Represents an autoencoder.
More...
Inherits Autoencoder< Image, IError< Image >>.
|
| | ImageAutoencoder (ConvolutionalNN encoder, DeConvolutionalNN decoder, int codeSize, bool createIO=true) |
| | Creates an instance of the More...
|
| |
| override void | BackPropagate (Image outputError, bool learning=true) |
| | Backpropagates the given error trough the autoencoder. More...
|
| |
| override ILayer< Image, Image > | Clone () |
| | Creates a clone of the autoencoder. More...
|
| |
| override ILayer< Image, Image > | CreateSiamese () |
| | Creates a siamese of the autoencoder. More...
|
| |
| override void | Feed (Image input, Image output, bool learning=false) |
| | Feeds the autoencoder forward. More...
|
| |
| override float | FeedAndGetError (Image input, Image expectedOutput, Image error, IError< Image > errorFunction, bool learning) |
| | Feeds the autoencoder forward and gets its error, given its expected output. More...
|
| |
| override float | GetError (Image output, Image expectedOutput, Image error, IError< Image > errorFunction) |
| | Gets the error of the autoencoder, given its actual output and its expected output. More...
|
| |
|
| int | Depth [get] |
| | The depth of the input and the output of the layer. More...
|
| |
| int | Width [get] |
| | The width of the input and the output of the layer. More...
|
| |
| int | Height [get] |
| | The height of the input and the output of the layer. More...
|
| |
Represents an autoencoder.
◆ ImageAutoencoder() [1/2]
| NeuralSharp.Convolutional.ImageAutoencoder.ImageAutoencoder |
( |
ImageAutoencoder |
original, |
|
|
bool |
siamese |
|
) |
| |
|
protected |
Either creates a siamese of the given
ImageAutoencoder
class or clones it.
- Parameters
-
| original | The original instance to be created a siamese of or cloned. |
| siamese | if a siamese is to be created, if a clone is. |
◆ ImageAutoencoder() [2/2]
Creates an instance of the
ImageAutoencoder
class.
- Parameters
-
| encoder | The first part of the autoencoder. |
| decoder | The second part of the autoencoder. |
| codeSize | The size of the output of the encoder and of the input of the decoder. |
◆ BackPropagate()
| override void NeuralSharp.Convolutional.ImageAutoencoder.BackPropagate |
( |
Image |
outputError, |
|
|
bool |
learning = true |
|
) |
| |
Backpropagates the given error trough the autoencoder.
- Parameters
-
| outputError | The output error to be backpropagated. |
| learning | Whether the autoencoder is being used in a training session. |
◆ Clone()
| override ILayer<Image, Image> NeuralSharp.Convolutional.ImageAutoencoder.Clone |
( |
| ) |
|
Creates a clone of the autoencoder.
- Returns
- The created instance.
◆ CreateSiamese()
| override ILayer<Image, Image> NeuralSharp.Convolutional.ImageAutoencoder.CreateSiamese |
( |
| ) |
|
Creates a siamese of the autoencoder.
- Returns
- The created instance.
◆ Feed()
| override void NeuralSharp.Convolutional.ImageAutoencoder.Feed |
( |
Image |
input, |
|
|
Image |
output, |
|
|
bool |
learning = false |
|
) |
| |
Feeds the autoencoder forward.
- Parameters
-
| input | The image to be copied the input from. |
| output | The image to be copied the output into. |
| learning | Whether the autoencoder is being used in a training session. |
◆ FeedAndGetError()
| override float NeuralSharp.Convolutional.ImageAutoencoder.FeedAndGetError |
( |
Image |
input, |
|
|
Image |
expectedOutput, |
|
|
Image |
error, |
|
|
IError< Image > |
errorFunction, |
|
|
bool |
learning |
|
) |
| |
Feeds the autoencoder forward and gets its error, given its expected output.
- Parameters
-
| input | The image to be copied the input from. |
| expectedOutput | The expected output of the autoencoder. |
| error | The image to be copied the error into. |
| errorFunction | The error function to be used. |
| learning | Whether the autoencoder is being used in a training session. |
- Returns
- The error of the autoencoder.
◆ GetError()
| override float NeuralSharp.Convolutional.ImageAutoencoder.GetError |
( |
Image |
output, |
|
|
Image |
expectedOutput, |
|
|
Image |
error, |
|
|
IError< Image > |
errorFunction |
|
) |
| |
Gets the error of the autoencoder, given its actual output and its expected output.
- Parameters
-
| output | The actual output of the autoencoder. |
| expectedOutput | The expected output of the autoencoder. |
| error | The image to be written the error into. |
| errorFunction | The error function to be used. |
- Returns
- The error of the autoencoder.
◆ NewError()
| override Image NeuralSharp.Convolutional.ImageAutoencoder.NewError |
( |
| ) |
|
|
protected |
Creates an image which can be used as output error.
- Returns
- The created image.
◆ Depth
| int NeuralSharp.Convolutional.ImageAutoencoder.Depth |
|
get |
The depth of the input and the output of the layer.
◆ Height
| int NeuralSharp.Convolutional.ImageAutoencoder.Height |
|
get |
The height of the input and the output of the layer.
◆ Width
| int NeuralSharp.Convolutional.ImageAutoencoder.Width |
|
get |
The width of the input and the output of the layer.


We'll try and place you in your preferred schemes in the locations you select, in preference order.
However, scheme availability can vary and we can't guarantee that the schemes you've selected will be available in your preferred locations.
It's important to select each location that you could realistically work from, either by commuting or relocating.
Distances shown are estimates; some sites are spread across locations.


Sequence alignment was handled by BWA. Please cite:
Li H and Durbin R (2009)
Fast and accurate short read alignment with Burrows-Wheeler Transform.
Bioinformatics, 25:1754-60. [PMID: 19451168]
Analysis was performed via APIs from pysam, a wrapper around htslib and samtools. Please cite:
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J,
Homer N, Marth G, Abecasis G, Durbin R,
1000 Genome Project Data Processing Subgroup (2009)
The Sequence Alignment/Map format and SAMtools.
Bioinformatics, 25:2078-9. [PMID: 19505943]
| sample |
alignment rate |
alignment to loci rate |
loci coverage |
loci mean depth |
{% for sample, stats_dict in bam_stats.iteritems() %}
| {{stats_dict.samplename}} |
{{stats_dict.aln_rate}} |
{{stats_dict.loci_rate}} |
{{stats_dict.loci_coverage}} |
{{stats_dict.loci_mean_depth}} |
{% endfor %}
{% for locus, locus_map in loci_depths.iteritems() %}
{{locus_map['locus_name']}}
Depth across the locus
Depth about the locus end sites
{% endfor %}


Simple Interest Calculator
Amount
Rate
No. of Years
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Interest :
Compute Interest


RT @samphippen: "Agile, etc." is a medium I wrote about consulting, student software projects, etc. https://medium.com/@samphippen/agile-etc-b846a298bda2. Love if you ga…
11/7/2015, 11:46:00 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @samphippen: "Agile, etc." is a medium I wrote about consulting, student software projects, etc. https://medium.com/@samphippen/agile-etc-b846a298bda2. Love if you ga…
11/7/2015, 11:46:00 AM
Favs: 0
Retweets: 0
link


ALL THE KING'S HORSES
Copyright (c) 1976 John Conway
This game is played on the following 8x8 square board:
- BARN - The top left 2x2 cell area (marked in the diagram).
- HORSE - A horse moves one cell orthogonally and then one cell diagonally on the same direction (like the chess Knight).
- However, after the move, the horse must be closer to the barn.
- Several horses may occupy the same cell.
- SETUP - Define a number of horses. Then, at each turn, each player drops one of those horses on an empty cell.
- Let's assume a default value of 8 horses.
- MOVE - On each turn, each player moves all the horses.
- When a horse enters inside the barn it is removed.
- GOAL - Loses the player that remove the last horse.
An example With this position, the next player wins the game. He will remove three of the four horses (b5, b6 and d7) and move horse e6 to c7 (or d8).
The next player must remove that horse (moving it to a8) and lose the game.
This is a NIM-like game. Possible variants are: (i) wins the player that removes the last horse, (ii) only move one horse at a time and horses may not share cells (iii) use just one horse which can make four types of move (up then right or left, and west then up or down) and a stack of N stones. At the player's turn, he either move the knight or remove at least one stone from the stack. A player wins if, after his turn, the horse is in the barn and the stack is empty.
Another game is Wyt Queens which is basically the same game played with queens. Players drop several queens (each cell may contain more than one piece) and then each player moves a queen per turn. Queens may move North, West and North West. When all queens are at the top-left cell, wins the last player that moved.


--- title: Text vectorization layer type: docs repo: https://github.com/rstudio/keras menu: main: name: Text vectorization layer - keras parent: keras-reference aliases: - /reference/keras/layer_text_vectorization.html - /keras/reference/layer_text_vectorization.html - /guide/keras/reference/layer_text_vectorization.html - /tools/tools/keras/reference/layer_text_vectorization.html - /installation/keras/reference/layer_text_vectorization.html - /tutorials/keras/reference/layer_text_vectorization.html - /guide/tools/keras/reference/layer_text_vectorization.html - /deploy/keras/reference/layer_text_vectorization.html - /tools/keras/reference/layer_text_vectorization.html - /tutorials/tools/keras/reference/layer_text_vectorization.html ---
This layer has basic options for managing text in a Keras model. It transforms a batch of strings (one sample = one string) into either a list of token indices (one sample = 1D tensor of integer token indices) or a dense representation (one sample = 1D tensor of float values representing data about the sample's tokens).
layer_text_vectorization(
object,
max_tokens = NULL,
standardize = "lower_and_strip_punctuation",
split = "whitespace",
ngrams = NULL,
output_mode = c("int", "binary", "count", "tf-idf"),
output_sequence_length = NULL,
pad_to_max_tokens = TRUE,
...
)
| object | Model or layer object |
| max_tokens | The maximum size of the vocabulary for this layer. If |
| standardize | Optional specification for standardization to apply to the
input text. Values can be |
| split | Optional specification for splitting the input text. Values can be
|
| ngrams | Optional specification for ngrams to create from the possibly-split
input text. Values can be |
| output_mode | Optional specification for the output of the layer. Values can
be
|
| output_sequence_length | Only valid in "int" mode. If set, the output will have
its time dimension padded or truncated to exactly |
| pad_to_max_tokens | Only valid in "binary", "count", and "tfidf" modes. If |
| ... | Not used. |
The processing of each sample contains the following steps:
standardize each sample (usually lowercasing + punctuation stripping)
split each sample into substrings (usually words)
recombine substrings into tokens (usually ngrams)
index tokens (associate a unique int value with each token)
transform each sample using this index, either into a vector of ints or a dense float vector.


What deals to expect from Amazon's Black Friday 2019 sale — and the best early deals you can start shopping now, Business Insider - Business Insider Singapore
by Connie Chen, Business Insider US- While Amazon has Prime Day to offer great deals in the summer, it’s certainly not going to hold back during Black Friday.
- Amazon’s Black Friday deals will be live from November 22 through November 29. There are also a number of early holiday deals that are already live.
- Of course, all of Amazon’s popular devices and services (Echo, Fire TV, Ring, Whole Foods, Audible, etc.) will prominently be on sale. The latest Echo will be $60 ($40 off) and the Fire TV Stick with Alexa Voice Remote will be $20 (50% off).
- We’re also keeping tabs on the best deals available online at Walmart, Best Buy, Target, Nordstrom, The Home Depot, and more stores.
Black Friday is a big time of year to shop kitchen appliances, TVs, smart home devices, and other tech. You can shop Black Friday sales at a large variety of retailers, but more likely than not, you’ll find yourself lingering on one specific online shop: Amazon.
Amazon has already released early holiday deals on its HoliDeals page, which updates every day with new, limited-time deals. You can learn more about Amazon’s Black Friday deals and shop the best early holiday deals below.
The best early Amazon Black Friday deals
- Ecobee Smart Thermostat, $199 (originally $249) [You save $50]
- 23andMe DNA Test – Health + Ancestry, $99 (originally $199) [You save $100]
- Nikon D3500 DSLR Two Lens Kit, $447 (originally $597) [You save $150]
- Quility 60″ x 80″ 15-Pound Weighted Blanket, $89.70 with coupon (originally $129.70) [You save $40]
- TP-Link N300 WiFi Range Extender, $15 with coupon (originally $30) [You save $15]
When is Amazon’s Black Friday Deals Week?
This year, Amazon’s Black Friday Deals Week starts a little early: Friday, November 22. You can shop deals across a wide range of categories from November 22 through November 29. These include limited-time Lightning Deals.
Additionally, there will be new, one-time-only deals on Thanksgiving, Black Friday, and Cyber Monday.
Though Black Friday is technically on November 29, the holiday is part of a five-day period that Amazon calls “the Turkey 5.” Every year, it smashes previous sales records during the Turkey 5 – last year, Amazon sold more than 180 million items and the Echo Dot was the number one bestseller globally.
What Black Friday deals can you find on Amazon?
In addition to deals from top brands and small businesses, Amazon is sure to offer can’t-miss discounts on its own line of products and services. These include:
- Echo speakers
- Fire TV streaming devices
- Ring smart security cameras
- Whole Foods groceries
- Audible audiobook memberships
Big brands will have the same deals across all the major retailers (Target, Walmart, Best Buy), so where you shop those deals might come down to a matter of personal preference. Where Amazon sets itself apart is on the exclusive products and services above, as well as quick-moving, limited-time Lightning Deals and exclusive deals on its collection of Handmade items.
Why shop Amazon on Black Friday 2019?
The promises of free same-day and two-day shipping for Prime members make it all too tempting to stick to shopping on Amazon this Black Friday for all your personal and gifting needs. If you need a product at your door quickly, try looking for it on Amazon first.
Amazon has released early holiday deals ahead of Black Friday, including a preview of soon-to-be-released deals on many Amazon devices.
Shop the best ones below, and keep this page bookmarked to stay updated on more early and anticipated deals.
Live deal: Ecobee Smart Thermostat
Ecobee Smart Thermostat, $199 (originally $249) [You save $50]
The thermostat has Alexa built in, an innovative sensor that adjusts settings based on the current room occupancy and temperature, and a sleek touch display.
Live deal: 23andMe DNA Test – Health + Ancestry
23andMe DNA Test – Health + Ancestry, $99 (originally $199) [You save $100]
Learn all about your genes and ancestry with this convenient, at-home kit.
Live deal: Nikon D3500 DSLR Two Lens Kit
Nikon D3500 DSLR Two Lens Kit, $447 (originally $597) [You save $150]
The D3500 is a lightweight DSLR for entry-level photographers and this set bundles in two different types of lenses.
Live deal: Quility Weighted Blanket
Quility 60″ x 80″ 15-Pound Weighted Blanket, $89.70 with coupon (originally $129.70) [You save $40]
The duvet cover is removable so you can enjoy the anxiety-reducing comfort of this blanket no matter the season.
Live deal: TP-Link N300 WiFi Range Extender
TP-Link N300 WiFi Range Extender, $15 with coupon (originally $30) [You save $15]
It works with any wireless router or device with Wi-Fi, eliminating the frustrating experience of losing connection in certain areas of the house.
Amazon memberships
Stream music, listen to audiobooks, read ebooks, and watch your favorite shows and movies with these affordable Amazon memberships.
These deals will be live between November 22 and December 5:
- Amazon Music Unlimited: New members get four months for $0.99
- Audible: New members receive a bonus $15 Amazon credit and their first three months of an Audible membership at $6.95 a month – available from November 25 to November 27
- Kindle Unlimited: New members get three months for free
- Get $10 in eBook credit when you spend $30 on eBooks
- Prime Video: Prime members get 50% off rentals and purchases of new release movies – available from November 29 to December 5
Tablet and Kindle deals
There’s a tablet for every age group and budget. Pick up a Kindle device if you need an ebook reader.
- Fire HD 8, $50 (originally $80) [You save $30] – available November 22
- Fire HD 8 Kids Edition, $80 (originally $130) [You save $50] – available November 22
- Fire 7 Tablet, $30 (originally $50) [You save $20] – available November 22
- Fire 7 Kids Edition, $60 (originally $100) [You save $40] – available November 22
- Fire HD 10 Tablet, $100 (originally $150) [You save $50] – available November 22
- Kindle Paperwhite, $85 (originally $130) [You save $45] – available November 22
Echo deals
Many of Amazon’s Echo smart speakers and devices will be on sale, including the all-new flagship Echo speaker.
- Amazon Smart Plug, $5 when purchased as a bundle with Echo Dot, Echo Dot with Clock, Echo, Echo Show 5, or Echo Studio [You save $20] – available November 27
- Echo Dot with Clock, $35 (originally $60) [You save $25] – available November 28
- Echo Dot, $22 (originally $50) [You save $28] – available November 28
- Echo (3rd gen), $60 (originally $100) [You save $40] – available November 28
- Echo Show 5, $50 (originally $90) [You save $40] – available November 28
- Echo Show, $150 (originally $230) [You save $80] – available November 28
Security camera deals
You have two Amazon-owned security brands to choose from: Ring and Blink.
- Ring Video Doorbell Pro + Echo Show 5 bundle, $189 (originally $239) [You save $50] is $149.99 off – just $189.00 – available November 22
- Blink XT2 3 Camera Kit, $185 (originally $250) [You save $65] – available November 27
- Ring Indoor Cam 2 Pack, $100 (originally $140) [You save $40 off] – available November 27
Fire TV deals
Upgrade your at-home TV experience with a Fire TV streaming stick or device.
- Fire TV Stick with Alexa Voice Remote, $20 (originally $40) [You save $20] – available November 24
- Fire TV Cube, $90 (originally $120) [You save $30] – available November 24
Tech deals
Expect deals on phones, video game consoles, office equipment, and more.
These deals will be live between November 22 and November 29.
- Save on Samsung Galaxy S10 and Note 10
- Save up to 33% on select Nintendo Joy-Con
- Save on Xbox One
- Brother printers: Up to 50% off
- Corsair: Up to 40% off
- Netgear: Up to 45% off
- PlayStation 4 Slim 1TB bundle: Up to 33% off
Home and kitchen deals
All the best names in the home and kitchen business will be offering deals. Wait until Black Friday to buy kitchen appliances, cleaning appliances, and other tools.
These deals will be live between November 22 and November 29:
- Save on Instant Pot
- Save on Nespresso
- Save on Hamilton Beach
- Ecovacs: Up to 41% off the N79S and 36% off the Deebot 661
- KitchenAid: Up to 44% off
- SodaStream: Up to 30% off
- Vitamix: Up to 35% off
Fashion deals
Buy clothing gifts on sale, like sunglasses, watches, and activewear, during Amazon’s Black Friday sale.
These deals will be live between November 22 and November 29:
Adidas: Up to 35% off
Fossil smartwatches: Up to 35% off
Levi’s: Up to 40% off
Ray-Ban: Up to 50% off
Under Armour: Up to 40% off
Amazon brand deals
Amazon’s in-house brands, most notably AmazonBasics, are already very affordable, but they’ll be further discounted during Black Friday.
These deals will be live between November 22 and November 29:
- AmazonBasics: Up to 50% off men’s and women’s clothing, bed and bath, office furniture and supplies, kitchen electrics, luggage and travel
- Stone & Beam: Up to 30% off bed and bath, furniture, kitchen electrics and housewares
- Rivet: Up to 30% off bed and bath, furniture
Beauty and personal care deals
Deals we’ll be looking out for are electric toothbrushes, skin-care tools, and luxury beauty essentials.
- Philips Sonicare: Up to 45% off
- Up to 40% off luxury beauty, skin care, hair
Amazon Black Friday deals: Our predictions based on previous years
Below is a sampling of the best Black Friday deals from Amazon last year. We expect similar deals and featured brands during Black Friday 2019. Note: All prices reflect last year’s Black Friday deals.
- Kindle Paperwhite and six months of Kindle Unlimited, $129.99 (originally $189.93) [You saved $59.94]
- Amazon Echo (2nd Gen) $69 (originally $99.99) [You saved $30.99]
- Kindle Unlimited, $0.99 for 3 months (originally $29.97) [You saved $28.98]
- Roku Streaming Stick, $29.99 (originally $49.99) [You saved $20]
- Sonos One Smart Speaker with Alexa, $174 (originally $199) [You saved $25]
- Sony 65-inch 4K Ultra HD Smart LED TV, $998 (originally $1,398) [You saved $400]
- Philips Hue White and Color Ambiance A19 Smart Light Bulb Starter Kit, $79.99 (originally $149.99) [You saved $70]
- Samsung Galaxy S9, $519.99 (originally $719.99)[You save $200] AND Samsung Galaxy Note 9, $799.99 (originally $999.99) [You saved $200]
- Bose QuietComfort 35 Wireless Headphones II, $299 (originally $349) [You saved $50]
- Fitbit Versa Smartwatch, $149 (originally $199.95) [You saved $50.95]
- Rivet Queen Mattress, $399 (originally $499) [You saved $100]
- Instant Pot DUO60 6-Quart, $69.95 (originally $99.95) [You saved $30]
- ChefSteps Joule Sous Vide, $143 (originally $179) [You saved $36]
- iRobot Roomba 960 Robot Vacuum with Wi-Fi, $449 (originally $699) [You saved $250]
- Oral-B Pro 5000 SmartSeries Electric Toothbrush, $79.94 (originally $159.99) [You saved $80.05]
- AncestryDNA Test, $59 (originally $99) [You saved $40]


not empty:
more than 4:
less than 6:
between 4 and 6:
custom regex:
by function:
inclusion:
exclusion:
custom(date):


The main stuff
The Holy Grail Layout is a page with a header, footer, and three columns.
- The center column (main content) should appear first in the HTML source.
- All columns should be the same height, regardless of which column is actually the tallest.
- They should have a fluid center with fixed-width sidebars.
Let's make it happen.
main {
flex-grow: 1;
display: flex;
}
article {
flex-grow: 1;
}
nav, aside {
flex-grow: 0;
flex-basis: 25rem;
flex-shrink: 0;
}
nav {
order: -1;
}
What's happening here?
We are starting with telling the main element that aside from being a flex item (which is implied by the flex-grow property) - we want it to be a flex container.
Next we are telling the article element (a flex item of main) to take up all the white-space available
After that we are telling the nav and aside elements that they should be fixed. Never shrink, never grow. Always be at the specified flex-basis (or width).
Flex-basis???

The short answer is: Nothing! The default value for flex-basis is auto - which is like saying "Just look at my width and figure it out"
So what's the difference?
flex-basis is basically "width before remaining white-space is distributed between flex items". This means flex-basis is more of a guideline than an actual rule... (Get the reference?)
"This defines the default size of an element before the remaining space is distributed. It can be a length (e.g. 20%, 5rem, etc.) or a keyword."
...
"If set to 0, the extra space around content isn't factored in. If set to auto, the extra space is distributed based on its flex-grow value."
- Chris Coyier


|
SensESP 2.7.0
Universal Signal K sensor toolkit ESP32
|
Provides a cross platform mechanism for generating Pulse Width Modulation signals over one or more GPIO pins on the MCU. More...
#include <sensesp/system/pwm_output.h>
Public Member Functions | |
| PWMOutput (int pin=-1, int pwm_channel=-1) | |
| virtual void | set_input (float new_value, uint8_t pwm_channel=0) override |
| Public Member Functions inherited from sensesp::ValueConsumer< float > | |
| virtual void | set_input (float new_value, uint8_t input_channel=0) |
| void | connect_from (ValueProducer< float > *producer, uint8_t input_channel=0) |
Static Public Member Functions | |
| static int | assign_channel (int pin, int pwm_channel=-1) |
| static void | set_pwm (int pwm_channel, float value) |
Protected Attributes | |
| uint8_t | default_channel_ |
Static Protected Attributes | |
| static std::map< uint8_t, int8_t > | channel_to_pin_ |
Provides a cross platform mechanism for generating Pulse Width Modulation signals over one or more GPIO pins on the MCU.
This class works by defining a "PWM channel". GPIO pins are assigned to a channel, and then the channel is used when setting the pwm value. The pwm value is a float number between 0.0 and 1.0, interpreted as a percentage of the maximum duty cycle possible.
Channels can be auto-assigned to a pin or they can be declared explicitly in your code. The PWM value is set either by calling set_pwm()
, or by using an instance of PWMOutput
and calling the set_input()
method as defined in ValueConsumer<>
.
On an esp32, the "channel" corresponds to one of the timer channels available on the onboard chip. Explicit declaration of a channel may or may not be necessary depending on other libraries that you may be using. Unless you have a need to use an explicit channel (e.g. if some other software is already using a particular esp32 timer channel), the channel auto-assign feature is the easiest to use. In either event, using this channel number allows the same code to work on either platform.
Definition at line 32 of file pwm_output.h.
| sensesp::PWMOutput::PWMOutput | ( | int | pin = -1 , |
| int | pwm_channel = -1 |
||
| ) |
Creates an instance of a PWMOutput ValueConsumer.
| pin | The GPIO pin used to output the pwm signal. Pass -1 if this instance does not manage a specific pin. Using -1 is only valid if channel assignments have been explicitly made by calling PWMOutput::assign_channel() |
| pwm_channel | The pwm channel the GPIO pin is to be assigned to. Pass -1 if you would like the system to auto-select the next unassigned pin. |
Definition at line 15 of file pwm_output.cpp.
|
static |
Assigns the specified GPIO pin to the specified pwm channel.
| pin | the GPIO pin used for the pwm output |
| pwm_channel | The pwm_channel to the GPIO pin is assigned to. Passing -1 specifies you would like to use the next unassigned channel available. |
Definition at line 30 of file pwm_output.cpp.
|
overridevirtual |
Sets the duty cycle of the specified pwm_channel to new_value. If pwm_channel is zero, the channel assigned when the PWMOutput instance was instantiated will be used.
Reimplemented from sensesp::ValueConsumer< float >.
Definition at line 21 of file pwm_output.cpp.
|
static |
Sets duty cycle on specified pwm channel
| pwm_channel | The pwm_channel assigned to the GPIO pin |
| value | A number between 0.0 and 1.0, where 1.0 is the maximum duty cycle the output pin supports. |
Definition at line 54 of file pwm_output.cpp.
|
staticprotected |
Definition at line 73 of file pwm_output.h.
|
protected |
Definition at line 74 of file pwm_output.h.


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This package contains functions to compare the accuracy of two binary diagnostic tests in a "paired" study design, i.e. when each test is applied to each subject in the study.
| Version: | 1.0.3 |
| Depends: | gee, PropCIs |
| Published: | 2014-02-16 |
| Author: | Christian Stock, Thomas Hielscher |
| Maintainer: | Christian Stock <stock at imbi.uni-heidelberg.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Citation: | DTComPair citation info |
| Materials: | NEWS |
| CRAN checks: | DTComPair results |
| Reference manual: | DTComPair.pdf |
| Package source: | DTComPair_1.0.3.tar.gz |
| Windows binaries: | r-devel: DTComPair_1.0.3.zip, r-release: DTComPair_1.0.3.zip, r-oldrel: DTComPair_1.0.3.zip |
| OS X binaries: | r-release: DTComPair_1.0.3.tgz, r-oldrel: DTComPair_1.0.3.tgz |
| Old sources: | DTComPair archive |
Please use the canonical form https://CRAN.R-project.org/package=DTComPair to link to this page.


Export data from Tidepool
Step 1 : Go to your Tidepool page, enter your credentials and login
The url is : https://app.tidepool.org/login
Step 2: Click "View"
Step 3: Click the cogwheel to open your profile
Step 4:
Make sure to:
- Select the desired dataset
- The desired type of units (mg/dl or mmol/l
- Filetype MUST be set to JSON
Then click the export button.
Step 5: Select the file we just created in Tidepool
Step 6: Convert the data
The imported JSON data should be displayed in the text area. Click the convert-button to convert this data.
Step 7: Download (recommended) or copy the output to clipboard


Here is the list of blogs in the demo blog app. Click on one to see the posts. Click on the posts to see the details and comments. You can add and delete comments.
{{_selectedPost.postcontent}}


Dsch2 Commands
|
New | Open | Save | Save As | Select
Foundry | Make Verilog File | Schema to New Symbol | Properties
| Monochrome/Color | Print
Schema | Leave DSCH2 |
|
Edit |
|
Undo
| Cut | Paste | Copy | Move | Rotate
Left | Rotate Right | Flip
Horizontal | Flip Vertical | Line
| Connect | Text |
|
Insert |
|
View |
|
View
All | View Same | Zoom In
| Zoom Out | List of symbols
| Design Hierarchy | Electrical
Net | Critical path details | Timing Diagrams | Symbol Library
| Unselect all |
|
Simulate |
|
Check
Floating Lines | Find critical path | Start Simulation | Stop Simulation
| Simulation Options |
|
Help |
Update 25 Mars 2003


--- layout: page title: Monster Movie type: screening ---
Monster Movie
Text.
Color, Sound, Digital animation
Watch: https://www.youtube.com/watch?v=t1f3St51S9I


Page navigation is hidden in the embedded report and recreated by developer to allow custom branding or even automation to tell stories and navigate user.


Package 1
3000/-/person
- journey starts at 7AM
- 2days & 1 night
- single room
- complementary breakfast
- no lunch & dinner will be served
- no Wifi connection
- smoking zone
Buy Tickets now
Package 2
5000/-/person
- bus starts at 10am
- 3 days & 2 nights
- double bed with air conditioner
- Complementary breakfast
- free Wifi connection
-
- room services
- smoking zone
Buy Tickets now
Package 3
7000/-/person
- scania bus
- 4days & 3 nights
- family room with attached bathroom
- pool facilities
- bars and cafe
- free Wifi
- free breakfast
Buy Tickets now


Attention: This project is being moved to:
https://thomrl.github.io/Random/
Random Decider
I choose
-
Decide


I am Vinukshen Shantharoopan, but to keep life simple, I go by the name Vinu Ruban. I was born in Norway to a Sri Lankan family – my mother tongue is Tamil. I consider myself to be a creative, open-minded and out-going person. My favourite colour is blue – I'm sure you can tell from the design of this website!
After completing my A-Levels in 3 contrasting subjects – Mathematics, ICT and Art – I couldn't decide which field
I wanted to start my career in. I was determined to study a course that could widen my knowledge in various
fields, such as IT, Finance, Engineering, and thus chose BSc Mathematics! (which included a placement year
with TEFL Trainer in Spain)
Four amazing years of dreaming big and studying smart had me graduating with a First Class Honours!
It was through the demanding courseworks and projects completed at university, involving various programming languages, where I truly realised my passion for coding.
•••
After coming out of university, I decided to kickstart my career in the IT Industry. I completed three months of intensive training to become a proficient IT consultant, gaining knowledge and experience in both the development and testing side of software.
The training taught me about a collection of domains, ranging from front-end technologies such as JavaScript and React, to building professional standard Native Android apps in Java/Kotlin using Android Studio IDE.
I then got deployed to the following companies as a Tester: NETBuilder, BT, The Scottish Government.
Two years into my career, I realised my passion lies in development, especially in Mobile App Development. COVID-19 has been a tough time for everyone. However, I saw this as an opportunity to invest time into Android Development. I’ve built over 40 apps, including personal projects i.e. Pets Shelter app and recreated many high-profile apps, such as Uber, Snapchat and Twitter. Click here to watch demos on the apps I built.
Alongside this, I’ve strengthened my knowledge in other technologies looked for in a Senior Android Developer, ranging from backend services to unit testing tools, such as JUnit and Mockito.
•••
It all started during the time when MSN Messenger was active – I was well-known for creating fancy screen-names and customising the application layout. Never did I think that this fascination for adapting the physical design of MSN in a minor way would reveal itself to be a hidden interest for coding in the near future!
Music has been a huge part of my life culturally. From the young age of 10, I started learning the keyboard and
by 16, was ready to share my wisdom. My favourite musician is Yuvan Shankar Raja.
His music inspired my cousin and I to recompose many songs as covers, which can be found on Yuvan’s Circle – our YouTube channel.
We designed the emblem and cover page for our social media page on Microsoft PowerPoint and
used Windows Movie Maker for our first music video. Currently, we use Sony Vegas Pro 13 for professional quality
productions.
Ideally, we would like to develop this project into a potentially successful venture in the future
by experimenting with different professional software.
•••
If any of you met me over 5 years ago, you may remember me as the skinny guy with the appalling chinstrap. However,
over a period of 6 months or so, I put in hard work consistently to reach my goal at the time: increasing muscle
mass.
During this time I realised that gym training helped me balance my daily routine i.e. work-life, sleep
and diet. I had to sacrifice gym in my final year to ensure I focused all my physical and mental energy into
my education. Succeeding in that, I have now returned, motivated and ready with a new goal: to become a more
toned, leaner version of my current self and to follow a low-carb diet!
•••
I have been a huge Manchester United fan since I moved to the UK. I was lucky to have had a childhood watching
football in the era of the ruthless three: Ronaldo, Rooney and Tevez. We had gone onto win the
Premier League, as well as the famous Champions League in the 2007/2008 season! One of my biggest dreams as a child was to watch a
football match live at the stadium.
First Match: During my time in Barca, my best friend, Vashi and I went to Camp Nou to watch 2 matches. The first
was Barca vs. Eibar. We got to experience first-hand, the greatness of Messi and Neymar, alongside
the amazing atmosphere in the stadium. Barca won 4-2!
Second Match: The second game we watched was the friendly Barca Legends Vs. Man United Legends.
This marked a special day in my life as I got to witness the unimaginably talented Ronaldinho!
Third Match: On the 6th October 2018, we went to see a match where United played Newcastle at
home. There was so much pressure on the United players before the game as they had lost the
previous games, and this was a must-win game to keep up with the other title contenders. And I
must say, it was probably the best United game of the season! We were 2-0 down at the break, but
went on to win 3-2 in the last 20 minutes of the game! It fascinated me to see how true the loyalty
of United fans really was as they supported through the downfalls too. Old Trafford really is The
Theatre of Dreams, now more than ever.
I regularly meet up with friends to play football. I am left-footed, fast, and prefer playing on the right
wing. I love making long runs through the right channel, making long balls, and belting it straight into
the goal. Alongside football, I greatly involve myself in many other sports; fitness training, cycling,
running and more.
•••
Drawing is a skill that runs in our family's blood. The first piece of drawing I remember my father teaching me how to draw, was an airplane. Since then, I started to draw pictures that inspire me – some of my pieces are on my Instagram profile. I was shortlisted in the top 100 out of 1,639 entries for a Young Brits at Art competition, held in 2009 – click here to my see self-portrait on 'The Guardian'.
After moving to London from Norway, the first city I moved to independently was Coventry. The city being 2 hours
away from home meant I had to move away from my family for the first time. During those 3 years, I really
got to know and enjoy the city. This made me realise that there are hundreds of thousand cities in this world,
each with many hidden gems to discover!
Travelling to Barcelona for my placement year was the perfect opportunity
to really explore the city with Vashi and live like both a local and a tourist over nine months.
Click here to find out more. I have also
travelled to different cities for work purposes, such as Manchester and Brighton.
Travelling to various countries with the intention of understanding different cultures and appreciating
their lifestyle has become a hobby and long-term goal of mine. The one country I would love to visit is Malaysia
#BucketList.
•••
They say 'It's not what you know, it's who you know'. This statement holds so much weight! Networking can help
get us even further than dreams.
As a person, I used to be fairly shy but since having exposure to various
personal, educational and life situations, I have greatly improved my communication skills and confidence. Now
I love being the centre of attention (lol)! I network with people of great diversity and contrasting careers
and enjoy reading/hearing about how their experiences have moulded them to the people they are today.
Connect
with me on LinkedIn!
•••
These animals have grown on me over the years, especially every time I visited Sri Lanka. There you can see and interact with these beautiful animals on a daily basis. My long-term wish is to ride an elephant and admire the view amongst the herd. One of my hobbies over the years have been to collect elephant statues in every country I go to (when they are in sight!)
Living independently encouraged me to cook and explore overseas cuisines – from Sri Lanka's Biriyani to Spain's Paella. I like trying traditional dishes in all the countries I visit. I have even tried certain foods that most people would consider pretty gruesome e.g. Reindeer, Ostrich and Octopus!
I was born in Ullevål University Hospital in Oslo, Norway at 6:20am, to Ruban and Rohini. Over the next few years, our family expanded from 3 members to 5, with the arrival of my sister, Vidurshena and brother, Seyssanth.
In hope of a better education for my siblings and I, my parents chose to move to the UK. I found it very hard to settle in and pick up English from scratch. I went through 5 primary schools before becoming a moderate English speaker. By that time, I forgot how to speak my primary language – Norsk! I hope to one day be able to re-learn the language and hold casual conversations with native Norwegians.
Moving away from family for the first time was not easy. I had to do the dishes, pay bills and cook all by myself. However, I did become more independent and responsible. I would definitely recommend young people to experience living away from home at some point in their academic life.
After doing well in the first two years at my university, I realised it's not just education that would
help with my progression. I didn't have enough work experience, so I was actively looking for a placement
opportunity. After many applications, I finally secured a job with TEFL Trainer, as an English
teacher.
I taught students with different levels of English, which ranged from absolute beginners
to the most advanced level (almost native). See my LinkedIn page for an in-depth overview of my time TEFL Trainer.
Barcelona should be appreciated for it's hidden beauty. It's not a country you can explore in a few days. I made the most out of it with Vashi, who worked for TEFL Trainer as well. Besides the popular places in Barcelona, we asked our students for local places that we could also check out.
One of our favourite places was Bunkers – El Carmel. It's a mountain with the perfect height to see the whole of Barcelona in detail. We visited this places over 10 times and it was easily accessibile by bus, which was a bonus! We used to visit this place at around 9:30pm to catch the sunset. The view was breathtaking. We also caught the sunrise at Barceloneta Beach, which was sensational.
After living amongst the Spaniards, I noticed how the UK lifestyle is different to theirs. They are generally more relaxed and don't tend to stress over work as much. It's common for them to constantly change jobs and according to my students, there are many French and Italians who have come to Spain to work.
To put it in a nutshell, this was a very special year for me!
•••
It was the end to 4 years of hard work and valuable experience. University has taught me so much that will benefit me in both my personal and career life.
After realising that my interest and strength lies in the IT sector, I applied for and was taken onto the programme run by QA Ltd. This was my first official graduate job which was really exciting and a move I will not regret making!
 It was a proud moment to be graduating with a First Class Honours in Mathematics, at the Coventry Cathedral, in front of my family. A moment I had been looking forward to for as long as I can remember. Just minutes after graduating, I received a call from QA Consulting to inform me that I got accepted for the Software Test Analyst position with NETBuilder. It was a double treat for me!
After working hard and showing my ability during my training at QA Ltd, they gave me an opportunity
to work for their client, NETBuilder. My conduct and performance on the assessment day landed me the job! I was positive
and applied what I had learnt from previous experience to the Test Analyst role. On the first day of
work, the first day itself brought great news that we would be working on a project with one of their clients – BT!
At BT, I realised that their project required regular retesting and regression testing, so I introduced and developed a Test Automation framework for all the teams to follow. It is a Selenium project developed in Java using Eclipse IDE. This enabled the other testers to integrate their automation specific to their individual projects, into this one framework.
A year later, I worked for another client, The Scottish Government. I tested the infrastructure layer developed in AWS. All the Scottish Government’s services and applications are placed on this layer. I worked closely with the DevOps Engineers and gained valuable experience on the tools they used, such as Terraform, Jenkins and Git. I used Chef InSpec to automate tests.
•••


Your study has been assigned the unique identifier {{ requestedStudy }} Please refer to this identifier in any communication with the MetaboLights team.
Please use {{ requestedStudy }} when referencing this study in manuscripts etc. together with the URL www.ebi.ac.uk/metabolights/{{ requestedStudy }} Please also cite the following MetaboLights paper Haug et al. MetaboLights: a resource evolving in response to the needs of its scientific community. Nucleic Acids Research, gkz1019, doi:10.1093/nar/gkz1019, PMID:31691833. info The above information is sent to you by email.


| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDA
Latent Dirichlet Allocation
|
| LDAParam |
| LDASyn |
| LDASynParam |
| Class and Description |
|---|
| LDAParam |
| Class and Description |
|---|
| LDAParam |
| LDASynParam |


Widow of French Novelist Celine Dies Aged 107
by AGENCE FRANCE-PRESSEPARIS (AFP) — The widow of the highly regarded but hugely controversial French novelist Louis-Ferdinand Celine has died aged 107, over half a century after her husband, whose work she always defended, a family friend told AFP on Friday.
Lucette Destouches died overnight peacefully in her sleep, said David Alliot, a specialist on Celine and author of the biography “Madame Celine,” who was close to Destouches.
Celine is revered by many in France and beyond for an innovative style which incorporated street language into literature, notably in his most famous work, “Journey to the End of the Night” in 1932.
But his reputation was sullied by his collaboration with the Nazis during the occupation of France in World War II, during which he wrote virulently anti-Semitic pamphlets.
Celine and Destouches fled France after the D-Day landings in Normandy in 1944 and he was later convicted in absence of collaborating with the Nazis. The couple returned to France in 1951.
He died in 1961 but Destouches never tired of seeking to revive his reputation in hope that posterity would be kinder to him.
French publisher Gallimard sparked controversy last year by announcing plans to reissue a collection of the violently anti-Semitic pamphlets but then shelved the idea in the face of public outrage.
Celine himself had said he did not want the pamphlets to be reissued, but a lawyer for Destouches gave consent for a reprint after she gave her permission after years of opposition.
A former dancer, Destouches refused to have her picture taken from the late 1960s onwards. “It is Celine who matters, me I am nothing!” she once said.
In August 2018, Destouches sold their home in Meudon, southwest of Paris, reportedly to pay her debts. She and Celine had moved there in 1951.
Born Lucie Almansor, she met Celine, whose real name was Louis Ferdinand Auguste Destouches and 20 years her senior, at a dance studio in 1936. They married in 1943.
© Agence France-Presse
Copyright © 2019 courthousenews.com


flixel.effects.FlxFlicker
- type
- class
The retro flickering effect with callbacks.
You can use this as a mixin in any FlxObject subclass or by calling the static functions.
Static Methods
- parameters
Object
The sprite.
Duration
How long to flicker for.
Interval
In what interval to toggle visibility. Set to FlxG.elapsed if <= 0!
EndVisibility
Force the visible value when the flicker completes, useful with fast repetitive use.
ForceRestart
Force the flicker to restart from beginnig, discarding the flickering effect already in progress if there is one.
?CompletionCallback
An optional callback that will be triggered when a flickering has finished.
?ProgressCallback
An optional callback that will be triggered when visibility is toggled.
- parameters
Object
The object to test.
- parameters
Object
The object to stop flickering.


Parisalexa Debuts New "2 Real" Track
Parisalexa continues to
by Milca P.2 Real
Parisalexa
Editor Rating: HOTTTTT
User Rating: hottttt - 75% (4)
Singer Parisalexa is gradually emerging from the label of Seattle's best-kept secret to a strong name in the realm of R&B's upstarts. Fresh off a work with Xavier Omar, Sango, and Tuxedo, Paris now touches down with her own "2 Real" offering.
"When I wrote this song I was fed up," she reveals in a statement. "I felt betrayed by people that I put my trust in (men, friends, collaborators) and I really took a moment to reevaluate my expectations of others. I reassessed a lot of relationships, and fortunately met new friends that reciprocated what I was putting out. They showed me that not everyone is fake, not everyone says they're going to do something and doesn't do it. So that’s where I am now; too genuine for the average friendship, too deep for a surface level relationship. And I’ve learned my true value. No matter what the vibe around me is, I'm perfectly fine with being too real."


Match Play. Red leads 5-1 to 7. How should Red play 65?
pips Red=139 White=157
(CorrectAnswer= 0/0, ErrorScore= 0)
Hopefully nobody wanted to double this! While it is a pass for money (it is a blunder to take) it would be an octuple blunder to double at this score.
Red needs to play for an undoubled gammon, at least for the moment. 24/13 is too weak as it doesn’t add any more firepower for Red’s bar-point. Slotting Red’s bar-point is too aggressive, the extra blot is unnecessary.
16/10, 13/8 is reasonable as it adds builders but it does nothing to solve the problem of freeing the rear checkers.
The correct, and balanced play, is 24/28, 16/11 which starts to address all of Red’s game plan elements. The rear checker is partially freed, only one blot is subject to attack, a builder is added for the bar-point and there is pleasing duplication of White’s threes. Any play other than 24/18, 16/11 is at least an error.
Red needs to play for an undoubled gammon, at least for the moment. 24/13 is too weak as it doesn’t add any more firepower for Red’s bar-point. Slotting Red’s bar-point is too aggressive, the extra blot is unnecessary.
16/10, 13/8 is reasonable as it adds builders but it does nothing to solve the problem of freeing the rear checkers.
The correct, and balanced play, is 24/28, 16/11 which starts to address all of Red’s game plan elements. The rear checker is partially freed, only one blot is subject to attack, a builder is added for the bar-point and there is pleasing duplication of White’s threes. Any play other than 24/18, 16/11 is at least an error.
1. Cubeful 2-ply 24/18 16/11 Eq.: +0.703 0.731 0.242 0.022 - 0.269 0.061 0.001 2. Cubeful 2-ply 16/10 13/8 Eq.: +0.666 (-0.038) 0.717 0.277 0.027 - 0.283 0.066 0.002 3. Cubeful 2-ply 24/13 Eq.: +0.655 (-0.049) 0.719 0.233 0.019 - 0.281 0.065 0.001 4. Cubeful 2-ply 16/11 13/7 Eq.: +0.633 (-0.071) 0.712 0.281 0.027 - 0.288 0.075 0.003 5. Cubeful 2-ply 16/5 Eq.: +0.592 (-0.111) 0.698 0.262 0.024 - 0.302 0.071 0.002


1 Say: I seek refuge in the Lord of the Daybreak
2 From the evil of that which He created;
3 From the evil of the darkness when it is intense,
4 And from the evil of malignant witchcraft,
5 And from the evil of the envier when he envieth.


${head}
${navbar}
${_('Search')}
${_('Search Immediately')}
${_('Search immediately after adding movie')}
${_('Grab Best Release')}
${_('Automatically grab best release')}
${_('Verify Availability')}
${_('Disabled')}
PreDB
PreDB (include unknown)
${_('Home Media Release Date')}
${_('Skip verification if Movie is older than [X] weeks')}
${_('Sync RSS Every [X] Minutes')}
${_('Wait [X] Days To Grab')}
${_('Skip Wait if Movie is Older than [X] Weeks')}
${_('Keep Searching [X] Days for Best Release')}
${_('Re-Grabbed Releases Must Score [X] Points Higher')}
${_('Preferred Source')}
${_('None')}
${_('Torrent')}
${_('Usenet')}
${_('Torrents Must Have [X] Seeds')}
${_('Add [X] Points to Freeleech Torrents')}
${_('Require Freeleech')}
${_('Require torrents to be Freeleech')}
${_('Add [X] Points to Torrents with more than [Y] Seeds')}
${_('Points')}
${_('Seeds')}
${_('Add [X] Points to Torrents with more than [Y] Leechers')}
${_('Points')}
${_('Leechers')}
${_('Usenet Server Retention')}
${_('Days')}
${_('Allow Adult')}
${_('Allow movies tagged as Adult')}
${_('Watchlists')}
${_('Sync IMDB Watchlists Every [X] Minutes')}
${_('IMDB Watchlist URLs')}
${_('Sync Popular Movies Every Day At')}
${_('Sync Trakt Lists Every [X] Minutes')}
${_('Max Movies Per List')}
${_('Minimum Score')}
${_('Trakt Watchlist URLs')}
${_('Trakt Lists')}
${_('Collected')}
${_('Popular')}
${_('Anticipated')}
${_('Trending')}
${_('Boxoffice')}
${_('Watched')}


A javascript functionality which helps you to accelerate the integration of Cloudinary in any new Vanilla JS project.
This sample works upon the CSS3 modal and Pure CSS.
The uploaded file url will be "saved" to the "cloudinaryLoadedImg" hidden input. Based on the "pure JS Cloudinary sample" at codepen


10.Flato, G. et al.
Evaluation of Climate Models. Climate Change: The Physical Science Basis. Contribution
of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change (eds Stocker,T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung,
J., Nauels, A., Xia, Y., Bex, V., & Midgley, P.M.) (Cambridge United Kingdom and New
York, USA, 2013).


Clearly expressed, goals and objectives are essential prerequisites for successful change management in complex environments. System design, implementation, and commissioning in the broadest sense are classic examples of this type of change. The only rational way of measuring the success of complex systems is to assess the degree to which goals have been achieved by measuring the attainment of objectives.
A commonly used mnemonic for defining meaningful goals is S.M.A.R.T. Which depending on who you read can mean many things including:
- Specific Measurable. Acceptable. Realistic. Time Framed
- Specific. Measurable. Attainable. Realistic, Tangible
- Specific. Measurable. Action Plan. Realistic, Timetable
- Specific. Measurable. Action Oriented. Realistic. Time Stamped
Taking a superset of these we get:
- Specific. Measurable, Attainable, Acceptable, Action Oriented, Realistic, Tangible, Time Stamped. Time Framed.
These are all desirable attributes however I feel the S.M.A.R.T. approach confuses goals and objectives, which are actually different things. Furthermore it does not really provide much guidance on how to ensure these desirable attributes are present in any specific goals. I think a more rigorous approach is needed for system design purposes. I use the following framework when defining goals and objectives.
Goals
Goals can often be expressed in just a few words that describe a general aim. Goals are seldom directly measurable. They usually include a desirable quality and, if appropriate, an intended modification to that quality. Examples are: increased customer satisfaction, diversified client base, greater customer knowledge, improved cash flow, reduced hosting costs, improved staff moral, increased systems flexibility, and reduced cost of ownership. Often the goal merely specifies the quality that is to be accentuated, Profitability, Reliability, Maintainability, Security etc.
Objectives
Objectives are tightly bound to goals. Each goal can have one or more associated objectives. Unlike Goals, Objectives are measureable and provide a direct indication that progress is being made towards the goal. By definition the goal is achieved if all its associated objectives are attained. Sometimes objectives represent steps along the way toward achieving the goal and are often called milestones. People commonly define goals without defining supporting objectives, this makes it difficult, and in many cases impossible, to assess whether the goal has been achieved.
Objectives are comprised of 5 parts – Description, Observable Attributes, Test Procedures, Test Values, and Derivation and Authority.
Description
Every objective requires a succinct description that can be used to refer to the objective.
Observable Attribute(s)
Every objective defines a single observable attribute – a parameter, feature, or other characteristic that can be measured and is believed to be a good indicator of the desirable quality described in the goal. For Example; mean-time-between-failure (MTBF) is a common observable attribute for system reliability, days-sold-outstanding (DSO) is often taken as an indicator of client satisfaction and cash flow, and percentage voluntary turnover can be taken as an indicator of staff moral. There are many more commonly used observable attributes and I will try to ennumerate these in another article.
Test Procedure(s)
Every objective has a defined test that can be performed to quantify the observable attribute. The test procedure usually defines the conditions under which the test must be performed. For example; MTBF could be measured over a 6 month period of normal operation commencing 2 months after any significant change to the system, voluntary turnover could be measured every quarter and would exclude employees who were fired and whose total employment was less than 31 days.
Test Values
Each objective has one target value. This is the actual Objective. In addition several other values may be specified for comparative purposes. These are particularly useful when deciding if the target value is achievable and what the cost of achieving it is likely to be. When goals and objectives begin to change as the initiative or project progresses it is by tracking these factors that the system designer is able to stay in control.
- Comparative Values
- Worst Acceptable Value
- Best Achievable Value
- Current Value
- Target Value
- Planned Value
Derivation and Authority
This defines the origin of the objective and is useful when many changing goals and objectives must be managed.
A note on constraints: Constraints are merely objectives not to exceed a specific target value.
An Extreme Example. The Long Now Foundation‘s 10,000 Year Clock
I like extreme examples because they force us out of the mundane world and make us think about our approach as much as the solution we are designing. And as this article is really about the approach to defining goals and objectives and not a particular solution I think an extreme example is called for. The Long Now Foundation has decided to build a clock of monumental proportions that will operate for 10,000 years. They are entirely serious about this largely symbolic gesture for reasons that I will not go into here.
Below are the principles that Danny Hillis generated to guide the design of the Clock.
- Longevity With occasional maintenance, the clock should reasonably be expected to display the correct time for the next 10,000 years.
- Maintainability The clock should be maintainable with bronze-age technology.
- Transparency It should be possible to determine operational principles of the clock by close inspection.
- Evolvability It should be possible to improve the clock with time.
- Scalability It should be possible to build working models of the clock from table-top to monumental size using the same design.
I believe these are not so much principles as condensed goals and objectives. Below is my attempt to restate these principles as goals and objectives using the framework I have outlined above.
Goal: Operational Longevity
Objective: Display the correct time for 10,000 years assuming occasional maintenance.
Observable Attribute: Difference between the time displayed by the clock and the time determined by another method.
Test Procedure: For 10,000 years after the clock begins operation an observer will examine the clock display at regular intervals of between 1 and 10 years. The examination will last for a reasonable period, not to exceed two days, sunrise to sunrise. The observer must not have access to another timepiece and can only use bronze-age technologies to take measurements. The time must be calculated from first principles without reference to pre-calculated tables or data.
Test Values:
Comparative Value 1: John Harrison (1693 – 1776) constructed a state-of-the-art mechanical clock called H4 between (1755-1759). Now kept at Greenwhich, it lost 5.1 seconds after a 43 day sea voyage in 1761/2. Extrapolating to 10 years gives a loss of 7 to 8 minutes.
Target Value: Difference between displayed time of the clock and time measured by another method is within the experimental error.
I can not find a description of how to calculate time without reference to astronomical tables or specific events such as transits of planets. I imagine it is hard to do with any accuracy in just two days. I would guess that +- 2minutes would be about as good as could be achieved. And even then the observer would need some information such as the latitude and longitude of the clock and the day of the year.
Objective: A reasonable expectation of long-term success assuming occasional maintenance.
Observable Attribute: Fitness of the clock design to support operational longevity
Test Procedure: The design of the clock, its intended housing, construction materials, methods, and location will be inspected by a team of 12 people with expertise in areas such as: the geology and meteorology of the clock location, Time measurement techniques using Bronze age technologies, Bronze Age construction techniques, The Archeology and construction of ancient monuments, Properties of the construction materials, Large scale chronometer construction and maintenance, survival and reliability of cultural institutions over long time periods, Cultural Anthropology, History and Large scale engineering. This team will inspect the design of the clock for a reasonable period and will vote on proposition that “with occasional maintenance, the clock should reasonably be expected to display the correct time for the next 10,000 years.”
Test Values:
Comparative Value 1: With No moving parts Stonehenge has survived for about 5000 years although it evolved over its first two thousand years. The current configuration is only 3500 years old and half of the stones are now missing or fallen. The purpose of Stonehenge is still a mystery but it appears to be some form of calendar.
Comparative Value 2: The Lighthouse of Alexandria , the only one of the seven wonders of the ancient world that was also a functional structure, lasted nearly a thousand years but eventually succumbed to earthquake damage.
Comparative Value 3: The Jingu Shinto Shrine at Ise is rebuilt every twenty years. It was first built in 04 C.E. The Long Now Foundation have identified this Shrine as an example of the kind of tight integration between institution and artifact that they are trying to create.
Target Value: Unanimous vote of confidence in the designs ability to survive 10,000 years and still operate accurately.
Objective: Occasional Preventative Maintenance .
Observable Attribute: Ratio of Expected Lifetime to Maintenance Interval (Mean Time Between Preventative Maintenance) = The number of expected maintenance events
Test Procedure: A 100 year rolling Mean Time Between Required Preventative Maintenance (MTBPM) will be calculated. This will not include repair of clock failures
Test Values:
Comparative Value 1: In her book Longitude Dava Sobel reports that the current curators of John Harrison’s clock H4 believe that if it were kept wound it would require maintenance, consisting of complete disassembly and cleaning , once every 3 years and could be expected to last at least 3 or 4 centuries, although after such a period so many parts would have been replaced due to loss or damage that it could not be considered the same clock. This gives a Lifetime to Maintenance Interval ratio of between 100:1 and 133:1
Comparative Value 2: The highest ratio I can think of for any machine is for an AK-47 which, I am reliable informed, could be expected to last 30 years if cleaned once a week. The remarkable thing about the AK-47 is that it rarely needs cleaning, no matter how badly it is treated. This cleaning regimen would give a Lifetime to Maintenance interval ratio of about 1500:1
Target Value: Lifetime : Maintenance Interval of 500:1 This target value implies a maintenance event every 20 years – Once a generation with enough overlap to support apprenticeship and knowledge transfer. Similar to the Jingu Shinto Shrine mentioned above.
Goal: Maintainability
Objective: The overall complexity of the clock’s design must be within the grasp of Bronze Age Engineers
Observable Attribute: Design complexity must not exceed Bronze Age capabilities
Test Procedure: A panel of 12 engineers from various disciplines should agree that the clock design does not exceed the capabilities of bronze age engineers implied by Bronze Age artifacts and where available contemporary written descriptions of Bronze Age engineering accomplishments.
Test Values:
Comparative Value 1: The Antikythera Mechanism. Built in 87 C.E. on Rhodes and lost in a ship wreak in 76 C.E. off the island of Andikythera was discovered in 1901 by divers. It consisted of a wooden box containing a corroded lump of bronze gears.
It is hard to exaggerate the singularity of this device, or its importance in forcing a complete re-evaluation of what had been believed about technology in the ancient world. For this box contained some 32 gears, assembled into a mechanism that accurately reproduced the motion of the sun and the moon against the background of fixed stars, with a differential giving their relative position and hence the phases of the moon. It is enough to know that there is no trace of anything like it until around 1000 A.D., and that when it was first published there were serious suggestions that it had been dropped into the wreck at a much later date or even that it was the work of alien astronauts.
Bill Casselmann
The Mathematician E. Christopher Zeeman claims The Antikythera Mechanism is an accurate model to 1 part in 40,000.
The existence of The Antikythera Mechanism implies that tantalizing ancient reports of more complex devices on Rhodes 2000 years ago may well be true. Although none is known to have survived.
Target Value: Unanimous vote of confidence that the clock’s design does not exceed the capabilities of bronze age engineers.
Objective: All parts must be within Bronze Age manufacturing capabilities.
Observable Attribute: Part dimension tolerances
Test Procedure:
A panel of 12 engineers must agree that the design of the clock does not require parts to be manufactured to tolerances beyond those achievable with Bronze Age technologies.
Test Values:
Comparative Value 1: The Antikythera Mechanism. Graduation marks etched on the a dial of device show an error of 0.25 degrees in a 45 degree line
Comparative Value 2: Charles Babbage’s Difference Engine No 1. In His book The Difference Engine. Charles Babbage and the quest to build the first computer Doron Swade states that measurements of the handmade parts from Difference Engine No1 established that Babbage’s engineer Clement was able to make repeat parts that differed from each other by no more than two thousandths of an inch. Obviously Babbage’s techniques were beyond Bronze Age capabilities however they are about the limit of what can be hand made.
Target Value: A unanimous vote that no parts tolerance is required by the design to exceed two thousandths of an inch.
Goal: Transparency
Objective: During reassembly the relative positioning and exact orientation of each part must be self evident.
Observable Attribute: Correct operation for 30 days (one lunar cycle) after reassembly.
Test Procedure
A mechanically competent person with no knowledge of the clocks design, applying only bronze age techniques, will attempt to assemble it from it’s component parts with no written or spoken instructions.
Test Values:
Comparative Value 1: Doron Swade reports that. Charles Babbage‘s designs for the Difference engine showed all the thousands of parts in their correct position relative to each other but gave no indication as to how they were to be physically oriented during assembly so their motions harmonized with the rest of the mechanism. When the engine was finally constructed it took many attempts to get all the parts in their correct orientation. Most of these attempts ended in a mechanism jam.
Target Value: The clock can be correctly reassembled from its component parts in less than a day.
Objective: The mechanism must support diagnosis of problems
Observable Attribute: Mean time to diagnose a problem
Test Procedure
Any mechanically competent person who is also able to correctly reassemble the clock from its component parts should be able to identify the source of any operational problem by inspection alone. This ability will be tested by introducing various problems into a working model of the clock and measuring the mean time to diagnose the cause.
Test Values:
Comparative Value 1: When the Difference Engine in the Science Museum, London jams it is almost impossible to diagnose where the jam has occurred. “There is no easy way of isolating one section of the engine from another so as to localize the source of the jam” All a hapless engineer can do is to poke around with a screwdriver.” The engines design lacks any way of localizing an error to a small section of the clock and identifying the problem without disassembly.
Target Value: The mean time to diagnose the cause of a problem and shall not exceed 15 minutes from problem identification. (Fixing it may take considerably longer!)
Objective: The procedure for resetting and restarting the clock must be intuitive.
Observable Attribute: Mean time to reset and restart
Test Procedure:
Any mechanically competent person should be capable of resetting and restarting the clock if it is stopped.(How they know what time to set it to is their problem!)
Test Values:
Comparative Value 1:
Target Value: The mean time to reset and restart the clock shall not exceed 30 minutes from problem identification.
Target Value: The mean time to reset and restart the clock shall not exceed 15 minutes.
Goal: Evolvability
Objective: The clock must be modular in design.
Observable Attribute: The mechanism must comprise many loosely coupled modules that can each be replaced with other modules that perform the same function but are of a different design.
Test Procedure: Functionally identical modules of different design will be constructed and switched between different model clocks.
Test Values:
Comparative Value 1: The Salisbury Cathedral Clock was installed in 1386 It has no face and only strikes the hours. It originally used a foliot balance with a verge escapement. At the end of the 17th century, these were replaced by a pendulum and a recoil escapement. Holes on the clock’s frame show that these were later replaced again. In 1884, a new clock was installed and the old one was forgotten. In 1956, the clock was restored to its original condition and made to work again. Its pendulum and recoil escapement were replaced by a new foliot balance and verge escapement.
Target Value: Each module of the clock should have two completely different designs that are interchangeable leading to 2 to the power n different configurations of the clock, where n is the number of modules.
Goal: Scalability
Objective: It must be possible to build a working model of the clock over a large range of sizes.
Observable AttributeSize of different versions of the clock
Comparative Value 1: 1/30th scale Corliss steam engine. Jerry Kieffer, a field representative for a Wisconsin power company managed to construct a working 1/30 scale Corliss steam engine model (1.5 orders of magnitude). This involved constructing miniature .009″ diameter hex bolts and matching nuts for use on the model. Every part of the model was to scale although some of the model parts were not made of the same material as the original engine.
Comparative Value 2: The great clock in the tower of the Place of Westminster, London, commonly known as Big Ben, was the largest clock ever built when it was installed. However size brings it’s own problems namely momentum which increases with the cube of distance. When one part of the mechanism failed in 1976 it took a year to repair the extensive damage.
At 3:45am on the 5th of August 1976 as the clock started to chime, metal fatigue in the shaft connecting the chiming train to its fly fan caused the shaft to break. Without the retarding and braking effect of the fly, the chiming mechanism, propelled by the 1.25 ton weight in the shaft, increased its speed of rotation dramatically. This led to the total destruction of the chiming mechanism, with various components and fragments of others being scattered about the clockroom. Some pieces of machinery were flung at the ceiling with sufficient force to penetrate to the room above. The cast iron frame was fractured and collapsed onto the winding motor below. The flying debris also caused damage to the going and striking trains.
It was necessary for the chiming train to be reconstructed from scratch. The magnitude of this task meant that other options, such as replacement with an electric motor, were considered. The reconstruction took almost one year to complete.
Target Value: The clock design must allow working models that scale over 2 orders of magnitude (1 to 100 meters)
Conclusions
In thinking about the 10,000 year clock I have come to several conclusions;
Bronze Age technology was more advanced than I ever knew. There appears to be one issue that Danny Hillis did not address in his principles. If the clock survives it could well become a victim of it’s own success. John Harrison’s H4 has become an historic object and is now considered too important to be wound. The “evolution” of Salisbury Cathedral’s clock has been reversed by removing the pendulum and recoil escapement, added to improve the clocks time keeping, and replacing it with a foliot balance with a verge escapement, thus “restoring” the clock to its original configuration. It would be a shame if The 10,000 year Clock of the Long Now were to survive only to be stopped to “preserve” it for future generations. Paradoxically it may be worth deliberately designing all the clocks parts to wear out and be replaced before they can become historic artifacts in their own right.


{% extends 'base.html' %} {% block content %}
I'm still working on this part of my site. It's not ready yet, but it will be soon!


An if
statement can be used to
compute absolute value:
if ( value < 0 ) abs = -value; else abs = value;
This is awkward for such a simple idea. The following does the same thing in one statement:
abs = (value < 0 ) ? -value : value ;
This statement uses a conditional operator.
The right side of the = is a conditional expression.
The expression is evalutated to produce a value,
which is then assigned to the variable, abs
.
true-or-false-condition ? value-if-true : value-if-false
It works like this:
Here is how it works with the above example:
double value = -34.569; double abs; abs = (value < 0 ) ? -value : value ; ------------- ------ 1. condition 2. this is evaluated, is true to +34.569 ---- 3. The +34.569 is assigned to abs
The conditional expression is a type of expression--that is, it asks for
a value to be computed but does not by itself change any variable.
In the above example, the variable value
is not changed.


Frequently Asked Questions
Q. How this website works?
This is an online directory of confessions by people. On this platform, user can join and confess anything.
Q. What is ConfessionWeb?
ConfessionWeb is an online portal where users come together to confess something based on their lives and read about other users confessions.
Q. Who made this site?
Davnish Singh is a founder and CEO of this website.
Q. When was the site started?
The site went live on April 18, 2018 at 10:30 PM.
Q. Is this a class project?
No.
Q. I have a question that is not covered in the FAQ. How can i ask it?
Just
email us.


Ukraine remembers Maidan protests and their victims
by BNNIn Ukrainian cities, the sixth anniversary of the so-called Maidan protests has been held remembering the barricade movement that ousted the pro-Kremlin President of Ukraine, Viktor Yanukovych, and resulted in the death of around a hundred people.
U.S. news portal Radio Free Europe reports that the commemorative events took place on Thursday, November 21. The Maidan protest in Kyiv started on November 21, 2013, after then-President Viktor Yanukovych announced he was rejecting a far-ranging political and economic pact with the European Union called an Association Agreement. The same day, then-Prime Minister Mykola Azarov’s cabinet shelved the agreement.
According to the United Nations, 98 people were killed – including 84 protesters and 13 law-enforcement officers – during nearly three months of protests in central Kyiv’s Independence (Maidan) Square.
Ukraine’s Prosecutor-General’s Office has stated that 104 people were killed.
Radio Free Europe reports that in the commemorations, several hundred people assembled in Kyiv on the street where most of the protesters were shot, known as the Alleyway of the Heavenly Hundred. They brought flowers and icon lamps, and a prayer service for the dead was held in the evening.
Gatherings were also reported in the cities of Odesa, Lviv, Dnipro, and Kharkiv.


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Quanta, Matter and Change: A molecular approach to physical chemistry
作者：
Peter Atkins
&
Julio de Paula
&
Ronald Friedman
分类：
化学 - 物理化学
出版商：W. H. Freeman & Company
语言：英语
百度盘直接下载
书籍目录
The principles of quantum theory
Nanosystems 1: motion in one dimension
Nanosystems 2: motion in several dimensions
Atomic structure and spectra
The chemical bond
Computational chemistry
Molecular symmetry
Molecular assemblies
Solids
Rotational and vibrational spectra
Electronic spectroscopy
Magnetic resonance
The Boltzmann distribution
The First Law of thermodynamics
The Second Law of thermodynamics
Physical equilibria
Chemical equilibrium
Molecular motion
Chemical kinetics
Molecular reaction dynamics
Catalysis
书籍简介
本书pdf是
文字版
，
彩图版
，书签良好。
The principles of quantum theory
Nanosystems 1: motion in one dimension
Nanosystems 2: motion in several dimensions
Atomic structure and spectra
The chemical bond
Computational chemistry
Molecular symmetry
Molecular assemblies
Solids
Rotational and vibrational spectra
Electronic spectroscopy
Magnetic resonance
The Boltzmann distribution
The First Law of thermodynamics
The Second Law of thermodynamics
Physical equilibria
Chemical equilibrium
Molecular motion
Chemical kinetics
Molecular reaction dynamics
Catalysis


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home - github


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Made by Henry Bass - 2020.


Mongo_Db class
Introduction
The Mongo_Db class provides methods to interact with Mongo databases.
Besides providing the normal insert, select, delete and update functionality it has some management methods to help you with database utility operations.
Configuration
For every Mongo database connection there must be a config in mongo array in epp/config/db.php. Configuration options and explaination are listed below. Every config requires to contain a hostname and database name.
| Param | Type | Required | Description |
|---|---|---|---|
| hostname | string | yes | the hostname |
| database | string | yes | the database name |
| port | number | no | the port to use in the connection |
| username | string | no | username used for authentication, ignored if no password has been set |
| password | string | no | password used for authentication, ignored if no password has been set |
Example config:
// Inside app/config/db.php
'mongo' => array(
// This group is used when no instance name has been provided.
'default' => array(
'hostname' => 'localhost',
'database' => 'mongo_fuel',
),
// List your own groups below.
'my_mongo_connection' => array(
'hostname' => 'localhost',
'database' => 'my_db',
'username' => 'user',
'password' => 'p@s$w0rD',
),
),
Once you have your setting in place you can start using MongoDB.
In order to use MongoDB this must be available on your server. To see if you have mongo support on you server, look for the Mongo section in your phpinfo() or ask you hosting company.


ServerHistory
Member Summary
| Public Members | ||
| public get |
first: * |
|
| public get |
last: * |
|
| public |
logs: * |
|
| public get |
request: * |
|
| public get |
response: * |
|
| public get |
second: * |
|
| public get |
third: * |
| Private Members | ||
| private |
_call: * |
|
| private |
_history: * |
|
| private |
_target: * |
|
| private |
_verbose: * |
Method Summary
| Public Methods | ||
| public |
all(): * |
|
| public |
atCall(n: *): * |
|
| public |
log(message: *) |
|
| public |
push(request: *, response: *) |
|
| public |
reset() |


Invitrosome Frequency Grapher
File 1:
File 2:
Two Proportion Z Test
Pared Normal Distribution
Significance Level
Divisor (for pared normal distribution)
Insignificant values will be
greyed out
Go!
K = 1
K = 2
K = 3
K = 4


sdStart starts drawing on the current window's client area.
bool sdStart(HWND hWnd);
true - success
false - failed to start drawing, since the window is not visible. Must not continue drawing on it now.
[ASM: zero flag is set if failed]
void DrawWindow(HWND hWnd){ if(!sdStart(hWnd))return; // must return on failure sDrawRect(0,0,2000,2000,0xFF0000); //fill with red sdEnd(); }
Must end with sdEnd() if sdStart() is successful.
sDraw obtains the initial clipper via GDI's GetClipBox(), resets the draw-offset, clip-stack and source/target sSprites.


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{% block console_body %}
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