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Monday, March 09, 2026

Guardians Of Hydropower

Storvassdammen in Bykle, Agder, is Norway’s largest rockfill dam and a key component of Statkraft’s hydropower system. It is one of many Norwegian facilities where NGI experts have contributed to dam safety, design, and risk assessments over several decades. 

Photo: Martin NH / Wikimedia Commons.

March 9, 2026\
By Eurasia Review


Norway’s rockfill dams hold billions of cubic metres of valuable water in place high in the mountains. Behind every dam stands an extensive safety system and decades of engineering expertise that have been critical to Norwegian energy production.

When Norwegians think about their electricity supply, many picture power lines and wall sockets. Few think about the dams themselves: massive structures of rock and earth that hold back enormous volumes of water. They form the foundation of the country’s energy security – but many of them are now ageing.

“Most of Norway’s large rockfill dams were built from the 1950s onwards, especially during the 1960s, 70s, and 80s. That creates a significant need for renewed safety assessments, maintenance, and rehabilitation,” says Arnkjell Løkke, Head of Section Dam Safety at NGI.
A collaboration that shaped Norway

Statkraft is by far Norway’s largest dam owner, operating around 500 dams in the country alone, in addition to a substantial international portfolio. The company manages roughly half of Norway’s total reservoir capacity.

NGI’s role in this story reaches back to the institute’s early years. During the 1960s and 70s, dam-related work accounted for the majority of the institute’s revenue. Many of NGI’s most prominent researchers built their reputations through this work.

“NGI has designed and supervised construction for roughly two-thirds of all large rockfill dams in Norway. That is a legacy we manage with both pride and a strong sense of responsibility,” says Løkke.
Norwegian nature enables unique solutions

While many countries traditionally built concrete dams or earthfill dams, Norway developed its own approach. Many dams sit high in the mountains, where roads and logistics pose major challenges. Engineers, therefore, relied on materials already available in the landscape: glacial moraine deposits.

“When the glaciers retreated after the last Ice Age, they left behind well‑graded deposits – mixtures of rock, gravel, sand, and silt. When you compact this material, it becomes highly watertight. That makes it ideal as the sealing core in rockfill dams,” Løkke explains.

Norway also has strong bedrock and high‑quality stone, and tunnel excavation for hydropower plants often produces large volumes of surplus rock. The result is rockfill dams with a central moraine core – a dam type that has become a Norwegian hallmark and delivered robust, cost‑effective solutions.

Norwegian rockfill dams are often built with an impermeable moraine core surrounded by rockfill made from locally sourced materials. For several decades, NGI has contributed to the design, analysis and safety assessment of such dam structures in Norway’s demanding mountain terrain.
From safety factors to risk analysis

Norway’s dam safety regulations are largely deterministic, based on detailed requirements for safety factors, material sizes, and structural design. But reality is more complex than what regulations alone can capture.

“The regulations do not sufficiently account for variations between dams and site‑specific conditions. How a dam has behaved over time, local hydrology, the geology at the dam site – all of this influences its actual safety,” says Løkke.

Internationally, a more risk‑based approach has therefore emerged, known as risk‑informed decision‑making. Instead of only asking whether a dam meets a specific safety factor, engineers ask: what is the actual probability of failure, and what would the consequences be?

NGI uses analytical tools such as event‑tree analysis and probabilistic Monte Carlo simulations to map the risks associated with a range of possible failure mechanisms. What happens during extreme floods? During earthquakes? Or during slow internal erosion over decades?

“When we complete these analyses, we are much better equipped to identify concrete risk‑reducing measures. You gain a comprehensive picture that allows you to prioritise actions where each invested krone delivers the greatest risk reduction,” says Løkke.

Statkraft has adopted NGI’s risk‑based methodology more extensively than any other Norwegian dam owner. In recent years, NGI has carried out risk analyses for more than a dozen dams for the company.

“We always learn something new about the dams. These analyses go beyond standardised assessments and systematically examine the entire picture of what can go wrong, how it might happen, and which factors influence the probability,” says Løkke.
Climate change raises the stakes

Future challenges do not only involve ageing infrastructure. Climate change is bringing more intense rainfall and new flood patterns. Storms such as “Dagmar” in 2011 and “Hans” in 2023 have revealed vulnerabilities in Norway’s river systems.

Statkraft plans to invest NOK 27 billion in more than 200 hydropower projects before 2030. A significant share of this investment will go toward rehabilitating dams such as Kjela, Nesjødammen, and Bjølsegrø to meet both present and future requirements.

The overarching goal is simple: it should be just as safe to live downstream from an old dam as from a new one.

“For NGI, this means continuing the work that began more than 60 years ago: ensuring that the foundation of Norwegian hydropower remains secure for generations to come,” Løkke concludes.

Eurasia Review is an independent Journal that provides a venue for analysts and experts to publish content on a wide-range of subjects that are often overlooked or under-represented by Western dominated media.

Sunday, March 08, 2026

 

Scientist patents invention that can reduce damage from earthquakes




University of Sharjah
Cylinder filled with steel 

image: 

“When the attached structure vibrates, the shaft moves back and forth inside the cylinder, and the rods push through the densely packed balls.” Credit: Moussa Leblouba

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Credit: Moussa Leblouba





By Emenyeonu Ogadimma, University of Sharjah

A newly granted United States patent unveiled an innovative energy-dissipation device designed to protect buildings, infrastructure, and sensitive equipment from earthquakes, strong winds, and man-made vibrations.

Granted by the United States Patent and Trademark Office in December 2025, the invention represents a significant milestone toward developing affordable, reliable, and power-independent systems capable of safeguarding structures exposed to extreme forces.

“Earthquakes, strong winds, and even everyday vibrations from trains or machinery can cause serious damage to buildings, bridges, and sensitive equipment,” explains inventor Prof. Moussa Leblouba, a professor of civil engineering at the University of Sharjah. “Traditional solutions to this problem, such as fluid-based dampers or deformable metal devices, tend to be expensive, prone to leakage or permanent deformation, and often require complete replacement after a single major event.”

Prof. Leblouba’s invention takes a fundamentally different approach. The device consists of a hollow cylinder filled with solid steel balls and a central shaft fitted with short rods that extend outward like the branches of a tree. It is purposefully engineered to overcome the shortcomings of current seismic-protection technologies.

These devices, he notes, often fail precisely because earthquakes knock out the power they depend on. “Our device needs no power at all; it works through pure physics, through friction, it is passive.”

According to the patent report, the invention “relates to an energy dissipation device and system, comprising a hollow cylinder adapted to be filled with solid balls, and a longitudinal” member of shaft equipped with short rods protruding radially from it.

“The shaft having rods is movably disposed of within the hollow member, and solid balls are filled and secured in the cylinder thereafter, such that two ends of the longitudinal member extend outside of the hollow member, and the rods and solid balls remain within the hollow cylinder.”

Elaborating on his invention, Prof. Leblouba, whose research focuses on structural dynamics, seismic protection, and resilient infrastructure, said, “When the attached structure vibrates, the shaft moves back and forth inside the cylinder, and the rods push through the densely packed balls. The friction generated between the balls and the rods absorbs and dissipates the vibration energy.”

Simple and low-cost device with huge practical benefits

There is a clear takeaway from Prof. Leblouba’s newly invented apparatus: it is simple, practical, and highly user-friendly. The device is constructed from a small number of ordinary, affordable components – a cylinder, a shaft, steel balls, and short rods - that can be assembled on-site without specialized expertise.

More importantly, the device is exceptionally reliable. “Because it requires zero electrical power, it cannot be rendered inoperative by a power outage during the very disaster it’s designed to withstand. Every component is individually removable and replaceable, so if one part is damaged, you don’t need to discard the whole device,” Prof. Leblouba said in his demonstration, highlighting the invention’s practical advantages.

The system is also versatile. It can be easily tuned to suit different structures and load types, from a high-rise building in a seismic zone to sensitive military or scientific equipment, simply by adjusting the number, size, and arrangement of the rods and steel balls.

“What excites me most is the simplicity,” he said. “The components are ordinary: steel balls, a shaft, and a cylinder, but the way they work together is effective. In our tests, the device achieved an effective damping ratio of about 14%, which is very promising for a purely passive system.”

“One of its most compelling advantages is that it can be retrofitted into existing structures since it doesn’t need to be designed into the building from the start,” Prof. Leblouba added.

Affordable, easy to install, and accessible, the device provides a viable solution for low-income countries. “I believe the simplicity and cost-effectiveness of the device make it particularly attractive for deployment in developing regions with high seismic risk.”

A technology with wide-ranging applications

Energy dissipation systems are essential to modern engineering, especially as urban development expands into seismically active and climate-vulnerable regions. Yet many existing systems are costly, difficult to maintain, or reliant on power sources that may fail during disasters. Prof. Leblouba’s invention addresses these challenges directly.

A defining feature of the device is its ability to recover its original shape after a major event. “It returns to its original position once the shaking stops,” Prof. Leblouba maintained. “That’s a major advantage over many metallic dampers.”

The device offers broad applicability. In civil engineering, it can be installed in buildings, bridges, and towers to safeguard them against earthquake forces and wind-induced vibrations. It is equally relevant for infrastructure such as electrical and communication installations, where even minor vibrations can disrupt service.

“Beyond construction, the technology can be applied to vehicles, aircraft, aerospace vehicles, and ships to dampen unwanted vibrations. It is also well-suited for protecting sensitive scientific instruments and military equipment from shock and vibration,” Prof. Leblouba said.

Originally developed for earthquake-resistant construction, the technology now demonstrates a wide range of real-world applications. These include buildings, bridges, towers, and electrical and communication infrastructure, as well as vehicles, aircraft, ships, aerospace systems, and sensitive scientific or military equipment.

Future Work: From Patent to Practice

Building on promising early laboratory results, Prof. Leblouba is now preparing to advance from controlled experiments to more realistic testing environments. To date, the system has demonstrated consistent performance across displacement amplitudes of 1 to 5 millimeters, achieving an average effective stiffness of approximately 5 kilonewtons per millimeter – an important benchmark for devices designed to reduce structural damage during seismic events.

The next phase of development will scale the device for larger structural applications and subject it to realistic seismic loading, including shake-table tests using small-scale structural models. In parallel, the research team is refining the device’s internal configuration to optimize its performance under diverse operating conditions.

“The next phase of research will focus on scaling the device for larger structural applications and testing it under realistic seismic loading conditions, including shake-table tests with small-scale structural models,” Prof. Leblouba emphasized.

He added that the team will investigate variations in the number, position, and shape of the rods, as well as the size and material of the balls, to enhance energy dissipation for specific structures and loading scenarios.

 Shaft and cylinder 

The device consists of a hollow cylinder filled with solid steel balls and a central shaft fitted with short rods that extend outward like the branches of a tree. 

Credit

Moussa Leblouba

 

Six years of field data show how climate and light shape early growth of abarco, informing reforestation in Colombia




University of Eastern Finland
Abarco tree 

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An abarco tree.

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Credit: Alexander Pulgarin Diaz




A new study shows how climate and light conditions interaction affect the early growth in abarco, a highly valued tropical timber species, offering critical guidance for reforestation and sustainable forest management in the face of climate change.

Abarco – a native South American tree prized for its timber and ecological importance – shows strong early growth and survival but also sensitivity to air humidity and sunlight intensity, according to researchers from the University of Eastern Finland and AGROSAVIA – Colombia.

Although large-scale abarco plantations remain scarce in Colombia, the species ranks among the country’s most commercially traded timber species. To promote the expansion of native tree plantations, the Government of Colombia added abarco to its 2025 list of species eligible for financial incentives under commercial reforestation programmes.

The team studied young abarco trees over six years in permanent plots in full sun and in partial shade. They measured diameter, height, crown development, qualitative attributes and health indicators, linking these patterns with climate variables such as rainfall, temperature, humidity and sunlight intensity.

Their results showed that abarco seedlings grew steadily under both light conditions, with diameter growth particularly enhanced in full sun. Growth was correlated with several key climate factors, especially relative humidity, and light availability – indicating that well-lit environments may support more robust development. Survival remained high overall, and pest and disease symptoms were low and more frequently observed in shaded conditions during the early years of the study.

“We found that abarco has strong early growth potential,” says lead author Dr Alexander Pulgarín Díaz of the University of Eastern Finland. “Understanding how climate and light influence young trees helps forest managers make better decisions about where and how to plant this species as climates continue to change.” This study also supports evidence-based decisions in forest restoration, commercial reforestation and conservation efforts, particularly for tropical regions where knowledge of native species’ ecology remains limited.

The study is the first long-term analysis of permanent plots to quantify early growth, survival and climate sensitivity of abarco from seedling establishment through six years under contrasting light conditions. By combining repeated annual measurements with climate data, it provides unprecedented evidence for a widely harvested yet understudied tropical timber species.

This work was funded by the Corporación Colombiana de Investigación Agropecuaria-AGROSAVIA, the LUMETO Doctoral Programme and the School of Forest Sciences at the University of Eastern Finland.

UH OH

With Evo 2, AI can model and design the genetic code for all domains of life


The largest foundation model for biology to date is now published in the journal Nature




Arc Institute

The language of life 

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This illustration depics how Evo 2 learns the genetic language shared by all living things, from woolly mammoths to bacteria.

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Credit: Arc Institute





The DNA foundation model Evo 2, first released in February 2025 as a preprint, is now published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across disparate organisms that experimental researchers would need years to uncover. The machine learning model can accurately identify disease-causing mutations in human genes and is capable of designing new genomes that are as long as the genomes of simple bacteria.

Evo 2 was developed by scientists from Arc Institute and NVIDIA, convening collaborators across Stanford University, UC Berkeley, and UC San Francisco. The model's code is publicly accessible from Arc's GitHub, and is also integrated into the NVIDIA BioNeMo framework, as part of a collaboration between Arc Institute and NVIDIA to accelerate scientific research. Arc Institute also worked with AI research lab Goodfire to develop a mechanistic interpretability visualizer that uncovers the key biological features and patterns the model learns to recognize in genomic sequences. The Evo team has shared its training data, training and inference code, and model weights, making it the largest-scale, fully open source AI model to date.

Building on its predecessor Evo 1, which was trained entirely on single-cell genomes, Evo 2 is the largest artificial intelligence model in biology to date, trained on over 9.3 trillion nucleotides—the building blocks that make up DNA or RNA—from over 128,000 whole genomes as well as metagenomic data. In addition to an expanded collection of bacterial, archaeal, and phage genomes, Evo 2 includes information from humans, plants, and other single-celled and multi-cellular species in the eukaryotic domain of life.

"Our development of Evo 1 and Evo 2 represents a key moment in the emerging field of generative biology, as the models have enabled machines to read, write, and think in the language of nucleotides," says Patrick Hsu, Arc Institute Co-Founder, Arc Core Investigator, an Assistant Professor of Bioengineering and Deb Faculty Fellow at University of California, Berkeley, and a co-senior author on the paper. "Evo 2 has a generalist understanding of the tree of life that's useful for a multitude of tasks, from predicting disease-causing mutations to designing potential code for artificial life. We're excited to see what the research community builds on top of these foundation models."

Evolution has encoded biological information in DNA and RNA, creating patterns that Evo 2 can detect and utilize. "Just as the world has left its imprint on the language of the Internet used to train large language models, evolution has left its imprint on biological sequences," says co-senior author Brian Hie, an Assistant Professor of Chemical Engineering at Stanford University, the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and Arc Institute Innovation Investigator in Residence. "These patterns, refined over millions of years, contain signals about how molecules work and interact."

Evo 2 was trained for several months on the NVIDIA DGX Cloud AI platform via AWS, utilizing over 2,000 NVIDIA H100 GPUs and bolstered by collaboration with NVIDIA researchers and engineers. The model can process genetic sequences of up to 1 million nucleotides at once, enabling it to understand relationships between distant parts of a genome. Achieving this technical feat required the research team to reimagine how an AI model could quickly ingest and make inferences about this scale of data. The resulting AI architecture, called StripedHyena 2, enabled Evo 2 to be trained with 30 times more data than Evo 1 and reason over 8 times as many nucleotides at a time.

The model already shows enough versatility to identify genetic changes that affect protein function and organism fitness. For example, in tests with variants of the breast cancer-associated gene BRCA1, Evo 2 achieved over 90% accuracy in predicting which mutations are benign versus potentially pathogenic. Insights like this could save countless hours and research dollars needed to run cell or animal experiments, by finding genetic causes of human diseases and accelerating the development of new medicines.

In the year since its preprint release, researchers have applied the model to a range of scientific problems, from predicting genetic disease risk in Alzheimer's patients to assessing variant effects across domesticated animal species. Arc researchers have also used Evo 2 to design functional synthetic bacteriophages, demonstrating potential applications for treating antibiotic-resistant bacteria.

In addition to genetic analysis, Evo 2 could be useful for engineering new biological tools or treatments. "If you have a gene therapy that you want to turn on only in neurons to avoid side effects, or only in liver cells, you could design a genetic element that is only accessible in those specific cells," says co-author and computational biologist Hani Goodarzi, an Arc Core Investigator and an Associate Professor of Biochemistry and Biophysics at the University of California, San Francisco. "This precise control could help develop more targeted treatments with fewer side effects."

The research team envisions that more specific AI models could be built with Evo 2 as a foundation. "In a loose way, you can think of the model almost like an operating system kernel—you can have all of these different applications that are built on top of it," says Arc's Chief Technology Officer Dave Burke, a co-author on the paper. "From predicting how single DNA mutations affect a protein's function to designing genetic elements that behave differently in different cell types, as we continue to refine the model and researchers begin using it in creative ways, we expect to see beneficial uses for Evo 2 we haven't even imagined yet."

In consideration of potential ethics and safety risks, the scientists excluded pathogens that infect humans and other complex organisms from Evo 2's base data set, and ensured that the model would not return productive answers to queries about these pathogens. Co-author Tina Hernandez-Boussard, a Stanford Professor of Medicine, and her lab members assisted the team to implement responsible development and deployment of this technology.

"Evo 2 has fundamentally advanced our understanding of biological systems," says Anthony Costa, director of digital biology at NVIDIA. "By overcoming previous limitations in the scale of biological foundation models with a unique architecture and the largest integrated dataset of its kind, Evo 2 generalizes across more known biology than any other model to date — and by releasing these capabilities broadly, Arc Institute has given scientists around the world a new partner in solving humanity's most pressing health and disease challenges."

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Brixi, G., Durrant, M.G., Ku, J., Naghipourfar, M., Poli, M., Brockman, G., Chang, D., Fanton, A., Gonzalez, G.A., King, S.H., Li, D.B., Merchant, A.T., Nguyen, E., Ricci-Tam, C., Romero, D.W., Schmok, J.C., Sun, G., Taghibakhshi, A., Vorontsov, A., Yang, B., Deng, M., Gorton, L., Nguyen, N., Wang, N.K., Pearce, M.T., Simon, E., Adams, E., Amador, Z.J., Ashley, E.A., Baccus, S.A., Dai, H., Dillmann, S., Ermon, S., Guo, D., Herschl, M.H., Ilango, R., Janik, K., Lu, A.X., Mehta, R., Mofrad, M.R.K., Ng, M.Y., Pannu, J., Ré, C., St. John, J., Sullivan, J., Tey, J., Viggiano, B., Zhu, K., Zynda, G., Balsam, D., Collison, P., Costa, A.B., Hernandez-Boussard, T., Ho, E., Liu, M.-Y., McGrath, T., Powell, K., Pinglay, S., Burke, D.P., Goodarzi, H., Hsu, P.D., & Hie, B.L.  (2026). Genome modeling and design across all domains of life with Evo 2. Naturehttps://doi.org/10.1038/s41586-026-10176-5

Arc Institute is an independent nonprofit research organization based in Palo Alto, California, that aims to accelerate scientific progress and understand the root causes of complex diseases. Arc's investigators are supported by long-term funding and freedom to pursue bold ideas. Its Technology Centers leverage multi-omics, genome engineering, and cellular, mammalian and computational models to advance discoveries at the intersection of biology and artificial intelligence. Founded in 2021, Arc partners with Stanford, UC Berkeley, and UCSF.