A recent review explores the groundbreaking impact of 3D printing on microbial electrochemical systems (MES), offering innovative solutions for wastewater treatment, energy generation, and chemical synthesis. This cutting-edge technology is enhancing the efficiency of MES by enabling precise reactor component design and fabrication, optimizing fluid dynamics, and improving electron transfer. The integration of 3D printing not only accelerates the development of sustainable environmental applications but also opens new pathways for boosting the performance and functionality of MES, leading to more effective and eco-friendly processes.

A research team led by Bing Qin introduces a novel method for Knowledge Graph Completion using higher-order neighbor subgraphs to address sparsity issues, demonstrating its effectiveness in a study published in Frontiers of Computer Science.

A new study in Engineering explores the role of astrocytic G protein-coupled receptors in drug addiction. It shows that these receptors, including mGLUR5 and D1R, play important parts in the process. The findings could help us better understand substance-use disorders and may lead to new treatment methods.

In a new study published in Engineering, researchers from Tongji University and Harbin Institute of Technology (Shenzhen) explore the application of digital twin (DT) technology in road engineering. The study reviews relevant enabling technologies and their applications throughout the road engineering lifecycle. Although DT shows promise, it faces challenges like a lack of unified standards and technological limitations. The research offers insights for future development in this area, aiming to enhance the efficiency, safety, and sustainability of road engineering.

Trees compete for space as they grow. A tree with branches close to a wall will develop differently from one growing on open ground.

Now everyone from urban planners and environmental scientists to homeowners may access a new algorithm for tree reconstruction developed at Purdue University to see how the trees will shade an area or learn what a tree will look like in 20 years. Purdue computer scientists and digital foresters used artificial intelligence to generate this first-ever database, which contains three-dimensional models of more than 600,000 real trees.

A recent study in Engineering delves into how next-generation artificial intelligence and big data are being applied in crop breeding. It explores the journey of crop breeding from traditional methods to intelligent design, examines China’s current position in the global seed industry, and offers suggestions for future development, aiming to enhance breeding efficiency and contribute to global food security.