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Category: nanotechnology – Page 67

By Chuck Brooks

Realizing the potential of Smart Cities will require public-private cooperation and security by design.

The idea of smart cities is starting to take shape as the digital era develops. A city that has developed a public-private infrastructure to support waste management, energy, transportation, water resources, smart building technology, sustainability, security operations and citizen services is referred to as a “smart city”. Realizing the potential of Smart Cities will require public-private cooperation and security by design.

A smart city functions as an applied innovation lab. Automation, robotics, enabling nanotechnologies, artificial intelligence (human/computer interface), printed electronics and photovoltaics, wearables (flexible electronics), and information technologies like real-time and predictive analytics, super-computing, 5G wireless networks, secure cloud computing, mobile devices, and virtualization are a few of the fascinating technological trends of the digital era that are influencing the development of smart cities.

Continue reading “The Emergence Of Smart Cities In The Digital Era” | >

Moore’s Law predicts that computers get faster every two years because of the evolution of semiconductor chips.

Researchers at Tohoku University and the University of California, Santa Barbara, have shown a proof-of-concept of energy-efficient computer compatible with current AI. It utilizes a stochastic behavior of nanoscale spintronics devices and is particularly suitable for probabilistic computation problems such as inference and sampling.

The team presented the results at the IEEE International Electron Devices Meeting (IEDM 2023) on December 12, 2023.

With the slowing down of Moore’s Law, there has been an increasing demand for domain-specific hardware. A probabilistic computer with naturally stochastic building blocks (probabilistic bits, or p-bits) is a representative example due to its potential capability to efficiently address various computationally hard tasks in machine learning (ML) and artificial intelligence (AI).

Continue reading “Researchers develop spintronic probabilistic computers compatible with current AI” | >

Self-propelled nanoparticles could potentially advance drug delivery and lab-on-a-chip systems — but they are prone to go rogue with random, directionless movements. Now, an international team of researchers has developed an approach to rein in the synthetic particles.

Led by Igor Aronson, the Dorothy Foehr Huck and J. Lloyd Huck Chair Professor of Biomedical Engineering, Chemistry and Mathematics at Penn State, the team redesigned the nanoparticles into a propeller shape to better control their movements and increase their functionality. They published their results in the journal Small (“Multifunctional Chiral Chemically-Powered Micropropellers for Cargo Transport and Manipulation”).

A propeller-shaped nanoparticle spins counterclockwise, triggered by a chemical reaction with hydrogen peroxide, followed by an upward movement, triggered by a magnetic field. The optimized shape of these particles allows researchers to better control the nanoparticles’ movements and to pick up and move cargo particles. (Video: Active Biomaterials Lab)

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A team of chemists, microbiologists and physicists at the University of Cambridge in the U.K. has developed a way to use solid-state nanopores and multiplexed DNA barcoding to identify misfolded proteins such as those involved in neurodegenerative disorders in blood samples. In their study, reported in the Journal of the American Chemical Society, the group used multiplexed DNA barcoding techniques to overcome problems with nanopore filtering techniques for isolating harmful oligomers.

Prior research has shown that the presence of harmful oligomers in the brain can lead to misfolding of proteins associated with neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease. Medical researchers have been looking for a way to detect them in the blood as a way to diagnose neurodegenerative disease and to track the progression once it has been confirmed.

Unfortunately, finding them in complex mixtures such as blood has proven to be a daunting task. One approach has shown promise—using sensors—but to date, they cannot track target oligomers as they speed through customizable solid-state nanopore sensors. In this new effort, the research team overcame this problem by using customizable DNA nanostructures.

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There’s an unfortunate irony in cell therapy that holds it back from its full potential: Regenerating tissues often must be damaged to know if the treatment is working, such as surgically removing tissue to see if rejuvenation is occurring beneath.

The alternative isn’t much better: Patients can choose to wait and see if their health improves, but after weeks of uncertainty, they might find that no healing has taken place without a clear explanation as to why.

Jinhwan Kim, a new assistant professor of biomedical engineering at the University of California, Davis, who holds a joint appointment with the Department of Surgery at UC Davis Health, wants to change all of that. In his research program, he combines nanotechnology and novel bioimaging techniques to provide non-invasive, real-time monitoring of cellular function and health.

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I’ve been studying this topic for use in a story I’m working on and I’ve come across various videos and interviews on the topic, but they all seem mostly concerned with assembly of larger objects.

I was just curious if the same actions that would assemble an object could be reversed to disassemble it, or if there were other necessary actions that needed to be taken. I understand that energy needs to be put in to break a molecular bond, so is that something that would have to be taken into account as well?

Also, as a side note, the current idea is to have the nanobots be mostly carbon constructs, if that affects the way things work.

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On the highway of heat transfer, thermal energy is moved by way of quantum particles called phonons. But at the nanoscale of today’s most cutting-edge semiconductors, those phonons don’t remove enough heat. That’s why Purdue University researchers are focused on opening a new nanoscale lane on the heat transfer highway by using hybrid quasiparticles called “polaritons.” Credit: Purdue University photo/DALL-E.

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A team of researchers based at the University of Toronto’s (U of T) Leslie Dan Faculty of Pharmacy has discovered a novel ionizable lipid nanoparticle that enables muscle-focused mRNA delivery while minimizing off-target delivery to other tissues. The team also showed that mRNA delivered by the lipid nanoparticles investigated in their study triggered potent cellular-level immune responses as a proof-of-concept melanoma cancer vaccine.

The study, led by Bowen Li, assistant professor, Leslie Dan Faculty of Pharmacy, U of T, was published this week in Proceedings of the National Academy of Sciences.

Called iso-A11B5C1, the new nanoparticle demonstrates exceptional mRNA delivery efficiency in muscle tissues while also minimizing unintended mRNA translation in organs such as the liver and spleen.

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A team of researchers has reviewed a unique method for reforming the structures of ultra-small nanomaterials. These nanomaterials, called metal nanoclusters, bridge the gap between the metal atom and the bulk metal, making them highly useful in both basic and applied research. Metal nanoclusters have the potential for wide-ranging applications in the biomedical fields.

The team’s review paper is published in the journal Polyoxometalates.

The team investigated the phosphine-LEIST reaction. This method shows advantages in nanoclusters’ structural modification and property modulation. “The method we reviewed is able to modulate the atomically precise structure of metal nanoclusters and regulate their corresponding performance,” said Man-Bo Li, a professor at Anhui University, China.

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