THE HI-LO COUNTRY
Rating = *** out of ****** http://www.reviewfilm.com
The film opens with a very tense Pete Calder (Billy Crudup) who pulls up in a battered old pickup outside a church. In voice-over, he states his intention to kill a man. The rest of the movie relates how Pete got to this point. It begins with how he met his best friend 'Big Boy' Matson (Woody Harrelson), who, like Pete, owns a small ranch in Hi-Lo. They hang out together, drink and womanise together and, when WWII begins, join the Army together. When they return from service, they find that their holdings are hardly sufficient to make a living. They are cowboys, but life has changed. Ranchers such as Jim Ed Love (Sam Elliot) own huge tracts of land, and employ former ranchers to work as hired hand. Trucks have replaced the cattle drive as a means of getting the herd to the train stations. To Big Boy and Pete, Jim Ed is an object of contempt - while they were away fighting, he stayed at home buying up land, getting rich and slowly destroying the culture and position of the cowboy. What's worse, Big Boy's younger brother, Little Boy (Cole Hauser) now works for Jim Ed.
When Pete returns to Hi-Lo, his first act is to go to a dance in a nearby town, in the hope of meeting his former girlfriend, a Latino beauty called Josepha (PenÚlope Cruz). Instead he bumps into Mona (Patricia Arquette) who flirts openly with him, though she is married to Jim Ed Love's foreman, Les Birk (John Deihl). Though he later meets Josepha, Pete cannot get Mona from his mind. He is determined to see her again, and feels that she wants to take their relationship further, despite professing his love and loyalty to Josepha. He is horrified when he finds out that Big Boy is having an affair with Mona, particularly as Big Boy uses Pete to help him keep the affair a secret. As Big Boy becomes more smitten with Mona, Pete's secret passion for her also builds unbearably, as does his guilt for deceiving Josepha.
Pete and Big Boy, though close friends, have very different characters - Big Boy is loud, brash and passionate, whereas Pete keeps his emotions and thoughts to himself. He is as cautious as Big Boy is impulsive. The festering resentment between Jim Ed's men and the independent ranchers begins to boil over as news of Big Boy's affair becomes known. As Big Boy becomes more prosperous, he becomes more reckless, as if to invite confrontation, while Pete is torn between trying to protect his friend and also his desire to betray him (by taking Mona).
Director Stephen Frears clearly loves the landscape and the story. The Hi-Lo Country is a beautifully filmed Western, and his direction won the Best Direction prize at the Berlin film festival this year, and is accompanied by a stirring score by Carter Burwell (who also scored Fargo). The story (based on a book by Max Evans) poignantly evokes the sunset of the working cowboy era, as well as the strains of loving in a small, rural community (echoing the work of novelists Cormac Carthy and Larry McMurty).
Both Woody Harrelson and Billy Crudup are completely authentic as both cowboys and best friends, and their relationship forms the emotional axis upon which the film revolves. However, the film is far less convincing in the depiction of Arquette's character, Mona. So little effort is made to portray her as a real character that it is difficult to see why she evokes such passion in both men. Since Mona only kisses Pete once, it is a bit of a stretch to comprehend why he should harbour such desire for her, since the woman who does love him (Josepha) is far more beautiful and interesting. Likewise, it is never apparent why Big Boy would risk his life and livelihood for Mona either.
The other cause of conflict which drives the film is the relationship between Big Boy and his brother which lurches from anger to affection and back to outright hatred from scene to scene in an incomprehensible manner. It's as if all the fraternal scenes were scattered at random throughout the film, without regard what had happened before or after in the story. The uneven tone of this subplot is particularly evident at the climax of the movie, and the final, important scene between the brothers seems to have almost no bearing on what had gone before.
The performances are generally excellent throughout, particularly Harrelson and Crudup, as well as the secondary characters, such as Elliot (as the machiavellian Jim Ed Love) and Rosaleen Linehan as the mother of the feuding brothers. Frear's previous work includes The Grifters and Dangerous Liasons, so he knows something about stories of deception and illicit love affairs. However, this film feels like it has been heavily edited, at the expense of the characters of both Mona and Little Boy. The result is that one feels like is hearing the story second-hand, with the best bits left out.
(c) The Stockholm Film Review 1999
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.
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Diesel prices to dip, gasoline hike likely
by Edd ReyesANOTHER round of mixed price adjustments on petroleum products are likely to be imposed next week.
Based on the advisory of independent oil player Unioil Philippines, diesel prices are estimated to drop from 30 centavos to 25 centavos per liter while gasoline prices are likely to increase by 80 centavos to 90 centavos per liter.
Most independent oil firms like Unioil do not sell kerosene products.
Only last Tuesday, big and small oil firms implemented a mixed price adjustment on their petroleum products after implementing a slight rollback for three consecutive weeks.
Oil firms usually announce price adjustments on the eve of Sunday or Monday morning to be implemented the following day, Tuesday.


There are several Skill Enchanting options at your disposal: General Skill Enchant, Blessed Skill Enchant, Skill Un-Enchanting and Skill Route Change.
General Skill Enchanting%%
This method of enchanting requires 1 [Giant's Codex] and a certain amount of SP and adena to complete. If the enchant attempt fails, then the skill enchant level is returned to zero.
Blessed Skill Enchanting
This is a safer way to enchant a skill. This method requires 1 *Giant's Codex: Mastery* and 5 times the SP and adena of a general skill enchant. But, should you fail to enchant the skill, the value is not reset to zero. This option is good for higher level enchants.
Skill Un-Enchanting
This option refunds the user with some of the SP originally spent on the skill. This method requires 1 *Giant's Codex: Oblivion*, and takes the skill enchant down one level at a time. 80% of the original SP spent on the skill will be refunded to you. And if used when the skill is at level 1, the skill will be reset to zero.
Skill Route Change
This feature changes the type of enchant applied to the skill. In addition to the *Giant's Codex: Discipline*, the SP and adena required to change the route is 20% of the SP and adena needed for the next level of the enchant. When used, there is a chance that the enchant level may stay the same or may be reduced by 1-3 levels.


save_program/[1,2]
save_program(
+File)
save_program(
+File,
+Goal)
Saves the state of the current execution in object format to File. A goal, Goal, to be called upon execution/restoring of the saved state, may be specified.
A file specification, `.sav' extension optional.
A goal, defaults to true
.
save_program/[1,2]
creates a binary representation of all
predicates in all modules existing in the system. However, it does
not save the user's pre-linked code. It also saves such states of the
system as operator definitions, Prolog flags, debugging and advice
state, initializations, and dependencies on foreign resources.
The resulting file can be restored using restore/1
.
instantiation_error
type_error
permission_error
restore/1
, ref-sls, ref-sls-sst.


When you want to run your PySpark application on a cluster such as YARN, Kubernetes, Mesos, etc., you need to make sure that your code and all used libraries are available on the executors.
As an example, let’s say you may want to run the Pandas UDF examples. As it uses pyarrow as an underlying implementation we need to make sure to have pyarrow installed on each executor on the cluster. Otherwise you may get errors such as ModuleNotFoundError: No module named 'pyarrow'.
ModuleNotFoundError: No module named 'pyarrow'
Here is the script app.py from the previous example that will be executed on the cluster:
app.py
import pandas as pd from pyspark.sql.functions import pandas_udf from pyspark.sql import SparkSession def main(spark): df = spark.createDataFrame( [(1, 1.0), (1, 2.0), (2, 3.0), (2, 5.0), (2, 10.0)], ("id", "v")) @pandas_udf("double") def mean_udf(v: pd.Series) -> float: return v.mean() print(df.groupby("id").agg(mean_udf(df['v'])).collect()) if __name__ == "__main__": main(SparkSession.builder.getOrCreate())
There are multiple ways to manage Python dependencies in the cluster:
Using PySpark Native Features
Using Conda
Using Virtualenv
Using PEX
PySpark allows to upload Python files (.py), zipped Python packages (.zip), and Egg files (.egg) to the executors by one of the following:
.py
.zip
.egg
Setting the configuration setting spark.submit.pyFiles
spark.submit.pyFiles
Setting --py-files option in Spark scripts
--py-files
Directly calling pyspark.SparkContext.addPyFile() in applications
pyspark.SparkContext.addPyFile()
This is a straightforward method to ship additional custom Python code to the cluster. You can just add individual files or zip whole packages and upload them. Using pyspark.SparkContext.addPyFile() allows you to upload code even after having started your job.
However, it does not allow to add packages built as Wheels and therefore does not allow to include dependencies with native code.
Conda is one of the most widely-used Python package management systems. PySpark users can directly use a Conda environment to ship their third-party Python packages by leveraging conda-pack which is a command line tool creating relocatable Conda environments.
The example below creates a Conda environment to use on both the driver and executor and packs it into an archive file. This archive file captures the Conda environment for Python and stores both Python interpreter and all its relevant dependencies.
conda create -y -n pyspark_conda_env -c conda-forge pyarrow pandas conda-pack conda activate pyspark_conda_env conda pack -f -o pyspark_conda_env.tar.gz
After that, you can ship it together with scripts or in the code by using the --archives option or spark.archives configuration (spark.yarn.dist.archives in YARN). It automatically unpacks the archive on executors.
--archives
spark.archives
spark.yarn.dist.archives
In the case of a spark-submit script, you can use it as follows:
spark-submit
export PYSPARK_DRIVER_PYTHON=python # Do not set in cluster modes. export PYSPARK_PYTHON=./environment/bin/python spark-submit --archives pyspark_conda_env.tar.gz#environment app.py
Note that PYSPARK_DRIVER_PYTHON above should not be set for cluster modes in YARN or Kubernetes.
PYSPARK_DRIVER_PYTHON
If you’re on a regular Python shell or notebook, you can try it as shown below:
import os from pyspark.sql import SparkSession from app import main os.environ['PYSPARK_PYTHON'] = "./environment/bin/python" spark = SparkSession.builder.config( "spark.archives", # 'spark.yarn.dist.archives' in YARN. "pyspark_conda_env.tar.gz#environment").getOrCreate() main(spark)
For a pyspark shell:
export PYSPARK_DRIVER_PYTHON=python export PYSPARK_PYTHON=./environment/bin/python pyspark --archives pyspark_conda_env.tar.gz#environment
Virtualenv is a Python tool to create isolated Python environments. Since Python 3.3, a subset of its features has been integrated into Python as a standard library under the venv module. PySpark users can use virtualenv to manage Python dependencies in their clusters by using venv-pack in a similar way as conda-pack.
A virtual environment to use on both driver and executor can be created as demonstrated below. It packs the current virtual environment to an archive file, and it contains both Python interpreter and the dependencies. However, it requires all nodes in a cluster to have the same Python interpreter installed because venv-pack packs Python interpreter as a symbolic link.
python -m venv pyspark_venv source pyspark_venv/bin/activate pip install pyarrow pandas venv-pack venv-pack -o pyspark_venv.tar.gz
You can directly pass/unpack the archive file and enable the environment on executors by leveraging the --archives option or spark.archives configuration (spark.yarn.dist.archives in YARN).
For spark-submit, you can use it by running the command as follows. Also, notice that PYSPARK_DRIVER_PYTHON has to be unset in Kubernetes or YARN cluster modes.
export PYSPARK_DRIVER_PYTHON=python # Do not set in cluster modes. export PYSPARK_PYTHON=./environment/bin/python spark-submit --archives pyspark_venv.tar.gz#environment app.py
For regular Python shells or notebooks:
import os from pyspark.sql import SparkSession from app import main os.environ['PYSPARK_PYTHON'] = "./environment/bin/python" spark = SparkSession.builder.config( "spark.archives", # 'spark.yarn.dist.archives' in YARN. "pyspark_venv.tar.gz#environment").getOrCreate() main(spark)
In the case of a pyspark shell:
export PYSPARK_DRIVER_PYTHON=python export PYSPARK_PYTHON=./environment/bin/python pyspark --archives pyspark_venv.tar.gz#environment
PySpark can also use PEX to ship the Python packages together. PEX is a tool that creates a self-contained Python environment. This is similar to Conda or virtualenv, but a .pex file is executable by itself.
.pex
The following example creates a .pex file for the driver and executor to use. The file contains the Python dependencies specified with the pex command.
pex
pip install pyarrow pandas pex pex pyspark pyarrow pandas -o pyspark_pex_env.pex
This file behaves similarly with a regular Python interpreter.
./pyspark_pex_env.pex -c "import pandas; print(pandas.__version__)" 1.1.5
However, .pex file does not include a Python interpreter itself under the hood so all nodes in a cluster should have the same Python interpreter installed.
In order to transfer and use the .pex file in a cluster, you should ship it via the spark.files configuration (spark.yarn.dist.files in YARN) or --files option because they are regular files instead of directories or archive files.
spark.files
spark.yarn.dist.files
--files
For application submission, you run the commands as shown below. Note that PYSPARK_DRIVER_PYTHON should not be set for cluster modes in YARN or Kubernetes.
export PYSPARK_DRIVER_PYTHON=python # Do not set in cluster modes. export PYSPARK_PYTHON=./pyspark_pex_env.pex spark-submit --files pyspark_pex_env.pex app.py
import os from pyspark.sql import SparkSession from app import main os.environ['PYSPARK_PYTHON'] = "./pyspark_pex_env.pex" spark = SparkSession.builder.config( "spark.files", # 'spark.yarn.dist.files' in YARN. "pyspark_pex_env.pex").getOrCreate() main(spark)
For the interactive pyspark shell, the commands are almost the same:
export PYSPARK_DRIVER_PYTHON=python export PYSPARK_PYTHON=./pyspark_pex_env.pex pyspark --files pyspark_pex_env.pex
An end-to-end Docker example for deploying a standalone PySpark with SparkSession.builder and PEX can be found here - it uses cluster-pack, a library on top of PEX that automatizes the intermediate step of having to create & upload the PEX manually.
SparkSession.builder


Time & Habits
- Which timebox and habits techniques did you try?
- What did you find interesting?
- What worked for you?
- Which will you experiment further with?
During the first part of EDA I didn't understand how important it was to timebox. When setting myself a new challenge, such as finishing Sprint 1, I'd commit every waking minute of my day. This would lead to excellent output in day 1, but no further output for the rest of the week due to being burned out. I'm loving the Toggl application and find this helps me focus and feel a light but persistent time pressure. Part of my habits when studying from home is the ability to put music on and find my flow. If I'm still nodding my head to a beat even though it's during a song change, that's how I know I'm flowing. Right now, I'm feeling in the zone and focused. This page is flying infront of my eyes. I look forward to trying out other techniques over time to see which ones will have the greatest impact.
It was interesting to find myself amongst the learning material. I'd never had read or understood the importance otherwise. My normal Monday evening definitely hasn't included meditation or reading up on new methods to improve my focus and time commitments. It will be good to start making a habit of this so I can evolve as a person.
At the moment, listening to music and blocking out external sound is working from home. During the bootcamp I believe I'll be trying meditation and yoga. Possibly even the 25 minutes on, 5 minutes off, type of workload. Again, I'm loving timing myself and time boxing activities. This keeps me focused and not clicking around on other things. It's easy to think "Ah, I'll Google this bit of code...10 minutes later...YouTube...Email...News..". Finding my flow is becoming easier and I'll try master this further.
Whoops! I covered this above. I will experiment with ways to find my flow faster and maintain it. This really resonated well with me, as I have a full time job in technical support - some days you fly through the work at take lunch an hour before going home. Other days, you struggle over and over but have no idea why you feel overworked, but have such low output.


{% extends "base.html" %} {% block content %}
Open Gaithersburg is an experiment to make public data published by the city easier to use. The intial focus is on campaign finance data, but may expand to other types of data in the future.
Created by web developer and Gaithersburg resident Jeremy Carbaugh. Please contact me with any and all suggestions for improvements.
All campaign finance data comes directly from the City of Gaithersburg. The city provides downloads of all data collected from required campaign disclosure forms.
Data last updated 9/19/2011. New data is released within a few days of the filing deadlines:
Open Gaithersburg is open source. All contributions are welcomed!
Data is loaded and processed using saucebrush. Addresses are geocoded with the Yahoo! PlaceFinder API. Graphs and charts are generated using Google Chart Tools, maps with the Google Maps API. This site is powered by the Flask web framework and uses Twitter's Bootstrap UI toolkit.


Welcome to the Pizza Party!
Pizza Size:
Small ($5)
Medium ($10)
Large($15)
X Large Party Pizza ($20)
Toppings ($1 per topping):
Olives
Anchovies
Pickles
Mama lils peppers
Artichokes
Add to Order
Order Total:
$


Expected: External 0
Actual:
The script tag above refers to the a local script using a relative url. We rewrite the local script to point to the copy on www.modpagespeed.com.


| Drawing area line width: | |
| Drawing area font size: | |
| Drawing area scale: | |
| Non drawing area scale: |
| Turning AA on and off does not work with IE 9 & 10 (it is always on). |
| Set options: | ||
| Customize the help URL: | ||
| Display a message in the bottom bar: | ||
| Customize the InChIKey search base URL: | ||
| Customize the InChIKey search using a custom function. In this example, the search function is replaced by opening a simple alert. | ||
| Reset InChIKey search to its default function. |
| Import predefined chemical structure to applet: | ||
| Export chemical structure from applet: | |||
| Import chemical structure from text area above to applet: | ||


{% extends 'adminlte/base.html' %} {% block content %}
| Book Name | Author | Publisher | Publish Year | Request Book |
|---|---|---|---|---|
| {{book.title}} | {{book.author}} | {{book.publisher}} | {{book.year_of_publish}} |
| Book Name | Author | Publisher | Publish Year | Request Status | Comments | Fine | Payment Status |
|---|---|---|---|---|---|---|---|
| {{book.book.title}} | {{book.book.author}} | {{book.book.publisher}} | {{book.book.year_of_publish}} | {{book.request_status}} | {{book.comments}} | {{book.fine}} | {{book.payment_status}} |


THE THOMAS CROWN AFFAIR (1999)
Rating: 2 stars (out of 4.0) ******************************** Key to rating system: 2.0 stars - Debatable 2.5 stars - Some people may like it 3.0 stars - I liked it 3.5 stars - I am biased in favor of the movie 4.0 stars - I felt the movie's impact personally or it stood out ********************************* A Movie Review by David Sunga
Directed by: John McTiernan
Written by: Alan Trustman
Starring: Pierce Brosnan, Rene Russo, Frankie Faison and Faye Dunaway
Synopsis: In the opening of this romance the air conditioning in an art museum mysteriously malfunctions, and the scorching summer temperature soars high enough to blank the infrared cameras. Soon a priceless Monet painting is discovered missing. Catherine (Rene Russo), a lady insurance investigator wearing a scarf, suspects the manipulative businessman and compulsive gambler Thomas Crown (Pierce Brosnan) is the culprit. The trouble is, Crown looks great in a sweater and he owns a beautiful boat. Will Catherine fall in love, or will she bring Crown to justice?
Opinion: If I were the cops, I would have nailed Crown by simply fingerprinting the picture frame which Crown carelessly discarded at the crime scene. But aside from that, there was potential in this movie that never materialized. Crown was a man so thirsty for challenge he was getting self-destructive. And he might meet his equal in an attractive female adversary. The same went for ace investigator Catherine. She could possibly match wits with Crown and romance him the same time. And if the sparks didnt fly from the two lovers one-upping each other there was the added possibility of romantic competition in the form of Catherines gutsy and hones cop coworker.
Alas, after the first 20 minutes it was obvious Catherine didnt like the cop and didnt have the brains to match Crown. So the other two thirds of this movie was like watching a card game where one guy has all the cards and everyone else has nothing. The challenge evaporates. Catherine is reduced to cackling or crying, and everyone stands around waiting to fold. Pierce Brosnan fans get to see him at his good-looking best, but personally I think the movie and the romance would have been spicier and sexier had the protagonists been evenly matched.
Reviewed by David Sunga July 26, 1999
Copyright © 1999 by David Sunga This review and others like it can be found at THE CRITIC ZOO: http://www.criticzoo.com email<EMAIL_ADDRESS>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


{% extends 'base_bs5.html' %} {% load static %} {% block title %}Privacy Policy{% endblock %} {% block navbar %} {% include 'components/navbar.html' %} {% endblock %} {% block content %}
This is the privacy policy for the Effective Altruism Hub ("EA Hub", "we", "our", "us"). This policy explains how and why we collect and use personal information, and what we do to ensure it is kept private and secure when we do so.
This policy governs all pages hosted on the eahub.org domain and pages hosted on any subdomain of any of these (our "Websites"). When you visit any of our Websites, we may collect personal information from you, either directly, or passively as you browse. Please read this policy to understand what personal information we collect and how we use it.
We are Effective Altruism Hub Ltd, a company limited by guarantee in England and Wales (registration number 13462816). Our registered office is at 71-75 Shelton Street, Covent Garden, London, WC2H 9JQ.
For the purposes of data protection law, we will be a controller of the personal information we hold about you. This means we make decisions about how and why your information is used, and have a legal duty to make sure that your rights are protected when we do so. Our team members have access to your information in accordance with the access they need to fulfil their roles. See Section 6 for more details about how we keep it secure.
If you have any questions about our privacy policy, please get in touch with us via<EMAIL_ADDRESS>We collect the following types of personal information:
To participate in our community, you must create a profile on the EA Hub. To do so, you will need to provide us with the following information:
For your profile to be useful to other members in the community, we encourage to provide more information, for example
You have control over who can see your information. There are three profile visibility levels:
If you apply for a position with the EA Hub, we may ask you for personal information so that we can contact you and verify your identity and right to work.
If you contact us for any reason, we may keep a record of that correspondence.
When you visit any of our Websites, whether you’re logged in or not, we may collect technical data about the device you are using, including, where available, an anonymised version of your IP address, operating system, and browser type. This is used for system administration and to improve the look and feel of our Websites. See Section 3 for more about the technical data we collect through cookies and other web beacons.
When you are logged into your profile, we keep logs of your profile activity:
We do so in order to improve the overall quality of the EA Hub, e.g., we may use such data to measure the efficiency of our marketing campaigns.
Some of the personal information you can provide as part of your profile is special category data, such as details about your religious or philosophical beliefs, sexual orientation, or political opinions. You can control which information you provide and delete the information (for details on your right to be forgotten, see Section 10).
Please be aware that even if you delete information in your public profile, anyone on the web can have accessed it and made copies of it prior to you deleting it (or any EA Hub user if your profile is internal). We do not have any control over copies made by others.
A cookie is a small file of letters and numbers that we store on your browser or device, with your permission.
We use the following types of cookies:
We use third-party services such as Google Analytics to help us improve the look and feel of our Websites. Google Analytics places a cookie on your browser which keeps track of certain details about your visit to our Websites. These include what Google search criteria you used to find them in the first place, how long you stay on certain pages, and what website you visit immediately after leaving our own. This data will be aggregated and anonymised to the greatest extent possible. We only store an anonymised version of your IP address, so you will not be identifiable via your IP address.
For more information about Google Analytics, please visit Google’s Privacy Policy. If you wish to opt out of being tracked by Google, you can do that by downloading the browser add-on located here.
We will only use your personal information when the law allows us to. Most commonly, we will use your personal information in the following circumstances:
If you agree, we will send you periodic emails about the EA Hub’s new features and other information that we think you might be interested in. You can opt out of receiving these emails at any time by clicking the appropriate link in the email itself, or by updating your communication preferences via your account page.
We may use personal information held about you in the following ways:
When contacting you for any of the above purposes, we may do so by email, unless you tell us otherwise.
Your data will be treated in accordance with applicable data protection law. We may share your profile information with other EA organisations as described in this policy and only if it is in line with our legitimate interests. We will never sell your profile information.
We may rely on legitimate interests to process your personal information, provided that your interests do not override our own. European data protection law requires us to explain what these interests are.
Where we rely on legitimate interests, these interests are:
We employ a variety of physical and technical measures to keep your personal information safe and to prevent unauthorised access to, use of, or disclosure of it. We control who has access to your data using both physical and electronic means, some of which are described below. We have a set of detailed data protection procedures which our team members are required to follow when handling personal information.
Our security measures include:
To see our specific security measures, please view our Data Protection Policy
Where we have given you (or where you have chosen) a password which enables you to access certain parts of our Websites, you are responsible for keeping this password confidential. We ask you not to share a password with anyone. We cannot absolutely guarantee the security of the internet, external networks, or your own device; accordingly any online communications (e.g. information provided by email or through our Websites) are at your own risk.
We store your personal information on secure servers. Our team members have access to this information in accordance with the level of access they need to fulfil their roles.
We collect and store personal information for purposes connected with our business. As such, we will only retain your personal information for as long as necessary for those purposes.
If you apply for a position at EA Hub, and your application is not successful, we will seek consent to keep your personal data (such as your email address, location, and resume) indefinitely for the purpose of future suitable job vacancies. If consent is not given, or withdrawn, we will keep your data for 12 months once the recruitment exercise ends.
We regularly audit the personal information we hold and delete that which is not necessary.
If you sign up to one of our monthly newsletters, or register for an event we run, we will disclose your name and email address to Mailchimp, a service we use to manage the process of sending mass emails. You can opt out of a mailing list at any time by clicking the appropriate link in any email we send through Mailchimp.
If we choose to sell, transfer, or merge parts of the company or our assets to another EA organisation, we may disclose your personal information to the new owners. Alternatively, we may seek to merge with another EA organisation. If a change like that happens, then the new owners may use your personal information in the same way as set out in this policy.
We are subject to the law like everyone else. We may be required to give information to legal authorities if they so request or if they have the proper authorisation, such as a search warrant or court order.
We also may need to retain and disclose certain personal information about you to regulatory authorities and to appropriate agencies to conduct anti-money laundering and trade sanction checks and to assist with fraud prevention. We will disclose this information as is required by law.
We want you to remain in control of your personal information. Part of this is making sure you understand your legal rights, which are as follows:
If you would like further information about any of your rights or wish to exercise them, please contact us using the details given in Section 1.
Please keep in mind that there are exceptions to the rights above and, though we will always try to respond to your satisfaction, there may be situations where we are unable to do so (for example, because the information no longer exists or there is an exception which applies to your request).
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-
(CW17) Adversarial Examples Are Not Easily Detected - Bypassing Ten Detection Methods (2018-04-05)
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Combinatory Categorial Grammar (2018-01-01): How we all speak in functions
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Control theory (2017-12-24)
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Learning grammar (2017-10-04)
-
Annealed importance sampling (2017-07-20)
-
(HKY17) Hyperparameter Optimization - A Spectral Approach (2017-07-19)
-
(AR17) Provable benefits of representation learning (2017-07-18)
-
(AKV17) A sparse recovery view of sentence embeddings, bag of n-grams, and LSTMs (2017-07-18)
-
(TPGB17) The space of transferable adversarial examples (2017-05-24)
-
Adversarial thoughts (2017-04-16)
-
Inverse RL (2017-04-03)
-
Confidence in neural nets (2017-04-03)
-
Neural nets as kernel space (2017-03-23)
-
Langevin dynamics (2017-03-15)
-
Learning to model structures and data (2017-03-12)
-
Tensorflow setup (2017-03-03)
-
Adversarial experiments (2017-03-02)
-
Neural net learning, Anthony and Bartlett (2017-02-28)
-
AdaGAN (2017-02-24)
-
Multiplicative weights (2017-02-24)
-
Adversarial examples in neural networks (2017-02-21)
-
The Blessing and the Curse of the Multiplicative Updates (2017-02-12)
-
Neural net separation (2017-02-09)
-
Boosting (2017-02-08)
-
Variational Bayes (2017-02-06)
-
Linear convex regulator 2 (2017-01-10)
-
Transfer learning (2016-12-29)
-
Kernels (2016-12-29)
-
(R16) How to calculate partition functions using convex programming hierarchies - provable bounds for variational methods (2016-12-28)
-
Legendre transform (2016-12-28)
-
Hierarchies of convex relaxations (2016-12-28)
-
GANs (2016-12-28)
-
(HMR16) Gradient descent learns linear dynamical systems (2016-12-27)
-
(HM16) A non-generative framework and convex relaxations for unsupervised learning (2016-12-27)
-
Musings on Barron's Theorem (2016-12-22)
-
Linear convex regulator (2016-12-14)
-
Linear quadratic regulator (2016-12-09)
-
Control theory (2016-12-06)
-
Embedding methods in NLP (2016-12-06)
-
POMDPs (2016-11-29)
-
Policy gradient (2016-11-22)
-
Probabilistic models - Ideas (2016-11-07)
-
Function approximation (2016-11-01)
-
(MVB16) Geometry of Polysemy (2016-10-28)
-
RL references (2016-10-25)
-
Reinforcement learning convergence (2016-10-24)
-
Reinforcement learning theory (2016-10-22)
-
Learning structured, robust, and multimodal deep models (2016-10-21)
-
DL experiments (2016-10-17)
-
MDP's with continuous state space (scratch) (2016-10-14)
-
MDP's with continuous state space (2016-10-14)
-
Language games (2016-10-13)
-
Alexa (2016-10-13)
-
Interpretable neural nets (2016-10-12)
-
Hidden Markov Models (2016-10-11)
-
Bandit convex optimization (2016-10-11)
-
Generalization of neural nets (2016-10-10)
-
Neural nets learn dictionaries (2016-10-10)
-
(WJ08) Graphical Models, Exponential Families, and Variational Inference (2016-09-30)
-
Reinforcement learning (2016-09-28)
-
(PMDH16) Convolutional Patch Representations for Image Retrieval - an Unsupervised Approach (2016-09-26)
-
DL generalization (2016-09-19)
-
PCANet - A simple deep learning baseline for image classification? (2016-09-10)
-
(SV16) The mixing time of the Dikin walk in a polytope - a simple proof (2016-09-07)
-
LDA (Linear discriminant analysis) (2016-09-04)
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Transductive learning (2016-08-31)
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Self-taught learning ([RBLPN07] Self-taught Learning - Transfer Learning from Unlabeled Data) (2016-08-31)
-
Nash equilibrium (2016-08-31)
-
Tensor decomposition (2016-08-30)
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(BKS15) Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method (2016-08-30)
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Ellipsoid method (2016-08-30)
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Interior point methods (2016-08-26)
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Distribution of critical points (2016-08-13)
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(BH16) Algorithms for generalized topic modeling (2016-08-12)
-
(HA16) Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition (2016-08-02)
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Convnets ideas (2016-08-02)
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PMI for images (scratch) (2016-08-01)
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PMI for images (2016-08-01)
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PMI and feature vectors (2016-07-29)
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Representation learning (2016-07-28)
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Complexity of neural networks (2016-07-25)
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Stanford quals (2016-06-29)
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CART and random forests (2016-06-29)
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k-means clustering (2016-06-28)
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ICA (Independent components analysis) (2016-06-28)
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Factor analysis (2016-06-28)
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Linear dimensionality reduction ([CG15]) (2016-06-28)
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CCA (Canonical correlation analysis) (2016-06-28)
-
(JSA15) Beating the Perils of Non-Convexity - Guaranteed Training of Neural Networks using Tensor Methods (2016-06-27)
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(BGKP16) Non-negative matrix factorization under heavy noise (2016-06-27)
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Relevant coordinates - Low-rank (2016-06-07)
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Relevant coordinates (2016-06-02)
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Inference for topic models - Code (2016-05-18)
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(DKLPRS) Markov logic (2016-05-17)
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Sampling (2016-05-17)
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NLP 2016 Senior presentations (2016-05-14)
-
Towards a better understanding of streaming PCA (Yuanzhi Li) (2016-05-10)
-
Percy Liang's papers (2016-05-04)
-
NLP (2016-05-04)
-
LDC's - directions (2016-05-01)
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Constrained optimization (2016-04-28)
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Convexity (2016-04-23)
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Convex problems (2016-04-23)
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Second-order methods (2016-04-22)
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NMF algorithm (2016-04-22)
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Perfect LCCs (2016-04-13)
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Matrix factorizations (2016-04-04)
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(A16) Provable algorithms for inference in topic models (2016-04-04)
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(AGM14) New algorithms for learning incoherent and overcomplete dictionaries (2016-04-02)
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LCC lower bounds by geometry (2016-04-02)
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(Bar13) Convexity of the image of a quadratic map via the relative entropy distance (2016-04-02)
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Goemans-Williamson (2016-04-02)
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Non-negative matrix factorization (2016-03-26)
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(AGMM15) Simple, efficient, and neural algorithms for sparse coding (2016-03-25)
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Sum of squares (2016-03-24)
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Thoughts on LDC's (2016-03-21)
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LSTM Programming (2016-03-19)
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(ALLMR16) RAND-WALK - A latent variable model approach to word embeddings (2016-03-15)
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(ALLMR16) Linear Algebraic Structure of Word Senses, with Applications to Polysemy (2016-03-15)
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Thoughts on LDC's (2016-03-14)
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Neural nets basics (2016-03-13)
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(ALM16) WHY ARE DEEP NETS REVERSIBLE - A SIMPLE THEORY, WITH IMPLICATIONS FOR TRAINING (2016-03-13)
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Interests (2016-03-13)
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Spectral Bounds for Stochastic Diffusion Model in Networks (2016-03-08)
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(CHMAL15) The Loss Surfaces of Multilayer Networks (2016-03-07)
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(AO15) Linear coupling (2016-03-06)
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Mirror descent (2016-03-05)
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Accelerated Gradient descent (2016-03-05)
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Analysis of neural networks (2016-03-05)
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SGD Variance Reduction (2016-03-04)
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SDP duality (2016-03-04)
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Duality (2016-03-04)
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Convex optimization (2016-03-04)
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Gradient descent (2016-03-04)
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(GRSY15) How Hard is Inference for Structured Prediction? (2016-03-03)
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LDCs (2016-03-03)
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Algorithms (2016-03-03)
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(SD15) Minimax rates for memory-bounded sparse linear regression (2016-02-29)
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Scraps (2016-02-29)
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(Rem16) The Hilbert Function, Algebraic Extractors, and Recursive Fourier Sampling (2016-02-29)
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Recursive Fourier Sampling (2016-02-29)
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Censored block model (2016-02-28)
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(MNS12) (2016-02-28)
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Real channels (2016-02-27)


Code Quiz Challenge
Question:
This will be where the text of the question will be
displayed. Not sure how long it will be so I put some more words in to see
what it looks like.
Try to answer the following code-related questions within the time limit. Keep in mind that the incorrect answers will decrease the quiz timer by ten seconds!


Counting Beep Boop Style
Enter a number and we'll count for you in a super special way!
Would you like to count again?
Count Up
Count Down
Counting
...


The deliverer with email:
and ID:
delivered a total of
orders in the past Month.
She/He delivered a total of
orders so far.


 Oh, they're so beautiful... I must have one!
What, you don't know what I'm talking about? Hmpph!
(Only characters who are level 39 or higher may undertake this quest.)


[ aws . codepipeline ]
Creates a new custom action that can be used in all pipelines associated with the AWS account. Only used for custom actions.
See also: AWS API Documentation
create-custom-action-type
--category <value>
--provider <value>
[--settings <value>]
[--configuration-properties <value>]
--input-artifact-details <value>
--output-artifact-details <value>
--action-version <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The category of the custom action, such as a build action or a test action.
Note
Although Source and Approval are listed as valid values, they are not currently functional. These values are reserved for future use.
Possible values:
- Source
- Build
- Deploy
- Test
- Invoke
- Approval
The provider of the service used in the custom action, such as AWS CodeDeploy.
Returns information about the settings for an action type.
Shorthand Syntax:
thirdPartyConfigurationUrl=string,entityUrlTemplate=string,executionUrlTemplate=string,revisionUrlTemplate=string
JSON Syntax:
{
"thirdPartyConfigurationUrl": "string",
"entityUrlTemplate": "string",
"executionUrlTemplate": "string",
"revisionUrlTemplate": "string"
}
--configuration-properties (list)
The configuration properties for the custom action.
Note
You can refer to a name in the configuration properties of the custom action within the URL templates by following the format of {Config:name}, as long as the configuration property is both required and not secret. For more information, see Create a Custom Action for a Pipeline .
Shorthand Syntax:
name=string,required=boolean,key=boolean,secret=boolean,queryable=boolean,description=string,type=string ...
JSON Syntax:
[
{
"name": "string",
"required": true|false,
"key": true|false,
"secret": true|false,
"queryable": true|false,
"description": "string",
"type": "String"|"Number"|"Boolean"
}
...
]
--input-artifact-details (structure)
Returns information about the details of an artifact.
Shorthand Syntax:
minimumCount=integer,maximumCount=integer
JSON Syntax:
{
"minimumCount": integer,
"maximumCount": integer
}
--output-artifact-details (structure)
Returns information about the details of an artifact.
Shorthand Syntax:
minimumCount=integer,maximumCount=integer
JSON Syntax:
{
"minimumCount": integer,
"maximumCount": integer
}
The version identifier of the custom action.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
To create a custom action
This example creates a custom action for AWS CodePipeline using an already-created JSON file (here named MyCustomAction.json) that contains the structure of the custom action. For more information about the requirements for creating a custom action, including the structure of the file, see the AWS CodePipeline User Guide.
Command:
aws codepipeline create-custom-action-type --cli-input-json file://MyCustomAction.json
JSON file sample contents:
{
"actionType": {
"actionConfigurationProperties": [
{
"description": "The name of the build project must be provided when this action is added to the pipeline.",
"key": true,
"name": "MyJenkinsExampleBuildProject",
"queryable": false,
"required": true,
"secret": false
}
],
"id": {
"__type": "ActionTypeId",
"category": "Build",
"owner": "Custom",
"provider": "MyJenkinsProviderName",
"version": "1"
},
"inputArtifactDetails": {
"maximumCount": 1,
"minimumCount": 0
},
"outputArtifactDetails": {
"maximumCount": 1,
"minimumCount": 0
},
"settings": {
"entityUrlTemplate": "https://<IP_ADDRESS>/job/{Config:ProjectName}/",
"executionUrlTemplate": "https://<IP_ADDRESS>/job/{Config:ProjectName}/lastSuccessfulBuild/{ExternalExecutionId}/"
}
}
}
Output:
This command returns the structure of the custom action.
actionType -> (structure)
Returns information about the details of an action type.
id -> (structure)
Represents information about an action type.
category -> (string)
A category defines what kind of action can be taken in the stage, and constrains the provider type for the action. Valid categories are limited to one of the values below.owner -> (string)
The creator of the action being called.provider -> (string)
The provider of the service being called by the action. Valid providers are determined by the action category. For example, an action in the Deploy category type might have a provider of AWS CodeDeploy, which would be specified as CodeDeploy.version -> (string)
A string that identifies the action type.settings -> (structure)
The settings for the action type.
thirdPartyConfigurationUrl -> (string)
The URL of a sign-up page where users can sign up for an external service and perform initial configuration of the action provided by that service.entityUrlTemplate -> (string)
The URL returned to the AWS CodePipeline console that provides a deep link to the resources of the external system, such as the configuration page for an AWS CodeDeploy deployment group. This link is provided as part of the action display within the pipeline.executionUrlTemplate -> (string)
The URL returned to the AWS CodePipeline console that contains a link to the top-level landing page for the external system, such as console page for AWS CodeDeploy. This link is shown on the pipeline view page in the AWS CodePipeline console and provides a link to the execution entity of the external action.revisionUrlTemplate -> (string)
The URL returned to the AWS CodePipeline console that contains a link to the page where customers can update or change the configuration of the external action.actionConfigurationProperties -> (list)
The configuration properties for the action type.
(structure)
Represents information about an action configuration property.
name -> (string)
The name of the action configuration property.required -> (boolean)
Whether the configuration property is a required value.key -> (boolean)
Whether the configuration property is a key.secret -> (boolean)
Whether the configuration property is secret. Secrets are hidden from all calls except for GetJobDetails, GetThirdPartyJobDetails, PollForJobs, and PollForThirdPartyJobs.
When updating a pipeline, passing * * * * * without changing any other values of the action will preserve the prior value of the secret.
queryable -> (boolean)
Indicates that the proprety will be used in conjunction with PollForJobs. When creating a custom action, an action can have up to one queryable property. If it has one, that property must be both required and not secret.
If you create a pipeline with a custom action type, and that custom action contains a queryable property, the value for that configuration property is subject to additional restrictions. The value must be less than or equal to twenty (20) characters. The value can contain only alphanumeric characters, underscores, and hyphens.
description -> (string)
The description of the action configuration property that will be displayed to users.type -> (string)
The type of the configuration property.inputArtifactDetails -> (structure)
The details of the input artifact for the action, such as its commit ID.
minimumCount -> (integer)
The minimum number of artifacts allowed for the action type.maximumCount -> (integer)
The maximum number of artifacts allowed for the action type.outputArtifactDetails -> (structure)
The details of the output artifact of the action, such as its commit ID.
minimumCount -> (integer)
The minimum number of artifacts allowed for the action type.maximumCount -> (integer)
The maximum number of artifacts allowed for the action type.


FIRST KNIGHT A film review by Darrell Rudmann Copyright 1995 Darrell Rudmann
"Another King Arthur story?" I caught myself thinking, sitting in the theatre waiting for the sneak preview to begin. After being forced to sit through hours of medieval films that my brother, a medieval history freak and SCA member, made me watch through childhood, my excitement of seeing this film was to say the least, lacking. What could FIRST KNIGHT add to the story of King Arthur that other stories hadn't already done? (And Richard Gere as Lancelot? What the hell's that all about?)
Surprisingly, the entire film works very well (Gere does a fine job) and adds much to existing King Arthur films. It keeps the sweeping scale of Excalibur, but focuses on the tight circle of the three main characters. Besides interesting choreography and sharp action scenes, FIRST KNIGHT delves into the characters of Lancelot, Lady Guenivere, and King Arthur farther than any other Camelot film that comes to mind. Richard Gere plays the enigmatic Lancelot, a freelance swordfighter of sorts, who's fierce independence is tamed only by his passionate interest for Lady Guenivere, played by Julia Ormond. Of course, before meeting Lancelot, she has promised her hand in marriage to the reverent King of Camelot, Arthur, portrayed by Sean Connery in a kind of role that he does best. The two men clash, both on the battlefield and off, resulting in a refreshingly intimate look at the people behind the legend of Camelot.
Unlike most action scenes nowadays, the fights were actually entertaining and interesting to watch! Large sets were employed to give the viewer a true sense of being in the film--for example, a large Round Table room was made complete with four walls, allowing for camera shots that pan the entire room, instead of the usual "film a corner here, film a corner there." The film uses a number of night shots, which are difficult to film but work wonderfully. King Arthur's troops, in silver armor, ambush another army in nothing but the moonlight, in one scene. The shiny reflections of the armor create an unbelievable sea of twinkling light. Also, look for the recreation of the Gauntlet.
This kind of film-making reminds me of other strong films like A FEW GOOD MEN. Strong acting, clean writing and directing produce a story that is hard not to like. I recommend this film to King Arthur buffs and families alike. Although not appropriate for small children, the film is exciting and enjoyable, and does not employ foul language, any nudity or unnecessary sexuality, nor any gore in the fighting scenes. Sounds impossible? Watch it and see. In wide release July 7th.
-- Darrell S. Rudmann<EMAIL_ADDRESS>California State University, Long Beach PGP Key: finger<EMAIL_ADDRESS>*/
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


A federal Work Opportunity Tax Credit (WOTC) is available to employers who hire a person convicted of a felony within a year of the conviction or the date of release from prison. The tax credit often is $2400.
The Department of Labor offers Free Bonding to Promote Hiring of Workers with Criminal Records. The bond protects an employer against losses related to potential employee theft or dishonesty.
Read More
Be honest. Never lie to an interviewer or put false information on your resume or application. This will disqualify you when the employer does a background check or checks your references.
Keep it simple. Answer questions directly. Address any concerns an employer might have, then steer the interview back to your skills and the positive traits that you bring to the job.
Make a good first and last impression. If possible, try to address your criminal history in the middle of the interview. End with a summary of your qualifications and interest in the job. Emphasize the positive.
Read More


Alex Lammers | WRA Digital Fab 2018
About Me
My name is Alex Lammers and I am a junior day student from Cleveland, Ohio.
Back to index


By looking at the problem from a mathematical perspective, we can start to get an appreciation for the scale of the problem and which solutions will be most effective at solving it. The United Nations Environmental Programme has an interactive infographic on a Six Sector Solution for Climate Change 2 which talks about the way that the solutions must balance individual and government action.
in-context


Backend Interface (BKI) files are scripts in a special language that is understood by the PostgreSQL backend when running in the "bootstrap" mode. The bootstrap mode allows system catalogs to be created and filled from scratch, whereas ordinary SQL commands require the catalogs to exist already. BKI files can therefore be used to create the database system in the first place. (And they are probably not useful for anything else.)
initdb uses a BKI file to do part of its job when creating a new database cluster. The input file used by initdb is created as part of building and installing PostgreSQL by a program named genbki.pl, which reads some specially formatted C header files in the src/include/catalog/ directory of the source tree. The created BKI file is called postgres.bki and is normally installed in the share subdirectory of the installation tree.
Related information can be found in the documentation for initdb.


KaYoni
Mission Statement
Giving women and other entrepreneurs a better future
Women Of Tomorrow
Each and every woman has a voice and we are here to Provide a voice for you babes
Love and Fitness
We proudly support love and physical health. We all need to be on the same page if we ever wish to succeed.
Business Contact Information
<EMAIL_ADDRESS>for any concerns.


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The owner of this site has been sent a notice of this. You will be able to access this site starting tomorrow or next month, depending on the bandwidth over-usage of this site. However, note that if the bandwidth usage
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Upgrade Instructions
If you are the owner of this site, you can re-activate/upgrade your account right away and prevent the above errors from happening again.
You can upgrade here:
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| Additional Benefits of Upgraded Accounts |
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Up to 60 GB of monthly bandwidth allowance |
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Get Rid of All TopCities Banner Ads Forever |
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Enable Hotlinking (Link to Your Pictures From Another Website) |
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POP E-Mail Accounts |
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Auto-Responders, Mailing Lists, Web Mail Access |
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Frontpage Extensions |
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Unlimited Per-File Size |
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Domain Names (YourDomain.com) |
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Detailed Hourly Traffic Stats |
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Enhanced Message Board, Guest Book, Counter, Chat Room, Personal Search Engine, and Rotating Ad Banner Engine |
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Advanced Shopping Cart With SSL Encryption |
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Custom Error Pages (Page Not Found, For Example) |
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Click the board.
Written by Nils Lindemann in 2019.03.10. Sounds taken from Scid. License: Public Domain


Open Big Data Group
This website contains a collection of libraries to be used in processing massive data size in highly distributed and paralleled environment. They are produced by teams at Google and HTC Research Lab , headed by Prof. Edward Chang.
Parallel Latent Dirichlet Allocation
Parallelizing Support Vector Machines on Distributed Computers
Parallel FP-Growth for Query Recommendation
Parallel implementation of Spectral Clustering
Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network


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Please be aware about HTTPS Certificate Warning! Here is some useful information on that...


I am a graduate student at Johns Hopkins University's Whiting School of Engineering. My research interests are intrepretability of deep neural networks, universal domain adaptation, and cross-lingual natural language processing, especially with regards to low-resource languages. In the main, my goal is to support the development of trustworthy Artificial Intelligence and dissolve online language barriers to make the internet equally available to people from all corners of the globe. I also enjoy learning human languages and have studied English, Hindi, Urdu, French, and Italian.
My most starred repo and added to Github's Arctic Vault. A Python/Jupyter notebook project to understand the Inverted Yield Curve and its potential for forecasting a recession.
Learn MoreAn Apache Storm data ingest pipeline that ingests data emitted from Apache Kafka and persists it to ElasticSearch
Learn MoreA demo database of songs developed using Java's GUI-based user interface
Learn MoreAnnoyed with computer related eye strain, created a cron job and python script to remind me to look away from the screen.
Learn MoreNetwork analysis of 7,000+ emails sent by Hillary Clinton and her associates using Jupyter and Networkx.
Learn MoreDeveloped iHillaBot using Tweepy, Python, and the Twitter API. It responds to @mentions with a tweet from Hillary Clinton's FOIA emails.
Learn MoreA talk I gave at NYU on how the public and private sectors can harness drones to create jobs and deliver services.
Learn MorePublished on Slate.com, an interactive map illustrating the drone ecosystem.
Learn MoreCreated an Alexa Skill to test out AWS Lambda (and for the sweet t-shirt). Skill returns the number and names of people in space.
Learn More


The Game (1997)
A movie review by Michael J. Legeros Copyright 1997 by Michael J. Legeros
(Polygram) Directed by David Fincher Written by John D. Brancato, Michael Ferris, and Andrew Kevin Walker Cast Michael Douglas, Sean Penn, Deborah Kara Unger, James Rebhorn, Anna Katerina, Armin Mueller-Stahl MPAA Rating "R" (presumably for violence and profanity) Running Time 128 minutes Reviewed at Mission Valley Cinemas, Raleigh, NC (12SEP97)
==
Michael Douglas is back in the genre that best becomes him, as an emotionally aloof investment banker whose meticulously controlled uni- verse begins to unravel after he accepts a birthday gift from his lower-living brother (Sean Penn). Said gift is a game-- an elaborate, anything-can-happen mindfuck that's custom fit to the recipient's physical and psychological states. What's the objective? What exactly is supposed to happen? No one is willing to talk. Not the former players, not the game's administrators, and not even the CNN financial reporter that begins talking to Douglas' character through the tele- vision set in his living room! Get the idea? Frankly, I found THE GAME to be a bit of a bore.  Maybe it's the pacing-- twists and turns that come a little too fast to be fully savored. Maybe it's the sterility of the events and how nothing *real- ly* sinister happens for an awfully long time. Or, maybe it's just my overactive imagination, which was busy trying to fit what I already knew about the movie-- admittedly too much to begin with-- into the right box inside of the right box inside of the right box. Douglas is great. Director David Fincher (SEVEN, ALIEN 3) is great. Tech credits are superb. All that's missing is the disclaimer: "foreknowledge of this movie may hamper its enjoyment."
Grade: B
-- Mike Legeros - Movie Hell http://www.nonvirtual.com/hell/
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.
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Related links: index of all rec.arts.movies.reviews reviews


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In West African culture, the Sankofa Bird tells the story of a bird that flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that.
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that.
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that.
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that.
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that
flys forward while always looking backward. In African culture, the Sankofa Bird tells the story of a bird that.


{% extends "default.tpl.html" %} {% block title %}Vote{% endblock %} {% block heading %}Thanks for Voting{% endblock %} {% block content %} Your vote has been counted.
At MadHacks, the winners are decided by hackers such as yourself. Thanks for voting.


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The Kessler Effect predicts that the collisions between different peices of space debris will result in an exponential amount of both debris and other collisions. As each peice collides with eachother, they break apart into several more peices, all with different trajectories. This animation is a simulation of the amount of debris produced from the Kessler Effect over the past 30 years.
This simulation demonstrates the effects of debris accumulation over 200 years from the Kessler Effect, but also demonstrates what it would look like with a mitigation program implemented.
There are many proposed solutions for not only collision detection and armour shielding, but also in systems that can safely remove this debris all together.


Love Letter Writing
Description:
Paricipants will be asked to write a love letter. Language- Hindi or English


SSD的学习笔记。
综述
-
Our approach, named SSD, discretizes the output space of bounding boxes into a set of bounding box priors over different aspect ratios and scales per feature map location.
理解：diescretizes？priors？
-
It completely discards the proposal generation step and encapsulates all the computation in a single network.
亮点：makes SSD easy to train and straightforward to intergrate into systems that require a detection component.
介绍
-
Region-based Convolutional Neural Networks(R-CNN) or its faster variants approach detection as a classification problem over object proposals, followed by (optional) regression of the bounding box coordinates.
理解：R-CNN根据selective search选出region proposals，在利用CNN进行分类后，得到一系列的有类别（类别概率）的region proposals。通过nms的方法得到想要的bounding box（？）
-
Given a set of fixed bounding box priors of different aspect ratios and scales, we train a network to select which priors contain objects of interest and adjust their coordinates to better match the object’s shape.
-
In our method, the offset adjustment and confidences for multiple categories of each prior are predicted from the underlying 1x1 feature at each location on a feature map, as opposed to the whole feature map as done in MultiBox and Yolo.
主要的实现方式如下图所示：
理解:？ * The set of bounding box priors we define is in the same spirit as the anchor boxes used in the Faster R-CNN.
分析：
- SSD is the first work to combine the idea of convolutional bounding box priors with the ability to predict multiple object categories.
相关工作
-
Faster-RCNN replaces selective search proposals by ones learned from a region proposal network(RPN), and introduces a method to integrate the RPN with Fast R-CNN by alternating between fine-tuning shared convolutional layers and prediction layers for these two networks. 借鉴了anchor boxes的观点。
-
If we only use one prior per location freom the topmost feature map,our SSD has similar architecture as OverFeat; if we use the whole topmost feature map for predictions instead of using the convolutional priors, we can approximately reproduce YOLO.
实现
- Training
用bi来代表每一个priors.每一个prior都包含bounding box和一系列物体类别的置信度。
预测box的坐标是通过把网络计算出的offsets加到相应的priors上，所有priors和ground truth boxes都是相对于全图的归一化坐标。’解释’ 归一化的坐标使得我们不必担心输入图片的大小问题。
- 匹配问题
本文不定期更新。


--- layout: tweet ---
Lunch with the family. Hot pot, here we come!
3/23/2009, 11:35:58 AM
Favs: 0
Retweets: 0


Join by Location (aka Spatial Join)
A common GIS task is to join the attributes from one spatial data layer to another.
In this example we will join attributes from a polygon layer to a points layer, based on which polygon contains the points.
The following exercise uses data from:
1. Workshop Data 2015-03 PART THREE Taiwan
1. Workshop Data 2015-03 PART THREE Taiwan
- For this exercise, we'll use a set of points showing power plant sites in Taiwan from the CARMA database
- Add Vector Data, set UTF-8 encoding, and browse to part_three/Taiwan_CARMA_Xian80.shp
- Right click on the Layer in the Layer List and the General tab, to check the Coordinate Reference System (projection) for this layer
- Note that it is in Projected CRS, EPSG:2333. Cancel the Properties Dialog window.
- Target Points layer should be ready for the join
- Add Vector Layer and browse to the part_three/tw_pop_xian80.shp layer, encoding = big5
- Click on the tw_pop_xian80 layer in the layer list and drag it below the Taiwan_CARMA layer. Now the points should be on top of the polygons in the Map View
- Right click on the tw_pop_xian80 Layer in the Layer List and the General tab, to check the Coordinate Reference System (projection) for this layer
- Note that tw_pop_xian80 is in the Projection: CRS EPSG 2333, Xian 1980 Zone 19
- This is the same projection as the target layer, so we can proceed with the Spatial Join
- If the Join layer was in a different projectiion we would need to reproject the join layer first, as illustrated in the following step
- Add Vector Layer and browse to the part_three/tw_pop_xian80.shp layer, encoding = big5
- Click on the tw_pop_xian80 layer in the layer list and drag it below the Taiwan_CARMA layer. Now the points should be on top of the polygons in the Map View
- Right click on the tw_pop_xian80 Layer in the Layer List and the General tab, to check the Coordinate Reference System (projection) for this layer
- Note that tw_pop_xian80 is in the Projection: CRS EPSG 2333, Xian 1980 Zone 19
- This is the same projection as the target layer, so we can proceed with the Spatial Join
- If the Join layer was in a different projectiion we would need to reproject the join layer first, as illustrated in the following step
Proceed to Spaital Join Instructions


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The Art of Computer Programming: Fundamental Algorithms
Table of Contents
1. Chapter 0: Notes on the Exercises
2. Chapter 1: Basic Concepts
Text Book List
1
Chapter 0: Notes on the Exercises
2
Chapter 1: Basic Concepts
Author: Tatsu
Created: 2020-07-04 Sat 12:59
Validate


|
G24Lib
A set of convenient classes, functions and other utilities mainly for quickly writing numerical code. Provides relatively easy integration with CUDA, general Runge-Kutta methods, linear equation solvers and more.
|
Several compile time utilities, the most relevant of which is a limited form of compile time reflection for structs. More...
Go to the source code of this file.
Classes | |
| struct | g24_lib::internals::any_sized_int< size, with_sign > |
| Represents an integer type with a specific number of bytes. More... | |
| struct | g24_lib::class_info< T, ignore > |
| Provides a limited form of compile time reflection. More... | |
| struct | g24_lib::flat_imitation_struct< T > |
Constructs a struct that has every scalar member of all the members of a class (at all levels of inclusion) based on compile time reflection from g24_lib::class_info . More... | |
| struct | g24_lib::nested_imitation_struct< T > |
Constructs a struct that has the members of a class based on compile time reflection from g24_lib::class_info . More... | |
Namespaces | |
| g24_lib | |
| The namespace where all the library resides. | |
| g24_lib::internals | |
| A namespace where several implementation details are stored. When possibly relevant, they are documented here, but, being implementation details, they should not be used by the end users! | |
Typedefs | |
| template<g24_lib::Definitions::default_unsigned_indexer size> | |
| using | g24_lib::signed_integer = typename internals::any_sized_int< size, true >::type |
| Represents a signed integer type with a specific number of bytes. More... | |
| template<g24_lib::Definitions::default_unsigned_indexer size> | |
| using | g24_lib::unsigned_integer = typename internals::any_sized_int< size, false >::type |
| Represents an unsigned integer type with a specific number of bytes. More... | |
Functions | |
| template<typename T > | |
| constexpr std::string_view | g24_lib::compile_time_type_name () |
| Provides a compile-time type name based on a non-portable trick involving compiler specific macros. More... | |
Several compile time utilities, the most relevant of which is a limited form of compile time reflection for structs.
Definition in file compile_time_utilities.h.


Rules: Each character is always converted to the same color (but different characters can sometimes have the same color)


|
Custom Libraries for Propeller
1.5
List of custom libraries
|
TFmini LiDAR Driver. More...
Go to the source code of this file.
Functions | |
| int | tfmini_open (int Rx, int Tx) |
| open connection to device More... | |
| int | tfmini_distance (void) |
| get distance measurement More... | |
| int | tfmini_strength (void) |
| get strength of measurement More... | |
| int | tfmini_temperature (void) |
| get temperature of unit More... | |
| void | tfmini_setUnits (int units) |
| set measurement units More... | |
| void | tfmini_setRate (short rate) |
| set update rate More... | |
TFmini LiDAR Driver.
| int tfmini_distance | ( | void | ) |
get distance measurement
| int tfmini_open | ( | int | Rx, |
| int | Tx | ||
| ) |
open connection to device
| Rx | receive data pin |
| Tx | transmit data pin |
| void tfmini_setRate | ( | short | rate | ) |
set update rate
| rate | 1 - 1000 Hz |
| void tfmini_setUnits | ( | int | units | ) |
set measurement units
| units | 1-cm, 2-mm |
| int tfmini_strength | ( | void | ) |
get strength of measurement
| int tfmini_temperature | ( | void | ) |
get temperature of unit


CLASSIC CINEMA 101: STEVEN SPIELBERG'S JAWS A review excerpt by Joe Barlow (c) Copyright 1999 - All Rights Reserved
STARRING: Roy Scheider, Richard Dreyfess, Robert Shaw, Lorraine Gray DIRECTOR: Steven Spielberg WRITERS: Peter Benchley and Carl Gottlieb RELEASED: 1975
"You yell 'Barracuda!' and everyone says, 'Huh? What?'; You yell 'Shark!' and we've got a panic on our hands on the Fourth of July." --Larry Vaughn, Mayor of Amity, Jaws
In 1975, a young director named Steven Spielberg single-handedly created a new movie genre--the summer blockbuster. The twenty-five year-old moviemaker's third film, Jaws, shook the industry with such force that its effects are still being felt today. It forever shattered Hollywood's belief that people don't watch movies during the summer; for this reason alone, every action extravaganza that followed it, from Star Wars to Independence Day to Spielberg's own Jurassic Park and The Lost World, owes a debt of gratitude to this tale of terror. Jaws continues to serve as a benchmark of suspense cinema, and still retains its visceral power nearly a quarter-century after its initial release.
Moonlight sparkles on the ocean. A nude swimmer plunges into the cool water, splitting the waves with a splash. She swims. She floats. She laughs. She dies.
Martin Brody (Roy Schieder), the chief of police in the idyllic seaside town of Amity, is quick to react to the news of the shark attack. He sensibly believes the beaches should be closed until the leviathan can be vanquished. The townsfolk, however, are less certain: Amity is a summer town which depends on tourist dollars for its survival. Every day the beaches are closed, the town grows poorer; although Brody believes that safety is the more important concern, he is overruled by Mayor Vaughn (Murray Hamilton). Soon the beaches are open once again... with disastrous results.
Brody calls for help from the Oceanographic Institute, and a young shark expert named Matt Hooper (Richard Dreyfuss) is sent to assist. The duo teams up with a crusty local salt named Quint (Robert Shaw), who offers to kill the shark--for a fee, of course.
The story at the heart of Steven Spielberg's Jaws revolves not so much around the creature which has taken up residence in the waters of Amity, but around the townsfolk who are forced to deal with the consequences of its presence. It's a subtle distinction, but it makes all the difference. Jaws is not a monster flick; it's the story of three men facing a seemingly insurmountable force of nature. In keeping the emphasis on the characters rather than the shark, as the film's three wretched sequels did, Spielberg crafted a cinematic work that still fascinates and mesmerizes. Human moments dominate the tale--take a look at the oft-parodied "injury comparison" scene aboard Quint's boat, the Ocra, and tell me whether you saw anything so clever or affecting in, say, Independence Day.
(The rest of this review can be found at: http://www.ipass.net/~jaws.htm )
(c) Copyright 1999 by Joe Barlow. All rights reserved.
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


Project One
Discription
I started my idea for project one with water, I wanted to create this page that sinks with water. I just thought it would look nice if I could make it related to time. But I felt like my idea wasn’t clear so I had to connect it with a concept. I thought why not make it an awareness of saving water since individuals are never extremely mindful of how much water they waste, but if they get to visualize it they will consider how to utilize water less. I needed to connect this to the cape town water crisis since it left an entire city nearly come up short on water. People were told not to flush the toilets in public places, which is a very big safety hazard that can spread infection, creating even more chaos. It was told that showering shouldn't take longer than two minutes and that it's better to reuse water. Toward the end, individuals began truly focusing on how they utilized water which truly helped saving cape town from drought. They’ve banned filling pools and fountains since they can be consuming. For now, the issue in cape town is tackled yet the hazard is still there and the issue can rise once more. I felt like if I wanted to show how much water we waste then we should visualize it, so I got a few informational indexes online that I figured I could use for my code. It’s a data set from a single city in the united states. It indicates the high utilization of water and how it changes consistently. I explored it more and utilized that data to fuse in my code. My data sets incorporated the years from the 1980s to 2018, yet I chose to simply go with the years from 2013 - 2015. It's better to demonstrate the ongoing years with the goal that individuals perceive how it grows rapidly. Toward the start of testing, I wanted to go with Perlin Noise and add it to my Data code, but I realized that it was unnecessary and there are numerous different ways about how I could communicate my ideas, I looked at some processing examples and it truly helped me to begin with my code. I decided to go with a circle with rotating lines, in which the length of the lines represent the year, the colors represent the year after or before 2015, and the speed of the movement determines how much water is wasted, the faster it means more water consumption. So I ended up going with that as my final idea, which I started working on. But I had a lot of difficulties since it was the first time using a data set with coding, I needed to play a ton with the information and attempt to figure how I can make my information control my code and how it works.i took a lot of trials but I was to go finish the final one.
go to home page


This is week 4 at Dev Bootcamp and we are finally learning (or re-learning) Ruby! We were assigned with many challenges this week, but fortunately because most (all) of us have prior exposure to Ruby, the challenges were relatively easy. In this week's blog I would like to introduce the concepts of array and hash. Array and hash are containers that collect objects, which can be anything from integers, strings, other arrays, hashes, classes, true and false. The difference between array and hash is that an array stores objects in a sequential order. Whereas hash stores objects in paris, each pair consisting of a key and a value. And one gets to use the key to retrieve the value. It is important to note that in Ruby, hash keys are unique per hash and that there is only one key/value pair for any given key.
In other words, an array is a hash where the keys happen to be consecutive integers that starts with 0. To create an array, there are two ways I'd like to introduce here, the first is by using the Array.new method, which lets you specify the size of the array and initialize its contents. The second, and more convenient way to introduce an array is by using the literal array constructor arr = []. To emphasize, each item in an array takes a numbered position. The first position is position zero.
Hash differs from array mostly because objects are not contained in sequentially ordered list. Instead, objects are each assigned to a unique key that can be called to retrieve the value stored. To create a hash, one can use the traditional new constructor: Hash.new, which creates an empty hash. a more convenient way to create a hash is by using the curly braces. For example, one can create a hash by simply writing my_hash = {:key1 => "value", :key2 => "value2"}.


Speaker is VP Engineering in AppsFlyer
It all starts with working together.
The term "DevOps" holds much more than just a new job description for operation people.
For us, it is a way of life.
We create our own flavour of DevOps organization, including system ownership, combined teams, tools and much more.
This will be our chance to share our good experience about how it can actually be done and why it might be good for you, your DevOps team and your business.
- AppsFlyer: More that 8,000,000,000 event per day.
- Good DevOps requires an organization-level decision.
- Ownership - who is responsible for the product including its operations?
- Blameless Environment or "Cake-driven Development"
- Monitoring is critical.
- Infrastucture level: Disk space, CPU, Network traffic
- Application level: Number of clicks, number of installs, organic, non-organic, etc.
- External: How external system and users can access the service.
- End-to-end testing to measure the User Experience at any given point in time.
- It is critical to be able to replace technology.
- Joined teams - or - "Everyone is DevOps"
- Release It by Michael T. Nygard
4 key things you can do
- Build monitoring into the system.
- Watch the DevOps team work for a few hours a day to understand how they work.
- Design the system together.
- Learn about your infrastructure.


| 2004 |
| Flickr |
photo sharing community website by Ludicorp, later bought by Yahoo! |
| CSS Sprites |
optimisation technique introduced by Dave Shea that connects several smaller graphic elements into one larger image, placed on the website using the background-position feature |
| Mozilla Firefox 1.0 |
multiplatform web browser with higher security, better web standards support, as well as with a number of plug-ins that could be additionally installed |
| Facebook |
the social network is launched |
| Anonymous |
international collective of hacktivists |
| Subservient Chicken |
one of the first viral websites, from Burger King, by CP+B |
| Carl de Keyzer |
one of the earliest professional photography portfolios from a Magnum photographer, by group94 |
| Saints and Soldiers |
one of the earliest websites using the parallax effect, by Funktion12/RED Games |
| The Zoomquilt |
collaborative illustration using the infinite-zooming effect, by Nikolaus Baumgarten |
| 2005 |
| YouTube |
website for publishing and sharing video files launched by Chad Hurley, Steve Chen and Jawed Karim, later bought by Google |
| Google Maps |
the online maps goes live |
| Reddit |
social network by Steve Huffman and Alexis Ohanian |
| Adobe purchased Macromedia |
ColdFusion, Captivate, Director, Dreamweaver, Fireworks, Flash, Flex, FreeHand, and HomeSite were integrated to the Adobe software package |
| The Million Dollar Homepage |
commercial Internet community, created by the 21-year-old Alex Tew, selling 1 dollar pixels |
| Wedding Crashers |
first website using the upload-your-face idea, by Tequila |
| Corpse Bride |
movie website with an outstanding production level, by Blitz |
| Dream Kitchens for Everyone |
first website using the frozen-moment photography effect, by Forsman & Bodenfors |
| Screenfull |
cacophonous, multi-layered digital collage, by Abe Linkoln and Jimpunk |
| 2006 |
| jQuery |
introduction of the jQuery JavaScript library for the interaction between JavaScript and HTML, by John Resig |
| Django |
release of Python-based free and open-source web framework |
| Smashing Magazine |
website with regular news from the world of web design, user experience, or web development, by Sven Lennartz and Vitaly Friedman |
| Sass 0.1.0 |
introduction of a CSS preprocessor called Sass 0.1.0 (Syntactically awesome style sheets), by Hampton Catlin and Natalie Weizenbaum, in which are added variables, mixins, selector inheritance, nesting rules, arithmetic operators, and other features to the CSS syntax |
| twttr |
later known as twitter, the website is launched |
| Wikileaks |
non-profit organisation publishing classified and secret information |
| Would You Like a Website? |
website by Adobe Design Center that took their employees to the streets with video sandwich boards, by Freedom Interactive Design |
| Nike Air |
high development in user-interactive motion graphics, by Big Spaceship |
| Flash Earth |
early development of online maps that later became known with Google Earth |
| Nasty Nets |
collaborative blog created to share media artifacts found while exploring the internet, along with original compositions and collages, by John Michael Boling, Joel Holmberg, Guthrie Lonergan, Marisa Olson, et al |
| 2007 |
| iPhone |
Steve Jobs introduced the first Apple smartphone model |
| CSS-Tricks |
website for designers with css support |
| Behance Network 1.0 |
community platform for designers, photographers, and artists to show their online portfolios, Scott Belsky, later bought by Adobe |
| CSS Grid |
W3C specification for the CSS Grid to simplify the creation of complex layouts |
| tumblr |
the website is launched |
| Google street view |
Google implementation in Google Maps |
| Get the Glass |
highly creative game using 3D and video, by North Kingdom |
| Levi’s Cooper Jeans |
first 100% HTML website winning the FWA Site of the Day, by Ogilvy Worldwide |
| Good Things Should Never End |
the first website using infinitescrolling, by Poke |
| Domestic Tension |
interactive networked performance in a gallery space, by Wafaa Bilal |
| Amazon |
|
|
An American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. |
| Apple |
|
|
An American multinational technology company headquartered in Cupertino, California, that designs, develops and sells consumer electronics, computer software, and online services. |
| Microsoft |
|
|
An American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services. |
| Nintendo |
|
|
A Japanese multinational consumer electronics and video game company headquartered in Kyoto. The company was founded in 1889 as Nintendo Karuta by craftsman Fusajiro Yamauchi and originally produced handmade hanafuda playing cards. |
| Adobe |
|
|
An American multinational computer software company. Incorporated in Delaware and headquartered in San Jose, California, it has historically focused upon the creation of multimedia and creativity software products, with a more recent foray into digital marketing software. |


Enum ImageUnits
AutoCAD units for inserting images.
Namespace: netDxf.Units
Assembly: CADability.dll
Syntax
public enum ImageUnits
Remarks
This is what one AutoCAD unit is equal to for the purpose of inserting and scaling images with an associated resolution.
Fields
| Name | Description |
|---|---|
| Centimeters | Centimeters. |
| Feet | Feet. |
| Inches | Inches. |
| Kilometers | Kilometers. |
| Meters | Meters. |
| Miles | Miles. |
| Millimeters | Millimeters. |
| Unitless | No units. |
| Yards | Yards. |


May 10
We have also a more sure word of prophecy; whereunto ye do well that ye take heed, as unto a light that shines in a dark place, until the day dawn, and the day star arise in your hearts.
2 Peter 1:19
Sometimes when we need insight into a problem, we try to get it by focusing our attention on that problem. We study it. We ponder it. We examine it from every angle. But the Apostle Peter gives us a different approach. He says we should take heed (or focus our attention) to the written Word of God until the answer to that problem dawns on us through the light of revelation.
We use the term "seeing the light" in natural things all of the time. We say, "Have you seen the light on that yet?" meaning, "Do you have insight into that situation?" Well, the entrance of God's Word into our hearts brings spiritual light (Ps. 119:130). It brings the insight we need.
Have you ever been in a dark room and tried to find your way out? Or lost outside in the night? What is the first thing you look for in these situations? Light!
It could be coming from under the door or shimmering from a lamp in a house far off. But either way, you head straight for it. You don't waste your time studying the darkness. You don't focus your attention on that. You fix your eyes on the light because you know its brightness will drive out the confusion of the darkness and orient you to your surroundings.
If you need insight on some problem or situation you're facing, pay attention to the Word. Head for the Light and the answer you need will dawn on you.
Scripture Reading: John 1:1-9


Ninth family member dies after Israeli airstrike
by afpA Palestinian wounded in an Israeli strike that killed eight members of his family has died, the health ministry in the Hamas-run strip said on Friday.
Mohammed Abu Malhous al-Sawarka, 40, succumbed after being wounded in "the massacre in which eight members of a family died when they were targeted in their homes," ministry spokesman Ashraf al-Qudra said in a statement.
It said he was the brother of Rasmi Abu Malhous who was killed when his home was hit by an airstrike on November 14.
Five children and Rasmi's two wives were also killed.
Israel has pledged to investigate the incident, saying that their intelligence reports had indicated "no civilians were expected to be harmed".
Israel described Rasmi as an Islamic Jihad commander, but Gaza residents have suggested it may have been a case of mistaken identity.
The three-day flareup began when Israel killed a senior Islamic Jihad official in Gaza on November 12.
The Islamist group, which is closely allied with Gaza's rulers Hamas, subsequently fired more than 450 rockets at Israel.
During the confrontation Israeli forces attacked dozens of targets in the enclave.
Palestinian officials said 35 Palestinians were killed and more than 100 wounded. There were no Israeli fatalities.


Pointer traversals pose significant overhead to the execution of object-oriented programs, since every access to an object’s state requires a pointer dereference. Eliminating redundant pointer traversals reduces both instructions executed as well as redundant memory accesses to relieve pressure on the memory subsystem. We describe an approach to elimination of redundant access expressions that combines partial redundancy elimination (PRE) with type-based alias analysis (TBAA). To explore the potential of this approach we have implemented an optimization framework for Java class files incorporating TBAA-based PRE over pointer access expressions. The framework is implemented as a classfile-to-classfile transformer; optimized classes can then be run in any standard Java execution environment. Our experiments demonstrate improvements in the execution of optimized code for several Java benchmarks running in diverse execution environments: the standard interpreted JDK virtual machine, a virtual machine using “just-in-time” compilation, and native binaries compiled off-line (“way-ahead-of-time”). We isolate the impact of access path PRE using TBAA, and demonstrate that Java’s requirement of precise exceptions can noticeably impact code-motion optimizations like PRE.
@inproceedings{Hosking+1999IWAOOS, author = {Hosking, Antony L. and Nystrom, Nathaniel and Whitlock, David and Cutts, Quintin and Diwan, Amer}, title = {Partial Redundancy Elimination for Access Path Expressions}, booktitle = {ECOOP Workshop on Aliasing in Object Oriented Systems}, series = {IWAOOS}, year = {1999}, editor = {Noble, James and Vitek, Jan and Lea, Doug and Almeida, Paulo Sergio}, month = {June}, address = {Lisbon, Portugal}, doi = {10.1007/3-540-46589-8_8} }


The selected backup is part of an incremental backup. Below are the files ({{unitLogs.length}}) involved . The restore will use all the files stored in {{restored.log.path}} to restore the database.
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| {{ u.mode }} | {{ u.timestamp | date : 'medium'}} | {{ u.fileName }} | {{ u.fileSize | toSizeString }} |
The selected backup event ({{restored.log.mode}}) is part of a backup. Below are the files ({{unitLogs.length}}) involved. All the backups done after the selected ( {{ restored.log.fileName }} ) backup will be deleted (Marked in red).
| Mode | When | File Name | File Size |
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| {{ u.mode }} | {{ u.timestamp | date : 'medium'}} | {{ u.fileName }} | {{ u.fileSize | toSizeString }} |


Background:
With the new analysis of seal H3N8 released, I have decided to check the effect of the mutations that I suggested that Islam try out, based on an analysis of the receptor binding pocket.
Data:
I downloaded 4WA2 from the RSCB PDB, for the following reasons:
- It is the seal HA structure published in Yang et. al. (JVI, 2015)
- It has 3-SLN (Glyko® 3'-Sialyl-N-acetyllactosamine (3'-SLN),
-
- chemical form (copied from http://www.prozyme.com/product_details.html?key=GKAD-01014)
- This has an alpha(2,3) form.
Analysis Steps:
Firstly, I made sure that the 4WA2 sequence is the same as the Seal H3N8 sequence that I have on hand. I did this quick-and-dirty by using Clustal Omega on
EMBL-EBI.
Sequence 1: 4WA2 Chain A
Sequence 2: Seal H3N8 from this
note.
Alignment result: The alignment is perfect. See PDF below:
Next, I took the 4WA2 protein sequence, and made the following mutations:
I submitted all of these sequences to SwissModel for homology modeling using 4WA2 as the template file.
When searching for the mutations, note that the atom numbering changes.
- 225 is now 217.
- 226 is now 218.
- 228 is now 220.
To show ligands, do S —> organic —> sticks
The current logic behind my current analysis is as such: If SwissModel is able to model in the ligand at the positions that are mutated, then that means there were no clashes between the sugar molecule and the amino acid side chains in the receptor binding site. This would indicate that the mutation would not be important for a receptor binding specificity switch from alpha(2,3) to alpha(2,6). Vice versa.
The mutations in 226 and 228 did not permit the sugar molecule to be modelled in. This suggests that they may allow for alpha(2,6) glycans in there, but I will need to test this by actual molecular docking.
Next up, I followed the AutoDock Vina tutorial video’s instructions to prepare PDBQT files for docking, including configuration files. They are currently located in the /Users/ericmjl/vina_modelling folder.
I have put the log files recording the binding affinity scores in the table below.
|
Structure
|
3SLN
|
6SLN
|
|
4WA2
|
|
|
|
G225D
|
|
|
|
Q226I
|
|
|
|
G228S
|
|
|
|
G225D_Q226I
|
|
|
|
G225D_G228S
|
|
|
|
Q226I_G228S
|
|
|
|
G225D_Q226I_G228S
|
|
|
A quick check of 4WA2-3SLN against the original 4WA2 structure showed that 4WA2-3SLN was incorrectly docked. I will have to change the grid size to (10, 12, 10), and changed the grid centre to (-36.333, 37.111, 19.000). This will be done on Monday.
02 March 2015 9:35:AM
Here we go with the new round of molecular docking! Based on the last round of molecular docking, I found that 3-SLN was not docked correctly into 4WA2. This may have to do with the overly-broad search space given to the program. I have narrowed the search space down, and this time, I have saved the configuration files used for each molecule.
I learned that the 4WA2-3SLN was not docked correctly, because I did not do the following:
- Remove ligand from 4WA2 molecule (use UCSF Chimera to do this).
- Remove solvent molecules (in UCSF Chimera)
- Made all ligand bonds non-rotatable (in Autodock Tools)
For the rest of the homology models of the single point mutants, I only had to do the following:
- Add polar hydrogens (in Autodock Tools)
|
Structure
|
3SLN
|
6SLN
|
|
4WA2
|
Config:
Report:
Best Structure:
Affinity: -7.1 kcal/mol
|
Config:
Report:
Best Structure:
Affinity: -6.7 kcal/mol
|
|
Q226I_G228S
|
Config:
Report:
Best Structure:
Affinity: -5.4 kcal/mol
|
Config:
Report:
Best Structure:
Affinity: -7.2 kcal/mol
|
|
Q226I
|
Config:
Report:
Best Structure:
Affinity: -6.2 kcal/mol
|
Config:
Report:
Best Structure:
Affinity: -6.1 kcal/mol
|
|
G228S
|
Config:
Report:
Best Structure:
Affinity: -6.4 kcal/mol
|
Config:
Report:
Best Structure:
Affinity: -6.3 kcal/mol
|
Interpretation:
Binding affinity energies indicate how good the ligand will bind inside the designated receptor binding pocket. I first showed that the docking program will re-capitulate 3-SLN binding in 4WA2 properly, with a rigid ligand that does not rotate around any of its chemical bonds. With the same rigid configuration for 6-SLN obtained from 4KON, I show that it will bind more favourably to the Q226I-G228S mutated seal protein. As expected as well, single-mutated proteins have only intermediate binding affinities ~6.2-6.4 kcal/mol.
Based on the data, I have made the following structural models:
3-SLN in 4WA2
6-SLN in Q226I-G228S-mutant model
Bar charts are as such:
Made entirely in the following IPython notebook: