Scientists report the first direct real-time measurement and control of quantum uncertainty dynamics using ultrafast squeezed light pulses. This attosecond-resolved breakthrough not only advances fundamental quantum physics but also demonstrates petahertz-scale secure communication protocols, paving the way for next-generation quantum technologies in secure communication, quantum computing, and ultrafast spectroscopy.

Regression analysis is essential in biomedical research for exploring relationships between phenotypic or clinical outcomes and diverse predictors. However, constructing multiple univariate and multivariate models is often hindered by the lack of robust tools for batch regression in R, forcing researchers to rely on custom scripts. To address this gap, we developed bregr, an open-source R package built in the tidyverse style, leveraging the object-oriented programming strategy for enhanced extensibility. bregr streamlines batch processing of diverse regression models, including generalized linear, Cox proportional hazards, and mixed-effects, using native R pipes. It provides tidy outputs, integrated visualization, parallel computing capabilities, and a cohesive workflow, enabling efficient execution of hundreds of models with structured results for downstream analysis. Available on CRAN, bregr enhances efficiency, reproducibility, and scalability in biomedical research and beyond.

Scientists have decoded the molecular pathway behind the striking yellow petals of Camellia nitidissima and applied these insights to boost the nutritional profile of tomatoes. 

Researchers from Shandong University and South China University of Technology have developed E2E, an effective and comprehensive R package to simplify the construction of ensemble models for diagnosis and prognosis. The package integrates bagging, stacking, and voting strategies, offering flexible model selection and improved handling of imbalanced data. Validated on TCGA and CHARLS datasets, E2E demonstrates strong performance in both diagnosis and prognosis tasks.

Banana production worldwide is threatened by narrow genetic diversity, pests, diseases, and climate pressures.

Grapevines worldwide face heavy losses from fungal diseases, with white rot posing one of the greatest threats. 

The world’s growing livestock industry produces millions of tons of animal manure every year, creating both environmental and public health challenges. A new study shows that this abundant waste material could be transformed into a valuable solution for one of today’s most pressing problems—wastewater pollution.

Prof. Shigui Chen's team at the Institute of Advanced Studies at Wuhan University recently achieved, through a step-by-step construction strategy, the stabilization of the [N⋯Cl⋯N]⁺ halogen bond at the framework level, thus breaking through the bottleneck of the inability of chlorine (I) halogen bonds to form bonds under conventional conditions and successfully constructed a class of stable chlorine (I) bridged two-dimensional halogen bond organic frameworks (XOF(Cl)-TPy-BF₄/OTf). This framework not only has excellent crystallinity, chemical stability and thermal stability, but also provides an ideal platform for subsequent functionalization (such as the introduction of catalytic sites). As a cationic framework, XOF(Cl) is anion-exchanged with PdCl₄²⁻ and then reduced to generate stable Pd(0) clusters within the framework. The Pd(0) cluster-loaded XOF(Cl)-TPy-Pd⁰ exhibits excellent catalytic performance in various palladium-catalyzed coupling reactions (such as Suzuki, Heck, and Sonogashira couplings), achieving high yields even under mild conditions. In the synthesis of industrial biphenyl liquid crystal molecules, no palladium residue was detected in XOF(Cl)-TPy-Pd^0. In addition, the catalyst can be efficiently recovered by simple filtration and can be recycled many times, showing excellent practicality. These results were published as an open access article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.

Researchers have developed a machine learning approach that can optimize the treatment of livestock manure and predict how valuable nutrients such as phosphorus are distributed during processing. The breakthrough could help transform agricultural waste into safer and more useful resources, while reducing environmental pollution.

In Malaysia, one of the world’s top producers of palm oil, millions of tons of oil palm ash (OPA) are left behind as agricultural waste every year—a disposal challenge that could soon become a climate solution. Now, groundbreaking research from Universiti Sains Malaysia (USM) shows that this humble byproduct can be transformed into a powerful, eco-friendly material capable of capturing carbon dioxide from the air. Published on August 18, 2025, in Carbon Research as an open-access original article, this innovative study was led by Dr. Azam Taufik Mohd Din from the School of Chemical Engineering at Universiti Sains Malaysia’s Engineering Campus in Nibong Tebal, Penang. The team didn’t just repurpose waste—they engineered it. By treating raw oil palm ash with acid, then subjecting it to carbonization and chemical activation using potassium hydroxide (KOH), they created a new material dubbed OPA-KOH(1:2). The result? A tailor-made adsorbent with a highly optimized mesoporous structure—pores so precisely shaped that they allow CO₂ molecules to flow in easily and stick effectively. Despite having a modest surface area of 30.95 m²/g—far lower than many commercial activated carbons—the material achieved an impressive CO₂ adsorption capacity of 2.9 mmol/g. That performance rivals or even exceeds more expensive materials with much higher surface areas, proving that pore architecture matters more than size alone. “This isn’t just recycling—it’s upcycling at the molecular level,” says Dr. Mohd Din. “We’re taking a waste product that often ends up in landfills and turning it into a high-performance tool for carbon capture.”