用語
Term |
Definition |
| amd64 | AMD64 is AMD’s 64-bit extension of Intel’s x86 architecture, and is also referred to as x86_64 (or x86-64). |
| aufs | aufs (advanced multi layered unification filesystem) is a Linux filesystem that Docker supports as a storage backend. It implements the union mount for Linux file systems. |
| base image | A base image has no parent image specified in its Dockerfile. It is created
using a Dockerfile with the |
| boot2docker | boot2docker is a lightweight Linux distribution made
specifically to run Docker containers. The boot2docker management tool for Mac
and Windows was deprecated and replaced by |
| btrfs | btrfs (B-tree file system) is a Linux filesystem that Docker supports as a storage backend. It is a copy-on-write filesystem. |
| build | build（ビルド）は Dockerfile を使って Docker イメージを構築するプロセスのこと。 ビルドでは Dockerfile と「コンテキスト」（context）を利用する。 コンテキストとは、イメージがビルドされたディレクトリ内にある一連のファイルのこと。 |
| cgroups | cgroups is a Linux kernel feature that limits, accounts for, and isolates the resource usage (CPU, memory, disk I/O, network, etc.) of a collection of processes. Docker relies on cgroups to control and isolate resource limits. Also known as : control groups |
| cluster | A cluster is a group of machines that work together to run workloads and provide high availability. |
| Compose | Compose is a tool for defining and running complex applications with Docker. With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running. Also known as : docker-compose, fig |
| copy-on-write | Docker uses a copy-on-write technique and a union file system for both images and containers to optimize resources and speed performance. Multiple copies of an entity share the same instance and each one makes only specific changes to its unique layer. Multiple containers can share access to the same image, and make container-specific changes on a writable layer which is deleted when the container is removed. This speeds up container start times and performance. Images are essentially layers of filesystems typically predicated on a base image under a writable layer, and built up with layers of differences from the base image. This minimizes the footprint of the image and enables shared development. For more about copy-on-write in the context of Docker, see Understand images, containers, and storage drivers. |
| container | container（コンテナー）とは docker イメージ の実行時インスタンスのこと。 Docker コンテナーは以下により構成されます。
この考え方は、あの輸送コンテナーからきています。 輸送コンテナーには標準が定義されていて、どこへでも物を輸送することができます。 Docker も標準を定義してソフトウェアを導入します。 |
| Docker | Docker とは以下を意味します。
|
| Docker Desktop for Mac | Docker Desktop for Mac is an easy-to-install, lightweight Docker development environment designed specifically for the Mac. A native Mac application, Docker Desktop for Mac uses the macOS Hypervisor framework, networking, and filesystem. It’s the best solution if you want to build, debug, test, package, and ship Dockerized applications on a Mac. Docker Desktop for Mac supersedes Docker Toolbox as state-of-the-art Docker on macOS. |
| Docker Desktop for Windows | Docker Desktop for Windows is an easy-to-install, lightweight Docker development environment designed specifically for Windows 10 systems that support Microsoft Hyper-V (Professional, Enterprise and Education). Docker Desktop for Windows uses Hyper-V for virtualization, and runs as a native Windows app. It works with Windows Server 2016, and gives you the ability to set up and run Windows containers as well as the standard Linux containers, with an option to switch between the two. Docker for Windows is the best solution if you want to build, debug, test, package, and ship Dockerized applications from Windows machines. Docker Desktop for Windows supersedes Docker Toolbox as state-of-the-art Docker on Windows. |
| Docker Hub | The Docker Hub is a centralized resource for working with Docker and its components. It provides the following services:
|
| Dockerfile | A Dockerfile is a text document that contains all the commands you would normally execute manually in order to build a Docker image. Docker can build images automatically by reading the instructions from a Dockerfile. |
| ENTRYPOINT | In a Dockerfile, an
In practice, |
| filesystem | A file system is the method an operating system uses to name files and assign them locations for efficient storage and retrieval. Examples :
|
| image | Docker images are the basis of containers. An Image is an ordered collection of root filesystem changes and the corresponding execution parameters for use within a container runtime. An image typically contains a union of layered filesystems stacked on top of each other. An image does not have state and it never changes. |
| Kitematic | A legacy GUI, bundled with Docker Toolbox, for managing Docker containers. We recommend upgrading to Docker Desktop for Mac or Docker Desktop for Windows, which have superseded Kitematic. |
| layer | In an image, a layer is modification to the image, represented by an instruction in the Dockerfile. Layers are applied in sequence to the base image to create the final image. When an image is updated or rebuilt, only layers that change need to be updated, and unchanged layers are cached locally. This is part of why Docker images are so fast and lightweight. The sizes of each layer add up to equal the size of the final image. |
| libcontainer | libcontainer provides a native Go implementation for creating containers with namespaces, cgroups, capabilities, and filesystem access controls. It allows you to manage the lifecycle of the container performing additional operations after the container is created. |
| libnetwork | libnetwork provides a native Go implementation for creating and managing container network namespaces and other network resources. It manages the networking lifecycle of the container performing additional operations after the container is created. |
| link | links provide a legacy interface to connect Docker containers running on the same host to each other without exposing the hosts’ network ports. Use the Docker networks feature instead. |
| Machine | Machine is a Docker tool which makes it really easy to create Docker hosts on your computer, on cloud providers and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them. Also known as : docker-machine |
| namespace | A Linux namespace
is a Linux kernel feature that isolates and virtualizes system resources. Processes which are restricted to
a namespace can only interact with resources or processes that are part of the same namespace. Namespaces
are an important part of Docker’s isolation model. Namespaces exist for each type of
resource, including |
| node | A node is a physical or virtual machine running an instance of the Docker Engine in swarm mode. Manager nodes perform swarm management and orchestration duties. By default manager nodes are also worker nodes. Worker nodes execute tasks. |
| overlay network driver | Overlay network driver provides out of the box multi-host network connectivity for docker containers in a cluster. |
| overlay storage driver | OverlayFS is a filesystem service for Linux which implements a union mount for other file systems. It is supported by the Docker daemon as a storage driver. |
| parent image | An image’s parent image is the image designated in the |
| persistent storage | Persistent storage or volume storage provides a way for a user to add a persistent layer to the running container’s file system. This persistent layer could live on the container host or an external device. The lifecycle of this persistent layer is not connected to the lifecycle of the container, allowing a user to retain state. |
| registry | A Registry is a hosted service containing repositories of images which responds to the Registry API. The default registry can be accessed using a browser at Docker Hub
or using the |
| repository | A repository is a set of Docker images. A repository can be shared by pushing it to a registry server. The different images in the repository can be labeled using tags. Here is an example of the shared nginx repository and its tags. |
| SSH | SSH (secure shell) is a secure protocol for accessing remote machines and applications. It provides authentication and encrypts data communication over insecure networks such as the Internet. SSH uses public/private key pairs to authenticate logins. |
| service | A service is the definition of how you want to run your application containers in a swarm. At the most basic level a service defines which container image to run in the swarm and which commands to run in the container. For orchestration purposes, the service defines the “desired state”, meaning how many containers to run as tasks and constraints for deploying the containers. Frequently a service is a microservice within the context of some larger application. Examples of services might include an HTTP server, a database, or any other type of executable program that you wish to run in a distributed environment. |
| service discovery | Swarm mode service discovery is a DNS component internal to the swarm that automatically assigns each service on an overlay network in the swarm a VIP and DNS entry. Containers on the network share DNS mappings for the service via gossip so any container on the network can access the service via its service name. You don’t need to expose service-specific ports to make the service available to other services on the same overlay network. The swarm’s internal load balancer automatically distributes requests to the service VIP among the active tasks. |
| swarm | A swarm is a cluster of one or more Docker Engines running in swarm mode. |
| Docker Swarm | Do not confuse Docker Swarm with the swarm mode features in Docker Engine. Docker Swarm is the name of a standalone native clustering tool for Docker. Docker Swarm pools together several Docker hosts and exposes them as a single virtual Docker host. It serves the standard Docker API, so any tool that already works with Docker can now transparently scale up to multiple hosts. Also known as : docker-swarm |
| swarm mode | Swarm mode refers to cluster management and orchestration features embedded in Docker Engine. When you initialize a new swarm (cluster) or join nodes to a swarm, the Docker Engine runs in swarm mode. |
| tag | A tag is a label applied to a Docker image in a repository. Tags are how various images in a repository are distinguished from each other. Note : This label is not related to the key=value labels set for docker daemon. |
| task | タスク（task）は Swarm 内でのスケジューリングの最小単位を表わします。 タスクは、Docker コンテナー、およびその内部での実行コマンドを運ぶものです。 マネージャーノードが、サービスのスケール値として設定されたレプリカ数に応じて、ワーカーノードに対してタスクを割り当てます。 以下の図は、サービスとタスク、コンテナーの関係を示すものです。 |
| Toolbox | Docker Toolbox is a legacy installer for Mac and Windows users. It uses Oracle VirtualBox for virtualization. For Macs running OS X El Capitan 10.11 and newer macOS releases, Docker Desktop for Mac is the better solution. For Windows 10 systems that support Microsoft Hyper-V (Professional, Enterprise and Education), Docker Desktop for Windows is the better solution. |
| Union file system | Union file systems implement a union mount and operate by creating layers. Docker uses union file systems in conjunction with copy-on-write techniques to provide the building blocks for containers, making them very lightweight and fast. For more on Docker and union file systems, see Docker and AUFS in practice, Docker and Btrfs in practice, and Docker and OverlayFS in practice. Example implementations of union file systems are UnionFS, AUFS, and Btrfs. |
| virtual machine | A virtual machine is a program that emulates a complete computer and imitates dedicated hardware. It shares physical hardware resources with other users but isolates the operating system. The end user has the same experience on a Virtual Machine as they would have on dedicated hardware. Compared to containers, a virtual machine is heavier to run, provides more isolation, gets its own set of resources and does minimal sharing. Also known as : VM |
| volume | A volume is a specially-designated directory within one or more containers that bypasses the Union File System. Volumes are designed to persist data, independent of the container’s life cycle. Docker therefore never automatically deletes volumes when you remove a container, nor will it “garbage collect” volumes that are no longer referenced by a container. Also known as: data volume There are three types of volumes: host, anonymous, and named:
|
| x86_64 | x86_64 (or x86-64) refers to a 64-bit instruction set invented by AMD as an extension of Intel’s x86 architecture. AMD calls its x86_64 architecture, AMD64, and Intel calls its implementation, Intel 64. |


HOW TO USE THE QUICK ORDER FACILITY
The Quick Order tab lets you place orders using a streamlined interface designed for ease of use.
1. . View a list of the products you can order by clicking in the search bar. You can list of All available products, or the Most Popular products - use the option buttons above the search bar to select the list you require.
You can narrow down the list by typing into the search bar the name of a product, or its product code, if you know the code,
Click on the product you want to add to your basket.
To clear your current search, click the clear search link.
2. Once you have clicked on a product in the search bar, you can select the quantity you require. The maximum quantity available to you is shown next to the product.
Select the quantity you require and click the Add to Order button.
3. Repeat steps 1 & 2 until your basket contains all the items you require. Click the X next to a product to remove it from your basket.
4. Ensure the delivery address shown on the right hand side is correct (if we don't yet have your address on our system no address is shown, and you will be prompted to enter it).
Add your contact name and telephone number, and any Special Instructions.
5. Click the Place Order button. The system will ask you to confirm that you want to place this order. If you do, click the OK button
6. Your order is placed. Make a note of the consignment number that is displayed. You can check the status of your order by entering the consignment number into the Track and Trace tab.


Charizard
Pokemon
Fire
/
Flying
type from the first generation of
pokemon
.
Evolves
from
Charmeleon
at level 36.
Charizard
- is the ultimate
evolution
of fire starter Kanto
Charmander
.


Montreal company says new greenhouse will be largest rooftop farm in the world
by Rachel Lau Digital reporter, CTV News Montreal ContactMONTREAL -- Montreal company Lufa Farms is building a new commercial rooftop greenhouse that it says will be the biggest rooftop farm in the world.
According to the agricultural company, its fourth greenhouse, which will be in Montreal’s Saint-Laurent borough, will measure 15,200 square metres -- the size of almost three football fields.
"This rooftop greenhouse will double our growing capacity and allow us to feed two per cent of Montreal with fresh, local vegetables," said Mohamed Hage, co-founder and CEO.
“It's an unbelievable step forward for hyper-local, sustainable urban farming.”
The greenhouse will repurpose an existing industrial roof.
"With each greenhouse, we hold ourselves to an ever-higher standard for sustainable design,” said Lauren Rathmell, co-founder and greenhouse director.
“Our new farm will be the most energy-efficient to date and integrate all our learnings from the last 10 years to responsibly grow more vegetables."
Saint-Laurent Mayor Alan DeSousa says he welcomes the initiative as a way to facilitate residents’ access to local, sustainably grown produce while promoting healthy living.
“It will make it possible to fight against heat islands in our district, where more than 70 per cent of the surface area is devoted to industrial and commercial activities,” he said.
Representatives with Lufa Farms say construction began last September and is expected to finish by March 2020.
Lufa Farms was founded in 2009.


Sets a property (by name and value).
| Attribute | Description | Required |
| name | the name of the property to set. | Yes |
| value | the value of the property. | Yes |
<property name="foo" value="42"/>
sets the property foo
to the value "42".
Copyright © 2000,2001,2002 Paul Bethe and Richie Bielak. All rights Reserved.


Reports the calls to
System.exit()
,
Runtime.exit()
, or
Runtime.halt()
. Calls to these methods make the calling code unportable to most application servers.
Powered by InspectionGadgets


Last_Man_Standing
Last Man Standing follows Mike Baxter, a married father of three girls, who tries to maintain his manliness, despite being surrounded by women.


When the Titus agent needs to upgrade its instances, it must terminate all running containers and restart them on the new instances. Titus uses this configuration to determine how to migrate your application's containers to the new instances.
| Account | Region | Stack | Detail | Strategy | |
|---|---|---|---|---|---|
|
|


Puerto Princesa to El nido by bus
The minivan
Like the names says it a minivan! There’s about 8-10 places in it and they will full it.
It cost around 1300 PHP (35$ CAD). so about 17.5$ per person for the trip. The trip was
around 5h but it may be longer (or shorter... ) depending on your driver. In our case,
we had to hold on firmly to our seat in order to stay in place. Due to the many curves,
we were sliding from one side to the other for the whole trip. Fortunately there’s A.C
in the bus so we didn’t finished the transport like melted shaked cake.
The actual bus
**If you like your butt maybe don’t use that option**
This is like a normal city bus for 5 hours without A.C. But on a plus side it way
cheaper than the minivans. It’s the option that most of the locals use to travel around
the island. We still didn’t try it for the way back so I cannot comment on the quality
of the driving on this method of transportation.


Overnights: Star Plus shoots back to top on Monday in UK
by Raj BaddhanA strong performance by ‘Yeh Hai Mohabbatein’ on Monday, gave Star Plus a huge surge in UK ratings, according to exclusive data obtained by BizAsiaLive.com.
Star Plus delivered a share of 0.15%, followed by Sony Entertainment Television and ZEE Cinema with 0.10%, PTC Punjabi with 0.08%, Star Bharat and New Vision TV with 0.05%, ZEE TV, Hum Masala, Colors and Geo TV with 0.04%, Colors Rishtey, Sony SAB TV and Dunya News with 0.03%, Hum TV, B4U Music, BritAsia TV and Sony MAX with 0.02%.
On Star Plus, ‘Yeh Hai Mohabbatein’ impressed with 94,000 viewers at 19:30, followed by ‘Kahaan Hum Kahaan Tum’ at 20:00 with 54,500 viewers, ‘Sanjivani’ with 51,700 viewers, ‘Kasautii Zindagii Kay’ at 21:00 with 46,000 viewers, ‘Yeh Rishta Kya Kehlata Hai’ at 21:30 with 41,500 viewers, ‘Kullfi Kumarr Bajewala’ at 20:30 with 32,300 viewers, ‘Yeh Rishtey Hain Pyaar Ke’ at 18:00 with 20,600 viewers, ‘Yehh Jadu Hai Jin Ka’ at 22:00 with 11,200 viewers, ‘Nazar’ at 22:30 with 9,700 viewers and ‘Namah’ at 18:30 with 3,600 viewers.
On Sony TV, ‘Crime Patrol’ led with 33,800 viewers at 23:00, followed by ‘Patiala Babes’ at 20:30 with 33,500 viewers, ‘Mere Sai’ at 19:00 with 31,500 viewers and ‘Kaun Banega Crorepati 11’ at 21:00 with 28,800 viewers.
On ZEE TV, ‘Guddan’ broke its own record with 50,700 viewers at 18:30, followed by ‘Shoorveer Sisters’ at 17:00 with 26,000 viewers.
On Hum TV, ‘Daasi’ was watched by 16,600 viewers at 20:00.
On Colors, ‘Bigg Boss 13’ dropped to 11,400 viewers at 21:30.
Please note: Above data is overnight figures, which may change slightly after seven days when consolidated data has been accounted for. BizAsiaLive.com publishes consolidated figures every Monday.


intro
intro
intro
intro
css is an easy lang
1
2
3
4
5
6
7
8
9
1
2
3
4
5
1
2
3
4
5
second
second
third
third
forth
forth
fifth
fifth


Try logging in first at the top right of this window.
{%- else %}You don't have enough privileges to access this page.
{%- endif %}| page | {{ page.path }} |
| course | {{ course.name }} |
| role | {{ page.user_role.name }} |
| user | {{ user.username }} |
For more information contact {{ g.contact_url |safe}} .


define dim name in tooltip
change tooltip order (Tooltip of the first series should be: median, 1分位, Q3)
define which dim on x or y. encode: {x: 2, y: 1, label: 4}


Get started by setting up your first data connection.
It uses utility classes for typography and spacing to space content out within the larger container.
Learn more


class Transfer
Class Transfer
Properties
| $config |
Methods
|
__construct()
|
||
| array|bool |
process(null $config = null, null $node = null, null $number = null)
|
|
|
preview(null $config = null, null $node = null, null $number = null)
|
||
|
setConfig(null $config = null)
|
Details
at line 23
public
__construct()
at line 34
public array|bool
process(null $config = null, null $node = null, null $number = null)
at line 51
public
preview(null $config = null, null $node = null, null $number = null)
at line 61
public
setConfig(null $config = null)


[gecode-users] question about view types and propagator templates
Christian Schulte
cschulte at kth.se
Wed Jan 7 14:12:12 CET 2009
Hi Denys,
well the principle was: just make them general enough so that it works for
the cases we use in Gecode... Do you want them more general than that?
Cheers
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Denys Duchier
Sent: Friday, December 26, 2008 3:37 PM
To: users at gecode.org
Subject: [gecode-users] question about view types and propagator templates
is there a design principle that guides the decision to parametrize
Int::Rel::EqDom with two view types, but Int::Rel:Nq with only one?
or why set propagators use IntViews but don't allow for other kinds of
integer views?
Cheers,
--Denys
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


Finn links up with DJ Q on smooth 2-step anthem, ‘Baby I Don’t Know’
by Henry Bruce-JonesPhoto by: Press
Manchester’s finest reunites with a Huddersfield legend for Swing Ting.
Finn has joined forces with DJ Q on ‘Baby I Don’t Know’, a smooth 2-step garage anthem that marries tough beats with melodic vocal chops and piano licks.
While this is the first official collaboration between the two producers, back in 2015 DJ Q contributed an excellent remix of Finn’s ‘Keep Calling’.
This year Finn released the Do What You Want Forever EP, the final part of a trilogy of releases that started with the inescapable Sometimes The Going Gets A Little Tough. He also released the Tryin’ It! mixtape, a celebration of Manchester’s music scene.
‘Baby I Don’t Know’ is out now, on Swing Ting.
Read next: Deep Inside – November 2019’s must-hear house and techno
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- main(String[]) - Static method in class io.github.teamfractal.desktop.DesktopLauncher
-
- mainMenuScreen - Variable in class io.github.teamfractal.RoboticonQuest
-
- MainMenuScreen - Class in io.github.teamfractal.screens
-
- MainMenuScreen(RoboticonQuest) - Constructor for class io.github.teamfractal.screens.MainMenuScreen
-
- mapLayer - Variable in class io.github.teamfractal.screens.GameScreen
-
- mapLayer - Variable in class io.github.teamfractal.util.PlotManager
-
- mapTile - Variable in class io.github.teamfractal.entity.LandPlot
-
- Market - Class in io.github.teamfractal.entity
-
- Market() - Constructor for class io.github.teamfractal.entity.Market
-
Initialise the market
- market - Variable in class io.github.teamfractal.entity.MarketTest
-
- market - Variable in class io.github.teamfractal.RoboticonQuest
-
- MarketAdjustableActor - Class in io.github.teamfractal.actors
-
- MarketAdjustableActor(RoboticonQuest, Skin, ResourceType, boolean) - Constructor for class io.github.teamfractal.actors.MarketAdjustableActor
-
Constructs an interface to handle the purchase or sale of a particular resource-type
Populated with buttons for incrementing/decrementing a desired quantity of a particular resource to buy/sell,
along with an additional button for initiating the relevant transaction and any necessary labels to indicate
the widget's function and current state
- marketCanCheckResourceMoreThanAmountYouWantToBuy() - Method in class io.github.teamfractal.entity.MarketTest
-
test: hasEnoughResources
player class can use this method to find out that the amount of resource
player want to buy is available in the market, if the amount of resource
in the market is less than the amount of resources player want to buy then
throw exception
- marketShouldAbleToGetAndSetResources() - Method in class io.github.teamfractal.entity.MarketTest
-
test setEnergy(), setOre(), setFood(), setRoboticon()
The market should be able to set and get resources.
- marketShouldHaveCorrectPricesForResources() - Method in class io.github.teamfractal.entity.MarketTest
-
test: getBuyPrice()
The market should start with correct price for player to buy.
- marketShouldInitWithCorrectValues() - Method in class io.github.teamfractal.entity.MarketTest
-
test start mo
The market should start with correct amount of resources.
- marketShouldReduceResourcesWhenSells() - Method in class io.github.teamfractal.entity.MarketTest
-
- marketShouldReturnCorrectSellPrice() - Method in class io.github.teamfractal.entity.MarketTest
-
test: getSellPrice()
- marketShouldUseOreToCreateRoboticons() - Method in class io.github.teamfractal.entity.MarketTest
-
- marketTable - Variable in class io.github.teamfractal.actors.ResourceMarketActors
-
Provides the spatial framework for the buying/selling widgets presented in the market
- MarketTest - Class in io.github.teamfractal.entity
-
- MarketTest() - Constructor for class io.github.teamfractal.entity.MarketTest
-
- max - Variable in class io.github.teamfractal.actors.MarketAdjustableActor
-
Variable setting the maximum value that the widget can take
- max - Variable in class io.github.teamfractal.entity.CaptureData.AttributeRateComment
-
- message - Variable in class io.github.teamfractal.entity.CaptureData.FightAction.Fail
-
- min - Variable in class io.github.teamfractal.actors.MarketAdjustableActor
-
Variable setting the minimum value that the widget can take
- min - Variable in class io.github.teamfractal.entity.CaptureData.AttributeRateComment
-
- modifiers - Variable in class io.github.teamfractal.entity.PlayerEffect
-
Array holding the inventory modifiers that the effect imposes
These are either to be added/subtracted to/from the player's current resource counts or multiplied by them,
depending on the value of the [multiply] variable declared below
- money - Variable in class io.github.teamfractal.entity.CaptureData.FightAction.Fail.Cost
-
- money - Variable in class io.github.teamfractal.entity.Player
-
- money - Variable in class io.github.teamfractal.entity.ResourceDelta
-
- montserratLight - Variable in class io.github.teamfractal.util.Fonts
-
- montserratRegular - Variable in class io.github.teamfractal.util.Fonts
-
This class exists to import TrueType fonts into the game and to convert them into BitmapFont objects using
the TTFont class that was ported over from DRTN's last project
- moreAIPlayers - Variable in class io.github.teamfractal.actors.PlayerSelectActors
-
- morePlayers - Variable in class io.github.teamfractal.actors.PlayerSelectActors
-
- moveLeftInventoryButton - Variable in class io.github.teamfractal.actors.RoboticonMarketActors
-
Button that decrements selectedRoboticonIndex
- moveRightInventoryButton - Variable in class io.github.teamfractal.actors.RoboticonMarketActors
-
Button that increments selectedRoboticonIndex
- multiplier - Variable in class io.github.teamfractal.entity.CaptureData.AttributeRate.Against
-
- multiply - Variable in class io.github.teamfractal.entity.PlayerEffect
-
Determines whether the effect is to add to (or subtract from) the player's resources or to multiply them by set
factors


Friday, August 23, 2019 from 9:00 AM to 5:00 PM (8 hours)
Rose Street in Brgy. Ula
Water supply has to be temporarily shut off to give way to the tapping of a newly installed pipeline to DCWD’s existing pipeline along the affected area as part of the pipeline expansion/improvement of Riverside Water Supply System.
1) Benefit of the service improvement project: Improve water pressure of affected area and its immediate environs
2) The would-be affected customers are advised to store water in clean and covered containers at least two days before schedule.
3) Water supply may be restored earlier if works go smoothly or later if unforeseen problems arise.
4) DCWD conducts line flushing after service works are completed. However, once water is restored, customers are advised to open all faucets and allow water to run for at least two minutes. Do not drink tap water immediately but if needed, boil water beforehand as safety precaution.
5) This information is disseminated through print and broadcast media, DCWD website (www.davao-water.gov.ph), official Facebook page (www.facebook.com/davaowater) and telephone voicemail 235-3293 (DCWD).
6) For queries, please contact DCWDâ€™s 24-hour hotline 235-3293 and press â€œ0â€ or call/text 0927-798-8966, 0908-441-0653, and 0925-511-3293.


Designed and programmed a multi-modal application that changes the way people narrate memorable stories in a team of three. My role involved prototyping, ideation and programming.
Imagine a statue waking up or even a scene from the Disney Pixar's movie, Toy Story. If you were given the power to instill senses in an inanimate object, how would do go about doing that?
This project was done at the University of Michigan as a part of graduate coursework in Dialogue of the Senses, under Prof. Sile o'Modhrain. The prompt given to us revolved around Condillac’s statue whose senses would be awakened one after the other, creating awareness of other objects in space. Condillac maintained that it is only through touch that we gain an understanding of space as an external continuum extending outwards beyond the bounds of our bodies, and gather an awareness of other objects in space.
We wanted to build beyond this and question what really makes us human. It is emotion and our ability to describe it in words that differentiates us from other living beings. Emotion, combined with all other senses is what makes us truly human. We decided to build off of this idea.
The numerous senses that we possess is what makes us human. In her book, A Natural History of Senses, Ackerman describes each of the human senses so beautifully with just words and weaves a magical story. It is a story that keeps humans going.
My interpretation of the design prompt falls in the space of enriching the storytelling experience for a person. Personally, I love stories.I believe that there is some rich context behind every story and it is the story that makes us so unique. Every story has a personal element attached to it. When asked to create an artifact, I wanted to see how multiple-modalities can be invoked to create a brilliant experience for the user.
Based on the initial prompt, each of us worked on it individually and then gathered for a design critique session. Since, we had different backgrounds, our insights were quite unique.
Our ideas ranged from creating an immersive experience that revolved around music to that of lights, colors. All these ideas had a common theme of capturing emotions in unique manner. When we looked at constraints such as time and resources, we narrowed down our scope.
After eliminating the idea of capturing heart rate using fitness trackers, we narrowed down brainwave signals. Capturing brainwaves or EEG (electroencephalogram) waves meant finding sensors for the same. Most of the sensor technology we found were either too bulky or inaccessible. We also noticed people did not like the idea of using bulky headsets.
Now the question was controlling EEG signals that are generated. During our brainstorming sessions, we decided to narrow it down to personal user stories instead of music or sound to control signals that were being generated. We got super excited as users would be able to preserve their stories as art pieces for life.
 Based on your emotional state, the kind of brainwaves varies. Mindflex Duel uses a variation of EEG technology to "read" the intensity of these brainwaves via sensors positioned on your forehead and ear. These sensors don't generate or interfere with brain waves in any way. They only read what is already there. We decided to read these signals and feed it into another system using an Arduino to create beautiful visual patterns.
Technically speaking, we asked users to talk about something they cherished. We also asked them to talk about something that was painful. EEG signals with Attentive and Meditative values differ based on emotion. We captured these values to control the art piece that would be created by tracking a user’s EEG (electroencephalogram) signals.
We used a particle generator to create art and used the signals from the EEG headset to control the hues from the color wheel and the rate at which the particles fall. By using multiple particle generators we were able to create abstract art. We use a person’s story to alter his/her brainwave signals to create random patterns that can be captured. The tool that we created captures frames in the art sequence that signify special moments for that person. These can be printed out on high quality photo paper, framed and preserved as a beautiful personal momento.
The future vision for this project is a wearable that captures a person’s brain signals and transmits it to our application tool that would create a personal artifact that can be 3D printed. In addition to this, we would ask both the narrator and the listener to wear the headset to create two art pieces for the same story. We would also aim to utilise all the brainwave signals to create different patterns and alter hues and their intensities.
This project is a proof-of-concept prototype to demonstrate how we can control applications using our thoughts and emotions. This is an exciting field and there is a lot to look forward to!


10.3.c insert action using origin attribute
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| open |
../../Chapt10/10.3/10.3.c.xhtml |
&nsp; |
Opens the form |
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10.3.c insert action using origin attribute |
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Makes sure this is the right form |
| verifyElementPresent |
xpath=/html/body/xforms:model[@id='mod1']/xforms:action[@ev:event='xforms-ready']/xforms:insert[@nodeset="number_list[1]/number" and @at="3" and @origin="instance('second')/number_list/number"] |
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Checks that insert is in the form |
| verifyElementPresent |
xpath=/html/body/xforms:model[@id='mod1']/xforms:action[@ev:event='xforms-ready']/xforms:insert[@nodeset="number_list[1]/number" and @at="3" and @origin="googlymoogly"] |
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Checks that insert is in the form |
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xpath=/html/body/xforms:group[3]/xforms:repeat |
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Checks that repeat has the right values |
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xpath=/html/body/xforms:group[4]/xforms:repeat |
1*2*3*0*3 |
Checks that repeat has the right values |


I'm a software engineer from Hobart, Tasmania and when not working, I spend time mountain biking, bush walking, gardening, travelling and tinkering in my workshop.
I began my programming adventures in the mid 1980's with BASIC on the Commodore64 and BBC Micro (mostly writing and extending text based adventure games). Since then, I have worked in many domains across a variety of platforms with numerous programming languages.
I have held a variety of positions over the years, including system/network administrator, software developer, independent contractor, systems analyst, and research team leader.
I am the owner of Psychstudio. Experiments. Online. No code.
Recently I've been working in the following areas:
- Electroencephalography and neuromotor rehabilitation.
- Eye-tracking.
- Robotics and autonomous vehicles.
- Computer vision (object recognition and tracking).
- Embedded systems.
- Sensor informatics and message-oriented middleware.
Recent grants and awards:
- 2016 - Royal Hobart Hospital Research Foundation Establishment Grant - "Assistive technology for motor rehabilitation"
- 2012 - Australian ICT Centre Award for Engineering and Science Support Excellence
- 2012 - Tasmanian Research and Development iAward - "Magic Map"
- 2011 - Tasmanian Research and Development iAward - "Tasmanian Marine Analysis Network"
If you'd like to get in touch, email me at<EMAIL_ADDRESS>You can find out more about me here:


Encrypt
Text
password
Submit
This will encrypt given text.
Encrypted Text
Dencrypt
Encrypted Text
password
Submit
This will dencrypt given encrypted text.
Text


This is some text.
This is some other text.
This is a paragraph.
My Bonnie lies over the ocean. My Bonnie lies over the sea. My Bonnie lies over the ocean. Oh, bring back my Bonnie to me.


{% extends "base.html" %} {% block title %}APIv2 Status{% endblock %} {% block content %}
Here you can edit the backed values that supply the Status API endpoint. This contains data about datafeeds that are down, as well as some configuration data for the mobile apps
{% endblock %}


iPhone 4 - Early Thoughts
The main reasons I upgraded from my 3GS to iPhone 4:
- Retina display
- Better battery life
- Better camera
Retina
The display is stunning – it is crystal clear and the colors are beautiful. Most apps simply become more crisp (assuming they don’t use a lot of low-res images). I don’t think you’ll see a ton of difference in the way you use apps due to the display, but you’ll enjoy the experience much more and it’ll feel less like a computer screen. This is one of those things where the old technology got the job done just fine, but man, after using this display for a few days now, I can’t wait to see it come to iPad and to traditional computer monitors. Once you get used to retina, all other displays start looking really blurry.
Battery Life
It’s excellent. It still isn’t going to last nearly as long as the iPad, but it seems to last significantly longer than my 3GS did while performing the same tasks.
Camera
For still photography, the camera seems to be improved, but it’s significantly better at low light photography. This is partly due to the new sensor technology, but it’s also due to the inclusion of a small LED flash. Don’t get me wrong, the low light photos are terrible compared to a DSLR or even a mid- range Point & Shoot…but it’s a huge step up from the camera in the 3GS that was barely usable in lower light conditions. Daylight photos (particularly macro type shots) range from good to excellent. If you want proof, check out this shot by a friend of mine. I’d say that under optimal conditions, the iPhone 4’s still camera is very competitive with mid-range Point & Shoot cameras. As for video, it’s 720p in size, but don’t expect anything close to Bluray quality. I put a couple of videos on my Vimeo account…these are “worst case” shots – indoors with low light shooting a dark subject with some fast movement. Quality wise, the video function alone is right there with my Creative Vado…there is absolutely no reason to use a Vado, Flip, etc. if you have an iPhone 4. In fact, when you add on the software (iMovie or otherwise), the iPhone 4 blows those devices out of the water.
Overall Feel
Compared to my 3GS, the iPhone 4 feels better & worse. I love the new design – it’s more sleek and feels even more solid. The downside is I feel more paranoid that I’m going to drop it. With the 3GS, you could drop it and have a pretty good chance of only minor scratches or maybe a small crack in the plastic back. With the iPhone 4, you’re either going to damage the glass on the front or back (and the camera is integrated into that back glass as well) or you’re going to bang up the antennas (since they form the metal band around the outside). In theory, the glass is super strong and not easy to break, but something about it just feels a little more fragile. Speed wise, everything feels fast. If you’ve used an iPad, it’s pretty much the same. I really don’t notice a ton of speed increase over my 3GS for day to day activities – I do know it’s much more powerful though, so I’m sure future apps will widen this gap.
FaceTime
FaceTime is the video calling feature built-in to each iPhone 4. I tried it out with a friend from Twitter and it’s certainly a nifty feature. It works as easily as Apple advertises…call someone, touch a button, and boom – video call. The big gotcha (for now) is that both parties must have iPhone 4s AND be on a WiFi network. I’m not sure I’ll be using this feature all that much, but I also prefer e-mail/twitter/IM to phone calls anyway. I can see it being pretty popular for some people and I do see a few use cases for myself.
iBooks
iBooks is an app I use a ton on my iPad. I was hoping the retina display would make it more readable to me on the iPhone 4. Text & images looks absolutely fantastic – but at the end of the day, I just can’t read on such a tiny screen. It’s not that the font is too small – I can see it fine – I just can’t fit enough content on the screen for my tastes. I read mostly technical (or at least non-fiction books) though, so books with less structured content may be a bit better. Imagine reading the tiny bibles you used to find in hotels – that’s what it’s like reading on the iPhone 4…super crisp text, but a little bitty reading surface. I do like having the ability to look up something in iBooks in an emergency though – so I’ll keep it installed just in case.
Multitasking
A lot of people have been anxiously awaiting multitasking on iPhone. I’m not one of them. I would like a few apps to be able to update in the background (Twitter for example) and I’d like to have a live IM client, but that’s about it. I don’t use Skype or Pandora on the phone, but if I did, I’d be happy. For me, this is a nice feature, but the only real benefit I get is that it’s slightly faster to switch between applications. Maybe I’ll be wow’d with what people are able to do with this in the future, but for now, I just don’t see much benefit for the tasks I do today…but I was never the target of this feature in the first place.
Reception
You’ve probably heard about the reception issues with iPhone 4. Steve Jobs said they don’t exist, but if they did, it’s because you’re holding it the wrong way. Apple corporate said they exist on all phones and you should buy a case. Well, they definitely do exist and I’m holding my phone the same way I’ve held every Apple iPhone. I’m going to end up buying a case I’m sure, but I’m really disappointed in Apple over this one. If you hold the phone in your left hand, you’ll connect two of the antennas with your finger or palm. By doing this, your 5 bars of full signal will drop to “No Service” within 30 seconds or so unless you happen to be very close to a cell tower. At home, I can do this easily every time I try. In West Knoxville, I had a harder time getting the signal to drop…so it seems to be partially dependent on your proximity to cell towers. I have yet to have a call drop due to this, but I have had SMS messages and data downloads stop/fail due to it…so it isn’t just a display issue – it really is losing the signal. Apple says some type of fix is on the way and if that’s the case, then maybe this won’t be a problem much longer. I expected I would get better reception than my 3GS due to the larger exposed antenna, but so far, my 3GS had a more stable signal. Call quality is as good or better on the iPhone 4 though. I haven’t tried making a call from a noisy area yet, but all of the calls I’ve made have sounded very clear on my end and no complaints from those that I’ve called.


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Wooden Fence
问题描述 :
Therefore, the banks now prefer other assets, especially gold. The main trouble with gold is that there is only a limited amount of it in the whole world. And it is not enough to cover all money held by all banks. (Wait, isn’t this the real reason of the crisis?)
If there is not enough gold, other commodities must be exploited instead. The International Bank of Monetania (IBM) has recently come up with an idea of using very old and valuable trees as their assets. They bought a piece of land with several such trees and now expect their value to grow. Literally, of course.
Unfortunately, the trees are threatened by wildlife, because animals do not understand their value and nibble them. Moreover, there is a permanent danger of theft. As a result, it is absolutely necessary to build a good solid fence around the trees.
The IBM quickly realized that the only suitable material available to build the fence is the wood from the trees themselves. In other words, it is necessary to cut down some trees in order to build a fence around the remaining ones. Of course, to keep the maximum value, we want to minimize the value of the trees that had to be cut. You are to write a program that solves this problem.
输入:
The four numbers describe a single tree. (Xi, Yi) is the position of the tree in the plane, Vi is its value, and Li is the length of fence that can be built using the wood of the tree. You may assume that 0 ≤ Vi, Li ≤ 10000 and -10000 ≤ Xi, Yi ≤ 10000. No two trees in a test case will grow at the same position.
The input ends with a line containing zero in place of N.
输出:
The four numbers describe a single tree. (Xi, Yi) is the position of the tree in the plane, Vi is its value, and Li is the length of fence that can be built using the wood of the tree. You may assume that 0 ≤ Vi, Li ≤ 10000 and -10000 ≤ Xi, Yi ≤ 10000. No two trees in a test case will grow at the same position.
The input ends with a line containing zero in place of N.
样例输入:
6 0 0 8 3 1 4 3 2 2 1 7 1 4 1 2 3 3 5 4 6 2 3 9 8 3 3 0 10 3 5 -3 20 25 7 -3 30 32 2 100 0 5 4 0 100 4 5 5 0 0 10 10 0 1 10 10 1 0 10 10 1 1 10 10 50 50 8 4 0
样例输出:
The lost value is 9. The lost value is 20. The lost value is 4. The lost value is 8.
#include <cstdio> #include <iostream> #include <cstring> #include <cmath> using namespace std; const int N=250; const int MOD=1000000007; struct data { int type; int width, length; } a[N]; int f[3050][250], n, cnt, m; int main() { memset(f, 0, sizeof(f)); scanf("%d%d", &n, &m); cnt=n; for(int i=1, L, W; i<=cnt; i++) { scanf("%d%d", &L, &W); a[i].length=L, a[i].width=W, a[i].type=i; f[L][i]=(f[L][i]+1)%MOD; if(L!=W) { n++; a[n].length=W, a[n].width=L, a[n].type=i; f[W][n]=(f[W][n]+1)%MOD; } } for(int L=0; L<=m; L++) for(int i=1; i<=n; i++) for(int j=1; j<=n; j++) if(a[i].type!=a[j].type && a[j].width==a[i].length && L>=a[i].length) { f[L][i]=(f[L][i]+f[L-a[i].length][j])%MOD; } int ans=0; for(int i=1; i<=n; i++) ans=(ans+f[m][i])%MOD; printf("%d\n", ans); return 0; }
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
分析的很专业！
还是有些难度的！
问题3中，GetRightPosition()和GetLeftPosition()与STL中的upper_bound()和lower_boune()的代码实现一样吗？
感觉这里的评分标准没啥作用阿，反而显得显得赘余，还不如直接去掉好了。
第二个程序编译都通不过， int L[m+1][n+1];这样定义出错，应该换成具体的数字ac
很不错！
是穷举，但是代码有优化（v数组），并不是2^n。测试数据应该没问题，之前有超时的代码。
不同的编译器，printf(),执行的顺序不同，所以结果也就不同，建议不要那么写
原来的主机不行，目前更换到了国内主机
remove没有实现
惊艳了，没想到代码如此简洁
学算法中的数据结构学到一定程度会乐此不疲的，比如其中的2－3树，类似的红黑树，我甚至可以自己写个逻辑文件系统结构来。
2的64次方是多少？ 这到底是在考什么啊


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DRAG ME
DROP HERE
IE only supports "text" and "URL" types. If set to "text", it interferes with text and input fields. A try/catch and fallback to "text" is a workaround.
"text"
"URL"
try/catch
The element should be visible to the browser. The workaround is to hide image under another element. Custom drag image doesn't work in IE. The workaround is to move an image with mousemove event.
mousemove
Requires to preventDefault on the dragenter and dragover events. Firefox treats the drop as navigation. This requires preventDefault on dragover event.
preventDefault
dragenter
dragover
Doesn't work in Safari and IE.
Doesn't work in Safari.
Implemented inconsistently. dragenter will fire before or after dragleave depending on the browser.
dragleave
A drag cursor only works until the drag operation starts. Some browsers add workarounds like -webkit-grabbing, -moz-grab
-webkit-grabbing, -moz-grab


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IP:
Total limit:
Hourly limit:
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Counter to reset:


The Center for Materials Research (CMR) conducts cutting-edge esearch in well-equipped research facilitiesin areas of crystal growth and nanotechnology, polymer processing, thin film deposition, nonlinear optics, and laser designe, optical spectroscopy and magnetic resonance. CMR faculty members are energetic reearches dedicated to furthing knowlege in their respective disciplines. They foucus on researh prolems of fundamental andpractical importance inpotonics and spin slectronics andmakes substantive efforts to cooperate with other universities, industry, and government labororatories. Enjoy your visit of site and we invite you to sign up for our newsletter.
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Development of Organic Molecular Beam Deposition (OMBD) Technique for processing of organic nano-layered structures Research is the greatest measure of the school. Research is the greatest mesure of the world |
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Functions | |
| template<typename genType> | |
| GLM_FUNC_DECL genType | glm::extend (genType const &Origin, genType const &Source, typename genType::value_type const Length) |
<glm/gtx/extend.hpp> need to be included to use these functionalities.
<glm/gtx/scalar_relational.hpp> need to be included to use these functionalities.
| GLM_FUNC_DECL genType glm::extend | ( | genType const & | Origin, | |
| genType const & | Source, | |||
| typename genType::value_type const | Length | |||
| ) | [inline] |
Extends of Length the Origin position using the (Source - Origin) direction.


| Teachers |
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Research Areas |
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BOGDANOV Andrej |
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Associate Professor |
computational complexity, foundations of cryptography |
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CAI Leizhen |
è¡é·é |
Professor |
graph algorithms, parameterized complexity, & graph theory |
|
CHAN Lai Wan |
é³éºé² |
Professor |
data mining, financial engineering, bioinformatics,
neural networks, computational intelligence |
|
CHAN Siu On |
é³å
å® |
Assistant Professor |
Optimization, Approximation Algorithms, Computational Complexity, Random Graphs, Learning and Testing |
|
CHENG James |
éå°ç |
Assistant Professor |
Distributed systems, distributed machine learning, cloud computing, big data, data mining, graph/network analysis |
|
CHEONG Chi Hong |
å¼µå¿èª |
Lecturer |
|
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CHUI Yim Pan |
å¾å´æ¿± |
Lecturer |
|
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FU Chi Wing Philip |
å
å¿æ¦® |
Associate Professor |
Computer Graphics, Visualization, and Human Computer Interaction |
|
FU Wai Chee Ada |
å
æ
°æ
|
Associate Professor |
Database, Data Mining, Big Data, Massive Graph Analysis |
|
FUNG Ping Fu |
é¦®ç³å¯ |
Senior Lecturer |
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HENG Pheng Ann |
çå¹³å® |
Professor |
AI and VR for medical applications, surgical simulation, visualisation, graphics and human-computer interaction |
|
JIA Jiaya |
è³ä½³äº |
Professor |
computer vision, graphics & machine learning |
|
KING Kuo Chin Irwin |
éåæ
¶ |
Professor |
social computing, machine learning, data and web mining,
information retrieval, multimedia processing |
| LAM Tak Kei |
æå¾·åº |
Lecturer |
|
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LAW Yat Chiu |
ç¾
æ¥æ |
Lecturer |
|
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LEE Ho Man Jimmy |
ææµ©æ |
Professor |
constraint satisfaction & optimization, satisfiability,
search, IT in Education |
|
LEE Pak Ching Patrick |
æææ´ |
Associate Professor |
storage systems, distributed systems and networks, operating systems, dependability, and security |
|
LEUNG Ho Fung |
æ¢æµ©é |
Professor |
Multi-Agent Systems, Game Theory, Web Intelligence, and Evolutionary Computing |
|
LEUNG Kwong Sak |
æ¢å»£é« |
Professor of CS & E |
knowledge engineering, bioinformatics & data mining,
machine learning, fuzzy logic applications,
genetic algorithms & programming, AI architecture |
|
LO Eric |
ç§è³å |
Associate Professor |
Big Data, Supercomputing, Database, Cloud Computing, Data Mining, Distributed Systems, Operating Systems, Distributed Machine Learning, Compiler, Software Engineering |
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LUI Chi Shing John |
åèªæ |
Choh-Ming Li Professor of CSE |
network sciences, network economics, applied machine learning in networks & distributed systems, system security in mobile & cloud computing |
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MENG Wei |
åç |
Assistant Professor |
Computer Security and Privacy |
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OR Siu Hang |
æ¯å
æ |
Lecturer |
computer vision & graphics, entertainment computing |
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SUM Kwok Wing Anthony |
å²åæ¦® |
Lecturer |
|
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SUN Hanqiu |
å«æ¼¢ç§ |
Associate Professor |
Virtual Reality, Interactive Modeling/Rendering,
Real-time Hypermedia, Computer-assisted Surgery,
Mobile Image/Video Processing, Touch-enabled Simulations |
|
TAO Yufei |
é¶å®é£ |
Professor |
Database Systems and Theory |
|
WAH Wan Sang Benjamin |
è¯é²ç |
Provost, Wei Lun Professor of CS & E |
Nonlinear programming, with applications in financial engineering;
Multimedia signal processing, voice-over-IP, and computer
networks; Artificial Intelligence, planning and scheduling, and
satisfiability. |
|
WONG Kin Hong |
é»å¥åº· |
Associate Professor |
3-D computer vision, visual and audio signal processing, computer
music, embedded systems |
|
WONG Man Hon |
çææ¼¢ |
Associate Professor |
distributed algorithms, databases, computer security |
|
WONG Tien Tsin |
é»ç°æ´¥ |
Professor |
graphics, vision, & multimedia |
|
XU Lei |
å¾ãé· |
Professor of CS & E |
statistical theory & algorithms for machine learning, pattern
recognition, computational finance |
|
XU Qiang |
å¾ãå¼· |
Associate Professor |
Fault-tolerant computing, Multi-core system, VLSI test and
debug |
|
YANG Ming Chang |
æ¥ææ |
Assistant Professor |
Emerging Non-Volatile Memory and Storage Technologies, Next-Generation Memory/Storage Systems and Their Applications, Embedded Systems and Their OS Designs |
|
YIP Yuk Lap Kevin |
èæç« |
Associate Professor |
Bioinformatics, computational biology, data mining |
|
YOUNG Fung Yu |
æ¥é³³å¦ |
Professor |
VLSI CAD |
|
YU Bei |
ä½ãå |
Assistant Professor |
VLSI CAD, Cyber-physical systems, combinatorial algorithm, machine learning |
|
YU Xu Jeffrey |
äºãæ |
Professor (by courtesy) |
Database, data mining |
|
YUAN Cheng Jiun |
é®å¾è» |
Lecturer |
|
|
ZHANG Sheng Yu |
å¼µåè½ |
Associate Professor |
quantum computing, algorithms design and analysis, computational
complexity |


This table shows the desirable levels for each blood component. Patients with levels beyond the maximum or below the minimum should seek medical attention.


Possessor, an easy to use site ownership verification tool, is coming soon.
Follow Possessor on Github.


A novice in the field of coding, currently pursuing coding skills through bootcamp. Working as a Design Engineer in the telecommunications field of Australia. Previous experience as Maintenance, Production and Design Engineer in Mechanical/Mechatronics Engineering. In academics, hold Masters in Mechanical Engineering from USA and Bachelors in Mechatronics Engineering from India.


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In this post I cover how to tie a binding knot commonly used by flute makers around the world to decorate, reinforce or repair an instrument.
I use fishing line for my bindings, you can use any type of string or material of choice, as long as it is strong. For a binding to be effective it must be as tight as possible. Begin by taking a few meters of your line and tying one end to something solid. At the other end create a loop and pin it in place on the instrument.
Next comes the trickiest part. Begin by making a few wraps round working from the pinched base of the loop upwards. Try to get as much tension as practicable.
Now continue wrapping round by rotating the flute while pulling away from the tied end. You can walk your thumbs over the bindings as you do this to prevent the binding from slipping. As you add more wraps you can keep increasing the tension by keeping a constant pull on the line as you wrap.
Once you have the desired number of wraps, pin them tightly in place with your thumb and cut the line free from where you tied it.
Now take the free end and pass it through the top of the loop. Your loops should be much tighter than those pictured as you not simultaneously trying to operate a camera one handed.
Begin pulling the loose end that was used to form the initial loop until the the loop starts to pull the newly cut end under the wraps. Now hold both ends tightly and pull them until the loop is centered under the wraps. As the loop slips under you will see the cross of the line as a lump under the wraps. This allows you to gauge the center.
It should require considerable force for this last step if wrapped the flute tightly enough.
Complete the knot by trimming the ends with a scalpel and if you like add a drop of thin CA glue over the cross.
You can see some of my bamboo flutes on Google+ and for sale on etsy.
Also check out my OpenBazaar listings.


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The Entrepreneurship Hatchery Portfolio
PROJECT TIMELINE - May 2018 to February 2019.
ROLES - Graphic Designer, UI / UX Designer
SKILLS INCORPORATED - Graphic Design, UI / UX Design, Wireframes, Prototyping, Marketing, Branding, Typography, Logo Design
SOFTWARE USED - Adobe Illustrator, Adobe Photoshop, Adobe XD, Adobe InDesign
LINKS - View these projects on my Behance profile
From May 2018 to February 2019, I worked as an Assistant Graphic Designer at The Entrepreneurship Hatchery at UofT. The Hatchery is a platform for students and graduates of UofT to create and manage their own startups. They provide the tools, support and resources for the same as well. The hold an annual NEST showcase, which showcases the unique ideas that students come up with every year. Some of them have also become successful companies today!
This portfolio showcases some of the best work I did at the Hatchery during my time there. My work included designing brand identities for the various startups under the Hatchery, designing promotional material for their marketing campaigns and also redesigning the Hatchery's branding, including their website. You can also view some of these projects on my Behance profile.
×
BRAND STYLESCAPE - GRUMBLE
This is a brand stylescape designed for the start-up Grumble, which is a social application providing food recommendations to users based on their friends' eating choices and restaurants they visit. This stylescape depicts a fun, easy-going and an approachable company environment due to its bright color scheme and rounded, easy-to-read typography scheme.
BRAND STYLESCAPE - SCANSCRIPT
This is a brand stylescape designed for the start-up ScanScript, which is a company creating software to automate prescription entry into pharmacy management software to enable efficient and safe prescription dispensing. This stylescape depicts a professional and experienced company environment. The color scheme uses a lot of saturation and contributes to the modern look and feel of the brand.
DESIGN CONCEPT - PULSE
Pulse is an event management start-up at the Entrepreneurship Hatchery. What makes them special is that they are using machine learning algorithms to recommend events to users. This design concept depicts the essence of the start-up and shows how their application can reach out to a variety of places.
BRAND STYLESCAPE - ADYCT
ADYCT was also one of the startups under the Hatchery, which provided an innovative approach for small businesses to use built-in platforms in screens to design advertisement contents. This stylescape uses a modern, professional look with bright colors to make the designs eye-catching.
BRAND STYLESCAPE - PLIANT
Pliant was a startup at the Hatchery creating revolutionary, eco-friendly solutions for power supply and management. This was one of the stylescapes designed for them at that time. Since then, Pliant has grown to become a successful company and has received a lot of recognition and accolades.


I have often heard 👂 how Brain Machine Interfaces, also known as BMIs, would one day be a consumer products. Imagine being able to have a third arm. To control machines from your thoughts. Imagine being able to not just be in virtual reality through a headset; but to live the virtual reality, like in the Matrix! 🔫
These promises are often what people talk about, when prompted about BMIs. However I do not think that this is what BMIs will be used for.
How do BMIs work?
Elon Musk is certainly making a lot of noise in that domain: neuralink. 🧠
BMIs are often thought of as brain implants being able to read/write directly from your neurons. This can be done in many different ways.
However, BMI in a broader sense, can be defined as anything remotely interfacing with your brain. One way to do that is to connect to the brain’s “inputs|outputs”: Nerves 🔌.
This has a lot of advantages. Signal from the Nerves are much better behaved and formated. One would say they are more suited for reading & writing to them. We can think about many locations and ways to read from nerves. Cochlear implants are a famous examples. The long term goal is to be able to read/write directly from the spinal nerves and restore walk to any paralyzed people . I should add, “paralized due to a spinal cords injury”. Which are far from being the majority.
Targeted muscle reinervation or TMR 💪, is often defined as a BMI. It is the closest thing we currently have to read/write directly from nerves.
It uses electrodes to read input from, say arm’s/fingers nerves that have been reattached to another muscle in the body. This muscle has been previously cut into different sub-muscles which only role will now be to amplify these nerve’s signal. when one touches that part of the body where the submuscle linked to the index is, the patient now feels someone is touching his index. When the patient wants to move its index, the cut sub-muscle moves. Now an electrode can read these submuscles activity to move a prothestic arm and shock the muscle slightly when someone is touching the arm.
But this is where the line blurs. If a device reading muscle contractions is a BMI.. Isn’t a keyboard also a device reading muscle contractions? Isn’t a touch-pad or playstation controller 🎮 ,etc, as well?
cochlear implants allow some deaf people to hear
“Maybe. But they will never be as good as reading directly from muscle contractions!”. And here is where the problem lies. Ask many of the companies which already tried it.. and failed: It is not. Muscles are noisy. Depending on your current state and position. Depending on which sets of muscles you use for your movements, everything can be even noisier or downright different.
I have often heard a counter argument. “You could be faster with an implant than with a game controller”. But just how fast can you get with a keyboard? What is the limiting factor? ask it to gamers. Some of them often clock more than 7 keystrokes a second! wWile 99.99% of people struggle, using more than two fingers. Most of us haven’t even scratched the surface of our bodily/muscle limits with regular keyboards and mouse . Why then, learn a new noisier tool?
The goal of this definition of BMI is really to think about one thing. We already have a BMI. A truly amazing one: Our body 🤾. And it will be extremely hard to do better than that. How hard?
What that means? 🤔
The entire design of the brain is to communicate through your body. Like a computer, you are not connecting anything to it by plugging it directly onto your CPU, you need to go through ready made interfaces. That is what USB and HDMI ports are for. This is the same for the brain and the human body. Putting wires inside often help so much, it was not meant for it.
What about medical use-cases? 🏥
An extract of how brain implants can help some patients
Well now let’s admit that we are talking only about the BMIs directly connecting to the central nervous system. There is certainly other avenues for them. Restoring movement to paralyzed people, sight to blinds 🦯. Helping in neurological issues such as parkinson, alzheimer, epilepsy and much more.
I have to say that I was always very enthusiastic about these ideas. Being myself an engineer, I admit I always found it cool to think about cyborgs and to dream about the technology I know and understand, saving lives. However now that I became more deeply interested about biology, I discovered that our body speaks another language than the technology we use in our smartphones, in many key ways.
This is not an insurmontable barrier, but a big one. And here is the thing, to do this, we will need to understand the language of biology. But once we can understand it, through genomics 🧬 and systems biology,we will have ways to solve all the aforementioned issues in many more remarkable ways than with BMIs. Simple pills or shots could restore sight, we could re-grow organs and destroyed brain regions. We could restore damaged spinal chords and prevent the most debilitating psychiatric diseases. These advances will likely come sooner than the types of BMIs that could do the same thing. And will be much mor acceptable for anyone to take a pill than go trough surgery to receive a foreign object 🔌.
Other avenues
MEME
Reading thoughts, peering into dreams, making music by just thinking about it, seeing what you imagine become reality in seconds, moving into a game by thought 💭. These are things that, for sure, can only come from a BMI. I won’t deny that. And it might become possible someday.
We are not limited by how fast we can write our how fast we can read.
But when I got interested into neurosciences, I learnt something very interesting. Our mind is not clear and precise. We might believe we have agencies over our thoughts and fine control of what we imagine. But this is untrue. Our inner world is a mess. A constant hurricane . We might be led to believe otherwise as we found ways, through language, words and writing 📖, to canalize our psyche into a formal stream.
but even that is hard, as you can see from this very chaotic opinion article 🙃.
It will be possible to read one’s thoughts, but I do not think that it will make anything easier. We are not limited by how fast we can write our how fast we can read. We are limited by our own mind, and its ability to process information coherently 🧠.
One final goal.
MEEEME
There is however, 1 more goal of BMIs, maybe the only one. One that you might have heard Elon musk mentioning, when talking about his company: Neuralink. Linking our brains to AGI -artificial general intelligences. Augmenting ourselves by transfering parts or the entirety of our thoughts to more powerfull computers and algorithms.
If we can read and write fast enough into our brains, then we might be able to actually link/transfer ourselves to machines, virtually increasing our ability to process information. Allowing us to focus on things even more, to increase our empathy, our reach and experience of the world. This will cause a deep transformation, one of the self and of our our most humane personalities. “linking to AGI / transferring your brain into a machine”, two ideas amounting to the same result, will be the last step of humanity. Its final transformation. It will have to come through BMIs, the most complex BMIs ever thought of. (Un)Fortunately I do not think that BMIs will be adopted for anything else.
fMRIs allow researcher already to read some thoughts.


Drauu Headless SVG-based drawboard in browser https://github.com/antfu-sponsors/drauu
f / freehand l / line r / rectangle e / ellipse c / clear + / increase size - / decrease size ctrl+z / undo shift+ctrl+z / redo


Ontology Modelling
- Automatically building ontologies with complex relations
- Given a dataset (text, tables, excel sheets), competency questions, and list of ODPs, can we (auto/semi-automatically) build ontologies that can answer the competency questions?
- This is called as Ontology Learning
- Automatic refactoring of ontologies with ODPs
- Rebuild large (bulky) ontologies with ODPs
- Can we make the bulky ontologies more modular by replacing pieces of the ontology with ODPs?
- The "intent" or the behaviour of the modular ontology should be the same as the original ontology
- The modular ontology should answer the same competency questions as the original one
- Extracting ODPs from large ontologies
- There are several large ontologies that may have similar patterns and can be extracted to form an ODP
- Ontologies have to be analyzed and common structures have to be identified
Description Logic Reasoning
- Approximate Reasoning
- Reasoning over highly expressive and/or very large ontologies is time consuming
- Approximate Reasoning is about sacrificing either soundness or completeness for better reasoning runtime
Ontology Alignment
- Given two ontologies, what are the different entities that are similar to each other?
- Concepts
- Properties
- Instances
- Ontology Alignment Evaluation Initiative (OAEI) provides benchmarks for alignment
Knowledge Graph Construction
- Extraction of triples (instance data) from text
- There are some popular automatically constructed KGs
- DBpedia
- Never Ending Learning (NELL)
- YAGO
- Knowledge Graphs from Google, LinkedIn, Amazon, eBay
- Open Information Extraction tools such as OpenIE, ClausIE, FRED, Stanford OpenIE etc. can be used for getting triples from text
Knowledge Graph Embedding
- Entities and relations in a KG are represented as vectors
- This enables us to perform vector operations on KGs
- Similar to word embedding
- KG embedding is useful in a variety of applications
- Knowledge Graph Completion
- Question Answering
Question Answering using Knowledge Graphs
Making Semantic Technologies user friendly


How Vergne went from "mega harsh" penalty to “miracle” points
by Alex Kalinauckas, Rachit ThukralReigning Formula E champion Jean-Eric Vergne says to score points in the Diriyah E-Prix was a "miracle" after a "mega harsh" penalty dropped him to the back of the grid.
Vergne crashed into the wall at Turn 17 in Saturday's sole practice, suffering suspension damage to his DS Techeetah.
Although the team was able to repair the damage in little time, the FIA's official supplier McLaren Applied Technologies was forced to change the battery on his car, prompting a 20-place grid drop.
With Vergne unable to serve the sanction in full, he was hit with an additional 10-second in-race stop-go penalty that firmly left him dead last.
But the 29-year-old was able to charge his way through the field in race two to finish 11th on road, which became eighth after Maximilian Guenther, Nyck de Vries and Oliver Turvey were all penalised post-race for separate infractions.
"I was just cruising around, saving energy," Vergne who was speaking before the penalties were announced, told Autosport.
"Then [the second] safety car came and I went from 17th or 18th to 11th in four laps. I did two laps in a row, [passed] two guys in the same corners.
"So, it was maximum attack and I had fun doing [it].
"Considering today, I think it would be a miracle [to score points, which Vergne did after the post-race penalties were applied].
"You have to accept this. It's Formula E, it's extremely difficult.
"A lot of things can happen, as we saw this weekend. Obviously, you know what should happen will always happen together."
Vergne also endured a difficult first leg of the Diriyah weekend, the Frenchman suffering a DNF after his steering wheel rack broke midway through the race.
"[On Friday] I did the pole of my group," he said.
"Race one I was coming back up, steering wheel rack broke.
"[On Saturday], you know my mistake [in practice], which was ok not messy because the car was fixed in 15 seconds but then McLaren wanted us to change the battery so that didn't give us time to [get out again].
"And in qualifying I had a car with one wheel like this, the other one like that. So I was not really steering straight but I still managed 11th.
"And then this unreal penalty came. I mean unreal.
"I'm not complaining, it's the rule but I find it extremely harsh that, you know, I got jumped to the back and then I have to stop and go 10 seconds. [Penalised] twice. It's mega harsh.
"I mean for people caught cheating in qualifying, they don't get a penalty as bad as mine and mine it was just a safety reason why we changed the battery.
"I mean, it is what it is. Not much to say.
"Just some positives. The car was very quick today in the race and season is very long. [I'm] very motivated to get back on top."


Chocolate Pizza
POSTED ON 15 DEC 2013/DESSERTS
For the fig-swirl: Melt butter over medium heat in a saucepan. Add brown sugar and stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat, stirring frequently, until you have a chunky-jammy mixture. Add salt with one or two stirs, set aside and let cool completely.
Ice cream: In a small pot over medium heat, combine milk, and granulated sugar until sugar is completely dissolved and the milk is just barely lukewarm. Whisk in the egg yolks. Set mixture in the fridge and wait until the fig mixture is cooled.
Using an ice cream machine, pour liquids into frozen basin and process according to manufacturers instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and nuts. Continue to process +/- 10 minutes. Pour semi-frozen mixture into pyrex dish or glass tupperware. Freeze for at least two hours before serving.
- 1 1/2 cups milk
- 1/2 cup mascarpone
- 1/2 tsp pink salt
- 1 lb Black Mission Figs
- 1/2 cup brown sugar
- 2-4 tbsp water
- 1 1/2 cups heavy cream
- 1/3 granulated sugar
- 2 egg yolks
- 1 lemon, juiced
- 2 tbsp butter
- 1 cup honey roasted pecans, roughly chopped
Vanessa Stevenson
Food enthusiast, photography fan. Add a pihc of raw foodism and that's pretty much who I am.


Exmple content
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The Adelaide Running Crew is a social running group aimed at helping members achieve their running goals.
We do this through group training sessions conducted in a supportive atmosphere. All members of our group have different running goals and abilities - from purely social runners right through to those training for half and full marathons.
It's all about running together, having fun and celebrating each others achievements. It's free to join and train with us.
We run as a group on Wednesdays at 6pm starting in North Adelaide (Start of Uni Loop) and on Saturdays at 8am starting from a range of locations in and around the CBD. See below for full details about our runs.
Time Trial results
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Full training plan
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Meet at 6pm for a 6:10pm start.
Meet at the start of Uni Loop, crn of Jerningham St and Mackinnon Pde in Nth Adelaide.
click for map
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Meet at 8am for a 8:10am start.
Saturday morning runs start all over Adelaide, check the above upcoming session for details.
Latest information will be posted on our social media pages (facebook/twitter/google+).
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Races are not organised by the Adelaide Running Crew. More often than not someone in our group participates in each race.
In South Australia most races are organised by SARRC or Trail Running SA, check their websites for more details.
Adelaide Running Crew merchandise is ordered periodically based on demand. Please ask one of the coaches if you are interested in purchasing a singlet, t-shirt or hoodie.
How can you help?
The Adelaide Running Crew choose a charity to donate to each year. We encourage each runner to donate either through a ‘gold coin’ donation after any of our runs or by directly depositing any amount in the ARC bank account.
PayID<EMAIL_ADDRESS>PayID check will show "A J Mckenna". Andrew looks after our clubs donations.
Bank details Account: 178 408 670 BSB: 633 123
2019
The Royal Society for the Blind (RSB) is a not-for-profit organisation providing services to Australians who have a
severe vision impairment. These services are delivered by a professional, committed and highly qualified team supported
by volunteers, drawn from all age groups and walks of life.
The RSB is the primary source of assistance giving people with a vision impairment the opportunity to improve
the quality and independence of their lives
For more information on The Royal Society of the Blind – go to
https://www.rsb.org.au/
Organisations we supported in the past
The best place to find us is to turn up to one of our training sessions, however you can also find us on social media and email.
Click To Show Email


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| 003:146 Khan | : |
And many a Prophet (i.e. many from amongst the Prophets) fought (in Allah's Cause) and along with him (fought) large bands of religious learned men. But they never lost heart for that which did befall them in Allah's Way, nor did they weaken nor degrade themselves. And Allah loves As-Sabirin (the patient ones, etc.). |
| 003:146 Maulana | : |
And how many a prophet has fought, with whom were many worshippers of the Lord. So they did not lose heart on account of that which befell them in Allah's way, nor did they weaken, nor did they abase themselves. And Allah loves the steadfast. |
| 003:146 Pickthal | : |
And with how many a prophet have there been a number of devoted men who fought (beside him). They quailed not for aught that befell them in the way of Allah, nor did they weaken, nor were they brought low. Allah loveth the steadfast. |
| 003:146 Rashad | : |
Many a prophet had godly people fight along with him, without ever wavering under pressure in the cause of GOD, nor did they hesitate or become discouraged. GOD loves the steadfast. |
| 003:146 Sarwar | : |
Many godly people fought to help the Prophets in the cause of God. They did not lose courage, show weakness, or give in when facing hardships in their fight for the cause of God. God loves those who have patience. |
| 003:146 Shakir | : |
And how many a prophet has fought with whom were many worshippers of the Lord; so they did not become weak-hearted on account of what befell them in Allah's way, nor did they weaken, nor did they abase themselves; and Allah loves the patient. |
| 003:146 Sherali | : |
And many a Prophet there has been beside whom fought numerous companies of their followers. They slacken not for aught that befell them in the way of ALLAH nor did they weaken, nor did they humiliate themselves before the enemy. And ALLAH loves the steadfast. |
| 003:146 Yusufali | : |
How many of the prophets fought (in Allah's way), and with them (fought) Large bands of godly men? but they never lost heart if they met with disaster in Allah's way, nor did they weaken (in will) nor give in. And Allah Loves those who are firm and steadfast. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > حبه تعالى Pillars of Islam> Islamic> Oneness of Allah> His Love الجهاد > الجهاد في سبيل الإسلام > الدعوة إلى الجهاد Jihad> The Call to Jihad>The Call for the Holy War الجهاد > الجهاد في سبيل الإسلام > مدح الجهاد Jihad> The Call to Jihad>Praising the Holy War العمل > الدعوة إلى العمل Action(Work)> The Call for Action العمل > العمل الصالح > الاستقامة في العمل Action(Work)> The Good Deeds>Honesty at Work الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الاستقامة Man and The Moral Relations> Good Morals>Honesty الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الصبر Man and The Moral Relations> Good Morals>Patience
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Graduate
Graduate Program in Bioinformatics
Bioinformatics is a growing area of research interest in the Department of Computer and Information Sciences at the University of Delaware. The department, an active participant in the Delaware Biotechnology Initiative, has five faculty members currently engaged in research in this area, applying their expertise in machine learning, distributed artificial intelligence, computer vision, and natural language processing to address a wide variety of biological problems.
In addition, the Department of Computer and Information Sciences is also the academic home of the Center for Bioinformatics & Computational Biology (CBCB). The CBCB is an interdisciplinary, cross-campus and inter-institutional initiative for the Delaware research and education community, and is built on the Bioinformatics core at the Delaware Biotechnology Institute (DBI) and the Bioinformatics infrastructure of the Protein Information Resource (PIR). Students who are interested in Bioinformatics can apply directly to the Graduate programs in Bioinformatics and Computational Biology. These programs are administered through the Department of Computer & Information Sciences, and are coordinated by the CBCB.
Current projects include identifying protein homologues such as immune system enhancers and transporter proteins, building automated annotation systems, inferring genetic networks and their evolution, analyzing images of microarrays, and protein docking, and text-mining information such as protein-protein and protein-drug interactions from biomedical literature. These projects are supported by grants from NSF, NIH, USDA, and the US Army.
Current CIS Faculty
John Case, Professor: Functional, comparative genomics, and machine learning.
Keith Decker, Associate Professor: Automated information gathering and integration, Data mining/extraction, gene networks and pathways.
Chandra Kambhamettu, Professor: Protein docking, Image analysis and Visualization for bioinformatics applications.
Li Liao, Associate Professor: Functional, comparative genomics, gene networks and pathways, and machine learning.
Vijay Shanker, Professor: Text mining, information extraction and machine learning.
Hagit Shatkay, Associate Professor (joint appointment with Center for Bioinformatics & Computational Biology and Biomedical Engineering): Computational biology, medical informatics, bioinformatics, machine learning, data and text mining, and their various combinations.
Michela Taufer, Assistant Professor (joint appointment with Center for Bioinformatics & Computational Biology and Biomedical Engineering): Protein-ligand docking, RNA secondary structure predictions.
Cathy Wu, Edward G. Jefferson Chair of Bioinformatics and Computational Biology: Biological Text Mining, Biological Ontology, Computational Systems Biology, Protein Structure-Function-Network Analysis, Bioinformatics Cyberinfrastructure
CBCB Faculty
The CBCB program has a close collaboration among participating Departments across many Colleges. Therefore, program faculty members are from various participating disciplines in these departments.
Graduate Courses
CISC 636 Bioinformatics
CISC 637 Database Systems
CISC 681 Artificial Intelligence
CISC 841 Bioinformatics
CISC 849 Computational Biomedicine
CISC 887 Internet Information Gathering
CISC 889 Advanced Topics: Bioinformatics
CISC 889 Advanced Topics: Machine Learning
CISC 889 Advanced Topics: Modeling and Simulation for Bioinformatic Systems


Who Does Peer Review?
Between January and June 2013, Science contributing correspondent John Bohannon submitted 304 fake research papers to open access journals. The papers were designed with such grave scientific flaws that they should have been rejected immediately by editors and peer reviewers.
This map shows which journals accepted or rejected the papers, along with the email correspondences that led to those outcomes. Using data from email IP addresses and bank invoices, it also compares the countries where publishers claim to be with the location of their editors and bank accounts--information that is frequently obscured by open access publishers.
Read the full report here
To see the full list of publishers, papers, and emails, visit the Data Page


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useragentparser is an open source web service for parsing user agent strings into meaningful information.
TweetIt extracts the following informations from user agent strings:
User agent parser is written in Go and built on top of ua-parser, you can find the source code on GitHub.
http://useragentparser.basiclytics.com/api
All calls are returned in JSON.
The rate limit allows you to make 3600 requests per hour and implements the standard X-RateLimit-*
headers in every API response
X-RateLimit-Limit
The number of requests allowed per hour.X-RateLimit-Remaining
The number of requests remaining in the current window.X-RateLimit-Reset
The number of second before the rate limit window resets.The API supports Cross Origin Resource Sharing (CORS) allowing you to make AJAX requests from anywhere.
$ curl -G http://useragentparser.basiclytics.com/api --data-urlencode "ua=Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:32.0) Gecko/20100101 Firefox/32.0"
{ "ua_string": "Firefox 32.0", "ua_version": "32.0", "ua_major": "32", "ua_minor": "0", "ua_patch": "", "os_string": "Ubuntu", "os_version": "", "os_major": "", "os_minor": "", "os_patch": "", "os_patch_minor": "", "device_family": "Other" }
© 2014 Thomas Sileo


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usage
<x-details> Sample summary
Sample description
 </x-details>


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/proposed.20lemmas.20for.20mathlib.html ---
I'd like to add
lemma min_fac_le_div {n : ℕ} (pos : 0 < n) (np : ¬ prime n) : min_fac n ≤ n / min_fac n := ...
to mathlib.
I have an (almost-surely-pessimal) proof, so I'm not asking about that for now, just asking about suitability for mathlib.
One could make an iff
version too.
Seems legit
What's the iff version?
I hope your proof begins apply min_fac_le_of_dvd,
I guess : ¬ prime n \iff min_fac n ≤ n / min_fac n
Oh that makes sense. I was imaging something like "p is the minimum factor of n if and only if ..." and got stuck.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


3 Question #2
Open the SQL Window in the DB Manager and try to delete one entry, which will throw an error message that this operation is not permitted.
First we will create two users carto_csa
and inter_csa
.
<- "CREATE ROLE carto_csa LOGIN PASSWORD 'map';"
user_01 <- "CREATE ROLE inter_csa LOGIN PASSWORD 'intern' VALID UNTIL '2021-03-01';"
user_02 dbSendQuery(con, user_01)
dbSendQuery(con, user_02)
Secondly, will give to carto_csa
privileges to read salzburg_buildings
(only SELECT commands).
<- "GRANT SELECT ON salzburg_buildings TO carto_csa;"
user_01_01 dbSendQuery(con, user_01_01)
We can grant permission to read views. See as follow:
<-
query_02 "CREATE OR REPLACE VIEW intern_view AS" %|%
"SELECT" %|%
"b.id," %|%
"b.name," %|%
"b.geometry," %|%
"b.osm_id," %|%
"b.code," %|%
"b.fclass," %|%
"b.type" %|%
"FROM" %|%
"salzburg_buildings AS b," %|%
"(SELECT geom FROM security_geofence WHERE project = 'intern') AS i" %|%
"WHERE" %|%
"st_intersects(ST_SetSRID(b.geometry,32633), i.geom);"
<- "GRANT SELECT ON intern_view TO inter_csa;"
query_03 dbSendQuery(con, query_02)
dbSendQuery(con, query_03)
Using R we can visualize the new view.
<- dbDriver("PostgreSQL") # load the PostgreSQL driver
drv <- RPostgreSQL::dbConnect(
con drv = drv,
dbname = "spdb_course",
host = "localhost",
user = "inter_csa",
password = "intern",
port = 5432
)<- st_read(con, query = "SELECT * FROM intern_view;")
salzburg_buildings plot(salzburg_buildings["type"])
Finally we can filter, using the security_level
column.
<-
query_04 "CREATE OR REPLACE VIEW intern_neq_view AS" %|%
"SELECT" %|%
"b.id," %|%
"b.name," %|%
"b.security_level," %|%
"b.geometry," %|%
"b.osm_id," %|%
"b.code," %|%
"b.fclass," %|%
"b.type" %|%
"FROM" %|%
"salzburg_buildings AS b," %|%
"(SELECT geom FROM security_geofence WHERE project = 'intern') AS i" %|%
"WHERE" %|%
"st_intersects(ST_SetSRID(b.geometry,32633), i.geom);"
<- "GRANT SELECT ON intern_neq_view TO inter_csa;"
query_05 dbSendQuery(con, query_04)
dbSendQuery(con, query_05)
<- st_read(con, query = "SELECT * FROM intern_neq_view;")
salzburg_buildings_box plot(salzburg_buildings_box)


"SEVENTY WEEKS "a prophetic period mentioned in Daniel 9:24, and usually interpreted on the “year-day” theory, i.e., reckoning each day for a year. This period will thus represent 490 years. This is regarded as the period which would elapse till the time of the coming of the Messiah, dating “from the going forth of the commandment to restore and rebuild Jerusalem” i.e., from the close of the Captivity.
"SEVENTY WEEKS "a prophetic period mentioned in Daniel 9:24, and usually interpreted on the “year-day” theory, i.e., reckoning each day for a year. This period will thus represent 490 years. This is regarded as the period which would elapse till the time of the coming of the Messiah, dating “from the going forth of the commandment to restore and rebuild Jerusalem” i.e., from the close of the Captivity.