Biological tissues like skin, arteries, and cartilage have a non-linear strain-stiffening relationship. Some biomimetic hydrogel scaffolds have been successful in effectively replicating this behavior. However, achieving structural complexity in such strain-stiffening hydrogels has been difficult. A recent Research study has demonstrated an innovative and efficient technique, immersion phase separation 3D printing, to fabricate structurally complex tissues with strain-stiffening properties. These hydrogel scaffolds can pave the way for biomimetic, patient-specific implants in the future.

Current robotic grippers employ soft and flexible materials to mimic human like grasping behavior. However, they require continuous energy input to maintain their grasp, limiting practical applications. In a new study, researchers develop an innovative bio-inspired bistable robotic gripper, that maintains its grasp with no energy input. It can also adjust the force required for switching between open and closed states, making it suitable for diverse tasks.

Multimodal sentiment analysis is an information processing technique that attempts to predict human emotional states from multiple modalities like text, audio, and video. Due to challenges in aligning multiple modalities, existing methods are limited to analysis at course or fine granularity, which risks missing nuances in human emotional expression. Researchers have now developed an innovative approach to MSA that reduces computational time required to sentiment prediction while offering improved performance.

This study is the first to confirm, in a large-scale prospective cohort, that fish oil supplementation can reduce the risk of developing type 2 diabetes (T2D) in individuals with prediabetes. It systematically reveals that DHA and EPA improve glucose homeostasis in prediabetic individuals by enhancing aerobic glucose metabolism, glycogen synthesis, and GLUT4 vesicle translocation in skeletal muscle, thereby lowering the risk of T2D onset.