This repository contains a set of native Angular directives based on Bootstrap's markup and CSS. As a result no dependency on jQuery or Bootstrap's JavaScript is required. The only required dependencies are:
Bootstrap Javascript files are not required
The goal of ng-bootstrap is to completely replace JavaScript implementation for components. There is no need to include the Bootstrap Javascript scripts or other dependencies like jQuery or popper.js as described here. It is not necessary and might interfere with ng-bootstrap code.
We strive to support the same browsers and versions as supported by both Bootstrap 4 and Angular, whichever is more restrictive. Check browser support notes for Angular and Bootstrap.
Our code is automatically tested on all the supported browsers.
Install Angular.
Install Bootstrap:
npm install bootstrap
Once bootstrap has installed, reference its css from your `styles.css` file:
@import "../node_modules/bootstrap/dist/css/bootstrap.css"
Should I add the Bootstrap JavaScript files e.g. bootstrap.js or bootstrap.min.js, to my project?
No, the goal of ng-bootstrap is to completely replace JavaScript implementation for components. Nor should you include other dependencies like jQuery or popper.js. It is not necessary and might interfere with ng-bootstrap code.
Install ng-bootstrap
via: npm install --save @ng-bootstrap/ng-bootstrap
Once installed you need to import our main module.
import {NgbModule} from '@ng-bootstrap/ng-bootstrap';
The only remaining part is to list the imported module in your root module and any additional application
modules that make use of the components in this library. The exact method will be slightly different for the root
(top-level) module for which you should end up with the code similar to (notice NgbModule.forRoot()
):
import {NgbModule} from '@ng-bootstrap/ng-bootstrap'; @NgModule({ declarations: [AppComponent, ...], imports: [NgbModule.forRoot(), ...], bootstrap: [AppComponent] }) export class AppModule { }
Other modules in your application can simply import NgbModule
:
import {NgbModule} from '@ng-bootstrap/ng-bootstrap'; @NgModule({ declarations: [OtherComponent, ...], imports: [NgbModule, ...] }) export class OtherModule { }
If you are using SystemJS, you should also adjust your configuration to point to the UMD bundle.
In your systemjs config file, map
needs to tell the System loader where to look for ng-bootstrap
:
map: {
'@ng-bootstrap/ng-bootstrap': <EMAIL_ADDRESS>}
Please, do not open issues for the general support questions as we want to keep GitHub issues for bug reports
and feature requests. You've got much better chances of getting your question answered on
StackOverflow where the community at large are looking
at questions tagged with ng-bootstrap
.
StackOverflow is a much better place to ask questions since:
To save your and our time we will be systematically closing all the issues that are requests for general support and redirecting people to StackOverflow.
We are always looking for the quality contributions! Please check the Contributing doc for contribution guidelines. Additionally, for local building and testing information, please see our Developer's Guide.
Please take a moment to read our Code of Conduct.


import Recipe from '../models/recipe.model';
export default (app, router) => {
_recipe.router.js
(c) 2016 David Newman
<EMAIL_ADDRESS>_recipe.router.js may be freely distributed under the MIT license
/app/routes/_recipe.router.js
HTTP Verb Route Description
GET /api/recipe Get all of the recipes GET /api/recipe/:recipe_id Get a single recipe by recipe id POST /api/recipe Create a single recipe DELETE /api/recipe/:recipe_id Delete a single recipe PUT /api/recipe/:recipe_id Update a recipe with new info
Load the recipe
model
import Recipe from '../models/recipe.model';
export default (app, router) => {
Define routes for the recipe
API
router.route('/recipe')
recipe
Accessed at POST http://localhost:8080/api/recipe
Create a recipe
.post((req, res) => {
Recipe.create({
title : req.body.title,
tags : req.body.tags,
rating : req.body.rating,
description : req.body.description,
ingredients : req.body.ingredients,
directions : req.body.directions,
}, (err, recipe) => {
if (err)
res.send(err);
DEBUG
console.log(`Recipe created: ${recipe}`);
return the new recipe
to our front-end
res.json(recipe);
});
})
recipes
Accessed at GET http://localhost:8080/api/recipe
.get((req, res) => {
Use mongoose to get all recipes in the database
Recipe.find((err, recipe) => {
if(err)
res.send(err);
else
res.json(recipe);
});
});
router.route('/recipe/:recipe_id')
recipe
by IDAccessed at GET http://localhost:8080/api/recipe/:recipe_id
.get((req, res) => {
Use mongoose to fetch a single recipe
by id in the database
Recipe.findOne(req.params.recipe_id, (err, recipe) => {
if(err)
res.send(err);
else
res.json(recipe);
});
})
recipe
by IDAccessed at PUT http://localhost:8080/api/recipe/:recipe_id
.put((req, res) => {
use our recipe
model to find the recipe
we want
Recipe.findOne({
'_id' : req.params.recipe_id
}, (err, recipe) => {
if (err)
res.send(err);
Only update a field if a new value has been passed in
if (req.body.title)
recipe.title = req.body.title;
if (req.body.tags)
recipe.tags = req.body.tags;
if (req.body.rating)
recipe.rating = req.body.rating;
if (req.body.creator)
recipe.creator = req.body.creator;
if (req.body.description)
recipe.description = req.body.description;
if (req.body.ingredients)
recipe.ingredients = req.body.ingredients;
if (req.body.directions)
recipe.directions = req.body.directions;
save the recipe
return recipe.save((err) => {
if (err)
res.send(err);
return res.send(recipe);
});
});
})
recipe
by IDAccessed at DELETE http://localhost:8080/api/recipe/:recipe_id
.delete((req, res) => {
DEBUG
console.log(`Attempting to delete recipe with id: ${req.params.recipe_id}`);
Recipe.remove({
_id : req.params.recipe_id
}, (err, recipe) => {
if(err)
res.send(err);
else
console.log('Recipe successfully deleted!');
Recipe.find((err, recipes) => {
if(err)
res.send(err);
res.json(recipes);
});
});
});
};


{% extends 'base.html' %} {% block content %}
{{project.description}}
There are no projects available.
{{issue.description}}
There are no issues available.
There are no users.


STUDY COMPLETED
You have successfully completed the study.
Thank you for your time.
PATIENT {{fentoraCRF.currentPatientNumber +1}} COMPLETED
You have completed the CRF for patient {{fentoraCRF.currentPatientNumber +1}}.
You may choose to continue to the next patient's CRF or end the survey.


{{ define "head" }}
{{ end }} {{ define "main" }} {{ partial "mainmenu.html" . }}
If you like Julia, please consider starring
us on GitHub
and spreading the word!
Star
We provide several ways for you to run Julia:
Please see platform specific instructions for further installation instructions and if you have trouble installing Julia. If the provided download files do not work for you, please file an issue in the Julia project. Different OSes and architectures have varying tiers of support, and are listed at the bottom of this page.
Checksums for this release are available in both MD5 and SHA256 formats.
| Windows (.exe) [help] | 32-bit | 64-bit | ||||
|---|---|---|---|---|---|---|
| macOS 10.8+ (.dmg) [help] | 64-bit | |||||
| Generic Linux Binaries for x86 [help] | 32-bit (GPG) | 64-bit (GPG) | ||||
| Generic Linux Binaries for ARM [help] | 32-bit (ARMv7-a hard float) (GPG) | 64-bit (AArch64) (GPG) | ||||
| Generic FreeBSD Binaries for x86 [help] | 64-bit (GPG) | |||||
| Source | Tarball (GPG) | Tarball with dependencies (GPG) | GitHub |
Checksums for this release are available in both, MD5 and SHA256 formats.
| Windows (.exe) [help] | 32-bit | 64-bit | ||||
|---|---|---|---|---|---|---|
| macOS 10.8+ (.dmg) [help] | 64-bit | |||||
| Generic Linux Binaries for x86 [help] | 32-bit (GPG) | 64-bit (GPG) | ||||
| Generic Linux Binaries for ARM [help] | 32-bit (ARMv7-a hard float) (GPG) | 64-bit (AArch64) (GPG) | ||||
| Generic FreeBSD Binaries for x86 [help] | 64-bit (GPG) | |||||
| Source | Tarball (GPG) | Tarball with dependencies (GPG) | GitHub |
We're currently testing release candidates for Julia v1.4.0, an upcoming minor release in the 1.x series of releases. We encourage developers and interested users to try it out and report any issues they encounter. As a prerelease, it should not be considered production-ready; it's intended to give users a chance to try out 1.4 with their code before the full release.
Checksums for this release are available in both, MD5 and SHA256 formats.
| Windows Self-Extracting Archive (.exe) [help] | 32-bit | 64-bit | ||||
|---|---|---|---|---|---|---|
| macOS 10.8+ Package (.dmg) [help] | 64-bit | |||||
| Generic Linux Binaries for x86 [help] | 32-bit (GPG) | 64-bit (GPG) | ||||
| Generic Linux Binaries for ARM [help] | Coming soon | 64-bit (AArch64) (GPG) | ||||
| Generic FreeBSD Binaries for x86 [help] | 64-bit (GPG) | |||||
| Source | Tarball (GPG) | Tarball with dependencies (GPG) | GitHub |
Older releases of Julia for all platforms are available on the Older releases page. Only the LTS and Stable releases are maintained.
Nightly builds of the current unstable development version of Julia are available on the nightlies page. These are intended as developer previews into the latest work and are not intended for normal use. Most users are advised to use the current release version of Julia, above.
All Julia binary releases are cryptographically secured using the traditional methods on each platform. macOS and Windows releases are codesigned with certificates that are verified by the operating system during installation. Linux and source tarballs are signed with GPG using this key.
The platforms currently supported by Julia are listed below. They are divided into a tier system that ranks them based on level of support.
| Operating System | OS Version | Architecture | Support Tier |
|---|---|---|---|
| macOS | 10.8+ | x86-64 (64-bit) | Tier 1 |
| Windows | 7+ | x86-64 (64-bit) | Tier 1 |
| i686 (32-bit) | Tier 1 | ||
| Linux | 2.6.18+ | x86-64 (64-bit) | Tier 1 |
| i686 (32-bit) | Tier 1 | ||
| Nvidia PTX (64-bit) | Tier 1 (External) | ||
| ARMv7 (32-bit) | Tier 2 | ||
| ARMv8 (64-bit) | Tier 2 | ||
| x86-64 musl libc | Tier 3 | ||
| PowerPC (64-bit) | Tier 3 | ||
| FreeBSD | 11.0+ | x86-64 (64-bit) | Tier 1 |
| i686 (32-bit) | Tier 3 |


Welcome to PokéType! You can use this app to search for a Pokémon by name, id, or by using the dropdown Pokémon Explorer found below.For a given request, the app will display the Pokémon's type(s), name, abilities, and column lists of its various type data.A user may type in the Pokémon's name or id and selected the 'Go!' button to search.If you are having trouble finding a Pokémon by name, try using their id or hyphenating their gender to their name (ex: "nidoran" will not be found, but "nidoran-m" or "nidonran-f" will be.
Still can't figure it out? Try the Pokémon explorer! You may select a Pokémon with your mouse or by typing in its name.


Spread happiness. Create new opportunities for people that doesn’t have.
If I had to describe myself in one word. I put a 100% in every situation I am in.
My hobbies include working out, playing FIFA, Meditation (yes, just after playing FIFA), reading and learning new stuff.
I'm not that good at FIFA.


| This week we work on sewing. The first project is sewing on a hat. Stack paper and hat like in the picture. The two blue squares are strong magnets so it may hurt hand. | Then slide this into the machine and enter the words wanted to print on the hat. Make sure the size and font fit and adjust where the words should be. | Finished product. Tear off the semi-transparent paper and cut of the white paper on the other side. | The next project is sewing a pillow case. First, choose three fabrics. Cut the main one into 20 inches wide, the secondary one into 10 inches wide, and the last one into 5 inches wide. | Lay the three layers and pin their sides together. Make sure that the edges are aligned nicely. Then, sew the edge as you take out the pins. It was pretty hard for me to sew in a straight line as I often go sideways as I sew. Fold the case in half and do the same thing to the other side. This is called a Burrito Roll. | Take the inside of the roll to the outside, and the pillow case is now done. |
|---|


 Eckhart provides an incredibly compelling argument that the root of all unhappiness comes from the thoughts that we always repeat to ourselves in our mind. This is the only book I've ever read 3 times over.
 Eckhart provides an incredibly compelling argument that the root of all unhappiness comes from the thoughts that we always repeat to ourselves in our mind. This is the only book I've ever read 3 times over.
 Eckhart provides an incredibly compelling argument that the root of all unhappiness comes from the thoughts that we always repeat to ourselves in our mind. This is the only book I've ever read 3 times over.
Learn More


ACF supports the following templates while you are overriding the BannerTemplate and HelpBodyTemplate methods in your console application provider.
|
Template |
Description |
Remarks |
| <%app_asm_ver%> | The value of the AssemblyVersion property in the entry assembly attribute. | * |
| <%app_asm_title%> | The value of the AssemblyTitle property in the entry assembly attribute. | * |
| <%app_asm_desc%> | The value of the AssemblyDescription property in the entry assembly attribute. | * |
| <%app_asm_product%> | The value of the AssemblyProduct property in the entry assembly attribute. | * |
| <%app_asm_copyright%> | The value of the AssemblyCopyright property in the entry assembly attribute. | * |
| <%app_asm_company%> | The value of the AssemblyCompany property in the entry assembly attribute. | * |
| <%app_logo%> | The logo string of the console application. | This is the string returned by the Logo abstract property of ConsoleApplicationBase which must be overrided by the application provider. |
| <%app_desc%> | The description string of the console application | This is the string returned by the Description abstract property of ConsoleApplicationBase which must be overrided by the application provider. |
| <%app_syn_lines%> | The console application syntax lines that are generated automatically by ACF. |
For example, in catool application, it refers to the following lines in the help screen: catool.exe </method|/m:>
[/nologo] p1 p2 |
| <%app_syn_descs%> | The detailed syntax description for each syntax line and each argument in the syntax. |
For example, in catool application, it refers to the following lines in the help screen: > Performs arithmetic
calculation
[/nologo]: > Display the version
information |
* These templates refer to the assembly properties
set on the entry assembly (Commonly the .exe console application
assembly):


CHAPTER 516
RESIDENTIAL LEASEHOLDS
Part I. General Provisions
Section
516-1 Definitions
516-2 Applicability
516-3 No estoppel or waiver
516-4 Trusts and estates
516-5 Penalty
516-6 Administration of chapter
516-7 Corporation's duties, generally
516-8 Interested members, officers, or employees
516-9 Quitclaim deeds
Part II. Condemnation of Development Tract
516-21 Applicability
516-22 Designation of leased fee interest in all or part of
development tract for acquisition
516-23 Exercise of power of eminent domain
516-24 Compensation
516-24.5 Exchanges
516-25 Interest acquired
516-26 Interest in compensation paid by the corporation
516-27 Compulsory or involuntary conversion
516-28 Disposition, generally
516-29 Notice of disposition
516-30 Purchase of leased fee interest
516-31 Disposition by lease
516-32 Not for profit
516-33 Qualification for purchase
516-33.5 Deposits by lessees
516-34 Mortgages, agreements of sale, other instruments
516-35 Restrictions on sale and use of residential lots
516-35.1 Foreclosure and sale by mortgagees
516-36 to 39 Repealed
516-40 Bonds as legal investments
516-41 Exemption from taxation and assessments
516-42 Investment of reserves
516-43 Security for funds deposited
516-44 Repealed
516-45 General obligation bonds
516-51 Preliminary negotiation required
516-52 to 55 Repealed
516-56 Eminent domain trial
Part III. Rights of Lessees
516-61 Applicability
516-62 Discrimination
516-63 Free assignability
516-64 Forfeiture
516-65 Extension
516-66 Lease rental
516-67 Zoning changes
516-68 Rights to self-organization; remedies
516-69 Sale of fee by lessor
516-70 Reversion of improvements
516-71 Residential lease; disclosure
516-72 Civil penalty
516-73 Suggested form of standardized summary of lease
provisions
Part IV. Judicial Declaration
516-81 Repealed
516-82 Severability
516-83 Legislative findings and declaration of necessity;
purpose
Part V. Fee Title Acquisition Loan Program
516-91 Definitions
516-95 Rules; eligible loans
516-101 Revenue bonds; authorization
516-102 Revenue bonds; payment and security
516-103 Revenue bonds; interest rate, price, and sale
516-104 Revenue bonds; investment of proceeds and redemption
516-107 Trustee; designation, duties
516-108 Trust indenture
516-111 Revenue bonds; special funds
516-121 Acquisition loan programs; procedures and requirements
516-122 Acquisition loan programs; general powers
516-123 Acquisition loan programs; self supporting
516-124 Acquisition loan programs; fees
516-125 Acquisition loan programs; evidence of eligible loan
516-131 Loans to lenders program
516-132 Loan to lenders program; collateral security
516-141 Purchase of existing loans program
516-151 Advance commitments program
516-161 Eligible loan funding program
516-171 Loans; service and custody
516-172 Loans; sale, pledge, or assignment
516-173 Loans; insurance and guarantees
516-174 Loans; default
516-181 Interest acquired
516-182 Restrictions on sale and use of residential lots
acquired from proceeds of eligible loan
516-186 Construction
Part VI. Sustainable Affordable Developments
or Leases
516-201 Exemption for sustainable affordable developments
516-202 Certification
516-203 Recordkeeping
516-204 University of Hawaii at Manoa
Law Journals and Reviews
Extending Land Reform to Leasehold Condominiums in Hawaii. 14 UH L. Rev. 681.
The Constitutionality of a Naked Transfer: Mandatory Lease-to-Fee Conversion's Failure To Satisfy a Requisite Public Purpose in Hawaii Condominiums. 25 UH L. Rev. 561.
The Moon Court, Land Use, and Property: A Survey of Hawaii Case Law 1993-2010. 33 UH L. Rev. 635 (2011).
Case Notes
Chapter did not preempt ordinance relating to residential condominium leasehold conversion. 76 H. 46, 868 P.2d 1193.
Chapter only authorizes housing finance and development corporation to institute single condemnation proceeding of a specifically designated portion of a development tract and does not allow that proceeding to be judicially divided into multiple condemnations of individual lots. 82 H. 172, 921 P.2d 92.
Constitutionality.
Chapter did not violate "public use" requirement of Fifth Amendment to U.S. Constitution. 467 U.S. 229.
Hawaii Land Reform Act violates public use limitation of Fifth and Fourteenth Amendments of U.S. Constitution. 702 F.2d 788.
Given system of landholding in Hawaii, legislature could, under police power, conclude that general welfare was served by condemning land of large landholder-lessors and allow lessees to purchase land from State. 483 F. Supp. 63.
Legislature's determinations of what land is subject to condemnation and who is entitled to repurchase from State are not arbitrary or capricious. 483 F. Supp. 63.
Condemnation of leased fee interests in residential houselots continued to satisfy "public use" prerequisite of Fifth Amendment to U.S. Constitution and article I, §20 of Hawaii constitution. 79 H. 64, 898 P.2d 576.


climate Zika change Health health physicians {border-style px;} #ffffff;} Climate Organization, World Aedes American June spread mosquitoes patients px; {font-family font-size disease double; virus (Accessed Barrera Change Organization Pan Sarfaty birth border-color border-width change, change. global human likely medical risks solid; study {font-style {font-weight Accessed Maibach Roser-Renouf Zika, action aegypti bold courier; current dengue effects em; management mosquito policy pt;} role roles trusted warming weather


--- layout: default ---
I recently obtained my Ph.D. from the University of Hawaii in Molecular Biosciences and Bioengineering University, focusing on Bioinformatics applications to cancer research.
Now I am working as a Computational Biologist at Adaptive Biotechnologies. We are working on next-generation sequencing-based assays that will help solve cancer!


Web
Memcache
MySQL
Membase user-a
CPU
Memory
RPS
DF Cache Used
Ops Sets
Ops Gets
N/W PKTS Received
CPU
MD0 Disk Ops Read
MD0 Disk Ops Write
Ops Sets
Ops Gets
N/W PKTS Received
N/W PKTS Transfered
Split Charts
Overall
DoD & WoW
Show Table


{% include 'include/components/note.html' with { content: 'Hello', class: 'note--variant' } %} --- {} ---


×
Your best match has been found!
×
Please provide responses to all the questions!
Survey Questionnaire
About You
Name (Required)
Link to Photo Image (Required)
Submit


calcDeltaCN sourceList
Signature: sourceList:SearchEngineResult<float<MeasureOne>> list -> SearchEngineResult<float<MeasureOne>> list
|
Calculates sequest-like deltaCN score
(Xcorr(top hit) - Xcorr(n)) ÷ Xcorr(top hit). Thus, the deltaCn for the top hit is
(Xcorr(top hit) - Xcorr(top hit)) ÷ Xcorr(top hit) = 0.
|
calcSequestLikeScoresRevDecoy (...)
Signature: calcIonSeries:((Formula -> float) -> AminoAcid list -> PeakFamily<TaggedMass> list) -> massfunction:(Formula -> float) -> (float * float) -> spectrum:PeakArray<'?7369> -> chargeState:int -> isolationWindowTargetMz:float -> possiblePeptideInfos:LookUpResult<AminoAcid> list -> spectrumID:string -> SearchEngineResult<float<MeasureOne>> list
Type parameters: '?7369
|
|
calcSequestScore (...)
Signature: (float * float) -> spectrum:PeakArray<'?7372> -> chargeState:int -> isolationWindowTargetMz:float -> theoreticalSpectra:TheoreticalSpectrum<Vector<float>> list -> spectrumID:string -> SearchEngineResult<float<MeasureOne>> list
Type parameters: '?7372
|
|
calcSequestScoreParallel (...)
Signature: (float * float) -> spectrum:PeakArray<'?7374> -> chargeState:int -> isolationWindowTargetMz:float -> theoreticalSpectra:TheoreticalSpectrum<Vector<float>> list -> spectrumID:string -> SearchEngineResult<float<MeasureOne>> list
Type parameters: '?7374
|
|
createShiftedMatrix (...)
Signature: plusMinusMaxDelay:int -> array:float [] -> float<MeasureOne> [,]
|
|
getTheoSpecs (...)
Signature: (float * float) -> chargeState:int -> possiblePeptideInfos:(LookUpResult<AminoAcid> * FragmentMasses) list -> TheoreticalSpectrum<Vector<float<MeasureOne>>> list
|
|
peaksToNormalizedIntensityArray (...)
Signature: (lowerScanLimit:float * upperScanLimit:float) -> charge:float -> ionSeries:PeakFamily<TaggedMass> list -> Vector<float<MeasureOne>>
|
Amino acid sequence (peptide) to sequest-like predicted intensity array
|
predictIntensitySimpleModel (...)
Signature: ionType:IonTypeFlag -> charge:float -> float<MeasureOne>
|
|
predictOf maxcharge fragments
Signature: maxcharge:float -> fragments:PeakFamily<TaggedMass> list -> Peak []
|
|
shiftedVectorSum (...)
Signature: plusMinusMaxDelay:int -> vector:DenseVector -> Vector<float<MeasureOne>>
|
|
spectrumToIntensityArrayMinusAutoCorrelation (...)
Signature: (lowerScanLimit:float * upperScanLimit:float) -> spectrum:PeakArray<'?7366> -> Vector<float>
Type parameters: '?7366
|
Measured spectrum to sequest-like normalized intensity array
minus auto-correlation (delay 75 -> like in original sequest algorithm)
! Uses 10 as number of windows for window normalization (like in original sequest algorithm)
|
windowNormalizeIntensities (...)
Signature: intensities:Vector<float> -> numberOfWindows:int -> DenseVector
|
normalize the intensities within a window to maximum of the window
Attention shortens the array (cuts)
|


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Jusitn Bieber is Showing Off His New Pink Hair!
Justin Bieber has made a big change to his hair!
The 25-year-old singer was spotted out with his newly dyed pink hair on Sunday (November 24) in Beverly Hills, Calif.
PHOTOS: Check out the latest pics of Justin Bieber
Justin was spotted going shirtless after wrapping a game of basketball with a few of his friends.


Blogpost1| My planning
| date | wk | task | status |
|---|---|---|---|
| February | |||
| 02.12/02.18 | w1 | Complete adversarial images + eyetracking experiment code | ✓ |
| 02.18/02.25 | w2 | Set up experiment with the lab | ✓ |
| 02.25/03.04 | w3 | Collect data from subjects (15p) | ✓ |
| March | |||
| 03.04/03.11 | w4 | Collect data from subjects (15p) + Data Analysis | ✓ |
| 03.11/03.18 | w5 | Collect Data Analysis | ✓ |
| 03.18/03.25 | w6 | Write Internship Report | ✓ |
| 03.25/04.01 | w7 | Write Internship Report | ✓ |
| April | |||
| 04.01/04.08 | w8 | Write Internship Report | ✓ |
| 04.08/04.15 | w9 | Write Internship Report | ✓ |
| 04.15/04.22 | w10 | Hand in Internship Report (v1) | ✓ |
| 04.22/04.29 | w11 | Literature Review: Deep Learning in Neuroscience | ✓ |
| May | |||
| 04.29/05.06 | w12 | Literature Review: Deep Learning in Neuroscience | ✓ |
| 05.06/05.13 | w13 | Literature Review: Deep Learning in Neuroscience + hand in v1 | ✓ |
| 05.13/05.20 | w14 | Literature Review: Phosphenes | ✓ |
| 05.20/05.27 | w15 | Literature Review: Phosphenes + hand in v1 | ✓ |
| June | |||
| 05.29/06.03 | w16 | Work on v2 of everything | ✓ |
| 06.03/06.10 | w17 | Work on v2 of everything | ✓ |
| 06.10/06.17 | w18 | Hand in everything | ✓ |
| 06.17/07.24 | w19 | Vacation (hopefully) | ✓ |
| 07.24/07.01 | w20 | Vacation (hopefully) | ✓ |
*Update: I finished everything on time and got a 9 for my final thesis :)


THE STENDHAL SYNDROME (1996)
A film review by Mike Watson Copyright 1998 Mike Watson
Rating: 4 out of 5
Stendhal's Syndrome: a condition where, in the presence of art, a person becomes engulfed in a painting and hallucinates and may afterwards suffer symptoms such as depression, suicidal behaviour and personality disorder.
Grim stuff, to be sure, but the subject of a remarkable film from Italy's master of the horror thriller Dario Argento.
Boasting an unforgettable soundtrack from the grandfather of film music Ennio Morricone, THE STENDHAL SYNDROME is a quite magnificent return to form for Argento. It follows his disappointing American debut TRAUMA (1992), the patchy OPERA (1987) and several mediocre films he produced for young Italian director Michele Soavi in the late 1980's.
Based on the novel by Graziella Magherini, the film stars Argento's daughter Asia as young Roman police inspector Anna Manni in pursuit of a brutal rapist-killer. Visiting Florence to follow up several leads, she is lured by the killer Alfredo (Thomas Kretschmann) to an art gallery, a favourite haunt where he hopes to identify exactly who is on his tail. At the gallery Anna is overwhelmed by a painting and faints. Posing as a bystander, Alfredo briefly comes to her aid and having now identified his pursuer, a strange game of cat and mouse begins.
A gripping story evolves, and a coherent one, too, which may surprise those familiar with Argento's often lumpy narratives. THE STENDHAL SYNDROME is not a simple cop-hunting-killer scenario. It is a disturbing and often compelling study of the central character's psychological disintegration. The script explores its psycho-sexual themes with intelligence and candour, perhaps too much so for more sensitive viewers. But as dark as its themes are, THE STENDHAL SYNDROME emerges as one of the most artful and effective European thrillers of the last ten years.
Argento is once again working in his native Italy, and he fully exploits the opportunities to use art and architecture for both symbolic statements and as departure points for several brilliant hallucinogenic sequences. Effects whiz Sergio Stivaletti serves his director well here, and the cinematography by Giuseppe Rotunno is consistently excellent. The film's opening 20 minutes segues between hallucination, flashback and real-time with tremendous style. Proof that, at his most inspired, Argento remains one of the world's most exhilarating filmmakers.
The cast is generally good, though marred at times by dubbing into English that renders speech all but emotionless. Asia Argento's performance is by turns risky, awkward and fascinating. It's a difficult role, and given her relative inexperience on screen she deserves applause for her efforts. Thomas Kretschmann is chillingly effective as Alfredo, and Marco Leonardi (of CINEMA PARADISO, and possibly the most gorgeous looking man in Italy) does okay as Anna's work colleague and increasingly confused love interest.
But perhaps THE STENDHAL SYNDROME'S single most striking element is Ennio Morricone's soundtrack. Active since the 1960's, Morricone has scored over 100 films in his career and this must rate as one of his finest efforts. It's mostly a variation on the one theme: a slow circular melody for strings and wordless female vocal possessed with an extraordinary, haunting beauty that lingers long afterwards. It's been three decades since Argento and Morricone worked together. This is a long welcome reunion.
If the film has a fault, it is that the last half hour drags a little and the film doesn't quite reach a completely satisfying climax. But by the closing scenes, THE STENDHAL SYNDROME has already offered us enough to qualify as one of the very best films of Dario Argento's career.
*NOTE: See the uncut print from Japanese laserdisc if you can. Dubs of this version are available from various video dealers on the World Wide Web.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


TensorFlow r1.0 on TX1 (now successful)
Contents
TensorFlow r1.0已经发布了不少时间，事实证明1.0版本在内存使用上改善了不少，以前一些在r0.11上内存满报错的程序在r1.0上能够正常运行了。同时，r1.0相较于r0.11在API上做了很大的改动，也有很多新的东西（比如Keras）将要集成进TF。
总而言之，r1.0是未来的方向，所以说我希望将原先在TX1上装的r0.11换成r1.0。不过网上最新的教程还是只有r0.11的。rwightman这位仁兄编译成功了r1.0alpha版本，并且放出了whl文件，不过没有编译正式版。本文将阐述如何在TX1上安装TensorFlow r1.0的正式版本，不过目前由于。nvcc
的一个bug，还没有编译成功
Update: 做了一些非常ugly的改动之后编译成功了。
Environment
Thsi article aims to install TensorFlow r1.0 on NVIDIA Jetson TX1 with JetPack 2.3.1:
- Ubuntu 16.04 (aarch64)
- CUDA 8.0
- cuDNN 5.1.5 or 5.1.10
Note that I still CAN’T build TensorFlow r1.0 yet. The reason is explained at the end of this post.
Preparation
Before installation, you need to add swap space for TX1 since this device only has 4G memory and 16GB eMMC Storage. I use an external HDD via USB. Maybe you could use SSD for higher speed.
Thanks to jetsonhacks, we can simply deal this with a script:
|
|
8G swap is enough for compilation, and ensure you have >5.5GB free space on TX1.
Install Deps
Thanks to jetsonhacks, we can deal with deps more convinently. I forked this repo and modify something to fit TF r1.0. You can just clone mine.
|
|
If you meet an error that bazel can’t find
cudnn.h
in/usr/lib/aarch64-linux-gnu/
, just download cuDNN from NVIDIA Developers website and place it into that path.Or you can just edit
setTensorFlowEV.sh
and replacedefault_cudnn_path=/usr/lib/aarch64-linux-gnu/
withdefault_cudnn_path=/usr/
since the defaultcudnn.h
is in/usr/include/
.
Build TensorFlow
|
|
Then you’ll find your wheel file in your home folder.
Install and Test
|
|
Problems
Until now, I still can’t build tensorflow successfully. An error occured:
|
|
According to this post, this may due to a bug of nvcc
. An expert in NVIDIA says they solved it with their internal nvcc compiler, which is not yet available in JetPack. Maybe next release of JetPack (3.0 on March 14) will solve it. So I’ll update this post then.
An ugly hack
Thanks to rwightman’s hack, I finally compiled TF1.0 successfully. Just following hacks:
- Revert Eigen to revision used in Tensorflow r0.11 to avoid cuda compile error
- Remove expm1 op that was added with new additions to Eigen
My fork for installTensorFlowTX1
has contained this hack. And my build for TensorFlow r1.0 with Python 2.7 can be find here.
Update: @barty777 build TF 1.0.1 with Python 3.5, and his wheel file can be found here.
Acknowledgment
Thanks for following posts and issues:
- Github issue: tensorflow for Nvidia TX1
- NVIDIA forum post: TensorFlow on Jetson TX1
- My earilier blog post: Installation of TensorFlow r0.11 on TX1


|
blmc_drivers
|
Public Member Functions | |
| SpiMotorBoard (std::shared_ptr< SpiBus > spi_bus, const size_t udriver_id) | |
| Construct a new SpiMotorBoard object. More... | |
| ~SpiMotorBoard () | |
| Destroy the SpiMotorBoard object. More... | |
| virtual std::shared_ptr< const MotorInterface::ScalarTimeseries > | get_measurement (const int &index) const |
| Output and status. More... | |
| virtual std::shared_ptr< const MotorBoardInterface::StatusTimeseries > | get_status () const |
| Get the status of the motor board. More... | |
| virtual std::shared_ptr< const MotorInterface::ScalarTimeseries > | get_control (const int &index) const |
| input logs More... | |
| virtual std::shared_ptr< const MotorBoardInterface::CommandTimeseries > | get_command () const |
| Get the commands to be send. More... | |
| virtual std::shared_ptr< const MotorInterface::ScalarTimeseries > | get_sent_control (const int &index) const |
| Get the sent controls. More... | |
| virtual std::shared_ptr< const MotorBoardInterface::CommandTimeseries > | get_sent_command () const |
| Get the sent commands. More... | |
| virtual void | set_control (const double &control, const int &index) |
| Setters. More... | |
| virtual void | set_command (const MotorBoardCommand &command) |
| set_command save the command internally. More... | |
| virtual void | send_if_input_changed () |
| Actually send the commands and the controls. More... | |
| bool | is_ready () |
| return s only once board and motors are ready. | |
| Public Member Functions inherited from blmc_drivers::MotorBoardInterface | |
| virtual | ~MotorBoardInterface () |
| Destroy the MotorBoardInterface object. | |
Private Attributes | |
| std::shared_ptr< SpiBus > | spi_bus_ |
| Communication related attributes. More... | |
| size_t | udriver_id_ |
| udriver_id_ is the index of the udriver controlled by the master board. More... | |
Additional Inherited Members | |
| Public Types inherited from blmc_drivers::MotorBoardInterface | |
| enum | MeasurementIndex { current_0, current_1, position_0, position_1, velocity_0, velocity_1, analog_0, analog_1, encoder_index_0, encoder_index_1, measurement_count } |
| This is the list of the measurement we can access. | |
| enum | ControlIndex { current_target_0, current_target_1, control_count } |
| This is the list of the controls we can send. | |
| typedef real_time_tools::ThreadsafeTimeseries< double > | ScalarTimeseries |
| A useful shortcut. | |
| typedef ScalarTimeseries::Index | Index |
| A useful shortcut. | |
| typedef real_time_tools::ThreadsafeTimeseries< Index > | IndexTimeseries |
| A useful shortcut. | |
| typedef real_time_tools::ThreadsafeTimeseries< MotorBoardStatus > | StatusTimeseries |
| A useful shortcut. | |
| typedef real_time_tools::ThreadsafeTimeseries< MotorBoardCommand > | CommandTimeseries |
| A useful shortcut. | |
| template<typename Type > | |
| using | Ptr = std::shared_ptr< Type > |
| A useful shortcut. | |
| template<typename Type > | |
| using | Vector = std::vector< Type > |
| A useful shortcut. | |
| blmc_drivers::SpiMotorBoard::SpiMotorBoard | ( | std::shared_ptr< SpiBus > | spi_bus, |
| const size_t | udriver_id | ||
| ) |
Construct a new SpiMotorBoard object.
The constructor starts a real time thread: SpiMotorBoard::loop(). This thread streams the data back and forth collecting the sensor data and sends the control/commands.
| spi_bus | is the object that communicate with the master board which in turn communicate with the motor boards. The master board provides the hardware informations and sends the commands. |
| udriver_id | is the id of the udriver this class represents. |
| blmc_drivers::SpiMotorBoard::~SpiMotorBoard | ( | ) |
Destroy the SpiMotorBoard object.
The destructor handles the proper shutdown of the class and the threads.
|
virtual |
Get the commands to be send.
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
input logs
input logs Get the controls to be send.
| index | define the kind of control we are looking for. |
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Output and status.
Getters. Get the measurements
| index | is the kind of measurement we are looking for. |
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Get the sent commands.
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Get the sent controls.
| index | define the kind of control we are looking for. |
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Get the status of the motor board.
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Actually send the commands and the controls.
Inherited from MotorBoardInterface. This particualr instance does not actually check if it is is a new command or control as the full status of the robot is exchange at every tick.
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
set_command save the command internally.
In order to actaully send the controls to the network please call "send_if_input_changed"
| command | is the command to be sent. Inherited from MotorBoardInterface |
Implements blmc_drivers::MotorBoardInterface.
|
virtual |
Setters.
Setters. set_control save the control internally. In order to actaully send the controls to the network please call "send_if_input_changed"
| control | is the value of the control. |
| index | define the kind of control we want to send. Inherited from MotorBoardInterface |
Implements blmc_drivers::MotorBoardInterface.
|
private |
Communication related attributes.
Master board interface sdk: https://github.com/open-dynamic-robot-initiative/master-board
|
private |
udriver_id_ is the index of the udriver controlled by the master board.
The index is the one used in MasterBoardInterface. The index should correspond to the hardware SPI index onboard the card.


Sends a query to a data source using an existing connection. If this function is not available, you must install the Microsoft ODBC add-in (XLODBC.XLA).
Syntax
SQL.EXEC.QUERY(connection_num, query_text)
Connection_num is the unique connection ID of the data source you want to query.
Connection_num is returned by a previously executed SQL.OPEN function.
If connection_num is not valid, SQL.EXEC.QUERY returns the #VALUE! error value.
Query_text is the SQL language query that is to be executed on the data source. The query must follow the SQL syntax guidelines in the Appendix of the Microsoft Excel ODBC Developers Guide.
If SQL.EXEC.QUERY is unable to execute query_text on the specified data source, SQL.EXEC.QUERY returns the #N/A error value.
Excel limits strings to a length of 255 characters. If query_text needs to be longer than 255 characters then query_text should be a vertical array or vertical range of cells. The values in the array will be joined together to form the complete SQL query.
Remarks
Before calling SQL.EXEC.QUERY a connection must be established with a data source using SQL.OPEN. A successful call to SQL.OPEN returns a unique connection ID number. SQL.EXEC.QUERY uses that connection ID number to send SQL language queries to the data source.
Any results generated from the query will not be returned immediately-- SQL.EXEC.QUERY only executes the query. Retrieving results is handled by the functions SQL.RETRIEVE and SQL.RETRIEVE.TO.FILE.
If SQL.EXEC.QUERY is called using a previously used connection ID number, all pending results on that connection will automatically be discarded. The connection ID will then refer to the new query and its results.
If SQL.EXEC.QUERY is unable to successfully execute the query on the specified data source then an error value will be returned. In such a case SQL.EXEC.QUERY will place error information in memory for the SQL.ERROR function, if such information is available. If SQL.EXEC.QUERY is able to successfully execute the query on the specified connection it will return one of three values depending on the type of SQL statement that was executed.
If it was a SELECT statement then SQL.EXEC.QUERY will return the number of result columns available.
If it was an UPDATE, INSERT, or DELETE statement then SQL.EXEC.QUERY will return the number of rows affected by the statement.
If it was a legal SQL query that is not in one of the categories above, SQL.EXEC.QUERY will return 0 (zero).
Example
SQL.EXEC.QUERY(conn1, "SELECT Custmr_ID, Due_Date FROM Orders WHERE Order_Amt > 100") executes a SQL query from a SQL table named "Orders"
Related Functions
SQL.OPEN Establishes a connection with a data source
SQL.BIND Specifies storage for a result column
SQL.RETRIEVE.TO.FILE Retrieves query results and places them in a file
SQL.RETRIEVE Retrieves query results
SQL.GET.SCHEMA Gets information about a connected data source.
SQL.CLOSE Closes a data source connection
SQL.ERROR Returns detailed error information
Return to index


19
1 It came about that when King Hezekiah heard their report, he tore his clothes, covered himself with sackcloth, and went into the house of Yahweh.
2 He sent Eliakim, who was over the household, and Shebna the scribe, and the elders of the priests, all covered with sackcloth, to Isaiah the prophet the son of Amoz.
3 They said to him, "Hezekiah says, 'This day is a day of distress, rebuke, and disgrace, for the children have come to the time of birth, but there is no strength for them to be born.
4 It may be that Yahweh your God will hear all the words of the chief commander, whom the king of Assyria his master has sent to defy the living God, and will rebuke the words which Yahweh your God has heard. Now lift up your prayer for the remnant that is still here.'"
5 So the servants of King Hezekiah came to Isaiah,
6 and Isaiah said to them, "Say to your master: 'Yahweh says, "Do not be afraid of the words that you have heard, with which the servants of the king of Assyria have insulted me.
7 Look, I will put a spirit in him, and he will hear a certain report and go back to his own land. I will cause him to fall by the sword in his own land."'"
8 Then the chief commander returned and found the king of Assyria fighting against Libnah, for he had heard that the king had gone away from Lachish.
9 Then Sennacherib heard that Tirhakah king of Ethiopia and Egypt had mobilized to fight against him, so he sent messengers again to Hezekiah with a message:
10 "Say to Hezekiah king of Judah, 'Do not let your God in whom you trust deceive you, saying, "Jerusalem will not be given over into the hand of the king of Assyria."
11 See, you have heard what the kings of Assyria have done to all lands by destroying them completely. So will you be rescued?
12 Have the gods of the nations rescued them, the nations that my fathers destroyed: Gozan, Haran, Rezeph, and the people of Eden in Telassar?
13 Where are the king of Hamath, the king of Arpad, the king of the cities of Sepharvaim, of Hena, and Ivvah?'"
14 Hezekiah received this letter from the messengers and read it. Then he went up to the house of Yahweh and spread it before him.
15 Then Hezekiah prayed before Yahweh and said, "Yahweh of hosts, God of Israel, you who sit above the cherubim, you are God alone over all the kingdoms of the earth.  Open your eyes, Yahweh, and see, and hear the words of Sennacherib, which he has sent to mock the living God.
17 Truly, Yahweh, the kings of Assyria have destroyed the nations and their lands.
18 They have put their gods into the fire, for they were not gods but the work of men's hands, just wood and stone.
20 Then Isaiah the son of Amoz sent a message to Hezekiah, saying, "Yahweh the God of Israel says, 'Because you have prayed to me concerning Sennacherib king of Assyria, I have heard you.
21 This is the word that Yahweh has spoken about him:
"The virgin daughter of Zion
despises you and laughs you to scorn.
The daughter of Jerusalem
shakes her head at you.
22 Whom have you defied and insulted?
And against whom have you exalted your voice
and lifted up your eyes in pride?
Against the Holy One of Israel!
23 By your messengers
you have defied the Lord,
and have said,
'With the multitude of my chariots
I have gone up to the heights of the mountains,
to the highest elevations of Lebanon.
I will cut down the tall cedars
and choice fir trees there.
and I will enter into its farthest parts,
its most fruitful forest.
24 I have dug wells
and have drunk foreign waters.
I dried up all the rivers of Egypt
under the soles of my feet.'
25 Have you not heard how I
determined it long ago,
and worked it out in ancient times?
Now I am bringing it to pass.
You are here to reduce impregnable cities
into heaps of ruins.
26 Their inhabitants, of little strength,
are shattered and ashamed.

29 This will be the sign for you:
This year you will eat what grows wild,
and in the second year what grows from that.
But in the third year you must plant and harvest,
plant vineyards and eat their fruit.
30 The remnant of the house of Judah that survives
will again take root and bear fruit.
31 For from Jerusalem a remnant will come out,
from Mount Zion survivors will come.
The zeal of Yahweh of hosts will do this.32 Therefore Yahweh says this about the king of Assyria:
"He will not come into this city
nor shoot an arrow here.
Neither will he come before it with shield
or build up a siege ramp against it.
33 The way by which he came
will be the same way he will leave;
he will not enter this city.
This is the declaration of Yahweh."
34 For I will defend this city and rescue it,
for my own sake and for my servant David's sake.'"
35 It came about that night that the angel of Yahweh went out and attacked the camp of the Assyrians, putting to death 185,000 soldiers. When the men arose early in the morning, dead bodies lay everywhere.
36 So Sennacherib king of Assyria left Israel and went home and stayed in Nineveh.
37 Later, as he was worshiping in the house of Nisroch his god, his sons Adrammelech and Sharezer killed him with the sword. Then they escaped into the land of Ararat. Then Esarhaddon his son became king in his place.


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block home_link %} ../../task-list {% endblock %} {% block proposition_header %} {% set my_account="4" %} {% include "includes/propositional_navigation.html" %} {% endblock %} {% import 'prototypes/prototype-dec-2019/includes/address.html' as address %} {% block content %} {% include "includes/phase_banner_beta.html" %} Where the claim was sent The claim was sent on 6 Dec 2018 to: 24 Acacia Drive London SW1 H9A Was this your address on 6 Dec 2018? Yes No, I've moved All correspondence will be sent to this address. This is known as an 'address for service'. {% if data['addressType'] == 'diff' %} Address line 1 Address line 2 (optional) Town or city Postcode {% else %} {{ address.lookup('service') }} {% endif %} {% include 'prototypes/prototype-dec-2019/includes/contact.html' %} {% endblock %}
The claim was sent on 6 Dec 2018 to:
All correspondence will be sent to this address. This is known as an 'address for service'.


Diagrams and text courtesy of DataSift
Diagrams and text courtesy of DataSift
A master branch is created
A develop branch is created from master
New development (new features, non-emergency bug fixes) are built in feature branches:
Feature branches are branched off of the develop branch, and finished features and fixes are merged back into the develop branch when they’re ready for release:
When it is time to make a release, a release branch is created off of develop:
The code in the release branch is deployed onto a suitable test environment, tested, and any problems are fixed directly in the release branch. This deploy -> test -> fix -> redeploy -> retest cycle continues until you’re happy that the release is good enough to release to customers.
When the release is finished, the release branch is merged into master and into develop too, to make sure that any changes made in the release branch aren’t accidentally lost by new development.
The master branch tracks released code only. The only commits to master are merges from release branches and hotfix branches.
Hotfix branches are used to create emergency fixes:
They are branched directly from a tagged release in the master branch, and when finished are merged back into both master and develop to make sure that the hotfix isn’t accidentally lost when the next regular release occurs.


By using my services or my applications you are agreeing to be bound by the following terms and conditions ("Terms of Use").
You are responsible for any activity that occurs in your copy of my application.
You are responsible for keeping your password secure.
You may not use the my services or applications for any illegal or unauthorized purpose. International users agree to comply with all local laws regarding online conduct and acceptable content.
You must not modify, adapt or hack my apps or modify another website or application so as to falsely imply that it is associated with my applications.
You must not, in the use of my applications, violate any laws in your jurisdiction (including but not limited to copyright laws).
I use the information collected through my services and applications for the purposes described below:
I reserve the right to modify or terminate my services or applications for any reason, without notice at any time.
I reserve the right to alter these Terms of Use at any time. If the alterations constitute a material change to the Terms of Use, I will notify you via internet mail according to the preference expressed on your account. What constitutes a "material change" will be determined at my sole discretion, in good faith and using common sense and reasonable judgement.
I reserve the right to refuse service or access to my applications to anyone for any reason at any time.


About
My name is Eric Connelly. I am a python and javascript developer, living
and working in New York. I love solving problems and learning
about how brains think.
I like coffee, beer, baseball and cartoons.


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Interactions:
how many times the recursive function was called
0x
Delay between recursive calls:
250ms
Numbers Missing:
quantity of empty cells
0x


samples SARS-CoV- RT-qPCR clinical VTM viral PCR sample extraction RNA RSV directly using mix plasmid reaction spiked containing View detection material reference specimens template unprocessed used Influenza Maxwell Promega copies master positive probe specimen step tubes Fig. InfA, [[#xBC]]L assay concentration control extracted load mixed particles preparation AccuPlex OpenUrl did diluted influenza low primers steps target test CrossRef Download InfA InfB, Table acid added buffer detected device final high higher nucleic purchased reaction. reactions tagged tested virus μL) (Cat. (for CDC COVID- FAM InfB No. SeraCare concentrations mimic patient performed probes samples. sprayed sprayed, step. targeting untreated values μL),


{% extends "base.html" %} {# 401 Unauthorized - the user must sign in to see this #} {% block title %}Unauthorized{% endblock %} {% block content %}
Only authorized users can access this content, please sign in or register to continue.
{% endblock %}


0. Where do I start?
1. Setting Up
2. Loading and Saving
3. Adding patterns to the music area
4. Editing patterns
5. Creating a morph
5. Editing morph algorithms
6. Adding MIDI controller input
7.Live transformation
8. Pattern Editor - Advanced
9. Morph Editor - Advanced


Details
The DTA DAO does not support any configuration options. DTA files only contain spectra information and no identification data.
The DTA DAO can process two types of inputs: either concatenated DTA files where spectra a separated by an empty line or directories that contain DTA files with one single spectrum each. Directories of concatenated DTA files cannot be added at once but the various DTA files must be added separately.


{% extends "MainApp/base.html" %} {% comment %} * REFERENCES * Title: Get Started with Bootstrap * Author: Bootstrap * Date Published: N/A Continuous updates * Date Accessed: October 4, 2020 * Code version: v4.5.3 * URL: https://getbootstrap.com/ * Software License: Code licensed MIT, docs CC BY 3.0. * REFERENCES * Title: Get Started with Django * Author: Django * Date Published: N/A Continuous updates * Date Accessed: September 13, 2020 * Code version: v3.1.3 * URL: https://www.djangoproject.com/ * Software License: BSD-3 {% endcomment %} {% load static %} {% block content %}
{{event.event_description}}
Capacity: {{event.event_capacity}} {% empty %}{{event.event_description}}
Capacity: {{event.event_capacity}} {% empty %}


vignettes/Overview.Rmd
Overview.Rmd
Understanding how climate variability influences ecological processes is a key approach to provide recommendations for climate adaptation and biodiversity conservation. climatrends provides methods to compute precipitation and temperature indices that serves as input for crop modelling, ecological modelling and trends in climate change. The climate variables available in climatrends were previously used to identify climate patterns in crop growing cycles1, regional climate change assessment2–5, crowdsourcing citizen science in agriculture6 and trends in climate change compared with farmers’ perceptions7.
Reproducibility, the ability to repeat the analysis, and
Replicability, the ability to repeat an experiment are key to perform
collaborative scientific research. This is still a gap in most of the
studies in agriculture and ecology. climatrends
addresses
this specific issue. The package originates from a set of scripts to
compute climate indices in our previous studies. Building up on the
interest in expanding the analysis to other regions and to enable
reproducible and replicable studies we developed
climatrends
. Most of the package functions take into
account the heterogeneity of testing sites (locations), dates and
seasons, a common characteristic of decentralized agricultural trials.
Further development was made to enable time series analysis with fixed
periods of time and locations. The package climatrends
computes temperature, precipitation, crop growing and crop stress
indices that were validated by previous studies on climatology and crop
science. Currently climatrends
is part of the CRAN Task
View in Agriculture (https://cran.r-project.org/web/views/Agriculture.html).
By default, the functions in climatrends requires a
vector with climate data, and optionally a vector of dates that can be
linked to the data for time series analysis. The package also provides
methods for objects of classes array
(or
matrix
), sf
and data.frame
, where
the last two are designed to be used to request remote data from
R
packages that uses API clients, such as nasapower8. This vignette presents the main
functions and the methods available in climatrends.
Overall, these applications can be generalized to all functions.
Here we compute temperature indices for the first semester of 2019 in the Innlandet county in Norway:
library("climatrends")
data("innlandet", package = "climatrends")
temp1 <- temperature(innlandet$tmax, innlandet$tmin)
temp1
## maxDT minDT maxNT minNT DTR SU TR CFD WSDI CSDI T10p T90p
## <dbl> <dbl> <dbl> <dbl> <int> <int> <int> <int> <int> <int> <dbl> <dbl>
## 1: 15.13 -14.86 6.77 -19.25 6 0 0 115 4 5 -15.81 9.09
With the argument timeseries = TRUE
, temperature()
returns the indices for a time series based on intervals
.
Here we compute the indices for intervals of 30 days:
temp2 <- temperature(innlandet$tmax, innlandet$tmin,
dates = innlandet$dates,
timeseries = TRUE,
intervals = 30)
temp2
## id date index value
## <int> <date> <chr> <dbl>
## 1: 1 2019-01-01 maxDT -0.15
## 2: 1 2019-01-01 minDT -14.86
## 3: 1 2019-01-01 maxNT -3.41
## 4: 1 2019-01-01 minNT -18.67
## 5: 1 2019-01-01 DTR 4.35
## ---
## 68: 1 2019-05-31 CFD 3.00
## 69: 1 2019-05-31 WSDI 2.00
## 70: 1 2019-05-31 CSDI 3.00
## 71: 1 2019-05-31 T10p 0.20
## 72: 1 2019-05-31 T90p 11.14
Growing degree-days is a heuristic tool in phenology, it is a measure
of heat accumulation used to predict plant and animal development
rates9. With the function
GDD()
we can compute the growing degree-days over a time
series. In this case we apply an adjusted equation designed for cold
areas with the argument equation
:
gdd <- GDD(innlandet$tmax, innlandet$tmin, tbase = 2, equation = "b")
gdd
## gdd
## <dbl>
## 1: 0.00
## 2: 0.00
## 3: 0.00
## 4: 0.00
## 5: 0.00
## ---
## 178: 143.04
## 179: 147.38
## 180: 153.89
## 181: 162.18
## 182: 164.89
Additionally, the function may return the daily values of degree-days
or the number of days that a given organism required to reach a certain
number of accumulated degree-days. These values are defined by ‘daily’
or ‘ndays’ and can be adjusted using the argument
return.as
. The required accumulated gdd is defined with
argument degree.days
. For example, the Korean pine
(Pinus koraiensis) requires 105 \(^\circ C\) accumulated gdd to onset of
photosynthesis10. In that case,
the function will calculate the growing degree-days and sum up the
values until it reaches the defined gdd (105 \(^\circ C\)) and return the number of days
needed in the given season, as follows.
lonlat <- data.frame(lon = 129.19,
lat = 36.39)
GDD(lonlat,
day.one = "2019-04-01",
last.day = "2019-10-01",
degree.days = 150,
return.as = "ndays")
This means that 45 days were required to reach 150 degree-days from April 2019.
Late frost is a freezing event occurring after a substantial
accumulation of warmth. These events can be tracked using the function
late_frost()
. The function returns a data.frame with the
duration and gdd accumulated during the events
of frost,
latency (where there is no frost event, but also there is no GDD), and
warming (where GDD is accumulated).
lf <- late_frost(innlandet$tmax,
innlandet$tmin,
dates = innlandet$date,
base = 2)
lf
## date gdd event duration
## <date> <dbl> <fct> <int>
## 1: 2019-01-01 0.00 frost 108
## 2: 2019-04-19 0.00 latent 1
## 3: 2019-04-20 0.00 frost 1
## 4: 2019-04-21 0.00 latent 2
## 5: 2019-04-23 0.00 frost 2
## 6: 2019-04-25 0.98 warming 6
## 7: 2019-05-01 0.00 frost 14
## 8: 2019-05-15 19.14 warming 11
## 9: 2019-05-26 0.00 frost 6
## 10: 2019-06-01 82.48 warming 31
Precipitation indices are computed in the same way as the
temperature()
indices using the function
rainfall()
. But here, we fetch data from NASA POWER using
the nasapower
package passed to the data.frame
method.
library("nasapower")
lonlat <- data.frame(lon = c(-73.3, -74.5),
lat = c(-6.1, - 6.2))
rain <- rainfall(lonlat,
day.one = "2018-11-01",
last.day = "2018-12-31")
rain
These indices are designed to capture variability in sensitive stages
of crop development3,4 and can
be computed using the function crop_sensitive()
. Here we
use the sf
method with 5 random points across the Sinop
municipality in Brazil.
library("sf")
data("lonlatsf", package = "climatrends")
crop_sensitive(lonlatsf,
day.one = "2018-12-01",
last.day = "2019-01-31",
as.sf = FALSE)
Additionally the thresholds for each index can be adjusted using the
argument *.threshold
(where * is replaced by the index
abbreviation).
Evapotranspiration can be defined as the sum of evaporation and plant
transpiration from the Earth’s surface to the atmosphere. This is also
an important index to include in models for ecological interactions. In
**climatrends* this index can be calculate using the function
ETo()
which computes the evapotranspiration based on the
Blaney-Criddle method11, an
ideal equation when only air-temperature data sets are available for a
site. Here we use the array
method to compute the reference
evapotranspiration. And the duration of the time series in each row is
adjusted with the argument span
based on the duration of
the anthesis period in the latitude 25N, adjusted with argument
lat
.
data("temp_dat", package = "climatrends")
eto <- ETo(temp_dat,
day.one = "2013-10-28",
span = c(9, 10, 11, 12, 8, 10, 11, 11, 12, 10),
lat = rep(25, 10),
Kc = 0.92)
eto
## ETo
## <dbl>
## 1: 4.21
## 2: 4.34
## 3: 4.13
## 4: 3.50
## 5: 4.02
## 6: 3.75
## 7: 4.02
## 8: 3.89
## 9: 3.91
## 10: 3.65


President Trump on Senate Impeachment Trial: Bring It On
by Katie PavlichDuring an interview with Fox and Friends Friday morning, President Trump said if articles of impeachment pass the House, he wants a full, open and transparent trial in the Senate. He also said he wants the "whistleblower," who filed a second hand complaint to House Intelligence Committee Chairman Adam Schiff, to testify.
"Frankly, I want a trial," Trump said. "They’ve looked like fools over the last five days."
"There's nothing there," he continued. “There’s only one person I want more than where’s Hunter and that is Adam Schiff...I want to see Adam Schiff testify about the whistleblower...the whistleblower in my opinion is a political operative just like his lawyer...the one I want to testify the most is shifty Schiff."
The lawyer for the whistleblower called for a coup against President Trump last year.
Meanwhile Senate Judiciary Committee Chairman Lindsey Graham, who would lead the Senate trial, has opened up an investigation into the Bidens and Burisma. He's also said he won't allow a trial to proceed without testimony from the whistleblower.


Search tab
The Search tab allows you to search for regular expressions in all of the
URLs, requests, responses, headers and in other functionalities provided by add-ons.
Enter the regular expression you would like to search for in the search
box and either press return or click on the search button:
A pull down allows you to choose whether to search across the URLs,
the requests, the responses or everything.
All URLs, requests or responses which contain the search pattern will
be displayed in the tab.
You may find it useful to add .* to your search term -
this will give you more context e.g. password.*
You can use the
Next and
Previous
buttons to view found search terms in the Request
and Response tabs.
You can also go directly to a specific instance by clicking on the relevant
line in the results list.
Right click menu
Right clicking on a node will bring up a menu which will allow you to:
Attack
The Attack menu has the following submenus:
Active Scan...
This will launch the Active Scan dialog which allows you to initiate an
active scan with the starting point set to the request you selected.
Spider...
This will launch the Spider dialog which allows you to initiate the
spider with the starting point set to the request you selected.
Include in Context
This menu allows you to include the selected nodes and all of their subordinates in the specified
context.
You also have the option to create a new context.
The Session Contexts dialog will be displayed to
allow you to make any additional changes.
Exclude from Context
This menu allows you to exclude the selected nodes and all of their subordinates from the specified
context.
The Session Contexts dialog will be displayed to
allow you to make any additional changes.
Flag as context
This menu has the following submenus for each of the
contexts you have defined:
Context name Form-based Auth Login request
This identifies the specified node as a login request for the specified context.
You may only have one node identified as such in any one context.
The Session Context Authentication screen will be displayed to
allow you to make any additional changes.
Context name JSON-based Auth Login request
This identifies the specified node as a login request for the specified context.
You may only have one node identified as such in any one context.
The Session Context Authentication screen will be displayed to
allow you to make any additional changes.
Context name Data driven node
This identifies the specified node as Data driven content for the specified context.
The Session Context Structure screen will be displayed to
allow you to make any additional changes.
Exclude from
This menu has the following submenus:
Proxy
This will exclude the selected nodes from the proxy. They will still be proxied via ZAP but will not be shown
in any of the tabs.
This can be used to ignore URLs that you know are not relevant to the system you are currently testing.
The nodes can be included again via the Session Properties dialog
Scanner
This will prevent the selected nodes from being actively scanned.
The nodes can be included again via the Session Properties dialog
Spider
This will prevent the selected nodes from being spidered.
The nodes can be included again via the Session Properties dialog
New Alert...
This will bring up the
Add Alert dialog which allows you to manually record a new
alert against this request.
Show in History tab
This will show the selected node in the History tab.
Show in Sites tab
This will show the selected message in the Sites tab.
Open URL in Browser
This will open the URL of the selected node in your default browser.
See also


Three problems at the top of new RBS boss Alison Rose's to-do list
by Sebastian McCarthyAlison Rose begins life as the new boss of RBS today with her work cut out for her.
In a letter to staff this morning, the RBS lifer set out her commitments, which included “a clear focus on shared success” and “investment in people”.
But as the firm’s recent quarterly financial results demonstrated, there is a much wider range of challenges facing the new CEO.
Read more: RBS swings to a loss in wake of mammoth PPI charges
Under-performing divisions
“Weak across the board” is how Barclays recently described the situation, with income, costs and impairments all disappointing investors.
Given that her predecessor Ross McEwan tackled most of the major legacy issues, Rose’s focus is likely be geared towards improving the underperforming divisions in the business.
As the latest results show, the most embattled of those is the investment bank Natwest Markets, which Jefferies analyst Joe Dickerson described as “deplorable” following a 44 per cent drop in core income.
There are already mutterings over whether Rose will look to improve the ailing arm or find a route out of it altogether.
Read more: Sajid Javid delays appointment of new Bank of England governor
Fierce competition
Rose will also be faced with the unenviable task of improving the bank’s net interest margin – a key profitability target that has come under pressure amid an increasingly competitive battle in the residential mortgage market.
Analysts also point out that RBS, like many of Britain’s large lenders, faces threats from online-only banks.
Political headwinds
AJ Bell investment director Russ Mould said: “Fundamentally, it is a very difficult time to be a bank right now.
“What really makes banks profitable is positive interest rates, a steep yield curve and wide credit spreads, and you haven’t got any of them.
Read more: Meet the lifer who Rose through the ranks to claim the top job at RBS
“All [RBS] can do is lend with great prudence and keep a close eye on your costs.”
On the bright side, the bank has maintained its outlook, growth continues in commercial retail lending and hopes of a Brexit deal are on the up.
Yet most analysts agree that as the uncertainty rumbles on, one thing Rose does have in her control is the ability to keep a handle on costs.
At least – as one analyst points out – the RBS veteran “will be more familiar than most with where the remaining fat lies”.


ITP bug report:
http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=490240
Initial stuff:
Developer's Corner
How You Can Help Debian
How You Can Join
Work-Needing and Prospective Packages
Mailing Lists
The actual set of tabs most recently working with:
Maint Guide
Maint Guide, Ch. 3: Modifying Source
Maint Guide, Ch. 2: First Steps
Maint Guide, Ch. 4: Req'd stuff under debian/
Maint Guide, Ch. 9: Updating the package/
Maint Guide, Ch. 5: Other files under debian/
Menu sub-policy, Ch. 2: Menu Structure
Maint Guide, Ch. 6: Building the package
Maint Guide, Ch. 7: Checking the package for errors


EBD - Easton Bible DIctionary
Togarmah
TOGARMAH
"TOGARMAH "(1.) A son of Gomer, and grandson of Japheth (
Genesis 10:3
).
(2.) A nation which traded in horses and mules at the fairs of Tyre (
Ezekiel 27:14
;
38:6
); probably an Armenian or a Scythian race; descendants of (1).
"TOGARMAH "(1.) A son of Gomer, and grandson of Japheth (Genesis 10:3).
(2.) A nation which traded in horses and mules at the fairs of Tyre (Ezekiel 27:14; 38:6); probably an Armenian or a Scythian race; descendants of (1).


Sylvanian Families Robinson Red Panda Family
UK Biography Information
Father Wilbur Robinson grows some of the best grapes in Sylvania on the sunny slopes, just south of the village. He grows many different varieties, some for the fruit bowl as well as some to make delightful red and white wines, but everyone's favourite is the one he grows for his wife's deliciously sweet grape juice.
Mother Fliss Robinson is the one who turns Wilbur's juicy plump grapes, not only into excellent red and white wines, but she also creates a scrumptious grape juice, which can only be described as 'the nectar of the gods'!
Sister Frances Robinson wants to be famous for a special drink like her mother, so she spends a lot of time helping Wilbur, her father and Fliss, her mother, in order to learn as much as possible about how the different drinks are made. She is experimenting with a grape juice with mango at the moment and both her parents are proud to help and advise.
Baby Sister Cali Robinson loves the seedless grapes her father grows for fruit salad. She often wonders how he manages to grow grapes without any seeds, after all, you need seeds to grow a vine in the first place! This problem has not put her off the grapes and she would eat them non-stop if she could.


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This page lists all scripting templates available for the various scripting nodes in Knime.
| Name |
Preview |
Description |
Category |
Author |
Language |
| Stream plot |
|
Creates a stream plot (stacked histogram) from several input parameter
Inputs:
1) Features of interest: choose parameters to form the stream plot (stacked histogram)
2) Number of bins: binning of the data
3) Color chooser: method to pick the colors for the different parameter
|
experimental |
Felix Meyenhofer (python script from Anand Patil, Steam plot method by Lee Bryon) |
Python |
| estimate gaussian intersection |
|
compute the histograms of random variables, fit a gaussian and compute the intersection points.
This version can only deal with TWO groups. Make sure there are no more and no less to be found in the "Grouping
column".
Inputs:
1) Features of interest: choose parameters to form the stream plot (stacked histogram)
2) Number of bins: binning of the data
3) Color chooser: method to pick the colors for the different parameter
|
univariate |
Felix Meyenhofer |
Python |
| 2D scatter plot |
|
Make a 2D scatter plot form 2 variables.
Parameter:
grouping column: column assotiating each measurement to a particular group.
Per default this attribute is empty -> all measurments blong to the same group.
x values: values displayed on the x-axis
y values: values displayed on the y-axis
|
scatter-plots |
Felix Meyenhofer |
Python |
| 3D scatter plot |
|
Make a 3D scatter plot form 3 variables.
Parameter:
grouping column: column assotiating each measurement to a particular group.
Per default this attribute is empty -> all measurments blong to the same group.
x values: values displayed on the x-axis
y values: values displayed on the y-axis
z values: values displayed ...
|
scatter-plots |
Felix Meyenhofer |
Python |
| 3D PCA scatter plot |
|
Take any number of numerical features, project it into an orthogonal space using
principal componant analysis (PCA) and use the first three componants to create a 3D
scatter plot.
Parameter:
features of interest: The featuers included into the PCA
grouping column: column assotiating each measurement to a particular group.
Per default this attribute is empty -> all measurments blong to the same group.
|
scatter-plots |
Felix Meyenhofer |
Python |
| Barplot |
|
Flexible template to create a barplot or barplot grid with optional errorbars
Parameter:
Bar height - One or multiple numerical variables. Each value will result in one bar
Error bar checkbox - Draw errorbars?
Error bar - Error bar values corresponding to the height values (same number of columns have to be selected)
To use a flow variable check box and type in variable names using the format: FLOWVAR(variable name)
x-axis - Label to put at the x-axis for each bar (mulitple columns can be selected to combine information)
2D-grid grouping parameter - Allows to split the dataset into multiple plots by this condition (mulitple columns
can be selected to combine information)
bar colour - Colour bars by condition (mulitple columns can be selected to combine information)
Enter an additional title
|
basic/barplots |
Antje Niederlein |
R |
| Boxplot (with configuration and flow variable option) |
|
A simple box plot with Options:
- set the y-axis limits (default: none (=automatic); min AND max values are neccessary, if you want to set
limits)
- set the magnification factor to be used for axis annotation (default: 1) or set automatically according to
number of x-axis factors
- set color of histogram or line (default: lightblue; see colors here
http://research.stowers-institute.org/efg/R/Color/Chart/)
- set outer margins in lines of text (vector of form (bottom, left, top, right) corresponding to command "oma"
in R)
- to use a flow variable check box and type in variable name using the format: FLOWVAR(variable name)
|
basic/boxplots |
Holger Brandl, Martin Stoeter |
R |
| Multi-parameteric parallel boxplot grid |
|
A grid of parallel boxplots, one for each selected assay parameter. The number of actual parallel boxplots is
defined by a categorical variable (like a well-treatment)
|
basic/boxplots |
Holger Brandl |
R |
| Notched Boxplot |
|
A boxplot with notches that indicate significant differences of the median between groups in case of equal
sample sizes. Refer to the R-documentation or further details.
|
basic/boxplots |
Holger Brandl |
R |
| Parallel Boxplot grid |
|
A grid of parallel boxplots.
Inputs
1) A categorial variable which defines the number of parallel boxplots
2) Another categorical variable that defines the grouping of observations into the different grids
3) Your assay-parameter of interest
|
basic/boxplots |
Holger Brandl |
R |
| Factorized density grid |
|
Creates a grid of density plots for selected columns and plots densities for each factor (group).
1) Select numerical variables. Each variable will result in a subplot.
2) Select a column that contains the factors/groups of densities to plot.
3) Select color palette for plot.
4) Select how to plot the colors (fill densities or lines).
5) Select if background should be white.
6) If color palette "manual" is used then select colors for each group (in alphabetical order of groups)
- see here for colors: http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.pdf
|
basic/histograms |
Holger Brandl, modified by Martin Stoeter |
R |
| Histogram |
|
Displays a histogram (distribution) of a numerical attribute.
Allows modification of bins, axis, color, and optional probability density
Options:
- set number of bins: (default: 15)
- set the x and y-axis limits (default: none (=automatic); min AND max values are neccessary, if you want to set
limits)
- y-axis is probability density (default: false (=frequency)
- plot density line (default: false)
- set color of histogram or line (default: black; see colors here
http://research.stowers-institute.org/efg/R/Color/Chart/)
(TDS internal)
|
basic/histograms |
Holger Brandl, Martin Stoeter |
R |
| Histogram grid |
|
Creates a grid containing a number densityplots, each for a different feature dimension. Within each plot the
densities are factorized according to a chosen grouping factor.
1) A selection of numerical variables. Each variable will result in a subplot.
|
basic/histograms |
Holger Brandl |
R |
| Stacked Histogram |
|
Displays a stacked histogram (distribution) of a numerical attribute.
Allows modification of number of bins.
|
basic/histograms |
Holger Brandl, modified by Antje Niederlein |
R |
| Association Plot |
|
|
basic/others |
Holger Brandl |
R |
| Cleveland Dot Plot |
|
|
basic/others |
Holger Brandl |
R |
| 2-Factor Barplot |
|
A barplot of a single attribute which is barplotted after being grouped according to 2 different factors (like
barcode and treatment).
|
deprecated/basic/barplots |
Holger Brandl |
R |
| 2-Factor Barplot with Errors |
|
A barplot of a single attribute which is barplotted after being grouped according to 2 different factors.
|
deprecated/basic/barplots |
Holger Brandl |
R |
| 3-Factor Barplot |
|
A barplot of a single attribute which is grouped according to 3 different factors.
This will generate a 2d-grid with the levels of the first factor on the x- and the levels of the second factor
on the y-axis.
|
deprecated/basic/barplots |
Holger Brandl |
R |
| 3-Factor Barplot with Errors |
|
A barplot of a single attribute which is grouped according to 3 different factors.
This will generate a 2d-grid with the levels of the first factor on the x- and the levels of the second factor
on the y-axis.
|
deprecated/basic/barplots |
Holger Brandl |
R |
| Bar Plot |
|
Creates a barplot. This can be used to visualize zscores, CVs, etc.
Inputs:
1) A numerical variable. Each observation/well/phenotype will result in one bar
2) A factor that is used to label each bar.
|
deprecated/basic/barplots |
Holger Brandl |
R |
| Bar Plot Grid |
|
Creates a grid containing a number of barplots. This can be used to visualize zscores, CVs, etc.
1) A selection of numerical variables. Each variable will result in a subplot.
|
deprecated/basic/barplots |
Holger Brandl |
R |
| Histogram (beautified) |
|
Displays a histogram (distribution) of a numerical attribute
|
deprecated/basic/histograms |
Holger Brandl |
R |
| Histogram (Simple) |
|
Displays a histogram (distribution) of a numerical attribute
Parameter:
variable of interest: vector from which the histgram is calculated.
lower bound: ... is the lower bound of the x axis, default is minimum value found in the variable of interest.
upper bound: ... is the upper bound of the x axis, default is maximum value found in the variable of interest.
number of bins: the bin centers are linearly spaced between upper and lower bound.
|
deprecated/basic/histograms |
Holger Brandl |
R |
| Correlogram |
|
Produces a graphical display of a correlation matrix, called a correlogram. The cells of the matrix can be
shaded or colored to show the correlation value.
Source: http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=148
|
relations |
Holger Brandl |
R |
| Correlogram (colored ellipses) |
|
Produces a graphical display of a correlation matrix, called a correlogram. The cells of the matrix can be
shaded or colored to show the correlation value.
Source: http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=149
|
relations |
Holger Brandl |
R |
| Correlogram with p-values |
|
Visualization of a Correlation Matrix. On top the (absolute) value of the correlation plus the result of the
cor.test as stars. On botttom, the bivariate scatterplots, with a fitted line.
Source: http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=137
|
relations |
Holger Brandl |
R |
| density-scatter-matrix |
|
Displays a scatter matrix where the color code reflect the density of points.
The densities are log2-scaled.
Parameter:
Grouping column: cathegorical column that associates the observation to a group.
Feature space: a set of variables (columns) where each feature is plotted in a
scatter plot against all other features.
|
relations |
Felix Meyenhofer |
R |
| Grouped scatter-matrix |
|
Diplays a scatter matrix where all the groups found in the grouping column get their own color.
Parameter:
1) Grouping column: select a categorical column that contains the factors/groups.
2) Feature space: select numerical variables where each variable is plotted in a scatter plot against all other
variables.
3) Title: enter a title
4) Layout:
- Alpha value: define the alpha value of the points. The more data the lower you can set this value.
- Select color palette for plot.
- Select if background should be white.
- If color palette "manual" is used then select colors for each group (in alphabetical order of groups)
- see here for colors: http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.pdf
|
relations |
Felix Meyenhofer, modified by Martin Stoeter |
R |
| Group means parallel-plot |
|
A parallel plot (aka profile plot) of means of different groups with errors bars. If robust statistics is
checked the median and mad will be used instead of mean and sd.
Inputs
1) a grouping variable
2) a selection of assay parameters
|
screening/profiles |
Holger Brandl, Antje Niederlein, Martin Stoeter |
R |
| parallel plot |
|
A parallel plot of a selection of assay parameters of interest. Additionally the mean of the data set is shown
including error-bars.
(TDS internal)
Inputs:
1) A collection of assay parameters
|
screening/profiles |
Holger Brandl |
R |
| Parallel plot grid by factor |
|
A grid of parallel plots where each plot displays a parameter profile for all data points belonging to the same
group. Additionally the mean of the data set is shown including error-bars. If robust statistics is checked the
median and mad will be used instead of mean and sd.
Inputs:
1) A categorical variable which superimposes a grouping on your dataset
1) A collection of assay parameters
|
screening/profiles |
Holger Brandl, Antje Niederlein, Martin Stoeter |
R |
| QQ-Plot grid |
|
Creates a trellis of qq-plots (with respect to normal distribution) which allow to visually determine which
parameters follow a normal distribution
|
screening/qc |
Holger Brandl |
R |
| screen scatter plot |
|
This plot is also known as trend- or sequence-plot (cf "High-throughput screening in drug discovery, Hueser,
2006, Wiley")
A scatter plot which displays all wells of the screen. Given a colleciton of readouts
this will create grid of subplots with on scatter-plot for each attribute
(TDS internal)
|
screening/qc |
Holger Brandl |
R |
| screen scatter plot grid |
|
This script will create a grid of screen-scatter plots (which are also known as trend- or sequence-plots (cf.
"High-throughput screening in drug discovery, Hueser, 2006, Wiley"))
Input parameters:
1) The treatments of interest: Only wells with one of these treatments will show up (differently colored) in the
plot
2) The assay-parameters of interest: The script will create one subplot in the grid per assay parameter
(TDS internal)
|
screening/qc |
Holger Brandl |
R |
| 3D histogram |
|
Generates a 3D histogram from two columns.
|
statistics/multivariate |
Felix Meyenhofer |
Matlab |
| Paralell Plot |
|
Generates a paralell plot.
1) Cathegorical attibute
2) Parameter defining the multivariate space
3) Standartization (on -> z-score, PCA -> principal componant scores, PACstd, standardized principal componants)
4) Qantile plots only the 1-alpha quantiles and the median
|
statistics/multivariate |
Felix Meyenhofer |
Matlab |


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Reuters Poll: 36% of Independents Tuning Out Impeachment Hearings
A plurality of independents are tuning out the impeachment hearings, according to a recent poll.
by Kristina WongAccording to a recent Reuters/Ipsos poll, 36 percent of independents said they did not watch, read, or hear anything about the hearings.
Of the 64 percent of independents who have paid some attention to the hearings, only 19 percent actually watched them. Seventeen percent said they watched or listened to news summaries, and 30 percent said they read or listened to news summaries.
While the poll shows that most independents are paying attention, it also shows that they are not as engaged as other demographics.
The poll showed that Democrats were the most engaged demographic — with 35 percent watching or listening to the hearing compared to only 26 percent of Republicans.
And more Democrats than Republicans and independents watched, listened to, or read news summaries about the hearings.
That could be bad news for Democrats who are hoping the hearings will sway the American public and persuade Republicans in the Senate to support impeachment.
It could also be good news for Republicans, who do not think the American people care to tune into the hearings, which have often turned into history lessons on U.S.-Ukraine relations.
An administration official told Axios, “So long as this impeachment stays in the echo chamber of hyperpartisan Democrats and their allies in the media and doesn’t break through into the country … we have the advantage.”
The poll was conducted November 14-15 — after U.S. diplomats Bill Taylor and George Kent testified and as former Amb. Marie Yovanovitch was testifying. The sample included 1,115 adults who were 18 and older, with a ± 3.3 percentage point error.
Follow Breitbart News’s @Kristina_Wong.