Human beings are evolving live and direct on the Tibetan plateau. And understand what happens there will be fundamental in space

It is not easy to breathe on the roof of the world. A few days ago, Kilian Jornet told in the revolt that, while he went down from Everest, He began to suffer hallucinations And convinced that he was dreaming he was about to jump into the void. And it makes sense because, thousands of meters above sea level, there is simply less oxygen in each breath of air. It is, we could say, pure physics. However, for more than 10,000 years, Tibetans have not only survived these dementeial conditions of that environment: they have prospered. But how? It is a question that has intrigued anthropologists for years. And if we think a little, he has his crumb. For decades, it has been said that evolution is slow and that, in general terms, human beings are more or less the same as we were in the Paleolithic. How could it be that Tibetans (who would not cease to be people like us) have prospered all this time If that is so? The answer is very simple: not being. A few months ago, anthropologist Cynthia Beall, from Case Western Reserve University, published PNAS investigation which clarifies all this and reveals “how the physiological features of Tibetan women improve their ability to reproduce in an environment with such a shortage of oxygen.” It is live and live evolution. What did they do? Beall and his team They studied 417 Tibetan women between 46 and 86 years old who lived around 4,000 meters above sea level in Alto Mustang, Nepal; that is, at the southern end of the Tibetan plateau. They collected many data: from their reproductive history to physiological measurements, DNA samples or a wide set of social factors. Its intention was precisely to understand how the characteristics of oxygen supply in high altitude hypoxia conditions influenced the number of living births. Because? Because it is a key measure of the evolutionary aptitude of these women. And so it was. Because what they discovered is that women who had more living children had a “unique set of blood and cardiac characteristics” that helped their bodies to distribute oxygen. Specifically, They discovered That although these women had middle levels of hemoglobin, it was more saturated. It was a fantastic solution because it allowed an efficient distribution without increasing the viscosity of the blood (and, therefore, without forcing the heart more than necessary). What does all this mean? Something really interesting. Because work Not only does it underline “the remarkable resilience of Tibetan women”but they also offer valuable information about the ways in which human beings can adapt to extreme environments. After all, “it is a case of natural selection in progress. Tibetan women have evolved in a way that balances the oxygen needs of the body without overloading the heart,” Beall explained. And, understanding how populations like these are adapted, “it gives us a better understanding of human evolution processes.” Something that, on the other hand, we need. Because in the end, it turns out that the unity of the human species is only sustained by the similar environmental conditions in which we move. But what will happen when we become an “interplanetary species”? And the answer is simple: that We can never go home. The unity of the species will be detrimental to our adaptive success. Image | Will Pagel In Xataka | To what extent are Elon Musk’s plans to settle on Mars? A planetary scientist explains it to us

We have a new “theory of all” to understand Alzheimer’s. Your key is in small granules

Creating “theories of all”, unified models that explain various phenomena associated with a scientific field, is not exclusive heritage of physicists. The fight against some diseases can also benefit from models that help us understand their causes and consequences and the processes that mediate. New model. Now a group of researchers has devised a new modela theory that tries to explain Alzheimer’s disease through a “unified explanation of molecular chaos” that derives in this neurodegenerative disorder. According to this new theory, the disease and its symptoms would derive from a collapse of the transport system in charge of moving molecules between the nucleus and cell cytoplasm. This new theory can help simplify a topic as complex as Alzheimer’s. However, its authors remember that this disruption is still extremely complex, with more than a thousand genes involved in it. “Our proposal, focused on the rupture of communication between the nucleus and the cytoplasm leading to massive disruptions in gene expression, offers a plausible framework to understand the mechanisms that lead to this complex disease,” Explain in a press release Paul Coleman, co -author of the new model. A granular problem The model places the formation of chronic stress granules at the beginning of this process. These are clusters of proteins and RNA chains responsible for generating stress in the cell. Stress granules are usually generated temporarily. Its original function is to respond to cell stress by leaving some processes until the cell can recover. Once its duty has fulfilled and the stress disappeared, they dissolve. The problem unleashes when these granules become chronic, which leads them to catch other molecules, making it difficult for them to move between the nucleus and the rest of the cell. From inside out. The model starts from this trigger to explain with it the disease and its consequences outside the cellular unit. And it is that the changes that occur at the cellular level end up affecting cerebral synapses, metabolism, protein processing and cell survival, as explained by the model responsible for the model. The details of the new model were published In an article In the magazine Alzheimer’s and Dementia: The Journal of the Alzheimer’s Association. A disease with many faces. Alzheimer is one of the most intriguing diseases, Explain the responsible team of the new model. In part, they point out, this is because it takes the appearance of various diseases made one, with symptoms that include memory loss and cognitive deterioration, but also changes in personality and in our same internal biology. This complexity, continues to expose the team, is partly responsible for how extremely difficult it is to study this disease. Models like this that schematize their processes, can serve future researchers to find new routes of action that become more effective therapies when facing the symptoms of Alzheimer’s or, even, the same disease. In Xataka | In his tireless fight against Alzheimer’s, scientists have encountered an unexpected ally: coffee Image | Jason DREES/AS

Thanks to this table we can finally understand how metals compatibility works

Materials science is an exciting discipline. It is likely that some people seem unattractive, and it is a respectable opinion, but objectively it is about A very important scientific branch. Its purpose is to study the structure, physicochemical properties and the behavior of the elements with the purpose of Design new materials which can be used in a very wide range of industries. The kevlar used in The bulletproof vests and the diaphragm of some speakers, among other applications; the carbon fiber used in the aeronautical, automobile and sports industries; high performance alloys used, for example, in nuclear reactors and The turbines of the aircraft; or the Carbon nanotubes which are already being used in some electronic devices support the relevance of the science of materials currently. Rufosity matters. And a lot One of the properties that usually study material engineers is roughness. This characteristic identifies often imperceptible irregularities that reside on the surface of a material. To measure them, it is usually necessary to carry out a microscopic analysis, but the really important thing is that this knowledge allows researchers to design and manufacture new components. And it is that roughness is an essential parameter that conditions the performance, durability and applications in which a new material can be used. In fact, there are research groups and companies that are dedicated in body and soul to characterize new materials and measure their roughness. Michigan Metrology It is one of these companies. It resides, as we can intuit, in the state of Michigan (USA), and expressly dedicates itself to measurement, analysis and inspection of roughness and wear of surfaces. To carry out their analysis, it resorts to very sophisticated teams that are capable of precisely identifying the irregularities present on the surface of the materials through a three -dimensional exploration. The table we publish on top of these lines has been prepared by the American mechanical engineer Ernest Rabinowicz, and is the Bible for Michigan Metrology and other companies that are dedicated to material engineering. In fact, it is the authentic protagonist of this article. And it is because it gives us a lot of information about the roughness and sliding compatibility of a good part of the metals that we can find in the periodic table of the chemical elements. Two pieces work better together if they are metallurgically incompatible, or, what is the same, if the metals involved are not dissoluble with each other As you can see, Rabinowicz occurred to be placed on the horizontal and vertical axes of the table the symbol that identifies each metal. And at the intersection between each pair of them appears A very illustrative symbol that identifies whether these two metals are incompatible, partially incompatible, partially compatible, compatible or identical taking as reference their roughness. In the field of metallurgy this information is very valuable. And it is because metals that are compatible from a metallurgical point of view tend to adhere to each other, a process that increases friction and wear. As we can intuit, knowing precisely the degree of compatibility between each couple of metals is fundamental in the design of the sliding interface between two metal pieces. In fact, two of these pieces work better together if they are metallurgically incompatible, or, what is the same, if the metals involved are not dissoluble with each other. Image | Kaboomps.com More information | Construction Physics In Xataka | Copper has reigned in the chips industry for decades. It already has an unbeatable substitute: Ruthenium

Mets launcher Dardo against Yankees fans: “They don’t understand baseball”

The 2025 major league season and the encounters between Mets and Yankees are more than evident have not yet begun. Proof of this were the explosive statements of the launcher Aj Minterwho signed for two seasons with those of Queens in exchange for $ 22 million. After taking the Dominican Juan Soto from the Yankees, the Mets took the lead in the market and the pique continued later that in statements extracted from Sny, MINTER talked about his experience with the fans of the mules. According to the reliever, Mets fans are the true ball followers. Otherwise Yankees public that according to him do not understand baseball. “It can be said that these Mets fans are true baseball fans. They understand baseball, not like those on the other side of the city”Miner said at his discretion. MINTER’s comment is founded that he has been able to face many teams but according to him there are no better fans than those of the Mets. “These are the true staunch fans and will be with you until the end. I had to face them all throughout my career and they always did the best of themselves, so we cannot wait to launch for you now, ”he added. The arrival of Minder to the Bullpen of the Mets serves as an experience reinforcement available to the manager Carlos Mendoza. The left -hander comes from a season with many injuries; Despite this, he launched in 34.1 innings, leaving 35 strikeouts and 2.62 percentage of clean races. Continue reading: (Tagstotranslate) New York Mets (T) New York Yankees

NASA is about to launch two rockets toward the auroras. The objective: understand their hypnotic movements

The auroras have fascinated those who have observed them for millennia, but they continue to hold all kinds of mysteries. despite current sensors. In order to better understand your blinks and pulses, NASA will fly directly to them from the region of the United States where they appear most frequently. Meanwhile, in Alaska. Although almost all of America’s space activity occurs in warm Florida, NASA’s Goddard Space Flight Center has everything ready to launch a sounding rocket from Alaska. Delayed on numerous occasions due to bad weather (today they expect snowfall and tomorrow, minimum temperatures of -28 ºC), the launch is scheduled for this week from Poker Flat Research Camp from Fairbanks. A flight to the auroras. The mission is called Ground Imaging to Rocket investigation of Auroral Fast Features (whose acronym is “GIRAFF”but I don’t know who they’re trying to fool, we all know they put the acronym first). The objective is to fly, with separate sounding rockets, to two subtypes of northern lights: Fast-pulsing aurorae, which flicker in a rhythmic pattern of pulsations every second, are related to a type of electromagnetic waves in the magnetosphere called Alfvén waves. Flickering auroras, whose variability is slower and more irregular, and are characterized by flickers in the sky that appear to move or shift according to the flow of charged particles in the magnetosphere Aboard a modified missile. For this mission, NASA will use Black Brant XI sounding rocketswhose first stage is derived from the US Talos naval missile. With three stages of solid fuel, the small rocket is capable of launching a payload of up to 600 kg to a height of 250 kilometers. The GIRAFF mission rockets are equipped with instruments to measure the processes responsible for creating the optical variations in auroras, hypnotic movements observable from Earth that occur at relatively high frequencies of up to 15 Hz or more. The GIRAFF mission. NASA researchers want to understand why some auroras flicker, others pulse, and others appear to have holes. This research focuses on two specific energy coupling mechanisms with such saccharine names as low-altitude electromagnetic ion cyclotron wave-particle interactions and chorus wave modulation in the equatorial magnetosphere. To better understand the mechanisms of these interactions, what better than to fly directly into a flickering aurora and a fast pulsating aurora with two identical rockets? A second mission will launch two more rockets into the dark spots or “holes” of the auroras to better study this other phenomenon. Images | NASA/Lee Wingfield/Sebastian Saarloos In Xataka | This is what the Northern Lights look like from space

We spoke with the creators of ALIA, the 100% Spanish AI, to understand its future

This Monday it was announced release of ALIA language models. The initiative has been in development for years and it is now that the first fruits are beginning to be seen, still modest, but promising. To learn more details about ALIA, at Xataka we have spoken with Martha Villegas (@MartaVillegasM), head of the Language Technologies Unit of the Barcelona Supercomputing Center (BSC). This has allowed us to clarify the status of the project, its objectives and its next challenges. To compete with ChatGPT, nothing The first thing we wanted to know is how ALIA had been created, and here Marta Villegas clarified that the model is based on the Llama architecture – Meta’s Open Source model –, “but the model has been trained from scratch and with zero initial weights“. This is important because ALIA is not a Llama-based model that has undergone a refinement or “fine-tuning” process. In those cases, this expert explained, “you start from a model trained with other data and with initialized weights, and you do it to adapt that model to your needs, either because you have more data and you want it to be better or because perhaps you want to adapt it to a particular domain. But here, he told us, “the vocabulary (set of tokens) is completely different.” In other models the corpus or training data set may be mostly in English, which causes the set of admissible tokens to be calculated through English. That, Villegas indicates, would make it adapt less efficiently to other languages. That is precisely what has been sought with ALIA: reduce the relevance of English to increase the number of 35 languages ​​of the European Union and, especially, Spanish, Catalan, Basque and Galician. How ALIA has been trained The ALIA training process began with some experiments in April 2024. It is necessary because as Villegas explained, “training is not pressing the button after feeding the data and that’s it.” It had to be taken into account that MareNostrum 5the supercomputer located at and managed by the BSC, had just come into operation at full power and there was high demand to use it. MareNostrum 5 In this training process, the ALIA project has had gradual availability of the computing capacity of MareNostrum 5. Although for a short period of time they had access to 512 of the 1,120 specialized nodes of the supercomputer, 256 nodes were used for many months and since September They are using 128 nodes, “which is a lot,” Villegas highlights. During the training process, he told us, there are so-called “checkpoints”, in which it is possible to evaluate how the training process is going. These “pauses” also allow certain training data to be updated, as in fact happened in that process in which at a given moment they introduced a new corpus with high quality that allowed them to replace some data they had. This is just the beginning: it’s time to “instruct” and “align” ALIA Villegas explained to us that ALIA is a foundational model: it is not prepared to be an alternative to ChatGPT. The latter is based on GPT-4, a much more ambitious foundational model that involved much more investment. Here we must differentiate the foundational model from the “educated” and “aligned” models with which we usually interact. As this expert told us, “ALIA-40b is a foundational model that is not instructed or aligned. For a model to be a ChatGPT and understand the conversation and have a certain memory and be “politically correct,” the foundational model (which only learns to say the next token) is “instructed” by passing a bunch of texts.” Even so, the goal is to gradually consider these options. “In March, the instructed version of ALIA-40b is expected to be launched, with a first set of open instructions,” Villegas told us. These instructions are going to be subcontracted – the ones that allow these models to be instructed – and a million euros are going to be invested in that set of instructions from scratch. This data will also be published so that it is available to institutions and developers: if it has been paid with public money, explains Villegas, it is logical that this data will also be public, something that does not usually happen with other AI models from private companies. While training AI models provides guidance on how to respond and defines the context and purpose of those responses, alignment solves problems such as avoid discriminatory biasprevent misinformation or protect privacy. Precisely this lack of alignment means that using these models in this initial phase can produce responses with errors and biases that are precisely mitigated to a great extent with this alignment phase. ALIA and the competition: it is neither a rival of ChatGPT nor does it intend to be In fact, Villegas highlights, “the objective is not to compete with ChatGPT, for that we would need 5 billion dollars.” ALIA-40b “is a good model, and a chatbot can be made in the future because the intention is to instruct and align it, but that will take time.” Within the ALIA family we have the Salamandra models (2b and 7b), smaller and more modest but which already have first instructed versions. Its performance and capacity still have room for improvement, but they are good starting points for the future. It was inevitable to ask how ALIA then intends to compete with other models, both closed and developed by private companies and Open Source models. For her “There is a demand for intermediate models that each person can then adapt to their specific use case, not everyone can use ChatGPT for reasons such as privacy or use case.” Villegas also wanted to highlight how these smaller models can have exceptional performance in specific tasks, and can work at levels of security and not sharing important data. The objective is not to compete with ChatGPT, for that we would need 5,000 million dollars Not only that, he reveals: “we also took out the … Read more

Why what we understand as “normal” development in children could be wrong

Image source, Getty Images photo caption, Due to the immense variety of components that affect the growth of a human being, it is very difficult to define something as “normal.” Item information Author, Samuel Forbes and Prerna Aneja Author’s title, The Conversation* January 14, 2025 For parents, caregivers and teachers, it is often tempting to base our understanding of a child’s development on what we believe is “normal.” We often do it without thinking, when we describe a child as “doing well” in one subject and “falling behind” in another. Whenever we make this kind of comparison, we have some kind of mental reference point in our heads: for example, a toddler should be able to climb furniture at age 2. Increasingly, child development researchers argue that the same is true in their field, the study of how behaviors and skills such as language develop. Many of the studies that claim to investigate child development, whether implicitly or explicitly, claim that their findings are universal. There may be many reasons for this. Sometimes there is a temptation to exaggerate conclusions, sometimes it can be the way readers or the media interpret the findings. The result is that what has been found in a group of children is then taken as the standard, the criterion against which future research is compared. Academic biases Image source, Getty Images photo caption, Most of the existing academic research on child development comes from Western countries. Most research on child development comes from wealthier Western countries, particularly the United States, the United Kingdom, the Netherlands, Germany, and France. Chances are, if you’ve heard of childhood development milestones, they occurred in one of these countries. This is because it can be difficult to conduct basic research on child development in developing countries, as colleagues and reviewers will ask or demand comparisons with Western populations to put findings from these regions in context. Of course, without realizing it, these colleagues and reviewers have established Western children as the norm. Complex environments Image source, Getty Images photo caption, Most academic studies on child development have been carried out in developed countries, and do not take into account development in other cultures. But is it fair to make these comparisons? One of the complicated aspects of child development research is that it occurs in a cultural and social context from which it cannot be separated. But this context is often confusing. Differences in physical environment, parenting styles, location, climate, etc. interact to shape children’s growth. In addition to these differences, there are also individual variations. These can be, for example, curiosity, shyness and neurodiversity, which can frame the way a child shapes their own learning environment. Take the field of childhood motor development: the study of how children learn to move. Many parents in particular may be familiar with charts showing when they can expect their child to sit, crawl, stand and run. The existence of these graphs makes it seem quite universal, and a child’s motor development is often judged in this way. This makes sense. Early research was concerned with finding out what was normal, and it makes sense to try to support children who might be at risk of falling behind. The time and order investigated then gave rise to the norms and scales that we still use today. Image source, Getty Images photo caption, Studies have standardized the stages of development, without taking into account that the environment affects each individual differently. Is something like the timing of motor development universal? It’s easy to imagine it could be. When there are no physical or cognitive barriers, we all learn to sit and stand, so at first glance it seems fair to say that it could be. But it turns out that the context in which children develop plays a very important role even in something as seemingly universal as this. In countries and cultures where babies routinely receive firm massages from their caregivers, such as in Jamaica, motor development accelerates. It is clear that a norm developed in one culture may not translate well to another. Beyond the rules Image source, Getty Images photo caption, Many times, research has no way to incorporate key information such as the social and cultural context of the children it studies. Clearly, the problems highlighted above are not unique to motor development. In areas such as language development or social development, the cultural component is even more pressing. There is simply no way to understand these elements of child development without also understanding the context in which they take place. Each child develops within a context and, no matter how normal our own culture may seem to us, There is no objective, context-independent standard with which we can compare other children.. That is, we should accept the disorder. If we think of normal child development as something that just happens, researchers miss understanding the dynamics of development itself. But worse, educators and caregivers may not realize that development is something we can act on, and they miss the opportunity to create change. Image source, Getty Images photo caption, Each child develops uniquely, and it is through that understanding that better results are achieved. An important part of viewing child development as intertwined with culture is that it not only means collecting data from other cultures, but involving local communities and research perspectives. Understanding communities means listening to them, empowering them and giving them space to have a voice. Moving beyond a Western-centric understanding of child development will not only benefit researchers and lead to more accurate science, but will hopefully benefit everyone who works with children around the world. *This article was published on The Conversation and reproduced here under the creative commons license. Beam click here to read the original version. Samuel Forbes is Associate Professor of Psychology at the University of Durham and Prerna Aneja is a Lecturer in Psychology at the University of East Anglia. Subscribe here to our new newsletter to receive a selection … Read more

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