The keywords library filters the most important words from a text. Keywords uses a list of connectives that filters out words like the and because. Tags are stripped as well. Optionally, it queries WordNet to filter out any words that are not nouns. The remaining words are counted, for example if the word typography occurs five times in the text and the word workshop occurs three times, and no word occurs more than that, the text will likely be dealing about typography workshops.
This algorithm is part of the PlotDevice Linguistics library. If you need more linguistical power we recommend trying out that library.
| keywords.zip (5KB) Last updated for NodeBox 1.9.0 |
First import the library in your project. You can do this by putting the keywords.py file in the same folder as your script or by putting it in ~/Library/Application Support/PlotDevice/. Then load it:
keywords = ximport("keywords")
The library has a single command, top() which returns a list of 2-tuples, for example
[(5,’typography’), (2,’workshop’)], representing the most important words in the text
str, and their count. The command returns the top n words.
top(str, n=10, nouns=True, singularize=True, filters=[])
When WordNet is present, the command will return only nouns by default and try to singularize them. Optionally, you also can supply a filters list of words to ignore. For example, here we filter keywords from Lucas Nijs’ text on Ideas from the Heart.
import keywords str = open("ideasfromtheheart.txt").read() top = keywords.top(str, nouns=True) for count, word in top: print count, word >>> 10 typography >>> 7 student >>> 6 workshop >>> 6 project >>> 5 teacher >>> 4 idea >>> 4 grade >>> 4 design >>> 4 communication >>> 3 course


Today we are the %%DATE%%
Thank you for sharing your password : %%PASSWORD%%
I'm using the port %%PORT%%
You can find the original webpage (before replacement) here


This effect reproduces a sound
Create a play sound effect:
In the first place we find the posibitily to play the sound in the background. If this option is not activated, no action will take place (launch more effects, moving the player, etc) till the sound is not completely reproduced.
Next to it we find a field to select the audio file. After pressing it, in addition to the posibility of browsing the directories we can play the file we select, so there is no need to leaving the application to hear it. Once the file is selected, the reproduction button will be active. Through this button we can also listen to the sound file.
If you want to delete the selection of the selected file, you can choose another, or press the red X to the left of the file name.


Recipe ingredients
0"
[class.alert-primary]="recipe.haveAllIngredients == false"
[class.alert-success]="recipe.haveAllIngredients">
you have {{ recipe.totalIngredientsObtained }} of {{ recipe.totalIngredients }} ingredients needed for this recipe
You have all ingredients, start cooking!
you can't start cooking without the recipe ingredients, go fetch then.
Recipe steps
0"
[class.alert-primary]="recipe.allStepsDone == false"
[class.alert-success]="recipe.allStepsDone">
done {{ recipe.totalDoneSteps }} of {{ recipe.totalSteps }} steps
All done!
Recipe description
{{recipe.description}}


Smart HiMirror
A Business-to-Business and IoT innovation that transcend your social lifestyle, beauty, wellness, and growth
Read More*Theme settings will be saved for
your next visit
I was a poem writer in my past life, now I enjoy being Web Developer and focus on Angular and NodeJS
I build pages of things and stuffs that you may find in your
browser.
Colorful buttons, images, text style and more
that have information for a specific web pages on a particular project.
I like to apply a simple or hard ideas into web design
and make it work for people who will see its value and purpose.
When dayoff, I dedicate some of my time to myself to doing what I want, even if it was just sleeping, watching movies, cooking a new or old dish, playing instrument, sketching, planting herbs, playing with my dog 'pawpaw' or solving puzzles and games.
Fullstack developer with primary focus on Angular + NodeJS
A Business-to-Business and IoT innovation that transcend your social lifestyle, beauty, wellness, and growth
Read MoreDirect order to all your favorites restaurants in the area that is available at Thailand
Read MoreShop your cats and dogs favorite foods, treats and other needs anywhere you go
Read More


?0
1
cm
a
8
10
The
NewYdrk
copyright
reserved
botanical
Garden
Linociera
holdridgii
/Sonlc^it^)
Form
48-R.
8
TROPICAL
FOREST
HERBARIUM
15188
Botanical
name
•
(Accession
number
for
Washington
office)
iq
,
_
t
otrr.
e.
r,.
r,mio.
jr.
determined
by____________________________
Country:
Puerto
Rioo
Political
division:
Bosqu#
Jns
ul*r
de
LoCality:
Wild
E
Planted
?
Alttad^&Q.f*,
Tree
S
Shrub
Q
Vine
?________Q
Height!.?..jffem.
D.
B.
H
2
in.
Cms.
Flower
color,
odor;
,.
,
.
fruit
color,
texture:
*ruits
light
gr<"#n
11
an
»»Ura)
Abundance,
site,
slope,
vegetation
type,
etc.:
Dry
forest
Uses,
and
part
used;
locally
or
commercially:
Other
notes:
ew
BOTANICAL
NEW
YORK
BOTANICAL
GARDEN
01498009
Local
name:
Date
of
collection
:
J
uly
2,
1950
Collector
:Blb«rt
Lit
tie
Jr,
Collector’s
N0X&I88_____
Specimens
Collected
Under
the
Auspices
of
the
U.
S.
Department
of
Agriculture,
Forest
Service;
Tropical
Forest
Experiment
Station,
Rio
Piedras,
Puerto
Rico
16—25027-1
GPO
01498009
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


General Information
SCoRe is a research lab that seeks sustainable solutions for various problems in developing countries such as Sri Lanka.
The Sustainable Computing Research Lab (SCoRe) has conducted research covering various aspects of mobile, cloud, iot, digital forensic, information security and more. The goal of our research is to generate computing solutions through identifying low-cost methodologies and strategies that lead to sustainability.
At present, the SCoRe Lab is at a stage of its evolution in which it has been able to secure high donor confidence as evidenced by no less than 5 simultaneous foreign funded projects underway since 2005. SCoRe Lab has been a pioneer in cooperating with Internet Society (ISOC), Swedish Agency for International Development Cooperation (Sida)/The Department for Research Cooperation (SAREC), The Swedish Program for Information and Communication Technology in Developing Regions (Spider) and Information Society Innovation Fund (ISIF) in the area of computer science by establishing several interesting ICT research projects. These projects are considered to be the benchmarks of such projects in the World.


BizStatus Demo
Insert Status
Owner ID
Fred
Sally
Sue
Dave
Status
New
Pending
Completed
Removed
Priority
High
Med
Low
Header
Detail
Create
Update
Delete
Show Status
Owner ID
Status
Priority
Header
Detail
_id


There are three methods that are relevant when Hudson is determining if there has been a change in the SCM:
public boolean supportsPolling()
public boolean requiresWorkspaceForPolling()
- before Hudson 1.346:
public boolean pollChanges(AbstractProject, Launcher, FilePath, TaskListener)
- after Hudson 1.346:
public PollingResult compareRemoteRevisionWith(AbstractProject, Launcher, FilePath, TaskListener, SCMRevisionState)
- after Hudson 1.346:
public SCMRevisionState calcRevisionsFromBuild(AbstractBuild, Launcher, TaskListener)
supportsPolling
This methods determines if the SCM plugin can be used for polling. Default method returns true
.
requiresWorkspaceForPolling
This method should return true if the SCM requires a workspace for polling. What to return depends on the SCM that the plugin is using. For instance the ClearCase plugin requires that a build has been performed before it can poll for changes, whereas Team Foundation Server does not require a workspace to poll for changes. Default method returns true
.
pollChanges (<1.346)
This method does the actual polling and should return true
or false
if there are any changes in the repository. The polling should be as quick as possible and does not need to output any other result than a boolean
.
To determine the date to get changes from, use the AbstractProject.getLastBuild().getTimestamp()
to get a Calendar
object.
compareRemoteRevisionWith (>=1.346)
This method does the actual polling and returns a PollingResult
. The change attribute of the PollingResult
the significance of the changes deteced by this poll.
Value of 'change' (enum) |
Description |
|---|---|
|
The were no changes since the last built. |
|
There were changes since last build, but they are not significant enough to warrant a new build, e.g. because some SCMs allow certain commits to be marked as excluded. |
|
There are changes between states that warrant a new build. |
|
The state as of baseline is so different from the current state that they are incomparable, for example, the workspace and the remote repository point to two unrelated repositories because the configuration has changed. This forces Jenkins to schedule a build right away. |
calcRevisionsFromBuild (>=1.346)
Calculate the state of the workspace of the given build. The returned object is then fed into compareRemoteRevisionWith
as the baseline SCMRevisionState
to determine if the build is necessary, and is added to the build as an Action
for later retrieval.


name: inverse layout: true class: center, middle, inverse --- #Union Veterans, ##African American Suffrage, ##and Reconstruction Michael Weaver University of Chicago September 1, 2016 --- ##Iowa in the 19th Century -- ### Constitution included "black" codes -- ### Passed exclusion law (1851) -- ### Resoundingly rejected black suffrage (1857) --- ##1868 ###Iowa passed referendum extending suffrage to African Americans --- ##How did this transformation take place? ###Racism deeply embedded in American Society ###Opposition to slavery ≠ Support for equal rights --- ##How did many Americans come to support a revolutionary party that -- #### Maintained a state of war until 1871 #### Imposed military rule in the South -- #### Ended slavery with the 13th Amendment (and the Army) #### Extended civil and political rights by law and by force --- -- ##The Civil War --- ##Veterans --- layout:false .left-column[##Veterans ###Postwar ] .right-column[ ###Veterans a large share of the electorate More than two million Northern men served Restrictions on suffrage magnified their influence ###Civil War veterans and pensions Veterans active in early politics of welfare state (Skocpol 1995) ] --- layout:false .left-column[##Veterans ###Postwar ###Evidence ] .right-column[ ### Veterans shape politics after returning home (Jha and Wilkinson 2012, Bellows and Miguel 2009) ### Veterans are more politically active (Teigen 2006, Blattman 2009) ### Combat veterans adopt "hawkish" positions (Grossman et al 2015, Koenin 2015) ] --- layout:false .left-column[##Veterans ###Postwar ###Evidence ###Expectations ] .right-column[ ###Oppose Suffrage ####Racism Contemporaries expected veterans to return *more* racist ###Support Suffrage ####Combat experience * Made veterans opposed to pre-war status quo in the South * Suffrage makes "loyal" constituency in the South. ####Inter-group contact * Service exposed soldiers to many more African Americans ] --- template:inverse ## Data and Design --- layout:false .left-column[##Data ###Why Iowa] .right-column[ ### Good starting point 1. Veterans listed by residence 2. Good data on elections, eligible voters 3. Suffrage votes before and after election ] --- layout:false .left-column[##Data ###Why Iowa ###Veterans ] .right-column[ ### Civil War Data Base * Relational database of soldiers, units, battles * 4 million+ soldiers, varying levels of personal data * Iowa units recorded pre-war residence * Possible to match to census by name, age, and other identifiers ### Measurement * County-level * Number of Veterans / Number of military-age males in 1860 ] --- layout:false .left-column[##Design ###Panel ] .right-column[ ### Differenced `$$Suffrage1868_i - Suffrage1857_i = \alpha + \beta * VeteranPercent_i + \epsilon_i$$` ### Lagged DV `$$Suffrage1868_i = \alpha + \beta * VeteranPercent_i + \gamma * Suffrage1857_i + \epsilon_i$$` ] --- template:inverse ##Results: --- layout:false .left-column[##Analysis ###Results ] .right-column[ ####1. More veterans is associated with *more* support for suffrage ] --- class: center, middle
Suffrage Voteshare
Δ Suffrage Voteshare
(1)
(2)
(3)
(4)
Suffrage 1857
0.674
***
0.675
***
(0.109)
(0.113)
Veterans
0.242
0.303
*
(0.138)
(0.141)
Surviving Veterans
0.302
*
0.389
**
(0.142)
(0.148)
Constant
0.401
***
0.401
***
0.342
***
0.340
***
(0.047)
(0.040)
(0.045)
(0.039)
Lagged DV
yes
yes
no
no
Differenced
no
no
yes
yes
N
80
80
80
80
R
2
0.486
0.479
0.141
0.132
Adjusted R
2
0.473
0.466
0.130
0.121
*
p < .05;
**
p < .01;
***
p < .001
--- layout:false .left-column[##Analysis ###Results ] .right-column[ 1. More veterans is associated with *more* support for suffrage 2. This effect is conditional on combat experience ] --- class: center, middle Marginal Effects, Linear interaction
--- class: center, middle Marginal Effects, Kernel estimator
--- layout:false .left-column[##Analysis ###Results ] .right-column[ 1. More veterans is associated with postwar *increase* in votes for suffrage 2. This effect is conditional on combat experience 3.  More veterans is associated with postwar *increase* in votes for suffrage 2. This effect is conditional on combat experience 3. More veterans associated with postwar *increase* in votes for GOP 4. Parallel trends assumption holds: identified? ] --- class: center, middle Marginal effect of veterans by election year
--- layout:false .left-column[##Analysis ###Results ] .right-column[ 1. More veterans is associated with postwar *increase* in votes for suffrage 2. This effect is conditional on combat experience 3. More veterans associated with postwar *increase* in votes for GOP 4. Parallel trends assumption holds: identified? ] --- template:inverse ##What's next? --- .left-column[ ##Next step ###Measurement ] .right-column[ 1. Match veterans to pre- and post-war counties * By residence * Using Census schedules 2. Instrument for enlistment rates? * Draft quotas? ] --- .left-column[ ##Next step ###Measurement ###Analysis ] .right-column[ 1. Replicate analyses for suffrage votes in WI, NY 2. Extend analysis of GOP voteshare to all Northern States 3. Effects on composition of Reconstruction Congress? ] --- template:inverse #Thank you


Toggle navigation
Earthquake
Monitor
User
Profile
Settings
Logout
Dashboard
Widgets
Dashboard
Earthquake Data
--
Last Hour
--
Last 24 Hour
--
Last 7 Days
--
Last 30 Days
Earthquakes for past 7 days
Closest Earthquake
Location: Coming Soon
Largest Quake (7 days)
Largest Quake (30 Days)
Daily Quake Frequency


How about white spaces in text
Default action
Spaces, tabs, line feeds, punctuation marks both in English and Japanese are marked as delimiters. Texts are splitted by delimiters before indexing. So, no keys cross over the delimiter. An adverse effect of this is that "3.14" cannot be searched.
For example, "my cat." will be "my", "ca", "at", "m", "y", "c", "a" and "t". While "my cat!" will be "my", "ca", "at", "t!", "m", "y", "c", "a", "t" and "!". And "3.14" will be "3", "14", "1" and "4".
Customize
The
ignore property
of
jsngram.jsngram.JsNgram class
controls this behavior.
You can add or remove delimiter characters.
The system can go even with no delimiters.
Preparation
If you want to make indexes including spaces or line feeds, some preparations before indexing are recommended. Consecutive spaces are better to be trimmed to one space. Line feeds are better to be unified to one. When the text is something sensitve to these changes, these preprocesses are not appropriate.


I am Quin Bryant.
As a child, I was drawn to music and learned to read treble clef and play the flute. It's my first love! Singing is also a passion of mine and I've dabbled in making music and covering songs.
I've sang at weddings and other events as well.
As a millenial, technology was introduced to me slowly and all at once. It has always been a part of my life and an interest of mine so it just made sense for me to begin a career in Web Development.
I found it comforting and ironic hearing the word 'typography' being used in class as it's just an example of some of the random things I've found myself intrigued by before embarking on this journey.
At this very moment, I am feeling extremely optimistic and grateful because I can now envision a tangible and successful future in the world of technology.
“And, when you want something, all the universe conspires in helping you to achieve it.”
― Paulo Coelho, The Alchemist


#inventtogether
@WeAreGenuine
Boston Drupal Meetup /
Michael Miles
6:30pm - 7:00pm
N'oleans Y'all
Thoughts, takeaways?
You need to solve a Drupal problem
You only have enough time to use one resource
Where do you go?
Build a search for Nodes
Ability to keyword search titles
Display Node title(linked) and summary
Display paged list of results
How do you build it?
"I want a search like Google...
And I only have <not enough> weeks...
And I only have <not enough> budget"
What's your first question?
Date: June 16th,, 2016
Location: Isovera, Waltham MA
More Info: isovera.com/event/training/drupal-8-layout-and-theming-0
Date: June 16th, 2016
(3rd Thursday every month)
Location: Davenport Conference Room
25 1st Street Cambridge, MA 02141
Speaker: Kelly Albrecht
Session: We Sold Drupal to the World, Now We Must Support It.
More Info: http://www.drupalnights.org/
Date: June 16th - June 19th
Location: EV building at Concordia University
Montreal, Canada
More Info: //drupalnorth.org
Date: July 8th - July 11th
Location: United Nations
New York City
More Info: //nyccamp.org
Date: July 22nd - July 24th
Location: Microsoft Nerd Center
1 Memorial Drive Cambridge, MA 02141
Speak: Accepting session proposals until June 15th
More Info: //design4drupal.org
Date: September 30th - October 1st
Location: SOUTHERN NEW HAMPSHIRE UNIVERSITY
2500 North River Road
Manchester NH 03106
Speak: Accepting session proposals until August 1st
More Info: nedcamp.org
Send me announcements!
Date: Tuesday July 5th, 2016
Location: Genuine
Themes: Ideas?


{% extends 'base.html'%} {%block title%} Home {%endblock%} {%block body%} College of Military Engineering,Pune Students Courses Classes Attendance Logout


{{ define "main" }}
Tax: Applicable tax on the basis of exact location & discount will be charged at the time of checkout
Blue and orange T-shirt, has a V-neck with a spread collar, short sleeves, DryCell technology for moisture management
Bio-based Wicking finish
Vestibulum id ligula porta felis euismod semper eget lacinia odio sem nec elit.
It fits perfect and he loved it.
I didn't realize you had clothes for 2T and they're super cute and affordable.


Two-dimensional visualization of k-means clustering algorithm
Data points
Add manually
Add randomly
data point(s)
Remove all
Centroids
Add manually
Add randomly
centroid(s)
Remove all
Algorithm
1.
Reassign data points
2.
Update centroids' positions
Run steps in loop
every
millisecond(s)
Distance function:


--- layout: post title: 'My Reading List: load Google book preview in overlay' date: 2011-09-16 21:13:00.000000000 +02:00 type: post published: true status: publish categories: - Coding tags: - google books API - my reading list meta: posterous_6b63f8d297c73139dd329498419cf441_post_id: '70677174' posterous_6b63f8d297c73139dd329498419cf441_permalink: http://exploringtheweb.net/my-reading-list-how-to-get-a-google-book-prev _thumbnail_id: '1357' _edit_last: '1' _wp_old_slug: my-reading-list-how-to-get-a-google-book-preview-loaded-in-an-overlay dsq_thread_id: '497988003' author: login: bbWebdesign email<EMAIL_ADDRESS>display_name: Bob first_name: Bob last_name: Belderbos ---
Google books API is cool, it gets you quite some info and it is easy to use. I used it in My Reading List ( you can read more here ) .
Last week, apart from creating a widget, I tried to improve the code a bit for the book preview button. I programmed the book preview button to open an iframe overlay (fancybox) and tries to load the book's preview. If not found, it redirects to google's book page.
{{ It seems majority of books don't load the preview. For now I accept this as a condition. If the book preview is not loaded the user is still redirected to the book's Google Books Page }}
Below the script. After loading Google's jsapi library, google.setOnLoadCallback(previewTitle), is called. previewTitle is a function that tries to create a view of the book (googleID) you pass in (php get variable in this case). If it can't find it, alertNotFound is called which puts a message and redirects to google's book page. A wrapper div "viewerCanvas" is defined to load in the content. All this happens in the preview.php page that gets loaded in an overlay iframe upon clicking the google preview button (first printscreen)
At the developers guide. Check this script out here


---
layout: page
title: Hi, I'm Rong Shi
use-site-title: true
---
About me
I am a graduate student
advised by Dr. Yang Wang
in the Dept. of Computer Science and Engineering at The Ohio State University.
My research interests are in distributed systems and heterogeneous architectures.
I received my B.S. and M.S. in School of Computer Science and Engineering
from University of Electronic Science and Technology of China.
Publications
R. Shi, Y. Wang, Cheap and Available State Machine Replication, accepted by USENIX ATC 2016
R. Shi, S. Potluri, K. Hamidouche, M. Li, D. Rossetti and D. K. Panda, Designing Efficient Small Message Transfer Mechanism for Inter-node MPI Communication on InfiniBand GPU Clusters, Conference on High Performance Computing (HiPC'14), Goa, India, 2014
J. Zhang, X. Lu, J. Jose, M. Li, R. Shi and D. K. Panda, High Performance MPI Library over SR-IOV Enabled InfiniBand Clusters, Conference on High Performance Computing (HiPC'14), Goa, India, 2014
R. Shi, X. Lu, S. Potluri, K. Hamidouche, J. Zhang, and D. K. Panda, HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement using MPI Datatypes on GPU Clusters, in Proceeding of International Conference on Parallel Processing (ICPP'14), Minneapolis, USA, 2014.
J. Zhang, X. Lu, J. Jose, R. Shi and D. K. Panda, Can Inter-VM Shmem Benefit MPI Applications on SR-IOV based Virtualized InfiniBand Clusters, Euro-Par 2014 Parallel Processing - 20th International Conference, Porto, Portugal, August 2014
R. Shi, S. Potluri, K. Hamidouche, X. Lu, K. Tomko and D. K. Panda, A Scalable and Portable Approach to Accelerate Hybrid HPL on
Heterogeneous CPU-GPU Clusters. Cluster'13. Sep. 2013, Indianapolis, USA.
Best Student Paper Award
Teaching
SP14: Instructor of CSE 2451: Advanced C Programming
AU12: TA of CSE 2111: Spreadsheets and DBs (15336)
AU11--SP12: Grader of CSE 660, 670
Awards
Travel Grant: OSDI 2016, SOSP 2015, IEEE Cluster 2013
Last Updated: 11/10/2016


Example:
import foo.Foo.Bar;
class Foo {
class Bar {}
}
class Baz {
void f(Bar bar) {}
}
After the quick-fix is applied:
class Foo {
class Bar {}
}
class Baz {
void f(Foo.Bar bar) {}
}
Use the inspection settings to ignore references to inner classes within the same class, which therefore do not require an import.


(Chevy SM465 before conversion)
The SM465 is the replacement for the SM420. It's first gear isn't as
low, but it has a sturdier case and uses a larger input bearing. Input
bearing retainer size may also be larger though, so finding a
bellhousing for anything other than a Chevy SB is not possible from
the junk yard. It is also a bit longer than an SM420 which may be
a concern for CJ-5 and earlier Jeeps.


Parameter list for the current execution of FitHiChIP: /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//Parameters.txt
List of CIS interactions within the specified distance thresholds (lower threshold: 20000 upper threshold: 2000000 ): /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//HiCPro_Matrix_BinSize5000/L_20000_U2000000/FitHiChIP.cis.interactions.DistThr.bed
Number of interacting (non zero contacts) bin pairs ( all to all ) : 10404706Bin specific HiChIP coverage, coverage bias, and peak / non-peak boolean values: /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//NormFeatures/Coverage_Bias/FitHiChIP.coverage_Bias.bed
All interactions with their FitHiChIP significance values: /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//FitHiChIP_Peak2ALL_b5000_L20000_U2000000/P2PBckgr_0/Coverage_Bias/FitHiC_BiasCorr/FitHiChIP.interactions_FitHiC.bed
Number of interactions considered: 5715370Significant interactions: /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//FitHiChIP_Peak2ALL_b5000_L20000_U2000000/P2PBckgr_0/Coverage_Bias/FitHiC_BiasCorr/FitHiChIP.interactions_FitHiC_Q0.01.bed
Total number of significant interactions ( FDR 0.01 ) : 61028After merging adjacent loops (connected component modeling) significant interactions: /home/springer/liang795/projects-in-nathan-lab/HiChip/2021-analysis/HiChip2021/Mo17-H3K4me3-Loop-Chip//FitHiChIP_Peak2ALL_b5000_L20000_U2000000/P2PBckgr_0/Coverage_Bias/FitHiC_BiasCorr/Merge_Nearby_Interactions/FitHiChIP.interactions_FitHiC_Q0.01_MergeNearContacts.bed
Total number of significant interactions ( FDR 0.01 ) after merging adjacent loops: 4956


A collection of widgets built from scratch to work in an intuitive manner with any CSS framework and without the need for JS programming. They work with regular HTML forms and make them smarter.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--java.util.EventObject | +--org.apache.catalina.InstanceEvent
General event for notifying listeners of significant events related to a specific instance of a Servlet, or a specific instance of a Filter, as opposed to the Wrapper component that manages it.
| Field Summary | |
static java.lang.String |
AFTER_DESTROY_EVENT
The event indicating that the destroy() method has
returned. |
static java.lang.String |
AFTER_DISPATCH_EVENT
The event indicating that the service() method of a
servlet accessed via a request dispatcher has returned. |
static java.lang.String |
AFTER_FILTER_EVENT
The event indicating that the doFilter() method of a
Filter has returned. |
static java.lang.String |
AFTER_INIT_EVENT
The event indicating that the init() method has returned. |
static java.lang.String |
AFTER_SERVICE_EVENT
The event indicating that the service() method has
returned. |
static java.lang.String |
BEFORE_DESTROY_EVENT
The event indicating that the destroy method is about
to be called for this instance. |
static java.lang.String |
BEFORE_DISPATCH_EVENT
The event indicating that the service() method of a
servlet accessed via a request dispatcher is about to be called.
|
static java.lang.String |
BEFORE_FILTER_EVENT
The event indicating that the doFilter() method of a
Filter is about to be called. |
static java.lang.String |
BEFORE_INIT_EVENT
The event indicating that the init() method is about
to be called for this instance. |
static java.lang.String |
BEFORE_SERVICE_EVENT
The event indicating that the service() method is about
to be called on a servlet. |
| Fields inherited from class java.util.EventObject |
source |
| Constructor Summary | |
InstanceEvent(Wrapper wrapper,
javax.servlet.Filter filter,
java.lang.String type)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Filter filter,
java.lang.String type,
javax.servlet.ServletRequest request,
javax.servlet.ServletResponse response)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Filter filter,
java.lang.String type,
javax.servlet.ServletRequest request,
javax.servlet.ServletResponse response,
java.lang.Throwable exception)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Filter filter,
java.lang.String type,
java.lang.Throwable exception)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Servlet servlet,
java.lang.String type)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Servlet servlet,
java.lang.String type,
javax.servlet.ServletRequest request,
javax.servlet.ServletResponse response)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Servlet servlet,
java.lang.String type,
javax.servlet.ServletRequest request,
javax.servlet.ServletResponse response,
java.lang.Throwable exception)
Construct a new InstanceEvent with the specified parameters. |
|
InstanceEvent(Wrapper wrapper,
javax.servlet.Servlet servlet,
java.lang.String type,
java.lang.Throwable exception)
Construct a new InstanceEvent with the specified parameters. |
| Method Summary | |
java.lang.Throwable |
getException()
Return the exception that occurred during the processing that was reported by this event. |
javax.servlet.Filter |
getFilter()
Return the filter instance for which this event occurred. |
javax.servlet.ServletRequest |
getRequest()
Return the servlet request for which this event occurred. |
javax.servlet.ServletResponse |
getResponse()
Return the servlet response for which this event occurred. |
javax.servlet.Servlet |
getServlet()
Return the servlet instance for which this event occurred. |
java.lang.String |
getType()
Return the event type of this event. |
Wrapper |
getWrapper()
Return the Wrapper managing the servlet instance for which this event occurred. |
| Methods inherited from class java.util.EventObject |
getSource, toString |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
public static final java.lang.String BEFORE_INIT_EVENT
init()
method is about
to be called for this instance.
public static final java.lang.String AFTER_INIT_EVENT
init()
method has returned.
public static final java.lang.String BEFORE_SERVICE_EVENT
service()
method is about
to be called on a servlet. The servlet
property contains
the servlet being called, and the request
and
response
properties contain the current request and
response being processed.
public static final java.lang.String AFTER_SERVICE_EVENT
service()
method has
returned. The servlet
property contains the servlet
that was called, and the request
and
response
properties contain the current request and
response being processed.
public static final java.lang.String BEFORE_DESTROY_EVENT
destroy
method is about
to be called for this instance.
public static final java.lang.String AFTER_DESTROY_EVENT
destroy()
method has
returned.
public static final java.lang.String BEFORE_DISPATCH_EVENT
service()
method of a
servlet accessed via a request dispatcher is about to be called.
The servlet
property contains a reference to the
dispatched-to servlet instance, and the request
and
response
properties contain the current request and
response being processed. The wrapper
property will
contain a reference to the dispatched-to Wrapper.
public static final java.lang.String AFTER_DISPATCH_EVENT
service()
method of a
servlet accessed via a request dispatcher has returned. The
servlet
property contains a reference to the
dispatched-to servlet instance, and the request
and
response
properties contain the current request and
response being processed. The wrapper
property will
contain a reference to the dispatched-to Wrapper.
public static final java.lang.String BEFORE_FILTER_EVENT
doFilter()
method of a
Filter is about to be called. The filter
property
contains a reference to the relevant filter instance, and the
request
and response
properties contain
the current request and response being processed.
public static final java.lang.String AFTER_FILTER_EVENT
doFilter()
method of a
Filter has returned. The filter
property contains
a reference to the relevant filter instance, and the
request
and response
properties contain
the current request and response being processed.
| Constructor Detail |
public InstanceEvent(Wrapper wrapper, javax.servlet.Filter filter, java.lang.String type)
wrapper
- Wrapper managing this servlet instancefilter
- Filter instance for which this event occurredtype
- Event type (required)public InstanceEvent(Wrapper wrapper, javax.servlet.Filter filter, java.lang.String type, java.lang.Throwable exception)
wrapper
- Wrapper managing this servlet instancefilter
- Filter instance for which this event occurredtype
- Event type (required)exception
- Exception that occurredpublic InstanceEvent(Wrapper wrapper, javax.servlet.Filter filter, java.lang.String type, javax.servlet.ServletRequest request, javax.servlet.ServletResponse response)
wrapper
- Wrapper managing this servlet instancefilter
- Filter instance for which this event occurredtype
- Event type (required)request
- Servlet request we are processingresponse
- Servlet response we are processingpublic InstanceEvent(Wrapper wrapper, javax.servlet.Filter filter, java.lang.String type, javax.servlet.ServletRequest request, javax.servlet.ServletResponse response, java.lang.Throwable exception)
wrapper
- Wrapper managing this servlet instancefilter
- Filter instance for which this event occurredtype
- Event type (required)request
- Servlet request we are processingresponse
- Servlet response we are processingexception
- Exception that occurredpublic InstanceEvent(Wrapper wrapper, javax.servlet.Servlet servlet, java.lang.String type)
wrapper
- Wrapper managing this servlet instanceservlet
- Servlet instance for which this event occurredtype
- Event type (required)public InstanceEvent(Wrapper wrapper, javax.servlet.Servlet servlet, java.lang.String type, java.lang.Throwable exception)
wrapper
- Wrapper managing this servlet instanceservlet
- Servlet instance for which this event occurredtype
- Event type (required)exception
- Exception that occurredpublic InstanceEvent(Wrapper wrapper, javax.servlet.Servlet servlet, java.lang.String type, javax.servlet.ServletRequest request, javax.servlet.ServletResponse response)
wrapper
- Wrapper managing this servlet instanceservlet
- Servlet instance for which this event occurredtype
- Event type (required)request
- Servlet request we are processingresponse
- Servlet response we are processingpublic InstanceEvent(Wrapper wrapper, javax.servlet.Servlet servlet, java.lang.String type, javax.servlet.ServletRequest request, javax.servlet.ServletResponse response, java.lang.Throwable exception)
wrapper
- Wrapper managing this servlet instanceservlet
- Servlet instance for which this event occurredtype
- Event type (required)request
- Servlet request we are processingresponse
- Servlet response we are processingexception
- Exception that occurred| Method Detail |
public java.lang.Throwable getException()
public javax.servlet.Filter getFilter()
public javax.servlet.ServletRequest getRequest()
public javax.servlet.ServletResponse getResponse()
public javax.servlet.Servlet getServlet()
public java.lang.String getType()
public Wrapper getWrapper()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


|
Na
Na/Na.channel.nml
Ion: na
g = gmax * m3 * h
Na+ current based on Traub and Miles 1991.
Comment from original mod file:
Hippocampal HH channels
Fast Na+ and K+ currents responsible for action potentials
Iterative equations
Equations modified by Traub, for Hippocampal Pyramidal cells, in: Traub and Miles, Neuronal Networks of the Hippocampus, Cambridge, 1991
- range variable vtraub adjust threshold
- Written by Alain Destexhe, Salk Institute, Aug 1992
- Modified Oct 96 for compatibility with Windows: trap low values of arguments
|
|
|
|
IM
IM/IM.channel.nml
Ion: k
g = gmax * p
Slow M-type K+ current for spike frequency adaptation
Comment from original mod file:
M-current, responsible for the adaptation of firing rate and the afterhyperpolarization (AHP) of cortical pyramidal cells
First-order model described by hodgkin-Hyxley like equations.
K+ current, activated by depolarization, noninactivating.
Model taken from Yamada, W.M., Koch, C. and Adams, P.R. Multiple channels and calcium dynamics. In: Methods in Neuronal Modeling,
edited by C. Koch and I. Segev, MIT press, 1989, p 97-134.
See also: McCormick, D.A., Wang, Z. and Huguenard, J. Neurotransmitter control of neocortical neuronal activity and excitability.
Cerebral Cortex 3: 387-398, 1993.
Written by Alain Destexhe, Laval University, 1995
|
|
|
|
Kd
Kd/Kd.channel.nml
Ion: k
g = gmax * n4
Delayed rectifier K+ current based on Traub and Miles 1991.
Comment from original mod file: Hippocampal HH channels
Fast Na+ and K+ currents responsible for action potentials
Iterative equations
Equations modified by Traub, for Hippocampal Pyramidal cells, in: Traub and Miles, Neuronal Networks of the Hippocampus, Cambridge, 1991
- range variable vtraub adjust threshold
- Written by Alain Destexhe, Salk Institute, Aug 1992
- Modified Oct 96 for compatibility with Windows: trap low values of arguments
|
|
|
|
IT
IT/IT.channel.nml
Ion: ca
g = gmax * s2 * u
Low threshold calcium current
Comment from original mod file:
Ca++ current responsible for low threshold spikes (LTS)
THALAMOCORTICAL CELLS
Differential equations
Model based on the data of Huguenard and McCormick, J Neurophysiol
68: 1373-1383, 1992 and Huguenard and Prince, J Neurosci.
12: 3804-3817, 1992.
Features:
- kinetics described by Nernst equations using a m2h format
- activation considered at steady-state
- inactivation fit to Huguenard's data using a bi-exp function
- shift for screening charge, q10 of inactivation of 3
Written by Alain Destexhe, Salk Institute, 1993; modified 1995
|
|
|
|
IL
IL/IL.channel.nml
Ion: ca
g = gmax * q2 * r
High threshold calcium current
Comment from original mod file:
- Ca++ current, L type channels
- Differential equations
- Model from:
Reuveni I; Friedman A; Amitai Y; Gutnick MJ.
Stepwise repolarization from Ca2+ plateaus in neocortical pyramidal cells:
evidence for nonhomogeneous distribution of HVA Ca2+ channels in
dendrites.
Journal of Neuroscience, 1993 Nov, 13(11):4609-21.
- Experimental data for voltage-dependent activation:
Sayer RJ; Schwindt PC; Crill WE.
High- and low-threshold calcium currents in neurons acutely isolated from
rat sensorimotor cortex.
Neuroscience Letters, 1990 Dec 11, 120(2):175-8.
- Experimental data for voltage-dependent inactivation:
Dichter MA; Zona C.
Calcium currents in cultured rat cortical neurons.
Brain Research, 1989 Jul 17, 492(1-2):219-29.
- Calcium-dependent inactivation was not modeled; if interested, see:
Kay AR.
Inactivation kinetics of calcium current of acutely dissociated CA1
pyramidal cells of the mature guinea-pig hippocampus.
Journal of Physiology, 1991 Jun, 437:27-48.
- m2h kinetics from:
Kay AR; Wong RK.
Calcium current activation kinetics in isolated pyramidal neurones of the
Ca1 region of the mature guinea-pig hippocampus.
Journal of Physiology, 1987 Nov, 392:603-16.
- Reversal potential described by Nernst equation
- no temperature dependence included (rates correspond to 36 degC)
Alain Destexhe, Laval University, 1996
|
|
|


This tests that elements inside the shadowRoot are properly upgraded and attached is called on them. Essentially this is a Shadow DOM and Custom Elements integration test.
x-inner
inner element:
outer element:


{% extends "base.html" %} {% block maincontent %}
Try zooming in & out, click and drag.
Your zoomable file is now being created
Wait for the mail that tells you the work is done
Enjoy and share your work!
This project is currently under development, and has been funded by The Netherlands Organisation for Scientific Research
We stand on the shoulders of giants and gratefully use the following technologies: Python, Django, OpenSeadragon, Ubuntu, VIPS, and all the source code is freely available on Github


Hello World! we are software developers
freeCodeCamp Survey Form
Thank you for taking the time to help us improve the platform
Name
Email
Age
Which option best describes your current role?
Select current role
Student
Full Time Job
Full Time Learner
Prefer Not to Say
Others
Would you recommend freeCodeCamp to a friend?
Definently
Maybe
Not Sure
What would you like to see improved?
Front-end Projects
Back-end Projects
Data Visualization
Challenges
Videos
Additional comments
Submit


- values - Variable in class net.net16.jeremiahlowe.bettercollections.Cube
-
- values - Variable in class net.net16.jeremiahlowe.bettercollections.Grid
-
- Vector2 - Class in net.net16.jeremiahlowe.bettercollections.vector
-
A Vector2 for storing a x, and y values
Also includes special maths such as distance
- Vector2() - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector2
-
Makes a vector2 with x and y as zero
- Vector2(float, float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector2
-
Makes a pre-defined vector2
- Vector2(float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector2
-
Makes a pre-defined vector2 with x and y as the specified value
- Vector3 - Class in net.net16.jeremiahlowe.bettercollections.vector
-
A Vector3 for storing an x, y and z values
Also includes special maths such as distance
- Vector3(float, float, float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a pre-defined vector3
- Vector3() - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a vector3 with all zeroes
- Vector3(float, float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a vector3 with a pre-defined x and y value
z is set to 0
- Vector3(float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a pre-defined vector3 with all the same values
- Vector3(Vector2, float) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a vector3 but with a vector2 for the x and y values and z for the z value
- Vector3(Vector2) - Constructor for class net.net16.jeremiahlowe.bettercollections.vector.Vector3
-
Makes a vector3 with a vector2 for the x and y values and z as 0
- verifySize(int, int, int) - Static method in class net.net16.jeremiahlowe.bettercollections.Cube
-
Method for verifying a new size
- verifySize(int, int) - Static method in class net.net16.jeremiahlowe.bettercollections.Grid
-
Method for verifying a new size


Three games: proton, frequon and regression. Each one is a console-based data-crunching game for younger and older data scientists. Act as a data-hacker and find Slawomir Pietraszko's credentials to the Proton server. In proton you have to solve four data-based puzzles to find the login and password. There are many ways to solve these puzzles. You may use loops, data filtering, ordering, aggregation or other tools. Only basics knowledge of R is required to play the game, yet the more functions you know, the more approaches you can try. In frequon you will help to perform statistical cryptanalytic attack on a corpus of ciphered messages. This time seven sub-tasks are pushing the bar much higher. Do you accept the challenge? In regression you will test your modeling skills in a series of eight sub-tasks. Try only if ANOVA is your close friend. It's a part of Beta and Bit project. You will find more about the Beta and Bit project at <http://betabit.wiki>.
| Version: | 1.3 |
| Depends: | R (≥ 3.0.0) |
| Imports: | digest |
| Published: | 2016-07-30 |
| Author: | Przemyslaw Biecek [aut, cre], Witold Chodor [trl], Katarzyna Fak [aut], Tomasz Zoltak [aut], Foundation SmarterPoland.pl [cph] |
| Maintainer: | Przemyslaw Biecek <przemyslaw.biecek at gmail.com> |
| BugReports: | https://github.com/BetaAndBit/BetaBitRgame/issues |
| License: | GPL-2 |
| URL: | http://betabit.wiki |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BetaBit results |
| Reference manual: | BetaBit.pdf |
| Package source: | BetaBit_1.3.tar.gz |
| Windows binaries: | r-devel: BetaBit_1.3.zip, r-release: BetaBit_1.3.zip, r-oldrel: BetaBit_1.3.zip |
| OS X binaries: | r-release: BetaBit_1.3.tgz, r-oldrel: BetaBit_1.3.tgz |
| Old sources: | BetaBit archive |
Please use the canonical form https://CRAN.R-project.org/package=BetaBit to link to this page.


Once you're done scrolling through this list, make sure to check out our recommended coffee subscriptions and our list of top-tested coffee accessories.
Learn more
FREE COFFEE IS A TAP AWAY
Join now to start earning Rewards.*
If you’re looking for a few ways to take a break from the ordinary, we’ve got your master list for a summer of caffeinated love.
Join now
DELIGHTFULLY CHILL
Refresh your day with the bright, tropical flavors of our Star Drink and Kiwi Starfruit Refreshers beverage.
Order iced beverage
Order and pick up. Easy as that.
Just open the app, order your favorites, and enjoy contactless pay. From there, choose whichever pickup method is best for you.
Enjoy a burst of fine ground flavor
Don’t wait for great coffee. Enjoy it here.We make it better.
Skillfully roasted. Artfully blended.Take away the ultimate coffee


Call us: 2335 654
Welcome to my personal website. Here is my introduction. Thank you.
Above is a carousel map, which is a small part of the three icon
Above is a carousel map, which is a small part of the three icon
Above is a carousel map, which is a small part of the three icon


{% extends 'base.html' %} {% block title %}
Search by gene symbol or drug name.
If your search is inconclusive, try the browse page.


First in the series of building an intelligent nerf turret powered with Microsoft Cognitive Services to recognize, classify, swivel and shoot!
The Goal
Create a device that will be able to receive and understand voice commands sent though the computer to target specific items around the room. The device will be mounted on a base with a platform that rotates 360 degrees. When the specified item is found, recognized and identified as a target, the nerf turret will shoot a foam dart. The only input the device should receive is the voice commands, no controller will be used to swivel and aim.
Hardware
- Raspberry Pi 3
- Raspberry Pi Camera
- Arduino UNO
- (2) Servo Motors
- External power supply for motors
- Nerf (electric)
- 3D Printed Base Mount
Main Parts and Tasks
This is a overview of main tasks that need to be accomplished and tackled. I plan to have dedicated blog posts for each of these tasks so you can understand and learn with us.
Raspberry Pi
The RP3 will house the logic for this device. The RP3 is responsible for executing the logic that will control the camera, triggering the Nerf turret and communicating with the Arduino to rotate the platform. We will be using Node.js to code this project.
Image Recognition
The Raspberry Pi camera will continuously capture images that will be sent to Microsoft’s Custom Vision Service to help identify if there are any items in the camera’s vision that is of interest to us. Microsoft’s CVS provides a great way to train a custom vision model by uploading training images and appropriately tagging them. (such as a cup, soda can or bottle). As we upload new images to the trained model, the service will pass back a prediction JSON with confidence scores associated with each item. If the item is identified in the image with a certain confidence score, such as 0.80 or higher, we know the Nerf turret is aiming at the target.
Start playing around with Microsoft Custom Vision Service for free now! We will be talking more about this in future posts.
Nerf
We will be modifying the Nerf’s turret trigger mechanism so we will be able to shoot a dart controlled by the Raspberry Pi. The trigger logic will be implemented with the image recognition to determine if the captured image is classified as the correct target.
 The base and platform will be two separate units which will allow for the device to rotate 360 degrees continuously without worrying about wires. (See image at bottom for reference)
Base: The base will be a circular disk, large enough to provide stability to the device, with raised walls. The inside walls will have teeth to allow gears (from the servos) to gain traction and rotate the upper platform. In the center of the base, there will be a raised cylinder structure which will house a ball bearing. This ball bearing will allow the platform, sitting on top of the base, to spin smoothly with minimal friction. The base has three main functions: provide stability to the entire device, provide gear teeth along the inner wall, and house the ball bearing.
Platform: The platform will be a disk with the same diameter as the base and must hold all of the electronics and hardware for the device. Below the platform disk, there will be an electronics compartment to house the RP3, Ardiuno UNO, two servo motors and power supply. The servo motors will sit vertically below the platform with gears attached to their axles. The gears will line up with the gear teeth on the base walls to provide the mechanism for the platform to spin as the servos are powered.
On top of the platform disk, there will be a mount for the Nerf as well as the Raspberry Pi camera pointed in-line with the Nerf sights so the device’s image will correspond with the Nerf’s aim.
The exact dimensions and STL files will be available and explained in a future dedicated post!
Ardiuno and Servo Motors
Since we have decided to use Node.js as the primary technology for this project, we will be utilizing the Johnny-Five platform to control the Ardiuno from the RP3. As the RP3 captures images of the surroundings it will consult with the CVS model to identify objects. The servos will continue to rotate the platform until it finds a target.
Two servos attached with gears will be used to rotate the platform.
Rough outline and drawings during our initial white board session (don’t judge..)
This project is in collaboration with @NoWaySheCodes and @Howlowck. View our progress on GitHub and follow me on Twitter - @KSLHacks for updates, photos and more blogs!


Israel's Bank Hapoalim third-quarter profit drops on Turkish operations
JERUSALEM (Reuters) - Bank Hapoalim (POLI.TA), Israel’s largest lender, reported on Wednesday a 22.5% drop in third quarter net profit after it chose to accelerate the sale of its business in Turkey and due to the impact of a negative consumer price index.
The bank said its quarterly net profit totaled 736 million shekels ($213 million), down from 950 million shekels a year earlier.
It recorded a loss of impairment of about 63 million shekels from its investment in Bank Pozitif in Turkey. Excluding this, net profit would have totaled 798 million shekels.
Income from regular financing activity rose 1.3% to 2.4 billion shekels in the quarter. But that was hindered by a negative consumer price index that resulted in an expense of 76 million shekels compared with income of 19 million a year earlier, the bank said.
Fees and other income slipped 1.1%.
Hapoalim distributed a 1 billion shekel dividend from a capital surplus generated from the sale of a 65% stake in credit card business Isracard (ISCD.TA).
Hapoalim has undergone a management shake-up, and its new chief executive, Dov Kotler, took office on Oct. 1.


Transactions
Transaction processing is information processing that is divided into individual, indivisible operations called transactions. Each transaction must succeed or fail as a complete unit; it can never be only partially complete.
A transaction is a series of data manipulation statements that must either fully complete or fully fail, leaving the system in a consistent state. It symbolizes a unit of work performed and treated in a coherent and reliable way independent of other transactions. There are two types of transactions; local and distributed.
Local Transactions
Local transactions are transactions associated with a particular datasource (this means they are resource-specific). The most common example is a transaction associated with a JDBC connection.
Distributed Transactions: (Global/XA Transactions)
A distributed transaction is a transaction that accesses and updates data on two or more networked resources, and therefore must be coordinated among those resources. This coordination is the function of the transaction manager. The transaction manager is responsible for making the final decision either to commit or rollback any distributed transaction and it uses the two phase commit protocol for that.
- First phase: The transaction manager polls all of the resource managers involved in the distributed transaction to see if each one is ready to commit. If a resource manager cannot commit, it responds negatively and rolls back its particular part of the transaction so that data is not altered.
- Second phase: The transaction manager determines if any of the resource managers have responded negatively, and, if so, rolls back the whole transaction. If there are no negative responses, the translation manager commits the whole transaction, and returns the results to the application.
JTA specifies standard Java interfaces between the transaction manager and the other components in a distributed transaction: the application, the application server, and the resource managers. Atomikos is used as open source JTA implementation.
A transaction
is defined as follows:
transaction {
sql:ClientConnector.update(testdb1,...)
sql:ClientConnector.update(testdb2,...)
If ( ...) {
abort;
}
....
//commit all local & XA transactions and close connections
} aborted {
//Logic which needs to execute on transaction failure
...
...
}
The aborted
section is executed after the transaction is rolled back due to any of the following conditions:
- an exception occurred within the transaction block
- abort statement
- throw statement
Nested Transactions
A nested transaction
is defined as follows:
transaction {
....
....
transaction {
....
....
}
aborted {
...
...
}
....
....
}
aborted {
//Logic which needs to execute on transaction failure
...
...
}
Ballerina allows you to have transactions within a transaction. All internal transactions are committed or aborted at the end of the outer most transaction block. If any of the transactions fail, the aborted block gets executed and all the transactions are rollbacked. The transaction is successful if all the nested transactions are successfully committed.
Example
The following is an example of a local transaction where the transaction gets aborted if any of the update
actions fail.
map propertiesMap = {"jdbcUrl":"jdbc:hsqldb:file:./target/tempdb/TEST_SQL_CONNECTOR",
"username":"SA", "password":"", "maximumPoolSize":1};
sql:ClientConnector testDB = create sql:ClientConnector(propertiesMap);
sql:Parameter[] parameters = [];
transaction {
sql:ClientConnector.update(testDB, "Insert into Customers
(firstName,lastName,registrationID,creditLimit,country) values ('James', 'Clerk', 200, 5000.75, 'USA')",
parameters);
sql:ClientConnector.update(testDB, "Insert into Customers
(firstName,lastName,registrationID,creditLimit,country) values ('James', 'Clerk', 200, 5000.75, 'USA')",
parameters);
} aborted {
system.println("The transaction is aborted");
}
sql:ClientConnector.close(testDB);
The following is an example of the abort
statement in a transaction.
map propertiesMap = {"jdbcUrl":"jdbc:hsqldb:file:./target/tempdb/TEST_SQL_CONNECTOR",
"username":"SA", "password":"", "maximumPoolSize":1};
sql:ClientConnector testDB = create sql:ClientConnector(propertiesMap);
sql:Parameter[] parameters = [];
transaction {
int insertCount = sql:ClientConnector.update(testDB, "Insert into Customers
(firstName,lastName,registrationID,creditLimit,country) values ('James', 'Clerk', 220, 5000.75, 'USA')",
parameters);
insertCount = sql:ClientConnector.update(testDB, "Insert into Customers
(firstName,lastName,registrationID,creditLimit,country) values ('James', 'Clerk', 220, 5000.75, 'USA')",
parameters);
int i = 0;
if (i == 0) {
abort;//transaction can be aborted based on a condition
}
} aborted {
system.println("The transaction is aborted");
}
sql:ClientConnector.close(testDB);


Interacting with the matrix [30min] [HTML | Jupyter ]
You will be using python scripting and leverage the cooler API to interact directly with Hi-C matrices. This can help querying specific regions, computing statistics and generating more advanced visualisations. We will be using matrices from the previous session for this.
Extracting signal tracks from matrices [50min] [HTML | Jupyter ]
Here, you will use the cooltools API to extract 1D tracks from contact data. We will be computing insulation score and doing PCA analysis on mammalian chromosomes to extract the A/B compartment signal. For this session we will be working with mouse embryonic stem cells (mESC) and neural progenitor cells (NPC) from Bonev et al., 2017 . We will use subsampled versions of datasets 4DNFI9FPCAC7 (mESC) and 4DNFIEB68WXR (NPC).
Pattern detection [50min] [HTML | Jupyter ]
You will be introduced to different tools for supervised pattern detection and we will analyse the results from loop detection to quantify differences between condiions. We will work with datasets from the previous session.


Home
Packages
Request Booking
Photo Gallery
Video Gallery
YALLA TAL3A
Ready For Change Of Base?
discover our tours


openEHR-EHR-OBSERVATION.blood_pressure.v1
Blood Pressure
history
any event
blood pressure
Systolic
mm[Hg]
Diastolic
mm[Hg]
Mean Arterial Pressure
mm[Hg]
Pulse Pressure
mm[Hg]
Comment
state structure
Position
Standing
Sitting
Reclining
Lying
Lying with tilt to left
Confounding factors
Sleep status
Alert & awake
Sleeping
Tilt
°
24 hour average
blood pressure
Systolic
mm[Hg]
Diastolic
mm[Hg]
Mean Arterial Pressure
mm[Hg]
Pulse Pressure
mm[Hg]
Comment
state structure
Position
Standing
Sitting
Reclining
Lying
Lying with tilt to left
Confounding factors
Sleep status
Alert & awake
Sleeping
Tilt
°
Tree
Cuff size
Adult Thigh
Large Adult
Adult
Small Adult
Paediatric/Child
Infant
Neonatal
Location
Location of measurement
Right arm
Left arm
Right thigh
Left thigh
Right wrist
Left wrist
Right ankle
Left ankle
Finger
Toe
Intra-arterial
Specific location
Method
Auscultation
Palpation
Machine
Invasive
Mean Arterial Pressure Formula
Diastolic endpoint
Phase IV
Phase V


--- layout: post title: 10 WAYS TO KEEP YOUR CHILD READING THIS SUMMER date: 2010-07-24 08:49:17.000000000 -07:00 type: post parent_id: '0' published: true pd: '' status: publish categories: - Classroom Talk - School's Out tags: - reading - summer reading author: login: k email: k@k display_name: mcary first_name: '' last_name: '' ---
Children that don’t read over the summer usually regress and return to school at a lower reading level in the fall. Here are 10 easy ways to keep your child reading.
1. Go to the library once a week and let your child pick out a pile of books that will last a week.
2. Let them read almost anything they like. Comic books for example can be relaxing and fun for a change.
3. Let your child subscribe to one or more age and subject appropriate magazines that interest him or her. Among the many that are written for specific ages include Sports Illustrated Kids, Ranger Rick, Nickelodeon, American Girl, and Highlights.
4. Let them use the computer/library to research topics of interest to them.
5. Find mystery or puzzle books which encourage children to solve a mystery through clues in the text. THE ELEVENTH HOUR, A CURIOUS MYSTERY: An elephant's 11th birthday party is marked by 11 games before the banquet to be eaten at the 11th hour, but when the time to eat arrives, the b-day feast has disappeared. Reader is invited to guess the thief.
6. Let them stay up an extra hour to read before going to bed.
7. Hook them on a good book series. They’ll be anxious to finish one story and begin another.
8. Put a time limit on video game use.
9. Be a good role model, let your children see you reading.
10. Read a book before attending summer movies and compare and contrast them.


--- layout: project title: Hawaii - Projects description: Hawaii's projects. category: project ---
Here are my projects.


Circuits¶
-
class
interlinq.objects.circuit.
Circuit
(q_map: dict, layers: list = [], qubits: list = [])¶ Circuit object which contains information about a quantum circuit.
-
add_layer_to_circuit
(layer)¶ Add a new Layer object to the circuit
- Parameters
layer (Layer) – List of operations to be applied to the system
-
add_new_qubit
(qubit_info: dict)¶ Add a new qubit to the circuit.
- Parameters
qubit_info (dict) – A mapping of the computing hosts ID to the list of new qubits required for the circuit in that host
-
control_gate_info
()¶ Get information about the control gates between two different computing hosts in the circuit. This information includes the operation index in the layer, the associated computing host IDs, control qubit for the control gate.
- Returns
Layer-wise list of control gate information in the circuit
- Return type
(list)
-
create_layers
(qubits: list)¶ Create layers for the circuit from the qubits provided.
- Parameters
qubits (list) – The qubits in the layer.
-
insert_layer
(index: int, layer: interlinq.objects.layer.Layer)¶ Insert a new layer object at a particular index in the circuit.
- Parameters
index (int) – Index at which the new layer should be inserted at
layer (Layer) – new layer object to be inserted
-
property
layers
¶ Get the layers of the circuit.
- Returns
- List of Layer objects, where each layer contains a collection
of gates to be applied on the qubits in the system
- Return type
(list)
-
property
q_map
¶ Get the q_map of the circuit.
- Returns
- A mapping of the computing hosts IDS to the list of qubits
required for the circuit in that host
- Return type
(dict)
-
property
qubits
¶ Get the qubits of the circuit.
- Returns
- List of Qubit objects, where each qubit object stores the
list of operations applied on it
- Return type
(list)
-
total_qubits
()¶ Get the total number of qubits in the circuit.
- Returns
total number of qubits in circuit
- Return type
(int)
-
update_layer
(index: int, layer: interlinq.objects.layer.Layer)¶ Update a layer object at a particular index with a new value.
- Parameters
index (int) – Index at which the new layer should be updated
layer (Layer) – layer object to be updated
-
update_qubits
(qubits: list)¶ Update qubits in the circuit.
- Parameters
qubits (list) – List of Qubit objects, where each qubit object stores the list of operations applied on it
-


How does JavaScript compare to HTML and CSS? javascript is more of a language, and has a lot of rules and different functions. youre able to maths, print setences to a consol, and much more Explain control flow and loops using an example process from everyday life, for example 'waking up' or 'brushing your teeth'.Control flow statements enable JavaScript programs to make decisions by executing code based on a condition. If a given condition is true, we execute one block of code. If the statement is false, we execute another block of code. For instance, if we were making a game in which the user had to choose which door to enter, we'd need a way for the program to know what to do once the user was in the next room. Explain the difference between accessing data from arrays and objects.when eccessing data from an array you use the '[]' function and find the numbr that ='s the information you want. with an object you have to print the variable and the property to get its value Explain what functions are and why they are useful. you can code a whole seires of different statements into a function, then call on the function by name to be able to use it anywhere shorthand.


Welcome to tanishalfelven.github.io, you are laying your eyes on the first post. Ever. Aren't you just a special cookie?
Now you might be wondering, where the in the nine hells have I found myself? I apoligize if you don't mean to be here, and in the sad case that you are not a programmer (or some creature similar in design), you may show yourself out. Or stay. You might learn something.
Ah, but I've still avoided the question. This is my site. My domain1. This is where I lurk. This is where I'll post everything. The games I create, the tutorials for things I discover (Or perhaps just an improvement on what is already available), and of course this blog.
Now that sounds nice and dandy, but who exactly is this Half-Elf?
I am Tanis Half-Elven. I'm a programmer. I like to program. I love to program. I love to solve problems. I love to read other programming blogs. I like to find problems, and fix them. I like Open Source Work, and try to contribute to it when I've got the time. I like learning. I like to learn with other programmers, whether they are less or more experienced doesn't matter, as long as they have the work ethic. I like to spend long hours trying to figure out a bug from a simple divison error, that is stupidly obvious once found2. I like to design interfaces, and fret about using sans-serif or serif fonts.
I enjoy all of this.
I am a programmer. I want to work hard, and continually create and learn.
This is where you can find me. This is my domain.


Whipped 3 Stars (Out of 4) Reviewed by Mac VerStandig<EMAIL_ADDRESS>http://www.moviereviews.org September, 2000
---A copy of this review can be found at http://www.moviereviews.org/whipped.htm ---
Brad (Brian Van Holt), Jonathan (Jonathan Abrahams) and Zeke (Zorie Barber) convene once a week over Sunday breakfast to compare scamming notes from the previous two nights. No - they aren't credit card thieves, door-to-door salesman or even sleazy businessmen. They are "scammers" or, for those of you as apparently out of it as me, "swingers" or, for those of you who missed that educational 1996 film as well, they are what the parents of Generation-X refer to as "womanizers." Yep, the trio have Friday and Saturday night to get through as many women as possible or - in the case of one member with a masturbation obsession - come up with as interesting a set of stories as imaginable. There is a fourth member of their clan, Eric (Judah Domke), but he is two-years married and his encounters with post-marital sex - no matter how interesting (and some of them are quite exotic) - nauseate the group.
Oddly enough, the group's ventures are wonderfully entertaining in a very primitive, chauvinistic manner and should give single male audiences - especially those Gen-Xers with notoriously hyper-inflated egos - a great deal of pleasure to watch so long as they don't realize that they are laughing at themselves. Those who enjoyed other cheaply-made examinations of dating like Kevin Smith's "Clerks" and the aforementioned "Swingers" - both dignified cult-classics - should appreciate the biting reality of "Whipped" as the film examines how the three sleazy pals will cope with each other when they all fall for the same gal, Mia (Amanda Peet) and break the first rule of dating: "bros before hoes, pals before gals." And for those who envy the slick world of scamming, the film could, in many ways, serve as a starter's manual complete with a few sets of pickup lines and plenty of performance tips like how a man can enhance his taste to a female if consuming pineapple juice before receiving fellatio.
Just don't bring a date.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The growth of Starbucks on a map.
original info
The video shows a Power map demo made with Microsoft Excel.
The visualization shows how Starbucks has spread around the Country


Toggle navigation
About
Portfolio +
Marvel Entertainment
Big Tent Entertainment
Admerasia
Stickers
Personal Branding
2017 Calendar
Superhero Diversity
Blush
Alley
Won & McKenzie
Ace
Demo Reel


THtmlViewer, TFrameViewer, and TFrameBrowser components
property OnParseEnd: TNotifyEvent;
The OnParseEnd event occurs when parsing is finished. Sender is the THtmlViewer doing the parsing.
See Also
OnParseBegin Event


Toggle navigation
Yearly Plan
Home
Planning
Yearly Plan
Overview -00052
Working Instruction
Histories
Main Detail
Workflow Logs
Description
Path
Actions
Description
Version
Actions
Product
Family/Group
Year
Status
Approval Status
Location
Effective Date
Expire Date
Family/Group
-- All --
BK2A
BK2C
EPSc
ESL3
Test Type
-- All --
BK2A
BK2C
EPSc
ESL3
Test Place
-- All --
2016
2017
2018
2019
2020
Reference PN
Sampling Type
-- All --
2016
2017
2018
2019
2020
Send back
Reject
Approve
widthdraw
<%= loadFailed %>
<%= addFailed %>
<%= deleteFailed %>
<%= updateFailed %>
Create Plan
Test Type
Product Family/Group
Target PPM
Planned Volume
Planned QZ Qty
Planned PPM
Remark
Comments
Approvers
Account
Approver
Department
Approval Status
Approval Date/Time
Comments
×
From week
To week
Desciption
Priority
Reference PN
Production Line
1
--
2
DesciptionDesciptionDesciptionDesciption
High
278005674324356
ABS9M Line
Comments


In search for MH370, why did China take so long to release satellite photos?
(AFP) - Beijing was unusually open in revealing its satellite capabilities when it released photographs of possible debris from a missing airplane, despite taking four days to make the images public, analysts said today.
China’s State Administration for Science, Technology and Industry for National Defence (SASTIND) published three pictures late yesterday of what it said were suspected large floating objects in the South China Sea.
The images were taken on Sunday, it said, raising questions as to why it took several days for them to emerge, and whether—and if so, when—they had been passed to the Malaysian authorities co-ordinating the search.
China’s space programme is military-run and normally be shrouded in secrecy.
Malaysian and Vietnamese flights in the area of the photographs failed to spot anything, officials said.
But Morris Jones, an independent space analyst based in Australia, said Beijing’s disclosure of the pictures was surprisingly open.
“Satellite imagery is a strategic tool that has military applications, and nations are usually very cautious in revealing how much these satellites can do and how much they can see,” he told AFP.
“I am surprised that the Chinese have openly released this image because we don’t normally see images of this quality.”
According to SASTIND, the objects were approximately 13 by 18 metres, 14 by 19 metres and 24 by 22 metres in size.
The actual images “were probably of a much higher quality than the images they released to the media”, Jones said. Authorities released them “to provide enough information to show something, but the image is degraded to hide the true capabilities of the actual satellite.”
While China’s abilities in space remain decades behind the US, it has made rapid technological leaps and aims to launch an independent space station by 2020, eventually sending a man to the moon.
It has deployed 10 satellites in the search for MH370, Premier Li Keqiang said today.
The image data was obtained by the China Centre for Resources Satellite Data and Application (CRESDA), an agency jointly overseen by SASTIND and China’s National Development and Reform Commission (NDRC).
Among the agency’s goals is the creation of a national-level satellite data centre to provide high-resolution images for national defence as well as civilian purposes such as agriculture and disaster planning.
It started surveying the area after hearing of the disappearance on Saturday, it said in a statement, and by Tuesday morning, the satellites had gathered data covering a total of 120,000 square kilometres—an area almost the size of Greece.
“The quality of the data images is rather good,” it said.
An official with CRESDA told AFP today that the agency was still analysing the images but that no conclusions had been reached yet.
Jones said he did not find “anything suspicious at all” in the delay in releasing the pictures.
“There’s a lot of time you go through between the time you get the images and the time you release them,” he said.
“The satellite has to get into position, take the photo, then relay it to a ground station, then it has to be analysed. And keep in mind, the analysts on the ground are probably looking through a tremendous amount of data. So I would say there’s absolutely nothing abnormal.”
One of Beijing’s milestones in satellite technology came in late 2012, when it announced that it had launched a domestic satellite navigation network to rival the US GPS global positioning system.
The Beidou system—named after the Chinese term for the plough or Big Dipper constellation—currently has 16 satellites, a number expected to grow to 30 by 2020, when the system is slated to reach global coverage.
China is investing more than 400 billion yuan (RM213 billion) in the system, which is expected to “benefit both the military and civilians”, according to Chinese state media.


0. Introduction
Can you use console tools easily? Somebody not. So, it is a simple GUI app for novices (and not only), who want browse DEMD files and save some of it in common formats as OBJ/FBX/3DS/STL for models and DDS/TGA/PNG/JPG/TIFF for textures. And yes, you also can convert audio (without preview) and export all other formats without conversion.
1. License and thanks
App is under MIT license and you can ask the author to give a source code. App can use components by other licenses - check the file LICENSES.txt.
Big thanks Volfin, Sir Kaine for their DEMD tools.
And thanks for all who helped me translate the app - maybe you one of them, %username%? (if not - you can join)
2. Get started
So, what about exploring DEMD files?
But first you must do some steps:
1) Download this app and run it for getting instructions - DONE!
2) We need 4 sub-programms:
1 - game archives unpacker (writed by Sir Kaine)
2 - Blender 3d (blender.org) and plugin for it (writed by volfin)
3 - texture (tex) converter
4 - texture (dds) converter
All components already must be in folder 'tools', but we must check it:
go to the file-settings and check for red buttons on first tab - if there are none of this, you are lucky:)
If not, choose tools manually.
After that, if in first tab of settings all 4 programs is green, let's start exploring!
3. Unpacking archieves
Now we need to extract DEMD game archives, so we need installed game (or only 'runtime' folder).
If you already used DEMDExtract by Sir Kane, skip this step.
Simple click "file"-"convert game archives", choose your DEMD game 'runtime' folder (often it is C:\Program Files\Steam\steamapps\common\Deus Ex Mankind Divided\runtime, in this folder a lot of .archive and .pc_headerlib files) and folder where to store unpacked data. There are needed about 23 GB of free space.
After that, you can make a couple of tea or coffee - process not fast... But when console window will close, it's time for next operation - building of file tree! Don't worry, it's faster and fully automatical:)
3.1 How to open already unpacked base
Simple press "ctrl+O" and choose "namemap.txt" file - if there aren't file tree, it will be builded automatical. So it's time for another couple of tea:)
4. Looking for files
OK: on the left side you can see file tree, on the right - viewport. Simple click by files on filetree and they will be opened for seeing and exporting!
(If not - some of program components don't configured or this file format don't provided yet).
Controls:
mouse left button: dragging
mouse right button: rotation
mouse wheel: zooming
mouse middle dragging: zooming
mouse middle double click: reset view
5. Exporting files
You can save current file by pressing "file-export as..." or "ctrl+S" - it provide standart save dialog.
Another way - use the fast export option - simple click "ctrl+E" and file will be saved in preconfigured folder in chosen format.
If you want save all files in selected folder subfolders, you can use "mass export" option.
6. Trobleshooting
If you see some errors, please contact me. I wrote this app on summer holidays without thinking of program architecture - all I need is about ten files:) (battle riffle model and Adam)
7. For experiments
File tree in my program builds from this types:
"pc_weightedprim", "pc_tex", "pc_prim", "pc_linkedprim", "pc_hair", "pc_apex", "pc_swf", "pc_fsb".
If you want change it, close app, delete the file "converted_base.txt" (if exist) in folder where lay "NameMap.txt" (do not delete it!), create file "unpack_ext.txt" in app folder with names of formats one per line, start app and go to step 3.1. Enjoy!


Top tasks in Coronavirus (COVID-19)
-
-
Testing
Get a test to check if you have COVID-19, find out what testing involves and understand your test result
-
Vaccination
Get your COVID-19 vaccination, read about the vaccines and find out what happens when you have your vaccine
-
NHS COVID Pass
Find out how to get your COVID Pass to attend trial events in England or to travel abroad
-
Self-isolation and treating symptoms
Advice about staying at home (self-isolation) and treatment for you and anyone you live with
-
People at higher risk
Advice for people at higher risk from COVID-19, including older people, people with health conditions and pregnant women
-
How to avoid catching and spreading coronavirus (COVID-19)
Advice about what you can do to reduce your risk of catching and spreading COVID-19
-
Long-term effects (long COVID)
Find out about the long-term effects COVID-19 can sometimes have and what help is available
-
Using the NHS and other health services
Find out about changes to using health services, such as GPs and hospitals, because of COVID-19
-


Final Project for Data Analytics at UC Berekley
For our group project, we are looking at biodiversity in National Parks. We came to a consensus to choose this data set because we are all passionate about the environment.
The selected dataset contains three csv files- one including species data, another containing data on the parks themselves and the third including annual visitation to the parks. More specifically, the species csv has information on classification of certain animals, which parks they can be found in, and how common they are among other things. The parks csv contains information on coordinates and acreage of the parks as well as which respective states they are located in. We also cleaned up the data and created an additional csv that included native vs non-native species.
Contributors:
The initial question we investigated was to see if the increase in visitors to a park would increase the non-native species found there. Further investigation of the data also looked to see if there were any correlations to parameters such as location of the park and the presence of non-native species, grouped categories such as mammals, reptiles, plants, etc, and finally a correlation matrix.
As with most data that is open source, our data needed to be extracted, transformed, and loaded (ETL). A number of DataFrames were created in Jupyter notebook (Python) and the use of Postgres was utilized for these DataFrames. From there linear regressions were tested and graphs were created.
For our database, we utilized Amazon Web Services to host a Postgres Relational Database Service (RDS). Various tables were loaded into Postgres using SQL through PGAdmin including our final machine learning table. This allowed all team members to access the database server through PGAdmin as tables were updated and added throughout the course of the project. Some minor data cleaning was done to make the primary key column "Park Name" There was also a join done to add the average park visitation to the parks table and create a table that separated all the categories per park into native or none native.
Pre-Processing Data: The three csv's that were acquired from kaggle and loaded into our PostgresRDS needed to be transformed and merged into a final dataframe to feed the machine learning model. Below is an outline of steps that had to be completed for the final dataframe to come together:
For a detailed explanation see the README file: https://github.com/holleyvoegtle/Final_group_project/blob/main/README.md
Not native species can also be referred to as invasive species. An invasive species is any type of organism that is not native to an ecosystem. Invasive species pose a threat to parks & their native species by preying on native species, outcompeting native species, causing or carrying disease, preventing native species from reproducing and more. They are primarily introduced through human activities, unintentionally. The introduction of invaise species cause environmental and even economic harm. If left unmanaged, invasive species can cost billions of dollars to eradicate. For these reasons, national parks work tirelessly to evaluate, track and manage species found within parks to avoid the spread of invasive species. It is very important to analyze any and all trends that can share a relationship to the number or growth of invasive species.
Through our analysis we found a small positive correlation between the number average park visitors and the number of invasive species found. However, this was significantly less of a relationship than we had thought. Given not native species are usually introduced to an ecosystem through human activity, we thought there would be a high correlation between number of not native species and average park visitors.
A small correlation could mean a number of things. Some plausible explanations to a small correlation include:
National park management on invasive species and other outside factors cannot be address by our existing dataset. However, there are some challenges within the quality or consistency of our existing dataset that can play into the small correlation found between the number of non native species recorded and average visition for parks. There were 119,248 species recorded over 55 national parks. However, over 25,000 entries were null. That equates to 21% of our data having null or blank entires. Additionally, over 7,000 entries were "unknown" species, meaning the observer did not know whether they were native or not native. The lack of or unclear entries in our dataset could have had an impact on the relationship we found between average visitation and the number of not native species found within national parks.
Other interesting insights gathered from our dataset include:
We feel there is a lot more that can be explored outside of what our original datasets provided us to better understand the relationship between invasive species and park visitation. Our datasets alone do not paint a full picture around what variables impact the introduction & number of invasive species found within national parks.
Recommendations for future analysis & improvements include:
If you would like more information on the National Park Services current efforets to limit invasive species those can be found here:
If you would like more information on the National Park Services current efforets to limit invasive species those can be found here: https://www.nps.gov/articles/invasive-species.htm.


keySet()
of a java.util.Map
instance,
where the iterated keys are used to retrieve the values from the map. Such
iteration may be more efficient when replaced by iteration over the
entrySet()
or values()
(if key is not actually used).
Similarly keySet().forEach(key -> ...)
can be replaced with forEach((key, value) -> ...)
if values are retrieved
inside lambda.
Example:
for (Object key : map.keySet()) {
Object val = map.get(key);
}
After the quick-fix is applied:
for (Object val : map.values()) {}


Click this heading to get the x (horizontal) and y (vertical) coordinates of the mouse pointer when it was clicked.
Tip:
Try to click different places in the heading.


health Health Climate rural Kentucky climate Public vulnerability Environmental heat change extreme populations indicators Change public vulnerable National environmental mental United effects urban areas U.S. exposure Green River local Department data high {border-style Research flooding identified px;} #ffffff;} events District department population Assessment county emergency Disease Impacts Table States: USA collab: mortality negative particularly Human chronic level review risk Global Prevention air associated counties district drought drought, hazards DC, Program Rural States Tracking Washington, Western article average community economic framework heat, heat-related higher human impacts living national state EPHT However, International areas, climate-related communities days diseases elderly example, key outcomes (such Heat Scientific and/or available care datasets defined disease levels number precipitation project px; use {font-family Agency American Balbus Centers Control Figure Medicine Services assessment conditions existing font-size identify morbidity response results seven study temperatures water ./ehp. Center Disaster Disasters GRDHD Healthy Indicators People Perspectives Review ]). access asthma developed disease, double; emissions gap increase indicator indicators. individuals low natural percentage portal quality related social status surveillance temperature vulnerability, (compared CDC Cabinet Children Drought Epidemiology Family Furthermore, GRD Kentucky. Local States, Vulnerability Webster adaptation annual border-color border-width challenges children climatic combination concerns counties, current dates develop diabetes, experience experienced exposure, flood groups highest highly include ozone policies poverty primary programs. projected reducing region relevant solid; spatial used visits {font-style {font-weight (.%) ./ijerph ./j.-...x ./s--- Assessing Berry Chapter County Data Daviess Daviess, Development Emergency Finally, Gamble Goal Hancock, Health. Luber Management McGeehin McLean, Network Office Ohio, Protection Reid ]), agriculture area areas. bold capacity cerebrovascular chapter control courier; death departments em; future geographic growing health. heart http://orcid.org/--- illness impact increased increasing interventions land likely literature matter need opportunities plans pp. preparedness, project's pt;} region. research residents resilience reviewed services severe sources using vector weather work workers year


Why passwords might finally go away - PC Magazine
The New YubiKey Will Help Kill the Password - WIRED Magazine
None of Google's 85,000 employees had been their work accounts compromised since it started requiring security keys to log in... - businessinsider.com
Yubico solution enables business to secure user access... - businesswire.com
Secure sign in from a mobile device... - digitaltrends.com
With daily news of data breaches and stolen passwords, it’s more important than ever to know that your accounts are protected. We support X509 two-factor authentication.
All your applications under one authentication framework. Protected by two-factor authentication.
Securing your business data is paramount. Stop phishing and hacking attempts against your employees.


A Better Way
To Manage your Day
Sign In
Email
Password
Forgot Password?
Sign In
or
Sign in With Google


Aristocrat and estranged wife begin latest round of Anglo-Scottish legal battle
Five Supreme Court justices are analysing the dispute.
An aristocrat and his estranged wife who disagree over where they should stage a fight over money have begun the latest round of an Anglo-Scottish legal battle which has spanned more than four years.
Five Supreme Court justices began analysing the dispute between Charles Villiers and Emma Villiers at a hearing in London on Monday.
Mr and Mrs Villiers, who lived near Dumbarton and separated 18 years after marrying, are divorcing in Scotland.
But they disagree over whether arguments over money should be heard in an English or Scottish court.
Mr Villiers, 56, says because divorce proceedings are taking place in Scotland any fight over money should also be staged in Scotland.
His wife, who now lives in England, disagrees.
A judge based in the Family Division of the High Court in London initially considered the case.
Mrs Justice Parker, who began analysing arguments in 2015, said any fight over the division of assets should take place in England.
In 2018, three Court of Appeal judges in London upheld that decision and dismissed an appeal by Mr Villiers.
They said divorce proceedings in Scotland and a money fight in England were not “related actions”.
Mr Villiers then asked Supreme Court justices to consider the case.
Five Supreme Court justices are due to hear arguments from lawyers representing Mr and Mrs Villiers and the Ministry of Justice over two days.
They are expected to publish a ruling next year.
Mr and Mrs Villiers are listed on the website www.thepeerage.com.
The website provides a “genealogical survey” of the peerage in Britain.
Lawyers representing Mr Villiers say he is a relative of the Duchess of Cornwall.


After the 2020 census results are released, all states in the US will be redrawing district maps based on new population
data. Our goal in with this research is to first make shape files of voting precincts more transparent and accessible. Many
states in the US do not currently make precinct shape files publicly available, which are often the building blocks used
by state legislatures to draw district maps. By making data public and accessible in more formats, we will help
democratize the redistricting process.
We also aim to use voting and geographic data to create a basis for contesting
a given district map as gerrymandered. Many measurements of
gerrymandering are flawed. Take for example the Pennsylvania Seventh District, aka "Goofy kicking Donald Duck".
This disctrict seems gerrymandered because it is a very nonstandard, noncompact shape, which indicates to us that someone went out of
their way to group certain areas together that are the opposition party, a technique called
packing. Thus one technique of measuring
gerrymandering, the
Polsby-Popper test measures the
compactness of a shape. Arizona used this test in its 2000 redistricting commission with the idea that low compactness makes
a stronger case for gerrymandering. This test gels well with the "you-know-it-when-you-see-it" principle, but it can be misleading
and hide nuance. For example, a complication arises when respecting natural features. Additionally, many of the most offensive
district shapes came from the time of hand-drawing, but computers have made it possible to ensure similar election results while
maintaining 'reasonable' looking shapes. Even if you accept that the Polsby-Popper test detects gerrymandering, there is the issue
of the Voting Rights Act. This act and subsequent supreme court cases establish that district maps can't disadvantage voters
because of their race. Thus, there could be ambiguity about whether a district is built to 'pack' opposition voters, or whether it is
designed to create an opportunity district for a minority racial population.
The Polsby-Popper test is but one example of measurements designed to define gerrymandering that face serious flaws. What I find to
be the common demoninator amongst these tests is that they try to tell the whole story by looking at one aspect of the data, and they
often are based on either geographic or election data, but not both. I am very excited to be working on this research, because I
believe it avoids this trap and still provides a solid basis for claiming a map to gerrymandered using outlier analysis. We are
using a method developed by the
Metric Geometry and Gerrymandering Group. Using a Markov Chain Monte Carlo modeling, this
method creates a large random sampling of district maps. You can find a more detailed mathematical explanation
here.
This by simulating hypothetical elections based on recent election data on all the maps in this large sample, we can create a histogram
to show the liklihood of different election results. We can then compare the map drawn by the legislatures and see where they fall on
this histogram. If the election results of the legislature's map are an outlier, that builds a strong case that their map was designed to
specifically advantage one part.


Drake
math Directory Reference
Directory dependency graph for math:
This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.


Lib Json Stream Example
Json to Write:
Second json to Write:
Encoded byte length:
Second time encoded byte length:
Json Restored:
Second json Restored:
Measure Encode large json:


You can see our show schedule below! Come hang, chill, kick it, etc. with us. All we ask is that you laugh SO LOUDLY. Don't hurt our egos, please.


{% extends 'base.html' %} {% load static %} {% block content %} {% include 'partials/_menu.html' %}
Your digital and personalized HOLDHAND store. Here you will find shirts, pants, blouses, accessories, caps and key chains. Feel free to contact us!
The following field is mandatory to reset your password on the HOLDHAND website


Kateryna Dodukh, National Transport University, Docent at the Department of Road Design, Geodesy and Land Management. https://orcid.org/0000-0003-2544-5359
Anton Palchyk, National Transport University, postgraduate student of department of tourism, https://orcid.org/0000-0002-1467-3658
Abstract: The work is devoted to the solution of the issue of economic and safe transportation of goods and passengers by road. This transportation depends on the condition of roads, road surface, vehicle type and weather conditions. Weather conditions are taken into account both in terms of visibility (meteorological) and in terms of the coefficient of adhesion.
The general criterion for assessing all conditions is the average speed of the vehicle, taking into account weather and road conditions. Weather conditions are determined by the type of visibillity: clear weather, rain, snowfall, blizzards, rain. By the coefficient of adhesion: dry surface, normal, wet, snow, ice. By road conditions: category of road, width of the travel section, radii of horizontal curves, longitudinal slopes, width of the road, the state of surface (coefficient of solidity). According to weather conditions, the calendar year is divided into three periods according to the conditions of cars’ movement.
The first (winter) - December, January, February, March; second (spring-summer) - April, May, July, June, August; third (autumn) - September, October, November. The use of weather conditions in the Northern regions of Ukraine is presented in this work.
Article language: English
Referenses:
7.Neizvestna N.V. Krasylnykova O.V. Rozrakhunok propusknoyi zdatnosti kiltsevykh rozvyazok. Avtomobilni dorohy i dorozhnye budivnytstvo: Naukovo-tekhnichnyy zbirnyk. 2012. Vyp. 86. S. 3-7.
Open Access: http://publications.ntu.edu.ua/avtodorogi_i_stroitelstvo/110/158.pdf
Online publication date: 25.02.2021
Print date: 01.02.2021


This is our gorilla exhibit.
Gorillas are the largest living primates, reaching heights between 1.25-1.8 metres, weights between 100–270 kg, and arm spans up to 2.6 metres, depending on species and sex.
They tend to live in troops, with the leader being called a silverback. The Eastern gorilla is distinguished from the Western by darker fur colour and some other minor morphological
differences. Gorillas tend to live 35–40 years in the wild.