Por lo que sabemos, el Universo está repleto de ondas gravitacionales. Cada explosión de supernova, cada fusión de estrellas de neutrones o de agujeros negros, incluso el mismísimo Big Bang, deberían haber enviado un gran número de ondas a través del e…
Lo que hasta el sábado era en Madrid y buena parte de la península una capa de nieve polvo perfecta -las calzadas se llenaron de esquís y trineos- se ha convertido poco a poco en hielo duro por efecto de las bajísimas temperaturas y los cielos despejad…
English Wikipedia articles are slightly more politically biased than Encyclopedia Britannica articles, and most of this bias is in favor of Democratic views. That is, in almost all cases, Wikipedia leans more to the left than Britannica.
The bias disappears as more edits are made. Something to keep in mind after having attended that kind of granguiñolesca performance what was he storming of the capitol.
One of the biggest problems of encyclopedias is to objectively present the knowledge they contain. involves subjective, unverifiable or controversial information. Even today's issues like immigration, gun control, abortion, and foreign policy are open to fervent debate depending on who is giving an opinion.
Using data from Encyclopædia Britannica, written by experts, and Wikipedia, an encyclopedia produced by an online community, in A study compared the bias and bias of pairs of articles on identical topics in American politics.
The lean measure is less (more) than zero when an article leans toward Democratic (Republican) views, while the bias is the absolute value of the lean.
What was found is that Wikipedia articles lean more toward Democratic views than Britannica articles, and they are also more biased. All in all, perhaps the most interesting finding of the research is that the more times an article is reviewed on Wikipedia, the less bias it is likely to show.
However, the number of revisions needed to start showing this effect is quite large (at least 2000 issues) and the articles most read by users are not necessarily the most reviewed by editors.
These results highlight the pros and cons of each knowledge production model, help identify the extent of empirical generalizability of previous studies comparing the information quality of the two production models, and offer implications for organizations managing knowledge. crowd-based knowledge production.
If Wikipedia wants to improve its objectivity, the study's authors note, is recommended to encourage editors to review the most read stories first, as well as encourage people with different political leanings to edit the same article. Only in this way, perhaps, will we blur a little the increasingly opaque border between Democrats and Republicans:
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The news
Wikipedia is a little more politically biased than Encyclopedia Britannica (in favor of Democrats)
was originally published in
Xataka Science
by
Sergio Parra
.
According to A study conducted by researchers at the Max Planck Institute of Psychiatry, led by Nikolaos Koutsouleris, a combination of human and artificial intelligence optimizes prediction of mental health problems, including psychosis.
The study combined psychiatric evaluations with machine learning models that analyze clinical and biological data.
Although psychiatrists can make very accurate predictions about the positive outcomes of mental illness, they may underestimate the frequency of adverse cases that lead to relapses.
Therefore, algorithmic pattern recognition helps doctors to better predict the course of the disease.
The results of the study show that it is the combination of artificial and human intelligence that optimizes the prediction of mental illnesses, and not just one or the other. With the algorithm, then, doctors can identify at an early stage those patients who need therapeutic intervention and those who do not. As Koutsouleris explains:
This algorithm allows us to improve the prevention of psychosis, especially in young patients at high risk or with emerging depression, and to intervene in a more specific and timely manner.
Therefore, the algorithm does not replace treatment by medical professionals; rather, it aids decision making and provides recommendations on whether further testing should be performed on an individual basis.
The results of our study could help drive a reciprocal and interactive process of clinical validation and improve prognostic tools in real-world screening services.
Norman Bates I would celebrate it.
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The news
This algorithm is used to predict if you are going to suffer psychosis (if mixed with human intelligence)
was originally published in
Xataka Science
by
Sergio Parra
.
According to a new study published in Nature, non-cognitive skills (such as curiosity, motivation, persistence, determination, self-control, growth mindset...) represent more than half of the overall genetic influence on educational attainment and obtaining better jobs and higher incomes.
Specifically, the study identified 157 significant genome-wide loci and a polygenic architecture that accounts for 57% of the genetic variance in educational attainment.
According to the study cited, the non-cognitive genetics was enriched in the same brain tissues and cell types as cognitive performance, but showed different associations with brain gray matter volumes.
Overall, the genetics of non-cognitive abilities were associated with greater risk tolerance, greater willingness to forego immediate gratification, less risky health behavior, and a delay in fertility.
The researchers also observed that the genetics of non-cognitive skills were associated with a constellation of personality traits linked to success in relationships and at work, such as being curious and eager to learn, being more emotionally stable, and being more hardworking and tidy.
The genetics of noncognitive skills that were associated with educational attainment were also related to an increased risk of schizophrenia, bipolar disorder, obsessive-compulsive disorder and anorexia nervosa.
The research provides evidence for the idea that inheriting genes that affect things other than cognitive ability is important for understanding differences in people's life outcomes.
The researchers applied a new statistical method to develop an understanding of the essence of non-cognitive abilities and how genetic correlations with non-cognitive abilities diverged from genetic correlations with cognitive abilities, as measured by standardized IQ tests: genome-wide association (GWAS) of educational achievement.
In the GWAS, samples are taken from all people and all their DNA is examined in search of something that is a match in all of them. This coincidence does not necessarily tell us something about the ultimate cause, but rather that there is a common genetic characteristic that could provide the trait.
The first GWAS Was published very recently, 2005, after scanning the genome of 93 people who suffered from a retinal disease. On paper, GWAS seems like an elegant solution, but the problem is that the amount of data is overwhelming. For example, simply to look for genes related to height, an examination of 183,727 different people was carried out. The study required the participation of 280 authors. The results They appeared published in Nature in 2010, suggesting that hundreds of genetic variants were involved in height alone, and furthermore those variants only explained 10 percent of the differences in height.
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The news
The 57% of total genetic influence on educational and occupational achievement has nothing to do with cognitive abilities
was originally published in
Xataka Science
by
Sergio Parra
.
It may play a role in cancer.
Convergent evolution in action.
