grixor

[grixor]

mates

I have some awesome labmates/office mates.

Bill La Cava (finishing having lunch together after a talk): OK I need to pee. I mean, I have to go.

(Bill also makes the best coffee in the world. It makes the office smell so nice in a cloudy Monday afternoon!)

Scarlet brings us chips and give us candies.

Alena takes me to Russian stores to get amaing Russian cookies.

[grixor]

No one is here. Everyone is out of town/just left.

M&M, Sandi, Johanna, Nadia, Jason, Keren, Mengyuan

[grixor]

Me: Is 52 a prime number?

Daniel: Love, 52 is even. You must be really tired.

[grixor]

Facebook reminder of post I made 8 years ago... I could use these as my stand up comedy idea.

[grixor]

Airplane mode is adventure mode.

Daniel Himmelstein

[grixor]

Function of the day: 

dplyr::recode(cdtrinary, "FALSE" = "High", "TRUE" = "Low")

[grixor]

Converting PDF to EPS using bash script (*.sh)

#!/bin/bash # for 61

# put script in directory with pdfs # make a subdirectory, move the pdfs there and make that the working directory mkdir outputEPS cp *.pdf outputEPS/ cd outputEPS

# convert all pdf to ps for filename in *.pdf; do    #echo "$filename"    pdf2ps "$filename" done

# convert all ps to eps for filename in *.ps; do    ps2eps "$filename" done

# clean up rm *.pdf rm *.ps

[grixor]

You're my known unknown.

Hazelnut

[grixor]

I learned something on our 7-mile run on Monday night (our first very dark training session after daylight saving time).

runner’s high;

/ˈrənərs hī/

noun. the state of being when running by people  smoking weed (especially downtown).

[grixor]

I'm in love with the world through the eyes of a girl

[grixor]

Surround yourself with people who push you, who challenge you, who make you laugh, who make you better, who make you happy.

anonymous

[grixor]

Run

Just writing something down here for myself to read back later...

For me, running has always been good, but it didn’t become great until I started training with others, following a rigorous schedule. 

Tuesday. 5:45. At this time, it has always been dark, but these days the sun is not even out when we finish training. Getting up at 5:30 is never that hard for me, especially when the AC is set at 78F. But Tuesdays speedwork has always been the hardest part of the training every week. It’s early. I’m often still tired from Monday. And of course it’s speedwork, which means I have to encourage my legs “Come on, legs!” every minute, whether we do a 400, 600, 800, 1200, 1 mile, or 1.5 miles. It’s tough. When I pushed myself too hard, I have doubts. During the 8x600s last week, I wanted to give up so bad during the 6th one. 

The rest of the training, believe it or not, is very enjoyable. Thursday hills and tempo could be challenging, especially when you have jack rabbits like Brett running with you and pushing you. Nevertheless, the laughs and stories and experience we share with each other worth all the sweat and sunburn and fatigue. Saturday long runs are sometimes hard at the end, but we stick together and keep each other entertained, even when we get lost. Our M2B group is awesome, and I love every single person: Sarah, Alex, Skye, Archadia, Bryon, Brett and I. The hardest long run I did was last Friday with Brett when we did a progression for 13 miles, running from 10min/mile to 8:35 min/mile during the first 10. We didn’t have the group with us, and we only stopped twice for water.

Monday recovery runs are frequently fun. It can be a bit tough when we run fast and it gets hot, but recently, without the most adorable but super intense coach Sydney, we have enjoyed it quite a bit. :P

Some days, often a Wednesday or Thursday, I go back to my morning campus runs. It’s quite relaxing and nostalgic. I would be listening to a fun podcast like Hidden Brain, or Wait Wait Don’t Tell Me. I would run with the clouds, the sun, the road, the athlete who does lots of skipping in Mayo parking lot, the lady who walked her dog with a neon vest on, the grad student running in the opposite direction. It’s awesome. However, the group makes it a whole lot easier than running by myself. We encourage and push each other forward. All the time.

[grixor]

My early morning nowadays:

- coffee, egg and toasts (cranberry and walnut)

- deep learning reading: 

http://neuralnetworksanddeeplearning.com/

https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/

https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/

https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html

P.S. Adit Deshpande is pretty awesome!

At lab/LIBR:

- read papers

- continue writing dissertation

- code: analyze data

- math: pseudopotential, vortices

- read some more

During lunch:

- coursera video on scientific writing 

https://www.coursera.org/learn/sciwrite

Evening: 

- code some more

- cook

- write up pseudopotential math in TeX

- Netflix

[grixor]

Eclipse Across America

August 21, 2017, the United States experienced a solar eclipse! 

An eclipse occurs when the Moon temporarily blocks the light from the Sun. Within the narrow, 60- to 70-mile-wide band stretching from Oregon to South Carolina called the path of totality, the Moon completely blocked out the Sun’s face; elsewhere in North America, the Moon covered only a part of the star, leaving a crescent-shaped Sun visible in the sky.

During this exciting event, we were collecting your images and reactions online. 

Here are a few images of this celestial event…take a look:

This composite image, made from 4 frames, shows the International Space Station, with a crew of six onboard, as it transits the Sun at roughly five miles per second during a partial solar eclipse from, Northern Cascades National Park in Washington. Onboard as part of Expedition 52 are: NASA astronauts Peggy Whitson, Jack Fischer, and Randy Bresnik; Russian cosmonauts Fyodor Yurchikhin and Sergey Ryazanskiy; and ESA (European Space Agency) astronaut Paolo Nespoli.

Credit: NASA/Bill Ingalls

The Bailey’s Beads effect is seen as the moon makes its final move over the sun during the total solar eclipse on Monday, August 21, 2017 above Madras, Oregon.

Credit: NASA/Aubrey Gemignani

This image from one of our Twitter followers shows the eclipse through tree leaves as crescent shaped shadows from Seattle, WA.

Credit: Logan Johnson

“The eclipse in the palm of my hand”. The eclipse is seen here through an indirect method, known as a pinhole projector, by one of our followers on social media from Arlington, TX.

Credit: Mark Schnyder

Through the lens on a pair of solar filter glasses, a social media follower captures the partial eclipse from Norridgewock, ME.

Credit: Mikayla Chase

While most of us watched the eclipse from Earth, six humans had the opportunity to view the event from 250 miles above on the International Space Station. European Space Agency (ESA) astronaut Paolo Nespoli captured this image of the Moon’s shadow crossing America.

Credit: Paolo Nespoli

This composite image shows the progression of a partial solar eclipse over Ross Lake, in Northern Cascades National Park, Washington. The beautiful series of the partially eclipsed sun shows the full spectrum of the event. 

Credit: NASA/Bill Ingalls

In this video captured at 1,500 frames per second with a high-speed camera, the International Space Station, with a crew of six onboard, is seen in silhouette as it transits the sun at roughly five miles per second during a partial solar eclipse, Monday, Aug. 21, 2017 near Banner, Wyoming.

Credit: NASA/Joel Kowsky

To see more images from our NASA photographers, visit: https://www.flickr.com/photos/nasahqphoto/albums/72157685363271303

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com

[grixor]

Lâu lắm rồi mình không nói chuyện với ba mẹ. Thật là xấu hổ, bây giờ nói tiếng Việt chả ra hơi nữa. Từ giờ trở đi mình sẽ cố gắng nói tiếng Việt nhiều hơn.

[grixor]

“Wisdom is Knowledge beaten up by Experience

Marty

[grixor]

things I learned/was reminded today:

- multivariate mixed effect model can be done manually by melting data frames, not quite an R package for it yet though; nested random effect is cool

- AIC/BIC depends on sample size; subjects with high leverage may have large effect on the significance of variables in regression models

- neurosynth map