Editorials

In the field of corrugated board production and packaging optimization, the advent of Artificial Intelligence (AI) has initiated a paradigm shift. This paper presents a brief analysis of AI’s role in revolutionizing both the production of corrugated board and the design of corrugated packaging. It explores the integration of AI in the homogenization process of complex corrugated board structures into single-layer, shallow shell-based computational models, aiming to improve and accelerate load-bearing calculations. This work presents also how AI’s predictive and analytical capabilities are pivotal in achieving efficiency, sustainability, and cost-effectiveness in the corrugated board industry.

Picking up a discarded can or bottle and placing it in a recycling bin may seem like a very small step to take in the direction of making a better world. The scope of benefits that might accrue, by combining many such steps, and making careful plans, was highlighted in a recent Waste to Advanced Resources Matter (WARM) workshop hosted at this university. As shown during the discussions at the workshop, those who are deeply involved with issues of waste management, climate change issues, and care for our planet already know the “broad brush” answers regarding what needs to be done. Now is the time for action in implementing efficient and widespread recovery of valuable materials and energy from what we presently throw away.

Engineered biomaterials play a crucial role in the construction industry. The study and development of engineered biomaterials with high-strength are necessary to fulfill the construction requirements for medium and high-rise buildings and long-span bridges. Further promoting the localization of high-strength engineered biomaterials is crucial in terms of reducing CO₂ emissions, effectively utilizing land resources, and taking into account the unique structure of forest resources in China. The goal of this modification is to satisfy the rising demand for eco-friendly living spaces.

This editorial considers Open Science, what it is, what are its potential benefits, what are the pillars of engagement upon which it rests, and what are some of the main challenges facing its further adoption by research communities. At its core, Open Science involves sharing not only the contents of a traditional research article, but also of any source data and methodologies upon which the reported findings are based. Though some extra work may be required, usually without anyone providing additional resources to do that work, continuous developments in digital technology are making Open Science easier to implement. While not all data is suitable to be shared, Open Science practices are widely supported within the wider research community and funding organizations.