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A research team from the School of Engineering at the Hong Kong University of Science and Technology has developed a new computational model to study the movement of granular materials such as soils, sands and powders. By integrating the dynamic interactions among particles, air and water phases, this state-of-the-art system can accurately predict landslides, improve irrigation and oil extraction systems, and enhance food and drug production processes.

The flow of granular materials—such as soil, sand and powders used in pharmaceuticals and food production—is the underlying mechanism governing many natural settings and industrial operations. Understanding how these particles interact with surrounding fluids like water and air is crucial for predicting behaviors such as soil collapse or fluid leakage.

However, existing models face challenges in accurately capturing these interactions, especially in partially saturated conditions where forces like and viscosity come into play.

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Irritable bowel syndrome (IBS) is a prevalent and debilitating gastrointestinal disorder affecting approximately 5%–10% of the global population. Characterized by abdominal pain, bloating, and altered bowel habits, IBS imposes a significant burden on quality of life and health care systems worldwide.

Despite its prevalence, the exact pathogenesis of IBS remains elusive, and effective prevention strategies are lacking. Di Liu and colleagues conducted a comprehensive Mendelian randomization (MR) study—an approach that uses genetic variants as instrumental variables to infer causality.

The study integrates Mendelian randomization (MR) and multiresponse MR (MR2) analyses to distinguish genuine causal relationships from shared or spurious associations. The research is published in the journal eGastroenterology.

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Whether diving off docks, cannonballing into lakes or leaping off the high board, there’s nothing quite like the joy of jumping into water.

Olympic divers turned this natural act into a sophisticated science, with the goal of making a as small as possible. But another sport looks for just the opposite: the extreme maximum splash, one as high, wide and loud as possible.

Welcome to the world of “manu jumping.” Although not a familiar term in the United States, manu jumping is beloved throughout New Zealand. The sport originated in the Māori community, where popping a manu is a way of life. There, manu jumpers leap from bridges, wharves and diving platforms to make the giant splashes.

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A team of researchers from TU Dortmund University, the University of Paderborn, and the University of Nottingham has developed a new optical method to detect ultra-weak atomic motion. Their experiment performed in Dortmund has demonstrated unprecedented sensitivity of the detection of atomic motion in crystals by exploiting light interference.

The findings, recently published in Nature Materials, open new ways for studying ultrafast processes in materials.

Precise optical measurements rely on interferometers, where the beam probing a distance of interest interferes with a reference beam traveling a fixed path. This allows for assessing the path length difference of the two beams with high precision. A striking example is gravitational interferometers, which detect induced by a distant event in the universe, such as the collision of black holes.

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Quantum annealing is a specific type of quantum computing that can use quantum physics principles to find high-quality solutions to difficult optimization problems. Rather than requiring exact optimal solutions, the study focused on finding solutions within a certain percentage (≥1%) of the optimal value.

Many real-world problems don’t require exact solutions, making this approach practically relevant. For example, in determining which stocks to put into a mutual fund, it is often good enough to just beat a leading market index rather than beating every other stock portfolio.

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High-energy particles or gamma rays are usually needed to kick an atomic nucleus up to a higher-energy state. But last year, scientists excited thorium-229 nuclei with just laser light (see Viewpoint: Shedding Light on the Thorium-229 Nuclear Clock Isomer). Laser-excited nuclei could be useful for making precise timekeepers and sensitive quantum sensors. And now, Wolfram Ratzinger at the Weizmann Institute of Science in Israel and his colleagues have shown how these nuclei also provide a way to detect certain speculative particles that may constitute dark matter [1].

Several models of dark matter involve axions or other extremely light bosons. Thanks to their lightness, these particles would have to be abundant—so much so that they would collectively behave like a classical field, oscillating at a frequency proportional to their mass. The particles’ interactions with the building blocks of nuclei—quarks and gluons—would cause various nuclear properties to oscillate at that same frequency. Among those properties is the energy of the photon emitted by an excited thorium-229 nucleus. Crucially, the oscillations in that energy are predicted to be much more pronounced, and therefore easier to detect, than those in other properties.

Ratzinger and his colleagues conducted the first-ever search for these oscillations in a previously reported spectrum of light emitted by excited thorium-229 nuclei. Finding no oscillations, the researchers set upper limits on the coupling strength of ultralight dark matter particles to quarks and gluons for particles ranging in mass from 10–20 to 10–13 eV. These limits are less stringent than those obtained through other means, but the team anticipates that ongoing and future experiments could set much stronger and possibly decisive constraints.

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To validate these simulated results, PhD student Omri Cohen fabricated a series of disks from two polymer layers. The lower layer was patterned with a regular matrix and the upper one consisted of thin lines radiating out from the center. When the disks were heated and then cooled again, the matrix layer remained the same, while the upper layer contracted by a varying amount along the radial direction. This difference induced a curvature in the disk, and the team was able to replicate the simulated series of shape transitions by varying the curvature and thickness of the disks.

Further analysis shows that the formation of each cusp acts as a focal point for the stresses that accumulate in the petal. In older petals this localized concentration of stress inhibits growth around the cusps, producing a concave distortion on the rounded edge of the petal. “This completes a nice feedback cycle,” explains Sharon. “Simple growth first generates Mainardi-Codazzi-Peterson incompatibility, leading to a mechanical instability that forms cusps. These cusps then focus the stress, which affects the further growth of the tissue.”

Understanding the mechanical mechanisms that alter the shape of rose petals as they grow could inform the design of self-shaping materials and structures for applications like soft robotics and deployable spacecraft. “The idea is to program internal forces to enable the material to shape itself, and this work offers a new strategy for creating more localized shaping,” explains Benoît Roman of ESPCI ParisTech, an expert in shape-changing materials. “But the real value of this study is that it provides a perfect example of using physics to uncover and describe a deep and general phenomenon.”

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When zebrafish are relocated to a new environment, they seek protection by diving and staying at the safety home, until they feel safe enough to explore the unfamiliar environment (26). The swimming trajectories showed that zebrafish in the control group can swiftly explore and adapt to the novel environment, but chronic exposure to acrylamide reduces the ability to adapt to the unfamiliar environment (Fig. 3 A). Visualized heatmaps showed significant changes in swimming trajectories of zebrafish in the acrylamide exposure groups compared with those in the control group (Fig. 3 B). Furthermore, we found the swimming time and distance ratios in Zone 1 exhibited a dose-dependent decreasing trend in acrylamide exposure groups. Chronic exposure to acrylamide (0.5 mM) significantly decreased both swimming time and distance in Zone 1 and increased those in Zone 2 (Fig. 3 C and D). We recorded the novel object exploration test to visualize the behavioral alteration between the control and each acrylamide-treated group (Movie S3). The movie displays that zebrafish in the control group could swiftly explore and adapt to the novel environment, but chronic exposure to acrylamide reduced the ability to adapt to the unfamiliar environment, which indicated that acrylamide induces anxiety-and depressive-like behaviors by reducing exploration ability of zebrafish.

Moreover, the social preference test was used to assess sociality of zebrafish. Since the zebrafish are a group preference species, they frequently swim by forming a school and swim closely to one another (27). In the current social preference test, representative radar maps and visualized heatmaps exhibited significant changes of preference in swimming trajectories of zebrafish in acrylamide exposure groups compared to those in the control group, indicating that chronic exposure to acrylamide remarkably impairs the sociality of zebrafish (Fig. 3 E–G). For detailed parameters of behavioral trajectories, chronic exposure to acrylamide (0.5 mM) significantly increased both swimming time and distance ratios in the left zone and decreased those in the right zone (Fig. 3 H and I). Notably, chronic exposure to acrylamide (0.5 mM) significantly elevated traversing times and number of crossing the middle line (Fig. 3 J and K).

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Astronomers have developed a computer simulation to explore, in unprecedented detail, magnetism and turbulence in the interstellar medium (ISM)—the vast ocean of gas and charged particles that lies between stars in the Milky Way galaxy.

Described in a study published in Nature Astronomy, the model is the most powerful to date, requiring the computing capability of the SuperMUC-NG supercomputer at the Leibniz Supercomputing Center in Germany. It directly challenges our understanding of how magnetized turbulence operates in astrophysical environments.

James Beattie, the paper’s lead author and a postdoctoral researcher at the Canadian Institute for Theoretical Astrophysics (CITA) at the University of Toronto, is hopeful the model will provide new insights into the ISM, the magnetism of the Milky Way galaxy as a whole, and astrophysical phenomena such as star formation and the propagation of cosmic rays.

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Since Nick Bostrom wrote Superintelligence, AI has surged from theoretical speculation to powerful, world-shaping reality. Progress is undeniable, yet there is an ongoing debate in the AI safety community – caught between mathematical rigor and swiss-cheese security. P(doom) debates rage on, but equally concerning is the risk of locking in negative-value futures for a very long time.

Zooming in: motivation selection-especially indirect normativity-raises the question: is there a structured landscape of possible value configurations, or just a chaotic search for alignment?

From Superintelligence to Deep Utopia: not just avoiding catastrophe but ensuring resilience, meaning, and flourishing in a’solved’ world; a post instrumental, plastic utopia – where humans are ‘deeply redundant’, can we find enduring meaning and purpose?

This is our moment to shape the future. What values will we encode? What futures will we entrench?

0:00 Highlights.
3:07 Intro.
4:15 Interview.

P.s. the background music at the start of the video is ’ Eta Carinae ’ which I created on a Korg Minilogue XD: https://scifuture.bandcamp.com/track/.… music at the end is ‘Hedonium 1′ which is guitar saturated with Strymon reverbs, delays and modulation: / hedonium-1 Many thanks for tuning in! Please support SciFuture by subscribing and sharing! Buy me a coffee? https://buymeacoffee.com/tech101z Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series? Please fill out this form: https://docs.google.com/forms/d/1mr9P… Kind regards, Adam Ford

Continue reading “Nick Bostrom — From Superintelligence to Deep Utopia — Can We Create a Perfect Society?” | >