Comets are the most likely carriers of life’s essential building blocks to planets in clusters

Nearby neighboring worlds can slow down the comet enough to allow the building blocks of life to survive

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It may be easiest to deliver materials for life to neighboring planets. Comets can carry many of the key building blocks of life, such as amino acids and other organic compounds, but their ability to deliver those building blocks to a particular planet depends on the configuration of their broader systems. It may depend.

There are several ideas about how the ingredients for life began on Earth, but the common idea is that a comet hit the Earth and organic molecules were deposited here. But comets tend to travel through space at extremely high speeds, and if they hit a planet at more than about 20 kilometers per second, the chances of their important compounds surviving the impact are almost zero.

Richard Anslow Researchers at the University of Cambridge ran a series of simulations to investigate how planetary systems can slow down comets and reduce their impact velocity enough to preserve these compounds. In ideal conditions, a slow impact would leave behind a type of prebiotic soup called a comet pond within the impact crater.

They discovered that there are two types of systems that can slow down a comet by 5 to 10 kilometers per second. One is a system with relatively massive stars, where everything tends to orbit slightly. For planets that are slow and have several planets spaced closely together like peas in a pod, the comet could weave between them and lose speed over time. there is.

“The best planetary systems are on relatively low-mass planets like Earth, around high-mass stars similar to the Sun but perhaps even more massive, and close enough for other rocky planets to pass through.” “It would be in a planetary system that has comets around it,” Anslow said.

He said that if astronomers eventually detect signs of life on other planets, simply examining the overall system configuration could help them understand how it got there. and that it could advance our limited understanding of how life formed. Earth.

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Source: www.newscientist.com

DeepMind AI outperforms top weather forecasts, with one caveat

Will the AI ​​tell me if I need an umbrella?

Sebastien Bozon/AFP via Getty Images

AI company Google DeepMind says AI can more accurately predict the weather 10 days out than current state-of-the-art simulations, but meteorologists are still trying to build weather models based on actual physical principles. It warns against abandoning and relying solely on patterns in the data. Expose the shortcomings of AI approaches.

Existing weather forecasts are based on mathematical models, which use physics and powerful supercomputers to definitively predict what will happen in the future. These models have gradually become more accurate by adding more details, but this requires more calculations, more powerful computers, and higher energy demands.

Rémi Lam and his colleagues at Google DeepMind took a different approach. The company’s GraphCast AI model is trained on his 40 years of historical weather data from satellites, radar, and ground-based measurements to identify patterns that even Google DeepMind can’t understand. “As with many machine learning AI models, it’s not that easy to interpret how the model works,” Lamb says.

To make the predictions, actual weather measurements taken at two points six hours apart from more than one million locations around the globe are used to predict the weather six hours into the future. These predictions can be used as input for another round that predicts another 6 hours into the future.

DeepMind researchers carried out this process using data Produces a 10-day forecast from the European Center for Medium-Range Weather Forecasts (ECMWF). They say it outperformed ECMWF’s “gold standard” High Resolution Forecasting (HRES) by providing more accurate forecasts on more than 90 per cent of the data points tested. At some altitudes, this accuracy increased to 99.7%.

Matthew Chantry He, who worked with Google DeepMind at ECMWF, said his organization had previously seen AI as a tool to complement existing mathematical models, but in the past 18 months it has seen a shift in the way AI can actually provide predictions on its own. He said that he has become able to do so.

“We at ECMWF believe this is a very exciting technology that has the potential not only to reduce energy costs when making forecasts, but also to improve them. Creating a reliable operational product “Probably more work is needed, but this is likely the beginning of a revolution in the way weather forecasts are made, and this is our assessment,” he says. According to Google DeepMind, using GraphCast to make a 10-day forecast takes him less than a minute on a high-end PC, but with HRES it can take several hours on a supercomputer.

But some meteorologists are wary of trusting weather forecasting to AI. Ian Renfrew According to researchers at the University of East Anglia in the UK, GraphCast currently lack the ability to marshal data into its own starting state, a process known as data assimilation. In traditional predictions, this data is carefully incorporated into simulations after thorough checks on physics and chemistry calculations to ensure accuracy and consistency. Currently, GraphCast must use a starting state prepared in the same way by ECMWF’s own tools.

“Google won’t be doing weather forecasts any time soon because they can’t assimilate the data,” Renfrew said. “And data assimilation is typically one-half to two-thirds of the computation time for these forecasting systems.”

He says there are also concerns about completely abandoning deterministic models based on chemistry and physics and relying solely on AI output.

“Even if you have the best predictive model in the world, what’s the point if the public doesn’t trust you and you don’t take action? We ordered the evacuation of 30 miles of Florida’s coastline. “If nothing happens, it will blow away the trust that has been built over decades,” he says. “The advantage of a deterministic model is that you can investigate it. If you get a bad prediction, you can investigate why that prediction is bad and target those aspects for improvement.”

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Source: www.newscientist.com

12 Billion Years Ago, JWST Uncovers Secrets of Star-Forming Galaxies

Thanks to the James Webb Space Telescope, astronomers discover that most early galaxies from about 12 billion years ago had more glowing gas than stars due to interactions with neighboring galaxies. I was able to.

This groundbreaking result provides new insights into the evolution of galaxies and the early Universe, and highlights the transformative impact of JWST on astrophysics.

New images from the James Webb Space Telescope (JWST) have helped Australian astronomers uncover the secrets of how infant galaxies began a burst of star formation in the very early universe .Some early galaxies were rich in gas that shined brighter than emerging stars. In a new study, astronomers have discovered just how prevalent these bright galaxies were about 12 billion years ago. Images from JWST show that nearly 90% of galaxies in the early Universe had this glowing gas, creating so-called “extreme emission line features. An image of a distant polar emission galaxy. Observed by the James Webb Space Telescope (left) and the Hubble Space Telescope (right). This comparison highlights the sharpness of the JWST images. Credit: ARC Center of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)

“The stars in these young galaxies were amazing, producing enough radiation to excite the gas around them. This gas, in turn, shined even brighter than the stars themselves.” said Dr. Anshu Gupta, Curtin University Node of the ARC Center for Three-Dimensional All-Sky Astrophysics (ASTRO 3D) and the International Radio Astronomy Research Center.Iqral), lead author of the paper describing this finding. “Until now, it has been difficult to understand how these galaxies are able to accumulate so much gas. Our discovery suggests that each of these galaxies had at least one neighboring galaxy. This suggests that interactions between these galaxies cool the gas and trigger intense star formation episodes, resulting in this extreme luminescence property.” Progress in observing galaxies in the early universe

This discovery is an example of the unparalleled clarity the JWST telescope provides in studying the early universe.

“The quality of data from the James Webb Telescope is exceptional,” says Dr. Gupta. “It has the depth and resolution necessary to observe the surroundings and neighboring galaxies of early galaxies, when the universe was just 2 billion years old. We were able to confirm that there are significant differences in the number of neighboring galaxies among galaxies that do not.”

The target galaxy observed by the James Webb Space Telescope (left) and the Hubble Space Telescope (right). The unprecedented resolution and sharpness of the JWST images allowed us to identify neighboring galaxies (cyan circles) that were not even visible to Hubble. Credit: ARC Center of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D

Until now, we’ve struggled to get clear images of galaxies whose universe is about 2 billion years old. Since many stars had not yet formed, there were far fewer galaxies to focus on, making the task even more difficult.“Before JWST, we could only get pictures of really huge galaxies, most of which were in very dense galaxy clusters, making them difficult to study,” says Dr. Gupta. “With the technology available at the time, it was not possible to observe 95% of the galaxies used in this study. His Webb telescope revolutionized our research.

An image of a distant polar emission galaxy. Observed by the James Webb Space Telescope (left) and the Hubble Space Telescope (right). This comparison highlights the sharpness of the JWST images. Credit: ARC Center of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)

Checking previous assumptions
The discovery proved an earlier assumption, said fellow author Tran, associate director of ASTRO 3D and the Harvard University and Smithsonian Center for Astrophysics. “We suspected that these extreme galaxies were signposts of intense interactions in the early universe, but only with JWST’s keen eye could we confirm our hunch.” she says.

The study is based on data obtained as part of the JWST Advanced Deep Extragacular Survey (JADES) survey, which uses deep infrared imaging and multi-object spectroscopy to explore the universe for the earliest galaxies. It paves the way for further insights. “What’s really interesting about this study is that we see similarities in emission lines between the first galaxies and galaxies that formed more recently and are easier to measure. It means we now have more ways to answer difficult questions about the early Universe,” said second author Ravi Jaiswal, PhD student at Curtin University/ICRAR and ASTRO 3D.

“This research is at the heart of the work of our Galaxy Evolution Programme. Understanding what earlier galaxies looked like will help us answer questions about the origins of the elements that make up all of our daily life on Earth. We can,” said Professor Emma Ryan-Weber, ASTRO 3D Director.

Reference: “MOSEL study: JWST reveals massive mergers/strong interactions in the early universe driving extreme emission lines” Anshu Gupta, Ravi Jaiswar, Vicente Rodriguez-Gomez, Ben Forrest, Kim -Vy Tran, Themiya Nanayakkara, Anishya Harshan, Elisabete Da Cunha, Glenn G. Kapsack, Michaela Harshman, of astrophysical journal.

DOI: 10.48550/arXiv.2311.02158

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Source: scitechdaily.com

The microbiome may be linked to memory loss in Alzheimer’s disease, new study finds

A groundbreaking study proves that Alzheimer’s disease symptoms can be induced in healthy animals through gut microbiome transmission, highlighting the gut-brain connection and suggesting early treatment and treatment of Alzheimer’s disease. New avenues for personalized interventions have been opened.

Researchers have discovered a link between the gut microbiome and gut bacteria. Alzheimer’s disease disease.

For the first time, research has demonstrated that symptoms of Alzheimer’s disease can be transmitted to healthy young organisms through the gut microbiome, confirming its role in Alzheimer’s disease.

The research was led by Professor Yvonne Nolan from APC Microbiome Ireland, the world’s leading SFI-funded research center based at University College Cork (UCC), and Professor Yvonne Nolan from UCC’s Department of Anatomy and Neuroscience. Professor Sandrine Thure, King’s College London, and Dr. Annamaria Cattaneo, IRCCS Fatebenefratelli, Italy.

Scientists have discovered a link between Alzheimer’s disease and the gut microbiome. Pictured are Dr. Stephanie Grabracer and Professor Yvonne Nolan. Credit: UGC

This study confirms that the gut microbiome is emerging as an important research target for Alzheimer’s disease, given its sensitivity to lifestyle and environmental influences.

was announced on brainThis study shows that memory impairment in Alzheimer’s patients can be transferred to younger animals through gut microbiota transplantation.

Alzheimer’s disease, memory impairment, gut microbiome

Patients with Alzheimer’s disease had greater abundance of pro-inflammatory bacteria in their fecal samples, and these changes were directly correlated with the patients’ cognitive status.

Professor Yvonne Nolan said: “The memory test we investigated relies on the growth of new neurons in the hippocampal region of the brain. Animals with the gut bacteria of Alzheimer’s patients produced fewer new neurons and had impaired memory. I found out that it is true.”

“Alzheimer’s patients are typically diagnosed at or after the onset of cognitive symptoms, which may be too late, at least with current treatments. “Understanding the role of gut bacteria could pave the way for the development of new treatments and even personalized interventions,” Professor Nolan said.

Implications for treatment strategies and research collaborations

Alzheimer’s disease is the most common cause of dementia and is a general term for memory loss and other cognitive impairments severe enough to interfere with daily life. As the population ages, one in three people born today could develop Alzheimer’s disease. Funded by Science Foundation Ireland, scientists at UCC are leading the way in healthy brain aging by investigating how the gut microbiome responds to lifestyle influences such as diet and exercise. We are working to develop strategies to accelerate and advance the treatment of Alzheimer’s disease.

Professor Sandrine Thuret, Professor of Neuroscience at King’s College London and one of the study’s senior authors, said: ‘Alzheimer’s disease is an insidious disease and there is still no effective treatment. , represents an important advance in the understanding of this disease, confirming that the composition of our gut microbiota is causally linked to the development of the disease. This collaboration will help future research in this field. We hope that this will lead to potential advances in therapeutic interventions.”

Professor. John F. Cryan, vice president of research and innovation at UCC, who also worked on the study, said: He conducts research into related diseases such as Alzheimer’s disease, and with UCC he recognizes APC Microbiome Ireland as a leading institution in microbiome and brain health research. This research is consistent with our UCC Futures Framework and the University’s strategic plans in the areas of food, microbiome, health and, soon to be launched, Future Aging and Brain Sciences. “

Reference: “The microbiota of Alzheimer’s patients induces defects in cognition and hippocampal neurogenesis” Stephanie Grubrucker, Moira Marizzoni, Edina Silajzic, Nicola Lopizzo, Elisa Mombelli, Sarah Nicolas, Sebastian Dom-Hansen, Katia Scacellati, Davide Vito Moretti, Melissa Rosa, Carina Hoffman, John F. Cryan, Olivia F. O’Leary, Jane A. English, Aongus Lovell, Cora O’Neill, Sandrine. Ture, Annamaria Cattaneo, Yvonne M. Nolan, October 18, 2023; brain.
DOI: 10.1093/brain/awad303

The research was carried out by Dr Stephanie Grubrucker, a postdoctoral researcher in collaboration with Professor Nolan, in collaboration with postdoctoral colleagues Dr Edina Siladzic from King’s College London and Dr Moira Marizzoni from IRCCS Fatebenefratelli in Italy. It was carried out. UCC collaborators were Professor Cora O’Neill, Dr Olivia O’Leary, Dr Sarah Nicholas, Dr Jane English, Mr Sebastian Dohm Hansen and Dr Aongus Lovell.

Source: scitechdaily.com

View of Earth from a 6,000 km orbit through a 2 mm lens

Credit: University of Maribor

Equipped with a miniature camera, the TRISAT-R CubeSat captured unique images of the Earth from 6,000 km, contributing to ESA’s research on medium-Earth orbit and digital imaging effects.

Partially shadowed Earth in the distance as seen from orbit at an altitude of 6,000 km (3,700 miles). This unusual image was obtained using a very small camera. It measures just 2 mm (0.08 inches), about the size of the end of a 20 euro cent (or US nickel). This is part of a small-scale technology experiment carried out on his shoebox-sized TRISAT-R CubeSat at ESA.

Iztok Kramberger, TRISAT-R project manager at the University of Maribor, explains: “This tiny camera, less than 2 cubic millimeters in size, captured images of an object of about 1 trillion cubic kilometers – our beautiful Earth – from thousands of kilometers away.”

A CubeSat made from three standardized 10 cm (4 inch) boxes, Trisat R This is Slovenia’s second space mission, with Europe’s first Vega-C launch last year reaching the relatively harsh environment of medium-Earth orbit at an altitude of 6,000 km (3,700 miles). The mission’s orbit passes through the core of the ionosphere (the electrically active layer of Earth’s atmosphere) and the inner Van Allen radiation belt.

The side cover size of TRISAT-R CubeSat is 10×10 cm. In the center you can see the photodiode (the white part in the middle) and the camera (the small black dot next to the diode and directly above the image). In the center of the camera, you can see a 2 x 2 mm camera lens with a 120 degree field of view. The lens is made from clear, radiation-resistant borosilicate glass and is attached directly to the image sensor below, providing 320 x 320 pixels.Credit: University of Maribor

This will enable TRISAT-R to test a range of radiation detection payloads. In addition, the TRISAT-R team mounted his two miniature cameras with lenses made of clear borosilicate glass directly onto a 320×320 pixel image sensor to provide limited radiation resistance. Ta.

Dr. Cranberger added: “These highly miniaturized cameras are not intended to perform ground imagery, so the resulting images of the Earth are very low resolution. Also, the TRISAT-R satellite uses magnetorque for attitude control. accurate pointing is difficult to achieve.

“Our main interest was in capturing an example of the ‘black sun effect’, which is common in terrestrial digital image processing, where pixel oversaturation can cause very bright areas to appear dark. We were successful in these investigations and were fortunate to be able to obtain images like this one. ”

ESA supported the manufacturing, assembly and testing of TRISAT-R through the ‘Fly’ element of the Integrated Support Technology Program, opening up on-orbit demonstration opportunities for European companies.

Located in a unique and challenging orbit, TRISAT-R’s commissioning phase is scheduled to conclude later this month, including 16 months of successful on-orbit operations.

Source: scitechdaily.com