Lifeboat Foundation

The ability to accurately detect heat and pain is critical to human survival. However, the molecular mechanisms behind how our bodies identify these dangers have long been a mystery to scientists.

Now, University at Buffalo researchers have unraveled the complex biological phenomena that drive these critical functions. Their research, recently published in the Proceedings of the National Academy of Sciences, has uncovered a previously unknown and completely unexpected “suicidal” reaction in ion channel receptors that explains the complicated mechanisms that underlie sensitivity to temperature and pain.

The research could be applied to the development of more effective pain relievers.

Researchers at the Francis Crick Institute, UCL, and MSD have identified a potential treatment target for a genetic type of epilepsy.

Developmental and epileptic encephalopathies are rare types of epilepsy that start in early childhood. One of the most common types of genetic epilepsy, CDKL5 deficiency disorder (CDD), causes seizures and impaired development. Children are currently treated with generic antiepileptic drugs, as there aren’t yet any disease-targeting medications for this disorder.

CDD involves losing the function of a gene producing the CDKL5 enzyme, which phosphorylates proteins, meaning it adds an extra phosphate molecule to alter their function. Until now, researchers have not been sure how genetic mutations in CDKL5 cause CDD.

On the highway of heat transfer, thermal energy is moved by way of quantum particles called phonons. But at the nanoscale of today’s most cutting-edge semiconductors, those phonons don’t remove enough heat. That’s why Purdue University researchers are focused on opening a new nanoscale lane on the heat transfer highway by using hybrid quasiparticles called “polaritons.” Credit: Purdue University photo/DALL-E.

Male fruit flies typically display antisocial behavior towards other males, preferring the company of females, which they identify through chemical receptors. However, recent studies by biologists at Cornell University indicate that the visual system of fruit flies plays a significant role in their social interactions.

This discovery provides new insights into the potential roots of varied social behaviors in humans, including those associated with conditions like bipolar disorder and autism.

The paper was recently published in Current Biology.

Federal funding brings together experts to chart a viable path to realizing fusion energy as a clean power source.

The University of Rochester’s Laboratory for Laser Energetics (LLE) has received a four-year, $10 million award from the US Department of Energy’s (DOE) Office of Fusion Energy Science (FES) to lead a national research hub dedicated to advancing inertial fusion energy (IFE) science and technology.

The LLE-led inertial fusion energy hub—named IFE-COLoR, which stands for Inertial Fusion Energy-Consortium on LPI (laser-plasma interaction) Research—is one of only three such hubs in the nation selected by the DOE through competitive peer review. The award is part of a recent DOE initiative to stimulate IFE research and development by building on the momentum of scientists’ breakthrough in achieving ignition, or a fusion reaction that creates a net energy gain, last year.

Humans and animals can use diverse decision-making strategies to maximize rewards in uncertain environments, but previous studies have not investigated the use of multiple strategies that involve distinct latent switching dynamics in reward-guided behavior. Here, using a reversal learning task, we showed that mice displayed a much more variable behavior than would be expected from a uniform strategy, suggesting that they mix between multiple behavioral modes in the task. We develop a computational method to dissociate these learning modes from behavioral data, addressing the challenges faced by current analytical methods when agents mix between different strategies. We found that the use of multiple strategies is a key feature of rodent behavior even in the expert stages of learning, and applied our tools to quantify the highly diverse strategies used by individual mice in the task. We further mapped these behavioral modes to two types of underlying algorithms, model-free Q-learning and inference-based behavior. These rich descriptions of underlying latent states form the basis of detecting abnormal patterns of behavior in reward-guided decision-making.

Citation: Le NM, Yildirim M, Wang Y, Sugihara H, Jazayeri M, Sur M (2023) Mixtures of strategies underlie rodent behavior during reversal learning. PLoS Comput Biol 19: e1011430. https://doi.org/10.1371/journal.pcbi.

Editor: Alireza Soltani, Dartmouth College, UNITED STATES

Polymer solar cells, known for their light weight and flexibility, are ideal for wearable devices. Yet, their broader use is hindered by the toxic halogenated solvents required in their production. These solvents pose environmental and health risks, limiting the appeal of these solar cells. Alternative solvents, which are less toxic, unfortunately, lack the same solubility, necessitating higher temperatures and prolonged processing times.

This inefficiency further impedes the adoption of polymer solar cells. Developing a method to eliminate the need for halogenated solvents could significantly enhance the efficiency of organic solar cells, making them more suitable for wearable technology.

In a recently published paper, researchers outline how improving molecular interactions between the polymer donors and the small molecule acceptors using side-chain engineering can reduce the need for halogenated processing solvents.

NASA’s Atmospheric Waves Experiment (AWE) represents a cutting-edge initiative in space research, focused on studying atmospheric gravity waves. These waves play a crucial role in the dynamics of Earth’s atmosphere, particularly in the upper layers like the mesosphere, ionosphere, and thermosphere. AWE operates from its unique vantage point aboard the International Space Station (ISS).

One of the primary objectives of AWE is to observe and analyze atmospheric gravity waves (AGWs) in the mesopause region, which is about 54 miles (87 kilometers) above the Earth’s surface. By studying these waves, AWE aims to deepen our understanding of how weather events on Earth’s surface can generate these waves and how they propagate through and affect the atmosphere’s higher regions. This research is vital for comprehending the broader impacts of AGWs on the ionosphere-thermosphere-mesosphere system, particularly in terms of space weather effects, which have implications for satellite operations and communication systems.

AWE is led by Ludger Scherliess at Utah State University in Logan, and it is managed by the Explorers Program Office at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. Utah State University’s Space Dynamics Laboratory built the AWE instrument and provides the mission operations center.

A team of researchers has been studying the Ngogo community of wild chimpanzees in Uganda’s Kibale National Park for over twenty years. Their recent publication in the journal Science reveals that female chimpanzees in this population can experience menopause and have a postreproductive lifespan.

Prior to the study, these traits had only been found among mammals in a few species of toothed whales, and among primates — only in humans. These new demographic and physiological data can help researchers better understand why menopause and post-fertile survival occur in nature, and how it evolved in the human species.