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A new study has demonstrated the successful use of radioactive ion beams to treat tumors in mice. This innovative approach, published on arXiv.org, represents a significant step forward in cancer therapy. Researchers can monitor the precise location of the treatment in real time.

First Successful Treatment Using Radioactive Ion Beams

This research marks the inaugural use of radioactive particle beams for tumor treatment. Scientists employed a beam of radioactive carbon-11 ions to target a tumor near the mouse’s spine with millimetre precision. This advancement is particularly important for tumours located near sensitive organs, such as the spinal cord or brain stem.

How the Technique Works

Traditional X-ray treatments can damage surrounding tissues due to their broad energy dispersion. In contrast, radioactive ion beams concentrate their energy at specific locations. The carbon-11 ions, which are radioactive due to their unstable atomic structure, release positrons upon decay. These positrons can be detected using positron emission tomography (PET), providing a clear indication of where the beam’s particles have been deposited.

Real-Time Monitoring of Treatment

The innovation in this study lies in the ability to treat the tumor while simultaneously tracking the ion beam’s position. Researchers confirmed the beam’s accuracy, effectively shrinking the tumors. This real-time monitoring ensures accurate targeting, minimising collateral damage to surrounding tissues.

Implications for Future Cancer Treatments

According to a ScienceNews report, attempts to track stable ion beams using PET previously faced challenges due to limited positron emissions from stable isotopes. The use of radioactive ion beams results in significantly higher positron emissions, allowing for detailed imaging and confirmation of treatment effectiveness.

This technique not only enhances the precision of cancer treatments but also offers insights into the behaviour of radioactive materials within the body post-treatment. As research progresses, this innovative approach holds promise for refining cancer therapies, allowing for more effective and targeted treatment strategies.

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026

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August 11, 2025

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026

SpaceX has signed a first-of-its-kind deal with the Italian Space Agency (ASI) to fly Italian science experiments to Mars aboard its Starship rocket. ASI President Teodoro Valente announced that ASI will send its experiments on SpaceX’s first commercial Mars flights. The payloads will include a plant-growth module, a meteorology station and a radiation detector, which will collect data during the roughly six-month journey and on the Martian surface. This landmark agreement represents a new milestone in Mars exploration.

Italian Scientific Experiments on Starship

According to the ASI officials, the payloads include “a plant growth experiment, a meteorological monitoring station and a radiation sensor”. The plant experiment is designed to test how plants grow during the months-long trip and under Mars-like conditions, which will inform future life-support systems. The meteorological module will record Martian weather (temperature, pressure, etc.) to improve understanding of Mars’s climate. The radiation sensor will measure cosmic rays and solar particles during the flight and on Mars’ surface, providing data essential for assessing astronaut safety.

Mission Timeline and Commercial Partnership Implications

Starship has completed only suborbital test flights (nine as of mid-2025) and has not yet reached orbit. SpaceX is targeting the Nov–Dec 2026 Mars launch window, but CEO Elon Musk cautions that “a lot needs to go right” and success is far from guaranteed. Starship itself is a massive two-stage fully reusable rocket built specifically for Mars missions. Meeting these targets depends on completing Starship’s development and test flights.

For SpaceX, the contract turns Starship into a Mars transportation service. The deal lets Italy send experiments to Mars without developing its own rocket. More broadly, it exemplifies a new era in which countries and organizations can purchase payload flights on commercial rockets, benefiting future Mars research.

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SWOT Satellite Captures Tsunami Wave After Kamchatka Quake

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August 11, 2025

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SWOT Satellite Captures Tsunami Wave After Kamchatka Quake

The U.S.-French SWOT (Surface Water and Ocean Topography) satellite captured the leading edge of a tsunami wave that rolled through the Pacific Ocean on July 30, 2025 (11:25 a.m. local time), in the wake of a magnitude 8.8 earthquake that struck Russia’s Kamchatka Peninsula. The satellite captured the data about 70 minutes after the earthquake struck. SWOT is a designed to map oceans and freshwater on Earth. The satellite recorded data from the tsunami as it passed through the deep ocean.

About SWOT

According to NASA, The SWOT satellite was jointly developed by NASA and the French space agency CNES (Centre National d’Études Spatiales). NASA provided the Ka-band radar interferometer (KaRIn) instrument, a GPS science receiver, a laser retroreflector, a two-beam microwave radiometer, and NASA instrument operations. The Doppler Orbitography and Radioposition Integrated by Satellite system, the dual frequency Poseidon altimeter, the KaRIn radio-frequency subsystem, the satellite platform, and ground operations were provided by CNES.

These advanced technology and specialized radar helps SWOT to map the height of the ocean surface. In this case, SWOT’s measurement of the tsunami wave’s height and shape in open water showed that the leading edge of the wave was about 1.5 feet (45 centimeters) high. It also captured the wave’s profile and direction as it traveled toward coastal areas. Such detailed measurements of a tsunami at sea are unprecedented.

Better disaster forecast

The NOAA Center for Tsunami Research tested its forecast models using the new satellite data and found that including SWOT’s measurements could significantly improve forecast accuracy. NASA oceanographer Ben Hamlington noted that even a 1.5-foot tsunami in the deep ocean can amplify into a 30-foot wave at the shore and it is important to detect it early. Vasily Titov, chief scientist at NOAA’s Center for Tsunami Research, added that these observations suggest SWOT could significantly enhance operational tsunami forecasting – a capability long sought since the 2004 Sumatra disaster.

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SpaceX to Fly Italian Science Experiments to Mars on Starship in 2026



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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

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August 10, 2025

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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

Ancient Roman Inscriptions help us understand laws, traditions, economy, and even the emotional perspective of ancient people. Their lives and histories, however, have been rendered difficult to understand because, over time, the inscriptions have been damaged. Every year, there are 1500 Roman inscriptions discovered, albeit many of them are incomplete. Fortunately, advancements in technology like the new Aeneas tool, is helping in the future understanding of the Roman inscriptions. It serves as a large language model specializing in reading, interpreting, and giving context to Roman inscriptions.

Decode Ancient Roman Inscriptions

As Per Report,Drawing its name from a hero in Roman history, Aeneas, the model has been trained on nearly 200,000 latian inscriptions, which span from the 7th century to the 8th century covering regions from Portugal to Iraq.Aneas has the capability to analyze images of damaged inscriptions and predict or even fill in missing letters or words. In addition to that, it is able to determine a time frame and location for the inscription, as well as cross-reference it with other inscriptions containing similar phrases or purposes.

Making History Clearer Through Technology

Since Aeneas is trained exclusively on Latin inscriptions, specialists believe that he is less prone to random or false errors when compared to general AI approaches. University of Sydney historian Anne Rogerson remarked that Aeneas’s proposals, as informed guesses, still involve real historical data as opposed to baseless conjectures.

Despite the model’s open availability,Made public alongside the model’s code and data, Aeneas’s creator, Google DeepMind, offered the model without restrictions.

Most impressively, Aeneas can be accessed for free, enabling students and researchers to shift through and reinterpret previously concealed fragments of Roman history to understand them on a deeper level.

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