Structure basis for the activation of KCNQ2 by endogenous and exogenous ligands.
Zhao et al. report cryo-EM structures of human KCNQ2 in complex with QO-58 and QO-83 in multiple conformations, with or without PIP2. Together with electrophysiological and computational analyses, these structures provide insight into the channel’s activation mechanism and support the rational design of targeted anti-epileptic therapies.
Read “” by Myk Eff on Medium.
When Freud first mapped the territories of the unconscious, he could only speak in the metaphors available to him — hydraulic pressures, economic systems, topographical layers. Yet the phenomena he described possess a striking affinity with concepts that would not emerge until decades later, when Claude Shannon formalized information theory and computing science revealed the architecture of data itself. What if the mechanisms Freud, Jung, and their successors laboriously documented are, at their foundation, information processing operations? What if repression is encryption, condensation is compression, and the deepest strata of the psyche represent not mystical depths but maximal data density?
The proposition is not merely metaphorical. Consider Freud’s description of repression in Repression (1915): the mechanism whereby the ego refuses admittance to consciousness of ideational content that threatens its equilibrium. Freud wrote that repression lies simply in turning something away, and keeping it at a distance, from the conscious (p. 147). Yet this keeping at a distance operates through a curious transformation. The repressed content does not vanish; it persists, inaccessible yet influential, distorting thought and behavior through its very concealment.
This is precisely analogous to encrypted data. Encryption transforms information into a form that resists interpretation without the proper key, yet the information remains fully present, its structure intact but rendered opaque. The encrypted file occupies space, exerts influence on system resources, and can corrupt or destabilize processes that attempt to access it incorrectly. Similarly, repressed material occupies psychic space and generates symptoms — failed decryption attempts, as it were — when consciousness approaches without the therapeutic key.
Researchers announced that they have achieved the world’s first elucidation of how hydrogen produces free electrons through the interaction with certain defects in silicon. The achievement has the potential to improve how insulated gate bipolar transistors (IGBTs) are designed and manufactured, making them more efficient and reducing their power loss. It is also expected to open up possibilities for future devices using ultra-wide bandgap (UWBG) materials.
In the global drive toward carbon neutrality, efforts to make power electronics more efficient and energy-saving are accelerating worldwide. IGBTs are key components responsible for power conversion, so improving their efficiency is a major priority. While hydrogen ion implantation has been used for about half a century to control electron concentration in silicon, the underlying mechanism has remained unclear until now.
In 2023, Mitsubishi Electric and University of Tsukuba jointly discovered a defect complex in silicon that contributes to increasing electron concentration. They confirmed that this complex is formed when an interstitial silicon pair and hydrogen bind, but the reason why free electrons are newly generated in this process was still unclear.
Wildfires are devastating events that destroy forests, burn homes and force people to leave their communities. They also have a profound impact on local ecosystems. But there is another problem that has been largely overlooked until now. When rain falls on the charred landscapes, it increases surface runoff and soil erosion that can last for decades, according to a new study published in Nature Geoscience.
On average, wildfires burn approximately 4 million square kilometers of land per year, an area equivalent to the size of the European Union. Despite this, there hasn’t been a global long-term assessment of how these fires affect soil erosion over time. So researchers from the European Commission’s Joint Research Center and the University of Basel, Switzerland, studied two decades’ worth of data to compile the world’s first global map of post-fire soil erosion.
The team used a sophisticated computer model called RUSLE (Revised Universal Soil Loss Equation), which they adapted for post-fire conditions to calculate how much soil moves based on factors such as vegetation cover and rainfall intensity. They combined this with satellite data of global wildfires from 2001 to 2019 and compared these areas with how the land looked before the flames took hold.
🚀 The Universe Runs on Quantum Information (Like a Computer 💻🌌)
https://lnkd.in/geGmy856
What if the universe didn’t start with matter or space…
but with information?
Not particles.
Not time.
Not gravity.
Just pure quantum information, like a computer that’s powered on but hasn’t loaded anything yet.
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the discovery of counterintuitive activity by a group of neurons that researchers working with animals to perform the same task had not noticed in their data before, says a team of scientists at Dartmouth College, MIT, and the State University of New York at Stony Brook.
Notably, the model produced these achievements without ever being trained on any data from animal experiments. Instead, it was built from scratch to faithfully represent how neurons connect into circuits and then communicate electrically and chemically across broader brain regions to produce cognition and behavior. Then, when the research team asked the model to perform the same task that they had previously performed with the animals (looking at patterns of dots and deciding which of two broader categories they fit), it produced highly similar neural activity and behavioral results, acquiring the skill with almost exactly the same erratic progress.
“It’s just producing new simulated plots of brain activity that then only afterward are being compared to the lab animals. The fact that they match up as strikingly as they do is kind of shocking,” says Richard Granger, a professor of psychological and brain sciences at Dartmouth and senior author of a new study in Nature Communications that describes the model.
