yandex
Businessmodel of Yandex
Customer Segments
Yandex operates the most popular internet portal in Russia, where it serves more than 53 million users. The Company is also reported to controls 57% of the country’s internet search market, as of July 2015.
While Russia is by far Yandex’s largest, accounting for almost 90% of the web traffic driven through its homepage, it also serves customers in Ukraine, Belarus, Kazakhstan and Turkey.
The Company’s homepage, search engine and news portal serve general consumers and internet users, with more targeted portals serving a more distinct audience. This includes its AppMetrica analytics service, which caters to website owners and businesses, and its Yandex Realty portal, which serves those wishing to buy or sell property.
Yandex also provides advertising services to brand marketers and advertising agencies.
Value Propositions
Yandex’s main value to consumers is that its flagship search, email, news and video streaming services are available free of charge. The Company provides a range of products and services to customers, enabling them to integrate their accounts and preferences across multiple channels. Yandex is a market leader in its native Russia and has a reputation as a reliable and innovative service provider.
For advertisers, Yandex’s network portfolio of services and internet portals and large customer following provides significant opportunities to expand brand reach and advertising audiences.
Channels
Yandex platform can be accessed through the Company’s homepage at www.yandex.com, which links to separate portals for its various services.
The Company also provides a range of mobile apps, available on iOS and Android, covering its portfolio of services, including Yandex Browser, Yandex Mail, Yandex Navigator and Yandex Maps. The Company can also be contacted directly over the phone in relation to advertising enquiries.
Customer Relationships
Yandex’s services are predominantly self-service, requiring no interaction with Yandex representatives. Users are able to utilise many of Yandex’s services without registration – including its search engine, news portal and translation service – and can sign up for various other services via the Yandex homepage.
Advertisers and brand marketers, in contrast, must contact Yandex directly over the phone to discuss terms, receiving a more personalised and tailored service. Yandex provides support to its customers through help and technical assistance guides available through its individual service portals, and provides contact details for its offices on its main corporate website.
The Company also interacts with its customers through social media accounts, including with Facebook and Twitter.
Key Activities
Yandex is a multi-functional Russian internet and technology company, providing internet search, communication and digital content services to users. It operates the largest search engine in Russia, as well as online portals for email, news, finance, real estate, music, photo sharing, blogging, and video streaming, all of which are accessible through the Yandex homepage.
The Company also provides various search, display, video and audio advertising solutions across its online portfolio, which account for the majority of its annual revenue.
Key Partners
Yandex operates a network of search partners, advertising partners, development partners and analytics partners. The Company collaborates with a number of websites as part of its Yandex Advertising Network, through which it places contextual advertisements and media banners, with partners rewarded for driving traffic.
Yandex partners with various tech companies as part of its search service. The Company has collaborated with Facebook, ensuring that public content from the social media site is included in searches made through the Yandex engine, with Facebook proving the Company with access to its full firehose of data. Yandex has a similar arrangement with local Facebook clone Vkontakte. Additionally, Yandex has partnered with Mozilla Firefox to be the browser’s default search engine in Russia and provides information for searches made through the DuckDuckGo engine.
Yandex Data Factory, the Company’s machine learning and data analytics arm, partners with companies from a range of sectors. It has a partnership with Intel, for which it big data collection and analytics technology; a strategic alliance with pharmaceutical company AstraZeneca, working with scientific data; and a partnership with international consulting company Accenture, providing computing power to its research and development projects in Russia.
Key Resources
Yandex’s key resources are its technology and internet portals, its IT infrastructure, its personnel and its strategic partnerships. The Company has a number of patents filed with the US Patent and Trademark Office, through its Switzerland-based subsidiary Yandex Europe AG.
This includes applications entitled ‘Display screen or portion thereof with a graphical user interface showing an image search engine results page’, ‘Display screen with graphical user interface’ and ‘Method for displaying a position on a map’.
Cost Structure
Yandex incurs costs through the development of its web portals, the maintenance of its IT infrastructure, the retention of its personnel. Yandex also has a large marketing and advertising budget.
The Company employs a large, international workforce of more than 5,400 personnel, accruing significant costs relating salaries and benefits.
It also has a network of offices across Russia, Ukraine, Belarus, Turkey, Germany and Switzerland which generate rental and utility costs.
Revenue Streams
In 2015 Yandex recorded an annual revenue of RUB 59.8 billion (approximately $820.4 million). The Company’s principal revenue stream is advertising. Its advertising revenue in 2015 was RUB 58.2 billion, accounting for more than 97% of the Company’s total revenue for the year.
Yandex provides a range of advertising solutions, including search advertising on its Yandex Direct and Yandex Market portals, and display, audio and video advertising across its news, travel, finance, weather, jobs and realty pages. Advertising solutions are priced on a cost per impression or cost per thousand impressions basis, varying in price depending on the type and location of the advertisement, with search advertising costing 30 kopecks per impression and display advertising on the Yandex homepage priced at RUB 180 per thousand impressions.


/home/ahale/clangtidy_generator/clang_visualizer.c:6:1: warning: #includes are not sorted properly [llvm-include-order]
#include
^ ~~~~~~~~~
/home/ahale/clangtidy_generator/clang_visualizer.c:27:6: warning: function 'read_log' has a definition with different parameter names [readability-inconsistent-declaration-parameter-name]
void read_log(FILE *log, node_t *head, node_t **next, char line[]);
^ ~~~~~
log_line
/home/ahale/clangtidy_generator/clang_visualizer.c:1105:6: note: the definition seen here
void read_log(FILE *log, node_t *head, node_t **next, char log_line[])
^
/home/ahale/clangtidy_generator/clang_visualizer.c:27:6: note: differing parameters are named here: ('line'), in definition: ('log_line')
void read_log(FILE *log, node_t *head, node_t **next, char line[]);
^
/home/ahale/clangtidy_generator/clang_visualizer.c:1061:32: warning: use 'fopen' mode 'e' to set O_CLOEXEC [android-cloexec-fopen]
html = fopen("clangtidy.html","w");
^~~~
"we"
/home/ahale/clangtidy_generator/clang_visualizer.c:1062:23: warning: use 'fopen' mode 'e' to set O_CLOEXEC [android-cloexec-fopen]
log = fopen(argv[1], "r");
^~~~
"re"
/home/ahale/clangtidy_generator/clang_visualizer.c:1094:45: warning: statement should be inside braces [hicpp-braces-around-statements]
for (int idx=0; idx < used_checks_amt; idx++)
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1114:42: warning: statement should be inside braces [hicpp-braces-around-statements]
if (strstr(log_line,checks_list[idx]))
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1133:4: warning: Call to function 'strcpy' is insecure as it does not provide bounding of the memory buffer. Replace unbounded copy functions with analogous functions that support length arguments such as 'strlcpy'. CWE-119 [clang-analyzer-security.insecureAPI.strcpy]
strcpy(used_checks_list[new_checks_idx].name, checks_list[used_idx]);
^
/home/ahale/clangtidy_generator/clang_visualizer.c:1133:4: note: Call to function 'strcpy' is insecure as it does not provide bounding of the memory buffer. Replace unbounded copy functions with analogous functions that support length arguments such as 'strlcpy'. CWE-119
/home/ahale/clangtidy_generator/clang_visualizer.c:1145:31: warning: statement should be inside braces [readability-braces-around-statements]
if (used_checks_list == NULL)
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1155:25: warning: statement should be inside braces [readability-braces-around-statements]
if (check_details > 3)
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1231:53: warning: statement should be inside braces [google-readability-braces-around-statements]
for (struct node *ptr = head; ptr; ptr = ptr->next)
^
{
android-cloexec-fopen
/home/ahale/clangtidy_generator/clang_visualizer.c:1061:32: warning: use 'fopen' mode 'e' to set O_CLOEXEC [android-cloexec-fopen]
html = fopen("clangtidy.html","w");
^~~~
"we"
/home/ahale/clangtidy_generator/clang_visualizer.c:1062:23: warning: use 'fopen' mode 'e' to set O_CLOEXEC [android-cloexec-fopen]
log = fopen(argv[1], "r");
^~~~
"re"
clang-analyzer-security.insecureAPI.strcpy
/home/ahale/clangtidy_generator/clang_visualizer.c:1133:4: warning: Call to function 'strcpy' is insecure as it does not provide bounding of the memory buffer. Replace unbounded copy functions with analogous functions that support length arguments such as 'strlcpy'. CWE-119 [clang-analyzer-security.insecureAPI.strcpy]
strcpy(used_checks_list[new_checks_idx].name, checks_list[used_idx]);
^
/home/ahale/clangtidy_generator/clang_visualizer.c:1133:4: note: Call to function 'strcpy' is insecure as it does not provide bounding of the memory buffer. Replace unbounded copy functions with analogous functions that support length arguments such as 'strlcpy'. CWE-119
google-readability-braces-around-statements
/home/ahale/clangtidy_generator/clang_visualizer.c:1231:53: warning: statement should be inside braces [google-readability-braces-around-statements]
for (struct node *ptr = head; ptr; ptr = ptr->next)
^
{
hicpp-braces-around-statements
/home/ahale/clangtidy_generator/clang_visualizer.c:1094:45: warning: statement should be inside braces [hicpp-braces-around-statements]
for (int idx=0; idx < used_checks_amt; idx++)
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1114:42: warning: statement should be inside braces [hicpp-braces-around-statements]
if (strstr(log_line,checks_list[idx]))
^
{
llvm-include-order
/home/ahale/clangtidy_generator/clang_visualizer.c:6:1: warning: #includes are not sorted properly [llvm-include-order]
#include
^ ~~~~~~~~~
readability-braces-around-statements
/home/ahale/clangtidy_generator/clang_visualizer.c:1145:31: warning: statement should be inside braces [readability-braces-around-statements]
if (used_checks_list == NULL)
^
{
/home/ahale/clangtidy_generator/clang_visualizer.c:1155:25: warning: statement should be inside braces [readability-braces-around-statements]
if (check_details > 3)
^
{


Computer Science Interests
Research-wise, I'm interested in quantum computing and deep learning. For the former, I'm interested in current efforts to quantize existing machine learning algorithms. For the latter, click here.
Experience:
Software Developer Jan. 2021 → Feb. 2022
Leidos (Full-Time)
- Programmed in C++11 on a small team developing physics simulators in Linux. Used GNU Autotools, Conan, and RPMs for building, packaging, and delivering code respectively.
- Moved internal signal processing library from Python to C++11 with FFTW and Boost (Math, Unit Test).
- Fixed deadlocks and implemented features in distributed messaging brokers between a physics engine and end-user. Written in Java and C++14 with Google Protobuf and ZeroMQ.
Researcher May 2020 → Sep. 2021
University of Maryland, College Park (Part-Time)
- Investigated deep learning models for time-series under Professors Soheil Feizi and Hector Bravo (now of Genentech), and PhD student Aya Ismail.
- Trained neural networks (DeepAR, LSTMs, Transformers, TCNs) on university servers with SLURM, and presented results at meetings. Written in Python with PyTorch.
- Extended recent work providing provable guarantees on neural network convergence by exploring the data augmentation of time-series via spherical harmonics expansion.
Computer Skills:
Proficient: Java, C++17
Working Knowledge: C, Python, R, TypeScript, MATLAB
Technologies: git, PyTorch, Conan, Autotools, Boost, SQL, SLURM
Personal Projects:
PyTorch Implementation of DeepAR Jan. 2021
- Implemented Amazon Research’s DeepAR neural network in PyTorch using their 2020 paper.
- Trained this autoencoder for regression tasks on time-series.
Synthetic Time-series Generator Jun. 2020
- Generated 75,000 synthetic datasets in CSV format for an ongoing research paper on recurrent neural networks
- Wrote framework supporting the creation of AR, ARMA, ARMAX, and non-linear stochastic processes
- Written in C++17, with Catch2, and Boost Math and Multiprecision
Survey on Quantum Perceptrons May 2020
- Surveyed recent work quantizing the perceptron training algorithm for polynomial speedup
- Reviewed necessary game-theoretic and quantum concepts (Durr-Hoyer, Amplitude Amp., etc.)
- Knowledge of basic quantum computing is expected, but machine learning is not
Multi-factor Stock Valuation Model May 2019
- Constructed multi-factor valuation model for stocks in accordance with Arbitrage Pricing Theory
- Achieved annual return of 32.3% in test year 2017
- Trained model from May 2014 to December 2016 using MSCI Barra USE3 factors
- Written in R


Welcome!
{{ post.date | date: "%-d %b %Y" }} [{{ post.topic }}] {{ post.title }}
{% endif %} {% endfor %}[Android] Mimo - a Game I Made for My Daughter
Author: Truong Hong Thi, a software developer from Vietnam.
Contact me on Facebook. I rarely use Twitter (@thith) or Google+.
To get informed about new posts, follow my blog's Twitter (@mangcut_vn) or subscribe to its RSS.
Copyright © {{ 'now' | date: "%Y" }} mangcut.vn


tcp to c10k
Table of Contents
Brief Background
Get's get straight to the point, here's my bucket list for next couple of years: the things which I want to build from scratch:
- A Compiler
- A Web Server
- Something that runs on bare metal; (maybe a super primitive OS)
It's over 4 months since I started with grad school at UF. With the Networking and Concurrent Programming courses this semester, implementing a web server seems the most natural choice. This is my attempt to take on the 2nd item in the list.
Why Clojure
Since this is a great opportunity to learn a new language, I considered Haskell and Clojure to implement this project.I chose Clojure over Haskell1, because:
- Clojure is a Lisp; It's long since I worked through Little Schemer and I was craving to write some Lisp
- Rich Hickey
- Couple of threads mentioning Clojure to be more 'practical'1
As of now, Clojure is turning out to be a great decision.
About this essay
I'm planning to use this essay as a journal to the project httpj. I'll record the achievements and lessons learned in a diary fashion so that this may help someone else to implement a HTTP server and most importantly, help me remember things I learned. 'Adventures of HTTP Server Implementation' would have been more appropriate title for this essay. Just another note, I'm more interested in making a concurrent server than a perfect HTTP specification compliant server. Thus, I'll favor implementations that result in simpler, faster server than complete RFC compliant server. I'm using this board to manage tasks.
Getting Started
Echo Server
The first stage is to make a simple server which accepts TCP connection and simply echos back everything sent to it. This was pretty straight forward, but a good exercise to get acquainted with the Clojure syntax and Java interop.
Here's the commit and similar thing in Java.
Concurrent Connections
The next logical step was to make it accept multiple concurrent TCP connections.
And the Java thing to do would have been to create a new thread to handle the new
connection. Creating thread takes time and resources, and hence thread pool (something
similar to ThreadPoolExecutor
2) to manage and reuse threads to handle the clients
is recommended. We can use Java Interop feature of Clojure to port this to
Clojure.
I went to through the chapter Concurrency of the book 'Clojure for the brave and true' and found out various ways to make the program concurrent. The first and the easiest way is to create a future object. Right now, to get the project started we'll use this construct; but we'll revisit concurrency after we have worked on the protocol implementation to a fair extent.
TODO Persistent Data Structure
HTTP request and response
Right now, our server does nothing interesting other than greeting the world.
Let's change that; let's parse the request and try to figure out what client
is requesting. Since we are trying to make a static server, most of our requests
would be GET
request, so let's start with them3.
A GET
request has a structure similar to4:
GET /html/index.html HTTP/1.1
Host: localhost:8080
User-Agent: curl/7.49.1
Accept: */*
<CRLF>
In general the HTTP request format consists of an initial line followed by several
headers in key: value
format, followed by CRLF
(carriage return \r
and
line feed \n
) and then followed by message body (which may contain data for
POST
method).
Other HTTP requests, such as POST
, and HTTP response have similar format with
some differences in number and type of headers.
If HTTP/1.0 is used, it's easy to know the end of request/response; socket is closed after each transfer, which makes implementing HTTP server and client a bit easy but makes the whole process a lot in efficient5.
Let's serve HTTP!
Now that we know the request and response format, we can start servering HTTP,
and by serve, I literally mean serve HTTP.
We can use nc
6 to manually talk HTTP:
$ nc -lk 8080 # -l make nc *listen* to socket # -k nc keep listening # now point browser to 'http://localhost:8080' # browser blocks, and we can see the request browser made on nc stdout # type in HTTP response directly into nc HTTP/1.1 200 OK Content-Length: 12 Hello World # after the last blank line, the loading gears in browsers should stop and # 'Hello World' should appear on browser!
Parsing GET
request
parse-request
parses the HTTP request and returns a map {:headLine :headers}
where headers
in itself is map. Parsing is straightforward splitting the string
over ": "
.
(defn parse-reqest "parses and returns request obj" [in] (let [inp (line-seq in) head-line (parse-head-line (first inp)) headers (loop [cur-inp (rest inp) list []] (if (or (= (first cur-inp) "") (nil? (first cur-inp))) list (recur (rest cur-inp) (conj list (apply hash-map (str/split (first cur-inp) #": "))))))] {:headLine head-line, :headers headers}))
Most of the code is obvious. The only thing which isn't is loop - recur
construct.
line-seq
returns a lazy sequence of lines from socket. We are recurring over
the list (Lisp style), but instead of doing a function call, we are using this
construct because Java doesn't provide tail call optimization7 and recur
is a
hack to save stacks.
File Server
A subject so complicated, it needs a level 2 heading.
Footnotes:
Haskell is recommended if one wants to learn FP, so I'll build something else to learn it.
TCP Connection establishment is a long process. Hello; (Hello) Acknowledged; (Hello Acknowledged) Acknowledged.
man pages describe nc
as: arbitrary TCP and UDP connections and listens
. It pipes socket to stdin
and stdout


{% extends "layout.html" %} {% block body %}
{{ error }}{% endif %} {% if not session.hash_ %}
To access Buddly, use your unique link in the email we sent you. If you lost that one or it's not working, enter your email below and we'll send you another.
{% else %}Hi, {{ session.name }}.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface IndexerIF
INTERNAL: Represents a search engine indexer. Instances of this class are able to index documents and generate an index which can be used for searching those documents.
| Method Summary | |
|---|---|
void |
close()
INTERNAL: Closes the indexer. |
void |
delete()
INTERNAL: Deletes the index. |
int |
delete(String field,
String value)
INTERNAL: Removes all documents with the specified field value from the index. |
void |
flush()
INTERNAL: Flushes all changes done to the index. |
void |
index(DocumentIF document)
INTERNAL: Indexes the specified document. |
| Method Detail |
|---|
void index(DocumentIF document) throws IOException
IOException
int delete(String field, String value) throws IOException
IOException
void flush() throws IOException
IOException
void delete() throws IOException
IOException
void close() throws IOException
IOException
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


 Just let us know your SnapChat username, and we'll take care of the rest.
You're almost done! We've added you as a SnapChat friend. To receive daily corgis, you will need to open SnapChat and accept dailycorgi as a friend.
Oops! Your username doesn't look quite right. Mind double checking?


Holiday PartyDec. 15 2017The Holiday Party is coming up soon! Bring a snack or a drink for everyone to share, so we can have lots of fun. Here is a list of things that we will have:
Don't be late! |
LEGO Mindstorms CompetitionDec. 3 2017Practice has finished for our competition, and the results are apparent: there are great robots coming soon! I'm actually not sure what robots we have, but I'm sure they will be great. GO BOTS! |


History
window.history === history
pushState(88, '')
pushState({ mph: 88 })
/history/
back()
Go Back
forward()
Go Forward
replaceState()
/history/1.21gw
/history/
patch pushState()
patch
iframe replaceState()
replaceState
main pushState
main pushState
main replaceState
main replaceState
Reset
All Tests


{% extends 'jobboard/base.html' %} {% load static company_tags material_form jobboard_tags %} {% block content %} {{ office_form.media }} {{ block.super }} {% if user.is_authenticated %} {% member_company_role user company as role %} {% endif %}
| Tax number | {{ company.tax_number }} |
| Legal address | {{ company.legal_address }} |
| Work sector | {{ company.work_sector }} |
| Date created | {{ company.date_created }} |
| Aims & objectives |
{{ company.description|safe }} |
| Member | Role |
|---|---|
| {% firstof req.member.full_name req.member.username %} | process |
| You | {{ role }} |
| {% firstof member.full_name member.username %} | {% if role == 'owner' %} {% else %} {{ mem_role }} {% endif %} |
| Company contract address | {% if company.contract_address is not None %} {{ company.contract_address }} {% else %} {% endif %} |
Click here to add this company to your work experience!
| Balance | {{ company.contract_address|balance }} Vera |
| Fellow workers | {{ company.members|length }} |
| Vacancies | {{ company.vacancies.count }} |


Physical wellness is wellness relating to your overall physical health. This includes nutrition, sexual health, as well as physical activity and your body-image.
Ways to improve your physical wellness are:
- Exercise regularly: there are LOTS of ways to get active at U of T.
Check out http://www.athletics.utoronto.ca/ to see the intramurals, drop in classes,
and facilities that U of T has to offer.
Don’t forget to check out http://eaa.skule.ca/ to find out more about engineering only athletics!
-
- Eat healthy, balanced meals: Make sure you are eating all of the food groups!
Check out healthcanada.gc.ca/foodguide to learn more
- Reduce the amount of unhealthy snacks you eat: ie instead of buying a
bag of chips, pack some fruits and vegetables for you to snack on during
the school day. A few minutes of planning in the morning can save you $$
and improve your physical health!
- Drink water: Make sure you bring a water bottle with you to SKULE as U of T
doesn’t sell plastic water bottles anymore. With your water bottle, you can
fill up around campus for free!
- Reduce caffeine intake: The more caffeine you have, the less effective it is
on you. Save that venti coffee for the day you really need it, and opt for
decaf or a different drink altogether. You’ll save money, and stay healthier.
- Develop a regular sleep schedule: Sleep is very important, especially the day
before exams/midterms.
Getting between 6-8 a day is encouraged, and having a set routine will make it easier to
get out of bed in time for those 9 am classes.
- Visit the doctor on a regular basis: Ensure you are going for your yearly checkups!
If you think you are sick, see a doctor as soon as you can, instead of waiting till
it gets really serious. U of T has doctors on campus that students can see if your
family doctor is too far away.
Check out https://www.studentlife.utoronto.ca/hwc/appointments-eligibility to learn more.
- Limit or avoid alcohol, tobacco, and other non-prescription drugs


| bind_re_match {rematch2} | R Documentation |
Taking a data frame and a column name as input, this function will run
re_match
and bind the results as new columns to the original
table., returning a tibble
. This makes it friendly for
pipe-oriented programming with magrittr.
bind_re_match(df, from, ..., keep_match = FALSE) bind_re_match_(df, from, ..., keep_match = FALSE)
df |
A data frame. |
from |
Name of column to use as input for |
... |
Arguments (including |
keep_match |
Should the column |
bind_re_match_
: Standard-evaluation version that takes a quoted column name.
If named capture groups will result in multiple columns with the same
column name, repair_names
will be called on the
resulting table.
Standard-evaluation version bind_re_match_
that is
suitable for programming.
match_cars <- tibble::rownames_to_column(mtcars) bind_re_match(match_cars, rowname, "^(?<make>\\w+) ?(?<model>.+)?$")


ONCE AROUND A film review by Scott T. Eggimann Copyright 1991 Scott T. Eggimann
Capsule review: A well-done movie about relationships and fitting in.  Rating: +2 (-4 to +4); worth the full price to see.
Richard Dreyfus and Holly Hunter reunite again as lovers. Their last meeting was in the 1989 hit ALWAYS. These two have a chemistry between them that lets us get carried up in their love for each other. These two are fun to watch together; Dreyfus always seems to be running around out of control while Hunter in contrast, seems to be calm and in control of her life. We never doubt their feelings for each other.
Sam Sharpe (Richard Dreyfus) plays a successful condo salesman who never really fits into the Bella family. Although he tries, he never grasps when to leave well enough alone. Dreyfus as the stereotypical salesman, interacts so well with everyone in the cast, everyone is effected by him. Whether positively or negatively, he does effect everyone in the movie. As the family's feelings toward Sam changed, my feelings changed with them. Is this the director conveying these feelings to me or is it Dreyfus? I think that it's Dreyfus as an actor.
And what is it about Holly Hunter that is so appealing? Hunter is so captivating that one wants to jump up into the movie and hug her. Hunter plays Renata Bella, the youngest daughter to Joe (Danny Aiello) and [I cannot remember her first name] (Gena Rowlands) Bella. Renata's life is in a state of disarray when we meet her. She's looking for a career and her longtime lover fails to commit to her. We cannot but help to feel sorry for her.
The action between Joe and Sam is what makes this movie funny. Two strong-willed men fighting for control of the family and ultimately Renata. The friction between them is fueled by the fact that both men are both very eccentric. Each has their strange and sometimes humorous ethnic customs that they strictly follow, even when circumstances do not permit the continuance of the outdated custom. In fact the funniest parts of this film are the two men acting out their customs, and the others ability to deal with the annoyance.
The satisfying part of the movie is we get to see everyone change. After all, it is change that is the only constant in life, we'd better deal with it somehow. Although the Bella family is slow and somewhat reluctant to change, the strength of the family unity is tested and ultimately strong enough to withstand the highly eccentric Sam. Ironically, it is Sam who does the least amount of changing.
A strong theme throughout this movie (more strongly in the beginning than in the end) is that you can never return home. Renata returns home after she breaks up with her first lover. The problems begin when she brings Sam home. I always liked Sam, after all he is trying to please everybody; he doesn't have a bad bone in his body. I had a problem with the Bella's hesitation to accept Sam, and Renata's happiness.
The movie did seem to drag on for a while in the middle, probably because of lack of a plot. Overall I enjoyed the movie, and I would probably see it again. I couldn't help but compare Joe and Sam to Archie Bunker and Mike in "All in the Family". On many levels Joe and Archie are very similar; they both have eccentric habits and are reluctant to accept their daughter's lover; Sam and Mike keep on living uneffected by their father-in-law's actions and they don't seem to care what is thought about them. Joe is no Archie Bunker though, in the end Joe realizes his daughter's happiness and accepts Sam for who he is.
Maybe we can all learn something from Joe Bella.
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
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Brooklyn based technology leadership, user experience, project management, and coding expertise for hire. Tango and Feldenkrais aficionado.
fun page content


After a rather disappointing non-trip with insuffulated ground columbrina seeds I decided to give this substance and route another try, this time with better preparation.
5 seeds of anandenanthera c. were microwave-popped, and crushed in my new-bought mortar (tadaaa! - did I mention that? get a mortar if you plan on doing such preparations), together with some limestone and baking soda (after learning that limestone is nothing more than chalk [CaCO3], I got slight doubts about its solubility - might be that actually caustic potash [CaCO - quite dangerous stuff!] is to be used - these things often get confused in translations - so I added some baking soda to have at least *some* base. End product was nearly a teaspoon of grayish-brownish powder (about as fine as flour) with some dark speckles of seed shells which I just wasnt able to grind down.

The effects were milder than the last time, though the peak was far more noticeable (quicker insuffulation). I learned that maybe my limestone was none, though, so that might be explained by less base (baking soda).
The effects basically were: noticeable intoxication, slight motor effects, some visuals, general mood elevation.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


public class Photo
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
INPAINT_NS |
static int |
INPAINT_TELEA |
| Constructor and Description |
|---|
Photo() |
| Modifier and Type | Method and Description |
|---|---|
static void |
fastNlMeansDenoising(Mat src,
Mat dst)
Perform image denoising using Non-local Means Denoising algorithm
http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several
computational optimizations.
|
static void |
fastNlMeansDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize)
Perform image denoising using Non-local Means Denoising algorithm
http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several
computational optimizations.
|
static void |
fastNlMeansDenoisingColored(Mat src,
Mat dst)
Modification of
fastNlMeansDenoising function for colored images |
static void |
fastNlMeansDenoisingColored(Mat src,
Mat dst,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize)
Modification of
fastNlMeansDenoising function for colored images |
static void |
fastNlMeansDenoisingColoredMulti(java.util.List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize)
Modification of
fastNlMeansDenoisingMulti function for colored
images sequences |
static void |
fastNlMeansDenoisingColoredMulti(java.util.List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize)
Modification of
fastNlMeansDenoisingMulti function for colored
images sequences |
static void |
fastNlMeansDenoisingMulti(java.util.List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize)
Modification of
fastNlMeansDenoising function for images
sequence where consequtive images have been captured in small period of time. |
static void |
fastNlMeansDenoisingMulti(java.util.List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize,
int searchWindowSize)
Modification of
fastNlMeansDenoising function for images
sequence where consequtive images have been captured in small period of time. |
static void |
inpaint(Mat src,
Mat inpaintMask,
Mat dst,
double inpaintRadius,
int flags)
Restores the selected region in an image using the region neighborhood.
|
public static final int INPAINT_NS
public static final int INPAINT_TELEA
public static void fastNlMeansDenoising(Mat src, Mat dst)
Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several computational optimizations. Noise expected to be a gaussian white noise
This function expected to be applied to grayscale images. For colored images
look at fastNlMeansDenoisingColored
.
Advanced usage of this functions can be manual denoising of colored image in
different colorspaces.
Such approach is used in fastNlMeansDenoisingColored
by
converting image to CIELAB colorspace and then separately denoise L and AB
components with different h parameter.
src
- Input 8-bit 1-channel, 2-channel or 3-channel image.dst
- Output image with the same size and type as src
.public static void fastNlMeansDenoising(Mat src, Mat dst, float h, int templateWindowSize, int searchWindowSize)
Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several computational optimizations. Noise expected to be a gaussian white noise
This function expected to be applied to grayscale images. For colored images
look at fastNlMeansDenoisingColored
.
Advanced usage of this functions can be manual denoising of colored image in
different colorspaces.
Such approach is used in fastNlMeansDenoisingColored
by
converting image to CIELAB colorspace and then separately denoise L and AB
components with different h parameter.
src
- Input 8-bit 1-channel, 2-channel or 3-channel image.dst
- Output image with the same size and type as src
.h
- Parameter regulating filter strength. Big h value perfectly removes
noise but also removes image details, smaller h value preserves details but
also preserves some noisetemplateWindowSize
- Size in pixels of the template patch that is used
to compute weights. Should be odd. Recommended value 7 pixelssearchWindowSize
- Size in pixels of the window that is used to compute
weighted average for given pixel. Should be odd. Affect performance linearly:
greater searchWindowsSize - greater denoising time. Recommended value 21
pixelspublic static void fastNlMeansDenoisingColored(Mat src, Mat dst)
Modification of fastNlMeansDenoising
function for colored images
The function converts image to CIELAB colorspace and then separately denoise
L and AB components with given h parameters using fastNlMeansDenoising
function.
src
- Input 8-bit 3-channel image.dst
- Output image with the same size and type as src
.public static void fastNlMeansDenoisingColored(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize)
Modification of fastNlMeansDenoising
function for colored images
The function converts image to CIELAB colorspace and then separately denoise
L and AB components with given h parameters using fastNlMeansDenoising
function.
src
- Input 8-bit 3-channel image.dst
- Output image with the same size and type as src
.h
- Parameter regulating filter strength for luminance component. Bigger
h value perfectly removes noise but also removes image details, smaller h
value preserves details but also preserves some noisehColor
- The same as h but for color components. For most images value
equals 10 will be enought to remove colored noise and do not distort colorstemplateWindowSize
- Size in pixels of the template patch that is used
to compute weights. Should be odd. Recommended value 7 pixelssearchWindowSize
- Size in pixels of the window that is used to compute
weighted average for given pixel. Should be odd. Affect performance linearly:
greater searchWindowsSize - greater denoising time. Recommended value 21
pixelspublic static void fastNlMeansDenoisingColoredMulti(java.util.List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize)
Modification of fastNlMeansDenoisingMulti
function for colored
images sequences
The function converts images to CIELAB colorspace and then separately denoise
L and AB components with given h parameters using fastNlMeansDenoisingMulti
function.
srcImgs
- Input 8-bit 3-channel images sequence. All images should have
the same type and size.dst
- Output image with the same size and type as srcImgs
images.imgToDenoiseIndex
- Target image to denoise index in srcImgs
sequencetemporalWindowSize
- Number of surrounding images to use for target
image denoising. Should be odd. Images from imgToDenoiseIndex -
temporalWindowSize / 2
to imgToDenoiseIndex - temporalWindowSize
/ 2
from srcImgs
will be used to denoise
srcImgs[imgToDenoiseIndex]
image.public static void fastNlMeansDenoisingColoredMulti(java.util.List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, float h, float hColor, int templateWindowSize, int searchWindowSize)
Modification of fastNlMeansDenoisingMulti
function for colored
images sequences
The function converts images to CIELAB colorspace and then separately denoise
L and AB components with given h parameters using fastNlMeansDenoisingMulti
function.
srcImgs
- Input 8-bit 3-channel images sequence. All images should have
the same type and size.dst
- Output image with the same size and type as srcImgs
images.imgToDenoiseIndex
- Target image to denoise index in srcImgs
sequencetemporalWindowSize
- Number of surrounding images to use for target
image denoising. Should be odd. Images from imgToDenoiseIndex -
temporalWindowSize / 2
to imgToDenoiseIndex - temporalWindowSize
/ 2
from srcImgs
will be used to denoise
srcImgs[imgToDenoiseIndex]
image.h
- Parameter regulating filter strength for luminance component. Bigger
h value perfectly removes noise but also removes image details, smaller h
value preserves details but also preserves some noise.hColor
- The same as h but for color components.templateWindowSize
- Size in pixels of the template patch that is used
to compute weights. Should be odd. Recommended value 7 pixelssearchWindowSize
- Size in pixels of the window that is used to compute
weighted average for given pixel. Should be odd. Affect performance linearly:
greater searchWindowsSize - greater denoising time. Recommended value 21
pixelspublic static void fastNlMeansDenoisingMulti(java.util.List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize)
Modification of fastNlMeansDenoising
function for images
sequence where consequtive images have been captured in small period of time.
For example video. This version of the function is for grayscale images or
for manual manipulation with colorspaces.
For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=<IP_ADDRESS>.6394
srcImgs
- Input 8-bit 1-channel, 2-channel or 3-channel images sequence.
All images should have the same type and size.dst
- Output image with the same size and type as srcImgs
images.imgToDenoiseIndex
- Target image to denoise index in srcImgs
sequencetemporalWindowSize
- Number of surrounding images to use for target
image denoising. Should be odd. Images from imgToDenoiseIndex -
temporalWindowSize / 2
to imgToDenoiseIndex - temporalWindowSize
/ 2
from srcImgs
will be used to denoise
srcImgs[imgToDenoiseIndex]
image.public static void fastNlMeansDenoisingMulti(java.util.List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, float h, int templateWindowSize, int searchWindowSize)
Modification of fastNlMeansDenoising
function for images
sequence where consequtive images have been captured in small period of time.
For example video. This version of the function is for grayscale images or
for manual manipulation with colorspaces.
For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=<IP_ADDRESS>.6394
srcImgs
- Input 8-bit 1-channel, 2-channel or 3-channel images sequence.
All images should have the same type and size.dst
- Output image with the same size and type as srcImgs
images.imgToDenoiseIndex
- Target image to denoise index in srcImgs
sequencetemporalWindowSize
- Number of surrounding images to use for target
image denoising. Should be odd. Images from imgToDenoiseIndex -
temporalWindowSize / 2
to imgToDenoiseIndex - temporalWindowSize
/ 2
from srcImgs
will be used to denoise
srcImgs[imgToDenoiseIndex]
image.h
- Parameter regulating filter strength for luminance component. Bigger
h value perfectly removes noise but also removes image details, smaller h
value preserves details but also preserves some noisetemplateWindowSize
- Size in pixels of the template patch that is used
to compute weights. Should be odd. Recommended value 7 pixelssearchWindowSize
- Size in pixels of the window that is used to compute
weighted average for given pixel. Should be odd. Affect performance linearly:
greater searchWindowsSize - greater denoising time. Recommended value 21
pixelspublic static void inpaint(Mat src, Mat inpaintMask, Mat dst, double inpaintRadius, int flags)
Restores the selected region in an image using the region neighborhood.
The function reconstructs the selected image area from the pixel near the area boundary. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. See http://en.wikipedia.org/wiki/Inpainting for more details.
Note:
src
- Input 8-bit 1-channel or 3-channel image.inpaintMask
- Inpainting mask, 8-bit 1-channel image. Non-zero pixels
indicate the area that needs to be inpainted.dst
- Output image with the same size and type as src
.inpaintRadius
- Radius of a circular neighborhood of each point
inpainted that is considered by the algorithm.flags
- Inpainting method that could be one of the following:


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WITNESS LIST
Natural Resources & Economic Development
April 30, 2015 9:00 AM
FOR:
Longahecker, Ed (Texas Independent Producers and Royalty Owners Association), Austin,
TX
Mathews, Greg (Chevron U.S.A Inc. & Chevron Pipeline Company), Houston, TX
AGAINST:
Allison, Jim (County Judges and Commissioners Assn. of TX), Austin, TX
Burgess, Anita (City of Denton), Denton, TX
Dobbs, Andrew (Texas Campaign for the Environment), Austin, TX
Green, Buddy (Self), Spring, TX
Jacoby, Jeffrey (Self), Austin, TX
Long-Manuel, Amy (Self), Denton, TX
McMullen, Cathy (Self), Denton, TX
Metzger, Luke (Environment Texas), Austin, TX
Reed, Cyrus (Sierra Club, Lone Star Chapter), Austin, TX
Taylor, Margie (Self), Corsicana, TX
Watts, Chris Mayor (City of Denton), Denton, TX
ON:
Mann, James (Texas Pipeline Association and Gas Processors), Austin, TX
Registering, but not testifying:
FOR:
Acevedo, Adrian (Anadarko Petroleum Corp.), Austin, TX
Billingsley, Anne (Oneok), Austin, TX
Buchanan, Laura (Texas Land and Mineral Owners Association), Austin, TX
Casey, Stan (Concho Resources), Midland, TX
Dow, Jim (America's Natural Gas Alliance), Austin, TX
Dow, Jim (Pioneer Natural Resources), Austin, TX
Golemon, Kinnan (Shell Oil Co., Devon Energy), Austin, TX
Gutierrez, Hugo (Marathon Oil Corp.), Houston, TX
Hinkle, Dan (Apache; BP; Enervest; EOG Resources; Association of Energy Service
Companies), Sugar Land, TX
Holt, David (Permian Basin Petroleum Assoc.), Austin, TX
Hosek, Chris (SM Energy; QEP Resources; Select Energy; Range Resources; Newfield
Exploration; Linn Energy; EXCO Resources; BASA Resources), Austin, TX
Moore, Julie (Occidental Petroleum), Austin, TX
Omey, Samantha (Self), Austin, TX
Perry, Steve (Chevron USA), Austin, TX
Sellers, Tom (ConocoPhillips), Austin, TX
Staples, Todd (TXOGA), Austin, TX
Stevens, Bill (TX Alliance of Energy Producers), Austin, TX
Venable, Peggy (Americans for Prosperity - Texas), Austin, TX
Williams, Julie (Chevron), Austin, TX
WITNESS LIST
Natural Resources & Economic Development
April 30, 2015 9:00 AM
AGAINST:
Berlanga, Hugo (EDF), Austin, TX
Foster, David (Clean Water Action), Austin, TX
Haverlah, Sandie (Environmental Defense Fund), Austin, TX
Lee, Donald (Texas Conference of Urban Counties), Austin, TX
Mendez, Mark (Tarrant County), Ft. Worth, TX
Sweigart, Thad (Texas Campaign for the Environment), Austin, TX
Taylor, Ted (Self), Corsicana, TX
Weinberg, David (Texas League of Conservation Voters), Austin, TX
ON:
Goss, Diane (TCEQ), Austin, TX
Igo, Shanna (Texas Municipal League), Austin, TX
Rister, Milton (Railroad Commission), Austin, TX
Sheedy, Keith (TCEQ), Austin, TX
Williams, C.E. (Panhandle Ground Water Dist.), White Deer, TX
Registering, but not testifying:
FOR:
Grace, James M. (Houston Texans), Houston, TX
Howard, Jay (Houston Astros, San Antonio Spurs, FC Dallas), Austin, TX
Jones, Neal T. Buddy (Dallas Cowboys, Dallas Stars, Texas Rangers), Austin, TX
Registering, but not testifying:
FOR COMMITTEE SUBSTITUTE (CSHB 1926) :
Zion, Mark (Texas Public Power Association), Austin, TX
AGAINST COMMITTEE SUBSTITUTE (CSHB 1926) :
Jewell, Michael (Southern Cross Transmission), Austin, TX
FOR:
Kahn, Bob (Texas Municipal Power Agency), Austin, TX
Oney, Thomas (LCRA), Austin, TX
Schwertner, Ray (City of Garland, Garland Power & Light), Austin, TX
Williams, Phil (Denton Municipal Electric & TMPA), Corinth, TX
ON:
Lloyd, Brian (Public Utility Commission of Texas), Austin, TX
Registering, but not testifying:
FOR:
Grace, James M. (Houston Texans), Houston, TX
Howard, Jay (Houston Astros, San Antonio Spurs, FC Dallas), Austin, TX
Jones, Neal T. Buddy (Dallas Cowboys, Dallas Stars, Texas Rangers), Austin, TX


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PRINCESS MONONOKE (Miramax) Voices: Billy Crudup, Billy Bob Thornton, Minnie Driver, John Di Maggio, Claire Danes, John De Mita, Jada Pinkett-Smith, Gillian Anderson. Screenplay: Neil Gaiman, adapted from the screenplay by Hayao Miyazaki. Producer: Toshio Suzuki. English Voice Director: Jack Fletcher. Director: Hayao Miyazaki. MPAA Rating: PG-13 (violence, profanity, adult themes) Running Time: 136 minutes. Reviewed by Scott Renshaw.
Somehow, somewhere, this whole "anime" wave has left me behind. Sure, the Japanese animation style is distinctive, but it strikes me that the form has not progressed radically in the 30 years since "Speed Racer." Though the backgrounds may have become richer, there's still a vaguely Anglicized blandness to the character design, a strange lack of fluidity to the acrobatic movements. When the Japanese smash PRINCESS MONONOKE made its way to our shores, it was spoken of as the future of animation. I was skeptical that it would bring anything that wasn't already the past of anime.
From an animation standpoint, I still think that's true, though PRINCESS MONONOKE does have some striking imagery. The real revelation in the film is the depth and complexity of its mythology and storytelling, which manage to overcome the problems with the human story. Hayao Miyazaki's tale begins with a prince named Ashitaka (Billy Crudup) of an exiled tribe. In the course of defending his village from a boar-demon, Ashitaka is infected with a malignancy that can only be cured by the Great Forest Spirit. Thus Ashitaka begins a quest that leads him to an iron mining town at the edge of a huge forest, a town led by the Lady Eboshi (Minnie Driver). The town is in conflict not only with a rival warlord who wants a share of the iron, but with the nature spirits who loathe the encroachment of humans on their forest. Ashitaka finds himself caught in the middle, especially when he becomes enamored of San (Claire Danes), the human stepdaughter of the great wolf goddess Moro (Gillian Anderson).
In case there is any confusion on the subject, let's be clear that PRINCESS MONONOKE is a film for adults. Heads and limbs fly at a rate approaching that of SLEEPY HOLLOW, and the manipulative monk Jigo (Billy Bob Thornton) uses some salty language.  Most impressive, Miyazaki keeps his story free of the didacticism so common in films with environmental themes. Lady Eboshi isn't portrayed as some cackling, grasping villain representing "civilization bad" -- instead, she's a philanthropist revered by the lepers and former prostitutes she employs in her iron works. While the nature gods are understandably bitter as they watch forests fall, theirs is not the only side of this story. Rare is the tale that suggests industry could be a co-existing entity in nature, rather than an inherent evil.
PRINCESS MONONOKE is so engrossing as both legend and lesson that you wish it could treat its characters with more care. The conflicts of its principal characters (Ashitaka's struggle with his ever-more-homicidal infected arm, San's struggle to reconcile her human and lupine backgrounds) are given only passing attention, leaving most of the focus on the set pieces and the philosophy. The line readings by the English actors are flat and constricted, performances set to a stopwatch of mouth movements instead of to the needs of the scene. And then there's the dialogue, which generally ranges from the annoyingly literalist (characters seem incapable of looking at a thing without calling out its name) to the purely giggle-inducing (I don't believe I'll ever embrace unreservedly a film that includes the line, "Forest Spirit, we give you back your head"). PRINCESS MONONOKE at times appears to be an animated variation on this year's more ballyhooed version of mythopoetics over substance, THE PHANTOM MENACE.
Still, there is something compelling about the look of PRINCESS MONONOKE, more so than I was expecting. The design of the supernatural characters is always intriguing, from the writhing worm-bodies of the demons to the Pillsbury Doughboy-cum-tiki-idol sprites called the Kodamas; the battlefields are arresting in their gore-spattered silence. Indeed, silence plays an unexpectedly effective role in this epic film, giving it a sense of reverence. There's just the problem of those darned people, whose homogeneity in word and countenance hinders an otherwise stellar effort. Anime may be more or less what it used to be, but at least the storytelling behind it is growing up.
On the Renshaw scale of 0 to 10 anime shuns: 6.
Visit Scott Renshaw's Screening Room http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the Screening Room for details, or reply to this message with subject "Subscribe".
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% set page = { title: 'Cases & Appointments', dev: true, html_classes: [], nav: { section: 'Cases & Appointments', subsection: 'Day in view', hidePrimary: true }, layout: prototype.current.layoutPath + 'layout.html', primary: { col: "full" }, secondary: false } %} {% extends page.layout %} {% block primary %}
| Monday 26 September | ||
|---|---|---|
| 9:30 - 9:45 | Phone - Elidia Helsel Notes: Customer is hard of hearing DWP - NORTH WEST GOR 03 Stockport Wellesley House 30 Wellington Road North STOCKPORT SK4 1LS | Open case |
| 10:30 - 10:45 | Phone - Hortense Maglione | Open case |
| 1:00 - 1:30 | Phone - Mikaela Hy | Open case |
| 2:00 - 2:15 | Interview - Corrie Willert DWP - NORTH WEST GOR 03 Stockport Wellesley House 30 Wellington Road North STOCKPORT SK4 1LS | Open case |
| 4:00 - 4:30 | Interview - Samuel Mattern Notes: This person is vulnerable DWP - NORTH WEST GOR 03 Stockport Wellesley House 30 Wellington Road North STOCKPORT SK4 1LS | Open case |


Oinx is a project I made at Wealthsimple's first ever hackathon. A bunch of my coworkers and I noticed we all had many goals in mind, but didn't really have much of a plan for saving money to reach them.
Thus, Oinx was designed to address the need of a tool for young people to manage their money smarter. Users can choose how much money they want to allocate to their "treats," while saving the rest toward their future. Graphs track users' upcoming goals and prompt them to save more if they won't reach a goal in time, or withdraw funds right in the app when they're achieved. Check out some screenshots.
Sushi Shop Tycoon is a Java restaurant simulation game and the first game I ever created back in June 2014. The goal of the game is to make as much money as you can within one year of fun resturant simulation!
Players can choose to alter Pricing, Advertisment, Staffing and Purchasing factors, all while keeping track of recent news and stats. All of this factors into a calculation that determines customer behaviour and ultimately the amount of sushi you sell.
Please check out the source code and screenshots.
Being tired of having to leave the Messenger app and open a web browser to search for song lyrics in Google, I decided to create something that would let me do it within the app. LyricCat is a messenger chatbot that will give you the entire lyrics to a song given its name and artist.
The idea was well recieved by my friends in a group chat, who use it frequently to obnoxiously spam each other with the lyrics to the song currently stuck in their heads. A future feature for LyricCat is for it to reply with lyrics in real time as they are sung in the song.
Check out the work in progress on Github.
BoardScribe is an application we created at WildHacks 2016 that transcribes pictures of blackboard notes in classrooms to a Django platform that is used by students, TAs and professors to collaborate.
The goal was to create the ultimate learning experience, with less time copying notes and more time listening, all while augmenting notes with automatically generated supplements to notes, like YouTube videos relevant to the topic.
Please check out our Devpost.
Neon Hex is a game of Hex with an AI opponent created in June 2015. The objective of the game is to colour in spaces of your own colour and connect pieces from one side to the other on the board, while simultaneously trying to block your opponent.
The Minimax algorithm was used to determine the best move for the computer and then make that move. We looked two moves ahead and scored the board at each state to determine the best move for the player and then the computer.
Please check out the screenshots and source code.
mySomeday is a basic web application prototype I created at a hackathon while working for RBC. The point was to create an application using IBM Bluemix cloud technology that would benefit RBC as well as improve our customers' experience.
To accomplish this I made a budgeting tool that visualizes customer's account balances, allowing them to adjust their spending and cut down to meet their savings goals in the future.
The idea was well recieved by judges in the RBC Cloud Computing Challenge as well as a Director within RBC.
TrakRecord is a marathon tracking app created in March 2016 at Wearhacks Toronto. It is used to track user progress and statistics in walkathons and marathons.
After winning $20K in support from Cossette Labs to continue development, our team working briefly with Cossette to make this a full-fledged race companion app, with features being added to notify users of nearby events (in walkathons) and to map out the race route.
The app was presented to SickKids Hospital Charity Walkathon oranizers in August 2016 with the goal of being implemented in the Canaccord Genuity Great Camp Adventure Walk in 2017.
Source code for our initial prototype of TrakRecord is available on Github.
On January 23, 2016, I participated in Jane Street's electronic trading hackathon with my team Goldman Hacks. We created a trading bot in Java to trade against other bots in a simulated market on Amazon Web Services.
Our bot performed well with many strategies such as the calculation of a moving average to estimate the fair price of equities. Source code available upon request to maintain competition integrity.


Don't know the speed of network card? Here's how to find out on Windows 10.
Are you wondering about the connection speed of the network adapter? Here are four ways to find out on Windows 10.
by Mauro HuculakSource: Windows Central
On Windows 10, the network adapter is a ubiquitous component that provides the means to connect to the network and internet using a wired or wireless connection. Understanding the current link speed can come in handy in many scenarios.
For instance, checking the link speed is useful to determine if the adapter is operating according to its technical specifications, and it can help you to diagnose performance problems. If you're upgrading your internet service to a faster tier, knowing the maximum speed of the Wi-Fi or Ethernet adapter will help to confirm whether you'll be able to take advantage of all the bandwidth.
In the case that you're planning to upgrade your network to 10Gbps, you can quickly determine if you need to change the card. Or if you're using a USB network adapter, and it doesn't include any information, checking the speed connection will reveal if you're using a 100Mbps or 1Gbps chipset.
Whatever the network card you're using, Windows 10 provides different features to confirm the link speed of a connection using Settings, Control Panel, as well as using command lines with PowerShell and Command Prompt.
In this Windows 10 guide, we'll walk you through several ways to find out the speed of the adapter connected to the network, whether you're using a wired or wireless connection.
- How to check network adapter speed using Settings
- How to check network adapter speed using Control Panel
- How to check network adapter speed using Command Prompt
- How to check network adapter speed using PowerShell
How to check network adapter speed using Settings
To view the connection speed for a Wi-Fi or Ethernet adapter, use these steps:
- Open Settings.
- Click on Network & Internet.
- Click on Status.
- Under the "Change your network settings" section, click the View your network properties option. Source: Windows Central
- Under the "Properties" section, find the network adapter (Wi-Fi or Ethernet).
- Determine the connection speed in the Link speed (Receive/Transmit) field. Source: Windows Central
Once you complete the steps, you'll know the speed the adapter is using to connect to the network.
How to check network adapter speed using Control Panel
To determine the network adapter speed with the Control Panel settings, use these steps:
- Open Control Panel.
- Click on Network and Internet.
- Click on Network and Sharing Center.
- Click the Change adapter settings in the left pane. Source: Windows Central
- Double-click the network adapter (Ethernet or Wi-Fi). Source: Windows Central
- Check the connection speed in the Speed field. Source: Windows Central Quick note: If you're looking at a Wi-Fi adapter, you can also confirm the signal quality.
After you complete the steps, you'll have a better understanding of the connection speed for the Ethernet or Wi-Fi adapter connected to the network.
How to check network adapter speed using Command Prompt
To find out the speed for the wireless or wired adapter with Command Prompt, use these steps:
- Open Start.
- Search for Command Prompt and click the top result to open the console.
- Type the following command to determine the connection speed for all the Ethernet and Wi-Fi adapters and press Enter:
wmic nic where netEnabled=true get name, speed
Source: Windows Central - Confirm the network adapter speed.
Once you complete the steps, then you'll be able to determine the speed (in bits) the card is using to connect to the network.
How to check network adapter speed using PowerShell
To check the Ethernet or Wi-Fi connection speed on Windows 10 with PowerShell, use these steps:
- Open Start.
- Search for PowerShell and click the top result to open the console.
- Type the following command to determine the connection speed for all the Ethernet and Wi-Fi adapters and press Enter:
Get-NetAdapter | select interfaceDescription, name, status, linkSpeed
Source: Windows Central - Check the Wi-Fi or Ethernet network card connection speed.
After you complete the steps, the PowerShell output will display the connection speeds in a user-friendly format (for example, 780 Mbps and 1 Gbps).
More Windows 10 resources
For more helpful articles, coverage, and answers to common questions about Windows 10, visit the following resources:


Incremental Multiple Correspondence Analysis and Principal Component Analysis.
| Version: | 1.8.2 |
| Depends: | R (≥ 2.10), ggplot2, animation, dummies |
| Imports: | corpcor, ca, ggrepel |
| Suggests: | caret |
| Published: | 2018-08-30 |
| Author: | Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide Buttarazzi [ctb] |
| Maintainer: | Angelos Markos <amarkos at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| SystemRequirements: | ImageMagick (http://imagemagick.org) or GraphicsMagick (http://www.graphicsmagick.org) |
| Citation: | idm citation info |
| CRAN checks: | idm results |
| Reference manual: | idm.pdf |
| Package source: | idm_1.8.2.tar.gz |
| Windows binaries: | r-devel: idm_1.8.2.zip, r-release: idm_1.8.2.zip, r-oldrel: idm_1.8.2.zip |
| OS X binaries: | r-release: idm_1.8.2.tgz, r-oldrel: idm_1.8.2.tgz |
| Old sources: | idm archive |
Please use the canonical form https://CRAN.R-project.org/package=idm to link to this page.


Personal Loans
Mortgage Loans
Business Loans
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Student Loans
Auto Loans
Credit Repair
Debt Settlement
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Possible options:
* Regular Expression
Regular Expression here will only include those files which match the regular expression.
e.g. *.yaml (matches any filename which ends with .yaml).
* Single File
e.g. Filename.extension
* Multiple Paths
e.g. Filename1.extension, Filename2.extension, ...


Dashboard
Invoices
Create
Manage
Quotes
Create
Manage
Products
Create
Manage
Customers
Create
Manage
Settings
Exit
UPDATE AVAILABLE
Download
Downloading Update
You can continue to use the application.
Install Update
Quotations
0
0
Invoices
0
0
Unpaid
0
0
Paid
0
0
INVOICE
To
Select a customer
@
From
@
Item
Description
Qty
Price
Discount
Sub Total
or
Sub Total:
0.00
Discount:
0.00
Delivery:
TAX/VAT:
0.00
Total:
0.00
Cancel
Manage Invoices
No.
Customer
Total
Date
Due
Status
Action
Manage Quotes
No.
Customer
Total
Date
Valid Until
Status
Action
Manage Products
Name
Description
Price
Action
Manage Customers
Name
Email
Phone
Contact
Action
×
Product
×
Customer
@
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Select a product
Name
Description
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Action
×
Settings
%
Add Vat
Logo
Select Image
SMTP SETTINGS
Use offlineinvoicing.com email settings
Host:
Port:
User:
Pass:
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To
From
×
Select a customer
Name
Contact
Action


The SanitizeHelper module provides a set of methods for scrubbing text of undesired HTML elements. These helper methods extend ActionView making them callable within your template files.
This sanitize helper will html encode all tags and strip all attributes that aren‘t specifically allowed. It also strips href/src tags with invalid protocols, like javascript: especially. It does its best to counter any tricks that hackers may use, like throwing in unicode/ascii/hex values to get past the javascript: filters. Check out the extensive test suite.
<%= sanitize @article.body %>
You can add or remove tags/attributes if you want to customize it a bit. See ActionView::Base for full docs on the available options. You can add tags/attributes for single uses of sanitize by passing either the :attributes or :tags options:
Normal Use
<%= sanitize @article.body %>
Custom Use (only the mentioned tags and attributes are allowed, nothing else)
<%= sanitize @article.body, :tags => %w(table tr td), :attributes => %w(id class style)
Add table tags to the default allowed tags
Rails::Initializer.run do |config| config.action_view.sanitized_allowed_tags = 'table', 'tr', 'td' end
Remove tags to the default allowed tags
Rails::Initializer.run do |config| config.after_initialize do ActionView::Base.sanitized_allowed_tags.delete 'div' end end
Change allowed default attributes
Rails::Initializer.run do |config| config.action_view.sanitized_allowed_attributes = 'id', 'class', 'style' end
Please note that sanitizing user-provided text does not guarantee that the resulting markup is valid (conforming to a document type) or even well-formed. The output may still contain e.g. unescaped ’<’, ’>’, ’&’ characters and confuse browsers.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/sanitize_helper.rb, line 51 51: def sanitize(html, options = {}) 52: self.class.white_list_sanitizer.sanitize(html, options) 53: end
Sanitizes a block of CSS code. Used by sanitize when it comes across a style attribute.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/sanitize_helper.rb, line 56 56: def sanitize_css(style) 57: self.class.white_list_sanitizer.sanitize_css(style) 58: end
Strips all link tags from text leaving just the link text.
Examples
strip_links('Ruby on Rails') # => Ruby on Rails strip_links('Please e-mail me at <a href="mailto:me<EMAIL_ADDRESS># => Please e-mail me at<EMAIL_ADDRESS>strip_links('Blog: Visit.') # => Blog: Visit
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/sanitize_helper.rb, line 89 89: def strip_links(html) 90: self.class.link_sanitizer.sanitize(html) 91: end
Strips all HTML tags from the html, including comments. This uses the html-scanner tokenizer and so its HTML parsing ability is limited by that of html-scanner.
Examples
strip_tags("Strip these tags!") # => Strip these tags! strip_tags("Bold no more! See more here...") # => Bold no more! See more here... strip_tags("
Welcome to my website!
") # => Welcome to my website!
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/sanitize_helper.rb, line 74 74: def strip_tags(html) 75: self.class.full_sanitizer.sanitize(html) 76: end


--- layout: default title: Furatto - Images ---
ll of the images on Furatto already have a predefined styling, just for a bette rendering. We would not want to ruin our awesome photos.
You don't have to add extra classes for the images, Yei!, simple invoke an img element.

We have provided three image variations for you to try on. The class names are .circular, .radius and .polaroid.

IE support
We use compass to support the majority of browsers, IE 8 and down does not support rounded corners. So .radius and .circular class names would not render properly.
There is an issue with circular and polaroid versions on iOS devices, and the easiest workaround to solve this is by warpping the img element into a div with an .img-frame class name.
Then you just have to append the modifier class to this div element instead of the img itself. This is shown below.

We don't want to make images responsive by default, as is not always the desired behavior, so we are letting that to you. To achieve responsive images we just add a max-width: 100% and height: auto. This way the image will scale nicely to the parent element.

To customize the img element to meet your needs, you just have to simply change the corresponding Sass variables.
//Images variations
$img-radius: px-to-rems(3) !default;
$img-round: 50rem !default;
//Image general settings
$img-polaroid-padding: 0.28571429rem !default;
$img-polaroid-background: #FFF !default;
$img-polaroid-border-width: 0.07142857rem !default;
$img-polaroid-border-style: solid !default;
$img-polaroid-border-color: rgba(#000, 0.2) !default;
$img-display: inline-block !default;
$img-frame-margin: 5px !default;
//Experimental
$include-img-experimental: true !default;
$include-img-flexible-ratios: true !default;
This experimental feature builds responsive cover images with different aspect ratios, which you can see below. Remember just because looks good on your last updated browser, does not mean it will work nice everywhere. To see it i action, just resize your browser window.

A thought on ratios
We have provided 4 different aspect ratios for you to try:
- .ratio-2by1
- .ratio-3by1
- .ratio-4by1
- .ratio-4by3
//Experimental
// Kudos to Nicolas Gallagher
@if($include-img-experimental) {
.cover-image {
display: block;
overflow: hidden;
position: relative;
background-position: 50%;
background-repeat: no-repeat;
background-size: cover;
margin: 0 auto 1em;
max-height: 300px;
max-width: 100%;
@if($include-img-flexible-ratios == false) {
padding-bottom: 50%;
}
&:before {
content: '';
display: block;
width:100%;
}
@if($include-img-flexible-ratios) {
&.ratio-2by1:before {
padding-bottom: 50%;
}
&.ratio-3by1:before {
padding-bottom: 33.33%;
}
&.ratio-4by1:before {
padding-bottom: 25%;
}
&.ratio-4by3:before {
padding-bottom: 75%;
}
}
}
}


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This page exists as a tech demo. It will load pages from the MusicBrainz webservice, then format them into page templates in Javascript. The idea is to see how much you can do nowadays with a “static” HTML page by itself.
If you're seeing this page, something has gone wrong during script loading/initialization. This could be anything from an unsupported browser to catching me while I'm editing live code on the site. Give it a few minutes and try again, and file a bug report on the Github page if the issue persists.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/inter_subset_union.html ---
Am I stupid, or are we missing s \cap t \sub s \cup t
in the library?
I know two proofs of that, maybe they couldn't decide which one to use
Do we have P and Q implies P or Q?
due to some auspicious [ematch]
lemmas in the lattice library, the version for lattices is by {[smt] eblast}
but indeed, library_search
fails for the lattice version also.
BTW, where can I read about ematch
?
Last updated: Apr 24 2020 at 19:02 UTC


Wiley's Melville HTML5+RDFa
scholarly publishing format.
The Model Journal Article (MJA) is intended to provide a ready reference for a broad range of content use cases that fall under the general rubric of scholarly publishing.
This site provides a collection of various representations of the same MJA content for the purpose of format comparison.
See one we're missing? We'd love to have your help!


/api/annotate |
POST |
{"text":""} |
Produces a Document using FastNLPProcessor |
/api/fastnlp/annotate |
POST |
{"text":""} |
Produces a Document using FastNLPProcessor |
/api/bionlp/annotate |
POST |
{"text":""} |
Produces a Document using BioNLPProcessor |
/api/sentiment/corenlp/score |
POST |
Document , Sentence , or {"text": ""} |
Produces a sentiment score for each sentence using FastNLPProcessor . Responses are of the form {"scores": []}
|
/api/odin/extract |
POST |
Receives a POST of one of the following forms:
{"rules": "", "text": ""}
{"rules": "", "document": {}}
{"url": "", "text": ""}
{"url": "", "document": {}}
a "url" value should end in .yml .
|
Responses are of the form {"mentions": []} |
/api/openie/entities/base-extract |
POST |
{"text":""} |
Responses are of the form {"mentions": []} |
/api/openie/entities/extract |
POST |
{"text":""} |
Responses are of the form {"mentions": []} |
/api/openie/entities/extract-filter |
POST |
{"text":""} |
Responses are of the form {"mentions": []} |
/shutdown |
POST |
|
Any POST to this endpoint will shutdown the server. |


This wizard will help you configure the module [@module@] for import.
Each page allows you to configure a different set of properties before
creating the project file and directory structures on disk.
| Name: | @project@ |
| Directory: | @directory@ |
| Module: | @module@ |


Importing users...
{{importedUsers}} new users were imported.
{{overwrittenUsers}} previously existing users were deleted.


{% extends 'base.html' %} {% block content %}
Location: {{ neighdetails.location }}
Description: {{ business.description }}
Seller: {{ business.username }}
{{ business.email }}You don't have any Business SetUp
{% endfor %}{{ story.story }}
By {{ story.postuser }}