Saturday, July 08, 2023

3.144 - AMICOR (26)

 


#Dra. Valderês Antonietta Robinson Achutti (*13/06/1931+15/06/2021)

Salve 09 de julho de 1957!

#Slideshow: 107 fotos de abertura Clicar em apresentação

# RE-PUBLICANDO artigo meu


#Hospital Moinhos de Vento
Hospital Moinhos de Vento Redefinindo a Saúde no Brasil! Todos nós fazemos parte dessa história. Assista o vídeo do nosso posicionamento e compartilhe!
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#MEDSCAPE

Medscape Staff June 26, 2023





Exercise can suppress signaling within breast cancer cells, which can reduce tumor growth and even kill the cancerous cells, according to a team of Texas A&M researchers from the School of Veterinary Medicine and Biomedical Sciences.

What to Know

  • During muscle contractions, the muscle releases some factors that kill, or at least decrease the growth, of neoplastic cells and in some cases may play a role in fighting breast cancer.

  • The factors inherently reside in muscle and are released into the bloodstream. Simple forms of muscle contraction, such as occur when going on a walk or getting up to dance, can release these factors to combat cancer.

  • It is believed that the risk of breast cancer is decreased with exercise because exercise slows the growth of abnormal cells and that precancerous cells can be destroyed by the body before they start to develop.

  • Regular exercise could disrupt communication in the cancerous cells so as to stop their growth, and the factors released by exercise may play a role in preventing the development of breast cancer in the first place.

  • Exercise is not 100% guaranteed to prevent cancer. Some people who work out regularly are still diagnosed with cancer, and there are many confounding factors that affect a person's risk of developing cancer, such as smoking, age, genetics, and comorbidities.

This is a summary of the article, "Myokines Derived From Contracting Skeletal Muscle Suppress Anabolism in MCF7 Breast Cancer Cells by Inhibiting mTOR," published in Frontiers In Physiology in October 2022. The full article can be found on frontiersin.org.

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#Nature

Anti-ageing protein boosts monkey memory

Injecting ageing monkeys with a ‘longevity factor’ protein called klotho can improve their cognitive function — hinting at possible treatments for neurodegenerative diseases in people. Klotho is a naturally occurring protein whose level in our bodies declines as we age. Rhesus macaques (Macaca mulatta) aged about 22 years — around 65 years in human terms — became better at remembering where food was hidden after receiving klotho. Before the injections, they identified the correct location around 45% of the time, compared with around 60% of the time after injection. The effect lasted for up to two weeks. It is still not clear how injecting klotho has this effect or why it lasts this long.

Nature | 4 min read
Reference: Nature Aging paperQUOTE OF THE DAY

“If you ask people about the model of an innovator, they think of Elon Musk or some old white guy in a lab coat … They don’t think of black people, enslaved, in Jamaica in the 18th century.”

Historian Jenny Bulstrode reveals that an iron-working process that was pivotal to the industrial revolution was developed by enslaved metallurgists in Jamaica and not by the British industrialist who patented it, Henry Cort. (The Guardian | 4 min read)
Reference: History and Technology paper

#Our World in Data

We just published a new page on Human Rights


Explore data on human rights across the world, and see how these rights have changed over time.


More of our recent work

We just published a major overhaul of our work on Diarrheal Diseases
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Explore global data on economic inequality, and how this is changing over time.

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My Bookmarks

NUMBER THEORY | ALL TOPICS

 

Elliptic Curves Yield Their Secrets in a New Number System

By KEVIN HARTNETT

Ana Caraiani and James Newton have extended an important result in number theory to the imaginary realm.

Read the article

MICROBIOLOGY

 

How Microbes Gained Photosynthesis Superpowers

By SAUGAT BOLAKHE

New research reveals how marine microbes use an extra membrane that once had digestive functions to boost their yield from photosynthesis.

Read the blog


Related: 
Why Are Plants Green?
To Reduce the Noise in Photosynthesis.

By Rodrigo Pérez Ortega (2020)

RAMSEY THEORY

 

Mathematical Tricks for Taming the Middle Distance

By LEILA SLOMAN

Recent discoveries in Ramsey theory can handle numbers heading toward infinity. Finitely large numbers, however, require a different mathematical toolbox.

Read the blog


Related: 
Mathematicians Discover Novel Way
to Predict Structure in Graphs

By Jordana Cepelewicz

QUANTA SCIENCE PODCAST

 

Machines Learn Better if We Teach Them the Basics

Story by MAX G. LEVY;
Podcast hosted by SUSAN VALOT

A wave of research is improving reinforcement learning algorithms by pre-training them as if they were human.

Listen to the podcast

Read the article

Around the Web

Artificial Intelligence and Math
AI systems have revolutionized many areas of science and society. Now, they are transforming the field of mathematics, reports Siobhan Roberts for The New York Times. Before a computer can tackle a math problem, it must be able to understand the problem. Last year, Steven Strogatz talked with the mathematician Kevin Buzzard on The Joy of Why podcast about how to translate math into a programming language called Lean. In 2022, computers took on an age-old math problem involving the multiplication of matrices. As Ben Brubaker reported for Quanta, an AI system found a faster algorithm for multiplying certain matrices than humans ever did.

Quasar Signals Slowed by Expanding Universe
Astronomers watching the flashing radiation from distant quasars have found that the signals are slowed by the expansion of the universe, reports Ian Sample for The Guardian. It’s the first time the effect of time dilation has been observed in quasars. The observation further deepens scientists’ confidence that Einstein’s relativistic picture of the universe is correct. In 2022, physicist Sean Carroll explained for Quanta how relativity works and how some aspects of the theory predated Einstein.



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