Electronics and Telecommunications Research Institute (ETRI) announced that it has been conducting digital standardization research and development since 2020 in collaboration with the National Museum of Korea, Korea National University of Cultural Heritage, Chung-Ang University, LiST Co., Ltd., and the Technology Research Institute for Culture & Heritage to secure technological sovereignty in the digital field of cultural heritage in the era of AI.

A research team led by Dr. Jang Sung-roc at the Electrophysics Research Center of the Korea Electrotechnology Research Institute (KERI) has developed a ‘tailored pulsed power modulator for bias’, which can be applied in ultra-precision semiconductor processing.

University of Texas at Dallas scientists are working to limit the lifespan of potentially hazardous forever chemicals by developing new technologies to remove them quickly and efficiently from the environment. Dr. Mario Wriedt, associate professor of chemistry and biochemistry, is investigating the use of metal-organic frameworks to physically bind to and remove perfluoroalkyl and polyfluoroalkyl substances (PFAS) from contaminated sites, including water resources.

In celebration of more than a century of plant pathology publishing, The American Phytopathological Society (APS) has released a new virtual collection in Phytopathology^®, highlighting foundational research that has shaped the field of plant pathology since the journal’s inception in 1911.

Every three seconds, one life is lost to sepsis, according to the Global Sepsis Alliance. It is a life-threatening, dysregulated immune response to infection and remains a leading cause of death worldwide. Most of these deaths are preventable with timely intervention.

Conventional culturing diagnostic methods are often slow and imprecise. The advancement of metagenomic and targeted next-generation sequencing (mNGS and tNGS) now provides rapid precision diagnostics, enabling earlier treatment.

Mathematicians have developed a new method called the Maximum Agreement Linear Predictor (MALP), designed to improve predictions by ensuring they have the highest possible agreement with actual outcomes. Unlike traditional methods that focus on minimizing average error, MALP optimizes the Concordance Correlation Coefficient (CCC), a measure that assesses how closely predicted values align with actual values on a 45-degree line. Tested using real-world data from eye scans and body fat measurements, MALP consistently produced predictions that matched actual values more closely than the conventional least-squares approach. This makes MALP a valuable new tool for scientists in fields like medicine and social sciences, especially when the goal is not just to be close, but to achieve strong alignment with the truth.

Stanton McHardy, director of the Center for Innovative Drug Discovery (CIDD) and professor of chemistry, is contributing to three groundbreaking research programs aimed at developing safe, non-opioid medications for managing pain.

For many in Texas, opioids are a common prescription for pain relief, but these powerful drugs carry significant risks, including addiction and overdose. According to the Texas Department of State Health Services (DSHS), Texas’s drug poisoning deaths, which are largely attributed to opioid overdoses, have increased by more than 75% in the past five years.

Universidad Carlos III of Madrid (UC3M), through its Department of Mechanical Engineering and in collaboration with the organizing entity MADCUP, took part in the national final of the educational competition Stem Racing Spain supported by Formula 1®, formerly known as F1® in Schools.

The KIMM research team, led by Principal Researcher Dr. Jun Young Park at the Department of Energy Storage Systems, independently designed and manufactured a turbo expander and cold box, achieving Korea’s first successful air liquefaction test for energy storage. The system can produce up to 10 tons of liquid air per day, providing a foundation for future commercialization.