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Auger electron spectroscopy (AES) is an incredibly useful technique for probing material samples—but current assumptions about the process ignore some of the key time-dependent effects it involves. So far, this has resulted in overly-simplified calculations, which have ultimately prevented the technique from reaching its full potential.

In a study published in The European Physical Journal Plus Alberto Noccera at the University of British Columbia, Canada, together with Adrian Feiguin at Northeastern University, United States, developed a new computational approach which offers a more precise theoretical description of the AES process, while taking its time dependence into account. Their method could help researchers to improve their quality of material analysis across a wide array of fields: including chemistry, environmental science, and microelectronics.

In the Auger process, an inner-shell electron is initially kicked out of its atom, often through an impact with an energetic light pulse. Afterward, the vacancy it leaves behind is filled by an outer-shell electron.

Scientists have created a wood pulp hydrogel to strengthen anti-cancer medications and restore damaged cardiac tissue.

Now that they have created a novel hydrogel that can be utilised to repair damaged heart tissue and enhance cancer therapies, you can cure a broken heart on Valentine’s Day, according to SciTech Daily.

Dr Elisabeth Prince, a researcher in chemical engineering at the University of Waterloo, collaborated with scientists from Duke University and the University of Toronto to design a synthetic material that is made of wood pulp-derived cellulose nanocrystals. The material’s unique biomechanical qualities are recreated by engineering it to mimic the fibrous nanostructures and characteristics of human tissues.

New research from UBC Okanagan could make monitoring gut health easier and less painful by tapping into a common—yet often overlooked—source of information: the mucus in our digestive system that eventually becomes part of fecal matter.

Researcher Dr. Kirk Bergstrom and post-graduate student Noah Fancy of UBCO’s Biology department have discovered a non-invasive technique to study MUC2, a critical gut protein, from what we leave behind in the bathroom.

Theie findings are published in the Journal of Biological Chemistry.

An explainable deep learning model using a chemical substructure-based approach for the exploration of chemical compound libraries identified structural classes of compounds with antibiotic activity and low toxicity.

Link : https://trib.al/wOzZc3J

Talk about out-of-this-world bling!

Spanish researchers have discovered that two iron artifacts from a hoard of precious treasure that dates back to the Late Bronze Age — before man started the widespread smelting of iron — contain iron from meteorites estimated to be around 1 million years old.

Continue reading “Ancient Human Artifact Was Made With Extraterrestrial Material, Scientists Say” »

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Divice recipe for making spiking artificial neurons.

Neurons, which are made of biological tissue, exhibit cognitive properties that can be replicated in various material substrates. To create brain-inspired computational artificial systems, we can construct microscopic electronic neurons that mimic natural systems. In this paper, we discuss the essential material and device properties needed for a spiking neuron, which can be characterized using impedance spectroscopy and small perturbation equivalent circuit elements. We find that the minimal neuron system requires a capacitor, a chemical inductor, and a negative resistance. These components can be integrated naturally in the physical response of the device, instead of built from separate circuit elements. We identify the structural conditions for smooth oscillations that depend on certain dynamics of a conducting system with internal state variables. These state variables can be of diverse physical nature, such as properties of fluids, electronic solids, or ionic organic materials, implying that functional neurons can be built in various ways. We highlight the importance of detecting the Hopf bifurcation, a critical point in achieving spiking behavior, through spectral features of the impedance. To this end, we provide a systematic method of analysis in terms of the critical characteristic frequencies that can be obtained from impedance methods. Thus, we propose a methodology to quantify the physical and material properties of devices to produce the dynamic properties of neurons necessary for specific sensory-cognitive tasks. By replicating the essential properties of biological neurons in electronic systems, it may be possible to create brain-inspired computational systems with enhanced capabilities in information processing, pattern recognition, and learning. Additionally, understanding the physical and material properties of neurons can contribute to our knowledge of how biological neurons function and interact in complex neural networks. Overall, this paper presents a novel approach toward building brain-inspired artificial systems and provides insight into the important material and device considerations for achieving spiking behavior in electronic neurons.

A chemical element so visually striking it was named for a goddess shows a “Goldilocks” level of reactivity—neither too much nor too little—that makes it a strong candidate as a carbon scrubbing tool.

The element is vanadium, and research by Oregon State University scientists, published in Chemical Science, has demonstrated the ability of vanadium peroxide molecules to react with and bind carbon dioxide —an important step toward improved technologies for removing carbon dioxide from the atmosphere.

The study is part of a $24 million federal effort to develop new methods for direct air capture, or DAC, of carbon dioxide, a greenhouse gas that’s produced by the burning of fossil fuels and is associated with climate change.

We tend to separate the brain and muscle – the brain does the thinking; the muscle does the doing. The brain takes in complex information about the world, makes decisions, while muscle merely executes. This distinction extends to our understanding of cellular processes, where certain molecules within cells are perceived as the ‘thinkers’, processing information from the chemical environment to determine necessary actions for survival, while others are viewed as the ‘muscle’, constructing the essential structures for the cell’s survival.

But a new study shows how the molecules that build structures, i.e, the muscle, can themselves do both the thinking and the doing. The study, by scientists at Maynooth University, the University of Chicago, and California Institute of Technology was published in the journal Nature.

“We show that a natural molecular process – nucleation – that has been studied as a ‘muscle’ for a long time can do complex calculations that rival a simple neural network,” said University of Chicago Associate Professor Arvind Murugan, one of the two senior co-authors on the paper. “It’s an ability hidden in plain sight that evolution can exploit in cells to do more with less; the ‘doing’ molecules can also do the ‘thinking.’”