The Priming Effect – Animated Video [Practical Psychology]

This is another video in my Youtube series of developing critical thinking. Lots of stuff to work on (uhm, with respect to myself). But with time, I may improve 🙂


Insights from the 105 Books I read in 2016 – [On Self-Education]

reading

Introduction

I read and listened to 105 books in 2016, which is ~20 more books than in 2015. I have no intention to set another PR in 2017 because reading is not a marathon for me. I enjoy the process and I don’t speed read.

I attribute my ability to go through so many books in 2016 to prioritization, and not to increasing the speed with which I go through the books. In fact, I think I’m a slow reader, and I don’t mind that.

The majority of the books I read were non-fiction: textbooks, biographies, computer programming and other science related books.

I do most of my reading on my tablet. I have a nice app and a stylus-pen that make the experience of reading extremely enjoyable. When I’m in NYC, I mostly read paper books that I borrow from NYPL. I explained this here.

Genetic Mutations and Celiac Disease – My Analysis of 80 Genomes

genetic-mutations-and-celiac-disease-my-analysis-of-80-genomes

This is my third analysis of genotype and phenotype data from OpenSNP, which is a platform where people share their genetic data.

The first analysis was about smoking and the second about diabetes. I took a few genetic mutations (SNPs) associated with these conditions and looked into the genetic and phenotype data provided by the users of the platform.

Blood Work #6 – Dec 2016 – [Reliability]

blood-work-6-dec-2016-reliability

Introduction

The last time I posted about my blood work was in August 2016. Here is my December 2016 update:

Post Workout Meal – 20 Hours Fasted [Dec. 2016]

Here’s what I had after my gym session today (about one hour after leaving the gym). I was ~20 hours fasted when I ate and ~18 hours fasted when I started my workout:

In the box (variable quantities):

Visual Recognition with IBM Watson and Python – Video Series

ibm-watson-and-python-for-visual-recognition

I posted three videos in which I show you how to do visual recognition in Python by making calls to IBM Watson’s API.

Watson is a supercomputer, a specific form of artificial intelligence. You can register for a free account on IBM Bluemix website and use its super-powers.

Breakdown of my video tutorials:

  1. In the first video I explain how to use Watson for image classification.
  2. In the second video I show you how recognize text from images with Watson.
  3. I the third video I show you how to use Watson for face detection and facial recognition.

Intermittent Fasting 16-8 for 8 Weeks in Resistance Trained Males – [2016 Study]

intermittent-fasting-and-8-weeks-of-resistance-training-2016-study

Researchers from universities in Italy, Brazil and the United States did a study comparing resistance trained (RT) athletes who engaged in intermittent fasting (16/8) with RT athletes who ate normally.

The experiment ran for 8 weeks and the study was published in the Journal of Translational Medicine in October, 2016. You can read it here.

My purpose with this post is to give some thoughts about this study. I also did a video review.

Physique Update and One of my Best Workouts this Year – [Nov. 2016]

physique-update-and-one-of-my-best-workouts-this-year-nov-2016-1

Nov. 26, 2016: I just had one of the best workouts of this year. I’ll detail the context as I find it interesting and I think it may be useful for future reference (my future reference).

William Banting’s Weight Loss Experiment [1864] – My Notes

notes-from-bantings-weight-loss-experiment-1

This short and free read, I’d recommend getting your hands on it immediately; you’re given a clear description from William Banting himself (1796 – 1878) about how he went from obese to normal weight in a matter of months. He was ~67 years old at the time of his n=1 personal experiment…

Here I’m going to share some of the notes I’ve taken from Banting’s booklet – that details his journey -, a writing he dedicates to the public at large, “entirely from an earnest desire to confer a benefit on my fellow creatures.” [1]

You can read it for free here.

Genetic Mutations and Diabetes – My Analysis of 115 Genomes

genetic-mutations-and-diabetes-my-analysis-of-115-genomes

Last week I began analyzing genotype and phenotype data available through OpenSNP, a platform where people share this type of information.

The first phenotype I looked into was about smoking.

Using Python I took the smoker status reported by users and correlated it with a mutation (rs1051730) in the nicotinic acetylcholine receptor alpha 3 subunit CHRNA3 gene. A few genome wide association studies (GWAS) linked this mutation to nicotine dependence, alcohol abuse, and susceptibility of developing lung cancer.

My point with the post was to offer a proof of concept and to reveal/interpret the data I got out of my Python analysis. I wanted to create a precedent so that others could freely use and improve my scripts and my approach.

Of course, if you’re a user of OpenSNP, you can gain a lot of insight by looking at your own genotype for this SNP (single nucleotide polymorphism) and correlate it with my findings. To see the exact details of what I did and to download the Python codes, go and read the post.

Anyhow, I decided to continue with another analysis.

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