DEVIL IN A BLUE DRESS A film review by Chad Polenz Copyright 1997 Chad Polenz
**1/2 (out of 4 = OK) 1995, R, 101 minutes [1 hour, 41 minutes] [mystery/crime] starring: Denzel Washington (Easy Rawlins), Tom Sizemore (Dewitt Albright), Jennifer Beals (Daphne Monet), Dan Cheadle (Mouse), produced by Jesse Beaton, Gary Goetzman, written and directed by Carl Franklin, based on the book by Walter Mosley.
>From the title alone, "Devil In A Blue Dress" sounds like it is another retread to the mystery and crime movies of the 1930s and 40s "film noir," and it is. Anyone can make a film that looks and acts like film noir with Gothic stories of deception, intrigue, and organized crime, but this film doesn't offer anything new.
Denzel Washington stars as Easy Rawlins, a young black man living in Los Angeles in the late 1940s, who isn't poor but manages to get by with bare essentials. When he is laid off from his job he suddenly finds himself playing the role of a detective and informant for some type of mob boss, but neither he, nor the viewer really understands what he is doing, for whom, and why.
Easy is hired by a Albright (Sizemore), a typical goon, to find a mayoral candidate's fiancee, but for what purpose? We never get much of an answer, and by the time we do, the story becomes so confusing it doesn't seem relevant. As soon as we meet Easy he becomes a P.I. of sorts, but how do we know he can do it? And why would these people hire him to do this? Again, many questions like these are never answered, because we aren't supposed to think about them.
As if the search for the woman wasn't already enough, Easy has a passionate affair with a woman who later ends up dead and of course the police suspect him. So it becomes a "prove your innocence" story while still trying to solve the case of the missing dame. But the film doesn't tell this story in any kind of unique or creative manner, all we get is a rather "novel" story of the young man on the run from the mob while trying to clear his name. There is a lot of narration and cliche dialogue, but it doesn't add up to anything.
The standard formula for any mystery story is to make it as complex as possible between as few characters as possible, that way when the killer is finally caught we realize they were under our nose all along. This film takes that principal and rides it all the way, bringing in cops, mobsters, politicians, and close friends and family. This wouldn't be so bad if the story didn't have a generic mystery tone to it. Just in the way the characters speak (like Bogey), their costumes, and the basic premise is so formulated it almost seems like a satire film of sorts.
The story is confusing, the actual scenes themselves are somewhat interesting, and certainly watchable. "Devil In A Blue Dress" is not a bad movie, but it's not very good either. We don't have enough information about the characters to make us care. It's difficult to make a good mystery movie anymore, maybe they just shouldn't try so hard.
please visit Chad'z Movie Page @ http://members.aol.com/ChadPolenz/index.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


Hi, I am marcelo I am a senior and I am from Brazil. I really like videogames such as fortnite, CsGo, Pubg, but I also like spots like Soccer and basketball. I have been playing soccer since I was a kid, and computer games since 2014.


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Welcome to the Helperstain.
I hope you have a good time.
Welcome to Helperstain. I created this website for my CS50 project. Through this project, I was able to improve myself in programming. I recommend you to try this course if you already don't.
My purpose when setting up this site was to help people and show them useful resources that I find helpful. My other purpose was to support people who have frustrating times while coding by motivating them with the quotes of famous people like Bill Gates, Tim Cook, etc.


2013-09-09 Light subterfuges5
Surprisingly, Ryanair has arrived 35 minutes early. Madrid-Charleroi, (1,500 km.) From 6.30 to 8.30. Low-Cost begins its economization with our most vital and valuable resource. There are no limits to savings. If the delays are cumulative, the advances as well. Dozens of passengers may have missed the flight today because the plane was taking off too soon. In sports competitions, it’s advisable to keep the advantage. At 18:00 a plane with more than 9,000 kilometers in less than 12 hours begins to arrive late. The rush produces stumbles. Passengers, queues and impatience. Every river returns to its channel.
The cheapest way to get to Brussels from Charleroi (let no one fool you) is to take the buses from the Walloon area of Belgium, the TEC company to Charleroi Sud Gare. The buses are at the end of the terminal, you should not leave the terminal directly, but walk towards the end and there we find the vending machines. 5€ per person [CHARLEROI Brussel South Charleroi Airport GOSSELIES (HAINAUT) - CHARLEROI Sud Gare SNCB CHARLEROI (HAINAUT)]. Later, at the South Station, if we are students under 26, we will buy a GoPass (50€ for 10 trips) and if we are over 26 a RailPass (a bit more than 70€ for 10 trips) This way we will get to Brussels for 10€ or 12€ depending on our age. Exquisite punctuality. At the airport we will find taxi drivers who offer the Charleroi-Brussels trip for 13€. A small price difference saves time. To the taste of the consumer.
The customer service of the Belgian train service officials is excellent. Many speak Spanish, in addition to English, French and Dutch (depending on the area); and they have no problem in providing you with a sheet of paper with the itinerary you have to follow to reach your destination. In our case, Leuven.
Once in Leuven, we have been surprised by blocked streets and a slight buzz of partying. Arriving at Grote Markt from the train station, along the Bondgenotenlaan (Avenue of the Allies), we find a picturesque scene. A bunch of Belgians, some of them independentists and a kind of parade starting at the town hall (Grote Markt). After having toured the city, a group of international students have come to Sint-Donatuspark to see a firework show. Just something to talk about. Forced introductions that will end in eternal farewells. I do not know the reasons for both, the congregation in Grote Markt and the fires in the park. I should continue investigating. I will not comment on the quality of the show, my Valencian friends would get angry.
I prefer symbolism.
The sky, black, burning and bleeding. No recoils are conceived; now they are tears. Artificial light that forcing the frowning. My face hurts. Squeaking in the calm of nature. That dark peace. Loud applause after twenty minutes of firecrackers. As a way of inauguration of my new life in this country, Belgium. Of my new life in this city, Leuven.
Now a real poem.
Light subterfuges, lizards, list
on top of the palm that creates it,
invention of colors in sight,
if transitory, blue, piraeus.
To the greater glory of the powdermaker,
straight the cane, circles plans:
a whole fleeting course of geometry,
beginning of its end, closed to the day.
Original
Subterfugios de luz, lagartos, lista
encima de la palma que la crea,
invención de colores a la vista,
si transitoria, de azul, pirea.
A la gloria mayor del polvorista,
rectas la caña, círculos planea:
todo un curso fugaz de geometría,
principio de su fin, vedado al día.
Hernández and Hernández (1976)
References
Hernández, Miguel, and Miguel Hernández. 1976. Perito En Lunas; El Rayo Que No Cesa. Vol. 1. Alhambra.
First entry of Excusas para no volver, my first travelling blog.↩


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More importantly, there are people from different different academic backgrounds, nations, cultures.
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Gradual Change of Magnetic Card Keys Begins in Las Tunas (+Frequently Asked Questions)
by István Ojeda BelloAs in the rest of the country, also in this eastern Cuban province, the change of the PIN of the magnetic cards associated with accounts in the national banking system has begun. The gradual process seeks to streamline payments through POS terminals in the commercial network and strengthen the security of these operations.
Las Tunas, Cuba.– Gradually, when the holders of the cards associated with the banks of Credit and Commerce (BANDEC), Popular Savings (BPA) and Metropolitan, go to an ATM to carry out an operation, the system itself will request the change of PIN. Although, if the holders prefer so, they will be able to keep the current key.
This change is necessary due to the installation of a new platform for the POS network; so that people only have to use their PIN as a means of authentication when paying and not to sign a document as is currently done.
Yuslaidys Avila Puig, a specialist in Electronic Banking at the Bank of Credit and Commerce in Las Tunas, stressed that this novelty "will minimize the time spent on each operation by eliminating the cumbersome process of entering the cardholder's data in each transaction and improvements in security. Thus, the customers themselves will enter their PIN to carry out the operation."
The use of the PIN together with an identity document is the most widely used international way to authenticate that who presents a magnetic card to make a purchase is its legal holder.
FREQUENTLY ASKED QUESTIONS
In my municipality there are no ATMs, how do I change the PIN, is there an option in Transfermovil or on the web?
The PIN change will be a gradual process, which will be requested from customers through ATMs, so far this is the only option that offers the necessary security for this process; others are evaluated for the future.
What happens if I do not change my password on November 13?
Nothing will happen, in fact, the PIN change will not start on the 13th for all cards. It will be a gradual process, and just wait until the time comes to enable the change for your card. You will know this when you operate in the ATM and the blue screen of this publication is shown.
If I do not change my PIN, can I continue to make transactions at the ATM?
Yes, you can continue operating at the ATM and in the rest of the electronic payment channels. Once the screen inviting you to change the PIN at the ATM is displayed, you can make the change at that time or later, however, we recommend that you make the PIN change from the first time, to avoid displaying the screen each time you operate at the ATM. We remind you that this is a one-time process.
After the screen is displayed and I change the password, can I change my password again later if I wish?
Yes, you can change your password in the ATM every time you consider it.
When will the password be used in payments at POS terminals? Will it be at all POS at once?
It will be in 2020, on a date yet to be determined, which will depend on the progress that exists in the change of the keys.
It will not begin to be enabled in all the POS at the same time, it will be enabled gradually starting with the locations with ATMs installed, where people have been able to make the change of password, a process that will be continuously monitored so as not to affect the service.
Will I be able to pay with my card without having changed the password at the POS where the password begins to be used?
No, the change of password is implemented so that you can use the card in the POS that activates the use of the PIN in payments. The use of the password in payments by POS will be enabled gradually in the localities where the conditions are created so that people have been able to change their password.
Source: Central Bank of Cuba.


| gdata.Crypto.Hash | index /usr/local/google/home/afshar/src/external-gdata-release/google3/src/gdata/Crypto/Hash/__init__.py |
Hashing algorithms
Hash functions take arbitrary strings as input, and produce an output
of fixed size that is dependent on the input; it should never be
possible to derive the input data given only the hash function's
output. Hash functions can be used simply as a checksum, or, in
association with a public-key algorithm, can be used to implement
digital signatures.
The hashing modules here all support the interface described in PEP
247, "API for Cryptographic Hash Functions".
Submodules:
Crypto.Hash.HMAC RFC 2104: Keyed-Hashing for Message Authentication
Crypto.Hash.MD2
Crypto.Hash.MD4
Crypto.Hash.MD5
Crypto.Hash.RIPEMD
Crypto.Hash.SHA
| Package Contents | ||||||
|
| Data | ||
| __all__ = ['HMAC', 'MD2', 'MD4', 'MD5', 'RIPEMD', 'SHA', 'SHA256'] __revision__ = '$Id: __init__.py,v 1.6 2003/12/19 14:24:25 akuchling Exp $' |


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Dusk Priestess:
Until the day of revolution! The Seal of Death has awoken!  [The competition is underway. New participants in the Seven Signs may start immediately.]
[Seven Signs Information]
What is the Seven Signs?
Purchase Record of the Seven Signs.
[Participate in the Seven Signs]
How do I participate in the Seven Signs?
Participation in the Seven Signs


TIC TAC TOE
This is a warning message.


Add the following interface and bean to your test sources (they could even be inner classes of a test case):
public interface Caller {
public <V> V call(Callable<V> callable) throws Exception;
}
import java.util.concurrent.Callable;
@Stateless
@TransactionAttribute(REQUIRES_NEW)
public class TransactionBean implements Caller {
public <V> V call(Callable<V> callable) throws Exception {
return callable.call();
}
}
In src/test/resources/ (or related) create an META-INF/ejb-jar.xml
containing the text "
Essentially what we've done is added an ejb that will be picked up as part of your test code and deployed. You can then look it up and use it to execute test code with any particular transaction or security constraints that you want. The above bean specifies REQUIRES_NEW; functionally the same as REQUIRED as the test case itself won't have a transaction, but a little cleaner and more explicit.
You could also annotate the bean with @RunAs("manager") for example and test that your security restrictions are how you like them. You can have as many of these test beans in your test code as you like, each with it's own transaction and security constraints allowing you to write some incredibly thorough tests.
You do not need to use java.util.concurrent.Callable, any similar interface of your creation could work just as well. You may want something with return type void, for example, to eliminate useless 'return null' statements.
There are a number of style choices for using the above bean, specifically around the creation of the Callable object you pass in, and it all really depends on what looks nice to you.
In the examples below, the Movies bean being tested is simply a thin layer around JPA that allows us to use enforce various transaction semantics.
import javax.ejb.Stateful;
import javax.ejb.TransactionAttribute;
import static javax.ejb.TransactionAttributeType.MANDATORY;
import javax.persistence.EntityManager;
import javax.persistence.PersistenceContext;
import javax.persistence.PersistenceContextType;
import javax.persistence.Query;
import java.util.List;
@Stateful(name = "Movies")
@TransactionAttribute(MANDATORY)
public class MoviesImpl implements Movies {
@PersistenceContext(unitName = "movie-unit", type = PersistenceContextType.TRANSACTION)
private EntityManager entityManager;
public void addMovie(Movie movie) throws Exception {
entityManager.persist(movie);
}
public void deleteMovie(Movie movie) throws Exception {
entityManager.remove(movie);
}
public List<Movie> getMovies() throws Exception {
Query query = entityManager.createQuery("SELECT m from Movie asm");
return query.getResultList();
}
}
Test code below.
The Callable can be created right in the test method itself.
public class MoviesTest extends TestCase {
private Context context;
protected void setUp() throws Exception {
// initialize jndi context as usual
}
public void test() throws Exception {
Caller transactionBean = (Caller)
context.lookup("TransactionBeanLocal");
transactionBean.call(new Callable() {
public Object call() throws Exception {
Movies movies = (Movies) context.lookup("MoviesLocal");
movies.addMovie(new Movie("Quentin Tarantino", "Reservoir Dogs", 1992));
movies.addMovie(new Movie("Joel Coen", "Fargo", 1996));
movies.addMovie(new Movie("Joel Coen", "The Big Lebowski",1998));
List<Movie> list = movies.getMovies();
assertEquals("List.size()", 3, list.size());
for (Movie movie : list) {
movies.deleteMovie(movie);
}
assertEquals("Movies.getMovies()", 0,movies.getMovies().size());
return null;
}
});
}
}
Maybe you'd like to test how things behave with and without a transaction to guarantee everyone is doing the right thing in all situations. Negative testing is often a very good way to stomp out dangerous bugs.
public class MoviesTest extends TestCase {
private Context context;
protected void setUp() throws Exception {
// initialize jndi context as usual
}
private void doWork() throws Exception {
Movies movies = (Movies) context.lookup("MoviesLocal");
movies.addMovie(new Movie("Quentin Tarantino", "Reservoir Dogs",1992));
movies.addMovie(new Movie("Joel Coen", "Fargo", 1996));
movies.addMovie(new Movie("Joel Coen", "The Big Lebowski", 1998));
List<Movie> list = movies.getMovies();
assertEquals("List.size()", 3, list.size());
for (Movie movie : list) {
movies.deleteMovie(movie);
}
assertEquals("Movies.getMovies()", 0, movies.getMovies().size());
}
public void testWithTransaction() throws Exception {
Caller transactionBean = (Caller)context.lookup("TransactionBeanLocal");
transactionBean.call(new Callable(){
public Object call() throws Exception {
doWork();
return null;
}
});
}
public void testWithoutTransaction() throws Exception {
try {
doWork();
fail("The Movies bean should be using TransactionAttributeType.MANDATORY");
} catch (javax.transaction.TransactionRequiredException e) {
// good, our Movies bean is using TransactionAttributeType.MANDATORY as we want
}
}
}


More
Buy our Tree Branches
Tree Branches That Provide life
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Trees Give Oxygen
And Oxygen Gives Life
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Table
Tree
Type of Branches
Availablity
Oak
5
Available
Neem
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Available
palm
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Not avialable


int gzseek ( resource $zp , int $offset [, int $whence = SEEK_SET ] )
Sets the file position indicator for the given file pointer to the given offset byte into the file stream. Equivalent to calling (in C) gzseek(zp, offset, SEEK_SET). If the file is opened for reading, this function is emulated but can be extremely slow. If the file is opened for writing, only forward seeks are supported; gzseek() then compresses a sequence of zeroes up to the new starting position.
Upon success, returns 0; otherwise, returns -1. Note that seeking past EOF is not considered an error.


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We bring out the very best in various Asian cusines. Come try one of our lunch bowl specials for only 5 dollars! Located on Market street.


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This maze generator and the accompanying algorithm was inspired by a slide show by Jamis Buck called "Algorithm is Not a Four Letter Word." It is a great read that goes over what mazes are, various ways of generating mazes and the importance of working with algorithms. You can learn more about what I learned while making this generator and algorithm over at this blog post: Maze Generating Algorithms: Fun with HTML and JavaScript
To use the generator simply click 'generate' and a default maze will start popping up. You can set the width and height of the maze (within bounds based off of the cell size you select). If you make some changes, clicking 'generate' will clear the existing maze and start up another. If you'd like to play with the complexity of the maze, use the style modifier. Low numbers will result in long passages, high numbers will result in a lot of dead-ends. If you use a mid-range number you'll get a little of both. Once the maze is done generating, the start will be marked green and the furthest spaces from the start will be marked red.
Have fun and enjoy! If you have any questions or suggestions, be sure to check out the blog post and leave a comment! I'll post updates below as they roll in.
Removed size limits and added scrolling if maze gets too large. Added zooming and save/load functionality. Copy and paste the generated string to share created mazes! Added 'printer-friendly' mode.
Added "heat map" view which is a great way to visualize the distance from start of individual cells. It also helps illustrate the differences introduced with the style modifier.
Launched! Use the input fields to tweak how the maze is generated. More cool features to come as time progresses!


| ID | Customer | Customer | Pedelec | Start Time | End Time | From Location | To Location | |
|---|---|---|---|---|---|---|---|---|
| {{transaction.transactionId}} | {{transaction.majorCustomerName}} | {{transaction.cardId}} | {{transaction.pedelec.manufacturerId}} | {{transaction.startDateTime | date:'short'}} | {{transaction.endDateTime | date:'short'}} | {{transaction.fromStation.name}} Slot {{transaction.fromStation.slotPosition}} | {{transaction.toStation.name}} Slot {{transaction.toStation.slotPosition}} |


--- layout: page title: Welcome search_omit: true --- The Physics Student Association (PSA) represents the Physics and Engineering students at the University of the Fraser Valley (UFV), in Abbotsford, British Columbia. We exist to serve the students of UFV by augmenting the existing instruction provided through presentations, tours, and social events.


Hello World
Qudamah Coleman
I am putting my skills to the test
This page is where I will show what I have learned


Japanese bilingual security consultant at Secureworks. Kyber crystal turned red from blue. Motivated for all things infosec. Always willing to help people learn and get involved in the field. Perpetually stoked and usually caffeinated enough to see the future.
Certifications:
OSCE3 (OSWE, OSEP, OSED), OSCP, OSCE, OSEE, OSWP, eCTHP, GCPN
Hack the Box:
Keramas
HTB & CTF Team:
Neutrino Cannon


THE BEST MAN A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): **
In writer/director Malcolm D. Lee's THE BEST MAN, old college chums are gathering for a wedding. Complicating their reunion is a new novel by one of them, Harper (Taye Diggs), that contains thinly veiled references to each of them.
Like a pleasant-enough pilot for a new television series, the good-spirited movie goes down easily, albeit not memorably. The exceedingly attractive actors and actresses have well-endowed bodies and play successful upper middle class professionals. Most scenes find them grinning from ear to ear, as they clearly enjoy their roles.
 Although it may be authentic, the racial and sexist language may make some viewers feel uncomfortable. "You can't trust these bitches," Quentin (Terrence Dashon Howard) tells the others as his take on the female half of the world.
The good-natured poker fest ends in an argument when Quintin suggests the possibility that Mia (Monica Calhoun), the bride at the upcoming wedding, might have had other lovers just like the groom, Lance (Morris Chestnut), a football star with a famous libido. Believing in the old double standard, Lance comes unglued when Quintin suggests Mia might have experienced some of the same sexual freedom that Lance brags about.
Most of the movie has a light, breezy feel like its dreamy jazz music. People are always hugging each other and asking how the other is doing. In a movie that goes on a half-hour too long for a romantic comedy, these are among the scenes that are badly in need of trimming.
Eventually, Harper's book introduces complications in the friends' camaraderie. They accidentally begin to refer to each other with the names of their characters from his novel. By the end, the comedy turns serious as the wedding itself is put in jeopardy by certain revelations.
The movie contains few missteps, but the director never manages to make the material compelling. I'm an extremely emotional sort when it comes to weddings, and I cry at the weddings of people whom I barely know. But at the big wedding finale in this picture, it was the cast crying, not me.
THE BEST MAN runs way too long at 1:58. It is rated R for language, sex, brief nudity and mild violence and would be acceptable for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


- layoutChildren() - Method in class com.iha.emulator.ui.panels.chart.DateAxis
-
- LightSensorValue - Class in com.iha.emulator.models.value.implemented
-
Implementation of
Value
interface, extending
AbstractValue
representing Light intensity sensor.
- LightSensorValue(String, String, int, String, boolean, boolean, Random, Long) - Constructor for class com.iha.emulator.models.value.implemented.LightSensorValue
-
Creates and initializes new instance of Light intensity sensor from given information as parameter.
- linearDistribution(double, double, double, double) - Static method in class com.iha.emulator.utilities.Utilities
-
Generates new value from current one using linear distribution.
- linearDistributionContainer - Variable in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogView
-
- linearDistributionContainer - Variable in class com.iha.emulator.ui.dialogs.sensor.SensorDetailsDialogView
-
- linechart - Variable in class com.iha.emulator.ui.panels.chart.ResponseChart
-
chart
- listConteiner - Variable in class com.iha.emulator.ui.dialogs.adapter.DeleteAdaptersDialogView
-
- listConteiner - Variable in class com.iha.emulator.ui.dialogs.sensor.DeleteSensorsDialogView
-
- listConteiner - Variable in class com.iha.emulator.ui.dialogs.task.DeleteTasksDialogView
-
- listeners - Variable in class com.iha.emulator.utilities.handlers.ErrorHandler
-
list of error event listeners
- listenForMessages() - Method in class com.iha.emulator.communication.server.ServerReceiver
-
Deprecated.
- listenForMessages() - Method in class com.iha.emulator.communication.server.ssl.ServerReceiver
-
Listening and processing of messages sent by server.
- listenToValueChanges() - Method in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogPresenter
-
Add listeners for changes on value information container field, so user have to confirm changes before selecting
next value or changing sensor.
- listenToValueChanges() - Method in class com.iha.emulator.ui.dialogs.sensor.SensorDetailsDialogPresenter
-
Add listeners for changes on value information container field, so user have to confirm changes before selecting
next value or changing sensor.
- loadDefaultProperties(String) - Method in class com.iha.emulator.utilities.Utilities
-
Method loads .properties file, with filename given as parameter, and loads it's properties.
- loadDialogForXML(Stage, String) - Static method in class com.iha.emulator.utilities.Utilities
-
Shows FileChooser
dialog for loading XML file.
- loadedProperties - Variable in class com.iha.emulator.ui.simulations.chooser.ChooserPresenter
-
properties loaded from configuration file
- loadProperties(String) - Static method in class com.iha.emulator.utilities.Utilities
-
Loads properties from given properties filename.
- loadTemplate() - Method in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogPresenter
-
Shows dialog, where user chooses XML file with sensor template to be loaded.
- loadTemplate() - Method in class com.iha.emulator.ui.dialogs.task.AddNewTaskDialogPresenter
-
Shows dialog, where user chooses XML file with task template to be loaded.
- loadTemplateBtn - Variable in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogView
-
- loadTemplateBtn - Variable in class com.iha.emulator.ui.dialogs.task.AddNewTaskDialogView
-
- loadView() - Method in class com.iha.emulator.ui.dialogs.adapter.AddAdapterDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.adapter.ChangeAdapterDetailsDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.adapter.DeleteAdaptersDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.adapter.ShowAdaptersDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.sensor.DeleteSensorsDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.sensor.SensorDetailsDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.server.ChangeServerDetailsDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.task.AddNewTaskDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.task.DeleteTasksDialogPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.dialogs.thread.ThreadTesterPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.panels.adapter.details.AdapterDetailsPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in interface com.iha.emulator.ui.panels.PanelPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.panels.sensor.SensorPanelPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.panels.server.details.ServerDetailsPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.panels.task.details.TaskDetailsPresenter
-
Loads view from FXML file, binds presenter and view, initializes presenter.
- loadView() - Method in class com.iha.emulator.ui.simulations.chooser.ChooserPresenter
- loadView() - Method in class com.iha.emulator.ui.simulations.detailed.DetailedSimulationPresenter
-
- loadView() - Method in class com.iha.emulator.ui.simulations.performance.PerformanceSimulationPresenter
-
- localDateTimeTextField - Variable in class com.iha.emulator.utilities.watchers.QueueWatcher
-
GUI component for showing start time
- log - Variable in class com.iha.emulator.control.AdapterController
-
logger
- log - Variable in class com.iha.emulator.control.task.SimulationTask
-
logger for task
- log(String) - Method in class com.iha.emulator.utilities.logging.AdapterLogger
-
Write message to buffer file and "Adapter's Log" GUI component.
- logArea - Variable in class com.iha.emulator.utilities.MaxThreadTester
-
GUI component for notifying user of results
- logger - Static variable in class com.iha.emulator.communication.eserver.EmulatorServerClient
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.communication.eserver.task.AbstractServerTask
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.communication.protocol.AbstractProtocol
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.communication.server.ServerController
-
Deprecated.
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.communication.server.ServerReceiver
-
Deprecated.
- logger - Static variable in class com.iha.emulator.communication.server.ssl.ServerController
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.communication.server.ssl.ServerReceiver
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.AdapterController
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.scheduler.implemented.DetailedScheduler
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.scheduler.implemented.PerformanceScheduler
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.SensorController
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.task.SimulationTask
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.task.StopCondition
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.control.task.ValueParameters
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.models.value.AbstractValue
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.models.value.ValueFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.AddAdapterDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.AddAdapterDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.ChangeAdapterDetailsDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.ChangeAdapterDetailsDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.DeleteAdaptersDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.DeleteAdaptersDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.ShowAdaptersDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.adapter.ShowAdaptersDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.AddNewSensorDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.DeleteSensorsDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.DeleteSensorsDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.SensorDetailsDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.sensor.SensorDetailsDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.server.ChangeServerDetailsDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.server.ChangeServerDetailsDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.task.AddNewTaskDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.task.AddNewTaskDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.task.DeleteTasksDialogPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.task.DeleteTasksDialogView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.thread.ThreadTesterPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.dialogs.thread.ThreadTesterView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.adapter.details.AdapterDetailsPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.adapter.details.AdapterDetailsView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.chart.ResponseChart
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.sensor.SensorPanelPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.sensor.SensorPanelView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.sensor.SensorValueCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.server.details.ServerDetailsPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.server.details.ServerDetailsView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.cell.SimulationTaskEnabledCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.cell.SimulationTaskIdCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.cell.SimulationTaskServerCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.cell.SimulationTaskStateCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.cell.SimulationTaskStopCellFactory
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.details.TaskDetailsPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.panels.task.details.TaskDetailsView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.chooser.ChooserPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.chooser.ChooserView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.detailed.DetailedSimulationPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.detailed.DetailedSimulationView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.performance.PerformanceSimulationPresenter
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.ui.simulations.performance.PerformanceSimulationView
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.utilities.logging.AdapterLogger
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.utilities.logging.TextAreaAppender
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.utilities.Utilities
-
Log4j2 logger field
- logger - Static variable in class com.iha.emulator.utilities.watchers.QueueWatcher
-
Log4j2 logger field
- logMessage - Variable in class com.iha.emulator.communication.server.OutMessage
-
message to be written to log
- logMessage(String) - Method in class com.iha.emulator.control.task.SimulationTask
-
Write message to task's log
- logMessageTypeRadBtnGroup - Variable in class com.iha.emulator.ui.simulations.detailed.DetailedSimulationView
-
- logMessageTypeRadBtnGroup - Variable in class com.iha.emulator.ui.simulations.performance.PerformanceSimulationView
-
- logSentMessagesCount(BufferedWriter) - Method in class com.iha.emulator.utilities.logging.AdapterLogger
-
Write unsent messages count to buffer file
- logTabPane - Variable in class com.iha.emulator.ui.simulations.detailed.DetailedSimulationView
-
- logTabPane - Variable in class com.iha.emulator.ui.simulations.performance.PerformanceSimulationView
-
- lowerBound - Variable in class com.iha.emulator.ui.panels.chart.DateAxis
-
- lowerBoundProperty() - Method in class com.iha.emulator.ui.panels.chart.DateAxis
-
Gets the lower bound of the axis.


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The Tiny Book of Tiny Stories
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The Tiny Book of Tiny Stories
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hitRECorderly Issue #1 Little Red Riding Hood Redux
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The Tiny Book of Tiny Stories
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hitRECorderly Issue #1 Little Red Riding Hood Redux
$15
The Tiny Book of Tiny Stories
$15
The Tiny Book of Tiny Stories
$15
The Animals, Men’s Crew Neck T-Shirt
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hitRECorderly Issue #1 Little Red Riding Hood Redux
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The Tiny Book of Tiny Stories
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The Animals, Men’s Crew Neck T-Shirt
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Education
Relevant Coursework: Probabilistic Artificial Intelligence, Computational Photography, Unsupervised Learning, Virtual Reality Technology, Structured Prediction for NLP, Sampling and Reconstruction of Visual Appearance: From Denoising to View Synthesis, Deep Generative Models.
Relevant Courses: Artificial Intelligence, Machine Learning, Data Warehousing and Data Mining, Data Structures and Algorithms, Natural Language Processing
Experience
Developed a training free 3D face editing method for Generative NeRFs & obtained realistic 3D face edits for eyeglasses & age. Rendered dataset of 10K+ 3D faces from 2D images. Developed large-scale distributed ML training pipelines of upto 256 GPUs.
Investigated CRTF based sub-surface scattering in NeRFs for translucent objects with 10% improvement in novel view synthesis. Working on inverse rendering algorithms for physics-based face relighting with sub-surface scattering effects from 2D images.
Led development of TEGLO: a novel Generative NeRF for 3D reconstruction from single view images obtaining ≥74 db PSNR (≥200% improvement) over state of the art preserving fine details at megapixel resolutions [Under Review].
Simplified feature modifications in VW by implementing a reduction for data modification functions to register on the stack. Enabled on-the-fly feature manipulations for contextual bandit learning without requiring re-deploying the source.
Obtained ≥12% improvement over state-of-the-art in few-shot domain adaptation for RAW image enhancement in low light conditions for DSLR & smartphone cameras with new benchmark data [BMVC 2021, Best Student Paper Runner Up] Led the development of a self-supervised image translation method to translate daylight scenes to rain/fog/night and enabled a 5% improvement in image segmentation performance for self-driving cars in adverse weather [ICCV 2021, ILDAV]
Implemented state-of-the-art ML models for TensorFlow mentored by Jaeyoun Kim, Hongkun Yu and Yanhui Liang from Google Brain.Led the development of FineGAN, a fine-grained image generation method with hierarchical disentanglement using TensorFlow. Investigated SIREN with implicit representation networks and evaluated the expressivity of Batchnorm for deep networks.
Implemented StackGAN: text-to-image Generative Adversarial Network (GAN) with two-stage image super-resolution using TF2. TF Model Garden: Built StackGAN, Mask R-CNN, Conditional VAE, and Face Aging with CycleGANs from the research papers.
Worked on "RainRoof: Automated Shared Rainwater Harvesting Prediction" under the guidance of Dr. Savita Choudhary (Springer LNDECT). Also worked on "Forecasting Dengue and Studying its Plausible Pandemy" under the guidance of Prof. Savita Choudhary (Elsevier). Worked on "Predicting the Network Structure using Harmonic Centrality Values in AODV Routing for Wireless Sensor Networks" under the guidance of Dr. Pallavi Venkatesh and Dr. Banu Prakash (SSN IJSTR 2019).
Publications
-
TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images.
Vishal Vinod, Tanmay Shah, Dmitry Lagun
ArXiv 2023
Paper Website -
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
K. Ram Prabhakar, Vishal Vinod, Nihar Sahoo, R. Venkatesh Babu, Anirban Chakraborty
32nd British Machine Vision Conference (BMVC 2021)
[Best Student Paper Award - Runner-Up] -
Multi-Domain Conditional Image Translation: Translating
Driving Datasets from Clear-Weather to Adverse Conditions
Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty
IEEE/CVF International conference on Computer Vision (ICCV 2021) Workshop -
Estimating Leaf Water Content using Remotely Sensed
UAV-captured Hyperspectral Data
Vishal Vinod, Rahul Raj, Rohit Pingale, Adinarayana Jagarlapudi
IEEE/CVF International conference on Computer Vision (ICCV 2021) Workshop -
Leaf Water Content Estimation using Top-of-Canopy
Airborne Hyperspectral Data
Rahul Raj, Jeffrey Walker, Vishal Vinod, Rohit Pingale, Balaji Naik, Adinarayana Jagarlapudi
International Journal of Applied Earth Observation and Geoinformation (JAG) -
Mining Intelligent Patterns using SVAC for Precision
Agriculture and Optimizing Irrigation (SA)
Vishal Vinod, Vipul Gaurav, Tushar Sharma, Savita Choudhary
AAAI Conference on Artificial Intelligence (AAAI 2021) -
Towards Efficient Computer Vision Models for Challenging
Scenarios in Urban Mobility
Vishal Vinod, Savita Choudhary
AAAI Conference on Artificial Intelligence (AAAI 2021), UM Workshop -
RainRoof: Automated Shared Rainwater Harvesting
Prediction
Vishal Vinod*, Vipul Gaurav*, Tushar Sharma, Sanyam Singh, Savita Choudhary
Springer Lecture Notes in Data Engineering and Communication Technologies -
Predicting Harmonic Centrality in AODV Routing for
Wireless Sensor Networks.
Pallavi R, Vishal Vinod, Tushar Sharma, G C Bhanu Prakash
International Journal of Scientific and Technological Research
Select Projects
- Implemented the 3-Stage FineGAN Architecture with a stage each for Background, Foreground Outline and Foreground Mask generation.
- This includes the Background scene detector to detect background only patches for the auxiliary discriminator trained on CUB200.
- Language agnostic translation with BioBERT question-answer heads training the embedding layers and generative pre-training. Used GPT-2 for generative pre-training for natural language answer generation for medical queries followed by translation.
- Results from the NLG architecture for health intelligence is under review at the AAAI 2021.
- Model created from the paper to train StackGAN on the CUB 200 dataset for birds. Includes the 2 stages in the model. Stage 1 takes the latent space and a conditioning vector as input to generate 64x64 resolution images. (With Char-RNN-CNN).
- The Stage 2 generates 256x256 resolution images from Stage 1 images.
AI Summer School
EEML summer school is focused on core topics regarding machine learning and artificial intelligence. The summer school includes both lectures and practical sessions (labs) to improve the theoretical and practical understanding of these topics. The school is aimed at graduate students. Participated in the Continual Learning track.
AI School to investigate and comprehend the limitations of the machine learning models and make them more fair, transparent and accountable. This school addresses some fundamental and pressing topics in fairness, accountability and transparency in AI.
Topics covered in the summer school broadly include comprehensive sessions on Machine Learning, AI, Knowledge Graphs, NLP, Game Theory, Discrete Mathematics, Linear Algebra, and Advanced Databases. Interactions with the professors was very engaging.


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This type of network topology is based on a hierarchy of nodes. The highest level of any tree network consists of a single node, the “ root” that connects nodes (a fixed number referred to as the “branching factor” 8 of the tree) in the level below by point-to-point links. These lower level nodes are also connected to nodes in the next level down. Tree networks are not constrained to any number of levels, but as tree networks are a variant of the bus network topology, they are prone to crippling network failures should a connection in a higher level of nodes fail/suffer damage. This topology exhibits good scalability and thanks to the different levels makes fault identification and isolation easier but the maintenance may be an issue when the network spans a great area.


---
layout: default
title: Shravya Gorur Sheshadri
---
I am a Graduate student in University of Southern California, majoring in Computer Science. My passion lies in Data Science, Machine Learning and its applications.
My work as a Research Intern at Information Sciences Institute, USC under Professor Yolanda Gil and Post-Doctoral researcher Daniel Garijo on ‘Data narratives’, a Semantic Web project, provided me a good research experience.
As part of my academic studies I have researched on many Machine Learning techniques and created a custom library of implementations of many relevant algorithms like Neural Networks, Support Vector Machines, Decision Trees, Logistic Regression, Clustering techniques. I have also worked on projects related to Recommendation System and Sentiment Analysis.
I have worked as a Full-Stack Software Developer at Intuit India, owning complete user interface module and major business layer components . I Interned at Intuit, Mountain View, California where I was introduced to the world of recommendation system with an enterprise level solution.
With a desire to solve real world data problems, I have worked on several independent projects. Most notable of them include an application of Natural Language Processing into Census Nomenclature, Number Transition and Morphology. I have also developed an Artificially Intelligent agent to play Fruit Rage game.


| 1 |
Zhang_2020 |
Clinical Characteristics of 34 Children with Coronavirus Disease-2019 in the West of China: a Multiple-center Case Series |
Che Zhang; Jiaowei Gu; Quanjing Chen; Na Deng; Jingfeng Li; Li Huang; Xihui Zhou |
2020 |
2020-03-16 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>34686 |
awgyxn3t |
0.787273 |
|
|
| 2 |
Miao_2020 |
A comparative multi-centre study on the clinical and imaging features of comfirmed and uncomfirmed patients with COVID-19 |
Congliang Miao; Jinqiang Zhuang; Mengdi Jin; Huanwen Xiong; Peng Huang; Qi Zhao; Li Miao; Jiang Du; Xinying Yang; Peijie Huang; Jiang Hong |
2020 |
2020-03-24 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>40782 |
j8odxs1h |
0.745773 |
Tumer_1987 |
Wang_2020 |
| 3 |
Liu_H_2020 |
Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children |
Liu, Huanhuan; Liu, Fang; Li, Jinning; Zhang, Tingting; Wang, Dengbin; Lan, Weishun |
2020 |
2020-05-31 |
PMC |
Y |
PMC7156118 |
32171865.0 |
10.1016/j.jinf.2020.03.007 |
8onalzk8 |
0.676808 |
|
Xia_W_2020 |
| 4 |
Xia_W_2020 |
Clinical and CT features in pediatric patients with COVID‐19 infection: Different points from adults |
Xia, Wei; Shao, Jianbo; Guo, Yu; Peng, Xuehua; Li, Zhen; Hu, Daoyu |
2020 |
2020-03-05 |
PMC |
Y |
PMC7168071 |
32134205.0 |
10.1002/ppul.24718 |
dn9nlcgs |
0.638494 |
|
|
| 5 |
Lei_Y_2020 |
Clinical features of imported cases of coronavirus disease 2019 in Tibetan patients in the Plateau area |
Yu Lei; yunping lan; jianli lu; xiaobo huang; bamu silang; fan zeng |
2020 |
2020-03-13 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>33126 |
289fu2yb |
0.629579 |
Shah_2017 |
Zhang_2020 |
| 6 |
Zhou_2020 |
Clinical features and outcomes of 197 adult discharged patients with COIVD-19 in Yichang, Hubei |
Fating Zhou; Xiaogang Yu; Xiaowei Tong; Rong Zhang |
2020 |
2020-03-30 |
BioRxiv |
N |
|
|
10.1101/2<IP_ADDRESS>41426 |
xectb16w |
0.581227 |
Shah_2017 |
Ning_2018, Jung_2015 |
| 7 |
Gao_L_2020 |
Pulmonary High-Resolution Computed Tomography (HRCT) Findings of Patients with Early-Stage Coronavirus Disease 2019 (COVID-19) in Hangzhou, China |
Gao, Lulu; Zhang, Jianjun |
2020 |
2020-04-04 |
NONCOMM |
Y |
PMC7156878 |
32246819.0 |
10.12659/msm.923885 |
roqikd70 |
0.576574 |
|
|
| 8 |
Heydari_2020 |
Clinical and Paraclinical Characteristics of COVID-19 patients: A systematic review and meta-analysis |
Keyvan Heydari; Sahar Rismantab; Amir Shamshirian; Parisa Lotfi; Nima Shadmehri; Pouya Houshmand; Mohammad Zahedi; Danial Shamshirian; Sahar Bathaeian; Reza Alizadeh-Navaei |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>44057 |
arhqix9h |
0.574022 |
|
Zhang_2020 |
| 9 |
Shi_H_2020 |
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study |
Shi, Heshui; Han, Xiaoyu; Jiang, Nanchuan; Cao, Yukun; Alwalid, Osamah; Gu, Jin; Fan, Yanqing; Zheng, Chuansheng |
2020 |
2020-02-24 |
PMC |
Y |
|
|
10.1016/s1473-3099(20)30086-4 |
ghi0ekm5 |
0.564279 |
|
Jung_2015 |
| 10 |
Tumer_1987 |
Pneumonia in pediatric outpatients: Cause and clinical manifestations |
Tumer, Ronald B.; Lande, Arthur E.; Chase, Patricia; Hilton, Nancy; Weinberg, Diana |
1987 |
1987-08-31 |
PMC |
N |
PMC7131735 |
3612389.0 |
10.1016/s0022-3476(87)80066-5 |
fu71ymhb |
0.556843 |
Jordan-Villegas_2010 |
Poh_K_2019, Ushiki_2014 |
| 11 |
Vaseghi_2020 |
Clinical characterization and chest CT findings in laboratory-confirmed COVID-19: a systematic review and meta-analysis |
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2020 |
2020-03-08 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>31518 |
7wtsw1cf |
0.556120 |
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Heydari_2020, Miao_2020, Wang_2020 |
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Yoo_H_2018 |
Comparison of conservative therapy and steroid therapy for Bell’s palsy in children |
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2018 |
2018-09-12 |
NONCOMM |
N |
PMC6212712 |
30304913.0 |
10.3345/kjp.2018.06380 |
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0.555441 |
Choi_2015 |
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Muller_2006 |
Early diagnosis of SARS: lessons from the Toronto SARS outbreak |
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2006 |
2006-04-04 |
PMC |
N |
PMC7087683 |
16586072.0 |
10.1007/s10096-006-0127-x |
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Changes in clinical and laboratory features of Kawasaki disease noted over time in Daejeon, Korea |
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2017 |
2017-08-07 |
COMM-USE |
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PMC5545846 |
28784161.0 |
10.1186/s12969-017-0192-y |
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Falcini_2007 |
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Yu_J_2020 |
Characteristics of Endodontic Emergencies during COVID-19 Outbreak in Wuhan |
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2020 |
2020-04-10 |
PMC |
Y |
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10.1016/j.joen.2020.04.001 |
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0.550872 |
Shah_2017 |
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The different clinical characteristics of corona virus disease cases between children and their families in China – the character of children with COVID-19 |
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2020 |
2020-03-25 |
COMM-USE |
Y |
PMC7103724 |
32208917.0 |
10.1080/22221751.2020.1744483 |
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Using the Electronic Medical Record to Correlate Kawasaki Disease Phenotypes With Clinical Outcomes |
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2017 |
2017-04-05 |
PMC |
N |
PMC7107491 |
28383697.0 |
10.1093/jpids/pix016 |
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0.504487 |
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Gupta-Malhotra_2005, Fernández-Cooke_2019, Falcini_2007 |
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Previous or coincident infections with suspected Kawasaki disease. Should we change our approach? |
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2019 |
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PMC |
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PMC7146762 |
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10.1016/j.anpede.2018.06.011 |
xv2n26db |
0.499983 |
Jordan-Villegas_2010 |
Falcini_2007, Jung_2015 |
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Ji_W_2020 |
Comparison of severe and non-severe COVID-19 pneumonia: review and meta-analysis |
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2020 |
2020-03-09 |
BioRxiv |
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10.1101/2<IP_ADDRESS>30965 |
rscduazd |
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Vu_H_2004 |
Heydari_2020, Jung_2015 |
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Campillo-Soto_2005 |
Spontaneous Pneumomediastinum: Descriptive Study of Our Experience With 36 Cases |
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2005 |
2005-09-30 |
PMC |
N |
PMC7129626 |
16194517.0 |
10.1016/s1579-2129(06)60274-7 |
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0.486002 |
Shah_2017 |
Ning_2018, Jung_2015 |
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Review article: gastrointestinal features in COVID‐19 and the possibility of faecal transmission |
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2020 |
2020-03-31 |
PMC |
N |
PMC7161803 |
32222988.0 |
10.1111/apt.15731 |
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Choi_2015 |
Relationship between the Clinical Characteristics and Intervention Scores of Infants with Apparent Life-threatening Events |
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2015-05-13 |
NONCOMM |
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PMC4444478 |
26028930.0 |
10.3346/jkms.2<IP_ADDRESS>3 |
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Hermida_Pérez_2010, Ning_2018, Kuza_2016 |
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Acute exacerbation of interstitial pneumonia associated with collagen vascular diseases |
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2009 |
2009-06-30 |
PMC |
N |
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19181509.0 |
10.1016/j.rmed.2008.12.019 |
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0.460373 |
Ushiki_2014 |
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Karimata_2018 |
Clinical Features of Human Metapneumovirus Pneumonia in Non-Immunocompromised Patients: An Investigation of Three Long-Term Care Facility Outbreaks |
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2018 |
2018-09-15 |
PMC |
N |
PMC7107412 |
29733351.0 |
10.1093/infdis/jiy261 |
bcxkycjh |
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Jung_2015 |
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Clinical analysis of 23 cases of steroid-associated osteonecrosis of the femoral head with normal initial magnetic resonance imaging presentation |
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2017 |
2017-12-08 |
COMM-USE |
N |
PMC5728861 |
29245246.0 |
10.1097/md.0000000000008834 |
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0.454640 |
Shah_2017, Pautrat_2020, Claudi_2020, Gerritsen_2017 |
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Clinical Manifestations Vary with Different Age Spectrums in Infants with Kawasaki Disease |
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2012 |
2012-02-15 |
COMM-USE |
N |
PMC3289979 |
22454602.0 |
10.1100/2012/210382 |
mynsxblo |
0.446563 |
Jordan-Villegas_2010 |
Falcini_2007, Gupta-Malhotra_2005 |
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Souza_2020 |
Clinical Manifestations of Children with COVID-19: a Systematic Review |
Tiago Henrique de Souza; Jose Antonio Nadal; Roberto Jose Negrao Nogueira; Ricardo Mendes Pereira; Marcelo Barciela Brandao |
2020 |
2020-04-03 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>49833 |
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Chest Computed Tomography for the Diagnosis of Patients with Coronavirus Disease 2019 (COVID-19): A Rapid Review and Meta-Analysis |
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2020 |
2020-04-17 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>64733 |
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Li_A_2004 |
Radiological and pulmonary function outcomes of children with SARS |
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2004 |
2004-10-28 |
PMC |
N |
PMC7167621 |
15514972.0 |
10.1002/ppul.20078 |
qsck3tlu |
0.430805 |
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Xing_2015 |
Thin-section Computed Tomography Detects Long-term Pulmonary Sequelae 3 Years after Novel Influenza A Virus-associated Pneumonia |
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2015 |
2015-04-05 |
NONCOMM |
N |
PMC4834006 |
25836610.0 |
10.4103/0366-6999.154285 |
bxxsmftw |
0.425284 |
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Jung_2015, Wang_2019, Matsuoka_2006, Kim_I_2016 |
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Chang_2020 |
Clinical characteristics and diagnostic challenges of pediatric COVID-19: A systematic review and meta-analysis |
Chang, Tu-Hsuan; Wu, Jhong-Lin; Chang, Luan-Yin |
2020 |
2020-04-16 |
PMC |
Y |
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10.1016/j.jfma.2020.04.007 |
xwlzq3m3 |
0.423990 |
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Chang_2005 |
Comparative study of patients with and without SARS WHO fulfilled the WHO SARS case definition |
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2005 |
2005-05-31 |
PMC |
N |
PMC7135563 |
15837019.0 |
10.1016/j.jemermed.2004.11.022 |
xoiju5ub |
0.422056 |
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Babyn_2003 |
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Qi_S_2020 |
Computed Tomography Findings and Short-term follow-up with Novel Coronavirus Pneumonia |
Shi Qi; Hui Guo; Hua Shao; Siqin Lan; Yuanlin He; Maijudan Tiheiran; Hongjun Li |
2020 |
2020-04-04 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>42614 |
bbwz0sso |
0.421176 |
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Xu_Y_2020 |
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Hsu_H_2004 |
Correlation of High-Resolution CT, Symptoms, and Pulmonary Function in Patients During Recovery From Severe Acute Respiratory Syndrome |
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2004 |
2004-07-31 |
PMC |
N |
PMC7094423 |
15249456.0 |
10.1378/chest.126.1.149 |
fv001z45 |
0.417244 |
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Kim_G_2016 |
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Xu_H_2020 |
Evaluation of the clinical characteristics of suspected or confirmed cases of COVID-19 during home care with isolation: A new retrospective analysis based on O2O |
Hui Xu; Sufang Huang; Shangkun Liu; Juan Deng; Bo Jiao; Ling Ai; Yaru Xiao; Li Yan; Shusheng Li |
2020 |
2020-02-29 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>28084 |
011k6mm0 |
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Tang_2020 |
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Zhang_2020 |
Gastrointestinal tract symptoms in coronavirus disease 2019: Analysis of clinical symptoms in adult patients |
Yong Zhang |
2020 |
2020-03-27 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>40279 |
bu2w2ox6 |
0.413971 |
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Cha_M_2016 |
Clinical Features and Radiological Findings of Adenovirus Pneumonia Associated with Progression to Acute Respiratory Distress Syndrome: A Single Center Study in 19 Adult Patients |
Cha, Min Jae; Chung, Myung Jin; Lee, Kyung Soo; Kim, Tae Jung; Kim, Tae Sung; Chong, Semin; Han, Jungho |
2016 |
2016-10-31 |
NONCOMM |
N |
PMC5102922 |
27833410.0 |
10.3348/kjr.2<IP_ADDRESS>0 |
5dfhyz31 |
0.407760 |
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Jung_2015, Hermida_Pérez_2010, Kasupski_1983, Wang_2019 |
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Huang_2020 |
The respiratory sound features of COVID-19 patients fill gaps between clinical data and screening methods |
Ying hui Huang; Si jun Meng; Yi Zhang; Shui sheng Wu; Yu Zhang; Ya wei Zhang; Yi xiang Ye; Qi feng Wei; Nian gui Zhao; Jian ping Jiang; Xiao ying Ji; Chun xia Zhou; Chao Zheng; Wen Zhang; Li zhong Xie; Yong chao Hu; Jian quan He; Jian Chen; Wang yue Wang; Chang hua Zhang; Liming Cao; Wen Xu; Yunhong Lei; Zheng hua Jian; Wei ping Hu; Wen juan Qin; Wan yu Wang; Yu long He; Hang Xiao; Xiao fang Zheng; Yi Qun Hu; Wen Sheng Pan; Jian feng Cai |
2020 |
2020-04-10 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>51060 |
8bmcd22v |
0.402788 |
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Kui_L_2020 |
Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province |
Kui, Liu; Fang, Yuan-Yuan; Deng, Yan; Liu, Wei; Wang, Mei-Fang; Ma, Jing-Ping; Xiao, Wei; Wang, Ying-Nan; Zhong, Min-Hua; Li, Cheng-Hong; Li, Guang-Cai; Liu, Hui-Guo |
2020 |
2020-01-01 |
None |
Y |
PMC7147277 |
32044814.0 |
10.1097/cm9.0000000000000744 |
tj21zcod |
0.402612 |
Shah_2017 |
Lei_Y_2020 |
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Seo_H_2018 |
Relationship Between Clinical Features and Computed Tomographic Findings in Hospitalized Adult Patients With Community-Acquired Pneumonia |
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2018 |
2018-07-31 |
PMC |
N |
PMC7093861 |
30049328.0 |
10.1016/j.amjms.2018.03.024 |
1528f0f0 |
0.400189 |
Restrepo_2010, Upchurch_2018, Ushiki_2014 |
Jung_2015, Kim_G_2016, Zhao_2020, Upchurch_2018 |
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Babyn_2003 |
Severe acute respiratory syndrome (SARS): chest radiographic features in children |
Babyn, Paul S.; Chu, Winnie C. W.; Tsou, Ian Y. Y.; Wansaicheong, Gervais K. L.; Allen, Upton; Bitnun, Ari; Chee, Thomas S. G.; Cheng, Frankie W. T.; Chiu, Man-Chun; Fok, Tai-Fai; Hon, Ellis K. L.; Gahunia, Harpal K.; Kaw, Gregory J. L.; Khong, Pek L.; Leung, Chi-Wai; Li, Albert M.; Manson, David; Metreweli, Constantine; Ng, Pak-Cheung; Read, Stanley; Stringer, David A. |
2003 |
2003-11-18 |
PMC |
N |
PMC7080132 |
14624321.0 |
10.1007/s00247-003-1081-8 |
17cz3agx |
0.395670 |
Shah_2017, Vu_H_2004 |
Kim_G_2016, Jung_2015, Hermida_Pérez_2010, Tsou_2003 |
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Cha_T_2018 |
Respiratory syncytial virus-associated seizures in Korean children, 2011–2016 |
Cha, Teahyen; Choi, Young Jin; Oh, Jae-Won; Kim, Chang-Ryul; Park, Dong Woo; Seol, In Joon; Moon, Jin-Hwa |
2018 |
2018-10-23 |
NONCOMM |
N |
PMC6477548 |
30360041.0 |
10.3345/kjp.2018.07066 |
t091j5le |
0.391247 |
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Xu_Y_2020 |
Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2 |
Xu, Yu-Huan; Dong, Jing-Hui; An, Wei-Min; Lv, Xiao-Yan; Yin, Xiao-Ping; Zhang, Jian-Zeng; Dong, Li; Ma, Xi; Zhang, Hong-Jie; Gao, Bu-Lang |
2020 |
2020-02-25 |
PMC |
Y |
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10.1016/j.jinf.2020.02.017 |
gbx48scp |
0.388230 |
Li_P_2011, Gerritsen_2017 |
Zhu_Y_2020, Liu_K_2020 |
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Zhu_Y_2020 |
Clinical and CT imaging features of 2019 novel coronavirus disease (COVID-19) |
Zhu, Ying; Liu, Yang-Li; Li, Zi-Ping; Kuang, Jian-Yi; Li, Xiang-Min; Yang, You-You; Feng, Shi-Ting |
2020 |
2020-03-03 |
PMC |
Y |
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10.1016/j.jinf.2020.02.022 |
0wbu1yap |
0.381818 |
Jordan-Villegas_2010 |
Xu_Y_2020 |
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Yeh_J_2019 |
Predictors of Initial Smear-Negative Active Pulmonary Tuberculosis with Acute Early Stage Lung Injury by High-Resolution Computed Tomography and Clinical Manifestations: An Auxiliary Model in Critical Patients |
Yeh, Jun-Jun |
2019 |
2019-03-14 |
COMM-USE |
N |
PMC6418143 |
30872774.0 |
10.1038/s41598-019-40799-w |
7wcbkxti |
0.380245 |
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Jung_2015, Yeh_J_2012, Gomatou_2018 |
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Gonçalves_2009 |
Clinical and magnetic resonance imaging findings in 92 cats with clinical signs of spinal cord disease |
Gonçalves, Rita; Platt, Simon R.; Llabrés-Díaz, Francisco J.; Rogers, Katherine H.; de Stefani, Alberta; Matiasek, Lara A.; Adams, Vicki J. |
2009 |
2009-02-28 |
PMC |
N |
PMC7130086 |
18602328.0 |
10.1016/j.jfms.2008.05.001 |
1ymem23q |
0.379629 |
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Negrin_2007, Crawford_2017, Lee_Y_2011 |
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Meng_2020 |
CT imaging and clinical course of asymptomatic cases with COVID-19 pneumonia at admission in Wuhan, China |
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2020 |
2020-04-12 |
PMC |
Y |
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10.1016/j.jinf.2020.04.004 |
zbzrxuoh |
0.378580 |
Upchurch_2018 |
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Kim_G_2016 |
Clinical predictors of chest radiographic abnormalities in young children hospitalized with bronchiolitis: a single center study |
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2016 |
2016-12-31 |
NONCOMM |
N |
PMC5300911 |
28194212.0 |
10.3345/kjp.2<IP_ADDRESS>1 |
mtnfr1vo |
0.375989 |
Washington_2009, Shah_2017 |
Jung_2015, Hermida_Pérez_2010, Wang_2019 |
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Sun_W_2016 |
The pathogenesis of multifocal osteonecrosis |
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2016 |
2016-07-11 |
COMM-USE |
N |
PMC4941719 |
27404962.0 |
10.1038/srep29576 |
j5gpww9q |
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McLeod_2017 |
Thieme_2019, Ning_2018 |
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Black_2018 |
Pyrexia in juvenile dogs: a review of 140 referred cases |
Black, V. L.; Whitworth, F. J. S.; Adamantos, S. |
2018 |
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PMC |
N |
PMC7167160 |
30284718.0 |
10.1111/jsap.12938 |
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Wu_J_2020 |
Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Features |
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2020 |
2020-02-21 |
None |
Y |
PMC7147284 |
32091414.0 |
10.1097/rli.0000000000000670 |
ngm3sj1n |
0.373558 |
Gerritsen_2017 |
Wang_2020, Zhao_2020 |
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Imaging manifestations and diagnostic value of chest CT of coronavirus disease 2019 (COVID-19) in the Xiaogan area |
Wang, K.; Kang, S.; Tian, R.; Zhang, X.; Zhang, X.; Wang, Y. |
2020 |
2020-05-31 |
PMC |
Y |
PMC7118637 |
32216961.0 |
10.1016/j.crad.2020.03.004 |
5skk3nj4 |
0.371495 |
Gerritsen_2017, Bux_S_2010, Upchurch_2018 |
Zhao_2020, Yoon_2020 |
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A retrospective study of the clinical characteristics of COVID-19 infection in 26 children |
Anjue Tang; Wenhui Xu; min shen; Peifen Chen; Guobao Li; Yingxia Liu; Lei Liu |
2020 |
2020-03-10 |
BioRxiv |
Y |
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10.1101/2<IP_ADDRESS>29710 |
txyf05n4 |
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Long_2020 |
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT? |
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2020 |
2020-05-31 |
PMC |
Y |
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10.1016/j.ejrad.2020.108961 |
chln5r8w |
0.369541 |
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Li_X_2020 |
CT imaging changes of corona virus disease 2019(COVID-19): a multi-center study in Southwest China |
Li, Xiaoming; Zeng, Wenbing; Li, Xiang; Chen, Haonan; Shi, Linping; Li, Xinghui; Xiang, Hongnian; Cao, Yang; Chen, Hui; Liu, Chen; Wang, Jian |
2020 |
2020-04-06 |
COMM-USE |
Y |
PMC7132551 |
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10.1186/s12967-020-02324-w |
2plhw60a |
0.362953 |
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Wang_2020 |
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Yun_T_2010 |
Radiological and Clinical Characteristics of a Military Outbreak of Pandemic H1N1 2009 Influenza Virus Infection |
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2010 |
2010-06-21 |
NONCOMM |
N |
PMC2893312 |
20592925.0 |
10.3348/kjr.2<IP_ADDRESS>7 |
9fr0m92p |
0.356971 |
Shah_2017, Srikantiah_2005 |
Jung_2015, Karimata_2018 |
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Chen_2020 |
High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages |
Chen, Zuhua; Fan, Hongjie; Cai, Jian; Li, Yunjiang; Wu, Baoliang; Hou, Yanchun; Xu, Shufeng; Zhou, Fei; Liu, Yongguang; Xuan, Weiling; Hu, Hongjie; Sun, Jihong |
2020 |
2020-05-31 |
PMC |
Y |
|
|
10.1016/j.ejrad.2020.108972 |
bq06bepv |
0.351498 |
Shah_2017 |
Dai_H_2020, Jung_2015, Miao_2020 |
| 58 |
Lomoro_2020 |
COVID-19 pneumonia manifestations at the admission on chest ultrasound, radiographs, and CT: single-center study and comprehensive radiologic literature review |
Lomoro, Pascal; Verde, Francesco; Zerboni, Filippo; Simonetti, Igino; Borghi, Claudia; Fachinetti, Camilla; Natalizi, Anna; Martegani, Alberto |
2020 |
2020-12-31 |
PMC |
Y |
PMC7129441 |
|
10.1016/j.ejro.2020.100231 |
kw8cg1uh |
0.351445 |
Bux_S_2010, Upchurch_2018, Guan_2020 |
Upchurch_2018, Miao_2020, Yoon_2020, Wang_2020 |
| 59 |
Chen_2004 |
Sequential symptomatic analysis in probable severe acute respiratory syndrome cases |
Chen, Shey-Ying; Chiang, Wen-Chu; Ma, Matthew Huei-Ming; Su, Chan-Ping; Hsu, Chiung-Yuan; Chow-In Ko, Patrick; Tsai, Kuang-Chau; Yen, Zui-Shen; Shih, Fuh-Yuan; Chen, Shyr-Chyr; Lin, Shou-Ju; Wang, Jiun-Ling; Chang, Shan-Chwen; Chen, Wen-Jone |
2004 |
2004-01-31 |
PMC |
N |
PMC7124244 |
14707937.0 |
10.1016/j.annemergmed.2003.10.010 |
0ubbqima |
0.351317 |
Shah_2017 |
Hermida_Pérez_2010, Lee_Y_2017 |
| 60 |
Chen_2020 |
Ocular manifestations and clinical characteristics of 534 cases of COVID-19 in China: A cross-sectional study |
Liwen Chen; Chaohua Deng; Xuhui Chen; Xian Zhang; Bo Chen; Huimin Yu; Yuanjun Qin; Ke Xiao; Hong Zhang; Xufang Sun |
2020 |
2020-03-16 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>34678 |
5zrywg58 |
0.350577 |
Shah_2017 |
|
| 61 |
Yang_2020 |
Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features |
Zhiqi Yang; Daiying Lin; Xiaofeng Chen; Jinming Qiu; Shengkai Li; Ruibin Huang; Hongfu Sun; Yuting Liao; Jianning Xiao; Yanyan Tang; Guorui Liu; Renhua Wu; Xiangguang Chen; Zhuozhi Dai |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>61242 |
ggwh91cc |
0.346879 |
Gerritsen_2017 |
|
| 62 |
He_J_2020 |
Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China |
He, Jian-Long; Luo, Lin; Luo, Zhen-Dong; Lyu, Jian-Xun; Ng, Ming-Yen; Shen, Xin-Ping; Wen, Zhibo |
2020 |
2020-04-21 |
PMC |
Y |
|
|
10.1016/j.rmed.2020.105980 |
9fa9nta0 |
0.344347 |
Gerritsen_2017 |
|
| 63 |
Schattner_2013 |
Campylobacter Jejuni and Cytopenias |
Schattner, Ami |
2013 |
2013-11-30 |
PMC |
N |
PMC7093866 |
24034076.0 |
10.1016/j.amjmed.2013.07.003 |
no7tr52y |
0.343616 |
Gökçe_2017 |
Newton_2018, Hooijberg_2010, Jung_2015 |
| 64 |
Xie_L_2005 |
Follow-up Study on Pulmonary Function and Lung Radiographic Changes in Rehabilitating Severe Acute Respiratory Syndrome Patients After Discharge |
Xie, Lixin; Liu, Youning; Xiao, Yueyong; Tian, Qing; Fan, Baoxing; Zhao, Hong; Chen, Weijun |
2005 |
2005-06-30 |
PMC |
N |
PMC7094359 |
15947329.0 |
10.1378/chest.127.6.2119 |
bv1eaj5b |
0.342820 |
|
Xie_L_2005, Jung_2015, Kim_G_2016 |
| 65 |
Khatib_2019 |
Severe Community-Acquired Pneumonia |
Khatib, Khalid; Dixit, Subhal; Chawla, Rajesh; Todi, Subhash |
2019 |
2019-09-28 |
PMC |
N |
PMC7122706 |
|
10.1007/978-981-15-0898-1_12 |
lwbgc3il |
0.340993 |
Shah_2017, Petty_2017, Ridgway_2017 |
Al-Khouzaie_2013, Jung_2015, Kim_J_2015, Ning_2018 |
| 66 |
Gerritsen_2017 |
Improving early diagnosis of pulmonary infections in patients with febrile neutropenia using low-dose chest computed tomography |
Gerritsen, M. G.; Willemink, M. J.; Pompe, E.; van der Bruggen, T.; van Rhenen, A.; Lammers, J. W. J.; Wessels, F.; Sprengers, R. W.; de Jong, P. A.; Minnema, M. C. |
2017 |
2017-02-24 |
COMM-USE |
N |
PMC5325310 |
28235014.0 |
10.1371/journal.pone.0172256 |
c0sr3six |
0.340932 |
Rotzinger_2020, Upchurch_2018, Pautrat_2020 |
Kim_H_2014, Upchurch_2018, Kim_G_2016 |
| 67 |
Yang_2020 |
Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China |
Yang, Wenjie; Cao, Qiqi; Qin, Le; Wang, Xiaoyang; Cheng, Zenghui; Pan, Ashan; Dai, Jianyi; Sun, Qingfeng; Zhao, Fengquan; Qu, Jieming; Yan, Fuhua |
2020 |
2020-04-30 |
PMC |
Y |
PMC7102539 |
32112884.0 |
10.1016/j.jinf.2020.02.016 |
3wdzt391 |
0.337578 |
Shah_2017 |
Chen_2020 |
| 68 |
Keske_2019 |
Human metapneumovirus infection: Diagnostic impact of radiologic imaging |
Keske, Şiran; Gümüş, Terman; Köymen, Tamer; Sandıkçı, Sunay; Tabak, Levet; Ergönül, Önder |
2019 |
2019-02-01 |
PMC |
N |
PMC7166911 |
30659630.0 |
10.1002/jmv.25402 |
amg309uz |
0.337505 |
|
|
| 69 |
Liu_K_2020 |
CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity |
Liu, Kai-Cai; Xu, Ping; Lv, Wei-Fu; Qiu, Xiao-Hui; Yao, Jin-Long; Gu, Jin-Feng; Wei, Wei |
2020 |
2020-05-31 |
PMC |
Y |
PMC7118536 |
32193037.0 |
10.1016/j.ejrad.2020.108941 |
ba1br2a0 |
0.336140 |
Upchurch_2018, Li_P_2011, Bux_S_2010 |
Yeom_2016 |
| 70 |
Bakhshayeshkaram_2011 |
Imaging Findings in Patients With H1N1 Influenza A Infection |
Bakhshayeshkaram, Mehrdad; Saidi, Bahareh; Tabarsi, Payam; Zahirifard, Soheila; Ghofrani, Mishka |
2011 |
2011-12-25 |
COMM-USE |
N |
PMC3522360 |
23329946.0 |
10.5812/iranjradiol.4554 |
zwfxnd7r |
0.327801 |
|
Jung_2015, Yun_T_2010, Karimata_2018 |
| 71 |
Ellington_2017 |
Lung ultrasound as a diagnostic tool for radiographically-confirmed pneumonia in low resource settings |
Ellington, Laura E.; Gilman, Robert H.; Chavez, Miguel A.; Pervaiz, Farhan; Marin-Concha, Julio; Compen-Chang, Patricia; Riedel, Stefan; Rodriguez, Shalim J.; Gaydos, Charlotte; Hardick, Justin; Tielsch, James M.; Steinhoff, Mark; Benson, Jane; May, Evelyn A.; Figueroa-Quintanilla, Dante; Checkley, William |
2017 |
2017-07-23 |
None |
N |
PMC5480773 |
28610670.0 |
10.1016/j.rmed.2017.05.007 |
7duw51ow |
0.323512 |
|
Upchurch_2018, Kim_G_2016, Ishiguro_2019, Hermida_Pérez_2010 |
| 72 |
Upchurch_2018 |
Community-Acquired Pneumonia Visualized on CT Scans but Not Chest Radiographs Pathogens, Severity, and Clinical Outcomes |
Upchurch, Cameron P.; Grijalva, Carlos G.; Wunderink, Richard G.; Williams, Derek J.; Waterer, Grant W.; Anderson, Evan J.; Zhu, Yuwei; Hart, Eric M.; Carroll, Frank; Bramley, Anna M.; Jain, Seema; Edwards, Kathryn M.; Self, Wesley H. |
2018 |
2018-03-31 |
None |
N |
PMC5989638 |
28802696.0 |
10.1016/j.chest.2017.07.035 |
n881myx0 |
0.320475 |
Rotzinger_2020, Pautrat_2020, Gerritsen_2017, Bux_S_2010 |
Kim_G_2016, Miao_2020, Lomoro_2020, Yoon_2020 |
| 73 |
Singh_2017 |
Pulmonary presentation of Kawasaki disease—A diagnostic challenge |
Singh, Surjit; Gupta, Aman; Jindal, Ankur Kumar; Gupta, Anju; Suri, Deepti; Rawat, Amit; Vaidya, Pankaj C.; Singh, Meenu |
2017 |
2017-09-26 |
PMC |
N |
PMC7167766 |
28950425.0 |
10.1002/ppul.23885 |
fl0ouw9y |
0.310504 |
|
|
| 74 |
Zhu_Z_2020 |
How to differentiate COVID-19 pneumonia from heart failure with computed tomography at initial medical contact during epidemic period |
Zhaowei Zhu; Jianjun Tang; Xiangping Chai; Zhenfei Fang; Qiming Liu; Xinqun Hu; Danyan Xu; Jia He; Liang Tang; Shi Tai; Yuzhi Wu; Shenghua Zhou |
2020 |
2020-03-06 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>31047 |
4ep7nf3q |
0.306779 |
|
Dai_H_2020 |
| 75 |
Li_K_2020 |
The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia |
Li, Kunhua; Wu, Jiong; Wu, Faqi; Guo, Dajing; Chen, Linli; Fang, Zheng; Li, Chuanming |
2020 |
2020-02-29 |
None |
Y |
PMC7147273 |
32118615.0 |
10.1097/rli.0000000000000672 |
07amiydg |
0.304224 |
Rotzinger_2020, Washington_2009, Restrepo_2010, Upchurch_2018 |
Ishiguro_2019, Hermida_Pérez_2010 |
| 76 |
Kim_Y_2015 |
Transforming growth factor‐beta 1 in humidifier disinfectant‐associated children's interstitial lung disease |
Kim, Yoon Hee; Kim, Kyung Won; Lee, Kyung Eun; Lee, Mi‐Jung; Kim, Sang Kyum; Kim, Se Hoon; Shim, Hyo Sup; Lee, Chang Young; Kim, Myung‐Joon; Sohn, Myung Hyun; Kim, Kyu‐Earn |
2015 |
2015-06-25 |
PMC |
N |
PMC7167780 |
26111363.0 |
10.1002/ppul.23226 |
naht0ik6 |
0.301412 |
|
|


Version @JATOS_VERSION
You landed on the deployment page of our AAT experiment. Welcome!
Find more information.
Learn more in our docs »
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Enumerable#Map is one of the most useful enumerable methods ruby has. It's similar to Array#Each in that it it takes a group of data, such as an array, and executes a piece of code for each element in that group. However, the main difference between #Map and #Each is that A.each{stuff} does stuff and then returns A but A.map{stuff} does stuff and returns the return values of {stuff}.
This means that we can use #Map to modify our input much easier than if we used #Each. For example, say we have an array of numbers A=[0,1,2,3]
and we wanted to make another array that contained the squares of those numbers. Using #Map this is pretty easy, we just do squares = A.map{|x| x*x}
. Using #Each requires more creative code; since A.each will just return [0,1,2,3] we have to do something like squares =[] \n A.each{|x| squares << x*x}
which requires us to create the squares array beforehand.
#Map also has a destructible version, #Map!, which is the same as #Map except it modifies the original group of data. This makes it easy to create destructible methods that make changes based on your data. For example, lets say we wanted to make a method, square_array, that when called on an array would square all the values. It would look something like this:
def square_array(array)
array.map!{|x| x*x}
end
Now if we call it on our A array from before square_array(A)
it would take each entry in A and square it, so now A => [0,1,4,9]
. This makes #Map, and #Map! very powerful tools for manipulating large amounts of data quickly.


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So far, every example of world modelling that we have seen has been eerily static. An apple is yummy, and will remain so forever. The description of a steak might depend on whether the player eats meat or not, but we haven't seen any language facility that would allow us to adjust the vegetarianism of the player during gameplay, or even to change who the current player is.
Dialog supports four kinds of dynamic predicates. They are called global flags, per-object flags, global variables, and per-object variables.
A global flag is a predicate with no parameters, and no side effects. It can either succeed (once) or fail. To set a global flag, use the (now) keyword:
| (now) (player eats meat) |
To clear it, use (now) together with a negation:
| (now) ~(player eats meat) |
We are allowed to define static rules for the global flag, but they won't be accessible at runtime, because queries will merely check the current value of the flag.
However, the compiler will look at the static rules to determine the initial value of the global flag. If there are no rules defined, the flag will be off at the start of the program.
| (player eats meat) %% Flag is initially set. |
Note that there is no need to declare anywhere that (player eats meat) is a dynamic predicate. That follows implicitly from the fact that we try to use (now) on it. However, if—due to the use of (now)—a predicate is dynamic, then the compiler will enforce certain restrictions on the static rules that define its initial value, for instance that they have no side-effects, and that they don't depend on the value of other dynamic predicates.
A per-object flag is a predicate with one parameter, and no side effects. When queried with a particular object as parameter, it will either succeed (once) or fail. To set the flag for a particular object, use the (now) keyword:
| (now) (#door is open) |
Per-object flags may only be set for objects (e.g. not lists or numbers). If an attempt is made to set the flag when the parameter isn't bound to an object, a fatal runtime error occurs.
To clear the flag, use (now) together with a negated query:
| (now) ~(#door is open) |
It is safe to attempt to clear the flag for a non-object: Nothing happens in that case.
It is also possible to clear the flag for every object in the game, by supplying an anonymous variable as parameter. This is faster than iterating over each object in turn:
| (now) ~($ is open) |
But it is not possible to set the flag for every object in the game in this way; that triggers a runtime error. The rationale for this is that an unbound variable (such as $) may take on any value, e.g. a number or list, and per-object flags may only be set for objects.
To check if the flag is set for a particular object, simply query the predicate:
| The door is (if) (#door is open) (then) open (else) closed (endif). |
If the parameter is bound to anything other than an object, the predicate fails, without generating a fatal error: A per-object flag may only be set for objects, but it can be queried for any value.
If the parameter is unbound, the query binds it to an object for which the flag is set (failing if there are none). With a multi-query, it is possible to backtrack over all objects that have the flag set:
| (#reddoor is open) | |
| (#bluedoor is open) | |
| (#greendoor is open) | |
| (program entry point) | |
| (now) ~(#bluedoor is open) | |
| (collect $Thing) | |
| *($Thing is open) | |
| (into $List) | |
| The open things are: $List |
This produces the output:
Let's pause for a while and consider a matter of design philosophy. I have claimed that in Dialog, objects are nothing but names, and the world is modelled using relations, represented by predicates. When it comes to per-object flags (and per-object variables, to be introduced below), that standpoint is starting to look tenuous. To be sure, dynamic predicates are designed to look and behave just like ordinary predicates when you query them. And in order to change the state of the game world, you issue now-commands that appear to modify predicates rather than objects. But at the same time, there are restrictions on how you can update those predicates, so that, in effect, what you can do is more or less exactly what you could do by storing flags (and properties) inside objects.
In the end, whether you choose to regard a dynamic per-object flag as something that resides inside the object, or in a separate data structure that represents the dynamic predicate, is entirely up to you. The actual runtime representation is irrelevant, and the compiler will in fact choose among different representations based on how the predicate is accessed from various parts of the program.
Global variables are dynamic predicates with a single parameter. To distinguish them from per-object flags, global variables have to be declared, using special syntax. This is what it looks like:
| (global variable (signature)) |
starting at the leftmost column of a line. For instance:
| (global variable (current player $)) |
The initial value of the global variable can be specified with an ordinary rule definition:
| (current player #bob) |
But it is also possible to provide the initial value inside the global variable declaration itself:
| (global variable (current player #bob)) |
To change the value of a global variable, use the (now) keyword:
| (now) (current player #alice) |
Note that the above is a low-level operation. When working with the standard library, the predicate (select player $) should be used to change the current player. But we'll get to that in Part II.
It is also possible to unset the global variable, using ~, so that subsequent queries to the predicate will fail. The parameter must be an anonymous variable. The following line of code could be pronounced “Now, the current player is nobody”, or, in case you're a logician, “Now, it is not the case that the current player is anybody”:
| (now) ~(current player $) |
This is also the default state of a global variable, if no initial value is defined.
As usual, we can query the predicate with a bound parameter (to check if the global variable has that particular value), or with an unbound variable (to obtain the current value). Either query will fail if the global variable is unset.
The value that is stored in a global variable must be bound. Attempts to set a global variable to an unbound variable, or a list with an unbound variable inside, will result in a fatal runtime error.
In the following example, a complex global variable is used to implement an AGAIN command:
| (global variable (last input $)) | |
| (ask for command $Result) | |
| > (get input $Words) | |
| (if) ($Words = [again]) (or) ($Words = [g]) (then) | |
| (last input $Result) | |
| (else) | |
| ($Result = $Words) | |
| (now) (last input $Result) | |
| (endif) |
A per-object variable (sometimes referred to as an object property) is a predicate with two parameters, and no side effects. The first parameter is always an object, and the second parameter can be any bound value. A per-object variable can also be unset for a given object.
When a per-object variable is queried with the first parameter bound to an object, the second parameter will be unified with the current value of the variable. As usual, this can be used to check for a particular value:
| (if) (#troll wields #axe) (then) ... (endif) |
or to read the current value:
| (narrate fight with $Enemy) %% Assume $Enemy is bound | |
| ($Enemy wields $Weapon) | |
| (The $Enemy) swings (the $Weapon) at you. |
The query fails if the variable is unset.
When a per-object variable is queried with an unbound first parameter, Dialog backtracks over every object in the game, and attempts to unify the second parameter with the current value of the corresponding per-object variable. This is potentially a very slow operation, at least on vintage hardware, and the compiler will print a warning if you attempt to do it. To get rid of the warning, you can explicitly backtrack over all objects yourself, by querying *(object $), and then checking the property.
| ($X wields #axe) The axe is currently in the hands of (the $X). |
To change the value of a per-object variable, use the (now) keyword:
| (now) (#troll wields #club) |
Again, the first parameter must be an object, and the second parameter must be bound. If this is not the case, a fatal runtime error occurs.
To unset the per-object variable, use the following syntax, where the second parameter must be an anonymous variable:
| (now) ~(#troll wields $) |
The following is also allowed, and faster than doing it explicitly for each object:
| (now) ~($ wields $) %% Nobody wields anything anymore. |
As with the other dynamic predicates, the initial value of a per-object variable is defined with ordinary rules:
| (#troll wields #club) |
There is one built-in per-object variable with special properties. This is the ($ has parent $) predicate. It is used to track where in the game world objects are located. In other words, it is an abstraction of the low-level Z-machine object tree operations.
In many ways, ($ has parent $) works just like any other per-object variable: It is queried and modified in the same way, and when it is modified, the first parameter must always be an object. But it has the additional restriction that the second parameter must also be an object. The benefit of this is that reverse lookup operations—backtracking over every child of a particular object—can be implemented very efficiently.
The ($ has parent $) property can be unset in order to detach an object from the object tree.
Here are some examples:
(#troll has parent $Room)
Determine where the troll is.
*($Obj has parent #library)
Backtrack over every object in the library.
(now) (#troll has parent #cave)
Set the parent object of the troll. Under the hood, this will also update the linked structures representing the children of the cave, and the children of the previous parent of the troll.
(now) ~(#axe has parent $)
Remove the axe from play (i.e. detach it from the object tree).
 This means that you're not allowed to create cycles, such as a pair of boxes inside each other. Compiled Dialog code cannot detect violations of this rule at runtime, but the interactive debugger does.
Be wary of updating the object tree while there is an ongoing iteration: An untimely change of a sibling pointer could easily divert the iterating code into a different part of the object tree.
That being said, Dialog guarantees that you can safely iterate over all objects with a particular parent, and move them (or a subset of them) to a different part of the object tree:
| (exhaust) { | |
| *($Obj has parent #safe) | |
| (now) ($Obj has parent #knapsack) | |
| } |


{%extends "confreg/confadmin_base.html" %} {%load currency%} {%block title%}Refund sponsor - {{sponsor}}{%endblock%} {%block layoutblock%}
| Invoice number | #{{sponsor.invoice.id}} |
|---|---|
| Title | {{sponsor.invoice.title}} |
| Recipient | {{sponsor.invoice.recipient_name}} <{{sponsor.invoice.recipient_email}}> |
| Invoice date | {{sponsor.invoice.invoicedate}} |
| Payment date | {{sponsor.invoice.paidat}} |
| Payment method | {{sponsor.invoice.payment_method_description}} |
| Total amount | {{sponsor.invoice.total_amount|format_currency}}{%if eu_vat %} ({{sponsor.invoice.amount_without_vat|format_currency}} + {{sponsor.invoice.total_vat|format_currency}} VAT){%endif%} |
| Already refunded | {{sponsor.invoice.total_refunds.amount|format_currency}}{%if eu_vat %} ({{sponsor.invoice.total_refunds.vatamount|format_currency}} VAT){%endif%} |


{% extends "horizon/common/_modal_form.html" %} {% load i18n %} {% block form_id %}create_reachability_test_form{% endblock %} {% block form_action %}{% url 'horizon:project:connections:reachability_tests:create' %}{% endblock %} {% block modal-header %}{% trans "Create Reachability Test" %}{% endblock %} {% block modal-body %}
{% trans "Reachability test are automated test to check for connectivity between two points in a network." %}
{% trans "The test can be between VMs, end point groups, tenants or connections to outside IP address." %}


Biomes are larger units of organization that categorize regions of the Earth's ecosystems, mainly according to the structure and composition of vegetation. There are different methods to define the continental boundaries of biomes dominated by different functional types of vegetative communities that are limited in distribution by climate, precipitation, weather and other environmental variables.
4 users Dashboard CONTINUEBiomes are larger units of organization that categorize regions of the Earth's ecosystems, mainly according to the structure and composition of vegetation. There are different methods to define the continental boundaries of biomes dominated by different functional types of vegetative communities that are limited in distribution by climate, precipitation, weather and other environmental variables.
4 users Dashboard CONTINUE


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