Jahangir Tareen hopes opposition would stuck to agreement
by https://www.facebook.com/dunyanewsLAHORE (Dunya News) – Senior leader of PTI Jahangir Tareen on Sunday said government has not stopped Azadi March at any point so opposition must stuck to the agreement.
Addressing to media in Lahore, he said Shehbaz Sharif has always spoken big words but this government is correcting the things that were badly dealt in previous regimes.
Earlier, Tareen said there are reports of huge funding for the Azadi March of JUI-F.
Talking in Dunya News program ‘Dunya kamran Khan Kay Sath,’ he said such things could not happen without resources and we know from where the funds are coming.
He said traders did not give a single penny for Azadi March but JUI-F must explain about funding as it would raise questions. He said Maulana Fazlur Rehman could not get public fame and government would not create hurdles for the marchers.
Tareen said we wish people use their democratic right and government would act responsibly, adding that roads leading to Red Zone would be blocked.


EK
About
Gallery
Works
Contacts
Hi, my name is Eugenia and i'm photographer. On this web-site you can see my photos, projects and each other.


Favorite Places
Favorite Places to Visit
Powells Book
Frank's Noodle House
Epicodus
Favorite Parks
Mount Tabor
Forest Parks
Mills End Park


POST https://motorbot.io/api/oauth2/token HTTP/1.1
Authorization: Basic <base64 encoded client_id:client_secret>
Content-Type: application/json
Get an access_token
and refresh_token
for the signed in account.
| Header Field | Value |
| Authorization REQUIRED |
Base64 encoded string containing the client_id and client_secret . The fields value must have the following format: Basic <base 64 encoded client_id:client_secret> |
| Content-Type REQUIRED |
The content-type for the request body should be of type application/json |
| Request Body Parameters | Value |
| grant_type REQUIRED |
As per the OAuth 2.0 standard this should be set to authorization_code |
| redirect_uri REQUIRED |
Should be set to the previously used redirect_uri that was used to retrieve the authorization_code |
| code REQUIRED |
Should contain the received authorization_code |
Important
The client_id
and client_secret
can also be passed via the request body, however, we strongly encourage the use of the authorization request header.
On success, the HTTP status code in the response header will be set to 200
OK and the response body
will contain an access token object in JSON format. Should an error occur, the header status code in the response header
will be set to the OAuth 2.0 defined standard, 400
Bad Request.
HTTP/1.1 200 OK
Content-Type: application/json
| Key | Value |
| access_token | The user issued access_token to be used in endpoints that require the Authorization request header |
| expires | The number of seconds until the access_token will expire. By default the generated access_token is valid for 24 hours from the time issued |
| token_type | How the access_token should be used. This value should always be bearer |
{
"access_token": {accesstoken},
"expires": 86400,
"token_type": "bearer"
}


--- layout: default title: "404: Page not found" permalink: 404.html ---
Sorry, this URL isn't working.
Head back home, or please get in touch if something's broken.


Existing tools
Rootkits
Backdoors
Trojans
Port knockers
Adding accounts
Things like netcat backoors, inetd modifications, process injection, stealing credentials
Different perspective on persistence:
If you can always re-exploit...who cares
Inject, add, modify new vulnerabilities
Hard to determine maliciousness
We all know its hard to find bugs, now imagine someone is purposefully putting the bugs in
Persistence
Covert accounts
Add an account / renable
Modify local account policies to allow access
Add it to the admin group (net localgroup)
Only use AT to run your commands
Persistence without adding files, new accounts
Unlikely to be discovered
Stealth / Evading Detection
Using Windows security objects for stealth
Auditing of Securable Objects is controlled by SACL's
Null SACL = No Auditing = No Logs


the action of emphasizing something; the prominence of a thing relative to the normal; the manner in which accents are apparent in pronunciation, or indicated in writing
a word or phrase, especially with regard to style or idiom; an utterance regarded in terms of its intrinsic meaning or reference, as distinct from its function or purpose in context
a wide strap that runs over the back and under the belly of a horse, used to keep a blanket or other equipment in place
knowledge, awareness, or notice; a distinctive device or mark, especially an emblem or badge formerly worn by retainers of a noble house
a person who refuses to submit to an authority or to comply with a regulation
lack of mental or spiritual vigor and enthusiasm; exhaustion caused by lack of nourishment
each of two parts into which a thing is or can be divided; a part or portion, especially a lesser share
The statues in this story represent demons, or sin, pushing the narrator into the pit that he fears.
The pit represents Hell, or the place where the condemned fall and reside in agony. The pits were not meant to give the victim peace through death, but rather suffering in life, similarly to hell; "Neither could I forget what I had read of these pits-that the sudden extinction of life formed no part of their most horrible plan"(Poe 172).
General Lasalle represents a savior- more specifically God, who rescues the sinner (our narrator) from the pits of hell and the demons trying to push him into it.
The Pit and the Pendulum is, at first reading, a plain horror story, but upon deeper reading, it contains several symbols that convey the message of a sinner condemned being rescued by God right before he falls into hell.
Victims are restrained on a table, then warm or cold water is dripped slowly on their head. This would slowly drive the victim insane. It was considered "humane" by the Spanish Inquisition.
Exactly like it sounds, the Head Crusher literally smashed a victims head. The victim's chin would be placed on a metal bar, and their head under a cap, and the torturer would slowly lower the cap, first crushing a victim's teeth, then the eyes, then eventually the brain.
A rope attatched to a pulley would hang a victim by the arms until their shoulders popped out of socket. Jumps and weights were sometimes added for extra pain.
Victim's arms and legs would be tied and then pulled forcibly by ropes in opposite directions, this would dislocate and eventually rip off the arms and legs. Seeing a person tortured like this could often make another victim confess.


Getting Started with GSF
Here's a quick checklist for how to get started writing
language support with GSF.
-
First, you need to write a mime resolver to
associate source files of your language with a given
mime type. Your language will be associated with this
unique mime type. This is described in the
mime resolver document.
-
Next, you need to write a lexer for your language.
This is described in the
lexing document.
-
Next, you need to write register your lexer with
GSF and set up basic GSF registration for your language.
This is described in the
registration document.
At this point, you have basic support for you language -
you can recognize and open files in the IDE, and the
files are syntax highlighted.
-
Next, you can create an implementation of the
KeystrokeHandler
and register it with GSF, to support keystroke handling for
your language. This is where you can make matching quotes, parentheses
etc. happen automatically, as well as implementing return-key handling
such that you provide smart-indent, inserting matching tags when you
open an if-clause, and so on.
Formatter.
This will provide basic indentation/formatting for your language.
-
At this point, you should be writing unit tests to check your features,
for all kinds of corner cases, as well as a guard against regressions
as you're improving your code. Unit testing GSF features is trivial; see
the unit testing document for more details.
-
The above features only relied on lexical analysis of your language.
The next set of features will require semantic/parse information.
To do this, you need to implement a parser for your language by implementing a
Parser.
Your parser will be called at the right times - and this topic
is explored in more detail in the
parsing document.
-
Once you have a parser, you can implement some basic features that require
parser information.
First, implement the
StructureScanner
interface. This lets you to provide a code outline of the current
file in the navigation window, as well as code folding regions in the editor.
You basically just need to iterate over your own parse tree, decide which
regions should be code folding regions and register them with GSF. Similarly,
for navigation, you just need to identify relevant "code elements" from your
AST, and then tell GSF about them using logical descriptors like
"method", "attribute", "tag", etc.
-
Next, you can add some other related features which rely on your parsing result:
SemanticAnalyzer,
OccurrencesFinder, and
InstantRenamer.
These features let you provide semantic highlighting (e.g. highlighting unused
variables, method declarations, etc), mark occurrences, and instant rename - refactoring
for things like local variables and parameters which doesn't require full blown
multi-file refactoring.
-
If you are developing support for a language which can be embedded in other
languages (such as JavaScript, which is embedded in HTML files etc., or Ruby,
which is embedded in ERb files), you need to handle the embedding aspects
of languages. At the syntactic level, this is handled completely by the
embedding language support. But at the parse level, it will require coordination
as well as careful use of offset translation methods; you should never assume
that your AST node offsets correspond to the offsets in the document.
This is described in more detail in the embedding document.

To do this, you need to have a persistent store such that you can quickly
query and find information across files and libraries. To do this, you need
to implement an indexer. The indexer is called by the infrastructure when needed,
and lets you extract information from parse results and store them into an index.
This is all explained in greater detail in the indexing document.
You will also need to tell GSF how the user's project related to source code,
such that multifile analysis can be properly scoped. This part is described in
the classpath document.
-
With the index in place, you can now implement code completion using the
CodeCompletionHandler
interface. Here, you will most likely draw on everything you have built up to
this point. Lexical analysis, to for example determine if you're in a string or
a comment (where different completion alternatives present themselves), then the
parser AST to determine things like local variables, and finally the index to
determine other functions and classes in the project. Code completion also typically
involves attempting to analyze code which is broken (because you're in the middle
of typing an expression) so error recovery as discussed in the
parsing document will also need to be perfected.
You can also implement Go To Declaration at this point, by implementing the
DeclarationFinder
interface and registering it with GSF.
I hope to write a more detailed document with information on how to write code
completion soon.
-
At some point, you should consider adding incremental updating support,
such as incremental parsing. This is described in detail in the
incremental parsing document.
Tor Norbye <tor@netbeans.org>


| A 3D feature film about Sir Edmund Hillary's monumental and historical ascent of Mt. Everest in 1953 - an event that stunned the world and defined a nation. | |
| Genres: | Documentary, Adventure, Drama, History |
| Director: | Leanne Pooley |
| Writer: | Matthew Metcalfe, Leanne Pooley |
Cast: | Edmund Hillary - Chad Moffitt Tenzing Norgay - Sonam Sherpa Colonel John Hunt - John Wraight George Lowe - Joshua Rutter Tom Bourdillom - Daniel Musgrove Charles Evans - Erroll Shand Ang Nylma - Phurenje Sherpa Pemba - Jimmy Kunsang Alfred Gregory - Callum Grant Wilfred Noyce - Matthew Metcalfe Sherpa 1 - Pasang Dawa Sherpa Sherpa 2 - Nima Wang Chhu Himself - Edmund Hillary Himself - John Hunt Himself - Tenzing Norgay |


xUnit.BDDExtensions.Reporting.Specs
(13 concerns ,
27 contexts,
40 observations)
String specifications
(1 context, 1 observation)
After this "fake" specification has been executed
(1 observation)
- it should effectively do "nothing"
ReportEngine specifications
(1 context, 3 observations)
When running the reporting engine
(3 observations)
- should get the target assemblies from the arguments
- should build a report model for each configured assembly
- should generate a report based on each report model
Observation specifications
(4 contexts, 10 observations)
When building observations from a valid context type
(1 observation)
- should create observations for all public methods marked with the "ObservationAttribute"
When building observations from a type without marked methods
(1 observation)
- should create an empty collection
After creating a readable representation of an "Observation"
(4 observations)
- should have lower cased the first letter
- should have replaced underscores with spaces
- should have replaced double underscores with double quotes
- should have created the expected text
After creating a readable representation of a "Context"
(4 observations)
- should have capitalized the first letter
- should have replaced underscores with spaces
- should have replaced double underscores with double quotes
- should have created the expected text
CollectionArgumentKey`1 specifications
(3 contexts, 3 observations)
When reading an existing set of string values from a map of arguments
(1 observation)
- should be able to obtain the collection for the specified key from the map
When reading an from an empty map of arguments
(1 observation)
- should return an empty collection
When reading an existing set of int values from a from a map of arguments
(1 observation)
- should be able to obtain the values for the specified key from the map
ArgumentMapFactory specifications
(4 contexts, 5 observations)
When mapping console arguments to a one to many map
(2 observations)
- should split the arguments based on a slash and a colon
- should group multiple occurances of an argument by the key
When mapping console arguments containing a file path to a one to many map
(1 observation)
- should be able to extract the file path
When mapping console arguments containing a file path with spaces to a one to many map
(1 observation)
- should be able to extract the file path
When trying to mal formatted console arguments
(1 observation)
- should throw an "ArgumentExeption" indicating malformatted arguments
AssemblyLoader specifications
(2 contexts, 2 observations)
When trying to load an assembly by the assembly name
(1 observation)
- should be able to load the assembly
When trying to load an assembly by its file name
(1 observation)
- should be able to load the assembly
Pluralizer specifications
(3 contexts, 3 observations)
When deciding whether to pluralize a specified name based on a specified amount and the amount is equal to one
(1 observation)
- should not pluralize the name
When deciding whether to pluralize a specified name based on a specified amount and the amount is less than one
(1 observation)
- should not pluralize the name
When deciding whether to pluralize a specified name based on a specified amount and the amount is larger than one
(1 observation)
- should pluralize the name
Arguments specifications
(1 context, 1 observation)
When queried with a key and the value exists in the underlying data source
(1 observation)
- should be able to retrieve the related value
Assembly specifications
(2 contexts, 2 observations)
When trying to find all types in an assembly matching a specified criteria
(1 observation)
- should find all types matching the criteria
When trying to read the name of an assembly
(1 observation)
- should return the short name of the assembly
SimpleArgumentKey`1 specifications
(2 contexts, 2 observations)
When reading an existing string value from a map of arguments
(1 observation)
- should be able to obtain the correct value for the specified key from the map
When reading an existing int value from a map of arguments
(1 observation)
- should be able to obtain the correct value for the specified key from the map
Context specifications
(1 context, 2 observations)
When building a context from a valid context type
(2 observations)
- should create observations for all public methods marked with the "ObservationAttribute"
ModelBuilder specifications
(1 context, 4 observations)
After a report model has been build from an assembly
(4 observations)
- it should precisely indicate how many "Context" specifications have been found
- it should precisely indicate how many "Concerns" have been found
- it should precisely indicate how many Observations have been found
- it should reference the short name of the assembly it was build from
DirectiveManagerProxy specifications
(2 contexts, 2 observations)
When a directive is registered inside NVelocity and NVelocity has been merged into BDDExtensions
(1 observation)
- should replace the assembly part of the assembly qualified name with the name of BDDExtensions
When a directive is registered inside NVelocity and NVelocity was not merged into BDDExtensions
(1 observation)
- should not update the directives assembly qualified name


Welcome to {{ title }}!
This is a demo application for the angular angular-google-tag-manager package
click on the pages link anevent then inspect this page and take a look to the google tag manager included scripts and
"dataLayer" global variable
page 1 -
page 2 -


Guidelines on road transport act in final stage, says transport minister
by bdnews24.comRoad Transport and Bridges Minister Obaidul Quader has said the guidelines on the new road transport act are in the final stages.
“Once it is done, there won't be any problem with the enforcement of the law,” he told a news conference at Awami League's Dhanmondi offices on Thursday.
Transport owners and workers called off their strike after the government promised to address their concerns over the new law on Wednesday. However, bus services on several long routes are yet to fully resume.
"There is no reason to interrupt traffic. There will be no unnecessary harassment by law enforcement. The home minister himself is guiding the matter and senior police officials have made it clear that they will enforce the law properly,” said Quader.
"We are drafting the rules by taking the current situation into consideration. There's no reason for the situation to get out of hand. Everything was resolved through discussion.”
The transport minister thanked the owners of the truck and the cover-van for withdrawing the strike in the public interest.
The government introduced the new law following an unprecedented movement by students for safer roads, after two students were killed in separate road accidents in Dhaka.
The legislation has a provision for a five-year jail term and a fine as punitive measures for deaths in road crashes which has caused concern for transport owners and workers alike.


To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video


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CELEBRITY (M). (Sweetland Films/Village Roadshow) Director: Woody Allen Stars: Kenneth Branagh, Judy Davis, Joe Mantegna, Melanie Griffith, Famke Janssen, Winona Ryder, Leonardo DiCaprio, Charlize Theron, Hank Azaria, Michael Lerner, Gretchen Mol, Bebe Neuwirth, Greg Mottola, Monique Fowler, Isaac Mizrahi, Dylan Baker, Patti D'Arbanville, Sam Rockwell, Ned Eisenberg, Aida Turturro Running time: 113 minutes.
In his 28th film as director, Woody Allen gives us his own cynical take on Andy Warhol's famous line that everyone will find their fifteen minutes of fame. For him, fame is a double edged sword. While some people desperately crave fame and are prepared to do virtually anything to achieve it, there are others who are content to worship celebrities from afar. Celebrity proves to be Allen's most satisfying and entertaining film for quite some time.
Although full of his usual trade mark quips, self-effacing one-liners, and familiar neurotic characters, it also marks something of a minor departure. He seems to be moving away from increasingly bland, introspective examinations of his own troubled private life to tackle broader, more mainstream subject matter. However, many within the audience will still try to read between the lines and identify which characters are drawn from Allen's own life. He has also returned to filming in black and white, which somehow suits the film's melancholic mood.
The film follows the parallel fortunes of frustrated, egotistical writer Lee Simon (Kenneth Branagh) and Robin (Judy Davis), his ex-wife. Their relationship is explored through a series of flashbacks, and accidental encounters at various social gatherings in Manhattan. A journalist who is attracted by the allure of the rich and famous, Simon seems destined to always remain on the periphery of the world he so desperately craves. His conquests (including Charlize Theron, former Bond girl Famke Janssen, and Winona Ryder) all end badly.
Robin however has grown disillusioned at his womanising and lack of success and divorced him. We first meet her at a religious retreat where she has gone, reluctantly looking for spiritual guidance. She later meets television producer Tony Gardella (Joe Mantegna), and finds love and happiness all over again. However, while Robin is confidently building a new life and a new career, the shallow, womanising Simon seems to be standing still, repeating his mistakes all over again.
As usual, Allen crams the film full of famous faces, many wasted in fleeting cameos and small roles that really don't allow them to do much.
Playing Allen's alter-ego here, Branagh does an uncanny job of channelling his usual persona through his superbly realised performance. He brilliantly assumes his mannerisms, his inflections and his nervous speech rhythms to a tee. Allen always seems to draw the best out of Davis, and she is superb here. Her wonderfully comic performance brings some fire and passion to the material.
Leonardo DiCaprio is also good in a smaller role as the brash, hot young actor who abuses his status, while Melanie Griffith brings a certain style to her role as a famous film actress.
*** greg king http://www.netau.com.au/gregking
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


If you need some easy links to searches, check out some dynamically generated sample searches. And, if you want the Frostheart cards, Enjoy!
I've also made available an "Orange Tracker" to keep up to date on the most recent Orange posts on the Hex forums.
I've also put together some pages that give snapshots of prices in the Hex Economy.
I wrote a Hex API parser that uses the Hex game API to get some useful information.
Finally, my In Game Name is 'Dylan'. If you like this page, the service it provides and are so inclined, feel free to take a look at my want list and throw me a card or two. If you don't have any of those, throw some Gold my way (or Plat, if you have any extra). Every little bit helps and is greatly appreciated.
The Hex Search Engine and all code comprising it are provided without warranty, express or implied. They are shared under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Unported License. I make no claims to any of the names, descriptions, art or other materials that are served up by this search engine are retained by their respective owners including, but not limited to, Cryptozoic Entertainment and Hex Entertainment.


Parliament finally has a intelligence watchdog
by Jan GerberAlmost five months after the Sixth Parliament was constituted, it has a committee empowered to keep an eye on South Africa's intelligence agencies.
In a statement released on Thursday, it was announced that ANC MP Jerome Maake was appointed as the chairperson of the joint standing committee on intelligence (JSCI) on October 30.
About a month ago, News24 reported that amid controversies surrounding the State Security Agency, the JSCI had yet to start its work, apparently because consultations over who the chairperson should be had not been concluded.
When the ANC announced who its candidates for committee chairpersons would be in June, Bongiwe Mbingo-Gigaba was considered for the JSCI, but her nomination was not made official as the vetting required for the position was not completed.
After it emerged that the ANC had nominated a convicted fraudster, Zukisa Faku, for chairperson of the portfolio committee on basic education, Mbingo-Gigaba was nominated for that position.
Maake was the ANC's whip in the Fifth Parliament's portfolio committee on police and led the charge against the renewal of Robert McBride's term as head of the Independent Police Investigative Directorate (IPID).
The members of the committee were sworn in on Wednesday are:
- Lindiwe Bebee (ANC);
- Dorries Dlakude (deputy chief whip of the ANC);
- Masefako Dikgale (ANC);
- Nombulo Hermans (ANC);
- Bulelani Magwanishe (ANC);
- Kenneth Mmoielang (ANC);
- Jacqueline Mofokeng (ANC);
- Zukiswa Ncitha (ANC);
- Dianne Kohler-Barnard (DA);
- Martha Gondwe (DA);
- Cathlene Labuschagne (DA leader in the National Council of Provinces);
- Mbuyiseni Ndlozi (EFF).
A further swearing-in of members of the JSCI is required, due to the confidentiality of their work.
It is one of only two bodies that oversee the intelligence services. The other is the Inspector General of Intelligence (IGI) which reports to the committee.
The committee does its work behind closed doors.


Credits
A big thank you to the following supporters and collaborateurs:
deepdarkdusk
the projects lector
eldw
the projects consultant
Slash
for the awesome audio tracks featured in the videos
contributers
to the fine open source projects I used


| Package | Description |
|---|---|
| cucumber.api | |
| cucumber.api.cli | |
| cucumber.api.event | |
| cucumber.api.formatter | |
| cucumber.api.guice |
This module allows you to use Google Guice dependency injection in your Cucumber tests.
|
| cucumber.api.java | |
| cucumber.api.java8 | |
| cucumber.api.junit | |
| cucumber.api.needle |
By including the
cucumber-needle jar
on your CLASSPATH your Glue classes will be instantiated
by needle. |
| cucumber.api.spring |
By including the
cucumber-spring jar
on your CLASSPATH your Step Definitions will be instantiated by Spring. |
| cucumber.api.testng |
Copyright © 2019. All rights reserved.


Bin-Cat Melanoma Example
source("./scripts/common-functions.R")
source("./scripts/graphing/graph-presets.R")
source("./analysis/binary-categorical-1/binary-categorical-1-functions.R")
library(magrittr) # pipes
library(dplyr) # data wrangling
library(ggplot2) # graphs
library(janitor) # tidy data
library(tidyr) # data wrangling
library(forcats) # factors
library(stringr) # strings
library(lubridate) # dates
library(readxl) # for import
library(explore) # for describe_all()
library(scales) # formatting
library(rlang) # tidy evals - see https://edwinth.github.io/blog/dplyr-recipes/ and
library(labelled) # labels - see https://cran.r-project.org/web/packages/labelled/vignettes/intro_labelled.html
library(gtsummary) # tables for regression
library(gt) # tables
library(pROC) # ROC curve calculation, `ggroc()`
::theme_set(
ggplot2::theme_bw(
ggplot2+
)theme(
strip.background = element_rect(fill="grey95", color = NA)
)
)
# default colors to represent effect direction and significance
<- c(
pal_sign_dir "Increase (99%)" = "#2b8cbe"
"Increase (95%)" = "#7bccc4"
,"Increase (90%)" = "#bae4bc"
,"Not Significant" = "NA"
,"Decrease (90%)" = "#fdcc8a"
,"Decrease (95%)" = "#fc8d59"
,"Decrease (99%)" = "#d7301f"
,
)# Direction of Effect (Significance Level at %)
# To help with meaningful colors of effect interpretation
# Establish the folder for printing plots
<- paste0("./analysis/bin-cat-melanoma/prints-1/")
prints_folder if(!file.exists(prints_folder)){dir.create(file.path(prints_folder))}
# Establish the folder for data cache
<- paste0("./data-unshared/derived/bin-cat-melanoma/")
data_cache_folder if(!file.exists(data_cache_folder)){dir.create(file.path(data_cache_folder))}
<- "data-unshared/derived/0-import-1.rds" # data source, see ellis in ./manipulation path
# ds0 <- readr::read_rds(paste0("../../",path))
<- readr::read_rds(path)
ds0 source("./analysis/binary-categorical-1/binary-categorical-1-functions.R")
%>% names_labels() %>% select(name) ds0
name
1 time
2 status
3 sex
4 age
5 year
6 thickness
7 ulcer
8 sex_factor
9 ulcer_factor
10 status_factor
11 t_stage_factor
12 mort_5yr
look_for(ds0)
pos variable label col_type values
1 time — dbl
2 status — dbl
3 sex — dbl
4 age Age (years) dbl
5 year Year dbl
6 thickness — dbl
7 ulcer — dbl
8 sex_factor Sex fct Female
Male
9 ulcer_factor Ulcerated tumour fct Absent
Present
10 status_factor Status fct Alive
Died melanoma
Died - other
11 t_stage_factor T-stage fct T1
T2
T3
T4
12 mort_5yr 5-year survival fct No
Yes
::column_rename_headstart(ds0 ) # to help getting started OuhscMunge
dplyr::select( # `dplyr::select()` drops columns not included.
time = `time`,
status = `status`,
sex = `sex`,
age = `age`,
year = `year`,
thickness = `thickness`,
ulcer = `ulcer`,
sex_factor = `sex_factor`,
ulcer_factor = `ulcer_factor`,
status_factor = `status_factor`,
t_stage_factor = `t_stage_factor`,
mort_5yr = `mort_5yr`,
)
# white list of project scope (included as needed)
<- c(
variables_labels_focus "time" = "time",
# "status" = "status",
# "sex" = "sex",
"age" = "age",
"year" = "year",
# "thickness" = "thickness",
# "ulcer" = "ulcer",
"sex_factor" = "sex_factor",
"ulcer_factor" = "ulcer_factor",
"status_factor" = "status_factor",
"t_stage_factor" = "t_stage_factor",
"mort_5yr" = "mort_5yr"
)<- names(variables_labels_focus) variables_in_focus
glimpse(ds0)
Rows: 205
Columns: 12
$ time <dbl> 10, 30, 35, 99, 185, 204, 210, 232, 232, 279, 295, 355, 386, 426, 469, 493,~
$ status <dbl> 3, 3, 2, 3, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, ~
$ sex <dbl> 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, ~
$ age <dbl> 76, 56, 41, 71, 52, 28, 77, 60, 49, 68, 53, 64, 68, 63, 14, 72, 46, 72, 95,~
$ year <dbl> 1972, 1968, 1977, 1968, 1965, 1971, 1972, 1974, 1968, 1971, 1969, 1972, 196~
$ thickness <dbl> 6.76, 0.65, 1.34, 2.90, 12.08, 4.84, 5.16, 3.22, 12.88, 7.41, 4.19, 0.16, 3~
$ ulcer <dbl> 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ~
$ sex_factor <fct> Male, Male, Male, Female, Male, Male, Male, Female, Male, Female, Female, F~
$ ulcer_factor <fct> Present, Absent, Absent, Absent, Present, Present, Present, Present, Presen~
$ status_factor <fct> Died - other, Died - other, Alive, Died - other, Died melanoma, Died melano~
$ t_stage_factor <fct> T4, T1, T2, T3, T4, T4, T4, T3, T4, T4, T4, T1, T3, T4, T3, T4, T4, T4, T4,~
$ mort_5yr <fct> No, No, No, No, Yes, Yes, Yes, No, Yes, Yes, Yes, No, Yes, Yes, Yes, No, Ye~
look_for(ds0)
pos variable label col_type values
1 time — dbl
2 status — dbl
3 sex — dbl
4 age Age (years) dbl
5 year Year dbl
6 thickness — dbl
7 ulcer — dbl
8 sex_factor Sex fct Female
Male
9 ulcer_factor Ulcerated tumour fct Absent
Present
10 status_factor Status fct Alive
Died melanoma
Died - other
11 t_stage_factor T-stage fct T1
T2
T3
T4
12 mort_5yr 5-year survival fct No
Yes
::describe_all(ds0) explore
# A tibble: 12 x 8
variable type na na_pct unique min mean max
<chr> <chr> <int> <dbl> <int> <dbl> <dbl> <dbl>
1 time dbl 0 0 194 10 2153. 5565
2 status dbl 0 0 3 1 1.79 3
3 sex dbl 0 0 2 0 0.39 1
4 age dbl 0 0 70 4 52.5 95
5 year dbl 0 0 13 1962 1970. 1977
6 thickness dbl 0 0 64 0.1 2.92 17.4
7 ulcer dbl 0 0 2 0 0.44 1
8 sex_factor fct 0 0 2 NA NA NA
9 ulcer_factor fct 0 0 2 NA NA NA
10 status_factor fct 0 0 3 NA NA NA
11 t_stage_factor fct 0 0 4 NA NA NA
12 mort_5yr fct 0 0 2 NA NA NA
<- ds0 %>%
ds1 select(variables_in_focus) %>%
rename(
"sex" = "sex_factor"
"ulcer"= "ulcer_factor"
,"status" = "status_factor"
,"t_stage" = "t_stage_factor"
,%>%
) mutate(
person_oid = row_number()
)# rm(ds0)
glimpse(ds1)
Rows: 205
Columns: 9
$ time <dbl> 10, 30, 35, 99, 185, 204, 210, 232, 232, 279, 295, 355, 386, 426, 469, 493, 529~
$ age <dbl> 76, 56, 41, 71, 52, 28, 77, 60, 49, 68, 53, 64, 68, 63, 14, 72, 46, 72, 95, 54,~
$ year <dbl> 1972, 1968, 1977, 1968, 1965, 1971, 1972, 1974, 1968, 1971, 1969, 1972, 1965, 1~
$ sex <fct> Male, Male, Male, Female, Male, Male, Male, Female, Male, Female, Female, Femal~
$ ulcer <fct> Present, Absent, Absent, Absent, Present, Present, Present, Present, Present, P~
$ status <fct> Died - other, Died - other, Alive, Died - other, Died melanoma, Died melanoma, ~
$ t_stage <fct> T4, T1, T2, T3, T4, T4, T4, T3, T4, T4, T4, T1, T3, T4, T3, T4, T4, T4, T4, T4,~
$ mort_5yr <fct> No, No, No, No, Yes, Yes, Yes, No, Yes, Yes, Yes, No, Yes, Yes, Yes, No, Yes, Y~
$ person_oid <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, ~
look_for(ds1)
pos variable label col_type values
1 time — dbl
2 age Age (years) dbl
3 year Year dbl
4 sex Sex fct Female
Male
5 ulcer Ulcerated tumour fct Absent
Present
6 status Status fct Alive
Died melanoma
Died - other
7 t_stage T-stage fct T1
T2
T3
T4
8 mort_5yr 5-year survival fct No
Yes
9 person_oid — int
::describe_all(ds1) explore
# A tibble: 9 x 8
variable type na na_pct unique min mean max
<chr> <chr> <int> <dbl> <int> <dbl> <dbl> <dbl>
1 time dbl 0 0 194 10 2153. 5565
2 age dbl 0 0 70 4 52.5 95
3 year dbl 0 0 13 1962 1970. 1977
4 sex fct 0 0 2 NA NA NA
5 ulcer fct 0 0 2 NA NA NA
6 status fct 0 0 3 NA NA NA
7 t_stage fct 0 0 4 NA NA NA
8 mort_5yr fct 0 0 2 NA NA NA
9 person_oid int 0 0 205 1 103 205


aida ylanan
data and graphics journalist @ los angeles times
work
selected writing
{% for obj in stories %} {% if obj.type == "writing" %}{{ obj.hed }}
{% if obj.related %}↳ related {{ obj.related }}{% endif %}
talks
{{ obj.date }} {{ obj.talk }} / {{ obj.host }}
{% endfor %}previous roles
{{ obj.date }} {{ obj.talk }} / {{ obj.host }}
{% endfor %}about
Hi, I'm a data and graphics journalist at the Los Angeles Times. I grew up in Long Beach, CA, and graduated from UCLA, where I studied statistics and English. When I'm not working, I like visiting museums, reading books, and traveling.
contact
twitter /
github /
linkedin /
latimes
✉ ylanan.aida [at] gmail [dot] com
résumé available upon request
updated august 2023


| 020:120 Khan | : |
Then Shaitan (Satan) whispered to him, saying: "O Adam! Shall I lead you to the Tree of Eternity and to a kingdom that will never waste away?" |
| 020:120 Maulana | : |
But the devil made an evil suggestion to him; he said: O Adam, shall I lead thee to the tree of immortality and a kingdom which decays not? |
| 020:120 Pickthal | : |
But the devil whispered to him, saying: O Adam! Shall I show thee the tree of immortality and power that wasteth not away? |
| 020:120 Rashad | : |
But the devil whispered to him, saying, "O Adam, let me show you the tree of eternity and unending kingship." |
| 020:120 Sarwar | : |
Satan, trying to seduce him, said, "Adam, do you want me to show you the Tree of Eternity and the Everlasting Kingdom?". |
| 020:120 Shakir | : |
But the Shaitan made an evil suggestion to him; he said: O Adam! Shall I guide you to the tree of immortality and a kingdom which decays not? |
| 020:120 Sherali | : |
But Satan whispered evil suggestions to him. He said, 'O Adam, shall I direct thee to the tree of eternity, and to a kingdom that never decays?' |
| 020:120 Yusufali | : |
But Satan whispered evil to him: he said, "O Adam! shall I lead thee to the Tree of Eternity and to a kingdom that never decays?" |
Concepts/Themes Covered: الإيمان > الغيب > الشيطان > وسوسته Faith> The Unseen World> Satan, the Devil> Satanic Temptations
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


The web is a system for publishing pages of information on the internet, and for linking pages together using links.
And would be useful but annoying if you had to type the precise address - the URL (uniform resource locator)
for every page you wanted
for you being a web developer you need to master:
Languages: HTML, CSS and JavaScript-Libraries and Frameworks: Bootstrap and jQuery-Git and GitHub-Optional: Design Software Sketch and Photoshop
web programmers or web coders, essentially make a website functions correctly on all browsers - both desktop and mobile by building the functionality,
interactivity and visible structure of the site.


{% extends 'generic/base.html' %} {% load static %} {% block content %}
Great! {{ story_topic }} has been created.
Share the link below to a friend to add to it!


Chapter 2 Vectorization, *apply and for loops
This section will cover the basics of vectorizations, the *apply
family of functions and for
loops.
2.1 Vectorization
Almost everything in R
is a vector. A scalar is really a vector of length 1 and a data.frame
is a collection of vectors. An nice feature of is its vectorized capabilities. Vectorization indicates that a function operates on a whole vector of values at the same time and not just on a single value1. If you have have ever taken a basic linear algebra course, this concept will be familiar to you. Take for example two vectors: \[
\begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix} +
\begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix} =
\begin{bmatrix} 2 \\ 4 \\ 6 \end{bmatrix}
\] The corresponding R
code is given by:
a <- c(1,2,3)
b <- c(1,2,3)
a+b
## [1] 2 4 6
Many of the base
functions in R
are already vectorized. Here are some common examples:
# generate a sequence of numbers from 1 to 10
(a <- 1:10)
## [1] 1 2 3 4 5 6 7 8 9 10
# sum the numbers from 1 to 10
sum(a)
## [1] 55
# calculate sums of each column
colSums(iris[, -5])
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## 876.5 458.6 563.7 179.9
Exercise: What happens when you sum two vectors of different lengths?
2.2 Family of *apply
functions
apply
,lapply
andsapply
are some of the most commonly used class of functions inR
*apply
functions are not necessarily faster than loops, but can be easier to read (and vice cersa)apply
is used when you need to perform an operation on every row or column of a matrix or data.framelapply
andsapply
differ in the format of the output. The former returns a list while the ladder returns a vector- There are other
*apply
functions such astapply
,vapply
andmapply
with similar functionality and purpose
2.2.1 Loops vs. Apply
# Getting the row means of two columns
# Generate data
N <- 10000
x1 <- runif(N)
x2 <- runif(N)
d <- as.data.frame(cbind(x1, x2))
head(d)
## x1 x2
## 1 0.05737701 0.6981417
## 2 0.38872652 0.5607380
## 3 0.24303232 0.7795124
## 4 0.90139764 0.1903174
## 5 0.20297410 0.1139873
## 6 0.60176972 0.8328472
# Loop:
# create a vector to store the results in
rowMeanFor <- vector("double", N)
for (i in seq_len(N)) {
rowMeanFor[[i]] <- mean(c(d[i, 1], d[i, 2]))
}
# Apply:
rowMeanApply <- apply(d, 1, mean)
# are the results equal
all.equal(rowMeanFor,rowMeanApply)
## [1] TRUE
2.2.2 Descriptive Statistics using *apply
data(women)
# data structure
str(women)
## 'data.frame': 15 obs. of 2 variables:
## $ height: num 58 59 60 61 62 63 64 65 66 67 ...
## $ weight: num 115 117 120 123 126 129 132 135 139 142 ...
# calculate the mean for each column
apply(women, 2, mean)
## height weight
## 65.0000 136.7333
# apply 'fivenum' function to each column
vapply(women, fivenum, c("Min." = 0, "1st Qu." = 0, "Median" = 0,
"3rd Qu." = 0, "Max." = 0))
## height weight
## Min. 58.0 115.0
## 1st Qu. 61.5 124.5
## Median 65.0 135.0
## 3rd Qu. 68.5 148.0
## Max. 72.0 164.0
2.2.3 Creating new columns using sapply
You can apply a user defined function to columns or the entire data frame:
# the ouput of sapply is a vector
# the 's' in sapply stands for 'simplified' apply
mtcars$gear2 <- sapply(mtcars$gear,
function(i) if (i==4) "alot" else "some")
head(mtcars)[,c("gear","gear2")]
## gear gear2
## Mazda RX4 4 alot
## Mazda RX4 Wag 4 alot
## Datsun 710 4 alot
## Hornet 4 Drive 3 some
## Hornet Sportabout 3 some
## Valiant 3 some
2.2.4 Applying functions to subsets using tapply
# Fisher's famous dataset
data(iris)
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
# mean sepal length by species
tapply(iris$Sepal.Length, iris$Species, mean)
## setosa versicolor virginica
## 5.006 5.936 6.588
2.2.5 Nested for loops using mapply
mapply
is my favorite base
R
function and here are some reasons why:
- Using
mapply
is equivalent to writing nestedfor
loops except that it is 100% more human readable and less prone to errors - It is an effective way of conducting simulations because it iterates of many arguments
Let’s say you want to generate random samples from a normal distribution with varying means and standard deviations. Of course the brute force way would be to write out the command once, copy paste as many times as you want, and then manually change the arguments for mean
and sd
in the rnorm
function as so:
v1 <- rnorm(100, mean = 5, sd = 1)
v2 <- rnorm(100, mean = 10, sd = 5)
v3 <- rnorm(100, mean = -3, sd = 10)
This isn’t too bad for three vectors. But what if you want to generate many more combinations of means and sds ? Furthermore, how can you keep track of the parameters you used? Now lets consider the mapply
function:
means <- c(5,10,-3) ; sds <- c(1,5,10)
# MoreArgs is a list of arguments that dont change
randomNormals <- mapply(rnorm, mean = means, sd = sds,
MoreArgs = list(n = 100))
head(randomNormals)
## [,1] [,2] [,3]
## [1,] 6.774612 7.959221 -8.758044
## [2,] 5.370869 15.230391 -19.120174
## [3,] 4.347676 19.489983 -5.291814
## [4,] 4.515484 1.188272 -23.130287
## [5,] 4.895882 15.289938 -2.121837
## [6,] 3.863820 13.205816 8.429858
The following diagram (from r4ds) describes exactly what is going on in the above function call to mapply
:
Advantages:
- Result is automatically stored in a matrix
- The parameters are also saved in
R
objects so that they can be easily manipulated and/or recovered
Consider a more complex scenario where you want to consider many possible combinations of means and sds. We take advantage of the expand.grid
function to create a data.frame
of simulation parameters:
simParams <- expand.grid(means = 1:10,
sds = 1:10)
randomNormals <- mapply(rnorm, mean = simParams$means,
sd = simParams$sds,
MoreArgs = list(n = 100))
dim(randomNormals)
## [1] 100 100
2.3 Creating dynamic documents with mapply
mapply
together with the rmarkdown
package (Allaire et al. 2016) can be very useful to create dynamic documents for exploratory analysis. We illustrate this using the Motor Trend Car Road Tests data which comes pre-loaded in R
.
The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).
Copy the code below in a file called mapplyRmarkdown.Rmd
:
Copy the code below in a file called boxplotTemplate
:


Boeing’s CST-100 Starliner Spacecraft Reaches Launch Site in Florida Ahead Of 17 December Test Flight
by IANSBoeing has rolled out its passenger spacecraft to the launch site in Florida ahead of its uncrewed flight test scheduled for 17 December.
NASA is working in partnership with Boeing and SpaceX to launch astronauts on American rockets and spacecraft from American soil for the first time since 2011.
The Boeing spacecraft, the CST-100 Starliner, rolled out of the company's Commercial Crew and Cargo Processing Facility at NASA's Kennedy Space Center in Florida on Thursday (21 November), making the trek on a transport vehicle to Space Launch Complex 41 at Cape Canaveral Air Force Station, NASA said.
"This is critical to our future as a nation," said Kennedy centre director Bob Cabana.
"We've got to get astronauts flying on US rockets from US soil, and this is just a huge step forward."
At the pad, Starliner was hoisted up at the Vertical Integration Facility and secured atop a United Launch Alliance Atlas V rocket for the flight test to the space station.
"We're not done yet. We've got to step into the mission carefully, fly this vehicle up to the space station, and bring it home safely," said Kathy Lueders, NASA's Commercial Crew Programme Manager.
The Atlas V rocket that will carry Starliner comprises a booster stage and dual-engine Centaur upper stage, as well as a pair of solid rocket boosters.
(This story has been published from a wire agency feed without modifications to the text. Only the headline has been changed.)


Abstract
The City of Toronto's open data website contains information on all traffic collisions events where a person was either Killed or Seriously Injured (KSI) from 2006 to 2019. In this post the count of these collisions is analysed and broken down by year, day of the week, and hour of the day. Three observations are identified from this analysis:
Overall, the total number of incidents is decreasing from 2006 to 2019;
Collisions occurred most during weekdays' rushing hours and weekends' early mornings; and
Nearly half of the collisions occur at locations without a traffic control device.
Introduction
Traffic crashes have been and continue to be a major contributor of human and economic costs to society. In addition to the devastation of lost lives, injuries from transport incidents across Canada are estimated to cost $4.3 billion each year. The overwhelming majority of these accidents are entirely preventable (Parachute, 2015). Even though Toronto’s road fatality rate is among the lowest compared to other large North American cities (National Highway Traffic Safety Administration, 2014), traffic-related fatalities and injuries are still one of the major causes of death. In 2016, 160,315 injuries happened in Toronto along with 1898 fatalities due to vehicle collisions (Transport Canada, 2018).
This post utilizes Toronto traffic collisions data to explore and gain a better understanding of patterns of collisions in Toronto between 2006 to 2019, at different levels of scale. This is done through the presentation of a triplet of data visualizations.
Analysis
R libraries
The following R libraries were loaded for this analysis.
library(plyr)
library(lubridate)
library(ggplot2)
library(dplyr)
library(gridExtra)
library(patchwork)
library(readr)
library(opendatatoronto)
Data
This post uses Motor Vehicle Collisions involving Killed or Seriously Injured Persons data from The City of Toronto’s open data website. This dataset includes all traffic collisions events where a person was either Killed or Seriously Injured (KSI) from 2006 to 2019. While past road safety analyses focused on a reduction in all collisions including less serious collision types such as property-damage-only collisions (Amoros et al, 2007), this data focuses on the collisions that result in death and serious injuries (injuries where a person is admitted to a hospital), called Killed and Seriously Injured or KSI collisions. This switch is believed to be beneficial because it places a greater emphasis on vulnerable road users, such as pedestrians, cyclists and motorcyclists, who are over-represented in KSI collisions.
In this dataset a row refers to a single collision event and contains the following information:
Date Collision Occurred;
Street Collision Occurred;
Traffic Control Type;
Weather and Road Conditions;
Injury Information;
Reasons for Collisions;
Driver Conditions
More information on the dataset can be located at https://open.toronto.ca/dataset/motor-vehicle-collisions-involving-killed-or-seriously-injured-persons/
The second step is to download the dataset from the above mentioned website into the working directory and load it into a dataframe.
Results
KSI collisions in Toronto have been trending downwards despite some spikes in certain years. The total number of collisions in 2019 has reduced nearly half compared to 2006. In 2016 the city launched the Vision Zero Road Safety Plan to eliminate fatalities and serious injuries in the transportation system. Hopefully the collisions will reduce further if the plan to implement effectively.
#aggregate total number of collisions by each year
ag <- as.data.frame(table(accident_data$YEAR))
colnames(ag)[2] <- "Number"
colnames(ag)[1] <- "Year"
#plot
ggplot(ag, aes(x=Year, y=Number,group=1)) +
geom_line(color="#69b3a2") +
annotate(geom="text", x=which(ag$Year == '2016'), y=1200,
label="The city launched Vision Zero Road Safety Plan
to reduce traffic-related fatalities
and serious injuries. ") +
geom_vline(xintercept=which(ag$Year == '2016'), color="orange")+
labs(title = "Number of Toronto Traffic Collisions Events by Year",
caption="Data Source: City of Toronto") +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())
We will then summarize the data by day of the week (DOW) and by hour of the day (HOD) to understand peak days and time periods for KSI collisions. First, we need to prepare our dataset. The lubridate package is used to gather DOW information from the date variable.
# Set time zone and language
Sys.setlocale("LC_TIME", "English")
# Generate day of week using date
accident_data$wday <- wday(accident_data$DATE, label = TRUE)
# Create summary table
dayHour <- ddply(accident_data, c( "HOUR", "wday"), summarise,
N = length(DATE))
#reverse order of months for easier graphing
dayHour$wday <- factor(dayHour$wday, levels=rev(levels(dayHour$wday)))
attach(dayHour)
#Assign color variables
col1 = "#d8e1cf"
col2 = "#438484"
From the heatmap, it is clear that the distribution of collisions over the time of the day exhibits a different pattern on weekdays versus on weekends. During the week, collisions appear to be more frequent in the afternoon (2pm – 6pm). These higher collision numbers may be attributed to the increased pedestrian and vehicle volumes during the weekday when people are generally heading to and from work, school, etc. While many weekend crashes occur late at night and early in the morning (10PM – 3AM), when many people leave the bars. There seems to be little temporal variation from Monday through to Thursday, although the number of collisions increases towards the end of the week.
Identification of collision patterns can provide some guidance to policy makers when they should implement intervention action plans. For example, more strict enforcement of speed limits could be implemented during peak time of collisions. We could also use spatial hot-spots to find where collisions occur most frequently and which intersections or roadways are persistent problem areas for collisions over time.
# plot heatmap
ggplot(dayHour, aes(HOUR, wday)) + geom_tile(aes(fill = N),colour = "white", na.rm = TRUE) +
scale_fill_gradient(low = col1, high = col2) +
guides(fill=guide_legend(title="Total Incidents")) +
theme_bw() + theme_minimal() +
labs(title = "Toronto Traffic Collisions Events by Day of the Week and Time of the Week",
x = "Time of the day", y = "Day of the Week",
caption="Data Source: City of Toronto") +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())
Most of KSI collisions occured at traffic signals and un-controlled locations. Of all the collisions, 42.1% occurred at a traffic signal, 47.8% occurred where there was no control and 7.9% occurred at a stop sign. These are the three most common type of traffic controls, which could help to explain why more accidents occurred at these three types of control, as opposed to the other types of controls. In the next steps, we could use data on distribution of traffic control types to help understand if the high counts are also proportionally high, as well as use regression models to test if there are traffic controls in place at an intersection, whether there will be fewer accidents than at intersections that do not have traffic controls.
# plot traffic control distributions where collisions happened
accident_data %>%
group_by(TRAFFCTL) %>%
tally() %>%
ggplot()+
geom_col(aes(x=reorder(TRAFFCTL,n),y=I((n/sum(n)))*100),position="dodge",fill="#69b3a2")+
geom_text(aes(x=reorder(TRAFFCTL,n),y=I((n/sum(n))*100),label=round((n/sum(n))*100,1),hjust=+1.2),colour="black")+
labs(title="Near half of reported collisions happened where no traffic controls exist",
subtitle="Data from 2006 to 2019",
x="",
y="Percent of Total",
caption="Data Source: City of Toronto")+
scale_y_continuous(breaks=seq(0,100,10))+
coord_flip()
Reference
Amoros, E. M., Martin, J.-L. M., Chiron, M. M. & Laumon, B. (2007) Road crash casualties: characteristics of police injury severity misclassification, Journal of Trauma-Injury Infection & Critical Car, 62(2), 482-490.
Canadian Motor Vehicle Traffic Collision Statistics: 2016 - Transport Canada (2018) Retrieved from https://www.tc.gc.ca/eng/motorvehiclesafety/canadian-motor-vehicle-traffic-collision-statistics-2016.html
National Highway Traffic Safety Administration. (2014) Traffic Safety Facts 2014. Retrieved from https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812261
Parachute (2015) The Cost of Injury in Canada. Parachute: Toronto, ON


| Class | Description |
|---|---|
| DynamicObstacle |
Abstract class for all dynamic-obstacles, i.e.
|
| Element |
The base-class for all renderable elements of the game.
|
| Entrance |
A entrance element.
|
| Exit |
A exit element.
|
| IntelligentObstacle |
The best DynamicObstacle concrete class and the only one in active use.
|
| Key |
A key element.
|
| MysteryBox |
A MysteryBox is a kind of element, that, when collided with, reveals an
Event that can be interpreted by the Level class to perform some sort of
action or event, such as create a new Element (e.g.
|
| PatternObstacle | Deprecated |
| Player |
In MVC terms, the Player is the View and a Profile the Model, the
ProfileWindow possibly acting as the Controller.
|
| RandomizedObstacle | Deprecated |
| StaticObstacle |
A static-obstacle class.
|
| Wall |
A wall element.
|
| Enum | Description |
|---|---|
| Direction |
An enum class describing directions of motion.
|
| Element.Kind |
The kind of each Element.
|
| MysteryBox.Event |
The types of Events that a mystery-box can reveal.
|


I am MORE than happy to listen to and act on their advice.
Farmer
Farmer
Viticulture is an interactive source of information to improve profitability and pleasure in natural farming.
When we needed to take our farm to the next level, we wanted to work with people who truly know the farm and agriculture business. This platform helped me with just what I wanted .
Farmer


Native (document.write)
Buffered (document.swrite)
test 1 [OK]
test 1 [OK]
test 2 [OK]
test 2 [OK]
test 6
test 6


Big Data
Exploring the myth
Big Data is Sexy
Big Data is Sexy
and insightful...
So, what's the problem?
Big Data is 'BIG'
Storage
Any object, wholly or partially immersed in a fluid, is buoyed up by a force equal to the weight of the fluid displaced by the object.
— Archimedes of Syracuse
Where?
How?
Storage
Where?
Storage
How?
Management
Understanding
I shut my eyes in order to see truth. -Paul Gauguin
What?
How?
So...?
Understanding
What?
Understanding
How?
Understanding
So?
Understanding
The enemy of Big is Bigger
Pipelines
{{sub-heading}}
{{item 1}}
{{item 2}}


Foundation's Blog
Hi there! I'm Matthew Philip Uy, an aspiring individual who is willing
to push limits to become a full fledge web developer. This blog would
serve as my starter website which includes information and practices
that I learned during my bootcamp.
For this website, I only used HTML5, CSS3, and Vanila Javascript. I did not use any frontend framework or backend.
Below are some of the activities I've done in this bootcamp. Feel free
to read/try them!
SPRINTS
5 topics also known as
sprints which is split into 2
categories: Cultural sprint relates
something about myself and
Technical sprint is a discussion of
basic codes that is used to build a website.
PROJECTS
A collection of web applications from bootcamp challenges


NAME
dio [ -o <output file> ] <device name> <time interval> [ <max count> ]
dio -l
DESCRIPTION
dio is a device I/O analysis tool. It takes a device name and a time interval in seconds as parameters. dio then samples kernel statistics an optional maximum of max count times at the specified time interval and uses them to derive useful real-time and cumulative performance statistics. It presents the output in a standard terminal window.
The device name can be an entire disk, a disk slice, a metadevice or any other kind of I/O device. The -l option can be used to list the names of all available I/O devices.
The abbreviated column headings on the output are explained below:
| br: | number of bytes read during time interval. |
| bw: | number of bytes written during time interval. |
| rkb/s: | kilobytes per second read from device. |
| wkb/s: | kilobytes per second written to the device. |
| %r:%w: | ratio of data read to data written. Useful for visualising the changing direction of data flow. |
| ro: | number of read operations. |
| wo: | number of write operations. |
| rq: | average run queue length over the time interval. |
| rq %b: | percentage of time that the run queue was occupied, i.e. rq w as non-zero. |
| wq: | average wait queue length. |
| wq %b: | percentage of time that the wait queue was occupied, i.e. wq was non-zero. |
Also included in the output is maximum recorded read rate recorded, maximum write rate, total megabytes read and total megabytes written during the period that dio was running.
Although it may seem that the run queue length would be preferable measurement to the average run queue length, in practice this is rarely true. The run queue length is continually changing, so it's value at any given moment gives no measure of what it was a nanosecond before it was sampled. Therefore the average run queue length is often found to be more useful and is derived from the run queue length integral over time which is maintained by the operating system.
To quit out of dio, press q or Ctrl-d.
OPTIONS
| -o file | Specify the name of the out put log file. |
| -l | List all the I/O devices on the machine. The output consists of three columns, Device Name, Class and Mapping. Device Name is the name of the device in the fo rmat expected by dio. Class is the type of I/O device, such as disk, partition, nfs or tape. Where the device is a disk or a partition, the Mapping column map s the device name to the more familiar cXtXdXsX notation. |
EXAMPLES
Following are some examples of dio can be invoked.
Example 1:
In this example, dio is invoked to measure I/O on a slice c4t2d0s2.
First run dio -l, to list all I/O devices. The output will show the device name that maps to slice c4t2d0s2. In the example output below, it maps to device sd62,c.
Device Name Class Mapping
sd62 -> disk -> c4t2d0
sd62,a -> partition -> c4t2d0s0
sd62,c -> partition -> c4t2d0s2
sd62,g -> partition -> c4t2d0s6
Then invoke dio as follows to monitor slice c4t2d0s2 at four second intervals:
% dio sd62,c 4
Example 2:
In this instance, dio is invoked to measure I/O on a mirrored file system.
% dio md30 2
where md30 appears is a metadevice. The sample rate is every two seconds.
TIPS
Running dio -l option is a very good place to start for identifying the names of devices you would like to analyse.
NOTES
Some older versions of Solaris and Solaris for Intel do not collect I/O statisti cs for slices of disks. In such cases you will only will only be able to analys e entire disks and will not be able to go down the level of analysing slices.
AUTHOR
Donald McIntosh


Captain Roy:
Welcome to the Ivory Tower. I am Captain Roy. As a youth I came to this tower to become a Mystic; however, I eventually found that it was not suitable for me. That is why I am doing this currently. Do you have any questions?
Ask about the Ivory Tower.
Ask about the monsters around the Ivory Tower.
See the Lord and get the tax rate information.
Quest


Play Single Clip Nodes
Animation controller graphs provide multiple node types that are used for sampling animation clips. The play single clip node is the most basic one. This node samples an animation clip and outputs the respective animation pose. It is thus used for typical playback of a single animation either once or in a loop. For added variety you may reference multiple animation clips, in which case the node will randomly pick one of them for playback.
Common Properties
All animation controller nodes that sample animation clips share these properties:
Loop
: If enabled the node will loop playback while itsActive
pin is triggered. Which clip exactly gets looped depends on the node. The play single clip node for example just loops playback in general, but randomly picks a different clip in every iteration. The play clip sequence node on the other hand will loop its middle clip instead.ApplyRootMotion
: If enabled, the node will compute the root motion from the sampled clips and forward this to the animation controller component, which may apply this to the game object's position.PlaybackSpeed
: Adjusts the speed with which the animations are sampled.FadeIn
,FadeOut
: The time (in seconds) that it should take to fade an animation in and out. If this is set to0
, the animation will immediately switch on or off when the node gets (de-)activated. If the time is non-zero, the animation will gradually fade in or out over this duration. These values are very important to cross-fade from one animation to another. For example, if a character is playing an idle animation and then should transition to walk, the walk animation should have a short fade in duration and the idle animation should have a fade out duration. The shorter of the two durations determines how long the two animations are being cross-faded to transition smoothly from one state to the other.Additionally, if the fade in and out values are longer than the animation itself, the animation will be forced to play back for that amount of time, typically by extending the use of the last keyframe. This can be very useful if you use an animation that only contains a static pose, for example a pose for aiming. With a
FadeIn
of 200ms this single pose will be held for 200ms but gradually faded in. That leads to a character slowly raising their hand, instead of immediately having the hand raised. The same is true for theFadeOut
property, which again can be used to slowly lower the hand by fading out the aim pose over a longer duration.ImmediateFadeIn
,ImmediateFadeOut
: The playback starts when theActive
pin is triggered. IfImmediateFadeOut
is off, the clip will be played back to its very end before it is allowed to fade out. IfImmediateFadeOut
is on, however, the animation will be faded out right away when theActive
pin stops being triggered. IfImmediateFadeIn
is off, once a node starts fading out, it will continue fading out until it is fully off, no matter what theActive
pin state is. IfImmediateFadeIn
is on, a node that has started fading out may immediately fade in again if theActive
pin gets triggered again.These values determine how responsive animation playback is in regards to input changes. Immediately fading in and out can drastically reduce delay between input and a visual reaction, but may also only work well with certain animations.
Node Properties
Clips
: One or multiple animation clips to play. If more than one is added, the node will pick one at random in every loop iteration.
Common Input Pins
Many animation controller nodes have some or all of these input pins:
Active
: This pin determines whether the node samples its animation clips at all. Once it gets triggered in a frame, the node starts to sample its animation clips, fades them in etc. IfLoop
is enabled, the playback will repeat as long as theActive
pin is triggered. Once the pin is not triggered anymore, the node will start to fade out its animations. Either right away (ImmediateFadeOut
on) or when it reaches the end of the currently playing clip (ImmediateFadeOut
off).Weights
: If this pin is connected to a bone weight node, then the sampled animation clip is only applied to that part of the character. This is used to limit playback of an animation to selected body parts.Speed
: This pin adjusts the overall playback speed.
Input Pins
ClipIndex
: If the node has multipleClips
set, exactly which one will be played back can be controlled through this pin. WithClipIndex
set to0
the first clip is used exclusively, withClipIndex
set to1
only the second clip is used, and so on. IfClipIndex
is not connected or set to a negative value, a random clip is used.
Common Output Pins
Many animation controller nodes have some or all of these output pins:
LocalPose
: The final pose from the sampled animation clips is output through this pin. This has to be passed to a combine poses node or a local to model pose node.OnFadeOut
: This pin gets triggered for a single frame once the node changes its internal state to fade out the animation (affected byImmediateFadeOut
andFadeOut
). This is typically a good time to start fading in another animation to take over. This pin is guaranteed to get triggered, even if theFadeOut
time is zero.


- Cloud Computing training offered by the Institute of Management and Information Technology (IGTI) for two months.
- Degree in Mechanical Engineering from the Federal University of Espirio Santo.
- Research group machine learning and diagnostic prediction of covid-19 coordinated by semus-etsus-vitoria, manages health surveillance and UFES.
- The group developed prediction models for virus confirmation, hospitalization, and death. Based on data offered by the city of Vitória, including laboratory data.
- Data science career acceleration done by Codenation for 10 weeks.
- Federal University of Espirito Santo laboratory focused on statistical analysis and development of machine learning and artificial intelligence methods.
- Scientific project where, with support from VALE, data analysis of the instrumented wagon used on its railroads was carried out. Using Machine Learning models and dynamic simulation.


About Me!
My name is Rian Borges Barbosa, I'm from Brazil, I currently study Computer Science at Federal University of Fronteira Sul (UFFS).
My skills in programming language are javascript, CSS, python, C so far. In 2020 I've completed the CS50x course from harvard and also many other courses.
I'm a coffee lover ❤☕ (as the most programmers are) because coffee is my fuel for the work and study!


Campus Cravings
Fresh
Order for Now
Order for Later
Order Groceries
From sweets to frozen meals. We've got your cravings covered.
Find out more
Send
Order Toileteries
Stuck in the shower and forgot your soap? We're on our way!
Find out more
Send
Order alcohol
Need a develivery of a little something for the night.
Find out more
Send


Want to use Log4r over a network? No problem! A Log4r::RemoteOutputter will send its LogEvents to a Log4r::LogServer. These two classes are as easy to set up and use as the rest of Log4r.
There is one catch though: ROMP is required to use this service. It is a DRb-like system with superb performance and better features. Get ROMP at rubystuff.org/romp/
LogServer is simply a kind of Logger which embeds a ROMP::Server. Like a normal Logger, you can give it Outputters, set its level and so on. Its logging methods are accessible over a network and are called by a RemoteOutputter on another host.
Setup is easy. First,
require 'log4r/logserver'
The following sets up a LogServer named ‘central’ on localhost port 9999:
LogServer.new('central', 'tcpromp://localhost:9999')
We manipulate it and give it outputters as normal:
serv = Logger['central'] # grab our new LogServer serv.add 'stdout' # make it log to $stdout
RemoteOutputter is simply a kind of Outputter that embeds a ROMP::Client. When RemoteOutputter gets a LogEvent, it will forward it to whatever LogServer it’s connected to. In essence, RemoteOutputter behaves like a Logger that is forwarding a LogEvent to another Logger (as is done in hierarchical logging).
First,
require 'log4r/outputter/remoteoutputter'
Unlike typical outputters, RemoteOutputter doesn’t do any formatting. That’s up to the LogServer’s outputters. Otherwise, RemoteOutputter can be set up as usual. The ROMP uri of the LogServer must be specified.
RemoteOutputter.new 'client', :uri=>'tcpromp://localhost:9999'
Give our new RemoteOutputter to a logger:
mylog = Logger['mylog'] mylog.add 'client'
Now, whenever mylog generates a LogEvent, LogServer should get a copy. Doing the following:
mylog.info "This is a message from 'mylog'"
Produces this output on LogServer’s console:
INFO mylog: This is a message from 'mylog'
RemoteOutputter is set up like normal Outputters. LogServer is set up like a normal Logger, but with an element name of logserver instead of logger:
<log4r_config> <logserver name="name" uri="tcpromp://localhost:9999"> ...
It is recommended to set up a logger named ‘log4r’ on both the server and client to see what LogServer and RemoteOutputter are up to. Both of the classes use Log4r’s internal logging to report any problems. See the section What’s Going on Inside? in log4r.rb for more info.


(Carrera Internacional de la Mujer Iniciativa)
An idea that started several years ago, CIMI (Carrera Internacional de la Mujer Iniciativa) is an initiative for and about women. It started as a dream of the founder, Aracely Areas, to help people like her - women with a vision for their future, to build confidence and motivation through running, accomplishment and in turn benefiting from the health and exercise.
With the generous support of our donors, the purpose of CIMI is to foster programs and partnerships with schools and athletic associations to promote health, education, self-esteem and inspiration for women of all ages. Our goal is to sponsor yearly special events, providing training and educational programs, supporting health and exercise opportunities for girls and women with an emphasis on running activities and providing related training and equipment. With our younger participants, confidence established at an early age can be applied to all aspects of their lives, particularly in schools for bright futures. All this is offered free of any charge to our participants.
We became an official Non Profit in 2015 an official 501c3 Charity. Establishing a board of directors who meet quarterly to set goals and continue to move this cause forward.
Focusing on women (and their family) of all ages to build confidence, promote health and motivation through accomplishment. We teach basic running skills, strength exercises, and mentoring. Through this community and confidence is built. We believe strongly that all people have many different abilities and strengths that when nurtured can create beautiful things.


Principal Component Analysis (PCA) algorithm used to compress a dataset onto a lower-dimensional feature subspace with the goal of maintaining most of the relevant information.
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a non-linear technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
When doing Singular Value Decomposition (SVD) a matrix filled in with data obtained to reduce the number of columns the matrix has. This reduces the dimensionality of the matrix while still preserving as much of the variability in the data as possible.


Write a program that prints the text "HELLO WORLD" to the console (stdout).
To make Node.js program, create a new file with a .js
extension and start writing JavaScript! Execute your program by running it with the
node
command. e.g.:
$ node program.js
You can write to the console in the same way as in the browser:
console.log("text")
When you are done, you must run:
$ learnyounode verify program.js
to proceed. Your program will be tested, a report will be generated, and the lesson will be marked 'completed' if you are successful.


403 Forbidden
We're sorry. If you've reached this 403 page, it means the link you tried goes to a directory you don't have access to. Please click the Back button, or go back to the Go Doctor home page.
We're sorry. If you've reached this 403 page, it means the link you tried goes to a directory you don't have access to. Please click the Back button, or go back to the Go Doctor home page.


| Factor | Category | Employee Count | % Retained | % Turnover |
|---|
Measurable costs of turnover include job advertising or recruiters, time spent processing applications, interviewing, onboarding and training the new employee.
Estimated Replacement Cost Per Employee:
Job Level 1: $4,000 Job Level 2: $6,000
Job Level 3: $8,000 Job Level 4: $18,000
Job Level 5: $40,000
Use the calculator to estimate savings or additional expense as turnover changes.
To predict the probability that an employee will leave the company, enter an employee number between 1 and 1728.


Change the appearance of DIV on different screen sizes
Example DIV.
trutr7juhbdraerthbn
Resize the browser window to see the effect
.


<C-s> or <C-CR> seem to freeze vim...
-
anonymous
Odd behavior:
On one of my linux boxes C-s and C-CR seem to pause vim. Assuming that (since it works on another linux box and a windows box) it was my vim config's fault, I moved ~/.vim to ~/.vim.bak and ~./vimrc to ~/.vimrc.bak and made a new config with only Command-T. No vimrc file, no other extensions. Vim still seems to freeze when I hit <C-s> or <C-CR> in the list. Interestingly, if the current buffer is unsaved and i just hit <CR>, Command-T opens the chosen buffer in a new horizontal split just fine. And <C-v> works.
Any ideas? Never had to troubleshoot vim really so I'm kinda lost as to how to even approach the problem.
-
Greg Hurrell
The difference is most likely explained by a discrepancy in the terminal settings on the different machines (different terminals can send key presses in different ways). If you compare
:set term?
on the different machines you might see different terminals.The other things which might be different are the
'timeout'
,ttimeout'
,'timeoutlen'
and'ttimeoutlen'
settings. (See the Vim help for those.)Whatever the cause, however, the simplest thing to do will most likely be to override the mappings for those actions and pick ones which don't break on that machine where you're having the trouble (see
:h command-t-options
and scroll down to the list of mappings settings). -
anonymous
Thanks much for the help!
I run urxvt with the same config files on both linux boxes, in theory all the config files are source controlled so they should match but... reality and theory are often worlds apart :) I will look into urxvt config on both machines and read up on those vim help settings when I get home and can access linux box #2, the broken one (at work atm)!
... Did not submit this from work. home now: Remapping the key works. All the other settings, both terminal and vim seem identical between the two machines, mysterious but acceptable until I can find the time to track down the problem :)
P.S. I really would had not even considered the terminal being at fault, interesting!
P.P.S. This plugin is insanely awesome. Forgot to mention that in the first post. its like for(;;) {productivity++;} for large-scale apps with more than a few thousand files (yup, INFINITE LOOP OF PRODUCTIVITY).
-
Greg Hurrell
Well it's not really a "fault" of the terminal. That's just the way terminals work. For example, on mine when I press the "up" key it actually sends that as an escape sequence (
ESC-O a
); you can imagine how Vim interprets that... See:h term.txt
, and particularly:h xterm-cursor-keys
for more info on the subject. -
anonymous
I'm having the same problems as the OP but am trying to avoid remapping all of the builtin commands.
I have the same issue Wincent describes in that my terminal (well technically tmux, the teminal multiplexer) sends <Up> as <Esc>-OA. I've tried setting
set notimeout set ttimeout set timeoutlen=100
in my vimrc but it doesn't make any difference.  This confirms that the timeout settings do have some effect in vim. It just seems that command-t doesn't pickup that particular setting.  Thanks
-
Greg Hurrell
Well, 99% of the time I'm in MacVim which has no weird terminal issues.
The other 1% of the time I'm in the Mac OS X Terminal, which advertises itself as
xterm-color
, which means that instead of<Esc>
I dismiss with<C-c>
.As for Command-T not picking up your
ttimeout
and related settings, it certainly should: those are global settings (active in all buffers), and Command-T is just using normal map commands (you can check them out in thecontroller.rb
source file; see theregister_for_keypresses
method).On a side note, if you need to set a couple of special mappings or timeout overrides for a particular term type you could do it conditionally in your
.vimrc
with something like:if &term == 'xterm-color' " or whatever your terminal is " custom mappings for that terminal here endif
-
anonymous
Created , edited
Well it turns out that I had misunderstood the purpose of the command-t mappings settings. I thought that the idea was to allow you to create an alternative mapping i.e. so that if <Up> does not work then you can use, say, <C-u> instead. I realise now that the purpose is to allow you to enter the sequence that the term actually sends.
I've added
let g:CommandTSelectPrevMap=['<C-p>', '<C-k>', '<Esc>OA', '<Up>']
to my vimrc which allows me to use the <Up> to scroll through the options which is what I wanted to achieve.During my investigations I realised that tmux seems to enable XON/XOFF process control which is possibly what's causing problems for the OP. It's not something that I ever use and so I explicitly disabled it in my zshrc with
stty -ixon
and now <C-s> works ok. <C-CR> does not work; it seems that under tmux <C-CR> sends NUL but mapping <NUL> doesn't have any effect. I'm happy with <C-s> so it's not an issue to me.Thanks for your help Wincent
Reply
This topic is now closed.


For an overview of how to get started with SimPrily, please see the README on GitHub.
The current version can be downloaded in tar or zip format from the project's github repository
The latest version can be downloaded through the git client. If git is installed, run the following command in terminal after you cd to the directory you want to work in:
git clone https://github.com/agladstein/SimPrily.git
The above command is required to be run only once, for any subsequent updates run the following command from your local SimPrily directory:
git pull https://github.com/agladstein/SimPrily.git master


How To Use Your Android As Computer Microphone
by Manpreet SinghIt doesn’t matter how expensive your computer or laptop is, they still lack a good microphone. Modern laptops do have a microphone, but still, users choose to use an external one. If we talk particularly about the microphone, they are important whether you are chatting with your friends over skype or playing an online video game.
There are plenty of portable microphones available in the marketplace, but why spend money on another device when you have a smartphone? You can actually use your Android smartphone as a computer microphone by using some software.
So, in this article, we are going to share some of the best methods that could help you to use your phone as a Windows Microphone 2019. Below we have shared not one, two, but three methods to use your Android as a computer microphone 2019.
Table of Contents
How To Use Your Android As Computer Microphone
Before exploring the methods, please keep in mind that there are plenty of software available on the internet that can let you use the smartphone as a computer microphone, but not all of them work. So, in this article, we have listed the one that really works and used by many. So, let’s explore how to use Android as a computer microphone in 2019.
#1 Using WO Mic
WO Mic is basically a desktop client that turns any Android into a microphone for the computer. Once done, your smartphone can be used for talking, recording, voice remote control many other activities. So, let’s check out how to use WO Mic on the computer.
Step 1. First of all, on your Windows PC, you need to download and install the tool Wo Mic with its driver in your Windows PC.
Step 2. Now in your Android device, download the latest version of the app WO Mic.
Step 3. Now launch the app and then click on start. On the next screen, you have to choose out the way of connectivity to pair with your PC.
Step 4. Under “settings” you will find an option of “Audio Source” Make sure you had selected “Mic” there
Step 5. Now head towards the homepage of the app and there tap on “Start”
Step 6. Now launch the software in your Windows PC and there in connectivity select the connectivity type.
Now both the devices will get the pair and now you can use your Android Mic in your Windows PC.
#2 Using Real Microphone
This is based on some external cable and a cool Windows tool that will allow you to connect with your device.
- First of all download and install the tool Real Microphone in your Windows PC.
- After installing the app, launch it on your PC.

- Now with the help of the tool, your device will be paired with your Android device and now your Android mic will be used as the mic in your Windows PC.
- Do do this and have voice chats with your friends.
#3 Using Microphone App
This very simple app as it just sends audio from the mic to the speaker, plug it into your computer or whatever using a 3.5mm male to male headphone jack and you get a free mic. It’s good enough for emergency use.
You just need to install the microphone app on your Android device and connect the aux cable with the microphone input of PC and Android. Simply, open the app and enjoy it.
So above is all about Using Your Android As Computer Microphone. With this, you can comfortably use your Android high-quality mic on your computer. I hope you like this cool post, do share it with others too. Leave a comment below if you have any related queries with this.


Before Change
raise ValueError("Could not convert {} to image".format(image_or_path))
// Check that the image is valid
if np_image.dtype != np.uint8:
raise ValueError("Image should be uint8. Detected: {}".format(
np_image.dtype))
utils.assert_shape_match(np_image.shape, self._shape)
// TODO(epot): Should support additional format
image_format = "png"
// TODO(epot): Should clear the runner once every image has been encoded.
// TODO(epot): Better support for multi-shape image (instead of re-building
// a new graph every time)
image_encoded = self._runner.run(ENCODE_FN[image_format], np_image)
return {
"encoded": image_encoded,
"format": image_format,
"shape": np_image.shape,
}
def decode_sample(self, encoded_image):
After Change
encoded_image = self._encode_image(image_or_path)
else:
with tf.gfile.Open(image_or_path, "rb") as image_f:
encoded_image = image_f.read()
return encoded_image
def decode_sample(self, sample):
Reconstruct the image from the tf example.


The following things are used by Web Mill, but were not created by the coders of Web Mill.
Those mentioned below are are not necessarily affiliated with Web Mill and have not endorsed the project.
Wind mill index default stock photo: Photo by Tom Swinnen (https://stocksnap.io/author/shottrotter), downloaded from StockSnap (https://stocksnap.io)
- The original image has been made smaller and the original format was .jpg (but was changed to .webp).
- It is under the CC0 License.
Keyboard image used on the default index template by Tim Sullivan (https://stocksnap.io/author/timsullivan) from StockSnap (https://stocksnap.io)
- Size has been changed, as well as the file type.
- It is under CC0 License.
Drawing supplies image used on default index template by Photo by Lukasz Dec (https://stocksnap.io/author/5213) from StockSnap (https://stocksnap.io)
- Size has been changed, as well as the file type.
- It is under CC0 License.
Ace is used for the text editor (https://ace.c9.io/).
Bootstrap is used for CSS (https://getbootstrap.com/).
Favicons were generated using Real Favicon Generator (https://realfavicongenerator.net/).


The social media themes that was designed here by me, are only twitter and instagram. Twitter across all media screen, while instagram for only pc screen
View


Auth package
The Auth package provides a standardized interface for authentication in Fuel. This allows our users to write their own drivers and easily integrate a new driver to work with old code by keeping the basic methods consistent.
Writing your own drivers
Writing drivers can be done in two ways. Either by extending the Auth driver classes to create a new driver from scratch or extending the SimpleAuth classes and changing them where needed.
An Auth driver consists of three types of classes working together. These are:
- Login (Auth_Login_Driver).
- Group (Auth_Group_Driver).
- Acl (Auth_Acl_Driver).
Extending auth classes.
Extend these classes like so:
<?php
class Auth_Login_MyDriver extends \Auth\Auth_Login_Driver {
// Implement all the needed functions and variables defined in the driver class.
}
/* End of file mydriver.php */
Implementing functions.
When extending the Auth driver classes take note on the expected return values of each function that needs to be implemented. Every method supplies an example so you know what needs to be returned. Here is an example:
/**
* Get User Identifier of the current logged in user
* in the form: array(driver_id, user_id)
*
* @return array
*/
abstract public function get_user_id();
The code above show you the get_user_id function that every driver should have. Like in all classes you extend that have abstract functions, these functions must be defined in the extended class. The return type of this function is provided in the comment, in this case array(driver_id, user_id). In order to get your driver to work alongside other drivers make sure you return the right values or your driver breaks protocol.
Here is that same function but then the implementation from the SimpleAuth driver.
/**
* Get the user's ID
*
* @return Array containing this driver's ID & the user's ID
*/
public function get_user_id()
{
if (empty($this->user))
{
return false;
}
return array($this->id, (int) $this->user['id']);
}
Once you have everything in place for the new driver. Replace or add it to the auth config.
// Inside config/auth.php
// Add it as a driver
'driver' => array('SimpleAuth', 'MyDriver'),
// or replace the SimpleAuth driver
'driver' => array('MyDriver'),


Termination figures for Scotland by Local Authority 2010-2019.
Data from the Termination of Pregnancy report, Public Health Scotland Data and Intelligence, published 25 August 2020..


--- layout: post title: MySQL security audit, a QueryScript test case date: type: post published: false status: draft categories: - MySQL tags: - common_schema - Open Source - openark kit - QueryScript - scripts - Security meta: _edit_last: '2' author: login: shlomi email<EMAIL_ADDRESS>display_name: shlomi first_name: Shlomi last_name: Noach ---
Following common_schema over traditional scripts, I was interested in yet another aspect of server side rewriting of Python code. openark kit introduced oak-security-audit: a security audit of your MySQL server, checking up on accounts, passwords and general settings, resulting with a nice report.
I wanted to take this as a test case for QueryScript. How easy would it be to convert the well-working python script into QueryScript code?
I was surprised and pleased by the result. Numbers-wise, the audit (which is not identical, but nearly so), was reduced from 448 down to 188 lines of code. And Python code is quite compact. So where did I save up?
Naturally, all the connection stuff is gone, since I'm running from within the server. All the cursor stuff is gone. All the preparation of statements is gone. And, apparently QueryScript's syntax does something right, since I managed to do most stuff very easily.
Lines of code are not everything, of course. Sometimes they're not anything. The code has to be clear, right? Then consider:
report h1 'Checking for non-local root accounts'; set @loop_counter := 0; foreach ($user, $host: select user, host from mysql.user where user='root' and host not in ('<IP_ADDRESS>', 'localhost')) { if ((@loop_counter := @loop_counter+1) = 1) { report 'Recommendation: limit following root accounts to local machines'; } report code 'rename ', mysql_grantee($user, $host), ' to ', quote($user), '@', quote('localhost'); } otherwise report 'OK';
My guess is that even if this is the first time you encounter QueryScript, you can easily figure out the above code. If not, that means I have more work to do :)
A sample security audit report looks like this:
mysql> CALL security_audit(); +------------------------------------------------------------------------------+ | report | +------------------------------------------------------------------------------+ | | | Checking for non-local root accounts | | ==================================== | | Recommendation: limit following root accounts to local machines | | > rename 'root'@'central' to 'root'@'localhost' | | | | Checking for anonymous users | | ============================ | | OK | | | | Looking for accounts accessible from any host | | ============================================= | | Recommendation: limit following accounts to specific hosts/subnet | | > rename user 'apps'@'%' to 'apps'@'<specific host>' | | > rename user 'world_user'@'%' to 'world_user'@'<specific host>' | | | | Checking for accounts with empty passwords | | ========================================== | | Recommendation: set a decent password to these accounts. | | > set password for 'apps'@'%' = PASSWORD(...) | | > set password for 'world_user'@'localhost' = PASSWORD(...) | | > set password for 'wu'@'localhost' = PASSWORD(...) | | | | Looking for accounts with identical (non empty) passwords | | ========================================================= | | Different users should not share same password. | | Recommendation: Change passwords for accounts listed below. | | | | The following accounts share the same password: | |<EMAIL_ADDRESS>| |<EMAIL_ADDRESS>| | 'gromit'@'localhost' | | | | The following accounts share the same password: | |<EMAIL_ADDRESS>| | 'shlomi'@'localhost' | | | | The following accounts share the same password: | |<EMAIL_ADDRESS>| | 'monitoring_user'@'localhost' | | | | Looking for (non-root) accounts with admin privileges | | ===================================================== | | Normal users should not have admin privileges, such as | | SUPER, SHUTDOWN, RELOAD, PROCESS, CREATE USER, REPLICATION CLIENT. | | Recommendation: limit privileges to following accounts. | | > GRANT <non-admin-privileges> ON *.* TO 'monitoring_user'@'localhost' | | > GRANT <non-admin-privileges> ON *.* TO 'shlomi'@'localhost' | | | | Looking for (non-root) accounts with global DDL privileges | | ========================================================== | | OK | | | | Looking for (non-root) accounts with global DML privileges | | ========================================================== | | OK | | | | Testing sql_mode | | ================ | | Server's sql_mode does not include NO_AUTO_CREATE_USER. | | This means users can be created with empty passwords. | | Recommendation: add NO_AUTO_CREATE_USER to sql_mode, | | both in config file as well as dynamically. | | > SET @@global.sql_mode := CONCAT(@@global.sql_mode, ',NO_AUTO_CREATE_USER') | | | | Testing old_passwords | | ===================== | | OK | | | | Checking for `test` database | | ============================ | | `test` database has been found. | | `test` is a special database where any user can create, drop and manipulate | | table data. Recommendation: drop it | | > DROP DATABASE `test` | | --- | | Report generated on '2012-09-21 11:49:52 | +------------------------------------------------------------------------------+


ABSTRACT
Sevostianova A.V., Novikova A.S. Identification of modern problems of logistics services in Ukraine. Visnyk of the National Transport University. Series «Economic sciences». Scientific and Technical Collection. - K.: NTU, 2021. - Issue 2 (49).
The article is devoted to the identification of modern problems of logistics services in Ukraine. The article presents a number of factors that hinder the development of logistics services at domestic enterprises. It should be noted that logistics services are a process of creating benefits for the company.
The object of research is logistics service processes.
The purpose of the work is to investigate the main problems of logistics services of domestic enterprises.
Research method - analysis and synthesis.
For domestic enterprises, the introduction of efficient logistics services can be a significant competitive advantage. This is due to the fact that Ukrainian companies only indirectly address the issue of logistics services. Nevertheless, modern consumers are now paying more and more attention to the level of service, based on the experience of work with foreign companies that have a fairly high level of service. Therefore, before improving logistics services in enterprises, it is necessary to identify existing problems at the global and local levels. Global problems are problems of service at the state level, caused by the low level of the economy, ultra-rapid globalization, backwardness from the giant countries. Local problems are problems of logistics services at the level of the enterprise or branch, which are formed as a result of uneven distribution of profit, inefficient regulatory framework, lack of qualified personnel. This issue is covered in this article.
The obtained results can be used in the improvement of logistics services at domestic enterprises.KEY WORDS: LOGISTICS SERVICE, LOGISTICS SERVICES, CONSUMER, LEVEL OF SERVICE.
REFERENCES
AUTHOR
Sevostianova A., National Transport University, Teacher Assistant of the Department of Transport Law and Logistics, e-mail<EMAIL_ADDRESS>phone +380936834028, Ukraine, 01010, Kyiv, st. Omelnovich-Pavlenko 1.
Novikova A., National Transport University, student<EMAIL_ADDRESS>phone +30958702269, Ukraine, 01010, Kyiv, st. Omelnovich-Pavlenko 1.
REVIEWER
Danchenko O.B., Doctor of Tenic Sciences, Associate Professor, Professor of the Department of Computer Science and Systems Analysis, Cherkasy State Technical University, Cherkasy, Ukraine
Khrutba V.O., Doctor of Tenic Sciences, Professor, Head of the Department of Ecology and Life Safety, National Transport University, Kyiv, Ukraine
Article language: Ukrainian
Open Access: http://publications.ntu.edu.ua/visnyk/49/142-149.pdf
Print date: 15.03.2021
Online publication date: 05.04.2021