To advance space colonization, WVU research explores 3D printing in microgravity

WVU engineering students and Microgravity Research Team members Renee Garneau, Trenton Morris and Ronan Butts test a 3D printer the MRT lab has designed to operate in weightless environments like a spaceship, the moon or Mars.
Photo Credit: Brian Persinger / West Virginia University

Research from West Virginia University students and faculty into how 3D printing works in a weightless environment aims to support long-term exploration and habitation on spaceships, the moon or Mars.

Extended missions in outer space require the manufacture of crucial materials and equipment onsite, rather than transporting those items from Earth. Members of the Microgravity Research Team said they believe 3D printing is the way to make that happen.

The team’s recent experiments focused on how a weightless microgravity environment affects 3D printing using titania foam, a material with potential applications ranging from UV blocking to water purification. ACS Applied Materials and Interfaces published their findings.

“A spacecraft can’t carry infinite resources, so you have to maintain and recycle what you have and 3D printing enables that,” said lead author Jacob Cordonier, a doctoral student in mechanical and aerospace engineering at the WVU Benjamin M. Statler College of Engineering and Mineral Resources. “You can print only what you need, reducing waste. Our study looked at whether a 3D-printed titanium dioxide foam could protect against ultraviolet radiation in outer space and purify water. 

New Frequency Comb Can Identify Molecules in 20-Nanosecond Snapshots

A new frequency comb setup can capture the moment-by-moment details of carbon dioxide gas escaping from a nozzle at supersonic speeds in an air-filled chamber, followed by rapid oscillations of gas due to complex aerodynamics within the chamber. The data plot shows the absorbance of light (vertical) over time (horizontal left to right) across a range of frequencies (horizontal forward to back).
Illustration Credit: G. Mathews/University of Colorado Boulder

From monitoring concentrations of greenhouse gases to detecting COVID in the breath, laser systems known as frequency combs can identify specific molecules as simple as carbon dioxide and as complex as monoclonal antibodies with unprecedented accuracy and sensitivity. Amazing as they are, however, frequency combs have been limited in how fast they can capture a high-speed process such as hypersonic propulsion or the folding of proteins into their final three-dimensional shapes.

Now, researchers at the National Institute of Standards and Technology (NIST), Toptica Photonics AG and the University of Colorado Boulder have developed a frequency comb system that can detect the presence of specific molecules in a sample every 20 nanoseconds, or billionths of a second. With this new capability, researchers can potentially use frequency combs to better understand the split-second intermediate steps in fast-moving processes ranging from the workings of hypersonic jet engines to the chemical reactions between enzymes that regulate cell growth. The research team announced its results in a paper published in Nature Photonics.

Bowel cancer: aspirin activates protective genes

Photo Credit: günter

Colorectal cancer (bowel cancer) is the third most common form of cancer worldwide, with around 1.9 million newly diagnosed cases and 900,000 deaths every year. Therefore, preventive substances represent an urgent clinical need. Aspirin/acetylsalicylic acid has proven to be one of the most promising candidates for the prevention of colorectal cancer. Among other findings, studies have shown that when patients with cardiovascular diseases took low doses of aspirin over several years, it reduced their risk of colorectal cancer. Furthermore, aspirin can inhibit the progression of colorectal cancer. Now a team led by Heiko Hermeking, Professor of Experimental and Molecular Pathology at LMU, has investigated which molecular mechanisms mediate these effects.

As the researchers report in the journal Cell Death and Disease, aspirin induces the production of two tumor-suppressive microRNA molecules (miRNAs) called miR-34a and miR-34b/c. To do this, aspirin binds to and activates the enzyme AMPK, which in turn alters the transcription factor NRF2 such that it migrates into the cell nucleus and activates the expression of the miR-34 genes. For this activation to succeed, aspirin additionally suppresses the oncogene product c-MYC, which otherwise inhibits NRF2.

New strategies needed to help banana farmers recover from climate shocks

Photo Credit: Jonas Von Werne

Extreme weather events and the globalized nature of food production puts smallholder farmers at risk of ‘double exposure’ of production and market loss, according to a new study.

Researchers including from the University of Exeter, University of Oxford and ETH Zurich, examined the Global Food Value Chain (GFVC) – an international network of stakeholders involved in food production, processing, distribution, retailing and consumption – of bananas grown in the Dominican Republic, the UK’s most important supplier of organic bananas.

They found that smallholder farmers hit by hurricane-induced flooding faced not only the loss of production but also a loss of market access for their undamaged produce, and called for new strategies to tackle the aftermath of climate shocks.

The researchers integrated satellite, household survey and trade data to investigate the impacts of two consecutive hurricanes (Hurricanes Irma and Maria in 2017) and subsequent flooding on smallholder banana farmers in Dominican Republic and what factors determined their recovery from such events.

Weekly insulin injections have the potential to be as effective

Photo Credit: Peter Stanic

Insulin icodec, a once-weekly basal injection to treat type 1 diabetes, has the potential to be as effective in managing the condition as daily basal insulin treatments, according to research from the University of Surrey. The results of the year-long phase 3 clinical trial could revolutionize the future of diabetes care and help millions of people better manage their condition. 

During this pioneering study, scientists across 12 countries at 99 sites, led by Professor David Russell-Jones from Surrey, tested the efficacy and safety of a weekly basal injection of icodec (a long-lasting type of insulin) and compared it to a daily basal injection of insulin degludec in adults with type 1 diabetes. Short acting insulin to cover meals was used in both groups. 

Professor David Russell-Jones, Professor of Diabetes and Endocrinology at the University of Surrey and a Consultant at the Royal Surrey Foundation Trust, said: 

"Many people find managing a long-term condition such as diabetes very difficult and report missing vital insulin injections. Missed injections can affect glycaemic control, and a lack of consistency in the treatment has been linked to increased rates of diabetic ketoacidosis, a serious complication of the condition that can be life-threatening. Reducing insulin injection frequency could lessen the burden of treatment for some people with the condition and improve their glycaemic control." 

Type 1 diabetes occurs when the body cannot produce enough of the hormone insulin, causing the level of glucose (sugar) in the blood to become too high, leading to an increased risk of developing heart, eye, and kidney disease. 

To learn more about the efficacy of icodec, scientists recruited 582 participants with type 1 diabetes. Participants were split into two groups; the first received once-weekly injections of icodec (700U/ml), and the second received daily injections of degludec (100 U/ml), both in combination with aspart, a short-acting insulin at mealtimes. 

After 26 weeks, scientists identified HbA1C (a protein within red blood cells with glucose attached to it and the universal marker for overall diabetes control) levels in those who had taken icodec had decreased from a mean of 7.59 percent at baseline to an estimated mean of 7.15 percent, and for degludec, the mean had decreased from 7.63 percent to 7.10 percent. The estimated treatment difference between them being 0.05 percent, confirming the non-inferiority of icodec to degludec, but with a significantly reduced injection frequency for patients to manage. 

 Scientists did also identify higher rates of hypoglycemic episodes (abnormally low levels of glucose in the blood) in the icodec group compared to degludec. However, despite the higher levels in the icodec group, scientists noted that incidences were low in both groups, with most episodes only requiring oral carbohydrate administration. For icodec, time below 3.0 mmol/L was at the threshold of the internationally recommended targets during weeks 22-26 and below recommended targets during weeks 48-52.  

 Professor Russell-Jones added: 

 "What we have found is that once-weekly icodec injections showed non inferiority to once-daily injections of degludec in reducing HbA1C after 26 weeks. Although there is a slightly higher rate of hypoglycaemia under this regime, we found this could be easily managed. We’ve concluded this new insulin may have a role in reducing the burden of daily basal injections for patients managing type 1 diabetes. 

 "Our findings are very promising, but further analysis of continuous glucose monitoring data and real-world studies are needed." 

Funding: Provided by Novo Nordisk. 

Published in journal: The Lancet

Source/Credit: University of Surrey

Reference Number: phar103023_01

Privacy Policy | Terms of Service | Contact Us

Humans have substantially altered the relationship between wolves and deer

A breeding female wolf traveling on a logging road carrying a deer fawn back to her pups in June 2023.
 Photo Credit: Voyageurs Wolf Project

New research from the University of Minnesota’s Voyageurs Wolf Project found that human activities in northern Minnesota — logging, road and trail creation, and infrastructure development — have profoundly impacted where wolves hunt and kill deer fawns. By altering forest ecosystems, humans have created an environment that possibly favors predators. 

This research, recently published in Ecological Applications, is a collaboration between the University of Minnesota, Northern Michigan University, the University of Manitoba, Voyageurs National Park, and the Voyageurs Wolf Project. The Voyageurs Wolf Project is funded, in part, by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR). 

“The premise is really quite simple: human activities change where deer are on the landscape, and wolves go where the deer are,” said co-lead author Thomas Gable, a postdoctoral researcher at the University of Minnesota and project lead for the Voyageurs Wolf Project. 

New antibody could target breast cancers

A synthetic antibody called RD-43, developed by graduate student Zhe Qian in collaboration with CSHL’s Antibody & Phage Display Shared Resource, may help stop the spread of breast cancer by degrading the PTPRD enzyme.
Image Credit: Courtesy of Cold Spring Harbor Laboratory

An enzyme that may help some breast cancers spread can be stopped with an antibody created in the lab of Cold Spring Harbor Laboratory Professor Nicholas Tonks. With further development, the antibody might offer an effective drug treatment for those same breast cancers.

The new antibody targets an enzyme called PTPRD that is overabundant in some breast cancers. PTPRD belongs to a family of molecules known as protein tyrosine phosphatases (PTPs), which help regulate many cellular processes. They do this by working in concert with enzymes called kinases to control how other proteins inside cells behave. Kinases add small chemical regulators called phosphates to proteins. PTPs take them off.

Disruptions in the addition or removal of phosphates can contribute to inflammation, diabetes, and cancer. Some disruptions can be corrected with kinase-blocking drugs. Tonks explains:

Tackling the growing issue of light pollution

An experimental street light erected at Cockle Park Farm, Newcastle University
Photo Credit: Courtesy of Newcastle University

Light pollution, or excessive artificial light at night, is now recognized as a major driver of environmental change, adversely impacting wildlife and even human health. But predicting how entire communities of plants and animals respond to light pollution is difficult. Published today (30 October) in the Philosophical Transactions of the Royal Society B, the world’s longest running scientific journal, a team of Guest Editors that includes researchers from Newcastle University have compiled a theme issue titled ‘light pollution in complex ecological systems’ that draws together 17 papers from experts in the field.

Professor Darren Evans from the School of Natural and Environmental Sciences, who is a Guest Editor and author of three of the published papers, said: “Street lights, vehicles, commercial buildings and domestic sources are all contributing to night-time light pollution, and it is becoming increasingly clear that it affects a range of plants and animals, including humans. But most studies to date have tended to look at the responses of individual species, rather than looking at the responses of whole communities at the ecosystem scale. This theme issue goes some way to addressing that gap.”

The collection of studies in the theme issue aims to dive deeper into how light pollution affects the natural environment. Newly published articles investigate light pollution ecology at various scales and in a range of environments, from single processes to whole communities, to better understand the relationship between light pollution, ecological balance, and human influence.

Using lasers to ‘heat and beat’ 3D-printed steel could help reduce costs

Retrieval of a stainless steel part made by 3D printing 
Photo Credit: Jude E. Fronda

The method, developed by a research team led by the University of Cambridge, allows structural modifications to be ‘programmed’ into metal alloys during 3D printing, fine-tuning their properties without the ‘heating and beating’ process that’s been in use for thousands of years.

The new 3D printing method combines the best qualities of both worlds: the complex shapes that 3D printing makes possible, and the ability to engineer the structure and properties of metals that traditional methods allow. The results are reported in the journal Nature Communications.

3D printing has several advantages over other manufacturing methods. For example, it’s far easier to produce intricate shapes using 3D printing, and it uses far less material than traditional metal manufacturing methods, making it a more efficient process. However, it also has significant drawbacks.

“There’s a lot of promise around 3D printing, but it’s still not in wide use in industry, mostly because of high production costs,” said Dr Matteo Seita from Cambridge’s Department of Engineering, who led the research. “One of the main drivers of these costs is the amount of tweaking that materials need after production.”

The brain may learn about the world the same way some computational models do

Two new MIT studies offer evidence supporting the idea that the brain uses a process similar to a machine-learning approach known as “self-supervised learning.”
Illustration Credit: geralt

To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain.

How does the brain develop that intuitive understanding? Many scientists believe that it may use a process similar to what’s known as “self-supervised learning.” This type of machine learning, originally developed as a way to create more efficient models for computer vision, allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

A pair of studies from researchers at the K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center at MIT offers new evidence supporting this hypothesis. The researchers found that when they trained models known as neural networks using a particular type of self-supervised learning, the resulting models generated activity patterns very similar to those seen in the brains of animals that were performing the same tasks as the models.

The findings suggest that these models are able to learn representations of the physical world that they can use to make accurate predictions about what will happen in that world, and that the mammalian brain may be using the same strategy, the researchers say.