Recently, a research team led by Associate Professor Jian Chen at China Agricultural University developed two novel Type I-C CRISPR systems, Aca I-C and Cja I-C, that enable efficient genome editing in maize. The study establishes Type I-C CRISPR systems as additional platforms for plant genome engineering and highlights the potential of microbial genome mining for discovering editing tools. These technologies may contribute to future crop improvement by providing alternative strategies for targeted genome modification.

The study delineates the complete pathway of calcium action: from macroscopically improving stem structure, to microscopically remodeling cell wall components, and to molecularly regulating gene networks—ultimately strengthening the stem from the inside out to achieve superior traits.

An analysis of 500 S&P 500 companies revealed that traditional sector labels only partially explain firms’ financial structures. Machine-learning models predicted sectors from accounting ratios, achieving a maximum validation accuracy of 49.3%. However, an unsupervised analysis identified nine financially interpretable groups that crossed sector boundaries. This suggests that, when comparing profitability, leverage, liquidity, and cash-generation patterns, accounting-based peer groups can complement sectors.

–Professor Sungwon Lee’s team at DGIST develops “nano-on-nano” technology that overcomes the sweating and discomfort associated with conventional sensors –Expected to be applied to next-generation wearable devices suitable for extended wear, from industrial settings to everyday life –Published in the internationally renowned journal Advanced Fiber Materials

Savannah River National Laboratory and 3D Systems have entered into a cooperative research and development agreement, or CRADA, to accelerate innovation in additive manufacturing for advanced energy generation and national security applications. The partnership centers on SRNL’s Advanced Manufacturing Collaborative, leveraging the facility’s unique position as South Carolina’s only national laboratory-operated site located on a public university campus.

Through this CRADA, SRNL and 3D Systems will jointly pursue advancements in materials development, equipment enhancements, artificial intelligence/machine learning – enabled process optimization, manufacturing systems, cybersecurity and workforce development training.