A latest research published in Engineering reveals an innovative plant factory based speed breeding system for rice. This system significantly shortens the rice generation time and enhances metabolic diversity, offering new hope for addressing the challenges of global food security amidst a growing population and changing climate.

As the demand for high-speed wireless communication grows, millimeter-wave frequencies, such as the 27 GHz band, have become increasingly important for 5G and beyond. However, operating at these frequencies poses technical challenges, such as high propagation losses and atmospheric interference. Now, researchers from China have developed an innovative 2-bit phased array antenna that effectively addresses these issues. Its compact, cost-effective design offers a promising and experimentally verified solution for the future of wireless communications.

A new review published in the Journal of Bioresources and Bioproducts highlights the latest advancements in using biomass-based macroporous scaffolds for wound healing. The study, led by Daqian Gao from Yale University, explores sustainable alternatives to traditional polymers, focusing on the potential of biomass materials derived from renewable sources. These materials, which include cellulose, lignin, and starch, offer biodegradability and environmental friendliness while supporting tissue regeneration.

Researchers at Washington State University have developed a novel kinetic model called the Anaerobic Digestion Bacteria Algae (ADBA) model, which predicts the growth of algae and bacteria in anaerobic digestion effluent. This model offers insights into optimizing wastewater treatment and biofuel production.

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By employing neuromorphic devices to emulate neuronal functions and construct neural networks, it effectively overcomes the von-Neumann bottleneck, demonstrating remarkable energy efficiency. Due to their unique electrical properties, compact structures, and extremely low power consumption, memristive devices have become a core focus in neuromorphic computing based on memristive devices have become a core focus in neuromorphic device research. This review highlights recent advances in neuromorphic computing based on memristive devices, covering the working principles, key functions, and performance metrics of memristive devices, the structure and typical applications of memristive arrays, and the architectures and performance of neuromorphic chips. It also analyzes the intrinsic links among memristive devices, memristive arrays, and neuromorphic chips. 

As virtual care increasingly continues to play a crucial role in health care, a new study by University of Calgary researchers explores how educators are teaching vital virtual care skills to the next generation of nurses, doctors, and social workers.

Efficiently designed architecture makes it possible to manufacture passive strain sensors that are wireless, very sensitive, and extremely thin.