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Photos of Earth Captured After the Launch of the “Hera” Probe

The first color images of Earth were taken from the Falcon 9 launch vehicle shortly after liftoff. Meanwhile, the black-and-white shots, where Earth appears small, were captured by the “Hera” probe itself from a staggering distance of 1.6 million kilometers.

#falcon
#space
#science
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Hydra Under the Microscope

The hydra preys on invertebrates, most often small crustaceans. It extends its tentacles, waiting patiently for its target. When the prey touches the tentacles, it is struck by the hydra’s stinging cells.

#Hydra #Microscopy #MarineBiology #Invertebrates #Zoology #Science
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A Strange Spider Within a Spider: Cyclosa’s Astonishing Decoy

Something large and bizarre, seemingly assembled from whatever was available – web threads, debris, and remnants – isn’t a creature of nightmares. It’s a decoy.

The real spider, much smaller (only about 5 mm), hides beneath the “abdomen” of its intimidating counterpart.

These clever decoys are crafted by spiders of the Cyclosa genus from the orb-weaver family (Araneidae). Typically, the real spider positions itself on the edge of the web, subtly pulling on the silk threads. This causes the fake spider to move, creating the illusion of a living, menacing predator from afar.

The decoy itself is a masterpiece of recycling. Cyclosa spiders construct it from leaf fragments, leftover egg sacs, and the desiccated bodies of previous victims. These creations serve as a diversion, tricking predators like paper wasps, birds, or lizards into attacking the decoy instead of the spider. This distraction gives the real spider precious time to escape.

There’s also a hypothesis that these web decorations attract more prey. Organic debris on the web hosts yeast-like fungi, which release chemicals that lure insects into the trap, increasing Cyclosa’s hunting success.

#Science #Biology #Arachnology #Spiders #Nature #Evolution #Insects #Survival #Decoy
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🇺🇸 Texas: A single hailstorm destroyed thousands of acres of solar panels, turning the land into a toxic waste site within minutes.

@science
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Water in Zero Gravity! 🚀
Astronaut Don Pettit demonstrates the wonders of microgravity by injecting dye into a floating water sphere aboard the International Space Station (ISS). Without gravity, the water takes on a perfect spherical shape, revealing the fascinating behavior of fluids in space. 🌌💧

#Science #Microgravity #FluidDynamics #ISS #Astronomy #Physics #DonPettit #ScienceIsCool #STEM #SpaceExploration
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A Strong Contender for the Next Nobel Prize

The startup Iambic has made a breakthrough that surpasses Google DeepMind’s AlphaFold. While AlphaFold, the AI system developed by Google DeepMind, recently earned a Nobel Prize in Chemistry for predicting the 3D structure of how molecules bind to target proteins, this is just the beginning. It’s impressive but not enough to drastically reduce the time (10-15 years) and costs ($1-2.6 billion per drug) required to bring new medicines to market.

Iambic has taken it a step further by developing an AI model that predicts, with remarkable accuracy, how well a human body will absorb a specific drug candidate. The predictions are validated against real-world data, making it a promising tool for pharmaceutical development.

The success of a drug candidate depends on several key properties—pharmacokinetics, efficacy, and toxicity. These are exactly the factors predicted by Iambic’s AI-powered drug discovery platform called Enchant, which boasts a predictive accuracy of 0.74, compared to just 0.58 achieved by previous models.

The Enchant model could potentially cut the costs of drug development in half, allowing pharmaceutical companies to assess a drug’s potential success at the earliest stages of research.

To understand the significance of Iambic’s breakthrough, consider the vast competition in the “AI in Biomedicine” sector, where more than 8,600 companies are racing to unlock the next major innovation (as shown in the chart above). In the sub-segment of “AI-based Analytics Platforms for Drug Development” alone, the number of companies has grown fourfold in the last three years, now standing at 950 competitors (see the chart below).

#AI #DeepPharma #DrugDiscovery #Biotech #Pharmacology #AlphaFold
#science
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A Strong Contender for the Next Nobel Prize

The startup Iambic has made a breakthrough that surpasses Google DeepMind’s AlphaFold. While AlphaFold, the AI system developed by Google DeepMind, recently earned a Nobel Prize in Chemistry for predicting the 3D structure of how molecules bind to target proteins, this is just the beginning. It’s impressive but not enough to drastically reduce the time (10-15 years) and costs ($1-2.6 billion per drug) required to bring new medicines to market.

Iambic has taken it a step further by developing an AI model that predicts, with remarkable accuracy, how well a human body will absorb a specific drug candidate. The predictions are validated against real-world data, making it a promising tool for pharmaceutical development.

The success of a drug candidate depends on several key properties—pharmacokinetics, efficacy, and toxicity. These are exactly the factors predicted by Iambic’s AI-powered drug discovery platform called Enchant, which boasts a predictive accuracy of 0.74, compared to just 0.58 achieved by previous models.

The Enchant model could potentially cut the costs of drug development in half, allowing pharmaceutical companies to assess a drug’s potential success at the earliest stages of research.

To understand the significance of Iambic’s breakthrough, consider the vast competition in the “AI in Biomedicine” sector, where more than 8,600 companies are racing to unlock the next major innovation (as shown in the chart above). In the sub-segment of “AI-based Analytics Platforms for Drug Development” alone, the number of companies has grown fourfold in the last three years, now standing at 950 competitors (see the chart below).

#AI #DeepPharma #DrugDiscovery #Biotech #Pharmacology #AlphaFold
#science
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🚀 Boston Dynamics Unveils Impressive New Demo of Atlas Robot

Boston Dynamics recently released a fascinating video showcasing its humanoid robot, Atlas. In the demo, Atlas autonomously moves engine covers from one container to another—no remote control, no cheats, just pure automation. This subtle dig at other robotics initiatives, like Elon Musk’s Optimus, underscores Boston Dynamics’ commitment to genuine autonomy.

The demo is impressive: Atlas maintains stable mobility, performs complex tasks with minimal errors, and shows a clear capacity for “intelligent” actions. If this isn’t cherry-picking but a real demonstration of Atlas’s consistent capabilities, it might just be the most advanced humanoid robot in the world right now.

#BostonDynamics #AtlasRobot #HumanoidRobots #Robotics #ArtificialIntelligence #Automation #AI
#science
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🚀 China Successfully Tests Supersonic Passenger Jet

The Chinese company Space Transportation has completed successful tests on a passenger jet that can reach speeds of up to Mach 4—twice as fast as the iconic Concorde, which retired in 2003.

According to the company, this revolutionary jet could take passengers from Beijing to New York in just two hours. The first commercial flight is expected as early as 2027, promising a new era in high-speed travel.

#Aviation #SupersonicFlight #science
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🚀 SpaceX to Attempt First-Ever Starship-to-Starship Refueling in March 2025

NASA has announced that SpaceX will conduct a groundbreaking test of orbital fuel transfer between two Starship spacecraft as early as March next year. This in-orbit refueling demonstration is crucial, as it could enable larger payload deliveries beyond Earth’s orbit and support future unmanned missions. Should the test succeed, SpaceX is set to land astronauts on the Moon in September 2026.

#SpaceX #Starship #NASA #SpaceExploration #OrbitalRefueling #MoonMission #FutureOfSpace #TechNews #Science
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Money begets money, success begets success, and Nobels beget Nobels.

Believe it or not, according to Nature, 95% of Nobel laureates (702 out of 736) belong to a single vast academic family tree, a network that I reflects their academic “lineage.” This isn’t just biological; it’s about mentorship—one scientist guiding another, usually as an advisor or mentor. Only a rare few, just 32 laureates, somehow achieved the Nobel without being part of this formidable academic network (you can see them on the left side of the network diagram).

Inside this colossal network lie 33 generations of laureates, all tracing their academic roots back to one progenitor—Erasmus of Rotterdam (1466–1536). He pioneered a system of mentorship that laid the foundation for today’s structured guidance, where knowledge, skills, connections, and experience are passed from one scientist to another, often leading to the highest accolades in science, such as the Nobel.

Opinion:

Success in a scientific career is not so much a matter of talent and hard work, but of connections and prestige.

1. Mentorship is the key driver behind the rise of superstars.
2. Elite mentorship propels scientists to the highest echelons of success.
3. The most critical factor in elite career trajectories isn’t just talent, and it’s not mere luck. It’s specific luck: the luck of having the right mentor.

Thus, superstars are born through mentorship.

Now, after Nature’s publication, the “Mentor Effect” in the “science of success” has earned experimental validation.

Take note, parents and grandparents: where—and with whom—your children and grandchildren learn can shape their paths in ways you might never expect.

Here are some relevant hashtags for your post:

#Science #NobelPrize
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Australian mathematicians have debunked the theorem suggesting that if a monkey were given infinite time with a typewriter, it would eventually produce all of Shakespeare’s works.

Scientists calculated that even if all 200,000 chimpanzees on Earth were made immortal and typed continuously, they still wouldn’t complete Shakespeare’s works before the end of the universe. They based their calculations on the prediction that our universe will cease to exist in a googol years (a number with 100 zeros) according to the heat death theory. Moreover, they didn’t take into account how these typing monkeys would survive the Sun’s eventual engulfment of Earth, expected to happen in a few billion years.

The mathematicians noted that a single chimpanzee would only have a 5% chance of typing the word “banana” in its lifetime. And the probability of a monkey producing a coherent sentence like “I am a chimpanzee, therefore I exist” is one in 10 million billion billion. Shakespeare’s complete works, in comparison, contain 884,647 words.

So, while the theorem holds true in abstract mathematics, it is misleading, as it’s practically unachievable due to the constraints of our actual universe.

#Mathematics #science #MonkeyTheorem
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The Surface of Venus!

Venus is enveloped in a dense, impenetrable atmosphere that’s opaque to visible light. To map its surface, we rely on radar imaging (right image), as radio waves can penetrate the thick atmosphere and reflect back to give us a view. On the left, we see images captured by NASA’s Parker Solar Probe using the WISPR instrument during a close flyby of Venus. These images showcase the planet’s night side and were taken in the near-infrared range, allowing us to glimpse features beneath the clouds, revealing hints of the planet’s rugged landscape.

#space #science
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In a groundbreaking study, scientists have engineered mice with an enlarged cerebral cortex, resulting in more active and sociable behavior compared to typical rodents. By introducing Yamanaka factors early in development, these mice experienced brain growth with a greater number of neurons and glial cells. Remarkably, the same treatment suppressed degeneration in adult mice models of Alzheimer’s disease, likely by boosting cell proliferation. Read more here.

Such cell technologies may soon enable us to manipulate organ size or cellular composition—transforming one cell type into another. Recently, human blood cells were reprogrammed into corneal cells to restore vision in people with poor eyesight, applied in a thin layer over the eye (source). Other researchers are converting cancer cells into immune cells within tumors, effectively “dissolving” the tumor from the inside (source). In another bold experiment, mature cells were reverted to embryonic states, hinting at the potential for limb regeneration akin to that seen in axolotls (source).

While these are still early experiments, they’re growing rapidly in number and in significance. The potential of managing cell fate in vivo could revolutionize medicine, enabling us to heal, replace, rejuvenate, or even redesign tissues, organs, and organisms. The impact of this technology could be profound.

A fresh perspective sees the cell not as a simple ‘chemical factory’ but as a programmable agent, capable of assuming a vast array of identities. A new study even suggests that memory and learning aren’t exclusive to neurons; other cells exhibit a form of “cognition,” distributing a sort of agency across tissues (source).

Finally, a thought-provoking Cell review suggests that brain organoids might soon enable the human brain’s development to take on previously unknown pathways:
“Pushing evolution further may reveal new mechanisms, even leading to engineered cell types capable of tasks beyond the current abilities of the human brain.” (source).

#BiotechRevolution #CellEngineering #FutureOfScience