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Traditional leaders undergo training on customary land rights at Otjiwarongo
Traditional leaders from Erongo, Kunene and Otjozondjupa Regions are undergoing training on customary land rights in communal areas at Otjiwarongo.
The aim of the workshop is to capacitate traditional leaders to address challenges they experience in dealing with customary land rights.


I am Experienced Campus Ambassador with a demonstrated history of working in the professional . Skilled in Photography,MySql , Java, Management, and Network Marketing Professional. Strong education professional with a bachelor of computer application with eager to learn and perform task.
Working with this company is really a good experence and in this we have to promote there brand and conduct events.
This program main motive is to promote dell culture in our college campus .
to conduct events in name of uc and to promote new products of uc .
Pyjaipur is the larget active technical community in rajasthan .
Cyber and Open source community is a technical community in our University jecrc University.
GPA: 3.23
Percentage : 82%
GPA : 8.2
As per my intrust i love to code as well as to get know about various fields in it and different new current technology in the market as well as i usually love to go and take part in hackathons felling the culture and learning from the enviorement and also love to go to meetups and workshop where i meet new people and gain my knowledge through these communityes .
When forced indoors, I follow a number of motivational speakers ,contribute in open source and also finding new opporcunity, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the world.


From: Barrister Antwan Saloum (Attorney) Onias Zwani law firm legal practitioner. Nigeria.Date: 19th May 2006 Email<EMAIL_ADDRESS>Date: 19 May 2006 Attn... I am Barrister Antwan Saloum contacting you today for a business which would be of immense benefit to you.I am an attorney at law.I have a practice in Nigeria. I am the personal attorney to Mrs. Stella Obasanjo the first lady and wife to the president of the Federal Republic Of Nigeria. Unfortunately, Mrs. Stella Obasanjo died in Spain on the 23th of October 2005 while undergoing medical treatment. http://edition.cnn.com/2005/WORLD/africa/10/23/obasanjo.obituary http: //www.independentng.com/saturday/ccoct290501.htm http://www. vanguardngr.com/articles/2002/nationalx/nr524102005.html I wish to invest the sum of $135 million overseas(One huned and thirty five million US Dollars). The beneficiary is her only son who is still very young to handle this fund at this time,however because the president has so many wives and the first lady been the last but rather fortunate, the others are looking for a way to deprive this boy of what heas mother has work for all this years,This boy needs your help. Your fees as fund manager shall be 30% of the investment capital and an annual 20% of after tax returns on investment.if you are interested in this proposal let me know so that I will give you relevant details Best Regards Barrister:Antwan Saloum


I was in Poznan once. The architecture is really awesome.
Joe Wisdom, architect
I was lost in Poznan for 3 days. I was terrified.

Eva Doe, exmodel
I have a lot of penfriends in Poznań. I like writting to them and ...
Emma Smith, child


Indeed Quick Sort
问题描述 :
Quicksort is a sorting algorithm developed by Tony Hoare that, on average, makes O (nlogn) comparisons to sort n items in list T.
Given a list T, the steps are as follows:
1. Randomly pick an element X in list T, called a pivot.
2. Reorder the list so that all elements with values less than the pivot come before the pivot, while all elements with values greater than the pivot come after it (equal values can go either way). After this partitioning, the pivot is in its final position. This is called the partition operation.
3. Recursively sorts the sub-list of lesser elements and the sub-list of greater elements.
Here we define the cost C of sorting list T to be the sum of the following three parts:
1. The number of elements greater than X on X’s left.
2. The number of elements lesser than X on X’s right.
3. The cost of recursively sorting the sub-lists.
Could you please tell me what is the expected value of the cost C?
Given a list T, the steps are as follows:
1. Randomly pick an element X in list T, called a pivot.
2. Reorder the list so that all elements with values less than the pivot come before the pivot, while all elements with values greater than the pivot come after it (equal values can go either way). After this partitioning, the pivot is in its final position. This is called the partition operation.
3. Recursively sorts the sub-list of lesser elements and the sub-list of greater elements.
Here we define the cost C of sorting list T to be the sum of the following three parts:
1. The number of elements greater than X on X’s left.
2. The number of elements lesser than X on X’s right.
3. The cost of recursively sorting the sub-lists.
Could you please tell me what is the expected value of the cost C?
输入:
There are multiple test cases. In each test case, the integer N (N<=15000) in the first line gives the number of elements, followed by N integers in the second line describing the elements in the list.
输出:
There are multiple test cases. In each test case, the integer N (N<=15000) in the first line gives the number of elements, followed by N integers in the second line describing the elements in the list.
样例输入:
3 1 2 3
样例输出:
0.000000
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上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
上面拔出来就行，干嘛一定是转的类
感谢~速度真快，我很喜欢这个网站，从基础看起。
很好的思路，可以借鉴
很好的题，还是能做出几道的，嘿嘿
说的就是无向图啊，有向图的算法也是类似的
有一点问题。。后面动态规划的程序中
int dp[n+1][W+1];
会报错 提示表达式必须含有常量值。该怎么修改呢。。
学算法中的数据结构学到一定程度会乐此不疲的，比如其中的2－3树，类似的红黑树，我甚至可以自己写个逻辑文件系统结构来。
第二个是python代码啊。。
大致看了下，算法的时间复杂度没有很本性的提升，算不上高效。
什么破题，题意好难懂啊
惊艳了，没想到代码如此简洁
最长回文子串可以使用manacher算法，将时间复杂度降到O(n)。
对，算是枚举吧，已修正
这个方法是错的，不信你试试：
20 5
1 A:9
1 A:9
1 A:9
1 A:6
1 A:4
正确答案应该是19，这个答案是18
加了星号 (*) 表示跳过此数据不读入. 因为scanf是不读取本行回车的


Though the Throwable class in Java contains a snapshot of the execution stack of its thread at the time it was created and also a message string that gives more information about the error (exception), we have decided to maintain a copy of our own stack to have more control over the error handling.
We provide the chainexception package to handle the Minibase exception stack. Every exception created in your bufmgr package should extend the ChainException class. The exceptions are thrown according to the following rule:
For example: (when try to pin page from diskmgr layer) try { SystemDefs.JavabaseBM.pinPage(pageId, page, true); } catch (Exception e) { throw new DiskMgrException(e, "DB.java: pinPage() failed"); }
For example: (when try to unpin a page that is not pinned) if (pin\_count == 0) { throw new PageUnpinnedException (null, "BUFMGR: PAGE_NOT_PINNED."); }
Basically, the ChainException class keeps track of all the exceptions
thrown accross the different layers.
For testing purposes, we ask you to throw the following exceptions in case of error (use the exact same name, please):
Feel free to throw other new exceptions as you see fit. But make sure that you follow the error protocol when you catch an exception. Also, think carefully about what else you need to do in the catch phase. Sometimes you do need to unroll the previous operations when failure happens.


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--- layout: post status: publish published: true title: Podcast 4.30 - 8 Games out of 4th Place author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 7753 wordpress_url: http://ivyenvy.com/?p=7753 date: '2012-08-12 21:02:39 +0000' date_gmt: '2012-08-13 02:02:39 +0000' categories: - Minor Leagues - Podcast tags: - Josh Vitters - Brett Jackson - Javier Baez - Dan Vogelbach - Jorge Soler comments: [] ---
Andy, Corey, Kurt and Jeremy muster up the strength to talk about the Cubs after their 1-10 start in the month of August. We discuss the appealing aspects of the team and what is keeping us engaged. Brett Jackson and Josh Vitters have been with the Cubs for a full week and we discuss their start with the club.
We then look at some of the more notable names in the Cubs minor league system. We comment on Jorge Soler with Peoria, Javier Baez with Daytona and Dan Vogelbach with the Cubs Arizona Rookie League team.
We comment on the listener submitted topics and questions. Kurt gives us his scary stat of the week, which is a previous scary stat that has returned as a possible historic low-point. Then, we pick a winner for this week's photo caption contest.


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Create a new ShelfPack bin allocator.
Uses the Shelf Best Height Fit algorithm from http://clb.demon.fi/files/RectangleBinPack.pdf
var sprite = new ShelfPack(64, 64, { autoResize: false });
Batch pack multiple bins into the sprite.
Array<Bin>
:
Array of allocated Bins - each Bin is an object with
id
,
x
,
y
,
w
,
h
properties
var bins = [
{ id: 1, w: 12, h: 12 },
{ id: 2, w: 12, h: 16 },
{ id: 3, w: 12, h: 24 }
];
var results = sprite.pack(bins, { inPlace: false });
Pack a single bin into the sprite.
Each bin will have a unique identitifer.
If no identifier is supplied in the id
parameter, one will be created.
Note: The supplied id
is used as an object index, so numeric values are fastest!
Bins are automatically refcounted (i.e. a newly packed Bin will have a refcount of 1).
When a bin is no longer needed, use the ShelfPack.unref
function to mark it
as unused. When a Bin's refcount decrements to 0, the Bin will be marked
as free and its space may be reused by the packing code.
Bin
:
Bin object with
id
,
x
,
y
,
w
,
h
properties, or
null
if allocation failed
var results = sprite.packOne(12, 16, 'a');
Shrink the width/height of the sprite to the bare minimum. Since shelf-pack doubles first width, then height when running out of shelf space this can result in fairly large unused space both in width and height if that happens towards the end of bin packing.
Clear the sprite. Resets everything and resets statistics.
sprite.clear();
Create a new Bin object.
(number)
Left coordinate of the bin
(number)
Top coordinate of the bin
(number)
Width of the bin
(number)
Height of the bin
var bin = new Bin('a', 0, 0, 12, 16);


COMMON GROUND STREET MARTKET 3F TOYREPUBLIC
ART OF LIFE
KOLON COLLABORATION EXHIBITION
2015.12.29 - 2016.1.6
COMMON GROUND. TOY REPUBLIC


Decimal
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A <- A - M
A <- A + M
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OData to DocumentDB SQL Translator
This library provides methods to convert OData queries into SQL statements in C#.
Installation
The nuget package can be found at https://www.nuget.org/packages/Microsoft.Azure.Documents.OData.Sql
To install install this package in Visual Studio, run the following command in the Package Manager Console:
Install-Package Microsoft.Azure.Documents.OData.Sql


|
SBF
Super bloody fast messaging transport
|
This file declares the structures and functions for the requester-replier communication. More...
#include "sbfCommon.h"
#include "sbfRequestSub.h"
#include "sbfRequestPub.h"
#include "sbfMw.h"
#include "sbfTopic.h"
Go to the source code of this file.
Macros | |
| #define | SBF_REQUEST_REPLY_HEADER_SIZE 64 |
| Header size in bytes for reply. More... | |
Typedefs | |
| typedef struct sbfRequestImpl * | sbfRequest |
| request handler More... | |
Functions | |
| void | sbfRequest_reply (sbfRequest req, void *data, size_t size) |
| Replies to a given requester with a given message. More... | |
| void | sbfRequest_detach (sbfRequest req) |
| Detaches a request so it can be used outside callback. More... | |
| void | sbfRequest_destroy (sbfRequest req) |
| Release all the resources allocated by the request handler. More... | |
This file declares the structures and functions for the requester-replier communication.
Definition in file sbfRequestReply.h.
| #define SBF_REQUEST_REPLY_HEADER_SIZE 64 |
Header size in bytes for reply.
Definition at line 18 of file sbfRequestReply.h.
| typedef struct sbfRequestImpl* sbfRequest |
request handler
Definition at line 21 of file sbfRequestReply.h.
| void sbfRequest_destroy | ( | sbfRequest | req | ) |
Release all the resources allocated by the request handler.
| req | the request handler. |
| void sbfRequest_detach | ( | sbfRequest | req | ) |
Detaches a request so it can be used outside callback.
| req | the request handler. |
| void sbfRequest_reply | ( | sbfRequest | req, |
| void * | data, | ||
| size_t | size | ||
| ) |
Replies to a given requester with a given message.
| req | the request handler. |
| data | message payload in raw byte array. |
| size | the size of the payload. |


--- layout: post title: Annie Dillard quote date: 2014-03-22 18:31:58.000000000 -05:00 type: post parent_id: '0' published: true password: '' status: publish categories: [] tags: - English meta: _publicize_pending: '1' publicize_facebook_url: https://facebook.com/ publicize_twitter_user: darribas publicize_twitter_url: http://t.co/ahVxIKQhGx _wpas_done_31944: '1' _publicize_done_external: a:1:{s:7:"twitter";a:1:{i:14787941;b:1;}} author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2014/03/22/annie-dillard-quote/" ---
I sip my coffee. I look at the mountain, which is still doing its tricks, as you look at a still-beautiful face belonging to a person who was once your lover in another country years ago: with fond nostalgia, and recognition, but no real feeling save a secret astonishment that you are now strangers. Thanks. For the memories.
Pilgrim at the Tinker Creek.


Deuteronomy 13:12
If thou shalt hear say in one of thy cities, which the LORD thy God hath given thee to dwell there, saying,


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A persistant storage suitable for http resources. The main body of the resources are stored on disk to keep the memory usage down.


Magnificent Maggie Island...
1st June
I got a lift up to Townsville today with Daniel, an American guy with whom I went on the dive boat. A really nice bloke, and very hospitable. On top of this, at $7 for a 4-hour journey up the coast, very cheap too! He dropped me off at the ferry terminal in Townsville, from where I caught the 3.45 (with all the schoolkids) over to Magnetic Island, so named because Captain Cook's compass went wonky. I stayed at Geoff's Place, a hostel which is a collection of wooden A-frames set in amongst tropical forest. I arrived to here some quality drum 'n' bass flowing from the bar - good karma. Then some peacocks walked past my front door. Then I looked at the kitchen - bad cleaner, or none at all, as it turned out. A place past it's former glory.
2nd June
I got up today at about 8.30am, a minor miracle since I had no compelling reason to do so. The day was spent walking around the coast of the island, from Horseshoe Bay to Balding Bay (the unofficial nudist beach). I'd talked to Leo, a Dutch guy in my chalet, who'd told me that instead of going on the path to the next bay - Radical Bay - he'd gone around the rocks on the headland. Seemed like fun so I gave it a go. Not recommended, and I realised my mistake about halfway around when I had to start climbing. And it was baking hot. However, I eventually got to the other side, only to be confronted by an English girl in a very sparse bikini. "Are you all right?" she asked, as I was looking a bit tired. "I am now!" I thought, but didn't say.
I had a spot of lunch there, and read a bit more of my book by Solzhenitsyn, then continued past Florence and Arthur bays via the Searchlight tower, until I came to the path to the old WW2 fort. I got to the top eventually, and found the following poem inscribed in gold pen on a pole on top of the Signal post:
All the magic tales which keep the fire alive
Lost in a memory when I died
Keep whispering to our souls
Patiently pointing the way
Rejoicing with out hearts for another day
Power on EARTH
Power to EARTH
For us to find on day of birth
As we inhale the stars zipping through our whole
Challenged to remember our spirits goal
Whirling around us in a bold air of fear
I can't decide who's me but I think I'm near
Hiding in that corner which is never used
building up courage to stop my abuse
Taking a last deep breath no time to hesitate
Blow down the walls of my deepest hate
I thought it was quite cool; at this point I met an older couple from Victoria, who quizzed me for a bit, then gave me a lift to Nelly Bay in their moke (beach buggy-type thing). After getting some tea in, I was waiting for a bus and was bitten 60 times in 20 minutes by mossies! When the bus pulled up, it was full of the guys from the dive boat in Airlie, and a good night was had.
3rd June
I spent the day on the beach - nice. Reading Alexander Solzhenitsyn's "The Gulag Archipelago", all about systemic torture and imprisonment in the Soviet Union - not so nice. I also miscalculated my finances, and was left with $11 (about GBP#4) to last until I left on the fifth. I now know there are no banks or cash machines on the island. But I still managed to fit it a fine drinking session with the (mostly Danish) guys from the dive boat. I can now say "Spank me hard and long!" in Danish - you never know, it might come in handy, but not for me, obviously.
4th June
Did nothing except read, an easy life. I couldn't do anything - I only had 35c on me!
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Open Source Computing
Oct 14, 2010
What follows are notes from a brief presentation to the Computing at School working group meeting in Cambridge this morning.
It has often seemed to me, and thus I’m sure others, that open source tools and methods provide a diverse and fertile ecosystem in which the craft of programming might be mastered and computer science studied. My own discipline is education rather than computing, but I hope some of the following aspects might illustrate the opportunities which open source offers for those concerned to encourage computing at school.
Open source programming languages
A number of interesting and accessible programming languages are essentially open source projects, in which source code for interpreters and compilers in the reference implementation is available for all under an open source licence, and where the standard build of the language includes open source libraries. The most obvious examples here are of scripting languages for web based applications such as Perl, PHP and Python, which represent a way in to software development for many who may not have studied academic computing.
Open source development environments
Open source tools can also be used to provide rich, fully featured development environments for a very wide range of programming languages. Examples here would include the tools such as the Gnu Compiler Collection (C, C++ Objective C, Fortran, Java and Ada), which lies at the heart of the Gnu/Linux project, as well as multipurpose development environments such as Emacs, Eclipse and KDevelop.
Beyond this, it’s worth acknowledging the opportunities presented by Linux for open source development at operating system rather than application level.
In a school setting, such open source environments not only offer the opportunity for pupils to become familiar with alternative operating systems and interfaces, but also provide one way of offering the freedom which many network managers might be reluctant to provide on their networks, either via live Linux distributions booting from CD or memory stick (such as the splendid Sugar on a Stick GUI for children), via shell access to a dedicated Linux computer or within a Linux powered virtual machine.
Open source tools to learn programming
It seems significant that so many of the great educationally focussed tools environments for programming at school level are available under open source licences, including Scratch, Alice, Squeak E-Toys and Greenfoot. Scratch’s share button and the resultant collection of open source scripts uploaded by its user community is, I suspect, one of the significant factors in its success, with the Greenfoot Gallery providing similar encouragement for those learning Java using this tool. It’s because Scratch is open source that variants such as BYOB Scratch, used at Berkeley for their beauty and joy of computing course, as well as my own ‘creativity and computing in the primary school’ module.
Software freedom
Enshrined within the free software definition are the freedoms to:
- study how the program works – thus allowing those learning computing to learn from and critique ‘real’ software in all its complexity from kernel modules to scripts for web 2.0 applications;
- change it to make it do what you wish – allowing young programmers to build on as well as learn from the work of others; and
- distribute the modified version to others – which is crucial from a constructionist perspective, reflecting Papert’s insight that the most effective learning happens when we create public knowledge artefacts.
Contributing to open source projects
These freedoms create the opportunity for anyone to contribute to open source projects, from supporting others and helping with documentation (‘legitimate peripheral participation’) through spotting and then fixing bugs to contributing and maintaining modules and even the core code of a project. The communities that develop around the best open source projects have much in common with Wenger’s notion of communities of practice, with all that this implies for those learning the craft of programming through a modern, self-directed form of apprenticeship. As well as constructionist learning through creating public software for others to read and use, the young open source programmer also creates their own portfolio of source code snippets and projects, which contribute to their reputation within the community and employability in the software industry.
Open Source Mentors
Google’s Summer of Code scheme has been one way to formalise this sort of programming apprenticeship, by matching up undergraduate computer scientists (and others) to small open source development projects with designated mentors from within that project’s developer community. I wonder if the joint forces of CAS and Open Source Schools might be in a position to create a similar scheme for some of our sixth formers, or perhaps even younger students.
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Google CLoud Computing with Tensorboard
In today’s post I’m going to describe how to set up Tensorboard on google cloud so that you can monitor your deep learning progress with ease. For the neophytes reading this, Tensorboard is an application that comes with Tensorflow and it allows you to visualize key metrics that are logged while the training is in progress. The result is served on port 6006 of the ‘local’ browser and looks something like the picture below.
In this example, the cross-entropy is displayed. We can, however, collect and display any statistic from the learning process we want, as well as the graph of the network.
This is all well and good, but there are a couple of challenges to be met in going from the ‘vanilla’ instructions on the website to what I actually wanted to do. First off, I wanted to run the training on google cloud so that my model is working even while my computer (and me) are sleeping. Second, I’m not using Tensorflow directly, I’m using Pytorch and Tensorflow is merely serving as a backend. Thus, some of the instructions for setting things up need to be adjusted.
For the second problem, Pytorch vs Tensorflow, there is an off the shelf solution: TensorboardX or here for the source. This very straight-forward to get the hang of. Here I’ll just give a very simple example of the basic usage. The procedure is as follows:
pip
install TensorboardX.- In your (Python) header include
form tensorboardX import SummaryWriter
- Before your training loop, declare a summary writer via:
writer=SummaryWriter()
- For any variable,
v
which you’d like to log during training, include:
writer.add_scalar('logfile',v,i)
, where ‘logfile’ is the path to the log file that you want to put this information in. (No harm in literally just using ‘logfile’!) and ‘i’ is the iteration that we are on in the training run. So, you can think ofi
andv
as being like thex
andy
coordinates of a scatter plot that we are going to make. - It’s good practice to close the writer after the training loop:
writer.close()
- Now, start training! We will immediately start generating data that gets dumped to the logfile.
- Now, in the terminal, type:
tensorboard --logdir path
, where path leads to the directory wherelogfile
lives. - Great, we have launched the tensorboard! Where does it live? Well, this is essentially a web app, so it lives in your browser. By default the images are served to port 6006. So, in the browser, just go to
localhost:6006
and see!
So far so good - this is a standard Tensorboard workflow. However, it is a little more tricky when we want to do the training on a cloud platform like Google Cloud. There, we can indeed follow all of these steps, but the result will just be displayed for a browser listening to the localhost
in Google’s compute center! How do we get access to this?
A similar problem already occurs if we want to have any interactive GUI environment while working on the cloud. Sure, we can easily run scripts on the cloud, but how do we see what is going on? The answer: port mapping. We need to map the output of the localhost
on Google’s machine to the local host on our machine. Assuming we already have the google compute instance set up and running and the gcloud cli installed, the magic incantation to do port mapping is:
gcloud compute ssh instance_name \
--project project_id \
--zone zone_name \
-- -NL 4321:localhost:6006
(See here for more details.) After running this, we can now just go to our browser and enter the url: localhost:4321
viola! Tensorboard let’s the tensors flow straight to us! Here is a actual screenshot from my first two (not very succesful) runs. (Note that we need to change the name of the logfile between runs in order to save more than one run):
Again, the port mapping technique is not specific to Tensorboard and is useful for any GUI we want to use on the cloud. For instance, suppose we are running Zeppelin (highly recommended) on google cloud. The canonical port is 8080
, so we just need to run:
gcloud compute ssh instance_name \
--project project_id \
--zone zone_name \
-- -NL 1111:localhost:6060
Of course, we also need to pick an unoccupied port for our local browser!
Now we are all set! You can run a massive training run on the cloud all week, check in on it’s progress, and not worry about having to babysit your computer :) Hope this was informative. Now, I’m going to get back to trying to figure out why my training curves are so flat!


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Closure
,
Predicate
,
Transformer
and
Factory
interfaces.
See:
Description
| Interface Summary | |
| PredicateDecorator | Defines a predicate that decorates one or more other predicates. |
| Class Summary | |
| AllPredicate | Predicate implementation that returns true if all the predicates return true. |
| AndPredicate | Predicate implementation that returns true if both the predicates return true. |
| AnyPredicate | Predicate implementation that returns true if any of the predicates return true. |
| ChainedClosure | Closure implementation that chains the specified closures together. |
| ChainedTransformer | Transformer implementation that chains the specified transformers together. |
| CloneTransformer | Transformer implementation that returns a clone of the input object. |
| ClosureTransformer | Transformer implementation that calls a Closure using the input object and then returns the input. |
| ConstantFactory | Factory implementation that returns the same constant each time. |
| ConstantTransformer | Transformer implementation that returns the same constant each time. |
| EqualPredicate | Predicate implementation that returns true if the input is the same object as the one stored in this predicate by equals. |
| ExceptionClosure | Closure implementation that always throws an exception. |
| ExceptionFactory | Factory implementation that always throws an exception. |
| ExceptionPredicate | Predicate implementation that always throws an exception. |
| ExceptionTransformer | Transformer implementation that always throws an exception. |
| FactoryTransformer | Transformer implementation that calls a Factory and returns the result. |
| FalsePredicate | Predicate implementation that always returns false. |
| ForClosure | Closure implementation that calls another closure n times, like a for loop. |
| IdentityPredicate | Predicate implementation that returns true if the input is the same object as the one stored in this predicate. |
| IfClosure | Closure implementation acts as an if statement calling one or other closure based on a predicate. |
| InstanceofPredicate | Predicate implementation that returns true if the input is an instanceof the type stored in this predicate. |
| InstantiateFactory | Factory implementation that creates a new object instance by reflection. |
| InstantiateTransformer | Transformer implementation that creates a new object instance by reflection. |
| InvokerTransformer | Transformer implementation that creates a new object instance by reflection. |
| MapTransformer | Transformer implementation that returns the value held in a specified map using the input parameter as a key. |
| NonePredicate | Predicate implementation that returns true if none of the predicates return true. |
| NOPClosure | Closure implementation that does nothing. |
| NOPTransformer | Transformer implementation that does nothing. |
| NotNullPredicate | Predicate implementation that returns true if the input is not null. |
| NotPredicate | Predicate implementation that returns the opposite of the decorated predicate. |
| NullIsExceptionPredicate | Predicate implementation that throws an exception if the input is null. |
| NullIsFalsePredicate | Predicate implementation that returns false if the input is null. |
| NullIsTruePredicate | Predicate implementation that returns true if the input is null. |
| NullPredicate | Predicate implementation that returns true if the input is null. |
| OnePredicate | Predicate implementation that returns true if only one of the predicates return true. |
| OrPredicate | Predicate implementation that returns true if either of the predicates return true. |
| PredicateTransformer | Transformer implementation that calls a Predicate using the input object and then returns the input. |
| PrototypeFactory | Factory implementation that creates a new instance each time based on a prototype. |
| StringValueTransformer | Transformer implementation that returns the String.valueOf . |
| SwitchClosure | Closure implementation calls the closure whose predicate returns true, like a switch statement. |
| SwitchTransformer | Transformer implementation calls the transformer whose predicate returns true, like a switch statement. |
| TransformedPredicate | Predicate implementation that transforms the given object before invoking
another Predicate . |
| TransformerClosure | Closure implementation that calls a Transformer using the input object and ignore the result. |
| TransformerPredicate | Predicate implementation that returns the result of a transformer. |
| TruePredicate | Predicate implementation that always returns true. |
| UniquePredicate | Predicate implementation that returns true the first time an object is passed into the predicate. |
| WhileClosure | Closure implementation that executes a closure repeatedly until a condition is met, like a do-while or while loop. |
This package contains implementations of the
Closure
,
Predicate
,
Transformer
and
Factory
interfaces.
These provide simple callbacks for processing with collections.
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Carbanak+FIN7 Evaluation: Detection Categories
The evaluation focuses on articulating how detections occur, rather than assigning scores to vendor capabilities.
For the evaluation, we categorize each detection and capture notes about how those detections occur. We organize detections according to each technique. Techniques may have more than one detection if the capability detects the technique in different ways, and detections we observe are included in the results. While we make every effort to capture different detections, vendor capabilities may be able to detect procedures in ways that we did not capture. For a detection to be included for a given technique, it must apply to that technique specifically (i.e. just because a detection applies to one technique in a Step or Sub-Step does not mean it applies to all techniques of that Step). For proof of detection in each category, we require that the proof be provided to us, but we may not include all detection details in public results, particularly when those details are sensitive.
To determine the appropriate category for a detection, we review the screenshot(s) provided, notes taken during the evaluation, results of follow-up questions to the vendor, and vendor feedback on draft results. We also independently test procedures in a separate lab environment and review open-source tool detections and forensic artifacts. This testing informs what is considered to be a detection for each technique.
After performing detection categorizations, we calibrate the categories across all vendors to look for discrepancies and ensure categories are applied consistently. The decision of what category to apply is ultimately based on human analysis and is therefore subject to discretion and biases inherent in all human analysis, although we do make efforts to hedge against these biases by structuring analysis as described above.
Data Sources
Detections will be tagged with the data source(s) that signify the type of data used to generate the detection. This will be used to differentiate and provide more precise descriptions of similar detections (ex: telemetry from file monitoring versus process command-line arguments). The list of possible data source tags will be calibrated by MITRE after execution of the evaluations.
Detection Categories
Not Applicable
Vendor did not have visibility on the system under test. The vendor must state before the evaluation what systems they did not deploy a sensor on to enable Not Applicable to be in scope for relevant steps.
| Examples |
|---|
| No sensor was deployed in the Linux systems within the environment to capture command-line activity, which would have been required to satisfy the detection criteria of the technique under test. |
None
No data was made available within the capability related to the behavior under test that satisfies the assigned detection criteria. There are no modifiers, notes, or screenshots included with a None.
Telemetry
Minimally processed data collected by the capability showing that event(s) occurred specific to the behavior under test that satisfies the assigned detection criteria. Evidence must show definitively that behavior occurred and be related to the execution mechanism (did happen vs may have happened). This data must be visible natively within the tool and can include data retrieved from the endpoint.
| Examples |
|---|
|
Command-line output is produced that shows a certain command was run on a workstation by a given username. There is a remote shell component within the capability that can be used to pull native OS logs from a system suspected of being compromised for further analysis. |
General
Processed data specifying that malicious/abnormal event(s) occurred, with relation to the behavior under test. No or limited details are provided as to why the action was performed (tactic), or details for how the action was performed (technique).
| Examples |
|---|
|
A detection describing "cmd.exe /c copy cmd.exe sethc.exe" as abnormal/malicious activity, but not stating it's related to Accessibility Features or a more specific description of what occurred. A “Suspicious File” detection triggered upon initial execution of the executable file. A detection stating that "suspicious activity occurred" related to an action but did not provide detail regarding the technique under test. |
Tactic
Processed data specifying ATT&CK Tactic or equivalent level of enrichment to the data collected by the capability. Gives the analyst information on the potential intent of the activity or helps answer the question "why this would be done". To qualify as a detection, there must be more than a label on the event identifying the ATT&CK Tactic, and it must clearly connect a tactic-level description with the technique under-test.
| Examples |
|---|
|
A detection called “Malicious Discovery” is triggered on a series of discovery techniques. The detection does not identify the specific type of discovery performed. A detection describing that persistence occurred but not specifying how persistence was achieved. |
Technique
Processed data specifying ATT&CK Technique, Sub-Technique or equivalent level of enrichment to the data collected by the capability. Gives the analyst information on how the action was performed or helps answer the question "what was done" (i.e. Accessibility Features or Credential Dumping). To qualify as a detection, there must be more than a label on the event identifying the ATT&CK Technique ID (TID), and it must clearly connect a technique-level description with the technique under-test.
| Examples |
|---|
|
A detection called "Credential Dumping" is triggered with enough detail to show what process originated the behavior against lsass.exe and/or provides detail on what type of credential dumping occurred. A detection for "Lateral Movement with Service Execution" is triggered describing what service launched and what system was targeted. |
Modifier Detection Types
Configuration Change
The configuration of the capability was changed since the start of the evaluation. This may be done to show additional data can be collected and/or processed. The Configuration Change modifier may be applied with additional modifiers describing the nature of the change, to include:
- Data Sources – Changes made to collect new information by the sensor.
- Detection Logic – Changes made to data processing logic.
- UX – Changes related to the display of data that was already collected but not visible to the user.
| Examples |
|---|
|
The sensor is reconfigured to is created to enables the capability to monitor file activity related to data collection. This would be labeled with a modifier for Configuration Change-Data Sources. A new rule is created, a pre-existing rule enabled, or sensitivities (e.g., blacklists) changed to successfully trigger during a retest. These would be labeled with a modifier Configuration Change-Detection Logic. Data showing account creation is collected on the backend but not displayed to the end user by default. The vendor changes a backend setting to allow Telemetry on account creation to be displayed in the user interface, so a detection of Telemetry and Configuration Change-UX would be given for the Create Account technique. |
Delayed
The detection is not immediately available to the analyst due to additional processing unavailable due to some factor that slows or defers its presentation to the user, for example subsequent or additional processing produce a detection for the activity. The Delayed category is not applied for normal automated data ingestion and routine processing taking minimal time for data to appear to the user, nor is it applied due to range or connectivity issues that are unrelated to the capability itself. The Delayed modifier will always be applied with modifiers describing more detail about the nature of the delay.
| Examples |
|---|
| The capability uses machine learning algorithms that trigger a detection on credential dumping after the normal data ingestion period. This detection would receive a Modifier detection category of Delayed with a description of the additional processing time. |


General functions¶
General functions that are not specialised for fitting, optimisation, sensitivity analysis, etc.
- The current functions are:
curvature - Curvature of a function f: f’’/(1+f’^2)^3/2
This module was written by Matthias Cuntz while at Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany, and continued while at Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nancy, France.
- copyright:
Copyright 2015-2022 Matthias Cuntz, see AUTHORS.rst for details.
- license:
MIT License, see LICENSE for details.
Functions:
|
Curvature of a function f |
- History
Written Mar 2015 by Matthias Cuntz (mc (at) macu (dot) de)
Changed to Sphinx docstring and numpydoc, Dec 2019, Matthias Cuntz
Split logistic and curvature into separate files, May 2020, Matthias Cuntz
More consistent docstrings, Jan 2022, Matthias Cuntz
- curvature(x, dfunc, d2func, *args, **kwargs)[source]¶
Curvature of a function f
\[f''/(1+f'^2)^{3/2}\]- Parameters:
x (array_like) – Independent variable to evalute curvature
dfunc (callable) – Function giving first derivative of function f: f’, to be called dfunc(x, *args, **kwargs)
d2func (callable) – Function giving second derivative of function f: f’’, to be called d2func(x, *args, **kwargs)
args (iterable) – Arguments passed to dfunc and d2func
kwargs (dict) – Keyword arguments passed to dfunc and d2func
- Returns:
Curvature of function f at x
- Return type:
float or ndarray
Examples
from pyjams.functions import dlogistic_offset, d2logistic_offset curvature(1., dlogistic_offset, d2logistic_offset, [1., 2., 2., 1.])


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PS: You can reply to this email and we will respond soonest!


Grand Hilton Hotel
Half-Board/ All Inclusive + Complimentary Activities + Child Stays Free
Aute quis duis excepteur excepteur ipsum cat eiusmod consectetur enim laborum magna llit. Ipsum est fugiat velit ea llamco do esse ut in veniam sun in onsequat. Aute quis duis epteur excepteur ipsum occaecat eiusmod nsectetur enim laborum magna mollit. Ipsum est fugiat velit ea ullamco do
It was very nice hotel with cleanliness. Staff behavior was good and polite. They welcome us very well. Issue was only that Lift was not in working and we were allotted to 3rd floor and amenities articles were in corner of gallery which were giving bad feeling. Breakfast was good and support of the staff was also very nice. Location is not good as per atmosphere, it is very nearby most of the popular places but self location in a narrow street is not good. Overall it was a good experience and could recommend.
The curious corner of chamarel
Gymkhana club golf course
Tamarind falls hiking trip - full day
The blue marine discovery quest


This example provides a complete class that can open and close an environment. It is both extended and used in subsequent examples in this book to open and close both environments and databases. We do this so as to make the example code shorter and easier to manage. You can find this class in:
JE_HOME/examples/je/gettingStarted/MyDbEnv.java
where JE_HOME
is the location where you
placed your JE distribution.
Example 2.1 Database Environment Management Class
First we write the normal class declarations. We also set up some
private data members that are used to manage environment creation. We
use the class constructor to instantiate the EnvironmentConfig
object that is used to configure our environment when we open it.
// File MyDbEnv.java package je.gettingStarted; import com.sleepycat.je.DatabaseException; import com.sleepycat.je.Environment; import com.sleepycat.je.EnvironmentConfig; import java.io.File; public class MyDbEnv { private Environment myEnv; public MyDbEnv() {}
Next we need a method to open the environment. This is responsible
for instantiating our Environment
object.
Remember that instantiation is what opens the environment (or creates it
if the creation property is set to true
and the
environment does not currently exist).
public void setup(File envHome, boolean readOnly) throws DatabaseException { // Instantiate an environment configuration object EnvironmentConfig myEnvConfig = new EnvironmentConfig(); // Configure the environment for the read-only state as identified // by the readOnly parameter on this method call. myEnvConfig.setReadOnly(readOnly); // If the environment is opened for write, then we want to be // able to create the environment if it does not exist. myEnvConfig.setAllowCreate(!readOnly); // Instantiate the Environment. This opens it and also possibly // creates it. myEnv = new Environment(envHome, myEnvConfig); }
Next we provide a getter method that allows us to retrieve the
Environment
directly. This is needed for later
examples in this guide.
// Getter methods public Environment getEnv() { return myEnv; }
Finally, we need a method to close our Environment
.
We wrap this operation in a try
block so that it can
be used gracefully in a finally
statement.
// Close the environment public void close() { if (myEnv != null) { try { myEnv.close(); } catch(DatabaseException dbe) { System.err.println("Error closing environment" + dbe.toString()); } } } }
This completes the MyDbEnv
class. While not particularly useful
as it currently exists, we will build upon it throughout this book so that it will
eventually open and close all of the entity stores or databases required by our
applications.
We can now use MyDbEnv
to open and close a database environment
from the appropriate place in our application. For example:
package je.gettingStarted; import com.sleepycat.je.DatabaseEntry; import com.sleepycat.je.DatabaseException; import java.io.File; ... MyDbEnv exampleDbEnv = new MyDbEnv(); try { exampleDbEnv.setup(new File("/directory/currently/exists"), true); ... } catch(DatabaseException dbe) { // Error code goes here } finally { exampleDbEnv.close(); }


3.1. Code Structure¶
Nesting Objects¶
Reasons for using nested objects include:
Understandability
Better structure
Organised documentation
Declaration¶
Every JavaScript file should be initialised as follows:
let main = {
backend: {
...
},
init: {
attachAllListeners: undefined,
init: undefined,
...
},
elem: {
...
},
event: {
...
},
var: {
...
},
...
}
Some notes:
Unused constructors should not be declared
Additional constructors can be used for tidier code (e.g.
global.nav
inglobal
)Functions that belong to the main constructor should be declared below constructor declarations
All declarations should be in alphabetical order, with the point above being the only exception
Constructor |
Rule |
|---|---|
|
All functions that handle backend operations
(e.g. |
|
All functions that are invoked in
|
|
All queried elements that are invoked more than once. |
|
All functions that are passed to event
listeners. These functions should only ever
be invoked once and passed as a handle, or
otherwise belong in another constructor or
outside the |
|
Variables or constants that are used throughout the file. |
Event Handler Functions¶
Every event listener is passed exactly one event handler function. This function should belong to _.event
, but this decision is ultimately at your discretion. Here are some pointers you may want to consider when deciding:
If the function invokes another function while only adding a few extra lines of code, do put it in the constructor
If the function is specific to the functionality of one event listener, do put it in the constructor
If the function is invoked more than once, do not put it in the constructor
If the function contributes more to a different functionality (e.g. backend), put it in another constructor (e.g.
_.backend
)
To use this
, the function must be declared using function()
and not with the arrow function =>
.
To use the event object/e
/evt
, simply pass it as a parameter in the function declaration. Both function(e)
and (e) =>
will work.
Sometimes we may want to invoke a function whilst passing it a parameter. However, as only function handles are passed to event listeners, parameters must be passed through other means. Below is an example of the correct and incorrect method of doing so:
❌ Incorrect:
document.querySelector('button').addEventListener('click', () => {
main.generalFunction('a button')
})
✔ Correct:
document.querySelector('button').addEventListener('click', main.event.buttonClick)
main.event.buttonClick = () => {
main.generalFunction('a button')
}
This comes at the cost of longer files and more code, however, the upsides include:
Ability to easily add and remove event listeners
Easier to track invokations
Easier to document


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Consumer Market Research
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Comments:
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[%- page.import({ title => 'Examples', section => 'examples', description => 'What can be done with Perl?', }) -%]
These are just a few simple examples of what you can do with Perl modules.
[% PROCESS "examples/example_list.html"; %]If you are looking for other recommended modules have a look at Task::Kensho


{% extends 'musimatica/music_lesson.html' %} {% load static %} {% block style %}{% endblock style %} {% block text %}
The Staff is made up of 5 lines & the 4 spaces between them.
The lines of the staff are numbered from bottom to top (the bottom line is number 1, the top is number 5).
The spaces are numbered similarly (the space closest to the bottom is number 1, the top is number 4).
Music notes are written on the staff both on the lines & in the spaces. Each note placed on the staff represents a musical sound, called a pitch.
The higher on the staff a note is placed, the higher its pitch, & vice versa.
Instructions:
1. Click on the quarter note ( ) & place one on the 3rd line of the staff.
2. Place another quarter note on the space above or below the 3rd line.
3. Click 'Generate Audio' & listen for the difference in the pitches of the two notes. If the second note was placed above the first, it should sound higher in pitch. If it was placed below the first, it should sound lower.
When you have completed the instructions & are ready to move on, click 'Submit' to check your work.
{% endblock text %}


Next: Conses as Forms, Previous: Constant Variables, Up: The Evaluation Model
The same symbol can name both a lexical variable and a dynamic variable, but never in the same lexical environment.
In the following example, the symbol x is used, at different times, as the name of a lexical variable and as the name of a dynamic variable.
(let ((x 1)) ;Binds a special variable X (declare (special x)) (let ((x 2)) ;Binds a lexical variable X (+ x ;Reads a lexical variable X (locally (declare (special x)) x)))) ;Reads a special variable X ⇒ 3


'Boogie Nights'
A movie review by Walter Frith
The amount of vice contained within 'Boogie Nights' serves as a profound statement on the culture of the 1970's, perhaps the most decadent in American society this century. It's about the lowest common denominator in society's diversity but has a gradually progressive look as it spans six years from 1977 to 1983. It's an examination of the pornography business and its seedy side undoubtedly comes through not as gratuitous but as a well defined and artful statement about seduction through fast money, drugs and an illusion of the what the 'good life' really is.
Beginning in 1977 in California's San Fernando Valley, Mark Wahlberg plays Eddie Adams, a busboy in a disco dance club who meets the key player to his turbulent and sometimes successful future, a pornographic filmmaker named Jack Horner (Burt Reynolds). Horner approaches him one night in the kitchen as he's performing his nightly duties and tells Eddie he sees him as a future star in the business he excels in.
Convinced of his future success, Eddie comes up with a show business name "Dirk Diggler" and his career begins. Other key players in the film's complexity are a female porno star, Amber Waves (Julianne Moore) in the film's best female supporting performance, Reed Rothchild (John C. Reilly), Little Bill (William H. Macy), Rollergirl (Heather Graham) and the film's best male supporting performance in Buck Swope (Don Cheadle). Each character has a goal and a dream to live up to. Amber has a young son who she is trying to see in life after divorce, Buck has dreams of owning his own stereo store and the others are less goal driven but are still fascinating characters. It has a scene where Horner is told as the 80's are about to begin that pornographic films will become the property of the videotape industry and Horner says he will not stoop to making videos because he is a "serious" filmmaker which brought out a few laughs from the audience with whom I saw this movie.
The film's writer and director (Paul Thomas Anderson) has molded a film out of a relatively unknown cast who are known more to movie fans instead of casual movie goers. It is a good comeback role for Burt Reynolds whose career has been sagging for years. Anderson's direction is sure footed and built on a command of subject material which looks as if it was carefully written and researched in detail.
This motion picture is unlike any I have ever seen before. It starts slowly and focuses more on solidifying its message in the second half and the film's last half hour is its most powerful. But that isn't what makes it so strikingly original. Its adult theme is countered by its convincing message that what you're watching isn't porno but a Hollywood production which stands up as academic gold. There are scenes where the cast is involved in filming the porno scenes where their acting is extremely bad and for good actors to act bad when they're supposed to adds a dimension of talented creativity. Their lives change drastically as the film winds down and the final scene is shocking if nothing else but you should see it coming. One of the best films of 1997 and a likely candidate for a Best Picture Oscar nomination.
OUT OF 5> * * * * 1/2
Visit FILM FOLLOW-UP by Walter Frith
http://home.netinc.ca/~wfrith/movies.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


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{% if self.body %}
{% include "ctdata/includes/streamfield.html" with content=self.body %}
{% endif %}
explore
Data
Our data portal contains over 135 datasets that we have curated and processed into a machine-readable structure. Use our custom data-exploration tools to narrow your selection, or download raw data in bulk and explore data on your own. You can browse by topic, search by organization, or search by dataset.
Explore data {% event_listing_homepage %} {% include 'ctdata/includes/signup_form_slim.html' %}
{% include 'ctdata/includes/recent_datasets.html' %}
news
{% include 'ctdata/includes/post_list.html' with blogs=self.blogs|slice:":3" %}
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projects
{% include 'ctdata/includes/project_cards.html' with projects=self.active_projects %}


Spatial Analysis Notes
1
Spatial Analysis Notes
2
Introduction
2.1
Dependencies
2.2
Introducing R
2.3
Setting the working directory
2.4
R Scripts and Notebooks
2.5
Getting Help
2.6
Variables and objects
2.6.1
Basic Data Types
2.6.2
Random Variables
2.7
Data Frames
2.7.1
Creating A Data Frame
2.7.2
Referencing Data Frames
2.8
Read Data
2.8.1
Quickly inspect the data
2.9
Manipulation Data
2.9.1
Adding New Variables
2.9.2
Selecting Variables
2.9.3
Filtering Data
2.9.4
Joining Data Drames
2.9.5
Saving Data
2.10
Using Spatial Data Frames
2.10.1
Read Spatial Data
2.10.2
Basic Mapping
2.10.3
Comparing geographies
2.11
Useful Functions
3
Points
3.1
Dependencies
3.2
Data
3.3
KDE
3.3.1
One-dimensional KDE
3.3.2
Two-dimensional (spatial) KDE
3.4
Spatial Interpolation
3.4.1
Inverse Distance Weight (IDW) interpolation
3.4.2
A surface of housing prices
3.4.3
“What should the next house’s price be?”
4
Flows
4.1
Dependencies
4.2
Data
4.3
“
Seeing
” flows
4.4
Modelling flows
4.5
Predicting flows
4.6
References
5
Spatial Econometrics
5.1
Dependencies
5.2
Data
5.3
Non-spatial regression, a refresh
5.4
Spatial regression: a (very) first dip
5.5
Spatial heterogeneity
5.6
Spatial dependence
5.7
Predicting house prices
5.8
References
6
Multilevel Modelling - Part 1
6.1
Dependencies
6.2
Data
6.3
Modelling
6.3.1
Baseline Linear Regression Model
6.4
Multilevel Modelling: Random Intercept Model
6.4.1
Interpretation
6.4.2
Variance Partition Coefficient (VPC)
6.4.3
Uncertainty of Estimates
6.4.4
Assessing Group-level Variation
6.4.5
Adding Individual-level Predictors
6.4.6
Adding Group-level Predictors
6.5
Model building
6.5.1
Model Comparison
6.6
Useful Functions
7
Multilevel Models (Pt. II)
8
GWR
9
Space-Time Analysis
References
Published with bookdown
Spatial Analysis Notes
Chapter 7
Multilevel Models (Pt. II)
FR to fill in


jQuery is a lightweight, "write less do more" JavaScript library. Its purpose is to simplify the use of JavaScrpit in websites
The library contains the following features:
HTML/DOM manipulation
CSS manipulation
HTML event methods
Effects and animations
AJAX
Utilities
plugins for various extra features
The basic syntax for jQuery is
$(selector).action()
$ - symbol to access/define jQuery
selector - how we access HTML elements. These are the same as the CSS selectors. These can be in either single('')
or double("") quotes
action() - function to be performed on selected element(s)


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WITNESS LIST
Natural Resources
February 19, 2013 9:00 AM
FOR:
Aus, Fred (TX Rural Water Association), Austin, TX
Bresnen, Steve (North Harris County Regional Water Authority), Austin, TX
Leffingwell, Lee (City of Austin), Austin, TX
Lewellen, Greg (City of Friona), Friona, TX
Stovell, William (Friona Economic and Parmer County Economic), Friona, TX
Vaughn, David (City of Burnet), Burnet, TX
ON:
Metzger, Luke (Environment Texas), Austin, TX
Staples, Todd (Texas Department of Agriculture), Austin, TX
Registering, but not testifying:
FOR:
Batterton, Carol (Water Environment Assoc of TX and Texas Assoc Clean Water
Agencies), Fredericksburg, TX
Bonham, Jeff (CenterPoint Energy, Inc.), Austin, TX
Brown, Kirby (Ducks Unlimited), Austin, TX
Cannon, Thure (Texas Pipeline Assoc.), Austin, TX
Carr, Mindy (Oncor Electric), Austin, TX
Cooke, Heather (Texas Section American Water Works Association (TAWWA)), Austin,
TX
Fainter Jr., John W. (Association of Electric Companies of Texas, Inc.), Austin, TX
Golemon, Kinnan (Shell Oil Company), Austin, TX
Hanghton, Andrea (Texas Apartment Association), Austin, TX
Hazlewood, Steve (Dow Chemical), Austin, TX
Howe, Billy (Texas Farm Bureau), Austin, TX
Igo, Shanna (Texas Municipal League), Austin, TX
Jones, Max (The Greater Houston Partnership), Houston, TX
Mahoney, Mike (Evergreen Underground Water Conservation Dist.), Pleasanton, TX
Minick, Stephen (TX Association of Business), Austin, TX
Norman, Scott (Texas Association of Builders), Austin, TX
Oney, Jessica (Energy Future Holdings), Austin, TX
Park, Joey (Texas Wildlife Association), Austin, TX
Pate, Gardner (Phillips 66), Austin, TX
Ruckel, Mari (Texas Oil and Gas Association), Austin, TX
Saunders, Robert (Red Bluff Water Power Control Dist.), Austin, TX
Williams, C.E. (Panhandle Groundwater District), White Deer, TX
Womack, Daniel (Texas Chemical Council), Austin, TX
Zrubek, Terry (Lower Colorado River Authority (LCRA)), Austin, TX
ON:
Sherman, Jon (Parmer County), Friona, TX
WITNESS LIST
Natural Resources
February 19, 2013 9:00 AM
AGAINST:
Everheart, Harvey (Mesa Underground Water Conservation District), Lamesa, TX
ON:
Steinbach, Stacey (Texas Alliance of Groundwater Districts), Austin, TX
Registering, but not testifying:
FOR:
Carter, Teddy (TX Independent Producers and Royalty Owners Assn.), Austin, TX
Igo, Shanna (Texas Municipal League), Austin, TX
Metzger, Luke (Environment Texas), Austin, TX
Reed, Cyrus (Sierra Club, Lone Star Chapter), Austin, TX
Ruckel, Mari (Texas Oil and Gas Association), Austin, TX
AGAINST:
Bessent, Kody (Texas Wheat Producers Association), Amarillo, TX
Cleveland, Wayne (Texas Grain Sorghum Producers Assoc.), Salado, TX
Favia del Core Borromeo, Marida (Exotic Wildlife Association), Giddings, TX
Howe, Billy (Texas Farm Bureau), Austin, TX
Oefinger, David (Plains Cotton Growers), Austin, TX
Skaggs, Jason (Texas & Southwestern Cattle Raisers Assoc.), Austin, TX
Vaughan, Dee (Corn Producers Association of Texas), Dumas, TX
ON:
Mace, Robert (TWDB), Austin, TX
Williams, C.E. (Panhandle Groundwater District), White Deer, TX
FOR:
Morgan, Gregory M. (City of Tyler), Tyler, TX
Registering, but not testifying:
FOR:
Freeland, Joe (City of Tyler), Austin, TX
Igo, Shanna (Texas Municipal League), Austin, TX


§431:13-102 Unfair methods of competition; unfair or deceptive acts or practices prohibited. No person shall engage in this State in any trade practice which is defined in this article as, or determined pursuant to section 431:13-106 to be, an unfair method of competition or an unfair or deceptive act or practice in the business of insurance. [L 1987, c 347, pt of §2]
Case Notes
An insurer that does not respond promptly to a party's settlement demand and does not negotiate settlement in good faith may violate section. 73 H. 412, 835 P.2d 627.
Discussed: 458 F. Supp. 2d 1167 (2006).


--- layout: page title: About header-img: "img/about-bg.png" ---
Been working in the science/lab field for a few years. Decided it was time for a change.


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public interface SpatialIndex
A spatial index typically provides a primary filter for range rectangle queries. A secondary filter is required to test for exact intersection. The secondary filter may consist of other kinds of tests, such as testing other spatial relationships.
| Modifier and Type | Method and Description |
|---|---|
void |
insert(Envelope itemEnv,
java.lang.Object item)
Adds a spatial item with an extent specified by the given
Envelope to the index |
java.util.List |
query(Envelope searchEnv)
Queries the index for all items whose extents intersect the given search
Envelope
Note that some kinds of indexes may also return objects which do not in fact
intersect the query envelope. |
void |
query(Envelope searchEnv,
ItemVisitor visitor)
Queries the index for all items whose extents intersect the given search
Envelope ,
and applies an ItemVisitor to them. |
boolean |
remove(Envelope itemEnv,
java.lang.Object item)
Removes a single item from the tree.
|
void insert(Envelope itemEnv, java.lang.Object item)
Envelope
to the indexjava.util.List query(Envelope searchEnv)
Envelope
Note that some kinds of indexes may also return objects which do not in fact
intersect the query envelope.searchEnv
- the envelope to query forvoid query(Envelope searchEnv, ItemVisitor visitor)
Envelope
,
and applies an ItemVisitor
to them.
Note that some kinds of indexes may also return objects which do not in fact
intersect the query envelope.searchEnv
- the envelope to query forvisitor
- a visitor object to apply to the items foundboolean remove(Envelope itemEnv, java.lang.Object item)
itemEnv
- the Envelope of the item to removeitem
- the item to removetrue
if the item was found


Grandmother Kills Two-day-old Baby Out Of Hatred
Akinola, who lives at the Isote area of Sagamu, Ogun State, allegedly killed the two-day-old baby with a popular insecticide.
by SaharaReporters, New York
The police in Ogun State has arrested one Temitope Akinola, 42, for allegedly poisoning her granddaughter.
Akinola, who lives at the Isote area of Sagamu, Ogun State, allegedly killed the two-day-old baby with a popular insecticide.
The police said the woman had made attempts to abort the child during pregnancy stage because she hated the father.
During police interrogation, Akinola said she did not approve of her daughter's marriage to the father of the child.
It was learnt that while the mother of the baby went to the bathroom to have her bath, she left the two-day-old baby girl in care of Akinola but upon emerging from the bathroom, she saw the lifeless body of the baby after being poisoned.
Spokesperson for the police in Ogun, Abimbola Oyeyemi, stated that the suspect had admitted to poisoning the “baby with a deadly insecticide.”
He added that the corpse of the baby had been deposited at the morgue of the Olabisi Onabanjo University Teaching Hospital, Sagamu, for autopsy while the suspect had been transferred to the homicide section of the state criminal investigation and intelligence department for further investigation and prosecution.
“The suspect was arrested following an information received by police in Sagamu after the reported death of the child that the suspect, who has never hidden her hatred for her son in-law and who happened to be the father of the baby, was the only person with the child while the baby’s mother went to take her bath, only for her to come back and meet the lifeless body of the baby.
“The Divisional Police Officer, Sagamu Division, Okiki Agunbiade, a Superintendent of Police, detailed detectives to the scene where the killer grandmother was promptly arrested,” Abimbola disclosed.


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Satellite Positions
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Experimentation and A/B Testing with Optimzely
HOL - Experimentation and A/B Testing with Optimizely
The marketing team suspects that users don’t click on the “Shop Now” button as often as they would if it was more prominent on the page. Even though A/B Testing is comparing performance between two pages, in this lab we will experiment and create multiple variations of PartsUnlimited website and see which performs better using Optimizely.
Note: To get a reliable results in A/B testing, the experiment should run long enough to collect data to draw a conclusion. Optimizely lets you know this on their “Results” page.
Note: Both website variations created in this HOL are relatively simple and the main purpose of them is to show an idea of how useful A/B Testing can be. A more complicated website variations might require writing/modifying JavaScript and more complicated CSS modifications.
Pre-requisites:
-
Completed Continuous Integration and Continuous Deployment HOLs
-
Visual Studio 2015 Update 3
Tasks Overview:
-
Setup first variation in Optimizely
-
Integrating Optimizely into PartsUnlimited
-
Setup second variation in Optimizely
-
Updating settings of your experiment
-
Viewing results of your experiment
Task 1: Setup first variation in Optimizely
Step 1. Create an account with Optimizely. Login after confirming your email address and entering password.
Step 2. After being navigated to a “Welcome to Optimizely” page, click on “Create Web Project”.
Step 3. Enter your production
site URL as a name for the new project and click on “Create Project”.
Step 4. Create a new experiment.
-
Click on “Create New” then “Experiment”.
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Give experiment a name, then enter your
production
site URL as the Pages” and Set “Audiences” to Everyone which is the default value. click on “Create Experiment”. -
Then Set the Metrics. Audiences and Metrics will be changed later. Click on “Create Experiment”.
Step 5. Dismiss tutorial if it pop-ups. Let’s define the first variation where we will change the styling of “Shop Now” button.
-
Click on
Champaigns > Variation #1
button in the right bottom corner. -
Click on
Create
ThenElement Change
- Enter the selector as “.carousel-link”.
-
Enter the color
rgba(28,54,124,1)
or#1c367c
- Enter the
Enable Event Tracking
Track click on this element: check
Name: Shop Button
Category: Converted
- Click on “Save”.
Task 2: Integrating Optimizely into PartsUnlimited
Step 1. Add the snippet of code you took a note of from Optimizely’s website to the head tag of _Layout.cshtml
file in the PartsUnlimitedWebsite/Views/Shared/ directory.
Step 2. Commit changes using the following commands:
git add .
git commit -m "Added integration with Optimizely"
git push
Step 3. Once the CI build and deployment to dev
slot is completed, push your changes to the staging
slot and finally production
environment.
Task 3: Setup second variation in Optimizely
Let’s go back to Optimizely website. Navigate Champaigns”, click on the experiment created in this lab.
Step 1. Click on “+ Add Variation”, ignore a warning about making changes while the experiment is running.
Step 2. Let’s remove “Fork me on Github” element in the top left corner from this variation. Click on it.
Then chagne Layout > Visibility to “Removed”.
Step 3. In this variation background color of all “Shop Now” buttons will be changed.
- Change background color of the “Shop Button” in the carousel the same way as in variation 1.
-
Enter the
Enable Event Tracking
the same way as in variation 1 as well. - If you scroll down you will see that all elements in “Arrivals” and “Top selling” groups also contain their own “Shop Now” buttons. Their color hasn’t been changed because
.carousel-link
class is not used for these buttons. -
We hope the color is like this.
-
If you were to look at the DOM, you would see that all those “Shop Now” buttons are in div tags with class “shop-now”, i.e. changing the background color of that class will change background color of all “Shop Now” buttons.
-
To change the color of these buttons, select the selector
.shop-now
and change color the same way as in variation 1. - Optionally: Create another tracking goal for every of these buttons.
Task 4: Updating settings of your experiment
Let’s look at the main settings that could be adjusted for an experiment. Navigate “Home” and click on the experiment created in this lab.
Step 1. Traffic Allocation:
- Click on “Edit” next to “Traffic Allocation: 100%”.
- Adjust amount of traffic to participate in this experiment.
- Next, adjust the chance of seeing a particular variation of the website for the users included in this experiment.
-
Click on “Save”.
Note: If 0% are included then none of the users will see any changes.
Step 2. Metrics:
- Click on “Metrics”.
- Set “Shop Button” goal as a primary goal for this experiment.
- Add any other goals you want to include in this experiment.
-
Click on “Save”.
Step 3. Audiences:
- Click on “Audiences”.
-
Click on “Create a New Audience”
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Enter Name for your audience. Drag “Device” condition to “Audience Conditions” or any other condition you want to use and set it up as you wish. Click on “Save”
Note: It’s possible to create logical expressions using these conditions by dragging them into “and” or “or” sections.
- Click on “Save”.
Step 4. Pages:
- Click on “Pages”.
- Let’s add
dev
andstaging
slots to this experiment. -
Click on “Save”
Step 5. Schedule:
- Click on “Schedule”.
- Select time when experiment will start
- Select time when experiment will end
- Select time zone.
-
Click on “Save”
Task 5: Viewing results of your experiment
Let’s view some data collected by Optimizely.
Note: Data can be generated by opening website in Incognito mode a few times and clicking on “Shop Now” button
Step 1. Click on “Results” button.
Step 2. Once navigated to the “Results” page, you will be able to see and break down all of the collected information. This data can be shared with stakeholders by clicking on “Share” button near the top right corner.
Step 3. This particular data indicates that users are more likely to click on the “Shop Now” button in “Variation #2” of the website than in any other variations.
Note: Keep in mind that if the sample size of this experiment is not large enough then this data would most likely be meaningless.
Summary
In this lab, you have learned how to integrate with Optimizely, create different variations of your website, set audience and traffic allocation for an experiment, view and export results.