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Category: biological – Page 7

Traditional 3D printing builds objects layer by layer, but tomographic volumetric additive manufacturing (TVAM) takes a different approach. It uses laser light to illuminate a rotating vial of resin, solidifying material only where the accumulated energy surpasses a specific threshold. A key advantage of TVAM is its speed—it can produce objects in seconds, whereas conventional layer-based 3D printing takes about 10 minutes. However, its efficiency is a major drawback, as only about 1% of the projected light contributes to forming the intended shape.

Researchers from EPFL’s Laboratory of Applied Photonic Devices, led by Professor Christophe Moser, and the SDU Centre for Photonics Engineering, led by Professor Jesper Glückstad, have developed a more efficient TVAM technique, as reported in Nature Communications

<em> Nature Communications </em> is an open-access, peer-reviewed journal that publishes high-quality research from all areas of the natural sciences, including physics, chemistry, Earth sciences, and biology. The journal is part of the Nature Publishing Group and was launched in 2010. “Nature Communications” aims to facilitate the rapid dissemination of important research findings and to foster multidisciplinary collaboration and communication among scientists.

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Head to https://squarespace.com/artem to save 10% off your first purchase of a website or domain using code ARTEMKIRSANOV

Socials:
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My name is Artem, I’m a graduate student at NYU Center for Neural Science and researcher at Flatiron Institute.

In this video video we are exploring a fascinating paper which revealed the role of biological constraints on what patterns of neural dynamics the brain and cannot learn.
Link to the paper: https://www.nature.com/articles/s4159… small correction: I didn’t mention in this in the video, but the dimensionality-reduction process for BCI was two-stage. First, the source 90D neural activity was non-linearly projected to 10 using Factor analysis, and only after that 2D projections of this 10D space were shown as cursor positions. It doesn’t change the interpretation of the result, just wanted to be more technically correct about the methods. Outline: 00:00 Introduction 01:01 Temporal sequences 02:10 The experimental challenge 4:42 Biofeedback and BCIs as a research tool 7:30 Sponsor: Squarespace 8:44 Experimental setup 11:36 Two 2D projections of neural activity 12:53 Switching BCI mapping reveals activity constraints 14:46 Conclusion Icons by Freepik and Biorender Music by Artlist.

A small correction: I didn’t mention in this in the video, but the dimensionality-reduction process for BCI was two-stage. First, the source 90D neural activity was non-linearly projected to 10 using Factor analysis, and only after that 2D projections of this 10D space were shown as cursor positions. It doesn’t change the interpretation of the result, just wanted to be more technically correct about the methods.

Outline:

Continue reading “Are There Limits What Brains Can Learn?” | >

A new study by researchers at the Max Planck Institute for Evolutionary Biology (MPI-EB) sheds fresh light on one of the most debated concepts in biology: evolvability. The work provides the first experimental evidence showing how natural selection can shape genetic systems to enhance future capacity for evolution, challenging traditional perspectives on evolutionary processes.

The research is published in the journal Science. A related Perspective article also appears in Science.

The ability of organisms to generate adaptive genetic variation is crucial for evolutionary success, particularly in changing environments. The MPI-EB study investigates whether operates not merely as a “blind” process driven by but could actively favor mechanisms that channel mutations toward adaptive outcomes.

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A recent study published in Science by a Belgian research team investigates how genetic switches that regulate gene activity define brain cell types across different species.

A species is a group of living organisms that share a set of common characteristics and are able to breed and produce fertile offspring. The concept of a species is important in biology as it is used to classify and organize the diversity of life. There are different ways to define a species, but the most widely accepted one is the biological species concept, which defines a species as a group of organisms that can interbreed and produce viable offspring in nature. This definition is widely used in evolutionary biology and ecology to identify and classify living organisms.

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A team of scientists from Nanyang Technological University, Singapore (NTU Singapore) has developed an artificial ‘worm gut’ to break down plastics, offering hope for a nature-inspired method to tackle the global plastic pollution problem.

By feeding worms with plastics and cultivating microbes found in their guts, researchers from NTU’s School of Civil and Environmental Engineering (CEE) and Singapore Centre for Environmental Life Sciences Engineering (SCELSE) have demonstrated a new method to accelerate plastic biodegradation.

Previous studies have shown that Zophobas atratus worms – the larvae of the darkling beetle commonly sold as pet food and known as ‘superworms’ for their nutritional value – can survive on a diet of plastic because its gut contains bacteria capable of breaking down common types of plastic. However, their use in plastics processing has been impractical due to the slow rate of feeding and worm maintenance.

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When discussing motors, most people think of those in vehicles or machines. However, biological motors have existed for millions of years in microorganisms. Many bacteria use tail-like structures called flagella, which rotate to propel them through fluids. This movement is driven by a protein complex known as the flagellar motor.

The flagellar motor has two key components: the rotor and the stators. The rotor, a large rotating structure anchored to the cell membrane, drives flagellum movement. The stators, smaller structures surrounding the rotor, contain ion pathways that transport protons or sodium ions, depending on the bacterial species.

A species is a group of living organisms that share a set of common characteristics and are able to breed and produce fertile offspring. The concept of a species is important in biology as it is used to classify and organize the diversity of life. There are different ways to define a species, but the most widely accepted one is the biological species concept, which defines a species as a group of organisms that can interbreed and produce viable offspring in nature. This definition is widely used in evolutionary biology and ecology to identify and classify living organisms.

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Protein prediction involves analyzing the amino acid sequence of a protein to determine its biological roles. Accurately predicting a protein’s provides valuable insights, allowing scientists to identify the roles of newly discovered proteins, search for proteins suited for specific tasks, or evaluate theality of computer-designed proteins.

Copilot provides an AI chat platform offering no-install, no-code, real-time access to advanced protein prediction tools, enabling researchers to efficiently analyze and explores using a single text prompt.

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