Alfredo Morelos to Leicester and the truth about Rangers star's transfer speculation
A report down south suggests Brendan Rodgers' side are planning a move for the Ibrox talisman in January.
by Keith Jackson, https://www.dailyrecord.co.uk/authors/keith-jackson/Leicester City are not preparing a bid for Alfredo Morelos in January.
A report down south, which has been picked up by Scottish media outlets, suggests Brendan Rodgers' side are planning a move for the in-form Rangers striker in the New Year.
But Record Sport understand that the Foxes are not interested in signing the Colombian forward.
The Premier League side have also dismissed recent links with Celtic star Kristoffer Ajer .
Ibrox sporting director Ross Wilson insisted he is "100 per cent sure" Morelos will be going nowhere when the transfer window opens at the end of next month.
He said: "We want our best players to stay here as long as they possibly can.
"We understand that like every other club in world football that there comes a point when players have to move on to something else for a variety of reasons."
There was talk Leicester were targeting a January move for Ajer last month after being previously linked with the Hoops centre-half in the summer.
But Record Sport understand there is no substance to this claim.
One player Leicester were keen on acquiring was Callum McGregor as Rodgers tried to reunite with the midfielder in the summer.
Rodgers was instrumental in McGregor's success during his time at Parkhead but Celtic insisted their star player was not for sale.
The Scotland international has since penned a new five-year deal at the club.


I'm a product manager with a background in marketing. I take a hypothesis-driven and iterative approach to product development. My specialties include A/B testing, conversion rate optimization, front-end development, and web analytics.
Fluent is a performance marketing company that helps brands acquire, engage, and retain customers.
I was hired to help define the design and user experience of Fluent's first content marketing product. I also led the development of one of the company's new retargeting products.
Key Results:Merlin is a NYC-based blue-collar jobs marketplace connecting hourly workers with employers in retail, hospitality, and other service industries.
As Merlin's first marketing hire, I was responsible for a wide range of marketing efforts, including content marketing, media buying, and landing page optimization.
Key Results:Citiesense is a map-based data visualization platform that helps community stakeholders manage their neighborhood assets.
I was responsible for gathering insights from the platform's early adopters to identify common use cases and pain points to inform the product roadmap.
Key Results:eMarketer is a market research company that provides insights and trends related to digital marketing, media, and commerce.
I worked with eMarketer's lead UX designer to organize user interviews to collect user feedback and validate product prototypes.
Key Results:An 8-week part-time program covering growth topics including acquisition, retention, and user psychology. Taught by industry practitioners with a focus on real-world application.
A 4-week web development bootcamp followed by a 4-week internship in Cape Town, South Africa. Instruction in full-stack development with Ruby on Rails.
HTML, CSS, JavaScript, jQuery, React.js, Ruby on Rails, SQL
Google Analytics, Google Tag Manager, Google Optimize, Optimizely
Sketch, Invision, Balsamiq, Photoshop, Illustrator
Apart from being a product manager, I enjoy watches and video games. The two games I spend the most time playing right now are Fortnite and Rocket League. I'm an Android enthusiast (I've been an Android user since 2012) and I'm always trying to keep up to date with the latest developments in the Android ecosystem.
I have a strong interest in web design and front-end development. One of my goals for 2019 is to learn JavaScript, so I'll be spending a good chunk of my free time working on projects.


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Build a living roadmap for admission into the university of your dreams. Establish goals. Develop a custom plan and prepare for the tasks ahead.
Execute your plan. Gather materials, gain confidence, showcase your talents and involvement. Develop your personal essay. Gather transcripts and prepare for your interviews. Ensure everything hits the finish line like clockwork.
It's now late January and you have received a fat envelope from your dream school. It's time to celebrate! Let's start making your transition plans.
"Let's Go is fantastic! Thanks so much for helping me get accepted into Harvard!"
"Mr. Tobe is amazing. He was so sincere and engaging. Can't speak highly enough about him!"
"Let's Go is takes the pressure off college applications"
Glenn Tobe has an unparalleled relationship with high schools, universities and colleges. He has hands on experience teaching at private colleges and at state universities. He sees himself as a coach of adolescents. He has written two business books and dozens of articles, executive summaries, and reports for corporations, not-for-profits, and governments around the world. He knows how to get your child into the college of their dreams.
| University of Santa Clara | Emory University |
| Apple Incorporated | Golden State Warriors |
| U.S. Olympic Athletes | U.S. Government |


|
TrackracerAR
0.9.2
|
State to handle saving the currently built track to device and cloud. More...
Public Member Functions | |
| override void | EnterState () |
| Gets called when entering this state. For more info see GameManager class More... | |
| bool | OnSave (string trackName) |
| Attempts to save a track. More... | |
| void | OnCancel () |
| Returns back to the BuildEditorState More... | |
| void | OnNewTrack () |
| Returns back to the BuildDialogState More... | |
| void | OnDone () |
| Call for ending this state and go to race state More... | |
| string | OnShare () |
| Copies the database key to clipboard and returns it More... | |
| Public Member Functions inherited from State | |
| delegate void | InputActionHandler () |
| delegate void | TouchHandler (float x, float y) |
| void | SetParentStateMachine (StateMachine _sm) |
| virtual void | SetActive (bool _active) |
| virtual void | UpdateActive (double _deltaTime) |
| Override this as your Update Function in the State. Is only called when the current state is active More... | |
| virtual void | ExitState () |
| Gets called when exiting this state. For more info see GameManager class More... | |
Protected Member Functions | |
| override void | Initialise () |
| Override this as your Awake/Start/Init Function. Is called when this State is added to a StateMachine More... | |
Private Attributes | |
| IBuildStateMachine | m_buildSM |
Additional Inherited Members | |
| Protected Attributes inherited from State | |
| StateMachine | m_stateMachine |
| Properties inherited from State | |
| bool | Active [get, protected set] |
| Events inherited from State | |
| InputActionHandler | m_enteredState |
| InputActionHandler | m_exitedState |
State to handle saving the currently built track to device and cloud.
|
inlinevirtual |
Gets called when entering this state. For more info see GameManager class
Reimplemented from State.
|
inlineprotectedvirtual |
Override this as your Awake/Start/Init Function. Is called when this State is added to a StateMachine
Reimplemented from State.
|
inline |
Returns back to the BuildEditorState
Implements IBuildSaveState.
|
inline |
Call for ending this state and go to race state
Implements IBuildSaveState.
|
inline |
Returns back to the BuildDialogState
Implements IBuildSaveState.
|
inline |
Attempts to save a track.
Implements IBuildSaveState.
|
inline |
|
private |


|
Elektra
0.8.16
|
Following the elektra keyname convention application configurations are stored under /sw/org/myapp/#
and /sw/org/myapp/#0/current
is the profile to be used. The profile
plugin provides an easy way to switch configuration profiles.
The key /sw/org/myapp/#0/profile
defines what profile should be used as current
, e.g. /sw/org/myapp/#0/profile = myprofile
. If a key /sw/org/myapp/#0/myprofile/key
is found and no key /sw/org/myapp/#0/current/key
exists an override key will be created linking /sw/org/myapp/#0/currrent/key
to /sw/org/myapp/#0/myapp/key
If neither /sw/org/myapp/#0/current/key
nor /sw/org/myapp/#0/myprofile/key
is found, but /sw/org/myapp/#0/%/key
, /sw/org/myapp/#0/current/key
will be linked to /sw/org/myapp/#0/%/key
.
So a cascading lookup will automatically implement following preferences (next to the namespace preferences):
current
profile
%
fallback profileSuppose we have the configuration file profile.ini in ~/.config:
% cat profile.ini ``` [] profile = myprofile
[current] key2 = will win
[myprofile] key1 = test1 key2 = test2
[%] key2 = failed? key3 = test3 ```
Then we simply mount it without the profile plugin:
% kdb mount profile.ini /sw/org/myapp/#0 ini
But we have to make sure that the profile plugin is mounted globally:
% kdb global-mount profile
Then we can access /sw/org/myapp/#0 in a profile-aware way:
% kdb ls /sw ``` spec/sw/org/myapp/#0/current/key1 spec/sw/org/myapp/#0/current/key3 user/sw/org/myapp/#0 user/sw/org/myapp/#0/% user/sw/org/myapp/#0/%/key2 user/sw/org/myapp/#0/%/key3 user/sw/org/myapp/#0/current user/sw/org/myapp/#0/current/key2 user/sw/org/myapp/#0/profile user/sw/org/myapp/#0/myprofile user/sw/org/myapp/#0/myprofile/key1 user/sw/org/myapp/#0/myprofile/key2 ```
As we can see with the -v
option, we will fetch keys from our myprofile
even though we request current
:
% kdb get -v /sw/org/myapp/#0/current/key1 ``` got 25 keys searching spec/sw/org/myapp/#0/current/key1, found: spec/sw/org/myapp/#0/current/key1, options: KDB_O_CALLBACK The resulting keyname is user/sw/org/myapp/#0/myprofile/key1 test1 ```
To switch profile we simply have to set one key: ``` kdb set user/sw/org/myapp/#0/profile newprofile ```
Usually, this will be done via commandline by setting proc/sw/org/myapp/#0/profile
.


Plugin Information |
|---|
Distribution of this plugin has been suspended due to unresolved security vulnerabilities, see below. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
This plugin is up for adoption. Want to help improve this plugin? Click here to learn more!
ScriptTrigger makes it possible to monitor an environment with a script.
Features
The ScriptTrigger plug-in enables you to configure the polling predicate by the evaluation of a script.
Two types of script are supported
* Groovy script
If the expression evaluation returns true, a build is scheduled.
* Shell or Windows Batch script
A script is executed and a build is scheduled if the exit code matches your expected exit code.
For both types, if the script execution output contains the content <cause>YOUR_SCHEDULED_CAUSE</cause>, 'YOUR_SCHEDULED_CAUSE' is used as the build cause.
Additionally, if the script execution output contains the content <description>MY DESCRIPTION</description>, the 'MY DESCRIPTION' value is attached to the run.
Note: The plug-in uses only persistence in memory. There is no impact on the Jenkins infrastructure (no new files created).
This plugin provides a polling typology among the XTrigger Plugin.
Known limitations
Impossible to combine it with EnvInject plugin
Script Trigger plugin enables you to run an external script for knowing if job has to be scheduled, whereas EnvInject enables you to control environment variables when the job runs. Therefore, scripttrigger and EnvInject have 2 disctinct objectives. In conclusion, it is not possible to exploit envinject configuration. Your Script has to be standalone and independent from the job. Export your environment variables directly from your script.
Configuration
Changeling
Release 0.34
* Fix JENKINS-33328 - Cannot run trigger script on a slave node
Release 0.33
* Fix JENKINS-31017 - Description doesn't get the resolved variable
Release 0.32
* Add a MIT Lisence for all sources
Release 0.31
* Fix JENKINS-19379 - The scripttrigger plugins fails to load the parameter files when the System script is in use.
Release 0.30
* Fix JENKINS-18667 - NullPointerException when saving job config
Release 0.29
* Adding envvar replacement for groovyFilePath
Release 0.28
* Fix JENKINS-17641 \ Unknown field 'logEnabled' in org.jenkinsci.lib.xtrigger.XTriggerCause
Release 0.27
* Fix reopened JENKINS-17566 - Severe polling error when using script trigger
Release 0.26
* Fix JENKINS-17566 - Severe polling error when using script trigger
Release 0.25
* Test if the node is active when the polling do the work
Release 0.24
* Updat to xtrigger-lib 0.20
** Refactor error management
Release 0.23
* Fix polling issue by updating to org.jenkins-ci.lib:xtrigger-lib:jar:0.19:compile
- org.jenkins-ci.lib:envinject-lib:jar:1.16:compile
Release 0.22
* Re-adding newLine to line read in script content
Release 0.21
* Fix JENKINS-14535 - Fails to poll when no executors on master
Release 0.20
* Fix JENKINS-14104 - Use same node which has been specified in the "Restrict where this project can be run" field
Release 0.19
* Try to delete generated temporary file
* Upgrade to xtrigger-lib 0.12
Release 0.18
* Add an option to have concurrent builds
* Update to xtrigger-lib 0.11
Release 0.17
* Fix JENKINS-13542 - Backslashes in Environment / Script-Variables are not quoted correctly for Groovy
* Update to xtrigger-lib 0.10
Release 0.16
* Fix JENKINS-13208 - Use EnvVarsResolver for Groovy scripts
* Fix JENKINS-13209 -Support System Groovy scripts
* Merge pull request
- Add system script checkbox in configuration UI
- Add log/out/job variables to groovy shell
- Setup the SYSTEM user during script execution
- Log envvars used for script re-writing
- Log messages and stack traces if the groovy script fails
Release 0.15
* Update to xtrigger-lib 0.8
Release 0.14
* Update to xtrigger-lib 0.7
Release 0.13
* Fixed JENKINS-11907 - scripttrigger doesn't close file
Release 0.12
* Environment variables are taken into account
Release 0.11.1
* Removed duplicate script resolution
Release 0.11
* Added cause and description attachment if they are present in the script execution output
Release 0.10
* Added the ability to inject environment variables with the EnvInject Plugin.
Release 0.9
* Added environment and job variables resolution to the script content
Release 0.8
* Fixed JENKINS-11042 - IOException when running ScriptTrigger with slaves
* Built for 1.409 (LTS series compatibility)
* Fixed log polling file
Release 0.7
* Fixed script execution node
* Refactoring
Release 0.6
* Added Jenkins environment variables resolution in script execution
Release 0.5
* Added the ability to provide scripts with a file path
Release 0.4.1
* Fixed a hep plugin message
Release 0.4
* Added a polling an the exit code of a shell script or a Windows batch script.
Release 0.3
* Improved help files
* Added a check: executing the script only if the Jenkins instance is not isQuietingDown() and the job is buildable
Release 0.2
* Added the feature: 'Can specify job properties as a properties file'
Release 0.1
* Initial release


I recently completed a PhD in Computer Science at the University of Manchester, as part of a Marie-Curie Fellowship funded by the EU. During my PhD I was also a Research Associate at AllianceBernstein, London. The broad topic of my research is the study of machine learning applications for time-series analysis with applications on finance, covering deep neural networks, automated data augmentation and hidden Markov models.
I hold an MSc in Physics from University of Buenos Aires. I completed my MSc thesis at the Max Planck Institute for Physics in Munich, where I worked on pattern recognition of W-boson events during collisions inside the ATLAS experiment at CERN.
Download my resumé.
PhD in Computer Science, 2021
University of Manchester
BSc + MSc in Physics, 2016
University of Buenos Aires


27 Mar 2020 Bowen Li (@Bowen__Li)
In this blog post, you will learn our motivation behind the Flink-Hive integration, and how Flink 1.10 can help modernize your data warehouse.
Introduction
What are some of the latest requirements for your data warehouse and data infrastructure in 2020?
We’ve came up with some for you.
Firstly, today’s business is shifting to a more real-time fashion, and thus demands abilities to process online streaming data with low latency for near-real-time or even real-time analytics. People become less and less tolerant of delays between when data is generated and when it arrives at their hands, ready to use. Hours or even days of delay is not acceptable anymore. Users are expecting minutes, or even seconds, of end-to-end latency for data in their warehouse, to get quicker-than-ever insights.
Secondly, the infrastructure should be able to handle both offline batch data for offline analytics and exploration, and online streaming data for more timely analytics. Both are indispensable as they both have very valid use cases. Apart from the real time processing mentioned above, batch processing would still exist as it’s good for ad hoc queries and explorations, and full-size calculations. Your modern infrastructure should not force users to choose between one or the other, it should offer users both options for a world-class data infrastructure.
Thirdly, the data players, including data engineers, data scientists, analysts, and operations, urge a more unified infrastructure than ever before for easier ramp-up and higher working efficiency. The big data landscape has been fragmented for years - companies may have one set of infrastructure for real time processing, one set for batch, one set for OLAP, etc. That, oftentimes, comes as a result of the legacy of lambda architecture, which was popular in the era when stream processors were not as mature as today and users had to periodically run batch processing as a way to correct streaming pipelines. Well, it’s a different era now! As stream processing becomes mainstream and dominant, end users no longer want to learn shattered pieces of skills and maintain many moving parts with all kinds of tools and pipelines. Instead, what they really need is a unified analytics platform that can be mastered easily, and simplify any operational complexity.
If any of these resonate with you, you just found the right post to read: we have never been this close to the vision by strengthening Flink’s integration with Hive to a production grade.
Flink and Its Integration With Hive Comes into the Scene
Apache Flink has been a proven scalable system to handle extremely high workload of streaming data in super low latency in many giant tech companies.
Despite its huge success in the real time processing domain, at its deep root, Flink has been faithfully following its inborn philosophy of being a unified data processing engine for both batch and streaming, and taking a streaming-first approach in its architecture to do batch processing. By making batch a special case for streaming, Flink really leverages its cutting edge streaming capabilities and applies them to batch scenarios to gain the best offline performance. Flink’s batch performance has been quite outstanding in the early days and has become even more impressive, as the community started merging Blink, Alibaba’s fork of Flink, back to Flink in 1.9 and finished it in 1.10.
On the other hand, Apache Hive has established itself as a focal point of the data warehousing ecosystem. It serves as not only a SQL engine for big data analytics and ETL, but also a data management platform, where data is discovered and defined. As business evolves, it puts new requirements on data warehouse.
Thus we started integrating Flink and Hive as a beta version in Flink 1.9. Over the past few months, we have been listening to users’ requests and feedback, extensively enhancing our product, and running rigorous benchmarks (which will be published soon separately). I’m glad to announce that the integration between Flink and Hive is at production grade in Flink 1.10 and we can’t wait to walk you through the details.
Unified Metadata Management
Hive Metastore has evolved into the de facto metadata hub over the years in the Hadoop, or even the cloud, ecosystem. Many companies have a single Hive Metastore service instance in production to manage all of their schemas, either Hive or non-Hive metadata, as the single source of truth.
In 1.9 we introduced Flink’s HiveCatalog, connecting Flink to users’ rich metadata pool. The meaning of HiveCatalog
is two-fold here. First, it allows Apache Flink users to utilize Hive Metastore to store and manage Flink’s metadata, including tables, UDFs, and statistics of data. Second, it enables Flink to access Hive’s existing metadata, so that Flink itself can read and write Hive tables.
In Flink 1.10, users can store Flink’s own tables, views, UDFs, statistics in Hive Metastore on all of the compatible Hive versions mentioned above. Here’s an end-to-end example of how to store a Flink’s Kafka source table in Hive Metastore and later query the table in Flink SQL.
Stream Processing
The Hive integration feature in Flink 1.10 empowers users to re-imagine what they can accomplish with their Hive data and unlock stream processing use cases:
- join real-time streaming data in Flink with offline Hive data for more complex data processing
- backfill Hive data with Flink directly in a unified fashion
- leverage Flink to move real-time data into Hive more quickly, greatly shortening the end-to-end latency between when data is generated and when it arrives at your data warehouse for analytics, from hours — or even days — to minutes
Compatible with More Hive Versions
In Flink 1.10, we brought full coverage to most Hive versions including 1.0, 1.1, 1.2, 2.0, 2.1, 2.2, 2.3, and 3.1. Take a look here.
Reuse Hive User Defined Functions (UDFs)
Users can reuse all kinds of Hive UDFs in Flink since Flink 1.9.
This is a great win for Flink users with past history with the Hive ecosystem, as they may have developed custom business logic in their Hive UDFs. Being able to run these functions without any rewrite saves users a lot of time and brings them a much smoother experience when they migrate to Flink.
To take it a step further, Flink 1.10 introduces compatibility of Hive built-in functions via HiveModule. Over the years, the Hive community has developed a few hundreds of built-in functions that are super handy for users. For those built-in functions that don’t exist in Flink yet, users are now able to leverage the existing Hive built-in functions that they are familiar with and complete their jobs seamlessly.
Enhanced Read and Write on Hive Data
Flink 1.10 extends its read and write capabilities on Hive data to all the common use cases with better performance.
On the reading side, Flink now can read Hive regular tables, partitioned tables, and views. Lots of optimization techniques are developed around reading, including partition pruning and projection pushdown to transport less data from file storage, limit pushdown for faster experiment and exploration, and vectorized reader for ORC files.
On the writing side, Flink 1.10 introduces “INSERT INTO” and “INSERT OVERWRITE” to its syntax, and can write to not only Hive’s regular tables, but also partitioned tables with either static or dynamic partitions.
Formats
Your engine should be able to handle all common types of file formats to give you the freedom of choosing one over another in order to fit your business needs. It’s no exception for Flink. We have tested the following table storage formats: text, csv, SequenceFile, ORC, and Parquet.
More Data Types
In Flink 1.10, we added support for a few more frequently-used Hive data types that were not covered by Flink 1.9. Flink users now should have a full, smooth experience to query and manipulate Hive data from Flink.
Roadmap
Integration between any two systems is a never-ending story.
We are constantly improving Flink itself and the Flink-Hive integration also gets improved by collecting user feedback and working with folks in this vibrant community.
After careful consideration and prioritization of the feedback we received, we have prioritize many of the below requests for the next Flink release of 1.11.
- Hive streaming sink so that Flink can stream data into Hive tables, bringing a real streaming experience to Hive
- Native Parquet reader for better performance
- Additional interoperability - support creating Hive tables, views, functions in Flink
- Better out-of-box experience with built-in dependencies, including documentations
- JDBC driver so that users can reuse their existing toolings to run SQL jobs on Flink
- Hive syntax and semantic compatible mode
If you have more feature requests or discover bugs, please reach out to the community through mailing list and JIRAs.
Summary
Data warehousing is shifting to a more real-time fashion, and Apache Flink can make a difference for your organization in this space.
Flink 1.10 brings production-ready Hive integration and empowers users to achieve more in both metadata management and unified/batch data processing.
We encourage all our users to get their hands on Flink 1.10. You are very welcome to join the community in development, discussions, and all other kinds of collaborations in this topic.


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In case you find missing content, please report a bug against the project that has the broken link.
You can always go back to the main OpenStack documentation site.
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S. Olagoke Nigeria Enterprises is the place where design portraits the purposes. We creatively carve our designs with unique concepts and strong visual communications and powerful ingenious ideas to suit our clients’ purpose.
S. Olagoke Nigeria Enterprises is the place where design portraits the purposes. We creatively carve our designs with unique concepts and strong visual communications and powerful ingenious ideas to suit our clients’ purpose.
As a choice of graphic and printing design company, S. Olagoke Prints designs and prints awesome, breath-taking, creative graphics for individuals, companies and organizations. Knowing well that custom publishing helps companies, organizations and associations to solidify and grow their customer relationships, while building brand value, S. Olagoke Prints goes the extra-mile to give you something really classic. Because there is something extra special about a well-designed company product with professional quality photography, that inspires dreams and ultimately motivates customers to boost your business patronage. In addition, well-designed company touch points add a higher level of legitimacy to your company and products.
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EVO HTML to PDF Converter can set the location in a PDF page where to go when the generated PDF is opened in a PDF viewer. Additionally you can set the initial zoom level.
The options you can set in this demo are:
HTML Page to Convert
-
HTML Page URL or Local File to Convert. The URL of the HTML page to convert must be accessible from the computer where the converter runs.
If the page requires authentication or if you are using a proxy server to access Internet then you have to set the converter properties accordingly
as described in documentation
Go To Page Action
-
Page Number. The number of the PDF page where to go when the generated PDF document is opened in a PDF viewer
-
Location. The point in the PDF page where to go when the generated PDF document is opened in a PDF viewer
-
View Mode. The view mode when the PDF viewer goes to the selected location in the selected PDF page. When the view mode is X, Y and Zoom you can also set a zoom level to be used by PDF viewer.
The other options are Fit Window to fit the PDF viewer window both horizontally and vertically, Fit Horizontally to fit the PDF viewer window horizontally and
Fit Vertically to fit the PDF viewer window vertically


Last updated: 2022-02-16
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This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
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the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .Rprofile
Ignored: analysis/.DS_Store
Ignored: analysis/qc03_sims_cache/
Ignored: analysis/qc03_sims_t_cache/
Ignored: output/qc02_distns/.DS_Store
Untracked files:
Untracked: analysis/figure/
Untracked: output/qc02_distns/combined_umap_qc_plots_16030X4.pdf
Untracked: output/qc02_distns/combined_umap_qc_plots_16030X4.png
Unstaged changes:
Modified: analysis/qc02_distns.Rmd
Modified: code/qc02_distns.R
Modified: output/qc02_distns/selected_biaxials.pdf
Modified: output/qc02_distns/selected_marginals.pdf
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/qc02_distns.Rmd
) and HTML
(docs/qc02_distns.html
) files. If you’ve configured a
remote Git repository (see ?wflow_git_remote
), click on the
hyperlinks in the table below to view the files as they were in that
past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | a3cc174 | wmacnair | 2022-02-12 | Tweak how marginal distributions are plotted |
| Rmd | 257196d | markrobinsonuzh | 2021-08-24 | burn down first, then commit |
| html | 257196d | markrobinsonuzh | 2021-08-24 | burn down first, then commit |
library('SampleQC')
library('scran')
library('scales')
prep_dir = 'output/qc01_prep_data'
datasets = c('Campbell', 'HGSOC', 'Macosko', 'Zeisel', 'Shekhar', 'Wang')
data_dir = 'data/miqc/'
hgsoc_fs = c('16030X2', '16030X3', '16030X4')
source('code/qc00_utils.R')
source('code/qc02_distns.R')
# where to save, what formats?
save_dir = 'output/qc02_distns'
if (!dir.exists(save_dir))
dir.create(save_dir)
# define file to check
vars_all = c('counts_k', 'feats_k', 'mito_pct',
'log_counts', 'log_feats', 'logit_mito', 'log_mito_prop')
qc_names = c('log_counts', 'log_feats', 'logit_mito')
# decide what to save as outputs
formats = c('.png', '.pdf')
sel_biax = c('Bipolar5', 'Bipolar6', 'sample19', 'sample41', 'UFast',
'Zeisel')
sel_marg = c('arc1', 'Refed', 'r6', 'p1', 'Bipolar1', 'Bipolar2',
'sample29', 'sample57')
marg_f = file.path(save_dir, 'selected_marginals')
biax_f = file.path(save_dir, 'selected_biaxials')
# define which sample to use for clustering analysis
sel_f = '16030X4'
patch_f = sprintf('%s/combined_umap_qc_plots_%s', save_dir, sel_f)
datasets_dt = lapply(datasets,
function(d) d %>%
sprintf('%s/%s_qc_dt.txt.gz', prep_dir, .) %>%
fread %>%
.[, .(sample_id, cell_id,
counts_k = total / 1e3, feats_k = detected / 1e3,
mito_pct = subsets_mito_percent,
log_counts, log_feats, logit_mito,
log_mito_prop = log10(subsets_mito_percent / 100))] %>%
.[, dataset := d]) %>% rbindlist
sce_f = sel_f %>% sprintf('%s/%s.rds', data_dir, .)
set.seed(20220216)
hgsoc_sce = load_and_prep_sce_file(sce_f)
loading 16030X4
finding HVGs
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm):
collapsing to unique 'x' values
running PCA
clustering
running UMAP
done!
qc_vals_dt = datasets_dt %>%
melt(id = c('dataset', 'sample_id', 'cell_id'), measure = vars_all,
variable.name = 'qc_var', value.name = 'qc_val')
plot_dt = make_plot_dt_for_umap(hgsoc_sce, datasets_dt, sel_f, qc_names)
for (s in unique(datasets_dt$sample_id)) {
cat('### ', s, '\n')
print(plot_biaxials_one_sample(datasets_dt[sample_id == s], qc_names))
cat('\n\n')
}
for (d in unique(qc_vals_dt$dataset)) {
cat('### ', d, '\n')
print(plot_marginals(qc_vals_dt[dataset == d]))
cat('\n\n')
}
UMAP
of selected sample(plot_umap_clusters(plot_dt))
UMAP
of selected sample(plot_qc_metrics_over_umap(plot_dt, nrow = 1))
(plot_violins_qc_metrics(plot_dt))
g = make_patchwork_plot(plot_dt)
for (f in formats)
ggsave(file = paste0(patch_f, f), g, h = 11, w = 10)
print(g)
# restrict to first 2 samples for each dataset
sel_dt = qc_vals_dt[sample_id %in% sel_marg] %>%
.[, .(dataset, sample_id)] %>% unique
d_list = unique(sel_dt$dataset) %>% sort
qc_sel_dt = merge(qc_vals_dt, sel_dt, by = c('dataset', 'sample_id'))
g_list = lapply(d_list, function(d) {
g = plot_marginals(qc_sel_dt[dataset == d]) + labs(subtitle = d) +
theme_bw(base_size = 8) + theme(plot.margin = margin(0, 0, 0, 0, "cm"))
return(g)
})
g = wrap_plots(g_list, ncol = 1, heights = table(sel_dt$dataset) + 0.2) +
plot_annotation(tag_levels = 'A')
for (f in formats)
ggsave(file = paste0(marg_f, f), g, h = 12, w = 8)
# pick some to demonstrate (just do grid of biaxials)
g_list = lapply(sel_biax, function(s) {
dt = datasets_dt[sample_id == s]
d = unique(dt$dataset)
g = plot_biaxials_one_sample(datasets_dt[sample_id == s], qc_names) +
labs(subtitle = sprintf('%s: %s', d, s)) +
theme(plot.margin = margin(0.5, 0.5, 0.5, 0.5, "cm"))
return(g)
})
g = wrap_plots(g_list, ncol = 2) +
plot_annotation(tag_levels = 'A')
for (f in formats)
ggsave(file = paste0(biax_f, f), g, h = 12, w = 10)
sessionInfo()
R version 4.1.2 (2021-11-01)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] scater_1.22.0 patchwork_1.1.1
[3] ggplot2_3.3.5 assertthat_0.2.1
[5] forcats_0.5.1 stringr_1.4.0
[7] magrittr_2.0.2 data.table_1.14.2
[9] scales_1.1.1 scran_1.22.1
[11] scuttle_1.4.0 SingleCellExperiment_1.16.0
[13] SummarizedExperiment_1.24.0 Biobase_2.54.0
[15] GenomicRanges_1.46.1 GenomeInfoDb_1.30.0
[17] IRanges_2.28.0 S4Vectors_0.32.3
[19] BiocGenerics_0.40.0 MatrixGenerics_1.6.0
[21] matrixStats_0.61.0 SampleQC_0.6.5
[23] BiocStyle_2.22.0 BiocManager_1.30.16
[25] colorout_1.2-2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] ggbeeswarm_0.6.0 colorspace_2.0-2
[3] ellipsis_0.3.2 mclust_5.4.9
[5] rprojroot_2.0.2 bluster_1.4.0
[7] XVector_0.34.0 BiocNeighbors_1.12.0
[9] fs_1.5.2 rstudioapi_0.13
[11] farver_2.1.0 ggrepel_0.9.1
[13] RSpectra_0.16-0 fansi_1.0.2
[15] mvtnorm_1.1-3 R.methodsS3_1.8.1
[17] codetools_0.2-18 splines_4.1.2
[19] sparseMatrixStats_1.6.0 knitr_1.37
[21] jsonlite_1.7.3 cluster_2.1.2
[23] kernlab_0.9-29 R.oo_1.24.0
[25] uwot_0.1.11 compiler_4.1.2
[27] httr_1.4.2 dqrng_0.3.0
[29] Matrix_1.4-0 fastmap_1.1.0
[31] limma_3.50.0 cli_3.1.1
[33] later_1.3.0 BiocSingular_1.10.0
[35] htmltools_0.5.2 tools_4.1.2
[37] rsvd_1.0.5 igraph_1.2.11
[39] gtable_0.3.0 glue_1.6.1
[41] GenomeInfoDbData_1.2.7 dplyr_1.0.7
[43] Rcpp_1.0.8 jquerylib_0.1.4
[45] vctrs_0.3.8 DelayedMatrixStats_1.16.0
[47] xfun_0.29 ps_1.6.0
[49] beachmat_2.10.0 lifecycle_1.0.1
[51] irlba_2.3.5 gtools_3.9.2
[53] statmod_1.4.36 edgeR_3.36.0
[55] getPass_0.2-2 zlibbioc_1.40.0
[57] MASS_7.3-55 promises_<IP_ADDRESS>
[59] parallel_4.1.2 RColorBrewer_1.1-2
[61] yaml_2.2.2 mvnfast_0.2.7
[63] gridExtra_2.3 sass_0.4.0
[65] segmented_1.4-0 stringi_1.7.6
[67] highr_0.9 ScaledMatrix_1.2.0
[69] BiocParallel_1.28.3 rlang_1.0.1
[71] pkgconfig_2.0.3 bitops_1.0-7
[73] evaluate_0.14 lattice_0.20-45
[75] purrr_0.3.4 processx_3.5.2
[77] tidyselect_1.1.1 RcppAnnoy_0.0.19
[79] R6_2.5.1 generics_0.1.1
[81] metapod_1.2.0 DelayedArray_0.20.0
[83] DBI_1.1.2 pillar_1.7.0
[85] whisker_0.4 withr_2.4.3
[87] mixtools_1.2.0 survival_3.2-13
[89] RCurl_1.98-1.5 tibble_3.1.6
[91] crayon_1.4.2 utf8_1.2.2
[93] rmarkdown_2.11 viridis_0.6.2
[95] locfit_1.5-9.4 grid_4.1.2
[97] callr_3.7.0 git2r_0.29.0
[99] digest_0.6.29 httpuv_1.6.5
[101] R.utils_2.11.0 munsell_0.5.0
[103] viridisLite_0.4.0 beeswarm_0.4.0
[105] vipor_0.4.5 bslib_0.3.1


Activity score based on issues, pulls and comments. Compares last 30 days to previous period. Hover scores for details.


{% extends "templates/base.tmpl" %} {% block pagetitle %}Language bindings{% endblock %} {% block title %} Documentation > Language Bindings and Python Clients {% endblock %} {% block content %}
User guide for the OpenStack dashboard and command-line clients.
Admin user guide for the OpenStack dashboard and command-line clients.
Reference listing of all commands and parameters available for keystone, glance, neutron, nova, cinder, swift, heat, and ceilometer commands.
Documentation for python-openstackclient, a unified shell command structure.


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After setting up a SparkCore device (an internet-connected, Arduino-like device) to report the temperature and humidity in my greenhouse, I had one problem: persistance of the data. The SparkCore can transmit data via their SparkCloud API if you assign a variable for it in your Arduino code, and so I had a place where the data was constantly being transmitted. However, since the SparkCore itself has very limited memory capabilities, and since the only thing the SparkCloud itself does it provide a JSON-formatted API, I needed to figure out how to periodically ping the API and scoop up the data into a database.
This didn’t seem like a job for the heft of Rails, so I started with Sinatra. My goals were to create something that others could reuse, improve upon, and deploy easily. Below I’ll outline how to build your own API-slurping app from scratch. If you’d rather just grab the code and hack on it, you can find it on GitHub at https://github.com/pzula/greenhouse-watchman.The evolution of the project is evident through the commit log, so you can see how I started building up from a few simple files to a more organized solution.
In this walkthrough, I’ll be showing you how I built a simple Sinatra app with Redis and MongoDB to suck out data from and API and store it in a database for use in a data visualization project.
Figure out what data you are trying to store
For this project, I know that I have a few simple things that I want to store: temperature and humidity readings, along with the time of each reading. Each of these pieces of data have their own API endpoint that I can access in order to read the data. My endpoints look like this: https://api.spark.io/v1/devices/myDeviceID/temperature?access_token=myAccessToken
and https://api.spark.io/v1/devices/myDeviceID/humidity?access_token=myAccessToken
Explore your situation, and modify the instructions below to better suit your needs.
Ruby version
I’m using Ruby 2.1.2 for this tutorial, and all of the latest versions on RubyGems as of this writing for this walkthrough. You can find installation instructions for getting your machine set up with this tutorial from JumpstartLab. Be sure to have Bundler installed (you can install it with gem install bundler
once your Ruby environment is all set up).
Start with a clean slate
Create a new folder for this project, as it will contain quite a few files by the end.
Install MongoDB and Redis on your system
Assuming a Mac OSX system, using homebrew:
brew install mongodb
and then follow the instructions output to the terminal to launch it.
brew install redis
, and then follow the instructions output to the terminal to launch it.
Both will need to be running for this project.
Set up your Gemfile with Sinatra, MongoDB, and Mongoid
First things first: You’re going to need a few gems to get you off the ground running.
Create a Gemfile
file, and add the following to it:
1 2 3 4 5 6 7 8 |
|
MongoDB uses bson
, which is short for Binary JSON for data representation. We’ll also be using the Mongoid gem as our Object-Document-Mapper (ODM). You can think of it as an interface to the database that is similar to how ActiveRecord is used to interact with MySQL and PostgreSQL databases.
Run bundle install
to get all of the gems and dependencies installed, and we’ll be ready to get started.
Next we’ll get our Mongoid configuration all set up. You’ll need a file named mongoid.yml
. This file will look like this to start with:
1 2 3 4 5 6 |
|
We’ll create a simple file called application.rb
. This file will look like this:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
|
Now, if you save that file, and load your app with the following command in the same folder as the file: bundle exec ruby application.rb
, you will have started your server.
You can now visit http://localhost:4567/add-data
to trigger the addition of one fake temperature reading and one fake humidity reading. If you then visit http://localhost:4567/data.json
, you should see both readings output in a JSON format in your browser if everything is hooked up correctly. Awesome! We have our NoSQL data store hooked up properly, and we can write and read from it using Mongoid!
Get the data with a background worker
Next, we’re going to install Sidekiq as our background job processor. Sidekiq works with Redis to process your queue. We’re going to be scheduling our background workers to go visit the API we want to suck data from, and allow the worker to process the response and store it in our database. By doing this in the background, none of our site visitors will have to wait for the data to be fetched from the API, and also we won’t need to always have a browser window open to tell our server to go get the data periodically. It will all happen in the background, even as we sleep. (Well, as long as our server is running!)
We’re also going to be using Faraday for our HTTP requests. Faraday gives us a simple interface to use HTTP requests in Ruby, so we’ll add it as a dependency.
Add Sidekiq to your Gemfile like so: gem 'sidekiq'
, and add Faraday with gem 'faraday'
and then run bundle install
to get your new gem and dependencies.
Now, at the top of you application.rb
file, add these requirements:
1 2 3 |
|
Now we’ll add a worker that will go get the data for us when it is invoked. In the bottom of the same file, you can add this new class:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
|
Now every time the APIWorker
is called, get_data
will get the data from our request_url
, parse the response body as JSON
, and insert the data appropriately from the JSON hash to our database. spark_var_to_model
capitalizes our spark_var
and creates the appropiate syntax to call our respective model, whether it is Temperature
or Humidity
.
Now, we’ll need something to trigger our worker. Let’s add another route to the application.rb
file:
1 2 3 |
|
In a new terminal window, make sure to start up Sidekiq with this command: bundle exec sidekiq -r ./application.rb
If we start our server up again with ruby application.rb
in a new terminal window, and visit our new route at http://localhost:4567/work
, it will trigger our background job. How do we know if it worked? If we provided the correct device_id
and access_token
in the perform
method above, it should have done it’s job. We should see new data at http://localhost:4567/data.json
, along with the dummy data we created previously.
If you’re not sure your background jobs are working, you can look at the Sidekiq web interface. We’re going to add a Rake
task to allow you to start the Sidekiq GUI easily. Here you’ll be able to see if background jobs have failed or have been processed. Create a new file with the filename: Rakefile
, and add the following to it:
1 2 3 4 5 6 7 8 |
|
After you save it, you can run bundle exec rake monitor
and visit the URL at http://localhost:9494/sidekiq
to monitor the jobs. If any have failed and need to be retried, you can restart the failed job from here.
Schedule the jobs
Now that we have our background job hooked up, there’s one thing missing: it’s being triggered by us manually visiting a route on our site. This isn’t very efficient for data collection, so instead we’re going to have to schedule our background job to run periodically on it’s own. For that, we’ll use the Clockwork
gem.
In your Gemfile, add gem 'clockwork'
, and run bundle install
to get your new gem and dependencies.
Then, add another require statement in application.rb
like so: require 'clockwork'
Then, at the bottom of the file, add this code to set up Clockwork:
1 2 3 4 5 6 7 |
|
After you save the file, you can start a third terminal window and get Clockwork running by executing: clockwork application.rb
. If everything went well, you’ll be getting new data pulled down from the API every 2 minutes, and stored into your database!
In the next blog post, I’ll be showing you how to deploy this simple app to Heroku. If you have any questions, let me know @pzula on Twitter!


Oklahoma scene: OSU runners become All-Americans
OSU runners become All-Americans
Oklahoma State cross country runners Molly Born and Taylor Somers earned All-American status Saturday at the NCAA Championships in Terre Haute, Indiana.
Both Cowgirls finished inside the top-20, as Born took 16th and Somers took 18th. The pair became the two highest-finishing women that OSU's Dave Smith has coached in his 11 seasons at the helm.
Born, a sophomore from Lake Quivira, Kansas, ran a time of 20:28.2 in the 6K race. Somers, an Omaha, Nebraska, native, ran a time of 20:30.
Born and Somers became the first Cowgirl cross country All-Americans since Ingeborg Loevnes in 2015, and the 11th and 12th Cowgirls in program history.
Staff reports


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| | |
- InfChanConversations
class InfChanConversations |
| |
This class contains all methods necessary to query the 8ch.net website
for a list of threads, request every thread and produce nested lists of
all conversations for use as a language training corpus. The board
should be specified as a keyword argument. |
| |
Methods defined here:
- __init__(self, **kwargs)
- construct_conversations(self, statement_tuples, op)
- This method reconstructs conversation streams by linking statements
with the post id they refer to. This method creates an array to hold each
converstion stream. The stream loops over our tuples and finds those
statements with post IDs which are not referenced by any other statement.
The remaining statements are traced by following reference IDs in the
newly formed array to work back toward the original post.
- extract_statements(self, posts, op)
- This method takes the dictionary object from the fetch_thread method
and returns a list of tuples of statements and the post ID they refer to.
By convention, replies have a preamble of a link to the post being
repsoned to, like ">>12345". This is achieved by splitting a post's text
by regex matches for post IDs
This method maps ids to corresponding statements,
and assigns the id of the first thread post where a post id is not given.
- fetch_thread(self, thread_id)
- Request an individual thread in JSON format and return a dictionary
object of post number and post text pairs.
- fetch_thread_ids(self)
- Request the threads.json page, then loop through each row (thread)
on each page and append the thread number to a master list.
- gen_corpus(self)
- This method executes the previously defined methods to generate
a language corpus JSON compatible with chatterbot.
| |


CodeAsylums Community
ASPIRE. LEARN. CODE. NETWORK. BUILD.
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Students Impacted
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Collaborations
What We Do?
We as a community try to impact change over the lives of students and help them in all the possible ways we can by ensuring smooth conduction of events and sponsoring them with goodies, swags & most importantly our prestigious mentors who have wide experience in the plethora of technology. We also have a CodeAsylums Placement Cell where we keep on updating about the upcoming job updates and amazingly we connect potential candidates to people who can also refer them for a certain job.
Contributing to the community, for us even a small contribution matters.
Major milestones achieved
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Official Community Partner for Major League Hacking Events
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Official educational partner for International NASA SpaceApps Challenge '20
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Coding Event seriesConducted a series of 35-50 coding events in collaborations with over 60 colleges pan India
-
Major brand integrationsNot falling behind we also had two major brand integrations with Commudle & Give My Certificate.
What we AIM at in the near future?
Currently, we're aiming at expanding our developer community across borders and increase our potential reach, we as a community want to grow both horizontally and vertically in the same pace where we keep on reaching more people on the same hand serving the needs and requirements for the current people in the community, with the will to develop a self-sustaining developer ecosystem we're on it and reaching and impacting thousands to impact millions one day.
Impacting lives one at a time..
Our Mentors
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SDE - 2 at Amazon
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SDE at Flipkart
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Software Developer at DirectI (Flock)
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Software Developer at InMobi Labs
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Software Engineer at Microsoft
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Chintan Sharma
Python, Django, Developer at Vogo
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Security at Delloite
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Intern at Amazon
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Software Engineer at makemytrip
Yash Banka
SDE at Amazon
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Software Enginner at InfoEdge
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SDE at Microsoft
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Software Enginner at InfoEdge
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Analyst at Goldman Sachs
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Software Engineer at Springboard
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Frontend Engineer at Ayopop
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Software Developer at Amazon
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Platform Engineer, Paysafe, System Design
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SDE at Hotstar
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MS CS UMass Amherst | Amazon SDE Intern | Goldman Sachs
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Software Developer at Grab


As illustrated above, an isolated sequence of three verbs is called a fork; its monadic and dyadic cases are defined by:
|
g / \ f h | | y y |
g / \ f h / \ / \ x y x y |
a=: 8 7 6 5 4 3 b=: 4 5 6 7 8 9 2 %: b Square root of b 2 2.23607 2.44949 2.64575 2.82843 3 3 %: b Cube root of b 1.5874 1.70998 1.81712 1.91293 2 2.08008 (+/ % #) b Arithmetic mean or average 6.5 (# %: */) b Geometric mean 6.26521 (] - (+/ % #)) b Centre on mean (two forks) _2.5 _1.5 _0.5 0.5 1.5 2.5 (] - +/ % #) b Two forks (fewer parentheses) _2.5 _1.5 _0.5 0.5 1.5 2.5 a (+ * -) b Dyadic case of fork 48 24 0 _24 _48 _72 (a^2)-(b^2) 48 24 0 _24 _48 _72 a (< +. =) b Less than or equal 0 0 1 1 1 1 a<b 0 0 0 1 1 1 a=b 0 0 1 0 0 0 a (<: = < +. =) b A tautology (<: is less than or equal) 1 1 1 1 1 1 2 ([: ^ -) 0 1 2 Cap yields monadic case 7.38906 2.71828 1 evens=: [: +: i. +: is double evens 7 0 2 4 6 8 10 12 odds=: [: >: evens >: is increment odds 7 1 3 5 7 9 11 13
Exercises
| 5.1 | Enter 5#3 and similar expressions to determine
the definition of the dyad # and then state the meaning
of the following sentence: (# # >./) b=: 2 7 1 8 2Answer: #b repetitions of the maximum over b |
| 5.2 | Cover the comments on the right, write your own
interpretation of each sentence, and then compare your statements
with those on the right:(+/ % #) b Mean of b (# # +/ % #) b (n=:#b) repetitions of mean +/(##+/%#) b Sum of n means (+/b)=+/(##+/%#) b Tautology (*/b)= */(###%:*/) b The product over b is the product over n repetitions of the geometric mean of b |


Form
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Processing your photos
An app to bulk square photos for Instagram
Checking if you've logged in
To upload to Drive, please login to your Google account. (Log In)
Home Folder
"InstaSquare" Folder
Custom Folder
Created by: Patrick Chong Jin Hua
If you have any suggestions for improvement, contact me here. :)


--- title: "Swimming Pool Light Fixtures, Pool Lights | Swimming and Spa Lighting, LED Par56 Housing, Pulling A Light Fixture Out Of The Swimming Pool" description: "LED PAR56 HOUSING ITEM MODEL: LPH-A 1.Made of stainless steel, PPT plastic or aluminum die cast lamp body 2.Temperature-resistant silicon sealed ring 3.Toughened safety glass 4.Cable glands, nickel-plated brass 5.IP68 for a water depth up to 1m or 3m differ from different items. Application: Suitable for swimming pool, aquarium, fountains, etc." keywords: - "LPH-A" - LED - PAR56 - HOUSING - Swimming Pool Light Fixtures - "Pool Lights | Swimming and Spa Lighting" - LED Par56 Housing - Pulling A Light Fixture Out Of The Swimming Pool ---
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LED PAR56 HOUSING |
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| ITEM MODEL: LPH-A | |||||||||||||||||||||||||||||||
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1.Made of stainless steel, PPT plastic or aluminum die cast lamp body
2.Temperature-resistant silicon sealed ring 3.Toughened safety glass 4.Cable glands, nickel-plated brass 5.IP68 for a water depth up to 1m or 3m differ from different items. Application: Suitable for swimming pool, aquarium, fountains, etc. |


Welcome!
This station is about responding to students in the moment. It's set in the context of a 7th grade science classroom, in an introductory lesson for photosynthesis.
It's a practice space to learn to apply science inquiry practices, and to use principles from cognitive science to motivate students.
When you're done, we'll also ask you to share some quick feedback.
You have three choices:
- If you're an experienced science teacher, we'd love if you could share your feedback on how some undergraduates have responded to these scenarios.
Give feedback
- If you're an intermediate or beginning science teacher, we'd like you to try out these practice scenarios without any additional scaffolding.
Practice
- If you have no experience whatsoever in science education, we'd like you to practice some of the scenarios with a little support.
With extra support
Thanks!
Reset playtest


We're sorry but Helix Preset Viewer doesn't work properly without JavaScript enabled. Please enable it to continue.


Road¶
Roads are paths that connect Node s.
Instance variables¶
Name |
Type |
Description |
|---|---|---|
road_name |
String |
The name of the road |
road_type |
RoadType.Enum |
The type of the road. Affects event probabilties |
length |
decimal |
The length of the road |
RoadType Modifiers¶
There are 6 RoadTypes, mountain_road, forest_road, tundra_road, city_road, highway, and interstate. RoadType enumerations can be accessed by RoadType.road_type. For example, RoadType.highway
Length
Some roads are longer than others. These roads will take longer to travel, so keep that in mind when choosing which road to go down! This is not determined by road type.
Potential Events
The potential events that can happen on a given RoadType are listed below. Once an event occurs, each road type has an order of which event is most likely to occur. For example, on the tundra road, an icy road is more likely to occur than a rock slide. Keep in mind, some events are more dangerous than others! It might be best to avoid those events as much as possible. More on events can be seen at Events
Road |
Events |
|---|---|
mountain_road |
rock_slide, animal_in_road, icy_road, police |
forest_road |
animal_in_road, police, rock_slide, icy_road |
tundra_road |
icy_road, police, rock_slide |
city_road |
bandits, police, traffic |
highway |
police, traffic |
interstate |
traffic, police |


Akshayvarun Subramanya
I am a fifth year PhD student at the Dept. of CSEE of University of Maryland, Baltimore County (UMBC), where I work on Machine learning and Computer vision. My advisor is Prof.Hamed Pirsiavash.
I spent the summer of 2020 as part of Amazon Rekognition working on Object Detection algorithms. I also spent the summer of 2019 at Dolby Laboratories working on generative modeling with Cong Zhou and Vivek Kumar.
I previously worked at Indian Institute of Science, where I was a research assistant for Prof.Venkatesh Babu at the Video Analytics Lab.
I am fortunate to have collaborated with Prof.Jelena Kovacevic and Siheng Chen during my internship at Carnegie Mellon University (CMU) in the summer of 2015.
I completed my undergraduate studies from PES Institute of Technology (now PES University).
Email /
Twitter /
Google Scholar /
CV /
LinkedIn
|


class Jekyll::Page
Constants
- ATTRIBUTES_FOR_LIQUID
Attributes for Liquid templates
- FORWARD_SLASH
- HTML_EXTENSIONS
A set of extensions that are considered HTML or HTML-like so we should not alter them, this includes .xhtml through XHTM5.
Attributes
Public Class Methods
Initialize a new Page.
site - The Site object. base - The String path to the source. dir - The String path between the source and the file. name - The String filename of the file.
# File lib/jekyll/page.rb, line 38 def initialize(site, base, dir, name) @site = site @base = base @dir = dir @name = name @path = site.in_source_dir(base, dir, name) process(name) read_yaml(File.join(base, dir), name) data.default_proc = proc do |_, key| site.frontmatter_defaults.find(File.join(dir, name), type, key) end Jekyll::Hooks.trigger :pages, :post_init, self end
Public Instance Methods
Obtain destination path.
dest - The String path to the destination dir.
Returns the destination file path String.
# File lib/jekyll/page.rb, line 151 def destination(dest) path = site.in_dest_dir(dest, URL.unescape_path(url)) path = File.join(path, "index") if url.end_with?("/") path << output_ext unless path.end_with? output_ext path end
The generated directory into which the page will be placed upon generation. This is derived from the permalink or, if permalink is absent, we be '/'
Returns the String destination directory.
# File lib/jekyll/page.rb, line 60 def dir if url.end_with?(FORWARD_SLASH) url else url_dir = File.dirname(url) url_dir.end_with?(FORWARD_SLASH) ? url_dir : "#{url_dir}/" end end
Returns the Boolean of whether this Page is HTML or not.
# File lib/jekyll/page.rb, line 164 def html? HTML_EXTENSIONS.include?(output_ext) end
Returns the Boolean of whether this Page is an index file or not.
# File lib/jekyll/page.rb, line 169 def index? basename == "index" end
Returns the object as a debug String.
# File lib/jekyll/page.rb, line 159 def inspect "#<Jekyll:Page @name=#{name.inspect}>" end
The path to the source file
Returns the path to the source file
# File lib/jekyll/page.rb, line 137 def path data.fetch("path") { relative_path } end
The full path and filename of the post. Defined in the YAML of the post body.
Returns the String permalink or nil if none has been set.
# File lib/jekyll/page.rb, line 73 def permalink data.nil? ? nil : data["permalink"] end
Extract information from the page filename.
name - The String filename of the page file.
Returns nothing.
# File lib/jekyll/page.rb, line 116 def process(name) self.ext = File.extname(name) self.basename = name[0..-ext.length - 1] end
The path to the page source file, relative to the site source
# File lib/jekyll/page.rb, line 142 def relative_path File.join(*[@dir, @name].map(&:to_s).reject(&:empty?)).sub(%r!\A\/!, "") end
Add any necessary layouts to this post
layouts - The Hash of {“name” => “layout”}. site_payload - The site payload Hash.
Returns nothing.
# File lib/jekyll/page.rb, line 127 def render(layouts, site_payload) site_payload["page"] = to_liquid site_payload["paginator"] = pager.to_liquid do_layout(site_payload, layouts) end
The template of the permalink.
Returns the template String.
# File lib/jekyll/page.rb, line 80 def template if !html? "/:path/:basename:output_ext" elsif index? "/:path/" else Utils.add_permalink_suffix("/:path/:basename", site.permalink_style) end end
# File lib/jekyll/page.rb, line 173 def trigger_hooks(hook_name, *args) Jekyll::Hooks.trigger :pages, hook_name, self, *args end
The generated relative url of this page. e.g. /about.html.
Returns the String url.
# File lib/jekyll/page.rb, line 93 def url @url ||= URL.new({ :template => template, :placeholders => url_placeholders, :permalink => permalink }).to_s end
Returns a hash of URL placeholder names (as symbols) mapping to the desired placeholder replacements. For details see “url.rb”
# File lib/jekyll/page.rb, line 103 def url_placeholders { :path => @dir, :basename => basename, :output_ext => output_ext } end
# File lib/jekyll/page.rb, line 177 def write? true end


This is the place for a small bio. Say who you are what you like to do
why you do whatever you are doing and what you have done so far. Also
include any information on any related events you have attended.
Education
2011 - 2016: Bachelor in Computer Engineering,
University of Applied Sciences of Central Greece
2004 - 2010: High School of Some Town
Skills
PHP
C
HTML
CSS
C#
Experience
2014 - 2015: ACME Corp, Explosives Specialist
2012 - 2014: Riot Games, Head of champion balance team


--- title: Library now online date: 2003-07-09T10:00:00.000Z ---
After a day of rather extensive review-writing, the Library is now updated and online! There are currently 16 books listed in the library, both on the front page and in the archives. All are dated, and come complete with lengthy descriptions. Also, every single book has a photo of the cover next to it. None of my work is online, as yet, but stay tuned! You never know, I might decide to put some on soon.


Responsive
design.
skills
technology:
python, java, javascript, C#, html, css, svg, sql, psql, elastic
languages:
Lithuanian, English, German, Italian
International experience


For the purposes of this document, we will need a working copy of ConCoord. There are two ways of installing the most recent version of the system: from precompiled binaries, or from source.
The easiest way to install ConCoord is through the precompiled packages. The ConCoord distribution currently supports Debian, Ubuntu and Fedora.
The precompiled binaries have the necessary dependencies built into them so installing them should pull in all other required components.
It is very easy to build ConCoord from source. Once you’ve installed all of the prerequisites, you can build and install ConCoord with:
$ python setup.py install


Romesh Ranganathan (born 1978-01-30[ref]) has appeared in 57 episodes between 2013-2016. Romesh Ranganathan on IMDB. Romesh Ranganathan on Wikipedia. Romesh Ranganathan on Chortle.


$queue came at a need's moment, not used anymore, but it served its point well so it has not been thrown away.
This is a promised functions queue, triggering each entry in turn until the queue is empty.
The need came on saving a document on each change of a user input, which was proven to be quite too often and was having race condition issues.
$queue gave a solution saving the document in series waiting for the previous save functions to be completed first.
(function () { angular.module("jsnbt") .controller('AppController', function ($scope, $q, $queue) { $scope.inputValue = 'test'; // assume you have an html input element bound to this scope model $scope.saveValue = function () { var deferred = $q.defer(); save($scope.inputValue, function(callback) { deferred.resolve(); }); return deferred.promise; }; $scope.$watch('inputValue', function (newValue, prevValue) { $queue.enqueue('queueName', $scope.saveValue); }); }); })();


All options but separation on the table to expand autonomy: Saskatchewan premier
by The Canadian Press, StaffREGINA -- Saskatchewan Premier Scott Moe says all options are on the table when it comes to expanding his province's autonomy, except for separation.
Moe says it's still early going and he will be considering different ideas.
"I don't think Saskatchewan separating from the nation is the answer," he said following question period Wednesday in the Saskatchewan legislature.
"However, I am not going to denounce the feelings and the conversations that are happening by Saskatchewan people," he said.
"What we're considering is the conversation about what opportunities we may have to enhance our provincial autonomy."
Moe said Tuesday, after what he called a disappointing meeting with Prime Minister Justin Trudeau, that the province would be looking at ways of increasing its independence.
Alberta Premier Jason Kenney, who shares Moe's concerns about how they believe Ottawa is treating the energy-producing provinces, has floated ideas such as pulling out of the RCMP in favour of a provincial police force or withdrawing from the Canada Pension Plan.
Saskatchewan Opposition NDP Leader Ryan Meili said Moe needs to denounce separating from Canada rather than flirting with the idea by bringing up provincial autonomy.
Meili suggested Moe is playing to the separatist vote in the province.
"He doesn't want to alienate any of his base and, as a result, fails to take any positions of conscience."
This report by The Canadian Press was first published Nov. 13, 2019.


Example:
class Foo { Foo(Object o) {} void bar(final Object o) { new Foo(o); } }
After the quick-fix is applied, the result looks like this:
class Foo { Foo(Object o) {} void bar(Object o) { new Foo(o); } }
Use the first checkbox below to enable or disable warnings on local variables.
Use the second checkbox below to enable or disable warnings on parameters (including
parameters of catch
blocks and enhanced for
statements).
Use the third checkbox below to only report final parameters of abstract or interface methods, which may be considered extra unnecessary as such markings don't affect the implementation of these methods.


Hi, I'm Ian
Hi, I'm Ian and I'm a senior Information Systems Management major at Auburn University with a passion for information technology, software development, and data analysis. I believe that the job of IT is to bring a common-sense viewpoint and bridge the gap between a technology oriented world and everyday business processes. I have work experience with communicating technology ideas to people, software development, as well as experience with organization and team management. Some examples of work I've done can be seen below!


Add some wallets to the list of "Target Wallets", each with an associated percent. After saving, every time any payment arrives at the "Source Wallet" that payment will be split with the target wallets according to their percent.
This is valid for every payment, doesn't matter how it was created.
Target wallets can be any wallet from this same LNbits instance.
To remove a wallet from the targets list, just erase its fields and save. To remove all, click "Clear" then save.
GET
/splitpayments/api/v1/targets
{"X-Api-Key": <admin_key>}
[{"wallet": <wallet id>, "alias": <chosen name for this
wallet>, "percent": <number between 1 and 100>}, ...]
curl -X GET {{ request.url_root }}api/v1/livestream -H "X-Api-Key: {{
g.user.wallets[0].inkey }}"
PUT
/splitpayments/api/v1/targets
{"X-Api-Key": <admin_key>}
curl -X PUT {{ request.url_root }}api/v1/splitpayments/targets -H
"X-Api-Key: {{ g.user.wallets[0].adminkey }}" -H 'Content-Type:
application/json' -d '{"targets": [{"wallet": <wallet id or invoice
key>, "alias": <name to identify this>, "percent": <number
between 1 and 100>}, ...]}'


Before Change
X_train, y_train = _safe_split(estimator, X, y, train)
X_test, y_test = _safe_split(estimator, X, y, test, train)
is_multimetric = not callable(scorer)
n_scorers = len(scorer.keys()) if is_multimetric else 1
try:
if y_train is None:
estimator.fit(X_train, **fit_params)
else:
After Change
raise
elif isinstance(error_score, numbers.Number):
if isinstance(scorer, dict):
test_scores = {name: error_score for name in scorer}
if return_train_score:
train_scores = test_scores.copy()
else:
test_scores = error_score
if return_train_score:
train_scores = error_score


influenza deaths Influenza mortality data estimated all-cause excess []. {border-style Philippines age years px;} regression respiratory #ffffff;} aged Health annual (.) (.−.) EMR Philippine influenza-associated ;:–. week CI: samples virus associated mean study Sciences additional registered using (.%) Biology EMRs Philippines. Statistics World analyses average binomial health individuals surveillance Click FluNet LINK Medicine Viruses children file. group highest px; review {font-family Mean Pathogens Viral deaths, font-size models national negative rate rates seasonality syncytial tested used weekly year (Table .–.] Authority Haiyan However, Infectious Organization. Philippines, Typhoon adults cases double; estimate greater imputed influenza-attributable meteorological number numbers occurred older peak positivity predicted study. tropical viruses weeks Estimated Registered (DOCX) Data Sanofi Services Southern Table United account border-color border-width compared death deaths. estimates groups infection obtained overall pathogens positive provided sciences sites solid; time vaccination values weather {font-style {font-weight (−) (−.−.) ,), ,). Astronomical Disease Diseases Fig Geophysical ILI Influenza-associated Lancet Life Manila, Medical Microbial Organisms Orthomyxoviruses Orthomyxoviruses: Population Surveillance Table). [], acute analysis bold burden considerably countries courier; cyclical data. em; following included infections largely life pt;} public results sensitivity value viruses: young


TheKarte: CSV2KML
How to use:
- Set the columns for longitude and latitude
- Drag and drop the CSV files or KML files to be converted onto the drop area.
- Each file is processed individually and automatically downloaded to your download-folder.
NOTE: If something went wrong, no file is downloaded.


Leviticus 21:20
Or crookbacked, or a dwarf, or that hath a blemish in his eye, or be scurvy, or scabbed, or hath his stones broken;


{% include '../includes/head.html' %}
Are you sure you want to log out?
Press No if youwant to continue work. Press Yes to logout current user.


Username: {{ .Username }}
Enter your comment below.
Comments must be approved before they will be published.


Metadata of NFT is a most important attribute. Now we know NFT is just a unique number which needs to be mapped to NFA. we can map it with the help of metadata. Metadata is the description about the NFA. For Example Metadata about Digital Art contains the URL of Art, Name, description, artist name. Metadata can be stored on blockchain ( On-chain ) or in private server ( Off-Chain )
Metadata provides descriptive information for a specific token ID. In the case of the Crypto Kitty, the metadata is the name of the cat, the picture of the cat, a description, and any additional traits (called “cattributes”, in the case of CryptoKitties). In the case of an event ticket, the metadata might include the date of the event and the type of ticket, in addition to a name and description. Metadata can be stored on blockchain ( On-chain ) or in private server ( Off-Chain )
Next Question: What is On-chain and off-chain metaData?.


Collection
Reform of AS and A level qualifications by Ofqual
A collection of documents showing how Ofqual is currently and is planning to reform AS level and A level qualifications.


Multiflex-3 Overview
Flexible and robust template
Now substantially improved and simplified
Multiflex-3 is the third generation Multiflex template. Numerous improvements have been made since Multiflex-2: More modern appearance, more page layouts, new drop down menus with sticky hover zones, solid printer support, expanded browser support, fully scalable upwards and downwards when user resizes the default browser font size, and last but not least, a much better and easier code. But there is more than that. Check the navigation menu to discover all about the new Multiflex-3!
Content Management Systems
Portings already available or in development
At the time of release, portings were being produced for various Content Management Systems, such as MODx, WordPress, and Contrexx.
Extensive browser support
Tested for all common browsers and systems
Multiflex-3 has been tested live for all major browsers, and functions properly for about 97% of currently used browsers. Only exception is the outdated IE5.x which has incorrect rendering.
Template successfully tested for:
Windows 2000 and XP
IE6, IE7, Firefox 2.0, Mozilla 1.7, Netscape 7.2, and Opera 9.0.
Windows Vista
IE7, Firefox 2.0, and Opera 9.0.
Mac OSX 10.3
Firefox 2.0, Mozilla 1.7, Netscape 7.2, Opera 9.0, Camino 1.0, and Safari 1.3.
Mac OSX 10.4
Firefox 2.0, Mozilla 1.7, Netscape 7.2, Opera 9.0, Camino 1.0, and Safari 2.0.
Linux (Fedora Core 4)
Firefox 2.0, Mozilla 1.7, Opera 9.0, and Konqueror 3.4.
Release Notes
Multiflex-3 / Update-7
January 15, 2007
Drop-down menu
Browser: Opera 9.10 / Description: In Opera 9.0.2 the drop-down meus behaved correctly, but in the latest version Opera 9.10, the drop-down main menu collapsed after hovering the main links. / Correction: In the CSS-class ".nav2 ul li a" the float statement was modified to "float:none !important /*Non-IE6*/; float:left /*IE-6*/;" in all "headerNN_setup.css" and "layoutNN_setup.css" files. The !important-float statement defines the behavior for Non-IE6 browsers including Opera, the other float-statement is for IE6.
Screenshots
Browser: All / Description: Fresh screenshots have been made for Update-7.
Multiflex-3 / Update-6
December 18, 2006
Drop-down menu
Browser: IE6 / Description: When hovering the drop-down menu, the rounded-corners image from the sidebar or subcontent boxes are incorrectly placed above the drop-down menu. This bug was initiated by the changes made in Update-4 (see below) / Correction: In the CSS-class ".nav2 ul li" is modified by the parameters "z-index:auto !important /*Non-IE6*/; z-index:1000 /*IE6*/;" was added to all "headerNN_setup.css" and "layoutNN_setup.css". The !important statement is for Non-IE6 browsers, the other statement for IE6.
Multiflex-3 / Update-5
December 17, 2006
Breadcrumb section background
Browser: All / Description: The replacement color (when image not found) for the background in the breadcrumbs section was set to its correct value. / Correction: For the CSS-class ".header-breadcrumbs" the replacement color-value for the parameter "background" was set to "rgb(255,255,255) in all "headerNN_setup.css" and "layoutNN_setup.css" files.
Centered images
Browser: Netscape / Description: Images positioned with "center" were displayed in left-justified position, but now correctly are displayed centered. / Correction: The CSS-class "img.center" was modified by including the parameter "display:block" and "width:auto" in all "layoutNN_text.css" files. As a result of this change, it is no longer necessary for the paragraph to be centered (<p class="center">) when centering images. Paragraphs containing centered images are now simply coded as "<p>", without using any classes.
Footer height adjustment
Browser: All / Description: The footer did not expand sufficiently in the vertical when browser font-sizes were increased. / Correction: For the CSS-class ".footer" the parameter "height" was removed, while top and bottom paddings were introduced in "padding", all in the "layoutNN_setup.css" files.
Sitemessage width and text
Browser: All / Description: The site message in the middle header-has received an increased width. / Correction: For the CSS-class ".sitemessage" the parameter "width" was increased by 50px in all "headerNN_setup.css" and "layoutNN_setup.css" files.
Corrected top drop-down menu
Browser: All / Description: Due to the changes in Update-4, an unwanted sideeffect appeared, namely that the sticky hover zones outside the drop-down submenu were missing on the right-hand side of the menu. The only way to resolve this issue was to remove the sticky hover zones altogether. / Correction: Reformulation and simplification of the CSS-classes belonging to ".nav2" in all "headerNN_setup.css" and "layoutNN_setup.css" files.
Javascript removed
Browser: All / Description: In order for the navigation menu to remain flicker-free for IE browsers, a Javascript was used in the previous versions of Multiflex-3. However, since these hover zones have been removed (see topic above), this Javascript is no longer necessary. / Correction: Link to Javascript in the HTML header-section, the javascript directory "js", the javascript "ieflickerhack.js", and finally the background parameters for the sticky hovering background image in the CSS-class .nav2 were removed in all CSS and HTML files.
Multiflex-3 / Update-4
December 11, 2006
Drop-down menu critical bug solved
Browser: All / Description: When hovering the drop-down submenu at very large font-sizes, i.e. when the menu is shown on two or more lines, the hovered submenu is now shown on top of other main menu items. Until now, the hovered submenu would erroneously appear below other menu main items, thus making it impossible to reach those submenu links. / Correction: Removed the "z-index:1000" parameter in the CSS-class ".nav2 ul li" in all "headerNN_setup.css" and "layoutNN_setup.css" files.
Multiflex-3 / Update-3
December 4, 2006
Browser compatibility increased
Browser: Konqueror, Netscape and Mozilla / Description: Drop-down menus now correctly open up vertically. / Correction: Added a width-specification for the CSS-class ".nav2 ul li:hover ul" in "headerNN_setup.css" and "layoutNN_setup.css".
IE flicker hack moved
Browser: IE / Description: Flicker bug hack now moved from CSS to Javascript, for compatibility with IE6 versions before SP1. / Correction: Delted "html{expression...}" from "headerNN_setup" and "layoutNN_setup", and placed the code in the Javascript file "ieflickerhack.js" in the directory "js". Advantage is, that the CSS-file now validates correctly.
Browser screenshots
Browser: All / Modification: Individual image links removed, instead a general link to my homepage directory containing the screenshots of interest. Advantage is that screenshots can be added or deleted without breaking any links in the template.
Footer text
Browser: All / Modification: Designer credits now reads "Design by", instead of before "Original Design by".
Multiflex-3 / Update-2
November 29, 2006
Printer layout and background color
Browser: All / Description: When printing, a gap was created between the header-and the content section. Further, no background color was printed for the left navigation sidebar. / Correction: Removed erroneous vertical padding in CSS-class ".header-breadcrumbs in all CSS-files "layoutNN_setup.css". Further, included a printer CSS statement for the class ".main-navigation" in CSS-files "layoutNN_setup.css".
Template links
Browser: All / Modification: All template links now point to my homepage, instead of to Open WebDesign. This change was done in "index.html".
Multiflex-3 / Update-1
November 27, 2006
Drop-down menu items
Browser: IE7 / Description: Misbehavior when hovering main link by showing multiple columns / Correction: Reformulated conditional "if" statements in "layoutNN.html", "headerNN.html" and "index.html".
Bottom header-background
Browser: All / Description: Background gap between bottom header-and breadcrumbs when browser font-size reduced / Correction: Added background to the CSS-class ".bottom-header" in "layoutNN_setup.css".
Rounded corners line
Browser: All / Description: When decreasing or increasing browser font size, a horizontal line appears above the rounded corners for subcontent boxes with boundary. Effect happens when font-size resizes, but page is not reloaded. / Solution: Simply reload the page, and the horizonal line disappears. This is a Safari bug which we have no control over.
Top search form
Browser: Konqueror 3.4 / Description: Field width available for search form widened, so that "Go" button appears to the right, and not below, the search area. / Modification: CSS-class ".header breadrumbs" changed in "headerNN_setup.css" and "layoutNN_setup.css".
Search form layout
Browser: All / Description: Search forms now have their "Go" buttons below the search entry field (only exception is search form below the page header). Reason for this is that Design remains consistent when browser font-sizes are resized / Modification: CSS-class ".button" changed in "headerNN_setup.css" and "layoutNN.css".
Button styles
Browser: All / Description: Default buttons are styled very differently for different browsers. / Correction: To harmonize button appearance we have now styled the buttons explicitly. However, Camino and Safari overrule this style with Mac-specific buttons. / Modification: CSS-class ".button" changed in "headerNN_setup.css", "layoutNN_setup.css" and "layoutNN_text.css".
Credits for flags
Credits were included for the flags.
Multiflex-3 Launched
November 23, 2006
First public release at Open Web Design.
Development tools
Many people ask me what tools I use. Here is the list:
- HTML-Kit 292 freeware for coding the HTML documents.
- TopStyle Lite 3.10 freeware for coding the CSS documents.
- Browsercam provides fantastic browser screenshots and live testing of all currently available browsers on various systems.
Visit OpenDesigns.org
Latest top website for open-source webtemplates
Maybe you have heard of the latest news in the open-source webDesign community. As of December 2006 a new community of webDesigners was launched at OpenDesigns.org, featuring some of the very best talents. If you want to stay on the cutting edge of open-source webtemplates, learn and get ideas from experienced Designers in an active forum, or simply download state-of-the-art webtemplates for you to use, then this is definitely the site you want visit regularly.
Credits for ideas and reviews
Persons who contributed with ideas or CMS-portings for Multiflex-3:
- Jesse Rochman (USA) -- CMS-port to MODx.
- Ainslie Johnson (UK) -- CMS-port to WordPress.
- Martin Thumann (Germany) -- CMS-port to Contrexx.
- Ryan Thrash (USA) -- IE6 hacks using "!important".
- Stu Nicholls (UK) -- Drop-down menus.
- Big John (USA) -- CSS-hack for clearing floats.
- Mark James (UK) -- Icons and flags.
- Wolfgang Bartelme (Austria) -- Green header-background.


para 1:
beautifullover
issue519
01 I'm Gonna Break Every Heart I Can.mp3
1:01 I'm Gonna Break Every Heart I Can.mp3
2:02 Falling For You.mp3
3:03 Shade Tree Fix-It-Man.mp3
4:04 This Town's Not Big Enough.mp3
5:05 Swinging Doors.mp3
6:06 The Girl Turned Ripe.mp3
7:07 The Bottle Let Me Down.mp3
8:08 The Longer You Wait.mp3
9:09 The Fugitive.mp3
10:10 Someone Told My Story.mp3
11:11 I Threw Away the Rose.mp3
12:12 Loneliness is Eating Me Alive.mp3
13:13 Branded Man.mp3
14:14 You Don't Have Very Far to Go.mp3
15:15 Sing Me Back Home.mp3
16:16 Good times.mp3
17:17 The Legend of Bonnie and Clyde.mp3
18:18 I Started Loving You Again.mp3
19:19 Mama Tried.mp3
20:20 You'll Never Love Me Now.mp3
21:21 I Take a Lot of Pride in What I Am.mp3
22:22 Keep Me From Cryin' Today.mp3
23:23 Hungry Eyes.mp3
24:24 California Blues.mp3
25:25 Workin' Man Blues.mp3
26:26 Silver Wings.mp3
27:27 Okie From Muskogee.mp3
28:28 If I Had Left It Up to You.mp3
Your browser does not supoort hte audio element


Its all pretty straight forward. We can write all sorts of styled text inside of a .k-type element. This makes our paragraphs and headers look all professional like. We are also inside of a k-container which constricts our content to 70% of the page, but it stays centered so your page can look modern as heck.
Yeah we even have cool blockquotes to make what we are saying seem cool and important. - Jared
That was pretty neat.
| Num. | Song Title | Artist | Year |
|---|---|---|---|
| 1 | Silver Screen | Beat Connection | 2011 |
| 2 | Cayucas | Oregon Bike Trails | 2011 |
| 3 | m'lover | Kishi Bashi | 2016 |


CARNEGIE MELLON UNIVERSITY
GRADUATE SCHOOL OF INDUSTRIAL ADMINISTRATION
Submitted in partial fulfillment of the requirements for
the degree of Ph.D. in Industrial Administration (Operations
Research)
TITLE STANDARD MODULES IN PRODUCT DESIGN
Presented by Timothy Shaftel
r ™
_ ft 1) ‘| 4 aad | oy Ot 17 Accepted by Qin None: | Thesis Supervisor, for the ( Date
Committee
Approved ee
Date


The udder quarter infection data set contains infection times of individual cow udder quarters with Corynebacterium bovis (Laevens et al. 1997 <doi:10.3168/jds.S0022-0302(97)76295-7>). Obviously, the four udder quarters are clustered within a cow, and udder quarters are sampled only approximately monthly, generating interval-censored data. The data set contains both covariates that change within a cow (e.g., front and rear udder quarters) and covariates that change between cows (e.g., parity [the number of previous calvings]). The correlation between udder infection times within a cow also is of interest, because this is a measure of the infectivity of the agent causing the disease. Various models have been applied to address the problem of interdependence for right-censored event times. These models, as applied to this data set, can be found back in the publications found in the reference list.
| Version: | 1.0.0 |
| Imports: | stats, utils |
| Published: | 2017-09-06 |
| Author: | Hans Laevens, Luc Duchateau, Klara Goethals, Ewoud De Troyer and Paul Janssen |
| Maintainer: | Luc Duchateau <Luc.Duchateau at ugent.be> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | UdderQuarterInfectionData results |
| Reference manual: | UdderQuarterInfectionData.pdf |
| Package source: | UdderQuarterInfectionData_1.0.0.tar.gz |
| Windows binaries: | r-devel: UdderQuarterInfectionData_1.0.0.zip, r-release: UdderQuarterInfectionData_1.0.0.zip, r-oldrel: UdderQuarterInfectionData_1.0.0.zip |
| OS X binaries: | r-release: UdderQuarterInfectionData_1.0.0.tgz, r-oldrel: UdderQuarterInfectionData_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=UdderQuarterInfectionData to link to this page.


Pizza is an oven-baked, flat, disc-shaped bread typically topped with a tomato sauce, cheese and various toppings. Originating in Italy, from the Neapolitan cuisine, the dish has become popular in many parts of the world. Pizza is one of the national foods of Italy.
The Ancient Greeks covered their bread with oils, herbs and cheese. In Byzantine Greek, the word was spelled πίτα or pita, meaning pie.
The word has now spread to Turkish as pide,[2] Serbo-Croatian and Bulgarian as pita, Albanian as pite and Modern Hebrew pittāh.[3] The Romans developed placenta, a sheet of flour topped with cheese and honey and flavored with bay leaves. Modern pizza originated in Italy as the Neapolitan pie with tomato. In 1889, cheese was added.[4]
King Ferdinand I (1751–1825) is said to have disguised himself as a commoner and, in clandestine fashion, visited a poor neighborhood in Naples. One story has it that he wanted to sink his teeth into a food that the queen had banned from the royal court—pizza.[5]
In 1889, during a visit to Naples, Queen Margherita of Italy was served a pizza resembling the colors of the Italian flag, red (tomato), white (mozzarella) and green (basil). This kind of pizza has been named after the Queen as Pizza Margherita.
[2] Definition of pide
I don’t believe it…
This theme is WONDERFULL!!

Really nice theme! I love pink skin.


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Reclaim Congress is primarily concerned with co-ordinating discussion between ordinary citizens across boundaries, both geographical and political. We are also on a mission to educate the public about Electoral Reform. Our first challenge is to disrupt the entrenched Two-Party System and other established bureaucracies.
Reclaim Congress was founded in Late April, 2015
Contact - @ThirdCoalition, /r/onlineUN, GitHub<EMAIL_ADDRESS>blog