DataSenseLabs

Healthcare premiums for 2 adults + 3 kids = $50,000 next year Everyone’s healthy, and this is for a standard Cigna plan, not including dental or vision. I always wonder how many talented people don’t change jobs or start businesses because of healthcare costs.

Join Larry Ellison and Sir John Bell live from the Oracle Health Summit to find out how we're working to solve the biggest challenges in healthcare and life sciences. Register now.

Do you use #Rust? If not, what would you use instead? Now this is no #benchmark of any sorts - just trying out a new programming language. What you think about #Rust - do you love it? hate it? or are you indifferent to it. Tell me your thoughts and leave me a detailed comment if you feel like. #Curious to #learn more. #learningrust #lowlevelprogramming #fastio

*Extractive Economics* caused the decline of wealth in India. We Indians have always known that, having been called a Golden Bird for ages. That's why conquerors and colonisers chose to come to India from all over. With a single objective - to plunder. The laureates (2024 #nobelprize for Economics) have also shown that this reversal (wealth) mainly occurred in association with the industrial revolution. As late as the mid-eighteenth century, for example, industrial production in what is now India was higher than in the USA. This has changed fundamentally since the start of the nineteenth century, which speaks to the reversal primarily being a result of differences in institutions. The technical innovations sweeping across the world were only able to take hold in places where institutions had been established that would benefit the wider population. *Settler Mortality* was another reason why colonisers chose to loot the countries and extract the resources to take them back home. And all of this was proven by building models in the Western world countries, like the city of #Nogales, Mexico.

? ? Han Kang was born in 1970 in the South Korean city of Gwangju before, at the age of nine, moving with her family to Seoul. In the novel ??? ?? (2014; ‘Human Acts’, 2016), Han Kang employs as her political foundation a historical event that took place in Gwangju, where she grew up and where hundreds of students and unarmed civilians were murdered during a massacre carried out by the South Korean military in 1980. In seeking to give voice to the victims of history, the book confronts this episode with brutal actualisation and, in so doing, approaches the genre of witness literature. Han Kang’s style, as visionary as it is succinct, nevertheless deviates from our expectations of that genre, and it is a particular expedient of hers to permit the souls of the dead to be separated from their bodies, thus allowing them to witness their own annihilation. In certain moments, at the sight of the unidentifiable corpses that cannot be buried, the text harks back to the basic motif of Sophocles’s ‘Antigone’. The 2024 Nobel Prize in Literature is awarded to the South Korean author Han Kang “for her intense poetic prose that confronts historical traumas and exposes the fragility of human life.” Learn more about her literature: https://bit.ly/3Y0axiY

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.” ? The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. ? The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues. ? Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors. ? The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough. ? In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. ? Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta