Lifeboat Foundation

In a recent study conducted in mice, researchers became one step closer to that understanding, discovering that exercise actually strengthens the brain’s resilience to stress. Exercise helps animals cope with stress by enabling an uptick in a crucial neural protein called galanin, the study suggests. This process influences stress levels, food consumption, cognition, and mood.

Leveraging this finding, researchers were able to genetically tweak even sedentary mice’s levels of galanin, shifts that lowered their anxious response to stress.

The study’s authors explain that this study helps pin down the biological mechanisms driving exercise’s positive effects on stress. While further human experiments are needed to confirm these findings, the researchers have practical advice for people looking to get these benefits: perform regular, aerobic exercise.

Excerpts of talks and interviews on biological radical life extension given by some of the world top longevity scientists.
The compendium includes thoughts, predictions and claims made by the following longevity leaders (listed in alphabetical order):
Aubrey de Grey, PhD: https://en.wikipedia.org/wiki/Aubrey_de_Grey
David Sinclair, PhD: https://en.wikipedia.org/wiki/David_Andrew_Sinclair
George Church, PhD: https://en.wikipedia.org/wiki/George_Church_(geneticist)
Juan Carlos Izpisúa Belmonte, PhD: https://en.wikipedia.org/wiki/Juan_Carlos_Izpisua_Belmonte
María Blasco Marhuenda, PhD: https://en.wikipedia.org/wiki/Mar%C3%ADa_Blasco_Marhuenda

I added embedded subtitles in English when scientists speak in Spanish.
For subtitles in Spanish when scientists speak in English, just choose the option in Youtube to add the subtitles in Spanish I created.

Continue reading “Top longevity scientists views on radical life extension” »

Brownian motion of particles in fluid is a common collective behavior in biological and physical systems. In a new report on Science Advances, Kai Leong Chong, and a team of researchers in physics, engineering, and aerospace engineering in China, conducted experiments and numerical simulations to show how the movement of vortices resembled inertial Brownian particles. During the experiments, the rotating turbulent convective vortical flow allowed the particles to move ballistically at first and diffusively after a critical time in a direct behavioral transition—without going through a hydrodynamic memory regime. The work implies that convective vortices have inertia-induced memory, so their short-term movement was well-defined in the framework of Brownian motion here for the first time.

Brownian motion

Albert Einstein first provided a theoretical explanation to Brownian motion in 1905 with the movement of pollen particles in a thermal bath, the phenomenon is now a common example of stochastic processes that widely occur in nature. Later in 1908, Paul Langevin noted the inertia of particles and predicted that their motion would be ballistic within a short period of time, changing to diffuse motion after a specific timeline. However, due to the rapidity of this transition, it took more than a century for researchers to be able to directly observe the phenomenon. Nevertheless, the “pure” Brownian motion predicted by Langevin was not observed in liquid systems and the transition spanned a broad range of time scales. The slow and smooth transition occurred due to the hydrodynamic memory effect, to ultimately generate long-range correlations.

One of, if not the oldest visible form of life, to which we owe much of our original Oxygen rich environment, these Stromatolites are under threat.

Agriculture has threatened an area holding an exceptional array of microbes.

Continue reading “Watch: Threatened pools in Mexican desert hold clues to early life” »

An amazing aspect of living in The Fourth Industrial Era is that we are at a new inflection point in bringing emerging technologies to life. We are in an era of scientific breakthroughs that will change the way of life as we currently know it. While there are many technological areas of fascination for me, the meshing of biology with machine is one of the most intriguing. It fuses many elements of technologies especially artificial intelligence and pervasive computing. I have highlighted two frontiers of “mind-bending” developments that are on the horizon, Neuromorphic technologies, and human-machine biology.

Neuromorphic Technologies

Human computer interaction (HCI) was an area of research that started in the 1980s and has come a long way in a short period of time. HCI was the foundation for what we call neuromorphic computing, the integration of systems containing electronic analog circuits to mimic neuro-biological architectures present in the biological nervous system.

WIREDNew research from the Japanese Tanpopo mission adds to scientists’ understanding of how living organisms can endure the hostile environment.

These researchers paired biology with AI to create the world’s first “living” robots 🤯.

Bacteria that can help defuse highly toxic dioxin in sediments in the Passaic River—a Superfund hazardous waste site—could eventually aid cleanup efforts at other dioxin-contaminated sites around the world, according to Rutgers scientists.

Their research, published in the journal Environmental Science & Technology, needs further work to realize the full potential of the beneficial bottom-dwelling microbes.

“The bacteria-driven process we observed greatly decreases the toxicity of dioxin,” said senior author Donna E. Fennell, a professor who chairs the Department of Environmental Sciences in the School of Environmental and Biological Sciences at Rutgers University–New Brunswick.

Curtin University researchers have discovered a new way to more accurately analyze microscopic samples by essentially making them glow in the dark through the use of chemically luminescent molecules.

Lead researcher Dr. Yan Vogel from the School of Molecular and Life Sciences said current methods of microscopic imaging rely on fluorescence, which means a light needs to be shining on the sample while it is being analyzed. While this method is effective, it also has some drawbacks.

“Most biological cells and chemicals generally do not like exposure to light because it can destroy things—similar to how certain plastics lose their colors after prolonged sun exposure, or how our skin can get sunburned,” Dr. Vogel said. “The light that shines on the samples is often too damaging for the living specimens and can be too invasive, interfering with the biochemical process and potentially limiting the study and scientists’ understanding of the living organisms.”