The Server-Sent Events specification describes a built-in class EventSource
, that keeps connection with the server and allows to receive events from it.
Similar to WebSocket
, the connection is persistent.
But there are several important differences:
WebSocket |
EventSource |
|---|---|
| Bi-directional: both client and server can exchange messages | One-directional: only server sends data |
| Binary and text data | Only text |
| WebSocket protocol | Regular HTTP |
EventSource
is a less-powerful way of communicating with the server than WebSocket
.
Why should one ever use it?
The main reason: it’s simpler. In many applications, the power of WebSocket
is a little bit too much.
We need to receive a stream of data from server: maybe chat messages or market prices, or whatever. That’s what EventSource
is good at. Also it supports auto-reconnect, something we need to implement manually with WebSocket
. Besides, it’s a plain old HTTP, not a new protocol.
To start receiving messages, we just need to create new EventSource(url)
.
The browser will connect to url
and keep the connection open, waiting for events.
The server should respond with status 200 and the header Content-Type: text/event-stream
, then keep the connection and write messages into it in the special format, like this:
data: Message 1
data: Message 2
data: Message 3
data: of two lines
data:
, the space after the colon is optional.\n\n
.\n
, we can immediately send one more data:
(3rd message above).In practice, complex messages are usually sent JSON-encoded. Line-breaks are encoded as \n
within them, so multiline data:
messages are not necessary.
For instance:
…So we can assume that one data:
holds exactly one message.
For each such message, the message
event is generated:
let eventSource = new EventSource("/events/subscribe");
eventSource.onmessage = function(event) {
console.log("New message", event.data);
// will log 3 times for the data stream above
};
// or eventSource.addEventListener('message', ...)
EventSource
supports cross-origin requests, like fetch
and any other networking methods. We can use any URL:
The remote server will get the Origin
header and must respond with Access-Control-Allow-Origin
to proceed.
To pass credentials, we should set the additional option withCredentials
, like this:
Please see the chapter info:fetch-crossorigin for more details about cross-origin headers.
Upon creation, new EventSource
connects to the server, and if the connection is broken – reconnects.
That’s very convenient, as we don’t have to care about it.
There’s a small delay between reconnections, a few seconds by default.
The server can set the recommended delay using retry:
in response (in milliseconds):
The retry:
may come both together with some data, or as a standalone message.
The browser should wait that many milliseconds before reconnecting. Or longer, e.g. if the browser knows (from OS) that there’s no network connection at the moment, it may wait until the connection appears, and then retry.
eventSource.close()
:Also, there will be no reconnection if the response has an incorrect Content-Type
or its HTTP status differs from 301, 307, 200 and 204. In such cases the "error"
event will be emitted, and the browser won’t reconnect.
When a connection is finally closed, there's no way to "reopen" it. If we'd like to connect again, just create a new `EventSource`.
When a connection breaks due to network problems, either side can’t be sure which messages were received, and which weren’t.
To correctly resume the connection, each message should have an id
field, like this:
data: Message 1
id: 1
data: Message 2
id: 2
data: Message 3
data: of two lines
id: 3
When a message with id:
is received, the browser:
eventSource.lastEventId
to its value.Last-Event-ID
with that id
, so that the server may re-send following messages.smart header="Put `id:` after `data:`" Please note: the `id` is appended below message `data` by the server, to ensure that `lastEventId` is updated after the message is received.
The EventSource
object has readyState
property, that has one of three values:
js no-beautify EventSource.CONNECTING = 0; // connecting or reconnecting EventSource.OPEN = 1; // connected EventSource.CLOSED = 2; // connection closed
When an object is created, or the connection is down, it’s always EventSource.CONNECTING
(equals 0
).
We can query this property to know the state of EventSource
.
By default EventSource
object generates three events:
message
– a message received, available as event.data
.open
– the connection is open.error
– the connection could not be established, e.g. the server returned HTTP 500 status.The server may specify another type of event with event: ...
at the event start.
For example:
event: join
data: Bob
data: Hello
event: leave
data: Bob
To handle custom events, we must use addEventListener
, not onmessage
:
eventSource.addEventListener('join', event => {
alert(`Joined ${event.data}`);
});
eventSource.addEventListener('message', event => {
alert(`Said: ${event.data}`);
});
eventSource.addEventListener('leave', event => {
alert(`Left ${event.data}`);
});
Here’s the server that sends messages with 1
, 2
, 3
, then bye
and breaks the connection.
Then the browser automatically reconnects.
[codetabs src=“eventsource”]
EventSource
object automatically establishes a persistent connection and allows the server to send messages over it.
It offers: - Automatic reconnect, with tunable retry
timeout. - Message ids to resume events, the last received identifier is sent in Last-Event-ID
header upon reconnection. - The current state is in the readyState
property.
That makes EventSource
a viable alternative to WebSocket
, as the latter is more low-level and lacks such built-in features (though they can be implemented).
In many real-life applications, the power of EventSource
is just enough.
Supported in all modern browsers (not IE).
The syntax is:
The second argument has only one possible option: { withCredentials: true }
, it allows sending cross-origin credentials.
Overall cross-origin security is same as for fetch
and other network methods.
EventSource
objectreadyState
EventSource.CONNECTING (=0)
, EventSource.OPEN (=1)
or EventSource.CLOSED (=2)
.
lastEventId
id
. Upon reconnection the browser sends it in the header Last-Event-ID
.
close()
message
event.data
.
open
error
readyState
to see if the reconnection is being attempted.
The server may set a custom event name in event:
. Such events should be handled using addEventListener
, not on<event>
.
The server sends messages, delimited by \n\n
.
A message may have following fields:
data:
– message body, a sequence of multiple data
is interpreted as a single message, with \n
between the parts.id:
– renews lastEventId
, sent in Last-Event-ID
on reconnect.retry:
– recommends a retry delay for reconnections in ms. There’s no way to set it from JavaScript.event:
– event name, must precede data:
.A message may include one or more fields in any order, but id:
usually goes the last.


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 1. Getting Started | Next |
Once you have created a database, you can access it by:
Running the PostgreSQL interactive terminal program, called psql, which allows you to interactively enter, edit, and execute SQL commands.
Using an existing graphical frontend tool like pgAdmin or an office suite with ODBC or JDBC support to create and manipulate a database. These possibilities are not covered in this tutorial.
Writing a custom application, using one of the several available language bindings. These possibilities are discussed further in Part IV.
You probably want to start up psql to try the examples in this tutorial. It can be activated for the mydb database by typing the command:
$ psql mydb
If you do not supply the database name then it will default to your user account name. You already discovered this scheme in the previous section using createdb.
In psql, you will be greeted with the following message:
psql (9.0.10) Type "help" for help. mydb=>
The last line could also be:
mydb=#
That would mean you are a database superuser, which is most likely the case if you installed PostgreSQL yourself. Being a superuser means that you are not subject to access controls. For the purposes of this tutorial that is not important.
If you encounter problems starting psql then go back to the previous section. The diagnostics of createdb and psql are similar, and if the former worked the latter should work as well.
The last line printed out by psql is the prompt, and it indicates that psql is listening to you and that you can type SQL queries into a work space maintained by psql. Try out these commands:
mydb=> SELECT version(); version ----------------------------------------------------------------------- PostgreSQL 9.0.10 on i586-pc-linux-gnu, compiled by GCC 2.96, 32-bit (1 row) mydb=> SELECT current_date; date ------------ 2002-08-31 (1 row) mydb=> SELECT 2 + 2; ?column? ---------- 4 (1 row)
The psql program has a number of internal commands that are not SQL commands. They begin with the backslash character, "\". For example, you can get help on the syntax of various PostgreSQL SQL commands by typing:
mydb=> \h
To get out of psql, type:
mydb=> \q
and psql will quit and return you to your command shell. (For more internal commands, type \? at the psql prompt.) The full capabilities of psql are documented in psql. If PostgreSQL is installed correctly you can also type man psql at the operating system shell prompt to see the documentation. In this tutorial we will not use these features explicitly, but you can use them yourself when it is helpful.


This module provides a class-level method for specifying that certain actions are guarded against being called without certain prerequisites being met. This is essentially a special kind of before_filter.
An action may be guarded against being invoked without certain request parameters being set, or without certain session values existing.
When a verification is violated, values may be inserted into the flash, and a specified redirection is triggered.
Usage:
class GlobalController < ActionController::Base # prevent the #update_settings action from being invoked unless # the 'admin_privileges' request parameter exists. verify :params => "admin_privileges", :only => :update_post, :redirect_to => { :action => "settings" } # disallow a post from being updated if there was no information # submitted with the post, and if there is no active post in the # session, and if there is no "note" key in the flash. verify :params => "post", :session => "post", "flash" => "note", :only => :update_post, :add_flash => { "alert" => "Failed to create your message" }, :redirect_to => :category_url
Methods
Public Instance methods
Verify the given actions so that if certain prerequisites are not met, the user is redirected to a different action. The options parameter is a hash consisting of the following key/value pairs:
- :params: a single key or an array of keys that must be in the params hash in order for the action(s) to be safely called.
- :session: a single key or an array of keys that must be in the @session in order for the action(s) to be safely called.
- :flash: a single key or an array of keys that must be in the flash in order for the action(s) to be safely called.
- :method: a single key or an array of keys—any one of which must match the current request method in order for the action(s) to be safely called. (The key should be a symbol: :get or :post, for example.)
- :xhr: true/false option to ensure that the request is coming from an Ajax call or not.
- :add_flash: a hash of name/value pairs that should be merged into the session’s flash if the prerequisites cannot be satisfied.
- :redirect_to: the redirection parameters to be used when redirecting if the prerequisites cannot be satisfied.
- :render: the render parameters to be used when the prerequisites cannot be satisfied.
- :only: only apply this verification to the actions specified in the associated array (may also be a single value).
- :except: do not apply this verification to the actions specified in the associated array (may also be a single value).
[ show source ]
# File vendor/rails/actionpack/lib/action_controller/verification.rb, line 62 62: def verify(options={}) 63: filter_opts = { :only => options[:only], :except => options[:except] } 64: before_filter(filter_opts) do |c| 65: c.send :verify_action, options 66: end 67: end


--- title: img_checker keywords: fastai sidebar: home_sidebar summary: "The purpose of the package is to list down the images which are not being used in any of the notebooks. So that we can remove it manually afterwards." description: "The purpose of the package is to list down the images which are not being used in any of the notebooks. So that we can remove it manually afterwards." nb_path: "index.ipynb" ---
This file will become your README and also the index of your documentation.
pip install img_checker
Fill me in please! Don't forget code examples:
import json, re, os
from pathlib import Path
notebook_json('notebook/first.ipynb')
notebook_json('notebook/')


W3C and HTML and CSS
Oh my!The World Wide Web Consortium (W3C) develops protocols and guidelines that ensure long-term growth for the Web. W3C's standards define key parts of what makes the World Wide Web work.
Hypertext Markup Language (HTML) is the standard markup language for creating Web pages.
Cascading Style Sheets (CSS) describe how HTML elements are to be displayed on screen, paper, or in other media.
Why do we use them?
W3C standards define an Open Web Platform for application development to enable developers to build rich interactive experiences available on any device. Among the many standards developed are HTML and CSS.
HTML describes the structure of a Web page through a series of elements which tell the browser how to display the content.
CSS saves a lot of work. It can control the layout of multiple web pages all at once.
HTML Examples
| HTML Tag | Displays as |
|---|---|
| <h1> | Heading level 1 |
| <h3> | Heading level 3 |
| <p> | Paragraph |
| <a href="URL"> | Anchor, with a link to URL |


Exercise 1
In this exercise, we will perform some simple queries to retrieve
molecular networks based on a protein, a small-molecule compound,
a disease, and a topic in PubMed.
1.1 Protein queries
Go to the menu File → Import → Network from Public
Databases.... In the import dialog, choose STRING:
protein query as Data Source and
type your favorite protein into the Enter protein names
or identifiers field (e.g. SORCS2). You can select the
appropriate organism by typing the name (e.g. Homo sapiens). The
Maximum number of interactors determines how
many interaction partners of your protein(s) of interest will be
added to the network. By default, if you enter only one protein
name, the resulting network will contain 10 additional interactors.
If you enter more than one protein name, the network will contain
only the interactions among these proteins, unless you explicitly
ask for additional proteins.
Unless the name(s) you entered give unambiguous matches, a
disambiguation dialog will be shown next. It lists all the matches
that the stringApp finds for each query term and selects the first
one for each. Select the right one(s) you meant and continue by
pressing the Import button.
How many nodes are in the resulting network? How does this
compare to the maximum number of interactors you specified? What
types of information does the Node Table
provide?
1.2 Compound queries
Go to the menu File → Import → Network from Public
Databases.... In the import dialog, choose STITCH:
protein/compound query as Data Source
and type your favorite compound into the Enter protein
or compound names or identifiers field (e.g. imatinib).
You can select the organism and number of additional interactors
just like for the protein query above, and the disambiguation dialog
also works the same way.
How is this network different from the protein-only network
with respect to node types and the information provided in the
Node Table?
1.3 Disease queries
Go to the menu File → Import → Network from Public
Databases.... In the import dialog, choose STRING:
disease query as Data Source and
type a disease of interest into the Enter disease
term field (e.g. Alzheimer’s disease). The stringApp
will retrieve a STRING network for the top-N proteins (by default
100) associated with the disease.
The next dialog shows all the matches that the stringApp finds
for your disease query and selects the first one. Make sure to
select the intended disease before pressing the
Import button to continue.
Which additional attribute column do you get in the Node Table for a disease query compared to a protein query? (Hint: check the last column.)
1.4 PubMed queries
Go to the menu File → Import → Network from Public
Databases.... In the import dialog, choose STRING:
PubMed query as Data Source and
type query representing a topic of interest into the PubMed
Query field (e.g. jet-lag). You can use any query that
would work on the PubMed website, but it should obviously a topic
with related genes or proteins. The stringApp will query PubMed for
the abstracts, find the top-N proteins (by default 100) associated
with these abstracts, and retrieve a STRING network for them.
Which attribute column do you get in the Node Table for a PubMed query compared to a disease query? (Hint: check the last columns.)
1.5 New search interface
The types of queries described above can alternatively be performed
through the new Cytoscape Network Search interface at the top of the Network tab of the Control Panel. Click on the drop-down
menu with an icon on it. Select one of the four possible STRING queries
and directly enter your query in the text field. To change settings
such as organism, click the ☰ button next to the text field. Finally,
click the 🔍 button to retrieve a STRING network for your query.
Exercise 2
In this exercise, we will work with a list of 78 proteins that
interact with TrkA (tropomyosin-related kinase A) in neuroblastoma
cells 10 min after stimulation with NGF (nerve growth factor) (Emdal et al.,
2015). An adapted table with the data from this study is available
here.
2.1 Protein network retrieval
Start Cytoscape or open a new session from the menu File
→ Close. Go to the menu File → Import
→ Network from Public Databases.... In the import dialog,
choose STRING: protein query as the
Data Source and paste the list of UniProt
accession numbers from the first column in the table into the
Enter protein names or identifiers field.
Next, the disambiguation dialog shows all STRING proteins that
match the query terms, with the first protein for each query term
automatically selected. This default is fine for this exercise;
click the Import button to continue.
How many nodes and edges are there in the resulting network? Do the proteins all form a connected network? Why?
Cytoscape provides several visualization options under the
Layout menu. Experiment with these and find
one that allows you to see the shape of the network easily. For
example, you can try the Degree Sorted Circle
Layout, the Prefuse Force Directed
Layout with score as edge weight,
and yFiles Organic Layout.
Can you find a layout that allows you to easily recognize patterns in the network? What about the Edge-weighted Spring Embedded Layout with the attribute ‘score’, which is the combined STRING interaction score.
2.2.1 Discrete color mapping
Cytoscape allows you to map attributes of the nodes and edges
to visual properties such as node color and edge width. Here, we
will map drug target family data from the Pharos database to
the node color.
Select the Style tab from the
Control Panel. Click the ◀
button to the right of the property you want to change, in this
case Fill Color, and set
Column to the node column containing the
data that you want to use (i.e. target family).
This action will remove the rainbow coloring of the nodes and present
you with a list of all the different values of the attribute that
are exist in the network.
Which target families are present in the network?
2.2.2 Discrete color mapping
To color the corresponding proteins, first click the field to
the right of an attribute value, i.e. GPCR
or Kinase, then click the ⋯
button and choose a color from color selection dialog. You can also
set a default color, e.g. for all nodes that do not have a target
family annotation from Pharos, by clicking on the white button in
the first column of the same row.
How many of the proteins in the network are kinases?
Note that the retrieved network contains a lot of additional
information associated with the nodes and edges, such as the protein
sequence, tissue expression data (Node Table) as well as the
confidence scores for the different interaction evidences (Edge
Table). In the following, we will explore these data using
Cytoscape.
2.3.1 Data import
Network nodes and edges can have additional information associated
with them that we can load into Cytoscape and use for visualization.
We will import the data from an ExCEL spreadsheet derived from data
provided in the paper mentioned above.
Begin by downloading the
data file.
2.3.2 Data import
To import the node attributes file into Cytoscape, go to
File → Import → Table from File..., then
select the file you downloaded in the previous step. The preview
in the import dialog will show how the file is interpreted given
the current settings and will update automatically when you change
them. To change the default selection chosen by Cytoscape, click
on the arrow in the column heading. For example, you can decide
whether the column is imported or not by changing the
Meaning of the column (hover over each symbol
with the mouse to see what they mean). This column-specific dialog
will also allow you to change the column name and type.
Now you need to map unique identifiers between the entries in
the data and the nodes in the network. The key point of this is to
identify which nodes in the network are equivalent to which entries
in the table. This enables mapping of data values into visual
properties like Fill Color and Shape. This kind of mapping is
typically done by comparing the unique Identifier attribute value
for each node (Key Column for Network) with the unique Identifier
value for each data value (key symbol). As a default, Cytoscape
looks for an attribute value of ‘ID’ in the network and a user-supplied
Key in the dataset.
2.3.3 Data import
The Key Column for Network can be changed
using a combo box and allows you to set the node attribute column
that is to be used as key to map to. In this case it is query
term because this attribute contains the UniProt accession
numbers you entered when retrieving the network. You can also change
the Key by pressing the key button for the column that is to be
used as key for mapping values in the dataset.
If there is a match between the value of a Key in the dataset
and the value the Key Column for Network field in the network, all
attribute–value pairs associated with the element in the dataset
are assigned to the matching node in the network. You will find the
imported columns at the end of the Node Table.
2.4.1 Continuous color mapping
Now, we want to color the nodes according to the protein abundance
(log ratio) compared to the cells before NGF treatment. From the
left panel top menu, select Style (it is to
the right of Network). Then click on the
◀ button to the right of the property you
want to change, for example Fill Color. Next,
set Column to the node column containing the
data that you want to use (10 min log ratio). Since this is a numeric
value, we will use the Continuous Mapping
as the Mapping Type, and set a color gradient
for how abundant each protein is. The default Cytoscape color
gradient blue-white-red already gives a nice visualization of the
negative-to-positive abundance ratio.
Are the up-regulated nodes grouped together?
2.4.2 Continuous color mapping
To change the colors, double click on the color gradient in order
to bring up the Continuous Mapping Editor
window and edit the colors for the continuous mapping. In the mapping
editor dialog, the color that will be used for the minimum value
is on the left, and the max is on the right. Double click on the
triangles on the top and sides of the gradient to change the colors.
The triangles on the top represent the values at which the data
will be clipped; anything above the right triangle will be set to
the max value. This is useful if you have a small number of values
that are significantly higher than the median. To have three colors,
you need to add a new triangle (for the white color) by pressing
the Add button and set the Handle position value to 0. As you move
the triangles and change the color, the display in the network pane
will automatically update — so this is all easier to do than to
explain! If at any point it doesn’t seem to work as expected, it
is easiest to just delete the mapping and start again.
Can you improve the color mapping such that it is easier to see which nodes have a log ratio below -2 and above 2?
2.5.1 Functional enrichment
Next, we will retrieve functional enrichment for the proteins
in our network. After making sure that no nodes are selected in the
network, go to the menu Apps → STRING Enrichment →
Retrieve functional enrichment and keep the default
p-value of 0.05. A new STRING Enrichment tab will appear in the
Table Panel on the bottom. It contains a table of enriched terms
and corresponding information for each enrichment category.
Which are the three most statistically significant terms?
2.5.2 Functional enrichment
To explore only specific types of terms, e.g. GO terms, and to
remove redundant terms from the table, click on the filter icon in
the Table panel (leftmost icon). Select the
three types of GO terms, enable the option to Remove
redundant terms and set Redundancy
cutoff to 0.2. In this way, you will see only the
statistically significant GO terms that do not represent largely
the same set of proteins within the network. You can see which
proteins are annotated with a given term by selecting the term in
the STRING Enrichment panel.
Do the functional terms assigned to a protein correlate with whether it is up- or down-regulated?
2.5.3 Functional enrichment
Next, we will visualize the top-3 enriched terms in the network
by using split charts. Click the settings icon (rightmost icon) and
set the Number of terms to chart to 3; you
can optionally also Change Color Palette
before clicking OK to confirm the new settings.
Click the colorful chart icon to show the terms as the charts on
the network.
Do these terms give good coverage of the proteins in network?
Finally, save the list of enriched terms and associated p-values
as a text file by going to File → Export → STRING
Enrichment.
Exercise 3
We are going to use the stringApp to query the DISEASES database for
proteins associated with Parkinson’s disease and with Alzheimer’s
disease, retrieve STRING networks for both, created a combined
network for the two neurodegenerative diseases, identify clusters
in the network, and color it to compare the diseases.
3.1 Disease network retrieval
Open a new session in Cytoscape from the menu File → Close.
Use the menu File → Import →
Network from Public Databases... and the STRING:
disease query option. Retrieve a network for
Parkinson’s disease and another for
Alzheimer’s disease.
3.2. Working with node attributes
Browse through the node attributes table and find the disease
score column. Sort it descending by values to see the highest disease
scores. You can highlight the corresponding nodes by selecting the
rows in the table, bringing up the context menu (right-click the
selected rows) and choosing the Select nodes from selected rows
option. You can also use one of the icons in the menu to zoom into
the selected node.
Look for an example for a node with a disease score of 5 and one with a disease score below 4.
Rename the disease score columns in the
two networks to PD score and AD
score, respectively, by right-clicking the name and
choosing the Rename column option.
3.3.1 Merging networks
Cytoscape provides functionality to merge two or more networks,
building either their union, intersection or difference. To merge
the two disease networks go to the menu Tools → Merge →
Networks. Select the two disease networks in the
Available Networks list and move them to the
Networks to Merge list by clicking the
> button. Make sure the
Union button is selected and click the
Merge button.
How many nodes and edges are there in the merged network compared to the two individual disease networks?
3.3.2 Merging networks
Because the merged network was not created by the stringApp, but
rather by Cytoscape’s merge tool based on two separately retrieved
STRING networks, we now have two problems. First, Cytoscape does
not know the merged network is a STRING network, and most menu
points in the stringApp menu are thus grayed out; fix this by going
to the menu Apps → STRING → Set as STRING network.
Second, because the two disease networks were retrieved separately,
the merged network does not contain any interactions between proteins
involved only in Parkinson’s disease and proteins involved only in
Alzheimer’s disease, even if the proteins interact according to
STRING. To solve this, first go to the menu Apps → STRING
→ Change confidence menu, set the New
confidence cutoff to 1, and press OK;
this will remove all STRING interactions, leaving only the proteins.
Then bring up the same dialog and lower the confidence cutoff back
down to 0.4; the stringApp will now query the server again to
retrieve interactions among all the proteins.
How many nodes and edges does the network contain compared to before?
3.4 Network clustering
Next, we will use the MCL algorithm to find identify clusters
of tightly connected proteins within the combined network. Go to
the menu Apps → clusterMaker → MCL Cluster.
Set the Granularity parameter (inflation value)
to 4 and choose the score attribute (i.e.
the overall STRING confidence score) as Array
Sources, select the option Create new clustered
network, and click OK to start
the clustering. The app will now run the algorithm and automatically
create a network showing the clusters.
How many clusters have at least 4 nodes?
3.5 Selection filters and visual style bypass
Finally, we want to color the nodes based on which disease(s)
the proteins are involved in. To do so we will make use of selection
filters to select nodes based on their attributes and the visual
style bypass to explicitly specify the colors of individual nodes.
First, to select all proteins associated with Alzheimer’s disease,
go to the Select tab, click the
+ button, and choose Column
Filter. Select Node: AD score
in the drop-down menu and the 100 nodes associated with Alzheimer’s
disease will be highlighted yellow in the network. Next, go to the
Style tab and click the square just left of
Fill color to set a bypass color for the
selected nodes (e.g. red). Repeat this process for the node attribute
column Node: PD score and choose different
color (e.g. blue).
To select the nodes that are shared between the diseases, go to
the Select tab and create two column filters,
one for Node: AD score and one for
Node: PD score. Since the filters by default
are combined using the Match all (AND) rule,
only the nodes that have both scores will be selected. Go to the
Style tab to set a third bypass color for
this last group.
How are the two diseases distributed across the clusters?


Encrypted Bookmarks will generate a public and private key to, respectively, encrypt and decrypt your bookmarks. This password will encrypt your private key.
Please note:
• Recovery is impossible if you forget this password.
• This password cannot be changed.
• Make this password long to protect yourself against brute-force attacks.


Welcome to the National Society of Black Engineers Potomac River Professional Chapter in Dahlgren, VA. On behalf of our organization, we thank you for visiting our website and your willingness to learn more about NSBE.
NSBE Potomac River Professional Chapter primary goal is to increase and excel minority engineers in the Science, Technology, Engineering, and Mathematics (STEM) fields. Even though this goal is our priority, supporting the community and academics in the local school districts are just as important. Our overarching mission statement and focus are listed below:
(1) Enhance the technical, professional, and personal quality of Black entrepreneurial science/engineering professionals, co-ops, and interns involved in the surrounding area;
(2) Increase the number of Black students successfully pursuing engineering degrees at both the graduate and undergraduate level;
(3) Encourage Dahlgren, King George, Fredericksburg, Northern Neck of Virginia, and Southern Maryland (St. Mary’s County, Calvert County, and Charles County) areas’ black youth to pursue careers in science, technology, engineering, and mathematics (STEM);
(4) Advance minority engineers in professional industry; and
(5) Apply our technical expertise for the betterment of the Dahlgren, King George, Fredericksburg, Northern Neck of Virginia, Southern Maryland (St. Mary’s County, Calvert County, and Charles County) areas and the nation.
We are a fast growing and dynamic professional organization and we need your support!
Get involved and Join the Potomac River Professional Chapter TODAY!
Thanks again for visiting our website and make sure to check back for upcoming events.
The membership focus of NSBE Potomac River Professionals Chapter is to support professionals in the Dahlgren, King George, Caroline, Stafford, Spotsylvania, Fredericksburg, Northern Neck of Virginia, or Southern Maryland (St. Mary’s County, Calvert County, and Charles County) areas.


Contains authentication handlers for use in the user authentication system.
Every authentication handler must implement AuthenticationInterface.


| 145 | (A) | Bathillmewe that his bown breke wolde neuer |
| 140 | (C) | Bartholomew þat is boone . neuur breke wolde |
| 141 | (D) | Bartholomew þat his bone neuere breke nolde |
| 139 | (E) | barthemew þat his bode . neuer breke wulde |
| (Ex) | ---- no text ---- | |
| 144 | (L) | bertholomewe þat his bone neuer breke nolde |
| 138 | (P) | Bartilmew þat es boune breke wolde he neuer |
| 140 | (U) | Bartholmewe that his heste / neuer breke wolde |
| (V) | ---- no text ---- |


Directx 10 Download 2021 Latest For Windows 10 8 7
Directx 10 Download Windows 7 Fasrfriendly
Directx 10 Xp Microsoft Download Windows 7 32 Bit Lasopaflip
Directx 10 Download Free For Windows 7 8 10
Download Directx 10 For Windows Xp From Alky Project
Directx 10 Download For Pc Free
Directx Download Update Install Windows 10
Easily Download And Install Directx 10 For Windows Xp Raymond Cc
Sincmisi Directx 10 Windows 7 32bit Download
Directx 10 For Pc Windows Download
How To Download And Install Directx 12 11 10 9
Easily Download And Install Directx 10 For Windows Xp Raymond Cc
Download Directx 9 10 11 11 2 12 Offline Installer Full Setup For Windows 7 8 10
Directx 10 Download Free For Windows 7 8 10 Full Version 32 64 Bit
Fix All Directx Error How To Download Install All Directx Official Youtube
Directx 11 Download 2021 Latest For Windows 10 8 7
Directx 10 Xp Microsoft Download Windows 7 32 Bit Lasopaflip
Directx 10 Download For Pc Free
Nvidia Directx 11 Download Windows 7 64 Bit Keysterm
Directx 9c 11 2 12 Latest Offline Installer Setup For Windows 7 8 10 Get Pc Apps
Fast Download Directx 11 Direct3d 11 For Windows 7 Vista
Getpczone Directx 11 Download 32 Bit 64 Bit
Directx 11 Free Download Latest 2020 For Windows 10 7 8 Filehippo
How To Download And Install Directx 12 11 10 9
Skip To Content Directx Control Panel And D3d Debug Output In D3d 9 X 10 X 11 X For Windows 7 8 And 8 1 Octubre 04 2013 Inaki Ayucar Debugging D3d Applications Can Be A Pain But It S Completely Necessary Sometimes If You Want To Know What S Going
Directx 12 Free Download For Windows Pc Dx12 32bit 64bit Softsfreak Com
Download Directx All Versions 9 10 11 12
Free Download Directx 12 For Windows 7 10 8 8 1
Directx 10 Download Free For Windows 7 10 8 8 1 32 64 Bit
Directx 7 0 Free Download For Windows 7 32 Bit Iso File Troels Krarup


According to a report by IHS Markit, "The number of connected IoT [Internet of Things] devices worldwide will jump 12% on average annually, from nearly 27 billion in 2017 to 125 billion in 2030" and "Global data transmissions are expected to increase from 20-25% annually to 50% per year, on average, in the next 15 years."
LPWAN has become one of the fastest growing spaces in the Internet of Things (IoT) ecosystem since the term emerged on the scene in 2013 and is helping drive this technological shift.
And the reason LPWAN is considered a driver of this technological shift ... LPWAN is the perfect solution for devices that need to send data over long ranges (upwards of 20km) without the constraints of battery life, a shortfall of WiFi, Bluetooth and 3G & 4G networks.
Now, this is really where LPWAN technology is coming to the forefront in the new world of mass data technology transmissions. As the overall development of Smart Cities continues to thrive, the need for a data network which allows constant data streams, covering significant distances, whilst using significantly less energy than other data network platforms is now, more than ever, becoming a key pre-requisite to the future of Smart Cities and their success. This is where LPWAN is thriving and becoming the technology of choice, especially for the Smart Cities of the future.
What are the benefits of LPWAN?
LPWAN technology emerged to the forefront in recent years with the goal of finding a better data transmission solution than WiFi, Bluetooth and 3G & 4G networks. These earlier established networks were originally targeted at connecting people, not at connecting the data generated by "things." The amount of machine-generated data has multiplied significantly in recent times. The new LPWAN technology offers aspects where others simply can’t compete:
- 10 year sensor battery life
- 20 km data reach with just a single Gateway
- Offers an extreme amount of connection points (over 60,000 for a single network cell) supported by LPWAN Gateways at an extremely low cost
Because LPWAN uses less power, energy costs will also be less for consumers. The advantage for users is you can create your own decentralized network wherever and whenever you like. The technology provides a cost-effective solution to transferring data over Wi-Fi, Bluetooth and 3G, 4G or 5G networks.
This cost effectiveness is certainly a powerful factor, leading many to choose LPWAN over other data network technologies. Imagine sending thousands of data uplinks over 40 sq/km using no more than 5 Watts per day. That’s the energy saving that LPWAN provides, and the power is significantly less than the cost of a household lightbulb (at around 40+ Watts).
LPWAN is thriving across a wide variety of industries. For example, factories are choosing LPWAN due to the fact it doesn’t disrupt network connectivity like Wi-Fi does. An LPWAN network allows industries such as the automobile and aero industries to integrate LPWAN technology seamlessly without having to worry about the network interfering with sensitive tools. Smart City industries are also opting for LPWAN due to its long reach, low power and low-cost effectiveness. All in all, LPWAN is proving to be a big win for individuals and industries across a wide spectrum.
What are some LPWAN Technology Examples?
(chart source: SoftBank to Roll Out ‘LoRaWAN™’ Low Power Wide Area Network)
The aeronautical builder, Airbus, has been looking into LPWAN to use within their manufacturing plants, in order to avoid data network collision within their sensitive tools. MXC, an LPWAN Blockchain leader was recently in talks with Airbus in order to facilitate their complete manufacturing facility with the LPWAN data network.
Smart Cities such as Shanghai, China, have chosen LPWAN in order to connect 100’s of thousands of Smart City sensors, measuring everything from Air Quality, Human Movement and Rising Water Levels. All of which are now being performed, using LPWAN in a much more efficient data tracking manner than before
Smart Farming is a hot topic. LPWAN’s low cost and low emissions ensure a healthy and cost-effective farm can be run optimally using this data network. For example, many farms in Germany have been using LPWAN in conjunction with MatchX (A large German LPWAN Hardware manufacturer) to track their cows throughout the country side. The cows wear sensors and the LPWAN Gateways track the cows seamlessly throughout their travels
These industries are just the tip of the iceberg for LPWAN and the effect they are already having on industries from Aeroplanes, Cities and cows alike. This is also pushing the development of LPWAN into new areas, including Blockchain. The future of LPWAN is bright and the strong use cases are ensuring a continued development in this exciting data technology.
What are the latest LPWAN Devices?
The development of LPWAN over the last 5 years has been nothing more than astounding. The demand for LPWAN is moving fast and the development is bustling along to keep up. Some significant mentions:
The MatchX LPWAN Gateway is a feature rich LoRaWAN gateway with models certified around the globe. With Listen-Before-Talk technology (available in Europe, Japan and South Korea), MatchX Gateways are built to avoid data-collision, ensuring the reliable transmission of your data.
The maintenance-free and multi-functional duct air quality sensor measures CO2, mixed gas (VOC), temperature and humidity (relative, absolute, enthalpy, dew point).
The Hibou Indoor Air Quality Monitor is a smart environmental sensor system that can be installed in your home, home garden or office environment. The air quality monitor can monitor and collect the real time data of CO2 concentration, indoor air quality (VOC detector), Humidity, Temperature, Atmospheric pressure & Ambient. The Hibou Indoor Air Quality Monitor collects the real-time data via its sensors and sends to Hibou Cloud Sensor Analytics platform via LPWAN network (LoRa).
The M2 Pro is the first Blockchain enabled LPWAN Gateway. It is also the first time that a company has monetized LPWAN as a technology, allowing anyone who sets up an LPWAN data network to profit from it. This fascinating technology is a key driver in LPWAN adaptation around the globe.
New LPWAN products are always arriving in the market. These products are the drivers for continued adoption and interaction with LPWAN technology. As a result of these products, we believe that, in future, there will be less people asking “What is LPWAN?” And more asking, “What is the latest in LPWAN technology?” LPWAN is an exciting development in data transfers and the future is certainly looking very bright.


The beginning step is the easiest, pick two products you like! This goes for cheese, beer, charcuterie, and wine. Identify what you like first and what is one product that is essential to you and then we can go from there.
All right - here's where things can get a bit more tricky. If you decided you wanted some dry salami such as Sopressata or Finocchiona our suggestion is to pick a creamy cheese with that. Often times some spreadable goat cheese will go great with this! If you want to take it up a notch pick a sweeter one such as a blueberry or fig goat cheese.
Next we should decide something to contrast with the previous pairing. Now that we have a dry salami, we recommend doing something with a higher moisture contet. Try out some cubed mortadella or cooked capicolla for a nice change up. If you want to do another salami however, something spicy or smokey would be great choices!
Finally we recommend having some Prosciutto or Speck. Speck is a smoked prosciutto and both of these items are sure to "wow!" your guests. These meats go particularly well with hard Italian style cheeses. Sartori cheeses like the Belavitano line are delicious matches! You could also change it up and wrap the charcuterie around melon or pineapple for a delectable sweet and savory treat!


Cherry
a cca student...
In-Class Exercises
Mickey EX 1
Q&A EX 2
Weekly Exercises
HTML Interview
CSSI Interview
CSSII Interview
ASCII Town Exterior
ASCII Town Interior
Mickey
National Flag
Custom Flag
Question-Answer
Mutiples
Sensory Experience
Projects
P1
P2


Peugeot Rifter GT Line BlueHDi 100 review – MPV is a family friend
The Peugeot Rifter, winner of the MPV category at the 2019 Scottish Car of the Year awards, is even able to win over fussy teenagers, such is its appeal. Here, you can find out all about the spec, performance and price of the GT Line BlueHDi 100 model.
by Mike TorpeyCARS can be informative in many ways – like how impressionable your kids will turn out to be.
Will they favour style over substance, be practical or frivolous, easily led or fiercely independent? Maybe they will require dropping off right next to the school gate or round the corner out of sight.
There have been plenty of vehicles for which the latter would certainly be the case. But French manufacturer Peugeot has broken the mould with its latest offering in the MPV sphere, the Rifter.
So it has justifiably been named winner in its category by the Association of Scottish Motoring Writers at the 2019 Scottish Car of the Year (SCOTY) Awards.
The French brand has turned away from traditional design – even if the Rifter’s shape is still on the boxy side – to produce a family offering that’s both dynamic and extremely versatile. It builds on its Partner Tepee predecessor’s most successful elements and adds a more premium driving experience.
What buyers are getting is a leisure activity vehicle with the choice of five or seven seats, a vast amount of passenger and stowage space, along with increased ground clearance, a high driving position, a tight turning circle and some tasty technology.
That includes a raft of safety and infotainment gear including adaptive cruise control, active lane departure warning system, blind spot monitoring and the optional Visiopark 180-degree colour reversing camera.
The Rifter is adaptable, too, with smart features like two sliding side doors, an opening tailgate window, three folding rear seats and a Zenith panoramic roof with numerous storage spaces.
The Peugeot Rifter GT Line View gallery
And, depending on which version you pick, the boot has a loading capacity of 775 litres under shelf up to 4000 litres under ceiling storage and a refrigerated space capable of storing up to 186 litres, so it’s ideal for families.
Where the Rifter really scores, though, compared to its immediate rivals, is that it’s the only one able to truly venture off the beaten track.
It doesn’t just look rugged with its all-round side mouldings and wheel arch protectors but also brings the option of the brand’s Advanced Grip Control with its mud and snow tyres and Hill Assist Descent Control, which maintains the optimum speed on steep slopes.
The driving experience is also comfortable and effective, helped by a choice of Peugeot’s PureTech petrol and BlueHDi diesel engines. The BlueHDi 100 unit with a five-speed manual gearbox in our tested five-seat standard length Rifter in high-end GT Line trim was both strong and efficient.
It returned an impressive 56mpg over 200 miles of mixed motoring. That’s better than the official average of 42 to 50.6mpg, with CO2 emissions of 105 to 120g/km.
The kit is equally generous – starting with an eight-inch touchscreen infotainment system that includes DAB radio, smartphone mirroring, with Bluetooth and USB connectivity, voice recognition and 3D sat nav, as well as access to various car systems.
Other useful kit includes keyless entry and start, cruise control and speed limiter, rear parking sensors, electric windows and electric, heated, folding door mirrors, dual-zone air con, rain-sensing wipers and auto lights with fog light cornering function.
Lane departure warning with lane keeping assistance, automatic emergency braking with a collision threat alert, blind spot monitoring and Peugeot Connect SOS and Assistance to contact the emergency services should the worst happen are among the safety features.
Priced from £24,445 for this model, the Rifter looks ideally positioned to dominate its field – and not fall foul of the impressionable teens.
Factfile:
- Model: Peugeot Rifter GT Line BlueHDi 100
- Engine: 1.5-litre diesel
- Power: 101hp
- Top speed: 109mph
- 0-62mph: TBC
- Average mpg: 42-50.6
- CO2 emissions: 105-120g/km
- Warranty: Three years/60,000 miles
- Price: £24,445


Black cat starts for Cowboys after halting a game
Team tweets starting lineup
by Amir Vera, CNN(CNN) - Last week, no one knew the random black cat that delayed Monday's NFL game. This week, the cat's been announced as a starter for the Dallas Cowboys.
The Cowboys listed the black cat as "MVP Rally Cat" in a tweet announcing this week's starting lineup against the Minnesota Vikings. The graphic also included the blue Cowboys star in the pupil of the cat.
The frantic feline took to the field during the second quarter Monday when the Cowboys were playing the New York Giants at MetLife Stadium. Evading New Jersey state troopers, the cat scored its own touchdown and the crowd -- Cowboys and Giants fans alike -- erupted in cheers. The cat then disappeared into a tunnel and into the night.
The cat was bad luck for the Giants, but good luck for the Cowboys, who won 37-18.
Seems the cat's luck ran out for the Cowboys this week, the Vikings won 28-24.
CNN's Elizabeth Wolfe and Justin Lear contributed to this report.


kernel-definitions.Rd
Adds a new kernel to the proto_ipm
structure. Different
classes of IPMs may have many or only a few kernels. Each one requires its
own call to this function, though there are some exceptions, namely for kernels
derived from hierarchical models (e.g. vital rate models fit across plots and years).
See Details for more info
define_kernel(proto_ipm, name, formula, family, ..., data_list = list(), states, has_hier_effs = FALSE, levels_hier_effs = list(), evict = TRUE, evict_fun = NULL) define_k(proto_ipm, name, family, ..., data_list = list(), states, has_hier_effs = FALSE, levels_hier_effs = list(), evict = TRUE, evict_fun = NULL)
| proto_ipm | The name of object you wish to append the new kernel to. |
|---|---|
| name | The name of the new kernel. Survival and growth kernels should be
named |
| formula | An bare expression specifying the form of the kernel. See below for examples |
| family | The type of kernel. Options are |
| ... | For |
| data_list | A list of named values that correspond to constants in the formula. You do not need to specify vectors corresponding to the domains here. |
| states | A character vector containing the names of each state variable used in the kernel. |
| has_hier_effs | A logical indicating whether or not the kernel and/or its
underlying vital rates are structured with hierarchical effects. If so and you
specify either the functional forms or the exact parameter values you want to use,
the kernels will be automatically split according to the notation in the vital
rates and kernel formulae and multiple kernels will be built. See the vignette
on the syntax for this feature for more details ( |
| levels_hier_effs | A named list with vectors corresponding the various levels the hierarchical variable can take. Entries in this list should be a single vector and should be character or integer typed. |
| evict | A logical indicating whether an eviction correction should be applied
to the kernel. Default is |
| evict_fun | If |
All functions described here return a proto_ipm
.
define_k
The preferred method of defining a K
kernel is to use the left
hand side of the ...
to reference the population vectors that the right
hand side creates (e.g. n_T_1 = (P + F) * n_T
). This enables powerful
iteration-based methods to work properly. On the other hand, these iteration
based methods can be quite time consuming, and many applications only require
an iteration matrix while not necessarily requiring the population vectors (e.g.
calculations of deterministic population growth rate). In those cases, the
...
can contain something like K = P + F
. In this case, the left
hand side of the expression should match the name
argument to define_k
.
define_kernel
Describe vital rate expression syntax - include suffix expansion of hier_effs


Contact Us
For a price quote, or on-site demo, contact our representative directly using zip code or country search.
Alignment Systems
Tire Changers
Brake Lathes
Tire Changers
Brake Lathes
Heavy-Duty
Wheel Balancers
Lift Rack
Wheel Balancers
Lift Rack
Inspection
Other
Other
Contact Us
Choose the best option
Hunter Engineering produces options that are designed to provide a dedicated feature set to a specific market, but they all offer the same intuitive interface and rock-solid stability. Choose the package of features that best fits your needs and your budget, and move up at any time as your resources or requirements change.
Segments
{volist name="duibi" id="vo" }
{$vo.title}
{/volist}
{/volist}
Select up to three models for a comparison
{if condition="$Think.get.pid eq null or $Think.get.pid lt 0"}
{else /}
{volist name="img" id="vv" }
{$vv.title}
{/volist}
{/if}
{$vv.title}
| Feature Comparison | Road Force® Elite | ||
| Description | Premium Diagnostic Wheel Balancer | ||
| Cycle Time, Floor to Floor (secs) | 67 sec | ||
| Automatic Wheel Measurement | Standard | ||
| Automatic Weight Mode Selection | Standard | ||
| Automatic Runout Measurement | Standard | ||
| High Torque Drive | Standard | ||
| Dual Camera Vision System | Standard | ||
| Road Force® Measurement | Standard | ||
| Runout Measurement | Standard | No | No |
| Lateral Force Measurement | Standard | No | No |
| Rim Runout Measurement | Standard | No | No |
| Inflation Station | Standard | No | No |
| SmartWeight® | Standard | Standard | No |
| Enhanced SmartWeight | Standard | No | No |
| eCal™ | Standard | Yes | No |
| Touch Screen | Standard | Yes | No |
| Auto-Up Hood | Standard | No | No |
| BullsEye™ Collets | Standard | Optional | Optional |
| HammerHead™ TDC Laser System | Optional | Optional | No |
| Wheel Lift | Optional | Optional | Optional |
| Color LCD Display | Standard | Standard | No |
| Printer | Optional | Optional | No |
| Max Assembly Weight (lbs) | 175 | 175 lbs | 150 lbs |
| Max Assembly Diameter (inches) | 40 | 44 in | 38 in |
| TPMS/VIN Scan | Optional | Standard | No |
| BDC Laser | Standard | Standard | No |
| SpeedClamp | Optional | Optional | No |
| Voltage | 220V 1ph | 220 1ph | 220 1ph |
| Rim Scan | Standard | Standard | No |
| CenteringCheck® | Standard | Standard | Standard |
| Patch Balancing® | N/A | Standard | Standard |
| Servo Stop | Standard | Standard | Standard |
| Spindle-Lok® | Standard | Standard | |
| TranzSaver™ | Standard | No | No |
| Outer Dataset Arm | N/A | Standard | Standard |
| Superior Alloy Shaft | Standard | Yes | Yes |
| Training Videos | Standard | Yes | No |
| TruWeight | Standard | Yes | No |
| 3D Modeling of tire/wheel assembly | Standard | Yes | No |


Brennan and Dale are two middle aged men going nowhere. When their parents get married they are forced to become step brothers and move in together. While living together they fight and cause marital problems between their parents. As a result, the two team up to save their parents relationship.


Acquisition functions are mathematical techniques that guide how the parameter space should be explored during Bayesian optimization. They use the predicted mean and predicted variance generated by the Gaussian process model. For a set of such predictions on a set of candidate parameter sets, an acquisition functions combines the means and variances into a criterion that will direct the search.
The variance term that is generated by the Gaussian process model usually reflects the spatial aspects of the data. Candidate sets with high variance are not near any existing parameter values (i.e. those that have observed performance estimates). The predicted variance is very close to zero at or very near to an existing result.
There is usually a trade-off between two strategies:
exploitation focuses on results in the vicinity of the current best results by penalizing for higher variance values.
exploration pushes the search towards unexplored regions.
The acquisition functions themselves have quasi-tuning parameters that are usually trade-offs between exploitation and exploration. For example, if the performance measure being used should be maximized (i.e. accuracy, the area under the ROC curve, etc), then one acquisition function would be a lower confidence bound \(L = \mu - C \times \sigma\). The multiplier \(C\) would be used to penalize based on the predicted standard error (\(\sigma\)) of different parameter combinations. Note that the acquisition function is not the performance measure, but a function of what metric is used to evaluate the model.
One of the most common acquisition functions is the expected improvement. Based on basic probability theory, this can be computed relative to the current estimate of the optimal performance. Suppose that our performance metric should be maximized (e.g. accuracy, area under the ROC curve, etc). For any tuning parameter combination \(\theta\), we have the predicted mean and standard error of that metric (call those \(\mu(\theta)\) and \(\sigma(\theta)\)). From previous data, the best (mean) performance value was \(m_{opt}\)). The expected improvement is determined using:
\[ \begin{align} EI(\theta; m_{opt}) &= \delta(\theta) \Phi\left(\frac{\delta(\theta)}{\sigma(\theta)}\right) + \sigma(\theta) \phi\left(\frac{\delta(\theta)}{\sigma(\theta)}\right) \notag \\ &\text{where} \notag \\ \delta(\theta) &= \mu(\theta) - m_{opt} \notag \end{align} \]
The function \(\Phi(\cdot)\) is the cumulative standard normal and \(\phi(\cdot)\) is the standard normal density.
The value \(\delta(\theta)\) measures how close we are (on average) to the current best performance value1. When new candidate tuning parameters are needed, the space of \(\theta\) is searched for the value that maximizes the expected improvement.
Suppose a single parameter were being optimized and that parameter was represented using a log10 transformation. Using resampling, suppose the accuracy results for three points were evaluated:
In the first iteration of Bayesian optimization, these three data points are given to the Gaussian process model to produce predictions across a wider range of values. The fitted curve (i.e. \(\mu(\theta)\)) is shown on the top panel below, along with approximate 95% credible intervals \(\mu(\theta) \pm 1.96 \sigma(\theta)\):
Notice that the interval width is large in regions far from observed data points.
The bottom panel shows the expected improvement across the range of candidate values. Of the observed points, the expected improvement near the middle point has the largest improvement. This is because the first term in the equation above (with the \(\delta(\theta)\) coefficient) is very large while the second term (with the coefficient \(\sigma(\theta)\) is virtually zero. This focus on the mean portion will keep the search mostly in the region of the best performance.
Using these results, the parameter value with the largest improvement is then evaluated using cross-validation. The GP model is then updated and a new parameter is chosen and so on.
The results at iteration 20 were:
The points shown on the graph indicate that there is a region in the neighborhood of 0.01 that appears to produce the best results, and that the expected improvement function has driven the optimization to focus on this region.
When using expected improvement, the primary method for compromising between exploitation and exploration is the use of a “trade-off” value. This value is the amount of performance (in the original units) that can be sacrificed when computing the improvement. This has the effect of down-playing the contribution of the mean effect in the computations. For a trade-off value \(\tau\), the equation above uses:
\[ \delta(\theta) = \mu(\theta) - m_{opt} - \tau \]
Suppose that we were willing to trade-off \(\tau = 0.05\)% of the predicted accuracy during the search. Using the same three initial results, the procedure would end up in the same general location but would have explored more values across the total range:
There are two main strategies for dynamic trade-offs during the optimization:
Use a function to specify the parameter(s) for the acquisition functions. For expected improvement, this can be done using exp_improve(trade_off = foo())
. foo()
should be a function whose first parameter is the current iteration number. When tune
invokes this function, only the first argument is used. A good strategy might be to set trade_off
to some non-zero value at the start of the search and incrementally approach zero after a reasonable period.
control_bayes()
has an option for doing an additional uncertainty sample when no improvements have been found. This is a technique from the active learning literature where new data points are sampled that most help the model. In this case, the candidate points are scored only on variance and a candidate is chosen from a set of the most variable design points. This may find a location in the parameter space to help the optimization make improvements.
This equation treats \(m_{opt}\) as if it has no variation and no correlation to \(\mu(\theta)\). Neither of those are true so consider this a “first order approximation” instead of a highly accurate estimate.↩


F1 at zero-gravity: Red Bull float to a pit-stop first!
Formula 1 fastest pit crew take tyre changing to 33,000ft
Red Bull have beaten world records for F1 pit stops on the ground and now they have taken to changing wheels at speed while weightless.
Using the team's first-ever F1 car, the RB1 from 2005, a pit crew set to work in the challenging and unique conditions of zero-gravity at an altitude of nearly 33,000 feet in an Ilyushin Il-76 MDK cosmonaut training plane above the skies of Russia.
With the help of the Russian space agency at the Yuri Gagarin Cosmonaut Training Center in Star City, the mechanics, car and film crew took multiple fights in the plane's fuselage after training across a week with filming reduced to 15 seconds per take.
"Each flight consisted of a series of parabolas, with the aircraft climbing at a 45° angle, then falling in a ballistic arc, to produce a period of weightlessness of around 22 seconds before the next climb," explained Red Bull
Support team chief mechanic Joe Robinson said: "It pushed us harder than I thought it would. You realise how much you rely on gravity when you don't have any! Something as straightforward as tightening a wheelnut becomes very difficult when the car is floating, and the only control you have is through the stiffness of your ankles, tucked into floor straps.
"It challenges you to think and operate in a different way - and that was brilliant. It was a once in a lifetime opportunity and honestly, I could have stayed and done it all month. It was amazing. I think it's the coolest, most fun thing the Live Demo Team has ever done with a show car."
Red Bull's pit crew have beaten the record for F1's fastest pit stop on three occasions this season, most recently in last week's Brazilian GP with a rapid time of 1.82s.


Downloadable lists of prime numbers (from 1 to 50-million)
file name first prime last prime file name first prime last prime first million (**) 2 15,485,863 twenty-sixth million (**) 472,882,049 492,876,847 second million (**) 15,485,867 32,452,843 twenty-seventh million (**) 492,876,863 512,927,357 third million (**) 32,452,867 49,979,687 twenty-eighth million (**) 512,927,377 533,000,389 fourth million (**) 49,979,693 67,867,967 twenty-ninth million (**) 533,000,401 553,105,243 fifth million (**) 67,867,979 86,028,121 thirtieth million (**) 553,105,253 573,259,391 sixth million (**) 86,028,157 104,395,301 thirty-first million (**) 573,259,433 593,441,843 seventh million (**) 104,395,303 122,949,823 thirty-second million (**) 593,441,861 613,651,349 eighth million (**) 122,949,829 141,650,939 thirty-third million (**) 613,651,369 633,910,099 ninth million (**) 141,650,963 160,481,183 thirty-forth million (**) 633,910,111 654,188,383 tenth million (**) 160,481,219 179,424,673 thirty-fifth million (**) 654,188,429 674,506,081 eleventh million (**) 179,424,691 198,491,317 thirty-sixth million (**) 674,506,111 694,847,533 twelfth million (**) 198,491,329 217,645,177 thirty-seventh million (**) 694,847,539 715,225,739 thirteenth million (**) 217,645,199 236,887,691 thirty-eigtht million (**) 715,225,741 735,632,791 fourteenth million (**) 236,887,699 256,203,161 thirty-ninth million (**) 735,632,797 756,065,159 fifteenth million (**) 256,203,221 275,604,541 fortieth million (**) 756,065,179 776,531,401 sixteenth million (**) 275,604,547 295,075,147 forty-first million (**) 776,531,419 797,003,413 seventeenth million (**) 295,075,153 314,606,869 forty-second million (**) 797,003,437 817,504,243 eighteenth million (**) 314,606,891 334,214,459 forty-third million (**) 817,504,253 838,041,641 nineteenth million (**) 334,214,467 353,868,013 forty-forth million (**) 838,041,647 858,599,503 twentieth million (**) 353,868,019 373,587,883 forty-fifth million (**) 858,599,509 879,190,747 twenty-first million (**) 373,587,911 393,342,739 forty-sixth million (**) 879,190,841 899,809,343 twenty-second million (**) 393,342,743 413,158,511 forty-seventh million (**) 899,809,363 920,419,813 twenty-third million (**) 413,158,523 433,024,223 forty-eighth million (**) 920,419,823 941,083,981 twenty-fourth million (**) 433,024,253 452,930,459 forty-ninth million (**) 941,083,987 961,748,927 twenty-fifth million (**) 452,930,477 472,882,027 fiftieth million (**) 961,748,941 982,451,653


Fork this project on Github: Link
Twitter: Link
LinkedIn: Link
Medium: Link
Note: Turn on JavaScript to experience the rest of the app


Stack Overflow is a question and answer site for
professional and enthusiast programmers. It's 100% free, no registration
required.
Take the 2-minute tour
Take the 2-minute tour
Here's how it works:
- Anybody can ask a question
- Anybody can answer
- The best answers are voted up and rise to the top
Top Questions
1
vote
3
answers
23
views
0
votes
0
answers
2
views
0
votes
0
answers
12
views
0
votes
0
answers
4
views
1
vote
1
answer
13
views
0
votes
0
answers
3
views
1
vote
1
answer
5
views
-1
votes
1
answer
14
views
0
votes
1
answer
11
views
0
votes
0
answers
2
views
1
vote
1
answer
7
views
0
votes
0
answers
4
views
0
votes
0
answers
3
views
0
votes
0
answers
3
views
0
votes
3
answers
11
views
0
votes
0
answers
12
views
0
votes
0
answers
4
views
0
votes
0
answers
2
views
1
vote
0
answers
9
views
0
votes
0
answers
5
views
0
votes
0
answers
6
views
0
votes
0
answers
4
views
0
votes
0
answers
8
views
0
votes
1
answer
14
views
0
votes
0
answers
3
views
0
votes
0
answers
9
views
0
votes
0
answers
8
views
0
votes
0
answers
6
views
0
votes
2
answers
40
views
0
votes
0
answers
6
views
1
vote
0
answers
17
views
-2
votes
1
answer
12
views
1
vote
1
answer
227
views
0
votes
0
answers
7
views
0
votes
0
answers
10
views
0
votes
0
answers
8
views
0
votes
0
answers
3
views
0
votes
0
answers
9
views
0
votes
0
answers
5
views
0
votes
1
answer
33
views
0
votes
1
answer
14
views
0
votes
0
answers
7
views
0
votes
0
answers
8
views
0
votes
0
answers
5
views
0
votes
0
answers
8
views
0
votes
0
answers
14
views
0
votes
0
answers
4
views
0
votes
0
answers
9
views
1
vote
1
answer
111
views
0
votes
0
answers
5
views
0
votes
1
answer
15
views
0
votes
0
answers
6
views
0
votes
0
answers
8
views
0
votes
0
answers
6
views
0
votes
0
answers
3
views
0
votes
0
answers
2
views
0
votes
0
answers
2
views
0
votes
0
answers
7
views
1
vote
0
answers
8
views
0
votes
0
answers
3
views
1
vote
1
answer
17
views
0
votes
0
answers
4
views
1
vote
1
answer
20
views
0
votes
0
answers
6
views
0
votes
0
answers
6
views
0
votes
0
answers
4
views
0
votes
0
answers
2
views
0
votes
0
answers
6
views
0
votes
0
answers
4
views
0
votes
0
answers
6
views
0
votes
0
answers
5
views
0
votes
0
answers
3
views
0
votes
0
answers
5
views
0
votes
0
answers
5
views
0
votes
0
answers
4
views
0
votes
0
answers
4
views
0
votes
0
answers
3
views
1
vote
0
answers
5
views
0
votes
0
answers
3
views
0
votes
0
answers
2
views
2
votes
0
answers
15
views
2
votes
0
answers
23
views
2
votes
0
answers
17
views
0
votes
0
answers
3
views
1
vote
0
answers
15
views
1
vote
0
answers
6
views
0
votes
0
answers
1
view
1
vote
0
answers
3
views
1
vote
0
answers
11
views
2
votes
0
answers
17
views


Hello
Customer Name,
Order ID
Item
Quantity
Cost
1234567890
cool cake
1
1,116
Our Delivery person will be at your door step shortly


India’s worst-hit state for encephalitis turning a tide
GORAKHPUR, India (AP) - Years of recurring encephalitis outbreaks and high fatality rates of the brain inflammation disease among children in some of India’s poorest regions have revealed the cracks in the country’s health care system.
But things are changing in Uttar Pradesh - India’s most populous state, with millions of rural poor.
Encephalitis cases have dropped sharply because of a new network of rural clinics and an aggressive vaccination drive, potentially providing a template for other populous parts of Asia battling the disease.
In the past, patients had to travel at least 100 kilometers (60 miles) to reach a well-equipped government hospital, with a large number of them dying on the way.
Small hospitals are now being set up within 10 kilometers (6 miles) from the most disease-prone villages.
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


--- layout: project_single.html --- {% include JB/setup %} {% include themes/slate/project_single.html %}


You searched for: {{ query_string }}
Found {{ found_entries|length }} video{{ found_entries|pluralize }}.
No videos matched your search criteria.


--- layout: post status: publish published: true title: Autoscaling author: display_name: neil login: neil email<EMAIL_ADDRESS>url: '' author_login: neil author_email<EMAIL_ADDRESS>wordpress_id: 86 wordpress_url: https://www.millardtechnicalservices.co.uk/?p=86 date: '2016-08-21 22:20:48 +0000' date_gmt: '2016-08-21 21:20:48 +0000' categories: - Development - Infrastructure tags: [] comments: [] ---
One of the single best features of using cloud servers, is the ability to add servers to a cluster on demand.
Here is a useful article about autoscaling and why you should consider in in your application design.
https://blog.codeship.com/autoscaling-purpose-strategies/


a code coverage something or other, written in and for JavaScript*.
* ECMA Script, if you're nerdy enough


@main("Welcome to Play Framework") {
Welcome to the Play MongoDB and knockout.js template.
This template shows how you can create a reactive Play application with a rich front end and scalable backend.
Try adding a message: Add message
In the backend, MongoDB is being used to store messages entered in the front end. Reactive Mongo is being used to talk to MongoDB, using reactive IO. MongoDB is also being used to publish events, using a tailable cursor on a capped collection. This ensures that a Play application stays stateless, which allows it to easily scale out to react to load, and gracefully handle faults.
In the front end, knockout.js is being used to provide a reactive user interface. Bootstrap is being used for styling, and jQuery is being used to make AJAX calls, in combination with the Play Javascript router.
To receive real time updates of new messages, server sent events are being used, subscribing to the MongoDB tailable cursor on the backend.


Gustavo Cipriano Mota Sousa
Since September 2014, I am a PhD candidate at the University of Lille 1, working on the subject of self-managing cloud computing systems and software product lines under the supervision of Laurence Duchien and Walter Rudametkin.
I am part of the Spirals research group, a joint project-team between Inria Lille - Nord Europe and CRIStAL (UMR CNRS 9189) focused on self-adaptation for distributed and large software systems.
I received my Masters degree from the Federal University of Goiânia in 2012. There I worked under supervision of Fábio M. Costa on the subjects of model-driven engineering and<EMAIL_ADDRESS>Besides that, I have worked for 8 years as systems analyst and software developer in the public and private sectors in Brazil. From 2008 to 2010 I also taught courses on Programming and Computer Networking for students in Information Systems technical formation.
Contact
gustavo.sousa@inria.fr


Download setup
Desktop
-
Windows
-
macOS
-
Linux
- Get the latest Insider Preview: Please send an email with your GitHub login name to<EMAIL_ADDRESS>and
we will invite you to join the SiYuan Insider Preview team
Privacy Policy
-
All data is saved on a device under the full control of the user
-
No usage data will be collected


Parts of country could see snow tonight; Rain warning issued for seven counties
by By Digital Desk staffSnow is being forecast to fall over parts of Munster and Leinster today as the country sees colder than normal temperatures.
Met Éireann says rain will turn to sleet and snow over the two provinces later on.
"Maximum temperatures over the next few days wouldn't be out of place in January or February with colder than normal temperatures expected to persist through the rest of this week and into the weekend," said Meterologist Liz Walsh
"It is cold enough today, in fact, to see some wintery falls later on and we could see some sleet and snow around, mainly in parts of Munster and parts of south Leinster."
A status yellow warning for rainfall has been issued for counties Carlow, Kildare, Kilkenny, Laois, Wicklow, Offaly and Tipperary.
A spell of heavy rain is likely to lead to some spot flooding and will turn to sleet and snow in places later today.
The warning is in place from 2pm today until 2am tomorrow.
Meanwhile Dublin's cold weather initiative to house the city's homeless has kicked in for the winter.
186 permanent and 20 temporary beds are currently in place.
An extra 156 are to be added to the system by the end of December.
Forecasters expect the sleet and hill snow to gradually clear southwards tonight, though rain will linger near the east coast.
The day is expected to be cold, with top temperatures of four to eight degrees nationwide.
There will be lows of zero to two degrees overnight with some frost and icy patches developing by dawn.
READ MORE
New advocacy service to provide support for concerned patients


{% markdown %}
# Accessibility statement for contact the Gambling Commission
This website is run by the Gambling Commission. We want as many people as possible to be able to use this website.
For example, that means you should be able to:
- change colours, contrast levels and fonts
- zoom in up to 300% without the text spilling off the screen
- navigate most of the website using just a keyboard
- navigate most of the website using speech recognition software
- listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and
VoiceOver)
We’ve also made the website text as simple as possible to understand.
AbilityNet has advice on making your device easier to use if you have a
disability.
## How accessible this website is
We know some parts of this website aren’t fully accessible:
- some PDF content which is linked to from this service is not fully accessible to screen reader software
- some content on the Gambling Commission's website which is linked to from this service us not fully accessible
## What to do if you can’t access parts of this website
If you need information on this website in a different format, please contact us:
- Email [communications<EMAIL_ADDRESS>- Call 0121 230 6666
## Reporting accessibility problems with this website
We’re always looking to improve the accessibility of this website. If you find any problems that aren’t listed on
this page or think we’re not meeting accessibility requirements, contact:
[userresearch<EMAIL_ADDRESS>## Enforcement procedure
The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and
Mobile Applications) (No. 2) Accessibility Regulations 2018 (the ‘accessibility regulations’). If you’re not happy
with how we respond to your complaint, [contact the Equality Advisory and Support Service
EASS.
## Technical information about this website’s accessibility
The Gambling Commission is committed to making its website accessible, in accordance with the Public Sector Bodies
(Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.
 AA standard.
## How we tested this website
This website was last tested on 24 October 2019. The test was carried out by the Gambling Commission.
We tested:
- this website using accessibility checking software and different devices including mobiles, tablets and desktop computers.
This statement was prepared on 24 October 2019.
{% endmarkdown %}


--- layout: post title: Comparing technology stacks (of books) categories: - praise author: admin published: true date: 2005-10-28 08:38:25.000000000 +01:00 ---
Jon Tirsen is having fun comparing tech stacks:


In my personal time, I love to play around with hardware and robots.
I started in Node.js but recently I discovered Cylon.js and after a quick play around with it, I found it pretty awesome and decided to rewrite my projects using this framework.
As a starting point, I decided to rewrite the project to control the Sphero with the Leap Motion.
You can find the original repo here, but here are a few code snippets:
The way it works is pretty straight forward. The Sphero connects via bluetooth and the Leap Motion needs to be plugged in your computer. Once the Sphero is detected, the hand is tracked by the Leap Motion and the direction will be applied to the Sphero.
Feel free to have a better look at the code on Github.
Now, let’s move on to Cylon.js. The first thing I noticed about this framework is the short amount of code necessary to get to the same result. I managed to do pretty much the exact same thing in 68 lines of code!
I guess what makes it easier is that Cylon already has some modules you can install to program for certain devices, like the ones below:
To start using Cylon, you need to require it and specify which devices you are working with.
1 var Cylon = require('cylon');
2
3 Cylon.robot({
4 connections: {
5 leapmotion: {adaptor: 'leapmotion'},
6 sphero: {adaptor: 'sphero', port: '/dev/rfcomm0'}
7 },
8
9 devices: {
10 leapmotion: {driver: 'leapmotion', connection: 'leapmotion'},
11 sphero: {driver: 'sphero', connection: 'sphero'}
12 },
13
14 work: function(f){
15 }
16 }).start();
At the moment, this code is not really doing anything but you can see how to specify which devices you are going to use.
You have to specify a port for the Sphero because it connects to your computer via Bluetooth. To find the port for your own Sphero, run ‘ls /dev/tty.Sphero*’ in your console and replace the port in this code with the result you get.
The rest of the code goes inside the ‘work’ function as below:
1 work: function(my){
2 my.leapmotion.on('frame', function(frame){
3 if(frame.valid && frame.gestures.length > 0{
4 my.sphero.roll(70,0,1);
5 }
6 }
7 }
The code above makes the Sphero go forward if the Leap Motion detects any kind of gesture.
For the full code, have a look at my github repo.
I’ll probably write another tutorial soon once I have a chance to rewrite another project but in the meantime let me know if you have any question!


priority=0.0 type=normalBase description=The requested page does not exist ~~~~~~
If this is an issue in our website, please let us know (including the URL which led you here) and we'll fix it. Return to the website.


Tutorial: Use the keyboard arrows or the right buttons menu to move the circle around. Made with only Vanilla JS by Saurav (sauravabc16). Logic: *) If the ball is too close to the border it will change its color to Red. *) If the ball is too close to the border it will automatically stick to it. *) If the ball is too far from the border it will speed up.


[§6E-3.5] Consultation. The department shall consult with appropriate organizations on all matters relating to aviation artifacts. [L 1996, c 97, §2]


The University of Central Florida section of the Society of Women Engineers is a section of the national organization serving Central Florida. The primary purpose of SWE is to help students at UCF become aware of the opportunities available to them in engineering and STEM related careers. SWE empowers women and men to aspire, advance, succeed, and be recognized for their life-changing contributions and achievements as engineers and leaders.
Our section hosts different events each month to allow members to network with professionals, meet other women in engineering, and become involved in community outreach.
SWE at UCF hosts two major outreach events and attends countless more. We work with the UCF College of Engineering and Computer Science, the Orlando Science Center, the Girl Scouts of America, and other organizations to encourage girls to explore STEM. At our two signature events, we host workshops that explore the different fields of engineering and connect students and parents with industry professionals so they can learn what it is really like to be an engineer. In addition, SWE at UCF supports SWENext school clubs in our area.
Check out our page for Frequently Asked Questions in regards to
Membership, Outreach, and Conference. If this page does not answer your concerns, please contact us!


Research
Books
-
QuickChick: Property-Based Testing in Coq
(Online Version) (BIB)
Leonidas Lampropoulos, Benjamin C. Pierce. Software Foundations Series, Volume 4
-
Luck: A Probabilistic Language for Testing (Chapter, to appear)
In: Foundations of Probabilistic Programming
Authors: Leonidas Lampropoulos, Diane Gallois-Wong, Cătălin Hriţcu, John Hughes, Benjamin C. Pierce, and Li-yao Xia.
Editors: Gilles Barthe, Joost-Pieter Katoen, and Alexandra Silva
Conference and Journal Publications
-
Deeper Shallow Embeddings
PDF (BIB)
Jacob Prinz and Alex Kavvos and Leonidas Lampropoulos. ITP 2022
-
Computing Correctly with Inductive Relations
PDF (BIB)
Zoe Paraskevopoulou and Aaron Eline and Leonidas Lampropoulos. PLDI 2022
-
A Formal Model of Checked C
PDF (BIB)
Liyi Li and Yiyun Liu and Deena L. Postol and Leonidas Lampropoulos and David Van Horn and Michael Hicks. CSF 2022
-
Do Judge a Test by its Cover: Combining Combinatorial and Property-Based Testing
PDF (BIB)
Harrison Goldstein and John Hughes and Leonidas Lampropoulos and Benjamin C. Pierce. ESOP 2021
-
Coverage Guided, Property Based Testing
PDF (BIB)
Leonidas Lampropoulos and Michael Hicks and Benjamin C. Pierce. OOPSLA 2019
-
Achieving Safety Incrementally with Checked C
PDF (BIB)
Andrew Ruef and Leonidas Lampropoulos and Ian Sweet and David Tarditi and Michael Hicks. POST 2019
-
Keep your Laziness in Check
PDF (BIB)
Kenneth Foner and Hengchu Zhang and Leonidas Lampropoulos. ICFP 2018
-
Generating Good Generators for Inductive Relations
PDF (BIB)
Leonidas Lampropoulos and Zoe Paraskevopoulou and Benjamin C. Pierce. POPL 2018
-
A Tale of Two Provers: Verifying Monoidal String Matching in Liquid Haskell and Coq
PDF (BIB)
Niki Vazou and Leonidas Lampropoulos and Jeff Polakow. Haskell 2017
-
Ode on a Random Urn (Functional Pearl)
PDF (BIB)
Leonidas Lampropoulos and Antal Spector-Zabusky and Kenneth Foner. Haskell 2017
-
Beginner's Luck: a language for property-based generators
PDF (BIB)
Leonidas Lampropoulos and Diane Gallois-Wong and Catalin Hritcu and John Hughes and Benjamin C. Pierce and Li-yao Xia. POPL 2017
-
Measuring Neural Net Robustness with Constraints
PDF (BIB)
Osbert Bastani and Yani Ioannou and Leonidas Lampropoulos and Dimitrios Vytiniotis and Aditya V. Nori and Antonio Criminisi. NeurIPS 2016
-
Testing Noninterference, Quickly
PDF (BIB)
Catalin Hritcu and Leonidas Lampropoulos and Antal Spector-Zabusky and Arthur Azevedo de Amorim and Maxime Denes and John Hughes and Benjamin C. Pierce and Dimitrios Vytiniotis. JFP 2016
-
Foundational Property-Based Testing
PDF (BIB)
Zoe Paraskevopoulou and Catalin Hritcu and Maxime Denes and Leonidas Lampropoulos and Benjamin C. Pierce. ITP 2015
-
Testing Noninterference, Quickly
PDF (BIB)
Catalin Hritcu and John Hughes and Benjamin C. Pierce and Antal Spector-Zabusky and Dimitrios Vytiniotis and Arthur Azevedo de Amorim and Leonidas Lampropoulos. ICFP 2013
-
Automatic WSDL-guided Test Case Generation for PropEr Testing of Web Services
PDF (BIB)
Leonidas Lampropoulos and Konstantinos Sagonas. WWV 2012
Thesis
Talks and Tutorials
-
Adventures in Property-Based Testing
Research Challenges in Computer Science, NTUA, 2022
-
Computing Correctly with Inductive Relations
Athens PL Seminar, NTUA, 2021
-
Property-Based Testing for OCaml through Coq
OCaml Workshop, ICFP, 2021
-
Do Judge a Test by it’s Cover
Athens PL Seminar, NTUA, 2020
-
Adventures in Property-Based Testing
UIC PL Seminar, Spring 2020
-
Software Correctness through Testing and Verification
IMDEA, Spain, 2020
-
FuzzChick : Type-Aware Property-Based Fuzzing
Athens PL Seminar, NTUA, 2019
-
QuickChick : Property-Based Testing in Coq
(Slides)
POPL TutorialFest, Lisbon, 2019
-
StrictCheck : Keep your Laziness in Check
Athens PL Seminar, NTUA, 2018
-
Ode to a Random Urn
Athens PL Seminar, NTUA, 2017
-
Making our Own Luck
Athens PL Seminar, NTUA, 2016
-
Random Testing in the Coq Proof Assistant
(Slides)
Keynote: Computational Logic and Applications, Chalmers, 2017
-
Testing Noninterference, Quickly
Athens PL Seminar, NTUA, 2013
Workshop Abstracts
-
Property-Based Testing for OCaml through Coq
PDF
Paaras Bhandari and Leonidas Lampropoulos. OCaml Workshop 2021
-
Making our Own Luck: A Language for Random Generators (extended abstract)
PDF
Leonidas Lampropoulos, Benjamin C. Pierce, Cătălin Hriţcu, John Hughes, Zoe Paraskevopoulou and Li-yao Xia. PPS 2016
-
QuickChick: Property-Based Testing for Coq
PDF
Maxime Dénès, Cătălin Hriţcu, Leonidas Lampropoulos, Zoe Paraskevopoulou and Benjamin C. Pierce. Coq Workshop 2014


Main
Note that each "view" has its own controller which each gives the "msg" variable a value.
Click on the links.
This example uses the ng-view directive as a class attribute to a DIV element.


I am experienced in leveraging agile frameworks to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.
I started studying at Natural Sciences, taking part in projects.
C / C ++
Film Ticket: C # + SQL SERVER.
Web1: PHP + MYSQL + XAMPP
Web2: NODEJS + MONGODB + API POSTMAN + EJS.
Github
Join project at eraweb startup company.
PHOTOSHOP / AI
HTML5 / CSS3 / JAVASCRIPT / JQUERY.
RESPONSIVE MOBIE.
GITHUB.
I started learning BACK-END.
Take online courses on UDEMY. (NODEJS + API).
Study at the center of KHOA PHAM. (PHP + MYSQL).
Learn the MERN Stack - Full Tutorial (MongoDB, Express, React, Node.js).
Work by process and using GITHUB.
Participate in making outsource product and products.
Product : mailwizz is similar to mailchimp (Send Mail Marketing) -PHP Framework Yii1 .
Product : Stackposts - Social network management - PHP Framework CI.
Product : Wordpress ecommerce : Theme Sober (Shope cosmetics) - Kbeautygallery.vn
Build intermediary payments using API Stripe.
When scroll bottom. Load more Post. (NODEJS).
Caculator App : Ionic 4 (Typescript).
Search_movie App : Ionic 4.
Advance GITHUB.
My favorite hobby is playing football in spare time. After completing my home work at home, I generally spend my lot of free time in playing football. I was so interested to play football from my childhood however started learning to play well when I was 5 years old. Now, I really enjoy playing football and participate in the inter-school competitions.
I love many kinds of music; especially, when I fill myself with the sorrow, I love the songs which can share my sadness. I also like watching some US sitcoms such as: How I met your mother, Once upon a time, Sabrina is the thing I enjoy in my leisure time. Besides, I extremely love travelling, exploring new places with plentiful cuisines and nature, especially walking along the beach in the dusk that make me comfortable and peaceful.


Fixes / Features:
- Tabs are now rendered as hyperlinks. This means all of Chrome's context
menu actions for hyperlinks are available in Tabli and behave as expected.
- You can now re-open saved tabs individually. If you expand a closed, saved window and
click on an individual closed tab, Tabli will re-open the saved window
with just that tab open. Clicking on the window header (as opposed to a tab) will re-open
all previously open tabs for that window.
...plus a few other internal upgrades and minor bug fixes.


Materials
Sensors:
- Water Level Sensor
- DHT11 Temperature & Humidity Sensor
- IR Motion Sensor
- Photoresistor (Light Sensor)
- Flame Sensor
- MQ-2 Gas Sensor
- Coulour Sensor
Indicators:
- Red LED
- Buzzer
- White LED x2
Other:
- 4x4 Keypad
- Arduino Mega 2560
- Servo Motor
- 220Ω Resistor x2
- 9v Battery
- Various Jumper Wires


|
TSGL
A thread-safe graphics library
|
#include <Consumer.h>
Public Member Functions | |
| Consumer () | |
| Consumer (Queue< Star *> &sharedBuffer, unsigned long id, Canvas &can) | |
| void | lock () |
| void | act () |
| void | unlock () |
| Public Member Functions inherited from PCThread | |
| PCThread () | |
| Default-constructor for the PCThread class. More... | |
| PCThread (Queue< Star *> &sharedBuffer, unsigned long id, Canvas &can) | |
| virtual void | run () |
| virtual void | wait () |
| Public Member Functions inherited from Thread | |
| Thread () | |
| Default-constructor for a Thread object. More... | |
| Thread (unsigned long id) | |
| Explicit-constructor for a Thread object. More... | |
| unsigned long | getId () const |
| getId() is the accessor function for the id of the Thread object. More... | |
| void | start () |
| start() function creates the pthread inside of the Thread class. More... | |
| void | join () |
| join() function cancels the pthread inside of the Thread class. More... | |
| Thread (unsigned long id) | |
| unsigned long | getId () const |
| void | start () |
| void | join () |
Additional Inherited Members | |
| Static Public Attributes inherited from PCThread | |
| static std::atomic< bool > | paused |
| Protected Member Functions inherited from PCThread | |
| void | animateItem (int endX, int endY) |
| Static Protected Member Functions inherited from Thread | |
| static void * | threadFunction (void *obj) |
| threadFunction() is the function that the pthread should run as soon as it is created. More... | |
| static void * | threadFunction (void *obj) |
| Protected Attributes inherited from PCThread | |
| int | myX |
| int | myY |
| int | count |
| Queue< Star * > * | buffer |
| Canvas * | myCan |
| ConvexPolygon * | myShape |
| Arrow * | myArrow |
| Star * | myItem |
| Text * | myCountLabel |
Consumer class inherits from the Thread class in order to create a Consumer object. Inheritance: Thread class. Implements the run() method, which calls the consume() method.
| Consumer::Consumer | ( | ) |
Explicit-constructor for the Consumer class. param: sharedBuffer, a reference to the Queue object that is shared between the Consumer and Producer. param: id, an unsigned long that will be passed to the Thread() constructor that will act as the id for the Thread object. param: can, a handle to the Canvas that will be drawn on and will determine whether or not to continue consuming object from the Queue. return: The constructed Consumer object.
|
virtual |


Hello! My name is Nate Magera and I'm a Web Developer.
I've built Full Stack projects with JavaScript, React and Node.js.
When I'm not coding, you can probably find me watching or playing a sport of some kind!
freeCodeCamp Projects
Tech Stack: HTML/CSS, JavaScript, React, Node.js
Numerous projects completed through the freeCodeCamp curriculum
Labby
Tech Stack: AWS Lambda, AWS Serverless, Postgres, Knex.js, JavaScript, React
A project designed to automate certain processes at Lambda School. This project involved creating a back-end service to assign students to their chosen projects, based on their choices.
Art Portfolio
Tech Stack: React, Redux, Node.js, Postgres
Worked primarily as the Back-End developer. Used Node.js to create a back-end to feed data to the React app. Worked with a Postgres database for data storage.
Dad Jokes
Tech Stack: React, Redux, styled-components
Worked primarily as the Senior Front-End developer. Used Redux for state management for the application. Worked with junior engineers on the team to build the React application.


About
My name is Curtiss Davis and I am a Sophomore at Rose-Hulman Institute of Technology. In my time at Rose, I have learned how to code with Python, Java, Javascript, C, and some assembly code. My knowledge on this topics are not mastery level, but it does enable me to do mineal tasks that are assigned to me and have a quicker understanding of new material in those languages.
In my earlier stages of life, I went to Terre Haute South High School were I was apart of the Marching Band all four years. My senior year I even advanced to the role of Section Leader. This allowed me to get an understanding of how to lead a group of people and work with other people in power to make a plan for improvement. In regards to my sports life, I played Baseball from 1st grade until 8th grade, Basketball from 1st to 5th grade, and Track & Field the last two years of High School.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
James Martin’s version of this takeaway favourite is fast, easy, uses up your leftovers and goes easy on the washing up.
Heat the vegetable and sesame oil in a wok or large frying pan until it very hot. Add the garlic and ginger and cook briefly, stirring all the time.
Add the chilled rice. Season with salt and pepper and stir fry for about 5 minutes on a high heat.
Beat the eggs together and add to the pan. Stir fry until the eggs have set.
Add the peas, ham and chicken to the wok and warm through.
Put the fried rice in a bowl and serve.


Posted by Christoph Molitor on July 19, 2019
Posted by Christoph Molitor on May 31, 2019
Posted by Christoph Molitor on May 5, 2019
Posted by Christoph Molitor on April 14, 2019
Posted by Christoph Molitor on August 23, 2018
Posted by Christoph Molitor on November 26, 2017
Posted by Christoph Molitor on October 30, 2017
Posted by Christoph Molitor on August 26, 2017
Posted by Christoph Molitor on August 24, 2017