Lifeboat Foundation

Integrating large language models (LLMs) into various scientific domains has notably reshaped research methodologies. Among these advancements, an innovative system named Coscientist has emerged, as outlined in the paper “Autonomous chemical research with large language models,” authored by researchers from Carnegie Mellon University and Emerald Cloud Lab. This groundbreaking system, powered by multiple LLMs, is a pivotal achievement in the convergence of language models and laboratory automation technologies.

Coscientist comprises several intricately designed modules, with its cornerstone being the ‘Planner.’ This module operates using a GPT-4 chat completion instance, functioning as an interactive assistant capable of understanding user commands such as ‘GOOGLE,’ ‘PYTHON,’ ‘DOCUMENTATION,’ and ‘EXPERIMENT.’ Additionally, the ‘Web Searcher’ module, fueled by GPT-4, significantly enhances synthesis planning. Notably, it has exhibited exceptional performance in trials involving acetaminophen, aspirin, nitroaniline, and phenolphthalein. The ‘Code execution’ module, triggered by the ‘PYTHON’ command, facilitates experiment preparation calculations. Meanwhile, the ‘Automation’ command, guided by the ‘DOCUMENTATION’ module, implements experiment automation via APIs.

The prowess of the GPT-4-powered Web Searcher module in synthesis planning is evident in its success across diverse trials, demonstrating a capacity for efficient exploration and decision-making in chemical synthesis. Furthermore, the documentation search module equips Coscientist with the ability to utilize tailored technical documentation efficiently, enhancing its API utilization accuracy and improving overall experiment automation performance.

In a comprehensive review, researchers from Soochow University, Beijing Graphene Institute and Xiamen Silan Advanced Compound Semiconductor Co., Ltd. have collaborated to provide a systematic overview of the progress and potential applications of graphene as a buffer layer for nitride epitaxial growth.

The paper brings together perspectives from academia, research institutions, and semiconductor industry professionals to propose solutions for critical issues in semiconductor technology.

Graphene, a two-dimensional material known for its exceptional electrical and mechanical properties, has garnered significant interest for its prospective use in the growth of nitride semiconductors. Despite notable advancements in the chemical vapor deposition (CVD) growth of graphene on various insulating substrates, producing high-quality graphene and achieving optimal interface compatibility with Group III-nitride materials remain major challenges in the field.

A team of researchers from the ITACA Institute of the Universitat Politècnica de València (UPV) and the Research Institute of Chemical Technology, a joint center of the Spanish National Research Council (CSIC) and the UPV, has discovered a new method for the manufacture of metal nanocatalysts that is more sustainable and economical.

With great potential in the industrial sector, the method would contribute to the decarbonization of industry. The work has been published in the journal ACS Nano.

This new method is based on the exsolution process activated by microwave radiation. Exsolution is a method of generating metallic nanoparticles on the surface of ceramic materials. “At elevated temperatures and in a reducing atmosphere (usually hydrogen), metal atoms migrate from the structure of the material to its surface, forming metal nanoparticles anchored to the surface. This anchoring significantly increases the strength and stability of these nanoparticles, which positively impacts the efficiency of these catalysts,” explains Beatriz García Baños, a researcher in the Microwave Area of the ITACA Institute at the UPV.

Every year I compile what I think were some important contributions to longevity research. Here is my list for 2023.\
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Intro — 00:00\
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What causes aging? — 00:32\
Hallmarks Of Aging: An Expanding Universe \
The DREAM Complex Functions As Conserved Master Regulator Of Somatic DNA-Repair Capacities \
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Biomarkers — 02:00\
The Aging Biomarker Consortium Represents A New Era For Aging Research In China\
Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock\
A Foundation Model For Generalizable Disease Detection From Retinal Images\
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Cellular reprogramming — 04:30\
Chemically induced reprogramming to reverse cellular aging\
Loss of epigenetic information as a cause of mammalian aging\
In vivo reprogramming leads to premature death linked to hepatic and intestinal failure\
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Lifespan extension — 07:30\
Astaxanthin and meclizine extend lifespan in UM-HET3 male mice; fisetin, SG1002 (hydrogen sulfide donor), dimethyl fumarate, mycophenolic acid, and 4-phenylbutyrate do not significantly affect lifespan in either sex at the doses and schedules used\
Taurine deficiency as a driver of aging\
Dietary supplementation of clinically utilized PI3K p110α inhibitor extends the lifespan of male and female mice\
Optogenetic Rejuvenation Of Mitochondrial Membrane Potential Extends C. Elegans Lifespan\
Reversal Of Biological Age In Multiple Rat Organs By Young Porcine Plasma Fraction\
Multi-Omic Rejuvenation And Life Span Extension On Exposure To Youthful Circulation\
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Biotechnology — 13:50\
Intravascularly infused extracellular matrix as a biomaterial for targeting and treating inflamed tissues\
Intradermally delivered mRNA-encapsulating extracellular vesicles for collagen-replacement therapy\
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Why we age — 15:15\
Ageing as a software design flaw\
The Longevity Bottleneck Hypothesis: Could Dinosaurs Have Shaped Ageing In Present‐Day Mammals?\
Reconsidering Life History Theory Amid Infectious Diseases\
Blood Group A Enhances SARS-CoV-2 Infection\
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What’s next? — 16:50\
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There are many items missing from this list — these are only the papers I found time to read. Please post below any I missed! \
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ICYMI\
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2022 longevity papers\
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2021 longevity papers\
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Please note that The Sheekey Science Show is distinct from Eleanor Sheekey’s teaching and research roles at the University of Cambridge. The information provided in this show is not medical advice, nor should it be taken or applied as a replacement for medical advice. The Sheekey Science Show and guests assume no liability for the application of the information discussed.\
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Icons in intro; \.

Scientists studying the chemical makeup of asteroid Ryugu and the Murchison meteorite find intriguing differences in their organic molecules.

A groundbreaking discovery in metamaterial design reveals materials with built-in deformation resistance and mechanical memory, promising advancements in robotics and computing.

Researchers from the University of Amsterdam Institute of Physics and ENS de Lyon have discovered how to design materials that necessarily have a point or line where the material doesn’t deform under stress, and that even remember how they have been poked or squeezed in the past. These results could be used in robotics and mechanical computers, while similar design principles could be used in quantum computers.

The outcome is a breakthrough in the field of metamaterials: designer materials whose responses are determined by their structure rather than their chemical composition. To construct a metamaterial with mechanical memory, physicists Xiaofei Guo, Marcelo Guzmán, David Carpentier, Denis Bartolo, and Corentin Coulais realized that its design needs to be “frustrated,” and that this frustration corresponds to a new type of order, which they call non-orientable order.

NASA has pushed forward a revolutionary new rocket technology at its Marshall Space Flight Center in Huntsville, Alabama. Engineers at the facility fired the 3D-printed Rotating Detonation Rocket Engine (RDRE) for a record 251 seconds with 5,800 lb (2,631 kg) of thrust.

For over six decades, NASA has relied on chemical rockets to launch its vehicles into space. It works, but chemical rockets suffer from the fact that they’ve been operating in the neighborhood of their theoretical limit since 1942. This isn’t helped by the fact that most liquid rockets are essentially unchanged in their basic design since the days of the German V2s.

Continue reading “NASA completes record sustained burn of revolutionary rocket engine” »

Neurons in the brain communicate with each other at their synapses. It has long been understood that this communication occurs through biochemical processes. Here, we reveal that mechanical tension in neurons is essential for communication. Using in vitro rat hippocampal neurons, we find that 1) neurons become tout/tensed after forming synapses resulting in a contractile neural network, and 2) without this contractility, neurons fail to fire. To measure time evolution of network contractility in 3D (not 2D) extracellular matrix, we developed an ultrasensitive force sensor with 1 nN resolution. We employed Multi-Electrode Array and iGluSnFR, a glutamate sensor, to quantify neuronal firing at the network and at the single synapse scale, respectively. When neuron contractility is relaxed, both techniques show significantly reduced firing. Firing resumes when contractility is restored.

An international team of astronomers has employed a set of space telescopes to observe a peculiar nuclear transient known as AT 2019avd. Results of the observational campaign, presented in a paper published December 21 on the pre-print server arXiv, deliver important insights into the properties and behavior of this transient.

Nuclear astrophysics is key to understanding supernova explosions, and in particular the synthesis of the chemical elements that evolved after the Big Bang. Therefore, detecting and investigating nuclear transient events could be essential in order to advance our knowledge in this field.

At a redshift of 0.028, AT 2019avd is a peculiar nuclear transient discovered by the Zwicky Transient Facility (ZTF) in 2009. The transient has been detected in various wavelengths, from radio to soft X-rays, and has recently exhibited two continuous flaring episodes with different profiles, spanning over two years.