DIRFD
Section: Linux Programmer's Manual (3)
Updated: 2013-07-05
Index
Return to Main Contents
NAME
dirfd - get directory stream file descriptor
SYNOPSIS
#include <sys/types.h>
#include <dirent.h>
int dirfd(DIR *dirp);
Feature Test Macro Requirements for glibc (see
feature_test_macros(7)):
dirfd():
-
_BSD_SOURCE || _SVID_SOURCE
|| /* Since glibc 2.10: */
-
(_POSIX_C_SOURCE >= 200809L || _XOPEN_SOURCE >= 700)
DESCRIPTION
The function
dirfd()
returns the file descriptor associated with the directory stream
dirp.
This descriptor is the one used internally by the directory stream.
As a result, it is useful only for functions which do not depend on
or alter the file position, such as
fstat(2)
and
fchdir(2).
It will be automatically closed when
closedir(3)
is called.
RETURN VALUE
On success, a nonnegative file descriptor is returned.
On error, -1 is returned, and
errno
is set to indicate the cause of the error.
ERRORS
POSIX.1-2008 specifies two errors,
neither of which is returned by the current
implementation.
- EINVAL
-
dirp
does not refer to a valid directory stream.
- ENOTSUP
-
The implementation does not support the association of a file
descriptor with a directory.
ATTRIBUTES
Multithreading (see pthreads(7))
The
dirfd()
function is thread-safe.
CONFORMING TO
POSIX.1-2008.
This function was a BSD extension, present in 4.3BSD-Reno, not in 4.2BSD.
NOTES
The prototype for
dirfd()
is available only if
_BSD_SOURCE
or
_SVID_SOURCE
is defined.
SEE ALSO
open(2),
closedir(3),
opendir(3),
readdir(3),
rewinddir(3),
scandir(3),
seekdir(3),
telldir(3)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- ATTRIBUTES
-
- Multithreading (see pthreads(7))
-
- CONFORMING TO
-
- NOTES
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:14 GMT, September 18, 2014


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Mouse over the div element below to change its background color:
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Some text A quote in a paragraph
Some text.
In this example, :lang defines the quotation marks for q elements with lang="no":
Note: IE8 supports the :lang pseudo class only if a !DOCTYPE is specified.


:1: IN THE HIGH COURT OF KARNATAKA DHARWAD BENCH DATED THIS THE 11TH DAY OF JANUARY 2018 BEFORE THE HON'BLE MR. JUSTICE N.K.SUDHINDRARAO CRL.P.No.100660/2014 BETWEEN SURYAKANT SHIVARAYA VEERAKAR, AGE: 62 YEARS, OCC: PENSIONER R/O H NO. 223 VIVEK NAGAR (EAST), BIJAPUR. ..... PETITIONER (BY SRI M G NAGANURI, ADV.) AND 1. THE KARNATAKA STATE POLLUTION CONTROL BOARD, HEAD OFFICE AT BANGALORE AND REGIONAL OFFICE AT BELGAUM, R/BY ITS ENVIRONMENT OFFICER SHRI K M NAGARAJ 2. THE STATE OF KARNATAKA R/BY THE ADDITIONAL SPECIAL PUBLIC PROSECUTOR, HIGH COURT OF KARNATAKA, DHARWAD BENCH. ..... RESPONDENTS (BY SRI GURUDEVA GACHCHINAMATH, ADV. FOR R1 SRI PRAVEEN K. UPPAR, HCGP FOR R-2) THIS CRIMINAL PETITION IS FILED U/S 482 OF CR.P.C. SEEKING TO QUASH THE ENTIRE PROCEEDINGS IN C.C. NO.132/2009 (P.C.NO.44/2008) ON THE FILE OF THE JMFC :2: COURT, SAUNDATTI AND THE ORDER DATED 21.01.2013 PASSED BY IT. THIS PETITION COMING ON FOR FINAL HEARING, THIS DAY, THE COURT MADE THE FOLLOWING: ORDER
This petition is filed under Section 482 of Cr.P.C. to quash the entire proceedings in C.C.No.132/2009 (P.C.No.44/2008) on the file of J.M.F.C., Saundatti for the offences punishable under Sections 24, 25 and 26 of Water Act and under Sections 43, 44 of Water (Prevention & Control of Pollution) Act, 1974 and the order dated 21.01.2009 passed by it.
2. The substance of the case are that the petitioner was a Chief Officer of Town Municipal Council, Saundatti from 17.11.2006 till 01.06.2007. This being the fact, the first respondent filed a private complaint against the petitioner in P.C.No.44/2008. It is the duty of Town Municipal Council, Saundatti to maintain and keep Saundatti Town clean and environment free from pollution and effluent. The Council having been established on the plain area, has allowed the discharg the entire untreated sewage without any treatment to Malaprabha River as :3: such, the water of the said river is being polluted. The complainant made correspondence with the petitioner to treat the sewage effluent in proper manner so as to avoid the contamination of river water. The petitioner did not care the instructions in spite of several directions made by the Pollution Control Board and did not comply with the provisions of the Water Act. The petitioner had obtained consent from the respondent No.1 for the period ending on 30.06.2005 on the condition to have its own treatment plant to treat the sewage effluent prior to its discharge and the petitioner had assured to comply with the terms and conditions. Thus, the main grounds of the complaint is that effective steps were not taken to treat the sewage effluent in proper manner so as to avoid the contamination of Malaprabha river water which is used for irrigation and for drinking.
3. Sri. M.G. Naganuri, learned counsel for the petitioner would submit that, the petitioner in his official capacity, was insisting the Government to install a plant and as such, the petitioner was not the Chief Officer on the :4: date of inspection. The petitioner is falsely implicated in the alleged crime. Hence, he prays for quashing of the proceedings initiated against him.
4. Sri G.I. Gachchinmat, learned counsel for the respondent No.1 would submit that petitioner was also the Chief Officer of the Town Municipal Council from the period of 23.05.2003 to 10.01.2005. The petitioner is responsible for the breach of consent. He would further submit that, the matter falls within the domain of the trial Judge, as it is open to the petitioner to urge his defence or justification before the trial Judge.
5. On the overall context and circumstance, I am of the view that it is open to the petitioner to urge his remedies before the trial Court. The petition is dismissed.
A liberty to the petitioner is given to urge all remedies before the trial Court.
Sd/-
JUDGE Naa


NLP Tasks
Domain Adaptation for Syntactic Analysis
Introduction
Current NLP systems tend to perform well only on their training domain and nearby genres, while the performances often degrade on the data drawn from different domains. For instance, the performance of a statistical parser trained on the Penn Treebank Wall Street Journal (WSJ; newspaper text) significantly drops when evaluated on text from other domains, as shown in the following table (results are from McClosky, 2010; for the details of those domains, cf. the next section):
Constituent-to-dependency Conversion
Introduction
Since dependency structure is not constrained by word order, it is considered to be more domain or language independent than phrase structure. Most current state-of-the-art dependency parsers use supervised learning approaches, which usually requires a large amount of annotated data. For English, there are some manually annotated dependency Treebanks available 12. Nonetheless, constituent-based Treebanks such as Penn Treebank are more dominant. Therefore, it is quite natural to built the tools that convert phrase structures to dependency structures.
-
Owen Rambow, Cassandre Creswell, Rachel Szekely, Harriet Taber, and Marilyn Walker. A dependency treebank for english. In Proceedings of LREC’02, 2002. ↩
-
M. Cmejrek, J. Curín, and J. Havelka. Prague czech-english dependency treebank: Any hopes for a common annotation scheme? In HLT-NAACL’04 workshop on Frontiers in Corpus Annotation, pages 47–54, 2004. ↩
Semantic Parsing
Introduction
In fact, “semantic parsing” is, ironically, a semantically ambiguous term, which could refer to:
Semantic Role Labeling
Introduction
Semantic Role Labeling (SRL), sometimes called shallow semantic parsing, is a process in natural language processing that assigns semantic roles to constituents or their head words in a sentence according to their relationship to the predicates expressed in the sentence. Typical semantic roles can be divided into core arguments and adjuncts. The core arguments include Agent, Patient, Source, Goal, etc, While the adjuncts include Location, Time, Manner, Cause, etc.
Meaning Representation
Brief Introduction to Abstract Meaning Representation
AMR (Abstract Meaning Representation), is a set of sentences paired with simple, readable semantic representations. Remember that we have talked about FrameNet, a well-known ontology for frame semantic representations. If you want to know more about AMR, click here.
Brief Introduction to Ontologies
Have you ever heard of WordNet, HowNet, FrameNet and ConceptNet? There are different kinds of ontologies towards lexicon, syntax and commonsense knowledge.
Linguistics
Brief Introduction to Chinese Morphology
This is the draft I wrote for my presentation for the course called English Lexicoiogy, where I was asked to introduce something about Chinese morphology to student from College of Foreign Languages.
Coursework
Build a Simple C Compiler with a Parse Tree!
Hi, there! I has completed my assignment for the course called Principles of Compilers eventually - building a simple C compiler. Additionally, I also wrote a Python draft to visualize the parse tree :) For more information about the process, please click here.


The best way to get Memebot is to go to my channel and type !joinme in chat! Memebot will automatically join your chat. If you want to re-name Memebot just message me! You can find my contact information on the contacts page! If you decide you do not want to use Memebot, just type !partme in your chat to make it leave!


User Research
During user research, two methods were used
1
2
User interview + focus group
Participant observation
user interview + focus group
We immediately contacted some friends who had experience watching either on Netflix, or other streaming services like HBO Now, Disney+ or Apple TV+, and asked them about what they think about current Netflix sharing experience.
"Imagine your Goth friend’s liking of The Notebook or your co-worker’s viewing of Fifty Shades of Grey as these were posted to their newsfeed. Dude.... that was like... soooo embarrassing.... I still wanna share with some of my friends, just... in a more subtle way"
Interviewee 1, age 24, male
"Often I just want to share my Netflix experience with certain people, like my boyfriend. But right now Netflix only allows for sharing via link plus random scenes or sth. So boring!"
"Sharing on Facebook?? Yuck. Gosh, that was like so grandpa thing."
Interviewee 2, age 16, female
"I want to talk about a certain thing that I want to share. Sometimes I'd completely forgotten what I have watched years ago. It's often the case that I started watching for some time before realizing I have already watched the documentary/show years ago. I would love to look back on the history of shows I have watched and share it not only to my friends, but the future me as well."
Interviewee 3, age 34, male
In talking with users, we’ve discovered:
1
People's discomfort when it comes to exposing viewing activity with others. But they do have the need to share to maybe a certain range of people. They need a more subtle, yet more fun way of sharing.
2
People also want a place of self-reflection on watched TV shows/movies.
Participant observation
By asking people to showcase how they socialize with friends and share Netflix-related information to them, I have discovered user flow obstacles illustrated below.
Problems
Through research and analysis, we have identified two problems:
Dull sharing experience
1
The current Netflix experience sharing process lacks empathy, users cannot grasp what's fun or what to look at beside basic info like names when people had sent you the url, and the sharing process is dull and simple.
2
Need for self-reflection
Users want something to reflect on, explore and show his own very unique identity.
🙋 How might we improve the dull experience of Netflix sharing?
🙋 How might we build a mental model for users to not only share but self-reflect and self-amuse?
Design principles
1
2
3
4
Independent rather than integration with netflix
The full experience journey design of online watching
The metaphors, the gamifications
Immersiveness, keep simplicity
Thus, to redesign the full experience of Netflix online watching
Thus, to intrigue users without provoking social awkwardness
Thus, users can be immersed in the app, fully engage with other users without disturbance and be back regularly
1. independent rather than integration with netflix
If you search on Google/Pinterest/Dribbble, you will find tons of Netflix redesign aiming at adding functions to current Netflix platform. However, Netflix app should adhere to its core: watching, rather than being attached too much distracting functions to. Extra functions given to Netflix will make it bloated and users can be easily distracted. In this way, some users who prefer to be private can focus on watching, while users who haven't purchased Netflix yet can also explore what others have watched in Galaxy.
Therefore, I designed this new app Galaxy to not be part of and deeply integrated with Netflix, but rather independent and interact closely with Netflix.
2. Creating The full experience journey design of online watching
The experience of online watching on Netflix is not just simply launch Netflix and watch. Rather, people will first discover shows, enjoy them, and talk/share about their feelings with people because sharing is a human nature (D, J., & J, P. L. 2004). While Netflix focus on the Enjoy part, Galaxy focuses on helping people discover and socialize.
3. How to gamify? 👉 The metaphor of 'planet' and 'galaxy'
It was at this moment that we came up with the idea of gamification and made the metaphor that everyone is just like a little planet floating in the infinite universe. Each and every one of them is unique. Sometimes they become closer and become friends, that's when a galaxy is formed.
Also, we want to provide users interactions with different intimacy, so you can not only socialize with acquaintance but close friends as well. We enable interactive behaviors between users and their friends by either a non-intrusive knock-knock, or sharing favorite clips together, or even creating a collective memory by watching movies/TV series together.
Real
metaphor
1
an individual
a planet
2
people start a conversation by a few words or by a collective interest
a comet/satellite forms and visits
3
become friends
form a galaxy
4
friends talking/sharing
a satellite carrying information
5
people sharing/enjoying a collective memory
a collective tiny planet revolving around two planets
After several iterations and discussions, we have settled how the architecture of our web app can be. It was sketched and scribbled and I prefected it afterwards.
👉 Entrance from Netflix to Galaxy
👉 Planet, as a mental model for individuals
Exploring your own planet
👉 Galaxy, formed by planets, as a gamified sharing experience
Checking out friends' list in the form of galaxy
👉 And, different ways of socialization, in reeeeeally fun ways!
🤙 Knock-Knock: Hi there! Nice to meet you!
Knock knock!
🤙 Gift: Wassup! Here is what I think...
🤙 Send a messenger: A collective memory
Checking out friends' activities
Seeing the collective planet and the collective watching experience


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A result-oriented and self-driven Software Engineer who specializes in Full-Stack Web Development. A person who is constantly improving his knowledge by continuously learning and keeping up with the latest trends with regards to the field of Information Technology.
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Thank you for your interest in %%PROJECT_NAME%%. %%PROJECT_NAME%% is a platform on which researchers can conduct studies of how people search the Web. It is currently available as a browser extension for Google Chrome and Firefox.
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PapiEx - Execute arbitrary application and measure hardware performance counters with PAPI
PapiEx is a performance analysis tool designed to transparently and passively measure
the hardware performance counters of an application using PAPI. It uses Monitor to
to effortlessly intercept process/thread creation/destruction. It measures the entire run
of an application. By default this includes all subprocesses. It is not a tool for selective
instrumentation, for that you should
use TAU or possibly
DynaProf. PapiEx's goal is to be a
Linux substitute for the perfex command found in SGI's Speedshop. PapiEx is fairly
simple to build, install and use. For a more full featured tool, please consider the excellent
PerfSuite distribution from Rick Kufrin at NCSA.
The most up to date documentation for monitor is always found in the man page.
Features
- No external dependencies other than Monitor and PAPI.
- Supports papiex_start()/papiex_stop() calipers in user code. man page.
- Can report all sorts of memory usage.
- Supports PAPI multiplexing.
- Supports automatic counting of useful available events for the architecture with a single flag (-a).
- Automatically detects threaded executables.
- Works for MPI and threaded-MPI executables.
- Has special support for MPICH, which avoids the need to link papiex to the MPICH library.
- Dumps aggregate statistics, such as mean/max/avg across threads and tasks.
- Can use mpiP for automatic MPI call profiling. No linking of the target dynamic executables with the mpiP library is needed.
- Works across variants of fork/exec and handles SIGINT/asserts/aborts properly.
- Can dump out shell arguments for those not wanting to use the papiex driver program.
- Supports counting native events (non-PAPI) and different counting domains.
- Architecture independent build and papiex-config driver. man page.
Download and Installation
- CVS is the best way to get the code.
- Those without CVS access (?!) can find the most recent release (1.0.4): papiex-1.0.4.tar.gz
- To build/install Papiex, please see the INSTALL file.
- To use Papiex, please see the man page.
Examples
The best documentation is in the form of examples. This example ASSUMES you
have successfully built AND installed PapiEx AND that you're in the platform specific build directory.
First we run emacs and count Total Cycles and Total Instructions redirecting the output from stderr(default)
to a file. Next we run the pthreads test case and tell PapiEx to create files.
[mucci@localhost]$ papiex -e PAPI_TOT_CYC -e PAPI_TOT_INS emacs 2> sample.emacs
[mucci@localhost]$ tests/papiex -e PAPI_TOT_CYC -e PAPI_TOT_INS tests/pthreads
Here's the output: sample.emacs, sample.pthreads.1, sample.pthreads.2, sample.pthreads.3 and sample.memory.
PapiEx can automatically multiplex and count useful events available on your architecture. This
is similar in intent to perfex -a and hpmstat -a
[mucci@localhost]$ papiex -a find /usr 2> sample.find
For statistical relevance, you should make sure that the run is reasonably long.
Multithreaded executables are handled seamlessly. PapiEx creates an output file the
name cmd.papiex.host.pid.instance.
The user can prefix the output file name with -pprefix flag. As an example:
[mucci@localhost]$ papiex -pmystats_ ./thrspecific 2>sample.thrspecific
The stderr output contains the aggregate statistics across
all five threads of the executable. Individual per-thread statistics are placed in a directory
mystats_thrspecific.papiex.localhost.localdomain.4444/task_0
Here are the files:
thread_0.summary, thread_1.summary,
thread_2.summary, thread_3.summary,
thread_4.summary.
Now let's consider a more involved example with a threaded-MPI run.
[mucci@localhost]$ mpirun -np 4 papiex -f /tmp bin/mpich2-mpi-thrspecific 2>sample.mpich2-mpi-thrspecific
The -f flag instructs PapiEx to create all output files under /tmp.
The aggregate statistics across all tasks (which in turn are aggregated across all the threads
for the task) are written to stderr, and can be seen here.
The per-task and per-thread statistics are placed in:
/tmp/mpich2-mpi-thrspecific.papiex.localhost.localdomain.4613
Per-task summaries, which are averaged across all the threads of a task can be seen under this directory:
task_0.summary,
task_1.summary,
task_2.summary,
task_3.summary.
The directory also contains per-task directories, which contain per-thread numbers as shown in the
previous example.
Finally, let's consider how PapiEx makes using mpiP, a light-weight library for scalable
profiling of MPI calls, easy to use. Normally, mpiP needs to be linked into the target executable.
The PapiEx driver allows seamless deployment of mpiP on dynamically-linked executables.
Let's see this with an example:
[mucci@localhost]$ mpirun -np 4 papiex -e PAPI_L1_DCM -M bin/mpich2-simple-mpi 2> sample.mpich2-simple-mpi
In the example we instruct PapiEx to measure L1 data cache misses, and also do
MPI profiling with mpiP. The stderr output can be viewed in
sample.mpich2-simple-mpi. The mpiP is stored in
mpich2-simple-mpi.mpiP.localhost.localdomain.4862.1.
The PAPI task statistics are stored in: mpich2-simple-mpi.papiex.localhost.localdomain.4862
CVS Access
Currently, the best way to get PapiEx is to get it directly from CVS. You can access the CVS repository with your browser or use the anonymous CVS pserver. Just hit enter when asked for the password.
% setenv CVSROOT :pserver:anonymous@cvs.cs.utk.edu:/cvs/homes/ospat
% cvs login
Password:
% cvs co papiex
Testing
The distribution includes a 'make test' phase. The current release has been tested on:
- i686 (Pentium III) / Fedora Core 3
- x86_64 (AMD 64-bit) / Suse 9
- ia64 (Itanium 2) / Debian 3.0
- x86_64 (Intel EM64T) / Fedora Core 3
- i686 (Pentium IV) / Redhat 9
- PPC32 (750FX)
- PPC64 (G5)
Bug Reports
PAPI bugs should be submitted to the PAPI Mailing List.
Authors
PapiEx was written by Philip J. Mucci of the Innovative Computing Laboratory and Tushar Mohan of SiCortex Inc.
Copyright
This software is OPEN SOURCE. If you incorporate any portion of this software, we would appreciate an acknowledgement in the appropriate places.


If you do not provide a claim, I will create a prayer and place it in The Gold Box, of which you will get the first claim for that work. I have been getting into the habit of having a daily prayer/blessing lately, to sort of work on my writing skills but also to do my part in adding a little good into the world.
As I describe in my about, I am not praying to a specific, defined entity, but more to the “Unknown,” if that can be said. If it helps, it could be said that I am praying to the “thing” that is responsible for all the bizarre discoveries with quantum mechanics and physics we see in the world.
Einstein himself called quantum mechanics spooky action at a distance, and let’s just say that I am in a bit of agreement with him as of late. As such, I am doing the most natural action in response to it as it occurs to me: praying to (and for) it.


Methods summary
public
|
#
__construct( string $base = null )
Class constructor
Parameters
- $base
string $base The base path for the Session
Overrides
|
public
|
#
initialize( object & $controller )
Initializes the component, gets a reference to
Controller::$param['bare'].
Initializes the component, gets a reference to
Controller::$param['bare'].
Parameters
- $controller
object $controller A reference to the controller
|
public
|
#
startup( object & $controller )
Startup method.
Parameters
- $controller
object $controller Instantiating controller
|
public
|
#
activate( string $base = null )
Starts Session on if 'Session.start' is set to false in core.php
Starts Session on if 'Session.start' is set to false in core.php
Parameters
- $base
string $base The base path for the Session
|
public
boolean
|
#
write( string $name, string $value = null )
Used to write a value to a session key.
Used to write a value to a session key.
In your controller: $this->Session->write('Controller.sessKey',
'session value');
Parameters
- $name
string $name The name of the key your are setting in the session. This should be in a
Controller.key format for better organizing
- $value
string $value The value you want to store in a session.
Returns
boolean True if the write was successful, false if the write failed
Overrides
|
public
mixed
|
#
read( string $name = null )
Used to read a session values for a key or return values for all keys.
Used to read a session values for a key or return values for all keys.
In your controller: $this->Session->read('Controller.sessKey'); Calling
the method without a param will return all session vars
Parameters
- $name
string $name the name of the session key you want to read
Returns
mixed value from the session vars
Overrides
|
public
boolean
|
#
del( string $name )
Used to delete a session variable.
Used to delete a session variable.
In your controller: $this->Session->del('Controller.sessKey');
Parameters
- $name
string $name the name of the session key you want to delete
Returns
boolean true is session variable is set and can be deleted, false is variable was not
set.
Overrides
|
public
boolean
|
#
delete( string $name )
Wrapper for SessionComponent::del();
Wrapper for SessionComponent::del();
In your controller: $this->Session->delete('Controller.sessKey');
Parameters
- $name
string $name the name of the session key you want to delete
Returns
boolean true is session variable is set and can be deleted, false is variable was not
set.
|
public
boolean
|
#
check( string $name )
Used to check if a session variable is set
Used to check if a session variable is set
In your controller: $this->Session->check('Controller.sessKey');
Parameters
- $name
string $name the name of the session key you want to check
Returns
boolean true is session variable is set, false if not
Overrides
|
public
string
|
#
error( )
Used to determine the last error in a session.
Used to determine the last error in a session.
In your controller: $this->Session->error();
Returns
string Last session error
Overrides
|
public
|
#
setFlash( string $message, string $layout = 'default', array $params = array(), string $key = 'flash' )
Used to set a session variable that can be used to output messages in the
view.
Used to set a session variable that can be used to output messages in the
view.
In your controller: $this->Session->setFlash('This has been
saved');
Additional params below can be passed to customize the output, or the
Message.[key]
Parameters
- $message
string $message Message to be flashed
- $layout
string $layout Layout to wrap flash message in
- $params
array $params Parameters to be sent to layout as view variables
- $key
string $key Message key, default is 'flash'
|
public
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#
renew( )
Used to renew a session id
Used to renew a session id
In your controller: $this->Session->renew();
Overrides
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public
boolean
|
#
valid( )
Used to check for a valid session.
Used to check for a valid session.
In your controller: $this->Session->valid();
Returns
boolean true is session is valid, false is session is invalid
Overrides
|
public
|
#
destroy( )
Used to destroy sessions
In your controller: $this->Session->destroy();
Overrides
|
public
string
|
#
id( mixed $id = null )
Returns Session id
If $id is passed in a beforeFilter, the Session will be started with the
specified id
Parameters
Returns
string
Overrides
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public
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#
__start( )
Starts Session if SessionComponent is used in Controller::beforeFilter(), or
is called from
Starts Session if SessionComponent is used in Controller::beforeFilter(), or
is called from
|


Scenario Planning Overview¶
Scenario Planning Process.
2.1. Establish Scenario Planning Framework.
2.1.1. Stakeholders.
2.1.2. Data and projects that inform the models.
2.1.3. Principles, issues and outcomes (this is about framing the discussion around issues and strategies people are most interested in).
2.1.4. Strategies for GHG reductions. (This is describing “levers” and the info/data we require to code them; a non-exhaustive list may include: TDM, Vehicle technologies and powertrains, Land Use, Transportation System, ITS, Transit).
2.2. Develop Evaluation Criteria.
2.3. Set Up Scenario Modeling
2.3.1. Base Year (link to section 3.3)
2.3.2. Future Baseline Reference Scenario (link to section 3.5)
2.3.3. Develop and Evaluate Alternative Scenarios (link to section 3.7)
2.4. Develop and Select a Preferred Scenario (link to 3.7 and set up 4.0)
2.4.1. Sensitivity Testing
2.4.2. Key Paths
VisionEval Overview¶
VisionEval (http://visioneval.org) is a collaborative project funded by a federal pooled funds initiative led by FHWA to integrate the [GreenSTEP family of models](https://github.com/ORScenPlg/VETechWiki/wiki/History-of-Strategic-Models) for performance-based transportation planning into a single open-source programming framework. The common framework shared between VisionEval models enables new features to be added in a ‘plug-and-play’ fashion so they can be easily shared among models.
Three models are currently available in the VisionEval framework: VE-RSPM, VE-RPAT, and VE-State. The VE-RSPM and VE-RSPM models are functionally the same as the RSPM and RPAT models, respectively. VE-State is the newest addition to the VisionEval project.
VE-RSPM models the region in zones (in a manner similar to traditional travel model zones), which results in improved spatial resolution of outputs, but which also increases the data development burden. The selection of the right tool therefore depends on a number of factors – available of data, project resources, desired spatial output detail, etc.
VE-State is essentially a state level version of VE-RSPM. Like VE-RSPM, this model operates at the zonal level, but the zones are larger than their VE-RSPM counterparts.
VE-RPAT operates primarily at the region level and therefore requires inputs at the region or place type level. As shown below, place types are defined as a combination of area type and development type. Area type (or regional role) describes the interdependencies of each neighborhood compared to the rest of the region, e.g., how centered is it to jobs in the region. Development type (or neighborhood character) is used to describe the physical characteristics of each neighborhood in isolation. Operating at the place type level simplifies the input data requirements and the spatial precision of outputs while still capturing the effects of the different place types in the region.
[insert picture of VisionEval Handout, or link handout directly in sidebar]
VisionEval Modeling Framework¶
All VisionEval models share a common framework composed of eight modeling steps. Each step includes several calculations, each determined through the statistical analysis of several data sources such as the National Household Travel Survey and the Census, that operate on the input data and the results of the previous calculation step. The steps define households and associated policies, characterize vehicle ownership of those households, calculate vehicle miles traveled (VMT) and emissions, balance VMT with travel costs, and finally estimate non-household travel and emissions (e.g., from commercial trucks or rail).
The model framework disaggregates travel demand impacts at an individual household level. Modeling at the household level makes it possible to evaluate the relationships between travel, emissions and the characteristics of households, land use, transportation systems, vehicles, and other factors. In addition, household level analysis makes it possible to evaluate the equitability of the costs and benefits of different strategies.
The model iterates through the last couple of steps to balance household travel with costs. The iterative process to balance the VMT with travel costs allows congestion and other costs introduced at this step influence the amount of travel. This step balances the amount of household travel with the cost of travel and recalculates household VMT, fuel use, and GHG emissions in the process. The primary outputs of VE-RSPM are household travel, fuel and power consumption, and GHG emissions calculations, but other information is produced for households and commercial vehicles as well. The amount of commercial (light‐duty) and freight (heavy duty) travel is calculated as well as associated fuel, power consumption and GHG emissions for those vehicles.

VisionEval models, particularly the more robust VE-RSPM and VE-State models, consider a large number of factors which affect the performance of transportation systems and their effects on people and the environment. The models were made with the intention of estimating and forecasting the effects of various policies and other influences on the amount of vehicle travel, the types of vehicles and fuels used, and the resulting GHG emissions among other outcomes.
The VE-RSPM models can assess the following situations (not exhaustive): * Changes in population demographics (age structure); * Changes in personal income; * Relative amounts of development occurring in metropolitan, urban and rural areas; * Metropolitan, other urban, and rural area densities; * Urban form in metropolitan areas (proportion of population living in mixed use areas with a well interconnected street and walkway system); * Amounts of metropolitan area transit service; * Metropolitan freeway and arterial supplies; * Auto and light truck proportions by year; * Average vehicle fuel economy by vehicle type and year; * Vehicle age distribution by vehicle type; * Electric vehicles (EVs), plug-in hybrid electric vehicles (PHEVs) * Light-weight vehicles such as bicycles, electric bicycles, electric scooters, etc.; * Pricing – fuel, vehicle miles traveled (VMT), parking; * Demand management – employer-based and individual marketing; * Car-sharing; * Effects of congestion on fuel economy; * Effects of incident management on fuel economy; * Vehicle operation and maintenance – eco-driving, low rolling resistance tires, speed limits; * Carbon intensity of fuels, including the well to wheels emissions; and * Carbon production from the electric power that is generated to run electric vehicles.


Pomodoro
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An American martial artist, actor, film producer and screenwriter.
I’m in Los Angeles, California, focusing on these things:
These are my priorities. I say no to everything else: conferences, speaking engagements, promoting anything, new projects.
Last update: October 22, 2016. (Page inspired by Derek Sivers.)


South Africa’s Ramaphosa urges men to ditch ‘sexist’ attitudes to end femicide
by AFPSouth African President Cyril Ramaphosa on Monday launched a campaign to curb femicide and attacks against women, urging men to change their “sexist and patriarchal attitudes”.
The mindset is fuelling gender violence in South Africa, which already has the reputation of being one of the world’s most dangerous places for females, he said.
“At the root of gender-based violence are sexist and patriarchal attitudes,” Ramaphosa said launching an annual 16-day anti-violence campaign in the northern province of Limpopo.
“We have truly had enough.”
“Our message to those who abuse women has been abundantly clear: there is no place in our society for you,” said Ramaphosa.
Statistics show that one female in South Africa is killed every three hours and each day 137 sexual offences are committed.
The past few months have seen a swelling outcry against gender violence, sparked by a string of shocking murders.
Ramaphosa lambasted the scourge as “a great shame on our nation”.
He vowed to crack down on perpetrators after “femicide” protests flared across the country in September, setting aside 1.6 billion rand ($108 million/98 million euros) for a six-month emergency plan.
The plan is meant to improve access to justice for survivors, carry out prevention campaigns to change attitudes and behaviour, and create economic opportunities for women who are vulnerable to abuse.
Government is opening more specialised Sexual Offences Courts across the country to expedite trials and police stations are being equipped with more rape evidence collection kits.


about
work
contact
Hello! Call me Pow.
I write code.
I'm Paola, most people call me Pow. Programming is the only career I can envision for myself. This will have to do for the about me section for now.


Every moment is fleeting away in the unknown infinity of our memory, We say everyday it's 6am, and every morrow comes with the same hours that illusions us like a dew's mist. But there is something morphing every moment, maybe we're oblivion of. Instead of being drown into the same hour again and again which we unknowingly accept, what if we could realize the preciousness of the current hour. 6am only comes once in our life, all the other time it's regarded as a universal time and that’s not the actual hour of our life. Since we're adding up every hour as if it was the same hour which would come again tomorrow, what if we could differentiate this hour which would never return again?
This chrome extension exactly shows you in which hour of your life you're currently living thus encouraging you to live in the current hour which was never there in past and nor would come again in future. Lots of us say "from tomorrow, I would do this or that" and repeat the same phrase again and again, without realizing that we're walking upon new hours of our life.


- Follow instruction and fill all inputs.
- Click "ADD INGREDIENT" button or press ENTER to add ingredient
- Your ingredient will apear below (BLUE SECTION) You can delate it by clicking red button "X".
- Calculations are updating automatically- GREEN SECTION below inputs.
I would greatly appreciate it if you would give me some feedback!


Exodus 22:14
And if a man borrow ought of his neighbor, and it be hurt, or die, the owner thereof being not with it, he shall surely make it good.


Welcome to {{title}}.
Use {{title}} to help plan and manage your weekly or monthly budgets. First, enter your total budget and then add your expenses. Save your budget so that you can later input your actual spend to see if you stayed within your budget.


I love to travel but dont travel as much as I would have liked to at this point. But that doesnt mean I haven't traveled at all! Check out my list of my favorite places I've been so far!


--- layout: slides title: Security scripts: [ ./script.js ] styles: [ ../reveal.js/theme/blood.css, ./style.css ] ---


Separation over 6 months; both paries agree to divorce, separation agreement as to real property or pension.
Separation over 1 year, both parties agree to divorce, separation agreement as to children custory and support.
Attorney Fee : $800 or more depending on the nature of the separation agreement, whether it contains child custody support, parenting, real property or pension.


--- layout: post title: Have a Beagle and Carry On external-url: http://haveabeagle.tumblr.com/ ---
Despite Tumblr’s focus on publishing different kinds of media in varied formats, it’s so often the one subject, one format streams like Have a Beagle that make the best tumble blogs. Our two pups would make great post candidates.
As a sidenote, Have a Beagle’s theme by Autumn Welles is one of the best I’ve seen.


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Downloading
Download the latest zip-archive from the release page
Web Panel
-
Backup your database in case of corruption
-
Switch back to the default theme if haven’t already
-
Upload and overwrite all contents in web to your SourceBans++ installation
-
Delete install directory
-
Navigate to your SourceBans++ website and append updater after it (Ex: example.com/updater, example.com/sb/updater)
-
After it displays Installation up-to-date., delete updater directory and you are done
Plugin
-
Upload and overwrite all contents in game to your root game directory (Ex: tf, cs, etc)
-
Reconfigure the config files in addons/sourcemod/configs/sourcebans/
-
Ensure everything is running smooth, and you are done
Plugin (Upgrading from version <= <IP_ADDRESS>)
-
Upload and overwrite all contents in game to your root game directory (Ex: tf, cs, etc)
-
Reconfigure the config files in addons/sourcemod/configs/sourcebans/
-
Delete sourcebans.smx, sourcecomms.smx, sbchecker.smx, sb_admcfg.smx, SourceSleuth.smx
-
Ensure everything is running smooth, and you are done


Politics of shamelessness, Ajit Pawar's wings cut off: Shiv Sena's tirade against the great betrayal
Shiv Sena has launched a scathing attack on BJP and the stunning turn of events of Saturday in which Devendra Fadnavis took oath as the CM even as Uddhav Thackeray was all prepared to be the next chief minister of Maharashtra.
HIGHLIGHTS
- Devendra Fadnavis took oath as the CM with NCP's Ajit Pawar as his deputy
- Shiv Sena has launched a tirade against the stunning turn of events
- Sena has called Saturday's events as "politics of shamelessness"
Shiv Sena has launched a vicious attack on former allies and now rivals Bharatiya Janata Party (BJP) and called the spectacular turn of events in Maharashtra "shameless politics". Shiv Sena in its mouthpiece Saamana has said Sharad Pawar has been betrayed.
In an early morning twist on Saturday, the President's rule was revoked in Maharashtra and Devendra Fadnavis was sworn-in as the chief minister with NCP's Ajit Pawar as his deputy. Ajit Pawar broke away from Sharad Pawar's NCP and joined hands with BJP to take oath as the deputy chief minister.
Even a few hours before this mega drama unfolded, Sharad Pawar had announced Shiv Sena chief Uddhav Thackeray as the CM face of the Sena-NCP-Congress alliance.
FOLLOW LIVE UPDATES ON MAHARASHTRA
In Saamana, Shiv Sena has said, "This is politics of shamelessness... Sharad Pawar has been betrayed".
Sharad Pawar's nephew Ajit Pawar, who was the legislature party leader of NCP, broke away from the party and pledged his support to BJP and Devendra Fadnavis in a stunning overnight coup that left everyone shocked.
Ajit Pawar was soon removed as the NCP legislature party leader. Sharad Pawar said the decision to side with Fadnavis was his nephew's personal choice and not that of the party.
Reacting to his sacking, Shiv Sena has said, "12 ghante mein Ajit Pawar ke baje baara (Ajit Pawar has been destroyed in 12 hours)".
"Ajit Pawar's wings have been cut off," Shiv Sena said. Shiv Sena has also called the turn of events a "farzikal strike".
The Shiv Sena, Congress and NCP have now moved the Supreme Court against Maharashtra Governor Bhagat Singh Koshyari's move to swear-in Devendra Fadnavis as the chief minister in a hurried early morning event.
The three parties have also said in their plea that there should be an immediate floor test in the Maharashtra assembly to avoid "horse trading" of MLAs.
Shiv Sena, Congress and NCP have also asked that the governor be directed to invite them to form government under the leadership of Sena chief Uddhav Thackeray, saying they have the support of more than 144 MLAs.


Hi
I've just recently bought an emontx v3 and raspberry pi base. I have manage to get it to read my mains electric and have it powered by 5V USB and the 9V AC-AC adapter. The only thing that confuses me is that on my nodes it is reading a pulse value even though I have no pulse counter and even stranger is that the reading changes. I have tried powercycling the emontx and the raspberry pi but the reading is still there. Any ideas?
I also would like to connect some temperature sensors and have 5x DS18B20 can someone advise which pins I should use If I want to attach RJ45 connectors to them as the digging I have done has given me conflicting information. From what I can find its
Pin2 - +5V (RED)
Pin4 - Data (Yellow/White)
Pin5 - GND (Black)
Thanks,
Clayton
Re: Emontx V3 showing pulse reading
The pulse input is clearly picking up noise from somewhere. Have you been handling the emonTx? touching the connections at the back of the RJ45 socket is enough to register pulses.
The Waterproof DS18B20 from the shop without the RJ45 connector is wired as you say, if yours came from there you should be correct.
Re: Emontx V3 showing pulse reading
I gave up on the RJ45 connection as I couldn't seem to get a reading. I wired a piece of CAT5 into the screw in terminals and put and RJ45 with coupler on the other end of the cable and now I am successfully reading temperatures from 2 temperature sensors.
Even with just a CAT5 patch lead plugged into RJ45 port with nothing else plugged into the other side the pulse reading starts to increment as soon as I unplug the patch lead it stops. Could this be a fault with the board?
Re: Emontx V3 showing pulse reading
I might have missed a pull-up or pull-down in the schematic somewhere, but it looks like that input is just left floating in which case your cat5 cable might easily be enough to get it flipping. Floating inputs can increase power consumption quite a bit too. You could try enabling the internal pull-up to see if that prevents the counts. Change:
pinMode(pulse_count_pin, INPUT);
to
pinMode(pulse_count_pin, INPUT_PULLUP);
Re: Emontx V3 showing pulse reading
I think you could be right there - I can't see a pull-up either. I'll flag it to Glyn.
[Edit]
That seems to work for me - it's no longer susceptible to a finger on the back of the connector.
Re: Emontx V3 showing pulse reading
Thanks for noticing this. The issue only effects the pulse count when no pulse sensor is detected. However I've added to the default emonTx code to turn on internal pull-up on IRQ pin by default. I've tested and this fixes the issue and does not effect pulse detection when a sensor is detected.
https://github.com/openenergymonitor/emonTxFirmware/commit/e04b1f775446fdd3f014011a794dcc6f2548930a
Re: Emontx V3 showing pulse reading
Glyn, will running the EmonPi update in Emoncms fix this issue in the EmonPi as well?


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Audio visualizations in A-Frame using Web Audio (AnalyserNode)
Detecting beats (i.e., kick or peaks) in audio
Surrounded 360 degrees by audio frequency bars
Various audio visualizations combined together.
Audio visualizations with searching Spotify song previews using speech recognition
Visualizing global average audio volume
Visualizing audio waveform (i.e., what the waves look like moving through a physical medium)


WQMY
Free Software To Make Your Windows 7 & Vista Look Like Mac OS X
Oct 11, 2010 . Windows 7 the most advanced OS of all time from Microsoft team. I like the way they built Windows 7 new look, highly customizable, options .
http://sharethewarez.com/make-windows7-vista-look-like-mac-os-x.html
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[Windows Detailed Tutorial] How to make Vista/Win7 look exactly ...
Sep 13, 2009 . HTML Code: This tutorial will you guys how to make your plain dull windows, into a exact Mac Os X 10.5.6-8 look alike. :] Note: This is long .
http://modmyi.com/forums/mac-themes/684276-windows-detailed-tutorial-how-make-vista-win7-look-exactly-like-mac-osx-10-5-4-6-a.html
Best way to make Vista look like Mac OS X Leopard. - YouTube
Oct 26, 2008 . How to make Vista look like Mac OS X Leopard the easy way, follow the links for all downloads. I tried to download the theme of Mac OS X .
http://www.youtube.com/watch?v=1w2J2TAS9V8
Contents |
[olivia fierro las vegas] History
Make Windows Vista look like Mac OSX Leopard with ... - DemoGeek
Nov 25, 2008 . Use this simple method to transform your Windows Vista's look to that of Mac OSX Leopard.
http://www.demogeek.com/2008/11/25/make-windows-vista-look-like-mac-osx-leopard-with-leopard-transformation-pack/
How to make Windows Vista Or XP Look Like Mac Os X Without ...
Jun 20, 2008 . There is an easy way to make boring old vista or XP look almost exactly like Mac Os X its really easy come learn how! To download go to .
http://www.instructables.com/id/How-to-make-Windows-Vista-Or-XP-Look-Like-Mac-Os-X/
(#1 WAY) How To Make Windows Vista Look Like Mac OS X ...
Jul 17, 2009 . Thanks for watching, is you liked this video please rate it 5 stars. Downloads: Download for cursors, theme files, and backgrounds: .
http://www.youtube.com/watch?v=xEgJ27jT9FQ
How to Make Vista Look Like a Mac - Life123
Learn how to make Vista look like a Mac and how to emulate Mac functions in Vista.
http://www.life123.com/technology/computer-hardware/mac/how-to-make-vista-look-like-a-mac.shtml
Make Windows Vista and 7 Look Like Mac OS X Snow Leopard ...
Aug 17, 2010 . Download the Snow Transformation Pack: http://www.winxsoft.com/stp/download. html In this video I show you a very simple way to make a .
http://www.youtube.com/watch?v=GiRTQ27QCMA
How to make Vista look like Mac
Oct 22, 2009 . Hi. Today I`m gonna make a new instructable. Title really says all so I hope you enjoy this theme. It will look something like that. Comment and .
http://www.instructables.com/id/How-to-make-Vista-like-like-Mac/
How to make your Vista look like a Mac - YouTube
Feb 11, 2009 .  The finder bar link: http://landvermesser.tripod.com/ The mac theme link: .
http://www.youtube.com/watch?v=7fwh9j3IRIE
How to make Vista look like Mac OS X - YouTube
Sep 8, 2009 . EDIT: Everything works perfectly on Windows 7, except VistaGlazz, which I haven 't even tried. Also, you won't need Caledos with Windows 7, .
http://www.youtube.com/watch?v=u31QkAOrAjk
How to Make Windows Vista Look Like Mac - Video
Aug 11, 2008 . This is a tutorial to show you how to make windows vista look like mac! http:// windowsedge.com/index.php?opti....  There are loads of ways you can fiddle with Vista's interface and .
http://www.techradar.com/us/news/software/operating-systems/7-ways-to-make-your-pc-look-like-a-mac-483798
How To Make Your Windows 7 or Vista look like Mac OS X Lion ...
Jul 30, 2011 . Song: Maths by DeadMau5Written Instructions:How To Make Your Windows 7/ Vista look like Mac OS X LionMaterials:Windows 7/Vista .
http://www.dailymotion.com/video/xk83ka_how-to-make-your-windows-7-or-vista-look-like-mac-os-x-lion_tech
[james c peel san angelo texas] Digital channels
| Channel | Name | next generation uav's excaliber | driveclone pro 7 serial | Programming |
|---|---|---|---|---|
| 53.1 | make vista look like mac DT | filter records in report access | elmer gantry religion essay | Main make vista look like mac programming / MyNetworkTV |
| 53.2 | WOLF DT | what wrong me tired irritable | nema electrical safety rating | Simulcast of the ford plantation ga |
| 53.3 | WSWB DT | 480i | 4:3 | Simulcast of maine sunrise sunset table |
Three Steps to Pimp Your Vista and Get a Mac Feeling - Softpedia
May 26, 2007 . Basically, Google Desktop works exactly like Spotlight because it . anything to make vista look better, i cant figure out why they cant ever .
http://news.softpedia.com/news/Three-Steps-to-Pimp-Your-Vista-and-Get-a-Mac-Feeling-55701.shtml
[computer time monitor for kids] References
[buildings in pittsburgh pennsylvania] External links
- buildings in pittsburgh pennsylvania
- origins of symbiosis by leon shernoff
- donald richie japanese film
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This section's entries control whether a list of models (specified in the INF) is displayed in the "Add New Hardware" wizard to allow the user to manually select the device to be installed. In this case, no selection is available.
See also the Glossary entry for [ControlFlags].
ExcludeFromSelect = *
There are no definitions or references for this directive.


C/SCA/6882/2013 ORDER IN THE HIGH COURT OF GUJARAT AT AHMEDABAD SPECIAL CIVIL APPLICATION NO. 6882 of 2013 ================================================================ RAJENDRASINH MANUBHA JADEJA & 1....Petitioner(s) Versus STATE OF GUJARAT & 6....Respondent(s) ================================================================ Appearance: MR JV VAGHELA, ADVOCATE for the Petitioner(s) No. 1 - 2 GOVERNMENT PLEADER for the Respondent(s) No. 1 MR BIREN A VAISHNAV, ADVOCATE for the Respondent(s) No. 4 - 5 NANAVATI ASSOCIATES, ADVOCATE for the Respondent(s) No. 6 NOTICE SERVED for the Respondent(s) No. 3 - 4 , 7 ================================================================ CORAM: HONOURABLE MR.JUSTICE ANANT S. DAVE and HONOURABLE MR.JUSTICE MOHINDER PAL Date : 22/08/2014 ORAL ORDER
(PER : HONOURABLE MR.JUSTICE ANANT S. DAVE) After arguing the case for some time and in view of the nature of subject petition and even disputed question of facts are involved, learned advocate for the petitioners seeks permission to withdraw this petition with a view to take proper remedy including filing of Civil Suit in accordance with law. Disposed of as withdrawn. Notice discharged.
However, withdrawal of petition shall not come in the way of Gujarat Pollution Control Board of taking action in accordance with law in case, if any breach of provision of Air and Water Pollution Act is noticed.
(ANANT S.DAVE, J.) Page 1 of 2 C/SCA/6882/2013 ORDER (MOHINDER PAL, J.) ashish Page 2 of 2


Hello {{data.user_name}},
Thank you for requesting an ERP System. The process has been completed and you can now log in at the domain listed below. Click on the link and use the Username and Password provided.
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|
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General-purpose image compositing. More...
#include <AccumulationArray.h>
Public Member Functions | |
| AccumulationArray (size_t width=0, size_t height=0) | |
| Default constructor. The channels are DATA, COUNT, WEIGHT, WEIGHT2. | |
| AccumulationArray (const AccumulationArray &accArray) | |
| virtual | ~AccumulationArray () |
| Destructor. | |
| virtual void | setGeometry (size_t width, size_t height) |
| Changes the geometry of all the layers. | |
| void | setGeometry (const AreaGeometry &geometry) |
| Changes the geometry of all the layers. | |
| const AreaGeometry & | getGeometry () const |
| void | clear () |
| Resets the accumulation array values to undetectValue. Does not change the geometry. | |
| void | reset () |
| Collapses the accumulation geometries to zero area. | |
| unsigned int | getWidth () const |
| Returns the width of the accumulation array. | |
| unsigned int | getHeight () const |
| Returns the height of the accumulation array. | |
| const CoordinateHandler2D | getCoordinateHandler () const |
| size_t | address (const size_t &i, const size_t &j) |
Public Attributes | |
| ImageT< double > | data |
| Accumulation array for actual data: , or generally . | |
| ImageT< double > | weight |
| Accumulation array for weights ( ) | |
| ImageT< unsigned int > | count |
| Accumulation array ( in ) | |
| ImageT< double > | data2 |
| Accumulation array for auxiliary data; typically for std.deviation or difference (in Overwrite) | |
Protected Attributes | |
| AreaGeometry | geometry |
| CoordinateHandler2D | coordinateHandler |
Friends | |
| class | AccumulationMethod |
General-purpose image compositing.
Applied pre-scaling for the data; by default scale=1 and bias=0. Weights are assumed to take values between 0...1. In the extraction stage, the data can be scaled.
AccumulationArray has four layers:
Injection. The main loop iterates radar (image) data points of type <Ti>, mapping each point to a single point in the target array of type <T>; hence the name injector.
Cumulation. The compositing starts by initiating the target image, see open(). Each input radar image is projected on the target image cumulatively, see execute(). Finally, the cumulation must be completed by normalizing the result with the number/weight of cumulated inputs, see close(). Hence, the target which should be seen.
The weights are stored in the first alphaChannel (index 0) of the target image. If the target has a second image channel, also the (weighted) squared values are cumulated.
In cumulation, ...
The default type of target image, that is, cumulation array, is double. If no (float valued) weighting is applied, target image could be long int as well.


We provide services. Check some of them out here.
title = "Home" url = "/" layout = "default" is_hidden = 0 child_of = "mey_no_parent" hide_crumb = 0 remove_crumb_trail = 0 crumb_disabled = 0 == {% put styles %} {% endput %}
{% put scripts %} {% endput %}


--- layout: post title: Rack - the underlying machine of Ruby web applications date: '2014-01-21T00:40:37+01:00' tags: - rack - ruby category: 'Programming' tumblr_url: http://andywenk.tumblr.com/post/74000733801/rack-the-underlying-machine-of-ruby-web-applications ---
Moin Moin,
I you have ever wondered how a Ruby web applications/frameworks like Rails, Sinatra or Padrino work, you should understand what Rack is doing.
Rack was created 2007 by Christian Neukirchen (inital blog post). Rack does this:
"Rack aims to provide a minimal API for connecting web servers and web frameworks."
Pratik Naik wrote a nice thread with some basic examples. You should read it.
Actually I had problems installing Mongrel so I simply changed to Thin and used a Gemfile and an .rvmrc file for convenience. I put the code together in a mini project called airforec_one. Please note the typo in the name :).
.rvmrc
rvm use ruby-2.0.0-p353@airforec_one --create
Gemfile
source "https://rubygems.org"
gem 'rack'
gem 'thin'
init.rb
require 'rubygems'
require 'rack'
require 'thin'
class HelloMrPresident
def call(env)
[200, {"Content-Type" => "text/html"}, "Hey this is the president. Whazz up?"]
end
end
Rack::Handler::Thin.run HelloMrPresident.new, :Port => 3000
Now run the code:
ruby init.rb
Thin web server (v1.6.1 codename Death Proof)
Maximum connections set to 1024
Listening on <IP_ADDRESS>:3000, CTRL+C to stop
And open http://localhost:3000
What you see is the beginning of your career as a Ruby web framework developer. But just if Rails is too heavy, Sinatra is too less and Padrino is too young.
Cheers
Andy


Develop a MIDI note music generator with interesting visuals on the Lightpad Block.
Launch the BLOCKS CODE application and open the script called MusicGen.littlefoot
. You can find the script in the littlefoot/scripts/Example Scripts
folder. If you don't have the BLOCKS CODE IDE installed on your system, please refer to the section Getting started with BLOCKS CODE for help.
Let's first start by defining global parameters for our app such as the speed, root note and chord for our music generator like so:
We also need to define global variables such as colours, bullet direction and coordinates, blob direction and coordinates as well as the last note played and the number of note generators on the screen.
In the initialise() function of our script, we first clear the display and send a MIDI CC message to turn all MIDI notes off thus resetting both the visual and audio states of the app. We also initialise all the variables to default values and set the colours we want to use.
In order to reset the state of the music generator at anytime, we implement the handleButtonDown() callback to initialise the state of the app when the side button of the Lightpad is pressed.
In the repaint() function we first clear the display and perform 4 sequential operations every time the screen is refreshed: paint blobs, draw bullets, update bullets and detect bullets. These functions are each defined later on.
Now let's take a look at drawing various elements on the screen. The blobs that start shooting the note bullets are drawn using the following paintBlob()
function:
Depending on the direction of the blob we decide to draw the shapes using different colours and we use the blendRect() function to blend the pixel of the overlapping coordinate. Similarly, we draw the bullets with the drawBullet()
function depending on the direction of the corresponding blob.
Up until now, the script would not draw anything on the screen as touch events are not handled yet and default coordinates are set to be out of bounds with the screen coordinates. Let's implement the touchStart()
callback to process touch events.
In the above function, we first convert the device coordinates into LED grid coordinates by multiplying both x and y variables by 7. Device coordinates are defined using the number of DNA connectors on the side of the device so for example in the case of a Lightpad Block, the device has a size of 2x2 and therefore the device coordinates will range from 0.0 to 2.0 on each x and y dimensions. Multiplying this range by 7 gives us the LED grid coordinates ranging from 0 to 14 inclusive.
Now using these grid coordinates, we use the touchBlob()
helper function defined below to check whether the touch event was performed on a previously drawn blob and return its index. If no previous blobs were touched, we return 0 to indicate the creation of a new one.
The changeBlob()
function is called in the touchStart() callback when an existing blob is touched and updates the index for its direction to update the orientation.
If the creation of a new blob was requested from the touchStart() callback, depending on the pressure of the touch event we spawn a different type of blob at the specified coordinate and call the corresponding function to spawn a bullet.
To spawn a bullet we simply assign the coordinates and direction of the blob to the bullet which overwrites the default values and makes the bullet appear within the screen coordinates.
The position of the bullet is updated from the repaint() function by incrementing or decrementing the corresponding x or y coordinate by the speed variable defined as an IDE parameter which consequently moves the bullet on the screen.
Now that all the visuals are implemented we have to generate some MIDI messages to trigger sounds from the host. The detectBullet()
function is called periodically in the repaint() function and performs some basic collision detection.
Here we check if any of the bullets have crossed the screen boundaries and spawn a new bullet when the old bullet becomes off-screen. Notice here we make sure the default value of -99 defined in the initialise() function does not trigger the spawning of a bullet. We also generate a MIDI note by calling the helper function midiNote()
defined hereafter:
In order to play a harmonious set of MIDI notes, the above function generates specific notes that form the chord with a root note and major/minor quality as defined in the parameters. It follows a simple set of rules as follows:
The selected note is then passed to the following helper function in order to stop the previously ringing note and start a new one using respectively the sendNoteOff() and sendNoteOn() functions with the channel number, the note number and the note velocity as arguments.
In this example, we learnt how to create a music generator app that sends MIDI messages to a host.


Under Cygwin, paths such as C:\Users
would appear as
/cygdrive/c/Users
, while paths that belong to Unix such
as /var/log
are actually C:\cygwin64\var\log
. This
script converts Cygwin paths to Windows-understandable paths.
Put this file under your ~/bin
folder and make it executable
via chmod +x toWinPath
.
Now, you can run commands such as explorer $(toWinPath .)
in
order to open up explorer.exe
under that folder.


Submit
P.A.L.S. School Game
Number of questions:
5
10
15
20
Enter Username:
Choose Game Mode:
Competition
Practice


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} Dashboard Shift Log People Landing Tasks Meetings Logged in as: Martha Green, Offender Manager AB12345 Log out Meeting booked With: Ian Rider When: Today at 10:30 Where: Meeting room 2 This meeting has been added to your calendar and schedule. Ian Rider will be notified via The Hub. Dashboard {% endblock %}
This meeting has been added to your calendar and schedule.
Ian Rider will be notified via The Hub.


Tyrone's Homepage
welcome
This is everything I have
welcome
This is everything I have
welcome
This is everything I have
welcome
This is everything I have
Tyrone's Homepage


We invite you to participate in a research study investigating learning, memory and decision making. In this study, you will play computer games, answer questionnaires and/or take standardized cognitive tests.
Your participation in this study will remain confidential. However, the following individuals and/or
agencies will be able to look at, copy, use, and share your research information:
- The investigator, Columbia University Medical Center, and other medical professionals who may be evaluating the study
- Authorities from Columbia University, including the Institutional Review Board ('IRB')
- The Federal Office of Human Research Protections ('OHRP')
Data will be collected, analyzed and stored with an alphanumeric code and never kept with any
information that could be used to identify participants. All documents with identifying information will be
kept separate from study data in a locked file cabinet or password protected electronic files.
Your authorization to use and share the information collected for this research purpose does not have an
expiration (ending) date.
Your Amazon Mechanical Turk (Mturk) worker ID (i.e., the 14-character sequence of letters and numbers
used to identify workers) will be kept separate from study data in a password protected electronic file.
There are no personal benefits to completing this study. However, possible broader benefits may be that you will contribute to a greater understanding of underlining cognitive processes in learning, memory and decision making. There is a risk of loss of private information; this risk always exists, but there are procedures in place to minimize the risk.
If you agree to take part in this research study, we will pay you for completion of the task at the posted rate on Amazon Mechanical Turk. Payment will be given upon verification that the survey was completed and response accuracy verified. This will occur as soon as possible, dependent upon availability of a member of our research staff, this may take up to 72 hours for both verification and payment through Amazon. Tax law may require the Columbia University Finance Department to report the amount of payment you receive from Columbia University to the Internal Revenue Service (IRS) or other agencies, as applicable. Generally, this reporting would take place if you receive payments that equal $600 or more from Columbia University in a calendar year. You would be responsible for the payment of any tax that may be due. You will be paid for your participation at the posted rate.
Taking part in this study is your choice. You can decide not to take part in or stop being in the study at any time for any reason (even after you agree to this consent form). However, even if you revoke (take back) this consent and authorization, the researchers may continue to use and disclose the information they have already collected.
If you have any questions or concerns about this study, please contact any member of the research team, including the Principal Investigator, Dr. Daphna Shohamy<PHONE_NUMBER>) or Postdoctoral Fellow: Dr. Akram Bakkour<PHONE_NUMBER>).
If at any time you have questions or concerns about your rights or welfare as a research subject, please contact the Columbia University – Morningside Institutional Review Board. The Institutional Review Board is a committee organized to protect the rights and welfare of human subjects involved in research and operates independent of the research team.
Columbia University – Morningside Institutional Review Board
615 West 131st Street
212-851-7040
Mental Health Resources
Your participation in this study will not include psychological counseling. In the event you seek such
services, please contact one of the centers below:
National Hopeline Network: 1-800-784-2433
National Suicide Prevention Lifeline: 1-800-273-8255
Behavioral Health Treatment Services Locator: https://findtreatment.samhsa.gov/
If you agree to participate, please proceed to the survey or task...


Search Earthquakes with magnitude greater than input mag
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'Serial rapist' Joseph McCann 'raped women and child in depraved attacks over 3 days'
Joseph McCann, 34, is accused of 37 offences which were allegedly committed over a three day period in April and May with one of the alleged victims being just 11
by David Coleman, Emily Pennink, https://www.mirror.co.uk/authors/david-coleman/An alleged serial rapist embarked on a series of "shocking and depraved" sex attacks on women and children, a court has heard.
Joseph McCann, 34, is accused 37 charges including multiple rapes, kidnap and false imprisonment involving 11 victims, one as young as 11 years old, over three days in April and May.
Opening his Old Bailey trial, John Price QC told how one of the alleged victims, a 25-year-old woman, was snatched as she walked home in Walthamstow, east London, just after midnight on April 25.
Mr Price told jurors: "He told her to stop screaming or he would stab her.
"He dragged her to a nearby car, pushed her inside and drove off."
The prosecutor said the woman was raped "many times" over the next 14 hours and subjected to acts of "shocking depravity and violence".
Mr Price went on: "He hit her and threatened to smash a vodka bottle in her face.

"He made her call him 'daddy' and say that she was a child.
"At one point the man parked the car near to a school, saying that he wanted to make her rape a child. He raped (the woman) at that location.
"On occasions he said he would put her in the canal to wash his DNA off her.
"At other times he said he would take her away to Europe and never release her."
Just after midday on the same day, McCann allegedly abducted a 21-year-old woman in Edgware, north London, while still holding prisoner his first alleged victim.
Jurors were shown CCTV footage of the alleged abduction.
The victim is seen being bundled into a silver Ford S Max car while her younger sister manages to get away and run home screaming.
The younger sibling could be heard weeping as her mother explained what happened in a 999 call.
The two women managed to escape in Watford after the 25-year-old hit McCann over the head with a vodka bottle, jurors heard.
Mr Price said they were not the first victims, the defendant having struck in Watford a couple of days before on Sunday, April 21.
A 21-year-old woman was snatched at knifepoint as she walked from a nightclub called Pryzm, the court heard.
Not guilty pleas have been entered on all the charges relating to the 11 alleged victims.
McCann, of Harrow, north west London, is charged with 10 counts of false imprisonment, seven counts of rape, one count of rape of a child, two counts of causing or inciting a person to engage in sexual activity without consent, seven counts of kidnap, one count of attempted kidnap, three counts of causing or inciting a child under 13 to engage in sexual activity, three counts of assault by penetration, one count of sexual assault and two counts of committing a sexual offence with intent.


It should work with all Angular 1.x versions
This loader should offer the option to change the stroke width and size as required and the colour as needed along with the opacity. There is also a line version.
Most basic options - these must be set: give it an id and a type and youre good to go
<gl-spinner gl-id="loader0" gl-type="circle"></gl-spinner>
This simply loads in the default values for a very basic spinner.
Change the size. You might need it to fill a larger space - or simply a space in a line where a small amount of dynamic data is being loaded. Remember that it is positioned absolutely and takes the dimensions of the containing element that must be positioned relatively to sit in the right place. A tweak to the 'g' element in the css file using translate: transform() might be necessary.
<gl-spinner gl-id="loader1" gl-type="circle" gl-size="76"></gl-spinner>
Change the stroke thickness. There is a balance here, but the smaller the size, the thinner the line. I could have added that as a rule, but decided to leave that option to the end user.
<gl-spinner gl-id="loader2" gl-type="circle" gl-size="76" gl-stroke-width="1"></gl-spinner>
Change the colour. Any valid css colour will do and is applied to the element's 'stroke' property, so I thought I'd keep it that way.
<gl-spinner gl-id="loader3" gl-type="circle" gl-size="76" gl-stroke="#ed1b1e"></gl-spinner>
Change the opacity. Accepts the css values for opacity from 0 to 1 with all of the bits in between.
<gl-spinner gl-id="loader4" gl-type="circle" gl-size="76" gl-stroke="#ed1b1e"></gl-spinner>
Change the speed. If the spinner is small, it will be super fast, so with a size of 18, a speed of .25 isn't too bad. Large ones can be slow, so have a play.
<gl-spinner gl-id="loader5" gl-type="circle" gl-size="76" gl-stroke="#ed1b1e" gl-speed="5"></gl-spinner>
Don't forget to add the styles above for the line version ( glspinner[cc-type='line'] {width:100%;display:block;} )
<gl-spinner gl-id="loader6" gl-type="line" gl-size="76" gl-stroke-width="4" gl-stroke="#bada55" gl-opacity=".8" gl-speed="5"></gl-spinner>
The only attribute that does not affect the line version is the size.
Look Ma!! a square one.
<gl-spinner gl-id="loader7" gl-type="square" gl-size="76" gl-stroke="#ed1b1e"></gl-spinner>


class: center, middle, inverse, title-slide # STA 235 - Causal Inference: Regression Discontinuity Design ## Spring 2021 ### McCombs School of Business, UT Austin ---  # Another identification strategy - We have seen: .box-2[RCTs] .box-3[Selection on observables] .box-4[Natural experiments] .box-6[Differences-in-Differences] -- .box-7LA[Regression Discontinuity Designs] --- background-position: 50% 50% class: left, bottom, inverse .big[ I'm on the edge [of glory?] ] --- # Introduction to Regression Discontinuity Designs

 .box-2LA[Regression Discontinuity (RD) Designs] --

 .box-2tL[Arbitrary rules determine treatment assignment] --

 .box-3t[E.g.: If you are above a threshold, you are assigned to treatment, and if your below, you are not (or vice versa)] --- # Key Terms .box-4LA[Running/ forcing variable] .box-4t[Index or measure that determines eligibility] -- .box-7LA[Cutoff/ cutpoint/ threshold] .box-7t[Number that formally assigns you to a program or treatment] --- # Hypothetical tutoring program -- .box-5[Students take an entrance exam] -- .box-5tL[Those who score 70 or lower
get a free tutor for the year] -- .box-5[Students then take an exit exam
at the end of the year] --- # Assignment based on entrance score  --- # Let's look at the area close to the cutoff  --- # Let's get closer  --- # Causal inference intuition .box-2LA[Observations right before and after the threshold are essentially the same] -- .box-4LA[Pseudo treatment and control groups!] -- .box-7LA[Compare outcomes right at the cutoff] --- # Exit exam results according to running variable  --- # Fit a regression at the right and left side of the cutoff  --- # Fit a regression at the right and left side of the cutoff  --- .center2[ .box-5LA[You can find discontinuities everywhere!] ] --- # Geographic discontinuities .center[ ![](https://raw.githubusercontent.com/andrewheiss/evalf20.classes.andrewheiss.com/master/static/slides/img/10/timezones-1.png) ] --- # Time discontinuities .center[ ![:scale 60%](https://raw.githubusercontent.com/andrewheiss/evalf20.classes.andrewheiss.com/master/static/slides/img/10/hospitals-1.png) ] --- # Voting discontinuities .center[ ![:scale 55%](https://raw.githubusercontent.com/maibennett/sta235/main/exampleSite/content/Classes/Week7/2_RD/images/voting_share.png)] --- background-position: 50% 50% class: left, bottom, inverse .big[ Let's get [a bit] math-y... ] --- # Behind the scenes of RDs - Basically, regression discontinuities work under an **.darkorange[asymptotic assumption]**: -- - Let `\(Y_i\)` be the outcome of interest, `\(Z_i\)` the treatment assignment, `\(R_i\)` the running variable, and `\(c\)` the cutoff score: `$$Z_i = \left\{ \begin{array}{ll} 0 & R_i\leq c \\ 1 & R_i>c \\ \end{array} \right.$$` -- - Then, we can define the treatment effect `\(\delta\)` as: `$$\delta = \lim_{\epsilon \rightarrow 0^+}E[Y_i| R_i = c + \epsilon] - \lim_{\epsilon \rightarrow 0^-}E[Y_i| R_i = c + \epsilon]$$` --- # What does the limit expression mean?  --- # What does the limit expression mean?  --- # What does the limit expression mean?  --- .center2[ .box-2LA[What is the estimand we are estimating?] ] --- .center2[ .box-2LA[Local Average Treatment Effect (LATE) for units at R=c] ] ---

 .box-3[Is that what we want?] --

 .box-5[Probably not ideal, there may not be *any* units with R=c] --

 .box-7[... but better LATE than nothing!] --- # JITT: Can we estimate an effect for R=25 vs R=75?  --- # Conditions required for identification -- - Threshold rule **.darkorange[exists]** and cutoff point is **.darkorange[known]** -- - The running variable `\(R_i\)` is **.darkorange[continuous]** near `\(c\)`. -- - Key assumption: .box-5LA[Continuity of E[Y(1)|R] and E[Y(0)|R] at R=c] -- .box-5t[That's the math-y way to say what most of you answered on the JITT!] --- # Potential outcomes need to be smooth across the threshold  --- # Potential outcomes need to be smooth across the threshold  --- .center2[ .box-2LA[Can you think situations where that could happen?] ] --- background-position: 50% 50% class: left, bottom, inverse .big[ Now it's your turn! ] --- # Let's go back to our discount example - Customers are given discounts based on their **.darkorange[order of arrival]** .center[ ![](https://raw.githubusercontent.com/maibennett/sta235/main/exampleSite/content/Classes/Week7/2_RD/images/queue.png)] -- - We could think of this as an **.darkorange[RD in time]**, where `\(c\)` is the time of arrival of customer 1,000. --- # Work in groups
 .box-3[1) Each group will be given a task and some code] --

 .box-5[2) You need to complete the code and discuss the results] --- # Group 1 .center2[ .box-3LA[What did you have to do?] ] --- # Group 1: Check the treatment assignment ```r c = max(sales$time[sales$treat==1]) ggplot(data = sales, aes(x = time, y = treat)) + geom_point(data = filter(sales, time<=c), pch = 21, color = "white", fill="#900DA4", position = pos) + geom_point(data = filter(sales, time>c), pch = 21, color = "white", fill="#F89441", position = pos) + ```  --- # Group 2 .center2[ .box-4LA[What did you have to do?] ] --- # Group 2: Check the regression discontinuity on the outcome ```r ggplot(data = sales, aes(x = time, y = sales)) + geom_point(pch = 21, color = "white", fill="grey") + geom_smooth(data = filter(sales, time>c), method = "loess", se=TRUE, color = "#F89441", fill = "#F89441") + geom_smooth(data = filter(sales, time<=c), method = "loess", se=TRUE, color = "#F89441", fill = "#900DA4") ```  --- # Group 3 .center2[ .box-6LA[What did you have to do?] ] --- # Group 3: Check smoothness of income ```r ggplot(data = sales, aes(x = time, y = income)) + geom_point(pch = 21, color = "white", fill="grey") + geom_smooth(data = filter(sales, time>c), method = "loess", se=TRUE, color = "#F89441", fill = "#F89441") + geom_smooth(data = filter(sales, time<=c), method = "loess", se=TRUE, color = "#F89441", fill = "#900DA4") ```  --- # Group 4 .center2[ .box-7LA[What did you have to do?] ] --- # Group 4: Check smoothness of income under different assignment ```r ggplot(data = sales_mod, aes(x = time, y = income)) + geom_point(pch = 21, color = "white", fill="grey") + geom_smooth(data = filter(sales, time>c), method = "loess", se=TRUE, color = "#F89441", fill = "#F89441") + geom_smooth(data = filter(sales, time<=c), method = "loess", se=TRUE, color = "#F89441", fill = "#900DA4") ```  --- # Group 4: Check histogram of arrivals ```r ggplot(data = sales_mod, aes(x = time)) + geom_histogram(fill="grey", color = "white", bins = 70) + geom_vline(aes(xintercept = 180), color = "#900DA4", lwt=2, lwd=1.4) theme_bw() ```  --- background-position: 50% 50% class: left, bottom, inverse .big[ Estimation in practice ] --- # How do we actually estimate an RD? - The simplest way to do this is to fit a regression: `$$Y_i = \beta_0 + \beta_1(R_i-c) + \beta_2\mathrm{I}[R_i>c] + \beta_3(R_i-c)\mathrm{I}[R_i> c]$$` --- # How do we actually estimate an RD? - The simplest way to do this is to fit a regression: `$$Y_i = \beta_0 + \beta_1\color{#900DA4}{\underbrace{(R_i-c)}_\text{Distance to the cutoff}} + \beta_2\mathrm{I}[R_i>c] + \beta_3\color{#900DA4}{\overbrace{(R_i-c)}^\text{Distance to the cutoff}}\mathrm{I}[R_i> c]$$` --- # How do we actually estimate an RD? - The simplest way to do this is to fit a regression: `$$Y_i = \beta_0 + \beta_1(R_i-c) + \beta_2\color{#F89441}{\underbrace{\mathrm{I}[R_i>c]}_\text{Treatment}} + \beta_3(R_i-c)\color{#F89441}{\overbrace{\mathrm{I}[R_i> c]}^\text{Treatment}}$$` -- - You want to add **.darkorange[flexibility]** for each side of the cutoff. -- .box-2LA[Can you identify these parameters in a plot?] --- # Let's see some examples: Sales using a linear model ```r sales <- sales %>% mutate(dist = c-time) lm(sales ~ dist + treat + dist*treat, data = sales) ```  --- # Let's see some examples: Sales using a linear model .small[ ```r summary(lm(sales ~ dist + treat + dist*treat, data = sales)) ``` ``` ## ## Call: ## lm(formula = sales ~ dist + treat + dist * treat, data = sales) ## ## Residuals: ## Min 1Q Median 3Q Max ## -65.738 -13.940 0.051 13.538 76.515 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 178.640954 1.300314 137.38 <2e-16 *** ## dist 0.205355 0.008882 23.12 <2e-16 *** ## treat 31.333952 1.842338 17.01 <2e-16 *** ## dist:treat -0.200845 0.012438 -16.15 <2e-16 *** ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 20.52 on 1996 degrees of freedom ## Multiple R-squared: 0.6939, Adjusted R-squared: 0.6934 ## F-statistic: 1508 on 3 and 1996 DF, p-value: < 2.2e-16 ``` ] --- # What happens if we fit a quadratic model? ```r lm(sales ~ dist + I(dist^2) + treat + dist*treat + treat*I(dist^2), data = sales) ```  --- # What happens if we fit a quadratic model? ```r summary(lm(sales ~ dist + I(dist^2) + treat + dist*treat + treat*I(dist^2), data = sales)) ``` ``` ## ## Call: ## lm(formula = sales ~ dist + I(dist^2) + treat + dist * treat + ## treat * I(dist^2), data = sales) ## ## Residuals: ## Min 1Q Median 3Q Max ## -66.090 -13.979 0.239 13.154 76.656 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 1.698e+02 1.937e+00 87.665 < 2e-16 *** ## dist -4.302e-03 3.556e-02 -0.121 0.903725 ## I(dist^2) -8.288e-04 1.363e-04 -6.083 1.41e-09 *** ## treat 3.308e+01 2.747e+00 12.041 < 2e-16 *** ## dist:treat 1.713e-01 4.964e-02 3.452 0.000569 *** ## I(dist^2):treat 2.034e-04 1.877e-04 1.084 0.278554 ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 20.23 on 1994 degrees of freedom ## Multiple R-squared: 0.7029, Adjusted R-squared: 0.7021 ## F-statistic: 943.5 on 5 and 1994 DF, p-value: < 2.2e-16 ``` --- # Next class .pull-left[ ![](https://media.giphy.com/media/SWVzkIlHdEckF81gnA/giphy.gif) ] .pull-right[ - Check how to rely less on **.darkorange[parametric assumptions]** - What is the **.darkorange[optimal bandwidth]** to estimate our RD? - Talk about **.darkorange[fuzzy regression discontinuities]** ] --- .center2[ .box-5LA[Have a good Spring Break!] ] --- # References - Angrist, J. and S. Pischke. (2015). "Mastering Metrics". *Chapter 4*. - Heiss, A. (2020). "Program Evaluation for Public Policy". *Class 10: Regression Discontinuity I, Course at BYU*. - Lee, D. and T. Lemieux. (2010). "Regression Discontinuity in Economics". *Journal of Economic Literature 48, pp 281-355*.


--- layout: about title: About ---
Data scientist who has experiences such as
To
- deliver actual values to the client with machine & deep learning
In
- chemical industry
- energy industry
With
- building machine learning pipelines delivers insight to client from machine learning models
- providing problem-customized model by automatic network architecture search
- meta learning to solve small dataset problems


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Hey there !
i am currently persuing in
bachlor of engineering
from
Chitkara Universty
I am a student ,currently pursuing in bachelor's degree . I am tring to gain knowledge every single day, I am a web developer, a python geek, and a java coder .
wanted to learn more about my Works in these languages then press here 👇🏼
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