@import Model.Earthquake @import Model.Coordinate @(Coordinate: Coordinate, Earthquake: Earthquake, test: String)


@@include('modules/markdown_compiled/index/body.html') @@include('modules/markdown_compiled/index/second.html')
this is a test here hre here
this is a test test yy
Maintain Aspect Ratio Mixin
16:9
@@include('modules/header_footer/footer.html')


{% extends "base.html" %} {% block content %}
Transport and accumulation of a protein at a site of DNA damage (region of interest = ROI) in the nucleus is modeled using a simple diffusional process, subject to the boundary conditions enforced by the nuclear perimeter (Nuclear Mask). Optimal values of the diffusion coefficient (D) and F (mobile fraction) are returned for your experimental data along with overlay graphs and exportable files of the simulation.


§449-5.5 Net capital. The net capital of any corporation engaging in the escrow depository business under this chapter shall not be less than $100,000. The amount of the minimum net capital of $100,000 shall be maintained at all times by the licensee. [L 1973, c 174, §§1, 2; am L 1976, c 101, §1; am L 2013, c 166, §4]


Gujarat High Court Case Information System Print CR.A/2224/2009 7/ 7 ORDER IN THE HIGH COURT OF GUJARAT AT AHMEDABAD CRIMINAL APPEAL No. 2224 of 2009 ========================================================= GUJARAT POLLUTION CONTROL BOARD - Appellant(s) Versus K A MALE PHARMA LTD. & 6 - Opponent(s) ========================================================= Appearance : MR SUNIL L MEHTA for Appellant(s) : 1, RULE SERVED for Opponent(s) : 1 - 2, 6, RULE UNSERVED for Opponent(s) : 3 - 5. MR DC SEJPAL, APP for Opponent(s) : 7, ========================================================= CORAM : HONOURABLE MR.JUSTICE Z.K.SAIYED Date : 15/02/2010 ORAL ORDER
The present Criminal Appeal, under section 378 of the Code of Criminal Procedure, 1973, is directed against the judgment and order dated 26.09.2000 passed by the learned Judicial Magistrate, First Class, Ankleshwar, in Criminal Case No. 80 of 1991, whereby the learned Magistrate was pleased to acquitted all the respondents accused from the charges levelled against them.
The brief facts of the prosecution case is that the respondent No. 1 is the company, respondents No.2 to 5 are the Directors and respondent No.6 is the Production Manager of the company. It is alleged that the respondent No.1 company is discharging dirty water without treatment and thereby the respondents have committed the breach of consent given by the Board on 8.7.1988.
It is alleged that on 1.02.1990 the Officers of the Board visited the respondent No.1 company and took the sample of effluent water and sent the same for analysis. It is alleged that the Analyst vide Report dated 21.3.1990 found that the said samples were not conforming to the standards laid down by the Board and the same is injurious to the public health and also to the animals. Thereby, the respondents have committed the breach of Section 24 & 25 of the Water Act and committed the offence punishable under Sections 43, 44 and 47 of the Water Act. Therefore, after obtaining sanction the complaint has been filed against the respondents accused. Thereafter, the trial was conducted against the respondents accused. The trial Court examined the witnesses and also considered the documentary evidence led before it and after considering the documentary as well as oral evidence has acquitted the respondents accused from the charges levelled against them.
It was contended by learned Advocate Mr. Sunil Mehta for the appellant that the judgment and order of the learned Magistrate is not proper, legal and it is erroneous. He has also contended that the learned Magistrate has not considered the evidence of the witnesses. He has contended that the Board Officers have followed the rules prescribed by law and the Officer of the Board have also followed the procedure of taking the sample. The sample was seized and sealed properly. Yet, the learned Magistrate has not considered the evidence of prosecution. Therefore, the order impugned in this appeal passed by the learned Magistrate requires to be quashed and set aside.
Learned Advocate, appearing for the respondents original accused, has supported the judgment and order of acquittal passed by the trial Court and contended that the trial Court has rightly acquitted the respondents accused.
It is a settled legal position that in acquittal appeal, the Appellate Court is not required to re-write the judgment or to give fresh reasonings when the Appellate Court is in agreement with the reasons assigned by the trial court acquitting the accused. In the instant case, this Court is in full agreement with the reasons given and findings recorded by the trial Court while acquitting the respondents- accused and adopting the said reasons and for the reasons aforesaid, in my view, the impugned judgment is just, legal and proper and requires no interference by this Court at this stage. From the perusal of record it appears that the prosecution has not followed Rule 27, which is mandatory and, therefore, there is no question to entertain this Appeal. Hence, this appeal requires to be dismissed.
Even in a recent decision of the Apex Court in the case of State of Goa V. Sanjay Thakran & Anr. Reported in (2007)3 SCC 75, the Court has reiterated the powers of the High Court in such cases. In para 16 of the said decision the Court has observed as under:
16. From the aforesaid decisions, it is apparent that while exercising the powers in appeal against the order of acquittal the Court of appeal would not ordinarily interfere with the order of acquittal unless the approach of the lower Court is vitiated by some manifest illegality and the conclusion arrived at would not be arrived at by any reasonable person and, therefore, the decision is to be characterized as perverse. Merely because two views are possible, the Court of appeal would not take the view which would upset the judgment delivered by the Court below. However, the appellate court has a power to review the evidence if it is of the view that the conclusion arrived at by the Court below is perverse and the Court has committed a manifest error of law and ignored the material evidence on record. A duty is cast upon the appellate court, in such circumstances, to re-appreciate the evidence to arrive to a just decision on the basis of material placed on record to find out whether any of the accused is connected with the commission of the crime he is charged with.
Similar principle has been laid down by the Apex Court in the cases of State of Uttar Pradesh Vs. Ram Veer Singh & Ors, reported in 2007 AIR SCW 5553 and in Girja Prasad (Dead) by LRs Vs. state of MP, reported in 2007 AIR SCW 5589. Thus, the powers which this Court may exercise against an order of acquittal are well settled.
It is also a settled legal position that in acquittal appeal, the appellate court is not required to re-write the judgment or to give fresh reasonings, when the reasons assigned by the Court below are found to be just and proper. Such principle is laid down by the Apex Court in the case of State of Karnataka Vs. Hemareddy, reported in AIR 1981 SC 1417.
Thus, in case the appellate court agrees with the reasons and the opinion given by the lower court, then the discussion of evidence is not necessary.
I have gone through the judgment and order passed by the trial court. I have also perused the oral as well as documentary evidence led by the trial court and also considered the submissions made by learned Advocate for the appellant. The trial court while considering the oral as well as documentary evidence has clearly found that the prosecution has not followed the mandatory Rule 27 of the Rules. The trial Court has also observed that the complainant has no personal knowledge and as per the instruction and on the basis of papers available with him. The trial Court has also found that it is not clear from the deposition of the witness that at the time of taking the sample one of the accused was present or not. The trial Court has also found that report was not signed by any responsible officer of the company. The trial Court has clearly found that the prosecution has failed to prove its case beyond reasonable doubt. Even in the present appeal, nothing is produced or pointed out to rebut the conclusion of the trial Court. Thus, from the evidence itself it is established that the prosecution has not proved its case beyond reasonable doubt.
Mr Sunil Mehta learned Advocate for the appellant is not in a position to show any evidence to take a contrary view of the matter or that the approach of the trial court is vitiated by some manifest illegality or that the decision is perverse or that the trial court has ignored the material evidence on record.
In the above view of the matter, I am of the considered opinion that the trial court was completely justified in acquitting the respondent of the charges leveled against him.
I find that the findings recorded by the trial court are absolutely just and proper and in recording the said findings, no illegality or infirmity has been committed by it.
I am, therefore, in complete agreement with the findings, ultimate conclusion and the resultant order of acquittal recorded by the court below and hence find no reasons to interfere with the same. Hence the appeal is hereby dismissed. The Judgment and order dated 26.9.2000 passed by learned Judicial Magistrate, First Class, Ankleshwar, in Criminal Case No.80 of 1991 is hereby conformed. R & P to be sent back to the trial Court, forthwith. Bail bond, if any, stands cancelled.
(Z.K.
SAIYED, J.) sas Top


H5R
is only the common base class and is never used. User should not create objects of this
class by themselves and instead use the create_reference
methods of H5D
, H5Group
or H5File
classes.
Sub-classes are H5R_OBJECT
and H5R_DATASET_REGION
Object of class H5R
.
subset_read(dim_index, drop = TRUE)
Method that returns a subset of the data in the H5R-object Parameters
A list of dimension indices as usually pasted into [
Logical. Should dimensions of size 1 be dropped.
subset2_read(i, exact = TRUE)
Method to read a single item Parameters
The single item to read
Is the item name exact or should partial matching be allowed?
subset_assign(dim_index, value)
Assign values into a subset of the H5R-vector Parameters
A list of dimension indices as usually passed into [
The value to assign
subset2_assign(i, exact = TRUE, value)
Assign a value to a single value in the array Parameters
the index where to assign the value
The value to assign
t()
Transpose the object if it is a matrix (i.e. has rank 2
length()
Get the length of the object
ref(ref)
Get or assign the internal raw-vector representation of the data. Usually, user's shouldn't have to use this.
dim(x)
Get or assign the dimensionality of the object
dimnames(x)
Get or assign the dimnames of the object
names(x)
Get or assign the names of the object
rank()
Get the rank of the object


This website was created on 19/7/2021 by Daniel6996-arch.
It comprises some of my favorite fish flies photographs.
Fish flies are handcrafted baits used to hook fish. They looked like insects thus the name "fish flies". When crafted by experts, they display no obvious difference from live insects.


Obese woman who weighed huge 46st says stage 4 cancer diagnosis saved her life
Jen Costa's weight ballooned up 25stome after a car accident 14 years ago. She would regularly binge on takeaways and was a size 9Xl when she was diagnosed with tongue cancer
by Olive Loveridge-GreeneA morbidly obese woman said her life was saved after she lost 35 stone - when doctors were forced to cut off her TONGUE.
Jen Costa, 35, piled on 25 stone over 14 years after she suffered injuries in a car crash and gorged on takeaways every day - leaving her tipping the scales at almost 650lbs.
Size 9XL Jen was so large she was unable to stand up in the shower and had to have her partner wash her with a sponge as she sat on a chair.

Jen, then 46st, was diagnosed with stage 4 cancer of the tongue but was told to prepare for the worst because she was too fat for surgery and radiation.
Refusing to accept death as an answer, Jen visited a dozen hospitals across New York City before a doctor agreed to help.
She underwent a 19 hour operation to remove most of her tongue and replace it with one made from a bit of her arm.
It left her unable to eat solid food, and now she exists on a liquid diet, and she has lost a staggering 35 stone over two years.

"What started as the darkest period of my life soon revealed itself as my biggest blessing in disguise.
"I used to be addicted to food. I abused the privilege to eat.
"After the car accident I was completely bed-bound and ordered a takeaway every single day.
"Now I have no choice.
"I can't eat anything but it's a blessing. I've lost 500lbs.
"God allowed me to battle cancer and to make me appreciate all that I took for granted in my life.
"Beforehand I was obese, sad, miserable, depressed and angry.
"But the cancer has made me strong and humble.
"I have no taste in my mouth - it's just a lump in my mouth which is just there.

"But despite that I'm just so much happier."
Jen says she had "always been a bit chubby" throughout her teenage years but was still a pretty active person.
But aged 19 Jen was hit by a car on a public highway which saw her left knee snap and ligaments torn in half, held together only by skin.
She lost movement in her legs for a year and then struggled with putting weight on her leg, plunging her into a depression and making her turn to food for comfort.
She also self-medicated with 'angel-dust' - PCP - for comfort, and piled on a whopping 25 stone over the course of 14 years.
But in early 2015 Jen noticed she had an aching pain in her mouth.
When she struggled to complete a takeaway order over the phone, she decided to visit the doctor.
She said five doctors and a dentist dismissed a small white lump on the right side of her tongue as a virus, for three months.
She claims she probed them to investigate it further after doing her own research online.
She was diagnosed with stage 4 metastatic cancer, an aggressive form of squamous cell carcinoma, and told it had spread to the lymph nodes in her neck.
Jen said: "I was given medication after medication and nothing was working.
"I turned round one day and said 'Doc, do you think I have cancer?'"
"He almost laughed it off and said 'No way! You're too young for cancer.
"So I left it at that.
"But over the next few months the pain was becoming unbearable.
"It was getting difficult to eat and even speak.
"I don't think I was saying more than a few dozen of words a day.
"That wasn't much of a life.
"I decided to go and see one more doctor.
"And thank God I did because that was when everything was about to change.
"After a five minute examination the doctor turned round and told me 'I'm sorry to tell you this but that's definitely cancer.'"
"Everything went dark. I had, what?
But when she was finally diagnosed with stage four cancer by her sixth doctor, Jen was initially told she was too fat to operate on and was told to prepare for the worse.
She said: "He told me he didn't feel comfortable operating on me because of my size.
"He denied me surgery because he said the radiation wouldn't get through to my neck because of all the fat.
"But I still didn't take that for an answer."
She claims they told her total removal of the tongue was the only option.
But she visited a dozen hospitals across New York City before a doctor agreed to carry out a forearm flap reconstruction and a glossectomy which removed 95 per cent of her tongue.
Jen said: "Although the new tongue is there, it has no movement and no feeling.
"It's just there and takes up the empty space.
"I was told I would need to be fed through a tube for the rest of my life.
"I was also told I would just have a 30 per cent chance to survive the next five years as my cancer was extreme.
"I was completely numb. I felt my life was over.
"Even if I defied the odds and survived it wasn't a way to live.
"To be honest I don't know how I survived it."
Doctors initially told Jen she would have to be hooked up to a ventilator to help monitor her breathing, but again she defied odds by teaching herself to breathe unaided.
For the past two-and-a-half years Jen has been on a diet of liquid shakes which - coupled with three skin removal surgeries - has seen her weight drop from 46 stone to a remarkable 12 stone.
"I just know if I wasn't told I had cancer, I wouldn't be here today," she said.
"I would have just continued sitting there eating my life away.
"I've lost the ability to taste and chew things properly.
"But I took advantage of that when I had it.
"Because I'm not eating as much, I have so much excess skin.
"I've had a few skin removal surgeries which has helped me loose the weight.
"The diagnosis just turned my life completely around.
"I had to die a little in order to learn to appreciate how it felt to be truly alive.
"I'm alive for the very first time in my life."


StatRank: Statistical Rank Aggregation: Inference, Evaluation, and
Visualization
A set of methods to implement Generalized Method of Moments and Maximal
Likelihood methods for Random Utility Models. These methods are meant to
provide inference on rank comparison data. These methods accept full,
partial, and pairwise rankings, and provides methods to break down full or
partial rankings into their pairwise components. Please see Generalized
Method-of-Moments for Rank Aggregation from NIPS 2013 for a description of
some of our methods.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=StatRank
to link to this page.


In addition to work, I have taken on a few side projects and had some valuable experiences.
I've been developing mobile applications for more than 3 years.


The Typing Hooks SPI allows modules to intercept various key typed events
handled by the editor infrastructure. Historically, this was possible by subclassing
editor actions such as DefaultKeyTypedAction
or InsertBrakeAction
and overwriting their performAction
method. This however is not very
flexible approach. It's main drawback is that modules can't easily intercept
key typed events handled in editors (eg. EditorKit
s) that are provided
by other modules. The Typing Hooks SPI addresses these drawbacks while providing
semantically compatible functionality with what used to be possible by subclassing editor actions.
The editor actions superceded by Typing Hooks SPI are still available and the code that uses them should still work. But they will be deprecated and eventually removed.
Netbeans editor panes are ordinary JTextComponent
s and therefore
they fully follow keyboard events processing scheme defined by Swing (please read
more about Text Input in JTextComponent
's javadoc). For the
purpose of understanding Typing Hooks SPI it is important to note that
the SPI interceptors are at the very end of the KeyEvent
processing
pipeline, which means that some KeyEvent
s may never reach
them. However, in a typical environment these events will not present
printable characters that could be inserted in an edited document. Typically they are
shortcuts bound to special actions in the editor's Keymap
(newly
a pair of InputMap
, ActionMap
).
In general the SPI provides several different types of interceptors (interfaces) that clients can implement and register for a document type (mimetype) of their interest. Each interceptor type is meant to process different types of keyboard input. The interceptor types currently available are listed below.
TypedTextInterceptor
- processes KeyTyped
events
that would normally be processed by DefaultKeyTypedAction
registered
for a given editor type. Any other KeyEvent
that has an Action
associated
in the editor pane's keymap will trigger that Action
and will not reach
registered interceptors of this type.
TypedBreakInterceptor
- processes KeyTyped
events
that would normally result in inserting a line break in the edited document.
DeletedTextInterceptor
- processes KeyTyped
events
that would normally remove text from the edited document.
Interceptors are created by calling a factory implementation registered in
MimeLookup
. For example an implementation of TypedTextInterceptor
can be plugged in by registering TypedTextInterceptor.Factory
instance
for the appropriate mimetype in MimeLookup
. The snippet below shows
how this registration could look.
<folder name="Editors"> <folder name="text"> <folder name="x-something"> <file name="org-some-module-TTIFactory.instance" /> </folder> </folder> </folder>
The TTIFactory
class will simply return a new instance of
the module's implementation of TypedTextInterceptor
interface from its
createTypedTextInterceptor
method.
In general interceptors are created as they are needed. However, unlike in other editor SPIs where SPI implementation objects are short lived and get all their information in the form of a context object from the factory that created them, the interceptors are long lived objects that are created with a minimal context and reused many times. The reason for this is mostly performance considerations. Typically there are many keyboard events as users type and their processing has to be as fast as possible.
The interceptors are created for a document type or more precisely for a MimePath
of the document fragment, where a user is typing. This allows to call different interceptors
depending on where in the document a particular keyboard event happens. Therefore embedded
sections can use different interceptors than the main document.
The MimePath
is the only context that the interceptor factory gets from
the infrastructure and it is the only context that it is supposed to pass to interceptor
instances that it creates. All the other information needed for a particular interceptor type
to do its job will be provided at the time when an event happens and the interceptor is called
to process it. This makes it possible to reuse one interceptor implementation many times
for processing different events in different documents.
As explained earlier Netbeans editors follow swing concepts for handling keyboard events. All keyboard events processing and editor actions invocation in swing editors is done in the AWT thread, which means that events are processed in one thread only and in the order as they happened. The same applies for interceptors and Typing Hooks SPI in general.
In particular it is guaranteed that only one interceptor is used at a time and it's always called from AWT thread. Therefore a typical interceptor does not have to use any explicit synchronization code (unless it accesses a resource that can be simultaneously accessed from other threads of course).
However, interceptor types may define a specific protocol, which determines how interceptors of that type are chained, what methods are called first, if and what document locks are acquired prior calling the interceptor, conditions when the event processing can be interrupted, what happens with the rest of the queued interceptors, etc. Please see documentation of each interceptor type interface for detailed information.
Many languages need to automatically reindent lines as user types certain statements. For example in java language the 'case' statements in a 'switch' block should be aligned to the same column similarly as in the code snippet below. The java editor helps users to do that by automatically indenting the lines that contain 'case' statements as soon as a user types the double colon at the end of the statement.
switch(price) { case 100: // do something cheap break; case 1000: // do something more expensive break; }
This can easily be done by implementing
TypedTextInterceptor
and its afterInsert
method. The implementation can check the text
inserted in the document as a result of the key typed event processing and reindent
the line if its text matches required pattern.
Moreover, the Editor Indentation API
provides an implementation of TypedTextInterceptor
, which reindents lines that
match provided regular expressions. Please see AutomatedIndenting
class for more details.
It can safe a lot of typing if the editor correctly completes pair characters
such as ()
, {}
, ""
, ''
, etc.
For example when one of the pair character is typed or deleted the editor
automatically adds or removes its couterpart. Additionally, the editor may wrap selected text in
the pair characters such as quotes ""
if one of them is typed (eg. in java producing a string literal).
These features can be implemented by providing specialized
TypedTextInterceptor
and
DeletedTextInterceptor
implementations.


Short Line Auto
About Us
Inventory
Contact
Inventory:
Check out our inventory through the links below!
Car Soup
Find Cars


IFFI to pay homage to 13 veteran Bollywood personalities for their contribution
The grand inaugural ceremony of the IFFI, which is set to end on November 28, will be hosted by ace filmmaker Karan Johar.
by ANINew Delhi: The International Film Festival of India (IFFI) will be paying homage to 13 film personalities of the Bollywood for their contribution to the industry.
Taking to Twitter, Indian film critic and trade analyst Taran Adarsh shared the post informing that IFFI2019 will be paying homage to 13 veteran actors from the Bollywood fraternity.
These film personalities include filmmaker late Mrinal Sen, late actor Girish Karnad, music composer Khayyam, late actor Kader Khan, late film producer Raj Kumar Barjatya, stuntman and father of actor Ajay Devgn, late Veeru Devgan and late actor Vidya Sinha. The homage section will showcase their notable films.
The grand inaugural ceremony of the IFFI, which is set to end on November 28, will be hosted by ace filmmaker Karan Johar.
Approximately 200 foreign films will be screened during the festival. In the event, 24 films are in the race for Oscar nominations. The festival will also showcase 50 films of 50 women directors. The event will be held from November 20 to 28 in Goa.
Minister of Information and Broadcasting, Prakash Javadekar earlier informed that French actor Isabelle Hupert will be honoured at the festival with the 'Life Time Achievement Award' for a 'foreign artiste'.
South Indian superstar Rajinikanth will also be conferred with the 'Icon Of Golden Jubilee Award' for his outstanding contribution to Indian cinema at the festival.


A movie about what your pets do in the time between when you leave for work and return home.
A former Special Forces operative turned mercenary is subjected to a rogue experiment and becomes Deadpool.
Disaster Movie about an Airplane in trouble
Derek and Hansel are modelling again when an opposing company attempts to take them out from the business.
U.S. Secret Service agent Mike Banning springs into action when terrorists attack London.
The story of a Smart Girl by day and a Super Girl at night.


|
cds
1.5.0
|
Pool allocator adapter. More...
#include <cds/memory/pool_allocator.h>
Pool allocator adapter.
This class is an adapter for an object pool. It gives std::allocator
interface for the pool.
Template arguments:
T
- value typeAccessor
- a functor to access to pool object. The pool has the following interface: Usage
Suppose, we have got a pool with interface above. Usually, the pool is a static object:
The pool_allocator
gives std::allocator
interface for the pool. It is needed to declare an accessor functor to access to thePool:
Now, cds::memory::pool_allocator< T, pool_accessor >
can be used instead of std::allocator
.


This is a simulation game set up in a virtual world and does not represent real life. Please play in moderation


Fresh from cool waters, Hot from our ovens
They're cookies made into the shape of a salmon, and actually made with salmon
A Northwest tradition of excellence, Pat's salmon cookies are a staple of Northwest cuisine. Sourced from local non farmed raised line caught salmon, we take the salmon and mince the meat. Using a secret recipe discovered by accident one night when Pat had a peculiar craving.
Merchandise
We are a family owned and operated business. The fact of the matter is, we adopt all of our workers into our family. Well ok, not legally, but we love our dedicated staff and offer educational, medical, dental, and savings benefits. You can catch us not just in Seattle but at events around the Sound. Like Issaquah's very own Salmon Days Festival. Where we go and set up shop in the festival as a sponser and food vendor.


|
SUBJECT INDEX Anthropology Architecture Art Black Studies Business Ecology Economics Education Film Healthcare History Law Linguistics Literature Mass Media Medicine Music Philosophy Political Science Psychology Religion Science Shakespeare Sociology Sports Recreation Urban Studies Women's Studies |
Education: Cultural & Racial AspectsTo order a specific paper, click the Catalog Number button next to the Paper Title of interest. Send comments to<EMAIL_ADDRESS>Last Updated: 12/21/96 Copyright ©1996 ASM Communications, Inc. All Rights Reserved. |


---
layout: post
title: no title
date: '2012-02-26T09:20:33+00:00'
tags: []
tumblr_url: http://backlog.robbevan.com/post/18307280431/300000-norwegians-move-house-every-year-if-the
---
300.000 Norwegians move house every year. If the pattern made by their journeys could be compressed into one short animation, what would it look like? (via vis.bengler.no)


demglm1
data
and a vector of classifications t
. The data is
generated from two Gaussian clusters, and a generalized linear model
with logistic output is trained using iterative reweighted least squares.
A plot of the data together with the 0.1, 0.5 and 0.9 contour lines
of the conditional probability is generated.
demglm2
, glm
, glmtrain
Copyright (c) Ian T Nabney (1996-9)


Top1:
Top2:
Top3:
Top4:
Top5:
Movie Description:
The channels that viewers get in touch movies
The comparison between the Top 5 movies grossing during the first five days(millions dollars)


Next: Advantages of step-driven valuation, Previous: Value overview, Up: Value methods [Contents][Index]
Libmarpa’s valuator provides the application with “steps”, which are instructions for stack manipulation. Libmarpa itself does not maintain a stack. This leaves the upper layer in total control of the stack and the values that are placed on it.
As example may make this clearer. Suppose the evaluation is at a place in the parse tree where an addition is being performed. Libmarpa does not know that the operation is an addition. It will tell the application that rule number R is to be applied to the arguments at stack locations N and N+1, and that the result is to placed in stack location N.
In this system the application keeps track of the semantics for all rules, so it looks up rule R and determines that it is an addition. The application can do this by using R as an index into an array of callbacks, or by any other method it chooses. Let’s assume a callback implements the semantics for rule R. Libmarpa has told the application that two arguments are available for this operation, and that they are at locations N and N+1 in the stack. They might be the numbers 42 and 711. So the callback is called with its two arguments, and produces a return value, let’s say, 753. Libmarpa has told the application that the result belongs at location N in the stack, so the application writes 753 to location N.
Since Libmarpa knows nothing about the semantics, the operation for rule R could be string concatenation instead of addition. Or, if it is addition, it could allow for its arguments to be floating point or complex numbers. Since the application maintains the stack, it is up to the application whether the stack contains integers, strings, complex numbers, or polymorphic objects that are capable of being any of these things and more.
Next: Advantages of step-driven valuation, Previous: Value overview, Up: Value methods [Contents][Index]


Cong releases fifth list for Jharkhand polls
by PTIThe Congress on Sunday released its fifth list of three candidates for the upcoming assembly polls in Jharkhand, taking the total number of nominees declared so far by the party to 29.
This comes a day after the party fielded its national spokesperson Gourav Vallabh, who recently became popular on social media after a showdown with BJP spokesperson Sambit Patra at a TV debate, to take on Jharkhand Chief Minister Raghubar Das in the elections.
Congress president Sonia Gandhi approved the candidature of Sona Ram Sinku from Jaganathpur (ST), Suresh Baitha in place of Rajiv Kumar from Kanke (SC) and Sunny Toppo from Mandar.
Jharkhand will vote in five phases, with the first on November 30 and the last on December 20. The results will be declared on December 23.
The Jarkhand Mukti Morcha (JMM), the Congress and Lalu Prasad Yadav's Rashtriya Janata Dal had recently announced a pre-poll tie-up for the state with former Jharkhand chief minister Hemant Soren as the alliance's CM face.
The Congress will contest 31 seats out of 81 seats in the Jharkhand assembly. The RJD will contest on seven seats, while the largest chunk of the alliance share has gone to the JMM, which will contest elections on 43 seats. PTI ASK SNE SNE


CARNEGIE-MELLON UNIVERSITY
College of Humanities and Social Sciences
DISSERTATION
Submitted in Partial Fulfillment of the Requirements
For the Degree of DOCTOR OF ARTS
nee ee are ner ern LD
Title AMERICAN EXPANSIONIST SENTIMENT AND THE ANNEXATION
OF HAWAIT
Presented by GEORGE FRANKLIN PEARCE
Accepted by the Department of _ HISTORY
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Wh IT
9 A EY [Meg L,/77°¢
(Direct of Dicsortation) MY Date a
1 Ded Pad Hoe “ 6 19?e
~~ Date Phin dad. yy
Approved by the Committee on Graduate Degrees
Readers
la, £1074 —“F*+5rt6
Ckairman
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


A convenient and well applicable visualization for comparing groups with respect to a metric variable is the boxplot. However, often, comparing means is accompanied by t-tests, ANOVAs, and friends. Such tests test the mean, not the median, and hence the boxplot is presenting the tested statistic. It would be better to align test and diagram. How can that be achieved using ggplot2
? This posts demonstrates some possibilities.
First, let’s plot a boxplot.
Don’t forget to load the usual culprits.
library(tidyverse)
mtcars %>%
ggplot +
aes(x = factor(cyl), y = hp) +
geom_boxplot() -> p1
p1
Way one: Let ggplot compute the summary statistic
Now, let’s say we would like to add the mean for each group of cyl
to the diagram. ggplot2
provides a function that will calculate summary statistics, such as the mean, for us: stat_summary
. Let’s add this “layer” to the diagram:
p1 +
stat_summary(fun.y = "mean", geom = "point", size = 5, color = "red", shape = 15)
In addition to these two geoms (boxplot and ret dot for the mean), or as a replacement of one of these geoms, we may want to plot the raw data:
p1 +
stat_summary(fun.y = "mean", geom = "point", size = 5, color = "red", shape = 15) +
geom_jitter(color = "grey", width = .1)
Way 2: Compute the summary statistic manually
One simple way to compute a summary statistic is this:
1. Take mtcars.
2. Group this dataframe by column "cyl".
3. Summarise the column "hp" by using the "mean" function (applies to each group as defined in step 2).
4. Save the result as a new dataframe.
The dplyr
(tidyverse) code is a quite literal translation of this pseudo-syntax:
mtcars %>%
group_by(cyl) %>%
summarise(hp = mean(hp)) -> mtcars2
mtcars2
#> # A tibble: 3 x 2
#> cyl hp
#> <dbl> <dbl>
#> 1 4 82.63636
#> 2 6 122.28571
#> 3 8 209.21429
Now we can add a layer of points using this new dataframe (mtcars2
):
mtcars %>%
ggplot +
aes(x = factor(cyl), y = hp) +
geom_boxplot() +
geom_point(data = mtcars2, color = "red", shape = 15, size = 5)
Debrief
One may say, just don’t run a t-test, do a Wilcoxon, and everything is fine. Agreed. Some say that the t-test has more power than the Wilcoxon, but I personally don’t think that is much of an issue. However, my goal is not to judge about which test “is better”, but just to show some ways of plotting raw (detail) data alongside with a summary statistic.


Hawaii LFO calculator
Violation:
Section286_102
Section286_122
Section286_130
Section286_131
Section286_132
Section286_133
Section286_134
Other_83_135
Date of infraction:
Defendant age:
add prior offense


| Overview | Module | Use | Devguide | Index |
| uses of interface XConnection |
back to interface XConnection |
| Services which Support this Interface |
| ::com::sun::star::sdb::Connection Connection ::com::sun::star::sdb::DatabaseAccessConnection |
| Uses as Parameter |
| ::com::sun::star::chart2::data::DatabaseDataProvider::createWithConnection() ::com::sun::star::sdbcx::XDataDefinitionSupplier::getDataDefinitionByConnection() |
| Uses as Data Type |
| ::com::sun::star::sdb::ColumnDescriptorControlModel::ActiveConnection ::com::sun::star::sdb::DataAccessDescriptor::ActiveConnection ::com::sun::star::sdb::RowSet::ActiveConnection ::com::sun::star::text::MailMerge::ActiveConnection ::com::sun::star::sdb::ParametersRequest::Connection |
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


---
layout: post
title: 6/17
date: '2013-06-17T22:06:00.002-06:00'
author: Jacob .
tags:
modified_time: '2013-06-17T22:06:38.100-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-8241673050999432795
blogger_orig_url: http://www.svlark.com/2013/06/617.html
---
Audrey and April did a couple pages of Spelling Workout A today and Audrey and I did Lessons 2.7 and 2.8 in our Singapore Math book A. Lorelei is getting pretty good with some colors and is getting lots of repetitions with letter names and sounds. She really wants to read like her sister so we tried again with her with TYCTR yesterday, but she's just not quite ready for that yet. Soon, though...
Thanks for the nice blog comments, Mom.


You can systematically record partial payments made by your clients by creating payment vouchers. You can also adjust a payment against multiple invoices.
Cannot be empty


mirmon - monitor the state of mirrors
mirmon [-v] [-q] [-t timeout] [-c conf] [-get all|update|url url]
Be verbose ; mirmon normally only reports errors and changes in the mirror list.
Be quiet.
Set the timeout ; the default is 300.
With all, probe all sites.
With update, probe a selection of the sites ; see option max_poll
below.
With url, probe only the given url, which must appear in the mirror-list.
Use config file name. The default list is
./mirmon.conf $HOME/.mirmon.conf /etc/mirmon.conf
The program is intended to be run by cron every hour.
42 * * * * perl /path/to/mirmon -get update
It quietly probes a subset of the sites in a given list, writes the results in the 'state' file and generates a web page with the results. The subset contains the sites that are new, bad and/or not probed for a specified time.
When no 'get' option is specified, the program just generates a new web page from the last known state.
The program checks the mirrors by running a (user specified) program on a pipe. A (user specified) number of probes is run in parallel using nonblocking IO. When something can be read from the pipe, it switches the pipe to blocking IO and reads one line from the pipe. Then it flushes and closes the pipe.
The probe should return something that looks like
1043625600 ...
that is, a line of text starting with a timestamp. The exit status of the probe is ignored.
A config file can be specified with the -c option. If -c is not used, the program looks for a config file in
A config file looks like this :
+-------------------------------------------------- |# lines that start with '#' are comment |# blank lines are ignored too |# tabs are replaced by a space | |# the config entries are 'key' and 'value' pairs |# a 'key' begins in column 1 |# the 'value' is the rest of the line |somekey A_val B_val ... |otherkey X_val Y_val ... | |# indented lines are glued |# the next three lines mean 'somekey part1 part2 part3' |somekey part1 | part2 | part3 | |# lines starting with a '+' are concatenated |# the next three lines mean 'somekey part1part2part3' |somekey part1 |+ part2 |+ part3 | |# lines starting with a '.' are glued too |# don't use a '.' on a line by itself |# 'somekey' gets the value "part1\n part2\n part3" |somekey part1 |. part2 |. part3 +--------------------------------------------------
Specify a short plaintext name for the project.
project_name Apache project_name CTAN
Specify an url pointing to the 'home' of the project.
project_url http://www.apache.org/
Specify the file containing the mirrors to probe.
mirror_list /path/to/mirror-list
If your mirror list is generated by a program, use
mirror_list /path/to/program arg1 ... |
Two formats are supported :
us http://www.tux.org/ [email] ... nl http://apache.cs.uu.nl/dist/ [email] ... nl rsync://archive.cs.uu.nl/apache-dist/ [email] ...
ftp us ftp://ftp.tux.org/pub/net/apache/dist/<EMAIL_ADDRESS>... http nl http://apache.cs.uu.nl/dist/<EMAIL_ADDRESS>...
Note that in style 'plain' the third item is reserved for an optional email address : the site's contact address.
Specify the required format with option list_style
(see below).
The default style is 'plain'.
Specify where the html report page is written.
Specify the directory where the icons can be found, relative to the web_page, or relative to the DOCUMENTROOT of the web server.
If/when the web_page lives in directory .../mirmon/
and
the icons live in directory .../mirmon/icons/
,
specify
icons icons
If/when the icons live in /path/to/DOCUMENTROOT/icons/mirmon/
, specify
icons /icons/mirmon
Specify the program+args to probe the mirrors. Example:
probe /usr/bin/wget -q -O - -T %TIMEOUT% -t 1 %URL%TIME.txt
Before the program is started, %TIMEOUT% and %URL% are substituted with the proper timeout and url values.
Here it is assumed that each hour the root server writes a timestamp in /path/to/archive/TIME.txt, for instance with a crontab entry like
42 * * * * perl -e 'print time, "\n"' > /path/to/archive/TIME.txt
Mirmon reads one line of output from the probe and interprets the first word on that line as a timestamp ; for example :
1043625600<PHONE_NUMBER> Mon Jan 27 00:00:00 2003<PHONE_NUMBER> www.apache.org Mon Jan 27 00:00:00 2003
Mirmon is distributed with a program probe
that handles
ftp, http and rsync urls.
Specify where the file containing the state is written.
The program reads this file on startup and writes the file when mirrors are probed (-get is specified).
Specify the file containing the country codes; The file should contain lines like
us - United States nl - Netherlands
The mirmon package contains a recent ISO list.
Fake domains like Backup, Master are allowed, and are listed first in the report ; lowercase-first fake domains (like backup) are listed last.
Optionally specify the number of parallel probes (default 25).
Optionally specify the timeout for the probes (default 300).
After the last probe is started, the program waits for <timeout> + 10 seconds, cleans up and exits.
Optionally specify (the SRC of the IMG of) a logo to be placed top right on the page.
project_logo /icons/apache.gif project_logo http://www.apache.org/icons/...
Optionally specify some HTML to be placed before .
htm_head <link REL=StyleSheet HREF="/style.css" TYPE="text/css">
Optionally specify some HTML to be placed near the top of the page.
htm_top testing 1, 2, 3
Optionally specify HTML to be placed near the bottom of the page.
htm_foot

Optionally specify where the age histogram must be placed. The default is 'top'.
For 'min_poll' see next item. A time-spec is a number followed by a unit 's' (seconds), or 'm' (minutes), or 'h' (hours), or 'd' (days). For example '3d' (three days) or '36h' (36 hours).
Optionally specify the maximum probe interval. When the program is called with option '-get update', all sites are probed which are :
the site appears in the list, but there is no known state
the last probe of the site was unsuccessful
the last probe was more than 'max_poll' ago.
Sites are not probed if the last probe was less than 'min_poll' ago. So, if you specify
min_poll 4h max_poll 12h
the 'reachable' sites are probed twice daily and the 'unreachable' sites are probed at most six times a day.
The default 'min_poll' is '1h' (1 hour). The default 'max_poll' is '4h' (4 hours).
Optionally specify how often the mirrors are required to make an update.
The default 'min_sync' is '1d' (1 day).
Optionally specify the maximum allowable sync interval.
Sites exceeding the limit will be considered 'old'. The default 'max_sync' is '2d' (2 days).
Optionally specify a list of regions that must be probed always.
always_get Master Tier1
This is intended for fake regions like Master etc.
Mirmon tries to balance the probe load over the hourly mirmon runs. If the current run has a below average number of mirrors to probe, mirmon probes a few extra, randomly chosen mirrors, picked from the runs that have the highest load.
If you don't want this behaviour, use no_randomize.
If the url part of a line in the mirror_list doesn't end in a slash ('/'), mirmon adds a slash and issues a warning unless it is in quiet mode.
If you don't want this behaviour, use no_add_slash.
Optionally specify the format ('plain' or 'apache') of the mirror-list.
See the description of 'mirror_list' above. The default list_style is 'plain'.
Optionally specify a substitute url for a site.
When access to a site is restricted (in Australia, for instance), another (sometimes secret) url can be used to probe the site. The <site> of an url is the part between '://' and the first '/'.
Optionally specify an environment variable.
Optionally specify a file to include.
The specified file is processed 'in situ'. After the specified file is
read and processed, config processing is resumed in the file where the
include
was encountered.
The include depth is unlimited. However, it is a fatal error to
include a file twice under the same name.
When the config processor encounters the 'show' command, it
dumps the content of the current config to standout, if option
-v
is specified. This is intented for debugging.
When the config processor encounters the 'exit' command, it terminates the program. This is intented for debugging.
The state file consists of lines; one line per site. Each line consists of white space separated fields. The seven fields are :
The url as given in the mirror list.
The mirror's timestamp found by the last successful probe, or 'undef' if no probe was ever successful.
The status of the last probe, or 'undef' if the mirror was never probed.
The timestamp of the last successful probe or 'undef' if the mirror was never successfully probed.
The probe history is a list of 's' (for success) and 'f' (for failure) characters indicating the result of the probe. New results are appended whenever the mirror is probed.
The state history consists of a timestamp, a '-' char, and a list of chars indicating a past status: 's' (fresh), 'b' (oldish), 'f' (old), 'z' (bad) or 'x' (skip). The timestamp indicates when the state history was last updated. The current status of the mirror is determined by the mirror's age and a few configuration parameters (min_sync, max_sync, max_poll). The state history is updated when the mirror is probed. If the last update of the history was less than 24 hours ago, the last status is replaced by the current status. If the last update of the history was more than 24 hours ago, the current status is appended to the history. One or more 'skip's is inserted, if the timestamp is two or more days old (when mirmon hasn't run for more than two days).
The timestamp of the last probe, or 'undef' if the mirror was never probed.
https://svn.science.uu.nl/repos/project.mirmon/trunk/
http://www.staff.science.uu.nl/~penni101/mirmon/mirmon.tar.gz
To install and configure mirmon, take the following steps :
cd DOCUMENTROOT mkdir mirmon
For DOCUMENTROOT, substitute the full pathname of the document root of your webserver.
cd /usr/local/src svn checkout REPO mirmon
where
REPO = https://svn.science.uu.nl/repos/project.mirmon/trunk/
or download the package and unpack it.
cd mirmon
touch state.txt
mkdir DOCUMENTROOT/mirmon/icons cp icons/* DOCUMENTROOT/mirmon/icons
mirror_list
;
Use your favorite editor, or genererate the list from an existing database.
nl http://archive.cs.uu.nl/your-project/<EMAIL_ADDRESS>uk http://mirrors.this.org/your-project/<EMAIL_ADDRESS>us http://mirrors.that.org/your-project/<EMAIL_ADDRESS>The email addresses are optional.
mirmon.conf
with your favorite editor.
# lines must start in the first column ; no leading white space project_name .... project_url .... mirror_list mirror_list state state.txt countries countries.list web_page DOCUMENTROOT/mirmon/index.html icons /mirmon/icons probe /usr/bin/wget -q -O - -T %TIMEOUT% -t 1 %URL%TIME.txt
This assumes the project's timestamp is in file TIME.txt
.
probe perl /usr/local/src/mirmon/probe -t %TIMEOUT% %URL%TIME.txt
perl mirmon -v -get all
The mirmon report should now be in 'DOCUMENTROOT/mirmon/index.html'
http://www.your.project.org/mirmon/
cd /usr/local/src/mirmon svn status -u svn up
© 2003-2016
Henk P. Penning,
Faculty of Science,
Utrecht University
mirmon-2.11 - Sat Jul 23 09:12:31 2016 ; henkp ;
verify html


Lioranboard can connect to any app or service that has public API or websocket access.
It is done via custom made extensions.
All available and approved extensions are listed in the #Releases channel in our Discord server.
If none of them suits your needs, feel free ask in the #Suggestions channel or request a commission!


/****************************************************************************
**
** Copyright (C) 2016 The Qt Company Ltd.
** Contact: https://www.qt.io/licensing/
**
** This file is part of the QtGui module of the Qt Toolkit.
**
** $QT_BEGIN_LICENSE:LGPL$
** Commercial License Usage
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** accordance with the commercial license agreement provided with the
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** a written agreement between you and The Qt Company. For licensing terms
** and conditions see https://www.qt.io/terms-conditions. For further
** information use the contact form at https://www.qt.io/contact-us.
**
** GNU Lesser General Public License Usage
** Alternatively, this file may be used under the terms of the GNU Lesser
** General Public License version 3 as published by the Free Software
** Foundation and appearing in the file LICENSE.LGPL3 included in the
** packaging of this file. Please review the following information to
** ensure the GNU Lesser General Public License version 3 requirements
** will be met: https://www.gnu.org/licenses/lgpl-3.0.html.
**
** GNU General Public License Usage
** Alternatively, this file may be used under the terms of the GNU
** General Public License version 2.0 or (at your option) the GNU General
** Public license version 3 or any later version approved by the KDE Free
** Qt Foundation. The licenses are as published by the Free Software
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** included in the packaging of this file. Please review the following
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** be met: https://www.gnu.org/licenses/gpl-2.0.html and
** https://www.gnu.org/licenses/gpl-3.0.html.
**
** $QT_END_LICENSE$
**
****************************************************************************/
#ifndef QTEXTTABLE_H
#define QTEXTTABLE_H
#include <QtGui/qtguiglobal.h>
#include <QtCore/qobject.h>
#include <QtGui/qtextobject.h>
QT_BEGIN_NAMESPACE
class QTextCursor;
class QTextTable;
class QTextTablePrivate;
class Q_GUI_EXPORT QTextTableCell
{
public:
QTextTableCell() : table(nullptr) {}
~QTextTableCell() {}
QTextTableCell(const QTextTableCell &o) : table(o.table), fragment(o.fragment) {}
QTextTableCell &operator=(const QTextTableCell &o)
{ table = o.table; fragment = o.fragment; return *this; }
void setFormat(const QTextCharFormat &format);
QTextCharFormat format() const;
int row() const;
int column() const;
int rowSpan() const;
int columnSpan() const;
inline bool isValid() const { return table != nullptr; }
QTextCursor firstCursorPosition() const;
QTextCursor lastCursorPosition() const;
int firstPosition() const;
int lastPosition() const;
inline bool operator==(const QTextTableCell &other) const
{ return table == other.table && fragment == other.fragment; }
inline bool operator!=(const QTextTableCell &other) const
{ return !operator==(other); }
QTextFrame::iterator begin() const;
QTextFrame::iterator end() const;
int tableCellFormatIndex() const;
private:
friend class QTextTable;
QTextTableCell(const QTextTable *t, int f)
: table(t), fragment(f) {}
const QTextTable *table;
int fragment;
};
class Q_GUI_EXPORT QTextTable : public QTextFrame
{
Q_OBJECT
public:
explicit QTextTable(QTextDocument *doc);
~QTextTable();
void resize(int rows, int cols);
void insertRows(int pos, int num);
void insertColumns(int pos, int num);
void appendRows(int count);
void appendColumns(int count);
void removeRows(int pos, int num);
void removeColumns(int pos, int num);
void mergeCells(int row, int col, int numRows, int numCols);
void mergeCells(const QTextCursor &cursor);
void splitCell(int row, int col, int numRows, int numCols);
int rows() const;
int columns() const;
QTextTableCell cellAt(int row, int col) const;
QTextTableCell cellAt(int position) const;
QTextTableCell cellAt(const QTextCursor &c) const;
QTextCursor rowStart(const QTextCursor &c) const;
QTextCursor rowEnd(const QTextCursor &c) const;
void setFormat(const QTextTableFormat &format);
QTextTableFormat format() const { return QTextObject::format().toTableFormat(); }
private:
Q_DISABLE_COPY(QTextTable)
Q_DECLARE_PRIVATE(QTextTable)
friend class QTextTableCell;
};
QT_END_NAMESPACE
#endif // QTEXTTABLE_H
↑ V730 Not all members of a class are initialized inside the constructor. Consider inspecting: fragment.


§322-34 Payment presumed when. All such liens shall be presumed to have been satisfied at the expiration of six years from the date of record. [L 1896, c 61, §10; am L 1915, c 149, §2; RL 1925, §988; RL 1935, §1338; RL 1945, §2729; RL 1955, §47-33; HRS §322-34]


--- layout: feedback title: akhil - 2014-08-20 01:33:19 date: 2014-08-20 01:33:19.000000000 -05:00 type: feedback published: true status: publish categories: [] tags: [] meta: _feedback_extra_fields: a:0:{} _feedback_email: "a:2:{s:2:\"to\";a:1:{i:0;s:21:\"broberts_az@yahoo.com\";}s:7:\"message\";s:611:\"Name: akhil\nEmail<EMAIL_ADDRESS>http://www.cheatchits.com/\nComment: Hi Bob,\r\n\r\n Thank you for reblogging my post at http://akhilkr.wordpress.com. And Im sorry to tell you that I have closed that blog and created a new one in my own new server. If you can please edit your reblogging post so that people will not be redirected to wrong page. And I have same post at http://www.cheatchits.com/amazon-ses-ruby-on-rails/.\r\n\r\n\r\nThank you\r\nAkhil\n\nTime: August 20, 2014 at 1:33 am\nIP Address: <IP_ADDRESS>\nContact Form URL: http://bob-roberts.net/contact/\nSent by an unverified visitor to your site.\";}" author: ---
Hi Bob,
Thank you for reblogging my post at http://akhilkr.wordpress.com. And Im sorry to tell you that I have closed that blog and created a new one in my own new server. If you can please edit your reblogging post so that people will not be redirected to wrong page. And I have same post at http://www.cheatchits.com/amazon-ses-ruby-on-rails/.
Thank you
Akhil
AUTHOR: akhil
AUTHOR EMAIL<EMAIL_ADDRESS>AUTHOR URL: http://www.cheatchits.com/
SUBJECT: Email from Blog
IP: <IP_ADDRESS>
Array
(
[Name] => akhil
[Email] =><EMAIL_ADDRESS>[Website] => http://www.cheatchits.com/
[Comment] => Hi Bob,
Thank you for reblogging my post at http://akhilkr.wordpress.com. And Im sorry to tell you that I have closed that blog and created a new one in my own new server. If you can please edit your reblogging post so that people will not be redirected to wrong page. And I have same post at http://www.cheatchits.com/amazon-ses-ruby-on-rails/.
Thank you
Akhil
)


1.What is the other name for Javascript?
2.What are the full names of (BDD)?:
3.Which of the following is not a method.
4.Which of the following is not a programming language.


TED is a non-profit organization devoted to Ideas Worth Spreading. It started out in 1984 as a conference bringing together people from three worlds- Technology, Entertainment and Design.
Since then its scope has become ever broader. Along with two annual conferences - the TED Conference in Long Beach and Palm Springs each spring, and the TED Global Conference in Edinburgh UK each summer.
TED includes the award-winning TED Talks video site, the Open Translation Project and TED Conversations, the inspiring TED Fellows and TEDx programs, and the annual TED Prize.
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
Visionary, Perpetually striving for Excellence, that's how Bharati Vidyapeeth's College of Engineering can be defined. A leader among it's peers, it's among the finest colleges of Indraprastha University.
Human Brain is like the Earth, composed, grounded and pragmatic, and our hearts- vast and free flowing like the sky. We let these two components meet to create a HORIZON. This is where ideas originating from our brain and feelings from our hearts appear to meet and revolutionise the sense of existence. We, at TEDxBVCOE, intend to suffuse these ideas to each and every cell that builds you, instil your blood with power of innovation so that one can be the change one wants to instigate in the society. We welcome each and every one who would like to be a part of advanced, original and unorthodox talks by the prominent speakers, talks that would surely turn out to trigger the contact between your brain and heart.


This is a useless password generator!
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A GRADUATE STUDENT IN EE, GWU
SEEkING FOR FULL-TIME POSITIONS IN SOFTWARE ENGINEER
Hi, my name is Xiao Luo. I graduated from George Washington University on 05/2017 with a MS degree in Electrical Engineering.
I has a great understanding in algorithms and problem solving in general. During graduate study, I built a movie recommend system with Hadoop on docker, and I also had industrial experience as a software engineer intern working on Java and MySQL projects. I am always willing to study, communicate and learn new knowledge. To make up for the lack of major, I learned new knowledge from online courses. I developed an impressive Picture Shard Website while learning Javascipt. I am a quick learning, capable, and talented software programmer.
I am seeking for FULL-TIME positions starting on Dec 2017 in SOFTWARE ENGINEER. Take some time to look at my work and if you would like to discuss further, let's get in touch.


What will my landing page look like?
What does each form field do?
Glad you asked! I am a man of few words, so there are two images below to explain:
An example of the landing page made using the Pardot Brand
What part of the landing page is affected by which form fields


{% extends 'base.html' %} {% block content %} {% block page_title %} Do Life Yourself - Password Reset {% endblock %}
Choose your new password.
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We were unable to change your password,
this may be because the password has already been used.
Please try again, and request a new password reset link.


Megan Boler, [ed. with special focus on contributed paper by] Ricardo Rosas [concerning the Gambiarra]
Although more media-centric as a volume, the one paper on Gambiarra is very relevant to the notion of bricolage.
Gambiarra
"The Gambiarra: Considerations on a Recombinatory Technology"
"gambiarra also means something far more akin to the English term makeshift, referring to any improvisation of an expedient substitute when other means fail or are not available. In other words, 'making do.'"
"The gambiarra also comes very close to the concept of bricolage formulated by Claude Lévi-Strauss in The Savage Mind. Considering the bricoleur as “he who works with his hands, but using indirect means, if compared with the artist,” 4 his materials are not definable in terms of a project, like those of the engineer, but merely by their instrumentality as items collected and stored because they “might come in handy.” The bricoleur creates in the absence of a preconceived plan, removed from all standard technical processes and norms, using only fragmentary, readymade materials; and his creations always come to a new arrangement of elements the natures of which are only modified by the manner in which they feature in the instrumental assemblage or the final structure. The distinction Lévi-Strauss draws between the bricoleur and the engineer is essential to understanding the gambiarra, this freewheeling creation that goes beyond user manuals and projectual restrictions, being essentially a practice of bricolage."


Last updated: 2020-03-23
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The 5k pbmc scRNAseq dataset was downloaded from 10x website and made into a Seruat
object. The labels of 5k data were transferred using Seurat from 10k data following https://crazyhottommy.github.io/scRNA-seq-workshop-Fall-2019/scRNAseq_workshop_2.html
We next run our snakemake pipeline and visualize the results in our R package for the 5k PBMC dataset retrieved from 10x genomics website. We tested combinations of 8 different k.param(8,10,15,20,30,50,80,100), 5 different resolutions (0.5,0.6,0.8,1,1.2) and 5 different number of PCs (10,15,20,30,35) resulting 200 different parameter sets.
To follow the analysis, you can download the data at osf.io
library(scclusteval)
library(tidyverse)
library(patchwork)
library(Seurat)
library(dplyr)
# read in the seurat object
# the label transferring was done following
pbmc<- readRDS("data/pbmc_5k_v3_label_transfered_from_10k.rds")
subsample_idents<- readRDS("data/pbmc/gather_subsample.rds")
fullsample_idents<- readRDS("data/pbmc/gather_full_sample.rds")
## how many PCs to include
ElbowPlot(pbmc, ndims = 40)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
# a tibble with a list column
fullsample_idents
# A tibble: 200 x 4
pc resolution k_param original_ident_full
<chr> <chr> <chr> <list>
1 10 0.5 8 <fct [4,595]>
2 15 0.5 8 <fct [4,595]>
3 20 0.5 8 <fct [4,595]>
4 30 0.5 8 <fct [4,595]>
5 35 0.5 8 <fct [4,595]>
6 10 0.6 8 <fct [4,595]>
7 15 0.6 8 <fct [4,595]>
8 20 0.6 8 <fct [4,595]>
9 30 0.6 8 <fct [4,595]>
10 35 0.6 8 <fct [4,595]>
# … with 190 more rows
## how many clusters for each different comibination of parameter set?
fullsample_idents %>%
mutate(cluster_num = purrr::map_dbl(original_ident_full, ~length(unique(.x))))
# A tibble: 200 x 5
pc resolution k_param original_ident_full cluster_num
<chr> <chr> <chr> <list> <dbl>
1 10 0.5 8 <fct [4,595]> 13
2 15 0.5 8 <fct [4,595]> 15
3 20 0.5 8 <fct [4,595]> 16
4 30 0.5 8 <fct [4,595]> 14
5 35 0.5 8 <fct [4,595]> 14
6 10 0.6 8 <fct [4,595]> 17
7 15 0.6 8 <fct [4,595]> 17
8 20 0.6 8 <fct [4,595]> 16
9 30 0.6 8 <fct [4,595]> 15
10 35 0.6 8 <fct [4,595]> 14
# … with 190 more rows
# what's the relationship of clusters between k_param 8, 20 and 30 with same pc=20 and resolution = 0.6
fullsample_idents %>% mutate(id = row_number()) %>%
filter(pc == 20, resolution == 0.6, k_param == 8)
# A tibble: 1 x 5
pc resolution k_param original_ident_full id
<chr> <chr> <chr> <list> <int>
1 20 0.6 8 <fct [4,595]> 8
fullsample_idents %>% mutate(id = row_number()) %>%
filter(pc == 20, resolution == 0.6, k_param == 20)
# A tibble: 1 x 5
pc resolution k_param original_ident_full id
<chr> <chr> <chr> <list> <int>
1 20 0.6 20 <fct [4,595]> 83
fullsample_idents %>% mutate(id = row_number()) %>%
filter(pc == 20, resolution == 0.6, k_param == 100)
# A tibble: 1 x 5
pc resolution k_param original_ident_full id
<chr> <chr> <chr> <list> <int>
1 20 0.6 100 <fct [4,595]> 183
## x-axis is k_param = 20, and y-axis is k_param = 8
PairWiseJaccardSetsHeatmap(fullsample_idents$original_ident_full[[8]],
fullsample_idents$original_ident_full[[83]],
show_row_dend = F, show_column_dend = F,
cluster_row = F, cluster_column =F)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
## x-axis is k_param = 100, and y-axis is k_param = 8
PairWiseJaccardSetsHeatmap(fullsample_idents$original_ident_full[[8]],
fullsample_idents$original_ident_full[[183]],
show_row_dend = F, show_column_dend = F,
cluster_row = F, cluster_column =F)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
The k.param in the k-nearest neighbor algorithm after which a SNN graph is constructed. This parameter determines the resolution of the clustering where a bigger k yields a more interconnected graph and bigger clusters. We see if we increase the k param to 100, we get fewer number of total number of clusters.
Let’s check how the clusters are splitting when we increase the k.param.
Note for 5k pbmc dataset, I used SCTransform()
in the Snakemake workflow. It generates more clusters than the previous NormalizeData(), ScaleData(), and FindVariableFeatures() workflow.
k8_ident<- fullsample_idents %>%
filter(pc == 20, resolution == 0.6, k_param == 8) %>%
pull(original_ident_full) %>%
`[[`(1)
pbmc<- AddMetaData(pbmc, metadata = k8_ident, col.name = "res0.6_k8")
k20_ident<- fullsample_idents %>%
filter(pc == 20, resolution == 0.6, k_param == 20) %>%
pull(original_ident_full) %>%
`[[`(1)
pbmc<- AddMetaData(pbmc, metadata = k20_ident, col.name = "res0.6_k20")
k100_ident<- fullsample_idents %>%
filter(pc == 20, resolution == 0.6, k_param == 100) %>%
pull(original_ident_full) %>%
`[[`(1)
pbmc<- AddMetaData(pbmc, metadata = k100_ident, col.name = "res0.6_k100")
p1<- DimPlot(pbmc, reduction = "umap", label = TRUE, group.by = "res0.6_k8", repel = TRUE) + ggtitle("k_param 8") + NoLegend()
p2<- DimPlot(pbmc, reduction = "umap", label = TRUE, group.by = "res0.6_k20", repel = TRUE) + ggtitle("k_param 20") + NoLegend()
p3<- DimPlot(pbmc, reduction = "umap", label = TRUE, group.by = "res0.6_k100", repel = TRUE) + ggtitle("k_param 100") + NoLegend()
p4<- DimPlot(pbmc, reduction = "umap", group.by = "predicted.id", repel = TRUE, label = TRUE) + NoLegend()
p1
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
p2
p3
p4
# k = 8
<EMAIL_ADDRESS>nm=colnames(pbmc)),
<EMAIL_ADDRESS>nm=colnames(pbmc)),
show_row_dend = F, show_column_dend = F,
cluster_row = F, cluster_column =F)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
## we can check agains the transferred labels. k =20
<EMAIL_ADDRESS>nm=colnames(pbmc)),
<EMAIL_ADDRESS>nm=colnames(pbmc)),
show_row_dend = F, show_column_dend = F,
cluster_row = F, cluster_column =F)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
<EMAIL_ADDRESS>nm=colnames(pbmc)),
<EMAIL_ADDRESS>nm=colnames(pbmc)),
show_row_dend = F, show_column_dend = F,
cluster_row = F, cluster_column =F)
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
Note that, the transferred cell type from 10k pbmc data to our 5k data may not necessary be the true labels. Nevetherless, when the k_param is big (100), many cell types are merged together.
## change idents to cluster id when k is 8
Idents(pbmc)<-<EMAIL_ADDRESS>silhouette_scores<- CalculateSilhouette(pbmc, dims = 1:20)
sil_p1<- SilhouetteRainCloudPlot(silhouette_scores) + ggtitle("k_param 8")
## check silhouette score when k is 20
Idents(pbmc)<-<EMAIL_ADDRESS>silhouette_scores<- CalculateSilhouette(pbmc, dims = 1:20)
sil_p2<- SilhouetteRainCloudPlot(silhouette_scores) + ggtitle("k_param 20")
sil_p1 / sil_p2
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
cluster 6 (when k_param is 8) split into cluster7,12 when k_param is 20 from the jaccard heatmap above.
The silhouette width for cluster7,12 is lower than cluster 6 suggesting that k_param=8 is a better option.
subsample_idents_list<- subsample_idents %>%
group_by(pc, resolution, k_param) %>%
nest()
subsample_idents_list %>% ungroup() %>% mutate(id = row_number()) %>%
filter(pc == 20, resolution == 0.6, k_param == 8)
# A tibble: 1 x 5
pc resolution k_param data id
<chr> <chr> <chr> <list> <int>
1 20 0.6 8 <tibble [100 × 3]> 8
subsample_idents_list %>% ungroup() %>% mutate(id = row_number()) %>%
filter(pc == 20, resolution == 0.6, k_param == 20)
# A tibble: 1 x 5
pc resolution k_param data id
<chr> <chr> <chr> <list> <int>
1 20 0.6 20 <tibble [100 × 3]> 83
## subsample for 100 times(rounds)
subsample_idents_list$data[[8]]
# A tibble: 100 x 3
original_ident recluster_ident round
<list> <list> <chr>
1 <fct [3,676]> <fct [3,676]> 0
2 <fct [3,676]> <fct [3,676]> 1
3 <fct [3,676]> <fct [3,676]> 2
4 <fct [3,676]> <fct [3,676]> 3
5 <fct [3,676]> <fct [3,676]> 4
6 <fct [3,676]> <fct [3,676]> 5
7 <fct [3,676]> <fct [3,676]> 6
8 <fct [3,676]> <fct [3,676]> 7
9 <fct [3,676]> <fct [3,676]> 8
10 <fct [3,676]> <fct [3,676]> 9
# … with 90 more rows
p1<- JaccardRainCloudPlot(subsample_idents_list$data[[8]]$original_ident,
subsample_idents_list$data[[8]]$recluster_ident) +
geom_hline(yintercept = c(0.6, 0.75), linetype = 2) +
xlab("cluster id w/ k=8 res=0.6 pc=20")
p2<- JaccardRainCloudPlot(subsample_idents_list$data[[83]]$original_ident,
subsample_idents_list$data[[83]]$recluster_ident) +
geom_hline(yintercept = c(0.6, 0.75), linetype = 2) +
xlab("cluster id w/ k=20 res=0.6 pc=20")
p1 / p2
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
From the Jaccard raincloud plot, cluster7 and cluster12 have very low jaccard index. This is consistent with the Silhouette widths.
As a rule of thumb, clusters with a mean/median stability score less than 0.6 should be considered unstable. scores between 0.6 and 0.75 indicate that the cluster is measuring a pattern in the data. clusters with stability score greater than 0.85 are highly stable (Zumel and Mount 2014). This task can be achieved using AssignStableCluster function in our R package. We observed for some datasets, the jaccard index follows a bimodal distribution, so the mean or median may not be representative. As an alternative, we also calculate the percentage of subsampling with a jaccard greater than a cutoff (e.g. 0.85), which can be used to check stability assessments.
## return a list
## ?AssignStableCluster
AssignStableCluster(subsample_idents_list$data[[55]]$original_ident,
subsample_idents_list$data[[55]]$recluster_ident,
jaccard_cutoff = 0.8,
method = "jaccard_percent",
percent_cutoff = 0.8)
$jaccardIndex
# A tibble: 100 x 17
`0` `1` `2` `3` `4` `5` `6` `7` `8` `9` `10` `11`
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 0.955 0.959 0.826 0.913 0.995 0.660 0.871 0.929 0.825 0.667 0.776 0.8
2 0.952 0.993 0.928 0.938 0.990 0.678 0.561 0.95 0.427 0.774 0.966 0.819
3 0.945 0.971 0.854 0.947 0.985 0.683 0.917 0.959 0.736 0.574 0.851 0.122
4 0.959 0.992 0.916 0.937 0.995 0.699 0.497 0.956 0.395 0.8 0.966 0.772
5 0.975 0.990 0.953 0.978 0.981 0.660 0.540 0.963 0.455 0.883 0.980 0.970
6 0.931 0.958 0.943 0.949 0.995 0.661 0.910 0.954 0.777 0.517 0.731 0.890
7 0.963 0.978 0.938 0.973 0.991 0.645 0.484 0.964 0.394 0.862 0.885 0.756
8 0.979 0.988 0.950 0.963 0.990 0.687 0.504 0.967 0.397 0.931 0.962 0.919
9 0.966 0.989 0.931 0.959 0.986 0.675 0.556 0.967 0.437 0.902 0.967 0.972
10 0.931 0.989 0.935 0.975 0.990 0.683 1 0.951 0.810 0.486 1 0.933
# … with 90 more rows, and 5 more variables: `12` <dbl>, `13` <dbl>,
# `14` <dbl>, `15` <dbl>, `16` <dbl>
$stable_cluster
0 1 2 3 4 5 6 7 8 9 10 11
TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE TRUE
12 13 14 15 16
FALSE FALSE FALSE TRUE FALSE
$number_of_stable_cluster
[1] 8
$stable_index
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1.00 1.00 1.00 1.00 1.00 0.08 0.43 1.00 0.24 0.36 0.78 0.84 0.08 0.33 0.40
15 16
1.00 0.31
# ?AssignStableCluster
## for all sets of parameters
stable_clusters<- subsample_idents_list %>%
mutate(stable_cluster = map(data, ~ AssignStableCluster(.x$original_ident,
.x$recluster_ident,
jaccard_cutoff = 0.8,
method = "jaccard_percent",
percent_cutoff = 0.8)))
with y axis representing the number of stable clusters and total number of clusters.
ParameterSetScatterPlot(stable_clusters = stable_clusters,
fullsample_idents = fullsample_idents,
x_var = "k_param",
y_var = "number",
facet_rows = "resolution",
facet_cols = "pc")
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
The ParameterSetScatterPlot
function will calculate the percentage of cells in stable clusters and plot a scatter/line plot.
ParameterSetScatterPlot(stable_clusters = stable_clusters,
fullsample_idents = fullsample_idents,
x_var = "k_param",
y_var = "percentage",
facet_rows = "resolution",
facet_cols = "pc") +
ggtitle("percentage of cells in stable clusters")
| Version | Author | Date |
|---|---|---|
| f13f221 | Ming Tang | 2020-03-23 |
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] patchwork_0.0.1 forcats_0.4.0 stringr_1.4.0
[4] dplyr_0.8.3 purrr_0.3.2 readr_1.3.1
[7] tidyr_1.0.0 tibble_2.1.3 ggplot2_3.1.0
[10] tidyverse_1.2.1 scclusteval_<IP_ADDRESS>00 Seurat_3.0.2
loaded via a namespace (and not attached):
[1] Rtsne_0.15 colorspace_1.4-1 rjson_0.2.20
[4] ellipsis_<IP_ADDRESS> ggridges_0.5.1 rprojroot_1.3-2
[7] circlize_0.4.7 GlobalOptions_0.1.0 fs_1.2.6
[10] clue_0.3-57 rstudioapi_0.10 listenv_0.7.0
[13] npsurv_0.4-0 ggrepel_0.8.0 fansi_0.4.0
[16] lubridate_1.7.4 xml2_1.2.0 codetools_0.2-16
[19] splines_3.5.1 R.methodsS3_1.7.1 lsei_1.2-0
[22] knitr_1.21 jsonlite_1.6 workflowr_1.4.0
[25] broom_0.5.2 ica_1.0-2 cluster_2.0.7-1
[28] png_0.1-7 R.oo_1.22.0 sctransform_0.2.0
[31] compiler_3.5.1 httr_1.4.0 backports_1.1.3
[34] assertthat_0.2.0 Matrix_1.2-15 lazyeval_0.2.1
[37] cli_1.0.1 htmltools_0.3.6 tools_3.5.1
[40] rsvd_1.0.0 igraph_1.2.2 gtable_0.2.0
[43] glue_1.3.1 RANN_2.6 reshape2_1.4.3
[46] Rcpp_1.0.2 cellranger_1.1.0 vctrs_0.2.3
[49] gdata_2.18.0 ape_5.2 nlme_3.1-137
[52] gbRd_0.4-11 lmtest_0.9-36 xfun_0.4
[55] globals_0.12.4 rvest_0.3.2 lifecycle_0.1.0
[58] irlba_2.3.2 gtools_3.8.1 future_1.10.0
[61] MASS_7.3-51.1 zoo_1.8-4 scales_1.0.0
[64] hms_0.5.3 parallel_3.5.1 RColorBrewer_1.1-2
[67] ComplexHeatmap_2.1.0 yaml_2.2.0 reticulate_1.10
[70] pbapply_1.3-4 gridExtra_2.3 stringi_1.2.4
[73] caTools_<IP_ADDRESS> bibtex_0.4.2 shape_1.4.4
[76] Rdpack_0.10-1 SDMTools_1.1-221 rlang_0.4.5
[79] pkgconfig_2.0.2 bitops_1.0-6 evaluate_0.12
[82] lattice_0.20-38 ROCR_1.0-7 labeling_0.3
[85] htmlwidgets_1.3 cowplot_0.9.3 tidyselect_0.2.5
[88] plyr_1.8.4 magrittr_1.5 R6_2.3.0
[91] gplots_3.0.1 generics_0.0.2 pillar_1.3.1
[94] haven_2.0.0 whisker_0.3-2 withr_2.1.2
[97] fitdistrplus_1.0-11 survival_2.43-3 future.apply_1.0.1
[100] tsne_0.1-3 modelr_0.1.2 crayon_1.3.4
[103] utf8_1.1.4 KernSmooth_2.23-15 plotly_4.8.0
[106] rmarkdown_1.11 GetoptLong_0.1.7 grid_3.5.1
[109] readxl_1.2.0 data.table_1.11.8 git2r_0.23.0
[112] metap_1.0 digest_0.6.18 R.utils_2.7.0
[115] munsell_0.5.0 viridisLite_0.3.0


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At Olin College of Engineering, students often spend a summer doing research with one or more faculty members. After my first year, I worked on a team of four (myself, two other first years, and a sophomore) and with three faculty members to develop a system to help blind sailors compete in match races, where two boats compete one-on-one.
Before our project, the standard for blind sailors competing in this type of race was the Homerus System. This was a purely sound-based system that relied on five separate sirens to help the sailors navigate the course. Naturally, this was overwhelming and unpleasant to work with. Our goal was to take the idea behind the Homerus System—allowing sailors to compete without a sighted guide—and update it to be a better interface.
This was the third summer of the project, and as such, we had partners who were members of the strong blind sailing community in the Boston area. We co-designed and tested alongside these partners to make sure we were creating something useful.
My research for this project was sponsored by the Clare Boothe Luce Fellowship, and as such, I worked on it over the course of the following year and presented at a conference the next summer.
We integrated GPS, a custom tack sensor, and a Raspberry Pi in order to create a system that could keep track of the course shape and the location of the other boat with enough accuracy to verbally inform the sailors of the location and tack of the other boat, as well as the information they needed to navigate the race. This system fit within a small, waterproof box (as displayed below), so that it could easily be customized for individual boats and set up without any extra specialized equipment. The two Raspberry Pis (one for each boat) communicated via an ad-hoc network connection. While it was still rough by the end of the summer, the core integration and technology was used as a base for on-going work. It is currently being reviewed by officials for use in international racing competitions.
I submitted a paper and presented my findings at the Oceans' 17/MTS/IEEE Aberdeen Conference in June, 2017.
My teammates and I split work evenly on this project, and often switched between tasks in order to learn the most we could. A few aspects that I took ownership of were the menu navigation (for which we used a keypad that could be strapped to a leg), the speech response, and network communication.
This project was written in Python. We used a Raspberry Pi's inputs to process data from the tack sensor and the GPS, and an ad-hoc network to communicate between Raspberry Pis.
This project allowed me to explore software more thoroughly, introduced me to adaptive technology and user-centered design, and strengthened my teaming skills, as our team was essentially seven members strong.


EzBtc.Api
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A .Net Standard client for the ezBtc cryptocurrency API.
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- Complete implementation of the ezBtc API.
- API results deserialized to concrete objects.
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Experienced Javascript Web Developer with a demonstrated history of working in the web development field. Skilled in HTML, CSS (Sass), JavaScript, Node, React, and jQuery. A strong work ethic and a willingness to continue my education to keep up with today's industry standards of web development.
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Leanne Sturman is cognitive neuroscience student with a minor in chemistry. She gives MRIs and can tell if you have a cisterna magnum, but has minimal coding experience. Why is she in this class?