--- layout: post title: The Cabbage Fraudster date: 2010-10-04 01:01:08.000000000 +05:30 categories: - essays - random tags: [] status: publish type: post published: true meta: _edit_last: '1' _wp_old_slug: '' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: '' last_name: '' ---
[caption id="" align="alignright" width="300" caption="As I was following"][/caption]
So a friend of mine, who'd read my earlier post, was right. The cabbage seller turned out to be a scammer.
I'm pissed. As I opened up my office today, he wandered in with his cycle of vegetable, asking for help with his daughters education. Long story short, I told him off, confronted him, and asked for the paper with the fake list of books. He refused, and started started walking away, pleading me to let it be. I tagged along to wherever he went for the next few minutes. He finally succumbed, and tore the sheet of paper. I told him to never come on this street again.
I'm not sure what to think. He clearly could be making a decent wage given his grasp of english. On the other hand who knows what lead him to this.
:/


Decision Trees 101
Before lookin at those, your going to need to know:
- Decision trees are recursive diversity reduction algorithms
- Find the split that most reduces diversity
- Recurse on each split.
- Stop when (e.g.) too few examples in each split.
RandomForests says "if one tree is good, why not build 100?"
- each time, grab (say) log(N) of the attributes and some percent of the rows
- build N trees
- make a conclusion by voting across the forest
Example1
- let us measure diversity using standard deviaton
- sqrt((∑ square(x - μ))/(n-1))
- standard deviation σ of 9,2,5,4,12,7 has μ = 6.5 and σ=3.619.
- Learners like CART and M5prime and Random Forest Regressorts used standard deviation.
- Why? Cause these learners predict for numeric class variables.
Example2:
let us measure diversity using entropy; i.e. -1 ∑ plog2(p)
e.g. 1 orange, 1 apple, 2 bananas, and 4 grapes
- occur at probability 1/8, 1/8, 1/4, and 1/2
- 8 =2*2*2 so log2( 1/8 ) = -3
- 4 =2*2 so log2( 1/4 ) = -2
- 2 =2 so log2( 1/2 ) = -1
- what is entropy of (o,a,b,b,g,g,g,g)
- -1 * (1/8*-3 + 1/8*-3 + 1/4*-2 + 1/2*-1)
- = -1 * (1/8*-3 + 1/8*-3 + 2/8*-2 + 4/8*-1)
- = -1/8 * (-6 + -4 + -4)
- = 14/8
- = 1.75
Learners like decision trees and random forests use entropy
- Why? Cause these learners predict for symbolic class variables.
Example3:
What is the best split for this data?
Here are the options (note that this is four different splits):
Consider the outlook tree. We have three sub-branches so the expected value of the diversity after the split is
- 5/14 * entropy of sunny split
- 4/14 * entropy of overcast split
- 5/14 * entropy of rainy split
The overcast split is easy:
- we only have yes so p(yes) = 1 and log2(p) = 0
- and 4/14 is zero
The sunny and rainy split are symmetric
- sunny: 2 yes and 3 no = -1 * (2/5 * log2(2/5) + 3/5 * log2(3/5)) = 0.97
- raning: 3 yes and 2 no = same entropy as sunny
So the expected value after the outlook split is
- (5/14 * 0.97) + (4/14 * 0) + (5/14 * 0.97) = 0.69
(BTW, this is an improvement since before the split we have 9 yes, 5 no; ie. entropy was 0.94; i.e. more diversity).
If we repeat this calc over all splits, we get
- outlook split: 0.69
- temperate split: 0.91 = humidity split: 0.79
- windy split: 0.89
So we would split on outlook.


{# This is a tornado Template #}
{# Usually, you'd want to load scripts from a local copy, so that #} {# they're available even when you don't have network access #} {# firebugx.js ensures we can use console.log on some older browsers#} {# static_url() is a function explicitly passed in from the handler, this #} {# is tornado specific and might not work in another template engine #} {# it returns a url for fetching the file from the local server, #} {# using content versioning, so caches are updated when (and only when) #} {# you change files. make sure you pass "static_path" to get_server() #} {# in app.py #} {# jquery forever #} {# for local copy, download the script under 'scripts/vendor', and use the following line#} {# #} {# Uncomment if you want underscore.js#} {# for local copy, download the script under 'scripts/vendor', and use the following line#} {# #} {# provides the 'app' object with start() method #}


Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
| Version: | 2.8 |
| Depends: | R (≥ 3.4.0), car, lpSolveAPI |
| Published: | 2018-12-09 |
| Author: | Dong-Joon Lim, PhD |
| Maintainer: | Dong-Joon Lim <tgno3.com at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | DJL results |
| Reference manual: | DJL.pdf |
| Package source: | DJL_2.8.tar.gz |
| Windows binaries: | r-devel: DJL_2.8.zip, r-release: DJL_2.8.zip, r-oldrel: DJL_2.8.zip |
| OS X binaries: | r-release: DJL_2.8.tgz, r-oldrel: DJL_2.8.tgz |
| Old sources: | DJL archive |
Please use the canonical form https://CRAN.R-project.org/package=DJL to link to this page.


WITNESS LIST Judicial Affairs Committee March 8, 1999-3:00P HB 116 On: Brady-Strange, Hugh (City of Austin) HB 116Committee Substitute (CSHB 116) For: Blumberg, Daniel E. (Self) HB 221 For: Harrington, Jim (Texas Civil Rights Project) HB 777 For: Jones, Jerry (Texas Academy of Probate Attorneys) Registering, but not testifying: For: Herman, Judge Guy (Statutory Probate Judges of Texas) HB 778 For: Jones, Jerry (Texas Academy of Probate Attorneys) HB 778Committee Substitute (CSHB 778) Jones, Jerry (Texas Academy of Probate Attorneys) Registering, but not testifying: For: Herman, Judge Guy (Statutory Probate Judges of Texas) HB 1142 Registering, but not testifying: For: Streater, Joy (County & District Clerks Association) HB 1309 For: French, Kirk (Self) Keeney, Rick (Self and Texas Professional Process Servers Association) Waynick, Edward (North Texas Process Servers Association) Against: Elfant, Bruce (Self and Tex. Ass'n of JPs & Constables/Jerry Kunkle) Sallas, Jim (Harris Co. Deputies Organization) Warndof, Donna (Justices of the Peace & Constables Association) On: Mintz, David (Texas Apartment Association) Registering, but not testifying: Against: Freeman, Gary (Self and Tex. Justices of the Peace & Constables Ass'n) Kunkle, Jerry (Justices of the Peace & Constables Association) HB 1313 For: Burgess, Don (Self and Ninth Court of Appeals) Registering, but not testifying: Against: Powell, Judith D. (Self) Powell, Steve (Self) HB 1603 Registering, but not testifying: For: Bauerle, Janice (Self and National Safety Council) Draper, Robert (Self and Nat'l Traffic Safety Institute/TATSP) Kendall, Terrence (USA Training Co., Inc.) Ray, Beth (Self and DriveSafe) HB 1603 Committee Substitute (Hartnett/CSHB 1603) For: Bresnen, Steve (USA Training)


Your Reddit tokens were retrieved successfully. You can now close this page and start using redgit.
redgit
<%= accessToken %>
<%= refreshToken %>


|
Name
|
Type
|
Description
|
| bandwidthBps | xsd:long |
If the host acts as the sender, it's the value for the maximum achievable
bandwidth and if the host acts as the receiver, it's the value for the
actual network bandwidth in byte per second in the test
|
| client | xsd:boolean |
True indicates the host will act as the sender to send the network packets
to other host(s) in the network performance test
|
| hostname | xsd:string |
The host name
|
| jitterMs | xsd:float |
The network packet jitter in millisecond in the network performance test.
It shows the average packet latency between sender and receiver. This value
will only be set for the host acting as receiver
|
| lossPct | xsd:long |
The percentage for the lost datagrams in the network performance test. This
value will only be set for the host acting as receiver
|
| lostDatagrams | xsd:long |
The number of lost datagrams in the network performance test. This value
will only be set for the host acting as receiver
|
| sentDatagrams | xsd:long |
The total number of sending datagrams in the network performance test. This
value will only be set for the host acting as receiver
|
| status | xsd:string |
The host network load test status. For multicast, the status will be in red if the speed
is less than 20 MB/s, the status will be yellow if the speed is between 20MB/s and 50MB/s
and it's green if the speed is larger than 50MB/s; For unicast, the status will be red if
the speed is 0 Mb/s, and yellow if the speed is less than 850 Mb/s, the status will be
green if the speed is larger than or equal to 850 Mb/s.
|
| totalBytes | xsd:long |
The total received or sent packet bytes in the network performance test
|
|
Properties inherited from DynamicData |
| None |


Personal information, such as a medicines used and their doses, that is entered by the user, is stored and displayed on the local device only.
No personal information is ever transmitted from the MedsStockTracker app to anyone or any server.
The only way to send the information to another device is for the user to actively click on the "share" button and select to share that information. The user then selects with whom to share the information.


Treasure hunt
For those who didn't solve the easy steganography challenge, there are some hints:
- Look more carefully at the file and spot a place good for writing interesting stuff inside it.
- There's an interesting base64 encoded string encrypted in an usual way.
- Extract a small power of two bits from the funny colors. Don't forget to test the bits in reverse order.
Also, do not forget to mail me if you are in trouble<EMAIL_ADDRESS>and stay tuned for more hints, good luck!
- The solutions from yesterday's treasure hunt problems are here. Check them out to learn how could you solve all the challenges.
- Here is a presentation where you can find some tips and tricks about solving the stegano challenges.
- After you solve the easy problems, come to a Bitdefender judge around the camp to show him, and he will give you the password for the medium challenge.
- After you solve the medium stegano challenges, show it to a Bitdefender judge and you will get the big prize.
- For the students who did not reach too far in the treasure hunting challenge, there will be envelopes around the camp with different non-technical challenges. All the instructions are in the envelopes, so go find them.


“Kammaṁ bahukaṁ na kāraye,
Parivajjeyya janaṁ na uyyame;
So ussukko rasānugiddho,
Atthaṁ riñcati yo sukhādhivāho.
Don’t get involved in lots of work,
avoid people, and don’t try to acquire things.
If you’re eager and greedy for flavors,
you’ll miss the goal that brings such happiness.
Paṅkoti hi naṁ avedayuṁ,
Yāyaṁ vandanapūjanā kulesu;
Sukhumaṁ sallaṁ durubbahaṁ,
Sakkāro kāpurisena dujjaho.
They know it really is a bog,
this homage and veneration in respectable families.
Honor is a subtle dart, hard to extract,
and hard for a sinner to give up.
Na parassupanidhāya,
kammaṁ maccassa pāpakaṁ;
Attanā taṁ na seveyya,
kammabandhū hi mātiyā.
The deeds of a mortal aren’t bad
because of what others do.
You yourself should not do bad,
for mortals have deeds as their kin.
Na pare vacanā coro,
na pare vacanā muni;
Attā ca naṁ yathāvedi,
devāpi naṁ tathā vidū.
You’re not a bandit because of what someone says,
you’re not a sage because of what someone says;
but as you know yourself,
so the gods will know you.
Pare ca na vijānanti,
mayamettha yamāmase;
Ye ca tattha vijānanti,
tato sammanti medhagā.
Others don’t understand
that we need restraint in this.
But those who do understand this,
being clever, settle their quarrels.
Jīvate vāpi sappañño,
api vittaparikkhayo;
Paññāya ca alābhena,
vittavāpi na jīvati.
A wise person lives on
even after loss of wealth;
but without gaining wisdom,
even a rich person doesn’t really live.
Sabbaṁ suṇāti sotena,
sabbaṁ passati cakkhunā;
Na ca diṭṭhaṁ sutaṁ dhīro,
sabbaṁ ujjhitumarahati.
All is heard with the ear,
all is seen with the eye;
the wise ought not forsake
all that is seen and heard.
Cakkhumāssa yathā andho,
sotavā badhiro yathā;
Paññavāssa yathā mūgo,
balavā dubbaloriva;
Atha atthe samuppanne,
sayetha matasāyikan”ti.
… Mahākaccāyano thero ….
Though you have eyes, be as if blind;
though you have ears, be as if deaf;
though you have wisdom, be as if stupid;
though you have strength, be as if feeble.
And when issues come up
lie as still as a corpse.


Nucleotide sequence:
Shuffle triplets
Period
Length
Mutation percentage %
Seed
Generate
d = (0 - auto)
Matrix count
Min. distance between matrices D0 =
Iteration number limit
Start


Package com.google.api
Interface ConfigChangeOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
ConfigChange
,ConfigChange.Builder
public interface ConfigChangeOrBuilder
extends com.google.protobuf.MessageOrBuilder
-
Method Summary
Modifier and TypeMethodDescriptiongetAdvices
(int index) Collection of advice provided for this change, useful for determining the possible impact of this change.int
Collection of advice provided for this change, useful for determining the possible impact of this change.Collection of advice provided for this change, useful for determining the possible impact of this change.getAdvicesOrBuilder
(int index) Collection of advice provided for this change, useful for determining the possible impact of this change.List<? extends AdviceOrBuilder>
Collection of advice provided for this change, useful for determining the possible impact of this change.The type for this change, either ADDED, REMOVED, or MODIFIED.int
The type for this change, either ADDED, REMOVED, or MODIFIED.Object hierarchy path to the change, with levels separated by a '.' character.com.google.protobuf.ByteString
Object hierarchy path to the change, with levels separated by a '.' character.Value of the changed object in the new Service configuration, in JSON format.com.google.protobuf.ByteString
Value of the changed object in the new Service configuration, in JSON format.Value of the changed object in the old Service configuration, in JSON format.com.google.protobuf.ByteString
Value of the changed object in the old Service configuration, in JSON format.Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
-
Method Details
-
getElement
String getElement()Object hierarchy path to the change, with levels separated by a '.' character. For repeated fields, an applicable unique identifier field is used for the index (usually selector, name, or id). For maps, the term 'key' is used. If the field has no unique identifier, the numeric index is used. Examples: - visibility.rules[selector=="google.LibraryService.ListBooks"].restriction - quota.metric_rules[selector=="google"].metric_costs[key=="reads"].value - logging.producer_destinations[0]
string element = 1;
- Returns:
- The element.
-
getElementBytes
com.google.protobuf.ByteString getElementBytes()Object hierarchy path to the change, with levels separated by a '.' character. For repeated fields, an applicable unique identifier field is used for the index (usually selector, name, or id). For maps, the term 'key' is used. If the field has no unique identifier, the numeric index is used. Examples: - visibility.rules[selector=="google.LibraryService.ListBooks"].restriction - quota.metric_rules[selector=="google"].metric_costs[key=="reads"].value - logging.producer_destinations[0]
string element = 1;
- Returns:
- The bytes for element.
-
getOldValue
String getOldValue()Value of the changed object in the old Service configuration, in JSON format. This field will not be populated if ChangeType == ADDED.
string old_value = 2;
- Returns:
- The oldValue.
-
getOldValueBytes
com.google.protobuf.ByteString getOldValueBytes()Value of the changed object in the old Service configuration, in JSON format. This field will not be populated if ChangeType == ADDED.
string old_value = 2;
- Returns:
- The bytes for oldValue.
-
getNewValue
String getNewValue()Value of the changed object in the new Service configuration, in JSON format. This field will not be populated if ChangeType == REMOVED.
string new_value = 3;
- Returns:
- The newValue.
-
getNewValueBytes
com.google.protobuf.ByteString getNewValueBytes()Value of the changed object in the new Service configuration, in JSON format. This field will not be populated if ChangeType == REMOVED.
string new_value = 3;
- Returns:
- The bytes for newValue.
-
getChangeTypeValue
int getChangeTypeValue()The type for this change, either ADDED, REMOVED, or MODIFIED.
.google.api.ChangeType change_type = 4;
- Returns:
- The enum numeric value on the wire for changeType.
-
getChangeType
ChangeType getChangeType()The type for this change, either ADDED, REMOVED, or MODIFIED.
.google.api.ChangeType change_type = 4;
- Returns:
- The changeType.
-
getAdvicesList
Collection of advice provided for this change, useful for determining the possible impact of this change.
repeated .google.api.Advice advices = 5;
-
getAdvices
Collection of advice provided for this change, useful for determining the possible impact of this change.
repeated .google.api.Advice advices = 5;
-
getAdvicesCount
int getAdvicesCount()Collection of advice provided for this change, useful for determining the possible impact of this change.
repeated .google.api.Advice advices = 5;
-
getAdvicesOrBuilderList
List<? extends AdviceOrBuilder> getAdvicesOrBuilderList()Collection of advice provided for this change, useful for determining the possible impact of this change.
repeated .google.api.Advice advices = 5;
-
getAdvicesOrBuilder
Collection of advice provided for this change, useful for determining the possible impact of this change.
repeated .google.api.Advice advices = 5;
-


{{#if banners.bottom}}
Copyright © {{moment format="YYYY"}} PC Server & Parts. All rights reserved. Big Commerce Themes by OCDesignsOnline.


| r1c1 | r1c2 (rowspan = 2) |
| r2c1 | r2c2 |
Input: 2x2 table except one cell specifies an extra (overlapping) row.
Expectation: undefined, so either 2x2 table with overlap (precompute cols), 2x2 table with dangling cell (precompute cols and greedily add a col), 3x2 table with no overlap (greedily compute cols).
Spec: not in CSS 2.1 (?) but in HTML4 tables. Calculate # cols based on biggest row (in isolation, looking at colspans in that row)


HackTruman 2019
April 12th-14th
Location will be annouced, plans went awry.
Rules
Maximum Team Size of 3
Projects must be only code made between the Opening and Closing times
Schedule
Fri 6:00pm - Opening
Sat 5:00pm - Dinner
Sat 6:00pm - Game (TBD)
Sun 12:00pm - Closing
Prizes
1st -
2nd -
Freshman -
Sponsors
- Cerner
Start looking for more info being added to this page in the future such as prizes, rules, sponsors and more.


What is No Grupetto?
No
Grupetto is a cycling community that connects cyclists of similar
speeds.
How does it work?
No Grupetto uses machine learning algorithms to analyze your
Strava logged rides and
match you with other riders of similar skill and close proximity.
Make some friends, go on some rides, and come out a better rider than you were before.
No Grupetto analyzes your performances in real time to give you better matches as you become
a better rider.
Sounds cool to me! How can I join?
Awesome! All you need to join is to give No Grupetto access to your
Strava rides.
Click the join button below!


Dashboard
Sensors
About
List of Sensors
Sensor Name
Status
Location
Sensor_01
Online
UNT Quad
Sensor_02
Online
Keathly's Ranch
Sensor_03
Offline
13.04, 23.45


Andy Stewart’s writing spans the literary, science fiction, fantasy, and the supernatural genres. His short fiction has appeared in The Magazine of Fantasy and Science Fiction, ZYZZYVA, and Juxtaprose, and his debut book, We Shall Sing a Song into the Deep is in press with Tor.com, arriving Summer 2021. Andy lives and writes in San Marcos, CA, and is represented by John Silbersack with The Bent Agency.
A writer of science fiction, fantasy, and literary fiction.
Winter 2012 (volume 28, issue 3)
Summer 2010
Summer 2009
Selected as notable story in The Best American Science Fiction & Fantasy 2015, eds. John Joseph Adams and Joe Hill.
Selected as Honorable Mention story in The Year's Best Science Fiction: Thirty-first Annual Collection, ed. Gardner Dozois, 2013
Selected as Honorable Mention story in The Year's Best Science Fiction: Thirtieth Annual Collection, ed. Gardner Dozois, 2012.
Attendee, 2011
Whether it's writing novels, short stories, academic articles, personal statements, or dissertations, the process is much the same: writing takes time. It takes multiple drafts. It takes patience, working through bad ideas in order to stumble upon good ones. And, if the project is long enough, it takes unbelievable fortitude and self-confidence. As an actively publishing writer, I am reminded of these challenges daily. But I'm also keenly aware of the rewarding feeling of completing a project, and putting the final polish on a piece. Of sharing my words and ideas with the world. This is why, for almost a decade, I have committed myself to being both a guide and a working professional in the field of writing.
In my capacity as a coach, I've worked with a broad spectrum of students, aged middle school through college, in various aspects of the writing process. In all cases, being a coach has meant both assessing the root of a person's particular problem or fear, and then encouraging and guiding them to succeed in their own goals. Open communication has always been a key component in my pedagogy, particularly when communicating via webcam, where technology mediates my relationship with a student or client.
As an editor, I have had the opportunity to truly help shape and develop student and client writing so that they are able to communicate more effectively, and to get to the essence of their meaning. Part of helping writers achieve this is to guide them in adhering to academic or professional conventions, both in their grammar, punctuation, and vocabulary, but also in their adherence to particular formatting standards. Over the years, I've fostered the balance between hands-on editing and letting a student's individual voice emerge. I particularly enjoy helping writers to hone their voice, find their tone, and attain a professional standard.
Please email wordslikewater at gmail dot com to inquire about coaching and editing availability and rates.
Available for video-based SAT & AP English, Language, Reading, and Writing subject tutoring, as well as college prep coaching and consultation.
Available to edit and consult for all genres of fiction and non-fiction, including academic writing and dissertations.


We’re all in this together. Local grocery stores, pharmacies and discount stores are working to make sure you can access your essential goods and services.
Let’ support them.
Use this site to find out what these stores in the Montgomery area are doing to stay open and serve you during COVID-19.
This list is constantly evolving, so if you see a place missing please use the form below to add them to the list!


{% extends "layout.html" %} {% block title %}About{% endblock %} {% block navlist %}
I am a multidisciplinary scientist with experience analyzing and modeling complex electronic systems. Before becoming interested in the field of data science I studied materials science and physics and worked on challenges related to printed and flexible electronics. I am currently aiming to transition some of these skills into solving cutting edge problems in data science. In particular, my interests are in machine learning, neural networks, and NLP, and how to apply these techniques in as many diverse areas as I can!
This project is part of my capstone for The Data Incubator program (Fall 2017).
The project code can be found here (along with other example of my code)...
This project was built using...
All data is from the American Time Use Survey (ATUS) that is published by the US Bureau for Labor Statistics. Daily activity times for respondents between 2003 and 2015.


Upload queue
Queue length: 1
Name
Size
Progress
Status
Actions
aaaaa.png
0.06 MB
Upload
Cancel
Remove


{% extends "blocks/main-card.html" %} {% load static otree %} {% block page_title %}{{ page_title }}{% endblock %} {% block page_content %}
Regardless of the group goal, all players receive ${{ token_value }} for every energy token left in their private accounts at the end of the game.
If the group fails to meet its group conservation goal, no bonus will be paid to any player.
If the {{ reduction_goal }}% group conservation goal is met (i.e., there are at least {{ token_goal }} tokens in the group conservation account at the end of the game), then the building owner doubles the monetary value of the conserved tokens and divides them equally among all{{ game_players }} players as a bonus.
For example, if {{ token_goal }} tokens are contributed to the group conservation account, each player will receive an additional bonus pay of $0.72, which is their equal share of the $18 group bonus ($18.00 = {{ token_goal }} tokens in the group conservation account × 2 × ${{ token_value }} per token).


When independent agents give back to their communities, hey become agents of change. Promise celebrates their efforts with the Make More Happen Awards, which include a donation to the nonprofits where they volunteer, share and give.
Get timely updates through conference calls, webcasts and presentation.
Are you a member of the media? Our Newsroom contains our press kit


#Jen Network
It is an Uber-like Network for Volunteer FoodRunners
FoodRunners are volunteers with an IOS or Android App
FoodRunners pick up surplus food from restaurants, cafeterias, parties, etc
They deliver it to a participating Organization such as a Church, a Food Pantry, etc.
The Network is designed to assist those that are Hungry.
SignUp


WONDERLAND A film review by Jeremiah Kipp Copyright 2001 filmcritic.com filmcritic.com
The city of London has a million stories, and Wonderland tells just one of them -- well, okay, three. No, five -- five! Six -- eight -- all right, eleven subplots competing for screen time.
At the center are three sisters lookin' for a little love and compassion. Perky Soho waitress Nadia (Gina McKee, Croupier), her hair punked out in cute rabbit ears, indulges in the lonely hearts club of personal ads for Mr.   He can barely be counted on for weekend visits to their teenage son (Peter Marfleet). Molly (Molly Parker, Waking the Dead) is very pregnant and needs a little support from her friends, especially when her husband (John Simm) goes through a mid-life career meltdown.
Wonderland also finds time for their parents, friends, lovers, and a mystery guest (Enzo Cilenti) who rides into town, inhabiting his own little movie of playful hotel room sex. His place in their circle of life is revealed at the climax, natch. Each of these characters are given their own revealing strands trailing off from the central web of Chekhovian sisters. Bleak lives and bitter struggles are the order of the day.
Talented director Michael Winterbottom (Jude, Welcome to Sarajevo) pulls out all the stops in his cinematic bag of tricks. He nobly attempts to elevate this contrived soap opera material to gritty, hard-edged realism. Wonderland's "look" is pure cinema verite, right down to the restless hand-held camera breezing through gritty locations, documentary-style. Winterbottom coaxes naturalistic performances from a who's-who of young British talent and tosses into the mix plenty of vivid cutaways of working class extras.
While easy on the eyes, Winterbottom's sterling visual interpretation is significantly undermined by Laurence Coriat's generic script. Juggling all those characters, you'd think he'd be able to come up with at least one that didn't simply go through the motions toward a predictable outcome. McKee invests Nadia with chilly grace, but the canny viewer will see the outcome of her handsome date du jour (Stuart Townsend) long before it happens.
The scenes with the griping parents (Jack Shepherd and Kika Markham) are especially weak, their disgruntled non-communication played to such a pitch it borders on parody. By the time nasty old mum is plotting against the barking dog next door, representative of her hatred of the world at large, we take a sudden detour into The Wizard of Oz. I'll get you, my pretty!
Winterbottom makes an interesting soundtrack choice in selecting Peter Greenaway's favorite minimalist composer, Michael Nyman. The score's voluptuous repetitions of graceful epiphanies might seem more appropriate to a fantasy film, but it brings to mind the cosmic epiphanies during everyday life glimpsed in James Joyce's Dubliners. Nyman's glorious excess doesn't quite jive with the gritty onscreen squalor, but it's a bold idea to suggest the passions swirling within mundane lives.
Coriat claims to have been inspired by Robert Altman's Short Cuts, a film with the benefit of Raymond Carver's perceptive source material. One could also easily compare the structure to Happiness, Hannah and Her Sisters, or Magnolia. We've been down this road a few too many times before for Wonderland to feel particularly original.
Viewers who would like something a little different from the "multiple subplot family crisis" subgenre are encouraged to seek out Patrice Chéreau's Those Who Love Me Can Take the Train. This French film employs a similar verite approach, not to mention an eclectic taste in music, but it's less concerned with wrapping up each of the stories. Like life, it's a story which begins and ends in transit.
Wonderland, on the other hand, betrays the writer's hand with watertight resolutions that have been the trappings of melodrama throughout the ages. For all of Winterbottom's high-tech wizardry, transforming London into an impressionistic streak of neon light, he can't pull this humdrum tragicomedy out of the gutter.

Visit filmcritic.com on the Web at http://www.filmcritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


PRIDE Cluster pipeline
What is the PRIDE Cluster pipeline?
The PRIDE Cluster pipeline is responsible for extracting spectra and their related metadata from PRIDE Archive, and then feed these information into our clustering pipeline, the clustering pipeline is going to group similar spectra into the clusters.
What are main steps of the pipeline?
The pipeline consist of the following steps (illustrated below):
- Filter spectra from PRIDE Archive, remove bad quality spectra, and then annotation each spectra with metadata, such as species, modifications and peptides.
- Move the filtered spectra in the format of MGF files into the Hadoop Cluster.
- Using Map-Reduce to group the spectra into clusters.
- Move the results out of the Hadoop cluster.
- Quality check of the results.
- Load the cluster results into the production database for the new release.
- Generate spectrum libraries using the clustering results.
Why Hadoop?
The original PRIDE Cluster is based on Load Sharing Facility (LSF), this pipeline has encountered scalability issues due the fast data increase from PRIDE Archive.
We set to improve the scalability and performance of the pipeline, Hadoop Map-Reduce is natural fit as it provides a mass parallel computing framework.


HCIN 720 - Assignment 2 - Input Visualization
Door Sensor Alert System
Main Door Sensor
Waiting for data...
Waiting for data...
Proximity Sensor
Waiting for data...
Waiting for data...


Q3GroupIterator iter( aGroup, kQ3ShapeTypeGeometry ); CQ3ObjectRef theItem; while ( (theItem = iter.NextObject()).isvalid() ) { // do something with theItem... }


Already have an Intuit account?
I forgot my User ID or Password
Sign In
mint
quickbooks
turbotax
Create an Intuit account
One account for everything Intuit, including Mint.
Learn more
Email address
Phone (recommended)
Standard call, messaging or data rates may apply.
Password
Create Account
Invisible reCAPTCHA by Google
Privacy Policy
and
Terms of Use
.


| 625 | (A) | Made wayes fułł wyde and to the wallis come |
| 628 | (C) | They made weyes fułł wyde . & to þe walles wente |
| 622 | (D) | Made weyes ful wyde & to þe wallis come |
| 614 | (E) | thanne þey tooke hem to-gidre . & to þe town come |
| (Ex) | ---- no text ---- | |
| 643 | (L) | Made wide weyes & to þe walles comen |
| 582 | (P) | wayes made þai wyde & to þe walles come |
| 618 | (U) | ¶ Made wayes ful wyde / and to the wal kom |
| (V) | ---- no text ---- |


surveillance influenza staff sentinel Number sites data samples Zambia score evaluation illness performance respiratory patients good reported scored Influenza Proportion indicator used {border-style (.%) (Table Questionnaire SARI evaluated ILI ISSS influenza-associated px;} #ffffff;} cases indicators number severe case provide (moderate Data Health burden collected collection using virus ISS included mean performance) performance); quality category difficult laboratory obtained proportion quantitative total acute easy health period, satisfied Respiratory Tempia Zambia, database enrolled including viruses interviewed results sample scale situated timeliness (good Ministry attribute completeness enrollment epidemiological national outcome provided public week year (score: (weak CIF Centers Evaluation ILI/SARI Indicator Lusaka MoH Province assess available evaluation. key pathogens px; received reports representativeness stability target tested time value {font-family < % (expressed BMC Dis Infect Moderate VD: annual clinical countries follows: font-size forms moderate overall percentage) period procedures specimens survey sustainability systems use variables (D), (E), (VD), (VE)] African Control Copperbelt Disease Perception Surveillance Table [very acceptability based conducted date definition double; expected factors generated guidelines information scores sent trained viral weekly weeks (Yes) (from (i) (ii) (iii) (iv) ./irv. Africa, Cohen However, Illness Severe South Stefano Total VE: Viruses aEach activities affected assigned border-color border-width calculation) children consent cost established flexibility funds high hospitalized identify illness; implemented indicators, influenza-like influenza-positive minimum monitor objectives pandemic patient positive risk seasonal shared simplicity solid; study symptoms utility virological {font-style {font-weight (), (No) (v) .), Abbreviations: Acute Africa CDC Calculation/data Haemagglutination Indicators National Prevention Public Research Risk ST, Score Sustainability Timeliness University World Zambia-MoH [], aged analysis attributable bold circulating country courier; deemed demonstrated disease eligible em; external geographic geographical identification implementation improve inception increased infections inputs lack logistical low meeting monitoring non-research participate performance). performed policy pt;} review sites. source standard targeting terms timeliness, times days


Section 5 Percentile roses
5.1 Introduction
percentileRose
calculates percentile levels of a pollutant and
plots them by wind direction. One or more percentile levels can be
calculated and these are displayed as either filled areas or as lines.
By default, the function plots percentile concentrations in 10 degree segments. Alternatively, the levels by wind direction are calculated using a cyclic smooth cubic spline. The wind directions are rounded to the nearest 10 degrees, consistent with surface data from the UK Met Office before a smooth is fitted.
The percentileRose
function compliments other similar functions
including windRose
, pollutionRose
, polarFreq
or
polarPlot
. It is most useful for showing the distribution of
concentrations by wind direction and often can reveal different
sources e.g. those that only affect high percentile concentrations
such as a chimney stack.
Similar to other functions, flexible conditioning is available through the `type} option. It is easy for example to consider multiple percentile values for a pollutant by season, year and so on. See examples below.
5.2 Examples
The first example is a basic plot of percentiles of O3 shown in Figure 5.1.
percentileRose(mydata, pollutant = "o3")
A slightly more interesting plot is shown in Figure 5.2 for SO2 concentrations. We also take the opportunity of changing some default options. In this case it can be clearly seen that the highest concentrations of SO2 are dominated by east and south-easterly winds; likely reflecting the influence of stack emissions in those directions.
percentileRose(mydata, pollutant = "so2",
percentile = c(25, 50, 75, 90, 95, 99, 99.9),
col = "brewer1", key.position = "right", smooth = TRUE)
Lots more insight can be gained by considering how percentile values vary by other factors i.e. conditioning. For example, what do O3 concentrations look like split by season and whether it is daylight or nighttime hours? We can set the type to consider season and whether it is daylight or nighttime.2 This Figure reveals some interesting features. First, O3 concentrations are higher in the spring and summer and when the wind is from the north. O3 concentrations are higher on average at this site in spring due to the peak of northern hemispheric O3 and to some extent local production. This may also explain why O3 concentrations are somewhat higher at nighttime in spring compared with summer. Second, peak O3 concentrations are higher during daylight hours in summer when the wind is from the south-east. This will be due to more local (UK/European) production that is photochemically driven — and hence more important during daylight hours.
percentileRose(mydata, type = c("season", "daylight"), pollutant = "o3",
col = "Set3", mean.col = "black")
5.3 Condtional probability function
The percentileRose
function can also plot conditional probability
functions (CPF) (Ashbaugh, Malm, and Sadeh 1985). The CPF is defined as CPF =
\(m_\theta/n_\theta\), where \(m_\theta\) is the number of samples in the
wind sector \(\theta\) with mixing ratios greater than some `high’
concentration, and \(n_\theta\) is the total number of samples in the
same wind sector. CPF analysis is very useful for showing which wind
directions are dominated by high concentrations and give the
probability of doing so. In openair, a CPF plot can be produced as
shown in 5.4. Note that in these plots
only one percentile is provided and the method must be supplied. In
5.4 it is clear that the high
concentrations (greater than the 95th percentile of all
observations) is dominated by easterly wind directions. There are very
low conditional probabilities of these concentrations being
experienced for other wind directions.
percentileRose(mydata, poll="so2", percentile = 95,
method = "cpf",
col = "darkorange", smooth = TRUE)
It is easy to plot several species on the same plot and this works well because they all have the same probability scale (i.e. 0 to 1). In the example below (not shown) it is easy to see for each pollutant the wind directions that dominate the contributions to the highest (95th percentile) concentrations. For example, the highest CO and concentrations are totally dominated by south/south-westerly winds and the probability of their being such high concentrations from other wind directions is effectively zero.
percentileRose(mydata,
pollutant = c("nox", "so2", "o3", "co", "pm10", "pm25"),
percentile = 95, method = "cpf", col = "darkorange",
layout = c(3, 2))
References
Ashbaugh, Lowell L., William C. Malm, and Willy Z. Sadeh. 1985. “A residence time probability analysis of sulfur concentrations at grand Canyon National Park.” Atmospheric Environment (1967) 19 (8): 1263–70. https://doi.org/10.1016/0004-6981(85)90256-2.
In choosing
type = "daylight"
the default is to consider a latitude of central London (or close to). Users can set the latitude in the function call if working in other parts of the world.↩


Rundgang
Campaign theme
2015
The »Rundgang« is the biggest University event of the year, where all students exhibit their works. It comes with a big publicity campaign that contains posters all over the city, digital advertisement, a commercial for the website of the University and the »Berliner Fenster« (the public transportation television), an detailed article at the »Tagesspiegel« (the cities daily newspaper), and other print
media like flyers and a brochure. To find the campaign theme there is a university internal competition every year. A jury chooses one theme out of all designed posters.
For the Rundgang in summer 2015 my theme was choosen.


ERROR :: Dual Server Configuration not found
Make sure the
"server-config.json"
file exists.
Protect your front-end documents with
DualServer™


Duration
10 minutes
Goals
The primary goal of this lab is to use a Toolbar as an Activity's app bar. The existing Recipes app already has a toolbar and it is already positioned at the top of the DetailsActivity so the UI will look the same afterward. However, this exercise is still valuable because it shows you the standard pattern for inflation and selection which will make your code easier to understand if other Android developers need to work on it.
Required assets
This is a continuation of the previous exercise. You can use your existing solution or open the solution in the Exercise 3/Completed folder. The Exercise 4 folder contains a subfolder named Completed with a solution you can use to check your work. Please make sure you have these folders before you begin.
Challenge
- Open DetailsActivity.cs. All your work will be done in this file.
-
Use
Android.Support.V7.App.AppCompatActivity
as the base class for the DetailsActivty. - Set the toolbar as the Activity's app bar.
-
Override of
OnCreateOptionsMenu
and inflate the Actions menu. -
Override
OnOptionsItemSelected
and handle action click events. - Remove unneeded code.
Steps
Use the support Activity base class
- Open DetailsActivity.cs. All your work for this exercise will be done in this file.
-
Change the base class of the DetailsActivty from
Activity
toAndroid.Support.V7.App.AppCompatActivity
. This is required to use a toolbar as your Activity's app bar.
Set the toolbar as your app bar
-
Add the following line of code to
OnCreate
. This installs your toolbar as your Activity's app bar. Note: add this code after you have created the toolbar and usedFindViewById
to get a reference to it.base.SetSupportActionBar(toolbar);
Inflate the app bar Actions menu
-
Add the following method to your DetailsActivity. This is part of the standard
app-bar coding pattern: setup must be done in your override of
OnCreateOptionsMenu
.public override bool OnCreateOptionsMenu(Android.Views.IMenu menu) { base.MenuInflater.Inflate(Resource.Menu.actions, menu); SetFavoriteDrawable(recipe.IsFavorite); return true; }
Handle menu clicks
-
Add the following method to DetailsActivity. Now that the toolbar
is set as the Activity's app bar, click events will be reported via this method.
public override bool OnOptionsItemSelected(Android.Views.IMenuItem item) { // ... return true; }
-
Move the
switch
statement in your existing toolbar click handler into the newOnOptionsItemSelected
method. You will need to update the the way you access the item since theIMenuItem
is now the method parameter rather than being nested inside the event args. The entire method is given below.
Remove unneeded code
-
Remove the following lines from
OnCreate
.toolbar.InflateMenu(Resource.Menu.actions); toolbar.MenuItemClick += OnMenuItemClick; //... SetFavoriteDrawable(recipe.IsFavorite);
-
Remove the entire
OnMenuItemClick
method.
Summary
This exercise asked you to rearrange your code to use the standard Android app-bar coding pattern. The key benefit is standardization: you made sure to place the toolbar where users expect and use the coding pattern that will match the expectations of any new developers that work on your code.


|
Perl Weekly
Issue #85 - 2013-03-11 - How to improve CPAN?
latest | archive | by Gabor Szabo
|
|
Hi there!
The highlight of this week was the discussion around CPAN. What are the problems with it and what are the possible solutions. This is not a new topic. It has was raised several times and some progress was made. For example MetaCPAN born out from similar discussions and it is a huge step toward improving the situation if not solving the problem. This is a very visible project with a very modern stack. Worth looking into it.
The other discussion that was especially interesting to me was the one that David Golden posted about. How do you see the future of Perl? Would you accept some backward compatibility breaks in Perl in other to gain some new features? What do you think about Perl 6? Does that frame how you think about Perl 5 or is that the other way around?
In any case, enjoy the reading and spread the word!
|
|
|
|
Sponsors
|
MediaMath is hiring Perl Developers: Are you tired of Perl 'scripting'?
Come join an innovative talented engineering department where you can do some serious Perl programming in a great development environment with clean codebase that is not slapped together. If interested in learning more please contact Marc Spinowitz, Recruiter at MediaMath at<EMAIL_ADDRESS>or<PHONE_NUMBER>
|
|
|
|
Security
|
Rehashing flaw - updates available
A possible security vulnerability found in perl and identified as CVE-2013-1667. It is already fixed in the next version of perl and patches were pushed to the branches of the 5 most recent version of Perl.
|
|
Discussion
|
My Perl 6 post was really about Perl 5
A very interesting discussion on the future of Perl. I think, in his earlier post (linked from this one) David Golden covered the major ways people in the Perl community related to Perl 6 which reflects on how they thing the possible(?) evolution of Perl 5. Can Perl 5 break backward compatibility more than it does now? Maybe the questions should be: How much breakage is already too much?
|
|
Code
|
CPAN modules that (can) load other modules
Sometime you'd want to delay loading module to save on start-up time, or to save on memory footprint, or because you can only decided which modules to load at run time. Or for some other reason. There are plenty of solutions for this problem. Neil Bowers went through quite a few of those and compared them.
|
|
Debugging Perl in a browser
I have not tried this one, but Perl need better tools for debugging to make it comfortable for people who are not yet experts in Perl and who are used to GUIs.
|
|
CPAN and MetaCPAN
|
The Four Major Problems with CPAN
There were some interesting discussion triggered by the article of Brendan Byrd. I think one of the biggest issue is the lack of cooperation on the development of CPAN modules. There are few exceptions - some of the bigger modules, but in general I think there is too little cooperation. Anyway.
|
|
The Main Problem With CPAN Modules On Github
Daisuke Maki (lestrrat) mentioned how one could use cpanfile to make it easier to install CPAN modules directly from Github. Tatsuhiko Miyagawa, explained what is cpanfile and why to use it.
|
|
Sifting Through the CPAN
Olaf Alders explains the plans he had with MetaCPAN to solve at least some of the issues. I agree with him that this could be done by someone as a TPF grant. So if you need some money and would like to work on some really interesting thing with a large impact, talk to Olaf.
|
|
|
|
|
|
Web
|
|
|
|
|
Notes from a Newbie 11: View Blogs
Notes from a Newbie document the creation and deployment of yardbirdfanclub.org with Perl Catalyst on shared hosting. They are intended for a Perl Catalyst Newbie who would like to study the creation and deployment of a simple Perl Catalyst application.
|
|
Events
|
|
|
Databases
|
A much faster DBIx::Class public trial round three - v0.08242
Peter Rabbitson (aka. ribasushi) shipped another version of DBIC, the best known ORM of perl, for testing. Hopefully the last beta. If you rely on DBIx::Class then you'd better test it now to avoid surprises later! If you are web-savvy could, you please help ribasushi to publish these announcements on the web site of DBIC? I'd much rather link to an 'officially looking' web page announcing this than an entry of a mailing list archive.
|
|
using DBIx::Class::DeploymentHandler
If we are already talking about DBIC, let's see how David Schmidt deploys applications using DBIx::Class. Interestingly, several people have suggested the use of DBIx::Class::Migration instead of DBIx::Class::DeploymentHandler
|
|
Perl 6
|
All about Perl 6 - interview of Stefan O'Rear
Stefan O'Rear is the author of Niecza, the Perl 6 implementation on the .NET platform. This is a short interview, just to get the feeling for people who are interested either in .NET or Perl 6.
|
|
Weekly collections
|
|
|
|
|
|
|
Perl Maven articles
|
undef on Perl arrays and hashes
You know what undef means for a scalar variable. What does it mean to an element of an array or a hash? What does it mean to the whole array and hash?
|
|
Debugging Perl scripts
Writing code is awesome, but frankly, most of the time we spend trying to figure out what have we (or others) written and why the code does not work properly? Some basic tools for debugging without a proper debugger. (...and a link to the video introducing the built-in debugger of Perl.)
|
|
|
|
Events
I usually list the next 3-4 events here. The list of all the events can be found on the web site. If your Perl event is not listed there, please let me know.
|
|
|
|
|
|
|
|
|
You know, you could get the Perl Weekly right in your mailbox. Every Week. Free of charge!
|


Instructions
- You will be shown three items side by side
- Of those three, please click on the one that you would most likely buy
- For each trio of items, you have to choose one, so just do your best!
- You will be shown 25 trios of items
- After you make the 25th selection, you will be notified and you're done!