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Scientists are Teaching Shrimp to Eat in Microgravity for Future Moon Bases

As far as we know, food doesn’t exist naturally in space. We have to bring it with us if we want to explore the final frontier. One of the oldest and most common types of food on planet Earth is seafood, yet we know surprisingly little about how aquatic animals would react to the microgravity environment they would experience in space. A new paper by researchers at Japan’s Okayama University of Science, which was recently published in Microgravity Science and Technology, hopes to tackle that question. It used a novel way to simulate microgravity to watch how crustaceans would react to the space environment, and found that they could likely be good candidates as part of a future space food chain.

Most microgravity experiments on Earth take place in drop chambers or parabolic flights — both of which only offer a few seconds of true “microgravity”, and aren’t suitable for longer duration testing. The International Space Station offers an alternative, but is extremely expensive and has very limited space to run additional experiments. So the researchers turned to an alternative tool — the clinostat.

These specialized chambers rapidly change the orientation their contents are subjected to, varying the gravity field they experience and mimicking at least some of the effects of microgravity. They rotate in such a way that the combination of gravity and centrifugal force will eventually come out to essentially zero over a period of time. These machines work well for single-celled organisms and plants. But they’re not as effective for complex animals.

The future of neurotechnology | Sri Sarma | TEDxBoston

NOTE FROM TED: This talk only represents the speaker’s personal approach to and understanding of neural systems, technology, and defense. TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers are described in more detail here: http://storage.ted.com/tedx/manuals/t

Autonomous systems can process vast amounts of information—but they struggle when the unexpected happens. The human brain, by contrast, thrives in uncertainty. In this provocative talk, Sri Sarma reveals how merging machine intelligence with living neural systems could create a new class of adaptive technologies, from resilient autonomous vehicles to precision therapies that operate inside the human body. The nations that lead this future in \.

Oxalate buildup triggers systemic inflammation and cardiac damage, study shows

People with chronic kidney disease (CKD) have a significantly increased risk of death from cardiovascular disease. They also suffer from chronic inflammation, the causes of which are still only partly understood. Oxalic acid (oxalate) has so far been known primarily for its role in the formation of kidney stones. The molecule is a natural metabolic byproduct, is found in certain foods and is normally excreted by the kidneys in urine. However, when kidney function is impaired, oxalate accumulates in the body and can promote inflammatory processes.

The Experimental Biomedicine II department at Würzburg University Hospital (UKW), together with the Experimental and Clinical Research Center (ECRC), a joint institution of Charité—Universitätsmedizin Berlin and the Max Delbrück Center, investigated the immunological mechanisms linking oxalate-induced kidney damage with systemic inflammation and cardiovascular injury.

“In our research project, an oxalate-enriched diet activated the immune system systemically in mice. In other words, inflammatory processes spread throughout the body. This led not only to kidney damage, but also to pathological changes in the heart that reduced cardiac function,” says Dr. Hendrik Bartolomaeus. The scientist, who is part of Professor Alma Zernecke-Madsen’s team at UKW, shares senior authorship of the study with Dr. Nicola Wilck of ECRC. The study was published in Cardiovascular Research. Bartolomaeus previously worked in Wilck’s laboratory.

Nanoparticles could remove harmful immune molecules from blood

The immune system, the body’s defense network against infections and injuries, can sometimes become too active. In these cases, it can produce too many immune mediators, fragments of genetic material or proteins that regulate immune responses.

An excess of these molecules in the bloodstream can cause severe inflammation, sometimes leading to life-threatening medical conditions such as sepsis and acute lung injury. Sepsis is an extreme and life-threatening response to a bacterial, viral or fungal infection. Acute lung injury, on the other hand, occurs when inflammation causes fluid to leak into the lungs, impairing breathing and potentially leading to respiratory failure.

Some biomedical scientists and engineers have been trying to identify promising solutions to remove these excess immune mediators from the bloodstream. Some proposed approaches rely on lysosome-targeting chimeras (LYTACs), molecules that could remove proteins outside or on the surface of cells, directing them to lysosomes (i.e., organelles that dispose of or recycle food particles and other cell waste).

Machine learning improves identification of asthma risk in children

A machine learning tool that analyzes information already captured in a child’s electronic health record helped pediatricians more accurately assess asthma risk in standardized clinical case scenarios, according to a pilot randomized clinical trial led by a Regenstrief Institute researcher. The study was published in Scientific Reports.

The study evaluated a machine learning-enabled clinical decision support tool called the Passive Digital Marker, which uses routinely collected EHR data to classify young children as having a high or low risk of developing persistent asthma.

Asthma is one of the most common chronic childhood diseases, but predicting which young children with wheezing or other respiratory symptoms will go on to develop persistent asthma remains difficult. While some children outgrow these symptoms, others require ongoing treatment, making early risk assessment an important but challenging part of pediatric care.

CD8+ T cells in atherosclerosis and coronary artery disease

In this Review, Hossam Abdelsamed and colleagues discuss the different phenotypes and functions of CD8+ T cell subsets at different stages of atherosclerosis, as well as their roles in common comorbidities of atherosclerotic cardiovascular disease. The authors also highlight potential therapeutic strategies targeting CD8+ T cells and key knowledge gaps in our understanding of the role of these cells in atherosclerosis.

AI unlocks QLED recipe that doubles efficiency and boosts lifetime 40-fold

A technology has been developed that allows artificial intelligence to inversely determine the process conditions for quantum-dot light-emitting diode (QLED) devices—conditions that previously required extensive trial and error to identify.

When applied to actual devices, the technology roughly doubled efficiency and extended operational lifetime more than 40-fold, raising expectations that it could accelerate the development of next-generation displays.

Seoul National University’s College of Engineering announced that a joint research team led by Professor Jeonghun Kwak of the Department of Electrical and Computer Engineering and Professor Jaehoon Lim of Sungkyunkwan University’s Department of Energy Science has developed an AI-based platform that inversely designs the optimal solvent properties for arranging quantum dots uniformly and densely during the fabrication of QLEDs.

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