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I’ve never liked raves

Drugs metabolized through the same liver enzyme as MDMA

Some drugs are metabolized (broken down) through the same liver enzyme as MDMA, known as the CYP2D6 enzyme (pronounced “sip-two-dee-six”). If you take MDMA along with another drug that is metabolized by the CYP2D6 enzyme, they will both be metabolized much more slowly, as the same enzymes struggle to break down two drugs at the same time. It is like taking a higher dose of both drugs, and this can be dangerous, especially if the other drug has a low overdose threshold.

Ritonivar, for example, is a protease inhibitor used in the treatment of HIV that is metabolized by the CYP2D6 enzyme. At least one person has died from taking MDMA while on Ritonivar. Other drugs metabolized by CYP2D6 include codeine and other opiate derivatives, as well as DXM, an ingredient found in many over-the counter cough medications.

Be especially careful about DXM, because it is commonly found in fake ecstasy tablets. Don’t combine different brands of E. Accidentally getting DXM is bad enough, but accidentally combining it with real Ecstasy is even worse.

Note: Prozac is also metabolized by the CYP2D6 enzyme. Taking E while on Prozac will inhibit the breakdown of both the Prozac and the E. However, Prozac also prevents users from experiencing the desired effects. The unique relationship between MDMA and Prozac deserves special consideration. See our neurotoxicity page as well as our Ecstasy Slideshow for more information.

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If there's one bit of transformational technology in the mobile world today, it is wireless charging. Just as the world got a hang of using microUSB to charge everything and anything, the next best thing came along. That thing is wireless charging, and I've a few things to say about it this week.

http://www.adafruit.com/products/2162

http://www.adafruit.com/product/1926

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"How inappropriate to call this planet Earth when it is quite clearly Ocean." —Arthur C. Clarke

Beaded mosaic on wood-source:

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Books Born on Tumblr

Never Have I Ever: My Life (So Far) Without a Date by Katie Heaney

Find Momo: A Photography Book by Andrew Knapp

Reasons My Kid Is Crying by Greg Pembroke

The Forest Feast by Erin Gleeson

Shit Rough Drafts by Paul Laudiero

F*ck I’m in My Twenties: A Guided Journal by Emma Koenig

The Librarian Stereotype: Deconstructing Perceptions and Presentations of Information Work by Nicole Pagowsky & Miriam Rigby

I Work At A Public Library: A Collection of Crazy Stories from the Stacks by Gina Sheridan

Art History Paper Dolls by Kyle Hilton

Chasers of the Light: Poems From the Typewriter Series by Tyler Knott Gregson

Daily Dishonesty: The Beautiful Little Lies We Tell Ourselves Every Day by Lauren Hom

Men In This Town: London, Tokyo, Sydney, Milan and New York by Giuseppe Santamaria

Pen & Ink: Tattoos and the Stories Behind Them by Isaac Fitzgerald & Wendy MacNaughton

The Daily Face: 25 Makeup Looks for Day, Night, and Everything In Between! by Annamarie Tendler

Little Humans by Brandon Stanton

1 Page at a Time: A Daily Creative Companion by Adam J. Kurtz

Laughing at My Nightmare by Shane Burcaw

Off the Leash: The Secret Life of Dogs by Rupert Fawcett

Thug Kitchen: The Official Cookbook: Eat Like You Give a F*ck by Thug Kitchen

WTF, Evolution?!: A Theory of Unintelligible Design by Mara Grunbaum

NY Through The Lens by Vivienne Gucwa

Asian Street Fashion by James Bent

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Big in 2014 - Authors to Watch

In alphabetical order.

Laurie Halse Anderson

Jami Attenberg

Leigh Bardugo

Holly Black

Alexandra Bracken

Sarah Rees Brennan

Brandy Colbert

Katie Coyle

John Darnielle

Sarah Dessen

Cory Doctorow

Gayle Forman

Roxane Gay

Emily Gould

Jenny Han

Nick Harkaway

Cristina Henriquez

Michelle Hodkin

Chelsea Hodson

Maureen Johnson

Saeed Jones

Edan Lepucki

Malinda Lo

E. Lockhart

Bennett Madison

Tahereh Mafi

Emily St. John Mandel

Mallory Ortberg

Chuck Palahniuk

Stephanie Perkins

Tamora Pierce

Ransom Riggs

Rainbow Rowell

Laura Ruby

Eliot Schrefer

Emma Straub

Noelle Stevenson

Maggie Stiefvater

Chuck Wendig

Jacqueline Woodson

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7 centers

Practical Ayurveda by Dr. Vasant Lad

Asana Pranayama Mudra Bandha  by Swami Satyananda Saraswati

Yoga: The Practice of Myth and Sacred Geometry by Rama Jyoti Vernon

Additionally, we suggest you bring a translation of the Bhagavad Gita. If you do not already own one we recommend the translation by Jack Hawley.

TYPICAL DAY MONDAY-FRIDAY:

4:50am: Hatha Yoga Cleansings & Trataka Surya Namaskara and/or Asana,Mantra & Pranayama 7:00am: Ayurvedic Breakfast 7:45am: Karma Yoga 8:30am: Yogic Philosophy/Vedic Astrology/Mantra 9:30am: Asana  I /II & Teaching Methodology 12:00am: Ayurvedic Lunch 1:00pm: Nature Walk/Yoga Nidra 2:00-3:30: Yoga Sutras, Ayurveda, Anatomy (Lecture class) 3:30-5:30pm: Kundalini, Chakra Yoga and 5 Elements Yoga – introducing diversity of styles of yoga.

*Saturday schedule varies 8-2pm

*Sundays -Rest

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Is this for real ?

These are pictures of different dried human tears. Grief, laughter, onion and change. Each type has a different chemical makeup which makes them appear different.

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Computers Can ‘See’ People’s Dreams

A computer can predict what you’re dreaming about based on brain wave activity, new research suggests. By measuring people’s brain activity during waking moments, researchers were able to pick out the signatures of specific dream imagery — such as keys or a bed — while the dreamer was asleep. Read more.

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Simulating 1 second of real brain activity takes 40 minutes and 83K processors

From GigaOm:

Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain’s neural network, using the world’s fourth-fastest supercomputer. The results aren’t revolutionary just yet, but they do hint at what will be possible as computing power increases.

A team of Japanese and German researchers have carried out the largest-ever simulation of neural activity in the human brain, and the numbers are both amazing and humbling.

The hardware necessary to simulate the activity of 1.73 billion nerve cells connected by 10.4 trillion synapses (just 1 percent of a brain’s total neural network) for 1 biological second: 82,944 processors on the K supercomputer and 1 petabyte of memory (24 bytes per synapse). That 1 second of biological time took 40 minutes, on one of the world’s most-powerful systems, to compute.

[read more] [via nerdcore] [picture CC BY-SA 2.0 Saad Faruque]

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Tiny chip mimics brain, delivers supercomputer speed

Researchers Thursday unveiled a powerful new postage-stamp size chip delivering supercomputer performance using a process that mimics the human brain.

The so-called “neurosynaptic” chip is a breakthrough that opens a wide new range of computing possibilities from self-driving cars to artificial intelligence systems that can installed on a smartphone, the scientists say.

The researchers from IBM, Cornell Tech and collaborators from around the world said they took an entirely new approach in design compared with previous computer architecture, moving toward a system called “cognitive computing.”

"We have taken inspiration from the cerebral cortex to design this chip," said IBM chief scientist for brain-inspired computing, Dharmendra Modha, referring to the command center of the brain.

Read more

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The mind is basically a computer. It is a tool of the soul. It is very powerful, it will believe whatever you program into it. This is why it is very important to respect it for the power it has over our being. Do you control your mind, or is it controlling you? Is your mind cluttered with...

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Thought is only a flash between two long nights, but this flash is everything

Jules Henri Poincaré