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Discusses the possibility of Femtotech and the technological possibilities it may unlock. Not long ago nanotechnology was a fringe topic; now it’s a flourishing engineering field, and fairly mainstream. For example, while writing this article, I happened to receive an email advertisement for the “Second World Conference on Nanomedicine and Drug Delivery,” in Kerala, India. It wasn’t so long ago that nanomedicine seemed merely a flicker in the eyes of Robert Freitas and a few other visionaries!

But nano is not as small as the world goes. A nanometer is 10–9 meters – the scale of atoms and molecules. A water molecule is a bit less than one nanometer long, and a germ is around a thousand nanometers across. On the other hand, a proton has a diameter of a couple femtometers – where a femtometer, at 10–15 meters, makes a nanometer seem positively gargantuan. Now that the viability of nanotech is widely accepted (in spite of some ongoing heated debates about the details), it’s time to ask: what about femtotech? Picotech or other technologies at the scales between nano and femto seem relatively uninteresting, because we don’t know any basic constituents of matter that exist at those scales. But femtotech, based on engineering structures from subatomic particles, makes perfect conceptual sense, though it’s certainly difficult given current technology.

The nanotech field was arguably launched by Richard Feynman’s 1959 talk “There’s Plenty of Room at the Bottom.” As Feynman wrote there.

“It is a staggeringly small world that is below. In the year 2000, when they look back at this age, they will wonder why it was not until the year 1960 that anybody began seriously to move in this direction.

Why cannot we write the entire 24 volumes of the Encyclopedia Brittanica on the head of a pin? ”

Bio: Hugo de Garis (born 1947, Sydney, Australia) is a researcher in the sub-field of artificial intelligence (AI) known as evolvable hardware. He became known in the 1990s for his research on the use of genetic algorithms to evolve neural networks using three dimensional cellular automata inside field programmable gate arrays. He claimed that this approach would enable the creation of what he terms “artificial brains” which would quickly surpass human levels of intelligence.

face_with_colon_three year 2021.


Highly active antiretroviral therapy (HAART) successfully suppresses human immunodeficiency virus (HIV) replication and improves the quality of life of patients living with HIV. However, current HAART does not eradicate HIV infection because an HIV reservoir is established in latently infected cells and is not recognized by the immune system. The successful curative treatment of the Berlin and London patients following bone marrow transplantation inspired researchers to identify an approach for the functional cure of HIV. As a promising technology, gene editing-based strategies have attracted considerable attention and sparked much debate. Herein, we discuss the development of different gene editing strategies in the functional cure of HIV and highlight the potential for clinical applications prospects. Graphical Abstract.

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Hello and welcome! My name is Anton and in this video, we will talk about new studies that present a scientific creation of artificial life.
Papers: https://linkinghub.elsevier.com/retrieve/pii/S0092867421002932
https://robotics.sciencemag.org/content/6/52/eabf1571
Old papers: https://science.sciencemag.org/content/329/5987/52?ijkey=844…f_ipsecsha.
https://pubmed.ncbi.nlm.nih.gov/14657399/
Press release and video/images: https://www.uvm.edu/uvmnews/news/team-builds-first-living-robots.
Images:
James Pelletier (MIT Center for Bits and Atoms and Department of Physics) and Elizabeth Strychalski (National Institute of Standards and Technology))
DOUGLAS BLACKISTON, Tufts University.
Otofrog, CC BY-SA 4.0
Charles Daghlian.
Universal Studios, NBCUniversal — Dr. Macro.
www.scientificanimations.com, CC0
IDKlab, CC0

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For millennia, humans have been harnessing #microbes to produce everything from breads, to cheeses, to alcohol. Now these tiny organisms have produced another powerful revolution — the gene editing tool CRISPR. Rodolphe Barrangou, Ph.D., was working at the food company Danisco, where he was trying to produce yogurt lines resistant to contamination. In a series of groundbreaking experiments, he helped uncover what CRISPR was, how it worked, and why it could be so transformative.

Speaker Biography:
Rodolphe Barrangou, Ph.D., studies beneficial microbes, focusing on the occurrence and diversity of lactic acid bacteria in fermented foods and as probiotics. Using functional genomics, he has focused on uncovering the genetic basis for health-promoting traits, including the ability to uptake and catabolize non-digestible carbohydrates. He spent 9 years at Danisco-DuPont, characterizing probiotics and starter cultures, and established the functional role of CRISPR-Cas as adaptive immune systems in bacteria. At NC State, he continues to study the molecular basis for their mechanism of action, as well as developing and applying CRISPR-based technologies for genotyping, building immunity and genome editing.

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#biology #research

CRISPR, the Nobel Prize-winning gene editing technology, is poised to have a profound impact on the fields of microbiology and medicine yet again.

A team led by CRISPR pioneer Jennifer Doudna and her longtime collaborator Jill Banfield has developed a clever tool to edit the genomes of bacteria-infecting viruses called bacteriophages using a rare form of CRISPR. The ability to easily engineer custom-designed —which has long eluded the —could help researchers control microbiomes without antibiotics or harsh chemicals, and treat dangerous drug-resistant infections. A paper describing the work was recently published in Nature Microbiology.

“Bacteriophages are some of the most abundant and diverse biological entities on Earth. Unlike prior approaches, this editing strategy works against the tremendous genetic diversity of bacteriophages,” said first author Benjamin Adler, a postdoctoral fellow in Doudna’s lab. “There are so many exciting directions here—discovery is literally at our fingertips.”

While studying how bio-inspired materials might inform the design of next-generation computers, scientists at the Department of Energy’s Oak Ridge National Laboratory achieved a first-of-its-kind result that could have big implications for both edge computing and human health.

Results published in Proceedings of the National Academy of Sciences show that an artificial is capable of long-term potentiation, or LTP, a hallmark of biological learning and . This is the first evidence that a cell membrane alone—without proteins or other biomolecules embedded within it—is capable of LTP that persists for many hours. It is also the first identified nanoscale structure in which memory can be encoded.

“When facilities were shut down as a result of COVID, this led us to pivot away from our usual membrane research,” said John Katsaras, a biophysicist in ORNL’s Neutron Sciences Directorate specializing in neutron scattering and the study of biological membranes at ORNL.

In the philosophy of mind, the multiple realizability thesis contends that a single mental kind (property, state, event) can be realized by many distinct physical kinds. A common example is pain. Many philosophers have asserted that a wide variety of physical properties, states, or events, sharing no features in common at that level of description, can all realize the same pain. This thesis served as a premise in the most influential argument against early theories that identified mental states with brain states (psychoneural, or mind-brain identity theories). It also served in early arguments for functionalism. Nonreductive physicalists later adopted this premise and these arguments (usually without alteration) to challenge all varieties of psychophysical reductionism. The argument was even used to challenge the functionalism it initially was offered to support. Reductionists (and other critics) quickly offered a number of responses, initially attacking either the anti-reductionist or anti-identity conclusion from the multiple realizability premise, or advocating accounts of the reduction relation that accommodated multiple realizability. More recently it has become fashionable to attack the multiple realizability premise itself. Most recently the first book-length treatment of multiple realizability and its philosophical import has appeared.

This entry proceeds mostly chronologically, to indicate the historical development of the topic. Its principle focus is on philosophy of mind and cognitive science, but it also indicates the more recent shift in emphasis to concerns in the metaphysics of science more generally. It is worth mentioning at the outset that multiple realizability has been claimed in physics (e.g., Batterman 2000), biochemistry (Tahko forthcoming) and synthetic biology (Koskinen 2019a, b). After more than fifty years of detailed philosophical discussion there still seems to be no end in sight for novel ideas about this persistent concern.

Imaging deep tissues with light is challenging. Visible light is often quickly absorbed and scattered by structures and molecules in the body, preventing researchers from seeing deeper than a millimeter within a tissue. If they do manage to probe further, substances like collagen or melanin often muddy the image, creating the equivalent of background noise through their natural fluorescence. As the authors explained, “Biological tissues have strong optical attenuation in the visible wavelength range (350–700 nm), due to the absorption of hemoglobin and melanin, as well as the tissue scattering, which fundamentally limits the imaging depth of high-resolution optical technologies.”

To wade out from these muddied waters, Yao and collaborator Vladislav Verkhusha, PhD, professor of genetics at Albert Einstein College of Medicine, developed a protein that absorbs and emits longer wavelengths of light in the near-infrared (NIR) spectrum. “Tissue is the most transparent in the 700‑1300 nm window of NIR light,” said Yao. “At those wavelengths, light can penetrate deeper into a tissue, and because there is less natural background fluorescence to filter out, we can take longer exposures and capture clearer images.”

Verkhusha and his lab used a process called directed molecular evolution to engineer their proteins, using photoreceptors normally found in bacteria as the basis for the structure. “The state-of-the-art NIR FPs were engineered from bacterial phytochrome photoreceptors (BphPs),” the team noted. “Applying rational design, we developed 17 kDa cyanobacteriochrome-based near-infrared (NIR-I) fluorescent protein, miRFP718nano.”

Researchers from the University of Maine and University of Massachusetts Amherst have designed new liquid-coated air filters that allow for improved early detection and analysis of airborne bacteria and viruses, including the one that causes COVID-19. The team has published their findings in the journal ACS Applied Materials & Interfaces.

While conventional air filters help control the spread of disease in like hospitals and travel hubs, they struggle to keep the pathogens they capture viable for testing. The inefficiency can inhibit scientists’ ability to identify biological threats early on, which could hinder any response and protection measures.

The research team, led by Caitlin Howell, a UMaine associate professor of biomedical engineering, developed a composite membrane with a liquid layer for filters that is better suited for capturing viable bacterial and viral samples for analysis. They modeled the membrane after the Nepenthes pitcher plant, which has a slippery rim and inner walls that cause insects to fall and become trapped within its digestive fluid. By keeping the bacteria and they capture feasible for examination, researchers say their novel liquid-coated air filters can enhance air sampling efforts, early pathogen detection and biosurveillance for national security.