Using cryo-electron microscopy, the structural mechanism by which non-coding bridge RNA confers target and donor DNA specificity to IS110 recombinases for programmable DNA recombination is explored.
What are good policy options for academic journals regarding the detection of AI generated content and publication decisions? As a group of associate editors of Dialectica note below, there are several issues involved, including the uncertain performance of AI detection tools and the risk that material checked by such tools is used for the further training of AIs. They’re interested in learning about what policies, if any, other journals have instituted in regard to these challenges and how they’re working, as well as other AI-related problems journals should have policies about. They write: As associate editors of a philosophy journal, we face the challenge of dealing with content that we suspect was generated by AI. Just like plagiarized content, AI generated content is submitted under false claim of authorship. Among the unique challenges posed by AI, the following two are pertinent for journal editors. First, there is the worry of feeding material to AI while attempting to minimize its impact. To the best of our knowledge, the only available method to check for AI generated content involves websites such as GPTZero. However, using such AI detectors differs from plagiarism software in running the risk of making copyrighted material available for the purposes of AI training, which eventually aids the development of a commercial product. We wonder whether using such software under these conditions is justifiable. Second, there is the worry of delegating decisions to an algorithm the workings of which are opaque. Unlike plagiarized texts, texts generated by AI routinely do not stand in an obvious relation of resemblance to an original. This renders it extremely difficult to verify whether an article or part of an article was AI generated; the basis for refusing to consider an article on such grounds is therefore shaky at best. We wonder whether it is problematic to refuse to publish an article solely because the likelihood of its being generated by AI passes a specific threshold (say, 90%) according to a specific website. We would be interested to learn about best practices adopted by other journals and about issues we may have neglected to consider. We especially appreciate the thoughts of fellow philosophers as well as members of other fields facing similar problems. — Aleks…
Summary: Researchers successfully connected lab-grown brain tissues, mimicking the complex networks found in the human brain. This novel method involves linking “neural organoids” with axonal bundles, enabling the study of interregional brain connections and their role in human cognitive functions.
The connected organoids exhibited more sophisticated activity patterns, demonstrating both the generation and synchronization of electrical activity akin to natural brain functions. This breakthrough not only enhances our understanding of brain network development and plasticity but also opens new avenues for researching neurological and psychiatric disorders, offering hope for more effective treatments.
In February 2023, Frontiers in Science published an article titled “Organoid Intelligence (OI): The New Frontier in Biocomputing and Intelligence-in-a-Dish.” Since its publication, this research has sparked significant scientific interest and gained coverage in Forbes, Financial Times, Wall Street Journal, BBC, CNN and many others.
So, what is organoid intelligence and why has this article gathered such attention?
The article showcases a forward-thinking and captivating concept of how brain organoids – artificially grown human brain tissue – could be used to study human brain cognitive function, with potential assistance from artificial intelligence and biocomputing. This multidisciplinary, emerging field holds great promise for advancing our understanding of the brain and accelerating progress in neuroscience research.
Domain walls, long a divisive topic in physics, may be ideal explanations for some bizarre cosmic quirks.
“As long as they live for long enough, they will always become large cosmological beasts,” says Ricardo Ferreira, a cosmologist at the University of Coimbra in Portugal. He’s not talking about actual beasts but rather about hypothetical humongous sheets of spacetime that could divide one region of the universe from another. Such so-called domain walls are the natural outcome of theories that try to solve some of the deepest mysteries in physics, such as the origins of gravity. As Ferreira says, however, had they formed after the big bang, by today they’d be the dominant source of energy in our universe, and there’s no evidence that’s the case. So any theory invoking their existence has been considered suspect—until now, perhaps.
Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhDDiscount Links: NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/Use Cod…
In an effort to make them useless to poachers, researchers are implanting radioactive isotopes into the horns of rhinos in South Africa.
The unusual material would “render the horn useless… essentially poisonous for human consumption,” James Larkin, professor and dean of science at the University of the Witwatersrand in Johannesburg, told Agence France-Presse.
The isotopes would also be “strong enough to set off detectors that are installed globally,” Larkin added, referring to hardware that was originally installed to “prevent nuclear terrorism.”
Our cells and the machinery inside them are engaged in a constant dance. This dance involves some surprisingly complicated choreography within the lipid bilayers that comprise cell membranes and vesicles — structures that transport waste or food within cells.
In a recent ACS Nano paper (“The Secret Ballet Inside Multivesicular Bodies”), Luis Mayorga and Diego Masone shed some light on how these vesicles self-assemble, knowledge that could help scientists design bio-inspired vesicles for drug-delivery or inspire them to create life-like synthetic materials.
A representation of multilayer lipid vesicles inspired by “Color Study: Squares with Concentric Circles,” by the artist Wassily Kandinsky. (Image: ACS Nano 2024, DOI: 10.1021/acsnano.4c01590)
“Surfaces were invented by the devil” — this quote is attributed to the theoretical physicist Wolfgang Pauli, who taught at ETH Zurich for many years and in 1945 received the Nobel Prize in physics for his contributions to quantum mechanics. Researchers do, indeed, struggle with surfaces. On the one hand they are extremely important both in animate and inanimate nature, but on the other hand it can be devilishly difficult to study them with conventional methods.
An interdisciplinary team of materials scientists and electrical engineers led by Lukas Novotny, Professor of Photonics at ETH Zurich, together with colleagues at Humboldt-Universität zu Berlin has now developed a method that will make the characterization of surfaces considerably easier in the future.
They recently published the results of their research, which is based on an extremely thin gold membrane, in the scientific journal Nature Communications (“Bulk-suppressed and surface-sensitive Raman scattering by transferable plasmonic membranes with irregular slot-shaped nanopores”).