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A magnetic field can be used to switch nanolasers on and off, shows new research from Aalto University. The physics underlying this discovery paves the way for the development of optical signals that cannot be disturbed by external disruptions, leading to unprecedented robustness in signal processing.

Lasers concentrate light into extremely bright beams that are useful in a variety of domains, such as broadband communication and medical diagnostics devices. About ten years ago, extremely small and fast lasers known as plasmonic nanolasers were developed. These nanolasers are potentially more power-efficient than traditional lasers, and they have been of great advantage in many fields—for example, nanolasers have increased the sensitivity of biosensors used in medical diagnostics.

So far, switching nanolasers on and off has required manipulating them directly, either mechanically or with the use of heat or light. Now, researchers have found a way to remotely control nanolasers.

A major new study of ancient DNA has traced the movement of people into southern Britain during the Bronze Age. In the largest such analysis published to date, scientists examined the DNA of nearly 800 ancient individuals.

The new study, led by the University of York, Harvard Medical School, and the University of Vienna, shows that people moving into southern Britain around 1300‒800 BC were responsible for around half the genetic ancestry of subsequent populations.

The combined DNA and suggests that, rather than a violent invasion or a single migratory event, the genetic structure of the population changed through sustained contacts between mainland Britain and Europe over several centuries, such as the movement of traders, intermarriage, and small scale movements of family groups.

The World Health Organization (WHO) has officially recommended the widespread use of a malaria vaccine for the first time.

“As some of you may know, I started my career as a malaria researcher, and I longed for the day that we would have an effective vaccine against this ancient and terrible disease,” Director-General Tedros Adhanom Ghebreyesus said. “Today is that day, an historic day.”

The challenge: Malaria is a serious parasitic disease spread by mosquitoes. Although eradicated in the U.S. and many other countries, it’s a major threat to people in other parts of the world, claiming more than 400,000 lives every year, and about half of the deaths are children under the age of five.

Q&A with Akiko Iwasaki, PhD, discussing research her team conducted recently that discovered local vaccines administered with a nasal spray were more effective in protecting mice against influenza than vaccines that are injected into the muscle, the way standard flu shots are done.


A Yale School of Medicine research team led by Akiko Iwasaki, PhD, recently found that local vaccines administered with a nasal spray were more effective in protecting mice against influenza than vaccines that are injected into the muscle, the way standard flu shots are done. Iwasaki, who is Waldemar Von Zedtwitz Professor of Immunobiology and professor of molecular, cellular, and developmental biology and of epidemiology (microbial diseases), discusses her new research, which was published December 10 in Science Immunology.

Akiko Iwasaki: We found that local mucosal immunity that’s established by intranasal vaccination elicits a much more robust and cross reactive, cross protective immunity than a conventional vaccine that uses intramuscular injection. And the way we got to this knowledge is that we were comparing different routes of vaccine administration and found that only after the intranasal vaccination, there are these antibodies that are secreted into the mucosa known as IgA. And this IgA coats the mucus membrane and mucus surface and protects the host by preventing the virus from entering the body. So it’s like putting the guard outside of the door instead of inside the door where antibodies normally work, inside the body.

They are at the forefront in the fight against viruses, bacteria, and malignant cells: the T cells of our immune system. But the older we get, the fewer of them our body produces. Thus, how long we remain healthy also depends on how long the T cells survive. Researchers at the University of Basel have now uncovered a previously unknown signaling pathway essential for T cell viability.

Like human beings, every cell in our body tries to ward off death as long as it can. This is particular true for a specific type of immune cells, called T-lymphocytes, or T cells for short. These cells keep viruses, bacteria, parasites and cancerous cells at bay. While T cell production is an active process in infants, children and young adults, it comes to a gradual stop upon aging, meaning that in order to maintain adequate immunity up to an old age, your T cells should better live as long as you.

How T cells manage to survive for such a long time, up to several decades in humans, has long remained unclear. In collaboration with scientists at the Department of Biomedicine and sciCORE, the Center for Scientific Computing of the University of Basel, Professor Jean Pieters’ research group at the Biozentrum has now revealed the existence of a hitherto unrecognized pathway promoting long-term survival of T cells. In Science Signaling they report that this signaling pathway, regulated by the protein coronin 1, is responsible for suppressing T cell death.

Drug-target interaction is a prominent research area in drug discovery, which refers to the recognition of interactions between chemical compounds and the protein targets. Chemists estimate that 1,060 compounds with drug-like properties could be made—that’s more than the total number of atoms in the Solar System, as an article reported in the journal Nature in 2017.

Drug development, on average, takes about 14 years and costs up to 1.5 billion dollars. During the journey of in this vast “galaxy,” it is apparent that traditional biological experiments for DTI detection are normally costly and time-consuming.

Prof. Hou Tingjun is an expert in computer-aided drug design (CADD) at the Zhejiang University College of Pharmaceutical Sciences. In the past decades, he has been committed to developing drugs using computer technology. “The biggest challenge lies in the interactions between unknown targets and drug molecules. How can we discover them more efficiently? This involves a new breakthrough in method.”

A number of four-legged robot dogs made by companies like Boston Dynamics, Anybotics and Ghost Robotics have been deployed in the workforce already for applications like inspections, security and public safety among others. At their core, these four-legged robots are mobility platforms that can be equipped with different payloads depending on the type of information that companies want to gather.

Experts predict the insurance industry alone will spend $1.7 billion on robotics systems in 2025. And other industries may follow suit. Amid the pandemic, a tight job market is forcing many companies to turn to automation. A survey done in December of 2020 by McKinsey, showed that 51 percent of respondents in North America and Europe said they had increased investment in new technologies during 2020, not including remote-work technologies.

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A documentary and journey into the future exploring the possibilities and predictions of artificial intelligence. This timelapse of the future explores what is coming, from robots that are too fast for humans to see, to A.I. bots from Microsoft (bringing back loved ones to life) and Google’s laMDA (replacing the need for online searches).

Elon Musk’s Neuralink goes from a medical and healthcare device, to helping people become superhuman – with intelligence amplification, and add-ons that connect to the brain chip.

Artificial general intelligence begins to design an A.I. more powerful than itself. People begin to question if humanity has reached the technological singularity. Artificial Super Intelligence emerges from the AGI.

And further into the deep future. Human consciousness becomes digitized and uploaded into a metaverse simulation. It is merged with A.I. creating hybrid consciousness – which spreads across the cosmos. Matrioshka brains and Dyson Spheres host humanity’s consciousness in a cosmic simulation network.

Quotes about the future from: James J Hughes.

Additional footage sourced from: Neuralink, Tesla.

Over-the-counter antioxidants 🤔

Mitochondria are pivotal for bioenergetics, as well as in cellular response to viral infections. Nevertheless, their role in COVID-19 was largely overlooked. Here, we analyzed available bulk RNA-seq datasets from COVID-19 patients and corresponding healthy controls (three blood datasets, N = 48 healthy, 119 patients; two respiratory tract datasets, N = 157 healthy, 524 patients). We found significantly reduced mtDNA gene expression in blood, but not in respiratory tract samples from patients. Next, analysis of eight single-cells RNA-seq datasets from peripheral blood mononuclear cells, nasopharyngeal samples, and Bronchoalveolar lavage fluid (N = 1,192,243 cells), revealed significantly reduced mtDNA gene expression especially in immune system cells from patients. This is associated with elevated expression of nuclear DNA-encoded OXPHOS subunits, suggesting compromised mitochondrial-nuclear co-regulation. This, together with elevated expression of ROS-response genes and glycolysis enzymes in patients, suggest rewiring toward glycolysis, thus generating beneficial conditions for SARS-CoV-2 replication. Our findings underline the centrality of mitochondrial dysfunction in COVID-19.

The Neuro-Network.

GOING TO BED AFTER THIS SPECIFIC TIME DAMAGES METABOLIC HEALTH – STUDY


In a study published last week in Diabetologia, both disturbed sleep patterns and going to sleep after midnight were correlated to a less-than-optimal postprandial response. Specifically, poor sleep affected the body’s ability to rope glucose (sugar) levels back to normal after a meal.

Essentially, the study shows how a night of stop-and-go sleep may mess with your body’s ability to regulate blood sugar, and that going to bed late might also be bad for metabolism. In turn, the length of time spent snoozing didn’t seem to make a difference — so even if you went to bed at 1 a.m. and woke up at 12 p.m., the body still processes the first meal of the day suboptimally.

“We understand there are three pillars of a healthy lifestyle — diet, exercise, and sleep — and they aren’t independent of one another,” study co-author Paul Franks, of the Lund University Diabetes Centre in Malmö, Sweden, tells Inverse.