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Saturday, September 09, 2023

3.153 AMICOR (26)

 3.153 AMICOR (26)  

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

Em Salvador, Bahia (anos 80)

# Re-Publicando artigos meus

Policiais, Juizes e Médicos...

Aloyzio Achutti. Médico. (enviado para ZH em 11 de julho de 2008)

Ultimamente tem sido possível apreciar a conhecida diferença de postura entre policiais
e juízes no exercício de suas profissões: até prova em contrário, o suspeito pode
ser
culpado ou inocente dependendo de quem o considere.

Doença, freqüentemente se associa com culpa e castigo, muito embora nem sempre
o acometido tenha responsabilidade pelo infortúnio. Nas instâncias de saúde e doença,
não existem duas profissões com distintos enfoques. O mesmo médico precisa dosar
sua atitude frente a cada caso, agindo como policial ao buscar as provas para ajuizar
 o diagnóstico, e tomar a melhor decisão de tratamento de acordo com seu paciente.

Médicos de serviços de emergência e unidades de tratamento intensivo, pela experiência
 de lidarem com casos predominantemente graves, tendem a agir como policiais.
Já os sanitaristas, pediatras e obstetras, costumam ter uma experiência que os inclina
para a preservação da saúde, até prova em contrário.

Enquanto a medicina se ocupava só de doenças avançadas, não importava que a atitude
 fosse de policial, mas na medida em que nos preocupamos com prevenção, e agora
com promoção da saúde, cada vez mais se faz necessária uma atitude de juiz para
evitar que se tratem como doentes as pessoas sadias.

Como todos os remédios são venenos em potencial, e se justificam pelo princípio do
mal menor, é fundamental um juízo clínico acertado, mais ainda quando se procura
agir antecipadamente - com pessoas normais - na presunção de um mal futuro.

Hoje está de volta a investida de usar estatinas (medicamentos usados para reduzir
o colesterol) em crianças sem nenhuma evidência de doença, e a discussão fica
parecida com a que se estabelece entre policiais e juízes.

Não se ignora que a atitude tanto de uns como de outros possa sofrer influências
políticas e ideológicas. Da mesma forma em medicina, para aumentar a confusão,
existem os “lobbies” da indústria e dos interesses empresariais, que terminam
pesando na balança das decisões, por mais isento que o profissional tente ser. 

A isenção científica provendo por evidências seria a salvação, mas hoje grande
parte da pesquisa médica está sendo financiada, inclusive nas universidades,
pela “filantropia” industrial...

Quem sabe,para conseguir o contrabalanço, tenhamos que cindir também os
profissionais da saúde em duas categorias, como entre policiais e juízes?

#Our World in Data

We published a new topic page on causes of death


To find ways to save lives, it’s essential to know what people are dying from. Explore global data and research on causes of death.

What are people dying from?

This question is essential to guide decisions in public health, and find ways to save lives.

Many leading causes of death receive little mainstream attention. If news reports reflected what children died from, they would say that around 1,400 young children die from diarrheal diseases, 1,000 die from malaria, and 1,900 from respiratory infections – every day.

This can change. Over time, death rates from these causes have declined across the world.

A better understanding of the causes of death has led to the development of technologies, preventative measures, and better healthcare, reducing the chances of dying from a wide range of different causes, across all age groups.

In the past, infectious diseases dominated. But death rates from infectious diseases have fallen quickly – faster than other causes. This has led to a shift in the leading causes of death. Now, non-communicable diseases – such as heart diseases and cancers – are the most common causes of death globally.

More progress is possible, and the impact of causes of death can fall further.

On this page, you will find global data and research on leading causes of death and how they can be prevented. This includes the number of people dying from each cause, their death rates, how they differ between age groups, and their trends over time.

This data can also help understand the burden of disease more broadly, and offer a lens to see the impacts of healthcare and medicine, habits and behaviours, environmental factors, health infrastructure, and more.

More of our recent work

We published a new topic page on terrorism
We just published a new topic page on Food Prices
The limits of our personal experience and the value of statistics
We published a new topic page on Tourism
We published a new topic page on Homicides

#Neuroscience

AI vs. Human Writing


Summary: In a surprising twist, linguistics experts struggle to differentiate AI-generated content from human writing. When reviewing research abstracts, these experts could only identify AI-created content correctly 38.9% of the time. Even with their in-depth knowledge of language patterns, their reasons for classifications often missed the mark. The study raises questions about AI’s role in academia and the need for improved detection tools.

Key Facts:

  1. Linguistics experts identified AI-generated content correctly only 38.9% of the time.
  2. None of the 72 experts correctly identified all four writing samples given to them.
  3. AI struggles with longer texts, making it easier to detect due to “hallucinated” content.

Source: University of South Florida

#
My Bookmarks

ORIGINS OF LIFE | ALL TOPICS

 

Magnetism May Have Given Life Its Molecular Asymmetry

By YASEMIN SAPLAKOGLU

The preferred “handedness” of biomolecules could have emerged from biased interactions between electrons and magnetic surfaces, new research suggests.

Read the article

GEOMETRY

 

The Biggest Smallest Triangle Just Got Smaller

By LEILA SLOMAN

A new proof breaks a decades-long drought of progress on the problem of estimating the size of triangles created by cramming points into a square.

Read the article


Related: 
Mathematicians Solve Long-Standing
Coloring Problem

By Anna Kramer

EXPLAINERS

 

Alan Turing and the Power of Negative Thinking

By BEN BRUBAKER

Mathematical proofs based on a technique called diagonalization can be contrarian, but they help reveal the limits of algorithms.

Read the blog


Related: 
How Gödel’s Proof Works

By Natalie Wolchover (2020)

EXPLAINERS

 

How Scientists Are Tackling the Tricky Task of Solar Cycle Prediction

By JAVIER BARBUZANO

Scientists have struggled to accurately forecast the strength of the sun’s 11-year cycle — even after centuries of solar observations. 


Read the blog

Around the Web

An Interplanetary Internet
NASA’s Deep Space Network, which turns 60 this year, is working harder than ever. But with more probes exploring the solar system and NASA returning to the moon, the global communications system can’t keep up with scientists’ needs, Passant Rabie writes at Gizmodo. How do scientists on Earth communicate with spacecraft traveling to planets hundreds of millions of miles away? They use an interplanetary internet, as “father of the internet” Vinton Cerf discussed in a 2020 Quanta interview with Susan D'Agostino.

The Latest Model of Early Us
A new living model for an early human embryo, the most developmentally advanced one yet, has been grown from stem cells in a bottle. But that doesn’t mean researchers can create an embryo “from scratch,” Reuters explains. The findings, published in Nature on Wednesday, were first shared as a preprint in June. As Phillip Ball reported for Quanta at the time, several teams are working on such “synthetic embryos,” which pose a host of biological, legal and ethical conundrums.

#TIME100/AI


BY SAM JACOBS
Editor in Chief

I’m excited to share with you this week the first-ever TIME100 AI list.

What is unique about AI is also what is most feared and celebrated—its ability to match some of our own skills, and then to go further, accomplishing what humans cannot. AI’s capacity to model itself on human behavior has become its defining feature. Yet behind every advance in machine learning and large language models are, in fact people./.../

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