Lifeboat Foundation

In a new study in an animal model, researchers investigate the body’s potential to replace insulin-producing cells and thus heal itself of diabetes.

The electric vehicle is designed to shift to “reptilian” or “mammalian” walking mode when terrain turns tough.

On January 20/21, half of Earth will experience a total lunar eclipse. For the first time in 19 years, this includes all of North and South America.

Signals of this type have only been found once before.

A new study published in Nature Metabolism finally reveals the answer to how NMN enters the cell in order to become NAD+ and that it does not need to convert into NR to do so.

In the last few years, there has been considerable interest in restoring levels of the nicotinamide adenine dinclueotide (NAD+) coenzyme to combat age-related diseases. Evidence suggests that NAD+ systemically declines with age in a variety of organisms, including rodents and humans, which contributes to the development of many age-related diseases and metabolic conditions.

What is NAD+?

Continue reading “NMN Enters Cells via Newly Discovered Pathway” »

Futurist and political talk with a British twist.

What does 2019 hold for POLITICS and TECHNOLOGY?

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Its spin axis is tilted by a whopping 98 degrees.
Venus takes 243 Earth days to rotate once on its axis – the slowest rotation of any planet – and its rotation is retrograde to its orbital path. Combined with its orbital period, this means that a single solar day on Venus (the time between one sunup to the next) is 117 Earth days.

Some days you wonder…

For the first time, researchers have finally found the root cause responsible for thelytoky syndrome — which dramatically turns bees from altruistic helpers to selfish mercenaries.

Researchers at the University of Waterloo, Canada, have recently developed a system for generating song lyrics that match the style of particular music artists. Their approach, outlined in a paper pre-published on arXiv, uses a variational autoencoder (VAE) with artist embeddings and a CNN classifier trained to predict artists from MEL spectrograms of their song clips.

“The motivation for this project came from my personal interest,” Olga Vechtomova, one of the researchers who carried out the study, told TechXplore. “Music is a passion of mine, and I was curious about whether a machine can generate lines that sound like the lyrics of my favourite music artists. While working on text generative models, my research group found that neural networks can generate some impressive lines of text. The natural next step for us was to explore whether a machine could learn the ‘essence’ of a specific music artist’s lyrical style, including choice of words, themes and sentence structure, to generate novel lyrics lines that sound like the artist in question.”

The system developed by Vechtomova and her colleagues is based on a neural network model called variational autoencoder (VAE), which can learn by reconstructing original lines of text. In their study, the researchers trained their model to generate any number of new, diverse and coherent lyric lines.

Continue reading “A system to generate new song lyrics that match the style of specific artists” »