The electric skin cell signals, which move at glacial pace compared to those in nerve cells, may play a role in initiating healing.
Will a child who’s evaluated for autism later develop an intellectual disability? Can this be accurately predicted? Early-childhood experts in Quebec say they’ve have come up with a better way to find out.
In a study of 5,633 children drawn from three North American cohorts, clinician-researchers affiliated with Université de Montréal developed a new predictive model that combines a wide range of genetic variants with data on each stage of a young child’s development.
Their goal? To obtain reliable information as early as possible to predict the children’s developmental trajectory and thus offer more proactive support to those who may need it—namely, parents trying to better understand and anticipate their child’s needs.
One of the challenges of fighting pancreatic cancer is finding ways to penetrate the organ’s dense tissue to define the margins between malignant and normal tissue. A new study uses DNA origami structures to selectively deliver fluorescent imaging agents to pancreatic cancer cells without affecting normal cells.
The study, led by University of Illinois Urbana-Champaign mechanical science and engineering professor Bumsoo Han and professor Jong Hyun Choi at Purdue University, found that specially engineered DNA origami structures carrying imaging dye packets can specifically target human KRAS mutant cancer cells, which are present in 95% of pancreatic cancer cases.
“This research highlights not only the potential for more accurate cancer imaging, but also selective chemotherapy delivery, a significant advancement over current pancreatic ductal adenocarcinoma treatments,” said Han, who is also affiliated with the Cancer Center at Illinois. “The current process of cancerous tissue removal through surgical resection can be improved greatly by more accurate imaging of tumor margins.”
Have you ever considered that everything you know—the planets, stars, galaxies, and even you—might actually exist inside an enormous black hole? What if the universe we call home is merely the interior of a cosmic leviathan, swallowing light from another reality we can never directly observe?
For decades, black holes have captured our imagination as cosmic monsters devouring everything in their path, where even light cannot escape their gravitational clutches. But recent discoveries are forcing scientists to consider an extraordinary possibility: that our entire universe might itself be a black hole. This isn’t science fiction—it’s a serious scientific hypothesis with growing evidence behind it.
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Credits: Ron Miller, Mark A. Garlick / MarkGarlick.com, Elon Musk/SpaceX/ Flickr.
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00:00 Intro.
1:01 The new study.
3:10 how could our universe fit inside a black hole?
8:25 the horizon problem.
10:20 white holes.
16:25 the multiverse pespective.
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#insanecuriosity #blackhole #universe
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Astronomers analyzing Webb’s data have found that early galaxies seem to favor a particular spin direction—an observation that defies the Cosmological Principle. If confirmed, this could suggest that the universe was born with a fundamental rotation, pointing toward radical theories like black hole cosmology.
But this is just the beginning. The telescope has also spotted galaxies forming far earlier than they should have, some potentially dating back to just 168 million years after the Big Bang. These findings contradict existing models of cosmic evolution, raising the possibility that our understanding of time, expansion, and even reality itself may be flawed.
Adding to the mystery, supermassive black holes have been detected in the early universe, defying expectations of how they should form. Could they be remnants of a previous cosmic cycle? Some researchers are now revisiting the Cyclical Universe Theory, which suggests our universe may be part of an infinite loop of creation and destruction.
With every new revelation, JWST is not just answering questions—it’s creating new ones. Are we on the verge of a fundamental shift in physics, or is there a simpler explanation we have yet to uncover?
The James Webb Space Telescope has uncovered some of the most perplexing discoveries in modern astronomy, challenging everything we thought we knew about the cosmos. From galaxies that appear too massive and too developed for their age to a potential imbalance in galactic rotation, these findings are shaking the foundations of the Big Bang model. Could our universe itself have been born inside a black hole?
How likely is it that we live in a simulation? Are virtual worlds real?
In this first episode of the 2nd Series we delve into the fascinating topic of virtual reality simulations and the extraordinary possibility that our universe is itself a simulation. For thousands of years some mystical traditions have maintained that the physical world and our separated ‘selves’ are an illusion, and now, only with the development of our own computer simulations and virtual worlds have scientists and philosophers begun to assess the statistical probabilities that our shared reality could in fact be some kind of representation rather than a physical place.
As we become more open to these possibilities, other difficult questions start to come into focus. How can we create a common language to talk about matter and energy, that bridges the simulated and simulating worlds. Who could have created such a simulation? Could it be an artificial intelligence rather than a biological or conscious being? Do we have ethical obligations to the virtual beings we interact with in our virtual worlds and to what extent are those beings and worlds ‘real’? The list is long and mind bending.
Fortunately, to untangle our thoughts on this, we have one of the best known philosophers of all things mind bending in the world, Dr. David Chalmers; who has just released a book ‘Reality+: virtual worlds and the problems of philosophy’ about this very topic. Dr. Chalmers is an Australian philosopher and cognitive scientist specialising in the areas of philosophy of mind and philosophy of language. He is a Professor of Philosophy and Neuroscience at New York University, as well as co-director of NYU’s Center for Mind, Brain and Consciousness. He’s the founder of the ‘Towards a Science of Consciousness Conference’ at which he coined the term in 1994 The Hard Problem of Consciousness, kicking off a renaissance in consciousness studies, which has been increasing in popularity and research output ever since.
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What we discuss in this episode:
00:00 Short Intro.
06:00 Synesthesia.
08:27 The science of knowing the nature of reality.
11:02 The Simulation Hypothesis explained.
15:25 The statistical probability evaluation.
18:00 Knowing for sure is beyond the reaches of science.
19:00 You’d only have to render the part you’re interacting with.
20:00 Clues from physics.
22:00 John Wheeler — ‘It from bit’
23:32 Eugene Wigner: measurement as a conscious observation.
27:00 Information theory as a useful but risky hold-all language tool.
34:30 Virtual realities are real and virtual interactions are meaningful.
37:00 Ethical approaches to Non-player Characters (NPC’s) and their rights.
38:45 Will advanced AI be conscious?
42:45 Is god a hacker in the universe up? Simulation Theology.
44:30 Simulation theory meets the argument for the existence of God from design.
51:00 The Hard problem of consciousness applies to AI too.
55:00 Testing AI’s consciousness with the Turing test.
59:30 Ethical value applied to immoral actions in virtual worlds.
References:
Asymmetric interactions between molecules may serve as a stabilizing factor for biological systems. A new model by researchers in the Department of Living Matter Physics at the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) reveals the regulatory role of non-reciprocity.
The scientists aim to understand the physical principles based on which particles and molecules are able to form living beings, and eventually, organisms. The work is published in the journal Physical Review Letters.
Most organizations, including companies, societies, or nations, function best when each member carries out their assigned role. Moreover, this efficiency often relies on spatial organization, which arose due to rules or emerged naturally via learning and self-organization. At the microscopic level, cells operate in a similar way, with different components handling specific tasks.
A demonstration of Bell-operator correlations in a 73-qubit quantum processor provides a benchmark for studying quantum nonlocality in complex systems that goes beyond standard measurements of entanglement.
In this enlightening episode, we delve into groundbreaking research that challenges our understanding of the brain’s building blocks. Recent studies reveal that a single neuron possesses computational capabilities rivaling those of entire artificial neural networks, suggesting that each neuron may function as a complex processor in its own right.
This UPSC Podcast explores how learning in the brain is more complex than previously thought, revealing that synapses, the connections between neurons, don’t all follow the same rules. A recent study observed these tiny junctions in mice, discovering that their behavior depends on their location on a neuron’s branches called dendrites. Some synapses prioritize local connections, while others form longer circuits, indicating that different parts of a single neuron perform distinct computations, potentially explaining how the brain forms memories, including during processes like offline learning. This research offers a new perspective on how the brain encodes information and could potentially inspire more sophisticated AI methods.
Key Discussion Points:
Neuronal Complexity: Exploring how individual neurons can perform intricate computations, akin to multi-layered neural networks.
Quanta Magazine.
Dendritic Processing: Understanding the role of dendrites in enhancing a neuron’s computational power.
Quanta Magazine.
Implications for AI: Discussing how these findings could revolutionize artificial intelligence by inspiring more efficient neural network architectures.
Differential dendritic integration of long-range inputs in association cortex via subcellular changes in synaptic AMPA-to-NMDA receptor ratio
Posted in neuroscience | Leave a Comment on Differential dendritic integration of long-range inputs in association cortex via subcellular changes in synaptic AMPA-to-NMDA receptor ratio
Lafourcade et al. reveal that apical oblique dendrites of retrosplenial cortical L5 neurons exhibit unexpectedly linear integration compared with basal and tuft branches via increased synaptic AMPA: NMDA. Long-range inputs are targeted to these distinct dendritic domains, supporting the idea that single neurons perform a diverse range of subcellular processing.