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Archive for the ‘biological’ category

Sep 10, 2024

Analog biological backpropagation: A new conjecture “Self Aware Networks” explains how derivatives & loss functions are represented in the brain

Posted by in categories: biological, computing, neuroscience

Also discussed is a comparison between analog computing and digital in the context of computational biology. In this video I am reading a recent discussion of my notes with Self Aware Networks.

Sep 9, 2024

Nanoscale silver exhibits intrinsic self-healing abilities without external intervention

Posted by in categories: bioengineering, biological, nanotechnology

As an innovative concept in materials science and engineering, the inspiration for self-healing materials comes from living organisms that have the innate ability to self-heal. Along this line, the search for self-healing materials has been generally focused on “soft” materials like polymers and hydrogels. For solid-state metals, one may intuitively imagine that any form of self-healing will be much more difficult to achieve.

Sep 7, 2024

Unlocking the secrets of diamond: New insights into nitrogen-vacancy center formation

Posted by in categories: biological, computing, quantum physics

Research teams from Wuhan University and the China University of Geosciences (Wuhan) have revealed new insights into the formation mechanism of nitrogen-vacancies (NV) centers in type-Ib diamonds, a phenomenon critical to quantum sensing and computing advancements. Using a novel irradiation and annealing method, the teams demonstrated how controlled temperature and orientation can significantly increase the density and depth of NV centers, paving the way for new applications in biological imaging and quantum technologies.

Sep 7, 2024

Uncertainty Minimization and Pattern Recognition in Volvox Carteri and Volvox Aureus

Posted by in categories: biological, computing, neuroscience

Learning and a spectrum of other behavioral competencies allow organisms to rapidly adapt to dynamically changing environmental variations. The emerging field of diverse intelligence seeks to understand what systems, besides ones with complex brains, exhibit these capacities. Here, we tested predictions of a general computational framework based on the free energy principle in neuroscience but applied to aneural biological process as established previously, by demonstrating and manipulating pattern recognition in a simple aneural organism, the green algae Volvox. Our studies of the adaptive photoresponse in Volvox reveal that aneural organisms can distinguish between patterned and randomized inputs and indicate how this is achieved mechanistically.

Sep 6, 2024

Self-sensing cantilever design enhances microelectromechanical system performance in challenging environments

Posted by in categories: biological, computing

Microelectromechanical systems (MEMS) are tiny devices that integrate various components, such as miniature sensors, electronics and actuators, onto a single chip. These small devices have proved highly promising for precisely detecting biological signals, acceleration, force and other measurements.

Most of the MEMS developed to date are made of silicon and silicon nitride. While some of these devices have achieved promising results, their material composition and design limit their sensitivity and versatility, for instance limiting their use in wet environments.

In a recent Nature Electronics paper, researchers at Ecole Polytechnique Fédérale de Lausanne (EPFL) introduced an innovative cantilever design for MEMS based on a polymer, a semiconductor and ceramic. Cantilevers are tiny flexible beams that can adapt their shape in response to external forces or molecular interactions, thus potentially serving as sensors or actuators.

Sep 4, 2024

A new method captures the stochastic dynamics in coherent X-ray imaging

Posted by in categories: biological, chemistry, nanotechnology, space

Coherent X-ray imaging has emerged as a powerful tool for studying both nanoscale structures and dynamics in condensed matter and biological systems. The nanometric resolution together with chemical sensitivity and spectral information render X-ray imaging a powerful tool to understand processes such as catalysis, light harvesting or mechanics.

Unfortunately these processes might be random or stochastic in nature. In order to obtain freeze-frame images to study stochastic dynamics, the X-ray fluxes must be very high, potentially heating or even destroying the samples.

Also, detectors acquisition rates are insufficient to capture the fast nanoscale processes. Stroboscopic techniques allow imaging ultrafast repeated processes. But only mean dynamics can be extracted, ruling out measurement of stochastic processes, where the system evolves through a different path in phase space during each measurement. These two obstacles prevent coherent imaging from being applied to complex systems.

Sep 4, 2024

Dr. Angie Burnett, Ph.D. — Program Director, ARIA — Synthetic Plants For A Sustainable Future

Posted by in categories: biological, genetics, sustainability

Synthetic Plants For A Sustainable Future — Dr. Angie Burnett, Ph.D. — Program Director, Advanced Research + Invention Agency (ARIA)


Dr. Angie Burnett, Ph.D. is Program Director at the Advanced Research and Invention Agency (ARIA — https://www.aria.org.uk/), a UK organization created by an Act of Parliament, and sponsored by the Department for Science, Innovation, and Technology, to fund projects across a full spectrum of R\&D disciplines, approaches, and institutions, per the ARIA mission statement to “Look beyond what exists today to the breakthroughs we’ll need tomorrow”

Continue reading “Dr. Angie Burnett, Ph.D. — Program Director, ARIA — Synthetic Plants For A Sustainable Future” »

Sep 2, 2024

Aluminium foil that can clean water: we’ve developed a coating which attracts and traps dangerous microbes

Posted by in category: biological

A specially coated foil removed more than 99% of E. coli bacteria from water in laboratory tests.

Sep 2, 2024

Cells use alternative splicing to regulate gene expression, research suggests

Posted by in categories: biological, genetics

Alternative splicing is a genetic process where different segments of genes are removed, and the remaining pieces are joined together during transcription to messenger RNA (mRNA). This mechanism increases the diversity of proteins that can be generated from genes, by assembling sections of genetic code into different combinations. This is believed to enhance biological complexity by allowing genes to produce different versions of proteins, or protein isoforms, for many different uses.

Aug 30, 2024

Nanoplastics put stress on trees and impair photosynthesis

Posted by in categories: biological, nanotechnology, particle physics

And, if its in trees, guess where else it is, Crisis Yet? or nah.


It is well known that more and more plastic waste is ending up in soil and bodies of water. Researchers are particularly concerned about tiny micro-and nano-sized particles. It remains unclear how and to what extent they are able to enter living organisms—and what effect they may have on metabolism.

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