soldier was to ‘send a signal right away if something strange is sensed in the immediate vicinity’
But then, the target for protection started fighting alone against a monster capable of wiping out a Guild and yet, there was no signal?.
‘… . Hang on . ’.
Only now did Jin-Woo realise something was off
The signals coming from the Shadow Soldiers spread throughout Seoul were extremely weak . As if something was interfering with the transmission
‘What is going on?’.
An enemy possessing incredible power, a Special Authority-rank Hunter fighting it, and finally, signals being blocked off
Could it be?.
One distinct possibility popped up in Jin-Woo’s head . He asked in a hurry to confirm
“Association President! Did that monster possess a shadow?”.
– “Excuse me?”.
“Please, confirm if that monster has a shadow!”.
Woo Jin-Cheol’s voice seemingly got cut out for a moment, then – before continuing on with greater urgency
– “How can this be… . You’re right, Seong Hunter-nim! I just confirmed with the photos, and the monster does not have a shadow!”.
‘Oh, my god . ’.
Jin-Woo recalled that the Ice Elf attacking Goh Gun-Hui also didn’t possess a shadow and loudly cried out
“You must never let Thomas Andre fight that monster!”.
There was a good chance that the monster had been aiming for Thomas Andre all along
– “Excuse me? But, they have already… . ”.
Time was of the essence right now
Jin-Woo realised that he had no need to listen to any further explanation and tried to activate ‘Shadow Exchange’ with the Shadow Soldier attached to Thomas Andre
Tti-ring
Accompanied by a rather ominous-sounding alert noise, a clear holographic message suddenly popped up in his view
[The designated Shadow Soldier cannot be located . ].
Jin-Woo tried several times more, but it was the same story
Tti-ring, tti-ring…
[The designated Shadow Soldier cannot be located . ].
[The designated Shadow Soldier cannot be located . ].
‘How could this be!’.

The Shadow Soldier he needed to use as his coordinates for the skill ‘Shadow Exchange’ had disappeared without a trace, somehow
He couldn’t detect any trace of that particular solder at all
And he could now definitely sense that the connection he shared with the soldier attached to Thomas Andre had been severed, just like when he sent some of the soldiers back to the void
The cancellation of the Shadow Soldier independent of his will??.

***.
Lennart Niermann heard the weighty voice coming from behind him
“Get out of the way . ”.
The German had experienced a similar sort of situation before, but the emotion he felt right now was quite different compared to back then
“Thomas Andre!”.
 Lennart Niermann’s expression brightened the moment he discovered the American standing behind him
Thomas Andre wordlessly walked past Lennart and slowly went up ahead
Even those screaming people running away from the scene recognised the Special Authority-rank Hunter and his hulking physique, and their steps all gradually came to a stop
“He, he’s that American Hunter… ”.
“T-Thomas Andre??”.
“It’s the Goliath! THE Goliath!!”.
Even the first rate Hunter Lennart Niermann felt his heart pound excitedly when seeing Thomas Andre’s broad back as he walked forward . So, how would the regular people feel, when they were desperately fleeing in terror from the monster’s dense killing intent?.
“Ah, ah!”.
“Oh, dear lord! Thank you!”.
Some people even began plopping down on the ground from the sense of relief robbing their built-up tension, knowing that one of the world’s best Hunters had come to save them
Meanwhile, Thomas Andre angrily shouted at the other Hunters nearby who were all frozen stiff from the powerful pressure emitted by the unknown monster
“Stop standing around like idiots, and start evacuating these citizens, you b*stards!”.
The roar from the Special Authority-rank Hunter was more than enough to blow away the stifling pressure dulling the thought process of the other Hunters
They understood his intention through that thunderous roar and began grabbing those citizens that had fallen behind to drag them far away from Thomas Andre . Lennart Niermann also cooperated with the evacuation of the powerless citizens along with his Korean counterparts
The American stood tall in the middle of the street as if to protect them . And that ‘monster’ slowly made its way over in his direction
The Special Authority-rank Hunter took off his sunglasses, his eyes narrowing to a slit
“… . ”.
What he saw was a beast covered in blood . Although it vaguely looked like one, there was simply no way that thing was a human being
Veins bulged on Thomas Andre’s face as he spotted the bits and pieces of the victims strewn messily about behind this ‘beast’
“A stinking beast who doesn’t know its place has rampaged around for far too long . ”.
As if to mock Thomas Andre’s rage, the ‘beast’ bared its fangs covered in bits of flesh in a toothy grin
Putting down a crazed animal was a universal truth, no matter where one was from . Thomas Andre’s eyes became incomparably murderous right away
“Reinforcement . ”.
His muscles transformed like armour and his already-hulking physique grew larger and larger than before . As far as one’s physical size was concerned, he was a step larger than this monster
To find out the gap in the strength, Thomas Andre rushed towards his target
A tank!.
People watching and sensing the ground tremble every time he took a step forward instinctively pictured a powerful tank
The beast smacked its lips at the appearance of a new prey and made its move as well
Two giants closed their distance in an instant and stood before each other . At first, they exchanged glances studying their new opponent, and soon, they squeezed their muscles laden with massive magical energy while roaring out at the same time
Two monstrous beings and their fists powerful enough to crush concrete like tofu began exploding out like bullets towards one another
Boomboomboomboomboomboom!!.
This exchange of fists relied solely on brute force with no consideration towards any type of techniques . Hunters watching on were left absolutely awestruck by this spectacle
Just being kissed by one of those fists would result in instant death for these Hunters . But these two were trading such lethal blows without even taking a breather, without even bothering to block them, as if these punches were just light probing jabs
‘It’s working . ’.
Thomas Andre grew sure of it now
Pow!.
His punch caused the beast’s head to spin to the side . This heavy sensation of impact got transmitted to his left hand . This attack definitely worked
After losing to Jin-Woo, the Goliath felt his confidence had plummeted somewhat, but through this dogfight, he felt it growing back again
Boomboomboomboomboomboom!!.
The continuous stream of powerful punches pushed the beast gradually backwards . Grabbing hold of this opening, Thomas Andre’s fearsome full swing of his fist floored the b*stard right into the ground
Kwa-boooom!!.
Kwa-jeeeeeeeck!.
The beast was shoved away as the concrete below split apart from the sheer force . The creature smashed into the side of a building and demolished its wall; only then did it finally stop moving
Other Hunters watching on punched the air and celebrated, but the person responsible, Thomas Andre himself, didn’t display any hints of joy
‘No, that was wrong . It wasn’t… . as deep as I wanted . ’.
The thick dust cloud spread out, obscuring the vision . However, he could still sense the presence of the beast emitting the dense murderous intent from beyond the collapsed debris of the building
Swish-!.
Swiiish-!!.
Suddenly, heavy hunks of metal flew out from the dust and at Thomas Andre’s location . He smacked these flying cars away from him and quickly activated the skill, ‘Capture’, to yank the beast hidden from his sight closer to his position
Wuuwoong!.
The resisting beast was brought right up to the American’s nose; he immediately activated his strongest skill
“Demolition!!”.
Muscles on both of Thomas Andre’s arms ballooned up until they nearly popped . He slammed down on the ground with everything he had
KWA-BOOM!!.
The horrifying shockwave arising from the ground pummelled the beast
[Kuuwahhh!!].
The beast cried out in agony as it was flung into the air before it came crashing back down
Thomas Andre seized upon this chance and jumped on top of the monster, before proceeding to rain down his fists laden with an unbelievable amount of magic energy
Skill ‘Power Smash’!!.
Boomboomboomboomboomboom!!.
Waaaah!!.
The citizens watching the battle between the Goliath and the beast from afar with anxious minds all began raising excited cheers . Even the Hunters began breaking out in relieved smiles as well
No matter who saw it, this fight now had a clear victor . It was an overwhelming victory befitting the Special Authority-rank Hunter, often referred to as the world’s best
However…
Thicker and thicker drops of cold sweat began forming on Thomas Andre’s forehead even as he mercilessly pummelled the beast down below
‘What is this?’.
What was this anxiety, born from this sensation of a noose gradually tightening around his neck the closer he got to his victory?.
Each and every one of his attacks was landing splendidly, and the beast being floored down below wasn’t showing any signs of resistance
So, why… . ?.
‘Why do I feel this anxious, even though I’m clearly in an advantageous position?’.
Fairly quickly, though, Thomas Andre got to discover the source of his anxiety
It was the eyes
From the very beginning of the fight right up until now, the beast had been looking at him with the exact same apathetic eyes, even going so far to completely disregard the indiscriminate outpouring of his attacks
It was as if the thing was mocking him, telling him to try and give his best shot
Grit
The Goliath was thoroughly enraged and raised his interlocked fists up high
His shoulder muscles expanded in an instant, and thick veins bulged on his skin . Horrifying amounts of magic energy flowed into his shoulders, arms, wrists and fists, emitting a bone-chilling aura at the same time
With this, it’d be the end
Could this beast reopen those eyes again after being struck by ‘Demolition’ right in the epicentre of the skill?.
With everything he had, Thomas Andre slammed down both of his fists
“Demolition!!!!”.
It was then
He clearly saw it
He saw the beast close its eyes for the briefest of brief moments before opening them to reveal that those eyes, previously resembling that of a human’s, now fully resembling a wild predator’s
Grab
The beast leisurely raised one hand up to easily stop Thomas Andre’s two fists swung down with all his might
“… ??”.
The American looked at his hands, now held tight and couldn’t be pulled back at all, and felt a chill run down his back
[Even though you’re a mere puppet of a Fragment, you managed to drag out this much power . ].
The sounds similar to a predator growling caused Thomas Andre’s expression to crumble
“What was that?”.
Right at that moment
The black hair of the beast began to grow longer and longer as its colour changed to white
That wasn’t all; the nails resembling awls grew lengthier as well, while its fangs grew sharper, too . Soon, whitish fur covered its entire body
‘A Werewolf?!’.
Unfortunately, there never had been a single instance of a white Werewolf making its appearance in ten years of humans going on raids
“You… . Just what is your true identity?”.

“Wuuuuaaahk!!”.
< Chapter 214 > Fin


It's a plan of attack for accomplishing a project. The goal of a Tiny Open Jam is to make a sizeable amount of progress without feeling too overwhelmed to start it.
Think of the smallest amount of value you'd be satisfied adding to your project before proudly showing it off to someone.
Go from Complete to Complete -- don't leave your project in an unusable state or less "finished" than when you started!
Complete your work with the expectation that others will view it upon completion.
In the extreme, this could mean the work you do is open-source (e.g. code). In fact, this is encouraged.
The work can be completed in the uninterrupted period of time you set aside.
Other definitions: improvising in order to accomplish your work, can be completed with friends, can involve rocking out to music.
It's pretty simple. All you need is a goal and a deadline.
Make sure your goal is tiny. If it seems too daunting to accomplish, make it tinier. But also make it significant enough so that when you complete it, the first thing you want to do is tweet about it, insta-share it, and tell all your friends.
For your deadline, make sure it's soon enough that you can jam without being interrupted. You can always take breaks (and we encourage it), but during this time you should primarily be focused on getting your work done.
The rest of TinyOpenJam is just an attitude thing. Keep the three principles in mind while you work and you'll be good to go!
we recently created tinyopenvideos as a jumping-off point and open guide for those who don't know how to get started. each video can be considered its own jam and should be tiny enough to complete.


Sprint 3 Cultural Blog
Emotional Intelligence
How To Master Your Emotions
Our emotions are superpowers. They can give us useful insight into a particular situation, guide us towards right action. They are the thing that gives life it’s aliveness.
Emotional intelligence, often called EQ or The Emotional Quotient, is the ability to understand, regulate, investigate and manage our emotions. This differs from IQ, which is a score derived from a series of tests that are designed to test cognitive intelligence.
It is important to develop mastery over our emotions. The reason goes beyond what many people may assume which is that mastery over your emotions will make you feel better. Of course it will make you feel better, but the purpose of developing your EQ is not to feel better, but to get better at feeling. As we develop our ability to feel, we become more aware of how emotions trigger reactions in us that in turn guide us towards wrong action.
Becoming aware of these triggering events is the first step in being able to respond instead of react.


About Us
Mission
Vission
We are an enerprise focused on helping you out!
Our goals are the same a yours! Let us know!
Making your goals become true!


c4stl is a C++ library of performance-minded contiguous containers, strings and streams. Here you can browse the results of the library benchmarks.


DefaultLogFormatter
The DefaultLogFormatter
is a basic implementation of the LogFormatter
protocol.
This implementation is used by default if no other log formatters are specified.
-
Default initializer.
Declaration
Swift
public init() {}
-
Returns a formatted representation of the given
LogEntry
.Declaration
Swift
public func formatLogEntry(entry: LogEntry) -> String?
Parameters
entry
The
LogEntry
being formatted.Return Value
The formatted representation of
entry
. This particular implementation will never returnnil
. -
Returns the formatted log message given the string representation of the severity, caller and message associated with a given
LogEntry
.This implementation is used by the
DefaultLogFormatter
for creating the log messages that will be recorded.Declaration
Swift
public static func formatLogMessageWithSeverity(severity: String, caller: String, message: String) -> String
Parameters
severity
The string representation of the log entry’s severity.
caller
The string representation of the caller’s source file and line.
message
The log message.
Return Value
The formatted log message.
-
Returns a string representation of a given
LogSeverity
value.This implementation is used by the
DefaultLogFormatter
for creating string representations for representing theseverity
value ofLogEntry
instances.Declaration
Swift
public static func stringRepresentationOfSeverity(severity: LogSeverity) -> String
Parameters
severity
The
LogSeverity
for which a string representation is desired.Return Value
A string representation of the
severity
value. -
Returns a string representation for a calling file and line.
This implementation is used by the
DefaultLogFormatter
for creating string representations of aLogEntry
’scallingFilePath
andcallingFileLine
properties.Declaration
Swift
public static func stringRepresentationForCallingFile(filePath: String, line: Int) -> String
Parameters
filePath
The full file path of the calling file.
line
The line number within the calling file.
Return Value
The string representation of
filePath
andline
. -
Returns a string representation of an arbitrary optional value.
This implementation is used by the
DefaultLogFormatter
for creating string representations ofLogEntry
payloads.Declaration
Swift
public static func stringRepresentationForPayload(entry: LogEntry) -> String
Parameters
entry
The
LogEntry
whose payload is desired in string form.Return Value
The string representation of
entry
’s payload. -
Returns a string representation of an arbitrary optional value.
This implementation is used by the
DefaultLogFormatter
for creating string representations ofLogEntry
instances containing.Value
payloads.Declaration
Swift
public static func stringRepresentationForValue(value: Any?) -> String
Parameters
value
The value for which a string representation is desired.
Return Value
If value is
nil
, the string
is returned; otherwise, the return value of(nil)
stringRepresentationForValue(Any)
is returned. -
Returns a string representation of an arbitrary value.
This implementation is used by the
DefaultLogFormatter
for creating string representations ofLogEntry
instances containing.Value
payloads.Declaration
Swift
public static func stringRepresentationForValue(value: Any) -> String
Parameters
value
The value for which a string representation is desired.
Return Value
A string representation of
value
.


Dear All,
A new BreatheMapper iOS Alpha build version: %{version} is available to download from the Hockey App.
Please find attached reports:
- iOS10 Test Execution Report named as iOS10-TestExecutionReport.html
- iOS11 Test Execution Report named as iOS11-TestExecutionReport.html
- Release Notes named as "Changelog.html"
Kind Regards,
Team Stack.
This is autogenerated mail from Jenkins CI/CD Server. 🤖
In case of any assistance, please contact Manish. 👨💻
________________________________
The information contained in this message may be confidential and legally protected under applicable law. The message is intended solely for the addressee(s). If you are not the intended recipient, you are hereby notified that any use, forwarding, dissemination, or reproduction of this message is strictly prohibited and may be unlawful. If you are not the intended recipient, please contact the sender by return e-mail and destroy all copies of the original message.


Before printing, you should have already:
.x3g
fileNavigating the Menu:
Use the direction pad to navigate the menu.
Press the left arrow to go to the previous screen.
Menu Sequence: Down → Preheat →
Press
Printer will begin to heat extruder head to 230°C
(default setting).
Press the left arrow to exit to the main screen.
Menu Sequence: Utilities → Filament Loading
Select Load and press
When the extruder head is hot enough, you will hear a tone. Filament will begin to flow out of the extruder head.
Once the flow is constant, press (not the left arrow!) to stop the loading procedure.


------
Population Criteria 1
------
-
Initial Patient Population 1 =
- AND:
- OR:
- AND: "Patient Characteristic Birthdate: birth date" >= 18 year(s) starts before start of "Occurrence A of Encounter, Performed:
Encounter Inpatient"
- AND: "Occurrence A of Encounter, Performed: Encounter Inpatient (discharge datetime)" ends during "Measurement Period"
- AND: "Occurrence A of Encounter, Performed: Encounter Inpatient (length of stay < 120 day(s))"
- AND:
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Pneumonia (ordinality: 'Principal')"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Respiratory failure acute or chronic (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Septicemia (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- starts during "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Patient Characteristic Birthdate: birth date" >= 18 year(s) starts before start of "Occurrence B of Encounter, Performed:
Encounter Inpatient"
- AND: "Occurrence B of Encounter, Performed: Encounter Inpatient (discharge datetime)" ends during "Measurement Period"
- AND: "Occurrence B of Encounter, Performed: Encounter Inpatient (length of stay <= 120 day(s))"
- AND:
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Pneumonia (ordinality: 'Principal')"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Respiratory failure acute or chronic (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Septicemia (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- starts during "Occurrence B of Encounter, Performed: Encounter Inpatient"
-
Denominator 1 =
- AND: "Initial Patient Population 1"
- AND:
- OR:
- AND: "Diagnosis, Active: Reason For Admission to ICU due to Pneumonia" starts before or during "Occurrence A of Encounter,
Performed: Encounter Inpatient"
- AND NOT: "Diagnosis, Active: Reason For Admission to ICU due to Pneumonia" ends before start of "Occurrence A of Encounter,
Performed: Encounter Inpatient"
- AND NOT: "Occurrence A of Encounter, Performed: Emergency Department Visit" <= 1 hour(s) ends before start of "Occurrence
A of Encounter, Performed: Encounter Inpatient"
- AND:
- AND:
- OR: "Diagnosis, Active: Hospital Measures-Pneumonia"
- OR: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')"
- <= 24 hour(s) starts after start of "Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND:
- OR: "Occurrence A of Encounter, Performed: ICU Admission or Transfer" <= 24 hour(s) starts after start of "Occurrence A of
Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence A of Encounter, Performed: ICU Admission or Transfer" starts concurrent with "Occurrence A of Encounter, Performed:
Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Reason For Admission to ICU due to Pneumonia" starts during "Occurrence A of Encounter, Performed:
Emergency Department Visit"
- AND:
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- AND: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')"
- AND:
- AND: "Occurrence A of Encounter, Performed: ICU Admission or Transfer"
- AND:
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient" <= 24 hour(s) starts before start of "Occurrence A of Encounter,
Performed: ICU Admission or Transfer"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient" starts concurrent with "Occurrence A of Encounter, Performed:
ICU Admission or Transfer"
- <= 24 hour(s) starts after start of "Occurrence A of Encounter, Performed: Emergency Department Visit"
-
Denominator Exclusions 1 =
- AND:
- OR:
- OR: "Diagnostic Study, Result: Hospital Measures-Chest xray SM-CT (result: 'Hospital Measures-Radiologic Finding-Normal SM-CT')"
- OR: "Diagnostic Study, Result: Hospital Measures-CT scan including chest (result: 'Hospital Measures-Radiologic Finding-Normal
SM-CT')"
- starts during
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR: "Intervention, Performed: Comfort Measures" <= 1 day(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR:
- OR:
- AND: "Patient Characteristic: Clinical Trial Participant" starts before or during "Occurrence A of Encounter, Performed: Encounter
Inpatient"
- AND NOT: "Patient Characteristic: Clinical Trial Participant" ends before start of "Occurrence A of Encounter, Performed:
Encounter Inpatient"
- OR:
- AND: "Patient Characteristic: Clinical Trial Participant" starts before or during "Occurrence B of Encounter, Performed: Encounter
Inpatient"
- AND NOT: "Patient Characteristic: Clinical Trial Participant" ends before start of "Occurrence B of Encounter, Performed:
Encounter Inpatient"
- OR:
- OR: "Transfer From: Hospital Measures-Acute care hospital"
- OR: "Transfer From: Hospital Measures-Ambulatory surgical center"
- OR: "Transfer From: Hospital Measures-Nursing Home or Ext Fac Transfer"
- < 24 hour(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Diagnosis, Active: Hospital Measures-Prolonged QT Interval" <= 24 hour(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR:
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" <= 90 day(s) starts before or during "Occurrence
A of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" ends before start of "Occurrence A of Encounter,
Performed: Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" <= 90 day(s) starts before or during "Occurrence
B of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" ends before start of "Occurrence B of Encounter,
Performed: Encounter Inpatient"
- OR:
- OR:
- AND: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" <= 90 day(s) starts before or during
"Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" ends before start of "Occurrence
A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" <= 90 day(s) starts before or during
"Occurrence B of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" ends before start of "Occurrence
B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Procedure, Performed: Hospital measures-Hemodialysis or peritoneal dialysis"
- OR: "Intervention, Performed: Hospital Measures-Wound Care"
- OR: "Intervention, Performed: Tracheostomy care"
- OR: "Intervention, Performed: Hospital Measures-Ventilator care"
- OR: "Diagnosis, Active: Hospital Measures-Healthcare associated pneumonia"
- <= 30 day(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Immunodeficient Conditions"
- OR: "Diagnosis, Active: Cystic Fibrosis"
- OR: "Diagnosis, Inactive: Cystic Fibrosis"
- OR: "Medication, Allergy: Hospital Measures-Beta lactams for allergy determination"
- OR: "Procedure, Performed: Hospital Measures-Organ transplant"
- starts before or during
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Procedure, Performed: Hospital Measures-Immunocompromised Therapies"
- OR: "Medication, Active: Hospital Measures-Systemic immunosuppressive therapy"
- OR: "Medication, Active: Hospital Measures-Systemic corticosteroid/prednisone therapy"
- <= 90 day(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Hospital Measures - Any infection"
- AND NOT: "Diagnosis, Active: Hospital Measures-Respiratory infection"
- <= 24 hour(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient (length of stay <= 24 hour(s))"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient (length of stay <= 24 hour(s))"
-
Numerator 1 =
- AND:
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Macrolides ICU (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Beta lactams (route: 'Hospital measures-Route IV')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Antipseudomonal quinolones (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Beta lactams (route: 'Hospital measures-Route IV')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Quinolones Antipneumococcal (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Beta lactams (route: 'Hospital measures-Route IV')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Aminoglycosides (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Quinolones Antipneumococcal (route: 'Hospital measures-Route IV')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Macrolides ICU (route: 'Hospital measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Francisella Tularensis or Yersinia pestis"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Tetracycline (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Beta lactams (route: 'Hospital measures-Route IV')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
-
Denominator Exceptions 1=
------
Population Criteria 2
------
-
Initial Patient Population 2 =
- AND:
- OR:
- AND: "Patient Characteristic Birthdate: birth date" >= 18 year(s) starts before start of "Occurrence A of Encounter, Performed:
Encounter Inpatient"
- AND: "Occurrence A of Encounter, Performed: Encounter Inpatient (discharge datetime)" ends during "Measurement Period"
- AND: "Occurrence A of Encounter, Performed: Encounter Inpatient (length of stay < 120 day(s))"
- AND:
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Pneumonia (ordinality: 'Principal')"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Respiratory failure acute or chronic (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Septicemia (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- starts during "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Patient Characteristic Birthdate: birth date" >= 18 year(s) starts before start of "Occurrence B of Encounter, Performed:
Encounter Inpatient"
- AND: "Occurrence B of Encounter, Performed: Encounter Inpatient (discharge datetime)" ends during "Measurement Period"
- AND: "Occurrence B of Encounter, Performed: Encounter Inpatient (length of stay <= 120 day(s))"
- AND:
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Pneumonia (ordinality: 'Principal')"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Respiratory failure acute or chronic (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Septicemia (ordinality: 'Principal')"
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- starts during "Occurrence B of Encounter, Performed: Encounter Inpatient"
-
Denominator 2 =
- AND: "Initial Patient Population 2"
- AND:
- AND:
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- AND: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')"
- <= 24 hour(s) starts after start of "Encounter, Performed: Encounter Inpatient"
- AND NOT: "Encounter, Performed: Emergency Department Visit" <= 1 hour(s) ends before start of "Encounter, Performed: Encounter
Inpatient"
- AND NOT: "Encounter, Performed: ICU Admission or Transfer" <= 24 hour(s) starts after start of "Encounter, Performed: Encounter
Inpatient"
- AND:
- AND NOT: "Encounter, Performed: ICU Admission or Transfer" <= 24 hour(s) starts after start of "Occurrence B of Encounter,
Performed: Encounter Inpatient"
- AND NOT: "Encounter, Performed: ICU Admission or Transfer" <= 24 hour(s) starts after start of "Occurrence A of Encounter,
Performed: Emergency Department Visit"
- AND:
- AND: "Diagnosis, Active: Hospital Measures-Pneumonia"
- AND: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')"
- AND: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- <= 24 hour(s) starts after start of "Occurrence A of Encounter, Performed: Emergency Department Visit"
-
Denominator Exclusions 2 =
- AND:
- OR:
- OR: "Diagnostic Study, Result: Hospital Measures-Chest xray SM-CT (result: 'Hospital Measures-Radiologic Finding-Normal SM-CT')"
- OR: "Diagnostic Study, Result: Hospital Measures-CT scan including chest (result: 'Hospital Measures-Radiologic Finding-Normal
SM-CT')"
- starts during
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR: "Intervention, Performed: Comfort Measures" <= 1 day(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR:
- OR:
- AND: "Patient Characteristic: Clinical Trial Participant" starts before or during "Occurrence A of Encounter, Performed: Encounter
Inpatient"
- AND NOT: "Patient Characteristic: Clinical Trial Participant" ends before start of "Occurrence A of Encounter, Performed:
Encounter Inpatient"
- OR:
- AND: "Patient Characteristic: Clinical Trial Participant" starts before or during "Occurrence B of Encounter, Performed: Encounter
Inpatient"
- AND NOT: "Patient Characteristic: Clinical Trial Participant" ends before start of "Occurrence B of Encounter, Performed:
Encounter Inpatient"
- OR:
- OR: "Transfer From: Hospital Measures-Acute care hospital"
- OR: "Transfer From: Hospital Measures-Ambulatory surgical center"
- OR: "Transfer From: Hospital Measures-Nursing Home or Ext Fac Transfer"
- < 24 hour(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Diagnosis, Active: Hospital Measures-Prolonged QT Interval" <= 24 hour(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR:
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" <= 90 day(s) starts before or during "Occurrence
A of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" ends before start of "Occurrence A of Encounter,
Performed: Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" <= 90 day(s) starts before or during "Occurrence
B of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Diagnosis, Active: Hospital Measures-Immunocompromised Conditions" ends before start of "Occurrence B of Encounter,
Performed: Encounter Inpatient"
- OR:
- OR:
- AND: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" <= 90 day(s) starts before or during
"Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" ends before start of "Occurrence
A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" <= 90 day(s) starts before or during
"Occurrence B of Encounter, Performed: Encounter Inpatient"
- AND NOT: "Laboratory Test, Result: Hospital Measures-Neutrophil count (result < 500 per mm3)" ends before start of "Occurrence
B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Procedure, Performed: Hospital measures-Hemodialysis or peritoneal dialysis"
- OR: "Intervention, Performed: Hospital Measures-Wound Care"
- OR: "Intervention, Performed: Tracheostomy care"
- OR: "Intervention, Performed: Hospital Measures-Ventilator care"
- OR: "Diagnosis, Active: Hospital Measures-Healthcare associated pneumonia"
- <= 30 day(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Immunodeficient Conditions"
- OR: "Diagnosis, Active: Cystic Fibrosis"
- OR: "Diagnosis, Inactive: Cystic Fibrosis"
- OR: "Procedure, Performed: Hospital Measures-Organ transplant"
- starts before or during
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Procedure, Performed: Hospital Measures-Immunocompromised Therapies"
- OR: "Medication, Active: Hospital Measures-Systemic immunosuppressive therapy"
- OR: "Medication, Active: Hospital Measures-Systemic corticosteroid/prednisone therapy"
- <= 90 day(s) starts before start of
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Diagnosis, Active: Hospital Measures - Any infection"
- AND NOT: "Diagnosis, Active: Hospital Measures-Respiratory infection"
- <= 24 hour(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient (length of stay <= 24 hour(s))"
- OR: "Occurrence B of Encounter, Performed: Encounter Inpatient (length of stay <= 24 hour(s))"
-
Numerator 2 =
- AND:
- OR:
- AND:
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Bronchiectasis" starts before start of "Occurrence A of Encounter, Performed: Encounter
Inpatient"
- OR:
- AND:
- OR: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')" <= 90 day(s)
starts before start of "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR: "Medication, Active: Hospital Measures-Systemic corticosteroid/prednisone therapy" <= 90 day(s) starts before start of
"Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND:
- OR: "Diagnosis, Active: Hospital Measures-COPD"
- OR: "Diagnosis, Active: Hospital Measures-Chronic bronchitis"
- OR: "Diagnosis, Active: Hospital Measures-Emphysema"
- OR: "Diagnosis, Active: Hospital Measures-Interstital lung disease"
- OR: "Diagnosis, Active: Hospital Measures-Restrictive lung disease"
- OR: "Diagnosis, Active: Hospital Measures-Structural lung disease"
- starts before or during "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- OR: "Diagnosis, Active: Hospital Measures-Bronchiectasis" starts before start of "Occurrence B of Encounter, Performed: Encounter
Inpatient"
- OR:
- AND:
- OR: "Medication, Active: IV, IM, PO Antimicrobial Medications (route: 'Hospital measures-Route IV, oral or IM')" <= 90 day(s)
starts before start of "Occurrence B of Encounter, Performed: Encounter Inpatient"
- OR: "Medication, Active: Hospital Measures-Systemic corticosteroid/prednisone therapy" <= 90 day(s) starts before start of
"Occurrence B of Encounter, Performed: Encounter Inpatient"
- AND:
- OR: "Diagnosis, Active: Hospital Measures-COPD"
- OR: "Diagnosis, Active: Hospital Measures-Chronic bronchitis"
- OR: "Diagnosis, Active: Hospital Measures-Emphysema"
- OR: "Diagnosis, Active: Hospital Measures-Interstital lung disease"
- OR: "Diagnosis, Active: Hospital Measures-Restrictive lung disease"
- OR: "Diagnosis, Active: Hospital Measures-Structural lung disease"
- starts before or during "Occurrence B of Encounter, Performed: Encounter Inpatient"
- AND:
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Antipseudomonal quinolones (route: 'Hospital Measures-Route IV
or PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Antipneumococcal/antipseudomonal beta lactams (route: 'Hospital
measures-Route IV')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Aminoglycosides (route: 'Hospital measures-Route IV')"
- AND:
- OR: FIRST:"Medication, Administered: Hospital Measures-IV PO Quinolone Antipneumococcal (route: 'Hospital Measures-Route IV
or PO')"
- OR: FIRST:"Medication, Administered: Hospital Measures-IV or PO Macrolides Non-ICU (route: 'Hospital Measures-Route IV or
PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Medication, Allergy: Hospital Measures-Beta lactams for allergy determination" starts before or during
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or IM Aztreonam (route: 'Hospital Measures-Route IV/IM')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV PO Quinolone Antipneumococcal (route: 'Hospital Measures-Route
IV or PO')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Aminoglycosides (route: 'Hospital measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: "Medication, Allergy: Hospital Measures-Beta lactams for allergy determination" starts before or during
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or IM Aztreonam (route: 'Hospital Measures-Route IV/IM')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or PO Levofloxacin (route: 'Hospital Measures-Route IV or PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV PO Quinolone Antipneumococcal (route: 'Hospital Measures-Route
IV or PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV Tigecycline (route: 'Hospital measures-Route IV')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or IM Beta lactams (route: 'Hospital Measures-Route IV/IM')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or PO Macrolides Non-ICU (route: 'Hospital Measures-Route IV or
PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
- OR:
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or IM Beta lactams (route: 'Hospital Measures-Route IV/IM')"
- AND: FIRST:"Medication, Administered: Hospital Measures-IV or PO Tetracyclines (route: 'Hospital Measures-Route IV or PO')"
- <= 1440 minute(s) starts after start of
- OR: "Occurrence A of Encounter, Performed: Emergency Department Visit"
- OR: "Occurrence A of Encounter, Performed: Encounter Inpatient"
-
Denominator Exceptions 2=


Perrie Edwards squashes Little Mix feud rumours
Little Mix star Perrie Edwards has shut down talk of rifts between her and bandmates Jade Thirlwall, Leigh-Anne Pinnock and Jesy Nelson.
Rumours of tension have plagued the British group for years but Perrie has shut them down once and for all.
Speaking to The Mirror at Radio 1 Teen Awards in London today, Perrie said: ‘We’ve always had rumours [of arguments] the last few years.
‘But that comes with being in a girl band. People assume girls don’t get along with girls.’
Little Mix won the best group prize at the awards.
Jade, who joined Perrie at the event, chimed in: ‘We literally never fight. We’re really boring.’
Speaking about Little Mix’s sixth LP, Jade added: ‘We go back into the studio next week to start writing our next album so we can’t wait to do that.’
Advertisement Advertisement
The girls’ last effort, LM5, reached number three in the UK album charts last year.
Perrie also chatted about the girls’ upcoming music talent search show Little Mix: The Search, which will air on BBC1 in the coveted Saturday night slot at some point next year.
She said: ‘Auditions are happening now. There have been thousands of people auditioning. It’s insane.’
According to the BBC, the winning group ‘could be all-female, all-male or mixed [and] get a career launch-pad like no other – supporting Little Mix on their UK Summer Tour 2020’.
The group will certainly have great mentors in the form of Little Mix, who famously got together on the 2011 series of X Factor.
Their number one singles are Black Magic, Wings, Shout Out to My Ex and their debut single Cannonball.
We can’t wait for 2020, and a new decade of Little Mix.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Welcome! This is the documentation for PyAMF 0.5, last updated Sep 07, 2009.
What's new in PyAMF 0.5? changes since previous major release
Global Module Index quick access to all modules
Search page search this documentation
Complete Table of Contents lists all sections and subsections
More information:
Reporting bugs
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License of PyAMF
Copyright
Download these documents
Enter search terms or a module, class or function name.


Credential Exchange in Progress
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{% comment %} Connection formed {% endcomment %}
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Connection Formed
You now have a connection with ConfBook.
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Sending Proof Request
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{% comment %} Proof request sent {% endcomment %}
{% comment %} Presentation verified {% endcomment %}
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Presentation Received and Verified
We have received your verified email proof. You have verified ownership of the email address .
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Package containing everything related to Audio Players or the loading of audio.
class AudioLoadHandler : AudioLoadResultHandler
Class which loads sources based on provided identifiers asynchronously. |
|
class BasaltPlayer : AudioEventAdapter
A player class associated with a SocketContext and a Guild ID, with a "lifecycle" determined by incoming requests. |
|
class LoadResult
A result class which represents a singular, successful load result. |
|
enum class ResultStatus
Enum which corresponds to how a source loaded. |
|
class SocketContext
Context class which stores a reference to a BasaltServer, a WebSocketChannel and the User ID associated with that channel, as well as a PlayerMap that indexes BasaltPlayers by Guild ID. |
typealias PlayerMap = Object2ObjectOpenHashMap<String, BasaltPlayer>
Type alias equivalent to an |


[§356D-156] Rules. The authority may adopt under chapter 91 all rules necessary to carry out the purpose of this part, including rules relating to determining preference among applicants for state rent supplements. [L 2006, c 180, pt of §2]


Contemporary Politics and Modern Leftist Thought
Created Saturday 10 July 2021
- The End of Democracy- Yvonne Hofstetter
- Naomi Klein- The Shock Doctrine
- The New Confessions of an Economic Hit Man- John Perkins
- A Brief History of Neoliberalism- David Harvey
- Seventeen Contradictions and the End of Capitalism- David Harvey
- Caliban and the Witch- Silvia Federici
- Can We Avoid Another Financial Crisis- Steve Keen
- Globalization and its Discontents Revisited- Joseph E Stiglitz
- The Endless Crisis- John Bellamy Foster and Robert W McChesney
- Capitalism: Competition, Conflict, Crises- Anwar Shaikh
- The Great Transformation- The Political and Economic
- Origins of Our Time- Karl Polanyi
- The Birth of Biopolitics- Michael Focault
- The Wretched of the Earth- Frantz Fanon
- Red Skin, White Masks: Rejecting the Colonial Politics of Recognition- Glen Coulthard
- Enterprising Nature: Economics, Markets, and Finance in Global Biodiversity Politics- Jessica Dempsey
- The Will to Improve- Tania Li
- Daniel Drezner – The Ideas Industry
- Mark Bray – Antifa: The Antifascist Manifesto
- Jane McAlevey – No Shortcuts
- Ruy Teixeira – The Optimistic Leftist
- Inside Organized Racism: Women in the Hate Movement. Kathleen Blee. University of California Press. 2003.
- The Extreme Right in Western Europe: Success or Failure? Elisabeth Carter. Manchester University Press. 2005.
- Mobilizing on the Extreme Right: Germany, Italy and the United States. Manuela Caiani, Donatella della Porta and Claudius Wagemann. Oxford University Press, 2012.
- Bring the War Home: The White Power Movement and Paramilitary America. Kathleen Belew. Harvard University Press, 2018.
- The People. Margaret Canovan. Polity. 2005.
- Illiberal Politics in Neoliberal Times: Culture, Security and Populism in the New Europe. Mabel Berezin. Cambridge University Press. 2009.
- Democracy Disfigured: Opinion, Truth and the People. Nadia Urbinati. Harvard University Press. 2014.
- For a Left Populism. Chantal Mouffe. Verso. 2018.
- Socialism for a Skeptical Age, Ralp h Milib and
- The Future of Democratic Equality, Joseph M. Schwartz
- Envisioning Real Utopias, Erik Olin W right
- Nickel and Dimed: On (Not) Getting By in America, Barbara Ehrenreich
- Rethinking the New Left, Van Gosse
- Black Reconstruction, W.E.B. DuBois
Backlinks: Recommended Reading, Watching


{% extends 'layout.html' %} {% block content %}
Every team has equal access and will be booked for a 17min. set on Thursday Night Throwdowns on a first come first serve basis. Winning TNT teams will be booked for Friday Night Fights.
{{ message }}


Beg Detail
Beg's Information
Owner's Email
Owner's Phone
Owner's Location
Beg's Title
Beg's Notes
The Owner did't leave notes.
{$beg.beg_notes}
Pets' Information
{$pet.pet_name}
Breed:
{$pet.breed_id}
BirthDay:
{$pet.pet_birth}
{$pet.pet_name} would like:
Exercise
Company
Pet's About
{$pet.pet_about}
Pet's Feed
{$pet.pet_feed}
Pet's Notes
{$pet.pet_notes}
{$pet.pet_name} gets on well with:
Garden
Children
Other Pets
{$pet.pet_name} want a helper at:
Day
Evening
Weekend
Holiday


BOHB - Bayesian Optimization and Hyperband¶
-
class
hpbandster.optimizers.bohb.
BOHB
(configspace=None, eta=3, min_budget=0.01, max_budget=1, min_points_in_model=None, top_n_percent=15, num_samples=64, random_fraction=0.3333333333333333, bandwidth_factor=3, min_bandwidth=0.001, **kwargs)[source]¶ BOHB performs robust and efficient hyperparameter optimization at scale by combining the speed of Hyperband searches with the guidance and guarantees of convergence of Bayesian Optimization. Instead of sampling new configurations at random, BOHB uses kernel density estimators to select promising candidates.
For reference:
@InProceedings{falkner-icml-18, title = {{BOHB}: Robust and Efficient Hyperparameter Optimization at Scale}, author = {Falkner, Stefan and Klein, Aaron and Hutter, Frank}, booktitle = {Proceedings of the 35th International Conference on Machine Learning}, pages = {1436--1445}, year = {2018}, }
Parameters: - configspace (ConfigSpace object) – valid representation of the search space
- eta (float) – In each iteration, a complete run of sequential halving is executed. In it, after evaluating each configuration on the same subset size, only a fraction of 1/eta of them ‘advances’ to the next round. Must be greater or equal to 2.
- min_budget (float) – The smallest budget to consider. Needs to be positive!
- max_budget (float) – The largest budget to consider. Needs to be larger than min_budget! The budgets will be geometrically distributed \(a^2 + b^2 = c^2 \sim \eta^k\) for \(k\in [0, 1, ... , num\_subsets - 1]\).
- min_points_in_model (int) – number of observations to start building a KDE. Default ‘None’ means dim+1, the bare minimum.
- top_n_percent (int) – percentage ( between 1 and 99, default 15) of the observations that are considered good.
- num_samples (int) – number of samples to optimize EI (default 64)
- random_fraction (float) – fraction of purely random configurations that are sampled from the prior without the model.
- bandwidth_factor (float) – to encourage diversity, the points proposed to optimize EI, are sampled from a ‘widened’ KDE where the bandwidth is multiplied by this factor (default: 3)
- min_bandwidth (float) – to keep diversity, even when all (good) samples have the same value for one of the parameters, a minimum bandwidth (Default: 1e-3) is used instead of zero.
- iteration_kwargs (dict) – kwargs to be added to the instantiation of each iteration
-
get_next_iteration
(iteration, iteration_kwargs={})[source]¶ BO-HB uses (just like Hyperband) SuccessiveHalving for each iteration. See Li et al. (2016) for reference.
Parameters: iteration (int) – the index of the iteration to be instantiated Returns: SuccessiveHalving – corresponding number of configurations Return type: the SuccessiveHalving iteration with the


| View as of: | ||
| Earliest | Today | Latest |
The application landscape above is auto-generated from a JSON file containing information about applications and the context in which they are used. Landscape maps with merged and split cells convey a great deal of information in a compact form. For more information see the Archimate architecture viewpoints documentation.
In this example, we are fixing the y-axis with a pre-defined order of capabilities and determining the optimal sequence of the x-axis. The process from raw data to the table above is as follows:
These operations are performed in seperate calls to the library, therefore if you want a preset x and y axis, you can skip the first two steps alltogether, or substitute your own methods.
The layout engine is writtin in TypeScript and transpiled into JavaScript ES3; it should therefore work in
any
browser. The json data in this example is loaded with window.fetch
therefore a polyfil is
required
for older browsers.
Google Chrome, Mozilla Firefox and Opera all render well. Apple Safari and Microsoft Edge and IE all have rowspan table rendering issues where there are complex split cell scenarios.
Split cells with multiple application horizontally in addition to vertically if preferable.
Smarter ordering of split cells to expliot affinity with neighbouring cells.
Style of date slider in IE.
Base the date slider max and min values based on the underlying data.


Retrieves a list of activities for a specific customer and application.
list(customerId, applicationId, caller=None, startTime=None, actorIpAddress=None, eventName=None, actorApplicationId=None, continuationToken=None, maxResults=None, parameters=None, actorEmail=None, endTime=None)
Retrieves a list of activities for a specific customer and application. Args: customerId: string, Represents the customer who is the owner of target object on which action was performed. (required) applicationId: string, Application ID of the application on which the event was performed. (required) caller: string, Type of the caller. Allowed values application_owner - Caller is an application owner. customer - Caller is a customer. startTime: string, Return events which occured at or after this time. actorIpAddress: string, IP Address of host where the event was performed. Supports both IPv4 and IPv6 addresses. eventName: string, Name of the event being queried. actorApplicationId: string, Application ID of the application which interacted on behalf of the user while performing the event. continuationToken: string, Next page URL. maxResults: integer, Number of activity records to be shown in each page. parameters: string, Event parameters in the form [parameter1 name]:[parameter1 value],[parameter2 name]:[parameter2 value],... actorEmail: string, Email address of the user who performed the action. endTime: string, Return events which occured at or before this time. Returns: An object of the form: { "items": [ # Each record in read response. { "kind": "audit#activity", # Kind of resource this is. "ownerDomain": "A String", # Domain of source customer. "actor": { # User doing the action. "applicationId": "A String", # ID of application which interacted on behalf of the user. "email": "A String", # Email address of the user. "key": "A String", # For OAuth 2LO API requests, consumer_key of the requestor. "callerType": "A String", # User or OAuth 2LO request. }, "id": { # Unique identifier for each activity record. "uniqQualifier": "A String", # Unique qualifier if multiple events have the same time. "applicationId": "A String", # Application ID of the source application. "customerId": "A String", # Obfuscated customer ID of the source customer. "time": "A String", # Time of occurrence of the activity. }, "ipAddress": "A String", # IP Address of the user doing the action. "events": [ # Activity events. { "eventType": "A String", # Type of event. "name": "A String", # Name of event. "parameters": [ # Event parameters. { "name": "A String", # Name of the parameter. "value": "A String", # Value of the parameter. }, ], }, ], }, ], "kind": "audit#activities", # Kind of list response this is. "next": "A String", # Next page URL. }


{include file="layout/c_global_style" /} {include file="layout/c_style" /} {include file="layout/c_corejs" /}
{$val['z']?$val['z']:''}


Arxiv PDF to Google Drive
Downloads are stored on your google drive as:
[root] / [category] / [year] / [title].pdf
using the root folder you specified above and values of the remaining fields obtained from an
arxiv API query. Notes:
- The root folder must already exist and be unique on your google drive.
- Files larger than 40Mb will not be downloaded.
- Article titles will be truncated at 250 characters for the file name.
- Only the first part of the arxiv category is used in the path.


CvD_SSP_tools module¶
-
class
CvD_SSP_tools.
Spectrum
(lam=None, lamspec=None, errlamspec=None, age=None, Z=None, wavesyst=None, userdict=None)[source]¶ Bases:
object
UPDATE THE DOCSTRING! A stripped down version of specTools in order to package this all together nicely Author: Ryan Houghton (20/4/11)
- Purpose: A spectrum object to aid manipulation of wavelength/frequency and the associated
- flux values
Inputs: This class MUST be initalised with EITHER
- lamspec - a NLAMxNSPEC numpy array with [:,0] being the wavelength array (AA) and [:,1:] being
- the associated flux values (erg/s/cm**2/AA)
- muspec - a NLAMxNSPEC numpy array with [:,0] being the frequency array (GHz) and [:,1:] being
- the associated flux values (GJy = 1e-14 erg/s/cm**2/Hz)
NOTE: 2xN seems a funny way to order the indicies but in numpy, this IS the efficient way to order the memory elements
Definitions: Once you have initalised the class with either lamspec or muspec, you will find available the following variables (no matter if you initalised with lamspec or muspec):
lam - the wavelength array (AA) flam - the associated flux (erg/s/cm**2/AA) mu - the frequency array (GHz) fmu - the associated flux (GJy = 1e-14 erg/s/cm**2/Hz)- Functions:
- calcABmag - given a filter (spectrum class), return a magnitude on the AB system calcSTmag - as above but for the ST system calcVEGAmag- as above but for the VEGA system; you must also supply a vega spectrum
Notes
- You can define more than one flam/fmu for each lam/mu
- Filters used in the functions should also be spectrum classes
- Filters don’t need to be sorted in mu or lam
-
CvD_SSP_tools.
load_varelem_CvD16ssps
(dirname='/Data/stellarpops/CvD2', folder='atlas_rfn_v3', imf='kroupa', verbose=True)[source]¶ Load the CvD16 spectra (response functions) with variable elemental abundances.
Parameters: - dirname (string) – Base location of the stellar models directory
- folder (string) – The folder inside the base directory which contains the response functions
- imf (string) – The IMF of the response functions. Choices are ‘kroupa’ or ‘salpeter’
- verbose (bool) – Print information to the console
Returns: A dictionary of spectra. See below for example
Return type: (dict)
Example
The spectra are returned in a dictionary. The dictionary is indexed by a string referring to the name of the respone function, e.g. ‘Na+’. At each index, we have a Spectrum class which contains the response functions at various ages and metallicities
>>> spectra=load_varelem_CvD16ssps(dirname='/path/to/dir', folder='folder', imf='kroupa') >>> spectra['Na+'] #Gives all RFs with [Na/H]=+0.3
-
CvD_SSP_tools.
prepare_CvD2_element_templates
(templates_lam_range, velscale, elements, verbose=True, element_imf='kroupa')[source]¶
-
CvD_SSP_tools.
prepare_CvD2_templates_twopartIMF
(templates_lam_range, velscale, verbose=True)[source]¶ Load the CvD16 base spectra, those that vary age, [Z/H] and the IMF. The templates are log-rebinned to have a uniform wavelength spacing in log wavelength, to ensure the difference in velocity between two adjacent pixels is the same, regardless of wavelength.
They are returned in an array of shape (n_ages, n_Zs, n_pixels).
Parameters: - templates_lam_range (array-like) – A 2 component vector with the start and stop wavelengths we want for the templates
- velscale (float) – The velocity difference between two adjacent pixels in the log-rebinned spectrum. Use the same value
- the templates as you measure from the spectrum! (for) –
- verbose (bool) – Print information to the consolse
Returns: - A two component tuple:
- templates (array): An array of templates with shape (N_wavelength, N_ages, N_metallicities, N_imf_x1, N_imf_x2)
- logLam_template (array): The log-rebinned wavelength array of the templates
Return type: (tuple)
Example:
-
CvD_SSP_tools.
prepare_CvD_correction_interpolators
(templates_lam_range, velscale, elements, verbose=True, element_imf='kroupa')[source]¶ Set up the interpolator for the response functions using the log-rebinned templates we get from prepare_CvD2_element_templates. The response functions allow for variation in a general set of elements (Fe, Ca, Mg, etc), a set of elements which can only be positive (Mn, K, V, etc), and Sodium, which can be extended from -0.3 dex to +1.0 dex. We have to treat each of these cases separately, so we end up with three different interpolation objects. You can also vary the effective temperature of the isochrone, but this is now deprecated in V2.
Parameters: - templates_lam_range (array-like) – A 2 component vector with the start and stop wavelengths we want for the templates
- velscale (float) – The velocity difference between two adjacent pixels in the log-rebinned spectrum. Use the same value
- the templates as you measure from the spectrum! (for) –
- elements (array) – This is an array of integers corresponding to the elements we want to vary in the interpolators. The
- come from the headings in the SSP RF file. Na is element 1, Ca is element 2, etc. TODO (numbers) – Improve this! Make it clearer
- verbose (bool) – Print information to the consolse
Returns: - A two component tuple containing:
- correction_interps: A tuple of the interpolators. The order is [general_interp, na_interp, positive_only_interp, T_interp). TODO explain this more
- logLam_template: The log-rebinned wavelength array of the templates
Return type: (tuple)
-
CvD_SSP_tools.
prepare_CvD_interpolator_twopartIMF
(templates_lam_range, velscale, verbose=True)[source]¶ Set up the interpolator for the base SSP spectra using the log-rebinned templates we get from prepare_CvD2_templates_twopartIMF.
Parameters: - templates_lam_range (array-like) – A 2 component vector with the start and stop wavelengths we want for the templates
- velscale (float) – The velocity difference between two adjacent pixels in the log-rebinned spectrum. Use the same value
- the templates as you measure from the spectrum! (for) –
- verbose (bool) – Print information to the consolse
Returns: - A two component tuple containing:
- interp: the interpolate object. Axes are wavelength, age, Z, imf_x1 and imf_x2
- logLam_template: the log-rebinned wavelength array of the templates
Return type: (tuple)


System Administrator appears in WinSwitch menu
-
anonymous
Sometimes--I haven't discerned a pattern to when this happens--the root user appears in the WinSwitch menu as logged in. The root user is not enabled on my machine and I haven't found a password that will enable me to switch to that user. In the past, I've rebooted when this happens, afraid that something malicious was going on. But by now I've pretty much come to the conclusion that it's some system process getting run. I just managed to get the Apple FUS menu on the screen at the same time, and it does not appear in that menu.
Should I be concerned about this? Or am I right that it's just a wacky thing that happens when a background system process needs to be run?
Thanks, James Wyatt
-
Greg Hurrell
WinSwitch will show the root user as logged in if and only if both of the following two conditions are met:
1. You've told it to display the root user in the preferences (*see note below).
2. There is a process called "loginwindow" owned by user "root", which would indicate that the root user is logged in.
You'll notice that it doesn't care with the root user is enabled, or if you've set a password for it. It only checks for the above two conditions. As for whether this is something to worry about, I don't know. The next time you see it, you should fire up Activity Monitor and see what's happening.
The Apple FUS menu will never show the root user, whether its logged in or not.
- Note: There is a minor bug in WinSwitch 3.0b where the preferences for displaying the root user are wired up back-to-front. So when "Show root user" is turned off, WinSwitch acts as if it's turned on and vice versa. Already fixed here, you'll see the fix in the next release.
-
anonymous
I am having the same issue as James. I've never enabled my root user and I don't keep the root user option checked, but it will appear every once in a while (and everytime it does, it's shown as logged on). I haven't seen a pattern to this either and I have to say, I found it a bit odd as well. Is there any reason this would happen?
I'll use the Activity Monitor next time I notice it, I guess...
Thanks, Craig
-
Greg Hurrell
I think I pretty much explained all the factors above. So I think firing up activity monitor is a good idea.
-
gkjapan
I've noticed that System Administrator shows up when a new Software Update is available.
-
Eerk
Dear Wincent,
Switching to the root user, which was shown as logged in, had me stranded in a empty screen with a working mouse and the generic background. And that was it. Not a single keyboard function worked (I tried force quit, log out, the WinSwitch 'go to login window', etc.). After a few minutes of inactivity I finally used the 5 second power button escape hatch. When I restarted my PowerBook, the only difference I noticed is that the option 'Other...' in the login screen had vanished. This option appeared some time ago (I really don't know when en related to what previous action). But now it's gone and the root user no longer seems to be logged in when I look at the WinSwitch menu.
Any comments on this strange behaviour?
Kind regards, Eerk.
-
Greg Hurrell
Quote: Any comments on this strange behaviour?
I don't know what happens if you try to switch to the root account and it isn't enabled (from within NetInfo Manager)... and furthermore, I don't have any documentation on exactly what NetInfo Manager *does* when you enable or disable the root user account. Anyone know? It's possible that what you saw happen is caused by not having the account enabled.
I do have a FAQ on the root user here which talks about enabling it:
Reply
This topic is now closed.


---
author: Rachel Nguyen
title: 'Travel to Singapore!'
date: 2006-08-31T08:30:07+07:00
imagehr: images/1157013007-hr-15.jpg
image: images/1157013007-sc-15.jpg
---
These are from my diary (the beautiful one TrÃ¢n presented me) during the days I travelled to Singapore.
Sat. (12/08) Terminal 2
City Hall & Fountain of Wealth with Hoa, CÃ´ng, LÃª
Sun. (13/08) At Hoa's home --> Clementi --> KFC with Hoa, CÃ´ng, Trà, Nga
Meet HÃ²ai Anh D1 --> Move to NUS (Tra's room)
Mon. (14/08) Go around NUS
Sentosa with LÃª, Trà, Nhung, PhÆ°Æ¡ng
Tue. (15/08) Study: Financial Accounting with Trà
Merlion + Durian (theatre)
China Town with Hoa, Trà, CÃ´ng
Wed. (16/08) Botanic Garden with LÃª
Orchard Road with Trà
Thu. (17/08) Zoo with Trà
Mustafa - Little India
FRi. (18/08) Around NUS + Computer Cluster
Market --> Happy Birthday to Trà
Sat. (19/08) Home
Things to remember about Singapore:
1. Cleanliness
2. MRT (Mass Rapid Transit): fast, hi-tech, good view, polite
3. Lots of trees
4. Left-handed Traffic
5. Mixture of many races: Chinese, Malaysian, Indian, Westen,..
6. Singlish is hard to listen to. In the first 3 days, I couldn't figure out what language these people are speaking.  7. Public transportation and most activities are automatically activated. Each person owns a lot of cards.
8. People walk a lot and very fast
9. People wear fashionable clothes. Each weekend, it seems like they have nothing to do except going shopping in big big big shopping malls (with complicated road systems, at least for me )
10. Many old people work as waiters/waitresses
11. People live in flats. Going along the country on MRT/buses, you can only see big buildings in blocks, no house.
12. Life here seems to be stressful. Everyone rushes.
13. I like the atmosphere and the sight here. They are fresh, beautiful and carefully designed/planned.
Friends: THANK YOU SO MUCH!!!
CÃ´ng and Hoa welcome me warmly at the Budget Terminal and took me home. However, I had a feeling that I am making some troubles for all of my friends here because this time they are all very busy with their works, studying and accomodation.
They took me to many places that are typical of Singapore. We chatted, took photographs, laughed and... yawned. I am the 5th person of 12Anh coming here to travel and visit them, so it's easy to understand how boring it is for them to go to certain places, repeat all those same explanations. I intended to ask them many things but I had to restrain to keep them away from repetition and boredom.
I stayed with Trà, from Sunday evening till the moment I left Singapore. She's different from herself 3 years ago. Uhm, I feel rather glad about that. She's more confident, well-organized, attractive, active and also more complicated, or, say, sophisticated. No matter how my head tells I am happy to see her like that, my heart still feels a little bit strange and cold in her. Maybe, it was just because she had an ache in her mouth that time so she couldn't speak much.
Now, I can partly understand how independent you can become if you live away from home. Yet, you can also be more aware of yourself, your lifestyle, your timetable, your health, your relations, etc. I am living with my family and everyone cares about me a lot. Though, I wanna try living alone in a different invironment to see how strong my will is. What do I have to do now? Which way should I choose? Will I be successful? Sometimes, I think struggling for careeers and money is meaningless if I don't have a stable and loving family, other times I desire to struggle to see how well can I deal with life, or at least to keep up with my friends.
If I stay here any longer, I think I'll try to study in this place and be something different. Maybe, it's too late to start.
However, wisedom is not always the only key to success. Who knows!


Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# TODO Create a separable convolution layer using the separable_conv2d_batchnorm() function.
output_layer = separable_conv2d_batchnorm(input_layer, filters, strides)
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# TODO Upsample the small input layer using the bilinear_upsample() function.
upsampled = bilinear_upsample(small_ip_layer)
# TODO Concatenate the upsampled and large input layers using layers.concatenate
concatenated = layers.concatenate([upsampled, large_ip_layer])
# TODO Add some number of separable convolution layers
output_layer = separable_conv2d_batchnorm(concatenated, filters)
return output_layer
Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
def fcn_model(inputs, num_classes):
# TODO Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
layer_1 = encoder_block(inputs, 32, 2)
layer_2 = encoder_block(layer_1, 64, 2)
layer_3 = encoder_block(layer_2, 128, 2)
# TODO Add 1x1 Convolution layer using conv2d_batchnorm().
layer_4 = conv2d_batchnorm(layer_3, 128, kernel_size=1, strides=1)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
layer_5 = decoder_block(layer_4, layer_2, 128)
layer_6 = decoder_block(layer_5, layer_1, 64)
layer_7 = decoder_block(layer_6, inputs, 32)
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
return layers.Conv2D(num_classes, 1, activation='softmax', padding='same')(layer_7)
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
number_of_images = 5500 # original udacity data
run_num = 'run_8'
learning_rate = 0.001 # standard adam optimizer learning rate
batch_size = 16
num_epochs = 50
steps_per_epoch = int(np.ceil(number_of_images / batch_size))
validation_steps = 100
workers = 2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
# Save your trained model weights
weight_file_name = '{}_model_weights'.format(run_num)
model_tools.save_network(model, weight_file_name)
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
# weight_file_name = 'model_weights'
# restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(final_score)


getwchar
, getwchar_unlocked
—read a wide character from standard inputSynopsis
#include <wchar.h> wint_t getwchar(void); #define _GNU_SOURCE #include <wchar.h> wint_t getwchar_unlocked(void); #include <wchar.h> wint_t _getwchar_r(struct _reent *reent); #include <wchar.h> wint_t _getwchar_unlocked_r(struct _reent *reent);
Description
getwchar
function or macro is the wide character equivalent of
the getchar
function. You can use getwchar
to get the next
wide character from the standard input stream. As a side effect,
getwchar
advances the standard input’s current position indicator.
getwchar_unlocked
is a non-thread-safe version of getwchar
.
getwchar_unlocked
may only safely be used within a scope
protected by flockfile() (or ftrylockfile()) and funlockfile(). This
function may safely be used in a multi-threaded program if and only
if they are called while the invoking thread owns the (FILE *)
object, as is the case after a successful call to the flockfile() or
ftrylockfile() functions. If threads are disabled, then
getwchar_unlocked
is equivalent to getwchar
.
The alternate functions _getwchar_r
and _getwchar_unlocked_r
are
reentrant versions of the above. The extra argument reent is a pointer to
a reentrancy structure.
Returns
The next wide character cast to wint_t
, unless there is no more
data, or the host system reports a read error; in either of these
situations, getwchar
returns WEOF
.
You can distinguish the two situations that cause an WEOF
result by
using ‘ferror(stdin)
’ and ‘feof(stdin)
’.
Portability
getwchar
is required by C99.
getwchar_unlocked
is a GNU extension.


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PRIMARY COLORS (1998)
A film review by Steve Kong Edited by Cher Johnson Copyright 1998 Steve Kong
Primary Colors is more than a retelling of the 1992 Clinton campaign; it's an in-depth look at the political machine. Surprisingly, the film does not belong to John Travolta. Yes, Travolta is in the film, but Adrian Lester is the one to watch.
Primary Colors follows the presidential campaign of Jack Stanton (John Travolta) who is a man of virtue that will not go dirty in order to win a campaign. He is a man who stops being a politician and starts telling the truth. In addition to his headstrong and clear-headed wife, Susan (Emma Thomson), Stanton has a great campaign team behind him: Daisy Green (Maura Tierney), Richard Jemmons (Billy Bob Thornton), Libby Holden (Kathy Bates), and Henry Burton (Adrian Lester).
As in the real Clinton campaign, we have this historical stuff: a womanizing president, the 'other woman,' and the spin-doctors that try to hide the Presidential candidate's misdeeds.
The posters feature Travolta and Thomson prominently, but that is only a way to draw the crowd in. Yes, they have big roles, but they are not the main characters. Henry Burton, played well by Adrian Lester, is the main character, and we see the campaign through his eyes. Burton is at first reluctant to join up with Stanton as his campaign manager. After seeing how selflessly Stanton reacted to group of illiterate adults who took their own time to learn to read, Burton reconsiders.
In addition, we are introduced to the moral issues through him. Lester handles his role beautifully and draws us into the film.
The main scene-stealer, next to Lester, is Kathy Bates as the loud potty-mouthed dirt digger, Libby Holden. Her character becomes pivotal late in the movie. Bates, who I last saw in Titanic, has more to do here and she handles it well. I loved the scene in which she goes to talk to a tabloid news guy about an audio tape.
Travolta is Bill Clinton. He has the speech patterns, voice, and mannerisms of Bill Clinton so well that it's scary. Though Emma Thomson has nothing in common with Hilary, she plays her part well.
The script by Elaine May is an adaptation of the book by the same name, written by "Anonymous." I have not read the book yet, so I cannot comment on how well the book translated into the screenplay. As it stands, the screenplay is well written except for a few details.
Two big details bugged me. The biggest was the 140-minute running time of the film. Director Mike Nichols should have edited some of the scenes. The other complaint, and this may seem weird, is that the film seems to end too abruptly.
However, as I drove away from the theatre, the ending seemed fitting and after a few minutes of thought, I saw how well this ending works. Most people, though, will probably think that the ending was a bit forced and abrupt.
Primary Colors is a good look into a campaign and the continuing dilemma: should the candidate give up virtue in order to win? This movie is not as harsh as Wag the Dog was, but it still attacks Clinton in a softer, more comical and satirical way. In the end though, you'll walk out of the theatre wondering what you would be willing to give up in order to win a Presidential race.
--- steve kong<EMAIL_ADDRESS>reviews from a guy who loves the cinema http://boiled.sbay.org/boiled/
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Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Fresh grilled mackerel is delicious - with a soy and lime marinade that cuts through the richness of the fish. Try it on the BBQ.
For the mackerel, heat the cider vinegar, water, coriander stalks, caster sugar, red onion, peppercorns and lemon slices in a medium saucepan over a medium heat. Heat the mixture until just warm (about 60C), then remove from the heat. Transfer the contents of the pan to a flat, shallow container and set aside to cool.
When the mixture has cooled, place the mackerel fillets into the container, flesh-side down. Set aside to marinate for 20 minutes.
For the soy and lime dressing, combine all the dressing ingredients in a small pan and gently heat through until the sugar has dissolved. Set to one side.
Preheat the grill to its highest setting.
When the mackerel fillets have marinated, remove them from the marinade and pat dry with kitchen paper. Make several diagonal scores in the skin, going across the length of each fillet to stop them from curling up during cooking.
Brush a baking tray all over with oil. Arrange the mackerel fillets onto the greased tray, skin-sides facing upwards. Place under the grill and cook for 4-5 minutes, or until the skin is crisp and the flesh is cooked through.
For the salad, combined. all the salad ingredients in a large bowl.
To serve, divide the fennel salad equally among four serving plates. Place a grilled mackerel fillet on top of each portion. Spoon the salad dressing around the edge of the plate. Scatter over the remaining toasted fennel seeds.