Lifeboat Foundation

Researchers have made an edible transistor out of a toothpaste ingredient, which could help with edible healthcare electronics.

marking a critical milestone in ULA’s path toward certifying the Vulcan Centaur for national security missions with the U.S. Space Force.

The Vulcan VC2S rocket is set to launch the Cert-2 mission from Space Launch Complex-41 at Cape Canaveral Space Force Station, Florida, during a launch window on Friday, October 4, 2024, between 6:00 and 9:00 a.m. EDT.

This mission includes an inert payload and key technology demonstrations for the Centaur V upper stage.

As technology advances, Big Data will play an increasingly important role in protecting Earth from asteroids. By harnessing the power of data analytics, AI, and machine learning, scientists can monitor and predict asteroid movements with greater accuracy than ever before. This enables us to develop early warning systems and potentially deflect asteroids before they can cause harm. Aspiring data scientists interested in contributing to such significant fields can gain the necessary skills by enrolling in a data science course in Chennai, where they can learn to utilize these advanced tools and techniques.

How will climate change alter winter weather in the future? This is what a recent study published in npj Climate and Atmospheric Science hopes to address as a team of researchers investigated the long-term effects of climate change on winter weather precipitation, or wetness. This study has the potential to help researchers, climate scientists, policymakers, and the public understand the long-term consequences of global climate change and the steps that can be taken to mitigate it.

For the study, the researchers used computer models to compare precipitation levels between 1985 and 2014 and compared these to model-predicted data spanning from 2070 to 2099 across seven subregions across the United States. In the end, the researchers estimate an increase between 2 to 5 percent of precipitation for every degree increase before the end of the century, noting this increase will hit the Northwest and Northeast regions of the United States the hardest.

“We found that, unlike summer and other seasons where projected changes in precipitation is highly uncertain, there will be a robust future intensification of winter precipitation,” said Dr. Akintomide Akinsanola, who is an assistant professor in the Department of Earth and Environmental Sciences at the University of Illinois Chicago and lead author of the study. “It will accelerate well past what we have seen in historic data.”

“This research underscores that successful water investments hinge not just on addressing immediate water needs, but also on strengthening the governmental and societal frameworks that facilitate private sector engagement,” said Dr. Pamela Green.

What steps can be taken to address global water shortages and security? This is what a recent study published in Global Environmental Change hopes to address as an international team of researchers investigated the readiness levels of economies around the world and if private investments could help alleviate the concerns regarding water security and safety worldwide. This study holds the potential to help researchers, climate scientists, and the public understand the severity of global water security and what steps can be taken to mitigate those risks and concerns.

For the study, the researchers conducted a statistical analysis comparing at-risk regions across the globe to available fiscal resources that can be used to address and alleviate risks and concerns to water scarcity.

Continue reading “Addressing Water Insecurity: A Call for Innovative Economic Strategies” »

Last week we reported that The Cat Health Company had closed its pre-seed round and is now moving towards identifying and developing new therapeutics for age-related diseases in cats. As the pet longevity field continues to gather momentum, The Cat Health Company aims to join companies like Loyal and Arterra at the forefront of this movement. Founded by Alex Bacita and Alex Voda, the Bucharest-based company is not only focused on improving the lifespan of our feline friends but also on enhancing their overall quality of life by targeting the underlying mechanisms of aging.

Longevity. Technology: Pet longevity is becoming a growing area of interest for both researchers and consumers; as owners increasingly seek solutions to extend the healthspan of their pets, demand for scientifically backed innovations has grown, and it is a trend that mirrors the rising popularity of similar human-focused longevity research, signaling a shift in how we approach aging across species.

We sat down with Alex Voda, cofounder of The Cat Health Company, to discuss the future of feline longevity and how TCHC plans to turn cutting-edge research into practical treatments for the cats we cherish.

UPTON, N.Y. — Efforts to achieve net-zero carbon emissions from transportation fuels are increasing demand for oil produced by nonfood crops. These plants use sunlight to power the conversion of atmospheric carbon dioxide into oil, which accumulates in seeds. Crop breeders interested in selecting plants that produce a lot of oil look for yellow seeds. In oilseed crops like canola, yellow-seeded varieties generally produce more oil than their brown-seeded counterparts. The reason: The protein responsible for brown seed color — which yellow-seeded plants lack — also plays a key role in oil production.

Now, plant biochemists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory — who are interested in increasing plant oil synthesis for the sustainable production of biofuels and other bioproducts — have harnessed this knowledge to create a new high-yielding oilseed crop variety. In a paper just published in The Plant Biotechnology Journal, they describe how they used tools of modern genetics to produce a yellow-seeded variety of Camelina sativa, a close relative of canola, that accumulates 21.4% more oil than ordinary camelina.

“If breeders can get a few percent increase in oil production, they regard it as significant, because even small increases in yield can lead to large increases in oil production when you’re planting millions of acres,” said Brookhaven Lab biochemist John Shanklin, chair of the Lab’s Biology Department and leader of its plant oil research program. “Our nearly 22% increase was unexpected and could potentially result in a dramatic increase in production,” he said.

What methods can be developed to help identify symptoms of myopia and its more serious version, myopic maculopathy? This is what a recent study published in JAMA Ophthalmology hopes to address as an international team of researchers investigated how artificial intelligence (AI) algorithms can be used to identify early signs of myopic maculopathy, as left untreated it can lead to irreversible damage to a person’s eyes. This study holds the potential to help researchers develop more effective options for identifying this worldwide disease, as it is estimated that approximately 50 percent of the global population will suffer from myopia by 2050.

“AI is ushering in a revolution that leverages global knowledge to improves diagnosis accuracy, especially in its earliest stage of the disease,” said Dr. Yalin Wang, who is a professor in the School of Computing and Augmented Intelligence at Arizona State University and a co-author on the study. “These advancements will reduce medical costs and improve the quality of life for entire societies.”

For the study, the researchers used a novel AI algorithm known as NN-MobileNet to scan retinal images and classify the severity of myopic maculopathy, which currently has five levels of severity in the medical field. The team then used deep neural networks to determine what’s known as the spherical equivalent, which is how eye doctors prescribe glasses and contacts to their patients. Combining these two methods enabled researchers to create a new AI algorithm capable of identifying early signs of myopic maculopathy.

https://rdcu.be/dVhCN

Imagine trying to understand the brain’s activity over time—an incredibly complex and dynamic process that happens at different speeds.

To solve this problem, we developed a pipeline called UnitMatch, which operates after spike sorting. Before applying UnitMatch, the user spike sorts each recording independently using their preferred algorithm. UnitMatch then deploys a naive Bayes classifier on the units’ average waveform in each recording and tracks units across recordings, assigning a probability to each match.

Continue reading “Tracking neurons across days with high-density probes” »