Lifeboat Foundation

NASA’s Cassini probe has uncovered compelling evidence hinting at the potential existence of life on Saturn’s icy moon Enceladus.

Interestingly, a detailed review of Cassini’s data has revealed that the subsurface ocean hidden beneath the moon’s frozen surface is a rich source of chemical energy.

This disclosure strengthens the case for exploring the possibility of life within the ocean of this frozen celestial body.

Continue reading “Saturn’s icy moon hosts vital life source, key molecule, reveals NASA” »

Targeted drugs aim to pinpoint the exact location in the body where diseased tissue is located and where the medicine is required. The manifold benefits of administering a targeted drug include heightened efficacy, as the drug is meticulously designed for specificity, thereby reducing side effects, and minimizing damage to healthy tissue. Consequently, this approach enhances the patient’s quality of life during treatment.

Oligonucleotides (ONs), specifically designed short chains of DNA or RNA, have emerged as a crucial tool with immense potential in personalized medicine. These therapeutic ONs are already in use for conditions, such as certain types of muscular dystrophy and liver disease, which conventional drugs cannot address.

Depending on the type, ONs can function by, preventing or changing the production of a protein in the cell, particularly beneficial in diseases caused by the overproduction of a specific protein.

The pursuit of rewards can lead to addiction and insensitivity to pleasure, but managing neurochemistry and focusing on the process can help achieve fulfillment and reduce addiction.

Questions to inspire discussion.

Continue reading “This Is How You Use DOPAMINE As A SUPERPOWER In Your Life” »

During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no return from which the reaction must proceed.

MIT chemists have developed a computational model that can rapidly predict the structure of the transition state of a reaction (left structure), if it is given the structure of a reactant (middle) and product (right).

Batteries that exploit quantum phenomena to gain, distribute and store power promise to surpass the abilities and usefulness of conventional chemical batteries in certain low-power applications. For the first time, researchers, including those from the University of Tokyo, take advantage of an unintuitive quantum process that disregards the conventional notion of causality to improve the performance of so-called quantum batteries, bringing this future technology a little closer to reality.

When you hear the word “quantum,” the physics governing the subatomic world, developments in quantum computers tend to steal the headlines, but there are other upcoming quantum technologies worth paying attention to. One such item is the quantum battery which, though initially puzzling in name, holds unexplored potential for sustainable energy solutions and possible integration into future electric vehicles. Nevertheless, these new devices are poised to find use in various portable and low-power applications, especially when opportunities to recharge are scarce.

At present, quantum batteries only exist as laboratory experiments, and researchers around the world are working on the different aspects that are hoped to one day combine into a fully functioning and practical application. Graduate student Yuanbo Chen and Associate Professor Yoshihiko Hasegawa from the Department of Information and Communication Engineering at the University of Tokyo are investigating the best way to charge a quantum battery, and this is where time comes into play. One of the advantages of quantum batteries is that they should be incredibly efficient, but that hinges on the way they are charged.

Supernovae, which are exploding stars, play a pivotal role in galaxy formation and evolution. However, simulating these phenomena accurately and efficiently has been a significant challenge. For the first time, a team including researchers from the University of Tokyo has utilized deep learning to enhance supernova simulations. This advancement accelerates simulations, crucial for understanding galaxy formation and evolution, as well as the evolution of chemistry that led to life.

When you hear about deep learning, you might think of the latest app that sprung up this week to do something clever with images or generate humanlike text. Deep learning might be responsible for some behind-the-scenes aspects of such things, but it’s also used extensively in different fields of research. Recently, a team at a tech event called a hackathon applied deep learning to weather forecasting. It proved quite effective, and this got doctoral student Keiya Hirashima from the University of Tokyo’s Department of Astronomy thinking.

According to a notice the agency posted on the government contracting portal SAM.gov on Thursday (Dec. 7), the technology was developed by researchers at NASA’s Langley Research Center in Virginia and has been studied for use in a simulated entry into Neptune’s atmosphere. A separate 2021 study of the same technology studied it for use in the atmosphere of Mars.

Related: Space Force wants ‘Foo Fighter’ satellites to track hypersonic missiles

The agency claims its MHD system is “simpler than conventional methods for control of hypersonic craft (e.g., chemical propulsion, shifting flight center of gravity, or trim tabs) and enables new entry, descent, and landing mission architectures.”

Self-propelled nanoparticles could potentially advance drug delivery and lab-on-a-chip systems — but they are prone to go rogue with random, directionless movements. Now, an international team of researchers has developed an approach to rein in the synthetic particles.

Led by Igor Aronson, the Dorothy Foehr Huck and J. Lloyd Huck Chair Professor of Biomedical Engineering, Chemistry and Mathematics at Penn State, the team redesigned the nanoparticles into a propeller shape to better control their movements and increase their functionality. They published their results in the journal Small (“Multifunctional Chiral Chemically-Powered Micropropellers for Cargo Transport and Manipulation”).

A propeller-shaped nanoparticle spins counterclockwise, triggered by a chemical reaction with hydrogen peroxide, followed by an upward movement, triggered by a magnetic field. The optimized shape of these particles allows researchers to better control the nanoparticles’ movements and to pick up and move cargo particles. (Video: Active Biomaterials Lab)