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Electroactive bacterium generates well-defined nanosized metal catalysts with remarkable water-splitting performance

A biological method that produces metal nanoclusters using the electroactive bacterium Geobacter sulfurreducens could provide a cheap and sustainable solution to high-performance catalyst synthesis for various applications such as water splitting.

Metal nanoclusters contain fewer than one hundred atoms and are much smaller than nanoparticles. They have unique electronic properties but also feature numerous active sites available for catalysis on their surface. There are several synthetic methods for making nanoclusters, but most require multiple steps involving and harsh temperature and pressure conditions.

Biological methods are expected to deliver ecofriendly alternatives to conventional chemical synthesis. Yet, to date, they have only led to large nanoparticles in a wide range of sizes. “We found a way to control the size of the nanoclusters,” says Rodrigo Jimenez-Sandoval, a Ph.D. candidate in Pascal Saikaly’s group at KAUST.

Is Poland’s tap water really protected by clams?

Using living organisms to ensure water safety.


There’s a lot of articles written about how tap water in Warsaw is constantly tested by a small team of clams. It felt like a hoax to me: so I went to find out. ▪ Thanks to MPWiK Warsaw: https://www.mpwik.com.pl/

Producer: Marcin Krasnowolski https://polishfixer.com.
Camera: Michał Opala.
Editor: Michelle Martin https://twitter.com/mrsmmartin.

I’m at https://tomscott.com.
on Twitter at https://twitter.com/tomscott.
on Facebook at https://facebook.com/tomscott.
and on Instagram as tomscottgo.

Cyborg Futures: Born in Fiction

We had a wonderful group of international and interdisciplinary speakers at Saint Mary’s University on March 31 to April 1, 2017. They all took time out from their very busy schedules to come to Halifax to discuss robots and artificial intelligence at the Cyborg Futures Workshop. Academics from literary theory, digital culture, anthropology, sociology, environmental studies, robotics, and evolutionary biology, along with students and the public, convened for a lively discussion about technologies that are impacting us all.

This workshop is part of a larger SSHRC-funded project–Where Science Meets Fiction: Social Robots and the Ethical Imagination–that is about shifting the conversation about robots and AI, which has been animated by fiction but dominated in the real world by the military and industry. Opening the discussion up to wider social and cultural contexts–from the impact of technology on human relations; to non-human animals, the environment and trash; to racism, imperialism and misogyny; to automation, labour and capitalism; to killer robots and the military; to the problematic collapse of science and fiction—this workshop considered both the infrastructure currently being laid that is forcing us down a troubling path and imaginative alternatives to it. What follows cannot possibly do justice to the richness and complexity of the talks, so please click on the hyperlinks to listen to them.

Bees learn to dance and to solve puzzles from their peers

Social insects like bees demonstrate a remarkable range of behaviors, from working together to build structurally complex nests (complete with built-in climate control) to the pragmatic division of labor within their communities. Biologists have traditionally viewed these behaviors as pre-programmed responses that evolved over generations in response to external factors. But two papers last week reported results indicating that social learning might also play a role.

The first, published in the journal PLoS Biology, demonstrated that bumblebees could learn to solve simple puzzles by watching more experienced peers. The second, published in the journal Science, reported evidence for similar social learning in how honeybees learn to perform their trademark “waggle dance” to tell other bees in their colony where to find food or other resources. Taken together, both studies add to a growing body of evidence of a kind of “culture” among social insects like bees.

“Culture can be broadly defined as behaviors that are acquired through social learning and are maintained in a population over time, and essentially serves as a ‘second form of inheritance,’ but most studies have been conducted on species with relatively large brains: primates, cetaceans, and passerine birds,” said co-author Alice Bridges, a graduate student at Queen Mary University of London who works in the lab of co-author Lars Chittka. “I wanted to study bumblebees in particular because they are perfect models for social learning experiments. They have previously been shown to be able to learn really complex, novel, non-natural behaviors such as string-pulling both individually and socially.”

‘Revolutionary’: Scientists create mice with two fathers

Scientists have created eggs using the cells of male mice for the first time, leading to the birth of seven mice with two fathers, according to research Wednesday hailed as “revolutionary”.

The technique pioneered in the proof-of-concept experiment is a long way from potentially being used in humans, with obstacles including a low success rate, adaptation concerns and wide-ranging ethical considerations.

But the breakthrough raises the prospect of a raft of new reproductive possibilities, including that —or even a single man—could have a biological child without needing a female egg.

OpenAI Releases ChatGPT-4 And Performs Impressive Demonstration

OpenAI has released a new version of ChatGPT, claiming that the new language learning model is capable of passing – and even excelling in – a variety of academic exams.

ChatGPT-4, which will be available on Bing as well as the OpenAI website, is more reliable and more creative than its predecessor, according to OpenAI. The team tested the model on a number of exams designed for humans, from the bar exam to biology, using publicly available papers. While no additional training was given to the model ahead of the tests, it was able to perform well on most subjects, performing in the estimated 90th percentile for the bar exam and the 86th-100th in art history.

Just as the previous model was accused of being bad at math, this version struggled more with calculus, scoring in the 43rd-59th percentile.

Logarithmic nature of the brain 💡

Shortform link:
https://shortform.com/artem.

My name is Artem, I’m a computational neuroscience student and researcher.

In this video we will talk about the fundamental role of lognormal distribution in neuroscience. First, we will derive it through Central Limit Theorem, and then explore how it support brain operations on many scales — from cells to perception.

REFERENCES:

1. Buzsáki, G. & Mizuseki, K. The log-dynamic brain: how skewed distributions affect network operations. Nat Rev Neurosci 15264–278 (2014).
2. Ikegaya, Y. et al. Interpyramid Spike Transmission Stabilizes the Sparseness of Recurrent Network Activity. Cerebral Cortex 23293–304 (2013).
3. Loewenstein, Y., Kuras, A. & Rumpel, S. Multiplicative Dynamics Underlie the Emergence of the Log-Normal Distribution of Spine Sizes in the Neocortex In Vivo. Journal of Neuroscience 31, 9481–9488 (2011).
4. Morales-Gregorio, A., van Meegen, A. & van Albada, S. J. Ubiquitous lognormal distribution of neuron densities across mammalian cerebral cortex. http://biorxiv.org/lookup/doi/10.1101/2022.03.17.480842 (2022) doi:10.1101/2022.03.17.480842.

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