Result merger refers to merging multi-data result set acquired from all the data nodes as one result set and returning it to the request end rightly.
In function, the result merger supported by ShardingSphere can be divided into iteration, order-by, group-by, pagination and aggregation these five kinds, which are in composition relation rather than clash relation. In structure, it can be divided into stream merger, memory merger and decorator merger, in which stream merger and the memory merger clash with each other, and the decorator merger can be further processed based on stream merger and memory merger.
Able to reduce the memory consumption to a large extend, the most prior choice of merger method is to follow the database returned result set, since the result set is returned from database line by line, instead of loading all the data to the memory at one time.
Stream merger means, each time, the data acquired from the result set is able to return the single piece of right data line by line. It is the most suitable one for the original result set return method of the database. Iteration, order-by, and stream group-by all belong to the range of stream merger.
Memory merger needs to iterate all the data in the result set and store it in the memory first; after unified grouping, ordering, aggregation and other computations, then pack it into data result set which is visited line by line and return that.
Decorator merger merges and reinforces all the result sets function uniformly. Currently, decorator merger has pagination merger and aggregation merger these two kinds.
As the simplest merger method, iteration merger requires only the combination of multiple data result sets into a sing direction chain table. After iterating current data result sets in the chain table, it only needs to move the element of chain table to the next position and iterate the next data result set.
For the existence of ORDER BY
sentence in SQL, each data result has its own order, so ordering the data value currently pointed by cursors in the result set is enough.
It is equal to sequencing multiple ordered arrays, and therefore, order-by merger is the most suitable ordering algorithm in this situation.
When merging order inquiries, ShardingSphere will compare current data values of each result set, which is realized by Comparable interface of Java, and put them into the priority queue. Each time when acquiring the next piece of data, it only needs to move down the result set in the top end of the line, renter the priority order according to the new cursor and relocate its own position.
Here is an instance to explain the order-by merger of ShardingSphere. The following is an example diagram of ordering by the score. Data result sets returned by 3 diagrams are shown in the example, and each one of them has already been ordered according to the score, but there is no order between 3 data result sets. When ordering the data value currently pointed by cursors in these 3 result sets and putting them into the priority queue, the data value of t_score_0 is the biggest, followed by that of t_score_2 and t_score_1 in sequence. Thus, the priority queue is ordered by the sequence of t_score_0, t_score_2 and t_score_1.
This diagram illustrates how the order-by merger works when using next invocation. We can see from the diagram that when using next invocation, t_score_0 at the first of the queue will be popped out. After returning the data value currently pointed by the cursor, i.e., 100, to the client end, the cursor will be moved down and t_score_0 will be put back to the queue. While the priority queue will also be ordered according to the t_score_0 data value (90 here) pointed by the cursor of current data result set. According to the current value, t_score_0 is at the last of the queue, and in the second place of the queue formerly, the data result set of t_score_2, automatically moves to the first place of the queue.
In the second use of next, t_score_2 in the first position is popped out of the queue. Its value pointed by the cursor of the data result set is returned to the client end, with its cursor moved down to rejoin the queue, and the following will be in the same way. If there is no data in the result set, it will not rejoin the queue.
It can be seen that, under the circumstance that single data result set is ordered while multiple data result set is disordered, ShardingSphere does not need to upload all the data to the memory to order. By the order-by merger method, each next only acquires one right piece of data each time, so the memory consumption can be saved to a large extent.
On the other hand, the order-by merger of ShardingSphere has its order on horizontal axis and vertical axis that maintains the data result set.
Naturally ordered, vertical axis refers to each data result set itself, which is acquired by SQL that contains ORDER BY
.
Horizontal axis refers to the current value pointed by each data result set, and its order needs to be maintained by the priority queue.
Each moving down of the current cursor of data result set requires to put it in the priority order again, which means the operation of cursor moving down can only happen when the data result set is in the first place of the queue.
With the most complicated situation, group-by merger can be divided into stream group-by merger and memory group-by merger. Stream group-by merger requires the field and order type (ASC or DESC) of SQL order item and group-by item to be consistent. Otherwise, its data accuracy can only be maintained by memory merger.
For instance, suppose the sheet structure is divided according to the subject, and each sheet contains each examinee’s name (to simplify, the same name is not taken into consideration) and score. The SQL used to acquire each examinee’s total score is as follow:
SELECT name, SUM(score) FROM t_score GROUP BY name ORDER BY name;
When order-by item and group-by item are totally consistent, the data obtained are continuous. For the data needed to group are all stored in the data value currently pointed by cursors of each data result set, stream group-by merger can be used, as illustrated by the diagram:
The merging logic will be similar as that of order-by merger. The following picture shows how stream group-by merger works when using next invocation.
We can see from the picture, in the first next invocation, t_score_java in the first position, along with the data having the grouping value of “Jetty” in other result sets, will be popped out of the queue. After acquiring all the students’ scores with the name of “Jetty”, the accumulation operation will be proceeded. Hence, after the first next invocation is finished, the result set acquired is the sum of Jetty’s scores. In the same time, all the cursors in data result sets will be moved down to the next different data value of “Jetty”, and rearranged according to the value currently pointed by cursors of the result set. Thus, the data that contains the second-place name “John” will be put at the beginning of the queue.
Stream group-by merger is different from order-by merger only in two points:
For the dis-conformation between the grouping item and the order item, it requires to upload all the result set data to the memory to group and aggregate, since the relevant data value needed to acquire grouping information is not continuous, and stream merger is not able to use. For example, if acquiring each examinee’s total score through the following SQL and ordering them from the highest to the lowest:
SELECT name, SUM(score) FROM t_score GROUP BY name ORDER BY score DESC;
Then, stream merger is not able to use, for the data taken out from each data result set is the same as the original data of the diagram ordered by score in the upper half part structure.
When there is only SQL contained in the group-by sentence, according to the realization of different databases, its order may not be the same as the grouping order. The lack of ordering sentence indicates that the order is not emphasized in this SQL. Therefore, through the adaption of SQL optimization, ShardingSphere can automatically add the ordering item consistent with the grouping item, converting it from the memory group-by merger method that consumes the memory to the stream group-by merger scheme.
No matter stream group-by merger or memory group-by merger, they process the aggregation function in a consistent way. Therefore, aggregation merger is an additional merging ability based on what have been introduced above, i.e., comparison, sum and average these three kinds.
Comparison aggregation function refers to MAX
and MIN
. They need to compare all the result set data and return its maximum or minimum value directly.
Sum aggregation function refers to SUM
and COUNT
. They need to sum up all the result set data.
Average aggregation function refers only to AVG
.
It must be calculated through SUM
and COUNT
of SQL adaption, which has been covered above in the content of SQL adaption, so we will state no more here.
All the merger types stated above can be paginated. Pagination is the decorator added on other kinds of mergers, through the decorator model of which, ShardingSphere augments its ability to paginate the data result set. Pagination merger is responsible for filtering the data unnecessary to acquire.
The pagination function of ShardingSphere can be misleading to users in that they may think it will take a large amount of memory.
In distributed situations, it can only guarantee the data accuracy by readaptingLIMIT 10000000, 10
to LIMIT 0, 10000010
.
Users can easily bear the misconception that ShardingSphere uploads a large amount of meaningless data to the memory and causes the risk of memory overflow.
Actually, it can be known from the principle of stream merger, only the case of memory group-by merger will upload all the data to the memory.
Generally speaking, however, SQL used for OLAP grouping, is applied more frequently to massive calculation or small result generation situation, rather than generates vast result data.
Except for the case of memory group-by merger, stream merger is the method to acquire data result set in other cases:
ShardingSphere would skip the data unnecessary to take by the method of next in result set, rather than storing them in the memory.
What’s to be noticed, pagination with LIMIT
is not the best practice actually, because a large amount of data still needs to be transmitted to the memory space of ShardingSphere for the sake of ordering.
LIMIT
cannot search for data by index, so paginating with ID is a better solution on the premise that the ID continuity can be guaranteed.
For example:
SELECT * FROM t_order WHERE id > 100000 AND id <= 100010 ORDER BY id;
Or search the next page through the ID of the last query result record, for example:
SELECT * FROM t_order WHERE id > 10000000 LIMIT 10;
The overall structure division of merger engine is shown in the following diagram:


Know More
Comprehensive print/copy tracking and accounting to the user level
Safeguards document confidentiality and unauthorized access to print, scan, copy and e-mail functions
Deploy cloud-based printing, I-Queue, or a hybrid model with the convenience of a single print management application
Targeted campaigns using SMS communication.
Outbound Voice Service for advertisements
Oldest and Traditional way of getting in touch with customers


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lib
Library of commonly used functions. They are all available by using the namespace '''innovaphone.lib'''.
- innovaphone.lib.submitGet(url, funcComplete, blockUI)
-
- url
-
- [funcComplete]
-
A function which is asynchronously called when the request has finished. If not set,
submitGet is used synchronously.
- [blockUI]
-
if set blocks the UI and shows a loading GIF
- innovaphone.lib.blockUIAndWait(block)
-
blocks/unblocks the UI
- innovaphone.lib.buildURL(url, args)
-
builds an URL from a 2 dimensional argument array
- example
-
innovaphone.lib.buildURL("SYSADMIN/DEVICES/mod_cmd.xml", [["cmd", commands.search], ["device", deviceName.value()]]);
- innovaphone.lib.loadScript(src)
-
Gets a javascript src file and directly evals it.
- innovaphone.lib.loadObjectScript(type, onload)
-
Gets the script behind type and calls onload when loading is done.
This function also takes care of loading additional resources behind
the script which is loaded.
If the given type is already loaded, onload is called directly.
- innovaphone.lib.loadObjectScripts(types, onload)
-
Loads an array of type with loadObjectScript and calls onload when
everything has been finished.
This function is usually used within App javascript files to load
the required resource javascript files.
- innovaphone.lib.globalEval(src)
-
evals the javascript src in the global javascript scope
- innovaphone.lib.fireEvent(element, eventName, memo)
-
triggers the event eventName on element with an optional memo
- element
-
The element on which the event is triggered.
- eventName
-
The event which is triggered.
- [memo]
-
Event handlers can read the memo property of the event object.
- innovaphone.lib.isInt(value)
-
returns true if value is an integer
- innovaphone.lib.isFloat(value)
-
returns true if value is a float
- innovaphone.lib.isPrimitiveType(value)
-
returns true, if typeof(value) is 'number'||'string'||'boolean'
- innovaphone.lib.isTouch
-
boolean which tells if the used device is a touch device
- innovaphone.lib.makeUnselectable(element)
-
sets CSS/HTML attributes to make an element not selectable
- innovaphone.lib.setActiveInput(element)
-
sets an active input element, which can be used to prevent actions on key presses like "Escape"
- unset
-
call '''innovaphone.lib.setActiveInput(null)''' to unset the active input element
- innovaphone.lib.getActiveInput()
-
returns the active input element
- innovaphone.lib.stringToXml(text, mimeType)
-
creates a DOMDocument of an XML string
- [mimeType]
-
default is '''text/xml'''
- innovaphone.lib.initLanguages(storageIdInit, languagesInit, defaultLanguage)
-
initializes language related stuff
- [storageIdInit]
-
the storage id where the language is stored
- languages
-
an JSON array of languages, e.g. [{ "short":"de", "name":"Deutsch" },{ "short":"en", "name":"English" }]
- [defaultLanguage]
-
the default language, e.g. '''en'''
- innovaphone.lib.setActiveLanguage(lang)
-
changes the language without page reload
- lang
-
a language, e.g. '''de'''
- innovaphone.lib.changeLanguage(lang)
-
changes the language and reloads the page, if neccessary
- lang
-
a language, e.g. '''de'''
- innovaphone.lib.languageFile(file)
-
appends the currently active language with a dot, e.g. '''.de'''
- file
-
e.g. innovaphone.sysadminLang returns innovaphone.sysadminLang.de
- innovaphone.lib.getLanguages()
-
returns the language array, which has been assigned with initLanguages
- innovaphone.lib.getActiveLanguage()
-
returns the active language string, e.g. '''de'''
- innovaphone.lib.translate(translatedString, param1, ..., paramX)
-
- translatedString
-
the already translated string, which contains occurrences of $1, $2, $3... which have to be replaced
- [param1]
-
$1 will be replaced with the value of param1
- [paramX]
-
$X will be replaced with the value of paramX
- innovaphone.lib.clearSelection()
-
removes text selection
- innovaphone.lib.submitPost (parameters, url, funcComplete, blockUI)
-
- parameters
-
array of post parameters
- url
-
- [funcComplete]
-
A function which is asynchronously called when the request has finished.
If not given, the request is done synchronously.
- [blockUI]
-
if set blocks the UI and shows a loading GIF
- innovaphone.lib.submitFormData (parameters, url, funcComplete, blockUI)
-
transfers the post parameters using a FormData object
- parameters
-
array of form parameters
- url
-
- [funcComplete]
-
A function which is asynchronously called when the request has finished.
If not given, the request is done synchronously.
- [blockUI]
-
if set blocks the UI and shows a loading GIF
- innovaphone.lib.setNoSelect (container)
-
sets corresponding style and callback members to disallow user selection of the given container
- innovaphone.lib.getLanguageUrlParam (container)
-
parses location.href for the URL parameter 'lang' and returns its value (or default 'en')
- innovaphone.lib.addCSSFile (href)
-
adds a new link tag to the document head with the given href to a CSS file.
Your own CSS classes should be always prefixed with ijs-appName- to avoid duplicates!
- innovaphone.lib.removeCSSFile (href)
-
removes a link tag with the given href from document head
string prototype enhancements
The common string prototype has been enhanced by some usefull functions:
- String.prototype.trim()
-
- String.prototype.insert(index, string)
-
- String.prototype.startsWith(str)
-
- String.prototype.endsWith(suffix)
-
- String.prototype.replaceAll(search, replace)
-
node prototype enhancements
- Node.prototype.isChildOf(node)
-
"static" variables
- innovaphone.lib.keyCodes
- a kind of enum with predefined keycodes, e.g.
- innovaphone.lib.keyCodes.arrowDown
-
40
- innovaphone.lib.keyCodes.arrowUp
-
38
innovaphone.lib.css
- html
- body
- div


Spike Framework divide application into separately modules and one of them is util
.
util
should be used as storage for not business functions
and another parts of code which ones not fit into any another structure
Utils are singletons
Utils preferable directory structure should be as follows:
app.config.rootPath
)
Also naming convention should be keeped as:
Utils file name should be named UTILS_NAME.util.js
'import $this as app.util.List'; app.util.register("List", { limit: function(list, limit){ return list.slice(0, limit); } });
util
can be used with static reference
as well in imports
in any another modules:
'import $listUtil as app.util.List'; //import way app.util.Status //static way


{{ title }}
Pick up real conversations with your customers. Build smart relationships that provide insights on better offers and clear opportunities for your brand.
Partner with us, let's grow.Pick up real conversations with your customers. Build smart relationships that provide insights on better offers and clear opportunities for your brand.
Partner with us, let's grow.Lorem ipsum dolor sit amet consectetur adipisicing elit.
Lorem ipsum dolor sit amet consectetur adipisicing elit.
Lorem ipsum dolor sit amet consectetur adipisicing elit.


Prevent Outbreaks of Infection
Preview a Image.
Target Patient
Your Name
Location
Model
General
Bacteria
Select Image
please select a image.
Start Recognition


Warning Safari Crashed!!
Your Apple Device May Have Adware/Spyware Virus.
Call +1-800-646-0717
immediately to connect with Apple Technical Support for installing the Protection Software. chat logs.
DATA AT RISK:
Your credit card details and banking information.Your e-mail passwords and other account passwords.Your Facebook, Skype, AIM, ICQ and other
Your private photos, family photos and other sensitive files.Your webcam could be accessed remotely by stalkers with a VPN virus.


GO-BACK-N ->Retransmits all the frames that sent after the frame which suspects to be damaged or lost.
Selective Repeat -> Retransmits only those frames that are suspected to lost or damaged.
TCP's error-recovery mechanism is best described as a hybrid of GBN and SR protocols.
Flow-control service is added to applications to eliminate the possibilty of the sender overflowing the receiver's buffer. Flow control is thus a speed-matching service. It matches the rate at which the sender is sending against the rate at which the receiving application is reading.
Congestion control controls traffic entry into a telecommunications network, to avoid congestive collapse by avoiding oversubscription by reducing the rate of packets.
The Stream Control Transmission Protocol (SCTP) is a reliable, message-oriented protocol that allows several different application-level "streams" to be multiplexed through a single SCTP connection (an approach known as "multi-streaming").
13 packets
1 packet
Transport layer
A socket is one-end point of a two-way communication link between two programs running on a network.
Domain Name System (DNS).
This portion of the lab can be completed via the terminal
I performed nslookup for popzone.asia. Its IP address is <IP_ADDRESS>.
I performed nslookup for a European University in Ioannina Greece. Its IP address is <IP_ADDRESS>
This portion of the lab can be completed via Wireshark
They are sent over UDP
The destination port for the DNS query is port 53
The source port for the DNS query is also port 53
It is a type A standard Query.
It does not contain any answers.
No, the host does not issue a new DNS query for each individual image


Keep track of the beers your drink, using our extensive catalog of beverages. We even include some wine and liquor varieties!
 What are your favorite drinks?  Observe long-term trends...
Share your data with friends. Rate and recommend beers. Challenge each other to fun drinking games!


|
Figure 1
|
Schematic layout of the POWGEN instrument. The upgraded sect ... |
|
Figure 2
|
2Θ and ϕ (azimuthal angle at the centre of the outer detecto ... |
|
Figure 3
|
Spectral neutron flux at the POWGEN sample position for the ... |
|
Figure 4
|
( a) Data collected at various different center wavelengths ... |
|
Figure 5
|
Instrument resolution as a function of the Bragg angle 2θ fo ... |
|
Figure 6
|
Resolution function Δ d/ d (calculated from Δ t/ t) using ce ... |
|
Figure 7
|
( a) POWGEN auto changer. This sample environment equipment ... |
|
Figure 8
|
( a) Rietveld refinement of 1.22 g of LiKHC 6H 5O 7 loaded i ... |
|
Figure 9
|
( a) Rietveld refinement of 1.09 g of andradite grossular Ca ... |
|
Figure 10
|
POWGEN PDF data measured using the high-intensity guide from ... |


Order Completed
{% for order in order_success%}
Thank you {{ order.user }} for your order!
Your reference number for this order is # {{ order.reference_code }}
- Your date of order is: {{ order.ordered_date }}
-
{% for order_item in order.items.all%}
- You have ordered for {{ order_item }} {% endfor %}


{% extends "layout.html" %} {% block title %}Quizzes{% endblock %} {% block content %}
Quizzes were used to provide some instant feedback activity during the lectures. The tests were done in Socrative - it allows to fill in the tests using mobile devices as well. Most of the test questions were multiple choice; some were also short answers (positive integers and such).
Most quizzes did not affect the grade (about 3 questions for each theory topic) - but the answer was evaluated immediately after submitting each question. Midterms and finals were accompanied by longer quizzes. They were worth 4 percents of the total grade each. Meanwhile, the essay part of the midterm and the final were 16% each.
| Title | Due Date | Max | Average |
|---|---|---|---|
| Midterm (Quiz, Solutions) | 2022-02-23 | 40‰ | NA |
| Final (Quiz, Solutions) | 2022-04-19 | 40‰ | NA |
To prepare for the quizzes we publish sample questions (most of them were also offered during the lectures).
{% endblock %}


This website summarizes the work discussed in our Paper.
Feel free to contact us if you have any questions or comments.
If you use our paper or this online platform in your research, please consider to cite us:
@article{article, author = {Amigo, Daniel and Sánchez Pedroche, David and García, Jesús and Molina, José Manuel}, title = {Review and classification of trajectory summarization algorithms: from compression to segmentation}, journal = {International Journal of Distributed Sensor Networks}, year = 2021, }
This page was generated by GitHub Pages.


Hi Everyone!
During the video lectures you'll hear me mention extra resources, instead of having them scattered throughout the lectures, I decided to place them all here. Enjoy!
Wikipedia Article for General Info on Reinforcement Learning
https://en.wikipedia.org/wiki/Reinforcement_learning
Simpler Reinforcement Learning API with Keras. I would recommend checking this out if you plan to do RL in the future, its a lot easier to play with this than manually implement techniques in TF.
https://github.com/matthiasplappert/keras-rl
Huge Repo of Implemented RL Algos:
https://github.com/dennybritz/reinforcement-learning
Berkeley Course on RL and DL:
http://rll.berkeley.edu/deeprlcourse/
Nice Series of Articles on RL:
https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0
Some great books on RL:
* Richard S. Sutton and Andrew G. Barto. Reinforcement Learning.
* Stuart J. Russell and Peter Norvig. Artificial Intelligence. A Modern Approach.
* Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning.


yue.css is a typography stylesheet for readable content. It was created for my blog at first since I always designed a new theme for my blog. But later it becomes the offical stylesheet for yuehu site.
yue.css is not a reset stylesheet.
It is designed for article content, and only article content. If you are looking for a reset css, you are watching the wrong repository.
Install with npm:
$ npm install yue.css
However, if you don't fancy npm, you can just grab the css file from GitHub. There is no dependency of this project.
For readable content, wrapper them under the .yue
class, and everything
would be ok now:

Heading

Paragraph of contents...

yue.css only supports selected tags which are commonly used in an article.
| Tag Name | Description |
|---|---|
| h1 - h6 | headings for title |
| p | paragraph |
| a | anchor links |
| strong b | emphasis in bold style |
| em i | emphasis in italic style |
| img | image |
| figure | figure wrapper for images |
| figcaption | figcaption in figure |
| hr | separator |
| blockquote | style for quotes |
| ul ol li | ordered and unordered list |
| pre | code block |
| code tt | inline code |
| table .. | tables (not well designed) |
| iframe | embed iframe style |
Headings are tags

,

,

,

,

and

.
But the most commonly used tags are

,

, and

.
Emphasis works on something important or valuable.
and
are not designed for this purpose, you should always use
and
.
Links are the soul of internet. Fork it on GitHub.
Images can be wrappered in a

tag:
There is ordered list

and unordered list

.

yue.css has no target language, however it looks great in both English and Chinese.
yue.css 并不是为某一特定语言设计的，但是它确实在英文和中文上表现出色。
MIT.


|
|
|
Female English Names
[ Suggest
Names for this page ] [ Go to Male
English
Names ]
[
1 ] [ 2 ] [
3 ] [ 4 ] [
5 ] [ 6 ] [
7 ] [ 8 ] [
9 ]
[ 10 ]
[
11 ] [ 12 ] [
13 ]
[ 14
] [
15 ] [ 16 ] [
17 ] [ 18 ] [
19 ] [ 20 ]
- MARCY:
English pet form of Roman Latin Marcia,
meaning "defense" or
"of the sea."
- MARE: Latin name meaning "sea."
Compare with another form of Mare.
- MAREE:
English variant spelling of French Marie,
meaning "obstinacy, rebelliousness" or "their
rebellion."
- MARGARET: English form of French
Marguerite, meaning
"pearl."
- MARGARITA:
Latin form of Greek Margarites, meaning
"pearl."
- MARGE:
Short form of English Margaret, meaning "pearl."
- MARGERY:
Medieval form of English Margaret, meaning
"pearl."
- MARGIE:
Pet form of English Margaret, meaning
"pearl."
- MARGO:
English variant spelling of French Margot, meaning "pearl."
- MARGOT:
Pet form of French Marguerite, meaning
"pearl."
- MARIA
(Greek: Μαρία):
- Greek form of Hebrew Miryam,
meaning "obstinacy, rebelliousness" or "their
rebellion." In the bible, this is the name of many characters,
including the mother of Jesus and
a sister of Lazarus.
- Latin form of Greek or Aramaic Mariam,
meaning "obstinacy,
rebelliousness" or "their rebellion."
MARIABELLA:
English compound name composed of Latin Maria "obstinacy, rebelliousness" or "their
rebellion," and Bella
"God is my oath" or "beautiful."
MARIAH:
English variant spelling of Latin Maria,
meaning "obstinacy, rebelliousness" or "their
rebellion."
Variant spelling of English Moriah,
meaning "chosen by God."
MARIAN:
Medieval variant spelling of French Marion,
meaning "little rebel." Compare with masculine Marian.
MARIANA:
Feminine form of Roman Latin Marianus,
meaning
"like Marius."
MARIANNE:
French form of Latin Marianna, meaning
"like Marius."
MARIE:
French form of Latin Maria,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MARIEL:
English variant spelling of French Marielle, meaning "obstinacy, rebelliousness" or "their
rebellion."
MARIELLE:
Pet form of French Marie,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MARIGOLD:
English name derived from the flower name, composed of the name Mary
"obstinacy, rebelliousness" or "their rebellion" and the word "gold."
MARILENA:
Elaborated form of English Mary, meaning "obstinacy, rebelliousness" or "their
rebellion."
MARILENE:
Elaborated form of English Mary,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MARILOU:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Lou "famous warrior."
MARILYN:
Modern English compound name composed of Mary "obstinacy,
rebelliousness" or "their rebellion," and Lyn
"lake," hence "rebel-lake."
MARILYNN:
Variant spelling of English Marilyn, meaning "rebel-lake."
MARINA:
Feminine form of Roman Latin Marinus, meaning
"of the sea."
MARINDA:
Perhaps a transposed form of English Miranda,
meaning "admirable."
MARIS: English religious name derived from
the last element of a title of the
Virgin Mary, stella maris, "star of the
sea," hence "of the sea." Compare with masculine Maris.
MARISA:
Modern elaborated form of Latin Maria,
meaning "obstinacy, rebelliousness" or "their
rebellion."
Variant spelling of English Marissa, meaning "of the
sea."
MARISE:
Variant spelling of English Marissa, meaning "of
the sea."
MARISELA:
Elaborated form of English Maris, meaning "of the
sea."
MARISSA:
Modern English name derived from Latin maris, meaning "of the
sea."
MARJE:
Variant spelling of English Marge, meaning "pearl."
MARJETA:
Slovene form of English Margaret, meaning "pearl."
MARJORIE:
Variant spelling of English Margery, meaning "pearl."
MARJORY:
Variant spelling of English Marjorie, meaning "pearl."
MARLA:
English pet form of Latin Marlena, meaning "rebel of
Magdala."
MARLEE:
Variant spelling of English Marlie, meaning "rebel of
Magdala."
MARLEEN:
English variant form of Latin Marlena, meaning "rebel of
Magdala."
MARLENA:
Contracted form of Latin Maria Magdalena,
meaning "rebel of Magdala."
MARLENE:
German form of Latin Marlena, meaning
"rebel of Magdala."
MARLEY:
Variant spelling of English Marlie,
meaning "rebel of Magdala."
MARLIE:
Pet form of English Marleen, meaning "rebel
of Magdala."
MARLY:
Variant spelling of English Marlie,
meaning "rebel of Magdala."
MARLYN:
Contracted form of English Marilyn, meaning "rebel-lake."
MARNI:
English pet form of Roman Latin Marina, meaning
"of the sea."
MARNIE:
Variant spelling of English Marni, meaning "of the
sea."
MARSHA:
English variant spelling of Latin Marcia, meaning "defense"
or
"of the sea."
MARSHAN:
Modern English blend of Marsha
"defense" or
"of the sea" and Anne
"favor; grace."
MARTA:
Italian and Spanish form of Greek Martha,
meaning "lady, mistress."
MARTHA
(Hebrew: מַרְתָּה,
Aramaic: מַרְתָּא, Greek: Μάρθα):
Greek name of Aramaic origin, meaning "lady, mistress." In the
bible, this is the name of a sister of Lazarus.
MARTINA:
Feminine form of Latin Martinus,
meaning "of/like Mars."
MARVA:
Feminine form of English Marvin, meaning
"marrow-eminent."
MARY:
Middle English form of French Marie
(Greek & Latin Maria), meaning "obstinacy, rebelliousness" or "their
rebellion." In the bible, this is the name of many characters,
including the mother of Jesus and a
sister of Lazarus.
MARYANN:
Variant spelling of English Maryanne, meaning "obstinacy, rebelliousness" or "their
rebellion" and "favor/grace."
MARYANNA:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Anna "favor; grace."
MARYANNE:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Anne "favor; grace."
MARYBETH:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Beth "God
is my oath."
MARYLOU:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Lou "famous warrior."
MARYLU:
Variant spelling of English Marylou, a compound name meaning "obstinacy, rebelliousness" or "their
rebellion" and "famous warrior."
MARYLYN:
Variant spelling of English Marilyn, meaning
"rebel-lake."
MARYVONNE:
English compound name composed of Mary "obstinacy, rebelliousness" or "their
rebellion" and Yvonne
"yew tree."
MATHILDA:
Latin form of Teutonic Mechthild,
meaning
"mighty in battle."
Scandinavian form of Teutonic Mechthild, meaning
"mighty in battle."
MATILDA:
English form of Latin Mathilda, meaning
"mighty in battle."
Variant spelling of Scandinavian Mathilda, meaning "mighty in battle."
MATTIE:
Pet form of English Matilda, meaning "mighty in
battle." Compare with masculine Mattie.
MATTY:
Variant spelling of English Mattie, meaning
"mighty in battle." Compare with masculine Matty.
MAUD: English form of French Maude,
meaning "mighty in battle." Compare with another form of Maud.
MAUDE:
Pet form of Norman French Mathilde, meaning "mighty in
battle."
MAUDIE:
Pet form of
English Maud, meaning "mighty in
battle."
MAULD:
Middle English form of Norman French Mathilde,
meaning "mighty in battle."
MAURA: Anglicized form of Irish Gaelic Máire,
meaning "obstinacy, rebelliousness" or "their
rebellion." Compare with another form of Maura.
MAUREEN:
Anglicized form of Irish Gaelic Máirín,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MAURENE:
Variant spelling of
English Maureen,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MAURINE:
Variant spelling of
English Maureen,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MAVIS:
English bird name, meaning "song thrush."
MAVREENA:
Variant spelling of
English Maureen,
meaning "obstinacy, rebelliousness" or "their
rebellion."
MAXENE:
Variant spelling of
English Maxine, meaning either "the
greatest rival" or "the stream of Mack."
MAXINE:
Feminine form of English Max, meaning either
"the
greatest rival" or "the stream of Mack."
MAY:
English name sometimes given to baby girls born in the month of May which
was named after the Greek goddess Maia,
meaning "nursing mother."
Pet form of English Margaret "pearl" and Mary
"obstinacy, rebelliousness" or "their
rebellion."
MAYBELLE:
Elaborated form of
English Mabel, meaning
"lovable."
MAYBELLINE:
Pet form of
English Mabel,
meaning "lovable."
MAYME:
Variant spelling of
English Mamie, a pet form of both
Mary "obstinacy, rebelliousness" or "their
rebellion" and Margaret
"pearl."
MAYRA:
Elaborated form of English May, a pet form of English Margaret
"pearl" and Mary "obstinacy, rebelliousness" or "their
rebellion."
MCKAYLA:
Variant spelling of English Michaela, meaning "who is like
God?"
MCKENNA:
Irish and Scottish surname transferred to forename use, from an Anglicized
form of Gaelic Mac Cionaodha, meaning "son of Cionaodh,"
hence "born of fire."
MCKENZIE:
Variant spelling of English unisex Mackenzie,
meaning "comely, finely made."
MEAD:
English surname transferred to unisex forename use, denoting someone
who "lives by a meadow."
MEADE:
Variant spelling of English unisex Mead, meaning "lives by a
meadow."
MEADOW:
English name derived from the vocabulary word, "meadow."
MEAGAN:
Modern English form of Welsh Megan, meaning "pearl."
MEAVE:
Variant spelling of English Maeve,
meaning "intoxicating."
MEED:
Variant spelling of English unisex Mead,
meaning "lives by a meadow."
MEG:
Pet form of English Margaret, meaning
"pearl."
MEGAN:
Pet form of Welsh Mared, meaning
"pearl."
MEGGIE:
Pet form of English Margaret, meaning
"pearl."
MEL:
Unisex short form of English names beginning with Mel-.
MELANIE:
English form of French Mélanie, meaning
"black, dark."
MELANTHA: English
name thought to probably be an elaborated
form of the Greek word anthos, meaning "flower."
MELANY:
Variant spelling of English Melanie, meaning "black, dark."
MELBA:
From the surname of a 19th century singer who took the name from the city of
her birth, Melbourne, Australia,
meaning "mill stream."
MELIA:
Short form of English Amelia, meaning
"work."
MELICENT:
Variant spelling of English Millicent, meaning "strong
worker."
MELINDA:
Modern English compound name composed of Mel- (from Melissa
("sweet") or Melanie "black, dark") and
Linda
"serpent," hence "black/dark serpent" or "sweet serpent."
MELIORA:
Modern English name derived from the Latin word meliora,
meaning "always improving."
MELISA:
English variant spelling of Greek Melissa, meaning "honey-sap."
MELISSA
(Μέλισσα): Greek
name derived from the word melissa, meaning "honey-sap." In
mythology, this is the name of a nymph who cared for Zeus in his
infancy.
MELLE:
Breton form of English Mary, meaning
"obstinacy, rebelliousness" or "their rebellion."
MELLONY:
Variant spelling of English Melanie, meaning
"black, dark."
MELODY:
English name derived from the vocabulary word, meaning "melody."
MELVA:
Feminine form of English Melvin, meaning
"bad settlement."
MELVEEN:
Feminine form of English Melvin, meaning
"bad settlement."
MELYSSA:
Modern English variant spelling of Greek Melissa, meaning "honey-sap."
MERCEDES:
Spanish name derived from a title of the Virgin Mary, María
de las Mercedes ("Mary of Mercies"), meaning
"mercies."
MERCIA:
Latin form of English Mercy, meaning "mercy."
MERCY:
English name derived from the vocabulary word, meaning "forgiveness,
mercy."
MEREDITH:
English unisex name derived from Welsh Meredydd,
probably meaning "sea day" or "sea sun."
MERIDETH:
Feminine variant of English unisex Meredith,
meaning "sea day" or "sea sun."
MERIEL:
Variant spelling of English Muriel, meaning "sea-bright."
MERILYN:
Variant spelling of English Marilyn, meaning
"rebel-lake."
MERIT: Compare
with another form of Merit.
English name derived from the
vocabulary word, from Latin meritus, meaning
"deserving."
Variant spelling of English unisex Merritt, meaning "boundary
gate."
MERIWETHER:
English surname transferred to forename use, derived from a byname for someone having a sunny disposition,
composed of the Middle English elements merry "cheerful, lively" and wether
"weather," hence "cheerful weather."
MERLA:
Feminine form of English unisex Merle, meaning
"blackbird."
MERLE:
English unisex name, derived from the Old French word merle, meaning
"blackbird." It first came to public notice in the 1930s with the
actress Merle Oberon, and is mostly given to girls.
MERLETTA:
Feminine pet form of English unisex Merle, meaning "blackbird."
MERLYN:
Unisex form of English Merlin, meaning
"sea fort."
MERRILL:
English surname transferred to unisex forename use, derived from the
personal name Meriel, meaning
"sea-bright."
MERRILYN:
Variant spelling of English Marilyn, meaning
"rebel-lake."
MERRITT:
English surname transferred to unisex forename use, from the Old
English term moere gaet, meaning "boundary gate."
MERRY:
Originally a form of English Mercy
"forgiveness, mercy," today it this name is usually chosen form its
association with the word "cheerful" and "jolly."
MERYL:
Variant spelling of English unisex Merrill, meaning "sea-bright."
MERYLE:
Variant spelling of English unisex Merrill, meaning "sea-bright."
MICHAELA:
Feminine form of English Michael, meaning
"who is like God?"
MICHAL:
Anglicized form of Hebrew Miykal, meaning "who is like God." In the bible, this is the name of a daughter of
king Saul.
Compare with masculine Michal.
MICHAYLA:
Variant spelling of English Michaela, meaning
"who is like God?"
MICHELLE:
Feminine form of French Michel,
meaning "who is like God?"
MICHELYNE:
English variant spelling of French Micheline,
meaning "who is like God?"
MICKEY:
Unisex pet form of English Michael and
Michaela, both meaning "who is like
God?"
MIDGE:
Variant spelling of English Madge, meaning
"pearl."
MIGNON:
English name derived from the French word mignon, meaning
"charming, delicate, pretty."
MIGNONETTE:
English name derived from a diminutive form of the French word mignon
("charming, delicate, pretty"), hence "little delicate
one."
MIKAYLA:
Variant spelling of English Michaela, meaning "who is
like God?"
MIKKI:
Pet form of English Michaela,
meaning "who is like God?"
MILDRED:
Modern spelling of Middle English Mildredd, meaning
"gentle strength."
MILDREDD:
Middle English form of Anglo-Saxon Mildryth, meaning
"gentle strength."
MILDRETH:
Middle English form of Anglo-Saxon Mildryth, meaning "gentle strength."
MILICENT:
Variant spelling of English Milisent, meaning "strong
worker."
MILISENT:
English variant spelling of Norman French Melisent, meaning
"strong worker."
MILLA:
English short form of Roman Latin Camilla,
possibly
meaning
"attendant (for a temple)."
MILLESANT:
Variant spelling of English Milisent, meaning "strong
worker."
MILLICENT:
Variant spelling of English Milicent, meaning "strong
worker."
[
1 ] [ 2 ] [
3 ] [ 4 ] [
5 ] [ 6 ] [
7 ] [ 8 ] [
9 ]
[ 10 ]
[
11 ] [ 12 ] [
13 ]
[ 14
] [
15 ] [ 16 ] [
17 ] [ 18 ] [
19 ] [ 20 ]
|
|
|
A-Z
Baby Names
|
|
Girl Names
A,
B, C,
D, E,
F, G,
H, I,
J, K,
L, M,
N, O,
P, Q,
R, S,
T, U,
V, W,
X, Y,
Z
Boy
Names
A,
B, C,
D, E,
F, G,
H, I,
J, K,
L, M,
N, O,
P, Q,
R, S,
T, U,
V, W,
X, Y,
Z
|
|
|
***
|
|
Pet
Names
Names for your pets. Grouped by species.
Naming Tips &
Quips
|
| Miscellany |
|
New Page 1
|
|
| *** |
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Games
have been removed. 20kWeb is being converted into an
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Timestamp before
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{% if event or just_finished %}
{% if event and just_finished %}
{# Events with signups take precedence over just finished #}
{% signups_are_open request.user event as is_open %}
{% if event.is_ongoing %}
{% if event.is_ongoing %}
Finishes in
({{ event.end|date:'P l jS F Y' }})
{% elif is_open %}
{% if event.signup_count < event.signup_limit %}
Signups are now open! Click
here to start signing up
for {{ event.title }}.
{% else %}
Signups for this event are open but there are no more spaces! Check back again soon.
{% endif %}
{% else %}
{% user_signup_date request.user event as signup_date %}
Signups open in
({{ event.signup_start|date:'P l jS F Y' }})
{% endif %}
{% for tournament in tournaments %}
{% include 'dashboard/includes/tournament-partial.html' with tournament=tournament %}
{% endfor %}
{% if not tournaments or tournaments|length < 3 %}
There are no more upcoming tournaments for the moment. Check again soon!


Project Helpers
Tiny library with some fun uses. Honestly, this is just my first NPM package, so more of a test for me really. But everything should work fine.
Installation
npm install project-helpers
Usage
import {helpers, mapObj, setDeep, ifFunc, arrayChunks} from "project-helpers"
Group an array into chunks of arrays.
This method is good for creating grids and any other things that require an array to be sorted into chunks.
const testArray = [1, 2, 3, 4, 5, 6, 7, 8, 9];
const resulta = arrayChunks(testArray, 3);
const resultb = arrayChunks(testArray, 4);
// resulta is: [[1,2,3], [4, 5, 6], [7, 8, 9]]
// resultb is: [[1,2,3, 4], [5, 6, 7, 8], [9]]
Access deeply nested values from an object
Sometimes we just need to reach a bit deeper than we'd like but are unsure if the pathway is even set.
Use this method to safely access deeply nested values.
const deepObject = {layer_one: {layer_two: {layer_three: { worked: "worked"}}}};
const result = accessDeep("layer_one.layer_two.layer_three.worked", deepObject);
result
should be "worked"
Map an object like you would an array
Do you need to iterate through an object's values? Here you go. You're welcome:
const objectMap = {
one: 1,
two: 2,
three: 3
};
const result = mapObj(objectMap, function (val) {
return val;
});
result
should be [1, 2, 3]
Deeply set a value of an object.
If you need to deeply set a value of an object, we can do so using the setDeep method. This will create the path even though it's not already set.
let myObject = {};
helpers.setDeep(myObject, "set.deeply.nested.values", "myValue");
// myObject.set.deeply.nested.values = "myValue";
// Now it should look like this:
myObject = { set: { deeply: { nested: { values: "myValue" }}}};
Call a function if it's a function
Sometimes in projects we need to call functions if they are indeed functions. For example, in a React project sometimes we have props that are optional. These props can contain functions. If that is indeed the case, we would end up writing something like this:
if (typeof myfunc === "function") {
myfunc(...)
 So we created better:
const myFunction = function (a, b) {
return a + b;
}
ifFunc(myFunction, 1, 2) // should return 3;
This will gracefully fail if the function is not set.
Tests
npm test
Contributing
In lieu of a formal style guide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code.


Hi, I am Customers Module
The simpleServiceId in SimpleService instance that I have is : {{ simpleService.simpleServiceId }}


Pomodoro Clock
by Alec Armstrong
Adjust timers with
-
and
+
then press enter.
Work Time:
-
25
+
Break Time:
-
05
+
Start
WORK
25
:
00


Model Selection¶
As a supervised machine learning task, quantification methods can strongly depend on a good choice of model hyper-parameters. The process whereby those hyper-parameters are chosen is typically known as Model Selection, and typically consists of testing different settings and picking the one that performed best in a held-out validation set in terms of any given evaluation measure.
Targeting a Quantification-oriented loss¶
The task being optimized determines the evaluation protocol, i.e., the criteria according to which the performance of any given method for solving is to be assessed. As a task on its own right, quantification should impose its own model selection strategies, i.e., strategies aimed at finding appropriate configurations specifically designed for the task of quantification.
Quantification has long been regarded as an add-on of classification, and thus the model selection strategies customarily adopted in classification have simply been applied to quantification (see the next section). It has been argued in Moreo, Alejandro, and Fabrizio Sebastiani. Re-Assessing the “Classify and Count” Quantification Method. ECIR 2021: Advances in Information Retrieval pp 75–91. that specific model selection strategies should be adopted for quantification. That is, model selection strategies for quantification should target quantification-oriented losses and be tested in a variety of scenarios exhibiting different degrees of prior probability shift.
The class qp.model_selection.GridSearchQ implements a grid-search exploration over the space of hyper-parameter combinations that evaluates each combination of hyper-parameters by means of a given quantification-oriented error metric (e.g., any of the error functions implemented in qp.error) and according to a sampling generation protocol.
The following is an example (also included in the examples folder) of model selection for quantification:
import quapy as qp
from quapy.protocol import APP
from quapy.method.aggregative import DistributionMatching
from sklearn.linear_model import LogisticRegression
import numpy as np
"""
In this example, we show how to perform model selection on a DistributionMatching quantifier.
"""
model = DistributionMatching(LogisticRegression())
qp.environ['SAMPLE_SIZE'] = 100
qp.environ['N_JOBS'] = -1 # explore hyper-parameters in parallel
training, test = qp.datasets.fetch_reviews('imdb', tfidf=True, min_df=5).train_test
# The model will be returned by the fit method of GridSearchQ.
# Every combination of hyper-parameters will be evaluated by confronting the
# quantifier thus configured against a series of samples generated by means
# of a sample generation protocol. For this example, we will use the
# artificial-prevalence protocol (APP), that generates samples with prevalence
# values in the entire range of values from a grid (e.g., [0, 0.1, 0.2, ..., 1]).
# We devote 30% of the dataset for this exploration.
training, validation = training.split_stratified(train_prop=0.7)
protocol = APP(validation)
# We will explore a classification-dependent hyper-parameter (e.g., the 'C'
# hyper-parameter of LogisticRegression) and a quantification-dependent hyper-parameter
# (e.g., the number of bins in a DistributionMatching quantifier.
# Classifier-dependent hyper-parameters have to be marked with a prefix "classifier__"
# in order to let the quantifier know this hyper-parameter belongs to its underlying
# classifier.
param_grid = {
'classifier__C': np.logspace(-3,3,7),
'nbins': [8, 16, 32, 64],
}
model = qp.model_selection.GridSearchQ(
model=model,
param_grid=param_grid,
protocol=protocol,
error='mae', # the error to optimize is the MAE (a quantification-oriented loss)
refit=True, # retrain on the whole labelled set once done
verbose=True # show information as the process goes on
).fit(training)
print(f'model selection ended: best hyper-parameters={model.best_params_}')
model = model.best_model_
# evaluation in terms of MAE
# we use the same evaluation protocol (APP) on the test set
mae_score = qp.evaluation.evaluate(model, protocol=APP(test), error_metric='mae')
print(f'MAE={mae_score:.5f}')
In this example, the system outputs:
[GridSearchQ]: starting model selection with self.n_jobs =-1
[GridSearchQ]: hyperparams={'classifier__C': 0.01, 'nbins': 64} got mae score 0.04021 [took 1.1356s]
[GridSearchQ]: hyperparams={'classifier__C': 0.01, 'nbins': 32} got mae score 0.04286 [took 1.2139s]
[GridSearchQ]: hyperparams={'classifier__C': 0.01, 'nbins': 16} got mae score 0.04888 [took 1.2491s]
[GridSearchQ]: hyperparams={'classifier__C': 0.001, 'nbins': 8} got mae score 0.05163 [took 1.5372s]
[...]
[GridSearchQ]: hyperparams={'classifier__C': 1000.0, 'nbins': 32} got mae score 0.02445 [took 2.9056s]
[GridSearchQ]: optimization finished: best params {'classifier__C': 100.0, 'nbins': 32} (score=0.02234) [took 7.3114s]
[GridSearchQ]: refitting on the whole development set
model selection ended: best hyper-parameters={'classifier__C': 100.0, 'nbins': 32}
MAE=0.03102
The parameter val_split can alternatively be used to indicate a validation set (i.e., an instance of LabelledCollection) instead of a proportion. This could be useful if one wants to have control on the specific data split to be used across different model selection experiments.
Targeting a Classification-oriented loss¶
Optimizing a model for quantification could rather be computationally costly. In aggregative methods, one could alternatively try to optimize the classifier’s hyper-parameters for classification. Although this is theoretically suboptimal, many articles in quantification literature have opted for this strategy.
In QuaPy, this is achieved by simply instantiating the classifier learner as a GridSearchCV from scikit-learn. The following code illustrates how to do that:
learner = GridSearchCV(
LogisticRegression(),
param_grid={'C': np.logspace(-4, 5, 10), 'class_weight': ['balanced', None]},
cv=5)
model = DistributionMatching(learner).fit(dataset.training)
However, this is conceptually flawed, since the model should be optimized for the task at hand (quantification), and not for a surrogate task (classification), i.e., the model should be requested to deliver low quantification errors, rather than low classification errors.


QATrack+ Documentation¶
Note: This wiki should be considered a `living document <http://en.wikipedia.org/wiki/Living_document>`__. Signing up for a `free account <https://bitbucket.org/account/signup/?plan=5_users>`__ and adding content, correcting errors or editing existing content and contributing new `tutorials <admin/tutorials/tutorials.html>`__ is encouraged!
- Geting Started
- Evaluating QATrack+
- Implementing QATrack+ in the Clinic
- Contributing to the QATrack+ project
- Users & Administrators documentation:
Getting Started with QATrack+¶
Since QATrack+ is a web application (i.e. a client/server configuration) getting it installed and set up correctly is not as simple as running a one-click installer: it will require a time investment and some technical skills (however there is a single file download for evaluating QATrack+ described below). The process will be different depending on the specific requirements of your clinic and the platform (Operating System/server software/database) you choose but to help you get started, we are providing a number of tutorials on how to deploy QATrack+ on various platforms. If you want some help deciding what platform to use or need some help installing and configuring QATrack+, please post in the QATrack+ discussion group/mailing list and I will be happy to help out however I can!
Evaluating QATrack+¶
If you want to take QATrack+ for a test drive and have access to a Windows computer, the easiest path is to download the latest version of the standalone QATrack+ program. Simply download a file, unzip it somewhere and run the qatrackplus.bat file. This will start a simple web server with an embedded database and allow you to try out QATrack+ on your desktop. More details are available in the README.txt file included with that download.
This standalone version should be used for testing and getting a feel for the latest version of QATrack+. Due to limitations in its database and webserver, the standalone version is not meant to be used in situations where multiple users will be accessing it at the same time (i.e. most clinical settings).
Implementing QATrack+ in the Clinic¶
Once you have decided that you would like to use QATrack+ the first thing to do is join the QATrack+ discussion group! Obviously this isn’t mandatory, but it is your best avenue for getting implementation advice, help with configuration, discussing new features etc. Plus, we would love to hear where QATrack+ is being used!
Deploying QATrack+
Since QATrack+ can be deployed on multiple OS’s (Windows/Linux/Mac) with multiple different databases (PostgreSQL, MySQL, Oracle, MSSQL) you should first determine (in consultation with your IT department if appropriate ) what the most appropriate platform for running QATrack+ in your clinic is.
The recommended platform for running QATrack+ is using a Linux server with PostgreSQL as a database. That said, you are certainly free to choose another platform that either you or your IT department are more comfortable with. In fact, due to the hospitals IT infrastructure, at The Ottawa Hospital Cancer Centre, we use a Microsoft based stack based on Windows Server 2008 & MS SQL Server.
A number of installation & deployment guides are currently being worked on and you can find them on our deployment page.
Contributing to QATrack+¶
We would love to have people from outside TOHCC contributing to the QATrack+ project. You do not need to be a programmer to help out with the project! Some ideas on ways to contribute include:
- Report bugs or submit ideas for features
- Help out with development
- Translations
- Contribute new, or edit existing documentation and tutorials


- panoptican society - The term is Foucault's. See Discipline and Punish and below.
- post-industrial society - The phrase, post-industrial society, is Daniel Bell's, and the concept will be expanded upon below. As Jameson notes, the concept of 'post-industrial society' (along with 'the end of ideologies') announced in the 50s, was to become dramatically true in the 70s and 80s. (Jameson, 1991:159)
- laager - The term 'laager' stems from the Afrikaans word to describe ox wagons, drawn into an enclosing circle, thus forming a 'fortres' for protection and self defence. The most famous laager in South African history was the laager drawn against the army of the Zulu king "Dingaan", from where the Boers won the battle of Bloedrivier (Bloodriver).
During the era of apartheid the term came to describe the outdated 'laager mentality' of isolation, ignorance and conservatism of the National Party.
- servo mechanism - 'A servo mechanism - or "slave mechanism" - is a device that has several distinctive features. (1) It has a mechanical part that is to be moved to a desired position. (2) It has the means of sensing the error between the desired position and the actual position of the part in question. (3) The error information is fed back to the motor that is driving the machine so that the area is reduced to zero ... The development of servo mechanisms was, to a great extent, stimulated by military needs - to control large-scale artillery, and to correct for the movement of elusive targets. (Rothman 1972: 23)
- entropy - The loss of energy in the randomised movement of molecules is termed entropy. Because the energy given up in this fashion is unrecuperable, time is irreversible. In the 1860s Maxwell gave a more rigorous theoretical account of entropy which became known as the Second Law of Thermodynamics. For further discussion see Porush (1985).
- machine illustrators - At the same time the whole of the cultural sphere was being transformed through the new philosophies of Nietzsche, Freud and Marx.
- postmodernity - The term 'post-modernism' is generally used by theorists who regard 'it' as a complete break with modernism. Conversely, 'postmodernism' is used to portray an artistic strategy which continues the concerns of modernism, but is situated within a highly differentiated cultural, social and economic field, that of the post-industrial, as discussed above. As such I have elected to use the latter form of the term when referring to my own work. (See Jameson, 1991: 55-66).
- fibre-optic - Fibre-optic cables use light to transmit data. Today all forms of information, from text to sound to graphics to video, are being digitized - transformed into 'bytes' of computer-readable information. When information is digitized, it can be easily transmitted by telephone wire. The old copper wire used for telephone systems will never match the capacity of a fibre-optic network, which can transmit at speeds up to twenty gigabits (twenty billion bits of information per second). The best speeds hoped for from copper wire is twenty kilobites (twenty thousand bits per second). (See Rucker 1993: 114)
- Waiting for the Barbarians (1980) - Indeed a whole genre of 'apocalyptic writing' has appeared in South Africa since the early 70s. See Karel Schoeman, Na die Geliefde Land; Elsa Joubert, Die Laaste Sondag; Nadine Gordimer, July's People; J.M. Coetzee, The Life and Times of Michael K. These concerns are reflected in the work of a number of South African artists, such as William Kentridge, Gavin Younge, Jo Ractliffe and David Brown.
- an environment - The environment created by Ettiene le Roux in Sewe Dae by die Silbersteins (with its metaphorical similarities to Coetzee's Waiting for the Barbarians) influenced me, as did his archaic representation of the Afrikaans' psyche.
- MIG - This process consists of the welding of metals in a gas shielded atmosphere. The metal electrode is fed through a gun (electrode holder) and into the arc at the same speed at which the electrode is melted and deposited in the weld. The operation of the gun is controlled by a trigger mechanism which, through relays, controls the arc current, the shielding gas flow, and the electrode wire movement to the arc. (See Althouse, 1980: 275-286)
- TIG - This process uses a non-consumable tungsten electrode. The electrode is mounted in a special electrode holder which is also designed to create a flow of shielding gas around the arc. The process consists of striking an arc between the base metal and a tungsten electrode in an atmosphere of shielding gas (helium, argon or a shielding gas mixture). The filler metal is applied in a manner similar to the method used in gas welding. (See Althouse, 1980: 264-275)
- Cor-Ten steel - Cor-Ten steels have enhanced atmospheric corrosion resistance when compared with, ordinary carbon steel and may be used in the bare condition with suitable precautions in most outdoor atmospheres. (See ISCOR, 1990)


--- layout: _default ---
{{ subtitle }}
Coffee is a small tree or shrub that grows in the forest understory in its wild form, and traditionally was grown commercially under other trees that provided shade. The forest-like structure of shade coffee farms provides habitat for a great number of migratory and resident species.
Coffee is a small tree or shrub that grows in the forest understory in its wild form, and traditionally was grown commercially under other trees that provided shade. The forest-like structure of shade coffee farms provides habitat for a great number of migratory and resident species.


FreeStructure()
语法
FreeStructure(*Item)概要
Free the dynamic structure item previously allocated with AllocateStructure(). There is no need to call ClearStructure() before freeing the structure.
参数
*Item The address of the dynamic structure item to free. This must be a value returned from AllocateStructure().
返回值
无.
备注
If the program crashes at this command even though the input seems correct, it is usually a result of a memory corruption at an earlier time in the program by writing at an area outside of the allocated memory area. Such an error can be narrowed down to the real cause using the purifier debugger tool.
All remaining allocated dynamic structure items are automatically freed when the program ends.
参阅
AllocateStructure()
已支持操作系统
所有


JavaScript 8 - Regular Expressions / RegEx
Projected Time
About 2 hours
- 20 minutes for video walkthrough of slides
- 80 minutes for Independent Practice
- 20 minutes for checking understanding
Prerequisites
Motivation
Regular Expressions allow you to search and modify strings using a special language. They are very powerful and can enable writing significantly less code.
Most online registration forms use RegEx to verify that the information entered is in the right format
-
Build/test tools match file names and extensions using regexes. For example, Jasmine uses regex to find test
files ending in “spec.js".
Objectives
Apprentices will be able to:
- Read and write RegEx in JavaScript
- Use RegEx to test and replace strings
- Understand basic regular expression special characters:
.*+?\w\d
Specific Things to Learn
- JavaScript’s RegExp syntax/structure
- Basic regular expression characters
- How RegExp modifiers work
- The 4 string methods and 2 RegExp methods that work with RegExps
Lesson
Instructor demonstrates in the video walk through how to work with Regular Expressions in JavaScript.
JavaScript VII (video)
JavaScript VII (slides)
Things to Remember
- There are two ways to use RegEx: - RegEx as input to 4 String methods:
String.replace()
, String.match()
, String.search()
, String.split()
- String as input to 2 RegEx methods: RegExp.test()
, RegExp.exec()
- You can add modifiers to RegEx
- The pattern goes between the two forward slashes, and you can use back slashes to escape special characters
- There are a lot of complex RegEx patterns. We’ll teach the basic ones, but there are many more you can learn as you go.
Supplemental Materials
Independent Practice
- Go through the tutorial at https://regexone.com. Do at least lessons 1-10. This isn’t JavaScript specific, but it will help you understand how to match text with regular expressions.
- Write a JavaScript function that takes a word and returns true if the word ends with
tonica
- Write a function expression that takes a string replaces all instances of
symantec
with semantic
- Write a function that takes a string and deletes all words that end in
ing
- Write a function that takes a string and returns true if it is an email address. Compare your answer with your neighbor.
- Write a function that takes a string containing names separated by commas like
"Leah, Russell, Michelle"
and returns an array of names, ["Leah", "Russell", "Michelle"]
Challenges
- Write a regular expression that matches any Techtonica apprentice’s first name, but not any staff members’ first name.
- Write a regular expression that matches all even-length strings but not odd-length ones.
- Do lessons 11+ on https://regexone.com
Check for Understanding
- Make a cheat sheet to remind yourself about the different regular expression characters and how to use them.
- What character matches the beginning of the line?
- What does the ‘i’ flag mean and what is it used for?
- What does the dot ( . ) represent in Regex?
- What are the advantages and disadvantages of using regex?


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Giving collective that enables both individuals and organizations to respond together to crisis.
People often wonder where the money would go. I can tell you, I started working with GiveIndia when the pandemic first broke a year ago. We validate them, it’s a very good, reliable organization.
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Component page is alos compiled with Template7, but it has much more functionality. In addition to Template7 page it has lifecycle hooks, events handling and data managment.
It is useful to use Component page when you need page-specific logic.
Events Handling
Page Component Data
Hello! My name is {{name}}. I am {{age}} years old.
I like to play:
-
{{#each like}}
- {{this}} {{/each}}
Extended Context
Component page context as Template7 page context is also extended with some additional variables.
$route
Contains properties of the current route:
- $route.url: {{$route.url}}
- $route.path: {{$route.path}}
- $route.params: {{js 'return JSON.stringify(this.$route.params)'}}
- $route.hash: {{$route.hash}}
- $route.query: {{js 'return JSON.stringify(this.$route.query)'}}
$root
Root data & methods:
- $root.user.firstName: {{$root.user.firstName}}
- $root.user.lastName: {{$root.user.lastName}}
- $root.helloWorld()
$theme
Currently active theme:
- $theme.ios: {{$theme.ios}}
- $theme.md: {{$theme.md}}


{{verifiedObj.value}}
{{unverifiedObj.value}}
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Guidance
Key facts about the Parent View survey and materials that can be adapted and used by schools to raise awareness with parents.
MS Word Document , 584KB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 163KB , 5 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Parent View allows parents and carers to give their views about their child’s school at any time of the school year. The questionnaire is also the main mechanism for parents to give their views to inspectors about their child’s school at the time of a school inspection.
Published: 12 February 2014
Updated: 1 February 2016
From: Ofsted


Secure training centres (STCs) are custodial institutions for young offenders aged between 10 and 17. Generally, they provide for young people between 12 and 15. Ofsted has been responsible for inspecting them since 2007.
Under proposals inspectors will make judgements on how well young people in the centre are kept safe, on how well behaviour is managed, the promotion of their health, wellbeing, and education, and on the effectiveness of planning for their resettlement when they leave. There will be a strong focus on seeking young people’s views including, wherever possible, following up the views of young people who have been discharged.
Inspectors will pay particular attention to the use of physical restraint. The minimum requirement will be that restraint is only ever used as a last resort, to protect the young person themselves or other people from serious harm, for the minimum amount of time necessary, and by trained staff, using approved techniques. To be judged as good or outstanding, the standards set will be even higher.
John Goldup, Deputy Chief Inspector said:
Secure training centres work with young people who have committed sometimes serious criminal offences. But they are also very vulnerable children, some of them not even teenagers, who require high levels of care and support. The development of joint Ofsted and HMIP inspection teams, supported by the Care Quality Commission, will bring together the complementary skills and expertise of the different inspectorates in a new partnership which will ensure that inspection focuses on improving outcomes for young people. The new framework will have a rigorous focus on ensuring that the safeguarding and welfare of young people is safeguarded and promoted.
We would welcome responses to the consultation from everybody involved in the sector and from everybody with an interest in the care and rehabilitation of young people.
Nick Hardwick, Chief Inspector of Prisons said:
We are very pleased to be extending our work with Ofsted into this important area. The consultation process is an important part of making sure we get the inspection process right and so we are looking forward to receiving the views of children and young people themselves, providers and others who care about what happens to children and young people in custody.
The new joint framework has been developed following the recommendations of the independent review of restraint in juvenile secure settings carried out by Peter Smallridge and Andrew Williamson in 2008, and the government and parliamentary response to that review. Inspection teams will be led by one of Her Majesty’s Inspectors of social care from Ofsted, and will include other Ofsted inspectors with expertise in social care, education and skills, as well as inspectors from both HMI Prisons and the Care Quality Commission.
Other issues considered by inspectors will include the safety of young people at risk of self-harm or suicide, ensuring that they are identified at an early stage and provided with individual care and support throughout their time in the centre. They will also look at the achievements of young people in attaining learning goals and qualifications that will help them to progress to further education, training or employment on release.
Notes to editors
-
The Office for Standards in Education, Children’s Services and Skills (Ofsted) regulates and inspects to achieve excellence in the care of children and young people, and in education and skills for learners of all ages. It regulates and inspects childcare and children’s social care, and inspects the Children and Family Court Advisory Support Service (Cafcass), schools, colleges, initial teacher training, work-based learning and skills training, adult and community learning, and education and training in prisons and other secure establishments. It assesses council children’s services, and inspects services for looked after children, safeguarding and child protection.


The PWG meetings will be held on February 4-6, 2012, hosted by Samsung at their facilities in Irvine, CA:
18500 Von Karman Ave
Suite 800
Irvine, CA 92612
Overhead view of Samsung offices:
Parking for Samsung offices:
Wireless Internet connectivity will be available for these meetings. A light breakfast, lunch, and afternoon snack will be served.
There is no meeting fee for this meeting.
Please respond to the PWG February 2014 face-to-face meeting survey whether you are planning to attend the meeting in person, by phone, or not at all. This will help us plan for network services and to make badges for the attendees.
Call-in toll-free number (US/Canada): +1<PHONE_NUMBER>
Call-in toll number (US/Canada): +1<PHONE_NUMBER>
Call-in toll number (US/Canada): +1<PHONE_NUMBER>
Attendee access code: (please contact the PWG Chair)
To join the online meeting:
Note:All times are local to the venue.
The second two mornings are joint meetings with the MFP Technical Community to continue development of a new Protection Profile for MFPs.
Discussions at PWG face-to-face meetings are covered by the PWG Policy on Intellectual Property and Confidentiality - basically everything we discuss is non-confidential and can be included in an open standard.
| Date | Times | Description |
|---|---|---|
| February 4 | 9:00 AM to 10:15 AM | Plenary (Slides) |
| 10:15 AM to 10:30 AM | Break | |
| 10:30 AM to 12:00 PM | IDS (Slides · TNC Binding) | |
| 12:00 PM to 1:00 PM | Lunch | |
| 1:00 PM to 5:00 PM | Cloud Imaging Model (Slides · Requirements and Model) | |
| February 5 | 9:00 AM to 10:00 AM | Mopria Alliance Updates |
| 10:00 AM to 12:00 PM | IPP (Slides · Self-Certification Manual 1.0) | |
| 12:00 PM to 1:00 PM | Lunch | |
| 1:00 PM to 5:00 PM | IPP (Scan Service · Implementor's Guide 2.0) | |
| February 6 | 9:00 AM to 12:00 PM | Semantic Model (Slides) |
| 12:00 PM to 1:00 PM | Lunch | |
| 1:00 PM to 5:00 PM | Semantic Model |
Irvine Marriott
18000 Von Karman Avenue
Irvine, CA 92612
+1<PHONE_NUMBER>
http://www.marriott.com/
hotels/
travel/
laxir-irvine-marriott/
Free shuttle bus provided between hotel and SNA airport
Hyatt Regency Irvine
17900 Jamboree Road
Irvine, CA 92614
+1<PHONE_NUMBER>
http://irvine.hyatt.com/
hyatt/
hotels-irvine/
index.jsp
Fairmont Newport Beach
4500 MacArthur Boulevard
Newport Beach, CA 92660
+1<PHONE_NUMBER>
http://www.fairmont.com/
newport-beach/
Residence Inn Irvine
2855 Main Street
Irvine, CA 92614
+1<PHONE_NUMBER>
http://www.marriott.com/
hotels/
travel/
john-wayne-airport-orange-county
Radisson
4545 MacArthur Boulevard
Newport Beach, CA 92660
+1<PHONE_NUMBER>
http://www.radisson.com/
newport-beach-hotel-ca-92660/
canewpor/
home


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Sweet Smell of Success (1957)
Grade: 60
"Sweet Smell of Success" was a commercial and critical failure when first released. It wasn't nominated for any Academy Awards. It nearly ruined the career of director Alexander MacKendrick. But over time, the film has acquired a reputation. With its dark and squalid themes of men exchanging their integrity for money and power, it never compromises in its pessimistic attitude towards human nature.
Tony Curtis plays a detestable press agent, who earns his fees by getting plugs for clients in newspaper columns. Lancaster is a self-important gossip columnist who knows just how important it is to Curtis's career to place his plugs. Lancaster lives with his sister Susan Harrison, and is pathologically determined to remain living with her.
Lancaster is "freezing" Curtis from his column until Curtis can break up a romance between Harrison and jazz musician Steve Dallas (Marty Milner). Lancaster and Curtis go to unbelievable depths, even willing to commit serious crimes, to achieve this.
While Curtis feels an occasional twinge of remorse, this cannot be said for Lancaster's character. People have been fawning over him for so long that he has come to believe in his own omnipotence.
Burt Lancaster somehow got top billing over Tony Curtis, although the latter gets much more screen time. This may be because Lancaster co-produced the film.
The major handicap to "Sweet Smell of Success" is that the two leads are so rotten to the core that their actions are less interesting than repugnant. Their characters are contrasted against dismally earnest Milner and meek Harrison, who aren't interesting at all. Also, dated slang and petty bickering sometimes hampers the script.
Still, one has to admire the producers for disdaining box office success in pursuit of their goals. The film's condemnation of gossip sheets and the people behind them could not be made more clear. And if the dialogue is occasionally overdone, the writing is still much better than you can find in an Audie Murphy western.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
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Psalms 17:2
Let my sentence come forth from thy presence; let thine eyes behold the things that are equal.


Tournament Director of the ACF South Regionals will be Chris Romero. Questions may be addressed by telephone to Chris at<PHONE_NUMBER>. E-mail inquiries, which are preferred, may be sent to<EMAIL_ADDRESS>Format will depend on the number of teams attending, however it will probably be round robin followed by playoff rounds.
Questions should follow the official ACF distribution and formatting, and should be sent to Dave Hamilton<EMAIL_ADDRESS>no later than February 6. ONE PACKET PER SCHOOL (presumably from your best team), even if you're sending multiple teams. See the web pages. For more information on question formatting and subject matter, check out the documents section of the ACF website.
To register: Send an email with "ACF Tournament" in the subject line to<EMAIL_ADDRESS>with all the applicable info (# of teams, discounts, etc).
Do not send question packets to Texas A&M; rather e-mail the questions, according to the given guidelines to Dave Hamilton at the address given above.
Checks may be made payable to Texas A&M College Bowl and sent to the address listed below:
Texas A&M College Bowl
c/o MSC NOVA
MSC-Student Programs Office
Joe Routt Blvd.
College Station, TX 77844
Thanks,
Chris Romero,
TD, ACF South Regionals


The svg-draw-component allows a user to draw SVG shapes on a HTML5 canvas using Paper.js, a canvas-wrapping library. Users have the option to overlay the canvas on images, an OpenSeadragon instance, or a plain canvas (default). To try out the component on your own, there are three basic steps:
<script type="text/javascript"> var svgdraw; $(function() { svgdraw = new IIIFComponents.SvgDrawComponent({ element: "#svgdraw", subjectType: "" // other options are "image" or "openseadragon" subject: "" // other options your imageID or osd config object }); }); </script>


Putting Deep Learning to Work for EM
November 13, 2020
Matthew Guay
<EMAIL_ADDRESS>https://heyitsguay.github.io/talks/fars1120/
- Electron microscopy (EM) computer vision challenges center around **segmentation**. - Convolutional neural networks (CNNs) are starting to make algorithmic segmentation viable in theory. - Practice should translate to building larger, more detailed 3D structural models much faster. - **Main question**: How to accelerate EM image segmentation in practice?
- Answer via case study: what's going on in our lab? - Laboratory of Cellular Imaging and Macromolecular Biophysics (**LCIMB**). - Dr. Matthew Guay working on algorithmic segmentation R&D for EM.
## What LCIMB has done
### Dense cellular segmentation - "Holy grail" goal: 3D structural models of all cells and all resolvable subcellular structures in a large volume. - **Current achievement**: Good but imperfect multi-class semantic segmentation in a human platelet sample. - Preprints:
[Main Paper]
.
[Supplementary]
.
### Technical challenges - **Anisotropy**: 10nm `$y-x$`, 40nm `$z$` resolution. - **Large images**: Tiling smaller segmentations across larger volumes. - **3D Processing**: 2D vs 3D tradeoffs in memory, processing, spatial context. - **Training data**: Tedious to create training labels.
### Data setup - Taken from two human blood donors, imaged on Gatan 3View SBF-SEM. - **Training** data: `$50\times 800\times 800$` subvolume from Donor 1. - **Eval** data: `$24\times 800\times 800$` subvolume from Donor 1 (different cells) - **Test** data: `$121\times 609\times 400$` and `$110\times 602 \times 509$` subvolumes from Donor 2.
### Software stack - TensorFlow + Python. - Local workstation: Ubuntu with an NVIDIA GTX 1080. - Training and inference on Biowulf as well.
### Data augmentation - **Elastic deformation**: Smooth, randomized, non-uniform distortion of images. - **Isometries**: Rotate and reflect images. - **Intensity augmentation**: Tweak brightness and contrast `$\pm 10\%$`.
### Loss weighting - Training loss is a weighted sum of per-voxel cross entropy. - **Class balancing**: Upweight regions belonging to rare classes. - **Edge preserving**: Upweight regions where multiple cells or organelles are in close proximity. - Generated edge preserving weights directly from label data with no morphological information, using thresholded diffusion operations.
### Training error weights
### Payoff: better cell separation
### Full training loss
### Architecture selection - **First step**: Literature review. We tried U-Nets (2D and 3D), DeeplabV3. - Doing better: Stick together better modules, **validate** whether your choices help. - Final result: **2D-3D+3x3x3** net.
### 2D-3D+3x3x3 net
### Validation challenges - **Eval metric randomness** induced by random weight initialization. - Likely due to small training datasets. - Brute force solution: Train multiple net instances with different initializations.
### Architecture comparison
### Ensembling - Architecture validation generates several high-performing instances per architecture. - **Instance ensembling**: run multiple good instances, average predictions. - Simple idea, big performance boost.
### Final results
### What's missing - **Better accuracy**: Enough said. - **Better generalization**: We see a significant performance drop on Donor 2. - **Instance segmentation**: Identify objects, not just voxel classes. - **Workflow integration**: Bring training, inference, and manual correction into one tool for fast feedback.
### Label dataset bootstrapping - **Goal**: Segment large image volumes to gold-standard accuracy with as little manual labor as possible. - **Bootstrapping**: 1. "Seed" a label dataset with a small manually-labeled region. 2. Iteratively train networks on labels, segment surrounding regions, and correct.
### Proof of concept result - ISBI 2021 submission on platelet cell membrane segmentation.
[Draft]
- Headline: **131x average decrease** in image labeling time between initial seed region and final algorithm assistance. - Algorithmic refinements, training dataset expansion over 4 **bootstrap iterations**.
### Software stack - PyTorch + Python. More friendly than Tensorflow, better code. - Manual labeling and label correction done using GNU Image Manipulation Program. - Same computer setup as before.
### Image preprocessing - Unsharp filtering then median blurring seems to help learning, especially when training dataset size is small.
### Prediction error weighting - BI `$n$`'s training data is the corrected output of previous BIs, so we know where nets make mistakes. - **Prediction error weighting**: Upweight regions where previous BI's nets made mistakes. - Ended up upweighting only false negatives, the more costly error to correct.
### More ensembling - In addition to instance ensembling, used **tile overlap ensembling**. - For tiled image volumes, predict highly-overlapping tiles and average predictions per-voxel. - Tradeoff: increased runtime, though could be parallelized.
### Thin 3D U-Net - For simplicity's sake, went with a **Thin 3D U-Net**. - Alter a standard 2D U-Net to use 3D conv ops padded in `$z$`, and no `$z$` spatial pooling or upsampling. - Fix a small $z$ value for all net tensors, including input and output (e.g. $z=5$). - More advantageous for anisotropic SBF-SEM, but also provides 3D context with lower memory footprint.
### Testing spatially-dependent performance - **Main claim**: iterative label volume expansion beats random labeling because overfit nets perform better on new data spatially near training data. - We tested by validating each BI's algorithm performance on two eval regions: _eval-near_ near the training region, _eval-far_ far from the training region.
### What's missing - **Faster retraining**: Majority of errors corrected in each BI were correlated from slice to slice. Updating nets after each slice for faster correction. - **Retrain optimization**: Much to be done to decrease retraining time after each new batch of corrections. - **Workflow integration**: Clunky workflow of manually moving files between the file system and the image processing program can be refined.
### What LCIMB is doing now
### Dataset expansion - Currently amassing a number of platelet FIB-SEM and SBF-SEM datasets. - Differences in resolution, image quality, platelet biology, extracellular material. - How to segment robustly across these differences? - How to deal with "long-tail" structures found in larger image volumes?
### Panoptic segmentation - **Panoptic segmentation**: Combination of semantic and instance segmentation, usually in a single computation graph. - Experiments with 2D and 3D Mask R-CNN for platelet cells and organelles are OK in 2D, bad in 3D. - RPN modules are a pain. **Foolish hope**: Replace RPN modules with biophysical boundary detection for cellular panoptic segmentation.
### COVID-10 thrombus modeling - **Goal**: Build structural models of platelet cells in human blood samples from COVID-19 and control patients. - Technical challenge: Scaling nanoscale-resolution segmentation to 100s of cells per physical sample. - Population comparison inference challenges whether sample sizes are large or small.
### Seeking new EM collaborations - LCIMB has a Gatan 3View **SBF-SEM** with low utilization. - **FIB-SEM** incoming soon, too. - We are interested in new collaborations that leverage large volume imaging capabilities. - I am interested in samples combining multiple cell types, and systems outside the large-volume EM spotlight.
### Expanding IRP microscopy AI - I am interested in helping labs hire computational staff, and connecting existing computational staff to computer vision training resources. - **Considering a project?** Let's talk about your data and your goals during discussion!
# THANK YOU!


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Internship: {{ education.internship.company }} - {{ education.internship.location }} - {{ education.internship.duration_in_months }} months.
{{ education.internship.description }}
Growing interest in blockchain technology and cryptocurrencies. Having fun with photography and would like to spend more time to learn it. Motobiker. Addicted to traveling.
 That's why I insist on regularly attending conferences.
Here's a list of the conferences I attended in the past years:
| Year | Conference's name | Location |
|---|---|---|
| {{ year }} | {{ confs.name }} | {{ confs.location }} |


Mateusz Szczap
mobile.de - eBay Inc. subsidiary
MacBook:engi mszczap$ git remote -v
origin https://github.com/paked/engi (fetch)
origin https://github.com/paked/engi (push)
MacBook:engi mszczap$ cat .git/config
[core]
repositoryformatversion = 0
filemode = true
bare = false
logallrefupdates = true
precomposeunicode = true
[remote "origin"]
url = https://github.com/paked/engi
fetch = +refs/heads/*:refs/remotes/origin/*
MacBook:engi$ git log origin/master
commit 1711595d93bcf5dc7ecff26ba0d47b0914d43ec9
Merge: 1a23404 fa4fd03
Author: Harrison Shoebridge<EMAIL_ADDRESS>Date: Thu Aug 20 11:49:27 2015 +1000
Merge pull request #12 from paked/contribution-update
[ANNOUNCEMENT] Update README with information on slack and trello
commit fa4fd037caa6eb71bc4fbc6a4a30aa3f6b2a2468
Author: Harrison Shoebridge<EMAIL_ADDRESS>Date: Wed Aug 19 09:14:08 2015 +1000
Update README with information on slack and trello
MacBook:engi mszczap$ git remote add mszczap git@github.com:matiwinnetou/engi.git
MacBook:engi mszczap$ git remote -v
mszczap git@github.com:matiwinnetou/engi.git (fetch)
mszczap git@github.com:matiwinnetou/engi.git (push)
origin https://github.com/paked/engi (fetch)
origin https://github.com/paked/engi (push)
MacBook:engi mszczap$ cat .git/config
[core]
repositoryformatversion = 0
filemode = true
bare = false
logallrefupdates = true
precomposeunicode = true
[remote "origin"]
url = https://github.com/paked/engi
fetch = +refs/heads/*:refs/remotes/origin/*
[remote "mszczap"]
url = git@github.com:matiwinnetou/engi.git
fetch = +refs/heads/*:refs/remotes/mszczap/*
MacBook:engi mszczap$ git fetch --all
Fetching origin
Fetching mszczap
From github.com:matiwinnetou/engi
* [new branch] contribution-update -> mszczap/contribution-update
* [new branch] dev -> mszczap/dev
* [new branch] gh-pages -> mszczap/gh-pages
* [new branch] master -> mszczap/master
MacBook:engi mszczap$ git branch -lvv
* master f6b0469 hello
Winnetou-iMac:engi mati$ git branch -rvv
mszczap/contribution-update fa4fd03 Update README with information on slack and trello
mszczap/dev 96c8133 Remove webgl task
mszczap/gh-pages 0fcb3cb Create gh-pages branch via GitHub
mszczap/master 1711595 Merge pull request #12 from paked/contribution-update
origin/HEAD -> origin/master
origin/contribution-update fa4fd03 Update README with information on slack and trello
origin/dev 96c8133 Remove webgl task
origin/gh-pages 0fcb3cb Create gh-pages branch via GitHub
origin/master 1711595 Merge pull request #12 from paked/contribution-update
forking a repo means forking with all branches (!)
Winnetou-iMac:engi mati$ git diff origin/master..mszczap/master
Do not use git pull --rebase
Often your history is rewritten locally and git pull --rebase will just make maters worse as it gets changes from the server
git fetch -p --all (fetches all repos and prunes deleted remote ones)
git fetch -p origin (fetches only from remote:origin and prunes)
git fetch -p --multiple origin upstream (fetches from remotes: (origin and upstream and prunes)
git config --global push.default upstream
Winnetoui_Mac:pube mati$ git cherry -v master pull-1054
+ d46cc5313ca6b258fdd4ae64271dd7099c7cf9f2 XCS-706: ab test for smart attrs
+ d0ecb464bc37082143e63da241c3c6556cbda6cd improvements to AB testing
git config --global --add hub.host github.corp.ebay.com
git config --global hub.protocol ssh


Chris Brown Welcomes Baby Number 2
by Modupeoluwa AdekanyeChris Brown’s second child has been born and he took to his Instagram to subtly shared this good news. According to TMZ, his ex, Ammika Harris, gave birth to their son and this will be their first child together.
Both Chris and Ammika shared cryptic messages on social media Thursday, seemingly announcing the birth of their baby boy.
Chris posted a pic of himself smiling and looking down at something off-camera with the caption of the date 11-20-19. Right after that, he shared a pic of himself wearing a hoodie with the word “BORN” embroidered on it.
Harris also alluded to the child’s birth on her Instagram Story, writing “I was in love when I first saw you.” The boy is Ammika’s first child. CB has a 5-year-old daughter named Royalty with Nia Guzman.
Ammika is an aspiring model and was Chris Brown’s ex before becoming the baby mama. The pregnancy news was revealed earlier this summer in a cryptic Instagram comment posted by Brown.


Compute various quantities and compare them to critical values
in order to determine if distributions in the different categories
are equal.
In the right slot, the quantitative field whose distributions are to be tested.
In the left slot, the qualitative field which provides the different categories.


NEXT STOP WONDERLAND A film review by Matt Williams
RATING: * * * 1/2* out of * * * *
Next Stop Wonderland is a nice little independent gem hidden in the post-Summer, pre-Fall film wasteland. A quirky and enjoyable romantic comedy, the film provides refreshing characterizations and plenty of humor.
Erin Castleton (Hope Davis) is hopelessly single. Her last boyfriend, Sean (Philip Seymour Hoffman), a radical environmentalist, has just ditched her...again. Erin feels despondent that she never seems to meet the right guy.
But wait...the perfect man for Erin seems to be always right around the corner. He's Alan Monteiro (Alan Gelfant), a part-time plumber with a passion for marine biology. But, although their paths keep crossing, Alan and Erin never quite meet.
 She places an ad in the personals section for Erin (without her knowledge). Erin is left to cope with the 64 various replies to her mother's slightly exaggerated ad.
In most romantic comedies, the leads meet cute, but don't get together until the end. Next Stop Wonderland takes the tack of Sleepless in Seattle, or Til There Was You in which the leads don't even MEET until the end. However, this actually works well... As usual, you know the couple is a perfect match, but the film doesn't have to introduce countless false obstacles to keep the characters from recognizing that fact.
However, the film has to do something to pass the time before "the meeting". Next Stop Wonderland handles the problem deftly...not only is the personal ad situation amusing, but it underscores the wonderful personalities involved all throughout the film.
Hope Davis dominates the film with her winning performance. She even overshadows her romantic costar, Alan Gelfant...mainly because she has the film's most engaging subplot. However, that's not to discount Gelfant's performance, which is good, but simply outshone.
The conversations and characters throughout Next Stop Wonderland would make it worth watching, even without the romance. The romantic elements of the film are simply icing on the cake. Seek out this little gem.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 600 reviews, and information on nearly 700 upcoming releases
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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Related links: index of all rec.arts.movies.reviews reviews


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What you were looking for is not right here, but keep looking.
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--- layout: post title: "How to change the Generate Property Stub refactoring code snippet in Visual Studio 2012" description: "This post describes how to change the code template for the 'Generate Property Stub' refactoring in Visual Studio 2012." date: 2013-04-23 14:00 UTC tags: [Productivity] image: "/content/binary/generate-property-stub-smart-tag.png" --- {% include JB/setup %}
{{ page.description }}
This is mostly a quick note for my own benefit (since I just spent half an hour chasing this down), but I'm posting it here on the blog, in case someone else might find it useful. Here's how to change the code snippet for the "Generate Property Stub" smart tag in Visual Studio 2012:
The template for this code is defined in
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC#\Snippets\1033 \Refactoring\GenerateProperty - Auto Property.snippet
You can open this file and hand-edit it, but contrary to previous versions of Visual Studio, it seems that you have to restart Visual Studio before the change takes effect.
If you do this, be sure that you know what you're doing; you'd be mucking around with the internals of your Visual Studio installation.


In this project, we were succesfully able to carry out vowel recognition through the analysis of formants. Before we proceed with a demonstration of the steps to our process of vowel recognition, here is a very brief description of formants.
The main distinction between vowels and consonants is that vowels resonate in the throat, while consonants are made by blocking and restricting air flow with the tongue, lips, and jaw. Consonants also resonate in the nasal passage (vowels do too, to a small extent, but that can be ignored in simple models). The time-varying system that is the vocal tract of a person speaking can be approximated by piece-wise time-invariant systems. In particular, a vowel can be modelled with the following system: A series of pulses (generated at the voice box) passes through a filter (the vocal tract) that is essentially a pipe. More precisely, a series of linked cylindrical pipes. (The throat is actually made of cylindrical pieces of cartilage interconnected by a dense layer of musculature.) This system is determined using an autoregressive model.
Formants are exactly the resonant frequencies of your vocal tract when you are pronouncing a vowel. Most adult males have a fairly similar frequency range for formants for given phonetic vowels. In our project, we record a word, manually extract the portion of the signal corresponding to the vowel, and calculate its first three formants. The program determines which phonetic vowel was pronounced based on a set of formant profiles. Essentially, one can think of the standard formant values in a 3-d plot with axes of first formant frequency, second formant frequency, and third formant frequency. We take the calculated formant values, and match it to the vowel it is closest to. A list of the vowels we check for is here. This also includes our results of vowel recognition with basic words. This will be discussed at the later.