The adventure
It all started when I was on my way to the bathroom and I decided to stop halfway when I saw this pretty girl sitting on the bench. It was quite a comfortable looking bench. I don’t even know what I was thinking … probably wasn’t thinking about anything. She was busy playing around on her phone when I marched up to her and sat right next to her on the bench.
For the purpose of this story, I am gonna call this girl Ira. I’ve already seen Ira quite a few times walking up and down. Just like my previous post "The whatsapp status", there was something that drives this spark between us. What I have realised is that sometimes, this spark never lets you know if it will go on and become a fire or will it die out after a few seconds of light. You kinda need to just check it out and see how far it takes you. Sometimes, the two of you are meant to be together, but not right now. Why would I say all this? Well, this is what happened.
The moment I sat down, she greeted me. She was quite friendly to me because we already have had quite a few awkward smiles with each other so we kinda acknowledge the existence of the other person. We started chatting and suddenly, I remembered this one Ted talk I watched on YouTube about big talk. It was a brilliant Ted talk that outlined the method of eliminating small talk and just getting into the important stuff in life. You can watch the video below:
So from gathering knowledge from that video, I said to her "what
is your deepest fear?" so she hesitated for a minute or two
thinking to herself "what is actually my deepest fear?"
 She came to a conclusion and told me
that her deepest fear is sleeping. She always prays before going
to bed. This felt very familiar to because I felt the same thing
before. If you want to know what I felt, you can read "Revisit of
the Numb Hand". So I shared her my experience with regards to that
story and we kind of apprehended emotionally with each other
because we understood the feeling. Funny enough, there is this
thing with conversation specialists called "building rapport"
which is exactly what I did.
We ended up drifting to a conversation about religion and belief. This was fantastic in the sense that we could get over the small talk as soon as possible and get into the things that really matter in life. She had a strong faith in her belief which was a very attractive characteristic to me. I kind of dittoed her on that regards. It seemed at the moment that we had a lot in common, but again, how big will the fire burn?
My short toilet break slowly became an hour chat. This interaction was just too fantastic for a toilet break. I really didn’t want to leave. But… I think that was the most we got to know each other.
After story
When we saw each other again, things changed. We didn’t build rapport so well with each other anymore. We had nothing else in common. We didn’t have the same interests. She loved reading, I didn’t. I loved star signs, she didn’t. There was nothing pulling us together anymore. I was scared I am gonna come off as trying to convert her if we start the topic on beliefs again. We got busy with our own lives and slowly drifted apart. Short and sweet.
My thoughts
Sometimes we don’t know how long a particular friendship, relationship or family-ship will last. When we get to know someone, and we connect on a deeper lever than we normally do with others, it doesn’t mean that it will end up being like that forever. When the fire died, it doesn’t mean it will forever be dead. But we have no idea what is the chances of that fire reigniting again. Sometimes, I feel like there is something out there that is toying with our emotions.
I personally don’t think being detached to people is the final answer. However, when we come in contact with a person and this fire is flaming with warmness, all of a sudden … the fire dies… how much we want that fire to be alive again is intense. It becomes really cold. So at this moment in time, are we able to let go? … Are we able to start from the beginning again and act like the fire has never started before? Especially when you come in contact with the person once in a while?
This is a very similar concept with people who started off very poor in their childhood and they found a way to earn lots of money. Once they got themselves up the ladder of billionaires and making it rain with cash, and then suddenly have nothing left. Would these people be able to deal with the massive change?  This video link shows it all:
And here is what I think. In life, there isn’t much that we cannot do or get attached to, we just need to be able to be prepared to let go of it if one day we end up not having it anymore. So the only reason why some people would try their best not to get any of these attachments is because they are afraid that they won’t be an able to let go the moment they start. Some easy examples are like the only cup of alcohol tonight, the only cigarette for the day, the only cup of coffee for the day, the only packet of chocolate for the day, the only pack of coke that I will smoke today.
I am sure this ocean will let me know the meaning of life once I am ready for it…


Title: {{entry.title}}
BibTeX Key: {{entry.key}}
{% if entry.problems|length > 0 %}
Failed Checks
{% for problem in entry.problems %}| Problem | {{problem.problem_type}} |
| Message | {{problem.message}} |
| Details | {{problem.details}} |
Differences to pulled-in data
{% for diff in entry.differences %}| Field | {{diff.field}} |
| Suggestion(s) |
{%- if diff.suggestion is iterable and diff.suggestion is not string %}
{%- if diff.suggestion|length > 1 %}
|
| Current Value | {% if diff.old|length > 0 %}{{diff.old}}{% else %}(empty){% endif %} |
| Data Source | {{diff.source}} |


My name is Will Barnes. I’m currently a National Research Council Postdoctoral Research Associate at the Naval Research Laboratory in Washington, D.C. where I’m using hydrodynamic simulations and forward modeling to understand heating in the solar corona. Previously, I was a postdoctoral researcher at the Lockheed Martin Solar and Astrophysics Laboratory in Palo Alto, California. In May of 2019, I completed my PhD in the Department of Physics and Astronomy at Rice University under the direction of Dr. Stephen Bradshaw. My dissertation, Diagnosing the Frequency of Energy Deposition in the Magnetically-Closed Solar Corona, can be found here.
My primary research interest is the heating of the solar corona, the outermost layer of the Sun’s atmosphere. In particular, I create simulations of coronal loops, huge arcs of million-degree plasma suspended high above the solar surface, to try and better understand how the coronal plasma is heated to temperatures orders of magnitude hotter than the solar surface.
I’m passionate about open-source software (particularly Python!) in science and especially astronomy and solar physics. I’m involved with both the SunPy project and OpenAstronomy which seek to promote best programming practices and openness in scientific software development. You can read more about my software projects on my Projects page or check out my GitHub profile. Currently, I’m working on a package that will provide an improved Pythonic interface to the CHIANTI atomic database.


?Species
M'A~va,W,
M.
-
JLt╚
Location
Herb
l__l
Fern
l_|
Moss
l_l
WttU
Name:_
Tree
M
Shrub
l_J
Vine
I
Size:
Up
_k_
Notes:
'
/&H
Botanical
N¬.i!??!'_B0TANICAL
GARDEN
Date:
TWc.
3
J
.Ident.
by:_
Collected
by
L.
R.
HOLDRIDGE
No.
TO52
FLORA
OF
HAITI,
W.
I
01529675
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


To create patient cohorts please use OHDSI's Tool Atlas.
You can create cohorts just like you are used to. The only thing to remember is the ID of the cohort created to retrieve all the patients IDs the cohort includes.
There are two ways to determine a cohort's ID:
Get redirected to Atlas' Cohort Creation:


Collection
Guidance for new and existing academy sponsors.
Information on how to become an academy sponsor and on the funding available to sponsors.
Academy sponsors are responsible for the performance and finances of their school, setting up the academy trust, selecting the governing body and recruiting the headteacher.
Published: 19 November 2013
Updated: 7 September 2016
From: Department for Education
Part of: Opening an academy or free school


USD/JPY drops to fresh five-day lows below 108.50
by Eren Sengezer- Business sentiment in Japan improved slightly in November.
- US Dollar Index goes into consolidation after Friday's rebound.
- Wall Street looks to start the day flat.
After losing its momentum ahead of the 110 handle at the start of the previous week, the USD/JPY pair reversed its course and closed with a weekly loss of around 100 pips. With the market action turning subdued ahead of the important macroeconomic events, the pair struggles to stage a recovery on Monday and was last seen trading at 108.49, a few pips above the five-day low that it set at 108.43 in the last hour.
The data from at the start of the week showed that the business sentiment improved slightly in November with the Eco Watchers Survey's both the Outlook and the Current indexes coming in slightly better than their October readings.
Focus shifts to US-China trade talks and FOMC
Investors this week will remain focused on fresh developments surrounding the US-China trade talks. If sides could reach an agreement and sign the phase-one of the trade deal ahead of the US tariff hike on Chinese imports on December 15th, a relief rally could cause the JPY to lose interest as a safe-haven and help the pair gain traction. On the other hand, further escalation of the tension is likely to cause the JPY to outperform its rivals.
On the other hand, the Federal Open Market Committee (FOMC) will be announcing its monetary policy decisions on Wednesday. Although the FOMC is not expected to make any changes to its policy rate, it will be interesting to see how the Fed assesses the upbeat Gross Domestic Product (GDP) and Nonfarm Payrolls (NFP) data.
On Friday, the US Bureau of Labor Statistics reported that Nonfarm Payrolls increased by 266,000 in November to beat the market expectation of 180,000 and provided a boost to the US Dollar Index, which spent the first half of the week under bearish pressure. As of writing, the index was down 0.1% on the day at 97.58.
In the meantime, the S&P 500 futures are virtually unchanged on the day, suggesting that Wall Street is likely to open flat to reaffirm the neutral market mood.
Technical levels to watch for
USD/JPY
| Overview | |
|---|---|
| Today last price | 108.48 |
| Today Daily Change | -0.09 |
| Today Daily Change % | -0.08 |
| Today daily open | 108.57 |
| Trends | |
|---|---|
| Daily SMA20 | 108.87 |
| Daily SMA50 | 108.53 |
| Daily SMA100 | 107.81 |
| Daily SMA200 | 108.86 |
| Levels | |
|---|---|
| Previous Daily High | 108.93 |
| Previous Daily Low | 108.53 |
| Previous Weekly High | 109.73 |
| Previous Weekly Low | 108.43 |
| Previous Monthly High | 109.67 |
| Previous Monthly Low | 107.89 |
| Daily Fibonacci 38.2% | 108.68 |
| Daily Fibonacci 61.8% | 108.77 |
| Daily Pivot Point S1 | 108.42 |
| Daily Pivot Point S2 | 108.28 |
| Daily Pivot Point S3 | 108.03 |
| Daily Pivot Point R1 | 108.82 |
| Daily Pivot Point R2 | 109.07 |
| Daily Pivot Point R3 | 109.21 |


This is just a test.
So is this
This is just a test.
So is this
Hello
Hello Again
And Again
- Hello
How are you?
Values:
- list item 1 - one strong tag
- list item 2 - two strong tags
- list item 3
- list item 1
- list item 2
- list item 2-a
- list item 2-b
- list item 3
- list item 4
- list item 5


It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy.
START DATE: 27/MAY/2016
END DATE: 30/MAY/2016
Time Remaining :
Last Bid Person : Vagish
Last Bid Amount : $50.00


Representation of an internal application without the application name visible. Because this has role="img" you must providearia-label="" with a description of the application. App icons are usually created by combining color and minimal type. If needed, the app icon can be a simple graphic logo.
More colors are available, see color for all available color names.
TE
AE
W
TT
SM
SM
S
Attribute
Description
role="img
Required
It looks like an image but it's not.
aria-label
Required
Only when there's no visible title. Short title or name on .app-icon
aria-hidden="true"
Required
On .app-icon__logo
Sizing
TE
TE
TE
With application names
As we provide visible description of the logo, the way the aria attributes are arranged has changed.
TE
Temptation Editor
AE
Article Editor
W
Workflow
TT
Timey Mc Timeface
SM
Site Management
S
Search
TT
Timey Mc Timeface
TE
Temptation Editor
Attribute
Description
aria-labelledby
Required
Matches the id of .app-icon__name
aria-hidden="true"
Required
On .app-icon__logo
With a link
Simply replace the
 with  to make the icon clickable.
If for some reason you aren’t able to swap the module element with a link you can nest a link inside the module wrapper.
The graphic logo has to be white. If you want to put a little bit of contrast in the logo, the darker area’s should be black with an opacity of 25%.
Its dimensions should be 100x100. We only show it at 50x50 but this way it’s high dpi ready.


Hi, I'm Steven, but you can call me telecomsteve.
I am a backend research engineer and developer. Welcome to my website.


Cosmoz Theme Switcher
ERROR THEME
candy
citric-flames
classical
dark-side
denim
everest
gelati
golden-goose
ice
la-resistance
melon
seven-seas
sky
technology
the-times
regular paper-button
paper-button in x-foo local dom


A cute lululemon sweater. I saw how much you loved your old brown one that's beat up. You use to wear it a lot in Ottawa and I made fun of you so much for it... I wanted to get you something like that. BTW, the sales guy at the store was really hot. So I got him to try on the sweater and take it off a couple of times... for fitting, seeing how it would look on you...you know.
For you to read to me... And of course for your personal enjoyment
Mo jia rou and pumpkin pie...does this look like pancakes?
Love you and can't wait to create more memories together.


GAM TEST
Missing AdUnit: No Ad
Missing Size: No Ad
Unique ID: Should have ad
No ID: should have ad
Empty ID: should have ad
Collection Ad Loaded Async: should have ad
HTML Style: should have ad
Template Ad: should have ad
{{description}}
{{title}}
Listing Ad: should have ad
Title 0
Some description
Read More
Track Me
Do not track me
Listing Ad: Built with event
Title 1


Is unsupervised learning the way forward ?
Of late, we have heard a lot of talk about unsupervised learning being the way forward. Before we delve further, let’s clear the air around the types of learning.
Supervised learning : Learning, wherein the model is provided with target labels. The model is trained to predict the labels. E.g. Detecting digit from a hand-written image, given similar training data with labels (i.e. mapping of every image in training set to a corresponding label)
Unsupervised learning : Exact opposite of above, that is, no labels are provided for training. E.g. Detecting from various images of hand-written digits, images of ‘1’ & ‘7’ are different categories.
There is another category - semi-supervised learning. More on it later. So unsupervised seems easy, right ? So exactly why this hype around unsupervised learning ?
Fig: No. of ICML papers on supervised & unsupervised learning
Well, going by trends of ICML papers (pic above), it very well proves that focus of all the deep learning research has been around supervised learning all this while. Apparently it turns out that unsupervised learning could in fact actually be holding the key to future. Reasons being
-
Anotation is costly and hence rare - Annotation refers to labelling such as marking out the boundary of each pet in a picture of pets and then labelling them with corresponding category of pet. Hence, annotation for images and text is costly because of higher man-hours needed to annotate each example. Even though annotation platforms like AMT have arrived to rescue, annotated datasets are tough to obtain for most of the applications
-
Pre-training to reduce dimensionality : As anyone slightly familiar with training nets would confirm, converging deep supervised nets is tougher in higher dimension space - mostly because of overfitting in a large parameter space. As per findings by Prof Begio, models that start off with some unsupervised learning to reduce dimensionality tend to have lower variance. Hence, those models are more robust to random initialisations. He illustrates in the paper, models that start with parameters learnt from unsupervised nets tend to lock in parameter spaces which aren’t achievable by supervised nets and vice-versa
-
Supervision not desirable : For a lot of use-cases like generating images, generating audio - there’s really no ‘correct’ answer. To replicate human-like capabilities like creativity, behavior with other machines - where we want to simulate human like capabilities in civilisation of machines - it’s desirable that the machines aren’t trained with a correct way of behavior, as that defeats the purpose of simulation
-
Labelling not accurate - As humans we do err. When it comes to easier object segmentation like cat, dog - there’s hardly any error. But when it comes to annotation of complex bio-medical images it isn’t easy for trained radiologists to annotate easily. So for most labelled public datasets, labelling is done multiple times over by separate viewers and majority vote is taken for final categorisation.
So given that we understand the importance of unsupervised learning, let’s have a look at some of the most popular unsupervised algorithms in various fields of applications.
Word Embedding
- Applications
- Word2Vec is normally used for building semanti representation of words in a latent space based on features such as occurrence of a word in a sentence, co-occurrence with other words etc.
- Architecture
- Word embedding algorithms like Word2Vec use shallow 2 layer neural networks, that take in a corpus of input and produces a vectorial representation of each word in some high-dimensional latent space. The algorithm learns from a semantic vectorial representation of each of the words. It can thus easily predict
- Variants
- Doc2Vec, GloVe
AutoEncoders
- Applications
- For pre-training purposes, the output of the encoder (in a much lower dimension space) is generally used as a good proxy for the original input
- Architecture
- AutoEncoders generally contain 2 parts to the architecture - encoders and decoders, placed sequentially. They are trained to predict the input itself. Encoder part takes in the raw input and downsamples in successively lower dimensional space as the no of neurons in each layer goes down with increase in layer depth. Decoder part takes in the output of encoder and upsamples into higher dimensional space successively as neurons in each layer increases with depth. Final output of decoder is in the same dimension as the input given to the encoder.
- Variants
- Variaional AEs, Denoising AEs
Generative Adversial Networks
- Applications
- GANs are normally used for generating dreams, filling in missing patches of images, extrapolating background from images.
- Architecture
- Generative Adversial Nets generally also consists 2 parts - generator networks and discriminator nets. The generator nets generates say images from just Gaussian noise signal as input. The discriminator is shown the output from generator net along with 'real' images and trained to discriminate between real and 'fake generated' images. The error signal from prediction is backpropagated back through the gnerative net as well. Thus over the epochs, the discriminator becomes good at identifying 'real' from 'fake generated' images while generator net becomes good at generating a near-real image.
- Variants
- DCGAN, GAN


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 8
Sophie Grigson shows you how to cook a perfect Christmas turkey in this step-by-step video recipe.
Preheat the oven to 180C/350F/Gas 4. Check that you have not left the plastic bag of giblets lurking inside the bird. Put the turkey in a large, deep roasting tin. Season generously all over with salt and pepper and massage the seasoning into the skin.
Melt the butter in a large saucepan. Fold the muslin in four and lower it into the melted butter, pushing it in so that it soaks up virtually all the butter.
Lift out the butter-soaked muslin and lay it over the turkey, making sure that it completely covers the breast and upper thighs.
Pour about 300ml/½ pint water into the roasting tin and slide it into the oven. Cook for approximately 3 hours 20 minutes, basting the bird approximately every 30 minutes with the pan juices.
Test that the turkey is properly cooked in just the same way as you would a chicken. Pierce the thickest part of the thigh with a skewer. If the juices run clear then the turkey is done. If they are pink, slide it straight back into the oven for a further 15 minutes before testing again and continue to do this until they do run clear.
Once it's done, transfer the turkey to a large serving dish, discard the muslin and leave in a warm place to rest for at least half an hour. Cover with foil to stop the meat going cold.
While the turkey is cooking, make the bread sauce. Pour the milk into a heavy-based saucepan. Stick the four cloves into the onion, add to the milk and bring very, very slowly up to the boil, so that the milk has plenty of time to absorb the flavours of the onion and the cloves.
 Season to taste with nutmeg and salt. Stir in the butter or cream, adjust the seasoning, then spoon into a warm serving bowl, sprinkle with a little cayenne pepper and place on the table. If making in advance, leave to cool, then cover with cling film and store in the fridge for up to three days. Reheat thoroughly before serving. Sprinkle with the cayenne pepper just before serving.
Young, fruity Merlot from California or Chile


To say that this book has been long anticipated is no understatement. I published three articles on awk in UNIX/World in the spring and summer of 1987, making the mistake of saying that these articles were from the upcoming Nutshell Handbook, Sed & Awk. I proposed to Tim O'Reilly that I adapt the articles and create a book as a project I could work on at home shortly after the birth of my son, Benjamin. I thought I'd finish it in several months. Well, my son turned three around the time I was completing the first draft. Cathy Brennan and the customer service representatives have been patiently handling requests for the book ever since the UNIX/World articles appeared. Cathy said that she even had people call to order the book, swearing it was available because they knew other people who had read it. I owe a debt of gratitude to her and her staff and to the readers I've kept waiting.
My thanks to Tim O'Reilly for creating a great company in which one can easily get sidetracked by a number of interesting projects. As editor, he pushed me to complete the book but would not allow it to be complete without his writing all over it. As usual, his suggestions made me work to improve the book.
Thanks to all the writers and production editors at O'Reilly & Associates, who presented interesting problems to be solved with sed and awk. Thanks to Ellie Cutler who was the production editor for the book and also wrote the index. Thanks to Lenny Muellner for allowing me to quote him throughout the book. Thanks as well to Sue Willing and Donna Woonteiler for their efforts in getting the book into print. Thanks to Chris Reilley who did the illustrations. Thanks to the individual contributors of the sed and awk scripts in Chapter 13. Thanks also to Kevin C. Castner, Tim Irvin, Mark Schalz, Alex Humez, Glenn Saito, Geoff Hagel, Tony Hurson, Jerry Peek, Mike Tiller, and Lenny Muellner, who sent me mail pointing out typos and errors.
Finally, dearest thanks to Nancy and Katie, Ben and Glenda.
Dale Dougherty


{% load i18n %} {% load staticfiles %}
{% trans "Although flowers are very beautiful, they wither and fade. We're going for a honeymoon trip almost right after the wedding, so unfortunately we won't even be able to enjoy their beauty :(" %}
{% trans "Therefore, if you wanted to bring some, we'd like to ask you to donate to " %}
{% trans "DARA Foundation " %}
{% trans "instead." %}
{% trans "We'll have a box to collect donations in any currency after the wedding ceremony and will arrange their safe transport to DARA in Almaty." %}
{% trans "The mission of the Dara Foundation is the implementation of projects aimed at helping children’s health facilities, orphanages, and boarding schools for children with disabilities." %}
{% trans "Dara carries out its activities to improve living conditions and expand opportunities for development of orphans, children with disabilities and sick children." %}


David it’s a Spanish based performer and designer, his special body shapes, 1.85 m (72 inch) high and 65 kg ( 143’3 lb) weight, makes any makeup or prosthetic flow and work with precision for the most real feeling performance.
Also available 3D scan of the full body. The workshop with the latest technologies can have a clean job and quick as a click.


iPhone Screen Protector
mode_edit
more_vert
Product Details
- Product name: iPhone screen Protector
- Manufacturer: Apple
- Category: Electronics
- Color: Color
Dimensions
- Width: 30cm
- Depth: 50cm
- Height: 25cm
- Weight: 2.5cm
- Volume: 30ltr
Stock
- on Orders: 2
- Min Stock: 4
- In Stock: 0
- Status: Out Of Stock
RIYO Logistics Warehouse
- Warehouse location: D 15 A
- Sku: SP 5214963 MLK
- Barcode: 327469851
- Seller: Online trade ltd
- Seller ID: avi00125369