Dalia is one of the best all-around people that I know. Her tremendous background (Ivy League, Big 4 Consulting, startups) is rooted in the foundation of subject expertise/knowledge, integrity, professionalism, heart, pride in her work, and how she treats people at all levels - leaving a lasting impression to those lucky to have worked with her.
John Z., EVP Marketing, Indigenous
Dalia has incredible strategic thinking, leadership skills – Envisioning, Engaging and Execution skills. She demonstrates great presence, EQ, IQ and drive and took full ownership of our project along with her colleagues. Teamwork between Dalia and various members was outstanding making it seamless for the entire team. She is a great talent to seek out to solve big and complex challenges.
Akhil S., Global CFO, Estée Lauder
There are only a few people in the world who match her vision along with her determination and energy, and I have time and time again been left speechless.
Aoi S., CEO/Founder, Colabra
I worked with Dalia to establish and manage a network of professionals to grow Doblin's presence on the west coast. Dalia was the driver of this effort, helping it grow from the two of us to a vibrant community or practitioners, partners, and account leaders. [...] Dalia is smart, proactive, thoughtful and energetic. She delivers high quality work and is a pleasure to work with. I have been lucky to have her as a colleague!
Erik K., Managing Director, Deloitte
Dalia is extremely professional and one of the most collaborative people I’ve met with genuine interests and passions for helping others. She is detail-oriented and well-organized... She really owned the room and helped our people think outside of the box. Dalia is truly a leader and an asset for any business.


Cloud leaves you free to focus on your mission.
Move faster, improve your productivity, and invest more in your core business.
We are your trusted Gold Solution Partners in Spain and Latin America.
Get in touch with our team of specialists for help with creating a custom strategy for successful migration.
COMIENZA TU VIAJE SOLICITANDO TU PRUEBA GRATUITA PARA EL CLOUD
Migrations don't happen overnight. Planning, evaluation, and testing are key to a successful migration. This offer helps you move to the cloud for your existing maintenance period (at no additional cost) to ensure that the cloud is right for you, before you abandon your current solution.
In the cloud, you have the flexibility to expand and update our products based on the complexity of your team's needs.
Extended Cloud Trials let you test the Standard and Premium plans to see which one is right for you.
Request your free trial of Jira Software, Confluence, Jira Service Management, or Jira Core.
Get the latest innovations in the cloud without the need for weekend updates or server downtime. Visit the Atlassian Platform Roadmap for a taste of what's to come in the cloud.
Atlassian protects your data with encryption in transit and at rest, and provides administrative controls to enforce organization-wide protection, such as SAML SSO, Forced Two-Factor Authentication, and SCIM.
Atlassian is committed to protecting the privacy of your and your customers' data through industry best practices such as Privacy Shield and full GDPR compliance.
Through Atlassian's compliance program, we undergo independent third-party audits and certify our products to SOC2, ISO 27001/27018 and more.
Atlassian products are designed for high performance and availability, and are based on best-in-class core technologies so you can scale with confidence and security.
Do you want to receive more information, request a quote, or a free trial of Atlassian Cloud? Fill in the form and we will respond to you in less than 24 hours.


City Union Bank Standalone September 2019 Net Interest Income (NII) at Rs 411.55 crore, up 3.4% Y-o-Y
Reported Standalone quarterly numbers for City Union Bank are:
Net Interest Income (NII) at Rs 411.55 crore in September 2019 up 3.4% from Rs. 398.0238 crore in September 2018.
Quarterly Net Profit at Rs. 193.53 crore in September 2019 up 15.2% from Rs. 167.99 crore in September 2018.
Operating Profit stands at Rs. 346.48 crore in September 2019 up 17.07% from Rs. 295.95 crore in September 2018.
City Union Bank EPS has increased to Rs. 2.63 in September 2019 from Rs. 2.30 in September 2018.
City Union Bank shares closed at 205.40 on November 06, 2019 (NSE) and has given 4.37% returns over the last 6 months and 23.55% over the last 12 months.
| City Union Bank | |
| Standalone Quarterly Results | in Rs. Cr. |
| Sep'19 | Jun'19 | Sep'18 | |
| Interest Earned | |||
| (a) Int. /Disc. on Adv/Bills | 861.76 | 868.62 | 777.12 |
| (b) Income on Investment | 160.24 | 141.08 | 141.55 |
| (c) Int. on balances With RBI | 12.36 | 16.99 | 4.50 |
| (d) Others | 2.46 | 2.54 | 3.32 |
| Other Income | 194.97 | 163.29 | 118.55 |
| EXPENDITURE | |||
| Interest Expended | 625.28 | 612.36 | 528.46 |
| Employees Cost | 113.09 | 100.37 | 93.00 |
| Other Expenses | 146.95 | 128.41 | 127.63 |
| Depreciation | -- | -- | -- |
| Operating Profit before Provisions and contingencies | 346.48 | 351.40 | 295.95 |
| Provisions And Contingencies | 107.95 | 115.75 | 67.96 |
| Exceptional Items | -- | -- | -- |
| P/L Before Tax | 238.53 | 235.65 | 227.99 |
| Tax | 45.00 | 50.00 | 60.00 |
| P/L After Tax from Ordinary Activities | 193.53 | 185.65 | 167.99 |
| Prior Year Adjustments | -- | -- | -- |
| Extra Ordinary Items | -- | -- | -- |
| Net Profit/(Loss) For the Period | 193.53 | 185.65 | 167.99 |
| Equity Share Capital | 73.53 | 73.45 | 73.19 |
| Reserves Excluding Revaluation Reserves | -- | -- | -- |
| Equity Dividend Rate (%) | -- | -- | -- |
| ANALYTICAL RATIOS | |||
| a) % of Share by Govt. | -- | -- | -- |
| b) Capital Adequacy Ratio - Basel -I | -- | -- | -- |
| c) Capital Adequacy Ratio - Basel -II | -- | -- | -- |
| EPS Before Extra Ordinary | |||
| Basic EPS | 2.63 | 2.53 | 2.30 |
| Diluted EPS | 2.60 | 2.49 | 2.29 |
| EPS After Extra Ordinary | |||
| Basic EPS | 2.63 | 2.53 | 2.30 |
| Diluted EPS | 2.60 | 2.49 | 2.29 |
| NPA Ratios : | |||
| i) Gross NPA | 1,135.44 | 1,076.22 | 847.88 |
| ii) Net NPA | 624.08 | 599.96 | 497.78 |
| i) % of Gross NPA | 3.41 | 3.34 | 2.85 |
| ii) % of Net NPA | 1.90 | 1.89 | 1.69 |
| Return on Assets % | 1.62 | 1.63 | 1.62 |
| Public Share Holding | |||
| No Of Shares (Crores) | -- | -- | -- |
| Share Holding (%) | -- | -- | -- |
| Promoters and Promoter Group Shareholding | |||
| a) Pledged/Encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| b) Non-encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| Source : Dion Global Solutions Limited |


Next: Capitalization and Punctuation in Condition Reports, Previous: Printing Conditions, Up: Printing Conditions
In order to ensure a properly aesthetic result when presenting report messages to the user, certain stylistic conventions are recommended.
There are stylistic recommendations for the content of the messages output by condition reporters, but there are no formal requirements on those programs. If a program violates the recommendations for some message, the display of that message might be less aesthetic than if the guideline had been observed, but the program is still considered a conforming program.
The requirements on a program or implementation which invokes a condition reporter are somewhat stronger. A conforming program must be permitted to assume that if these style guidelines are followed, proper aesthetics will be maintained. Where appropriate, any specific requirements on such routines are explicitly mentioned below.


Plush
– the comfy shell
∅
▂
▅
▇
...load...
EOF
^C
☢
⌧
#
❖
Directory History
Variables
Environment
Shell Vars


| | |
- Generator
- GeneratorAPI1
class Generator |
| |
Abstract representation of an in-memory grammar that generates parsers
The generator class manages a collection of
ElementToken objects. These element token objects
allow the generator to be separated from the
particular parser associated with any particular EBNF
grammar. In fact, it is possible to create entire grammars
using only the generator objects as a python API. |
| |
Methods defined here:
- __init__(self)
- Initialise the Generator
- addDefinition(self, name, rootElement)
- Add a new definition (object) to the generator
- addDefinitionSource(self, item)
- Add a source for definitions when the current grammar doesn't supply
a particular rule (effectively common/shared items for the grammar).
- buildParser(self, name, methodSource=None)
- Build the given parser definition, returning a TextTools parsing tuple
- cacheCustomTerminalParser(self, index, flags, parser)
- Optimization to reuse customized terminal parsers
- getCustomTerminalParser(self, index, flags)
- Retrieved a cached customized terminal parser or None
- getNameIndex(self, name)
- Return the index into the main list for the given name
- getNames(self)
- Return the list of root generator objects
- getObjectForName(self, name)
- Determine whether our methodSource has a parsing method for the given name
returns ( flags or 0 , tagobject)
- getParserList(self)
- getRootObject(self, name)
- Get a particular root object by name
- getRootObjects(self)
- Return the list of root generator objects
- getTagObjectForName(self, name)
- Get any explicitly defined tag object for the given name
- getTerminalParser(self, index)
- Try to retrieve a parser from the parser-list
- setTerminalParser(self, index, parser)
- Explicitly set the parser value for given name
|
class GeneratorAPI1 |
| |
Stand-in class supporting operation of SimpleParse 1.0 applications
There was really only the one method of interest, parserbyname,
everything else was internal (and is now part of
simpleparsegrammar.py). |
| |
Methods defined here:
- __init__(self, production, prebuilt=())
- parserbyname(self, name)
- Retrieve a tag-table by production name
| |


--- title: Obama is left handed date: 2009-01-27 12:26:14.000000000 +02:00 categories: - science tags: - avgo - book - brain - obama - wang status: publish type: post published: true meta: delicious: a:3:{s:5:"count";s:1:"0";s:9:"post_tags";s:0:"";s:4:"time";s:10:"1245171620";} _edit_last: '600927' reddit: a:2:{s:5:"count";s:1:"0";s:4:"time";s:10:"1245171620";} author: login: kouk email<EMAIL_ADDRESS>display_name: Konstantinos Koukopoulos first_name: '' last_name: '' excerpt: !ruby/object:Hpricot::Doc options: {} ---
Sam Wang, one of the authors of "Welcome to your brain" (Published in greek by AVGO Books), appeared on ABC's Good Morning America to talk about the fact that President Obama is left-handed and what that means about his brain. Watch the video online from ABC.
For more information about "Welcome to your brain", in Greek, check out the AVGO Books website here.


A component that provides a simple wrapper around the global sessionStorage object for interacting with session storage.
sessionStorage


Covid-19 Iraq Statistics
THis website Created to displays COVID-19 status of Iraq and know the latest numbers of confirmed , deathes , recoverd
be home be safe dude
Date
Confirmed
Deaths
Recoverd


{% extends "global/Page.html" %}
{% load otree static %}
{% block title %}
Negotiations are about to begin
{% endblock %}
{% block content %}
You and the other participants will now start bargaining.
To recap, bargaining has three phases:
Phase I: Making an offer: Everyone makes an offer indicating which coalition they want to form and indicating how they want to distribute the ${{ total_payoff }} million among the coalition members.
Phase II: Choosing offers: Everyone selects the coalition offer they want to execute.
Phase III: Seeing chosen offers: Everyone sees which offers are chosen. A coalition is formed when two representatives have selected the same offer. If this has not happened, a new round of bargaining starts.


We ("Or should I say I") make modernized front end static UX for companies who want to express their buisness in a more modern way!
Let's be honest for a minute... In today's society, the Internet basically runs the world.
What should you eat?
Where do I go to fix my laptop?
Whats going on tonight in the city?
 We use the internet to find places that might suit our needs! Having a good website is crutial to maintaining good buisness!
A website is basically a first impression of a comapny. If the website is intriguing to customers, then they are more likely to give you a chance!
Hi! My name is Troy Garcia! I'm a CompEng and Full Stack Dev Student. Currently Studying at the University of Toronto so you do get a chance to see me, come say hi!
Coding for me isn't just a job. It's a passion! I code for fun just to explore new ways to create things! Throughout my Carrer as a CompEng Student, I encountered and learned many different programming languages. This was mostly back end code. Codes that run microcontrolers or other mechnical objects. I decided to embark on the path of Fullstack Engineering. This side of Software Engineering mainly deals with the Internet flow both the User interface and the Backend server database all to create the entire stack!
And thus, my passion for creating these interesting sites began!
This is more or less a commissions site where I create modernized websites to whoever needs it! In today's standard, old static site designs are boring and don't really grab the reader's attention. Modern sites incorpirate Hi res images with animations to keep the user curious for more!
I personally love websites that flow cause it really brings life into an otherwise boring website!
Ready to start? Have an Idea? Shoot me a message here


--- layout: post title: How Browsers Work Article (Tali Garsiel) date: '2011-08-30T22:46:00+02:00' tags: - html5 - browser category: 'WWW' tumblr_url: http://andywenk.tumblr.com/post/9597921052/how-browsers-work-by-tali-garsiel ---
Moin Moin,
I recently read the super awesome article “How Browsers Work” here:
http://www.html5rocks.com/en/tutorials/internals/howbrowserswork/
Paul Irish cleaned up the original article written by Tali Garsiel, an Israeli developer. You can find her article here:
http://taligarsiel.com/Projects/howbrowserswork1.htm
I strongly recommend all people who develop software for the web to read this article. It provides a great look behind the scenes of how browsers work. The topics are:
_ the rendering engine - processing the HTML document
_ the parser with it’s lexical and syntax analysis - the lexer (tokenizer) creating tokens and the parser constructing the pars-tree by applying syntax rules
_ the HTML parser based on a DTD
_ the resulting DOM-tree after parsing HTML
_ the parsing algorithm of the HTML Parser
_ the tokenization algorithm
_ the tree construction algorithm creating elements of the resulting DOM-tree and each of it’s token
_ CSS parsing
_ render tree construction
_ creating the layout (or reflow) out of the render tree
_ the painting process - display the content elements by traversing the created render-tree
_ the CSS2 visual model
This is a lot of stuff and actually I am reading the article the second time. Imho the biggest benefit of studying the article is the deeper understanding how all the components of a browser work together to present the resulting website.
Here are some links I extracted for further reading.
_ The webkit rendering engine used by Chrome and Safari browsers: http://www.webkit.org/
_ context free grammar:
http://en.wikipedia.org/wiki/Context-free_grammar
_ Flex parser generator:
http://en.wikipedia.org/wiki/Flex_lexical_analyser
_ Bison parser generator:
http://www.gnu.org/software/bison/
_ HTML5 specification:
http://dev.w3.org/html5/spec/Overview.html
_ WHATWG community working on HTML:
http://www.whatwg.org/
_ parsing HTML:
http://www.whatwg.org/specs/web-apps/current-work/multipage/parsing.html
_ HTML syntax:
http://www.w3.org/TR/html5/syntax.html#html-parser
_ CSS2:
http://www.w3.org/TR/CSS2/
_ CSS specification:
http://www.w3.org/TR/CSS2/grammar.html
_ CSS2 box-model:
http://www.w3.org/TR/CSS2/box.html
Some of the links are kind of lame to read in a way but still very interesting for digging deeper.
I hope you enjoy reading the article the same way I do.
Cheers
Andy


Interest
Category
Proficiency
Dancing
Cultural
9
Public Speaking
Public Speaking
7
Painting
Cultural
8
Badminton
Sports
7
Swimming
Sports
7
Travelling
Others
-


DARTS Technical Overview
What is DARTS?
DARTS stands for Dynamic and Responsive Targeting System. It is a system that couples concepts from multi-armed bandit algorithms modified for delayed feedback scenarios with a mechanism for fairly allocating targets from each arm.
DARTS operates in a feedback loop where targets are selected and an action is applied (e.g., making a call, showing an ad, etc.), and the results (whether the targets are good and bad) are observed. The results are then used in the next iteration of the loop to change the number of targets that are drawn from each target pool.
There are three main components:
-
Target Pools:
- Group targets together based on shared attributes.
- They are flexible, can be as simple as demographic groups or as complex as machine learning model predictions (see case study).
- They can overlap or assign quality scores (like prediction probabilities) for individual targets.
- You don’t know which pool will have the good targets, so they are distributed evenly at first.
-
Adaptive Module:
- Dictates how many targets to select in the next round based on prior results.
- Under the hood, it’s a multi-armed bandit
-
Allocation Mechanism:
- Dictates a strategy to pick targets using adaptive module as input.
- Can pick the allocated targets from each pool all at once.
- Or you can pick one target at a time, rotating through each pool in a round-robin fashion.
- The exact strategy you use is dictated by target pool setup and problem domain.
Multi-Armed Bandits
A multi-armed bandit takes its name from the idiomatic phrase for a slot machine, "one-armed bandit." The payoff, or reward, for pulling the arm on the slot machine is unknown to the user, but could be estimated after pulling the arm many times. A multi-armed bandit is an extension of this idea where now the user wants to optimize the payoff from pulling the arms from an array of slot machines.
The optimization process in this scenario relies on balancing how often the user explores pulling the different arms with how often the user exploits the arm with the best known rewards. There are many algorithms, known as explore/exploit policies, that exist to do this: epsilon-greedy, UCB, and Bayes UCB, to name a few. These algorithms are designed to work in an online scenario where the user gets a reward immediately after pulling one of the arms.
An example of this scenario is a casino with many slot machines. The user pulls the arm on a slot machine, observes a reward, computes the next arm to pull based on the chosen explore/exploit policy, and then pulls the next arm. This process is repeated for each arm pull.
Delayed Feedback Scenarios
In the real world, reward feedback may be delayed until after a user pulls multiple arms. These scenarios require that explore/exploit policies are modified to optimize which arms should be pulled in the next round on a batch-by-batch basis. Instead of the explore/exploit algorithm dictating a single arm to pull, it instead dictates the mix of which arms should be pulled the next round.
To extend the casino example, let's say that the user was banned from the casino because of their calculation and arm pulling antics. Instead of the user going inside the casino themselves, they send a friend in with instructions indicating how many times their friend should pull each arm. The friend records the rewards from each pull of each arm. When the friend leaves the casino, they report the rewards to the user, and the user computes how many times the friend should pull each arm the next time they are sent in to the casino.
Allocation Mechanism
In simple cases, as outlined in the example above, explore/exploit algorithms modified for delayed feedback can just dictate how many times each arm should be pulled. Depending on the use-case, however, pulling an arm in a multi-armed bandit problem may be more complicated than simply making the choice and observing a reward. DARTS was designed for a case study where each arm was a machine learning model. Pulling an arm meant picking a prediction from the model and performing an action on that prediction. Only then could a reward be observed. As outlined, this is still fairly straight-forward. We could just allocate the top *n* predictions from each model, where *n* is the number of arm pulls dictated by the explore/exploit algorithm.
However, in our case, the predictions from each model were not completely disjoint, meaning that multiple arms contained some of the same predictions. But the actions required by our problem necessitated disjoint contributions from each model each round. To operate in this context, we developed an allocation mechanism to fairly distribute predictions from each model. The process was not as simple as just choosing how many times each arm should be pulled.
Allocations require re-thinking when predictions (or pools) overlap between arms. If we allocate all predictions from a model at once, we risk disadvantaging the other models by pulling predictions from further down in their pool. To accommodate for this, we allocate from pools in a round-robin fashion. The pool that gets the least allocation goes first and picks one prediction, then the next pool picks one, and so on until all pools have picked. After each arm has picked one, the order is reversed and each arms picks one again. This process repeats until all allocations have been made. If an arm runs out of allocations part way it is excluded from the round-robin.
Rewards
Rewards are a core part of multi-armed bandit problems. Simply put, a reward is some number quantifying a gain received from pulling one of the arms. The explore-exploit algorithms included in DARTS attempt to maximize rewards received at each time step.
How that reward is calculated depends on the framing on the problem. One common use-case for multi-armed bandits is comparing advertisements. The arms in this scenario are each advertisement. The explore/exploit algorithm dictates which advertisement is shown. The reward is a visitor clicking on an advertisement.
For our case study, the reward was a model making a correct prediction for a conflicted voter. Because our arms had overlapping distributions, each arm received a reward for making a correct prediction regardless of which model contributed it to the target pool. It is up to the user of DARTS to apply rewards according to the needs of their use-case.
Explore/Exploit Algorithms
DARTS ships with three Explore/Exploit Algorithms, epsilon-greedy, UCB1, and Bayes UCB. Each of these algorithms have been modified from the original one-at-a-time online design to accommodate delayed feedback scenarios.
Epsilon Greedy
The epsilon-greedy algorithm is the most common and simplest of the explore/exploit algorithms. A parameter epsilon is chosen to determine the proportion of time the user should explore instead of exploiting the best performing arm. For example, if epsilon is 0.1, then 90% of the time the user will pick the best performing arm (exploit) and 10% of the time the user will choose a different arm (explore). In an online learning scenario, the exploration is simply a random choice from all the arms except the best performing one.
In DARTS, we modified this algorithm to account for delayed feedback scenarios following the methodology from Liu, Downe, and Reed (2019). In this scenario, the best-performing arm is pulled \(N\cdot(1-\epsilon)\) times where \(N\) is the total number of times to pull an arm for the next round. Any remaining arm \(k\) is pulled \(N\cdot\frac{\epsilon}{K-1}\) times where \(K\) is the total number of arms.
The epsilon-greedy policy tends to plateau the quickest in terms of which arm is the most optimal to pull, but that plateau tends to be lower than other algorithms.
Upper Confidence Bounds
There are two related policies that can be used with DARTS surrounding the idea of an upper confidence bound. In the context of a multi-armed bandit problem, the upper confidence bound we care about is the upper confidence bound on the rewards generated by a given arm. Upper Confidence Bound explore/exploit algorithms rely on the confidence the user has in the mean rewards generated by pulling a given arm. As the number of times and arm is pulled increases, the more confident the user is in the mean rewards gained from pulling that arm. In an online setting, the arm with the highest upper confidence bound is picked to be pulled. Arms with wide confidence intervals are more likely to be picked (explored) through the process of updating the upper confidence bound after each pull. Eventually, the choice in arm will stabilize.
To modify Upper Confidence Bound policies for delayed feedback, we simply normalize the upper confidence bound for all the arms and use the result as the percentage of time an arm should be pulled. Because this technique stabilizes over time instead of always picking the best arm, we implemented a greed factor that a user can use to bias the arm pull allocations towards the best performing arm as needed.
The two flavors included in DARTS are UCB1 and Bayes UCB.
UCB1
In the UCB1 explore/exploit policy, the size of the confidence interval is dictated by a timestep \(t \in [1,\infty)\). In an online scenario, \(t\) is updated with each arm pull, but in a delayed feedback scenario \(t\) online increases with each round of multiple arm pulls. The equation follows:
\[N_{a,t+1}=N_{t+1}\bigg(\frac{\mu_a+\sqrt\frac{2\log_{10} t}{n_{a}}}{\sum_{a\in A} \mu_a+\sqrt\frac{2\log_{10} t}{n_{a}}}\bigg)\]This equation states that the number of times to pull arm \(a\) during the next round (\(N_{a,t+1}\)) is equal to the total number of pulls next round (\(N_{t+1}\)) multiplied by the mean rewards for arm \(a\) plus the square root of the log of timestep \(t\) divided by the number of times arm \(a\) has been pulled so far.
The UCB1 policy tends to perform much better than epsilon-greedy in the long term, but requires more rounds of play to reach its optimum mix of arms to pull.
Bayes UCB
The Bayes UCB explore/exploit policy relies on the idea of Baye's Rule, that the probability of the mean rewards for an arm is conditioned on the history of rewards received during previous pulls. The Bayes UCB policy assumes that the distribution of rewards for each arm are independent and are drawn from Gaussian distributions. Bayes UCB does not rely on a timestep to implement decay like UCB1 does. Instead, Bayes UCB parameterizes the upper confidence bound calculation with a constant \(c\) that reflects the number of standard deviations from the mean to consider for the upper confidence bound. The equation is similar to that of UCB1:
\[N_{a,t+1}=N_{t+1}\bigg(\frac{\mu_a+\frac{c\sigma_a t}{\sqrt n_{a}}}{\sum_{a\in A}\mu_a+\frac{c\sigma_a t}{\sqrt n_{a}}}\bigg)\]In this equation \(\sigma_a\) is the standard deviation of the rewards.


Former President Jimmy Carter is back teaching Sunday school
PLAINS, Ga. (AP) - Former President Jimmy Carter is back at church teaching Sunday school less than two weeks after breaking his pelvis in a fall.
The 95-year-old Democrat used a walker to slowly enter the crowded sanctuary at Maranatha Baptist Church in the southwest Georgia town of Plains on Sunday.
He sat on a motorized lift chair at the front of the room to teach a 45-minute lesson on life after death. More than 400 people were on hand.
Carter was briefly hospitalized and has since been recovering at home since fracturing his pelvis on Oct. 21. He also fell a few days before that and needed stitches above his left eye.
Carter is the oldest U.S. ex-President ever and has been teaching Bible lessons since he was in his teens.
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Please read our comment policy before commenting.


Application names
Pending
@if(applications.pendingApproval.nonEmpty) {-
@for(application <- applications.pendingApproval) {
-
@{application.name}
submitted: @{dateFormatter.print(application.submittedOn)}
}
There are no pending applications.
}Approved
@if(applications.approved.nonEmpty) {-
@for(application <- applications.approved) {
-
@{application.name}
submitted: @{dateFormatter.print(application.submittedOn)}
@if(application.state == PRODUCTION) { verified } else { not yet verified }
}
There are no approved applications.
}


黒の手番です。33 はどう動かしますか？
Unlimited
pips Black=112 White=115
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 10/7(2) 8/5(2) eq:+0.461 62.77% (G:8.30% B:0.17%) 37.23% (G:6.15% B:0.18%) 2. 10/4 8/5(2) eq:+0.342 (-0.119) 58.96% (G:8.56% B:0.19%) 41.04% (G:8.73% B:0.25%) 3. 8/5(2) 7/4(2) eq:+0.251 (-0.210) 56.39% (G:8.08% B:0.17%) 43.61% (G:9.23% B:0.33%) 4. 8/5(2) 4/1(2) eq:+0.225 (-0.236) 55.25% (G:5.52% B:0.09%) 44.75% (G:8.28% B:0.26%) 5. 7/1(2) eq:+0.124 (-0.337) 55.13% (G:6.64% B:0.07%) 44.87% (G:9.06% B:0.46%)


See: Description
| Class | Description |
|---|---|
| DirEntry |
Entries returned by the
Repo.readDir(Path) function. |
| Env |
This class is to initialise ZboxFS environment.
|
| File |
A reference to an opened file in the repository.
|
| FileInputStream |
A
FileInputStream obtains input bytes from a file in a ZboxFS file system. |
| Metadata |
Metadata information about a regular file or a directory.
|
| OpenOptions |
Options and flags which can be used to configure how a file is opened.
|
| Path |
This class represents an absolute location of file or directory in ZboxFS repository.
|
| Repo |
The
Repo class represents an encrypted repository containing the whole file system. |
| RepoInfo |
Information about a repository.
|
| RepoOpener |
A builder used to create a repository in various manners.
|
| Version |
A representation of a permanent file content.
|
| VersionReader |
A reader for a specific version of file content.
|
| Enum | Description |
|---|---|
| Cipher |
Crypto cipher primitives.
|
| FileType |
This class represents a type of file, that is, a regular file or a directory.
|
| MemLimit |
Password hash memory limit.
|
| OpsLimit |
Password hash operation limit.
|
| SeekFrom |
Enumeration of possible methods to seek within a file or version reader.
|
| Exception | Description |
|---|---|
| ZboxException |
Exception to indicate that there is an error happened during operations in
ZboxFS.
|
ZboxFS is a zero-details, privacy-focused in-app file system.
Its goal is to keep your app files securely, privately and reliably on underlying storage. By encapsulating files and directories into an encrypted repository, it provides a virtual file system and exclusive access to the authorised application.
The most core parts of this module are Repo
and File
,
which provides most API for file system operations and file data I/O.
Repo
provides file system manipulation methods, such as openFile,
createDir and etc.File
provides file I/O methods, such as read, write, seek and etc.
Env.init(java.lang.String)
initialises the environment and should be called
once before any other methods provided by ZboxFS.
After repository is opened by RepoOpener
, all of the other functions provided
by ZboxFS will be thread-safe.


You can make your bullet points or numbered list items into outlines that you can expand or collapse:
class="outline"
to the

or

element.
(Click on this list item for more details)
class="expand"
to any

elements that you want to start in an expanded state.
class="expand"
is specified.
Here’s a variant of the previous slide. This is not supported by Slidy.
class="accordion"
to the

or

element.
(Click on this list item for more details)
outline
class, there are two
differences.
(Click on this list item for more details)
class="expand"
is not supported (yet).
For incremental display,
use class="incremental"
:
This also works for images. :-)
Variant: class="progressive"
This still works for images. :-)
CSS transition: | | | | |


Once our Bitcoin wallet technology is in place you'll be able to freely trade with your friends online, just like you can in person. You'll be able to use Bitcoin, the digital cash of the internet, to trade digital and physical goods or to simply transfer remittances. With your Vultronix wallet, you'll be able to spend Bitcoin at thousands of places around the world.


HS_Internships
Home
HS Internships
Internships
Jobs
Contact Alum
Company
Job
Field
Link
Location
Pay
Experience
Notes
II_VI Marlow
Internship
Link
Dallas, TX
8.25
0


STATUS: ...
# Neurons: ...
# Connections: ...
Memory size: ...
Article: ...
# Articles: ...
# Characters: ...
Time trained: ...
Target word: ...
Predicted word: ...
Synaptic error: ...
Prediction error: ...
Elapsed time: ...
PAUSE
EXPORT
IMPORT
RESET
SKIP
SAVE


Copyright (c) 2003 Jorge Nuno Silva
This game is played on the following board:
|
Usually, a player will prefer to swap enemy isolated pieces, because he will increase the move range of his upper stones.
| An example
White threats a win by swapping c4 (which will be protected one turn by the Ko rule) and then d3-c4 (making a diagonal 3 in-a-row). However, Black replies with c1-c2 (can win next turn with e3-d2). So White replies d2, then c2-c3 (e3-d4 threat), d4, c3-c4 and the White first threat ended. |


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On Sunday, November 24th , the body was brought
to
Among those who attended the funeral are: Mr. and Mrs. D.E.
Eddy, of
Many citizens of
Spirit of Democracy,
Mrs. Barbara Reischman died Monday morning at
Mrs. Reischman who was 79 years of age, was born at
Miltonsburg. She was the widow of Matthias Reischman, and is survived by two
brothers, two sisters, four sons and one daughter.
The burial mass was read by Rev. Michael J. Sullivan at the
Church of the Assumption on Wednesday morning at
Spirit of Democracy,
William Hammer Davis, fourth child of George Washington and
Ruth Ann Davis, who was born December 41[should be 4], 1877, near Hunter,
Belmont county, passed away November 30, 1929, at the age of 51 years and 11
months.
He is survived by two sisters, Alice and Olive Davis, of
the home and two brothers, Clinton Guy, of
During his young manhood he affiliated with the Methodist
Episcopal Church at
He was a member of Somerton Lodge No. 618, Knights of
Pythias, Having belonged to this organization for twenty-one years.
Mr. Davis has been a resident of
1930 Return to Top of Page
and Index of Years
George D. Cree
The Spirit of Democracy Issue: Woodsfield, Ohio, January 22, 1930
George D. Cree, aged 80 years, one of Woodsfield s most
highly respected citizens, died at his home on Oak Lawn avenue Friday morning,
January 17, 1930, following an illness of several months of complications
arising from a paralytic stroke.
Mr. Cree formerly resided near
He is survived by his wife, five daughters and three sons;
James W. Cree of Tulsa, Oklahoma; George B. Cree of Pampa, Texas; O. R. Cree,
of Wichita, Kansas; Mrs. W. A. Winland of Graysville; Mrs. S. G. Clegg of
Barnesville, Ohio; Mrs. Ella Frank of the home; Mrs. T. A. Jefferson of
Cleveland, Ohio; Mrs. B. L. Hoover of Pampa, Texas.
Funeral services were held Monday afternoon at 2 p.m. from
the late home and interment was in Oaklawn cemetery, Woodsfield. The Reverend
J. F. Casin conducted the service, assisted by Minister J. V. A. Traylor, of
Woodsfield Church of Christ.
Louis F. Christman
The Spirit of Democracy Issue: Woodsfield, Ohio, June 18, 1930
Louis F. Christman, aged 74 years, died at the home of his
brother Andrew G. Christman, on Sycamore street, Sunday morning, June 14, 1930,
at 8:00 , following an extended illness.
The deceased is survived by two sisters and two brothers,
Mrs. William Ricer, Mrs. Fred Snyder, A. G. Christman and William Christman.
Funeral services were conducted on Tuesday afternoon from
the late home at 2:00 o clock by the Reverend Otto C. Meyer of
William Ackerman
The Spirit of Democracy Issue: Woodsfield, Ohio, Wed., Jun. 25, 1930
William Ackerman, age 73, one of Woodsfield s highly
respected citizens, passed away Sunday evening, June 22, 1930, at 6:00 o clock
at his home on the Woodsfield-Lewisville road, after several weeks illness of
intestinal ailment.
Surviving are his widow, one son and one daughter as
follows: Raymond Ackerman and Celeste, both of the home; two brothers and two
sisters; besides a host of other relatives and friends who mourn his departure.
Deceased was well and favorably known throughout the County, having resided at
this place practically all of his life. He was a devout member of
Funeral services were held Tuesday afternoon at
They were largely attended, hundreds of friends and
relatives being present. Members of the I. O. O. F. Lodge carried flowers,
served as pall bearers, and conducted their final ritualistic service at the
cemetery.
John Kinney Yost
The Spirit of Democracy Issue: Woodsfield, Wednesday, June 25, 1930
John Kinney Yost, aged about 82 years died Saturday evening,
June 21, 1930, at his home near Coats, death presumably due to a stroke
apoplexy. He had been to Ozark earlier in the day and seemed in usual health.
The body was brought to the Bauer & Willison undertaking parlors and
prepared for burial, and there the funeral services were held Monday afternoon
by Minister J. V. A. Traylor, of the
He is survived by one brother, Attorney D. E. Yost, of Dade
City, Florida; and two sisters, Mrs. Mary Bradfield, of New Matamoras, and Mrs.
Whitney with whom he made his home in the winter at East Liverpool, since the
death of his aged mother a few years ago. In the summer he preferred the
solitude and familiar scenes of the old homestead.
Mr. Yost was retiring in disposition, honorable and sincere
in his contacts with his fellowmen and was highly respected by all who knew him.
Mrs. Henry Buckio
Source: The Spirit of Democracy Issue:
Mrs. Henry Buckio, died early Monday morning, September 1,
1930, at her home on Woodsfield Route 3. She had been ill for several months
and neither tender nursing by members of her family nor medical skill availed
to restore
her health.
 Funeral services will be held this Wednesday afternoon at
the late home at 2:00 o clock in charge of her pastor, Reverend Edward
Brueseke, of
Mrs. Buckio was a highly respected
woman and her death is mourned by scores of friends as well as by her family.
Anna Wahl
Source: The Spirit of Democracy Issue: Woodsfield, Ohio, Wed., Sept. 3,
1930
Miss Anna Wahl, daughter of Mr. and Mrs. Michael Wahl of
Woodsfield, Route 3, died Monday morning, September 1, 1930, at a hospital in
Akron, Ohio where she had been taking treatment for several months.
Funeral services were held this Wednesday morning at St.
Sylvester s Church, in charge of her pastor the Reverend Gilbert Mehler. Miss
Wahl was well known in Woodsfield and her death in the prime of young womanhood
is a matter of sincere regret to many friends as well as the family, who have
the sympathy of the entire community.
Dortha Neibch, (nee Baker)
The Spirit of Democracy Issue: Woodsfield, Ohio, September 1930
Mrs. Dortha Neibch, nee Baker, was born in Summit township,
Monroe County, Ohio on March 22, 1846, and died September 18, 1930, at her home
in Summit township, Monroe County, near Lewisville, Ohio. (Courthouse
records-
died September 21, 1930, white; female; parents, Jacob and Elisabeth Jacky
Becker.) She had attained the age of 84 years, 5 months, and 26 days. On July
24, 1866, she was united in marriage to Philip Neibch. To this union were born
ten children, three having preceded her in infancy.
Those surviving her are her aged husband, and seven
children: Mrs. Fred Matz, Mrs. Mary Matz, Johnnie Neibch and Elmer Neibch, all
of Lewisville, Ohio; Mrs. Katie Clary, of Quaker City, Ohio; Philip Neibch and
Miss Matilda Neibch of the home; also nine grandchildren; one brother, Fred
Baker, of canton, Ohio; one half-brother, Casper Baker, of Unionville, Ohio.
Three sisters and two brothers have preceded her to the Great Beyond.
Mrs. Neibch was baptized and confirmed in the faith of the
She was kind, true and a beloved wife and mother, and she
will be sadly missed in her home by relatives, friends, and neighbors who knew
her.
On September 21st she was laid to rest in the
May she rest in peace where there will be no more pain and
sorrow. We shall meet her again in the Eternal home never to part.
Louis D. Bott
Source: Monroe County death records and The Spirit of Democracy Issue:
Woodsfield, Ohio September 24, 1930
Mr. Louis D. Bott, aged about 75, died Thursday afternoon,
September 18, 1930 , at his home on Eastern ave, Woodsfield. He had been
seriously ill only a few days, but had not been in rugged health for several
months.
Besides his widow he is survived by two sons and two
daughters, Charles and Harry Bott and Mrs. George Norris of Woodsfield and Miss
Marie Bott at home.
Funeral services were held at the late home on Sunday
afternoon and were largely attended. Religious rites were conducted by his
pastor, the Reverend Otto C. Meyer, of
Mr. Bott was born at
Besides his immediate family he is survived by one brother,
John Bott, of
Mr. Bott was baptized and confirmed in the
Mr. Bott had lived retired for several years, was hospitable
in his home and kindly in disposition and was well respected by all who knew
him.
Elizabeth Pfalzgraf, (nee Miller)
Source: Newspaper clipping Issue: October 1930
She is the daughter of John and Mary Miller, who preceded
her in death several years ago. She was united in marriage to Lewis Pfalzgraf,
Sr., August 30, 1870. To this union eight children were born, as follows: Mrs.
J. O. Lemon, Mrs. H. C. McPherson, and C. C. Pfalzgraf, L. A. Pfalzgraf and
Mrs. B. F. Ramsey, one son George and two daughters, Louisa and Hattie have
preceded their mother in death.
She was converted and united with he Church at the early age
of 15, and was a faithful Church worker for more than 65 years. She journeyed a
distance of more than five miles to teach a Sunday school class for a number of
years. She was a member of the Rockport M. E. Church at the time of her
death.
Oliver DeVoe
Source: The Spirit of Democracy Issue: Woodsfield, Ohio October 8, 1930
Oliver DeVoe, aged 72 years, one of Lewisville s foremost
and lifelong citizens died Tuesday, October 6, 1930, following an illness
extending over a year. During his long and useful life he was always active in
furthering Church work and civic affairs of the village, and his passing is
keenly felt by his family and a wide circle of friends. Those bereft include
five children; Dr. Grover DeVoe, of Ashland; Walter W. DeVoe of Woodsfield;
Mrs. Homer Hines, of Cambridge, Ohio; Mrs. Cline Mathews of Athens, Ohio; and
Miss Alice DeVoe of the home.
Short funeral services were conducted from the late home at
1:00 Wednesday afternoon and the remains taken to the
Mary Hehr, (nee Kahrig)
Newspaper clipping Issue: October 1930
Mrs. Anna Maria Mary Hehr, nee Kahrig, was born in Summit
township, Monroe County, Ohio, December 24, 1849, the daughter of Christian
Gottlieb and Elizabetha Margaretha Maria Neuhart Kahrig. She died October 7,
1930, at her home near
In the year 1869 she was united in marriage to Lewis Hehr
and to this union eleven children were born. Three children having preceded her
in infancy, Ludwig, Dorothea, and Wilhelm.
Those surviving her are her aged husband and eight children:
Mrs. John Ludwig, of Lewisville; Mrs. Charles Ihlenfeld, of Wheeling, West
Virginia; Mrs. Alex Forbes and Mrs. Harry Larkin, both of Pittsburgh,
Pennsylvania; John of Canton, Ohio; Ben and Ed of Wheeling; Will of
Lewisville; also 21 grandchildren and 4 great grandchildren.
Mrs. Hehr was baptized and confirmed in the Faith of the
Funeral services were held at
John Neibch
The Spirit of Democracy Issue:
Death which so often and unexpectedly enters our homes and
community, recently has taken from us a husband and father Mr. John Neibch, of
The deceased was born June 4th, 1855, and died September
30th, 1930 in
Bailey of Cleveland, Ohio; Emma Weber of
Mr. Neibch was confirmed and joined the
Lewis (Louis) F, Jr.
Christman
Source:
Collection of Gertrude Christman Kahrig
Louis F. Christman, aged 74 years, died at the home
of his brother Andrew G. Christman, on
The deceased is survived by two sisters and two
brothers, Mrs. William
Ricer, Mrs. Fred Snyder, A. G. Christman and William Christman. (He never married.)
Funeral services were conducted on Tuesday afternoon
from the late home at 2:00 o clock by the Reverend Otto C. Meyer of
Albert Ross Buchanan, aged 72 years, highly
respected citizen of Woodsfield, died Thursday evening of last week at his home
here after a serious illness of several months, death being due to a
complication of diseases incident to advanced age.
Besides his widow he is survived by three sons and
one daughter; Frank and Mrs. W. J. Crawford, of Woodsfield; Charles of
Caldwell; and John, of
Mr. Buchanan and his wife moved to Woodsfield about
nine years ago from the
Funeral services were held at the late home Saturday
afternoon in charge of Rev. Melvin R. Yoho, former minister of the
(April
9, 1930)
Hall, Walter Hall
Died: December 19, 1930
Provided by Lena Kahrig Pettit, typed by Betty Lendon Matson
Walter, the fifteen-year old son
of Charles Hall, of near Graysville, died at his home there Tuesday morning,
death being due to a brain tumor. He had been ill only a few months and last
summer was active in club work and attended club camp.
Besides his father, he is
survived by his stepmother and one stepbrother, Stanley Hall, as well as many
friends in his community.
Funeral services will be held on
Thursday afternoon at 1:00 o'clock at Pleasant Ridge Church of Christ. The
grief-stricken family have the sympathy of the entire community.
Hughes, Mary A.E. Hughes
Death Of Mrs. Hughes
Source: The Spirit of Democracy, dated May 21, 1930
Provided by Lena Kahrig Pettit, typed by Betty Lendon Matson
On last Friday morning, May 16,
Mrs. Mary A.E. Hughes, ( Aunt Mary ), the best known citizen of Stafford, Ohio,
and for that matter in Southeastern Ohio, died at her home in that village
where she had lived for over sixty years. Death was due to infirmities of
advanced age. Frail in body for years, but indomitable in spirit, she lived
alone, self-dependent, optimistic and with a philosophy of life that might well
have been the envy of many who possibly pitied her on account of apparent
loneliness and isolation. And yet she was not alone for she had her books,
papers, friends and memories. Perhaps no individual in the county had more
contacts with friends local and distant and they played a great part in her life
with occasional visits, cards, letters and gifts.
As a child and young woman, she
had a newspaper experience in the office of a paper in Woodsfield in which her
father Editor Shipley was interested and for half a century possibly she was
the Stafford correspondent for the County papers and the reputation of Stafford
for rugged honesty, hospitality, interest in education and the good name of her
people generally is due to largely to the kindly messages her facile pen sent
forth year after year.
Though limited in education in
the ordinary sense of the word, she wrote eloquently of the virtues and lives
of those whom she knew intimately and her letters were read for their merit
alone, by many who knew little or nothing of
Mrs. Hughes was born at
Londonderry in
In 1867 she was married to Capt.
Thomas Hughes, who engaged in the mercantile business and was appointed
postmaster at
Their five children, two of them
twins, die in infancy, and in 1872, her husband passed to The Great
Beyond; two foster daughters, one died early in life and the other Mrs.
Charles S. McVey, of East Liverpool, Ohio survives her. Other near relatives
include a cousin, Miss Ora Little of Cambridge; and Donald Hughes of
Funeral services were held
Sunday afternoon at the home in charge of Rev. E. N. Miller, and at her
quest were characterized by briefness and simplicity. Interment was made in the
family lot in
Greenbank, W. K. Greenbank
Death of W. K. Greenbank
Source: The Spirit of Democracy, dated, March 19, 1930
Provided by Lena Kahrig Pettit, typed by Betty Lendon Matson
W. K. Greenbank, former
superintendent of Woodsfield schools, and for the past twenty years connected
with The University of Wooster, died at his home in
Funeral services were held at
For several years, Mr. Greenbank
was librarian at The University and later was made editor of the college
publications which position he held at the time of his death.
Many friends in
Hill, William Bailey Hill
Death of Bailey Hill
Source: The Spirit of Democracy, dated, December 30, 1930
Provided by Lena Kahrig Pettit, typed by Betty Lendon Matson
Rites for William Bailey Hill,
77, whose death occurred at four o'clock Monday morning at his home, 4274
Harrison Street, Bellaire, were conducted Tuesday evening at eight o'clock at
the Grafton- Bauknecht-Mellott mortuary on Thirty-seventh St., Bellaire.
Rev. J. W. Douds, pastor of The M.E. Church, officiated. Wednesday
morning the body was removed to Woodsfield and taken to the home of Mrs.
Ella Beardmore, where final rites were held at one o'clock. Interment in the
Deceased was born in
Bereaved by his death are his
widow, Mrs. Mary J. Hill, and one son, Hugh Hill of Warwood, and one daughter,
Mrs. William Nesbit. Four sisters and five grandchildren also survive.
Mr. Hill was a brother of Mrs.
Ella Beardmore and the late Mrs. James G. Rouse, also of Mrs. Hattie McCormick,
of
Mr. Hill had visited in
Woodsfield frequently and was honored and respected by all who knew him.
Brummel, George Brummel
Source: The Spirit of Democracy, dated June 18, 1930
Provided by Lena Kahrig Pettit, typed by Betty Lendon Matson
Word was received here Saturday
of the death of George Brummel, aged about 45 years, a former resident of
Monroefield, at
Short funeral services for Lee M. Kinkade, who died at the
home of his daughter, Mrs. R. H. Scott of Sewal, were held from the home and
were conducted by the Rev. D. J. McKay of
Lee Marion Kinkade was born February 27, 1848, in
In the spring of 1896 he was again married, his wife being
Belle Jackson of Lucerne, Mo. To this union were born four children, but again
on March 21, 1917, his wife died, leaving him alone again. He kept his home for
about eight years, after which time he has made his home with his daughter,
Mrs. R. H. Scott of Sewal, at which place he passed away November 4, 1930, his
age being 82 years, 8 months and 7 days.
He leaves his 12 children, Junie Sherman, Los Angeles,
Cal.; Forrest Kinkade of Kinghill, Idaho; Chloe Foster of El Reno, Okla.; Joe
Kinkade of Sewal, Iowa; Carrie Bowers of St. Joseph, Mo.; Hattie Marwood of
Durango, Mexico; Della Comb of Los Angeles, Cal.; Annie Chapman of San Antonio,
Texas; Jessie Scott of Sewal, Iowa; Ethel Killem of Carlisle, Iowa; Dixie
Kinkade of Lemons, Mo.; Chas. Kinkade of Sewal, Iowa; thirty-three
grandchildren, eleven great grandchildren; four sisters, Mrs. Kate Maring and
Mrs. Jennie Wailes of Centerville, Mrs. Ford Maring of Lucerne, Mo., and Mrs.
Maggie Holmes of California; one brother, Charley Kinkade of Exline, and a host
of other relatives and friends.
He came to
He was a good neighbor, a loyal citizen and a loving and
faithful father and although his family are all grown they will greatly miss
his fatherly counsel and advice.
CARD
OF THANKS
We wish to thank the neighbors and friends for their
assistance and sympathy during the sickness and death of our father, Lee Marion
Kinkade.
The Kinkade Children and
their Families
Source:
Edgar L. Kinkade was born in
For a few years he was engaged as a
teacher in the public schools of
The major portion of his life he has
been engaged as a stone cutter, and has followed his trade in
On the 25th day of December, 1887, he
was united in marriage to Mrs. Elisabeth Eakin, the ceremony being performed by
Benjamin L. Smith. Three children were
born to this union, all of whom died in infancy.
At the age of 14 years he publicly
confessed his faith in Christ as his savior and united with the Christian
Church at what was known as the Rabbit Ridge School House. In his early life he was very active in the
work of the church and
Because of the advanced years and the
gradual decline of his health, for the past few years Mr. Kinkade has been
slowly taking a smaller and smaller part in the work of affairs. On Wednesday morning he was found dead in
bed, having been really ill but for a few hours. He was 70 years, 8 months, and 17 days old.
He is survived by his wife, five
brothers: Charles A., of LaBelle, Mo.;
Ben F. of Kahoka; William of Wyaconda; James of St. Louis; and Eben of El Reno,
Okla; three sisters, Mrs. Catherine Ann Wadmore of Kahoka; Cynthia Messnier of
Dodge City, Kans; and Mrs. Rachel Dixon of Kahoka.
Mr. Kinkade has always been a man of
sterling qualities, a wide reader and hence well informed on the questions of
the day. He merited the high esteem in
which he was held in the community in which he lived. He was devoted to his home and its interests. In his death our community has lost a truly
good man.
Funeral services were conducted from
the Christian Church on Saturday morning, with the Pastor, L. H. West, in
charge. Interment was at
Those from a distance who attended the
funeral of E. L. Kinkade of this city, Saturday, were: Mrs. James Smith and daughter Lucille, of
Bentley, Ill.; Mr. and Mrs. D. C. Rogers and four children, of Fayette, Mo.;
Dr. and Mrs. James E. Dixon of Hannibal; Warner Lewis and wife, and Mrs. C.
Alton of Keokuk, Iowa; Mr. and Mrs. Eben S. Kinkade and son Gladstone of El
Reno, Okla.; and Mr. and Mrs. Will Kinkade of Wyaconda.
Source: The
Robert McCurdy, 17 year old son of
Douglas McCurdy of
Bertha
Riemenschneider, nee Armstrong
Source: The Spirit of Democracy,
Mrs. Bertha Riemenschneider, wife of Casper Riemenschneider of Canton, Ohio,
formerly of Woodsfield, died on Monday morning at her home. Death followed a
paralytic stroke. Mrs. Francis L. Sulsberger of Woodsfield, is a daughter.
Funeral services will be held at
Mrs. Riemenschneider was 66 years of age and before her marriage was Miss
Bertha Armstrong, a daughter of Ex-Commissioner and Mrs. James Armstrong. She
was born and reared at
Besides the daughter above mentioned she is survived by her husband and one
other daughter and a son, who are Mrs. Ray Brown and Darrell Riemenschneider.
Published
in the
John
W. Morris, 66,
Surviving
him are the widow, Mary Ann; and one daughter, Mrs. Catherine Rowley.
Go to Master Index for all Obituaries
[E1]au


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Angela RICCI and Emmanuel DEMEY
Small causes can have large effects
Sensitive dependence of initial conditions
HTML
Consolidate
or
Jeopardize
URL
Bad HTML means bad performance
Progressive Enhancement
What can be done using existing web foundations
Foundations matterJohn Allsopp
Design like we give a damn!Léonie Watson
Thanks!
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Constructor
new ColorHSBA(hopt, sopt, bopt, aopt)
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
h |
number |
<optional> |
0 | hue in degree (0-360) |
s |
number |
<optional> |
0 | satulation between 0 and 1 |
b |
number |
<optional> |
0 | brightness between 0 and 1 |
a |
number |
<optional> |
1 | alpha between 0 and 1 |
- Source:
Members
a :number
alpha between 0 and 1
Type:
- number
- Source:
b :number
brightness between 0 and 1
Type:
- number
- Source:
cp :SolidML.ColorPool
colorpool scheme for random generation, null for constant value
Type:
- Source:
h :number
hue in degree (0-360)
Type:
- number
- Source:
s :number
satulation between 0 and 1
Type:
- number
- Source:
Methods
blend(dst, ratio) → {SolidML.ColorHSBA}
blend color with another SolidML.ColorHSBA
Parameters:
| Name | Type | Description |
|---|---|---|
dst |
SolidML.ColorHSBA | color to blend with |
ratio |
number | blending ratio |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA
clone() → {SolidML.ColorHSBA}
create clone
- Source:
Returns:
new instance
- Type
- SolidML.ColorHSBA
copy(c) → {SolidML.ColorHSBA}
copy from
Parameters:
| Name | Type | Description |
|---|---|---|
c |
SolidML.ColorHSBA | source color copy from |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA
getRGBA() → {object}
get color as {r,g,b,a}
- Source:
Returns:
object has keys {r,g,b,a}.
- Type
- object
multiply(c) → {SolidML.ColorHSBA}
update color by another color
Parameters:
| Name | Type | Description |
|---|---|---|
c |
SolidML.ColorHSBA | color to multiply |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA
set(h, s, b, a) → {SolidML.ColorHSBA}
set
Parameters:
| Name | Type | Description |
|---|---|---|
h |
number | hue in degree (0-360) |
s |
number | satulation between 0 and 1 |
b |
number | brightness between 0 and 1 |
a |
number | alpha between 0 and 1 |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA
setColorPool(colorpoolInstance)
set random color generator
Parameters:
| Name | Type | Description |
|---|---|---|
colorpoolInstance |
SolidML.ColorPool | colorpool instance to generate random color |
- Source:
setHex(hexString) → {SolidML.ColorHSBA}
set color by "#HEX" string
Parameters:
| Name | Type | Description |
|---|---|---|
hexString |
string | color string stating with "#" and 3 or 6 hex. |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA
setRGB(col) → {SolidML.ColorHSBA}
set color by {r,g,b}
Parameters:
| Name | Type | Description |
|---|---|---|
col |
object | object that has keys {r, g, b} |
- Source:
Returns:
this instance
- Type
- SolidML.ColorHSBA


The toolkit has a command that will let you generate a swagger spec document from your code. The command integrates with go doc comments, and makes use of structs when it needs to know of types.
9 Nov 2015
The toolkit has a command that will let you generate a docker friendly server with support for TLS. You can configure it through environment variables that are commonly used on PaaS services.
22 Nov 2015
The toolkit has a command to validate swagger specifications for you. It includes a full json-schema validator and adds a bunch of extra validations on top of that to ensure the spec is as valid as possible, so that there are no surprises.
22 Oct 2015
The toolkit supports serving a swagger spec with untyped data. This means that it uses mostly interface{} as params to each operation and as result type. It does allow you to serve a spec up quickly. This is one of the building blocks required to serve up stub API’s and to generate a test server with predictable responses.
22 Nov 2015
There are 3 axis along which your API and its documentation tend to evolve. This toolkit aims to support you along all 3 axis and remove the repetitive nature of writing what is essentially boilerplate code for faster iteration times.
21 Oct 2015


There are some beautiful beaches in the world that have hidden dangers. When water floods sand below the surface, the sand particles get pushed apart. The result is a muddy mixture of the two that can't support the weight of a person. When someone walks over it, they sink down. It's a trap known as quicksand. As the person sinks down, it pushes the water out creating a vacuum effect that secures its victim tighter and tighter. Sometimes it only takes moments to absorb someone into a desperate situation.
This is what pornography does to millions every day. It starts simple enough without any sign of danger, a movie on cable or the click of the mouse. We tell ourselves there's nothing wrong with it, or perhaps it's not that bad, even though we keep it secret. Pretty soon what started as “controllable” and “here and there” turns into a habit, deeper and deeper. But the user is not the only one affected. The consequences for our society as a whole is alarming. Knowing the dangers and taking them seriously will allow us to avoid getting ensnared. The fate of the next generation depends on us.
It's a simple click away at all times. It is the number one temptation facing all adult men. If allowed to fester in our lives, porn slowly erodes not only our rational senses but our very souls. A marriage is diseased when outside sexual influences work their way into it, and as those influences progress, the marriage falls deeper and deeper into despair.
I have not talked to a single man who has watched porn habitually that said it was easy to stop. Even in spite of an intense desire to live porn free because of how it was affecting their lives in a negative way, every guy I've talked to has said it was a “struggle.” Many have not even been able to quit. They are slaves serving a master.
Intimate relationships demand an investment of time and energy. It involves sacrifice and vulnerability. All of those things are difficult. Porn is a cheap and quick way to avoid all of that in order to get a momentary rush of similar feelings that intimacy brings. The problem is that the desires that would be found in a relationship are replaced by porn. Sex becomes a selfish pursuit of recreating scenes from movies (if it doesn't disappear altogether). The sexual relationship gets cheapened when connection ceases to be the goal. Couples drift apart, particularly as most of the viewing is done in secret. A 2003 poll of 350 attorneys specializing in divorce at the American Academy of Matrimony Lawyers revealed that a large amount of their divorce cases involved one person with compulsive porn use. It's playing with fire.
Every click to a porn website contributes to destroying lives. Even most of those who have willingly entered into the porn industry speak of being coerced to do hurtful things they never wanted to do. One of the most popular male porn stars of all time gave a personal account to the website Fight the New Drug. In it, he said, “I had to go to work so I could do the porn; so that I could buy the drugs to bury the pain from doing the porn; And around and around it went.” Even worse, porn fuels the demand for prostitution, many of whom are victims of human trafficking. In a 2003 study, 854 human traffic survivors were surveyed and it showed that 50% were forced to do pornography.
Boys and girls are exposed to pornography early and get hooked.   They play at being sexual by sending and posting naked pictures to one another and performing sex acts as early as age eleven. They do all of this without the brain development to understand the long-term consequences. It's contributing to the destruction of a generation deficient in what it means to build intimacy.
The problem is us. Adults have told them what to be. Adults produce the material and market to kids. Adults have sexualized them and they are simply molding to the culture we have formed and approved. According to Homeland Security Investigations, child exploitation cases continue to jump higher and higher. Last year, the number one search term among porn was “teen.” That should shock our collective conscience, but I fear as a society we may have burned it away.
Great marital sex has little to do with technique, stamina, or experience. The genuine passion built up between two people in love connecting in the highest physical form of intimacy is what makes for great marital sex. This is difficult to achieve even without porn introduced into the equation. Children, stress, and busyness all take their toll on genuine passion. Pornography will outright destroy it. In studies, many women will say they don't feel that their porn-addicted husband is truly present when they make love.
Porn is a multi-billion dollar per year industry. It has to be visually exciting and instantly grab your attention to be successful. It's entertainment performed by actors.  When we fill our minds with the false images of porn, we naturally take those expectations with us to the bedroom. This leads to disappointment for the husband and a wife with a wrecked self-esteem.
Most, if not all, wives (if they are being honest), consider their husband viewing pornography as cheating. Another woman, even just her image, has been introduced into your relationship and she's now having to compete with it. Continual viewing of porn will erode the trust built in your marriage until it is gone completely. Meanwhile, the ability to actually feel intimacy together will wear away at the exact same pace as the trust.
A husband addicted to porn will justify his actions to himself. He'll find blame to place on his wife or his life but what he's really trying to cover up is the shame he's feeling. The best way to explain this is to imagine the best sex ever had with your wife and the euphoria that accompanied it afterward. Porn has no chance of ever producing that feeling. It's not real and it leaves only shame and emptiness after the fact.
Addictions all work the same way. As they progress, you need more and intensified versions of your addiction. In time, no matter how much is consumed, that satisfied feeling felt in the beginning can never be reached. A porn addict is no different than a drug addict, in that they are both desperately trying to find that high that keeps eluding them. In the end, the addict will either seek help or watch his life fall apart piece by piece. There is hope in the resiliency of the soul.


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CS 360 Lab 7 - Drew Henrie


--- layout: page title: Calvin Brown #centered title at top of page subtitle: Urban Planner, Cartographer, Transit and Safe Streets Advocate #use-site-title: true ---


buy service in bulk
Who owns Mint Mobile?
by Hayato HusemanBest answer: While Mint Mobile operates on T-Mobile's network in the U.S., it's actually owned by Ultra Mobile, another MVNO.
Get in on this plan: Mint Mobile ($45 for 3 months at Mint Mobile)
The origins of Mint Mobile
Mint Mobile is a unique prepaid carrier that sells its plans in multi-month bundles, rather than on a per-month basis. With prices starting as low as $15 a month, you can buy up to a year of service at once and enjoy up to 12GB of LTE each month.
Because Mint Mobile uses T-Mobile's towers in the U.S. for its service, it's easy to assume that it's owned by T-Mobile as well, but Mint Mobile is actually a subsidiary of Ultra Mobile, another MVNO (mobile virtual network operator). Ultra Mobile, founded Mint in 2016 under the name Mint SIM, sells SIM cards online and through partnering retailers rather than in its own physical stores. Mint SIM was rebranded to Mint Mobile in May of 2018.
Like many other prepaid carriers, Mint Mobile offers unlimited calls, texting, and data, with different allotments of LTE speeds depending on the plan you choose. You also get Wi-Fi calling, assuming your phone supports it — Mint sells compatible phones on its site, but encourages you to bring your own device as well, provided it's GSM-unlocked and compatible with T-Mobile's network.
Our pick
3-month, 3GB plan
Unlimited talk, text, and data with 3GB of LTE each month.
Mint's most affordable plan is just $45 for three whole months of service. You'll get 3GB of LTE each month, along with mobile hotspot and free calls to Mexico and Canada, but of course, there are higher tiers if you need more data.
We may earn a commission for purchases using our links. Learn more.


Weather Dashboard
Enter a city:
Searched Cities:
Current Weather Conditions
City:
Weather Conditions:
Temperature:
Humidity:
Wind Speed:
UV Index:
5-Day Weather Forecast


Hello! My name is Michael Heer and I am a Deli Manager turned Programmer! For the past decade I have spent my time mastering deli business management, food merchandising, menu development, and other standard business practices such as inventory management, P&L management, etc. While I loved the industry, it was time for me to make a change into something I was more passionate about. After establishing a family I felt it was time to pursue my dream as a programmer and take steps towards a new tomorrow. Now I am working towards mastering my new skillset: full stack web devlopment. With that, I am here to help you and your business provide your customers with a seamless and enjoyable web experience.
A website built for gamers, by gamers. Find your favorite games, read reviews, and leave your own reviews.
Local brewery finder. Whether you are traveling or just relaxing in your home town, this tool will help find breweries near you!
Sleek weather dashboard that displays weather information for any city upon search
Manage your employees/work team with this team profile generator
Handy quick reference tool for commonly used CSS properties


Berlin, Germany
Director of Engineering @ Blacklane
Part of the Reek and RubyCritic core team
Or: How does Ruby run your program?
So what happens between...
def foo
puts 'hola!'
end
and
foo() # -> hola!
?
TODO: Naming everything foo and bar sucks, come up with better names that tell a story or at least have some meaning
...is the process of breaking a stream of text into meaningful elements called tokens
Ripper.tokenize "def foo end"
["def", " ", "foo", " ", "end"]
...is the process of giving meaning to these tokens
buffer = Parser::Source::Buffer.new('buffer', 1)
buffer.source = "def foo end"
Parser::CurrentRuby.new.tokenize(buffer)
[[:kDEF, ["def", #<Parser::Source::Range 0...3>]],
[:tIDENTIFIER, ["foo", #<Range 4...7>],
[:kEND, ["end", #<Range 8...11>]]]]
...is the process of creating an abstract syntax tree out of those tokens
Parser::CurrentRuby.parse "def foo; puts 'hola!' end"
s(:def, :foo,
s(:args),
s(:send, nil, :puts,
s(:str, "hola!")))
...is the process of turning this tree into bytecode
RubyVM::InstructionSequence.
compile('def foo; end').
disassemble
putobject :foo\n0008
putiseq foo\n0010
opt_send_without_block ... \n0012
...is the process of running this bytecode in the Ruby VM
putobject :foo\n0008
putiseq foo\n0010
opt_send_without_block ... \n0012
Ruby Interpreter
A syntax tree consists of nodes and edges
Nodes consist of s-expressions ("symbolic expression")
s-expressions are a notation for nested list (tree-structured) data
s(:send,
s(:int, 1), :+,
s(:begin,
s(:send,
s(:int, 2), :*,
s(:int, 3))))
ASTs don't represent every detail that appears in the real syntax
:foo if :bar # Version 1
if :bar then :foo; end # Version 2
Both versions will result in the same AST
s(:if,
s(:sym, :bar),
s(:sym, :foo), nil)
There are a ton of cool things you can only do on an AST
If you understand ASTs you just learned LISP for free
For this talk we'll focus on the "cool things" ®
A code smell is a hint that something might be wrong, not a certainty
Calling something a code smell is not an attack
No codebase is perfect
# UncommunicativeMethodName / ParameterName
def m(a, b, c, d, e, f) # LongParameterList
# ClassVariable
@@klazzy = 42
call_me(f)
call_me(f) # DuplicateMethodCall
end
Feature Envy occurs when a code fragment references another object more often than it references itself
class Warehouse
def sale_price(item)
# We refer to one instance variable (ok)
# but call two methods on our
# `item` argument (questionable)
(item.price - item.rebate) * @vat
end
end
Running Reek on
class Warehouse
def sale_price(item)
(item.price - item.rebate) * @vat
end
end
We use the awesome Parser gem to generate the AST
def syntax_tree
begin
ast, comments = parser.
parse_with_comments(source, origin)
rescue Parser::SyntaxError => error
$stderr.puts "#{origin}: #{error.class.name}: "\
"#{error}"
end
# snip
end
This will return a tree consisting of Parser::AST::Node
We wrap that into a tree of contexts
def build(exp)
context_processor = "process_#{exp.type}"
if context_processor_exists?(context_processor)
send(context_processor, exp)
else
process exp
end
end
def process(exp)
exp.children.grep(AST::Node).each(&method(:build))
end
We then traverse this tree of contexts and run all eligible smell detectors on it
class UncommunicativeParameterName < SmellDetector
def inspect(context)
context.parameter_names.select do |name|
uncommunicative_parameter_name?(name, context)
end.map do |name|
smell_warning("has the parameter name '#{name}'")
# ...snip
end
end
def uncommunicative_parameter_name?(name, context)
!acceptable_name?(name, context) &&
context.uses_param?(name)
end
end
Use Reek's Rake task to add it to your CI
require 'reek/rake/task'
Reek::Rake::Task.new do |t|
t.fail_on_error = false
end
Add Reek's custom matchers to your RSpec examples
require 'reek'
require 'reek/spec'
require 'rspec'
RSpec.describe 'Reek Integration' do
it 'works with Reek' do
smelly_class = 'class C; def m; end; end'
expect(smelly_class).not_to reek
end
end
Include Reek using the Developer API
require 'reek'
source = <<-EOS
class Dirty
def m(a,b,c)
puts a,b
end
end
EOS
reporter = Reek::Report::TextReport.new
examiner = Reek::Examiner.new source
reporter.add_examiner examiner
reporter.show
Takes code like this
class Greeter
def initialize(phrase, enabled = true)
@phrase = phrase
@enabled = enabled
end
def say_hello(options)
"#{@phrase} #{options[:name]}" if @enabled
end
end
And turns it into something like this
def say_hello(options)
if true # <- Bad guard
"#{@phrase}#{" "}#{options[:name]}"
end
end
Or this
def say_hello(options)
if false # <- Bad guard as well
"#{@phrase}#{" "}#{options[:name]}"
end
end
Mutant then runs your tests against each mutation
Failing tests kill the mutants
Surviving mutants show a lack of test coverage
In the first step Mutant initializes its configuration
module Mutant
class Config
DEFAULT = new(
debug: false,
expected_coverage: Rational(1),
# snip
fail_fast: false,
includes: EMPTY_ARRAY,
# snip
kernel: Kernel,
load_path: $LOAD_PATH,
)
end
end
An environment is initialized and infected based on the given configuration
module Mutant
class Env
class Bootstrap
def initialize(config)
self.config = config
@parser = Parser.new
infect
initialize_matchable_scopes
end
end
end
end
This environment loads the "subjects" - that is the modules you want to mutation test
def initialize_matchable_scopes
scopes = ObjectSpace.each_object(Module)
.each_with_object([])
do |scope, aggregate|
expression = expression(scope) || next
aggregate << Scope.new(scope, expression)
end
end
Subjects consist of your module in question together with one specific node
module Mutant
class Subject
attr_accessor :context, :node
# With node being an AST like this:
# s(:def, :say_hello,
# s(:args,
# ...snip
end
end
Lets contrast this with our example from the beginning
class Greeter # <- The subject
def say_hello(name) # <- The node
"#{@phrase} #{name}" if @enabled
end
end
A quick revision of our initial example
def say_hello(name)
"#{@phrase} #{name}" if @enabled
end
@@ -1,6 +1,6 @@
def say_hello(options)
- if @enabled
+ if true
"#{@phrase}#{" "}#{name}"
end
end
Mutant generates those mutations based on the subjects
# Original AST for "#{@phrase} #{name}" if @enabled
s(:dstr,
s(:begin,
s(:ivar, :@phrase))
# Mutation!
# "#{phrase}..." instead of<EMAIL_ADDRESS>s(:dstr,
s(:begin,
s(:send, nil, :phrase))
Another example
# Original
s(:if,
s(:ivar, :@enabled),
s(:dstr,
# The mutation from our initial example!
s(:if,
s(:true),
s(:dstr,
The environment gets passed to a Runner
The runner then runs our tests against all mutants
class Runner
def initialize(env)
self.env = env
reporter.start(env)
run_mutation_analysis
end
def run_mutation_analysis
@result = run_driver(Parallel.async(test_config))
reporter.report(result)
end
end
Include it into your CI
Depending on what you do, your CI runs might become really slow
Your CI runs will fail. A lot...
...because Mutant will uncover holes in your test coverage all the time
We looked at how Ruby interprets your source code
Talked about abstract syntax trees
Analyzed how Reek uses ASTs to derect code smells
Looked at how mutant creates mutants out of ASTs


What you see here is one of several rocky areas along the Chicago shoreline that many fish species rely on to thrive. Some of these artificial structures were built to replace lost habitats, especially for fish critical to the overall health of the lake. Others are designed to attract popular fishing species. The most notable is an artificial reef located about 7 miles south of here and a mile offshore. Since it was built in 1999, anglers and divers have seen smallmouth bass, yellow perch, alewife, and other key species living among the granite rubble.
The success of these habitats—whether natural or artificial—lies in their complexity. Rock reefs, fallen logs, aquatic plants, and other structures provide places for fish to hide from predators, escape the hot summer sun, and safely lay their eggs. These structures are also colonized by algae, bacteria, and insects, which other aquatic wildlife rely on for food. Without these nearshore habitats, Lake Michigan would not be able to sustain the large population of young and smaller fish that feed larger fish, birds, and even humans.


•Lightweight tables, which are available in Version 19, are not affected by this command, since they cannot be edited.
The selection specification consists of the following items:
Table Subtype: Enter the OMS table subtype. The subtype can be found by right clicking in the outline on an instance of the table and selecting Copy OMS subtype or from the list in Utilities>OMS Identifiers. Enter * to select all subtypes (not often useful with this command).
• Certain types of tables cannot be processed by this command. Tables with layers that have multiple categories or multiple dimensions cannot be processed. Tables with true nesting in the selected dimension cannot be processed except in replace mode. Note that Custom Tables output, which may appear to be nested, does not actually use true nesting and can, therefore, be processed.
Dimension: Choose Columns or Rows to determine the dimension of the table to process. If you choose Columns, a new value is computed for each row in the table and placed in that row in the selected column. If you choose rows, a new value is computed for each column and placed in the selected row. Multiple output columns or rows can be specified.
Target Columns or Rows Enter a blank-separated list of the target rows or columns to process. Rows or columns can be specified by numerical position counting from zero or by the label text in quotes. With text, the first matching label determines the target location.
• Text matches are case sensitive.
Repeat target specifications for entire dimension If the same label may occur more than once, you can check this box to repeat the label or sequence of labels enough times to span the entire dimension. For example, a table might have a "Count" label for each category of a variable. By checking this box, the "Count" target would be repeated for each category.
• Repetition can only be used when the targets are specified as labels, not when they are numbers.
Level for Label Text Matching The first (outermost) row or column is 0. Use negative numbers to count back from the end: -1 is the last (innermost) label row or column. Numerical and text specifications can be combined.
• Rows or columns are counted at the innermost level of the table.
Process tables from Choose whether to process only the tables from the immediately preceding command output or all the tables in the Viewer of the specified types.
Print table labels (for debugging) Check this box in order to see all the labels in the selected dimension. Since many tables have hidden labels, use this feature to see the full structure.
Formula; The formula specifies the computation to be carried out. For columns, it is applied to each row, and for rows, it is applied to each column. If you refer to quoted items in it, use single quotes ('), not double quotes (").
The formula can use the standard arithmetic operators (use ** for power) and standard Python mathematical functions such as min, max, mod, trunc, round, abs, exp, and log (base e, use log(x,10 for base 10). It must be valid Python syntax except as explained below. See the Python documentation, including the math module, for a complete list.
Row or coumn values in the table can be referred to in three ways. All of these are evaulated BEFORE any items are added to the tables.
Example: suppose there are columns with labels a, b, and c, and the target location is c. Then x[0] refers to the value at c, x[-1] refers to b, and x[-2] refers to a, regardless of the mode setting.
Note that the strings must be quoted. The bracket notation used here does NOT refer to Python dictionaries but is used to refer to locations.
Module with Custom Functions for Use in Formula The standard formula notation only provides access to values in the same row or column as the result location. In order to access other values in a table, for example, totals at the bottom, you have to write a custom function. This can also be useful if the calculation is complex. Specify the name of the Python module containing one or more functions to be used in the formula. See below for details on how to write a custom function.
Hide input columns or rows Check this box to hide all of the input rows or columns referred to in the formula (excluding references in a custom function.)
Target Columns Width (Points) Enter a number to specify the width of the target columns. The number refers to points. 72 points is one inch.
Target Column Format Choose a format for the target columns. Asis uses the current format if the target mode is replace; otherwise it uses the default. The other formats listed are the same as shown in the Cell Formats dialog box in the pivot table editor. Date formats are not listed here but are valid in syntax.
Number of Decimal Places Specify the number of digits after the decimal point to display. This setting is not applied if the format is asis.
Show Invalid Values As If a value cannot be computed because the input is invalid, for example, a missing or nonnumeric value or because of a numerical condition such as division by zero, this setting controls what is displayed in the table. You can enter custom text if the last radio button is set.
CROSSTABS /TABLES=jobcat BY gender /CELLS=COUNT.
This command uses a custom function in order to access the overall total in the table.
stats table calc
subtype='Crosstabulation'
/target dimension=columns level=-1 location="Total" Mode=replace
label="Ratio"
custommodule="customexample"
formula = "customexample.custom(datacells, ncells,
datacells.GetValueAt(roworcol, 0))"
/format cellformat="#,###.##" decimals=3.
Here is the function in the customexample module:
def custom(datacells, ncells, value):
'''Calculate percent of total'''
x =
float(datacells.GetUnformattedValueAt(ncells-1,2)) # total
return float(value) / x
Notes: The following variables are available for use in the formula in addition to the input parameters and the contents of the specified custom module.
The GetUnformattedValueAt method returns a Unicode string. It must be converted to a float for computations.
This dialog generates syntax for the STATS TABLE CALC extension command. To display help for this command, run the following syntax:
STATS TABLE CALC /HELP.
In command syntax you can specify a list of individually quoted subtypes.In syntax you can refer to a nearby secondary table and insert or use its values in the calculations.
This dialog requires the Integration Plug-In for Python and the STATS TABLE CALC extension command. For more information, see How to Get Integration Plug-Ins, under Core System > Frequently Asked Questions in the IBM SPSS Statistics Help system. The command is distributed as an extension bundle.
© Copyright SPSS Inc. 1989, 2013


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ActivationBiPolar
- Class in
activationFunction
BiPolar activation function.
ActivationBiPolar()
- Constructor for class activationFunction.
ActivationBiPolar
ActivationCompetitive
- Class in
activationFunction
An activation function that only allows a specified number, usually one, of the out-bound connection to win.
ActivationCompetitive()
- Constructor for class activationFunction.
ActivationCompetitive
Create a competitive activation function with one winner allowed.
ActivationCompetitive(int)
- Constructor for class activationFunction.
ActivationCompetitive
Create a competitive activation function with the specified maximum number of winners.
activationFunction
- package activationFunction
activationFunction(double[])
- Method in class activationFunction.
ActivationBiPolar
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationBiPolar
activationFunction(double[])
- Method in class activationFunction.
ActivationCompetitive
Perform the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationCompetitive
ActivationFunction
- Interface in
activationFunction
This interface allows various activation functions to be used with the neural network.
activationFunction(double)
- Method in interface activationFunction.
ActivationFunction
Implements the activation function.
activationFunction(double[])
- Method in class activationFunction.
ActivationGaussian
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationGaussian
activationFunction(double[])
- Method in class activationFunction.
ActivationLinear
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationLinear
activationFunction(double[])
- Method in class activationFunction.
ActivationLOG
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationLOG
activationFunction(double)
- Method in class activationFunction.
ActivationSigmoid
activationFunction(double[])
- Method in class activationFunction.
ActivationSIN
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationSIN
activationFunction(double[])
- Method in class activationFunction.
ActivationSoftMax
Implements the activation function.
activationFunction(double)
- Method in class activationFunction.
ActivationSoftMax
activationFunction(double)
- Method in class activationFunction.
ActivationTANH
Internal activation function that performs the TANH.
ActivationGaussian
- Class in
activationFunction
An activation function based on the gaussian function.
ActivationGaussian(double, double, double)
- Constructor for class activationFunction.
ActivationGaussian
Create a gaussian activation function.
ActivationLinear
- Class in
activationFunction
The Linear layer is really not an activation function at all.
ActivationLinear()
- Constructor for class activationFunction.
ActivationLinear
ActivationLOG
- Class in
activationFunction
An activation function based on the logarithm function.
ActivationLOG()
- Constructor for class activationFunction.
ActivationLOG
activationOutput
- Variable in class neuron.
Neuron
activationOutputSum
- Variable in class neuron.
Neuron
ActivationSigmoid
- Class in
activationFunction
The sigmoid activation function takes on a sigmoidal shape.
ActivationSigmoid()
- Constructor for class activationFunction.
ActivationSigmoid
ActivationSIN
- Class in
activationFunction
An activation function based on the sin function.
ActivationSIN()
- Constructor for class activationFunction.
ActivationSIN
ActivationSoftMax
- Class in
activationFunction
The softmax activation function.
ActivationSoftMax()
- Constructor for class activationFunction.
ActivationSoftMax
ActivationTANH
- Class in
activationFunction
The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.
ActivationTANH()
- Constructor for class activationFunction.
ActivationTANH
ActivationUtil
- Class in
activationFunction
Utility classes for activation functions.
actualDataPrediction()
- Method in class supervisedLearning.
BackPropagationNetwork
Used to feed actual prediction data to the system
adjustWeights(double, double)
- Method in class neuron.
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Game Type: {{ i }}
Width: Height: k: p: q:
Width: Height:
Number of rounds:
Number of players: Scoring Variant: {{ i }} Maximum hand size:
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Random variable objects in the Pattern Recognition Toolbox
The Pattern Recognition Toolbox offers a set of random variable objects with a wide range of functionality. prtRv objects can compute pdf or cdf values of a random variable, be used as a random variable generator, or perform a maximum likelihood fit of a random variable from a data set.
Contents
Specifying a random variable object
If you wish to specify the parameters of the random variable, you can do so in the following manner.
% Create a multi-variate normal random variable object rv = prtRvMvn; rv.mu = [1 1]; % Set the mean to be the coordinates [1 1] rv.sigma = [1 0; 0 1]; % Specify the covariance matrix rv.plotPdf; % Plot the pdf randomDraw = rv.draw(1) % Draw one sample from this distribution pdfVal = rv.pdf([1.5 1]) % Evaluate the pdf of this random variable % at the point [1.5 1]
randomDraw = 1.5056 1.4371 pdfVal = 0.1405
Maximum likelihood estimation of the parameters of a prtRv
If you have a dataset that you would like to fit to a prtRv object, you can use the mle method to find the parameters. For example:
data = randn(1000,2); % Create a zero mean 2 dimensional Normal vector rv = rv.mle(data) % Call the MLE function to estimate the % parameters of this data set
rv = prtRvMvn Properties: name: 'Multi-Variate Normal' nameAbbreviation: 'RVMVN' isSupervised: 0 isCrossValidateValid: 1 covarianceStructure: 'full' mu: [0.0158 0.0335] sigma: [2x2 double] plotOptions: [1x1 prtOptions.prtOptionsRvPlot] verboseStorage: 1 showProgressBar: 1 isTrained: 0 dataSetSummary: [] dataSet: [] userData: [1x1 struct]
You can fit any data set to any prtRv object. For example, you could fit a uniform random variable to the same set of data in the following manner:
rvUni = prtRvUniform; % Create a uniform random variable object rvUni = rvUni.mle(data) % Call the MLE function
rvUni = prtRvUniform Properties: name: 'Uniform Random Variable' nameAbbreviation: 'RVUnif' isSupervised: 0 isCrossValidateValid: 1 upperBounds: [3.5629 2.8627] lowerBounds: [-3.0020 -3.5467] plotOptions: [1x1 prtOptions.prtOptionsRvPlot] verboseStorage: 1 showProgressBar: 1 isTrained: 0 dataSetSummary: [] dataSet: [] userData: [1x1 struct]
Note, now the parameters of rvUni are set, and you can call any of the other prtRv functions, such as plotPdf or draw:
rvUni.plotPdf; % Plot the pdf randomDraw = rvUni.draw(2) % Draw 2 samples
randomDraw = -2.2486 1.2709 -0.3659 -3.4996
For a list of other functions related to to prtRv objects, see prtRv. All random variable objects in the Pattern Recognition Toolbox have the same API as discussed above. For a list of all the different random variables supported, and links to their individual help entries, A list of commonly used functions


Module providing the mechanism to obtain auth tokens for logging in to the AdWords API (>= v200902).
Methods
Constants
| ACCOUNT_TYPE | = | 'GOOGLE' |
| AUTH_PATH | = | '/accounts/ClientLogin' |
| SERVICE | = | 'adwords' |
Class Public methods
Retrieve authentication token for logging in to the AdWords API.
Args:
- email: the email address for the account being accessed
- password: the password for the account being accessed
- hostname: the hostname to connect to
- port: the port to connect to
- use_ssl: boolean indicating whether to use SSL or not
Returns: The auth token for the account (as a string).
Raises: AdWords::Error::AuthError if authentication fails.
Source: show
# File lib/adwords4r/authtoken.rb, line 53 def self.get_token(email, password, hostname, port, use_ssl) email = CGI.escape(email) password = CGI.escape(password) http_client = Net::HTTP.new(hostname, port) http_client.use_ssl = use_ssl # Avoid annoying warning http_client.verify_mode = OpenSSL::SSL::VERIFY_NONE data = "accountType=#{ACCOUNT_TYPE}&Email=#{email}&Passwd=#{password}" + "&service=#{SERVICE}" headers = {'Content-Type' => 'application/x-www-form-urlencoded'} response = http_client.post(AUTH_PATH, data, headers) if response.code == '200' return response.body[/Auth=(.*)/, 1] else raise AdWords::Error::AuthError, "Login failed for email %s: %s (code %d)" % [CGI.unescape(email), response.message, response.code] end end


This java applet is a simulation that demonstrates the kinetic theory of
gases. The color of each molecule indicates the amount of kinetic energy
it has. Use the Setup popup menu at the upper right to select one of
several examples. At the bottom of the applet is a velocity histogram
showing the
distribution of velocities of the molecules. Again, color is used
to indicate kinetic energy.
More applets.
Zip archive of this applet. (double-click on index.html to run)
The source.
Version 2.0a, posted 4/26/14
java@falstad.com


| 792 | (A) | waspasyane was wo wondyde wondirly sore |
| 795 | (C) | And vaspasiane wounded was þer . wonderly sore |
| 787 | (D) | vaspasian woundid was þere wondurly sore |
| 767 | (E) | waspasian þanne . was ywoundyd sore |
| (Ex) | ---- no text ---- | |
| 811 | (L) | waspasian wounded was þer wonderlich sore |
| 740 | (P) | waspasy?? wounded was wonderly sore |
| 775 | (U) | Vespasian there wounded was / wonderly sore |
| (V) | ---- no text ---- |


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