Diabetes is a leading cause of disease and death in the United States. More than 29 million Americans are living with diabetes, and 86 million are living with prediabetes, a serious health condition that increases a person’s risk of type 2 diabetes and other chronic diseases. In 2014, nearly 9.3 percent of all deaths for persons over the age of 25 were among people with diabetes. The prevalence of diabetes and overweight (one of the major risk factors for diabetes) continue to increase. Substantial new efforts to prevent or control diabetes have begun, including the Diabetes Prevention Trial and the National Diabetes Education Program.
Participants aged 12 years and older, who were examined in the morning session, were eligible.
Insulin is the primary hormone responsible for controlling glucose metabolism, and its secretion is determined by plasma glucose concentration. The insulin molecule is synthesized in the pancreas as pro-insulin and is later cleaved to form C-peptide and insulin. The principal function of insulin is to control the uptake and utilization of glucose in the peripheral tissues. Insulin concentrations are severely reduced in insulin-dependent diabetes mellitus (IDDM) and some other conditions, while insulin concentrations are raised in non-insulin-dependent diabetes mellitus (NIDDM), obesity, and some endocrine disorders.
The Elecsys 2010 Insulin chemiluminescent “sandwich” immunoassay employs two monoclonal antibodies; which together are specific for human insulin. During the first incubation, a 20 μL serum sample, a biotinylated monoclonal insulin-specific antibody, and a monoclonal insulin-specific antibody labeled with a ruthenium complex (Tris [2, 2’-bipyridyl]ruthenium(II)-complex (Ru(bpy)) form a sandwich complex. During the second incubation, after the addition of streptavidin-coated microparticles, the complex becomes bound to the solid phase via interaction of biotin and streptavidin.
The reaction mixture is aspirated into the measuring cell where the microparticles are magnetically captured onto the surface of the electrode. Unbound substances are then removed with ProCell. Application of a voltage to the electrode then induces chemiluminescent emission, which is measured by a photomultiplier. The amount of light produced is directly proportional to the amount of insulin in the sample.
Refer to the Laboratory Method Files section for a detailed description of the laboratory methods used.
There were no changes to the lab method, lab equipment, or lab site for this component in the NHANES 2015-2016 cycle.
Insulin (June 2018)
Serum samples are processed, stored, and shipped to the University of Missouri-Columbia, Columbia, MO for analysis.
Detailed instructions on specimen collection and processing are discussed in the NHANES Laboratory Procedures Manual (LPM). Vials are stored under appropriate frozen (-30oC) conditions until they are shipped to the University of Missouri – Columbia for testing.
The NHANES quality assurance and quality control (QA/QC) protocols meet the 1988 Clinical Laboratory Improvement Act mandates. Detailed QA/QC instructions are discussed in the NHANES LPM.
Mobile Examination
Centers (MECs)
Laboratory team performance is monitored using several techniques. NCHS and
contract consultants use a structured competency assessment evaluation during
visits to evaluate both the quality of the laboratory work and the quality control
procedures. Each laboratory staff member is observed for equipment operation,
specimen collection and preparation; testing procedures and constructive
feedback are given to each staff member. Formal retraining sessions are
conducted annually to ensure that required skill levels were maintained.
Analytical
Laboratories
NHANES uses several methods to monitor the quality of the analyses performed by
the contract laboratories. In the MEC, these methods include performing blind
split samples collected on “dry run” sessions. In addition, contract
laboratories randomly perform repeat testing on 2% of all specimens.
NCHS developed and distributed a quality control protocol for all CDC and contract laboratories, which outlined the use of Westgard rules (Westgard et al, 1981) when running NHANES specimens. Progress reports containing any problems encountered during shipping or receipt of specimens, summary statistics for each control pool, QC graphs, instrument calibration, reagents, and any special considerations are submitted to NCHS quarterly. The reports are reviewed for trends or shifts in the data. The laboratories are required to explain any identified areas of concern.
The data were reviewed. Incomplete data or improbable values were sent to the performing laboratory for confirmation.
One variable was created in this data file using the following formula:
LBXIN and LBDINSI:
The insulin value in µU/mL (LBXIN) was converted to pmol/L (LBDINSI) by
multiplying by 6.0 (rounded to 2 decimals).
Refer to the 2015-2016 Laboratory Data Overview for general information on NHANES laboratory data.
Subsample Weights
Insulin were measured in a fasting subsample of persons 12 years and older. Special sample weights are required to analyze these data properly. Specific sample weights for this subsample are included in this data file and should be used when analyzing these data.
Demographic and Other Related Variables
The analysis of NHANES laboratory data must be conducted using the appropriate survey design and demographic variables. The NHANES 2015-2016 Demographics File contains demographic data, health indicators, and other related information collected during household interviews as well as the sample design variables. The recommended procedure for variance estimation requires use of stratum and PSU variables (SDMVSTRA and SDMVPSU, respectively) in the demographic data file.
The Fasting Questionnaire File includes auxiliary information such as fasting status, the length of fast, and the time of venipuncture
This laboratory data file can be linked to the other NHANES data files using the unique survey participant identifier SEQN.
Detection Limits
The detection limits were constant for all of the analytes in the data set. Two variables are provided for each of these analytes. The variable name ending “LC” (ex., LBDINLC) indicates whether the result was below the limit of detection: the value “0” means that the result was at or above the limit of detection, “1” indicates that the result was below the limit of detection. For analytes with analytic results below the lower limit of detection (ex., LBDINLC=1), an imputed fill value was placed in the analyte results field. This value is the lower limit of detection divided by the square root of 2 (LLOD/sqrt[2]). The other variable prefixed LBX (ex., LBXIN) provides the analytic result for that analyte.
The lower limit of detection (LLOD, in uU/mL) for insulin is:
|
Variable Name |
SAS Label |
LLOD |
|
LBXIN |
Insulin |
1.0 |
Please refer to the NHANES Analytic Guidelines and the on-line NHANES Tutorial for further details on the use of sample weights and other analytic issues.
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 13612.331812 to<PHONE_NUMBER>3 | Range of Values | 2743 | 2743 | |
| 0 | No Lab Result | 448 | 3191 | |
| . | Missing | 0 | 3191 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0.71 to 324.06 | Range of Values | 2921 | 2921 | |
| . | Missing | 270 | 3191 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 4.26 to 1944.36 | Range of Values | 2921 | 2921 | |
| . | Missing | 270 | 3191 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 | 0 | 2920 | 2920 | |
| 1 | 1 | 1 | 2921 | |
| . | Missing | 270 | 3191 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 37 | Range of Values | 3135 | 3135 | |
| . | Missing | 56 | 3191 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 59 | Range of Values | 3135 | 3135 | |
| . | Missing | 56 | 3191 |


MdRadioModule
Official Documentation
<md-radio>
provides the same functionality as a native
<input type="radio">
enhanced with Material Design styling and animations.
All radio buttons with the same name comprise a set from which only one may be selected at a time.
The radio-button label is provided as the content to the <md-checkbox>
element.
The label can be positioned before or after the radio-button by setting
the labelPosition property to before
or after
.
If you don't want the label to appear next to the radio-button,
you can use aria-label
or aria-labelledby
to specify an appropriate label.
Radio-buttons should typically be placed inside of an <md-radio-group>
unless
the DOM structure would make that impossible (e.g., radio buttons inside of table cells).
The radio-group has a value property
that reflects the currently selected radio-button inside of the group.
Individual radio-buttons inside of a radio-group will inherit the name of the group.
<md-radio-group>
is compatible with @angular/forms and
supports both FormsModule and ReactiveFormsModule.
MdRadioModule
A group of radio buttons. May contain one or more `<md-radio-button>` elements.
| Name | Description |
|---|---|
@Output() change |
Event emitted when the group value changes. Change events are only emitted when the value changes due to user interaction with a radio button (the same behavior as `<input type-"radio">`). |
@Input() name |
Name of the radio button group. All radio buttons inside this group will use this name. |
@Input() align |
Alignment of the radio-buttons relative to their labels. Can be 'before' or 'after'. |
@Input() labelPosition |
Whether the labels should appear after or before the radio-buttons. Defaults to 'after' |
@Input() disabled |
Whether the radio button is disabled. |
@Input() value |
Value of the radio button. |
@Input() selected |
Whether the radio button is selected. |
A radio-button. May be inside of
| Name | Description |
|---|---|
@Input() id |
The unique ID for the radio button. |
@Input() name |
Analog to HTML 'name' attribute used to group radios for unique selection. |
|
@Input('aria-label')
ariaLabel |
Used to set the 'aria-label' attribute on the underlying input element. |
|
@Input('aria-labelledby')
ariaLabelledby |
The 'aria-labelledby' attribute takes precedence as the element's text alternative. |
radioGroup |
The parent radio group. May or may not be present. |
@Input() disableRipple |
Whether the ripple effect for this radio button is disabled. |
@Output() change |
Event emitted when the checked state of this radio button changes. Change events are only emitted when the value changes due to user interaction with the radio button (the same behavior as `<input type-"radio">`). |
radioDispatcher |
|
inputId |
ID of the native input element inside `<md-radio-button>` |
@Input() checked |
Whether this radio button is checked. |
@Input() value |
The value of this radio button. |
@Input() align |
Whether or not the radio-button should appear before or after the label. |
@Input() labelPosition |
Whether the label should appear after or before the radio button. Defaults to 'after' |
@Input() disabled |
Whether the radio button is disabled. |
| focus | |
|---|---|
| Focuses the radio button. |
Change event object emitted by MdRadio and MdRadioGroup.
| Name | Description |
|---|---|
source |
|
value |


Live Vacuum Gauge Pressure Readings Shown in the Form of a Digital Display
The boxes below display the pressure measured by the gauges attached to the HHG setup in the COLTRIMS laboratory:
Gauge 1
n/a
Gauge 2
n/a
Gauge 3
n/a
Gauge 4
n/a
Gauge 5
n/a
Gauge 6
n/a
All values are given in mbar.


The event will take place in DCU on Thursday the 10th of March, 2016.If you are interested in taking part, grab a partner, and fill in your details in this Google form.If you have any queries, feel free to fire me an email.See you on the day!


A Lets Encrypt SSL context environment.
Derived from .tls
.
Definitions
ssl_certificate_path { ... }
The public certificate path.
Signature
-
attribute
String
Implementation
ssl_certificate_path do
File.join(lets_encrypt_root, authority, "fullchain.pem")
end
ssl_private_key_path { ... }
The private key path.
Signature
-
attribute
String
Implementation
ssl_private_key_path do
File.join(lets_encrypt_root, authority, "privkey.pem")
end


Extract the implied risk neutral density from options using various methods.
| Version: | 1.2 |
| Depends: | R (≥ 3.0.1) |
| Published: | 2017-01-11 |
| Author: | Kam Hamidieh |
| Maintainer: | Kam Hamidieh <khamidieh at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | Finance |
| CRAN checks: | RND results |
| Reference manual: | RND.pdf |
| Package source: | RND_1.2.tar.gz |
| Windows binaries: | r-devel: RND_1.2.zip, r-release: RND_1.2.zip, r-oldrel: RND_1.2.zip |
| OS X binaries: | r-release: RND_1.2.tgz, r-oldrel: RND_1.2.tgz |
| Old sources: | RND archive |
Please use the canonical form https://CRAN.R-project.org/package=RND to link to this page.


Reporting an issue?
Let us know what went wrong?
My pizza was not delivered."
I was not given the discount.
I was charged incorrectly.
I did not enjoy my pizza today.


experiment: change the paper div size destroy slider add a new slider
a "paper effect" slider jQuery plugin .
back to page 1 back to page 2


Tracker Concept
Source: Cannonman, Th3Pandatank
1. Basic Information
Bullets Per Cycle: 2
Bullet Sizes: Normal, Small
Bullet Strength (Small): 75% BTE
Bullet Strength (Normal): 75% BTE
Bullet Speed: 200% BTE
Recoil Per Cycle: 35% BTE
Reload Per Cycle: 50% BTE
Upgrade Path
Basic → Sniper → Hunter → Tracker
2. Tank Details
The Tracker has the same power as Hunter, but unlike the Hunter, it is able to see boss arrows, and with a click of a player on the leaderboard, it can get the leader arrow to switch to that player, with the arrow's name as the player's place on the leaderboard. By using this ability, it can easily hunt bosses, seek players, and eliminate them. However, unlike Predator, it cannot scope, making it more difficult to fight bosses. Stacking bullets is the most viable option, as it is much quicker with two bullets, and allows for high damage concentration.
3. Builds
0/0/0/6/7/6/7/7
0/0/0/6/7/7/7/6
Both glass builds with maximum power output, and as Tracker is similar to Predator and Hunter, the same builds apply to it.


Medicare Eligible Retiree Benefits Plan #1
For organizations offering multiple medical plans: Please provide information on each medical plan offered (maximum of 2 plans) which have the largest enrollments.
(For Self-Funded Plans, use COBRA Premium Equivalent Rate minus the 2%, if otherwise included)


---
layout: homeSub
---
Hello and welcome to the site. I pray you've been able to successfully navigate it with ease and that it has helped you find the look you have been seking. This is a fairly new service, so we are always for ways to imporve our service to you. If you should have any questions, concerns, or ideas you'd like to see implemented, please share them with us by clicking here. Good Looking Out is a child of Truly Transparent LLC., which means you can not only rest assured that you are doing business with a brand that has your best interests, but also that you have access to the whereabouts of any investments that you make with us. We have nothing to hide, and we know you won't be disappointed. Find out more here.


John Donga
senior content writer
32-black street, winter hour.United Kingdom 08808
dubbizal.wordpress.comJohn Donga
senior content writer
32-black street, winter hour.United Kingdom 08808
dubbizal.wordpress.comJohn Donga
Senior Content Writer at
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http://www.dubbizal.wordpress.com- off:<PHONE_NUMBER>
- mob:<PHONE_NUMBER>
- UAN: 111-FRT-FRT
32-black street, winter hour.United Kingdom 08808


LA-01 LA-02 LA-03 LA-04 LA-05 LA-06
LA – Sen. Bill Cassidy (R) and Sen. John Kennedy (R)
Committees
Bill Cassidy is the #1 Republican on the Senate Energy Subcommittee on Energy
Bill Cassidy is the #6 Republican on the Senate Committee on Energy and Natural Resources
John Kennedy is the #8 Republican on the Senate Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies
John Kennedy is the #12 Republican on the Senate Committee on Appropriations
John Kennedy is the #8 Republican on the Senate Appropriations Subcommittee on Energy and Water Development
HEP Grants
In the past 8 years, this state has received: 16 HEP grants, totalling $3,748,000
Institution Amount ($)
------------------------------------------ ------------
Louisiana State University and A&M College 1,942,000
LOUISIANA STATE UNIVERSITY 837,000
Louisiana Tech University 546,000
LOUISIANA TECH UNIVERSITY 423,000
SC Contracts
This state received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this state has received: 298 NSF MPS grants, totalling $52,649,784
Institution Amount ($)
-------------------------------------------------- ------------
LOUISIANA STATE UNIVERSITY SYSTEM 14,787,055
LOUISIANA STATE UNIVERSITY 9,852,508
ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 7,918,809
ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE 6,621,011
UNIVERSITY OF NEW ORLEANS 2,703,031
SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 2,405,000
LOUISIANA STATE UNIVERSITY SYSTEM075050765 1,957,088
XAVIER UNIVERSITY OF LOUISIANA 1,413,138
UNIVERSITY OF LOUISIANA AT LAFAYETTE 1,232,681
LOUISIANA TECH UNIVERSITY 969,620
BATON ROUGE AREA FOUNDATION INC 766,496
LA ST U & A&M COLL 751,200
BATON ROUGE AREA FOUNDATION, THE 696,967
SOUTHEASTERN LOUISIANA UNIVERSITY 375,786
TULANE UNIVERSITY 158,784
UNIV OF LOUISIANA AT LAFAY 40,610
SULI/CCI Interns
From 2014-2016 (only years available), this state had 6 SULI/CCI interns
# Interns Program College
----------- --------- ------------------------------------------------------------------
4 SULI Louisiana State University and Agricultural and Mechanical College
2 SULI Tulane University
LA-01 – Rep. Steve Scalise (R) – Wikipedia
Committees
Steve Scalise is the #5 Republican on the House Committee on Energy and Commerce
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $13,101,616 in NSF MPS grants.
Year Institution Amount ($)
------ -------------------------------------------------- ------------
2019 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE 558,332
2018 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE 3,813,428
2017 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE 2,249,251
2016 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 2,267,863
2016 SOUTHEASTERN LOUISIANA UNIVERSITY 101,786
2015 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 1,227,497
2015 TULANE UNIVERSITY 158,784
2014 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 617,020
2013 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 1,833,655
2013 SOUTHEASTERN LOUISIANA UNIVERSITY 274,000
SULI/CCI Interns
From 2014-2016 (only years available), this district had 2 SULI/CCI interns
Term Name College Host Lab Program
----------- -------------------------- ----------------- ------------------------------ ---------
Summer 2016 Daniel Edward Christiansen Tulane University Brookhaven National Laboratory SULI
Summer 2016 Wilson Jeter Tulane University Oak Ridge National Laboratory SULI
LA-02 – Rep. Cedric L. Richmond (D) – Wikipedia
Committees
Cedric L. Richmond is not on any of our key committees.
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $7,568,943 in NSF MPS grants.
Year Institution Amount ($)
------ --------------------------------------------- ------------
2018 SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 500,000
2018 UNIVERSITY OF NEW ORLEANS 134,962
2018 XAVIER UNIVERSITY OF LOUISIANA 699,849
2017 SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 500,000
2016 UNIVERSITY OF NEW ORLEANS 9,465
2016 XAVIER UNIVERSITY OF LOUISIANA 498,951
2015 UNIVERSITY OF NEW ORLEANS 170,440
2014 UNIVERSITY OF NEW ORLEANS 658,050
2014 XAVIER UNIVERSITY OF LOUISIANA 200,000
2013 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 15,750
2013 SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 480,000
2013 UNIVERSITY OF NEW ORLEANS 902,114
2012 ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND 1,957,024
2012 UNIVERSITY OF NEW ORLEANS 828,000
2012 XAVIER UNIVERSITY OF LOUISIANA 14,338
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
LA-03 – Rep. Clay Higgins (R) – Wikipedia
Committees
Clay Higgins is not on any of our key committees.
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $1,273,291 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------ ------------
2018 UNIVERSITY OF LOUISIANA AT LAFAYETTE 97,681
2017 UNIVERSITY OF LOUISIANA AT LAFAYETTE 175,000
2016 UNIVERSITY OF LOUISIANA AT LAFAYETTE 200,000
2015 UNIV OF LOUISIANA AT LAFAY 40,610
2014 UNIVERSITY OF LOUISIANA AT LAFAYETTE 180,000
2013 UNIVERSITY OF LOUISIANA AT LAFAYETTE 580,000
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
LA-04 – Rep. Mike Johnson (R) – Wikipedia
Committees
Mike Johnson is not on any of our key committees.
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $197,800 in NSF MPS grants.
Year Institution Amount ($)
------ --------------------------------- ------------
2013 LOUISIANA STATE UNIVERSITY SYSTEM 197,800
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
LA-05 – Rep. Ralph Lee Abraham (R) – Wikipedia
Committees
Ralph Lee Abraham is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $969,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
------------------------- ------------ ------- ----- ------------------------ ---------------------------------------------------------------------
Louisiana Tech University 130,000 2016 2017 Sawyer, H. Testing the Standard Model at the Large Hadron Collider
Louisiana Tech University 416,000 2014 2018 Sawyer, Lee TESTING THE STANDARD MODEL AT THE LARGE HADRON COLLIDER
LOUISIANA TECH UNIVERSITY 185,000 2013 2014 Sawyer High Energy Physics Research at the Energy Frontier at Louisiana Tech
LOUISIANA TECH UNIVERSITY 238,000 2012 2014 Sawyer Research in High Energy Physics
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $969,620 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------- ------------
2018 LOUISIANA TECH UNIVERSITY 38,915
2017 LOUISIANA TECH UNIVERSITY 109,999
2015 LOUISIANA TECH UNIVERSITY 209,604
2014 LOUISIANA TECH UNIVERSITY 200,000
2013 LOUISIANA TECH UNIVERSITY 286,281
2012 LOUISIANA TECH UNIVERSITY 124,821
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
LA-06 – Rep. Garret Graves (R) – Wikipedia
Committees
Garret Graves is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $2,779,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
------------------------------------------ ------------ ------- ------- ------------------------ -------------------------------------------------------------------
Louisiana State University and A&M College 1,000,000 2016 Ongoing Kutter, Thomas Research in Elementary Particle Physics and Cosmic Ray Physics
Louisiana State University and A&M College 942,000 2014 2016 Matthews, James Research in Elementary Particle Physics and Cosmic Ray Physics
LOUISIANA STATE UNIVERSITY 417,000 2013 2014 Matthews Research in Elementary Particle Physics and Cosmic Ray Physics
LOUISIANA STATE UNIVERSITY 410,000 2012 2013 Matthews, Metcalf Research in Elementary Particle Physics and Cosmic Ray Physics
LOUISIANA STATE UNIVERSITY 10,000 2012 2013 Suller 2012 International Particle Accelerator Conference, May 20-25, 2012
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $29,538,514 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------------ ------------
2018 LOUISIANA STATE UNIVERSITY 4,763,868
2018 BATON ROUGE AREA FOUNDATION, THE 445,986
2017 LOUISIANA STATE UNIVERSITY 4,476,807
2017 BATON ROUGE AREA FOUNDATION, THE 100,763
2016 BATON ROUGE AREA FOUNDATION, THE 150,218
2016 LOUISIANA STATE UNIVERSITY SYSTEM075050765 1,957,088
2016 LOUISIANA STATE UNIVERSITY SYSTEM 400,200
2016 LOUISIANA STATE UNIVERSITY 611,833
2015 SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 500,000
2015 LOUISIANA STATE UNIVERSITY SYSTEM 2,592,497
2015 LA ST U & A&M COLL 751,200
2015 BATON ROUGE AREA FOUNDATION INC 224,076
2014 LOUISIANA STATE UNIVERSITY SYSTEM 3,045,395
2013 LOUISIANA STATE UNIVERSITY SYSTEM 3,787,961
2013 BATON ROUGE AREA FOUNDATION INC 266,070
2012 LOUISIANA STATE UNIVERSITY SYSTEM 4,763,202
2012 SOUTHERN UNIVERSITY AND ANM COLLEGE SYSTEM 425,000
2012 BATON ROUGE AREA FOUNDATION INC 276,350
SULI/CCI Interns
From 2014-2016 (only years available), this district had 4 SULI/CCI interns
Term Name College Host Lab Program
----------- --------------------- ------------------------------------------------------------------ ------------------------------------- ---------
Summer 2016 Derek Walker Louisiana State University and Agricultural and Mechanical College Fermi National Accelerator Laboratory SULI
Summer 2015 Daniel Joseph DiMarco Louisiana State University and Agricultural and Mechanical College Savannah River National Laboratory SULI
Summer 2014 Andrew Paul Olivier Louisiana State University and Agricultural and Mechanical College Fermi National Accelerator Laboratory SULI
Spring 2014 Edward Limin Lo Louisiana State University and Agricultural and Mechanical College Lawrence Berkeley National Laboratory SULI


Chat with Gimmy:
{% if message %}
{{ message | safe }}
{% endif %}
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- Turning any CNN image classifier into an object detector with Keras, TensorFlow, and OpenCV - PyImageSearch
- Détection d'objet: utilisation des cascades de Haar | Pymotion


--- layout: post status: publish published: true title: BTSReset with PowerShell author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 177 wordpress_url: http://winterdom.com/2006/09/btsresetwithpowershell date: '2006-09-01 22:10:34 +0000' date_gmt: '2006-09-01 22:10:34 +0000' categories: - BizTalk - PowerShell tags: [] comments: - id: 123 author: Lee author_email<EMAIL_ADDRESS>author_url: http://www.leeholmes.com/blog date: '2006-09-02 00:34:54 +0000' date_gmt: '2006-09-02 00:34:54 +0000' content: | Nice job -- looks like you managed to squeeze out quite a few lines of code while you were at it :) - id: 124 author: Jeffrey Snover author_email<EMAIL_ADDRESS>author_url: '' date: '2006-09-02 11:47:27 +0000' date_gmt: '2006-09-02 11:47:27 +0000' content: | Very nice. PSMDTAG:FAQ: How do I start/stop BizTalk Server Applications? PSMDTAG:TYPE:WMI: MSBTS_HostInstance Jeffrey Snover [MSFT] Windows PowerShell/Aspen Architect Visit the Windows PowerShell Team blog at: http://blogs.msdn.com/PowerShell Visit the Windows PowerShell ScriptCenter at: http://www.microsoft.com/technet/scriptcenter/hubs/msh.mspx ---
In a previous post I mentioned that you could work with the WMI interfaces in BizTalk Server easier in PowerShell than you could with C#, and in a more interactive fashion. Here's something else I cooked while playing with the PowerShell RC1: A PowerShell version of my BTSReset tool!
Update: Fixed code so that it works with PowerShell V1 RTM.
#
# declare two switch parameters: -start and -stop
#
param([switch] $start, [switch] $stop)
#
# get list of application hosts
#
function get-apphosts
{
get-wmiobject MSBTS_HostInstance `
-namespace 'root\MicrosoftBizTalkServer' `
-filter HostType=1
}
#
# stop the given host
#
function stop-host($apphost)
{
$hostname = $apphost.HostName
if ( $apphost.ServiceState -ne 1 )
{
"Stopping Host $hostname ..."
[void]$apphost.Stop()
}
}
#
# start the given host
#
function start-host($apphost)
{
$hostname = $apphost.HostName
if ( $apphost.ServiceState -eq 1 )
{
"Starting Host $hostname ..."
[void]$apphost.Start()
}
}
#
# main script
#
if ( !($stop) -and !($start) )
{
$stop = $true
$start = $true
}
if ( $stop )
{
get-apphosts | %{ stop-host($_) }
}
if ( $start )
{
get-apphosts | %{ start-host($_) }
}
Here's a few examples of running the tool from the PowerShell prompt:
PS E:\temp> .\bts-reset.ps1
Stopping Host BizTalkServerApplication ...
Starting Host BizTalkServerApplication ...
PS E:\temp> .\bts-reset.ps1 -stop
Stopping Host BizTalkServerApplication ...
PS E:\temp> .\bts-reset.ps1 -stop
PS E:\temp> .\bts-reset.ps1 -start
Starting Host BizTalkServerApplication ...


Welcome to my website!
My name is Danajae Ballard, 16 years old and i was born in Chicago IL. I attend Chicago High School for Agricultural Sciences. I enjoy hanging out with my friends, going to concerts and shopping.I am a very friendly person and get along with people very well. My goal in life is to be Successful and never give up.


2018 has by design had fewer releases in the high activity years of 2015 and 2016. However, all other activity indicators are higher than any previous year. Releases, Pull Requests, Commits and contributions from external sources have all increased compared to 2017.


HHWValues is a political compass test that is based on the Hypothetical Hurricanes Wiki community. It is a fork of the SapplyValues GitHub repository. You will be presented by
a statement, and then you will answer with your opinion on the statement, from Strongly Agree to Strongly Disagree, with each answer slightly affecting your scores. At the end of the quiz, your answers will be displayed on a
political compass.
There are questions in the test.
Copyright (C) 2017-2019 8values
Copyright (C) 2020-2021 SapplyValues
8values, 9axes, SapplyValues and HHWValues are licensed under the Expat/MIT license. You can find a copy of the license here or on the GitHub repo.


OBErrorResponse1
- Code : String
High level textual error code, to help categorize the errors.
- Id : String
A unique reference for the error instance, for audit purposes, in case of unknown/unclassified errors.
- Message : String
Brief Error message, e.g., 'There is something wrong with the request parameters provided'


Sun Web Application Guidelines - Version 4.1
|
| Search Guidelines | Send Feedback | Developers.sun.com |
How To Use These Guidelines - An Introduction
18.1.1 Branding Image with Sun Logo
18.1.4 Application Version Number
The Version Page is provided for each application using the Sun Common UI Component Library (in open source, the Project Woodstock components). The basic Version Page design can be customized for an individual application by using application-specific data (product name, version number, and a legal notice) which is provided by an application development team.
The Version Page may be accessed by using the Version button, located in the following two places:
The Version Page is comprised of the following elements:
The branding image is an element within an overall design system which delivers a consistent brand presentation. The branding image includes the Sun logo, which functions as an endorsement of the Java brand. This brand element is reserved for use in web applications developed by Sun Microsystems. Otherwise, this element should be replaced with a brand element appropriate to the company or product that they represent.
To ensure a consistent brand presentation, use the Version Page design provided through the Sun Common UI Component Library (in open source, the Project Woodstock components).
The Version Page is always titled with the name of the product. The product name is embedded in a .png image, and is presented to the right of the branding image at the top of the screen. An application development team will need to provision the product name image for their application. For more information on creating product name images, see Appendix C, Product Name Images.
The presence of the Java logo reinforces the role of Java as the lead brand. Application teams should contact their brand representative if they are uncertain about which brand marks are appropriate for their application. This brand element is reserved for use in web applications developed by Sun Microsystems. Otherwise, this element should be replaced with a brand element appropriate to the company or product that they represent.
For additional information on branding guidelines, see 1.4 Resources for Application Designers.
Each revision of an application has a different version number. This location on the Version Page might be the only place that the application version number appears, other than on actual product packaging. This information is important when technical support personnel are troubleshooting application problems.
The legal notice or proprietary rights notice (PRN) is a block of text that appears on the Version Page and is specific to the application associated with it. It appears on a gray background.
To protect Sun's intellectual property rights (for example, copyrights and trademarks), Sun must give adequate notice of those proprietary rights on all its products. Additionally, Sun is sometimes required by contract to attribute the intellectual property rights of third parties. The same will be true for other companies.
For additional information on developing a custom legal notice, see 1.4 Resources for Application Designers.
A custom legal notice must be composed and approved by a representative from the application development team's legal division. Every application requires this legal notice to protect Sun and its partners' intellectual property.
For products releasing worldwide that will not be localized, include both the English and the French versions of the legal notice. If a French version of the product is available, do not include a French legal notice in the English version of the product.
| Privacy Policy | Terms of Use | Trademarks | Copyright 2007 Sun Microsystems, Inc. |


-
EASY
Easy and fast process to get money 1-click and your "HERO" brings you the local currency you need. No lines; no paper forms to fill out.
-
AFFORDABLE
Save with best currency exchange rates. Exchange directly with fellow travelers. Cut out big banks and mediators to get the best rates!
-
SAFE
Safe service with verified peers Only verified users can be a "Hero". Currency Hero provides the best service for a safe foreign currency exchange experience.


A mix of one third pearlite and two thirds potting soil is recommended. The pearlite is to improve drainage.
I've had the best luck with donut shops and bakeries, which have large 5 gallon buckets for donut cream, fruit, and other ingredients. Places that sell bulk foods may also have buckets from things like peanut butter, and places that sell sandwiches get buckets for their pickles.
Here are all the places I've gotten buckets in San Francisco. I recommend going to small local bakeries for a small number of buckets, and only going to baked good manufacturers if you need a lot.
Ultimate Cookie -- 100 buckets (assorted baking ingredients)
Raison D'être -- 21 buckets
Gerhard Michler Fine European Desserts, retail location Jolt and Bolt -- 20 buckets
Clairesquares -- 16 buckets
Dianda's Italian American Pastry -- 15 buckets
Sweet Things -- 9 buckets
Pan Lido -- 7 buckets
Prickly Pig Co -- 5 buckets donated by Claire!
Burger King -- 4 buckets (pickles)
Rainbow Grocery -- 3 buckets (Rainbow usually has one or two whenever I ask their bulk section.)
Grand Mission Donuts & Bakery -- 2 buckets (Bavarian cream)
Pancho Villa -- 2 buckets (cream for their stuffed churros)
Check out my instructable!
We are selling buckets for pick up in the San Francisco Mission for $50, plus tax. Fill out this form if you would like to buy one.
Join a community of DIY urban farmers and check out all the grow bucket resources on spacebuckets.com


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 1 loaf
Dietary
Preheat the oven to 200C/400F/Gas 6. Mix the flour, yeast, salt and water in a bowl with your hands until it becomes a soft, pliable dough.
Place the dough on to a lightly floured, flat surface and knead for five minutes. Put the dough back in the bowl and leave to rise for an hour.
Bring the dough out and mix the sultanas and walnuts into it.
Shape the dough into a loaf, and roll the loaf in flaked almonds.
With a sharp knife, cut a line down the centre of the loaf.
Bake for 30 minutes, or until golden brown. Cool on a wire rack, serve toasted or with Stilton on the side.


Group Demands Investigation Into Death Of Kogi PDP Women Leader
Abuh, who was the women leader of the Peoples Democratic Party in the state, was reportedly burnt alive in her residence.
by SaharaReporters, New York
Advocacy group, Women Arise, has demanded an investigation by the Nigerian government into the death of Mrs Acheju Abuh at the hands of political thugs on Monday in Kogi State.
Abuh, who was the women leader of the Peoples Democratic Party in the state, was reportedly burnt alive in her residence.
President of Women Arise, Joe Okei-Odumakin, in a statement said the political thugs, “Poured petrol on the building and set it ablaze as other terrorised villagers watched from hiding.
“She reportedly attempted to escape through a window but was prevented by the burglar proof and gun shots with bullets raining in her direction.
“The blood thirsty thugs waited, shooting and watching with relish while Mrs Abuh cried from inside the inferno until her voice died out.
“They reportedly left only when the entire house and Abuh had been burnt to ashes.”
Okei-Odumakin called on the government to bring the perpetrators to book.
She added, “It is our take that these senseless killings continue because perpetrators are not brought to book.

“We therefore demand immediate arrest of Mrs Abuh’s killers and their prosecution.”


New-age music is a genre of music intended to create artistic inspiration, relaxation, and optimism. It is used by listeners for yoga, massage, meditation, reading as a method of stress management to bring about a state of ecstasy rather than trance, or to create a peaceful atmosphere in their home or other environments, and is associated with environmentalism and New Age spirituality.
Smooth jazz is a popular genre of music that grew out of jazz and is influenced by rhythm and blues, funk, rock and roll, and pop music styles (separately, or, in any combination). Musicians such as Kenny G, Ramsey Lewis, Dave Koz, and Spyro Gyra have had hits with instrumental recordings, while singers such as Anita Baker, Sade, Sting and Norah Jones have found success with vocal releases. George Benson remains a popular Smooth Jazz artist as both a singer and guitar player.
Chillwave (originally called glo-fi or hypnagogic pop; sometimes downtempo pop) is a subgenre of bedroom pop, characterized by a faded or dreamy retro pop sound and use of lo-fi recording techniques, effects processing, vintage synthesizers, and other attempts to loosely emulate 1980s electronic pop aesthetics as well as engage with notions of memory and nostalgia.
Hypnagogic pop is a hauntological style of pop music that developed in the mid 2000s in which underground artists drew on the music, recording formats, and popular entertainment of previous decades (in particular, the 1980s) to explore elements of cultural memory and nostalgia. The term was coined by journalist David Keenan in an August 2009 issue of The Wire to describe "pop music refracted through the memory of a memory." It was sometimes deployed interchangeably with "chillwave" and "glo-fi".


property OnPixelCombine: TPixelCombineEvent;
type TPixelCombineEvent = procedure(F: TColor32; var B: TColor32; M: TColor32) of object;
This event is redirected from the bitmap image, in order to make it accessible in the Delphi's Object Manager. There is no difference between using TCustomImage32.OnPixelCombine and TBitmap32.OnPixelCombine.


Across: 7. Calculations about hospital carpets (5) 8. Being obstructive on a picnic? (9) 9. Safari ruined without a Persian (5) 10. Interpret Landseer Dee left in gallery (9) 12. Disappointment with Penny is bad in Holy City (11) 16. Durer can be endlessly coarse! (4) 17. Huge soldier needs social worker (5) 18. Give Justine a rabbit to hold close (4) 19. Poor illumination is able to satisfy about fifty (11) 22. Songwriters split Sam’s new composition (9) 24. Friend of doctor involved in purchase (5) 25. Tiger cat runs east from smoke (9) 26. Remove disturbing tales (5) Down: 1. Very greedy to put charge on account with debts (9) 2. It’s followed around and punished (9) 3. Queen has fish (4) 4. Amazed to be up on the Dome! (4-7) 5. Tax is about right for goat-fancier? (5) 6. Unites to repel terrible smell! (5) 11. Quietly the French soldier comes up and steals (11) 13. Good man gets help for Conservative (5) 14. Stop in a tiny part of history (9) 15. Tom heard about fifty in city church (9) 20. Back South African detectives returning detection equipment (5) 21. Friend swallows a take-away? (5) 23. Adds kids (4)


Mushrooms (P. cubensis smoked)
I use 'magic' mushrooms harvested in central FL, dried in a hot air beef jerky machine.My usual oral dose is .8(8/10)gram to elevate mood and increase energy. 2grams produces mild visuals for me. I set aside .6(6/10)gram for smoking to submit a report. Sample was two small caps and several small stem pieces.All material was broken into small pieces and smoked through a single stage waterpipe with a 'one hitter' bowl.
Resulted in 4 'hits' taken in a short period. Mild effects felt after 5-10 minutes (similar to small oral dose after 25-30 min) and diminished after 20 min (compared to oral dose diminishing after 120-150 min)
To compare, I took .5(5/10)gram catnip (works on the cat...) and smoked in the same manner and got much the same results.(Guess who's out of cannabis..)
Not a preferred method to ingest mushrooms for me.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{{ p.id }}
{{ p.introduction }}
View--- layout: hub id: Welcome permalink: / title: Welcome introduction: OpenAerialMap is an open collection of aerial imagery. Learn more about the components of OAM through the documentation below. ---
{{ p.introduction }}
View


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object java.security.cert.CertificateFactory
public class CertificateFactory
This class defines the functionality of a certificate factory, which is
used to generate certificate, certification path (CertPath
)
and certificate revocation list (CRL) objects from their encodings.
For encodings consisting of multiple certificates, use
generateCertificates
when you want to
parse a collection of possibly unrelated certificates. Otherwise,
use generateCertPath
when you want to generate
a CertPath
(a certificate chain) and subsequently
validate it with a CertPathValidator
.
A certificate factory for X.509 must return certificates that are an
instance of java.security.cert.X509Certificate
, and CRLs
that are an instance of java.security.cert.X509CRL
.
The following example reads a file with Base64 encoded certificates,
which are each bounded at the beginning by -----BEGIN CERTIFICATE-----, and
bounded at the end by -----END CERTIFICATE-----. We convert the
FileInputStream
(which does not support mark
and reset
) to a BufferedInputStream
(which
supports those methods), so that each call to
generateCertificate
consumes only one certificate, and the
read position of the input stream is positioned to the next certificate in
the file:
FileInputStream fis = new FileInputStream(filename); BufferedInputStream bis = new BufferedInputStream(fis); CertificateFactory cf = CertificateFactory.getInstance("X.509"); while (bis.available() > 0) { Certificate cert = cf.generateCertificate(bis); System.out.println(cert.toString()); }
The following example parses a PKCS#7-formatted certificate reply stored in a file and extracts all the certificates from it:
FileInputStream fis = new FileInputStream(filename); CertificateFactory cf = CertificateFactory.getInstance("X.509"); Collection c = cf.generateCertificates(fis); Iterator i = c.iterator(); while (i.hasNext()) { Certificate cert = (Certificate)i.next(); System.out.println(cert); }
Certificate
,
X509Certificate
,
CertPath
,
CRL
,
X509CRL
| Constructor Summary | |
|---|---|
protected |
CertificateFactory(CertificateFactorySpi certFacSpi,
Provider provider,
String type)
Creates a CertificateFactory object of the given type, and encapsulates the given provider implementation (SPI object) in it. |
| Method Summary | |
|---|---|
Certificate |
generateCertificate(InputStream inStream)
Generates a certificate object and initializes it with the data read from the input stream inStream . |
Collection<? extends Certificate> |
generateCertificates(InputStream inStream)
Returns a (possibly empty) collection view of the certificates read from the given input stream inStream . |
CertPath |
generateCertPath(InputStream inStream)
Generates a CertPath object and initializes it with
the data read from the InputStream inStream. |
CertPath |
generateCertPath(InputStream inStream,
String encoding)
Generates a CertPath object and initializes it with
the data read from the InputStream inStream. |
CertPath |
generateCertPath(List<? extends Certificate> certificates)
Generates a CertPath object and initializes it with
a List of Certificate s. |
CRL |
generateCRL(InputStream inStream)
Generates a certificate revocation list (CRL) object and initializes it with the data read from the input stream inStream . |
Collection<? extends CRL> |
generateCRLs(InputStream inStream)
Returns a (possibly empty) collection view of the CRLs read from the given input stream inStream . |
Iterator<String> |
getCertPathEncodings()
Returns an iteration of the CertPath encodings supported
by this certificate factory, with the default encoding first. |
static CertificateFactory |
getInstance(String type)
Generates a certificate factory object that implements the specified certificate type. |
static CertificateFactory |
getInstance(String type,
Provider provider)
Generates a certificate factory object for the specified certificate type from the specified provider. |
static CertificateFactory |
getInstance(String type,
String provider)
Generates a certificate factory object for the specified certificate type from the specified provider. |
Provider |
getProvider()
Returns the provider of this certificate factory. |
String |
getType()
Returns the name of the certificate type associated with this certificate factory. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
protected CertificateFactory(CertificateFactorySpi certFacSpi, Provider provider, String type)
certFacSpi
- the provider implementation.provider
- the provider.type
- the certificate type.| Method Detail |
|---|
public static final CertificateFactory getInstance(String type) throws CertificateException
type
- the name of the requested certificate type.
See Appendix A in the
Java Cryptography Architecture API Specification & Reference
for information about standard certificate types.
CertificateException
- if the requested certificate type is
not available in the default provider package or any of the other
provider packages that were searched.public static final CertificateFactory getInstance(String type, String provider) throws CertificateException, NoSuchProviderException
type
- the certificate typeprovider
- the name of the provider.
CertificateException
- if the certificate type is
not available from the specified provider.
NoSuchProviderException
- if the provider has not been
configured.Provider
public static final CertificateFactory getInstance(String type, Provider provider) throws CertificateException
provider
doesn't have to be registered.
type
- the certificate typeprovider
- the provider
CertificateException
- if the certificate type is
not available from the specified provider.
IllegalArgumentException
- if the provider
is
null.Provider
public final Provider getProvider()
public final String getType()
public final Certificate generateCertificate(InputStream inStream) throws CertificateException
inStream
.
In order to take advantage of the specialized certificate format
supported by this certificate factory,
the returned certificate object can be typecast to the corresponding
certificate class. For example, if this certificate
factory implements X.509 certificates, the returned certificate object
can be typecast to the X509Certificate
class.
In the case of a certificate factory for X.509 certificates, the
certificate provided in inStream
must be DER-encoded and
may be supplied in binary or printable (Base64) encoding. If the
certificate is provided in Base64 encoding, it must be bounded at
the beginning by -----BEGIN CERTIFICATE-----, and must be bounded at
the end by -----END CERTIFICATE-----.
Note that if the given input stream does not support
mark
and
reset
, this method will
consume the entire input stream. Otherwise, each call to this
method consumes one certificate and the read position of the
input stream is positioned to the next available byte after
the inherent end-of-certificate marker. If the data in the input stream
does not contain an inherent end-of-certificate marker (other
than EOF) and there is trailing data after the certificate is parsed, a
CertificateException
is thrown.
inStream
- an input stream with the certificate data.
CertificateException
- on parsing errors.public final Iterator<String> getCertPathEncodings()
CertPath
encodings supported
by this certificate factory, with the default encoding first. See
Appendix A in the
Java Certification Path API Programmer's Guide for information about
standard encoding names and their formats.
Attempts to modify the returned Iterator
via its
remove
method result in an
UnsupportedOperationException
.
Iterator
over the names of the supported
CertPath
encodings (as String
s)public final CertPath generateCertPath(InputStream inStream) throws CertificateException
CertPath
object and initializes it with
the data read from the InputStream
inStream. The data
is assumed to be in the default encoding. The name of the default
encoding is the first element of the Iterator
returned by
the getCertPathEncodings
method.
inStream
- an InputStream
containing the data
CertPath
initialized with the data from the
InputStream
CertificateException
- if an exception occurs while decodingpublic final CertPath generateCertPath(InputStream inStream, String encoding) throws CertificateException
CertPath
object and initializes it with
the data read from the InputStream
inStream. The data
is assumed to be in the specified encoding. See Appendix A in the
Java Certification Path API Programmer's Guide
for information about standard encoding names and their formats.
inStream
- an InputStream
containing the dataencoding
- the encoding used for the data
CertPath
initialized with the data from the
InputStream
CertificateException
- if an exception occurs while decoding or
the encoding requested is not supportedpublic final CertPath generateCertPath(List<? extends Certificate> certificates) throws CertificateException
CertPath
object and initializes it with
a List
of Certificate
s.
The certificates supplied must be of a type supported by the
CertificateFactory
. They will be copied out of the supplied
List
object.
certificates
- a List
of Certificate
s
CertPath
initialized with the supplied list of
certificates
CertificateException
- if an exception occurspublic final Collection<? extends Certificate> generateCertificates(InputStream inStream) throws CertificateException
inStream
.
In order to take advantage of the specialized certificate format
supported by this certificate factory, each element in
the returned collection view can be typecast to the corresponding
certificate class. For example, if this certificate
factory implements X.509 certificates, the elements in the returned
collection can be typecast to the X509Certificate
class.
In the case of a certificate factory for X.509 certificates,
inStream
may contain a sequence of DER-encoded certificates
in the formats described for
generateCertificate
.
In addition, inStream
may contain a PKCS#7 certificate
chain. This is a PKCS#7 SignedData object, with the only
significant field being certificates. In particular, the
signature and the contents are ignored. This format allows multiple
certificates to be downloaded at once. If no certificates are present,
an empty collection is returned.
Note that if the given input stream does not support
mark
and
reset
, this method will
consume the entire input stream.
inStream
- the input stream with the certificates.
CertificateException
- on parsing errors.public final CRL generateCRL(InputStream inStream) throws CRLException
inStream
.
In order to take advantage of the specialized CRL format
supported by this certificate factory,
the returned CRL object can be typecast to the corresponding
CRL class. For example, if this certificate
factory implements X.509 CRLs, the returned CRL object
can be typecast to the X509CRL
class.
Note that if the given input stream does not support
mark
and
reset
, this method will
consume the entire input stream. Otherwise, each call to this
method consumes one CRL and the read position of the input stream
is positioned to the next available byte after the the inherent
end-of-CRL marker. If the data in the
input stream does not contain an inherent end-of-CRL marker (other
than EOF) and there is trailing data after the CRL is parsed, a
CRLException
is thrown.
inStream
- an input stream with the CRL data.
CRLException
- on parsing errors.public final Collection<? extends CRL> generateCRLs(InputStream inStream) throws CRLException
inStream
.
In order to take advantage of the specialized CRL format
supported by this certificate factory, each element in
the returned collection view can be typecast to the corresponding
CRL class. For example, if this certificate
factory implements X.509 CRLs, the elements in the returned
collection can be typecast to the X509CRL
class.
In the case of a certificate factory for X.509 CRLs,
inStream
may contain a sequence of DER-encoded CRLs.
In addition, inStream
may contain a PKCS#7 CRL
set. This is a PKCS#7 SignedData object, with the only
significant field being crls. In particular, the
signature and the contents are ignored. This format allows multiple
CRLs to be downloaded at once. If no CRLs are present,
an empty collection is returned.
Note that if the given input stream does not support
mark
and
reset
, this method will
consume the entire input stream.
inStream
- the input stream with the CRLs.
CRLException
- on parsing errors.
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


You may have used something like CodeKit or Hammer to handle these tasks in the past. I think both of these apps are great (and have used them extensively in the past) but where Grunt wins out is customizability. There are masses of plugins available to help integrate everything from image optimizing to CSS style injection into your workflow.


Move the orange dot to REP
.
graphInit({
range: [ [ LOWER_BOUND - 1, UPPER_BOUND + 1], [ LOWER_BOUND - 1, UPPER_BOUND + 1 ] ],
tickStep: 1,
labelStep: 1,
scale: 30
});
label( [6, 0.5], "Re", "left");
label( [0.5, 5], "Im", "right");
addMouseLayer();
this.movablePoint = addMovablePoint({ constraints: {}, snapX: 0.5, snapY: 0.5 });
movablePoint.onMove = function(x, y) {
if ( x < LOWER_BOUND || x > UPPER_BOUND || y < LOWER_BOUND || y > UPPER_BOUND ) {
return false;
}
jQuery( "#real-part input" ).val( x );
jQuery( "#imaginary-part input" ).val( y );
};
REAL
IMAG
Complex numbers can be visualized as points on a plane. The coordinates on the
real and imaginary axes correspond to the real and imaginary parts of the complex number.
REP
has real part REAL
and imaginary part IMAG
.
style({ stroke: KhanUtil.ORANGE, strokeWidth: 2.0 });
line( [ REAL, LOWER_BOUND - 1 ], [ REAL, UPPER_BOUND + 1 ] );
movablePoint.visibleShape().toFront();
The vertical orange line represents all complex numbers with real part REAL
(including REP
).
style({ stroke: KhanUtil.BLUE, strokeWidth: 2.0 });
line( [ LOWER_BOUND - 1, IMAG ], [ UPPER_BOUND + 1, IMAG ] );
movablePoint.visibleShape.toFront();
The horizontal blue line represents all complex numbers with imaginary part IMAG
, also including REP
.
movablePoint.moveTo( REAL, IMAG );
The only complex number with real part REAL
and imaginary part IMAG
is REP
,
so it lies on the intersection of the vertical orange line and the horizontal blue line.


| | |
- builtins.object
-
- IrisDataset
- MultiDKNN
class IrisDataset(builtins.object) |
| |
Fisher's(1936) iris flower dataset formatted for imidiate use by the MultiDKNN classifier.
FISHER, R. A. (1936), THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS. Annals of Eugenics, 7: 179-188. doi:10.1111/j.1469-1809.1936.tb02137.x |
| |
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes defined here:
- feature_names = [['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']]
- features = [[5.1, 3.5, 1.4, 0.2], [4.9, 3.0, 1.4, 0.2], [4.7, 3.2, 1.3, 0.2], [4.6, 3.1, 1.5, 0.2], [5.0, 3.6, 1.4, 0.2], [5.4, 3.9, 1.7, 0.4], [4.6, 3.4, 1.4, 0.3], [5.0, 3.4, 1.5, 0.2], [4.4, 2.9, 1.4, 0.2], [4.9, 3.1, 1.5, 0.1], [5.4, 3.7, 1.5, 0.2], [4.8, 3.4, 1.6, 0.2], [4.8, 3.0, 1.4, 0.1], [4.3, 3.0, 1.1, 0.1], [5.8, 4.0, 1.2, 0.2], [5.7, 4.4, 1.5, 0.4], [5.4, 3.9, 1.3, 0.4], [5.1, 3.5, 1.4, 0.3], [5.7, 3.8, 1.7, 0.3], [5.1, 3.8, 1.5, 0.3], ...]
- labels = ['setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa', ...]
|
class MultiDKNN(builtins.object) |
| | |
Methods defined here:
- __init__(self)
- Initialize self. See help(type(self)) for accurate signature.
- argsort(self, l)
- Returns a list-like object containing the sorted indexes of a list-like object.Meant for internal use
- check(self)
- Checks that the training data provide is of the correct type and shape. Meant for internal use
- check_iterable(self, obj)
- Returns true if an objeck is iterable otherwise it return false. Meant for internal use
- confidence(self, prediction, other_labels)
- Calculates the confidence of the model into its prediciton.Takes 2 arguments:
prediction: The prediciton of the model. Its type depends on the type of the labels in the training dataset
other_labels: A list object that contains all the possible labels of the unlabeled point
- find_distance(self, i, j)
- Returns the distance of two n-dimensional vertices. Meant for internal use by the classifier
- fit(self, x, y)
- Fits the model. Takes two arguments:
x: Must be list-like object of list-like objects containing the features
y: Must be a list-like object containing the labels for each point
- mode(self, l)
- Returns the mode(most common element) of a list-like object. Meant for internal use
- optimizek(self, p, true_labels, up_limit)
- Returns the optimal value of k for a specific dataset. Takes 3 arguments:
p:unlabeled point/points must be a list-like object that either containes floating point values (for one point) or
list-like objects containing floating point values (for many points, each list represents a point)
true_labels: the label or labels for p. Must be a list-like object of equal lenght with p
up_limit: The highest value of k to be examined. All values from 1 to up_limit(contained) will be checked. Must be an integer
- predict(self, p, k)
- Predicts the label of a new point or points. Takes 2 arguments:
p: Unlabeled point/points must be a list-like object that either containes floating point values (for one point) or
list-like objects containing floating point values (for many points, each list represents a point)
k: The number of nearest neighbors the classifier takes into consideration. Must be an integer.
For each in point it returns a list containing the predicted label (index 0) and the confidence of the model in its decision (index 1).
- score(self, predicted_labels, true_labels)
- Returns a value for 0.0 to 1.0 which represents the accuracy of the classifier's results, the bigger the value the more accurate the classifier.
Takes 2 arguments:
predicted_labels: A list-like object that contains the results of a classifier for a specific set of points.
Use labeled points in the MultiDKNN().predict() to get those
true_labels: A list-like object that contains the valid labels of a specific set of points
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


I am not currently looking for new design work, but I am available for consult work and similar gigs. If you have any questions, please don't hesitate to contact me!
Please only use phone contact for urgent inquiries. otherwise, twitter and email are the best way to reach me.


Guides
Welcome to CanJS! These guides are here to help you develop and improve your relationship with CanJS. After all, picking a JavaScript framework is a commitment. We want CanJS to be the framework you marry. This page helps you know how to advance through the different stages of this relationship:
Experimenting
So now you’ve decided to give CanJS a try. The best place to start is the Chat Guide. It’s only an hour and shows off CanJS’s best features while you build a real-time chat application. You build the whole thing in a JS Bin.
Next, you’ll want to try the TodoMVC Guide. This takes about 1.5 hours and touches on every core part of CanJS. You can also follow the whole guide in a JS Bin.
After that, check out the ATM Guide. It takes about 2 hours and shows how to build and test an ATM. It also shows how to composite state. The whole guide is done in a JS Bin.
You might also want to to go through DoneJS’s Place My Order Guide. This is an in-depth look at how CanJS works within the context of a wide variety of other tools. This guide takes about 8 hours.
Finally, when you’re just about to commit, read Setting up CanJS to learn how to set up CanJS for your particular environment.
Commitment
Once you’ve committed to CanJS, it’s important that you keep liking it and get better at using it.
CanJS’s community has lots of people who can offer advice and tips on how to build an application the right way. Instead of struggling, please ask for advice on Gitter chat or the forums. Share a screenshot of what you’re building and we’ll tell you what needs to be done.
To stay up on CanJS’s latest news, we suggest:
- Following @CanJS on twitter.
- Subscribing to Bitovi’s development blog.
To get hands-on instruction, sign up for a DoneJS meetup in your area:
- Boston
- Chicago
- Ft. Lauderdale
- Los Angeles
- New York
- Phoenix
- Raleigh-Durham
- San Francisco
- Seattle
- Silicon Valley
If you’ve already committed to CanJS and are looking to move to 3.0, read Migrating to CanJS 3.
Contributing
Once you’ve settled down with CanJS, it’s time to think about adding extensions and improvements to the framework of your own. There are many ways to contribute to CanJS, including:
- Report a bug
- Suggest a feature
- Code changes
- Documentation improvements
- Create a plugin
- Evangelism - Blog, meetup and conference talks
- Releases - Maintaining CanJS
CanJS is managed by the DoneJS Contributors Team. All contributions from all types of contributors are welcome. Contributing to an Open Source project can be an intimidating experience. We’re committed to making the experience as pleasant and rewarding as possible. We’re happy to set up a pairing session to show you how to fix a bug or write a feature.
If you have any questions, you can always reach us on Gitter chat.
If you want to become a CanJS contributor, you simply have to:
- Email the core team expressing your interest.
- Attend the weekly DoneJS Contributors meeting twice a month. DoneJS Calendar.
- Make one small contribution, even a spelling correction, a month.
Issues that should be easy for a new contributor to pick up have an “easy” label. This GitHub search makes it easy to find easy issues across all the CanJS repositories.


--- layout: post title: LUSH Love Lettuce Fresh Face Mask tags: - Lush status: publish type: post published: true meta: _edit_last: '2' wp_plus_one_redirect: '' _aioseop_keywords: LUSH Love Lettuce Fresh Face Mask review _aioseop_title: LUSH Love Lettuce Fresh Face Mask review wp_plus_one_disabled: '1' _yoast_wpseo_linkdex: '0' _thumbnail_id: '4105' _yoast_wpseo_focuskw: '' _yoast_wpseo_title: '' _yoast_wpseo_metadesc: '' _yoast_wpseo_metakeywords: '' _yoast_wpseo_meta-robots-noindex: '0' _yoast_wpseo_meta-robots-nofollow: '0' _yoast_wpseo_meta-robots-adv: none _yoast_wpseo_sitemap-include: ! '-' _yoast_wpseo_sitemap-prio: ! '-' _yoast_wpseo_canonical: '' _yoast_wpseo_redirect: '' ---
MASK... this one is truly the THE MASK... remember the men in yellow dress with a green mask
yup exactly THE MASK :)
I recently picked up my first LUSH fresh face mask and just loving it. Love lettuce does look like shredded lettuce in a clay base but did I see lettuce in the ingredients, nope surprisingly I did not. But still no doubt its a great mask for normal to oily skin like mine.
Price: Rs.520 for 100gm Contains: My Experience: My first thought after seeing, it looks liked Pista Kaju Icecream and take a sniff, wow it smells the same. It has grounded almonds hence feels a little gritty and works as mask cum scrub.  It feels fresh and gives a glow, which does last for like a day. I wont say this does wonders, I would say its an average mask for normal-oily skin, but since its completely natural and fresh, I like it. Also the scrub is very gentle and can be used everyday. Major disadvantage is short life span of 2 weeks and it needs to be stored in refrigerator. What I like:


You can specify outer joins using the following syntax: {oj table (LEFT|RIGHT|FULL) OUTER JOIN (table | outer-join) ON search-condition }
{oj table (LEFT|RIGHT|FULL) OUTER JOIN (table | outer-join) ON search-condition }
For example :
ResultSet rs = stmt.executeQuery( "select * from {oj a left outer join b on (a.i=b.i)} ");


The package wraps around biomaRt package to provide a fast way of ortholog mapping.
install.packages("BiocManager")
BiocManager::install(c("vitkl/orthologsBioMART"), dependencies=T)
Mapping between any species:
findOrthologs = function(datasets_FROM_TO = loadBIOMARTdatasets(from = "hsapiens_gene_ensembl",
to = "mmusculus_gene_ensembl"),
from_filters = "hgnc_symbol", # type of input identifier
from_values = c("TP53", "TERT"), # gene identifiers to map
to_attributes = "external_gene_name", # type of output identifier
# column in the input database that maps to ENSEMBL id of the output database:
to_homolog_attribute = "mmusculus_homolog_ensembl_gene",
# column with ENSEMBL gene id in the input database:
from_gene_id_name = "human_ensembl_gene_id",
# column with ENSEMBL gene id in the output database:
to_gene_id_name = "mouse_ensembl_gene_id")
Mapping human to mouse and mouse to human:
findOrthologsHsMm(from_filters = "hgnc_symbol",
from_values = c("TP53","TERT"),
to_attributes = "external_gene_name")
findOrthologsMmHs(from_filters = "ensembl_gene_id",
from_values = c("ENSMUSG00000059552", "ENSMUSG00000021611"),
to_attributes = "hgnc_symbol")
To find the correct to_homolog_attribute
between species use:
attr = attributesFiltersFromTo(datasets_FROM_TO = loadBIOMARTdatasets())
# examine attr
attr
# find the desired column name
attr$from_attributes[grep("Mouse gene stable ID", attr, ignore.case = T),]
Mapping between any species:
# find correct dataset name for your species
from pybiomart import Server
server = Server(host='http://www.ensembl.org')
server.marts['ENSEMBL_MART_ENSEMBL'].list_datasets()
from import FindOrthologs
# then create the find orthogues object using correct datasets and attributes
# use help(FindOrthologs)
hs2mm = FindOrthologs(
host = 'http://www.ensembl.org',
mart = 'ENSEMBL_MART_ENSEMBL',
from_dataset = 'hsapiens_gene_ensembl',
to_dataset = 'mmusculus_gene_ensembl',
from_filters = 'hgnc_symbol',
from_values = ['TP53', 'TERT'],
to_attributes = 'external_gene_name',
to_homolog_attribute = 'mmusculus_homolog_ensembl_gene',
from_gene_id_name = 'human_ensembl_gene_id',
to_gene_id_name = 'mouse_ensembl_gene_id'
)
hs2mm.map()
Mapping mouse to human and vice-versa:
findOrthologsMmHs(from_filters = 'link_ensembl_gene_id',
from_values = ['ENSMUSG00000059552', 'ENSMUSG00000021611']).map()
findOrthologsMmHs(from_filters = 'external_gene_name',
from_values = ['Trp53', 'Tert']).map()
findOrthologsHsMm(from_filters = 'link_ensembl_gene_id',
from_values = ['ENSG00000141510', 'ENSG00000164362']).map()
findOrthologsHsMm(from_filters = 'hgnc_symbol',
from_values = ['TP53', 'TERT']).map()


On A Whim is a biweekly internet radio show brought to you by Aberdeen Student Radio. There is no set theme so every week there is a new and exciting topic to be discussed! It's hosted by Tess Schulze, a Second Year studying English and Philosophy at the University of Aberdeen. On A Whim recently won the Best Talk Show Award for ASR! Tune in to find out why!
Aberdeen Student Radio is a student-run live internet radio station which aims to provide listeners with a variety of sounds and thought-provoking talks. With music shows ranging from house, to shoegaze, to motown and with talk shows ranging from philosophy, to politics, to film, ASR’s mission is to keep listeners engaged and informed in innovative and creative ways. It is our hope that when you tune in, you have learned something new or discovered new music that piques your interest. Listen to the station here. Keep up to date with what's going on with On A Whim through Facebook.


Here is a photo from Unsplash. The photo is free for commercial use. I put it here just for the app example. The photo was taken by Ben Moore.
This is an example app that serves as the 1st chapter of my book – Rich Interactive App Development with CreateJS. This example demonstrates a custom animated transition. It lacks some essential features but this is just for the chapter 1. More features coming in future chapter.
This example is bought to you by Makzan. He has written three books and one video course on building a Flash virtual world and creating games with HTML5 and the latest web standards. He is currently teaching courses in Hong Kong and Macao SAR.


IIT Delhi
Survey Form
Contact
IIT Delhi Survey on COVID-19
PART D : TRAVEL DETAILS
How do you usually (before the COVID-19 outbreak) travel to your school/college/university? (Single Choice)
On foot
By bicycle
By e-bike
By personal 2 wheeler (owned by you)
On Friend's 2 wheeler
By public transport (train, bus, metro etc.)
By Para Transit (local auto, minivan, taxi, cycle rickshaw etc.)
By Personal Car (driving by myself)
By Personal Car (Driven by a family member / driver)
By School/College provided Bus/Van/Auto etc.
Taxi / Ride-sourcing (Uber, Ola, Meru etc.)
Park and ride (riding yourself using e-bike of commercial service provider such as Bounce, Vogo etc.)
Other (Please specify) :
Time Taken to reach your school/college/university :
Please answer the duration for one way :
PART E : SOCIO-DEMOGRAPHICS
Household Size? ( includes all family members staying with you during COVID 19)
No of Children below 13 years :
No of Adults between 13-60 :
No of Elderly members above 60 :
What is your gender?
Completed Age? (Please provide year of birth)
Highest Completed Educational Degree?
Your Marital Status?
Present Employment Status of your Parents?
Father :
Mother :
Household Income Per Month (in Indian Rupees)?
Household Vehicle Ownership Details
No. of Cars :
No. of 2 Wheelers (Bike) :
No. of Bicycles :
Other Vehicles eg. Auto :
Do you own a Driving License?
Next Page


Bootstrap ships with vanilla CSS, but its source code utilizes the two most popular CSS preprocessors, Less and Sass. Quickly get started with precompiled CSS or build on the source.
Bootstrap easily and efficiently scales your websites and applications with a single code base, from phones to tablets to desktops with CSS media queries.
With Bootstrap, you get extensive and beautiful documentation for common HTML elements, dozens of custom HTML and CSS components, and awesome jQuery plugins.
Bootstrap ships with vanilla CSS, but its source code utilizes the two most popular CSS preprocessors, Less and Sass. Quickly get started with precompiled CSS or build on the source.
Bootstrap easily and efficiently scales your websites and applications with a single code base, from phones to tablets to desktops with CSS media queries.
With Bootstrap, you get extensive and beautiful documentation for common HTML elements, dozens of custom HTML and CSS components, and awesome jQuery plugins.


Senior HPC and Cloud Systems Engineer at The Francis Crick Institute
Visitor at High Energy Physics Group, Imperial College London
OpenStack operator (and user) since Essex...
Early cloud exposure
AWS experimentation at University of Manchester
Fedora Cloud group
Grid Incumbents
Particle Physics
Worldwide LHC Computing Grid
The mission of the WLCG project is to provide global computing resources
to store, distribute and analyse the ~30 Petabytes (30 million Gigabytes) of
data annually generated by the Large Hadron Collider (LHC) at CERN
Why bother with clouds?
Cloud Impetus/Barriers
WLCG not as special anymore
Remote data feasibility
Inertia
CMS
CMS Tier0 (~9,000 cores) now on OpenStack
Long-lived VMs
Multicore scale testing
glideinWMS
CMS High-Level Trigger
~16,000 cores
Available for repurposing
Must not interfere with data acquisition
CMSooooCloud
Hierarchical Squid caches
Incomplete/buggy EC2 API implementation
HTCondor job monitoring wrinkles
Repurposed hardware
Wrote a local image pre-caching tool
A more dynamic HLT cloud?
How to expand usage?
Trade-off of killing jobs versus doing useful work
Need to start and stop VMs quickly and reliably
CMS HLT and other cloud usage
Some problems with earlier OpenStack releases in stopping VMs
cloud-igniter tool, to allow HLT team to be in control of VMs
Also using institutional clouds - UK and Italy
Commercial providers
ATLAS
Cloud R&D then production efforts
Micro-CernVM with cloud-init
HTCondor batch job scheduling
Cloud Scheduler dynamic VM provisioning
CVMFS
ATLAS continued
Need Squid for applications, conditions data and CVMFS
Glint plugin for image management across multiple clouds
OpenStack overheads
Shift in methodology
Accounting
ATLAS Opportunistic OpenStack
Simulation at Point 1 project
"suitable for running CPU-bound, low I/O workloads such as event generation and Monte Carlo production"
Similar reliability concerns as CMS
Fast switching tool
ATLAS encore
Interest in ARM clouds, at an early stage
Would like equivalent of spot-pricing to allow backfilling on any resource
The distributed, multi-cloud nature of the system presents unique challenges.


COURSE OUTLINE
1. Dental Anatomy / Physiology (this course introduces the anatomy of the individual tooth and the basic anatomy of the head
topics in this course includes anatomy, contour, occlusion, malocclusion, the temporamandibular joint, and the anatomical structure
of the head and oral cavity.)
2. Dental Materials (this course provide the study of composition, properties and uses of non-metal materials as well as the physical
and mechanical properties of the metal alloys. topics in this course includes: gypsums, waxes, acrylics, metals and policies related
to health, safety and infection control.)
3. Complete Dentures (this course introduces basis and intermediate techniques in complete denture construction
and also covers mandibular movement. topics in this course includes: baseplates, occlusion rims, articular
moutings, custom trays, setting of teeth, waxing denture bases, investing, processing, selective grinding, finishing,
and completion of complete dentures. )
4. Cast Partial Dentures (this course covers the techniques used in fabricating cast removable partial denture framework
utilizing a chrome-cobalt alloys. topics in this course includes: surveying, designing, block-out)


As you can see, the minimalist theme is for trying to give you a straight forward, linear design pattern.
Pages are ordered based on the very 1 page's child pages.
So you'd have a structure like this:


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IV. Competition Missions
This section will explain the limitations on car models, sensors and the missions to complete in each individual category.
The dimension of the car models after assembly must adhere to the unified requirements:
In all categories, in a normal running posture, the car length must be less than 40cm, width less than 25cm and height less than 40cm.
Length Measuring Method: The required length is the length along the forward direction of the car, from the back of the car to the most front sensor. The bump protection piece is not included in the calculation.
Width Measuring Method: The entire width of the car. There is a separate width limitation regarding the protective piece in the Beacon Duel category.
Height Measuring Method: The highest point of the car to the ground. For the Dual-Car Crossover and Power-Saving categories, the height from the center of the lens of the camera sensor to the ground is required to be less than 10cm.
A. Quad-Wheel Photoelectric Category
(1) Car Models
It is allowed to use the B car model. The car model uses a single motor to drive the back wheels, motor model 540. The front wheels are steered by an SD-5 steering motor for turning.
(2) Sensors
It is allowed to use all sorts of photoelectric sensors, cameras, ultrasonic sensors for track and environment detection.
(3) Competition Track
The competition is completed on PVC tracks. The competition track has black edge strips for guidance. Track elements include those stated in chapter 3.
(4) Competition Mission
Cars which are constructed by contestants must complete a lap on the track. Time is recorded from the moment the car crosses the starting line to the moment it returns to the starting line. If the car cannot stop in the 3m track section behind the starting line, 1s is added to the time as penalty.
B. Tri-Wheel Electromagnetic Category
(1) Car Models
Uses the tri-wheel F model. The running direction has the omni wheel in front and dual-motor-driven wheels in the back.
(2) Sensors
Allowed sensors include inductance coils or any sort of magnetic field detection sensors to detect the alternating magnetic field on the track.
It is prohibited to use any sort of photoelectric sensors or camera sensors to detect track features. However, photoelectric encoders for detecting car speed are still allowed.
The length from the far end of sensors and their structural support to the back end of the car must not exceed 40cm.
(3) Competition Track
The competition is completed on PVC tracks. The competition track has magnet wires for guidance. Track elements include those stated in chapter 3.
(4) Competition Mission
Cars which are constructed by contestants must complete a lap on the track. Time is recorded from the moment the car crosses the starting line to the moment it returns to the starting line. If the car cannot stop in the 3m track section behind the starting line, 1s is added to the time as penalty.
C. Dual-Wheel Vertical Category
(1) Car Models
It is allowed to use one of either D or E dual-wheel model.
(2) Sensors
Allowed sensors include inductance coils or any sort of magnetic field detection sensors to detect the alternating magnetic field on the track.
It is prohibited to use any sort of photoelectric sensors or camera sensors to detect track features. However, photoelectric encoders for detecting car speed are still allowed.
(3) Competition Track
The competition is completed on PVC tracks. The competition track has magnet wires for guidance. Track elements include those stated in chapter 3 other than Track Obstacles.
(4) Competition Mission
The competition consists of 2 stages. The first stage is the preliminary competition, which requires contestants to construct a vertical car for electromagnetic sensors to complete one lap. The power comes from the battery on the car. Time is recorded from the moment the car crosses the starting line to the moment it returns to the starting line. If the car cannot stop in the 3m track section behind the starting line, 1s is added to the time as penalty.
The second stage is the final. Ordering of competing pairs comes from the resulting rankings from the preliminary and a number of top teams in the preliminary is selected to compete in the final. The final uses the knockout tournament format for elimination. Competing pairs compete in parallel separate tracks and run at the same time, until meeting one of the following circumstances to decide a winner:
- When a car overtakes the other car and win;
- When a car runs off track or stops running, then the other car wins;
- When a car first completes the required number of laps. Required number laps are normally set to at least 3. The actual required laps number will be released later.
D. Dual-Car Crossover
(1) Car Models
Uses the new C quad-wheel model. Assemble 2 cars for the competition.
(2) Sensors
Allowed sensors include inductance coils or any sort of magnetic field detection sensors to detect the alternating magnetic field on the track.
It is also allowed to install a camera. The height from the center of the camera lens to the ground must not exceed 10cm. However, there is no height limitation on magnetic sensors.
It is allowed to use wireless communication modules for information exchange between cars.
(3) Competition Track
The competition is completed on PVC tracks. The competition track has magnet wires and black edge strips for guidance. Track elements include those stated in chapter 3 other than Track Obstacles.
(4) Competition Mission
Contestants assemble 2 cars, and start the cars on the left and right starting regions. The car first crosses each other near the starting line, then separate and runs in opposite directions. After meeting again midway in the course, they return again to the starting line. After passing each other again, the cars should stop in 3m range to the starting line. A successful competition requires at least 3 crossing overs.
Competition score t
equals to the time both cars complete 1 lap t1
plus the time interval then until when the 2 cars arrives at the completion positions t2 * 5
. t = t1 + 5 * t2
.
If in the competition, only 1 car completes the course, then the score is the run time of that car plus 60 seconds.
E. Wireless Power-Saving Category
(1) Car Models
It is allowed to use any one of the B, C, D, E and F car models. It is also allowed to design and construct a custom car model.
(2) Sensors
It is allowed to use both electromagnetic inductance coils to follow the guide wire or camera sensor for track feature detection.
(3) Competition Track
The competition is completed on PVC tracks. The competition track has magnet wires and black edge strips for guidance. Track elements include those stated in chapter 3 other than Track Obstacles.
The competition track car starting zones have installed on them wireless emitter coils, through AC, creates an alternating magnetic field. The car receives electrical energy through inductance coils, then charges the Farad capacitor to store energy. Regarding the specifications and manufacturing methods of the wireless charging coils, a documentation will be release separately for details.
(4) Competition Mission
It is prohibited to install any battery components. The power to drive the car comes from the wireless receiver coils by induction to provide electrical energy.
Before entering the game field, the energy storing capacitor on the car is required to undergo discharging, until the DC voltage across the capacitor becomes less than 0.1V. The timing will start when the wireless charging coils receive power. The car should run along the tracks for 2 laps and then stop in the 3m section behind the starting line. The competition score is the total time the car used to complete the 2 laps.
F. Beacon Dueling Category
(1) Car Models
It is allowed to use any one of the B, C, D, E and F car models.
(2) Sensors
It is allowed to use phototubes, cameras, microphone arrays and ultrasonic sensors to complete the detection and location of the beacons.
(3) Competition Track
The game field is set on a flat piece of ground, with a single color canvas or carpet as flooring. The game field is bordered by yellow tapes with width of 5cm. The area of the game field is approximately 5m×7m. The square car starting region is located at one corner of the game field, marked with a 2.5cm wide black tape border. The starting region is both 50cm in width and in length.
(4) Competition Mission
The competition consists of the preliminary and final 2 stages.
The first stage is the preliminary. The car assembled by the contestant is placed in the starting region. All the beacons are off at this stage. After starting the competition, the competition system will activate the first beacon. The beacon will emit sound and light as guide signals. At this point, the car should be able to recognize and confirm the location of the beacons and orientate its movements. When the magnetic label on the car enters the ring of sensor coils around the beacon, the competition system will automatically toggle the beacon and activate the next one. Then the car should go for the next lit beacon. This process should run for around 10 times. The final recorded time for the competition is when the first beacon first light up until the last one gets turned off.
The second stage is the final. Ordering of competing pairs comes from the resulting rankings from the preliminary. 2 cars from 2 teams are on the game field simultaneously, the team who deactivated more beacons wins.
The upper limit of the number of installed magnetic labels on the car is 4. The shortest distance between the magnetic label and either the wheels or the base board must not exceed 5cm, and the distance to the ground must not exceed 2cm.


class CollectionsRepository
Retreives collection instances and sets and fields for us.
This class is used in many places to retreieve collection data from the database.
Methods
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__construct(DvsCollectionInstance $CollectionInstance, DvsCollectionSet $CollectionSet, DvsField $Field, DvsPageVersion $PageVersion, CollectionFieldsFactory $CollectionFieldsFactory)
Construct a new repository with all the dependencies |
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| EloquentCollection[CollectionInstance] |
getInstances(int $pageVersionId, int $collectionSetId)
This is used by the /admin/pages/{pageVersionId}/collections/{collectionSetId}/instances slug |
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| array |
findCollectionsForPageVersionId(int $pageVersionId)
When we only have the pageVersionId we can use this function as a proxy to findCollectionsForPageVersion |
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| array($collectionName |
findCollectionsForPageVersion(DvsPageVersion $pageVersion)
Get the list of collections for this page |
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| EloquentCollection[CollectionInstance] |
findCollectionInstancesForCollectionSetIdAndPageVersionId(int $collectionSetId, int $pageVersionId)
Get the instances + fields for this collection set / page_version combo |
Details
at line 56
public
__construct(DvsCollectionInstance $CollectionInstance, DvsCollectionSet $CollectionSet, DvsField $Field, DvsPageVersion $PageVersion, CollectionFieldsFactory $CollectionFieldsFactory)
Construct a new repository with all the dependencies
at line 72
public EloquentCollection[CollectionInstance]
getInstances(int $pageVersionId, int $collectionSetId)
This is used by the /admin/pages/{pageVersionId}/collections/{collectionSetId}/instances slug
at line 88
public array
findCollectionsForPageVersionId(int $pageVersionId)
When we only have the pageVersionId we can use this function as a proxy to findCollectionsForPageVersion
at line 99
public array($collectionName
findCollectionsForPageVersion(DvsPageVersion $pageVersion)
Get the list of collections for this page
at line 132
public EloquentCollection[CollectionInstance]
findCollectionInstancesForCollectionSetIdAndPageVersionId(int $collectionSetId, int $pageVersionId)
Get the instances + fields for this collection set / page_version combo