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© Lexa
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by Themesbrand.


Welcome!
Hi! I'm Alejandro Jiménez Rico.
I graduated as a physicist, started working in Financial Industry and eventually did find my passion in Data Science.
Within this website I'll try to post and explain some of my work and discuss its application. More generally you may find random posts about any topic that I find interesting.
I'm also the author of some R packages, such as
harrypotter.
gameofthrones.
If you are interested, you can download and take a look at my CV.


Contributing
Contributions are always welcome, no matter how large or small.
Working on your first Pull Request? You can learn how from this free series How to Contribute to an Open Source Project on GitHub
Code of Conduct
By participating, you are expected to uphold this Contributor Covenant Code of Conduct. Please report unacceptable behavior to<EMAIL_ADDRESS>Project setup
First, fork then clone the repo:
git clone https://github.com/your-username/mongoose-data-seed
cd mongoose-data-seed
git remote add upstream https://github.com/sharvit/mongoose-data-seed
Install dependencies:
yarn
Run test suits to validate the project is working:
yarn test
Run linter to validate the project code:
yarn lint
# to fix linting errors
yarn lint --fix
Run linter to validate your commit message:
yarn lint:commit
Committing and Pushing changes
Create a branch and start hacking:
git checkout -b my-branch
Commit and push your changes:
generator-node-mdl
uses commitizen to create commit messages so semantic-release can automatically create releases.
git add .
yarn commit
# answer the questions
git push origin my-branch
Open this project on GitHub, then click “Compare & pull request”.
Help needed
Please watch the repo and respond to questions/bug reports/feature requests, Thanks!


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--- layout: default feijoa: true title: Contents | Thesis file: thesis/index.html lang: en mathjax: true locale_es: /en/thesis/resumen.html ---
Written in 2014–2016 by Ken Arroyo Ohori.
ISBN: 978–1–326–59638–5
No copyright: This thesis is released into the public domain using the CC0 code. To the extent possible under law, I waive all copyright and related or neighbouring rights to this work.
To view a copy of the CC0 code, visit: http://creativecommons.org/publicdomain/zero/1.0/
Caveat: I am very happy to release my own text and figures without any restrictions whatsoever. As far as I am concerned, any attribution is very much appreciated but it is not required. However, this does not except anyone from following the academic practices on attribution as applicable to them. Also, I must note that throughout this thesis I have used several excerpts of others' text, images and code, which I have always been careful to mark as such. While I am myself allowed to use these excerpts under legal fair use doctrines in many countries and more specifically by the citation right (citaatrecht) in Article 15a of the Dutch Copyright Law (Auteurswet), this does not mean that you are also free to use these excerpts for any purpose.
Colophon: In its PDF form, this thesis was typeset with XeTeX 3.14159265–2.6–0.99992 (TeX Live 2015) using the Feijoa, GT Pressura and Asana Math typefaces. Most of the figures were created using OmniGraffle, Affinity Designer or Blender, often with the help of LaTeXiT. This HTML version is a transcription that follows more or less the style of the PDF.
The source code of this thesis is available at: https://github.com/kenohori/thesis
Cover: Model of a 4D house represented as a 4D cell complex. The cells of the model were manually defined and embedded in \(\mathbb{R}^4\), projected inwards/outwards to the volume of a 3-sphere (\(S^3\)), stereographically projected to \(\mathbb{R}^3\) and exported as an .obj file. This was then imported in Blender and rendered using a perspective projection down to 2D. See §9.3 for more details.
This is an HTML version of my PhD thesis, which I created in order to make my make it more acessible, to allow deep linking of sections and figures and to make it readable on small devices. If you have a big screen, want to print it or simply want to see it in a nicer format, have a look at the PDF (High-quality 200 MB / Low-quality 15 MB). Or perhaps you'd like to buy a hard copy? You can also read the list of accompanying propositions.


Mountain Spokes
Owner Operated.
☰
Home
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Contact Us
Full Name:
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Comments/Concerns:
*We will be in contact with you as soon as possible. Thanks.*


backup − a simple program for backing up files or folders.
backup
Before this program is run you will need to make changes to the config/conf file in order to choose what you would like backup. If nothing is specified in the conf file... nothing will be backed up.
How to Run
this Program
If you are using Bash, you should be able to use:
./backup
If you aren’t using Bash, you might be able to use: bash backup
summea


A WaitGroup must not be copied or passed by value. You must pass a pointer. See the very similar correct code: only two characters & and * added.
Since Go 1.7, vet now emits a warning when copying a WaitGroup, or a Cond, or a Pool, or a Mutex. Use vet!


PRG_analysis¶
-
class
PRG_analysis.
Function
(path, start, stop, hexdump, disasm)[source]¶ Function class
Object attributes:
- path: Path of PRG file
- start: Offset of function in PRG
- offset: Offset of function in PRG
- length: Length in bytes of function
- hexdump: Bytes of specific function
- disasm: Disassembly listing of function
- hash: SHA256 hash digest of function opcodes
- calls: Calls to other dynamic or static locations from function
-
class
PRG_analysis.
Program
(path)[source]¶ Program class
Contains calls to Function class to instantiate objects for each function
Object attributes:
- path: Path of PRG file
- name: Name of PRG
- hexdump: Bytes of PRG
- program_start: Offset of program entry point
- program_end: Offset of program end
- dynlib_end: Offset of end of dynamic library strings
- strings: PRG strings (>4 ASCII)
- FunctionBoundaries: Start and end offsets of binary blobs (routines)
- Functions: Contains <Function> objects (see Function class)
- dynlibs_dict: Dictionary with dynamic calls
- statlibs_dict: Dictionary with static calls
- libs_dict: Dictionary with all calls
- inputs: List of outputs
- outputs: List of outputs
-
_Program__allindices
(file_bytes, sub, offset=0)¶ Finds all occurrences of substring
Param: file_bytes: bytes to perform the search on Param: sub: substring to search for in file_bytes
-
_Program__find_blocks
()¶ Finds binary blobs (routines) based on the following delimiters:
START: 0D C0 A0 E1 00 58 2D E9 0C B0 A0 E1
STOP: 00 A8 1B E9
-
_Program__find_dynlibs
()¶ Finds dynamic libraries and their offsets
-
_Program__find_functions
()¶ Produces disassembly listings for all functions
-
_Program__find_io
()¶ Find program INPUTS and OUTPUTS based on TRG information
Assumes I/O memory locations will appear as direct offsets in the program and are kind of unique
-
_Program__find_libcalls
()¶ Finds the calls from all functions (dynamic and static)
-
_Program__find_statlibs
()¶ Finds static libraries and their offsets
-
_Program__read_file
()¶ Reads hexdump from file
-
_Program__save_object
()¶ Serializes the object instance and saves it to a file using the dill module
-
_Program__strings
()¶ Finds consecutive <= 4-byte ASCII character strings


Before using the API, please contact Avaya for API key and endpoint information.
To build the API, you need npm and node.js installed.
npm install
npm run compile
npm run unit
to run all unit testsTo ensure code quality, you could install VSCode plugins including
Git Hooks: The project also uses husky, lint-staged, and prettier to make sure code is formatted and tested before being committed to Git repository. Make sure latest version of npm is used for this work. e.g. nvm use 13.5
To import API into your project:
npm install avaya-cloud-api
The API is published with type declaration files, once imported, VSCode would assist code completion automatically. To import from the API, do like below:
import { createAgentClient, createSubscriptionClient} from "avaya-cloud-api"
The API provides AgentClient class that could be used to create and delete agents in Avaya system. AgentClient also has method to retrieve a user token for an agent, which is needed to login to Avaya Webphone
// create an instance of AgentClient
let agentClient = await createAgentClient(endpoint, apiKey);
// create Agent and Station
let response = await agentClient.createAgentAndStation(agentUsername, agentPassword);
// create Agent and Station with first name and last name
const response = await agentClient.createAgentAndStation(agentUsername, agentPassword, firstName, lastName);
// retrieve token for agent
let token = agentClient.getUserToken(agentUsername)
// get sub account app id
const subAccountAppId = agentClient.SubAccountAppId
The API also provides SubscriptionClient to subscribe to sub-account data. Please see sample source code for examples on how to use the API.
// create an instance of SubscriptionClient
let subscriptionClient = await createSubscriptionClient(endpoint, apiKey);
// an create subscription request payload
let createSubscriptionRequest = {
"dataSourceType": DataSourceType.HAgent,
"dataDeliveryFormat": DataDeliveryFormat.Csv,
"endpoint": "https://example.com",
"retryPolicy": RetryPolicy.Default,
"basicAuthUsername": "avaya",
"basicAuthPassword": "password",
"frequencyInMinutes": 0,
"maxPostSize": 0,
"startTime": "2019-11-04T21:55:24.421Z",
"disableTLSVerify": true,
"subAccountAppId": "ALL",
"eventType": EventType.Historical
};
// fire subscription create request
let response = await subscriptionClient.createSubscription(createSubscriptionRequest);
// save subscription id
let subscriptionId = response.subscriptionId
// delete a subscription
await subscriptionClient.deleteSubscription(subscriptionId);
The AUXCodeClient retrieves sub account aux codes, effective aux code given sub account app id.
// create an instance of AUXCodeClient
let auxCodeClient = await createAUXCodeClient(endpoint, apiKey);
// get subaccount aux codes
let auxCodes = await auxCodeClient.getAuxCodes();
// get subaccount effective aux code via sub account app id
let appIdAuxCodes = await auxCodeClient.getAUXCodesForEffectiveAppId();
The AddressBookClient could be used to get sub-account Address Book with all active contacts. With search endpoint contacts could be fetched by multiple optional params: type (one or many of Agent/Supervisor/Outbound/ACO/VDN separated by comma); partial name/destination; full virtualExtension. The search request could contain pagination (pageSize; page number) and sorting (by name/type/virtualExtension/destination; direction ASC/DESC) params.
// create an instance of AddressBookClient
const addressBookClient = createAddressBookClient(endpoint, apiKey)
// get Address Book
const addressBookResponse = await addressBookClient.getAddressBook()
// search contacts w/o query params
const addressBookSearchResponse = await addressBookClient.searchContacts()
// search contacts by type
const searchRequest = { type: 'ACO' }
const addressBookSearchResponse = await addressBookClient.searchContacts(searchRequest)
// search contacts by partial name or destination
const searchRequest = { query: 'partial_name_or_destination' }
const addressBookSearchResponse = await addressBookClient.searchContacts(searchRequest)
// search contacts with pagination params
const searchRequest = { page: 2, pageSize: 10 }
const addressBookSearchResponse = await addressBookClient.searchContacts(searchRequest)
// search contacts with sort params
const searchRequest = { orderBy: 'type', orderDirection: 'DESC' }
const addressBookSearchResponse = await addressBookClient.searchContacts(searchRequest)
// search contacts with all params
const searchRequest = { type: 'Agent,Supervisor,ACO', query: 'partial_name_or_destination', page: 0, pageSize: 5, orderBy: 'type', orderDirection: 'ASC' }
const addressBookSearchResponse = await addressBookClient.searchContacts(searchRequest)
An agent can receive or make a phone call. This sample client creates an agent, reads it back, and deletes it. The sample will also retrieve a token for an agent and print it out in the console.
node lib/sample/SampleAgentClient.js --endpoint='http://localhost:8081' --api_key=YOUR-API-KEY --agent_username=tenfoldagent1 --agent_password=Passw0rd@1
With Agent first and last name
node lib/sample/SampleAgentClient.js --endpoint='http://localhost:8081' --api_key=YOUR-API-KEY --agent_username=tenfoldagent2 --agent_password=Passw0rd@2 --agent_firstname=FirstName --agent_lastname=LastName
Data subscription allows a user to receive call data on their chosen endpoint. Please look in sampleSubscriptionClient.js for how to create a data subscription object to pass to the server. This sample client creates a subscription, reads it back, and deletes it.
node lib/sample/SampleSubscriptionClient.js --endpoint='http://localhost:8081' --api_key=YOUR-API-KEY
AUX Codes (or Auxiliary Codes) are used to track the time an agent has deliberately chosen to not accept calls. This sample client fetches the list of configured AUX Codes.
node lib/sample/SampleAUXCodeClient.js --endpoint='http://localhost:8081' --api_key=YOUR-API-KEY
An Address Book contains contacts of the following types: Agent | Supervisor | Outbound | ACO | VDN
This sample client can fetch a full Address Book or execute queries on an AddressBook.
node lib/sample/SampleAddressBookClient.js --endpoint='http://localhost:8081' --api_key=YOUR-API-KEY
Generated using TypeDoc


Norse Trip Advisor
Courses
Hotels
Global Learning
Portfolio Item
Subheading
Home
Ashford Castle
Ashford Castle
This section is where there will be a breif description of the hotel.
Hotel Details
Rating: 95
Free Wifi
Continental Breakfast
Indoor Pool/Hottub
Etc.
Related Hotels


Steem Developer Portal
PY: Stream Blockchain Transactions
How to stream transactions on the live Steem blockchain
Full, runnable src of Stream Blockchain Transactions can be downloaded as part of the PY tutorials repository.
In this tutorial we show you how to stream transactions on the Steem blockchain using the blockchain
class found within the steem-python library.
Intro
Tutorial is demonstrating the typical process of streaming blocks on Steem. We will show some information from each block that is being streamed to give you an idea. Each block contains transactions objects as well but we will not show each of this data in user interface.
We are using the blockchain.stream()
function provided by steem-python
which returns each block after it has been accepted by witnesses. By default it follows irreversible blocks which was accepted by all witnesses.
Steps
- App setup Configure imports and initialization of libraries
- Stream blocks Stream blocks
- Sample result Stream blocks
1. App setup
In this tutorial we use 1 package:
steem - steem-python library and interaction with Blockchain
from steem.blockain import Blockchain
blockchain = Blockchain()
Above we create an instance of Blockchain which will give us the ability to stream the live transactions from the blockchain.
2. Stream blocks
Next we create an instance of stream
and then loop through the steam as transactions are available and print them to the screen.
stream = blockchain.stream()
for post in stream:
print(post)
3. Sample result
{
"curator": "idx",
"reward": "4.042446 VESTS",
"comment_author": "blackbunny",
"comment_permlink": "6tfv5e",
"_id": "5801d1c99ca7ecd1d4387ebd89d4edab08612b35",
"type": "curation_reward",
"timestamp": "2018-09-21T21:11:02.005Z",
"block_num": 26136919,
"trx_id": "0000000000000000000000000000000000000000"
}
That’s it!
To Run the tutorial
- review dev requirements
- clone this repo
cd tutorials/13_stream_blockchain_transactions
pip install -r requirements.txt
python index.py
- After a few moments, you should see a prompt for input in terminal screen.


VibroScale: Turning Your Smartphone into a Weighing Scale
Shibo Zhang
Qiuyang Xu
Sougata Sen
Nabil Alshurafa
Northwestern University, HABits Lab
Chicago, IL, USA
[Paper Download]
---"Do we have a method to utilize the powerful sensing capability of an everyday smartphone and turn it into a weighing scale?"
Smartphones, with their ubiquity and plethora of embedded sensors enable on-the-go measurement. Here, we describe one novel measurement potential, weight measurement, by turning an everyday smartphone into a weighing scale. We describe VibroScale, our vibration-based approach to measuring the weight of objects that are small in size. Being able to objectively measure the weight of objects in free-living settings, without the burden of carrying a scale, has several possible uses, particularly in weighing small food items. We designed a smartphone app and regression algorithm, which we termed VibroScale, that estimates the relative induced intensity of an object placed on the smartphone.
Device and Implementation
Device: Google Nexus 5 (Android 4.4 API level 19)
Steps of VibroScale App:
1. It turns on smartphone’s vibration motor and uses its accelerometer to measure the vibration intensity for 5 seconds.
2. It guides the user to place the object on smartphone, with vibration motor on and accelerometer recording for 5 seconds.
3. It runs algorithm pipeline to estimate the object's weight.
Data Processing and Modeling
The first step in data processing involves ensuring that the data collected from the accelerometer are at 200 Hz. If, due to hardware limitations, the data collected for any second are not 200 Hz, we interpolate the data using a linear interpolation method. Next, we extract the zero-load stage (first 3 seconds) accelerometer’s y-axis signal ȧt (t = 0,..., T1) and the with-load stage (after 3 seconds) accelerometer’s y-axis signal ãt (t=0,..., T2). We use Equations 1 and 2 to obtain the zero-load intensity and with-load intensity, respectively.
Finally, we obtain the relative intensity induced by the object by computing the difference between İ and Ĩ, as shown below.
This relative induced intensity 𝐼 is used to build a linear regression model, which we use to predict the weight of the object. The pipeline above pictorially presents the entire process.
Data processing and modeling pipeline
Experiments and Results
Dataset: To determine the possibility of determining an object’s weight using VibroScale, we used the following 52 distinct items: apples (24 pieces), onions (16 pieces), green pepper (6 pieces), and non-food tableware including glasses and bowls (6 pieces).
Variation in vibration when no weight is placed on the smartphone
or when variously weighted apples are placed on the smartphone.
Evaluation strategy: To evaluate the performance of our model, we performed a leave-one-object-out cross validation for each object and then for all objects combined. When evaluating the N items, we build a linear regression model using N-1 items, and test it on the Nth item, we repeat this step N times. We tested different axes of the accelerometer and performed Principle Component Analysis (PCA) to calculate the PCA components of the x/y axis and x/y/z axis for intensity calculation. The dominant frequency components of the different axes were also tested to derive intensity. In the end, we found that the most prominent variation was observed when using y-axis data in the time domain.
The figure left shows the distribution of relative vibration intensity based on weight. The relationship is noisy due to the variation in natural frequency of the objects and due to the employed prediction model. Nonetheless, we observed a moderate linear correlation, with a Pearson correlation coefficient of 0.70 (p=6e-9). Overall, the objects used in our study ranged from 53 grams to 376 grams. When we performed a leave-one-object-out cross validation, we observed that the mean absolute error (MAE) in predicting the weight of the object was 33 grams, and the mean absolute percentage error (MAPE) was 23.7%. The MAE and MAPE for apples were 12.4 grams and 7.7%, respectively, while they were 41.3 grams and 33.2% for onions.
The table below indicates objects used in the study along with their actual weight range and error in predicted weights.
| Items | Apple | Onion | Pepper | Tableware | All |
|---|---|---|---|---|---|
| Number(N) | 24 | 16 | 6 | 6 | 52 |
| Min/Max(g) | 114/202 | 53/376 | 118/164 | 59/263 | 53/376 |
| MAE(g) | 12.4 | 41.3 | 16.2 | 32.4 | 33.0 |
| MAPE(%) | 7.7 | 33.2 | 11.9 | 25.9 | 23.7 |
(MAE, mean absolute error; MAPE, mean absolute percentage error.)
The figure below depicts the variation in actual and predicted weight of apples. For apples weighing between 114 and 202 grams, we observed a MAE of 12.4 grams with a standard deviation of 10.7 grams and a MAPE of 7.7%.
Publication
Shibo Zhang, Qiuyang Xu, Sougata Sen, Nabil Alshurafa. 2020.
VibroScale: Turning Your Smartphone into a Weighing Scale.
In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive andUbiquitous Computing and Proceedings of the 2020 ACM International Sym-posium on Wearable Computers (UbiComp/ISWC ’20 Adjunct), September12–16, 2020, Virtual Event, Mexico.ACM, New York, NY, USA, 4 pages.
https://doi.org/10.1145/3410530.34143971
@inproceedings{vibroscale,
author = {Zhang, Shibo and Xu, Qiuyang and Sen, Sougata and Alshurafa, Nabil},
title = {VibroScale: Turning Your Smartphone into a Weighing Scale},
year = {2020},
isbn = {978-1-4503-8076-8/20/09},
publisher = {Association for Computing Machinery},
doi = {10.1145/3410530.3414397},
booktitle = {Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC ’20 Adjunct), September 12--16, 2020, Virtual Event, Mexico},
keywords = {smartphone, weighing scale, measurement, vibration, accelerometer},
location = {Virtual Event, Mexico},
series = {UbiComp ’20}
}
Webpage by Shibo adapted from Yen-Chia Hsu, video by Qiuyang


Home Depot says online investments take longer to pay off, cuts sales goal
Home Depot Inc cut its full year sales forecast on Tuesday, saying it was taking longer than expected for its investments to integrate its online and in-store shopping experience to pay off.
REUTERS: Home Depot Inc said on Tuesday its efforts to integrate online and in-store shopping were taking longer than expected to pay off, prompting the retailer to cut its 2019 sales forecast and sending its shares down 7per cent in premarket trade.
To keep customers away from rival Lowe's Cos Inc , Home Depot invested heavily in its online business, primarily by adding automated lockers in stores for shoppers who want to pick up their orders rather than wait for them to be delivered.
The largest U.S. home improvement chain has also worked on its supply network to shorten delivery times and the search function of its website to make in-demand products more easily accessible.
"We are largely on track with these investments and have seen positive results, but some of the benefits anticipated for fiscal 2019 will take longer to realize than our initial assumptions," Chief Executive Officer Craig Menear said.
Same-store sales at Home Depot rose 3.6per cent in the third quarter ended Nov. 3, below expectations of a 4.7per cent increase, according to IBES data from Refinitiv.
Home Depot said it expected its fiscal 2019 sales to rise about 1.8per cent, compared to a prior forecast of a 2.3per cent increase. The company also cut its full year same-store sales forecast.
Home Depot's weak results also pulled shares of smaller rival Lowe's down nearly 3per cent in premarket trading.
Net income fell to US$2.77 billion or US$2.53 per share in the third quarter from US$2.87 billion, or US$2.51 per share. Analysts were expecting earnings of US$2.52 per share.
(Reporting by Uday Sampath in Bengaluru; Editing by Tomasz Janowski)


MicroFloats
Rossum's Undergraduate Robots
Spring 2021 Interdisciplinary Capstone Design (ME/ECE 4723)
Development and Design of a Swarm Autonomous Underwater Vehicle
Team Members
Asha Bhandarkar
Computer Engineering
Afshan Chandani
Mechanical Engineering
Dylan Fife
Mechanical Engineering
Hank Hellstrom
Mechanical Engineering
Arvind Srinivasan
Computer Engineering
Andrew Yarovoi
Mechanical Engineering
Advisors
Dr. Bert Bras
Mechanical Engineering
Dr. Michael West
Electrical and Computer Engineering
Other Resources
GitHub
Simulations, PCB CAD and Code, Test Code
Google Photos Album
Photos of the Team and Engineering Process
Report 1
docx
,
pdf
Presentation 1
pptx
,
pdf
Report 2
docx
,
pdf
Presentation 2
pptx
,
pdf
Project Summary
docx
,
pdf
Presentation 3
pptx
,
pdf
Capstone Expo Poster
pptx
,
pdf
Capstone Expo Presentation
pptx
,
pdf
Final Report
docx
,
pdf
Fabrication Package
pdf


Money Play. How should Red play 43?
pips Red=144 White=152
(CorrectAnswer= 0/0, ErrorScore= 0)
This position is posted to show that even when running looks obvious other moves should be considered.
Ahead in the race and with the opponent only having 7 checkers in the attack zone 20/13 seems clear and indeed it is the best play. However, 13/10, 13/9 is only 0.005 behind it and so for all intents and purposes, equal.
This demonstrates that leaving an anchor should only be done under optimal conditions such as those here. Over the last couple of years I have held on to anchors that in the past I would have run from and my results from such positions have improved markedly, so take care!
Ahead in the race and with the opponent only having 7 checkers in the attack zone 20/13 seems clear and indeed it is the best play. However, 13/10, 13/9 is only 0.005 behind it and so for all intents and purposes, equal.
This demonstrates that leaving an anchor should only be done under optimal conditions such as those here. Over the last couple of years I have held on to anchors that in the past I would have run from and my results from such positions have improved markedly, so take care!
1. Cubeful 2-ply 13/10 13/9 Eq.: +0.022 0.567 0.096 0.002 - 0.433 0.062 0.002 2. Cubeful 2-ply 20/13 Eq.: +0.004 (-0.018) 0.582 0.081 0.001 - 0.418 0.097 0.002 3. Cubeful 2-ply 13/9 6/3 Eq.: +0.001 (-0.021) 0.561 0.089 0.002 - 0.439 0.062 0.002 4. Cubeful 2-ply 6/3 6/2 Eq.: -0.017 (-0.039) 0.558 0.084 0.002 - 0.442 0.067 0.002 5. Cubeful 2-ply 7/3 6/3 Eq.: -0.033 (-0.055) 0.550 0.091 0.002 - 0.450 0.072 0.002


Morphology and structure. SEM images of (a) pristine CNT and (b,c) CNT@TiO 2-C nanocable; (d) TEM image and (e) HR-TEM image of CNT@TiO 2-C nanocable; (f) Fast Fourier transform pattern of (e); (g) Annular dark-field scanning transmission electron microscopy (ADF-STEM) Z-contrast image of CNT@TiO 2-C nanocable and electron energy loss spectrum of the TiO 2 supported on the CNT.


Just for everyday learning record. To be updated.
September 21, 2018
September 19, 2018
September 18, 2018
September 17, 2018
September 13, 2018
September 12, 2018
September 11, 2018
August 30, 2018
August 29, 2018
August 27, 2018
August 24, 2018
August 13, 2018
August 12, 2018
July 30, 2018
July 20, 2018
July 19, 2018


Include2
module
X
: sig ...
end
Comment about X that should not appear when including X below.
include
module type
of struct
include X
end
Comment about X that should not appear when including X below.
module
Y
: sig ...
end
Top-comment of Y.
module
Y_include_synopsis
: sig ...
end
The include Y
below should have the synopsis from
Y
's top-comment attached to it.
module
Y_include_doc
: sig ...
end


{% extends "layout.html" %} {% block page_title %} Edit reason why charge was created {% endblock %} {% block content %} alpha What created the charge? What created the charge? Agreement Certificate Covenants Deed Deed of modification Notice Order Resolution Scheme Transfer Undertaking Continue {% endblock %}
alpha


IFM Glass and Aluminium is a private company that installs aluminium doors and windows for houses, offices, restuarants and more. Our services are there to ensure that there is improvement at your home, workplace or any other places that need our touch. We are highly dedicated to transforming buildings using glass and aluminium which is both strong and beautiful. Our team of hardworking and dedicated individuals can turn an ordinary place to look stylish and modern.
Our business is simple. We do any aluminum work, replacement, repairs that suits your vision and style. We target people that are constructing new buildings or renovations such as Houses, Office Spaces, Shops, Restuarants, etc... To install for them Aluminium glass doors and windows. We also repair/replace damaged or broken windows for people that already have these utilities. You simply contact us and we get your information and measurements to where you would like your windows or doors to be installed and then we do our magic. It is as simple as that. Customer satisfaction is our middle name.
The best part of our business is that our services are extremely affordable and yet still highly competitive. We ensure that our clients are satisfied at all times and that has been our trademark thus far. Elegance and style is what we do best. If you can imagine it, then we can do it. We offer the best deals you could ever find on the market. Should you require any of our services, don't hesitate to contact us. We are here for you.


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Most creative tasks I engage in consistently have shaky starts to them. Take for example Writing and Coding. Getting into the flow is often more difficult than actually producing anything meaningful.
I find that the first fifteen minutes are the most difficult to get through. The process of staring down at a blank page, or a blank screen. Tuning out imperfection from the instrument and warming up the voice.
These first fifteen minutes are the most uncomfortable and also the most introspective. The process of pointing the gaze inward and dedicating attention to a single activity. This period at the beginning of a task functions to me as the make or break period. If I can get through the first fifteen minutes of writing, I’m generally off to a good start. With enough free time, I’m then capable of going thirty to forty-five minutes more. Maybe even longer before risking burnout.
I treat these first fifteen minutes as a warm-up, like stretching or Kata. I dedicate as much capacity as I can to focusing on the task at hand. During this period I know that I won’t be able to produce anything meaningful. But know that if I can get through it, there is a chance that I produce something good.
My most creative experience lately has been taking the first fifteen minutes of the day to write. I go to the kitchen where I make coffee or tea. I write freely as the sun rises through my windows pointing east. I can generally write a page or two if I’m lucky. If I can continue to write after that, I’m pleased. If not, and I burn out, then the writing exercise functions as a mental stretch in preparation for the day.
Unlike writing, I can’t code first thing in the morning. And I can’t force myself to. It almost makes me ill to look at a computer screen before 9AM. Generally, on the computer I’m the most productive at night, sometime after dinner. I sit for fifteen minutes in my IDE and stare at the problem. Sometimes refactor some code to get familiar with the task at hand. Then get to work and fix the problem if I can avoid social media and distractions.
Although the first fifteen minutes are difficult, I’ve found that there are workarounds.
Timers help to set linear structure. If I’m struggling, I’ll set a timer for anywhere between forty-five minutes to one hour. That ensures that I can sit an adequate time with the task to make at least some progress. I’ll often forget about the timer and realize only when it rings that I’ve made progress.
After the designated time period, I’ll step away so as not to burn out. Productivity feels empty and meaningless if I’m not enjoying what I’m doing. I don’t get too involved in what I’m producing, as long as I’m making progress and setting aside time each day.


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ArkGameFrame
v0.1.0
ArkGameFraime is a lightweight, fast, scalable, distributed module and plugin framework to create a game server easily. Greatly inspired by OGRE and Bigworld.
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Go to the source code of this file.
Classes | |
| class | NFIRecord |
| Information about the nfi. More... | |


Struct OPERATION_RESULT
Assembly: DataDistributionManagerNet.dll
Syntax
public struct OPERATION_RESULT : IComparable
Constructors
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OPERATION_RESULT(Int32)
Declaration
public OPERATION_RESULT(int value)
Parameters
| Type |
Name |
Description |
| Int32 |
value |
|
Fields
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DDM_COMMIT_FAILED
Declaration
public const int DDM_COMMIT_FAILED = -268435450
Field Value
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DDM_DATA_AVAILABLE
Declaration
public const int DDM_DATA_AVAILABLE = 536870912
Field Value
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DDM_ELAPSED_MESSAGE_ACKNOWLEDGMENT_TIMEOUT
Timeout on acknowledgment
Declaration
public const int DDM_ELAPSED_MESSAGE_ACKNOWLEDGMENT_TIMEOUT = 536870917
Field Value
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DDM_ELAPSED_MESSAGE_RECEIVE_TIMEOUT_BEGIN
Timeout elapsed waiting for messages from the channel
Declaration
public const int DDM_ELAPSED_MESSAGE_RECEIVE_TIMEOUT_BEGIN = 536870915
Field Value
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DDM_ELAPSED_MESSAGE_RECEIVE_TIMEOUT_END
End timeout condition waiting for messages from the channel
Declaration
public const int DDM_ELAPSED_MESSAGE_RECEIVE_TIMEOUT_END = 536870916
Field Value
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DDM_END_OF_STREAM
Declaration
public const int DDM_END_OF_STREAM = 536870913
Field Value
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DDM_FATAL_ERROR
Declaration
public const int DDM_FATAL_ERROR = -268435455
Field Value
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DDM_INVALID_DATA
Declaration
public const int DDM_INVALID_DATA = -268435453
Field Value
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DDM_NO_DATA_RETURNED
Declaration
public const int DDM_NO_DATA_RETURNED = 536870914
Field Value
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DDM_NO_ERROR_CONDITION
Declaration
public const int DDM_NO_ERROR_CONDITION = 0
Field Value
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DDM_NOT_IMPLEMENTED
Declaration
public const int DDM_NOT_IMPLEMENTED = -268435448
Field Value
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DDM_PARAMETER_ERROR
Declaration
public const int DDM_PARAMETER_ERROR = -268435447
Field Value
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DDM_POINTER_NOT_SET
Pointer not set within subsystem
Declaration
public const int DDM_POINTER_NOT_SET = -268435449
Field Value
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DDM_SUBSYSTEM_NOT_STARTED
Declaration
public const int DDM_SUBSYSTEM_NOT_STARTED = -268435452
Field Value
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DDM_TIMEOUT
Declaration
public const int DDM_TIMEOUT = -268435454
Field Value
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DDM_UNMAPPED_ERROR_CONDITION
Declaration
public const int DDM_UNMAPPED_ERROR_CONDITION = -268435456
Field Value
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DDM_WRITE_FAILED
Declaration
public const int DDM_WRITE_FAILED = -268435451
Field Value
Properties
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Failed
Declaration
public bool Failed { get; }
Property Value
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Succeeded
Declaration
public bool Succeeded { get; }
Property Value
Methods
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CompareTo(OPERATION_RESULT)
Declaration
public int CompareTo(OPERATION_RESULT that)
Parameters
Returns
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CompareTo(Int32)
Declaration
public int CompareTo(int that)
Parameters
| Type |
Name |
Description |
| Int32 |
that |
|
Returns
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CompareTo(Object)
Declaration
public int CompareTo(object obj)
Parameters
| Type |
Name |
Description |
| Object |
obj |
|
Returns
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Equals(OPERATION_RESULT)
Declaration
public bool Equals(OPERATION_RESULT that)
Parameters
Returns
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Equals(Int32)
Declaration
public bool Equals(int that)
Parameters
| Type |
Name |
Description |
| Int32 |
that |
|
Returns
|
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Equals(Object)
Declaration
public override bool Equals(object obj)
Parameters
| Type |
Name |
Description |
| Object |
obj |
|
Returns
Overrides
|
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FAILED(Int32)
Declaration
public static bool FAILED(int hr)
Parameters
| Type |
Name |
Description |
| Int32 |
hr |
|
Returns
|
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GetHashCode()
Declaration
public override int GetHashCode()
Returns
Overrides
|
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SUCCEEDED(Int32)
Declaration
public static bool SUCCEEDED(int hr)
Parameters
| Type |
Name |
Description |
| Int32 |
hr |
|
Returns
|
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ToString()
Declaration
public override string ToString()
Returns
Overrides
Operators
|
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False(OPERATION_RESULT)
Declaration
public static bool operator false (OPERATION_RESULT This)
Parameters
Returns
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Implicit(OPERATION_RESULT to Boolean)
Declaration
public static implicit operator bool (OPERATION_RESULT This)
Parameters
Returns
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Implicit(OPERATION_RESULT to Int32)
Declaration
public static implicit operator int (OPERATION_RESULT This)
Parameters
Returns
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Implicit(Int32 to OPERATION_RESULT)
Declaration
public static implicit operator OPERATION_RESULT(int This)
Parameters
| Type |
Name |
Description |
| Int32 |
This |
|
Returns
|
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True(OPERATION_RESULT)
Declaration
public static bool operator true (OPERATION_RESULT This)
Parameters
Returns
Implements


G.S. Paper -2
Topic: Polity
- Punjab amends Excise Act to allow clubs, hotels near highways to serve liquor
Context: Last year, the SC scrapped licences for liquor sale along highways.
Reason: that drunken driving was the main culprit for the large number of road accidents in the country.
In news:
- Punjab has become the first State to take the amendment route to make way for liquor sale near highways as the Assembly passed a legislation enabling hotels, restaurants and clubs to serve alcohol within 500 metres of highways.
- The Bill stated that it aims to ensure that hotels, restaurants, clubs and other notified places are allowed to serve alcohol to customers only for consumption within their premises to secure the livelihood of a large segment of population.
- However, sale of liquor for takeaway purposes shall be permitted only through licensed vends which shall not be located within 500 metres from the outer range of the National or State Highway or a service lane of those roads
Measures taken by other states:
- States such as Rajasthan, Maharashtra, Himachal Pradesh, Uttarakhand, West Bengal and the Union Territory of Chandigarh denotified hundreds of kilometres of highways as local roads in order to bypass the Supreme Court ruling.
- Centre announces 30 more Smart Cities
http://www.thehindu.com/news/national/centre-announces-30-more-smart-cities/article19136567.ece
In news:
- Thirty more cities from across the country have been added to the Centre’s Smart Cities Mission, with a proposed investment of Rs.57,393 crore in various projects under the scheme.
- Smart Cities Mission
- Second year anniversary.
- total number of cities covered 90 (including the 30 newly recognized ones)
- The cities were picked on the basis of the proposals they submitted for the Smart Cities Challenge. Among the cities selected, Kerala’s capital, Thiruvananthapuram, topped the challenge.
Cities selected:
-
- Tamil Nadu emerged as the State with the highest number of cities selected in this round, with Tirupur, Tirunelveli, Thootukudi and Tiruchirappalli making it to the Mission.
- Uttar Pradesh and Gujarat had three cities each selected for the Mission. While Jhansi, Allahabad and Aligarh made it from U.P., Rakjot, Gandhinagar and Dahod were the picks from Gujarat.
- Madhya Pradesh (Sagar and Satna), Bihar (Patna and Muzaffarpur), Chhattisgarh (Naya Raipur and Bilaspur) and Jammu and Kashmir (Srinagar and Jammu) had two cities each selected.
- Andhra Pradesh’s new capital, Amaravati, was also selected, as was Karimnagar in neighbouring Telangana.
- Among the 11 State capitals selected were Bengaluru in Karnataka, Shimla in Himachal Pradesh, Aizawl in Mizoram and Gangtok in Sikkim. The other cities selected were Puducherry, Karnal in Haryana, Dehradun in Uttarakhand, Pimpri Chinchwad in Maharashtra, and Pasighat in Arunachal Pradesh.
- Modi government launches Liveability Index for 116 cities to measure quality of life
In news:
- The central government launched the “City Liveability Index” – a first of its kind initiative introduced by the Urban Development Ministry – to measure the quality of life in 116 major cities including capital cities and those with population over one million.
- Urban Development Minister M.Venkaiah Naidu launched the Index at a National Workshop on Urban Transformation.
Parameters:
- The cities will be assessed on a comprehensive set of 79 parameters to capture the extent and quality of infrastructure including availability of roads, education and health care, mobility, employment opportunities, emergency response, grievance redressal, pollution, availability of open, green spaces, and culture.
Reform incentive fund:
- Progress in respect of reforms like e-governance, audit of accounts, tax revision policies and extent of tax revenue collection, energy and water audit, establishing state level financial intermediaries for resource mobilisation and credit rating was taken into account.
- Marks scored by states were considered for deciding the quantum of incentive with high scorers getting more.
- The Urban Development Ministry also increased reform incentive fund for the next three financial years from Rs 900 crore to Rs 10,000 crore “to promote next generation reforms that would make a substantial difference to urban governance and service delivery and resource mobilization by urban local bodies,”
- The Ministry disbursed Rs 500 crore as incentive to 16 states that performed well in implementing urban reforms during 2016-17.
(Facts and figures not important)
Andhra Pradesh topped the list scoring 96.06 per cent marks. Others who received the incentive fund in order of merit were Odisha (95.38 per cent), Jharkhand (91.98 per cent), Chhattisgarh (91.37 per cent), Madhya Pradesh (90.20 per cent), Telangana (86.92 per cent) and Rajasthan (84.62 per cent).
Punjab also scored 77.02 per cent along with Kerala (75.73 per cent), Goa (75.38 per cent), Mizoram (75 per cent), Gujarat (73.80 per cent), Chandigarh (72.73 per cent), Uttar Pradesh (70.67 per cent) and Maharashtra (70.52 per cent).
- Panel to oversee progress in UN’s SDG
http://www.thehindu.com/business/panel-to-oversee-progress-in-uns-sdg/article19136626.ece
In news:
- The Centre will soon set up a high -level committee headed by Chief Statistician of India to oversee the country’s progress towards UN’s Sustainable Development Goals aimed at ending poverty, fighting inequalities and tackling climate change.
- A dashboard is also being developed with technical support from the UN Development Programme (UNDP) to “strengthen the mechanism” for monitoring progress on these global goals.
National indicators
- The Ministry of Statistics and Programme Implementation has already developed a list of draft national indicators to measure progress of SDGs. These draft indicators have been put out in public domain. Based on the inputs received, national-level indicators will be finalised.
- India will hold bi-annual reviews with the State governments for identifying good practices and challenges.
G.S. Paper -3
Topic: Economic
- Software export growth set to slow: Nasscom
In News:
- The country’s software export growth is set to slow to 7-8% this fiscal year, down from 8.6% a year earlier, according to industry body Nasscom
- The domestic market was projected to grow faster than the export market during this fiscal
Factors that affect software exports:
- Increased rhetoric on protectionism
- Elections, Brexit and visa issues
- Macroeconomic uncertainties
- Focus on cost optimisation
- Currency volatility
Inflection point in industry and way forward:
- Improvements in financial services and a high potential in digital businesses would be the key growth drivers
- An improvement in legacy business and increased automation-based projects would also be among the growth drivers
- The demand will be for technology-skilled professionals and it was imperative for new and existing people to reskill themselves.
Topic: Agriculture
- Are farm loan waivers really so bad?
http://www.livemint.com/Opinion/JGWTvQih0NMED3pXJoasiM/Are-farm-loan-waivers-really-so-bad.html
Context:
- There has been a rising trend of farm loan waivers in country in recent times and after UP, Maharashtra and Punjab, Karnataka has also announced waivers for few categories of farmers.
What do farm loan waivers leads to?
- Farm loan waiver undermines an honest credit culture, it impacts credit discipline, it blunts incentives for future borrowers to repay
- Waivers engender moral hazard.
- It also entails at the end of the day, transfer from taxpayers to borrowers
- On account of this, overall government borrowing goes up and yields on government bonds also are impacted
- It can also lead to the crowding out of private borrowers as higher government borrowing can lead to an increase in cost of borrowing for others
Present demands and reasons behind them:
- The present demands are an outcome of the fact that the government is willing to provide for “acts of God”, not for “acts of state”
- The policy framework for farm loans has a provision that when the Centre declares a drought, farm loans in officially designated “affected districts” are rolled over, initially for a year, up to a maximum of three years
- Farmers’ problems in 2016-17 are almost entirely the outcome of demonetisation: there was no clear geographical demarcation, and there has been no rolling over of loans
What if farm loans are not waived?
- Agricultural loans by banks in India are compulsorily insured by the Agricultural Insurance Company of India (AIC)
- Its liabilities are back-stopped by the Centre through budgetary support
- Even if loans aren’t waived, there is no loss to banks
- In situations of widespread and acute farmer distress leading to substantial defaults, the Centre will have to step in and provide funds
- The difference is that waivers are borne by states, and defaults are borne by the Centre
How this all started?
- To improve farmer livelihoods and check food inflation, our agricultural strategy has been based upon persuading farmers to move away from traditional subsistence agriculture towards more commercial operations
- This entails farmers investing much more and taking higher risks
Economic consequences:
- Traditional farm finance sources like moneylenders can neither provide the requisite volume of funds nor do they allow enough margins to make risk-taking worthwhile
- Forcing farmers back to moneylenders will retard diversification, thereby increasing the risk of accelerating food inflation
The ‘sub-sovereign’ dilemma:
- At the heart of this problem are constitutional provisions
- Health of the banks is the Centre’s concern while the health of the farmers is that of the states (Center, state and concurrent lists)
- This division of responsibility is asymmetric in that if states protect the interest of farmers, they also protect banks; while the Centre can protect banks without concern for farmers
Possible solutions:
- The Centre and states need to work together to evolve a farm loan model which protects both farmers and banks without bringing politics into it
- This is the essence of “cooperative federalism”
Topic: Science and Technology
- ISRO puts 31 satellites in space
In news:
- The Indian Space Research Organisation (ISRO) successfully launched 31 satellites — 29 of them belonging to foreign countries — on board the PSLV-C38 from the Satish Dhawan Space Centre.
- Satellites carried:
- Cartosat-2 series satellite, the main payload, weighing 712 kg
- NIUSAT, an Indian university/academic institute satellite from Noorul Islam University, Kanyakumari
- The other 29 nano satellites belonged to 14 nations — Austria, Belgium, Chile, Czech Republic, Finland, France, Germany, Italy, Japan, Latvia, Lithuania, Slovakia, the U.K., and the U.S.
Cartosat-2 series satellite:
- The Cartosat-2 is a remote sensing satellite, and is the sixth in the series
- It will be used for cartographic applications , coastal land use and regulation , road network monitoring, water distribution, creation of land use maps, Land Information Systems (LIS) and Geographical Information System (GIS) applications.
Milestone achievement:
- With the launch of the PSLV-C38, ISRO now had the confidence to put a number of satellites into different orbits- Geo Synchronous, Sun Synchronous orbit or low inclination orbit, carrying multiple satellites, in a single mission.
Practice questions
1. The city liveability Index which was in news recently is intended
- To measure the quality of life in 116 major cities including capital cities and those with population over one million.
- To measure the quality of life in 116 major cities including capital cities and those with population over five million.
- To measure the quality of life in 116 major cities including capital cities and those with population over ten million.
- None of the above
2. Consider the following statement with reference to Cartosat-2 series satellite, which was launched recently by ISRO
- Cartosat-2 is a remote sensing satellite.
- Cartosat-2 will be used for Land Information Systems (LIS) and Geographical Information System (GIS) applications.
- Cartosat-2 is a weather forecasting satellite.
Identify the correct statement
- 1 only
- 2only
- 1and 3
- 1 and 2
3. Who among the following established the Bhil Seva Mandal in 1922?
- Narain Malhar
- Amritlal Vitthaldas Thakkar
- Jyotiba Phule
- Baba Amte
4. Which among the following temples of India is known as Black Pagoda?
- Sun Temple, Konark
- Brihadeeswara Temple, Tanjore
- Lord Jagannath Temple, Puri
- Meenakshi Temple, Madurai


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mockspresso-easymock / com.episode6.hackit.mockspresso.easymock / EasyMockPlugin / <init>
<init>
EasyMockPlugin()
Deprecated: This functionality is now exposed by the kotlin extension method `mockByEasyMock()` and its JavaSupport counterpart MockspressoEasyMockPluginsJavaSupport#mockByEasyMock()
This class will be removed in a future release
An implementation of MockspressoPlugin that applies the Easy mock mocker config


It is currently 293 degrees Kelvin.
Click me to convert Kelvin to Fahrenheit!
Click me to convert Kelvin to Newton Scale!


AUD/USD fails to ignore broad USD strength, eyes on RBA/Fed speakers
by Anil Panchal- AUD/USD seesaws near more than five-week low after ANZ data dropped to four year low.
- Markets keep the greenback bid high as trade headlines have been positive.
- Comments from the RBA and Fed policymakers will provide fresh impulse.
AUD/USD responds to downbeat consumer confidence data while taking rounds to 0.6775 during the initial Asian trading session on Tuesday.
The weekly release of the Australia and New Zealand Banking Group (ANZ)-Roy Morgan Australian Consumer confidence dropped to the four-year low of 2.8% for the data collected during this weekend.
The Aussie pair recently dropped to the lowest since October 17 as the US dollar (USD) rose across the board. The market’s optimism surrounding phase one trade deal between the United States (US) and China seems responsible to the greenback’s latest rise. The same could be witnessed in Wall Street’s run-up to close at record highs. However, neither the AUD/USD pair nor the US 10-yeat treasury yields, now down two basis points (bps) to 1.75%, could benefit from market’s risk-on.
The Reserve Bank of Australia’s (RBA) Deputy Governor Guy Debelle is scheduled to speak on "Employment and Wages" at the Australian Council of Social Service National Conference in Canberra. Following that the US Federal Reserve (Fed) Chairman Jerome Powell will be speaking at the Providence Chamber of Commerce Annual Meeting in Rhode Island. Adding to the RBA/Fed speakers’ list will be RBA Governor Philip Lowe, around 09:05 GMT, followed by the Fed Governor Lael Brainard.
Although all of the RBA/Fed policymakers are up for a speech at different events than that hosted by the respective central banks, investors will seek confirmations of the recent weakness in data for near-term directions.
Other than the policymakers’ speeches, the US numbers concerning housing, manufacturing and Consumer Confidence will also be the key to watch.
Technical Analysis
Pair’s sustained trading below an ascending trend line since October-start, at 0.6795 now, directs it towards mid-October low near 0.6720. Alternatively, 21-day Exponential Moving Average (EMA) around 0.6820 can question the pair’s pullback beyond 0.6795 resistance line.
additional important levels
| Overview | |
|---|---|
| Today last price | 0.6777 |
| Today Daily Change | -9 pips |
| Today Daily Change % | -0.13% |
| Today daily open | 0.6786 |
| Trends | |
|---|---|
| Daily SMA20 | 0.6849 |
| Daily SMA50 | 0.681 |
| Daily SMA100 | 0.6832 |
| Daily SMA200 | 0.6931 |
| Levels | |
|---|---|
| Previous Daily High | 0.6804 |
| Previous Daily Low | 0.678 |
| Previous Weekly High | 0.6835 |
| Previous Weekly Low | 0.678 |
| Previous Monthly High | 0.693 |
| Previous Monthly Low | 0.667 |
| Daily Fibonacci 38.2% | 0.6795 |
| Daily Fibonacci 61.8% | 0.6789 |
| Daily Pivot Point S1 | 0.6776 |
| Daily Pivot Point S2 | 0.6766 |
| Daily Pivot Point S3 | 0.6752 |
| Daily Pivot Point R1 | 0.68 |
| Daily Pivot Point R2 | 0.6814 |
| Daily Pivot Point R3 | 0.6824 |


A Death Star was a moon-sized Imperial military battlestation armed with a planet-destroying superlaser.
The Death Stars, whose concept had been explored even before the Clone Wars, were the first in a long series of superweapons developed to execute the Tarkin Doctrine.
The Death Star was designed to allow Emperor Palpatine to more directly control the Galactic Empire through fear. In most instances, a Death Star was to be commanded by a Moff.


Candid Capture
Capture the best movements of life
Candid Capture is a tool made to capture the special movements of your lives at home.
Candid Capture uses IOT with a highly advanced emotion detector to capture fun moments at your home. We use a combination of your environment, audio and emotion to determin when to capture candid photos to brighten up your day.
Comprehensive overview of our functionalities
We use the face_api.js to detect your face location and then your expression which can range from joyful, sad to anger and disgust.
With Spotify integration we can play your favourite songs to lighten your mood.
No one likes a blurry picture. Our blur detection discards images that are blurry.
With our speech to text technology you can give speech commands to take pics on voice command..


Located on Clay Street, in NuLu, Louie’s Pizza is part of one of Louisville’s most lively neighborhoods. In close proximity to Downtown and near Washington Park, our NuLu pizzeria has a cool atmosphere suited for anyone looking to find a spot to hang out.
View MenuEnjoy the old-school ambiance, original wooden booths sentimentally etched by our loyal customers, the black and white art deco floors worn by time, turn of the century tin ceilings and faded murals tell tale of a bygone era.
We promise not to SPAM you, unless you want it on your pie! Data charges may apply if your still using dial-up or AOL.
Louie’s was founded in 1929 by Italian immigrant Louie Bianchi. Louie’s was Originally established on Main Street, in the Heart of Louisville. After losing his lease on Main Street, Louie Bianchi dismantled his original coal fired brick oven and moved it to 271 Clay Street where he continued to run and grow his business and refine his pizza recipe to perfection.
Bianchi ran his business until 1954 when he sold the pizzeria to the Romano Brothers. Augustine Romano bought the business from his brothers and he continued to own and operate Louie’s pizzeria until he passed away in 1984, passing his legacy on.


| Total net profit | 4.56 | Gross profit | 8.22 | Gross loss | -3.66 |
| Profit factor | 2.25 | Expected payoff | 0.46 | ||
| Absolute drawdown | 2.57 | Maximal drawdown (%) | 2.96 (39.36%) | ||
| Total trades | 10 | Profit trades (% of total) | 5 (50.0%) | Loss trades (% of total) | 5 (50.0%) |
| Long positions (won %) | 4 (50.0%) | Short positions (won %) | 6 (50.0%) | ||
| Largest | profit trade | 2.57 | loss trade | -2.03 | |
| Average | profit trade | 1.64 | loss trade | -0.73 | |
| Minimum | profit trade | 0.27 | loss trade | -0.14 | |
| Maximum | take profit in pips | 108.8 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 108.3 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 107.7 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 3981 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1734.8 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 206 | |
| Maximum | consecutive wins (profit in money) | 4.0 (6.15) | consecutive losses (loss in money) | 4.0 (-2.96) | |
| Average | consecutive wins | 2.0 | consecutive losses | 1.0 |
| Total net profit | 0.52 | Gross profit | 2.69 | Gross loss | -2.17 |
| Profit factor | 1.24 | Expected payoff | 0.13 | ||
| Absolute drawdown | 0.52 | Maximal drawdown (%) | 2.17 (80.67%) | ||
| Total trades | 4 | Profit trades (% of total) | 2 (50.0%) | Loss trades (% of total) | 2 (50.0%) |
| Largest | profit trade | 2.42 | loss trade | -2.03 | |
| Average | profit trade | 1.34 | loss trade | -1.08 | |
| Minimum | profit trade | 0.27 | loss trade | -0.14 | |
| Maximum | take profit in pips | 108.6 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 108.1 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 107.7 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 1934.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1378.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 572.0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (2.69) | consecutive losses (loss in money) | 2.0 (-2.17) | |
| Average | consecutive wins | 2.0 | consecutive losses | 2.0 |
| Total net profit | 4.04 | Gross profit | 5.53 | Gross loss | -1.49 |
| Profit factor | 3.71 | Expected payoff | 0.67 | ||
| Absolute drawdown | 2.57 | Maximal drawdown (%) | 0.79 (16.36%) | ||
| Total trades | 6 | Profit trades (% of total) | 3 (50.0%) | Loss trades (% of total) | 3 (50.0%) |
| Largest | profit trade | 2.57 | loss trade | -0.7 | |
| Average | profit trade | 1.84 | loss trade | -0.5 | |
| Minimum | profit trade | 0.89 | loss trade | -0.27 | |
| Maximum | take profit in pips | 108.8 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 108.3 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 107.7 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 3981.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1972.3 | |
| Minimum | Reward-Risk | Duration in minutes | 206.0 | ||
| Maximum | consecutive wins (profit in money) | 2.0 (3.46) | consecutive losses (loss in money) | 2.0 (-0.79) | |
| Average | consecutive wins | 1.0 | consecutive losses | 1.0 |


In double-entry there are two equal sides to every story –everything is always in balance.
Your earnings are balanced as follows:
|
Weekly $ {{vm.gameResults.AB.toFixed(0).toLocaleString()}} 100% |
Discretion | $ {{vm.gameResults.DSum.toFixed(0).toLocaleString()}} | {{(100 * vm.gameResults.DSum / vm.gameResults.AB).toFixed(0)}}% |
| Suspense | $ {{vm.gameResults.SSum.toFixed(0).toLocaleString()}} | {{(100 * vm.gameResults.SSum / vm.gameResults.AB).toFixed(0)}}% | |
| Reserve | $ {{vm.gameResults.R.toFixed(0).toLocaleString()}} | {{(100 * vm.gameResults.R / vm.gameResults.AB).toFixed(0)}}% |
Discretion is what you spend week-to-week.
Suspense are weekly contributions towards your regular commitments
Reserve are weekly contributions towards your goals, savings, and debt.
Planning, budgeting, and forecasting is a balancing act between what you need, what you want, and what you can afford. To achieve your objectives you must find the right balance.
Which will become your financial performance over time.
The last piece of the 5 years puzzle is to understand your cash starting position.


Colin Kaepernick Says He Wants Roger Goodell To ‘Stop Running From The Truth’ (VIDEOS)
by Darrelle LincolnFormer San Francisco 49ers quarterback Colin Kaepernick had many messages to get out when he hit the field on Saturday, but first he had to show off the skill he knew he still possessed and perfectly displayed in front of NFL scouts.

The owners weren’t the only ones he had a message for on this day as he called out Commissioner Roger Goodell as well.
“We’re waiting for the owners and Commissioner Goodell to stop running from the truth.”
Just as the workout started, the NFL released a statement in response to Kaepernick opting to do his own workout instead of the NFL-organized one. “We are disappointed that Colin did not appear for his workout. He informed us of that decision at 2:30 p.m. today along with the public,” the statement reads.
“Today’s session was designed to give Colin what he has consistently said he wants-an opportunity to show his football readiness and desire to return to the NFL,” the statement continues, before explaining 25 clubs were present for the workout. “Colin’s decision has no effect on his status in the League. He remains an unrestricted free agent eligible to sign with any club.”
Many pointed out how well Kaepernick looked during the live stream after missing three years of action.


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About PECVD
Plasma Enhanced Chemical Vapor Deposition (PECVD) is an excellent method for depositing a variety of thin films at lower temperatures and low pressure. It uses electrical energy to generate a glow discharge (plasma) in which the energy is transferred into a gas mixture. This transforms the gas mixture into reactive radicals, ions, neutral atoms and molecules, and other highly excited species. These atomic and molecular fragments interact with a substrate and deposit films on the substrate. In the field of Si thin film solar cells, PECVD mainly is used to deposit Si thin films which act as the photovoltaic conversion layers.
Ideal Energy PECVD System
Fig 1 Ideal Energy PECVD System
Ideal Energy’s PECVD System is consisted of five chambers which are one Load Lock In (LLI) chamber, one Load Lock Out (LLO) chamber and 3 Process Module (PM) chambers. The first PECVD system was successfully launched in December 2011 with all passed functional tests by customer. (Ideal Energy’s PECVD system picture shown as Fig.1)
- For large surface area thin film solar cells and specially designed for the 5th generation size (1.1m x 1.3m);
- Depositing tandem-junction (a-Si/μc-Si) solar cells in one tool (Three PM chambers: one for amorphous layer and other two for microcrystalline layers) without breaking vacuum to ensure highest level of process control with less heating and cooling steps;
- Advanced double-layer vacuum design for all three PM chambers. Each vacuum PM chamber has several self-contained deposition boxes which assure the consistency for each box’s deposition.
- Independent LLI & LLO chamber: Pre-heating LLI chamber and cooling in LLO chamber improve the pace of production; room temperature glass load-in and load-out minimize the surface contamination of glass and guarantee the operation safety.
- Robot in Vacuum system: compared with the system that has carrier system, our design avoids cross contamination
- Special design to eliminate cross contamination: the design eliminates the cross contamination between p-layer and i-layer, which can be finished in one chamber instead of in two chambers. This design reduces unnecessary transfer steps and accelerates the production pace too.;
- Large area, VHF technology route: IE is the first company in China using VHF RF technology for thin film solar technology. We have first-class RF expert team, based on our many years semiconductor experience, profound theoretical and experimental expertise, we successfully solved the VHF feeding problem and standing wave effect and finally improve the deposition rate of Si thin films;
- Stability and reliability: by introducing advanced semiconductor testing procedure, all our equipment parts and the whole system have been tested completely, and successfully passed the strictly testing requirements.
- Long maintenance cycle: Using PRS clean mothod to decrease the clean time and improve the pace of production.
- Advanced software controlling system: self-developed software and controlling software package; interfaces friendly, operation easily and data collection conveniently.
Advantages of Ideal Energy PECVD System
Fig. 2 Amorphous and Microcrystalline thin film layer deposited by Ideal Energy PECVD system
- High deposition rate: VHF to improve deposition rate, which can reach 10 Å/S.
- High uniformity of large area: Advanced VHF feeding technique, unique gas distribution and heating method insure the uniformity of the thickness is less than 8%.
- High consistency: advanced design insures consistency is less than 2% among solar modules which are deposited in one batch
- High Stability of process; Stability equipment insures the procee continuous and steady
- Fig. 2 is amorphous and microcrystalline thin film layer deposited by Ideal Energy PECVD system
Fig 3 Tandem-junction (Amorphous/microcrystalline) module produced by Ideal Energy PECVD system
- High photovoltaic conversion efficiency: together with IE’s LPCVD system, the stable solar cell efficiency manufacture by IE’s PECVD system is 10%;
- Weak Steabler-Wronski effect: based on our unique hardware configuration and optimized deposition processes, the Steabler-Wronski effect of Si tandem solar cells produced by IE’s system is less than 10%
- Super flexibility of crystallization adjustment: We can achieve the crystallinity rate from 0% to about 80% from amorphous to microcrystalline Si, which provide more space for later technology development in future.
- Less tact time: : tact time for tandem solar cell is 117s. One PECVD system produces 20MW or 30MW.


Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).
| Version: | 3.2.1 |
| Depends: | R (≥ 3.2.3), rJava (≥ 0.9-8) |
| Imports: | naturalsort (≥ 0.1.2), methods |
| Suggests: | testthat, mockr, StatMatch |
| Published: | 2018-04-16 |
| Author: | Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths] |
| Maintainer: | Herman De Beukelaer <herman.debeukelaer at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | Java JRE 8 or higher |
| Materials: | README NEWS |
| CRAN checks: | corehunter results |
| Reference manual: | corehunter.pdf |
| Package source: | corehunter_3.2.1.tar.gz |
| Windows binaries: | r-devel: corehunter_3.2.1.zip, r-release: corehunter_3.2.1.zip, r-oldrel: corehunter_3.2.1.zip |
| OS X binaries: | r-release: corehunter_3.2.1.tgz, r-oldrel: corehunter_3.2.1.tgz |
| Old sources: | corehunter archive |
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