Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang
Quanxing Yao, Xiaojian Zhu, Runsheng Gao, Qian Jiang, Cui Sun, Du Y, et al.
Intelligent perception with closed-loop information acquisition, processing, and feedback is critical for humanoid robots and embodied intelligence systems. Ionochromic transistors hold great potential for on-site signal processing and visual feedback. Here, we report a bioinspir…
B Zhang, Bo Wang, Huajiang Ouyang, Zhigang Wu, Haohao Bi, Jiawei Xu, et al.
Origami-inspired architectures offer a powerful route toward lightweight, reconfigurable, and programmable robotic systems. Yet, a unified mechanics framework capable of seamlessly bridging rigid folding, elastic deformation, and stability-driven transitions in compliant origami…
C L Li, Wei Zhang, Xi Zhu, Yuehua Chen, Nir A. Sochen, Jarrett Rushmore, et al.
Cortical surface reconstruction of white matter and pial surfaces from diffusion MRI (dMRI) is critical for neuroimaging analyses, including tractography, connectomics, and multimodal data integration. However, obtaining these surfaces from dMRI data is inherently challenged by i…
Yu Zong, Yuxin Wang, Liang Qiao
Protein glycosylation, a post-translational modification involving the attachment of glycans to proteins, plays critical roles in numerous physiological and pathological cellular functions. Characterization of protein glycosylation is one of the most challenging problems due to t…
Xiaoyan Tang, Zhe Li, Yuning Lu, Ma My, Zijian Mo, Jiajun Ke, et al.
Amplification-free Cas12a diagnostics with split crRNA enable rapid and programmable target recognition, yet insufficient understanding of DNA activator architecture prevents predictable control over trans-cleavage activity and sensitivity. Here we systematically map over 200 spl…
Aparna Chitra Sudheer, Gopinathan M. Anilkumar, Hidenori Kuroki, Yuuki Sugawara, Takeo Yamaguchi
ABSTRACT Engineering the surface structure of catalysts is critical for achieving high intrinsic activity in the oxygen reduction reaction (ORR). We report a machine‐learning (ML)‐guided materials design strategy for the synthesis of support‐free, connected nanoparticle catalysts…