| Markdown | Result |
|---|---|
| This text is **bold**. | This text is bold. |
| This text is *italicized*. | This text is italicized. |
| `This is some code.` |
This is some code.
|
| Markdown | Result |
|---|---|
| # First Header | First Header |
| ## Second Header | Second Header |
| ### Third Header | Third Header |
|
> This is the first level of quoting. >> This is nested blockquote. > Back to the first level. |
This is the first level of quoting.This is nested blockquote.Back to the first level. |
| Link to [Google](http://google.com). | Link to Google. |
| Send me an email at<EMAIL_ADDRESS>| Send me an email at<EMAIL_ADDRESS>|
| ![Small Spark logo](http://assets.smallspark.com.au/images/smallspark-logo.png) |
| Markdown | Result |
|---|---|
|
* Milk * Bread * Cheese * Cheddar * Camembert * Rice |
|
|
1. Milk 2. Bread 3. Cheese 1. Cheddar 2. Camembert 4. Rice |
|


Vue.js: it's neat
A lunch & learn For TWG by Ruhee
What is Vue?
- Yet another JavaScript framework!
- Designed to be incrementally adoptable
- Can be just your view (Vue!) layer, or a powerful single-page app with build process
Why is it awesome?
- Companion libraries developed in tandem
- The docs are great
- Declarative vs imperative
Directives
- HTML attributes with functionality offered by Vue
- v-model: Two-way data binding
- v-if, v-show: Conditional display
- v-for: Easy looping through lists
- v-bind or shorthand :
- v-on or shorthand @
Slots
Named slots
Named slots
Props (simple)
Props (fancy)
Methods
Event emitting
Vuex
- Centralized store for data, logic, etc.
- Flux architecture in Vue
- Integrated seamlessly into Vue applications (store always accessible)
- You can use Redux too!
- (But, like, don't)
Mutations
- Synchronous
- The only way to modify (mutate) state
- These are your reducer functions
Mutations
Actions
- Asynchronous and most familiar from Redux
- Contain business logic
- Commit mutations from inside them
- Good for when you need to do things in a certain order or hit a server
Actions
Other stuff
- The Chrome Vue devtools are great
- Stuff I didn't talk about: Vue CLI, style guide, starter apps (vue-webpack and more)


For years, increasing decentralization has been one of the main objectives of the blockchain industry. While this is a worthy, albeit rather abstract, goal, the word “decentralization” now seems more like a marketing buzzword than it does a design principle or guiding ide...


PROGRESS
Category for progress of a long-running background operation.
See Also
NotificationCompat.CATEGORY_PROGRESS


runtime.schedt.sysmonlock (field)
10 uses
runtime (current package)
proc.go#L602: lockInit(&sched.sysmonlock, lockRankSysmon)
proc.go#L5176: lock(&sched.sysmonlock)
proc.go#L5248: unlock(&sched.sysmonlock)
runtime2.go#L805: sysmonlock mutex
trace.go#L192: lock(&sched.sysmonlock)
trace.go#L203: unlock(&sched.sysmonlock)
trace.go#L275: unlock(&sched.sysmonlock)
trace.go#L289: lock(&sched.sysmonlock)
trace.go#L296: unlock(&sched.sysmonlock)
trace.go#L334: unlock(&sched.sysmonlock)
The pages are generated with Golds v0.2.7-preview. (GOOS=darwin GOARCH=amd64)


Derby County have been linked with these 12 players ahead of January transfer window
Latest Derby County transfer news | A regularly updated list of all the players linked with a move to Pride Park ahead of the fast-approaching January transfer window
by Chris WatsonDerby County have been linked with a number of players as the January transfer window edges ever closer.
Manager Phillip Cocu could look to further bolster his squad during the first month of 2020, having already secured the services of former England star Wayne Rooney as player-coach.
Will there be more new arrivals at Pride Park to give the team a lift going into the second half of the campaign?
We have put together a regularly updated list of all the players tipped to sign for Derby.
Derby County on social media
If you want to follow all things Derby County via social media then this is the place to find out how.
Transfers, injuries, match-day videos and photos and the thoughts of the manager and his players, we’ve got you covered.
We’ll be bringing the very latest on the Rams throughout the week and around the clock.
Make sure you keep yourself updated with our social media accounts...
The Rams on social media...
Facebook: News, debate and nostalgia
Twitter: All the latest Rams news as it happens
For all your latest DCFC news, opinion, analysis and transfer gossip, click here
You can follow our Rams reporter Steve Nicholson on Twitter and his email address is<EMAIL_ADDRESS>Take a look below...
Asmir Begovic
Derby County have been linked with a move for experienced goalkeeper Asmir Begovic.
The 32-year-old stopper is currently playing for Qarabag in Azerbaijan, on loan from Bournemouth.
According to The Sun, Derby are monitoring the situation but face competition from West Ham United, Birmingham City and Rams boss Phillip Cocu's old club PSV Eindhoven.
Begovic has two-and-a-half years left to run on his current contract at Bournemouth, which is said to be worth £60,000 a week.
His loan spell is due to expire at the end of this month and he is apparently "keen to join a new club, on either a temporary or permanent basis".
Scott Sinclair
Derby County are being linked with a January move for Celtic winger Scott Sinclair.
The Rams were said to be considering a deadline-day move for Sinclair back in August, before they secured a season-long loan deal for Bristol City's Jamie Paterson.
Sinclair remained at the Scottish champions, for whom he scored 17 goals in 55 appearances last season.
But the ex-Swansea City and Aston Villa man has made just six appearances in all competitions Neil Lennon's side in 2019-20 - and Football Insider are now reporting that the Rams are considering a January deal for the 30-year-old.
Sinclair is out of contract at Celtic in the summer.
Luke McCowan
Derby County have been linked with a move for young Scottish attacking midfielder Luke McCowan.
The Rams and Sky Bet Championship rivals Cardiff City are closely monitoring the Ayr United prospect, according to Football Insider.
The report also claims that an unnamed Premier League is keeping tabs on the player.
Cameron Dawson
A number of Championship clubs including Derby County are keeping an eye on Sheffield Wednesday goalkeeper Cameron Dawson.
Blackburn Rovers and Preston North End are also believed to be keen, as are Scottish club Rangers, according to the Sheffield Star.
Dawson's current contract is up at the end of this season.
Sam Cosgrove
Sam Cosgrove has been catching the eye with his goalscoring exploits in Scotland this season.
The 22-year-old has netted 18 goals in only 23 appearances for Scottish Premiership side Aberdeen, to add to his tally of 21 from last term.
That form is said to have attracted the attention of several Championship clubs, including Derby County, Middlesbrough, Brentford and Charlton.
It has not all been plain sailing for Cosgrove, though.
Kyle Dempsey
Derby County have been linked with Fleetwood Town central midfielder Kyle Dempsey.
The Rams have been keeping a close eye on the 24-year-old, according to Football Insider.
Fellow Sky Bet Championship clubs Swansea City and Huddersfield Town are also said to be interested.
Citing a Fleetwood source, the report says the three clubs have been impressed by the player's recent form and have been "making regular trips" to watch him in action.
Uche Ikpeazu
Derby County have been linked with a move for Hearts striker Uche Ikpeazu.
According to West London Sport, Queens Park Rangers are monitoring the 24-year-old.
It is reported Derby's Championship rivals Wigan Athletic and Bristol City have scouted the former Reading man along with Phillip Cocu's side.
Ikpeazu, who began his career at Reading, has scored ten goals for Hearts since his arrival from Cambridge United in 2018 on a free transfer.
Jamie Hamilton
Derby County have been linked with a move for young Scottish defender Jamie Hamilton.
The highly-rated centre-back has come through the youth ranks at Hamilton Academical and has been identified as one for the future.
According to the Daily Maill, Derby, along with four Premier League clubs, have been taking a closer look at the 17-year-old.
Hamilton came to the fore last season, when he impressed for Scotland Under-17s and also in the UEFA Youth League. He has since been called up to Scotland’s under-19 squad.
Ivan Toney and Marcus Maddison
Peterborough United striker Ivan Toney says he does not listen to transfer speculation amid reports that he is set to be part of a Derby County double transfer swoop.
Toney, who has scored 13 goals in 23 appearances this season, has been linked with January a move to Pride Park along with midfielder Marcus Maddison.
The duo have proved instrumental in the Posh's charge into League One promotion contention.
Lyndon Dykes
Derby County are amongst at least half-a-dozen Championship clubs being linked with a move for Livingston frontman Lyndon Dykes.
The Australian-born 24-year-old has netted five goals in 17 games for the Scottish Premiership club, and that has sparked interest south of the border just a few weeks before the opening of the January transfer window..
According to TeamTalk, the Rams, Middlesbrough, Cardiff, Swansea, Bristol City and Blackburn have all made enquiries for the 6ft 2in forward, who can play anywhere across the front-line.
The website claims all six Championship clubs have been to see Dykes in action in recent weeks, and says Livingston are ready to sell in January.
Armand Gnanduillet
Derby County are being linked with a move for Blackpool striker Armand Gnanduillet ahead of the January transfer window.
According to Football Insider, the Rams are casting an eye over the striker as they prepare to strengthen their forward options during the upcoming transfer window.
The report also adds that Derby are in the market for reinforcements in the striker department in the New Year, and have identified Gnanduillet as a potential option.
Clubs across England have also reportedly shown an interest in the 27-year-old’s services, with the player’s current deal at Bloomfield Road due to expire next summer.
It is believed that Gnanduillet could be available for a cut-price fee in January as the Tangerines look to cash in on the player.
Luciano Acosta
Wayne Rooney apparently urged one of his DC United team-mates to join him at Derby County.
Rooney has left the United States after agreeing a deal to sign for the Rams as player-coach in January.
Before departing at the end of the Major League Soccer campaign, the former England star reportedly encouraged Luciano Acosta to follow him to Pride Park.
Acosta has also called time on his DC United career, and is looking for a new club.


---
title: "Friday to Saturday"
layout: "post"
permalink: "/2010/11/friday-to-saturday.html"
uuid: "3632334531705610401"
guid: "tag:blogger.com,1999:blog-8745734052417186264.post-3632334531705610401"
date: "2010-11-06 17:20:00"
updated: "2010-11-06 17:39:24"
description:
blogger:
siteid: "8745734052417186264"
postid: "3632334531705610401"
comments: "0"
categories: [blog, Family, holiday]
tags: [Family, holiday]
author:
name: "Alan Chalmers"
url: "https://plus.google.com/109008868852571463084?rel=author"
image: "//lh6.googleusercontent.com/-vRVdiWd12ak/AAAAAAAAAAI/AAAAAAAAHKc/wXgK4dFefp8/s512-c/photo.jpg"
---
A day with less driving good for me.
We did some shopping and hit the outlets for a short spell, we will return later today (Saturday).
We had lunch up at Healdsburg just north of Santa Rosa, a very nice little town you it's center square cover in autumn leaves.
We had dinner at CA' Bianca a very nice Italian with Dy , and Ashely.
This afternoon I'll be heading for San Jose , Michelle will stay on at Dy's for a few more days and catch up with me later.


@@include('./shared/_head.html', { "title": "Start" })
@@include('./shared/_header.html')
@@include('./partials/intro-header-start.html')
@@include('./partials/task-nav.html')
@@include('./partials/promo-1.html')
@@include('./partials/testimonials.html')
@@include('./partials/promo-2.html')
@@include('./partials/in-the-media.html')
@@include('./partials/section-text-intro.html')
@@include('./partials/timeline.html')
@@include('./partials/promo-3.html')
@@include('./partials/about-us-text.html')
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@@include('./partials/kitchen-sink.html')
@@include('./partials/grid-example.html')
@@include('./shared/_footer.html')


THE KICKOFF
KA Lite is released as open source software and becomes available for installation.
Learn moreAN ORGANIZATION IS BORN
Learning Equality is established, with a mission to provide wider access to open educational resources and opportunities.
More about usKA LITE REACHES 160+ COUNTRIES
See our interactive world map of deployments and installations, and discover impactful stories from people around the world.
Find storiesCROWDFUNDING CAMPAIGN
Kolibri will bring even more sources of great online educational content to the offline world.


Carme.io built the SpidChain app as a open source app. This SERVICE is provided by Carme.io at no cost and is intended for use as is.
This page is used to inform app users regarding our policies with the collection, use, and disclosure of Personal Information if anyone decided to use our Service.
If you choose to use our Service, then you agree to the collection and use of information in relation with this policy. The Personal Information that we collect are used for providing and improving the Service. We will not use or share your information with anyone except as described in this Privacy Policy.
Information Collection and Use
The app uses the SpidChain servers to exchange personal signed claims with other users. We do not collect or use in any way this information.
The app does use third party services that may collect information used to identify you. There are API calls to the following blockchain explorers: Sochain and Blockcypher
Security
We value your trust in providing us your Personal Information, thus we are striving to use commercially acceptable means of protecting it. But remember that no method of transmission over the internet, or method of electronic storage is 100% secure and reliable, and we cannot guarantee its absolute security.
Changes to This Privacy Policy
We may update our Privacy Policy from time to time. Thus, you are advised to review this page periodically for any changes. We will notify you of any changes by posting the new Privacy Policy on this page. These changes are effective immediately, after they are posted on this page.
Contact Us
If you have any questions or suggestions about our Privacy Policy, do not hesitate to contact us.


Bayer's Name & Address
{{order.shipping_address.first_name}} {{order.shipping_address.last_name}}
{{order.shipping_address.devision}}, {{order.shipping_address.city}}
{{order.shipping_address.house_number}}
{{order.shipping_address.zone}}
{{order.shipping_address.effective_delivery}}
Phone: {{order.shipping_address.phone_number}}


When the "i" icon is tapped, an information window is shown. This window gives a brief description of how dating was viewed and pursued in that particular era. There are also a set of rules for participants to follow in order to maintain the most authentic experience possible.
When a man is viewing a woman's profile, he will see the woman's profile picture, name, and age. He can also tap the "i" icon to view her date preferences. This era is all about wining and dining. He can swipe left or tap the "x" icon if he is not interested. Or he can swipe right or tap the "heart" icon if he wants to chat with her.
In this era, woman are able to view and select matches. When a woman is viewing a man's profile, she will see the man's profile picture, name, age, occupation and salary. Men with the highest salary will appear first in a woman's potential matches. She can also tap the "i" icon to view his ideas for a first date. She can swipe left or tap the "x" icon if she is not interested. Or she can swipe right or tap the "heart" icon if she wishes to chat with him.
Both men and women are notified if they have a match. However, the woman must message first. She may hit the forward arrow to proceed to the chat screen. Both men and women can select the back arrow to continue looking through potential matches.
The chat screen is relatively standard to most mobile dating apps on the market today.
© 2016 Era Dating App


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Deployment Options is one of the core features of being enterprise-ready. As enterprises become more conscious of their data sprawl, having the ability to deliver to your customer's private environments will become more vital.
|
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So on Wednesday, August 21st at 10 am PT, we're going to dive into how HashiCorp delivers one of their most popular products, Terraform Enterprise. We'll be joined by Evan Phoenix, Engineering Lead at HashiCorp, who will walk us through how they built their deployment workflow, alongside a sample installation so you'll get an idea of how enterprise customers expect software to be delivered.
|
Topics we'll cover:
- Understanding the importance of delivering on-prem
- Integrating Terraform into Replicated for deploying on-prem
- Installation of Terraform from enterprise customer perspective
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Save your spot
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If for some reason you can't make it go ahead and save a spot and we'll send you a copy of the recording.
|
- Grant Miller & The Team at EnterpriseReady
|


In this class you will learn the conceptual aspects of modern physics with the goal of interpreting and summarizing recent technological advances, scientific breakthroughs and social events related to science as they appear in the news. Real news article will be used in each weekly lesson to introduce the subject. The content objectives will focus primarily on the modern physics of quantum mechanics and relativity. No prior knowledge of physics is assumed and there are not math pre-requisites.
This class is meant to be a fun exploration at the frontier of our knowledge of the natural world! Recent scientific news and social events will be our guides through the landscape of modern physics.
On completion of PHYS 010, students will be able to:
Physics and Technology for Future Presidents: An Introduction to the Essential Physics Every World Leader Needs to Know - By: Richard Muller. (Make sure not to buy the pop-science book called “Physics for Future Presidents” by the same author). There will be some extra reading material that will be posted on Canvas and on the library’s E-reserves.
| Week | Topic(s) |
|---|---|
| 1 | Atoms and Particles |
| 2 | Energy, Heat & Momentum |
| 3 | Waves |
| 4 | Space-time |
| 5 | The Life of the Election |
| 6 | Midterm 1 Review Ethics in Science |
| 7 | The Life of the Photon |
| 8 | How the Photon and Electron Interact |
| 9 | High Tech and Radiation |
| 10 | Nuclear Forces |
| 11 | Midterm 2 Review The Large Hadron Collider |
| 12 | The 4 Fundamental Forces of Nature |
| 13 | The Theory of Gravity |
| 14 | Cosmology |
| 15 | Open Problems in Physics |
There will be roughly 10 homework throughout the semester. Homework will be submitted on Canvas and they aim to test your understanding of the material and to work on practice questions similar to what you will find in the midterms and final. Doing the homework and making sure to go back to understand the questions you missed is one of the best way to do well in class!
There will be three exams in the semester (two midterms and a final exam) where you will have the opportunity to show how well you have learned the course material.
Each exam will be delivered through Canvas. There will be a time limit of 50 minutes for each midterm and 75 minutes for the comprehensive final exam. Only one attempt is allowed. You will not need to find a proctor.
You will be expected to complete one project related to class material. This will be in the form of a news article on a scientific subject of your choice that is related to the concepts discussed in this class. There will be two components. In the first part, people will work together to do research and produce “index cards” that can then be used to write the news article. Then you will individually write a scientific news article on the subject.
Your grade in the course will be based on your performance on the exams, quality of the lab work (reports), performance in homework and the quality of your project, with the following weight:
| Assignment | % Score |
|---|---|
| Midterm Exam 1 | 20% |
| Midterm Exam 2 | 20% |
| Final Exam | 25% |
| Labs | 10% |
| Homework | 10% |
| Project | 10% |
| Participation | 5% |
| Total | 100% |
| Letter Grade | % Score |
|---|---|
| A | 93-100% |
| A- | 91-92% |
| B+ | 88-90% |
| B | 84-87% |
| B- | 81-83% |
| C+ | 78-80% |
| C | 70-77% |
| D | 60-69% |
| F | < 59% |


{% extends "forms/admin/base/base_admin_form.html" %} {% set page_title = 'Create New Role' %} {% import "forms/admin/role_macros.jinja" as table_macros %} {% if form_data is not defined %} {% set form_data = {} %} {% endif %} {% block content %}
Create a new role with a name and description. You may add permissions to the role and grant the role to users after creation.
{% endblock %}


alerts
Basic
Let op!     The quick brown fox jumps over the lazy dog
With paragrafs, headers, images, etc, etc.
Hello, World!
Hello, World!


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
Open Access to ACM SIGGRAPH-Sponsored Content: For both SIGGRAPH and SIGGRAPH Asia, conference content is freely accessible in the ACM Digital Library for a one-month period that begins two weeks before each conference, and ends a week after it concludes.
ACM Digital Library:ACM Transactions on Graphics (TOG) Volume 36, Issue 6 (December 2017) Proceedings of ACM SIGGRAPH Asia 2017
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Form, Furniture and Fashion
- Position-Based Tensegrity Design
-
Nico Pietroni
(ISTI - CNR, Pisa, Italy),
Marco Tarini
(Univ Insubria, Varese, Italy),
Amir Vaxman
(Universiteit Utrecht, Nederlands),
Daniele Panozzo
(New York University),
Paolo Cignoni
(ISTI - CNR, Pisa)
- Material-Minimizing Forms and Structures
-
Martin Kilian,
Davide Pellis
(Vienna University of Technology),
Johannes Wallner
(Graz University of Technology),
Helmut Pottmann
(Vienna University of Technology)
- Reconfigurable Interlocking Furniture
-
Peng Song*
(University of Science and Technology of China),
Chi-Wing Fu*,
Yueming Jin
(The Chinese University of Hong Kong),
Hongfei Xu,
Ligang Liu
(University of Science and Technology of China),
Pheng-Ann Hen
(The Chinese University of Hong Kong),
Daniel Cohen-Or
(Tel Aviv University)
- Fabricable Tile Decors
-
Weikai Chen*
(University of Southern California),
Yuexin Ma*
(),
Sylvain Lefebvre
(INRIA),
Shiqing Xin
(Nanyang Technological University),
Jonas Martinez
(INRIA),
Wenping Wang
(The University of Hong Kong)
(* indicates co-first author)
HDR and Image Manipulation
- Learning to Predict Indoor Illumination from a Single Image
-
Marc-Andre Gardner
(Universite Laval),
Kalyan Sunkavalli,
Ersin Yumer,
Xiaohui Shen,
Emiliano Gambaretto
(Adobe Research),
Christian Gagne,
Jean-Francois Lalonde
(Universite Laval)
- Deep Reverse Tone Mapping
-
Yuki Endo,
Yoshihiro Kanamori,
Jun Mitani
(University of Tsukuba)
- HDR image reconstruction from a single exposure using deep CNNs
-
Gabriel Eilertsen,
Joel Kronander
(Linkoping University),
Gyorgy Denes,
Rafal K. Mantiuk
(University of Cambridge),
Jonas Unger
(Linkoping University)
- Transferring Image-based Edits for Multi-Channel Compositing
-
James W. Hennessey
(University College London),
Wilmot Li,
Bryan Russell,
Eli Shechtman
(Adobe Research),
Niloy Mitra
(University College London)
- Photo2ClipArt: Image Abstraction and Vectorization Using Layered Linear Gradients
-
Jean Dominique Favreau,
Florent Lafarge,
Adrien Bousseau
(Inria - Universite Cote d'Azur)
Geometry and Shape
- Sketch-Based Implicit Blending
-
Baptiste Angles
(University of Victoria and IRIT – Universite de Toulouse),
Marco Tarini
(Universita dell Insubria, ISTI/CNR),
Brian Wyvill
(University of Victoria),
Loic Barthe
(IRIT – Universite de Toulouse)
Andrea Tagliasacchi
(University of Victoria)
- Approximate Dissections
-
Noah Duncan
(University of California, Los Angeles),
Lap-Fai Yu
(University of Massachusetts Boston),
Sai-Kit Yeung
(Singapore University of Technology and Design),
Demetri Terzopoulos
(University of California, Los Angeles)
- Localized solutions of sparse linear systems for geometry processing
-
Philipp Herholz
(TU Berlin),
Timothy A. Davis
(Texas A&M),
Marc Alexa
(TU Berlin)
- DS++: A Flexible, Scalable and Provably Tight Relaxation for Matching Problems
-
Nadav Dym*,
Haggai Maron*,
Yaron Lipman
(Weizmann Institute of Science)
(*Joint first authors)
Volumes
- Robust Structure Simplification for Hex Re-meshing
-
Xifeng Gao
(New York University and University of Houston),
Daniele Panozzo
(New York University),
Wenping Wang
(The University of Hong Kong),
Zhigang Deng,
Guoning Chen
(University of Houston)
- Simplicial Complex Augmentation Framework for Bijective Maps
-
Zhongshi Jiang
(New York University),
Scott Schaefer
(Texas A&M University),
Daniele Panozzo
(New York University)
- Visibility-Consistent Thin Surface Reconstruction Using Multi-Scale Kernels
-
Samir Aroudj,
Patrick Seemann,
Fabian Langguth,
Stefan Guthe,
Michael Goesele
(Technische Universitat Darmstadt)
- Tensor Field Design in Volumes
-
Jonathan Palacios, Lawrence Roy, Prashant Kumar
(Oregon State University),
Chen-Yuan Hsu
(Bournemouth University),
Weikai Chen
(University of Hong Kong and USC Institute for Creative Technologies),
Chongyang Ma
(Snap Research),
Li-Yi Wei
(University of Hong Kong),
Eugene Zhang
(Oregon State University)
Displays
- Near-Eye Varifocal Augmented Reality Display using See-Through Screens
-
Kaan Aksit,
Ward Lopes,
Jonghyun Kim,
Peter Shirley,
David Luebke
(NVIDIA Corporation)
- Retinal 3D: Augmented Reality Near-Eye Display Via Pupil-Tracked Light Field Projection on Retina
-
Changwon Jang,
Kiseung Bang,
Seokil Moon,
Jonghyun Kim,
Seungjae Lee,
Byoungho Lee
(Seoul National University)
- Mix-and-Match Holography for Diffractive Display
-
Yifan (Evan) Peng
(The University of British Columbia),
Xiong Dun,
Qilin Sun,
Wolfgang Heidrich
(KAUST)
- Perceptually-Guided Foveation for Light Field Displays
-
Qi Sun
(Stony Brook University),
Fu-Chung Huang,
Joohwan Kim
(NVIDIA Corporation),
Li-Yi Wei
(University of Hong Kong)
David Luebke
(NVIDIA Corporation)
Fire, Flow and Flight
- Interactive Wood Combustion for Botanical Tree Models
-
Soren Pirk
(Stanford University),
Michal Jarzabek
(Adam Mickiewicz University),
Torsten Hadrich,
Dominik L. Michels
(KAUST),
Wojciech Palubicki
(Adam Mickiewicz University)
- How to Train Your Dragon: Example-Guided Control of Flapping Flight
-
Jungdam Won,
Jongho Park,
Kwanyu Kim,
Jehee Lee
(Seoul National University)
- A Hyperbolic Geometric Flow for Evolving Films and Foams
-
Sadashige Ishida
(Nikon Corporation and The University of Tokyo),
Masafumi Yamamoto
(The University of Tokyo),
Ryoichi Ando
(National Institute of Informatics),
Toshiya Hachisuka
(The University of Tokyo)
- City-Scale Traffic Animation Using Statistical Learning and Metamodel-Based Optimization
-
Weizi Li,
David Wolinski,
Ming C. Lin
(University of North Carolina at Chapel Hill)
Avatars and Faces
- Real-time 3D Eyelids Tracking from Semantic Edges
-
Quan Wen,
Feng Xu
Ming Lu,
Jun-Hai Yong
(Tsinghua University, Beijing)
- Learning a model of facial shape and expression from 4D scans
-
Tianye Li
(University of Southern California),
Timo Bolkart
(MPI for Intelligent Systems),
Hao Li
(University of Southern California),
Michael J. Black,
Javier Romero
(MPI for Intelligent Systems)
- Avatar Digitization From a Single Image For Real-Time Rendering
-
Liwen Hu,
Shunsuke Saito,
Lingyu Wei,
Koki Nagano
Jaewoo Seo,
Iman Sadeghi,
Jens Fursund
Yen-Chun Chen,
Hao Li
(University of Southern California)
- Bringing Portraits to Life
-
Hadar Averbuch-Elor,
Daniel Cohen-Or
(Tel Aviv University),
Johannes Kopf,
Michael Cohen
(Facebook)
Reflectance and Scattering
- Microfacet-based normal mapping for robust Monte Carlo path tracing
-
Vincent Schussler
(Karlsruhe Institute of Technology),
Eric Heitz
(Unity Technologies),
Johannes Hanika,
Carsten Dachsbacher
(Karlsruhe Institute of Technology)
- Polarization imaging reflectometry in the wild
-
Jeremy Riviere,
Ilya Reshetouski,
Luka Filipi,
Abhijeet Ghosh
(Imperial College London)
- Scratch Iridescence: Wave-Optical Rendering of Diffractive Surface Structure
-
Sebastian Werner,
Zdravko Velinov
(University of Bonn),
Wenzel Jakob
(EPFL),
Matthias Hullin
(University of Bonn)
- Azimuthal Scattering from Elliptical Hair Fibers
(TOG Paper)
-
Pramook Khungurn,
Steve Marschner
(Cornell University)
- A BSSRDF Model for Efficient Rendering of Fur with Global Illumination
-
Ling-Qi Yan*,
Weilun Sun*
(University of California at Berkeley),
Henrik Wann Jensen,
Ravi Ramamoorthi
(University of California, San Diego)
(*Joint first authors)
3D Scenes
- Adaptive Synthesis of Indoor Scenes via Activity-Associated Object Relation Graphs
-
Qiang Fu, Xiaowu Chen, Xiaotian Wang, Sijia Wen, Bin Zhou
(Beihang University),
Hongbo Fu
(City University of Hong Kong)
- Autonomous Reconstruction of Unknown Indoor Scenes Guided by Time-varying Tensor Fields
-
Kai Xu
(Shenzhen University and National University of Defense Technology (NUDT)),
Lintao Zheng
(National University of Defense Technology (NUDT)),
Zihao Yan,
Guohang Yan
(Shenzhen University),
Eugene Zhang
(Oregon State University),
Matthias Niesner
(Stanford University),
Oliver Deussen
(University of Konstanz, Germany),
Daniel Cohen-Or
(Tel Aviv University),
Hui Huang
(Shenzhen University)
- 3DLite: Towards Commodity 3D Scanning for Content Creation
-
Jingweih Huang,
Angela Dai,
Leonidas Guibas
(Stanford University),
Matthias Niessner
(Technical University of Munich)
- BigSUR: Large-scale Structured Urban Reconstruction
-
Tom Kelly
(University College London),
John Femiani
(Miami University),
Peter Wonka
(KAUST),
Niloy Mitra
(University College London)
Mappings and Deformation
- Planar Interpolation with Extreme Deformation, Topology Change and Dynamics
-
Yufeng Zhu
(The University of British Columbia and Adobe Research),
Jovan Popovic
(Adobe Research),
Robert Bridson
(The University of British Columbia and Autodesk),
Danny Kaufman
(Adobe Research)
- GPU-Accelerated Locally Injective Shape Deformation
-
Renjie Chen
(Max-Planck-Institut Informatik),
Ofir Weber
(Bar Ilan University)
- Autocuts: Simultaneous Distortion and Cut Optimization for UV Mapping
-
Roi Poranne
(ETH Zurich),
Marco Tarini
(Univ Insubria, Varese, Italy),
Sandro Huber
(ETH Zurich),
Daniele Panozzo
(New York University),
Olga Sorkine-Hornung
(ETH Zurich)
- Seamless: Seam Erasure and Seam-aware Decoupling of Shape from Mesh Resolution
-
Songrun Liu*,
Zachary Ferguson
(George Mason University),
Alec Jacobson
(University of Toronto),
Yotam Gingold
(George Mason University)
(*Joint first authors)
AR / VR
- SpinVR: Towards Live-Streaming 3D Virtual Reality Video
-
Robert Konrad*,
Donald G. Dansereau*,
Aniq Masood,
Gordon Wetzstein
(Stanford University)
(*Joint first authors)
- ChromaBlur: Rendering Chromatic Eye Aberration Improves Accommodation and Realism
-
Steven A. Cholewiak
(University of California at Berkeley),
Gordon D. Love
(Durhan University),
Pratul Srinivasan,
Ren Ng,
Martin S. Banks
(University of California at Berkeley),
- Smooth Assembled Mappings for Large-Scale Real Walking in VR
-
Zhichao Dong, Xiao-Ming Fu, Chi Zhang, Kang Wu,
Ligang Liu
(University of Science and Technology of China)
- Fully Perceptual-Based 3D Spatial Sound Individualization with an Adaptive Variational AutoEncoder
-
Kazuhiko Yamamoto,
Takeo Igarashi
(The University of Toky)
High Performance Imaging
- Compact Single-Shot Hyperspectral Imaging Using a Prism
-
Seung-Hwan Baek,
Incheol Kim
(KAIST),
Diego Gutierrez
(Universidad de Zaragoza),
Min H. Kim
(KAIST)
- High-Quality Hyperspectral Reconstruction Using a Spectral Prior
-
Inchang Choi,
Daniel S. Jeon,
Giljoo Nam
(KAIST),
Diego Gutierrez
(Universidad de Zaragoza),
Min H. Kim
(KAIST)
- DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
-
Julio Marco
Quercus Hernandez,
Adolfo Munoz
(Universidad de Zaragoza),
Yue Dong
(Microsoft Research Asia),
Adrian Jarabo
(Universidad de Zaragoza),
Min H. Kim
(KAIST),
Xin Tong
(Microsoft Research Asia),
Diego Gutierrez
(Universidad de Zaragoza)
- Snapshot Difference Imaging using Correlation Time-of-Flight Sensors
-
Clara Callenberg
(University of Bonn),
Felix Heide
(The University of British Columbia),
Gordon Wetzstein
(Stanford University),
Matthias Hullin
(University of Bonn)
Fluids in Particular
- Conformation Constraints for Efficient Viscoelastic Fluid Simulation
-
Hector Barreiro
(URJC Madrid),
Ignacio Garcia-Fernandez,
(Universitat de Valencia),
Ivan Alduan
(Next Limit),
Miguel A. Otaduy
(URJC Madrid)
- A Polynomial Particle-In-Cell Method
-
Chuyuan Fu,
Qi Guo,
Theodore Gast
Chenfanfu Jiang
(University of Pennsylvania),
Joseph Teran
(University Of California, Los Angeles)
- An Adaptive Generalized Interpolation Material Point Method for Simulating Elastoplastic Materials
-
Ming Gao,
Andre Pradhana Tampubolon,
Chenfanfu Jiang,
Eftychios Sifakis
(University of Wisconsin-Madison)
- A Unified Particle System Framework for Multi-Phase, Multi-Material Visual Simulations
-
(Tsinghua University, Beijing),
Jian Chang
(Bournemouth University),
Ming C. Lin
(University of North Carolina at Chapel Hill),
Ralph R. Martin
(Cardiff University),
Jian Zhang
(Bournemouth University),
Shi-Min Hu
(Tsinghua University, Beijing)
Rendering and Sampling
- Gradient-Domain Path Reusing
-
Pablo Bauszat,
Victor Petitjean,
Elmar Eisemann
(TU Delft)
- Real-time Global Illumination by Precomputed Local Reconstruction from Sparse Radiance Probes
-
Ari Silvennoinen
(Aalto University and Remedy Entertainment),
Jaakko Lehtinen
(Aalto University and NVIDIA Research)
- Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
-
Simon Kallweit,
Thomas Müller
(Disney Research and ETH Zürich),
Brian McWilliams
(Disney Research),
Markus Gross
(Disney Research and ETH Zürich),
Jan Novak
(Disney Research)
- Fast Rendering of Fabric Micro-Appearance Models Under Directional and Spherical Gaussian Lights
-
Pramook Khungurn,
Rundong Wu,
James Noeckel,
Steve Marschner,
Kavita Bala
(Cornell University)
- Weighted Linde-Buzo-Gray Stippling
-
Oliver Deussen,
Marc Spicker,
Qian Zheng
(University of Konstanz)
Learning Geometry
- Learning to Group Discrete Graphical Patterns
-
ZhaoLiang Lun*
(University of Massachusetts Amherst),
Changqing Zou*
(Simon Fraser University),
Haibin Huang,
Evangelos Kalogerakis
(University of Massachusetts Amherst),
Ping Tan
(Simon Fraser University),
Marie-Paule Cani,
(INRIA Rhone-Alpes),
Hao Zhang
(Simon Fraser University)
(* indicates co-first author)
- Complementme: weakly-supervised component suggestions for 3D modeling
-
Minhyuk Sung,
Hao Su
(Stanford University),
Vladimir G. Kim
(Adobe Research),
Siddhartha Chaudhuri
(IIT Bombay),
Leonidas Guibas
(Stanford University)
- Learning to Predict Part Mobility from a Single Static Snapshot
-
Ruizhen Hu,
Wenchao Li
(Shenzhen University),
Oliver van Kaick
(Carleton University),
Ariel Shamir
(The Interdisciplinary Center),
Hao Zhang
(Simon Fraser University),
Hui Huang
(Shenzhen University)
- Interactive Example-Based Terrain Authoring with Conditional Generative Adversarial Networks
-
Eric Guerin,
Julie Digne,
Eric Galin,
Adrien Peytavie,
Christian Wolf
(LIRIS),
Bedrich Benes
(Purdue University),
Benoit Martinez
(Ubisoft Entertainment)
Multi-View 3D
- Casual 3D Photography
-
Peter Hedman
(University College London),
Suhib Alsisan,
Richard Szeliski,
Johannes Kopf
(Facebook)
- Soft 3D Reconstruction for View Synthesis
-
Eric Penner,
Li Zhang
(Google Inc.)
- Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics
-
Liang Shi
(NVIDIA Corporation and Massachusetts Institute of Technology),
Fu-Chung Huang,
Ward Lopes
(NVIDIA Corporation),
Wojciech Matusik
(Massachusetts Institute of Technology),
David Luebke
(NVIDIA Corporation)
- Fast Gaze-Contingent Optimal Decompositions for Multifocal Displays
-
Olivier Mercier
(Universite de Montreal and Oculus Research),
Yusufu Sulai,
Kevin Mackenzie,
Marina Zannoli,
James Hillis
(Oculus Research),
Derek Nowrouzezahrai
(McGill University),
Douglas Lanman
(Oculus Research)
Design and Fabrication
- Computational Design of Wind-up Toys
-
Peng Song,
Xiaofei Wang,
Xiao Tang
(University of Science and Technology of China),
Chi-Wing Fu
(The Chinese University of Hong Kong),
Hongfei Xu,
Ligang Liu
(University of Science and Technology of China),
Niloy Mitra
(University College London)
- Computational Design and Fabrication of Soft Pneumatic Objects with Desired Deformations
-
Yizhong Zhang,
Like Ma
(Zhejiang University),
Yang Liu
(Microsoft Research Asia),
Kun Zhou
(Zhejiang University),
Xin Tong
(Microsoft Research Asia)
- MetaSilicone: Design and Fabrication of Composite Silicone with Desired Mechanical Properties
-
Jonas Zehnder
(Disney Research and Universite de Montreal),
Espen Knoop,
(Disney Research),
Bernhard Thomaszewski
(Universite de Montreal)
- Scattering-aware Texture Reproduction for 3D Printing
-
Oskar Elek
(Charles University),
Denis Sumin
(Max Planck Institute for Informatics),
Ran Zhang
(IST Austria),
Tim Weyrich
(University College London),
Karol Myszkowski
(Max Planck Institute for Informatics),
Bernd Bickel
(IST Austria),
Alexander Wilkie,
Jaroslav Krivanek
(Charles University)
- 3D Printing Wireless Connected Objects
-
Vikram Iyer,
Justin Chan,
Shyam Gollakota
(University of Washington)
Hands and Bodies
- Online Generative Model Personalization for Hand Tracking
-
Anastasia Tkach*
(EPFL),
Andrea Tagliasacchi*
(University of Victoria),
Edoardo Remelli,
Mark Pauly
(EPFL),
Andrew Fitzgibbon
(Microsoft)
(*Joint first authors)
- Articulated Distance Fields for Ultra-Fast Tracking of Hands Interacting
-
Jonathan Taylor, Vladimir Tankovich, Danhang Tang, Cem Keskin, David Kim, Philip Davidson, Adarsh Kowdle, Shahram Izadi
(perceptiveIO, Inc)
- Embodied Hands: Modeling and Capturing Hands and Bodies Together
-
Javier Romero*
(Body Labs),
Dimitrios Tzionas*
Michael J. Black
(MPI for Intelligent Systems)
(*Joint first authors)
- Motion2Fusion: Real-time Volumetric Performance Capture
-
Mingsong Dou, Philip Davidson, Sean Ryan Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, Shahram Izadi
(perceptiveIO, Inc)
kesen.huang@gmail.com


WITNESS LIST Land & Resource Management Committee April 7, 1997-2:00P HB 770 For: Haggerty, Rep. Pat (House Dist.) Against: Sproul, John (Franklin Mountain Counc) HB 1469 For: McCoulskey, Huey (himself) Powers, Bill (TX Farm Bureau) West, Rep. Buddy (House Dist.) HB 1809 For: Davis, Rep. Yvonne (House Dist.) Against: Swander, Steven H. (TX Entertainment Assoc.) On: Turner, Frank F. (City of Plano) HB 1961 For: Appel, Herbert W. (Fort Bend Eco Dev Counc) Howard, Rep. Charlie (House Dist.) Hrbacek, Dean (City of Sugar Land) On: Hugetz, Edward T. (himself) HB 2318 For: Copeland, Marsha E. (Upper Guadalupe River) Hilderbran, Rep. Harvey (House Dist.) On: Regan, Mike (Railroad Commission) HB 2564 For: Hinojosa, Rep.Juan (House Dist.) HB 2666 For: Lopez, Ramiro (City of Dallas) HB 2738 For: Uher, Rep. Tom (House Dist.) On: Baldwin, Jeff (TX Dept. Criminal Justi) HB 2833 For: Gallego, Rep. Pete (House Dist.) On: Mathews, Lee (TX Low-Level Radio. Was) HB 3016 For: Griffith, Carl R. (himself) Price, Rep. Albert J. (House Dist.) On: Baldwin, Jeff (TX Dept. Criminal Justi) HB 3154 For: Gill, Jagjit S. (himself) Hilbert, Rep. Paul (House Dist.) HB 3212 For: Raymond, Rep. Richard (House Dist.) On: Baldwin, Jeff (TX Dept. Criminal Justi) HB 3465 For: Brieden, John (American Legion) McLemore, Bill (TX Assoc County Veteran) On: Furr, Col. W. Randy (himself) HB 3515 For: Goolsby, Rep. Tony (House Dist.) HJR 78 For: McCoulskey, Huey (himself) Powers, Bill (TX Farm Bureau) West, Rep. Buddy (House Dist.)


WITNESS LIST Public Education Committee (Subcommittee on Agency Oversight and Grant Programs) September 13, 2000-1:00P Grant Programs On: Smisko, Ann (TEA) Prekindergarten On: Wisnoski, Joe (TEA) Special Education For: Bishop, Donald (Self) On: Lenz, Gene (TEA) Teacher Training For: Ames, Laure (Self) Textbooks For: Bittick, Clinton (Self) Evans, Charles (Self) On: Leos, Robert (TEA) Rogalin, Roger (Association of American Publishers) Watkins, Joe Bill (Association of American Publishers)


{% extends "base.html" %} {% load tournament_extras %} {% block title %}{{ req_type }} - {{ season.name }} - {{ league.name }}{% endblock %} {% block content %}
Request successfully submitted. You'll be contacted on Slack if it's approved.


Random: Academy Award Winner Brie Larson's Mind Was Just Blown By Doug Bowser
"I love Nintendo"
by Damien McFerranNo matter how famous people become, it's always nice to see how they can still become normal, grounded people when the time is right – like when you're approached by the president of one of your favourite games companies and asked which character you prefer in Luigi's Mansion 3. (That kind of thing happens all the time to us mere mortals, right?)
This story begins when Brie Larson – she of Captain Marvel and Room fame – responded to a Nintendo of America tweet about Luigi's latest adventure on Switch.
Things escalated from there, as Doug Bowser (yes, it is he) locked onto the reply and asked Larson that important question:
Larson – who has also starred in Kong: Skull Island, Scott Pilgrim vs. the World and 21 Jump Street and has an Academy Award and Golden Globe to her name – was clearly a little overawed by the encounter, which proves no matter how famous and acclaimed you become, there's still a small part of everyone which is instantly humbled when Nintendo comes knocking.
[via twitter.com]


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This is a library of Ant tasks that support writing tests for tasks using build files instead of JUnit.
The current version requires Ant 1.8.1 or later.
The source code for the library lives in the ant-antlibs-antunit git repository - https://gitbox.apache.org/repos/asf/ant-antlibs-antunit.git.
If you are building this from sources, run the antlib target
and you'll get a file ant-antunit.jar
.
There are several ways to use the tasks:
<taskdef resource="org/apache/ant/antunit/antlib.xml"> <classpath> <pathelement location="YOUR-PATH-TO/ant-antunit.jar"/> </classpath> </taskdef>With this you can use the tasks like plain Ant tasks, they'll live in the default namespace. I.e. if you can run <exec> without any namespace prefix, you can do so for <antunit> as well.
<taskdef uri="antlib:org.apache.ant.antunit" resource="org/apache/ant/antunit/antlib.xml"> <classpath> <pathelement location="YOUR-PATH-TO/ant-antunit.jar"/> </classpath> </taskdef>This puts you task into a separate namespace than Ant's namespace. You would use the tasks like
<project xmlns:au="antlib:org.apache.ant.antunit" xmlns="antlib:org.apache.tools.ant"> ... <au:assertTrue> <equals arg1="1" arg2="2"/> </au:assertTrue>or a variation thereof.
ant-antunit.jar
into a directory and use ant -lib
DIR-CONTAINING-THE-JAR
or copy it into
ANT_HOME/lib
- and then in your build file, simply
declare the namespace on the project
tag:
<project xmlns:au="antlib:org.apache.ant.antunit" xmlns="antlib:org.apache.tools.ant">And all tasks of this library will automatically be available in the
au
namespace without any
taskdef
.


3 references to AmbiguousTypeException
System.Management.Automation (3)
engine\parser\TypeResolver.cs (2)
433
var
ambiguousException = exception as
AmbiguousTypeException
;
engine\runtime\Operations\MiscOps.cs (1)
2117
exception.InnerException is TypeResolver.
AmbiguousTypeException
)


\\cà phê shift
This automatic page generator is the easiest way to create beautiful pages for all of your projects. Author your page content here using GitHub Flavored Markdown, select a template crafted by a designer, and publish. After your page is generated, you can check out the new gh-pages
branch locally. If you’re using GitHub for Mac or GitHub for Windows, simply sync your repository and you’ll see the new branch.
\\liên kết
We’ve crafted some handsome templates for you to use. Go ahead and click 'Continue to layouts' to browse through them. You can easily go back to edit your page before publishing. After publishing your page, you can revisit the page generator and switch to another theme. Your Page content will be preserved.
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If you prefer to not use the automatic generator, push a branch named gh-pages
to your repository to create a page manually. In addition to supporting regular HTML content, GitHub Pages support Jekyll, a simple, blog aware static site generator. Jekyll makes it easy to create site-wide headers and footers without having to copy them across every page. It also offers intelligent blog support and other advanced templating features.
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You can @mention a GitHub username to generate a link to their profile. The resulting <a>
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Learning-by-doing is a concept in economic theory by which productivity is achieved through practice, self-perfection and minor innovations. - Wikipedia
Have you ever noticied this Verified
badge to the commits on GitHub ?
The first thing that came to my mind when I saw the badge was, What’s the point for doing that ? And while experimenting, I found that by just changing my git config to any other name and email, all the commits I do thereon will be by the changed name and email, and pushing those commits on server (GitHub or any other service) will also show the changed name and email as its author. For example, I change name and email in config as follows:
And now after making some messy changes and commiting them in the repository. This will be shown in the commit details.
If I push it to GitHub using my account credentials, GitHub will still show the author name as John<EMAIL_ADDRESS>and not my actual one i.e. Akash Jobanputra<EMAIL_ADDRESS>. This way commits can be easily forged by anyone. That’s what made me go through the whole process of creating keys, adding them to my github profile, and then using them to sign my commits by entering the passphrase. Because without commit signing, there is no way to verify that the original author is the author in commit details. But because of commit signing, commits cannot be forged as the forger does not have the private key.
Click here to know How to create key and sign your commits


Forms
Page:
It's important that you put the page here. Put the full URL. Make sure you put the fully qualified URL in but not page fragments. URLs should start with
https
, though the "s" is optional. A page fragment is the part that comes after the hashtag in the URL. Don't include that. Take out the hashtag and everything after it.
Errors
--- Please select an error ---

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 and
 groups,


YOUNG FRANKENSTEIN A film review by Chris Casino
**** out of **** (excellent).
Cast: Gene Wilder (Dr. Fredrick Frankenstein), Peter Boyle (The Monster), Marty Feldman (Igor), Madeline Kahn (Elizabeth), Teri Garr (Inga), Cloris Leachman (Frau Bleaucher), Gene Hackman (Blind man)
Crew: Director: Mel Brooks, Story/Screenplay: Gene Wilder/Mel Brooks, Producer: Michael Gruskoff, Cinematography: Gerald Hirschfield, Music: John Morris.
Gene Wilder and Mel Brooks were nominated for the best screenplay Oscar for this film in 1974. What puzzles me is, what they possibly had that won, and did it measure up to this?
Probably not, as this loving parody of the old Universal Frankensteins, is not only one of the funniest films I've ever seen in my life, but if it had been made forty years earlier, it just might've scared the living hell out of people.
 Nonetheless, Herr Faulkstein, a visitor to his class from his grandfather's village, comes to him telling him he inheirted great-granddaddy's estate. He also inherits Feldman's riotous hunchbacked Igor ("What hump?"), who insists that his name is "Eye-Gore", and Teri Garr's sultry Inga, whom he seduces in spite of having a somewhat snobbish finacee, Elizabeth (Kahn, a riot as always). Also aiding him is Cloris Leachman's caretaker Frau Bleaucher, who makes horses scream like hell!

This is the correct way to do a parody. As hilarious as this is, if the jokes had been edited out, this could easily pass as a regular Frankenstein film, and that's wise.
Two particular highlights are the blind man sequence with Gene Hackman, and the Puttin' On The Ritz routine.
I've heard this was ripped off fourteen years later by a film called Frankenstein General Hospital, which I have not seen. It's supposed to be the worst Frankenstein film ever made, and by turning this film into a color/lab scenes in B&W, low budget movie set in a hospital, I can see why. It's been referred to as the poor man's Young Frankenstein. I haven't seen this film, but I would still advise you: Accept no cheap imitations. When you try to copy a movie this good, you will fail. Of course the filmmakers of Frankenstein General Hospital failed miserably, however that's their problem.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


PhysX Visual Debugger (PVD)¶
PVD¶
The PhysX Visual Debugger (PVD) provides a graphical view of the PhysX scene and includes various tools to inspect and visualize variables of every PhysX object. Additionally it can also record and visualize memory and timing data.
PVD can be downloaded from: https://developer.nvidia.com/physx-visual-debugger
Questions regarding the usage of the GUI should all be answered by its detailed built-in help.
Basic Setup (SDK Side)¶
PVD integration is enabled in the debug, checked and profiling configurations of the SDK. In order to reduce memory footprint and code size, it is not enabled in the release configuration.
The SDK outputs the PVD debugging data in form of a stream. PVD supports reading the stream either from a TCP/IP network socket or from a file.
Network Setup¶
Streaming to TCP/IP is supported on almost all platforms, and is usually the most convenient way to collect PVD data. In this mode the stream can be watched in real-time, depending on network speed and scene complexity. In network mode PVD acts as a TCP/IP server and must therefore be launched before the SDK tries to connect to it. The default listening port is 5425:
use namespace physx;
PxPvd* pvd = PxCreatePvd(*foundation);
PxPvdTransport* transport = PxDefaultPvdSocketTransportCreate(PVD_HOST, 5425, 10);
pvd->connect(*transport,PxPvdInstrumentationFlag::eALL);
PxPhysics* physics = PxCreatePhysics(PX_PHYSICS_VERSION, *gFoundation, PxTolerancesScale(), true, pvd);
//After releasing PxPhysics, release the PVD
physics->release();
pvd->release();
transport->release();
File Setup¶
Streaming to file is an alternative to network streams. This is the recommended fall-back in case your platform or system setup does not support a network connection to PVD. File streams are often faster than network sockets and therefore a good alternative if performance is more important than real-time viewing. Streams stored as files can be loaded by drag&drop or over the File->Load menu in PVD:
use namespace physx;
PxPvd* pvd = PxCreatePvd(*foundation);
PxPvdTransport* transport = PxDefaultPvdFileTransportCreate(filename);
pvd->connect(*transport,PxPvdInstrumentationFlag::eALL);
PxPhysics* physics = PxCreatePhysics(PX_PHYSICS_VERSION, *gFoundation, PxTolerancesScale(),true, pvd);
//After releasing PxPhysics, release the PVD
physics->release();
pvd->release();
transport->release();
Advanced Setup¶
Connection Flags¶
To optimize the stream size we provide flags to enable specific features. This has both influence on PVD's and the SDK's performance:
- PxPvdInstrumentationFlag::eDEBUG: Transfer all debug data to visualize and inspect objects. This flag has usually the biggest impact on the stream's size.
- PxPvdInstrumentationFlag::ePROFILE: Transfer timing information of various profiling zones in our SDK.
- PxPvdInstrumentationFlag::eMEMORY: Transfer memory usage data of our SDK.
Setup to transfer only profiling data over network:
pvd->connect(*transport, PxPvdInstrumentationFlag::ePROFILE);
Visualizing Externals and Extended Data¶
Joints are implemented as an extension to the SDK constraints and therefore need special handling to get transmitted to PVD. Both joint and contact data can increase the stream size significantly. Visualizing it in PVD is therefore disabled by default. To enable them use following API calls:
mScene->getScenePvdClient()->setScenePvdFlags(PxPvdSceneFlag::eTRANSMIT_CONSTRAINTS | PxPvdSceneFlag::eTRANSMIT_SCENEQUERIES | PxPvdSceneFlag::eTRANSMIT_CONTACTS);
or set the flags separately:
mScene->getScenePvdClient()->setScenePvdFlag(PxPvdSceneFlag::eTRANSMIT_CONSTRAINTS, true);
Visualizing SceneQuery¶
Visualizing SceneQuery in PVD is disabled by default since queries and hits data can increase the stream size significantly. To enable it use following API calls:
mScene->getScenePvdClient()->setScenePvdFlag(PxPvdSceneFlag::eTRANSMIT_SCENEQUERIES, true);
Custom PvdClient¶
Implement the PvdClient interface if your application needs to react upon connection or disconnection from PVD, or if you plan to send custom PVD events from your application. It is recommended to toggle the contact and constraint visualization in the onPvdConnected/onPvdDisconnected callbacks to avoid potential memory and compute overhead in the SDK:
// derive from PvdClient
struct MyPvdClient : public physx::pvdsdk::PvdClient
{
virtual void onPvdConnected()
{
// 1. create a PvdDataStream
// 2. send your custom PVD class descriptions from here
// this then allows PVD to correctly identify and represent
// custom data that is sent from your application to a PxVisualDebuggerConnection.
// example in JointConnectionHandler
// 3. do something when successfully connected
// e.g. enable contact and constraint visualization
}
virtual void onPvdDisconnected()
{
// handle disconnection, release PvdDataStream
// e.g. disable contact and constraint visualization
}
//impleament other methods
...
};
// register custom handler
MyPvdClient myPvdClient;
pvd->addClient(myPvdClient);
PVD Error Stream¶
PhysX SDK sends all its own error messages to PVD if PVD is connected. In addition, you can call Ps::Foundation::error() or Ps::Foundation::getErrorHandler()::reportError() to report your error message. These functions will send error messages to PVD automatically.
The messages will be listed in ErrorStream view of PVD.
Custom profiling¶
When using PxPvdInstrumentationFlag::ePROFILE, PVD internally calls PxSetProfilerCallback() to set itself up as the current profiler. This happens during the PxPvd::connect() call, and it overrides the potentially already existing profiler callback. That is, if users call PxSetProfilerCallback() with their own user profiler callback, and then initialize PVD with PxPvdInstrumentationFlag::ePROFILE, then the user profiler callback is lost. Similarly, initializing PVD first then calling PxSetProfilerCallback() will make PVD's profiling results vanish.
In case both PVD's internal profiling and a user's custom profiling are needed at the same time, it is recommended to initialize PVD first, then call PxSetProfilerCallback() with your own profiler. In your implementation, call the PVD profiling functions manually, before or after performing your own profiling operations:
struct UserProfilerCallback : public PxProfilerCallback
{
PxPvd* mPvd;
virtual void* zoneStart(const char* eventName, bool detached, uint64_t contextId)
{
// Do custom profiling here
// Then re-route to PVD implementation
return mPvd->zoneStart(eventName, detached, contextId);
}
virtual void zoneEnd(void* profilerData, const char* eventName, bool detached, uint64_t contextId)
{
// Do custom profiling here
// Then re-route to PVD implementation
mPvd->zoneEnd(profilerData, eventName, detached, contextId);
}
};
This is illustrated in SnippetCustomProfiler.


Often while writing tests you have some setup work that needs to happen before tests run, and you have some finishing work that needs to happen after tests run. Jest provides helper functions to handle this.
If you have some work you need to do repeatedly for many tests, you can
use beforeEach
and afterEach
.
For example, let’s say that several tests interact with a database of
cities. You have a method initializeCityDatabase()
that must
be called before each of these tests, and a method
clearCityDatabase()
that must be called after each of these
tests. You can do this with:
beforeEach(() => {
initializeCityDatabase();
});
afterEach(() => {
clearCityDatabase();
});
test('city database has Vienna', () => {
expect(isCity('Vienna')).toBeTruthy();
});
test('city database has San Juan', () => {
expect(isCity('San Juan')).toBeTruthy();
});
beforeEach
and afterEach
can handle asynchronous
code in the same ways that
tests can handle asynchronous code -
they can either take a done
parameter or return a promise.
For example, if initializeCityDatabase()
returned a promise
that resolved when the database was initialized, we would want to return
that promise:
In some cases, you only need to do setup once, at the beginning of a file.
This can be especially bothersome when the setup is asynchronous, so you
can’t just do it inline. Jest provides beforeAll
and
afterAll
to handle this situation.
For example, if both initializeCityDatabase
and
clearCityDatabase
returned promises, and the city database
could be reused between tests, we could change our test code to:
beforeAll(() => {
return initializeCityDatabase();
});
afterAll(() => {
return clearCityDatabase();
});
test('city database has Vienna', () => {
expect(isCity('Vienna')).toBeTruthy();
});
test('city database has San Juan', () => {
expect(isCity('San Juan')).toBeTruthy();
});
By default, the before
and after
blocks apply to
every test in a file. You can also group tests together using a
describe
block. When they are inside a
describe
block, the before
and
after
blocks only apply to the tests within that
describe
block.
For example, let’s say we had not just a city database, but also a food database. We could do different setup for different tests:
// Applies to all tests in this file
beforeEach(() => {
return initializeCityDatabase();
});
test('city database has Vienna', () => {
expect(isCity('Vienna')).toBeTruthy();
});
test('city database has San Juan', () => {
expect(isCity('San Juan')).toBeTruthy();
});
describe('matching cities to foods', () => {
// Applies only to tests in this describe block
beforeEach(() => {
return initializeFoodDatabase();
});
test('Vienna <3 sausage', () => {
expect(isValidCityFoodPair('Vienna', 'Wiener Schnitzel')).toBe(true);
});
test('San Juan <3 plantains', () => {
expect(isValidCityFoodPair('San Juan', 'Mofongo')).toBe(true);
});
});
Note that the top-level beforeEach
is executed before the
beforeEach
inside the describe
block. It may
help to illustrate the order of execution of all hooks.
beforeAll(() => console.log('1 - beforeAll'));
afterAll(() => console.log('1 - afterAll'));
beforeEach(() => console.log('1 - beforeEach'));
afterEach(() => console.log('1 - afterEach'));
test('', () => console.log('1 - test'));
describe('Scoped / Nested block', () => {
beforeAll(() => console.log('2 - beforeAll'));
afterAll(() => console.log('2 - afterAll'));
beforeEach(() => console.log('2 - beforeEach'));
afterEach(() => console.log('2 - afterEach'));
test('', () => console.log('2 - test'));
});
// 1 - beforeAll
// 1 - beforeEach
// 1 - test
// 1 - afterEach
// 2 - beforeAll
// 1 - beforeEach
// 2 - beforeEach
// 2 - test
// 2 - afterEach
// 1 - afterEach
// 2 - afterAll
// 1 - afterAll
Jest executes all describe handlers in a test file before it
executes any of the actual tests. This is another reason to do setup and
teardown inside before*
and after*
handlers
rather than inside the describe blocks. Once the describe blocks are
complete, by default Jest runs all the tests serially in the order they
were encountered in the collection phase, waiting for each to finish and
be tidied up before moving on.
Consider the following illustrative test file and output:
describe('outer', () => {
console.log('describe outer-a');
describe('describe inner 1', () => {
console.log('describe inner 1');
test('test 1', () => {
console.log('test for describe inner 1');
expect(true).toEqual(true);
});
});
console.log('describe outer-b');
test('test 1', () => {
console.log('test for describe outer');
expect(true).toEqual(true);
});
describe('describe inner 2', () => {
console.log('describe inner 2');
test('test for describe inner 2', () => {
console.log('test for describe inner 2');
expect(false).toEqual(false);
});
});
console.log('describe outer-c');
});
// describe outer-a
// describe inner 1
// describe outer-b
// describe inner 2
// describe outer-c
// test for describe inner 1
// test for describe outer
// test for describe inner 2
If a test is failing, one of the first things to check should be whether
the test is failing when it’s the only test that runs. In Jest it’s simple
to run only one test - just temporarily change that
test
command to a test.only
:
test.only('this will be the only test that runs', () => {
expect(true).toBe(false);
});
test('this test will not run', () => {
expect('A').toBe('A');
});
If you have a test that often fails when it’s run as part of a larger
suite, but doesn’t fail when you run it alone, it’s a good bet that
something from a different test is interfering with this one. You can
often fix this by clearing some shared state with beforeEach
.
If you’re not sure whether some shared state is being modified, you can
also try a beforeEach
that just logs data.


Enter two (or all 3) values you know. Press solve and the program will give the thrid value, or if the pythagorean triangle is not possible, return an error message.
No solutions
Some common pythagorean triples are, (3, 4, 5), (6, 8,10), (5, 12, 13), (9, 12, 15), (8, 15, 17), (12, 16, 20), (15, 20, 25), (7, 24, 25), (10, 24, 26), (20, 21, 29), (18, 24, 30), (16, 30, 34), (21, 28, 35)


Pin Session Setup
A simple session setup example using pin codes and guest access via
cct.Auth.guest
.
Enter PIN
Join room
OR
Create room with random PIN
In room with pin
345
Other users in the room:


Main
Benjamin D. Best, PhD
Environmental Data Scientist
Currently working on automation and visualization of environmental data and scientific workflows. Seeking to continue promulgating these technical skills for solving pressing environmental problems.
Education
Ph.D. in Marine Science and Conservation
Nicholas School of the Environment, Duke
Durham, NC
2016
Dissertation: Data to Decision in a Dynamic Ocean: Robust Species Distribution Models and Spatial Decision Frameworks
M.S. in Environmental Sciences
Nicholas School of the Environment, Duke
Durham, NC
2007
Thesis: Geospatial Modeling of Habitat and Connectivity
B.A. in Geography, B.S. in Aquatic Biology
University of California Santa Barbara (UCSB)
Santa Barbara, CA
1998
Professional Experience
Environmental Data Scientist & Founder
EcoQuants, LLC
Santa Barbara, CA
2016 - present
Lecturer (part-time)
Masters in Environmental Data Science, University of California
Santa Barbara, CA
202 - 2022
Lecturer (part-time)
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2014 – 2016
Senior Analyst, Ocean Health Index
National Center for Ecological Analysis & Synthesis, UCSB
Santa Barbara, CA
2014 – 2016
Research Associate, Marine Geospatial Ecology Lab
Nicholas School of the Environment, Duke
Durham, NC
2002 – 2008
Computer & Network Technologist
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2000 – 2002
Database Developer & IT Consultant
European Human Rights Foundation
Brussels, Belgium
1998 – 1999
Lab and Scuba Diving Research Assistant
Marine Biogeography Lab of Dr. Steven Gaines, UCSB
Santa Barbara, CA
1997 – 1998
Teaching Experience
Machine Learning in Environmental Science
Masters in Environmental Data Science, University of California
Santa Barbara, CA
2022
Team Science, Collaborative Analysis and Project Management
Masters in Environmental Data Science, University of California
Santa Barbara, CA
2021
Geographic Information Systems (GIS)
Cal State Channel Islands
Camarillo, CA
2020
GIS
Environmental Studies, UCSB
Santa Barbara, CA
2019
GIS
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2016
Environmental Informatics
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2016
Landscape Ecology
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2015
Advanced Topics in GIS
Bren School of Env. Sci. & Mgmt., UCSB
Santa Barbara, CA
2014, 2015
Marine GIS
Nicholas School of the Env., Duke
Durham, NC
2012
Awards
NOPP Excellence in Partnering Award
Project: Marine Biodiversity Observation Network (EcoQuants)
Santa Barbara, CA
2017
Special Achievement in GIS
Software: Marine Geospatial Ecology Tools (Duke). Award presented by Jack Dangermond at Esri International User Conference.
Durham, NC
2012
Strategic Environmental Research and Development Program Project of the Year in Sustainable Infrastructure
Project: Mapping Cetacean Habitat (Duke)
Durham, NC
2008
Audrey Lynn Copeland Memorial Award for Excellence in Ecology Evolution and Marine Biology
Nominated by Dr. Steven Gaines (UCSB)
Santa Barbara, CA
1998
President’s Undergraduate Research Fellowship
Proposed evaluating genetic distance of continental versus island samples to test rafting on kelp holdfasts by brooding sea cucumbers (UCSB)
Santa Barbara, CA
1997
Howard Hughes Medical Internship
Worked with Dr. Peter Collins manipulating hormonal levels of fish in lab and slicing the brains to evaluate efficacy for mariculture purposes (UCSB)
Santa Barbara, CA
1996
Publications
37. Webenizing Condition Reports: Communicating Data-Driven Ecosystem Indicators in a Visually Engaging and Interactive Online Platform
National Marine Sanctuaries Conservation Series
N/A
2021
Spector P, BD Best, J Ranganathan, T Murray, JA Brown, C Caldow, G Canonico, A DeVogelaere
36. Reef-Fish Abundance, Biomass, and Biodiversity Inside and Outside No-Take Marine Zones in the Florida Keys National Marine Sanctuary: 1999–2018
Oceanography
N/A
2021
Medina M, C Estes, BD Best, C Stallings, E Montes, L McEachron, F Muller-Karger
35. tbeptools: An R package for synthesizing estuarine data for environmental research
Journal of Open Source Software
N/A
2021
Beck MW, MN Schrandt, MR Wessel, ET Sherwood, GE Raulerson, AA Budihal, BD Best
34. Improving the IEA approach using principles of open data science
Coastal Management
N/A
2021
Bastille K, S Hardison, L DeWitt, J Brown, J Samhouri, S Gaichas, S Lucey, K Kearney, BD Best, S Cross, S Large, E Spooner
33. Data-driven approach for highlighting priority areas for protection in marine areas beyond national jurisdiction
Marine Policy
N/A
2020
Best BD, ME Visalli*, RB Cabral, W Cheung, N Clark, C Garilao, K Kaschner, …, DJ McCauley
* shared first authorship
32. Submarine Cable Analysis for U.S. Marine Renewable Energy Development
Golden, CO: National Renewable Energy Laboratory. NREL/TP-5000-71125.
N/A
2019
Best BD, L Kilcher
31. Global Observational Needs and Resources for Marine Biodiversity
Frontiers in Marine Science
N/A
2019
Canonico G, PL Buttigieg, E Montes, CA Stepien, D Wright, …, BD Best, … BJ Murton
30. Minimizing wildlife impacts for offshore wind energy development: Winning tradeoffs for birds in space and cetaceans in time
PLoS ONE
N/A
2019
Best BD, PN Halpin
29. A Global Database of Intentionally Deployed Wrecks to Serve as Artificial Reefs
Data in Brief
N/A
2018
Ilieva I, L Jouvet, L Seidelin, BD Best, S Aldabet, R da Silva, D Amor A Ovando
28. Advancing Marine Biological Observations linking the Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) Frameworks
Frontiers in Marine Science
N/A
2018
Muller-Karger FE, P Miloslavich, NJ Bax, S Simmons, MJ Costello, IS Pinto, G Canonico, W Turner, M Gill, E Montes, BD Best, J Pearlman, P Halpin, …, G Geller
27. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems
Ecological Applications
N/A
2018
Muller-Karger FE, E Hestir, C Ade, K Turpie, D Roberts, D Siegel, R Miller, …, F Davis, BD Best, …
26. Our path to better science in less time using open data science tools
Nature Ecology & Evolution
N/A
2017
Lowndes JS, BD Best, C Scarborough, JC Afflerbach, MR Frazier, CC O’Hara, N Jiang, BS Halpern
25. Habitat-based cetacean density models for the U.S. Atlantic and Gulf of Mexico
Scientific Reports
N/A
2016
Roberts JJ, BD Best, L Mannocci, E Fujioka, PN Halpin, DL Palka, LP Garrison, KD Mullin, TVN Cole, CB Khan, WA McLellan, DA Pabst, GG Lockhart
24. Best practices for assessing ocean health in multiple contexts using tailorable frameworks
PeerJ
N/A
2015
Lowndes, JSS, EJ Pacheco, BD Best, C Scarborough, C Longo, SK Katona, BS Halpern
23. Updated marine mammal distribution and abundance estimates in coastal British Columbia
Journal of Cetacean Research and Management
N/A
2015
Best BD, CH Fox, R Williams, PN Halpin, PC Paquet
22. Patterns and Emerging Trends in Global Ocean Health
PLoS ONE
N/A
2015
Halpern BS, CL Longo, JSS Lowndes, BD Best, M Frazie, SK Katona, … ER Selig
21. Assessing the health of the U.S. west coast with a regional-scale application of the Ocean Health Index
PLoS ONE
N/A
2014
Halpern BS, CL Longo, C Scarborough, D Hardy, BD Best, S Doney, S Katona, K McLeod, A Rosenberg, J Samhouri
20. Data Integration for Conservation: Leveraging Multiple Data Types to Advance Ecological
journal
N/A
2014
Fujioka E, CY Kot, BP Wallace, BD Best, J Moxley, J Cleary, B Donnelly, PN Halpin
19. A Regional-Scale Ocean Health Index for Brazil
PLoS ONE
N/A
2014
Elfes CT, CL Longo, BS Halpern, D Hardy, C Scarborough, BD Best, T Pinheiro, G Dutra
18. Habitat-specific larval dispersal and marine connectivity: Implications for reserve design
Ecosphere.l
N/A
2013
Anadón JD, M del Mar Mancha-Cisneros, BD Best, LR Gerber
17.  An index to assess the health and benefits of the global ocean
Nature
N/A
2012
Halpern BS, C Longo, D Hardy, KL McLeod, JF Samhouri, SK Katona, K Kleisner, SE Lester, J O’Leary, M Ranelletti, AA Rosenberg, C Scarborough, ER Selig, BD Best, DR Brumbaugh, FS Chapin III, LB Crowder, KL Daly, SC Doney, C Elfes, MJ Fogarty, SD Gaines, K Jacobsen, LB Karrer, HM Leslie, E Neeley, D Pauly, S Polasky, B Ris, K St. Martin, GS Stone, UR Sumaila, D Zeller
15. Online Cetacean Habitat Modeling System for the U.S. East Coast and Gulf of Mexico
Endangered Species Research
N/A
2012
Best BD, PN Halpin, AJ Read, E Fujioka, CP Good, EA LaBrecque, RS Schick, JJ Roberts, LJ Hazen, SS Qian, DL Palka, LP Garrison, WA McLellan
14. Community structure in pelagic marine mammals at large spatial scales
Marine Ecology Progress Series
N/A
2011
Schick RS, PN Halpin, AJ Read, DL Urban, BD Best, CP Good, JJ Roberts, EA LaBrecque, DL Palka, H Whitehead, WA McClellan, DA Pabst, C Dunn
13. Dynamic habitat models: a new perspective in analyzing fisheries bycatch
Ecology Letters
N/A
2011
Zydelis R, RL Lewison, SA Shaffer, JE Moore, AM Boustany, JJ Roberts, M Sims, DC Dunn, BD Best, Y Tremblay, MA Kappes, PN Halpin, DP Costa, LB Crowder
12. Are all seeds equal? Spatially explicit comparisons of seed fall and sapling recruitment in a tropical forest
Ecology Letters
N/A
2010
Swamy V, J Terborgh,KG Dexter, BD Best, P Alvarez, F Cornejo
11. Spatio-temporal gap analysis of OBIS-SEAMAP project data: Assessment and way forward
PLoS ONE
N/A
2010
Kot CY, E Fujioka, LJ Hazen LJ, BD Best, AJ Read, PN Halpin
10. Marine Geospatial Ecology Tools: an integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++
Ecosystem Modeling & Software
N/A
2010
Roberts JJ, BD Best, DC Dunn, EA Treml, PN Halpin
9. Program Design: Developing a Comprehensive Data Strategy
Chapter 11 in Integrating and Applying Science: A handbook for effective coastal ecosystem assessment. IAN press.
N/A
2010
Lookingbill T, MT Trice, S Carter, G Sanders G, BD Best, BJ Longstaff, JM Hawkey
8. Near bottom current direction inferred from comatulid crinoid feeding postures on the Terre Adélie and George V shelf, East Antarctica
Deep Sea Research Part II: Topical Studies in Oceanography
N/A
2010
Eléaume M, RJ Beaman, HJ Griffiths, BD Best, MK Riddle, V Wadley, SR Rintoul, LG Hemery, N Améziane
7. Predictive Marine Mammal Modeling for Queen Charlotte Basin, British Columbia
Technical Report for Raincoast Conservation Foundation. 120 p.
N/A
2009
Best BD, PN Halpin
6. Striking the right balance in right whale conservation
Canadian Journal of Fisheries and Aquatic Sciences
N/A
2009
Schick RS, PN Halpin, AJ Read, CK Slay, SD Kraus, BR Mate, MF Baumgartner, JJ Roberts, BD Best, CP Good, SR Loarie, JS Clark
5. OBIS-SEAMAP: The world data center for marine mammal, sea bird and sea turtle distributions
Oceanography
N/A
2009
Halpin PN, AJ Read, E Fujioka, BD Best, B Donnelly, LJ Hazen, C Kot, K Urian, E LaBrecque, C Good, LB Crowder, KD Hyrenbach
4. Understanding movement data and movement processes: current and emerging directions
Ecology Letters
N/A
2008
Schick RS, SR Loarie, F Colchero, BD Best, A Boustany, DA Conde, PN Halpin, LN Joppa, CM McClellan, JS Clark
3. Geospatial web services within a scientific workflow: Predicting marine mammal habitats in a dynamic environment
Ecological Informatics
N/A
2007
Best BD, PN Halpin, E Fujioka, AJ Read, SS Qian, LJ Hazen, RS Schick
2. Marine Animal Data Applications
Chapter 4 in ArcMarine: GIS for a Blue Planet
N/A
2007
Halpin PN, E Fujioka, MS Coyne, BD Best
1. OBIS-SEAMAP: developing a biogeographic research data commons for the ecological studies of marine mammals, seabirds, and sea turtles
Marine Ecology Progess Series
N/A
2006
Halpin PN, AJ Read, BD Best, KD Hyrenbach KD, E Fujioka, MS Coyne, LB Crowder, SA Freeman, C Spoerri


Long Story Short: Step-by-Step Instruction on How to be a Real Russian Man
Sergey Sabirov during the Summer
        I am a Russian born male and I currently reside in the United State while working on my bachelor's degree in electrical engineering at Virginia Tech. In order to finish my degree by May 2015, I enrolled in Summer I and Summer II terms. Thus, I do not have too much free time. During the summer I also work part-time as a computer technician in one of the computer stores in Blacksburg. I live with my wonderful Russian girlfriend in a cozy house 3 minutes away from VT campus. I am mad about everything relating to technology, engineering which is why I spend hours and hours every summer day on reading and watching news about it. I gain a lot of priceless knowledge about my passion at the expense of going to bed really late. However, I am a night person, so it is not a big deal. Despite being quite busy, I have already done some fun stuff during this hot season. For example, I went to observe the rocket launch by NASA at the Virginia Wallops Flight Facility a few weeks ago.


Chapter 5 The dplyr Package
5.1 Packages Used in This Chapter
5.2 Key Concepts
For a nice overview of all of the dataset verbs in dplyr
check out The dplyr
Cheatsheet.
5.3 The dplyr Package
This chapter will demonstrate a few basic dataset functions contained within the dplyr package. There are a few things to note as you get started:
dplyr
functions are all data verbs that accept a dataset as the argument, transform the data, and return a new dataset.- The first argument is always the dataset name, and variables (columns) can be referenced directly by name without quotation marks.
dplyr
functions will return data as a “tibble” (tbl_df class), which is a regular data frame wrapped in a nice print method that includes metadata in the printout.
For example, here is the regular data frame preview:
### weight group
### 1 4.17 ctrl
### 2 5.58 ctrl
### 3 5.18 ctrl
### 4 6.11 ctrl
### 5 4.50 ctrl
### 6 4.61 ctrl
### 7 5.17 ctrl
### 8 4.53 ctrl
### 9 5.33 ctrl
### 10 5.14 ctrl
The tibble will print the first few rows and columns of a dataset, and includes dataset dimensions and vector classes:
### # A tibble: 30 x 2
### weight group
### <dbl> <fct>
### 1 4.17 ctrl
### 2 5.58 ctrl
### 3 5.18 ctrl
### 4 6.11 ctrl
### 5 4.5 ctrl
### 6 4.61 ctrl
### # ... with 24 more rows
We will cover the following dplyr functions in this section of the textbook:
| DATA VERB | ACTION |
|---|---|
| filter() | Select rows |
| select() | Select columns |
| arrage() | Sort the dataset by one or more columns |
| mutate() | Create a new variable by transforming an existing variable or variables |
| summarize() | Create summary statistics for specified variables |
| group_by() | Split the dataset (implicitly) into a separate dataset for each group |
5.4 Use filter() to Subset Rows
In the last chapter we learned how to use operators to translate from plain English questions to data queries.
As an example, a city manager might want to know the average amount owed on a delinquent property tax.
| tax.id | amount.owed |
|---|---|
| 1 | $0 |
| 2 | $5,549 |
| 3 | $0 |
| 4 | $1,709 |
| 5 | $0 |
| 6 | $634 |
| 7 | $0 |
| 8 | $0 |
| 9 | $0 |
| 10 | $9,353 |
We could write the query as follows:
- Define the group.
- Select the data that belongs to the group.
- Analyze the group subset.
these.late <- taxdat$amount.owed > 0 # 1. Define group
overdue.amounts <- taxdat$amount.owed[ these.late ] # 2. Select data
overdue.amounts
### [1] 5549 1709 634 9353 1366
mean( overdue.amounts ) # 3. Analyze data
### [1] 3722.2
The filter() function in the dplyr package is a slightly more elegant verb for selecting the group and subsetting the data by rows.
filter( dataset name , logical expression )
filter( taxdat, amount.owed > 0 )
### tax.id amount.owed
### 1 2 5549
### 2 4 1709
### 3 6 634
### 4 10 9353
### 5 12 1366
Note that we do not need to reference the dat$ references inside dplyr functions.
5.5 select() Columns
In the core R operators, we select colums from a dataset using the subset function:
| Murder | Assault | UrbanPop | Rape | |
|---|---|---|---|---|
| Alabama | 13.2 | 236 | 58 | 21.2 |
| Alaska | 10 | 263 | 48 | 44.5 |
| Arizona | 8.1 | 294 | 80 | 31 |
| Arkansas | 8.8 | 190 | 50 | 19.5 |
| California | 9 | 276 | 91 | 40.6 |
| Colorado | 7.9 | 204 | 78 | 38.7 |
| Murder | Assault | |
|---|---|---|
| Alabama | 13.2 | 236 |
| Alaska | 10 | 263 |
| Arizona | 8.1 | 294 |
| Arkansas | 8.8 | 190 |
| California | 9 | 276 |
| Colorado | 7.9 | 204 |
The select() function converts this oeration into a data verb:
| Murder | Assault | |
|---|---|---|
| Alabama | 13.2 | 236 |
| Alaska | 10 | 263 |
| Arizona | 8.1 | 294 |
| Arkansas | 8.8 | 190 |
| California | 9 | 276 |
| Colorado | 7.9 | 204 |
The select() function adds a lot of additional arguments that make it easy to quickly identify and keep only the necessary variables. We can demonstrate a few using the built-in iris dataset in R.
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species |
|---|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 | setosa |
| 4.9 | 3 | 1.4 | 0.2 | setosa |
| 4.7 | 3.2 | 1.3 | 0.2 | setosa |
| 4.6 | 3.1 | 1.5 | 0.2 | setosa |
| 5 | 3.6 | 1.4 | 0.2 | setosa |
| 5.4 | 3.9 | 1.7 | 0.4 | setosa |
Exclude a column with the negative sign:
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width |
|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 |
| 4.9 | 3 | 1.4 | 0.2 |
| 4.7 | 3.2 | 1.3 | 0.2 |
| 4.6 | 3.1 | 1.5 | 0.2 |
| 5 | 3.6 | 1.4 | 0.2 |
| 5.4 | 3.9 | 1.7 | 0.4 |
Select by variable names:
| Sepal.Length | Petal.Length |
|---|---|
| 5.1 | 1.4 |
| 4.9 | 1.4 |
| 4.7 | 1.3 |
| 4.6 | 1.5 |
| 5 | 1.4 |
| 5.4 | 1.7 |
| Petal.Length | Petal.Width |
|---|---|
| 1.4 | 0.2 |
| 1.4 | 0.2 |
| 1.3 | 0.2 |
| 1.5 | 0.2 |
| 1.4 | 0.2 |
| 1.7 | 0.4 |
| Sepal.Length | Sepal.Width |
|---|---|
| 5.1 | 3.5 |
| 4.9 | 3 |
| 4.7 | 3.2 |
| 4.6 | 3.1 |
| 5 | 3.6 |
| 5.4 | 3.9 |
Or we can select by a range of variables by placing a colon between the first and last:
| Petal.Length | Petal.Width | Species |
|---|---|---|
| 1.4 | 0.2 | setosa |
| 1.4 | 0.2 | setosa |
| 1.3 | 0.2 | setosa |
| 1.5 | 0.2 | setosa |
| 1.4 | 0.2 | setosa |
| 1.7 | 0.4 | setosa |
5.6 arrange() Sorts Data
The arrange() function sorts a dataset by one or more columns. By default, it sorts from smallest to largest.
| weight | group |
|---|---|
| 3.59 | trt1 |
| 3.83 | trt1 |
| 4.17 | ctrl |
| 4.17 | trt1 |
| 4.32 | trt1 |
If we prefer the dataset be sorted from largest to smallest, we can applyr the descending function desc() to the sort variable.
| weight | group |
|---|---|
| 6.31 | trt2 |
| 6.15 | trt2 |
| 6.11 | ctrl |
| 6.03 | trt1 |
| 5.87 | trt1 |
Or alternatively we can use the shortcut syntax of adding a negative sign in front of the variable:
We can also sort by multiple columns at once:
| group | weight |
|---|---|
| ctrl | 5.17 |
| ctrl | 5.18 |
| ctrl | 5.33 |
| ctrl | 5.58 |
| ctrl | 6.11 |
| trt1 | 4.69 |
| trt1 | 4.81 |
| trt1 | 4.89 |
| trt1 | 5.87 |
| trt1 | 6.03 |
NOTE, the equivalent core R functions would use subset[] and order() functions together. You might see examples on Stack Overflow written like this:
| weight | group | |
|---|---|---|
| 21 | 6.31 | trt2 |
| 28 | 6.15 | trt2 |
| 4 | 6.11 | ctrl |
| 17 | 6.03 | trt1 |
| 15 | 5.87 | trt1 |
| 29 | 5.8 | trt2 |
As you can see, the dplyr
versions are typically more intuitive and concise!
5.7 Variable Transforms with mutate()
One of the most common operations in data analysis is to create a new variable from one or more existing variables, a “variable transformation”. Some examples include:
x_squared <- x * x
celsius <- ( fereinheit - 32 ) * ( 5/9 )
body.mass.index <- kg / meters^2
per.capita.income <- income / population
The mutate() function creates a new transformed variable from the forumala you specify and adds it to the original dataset.
As an example, perhaps we have data on the number of nonprofits located in each US city. If we look at the raw count of nonprofits, it makes it look as though the large cities have the most vibrant nonprofit sectors:
| city | nonprofits |
|---|---|
| NEW YORK | 26503 |
| LOS ANGELES | 17417 |
| WASHINGTON | 15701 |
| SAN FRANCISCO | 12149 |
| BOSTON | 10536 |
| CHICAGO | 10247 |
| PHILADELPHIA | 8538 |
| DALLAS | 6008 |
| SEATTLE | 5830 |
| ATLANTA | 5438 |
But these numbers may be misleading. Once we account for the population size through a new nonprofit density metric (nonprofits per 1,000 residents), we can see that some smaller cities have higher densities per capita.
| city | density |
|---|---|
| PORTLAND | 2.65 |
| MADISON | 2.415 |
| ANCHORAGE | 2.156 |
| SANTA BARBARA | 1.928 |
| LINCOLN | 1.886 |
| WASHINGTON | 1.866 |
| ASHEVILLE | 1.805 |
| TALLAHASSEE | 1.785 |
| BOSTON | 1.692 |
| ALBANY | 1.685 |
5.8 rename() Variables
More often than not you will read in a dataset that has strange or meaningless variable names:
x1 <- c("male","male","female","female")
x2 <- c("treatment","control","treatment","control")
dat <- data.frame( x1, x2 )
| x1 | x2 |
|---|---|
| male | treatment |
| male | control |
| female | treatment |
| female | control |
The core R functions make it a little awkward to rename these variables.
| gender | study.group |
|---|---|
| male | treatment |
| male | control |
| female | treatment |
| female | control |
The rename() function provides a more intuitive syntax:
5.9 summarize() Variables
The next chapter will cover descriptive statistics in more depth, including some useful packages and functions for generating statistics for a variety of variable types and and reporting nice tables.
Most descriptive functions, however, are not data verbs in the sense that they accept a data frame as the input and return a transformed data frame or tibble. The dplyr function summarize() is the primary function that will be used in data recipes (see the next chapter).
Like other data verbs, the first argument will be the input dataset. In this case, there is no pre-determined set of descriptive statistics. The user needs to specify the desired metrics.
| group | gender | strength |
|---|---|---|
| control | female | 121 |
| control | male | 93 |
| treatment | female | 123 |
| control | male | 108 |
| treatment | male | 94 |
| treatment | female | 115 |
summarize( dat, n=n(), min=min(strength), mean=mean(strength), max=max(strength) )
### n min mean max
### 1 100 57 102.5 155
Similarly, the native table() function is useful, but returns a table object. The dplyr count() function will function almost identically, but it will return a data frame.
dplyr::count( dat, group, gender )
### # A tibble: 4 x 3
### group gender n
### <fct> <fct> <int>
### 1 control female 24
### 2 control male 24
### 3 treatment female 29
### 4 treatment male 23
The real power of this function is the ability to use it with the group_by() function to analyze outcomes for many data subsets at once.
grouped.dat <- group_by( dat, group, gender )
dplyr::summarize( grouped.dat,
n=n(),
min=min(strength),
mean=round( mean(strength), 1 ),
max=max(strength) )
### # A tibble: 4 x 6
### # Groups: group [?]
### group gender n min mean max
### <fct> <fct> <int> <dbl> <dbl> <dbl>
### 1 control female 24 75 110. 134
### 2 control male 24 57 81.4 108
### 3 treatment female 29 87 123. 155
### 4 treatment male 23 73 90.4 112
We will discuss this functionality in-depth two chapters from now.


In order to improve the performance of the game we needed to do all the computation of the skinning on the GPU with shaders.
Every vertex of a mesh has it's attachment to a bone and weight. What I did was to send an array of transformation matrix of the bones, so in the shader I could get de rotation, position, scale of the skeleton.
Then every vertex got two atributes:
I got a bug that some model tended to go the senter because I was conserving the original position instiead of start at (0,0,0) and add the result of the trasformations.
Our game have some narrative, and we needed some screen to explain the history. A screen with moving images and subtitles, to do this I searched a way to put subtitles easy and fast. And found this website that let's you put subtitles and download it in .json format, that we could easly read in our engine.
I got the oportunity to do the characters, and learn a lot about the art pipeline, how to do a fast retopology in maya, paint in substance and made a model base for the retopology.


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I fail to understand diet drinks.

I've long been a big fan of diluting fruit juices and pop with water to bring down the crazy sweetness but still have some interesting flavour. I started when I was trying to drop the carbohydrate component of juice while playing volleyball in high school. I've even drank a lot of sparkling water (until I read that it can remove calcium from your body - which is of course true for all carbonated drinks).
Nothing compares to the crappy taste of diet drinks. They taste like metal. Yuk. Oh, not to mention there's nothing to prove that they actually don't cause weight gain, either directly or indirectly since they've been accused of confusing the body that it was supposed to be getting calories, and yet received none.
About this entry
You"re currently reading "I fail to understand diet drinks.," an entry on a crick in the net
- Published:
- 08.19.08 / 3pm
- Category:
- Circular File
hrm. I drink diet drinks pretty much exclusively, but it's really not for the taste. I worked at Coca Cola Bottling when I was in university, and it was there that I saw what happened to high fructose corn syrup after being exposed to air and 100-degree C temps for an hour or so. I haven't been able to drink a sugared beverage since (except for tonic water).
I am a fan of things like Gatorade G2, just wish they'd offer a few more flavours. I miss the citrus. I'll just stick to that, grapefruit juice, and various berry juices with soda (just take your calcium supplements!)
ooo! What happened!? I'd love to see that.
I'll drink anything, ‘cept the aspertame acersulfate acersuckass chemicals. I just dilute it with water, usually max 1/3 alien material, 2/3 tap water. Even orangina will keep a little pop from the carbonic acid.
G2 I'm really happy to see, although I've not found it as often in Canada as just south of the border. The amount of sugar in most energy drinks is insane.
okay, waitaminit.
Sugar and salt are the whole point of gatorade, no?
the point is to replace lost salt and carb (or make glucose available in the blood) during and after exercise.
Energy drinks, on the other hand, yeah - I'd probably drink a diet red bull. I'm just in it for an 80mg caffeine fix anyway
Yes, but if you're trying to lose weight the sugar level in Gatorade is high. The gatorade.ca (it's flash so I can't link in anyways) points out that gatorade is the optimum level of sugar but surely you can get by with less - especially with non-ideal non-athlete diets which are usually high in carbohydrates.
I also think the gatorade science is based before all the bad side effects of sugar became better known. Pedialyte (for infants) is used for exercise because of the sugar level of gatorade. link to the google. Apparently some people swear by pedialyte as a hangover aid. (hmmm... too bad pedialyte is expensive.)
The other side effect of sugar is true for both exercise drinks and energy drinks: the crash.
I can't believe redbull is a dollar more than most other energy drinks. I'll drink the quebec alternative (guru) that tastes like flinstones vitamins instead of cough syrup. (aside redbull qualifies as a flaming moe ingredient in my book).
(Nutrition nerd time...)
I tend to save gatorade for what it's designed for: during and immediately following exercise. As far as I know, In the former case, making the sugar available quickly in the bloodstream won't be followed by the usual insulin response (see for example http://www.ultrunr.com/glycemic.html)
'The concerns about carbohydrate feedings increasing insulin and thus depressing fatty acid availability are obviated when the carbohydrate is fed during exercise because the exercise-induced elevation in epinephrine depresses the release of insulin from the pancreas.'
In the latter case, if your muscle/liver glycogen reserve is depleted, and you are ingesting the carb within a short window after the exercise, it will essentially be stored right back in the muscles and liver via glycogen synthesis, again avoiding the insulin response. (the aforementioned article goes into it also, but there are many other studies as well).
The only real danger, then, sports-wise is consuming a High-GI carb *before* the event, where the resulting 'crash' may make you feel crappy at the start. There doesn't seem to be an effect on performance, though.
Energy drinks, well, again - I drink ‘em for the caffeine - notably, for a *lower* dose than I would get if I grabbed a coffee instead. That, and I drink the cheap stuff: Red Rain. 0.79 a can.


--- author: Steve Gill categories: app date: '2011-07-12 23:35:54' permalink: /2011/07/12/phonegap-1-0-0-release-candidate-1-out-now/ slug: phonegap-1-0-0-release-candidate-1-out-now status: publish title: PhoneGap 1.0.0 Release Candidate 1 out now! type: post format: html ---
Hey Everyone,
I got some big news! PhoneGap 1.0.0rc1 has been released today. You can go download it now from http://www.phonegap.com/releasecandidate/.
PhoneGap 1.0.0 is set to officially be released on PhoneGap Day, July 29th, 2011.
Please take a look at our release plan to view a checklist of features that were updated/added. We would greatly appreciate if members of this fantastic community can download the release candidate and report any bugs you find on github. Follow the wiki for instructions on how to submit bugs.
I have included a file changes.txt into the download that shows commits from PhoneGap 0.9.6 to PhoneGap 1.0.0rc1. View that file to see some of the changes our developers made.
Cheers, -Steve Gill


mockspresso-mockito / com.episode6.hackit.mockspresso.mockito / MockitoMockMaker / <init>
<init>
MockitoMockMaker()
Deprecated: This functionality is internal and should not be exposed. This class will be marked internal/protected in a future release
A com.episode6.hackit.mockspresso.api.MockerConfig.MockMaker
for Mockito


Displays when database change is successful.
Displays when database change results in error but we allow user to temporarily persist the bad data. User action will eventually be needed to correct the bad data.
Displays when database change fails. User action needed in order to save.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod.
Displays when feedback should be provided to the user. No user action needed.


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