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Different types of cancer have unique molecular “fingerprints” which are detectable in early stages of the disease and can be picked up with near-perfect accuracy by small, portable scanners in just a few hours, according to a study published today in the journal Molecular Cell.

The discovery by researchers at the Centre for Genomic Regulation (CRG) in Barcelona sets the foundation for creating new, non-invasive diagnostic tests that detect different types of cancer faster and earlier than currently possible.

The study centers around the ribosome, the protein factories of a cell. For decades, ribosomes were thought to have the same blueprint across the human body. However, researchers discovered a hidden layer of complexity—tiny chemical modifications which vary between different tissues, developmental stages, and disease.

Controlling matter at the atomic level has taken a major step forward, thanks to groundbreaking nanotechnology research by an international team of scientists led by physicists at the University of Bath.

This advancement has profound implications for fundamental scientific understanding. It is also likely to have important practical applications, such as transforming the way researchers develop new medications.

Continue reading “Controlling matter at the atomic level: University of Bath breakthrough” »

Current laser technologies for the extended short-wave infrared (SWIR) spectral range rely on expensive and complex materials, limiting their scalability and affordability. To address these challenges, ICFO researchers have presented a novel approach based on colloidal quantum dots in an Advanced Materials article. The team managed to emit coherent light (a necessary condition to create lasers) in the extended SWIR range with large colloidal quantum dots made of lead sulfide (PbS).

This new CQD-based technology offers a solution to the aforementioned challenges while maintaining compatibility with silicon CMOS platforms (the technology used for constructing integrated circuit chips) for on-chip integration.

Their PbS colloidal quantum dots are the first semiconductor lasing material to cover such a broad wavelength range. Remarkably, the researchers accomplished this without altering the dots’ chemical composition. These results pave the way towards the realization of more practical and compact colloidal quantum dots lasers.

A team of Rice University scientists has solved a long-standing problem in thermal imaging, making it possible to capture clear images of objects through hot windows. Imaging applications in a range of fields—such as security, surveillance, industrial research and diagnostics—could benefit from the research findings, which were reported in the journal Communications Engineering.

“Say you want to use thermal imaging to monitor chemical reactions in a high-temperature reactor chamber,” said Gururaj Naik, an associate professor of electrical and computer engineering at Rice and corresponding author on the study. “The problem you’d be facing is that the thermal radiation emitted by the window itself overwhelms the camera, obscuring the view of objects on the other side.”

A possible solution could involve coating the window in a material that suppresses thermal light emission toward the camera, but this would also render the window opaque. To get around this issue, the researchers developed a coating that relies on an engineered asymmetry to filter out the thermal noise of a hot window, doubling the contrast of thermal imaging compared to conventional methods.

Scientists have developed the first electrically pumped continuous-wave semiconductor laser composed exclusively of elements from the fourth group of the periodic table—the “silicon group.”

Built from stacked ultrathin layers of silicon germanium-tin and germanium-tin, this new laser is the first of its kind directly grown on a silicon wafer, opening up new possibilities for on-chip integrated photonics. The findings have been published in Nature Communications. The team includes researchers from Forschungszentrum Jülich, FZJ, the University of Stuttgart, and the Leibniz Institute for High Performance Microelectronics (IHP), together with their French partner CEA-Leti.

The rapid growth of artificial intelligence and the Internet of Things are driving the demand for increasingly powerful, energy-efficient hardware. Optical data transmission, with its ability to transfer vast amounts of data while minimizing energy loss, is already the preferred method for distances above 1 meter and is proving advantageous even for shorter distances. This development points towards future microchips featuring low-cost photonic integrated circuits (PICs), offering significant cost savings and improved performance.

Water electrolysis is a cornerstone of global sustainable and renewable energy systems, facilitating the production of hydrogen fuel. This clean and versatile energy carrier can be utilized in various applications, such as chemical CO₂ conversion, and electricity generation. Utilizing renewable energy sources such as solar and wind to power the electrolysis process may help reduce carbon emissions and promote the transition to a low-carbon economy.

The development of efficient and stable anode materials for the Oxygen Evolution Reaction (OER) is essential for advancing Proton Exchange Membrane (PEM) water electrolysis technology. OER is a key electrochemical reaction that generates oxygen gas (O₂) from water (H₂O) or hydroxide ions (OH⁻) during water splitting.

This seemingly simple reaction is crucial in energy conversion technologies like water electrolysis as it is hard to efficiently realize and a concurrent process to the wanted hydrogen production. Iridium (Ir)-based materials, particularly amorphous hydrous iridium oxide (am-hydr-IrO_x), are at the forefront of this research due to their high activity. However, their application is limited by high dissolution rates of the precious iridium.

Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed and demonstrated an innovative set of methods to evaluate long-term aging in real-world battery cells. The methods, described in a recent paper, are based on a phenomenon called nuclear magnetic resonance (NMR), commonly used in medical imaging. This is the first-ever NMRspectroscopy capability that can track in fine detail how the chemistry of commercial pouch battery cells evolves over years of operation.

Argonne develops a novel method that uses nuclear magnetic resonance spectroscopy to characterize the chemical evolution inside battery cells over years of operation.

Increasing the levels of chemicals naturally produced in the body called endocannabinoids may thwart the highly addictive nature of opioids such as morphine and oxycodone while maintaining the drugs’ ability to relieve pain, according to Weill Cornell Medicine investigators working with researchers from The Center for Youth Mental Health at NewYork-Presbyterian. Endocannabinoids bind to cannabinoid receptors throughout the body that regulate activities, such as learning and memory, emotions, sleep, immune response and appetite.

Opioids prescribed to control pain can become addictive because they not only dull pain, but also produce a sense of euphoria. The preclinical study, published Nov. 29 in Science Advances, may lead to a new type of therapeutic that could be taken with an opioid regimen to only reduce the rewarding aspect of opioids.

In 2023, opioid abuse or overuse was responsible for more than 80,000 deaths, fueling a national crisis, according to the U.S. Centers for Disease Control and Prevention. Illegal recreational drugs were ultimately responsible for many deaths, but not all of them. “When someone has surgery and is taking opioids for pain management, there’s always a risk of developing a dependence on these drugs,” said senior author Dr. Francis Lee, chair of the Department of Psychiatry at Weill Cornell Medicine and psychiatrist-in-chief at New York-Presbyterian/Weill Cornell Medical Center.

We are about to show you a technological innovation that could, one day, change the way every child in every school in America is taught. It’s an online tutor powered by artificial intelligence designed to help teachers be more efficient… and students learn more effectively. It’s called Khanmigo–conmigo means “with me,” in Spanish. And Khan…is its creator…Sal Khan, the well-known founder of Khan Academy — whose lectures and educational software have been used for years by tens of millions of students and teachers in the U.S. and around the world. Khanmigo was built with the help of OpenAI, the creator of ChatGPT. Its potential is staggering, but it’s still very much a work in progress. It’s being piloted in 266 school districts in the U.S. in grades three-12. We went to Hobart High School in Indiana to see how it works.

Melissa Higgason: Good morning, just a normal day in chem, right?

At eight in the morning Melissa Higgason knows it’s not always easy to get 30 high schoolers excited about chemistry.