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|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
The proposal_update_operation updates an existing transaction proposalThis operation allows accounts to add or revoke approval of a proposed transaction. Signatures sufficient to satisfy the authority of each account in approvals are required on the transaction containing this operation. More...
#include <proposal.hpp>
Classes | |
| struct | fee_parameters_type |
Public Member Functions | |
| account_id_type | fee_payer () const |
| void | validate () const |
| share_type | calculate_fee (const fee_parameters_type &k) const |
| void | get_required_authorities (vector< authority > &) const |
| void | get_required_active_authorities (flat_set< account_id_type > &) const |
| void | get_required_owner_authorities (flat_set< account_id_type > &) const |
| Public Member Functions inherited from graphene::protocol::base_operation | |
| virtual | ~base_operation ()=default |
| template<typename T > | |
| share_type | calculate_fee (const T ¶ms) const |
| fc::optional< fc::future< void > > | validate_parallel (uint32_t skip) const |
Public Attributes | |
| account_id_type | fee_paying_account |
| asset | fee |
| proposal_id_type | proposal |
| flat_set< account_id_type > | active_approvals_to_add |
| flat_set< account_id_type > | active_approvals_to_remove |
| flat_set< account_id_type > | owner_approvals_to_add |
| flat_set< account_id_type > | owner_approvals_to_remove |
| flat_set< public_key_type > | key_approvals_to_add |
| flat_set< public_key_type > | key_approvals_to_remove |
| extensions_type | extensions |
Additional Inherited Members | |
| Static Public Member Functions inherited from graphene::protocol::base_operation | |
| static uint64_t | calculate_data_fee (uint64_t bytes, uint64_t price_per_kbyte) |
The proposal_update_operation updates an existing transaction proposal
This operation allows accounts to add or revoke approval of a proposed transaction. Signatures sufficient to satisfy the authority of each account in approvals are required on the transaction containing this operation.
If an account with a multi-signature authority is listed in approvals_to_add or approvals_to_remove, either all required signatures to satisfy that account's authority must be provided in the transaction containing this operation, or a secondary proposal must be created which contains this operation.
NOTE: If the proposal requires only an account's active authority, the account must not update adding its owner authority's approval. This is considered an error. An owner approval may only be added if the proposal requires the owner's authority.
If an account's owner and active authority are both required, only the owner authority may approve. An attempt to add or remove active authority approval to such a proposal will fail.
Definition at line 119 of file proposal.hpp.
| share_type graphene::protocol::proposal_update_operation::calculate_fee | ( | const fee_parameters_type & | k | ) | const |
Definition at line 79 of file proposal.cpp.
|
inline |
Definition at line 137 of file proposal.hpp.
|
virtual |
Reimplemented from graphene::protocol::base_operation.
Definition at line 97 of file proposal.cpp.
|
virtual |
Reimplemented from graphene::protocol::base_operation.
Definition at line 84 of file proposal.cpp.
|
virtual |
Reimplemented from graphene::protocol::base_operation.
Definition at line 103 of file proposal.cpp.
|
virtual |
Reimplemented from graphene::protocol::base_operation.
Definition at line 51 of file proposal.cpp.
| flat_set<account_id_type> graphene::protocol::proposal_update_operation::active_approvals_to_add |
Definition at line 129 of file proposal.hpp.
| flat_set<account_id_type> graphene::protocol::proposal_update_operation::active_approvals_to_remove |
Definition at line 130 of file proposal.hpp.
| extensions_type graphene::protocol::proposal_update_operation::extensions |
Definition at line 135 of file proposal.hpp.
| asset graphene::protocol::proposal_update_operation::fee |
Definition at line 127 of file proposal.hpp.
| account_id_type graphene::protocol::proposal_update_operation::fee_paying_account |
Definition at line 126 of file proposal.hpp.
| flat_set<public_key_type> graphene::protocol::proposal_update_operation::key_approvals_to_add |
Definition at line 133 of file proposal.hpp.
| flat_set<public_key_type> graphene::protocol::proposal_update_operation::key_approvals_to_remove |
Definition at line 134 of file proposal.hpp.
| flat_set<account_id_type> graphene::protocol::proposal_update_operation::owner_approvals_to_add |
Definition at line 131 of file proposal.hpp.
| flat_set<account_id_type> graphene::protocol::proposal_update_operation::owner_approvals_to_remove |
Definition at line 132 of file proposal.hpp.
| proposal_id_type graphene::protocol::proposal_update_operation::proposal |
Definition at line 128 of file proposal.hpp.


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--- layout: page title: "JSON-LD 1.0" description: "JSON is a useful data serialization and messaging format. This specification defines JSON-LD, a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines." ---
| Document Name: | W3C TR http://www.w3.org/TR/json-ld |
|---|---|
| Document URI: |
http://www.w3.org/TR/json-ld
|
| Online Version: |
http://www.w3.org/TR/json-ld
|
| Organization: | World Wide Web Consortium (W3C) |
| Series: | Technical Report (TR) |
| Abstract: | JSON is a useful data serialization and messaging format. This specification defines JSON-LD, a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. |
application/ld+json
Return to ( Series | Organization | all Specifications )


Region Amazonas
Pirarucú
Pirarucú It is the largest freshwater fish in the world, it is served fried and its texture is compared to the taste of chicken. As it is a typical dish, it is in danger of extinction, so you should eat it only if it comes from a farm.
Humitas
The huminta or humita is a food based on corn that is consumed in the Andean area: Chile, Peru, Argentina, Bolivia, Ecuador and southern Colombia. It basically consists of a pasta or corn dough lightly seasoned, wrapped and finally cooked or toasted in the leaves (chala or panca) of an ear of corn.
Region Andina
Ajiaco
Ajiaco is a typical dish of the gastronomy of the Santa Fé region of Bogotá and has become the most traditional and delicious soup in Colombia. Although there are many ways to prepare it, I share an easy recipe to delight your family at home.
Bandeja paisa
The Bandeja paisa is a cultural representation of Colombia, indeed, it is one of the most outstanding dishes in the country. Its origin is in the coffee region (Antioquia, Caldas, Risaralda, Quindío and the north of ValledelCauca) although it is said that it is specifically from Antioquia.
Region Caribe
Arepa de huevo
In this recipe we bring a very popular option from the Atlantic and Pacific coasts of Colombia, the famous Colombian arepa de huevo that is consumed as a starter or for breakfast. Egg arepas require technique both in the preparation of the dough and in its cooking, so don't miss out on the step-by-step detail of this Caribbean delicacy.
Viuda de bocachico
This is one of the most delicious typical recipes of Colombian cuisine. Corresponds to departments bathed by the Magdalena River, the main fluvial artery in Colombia. Which measures more than 1500 km, and crosses the entire Colombian territory, passes through the departments of Cauca, Huila, Tolima, Cundinamarca, Caldas, Boyacá, Santander, Antioquia, Bolívar, Cesar, Magdalena, Sucre and Atlántico, this is also elaborated Colombian food on the shores of the Caribbean Sea.
Region Insular
Sopa de cangrejo
Colombian-style crab soup is one of the most striking recipes in Latin American cuisine. Colombian culinary culture is varied and full of interesting recipes that are worth trying. One of the most outstanding is this Colombian-style crab soup.
Pollo guisado con Dumplings
The chicken is sealed in coconut oil and then cooked with onion, paprika, salt, chili, garlic and celery, then the dumplings are sautéed for a few minutes before the oil is removed from the heat. The chicken is tender by the process of sealing with coconut oil and the result is one of the most delicious and sought-after dishes in the entire region.
Region Pacifico
Aborrajado de pescado
One of the most abundant fish on the rocky margins of La Arena beach is the mojarra (also called sardo), whose fry enter the Barbadún estuary to feed on the plankton and algae that abound at the mouth of the estuary. We will make some fillets of this excellent fish, just battered with egg and flour, and fried.
Empanadas de jaiba
The empanada is a reference of Colombian gastronomy, it is consumed both for starters and for breakfast or dinner, it is multifaceted, as they are made in a thousand ways, below we offer you today the recipe for empanadas stuffed with crab, something unprecedented that for sure you have not tried.


--- layout: page title: Sandbox Registration Information redirect_from: /register/ ---
Sandboxes are required for partners or customers looking to use Concur's APIs to read and write data from Concur. It is important that you contact your assigned technical resource at Concur to gain access to a sandbox that best fits your scenario.
If you are unsure of your technical contact, consider these 3 scenarios then identify the correct contact via the page below:
Please read thorugh this page for more information: Why Concur


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Node
is a worker machine in Kubernetes, previously known as Minion
. Node
may be a VM or physical machine, depending on the cluster. Each node has
the services necessary to run Pods and is managed by the master
components. The services on a node include docker, kubelet and network proxy. See
The Kubernetes Node section in the
architecture design doc for more details.
Node status describes current status of a node. For now, there are the following pieces of information:
The usage of these fields varies depending on your cloud provider or bare metal configuration.
HostName: Generally not used
ExternalIP: Generally the IP address of the node that is externally routable (available from outside the cluster)
InternalIP: Generally the IP address of the node that is routable only within the cluster
Node Phase is the current lifecycle phase of node, one of Pending
,
Running
and Terminated
.
Pending: New nodes are created in this state. A node stays in this state until it is configured.
Running: Node has been configured and the Kubernetes components are running
Terminated: Node has been removed from the cluster. It will not receive any scheduling requests, and any running pods will be removed from the node.
Node with Running
phase is necessary but not sufficient requirement for
scheduling Pods. For a node to be considered a scheduling candidate, it
must have appropriate conditions, see below.
Node Condition describes the conditions of Running
nodes. Currently the only
node condition is Ready. The Status of this condition can be True, False, or
Unknown. True means the Kubelet is healthy and ready to accept pods.
False means the Kubelet is not healthy and is not accepting pods. Unknown
means the Node Controller, which manages node lifecycle and is responsible for
setting the Status of the condition, has not heard from the
node recently (currently 40 seconds).
Node condition is represented as a json object. For example,
the following conditions mean the node is in sane state:
"conditions": [
{
"kind": "Ready",
"status": "True",
},
]
If the Status of the Ready condition is Unknown or False for more than five minutes, then all of the Pods on the node are terminated by the Node Controller.
Describes the resources available on the node: CPUs, memory and the maximum number of pods that can be scheduled onto the node.
General information about the node, for instance kernel version, Kubernetes version (kubelet version, kube-proxy version), docker version (if used), OS name. The information is gathered by Kubelet from the node.
Unlike Pods and Services, a Node is not inherently created by Kubernetes: it is either taken from cloud providers like Google Compute Engine, or from your pool of physical or virtual machines. What this means is that when Kubernetes creates a node, it is really just creating an object that represents the node in its internal state. After creation, Kubernetes will check whether the node is valid or not. For example, if you try to create a node from the following content:
{
"kind": "Node",
"apiVersion": "v1",
"metadata": {
"name": "<IP_ADDRESS>",
"labels": {
"name": "my-first-k8s-node"
}
}
}
Kubernetes will create a Node object internally (the representation), and
validate the node by health checking based on the metadata.name
field: we
assume metadata.name
can be resolved. If the node is valid, i.e. all necessary
services are running, it is eligible to run a Pod; otherwise, it will be
ignored for any cluster activity, until it becomes valid. Note that Kubernetes
will keep the object for the invalid node unless it is explicitly deleted by the client, and it will keep
checking to see if it becomes valid.
Currently, there are three components that interact with the Kubernetes node interface: Node Controller, Kubelet, and kubectl.
Node controller is a component in Kubernetes master which manages Node objects. It performs two major functions: cluster-wide node synchronization and single node life-cycle management.
Node controller has a sync loop that creates/deletes Nodes from Kubernetes
based on all matching VM instances listed from the cloud provider. The sync period
can be controlled via flag --node-sync-period
. If a new VM instance
gets created, Node Controller creates a representation for it. If an existing
instance gets deleted, Node Controller deletes the representation. Note however,
that Node Controller is unable to provision the node for you, i.e. it won’t install
any binary; therefore, to
join a node to a Kubernetes cluster, you as an admin need to make sure proper services are
running in the node. In the future, we plan to automatically provision some node
services.
When kubelet flag --register-node
is true (the default), the kubelet will attempt to
register itself with the API server. This is the preferred pattern, used by most distros.
For self-registration, the kubelet is started with the following options:
--api-servers=
tells the kubelet the location of the apiserver.--kubeconfig
tells kubelet where to find credentials to authenticate itself to the apiserver.--cloud-provider=
tells the kubelet how to talk to a cloud provider to read metadata about itself.--register-node
tells the kubelet to create its own node resource.Currently, any kubelet is authorized to create/modify any node resource, but in practice it only creates/modifies its own. (In the future, we plan to limit authorization to only allow a kubelet to modify its own Node resource.)
A cluster administrator can create and modify Node objects.
If the administrator wishes to create node objects manually, set kubelet flag
--register-node=false
.
The administrator can modify Node resources (regardless of the setting of --register-node
).
Modifications include setting labels on the Node, and marking it unschedulable.
Labels on nodes can be used in conjunction with node selectors on pods to control scheduling, e.g. to constrain a Pod to only be eligible to run on a subset of the nodes.
Making a node unscheduleable will prevent new pods from being scheduled to that node, but will not affect any existing pods on the node. This is useful as a preparatory step before a node reboot, etc. For example, to mark a node unschedulable, run this command:
kubectl replace nodes <IP_ADDRESS> --patch='{"apiVersion": "v1", "unschedulable": true}'
Note that pods which are created by a daemonSet controller bypass the Kubernetes scheduler, and do not respect the unschedulable attribute on a node. The assumption is that daemons belong on the machine even if it is being drained of applications in preparation for a reboot.
The capacity of the node (number of cpus and amount of memory) is part of the node resource. Normally, nodes register themselves and report their capacity when creating the node resource. If you are doing manual node administration, then you need to set node capacity when adding a node.
The Kubernetes scheduler ensures that there are enough resources for all the pods on a node. It checks that the sum of the limits of containers on the node is no greater than the node capacity. It includes all containers started by kubelet, but not containers started directly by docker, nor processes not in containers.
If you want to explicitly reserve resources for non-Pod processes, you can create a placeholder pod. Use the following template:
apiVersion: v1
kind: Pod
metadata:
name: resource-reserver
spec:
containers:
- name: sleep-forever
image: gcr.io/google_containers/pause:0.8.0
resources:
limits:
cpu: 100m
memory: 100Mi
Set the cpu
and memory
values to the amount of resources you want to reserve.
Place the file in the manifest directory (--config=DIR
flag of kubelet). Do this
on each kubelet where you want to reserve resources.
Node is a top-level resource in the kubernetes REST API. More details about the API object can be found at: Node API object.


Siamese neural network
Neural network which, given two images, verifies the existence of kinship and recognizes the type of the latter
Read MoreNeural network which, given two images, verifies the existence of kinship and recognizes the type of the latter
Read MoreEnterprise mobile application developed in collaboration with the LOTS company that allows the management of one's professional baggage
Read MoreFront-end for the management of a smart farm developed for a university project
Read MoreWebsite for the sale of over-the-counter drugs developed for a university project
Read More


"Soccer is simple, but it is difficult to play simple" -Johan Cruyff The same applies to Web Development and UI design. My aim has always been to create simple but efficient UI. It is an art that requires patience and practice.
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Fundamental data is selected and accessed via fine fundamental universe selection. To use this data, please see more information in the Universes documentation.
Fundamental selection functions receive a FineFundamental
object each day with updated fundamental data for your algorithm. Using this collection of fundamental data, the fine filter functions pick assets and return a list of Symbol
objects.
def FineSelectionFunction(self, fine): # sort descending by P/E ratio sortedByPeRatio = sorted(fine, \ key=lambda x: x.ValuationRatios.PERatio, reverse=True) # take the top entries from our sorted collection return [ x.Symbol for x in sortedByPeRatio[:10] ]
public IEnumerableFineSelectionFunction(IEnumerable fine) { // sort descending by P/E ratio var sortedByPeRatio = fine.OrderByDescending(x => x.ValuationRatios.PERatio); // take the top entries from our sorted collection var topFine = sortedByPeRatio.Take(NumberOfSymbolsFine); // we need to return only the symbol objects return topFine.Select(x => x.Symbol); }
Many of the MorningStar values are MultiPeriodField
objects. These represent a timespan of data, normally either OneMonth
, ThreeMonths
, SixMonths
, or TwelveMonths
. You can see the auto-generated classes on Github if you'd like to see the objects.


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Columbia University
CHANGE
Meal Swipes
Club Events
1:1 Meetup
Pantries
Pantry 1, Furnald 8
5 min
New Arrivals
See Inventory
Pantry 5, Schapiro 6
5 min
New Arrivals
See Inventory
Pantry 3, Hartley 2
5 min
New Arrivals
See Inventory


Ãnnn.. I think it was not him that you were looking for.
Try this:
-
{% for page, item in nav %}
{% if page != "home" %}
- {{ item.label }} {% endif %} {% endfor %}
{% set sub_title = "404 Page not found" %} {% set current_page = "page_not_found" %} {% extends "partials/base.html" %} {% block content %}
Ãnnn.. I think it was not him that you were looking for.


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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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THE DATA PRESENTED HERE AT ANY POINT IN TIME MAY NOT BE COMPLETE, ACCURATE AND/OR UPTODATE.
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Introduction
The openGFX430 is a synthesizable Graphic controller written in Verilog and tailored for the
openMSP430
core.
An example implementation based on the
DE0-Nano-SoC
and
LT24 daughter board
from Terasic can be found in the openMSP430 FPGA section (
see here
).
Features & TODOs
Features
Support of the following graphic modes:
16bpp
8bpp
4bpp
2bpp
1bpp
Smart address generation unit for fast indirect memory access.
GPU allowing hardware FILL, COPY and COPY_TRANSPARENT operations.
Supports the
LT24
Terasic daughter card.
TODOs
In no particular priority order:
RTL:
Add support popular video interfaces (i.e. probably SPI and VGA in addition to LT24).
Character processing unit.
Hardware cursor
Others:
Add proper block level verification environment.
Documentation.
Download
Design
The complete tar archive of the project can be downloaded
here
(OpenCores account required).
The following SVN command can be run from a console (or
GUI
):
svn export http://opencores.org/ocsvn/opengfx430/opengfx430/trunk/ opengfx430
ChangeLog
The
Core's ChangeLog
lists the Video Controller updates.
Subscribe to the following
RSS
feed to keep yourself informed about ALL updates.


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Representation of a Set
Description
A set is always denoted by a capital letter. For example: the set A or the set B. The elements are denoted by lower case letters or numbers and are enclosed by curly brackets {a,b,c} or {1,2,3}. The order of the elements in a set is insignificant, but are not repeated by set notation.
- Natural Numbers: A={1,2,3,4}.
- Rational Numbers: A={1⁄2,1⁄3,1⁄4}.
- Real Numbers: A={-∞,...,∞}.
- Prime Numbers:A={2,5,7,11,13}.
- Integers:A={...,-1,0,1,2}.
- Even Integers:A={2,4,6,8}.
- Odd Integers:A={5,7,9,11}.
Representing a set in Various forms
The elements of a set can be represented by the following numbers:
- Natural Numbers: A={1,2,3,4}.
- Rational Numbers: A={1⁄2,1⁄3,1⁄4}.
- Real Numbers: A={-∞,...,∞}.
- Prime Numbers:A={2,5,7,11,13}.
- Integers:A={...,-1,0,1,2}.
- Even Integers:A={2,4,6,8}.
- Odd Integers:A={5,7,9,11}.
The set is described as a statement of all elements. For example: The set of the first four natural numbers. The set A comprising the first three natural numbers.
Symbolic form used to represent all elements of a set. For example: A={x: 0
This is also known as list form, whereby the elements of the set are enclosed in brackets and separated by commas. For example: A={1,2,3,4}.


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Welcome to BarterMe
BarterMe is an online trading platform for users to trade their
unwanted things for
something else that’s of use to them. Day and day a lot of products
that still are in
tint good condition are being thrown away simply because the owners
got bored or
it was no longer of use to them.
BarterMe is a proud community where we promote “Reuse Repurpose and
Recycle”
Users can upload pictures of their items they want to barter and
enlist them on our trading platform.Users can propose an offer to
trade ,can initiate barter mode once
the offer has been accepted by both party.


This chart uses the showArea option to draw line, dots but also an area shape. Use the low option to specify a fixed lower bound that will make the area expand. You can also use the areaBase property to specify a data value that will be used to determine the area shape base position (this is 0 by default).
By naming your series using the series object notation with a name property, you can enable the individual configuration of series specific settings. showLine
, showPoint
, showArea
and even the smoothing function can be overridden per series! And guess what? You can even override those series settings in the responsive configuration! Check the example code for more details.


This shold be brief: "George of the Jungle", Disneys most recent entry into the live action Genre, is a very entertaining and hilarious day at the movies. First blush reaction to the whole premise might be one of "great..another TV series made into a movie...this'll probably be as bad as The Flinstones..."
Not true. "George" is a funny, refreshing, and fast paced update of the '67 animated series.
The story is a familiar one...boy lost in jungle, raised by apes, speaks with Tarzanesque "George not like liver" english, saves girl from lion, falls in love with girl, etc. It follows a Croc Dundee territory swap, as George goes to NYC to recover from a gunshot wound. Girls' rich parents reject him because he's "stripes" to her "spots", on and on.
But what is so entertaining is that all along the way, the film zigs where you expect it to zag. An expected routine punchline is replaced by a well written, witty exchange. A bad guy stops to argue with the narrator. The kenyan tour guide stops to tell the camera about the hilarity of a "man falling in elephant poop".
In short, it is well written. They sidestepped what could have become typical cliches. They thought about it, in the writing process, re-working lines until they were funny, not just typical.
The humor is sometimes adult, the inside references zinging over the kid's heads like so many spitballs. But the kids have their share of laughs as well. It is appropriate for all ages, just one questionable word, "ass".
Go see it. You will laugh enough times to make your $7.50 well worth it. The movie does NOT take itself seriously, and for that reason, allows you the viewer to laught right along with it. You're in on the joke.
4 stars out of 5.
Pat McCarty
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Drag & drop "screenshare_chrome_extension.crx" as file downloaded to
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Now that you have read the instructions, we will give you a basic quiz to confirm that you understand the rules of the game. You will be paid an additional $.50 for each correct answer in the quiz.
{% formfield player.q1 %}
{% formfield player.q2 %}
{% formfield player.q3 %}
{% formfield player.q4 %}
{% formfield player.q5 %}
{% formfield player.q6 %}
{% next_button %}
{% endblock %}


Texture Poem
July 4th, 2009
When some morning, like all they do -the birds sing
bursting shrill - all so warm noises sleep through
Nothing same surround them but light as air
and the sleepy language between them and clouds speak
They speak come rain in daylight, block the sun
dress the moon, mornings and twilight
So come clouds and speaker your wispy voice rain
tell the cherished stories, share your evening
For I am by atmosphere where in the rainy season- everything is
and so to for will be everything together
built out of determination
that is nothing ever built
So it be a memory and never more meaningless
it has no odor and taste - not like the fleshy brain residue
so be it caught up in the forests
-what stones around call to you
-what do textures speak to you
as you run your hand across them
-stone surfaces, iconography
run your hand across the water
the sunlight and the air
what does the ash of me feel to you?
What does it speak? with no words
but other side of who is empathy
cast about in long sighs, eye movement, signs and sacrifices
and a radiation of textures that dare to speak
they cannot fail you now will I ever dare-
rip apart the textures of the stones, the earthen ground
By which process some day our ashes turned to
bound time bound space together
The calm before the storm -and
how stormy it will get
here in this place
I will side by side with stormy weather
for a chance to find
comfort too good to find
in the wild wind
soaked by rain and charred by fire.


{% extends "base.html" %} {% load widget_tweaks %} {% block title %} - Sesames{% endblock %} {% block pagecss %} {% endblock %} {% block pageplugin %} {% endblock %} {% block content %}
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{% endif %} {% if next %} {% if user.is_authenticated %}Your account doesn't have access to this page. To proceed, please login with an account that has access.
{% else %}Please login to see this page.
{% endif %} {% endif %}


{% extends "email/base.html" %} {% block subject %}Permission Grant Request{% endblock %} {% block content %}
{{ user_name }} has requested a permission be granted to the group {{ group_name }}.
More details about the request:
Take action on this permission request
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The Data of Watercolor: Creating & Analyzing Watercolor Art to Support Generative Art Creation
DoIIIT is excited to announce a series of generative art experiments workshops during the upcoming week & Winter semester 2019. In this series of workshops entitled: "The Data of Watercolor: Creating & Analyzing Watercolor Art to Support Generative Art Creation", we invite a group of students and faculty who are passionate about redesigning processes of traditional art with digital tools and platforms. Creative outcomes of these workshops will be exhibited in the DOIIIT exhibition area, located on the 4th floor of the North Quad.
The first workshop will start next Thursday (12.6) from 12-3pm. In this event, we will introduce the project objective/resource, and watercolor making techniques. Participants will get hands-on experience in making watercolor paint from pigment and binders.
Program Objectives
- Build a connection between pigments, watercolor forms, and digital creations
- Creating, collecting, and digitizing original watercolor art
- Exploring possibilities of applying data science methods in generative art (i.e. if you treat colors/art pieces as datasets, what would you want to get from the dataset?)
- Create physical art pieces for DoIIIT's exhibition area + digital interactive pieces for the display area
Future Workshops in 2019
- Generative art in javascript/python
- Introduce generative art resources
- Tutorial for basic image processing in python
- Discussion for physical + digital creations
- Paint making + painting section
Organized by
Licia (Workshop Leader), cindy, Mauli Organizing Committee of DoIIIT - Designers of Interactive, Intelligent, and Interconnected Things 2018/2019 doiiit.github.io


These functions interrogate the R process to determine what valid modes of asking for credentials might be. For example the shiny app will work with R GUI and RStudio, but is somewhat cumbersome (and maybe entirely impractical) for command line R (especially when operating over SSH).
list_credentialing_options() get_recommended_credentialer() get_first_available_credentialer(preferences) is_readline_credentialing_available() is_readline_credentialing_recommended() is_rstudioapi_credentialing_available() is_rstudioapi_credentialing_recommended() is_shiny_credentialing_available() is_shiny_credentialing_recommended() is_tcltk_credentialing_available() is_tcltk_credentialing_recommended()
| preferences | Character. An ordered list of preferred credentialing options. The first
option on the list that is functional on the user's system will be used. Note that in the
event that none of the preferred options is available on a user's system, then all
available options (per |
|---|
Credentialing via readline
is available when R
is
run on a terminal (i.e., command line R
). It is not recommended
when running using a GUI because it depends on system commands to
turn off echoing of typed text - which is how it prevents passwords
from showing up in the console in plain text. This is a method of
last resort and is only recommended when the GUI-based options are
not available.
In the case that a user is running R with a GUI and no other credentialing
options are available, then as a last resort the readline
approach
can be used with a plain_text
option. This at least prevents a
user's password from persisting in a command history (e.g., if the password
were entered when calling a function) but it is exposed in plain text on the
console. If this happens a warning message will be printed explaining how
a user might go about installing a package to enable veiled password entry.
Credentialing via the rstudioapi
package is available when R
is
run using the RStudio IDE and not otherwise. It is the preferred approach if
it is available and the dependencies required for shiny
credentialing
are not installed.
Shiny credentialing depends on both the shiny
and miniUI
packages being available.
It also requires that R
is being run using a GUI (e.g., not on the command line). Shiny
is designated as the recommended option when R is run via RStudio and the necessary dependencies
are available. While this may seem odd given that there is an rstudioapi
credentialing
option, the shiny
option is superior in that it is the only option to provide an optional
cache password checkbox and is also the only option where the user can modify the user name input
after the function is called.
Credentialing via tcltk
is available when R
tcltk
is available.
This means that R
was compiled with tcltk
(see ?capabilities
)
and the tcltk
package is installed. One additional special check is that R
is not running under RStudio Server. This special case is needed because RStudio Server
can pass the first checks, but tcltk
fails to pop up a window on top of the
web browser serving out RStudio in that case. Checking for a display is not sufficient
because R GUI reports no display but is in principle able to use tcltk
. This method
is recommended as an option when both shiny
and rstudioapi
approaches are
unavailable.


ng-change Directive Example1
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We aim to provide the best in market services at the most competitive prices, whether it's a wedding, official conference or a small get together. We provide services for all sorts of budgets and ocassions.
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VA-01 VA-02 VA-03 VA-04 VA-05 VA-06 VA-07 VA-08 VA-09 VA-10 VA-11
VA – Sen. Mark R. Warner (D) and Sen. Tim Kaine (D)
Committees
Mark R. Warner is not on any of our key committees.
Tim Kaine is not on any of our key committees.
HEP Grants
In the past 8 years, this state has received: 62 HEP grants, totalling $17,053,000
Institution Amount ($)
------------------------------------------------------------------- ------------
University of Virginia 6,790,000
Virginia Polytechnic Institute and State University 2,794,000
Old Dominion University Research Foundation 1,655,000
VIRGINIA, UNIVERSITY OF 1,434,000
UNIVERSITY OF VIRGINIA 1,312,000
VIRGINIA POLYTECHNIC INSTITUTE 1,091,000
OLD DOMINION UNIVERSITY 847,000
Virginia Polytechnic Institute and State University (Virginia Tech) 665,000
College of William and Mary 274,000
COLLEGE OF WILLIAM AND MARY 64,000
Old Dominion University 62,000
COLLEGE OFWILLIAM AND MARY 60,000
George Mason University 5,000
SC Contracts
In the past 8 years, this state has received: 26 Office of Science contracts, totalling $1,088,781,249
Vendor Amount ($) Item
------------------------------------------------------------------------- ------------- ---------------------------------------------------------
JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 1,084,328,867 OPER OF GOVT R&D GOCO FACILITIES
NATIONAL CAPITOL CONTRACTING, LLC 2,804,247 SUPPORT- ADMINISTRATIVE: OTHER
KPMG LLP 1,200,000 SUPPORT- PROFESSIONAL: OTHER
BRUNDIDGE & STANGER PC 106,811 SUPPORT- PROFESSIONAL: LEGAL
ORACLE AMERICA, INC. 80,850 IT AND TELECOM- OTHER IT AND TELECOMMUNICATIONS
ICF INCORPORATED 55,713 SUPPORT- PROFESSIONAL: OTHER
ORACLE AMERICA, INC. 50,324 ADP SOFTWARE
ALVAREZ & ASSOCIATES, LLC 46,950 ADP SOFTWARE
EC AMERICA, INC. 24,900 ADP SOFTWARE
PC MALL GOV, INC. 17,475 ADPE SYSTEM CONFIGURATION
TOP-TIER TECHNOLOGIES, INC. 14,786 ADP SOFTWARE
DELOITTE CONSULTING LLP 13,750 SUPPORT- PROFESSIONAL: OTHER
DLT SOLUTIONS, LLC 12,931 ADP SOFTWARE
DLT SOLUTIONS, LLC 11,309 IT AND TELECOM- SYSTEMS ANALYSIS
DLT SOLUTIONS, LLC 8,114 IT AND TELECOM- ANNUAL HARDWARE MAINTENANCE SERVICE PLANS
SPECIAL LIBRARIES ASSOCIATION, INC. 3,150 MISCELLANEOUS COMMUNICATION EQUIPMENT
EMERGENT, LLC 1,072 INFORMATION TECHNOLOGY SOFTWARE
NSF MPS Grants
In the past 8 years, this state has received: 658 NSF MPS grants, totalling $107,498,658
Institution Amount ($)
------------------------------------------------- ------------
RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 20,101,846
VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 16,497,592
COLLEGE OF WILLIAM & MARY, THE 13,657,105
RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA 9,464,216
VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY 9,452,631
VIRGINIA COMMONWEALTH UNIVERSITY 7,280,231
OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 5,842,225
GEORGE MASON UNIVERSITY 5,595,574
NORFOLK STATE UNIVERSITY 3,782,647
HAMPTON UNIVERSITY 3,624,363
JAMES MADISON UNIVERSITY 2,310,737
UNIVERSITY OF RICHMOND 2,234,445
MULTIPLE RECIPIENTS 1,200,000
CHRISTOPHER NEWPORT UNIVERSITY 1,077,044
VA POLYTECHNIC INST & ST U 1,066,001
UNIVERSITY OF VIRGINIA 974,585
ASSOCIATION FOR WOMEN IN MATHEMATICS 644,798
AMERICAN STATISTICAL ASSOCIATION 611,493
COLLEGE OF WILLIAM & MARY 557,939
SMITHSONIAN INSTITUTION 480,000
PII REDACTED 250,000
JAMES MADISON UNIVERSITY, INC. 186,722
VIRGINIA INSTITUTE OF MARINE SCIENCE 128,672
WASHINGTON AND LEE UNIVERSITY, THE 124,787
VIRGINIA WESLEYAN COLLEGE 120,438
OLD DOMINION RESEARCH FDN 76,300
SOFTWARE DEFINED RADIO FORUM, INC. 75,000
ASSN FOR WOMEN IN MATH 45,678
MARYMOUNT UNIVERSITY 26,589
AMER STATISTICAL ASSOC 9,000
SULI/CCI Interns
From 2014-2016 (only years available), this state had 72 SULI/CCI interns
# Interns Program College
----------- --------- ---------------------------------------------------
23 SULI Virginia Polytechnic Institute and State University
11 SULI University of Virginia
8 SULI College of William and Mary
6 SULI Christopher Newport University
4 SULI James Madison University
3 SULI George Mason University
2 SULI Old Dominion University
2 SULI Virginia State University
2 SULI Virginia Military Institute
2 SULI Virginia Commonwealth University
2 SULI Washington and Lee University
2 SULI Emory & Henry College
1 SULI University of Mary Washington
1 SULI Radford University
1 SULI Liberty University
1 SULI Hampton University
1 CCI Northern Virginia Community College
VA-01 – Rep. Robert J. Wittman (R) – Wikipedia
Committees
Robert J. Wittman is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $398,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
--------------------------- ------------ ------- ------- ------------------------ ---------------------------------------------------------------------------------
College of William and Mary 210,000 2015 Ongoing Kelley, Michael Materials Path to Improved Energy Efficiency for High Energy Physics Accelerators
College of William and Mary 64,000 2014 2016 Kelley, Michael Laser Polishing: Green Path to Improved Accelerator Surfaces
COLLEGE OF WILLIAM AND MARY 64,000 2013 2014 Kelley Laser Polishing: Green Path to Improved Accelerator Surfaces
COLLEGE OFWILLIAM AND MARY 60,000 2012 2013 Kelley Laser Polishing: Green Path to Improved Accelerator Surfaces
SC Contracts
In the past 8 years, this district has received: 1 Office of Science contracts, totalling $240,155,306
Year Vendor Amount ($) Item
------ ------------------------------------------------------------------------- ------------ --------------------------------
2013 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 70,359,136 OPER OF GOVT R&D GOCO FACILITIES
2012 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 169,796,170 OPER OF GOVT R&D GOCO FACILITIES
NSF MPS Grants
In the past 8 years, this district has received: $9,182,082 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------ ------------
2016 COLLEGE OF WILLIAM & MARY, THE 938,565
2015 COLLEGE OF WILLIAM & MARY 557,939
2015 COLLEGE OF WILLIAM & MARY, THE 1,629,889
2014 COLLEGE OF WILLIAM & MARY, THE 1,447,698
2013 COLLEGE OF WILLIAM & MARY, THE 2,457,279
2013 VIRGINIA INSTITUTE OF MARINE SCIENCE 128,672
2012 CHRISTOPHER NEWPORT UNIVERSITY 185,000
2012 COLLEGE OF WILLIAM & MARY, THE 1,837,040
SULI/CCI Interns
From 2014-2016 (only years available), this district had 1 SULI/CCI intern
Term Name College Host Lab Program
----------- -------------------------- ----------------------------- ------------------------------ ---------
Summer 2016 Nicholas Alexander Gabriel University of Mary Washington Brookhaven National Laboratory SULI
VA-02 – Rep. Elaine G. Luria (D) – Wikipedia
Committees
Elaine G. Luria is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $2,502,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
------------------------------------------- ------------ ------- ----- ------------------------ --------------------------------------------------------------------------------------------------------------------------
Old Dominion University Research Foundation 1,100,000 2015 2017 Gurevich, Alexander Investigation of new superconducting materials for the next generation high-gradient RF cavities for particle accelerators
Old Dominion University Research Foundation 0 2015 2016 Vuskovic, Leposava Plasma Processing Of Srf Cavities For The Next Generation Of Particle Accelerators
Old Dominion University Research Foundation 555,000 2015 2017 Vuskovic, Leposava Plasma Processing of SRF Cavities for the Next Generation of Particle Accelerators
OLD DOMINION UNIVERSITY 465,000 2013 2014 Gurevich Investigation of new superconducting materials for the next generation high-gradient RF cavities for particle accelerators
OLD DOMINION UNIVERSITY 382,000 2012 2014 Vuskovic Plasma Processing of SRF Cavities for the Next Generation of Particle Accelerators
SC Contracts
In the past 8 years, this district has received: 2 Office of Science contracts, totalling $551,202,612
Year Vendor Amount ($) Item
------ ------------------------------------------------------------------------- ------------ --------------------------------
2018 EMERGENT, LLC 1,072 INFORMATION TECHNOLOGY SOFTWARE
2017 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 63,449,400 OPER OF GOVT R&D GOCO FACILITIES
2016 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 124,095,453 OPER OF GOVT R&D GOCO FACILITIES
2015 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 129,910,216 OPER OF GOVT R&D GOCO FACILITIES
2014 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 166,337,305 OPER OF GOVT R&D GOCO FACILITIES
2013 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 67,409,166 OPER OF GOVT R&D GOCO FACILITIES
NSF MPS Grants
In the past 8 years, this district has received: $5,817,072 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------ ------------
2018 COLLEGE OF WILLIAM & MARY, THE 3,182,708
2017 COLLEGE OF WILLIAM & MARY, THE 2,163,926
2015 CHRISTOPHER NEWPORT UNIVERSITY 165,000
2014 VIRGINIA WESLEYAN COLLEGE 120,438
2013 CHRISTOPHER NEWPORT UNIVERSITY 185,000
SULI/CCI Interns
From 2014-2016 (only years available), this district had 8 SULI/CCI interns
Term Name College Host Lab Program
----------- -------------------- --------------------------- ---------------------------------------------- ---------
Summer 2016 Ethan Buck College of William and Mary Thomas Jefferson National Accelerator Facility SULI
Summer 2016 Veronica Over College of William and Mary Thomas Jefferson National Accelerator Facility SULI
Summer 2016 Brandon Mark Buncher College of William and Mary Fermi National Accelerator Laboratory SULI
Summer 2015 Samuel Girdzis College of William and Mary Argonne National Laboratory SULI
Summer 2014 David Andrew Specht College of William and Mary Lawrence Livermore National Laboratory SULI
Summer 2014 Samuel Girdzis College of William and Mary Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Matthew Lee Mendonca College of William and Mary Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Matthew Stephens College of William and Mary Thomas Jefferson National Accelerator Facility SULI
VA-03 – Rep. Robert C. “Bobby” Scott (D) – Wikipedia
Committees
Robert C. “Bobby” Scott is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $62,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
------------------------------------------- ------------ ------- ------- ------------------------ --------------------------------------------------------------------------------------------------------------------------
Old Dominion University 62,000 2018 Ongoing Delayen, Jean Preliminary Investigation of Novel Superconductors for Complex Cavity Geometries
Old Dominion University 0 2018 Ongoing Gurevich, Alexander Investigation of new superconducting materials for the next generation high-gradient RF cavities for particle accelerators
Old Dominion University 0 2018 Ongoing Vuskovic, Leposava Plasma Processing of SRF Cavities for the Next Generation of Particle Accelerators
Old Dominion University Research Foundation 0 2017 2018 Gurevich, Alexander Investigation of new superconducting materials for the next generation high-gradient RF cavities for particle accelerators
Old Dominion University Research Foundation 0 2017 2018 Vuskovic, Leposava Plasma Processing of SRF Cavities for the Next Generation of Particle Accelerators
SC Contracts
In the past 8 years, this district has received: 1 Office of Science contracts, totalling $292,972,021
Year Vendor Amount ($) Item
------ ------------------------------------------------------------------------- ------------ --------------------------------
2019 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 102,781,764 OPER OF GOVT R&D GOCO FACILITIES
2018 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 129,807,045 OPER OF GOVT R&D GOCO FACILITIES
2017 JEFFERSON SCIENCE ASSOCIATES LIMITED LIABILITY COMPANY A SURA/CSC COMPANY 60,383,212 OPER OF GOVT R&D GOCO FACILITIES
NSF MPS Grants
In the past 8 years, this district has received: $21,147,810 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------------- ------------
2019 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 15,000
2018 VIRGINIA COMMONWEALTH UNIVERSITY 889,577
2018 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 902,642
2018 NORFOLK STATE UNIVERSITY 1,499,238
2018 HAMPTON UNIVERSITY 912,802
2018 CHRISTOPHER NEWPORT UNIVERSITY 137,055
2017 VIRGINIA COMMONWEALTH UNIVERSITY 881,339
2017 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 1,256,866
2017 NORFOLK STATE UNIVERSITY 245,489
2017 HAMPTON UNIVERSITY 480,573
2017 CHRISTOPHER NEWPORT UNIVERSITY 404,989
2016 VIRGINIA COMMONWEALTH UNIVERSITY 1,229,344
2016 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 962,212
2016 HAMPTON UNIVERSITY 128,230
2015 VIRGINIA COMMONWEALTH UNIVERSITY 1,009,004
2015 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 279,839
2015 OLD DOMINION RESEARCH FDN 76,300
2015 NORFOLK STATE UNIVERSITY 45,079
2015 HAMPTON UNIVERSITY 709,305
2014 VIRGINIA COMMONWEALTH UNIVERSITY 617,920
2014 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 923,717
2014 NORFOLK STATE UNIVERSITY 30,568
2014 HAMPTON UNIVERSITY 339,125
2013 VIRGINIA COMMONWEALTH UNIVERSITY 435,064
2013 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 882,501
2013 NORFOLK STATE UNIVERSITY 681,568
2013 HAMPTON UNIVERSITY 459,243
2012 NORFOLK STATE UNIVERSITY 1,280,705
2012 VIRGINIA COMMONWEALTH UNIVERSITY 2,217,983
2012 OLD DOMINION UNIVERSITY RESEARCH FOUNDATION 619,448
2012 HAMPTON UNIVERSITY 595,085
SULI/CCI Interns
From 2014-2016 (only years available), this district had 9 SULI/CCI interns
Term Name College Host Lab Program
----------- ------------------------- ------------------------------ ---------------------------------------------- ---------
Summer 2016 Christian Davison Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Quinton Gipson Hampton University Brookhaven National Laboratory SULI
Summer 2015 Christian Davison Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Mitchell Reed Kerver Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Eric James Thompson Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Victoria Grace Lagerquist Old Dominion University Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Joseph David Newton Old Dominion University Brookhaven National Laboratory SULI
Summer 2014 Brad Thomas Damiano Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Angelica Jusino Christopher Newport University Thomas Jefferson National Accelerator Facility SULI
VA-04 – Rep. A. Donald McEachin (D) – Wikipedia
Committees
A. Donald McEachin is the #28 Democrat on the House Committee on Energy and Commerce
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
This district received no NSF MPS grants from 2012-2019
SULI/CCI Interns
From 2014-2016 (only years available), this district had 4 SULI/CCI interns
Term Name College Host Lab Program
----------- ---------------------- -------------------------------- ---------------------------------------------- ---------
Summer 2016 Latasha Bagby Virginia State University Thomas Jefferson National Accelerator Facility SULI
Summer 2016 Adarsha Sapkota Virginia Commonwealth University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Rachel Tomiko Malonson Virginia Commonwealth University Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Erick Huston Virginia State University Oak Ridge National Laboratory SULI
VA-05 – Rep. Denver Riggleman (R) – Wikipedia
Committees
Denver Riggleman is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $9,536,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
----------------------- ------------ ------- ------- ------------------------ ----------------------------------------------------------------------------------
University of Virginia 540,000 2018 Ongoing Dukes, Edmond Probing the Intensity Frontier with NOvA and Mu2e
University of Virginia 10,000 2016 2017 Dukes, Edmond 2016 International Conference on Charged Lepton Flavor Violation
University of Virginia 1,054,000 2014 Ongoing Arnold, Peter The University of Virginia, Theoretical High Energy Physics
University of Virginia 3,300,000 2014 Ongoing Cox, Bradley The University of Virginia Experimental High Energy Physics at the Energy Frontier
University of Virginia 1,886,000 2014 2018 Dukes, Craig Probing the Intensity Frontier with NOvA and Mu2e
VIRGINIA, UNIVERSITY OF 690,000 2013 2014 Cox The University of Virginia Experimental High Energy Physics at the Energy Frontier
VIRGINIA, UNIVERSITY OF 390,000 2013 2014 Dukes Research in the Intensity Frontier: NOvA and Mu2e
VIRGINIA, UNIVERSITY OF 354,000 2013 2014 Thacker The University of Virginia Theoretical High Energy Physics
UNIVERSITY OF VIRGINIA 647,000 2012 2013 Cox The University of Virginia Experimental High Energy Physics at the Energy Frontier
UNIVERSITY OF VIRGINIA 315,000 2012 2013 Dukes Research in the Intensity Frontier: NOvA and Mu2e
UNIVERSITY OF VIRGINIA 350,000 2012 2013 Thacker The University of Virginia Theoretical High Energy Physics
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $31,990,647 in NSF MPS grants.
Year Institution Amount ($)
------ ----------------------------------------------- ------------
2019 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA 265,201
2018 PII REDACTED 150,000
2018 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA 5,162,211
2017 PII REDACTED 100,000
2017 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 261,018
2017 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA 4,036,804
2016 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 3,709,352
2015 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 2,593,931
2015 UNIVERSITY OF VIRGINIA 974,585
2014 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 1,890,476
2013 MULTIPLE RECIPIENTS 1,200,000
2013 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 3,765,318
2012 RECTOR & VISITORS OF THE UNIVERSITY OF VIRGIN 7,881,751
SULI/CCI Interns
From 2014-2016 (only years available), this district had 11 SULI/CCI interns
Term Name College Host Lab Program
----------- --------------------- ---------------------- ---------------------------------------------- ---------
Summer 2016 Heeseok Joo University of Virginia Princeton Plasma Physics Laboratory SULI
Summer 2016 Joseph Edward Daly University of Virginia SLAC National Accelerator Laboratory SULI
Summer 2016 Amanda Seiken University of Virginia Thomas Jefferson National Accelerator Facility SULI
Summer 2016 Bethany Wissmann University of Virginia Thomas Jefferson National Accelerator Facility SULI
Summer 2015 John Hack University of Virginia Brookhaven National Laboratory SULI
Summer 2015 Tyler Lam University of Virginia SLAC National Accelerator Laboratory SULI
Summer 2015 Louis Gerald Lukaczyk University of Virginia SLAC National Accelerator Laboratory SULI
Summer 2015 Sabire Lara Sisman University of Virginia Savannah River National Laboratory SULI
Summer 2014 Benjamin Lake Hill University of Virginia Lawrence Berkeley National Laboratory SULI
Spring 2015 Dustin Ray Crouse University of Virginia National Renewable Energy Laboratory SULI
Fall 2014 Dustin Ray Crouse University of Virginia National Renewable Energy Laboratory SULI
VA-06 – Rep. Ben Cline (R) – Wikipedia
Committees
Ben Cline is the #8 Republican on the House Subcommittee on Higher Education and Workforce Development
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $2,100,840 in NSF MPS grants.
Year Institution Amount ($)
------ ---------------------------------- ------------
2018 JAMES MADISON UNIVERSITY 722,977
2018 WASHINGTON AND LEE UNIVERSITY, THE 27,000
2017 JAMES MADISON UNIVERSITY, INC. 186,722
2014 WASHINGTON AND LEE UNIVERSITY, THE 6,000
2013 JAMES MADISON UNIVERSITY 404,804
2013 WASHINGTON AND LEE UNIVERSITY, THE 91,787
2012 JAMES MADISON UNIVERSITY 661,550
SULI/CCI Interns
From 2014-2016 (only years available), this district had 9 SULI/CCI interns
Term Name College Host Lab Program
----------- ---------------------- ----------------------------- ---------------------------------------------- ---------
Summer 2016 Matthew O'malley James Madison University Argonne National Laboratory SULI
Summer 2016 Shlomo Honig Washington and Lee University Argonne National Laboratory SULI
Summer 2016 Joseph John Lopreto James Madison University Thomas Jefferson National Accelerator Facility SULI
Summer 2015 Erin Delaney O'Brien James Madison University Brookhaven National Laboratory SULI
Summer 2015 Angelo Anthony Kirchon Virginia Military Institute Lawrence Livermore National Laboratory SULI
Summer 2015 Dylan Miller Virginia Military Institute Oak Ridge National Laboratory SULI
Summer 2014 Hunter Wallace Hart James Madison University Lawrence Berkeley National Laboratory SULI
Summer 2014 Tanner James Waggoner Washington and Lee University Pacific Northwest National Laboratory SULI
Spring 2016 Daniel O'neal Reddy Liberty University Savannah River National Laboratory SULI
VA-07 – Rep. Abigail Davis Spanberger (D) – Wikipedia
Committees
Abigail Davis Spanberger is not on any of our key committees.
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $2,234,445 in NSF MPS grants.
Year Institution Amount ($)
------ ---------------------- ------------
2018 UNIVERSITY OF RICHMOND 517,623
2016 UNIVERSITY OF RICHMOND 31,195
2014 UNIVERSITY OF RICHMOND 439,500
2013 UNIVERSITY OF RICHMOND 525,959
2012 UNIVERSITY OF RICHMOND 720,168
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
VA-08 – Rep. Donald S. Beyer, Jr. (D) – Wikipedia
Committees
Donald S. Beyer, Jr. is the #17 Democrat on the House Committee on Science, Space, and Technology
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
In the past 8 years, this district has received: 9 Office of Science contracts, totalling $4,166,262
Vendor Amount ($) Item
----------------------------------- ------------ -------------------------------------
NATIONAL CAPITOL CONTRACTING, LLC 2,804,247 SUPPORT- ADMINISTRATIVE: OTHER
KPMG LLP 1,200,000 SUPPORT- PROFESSIONAL: OTHER
BRUNDIDGE & STANGER PC 106,811 SUPPORT- PROFESSIONAL: LEGAL
ORACLE AMERICA, INC. 38,304 ADP SOFTWARE
DELOITTE CONSULTING LLP 13,750 SUPPORT- PROFESSIONAL: OTHER
SPECIAL LIBRARIES ASSOCIATION, INC. 3,150 MISCELLANEOUS COMMUNICATION EQUIPMENT
NSF MPS Grants
In the past 8 years, this district has received: $1,202,082 in NSF MPS grants.
Year Institution Amount ($)
------ ---------------------------------- ------------
2018 AMERICAN STATISTICAL ASSOCIATION 146,325
2018 MARYMOUNT UNIVERSITY 26,589
2017 AMERICAN STATISTICAL ASSOCIATION 156,780
2016 AMERICAN STATISTICAL ASSOCIATION 201,742
2015 AMER STATISTICAL ASSOC 9,000
2014 SOFTWARE DEFINED RADIO FORUM, INC. 25,000
2013 AMERICAN STATISTICAL ASSOCIATION 61,800
2013 SOFTWARE DEFINED RADIO FORUM, INC. 25,000
2012 AMERICAN STATISTICAL ASSOCIATION 44,846
2012 SMITHSONIAN INSTITUTION 480,000
2012 SOFTWARE DEFINED RADIO FORUM, INC. 25,000
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
VA-09 – Rep. H. Morgan Griffith (R) – Wikipedia
Committees
H. Morgan Griffith is the #12 Republican on the House Committee on Energy and Commerce
HEP Grants
In the past 8 years, this district has received: $4,550,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
------------------------------------------------------------------- ------------ ------- ------- ------------------------ ---------------------------------------------------------------
Virginia Polytechnic Institute and State University 345,000 2018 Ongoing Kelley, Michael Materials Science of the Interstitial Doping Process
Virginia Polytechnic Institute and State University 5,000 2017 2018 Gray, James String Phenomenology 2017 (Conference)
Virginia Polytechnic Institute and State University 610,000 2017 Ongoing Link, Jonathan Virginia Tech Center for Neutrino Physics HEP Umbrella
Virginia Polytechnic Institute and State University 0 2015 2016 Huber, Patrick Neutrinos In The Universe
Virginia Polytechnic Institute and State University 150,000 2015 2016 Huber, Patrick Neutrinos And Beyond
Virginia Polytechnic Institute and State University 1,684,000 2015 Ongoing Piilonen, Leo Studies in Elementary Particle Physics
Virginia Polytechnic Institute and State University (Virginia Tech) 150,000 2014 2015 Huber, Patrick Neutrinos in the Universe
Virginia Polytechnic Institute and State University (Virginia Tech) 515,000 2014 2015 Piilonen, Leo Studies in Elementary Particle Physics
VIRGINIA POLYTECHNIC INSTITUTE 516,000 2013 2014 Piilonen Studies in Elementary Particle Physics
VIRGINIA POLYTECHNIC INSTITUTE 25,000 2012 2014 Huber International Neutrino Summer School, July 10-21, 2012
VIRGINIA POLYTECHNIC INSTITUTE 550,000 2012 2014 Piilonen, Takeuchi Investigations in Experimental and Theoretical Particle Physics
SC Contracts
This district received no SC contracts from 2012-2019
NSF MPS Grants
In the past 8 years, this district has received: $27,016,224 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------------------- ------------
2019 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY 378,188
2018 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY 6,181,788
2017 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY 2,892,655
2016 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 2,476,411
2015 VA POLYTECHNIC INST & ST U 1,066,001
2015 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 3,297,828
2014 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 3,479,214
2013 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 2,583,726
2012 VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVER 4,660,413
SULI/CCI Interns
From 2014-2016 (only years available), this district had 26 SULI/CCI interns
Term Name College Host Lab Program
----------- ---------------------------- --------------------------------------------------- ---------------------------------------------- ---------
Summer 2016 Sara Peterson Virginia Polytechnic Institute and State University SLAC National Accelerator Laboratory SULI
Summer 2016 Jason Gray Virginia Polytechnic Institute and State University Lawrence Livermore National Laboratory SULI
Summer 2016 Christian Gilbertson Virginia Polytechnic Institute and State University SLAC National Accelerator Laboratory SULI
Summer 2016 Matthew Moniot Virginia Polytechnic Institute and State University National Renewable Energy Laboratory SULI
Summer 2016 Alexandra Justice Bosh Virginia Polytechnic Institute and State University Princeton Plasma Physics Laboratory SULI
Summer 2016 Megan Nicole Lilly Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2016 Anthony Lanzillotta Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2016 Lisa Jordan Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2016 Andrew Bowers Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2015 Elizabeth Piersall Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2015 Megan Nicole Lilly Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2015 Marina Kiseleva Virginia Polytechnic Institute and State University Los Alamos National Laboratory SULI
Summer 2015 Erica Kelley Grant Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2015 Andrew Bowers Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2015 Ella Chalkley Virginia Polytechnic Institute and State University National Renewable Energy Laboratory SULI
Summer 2015 Megan Carey Freyman Virginia Polytechnic Institute and State University Lawrence Livermore National Laboratory SULI
Summer 2014 Elizabeth Piersall Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2014 Erica Kelley Grant Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Summer 2014 Morgan Nicole Jacques Radford University Ames National Laboratory SULI
Summer 2014 Amanda Hoebel Virginia Polytechnic Institute and State University Thomas Jefferson National Accelerator Facility SULI
Summer 2014 Jeffrey Glen Stevenson Virginia Polytechnic Institute and State University Thomas Jefferson National Accelerator Facility SULI
Spring 2016 Wesley Holt Higgins Emory & Henry College Oak Ridge National Laboratory SULI
Spring 2015 Mario Sergio Solano Gonzales Virginia Polytechnic Institute and State University Lawrence Berkeley National Laboratory SULI
Spring 2015 Andrew Marino Virginia Polytechnic Institute and State University Oak Ridge National Laboratory SULI
Fall 2015 Wesley Holt Higgins Emory & Henry College Oak Ridge National Laboratory SULI
Fall 2014 Mario Sergio Solano Gonzales Virginia Polytechnic Institute and State University Lawrence Berkeley National Laboratory SULI
VA-10 – Rep. Jennifer Wexton (D) – Wikipedia
Committees
Jennifer Wexton is the #22 Democrat on the House Committee on Science, Space, and Technology
HEP Grants
This district received no SC HEP grants from 2012-2019
SC Contracts
In the past 8 years, this district has received: 1 Office of Science contracts, totalling $17,475
Year Vendor Amount ($) Item
------ ----------------- ------------ -------------------------
2012 PC MALL GOV, INC. 17,475 ADPE SYSTEM CONFIGURATION
NSF MPS Grants
This district received no NSF MPS grants from 2012-2019
SULI/CCI Interns
This district had no SULI/CCI interns from 2014-2016 (only years available)
VA-11 – Rep. Gerald E. Connolly (D) – Wikipedia
Committees
Gerald E. Connolly is not on any of our key committees.
HEP Grants
In the past 8 years, this district has received: $5,000 in SC HEP grants.
Institution Amount ($) Start End Principal Investigator Project Title
----------------------- ------------ ------- ----- ------------------------ -------------------------------------
George Mason University 5,000 2016 2017 Rubin, Philip Support for the BEACH 2016 Conference
SC Contracts
In the past 8 years, this district has received: 14 Office of Science contracts, totalling $267,573
Vendor Amount ($) Item
--------------------------- ------------ ---------------------------------------------------------
ORACLE AMERICA, INC. 80,850 IT AND TELECOM- OTHER IT AND TELECOMMUNICATIONS
ICF INCORPORATED 55,713 SUPPORT- PROFESSIONAL: OTHER
ALVAREZ & ASSOCIATES, LLC 46,950 ADP SOFTWARE
EC AMERICA, INC. 24,900 ADP SOFTWARE
TOP-TIER TECHNOLOGIES, INC. 14,786 ADP SOFTWARE
DLT SOLUTIONS, LLC 12,931 ADP SOFTWARE
ORACLE AMERICA, INC. 12,020 ADP SOFTWARE
DLT SOLUTIONS, LLC 11,309 IT AND TELECOM- SYSTEMS ANALYSIS
DLT SOLUTIONS, LLC 8,114 IT AND TELECOM- ANNUAL HARDWARE MAINTENANCE SERVICE PLANS
NSF MPS Grants
In the past 8 years, this district has received: $6,286,050 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------ ------------
2018 ASSOCIATION FOR WOMEN IN MATHEMATICS 49,966
2018 GEORGE MASON UNIVERSITY 1,393,251
2017 GEORGE MASON UNIVERSITY 860,657
2016 ASSOCIATION FOR WOMEN IN MATHEMATICS 482,649
2016 GEORGE MASON UNIVERSITY 350,402
2015 ASSN FOR WOMEN IN MATH 45,678
2015 GEORGE MASON UNIVERSITY 1,054,722
2014 ASSOCIATION FOR WOMEN IN MATHEMATICS 62,322
2014 GEORGE MASON UNIVERSITY 599,885
2013 ASSOCIATION FOR WOMEN IN MATHEMATICS 49,861
2013 GEORGE MASON UNIVERSITY 665,445
2012 GEORGE MASON UNIVERSITY 671,212
SULI/CCI Interns
From 2014-2016 (only years available), this district had 4 SULI/CCI interns
Term Name College Host Lab Program
----------- ---------------------- ----------------------------------- ---------------------------------------------- ---------
Summer 2016 Evan David Eugene Lamb George Mason University Pacific Northwest National Laboratory SULI
Summer 2015 Felisa Conrad-Burton George Mason University Brookhaven National Laboratory SULI
Summer 2015 Nina Mazzarelli Northern Virginia Community College Fermi National Accelerator Laboratory CCI
Summer 2014 Scott Tyler Carlson George Mason University Thomas Jefferson National Accelerator Facility SULI


Change the default minimum and maximum values on the forest-plot. Note that the plot is log-scale, so a value is ≤0 will cause the plot to fail.


| Package | Description |
|---|---|
| org.apache.derby.client | |
| org.apache.derby.client.am | |
| org.apache.derby.client.net |
| Modifier and Type | Field and Description |
|---|---|
protected LogWriter |
ClientPooledConnection.logWriter_ |
| Constructor and Description |
|---|
ClientPooledConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password)
Constructor for non-XA pooled connections.
|
ClientPooledConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password,
int rmId)
Constructor for XA pooled connections only.
|
ClientXAConnection(BasicClientDataSource40 ds,
LogWriter logWtr,
String userId,
String password) |
| Modifier and Type | Field and Description |
|---|---|
LogWriter |
Agent.logWriter_ |
| Modifier and Type | Method and Description |
|---|---|
protected abstract Agent |
ClientConnection.newAgent_(LogWriter logWriter,
int loginTimeout,
String serverName,
int portNumber,
int clientSSLMode) |
BatchUpdateException |
ClientJDBCObjectFactory.newBatchUpdateException(LogWriter logWriter,
ClientMessageId msgid,
Object[] args,
long[] updateCounts,
SqlException cause)
Creates a BatchUpdateException depending on the JVM level.
|
ClientPooledConnection |
ClientJDBCObjectFactory.newClientPooledConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password)
This method is used to return an instance of the
ClientPooledConnection class which
implements javax.sql.PooledConnection . |
ClientXAConnection |
ClientJDBCObjectFactory.newClientXAConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password)
This method is used to return an instance of
ClientXAConnection (or ClientXAConnection40) class which
implements
javax.sql.XAConnection . |
ColumnMetaData |
ClientJDBCObjectFactory.newColumnMetaData(LogWriter logWriter)
Returns an instanceof ColumnMetaData or ColumnMetaData40 depending
on the jdk version under use
|
ColumnMetaData |
ClientJDBCObjectFactory.newColumnMetaData(LogWriter logWriter,
int upperBound)
Returns an instanceof ColumnMetaData or ColumnMetaData40 depending
on the jdk version under use
|
ClientConnection |
ClientJDBCObjectFactory.newNetConnection(LogWriter logWriter,
int driverManagerLoginTimeout,
String serverName,
int portNumber,
String databaseName,
Properties properties)
This method returns an instance of NetConnection (or NetConnection40)
class which extends from ClientConnection
this implements the java.sql.Connection interface
|
ClientConnection |
ClientJDBCObjectFactory.newNetConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource,
int rmId,
boolean isXAConn)
This method returns an instance of NetConnection (or
NetConnection40) class which extends from ClientConnection.
|
ClientConnection |
ClientJDBCObjectFactory.newNetConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource,
int rmId,
boolean isXAConn,
ClientPooledConnection cpc)
This method returns an instance of NetConnection (or NetConnection40)
class which extends Connection.
|
protected abstract void |
ClientConnection.reset_(LogWriter logWriter) |
void |
ClientConnection.reset(LogWriter logWriter) |
protected abstract void |
Agent.resetAgent_(LogWriter logWriter,
int loginTimeout,
String server,
int port) |
protected void |
ClientConnection.resetConnection(LogWriter logWriter) |
void |
ColumnMetaData.setLogWriter(LogWriter logWriter) |
void |
Agent.setLogWriter(LogWriter logWriter) |
| Constructor and Description |
|---|
Agent(ClientConnection connection,
LogWriter logWriter) |
ClientConnection(LogWriter logWriter,
boolean isXAConn,
BasicClientDataSource40 dataSource) |
ClientConnection(LogWriter logWriter,
int driverManagerLoginTimeout,
String serverName,
int portNumber,
String databaseName,
Properties properties) |
ClientConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource) |
ClientConnection(LogWriter logWriter,
String user,
String password,
boolean isXAConn,
BasicClientDataSource40 dataSource) |
ColumnMetaData(LogWriter logWriter) |
ColumnMetaData(LogWriter logWriter,
int upperBound) |
SqlException(LogWriter logwriter,
ClientMessageId msgid,
Object... args) |
SqlException(LogWriter logWriter,
ClientMessageId msgid,
SqlCode sqlcode,
Object... args) |
SqlException(LogWriter logWriter,
ClientMessageId msgid,
Throwable cause,
Object... args) |
SqlException(LogWriter logWriter,
Sqlca sqlca)
Create an exception for an engine generated error.
|
SqlWarning(LogWriter logWriter,
Sqlca sqlca) |
XaException(LogWriter logWriter,
Throwable throwable,
String s) |
| Modifier and Type | Class and Description |
|---|---|
class |
NetLogWriter |
| Modifier and Type | Method and Description |
|---|---|
protected Agent |
NetConnection.newAgent_(LogWriter logWriter,
int loginTimeout,
String serverName,
int portNumber,
int clientSSLMode) |
BatchUpdateException |
ClientJDBCObjectFactoryImpl.newBatchUpdateException(LogWriter logWriter,
ClientMessageId msgid,
Object[] args,
long[] updateCounts,
SqlException cause)
Creates a BatchUpdateException depending on the JVM level.
|
ClientPooledConnection |
ClientJDBCObjectFactoryImpl.newClientPooledConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password) |
ClientXAConnection |
ClientJDBCObjectFactoryImpl.newClientXAConnection(BasicClientDataSource40 ds,
LogWriter logWriter,
String user,
String password) |
ColumnMetaData |
ClientJDBCObjectFactoryImpl.newColumnMetaData(LogWriter logWriter)
Returns an instance of ColumnMetaData
|
ColumnMetaData |
ClientJDBCObjectFactoryImpl.newColumnMetaData(LogWriter logWriter,
int upperBound)
Returns an instance of ColumnMetaData or ColumnMetaData40 depending
on the JDK version under use
|
ClientConnection |
ClientJDBCObjectFactoryImpl.newNetConnection(LogWriter logWriter,
int driverManagerLoginTimeout,
String serverName,
int portNumber,
String databaseName,
Properties properties) |
ClientConnection |
ClientJDBCObjectFactoryImpl.newNetConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource,
int rmId,
boolean isXAConn) |
ClientConnection |
ClientJDBCObjectFactoryImpl.newNetConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource,
int rmId,
boolean isXAConn,
ClientPooledConnection cpc)
Returns an instance of NetConnection.
|
protected void |
NetConnection.reset_(LogWriter logWriter) |
protected void |
NetAgent.resetAgent_(LogWriter netLogWriter,
int loginTimeout,
String server,
int port) |
| Constructor and Description |
|---|
NetAgent(NetConnection netConnection,
LogWriter logWriter) |
NetXAConnection(LogWriter logWriter,
String user,
String password,
BasicClientDataSource40 dataSource,
int rmId,
boolean isXAConn,
ClientPooledConnection cpc)
The construcor for the NetXAConnection.
|
Copyright © 2016. All rights reserved.


Call me The Philosopher or Aristotle.
It's so strange how confused the world is about everything. There's got to be an answer however.
- Humans have qualities.
- Those qualities are often in the middle of lesser qualities.
- Between racklessness and cowardice is courage.
- Between desperation and laziness is ambition.
- If humans have ideal qualities, then those ideals can be found in the world as well.
- Humans should then build an ideal state based off those proper ideals..
- The truth can be discovered through the natural world.
- People don't face reality.
- Humans go through a metamorphesis.
- They are first a camel to withstand the ideas of the world.
- They then must become a lion to fight off the old ideas.
- They are then a child to recreate their own world.
Although it may seem arduous, it is all for the better. That was the original meaning of philosophy: to find the truth.
No fancy names here besides idealization
There is a reason why you like that painting, because it represents the ideals that you value. If we keep thinking in this way, the world will be a much easier place to take on.


Hygiene is an act that can lead lead to stopping the spread of infections or sickness.This act can be as simple as washing hands before and after the meal or as intricate as providing infection care ina surgican environment
choosing not take part in the practice of hygiene can harm both you and those around you as well.If you wish to not struggle with the bad outcomes that inproper hygiene can cause,you need to make the choice of changing simple things in your life that can have a big impact later on.
This is a great place to talk about your webpage. This template is purposefully unstyled so you can use it as a boilerplate or starting point for you own landing page designs! This template features:
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut optio velit inventore, expedita quo laboriosam possimus ea consequatur vitae, doloribus consequuntur ex. Nemo assumenda laborum vel, labore ut velit dignissimos.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Vero odio fugiat voluptatem dolor, provident officiis, id iusto! Obcaecati incidunt, qui nihil beatae magnam et repudiandae ipsa exercitationem, in, quo totam.


This guide will help you get AppSensor into your application and get you on your way to detecting and responding to events.
The getting started guide helped you get your back-end analysis system setup. This guide leads you through the front-end detection setup as well as discusses some long term issues such as monitoring and maintenance.
After getting your environment setup properly (see getting started), the next step is to have your application start sending events to AppSensor. There are a few standard ways of doing this.
Let's cover each of these in turn:
This is the simplest concept and the most logical case. This will likely be how most of your detection points are added to your application. In this case, you simply modify existing code to additionally report an event to AppSensor.
An example here would be a user entering too many characters in the username field (reference). If the username is intended to have a limit, say, of 30 characters, and the user enters a username with 200 characters, that could be a sign that the user is attempting to attack the application. In this case, a simple modification of existing code would suffice to insert the detection point.
Some pseudocode for this example would look like:
if ( username.length > 30 ) { screen_errors.add ( "The username entered is too long." ) # ----------------------------- # start new code for AppSensor # "AE4" is the identifier for this specific detection point appSensor.addEvent ( logged_in_user, "AE4" ) # end new code for AppSensor # ----------------------------- }
As you can see, supporting the detection point is really a matter of adding a single line of code. However, the real work is in identifying which detection points to use and where to put them.
Another option would be to have a single detection point instrumented into the code in multiple locations. This would typically be handled through Aspect-Oriented Programming (AOP) or a similar mechanism. AOP gives you the constructs necessary to apply a given set of code in multiple locations via convention or configuration as opposed to having to do it manually. This is a desirable strategy for many detection points.
Consider the ACE1 detection point for example, which is "Modifying a URL argument within a GET request for a direct object access attempt". This would be when an attacker tries to change /accounts/1234
to /accounts/1235
in order to access another account. This is a very typical attack, and a very common issue to have to prevent in applications. Many applications will solve this problem in a single method that is applied to multiple locations using AOP.
Using AOP or similar techniques provides a powerful capability as you can apply detection and response more easily to a larger portion of your application.
Many organizations already have powerful security tools setup that they use to protect their applications. AppSensor provides the flexibility to use the intelligence produced by these tools to feed into your detection and response system.
External tools can notify AppSensor of new events just as your normal application code would, assuming you are using a remote deployment option (REST/SOAP/etc.). If your tool provides attack-detection itself, it can even signal AppSensor and notify it of attacks, circumventing the attack detection process, and going straight to attack storage and response.
A significant note here is that the ModSecurity Core Rule Set project has spent a significant amount of time integrating with AppSensor. There are cross-references from the rules in the rule set to our detection points and there are some attack detection capabilities built into the core rule set. Also, the project is open-source as an OWASP project as well. This is definitely a project you should consider when evaluating external tools for AppSensor integration.
This is just another way to leverage your security investment and create a holistic approach to detection and response.
This is a standard part of application development, but it should be mentioned here that AppSensor does have the possibility of changing the functionality and/or performance of your application depending upon the way you implement it. For that reason, you should thoroughly test your application both before and after implementing AppSensor to ensure any impacts are acceptable.
By design, AppSensor detection points are meant to capture exceptional conditions, conditions that you believe may represent abnormal or malicious behaviour. By that definition, you should not be detecting events on every request for a normal user. (An exception to this general rule would be automated attacks of high-volume ... someone scans you with OWASP ZAP for instance)
Though AppSensor is not meant to cause a large performance impact, you should verify that through performance testing the application thoroughly, particularly with tests that exercise AppSensor alert generation, and ensure performance is acceptable.
Another specific issue to validate is the performance impact of polling for responses in a remote configuration. Every poll is a network request. The polling frequency is configurable and should be configured specifically for your environment.
One side note: by deploying AppSensor, you should be able to detect malicious users. One common side effect of attacking an application is denial-of-service for legitimate users. By detecting and containing/responding to the malicious activity, you might find the peformance increase in normal usage since attackers are no longer impacting the application. This caveat applies to a subset of attackers and a subset of attacks. However, large internet-facing applications often have to deal with this type of issues, so AppSensor can be beneficial in that specific regard.
AppSensor is a system that can be managed in various ways. You can perform real-time detection AND response (it's even recommended), which is great since you can set the policy and then not necessarily require a human in the loop to perform an action. However, you may have some actions that you want a human to perform, or you may have an out of band process you would like to do. Also, you may choose to simply report events as opposed to responding to them with some specific action.
No matter your particular setup, it is highly desirable to be able to view the state of your system. AppSensor produces data that is of interest to security, and should be monitored. Here are a few ideas for how to do that:
As you can see you have options when it comes to monitoring your data, the important thing is that you actually do monitor your system. The AppSensor concept involves gaining visibility into the security posture of your application at runtime, but that comes with it the responsibility to actually manage the application over time. Don't put in the effort to get AppSensor working and then ignore the data it produces.
As mentioned in the "Monitor" section above, part of the AppSensor concept is managing your application, and specifically AppSensor, over the long term. As time goes by, your application will change and attackers will change. As such your AppSensor configuration and detection points should change as well. Here are a few ideas for things you should be considering over time:
These are just some of the things you can do to optimize your AppSensor system. The list is by no means exhaustive. The key takeaway is that you should be monitoring your system over time and adjusting your configuration as your application changes and as you learn more about your attackers and what AppSensor can do to help you improve the security posture of your applications.
Congratulations ... If you've finished this guide, you've got AppSensor setup and your application configured to use it! At this point, you'll want to go have a look at the rest of our documentation to cover specific topics you might be interested in.
See more Documentation »


Use our API to quickly generate retro placeholder or default avatars for your new users.
Try out any username!


Home Page
Welocome to the mango computer Inc
Mango computer Inc welcomes the people who interested in technology and aiming to change the world through technology.
Let's join our hand together for bringing the change in this beautifull world through technology and make our planet grater and more secure and safe to our future genwration


I've been experimenting with psychadelics more over the last few months, and since LSD is not available in the area and my last LSD trip was just a bit too strong for my tastes, I thought I would try morning glory seeds. After reading up quite a bit, I purchased 10 packs of Heavenly Blue (5g per pack), and my roommate took a trial run with 5g while I played babysitter. It didn't have much of an effect on him, it was more a weak body trip than anything and he remained pretty normal through the entire day.
The next day we decided to try to get a real trip off of it, so we prepared the seeds in the same method as previously, that is, we ground them up in a coffeemaker and soaked the mush in water for about 1 hour, then consumed in liquid and sat back to wait for the effects, following is somewhat incoherent log of the events as I remember them. I would have kept a 'Trip Log' of the entire thing, but at first I didn't think it worked very well, and then when I realized it was working it was too strong to concentrate on anything complicated like typing. Anyway, here goes:
12:15p
Ingested approx 10g of morning glory seeds with juice. Please note, I was already feeling fairly nauseated before we even began this experience, my stomach had not settled well from the previous night. My roommate, hereafter referred to as Z, also took 10g.
12:25p
Sat down to play Dreamcast and wait effects. Feeling quite nauseated at this point.
12:45p
Very nauseated and anxious, I am constantly crossing my legs and in general experiencing mild to medium levels of anxiety. My roommate is neither nauseous nor feeling anxious, so he gets up to prepare some food in the kitchen.
1:15p
Took a swig of pepto to help ease my stomach but to no avail. At this point I'm feeling on the verge of extreme nausea, so I light up a small bowl of weed in the water bong. This helps a little bit and stimulates my apetite a little, but overall I'm still fairly nauseated. Roommate continues to go about his business like everything is normal.
1:30p
Scrambled up off the couch to go play some guitar, because this oasis song is just too freaking sweet to listen to without getting into it.
1:45p
Ate about half a plate of hamburger helper while watching television. The food was not enjoyable, my stomach is still very pissed, and i ended up throwing away most of it. (As did my roommate, who at this point is starting to get nauseous too)
2:05p
Trip is just starting up it seems now, music sounds really neat, body is really tingling, alive. I feel like I'm 'there', but I'm not sure how 'there' I am. Listening to astral projection and hallucinogen (goa trance techno) at this point and really starting to let my mind work.
2:35p
Still enjoying the music, effects are similar to a very mild acid trip but without almost any visuals. Stomach still screaming at me, however, and at this point I was just wishing the stomach pains would stop so I could enjoy the trip in peace.
4:00p
There is a very big gap in my memory between 2:30 and 4:00 but I distinctly remember listening to a lot of music and thinking. Trip is still not visual. We both decided to call it a learning experience at this point, but I decided I'd probably not touch these seeds again because the horrible nausea is not worth some mild body trips. Anyway, we go back to watching TV (South Park), and decide to smoke a few bowls to get hungry and finish the trip up properly. Stomach was still slightly uneasy but most of it was gone already.
4:20p
At this point we've smoked about 2-3 bowls between us and I'm feeling pretty good.  Something really strange just happened, I was taking a hit off the bong and when I finished and exhaled it felt like my entire lungs/throat/mouth was exhaling pure tar. Thats the only way to describe it. I panicked for a second, thinking I had inhaled some embers or something, or maybe got a gigantic hit, but when I looked up there was almost no smoke there. It was a very small hit, but for some reason beyond that point everything went completely bonkers.
I've smoked pot hundreds of times but this was beyond anything I've ever seen, it was like the entire world was moving in slow motion, time was stopping and starting by itself, occasionally I would lose track of time and realize it only when a different south park episode came on. My roommate was tripping so hard he couldn't concentrate even to rewind the VCR for 20 seconds. The room felt both huge and alive all at the same time.
I wasn't experiencing so much the visual side as the body side. My body was gone, and my mind was somewhere else, too. Every time I'd try to pull a coherent though from the rolling storm of reality, it would escape me and I'd go back to concentrating on why I couldn't concentrate.
7:30p
No idea whatsoever happened between 4:30 and 7:30, except that I ate an entire bag of chex mix and watched a lot of south park episodes.  I went back to my computer and put on some Led Zeppelin, which was very cool. I felt like I could see what Jimmy Page meant when he penned 'Immigrant Song' and 'When the Levee Breaks', but I can't remember what it was now, and even if I could, I think it was a feeling more than something I can put into words. Presently I fell asleep and slept extremely soundly, no dreams that i can remember, and woke up around 5 oclock with no hangover but some lingering trip aftereffects.
7:00a
I'm finishing up this report and listening to Helloween. Effects are still there but weak, like being slightly stoned. Morning Glory seeds are a definite repeat for me. I'm doing them again as soon as I think my body will handle it without reacting violently. Except, next time I'm gonna take 12-14g and grind them into a chocolate pudding so they are difficult to taste.
I am DEFINITELY going to smoke pot to enhance the trip again. It easily made the voyage worthwhile, but then, I'm not sure how much of the trip was the pot mixing with the trip, or the trip by itself. Who cares: It was mind blowing.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Time series: - return column named time (in UTC), as a unix time stamp or any sql native date data type. You can use the macros below. - any other columns returned will be the time point values. Optional: - return column named metric to represent the series name. - If multiple value columns are returned the metric column is used as prefix. - If no column named metric is found the column name of the value column is used as series name Resultsets of time series queries need to be sorted by time. Table: - return any set of columns Macros: - $__time(column) -> column AS time - $__timeEpoch(column) -> DATEDIFF(second, '1970-01-01', column) AS time - $__timeFilter(column) -> column BETWEEN '2017-04-21T05:01:17Z' AND '2017-04-21T05:01:17Z' - $__unixEpochFilter(column) -> column >=<PHONE_NUMBER> AND column <=<PHONE_NUMBER> - $__unixEpochNanoFilter(column) -> column >=<PHONE_NUMBER>152415214 AND column <=<PHONE_NUMBER>142514872 - $__timeGroup(column, '5m'[, fillvalue]) -> CAST(ROUND(DATEDIFF(second, '1970-01-01', column)/300.0, 0) as bigint)*300. by setting fillvalue grafana will fill in missing values according to the interval fillvalue can be either a literal value, NULL or previous; previous will fill in the previous seen value or NULL if none has been seen yet - $__timeGroupAlias(column, '5m'[, fillvalue]) -> CAST(ROUND(DATEDIFF(second, '1970-01-01', column)/300.0, 0) as bigint)*300 AS [time] - $__unixEpochGroup(column,'5m') -> FLOOR(column/300)*300 - $__unixEpochGroupAlias(column,'5m') -> FLOOR(column/300)*300 AS [time] Example of group by and order by with $__timeGroup: SELECT $__timeGroup(date_time_col, '1h') AS time, sum(value) as value FROM yourtable GROUP BY $__timeGroup(date_time_col, '1h') ORDER BY 1 Or build your own conditionals using these macros which just return the values: - $__timeFrom() -> '2017-04-21T05:01:17Z' - $__timeTo() -> '2017-04-21T05:01:17Z' - $__unixEpochFrom() -><PHONE_NUMBER> - $__unixEpochTo() -><PHONE_NUMBER> - $__unixEpochNanoFrom() -><PHONE_NUMBER>152415214 - $__unixEpochNanoTo() -><PHONE_NUMBER>142514872
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