An aeromedical litter redesign for BMED 2310 class project. This was my first real introduction to medical device development. Ultimately, the solution we developed was built on fairly shoddy assumptions. The litter did hold up to snuff in preliminary verification testing. The primary concept was combining elements of a stoke's litter and a SKED. The litter itself was designed in Solidworks and then cut out of a sheet of polyethelen using a water-jet in the Georgia Tech Invention Studio.
Estimated Building Cost: $80.00


About me.
I'm Jenn! I'm a Visual UX Designer and Illustrator living in Seattle, Washington.
Trained deep in the exotic Ohio Valley at the University of Cincinnati’s DAAP Design program with a focus in fashion, I discovered my passion for graphic and surface design. A healthy interest in interactive and web design, drawing from my dark past as a webmaster for a teen boyband fansite, has contributed to my ability to take on a variety of projects and challenges.
I've worked for big companies like Procter & Gamble, LPK, American Eagle and Abercrombie and Fitch. I've spent time consulting with small companies and startups like Lulabop and Dokonoko trying on all of their hats. If you have a good hat to wear, I'd like to try it on! I'm open for new projects and experiences so if you think you have something cool, you can contact me here.


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GitHub: https://github.com/truthhun/bookstack
Gitee: https://gitee.com/truthhun/BookChat
GitHub: https://github.com/truthhun/bookchat


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--- layout: homepage ---
I'm currently a Full Stack Web Developer at GOODSTUPH in Singapore, working on some pretty cool stuph (pardon the pun) with some dope clients.
In a past life I was a writer, and had been published by Thomson Reuters, Forbes, Tech in Asia and The Jakarta Globe, to name a few.
As part of our third year IT project at Latrobe, my team and I built Metrobe. You can read about why we did what we did here. I'm also really into contributing to Open Source projects, which you can keep track of on my GitHub.
Email me if you'd like to talk or go grab a coffee, I'm always up to meeting new people.


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A new shuttle train service between Singapore and Johor Bahru kicked off on Wednesday.
The service, called Shuttle Tebrau, is operated by Malaysia’s JB Sentral in just five minutes.
York Airport Service is a private bus company that provides transportation area airports and Manhattan.
Copyright Prodrive © 2018. All Rights Reserved


2003 ESA/Europe
SMART-1 was a 3 year long orbital mission to take pictures and impacted the moon at the end. This was the first and only mission by ESA in Europe.


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Hey there! I'm a WordPress Engineer & full-stack LAMP developer who currently focuses on user-centered, mobile-first solutions for WordPress and Shopify sites. I also help clients address their security, hosting, and optimization needs.
BS, Animal Science
I grew up in a time when there were no role models for me as I was learning to code and entering the industry, so I am passionate about giving back. I'm also a rare extrovert in tech - I get energized by new ideas and community building, so I like to be a part of the tech community (both online and offline) as much as I can.
When I'm not involved in tech or education, I am at home with my kids and dogs. I work with a local animal rescue to save dogs from high-kill shelters and find them new homes, so we ususally have a foster dog or two around as well. I enjoy playing video games with my friends. I am also a huge Marvel fan and I love any great story that I can lose myself in.
This site was created on
Github Pages using a
modified version of the
Start Bootstrap Resume theme.
[See the source code.]


button1
only div1.......
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you know div2? right?
button3
div3 coming!!!!!!!
button4
div4 there i am


<{include file="order/entire/confirm/fragment/contract" /}>
<{include file="order/entire/confirm/fragment/customer" /}>
<{include file="order/entire/confirm/fragment/checkout" fieldStatus="check_status_score" fieldRemark="check_remark_score"/}>
<{include file="order/entire/confirm/fragment/banquet" /}>
<{include file="order/entire/confirm/fragment/wedding" /}>


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Glaucoma is a disease of the optic nerve. The optic nerve is the part of the eye that carries the images we see to the
brain. It is made up of many nerve fibers (like an electric cable containing numerous wires.) Glaucoma damages the
nerve fibers, which can cause vision loss to develop.
Glaucoma is often related to the pressure inside of the eye. This is referred to as the intraocular pressure (IOP).
When the clear liquid that fills the front portion of the eye has difficulty draining out of the eye, pressure builds
up in the eye. The resulting increase in the IOP can damage the optic nerve. When damage to the optic nerve fibers
occurs, blind spots develop. These blind spots usually go undetected until the optic nerve is significantly damaged. If
the entire nerve is destroyed, blindness results.
Early detection and treatment are the keys to preventing optic nerve damage and blindness from glaucoma. Glaucoma is a
leading cause of blindness in the United States, especially in older people. But loss of sight from glaucoma can often
be prevented with early treatment.
Aqueous humor, a clear liquid, circulates inside the front portion of the eye. To maintain a healthy level of pressure within the eye, a small amount of this fluid is produced constantly, while an equal amount flows out of the eye through a microscopic drainage system. This liquid is not part of the tears on the outer surface of the eye. Because the eye is a closed structure, if the drainage area for the aqueous humor is blocked, the excess fluid cannot flow out of the eye. Fluid pressure within the eye increases, pushing against the optic nerve and causing damage.
Primary Open-Angle Glaucoma The most common form of glaucoma in the United States is primary open-angle glaucoma.
Primary open-angle glaucoma is where the aqueous fluid that normally circulates in the front portion of the eye is
blocked from flowing out of the eye through a tiny drainage system.This causes the pressure inside of the eye to
increase, which can damage the optic nerve and lead to vision loss. As the optic nerve becomes more damaged, blank
spots begin to appear in your field of vision. Most people who develop primary open-angle glaucoma have no symptoms
until vision is impaired. The risk of developing primary open-angle glaucoma increases with age.
Angle Closure Glaucoma In angle-closure glaucoma, the iris (the colored part of the eye) may drop over and completely
close off the drainage angle, abruptly blocking the flow of the aqueous fluid and leading to increased IOP or optic
nerve damage. In acute angle-closure glaucoma, there is a sudden increase in IOP due to the buildup of aqueous fluid.
This condition is considered an emergency because optic nerve damage and vision loss can occur within hours of the
problem. Symptoms can include nausea, vomiting, seeing halos around light, and eye pain. If you have these symptoms,
call the office immediately.
Normal Tension Glaucoma Even people with “normal” IOP can experience vision loss from glaucoma. This condition is
called normal tension glaucoma. In this type of glaucoma, the optic nerve is damaged even though the IOP is considered
normal. Normal tension glaucoma is not well understood, but we do know that lowering IOP has been shown to slow
progression of this form of glaucoma.
Childhood Glaucoma Childhood glaucoma is rare and may start in infancy, childhood or adolescence. Like primary
open-angle glaucoma, there are few, if any, symptoms in the early stages. Blindness can result if it is left untreated.
Like most types of glaucoma, this type of glaucoma may run in families.
Dr. Scharf or Dr. Cohen may tell you that you are at risk for glaucoma if you have one or more risk factors, including:
The best way to detect glaucoma is by regular eye examinations with your ophthalmologist. A glaucoma screening that checks only the pressure of the eye is not sufficient to determine if you have glaucoma. The only way to detect glaucoma is to have a complete eye examination.


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You don't get to be mom if you can't fix everything just right.
Until you stalk and overrun, you can't devour anyone.
There's never enough time to do all the nothing you want.


#include <system.h>
Public Member Functions | |
| System (const Char *program_name_, Int system_memory_pool_size_) | |
| Constructor. . | |
| ~System () | |
| Destructor. | |
| void | Exit () |
| Sets system exit flag. | |
| PackDir * | GetPackDir () |
| Bool | ReadFlashData (Resource &flashdata) |
| Reads application persistent data to Resource object. | |
| void | WriteFlashData (Resource &flashdata) |
| Writes application persistent data. | |
| void | LOG (const Char *str) |
| Writes string to system log file. | |
| void | LOG (const string &str) |
| Writes string to system log file. | |
| void | LOGHexDump (const void *buffer, Int size) |
| Writes memory dump to system log. | |
| DWord | GetTicks () |
| Returns system ticks in microseconds. | |
| const string & | GetProgramName () |
| Returns program name. | |
Public Attributes | |
| Input | input |
| Instance of Input class oject. | |
| BtNetwork | btnet |
| Instance of BtNetwork class object. | |
| SoundSystem | sound_system |
| Instance of SoundSystem class object. |
This instance of System object created by MobileDragon core, and pointer to it is passed to user defined MDGameCreate funtion. Don't delete this object . It stores pointers to render2d, render3d objects, and instances of BtNetwork, Input, SoundSystem classes.
|
|
Constructor. . Do not create instances of System object, it is automatically created by MobileDragon core. |
|
|
Sets system exit flag. After returning from MDGame::Update() the MobileDragon core will return controlto the host OS if this flag is set. |
|
|
Get system PackDir class object.
|
|
|
Writes string to system log file.
|
|
|
Writes string to system log file.
|
|
|
Writes memory dump to system log.
|
|
|
Writes application persistent data.
|


SparkR (R on Spark)
Overview
SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. In Spark 1.4.0, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames, dplyr) but on large datasets.
SparkR DataFrames
A DataFrame is a distributed collection of data organized into named columns. It is conceptually equivalent to a table in a relational database or a data frame in R, but with richer optimizations under the hood. DataFrames can be constructed from a wide array of sources such as: structured data files, tables in Hive, external databases, or existing local R data frames.
All of the examples on this page use sample data included in R or the Spark distribution and can be run using the ./bin/sparkR
shell.
Starting Up: SparkContext, SQLContext
The entry point into SparkR is the SparkContext
which connects your R program to a Spark cluster.
You can create a SparkContext
using sparkR.init
and pass in options such as the application name
etc. Further, to work with DataFrames we will need a SQLContext
, which can be created from the
SparkContext. If you are working from the SparkR shell, the SQLContext
and SparkContext
should
already be created for you.
sc <- sparkR.init()
sqlContext <- sparkRSQL.init(sc)
Creating DataFrames
With a SQLContext
, applications can create DataFrame
s from a local R data frame, from a Hive table, or from other data sources.
From local data frames
The simplest way to create a data frame is to convert a local R data frame into a SparkR DataFrame. Specifically we can use createDataFrame
and pass in the local R data frame to create a SparkR DataFrame. As an example, the following creates a DataFrame
based using the faithful
dataset from R.
df <- createDataFrame(sqlContext, faithful)
# Displays the content of the DataFrame to stdout
head(df)
## eruptions waiting
##1 3.600 79
##2 1.800 54
##3 3.333 74
From Data Sources
SparkR supports operating on a variety of data sources through the DataFrame
interface. This section describes the general methods for loading and saving data using Data Sources. You can check the Spark SQL programming guide for more specific options that are available for the built-in data sources.
The general method for creating DataFrames from data sources is read.df
. This method takes in the SQLContext
, the path for the file to load and the type of data source. SparkR supports reading JSON and Parquet files natively and through Spark Packages you can find data source connectors for popular file formats like CSV and Avro.
We can see how to use data sources using an example JSON input file. Note that the file that is used here is not a typical JSON file. Each line in the file must contain a separate, self-contained valid JSON object. As a consequence, a regular multi-line JSON file will most often fail.
people <- read.df(sqlContext, "./examples/src/main/resources/people.json", "json")
head(people)
## age name
##1 NA Michael
##2 30 Andy
##3 19 Justin
# SparkR automatically infers the schema from the JSON file
printSchema(people)
# root
# |-- age: integer (nullable = true)
# |-- name: string (nullable = true)
The data sources API can also be used to save out DataFrames into multiple file formats. For example we can save the DataFrame from the previous example
to a Parquet file using write.df
write.df(people, path="people.parquet", source="parquet", mode="overwrite")
From Hive tables
You can also create SparkR DataFrames from Hive tables. To do this we will need to create a HiveContext which can access tables in the Hive MetaStore. Note that Spark should have been built with Hive support and more details on the difference between SQLContext and HiveContext can be found in the SQL programming guide.
# sc is an existing SparkContext.
hiveContext <- sparkRHive.init(sc)
sql(hiveContext, "CREATE TABLE IF NOT EXISTS src (key INT, value STRING)")
sql(hiveContext, "LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src")
# Queries can be expressed in HiveQL.
results <- hiveContext.sql("FROM src SELECT key, value")
# results is now a DataFrame
head(results)
## key value
## 1 238 val_238
## 2 86 val_86
## 3 311 val_311
DataFrame Operations
SparkR DataFrames support a number of functions to do structured data processing. Here we include some basic examples and a complete list can be found in the API docs:
Selecting rows, columns
# Create the DataFrame
df <- createDataFrame(sqlContext, faithful)
# Get basic information about the DataFrame
df
## DataFrame[eruptions:double, waiting:double]
# Select only the "eruptions" column
head(select(df, df$eruptions))
## eruptions
##1 3.600
##2 1.800
##3 3.333
# You can also pass in column name as strings
head(select(df, "eruptions"))
# Filter the DataFrame to only retain rows with wait times shorter than 50 mins
head(filter(df, df$waiting < 50))
## eruptions waiting
##1 1.750 47
##2 1.750 47
##3 1.867 48
Grouping, Aggregation
SparkR data frames support a number of commonly used functions to aggregate data after grouping. For example we can compute a histogram of the waiting
time in the faithful
dataset as shown below
# We use the `n` operator to count the number of times each waiting time appears
head(summarize(groupBy(df, df$waiting), count = n(df$waiting)))
## waiting count
##1 81 13
##2 60 6
##3 68 1
# We can also sort the output from the aggregation to get the most common waiting times
waiting_counts <- summarize(groupBy(df, df$waiting), count = n(df$waiting))
head(arrange(waiting_counts, desc(waiting_counts$count)))
## waiting count
##1 78 15
##2 83 14
##3 81 13
Operating on Columns
SparkR also provides a number of functions that can directly applied to columns for data processing and during aggregation. The example below shows the use of basic arithmetic functions.
# Convert waiting time from hours to seconds.
# Note that we can assign this to a new column in the same DataFrame
df$waiting_secs <- df$waiting * 60
head(df)
## eruptions waiting waiting_secs
##1 3.600 79 4740
##2 1.800 54 3240
##3 3.333 74 4440
Running SQL Queries from SparkR
A SparkR DataFrame can also be registered as a temporary table in Spark SQL and registering a DataFrame as a table allows you to run SQL queries over its data.
The sql
function enables applications to run SQL queries programmatically and returns the result as a DataFrame
.
# Load a JSON file
people <- read.df(sqlContext, "./examples/src/main/resources/people.json", "json")
# Register this DataFrame as a table.
registerTempTable(people, "people")
# SQL statements can be run by using the sql method
teenagers <- sql(sqlContext, "SELECT name FROM people WHERE age >= 13 AND age <= 19")
head(teenagers)
## name
##1 Justin


Data queried: loading date...
| Surface water | Groundwater | ||
| Atmospheric | Other |
| xDCP, xGH, MODEM (x=1,2) | |
| 1xRAT (x=l,h) | |
| 2xRAT (x=l,h,r) | |
| 3xRAT (x=l,h) | |
| 4RAT | |
| iGEN | |
| xTIME (x=1,2,3,4) | |
| iWEB | |
| xDCP, xGH, SPIKE (x=3,4,i) | |
| xGAP (x=2,3,4,5), xSHFT (x=3,4,5,6), iCOMP | |
| Multiple flags, color represents most severe flag. |
Developed by USGS NY WSC


#include <XENCCipher.hpp>
The XENCCipher class not something that is directly defined in the XML Encryption standard. It is a control class used by the library to generate encrypted XML information and to decrypt information held in XML Encryption structures.
All encryption and decryption work performed by the library is handled within this class. The other XENC classes simply handle marshalling and unmarshalling of the DOM data.
Public Member Functions | |
Constructors and Destructors | |
| virtual | ~XENCCipher () |
Decryption Functions | |
| virtual XERCES_CPP_NAMESPACE_QUALIFIER DOMDocument * | decryptElement (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *element)=0 |
| Decrypt the nominated element. | |
| virtual XSECBinTXFMInputStream * | decryptToBinInputStream (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *element)=0 |
| Decrypt the nominated element and put the output to an InputStream. | |
| virtual int | decryptKey (XENCEncryptedKey *encryptedKey, XMLByte *rawKey, int maxKeySize)=0 |
| Decrypt a key. | |
| virtual int | decryptKey (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *keyNode, XMLByte *rawKey, int maxKeySize)=0 |
| Decrypt a key directly from DOM. | |
Encryption Functions | |
| virtual XERCES_CPP_NAMESPACE_QUALIFIER DOMDocument * | encryptElement (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *element, encryptionMethod em, const XMLCh *algorithmURI=NULL)=0 |
| Encrypt the nominated element. | |
| virtual XERCES_CPP_NAMESPACE_QUALIFIER DOMDocument * | encryptElementContent (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *element, encryptionMethod em, const XMLCh *algorithmURI=NULL)=0 |
| Encrypt the children of the nominated element. | |
| virtual XENCEncryptedKey * | encryptKey (const unsigned char *keyBuffer, unsigned int keyLen, encryptionMethod em, const XMLCh *algorithmURI=NULL)=0 |
| Encrypt a buffer of data as a key. | |
| virtual XENCEncryptedData * | encryptBinInputStream (XERCES_CPP_NAMESPACE_QUALIFIER BinInputStream *plainText, encryptionMethod em, const XMLCh *algorithmURI=NULL)=0 |
| Encrypt an input stream to a CipherValue. | |
| virtual XENCEncryptedData * | encryptTXFMChain (TXFMChain *plainText, encryptionMethod em, const XMLCh *algorithmURI=NULL)=0 |
| Encrypt a TXFMChain to a CipherValue. | |
Getter Functions | |
| virtual XERCES_CPP_NAMESPACE_QUALIFIER DOMDocument * | getDocument (void)=0 |
| Get owning document. | |
| virtual const XMLCh * | getXENCNSPrefix (void) const =0 |
| Get namespace prefix for XENC nodes. | |
| virtual XENCEncryptedData * | getEncryptedData (void)=0 |
| Get the EncryptedData element. | |
| virtual bool | getPrettyPrint (void)=0 |
| Tell caller whether PrettyPrinting is active. | |
Setter Functions | |
| virtual void | setKey (XSECCryptoKey *key)=0 |
| Set decryption key for next operation. | |
| virtual void | setKEK (XSECCryptoKey *key)=0 |
| Set Key Encryption Key for next operation. | |
| virtual void | setKeyInfoResolver (const XSECKeyInfoResolver *resolver)=0 |
| Register a KeyInfoResolver. | |
| virtual void | setXENCNSPrefix (const XMLCh *prefix)=0 |
| Set prefix for XENC nodes. | |
| virtual void | setPrettyPrint (bool flag)=0 |
| Set Pretty Print. | |
Creation and loading Functions | |
| virtual XENCEncryptedData * | createEncryptedData (XENCCipherData::XENCCipherDataType type, const XMLCh *algorithm, const XMLCh *value)=0 |
| Create a new EncryptedData element. | |
| virtual XENCEncryptedKey * | loadEncryptedKey (XERCES_CPP_NAMESPACE_QUALIFIER DOMElement *keyNode)=0 |
| Load an EncryptedKey element. |
|
|
|
|
|
Create a new EncryptedData element. Method for creating a basic Encrypted Data element. Can be used in cases where an application needs to build this from scratch. In general, applications should use the higher level methods such as encryptElement or encryptElementContent.
|
|
|
Decrypt the nominated element. Decrypts the passed in element, which must be the root node of a <EncryptedData> method with a type of "#Element". If not, the library will throw an XSECException exception. This is an "all in one method". The library will replace the passed in Element (i.e. the encrypted XML data) with the resultant plain text, after it has been parsed back into DOM nodes
|
|
|
Decrypt a key directly from DOM. Loads an EncryptedKey from DOM and then decrypts the key. If a NULL buffer is passed in, will simply load the key and return
|
|
|
Decrypt a key. Reads in the passed in KeyInfo structure for an EncryptedKey and decrypts the key to a buffer.
|
|
|
Decrypt the nominated element and put the output to an InputStream. Decrypts the passed in element, which must be the root node of a <EncryptedData> method. This call does not change the source DOM in any way. It simply processes the encrypted data and provides an InputStream that the caller can read from to read the plain text data.
|
|
|
Encrypt an input stream to a CipherValue. Encrypts the data passed in via a Xerces BinInputStream and places it directly into a new EncryptedData element that contains a CipherValue
|
|
|
Encrypt the nominated element. Encrypts the passed in element and all children. The element is replaced with an EncryptedData element
|
|
|
Encrypt the children of the nominated element. Encrypts the all children of the passed in element, but leaves the element itself in place, with one new child - an EncryptedData node of type #content
|
|
|
Encrypt a buffer of data as a key. Encrypts the passed in data and creates an EncryptedKey element
|
|
|
Encrypt a TXFMChain to a CipherValue. Encrypts the data passed in via a TXFMChain and places it directly into a new EncryptedData element that contains a CipherValue.
|
|
|
Get owning document. Every Cipher object is associated with an owning document (for generation of nodes etc.) This allows callers to retrieve this value.
|
|
|
Get the EncryptedData element. Allows the user to get the EncryptedData element that was last processed/ created by this XENCCipher object.
|
|
|
Tell caller whether PrettyPrinting is active.
|
|
|
Get namespace prefix for XENC nodes. Find the string being used by the library to prefix nodes in the xenc: namespace.
|
|
|
Load an EncryptedKey element. Take a passed in EncryptedKey DOMNode and return a loaded XENCEncryptedKey object based on the DOMNode from the passed in element.
|
|
|
Set Key Encryption Key for next operation. Set the passed in key for the next key decryption/encryption operation.
|
|
|
Set decryption key for next operation. Set the passed in key for the next decryption/encryption operation.
|
|
|
Register a KeyInfoResolver. Registers a KeyInfoResolver to be used by the cipher when it needs to find a key to be used to decrypt some ciper text
|
|
|
Set Pretty Print. The pretty print functions controls whether the library will output CR/LF after the elements it adds to a document By default the library will do pretty printing (flag is true)
|
|
|
Set prefix for XENC nodes. Set the namespace prefix the library will use when creating nodes in the XENC namespace |


@import models.publishing.PermissionScope @import play.api.libs.json.{Json, JsValue} @import models.Audience._ @import services.dao.DepartmentInfo @( form: Form[_], fieldName: String, departmentOptions: Seq[DepartmentInfo], itemName: String, permissionScope: PermissionScope, allowPublic: Boolean, audience: Audience, audienceJson: JsValue = Json.obj() )(implicit fc: b3.B3FieldConstructor, messages: Messages) @* TODO receive list of allowed audiences from controller - each user's will be different *@ @defining(Seq( // - NEWSTART-1313 we are not differentiating teaching and admin for now. they are all Staff. // TeachingStaff, // AdminStaff, Staff, TaughtPostgrads, // UndergradStudents - this option is now defined in frontend js ResearchPostgrads)) { deptSubsets: Seq[DepartmentSubset] =>


Respecting your privacy is critically important to achieving our mission of motivating every student. These are our guiding privacy principles:
This Privacy Policy describes how Q-key collects, uses, shares, stores and protects your personally identifiable information and how you can access, update, delete, limit, and otherwise halt the use of this information. We offer you choices regarding the collection, use, and sharing of your personal information, including the option to use services without providing personal information.
We strive to support as many people as possible, including those with disabilities. If a screen reader makes this policy more accessible to you, we recommend the following browser and screen reader combinations: Chrome and ChromeVox, Safari and VoiceOver (for Mac users), and Firefox and NVDA (for Windows users).
Q-key believes the personally identifiable information of children and students deserves special protections and we comply with the Children’s Online Privacy Protection Act (“COPPA”) and The General Data Protection Regulation (“GDPR”). We also assist schools in meeting their obligations pursuant to the Family Educational Rights Privacy Act (“FERPA”). Q-key offers a limited feature set and web site experience for young users of Q-key. We do not require students to submit their name or contact information, nor do we require them to create accounts. When a student indicates that they are under the age when they can grant consent on their own, Q-key does not collect personal information as defined under COPPA and may take additional steps to safeguard student privacy as required by law. Except as described in this privacy policy, Q-key does not accumulate personal information about any child for distribution, sharing, or selling.
Here are some examples of safety and privacy measures on Q-key:
Q-key empowers parents and legal guardians of children younger than the age of consent (in the U.S., this means under 13) who have registered accounts with Q-key to exercise their legal rights pursuant to legislation such as COPPA. Parents/guardians can consent to collection and use by Q-key of a child's personally identifiable information (PII) without consenting to the disclosure of information to third parties by Q-key. Currently, the only personal information we collect from a child younger than 13 is their parent's or guardian’s email address.
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|
Uintah::PhaseField
|
Wrapper of DataWarehouse variables for basic differential operations (ScalarField implementation) More...
#include <dw_basic_fd_view.h>
Public Member Functions | |
| dw_basic_fd_view (const typename Field::label_type &label, int material, const Level *level) | |
| Constructor. More... | |
| dw_basic_fd_view (DataWarehouse *dw, const typename Field::label_type &label, int material, const Patch *patch, bool use_ghosts=use_ghosts_dflt) | |
| Constructor. More... | |
| virtual | ~dw_basic_fd_view ()=default |
| Default destructor. More... | |
| dw_basic_fd_view (const dw_basic_fd_view &)=delete | |
| Prevent copy (and move) constructor. More... | |
| dw_basic_fd_view & | operator= (const dw_basic_fd_view &)=delete |
| Prevent copy (and move) assignment. More... | |
| virtual view< Field > * | clone (bool deep) const override |
| Get a copy of the view. More... | |
| virtual view< Field > * | clone (bool deep, const IntVector &offset) const override |
| Get a copy of the view and apply translate the support. More... | |
| virtual view< Field > * | get_view () override |
| Get base view. More... | |
| virtual const view< Field > * | get_view () const override |
| Get base view. More... | |
| virtual V | dx (const IntVector &id) const override |
| Partial x derivative. More... | |
| virtual V | dy (const IntVector &id) const override |
| Partial y derivative. More... | |
| virtual V | dz (const IntVector &id) const override |
| Partial z derivative. More... | |
| virtual V | dxx (const IntVector &id) const override |
| Partial x second order derivative. More... | |
| virtual V | dyy (const IntVector &id) const override |
| Partial y second order derivative. More... | |
| virtual V | dzz (const IntVector &id) const override |
| Partial z second order derivative. More... | |
| Public Member Functions inherited from Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN > | |
| virtual | ~basic_fd_view ()=default |
| Default destructor. More... | |
| virtual void | set (DataWarehouse *dw, const Patch *patch, bool use_ghosts=use_ghosts_dflt)=0 |
| Retrieve value from the DataWarehouse for a given patch. More... | |
| virtual void | set (DataWarehouse *dw, const Level *level, const IntVector &low, const IntVector &high, bool use_ghosts=use_ghosts_dflt)=0 |
| Retrieve value from the DataWarehouse for a given region. More... | |
| Public Member Functions inherited from Uintah::PhaseField::detail::view< ScalarField< T > > | |
| virtual | ~view ()=default |
| Default destructor. More... | |
| virtual Support | get_support () const =0 |
| Get the region for which the view has access to the DataWarehouse. More... | |
| virtual bool | is_defined_at (const IntVector &id) const =0 |
| Check if the view has access to the position with index id. More... | |
| virtual T & | operator[] (const IntVector &id)=0 |
| Get/Modify value at position with index id (modifications are allowed if T is non const) More... | |
| virtual V | operator[] (const IntVector &id) const =0 |
| Get value at position. More... | |
Static Public Attributes | |
| static constexpr bool | use_ghosts_dflt = true |
| Default value for use_ghost when retrieving data. More... | |
| Static Public Attributes inherited from Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN > | |
| static constexpr bool | use_ghosts_dflt = true |
| Default value for use_ghost when retrieving data. More... | |
| Static Public Attributes inherited from Uintah::PhaseField::detail::view< ScalarField< T > > | |
| static constexpr bool | use_ghosts_dflt = false |
| Default value for use_ghost when retrieving data. More... | |
Protected Member Functions | |
| dw_basic_fd_view (const dw_basic_fd_view *copy, bool deep) | |
| Constructor. More... | |
Additional Inherited Members | |
| Public Types inherited from Uintah::PhaseField::detail::view< ScalarField< T > > | |
| using | field_type = ScalarField< T > |
| Type of field. More... | |
Wrapper of DataWarehouse variables for basic differential operations (ScalarField implementation)
Adds to dw_view the possibility to compute finite-difference approximation of of basic differential operations (first and second order derivatives) at internal cells/points
| T | type of the field value at each point |
| STN | finite-difference stencil |
| VAR | type of variable representation |
|
inlineprotected |
Constructor.
Instantiate a copy of a given view
| copy | source view for copying |
| deep | if true inner grid variable is copied as well otherwise the same grid variable is referenced |
|
inline |
Constructor.
Instantiate a view without gathering info from the DataWarehouse
| label | variable label |
| material | material index |
| level | grid level |
|
inline |
Constructor.
Instantiate a view and gather info from dw
| dw | DataWarehouse from which data is retrieved |
| label | variable label |
| material | material index |
| patch | grid patch |
| use_ghosts | if ghosts value are to be retrieved |
|
virtualdefault |
Default destructor.
|
delete |
Prevent copy (and move) constructor.
|
inlineoverridevirtual |
Get a copy of the view.
| deep | if true inner grid variable is copied as well otherwise the same grid variable is referenced |
Implements Uintah::PhaseField::detail::view< ScalarField< T > >.
|
inlineoverridevirtual |
Get a copy of the view and apply translate the support.
| deep | if true inner grid variable is copied as well otherwise the same grid variable is referenced |
| offset | vector specifying the translation of the support |
Implements Uintah::PhaseField::detail::view< ScalarField< T > >.
|
inlineoverridevirtual |
Partial x derivative.
First order derivative along x at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Partial x second order derivative.
Second order derivative along x at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Partial y derivative.
First order derivative along y at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Partial y second order derivative.
Second order derivative along y at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Partial z derivative.
First order derivative along z at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Partial z second order derivative.
Second order derivative along z at index id
| id | index where to evaluate the finite-difference |
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Get base view.
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
inlineoverridevirtual |
Get base view.
Implements Uintah::PhaseField::detail::basic_fd_view< ScalarField< T >, STN >.
|
delete |
Prevent copy (and move) assignment.
|
static |
Default value for use_ghost when retrieving data.


| SPED-Special Education |
| NR |
12199 |
SPED |
3010 |
001 |
24M |
3.000 |
Characteristics and Teaching of Diverse Learners |
MWF |
09:10 am-10:05 am |
24 |
17 |
7 |
0 |
0 |
0 |
Dana Elizabeth Bolton (P) |
01/17-05/04 |
COE 251 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
15110 |
SPED |
3010 |
002 |
24M |
3.000 |
Characteristics and Teaching of Diverse Learners |
MWF |
10:20 am-11:15 am |
24 |
22 |
2 |
0 |
0 |
0 |
Dana Elizabeth Bolton (P) |
01/17-05/04 |
COE 251 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
10083 |
SPED |
3010 |
003 |
24M |
3.000 |
Characteristics and Teaching of Diverse Learners |
MW |
12:40 pm-02:05 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Jeri Lyn Custodero (P) |
01/17-05/04 |
COE 150 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10084 |
SPED |
3010 |
004 |
24M |
3.000 |
Characteristics and Teaching of Diverse Learners |
TR |
09:40 am-11:05 am |
24 |
22 |
2 |
0 |
0 |
0 |
Jeri Lyn Custodero (P) |
01/17-05/04 |
COE 249 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
10086 |
SPED |
3010 |
005 |
24M |
3.000 |
Characteristics and Teaching of Diverse Learners |
TR |
01:00 pm-02:25 pm |
24 |
24 |
0 |
0 |
0 |
0 |
Jeri Lyn Custodero (P) |
01/17-05/04 |
COE 249 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
17309 |
SPED |
4000 |
002 |
24M |
3.000 |
Teaching Reading to Diverse Learners |
R |
04:30 pm-07:30 pm |
20 |
24 |
-4 |
0 |
0 |
0 |
Casey Faye Brasher (P) |
01/17-05/04 |
COE 245 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10093 |
SPED |
4120 |
001 |
24M |
3.000 |
Curriculum, Methods, and Materials for Special Education (Comprehensive) |
TR |
11:20 am-12:45 pm |
24 |
17 |
7 |
0 |
0 |
0 |
Thomas Lea Black (P), Brianna Lynn Heckert |
01/17-05/04 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10094 |
SPED |
4170 |
001 |
24M |
3.000 |
Strategic Teaching and Learning in Secondary Education (Modified) |
TR |
11:20 am-12:45 pm |
24 |
9 |
15 |
0 |
0 |
0 |
Jeri Lyn Custodero (P) |
01/17-05/04 |
COE 240 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10095 |
SPED |
4250 |
001 |
24M |
3.000 |
Education in the Affective Domain |
M |
04:30 pm-07:30 pm |
24 |
8 |
16 |
0 |
0 |
0 |
Jeri Lyn Custodero (P) |
01/17-05/04 |
COE 250 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
17282 |
SPED |
4280 |
D03 |
24M |
3.000 |
Assistive Technology in Special Education |
|
TBA |
17 |
19 |
-2 |
24 |
24 |
0 |
Kimberly Sue Lilley (P) |
01/17-05/04 |
TBA TBA |
Distance Learning and Distance Education Fee-UG and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
01/25-01/25 |
COE 110 |
Distance Learning and Distance Education Fee-UG and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
02/15-02/15 |
COE 110 |
Distance Learning and Distance Education Fee-UG and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
03/01-03/01 |
COE 110 |
Distance Learning and Distance Education Fee-UG and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
04/12-04/12 |
COE 110 |
Distance Learning and Distance Education Fee-UG and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
13231 |
SPED |
4320 |
001 |
24M |
12.000 |
Residency II, Special Education - Comprehensive License |
MTWRF |
08:00 am-03:00 pm |
24 |
6 |
18 |
0 |
0 |
0 |
Beverly R Calder (P) |
01/17-05/04 |
TBA TBA |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
13944 |
SPED |
4320 |
002 |
24M |
12.000 |
Residency II, Special Education - Comprehensive License |
|
TBA |
24 |
1 |
23 |
0 |
0 |
0 |
Gary E Mullican (P) |
01/17-05/04 |
TBA TBA |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
13230 |
SPED |
4350 |
001 |
24M |
12.000 |
Residency II, Special Education - Modified License |
MTWRF |
08:00 am-03:00 pm |
1 |
1 |
0 |
0 |
0 |
0 |
Gary E Mullican (P) |
01/17-05/04 |
TBA TBA |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
13945 |
SPED |
4350 |
002 |
24M |
12.000 |
Residency II, Special Education - Modified License |
|
TBA |
5 |
5 |
0 |
0 |
0 |
0 |
Martha C Turner (P) |
01/17-05/04 |
TBA TBA |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
14822 |
SPED |
4380 |
002 |
24M |
3.000 |
Collaboration and Consultation |
|
TBA |
8 |
10 |
-2 |
20 |
23 |
-3 |
Zafrullah Khan (P) |
01/17-05/04 |
TBA TBA |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
01/20-01/20 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
01/21-01/21 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
02/24-02/24 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
02/25-02/25 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
04/21-04/21 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
04/22-04/22 |
COE 153 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| C |
12441 |
SPED |
4720 |
001 |
24M |
3.000 |
Promoting Culture and Diversity in Family-Professional Partnerships |
T |
04:30 pm-07:30 pm |
20 |
21 |
-1 |
24 |
26 |
-2 |
Thomas Lea Black (P), Brianna Lynn Heckert |
01/17-05/04 |
BAS S278 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
16153 |
SPED |
5260 |
001 |
24M |
3.000 |
Problems in Special Education A-Z |
|
TBA |
3 |
2 |
1 |
0 |
0 |
0 |
Zafrullah Khan (P) |
01/17-05/04 |
TBA TBA |
College of Educ Course Fee |
| C |
16318 |
SPED |
5260 |
002 |
24M |
3.000 |
Problems in Special Education A-Z |
|
TBA |
1 |
1 |
0 |
0 |
0 |
0 |
Thomas Lea Black (P) |
01/17-05/04 |
TBA TBA |
College of Educ Course Fee |
| C |
17280 |
SPED |
5280 |
D03 |
24M |
3.000 |
Assistive Technology in Special Education |
|
TBA |
5 |
5 |
0 |
24 |
24 |
0 |
Kimberly Sue Lilley (P) |
01/17-05/04 |
TBA TBA |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
01/25-01/25 |
COE 110 |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
02/15-02/15 |
COE 110 |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
03/01-03/01 |
COE 110 |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |
| |
|
|
|
|
|
|
|
W |
05:15 pm-09:15 pm |
|
|
|
|
|
|
Kimberly Sue Lilley (P) |
04/12-04/12 |
COE 110 |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |
| NR |
12252 |
SPED |
6360 |
001 |
24M |
3.000 |
Transition Education and Services for Exceptional Learners |
W |
04:30 pm-07:30 pm |
21 |
15 |
6 |
0 |
0 |
0 |
Zafrullah Khan (P), Kachina Cheyenne Rodden |
01/17-05/04 |
COE 150 |
College of Educ Course Fee |
| C |
14678 |
SPED |
6380 |
002 |
24M |
3.000 |
Collaborative and Consulting Skills in Special Education |
|
TBA |
12 |
13 |
-1 |
20 |
23 |
-3 |
Zafrullah Khan (P) |
01/17-05/04 |
TBA TBA |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
01/20-01/20 |
COE 153 |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
01/21-01/21 |
COE 153 |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
02/24-02/24 |
COE 153 |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
02/25-02/25 |
COE 153 |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
F |
04:00 pm-08:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
04/21-04/21 |
COE 153 |
College of Educ Course Fee |
| |
|
|
|
|
|
|
|
S |
08:00 am-04:00 pm |
|
|
|
|
|
|
Zafrullah Khan (P) |
04/22-04/22 |
COE 153 |
College of Educ Course Fee |
| NR |
14489 |
SPED |
6710 |
D01 |
24M |
3.000 |
Action Research in Special Education |
|
TBA |
20 |
14 |
6 |
0 |
0 |
0 |
Zafrullah Khan (P), Kachina Cheyenne Rodden |
01/17-05/04 |
TBA TBA |
Distance Learning and Distance Education Fee-GR |
| |
|
|
|
|
|
|
|
R |
05:15 pm-08:15 pm |
|
|
|
|
|
|
Zafrullah Khan (P), Kachina Cheyenne Rodden |
01/19-01/19 |
COE 150 |
Distance Learning and Distance Education Fee-GR |
| |
|
|
|
|
|
|
|
R |
05:15 pm-08:15 pm |
|
|
|
|
|
|
Zafrullah Khan (P), Kachina Cheyenne Rodden |
02/16-02/16 |
COE 150 |
Distance Learning and Distance Education Fee-GR |
| |
|
|
|
|
|
|
|
R |
05:15 pm-08:15 pm |
|
|
|
|
|
|
Zafrullah Khan (P), Kachina Cheyenne Rodden |
03/16-03/16 |
COE 150 |
Distance Learning and Distance Education Fee-GR |
| |
|
|
|
|
|
|
|
R |
05:15 pm-08:15 pm |
|
|
|
|
|
|
Zafrullah Khan (P), Kachina Cheyenne Rodden |
04/20-04/20 |
COE 150 |
Distance Learning and Distance Education Fee-GR |
| C |
12442 |
SPED |
6720 |
001 |
24M |
3.000 |
Promoting Family-Professional Partnerships in Special Education |
T |
04:30 pm-07:30 pm |
4 |
5 |
-1 |
24 |
26 |
-2 |
Thomas Lea Black (P) |
01/17-05/04 |
BAS S278 |
|
| C |
10143 |
SPED |
6800 |
D01 |
24M |
3.000 |
Exceptional Children and Youth |
|
TBA |
15 |
17 |
-2 |
0 |
0 |
0 |
Thomas Lea Black (P), Brianna Lynn Heckert |
01/17-05/04 |
TBA TBA |
Distance Learning and Distance Education Fee-GR and College of Educ Course Fee |


 Such resources may be inadvertently leaked if an exception is thrown before the
resource is closed.
Example:
void example() throws IOException { Connection c = Connector.open("foo"); }


--- layout: index title: About tagline: tags : [about, info] img : img-mobile : author : Marcin Koculak css: js: keywords: components, demo canonical: --- {% include JB/setup %}
Conscious experience is central to our existence, and although important advances have been made in our scientific understanding of the phenomenon, radically different theories are still debated within the field, and clinically, prognoses for disorders of consciousness can still be improved substantially. The main aim of this Action is examine the role of cortical neural architecture in consciousness from a basic science as well as a clinical perspective. This will be achieved in a joint effort aimed at building detailed neuroarchitectural models from different kinds of brain data and relating these to meticulously gathered behavioural data from healthy normal participants performing tasks associated with conscious perception/behaviour as well as to clinical data from patients with disorders of consciousness.
The relation between neural architecture and consciousness will be made using advanced statistical modelling, including machine learning. If the Action is successful, the resulting models can be compared to identify neuroarchitectural characteristics related to each consciousness phenomenon individually and to all phenomena. This can be used to form a tentative data driven neuroarchitectural model of consciousness. Furthermore, successfully reaching the clinical sub-aims can result in a substantial increase in the predictive accuracy of prognoses for disorders of consciousness. Accurate prognoses could have a substantial positive impact on the lives of patients and relatives, and they could facilitate clinical decisions regarding whether escalate or stop treatment.


Create your account
{% else %}Help identify priorities with this 5 minute survey
{% endif %}Start by creating your account. After your account is ready you can have a say in the Hoonah Native Forest Partnership priorities
{% else %}This short survey will help the Hoonah Native Forest Partnership understand how the community uses the forests and what the priorities are for management decisions. All personal information will be masked and only shared in aggregate with other users.
{% endif %}


assigned
by None at 2023-08-04 20:01:51.labeled
by None at 2023-08-04 20:30:31.assigned
by None at 2023-08-04 21:00:10.referenced
by None at 2023-08-04 22:04:01.referenced
by None at 2023-08-04 22:12:42.renamed
by None at 2023-08-04 22:02:43.renamed
by None at 2023-08-04 22:04:33.head_ref_force_pushed
by None at 2023-08-04 22:12:42.referenced
by Christina Chortaria at 2023-08-04 15:09:22.merged
by Christina Chortaria at 2023-08-04 15:09:22.closed
by Christina Chortaria at 2023-08-04 15:09:22.head_ref_deleted
by Christina Chortaria at 2023-08-04 15:09:23.Located!
closed
by Bess Sadler at 2023-08-04 14:02:56.assigned
by None at 2023-08-04 13:17:30.referenced
by None at 2023-08-04 17:53:36.@tpendragon Looking the selection, I can do the ocr set and pretty quickly strip the zeros and set the page viewing myself? for a handful of items, its probably faster to do in bulk edit and manually?
@kelea99 If you wanna do this manually have at it, don't let me stop ya.
mentioned
by Trey Pendragon at 2023-08-04 11:27:18.subscribed
by Trey Pendragon at 2023-08-04 11:27:18.mentioned
by Kim Leaman at 2023-08-04 16:56:15.subscribed
by Kim Leaman at 2023-08-04 16:56:15.related to https://github.com/pulibrary/princeton_ansible/issues/2227
deployed
by None at 2023-08-04 18:25:31.referenced
by Trey Pendragon at 2023-08-04 19:05:52.merged
by Trey Pendragon at 2023-08-04 19:05:52.closed
by Trey Pendragon at 2023-08-04 19:05:53.head_ref_deleted
by Trey Pendragon at 2023-08-04 19:05:54.assigned
by Eliot Jordan at 2023-08-04 18:11:34.closed
by Trey Pendragon at 2023-08-04 19:05:54.labeled
by Eliot Jordan at 2023-08-04 18:27:01.referenced
by Trey Pendragon at 2023-08-04 19:06:32.merged
by Trey Pendragon at 2023-08-04 19:06:32.closed
by Trey Pendragon at 2023-08-04 19:06:32.head_ref_deleted
by Trey Pendragon at 2023-08-04 19:06:32.closed
by Trey Pendragon at 2023-08-04 19:06:33.referenced
by Eliot Jordan at 2023-08-04 19:24:19.merged
by Eliot Jordan at 2023-08-04 19:24:19.closed
by Eliot Jordan at 2023-08-04 19:24:19.head_ref_deleted
by Eliot Jordan at 2023-08-04 19:24:20.I vote preserve as well.
assigned
by Eliot Jordan at 2023-08-04 18:33:48.closed
by Eliot Jordan at 2023-08-04 19:24:21.converting to draft -- probably shouldn't merge this until we've run it on staging.
@tpendragon do you think there's a way to get it to report how many rows it deleted?
@hackartisan You could add RETURNING 'id'
to the end of the delete query and then count the rows returned.
expect to see about 100 deletions on staging (query checking for duplicates noted in issue found 194 but each pair was in there twice).
convert_to_draft
by None at 2023-08-04 17:56:16.mentioned
by Trey Pendragon at 2023-08-04 18:02:11.subscribed
by Trey Pendragon at 2023-08-04 18:02:11.mentioned
by None at 2023-08-04 19:04:20.subscribed
by None at 2023-08-04 19:04:20.review_dismissed
by None at 2023-08-04 19:25:16.labeled
by None at 2023-08-04 19:54:17.I was thinking about this:
I think what we need is something which will go through every resource in the database (maybe excluding POs/Events), see if it should be preserved, validate it's preserved if so, fix it if not, and record the actions it took. Then we can look at the report and when that's empty can say "yup, done."
unlabeled
by Eliot Jordan at 2023-08-04 18:28:06.unassigned
by Eliot Jordan at 2023-08-04 19:58:27.coverage: 95.409% (+0.01%) from 95.399% when pulling 4330f3825fb959435200401361a6fa5d334390ad on i3645-numismatics-builtin-advanced into 656190e84785f4f29890eff24411f3e131e83488 on main.
head_ref_force_pushed
by Jane Sandberg at 2023-08-03 23:50:42.head_ref_force_pushed
by Jane Sandberg at 2023-08-03 23:52:50.head_ref_force_pushed
by Jane Sandberg at 2023-08-04 00:05:27.ready_for_review
by Jane Sandberg at 2023-08-04 00:05:31.meeting with vendor on Tuesday 8/8 for a round of testing.
There seem to be authorization issues when attempting to edit ServiceComponents
which I have already created (for a Service
which I have also created):
I am now currently able to successfully create ServiceComponents
which subscribe to alerts from Agents
:
assigned
by Bess Sadler at 2023-08-04 17:38:19.referenced
by Christina Chortaria at 2023-08-04 15:09:01.merged
by Christina Chortaria at 2023-08-04 15:09:01.closed
by Christina Chortaria at 2023-08-04 15:09:01.head_ref_deleted
by Christina Chortaria at 2023-08-04 15:09:02.Work in this branch: https://github.com/pulibrary/princeton_ansible/tree/i3898_ezproxy_templates
assigned
by Francis Kayiwa at 2023-08-04 13:50:39.referenced
by None at 2023-08-04 18:58:39.merged
by None at 2023-08-04 18:58:40.closed
by None at 2023-08-04 18:58:40.head_ref_deleted
by None at 2023-08-04 18:58:41.head_ref_force_pushed
by Francis Kayiwa at 2023-08-04 19:29:28.An expert from F5 showed me how to configure this correctly.
We just needed to delete the =500
, including the =
, and then any site config that uses errors.conf
(instead of <env>-maintenance.conf
) and has proxy_intercept_errors on;
in its location
definition will pass any error from the upstream server to the client.
I know @rlskoeser doesn't want to use this functionality on all sites, or possibly for all error codes. And I plan to create an option for this in the ansible template for nginx site configs. So there's more work to do to make this flexible. But now we understand how to do it!
mentioned
by Rebecca Sutton Koeser at 2023-08-04 22:11:41.subscribed
by Rebecca Sutton Koeser at 2023-08-04 22:11:41.By default NGINX responds with status code 503 Service Temporarily Unavailable
when a client exceeds its rate limit. I propose we configure it to use 429 Too Many Requests
. (Another options would be 413 Payload Too Large
.)
Partially addresses https://github.com/pulibrary/orangelight/issues/3638
review_requested
by Alicia Cozine at 2023-08-04 22:41:02.review_requested
by Alicia Cozine at 2023-08-04 22:41:30.head_ref_deleted
by Christina Chortaria at 2023-08-04 14:58:26.head_ref_deleted
by Christina Chortaria at 2023-08-04 14:58:28.head_ref_deleted
by Christina Chortaria at 2023-08-04 14:58:41.Dropdown menu has been fixed:
closed
by Bess Sadler at 2023-08-04 18:52:43.


--- layout: post status: publish published: true title: Removing the MSMQT adapter once installed author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 572 wordpress_url: http://winterdom.com/2005/03/removingthemsmqtadapteronceinstalled date: '2005-03-12 08:30:35 +0000' date_gmt: '2005-03-12 08:30:35 +0000' categories: - BizTalk tags: [] comments: [] ---
According to the BizTalk Server 2004 documentation, once you've installed the MSMQT adapter, it cannot be uninstalled. Try it, and you'll see the warning is correct. However, it does not mean it cannot be done.
As it turns out, the only reason that the adapter cannot be removed is because it is "Delete Protected", but this protection can be easily overriden. Here's how:
And that's it. After doing this, you should've been able to remove the MSMQT adapter. You're now free, for example, to install the recently released MSMQ adapter without having to go through the whole unconfigure/reconfigure cycle.
Do this at your own risk; I do not know of any possible side effects of doing this (although I haven't noticed any yet) as opposed to doing the unconfigure/configure.


Need a little more time? You can extend your server duration by
1 hour
without interruption to continue your session.
You have {{ extensions_max - server.extensions }} extension(s) remaining for this session.
{% if server.extensions == extensions_max %}
No extensions left!
{% else %}
You can extend again .
{% endif %}


This topic summarizes how to use Legato logging.
There's also some background info.
Legato creates log messages in LE_INFO() by default Only minimal info is reported, and only for the current app: essentially logs if the app is communicating. You need to modify default settings to enable monitoring for anything else.
There are two built-in features to control logging using the Logging Tool or Logging API. There are also App Crash Logs.
Access Logs
Run logread
on the target to view the system log.
Run logread -f
to start monitoring the logs and display messages as they are logged.
The installed app's output LE_INFO() log message will appear in the target's system log (syslog).
Logging Tool
The target log
tool is the easiest way to set logging controls. You can control what's being logged, filter levels, trace keywords, and processes all through the command-line in a running system.
Run log level INFO "processName/componentName"
to set the log level to INFO for the specified component in a process.
Run log trace "keyword" "processName/componentName"
to use a keyword trace.
See log for details.
Default syslog
By default, app processes will have their stdout
and stderr
redirected to the syslog
. Each process’s stdout will be logged at INFO severity level; it’s stderr will be logged at “ERR” severity level.
See Standard Out and Standard Error in Syslog for more info.
Logging API
The Logging API provides a toolkit to set error, warning, info, and debugging messages with macros and condition support including default environment variable controls that can be output to different devices and formats.
See Logging API for details.
Copyright (C) Sierra Wireless Inc. Use of this work is subject to license.


Eddie Jones: RFU yet to open talks on extension beyond 2021
England coach Eddie Jones, whose Rugby World Cup campaign ended in final defeat on Saturday, has not started negotiations over a new contract.
The 59-year-old's current deal, signed in November 2018, ends in August 2021.
"Not formal negotiations no," said Rugby Football Union chief executive Bill Sweeney told BBC Sport when asked if talks has begun.
"We just need to wait for the dust to settle - it needs to work for both sides."
Jones started work with England in January 2016 on an initial deal that ran to the end of Japan 2019. In December 2016, he said he would step down after that World Cup, saying four years was "enough" in the "emotionally draining" post.
However he was convinced to extend his terms for another couple of years, with Sweeney's predecessor Steve Brown intending to appoint a new head coach at the end of the 2019-20 season, who would work alongside Jones for a year before taking sole charge in the run-up to France 2023.
Jones has been linked with a return to his native Australia, who have a vacancy after Michael Cheika confirmed that he would leave the role after losing to Jones' England in the World Cup quarter-finals. Jones led the Wallabies to the World Cup final in 2003 but was sacked two years later after a run of eight defeats in nine matches.
| Jones' record with England | ||||
|---|---|---|---|---|
| Tests | Wins | Losses | Draws | Winning percentage |
| 50 | 39 | 10 | 1 | 78% |
"There's no reason why I won't be coaching the Wallabies again. And that is my intention," said Jones at the time.
"I want to become a better coach and coach the Wallabies again. It's the greatest honour and privilege you can have."
However he told the Sydney Morning Herald in April, that he would now prefer to remain in Europe, possibly coaching a lower-profile nation such as Germany or Georgia.
He has also been linked with the Fiji role and a return to Japanese club rugby where he has worked with Suntory Sungoliath in the past.
"We've had conversations prior to coming here and while here," said Sweeney about the possibility of tying Jones down to lead England into the next World Cup,
"I trust Eddie when he gives his word on something he doesn't do that lightly so he is committed to fulfilling his contract to 2021.
"We have our sights set on France as well so we'd want to make the right decision for that and it needs to work for him as well."
England scrum coach Neal Hatley is returning to Premiership side Bath while forwards coach Steve Borthwick is lined up for a senior role with Leicester.
However defence coach John Mitchell, like Jones, has a contract in place until 2021 and Sweeney says possible replacements for Hatley and Borthwick are already planned out.
"Even before coming to Japan Eddie started thinking about the next squad of coaches," he added. "There are a number in the frame that he has got lined up for the Six Nations, so we are about as prepared as we could be."


WDRC Plotter is here:
https://tympan.github.io/Tympan_Library/WDRC_Plotter.html
with a version that is maybe better for mobile
here
:


We bring sponsorships and organizes
PC/Mobile tournaments and custom
games on regular basis and stream
them on our official youtube
channel. We provide coaching in
various games by experienced
players.
We bring brand collaborations for
influencers and helps them out with
new marketing strategies.
DER is Digital Entertainment Revolution which aims to boost the eSports era in India via tournaments, sponsorships, influencer marketing. We provide a equal opportunity to all kind of gamers to grow which makes us unique. We provide a safe space for each and every gamer to connect with each other. We provide sponsorships to influencers so that they can easily work in their field without any financial problems.
We at DER, organises tournaments of various mobile games like BGMI, FreeFire and CODM etc. We creates opportunities for many underdogs to get recognition.
We also organises various tournaments for PC games like Valorant, CSGO etc. PC gamers haven't been that famous as compared to Mobile gamers but our motive is to bring both on the same level.
Many good content creators lack proper setup. DER brings sponsorships to every type of content creators so that they can work in the field they like the most without any financial problem.
We at DER provides a best platform for content creators to connect with there followers for a 1 to 1 talk and helps them out to increase there followers interaction and there channel's impressions.
DER aims to provide opportunities to underdog teams of every game to achieve their goals in eSports arena. We also provides online video courses for each game created by professionals just for eSports enthusiasts.
If you want to know more about Digital Entertainment Revolution then feel free to call us at +91-9667525010
Call To ActionHappy Clients
Projects
Hours Of Support
Hard Workers
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Contact Us
New-Delhi, India
<EMAIL_ADDRESS>+91-9667525010


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company
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HOME
HW Submission Page
NetId:
Password (Submission Key) :
Select homework :
{% for hw in homeworks %}
{{hw.homework_name}}
{% endfor %}
Upload homework:
submit


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We prepare students to excel in their courses through teaching them the tools and fundementals in micro-classes.
Prep 4 Class is launching our pilot program in May 2020. This will be a 6 weeks program running every Saturday from May 2, 2020 to June 6 2020. This will be an intensive program that takes each student through the fundementals of each unit that will be covered in Grade 11 Physics University Prep. After each class, each student will be
Our program will require students to commit 3 hours per week, 2 in class hours and 1 hour at home. Each 2 hour weekly session will culminate in a topic summary (cheat sheet) that they will keep for their coming school year to held them excel in each topic. Each student will also be assigned a take home test to be completed prior to the next session. A walkthrough for the take home test will be distributed electronically to the students on the following Tueday night.
Some message about tutoring:


Press any key to get started!
Wins:
Losses:
Current Word:
Number of guesses remaining:
Letters already guessed:


To view the results files of a local optimization job, open the <organizationWorkspace> / <projectName> / optimizations / <optimizationName> directory. The following table describes the initial contents of the optimization result directories:
| File/Directory | Description |
|---|---|
| code / | A directory containing a copy of the files that were in the project when you ran the optimization. |
|
<backtestId> /
Ex: 1c5b8eff-89c0-432f-98c7-60b73265b188 / |
A directory containing the backtest result files for one of the backtest in the optimization job. There is separate directory for each backtest in the optimization job. |
| log.txt | A file containing the syslog. |
| config | A file containing some configuration settings, including the optimization Id, Docker container name, and optimization name. |
| optimizer-config.json | A file containing some configuration settings, including the parameters, strategy, and constrains. |
|
optimization-result-<optimizationId>.json
Ex: optimization-result-2455523408.json |
A file containing additional results, including runtime statistics. |


Send logs to a centralized log server.
Sending logs to a centralized log server makes it simpler to secure and monitor logs on a network with multiple log-generating devices.
Use the following steps to implement sending logs to a centralized log server:
Design the logging subsystem. Design and implement a class or library specifically for logging. When designing the logging subsystem, consider sending logs to a remote log server. Consider the following factors when designing the logging subsystem:
Choose a protocol for communicating with the log server. The Internet standard for sending logs remotely is syslogd (RFC 5424). It is recommended to use syslogd, because it is supported by most centralized logging solutions, such as commercial IDS and IPS systems.
Implement the logging subsystem. Write code that generates log entries and sends them to a remote log server via your protocol of choice.


All Classes
BasicAuthenticationSecurityConfiguration
Character
CharactersController
CharactersControllerTest
CharactersRepository
CharactersResponse
FireEmblemAPIApplication
FireEmblemAPIApplicationTest
MavenWrapperDownloader
SwaggerConfiguration
VoiceActors


MediaEval Philosophy
MediaEval is a benchmark and provides standardized task descriptions, data sets, and evaluation procedures. Benchmarks make possible systematic comparison of the performance of different approaches to problems of retrieving or analyzing multimedia content. MediaEval promotes the benefits that arise from methodical comparison: identification of state-of-the-art algorithms and promotion of research progress.
MediaEval pursues its objective of offering a benchmark to the multimedia research community within a broader philosophy that emphasizes understanding. Specifically, we seek to transcend conventional benchmarks by striving to gain qualitative insight about our data, our evaluation metrics, our ground truth or evaluation procedure, and the fundamental nature of the challenges that our tasks represent.
Targeting such insight helps us to avoid devoting a disproportionate amount of attention to tasks for which performance is easy or obvious to measure using conventional quantitative metrics. It also encourages the researchers who participate in the benchmark to take leaps of innovation that may not pay off in the short run, but are promising in the long run. We try to identify and appreciate the value of innovative ideas before they are well developed enough to improve metrics and to prevent promising, but still immature, approaches from being abandoned prematurely.
MediaEval expresses the importantance that it places on understanding with MediaEval Distinctive Mentions (MDMs). Each year, the organizers of the tasks single out participating team that have gone beyond solving the task to making a further contribution. Recipients of MDMs are teams that stand out because their approach to the MediaEval task was highly innovative and/or delivered important insight with potential for the future. Teams that receive MDMs are not necessarily those teams that scored at the top of the task ranking/leaderboard.
From 2013-2019, MDMs were informal and announced at the workshop but not otherwise publicized. Starting 2020, we are publishing the MDMs online (see list below). (Note: The task rankings can be found in the workshop overview presentations of the individual tasks.)
In 2022, MediaEval introduced the Quest for Insight, which encourages explicit discussion of how participants can explore tasks in a way that goes beyond exclusive focus on the evaluation metric. We hope that the Quest for Insight will lead to many inspiring MDMs moving forward.
MediaEval Distinctive Mentions (MDMs)
These are the distinctive mentions awarded at MediaEval.
2021
The papers, videos, and presentations have not yet been published. We will update the details as they become available.
To Omar Meriwani (Real Sciences)
- For: For his creativity on taking one step-forward using the task data and exploring other approaches.
- From: The organizers of Emerging News task
To Hao Hao Tan (team Mirable)
- For: Showing the value of additional input representations describing tonality
- From: The Organizers of Emotions and Themes in Music Task
To Cláudio, Rui, and David (Team NewsSeek-NOVA)
- For: Teaching a Transformer to Recognize Faces
- From: The Organizers of the News Images Task
To SELAB-HCMUS
- For: Amount of effort and diverse out-of box approaches is testament to the fact that they achieved best results
- From: Organizers of the task: Visual Sentiment Analysis: A Natural Disaster Use-case
To Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti and Raphaël Troncy (team D2KLab)
- For: For the best task results achieved via effective ensembling a swarm of transformer-based models
- From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task
To Thomas Girault, Cheikh Brahim El Vaigh, Cyrielle Mallart and Duc Hau Nguyen (team Deltamap)
- For: For the successful use of the prompt-based learning NLP paradigm on top of toxicity trained-model
- From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task
To Zeynep Pehlivan (team FakeINA)
- For: For the fresh look at the task and successful solving pure NLP task in GNN domain
- From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task
To Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, and Ala Al-Fuqaha (CSEI team)
- For: Their idea to translate Italian tweets with positive label to English and then back to Italian to increase and balance the dataset
- From: Organizers of the task WaterMM: Water Quality in Social Multimedia
To Yijun Qian, Lijun Yu, Wenhe Liu and Alexander Hauptmann
- For: Their ablation method, quality paper and top rank in the task
- From: Organizers of the Sports Video task
To Alison Reboud, Ismail Harrando, Jorma Laaksonen and Raphaël Troncy
- For: For exploring interesting concepts such as perplexity and achieving top scores in a number of subtasks.
- From: Organizers of the task: Predicting Media Memorability
To Ali Akbar, Muhammad Atif Tahir, Muhammad Rafi
- For: Their detailed preprocessing and validation steps, taking risk to attempt all three subtasks, and top ranking in the task.
- From: Organizers of the task: Insight for Wellbeing: Cross-Data Analytics for (transboundary) Haze Prediction
To Andrea Storås (SimulaMet)
- For: For her unique submission on generating segmentation masks unsupervised.
- From: Organizers of the task: Medico: Transparency in Medical Image Segmentation
To Felicia Ly Jacobsen (University of Oslo)
- For: For making her submission more transparent by measuring uncertainty in the predicted segmentation masks.
- From: Organizers of the task: Medico: Transparency in Medical Image Segmentation
2020
To SAIL-MiM-USC
- For: Using different loss functions to overcome the dataset imbalance and showing importance of optimization.
- From: Emotions and Themes in Music Task organizers
- Paper: MediaEval 2020 Emotion and Theme Recognition in Music Task: Loss Function Approaches for Multi-label Music Tagging
- Presentation: SlideShare link
- Video: YouTube link
To Linkmedia
- For: Their overall performance in both text and graph classification by using artificial examples and user reputation.
- From: FakeNews Task organizers
- Paper: Detecting Fake News in Tweets from Text and Propagation Graph: IRISA’s Participation to the FakeNews Task at MediaEval 2020
- Video: YouTube link
To MG-UCB
- For: Their creative graph sampling approach exploring retweet cascade properties in small subgraphs.
- From: FakeNews Task organizers
- Paper: Detecting Conspiracy Theories from Tweets: Textual and Structural Approaches
To DL-TXST
- For: Their implementation of auxiliary optical character recognition for text classification and creation of website with an overview of task-related information and resources.
- From: FakeNews Task organizers
- Paper: Enriching Content Analysis of Tweets Using Community Discovery Graph Analysis
- Video: YouTube link
To FIG
- For: For using only textual information and for tackling class imbalance with random undersampling instead of oversampling.
- From: Flood-related Multimedia organizers
- Paper: A Tweet Text Binary Artificial Neural Network Classifier
To FAST-NU-DS
- For: For using fused textual and visual information and for ensembling different classifiers.
- From: Flood-related Multimedia organizers
- Paper: An Ensemble Based Method for the Classification of Flooding Event Using Social Media Data
- Presentation: SlideShare link
- Video: YouTube link
To AISIA
- For: Their overall scores and the best utilization of lifelog data characteristics.
- From: Insight for Wellbeing Task organizers
- Paper: A2QI: An Approach for Air Pollution Estimation in MediaEval 2020
- Presentation: SlideShare link
- Video: YouTube link
To QHL-UIT
- For: Their simple but efficient approach for capturing spatio-temporal-concept correlation of cross-data.
- From: Insight for Wellbeing Task organizers
- Paper: Insights for Wellbeing: Predicting Personal Air Quality Index Using Regression Approach
To AI-JMU
- For: Not only showing where their method succeeded, but also showing where it failed.
- From: Medico Task Organizers
- Paper: Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation
To All Medico Participants
- For: Making this the biggest year for Medico despite this year’s challenges and it being online.
- From: Medico Task Organizers
To DCU-Audio
- For: Their overall performance and the use of Memento dataset as external data.
- From: Predicting Media Memorability Task organisers
- Paper: Leveraging Audio Gestalt to Predict Media Memorability
- Video: YouTube link
To MG-UCB
- For: Their good results and their use of multiple sources (audio, text, visual) in their approach.
- From: Predicting Media Memorability Task organisers
- Paper: Multi-Modal Ensemble Models for Predicting Video Memorability
- Video: YouTube link
To HCMUS_Team
- For: Their novel approach to achieving both the adversarial effects and image enhancement in an end-to-end manner by optimizing an image-to-image translation model.
- From: Pixel Privacy Task Organizers
- Paper: HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement
To Linkmedia
- For: Their novel attempt to specifically address the JPEG compression by quantization in the DCT domain.
- From: Pixel Privacy Task Organizers
- Paper: Fooling an Automatic Image Quality Estimator
To iCV-UT
- For: Their proposed cascade method based on stroke decomposition for their classification.
- From: Sports Video Classification Task organizers
- Paper: Spatio-Temporal Based Table Tennis Hit Assessment Using LSTM Algorithm
To Toyohashi University of Technology
- For: Their ablation study on stroke classification using different sources of information.
- From: Sports Video Classification Task organizers
- Paper: Leveraging Human Pose Estimation Model for Stroke Classification in Table Tennis


Data prepossessing¶
Raw Data processing¶
- Raw data processing merges home load data together with associated solar data and seprated them by home id. Output files are saved as data_by_home/processed_hhdata_<home id>.csv
- Fill missing data will fill any missing data for a year by filling the gap by last available value.
Physical Model¶
- Generate ac power is a converter uses pvlib to calulate the ac power of solar output, it will add add one more new column to the data file including the power values.
- Add history will match data for each time slot with its history data of previous time slot and data one week before, these data can be used as features for prediction.
Data Driven Model¶
- GHI model figure and HL model figure compare differnt models for predicting ac power and home load and generate a plot showing the nRMSE of different models.
- GHI model and HL model train the best models for all homes predicting ac output and homeload. The trainted models are saved so that it can be used repeatly without training again.
- Get preidct data call the saved models from last step and saved pridicted home load and ac output for each home. It merges the predcit two values with other features of states and save the output as predicted_data/predicted_hhdata_<home id>.csv.


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{# Similar to "localtoc.html" but without a link in the heading so that the color of the heading matches other headings in the sidebar. #} {%- if display_toc %}


This document lists some frequently asked questions about the SOAP Version 1.2 specifications and provides answers to those questions. For more information about SOAP Version 1.2, see the Working Group Home Page.
SOAP Version 1.2 is a messaging framework with a set of extensions. The specification is in three distinct documents:
The SOAP Version 1.2 Implementation Report has a list of implementors known to the XML Protocol Working Group, as well as a status of their implementation. The list is not exhaustive.
The SOAP Version 1.2 Primer gives a good introduction to SOAP 1.2, and is recommended reading.
SOAP Version 1.2 is based on a layered and extensible model.
For more technical details, the SOAP Version 1.2 Part 0 (Primer) has a complete list of changes from SOAP/1.1 to SOAP Version 1.2
SOAP Version 1.2 provides more - and proven - interoperability, support for Web standards, and an easier way to extend and update your applications. It also allows you to define applications that can scale better through a more effective use of Web infrastructure - namely with the option of using the HTTP binding. For a more complete reply, see From SOAP/1.1 to SOAP Version 1.2 in 9 points.
You should see the SOAP Version 1.2 Specification Assertions and Test Collection, and contact the implementers listed in the implementation report to set up tests.
An application is as secure as its design is. SOAP Version 1.2 may use some security features, but in the end, like in all current distributed applications, it is up to the application itself to take care of security (buffer overflow, denial of services...)
Yes, SOAP 1.2 is not dependent on WSDL (Web Services Description Language). There are many interesting situations in which SOAP can be used without WSDL. Indeed, early adopters of SOAP used it for many months before languages similar to WSDL became available.
WSDL is used primarily as a means of documenting, in machine readable form, the details of particular SOAP-based protocols. Many WSDL-enabled tools can use these descriptions to help you build SOAP applications. Without WSDL, you may have to tailor more of your code by hand.
Several options are available:
SOAP Version 1.2 has provisions for internationalization, including the ability to provide multiple error messages in different languages, encodings, character sets. Applications themselves still have to be internationalized, but that is a separate matter. SOAP Version 1.2 itself puts no restriction to a particular language.
One of the goals of SOAP Version 1.2 was to develop a clean way to change the underlying transport. Part 2 Adjuncts defines a rather complete mapping to HTTP, but you can define your own mapping to whatever protocol, using the SOAP Protocol Binding Framework defined in Part 1, Section 4.
Yes, but not directly. The client application will be notified that the current version being used is SOAP Version 1.2. The client application may switch to SOAP Version 1.2 for subsequent requests. See Part 1, Section 5.4.7


{% extends 'layout.html' %} {% block content %}
TinyWiki should work straight off without an issue, but if you're stuck, here's some pointers
We use Markdown. Here's the syntax
It's file based. No users
You cannot have any pages named as follows
While nothing will break, you will only be able to edit and never ever view these pages
Sorry :(
We have apps
This means nice apps which use TinyWiki's infrastructure to work properly
We've got a couple
Try making a new page with the text [app todo]
and view it
Apps pre-installed:
Awesome. Just add yourappname.js
to the lib/app folder
Then add a page with [app yourappname]
Then write your JS file. We have jQuery already loaded (no UI)
Some things to note though:
#appData
contains the file contents of the file you wrote. Store your data here#appArea
is where you should store the DOM to your app (not required, but it's for neatness)#appData
with the file to replace, call saveContents()
and the system will manage it allshowLB("html string here");
and get rid of it with hideLB();


--- layout: 2016_default permalink: /2016/about title: About the Conference ---
Your Theme
Your Vision
Your Mission


Residents want Ohio to allow them to decide on wind farms
by EndPlayTOLEDO, Ohio (AP) - A group of residents opposed to wind farms in northern Ohio want state lawmakers to give them a chance at the ballot box to block new turbines from being built near their homes.
Legislation being debated in Columbus would allow township residents to circulate petitions for voter referendums on decisions made by a state board that regulates wind farm sites.
Current law allows the Ohio Power Siting Board's rulings to override local zoning regulations.
Residents testified before an Ohio House energy committee this week, The Blade reported.
"By giving the right of referendum to impacted voters, the people can decide when enough is enough," said Walt Poffenbaugh, of Huron County.
Proposed wind farm projects and those that are already operating have generated skirmishes across northern Ohio. The legislation would apply to wind farms only and would not allow referendums on the locations of solar fields, pipelines or natural gas wells.
Miranda Leppla, of the Ohio Environmental Council, said Ohio risks falling behind neighboring states that are embracing a diverse number of renewable energy sources.
"Ohio should be attracting the economic and environmental benefits that wind energy can bring, not putting up more barriers to developing projects in our state," she said.


Schema
@Documented @Retention(value=RUNTIME) @Deprecated public @interface Schema
| Modifier and Type | Optional Element and Description |
|---|---|
String[] |
_default
Deprecated.
|
String[] |
_enum
Deprecated.
|
String |
$ref
Deprecated.
|
String[] |
additionalProperties
Deprecated.
|
String[] |
allOf
Deprecated.
|
String |
collectionFormat
Deprecated.
|
String[] |
description
Deprecated.
|
String |
discriminator
Deprecated.
|
String[] |
example
Deprecated.
|
String[] |
examples
Deprecated.
|
boolean |
exclusiveMaximum
Deprecated.
|
boolean |
exclusiveMinimum
Deprecated.
|
ExternalDocs |
externalDocs
Deprecated.
|
String |
format
Deprecated.
|
boolean |
ignore
Deprecated.
Specifies that schema information for this part should not be shown in the generated Swagger documentation.
|
Items |
items
Deprecated.
|
String |
maximum
Deprecated.
|
long |
maxItems
Deprecated.
|
long |
maxLength
Deprecated.
|
long |
maxProperties
Deprecated.
|
String |
minimum
Deprecated.
|
long |
minItems
Deprecated.
|
long |
minLength
Deprecated.
|
long |
minProperties
Deprecated.
|
String |
multipleOf
Deprecated.
|
String |
pattern
Deprecated.
|
String[] |
properties
Deprecated.
|
boolean |
readOnly
Deprecated.
|
boolean |
required
Deprecated.
|
String |
title
Deprecated.
|
String |
type
Deprecated.
|
boolean |
uniqueItems
Deprecated.
|
String[] |
value
Deprecated.
Free-form value for the Swagger Schema Object.
|
String[] |
xml
Deprecated.
|
public abstract String $ref
A JSON reference to the schema definition.
public abstract String format
public abstract String title
public abstract String[] description
A brief description of the body. This could contain examples of use.
public abstract String[] _default
public abstract String multipleOf
public abstract String maximum
public abstract boolean exclusiveMaximum
public abstract String minimum
public abstract boolean exclusiveMinimum
public abstract long maxLength
public abstract long minLength
public abstract String pattern
public abstract long maxItems
public abstract long minItems
public abstract boolean uniqueItems
public abstract long maxProperties
public abstract long minProperties
public abstract boolean required
Determines whether this parameter is mandatory.
The property MAY be included and its default value is false.
public abstract String[] _enum
public abstract String type
public abstract Items items
public abstract String collectionFormat
Note that this field isn't part of the Swagger 2.0 specification, but the specification does not specify how items are supposed to be represented.
Determines the format of the array if type
Can only be used if type
is
Possible values are:
Static strings are defined in CollectionFormatType
.
Note that for collections/arrays parameters with POJO element types, the input is broken into a string array before being converted into POJO elements.
public abstract String[] allOf
public abstract String[] properties
public abstract String[] additionalProperties
public abstract String discriminator
public abstract boolean readOnly
public abstract String[] xml
public abstract ExternalDocs externalDocs
public abstract String[] example
A free-form property to include an example of an instance for this schema.
This attribute defines a JSON representation of the body value that is used by BasicRestInfoProvider
to construct
media-type-based examples of the body of the request.
public abstract String[] examples
This is a JSON object whose keys are media types and values are string representations of that value.
public abstract boolean ignore
public abstract String[] value
This is a JSON object that makes up the swagger information for this field.
The following are completely equivalent ways of defining the swagger description of a Schema object:
The reasons why you may want to use this field include:
{ }
characters are optional.
Copyright © 2018 Apache. All rights reserved.


|
MeshResource
1.0
Simple tools to represent an object on the GPU.
|
Class to create a mesh on the GPU, as well as to hold buffer handles which enables binding. More...
#include <mesh.h>
Public Member Functions | |
| MeshResource () | |
| Creates an empty MeshResource object. More... | |
| MeshResource (Vertex *vertexList, int vertexCount, unsigned int *indexList, int indexCount) | |
| Creates a new MeshResource instance with the specified vertex and index lists. More... | |
| void | Bind () |
| Binds Vertex Array Object and Index Buffer to prepare OpenGL for drawing this mesh. More... | |
| void | UpdateVertexBuffer (Vertex *vertexList) |
| Pushes a new vertex list (of the same size) to the Vertex Buffer. More... | |
| void | Draw (const unsigned int shader) |
| Shortcut for instantly drawing this mesh with the current settings. More... | |
Class to create a mesh on the GPU, as well as to hold buffer handles which enables binding.
| efiilj::MeshResource::MeshResource | ( | ) |
Creates an empty MeshResource object.
| efiilj::MeshResource::MeshResource | ( | Vertex * | vertexList, |
| int | vertexCount, | ||
| unsigned int * | indexList, | ||
| int | indexCount | ||
| ) |
Creates a new MeshResource instance with the specified vertex and index lists.
| vertexList | List of vertices to buffer |
| vertexCount | Size of the vertex list |
| indexList | List of indices to buffer |
| indexCount | Size of the index list |
| void efiilj::MeshResource::Bind | ( | ) |
Binds Vertex Array Object and Index Buffer to prepare OpenGL for drawing this mesh.
| void efiilj::MeshResource::Draw | ( | const unsigned int | shader | ) |
Shortcut for instantly drawing this mesh with the current settings.
| shader | The shader program id to use for drawing |
| void efiilj::MeshResource::UpdateVertexBuffer | ( | Vertex * | vertexList | ) |
Pushes a new vertex list (of the same size) to the Vertex Buffer.
| vertexList | The updated vertex list |


DBILOGSTRIP
Section: User Contributed Perl Documentation (1)Updated: 2010-08-20
Index Return to Main Contents
NAME
dbilogstrip - filter to normalize DBI trace logs for diff'ingSYNOPSIS
Read DBI trace file "dbitrace.log" and write out a stripped version to "dbitrace_stripped.log"
dbilogstrip dbitrace.log > dbitrace_stripped.log
Run "yourscript.pl" twice, each with different sets of arguments, with DBI_TRACE enabled. Filter the output and trace through "dbilogstrip" into a separate file for each run. Then compare using diff. (This example assumes you're using a standard shell.)
DBI_TRACE=2 perl yourscript.pl ...args1... 2>&1 | dbilogstrip > dbitrace1.log DBI_TRACE=2 perl yourscript.pl ...args2... 2>&1 | dbilogstrip > dbitrace2.log diff -u dbitrace1.log dbitrace2.log
DESCRIPTION
Replaces any hex addresses, e.g, 0x128f72ce with "0xN".Replaces any references to process id or thread id, like "pid#6254" with "pidN".
So a DBI trace line like this:
-> STORE for DBD::DBM::st (DBI::st=HASH(0x19162a0)~0x191f9c8 'f_params' ARRAY(0x1922018)) thr#1800400
will look like this:
-> STORE for DBD::DBM::st (DBI::st=HASH(0xN)~0xN 'f_params' ARRAY(0xN)) thrN
Index
This document was created by man2html, using the manual pages.
Time: 05:29:02 GMT, December 24, 2015


Guess who's coming to lunch? Pope hosts meal for 1,500 needy people
VATICAN CITY (Reuters) - Pope Francis hosted 1,500 homeless and needy people for lunch on Sunday as the Roman Catholic Church marked its World Day of the Poor.
The menu for all in the Vatican’s large audience hall, including the pope, was lasagna, chicken in cream of mushroom sauce, potatoes, sweets, fruit, and coffee.
The pope’s guests were brought to the Vatican by volunteers of charity groups who help them daily.
All last week, a mobile clinic was set up in St. Peter’s Square where volunteer doctors have been giving the poor free specialist health care. General care is available year-round nearby, another of Francis’ initiatives.
Earlier, at a Mass for Rome’s needy in St. Peter’s Square, Francis said those better off should not feel “annoyed” by the poor but help them as much as possible.
He said they should ask themselves: “Do I, a Christian, have at least one poor person as a friend?”
Francis established the yearly worldwide Catholic observance of the day in 2016.