Март 2025 г.

Российская наука и мир (по материалам зарубежной электронной прессы)

CONTENTS / ОГЛАВЛЕНИЕ


• Mass grave reveals victims of a 2100-year-old massacre in war between East Asian empires
• Ancient seafloor creature grew like modern marine invertebrates, study suggests
• New study uncovers key mechanism behind superior biological effects of heavy-ion cancer therapy
• Your brain knows when you’re being ripped off before you do
• Breaking limits: A technology for deep vascular visualization
• Iosif Khriplovich 1937-2024
• Neural network learns to hesitate for improved accuracy
• Vietnam, Russia hold promising scientific collaboration

Китайские, монгольские и российские археологи прояснили обстоятельства сражения у крепости Баянбулаг на юге современной Монголии в I в. до н.э. В то время крепость оказалась на линии фронта в войне между Ханьским Китаем и Хуннской державой, а при раскопках в 2009 г. там было обнаружено массовое захоронение. Судя по найденным там же артефактам, крепость находилась под контролем Китая, а секвенирование ДНК и изотопный анализ костей показали, что погибшие происходили из империи Хань и, судя по всему, были убиты при обороне крепости. Это также позволяет предположить, что Баянбулаг - это упоминаемая в китайских хрониках крепость Шоусянчэн, местоположение которой достоверно не известно.

Just beyond the northern fortifications of the Great Wall of China in present-day Mongolia lies a mass grave that records a massacre. Interred about 2100 years ago, the jumbled bones of at least 17 skeletons show signs of bludgeoning, dismemberment, and decapitation. Several skulls were buried without matching bodies.
Since its discovery 16 years ago, archaeologists have puzzled over the gruesome scene. They were reasonably certain the remains, found near the ruins of an ancient fortress in Mongolia, belong to soldiers slain during a historic war between the Chinese Han Dynasty and a nomadic empire of steppe warriors known as the Xiongnu. But they couldn’t tell which side’s combatants lay in the grave - a detail that could reveal who controlled the fortress during this pivotal conflict. Now, they may finally have answers. In a study published last month in the Journal of Archaeological Science, a team of scientists sequenced ancient DNA and analyzed isotopes in the bones to identify the dead.
Mario Novak at the Centre for Applied Bioanthropology praises the detective work, which combined conventional archaeology and history with state-of-the-art lab techniques. It adds fresh details to a war that precipitated Han dominance in the region. "This is an excellent example of how these types of studies should be done."
More than 2000 years ago, a fortress known as Bayanbulag in southern Mongolia marked the front lines of the Han-Xiongnu Wars, a series of intense battles between two of the most powerful empires of East Asia. In the end, the Han won out. "After 200 years of war, the Xiongnu were completely defeated and some of them fled to the West," says Alexey Kovalev at the Russian Academy of Sciences’s Institute of Archaeology and corresponding author of the study. (Some of their descendants formed the marauding group known as the Huns.)
Previous work at the site led some researchers to conclude that Bayanbulag is the same fortress widely referenced in Chinese historical narratives, known as Shouxiangcheng. Records indicate it was built by the Han in 104 B.C.E. but its location has been debated for centuries.
Ample evidence, including the fortress’ architecture and artifacts such as coinage, pottery, and military regalia, suggest it was originally built and controlled by the Han, Kovalev explains. For example, prior excavations unearthed several fragments of crossbows and hundreds of crossbow-associated arrowheads - technologies only the Han possessed, Kovalev says.
Still, some questioned whether the site was, in fact, a Han fortress, Kovalev says.
In 2009, archaeologists working at the fortress noticed bones peeking out of a nearby streambank. As they excavated the mass grave, they unveiled a traumatic scene. "Judging by the poses of these people, they were kneeling or lying down when they were killed," Kovalev says. "One [victim] was lying on his back and trying to cover himself with his hands, so his arms and legs were cut off."
Yet researchers weren’t sure whether the bodies belonged to Han soldiers who died defending the fortress or to Xiongnu warriors who perished assaulting it.
To find out, a team led by Kovalev’s colleague and study co-author Cui Yinqiu at Jilin University obtained and sequenced DNA from 14 of the skeletons and compared the results with other ancient groups in the broader region. They found the genetic backgrounds of the bodies in the mass grave most closely resemble those of ancient populations from the Yellow River Basin in China.
Support came from the skeletons’ chemical makeup. The researchers analyzed the bones for ratios of certain isotopes that vary depending on where people grew up and what kinds of food they ate.
The results suggest the soldiers did not come from the Mongolian Plateau and had a varied diet of plants and meat - a pattern more consistent with the Han than the Xiongnu, who ate mainly meat and dairy.
Ultimately, the evidence suggests the Xiongnu killed and dismembered a detachment that was ambushed near the fortress, the researchers conclude. "The Xiongnu did not take any prisoners," Kovalev says.
Bryan Miller, an archaeologist who specializes in East Asian history at the University of Michigan who was not involved in the study, applauds the attempt to learn the victims’ identities. The analysis shows the fortress was indeed manned by Han soldiers, he says, eliminating any lingering questions about who built and operated the fortress. However, he says he’ll need to see more evidence before he’s convinced the site is indeed Shouxiangcheng.
In the future, Kovalev hopes to explore Bayanbulag further, both to uncover its past and to protect its future. Less than 10% of the site has been excavated, he says, and contemporary scavengers routinely pillage it for iron, bronze, and other metal souvenirs.
"Marauders with metal detectors are working at this site," Kovalev says - and now, it falls to archaeologists to protect the fortress.

В совместном исследовании российские, американские и канадские палеонтологи описали загадочных якореобразных существ, обитавших на морском дне более 550 млн лет назад, в Эдиакарскую эпоху. Парванкорины (Parvancorina minchami), при некотором сходстве с трилобитами, имеют необычную морфологию и неясную систематическую принадлежность. Ученые определили, что продолжительность жизни у них составляла около четырех лет, они могли дорастать почти до 2 см в длину, а темп их роста был аналогичен темпам роста современных мелких беспозвоночных.

The growth and lifespan of Parvancorina minchami, small anchor-shaped animals that lived on the seafloor about 550 million years ago, resemble that of current marine invertebrates like golden shrimp and Baltic clam.
New research by a team at the Russian Academy of Sciences, Harvard University and the Sea Around Us initiative at the University of British Columbia shows that P. minchami's longevity was about four years, that they could reach close to 20 millimeters in length, and that their pace of growth was similar to that of small recent invertebrates.
"These results bring us closer to understanding the functions performed by early multicellular animals in Ediacaran ecosystems," said Dr. Andrey Ivantsov, lead author of the study and a researcher at the Borissiak Paleontological Institute of the Russian Academy of Sciences.
The paper, "Growth of the enigmatic Ediacaran Parvancorina minchami," was published in the journal Paleobiology.
The Ediacaran is the period preceding the Cambrian and is considered the time of the widespread distribution of the first animals.
A single event that took place during that time in the White Sea region of Russia fossilized hundreds of animals, including many specimens of the unusual Parvancorina minchami, which are kept and studied at the Borissiak Institute. Using the measurements of 211 of those fossils, which had been previously categorized into distinct size groups, presumed to reflect distinct ages, the researchers fitted growth data over the animals' lengths over time and retained the best-fitting growth curve, which estimated how fast these animals grew and for how long. For this, they employed a method and software called Electronic Length-Frequency Analysis (ELEFAN), which was developed in the early 1980s by Dr. Daniel Pauly, principal investigator of the Sea Around Us initiative at the UBC's Institute for the Oceans and Fisheries.
"Since ELEFAN provides quantitative insights into the growth dynamics and longevity of living marine invertebrates, we were able to use it to connect the huge literature on those dynamics to data on the fossils of Parvancorina minchami," Dr. Pauly said. "Thus, our work contributed to understanding how they grew and for how long. Previous studies had already identified that, given that these animals had no limbs, they used simple muscle fibers to orient themselves relative to the ocean currents and gain nutrition by ingesting suspended food through external cells. Our research allowed us to establish a growth curve for what may be one of the oldest multicellular animal species and brought us one step closer to understanding their biology."
In recent years, Dr. Pauly used ELEFAN to connect the growth dynamics of Paleozoic animals to those of modern marine crustaceans, contributing to the understanding of the paleobiology and ecology of ancient animals and ecosystems.
"In terms of morphology, these earliest animal fossils can seem quite alien, but this kind of analysis brings them much closer to animals we know and understand," said Dr. Andrew Knoll, co-author of the study, and Fisher Research Professor of natural history and Earth and planetary sciences at Harvard University.

Исследование китайских, российских и немецких ученых позволило раскрыть ключевой механизм действия противораковой радиотерапии с использованием тяжелых ионов. В основе ее эффекта лежит межмолекулярный кулоновский распад, возникающий при бомбардировке тканей тяжелыми ядрами железа и углерода и, предположительно, ведущий к разрыву цепочек ДНК в опухолевых клетках.

Heavy-ion therapy, one of the most advanced radiotherapy techniques, has proven to be more effective than conventional X-rays and proton radiation in cancer treatment. However, the mechanisms behind this superior biological effectiveness remain unclear.
Published in Physical Review X on March 11, a new study has uncovered a key mechanism involving Intermolecular Coulombic Decay (ICD) in aqueous environments initiated by heavy-ion irradiation, providing insights about the effectiveness of such irradiation.
The study was conducted by researchers from the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences (CAS), in collaboration with researchers from Russia's Irkutsk State University, Germany's Heidelberg University, the University of Science and Technology of China, Xi'an Jiaotong University, and Lanzhou University.
This study examined the effects of heavy-ion radiation on biomolecules at the molecular level. The researchers developed an advanced supersonic gas jet technology to produce clusters of biomolecules attached to water molecules. Pyrimidine, a fundamental structural unit of DNA bases, was selected to simulate DNA in the tissue environment and to investigate its decay mechanism after heavy-ion irradiation.
The experiments were conducted at the experimental Cooler Storage Ring of the Heavy Ion Research Facility in Lanzhou and the 320 kV platform for multi-disciplinary research with highly charged ions. The researchers used carbon and iron ion beams to bombard the clusters of pyrimidine surrounded by water molecules. State-of-the-art quantum chemical calculations were employed to help revealing the decay mechanisms.
The study revealed for the first time that in living tissues irradiated by a heavy-ion beam, inner-valence ionized water can transfer excitation energy to DNA molecules through the ICD process.
"This process not only leads to the ionization of the pyrimidine molecule with emission of a low-energy electron, but also initiates proton transfer between water molecules, resulting in the production of harmful secondary particles - hydroxyl radicals and hydrated protons," said Prof. XU Shenyue from IMP, one of the corresponding authors of the study.
This finding challenges the long-held assumption that inner-valence ionized water cations decay through self-fragmentation, with their fragments indirectly affecting DNA. Instead, the observed mechanism shows that these inner-valence ionized water cations can directly interact with DNA through ICD while also releasing harmful secondary particles near DNA. This significantly increases the risk of DNA double-strand breaks.
Furthermore, compared to other types of radiation, heavy-ion irradiation significantly increases the proportion of inner-valence ionization in water molecules, thereby dramatically enhancing its biological effectiveness.
"The observed mechanism is an important factor contributing to the superior biological effects of heavy-ion therapy. It sheds light on the molecular mechanisms of radiation damage and may play an essential role in optimizing radiotherapy techniques in the future," said Prof. MA Xinwen from IMP, another corresponding author of the study.
This work was jointly supported by the National Key Research and Development Program of China, CAS, the National Natural Science Foundation of China, and the Ministry of Science and Higher Education of the Russian Federation.

Сотрудники НИУ «Высшая школа экономики» выяснили, как мозг оценивает стоимость товара и решает, насколько она приемлема. Используя электро- и магнитоэнцефалографию, исследователи обнаружили, что мозг реагирует практически мгновенно, когда цена товара отличается от ожидаемой, причем завышенные цены вызывают более сильную реакцию, чем заниженные. Эта реакция задействует области мозга, отвечающие за оценку выгоды и обучение на основе прошлых решений. Таким образом, восприятие стоимости продукта - часть автоматических когнитивных механизмов, которые активируются еще до совершения осознанного выбора.

In the crowded marketplace of modern life, where decisions about value and price bombard us constantly, our brains may be making judgments long before we consciously realize it. Russian researchers have identified a specific neural marker that activates almost instantly when a product’s price deviates from what we expect to pay - with our brains reacting more strongly to inflated prices than suspicious bargains.
The study, published in January in Frontiers in Human Neuroscience, provides a fascinating glimpse into the automatic mechanisms that influence our purchasing decisions beneath the surface of conscious thought.
Scientists from HSE University and Neurotrend, a Russian neuromarketing company, used advanced brain imaging techniques to track neural responses as participants evaluated product prices. Their findings reveal that the brain engages regions responsible for reward assessment and learning from past decisions when encountering prices that seem "off."
"The results demonstrate that when the price does not meet expectations, the brain responds almost instantly. Moreover, the response is linked to brain regions involved in assessing rewards and learning from past decisions. This means that the perception of a product’s value is part of automatic cognitive mechanisms that are activated long before an individual consciously makes a decision," explains Vasily Klucharev, Head of the International Laboratory of Social Neurobiology and chief researcher on the study.
On a rainy Moscow afternoon in the neuromarketing lab, participants strapped with sensors stared at screens displaying familiar tech products. The researchers showed 65 participants images of mobile phones - iPhones, Nokia, and Xiaomi models - followed by hypothetical prices that ranged from suspiciously low to outrageously high compared to actual market values.
After seeing each phone and its price, participants were shown either the word "expensive" or "cheap" and had to determine whether this assessment matched the displayed price. Throughout this process, researchers monitored brain activity using electroencephalography (EEG) and magnetoencephalography (MEG) - techniques that capture the electrical and magnetic activity of neurons in real time.
The key finding centers around a specific brain signal called N400, an electrical impulse typically generated when the brain encounters unexpected information. When participants saw prices significantly different from market values, this N400 signal fired strongly - with excessively high prices triggering even stronger responses than implausibly low ones.
This asymmetry makes evolutionary sense: being skeptical of too-good-to-be-true bargains might have protected our ancestors from scams, while being particularly sensitive to overpricing would help avoid wasting precious resources.
Interestingly, the researchers also discovered that brand familiarity influences how precisely our brains judge appropriate pricing. For Xiaomi phones, the range of prices that triggered strong N400 responses was broader, suggesting participants had less certainty about this brand’s "true" market value compared to more established brands like iPhone.
The study originated from a student’s curiosity. "Back when I was in my bachelor’s programme at HSE University, I wondered whether it was possible to determine from brain activity what price a person considers acceptable. Our experiments have confirmed that it is indeed possible," comments Andrew Kislov, doctoral student at the HSE Faculty of Social Sciences and co-author of the study.
Kislov acknowledges ethical considerations but emphasizes their limited scope: "Globally, we are working to develop an objective method for assessing customer preferences. To what extent, in doing so, do we have the right to invade a person’s inner world? This is a good question, but in this project, we simply aimed to determine the maximum price that would be comfortable for people, and this method does not pose any real threat to customers."
By analyzing the MEG data to map which brain regions activate when encountering non-optimal prices, researchers identified involvement of the frontal cortex and anterior cingulate gyrus - areas known to play crucial roles in decision-making and reward assessment.
The implications extend beyond pure neuroscience into practical marketing applications. Traditional consumer surveys often fail to capture true price perceptions since respondents may give socially desirable answers rather than revealing their authentic reactions.
"Marketers are increasingly saying that conventional consumer surveys don’t provide a complete picture, as people cannot always explain why a certain price seems too high or too low to them. People often say what they think is expected of them," explains Anna Shestakova, Director of the HSE Institute for Cognitive Neuroscience and chief researcher on the study.
The collaboration with Neurotrend points toward emerging applications in consumer research. "We discovered that it is possible to examine an individual’s brain and determine whether a specific product price meets their expectations. This approach can help predict how people will perceive the price of a new product even before it is released to the market," Shestakova adds.
As neuromarketing techniques advance, they offer unprecedented insight into consumer psychology at its most fundamental level. Yet they also raise important questions about the boundaries between scientific understanding and commercial exploitation of how our brains unconsciously evaluate value.
For consumers navigating an increasingly sophisticated marketplace, there may be some comfort in knowing that their brains are already working behind the scenes to identify suspicious pricing - whether it’s that suspiciously cheap online deal or an overpriced cup of coffee. The next time you instinctively think "that’s too expensive," your brain likely knew it milliseconds before you did.

Российские ученые разработали инновационный метод, позволяющий улучшить визуализацию кровотока в сосудах, расположенных под кожей и другими тканями, не прибегая к инвазивным процедурам. Метод основан на комбинации лазерной спекл-контрастной визуализации (ЛСКВ) и анализа главных компонент (АГК).

Researchers at Saratov State University and their colleagues have developed an innovative approach to improving the visualization of subsurface blood vessels using laser speckle contrast imaging (LSCI) enhanced with principal component analysis (PCA). This revolutionary method overcomes significant limitations of traditional technologies, providing depth-independent blood flow assessments with unprecedented accuracy.
The team has created a unique technique that allows clear visualization of blood vessels located beneath the skin and other tissues without requiring invasive procedures. Based on LSCI and PCA, this approach enables precise imaging of blood flow at depths of up to 2 mm - a significant challenge for traditional methods.
Why does it matter?
This achievement is particularly important because traditional LSCI works well for visualizing superficial vessels and is widely used due to its affordability and simplicity. However, when vessels are hidden beneath tissue layers, the technology struggles. The new method overcomes these limitations while retaining all the advantages of traditional LSCI - simplicity, cost-effectiveness, and no need for equipment modification.
What has changed?
With the new approach, researchers have learned to "filter" signals, separating blood flow information from static background noise. This improves image clarity and enables accurate assessment of blood flow even in challenging conditions.
Key advantages:

Памяти известного советского и российского физика-теоретика Иосифа Бенционовича Хрипловича (3 января 1937 - 26 сентября 2024), многолетнего сотрудника Института ядерной физики СО РАН (1959-2014) и почетного профессора НГУ. Ему принадлежат значительные открытия и важные исследования в теории слабых и электромагнитных взаимодействий, теории многоэлектронных атомов и теории гравитации.

Renowned Soviet/Russian theorist Iosif Khriplovich passed away on 26 September 2024, aged 87. Born in 1937 in Ukraine to a Jewish family, he graduated from Kiev University and moved to the newly built Academgorodok in Siberia. From 1959 to 2014 he was a prominent member of the theory department at the Budker Institute of Nuclear Physics. He combined his research with teaching at Novosibirsk University, where he also held a professorship in 1983-2009. In 2014 he moved to St. Petersburg to take up a professorial position at Petersburg University and was a corresponding member of the Russian Academy of Sciences from 2000.
In a paper published in 1969, Khriplovich was the first to discover the phenomenon of anti-screening in the SU(2) Yang-Mills theory by calculating the first loop correction to the charge renormalisation. This immediately translates into the crucial first coefficient (-22/3) of the Gell-Mann-Low function and asymptotic freedom of the theory.
Regretfully, Khriplovich did not follow this interpretation of his result even after the key SLAC experiment on deep inelastic scattering and its subsequent partonic interpretation by Feynman. The honour of the discovery of asymptotic freedom in QCD went to three authors of papers published in 1973, who seemingly did not know of Khriplovich’s calculations.
In the early 1970s, Khriplovich’s interests turned to fundamental questions on the way towards the Standard Model. One was whether the electroweak theory is described by the Weinberg-Salam model, with neutral currents interacting via Z bosons, or the Georgi-Glashow model without them. While neutrino scattering on nucleons was soon confirmed, the electron interaction with nucleons was still unchecked. One practical way to find out was to use atomic spectroscopy to look for any mixing between states of opposite parity. Actively entering this area, Khriplovich and his students worked out quantitative predictions for the rotation of laser polarisation due to the weak interaction between electrons and nucleons. Their predictions were triumphantly confirmed in experiments, firstly by Barkov and Zolotorev at the Budker Institute. The same parity violating interaction was later observed at SLAC in 1978, proving the Z-exchange and the Weinberg-Salam model beyond any doubt. In 1973, together with Arkady Vainshtein, Khriplovich also derived the first solid limit on the mass of the charm quark that was unexpectedly discovered the following year.
The work of Khriplovich and his group significantly advanced the theory of many-electron atoms and contributed to the subsequent studies of the violation of fundamental symmetries in processes involving elementary particles, atoms, molecules and atomic nuclei. His students and later close collaborators, such as Victor Flambaum, Oleg Sushkov and Maxim Pospelov, grew as strong physicists who made important contributions to various subfields of theoretical physics. He was awarded the Silver Dirac Medal by the University of New South Wales (Sydney) and the Pomeranchuk Prize by the Institute of Theoretical and Experimental Physics (Moscow).
Yulik, as he was affectionately known, had his own style in physics. He was feisty and focused on issues where he could become a trailblazer, unafraid to cut relations with scientists of any rank if he felt their behaviour did not match his high ethical standards. This is why he became engaged in Yang-Mills theories at a time when very few people were interested in them. Yet, Yulik was always graceful and respectful in his interactions with others, and smiling, as we would like to remember him.

Ученые Центра искусственного интеллекта Сколтеха и Института проблем передачи информации РАН разработали метод, позволяющий нейронным сетям точнее оценивать свою «уверенность» в прогнозах и обнаруживать неоднозначные ситуации, в которых их выводы могут требовать дополнительной проверки со стороны человека

Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of the Russian Academy of Sciences, have developed a method that allows neural networks to more accurately assess their "confidence" in forecasts.
The method uses a special set of confidence-aware training data and aims to improve the reliability of neural network models in high-risk tasks, for example, in medicine or manufacturing.
The results were presented at the International Winter Conference on Applications of Computer Vision (WACV-2025) and in the conference proceedings.
Modern neural network models often demonstrate high accuracy, but sometimes they are too confident in their predictions, even in situations where the data is ambiguous or contains noise. This can be critical in areas such as medicine, industrial safety, or autonomous systems. By controlling their behavior more precisely in complex and borderline scenarios, the developed approach can increase the reliability of models.
The new method assists the neural network in identifying cases where its forecast might require human verification. The research team tested the technology on real-world data, including medical diagnostic tasks for blood typing, and obtained a significant increase in the accuracy of uncertainty assessment in classification and segmentation tasks.
Unlike classical approaches, where only binary labels (0 or 1) are used in training samples, the new method additionally introduces "soft" labels - values ranging from 0 to 1, reflecting the experts' confidence in the accuracy of the data markup. This helps the model build a more careful decision-making strategy and respond more effectively to situations with a high degree of uncertainty.
Also, the method allows considering two types of uncertainty - epistemic, associated with the insufficiency and incompleteness of the training data, and aleatory, arising from natural noise or ambiguity in the data itself.
"Our method helps the neural network understand where to be careful. In practice, this reduces the risk of its overconfidence when handling complex or borderline cases. We tested the method on real data and confirmed its effectiveness in estimating uncertainty," said Aleksandr Yugay, a junior research engineer at the Skoltech AI Center.
The new technology can be applied in critical areas where the reliability of artificial intelligence is important, including medical diagnostic systems, industrial automation, technical control systems, and autonomous solutions.
"We focused on teaching the model not only to make decisions, but also to identify cases where the risk of error is particularly high. Thanks to the use of confidence markup, our solution stands out from the existing ones. An assessment of 'caution' is critical for decision-making in medicine and other areas with a high cost of error," commented Alexey Zaytsev, an associate professor at Skoltech, the head of the Skoltech-Sberbank Applied Research Laboratory.

О сотрудничестве Вьетнамской академии наук и технологий и Объединенного института ядерных исследований (Дубна).

Vietnam is one of the founding countries of the Joint Institute for Nuclear Research (JINR) in Dubna (commonly known as Dubna Institute), which is one of the leading scientific research institutes not only in Russia but also in the world.
During the wartime period, Vietnam sent distinguished scientists to JINR to study, conduct research, and contribute to fundamental scientific and technological advancements. Since 1982, when the Vietnam Academy of Science and Technology (VAST) became the official representative of Vietnam at JINR, the training of scientific personnel has been systematised, laying the foundation for the development of a high-quality scientific and technological workforce, playing a significant role in the country's renewal process.
In an interview with Vietnam News Agency correspondents in Russia during his business trip to attend the JINR Plenipotentiary Representative Meeting, Dr. Tran Tuan Anh, VAST Vice President, shared that Resolution 45 on developing the intellectual workforce, and Resolution 57 on developing science, technology, innovation, and digital transformation, issued by the Party Central Committee, will make the training of the next generation of scientists at Dubna more significant.
Recently, with the resumption of the policy on the use of atomic power and the atomic power development master plan, the Vietnamese scientists working and studying at the institute will also make important contributions to socio-economic development, helping in the high-level training of scientific and technical expertise, especially in fundamental science and its applications.
Dr. Grigory Trubnikov, Academician of the Russian Academy of Science and JINR Director, stated that there are currently about 30 Vietnamese scientists working at the Dubna Institute. Additionally, the institute is set to welcome nearly 20 others, demonstrating that its research field aligns with the interests of the Vietnamese Government.
Vietnam's policy for significant development in the field of science and technology has been embraced by the young scientific community at the Dubna Institute, sparking a new and strong motivation for international cooperation, and scientific research, and establishing the country’s solid presence in the global high-tech science and technology arena.

предыдущий месяц

1998-2025

следующий месяц