In Focus: The 2019 Sports Personality of the Year contenders
The six-person shortlist for the 2019 BBC Sports Personality of the Year award has been revealed.
Here, the PA news agency takes a closer look at the nominees.
Ben Stokes
The inclusion of the all-rounder will come as a surprise to no-one after he played a starring role in England's Cricket World Cup triumph on home soil before producing another impressive display in the third Ashes Test at Headingley to help salvage a series draw. A superb one-handed catch against South Africa in the World Cup opener set the tone for a memorable summer to come but it was his knock of 84 not out in the final and subsequent performance in the super over that earned him hero status.
Dina Asher-Smith
The 23-year-old made history at this year's World Championships in Doha as she became the first British woman to win a global sprint title on her way to claiming a hat-trick of medals. Her gold medal in the 200m and silvers in the 100m and 4x100m relay made her the first Briton to win three medals at a World Championships.
Raheem Sterling
The Manchester City and England forward shone as his club retained their Premier League title in the 2018-19 campaign, contributing 17 goals and 10 assists. Sterling also took home FA Cup and League Cup medals last term as City secured a domestic treble and was a star performer for England.
Alun Wyn Jones
The influential captain led Wales to their first Guinness 6 Nations Grand Slam for seven years and was named Player of the Championship. He also became his country's most-capped player as Wales reached the World Cup semi-finals.
Lewis Hamilton
The Mercedes driver claimed his third successive Formula One championship and his sixth in total to close in on Michael Schumacher's all-time record of seven. Hamilton is in contention to claim this award for the second time after winning it in 2014.
Katarina Johnson-Thompson
A spectacular 2019 for the heptathlete saw her win her first senior global outdoor title at the World Championships in Doha, setting set a British record of 6,981 points in the process.
body check tags ::


Mississippi businesses need access to debt financing, equity investments, grants, and incentives to properly diversify. MDI is designed to help facilitate connections to the financial resources that your business needs to grow and serve diverse client bases.
Debt financing and equity investment are required resources to support Mississippi business diversification activities. We can assist you with learning about the nuts and bolts of each type of financing and after a review of your needs, introductions to potential debt or equity sources.
Please contact us at<EMAIL_ADDRESS>to assist you with locating equity and debt investment options that may be right for your diversification plan ranging from banks to angel investors and from venture capital to private equity. If you let us know a little about your anticipated needs, we can attempt to assist you with the appropriate introductions.
To support deepening your knowledge on traditional local financing options, please visit our resources:
Introduction to Diversification Financing
Angel Funds 101
Angel Financing 101
Planning & Pitching for Financing
The purpose of the OEA Gap Fund is to further the commercial potential of early-stage “dual-use” (military/civilian) technologies or innovations. Those technologies/innovations that are submitted to the USM Office of Technology Development would be eligible for review for funding.
Eligible projects may be proposed by the following:
1. Mississippi-located defense companies;
2. USM faculty, staff and/or students who are the inventor(s)/developer(s) of the technology that is resultant from a U.S. Department of Defense research initiative; or
3. Other potential dual-use technology from the USM research enterprise.
Funding will be awarded on a competitive basis to projects that require prototype development or another next stage of validation to demonstrate the technology (device, software platform or software application) can work and is scalable. Funding targets research conducted through Department of Defense funding and has the potential for commercial applications. Projects should be those that have been or can be moved beyond the basic research stage by demonstrating technical feasibility and verifying that the technology can be placed into a suitable business model. With a relatively small amount of funding, the project should increase the value of the technology and make it suitable for further outside investment, out-licensing, or for forming a company start-up around the technology.
Award will be in the form of “innovation vouchers” that can be used with USM or USM-approved vendors. Award maximum funding for the first-round is $7,500 and will be awarded for projects up to five months in duration or for the duration of the grant, whichever comes first. Awardees of first-round funding will be eligible for one of three second-round funding opportunities of $7,500.
To view the full list of requirements, go to the Office of Technology Development web page.
Submission Requirements and Due Dates
All responses should be submitted via email to Pam Thornton at<EMAIL_ADDRESS>no later than noon CT on Jan. 9, 2018. Only attached Microsoft Word compatible files or Adobe Acrobat PDF files will be accepted.
Resources:
GAP Fund Process
The Mississippi Seed Fund is managed by Innovate Mississippi. Innovate Mississippi provides high-tech, startup companies with access to pre-seed financing, early-stage risk capital and product development capital to stimulate and accelerate the development of high-performance, technology-based business ventures in Mississippi. The Seed Fund consists of the Proof of Concept, Research and Development, and New Technology Business programs.
For more information, visit the Innovate Mississippi website.
Mississippi offers businesses locating or expanding in the state a number of tax incentives, including state income tax credits and sales, use and property tax exemptions.
Resources:
Income Tax Incentives
Mississippi Department of Revenue - Tax Information
Mississippi Development Authority - Tax Information


Ajinkya Vadane ........
1001657016
cache = "mycache1" queryString = "select latitude, longitude, mag, magType from quake where mag >" +
magnitudeVal
mycache queryString = select * from earthquakeAssignment3
mycache2 query = SELECT id, latitude, longitude, depth, mag, magType
Find Earthquakes in a certain radius and magnitude greater
mycache3
Find Earthquakes only occurring in particular location
mycache4
Find Earthquakes only occurring in within particular time range
mycache5
Find Earthquakes only occurring in within particular magnitude range


Mineral Trader Hitchi:
Ha! Awesome! Just like a craftsman, eh?
Thanks for telling me that story. Now you should go talk to
Lockirin in Dwarven Village
at the Iron Gate Guild. He'll tell you what you need to do next. Ha!


org.drools.brms.client
Classes
AdminFeature
DeploymentManagementFeature
Info
JBRMSEntryPoint
JBRMSFeature
JBRMSFeature.ComponentInfo
JBRMSFeatureConfigurator
JBRMSFeatureList
LoggedInUserInfo
LoginWidget
PackageManagementFeature
RuleBases
RulesFeature
Search


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IFXRenderDevice Class ReferenceThe IFXRenderDevice object represents the encapsulation of a single video card.
More...
Inheritance diagram for IFXRenderDevice:
List of all members.
Detailed Description
The IFXRenderDevice object represents the encapsulation of a single video card.
Most methods and settings are through the CIFXRenderDevice interface. In fact, this interface is only used by the implementation of the IFXRenderServices interface, so in most cases it can be ignored.
Constructor & Destructor Documentation
| IFXRenderDevice::IFXRenderDevice |
( |
|
) |
[inline, protected] |
|
| virtual IFXRenderDevice::~IFXRenderDevice |
( |
|
) |
[inline, protected, virtual] |
|
Member Function Documentation
| virtual IFXRESULT IFXAPI IFXRenderDevice::DeleteMesh |
( |
U32 |
uInMeshId |
) |
[pure virtual] |
|
| virtual IFXRESULT IFXAPI IFXRenderDevice::DeleteTexture |
( |
U32 |
uInId |
) |
[pure virtual] |
|
|
|
Delete the texture given by uInhId from the device's VRAM.
- Parameters:
-
| uInMeshId | Mesh Id of a texture to be deleted from a device's video memory. |
- Returns:
- IFXRESULT
- Return values:
-
Implemented in CIFXRenderDevice. |
| virtual IFXRESULT IFXAPI IFXRenderDevice::GetCaps |
( |
IFXRenderCaps & |
rCaps |
) |
const [pure virtual] |
|
| virtual IFXRESULT IFXAPI IFXRenderDevice::GetSupported |
( |
U32 |
uDeviceNum, |
|
|
BOOL & |
bSupported |
|
) |
[pure virtual] |
|
|
|
Gets whether or not this renderer type is supported for the given device number.
- Parameters:
-
| uDeviceNum | The logical device number of the video card that will perform the rendering. |
| bSupported | Output BOOL that is set to TRUE if the renderer is supported for uDeviceNum. |
- Returns:
- An IFXRESULT code.
- Return values:
-
Implemented in CIFXRenderDeviceDX7, CIFXRenderDeviceDX8, CIFXRenderDeviceNULL, and CIFXRenderDeviceOGL. |
| virtual IFXRESULT IFXAPI IFXRenderDevice::Initialize |
( |
U32 |
uDeviceNum |
) |
[pure virtual] |
|
© 1999 - 2006 Intel Corporation. All rights reserved.
* Other names and brands may be claimed as the property of others.
|
|


--- subject: Voguetaps --- View in browser| Unsubscribe New In Best Sellers Sandals Loafers&Flats All Shoes Clothing
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Shape
Square
Bird
Triangle
Letter S
Kite
Hexagon
Trapezoid
Colors
Standard
Spring
Autumn
Fresh
Language
English
Polish


--- author: Steve Gill categories: app date: '2011-06-20 23:29:17' permalink: /2011/06/20/phonegap-meetup/ slug: phonegap-meetup status: publish title: PhoneGap Meetup type: post format: html ---
Hey Everyone,
If you haven't heard, PhoneGap meetups are popping up everywhere! Is there a meetup group near you? Check out this map to find out: http://phonegap.meetup.com. If you don't see one in your area, and want to start a meetup group, let us know and we can help you out!
On Wednesday, June 22nd, the Vancouver PhoneGap meetup group will be having another meetup. They will be discussing the current and future mobile landscape, as well as upcoming features to PhoneGap build. If you are in the Vancouver area and are interested in attending, please click here and rsvp.
If you live in Calgary and are interested in joining a PhoneGap meetup group, check out the official Calgary PhoneGap Meetup Group at http://www.meetup.com/Calgary-PhoneGap-Meetup-Group/! It is just getting started, but with enough intrest they will start to hold regular meetups.
PhoneGap Meetups are a great way to learn about technology and meet other developers who are also interested in PhoneGap.
Alright I am out! -Steve @_SteveGill


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01447374
REVISION
OF
JUSSIAEA
J.
suffruticosa
L.
(^kaxX--
Philip
A.
Munz
,
1939
C-
01447374
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


OSCP reviews:
https://backdoorshell.gitbooks.io/oscp-useful-links/content/
https://411hall.github.io/OSCP-Preparation/
https://www.peerlyst.com/posts/the-how-to-get-the-oscp-certification-wiki-peerlyst?utm_source=LinkedIn&utm_medium=Application_Share&utm_content=peerlyst_post&utm_campaign=peerlyst_shared_post
https://www.alienvault.com/blogs/security-essentials/how-to-prepare-to-take-the-oscp
http://niiconsulting.com/checkmate/2017/06/a-detail-guide-on-oscp-preparation-from-newbie-to-oscp/
https://blog.propriacausa.de/wp-content/uploads/2016/07/oscp_notes.html
https://www.abatchy.com/2017/03/how-to-prepare-for-pwkoscp-noob.html
https://tulpa-security.com/2016/09/19/prep-guide-for-offsecs-pwk/
http://niiconsulting.com/checkmate/2017/06/a-detail-guide-on-oscp-preparation-from-newbie-to-oscp/
https://www.securitysift.com/offsec-pwb-oscp/
https://whitedome.com.au/re4son/category/re4son/oscpnotes/
Complete
https://blog.mallardlabs.com/zero-to-oscp-in-292-days-or-how-i-accidentally-the-whole-thing-part-2/
https://sathisharthars.com/2015/01/23/offensive-security-certified-professional-pwk-my-experience/
sathisharthars follow up: http://hackingandsecurity.blogspot.com/2016/04/oscp-related-notes.html
http://alickgardiner.com/OSCP-cert/
OSCP support site with rules for the exam ect!
https://support.offensive-security.com/#!oscp-exam-guide.md#Exam_Restrictions
https://support.offensive-security.com/#!oscp-exam-guide.md
The exam is 5 boxes of varying difficulty, scored 100/100. You must achieve a minimum score of 70 points to pass the exam.
You have 24 hours to perform the penetration test on the 5 boxes, and then another 24 hours to write and submit your report.
With an extra 5 bonus points available if you submit a lab report alongside your exam report.
There are two 25 point boxes, two 20 point boxes, and a 10 point box.
Low-priv is partial points (amount unknown, I'm assuming 10 points), while root is full points.
One of the 25 point boxes being the buffer overflow box.
"You may only use Metasploit Auxiliary, Exploit, and Post modules against one target machine of your choice.
Once you have selected your one target machine, you cannot use Metasploit Auxiliary, Exploit, or Post modules against any other machines."
After failing a 4th time they make you wait 6 weeks between retakes.
http://popped.io
Experimenting with different vulnerable machines on VulnHub such as Tr0ll, Kioptrix and bWAPP.
Also check out Bandit at OverTheWire to get started.
I cant stress enough the importance of taking notes and screenshots as you go. This has been reiterated to death on many OSCP reviews and should be practiced religiously.
 I cant even recall why I needed to spend as much time as I did on those 3 boxes. Possibly because I was over-complicating things when I should have been looking at what was staring me directly in the face. I should have utilized my time more efficiently.
I had no structure or plan of attack going into the exam - Out of all of the things I have listed, this by far was the biggest point of failure. I tried to wing it through the exam and was punished. My methodological approach needed to approve.
I then created my own methodologies that consisted of a holistic penetration testing approach leveraging manual testing techniques in the following areas:- Host Discovery
- Enumeration and Service Discovery
- Vulnerability Assessment and Analysis
- Web Application Penetration Testing
- Infrastructure Penetration and Privilege Escalation
- Post Exploitation
- Do not Update any tools before exam, it will mess up the stability, I updated one of the tool and had to spend 20 minutes on it, but was able to get rid of it.
- Take backups frequently, who knows VM may crash due to something…..


Died during a sex romp with three Indian prostitutes.
Name is synonymous with evil to Nigerians.
His widow Maryam hired O.J. Simpson's attorney Johnny Cochran to represent her in an embezzlement trial.


I have now begun learning about media queries. I soon need to start implementing all the previous lessons together. Apparently, this shows not just the difference of screen views on a computer and phone/tablet, but also ensures the quality is still good.
Using media queries and responsive design allows us to ensure that our site looks and works great no matter how the user is viewing it.
And, as more and more people use more and more devices to browse the internet, integrating media queries into websites is becoming a common, widespread practice!Are you beginning to see the possibilities here? Media queries are awesome!


--- layout: post title: Bringing Rails Convention to the Wild West of JS tags: - coding - react - react-native ---
8/22/18: Updated and cross-posted on the 20spokes blog
Necessity is the mother of invention — but Rails is the mother of convention. And sometimes, what you really need is some structure.
I work for a development consultancy that has branched into mobile in a big way, using React Native with Rails APIs. As a consultancy, we have the unique perspective of building projects from scratch often, and we kept coming back to folder structure. Namely, how on earth does anyone find anything in a React Native (or React.js) app as it grows?
Most of the React tutorials we saw out there had three main folders for their files: elements, modules, and components. (Redux projects will sometimes expand that to include an actions folder.) But try getting someone to actually define what an element is, versus a module, versus a component, and the argument quickly becomes circular. Elements are reusable, they say. Well, so are modules. Modules are bigger, though. Sort of.
So we decided to write our own rulebook. Trash it if you like, but it’s worked pretty well for us so far, and going back to maintain projects we built before we established this style? The difference is mind-boggling.
|_ __tests__
|_ ...mirrors the src folder
|_ android
|_ assets
|_ ios
|_ src
|_ actions
|_ contexts
|_ elements
|_ helpers
|_ layouts
|_ navigators
|_ utils
App.js
index.js
If you’re building any kind of mildly robust mobile application that makes requests to an API, you probably have several "flows" through the app. Settings. Login. Feed. Profile. Onboarding. Any "section" of the app that you’ve probably already chunked out as a feature set is probably also a context. We decided to create a folder for each of these contexts, with all the views in that context along with all of the modules/elements that are particular to that context. [1]
For example, a public profile view, an editable profile view, and an avatar uploading module would all be in a Profile context folder. If an element is reusable outside of that component, stick it in the elements folder instead. The contexts folder was the real heavy-hitter in our redesign. You’re welcome.
Most of the apps we create have custom navigation bars/drawers or SafeArea
wrappers that need to go on every page. We usually call this a ViewWrap.js
or TopNav.js
, whatever the use case is. Sometimes different kinds of views have different view wraps. The layouts folder is for these — just like in Rails.
The navigators folder is a handy place for all your navigation-related files.
If you’re familiar with navigation libraries for react like React Navigation, you know that each app "flow" needs a navigator file or something like it. We used to keep these in the junk pile, AKA the top level of the folder structure along with App.js
and index.js
. But for complex apps with lots of form flows, or different user journeys, having a navigators folder — with subfolders like Admin or Onboarding or other, more specific navigational needs — makes it a lot easier to grok the app’s navigational complexities.
As a software consultancy, we have a particular interest in making sure that our code is easy to read and maintain by another team sometime down the line. But let’s be honest — we’ve all read a codebase that we wish had been written with future developers in mind.
Going back to old projects, ones built before we adopted this new folder structure, isn’t a total nightmare (we have always been pretty good at this readability stuff, after all). But it truly is amazing how much of a difference the new structure has made. No longer do I have to wonder which Events folder is going to have EventCard.js
in it — src/elements/EventCard.js
or src/modules/EventCard.js
? There’s only one Events folder, src/contexts/Events
. Something reusable like a card will maybe be another folder deep, in a modules
folder particular to events. But that’s it. No more digging!
Even if you decide not to implement our folder structure for your next React or React Native project, what I hope you’ll take away from this success story is that it’s invaluable to consider lessons you’ve learned from other frameworks. What makes Rails infinitely easy to jump into and know where to look for things is totally doable in React. So get after it!
contexts
folder whatever you want?


Genesis 29:28
And Jacob did so, and fulfilled her week: and he gave him Rachel his daughter to wife also.


Select this checkbox to have IntelliJ IDEA automatically position the opening angle bracket
<
at the
proper column when entered in an empty line in JSP code. In this case IntelliJ IDEA seeks backward for the nearest
unclosed angle bracket and places a closing one >
at the corresponding indentation level.


Lena Horne
Lena Horne was a singer, actress and civil rights activist who first established herself as an accomplished live singer and then transitioned into film work. She signed with MGM studios and became known as one of the top African American performers of her time, seen in such films as Cabin in the Sky and Stormy Weather. She was also known for her work with civil rights groups and refused to play roles that stereotyped African American women, a stance that many found controversial. After some time out of the limelight during the '70s, she made a revered, award-winning comeback with her 1981 show Lena Horne: The Lady and Her Music. Learn more.


April 8th: 333 SATOSHI (#BTC) Daily Giveaway
— CP (@CryptoPayoff) April 7, 2019
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Giveaway's sponsor is https://t.co/csFTDlPDwM - crypto faucet & rewards site.https://t.co/FNxS9fsnLi


Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution.
| Version: | 1.3 |
| Depends: | corpcor, GenOrd, Matrix, mvtnorm |
| Published: | 2018-01-03 |
| Author: | Gul Inan, Hakan Demirtas |
| Maintainer: | Gul Inan <ginan at metu.edu.tr> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | PoisBinOrd results |
| Reference manual: | PoisBinOrd.pdf |
| Package source: | PoisBinOrd_1.3.tar.gz |
| Windows binaries: | r-devel: PoisBinOrd_1.3.zip, r-release: PoisBinOrd_1.3.zip, r-oldrel: PoisBinOrd_1.3.zip |
| OS X binaries: | r-release: PoisBinOrd_1.3.tgz, r-oldrel: PoisBinOrd_1.3.tgz |
| Old sources: | PoisBinOrd archive |
Please use the canonical form https://CRAN.R-project.org/package=PoisBinOrd to link to this page.


Details
Designed, Developed and maintained web application written in java with Tcl and UNIX support for Honeywell Aerospace division.
Privately suggested and implemented changes in the application that potentially saved $19750/yr for the client.
Designed and developed Python application that extracts information from files and makes reports.
Created daily, weekly, monthly statistical reports in Microsoft Excel which are presented to the client.


--- layout: post status: publish published: true title: This guy answered all your web development questions author: display_name: vishvendra login: vishvendra email<EMAIL_ADDRESS>url: '' author_login: vishvendra author_email<EMAIL_ADDRESS>wordpress_id: 503 wordpress_url: https://vishvendrasingh.com/?p=503 date: '2017-03-23 12:24:54 +0530' date_gmt: '2017-03-23 12:24:54 +0530' categories: - web tags: [] comments: [] ---
Hi,
This guy answered all your web development questions.


After dispose has been called, this method returns true. Use this method to determine whether dispose() should be run again.
Generated using TypeDoc
After dispose has been called, this method returns true. Use this method to determine whether dispose() should be run again.


pymatgen.ext.jhu module¶
This module creates an interface to the JHU kpoints servlet, see http://muellergroup.jhu.edu/K-Points.html.
-
get_kpoints
(structure, min_distance=0, min_total_kpoints=1, kppra=None, gap_distance=7, remove_symmetry=None, include_gamma='auto', header='simple', incar=None)[source]¶ Get kpoints object from JHU servlet, per Wisesa-McGill-Mueller methodology. Refer to http://muellergroup.jhu.edu/K-Points.html and P. Wisesa, K. A. McGill, T. Mueller, Phys. Rev. B 93, 155109 (2016)
Parameters: - structure (Structure) – structure object
- min_distance (float) – The minimum allowed distance between lattice points on the real-space superlattice
- min_total_kpoints (int) – The minimum allowed number of total k-points in the Brillouin zone.
- kppra (float) – minimum k-points per reciprocal atom.
- gap_distance (float) – auto-detection threshold for non-periodicity (in slabs, nanowires, etc.)
- remove_symmetry (string) – optional flag to control symmetry options, can be none, structural, time_reversal, or all
- include_gamma (string or bool) – whether to include gamma point
- header (string) – “verbose” or “simple”, denotes the verbosity of the header
- incar (Incar) – incar object to upload


If you’ve come this far, you’ve presumably got your email under control; your inbox is clean and everything is where it needs to be. But those emails aren’t going to complete themselves (nor will the thousand other things you need to get done). You need a system to help you remember what needs to get done, when.
This is Part 2 in a 3 part series on productivity. Part 1 covers email management and Part 3 covers material archiving.

Todo management is, quite simply, a system that allows you to track, rank, and ultimately complete all the things you need to get done.
As with email management, I’m going to give you my story as an example.
TL;DR
A good todo system is critical to productivity; in that vein, I introduce my longtime GTD companion, Toodledo.
The Holy Grail of Productivity
While in grad school, I read to David Allen’s book, Getting Things Done. GTD, as it’s more commonly known, is a system for managing life’s clutter:
GTD® is the shorthand brand for “Getting Things Done®,” the groundbreaking work-life management system by David Allen that provides concrete solutions for transforming overwhelm and uncertainty into an integrated system of stress-free productivity.
GTD is a powerful method to manage commitments, information, and communication. It is the result of thirty years of consulting services, private coaching, training, and organizational programs with millions of people internationally. It has earned a reputation as the gold standard in personal and organizational productivity.
GTD enables greater performance, capacity, and innovation. It alleviates the feeling of overwhelm, instilling focus, clarity, and confidence.
Source: David Allen, Co.
I highly recommend this book, but to give a synopsis, it prescribes a basic strategy: get all the various cruft of life – emails, paperwork, todo items, etc. – and get them into a system that allows you to tackle them strategically.
I had email covered. I didn’t have a ton of paperwork at the time. The only glaringly missing thing was todo management. When I think about it, I’m shocked that I managed to get all my school assignments done; most of the time, I “remembered” them via scraps of paper or, worst of all, in my head. No wonder I was stressed.
I spent almost a year trying to get a handle on a productive todo system. To be truthful, I wasn’t very scientific about it. I tried different methods, different apps, different platforms, but always came back to the same problem: I looking to software to change a behavior issue. I’d added another layer – “todo system” – to my already overflowing todo pile. I gave little thought to organizing this information; everything was highly important and due “right now.” When I failed to do what I’d set out to, I’d simply defer it to the next day and hope for the best.
Post-Grad School and No Real Answer
I somehow graduated and found myself a great job. But my system for managing the things (both personal and professional) that I wanted to get done was in shambles. I knew that I wouldn’t survive unless I started getting this mess under control.
My system in those days was crude. I reformatted it several times over the course of two years, trying more methodologies, more apps, more styles, etc. Finally, through toil and sweat, I arrived at a GTD-esque implementation that works well. It will most certainly continue to grow, but it has finally allowed me to enjoy a state of productivity that is both useful and stress-reducing.
My System for Todo Management
A quick note before we begin. My todo system makes use of a specific app: Toodledo. I love it for its flexibility, configurability, and cross-platform compatibility. Covering all of Toodledo would take many posts, so I’m going to gloss over much of the nuts-and-bolts detail; what I share here is the framework for my particular use cases.
There are many GTD apps out there and many of them coerced to do what I prescribe here.
Prerequisites
The Goal
Before diving into the nitty-gritty, let me outline the purpose for this system:
- It should allow me to easily input todos through two primary mechanisms: manual entry and email-based entry.
- It should allow me to distinguish between personal and professional todos.
- It should allow me to distinguish between todos that are doable by me and those that rely on others.
- It should show me todos that I’ve delegated to others and are overdue by 3 days or more.
- It should allow me to define custom searches for todos.
- Most Importantly: it should allow me to focus on only the todos that are (a) due today or overdue, (b) earmarked by me to do today, or (c) delegated to someone else and overdue.
We’re covering a lot of info here. Once we set up the foundation, I’ll show examples of what it looks like in action.
Todos vs. Projects
Before we jump into creating a GTD-based todo management system, it is important to grasp the separation between todos and projects. Toodledo’s website provides a great synopsis:
According to author David Allen, the difference between a project and a todos is that “you don’t actually do a project; you can only do action steps related to it.” A project is something that requires more than one action step to complete.
Source: Toodledo
This is an important concept. You don’t want to jump into your new todo system and have “todos” that are too immense to consider (like “Write my new book”). Break it down into subtasks and you’ll be grateful later.
Step 1: The Fields
Toodledo allows users to attach an enormous amount of metadata (in the form of Fields). Through painful experience, I’ve learned that too much todo detail is as bad as too little; therefore, I’ve whittled down my system to use 7 primary Fields:
I use these Fields for very specific purposes:
- Folder: used to create todo lists (described in Step 2)
- Context: used to define an overall group for a todo (described in Step 3)
- Start Date: used for a special purpose in delegated todos
- Due Date: used to assign a hard due date to a todo
- Due Time: used to assign a hard due time to a todo
- Repeat: used to define a pattern for repeating a todo
- Star: used to define a “next action” todo that I want to focus on
Step 2: The Folders
The first step in our system is to create various lists for todos. I’ve landed on a slight variation of GTD’s suggested lists that is elegant, straightforward, and not overly verbose:
- Ticklers
- Actions
- Projects
- Waiting For/Delegated
- Someday/Maybe
In Toodledo, these lists exist as Folders:
Note that I use incrementing numbers in front of my Folder names; I do this so that I can sort them in the way that I like.
1. Ticklers
Purpose: to hold “soft reminders” (items that I want to appear on a certain date, yet aren’t immediately “next actions”)
A “tickler” is, I think, a hard concept to grasp. David Allen’s description is, I think, a little old-fashioned and not all that clear:
A Tickler File allows you to hold physical reminders of things you want to see or remember–not now, but in the future. It can be an extremely functional tool, allowing you to in effect set up your own post office and “mail” things to yourself for receipt on a designated future date. David Allen has personally used a Tickler File system for years and considers it an indispensable component of his workflow.
Source: David Allen, Co.
Great… What does that mean?
I think that ticklers made more sense in a world where physical inboxes were the primary source of “inflow.” That’s not my world. So, I’ve adapted: ticklers are for “soft reminders.”
Example: if a book is to be released later this year (and I want to remember), I put that item (along with a due date) into my tickler. When the time comes, my system will show that todo to me and I can decide then and there whether I want to do anything about it.
2. Actions
Purpose: to hold “next action” todos
This folder is the workhorse of my todo system. Every todo that I need to check off goes in here. An important note: this Folder has both todos that have hard due dates and those that don’t.
Note that this is where the Star column comes into play. When I want to focus on a todo, I star it. That’s my sign that it’s a “next action” todo that I’m going to focus on completing. This is useful by itself, but becomes especially more useful when applied to my Better Hotlist.
3. Projects
Purpose: to hold projects
I keep a list of todos that are really projects. I do this so I can always have a list of what projects I’m working on. Toodledo allows for subtasks, which makes it (fairly) easy to assign todos to each of these projects.
Because these items are just tasks in Toodledo, I always prefix projects with a “+” symbol (e.g., + My Blog).
4. Waiting/Delegated
Purpose: to hold todos that are waiting on other people
Many times, there are todos that I want to keep an eye on, even if they are no longer doable by me. This Folder (along with some trickery I will describe later) allows me to do just that.
In my case, I use the Start Date field to track when I delegated the todo. This comes in handy later on when applied to my Better Hotlist. Note that I don’t use Due Date for this purpose; I used to, but when delegated todos would take time, they would seem as overdue on my list. That isn’t pleasing.
5. Someday/Maybe
Purpose: to item that are not next actions (too large/complex/off-in-the-distance/etc.), but that I want to think about further
A key point to this Folder is that these items do not have due dates; these are meant for my consideration at some indeterminate point in the future.
Step 3: The Contexts
Contexts in the GTD world are “‘tags’ you put on the items on your next actions lists saying where the action can be done, or what equipment you need to perform it.”
The purpose of a Context is to filter your todos based on where you and what you have available. Going to run an errand? Filter your Contexts to show only Errands todos and you can see any other errands that need to run. Want to get some work done on a plane? Filter your Contexts to show only Computer Without Internet todos.
The possibilities are limitless with Contexts. That said, in my early GTD days, I went overboard: I had Contexts for every possible scenario. Over time, I found that I was adding metadata for metadata’s sake. So, these days, I roll with only two: Personal and Work.
Step 4: Saved Searches
One of Toodledo’s best features, in my opinion, are Saved Searches: customized views of todos that meet certain criteria. These Saved Searches are even synchronized to the iOS Toodledo app. Although the possibilities are limitless, I’m going to focus on the two Saved Searches I use the most.
The Better Hotlist
I previously mentioned that the ideal todo management system would only show me the things I cared about for that day:
- Tasks in my inbox (i.e., todos that haven’t been processed yet)
- Tasks due today (or overdue)
- Tasks I want to work on today, but don’t have hard deadlines
- Delegated todos that are overdue by 3 days or more.
Toodledo goes part of the way by offering the Hotlist, a customizable todo view designed to get you to focus. Unfortunately, it’s a little rigid for my purposes, so I created a Saved Search that makes a better one:
This Saved Search matches todos that meet any of the following criteria:
- Tasks that have been starred (i.e., todos that have been marked by me as “next action”)
- Tasks that have a due date of today
- Tasks that have a due date before yesterday (i.e., todos that are overdue)
- Tasks that have not been assigned to a Folder (this is my “inbox”)
- Tasks that have a Start Date greater than 3 days ago and belong to the 4. Waiting/Delegated folder
This Saved Search is my constant companion; it is open throughout the day.
Next Action Candidates
This Saved Search allows me to have a pool of next actions that are ready for my review:
This Saved Search matches todos that meet all the following criteria:
- Tasks that have not been checked off (might seem silly, but since Toodledo allows you to view completed todos, it’s not)
- Tasks that are not starred (I don’t want to see todos that I’ve already earmarked for action today)
- Tasks that are not in the 1. Ticklers folder
- Tasks that are not in the 1. Waiting/Delegated folder
- Tasks that do not have a “+” in their name (which, as I mentioned before, are what I use to denote projects)
- Tasks that do not have a due date (since those will already be “next action” on that date)
The System in Action
My system is large and has a lot of moving parts. Now that you are associated with them, let’s see how this looks in life. We’ll be starting without any presumptions; this will be an effective blank system.
First, let’s look at the Better Hotlist:
I’ve got 5 todos in the inbox. Let’s process them:
- Pick up apples. This is a todo that I’d like to do, but not necessarily right now. I change its Folder to 2. Actions, and change its Context to Personal.
- Have Bob look into expense reports. I asked Bob to do this on 2/13, so I change its Folder to 4. Waiting/Delegated, change its Context to Work, and set its Start Date to 2/13/2014.
- Call Auntie Gretchen. This is something that I’d like to do today, so I star it, change its Folder to 2. Actions, and change its Context to Personal.
- Pay my credit card. I need to do this on the 17th (and every month on the 17th afterwards). I change its Folder to 2. Actions, change its Context to Personal, set its Due Date to 2/17, and set its Repeat to Monthly.
- Write a book about pickles. This is too large to be a todo; it’s a project. So, I change its Title to + Pickles Book, change its Folder to 3. Projects, and change its Context to Personal.
Once done, I refresh Toodledo by hitting the “r” key:
Bingo! Remembering the rules of the Better Hotlist, I now only see items that I want to see for today.
If we skip ahead to 2/17 (and pretend that we didn’t complete any todos in the meantime), the Better Hotlist looks like this:
Notice how my todo to pay my credit card has appeared; additionally, since the todo for Bob is now more than 3 days “old” it shows up again (as a way of reminding me to look into it).
With these items complete, let’s look at the Next Action Candidates Saved Search:
Remembering that these are items without hard due dates (and thus, are up to my discretion), I choose to install TurboTax, reconcile my Discover statement, and reschedule my haircut to finish off the day. I simply star them and go back to the Better Hotlist:
Clean, fresh, and stress-free!
Benefits of the System
When I think about this system, I get seriously giddy. Here’s why:
- I don’t have to remember things in my head. What do I need to do tomorrow? Did Bob answer my expense report question? When do I need to pick up the dry cleaning? These are all irrelevant questions; the system tracks it for me.
- It allows me to track the things I need to do and the things I’m waiting on others to do. Nothing slips through the cracks.
- No more random scraps of paper, random Notepad files, or any other random list.
- My sleep has improved since implementing this. Seriously. There’s something to be said for getting stuff out of your head.
Ready?
A good todo system may take a bit more than a good email system. That’s okay; it’s going to that important. Take some time and play around. You may find a completely different system than this one; as long as it gives you stress-free productivity, you’re golden.
Let me know how it goes!


 A recent surge in the use of Convolutional Neural Networks for image classification has lead to lots of data and network parameters being released. We experiments studies done by engineers at Google who reversed the optimization problem in the network and were able to achieve novel imaging effects.
Photo credit UC creative website
The neural network process one layer at a time, and it learns by comparing the classification of each layer with the known actual classification. The errors from the initial classification of the first record is fed back into the network, and used to modify the networks algorithm for further iterations.
Networks we Used
We conducted many exeperments


To address the recent events regarding social disparities and injustices, the duckHacks team has put together a hackathon to encourage solutions in four main tracks:
Create tools to actively help participants of social rallies, protests, or apps people can use on a day-to-day basis to promote accountability.
Find creative new ways for people to donate money to a good cause, and to make sure support goes to the right places.
Teach the masses about problems Black and Brown communities face in America in new ways, whether it be with visualized data or new styles only possible with technology.
With the COVID-19 pandemic hitting Black and Brown communities especially hard, create solutions oriented at them to alleviate working in our new reality.
This world is as connected as ever, where information distribution and connectivity, when used the right way, can contribute to a more egalitarian society. Create those solutions here!
Have that idea that you never got around to making a project out of? Do you think you have a solution to a problem, but don't know where to start? duckHacks is the perfect environment for executing that project, where talented hackers partner up with bright-eyed thinkers to implement new and exciting solutions.
Winning projects will be recognized by our sponsors and local organizations, and can be integrated into real-world scenarios, having tangible effects in everyday lives.
In each of our four categories, winners will get to donate $200 to their charity of choice, investing in good causes we all believe in.
Days Of Hacking
Hackers
Dollars to Charity
Company Sponsored Workshops
duckHack for social good will be held online in our discord server, between August 13-17.
$0. It's free!
That's ok! We have interactive workshops to get you started, and remember you will have teammates that will be there to support you through the process.
Yes there is! The theme can be found under the home tab in the navigation bar.
You can go solo, or be part of a team (maximum size of 4). You can come with your team, or we can assign you to one when you arrive at your request! This will be a great opportunity to meet new people and make new friends.
Anyone can! This event is open to all so that anyone who is interested in developing a project for social good can do so.
A hackathon is an event where people come together to solve a problem through programming and design. What's the best part of it all? You get to choose what problem you want to solve -- the options are endless!
Have more questions? E-mail us at: stevensduckhacks@gmail.com


The tuple/as_args.h
header defines a macro used to convert a tuple to a representation suitable for use as an argument list.
#include <chaos/preprocessor/tuple/as_args.h>
The CHAOS_PP_TUPLE_AS_ARGS
macro converts its argument to a representation suitable for use as an argument list.
CHAOS_PP_TUPLE_AS_ARGS
(tuple)
The tuple to be converted.
If tuple is nil, this macro expands to ()
.
Otherwise, it expands to tuple.
This macro operates on the nil tuple representation used by the core tuple operations defined in <chaos/preprocessor/tuple/core.h>
.
Specifically, ()
is a one-element tuple, not a zero-element tuple.
#include<chaos/preprocessor/config.h>
#include<chaos/preprocessor/recursion/expr.h>
#include<chaos/preprocessor/tuple/as_args.h>
#include<chaos/preprocessor/tuple/size.h>
#ifCHAOS_PP_VARIADICS
#define APPLY(prefix, tuple) \CHAOS_PP_CAT
(prefix,CHAOS_PP_TUPLE_QUICK_SIZE
(tuple)) \CHAOS_PP_TUPLE_AS_ARGS
(tuple) \ /**/ #define MACRO_0() #define MACRO_1(a) a #define MACRO_2(a, b) a * b #define MACRO_3(a, b, c) a * b * c #define MACRO(args)CHAOS_PP_EXPR
(APPLY(MACRO_, args)) MACRO() // MACRO((1)) // 1 MACRO((1, 2)) // 1 * 2 #endif
The CHAOS_PP_TUPLE_AS_ARGS_ID
macro indirectly expands to CHAOS_PP_TUPLE_AS_ARGS
.
CHAOS_PP_TUPLE_AS_ARGS_ID
()
This macro effectively allows CHAOS_PP_TUPLE_AS_ARGS
to pass through itself without becoming disabled.
The CHAOS_PP_TUPLE_AS_ARGS_
macro expands to a λ expression representing CHAOS_PP_TUPLE_AS_ARGS
.
CHAOS_PP_TUPLE_AS_ARGS_
This macro is a shorthand form of the following λ binding:


What do you need help with?
Selling services
For support selling your services, for example, updating your prices, email<EMAIL_ADDRESS>Buying services
Get help choosing how to buy
Ask the buying community on Slack #buying-things.
Check wether your department has a dedicated commissioning team.
Contact<EMAIL_ADDRESS>For support buying services, for example, evaluating suppliers, email<EMAIL_ADDRESS>Creating and updating an account
To make changes to your user account, for example, if you have trouble logging in, email: enquiries@digitalmarketplace.service.gov.uk


{% load l10n %} {% comment %} Override Wagtail’s https://github.com/wagtail/wagtail/blob/3134ffa119c15097c8b3c2a0422dd89f7c23304a/wagtail/admin/templates/wagtailadmin/pages/listing/_page_title_choose.html, only to add a single `data-slug` attribute so it can be used by the page chooser UI. {% endcomment %}


In this project I used the Kaggle Customer Churn data to determine whether the customer will churn (leave the company) or not. I split the kaggle training data into train and test (80%/20%) and fitted the models using train data and evaluated model results in test data.
I used mainly the semi automatic learning module pycaret
for this project.
I also used usual boosting modules (xgboost,lightgbm,catboost
) and regular
sklearn models.
In real life the cost of misclassifying leaving customer and not-leaving customer is different. In this project I defined the PROFIT metric as following:
profit = +$400 for TP : incentivize the customer to stay, and sign a new contract.
profit = 0 for TN : nothing is lost
profit = -$100 for FP : marketing and effort used to try to retain the user
profit = -$200 for FN : revenue lost from losing a customer
TP = true positive
FP = false positive
FN = false negative
After testing various models with extensive feature engineering, I found that the xgboost algorithm gave the best profit.
TotalCharges
with 0.SeniorCitizen + Dependents
.TotalCharges
per Contract
.yeo-johnson
transformers instead of standard scaling since the numerical features were not normal. Accuracy Precision Recall F1-score AUC
LR 0.4450 0.3075 0.8717 0.4547 0.5812
Predicted
Predicted-noChurn Predicted-Churn 0 1
Original no-Churn [[301 734] TN FP
Original Churn [ 48 326]] FN TP
Let's make following assumptions
TP = +$400
TN = 0
FP = -$100
FN = -$200
profit = tn*0 + fp*(-100) + fn*(-200) + tp*400
= 400*tp - 200*fn - 100*fp
tn,fp,fn,tp = confusion_matrix(y_true,y_pred)
LAST+ 2ndrow 1strow
profit = 400*326 - 200*48 - 100*734
= 47400
============================ LogisticRegressoinCV======================
Accuracy Precision Recall F1-score AUC
LRCV 0.7367 0.5024 0.8396 0.6286 0.7695
[[724 311]
[ 60 314]]
profit = 82,500
--------------------------------- xgboost -------------------------------
Accuracy Precision Recall F1-score AUC
xgboost 0.7097 0.4749 0.8850 0.6181 0.7657
[[669 366]
[ 43 331]]
Profit = $87,200
--------------------------------- lightgbm ------------------------------
Accuracy Precision Recall F1-score AUC profit
lgb+hyperband 0.7069 0.4651 0.6952 0.5573 0.7031 $51,300
lgb+hyperopt 0.64088 0.419903 0.925134 0.577629 0.731649 $85,000
I did a lot of hyperparameter tuning of lgb with hyperopt for multiple days.
I got following results
5-foldCV TestProfit
params_lgb1 68,900 83,000
params_lgb2 69,340 82,700
params_lgb3 69,420 87,900 ** This has largest test profit, but less cv
params_lgb4 69,480 85,000 ** We never see the test data, we only see train data
So, we must choose the parameters with highest cross validation score.
Here params_lgb4 gives higher profit than params3, this means it is possible to
get higher score but we need to get it along with higher validation score.
We can try about 10k hyperopt trials but so far I have tried only upto 5k trials.
Note about hyperopt:
When I dumped the hyperopt trial to a file and load again and used in hyperopt
then, it gave me the same results in microseconds even if I run further thousands
of trials. This means using old trials does not work. Always use new trials but
we can pickle dump it so that we can see the trials history.
--------------------------------- catboost -------------------------------
Accuracy Precision Recall F1-score AUC
catboost+optuna 0.6955 0.4618 0.8877 0.6075 0.7569
[[648 387]
[ 42 332]]
profit = $85,700
MCC and LogLoss
.tune-sklearn
algorithm to tune logistic regression.
Pycaret Logistic Regression
==============================================================
Accuracy Precision Recall F1-score AUC
pycaret_lr 0.7509 0.5199 0.8021 0.6309 0.7673
[[758 277]
[ 74 300]]
profit = 400*300 - 200*74 - 100*277
= 77,500
Pycaret Naive Bayes
==============================================================
Accuracy Precision Recall F1-score AUC
pycaret_nb 0.7296 0.4943 0.8102 0.6140 0.7553
[[725 310]
[ 71 303]]
profit = 400*303 - 200*71 - 100*310
= 76,000
Pycaret Xgboost (Takes long time, more than 1 hr)
===============================================================
Accuracy Precision Recall F1-score AUC
pycaret_xgboost 0.7601 0.5342 0.7513 0.6244 0.7573
[[790 245]
[ 93 281]]
profit = 400*281 - 200*93 - 100*245
= 69,300
Pycaret LDA (Takes medium time, 5 minutes)
================================================================
- Used polynomial features and fix imbalanced data.
Accuracy Precision Recall F1-score AUC
pycaret_lda 0.7062 0.4704 0.8503 0.6057 0.7522
[[677 358]
[ 56 318]]
profit = 400*318 - 200*56 - 100*358
= 80,200
Accuracy Precision Recall F1-score AUC
evalml 0.7977 0.6369 0.5535 0.5923 0.7197
[[917 118]
[167 207]]
profit = 400*207 - 200*167 - 100*118
= 37,600
customerID
and gender
.TotalCharges
with 0.class_weight
parameter to deal with imbalanced data.GridSearchCV
Model parameters
{'activation': 'sigmoid',
'batch_size': 128,
'epochs': 30,
'n_feats': 43,
'units': (45, 30, 15)}
NOTE: The result changes each time even if I set SEED for everything.
Accuracy Precision Recall F1-score AUC
keras 0.6849 0.4422 0.7166 0.5469 0.6950
[[697 338]
[106 268]]
profit = 400*268 - 200*106 - 100*338
= 52,200
This is a imbalanced binary classification.
The useful metrics are F2-score and Recall.
AUC is useful only when dataset is balanced.
F1 is useful when precision and recall is equally important.
Here I defined a custom metric "profit" based on confusion matrix elements.
- Logistic regression cv algorithm gave me the best profit.
- I used custom feature engineering of the data.
- SMOTE oversampling gave worse result than no resampling.
(note: I have used class_weight='balanced')
- Elasticnet penalty gave worse result than l2 penalty.
- Make custom loss scorer instead of default scoring such as f1,roc_auc,recall.
Profit = 400*TP - 200*FN - 100*FP
TP = +$400 ==> incentivize the customer to stay, and sign a new contract.
TN = 0
FP = -$100 ==> marketing and effort used to try to retain the user
FN = -$200 ==> revenue lost from losing a customer
Some Notes about comparing models:
- We should never directly compare test dataset, we may simply overfit the test
data. It's like training test data and overfitting by best hyperparams.
- We should compare validation splits and validation splits must have very small
standard deviation, then, after we get hyperparams from training/validation,
we use these hyperparams to see how it does in test.
We can not change hyperparameter based on test results, but we can change
based on validation results.
- Here I have reported the test profit, but for model comparison we can report
cross-validation profit.
Accuracy Precision Recall F1-score AUC Profit
-------------------------------------------------------------------------------
xgboost 0.7097 0.4749 0.8850 0.6181 0.7657 $87,200
catboost+optuna 0.6955 0.4618 0.8877 0.6075 0.7569 $85,700
lgb+hyperopt 0.64088 0.419903 0.925134 0.577629 0.731649 $85,000
LRCV 0.7367 0.5024 0.8396 0.6286 0.7695 $82,500
pycaret_lda 0.7062 0.4704 0.8503 0.6057 0.752200 $80,200
pycaret_lr 0.750887 0.519931 0.802139 0.630915 0.767253 $77,500
pycaret_nb 0.729595 0.494290 0.810160 0.613982 0.755322 $76,000
pycaret_xgboost 0.760114 0.534221 0.751337 0.624444 0.757311 $69,300
keras 0.684883 0.442244 0.716578 0.546939 0.695004 $52,200
lgb+hyperband 0.7069 0.4651 0.6952 0.5573 0.7031 $51,300
LR 0.444996 0.307547 0.871658 0.454672 0.581240 $47,400
evalml 0.7977 0.6369 0.5535 0.5923 0.719700 $37,600
lgb+optuna 0.7473 0.5262 0.4840 0.5042 0.6632 $17,500


This dialog window appears after clicking the Set public parameters button from within the Diffie-Hellman Demonstration.
The dialog prompts you to insert the public parameters of the Diffie-Hellman key exchange protocol.
Please insert the prime module p first because the verification of the generator g directly depends on the prime module.
You need to bear in mind that the use of a selv selected prime module, especially if it's not prime could weaken the security of the proceeding. Thus, push the button Generate Prime if you want CrypTool to generate a safe prime.
Furthermore, please notice that the bit length of the prime module is an essential aspect concerning the security of the proceeding. However, for demonstration purposes insecure values are certainly acceptable.
You can also let CrypTool create a generator (also called primitve root) if you push the button Create Generator. If you rather would choose a number g for yourself, please bear in mind that cannot guarantee the generator property. Please do not select for g one of the following numbers
They also restrict the security of the proceeding.
The button Accept parameters closes the dialog and leads you to the next step of the protocol.


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We use two types of cookie. You can choose which cookies you're happy for us to use.
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hunch_net hunch_net-2005 hunch_net-2005-145 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
sentIndex sentText sentNum sentScore
1 Many different paper deadlines are coming up soon so I made a little reference table. [sent-1, score-0.734]
2 Out of curiosity, I also computed the interval between submission deadline and conference. [sent-2, score-0.879]
wordName wordTfidf (topN-words)
[('pittsburgh', 0.363), ('interval', 0.327), ('january', 0.265), ('july', 0.259), ('june', 0.259), ('march', 0.24), ('location', 0.24), ('deadline', 0.199), ('curiosity', 0.196), ('northeastern', 0.196), ('philadelphia', 0.196), ('computed', 0.182), ('august', 0.139), ('february', 0.135), ('deadlines', 0.135), ('submission', 0.135), ('winner', 0.132), ('date', 0.129), ('soon', 0.129), ('reference', 0.124), ('aaai', 0.122), ('looks', 0.118), ('coming', 0.111), ('uai', 0.106), ('kdd', 0.1), ('colt', 0.081), ('far', 0.077), ('big', 0.072), ('made', 0.069), ('little', 0.069), ('conference', 0.066), ('us', 0.064), ('icml', 0.061), ('year', 0.059), ('different', 0.05), ('paper', 0.047), ('like', 0.039), ('also', 0.036), ('many', 0.024)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999994 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
2 0.34763205 11 hunch net-2005-02-02-Paper Deadlines
Introduction: Itâ€™s conference season, and smell of budding papers is in the air. IJCAI 2005 , January 21 COLT 2005 , February 2 KDD 2005 , February 18 ICML 2005 , March 8 UAI 2005 , March 16 AAAI 2005 , March 18
3 0.29824516 387 hunch net-2010-01-19-Deadline Season, 2010
Introduction: Many conference deadlines are coming soon. Deadline Double Blind / Author Feedback Time/Place ICML January 18((workshops) / February 1 (Papers) / February 13 (Tutorials) Y/Y Haifa, Israel, June 21-25 KDD February 1(Workshops) / February 2&5 (Papers) / February 26 (Tutorials & Panels)) / April 17 (Demos) N/S Washington DC, July 25-28 COLT January 18 (Workshops) / February 19 (Papers) N/S Haifa, Israel, June 25-29 UAI March 11 (Papers) N?/Y Catalina Island, California, July 8-11 ICML continues to experiment with the reviewing process, although perhaps less so than last year. The S “sort-of” for COLT is because author feedback occurs only after decisions are made. KDD is notable for being the most comprehensive in terms of {Tutorials, Workshops, Challenges, Panels, Papers (two tracks), Demos}. The S for KDD is because there is sometimes author feedback at the decision of the SPC. The (past) January 18 de
4 0.29184899 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
5 0.27146623 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 â€“ August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
6 0.26476753 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
7 0.25058186 331 hunch net-2008-12-12-Summer Conferences
8 0.22502522 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
9 0.22382835 184 hunch net-2006-06-15-IJCAI is out of season
10 0.22020313 66 hunch net-2005-05-03-Conference attendance is mandatory
11 0.15395688 357 hunch net-2009-05-30-Many ways to Learn this summer
12 0.15255541 71 hunch net-2005-05-14-NIPS
13 0.14955753 452 hunch net-2012-01-04-Why ICML? and the summer conferences
14 0.14669032 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
15 0.14575297 470 hunch net-2012-07-17-MUCMD and BayLearn
16 0.13271001 289 hunch net-2008-02-17-The Meaning of Confidence
17 0.12064557 273 hunch net-2007-11-16-MLSS 2008
18 0.11745304 130 hunch net-2005-11-16-MLSS 2006
19 0.11705105 174 hunch net-2006-04-27-Conferences, Workshops, and Tutorials
20 0.11216854 92 hunch net-2005-07-11-AAAI blog
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same-blog 1 0.98843253 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
2 0.86058784 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
3 0.80768734 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
Introduction: It’s conference season once again. Conference Due? When? Where? double blind? author feedback? Workshops? AAAI February 1/6 (and 27) July 22-26 Vancouver, British Columbia Yes Yes Done UAI February 28/March 2 July 19-22 Vancouver, British Columbia No No No COLT January 16 June 13-15 San Diego, California (with FCRC ) No No No ICML February 7/9 June 20-24 Corvallis, Oregon Yes Yes February 16 KDD February 23/28 August 12-15 San Jose, California Yes No? February 28 The geowinner this year is the west coast of North America. Last year ‘s geowinner was the Northeastern US, and the year before it was mostly Europe. It’s notable how tightly the conferences cluster, even when they don’t colocate.
4 0.78799272 11 hunch net-2005-02-02-Paper Deadlines
Introduction: Itâ€™s conference season, and smell of budding papers is in the air. IJCAI 2005 , January 21 COLT 2005 , February 2 KDD 2005 , February 18 ICML 2005 , March 8 UAI 2005 , March 16 AAAI 2005 , March 18
5 0.72780561 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
6 0.70007378 184 hunch net-2006-06-15-IJCAI is out of season
7 0.6954723 17 hunch net-2005-02-10-Conferences, Dates, Locations
8 0.67106909 387 hunch net-2010-01-19-Deadline Season, 2010
9 0.62877703 66 hunch net-2005-05-03-Conference attendance is mandatory
10 0.60901672 331 hunch net-2008-12-12-Summer Conferences
11 0.52173632 130 hunch net-2005-11-16-MLSS 2006
12 0.51422322 470 hunch net-2012-07-17-MUCMD and BayLearn
13 0.40784481 242 hunch net-2007-04-30-COLT 2007
14 0.40629482 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
15 0.39607516 357 hunch net-2009-05-30-Many ways to Learn this summer
16 0.36079681 452 hunch net-2012-01-04-Why ICML? and the summer conferences
17 0.30139896 326 hunch net-2008-11-11-COLT CFP
18 0.29538572 356 hunch net-2009-05-24-2009 ICML discussion site
19 0.291201 273 hunch net-2007-11-16-MLSS 2008
20 0.28524351 174 hunch net-2006-04-27-Conferences, Workshops, and Tutorials
topicId topicWeight
[(53, 0.594), (55, 0.214), (75, 0.04)]
simIndex simValue blogId blogTitle
same-blog 1 0.99213278 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
2 0.92856443 107 hunch net-2005-09-05-Site Update
Introduction: I tweaked the site in a number of ways today, including: Updating to WordPress 1.5. Installing and heavily tweaking the Geekniche theme. Update: I switched back to a tweaked version of the old theme. Adding the Customizable Post Listings plugin. Installing the StatTraq plugin. Updating some of the links. I particularly recommend looking at the computer research policy blog. Adding threaded comments . This doesn’t thread old comments obviously, but the extra structure may be helpful for new ones. Overall, I think this is an improvement, and it addresses a few of my earlier problems . If you have any difficulties or anything seems “not quite right”, please speak up. A few other tweaks to the site may happen in the near future.
3 0.90037531 16 hunch net-2005-02-09-Intuitions from applied learning
Introduction: Since learning is far from an exact science, it’s good to pay attention to basic intuitions of applied learning. Here are a few I’ve collected. Integration In Bayesian learning, the posterior is computed by an integral, and the optimal thing to do is to predict according to this integral. This phenomena seems to be far more general. Bagging, Boosting, SVMs, and Neural Networks all take advantage of this idea to some extent. The phenomena is more general: you can average over many different classification predictors to improve performance. Sources: Zoubin , Caruana Differentiation Different pieces of an average should differentiate to achieve good performance by different methods. This is know as the ‘symmetry breaking’ problem for neural networks, and it’s why weights are initialized randomly. Boosting explicitly attempts to achieve good differentiation by creating new, different, learning problems. Sources: Yann LeCun , Phil Long Deep Representation Ha
4 0.88837087 56 hunch net-2005-04-14-Families of Learning Theory Statements
Introduction: The diagram above shows a very broad viewpoint of learning theory. arrow Typical statement Examples Past->Past Some prediction algorithm A does almost as well as any of a set of algorithms. Weighted Majority Past->Future Assuming independent samples, past performance predicts future performance. PAC analysis, ERM analysis Future->Future Future prediction performance on subproblems implies future prediction performance using algorithm A . ECOC, Probing A basic question is: Are there other varieties of statements of this type? Avrim noted that there are also “arrows between arrows”: generic methods for transforming between Past->Past statements and Past->Future statements. Are there others?
5 0.86444473 91 hunch net-2005-07-10-Thinking the Unthought
Introduction: One thing common to much research is that the researcher must be the first person ever to have some thought. How do you think of something that has never been thought of? There seems to be no methodical manner of doing this, but there are some tricks. The easiest method is to just have some connection come to you. There is a trick here however: you should write it down and fill out the idea immediately because it can just as easily go away. A harder method is to set aside a block of time and simply think about an idea. Distraction elimination is essential here because thinking about the unthought is hard work which your mind will avoid. Another common method is in conversation. Sometimes the process of verbalizing implies new ideas come up and sometimes whoever you are talking to replies just the right way. This method is dangerous though—you must speak to someone who helps you think rather than someone who occupies your thoughts. Try to rephrase the problem so the a
6 0.86170334 2 hunch net-2005-01-24-Holy grails of machine learning?
7 0.83979297 367 hunch net-2009-08-16-Centmail comments
8 0.75326174 6 hunch net-2005-01-27-Learning Complete Problems
9 0.70064962 21 hunch net-2005-02-17-Learning Research Programs
10 0.65958148 292 hunch net-2008-03-15-COLT Open Problems
11 0.65507013 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
12 0.59880364 17 hunch net-2005-02-10-Conferences, Dates, Locations
13 0.59693956 151 hunch net-2006-01-25-1 year
14 0.59400535 305 hunch net-2008-06-30-ICML has a comment system
15 0.58892447 265 hunch net-2007-10-14-NIPS workshp: Learning Problem Design
16 0.57595134 331 hunch net-2008-12-12-Summer Conferences
17 0.57223231 66 hunch net-2005-05-03-Conference attendance is mandatory
18 0.56178701 141 hunch net-2005-12-17-Workshops as Franchise Conferences
19 0.55366802 11 hunch net-2005-02-02-Paper Deadlines
20 0.54690111 356 hunch net-2009-05-24-2009 ICML discussion site


{{< layout}} {{$pageTitle}}Children Acts{{/pageTitle}} {{$propositionHeader}}{{/propositionHeader}} {{$header}}
If you're a social worker applying for a child under the care of social services you need to send evidence to prove your responsibility for the child.
The care orders and the relevant Children Act that they come under in England, Wales, Northern Ireland and Scotland.
Contact the Passport Adviceline if you aren’t sure what documents you need or if your circumstances are more complicated.
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I am a Frontend Developer with 5 years of experience, most of them in agency (LOLA MullenLowe).
I feel comfortable in creative environments - I am used to working with Art Directors, Account Executives, dogs and Copywriters. My main objective - and biggest challenge - is keeping the original idea clean while fighting with the reality of the internet to find the best options for every project.
On a regular day I develop microsites, newsletters and animated HTML5 banners (usually served through Sizmek and DoubleClick).
On a special day I support the creative process behind awesome campaings, so awesome that many of them have even received prestigious advertisng awards in industry festivals such as Cannes Lions, El Ojo (Latin America) o El Sol (Spain).
My favourite tools are Less, Atom, Photoshop and Illustrator in a GIT environment to code safely and happily.
I love code, creativity, design and the little spaces outside of the box between them.
I’m fluent with HTML, CSS, LESS, SASS, JS Vanilla and Jquery, here you can see some of my personal favourites, most of them coded in Lola.
Many of them awarded in Cannes Lions,El Ojo and El Sol
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addAlias(String, String)
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This section provides answers to frequently asked questions associated with the NVIDIA Linux x86_64 Driver and its installation. Common problem diagnoses can be found in Chapter 8, Common Problems and tips for new users can be found in Appendix I, Tips for New Linux Users. Also, detailed information for specific setups is provided in the Appendices.
7.1. NVIDIA-INSTALLER |
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How do I extract the contents of the |
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Run the installer as follows: # sh NVIDIA-Linux-x86_64-460.27.04.run --extract-only This will create the directory NVIDIA-Linux-x86_64-460.27.04,
containing the uncompressed contents of the |
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How can I see the source code to the kernel interface layer? |
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The source files to the kernel interface layer are in the kernel directory of the extracted .run file. To get to these sources, run: # sh NVIDIA-Linux-x86_64-460.27.04.run --extract-only # cd NVIDIA-Linux-x86_64-460.27.04/kernel/ |
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How and when are the NVIDIA device files created? |
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When a user-space NVIDIA driver component needs to communicate with the NVIDIA kernel module, and the NVIDIA character device files do not yet exist, the user-space component will first attempt to load the kernel module and create the device files itself. Device file creation and kernel module loading generally require root privileges. The X driver, running within a setuid root X server, will have these privileges, but not, e.g., the CUDA driver within the environment of a normal user. If the user-space NVIDIA driver component cannot load the kernel module or create the device files itself, it will attempt to invoke the setuid root nvidia-modprobe utility, which will perform these operations on behalf of the non-privileged driver. See the nvidia-modprobe(1) man page, or its source code, available here: https://download.nvidia.com/XFree86/nvidia-modprobe/ When possible, it is recommended to use your Linux distribution's native mechanisms for managing kernel module loading and device file creation. nvidia-modprobe is provided as a fallback to work out-of-the-box in a distribution-independent way. Whether a user-space NVIDIA driver component does so itself, or invokes nvidia-modprobe, it will default to creating the device files with the following attributes: UID: 0 - 'root' GID: 0 - 'root' Mode: 0666 - 'rw-rw-rw-' Existing device files are changed if their attributes don't match these defaults. If you want the NVIDIA driver to create the device files with different attributes, you can specify them with the "NVreg_DeviceFileUID" (user), "NVreg_DeviceFileGID" (group) and "NVreg_DeviceFileMode" NVIDIA Linux kernel module parameters. For example, the NVIDIA driver can be instructed to create device files with UID=0 (root), GID=44 (video) and Mode=0660 by passing the following module parameters to the NVIDIA Linux kernel module: NVreg_DeviceFileUID=0 NVreg_DeviceFileGID=44 NVreg_DeviceFileMode=0660 The "NVreg_ModifyDeviceFiles" NVIDIA kernel module parameter will disable dynamic device file management, if set to 0. |
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Why does NVIDIA not provide RPMs? |
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Not every Linux distribution uses RPM, and NVIDIA provides a single solution that works across all Linux distributions. NVIDIA encourages Linux distributions to repackage and redistribute the NVIDIA Linux driver in their native package management formats. These repackaged NVIDIA drivers are likely to inter-operate best with the Linux distribution's package management technology. For this reason, NVIDIA encourages users to use their distribution's repackaged NVIDIA driver, where available. |
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What is the significance of the |
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To distinguish between Linux-x86_64 driver package files that do
or do not also contain 32-bit compatibility libraries,
"-no-compat32" is be appended to the latter. |
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Can I add my own precompiled kernel interfaces to a
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Yes, the |
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Where can I find the source code for the |
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The |
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7.2. NVIDIA Driver |
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Where should I start when diagnosing display problems? |
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One of the most useful tools for diagnosing problems is the X
log file in (==) Using config file: Also make sure that the NVIDIA driver is being used, rather than another driver. Search for (II) LoadModule: "nvidia" Lines from the driver should begin with: (II) NVIDIA(0) |
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How can I increase the amount of data printed in the X log file? |
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By default, the NVIDIA X driver prints relatively few messages
to stderr and the X log file. If you need to troubleshoot, then it
may be helpful to enable more verbose output by using the X command
line options % startx -- -verbose 5 -logverbose 5 |
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What is NVIDIA's policy towards development series Linux kernels? |
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NVIDIA does not officially support development series kernels.
However, all the kernel module source code that interfaces with the
Linux kernel is available in the |
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Where can I find the tarballs? |
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Plain tarballs are not available. The |
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How do I tell if I have my kernel sources installed? |
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If you are running on a distro that uses RPM (Red Hat, Mandriva, SuSE, etc), then you can use rpm to tell you. At a shell prompt, type: % rpm -qa | grep kernel and look at the output. You should see a package that corresponds to your kernel (often named something like kernel-2.6.15-7) and a kernel source package with the same version (often named something like kernel-devel-2.6.15-7). If none of the lines seem to correspond to a source package, then you will probably need to install it. If the versions listed mismatch (e.g., kernel-2.6.15-7 vs. kernel-devel-2.6.15-10), then you will need to update the kernel-devel package to match the installed kernel. If you have multiple kernels installed, you need to install the kernel-devel package that corresponds to your running kernel (or make sure your installed source package matches the running kernel). You can do this by looking at the output of uname -r and matching versions. |
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What is SELinux and how does it interact with the NVIDIA driver ? |
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Security-Enhanced Linux (SELinux) is a set of modifications
applied to the Linux kernel and utilities that implement a security
policy architecture. When in use it requires that the security type
on all shared libraries be set to 'shlib_t'. The installer detects
when to set the security type, and sets it on all shared libraries
it installs. The option |
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Why does X use so much memory? |
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When measuring any application's memory usage, you must be careful to distinguish between physical system RAM used and virtual mappings of shared resources. For example, most shared libraries exist only once in physical memory but are mapped into multiple processes. This memory should only be counted once when computing total memory usage. In the same way, the video memory on a graphics card or register memory on any device can be mapped into multiple processes. These mappings do not consume normal system RAM. This has been a frequently discussed topic on XFree86 mailing lists; see, for example: http://marc.theaimsgroup.com/?l=xfree-xpert&m=96835767116567&w=2 The pmap utility described in the above thread is available in the "procps" package shipped with most recent Linux distributions, and is a useful tool in distinguishing between types of memory mappings. For example, while top may indicate that X is using several hundred MB of memory, the last line of output from the output of pmap (note that pmap may need to be run as root): # pmap -d `pidof X` | tail -n 1 mapped: 161404K writeable/private: 7260K shared: 118056K reveals that X is really only using roughly 7MB of system RAM (the "writeable/private" value). Note, also, that X must allocate resources on behalf of X clients (the window manager, your web browser, etc); the X server's memory usage will increase as more clients request resources such as pixmaps, and decrease as you close X applications. |
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Why do applications that use DGA graphics fail? |
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The NVIDIA driver does not support the graphics component of the XFree86-DGA (Direct Graphics Access) extension. Applications can use the XDGASelectInput() function to acquire relative pointer motion, but graphics-related functions such as XDGASetMode() and XDGAOpenFramebuffer() will fail. The graphics component of XFree86-DGA is not supported because it requires a CPU mapping of framebuffer memory. As graphics cards ship with increasing quantities of video memory, the NVIDIA X driver has had to switch to a more dynamic memory mapping scheme that is incompatible with DGA. Furthermore, DGA does not cooperate with other graphics rendering libraries such as Xlib and OpenGL because it accesses GPU resources directly. NVIDIA recommends that applications use OpenGL or Xlib, rather than DGA, for graphics rendering. Using rendering libraries other than DGA will yield better performance and improve interoperability with other X applications. |
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My kernel log contains messages that are prefixed with "Xid"; what do these messages mean? |
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"Xid" messages indicate that a general GPU error occurred, most often due to the driver misprogramming the GPU or to corruption of the commands sent to the GPU. These messages provide diagnostic information that can be used by NVIDIA to aid in debugging reported problems. Some information on how to interpret Xid messages is available here: http://docs.nvidia.com/deploy/xid-errors/index.html |
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My kernel log contains the message "NVRM: Xid (...): 81, VGA Subsystem Error." How can I fix this? |
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In some extreme cases, the VGA console can hang if messages are printed to a legacy VGA text console concurrently with applications that generate high GPU memory traffic. The solution to this problem is to not use a legacy VGA text console. Instead, on capable systems, use pure UEFI mode (not Compatibility Support Module (CSM)). On legacy SBIOS systems, use a framebuffer console such as vesafb. |
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I use the Coolbits overclocking interface to adjust my graphics card's clock frequencies, but the defaults are reset whenever X is restarted. How do I make my changes persistent? |
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Clock frequency settings are not saved/restored automatically by
default to avoid potential stability and other problems that may be
encountered if the chosen frequency settings differ from the
defaults qualified by the manufacturer. You can add an |
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Why is the refresh rate not reported correctly by utilities that use the XF86VidMode X extension and/or RandR X extension versions prior to 1.2 (e.g., `xrandr --q1`)? |
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These extensions are not aware of multiple display devices on a single X screen; they only see the MetaMode bounding box, which may contain one or more actual modes. This means that if multiple MetaModes have the same bounding box, these extensions will not be able to distinguish between them. In order to support dynamic display configuration, the NVIDIA X driver must make each MetaMode appear to be unique and accomplishes this by using the refresh rate as a unique identifier. You can use `nvidia-settings -q RefreshRate` to query the actual refresh rate on each display device. |
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Why does starting certain applications result in Xlib error messages indicating extensions like "XFree86-VidModeExtension" or "SHAPE" are missing? |
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If your X config file has a Xlib: extension "SHAPE" missing on display ":0.0" Xlib: extension "XFree86-VidModeExtension" missing on display ":0.0" Xlib: extension "XFree86-DGA" missing on display ":0.0" You can solve this problem by adding the line below to your X
config file's Load "extmod" |
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Where can I find older driver versions? |
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Please visit https://download.nvidia.com/XFree86/Linux-x86_64/ |
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What is the format of a PCI Bus ID? |
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Different tools have different formats for the PCI Bus ID of a PCI device. The X server's "BusID" X configuration file option interprets the BusID string in the format "bus@domain:device:function" (the "@domain" portion is only needed if the PCI domain is non-zero), in decimal. More specifically, "%d@%d:%d:%d", bus, domain, device, function in printf(3) syntax. NVIDIA X driver logging, nvidia-xconfig, and nvidia-settings match the X configuration file BusID convention. The lspci(8) utility, in contrast, reports the PCI BusID of a PCI device in the format "domain:bus:device.function", printing the values in hexadecimal. More specifically, "%04x:%02x:%02x.%x", domain, bus, device, function in printf(3) syntax. The "Bus Location" reported in the information file matches the lspci format. Also, the name of per-GPU directory in /proc/driver/nvidia/gpus is the same as the corresponding GPU's PCI BusID in lspci format. On systems where both an integrated GPU and a PCI slot are present, setting the "BusID" option to "AXI" selects the integrated GPU. By default, not specifying this option or setting it to an empty string selects a discrete GPU if available, the integrated GPU otherwise. |
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How do I interpret X server version numbers? |
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X server version numbers can be difficult to interpret because some X.Org X servers report the versions of different things. In 2003, X.Org created a fork of the XFree86 project's code base, which used a monolithic build system to build the X server, libraries, and applications together in one source code repository. It resumed the release version numbering where it left off in 2001, continuing with 6.7, 6.8, etc., for the releases of this large bundle of code. These version numbers are sometimes written X11R6.7, X11R6.8, etc. to include the version of the X protocol. In 2005, an effort was made to split the monolithic code base into separate modules with their own version numbers to make them easier to maintain and so that they could be released independently. X.Org still occasionally releases these modules together, with a single version number. These releases are simply referred to as “X.Org releases”, or sometimes “katamari” releases. For example, X.Org 7.6 was released on December 20, 2010 and contains version 1.9.3 of the xorg-server package, which contains the core X server itself. The release management changes from XFree86, to X.Org monolithic
releases, to X.Org modular releases impacted the behavior of the X
server's XFree86 Version 4.3.0 (Red Hat Linux release: 4.3.0-2) Release Date: 27 February 2003 X Protocol Version 11, Revision 0, Release 6.6 X servers in X.Org monolithic and early “katamari” releases did something similar: X Window System Version 7.1.1 Release Date: 12 May 2006 X Protocol Version 11, Revision 0, Release 7.1.1 However, X.Org later modified the X server to start printing its individual module version number instead: X.Org X Server 1.9.3 Release Date: 2010-12-13 X Protocol Version 11, Revision 0 Please keep this in mind when comparing X server versions: what looks like “version 7.x” is older than version 1.x. |
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Why doesn't the NVIDIA X driver make more display resolutions and refresh rates available via RandR? |
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Prior to the 302.* driver series, the list of modes reported to applications by the NVIDIA X driver was not limited to the list of modes natively supported by a display device. In order to expose the largest possible set of modes on digital flat panel displays, which typically do not accept arbitrary mode timings, the driver maintained separate sets of "front-end" and "back-end" mode timings, and scaled between them to simulate the availability of more modes than would otherwise be supported. Front-end timings were the values reported to applications, and back-end timings were what was actually sent to the display. Both sets of timings went through the full mode validation process, with the back-end timings having the additional constraint that they must be provided by the display's EDID, as only EDID-provided modes can be safely assumed to be supported by the display hardware. Applications could request any available front-end timings, which the driver would implicitly scale to either the "best fit" or "native" mode timings. For example, an application might request an 800x600 @ 60 Hz mode and the driver would provide it, but the real mode sent to the display would be 1920x1080 @ 30 Hz. While the availability of modes beyond those natively supported by a display was convenient for some uses, it created several problems. For example:
Version 1.2 of the X Resize and Rotate extension (henceforth referred to as "RandR 1.2") allows configuration of display scaling in a much more flexible and standardized way. The protocol allows applications to choose exactly which (back-end) mode timing is used, and exactly how the screen is scaled to fill that mode. It also allows explicit control over which displays are enabled, and which portions of the screen they display. This also provides much-needed transparency: the mode timings reported by RandR 1.2 are the actual mode timings being sent to the display. However, this means that only modes actually supported by the display are reported in the RandR 1.2 mode list. Scaling configurations, such as the 800x600 to 1920x1080 example above, need to be configured via the RandR 1.2 transform feature. Adding implicitly scaled modes to the mode list would conflict with the transform configuration options and reintroduce the same problems that the previous front-end/back-end timing system had. With the introduction of RandR 1.2 support to the 302.* driver series, the front-end/back-end timing system was abandoned, and the list of mode timings exposed by the NVIDIA X driver was simplified to include only those modes which would actually be driven by the hardware. Although it remained possible to manually configure all of the scaling configurations that were previously possible, and many scaling configurations which were previously impossible, this change resulted in some inconvenient losses of functionality:
Subsequent driver releases restored some of this functionality without reverting to the front-end/back-end system:
As mentioned previously, the RandR 1.2 mode list contains only modes which are supported by the display. Modern applications that wish to set modes other than those available in the RandR 1.2 mode list are encouraged to use RandR 1.2 transformations to program any required scaling operations. For example, the xrandr utility can program RandR scaling transformations, and the following command can scale a 1280x720 mode to a display connected to output DVI-I-0 that does not support the desired mode, but does support 1920x1080: xrandr --output DVI-I-0 --mode 1920x1080 --scale-from 1280x720 |


My job on the website project was to be the manager for the backend team, but I turned into more of a general manager later in the project. My job as the manager was to make sure that the backend team was on track with the project and that they were doing their jobs in addition to answering any questions they had. While we didn't get everything done that we would've hoped, I think it was still a great learning experience for everyone. I learned what it was like to work on a larger GitHub project— utilizing forked repositories and pull requests —and I also learned how to work with different branches. This included learning about the typical branch workflow (Feature -> Development -> Beta -> Production) and how to merge branches. On the actual coding side, there was not much I learned. I already knew the majority of the things that we created during the project, but I did get to do more research into CSS styling which was something I was lacking in. I also got to learn from the pre-existing code that was already in the project, which was a great learning experience— specifically, the JavaScript used to create the dynamic drop downs.


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Contiki 2.5
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This file contains the USB endpoint 0 management routines corresponding to the standard enumeration process (refer to chapter 9 of the USB specification. This file calls routines of the usb_specific_request.c file for non-standard request management. The enumeration parameters (descriptor tables) are contained in the usb_descriptors.c file. More...
#include "config.h"
#include "usb_drv.h"
#include "usb_descriptors.h"
#include "usb_specific_request.h"
#include <string.h>
Go to the source code of this file.
Functions | |
| void | usb_process_request (void) |
| usb_process_request. | |
| void | usb_get_string_descriptor_sram (U8 string_type) |
| void | usb_get_string_descriptor (U8 string_type) |
Variables | |
| U8 | usb_configuration_nb |
| Public : (U8) usb_configuration_nb Store the number of the USB configuration used by the USB device when its value is different from zero, it means the device mode is enumerated Used with USB_DEVICE_FEATURE == ENABLED only /. | |
| bit | usb_connected |
| Public : (bit) usb_connected usb_connected is set to TRUE when VBUS has been detected usb_connected is set to FALSE otherwise Used with USB_DEVICE_FEATURE == ENABLED only /. |
This file contains the USB endpoint 0 management routines corresponding to the standard enumeration process (refer to chapter 9 of the USB specification. This file calls routines of the usb_specific_request.c file for non-standard request management. The enumeration parameters (descriptor tables) are contained in the usb_descriptors.c file.
Definition in file usb_standard_request.c.
| void usb_get_string_descriptor | ( | U8 | string_type | ) |
< don't care of wIndex field
< read wLength
< clear the receive setup flag
< Send data until necessary
< Check endpoint 0 size
abort from Host
Definition at line 330 of file usb_standard_request.c.
References Is_usb_receive_out, TRUE, Usb_ack_receive_out, Usb_ack_receive_setup, Usb_enable_stall_handshake, usb_get_string_descriptor_sram(), Usb_read_byte, Usb_send_control_in, and Usb_write_byte.
| void usb_get_string_descriptor_sram | ( | U8 | string_type | ) |
< don't care of wIndex field
< read wLength
< clear the receive setup flag
< Send data until necessary
< Check endpoint 0 size
abort from Host
Definition at line 244 of file usb_standard_request.c.
References Is_usb_receive_out, TRUE, Usb_ack_receive_out, Usb_ack_receive_setup, Usb_enable_stall_handshake, Usb_read_byte, Usb_send_control_in, and Usb_write_byte.
Referenced by usb_get_string_descriptor().
| void usb_process_request | ( | void | ) |
usb_process_request.
This function reads the SETUP request sent to the default control endpoint and calls the appropriate function. When exiting of the usb_read_request function, the device is ready to manage the next request.
< un-supported request => call to user read request
Definition at line 118 of file usb_standard_request.c.
References CLEAR_FEATURE, Is_usb_receive_setup, SET_FEATURE, Usb_ack_in_ready, Usb_ack_receive_out, Usb_ack_receive_setup, Usb_enable_stall_handshake, Usb_read_byte, Usb_select_endpoint, and usb_user_read_request().
Referenced by usb_mass_storage_csw().