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In 3D (bio)printing, it is critical to optimize the printing conditions to obtain scaffolds with designed structures and good uniformities. Traditional approaches for optimizing the parameters oftentimes rely on the prior knowledge of the operators and tedious optimization experiments, which can be both time‐consuming and labor‐intensive. Moreover, with the rapid increase in the types of biomaterial inks and the geometrical complexities of the scaffolds to be fabricated, such a traditional strategy may prove less effective. To address the challenge, an artificial intelligence‐assisted high‐throughput printing‐condition‐screening system (AI‐HTPCSS) is proposed, which is composed of a programmable pneumatic extrusion (bio)printer and an AI‐assisted image‐analysis algorithm. Based on the AI‐HTPCSS, the printing conditions for obtaining uniformly structured hydrogel architectures are screened in a high‐throughput manner. The results show that the scaffolds printed under the optimized conditions demonstrate satisfying mechanical properties, in vitro biological performances, and efficacy in accelerating the diabetic wound healing in vivo. The unique AI‐HTPCSS is expected to offer an enabling platform technology on streamlining the manufacturing of tissue‐engineering scaffolds through 3D (bio)printing techniques in the future. [ABSTRACT FROM AUTHOR]

In order to explore the interaction between the axial-flow threshing unit and the agricultural materials, the vibration signal of the axial-flow threshing unit and the stress signal of the internal threshing tooth under the dynamic threshing condition were detected by using the three-way acceleration sensors and the resistance strain gauges. The results show that under the dynamic threshing condition, the amplitude of the vibration signal along the axial direction of the threshing unit experienced a small change, but changed greatly at the feeding direction of materials and vertical direction of fixed bearings, which was mainly caused by the internal impact between the threshing unit and the materials; Under the impact of materials, the threshing element of each measuring point has a continuous peak value of stress signal, and the stress signals gradually decreased along the axial direction. This study further reveals the interaction mechanism between axial-flow threshing unit and materials from the perspective of vibration and impact, and provides new methods for the development of condition detection technology of grain harvesting equipment. [ABSTRACT FROM AUTHOR]