Nobody Knows Why Hundreds of People Died at This Himalayan Lake
- Until now, the leading theory was that a brutal hailstorm pummelled all of the travelers to death at the same time around 800 CE in a single catastrophic event, which might explain the unhealed compression fractures found on some of the bones.
- While deadly hail may account for some of the fatalities, new evidence strongly suggests that these people met their deaths in multiple different events at the lake across the centuries.
- The earliest group of deceased travellers identified by the researchers, called Roopkund_A, contained 23 men and women from a diverse range of South Asian ancestries.
- The third population is comprised of a sole individual, called Roopkund_C, who was a man of East Asian descent that died at the same time as the Roopkund_B group.
Alexandria Ocasio-Cortez calls the Electoral College a racist 'scam' — an argument that a growing number of Democrats are making going into 2020
- Rep. Alexandria Ocasio-Cortez called the Electoral College "a scam" that undermines the voices of voters of color in a series of Instagram stories on Monday.
- This is in part because people of color are less likely to live in rural states, which are afforded at least three Electoral College votes regardless of population size.
- Ocasio-Cortez also argued the votes of Republicans and rural dwellers in blue states are being undermined by the system.
- This isn't the first time Ocasio-Cortez has pushed for eliminating the Electoral College.
- In response to MSNBC host Chris Hayes' June tweet that the borough of Queens, New York has more residents than 16 states combined, Ocasio-Cortez replied, "Yet one more reason to abolish the electoral college," adding a winking emoji.
- And the Republican Party has long been opposed to eliminating the Electoral College.
Future demand for elderly care services like assisted living & in-home care are rife for digital disruption
- As the Baby Boomer population ages, society is on the cusp of dealing with an unprecedented number of senior citizens who will need elder care.
- An intensifying shortage of US home health aides and physicians, a booming senior population, and the prevalence of chronic illnesses all point to a need for transformative solutions when it comes to senior care services.
- Depending on the source you check, one becomes a senior citizen at different ages.
- According to Medicare, you become a senior at age 65.
- Regardless, senior care takes many forms in the U.S. One of the most common types is assisted living, sometimes known as senior living or more colloquially as "a home." As the name implies, these locations assist people who cannot or choose not to live on their own.
Gentrifying Portland: A tale of two cities
- The people who live there love it openly and loudly, and it regularly appears on the lists of best American cities.
- So when I read that Portland was 76% white, I thought to myself, "What the Fox News is going on here?" How can a city that is so known for its liberal politics — and even more liberal lifestyles — be so conservative in its number of black people?
- Much like lima beans on a child's plate, the black people of Portland are pushed from the center out to the edges, where there seems to be a childlike attempt to forget them.
- On this episode, I tried to remind the mostly white hipsters of Portland about the black residents whom their presence had pushed out.
- Still, scattered throughout Portland are black people like Beverly, who has lived in her house most of her life.
Exploring DNA with Deep Learning
- Lex's recent paper – The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference – demonstrates how simple deep learning techniques can be used to tackle the ever-changing field of DNA research.
- In this post, we’re going to learn about how Lex uses deep learning to study population genetics, as well as Lex’s own journey with data science and AI.
- For example, it can be used to determine your ancestry from your DNA sequence, or for identifying the mutations that help certain populations adapt to a new environment.
- One-hot encoding transforms the DNA data in a format we can use with deep learning, and also reduces the data size by throwing away all the non-mutated locations in the genome because they carry no meaningful information.
- We trained convolutional neural networks to do different population genetic tasks on these DNA images.