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Use the QR Code above to add and vote for songs in this playlist!
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Please Input three values to check for the type of triangle they can make
MADE WITH 💌 by gkarumba © 2019


Creative Developer based in Charlotte, NC.
I'm Will Rebain (ree - beyn), a computer graphics artist and creative developer living in Charlotte, NC. I was first introduced to computer graphics when I was just 13 years of age. It all started by experimenting with an old copy of CorelDRAW. My expertise is in web design and development, user interface design, and human-computer interaction. I am seeking freelance and / or contract opportunities in all of these areas. Please see my resume if you are interested.
My digital tool box contains a few nifty toys for all of the tasks I may have for a particular client. My workflow could touch Photoshop, Illustrator, InDesign, After Effects, Pixate and Cinema 4D.
This is my main focus. I do scripting and programming in a variety of web and desktop languages such as HTML, CSS (SCSS, really), Javascript (and its many, many frameworks: Node, Angular, React, and Riot), PHP for the yester-years, and Python (for me!)
Feel free to contact me anytime for anything.


Introducing ProjectConnect
We want to help you help others!
Ever have an idea that you knew could make a difference in the lives of others? Have you ever discarded this idea in anticipation of all the work you simply couldn't finish by yourself? We want you to know that any idea that can make a difference is worth acting upon. ProjectConnect will help connect you with people who can help you accomplish your task or help those who want to contribute the world get connected to a project that motivates them. Fight apathy and change the world!
How?
By taking a simple survey about your interests, ProjectConnect will direct you to a chat group filled with people who share the same passion and who you work together with to make a difference NOW.
Have An Idea Already?
Simply upload your idea to the website with your email and contact information.
Accessibility
ProjectConnect will connect you with people living in your region so that meeting up and coming together to initiate your project will no longer be a problem.
Turn your ideas into a success
Still in doubt? View our success stories by clicking on the tab on the top of the webpage
Contact
This website was created by Amulya Balakrishnan, Annesha Datta, Diya Sethi, Sowmya Patapati and Shamini (Mini) Wadhwani. If you have any questions or concerns about this website, please feel free to contact us at the email: projectconnectus1@gmail.com!


Variables and Symbols¶
There is a convention on consistent variable names throughout the library:
| variable | description |
|---|---|
| tz | timezone |
| latitude | latitude |
| longitude | longitude |
| dni | direct normal irradiance |
| dni_extra | direct normal irradiance at top of atmosphere (extraterrestrial) |
| dhi | diffuse horizontal irradiance |
| ghi | global horizontal irradiance |
| aoi | angle of incidence |
| aoi_projection | cos(aoi) |
| airmass | airmass |
| airmass_relative | relative airmass |
| airmass_absolute | absolute airmass |
| poa_ground_diffuse | in plane ground reflected irradiation |
| poa_direct | direct/beam irradiation in plane |
| poa_diffuse | total diffuse irradiation in plane. sum of ground and sky diffuse. |
| poa_global | global irradiation in plane. sum of diffuse and beam projection. |
| poa_sky_diffuse | diffuse irradiation in plane from scattered light in the atmosphere (without ground reflected irradiation) |
| surface_tilt | tilt angle of the surface |
| surface_azimuth | azimuth angle of the surface |
| solar_zenith | zenith angle of the sun in degrees |
| apparent_zenith | refraction-corrected solar zenith angle in degrees |
| solar_azimuth | azimuth angle of the sun in degrees East of North |
| temp_cell | temperature of the cell |
| temp_module | temperature of the module |
| temp_air | temperature of the air |
| temp_dew | dewpoint temperature |
| relative_humidity | relative humidity |
| v_mp, i_mp, p_mp | module voltage, current, power at the maximum power point |
| v_oc | open circuit module voltage |
| i_sc | short circuit module current |
| i_x, i_xx | Sandia Array Performance Model IV curve parameters |
| effective_irradiance | effective irradiance |
| photocurrent | photocurrent |
| saturation_current | diode saturation current |
| resistance_series | series resistance |
| resistance_shunt | shunt resistance |
| tf | transposition factor, the gain ration of the radiation in inclinded plane to horizontal plane: \(\frac{poa\_global}{ghi}\) |
For an definition and further help on symbols and units refer to the following sources:
- Reference Variable List by PVPMC
- with technical focus in IEC 61724:1998 – Photovoltaic system performance monitoring - Guidelines for measurement, data exchange and analysis ; the Indian Standard referencing the global IEC standard is available online: IS/IEC 61724 (1998)
- with physics focus:
- Explanation of Solar irradiation and solar geometry by SoDa Service and partner pages (http://www.soda-is.com/, http://pro.soda-is.com/)
- Acronyms, Terminology and Units
- Plane orientations and radiation components
- Time references
- Units and conversion tool
- Terminology: definitions of the main quantities.
- Acronyms in solar radiation (more extensive list)
List Test acc. http://www.sphinx-doc.org/en/stable/rest.html#lists-and-quote-like-blocks
- This is a bulleted list.
- It has two items, the second item uses two lines.
- This is a numbered list.
- It has two items too.
- This is a numbered list.
- It has two items too.
- this is
- a list
- with a nested list
- and some subitems
- and here the parent list continues
| Treat | Quantity | Description |
|---|---|---|
| Albatross | 2.99 | On a stick! |
| Crunchy Frog | 1.49 | If we took the bones out, it wouldn’t be crunchy, now would it? |
| Gannet Ripple | 1.99 | On a stick! |
| Header1 | Header2 | Header3 |
|---|---|---|
| A | B | These lines appear as one line, even though they are written in two lines. |
| C | D | These lines appear as two lines,
but they are indented, and my OCD will simply not allow it.
|
| E | F | If I continue this line in another line,
it will appear in a new line. |
| G | H | If there is a blank line between the two lines, there will be a blank line between the lines. |


covidasean.Rmd
library(covidasean) #> Loading required package: tidyverse #> Warning: package 'tidyverse' was built under R version 4.0.3 #> -- Attaching packages --------------------------------------- tidyverse 1.3.0 -- #> v ggplot2 3.3.2 v purrr 0.3.4 #> v tibble 3.0.3 v dplyr 1.0.1 #> v tidyr 1.1.2 v stringr 1.4.0 #> v readr 1.3.1 v forcats 0.5.0 #> Warning: package 'forcats' was built under R version 4.0.3 #> -- Conflicts ------------------------------------------ tidyverse_conflicts() -- #> x dplyr::filter() masks stats::filter() #> x dplyr::lag() masks stats::lag()
This package contains shiny dashboard for comparing covid-19 outbreak in 5 ASEAN countries represented by Indonesia, Malaysia, Singapore, Philippines and Thailand. The data source is retrieved from tidycovid R package by Joachim Gassen and its period ranged from 2020-03-30 until 2020-10-13.
It also displays people’s mobility trend in these countries (originally sourced from Google’s Mobility report which covers mobility in workstations, parks, groceries, stations, recreations and residentials.
devtools::install_github("etc5523-2020/r-package-assessment-dedi0003", subdir = "covidasean")
We can access the dataset to self explore it via:
library(covidasean) library(tibble) covid_asean_df #> # A tibble: 221 x 53 #> iso3c country date confirmed deaths recovered ecdc_cases ecdc_deaths #> <chr> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 IDN Indone~ 2020-03-30 1414 122 75 1285 114 #> 2 IDN Indone~ 2020-04-04 2092<PHONE_NUMBER> 181 #> 3 IDN Indone~ 2020-04-09 3293<PHONE_NUMBER> 240 #> 4 IDN Indone~ 2020-04-14 4839<PHONE_NUMBER> 399 #> 5 IDN Indone~ 2020-04-19 6575<PHONE_NUMBER> 535 #> 6 IDN Indone~ 2020-04-24 8211 689 1002 7775 647 #> 7 IDN Indone~ 2020-04-29 9771 784 1391 9511 773 #> 8 IDN Indone~ 2020-05-04 11587 864 1954 11192 845 #> 9 IDN Indone~ 2020-05-09 13645 959 2607 13112 943 #> 10 IDN Indone~ 2020-05-14 16006 1043 3518 15438 1028 #> # ... with 211 more rows, and 45 more variables: total_tests <dbl>, #> # tests_units <chr>, soc_dist <dbl>, mov_rest <dbl>, pub_health <dbl>, #> # gov_soc_econ <dbl>, lockdown <dbl>, apple_mtr_driving <dbl>, #> # apple_mtr_walking <dbl>, apple_mtr_transit <dbl>, #> # gcmr_retail_recreation <dbl>, gcmr_grocery_pharmacy <dbl>, #> # gcmr_parks <dbl>, gcmr_transit_stations <dbl>, gcmr_workplaces <dbl>, #> # gcmr_residential <dbl>, gtrends_score <dbl>, gtrends_country_score <int>, #> # region <chr>, income <chr>, population <dbl>, land_area_skm <dbl>, #> # pop_density <dbl>, pop_largest_city <dbl>, life_expectancy <dbl>, #> # gdp_capita <dbl>, timestamp <dttm>, new_cases <dbl>, ave_new_cases <dbl>, #> # new_recovered <dbl>, ave_new_recovered <dbl>, new_deaths <dbl>, #> # ave_new_deaths <dbl>, ave_work <dbl>, ave_station <dbl>, ave_grocery <dbl>, #> # ave_recreation <dbl>, ave_parks <dbl>, ave_resident <dbl>, #> # workstations <dbl>, stations <dbl>, groceries <dbl>, recreations <dbl>, #> # parks <dbl>, residentials <dbl>
Or alternatively (and easier way), we can launch the dashboard directly using:
library(covidasean) launch_app()
The shiny dashboard consists of a control panel (left sidebar) and a main display. The main display has 3 different plots.
The first plot shows total new cases in 5 countries which can be clicked on to bring us to the second plot which details cases in the selected country. The third plot displays mobility trend which can be adjusted by several categories located on the control panel.
We can also check summary information for a particular country by selecting country name in the table plot of the control panel.


{% extends "layout_bsa_internal.html" %} {% block page_title %} Single User View {% endblock %} {% block after_header %}
Some content would go here for tab 2.
Some content would go here for tab 3.


2 Samuel 15:5
And it was so, that when any man came nigh to him to do him obeisance, he put forth his hand, and took him, and kissed him.


chunkwm is no longer in development because of a C99 re-write, yabai.
yabai was originally supposed to be the first RC version of chunkwm. However due to major architectural changes, supported systems, and changes to functionality, it is being released separately. There are multiple reasons behind these changes, based on the experience I've gained through experimenting with, designing, and using both kwm and chunkwm. Some of these changes are performance related while other changes have been made to keep the user experience simple and more complete, attempts to achieve a seamless integration with the operating system (when possible), proper error reporting, and yet still keep the property of being customizable.
chunkwm is a tiling window manager for macOS that uses a plugin architecture, successor to kwm. It represents windows as the leaves of a binary tree, and supports binary space partitioned, monocle and floating desktops.
chunkwm is supported on macOS High Sierra (10.13.6) and Mojave (10.14.5). Older versions may or may not be compatible and is not officially supported.
chunkwm uses a pid-file stored as /tmp/chunkwm_$USER-pid to keep multiple instances from being launched by the same user.
chunkwm uses a unix domain socket stored as /tmp/chunkwm_$USER-socket to listen for runtime commands.
chunkc is a program that writes messages on chunkwm's socket.
chunkwm does not handle any keyboard input. A third party program (e.g: skhd) is needed to map keyboard events to chunkwm actions.
For instructions on how to install chunkwm, visit the user's guide.
If you later decide that you no longer want to use chunkwm, it can easily be removed without leaving any trace. The method of uninstalling differs depending on the installation method of your choice. Both brew and macports are trivial to use for this purpose.
Both of my tiling window managers (kwm and chunkwm) have been heavily inspired by bspwm, and I'd like to thank baskerville for his project and for introducing me to an interesting tiling concept.


|
Linda
0.1
Linda is both a Light weight data Abstraction Layer built on PHP PDO, and also an Active-record based ORM
|
Linda is a Database Abstraction Layer for PHP Built on top PDO. More...
Public Member Functions | |
| __construct () | |
| setTable ($tableName) | |
| fetch ($fields, $queryConfig=array()) | |
| update ($fields, $queryConfig) | |
| put ($fields, $values) | |
| delete ($queryConfig) | |
| runQuery () | |
| count () | |
| countMatching ($columnName, $val, $operator="=") | |
| maxInColumn ($columnName) | |
| maxRow ($fieldName) | |
| min_in_column ($columnName) | |
| minRow ($columnName) | |
| sum ($columnName) | |
| getAll () | |
| getRowAtIndex ($index) | |
| numRows () | |
| peek () | |
| tail () | |
| even () | |
| odd () | |
| hasErrors () | |
| __destruct () | |
Data Fields | |
| $LINDA_ERROR = NULL | |
| $CURRENT_QUERY | |
| const | Linda_DB_HOST = LINDA_DB_HOST |
| const | Linda_DB_NAME = LINDA_DB_NAME |
| const | Linda_DB_TYPE = LINDA_DB_TYPE |
| const | Linda_DB_USER = LINDA_DB_USER |
| const | Linda_DB_PASSW = LINDA_DB_PASSW |
Protected Member Functions | |
| parseModel () | |
| sanitize ($inp) | |
| createInsert ($fields, $inserts) | |
| string_or_int ($val) | |
| queryBuilder ($mode, $fields, $queryConfig) | |
Protected Attributes | |
| $DB_LINK | |
| $TABLE_MODEL | |
| $MODEL_SCHEMA = array() | |
| $DEFAULT_LIMIT = 1000 | |
| $DEFAULT_START_INDEX = 0 | |
| $DISTINCT = FALSE | |
| $resultObject = NULL | |
| $lastAffectedRowCount = 0 | |
| $queryConfig = array() | |
Linda is a Database Abstraction Layer for PHP Built on top PDO.
| __construct | ( | ) |
| __destruct | ( | ) |
| count | ( | ) |
Counts the total number of rows in the table
| countMatching | ( | $columnName, | |
| $val, | |||
$operator = "=" |
|||
| ) |
Count the number of rows matching a value in a field, this method executes a query directly on the table and doesn't work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to count values from |
| string | $val | value to be matched |
| string | $operator | Optional operator to be used default in matching defaults to equals (=), other candidates are ( <, > , <>) |
|
protected |
| delete | ( | $queryConfig | ) |
| even | ( | ) |
Returns even indexes from the stored result set
| fetch | ( | $fields, | |
$queryConfig = array() |
|||
| ) |
The get method fetches data from the table
| array() | | string $feilds An associative array containing fields to get from the table, or the string * |
| array() | $queryConfig A configuration array, that contains option for the get operation |
@ $queryConfig = array(
"whereGroup" => array( [ "actor_id"=>array("value"=>5, "operator"=>"="), "last_name"=>array("value"=>"'%ER", "operator"=>"LIKE"), "comparisonOp"=>"AND", "nextOp"=>"OR" ], [ "actor_id"=>array("value"=>"last_name", "operator"=>"LIKE") ] ), "where_in"=>array( fieldName => "id", options => " 10, 15, 22, query => "", operator = > "AND" ), "innerJoinGroup" => array( [ table => "table_name", conditional_column_a => "column name" conditional_column_b => "column name" ], [ table => "table_name", conditional_column => "column name" ] ) , "limit" =>[ index => 2, count =>18 ], )
| getAll | ( | ) |
Returns the entire result set as an array array()
| getRowAtIndex | ( | $index | ) |
Returns the row at a particular index in the result set
| hasErrors | ( | ) |
| maxInColumn | ( | $columnName | ) |
Returns the maximum value on a field, this method executes a query directly on the table and doesnt work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to get the minimum value from |
| maxRow | ( | $fieldName | ) |
Returns row containing the maximum value of a particular column, this method executes a query directly on the table and doesnt work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to get the maximum value from |
| min_in_column | ( | $columnName | ) |
Returns the minimum value on a field, this method executes a query directly on the table and doesnt work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to get the minimum value from |
| minRow | ( | $columnName | ) |
Returns row containing the maximum value of a particular column,, this method executes a query directly on the table and doesnt work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to get the minimum value from |
| numRows | ( | ) |
Returns the total number of rows in the result set, or the numbers of rows affected by the last update/delete operation
| odd | ( | ) |
Returns odd indexes from the stored result set
|
protected |
| peek | ( | ) |
Returns the first row in the result set
| put | ( | $fields, | |
| $values | |||
| ) |
put inserts data into the table
| Array | $fields | An associative array, containing column names that matches the actual table |
| Array | $values | An associative array, values to be inserted per column, using NOW() or TIME(), inserts the date/time in either YMD format or YMD H:m:s format |
| type | $fields | |
| type | $queryConfig |
|
protected |
| runQuery | ( | ) |
|
protected |
| setTable | ( | $tableName | ) |
|
protected |
| sum | ( | $columnName | ) |
Returns the sum of values on a field/column, this method executes a query directly on the table and doesnt work on the retrieved/stored data - so you must have set the table using the setTable method, prior to calling
| string | $columnName | field to get the minimum value from |
| tail | ( | ) |
| update | ( | $fields, | |
| $queryConfig | |||
| ) |
| $CURRENT_QUERY |
|
protected |
|
protected |
|
protected |
|
protected |
|
protected |
| $LINDA_ERROR = NULL |
|
protected |
|
protected |
|
protected |
|
protected |
| const Linda_DB_HOST = LINDA_DB_HOST |
| const Linda_DB_NAME = LINDA_DB_NAME |
| const Linda_DB_PASSW = LINDA_DB_PASSW |
| const Linda_DB_TYPE = LINDA_DB_TYPE |
| const Linda_DB_USER = LINDA_DB_USER |


{{define "paste_authenticate_title"}}Authenticate{{end}} {{define "paste_authenticate_body"}}
Paste {{requestVariable . "id"}} is password-protected.
Paste {{requestVariable . "id"}} is password-protected. Unfortunately, you're not using an encrypted connection and you cannot be allowed access to it.


Frequently Asked Questions
Domande frequenti
Frequently Asked Questions
Got a question? We've got answers. If you have some other questions, see our support center.
Hai una domanda ? Abbiamo una risposta! Se non riesci a trovarla, contattaci !
Got a question? We've got answers. If you have some other questions, see our support center.
Subscription
Abbonamento
Subscription
I want to cancel my subscription. Voglio cancellare il mio abbonamento. I want to cancel my subscription.
You can cancel your subscription in StuSmart in anytime using our web platform that you can find at https://www.thestusmart.com.
Please note that by deleting your account you will not cancel your subscription.
To cancel your subscription log in and on the profile you will find the button “Delete Subscription”.
It will take 7 business days before it will be deleted.
Please note that by deleting your account you will not cancel your subscription.
To cancel your subscription log in and on the profile you will find the button “Delete Subscription”.
It will take 7 business days before it will be deleted.
Puoi cancellare il tuo abbonamento in qualsiasi momento usando la nostra piattaforma web, che puoi trovare a https://www.thestusmart.com.
Nota bene: Se cancelli il tuo account il tuo abbonamento non verrà cancellato.
Per cancellare il tuo abbonamento, log in e nel tuo profilo troverai cancella abbonamento.
Ci vorranno 7 giorni prima che venga cancellato.
Nota bene: Se cancelli il tuo account il tuo abbonamento non verrà cancellato.
Per cancellare il tuo abbonamento, log in e nel tuo profilo troverai cancella abbonamento.
Ci vorranno 7 giorni prima che venga cancellato.
You can cancel your subscription in StuSmart in anytime using our web platform that you can find at https://www.thestusmart.com
Please note that by deleting your account you will not cancel your subscription.
To cancel your subscription log in and on the profile you will find the button “Delete Subscription”.
It will take 7 business days before it will be deleted.
Please note that by deleting your account you will not cancel your subscription.
To cancel your subscription log in and on the profile you will find the button “Delete Subscription”.
It will take 7 business days before it will be deleted.
Having trouble canceling your subscription. Ho problemi a cancellare il mio abbonamento. Having trouble canceling your subscription.
If you are having any issue cancelling your subscription, please contact us at<EMAIL_ADDRESS>Make sure to write with the email that you subscribe with.
Make sure to write with the email that you subscribe with.
Se hai problemi a cancellare il tuo abbonamento, per favore contattaci a<EMAIL_ADDRESS>Scrivici con la mail con cui hai l’abbonamento.
Scrivici con la mail con cui hai l’abbonamento.
If you are having any issue cancelling your subscription, please contact us at<EMAIL_ADDRESS>Make sure to write with the email that you subscribe with.
Make sure to write with the email that you subscribe with.
Monthly subscription billing. Abbonamento mensile. Monthly subscription billing.
Monthly subscriptions will be billed at the beginning of the month.
L’ abbonamento mensile verrà pagato all’inizio del mese.
Monthly subscriptions will be billed at the beginning of the month.
6 Months subscription billing Abbonamento 6 mesi 6 Months subscription billing
Semester subscription at the beginning of 6 months.
L’abbonamento semestrale verrà pagato all’inizio dei 6 mesi
Semester subscription at the beginning of 6 months.
NotesMaker payment
Pagamento NotesMaker
NotesMaker payment
How much i will get paid ? How much i will get paid ? How much i will get paid ?
The payment doesn’t have a fixed amount.
A NotesMaker will take 50% of any users that subscribe under his course or in a subject that he/she is uploading.
Please note that if one or more NotesMaker are registered under the same course the revenue will be shared between the two NotesMaker.
A NotesMaker will take 50% of any users that subscribe under his course or in a subject that he/she is uploading.
Please note that if one or more NotesMaker are registered under the same course the revenue will be shared between the two NotesMaker.
Il pagamento che riceverai non è fisso.
Un NotesMaker riceverà il 50% del pagamento di ogni utente che si abbona sotto il suo corso.
Se più di un NotesMaker sono registrati sotto lo stesso corso i guadagni verranno divisi.
Un NotesMaker riceverà il 50% del pagamento di ogni utente che si abbona sotto il suo corso.
Se più di un NotesMaker sono registrati sotto lo stesso corso i guadagni verranno divisi.
The payment doesn’t have a fixed amount.
A NotesMaker will take 50% of any users that subscribe under his course or in a subject that he/she is uploading.
Please note that if one or more NotesMaker are registered under the same course the revenue will be shared between the two NotesMaker.
A NotesMaker will take 50% of any users that subscribe under his course or in a subject that he/she is uploading.
Please note that if one or more NotesMaker are registered under the same course the revenue will be shared between the two NotesMaker.
Where will I receive my money ? Dove riceverò i soldi ? Where will I receive my money ?
In order to process the payment we need your bank account information or your paypall account details.
You need to be sure that you have added the right bank account details ( IBAN, SWIFT and so forth ) or the correct paypall email address.
Please note that you agree to pay all the bank fees, related to the currency change or bank transfer fees.
You need to be sure that you have added the right bank account details ( IBAN, SWIFT and so forth ) or the correct paypall email address.
Please note that you agree to pay all the bank fees, related to the currency change or bank transfer fees.
Per processare il pagamento avremo bisogno delle tue informazioni bancarie o il tuo account paypall.
Devi essere certo che i tuoi dati siano corretti, o il pagamento non andrà a buon fine.
Nota bene: Tutte le tasse per il trasferimento e lo scambio di valuta sono a tuo carico.
Devi essere certo che i tuoi dati siano corretti, o il pagamento non andrà a buon fine.
Nota bene: Tutte le tasse per il trasferimento e lo scambio di valuta sono a tuo carico.
In order to process the payment we need your bank account information or your paypall account details.
You need to be sure that you have added the right bank account details ( IBAN, SWIFT and so forth ) or the correct paypall email address.
Please note that you agree to pay all the bank fees, related to the currency change or bank transfer fees.
You need to be sure that you have added the right bank account details ( IBAN, SWIFT and so forth ) or the correct paypall email address.
Please note that you agree to pay all the bank fees, related to the currency change or bank transfer fees.
When will I receive the money ? Quando riceverò i soldi? When will I receive the money ?
The monthly payment will be processed before the 15th of the following month.
Il pagamento mensile verrà processato prima del 15 del mese seguente.
The monthly payment will be processed before the 15th of the following month.
I did not receive the payment Non ho ricevuto il pagamento I did not receive the payment
If you don’t receive any payment, please contact us at<EMAIL_ADDRESS>Se non hai ricevuto il pagamento, per favore contattaci a<EMAIL_ADDRESS>If you don’t receive any payment, please contact us at<EMAIL_ADDRESS>Payment denied Cancellazione Pagamento Payment denied
Your payment might be denied if the score of your Notes is less than 4 starts.
If we discover that you have violated a third party copyright.
If you don’t upload Notes at least once a week. For more information about it read our Terms of Use.
If we discover that you have violated a third party copyright.
If you don’t upload Notes at least once a week. For more information about it read our Terms of Use.
Il tuo pagamento potrà essere cancellato se il punteggio dei tuoi appunti è minore di 4 stelle, o se hai violato copyright, o se non vengono caricati appunti almeno una volta alla settimana. Per maggiori informazioni leggi Terms of Use.
Your payment might be denied if the score of your Notes is less than 4 starts.
If we discover that you have violated a third party copyright.
If you don’t upload Notes at least once a week. For more information about it read our Terms of Use.
If we discover that you have violated a third party copyright.
If you don’t upload Notes at least once a week. For more information about it read our Terms of Use.
NotesMaker Tasks
Compiti NotesMaker
NotesMaker Tasks
How do i start ? Da dove comincio ? How do i start ?
Pick up your course, if you can not find you course email us. And give us all the details about courses and subject and we will upload it.
Once everything is uploaded you can start to post your notes.
Use the dashboard available on the back end. Choose a subject and upload your notes. Is super easy !
Once everything is uploaded you can start to post your notes.
Use the dashboard available on the back end. Choose a subject and upload your notes. Is super easy !
Scegli il tuo corso di studi, se non lo trovi mandaci una mail a<EMAIL_ADDRESS>o visita la pagina “carica appunti”.
Dacci tutti i dettagli del tuo corso e noi li inseriremo nel sistema.
Quando tutto è pronto potrai iniziare ad inserire i tuoi appunti, usando la dashboard nel back end. Scegli una materia e carica i tuoi appunti è facilissimo !
Dacci tutti i dettagli del tuo corso e noi li inseriremo nel sistema.
Quando tutto è pronto potrai iniziare ad inserire i tuoi appunti, usando la dashboard nel back end. Scegli una materia e carica i tuoi appunti è facilissimo !
Pick up your course, if you can not find you course email us. And give us all the details about courses and subject and we will upload it.
Once everything is uploaded you can start to post your notes.
Use the dashboard available on the back end. Choose a subject and upload your notes. Is super easy !
Once everything is uploaded you can start to post your notes.
Use the dashboard available on the back end. Choose a subject and upload your notes. Is super easy !
How often do I have to upload my notes ? Quanto spesso devo caricare gli appunti ? How often do I have to upload my notes ?
Notes has to be upload at least once a week.
You can also decide to upload your notes daily, you have to be sure you are giving an accurate description.
Gli appunti devono essere caricati almeno una volta alla settimana.
Puoi anche caricarli giornalmente.
Assicurati che abbiano una descrizione accurata.
Notes has to be upload at least once a week.
You can also decide to upload your notes daily, you have to be sure you are giving an accurate description.
How long the notes will be visible in the web site ? Per quanto tempo gli appunti saranno visibili nel sito web ? How long the notes will be visible in the web site ?
The notes will be visible in the web site until the professors or the studying material will not change.
If you uploaded the first semester, and now you are starting the second, you will receive money for any subscription under all the subject you had uploaded in the past.
If you uploaded the first semester, and now you are starting the second, you will receive money for any subscription under all the subject you had uploaded in the past.
Gli appunti saranno visibili nel sito web fin quando il professore o il materiale di studio non cambierà.
Se carichi il primo semestre di una materia, e stai iniziando il secondo, riceverai un introito per tutti gli abbonamenti anche dei semestri passati
Se carichi il primo semestre di una materia, e stai iniziando il secondo, riceverai un introito per tutti gli abbonamenti anche dei semestri passati
The notes will be visible in the web site until the professors or the studying material will not change.
If you uploaded the first semester, and now you are starting the second, you will receive money for any subscription under all the subject you had uploaded in the past.
If you uploaded the first semester, and now you are starting the second, you will receive money for any subscription under all the subject you had uploaded in the past.
Notes quality Qualità degli appunti Notes quality
Users who have subscribed they will decide the quality of the notes by giving a rating.
The notes that have less the 4 stars in average are not following our standards.
In some case they will be removed.
The notes that have less the 4 stars in average are not following our standards.
In some case they will be removed.
Gli utenti che si abbonano decideranno la qualità delle note attraverso un sistema di rating.
Gli appunti che hanno meno di 4 stelle di media non seguono i nostri standard. In alcuni casi le rimuoveremo
Gli appunti che hanno meno di 4 stelle di media non seguono i nostri standard. In alcuni casi le rimuoveremo
Users who have subscribed they will decide the quality of the notes by giving a rating.
The notes that have less the 4 stars in average are not following our standards.
In some case they will be removed.
The notes that have less the 4 stars in average are not following our standards.
In some case they will be removed.
What can I upload ? Cosa posso caricare ? What can I upload ?
Notemakers must not publish any content that is not a interpretation of his of course lecture or books.
Do not upload professors’s Audio, Video or Copyright material that does not belong to you.
Do not upload professors’s Audio, Video or Copyright material that does not belong to you.
Notemakers non devono pubblicare nessun contenuto che non è un interpretazione del suo corso o libro di studi.
Non caricare l’ Audio, Video or qualsiasi cosa ha un copyright e non appartiene a te.
Non caricare l’ Audio, Video or qualsiasi cosa ha un copyright e non appartiene a te.
Notemakers must not publish any content that is not a interpretation of his of course lecture or books.
Do not upload professors’s Audio, Video or Copyright material that does not belong to you.
Do not upload professors’s Audio, Video or Copyright material that does not belong to you.


Because the market volume of this item is so low, the pricing is based on pricing of the materials needed to make it.
| Item | Quantity | Market Volume | Single (sell) Single (buy) |
Total (sell) Total (buy) |
|---|---|---|---|---|
| {{$component.Type.Name}} | {{comma $component.Quantity}} | {{comma $component.Prices.All.Volume}} | {{commaf $component.Prices.Sell.Min}} {{commaf $component.Prices.Buy.Max}} |
{{commaf $component.Totals.Sell}} {{commaf $component.Totals.Buy}} |
| component price = ∑ (market-price(base-component) × quantity), … |


All Classes
BadRequestException
ErrorResponse
ExceptionResolver
NotFoundException
PlacesResponseDto
PlacesService
SwaggerConfiguration
Trip
TripApiApplication
TripController
TripCreateDto
TripRepository
TripService


RnBeads' age prediction module employs machine learning to infer age information from DNA methylation data. It can predict age from methylation data obtained by virtually any protocol that provides single base pair resolution methylation calls, extending previously developed methods for epigenetic age inference. In addition to Illumina's methylation array series, this is the first method to support bisulfite-sequencing assays. Here we outline the methods employed and describe the data sets that were used to infer predictors for different technologies in detail. A detailed tutorial on how to use epigenetic age prediction in RnBeads can be found here.
The age prediction module employs elastic net regression using the glmnet R-package. A transformed version of the annotated age as suggested by Horvath et al. is used as response variable to reflect different pacing in epigenetic changes in younger and older ages, while DNA methylation values at single CpGs are used as features.
Since prediction accuracy increases with the number of analyzed samples, we collected methylation data from multiple, publicly available studies to provide users with a basis for annotating their own samples (see below). From these data sets, we compiled training data sets and inferred age predictors using elastic net regression as described above. The resulting pre-defined predictors are available as CSV files in the RnBeads package and can be directly applied to user-provided data sets.
Predictors were trained based on data from the Illumina Infinium HumanMethylation27 BeadChip, its successor the Infinium 450 BeadChip and Reduced-Representation Bisulfite Sequencing (RRBS). Note that we did not include the Illumina MethylationEPIC BeadChip and Whole-Genome Bisulfite-Sequencing data due to the lack of large representative data sets (hundreds of age-annotated training samples are required). However, first applications of the pre-defined predictors to EPIC data showed performance consistent with what we describe here.
The Infinium 27k BeadChip training data set comprised 2,286 sample from 6 different studies, collected from the gene expression omnibus (GEO). A detailed description of the studied can be found in the table below. Mainly blood samples, but also colon samples are contained in the training data set, while the test data set only consists of blood samples. Applying the above workflow, we detected 366 CpG sites to be predictive of the donor’s age. Evaluation of the pre-defined predictor was based on 10-fold cross validation on the training data set and on the independent test data set. While cross validation resulted in a correlation of 0.958 and a median absolute difference (MADiff) of 3.23 years between annotated and predicted ages, performance on the test data set was 86 % correlation and MADiff 5.13.
Similarly, the training data set consisted of 1,866 samples from 20 studies, either from GEO or TCGA, and contained ages between 0 and 103 years. In addition to the majority of blood samples, kidney and brain tissues were included. An independent test data set comprising 1,007 mainly blood samples was used to evaluate performance of the pre-defined predictor, which selected 761 age-associated CpGs. In line with the findings for its predecessor chip, cross validation proved high predictive performance (correlation 0.95, MADiff 2.8 years) underpinned by the independent test data set (0.89 and 2.94 years).
This data set contains blood samples from 232 individuals of German origin covering an age range of 20-103 years. No independent test data set was available due to the still limited number of bisulfite studies addressing methylation changes associated with healthy human aging. Nevertheless, the feature selection method employed by RnBeads determines 156 sites associated with the aging process and cross validation showed reasonable predictive performance (correlation 0.93, MADiff 6.37 years)
The table below describes the data sets used in RnBeads' age prediction module both for training and testing purposes.
| Data Type | Use | Source | Accession | Size | Tissue | Donor characteristic |
|---|---|---|---|---|---|---|
| 27k | Training | GEO | GSE56606 | 90 | CD14-cells | diabetic |
| GSE41037 | 720 | blood, brain | healthy | |||
| GSE48988 | 178 | colon | aspirin intake | |||
| GSE58119 | 282 | blood serum | BRCA-1 mutation | |||
| GSE19711 | 540 | whole blood | healthy | |||
| GSE27097 | 398 | cord blood | pediatric | |||
| Training Data Set | 2,289 | |||||
| Test | GEO | GSE44763 | 46 | brain | obese | |
| Test Data Set | 46 | |||||
| 450k | Training | TCGA | BRCA | 96 | breast | breast carcinoma |
| ESCA | 16 | esophagus | esophageal carcinoma | |||
| GBM | 1 | brain | glioblastoma multiforme | |||
| HNSC | 50 | head and neck | head and neck squamous cell carcinoma | |||
| KIRC | 160 | kidney | kidney renal clear cell carcinoma | |||
| LIHC | 48 | liver | liver hepatocellular carcinoma | |||
| LUAD | 32 | lung | lung adenocarcinoma | |||
| LUSC | 42 | lung | lung squamous cell carcinoma | |||
| PAAD | 8 | pancreas | pancreatic adenocarcinoma | |||
| KIRP | 45 | kidney | kidney renal papillary cell carcinoma | |||
| GEO | GSE51057 | 177 | blood | all female | ||
| GSE41169 | 95 | brain | aging | |||
| GSE48472 | 45 | multiple tissues (e.g. blood, hair, omentum) | ||||
| GSE50498 | 48 | skeletal muscle | healthy | |||
| GSE41826 | 145 | brain | ||||
| GSE30870 | 40 | blood | newborns | |||
| GSE40360 | 46 | brain | multiple-sclerosis | |||
| GSE40279 | 656 | whole blood | ||||
| GSE48325 | 85 | liver | non-alcoholic fatty liver | |||
| Training Data Set | 1,866 | |||||
| Test | GEO | GSE34639 | 48 | CD4+-cells | newborns | |
| GSE53841 | 24 | blood | HIV-1 infection | |||
| GSE59457 | 130 | brain | HIV-1 infection | |||
| GSE67751 | 92 | blood | HIV-1 infection | |||
| GSE59505 | 24 | multiple tissues (e.g semen,saliva) | ||||
| GSE42861 | 689 | blood | rheumatoid arthritis | |||
| Test Data Set | 1,007 | |||||
| RRBS | Training | Kiel | NA | 232 | blood |


{% extends "empty_content.html" %}
{% block script_block %}
{% endblock %}
{% block section_name %}
GoT2Neo - House {{house.name}}
{% endblock %}
{% block content_visualization %}
| Region: |
{{house.region}} |
| Seat: |
{{house.seat}} |
| Words: |
{{house.words}} |
| Religion: |
{{house.religion}} |
|
Total Members:
|
{{house.alive_c_no + house.dead_c_no}}
|
|
Current Lord:
|
{{house.lord}}
|
|
Name
|
Status
|
{% for member in house.alive_characters %}
| {{member}} |
Alive |
{% endfor %}
{% for member in house.dead_characters %}
| {{member}} |
Dead |
{% endfor %}
{% for query in queries %}
{% endfor %}
{% endblock %}


Nova Scotia Duck Tolling Retriever
| Nova Scotia Duck Tolling Retriever Picture | |
| Breed Information | |
|---|---|
| Popularity | 2017: #892016: #872015: #99 |
| Name | Nova Scotia Duck Tolling Retriever |
| Other names | Toller, Scotty, Novie, Little River Duck Dog |
| Origin | Canada |
| Breed Group | Sporting (AKC:2003)Gun Dogs (UKC) |
| Size | Medium |
| Type | Purebred |
| Life span | 12-14 years |
| Temperament | AffectionateAlertCourageousEnergeticGentlePlayfulResponsive |
| Height | 17-21 inches (43-53 cm) |
| Weight | 37-51 pounds (17-23 kg) |
| Colors | RedRed Gold |
| Litter Size | 6-10 puppies |
| Puppy Price | Average $1800 - $2000 USD |
| Breed Characteristics | |
| Adaptability | 5 stars |
| Apartment Friendly | 5 starsThe Nova Scotia Duck-Tolling Retriever will do okay in an apartment if it is sufficiently exercised. This breed does well in cold climates. |
| Barking Tendencies | 3 starsOccassional |
| Cat Friendly | 3 stars |
| Child Friendly | 5 starsGood with Kids: This is a suitable breed for kids and is known to be playful, energetic, and affectionate around them. |
| Dog Friendly | 5 stars |
| Exercise Needs | 4 starsThe Nova Scotia Duck Tolling Retriever requires about an hour a day of strenuous exercise. It enjoys hunting or going for a walk, but swimming and retrieving are its favorite activities. |
| Grooming | 2 starsLow Maintenance: Grooming is only necessary once in a while to maintain upkeep. Occasional trimming or stripping needed. |
| Health Issues | 4 starsThis is a healthy working breed that is increasing in popularity. With its limited gene pool, a corresponding increase in some health dangers has occurred. Besides some thyroid and autoimmune problems, progressive retinal atrophy is starting to show up.Hypoallergenic: No |
| Intelligence | 2 starsRanking: (#). (See All Rankings) |
| Playfulness | 5 stars |
| Shedding Level | 3 starsConstant and Seasonal Shedding: Brush him daily during spring and fall, when he sheds heavily. As with most dogs, there is a certain amount of shedding year-round. Bathe him only as needed, which shouldn’t be more than a few times a year unless he rolls in something stinky. |
| Stranger Friendly | 2 stars |
| Trainability | 5 starsEasy Training: The Nova Scotia Duck Tolling Retriever is eager to work for its handlers, so training is usually straightforward. It learns quickly, but can grow bored easily if training is not dynamic. In addition to hunting and tracking, the Nova Scotia Duck Tolling Retriever excels at obedience and agility trials. |
| Watchdog Ability | 3 stars |
| Nova Scotia Duck Tolling Retriever Puppy Picture | ||
| Puppy Names | ||
|---|---|---|
| Rank | Male | Female |
| 01 | Max | Bella |
| 02 | Cooper | Chloe |
| 03 | Buddy | Daisy |
| 04 | Oliver | Bailey |
| 05 | Jake | Lola |
| 06 | Rocco | Luna |
| 07 | Toby | Emma |
| 08 | Tucker | Roxy |
| 09 | Buster | Coco |
| 10 | Riley | Stella |
| See All Names › |
| Overview |
|---|
|
Because Tollers run as much as they swim when hunting, they are smaller and more agile than most other retrievers. Their powerful yet compact build enables them to rush around tirelessly, leaping and retrieving with tail always wagging. The jaws are strong enough to carry a duck. Because they were bred to work in icy waters, they have a water-repelling double coat of medium length. A longer coat is not appropriate for a working dog, although the tail feathering should be long, adding to the emphasis of the wagging tail. A white blazeon the face, chest, tail tip or feet is characteristic, and may serve to make the dog's gamboling more noticeable to distant ducks. As befitting a dog bred to play and retrieve tirelessly, the Toller is very energetic and playful. You cannot throw a ball just once for a Toller! Everything they do is done with gusto, whether it's hunting, obedience, agility or just walking around the block. They are alert but not hyperactive, and can adjust to many circumstances. They are affectionate and gentle, but young Tollers can be overly boisterous at times. They are good with children, other dogs and pets. Tollers may be initially wary of strangers, but warm up quickly. They learn fast and are generally willing to please, but bore easily and then can be a bit stubborn. |
| History |
| The Nova Scotia Duck Tolling Retriever was developed in Nova Scotia in the early 19th century to toll (or lure) and retrieve waterfowl. The tolling dog runs, jumps, and plays along the shoreline in full view of flocks of ducks, occasionally disappearing from sight and then quickly reappearing, aided by the hunter, who throws small sticks or a ball for the dog. The dog's playful actions arouse the curiosity of the ducks swimming offshore and they are lured within gunshot range. The Toller is subsequently sent out to retrieve the dead or wounded birds. . The Nova Scotia Duck-Tolling Retriever was first recognized by the AKC in 2003. |


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SequenceParser Class
Definition at line
82
of
Composite.hpp
Constructors
SequenceParser
(
Parser
* left_,
Parser
* right_)
Member Functions
void
Accept
(
Visitor
& visitor)
override
Match
Parse
(
Scanner
& scanner,
ObjectStack
& stack,
ParsingData
* parsingData)
override
Constructor Details
SequenceParser Constructor
cmajor::parsing::SequenceParser::SequenceParser(
Parser
* left_,
Parser
* right_)
Definition at line
191
of
Composite.cpp
:
191
:
BinaryParser
(
U"sequence"
,
left_
,
right_
,
left_
->
Info
(
)
)
192
{
193
}
Declaration at line
85
of
Composite.hpp
Member Function Details
Accept Member Function
void
cmajor::parsing::SequenceParser::Accept(
Visitor
& visitor)
override
Definition at line
211
of
Composite.cpp
:
212
{
213
visitor
.
BeginVisit
(
*
this
)
;
214
Left
(
)
->
Accept
(
visitor
)
;
215
visitor
.
Visit
(
*
this
)
;
216
Right
(
)
->
Accept
(
visitor
)
;
217
visitor
.
EndVisit
(
*
this
)
;
218
}
Declaration at line
87
of
Composite.hpp
Base class overridden functions:
cmajor::parsing::ParsingObject::Accept
Calls:
cmajor::parsing::BinaryParser::Left
,
cmajor::parsing::BinaryParser::Right
,
cmajor::parsing::ParsingObject::Accept
,
cmajor::parsing::Visitor::BeginVisit
,
cmajor::parsing::Visitor::EndVisit
,
cmajor::parsing::Visitor::Visit
Parse Member Function
Match
cmajor::parsing::SequenceParser::Parse(
Scanner
& scanner,
ObjectStack
& stack,
ParsingData
* parsingData)
override
Definition at line
195
of
Composite.cpp
Declaration at line
86
of
Composite.hpp
Base class overridden functions:
cmajor::parsing::Parser::Parse
Calls:
cmajor::parsing::BinaryParser::Left
,
cmajor::parsing::BinaryParser::Right
,
cmajor::parsing::Match::Concatenate
,
cmajor::parsing::Match::Hit
,
cmajor::parsing::Match::Nothing
,
cmajor::parsing::Parser::Parse
,
cmajor::parsing::Scanner::Skip
index
|
up
|
prev
|
next


{% extends 'base.html' %}
{% block title %}About | {% endblock %}
{% block content %}
In June 2017, the aging MSDN subscriber portal was "taken offline", with the new Visual Studio Subcription portal only being accessible to subscribers.
The old portal was finally completely retired in October 2017, leaving many to wonder where to get information to verify digitally-delivered Microsoft products without a subscription.
This project aims to preserve the once publicly available MSDN hashes for reference purposes and make them easy to look up.
This site uses externally scraped data, which is updated on an ad-hoc basis.
There will be a delay between when new files are released by Microsoft before they show up here.
This site will not be offering any files for download.
It is simply a reference to ensure that files in your possession were the same versions distributed digitally by Microsoft.
There may be a couple of reasons for this:
About
Additionally, there are certain fields that are not easily filterable with the provided data, e.g. architecture (x86/x64).
FAQ
Where can I download files?
Why don't you have product XYZ?
Additionally, there cannot be full parity with the Visual Studio Subscriptions portal since the product data sources and schemas are different.
Beta products are removed after the corresponding release version is available. Unfortunately there may not be a chance to go back and salvage information about these products.
{% endblock content %}


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its not what we can do for you
its what you can do for you
hint hint pick us
branding
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- brand positioning
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- -ux / ui
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the "-" means we've taken the time to write a case study, give that mouse finger a workout.


--- layout: post title: RailsConf '07 keynotes on video categories: - sightings author: David published: true date: 2008-01-28 17:58:00.000000000 +00:00 ---
It took eons, but the videos recorded at RailsConf ‘07 are finally ready. These videos include all the keynotes from the conference. A great warm-up for 2008 as we’ll soon be opening for general registering on this year’s conference.


String creates structures full of content that link information together and make it more understandable.
It opens doorways to new information, new connections and different perspectives.
It's proven to help students remember more and gain a deeper understanding of topics, improving their performance in exams.
Previously the preserve of the best schools, String’s creators are considering making it available at home. If it appeals, simply register your interest below. If enough people want it, one of the world's most innovative learning platforms will be available to you too…
We will email you if we make the platform available publicly and let you know how you can access it. We won't contact you for any other reason, nor will we share your email address with anyone else.


General
Is the hexus discord still up, or was I banned?
(4)
Almost a week since whitelist
(2)
This Game Detects All Hexus Injection
(2)
Is v3rmillion down?
(2)
How do we use hexus?
(5)
Roblox has updated just to let u guys know
(5)
Cyber Source (Real)
(20)
Anime themes
(6)
Why just why
(
2
)
(22)
The hexus experience
(7)
Please owners
(10)
Any FE gear giver or FE gui?
(3)
3ds is back holy good god
(5)
How long do you think it will take for hexus to update (just curious)
(5)
Falsely banned again
(14)
Got banned from Hexus disc
(5)
Please
(15)
Please thanks if can
(6)
Why no update?
(8)
Wy no updet
(5)
25 hours wait and nothing
(12)
For the people who dont how to read zomedash/levi status for hexus here u go
(8)
>when hexus gets patched
(13)
Hexus patched? just asking
(4)
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Uhhh how i download the hexus?
(4)
Hexus discord link
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Ordered Hexus from electro bot, before the discord server went down
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{% include 'head.html' %}
Documents are automatically deleted after {{ collection_ttl/60/60 }} hours.


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DNN sites are created by adding one or more pages and then adding modules that display content onto those pages. Administrator, SuperUsers and user with Add permissions can add pages. Pages can be added by clicking Add New Page in the Pages menu of the ControlBar or via the Admin > Page Management page,


Match Play. Red trails 2-4 to 5 (post-Crawford). How should Red play 61?
pips Red=114 White=79
(CorrectAnswer= 0/0, ErrorScore= 0)
The key here is not to give up the anchor, thus giving White counterplay that he doesn’t deserve.
Red should complete his prime before leaving the anchor and so the correct play is the simple 9/2.
9/8, 7/1* doesn’t win enough extra gammons to warrant the risk, although it is close.
Red should complete his prime before leaving the anchor and so the correct play is the simple 9/2.
9/8, 7/1* doesn’t win enough extra gammons to warrant the risk, although it is close.
1. Cubeful 2-ply 9/2 Eq.: +1.286 0.858 0.285 0.014 - 0.142 0.040 0.000 2. Cubeful 2-ply 9/8 7/1* Eq.: +1.266 (-0.020) 0.791 0.342 0.014 - 0.209 0.077 0.001 3. Cubeful 2-ply 7/1* 5/4 Eq.: +1.260 (-0.025) 0.793 0.337 0.013 - 0.207 0.073 0.001 4. Cubeful 2-ply 7/6 7/1* Eq.: +1.230 (-0.056) 0.784 0.331 0.013 - 0.216 0.056 0.001 5. Cubeful 2-ply 7/1* 6/5 Eq.: +1.209 (-0.077) 0.780 0.324 0.012 - 0.220 0.075 0.001


‘Freedom of expression has its limits’: Watch Angela Merkel address German parliament
by Scroll StaffGerman chancellor Angela Merkel’s speech has sparked an age-old debate.
In an unusually emotional speech to the German Bundestag, Germany’s national parliament, German chancellor Angela Merkel talked of free speech in a way that has left some social media users confused (video above).
Describing a distinction between “extreme speech” and free speech, Merkel said that freedom of expression must “have its limits,” adding that without opposing extreme speech, “our society will no longer be the free society that it was.”
Germany has clamped extremely strict controls on social media companies, ordering steep fines and even imprisonment for inaction on hate speech.
Many have responded to the clip with the argument that freedom of speech and expression is either total, or it is not freedom at all. Others, however, feel that her views are balanced.
Here are some of the responses.
Also read
What is common to Narendra Modi, Angela Merkel, Donald Trump, Theresa May, Emmanuel Macron?
Can extreme speech online be regulated without curbing free speech? This series finds out
Also watch
‘Tear down walls of ignorance, nothing has to stay as it is’: Watch Angela Merkel speak at Harvard
Angela Merkel has a political problem on hand, but does she have an eyeroll problem too?


These control the basic rate of each {_sweep} generator, before modulation. The range is from one cycle every ten seconds, up to 30 cycles per second. There are also eight settings at the top of the range that synchronize the sweep to MIDI clocks received on any MIDI port, with different ratios.
Note: MIDI syncing disables rate modulation.
These are contained in the {Sweep_rate_cluster Sweep rate clusters} within the {Sweep_section}.
These are contained in the SWEEP section of the right panel, under the following parameter number:
| {sw-9.png height=48} |
These appear in the display as Sweep Rate.
These are accessed via the following {_NRPN NRPNs}:
| A | 1,5 | |
| B | 2,5 |
The slow values are shown as periods in seconds (s), while the faster values are shown in cycles per second (Hz).
| MIDI | display | ||
| 0 | 10s | (default) | |
| \b\n\b\n\b | \b\n\b\n\b | ||
| 48 | 1s | ||
| 49 | 1.05Hz | ||
| \b\n\b\n\b | \b\n\b\n\b | ||
| 119 | 30Hz | ||
| 120 | half note | ||
| 121 | half triplet | ||
| 122 | quarter note | ||
| 123 | quarter triplet | ||
| 124 | eighth note | ||
| 125 | eighth triplet | ||
| 126 | sixteenth note | ||
| 127 | sixteenth triplet |


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Govt worried over drop in number of whistle blowers
Nduka Chiejina and Clinton Njama
The number of whistle blowers willing to give information on the corrupt and related illegal activities has dropped, the Federal Government has said.
Between 2016 and 2018, the government saved about N594.08 billion with the removal of 50,000 ghost workers from its payroll following tip-off by whistle blowers.
Also, 800 others who were collecting double salaries and the 400 who had left service and were still collecting salaries for two years were discovered.
The Permanent Secretary, Special Duty in the Ministry of Finance, Budget and National Planning and head of the Presidential Initiative on Continuous Audit (PICA), Mr Mohammed Dikwa, made these known in Abuja on Thursday at a workshop to discuss the draft bill on the whistle blowing policy.
Dikwa said some intending whistle blowers were not comfortable with the new arrangement requiring them to fill forms to document their claims.
According to Dikwa, “the reported cases of whistle blowing or the tips used to come frequently on a daily basis when we just introduced it in November, 2016. When we started, we received 2,000 reported cases monthly but it has gone down now drastically.”
To address this, PICA, he said, had “instituted measures to avoid situations where people will come and give false information and get away with it.”
He added: “With what we are putting in place now, we will make sure anyone that gives information that has to do with recovery of money is rewarded. The same measure will ensure those who give fake information to undermine anybody are duly punished”.
Another challenge confronting the whistle blower initiative, he said, was the absence of legislation backing the policy. Dikwa said the government was committed to give the policy a legislative backing for smooth implementation.
Dikwa said the workshop was convened to interact with relevant stakeholders on the draft bill on the policy “that will be acceptable by all and sundry.”


A programming language is a human readable set of commands to communicate between machines and humans. It usually comprises of a set of instructions for the machine to perform specific tasks.
1st Generation Languages
machine-level language (0s and 1s)
no compiler (or translator) needed
used to program lower level functions of a system, such as drivers and interfaces with hardware
difficult to learn and understand errors difficult to find
2nd Generation Languages
Assembly languages
Allow for use of symbolic names
Can be read and written by a programmer
Language specific to particular machines (not portable)
Used in intensive processing in games, video editing, graphic manipulation/rendering
3rd Generation Languages
Word-like commands that make languages more programmer friendly
Known as high level languages
Compiler or interpreter needed
Programs independent from computer types (portable)
Tools in every language that let humans communicate with computers.
What makes one language different from another?
Syntax
Usage
Difficulty
What you want to build dictates what tools you should use.
Where are HTML and CSS?
Not programming languages
Markup Small pieces in a very, very big puzzle
Web Development: Frontend vs Backend
Frontend
What the user interacts with
HTML
CSS
JavaScript
Preprocessors
Client-Side Frameworks
Backend (Languages)
A vocabulary and set of grammatical rules for instructing a computer to perform specific tasks. Concerned with launching websites, maintenance, version updates etc. Popular languages include:
Java
Python
Ruby
PHP
JavaScript (NodeJS)
Backend (Databases)
Where you store information. A database is a structured set of data stored in a computer/machine that is accessible in various ways.
Relational
MSSQL
MYSQL
PostgreSQL
Non-Relation (NoSQL)
MongoDB
CouchDB
Redis
Frameworks
Programming frameworks work with languages to help you clean up and structure your code.
With frameworks you can develop better and faster!
They also make your code more maintainable, and easily upgradable
They allow programmers to save time by using generic modules in order to focus on other aspects of a web app
Types of Frameworks
There are two types of frameworks, client-side and server-side
Client-side = front-end languages and markup, mainly CSS and Javascript
Server-side = mainly used with back-end languages to bootstrap full web apps
Examples of Client-side Frameworks
CSS Frameworks
Bootstrap
Foundation
Pure
SASS Frameworks
Bourbon
Compass
Examples of Client-side Frameworks
Javascript Frameworks
Angular.js, Ember and React (Top 3)
Backbone, Knockout.js (older, popular frameworks)
Up and coming.lesser known frameworks include: Meteor, Can.js, Aurora and many more ...


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Manual Redirect


{% extends "site_template.html" %} {% block headerName %} Ari Morcos {% endblock %} {% block title %} Deep Learning Research - Ari Morcos {% endblock %} {% block sectionName %} Deep Learning Research {% endblock %} {% block content %}
Deep neural networks (DNNs) have proven themselves capable of learning to solve a wide range of difficult tasks. However, the solutions these networks use to solve these tasks remain poorly understood, earning DNNs their reputation as black boxes. Furthermore, our lack of understanding of DNN solutions means we also lack a clear understanding of their bottlenecks, making intelligent, scientifically motivated improvements extremely challenging. As a result, our field has largely improved DNNs through trial and error, distributed across hundreds, if not thousands, of groups across the world. This situation is akin to trying to build a clock without understanding how individual gears fit together.
Using rigorous, scientific methods (often inspired by neuroscience), my goal is to better understand the solutions used by DNNs and, perhaps most critically, their bottlenecks, so that we can intelligently design machine learning systems.
The incredible progress of the last few years has been driven by the dramatic increase in both parameters and datasets enabled by the success of self-supervised learning. My current primary focus is on understanding the properties of data which drive generalizable representations and how we can use these properties to guide better data design, enabling us to train better models, faster and and on less data.
In one recent study, we used neuron ablation to demonstrate that networks which generalize well are much more robust to perturbation of their hidden state than those which generalize poorly in a variety of contexts. We also showed that, though it may seem counterintuitive, dropout does not in fact regularize for this, yet batch normalization does.
We recently extended this work, using Canonical Correlation Analysis (CCA) to measure the similarity of networks with different random initializations. We found that networks which generalize converge to more similar solutions than those which memorize, and that wider networks converge to more similar solutions than narrow networks. Moreover, we found that across these contexts, the similarity of converged solutions was a strong predictor of test accuracy, despite the fact that it was computed based only on the training set.
Ultimately, our networks are only useful if they make accurate predictions in situations they've never seen before. As such, training networks which generalize is absolutely critical. However, the properties of learned network solutions which lead networks to generalize remain poorly understood.
In one recent study, we used neuron ablation to demonstrate that networks which generalize well are much more robust to perturbation of their hidden state than those which generalize poorly in a variety of contexts. We also showed that, though it may seem counterintuitive, dropout does not in fact regularize for this, yet batch normalization does.
We recently extended this work, using Canonical Correlation Analysis (CCA) to measure the similarity of networks with different random initializations. We found that networks which generalize converge to more similar solutions than those which memorize, and that wider networks converge to more similar solutions than narrow networks. Moreover, we found that across these contexts, the similarity of converged solutions was a strong predictor of test accuracy, despite the fact that it was computed based only on the training set.
Building intelligent systems will likely require teaching our models to build abstract representations of their environment. Systems which are capable of abstract reasoning will likely generalize better, not only to unseen similar situations, but to situations which overlap only in subtle, high-level ways. However, in order to optimize for abstract reasoning ability, we have to be able to measure it, both behaviorally and representationally.
To measure abstract reasoning behaviorally, we developed a task inspired by Raven's Progressive Matrices which allows for precisely controlled overlap between the train and test distributions. This enables us to measure which concepts in the task neural networks have abstracted and which concepts they haven't. While neural networks can currently perform some abstraction tasks well (like interpolation), the majority still remain well beyond their current capabilities.
We recently extended this work, finding that while architecture choice can influence generalization performance, choosing data for training such that plausible options most highlight the relevant concepts is critical. By choosing distractors in this manner, we were able to significantly improve generalization to novel test distributions.
To measure abstract reasoning representationally, we developed several new approaches in an investigation of Generative Query Networks (GQNs) to show that GQN representations were factorized with respect to various primitives, such as color and shape. As a clear example of analysis informing model design, we initially found that the GQN's representation was highly context-dependent, and used insights from this analysis to inform an intelligent design change which improved model performance.
The field of deep learning is full of assumptions and intuitions which have never been empirically tested. This has likely led to substantial research debt, as researchers attempt to build on reasoning which is often flawed. Testing these intuitions should enable faster iteration and progress, allowing us to iterate based on concepts we know are true, rather than concepts we just think are probably true.
Much of the focus on understanding neural networks, both in deep learning and in neuroscience has focused on the role of single units, based on the assumption that single units which are selective for task features are more important to the computation than those which exhibit more confusing response patterns. However, this assumption had remained largely untested until we recently evaluated the relationship between selectivity and unit importance. Surprisingly, we found that, for image classification tasks, selective units were no more important than non-selective units.
For years, much of the success of convolutional neural networks (CNNs), especially with respect to deformation stability, had largely been attributed to interleaved pooling layers. However, recent CNNs have nearly abandoned pooling altogether. By measuring deformation stability in CNNs with and without pooling, we found that the deformation stability conferred by pooling is actually too strong, and that networks converge to the same layerwise pattern of deformation stability regardless of whether or not pooling is present. Finally, we demonstrated that deformation stability is largely determined by filter smoothness rather than pooling.


--- layout: default lang: en pageId: namespacing-classes title: Namespacing classes description: Convention about namespacing classes in Proton products keywords: convention, namespacing, classes, example section: fe-conventions ---
Elements are written in CamelCase, separated by dashes.
.myComponent
.myComponent-container
.myComponent-child
.myComponent-stateDescriptionElement
.myComponent--modifier
(double dash).contactList
.contactList-container
.contactList-table
, .contactList-item
, etc..contactList-item-activeCursorContact
, .contactList-item-activeContact
, etc..contactList-item--important
, etc.If there are animations (for appearing/disappearing for example), please use this convention:
myComponentIn
and myComponentOut
.myComponentIn
and .myComponentOut


Sit tight. We're still building this site. We should have everything up and running soon.
Green House Stereo is a grunge folk-rock band formed in Black Hills of South Dakota. The members of Green House Stereo have been playing together for the past decade. With them, they bring a huge variety of influences, from Jimi Hendrix to The White Stripes, Bob Dylan, Leftover Crack, Elliott Smith, and Sublime.
Green House Stereo has recently come out of a two-year hiatus which resulted from a runaway frontman. During that time, the members of Green House Stereo formed several side projects, writing an abundance of new material and further developing the sound of the band in the process. With the return of the frontman, the members of Green House Stereo are beginning again.
The band is currently performing throughout the Black Hills.
News
| Event | Date |
|---|---|
| Green House Stereo is now booking shows throughout the western South Dakota region. For more information, visit our booking page. | 16 May 2016 |
| Green House Stereo will be performing at two festivals in Gillette, Wyoming this summer, Donkey Creek Festival and Brewfest. Head over to the shows page for more information. | 13 May 2018 |
Members
Dylan "Sherpa" Malik
Dylan's interest in playing guitar resulted from of his fondness of being loud. He is, in fact, widely accepted as the loudest thing in a 25-mile radius. Fortunately, Dylan is a true representation of unflinching talent. His unmatched sense for balance and timing is reflected in each Green House Stereo song.
Dylan is the lead guitarist of Green House Stereo.
Ryan "The Velvet Hammer" Suhr
No one is entirely sure where Ryan came from or where he is going next. He has been described as a gypsy, vagrant, vagabond, bohemian, and pest. Thankfully, he is just as vibrant, textured, colorful, and exciting in music as he is in life.
Ryan is the bassist of Green House Stereo.
Jonny "Big Bird" Williams
Jonny didn’t pick his alias, but nevertheless accepted it quietly and politely. He accepts his natural talents and abilities in the same way, moving from instrument to instrument and mastering each. He has been a constant progressive force for the sound of Green House Stereo. Jonny is meek, but never mild.
Jonny is the keyboardist, percussionist, and banjoist of Green House Stereo.
Dustin "Star Fucker" Grey
Dustin is a clumsy guitar player and probably the weakest member of Green House Stereo. He is a regular thief of the music created by the members of band and an irregular contributor to everything else in his life. He makes up for this by singing poorly, shouting loudly, kicking and flailing wildly, and always conducting himself with absolute honesty.
Dustin is the frontman and rhythm guitarist of Green House Stereo.
Cody "Juicy Jones" Smith
Cody Smith is the simple embodiment of energy. When the other members of Green House Stereo are threatening to lag behind and drift to sleep, Cody can be found, eyes wild and hands ablaze, hammering away on his kit.
Cody is the drummer of Green House Stereo.
Sydney "Lady Peckinpaw" Pollack
Sydney is the reluctant, official photographer and occasional fill-in rehearsal bassist for Green House Stereo. She believes her bio is entirely too boring.


Land at last
This project has been a voyage into the depths of Unity, the tidepool of VR development for the Oculus Quest, and the rapids of working together from isolation, all while managing our other classes and lives. We learned about the difficulties surrounding version control and Unity scenes the hard way, spent countless hours building our project to an APK, and were really challenged by the work it takes to make a multiplayer experience while maintaining a consistent worldview. Even in this last week, we were still learning new things from fixing the ship rotation that just doesn't seem to want to turn like we want it, and also from designing a Spatial room to showcase our project in a colocated augmented reality setting.
While our project was ambitious from the onset and we were humbled by relentless setbacks our tenacity to try one more prototyped system and, our ability to effectively discuss the priorities and quality of certain features is what has allowed us to accomplish our goals of a multiplayer experiences with the appearance of moving around a world with local physics for VR users to walk the deck of our custom model rigged vessel. Even though the journey is not over with many other treasures to be developed from our PDR, we are happy to finally pull into dry dock for a short shore leave.
- Work Log -
James: Implemented improved helm steering VR interaction, integrated new ShipActions script functions into SailController script. Created LoadingDock delivery mechanic.
Patrick: Fixed the ship’s sails for the nth time, restyled and added basic wave movement to the new water, polished our website and repository, upgraded the basic avatar, and created a basic script for the demo objectives
Abhinav: Added some additional islands in the environment to visit. Put together final demo video
Julian: Found and polished new player avatar assets. Fixed network ownership error with ship wheel, as well as adjusting or adding some scripts for other possible network interactions involved in keeping client side calculations between players consistent. Assisted with research for improved ship wheel mechanics. Created basic “tutorial signs” through blender.


I'm Maciej Kuprowski.
Test
Manager
,
Agile enthusiast
with a passion for
Test Automation
and
Continuous Delivery
.


galaxy_dive.analyze_data.gridded_data module¶
Subclass for analyzing particle data.
@author: Zach Hafen @contact<EMAIL_ADDRESS>@status: Development
-
class
galaxy_dive.analyze_data.gridded_data.
GriddedData
(sdir=None, snum=None, Nx=None, gridsize=None, ionized=None, ion_grid=False, **kwargs)[source]¶ Bases:
galaxy_dive.analyze_data.simulation_data.SnapshotData
Class for handling data that forms a Cartesian grid.
-
add_hubble_flow
()¶ Correct for hubble flow movement.
- Modifies:
- self.data[‘V’] : Accounts for hubble flow, relative to origin
-
base_data_shape
¶ Property for simulation redshift.
-
calc_HI_den
()¶ Calculate the HI density in cgs (cm^-3).
-
calc_H_den
()¶ Calculate the H density in cgs (cm^-3). Assume the H fraction is ~0.75
-
calc_abs_phi
(vector='total gas ang momentum')¶ The angle (in degrees) from some vector, but don’t mirror it around 90 degrees (e.g. 135 -> 45 degrees, 180 -> 0 degrees).
-
calc_ang_momentum
()¶ Calculate the angular momentum.
-
calc_column_density
(key, face)[source]¶ Calculate the column density for a targeted key.
Args – key (str) : The data to project. face (int) : The face to use. 0=yz, 1=xz, 2=xy.
Returns – key_col_den (np.array) : The column density in {key units}/cm^2. Assumes the grid uses fiducial GIZMO units.
-
calc_face_positions
(data_key)[source]¶ Calculate positions if you’re just looking at one face of a grid.
-
calc_inds
()¶ Calculate the indices the data are located at, prior to any masks.
-
calc_mu
()¶ Calculate the mean molecular weight.
-
calc_num_den
()¶ Calculate the number density (it’s just a simple conversion…).
-
calc_phi
(normal_vector='total ang momentum')¶ Calculate the angle (in degrees) from some vector. By default the vector is the total angular momentum.
-
calc_radial_distance
()¶ Calculate the distance from the origin for a given particle.
-
calc_radial_velocity
()¶ Calculate the radial velocity.
-
calc_rho_xy
()¶ Calculate impact parameter in the xy-plane.
-
calc_rho_xz
()¶ Calculate impact parameter in the xz-plane.
-
calc_rho_yz
()¶ Calculate impact parameter in the yz-plane.
-
calc_tangential_velocity
()¶ Calculate the radial velocity.
-
calc_velocity_magnitude
()¶ Calculate the radial velocity.
-
center_coords
()¶ Change the location of the origin, if the data isn’t already centered.
- Modifies:
- self.data[‘P’] : Shifts the coordinates to the center.
-
center_vel_coords
()¶ Get velocity coordinates to center on the main halo.
- Modifies:
- self.data[‘V’] : Makes all velocities relative to self.vel_origin
-
central_mask
¶ This mask is used when, for example, finding the velocity of the center of mass.
-
dN_halo
¶ Calculate dN_halo/dX/dlog10Mh or dN_halo/dz/dlog10Mh. X is absorption path length (see for example Ribaudo+11)
- time_units: ‘abs_length’- dN_halo/dX/dlog10Mh
- ‘redshift’ - dN_halo/dz/dlog10Mh
- R_vir: None - Default, assumes given.
- ‘BN’ Calculates R_vir from the mass and redshift
-
dist_to_point
(point, units='default')¶ Calculate the distance to a point for all particles.
point : np array that gives the point
-
get_data
(data_key, sl=None)¶ Get the data from within the class. Only for getting the data. No post-processing or changing the data (putting it in particular units, etc.) The idea is to calculate necessary quantities as the need arises, hence a whole function for getting the data.
Parameters: Returns: Requested data.
Return type: data (np.ndarray)
-
get_distance_to_point
(point)¶ This is not unit tested.
Parameters: point (array-like of shape (3,)) – The point you want to find the distance to for each particle.
-
get_position_data
(data_key)¶ Get position data (assuming the data starts with an ‘R’)
Parameters: data_key (str) – Key in the data dictionary for the key we want to get Returns: Requested data. Return type: data (np.ndarray)
-
get_potential
(point)¶ This is not unit tested.
Parameters: point (array-like of shape (3,)) – The point you want to find the potential at
-
get_processed_data
(data_key, data_method=<object object>, *args, **kwargs)¶ Get post-processed data. (Accounting for fractions, log-space, etc.).
Parameters: Returns: Requested data, including formatting.
Return type: processed_data (np.ndarray)
-
get_selected_data
(*args, **kwargs)¶ Wrapper for getting masked data.
-
get_velocity_data
(data_key)¶ Get position data (assuming the data starts with a ‘V’)
Parameters: data_key (str) – Key in the data dictionary for the key we want to get Returns: Requested data. Return type: data (np.ndarray)
-
halo_data
¶ Halo data used.
-
handle_data_key_error
(data_key)[source]¶ When get_data() fails to data_key in self.data, it passes the data_key to try and generate that data.
Parameters: data_key (str) – Key to try and generate data for - Modifies:
- self.data[data_key] (np.array) : If it finds a function to generate the data, it will do so
-
hubble_z
¶ Property for the hubble function at specified redshift.
-
iterate_over_method
(method_str, iter_arg, iter_values, method_args)¶ Iterate over a specified method, and get the results out.
Parameters: Returns: [ method( **used_args ) for used_args in all_variations_of_used_args ]
Return type: results (list)
-
length_scale
¶ Property for fiducial simulation length scale.
-
mask_data
(*args, **kwargs)¶ Wrapper for masking data.
-
metallicity_scale
¶ Property for fiducial metallicity scale. By default is z_sun However, a more advanced subclass might set this differently, or this might change in the future.
-
r_scale
¶ Property for scale radius.
-
r_vir
¶ Property for virial radius.
-
redshift
¶ Property for simulation redshift.
-
retrieve_halo_data
()¶
-
shift
(data, data_key)¶ Shift or multiply the data by some amount. Note that this is applied after logarithms are applied.
data : data to be shifted data_key : Data key for the parameters to be shifted Parameters are a subdictionary of self.kwargs ‘data_key’ : What data key the data is shifted for
-
total_ang_momentum
¶ Calculate the total angular momentum vector.
-
v_c
¶ Property for circular velocity.
-
v_com
¶ Property for the velocity of the center of mass.
-
velocity_scale
¶ Property for fiducial simulation velocity scale.
-


Network of
DrugBank
drugs
which have mention of term "methicillin", with their
targets
,
enzymes
,
transportes
, and
carriers
:
Graph rendered using
Cytoscape.js
library


WITNESS LIST Revenue & Public Education Funding, Select Committee April 14, 1997-11:00A School Finance- General On: Dunn, David (LBB) Tax Reform- General On: Daugherty, Craig (Comptroller's Office) Hamilton, Billy (Comptroller's Office)


Username:
Email:
Password:
Confirm password:
Name:
Address:
{{data.username}}
{{data.email}}
Company name:
{{data.companyName}}
Company address:
{{data.city}}, {{data.state}}


{% extends "base.html" %} {% block content %} {% if photo %}
| posted on {{ photo.date_posted|date }} at {{ photo.date_posted|time }} | (Properties) (Comments) (View on Flickr) {% with photo.get_next_by_date_posted as next %} {% if next %} (Next) {% endif %} {% endwith %} |


db-execute
Applies specified
DbUnit
datasets to database
Overview
]]>
Attributes
attribute
desc
example
Examples
Basic example
Empty table:
And following dataset files:
Datasets were applied to database:


Use One Of the following methods
- NPM
- Script Tag
In Your Project run npm install live-help
Add this script at the bottom of your page
Then you can place live-help anywhere
Live Help Takes a few attributes that are not mandatory
- Organization
- Color
This shows your organization's name. If not supplied, it defaults to 'Live Help'
This is the theme color to be used. It can either be a color name or a hex color code. If not supplied it defaults to 'Blue'


This NIST Science Data Portal page hosts access to a web based public API, Application Programming Interface. This API provides our user community the capability to dynamically query the underlying data resource catalog, a collection of key NIST research dataset descriptions (metadata), with network enabled computer programs. The portal search API leverages integration of standard metadata representations and indexing of domain services to enable discovery and data mining of the NIST research public datasets. In addition to the main portal API, this page includes a listing of individual key resource APIs hosted at NIST serving scientific domain expertise and access to the underlying datasets.


I.5 Building Operations Acquisition
Acquisitions – Building Operations (I.5.)
- The Building Operator initially acquires the property from the Building Developer. However, after this
initial acquisition the Building Developer may sell the building to another operator, and this may occur
several time over the economic life of the property.
- Similarly, the Building Operator may acquire the property from the Building Renovator who has updated the
property physically and re-marketed the property accordingly.
- The Building Operator needs a clear understanding of her investment objectives and strategy, so the
acquisition of the property can be evaluated in the context of the overall investment portfolio strategy.
Determine if the constructed building can be acquired at an attractive price and terms (holdbacks).
- The acquisition of a newly constructed building from a Building Operator usually requires some or all of the
following hold backs for unleased or unoccupied space:
- Tenant improvements
- Leasing commissions
- Economic earn outs.
- The vendor agreements and contracts should be transferable or cancellable as the case may be.
- All equipment warranties and guarantees should be transferred.
- The Building Developer and Renovator are not usually good candidates for seller financing because they need
to pay of their own construction loans.
- If the seller is another building operator, there my be opportunities for a creative financing in the form
of seller financing (purchase-money mortgages) or existing and assumable financing.
- Wrap-around mortgages are used when an existing mortgage is kept in place, and the seller makes a
purchase-money mortgage that is equal to the existing mortgage plus and additional amount. The seller, who
is now the wrap around lender, makes the payments on the existing mortgage while the buyer, now the
wraparound borrow, maonly one payment to the wraparound lender.
Determine if the property can be leased at expected rent levels (price & occupancy) during the lease-up
period.
- The Building Operator must estimate the probability of achieving both the rental rates and the
occupancy level during the lease-up period. This may include the provision of inducements such as free-rent,
additional tenant improvements, or moving costs reimbursements.
- The Building Developer must also assess the risk of re-leasing the property when existing tenants move
out.
Estimate if current market conditions will remain steady or improve during the expected lease-up and holding
period.
- Of course the market conditions will change during the Building Operators expected holding period, but the
question is whether the changes will increase or decrease the property’s value.
- Regional economic forecasts must be considered and evaluated.
- New and existing competitive properties must be identified and evaluated.
Determine if the building operations and technologies are efficient. (Identify areas of improvement).
- Building commissioning is a requirement for newly constructed buildings that are seeking a LEED
certification.
- Building commissioning confirms that all of the building operational systems are correctly installed and
operating appropriately.
- Every meter and monitoring device is checked for accuracy. This commissioning activity is all done prior to
occupancy. This is a major improvement over the good old days when new building systems were testing and
balance during the early stages of operation and occupancy.
- Building operators who are acquiring existing building from other building operators must verify the
operational efficiency as seeks out area that can be improved.
Determine if the expected tenants will flourish in the new building.
- Building operators must determine if the current tenants or the prospective tenants will be successful
businesses in the building.
- To some extent, the Building Operators must underwrite the business plans of the tenants and determine if
they are right for the building.
Determine if the expected financing terms can be improved over time.
- The Building Operator must underwrite the acquisition in terms of the best capital structure
for the property that include both debt and equity capital.
- The Building Operator must be forward looking to determine how the capital structure can be improved in the
future.
- Lower interest rate
- Long amortization periods
- Longer term loans
- Consolidate loans
- Lower Debt Coverage Ratios
- Higher Loan to Value Ratios
- New equity investors with lower return expectations