| MetroCon 2003 - Software/Internet Track |
Abstracts & Biographies
|
See Program
Outline and Schedule
Ad Hoc Software Interfacing:
Enterprise Application Integration when Middleware is Overkill
Arthur Reyes, UTA
8 :30-9:30
Abstract: Enterprise application integration (EAI) is cooperation of disparate systems and components to implement business rules in a distributed environment. "Systems and components" can be computer-aided design (CAD) or software engineering (CASE) tools, enterprise databases, COTS applications, or in-house software. Ad hoc software interfacing (AHSI) is a special kind of EAI. A tradeoff analysis classifies an EAI problem as an AHSI problem when middleware solutions are seen as heavy-handed. I.e., the planned EAI is not expected to become broad enough to justify the generality of a middleware solution. AHSI seeks to "wire" extant software applications as components in new, larger software applications. We call applications-as-components "appliponents". AHSI seeks to minimize recoding of appliponents to the greatest extent possible. We demonstrate solutions to AHSI problems using XML toolkits, domain-specific language toolkits, and Microsoft BizTalk Server.
Biography: Reyes received his B.S. in Aerospace Engineering
from polytechnic University in 1987. Reyes worked for Northern Corporation from
1987 to 1990 on the B-2 stealth Bomber aircrew training services. Reyes received
the PhD in Information and Computer Science from University of California at
Irvine in 1999. Reyes has been employed as assistant Professor with CSE@UTA
since Sept. 1999. http://ranger.uta.edu/~reyes/research/reyes_biography.html
Adaptive
Virtual Environments - Applications and Opportunities
Karl Steiner, UNT CS
9 :45-10:45
Abstract: Virtual environments (or VEs) are a powerful option for visualizing and interacting with information, yet their widespread adoption has been limited at least in part by the expense and difficulty of producing complex and engaging VE applications. However, research is providing tools and techniques for simplifying the production and management of VE experiences. We will provide a review of recent advances in adaptive VEs, as well as discuss potential applications of this technology to business, education, and entertainment.
Biography: Karl Steiner is an assistant professor of
computer science at the University of North Texas. He has both a research and
professional background in Human-Computer Interaction, with particular interests
in Intelligent Interfaces for Virtual Environments, Computer Supported Collaborative
Work, and Interactive Narratives. Dr. Steiner received his Ph.D. in computer
science from the University of Illinois (Chicago). In addition to supervising
research-oriented efforts, Dr. Steiner has also consulted on many industry projects.
He can be reached at<EMAIL_ADDRESS>Community Computing
Framework for Enhancing Internet Services
Mohan Kumar, UTA
11:00-12:00
Abstract: The Internet is expected to be employed to facilitate such applications as telemedicine, education, and transportation, military all the time and everywhere. These applications demand automated, continual unobtrusive services and proactive real-time collaborations among devices and software agents in dynamic heterogeneous environments. The existing push-/pull-based Internet and network model which is intended essentially for static information services is inadequate to meet these requirements. In this talk we present a novel framework based on communities of agents to enhance the availability of Internet services to users and applications.
Biography: Mohan Kumar is an associate
professor in the Department of Computer Science and Engineering at the University
of Texas at Arlington. His research areas include pervasive computing, mobile
computing and the wirless Internet and parallel and distributed computing. He
has a PhD in computer science from the Indian Institute of Science. He is a
senior member of the IEEE. Contact him at the Dept. of Computer Science and
Eng., PO Box 19015, Arlington, TX 76019<EMAIL_ADDRESS>End-to-End Enterprise Application
Integration with the Microsoft .NET Framework and BizTalk 2004
Brian Moore, Microsoft
William Oellermann, Avanade
1:30-3:00
Abstract: With the advent of Web Services, many businesses are looking into deploying Web Services as a component of their enterprise application integration (EAI) strategy. Given the ease of development and deployment of Web Services in the Microsoft .NET Framework, the Microsoft platform is being considered more and more by businesses at the foundation of their EAI strategy. However, savvy businesses are looking to the future to see how Web Services can be exploited as a part of the larger business process. This session will explore building solutions that automate business processes and integrate web services utilizing BizTalk Server 2004 and the Microsoft .NET Framework.
Biography: Brian Moore is a Developer Evangelist with over a decade of industry experience, both as an in house developer for a major insurance company and as a consultant for Perot Systems. Having spent nearly eight years with Perot Systems, Brian worked for numerous customers in a variety of roles. Prior to joining Microsoft in late 2000, Brian was a Windows DNA architect for Perot Systems' Dallas-based offices consulting for a major healthcare provider and supplementing the sales force as a pre-sales technical consultant. His primary focus during his last year with Perot Systems had been to help accounts and sales teams define technology solutions and design multi-tier Microsoft-based architectures. William Oellermann is an Enterprise Solutions Advisor for Avanade, Inc., a premier global technology integrator of Microsoft® solutions in the enterprise. William also authored Architecting Web Services from Apress and has been published in periodicals such as .NET magazine and MSDN. He has worked extensively with XML- and Web-based applications in enterprise settings and has made the Web services paradigm his primary technology focus since 1999.
Wireless-to-Wired Network
Controls and Security
Jeff Carrell, HP-ProCurve
Networking Division
3:15-4:45
Abstract: With more and more mobile computing (from home to enterprise) users and companies deploying wireless LANs (WLAN), security and access controls are the most often abused, as the technology in place today is limited and easy to compromise. There are a number of WLAN security standards being developed (led by IEEE 802.11 working groups), but they don't solve all the issues in an overall secure WLAN architecture.
This session will cover security challenges of deploying a WLAN, client OS capabilities of security access & controls, the technologies used to meet data privacy requirements of the WLAN, and methodologies used to safeguard network integrity. In addition, there will be a real-time demonstration of an end-to-end secure WLAN.
Biography: Jeff has been in the internetworking business for over 17 years and the computer industry for 24 years. Having designed thousands of networks all over the world, Jeff has worked for both manufacturers and end-users, been an independent network consultant, enjoys "playing" with the latest "cool" technology, and maintains his own computer museum spanning 25 years of working microcomputers.
Jeff is active in the IEEE Fort Worth Section having served in various Executive Committee postions.


If you're connecting from outside of your organizations trusted network, you'll also need to append your API security token to your password.
See Identity Confirmation in the salesforce.com online help for more information.


We are trying to convert our college(NIT Trichy) into a gamified model to give an awesome experience
to the students who are missing the college during online semester.
Currently we've devloped a small portion and are planning to cover the entire campus, and maybe
devlop our own insti game.
Excited?
ComeOn, Join us in making it real. Build the part of institute you love the most. We have used
Blender to make models, and threeJS
for rendering it over the site but will soon move over to Unity.
So, if you know Blender or Unity already, or even if you don't know but are willing to learn and
contribute.
Connect with me over Instagram, or send a mail to<EMAIL_ADDRESS>Also, report any bug, problem or improvement over<EMAIL_ADDRESS>I would like to thank Priyanshu Asthana for his help
and support throughout the project.
Also thanks to my good friends Abhijeet Mishra, Abhinav Gupta and Dhruv Kachhadia for checking
and testing the site.


6 references to PathInfo
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I would love to hear from you, so whether you need a quote, have a question or just want to say hello, please feel free to drop me a line.
If you have a great project in mind and are looking for some professional, talented people to work with, then fill in the Project Planner Questionnaire
I’ ll get back to you very soon to discuss your project and provide you with a custom proposal.
Call me at (917) 584 - 2655
Contact me at<EMAIL_ADDRESS>Find me on LinkedIn
I look foward to hearing from you!


Token
public protocol Token
Token
s are generated when rules are matched (usually, sometime a rule just advances the scan-head). Tokens with a rawValue
of -1 are considered transient, meaning that they should not be included in any construction of an AST. However, they may provide context to the AST.
-
A rawValue that unless the token is transient should be unique
Declaration
Swift
var rawValue : Int
-
transientToken
Extension methodA transient token
Declaration
Swift
public static var transientToken : Token
-
from(oneOf:)
Extension method -
consume(_:)
Extension method -
consumeGreedily(_:)
Extension methodCreate a rule that will consume as many of the characters in the supplied set as possible. No token will be issued.
Declaration
Swift
public func consumeGreedily(_ characterSet:CharacterSet)->Rule
Return Value
A
Rule
that is satisfied if until one of the characters from the set is not at the scan head -
oneOrMore(of:)
Extension method
-
transient
Extension methodTrue if the token is transient
Declaration
Swift
public var transient : Bool


HIT AND RUNWAY A film review by Steve Rhodes Copyright 2001 Steve Rhodes RATING (0 TO ****): **
In Christopher Livingston's HIT AND RUNWAY, two reluctant writing partners, Alex Andero (Michael Parducci), a straight Italian, and Elliot Springer (Peter Jacobson), a gay Jew, join forces to develop a script for a Hollywood producer who wants a new project for Jagger Stevens (Hoyt Richards), his Clint Eastwood-style star. Just in case we miss the similarities, the movie has Jagger say things like "Make my day!" And lest we miss the connection between Elliot's brand of Jewish humor and Woody Allen's, there is a dream sequence in which Elliot sounds just like Woody.
Since Alex, who lives in the basement of his family's restaurant, is just learning the art of screenwriting at a class, he prevails upon Elliot to help him turn his action film, also titled HIT AND RUNWAY, into a comedy as the producer wants. About an undercover cop who investigates international crimes in the world of fashion models, this movie within the movie has the potential for some nice parody but get little screen time. Instead, the film mainly concerns the petty bickering between Alex and Elliot and between Elliot and his young boyfriend, Joey Worciuekowski (Kerr Smith). Joint screenwriting is "kind of like a marriage, only the people have to talk to each other," Elliot warns Alex. Of course, Elliot and Alex's screenwriting marriage will be a highly dysfunctional one that will end in divorce.
Most of the comedy is flat and obvious. As if it is some huge revelation, Elliot explains to Alex that the gay culture has a caste system in which the best looking men only date other similar hunks. This sounds exactly like the straight world, ignoring, of course, Julia Roberts brief marriage with Lyle Lovett, which gave false hopes to average looking men all over the planet.
Like a jet without enough power to lift off the runway, the film just taxis around slowly. Slack pacing is deadly for comedy, especially for one like this in which the good lines are few and far between. Even the best lines aren't anything to write home about. "I think I need something more neutral on the walls," Joey says in the film's best interchange. "You could always hang up a map of Switzerland," Elliot suggests as a solution.
HIT AND RUNWAY runs a very long 1:48. It is rated R for language, sexual content and some violent images and would be acceptable for most teenagers.
Web: http://www.InternetReviews.com Email<EMAIL_ADDRESS>Want free reviews and weekly movie and video recommendations via Email? Just send me a letter with the word "subscribe" in the subject line.
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


HOFF NOTE
Hasselhoff says he’d go to a Partick Thistle match..’if they ever come to the UK’
by David FowlerDAVID HASSELHOFF insists he would love to take in a Partick Thistle match - if they ever come to the UK.
The former Baywatch and Knight Rider star made a gaffe as he didn't know the Championship side play in Scotland.
The Hoff struck up a fondness for the Thistle after making a joke about them during a panto appearance in Glasgow.
But he has clearly not brushed up on where the team play as he made an error talking about the club on Zoe Ball's Radio 2 breakfast show.
When reading out questions from listeners for Hasselhoff, host Zoe Ball asked if he would ever go to watch a Partick Thistle match.
And the Hoff was certain he would as he insisted he'd love to watch them in action.
He said: "If Partick Thistle comes to the UK I would definitely go and see them.
"I love Partick Thistle.

"I the said 'what's a Partick Thistle?' and they showed me the team and I fell in love with the guys because its been around for a long time.
"They actually won two or three games in a row when I supported them."


secondary damage
`Prev `__
S
`Next `__
--------------
**secondary damage**: n.
When a fatal error occurs (esp. a `*segfault* `__) the
immediate cause may be that a pointer has been trashed due to a previous
`*fandango on core* <../F/fandango-on-core.html>`__. However, this
fandango may have been due to an *earlier* fandango, so no amount of
analysis will reveal (directly) how the damage occurred. “The data
structure was clobbered, but it was secondary damage.” By extension, the
corruption resulting from ``N`` cascaded fandangoes on core is
‘\ ``N``\ th-level damage’. There is at least one case on record in
which 17 hours of `*grovel* <../G/grovel.html>`__\ ling with **adb**
actually dug up the underlying bug behind an instance of seventh-level
damage! The hacker who accomplished this near-superhuman feat was
presented with an award by his fellows.
--------------
+-----------------------------------------+----------------------------+-----------------------------------------------+
| `Prev `__ | `Up <../S.html>`__ | `Next `__ |
+-----------------------------------------+----------------------------+-----------------------------------------------+
| second-system effect | `Home <../index.html>`__ | security through obscurity |
+-----------------------------------------+----------------------------+-----------------------------------------------+


The NHS Covid-19 App has advised you that you have visited a venue that had had a sever Covid-19 outbreak
If it's identified that people with coronavirus (COVID-19) have been to a venue, it may be decided that anyone who was at that venue on the same day will get an alert. This is so people know that they may have been at risk and can look out for any symptoms. The alert will say:
"You may have been exposed to coronavirus at a venue you recently visited. Tap to see the details."
This alert is not telling you to self-isolate. It's asking you to be aware and to get a test if you develop symptoms.
Read more about why you might receive this alert.
Page last reviewed: 21 December 2020
Next review due: 21 December 2020


{% extends "layout.html" %} {% block content %}
This is a starter Flask template. It includes Bootstrap 4, jQuery 3, Flask-SQLAlchemy, WTForms, and various testing utilities out of the box.
Learn more »
What this site is here for.
Blog Page »
A handful of useful links, resources and other content.
Misc. Stuff Page »
Various small projects or toy examples.
Chris' Github »


CrankyCritic® movie reviews: The Best Man Rated [R], [116] minutes Starring Taye Diggs, Nia Peeples Written and Directed by Malcolm D. Lee website: http://www.best-man.com
IN SHORT: A Rockin' African-American targeted date flick.
We begin with Harper Stewart (Taye Diggs), a novelist just months away from the publication of "Unfinished Business," his first book. Based on his friends from college, the writing is so steamy that Oprah Winfrey wants to feature it in her book club. Not only does success beckon, so does his beautiful girlfriend Robin (Sanaa Lathan), a caterer whose business, too, is starting to take off. Three pending jobs is keeping her from journeying from Chicago to New York, for the wedding of two of Harper's friends. Truth of the matter is, they're his friends. Robin'll just catch up at the wedding. Besides, she's getting just a bit discouraged that her beau can't make the slightest move towards either commitment or saying those three little words.
 With Robin away until the day of the wedding, Jordan determines that she's going to nail Harper, one way or the other.
The New York weekend means reunion for this crew. Thanks to a prepublication copy of Harper's book obtained, and circulated among all concerned, by teevee producer Jordan, old secrets come out in the open. Each real person sees themselves in the book's fictional characters and when the groom finally gets his turn, let's just say his eyes are opened to the fact that his virginal bride may not be. A joyful weekend escalates into something much more as the groom wants vengeance and each of the other single men get to reevaluate their own relationships.
That doesn't give anything away as writer/director Malcolm D. Lee fashions strong characters and the actors make you feel as if this group had indeed been friends for years. Then again, the African-American acting community isn't a very large one so they may actually be friends. And, yes, I may be a middle aged white guy who ears can't follow the vocal rhythms; I didn't catch half the lingo, but there's enough here that when push came to shove and the film hit its edge of the seat climax -- I know, for a comedy that's a bit of a stretch to imagine, but that's what it was -- I was there, baby.
On average, a first run movie ticket will run you Eight Bucks. Were Cranky able to set his own price to The Best Man, he would have paid...
$6.00
Much better than the average dateflick. The Best Man is not the kind of African-American targeted movie that may not be accessible enough to white audiences to cross over big time, but I'm an old fogey. The kidlets who speak in rap rhythms may get this with no problem. With dating couples all around me, and running commentary on the action from all of 'em (there are advantages to sitting with "real" people), The Best Man wasn't hard to follow. Just watching the crowd, as I've done at other A-A starring flicks, left me with the impression that this is bigger and better than the average flick targeted at them.
The Cranky Critic® is a Registered Trademark of, and Copyright © 1999 by, Chuck Schwartz. All Rights Reserved. Cranky on the web at www.crankycritic.com
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


--- layout: newsstory title: DRAW KINGS match: Friendly Yeltz 1 Lancaster 1 ---
Another day, another friendly. We're having a consistent run in the pre-season warm-up, with yet another 1-1 draw with our goal again being scored by Simon Hollis.
The results of our friendlies are generally misleading regarding our performance in the rest of the season, so I'm not sure what all this means. However there's only a couple of games left before the kick-off proper, with Hednesford the visitors on Tuesday and Nuneaton at The Grove on Saturday.
Voting's progressing nicely on this year's election to the Yeltz Hall of Fame , but if you haven't voted yet please pop along and have your say.
Lancaster opened the scoring in the 8th minute with their first attack when former Dundee striker Mike Yates turned to score at the second attempt after initially striking the post. Simon Hollis was gifted a 51st minute equaliser when visiting young goalkeeper Richard Whiteside miscued a clearance straight at him and he duly struck home into the bottom corner.
Tall striker Steve Jones went close with a header for Lancaster and Yates brought a good save from Mark Gayle at the start of the second half. Leon Mitchell and Stuart Skidmore forced saves from Whiteside and late on Lancaster defender Farrell Kilbane - brother of former WBA favourite Kevin - headed just wide.


*/ --> */ -->
Happiest Birthday Khucchu !
Hold yourself together for a very magnificent walk across all the people who love you endlessly and are great part of your life.
Happy Birthday Khuccu Bete mere aur Papa ke taraf se aapko bohot saara pyar.
Badi kanta's message
Papa's Message !
Papa's Message !
Papa's Message !
For All The Days We Lived Togther and Enjoyed Together
abc's message
abc's message
abc's message
abc's message
For All The Days We Lived Togther and Enjoyed Together
abc's message
abc's message
For All The Days We Lived Togther and Enjoyed Together
abc's message
abc's message
Badi kanta's message
Papa's Message !
“Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.”
“Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.”


A case study in validating a Security's Share Price based on comparison of pricing trends vs fundamental and technical data.
 The empowerment of the individual investor has largely come from the momentum of the recovering market, but also from an increased access to financial information and agency. As the pool of competitors in the "Fintech" field increases, so does the information and agency at the disposal of the individual investor. However, as this happens, an opposite and potentially equal effect is observed - the amount of misinformation and agency at their disposal, also, increases.
With the newfound volatility in the markets due to political uncertainty, speculation, and geo-political events, the question of discerning whether a security's price is value-justified becomes even more important. That is to say that a security worthy of a long position would be backed by healthy foundational data, and would not be generally correlated to media forecasts, or public speculations.
For this case study, we'll analyze TransDigm Group (TDG). Having delivered consistent growth for the past 5 years, the company had several major dips in its share price during 2017. The hypothesis we'll interrogate is that these dips, and most major, drastic swings in share price are due to media noise, as opposed to an actual change in a company's value.
The security to analyze, along with the date ranges for analysis are defined. A long, and short term period for analysis is defined to optimize computational resources during early research and data exploration.
# Define Global Vairables
stock_symbol = 'TDG'
asset = symbols(stock_symbol)
analysis_start = '2013-01-01'
analysis_start_short = '2017-01-01'
analysis_end = '2018-04-01'
# Pipeline imports
from quantopian.pipeline.filters import StaticAssets
from quantopian.pipeline import Pipeline
from quantopian.research import run_pipeline
from quantopian.research import prices, returns, symbols
# Fundamental & Technical Data
from quantopian.pipeline.factors import Returns
from quantopian.pipeline.data import Fundamentals
from quantopian.pipeline.data.psychsignal import stocktwits, twitter_withretweets
# Computing library imports
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy import stats
Historic pricing & returns data is imported and visualized based on the long-term period defined above. DataFrames are defined for cross referencing to other auxillary data.
# Query historical pricing data for TDG
tdg_close = prices(assets = asset, start = analysis_start,end = analysis_end,)
# Compute 20 and 50 day moving averages on pricing data
tdg_sma20 = tdg_close.rolling(20).mean()
tdg_sma50 = tdg_close.rolling(50).mean()
# Combine results into a pandas DataFrame and plot
tdg_pricing_dataframe = pd.DataFrame({
stock_symbol: tdg_close,
'SMA20': tdg_sma20,
'SMA50': tdg_sma50})
# Query returns data for TDG
tdg_returns = returns(assets = symbols(stock_symbol),start = analysis_start,end = analysis_end,)
# Plot pricing data
tdg_pricing_dataframe.plot(title='TDG Close Price / SMA Crossover');
In this section, datasets representing human behavioral factors such as preference, sentiment, and communication will be defined so that they may be later correlated to the security's performance, and fundamental data in order to determine whether public opinion, or strong fundamentals is driving share pricing.
Historical fundamental data is pulled from Zipline/Quantopian's API which leverages Morningstar data.
The technical data is pulled from the Zipline/Quantopian Research API.
The techincal datasets are:
# Pipeline definition
def make_fundamentals_pipeline():
base_universe = StaticAssets([asset])
#Fundamentals
returns = Returns(window_length=2)
pe_ratio = Fundamentals.pe_ratio.latest
current_assets = Fundamentals.current_assets.latest
current_debt = Fundamentals.current_debt.latest
enterprise_value = Fundamentals.enterprise_value.latest
eps_earnings = Fundamentals.basic_eps_earnings_reports.latest
avg_earnings = Fundamentals.basic_average_shares_earnings_reports.latest
accrued_expenses = Fundamentals.current_accrued_expenses.latest
current_liabilities = Fundamentals.current_liabilities.latest
return Pipeline(
screen = base_universe,
columns={
'daily_returns': returns,
'pe_ratio': pe_ratio,
'current_assets' : current_assets,
'current_debt' : current_debt,
'eps_earnings' : eps_earnings,
'enterprise_value' : enterprise_value,
'avg_earnings' : avg_earnings,
'accrued_exspenses' : accrued_expenses,
'liabilities' : current_liabilities})
def make_technicals_pipeline():
base_universe = StaticAssets([asset])
#Technicals
returns = Returns(window_length=2)
sentiment_stocktwits = stocktwits.bull_minus_bear.latest
sentiment_twitter = twitter_withretweets.bull_minus_bear.latest
msg_volume_stocktwits = stocktwits.total_scanned_messages.latest
msg_volume_twitter = twitter_withretweets.total_scanned_messages.latest
return Pipeline(
screen = base_universe,
columns={
'daily_returns': returns,
'sentiment_stocktwits': sentiment_stocktwits,
'sentiment_twitter': sentiment_twitter,
'msg_volume_stocktwits' : msg_volume_stocktwits,
'msg_volume_twitter' : msg_volume_twitter})
# Technicals Pipeline execution - Short Term
technicals_output = run_pipeline(
make_technicals_pipeline(),
start_date = analysis_start_short,
end_date = analysis_end)
# Fundamentals Pipelien execution - Long Term
fundamentals_output = run_pipeline(
make_fundamentals_pipeline(),
start_date = analysis_start,
end_date = analysis_end)
In this section, The Pearson Correlation Coefficient (PPMCC) is used to validate the observed plotted and tablulated results. PPMCC or the bivariate correlation, is a measure of the linear correlation between two variables sets of data. The p-value roughly indicates the probability of an uncorrelated system producing datasets that have a Pearson correlation at least as extreme as the one computed from these datasets.
The datasets from media outlets are first compared against each-other to determine any innate preferences, biases, or other correlations between them. Although volume of data/traffic may differ, a comparison of healthy media platforms would suggest a recognition of the same patterns between both - similar sentiment values, changes in message volume, etc.
# Define technicals output dataframe
tdg_technical_output = technicals_output.xs(asset,level=1)
#tdg_technical_output.plot(subplots=True);
# Plot message volume to compare between Stocktwits and Twitter Datasets
tdg_technical_output.msg_volume_stocktwits.plot(title='Message Volume Comparison', label='Stocktwits Msg Volume', legend=True, color='Red')
tdg_technical_output.msg_volume_twitter.plot(secondary_y=True, label="Twitter Msg Volume", legend=True)
# Get Pearson Correlation Coefficient
x = tdg_technical_output.msg_volume_stocktwits.values.ravel()
y = tdg_technical_output.msg_volume_twitter.values.ravel()
ppmcc = stats.pearsonr(x, y)
print "PPMCC is {}" .format(ppmcc[0])
print "P-Value is {}" .format(ppmcc[1])
# Plot sentiment data to compare between Stocktwits and Twitter Datasets
tdg_technical_output.sentiment_stocktwits.plot(title='Sentiment Comparison',label='Stocktwits Sentiment', legend=True, color='Red')
tdg_technical_output.sentiment_twitter.plot(secondary_y=True, label="Twitter Sentiment", legend=True)
# Get Pearson Correlation Coefficient
x = tdg_technical_output.sentiment_stocktwits.values.ravel()
y = tdg_technical_output.sentiment_twitter.values.ravel()
ppmcc = stats.pearsonr(x, y)
print "PPMCC is {}" .format(ppmcc[0])
print "P-Value is {}" .format(ppmcc[1])
print tdg_technical_output.sentiment_stocktwits.mean()
print tdg_technical_output.sentiment_twitter.mean()
Based on the the case above, there is a correlation between message volume on both platforms, however there is also a large disparity between user sentiment (twice as high on Twitter vs Stocktwits). This may be due to the userbase demographic of either platform, or an underlying opinionated framework within the platform itself. This suggests that message volume may be a reliable dataset from either platform, but sentiment may not be due to the platform-specific differences previously mentioned.
In this section, we'll look for correlation between media sentiment/message volume, and daily returns. In order to do this, the data will be seperated into two categories - Daily Positive Returns, and Daily Negative Returns. This is done so that we can compare correllation between the datasets in a scalar way, and avoid negative values interfering with the PPMCC computation.
# Define normalization function - remap all values in a dataset between 0 and 1
def normalize(df):
result = df.copy()
for feature_name in df.columns:
max_value = df[feature_name].max()
min_value = df[feature_name].min()
result[feature_name] = (df[feature_name] - min_value) / (max_value - min_value)
return result
# Seperate DataFrames between Positive and Negative daily returns
positive_returns_table = normalize(tdg_technical_output.loc[tdg_technical_output['daily_returns'] > 0])
negative_returns_table = tdg_technical_output.loc[tdg_technical_output['daily_returns'] < 0]
# Take the absolute values of the Negative Returns table
negative_returns_table['daily_returns'] = negative_returns_table['daily_returns'].apply(np.abs)
negative_returns_table = normalize(negative_returns_table)
# Visualisation Options
#negative_returns_table.head()
#positive_returns_table.plot(subplots=True)
#negative_returns_table.plot(subplots=True)
# Plot data
positive_returns_table.daily_returns.plot(label='Positive Returns', legend=True, color='Red')
positive_returns_table.msg_volume_twitter.plot(secondary_y=True, label="Message Twitter", legend=True)
positive_returns_table.msg_volume_stocktwits.plot(secondary_y=True, label="Message Stocktwits", legend=True)
# Get Pearson Correlation Coefficient
x = positive_returns_table.daily_returns.values.ravel()
for column in positive_returns_table:
y = positive_returns_table[column].values.ravel()
pmc = stats.pearsonr(x, y)
print "{} Correlation to Returns is {}".format(column, pmc[0])
negative_returns_table.daily_returns.plot(label='Negative Returns', legend=True, color='Red')
negative_returns_table.msg_volume_twitter.plot(secondary_y=True, label="Message Twitter", legend=True)
negative_returns_table.msg_volume_stocktwits.plot(secondary_y=True, label="Message Stocktwits", legend=True)
# Get Pearson Correlation Coefficient
x = negative_returns_table.daily_returns.values.ravel()
for column in negative_returns_table:
y = negative_returns_table[column].values.ravel()
pmc = stats.pearsonr(x, y)
print "{} Correlation to Returns is {}".format(column, pmc[0])
In this case, message volume is much more strongly correlated to negative daily returns, than positive daily returns. Sentiment is found to have little to no correlation. This would suggest that media traffic/volume has a stronger negative effect, and that the specifics of the media message have little to no effect.
We can take this investigation even further by looking at the single worst days for stock price, and correlating them to that day's media data. If there is a strong correlation, it would suggest that the most severe drops in share price are due to media volume and public opinion, rather than tangible changes in the security's value.
# Create dataframe containing largest single day negative swings in stock price/returns
large_negative_swings = negative_returns_table.loc[negative_returns_table['daily_returns'] > 0.15]
# Plot negative swings vs media message volume
large_negative_swings.daily_returns.plot(title='Major Negative Swings', label='Negative Swings', legend=True, color='Red')
large_negative_swings.msg_volume_twitter.plot(secondary_y=True, label="Message Twitter", legend=True)
large_negative_swings.msg_volume_stocktwits.plot(secondary_y=True, label="Message Twitter", legend=True)
# Get Pearson Correlation Coefficient
x = large_negative_swings.daily_returns.values.ravel()
for column in large_negative_swings:
y = large_negative_swings[column].values.ravel()
pmc = stats.pearsonr(x, y)
print "{} Correlation to Returns is {}".format(column, pmc[0])
# Ouptut top x% of worst daily swings taken into account
a = float(len(large_negative_swings))
b = float(len(negative_returns_table))
print ""; print "Analyzing Top {}% Largest Negative Daily Swings".format((a/b)*100)
In this case, when analyzing the top 25% worst days for holding the security, there is a strong apparent correlation to media message volume. It is only marginally lower than the correlation between the full dataset (100% of all negative days) and secuirty price.
The analysis in this section is based on the following principles:
# Define fundamentals output dataframe
tdg_fundamentals_output = fundamentals_output.xs(asset,level=1)
# Plot pricing vs Enterprise Value to compare trends
tdg_pricing_dataframe.TDG.plot(label='Price', legend=True, color='Red')
tdg_fundamentals_output.enterprise_value.plot(secondary_y=True, label="Enterprise Value", legend=True)
x = tdg_pricing_dataframe.TDG
x = x.values.ravel()
y = tdg_fundamentals_output.enterprise_value
y = y.values.ravel()[:-1]
ppmcc = stats.pearsonr(x, y)
print "PPMCC is {}" .format(ppmcc[0])
print "P-Value is {}" .format(ppmcc[1])


PRIMAL FEAR A film review by Steve Rhodes Copyright 1996 Steve Rhodes
RATING (0 TO ****): ***
PRIMAL FEAR is an excellent whodunit full of lots of plot twists and surprises. Some things you think are clearly so, aren't; whereas other obvious facts are actually true. The script by Ann Biderman and Steve Shagan and based on the novel by William Diehl is like the maze at a fun house. Some paths seem to work and do whereas others you think you see clearly but don't. Other than the great plot, there are two outstanding performances by Edward Norton and Richard Gere. All of this notwithstanding, the movie, because of the direction by Gregory Hoblit, is less than the sum of its parts and overall is not near as good a movie as it could have been or should have been.
As the movie starts, rich and famous lawyer Martin Vail (Richard Gere) is explaining his legal philosophy to a reporter who is writing an article on Vail's techniques.  Vail helps out little guys too. One of these, Joey Pinero (Steven Bauer from THIEF OF HEARTS), has Vail worried he will be murdered by some important people in the corrupt Chicago city government, but Joey tells him not to be concerned since, "How are they going to kill a man who never sleeps?"
Soon the big crime happens. In a gory scene the beloved Archbishop Rushman (Stanley Anderson) is stabbed and murdered in his bedroom. From the house the police chase Aaron Stampler (Edward Norton). His clothes are covered in blood and the TV news covers the chase live from their helicopters. Vail sees the TV coverage and decides he will try the case pro bono for Stampler. Stampler is surprised but agrees.
Vail reads Stampler the riot act on how to behave in court telling him, "I don't have to believe you. I don't care if you are innocent.  He goes on to order him, "I speak. You do not speak.  He better look innocent and Vail better be a brilliant attorney because it looks like an open and shut case if there ever was one.
The prosecutor is Vail's old flame Janet Venable (Laura Linney). Linney's performance as his ex-girlfriend works, but she is not convincing as a prosecutor. She should have spent some time watching Marcia Clark tapes. As the defense's psychiatrist, Dr. Molly Arrington, is the wonderful lead from FARGO Frances McDormand. Certainly not her best work, but well done.
As the trial goes on, Vail periodically talks more with the magazine reporter. Vail tells him, "I chose to believe in the basic goodness of people. Some basically good people do some very bad things." When he hits a low point in the trial he tells him, "You been saving up for a rainy day? Guess what it's raining."
What I have told you thus far, just sets up the situation. I will not reveal more. In fact Gere demanded that critics seeing the film early sign a contract not to reveal the ending. I will not reveal it other than to say I did not guess it, and, moreover, I thought it was the best part of the movie. So if you hate the movie, don't leave early and miss the best part.
Besides the already mentioned actors, John Mahoney is good as a slimeball political boss and ex-lead prosecutor named John Shaughnessy. For some reason Alfre Woodard gives a performance totally on autopilot as Judge Miriam Shoat. She acts like she is just there to read her lines, and they should have paided her extra if they wanted her to put in any feeling.
Gere gives one of his best performances ever. Only in MR. JONES, which most people have never seen, but should, do I remember him doing better. He is so suave at first.  Later as the trial is not going well, he is vulnerable and despondent. Even better than Gere's, is Norton's performance, which I expect to get him an Academy Award nomination for best supporting actor. He is frighten, naive, respectful, and many other less obvious characteristics all at once.
The film has strong editing by David Rosenbloom. Notice the way he cuts back and forth in a scene to create a seamless feeling of tension. Each frame builds on the other like pieces in a jigsaw puzzle. The music by James Newton Howard is bold and dramatic.
With few exceptions the components of a great thriller and courtroom drama are in place, and yet, the director came up short. Although I liked what I saw, the picture is frequently not believable enough. The director has his actors too removed. They do not engage the audience and pull them into the drama to the extent they should. In the right hands, this material could have been made into a **** film. Two outstanding performances and a terrific plot. Don't get me wrong; as done, this is an excellent movie, but I wish it had lived up to its potential.
PRIMAL FEAR runs 2:10 but doesn't feel long at all. It is rated R for one gory scene with lots of pictures of it to see later, a little sex and brief nudity. I think the film would be fine for teenagers. I recommend the picture and give it ***.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEW WRITTEN ON: April 11, 1996
Opinions expressed are mine and not meant to reflect my employer's.
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


Product profiles
Meet and hear from product managers working in health. (Please note these are only example/demo profiles from YouTube at the moment)
Associate product manager - Brittany Cheng
Product managers - Ed Chan & Mo Azim
Senior product manager - Sarah
Lead product manager - Ritcha
Head of product - Sika
Updated: December 2019


Lewis Honey Badgers Klump Project
AJAX Call To ALL Our JSONs
HERE
Page for Personal JSON File click
HERE
Page for Team JSON File Conjoined click
HERE
Page for Individual Team JSON File click
HERE
Page for Super Yahtzee click
HERE


Submit Homework {{hw-helper.hwNum}} Self Grades
Form Data
OR copy and paste the output below to selfgrades-{{hw-helper.hwNum}}.txt and upload to the "Homework {{hw-helper.hwNum}} Self Grade" assignment on Gradescope! Double check that the file name and contents match what's seen below and that all fields are filled out. Chrome or Firefox will warn you if you've missed a form field, but browsers like Safari won't :(. After uploading, verify that the Gradescope autograder correctly calculated your score. If it didn't, double check that the JSON is valid, and/or post on Piazza for help.


- Building this website
- Settling down in my new apartment (still waiting for the table to arrive...) and building new routines around Coloane, the new island I'm living on
- Researching how to invest the money I made selling my house
- Researching for a new project intented for the Chinese market
- Reading books, mainly about psychology and philosophy
- Working on my next psychology/philosophy article for From OK to Great
- Writing short fiction at sleeplessmind.info
- Building new proofs for my Macau Immigration case with lawyers
- Helping Toastmasters members on their leadership and communication tracks as VP of Education at the Macau PAG Toastmasters club
- Working on the Toastmasters Macau Conference which will happen from Nov 4 to Nov 6 2016 in Macau


Project :: Tower of Debt
This started as a simple kata in a few different languages - calculating when a loan will be paid off. I wanted to experiment with using Unity as an interface to some kind of computational code rather than a game. This is the result: a visual representation of your debt, see how far it stretches into the sky! Each level of the tower represents a month it will take you to remove yourself from the bank's manacles. Climb the tower, if just to see how far it really goes, then look down again - can you still see the mountains? Unity as an interface was a little clunky and somewhat immature, though it got the job done with a little code to plumb it together.
Source => http://github.com/retroburst/Kata/tree/master/Unity/Kata.LoanPrediction.Unity
External Sources
- Textures sourced from Spiral Graphics, used under the royalty free license.
- 'YuzuPop' font sourced from black-yuzunyan.
- Sans and serif fonts sourced from GNU.
- Skybox sourced from Unity Asset Store.
Default Bindings
- Movement - Up and Down Arrows
- Start Over / Change Input Values - Esc
How to Win
Does the tallest or the shortest tower win?Notes
This hybrid application will store your last entered values, so you can return to marvel at your tower as often as you like. Note that the values are stored in your browser's cache locally, nothing you enter gets transmitted anywhere. As this is a WebGL build it runs in your browser - as such - if you try to fry it by entering ridiculous input - your browser is all that suffers.WebGL Build
At this stage Unity WebGL player is starting to support mobile device browsers but that functionality can sometimes be patchy. For best results, play the WebGL build in any decent modern desktop browser that supports HTML5. Touch input is now be supported in the WebGL player as of Unity 5.1 (2015-06-16).Use Tower of Debt in Unity WebGL Player


The following tests give access to basic information about the current invocation.
inv(
Inv)
depth(
Depth)
goal(
MGoal)
subsumes(
MGoal,
CurrentGoal)
test (subsumes/2
is defined
in library(terms)
, see lib-terms).
pred(
MFunc)
:
F/
N) of the current goal.
The unification required for matching is carried out.
module(
Module)
prolog
.
goal_private(
GoalPriv)
exited(
Boolean)
true
if the current invocation has exited,
and false
otherwise. This condition is mainly used for looking at
past execution states.
parent_inv(
Inv)
ancestor(
AncGoal,
Inv)
Notes:
The debugger-parent of a goal is the youngest ancestor of the goal present on the backtrace. This will differ from the ordinary parent if not all goals are traced, e.g. if the goal in question is reached in zip mode. A debugger-ancestor of a goal is any of its ancestors on the backtrace.
In the goal
and ancestor
tests above, there is a given
module qualified goal template, say ModT:
GoalT,
and it is matched against a concrete goal term
Mod:
Goal in the execution state. This matching is carried
out as follows:
:
Goal and
ModT:
Goal is an exported variant of the other, or both are
imported from the same module.
Similar matching rules apply for predicate functors, in the
pred
condition. In this test the argument holds a
module qualified functor template, say
ModT:
Name/
Arity, and this is matched against a
concrete goal term Mod:
Goal in the execution
state.
/
Arity, and this unification is carried out.


Terry
home
about
projects
contact
contact
Trying to reach me? you can send me an email at
<EMAIL_ADDRESS>+254 710 347 835


Cheesecave
Temperature
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Setpoint:
Date:
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In a distributed system with minimal contention to the concurrent threads reading or updating from the members, you can use rebalancing to dynamically increase or decrease your data and processing capacity.
Rebalancing is a member operation. It affects all partitioned regions defined by the member, regardless of whether the member hosts data for the regions. The rebalancing operation performs two tasks:
- If the configured partition region redundancy is not satisfied, rebalancing does what it can to recover redundancy. See Configure High Availability for a Partitioned Region.
- Rebalancing moves the partitioned region data buckets between host members as needed to establish the most fair balance of data and behavior across the distributed system.
For efficiency, when starting multiple members, trigger the rebalance a single time, after you have added all members.
Note:
If you have transactions running in your system, be careful in planning your rebalancing operations. Rebalancing may move data between members, which could cause a running transaction to fail with a TransactionDataRebalancedException
. Fixed custom partitioning prevents rebalancing altogether. All other data partitioning strategies allow rebalancing and can result in this exception unless you run your transactions and your rebalancing operations at different times.
Kick off a rebalance using one of the following:
gfsh
command. First, starting agfsh
prompt and connect to the Geode distributed system. Then type the following command:gfsh>rebalance
Optionally, you can specify regions to include or exclude from rebalancing, specify a time-out for the rebalance operation or just simulate a rebalance operation. Type
help rebalance
or see rebalance for more information.API call:
ResourceManager manager = cache.getResourceManager(); RebalanceOperation op = manager.createRebalanceFactory().start(); //Wait until the rebalance is complete and then get the results RebalanceResults results = op.getResults(); //These are some of the details we can get about the run from the API System.out.println("Took " + results.getTotalTime() + " milliseconds\n"); System.out.println("Transfered " + results.getTotalBucketTransferBytes()+ "bytes\n");
You can also just simulate a rebalance through the API, to see if it’s worth it to run:
ResourceManager manager = cache.getResourceManager();
RebalanceOperation op = manager.createRebalanceFactory().simulate();
RebalanceResults results = op.getResults();
System.out.println("Rebalance would transfer " + results.getTotalBucketTransferBytes() +" bytes ");
System.out.println(" and create " + results.getTotalBucketCreatesCompleted() + " buckets.\n");
How Partitioned Region Rebalancing Works
The rebalancing operation runs asynchronously.
By default, rebalancing is performed on one partitioned region at a time. For regions that have colocated data, the rebalancing works on the regions as a group, maintaining the data colocation between the regions.
You can optionally rebalance multiple regions in parallel by setting the gemfire.resource.manager.threads
system property. Setting this property to a value greater than 1 enables Geode to rebalance multiple regions in parallel, any time a rebalance operation is initiated using the API.
You can continue to use your partitioned regions normally while rebalancing is in progress. Read operations, write operations, and function executions continue while data is moving. If a function is executing on a local data set, you may see a performance degradation if that data moves to another host during function execution. Future function invocations are routed to the correct member.
Geode tries to ensure that each member has the same percentage of its available space used for each partitioned region. The percentage is configured in the partition-attributes
local-max-memory
setting.
Partitioned region rebalancing:
- Does not allow the
local-max-memory
setting to be exceeded unless LRU eviction is enabled with overflow to disk. - Places multiple copies of the same bucket on different host IP addresses whenever possible.
- Resets entry time to live and idle time statistics during bucket migration.
- Replaces offline members.
When to Rebalance a Partitioned Region
You typically want to trigger rebalancing when capacity is increased or reduced through member startup, shut down or failure.
You may also need to rebalance when:
- You use redundancy for high availability and have configured your region to not automatically recover redundancy after a loss. In this case, Geode only restores redundancy when you invoke a rebalance. See Configure High Availability for a Partitioned Region.
- You have uneven hashing of data. Uneven hashing can occur if your keys do not have a hash code method, which ensures uniform distribution, or if you use a
PartitionResolver
to colocate your partitioned region data (see Colocate Data from Different Partitioned Regions). In either case, some buckets may receive more data than others. Rebalancing can be used to even out the load between data stores by putting fewer buckets on members that are hosting large buckets.
How to Simulate Region Rebalancing
You can simulate the rebalance operation before moving any actual data around by executing the rebalance
command with the following option:
gfsh>rebalance --simulate
Note:
If you are using heap_lru
for data eviction, you may notice a difference between your simulated results and your actual rebalancing results. This discrepancy can be due to the VM starting to evict entries after you execute the simulation. Then when you perform an actual rebalance operation, the operation will make different decisions based on the newer heap size.
Automated Rebalancing
The experimental automated rebalance feature triggers a rebalance operation based on a time schedule.


‘Over 615’ Surrendered Daesh Members: MoD
The high number of surrenders, which includes women and children, is due to ramped-up military operations, said MoD.
by TOLOnews.comEighteen Daesh members accompanied by 24 women and 31 children surrendered to Afghan forces on Friday in Achin district, Nangarhar province, the Defense Ministry said in a statement on Saturday.
The total number of Daesh militants and family members who have surrendered to Afghan forces in the past two weeks is “over 615,” according to the Defense Ministry, which attributes the recent mass surrenders to increased operations against “terrorists” by security forces.
On Thursday, 82 Daesh fighters handed over their weapons and surrendered to Afghan security forces in Achin district of Nangarhar, and were accompanied by 51 women and 96 children.
On Wednesday, ‘at least 300’ Daesh members, including women and children, surrendered to Afghan Special Forces in Nangarhar, according to Commander Waliullah, the Army Special Forces commander in Achin district.
According to Abdulhaq Omeri, a TOLOnews reporter, a number of those 300 Daesh members are Pakistani citizens. But interviews with Daesh members indicate that fighters come from a variety of countries.
“There were Daesh members from Tajikistan, Uzbekistan, Russia, Iran, Kurdistan and Iranian Baluchistan, and they were staying in our guest house, but not for a long time. After having a meal or resting for a night they would move on to other areas,” said Abdul Wahid, 35, a former Daesh member from Afghanistan’s Farah Province, who surrendered among the 300 on Wednesday.


If you have a project that you want to get started with and need my help, of just fancy saying 'Hello', then get in touch.


Resume Review Day is an event hosted by the College of Engineering and Applied Science Tribunal in order to help prepare students for the Career Fair. This event gives students the opportunity to sign up for minute intervals to receive resume feedback from industry leaders and gives students the ability to network with employers before the Technical Career Fair.
It is also used as a chance for employers to build student relations, as well as get face-to-face time with additional students that might be seeking a co-op at no cost to them. The event will take place on from with a break at .
Please provide the following information about yourself and your company. If you are registering for someone else, please ensure that we have the information of the person who will be attending the event, as the specified email address and phone number will be used for all future contact regarding the Resume Review Day.
The last day to sign up will be on .
If you have any questions, please contact us at .
The registration is currently closed. Return soon for the next Resume Review Day!


|
| Local Methods | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
Properties
| Name | Type | Description |
|---|---|---|
| None |
Methods
| Methods defined in this Managed Object |
|---|
| ListProcessesInGuest, ReadEnvironmentVariableInGuest, StartProgramInGuest, TerminateProcessInGuest |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the GuestProcessManager used to make the method call. |
| vm P | ManagedObjectReference
to a VirtualMachine |
Virtual machine to perform the operation on.
|
| auth | GuestAuthentication |
The guest authentication data. See
GuestAuthentication.
|
| pids* | xsd:long[] |
If set, only return information about the specified processes.
Otherwise, information about all processes are returned.
If a specified processes does not exist, nothing will
be returned for that process.
|
Return Value
| Type | Description |
|---|---|
| GuestProcessInfo[] | The list running processes is returned in an array of GuestProcessInfo structures. |
Faults
| Type | Description |
|---|---|
| GuestComponentsOutOfDate | Thrown if the guest agent is too old to support the operation. |
| GuestOperationsFault | Thrown if there is an error processing a guest operation. |
| GuestOperationsUnavailable | Thrown if the VM agent for guest operations is not running. |
| GuestPermissionDenied | Thrown if there are insufficient permissions in the guest OS. |
| InvalidGuestLogin | Thrown if the the guest authentication information was not accepted. |
| InvalidPowerState | Thrown if the VM is not powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the virtual machine's current state. |
| OperationDisabledByGuest | Thrown if the operation is not enabled due to guest agent configuration. |
| OperationNotSupportedByGuest | Thrown if the operation is not supported by the guest OS. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the virtual machine is busy. |
Events
| Type | |
|---|---|
| None |
If the authentication uses interactiveSession, then the environment being read will be that of the user logged into the desktop. Otherwise it's the environment of the system user.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the GuestProcessManager used to make the method call. |
| vm P | ManagedObjectReference
to a VirtualMachine |
Virtual machine to perform the operation on.
|
| auth | GuestAuthentication |
The guest authentication data. See
GuestAuthentication.
|
| names* | xsd:string[] |
The names of the variables to be read. If not set, then
all the environment variables are returned.
|
Return Value
| Type | Description |
|---|---|
| xsd:string[] | A string array containing the value of the variables, or all environment variables if nothing is specified. The format of each string is "name=value". If any specified environment variable isn't set, then nothing is returned for that variable. |
Faults
| Type | Description |
|---|---|
| GuestComponentsOutOfDate | Thrown if the guest agent is too old to support the operation. |
| GuestOperationsFault | Thrown if there is an error processing a guest operation. |
| GuestOperationsUnavailable | Thrown if the VM agent for guest operations is not running. |
| GuestPermissionDenied | Thrown if there are insufficient permissions in the guest OS. |
| InvalidGuestLogin | Thrown if the the guest authentication information was not accepted. |
| InvalidPowerState | Thrown if the VM is not powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the virtual machine's current state. |
| OperationDisabledByGuest | Thrown if the operation is not enabled due to guest agent configuration. |
| OperationNotSupportedByGuest | Thrown if the operation is not supported by the guest OS. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the virtual machine is busy. accepted by the guest OS. |
Events
| Type | |
|---|---|
| None |
A process started this way can have its status queried with ListProcessesInGuest. When the process completes, its exit code and end time will be available for 5 minutes after completion.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the GuestProcessManager used to make the method call. |
| vm P | ManagedObjectReference
to a VirtualMachine |
Virtual machine to perform the operation on.
|
| auth | GuestAuthentication |
The guest authentication data. See
GuestAuthentication.
|
| spec | GuestProgramSpec |
The arguments describing the program to be started.
|
Return Value
| Type | Description |
|---|---|
| xsd:long | The pid of the program started. |
Faults
| Type | Description |
|---|---|
| CannotAccessFile | Thrown if the program path cannot be accessed. |
| FileFault | Thrown if there is a file error in the guest operating system. |
| FileNotFound | Thrown if the program path does not exist. |
| GuestComponentsOutOfDate | Thrown if the guest agent is too old to support the operation. |
| GuestOperationsFault | Thrown if there is an error processing a guest operation. |
| GuestOperationsUnavailable | Thrown if the VM agent for guest operations is not running. |
| GuestPermissionDenied | Thrown if the program path cannot be run because the guest authentication will not allow the operation. |
| InvalidGuestLogin | Thrown if the the guest authentication information was not accepted. |
| InvalidPowerState | Thrown if the VM is not powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the virtual machine's current state. |
| OperationDisabledByGuest | Thrown if the operation is not enabled due to guest agent configuration. |
| OperationNotSupportedByGuest | Thrown if the operation is not supported by the guest OS. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the virtual machine is busy. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the GuestProcessManager used to make the method call. |
| vm P | ManagedObjectReference
to a VirtualMachine |
Virtual machine to perform the operation on.
|
| auth | GuestAuthentication |
The guest authentication data. See
GuestAuthentication.
|
| pid | xsd:long |
Process ID of the process to be terminated
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| GuestComponentsOutOfDate | Thrown if the guest agent is too old to support the operation. |
| GuestOperationsFault | Thrown if there is an error processing a guest operation. |
| GuestOperationsUnavailable | Thrown if the VM agent for guest operations is not running. |
| GuestPermissionDenied | Thrown if the process cannot be terminated because the guest authentication will not allow the operation. |
| GuestProcessNotFound | Thrown if the pid does not refer to a valid process. |
| InvalidGuestLogin | Thrown if the the guest authentication information was not accepted. |
| InvalidPowerState | Thrown if the VM is not powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the virtual machine's current state. |
| OperationDisabledByGuest | Thrown if the operation is not enabled due to guest agent configuration. |
| OperationNotSupportedByGuest | Thrown if the operation is not supported by the guest OS. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the virtual machine is busy. |
Events
| Type | |
|---|---|
| None |
| Top of page | Local Methods | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


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African craftsmanship honored at Lagos fashion weekend
African craftsmanship is now a new destination for fashion and luxury, according to global players. From colorful dresses, to sophisticated outfits, participants in Lagos’ last fashion weekend honoured handmade works.
American actress and designer, Rosario Dawnson is convinced that African craftsmanship is the very expression of luxury.
“It’s different when you’re not using a bunch of plastics and oils and mass producing it in fast fashion. There is a big difference when something is hand-made and lovingly touched by someone who is really passionate about what they were doing and excited about creating something that they knew someone else could cherish and really value. That’s true luxury, when something is made from scratch and all the way up… And recognizing everyone from the farmer, all the way to the consumer as being valuable. That’s true value”, the designer said.
Lagos Fashion Weekend is not only directly targeted at fashion aficionados, but also everyday consumers. Professionals present at the event were delighted to be a part of such an occasion on the continent.
“I think that something that Africa has that’s so rich is the craft and so many people make things by hand. For example, you guys have the beautiful Adire fabric with a coloured tie. The batik patterns on your wax are all handmade. I think that in terms of luxury and fashion, that’s why people are coming to Africa today. It’s really the handmade, artisinal things”, Lezanne Livewells, a designer said.
African handicrafts are experiencing a new birth in the world of fashion and luxury.
This is evidenced by the proliferation of online platforms that specializes in the trade of handmade products imported from the continent.
AP


Some collegues and I were dicussing dupication in tests, specifically how much repitition of code across tests is acceptible. On the one hand, you want each test to stand on its own and indicate what it’s testing. On the other hand, just because we’re in a test doesn’t mean that all the rules about duplication of code don’t apply; tests need to be maintained to, and if you make a large change, you don’t want to have to change it in several places.
How much duplication is too much or, what does duplication in tests mean, and how does it affect the understandability and maintainability of our tests?
What is a test?
To know how our test code should be structured, we must understand what the purpose of a test is. At its base, a test is some code that, when executed, checks that some other code behaves in a certain way.  We should be able to understand, from looking at a bunch of tests, what the code is supposed to do and what the intent of the developer who created it was.
Let’s start with the basic structure of one test
Structure of a single test
A test is made of up three parts:
- Setup or Given - This part establishes the conditions under which the test will be performed. This is crucial, and what makes programming hard - can we know every condition under which our code will run? We call this “Given” because we simply “give” conditions to the code under test.
- Execute or When - Here, we run the code we’re testing, usually by calling a public method from the class under test. It’s called “When” because of phrases like “When I calculcate the sales tax”.
- Assert or Then - The final part involves checking that what we executed in step 2 did what we thought it should do. It’s called “Then” because of the way we might state assertions in English - “Then the total should be $56.12”.
A very simple test might look like this:
1 2 3 4 5 6 7 8 |
|
Tests in real apps are rarely this simple and straightforward. Often, complex setup is required to establish all the “givens”. Further, the setup for several tests might be very similar, containing identical code with very small differences. It’s these differences that form the true picture of the behavior of code under test.
Structure of a set of tests
Let’s take a simple domain that it’s a bit more complex than our Circle
class to see how tests interact. Let’s test a class
that, given a Person
, returns a “salutation”. What makes this tricky is that people in our system don’t always have a first
name or last name. We want our Salutation
class to handle this.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
|
Read these tests over. They should, hopefully, give you a picture of what the Salutation
class is supposed to do, even though
we aren’t seeing the actual implementation1. Of course, this isn’t perfect. If you look over the test class
quickly, all the tests look similar, and it’s hard to tell what the differences are. Specifically:
- The assertions in the first two tests are identical. Is this by coincidence, or by design?
- This test is tightly coupled to the construction of a
Person
, even though this class doesn’t test that construction; we simply wantPerson
instances of a certain nature.
All of these issues make it unclear what’s really being tested. What part of each of these tests is different from the others in a significant way?
Making intent more clear
Our first issue is that the first two tests’ assertions are identical. This is, in fact, by design of the Salutation
class -
if the person has a first name, we don’t care if they have a last name. Let’s make that design decision clear:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
|
Now, it’s very clear that the last name doesn’t matter. Note that since we’re now executing our given/when/then in a loop, we need to include the person used in the salutation in our assertion message so if it ever fails, we know which last_name
caused it.
This clears up our biggest issue, but what about the duplication of creating Person
instances? Outside of the fact that any
change in the constructor Person
will break this test, it’s also not clear what’s different about all of these Person
instances. Even if we’re familiar with the constructor, it’s still not 100% clear what kind of person we’re setting up as a
“Given”.
We could certainly drop a few comments in, but we have a more powerful tool: method extraction.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
|
Now, it’s painfully clear which type of person we’re setting up. We’ve also been able to eliminate the person
variable,
which was only really needed to construct the Saluation
instance. It’s existence muddied the test code, so the elimination
of that makes the tests more clear. The extracted methods are trivial:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
|
Granted, our test is a lot more lines of code than it was, but it’s also a lot more clear. Since code is read much more often than written, good, clean code should favor readability. Our test code now does, clearly communicating, for each test, what the conditions are under which we’re going to test, what code we’re testing and what behavior we expect our code to exhibit, all with a minium of comments – the code speaks for itself.
Of course, we can still introduce further confusing duplication. As our codebase grows, we’ll see that duplication will also grow.
Behavior in the face of change
Let’s consider a new subclass of Salutation
called FormalSalutation
. This new subclass will implement the somewhat
old-fashioned notion of referring to married women as “Mrs.” and unmarried women as “Miss”. It will also
spell our “Mister”. We’ll copy the tests for
Salutation
and enhance them as a naive first step.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
|
The tests are pretty clear as to what they are doing, but now we have two types of nasty duplication going on:
- Some of these tests are identical to those in
SalutationTest
- Some of our private
person_*
methods are identical to those inSalutationTest
Duplicated Tests
What do our duplicated tests tell us? They tell us that, for a person with a first name, irrespective of the existence of a last
name, Salutation
and FormalSalutation
behave the same only by happenstance. In other words, it is OK for the behavior of
these classes to differ in this situation, but, currently, they happen to behave the same. Meaning that if we later change how
Salutation
behaves, we don’t need to also change how FormalSalutation
behaves.
The quesiton is: is this interpretation correct? Let’s suppose that it isn’t. Let’s suppose that, anywhere in our system,
anyone that uses a Salutation
or Salutation
-like class should expect that the behavior regarding a Person
with a first
name should be the same. Can we communicate that design decision in our tests?
We could do this by creating a module to hold our specific asserts, called SalutationTests::Asserts
, like so:
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|
We’ve added lines of code, but now it’s clear that the behavior of both Salutation
and FormalSalutation
are supposed to be the same for a Person
with a first name. Meaning, if the behavior of one changes, than the behavior of
the other must change, and we can make that change, in our tests, in one place. It also means that future
Salutation
-like classes can re-use this logic. This is basic structured programming.
Onto our second form of cross-test duplication, the duplication in the setup of Person
instances.
Duplication in setup
In both SalutationTest
and FormalSalutationTest
, we create a person with a full name, a person with no last name, and a
male person without a first name. It’s done the same way in both test classes. The code, as it stands now, is telling us that
this duplication is merely happenstance. This is not correct. We intended to create the same set of circumnstances in both
tests. In one, the behavior is the same (by design, as indicated by the sharing of the assert method). In the other
the classes, under the same conditions should behavior differently.
So, we’d like to communicatet this sameness that in our implementation. We could use a tool like FactoryGirl, but this puts all of our test data into global scope. We only want our test data scoped to the tests in question. This is so that data can change as those sets of classes change, and we can be sure we aren’t breaking other classes.
We can do this without any special tools by using a module with a well-chosen name. We’ll use our
SalutationTests
namespace and create a new module inside called People
that will contain our extracted methods.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
|
It’s now clear that the setup for the first two tests of both SalutationTest
and FormalSalutationTest
are the same by
design. Note that if we did choose to move to FactoryGirl later on, we only need to update this module to use our
factories, instead of having to go into each test method and do it. This is, yet again, basic structured programming.
What about the case when we want to re-use this setup, but change it slightly? Should we re-use it, or duplicate it?
When we need a slight tweak to our setup
Suppose we want to make a third class, called HonorificSalutation
. Here, our setup is very similar, but not exactly the same,
as our common Person
setup in SalutationTests::People
. Since we don’t have to use this module, we could create Person
instances exactly how we’d like, and make it clear that the tests in HonorificSalutationTest
aren’t the same as those
in the other two.
However, this isn’t exactly true. The setup is almost the same and, since these three classes are all related, it makes sense
to share the similarities. We want someone to look at HonorificSalutation
and know what’s different about this class
from Salutation
or FormalSalutation
. So, we re-use the methods from SalutationTests::People
and modify the results during
the setup:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
|
What this code is saying is that when we test a person who’s a doctor and has no first name, we want both a male and female
exactly like we had in our other tests, but the one difference between those tests and this is that honorific
is being set to :doctor
. This makes it very clear what’s truly different.
Conclusions
There’s a lot more to this subject, but essentially what we’re getting at is the meaning behind duplication. Essentially, things that are the same by desgin should be shared. Everything else is only the same by happenstance. By coding your tests in this way, you make the intent and design very clear. And you don’t need any special tools to do it.
- And, of course, please set aside the American-centric natrue of this class and domain. I understand that many cultures have the names “reversed” from American-style or don’t even have such a rigid name structre. ↩


runner = Runner(agent=agent, environment=environment)
// Start the runner
runner.run(num_episodes=500, max_episode_timesteps=200)
runner.close()
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
tf.logging.set_verbosity(v=tf.logging.ERROR)
def main():
// Create an OpenAI-Gym environment


This release includes an important security fix - users are urged to upgrade asap. For more details refer to the blog post ZAP and Log4Shell.
| Introduction | the introduction to ZAP | |
| Releases | the full set of releases | |
| Credits | the people and groups who have made this release possible |


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In processing radar data, some computations can be run independently in separate threads. In Rack, parallel computation can be enabled flexibly on command line. Parallel computing is enabled by putting a desired command sequence inside braces: [...] .
Here, a routine to be run for each input is defined as a script, just as explained in Defining scripts . Then, the triggering commands – input file arguments – are put in braces. In the following example, for each input Pseudo CAPPI and Echo Top products are generated converted to Cartesian coordinates and stored in a file.
Within braces, [–inputFile] <file>
command will trigger the defined script in a separate, parallel thread.
More schematically, consider a command line invocation of Rack
marking thread-triggering commands with CMD
and other commands with cmd
. A schematic decomposition of such a line is shown below:
During execution, Rack creates and maintains certain resources in memory for commands to read and write: a polar volume, a polar product, Cartesian product and compositing arrays. (See the scheme in Introduction .) A thread has private resources – its so called context – in addition to shared resources called the base context. As a principle in threads, any data loaded or created in the thread are used instead of those of the main thread (base context).
Especially, a composite (accumulation array) initialized in the main thread will serve the threads as a shared resource unless (until) a new composite is initialized or loaded in the thread. Commands use internal logic in selecting data.
The following picture illustrates how the above command line structure is actually computed.
Instead of a predefined script, commands can be run parallel by putting them inside braces and separating independent command sequences to threads with a slash '/'
.
Example:
For accumulating polar data, Rack uses a shared accumulation array, enabling parallelizing the process in straightforward way:
However, parallel computing does not provide much advantage because actual computing is simple and file read is more a slowing factor.
The following example creates a composite as a single command line – as a single yet parallelized computation job:
(Under construction.) In operational environment, one typically has system-level parallel processes in receiving radar data, hence there is less use in designing \i parallel tiled compositing in Rack level. See the single-thread Tiled compositing instead.
Given a single volume as input, generate products to separate /dataset
groups:
As anomaly detectors are independent of each other, they can be computed in parallel, each updating the resulting quality field (QIND
quantity) when completed. Finally, the combined detection field can be used for removing the anomalies in the volume.


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Progress: {{globalData.conversion.inProgressIndex}} of {{globalData.conversion.files.length}}({{globalData.conversion.files[globalData.conversion.inProgressIndex - 1].name}})- Finished!
Selected file(s)
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Selected file(s)
Duplicates animation in reverse and appends. Useful to make a non-looping animation loop seamlessly.
Converts animation to a pose by copying keyframe 0 to all keyframes. Fixes "twitchy" poses.
Offset time:
Offsets all animation keyframes to start at indicated time.
Lengthen time:
Lengthens last frame of animation. Useful to "hold" final pose.
Stretch factor:
Stretches animation. For example 2.0 doubles animation (slows to half speed).
Progress: Preparing...
Progress: {{globalData.xaf.inProgressIndex}} of {{globalData.xaf.files.length}}({{globalData.xaf.files[globalData.xaf.inProgressIndex - 1].name}})- Finished!
XPF Base + Play matching utility not finished yet...
This combined two XPF animations, with padding, to match the duration of an XAF file. This is useful in special occasions, such as a kiss (XPF) facial animation that needs to synch with a longer running skeletal animation.


---
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permalink: /publications/
author_profile: ture
header:
overlay_color: "#000"
overlay_filter: "0.5"
overlay_image: /assets/images/head-picture.jpg
#cta_label: "Download"
#cta_url: "https://github.com/mmistakes/minimal-mistakes/"
#caption: "Computational Cognitive Neurocience"
#excerpt: "Computational Cognitive Neurocience."
---
Journal Papers
- Lingheng Meng, Shifei Ding, “The Research of Stacked Denoising Sparse Autoencoder.” Neural Computing and Applications. (Accepted)
- Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue, “A Review on Feature Binding Theory and Its Applications in Perceptual Learning.” Submitted to Cognitive Computation. (Accepted)
- Lingheng Meng, Shifei Ding, and Yu Xue. "Research on denoising sparse autoencoder." International Journal of Machine Learning and Cybernetics (2016):1-11. (Published Online)
- Lingheng Meng and Shifei Ding, “Research on Depth Perceptual Model Based on Single Image.” Journal of Shandong University (Engineering Science), 46(3) (2016):37-43. (in Chinese)
- Hongjie Jia, Shifei Ding, Lingheng Meng and Shuyan Fan, "A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction." Neural Computing & Applications 25.7-8(2014):1557-1567.
Conference Papers
Posters
- Lingheng Meng, “3D Scene Perception System Based on Single Static Image “, on The 12th China Workshop on Machine Learning and Applications, Xian, China. 2014.
Patents
- Lingheng Meng, Fenggang Li, Lei Zhang, A Wireless Monitoring and Reporting Device for Intravenous Infusion, CN103893858A (2014) (in Chinese)


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Rules and guidance for using post-16 funding allocated by EFA.
Colleges, providers, schools and academies receive annual funding allocations from Education Funding Agency ( EFA ) for the provision of 16 to 19 education.
Information about the procedures involved in allocating funding can be found on the 16 to 19 funding allocations page.
An overview of 16 to 19 funding is available on GOV.UK. This includes how funding is calculated using the EFA funding formula that incorporates factors including student numbers, student retention, higher cost subjects, disadvantaged students and area costs.
This is supplemented by additional funding for high needs students, bursaries and other financial support awarded to individual students and, currently, transitional protection and formula protection funding ( FPF ) to take into account changes from previous funding arrangements.
Below, you can find a set of guidance documents for each year that all post-16 education institutions receiving EFA formula funding should comply with.
Information on the condition of funding for post-16 students without GCSE grade C in maths and/or English is available on GOV.UK.
The funding regulations guide for 2016 to 2017 provides the funding principles, rules on eligibility, and other regulations used in the 16 to 19 funding model.
The rates and formula guide for 2016 to 2017 provides information on the funding rates and formula used for 16 to 19 funding calculation.
The ILR funding returns guide for 2016 to 2017 gives technical advice on making final funding claims. It also sets out the reconciliation process for contract institutions.
This document does not apply to schools and academies returning data through the school census.
The sub-contracting controls guide for 2016 to 2017 sets out EFA compliance and control requirements and advice for all directly funded institutions that use third parties to deliver provision and includes notice of 2 significant new restrictions.
The first applies to maintained schools and academies that have whole programme sub-contracting arrangements (both local and at a distance) and the second applies to colleges sub-contracting provision wholly or substantially to a special school for provision for 19 to 25 HNS. Any institutions with sub-contracted provision are advised to ensure that they review the guidance and take the required actions.
The funding regulations guide for 2015 to 2016 provides the funding principles, rules on eligibility, and other regulations used in the 16 to 19 funding model.
The sub-contracting controls guide for 2015 to 2016 sets out EFA compliance and control requirements and advice for all directly funded institutions that use third parties to deliver provision.
The rates and formula guide for 2015 to 2016 provides information on the funding rates and formula used for 16 to 19 funding calculation
The ILR funding returns guide for 2015 to 2016 gives technical advice on making final funding claims. It also sets out the reconciliation process for contract institutions.
This document does not apply to schools and academies returning data through the school census.
The contract institution reconciliation workbook supports institutions in understanding the main document. It gives the tables from annex C in spreadsheet format, so that institutions can see how the values are calculated. There is also an example of how clawback is calculated and applied to profile payments.
The document the process for seeking young people’s funding for qualifications describes the process involved in seeking public funding in England for the delivery of a qualification to students up to the age of 19 years old.
EFA has developed presentations for institutions to use internally to audiences who are required to understand the funding procedures and guidance. These cover:
You can access funding guidance for previous academic years in the National Archives.
The latest information on planned hours is available on GOV.UK.
Published: 10 March 2014
Updated: 14 July 2016


VIRAL VIDEO: Katy Perry Enters Indian Airport Without Showcasing Passport Despite Multiple Requests; Receives Backlash
In one of the videos going viral on the internet, Katy can be seen entering the Airport without showcasing her passport.
by Koimoi.com TeamKaty Perry took the Indian crowd by storm as she performed in Mumbai yesterday. The Hollywood singer made the crowd croon to her all-time fav hits including Fireworks and Bon Appetit. But what is now grabbing eyeballs is Katy’s behaviour at the airport while she was heading back to her hometown.
In one of the videos going viral on the internet, Katy can be seen entering the Airport without showcasing her passport. When the security personnel asked her for it, the singer replied something but without following the due process, marched into the airport premises. Furthermore, despite multiple requests Katy Perry and her assistant ignored it all and the starry tantrums didn’t go well with the netizens.
Check out the video below:
Multiple users took to the comment section and pointed out to how the felt about Katy Perry’s act.
 Kya hotaa!!! That was a cheap behaviour katty!” wrote another.

“Why do Indians go down begging Ma’am, Ma’am when in the West they always refer anyone by the first name ? British are gone but the slavery is left behind. Utterly disgusting display of our culture,” wrote another user.
Meanwhile, the singer was also seen enjoying a star studded bash thrown by filmmaker Karan Johar.
From Jacqueline Fernandez to Shahid Kapoor’s wife Mira Kapoor, Ananya Panday, Aishwarya Rai Bachchan, Karisma Kapoor, amongst others were seen chit chatting with Katy and also posing for pictures.
The One Plus Music Festival was held last night in the city, and also witnessed One Rules singer Dua Lipa performing to her hits.


--- layout: post title: Missing Brisbane Boy Rides Bike to Sydney external-url: http://www.abc.net.au/news/stories/2009/04/15/2543289.htm ---
ABC News:
A 15-year-old Brisbane boy with Asperger’s syndrome who went missing for two weeks has been found in Sydney, after riding his bike more than 950 kilometres down the Pacific Highway.
Absolutely incredible. I greatly admire this kid’s determination, resolve and physical endurance. I’m also impressed with his parents for acting rationally when they noticed him withdrawing money from his bank account by depositing extra funds so he’d have enough to pay for food.
The huge distances he covered day after day resemble the type of riding required to race a tour. A cycling team should pick him up.


I'm a product security engineer with a passion for computer security. I've previously worked as a penetration tester with experience delivering multiple service lines including web application, infrastructure and cloud penetration tests.
I have worked with a diverse range of clients in industries including: financial services, payments, manufacturing, healthcare and education to validate security controls, presenting results in technical and executive-level reports.
I've presented research and spoken at events, security meetups and conferences throughout Europe, including:
My current and past qualifications include:
Internal subject matter expert for application and cloud security. Helping to drive the roadmap and prioritisation for the product security function.
My primary focus is application and cloud security, with a goal to improve SDLC security. This is achieved through:
I worked as part of the security testing team within Aon's Cyber Solutions (formerly Gotham Digital Science, a Stroz Friedberg company).
I worked with clients to identify risks within their organisations, evaluate the risks contextually and offer recommendations to improve the overall security posture. This was achieved through:
I worked part-time while completing my studies. My responsibilities included:
This contract-based role involved travelling to Abu Dhabi to teach local students (from ages 12-21) about computer security.
The main event was four days of teaching a class about a variety of computer security subjects including:
The role required a variety of skills including:
First Class Honours Degree
B Overall
Securi-Tay 2019 - March 2019 - Dundee, Scotland
YouTube RecordingAbertay Ethical Hacking Society - March 2019 - Dundee, Scotland
Cyber Re:coded - October 2018 - London, England
London DEFCON Group (DC4420) - July 2019 - London, England
SlidesSecuri-Tay 2018 - May 2018 - Dundee, Scotland
YouTube RecordingBSides Ljubljana - March 2018 - Ljubljana, Slovenia
Recording and SlidesAbertay Ethical Hacking Society - February 2018 - Dundee, Scotland
Abertay Ethical Hacking Society - September 2016 - Dundee, Scotland
Security isn't just a job for me, it's something I have a deep interest in. I spent a lot of time outside of work continually developing my knowledge. This includes reading technical security books, attending security conferences and participating in online training such as HackTheBox.
When I want time away from technology, I enjoy cycling or running.


WITNESS LIST
Defense & Veterans' Affairs Committee
March 8, 2017 - 10:30 AM or upon final adjourn./recess
Emergency Preparedness
On:
Eickmann, Kenneth (Self)
Graf, Keith (Office of the Governor)
Kidd, Nim (DPS TDEM)
Nichols, John (Texas Military Department)
Registering, but not testifying:
On:
Norris, Tracy (Texas Military Department)
Wilson, Bill (Texas Military Department)
Veteran Affairs
On:
Black, Mark (Texas department of licensing and regulatiion)
Cantu jr., Eliseo "Al" (Texas veterans commission)
Darwin, Jim (Health and Human Services Commission)
Elledge, Matthew (Veterans Land Board)
Elledge, Matthew (Veterans Land Board)
Farias, Jose (Self)
Francis, Brian (Texas Department of Licensing and Regulation)
Hepburn, Byron (UT Health Science Center)
Mccraw, Steve (DPS)
Palladino, Thomas (Texas veterans commission)
Peterson, Alan (University of Texas Health Science Center at San Antonio)
Registering, but not testifying:
On:
Kelley, Michael (Texas Department of Licensing and Regulation)
1