get-ms2-spectrum
Usage:
crux get-ms2-spectrum [options] <ms2 file>
Description:
Extract one or more MS-MS spectra from an MS2 file by scan number. Optionally output summary statistics for each spectrum.
Input:
ms2 file
– File containing spectra to be searched.
Output:
stdout
– the requested spectrum or spectra in MS2 format.
Options:
-
get-ms2-spectrum options
--stats T|F
– Rather than the spectrum, output summary statistics to standard output. Each statistic is placed on a separate line, in the format: (e.g. "TIC:1000.0").
The following statistics are reported for the entire spectrum:- Precursor m/z
- Total Ion Current
- Base Peak Intensity
- Number of peaks
- Minimum m/z
- Maximum m/z
- Charge state
- Neutral mass
- Charged mass
- M+H+ mass
false
.
-
Search parameters
--scan-number <string>
– A single scan number or a range of numbers to be searched. Range should be specified as 'first-last' which will include scans 'first' and 'last'. Default =<empty>
.--remove-precursor-tolerance <float>
– This parameter specifies the tolerance (in Th) around each precursor m/z that is removed when the --remove-precursor-peak option is invoked. Default =1.5
.
-
Input and output
--verbosity <integer>
– Specify the verbosity of the current processes. Each level prints the following messages, including all those at lower verbosity levels: 0-fatal errors, 10-non-fatal errors, 20-warnings, 30-information on the progress of execution, 40-more progress information, 50-debug info, 60-detailed debug info. Default =30
.--spectrum-parser pwiz|mstoolkit
– Specify the parser to use for reading in MS/MS spectra. The default, ProteoWizard parser can read the MS/MS file formats listed here. The alternative is MSToolkit parser. If the ProteoWizard parser fails to read your files properly, you may want to try the MSToolkit parser instead. Default =pwiz
.--use-z-line T|F
– Specify whether, when parsing an MS2 spectrum file, Crux obtains the precursor mass information from the "S" line or the "Z" line. Default =true
.


{{also|vón|vốn|Vón|vȯņ|vōn|вон|вонь}}
==Friulian==
===Etymology===
Probably ultimately from a derivative of {{inh|fur|la|avus}}, or a related term, possibly a diminutive. Compare {{cog|it|avo}}, {{m|it|avolo}}. Cf. also archaic {{cog|ro|bun||grandfather}} (modern {{m|ro|bunic}}), Calabrian {{cog|scn|-}} and {{cog|pms|bona||grandmother}}.
===Noun===
{{fur-noun|m}}
# [[grandfather]]
#: {{syn|fur|nono}}
====Related terms====
* {{l|fur|ave}}
* {{l|fur|basavon}}
{{c|fur|Family}}
----
==German==
===Etymology===
From {{inh|de|gmh|von||from}}, from {{inh|de|goh|fon}}, {{m|goh|fona||from}}, from {{inh|de|gem-pro|*afanē}}, {{m|gem-pro|*fanē}}, {{m|gem-pro|*funē||from}}, compound of {{m|gem-pro|*afa}} (from {{der|de|ine-pro|*h₂epó||from, off}}) + {{m|gem-pro|*ana}} (from {{der|de|ine-pro|*h₂en-||on}}). Cognate with {{cog|osx|fana}}, {{m|osx|fan||from}}, {{cog|nl|van||from; of}}, {{cog|ofs|fon||from}}.
===Pronunciation===
* {{IPA|de|/fɔn/|[fɔn]}}
* {{audio|de|De-von.ogg|audio}}
===Preposition===
{{head|de|preposition}} {{tlb|de|+ dative}}
# [[from]]
#: {{ux|de|Ich fahre '''von''' Köln nach Hamburg.|I'm travelling '''from''' Cologne to Hamburg.}}
#: {{ux|de|Ich hab’s '''von''' meiner Schwester gehört.|I heard it '''from''' my sister.}}
# [[of]], belonging to (often replacing genitive; see usage note below)
#: {{ux|de|das Auto '''von''' meinem Vater|my father'''’s''' car / the car '''of''' my father|inline=1}}
# [[by]] (with passive voice)
#: {{syn|de|durch}}
#: {{ux|de|Das Hotel wird '''von''' der Firma bezahlt.|The hotel is paid for '''by''' the company.}}
# [[about]], [[of]] (a topic)
#: {{ux|de|Er hat '''von''' seiner Jugend erzählt.|He told '''about''' his youth.}}
#* '''1796''', Abraham Sahlstedt, ''Schwedische Grammatik nach dem Sprachgebrauch unserer Zeiten'', Lübeck & Leipzig, page 259:
#*: {{quote|de|'''Von''' dem Nomine Substantivo, oder dem Hauptworte.|'''About''' the substantive noun, or the [alternative term]. {{q|headline}}}}
# [[on]], [[with]] (a resource)
#: {{ux|de|'''Von''' welchem Geld soll ich als Arbeitsloser in Urlaub fahren?|Being unemployed, '''on''' what money should I go on holidays?}}
#: {{ux|de|Man kann nicht nur '''von''' Luft und Liebe leben.|You can’t live '''on''' air and love alone. {{q|proverb}}}}
====Usage notes====
* {{sense|from}} English “from” is generally expressed by means of {{m|de|von}}, but {{m|de|aus}} is often used with words for settlements and territories (like {{m|de|Land}}, {{m|de|Stadt}}, {{m|de|Dorf}}, as well as geographical names). One uses ''von'' when both the places “from which” and “''to'' which” are given: ''Dieser Zug fährt '''von''' Köln nach Hamburg.'' – “This train goes from Cologne to Hamburg.” If the further direction is not given, ''aus'' is the normal choice: ''Dieser Zug kommt '''aus''' Köln.'' – “This train is coming from Cologne.” The phrase: ''Dieser Zug kommt von Köln'' is not wrong but has a colloquial ring to it.
* {{sense|of}} The preposition {{m|de|von}} is used to replace [[possessive]] and [[partitive]] [[genitive]]s, sometimes also genitives with prepositions. Such replacement can be obligatory, optional, or restricted to the colloquial register:
: It is obligatory if the genitive cannot be expressed grammatically, which is the case with [[common noun]]s not preceded by any [[decline|declinable]] [[article]]s, [[determiner]]s, or [[adjective]]s: ''die Rechte von Kindern'' (“children’s rights”); ''der Geschmack von Käse'' (“the taste of cheese”). It is also true of most [[singular]] [[pronoun]]s and all [[personal pronoun]]s: ''der Geschmack von diesem'' (“the taste of this”); ''ein Freund von mir'' (“a friend of mine”).
: The replacement is optional in cases such as the following: 1.) with those pronouns that do have an applicable genitive form, chiefly plurals: ''die Arbeit vieler'' = ''die Arbeit von vielen'' (“the work of many”); 2.) with the numeral genitives {{m|de|zweier}} and {{m|de|dreier}} (see lemmas); 3.) with [[proper noun]]s, particularly geographical names: ''die Kirchen Roms'' = ''die Kirchen von Rom'' (“the churches of Rome”); 4.) with common nouns preceded only by an adjective: ''die Rechte kleiner Kinder'' = ''die Rechte von kleinen Kindern'' (“small children’s rights”).
: The replacement is colloquial in most other cases. Any possessive or partitive genitive can, per se, be replaced with a ''von''-phrase, which is normal in speech, and virtually obligatory in colloquial speech. In formal writing, however, it is generally considered incorrect and unusual. This is one of the gravest grammatical differences between colloquial and literary German.
* In older usage, [[Latin]] nouns often occurred in the [[ablative case]] after {{m|de|von}}. This is now obsolete, Latin case inflections never being used in contemporary German (except the genitives of a few personal names).
====Derived terms====
* {{l|de|vom}}
====See also====
* {{l|de|-s}}
----
==Hungarian==
===Pronunciation===
* {{hu-IPA}}
* {{hyphenation|hu|von}}
===Etymology 1===
{{unknown|hu|title=Of unknown origin.}}[{{R:Zaicz 2006}}]
====Verb====
{{hu-verb}}
# {{lb|hu|transitive}} to [[pull]], [[draw]], [[attract]]
#: {{syn|hu|húz}}
#: {{uxi|hu|fel'''vonta''' a vitorlát|he hoisted the sails|lit=he '''pulled/drew''' up the sails}}
#: {{uxi|hu|félre'''vonta''' a barátját|she '''drew/pulled''' her friend aside}}
#: {{uxi|hu|magához '''vonta''' a lányt|he '''drew/pulled''' her closer to himself}}
#: {{uxi|hu|magára '''vonta''' a tanára figyelmét|he '''drew/attracted''' his teacher’s attention}}
# {{lb|hu|transitive}} to [[cover]], [[envelop]], [[enclose]], [[encircle]], [[surround]]
#: {{syn|hu|fed|befed|beborít}}
#: {{uxi|hu|csokoládéval '''vonta''' be a felszínét|she '''covered''' its surface with chocolate}}
#: {{uxi|hu|élőláncot '''vontak''' az épület köré|they formed a human chain around the building|lit=they '''enclosed''' the building with…}}
#: {{uxi|hu|a varázsló pajzsot '''vont''' maga köré|the wizard '''surrounded''' himself with a shield}}
=====Conjugation=====
{{hu-conj-ok|v|o|n}}
=====Derived terms=====
{{der3|hu
|vonaglik
|vonakodik
|vonal
|vonás
|vonat
|vonít
|vonyít
|vonó
|vonogat
|vontat
|vonul
|vonszol
|vonz
}}
{{hu-verbpref|sep=3|von|be|bele|el|fel|félre|föl|ki|le|meg|össze|vissza}}
{{qualifier|Expressions}}:
{{der3|hu
|felelősségre von
|gyököt von
|kérdőre von
|kétségbe von
|levonja a tanulságot
|maga után von
|magával von
|vállat von
}}
===Etymology 2===
Borrowed from {{bor|hu|ko|원||pos=also {{m|ko|圓}} in [[hanja]]}}, from {{der|hu|zhx}} {{zh-l|圓|circle” > “round coin}}.
====Noun====
{{head|hu|noun}}
# [[won]] (currency)
===References===
{{cln|hu|three-letter words}}
----
==Icelandic==
===Etymology===
From {{inh|is|non|ván}}, from {{der|is|gem-pro|*wēniz}}.
===Pronunciation===
* {{IPA|is|/vɔːn/}}
* {{rhymes|is|ɔːn}}
===Noun===
{{is-noun|f|vonar|vonir}}
# [[hope]], [[expectation]]
====Declension====
{{is-decl-noun-f-s2|v|o|n}}
----
==Norwegian Nynorsk==
===Etymology===
From {{der|nn|non|ván}}, {{m|non|vón}}, {{m|non|ón}}
===Pronunciation===
* {{IPA|no|/ʋuːn/}}
===Noun===
{{nn-noun-f1}}
# [[hope]]
#: {{syn|nn|håp}}
# [[expectation]]
===References===
* {{R:The Nynorsk Dictionary}}
----
==Romani==
===Pronoun===
{{head|rom|pronoun|cat2=personal pronouns}}
# [[they]]
====See also====
{{Romani personal pronouns}}
----
==Slovak==
===Pronunciation===
* {{sk-IPA}}
===Adverb===
{{sk-adv}}
# [[out]], [[outwards]]
----
==Swedish==
===Etymology===
Borrowed from {{bor|sv|de|von}}.
===Preposition===
{{head|sv|preposition}}
# [[of]]; only used in [[surname]]s of [[nobility]]
#: {{syn|sv|af|de}}
#: {{ux|sv|Carl '''von''' Linné|t=Carl Linnaeus}}
===Anagrams===
* {{anagrams|sv|a=nov|nov}}
----
==Westrobothnian==
===Pronunciation===
* {{IPA|gmq-bot|/vúːn/|[ʋɯ̞́ᵝŋn]|[ʋɯ́ᵝːɳ]|[ʋóʊ̯ːn]}} {{gmq-bot-pronu-note}}
*: {{rhymes|gmq-bot|úːn}}
===Etymology 1===
From {{inh|gmq-bot|non|ván}}.
====Noun====
{{head|gmq-bot|noun|definite singular|vona|g=f}}
# [[hope|Hope]], [[expectation]] that something will happen, [[opportunity]].
#: {{ux|gmq-bot|Dräp ej '''vona'''!|t=Don't lose '''hope'''!}}
=====Related terms=====
* {{l|gmq-bot|venäs}}
* {{l|gmq-bot|vonvara}}
* {{l|gmq-bot|vänt}}
===Etymology 2===
====Noun====
{{head|gmq-bot|noun|definite singular|vona|g=f|plural|voon|definite plural|vonen}}
# {{lb|gmq-bot|agriculture}} A [[determined]] [[task]], [[undertaking]].
## A [[distance]] of a [[field]] or [[meadow]], of which every worker takes on their share for harvesting
## The [[width]] of a [[scythe]], or his [[part]] of the [[field]], that a haymaker mows where he walks.
## As great a [[width]] of the [[field]] [[strip]], as the sowing man sows in the direction he is going.
# {{non-gloss definition|Synonym of {{m|gmq-bot|vone}}.}}
=====Derived terms=====
* {{l|gmq-bot|slottervon}}
* {{l|gmq-bot|sävon||the part or the width of the field, which is delegated to the one who sows}}
===References===
* [[w:sv:Ernst Rietz|Rietz, Johan Ernst]], “[http://runeberg.org/dialektl/0852.html von]”, “[http://runeberg.org/dialektl/0870.html von]”, in ''Svenskt dialektlexikon: ordbok öfver svenska allmogespråket'' [''Swedish dialectal lexicon: a dictionary for the Swedish lects''] (in Swedish), 1962 edition, Lund: C. W. K. Gleerups Förlag, published 1862–1867, page 822, 840


{% extends "app/layout.html" %} {% block content %} Azure App Service {% load static %}
Learn more
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video.
Try for Free!
WebCast
Tutorial
UserVoice


Courses
Fall 2019
- CIS 677: Randomized Algorithms (graduate)
- CIS 550: Databases (graduate)
- CIS 521: Artificial Intelligence (graduate)
- CIS 400: Senior Design
- CIS 380: Operating Systems
- CRIM 270: Biopsychosocial Criminology
Spring 2019
- CIS 520: Machine Learning (graduate)
- CIS 530: Computational Linguistics (graduate)
- CIS 501: Computer Architecture (graduate)
- STAT 474: Modern Regression (graduate-equivalent)
- STAT 432: Mathematical Statistics (graduate-equivalent)
- STAT 435: Forecasting Methods (graduate-equivalent)
Fall 2018
- CIS 545: Big Data Analytics (graduate)
- CIS 240: Computer Architecture
- NETS 212: Scalability & Cloud Computing
- FNCE 250: Investment Management
- ECON 039: Medical Economics
Spring 2018
- CIS 320: Algorithms
- CIS 350: Software Design & Engineering
- NETS 150: Markets & Social Systems on the Internet
- STAT 431: Statistical Inference
- FNCE 100: Corporate Finance
Fall 2017
- CIS 121: Data Structures & Algorithms
- CIS 262: Automata, Computability & Complexity
- STAT 430: Probability Theory
- EAS 203: Engineering Ethics
- SOCI 233: Criminology
- ECON 001: Microeconomics
Spring 2017
- CIS 120: Programming Languages & Technology
- CIS 160: Mathematical Foundations of Computer Science
- MATH 241: Partial Differential Equations
- STAT 101: Business Statistics
- NELC 062: Land of the Pharaohs
Fall 2016
- CIS 110: Introduction to Computer Programming
- MATH 240: Linear Algebra & Differential Equations
- SPAN 140: Intermediate Spanish
- WRIT 013: Writing Seminar, Philanthropy and Its Discontents


Your birthday:
Please enter a starting and an ending year, then click the button.
Start year:
End year:
Compute how many times your birthday will occur, for each day of the week


Class relative to a store user.
More...
#include <person.h>
|
|
static const unsigned long | DEFAULT_TAX_ID = 999999999 |
| | The default taxpayer identification number.
|
| |
|
|
PersonRole | _role |
| | The person role.
|
| |
Class relative to a store user.
◆ Person()
| Person::Person |
( |
std::string |
name, |
|
|
unsigned long |
taxID, |
|
|
Credential |
credential, |
|
|
PersonRole |
role |
|
) |
| |
Creates a new Person object.
- Parameters
-
| name | the name |
| taxID | the taxpayer identification number |
| credential | the login credentials (username and password) |
◆ getCredential()
Gets the person login credentials.
- Returns
- the login credentials
◆ getDefaultCredential()
| virtual Credential Person::getDefaultCredential |
( |
| ) |
|
|
pure virtual |
Gets the default login credentials.
- Returns
- the default login credentials
Implemented in Worker, Client, and Boss.
◆ getName()
| std::string Person::getName |
( |
| ) |
const |
Gets the person name.
- Returns
- the name
◆ getRole()
| PersonRole Person::getRole |
( |
| ) |
|
Gets the person role.
- Returns
- the person role
◆ getTaxId()
| unsigned long Person::getTaxId |
( |
| ) |
const |
Gets the person taxpayer identification number.
- Returns
- the taxpayer identification number
◆ isLogged()
| bool Person::isLogged |
( |
| ) |
const |
Checks if the person is logged in.
- Returns
- true, if the person is logged in; false, otherwise
◆ operator<()
| bool Person::operator< |
( |
const Person & |
p2 | ) |
const |
One person is less than the other according to the comparison of their names by alphabetical order, in case both of their taxpayer identification number are equal to the default one.
Otherwise, if one person taxpayer identification number is different from the default, one person is less than the other if their taxpayer identification number is lass than the other's.
- Parameters
-
| p2 | the person to compare with |
- Returns
- true, if person is less than p2; false, otherwise order; false, otherwise.
◆ operator==()
| bool Person::operator== |
( |
const Person & |
p2 | ) |
const |
Two persons are equal if their name are equal, in case both of their taxpayer identification number are equal to the default one.
Otherwise, if one person taxpayer identification number is different from the default, two persons are equal if their taxpayer identification numbers are equal.
- Parameters
-
| p2 | the person to compare with |
- Returns
- true, if persons are equal; false, otherwise.
◆ setCredential()
| void Person::setCredential |
( |
const Credential & |
credential | ) |
|
Sets the person login credentials.
- Parameters
-
| credential | the login credentials |
◆ setLogged()
| void Person::setLogged |
( |
bool |
logged | ) |
|
Sets the person log status.
- Parameters
-
| logged | the log status (true, if it is logged int; false, otherwise) |
◆ setName()
| void Person::setName |
( |
const std::string & |
name | ) |
|
Sets the person name.
- Parameters
-
◆ setTaxID()
| void Person::setTaxID |
( |
unsigned long |
taxID | ) |
|
Sets the person taxpayer identification number.
- Parameters
-
| taxID | the taxpayer identification number |
The documentation for this class was generated from the following files:
- model/person/person.h
- model/person/person.cpp


 The image was inserted as a canvas to serve as a reference when I was modelling. The canvas image was set to a height of 50mm, fulfilling the height requirement. Disclaimer, as this task requires copying certain features off an image and many curves, it will be impossible to dimension and constrain every sketch.
Inserted Canvas
Next, the sketch for the base was drawn. As the revolve tool was being used, I only drew one side of the base. The base was drawn using the line tool, fillet tool for the rounded corners and the 3-point arc tool was used for the curved parts The base was dimensioned to 30mm in diameter in this step. After the sketch was done, I revolved it around the Z axis by 360 degrees to get a full base.
Base Sketch
Base Revolve
Next was hollowing out the base. To do this, the shell tool was used, and a wall thickness of 1mm was chosen arbitrarily
Before Shell
After Shell
Moving onto the main head of the knight piece. As the head is entirely made of long, continuous curves, the spline tool was used to draw the sketch. I wanted the mane of the horse to be of different thickness, so for this step the mane was ignored during the sketch. The base was projected so that the sketch can anchor to points on the base. The sketch was then extruded symmetrically to a total width of 5mm, fulfilling the requirement for head thickness. The extrusion was joined to the base.
Head Sketch
Head Extrude
Afterwards, in order to make the ears, I first added a plane using the plane at angle tool. I tried my best to make the plane tangential to the ear curve. Afterwards, the basic sketch for the gap between the ears was constructed, then cut outwards on both sides in order to make the ear shape.
Adding Plane
Ear Sketch
Cut
Onto the mane. The head was projected such that the sketch for the mane can anchor to points on the head. To get one long continuous curve, the spline tool was used throughout the whole sketch. The sketch was then extruded to half the head's thickness, which is 2.5mm.
Mane Sketch
Mane Extrude
Finally, to knock off the hard 90 degree angles on the head, the chamfer tool was used on majority of the edges.
Edges being Chamfered
Close up of the Chamfers
And with that, the model is done, below is the embedded 3D model.
Modelling a Laser Cut Box with Lid
First a sketch was done to make sure that I have a plan.
Next, parameters were set in the program.
Making a basic box without the lid first.
First a rectangle sketch was drawn and extruded for the front face. The sketch was dimensioned using the parameters length and height mentioned above. A tab and the tab spacing for the length and height is drawn as well, but for now the whole rectangle is extruded to the thickness set earlier.
Front Sketch
Front Extrude
The tab spacing on the length was then cut. This allows the tab spacing to be a feature instead of being baked into the sketch, which will allow me to use rectangular pattern to pattern it along the length.
Cutting out the tab
Patterning
The same was done to the tab on the height, but the feature was patterned in 2 directions such that the opposite side of the front face also has tabs. And with that the front face is done for now.
Cutting out the tab
Patterning
Moving onto the side, first a new component was made using the front face as a parent. The sketch was dimensioned using the parameters width and height mentioned above and is anchored to the edge face of the front tab. In this case, only a tab and the tab spacing for the width. Just like earlier, the whole rectangle is extruded to the thickness, intersecting the front face.
Side Sketch
Side Extrude
The tab spacing on the width was cut, then rectangularly patterned to get the tabs on the width of the box.
Cutting out the tab
Patterning
To mirror the side plate, a plane that bisects the front face was first constructed using midplane. The side plate was then mirrored to the other side.
Adding the plane
Mirroring
The same was then done to the front plate.
Adding the plane
Mirroring
To get the remaining tabs on the sides, the combine tool was used. Using the front plate and its mirror as tool bodies and keeping tools, the tabs are cut out of the side plate.
The same was done on the other side.
Cutting the tabs.
Cutting the tabs
To make the bottom, a new component was made. A rectangle was sketched and constrained to the edges of the sides I already had. The rectangle was then extruded to the thickness, intersecting the existing sides.
Bottom sketch
Bottom extrude
The tabs on the bottom were then cut using the combine tool. The existing sides were chosen as the tool bodies and the tools were kept after the cut. With that, the main box assembly was done.
Cutting out tabs on the bottom
Finished base
To make a movable lid on the box, I kept it simple and made a “Square peg in round hole” hinge. I went back to the original side sketch and added the hole for the hinge. The shape was constructed by first inscribing a construction square with a side length being the thickness in a circle which will become the hole. The construction square represents the “pin” of the lid. Another circle was then drawn concentric to the hole 50% of the thickness larger than the hole. The top of the square was then constrained collinearly to the top edge of the front and the edge of the larger circle is dimensioned thickness length away.
The front extrude was then updated with the new sketch and the rest of the model updated itself accordingly.
Hinge sketch
Extrude
To make the lid, first a new component was made. The sketch was drawn on the top of the box. Cut edges were projected. A tab was constructed on the lid in order to make it easier to open.
Projection
Lid sketch
Finally, the sketch was extruded to the thickness, completing the lid. With the lid completed, the box is done for now, at least for the construction of it.
Lid Extrude
Final box
Embedded 3D model
Other 3D Models done
Nametag
Laptop Stand
Useless Mug


Welcome to the Programming Language Suggester Quiz.
Finish the quiz to determine which programming language you should learn!
Congratulations for completing the quiz, !
You should be a programmer at years old!
Possible Outcomes:
- Python
- Java
- C#
- JavaScript
- Scala
Note:


Woman thanks Derby hospice for looking after her dying dad so well
It gave him a last lease of life
by Noah MartinA Derby woman has given an emotional thanks to the hospice who gave her dying dad a last lease of life.
Louise Mellor, 34, said the care her father received at the Treetops Hospice during his final months "helped him to live while he was dying".
She said her 70-year-old dad, Dennis Mellor, would always make an effort to go to the hospice even when he struggled to get out of bed.
When her father, who died in February, was diagnosed with cancer earlier this year, Miss Mellor said it came as a massive shock.
She said: "Dad had a really bad cough which initially was thought to be a chest infection but within a couple of months, he was diagnosed with Mesothelioma."
Mesothelioma is a rare form of incurable lung cancer and Mr Mellor was given between three to nine months to live.
"We decided as a family that we’d assume it was three months, because then we would make every day count up to then," Miss Mellor said.
Once he had been diagnosed, she said her father accepted it quickly because he wanted to make the most of the time he had left.
"It was inspiring and his attitude helped me to accept his diagnosis, we had always been close, my mum used to say were were like peas in a pod," she said.
After researching places where her dad could go to improve his quality of life, Miss Mellor found the Treetops Hospice in Risley.
Mr Mellor started visiting Treetops every week and his daughter said it made a huge difference to his life.
"My dad looked forward to going, he would come back so excited to tell us all about what he'd done each week.
"It was somewhere he went where he could still be himself, not his illness," Miss Mellor said.
As well as talking "a lot about the food", Mr Mellor tried things that he "would never have" before like Reiki and therapeutic massage.
Miss Mellor said: "It was so nice to see him happy and that helped me to cope a little better."
It was only when the illness took hold that Miss Mellor said she realised just how important Treetops was to her father.
She said it kept him going, even on days when he wouldn't have been able to get out of bed, Treetops arranged transport for him.
"He kept setting himself little goals and one of his last goals was to have Christmas dinner at Treetops.
"It was just as important to him as having Christmas with me and mum," she said.
Mr Mellor made it to the Christmas dinner but that was the last time he visited the hospice.
"Treetops helped dad to live while he was dying, they were a massive part of his last year of life and whatever he needed, nothing was too much trouble.
"I genuinely can't thank them enough."
Miss Mellor urged people to support their local hospice so that the "amazing gift" could be there for other families.
To donate to the Treetops Hospice, visit https://www.treetopshospice.org.uk/support-us/donate/.


My resume is linked here. I highlight my edcuational background at Marquette University, the projects I completed as a partial fulfillment of my Ph.D in Biomedical Engineering, and awards and recognition as a leader in my department and in my laboratory.
View ResumeMy curriculum vitae (CV) is linked here. This includes a more detailed list of my past teaching responsibilities, a list of my projects as an undergraduate and a graduate student, and a list of abstracts and publications in the field of neuroimaging.
View CVI have included here snippets of algorithms and projects I developed as partial fulfillment of my Ph.D dissertation and other projects I have done on the side. Some of these highlight ways I improved processing efficiency, algorithms I implemented and others I developed in neuroimaging, and even some web-development projects.
View Project


Topic 1 OLS
1.1 SLR
We define our column vector of parameters \(\mathbf{w}\) (\(\boldsymbol{\beta}\) in econometrics):
\[\mathbf{w} = \begin{bmatrix} w_{0} \\ w_{1} \end{bmatrix}\]
A single observation \(\mathbf{x_n}\) is: \[ \mathbf{x_n} = \begin{bmatrix} 1 \\ x_{n} \end{bmatrix} \] And thus the value predicted by the model can be written as:
\[ f(x_n; w_0, w_1) = w_0 + w_1x_n = \begin{bmatrix} w_0 & w_1 \end{bmatrix} \begin{bmatrix} 1 \\ x_1 \end{bmatrix} = \mathbf{w}^T\mathbf{x_n} \] The matrix representing all the input data \(\mathbf{X}\) and the column vector of outcomes \(\mathbf{t}\) (\(\mathbf{y}\) in econometrics) are:
\[ \mathbf{X} = \begin{bmatrix} x_{1}^T \\ x_{2}^T \\ \vdots \\ x_{N}^T \end{bmatrix} = \begin{bmatrix} 1 & x_{1} \\ 1 & x_{2} \\ \vdots & \vdots\\ 1 & x_{N} \end{bmatrix} \]
\[ \mathbf{t} = \begin{bmatrix} t_{1} \\ t_{2} \\ \vdots \\ t_{N} \end{bmatrix} \]
The loss function \(\mathcal{L}\) becomes \[ \mathcal{L} = \frac{1}{N}(\mathbf{t} -\mathbf{X})^T(\mathbf{t} -\mathbf{X}) \]
The column vector of values predicted by the function \(f(x_n; w_0, w_1)\) are:
\[\mathbf{Xw} = \begin{bmatrix} 1 & x_{1} \\ 1 & x_{2} \\ \vdots & \vdots \\ 1 & x_{N} \end{bmatrix} \times \begin{bmatrix} w_0 \\ w_1 \end{bmatrix} = \begin{bmatrix} w_0 & w_1x_1 \\ w_0 & w_1x_2 \\ \vdots & \vdots \\ w_0 & w_1x_N \end{bmatrix} \]
\[ \underset{(N \times 2)}{\mathbf{X}} \times \underset{(2 \times 1)}{\mathbf{w}} = \underset{(N \times 1)}{\mathbf{Xw}} \] The column vector of residual is
\[ \mathbf{t} - \mathbf{Xw} = \begin{bmatrix} t_1 - w_0 + w_1x_1 \\ t_2 - w_0 + w_1x_2 \\ \vdots \\ t_N - w_0 + w_1x_N \end{bmatrix} \]
The sum of squared errors can be expressed as: \[\sum_{n=1}^{N} (t_n - (w_0 + w_1x_1))^2 \\\]
\[ = \begin{bmatrix} t_1 - (w_0 + w_1x_1) & t_2 - (w_0 + w_1x_2) & ... & t_N - (w_0 + w_1x_N ) \end{bmatrix} \times \begin{bmatrix} t_1 - (w_0 + w_1x_1) & \\ t_2 - (w_0 + w_1x_2) & \\ \vdots \\ t_N - (w_0 + w_1x_N ) \end{bmatrix} \\ = (\mathbf{t} - \mathbf{Xw})^T(\mathbf{t} - \mathbf{Xw})\]
We can now write our loss function compactly with matrix notation, which produces a scalar \((1 \times 1)\) value:
\[ \underset{(1 \times 1)}{\frac{1}{N}} \underset{(1 \times N)}{(\mathbf{t} - \mathbf{Xw})^T} \underset{(N \times 1)}{(\mathbf{t} - \mathbf{Xw})} = \underset{(1 \times 1)}{\mathcal{L}} \] We can expand the sum of squared errors as follows:
\[ (\mathbf{t} - \mathbf{Xw})^T(\mathbf{t} - \mathbf{Xw})\]
\[= (\mathbf{t}^T - (\mathbf{Xw})^T)(\mathbf{t} - \mathbf{Xw})\]
\[=(\mathbf{t}^T - (\mathbf{w}^T \mathbf{X}^T))(\mathbf{t} - \mathbf{Xw})\]
\[\begin{equation} =\underset{(1 \times 1)}{\mathbf{t}^T\mathbf{t}} - \underset{(1 \times N)}{\mathbf{t}^T} \underset{(N \times 2)}{\mathbf{X}} \underset{(2 \times 1)}{\mathbf{w}} - \underset{(1 \times 2)}{\mathbf{w}^T} \underset{(2 \times N)}{\mathbf{X}^T} \underset{(N \times 1)}{\mathbf{t}} + \underset{(1 \times 2)}{\mathbf{w}^T} \underset{(2 \times N)}{\mathbf{X}^T} \underset{(N \times 2)}{\mathbf{X}} \underset{(2 \times 1)}{\mathbf{w}} \end{equation}\]Note the following:
each of the term becomes \(1 \times 1\)
the terms \(\mathbf{t}^T \mathbf{Xw}\) and \(\mathbf{w}^T \mathbf{X}^T\mathbf{t}\) are transposes of each other and are scalars. So they are the same value and can be combined.
So, sum of squared residuals can be written as \[\mathbf{t}^T\mathbf{t} - 2\mathbf{w}^T\mathbf{X}^T\mathbf{t} + \mathbf{w}^T\mathbf{X}^T\mathbf{X}\mathbf{w}\]
Hence, the loss function becomes:
\[\mathcal{L} = \frac{1}{N}\mathbf{t}^T\mathbf{t} - 2\mathbf{w}^T\mathbf{X}^T\mathbf{t} + \mathbf{w}^T\mathbf{X}^T\mathbf{X}\mathbf{w}\]
Now that we have defined our loss function in matrix notation, we still want to find the value of w that will minimize the loss. Like before, this involves taking the derivative (now with respect to the vector \(\mathbf{w}\)), setting the derivative equal to 0, and then solving for \(\mathbf{w}\). Thus, we must delve into doing vector Calculus.
1.2 Review: Derivatives
Lets say we have a function of one variable that produces a scalar output (real-valued input is mapped to real-valued output):
\[ f: \mathbb{R} \rightarrow \mathbb{R} \] The derivative of this function tells us how the function changes with respect to that variable. The derivative is:
\[ f^{\prime}(x) = \lim_{h\to 0} \frac{f(x + h) - f(x)}{h} \]
Which can be rearranged to say that the derivative at a \(f^{\prime}(x)\) satisfies the following:
\[ \lim_{h\to 0} \frac{f(x + h) - f(x) - f^{\prime}(x)h} {h} = 0 \]
Gradient
Let’s say we have a function of a vector that produces a scalar output (n-dimensional real-valued input is mapped to one real-valued output):
\[ f: \mathbb{R}^{n} \rightarrow \mathbb{R} \]
The gradient \(\nabla f(x)\) is the multidimensional derivative and it tells us how the function changes with respect to each component in the vector. It satisfies the following equation:
\[ \lim_{\| h \|\to 0} \frac{\|f(x + h) - f(x) - f^{\prime}(x)h\|} {\| h \|} = 0 \]
Again, we have a function of a vector that produces a scalar \(f:\mathbb{R}^{n} \rightarrow\mathbb{R}\). The input to the function is a vector:
\[\mathbf{w} = (w_1, w_2, ..., w_n)^T\]
The gradient of the function with respect to \(\mathbf{w}\) at \(\mathbf{w}\) is itself a vector:
\[ \nabla f(\mathbf{w}) = \frac{\partial{f}}{\partial{\mathbf{w}}} = ( \frac{\partial{f}}{\partial{w_1}}, \frac{\partial{f}}{\partial{w_2}}, ..., \frac{\partial{f}}{\partial{w_n}} )^T = \begin{bmatrix} \frac{\partial{f}}{\partial{w_1}} \\ \frac{\partial{f}}{\partial{w_2}} \\ \vdots \\ \frac{\partial{f}}{\partial{w_n}} \end{bmatrix} \] Like the derivative, the gradient represents the slope of the tangent of the graph of the function. More precisely, the gradient points in the direction of the greatest rate of increase of the function, and its magnitude is the slope of the graph in that direction.
The gradient will always have the same dimensions as the input vector. In the following examples, \(\mathbf{w}\) and \(\mathbf{w}\) are 2 x 1 matrices.
1.3 Back to SLR
Earlier, we found the total OLS regression loss function to be:
\[\mathcal{L} = \frac{1}{N}\mathbf{t}^T\mathbf{t} - 2\mathbf{w}^T\mathbf{X}^T\mathbf{t} + \mathbf{w}^T\mathbf{X}^T\mathbf{X}\mathbf{w}\]
We will take the derivative of the loss with respect to the vector \(\mathbf{w}\), set the derivative equal to the \(\mathbf{0}\) vector, and then solve for \(\mathbf{w}\).
If \(\mathbf{w}\) is a \(2 \times 1\) vector, then \(\nabla{f}\) must also be \(2 \times 1\).
Now note that \(\underset{(1 \times 2)}{\mathbf{w}^T}\underset{(2 \times N)}{\mathbf{X}^T}\underset{(N \times 1)}{\mathbf{t}}\) could be treated as \(\underset{(1 \times 2)}{\mathbf{w}^T}\underset{(2 \times 1)}{\mathbf{x}}\)
\[ \frac{\partial f}{\partial\mathbf{w}} = 0 - \frac{N}{2}X^T\mathbf{t} + \frac{N}{2}X^TX\mathbf{w} \]


Football: Denmark out to win on familiar Irish turf
COPENHAGEN: Familiarity has breed a healthy respect but Denmark are still setting out to win when they take on the Republic of Ireland in Dublin in a decisive Euro 2020 qualifier on Monday, midfielder Thomas Delaney said.
Denmark need only draw the game at the Aviva Stadium to book their place at next year's European Championship and eliminate their hosts.
It will be the sixth meeting in two years between the two countries, who have drawn four of them.
The other was a startling 5-1 triumph for the Danes in Dublin almost two years to the day that ensured qualification for the World Cup in Russia.
"We hate to play Ireland at the moment, we've played them so much recently," said the 28-year-old Borussia Dortmund midfielder Delaney, born in Denmark with American heritage and whose name would not took out of place in any Irish line-up.
"We know each other well, and that goes both ways, so we don't have the upper hand in that regard.
"I don't fear Ireland, but I have a great respect. I know it's going to be a difficult game.
"It's cliche but it's going to be a war. They are going to bring everything."
Denmark beat Gibraltar 6-0 in their penultimate qualifier in Copenhagen on Friday to leave them top of Group D and one point away from a Euro 2020 berth – important for a country whose capital will be one of the tournament's host cities.
"It's a big advantage for us that we only need a draw but it won't change our approach. We'll go into the game, wanting to win," Delaney added.
"We don't want to be 0-0 with just 10 minutes against Ireland and facing massive pressure from them. That's not how we'd like the game to develop."
TRIUMPH
Confidence garnered from the 5-1 triumph will be a factor too, Delaney added.
"I'm not saying it's going to be the same game but we know we can do it. And that will play a part," he said.
He had previously described trying to break down Ireland's defence like "opening a tin of beans with your hands".
On Monday, however, the Irish must attack, likely with a long ball approach over the midfield.
"It's another kind of cliche in football that if you control the midfield you win the game and that's a big point for us. That's how we controlled the game when we won 5-1. We had the upper hand in the middle and were very sharp on counter attacks," the Dane said.
"If we get the same game plan going I'll be happy although I'm not expecting it to be the same."


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
TAYLOR JOHNSTON
05.25.17
With approximately 24,000 total students on Ohio University’s campus, students are bound to see some pretty cool things during their time in Athens. Here are some of the best places to observe others on and near campus:
The Athens County Courthouse, 1 S. Court St., is located right in the middle of Court Street, making it a prime people-watching location. Throughout the year, the area in front of the courthouse is the site of many protests spearheaded by local activists due to its central location.
Benches wrap around the trees between the courthouse and the Athens County Board of Elections, where Athens resident Kayla Graham sat and watched the cars and people pass by on Court Street.
“I live right down the road,” Graham said. “It’s a nice day, so might as well. I just like to watch people.”
Another bonus is that it is free to sit at the location, Graham said.

Patrick Connolly | FILE
(left to right) Caleb Amos, Cody Sutton, Marideth Rock and Lori Linnevers, all of Athens, Ohio, enjoy the view out of the Bagel Street Deli front window during HallOUween 2014.
Some local businesses on Court Street, such as Brenen’s Coffee Cafe and Whit’s Frozen Custard, have tables outside where students will often sit if the weather is nice enough.
“We sat outside because it’s such a nice day out, and it’s nice to take a break from studying and projects and all that,” Jane Dickerson, a rising junior studying graphic design, said while she sat outside Brenen’s Coffee Cafe.
Certain days are better for people-watching than others, including Fests and HallOUween.
“We were sitting here by the window on Palmer Place Fest, and people were just running around super drunk outside taking pictures and wearing weird stuff,” Dickerson said. “That was pretty funny.”
If they’re really lucky, students will be blessed with the presence of a furry friend scampering down the street with its owner.
“I love dog watching,” Dickerson said. “Definitely the dogs.”
College Green is the hub of OU. For more than 200 years, students have enjoyed the shady trees and brick sidewalks. When the weather is nice, students can be spotted swinging in a hammock doing homework, picnicking on blankets or sunbathing on College Green.
“I like seeing all the people out,” Carly Rankin, a rising senior studying biology, said while she sat at the Civil War Monument. “That’s one of my favorite things about Athens. When it’s nice out, all these people are just congregated all the time.”
Evan Schmidt, a 2017 OU alumnus, laid back on a picnic blanket on College Green eating Chipotle with some friends. He said that was one of his favorite things to do in Athens.
“(College Green) is the eclectic college feel of everyone hanging out on grass whenever they want,” he said. “It’s the most stereotypical college feel in Athens.”
Back to The Orientation GuideLanding Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


{% extends "tutorial.html" %} {% block headauthor %}Paul Irish{% endblock %} {% block credits %} * Credits: * - {% endblock %} {% block headtitle %}Best Practices for a Faster Web App with HTML5{% endblock %} {% block pagetitle %}Best Practices for a Faster Web App with HTML5{% endblock %} {% block pagebreadcrumb %}Best Practices for a Faster Web App with HTML5{% endblock %} {% block date %}June 18th, 2010{% endblock %} {% block updated %}October 29, 2013{% endblock %} {% block browsersupport %} varies {% endblock %} {% block html5badge %} {% endblock %} {% block head %}{% endblock %} {% block content %}
While good, this article only tells part of the performance story. View html5rocks.com/features/performance for the whole picture of performance improvements.
Much of HTML5 aims to deliver native browser support for components and techniques that we have achieved through JavaScript libraries thus far. Using these features, when present, can end up delivering a much faster experience for your users. In this tutorial, I won't recap the excellent performance research that you've seen at Yahoo's Exceptional Performance site or Google's Page Speed docs and Let's make the web faster site. Instead I'll focus on how putting HTML5 and CSS3 to use today can make your web apps more responsive.
While cookies have been used to track unique user data for years, they have serious disadvantages. The largest flaw is that all of your cookie data is added to every HTTP request header. This can end up having a measurable impact on response time, especially during XHRs. So a best practice is to reduce cookie size. In HTML5 we can do better than that: use sessionStorage
and localStorage
in place of cookies.
These two web storage objects can be used to persist user data on the clientside for the length of the session or indefinitely. Their data is not transferred to the server via every HTTP request, either. They have an API that will make you happy to be rid of cookies. Here are both APIs, using cookies as a fallback.
// if localStorage is present, use that if (('localStorage' in window) && window.localStorage !== null) { // easy object property API localStorage.wishlist = '["Unicorn","Narwhal","Deathbear"]'; } else { // without sessionStorage we'll have to use a far-future cookie // with document.cookie's awkward API :( var date = new Date(); date.setTime(date.getTime()+(365*24*60*60*1000)); var expires = date.toGMTString(); var cookiestr = 'wishlist=["Unicorn","Narwhal","Deathbear"];'+ ' expires='+expires+'; path=/'; document.cookie = cookiestr; }
CSS Transitions give you an attractive visual transition between two states. Most style properties can be transitioned, like manipulating the text-shadow, position, background or color. You can use transitions into pseudo-selector states like :hover
or from HTML5 forms, :invalid
and :valid
(example with form validation states). But they're much more powerful and can be triggered when you add any class to an element.
div.box { left: 40px; -webkit-transition: all 0.3s ease-out; -moz-transition: all 0.3s ease-out; -o-transition: all 0.3s ease-out; transition: all 0.3s ease-out; } div.box.totheleft { left: 0px; } div.box.totheright { left: 80px; }
By adding the toggling the classes of totheleft
and totheright
you can move the box around. Compare this amount of code with that of a JavaScript animation library. Clearly, the number of bytes sent to the browser is much less when using CSS-based animation. Additionally, with GPU level acceleration, these visual transitions will be as smooth as possible.
Web SQL Database and IndexedDB introduce databases to the clientside. Instead of the common pattern of posting data to the server via XMLHttpRequest
or form submission, you can leverage these clientside databases. Decreasing HTTP requests is a primary target of all performance engineers, so using these as a datastore can save many trips via XHR or form posts back to the server. localStorage
and sessionStorage
could be used in some cases, like capturing form submission progress, and have seen to be noticeably faster than the client-side database APIs.
For example, if you have a data grid component or an inbox with hundreds of messages, storing the data locally in a database will save you HTTP roundtrips when the user wishes to search, filter, or sort. A list of friends or a text input autocomplete could be filtered on each keystroke, making for a much more responsive user experience. Certainly view the Web SQL Database tutorial for a comprehensive guide at putting this to work.
// Give me a new array of all values multiplied by 10. [5, 6, 7, 8, 900].map(function(value) { return value * 10; }); // [50, 60, 70, 80, 9000] // Create links to specs and drop them into #links. ['html5', 'css3', 'webgl'].forEach(function(value) { var linksList = document.querySelector('#links'); var newLink = value.link('http://google.com/search?btnI=1&q=' + value + ' spec'); linksList.innerHTML += newLink; }); // Return a new array of all mathematical constants under 2. [3.14, 2.718, 1.618].filter(function(number) { return number < 2; }); // [1.618] // You can also use these extras on other collections like nodeLists. [].forEach.call(document.querySelectorAll('section[data-bucket]'), function(elem, i) { localStorage['bucket' + i] = elem.getAttribute('data-bucket'); });
In most cases, using these native methods yield significantly faster speeds than your typical for loop like: for (var i = 0, len = arr.length; i < len; i++)
.
Native JSON parsing (via JSON.parse()
) replaces the json2.js file we've been used to including for a while. Native JSON is much faster and safer than using an external script and it's already in IE8, Opera 10.50, Firefox 3.5, Safari 4.0.3 and Chrome.
Native String.trim
is another good example of being not only faster than the longhand JS equivalents, but also potentially more correct. None of these JavaScript additions are technically HTML5, but they fall within the umbrella of technologies that are coming available recently.
Two years back, Wordpress used Google Gears to add a feature called Wordpress Turbo. It essentially cached many of the resources used in the admin panel locally, speeding up file access to them. We can replicate that behavior with HTML5's applicationCache and the cache.manifest.
The app cache has a slight advantage over setting Expires
headers; because you make a declarative file indicating the static resources that can be cacheable, browsers can optimize that heavily, perhaps even precaching them ahead of your use.
Consider your site's basic structure as a template. You have data that may change but the HTML around it typically remains pretty consistent. With the app cache you could treat your HTML as a series of pure templates, cache the markup via the cache.manifest, and then deliver JSON over the wire to update the content. This model is very similar to what an iPhone or Android native news app does.
Read the application cache tutorial for a guide on putting this to use.
In leading browsers, many visual operations can leverage GPU-level acceleration, which can make highly dynamic visual operations much smoother. Hardware acceleration has been announced for Firefox Minefield and IE9 and Safari added hardware-level acceleration in version 5. (It arrived in Mobile Safari much earlier.) Chromium has just added 3D transforms and hardware acceleration for Windows, with the other two platforms coming soon.
GPU acceleration kicks in only under a fairly restricted set of conditions, but 3D transforms and animated opacity are the most common ways to trip the switch. A somewhat hacky but unobtrusive way to turn it on is:
.hwaccel { -webkit-transform: translateZ(0); }
No guarantees, though. :)
With hardware acceleration supported and enabled, animated translation, rotation, scaling and opacity will definitely be smoother with GPU compositing. They will have the benefit of being handled directly on the GPU and don't require redrawing of the layer contents. However, any property that affects the layout of the page will still be relatively slow.
Web Workers have two significant benefits: 1) They are fast. 2) While they chug on your tasks, the browser remains responsive. Grab a look at the HTML5 Slide Deck for Workers in action.
Some possible situations where you could use Web Workers:
HTML5 introduces a new set of input types, upgrading our set of text
, password
, and file
to include search
, tel
, url
, email
, datetime
, date
, month
, week
, time
, datetime-local
, number
, range
and color
. Browser support for these vary, with Opera implementing most at the moment. With feature detection you can determine if the browser has native support (and will offer a UI like a datepicker or color picker) and if not, you can continue to use the JS widgets to accomplish these common tasks.
In addition to the types, a few useful features have been added to our normal input fields. The input placeholder
offers default text that clears when you click into them and autofocus
focuses the caret on page load so you can interact immediately with that field. Input validation is another thing making its way in with HTML5. Adding the required
attribute means the browser won't let the form submit until that field is filled in. Also the pattern
attribute lets you specify a custom regular expression for the input to be tested against; with invalid values blocking form submission. This declarative syntax is a big upgrade not only in source readability but also a significant reduction of JavaScript necessary. Again, you can use feature detection to serve a fallback solution if there isn't native support for these present.
Using the native widgets here means you don't need to send the heavy javascript and css required to pull off these widgets, speeding up page load and likely improving widget responsiveness. To try out some of these input enhancements check out the HTML5 Slide deck.
CSS3 delivers many new styling possibilities that supplant our use of images to represent the visual design accurately. Replacing a 2k image with 100 bytes of CSS is a huge win, not to mention you've removed yet another HTTP request. A few of the properties to familiarize yourself with are:
For example you, can create very polished buttons via gradients and replicate many other effects sans-images. Browser support for most of these is very solid, and you can use a library like Modernizr to catch browsers that don't support the features in order to use images in a fallback case.
WebSockets was designed in response to the growing popularity of Comet. There are indeed advantages to using WebSockets now, instead of the Comet over XHR model.
WebSockets has very light framing, and so the bandwidth it consumes is often lighter than that of XHR. Some reports indicate a 35% reduction in bytes sent across the wire. Additionally, in higher volume the performance difference when it comes to message delivery is more apparent; XHR has been recorded in this test with having an aggregate time of 3500% longer than WebSockets. Lastly, Ericcson Labs considered the performance of WebSockets and found the ping times over HTTP were 3-5 times larger than over WebSockets due to more substantial processing requirements. They concluded that the WebSocket protocol was clearly more suitable for realtime applications.
For measurement and performance recommendations, you should certainly be using the Firefox extensions Page Speed and YSlow. Additionally, Speed Tracer for Chrome and DynaTrace Ajax for IE provide a more detailed level of logging of analysis.
The guide to Chrome's Developer Tools should help orient you with the resources tab and will soon cover the new Audits panel.
{% endblock %}


@main(title = "All tournaments", nav = "") {
| Tournament Id | Name | Status | Start date | End date | League |
|---|
| Tournament Id | Name | Status | Start date | End date | League |
|---|
| Tournament Id | Name | Status | Start date | End date | League |
|---|
| Tournament Id | Name | Status | Start date | End date | League |
|---|


Westview SODA is a club that brings together talented programmers, designers, artists, and writers to create cool projects..
We build apps, games, robotics, apis, you name it. We compete in programming competitions as well. Think of us like the Software Hub of Westview
We meet every Tuesday in Ms. Lutgen's room L102, after school from 3:10 to 4:30.
Our next meeting will be on Tuesday, November 7 in room L102. This will be an informational meeting detailing our activities.
Feel free to contact us below or come to a meeting on Tuesday in Room L102 after school.


个人信息
您好，欢迎登录Spring Boot管理系统。
博主：
嘟嘟MD
当前框架：基于bootstrap3的ACE模板改造
SpringBoot干货群（427480430），大把学习电子书等着你
扫扫博主公众号，获取博主最新博客通知
快捷方式
SpringBoot教程
通知公告
Alex Doe
changed his profile photo.
an hour ago
Susan Smith
is now friends with Alex Doe.
2 hours ago
Alex Doe
joined
5 hours ago
Alex Doe
uploaded a new photo.
Take a look
5 hours ago
David Palms
left a comment on Alex's wall.
8 hours ago
Alex Doe
published a new blog post.
Read now
11 hours ago
Alex Doe
upgraded his skills.
12 hours ago
Alex Doe
logged in.
12 hours ago
Alex Doe
logged out.
16 hours ago
Alex Doe
logged in.
16 hours ago
×
配置快捷方式
全选
菜单
企业信息管理
企业信息管理


I'm Stuart, a developing developer.
I'd used HTML and CSS a little in my previous role as an IT Technical Support and really enjoyed it. I love solving problems and trying to find effective, elegant solutions. I'm currently on a full stack software development bootcamp with io Academy in Bath and am really looking forward to putting my new found skills to the test and continuing my learning journey in the real world.


The ratings you entered most closely match those of<EMAIL_ADDRESS>%@ (The group you are the most unlike is that of the<EMAIL_ADDRESS>%@
Go read the Skill-Building Tips section to learn how you can improve all your skills.
If you've already read The Tips, go directly to Step 2 and put the app to work by completing a Scorecard for your latest negotiation. Tap Back above and then Home to get started.


Servlet Lifecycle
The lifecycle of a servlet is controlled by the container in which the servlet has been deployed. When a request is mapped to a servlet, the container performs the following steps.
If an instance of the servlet does not exist, the web container
Loads the servlet class.
Creates an instance of the servlet class.
Initializes the servlet instance by calling the init method. Initialization is covered in Creating and Initializing a Servlet.
Invokes the service method, passing request and response objects. Service methods are discussed in Writing Service Methods.
If it needs to remove the servlet, the container finalizes the servlet by calling the servlet’s destroy method. For more information, see Finalizing a Servlet.
Handling Servlet Lifecycle Events
You can monitor and react to events in a servlet’s lifecycle by defining listener objects whose methods get invoked when lifecycle events occur. To use these listener objects, you must define and specify the listener class.
Defining the Listener Class
You define a listener class as an implementation of a listener interface. Table 15-1 lists the events that can be monitored and the corresponding interface that must be implemented. When a listener method is invoked, it is passed an event that contains information appropriate to the event. For example, the methods in the HttpSessionListener interface are passed an HttpSessionEvent, which contains an HttpSession.
Object |
Event |
Listener Interface and Event Class |
|---|---|---|
Web context |
Initialization and destruction |
javax.servlet.ServletContextListener and ServletContextEvent |
Web context |
Attribute added, removed, or replaced |
javax.servlet.ServletContextAttributeListener and ServletContextAttributeEvent |
Session |
Creation, invalidation, activation, passivation, and timeout |
javax.servlet.http.HttpSessionListener, javax.servlet.http.HttpSessionActivationListener, and HttpSessionEvent |
Session |
Attribute added, removed, or replaced |
javax.servlet.http.HttpSessionAttributeListener and HttpSessionBindingEvent |
Request |
A servlet request has started being processed by web components |
javax.servlet.ServletRequestListener and ServletRequestEvent |
Request |
Attribute added, removed, or replaced |
javax.servlet.ServletRequestAttributeListener and ServletRequestAttributeEvent |
Use the @WebListener annotation to define a listener to get events for various operations on the particular web application context. Classes annotated with @WebListener must implement one of the following interfaces:
javax.servlet.ServletContextListener javax.servlet.ServletContextAttributeListener javax.servlet.ServletRequestListener javax.servlet.ServletRequestAttributeListener javax.servlet..http.HttpSessionListener javax.servlet..http.HttpSessionAttributeListener
For example, the following code snippet defines a listener that implements two of these interfaces:
import javax.servlet.ServletContextAttributeListener; import javax.servlet.ServletContextListener; import javax.servlet.annotation.WebListener; @WebListener() public class SimpleServletListener implements ServletContextListener, ServletContextAttributeListener { ...
Handling Servlet Errors
Any number of exceptions can occur when a servlet executes. When an exception occurs, the web container generates a default page containing the following message:
A Servlet Exception Has Occurred
But you can also specify that the container should return a specific error page for a given exception.


WiseLoop JavaScript Premium Weather Widget is an AngularJS based weather condition and forecast script.
Its flexibility and easiness makes it perfect for displaying local or searched weather information in websites, blogs, portals, web and mobile apps.
It features GEO location, address search, localization, animations, theme support with really nice included themes that are responsive and compatible with mobile devices.
Main Features
- HTML5 Geo Location with fallback to Telize GeoIP location;
- location search - get weather for anything: country, city, zone, area, zipcode, company name, address, street etc.
- up to 7 days forecast data;
- temperature, wind and pressure measure units: Celsius/Fahrenheit, kmph/mph, mBar/inHg;
- localization support;
- 12 nice designed and responsive themes included;
- dynamic backgrounds according to current weather conditions;
- fade-in animations;
- very extensible - build your own theme or customize existing ones;
- JSON API - data service to build your own weather script;
- cross-browser support;
- responsive and mobile friendly;
- powered by AngularJS and Bootstrap;
- weather data provided by forecast.io;
- location search data provided by google maps API;
- very easy to use;
- exhaustive documentation with many samples.
Requirements
- A JavaScript enabled internet browser;
- AngularJS 1.2.2 or newer;
- Bootstrap 3 (CSS only).
A Basic Usage Sample

Information
- Project Name: WiseLoop JavaScript Premium Weather Widget
- Project Website: http://wiseloop.com/product/javascript-premium-weather-widget
- Online Demonstration: http://wiseloop.com/demo/javascript-premium-weather-widget
- Author: WiseLoop, http://wiseloop.com/support/javascript-premium-weather-widget
- Tags: weather forecast script, forecast script, weather script, weather forecast, weather condition, javascript weather forecast, javascript weather condition, javascript weather news, javascript weather widget, javascript weather API, javascript forecast widget, javascript geolocation, weather angularjs module, forecast angularjs module, geolocation angularjs module, weather angularjs API


| HBASE-11496 |
HBASE-9745 broke cygwin CLASSPATH translation |
Minor |
. |
Dave Latham |
Dave Latham |
| HBASE-11479 |
SecureConnection can't be closed when SecureClient is stopping because InterruptedException won't be caught in SecureClient#setupIOstreams() |
Minor |
security |
Jianwei Cui |
Jianwei Cui |
| HBASE-11565 |
Stale connection could stay for a while |
Major |
Client |
Jimmy Xiang |
Jimmy Xiang |
| HBASE-10645 |
Fix wrapping of Requests Counts Regionserver level metrics |
Major |
regionserver |
deepankar |
deepankar |
| HBASE-11360 |
SnapshotFileCache causes too many cache refreshes |
Major |
. |
churro morales |
churro morales |
| HBASE-11633 |
[0.94] port HBASE-11217 Race between SplitLogManager task creation + TimeoutMonitor |
Critical |
. |
Lars Hofhansl |
Lars Hofhansl |


Specials is ....
Toggle navigation
Home
About
Menu
Cater
Contact Us
Starters
Vegetable Egg Rolls (2)
$3.25
Cream Cheese Wonton (4)
$3.95
Edamame
$3.75
Crispy Shrimp Roll (4)
$6.75
Chinese Buffalo Wings (6)
$6.75
Juicy Dumpling (6)
$6.75
Xiaolongbao
Close
Beef, Pork & Chicken
Ginger Flavored Fried Chicken
$9.95
Ginger Pork
$9.95
Sweet & Sour Pork
$9.95
Mongolian Beef
$9.95
Kon Pao Chicken or Beef
$9.95
(Option for both)
Broccoli Chicken or Beef
$9.95
(Option for both)
Green Pepper Shredded Beef
$9.95
Chicken or Beef with Fresh Baby Bok Choy
$9.95
(Option for both)
Chicken with Green Beans
$9.95
Close
Vegetarian Entrees
Tofu Skin
$9.95
Braised Green Beans
$9.25
Szechwan Bean Curd
$9.25
Tofu with Spicy Brown Sauce
Hot & Spicy Japanese Eggplant
$9.25
Mixed Vegetables
$9.95
Close
Red Moon Specialties
Salt & Pepper Shrimp
$12.45
Deep fried crispy, sautéed with fresh jalapeño and green onion
Seafood Clay Pot
$13.25
Shrimp, fish filet, and calamari with assorted vegetables in an oyster sauce
Kon Pao San Yan
$12.45
Shrimp, white meat chicken and beef in a spicy sauce with peanuts
Honey Walnut Shrimp
$12.45
Tender shrimp fried in a light batter, sautéed in a creamy seafood sauce and crunchy honey walnuts
Red Moon Chicken
$9.95
Slices of white meat chicken sautéed with vegetables in a spicy brown sauce
Red Moon Beef
$10.25
Slices of crispy beef sautéed with tangerine peel in the chef's special sauce
Crispy Garlic Chicken
$9.95
White meat chicken fried in a light batter served with assorted vegetables in a spicy garlic sauce
Thai Spicy Chicken
$9.95
White meat chicken in a spicy sauce with fresh basil
Salt & Pepper Pork Chop
$9.95
Deep fried crispy, sautéed with fresh jalapeño and green onion
Spicy Beef
$9.95
Slices of tender beef assorted vegetables sautéed in a spicy sauce
Sweet & Pungent Shrimp
$12.45
Tender shrimp fried in a light batter, sautéed in sweet & pungent sauce
Pan Fried Fish FIlet or Steam Fish Filet
$13.95
Ginger and onion sauce
Black Pepper Beef
$9.95
Slices of tender beef with assorted vegetables, sautéed with chef's special black pepper sauce
Sweet & Pungent Chicken
$9.95
Slices of tender chicken breasts fried in a light batter, sautéed in sweet & pungent sauce
Close
Noodles and Rice
Ramen Noodles
$7.95
Soy Sauce Flavor, Miso Flavor, Ground Pork Ramen
Tantan Noodles
$8.45
Spicy sesame flavor, in a ground pork meat sauce
Mandarin Style Meat Sauce Noodle
$8.45
Ground pork meat sauce noodle
Champon Soup Noodles
$9.45
Assorted chef's special noodles soup
Assorted or Shrimp Pan Fried Noodles
$9.95
Chicken or Beef Pan Fried Noodle
$9.25
Assorted or Shrimp Chao Men
$9.95
Assorted Soup Noodles
$9.95
Singapore Style Noodles
$9.45
Rice thin noodle in a curry flavor sauce
Yakisoba Stir Fried Noodles With Vegetables in Yakisoba Sauce
$9.95, $9.25, or $8.95
Assorted or Shrimp Chicken or Beef Vegetable Yakisoba, or Vegetable Noodles
House Fried Rice or Shrimp Fried Rice
$9.95
Chicken or Beef Fried Rice
$9.25
Rice Cake with Pork
$9.45
Close
Drinks and Sides
Steamed Rice
$1.50
Miso Soup
$2.25 or $7.25
Cup or Bowl
Egg Drop Soup
$2.25 or $7.25
Cup or Bowl
Hot & Sour Soup
$8.25
Bowl
Soft Drink Iced Milk Tea
$3.45
Bowl
Coke, Diet Coke, Arizona Iced Tea, Sprite, BTL Water
$1.95
Close
Menu
Starters
Beef, Pork & Chicken
Vegetarian Entrees
Red Moon Specialties
Noodles and Rice
Drinks and Sides
Starters
Vegetable Egg Rolls (2)
$3.25
Cream Cheese Wonton (4)
$3.95
Edamame
$3.75
Crispy Shrimp Roll (4)
$6.75
Chinese Buffalo Wings (6)
$6.75
Juicy Dumpling (6)
$6.75
Xiaolongbao
Beef, Pork & Chicken
Ginger Flavored Fried Chicken
$9.95
Ginger Pork
$9.95
Sweet & Sour Pork
$9.95
Mongolian Beef
$9.95
Kon Pao Chicken or Beef
$9.95
(Option for both)
Broccoli Chicken or Beef
$9.95
(Option for both)
Green Pepper Shredded Beef
$9.95
Chicken or Beef with Fresh Baby Bok Choy
$9.95
(Option for both)
Chicken with Green Beans
$9.95
Vegetarian Entrees
Tofu Skin
$9.95
Braised Green Beans
$9.25
Szechwan Bean Curd
$9.25
Tofu with Spicy Brown Sauce
Hot & Spicy Japanese Eggplant
$9.25
Mixed Vegetables
$9.95
Red Moon Specialties
Salt & Pepper Shrimp
$12.45
Deep fried crispy, sautéed with fresh jalapeño and green onion
Seafood Clay Pot
$13.25
Shrimp, fish filet, and calamari with assorted vegetables in an oyster sauce
Kon Pao San Yan
$12.45
Shrimp, white meat chicken and beef in a spicy sauce with peanuts
Honey Walnut Shrimp
$12.45
Tender shrimp fried in a light batter, sautéed in a creamy seafood sauce and crunchy honey walnuts
Red Moon Chicken
$9.95
Slices of white meat chicken sautéed with vegetables in a spicy brown sauce
Red Moon Beef
$10.25
Slices of crispy beef sautéed with tangerine peel in the chef's special sauce
Crispy Garlic Chicken
$9.95
White meat chicken fried in a light batter served with assorted vegetables in a spicy garlic sauce
Thai Spicy Chicken
$9.95
White meat chicken in a spicy sauce with fresh basil
Salt & Pepper Pork Chop
$9.95
Deep fried crispy, sautéed with fresh jalapeño and green onion
Spicy Beef
$9.95
Slices of tender beef assorted vegetables sautéed in a spicy sauce
Sweet & Pungent Shrimp
$12.45
Tender shrimp fried in a light batter, sautéed in sweet & pungent sauce
Pan Fried Fish FIlet or Steam Fish Filet
$13.95
Ginger and onion sauce
Black Pepper Beef
$9.95
Slices of tender beef with assorted vegetables, sautéed with chef's special black pepper sauce
Sweet & Pungent Chicken
$9.95
Slices of tender chicken breasts fried in a light batter, sautéed in sweet & pungent sauce
Noodles and Rice
Ramen Noodles
$7.95
Soy Sauce Flavor, Miso Flavor, Ground Pork Ramen
Tantan Noodles
$8.45
Spicy sesame flavor, in a ground pork meat sauce
Mandarin Style Meat Sauce Noodle
$8.45
Ground pork meat sauce noodle
Champon Soup Noodles
$9.45
Assorted chef's special noodles soup
Assorted or Shrimp Pan Fried Noodles
$9.95
Chicken or Beef Pan Fried Noodle
$9.25
Assorted or Shrimp Chao Men
$9.95
Assorted Soup Noodles
$9.95
Singapore Style Noodles
$9.45
Rice thin noodle in a curry flavor sauce
Yakisoba Stir Fried Noodles With Vegetables in Yakisoba Sauce
$9.95, $9.25, or $8.95
Assorted or Shrimp Chicken or Beef Vegetable Yakisoba, or Vegetable Noodles
House Fried Rice or Shrimp Fried Rice
$9.95
Chicken or Beef Fried Rice
$9.25
Rice Cake with Pork
$9.45
Drinks and Sides
Steamed Rice
$1.50
Miso Soup
$2.25 or $7.25
Cup or Bowl
Egg Drop Soup
$2.25 or $7.25
Cup or Bowl
Hot & Sour Soup
$8.25
Bowl
Soft Drink Iced Milk Tea
$3.45
Bowl
Coke, Diet Coke, Arizona Iced Tea, Sprite, BTL Water
$1.95
Top


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/I.20don't.20get.20all.20these.20types.20of.20union.html ---
I noticed recently that I often make a real meal of arguments involving arbitrary unions. I am beginning to wonder whether I'm missing some tips and tricks.
I have a goal
f : Y -> X I : set (set X), ⊢ f ⁻¹' ⋃₀ I ∈ F.sets
and if I rw preimage_sUnion
I get
⊢ (⋃ (t : set X) (H : t ∈ I), f ⁻¹' t) ∈ F.sets
Later on the goal gets reduced to
⊢ f ⁻¹' U ⊆ ⋃ (t : set X) (H : t ∈ I), f ⁻¹' t
and I have a proof that U \in I
but now the sUnion appears to be a Union and apply subset_Union
fails. Am I already in some kind of trouble when I have ⋃ (t : set X) (H : t ∈ I), ...
? I don't know where to learn about how to control all these unions sensibly.
Is this now a bUnion or something? Aah bingo, apply subset_bUnion_of_mem
works. I find all this very confusing.
There are three kinds of arbitrary union. sUnion
is ⋃₀ S
, which applies when S is a set of sets and takes the union of all of them. Union
is ⋃ i:I, f i
which applies when f : I -> set A
and is in some sense the most type theoretically natural union of a family. bUnion
is written ⋃ t ∈ S, f t
and works when f : I -> set A
and S : set I
, that is, it is a union bounded by a set in the index. However, because of the way the lean parser works on relations in the binders, this is just a double Union
, with the second one ranging over proofs that t ∈ S
, that is, ⋃ (t : I), ⋃ (H : t ∈ S), f t
. So you can usually apply Union
theorems to these expressions, and in that sense bUnion
is just a shortcut for this special case.
Can we have unions over two or more predicates on a type? Are these also called bUnion? Should they be avoided?
Like I said, bUnion
is really just a special case of Union
. You can iterate the Union
construction as many times as you like
The problem I run into is that I find myself taking a union over all proofs that s is in S, for example. That can't be right
that's correct
Notice that a union over proofs is equal to the body, if the proposition is true, and is empty otherwise
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


This version of the ontology contains no mappings to the extended classes. This version was released to have a simplified version of the ontology. Please see the
official release documentation to see the documentation of each term.
The ontology with no mappings can be downloaded in
rdf/xml,
TTL,
JSON-LD and
n-triples.


This is my target résumé
In red are the skills I want to get
Main programming languages: C++, C, Java, Python;
Web-based application scripting and database: PHP, Node.js, HTML, XML, CSS, JavaScript, MySQL;
Low-level assembly programming languages: MIPS, Z80;
Frameworks and Libraries: OpenCV, OpenGL, TestNG, JUnit, XNA, jQuery, Qt, Boost, Backbone.js;
IDEs and text editors: Eclipse, Microsoft Visual Studio, NetBeans, QtCreator, Kile(LaTeX);
Version control systems: GIT, SVN;
Operating systems: Linux (Arch, Debian, Fedora), Windows (XP, 7, 8);
Automated build systems: ANT, Make;
System administration: Management of SSH, CUPS, DNS, LDAP, MySQL, HTTP (proxy/web), POP/SMTP/IMAP, Firewall, VPN services, Puppet;
Minor and miscellaneous skills: Unix shell scripts, Python, NoSQL(MongoDB, Redis), PostgreSQL, C#, applet, servlet, JSP, Other DBMS, UML, MPI parallel processing library;
Either a Linux or CISCO certification, still undecided
PADI Open Water diver
International Certificate of Competency (sailing licence)
See my current full résumé
• +353 872 736 848 • Born MCMLXXXIX (1989)


The sizeable angry fish seems to be moving slow, but he reaches you in record time. The tip of his nose is almost touching the front of your diving mask.
He seems very angry, and as he is about to say something, he stops and looks down, down towards your right foot, down to see the crab pointing towards the underwater forest. The big fish turns to get a better look.
As soon as you, the big fish, and the crab are looking towards the underwater forest in unison, you hear a sound. It's the little fish yelling just as he reaches the entrance to the forest.
"I made it! Where the plants are big and tall and close together! I knew I would. Nobody will ever find me!"
With that, he tips the hat and swims into the forest. The big fish sees the hat tip, makes an offended gasping sound, and slowly rushes off towards the underwater forest. You watch the big fish swim into the forest and then look down at the small crab.


{% extends "rate/base.html" %} {% block title %} Detail of {{mince_pie}} {% endblock title %} {% block content %}
| Created By | Date Created | Average Rating | Free Text Review |
|---|---|---|---|
| {{review.created_by}} | {{review.created_at|date:"d/m/y"}} | {{review.rating_mean}} | {{review.free_text_review|linebreaks}} |
No reviews complete for these mince pies yet!
{% endif %}


Data Interval:
1
Callback Interval:
150
The System will use Data Interval and Callback Interval when the display is off. The power consumption can be reduced by changing the intervals.


About
This site was built by Samuel Jackson (slj11) for Assignment 2 of CS15020. All pages in this site are valid to XHTML 1.1 and CSS 2 W3C standards. I approached this project by designing a basic html template for a single page, styling it to look nice. and then copying the XHTML structure to all the child pages and link them with a single stylesheet.
I found this task relatively easy to complete, having plenty of previous experianc ein XHTML and CSS development back in college, however I did run into one small snag in attempting to make the footer "stick" to the bottom of the page, no matter how large the content area is. To solve this I used a small work around by Ryan Fait.
This site was developed using Notepad++ and Firefox Nightly builds. It has also been tested in all of the latest stable releases of popular web browsers, including Chrome, Firefox and IE.
The Javascript used in this page uses the traditional event registration model. I wanted to use the more up recent W3C event registration model, however, due to backwards compatibility issues with IE, this was not an option for this assignment. The traditional event registration model is standard in nearly all browsers and removes the use of inline Javascript; thus seperating the stucture from functionality.


Shellac lets you extend Chrome with unix shell commands. Right click anywhere on a page to bring up the Shellac context menu.
Check out the documentation for info on adding your own commands. Shellac is open source. Patches welcome!
Local server at : unknown


Doner Place
Welcome, Pesho! |
[logout]
Home
Order Status
Login
Register
Your orders
22.Oct 2017 10:35
Chicken doner, 21 cm
Pending
Details
22.Oct 2017 10:12
Lamb doner, 17 cm
In transit
Details
21.Oct 2017 16:15
Chicken doner, 24 cm
Delivered
Details
20.Oct 2017 10:35
Beef doner, 21 cm
Delivered
Details


Maricruz have a lot of cards, she always uses her cards to build pyramids as shown in the following image:
A pyramid card of 3 levels. She always wonder how many cards does she need to make a pyramid card of N levels. Your task is to answer that question.
The first line of the input contains an integer 1 <= T <= 1,000. Each of the following T lines will have an integer 1 <= N <= 1,000,000.
For each case, output a single line consisting of the number of cards needed to build a pyramid card of level N modulo 1,000,007.
Input Example 2 3 7 Output Example 15 77


Before Change
include a constant or trend. If provided, these variables are
used as additional features in the regression operation.
y = check_array(y, ensure_2d=False, force_all_finite=False, copy=True, dtype=DTYPE)
// if exog was included, check the array...
if exogenous is not None:
exogenous = check_array(exogenous, ensure_2d=True, force_all_finite=False,
After Change
include a constant or trend. If provided, these variables are
used as additional features in the regression operation.
y = column_or_1d(check_array(y, ensure_2d=False, force_all_finite=False, copy=True, dtype=DTYPE))
n_samples = y.shape[0]
// if exog was included, check the array...
if exogenous is not None:
exogenous = check_array(exogenous, ensure_2d=True, force_all_finite=False,
copy=False, dtype=DTYPE)
// determine the CV args, if any
cv = self.out_of_sample_size
scoring = get_callable(self.scoring, VALID_SCORING)
cv = max(min(cv, n_samples), 0) // don"t allow negative, don"t allow > n_samples
def _fit_wrapper():
// these might change depending on which one


This is my favorite method of traversing NAT connections. Rpivot is a reverse socks proxy tool that allows you to tunnel traffic via socks proxy. It connects back to your machine and binds a socks proxy on it. It works just like ssh -D but in opposite direction. Server side:
python server.py --proxy-port 1080 --server-port 9999 --server-ip <IP_ADDRESS>
Client side:
python client.py --server-ip <ip> --server-port 9999
As a result, a socks4 proxy service will be bound server side on port 1080.


Off-Topic
Problem Solved
(4)
Need Help?
(8)
Hexus bad rn
(2)
Window 7
(3)
Unfe games
(1)
Nevermind
(2)
Hexus wont login
(1)
Hexus Help Pls
(3)
Exploit
(1)
Hexus wont open!
(2)


Introduction
In team sports, the term home advantage – also called home ground, home field, home-field advantage, home court, home-court advantage, defender’s advantage or home-ice advantage – describes the benefit that the home team is said to gain over the visiting team. This benefit has been attributed to psychological effects supporting fans have on the competitors or referees; to psychological or physiological advantages of playing near home in familiar situations; to the disadvantages away teams suffer from changing time zones or climates, or from the rigors of travel; … In baseball, in particular, the difference may also be the result of the home team having been assembled to take advantage of the idiosyncrasies of the home ballpark, such as the distances to the outfield walls; most other sports are played in standardized venues. From Wikipedia - Home advantage
This time we will also talk about the competitions between the Braves and the Yankee, and the table below has the two possible schedules for each game of the series. (NYC = New York City, ATL = Atlanta)
| Overall advantage | Game 1 | Game 2 | Game 3 | Game 4 | Game 5 | Game 6 | Game 7 |
|---|---|---|---|---|---|---|---|
| Braves | ATL | ATL | NYC | NYC | NYC | ATL | ATL |
| Yankees | NYC | NYC | ATL | ATL | ATL | NYC | NYC |
Let PB be the probability that the Braves win a single head-to-head match-up with the Yankees, under the assumption that home-field advantage doesn’t exist. Let PBH denote the probability that the Braves win a single head-to-head match-up with the Yankees as the home team (H for home). Let PBA denote the probability that the Braves win a single head-to-head match-up with the away team (A for away).
| Game location | No advantage | Advantage |
|---|---|---|
| ATL | PB | PBH = PB $\times$ 1.1 |
| NYC | PB | PBA = 1 - (1 - PB)$\times$ 1.1 |
library(dplyr)
library(data.table)
Now let’s look at the questions.
Questions
1. Compute analytically the probability that the Braves win the world series when the sequence of game locations is {NYC, NYC, ATL, ATL, ATL, NYC, NYC}. Calculate the probability with and without home field advantage when PB = 0.55. What is the difference in probabilities?
First, load the .csv file to make sure what’s the situations we need to calculate, which represents the data we will generate later.
# Get all possible outcomes
apo <- fread("all-possible-world-series-outcomes.csv")
And we need to define a sequence of game locations. This time, the sequence should be {NYC, NYC, ATL, ATL, ATL, NYC, NYC}. As a result of that the Braves is an Atlanta team, we use 1 to represent Atlanta and use 0 to represent NYC.
# Home field indicator
hfi <- c(0,0,1,1,1,0,0) #{NYC, NYC, ATL, ATL, ATL, NYC, NYC}
Now we use 0.55 to define the PB and generate other probabilities by PB as we talked before.
# P_B
pb <- 0.55
advantage_multiplier <- 1.1 # Set = 1 for no advantage
pbh <- pb * advantage_multiplier
pba <- 1 - (1 - pb) * advantage_multiplier
In this part, we will use the parameters we defined before. In every row of data.table, we use the different probabilities which influenced by home-field advantage to calculate the overall probabilities of each situation.
# Calculate the probability of each possible outcome
apo[, p := NA_real_] # Initialize new column in apo to store prob
for(i in 1:nrow(apo)){
prob_game <- rep(1, 7)
for(j in 1:7){
p_win <- ifelse(hfi[j], pbh, pba)
prob_game[j] <- case_when(
apo[i,j,with=FALSE] == "W" ~ p_win
, apo[i,j,with=FALSE] == "L" ~ 1 - p_win
, TRUE ~ 1
)
}
apo[i, p := prod(prob_game)] # Data.table syntax
}
Then we output the probability that the Braves wins the World Series under the influence of home field advantage.
# Probability of overall World Series outcomes
p_home <- purrr::flatten_dbl(apo[, sum(p), overall_outcome][1,2])
p_home
The probability is r p_home
.
Then we can calculate the probability when there is no home field advantage.
p_nohome <- 1 - pbinom(3, 7, 0.55)
p_nohome
The probability is r p_nohome
. Definitely, when home-field advantage exists, the probability that the Braves win the World Series is lower, r p_home
, than the probability without home-field advantage. Given PB=0.55, the probability of the Braves winning the World Series with a home field advantage r (p_home-p_nohome)*100
a less likely than the probability of the Braves winning the World Series without a home-field advantage.
2. Calculate the same probabilities as the previous question by simulation.
In this part, we will use simulation to test the probability.
Given the location sequence, we use different winning probabilities of the head to head games and randomly generate the result of each game. Repeat the process 100000 times, we can get the approximate solution of the probability with home field advantage influence.
set.seed(314)
sml_list_h <- rep(NA, 100000)
for (i in seq_along(sml_list_h)){
round <- rep(NA,7)
for(j in 1:7){
p_win <- ifelse(hfi[j], pbh, pba)
round[j] <- rbinom(1,1,p_win)
}
sml_list_h[i] <- ifelse(sum(round)>=4, 1, 0)
}
mean_sml_h <- mean(sml_list_h)
mean_sml_h
Now we can get the approximate solution, r mean_sml_h
, which is a little different from r p_home
.
Now, let’s simulate the situation without home-field advantage influence. It’s easy because we only need to make p_win as a constant value.
set.seed(314)
sml_list_nh <- rep(NA, 100000)
for (i in seq_along(sml_list_nh)){
round <- rep(NA,7)
for(j in 1:7){
p_win <- 0.55
round[j] <- rbinom(1,1,p_win)
}
sml_list_nh[i] <- ifelse(sum(round)>=4, 1, 0)
}
mean_sml_nh <- mean(sml_list_nh)
mean_sml_nh
3. What is the absolute and relative error for your simulation in the previous question?
Absolute error =
Relative error = .
abs_error_h <- abs(mean(sml_list_h) - p_home)
rel_error_h <- abs(mean(sml_list_h) - p_home)/mean(sml_list_h)
abs_error_h
rel_error_h
Therefore, given home-field advantage the absolute error is r abs_error_h
. The relative error is r rel_error_h
.
abs_error_nh <- abs(mean(sml_list_nh) - p_nohome)
rel_error_nh <- abs(mean(sml_list_nh) - p_nohome)/mean(sml_list_nh)
abs_error_nh
rel_error_nh
Therefore, given no home-field advantage the absolute error is r abs_error_nh
. The relative error is r rel_error_nh
.
Bonus 1. Does the difference in probabilites (with vs without home field advantage) depend on PB?
The process is similar to the answer of question 1.
We can create some lists to save the different PBs, the probabilities of win the World Series with or without home-field advantage, and the difference between these two situations given different PB.
Then given every PB, calculate these values every time.
pb_list <- seq(0,1,0.01)
ph_win_list <- seq_along(pb_list)
pnh_win_list <- ph_win_list
diff_list <- ph_win_list
for (p in seq_along(pb_list)) {
pb <- pb_list[p]
advantage_multiplier <- 1.1
pbh <- pb * advantage_multiplier
pba <- 1 - (1 - pb) * advantage_multiplier
pnh_win_list[p] <- 1 - pbinom(3, 7, pb_list[p])
# Calculate the probability of each possible outcome
apo[, p := NA_real_] # Initialize new column in apo to store prob
for(i in 1:nrow(apo)){
prob_game <- rep(1, 7)
for(j in 1:7){
p_win <- ifelse(hfi[j], pbh, pba)
prob_game[j] <- case_when(
apo[i,j,with=FALSE] == "W" ~ p_win
, apo[i,j,with=FALSE] == "L" ~ 1 - p_win
, TRUE ~ 1
)
}
apo[i, p := prod(prob_game)] # Data.table syntax
}
ph_win_list[p] <- purrr::flatten_dbl(apo[, sum(p), overall_outcome][1][,2])
diff_list[p] <- pnh_win_list[p] - ph_win_list[p]
}
Then, plot a graph to show the relationship between PB and differences.
plot(x= pb_list, y=diff_list)
Obviously, the relationship between PB and differences is a compound function containing trigonometric functions.
And the format might be a trigonometric function times a function, that when going to the start and the end of one period approximate 0, otherwise approximate 1. By the way, the period should be 1.
There are some examples. Unfortunately, after these functions I listed cannot regress to the graph we got.
Bonus 2. Does the difference in probabilites (with vs without home field advantage) depend on the advantage factor? (The advantage factor in PBH and PBA is the 1.1 multiplier that results in a 10% increase for the home team.)
In this question, the process is similar to Bonus1. We only need to change the sequence content from PB to the home-field advantage factor and make PB be a constant(0.55). Therefore, we will use ha_list to save the sequence.
ha_list <- seq(1,2,0.01)
ph_win_list <- seq_along(ha_list)
pnh_win_list <- ph_win_list
diff_list2 <- ph_win_list
for (p in seq_along(ha_list)) {
pb <- 0.55
advantage_multiplier <- ha_list[p]
pbh <- pb * advantage_multiplier
pba <- 1 - (1 - pb) * advantage_multiplier
pnh_win_list[p] <- 1 - pbinom(3, 7, 0.55)
# Calculate the probability of each possible outcome
apo[, p := NA_real_] # Initialize new column in apo to store prob
for(i in 1:nrow(apo)){
prob_game <- rep(1, 7)
for(j in 1:7){
p_win <- ifelse(hfi[j], pbh, pba)
prob_game[j] <- case_when(
apo[i,j,with=FALSE] == "W" ~ p_win
, apo[i,j,with=FALSE] == "L" ~ 1 - p_win
, TRUE ~ 1
)
}
apo[i, p := prod(prob_game)] # Data.table syntax
}
ph_win_list[p] <- purrr::flatten_dbl(apo[, sum(p), overall_outcome][1][,2])
diff_list2[p] <- pnh_win_list[p] - ph_win_list[p]
}
Let’s look at the graph. Obviously, when the home-field advantage factor is increasing, the difference in probabilities between with and without home filed advantage will increase too.
plot(x= ha_list, y=diff_list2)


This benchmark compares performance of using 'new' keyword and memory-pool for allocating instances of the objects. Test is initialising 3,000,000 instances of same type objects in a rendering loop. Any effects on garbage collector will have massive impact on the FPS.
| Test name | Time | Status |
|---|---|---|
| 'new' keyword | n/a | n/a |
| Memory pool | n/a | n/a |


Chances are, you're going to want to execute some code based on media queries in your snazzy responsive layout. At Springload we've been doing this with the window.matchMedia()
function with great results, but this has meant maintaining breakpoints in two places — once in our stylesheet and once in our JS.
Clearly this isn't very DRY. Right now, that's not too much of a problem, but the bigger a project grows, the more chance there is for this duplicate information to get out of sync. Fortunately, there's a better way.
Jeremy Keith recently posted a great article about using conditional CSS to add properties to the page that are enumerable in Javascript. Jeremy uses the :after
psuedo property on the <body>
tag to add information about the current viewport. The markup is really simple:
/* ----------------------------------------------------------- This is a hack. It works in: FF 3.6+, Anroid 2.2+, Safari, Chrome, IE7, IE8, IE9+ ----------------------------------------------------------- */ html { font-family: 'mobile'; } * html { /* IE6 */ font-family: 'desktop' } *+html { /* IE7 */ font-family: 'desktop' } @media \0screen { html { /* IE8 */ font-family: 'desktop' } } /* Reset your font families here. ----------------------------------- */ body { font-family: Arial, Helvetica, sans-serif; } /* Queries for supported browsers. ----------------------------------- */ @media screen and (min-width: 35em) { html { font-family: "skinny"; } } @media screen and (min-width: 56em) { html { font-family: "desktop"; } }
This gives us a hidden string containing the currently active query, which we can fish out using a couple of lines of Javascript. All we need to do is evaluate the window when it resizes, check if the body:after property has changed, and fire a callback.
We've wrapped up Jeremy's great solution in a little Javascript module that can be inserted into your page. It's super lean and engineered with mobile loading times in mind.
<script type="text/javascript" src="js/onmediaquery.min.js"></script> <script> // Define the queries you want to test for.. and what to do if they're TRUE var queries = [ { context: 'mobile', match: function() { console.log('Mobile callback. Maybe hook up some tel: numbers?'); // Your mobile specific logic can go here. }, unmatch: function() { // We're leaving mobile. } }, { context: 'skinny', match: function() { console.log('skinny callback! Swap the class on the body element.'); // Your tablet specific logic can go here. }, unmatch: function() { console.log('leaving skinny context!'); } }, { context: ['mobile', 'skinny'], call_for_each_context: false, match: function() { console.log('a callback which spans multiple breakpoints, skinny and mobile!'); // setting 'call_for_each_context' to false means this callback will only fire once across this range of breakpoints }, unmatch: function() { console.log('leaving small context!'); } }, { context: 'desktop', match: function() { console.log('desktop callback woohoo! Load some heavy desktop JS badddness.'); // your desktop specific logic can go here. } } ]; // Go! MQ.init(queries); </script>
Make sure that the strings you define in the context:
property match the :after
content in your css!
As well as passing an array of objects when you initialise the plugin, you can add extra callbacks at any time. This is especially handy if you've got multiple JS files across the site that need to test whether a query is true.
//Add a media query test var my_query = MQ.addQuery({ context: 'skinny', match: function() { console.log( 'second skinny callback!' ) } });
The addQuery function returns a reference to the object you added, so you can remove it later if you need to:
//Remove a media query test by reference MQ.removeQuery( my_query );
This weighs in at a whopping 700 bytes minified and gzipped, well worth including in your next project.


Your browser does not support HTML5 video.
Shutterbug.snapshot({selector: "#src", dstSelector: "#dst"});
Destination container


WHY DO FOOLS FALL IN LOVE (Warner Bros.) Starring: Larenz Tate, Halle Berry, Vivica A. Fox, Lela Rochon, Paul Mazursky. Screenplay: Tina Andrews. Producers: Paul Hall and Stephen Nemeth. Director: Gregory Nava.  Reviewed by Scott Renshaw.
I can understand why screenwriter Tina Andrews latched onto the story behind WHY DO FOOLS FALL IN LOVE for fifteen years. From a commercial standpoint, it has a great hook: the real-life story of three women who all claimed to be the legal widow of Frankie Lymon, lead singer of the 1950s doo-wop group the Teenagers (whose signature hit serves as the film's title). From a writer's standpoint, it offers the intriguing contradiction of its main character, a troubled soul who was a different man for each of his three different brides before dying of a drug overdose in 1968. It's a story with sex, drugs _and_ rock 'n' roll, as well as colorful characters a-plenty. Sure enough, this bio-pic offers loads of curb appeal.
Unfortunately, Andrews and director Gregory Nava (SELENA) make a big mistake in their approach to the material -- they decide to turn it into a rock 'n' roll RASHOMON. The framing story opens in 1986, with three women -- former Platters singer Zola Taylor (Halle Berry), petty thief and single mom Elizabeth Waters (Vivica A. Fox), and schoolteacher Emira Eagle (Lela Rochon) -- all making a legal claim to be Mrs. Frankie Lymon, with rights to his musical royalties. A hearing commences in which each claimant tells the story of Frankie (Larenz Tate) as she knew him, from teen star to has-been, from heroin addict to soldier. The flashbacks cover 13 years of Frankie's life, with widely varying perspectives on the man each of the three women married at some point, but none of them divorced.
Somewhere buried in that narrative is an interesting -- if somewhat trite -- entertainment industry life story, the story of a street kid from an abusive home who becomes dependent on the love he receives from audiences and women. Larenz Tate does a fine job of capturing Frankie's electrifying stage presence, as well as his sheer joy of performing for a crowd. In fact, the high-energy performance scenes are generally the film's best, with Frankie's unbridled on-stage enthusiasm contrasting sharply with the conservative choreography of his artistic contemporaries. Tate also has the thankless job of creating a character out of piecemeal recollections, yet the character still comes together as someone you want to know more about.
If only wanting made it so. Only occasionally does WHY DO FOOLS FALL IN LOVE hone in on the question of who Frankie Lymon really was. Too often Andrews and Nava take off on dead-end tangents -- a vamping, self-indulgent cameo by Little Richard as himself; the hit-and-run accusation that Frankie's manager/producer Morris Levy (Paul Mazursky) cheated him out of millions; broadly comic female bonding sessions which turn Zola, Elizabeth and Emira into the First, Second and Third Wives' Club. When they finally do get around to Frankie himself, they offer psychologically convenient devices like a shattered mirror in which Frankie sees his fragmented visage. The individual snapshots of his life, including such potentially provoactive subjects as his naive disregard for 1950s social conventions, never seem designed to develop into a complete portrait.
Ultimately no one, not even the three women with whom he shared a life, seems interested in understanding Frankie. That's what's most disappointing about WHY DO FOOLS FALL IN LOVE: it's not really a biography of Frankie Lymon. The film-makers are usually more interested in getting inside the the heads of the three women -- providing tart dialogue for the three talented lead actresses while making them sympathetic, mis-used you-go-girls -- than getting inside Frankie's head. Sure, they violate point of view when it serves their purpse to show things none of the narrators could have seen, but mostly they point out how Frankie's enigmatic behavior hurt others, not how he hurt himself. It's a cop-out to start telling a character's story, then shrug your shoulders and claim not to have any idea who that character is. Tina Andrews spent fifteen years waiting to tell the story of a potentially fascinating rock 'n' roll tragedy, but all she could come up with was a great big "I dunno."
On the Renshaw scale of 0 to 10 Frankies, my dear: 5.
Visit Scott Renshaw's MoviePage http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the MoviePage for details, or reply to this message with subject line "Subscribe".
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


After Crossing $20 Billion In FY ’18, Why Did Western Digital’s Revenue Drop 20% In FY ’19?
by Trefis TeamWestern Digital’s (NASDAQ: WDC) total revenue has dropped from $20.65 billion in 2018 to $16.57 billion in 2019, on the back of a supply glut in the memory market. Also, a drop in electronics demand has affected client devices revenue, but we expect electronics demand to get back on track going into 2021. A shift toward streaming services and cloud storage has dragged down external storage demand, and we expect client solutions revenue to remain under pressure due to this. However, a rise in enterprise demand can help support Western Digital’s total revenue, driving it up to $17.66 billion by 2021.
WDC has 3 Operating Segments-
To know more about Western Digital’s operating segments, and what products they offer, you can view our interactive dashboard, Western Digital Revenue: How Does WDC Make Money?
A] Client Devices Revenue to grow by about $220 million by 2021, and make up about 47% of total revenue
- This segment includes revenue from the sale of internal storage units for PCs, laptops, and other entertainment devices.
- A drop in demand for PCs and laptops has led to a YoY drop of almost 20% for this segment, with revenue falling to $8.1 billion in 2019.
- We expect the pressure to continue in 2020, but things should get better by 2021, driving client devices revenue to $8.32 billion.
B] Data Center Solutions Revenue to grow by around $770 million over the next 2 years, with its share of total revenue to be around 33%
- This segment caters to the memory requirements of enterprises, and also cloud storage memory solutions.
- Revenue from this segment has dropped almost 17% YoY in 2019, owing to the ongoing memory supply glut that has affected enterprise HDD demand.
- However, we expect enterprise NAND demand to rise, and since cloud storage services are already in high demand, we expect revenue from this segment to grow to about $5.81 billion by 2021.
C] Client Solutions Revenue to grow by $90 million by 2021, making up the remaining 20% of total revenue
- This segment includes revenue from the sale of external memory devices, sold under the WDC and SanDisk banners.
- Revenue from this segment dropped a whopping 23% YoY, on the back of slowing retail demand.
- Retail demand has been on a steady decline, as more and more people switch to streaming and other cloud storage services.
- We expect this trend to continue, and see no significant growth in revenue from this segment by 2021.
What’s behind Trefis? See How It’s Powering New Collaboration and What-Ifs For CFOs and Finance Teams| Product, R&D, and Marketing Teams More Trefis Data Like our charts? Explore example interactive dashboards and create your own


DOGS CATS BIRDS SMALL PETS AQUARIUMS REPTILES HORSES BEST PET PRODUCTS ABOUT US
Reptiles & Amphibians > Geckos
Leopard Gecko: Species Profile


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Give scallops an Asian twist with this flavourful recipe, the perfect meal to celebrate Chinese New Year.
Place 2 scallops on each scallop shell, sprinkle over the salt, white pepper and rice wine.
In a small bowl, combine all the scallop dressing ingredients.
Place the scallops on a stainless steel steamer rack that fits into a wok (or you can sit a heatproof plate on a bamboo steamer). Half-fill a wok with boiling water and rest the bottom of the steamer in the wok, making sure it doesn't touch the water. Cover with a lid and steam the scallops for 5-6 minutes.
For the noodles, heat a wok and add half the oil. Once hot, add the garlic and chilli and cook for a few seconds. Add the carrot and cabbage and cook for 1 minute, keeping them moving in the pan all the time. Push the carrots to the front edge of the wok and add the remaining oil and the spinach, stir fry for 10 seconds. Add the noodles and spring onions.
Mix all the sauce ingredients together until smooth, then add to the noodles. Toss well, making sure the sauce coats all of the noodles. Add a dash of sesame oil. Check the seasoning and add more soy sauce if needed. Place the noodles in the centre of a large plate.
Spoon the dressing over the scallops and garnish with fresh coriander. Place the scallops around the noodle plate and serve.


Android developer with portfolio of open-source applications published on Google Play Store and interested in the field of Augmented Reality and Machine Learning, who believes in test-driven development and Clean approach to coding. Developed web apps in Django framework and MEAN stack.
Android Developer, Codoc Technologies, Bangalore,
Nov-2016 to May-2017
Android Developer, Lets Service Automotive Technologies Pvt Ltd, Bangalore,
June-2016 to Present


Mark McCall
LMS GURU
My Skills
I enjoy finding solutions for complex learning environments.
HTML
MOODLE
TOTORA
Project Management