This DIDNT WORK for my girlfriend, but works for me.
I used to take bupropion alone for my depression, however, I started having issues with depression even on meds. No meds the doctors could find could make me not depressed.
Every single day since I have started doing this (and I have been doing it a while now) has been-only able to be described as perfect. I don't catch a buzz, I don't get dizzy or drunk feeling, so if that is what you are looking for, don't try this. The only thing I get is a constant state of pleasure at all times. Sometimes i get headaches, but I have always had those.
Everything is enjoyable, music brings constant euphoria, dancing is so fun, its easy to be nice, I can smile and laugh more, and depression is not even an option. I take a 24hr break every 5 days from the dxm to make sure my system is ok.
How I do it:
7:00am Bupropion SR 150
7:30am GABA 2 scoops in 1 cup apple juice
3:00pm Bupropion SR 150 + GABA 2 scoops in 1 cup apple juice + 60mg extended release DXM (in the form of mucinex DM)
9:00pm Bupropion SR 150 + GABA 2 scoops in 1 cup apple juice
(random nicotine during the day as well, unknown if affecting. Amount 1-3 cigarettes dispersed throughout the day)
Also make sure to drink alot of water as this will keep things working. I drink water bottles all day long...probably 60-80oz daily.
Remember, this may not work for you, or may have negative side affects for some individuals. It made my girlfriend nauseous-to the point of being stuck in bed all day- while on the other hand, it has and continues to make my life wonderful to the point of extacy all day long-with no hangover effect. When I do take a break, i still feel good, and it just slowly settles back to 'normal'.
Good luck, and hope you all find this works for you...
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Performance¶
Overview¶
One of the benefits of FD.io VPP is high performance on relatively low-power computing, this performance is based on the following features:
- A high-performance user-space network stack designed for commodity hardware:
- L2, L3 and L4 features and encapsulations.
- Optimized packet interfaces supporting a multitude of use cases:
- An integrated vhost-user backend for high speed VM-to-VM connectivity
- An integrated memif container backend for high speed Container-to-Container connectivity
- An integrated vhost based interface to punt packets to the Linux Kernel
- The same optimized code-paths run execute on the host, and inside VMs and Linux containers
- Leverages best-of-breed open source driver technology: DPDK
- Tested at scale; linear core scaling, tested with millions of flows and mac addresses
These features have been designed to take full advantage of common micro-processor optimization techniques, such as:
- Reducing cache and TLS misses by processing packets in vectors
- Realizing IPC gains with vector instructions such as: SSE, AVX and NEON
- Eliminating mode switching, context switches and blocking, to always be doing useful work
- Cache-lined aliged buffers for cache and memory efficiency
Packet Throughput Graphs¶
These are some of the packet throughput graphs for FD.io VPP 18.04 from the CSIT 18.04 benchmarking report:
Trending Throughput Graphs¶
These are some of the trending packet throughput graphs from the CSIT trending dashboard. Please note that, performance in the trending graphs will change on a nightly basis in line with the software development cycle:
For More information on CSIT¶
The FD.io CSIT is implemented with below platforms:
x86/64
ARM-AArch64
- Huawei TaiShan 2280
- Marvell MACCHIATObin
These are FD.io Continuous System Integration and Testing (CSIT)’s documentation links:


What is EndCraft?
EndCraft is a Minecraft server I've owned with some friends for about # years. I've been working on and off developing and running the server over that time, which really doesn't yeild results. So, I decided to create this website; a place to leave public files and archives of EndCraft to help people with more drive than me develop other servers. Check out the PMMP Archive for MC:BE and Helios information and the Java Archive for open-source files for Spigot servers.
Past Development
EndCraft was originally developed for MC:PE in 2013 using PMMP. The server moved to being vanilla-based in 2017, coming back to PMMP in 2019. EndCraft also was ported to Java in 2019 using Paper. In early August 2020 I shut down Java for the last time as of writing and left the team maintaining MC:BE. A name change and few months later MC:BE EndCraft, known as Helios Practice, closed on Febuary 1st, 2021.


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Read MoreLeverage 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. Organically grow the holistic world view of disruptive innovation via workplace diversity and empowerment.


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arXiv is a free distribution service and an open-access archive for {% if document_count -%}{{ "{:,}".format(document_count) }}{%- endif %} scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.
{#- /multi sends to either search, catchup or form interface based on which button is hit. -#}


Implementation of the post processing step to split up all faces with more than three indices into triangles.
More...
Implementation of the post processing step to split up all faces with more than three indices into triangles.
The triangulation algorithm will handle concave or convex polygons. Self-intersecting or non-planar polygons are not rejected, but they're probably not triangulated correctly.
DEBUG SWITCHES - do not enable any of them in release builds:
AI_BUILD_TRIANGULATE_COLOR_FACE_WINDING
- generates vertex colors to represent the face winding order. the first vertex of a polygon becomes red, the last blue. AI_BUILD_TRIANGULATE_DEBUG_POLYS
- dump all polygons and their triangulation sequences to a file


Click and drag to change the text's path. Direction of drawing determines the fronts side.
Warm
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Polygon


45 potentially lifesaving results delivered after Newport prostate cancer testing event
by Mat GrowcottNearly 50 potentially lifesaving results were delivered after a prostate cancer testing event in Newport.
Out of 592 men who received test results, 546 had normal results, 14 were given amber warnings and 31 received a letter telling them to get tested as soon as possible.
Prostate cancer affects 45,000 men each year, with about 11,500 dying from it.
Groups around the county hold testing nights each year to help identify those at risk, although there is no national screening programme.
Men who attend are given a simple blood test for their prostate specific antigen levels, or PSA.
Those with an amber test should see their GP in the next three months to get their PSA level retested. In the majority of cases further tests do not detect cancer.
Peter Sterling, of organisers Gnosall & Newport Lions, said: "We would be pleased to be contacted by men who have received red or amber letters in the past to hear about their experiences of treatment.
"It may benefit this group of men to meet and share their stories to build up a base of knowledge and to bust some myths about treatment and side-effects.
"If there is sufficient interest then Lions would be happy to help launch a local self-help support group to meet regularly to provide mutual advice and support."
For more details email<EMAIL_ADDRESS>or visit Gnosall & Newport Lions at their next business meeting at 7.30pm on the first Monday of the month at Gnosall Community Fire Station in Wharf Road.
The cost of the evening averages out at about £15 per person.
Gnosall & Newport Lions Club will be having a bucket collection at Waitrose in Newport at the end of November where half of the proceeds will be donated to the Newport Cottage Care X-ray Machine Appeal.


Google Earth Enterprise Documentation Home | GEE Server administration
Manage virtual hosts
A virtual host combines Apache virtual host functionality with publisher mapping within GEE Server so that you can publish your databases securely. You create and register a virtual host in GEE Server, assign a security protocol to it, and then associate multiple databases, including portable globes and maps, with that single virtual host. Add another virtual host when you want to use a different authentication and to associate different databases.
For example, you may have one or two security protocols but many databases and portable files to publish. Once you’ve created a virtual host for each security protocol and set up the appropriate authentication, you can associate different databases and portable globes and maps with the different virtual hosts, depending on the security protocols you need to apply.
You can also use the default virtual host configurations provided with GEE Server.
See Configure GEE Server 5.1.0 for SSL/HTTPS to add virtual hosts for HTTPS servers.
See geserveradmin in the Command Reference for information about all the virtual host commands.
Note: You may configure a virtual server in Apache using standard virtual host directives but it won’t be capable of hosting a GEE database until it is registered using geserveradmin
, as described in Create and register a virtual host in GEE Server.
- Default virtual hosts
- Create and register a virtual host in GEE Server
- Configure virtual hosts with a custom port number
- Associate a database with a virtual host
- Naming virtual hosts
Default virtual hosts
By default, GEE Server has two registered virtual hosts: public and secure. The secure virtual host is a protected virtual host with basic authentication. The default credentials are:
- Username: geeuser
- Password: geeuser
To reset the username and password:
sudo /opt/google/gehttpd/bin/htpasswd /opt/google/gehttpd/conf.d/virtual_servers/.vhpasswd geeuser
The public virtual host is unprotected and does not require any authentication.
Create and register a virtual host with digest authentication
You create and register a virtual host using the geserveradmin --addvh
command. This action results in a location-based virtual host for which you can configure authentication and create a password for a given user name. The following example shows how to set up digest authentication, one of the standard authentication types (AuthType
) provided by Apache server. See Apache HTTP Server 2.2 htdigest.
In GEE 4.4, virtual hosts were previously called virtual servers. Now, in GEE 5.x, virtual hosts specify a security protocol only and can also be associated with multiple published globes and maps. This change decouples the task of setting up security protocols from publishing maps and globes.
To create and register a virtual host with digest authentication:
- Create and register virtual host in GEE Server using the
geserveradmin
command:
/opt/google/bin/geserveradmin --addvh digest [--vhurl <url>] [--vhcachelevel <level>]
geserveradmin
creates the default location-based virtual host digest_host.location
in /opt/google/gehttpd/conf.d/virtual_servers
and registers it in GEE Server.
The vhurl
specifies the location of the virtual host. It must match the corresponding server-side virtual host configuration.
digest_host.location
to set up authentication.To set up digest authentication:
- Edit the
digest_host.location
file to set up the authentication configuration:cd /opt/google/gehttpd/conf.d/virtual_servers
sudo vi digest_host.location - Add the following content to the
digest_host.location
file:# The digest virtual host.
RewriteEngine on<Location /digest_host/>
SetHandler fdb-handler
AuthType Digest
AuthName "Private"
AuthDigestProvider file
AuthUserFile /opt/google/gehttpd/conf.d/virtual_servers/.htdigest
Require valid-user
</Location> - Create the password with a given user name using the password path that you specified in the
digest_host.location
file:sudo htdigest -c /opt/google/gehttpd/conf.d/virtual_servers/.htdigest Private username
sudo chmod 755 /opt/google/gehttpd/conf.d/virtual_servers/.htdigest
#Enter password twice at prompt
- Restart
geserver
after virtual host settings have been modified.sudo /etc/init.d/geserver restart
- Run
geserveradmin
on the command line, in this example, adding a virtual hostmy_custom_port_ssl
with a virtual host URL and custom port number:# geserveradmin —addvh —ssl my_custom_port_ssl —vhurl https://myservername.com:4343
- Change the extension of the newly created
my_custom_port_ssl.location_ssl
configuration file to differentiate from any default port (443) SSL virtual hosts you may have configured:<Apache path>/conf.d/virtual_servers/my_custom_port_ssl.location_ssl_custom
- Then manually add the Include directives for your custom port virtual host to the SSL configuration file for Apache server,
/opt/google/gehttpd/conf/extra/httpd-ssl.conf
:<VirtualHost _non_default_:4343>
# Include all SSL location-based virtual servers with custom port 4343.
Include conf.d/virtual_servers/*.location_ssl_custom
</VirtualHost> - Restart GEE Server:
sudo /etc/init.d/geserver restart
Configure virtual hosts with a custom port number
You may need to configure a virtual host to use a custom port number, commonly to differentiate from any default port (http:80
, https:443
) setting you may be using or when standard port numbers are being used for other purposes. With some edits to your Apache configuration files, you can set up custom port numbers for any location-based virtual host.
When creating a location-based virtual host with a custom port number, you need to rename and manually include the newly created location file, *.location
or *.location_ssl
in <Apache path>/conf.d/virtual_servers/
into the corresponding <Virtual Host>
section of the Apache configuration file and restart GEE server.
To add a virtual host with a custom port number configured for SSL:
Associate a database with a virtual host
To associate a database or portable globe or map with a virtual host, you specify the virtual host when you publish in GEE Server.
See Publishing databases and portables.
Naming virtual hosts
Virtual hosts on GEE Server are “name-based,” meaning that you can have multiple “names” that serve assets running on a single IP address. With name-based virtual hosting, GEE Server relies on the client to report the host name as part of the HTTP headers. Using this method, many different hosts can share the same IP address.
Although usage of the virtual host names is hidden, reusing the name for other assets being served can cause conflicts. To that end, GEE Server checks the target path when you create a virtual host against reserved words and virtual host paths already registered in system, but does not check the virtual host name itself. Here is the list of reserved words that we check against: "fdb", "htdocs", "admin", "cutter", "earth", "icons", "js", "maps", "portable", "shared_assets."


The Checking Folder dialog enables you to run a check and repair on your database or just a part of it.
This is a Hot Spot image. Move your mouse pointer over the image
and when the mouse pointer changes to the shape of a hand click
the left mouse button once for extra help.
When the dialog opens, the current folder will appear in the Folder list. If you want to check a different folder choose it from here. Alternatively you can run a check on the entire database by selecting the database name which will appear at the very top this list.
There are two options that you can select when checking your database. Firstly you can Automatically fix any errors found which will fix errors rather than just reporting their existence. Secondly you can generate a report by checking the Report progress to REPAIR.LOG file box. When the check has been completed you will find the REPAIR.LOG file in the main directory of your Ameol installation. You can open this file using any text editor or you can choose the View Repair Log option that is available at the end of the checking process.
Click the Start button to begin the checking process. You will see a progress indication above the two buttons. You should note that checking your entire database could take some time depending on the size of your message database and the speed of your machine. Click Cancel if you don't wish to proceed with a check at this time.
You can schedule the checking of folders using the Ameol Scheduler.
You should always run Check over your entire database if Ameol has been closed abnormally. To do this highlight the Folder list and press the Home key on your keyboard. The Folder section will display the top folder in your database, usually Main. Click Start to begin the check.


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You can place here short or long description. You can also easily past here images, tables, or even grid system. There is no limitation!
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This field required
Too SHORT! W need another {{password.errors.minlength.requiredLength - password.errors.minlength.actualLength}} characters please.
{{password.touched}}{{password.dirty}}


22 start-ups join Airbus accelerator programme 13 Nov 2019, 16:01 by Michael Tyrrell Share This Article Tweet ShareShareShare Subscribe to our FREE Newsletter Author


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How to watch UFC 244 Masvidal vs. Diaz on iPhone, iPad, and Apple TV
by Michael PotuckUFC 244 Masvidal vs. Diaz is set for Madison Square Garden in NYC on November 2nd at 10 pm ET. Read on below for how to watch the fight on iPhone, iPad, and Apple TV.
UFC fights are PPV through ESPN and you’ll need an ESPN+ subscription. For new customers, there’s a deal to get both a year of ESPN+ and access to UFC 244 Masvidal vs. Diaz at a 25% discount ($80, reg. $110).
Here’s how ESPN+ describes its UFC coverage:
Experience UFC like never before with exclusive live Fight Nights, hundreds of fight cards, UFC original shows, in-depth analysis, real-time statistics, and the best from the UFC catalog.
How to watch UFC 244 Masvidal vs. Diaz on iPhone, iPad, and Apple TV
If you’re not an ESPN+ customer yet:
- Download the ESPN app on your Apple device
- Tap the search icon (top left) to look up UFC 244
- Choose the UFC 244: Main Card
- Sign up for a year of ESPN+ for $50, then get access to UFC 244 for $30 (reg. $60)
Alternately, you can buy UFC 244 on a Mac or PC here (you can watch on any supported device).
If you’re already an ESPN+ subscriber:
- Open the ESPN app on your Apple Device
- Head to the ESPN+ tab
- Swipe down and look for UFC 244 under Top Upcoming Events
- Tap UFC 244: Main Card
- Buy access to the fight for $60
Read more 9to5Mac tutorials:
AirPods Pro:
- AirPods Pro: How to use Ear Tip Fit Test and change tips
- AirPods Pro: How to use noise cancellation and Transparency mode
- AirPods Pro vs Powerbeats Pro: How specs, size, price, and more compare
- What’s the difference in AirPods and AirPods Pro? Here’s how size, price, and features compare
iPhone & iPad:
- How to use the Deep Fusion iPhone 11 and iPhone 11 Pro camera feature
- iOS 13: How to use custom fonts on iPhone and iPad
- How to edit messages on iPhone and iPad with two-finger tap
- How to use the ‘Remind when messaging’ feature on iPhone, iPad, and Mac
- iOS 13: How to use Reader View on iPhone and iPad
- How to change icons and colors for Reminders Lists on iPhone, iPad, and Mac
- How to make subtasks and sublists with Reminders in iOS 13 and macOS Catalina
- How to get started with and use ‘Sign in with Apple’ on iPhone, iPad, and Mac
- iPadOS 13: How to make iPad app icons and text bigger
- How to use the ultra wide camera on iPhone 11 and iPhone 11 Pro
- How to use iCloud Keychain to manage and store your passwords
- How to use Night mode on iPhone 11 and iPhone 11 Pro
macOS Catalina:
- How to get started with and use Voice Control in macOS Catalina
- How to check iPad and Mac Sidecar requirements
- How to get your Mac ready for macOS Catalina
- How to create a bootable macOS Catalina 10.15 USB install drive [Video]
- How to sync iPhone and iPad to your Mac in macOS Catalina without iTunes
FTC: We use income earning auto affiliate links. More.


We are happy to introduce Let's Train, the online portal for all trainings at GreyOrange.
Below are your credentials to access the site:


General election: Coronation Street star eyes being an MP one day as she comes home - to meet Corbyn
Nicola Thorp plays Nicola Rubinstein in the ITV soap and is a passionate Labour supporter
by Dan Bloom, https://www.facebook.com/mirrordanbloomCoronation Street's Nicola Thorp opened the door to becoming a Labour MP as she met Jeremy Corbyn in her hometown.
The 31-year-old campaigner returned to Blackpool - a stone's throw from the rock factory her grandfather Bill founded in 1969.
The TV star, who plays Nicola Rubinstein in the ITV soap, won't rule out standing herself one day - as long as it's in the town.
"It’s not a never, of course! I’m positive. Never say never," she said.
"I think it’s really important that younger people, particularly younger women, get involved with politics."
The actor shot to prominence in 2016 when she was sacked from a temp job for refusing to wear high heels - sparking outcry.
She joined Corrie in 2017 and yon Tuesday she joined Labour's leader on the campaign trail.
In a joint interview with the Mirror, Mr Corbyn declared he will stay as Prime Minister for five full years if he wins the election.
Mr Corbyn - who will be 75 by 2024 - said he will "absolutely" stay the full length of a Parliament if he wins adding: "I’m fit and healthy and very happy."
A YouGov poll put the Tories 14 points ahead of Labour.
But Mr Corbyn said: "I never comment on opinion polls, I only comment on the prospects of success, and they are very very good."
As Ms Thorp jumped on Labour's battlebus, Mr Corbyn backed her No1 plea to revive seaside towns - slapping new regulations on cramped, unfit 'houses of multiple occupancy'.
She said: "B&Bs are owned by private landlords, who often live offshore and aren’t aware of the conditions their tenants are living in.
"I visited one weeks ago and we weren’t even allowed to walk all the way inside it because it wasn’t deemed safe enough."
Mr Corbyn - whose party is carrying out a 'policy review' of seaside towns - also suggested Victorian resorts could be revived with new arts projects and funds from offshore wind farms.
But as the pair chatted, Mr Corbyn admitted he's more of an EastEnders fan.
"Sorry, I’ve got to be honest about it," he said. "I watch EastEnders and I find it so bizarre I actually enjoy it.

Mr Corbyn would not confirm if Labour will keep its 2017 vow to end free movement for EU citizens after Brexit .
He said "ask me after Saturday" - when Labour's factions agree the manifesto.
But signalling a far softer approach than the Tories, he said: "We depend on a lot of European workers in this country.
"And a lot of British people depend on being able to work and travel in Europe. I don’t want to take those opportunities away from either group."
Mr Corbyn also claimed Ian Byrne - who shared expletive-filled online posts - had "changed".
Labour's ruling NEC kept the West Derby candidate despite outcry from some members about the posts, which called bra tycoon Michelle Mone a "c***" and Tory Esther McVey a "b******".
Mr Corbyn said the remarks were "disgusting and disgraceful and totally unacceptable" - but the decision was for the NEC.
He told the Mirror: "My personal view is that he’s explained what went on, explained in the context and the attitude he had at that time in his life, and I hope and believe that he has very much changed his personality and his approach.
"And I want people to be educated to get away from that kind of disgusting misogynistic language that he’s put forward."
Ms Thorp became a Labour backer after failing to vote in 2010 because of "anger and confusion and misrepresentation".
Now she lives on a houseboat so doesn't have a legal postal address.
Instead she has to cast her vote in her hometown, where her dad Geoff, 61, mum Jan, 61, and brother Dave, 29, run a factory making Blackpool rock.
She spoke to the Mirror two weeks after opening up about life with Borderline Personality Disorder in a bid to help others.
She told us she was wrongly diagnosed with bipolar disorder and "heavily medicated" in 2012 before finally being diagnosed last year.
"I thought I was going crazy," she said. "It was through that diagnosis and being linked with other people with similar diagnoses that I felt normal again and felt like I was in control of it again."


siege
HTTP loadtesting and benchmarking tool.
More information: home page
- Test a URL with default settings:
siege https://example.com
- Test a list of URLs:
siege --file path/to/url_list.txt
- Test list of URLs in a random order (Simulates internet traffic):
siege --internet --file path/to/url_list.txt
- Benchmark a list of URLs (without waiting between requests):
siege --benchmark --file path/to/url_list.txt
- Set the amount of concurrent connections:
siege --concurrent=50 --file path/to/url_list.txt
- Set how long for the siege to run for:
siege --time=30s --file path/to/url_list.txt


Awards
Wear SysUI Hackathon
Most Technically Difficult Hack
Chicago, IL (Remote)
December 2022
Alexa Devices Hackathon
Designer Award
Boston, MA
March 2019
Fire OS Hack Day
Most Shippable Hack
Seattle, WA
July 2017
Fire Hack Day
Most Technically Challenging Hack
Seattle, WA
November 2015
Intent Conference Science Fair
3rd Place
Seattle, WA
November 2015
Fire Phone Hackathon
Most Peculiar Hack
Seattle, WA
October 2014
Hackfit Philadelphia
1st Place, Swadio
Philadelphia, PA
April 2014
Upsilon Pi Epsilon
Member
Philadelphia, PA
May 2013


{% load static %}
Some quick example text to build on the card title and make up the bulk of the card's content.
Is it wrong to demand features in open-source


Curved Connector
Elbow Connector
The organization chart can be used to present hierarchical data in an interactive and user friendly way. The chart can be
added to a page using the following code:
The organization chart is designed to fill the size of the parent element.
The following attributes can be used to configure the chart:
Chart Options
All of the following options are optional, with the exception of the node template, and the default value will be used when
an option has not been specified.
Specifies the duration of any animations used in the chart in milliseconds.
Specifies number of node levels to show initially. Eg. 1 will show the root node and any of its immediate children.
If specified an arrow will appear above the root node. When clicked this function will be called. This could
be used for updating the data in the chart to show more parent levels in the hierarchy. To hide the button
after it has been clicked the function should return false
.
Specifies the appearance and behavior of the breadcrumb bar along the top of the chart.
Specifies the appearance and behavior of the nodes displayed in the chart. See table below for more info.
Specifies the style of connector, curved
or elbow
. If unspecified the curved connector
will be used.
Specifies whether the search functionality should be enabled and how it should be configured.
Note: Refer to the Hierarchy Bar Options for ‘hierarchyBar’
object attributes.
The url of a template file that will be inserted into each node.
If true, then clicking anywhere within a node will toggle the expanded/collapsed state of the node. Setting it to false will require you to manually expand and contract nodes.
Specifies the size of each node in pixels. It should have a width and height property
If true the search icon will appear at the top of the chart allowing a user to search all chart nodes and quickly navigate to them.
This should specify the url to a custom template file for the typeahead results. The default template will
show one line of text from a name
property on a node. See
UI Bootstrap
for more information on typeahead templates.
Specifies placeholder text to show in the search input field.
This function controls which items are suggested for any given search query. The function should expect two
arguments, the first is the search query and the second is a node model. This function should return
true if the node meets the search criteria and false if it does not. By default the nodes are filtered
based on a case insensitive match on a name
property.
Specifies a callback function that will be called when a search item has been selected. The select node model will be passed as an argument to the function.
The primary identity property on a node model. This will be displayed in the search input field when an item is selected.
Node Template
The node template will be compiled with a scope containing the data specific to that node. This can be used by the template
to display the information within the node. Additionally several functions are also exposed on the scope.
getChildCount
- this will return the number of children the node has.
getExpanded
- will return true
if the node
is in the expanded state otherwise will return false
.
expandNode
- will make the node reveal its children.
collapseNode
- will make the node hide its children.
Note: This component can be used in an Angular application by importing the HybridModule.


Archean Eon
15 Interestings facts
1_ The Archean Eon began about 4 billion years ago with the formation of Earth’s crust and extended to the start of the Proterozoic Eon 2.5 billion years ago
2_ Records of Earth’s primitive atmosphere and oceans emerge in the earliest Archean (Eoarchean Era)
3_ Fossil evidence of the earliest primitive life-forms—prokaryotic microbes from the domain called Archaea and bacteria—appears in rocks about 3.5–3.7 billion years old
4_ The start of the Archean Eon is only defined by the isotopic age of the earliest rocks.
5_ The earliest terrestrial materials are not rocks but minerals.
6_ It is thought that the oxygen content in today’s atmosphere must have slowly accumulated through time starting with an atmosphere that was anoxic during Archean times.
7_ Although oxygen did not accumulate in any appreciable amount in the atmosphere until early Proterozoic time
8_ the intense volcanism during the Archean Eon caused CO2 to be highly concentrated in the atmosphere.
9_ Throughout the Archean, oceanic and island arc crust was produced semi-continuously for 1.5 billion years; thus, most Archean rocks are igneous.
10_ Eventually, the ozone layer forms.
11_ As oxygen filled the oceans, it mixed with iron. Iron rusts when it reacts with oxygen.
12_ One type of bacteria present then were the cyanobacteria or blue-green algaes.
13_ The earliest life forms were anaerobic, forms that did not use oxygen to exist
14_ Three billion years ago, the sun was only about 70 percent as bright as it is today.
15_ By the end of the Archaean c. 2500 Ma (million years ago), plate tectonic activity may have been similar to that of the modern Earth.


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title: Simplificator blog
language: en
permalink: '/{% if pagination.pageNumber > 0 %}page/{{ pagination.pageNumber}}/{% endif %}'
pagination:
data: collections.post
reverse: true
size: 10
alias: posts
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The Simplificator blog
You are reading articles by Simplificator, a Swiss-based custom software development agency. Here we write about the problems we solve and how we work together.


Wide Open Technologies brings enterprise-level technology
to small and mid-sized companies -- building the digital technology that
solves unique problems, works better and turns ideas into functional reality.
Wide Open's tight knit team of experts becomes your team of experts, advising you on the most effective, efficient solution.
Wide Open constructs, implements and maintains your amazing new technology and makes your life easier.


Overview of NetworkX¶
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
NetworkX provides:
- tools for the study of the structure and dynamics of social, biological, and infrastructure networks;
- a standard programming interface and graph implementation that is suitable for many applications;
- a rapid development environment for collaborative, multidisciplinary projects;
- an interface to existing numerical algorithms and code written in C, C++, and FORTRAN; and
- the ability to painlessly work with large nonstandard data sets.
With NetworkX you can load and store networks in standard and nonstandard data formats, generate many types of random and classic networks, analyze network structure, build network models, design new network algorithms, draw networks, and much more.
Audience¶
The audience for NetworkX includes mathematicians, physicists, biologists, computer scientists, and social scientists. Good reviews of the science of complex networks are presented in Albert and Barabási [BA02], Newman [Newman03], and Dorogovtsev and Mendes [DM03]. See also the classic texts [Bollobas01], [Diestel97] and [West01] for graph theoretic results and terminology. For basic graph algorithms, we recommend the texts of Sedgewick (e.g., [Sedgewick01] and [Sedgewick02]) and the survey of Brandes and Erlebach [BE05].
Python¶
Python is a powerful programming language that allows simple and flexible representations of networks as well as clear and concise expressions of network algorithms. Python has a vibrant and growing ecosystem of packages that NetworkX uses to provide more features such as numerical linear algebra and drawing. In order to make the most out of NetworkX you will want to know how to write basic programs in Python. Among the many guides to Python, we recommend the Python documentation and the text by Alex Martelli [Martelli03].
Free software¶
NetworkX is free software; you can redistribute it and/or modify it under the terms of the 3-clause BSD License. We welcome contributions. Join us on GitHub.
History¶
NetworkX was born in May 2002. The original version was designed and written by Aric Hagberg, Dan Schult, and Pieter Swart in 2002 and 2003. The first public release was in April 2005. Many people have contributed to the success of NetworkX. Some of the contributors are listed in the credits.
Documentation¶
| Release: | 2.2rc1.dev_20180816183810 |
|---|---|
| Date: | Aug 16, 2018 |


Files CCore/inc/Signal.h CCore/src/Signal.cpp
A signal represents some event. Anybody interested in a reacting on the event may subscribe to receive a signal. Technically, signal is a list of subscribers. A signal assertion calls subscribers reaction methods.
The class Signal itself is very simple.
template <class ... TT>
class Signal : NoCopy
{
....
public:
// constructors
Signal();
~Signal();
// props
ulen getConnectedCount() const;
// methods
void assert(TT ... tt);
// class ConnectorBase
class ConnectorBase : NoCopy
{
....
public:
// constructors
template <class S>
explicit ConnectorBase(void (S::* call)(TT ... tt));
~ConnectorBase() {} // disconnect() must be called in the destructor of a derived class
// props
bool isConnected() const;
// methods
bool connect(Signal<TT...> &signal);
bool disconnect();
};
};
getConnectedCount() returns the number of subscribers.
assert() asserts the signal. All subscribers are called. Subscriber may disconnect itself during the call. But the signal itself must not be destroyed, in such case the Abort() is called.
The inner class ConnectorBase is used to build connector classes. A connector class manages connection and disconnection to a signal.
The constructor argument call is a pointer to a method of a derived from the ConnectorBase class. This method is called when a connected signal is asserted.
isConnected() returns true, if the connector is connected to a signal.
connect() connects to a signal. The return value indicates success. Connector must be disconnected.
disconnect() disconnects a signal. The return value indicates success. Connector must be connected.
Connector can be connected only to one signal. Derived class must call disconnect() in its destructor. When a signal dies, it's automatically disconnected from all subscribers.
The class SignalConnector should be used as a connector class.
template <class S,class ... TT>
class SignalConnector : public Signal<TT...>::ConnectorBase
{
....
public:
// constructors
SignalConnector(S *obj,void (S::* method)(TT ... tt));
SignalConnector(S *obj,void (S::* method)(TT ... tt),Signal<TT...> &signal);
~SignalConnector();
};
It uses the given object and its method to react on a signal. The second constructor also connects the object to the given signal.
Normally, you should include the connector object in the subscribers class:
class Subscriber { SignalConnector<Subscriber,int> connector; private: void method(int); public: Subscriber() : connector(this,&Subscriber::method) {} };
The class SignalInterface is similar to the Signal, but provides an alternative way of the signal assertion.
template <class I>
class SignalInterface : NoCopy
{
....
public:
// constructors
SignalInterface();
~SignalInterface();
// props
ulen getConnectedCount() const;
// methods
template <FuncInitArgType<I &> FuncInit>
void assert(FuncInit func_init); // func(I &)
// class ConnectorBase
class ConnectorBase : NoCopy
{
....
public:
// constructors
explicit ConnectorBase(I *iptr);
~ConnectorBase() {} // disconnect() must be called in the destructor of a derived class
// props
bool isConnected() const;
// methods
bool connect(SignalInterface<I> &signal);
bool disconnect();
};
};
assert() creates a functor, using Functor Init Pattern, and applies it to the interface, supplied by a subscriber. The pointer to the interface is recorded by the ConnectorBase class constructor.
The class SignalInterfaceConnector should be used as a connector class to work with the SignalInterface.
template <class I>
class SignalInterfaceConnector : public SignalInterface<I>::ConnectorBase
{
public:
// constructors
explicit SignalInterfaceConnector(I *obj);
SignalInterfaceConnector(I *obj,SignalInterface<I> &signal);
~SignalInterfaceConnector();
};


Class: Aws::SageMaker::Types::AlgorithmSpecification
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb |
Overview
Specifies the training algorithm to use in a CreateTrainingJob request.
For more information about algorithms provided by ::Aws::SageMaker
, see
Algorithms. For information about using your own algorithms, see
Using Your Own Algorithms with Amazon SageMaker.
Constant Summary
Instance Attribute Summary
-
#algorithm_name ⇒ String
rw
The name of the algorithm resource to use for the training job.
-
#container_arguments ⇒ Array<String>
rw
The arguments for a container used to run a training job.
-
#container_entrypoint ⇒ Array<String>
rw
The [entrypoint script for a Docker container][1] used to run a training job.
-
#enable_sage_maker_metrics_time_series ⇒ Boolean
rw
To generate and save time-series metrics during training, set to
true
. -
#metric_definitions ⇒ Array<Types::MetricDefinition>
rw
A list of metric definition objects.
-
#training_image ⇒ String
rw
The registry path of the Docker image that contains the training algorithm.
-
#training_image_config ⇒ Types::TrainingImageConfig
rw
The configuration to use an image from a private Docker registry for a training job.
-
#training_input_mode ⇒ String
rw
The training input mode that the algorithm supports.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#algorithm_name ⇒ String
(rw)
The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.
AlgorithmName
parameter or the image URI of the algorithm container to the
TrainingImage
parameter.
Note that the AlgorithmName
parameter is mutually exclusive with
the TrainingImage
parameter. If you specify a value for the
AlgorithmName
parameter, you can't specify a value for
TrainingImage
, and vice versa.
If you specify values for both parameters, the training job might
break; if you don't specify any value for both parameters, the
training job might raise a null
error.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#container_arguments ⇒ Array
<String
> (rw)
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#container_entrypoint ⇒ Array
<String
> (rw)
The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#enable_sage_maker_metrics_time_series ⇒ Boolean
(rw)
To generate and save time-series metrics during training, set to
true
. The default is false
and time-series metrics aren't
generated except in the following cases:
You use one of the
::Aws::SageMaker
built-in algorithmsYou use one of the following Prebuilt
::Aws::SageMaker
Docker Images:- Tensorflow (version >= 1.15)
- MXNet (version >= 1.6)
- PyTorch (version >= 1.3)
You specify at least one MetricDefinition
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#metric_definitions ⇒ Array
<Types::MetricDefinition> (rw)
A list of metric definition objects. Each object specifies the
metric name and regular expressions used to parse algorithm logs.
::Aws::SageMaker
publishes each metric to Amazon CloudWatch.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#training_image ⇒ String
(rw)
The registry path of the Docker image that contains the training
algorithm. For information about docker registry paths for ::Aws::SageMaker
built-in algorithms, see Docker Registry Paths and Example Code
in the Amazon ::Aws::SageMaker
developer guide. ::Aws::SageMaker
supports both
registry/repository[:tag]
and registry/repository[@digest]
image
path formats. For more information about using your custom training
container, see Using Your Own Algorithms with Amazon SageMaker.
AlgorithmName
parameter or the image URI of the algorithm container to the
TrainingImage
parameter.
For more information, see the note in the AlgorithmName
parameter
description.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#training_image_config ⇒ Types::TrainingImageConfig (rw)
The configuration to use an image from a private Docker registry for a training job.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end
#training_input_mode ⇒ String
(rw)
The training input mode that the algorithm supports. For more information about input modes, see Algorithms.
Pipe mode
If an algorithm supports Pipe
mode, Amazon SageMaker streams data
directly from Amazon S3 to the container.
File mode
If an algorithm supports File
mode, ::Aws::SageMaker
downloads the
training data from ::Aws::S3
to the provisioned ML storage volume, and
mounts the directory to the Docker volume for the training
container.
You must provision the ML storage volume with sufficient capacity to
accommodate the data downloaded from ::Aws::S3
. In addition to the training
data, the ML storage volume also stores the output model. The
algorithm container uses the ML storage volume to also store
intermediate information, if any.
For distributed algorithms, training data is distributed uniformly.
Your training duration is predictable if the input data objects
sizes are approximately the same. ::Aws::SageMaker
does not split the files
any further for model training. If the object sizes are skewed,
training won't be optimal as the data distribution is also skewed
when one host in a training cluster is overloaded, thus becoming a
bottleneck in training.
FastFile mode
If an algorithm supports FastFile
mode, ::Aws::SageMaker
streams data
directly from ::Aws::S3
to the container with no code changes, and provides
file system access to the data. Users can author their training
script to interact with these files as if they were stored on disk.
FastFile
mode works best when the data is read sequentially.
Augmented manifest files aren't supported. The startup time is
lower when there are fewer files in the ::Aws::S3
bucket provided.
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 423
class AlgorithmSpecification < Struct.new( :training_image, :algorithm_name, :training_input_mode, :metric_definitions, :enable_sage_maker_metrics_time_series, :container_entrypoint, :container_arguments, :training_image_config) SENSITIVE = [] include Aws::Structure end


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The RabbitMQ is the most widely deployed open source message broker.
Before we start, we have to install required packages:
$ npm i --save amqplib amqp-connection-manager
In order to switch to RabbitMQ transporter, we need to modify an options object passed to the
createMicroservice()
method.
{{ options }}
There are a bunch of available options that determine a transporter behavior.
urls |
Connection urls |
queue |
Queue name which your server will listen to |
prefetchCount |
Sets the prefetch count for the channel |
isGlobalPrefetchCount |
Enables per channel prefetching |
queueOptions |
Additional queue options. They are well-described here |


[Example] Tooltip on countries w/ legend
Demonstating: rendering a map with countries aggregated by number of locations
Every country have a tooltip attached and displays a legend
Lengends only work with linear scale
Open in a new window
View source code


Queries¶
This is a collection of queries that were found useful. Most of them aim to get entities based on their latest modification date, especially UDF modification date, as the API does not provide this.
-
genologics_sql.queries.
get_last_modified_project_artifact_udfs
(session, interval='2 hours')[source]¶ gets the project objects that have artifact udfs last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_artifacts
(session, interval='2 hours')[source]¶ gets the project objects that have artifacts last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_containers
(session, interval='2 hours')[source]¶ gets the project objects that have containers last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_process_udfs
(session, interval='2 hours')[source]¶ gets the project objects that have containers last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_processes
(session, interval='2 hours')[source]¶ gets the project objects that have containers last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_sample_udfs
(session, interval='2 hours')[source]¶ gets the project objects that have sample udfs last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_project_udfs
(session, interval='2 hours')[source]¶ gets the project objects that have a udf last modified in the last <interval>
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_projectids
(session, interval='2 hours')[source]¶ gets all the projectids for which any part has been modified in the last interval
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records
-
genologics_sql.queries.
get_last_modified_projects
(session, interval='2 hours')[source]¶ gets the project objects last modified in the last <interval>
Query: select * from project where age(lastmodifieddate)< ‘1 hour’::interval;
Parameters: - session – the current SQLAlchemy session to the database
- interval – str Postgres-compliant time string
Returns: List of Project records


| CONTENTS | PREV | NEXT | Java Remote Method Invocation |
The RMI protocol makes use of two other protocols for its on-the-wire format: Java Object Serialization and HTTP. The Object Serialization protocol is used to marshal call and return data. The HTTP protocol is used to "POST" a remote method invocation and obtain return data when circumstances warrant. Each protocol is documented as a separate grammar. Nonterminal symbols in production rules may refer to rules governed by another protocol (either Object Serialization or HTTP). When a protocol boundary is crossed, subsequent productions use that embedded protocol.
- We use a similar notation to that used in The Java Language Specification (see section 2.3 of the JLS).
- Control codes in the stream are represented by literal values expressed in hexadecimal.
- Some nonterminal symbols in the grammar represent application specific values supplied in a method invocation. The definition of such a nonterminal consists of its Java programming language type. A table mapping each of these nonterminals to its respective type follows the grammar.


Due to some statistics used for artifact chances not being in the savefile, you will have to compare the "could find with" value with your ingame values for some artifacts. Currently this applies to the following: Power Orb, Beard Hair, First Crystal Fragment, First Iron Fragment, Second Iron Fragment, Third Iron Fragment, Excavated Mirage, Ancestral Hourglass, Lantern of Guidance, Vault, Battlefield, Blood Chalice.
Artifact RNG State: {{result.state}}
Current Excavations: {{result.excavations}}
Eligible Artifacts (?): {{eligible}}
Unobtainable Eligible Artifacts: {{unobtain}}
Non-Random Artifacts: {{nonrandom}}


LETTER: Reflecting on local barber Vern Dempsey’s community impact
Dempsey recently retired after a tremendous 65-year career
Thanks for the article on Vern Dempsey.
As I’m a relative newcomer here, I only became acquainted with him in the 80’s or so.
The first time I went to his barbershop, I never walked in because there were so many men on the couch that I thought I didn’t have time to wait.
On later visits, I discovered that those men were just chewing the rag, and the place was a kind of hangout for local men, some of them my neighbours.
I came to enjoy sitting there too, absorbing the relaxed atmosphere while I waited for a trim. There I became acquainted with other farmers and discovered where harvesting was completed, which areas were still waiting for dry weather, and other important information.
I also became acquainted with Vern, as he was an interesting conversationalist, and he told me many experiences about his own life.
One thing I remember is his love in recent years for going on trail rides with horses and wagons, but he had to quit because his youth had left him far behind.
 There were pictures of his horses and a photo of his granddaughter who was in my Summer Bible School class one year.
One day I told him I was in a hurry and I prodded him a little. Vern let me know that he’d had a busy morning and he needed a coffee. Sorry, Vern.
Here was a man with perseverance. There’s not a man around who’s like him. Here’s a handshake for Vern Dempsey, an unforgettable man of the community.
Lloyd Penner
Stettler


Mnemonic:
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Passphrase:
BIP39 Seed:
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Number of Wallets:
Wallets:
Generate Wallets
Seed
Number of Wallets:
Wallets:
Restore Wallets


Product Software Terms of Use for Nokia digital health Products and Services
-
Relations between you and Nokia
By, installing, connecting and/or using a Nokia digital health Product, you expressly confirm your agreement to the following Product Software Terms of Use for Nokia digital health Products and Services(“Product Software Terms”). Nokia digital health Products are detailed in the user guide attached to each Nokia digital health Product (the “Product”). You can also find our user guides on the Nokia Health Help Center.
The Product Software is provided by Nokia Health USA Inc. (hereinafter “Nokia” or “We”).
The following Product Software Terms are a sub-set of Nokia Services Terms and Conditions for Nokia digital health Products and Services (“Nokia Services Terms and Conditions”). The Product Software Terms supersede any other document of the Nokia Services Terms and Conditions concerning its purpose.
The Product Software (hereinafter “Product Software”) is a software developed by Nokia, designed to allow an interaction between your smartphone, the data-centers and a Product. The Product Software are designed to be integrated and attached to a specific Product, allowing you to use the Product as described in the user guide attached to each Product.
As a user, you acknowledge and guarantee:
-
That You have obtained and read a copy of these Product Software
Terms; and,
-
To be in possession of the Product Software Terms on a durable media
for example by printing them out; and,
-
To be of age required or otherwise authorized under the law of your
country of residence to commit yourself into these Product Software Terms; and
- That you have the right to access and use the Product Software.
Any objection or contestation to these Product Software Terms will be interpreted as a refusal to agree to these Product Software Terms.
-
Definitions
API refers to Nokia application programming interface for developers dedicated for Nokia digital health Products and Services, as specified in the the applicable API agreement.
Products or Nokia Products and/or Services or Nokia Services refers to a range of Nokia digital health products and services offered and provided by Nokia.
Website: refers to the website available at the following address : health.nokia.com.
-
Modification of the Product Software Terms
It is understood and agreed between the parties that Nokia shall have the right, in any case, to modify all or part of these Product Software Terms, to reflect changes to the law or any applicable regulation, or modification of our Products and Services -or any event which is deemed sufficient by Nokia to command such revisions. Any new version of the Product Software Terms will not apply retroactively but replaces and supersedes the previous Product Software Terms. We advise you to frequently consult theNokia Services Terms and Conditionsand to save each version on durable media.
-
Prerequisites for Product Software usage, downloading and updates
You may use the Product Software as soon as you turn on your Nokia Health Product. Prior to use and installation of your Product, you may be required to download an Application. Such Application is subject to the Applications Terms of Use. The installation process will guide you until the Product Software is available for normal use of the Product as described in the user guide attached to each Product.
The download of the Product Software, and the exchange of data between the Product, the Application and Nokia data centers requires an Internet network connection that you have to supply. Sufficient quality of your Internet connection and sufficient speed and performance of the processor of your device are essential prerequisites for the use of Product Software. The device can be your personal smartphone or the Web browser of your computer (the "Device"). More detailed information on such prerequisites can be found on our Website. For more information please contact our customer support department.
Product Software are regularly automatically updated. Updates can be performed without prior notification. If you do not want your Product to be updated, you must disassociate it from the Application and prohibit any connection between the Product and the Internet. Some features and functionality of your Product may no longer be available.
You are hereby informed that the Product Software update may include substantial modifications of (1) the Product Software and/or (2) functionality available through the Product. We are unable to guarantee the continuity and availability of any functionality available through the Product Software and the Product. Furthermore, the functionality and availability of the Product Software may also vary depending from where you download, connect and/or use the Product.
-
Your Use of the Product Software
You may download, install and use any Product Software in accordance with these Product Software Terms of Use.
Data retrieved and presented to you may not be accurate due to an inappropriate use of the Application, Product or Device. Therefore, you may not use such data as a specific basis in a health plan.
By using any Product Software, you shall not:
-
Make any use of the Product Software in contradiction with any law
or regulations, or third party rights such as intellectual property rights, or rights with respect to privacy etc.; and,
-
Act in any manner that shall create any prejudice to Nokia, its
affiliates, partners or any user of our Applications, website, API, Nokia digital health Products and Services; and,
-
Fraudulently introduce any data on the Product Software,
Application, Website, API or through the Product Software; and,
-
Fraudulently introduce any data on the Website or on Nokia data
server; and,
-
Interfere, obstruct, or distort the proper working of the Product
Software or use the Product Software in any manner whatsoever to interfere with any rights of third parties or Nokia; and,
-
Undertake any action and/or use any method allowing data to be
retrieved, including Data scraping, data harvesting, Web crawling from the Product Software or our database enabling any direct or indirect migration and/or duplication of a significant portion of the data and/or services accessible from the Product Software; and,
-
Probe, scan, or technically analyse the Product Software; and,
-
Test the vulnerability, the performance and/or functionality of the
Product Software for reasons other than the ones strictly necessary to use the Product Software; and,
-
Breach of any security measures implemented on the Product Software
by Nokia; and,
- Use any illegitimate means to breach any authentication method,
implemented by Nokia in order to enable connection by the user to the Product.
-
Connection and identification
Your identification through a Nokia health account (hereinafter the “Account”) is required before any connection, access and use of the any Product Software. We remind you that you may decide to create your Account under a pseudonym.
By connecting an Application and a Product, you identify yourself as the user of the Product. This connection allows you to:
-
Link data collected by to Product to your Account; and,
-
Have access to your data through the graphic interface of the
Application; and,
- Save your personal data in our data center in accordance with Nokia
Privacy Policy and its Supplement for Nokia digital health Products and Services.
Should you create an Account, you are requested to follow a set of requirements in order to avoid that a third party would obtain access to your Account. Therefore, you have to verify that your password is sufficiently secured (composed with enough characters, mixed cases, and varied alphanumerical characters, etc.), and disconnect your session always when you disconnect from the Site and/or the Application. Access to your Account and/or any other means at your disposal to get connected to the Website and/or the Applications is made under your own liability. We remind you that access to your Account can provide access to your personal data. We strongly recommend you to activate the functionality adding a second password security to further protect connection to your Account through the Application.
Any connection to your Account from a third party to whom you have given you prior consent is under your own responsibility. We cannot be responsible for any of the personal data communicated to one or several third parties through an authorization given implicitly or explicitly by you to any such third party. Leaving the Application without logging-out, or not adding a second password security, is considered as an implicit authorization by you.
To facilitate access through the electronic system, we remind you that your identification can be automated through the use of Cookies.
-
Intellectual property - License to use the Product Software
The Product Software is composed of elements such as text, interfaces, photographs, charts, pictures, browsing means, trademarks, logo, graphics, design, music, artworks, computer code, software, fonts or any other elements incorporated into the Product (hereinafter “Product Software Element”). The Product Software Elements and all rights, including without limitation title and intellectual property rights therein, are owned by Nokia and/or its licensors and affiliates and are protected by international treaty provisions and all other applicable national laws of the country in which it is being used. The structure, organization, and code of the Product Software are valuable trade secrets and confidential information of Nokia and/or its licensors and affiliates.
Subject to your compliance with the Nokia Services Terms and Conditions, including these Product Software Terms, we, or any third party specifically designated for this purpose, grant you a personal, non-exclusive, non-transferable, non-assignable, non-sublicensable license, revocable at any time at Nokia’s sole discretion, to access and use the Product Software strictly in accordance with the Nokia Services Terms and Conditions. Use of the Product Software does not grant you any intellectual property rights in or to any information or content in the Product Software. The license granted under these Product Software Terms is strictly limited to the purpose of Nokia Services Terms and Conditions.
You may not distribute, transfer the right to use, modify, translate, reproduce, resell, sublicense, market, rent, lease, reverse engineer, de-compile, extract or otherwise attempt to discover the source code of any software included in the Product Software. For open source licensed software, if any, applicable open source license terms apply.
No right or license, express or implied, is granted to any part of the Product Software except as expressly set forth herein. In addition, no licenses or immunities are granted to the combination of the Product Software with any other software or hardware not delivered by Nokia or its authorized distributors or resellers. Also, any and all licenses with respect to any patents of Nokia and/or its licensors and affiliates and of any third party (including essential patents) are specifically excluded from the scope of the Nokia Services Terms and Conditions, including these Product Software Terms, and such licenses need to be acquired separately from Nokia or the respective right holders, as the case may be. Unless otherwise specified, the right hereby granted may apply to any updates and evolution of the Product Software.
-
Data Protection
At Nokia, protecting the privacy of our users is of utmost importance. You may want to read our Privacy Policy and our Supplement for Nokia digital health Product and Services.
We grant You the right of access to and the right to rectify any data concerning You by contacting our customer support department. You can also object, at any time on compelling legitimate grounds relating to your particular situation, to the processing of data related to you.
-
Data Hosting
By using any Product Software, you may allow Nokia, or any third party designated by Nokia for such purpose, to store data collected when using a Product and/or an Application and/or functionality allowed by a Product and Application. You may not be able to access to your data at all times, as we cannot guarantee you that your data will be available forever. We therefore recommend you to frequently save your data though the means provided in the Application.
-
Warranties
The following warranty applies to:
-
All Applications;
-
The Product Software;
-
Hosting services;
- Any improvements of the above.
The following warranty does not apply to:
- The Products
Unless required by any mandatory legal provision, the Website, the Applications, Product Software, hosting services, the API and improvements of any of the above (hereinafter the “Elements”) are provided on an “AS IS” and “AS AVAILABLE” basis. NOKIA MAKES, AND USER RECEIVES, IN CONNECTION WITH THE ELEMENTS NO OTHER WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT. WE DO NOT PROMISE THAT THE ELEMENTS, OR ANY CONTENT, SERVICE OR FEATURE OF THE ELEMENTS, INCLUDING ANY INFORMATION AND DOCUMENTS DOWNLOADED BY YOU ARE FREE OF ERRORS OR DEFECTS, OR THAT THE AFOREMENTIONED WILL BE CORRECTED.
   THIS LIMITATION OF RELIEF IS AN ESSENTIAL PART OF THE BARGAIN BETWEEN THE PARTIES WITHOUT WHICH THE PARTIES WOULD NOT HAVE ENTERED INTO THE AGREEMENT.
-
General provisions
Force Majeure
Any event that is deemed at once unforeseeable, insurmountable and external and thereby prevents us from fulfilling our obligations under these Product Software Terms is considered an event of Force Majeure (“Force Majeure Event”). The following events are especially considered as examples of Force Majeure Events: strikes, flood, fire, lock-outs, disruption and distractions in transport services, supply difficulties in raw material or energy, any communication interference resulting in any difficulty to fulfil any order or performance of any act required by the Product Software Terms shall be suspended for the duration of the Force Majeure Event. The performance of such act shall be immediately continued once the cause of the Force Majeure Event ceases.
Entire Agreement
This version of the Product Software Terms constitutes the entire agreement between you and us and cancels, excludes and replaces any previous conditions in its subject matter. You acknowledge that other documents of the Nokia Services Terms and Conditions may also apply to you when you are subject to these Product Software Terms.
Severability
If any provision of these Product Software Terms is held invalid or unenforceable by a court of competent jurisdiction, the invalid or unenforceable part or provision will be deemed as unwritten.
Waiver
Any failure to exercise or delay in exercising any right, power or privilege under these Product Software Terms shall not operate as a waiver; nor shall any single or partial exercise of any right, power or privilege preclude any other or further exercise thereof.
Evidence – Electronic communication
Any notification and communication between Nokia and you can be realised by any electronic means of communication such as emails. You hereby grant us your express consent for sending you by electronic means of communication any notification through your Nokia health account.
Governing law – Dispute resolution
These Product Software Terms and all any action related thereto shall be governed, controlled, interpreted by and construed in accordance with the laws of the State of Massachusetts (USA) without regard to principles of conflict of laws.
Any dispute, claim or controversy arising out of or relating to these Products Software Terms or the breach, termination, enforcement, interpretation or validity thereof, including the determination of the scope or applicability of these Product Sofware Terms to arbitrate, shall be determined by arbitration rather than in court, except that you may assert claims in small claims court if you claim qualify. The Federal Arbitration Act and federal arbitration law apply to these Product Software Terms. The arbitration shall be administered by Judicial Arbitration and Mediation Services, Inc. (“JAMS”) pursuant to its Streamlined Arbitration Rules and Procedures then in effect. The arbitration will be conducted on an individual basis – class arbitrations and class actions are not permitted -, in the hometown area of the consumer, using the English language, by one arbitrator who shall be selected from the appropriate list of JAMS arbitrators. Judgment on the Award may be entered in any court having jurisdiction. This clause shall not preclude parties from seeking provisional remedies in aid of arbitration from a court of appropriate jurisdiction.
Reference: product-software-conditions/20170620
Updated on 20 Jun 2017.
Versions: 20 Jun 2017 .
These conditions are valid from July 20, 2017. Click here to see the previously applicable conditions.


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I'm a CIT student. I have a passion for creating aesthetically pleasing dynamic web sites. I'm experienced in JQuery, Javascript, HTML, CSS, Bootstrap, C, and C++, with a strong background in design and illustration. My goal is to become a well-rounded web developer.
I am a Web Design student. I have knowledge of Bootstrap, JQuery, CSS, and HTML. A web designer always goes through hard work, practice, and dedication to become a great designer. Being a good listener, respect ideas, and have a clear development process help to get the result we work for.
I like to keep myself busy; currently working in the wine industry (in vino veritas) while doing some freelance work on the side. Constantly studying to improve my skills in web/software development, photography, and marketing. The future is bright!


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In total, you have annotated items with annotations about musical instruments.
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Emissions from electricity generation lead to premature deaths for some racial groups
| Source: | University of Washington |
| Summary: | Researchers have found that air pollution from electricity generation emissions in 2014 led to about 16,000 premature deaths in the continental US. |
Air pollution doesn't just come from cars on the road, generating electricity from fossil fuels also releases fine particulate matter into the air.
In general, fine particulate matter can lead to heart attacks, strokes, lung cancer and other diseases, and is responsible for more than 100,000 deaths each year in the United States.
Now University of Washington researchers have found that air pollution from electricity generation emissions in 2014 led to about 16,000 premature deaths in the continental U.S. In many states, the majority of the health impacts came from emissions originating in other states. The team also found that exposures were higher for black and white non-Latino Americans than for other groups, and that this disparity held even after accounting for differences in income.
The researchers published their results Nov. 20 in the journal Environmental Science & Technology.
"Our data show that even if states take measures to change their own electricity production methods, what happens across state lines could dramatically affect their population," said senior author Julian Marshall, a UW professor of civil and environmental engineering.
The team first examined how emissions from electricity generation plants could move across the continental U.S.
"We looked at emissions from different types of power plants — including coal, natural gas, diesel and oil power plants — and modeled how the pollutants would travel based on things like wind patterns or rain. We also consider how emissions can react in the atmosphere to form fine particle air pollution," said lead author Maninder Thind, a UW civil and environmental engineering doctoral student. "That gave us a map of pollution concentrations across the country. Then we overlaid that map with data from the census to get an estimate of where people live and how this pollution results in health impacts."
Then, using mortality data from the National Center for Health Statistics, the team estimated premature deaths due to electricity generation emissions. In 2014, there were about 16,000 premature deaths. The researchers estimate that 91% of premature deaths were the result of emissions from coal-fired power plants. The number of deaths in each state varied, with Pennsylvania having the highest number — about 2,000 — and Montana and Idaho having the lowest number, with fewer than 10 deaths each.
Emissions from electricity generation don't stop at state lines — many states "imported" or "exported" pollution. In 36 states, more than half of premature deaths were the result of emissions from other states.
Overall, the team found that emissions affected black Americans the most, leading to about seven premature deaths per 100,000 people in that group. White non-Latino Americans were the second most affected group with about six premature deaths per 100,000 people. Other groups averaged about four premature deaths per 100,000 people.
"A lot of people may expect that the disparity we see for race or ethnicity comes from an underlying difference in income. But that's not what we see," said co-author Christopher Tessum, a research scientist in the UW's civil and environmental engineering department. "We find that differences by race or ethnicity tend to be larger than differences by income group."
While the researchers found that overall, lower-income households experienced more exposure to emissions, the disparities they saw between race groups still held when they accounted for income.
The amount of power plant pollution that people breathe can vary by where they live. These disparities may be influenced by societal trends. For example, where people live often reflects segregation or other conditions from decades earlier.
These trends don't always hold when looking at individual areas. For example, exposures for Native Americans are lower than other groups overall, but in Kansas and Oklahoma, this group is the most exposed. The state with the largest disparities by race is Kentucky, where black people are the most exposed.
"We've seen in our previous research that our society is more segregated by race than by income, and now it's showing up again with air pollution from electricity generation emissions," Marshall said. "These results can help local, state or national governments make more informed decisions that will improve everyone's air quality and quality of life."
Inês Azevedo, a professor of energy resources engineering at Stanford University, is also a co-author on this paper. This publication was developed as part of the Center for Air, Climate, and Energy Solutions, which was supported under an Assistance Agreement awarded by the U.S. Environmental Protection Agency.
make a difference: sponsored opportunity
Story Source:
Materials provided by University of Washington. Original written by Sarah McQuate.
Note: Content may be edited for style and length.
Journal Reference:
- Maninder P. S. Thind, Christopher W. Tessum, Inês L. Azevedo, Julian D. Marshall. Fine Particulate Air Pollution from Electricity Generation in the US: Health Impacts by Race, Income, and Geography. Environmental Science & Technology, 2019; DOI: 10.1021/acs.est.9b02527
Cite This Page:
| MLA | University of Washington. "Emissions from electricity generation lead to premature deaths for some racial groups." ScienceDaily. ScienceDaily, 20 November 2019. <www.sciencedaily.com/releases/2019/11/191120131354.htm>. |
| APA | University of Washington. (2019, November 20). Emissions from electricity generation lead to premature deaths for some racial groups. ScienceDaily. Retrieved November 21, 2019 from www.sciencedaily.com/releases/2019/11/191120131354.htm |
| Chicago | University of Washington. "Emissions from electricity generation lead to premature deaths for some racial groups." ScienceDaily. www.sciencedaily.com/releases/2019/11/191120131354.htm (accessed November 21, 2019). |


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An important part of nowadays’ scientific results are produced using computers. Research articles often include simulations, visualizations, tables or charts that have been produced by processing, reformatting, filtering and analyzing raw data. The steps and materials needed to generate these results can be captured and stored in repositories. However, browsing and reusing the contents of these repositories is often difficult due to the large amount of information related to the same experiment. The goal of this project is to develop a web interface for helping navigating and exploring the contents of a repository containing scientific experiments. The group will have to explore the best way of presenting the existing information to users, depending of the level of detail demanded by the user. This includes features like:
- Produce overviews of the experiments and their executions by using interactive visualizations to help browse the steps of an experiment or why a certain execution failed.
- Text-based search, so users can easily access the contents of the repository.
- Compare results belonging to several executions of an experiment (for instance, several visualizations of the execution of a simulation).
- Explore the intermediate steps and results of an experiment to see how the data evolved (for example, how the data was filtered to produce a table)


{% extends "layout.html" %} {% block content %}
For each row, please enter the requested information.


Beer Pong Pocket Edition
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• Released on the Google Play store:
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App description: "Beer Pong Pocket Edition lets you play the classic game of beer pong with your phone! Play with your friends or by yourself and try to beat your opponent."
• Built using the Unity engine
• Graphic and sprites built using Blender and Photoshop
• Game mechanics programmed with C#
Laws for Influence
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• Released on the Google Play store:
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App description: "This is a compilation of human principles that all influential people have consciously or unconsciously utilized to make a difference. The information is sourced from the novels of Robert Greene and Dale Carnegie."
• Programmed in C# using the Xamarin framework
• Database constructed with SQLite
• Worked with the Android architecture to save user's preferences, access local database, and fire scheduled local notifications
GitHub
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• Repository of past projects:
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• Contains the source code and assets for my Android application listed on this page
• Contains the source code for this website
CodePen
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• Collection of web development projects:
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• Based off FreeCodeCamp's course
• Projects created using HTML, CSS, and JavaScript