Publications by authors named "Junpeng Cheng"

Recently, a novel and fascinating actuation mode of liquid crystal elastomers (LCEs), known as geometric zero-elastic-energy modes (ZEEMs), has drawn intensive research interest. Based on this actuation mechanism, LCE actuators exhibit untethered, autonomous movements under external stimulations, demonstrating significant potential for applications in intelligent soft robots, autonomous energy conversion systems, and smart optical tuning components. This perspective provides a timely summary of the current research on LCE actuators based on ZEEMs and highlights their future development trends and prospects, which will be of great interest to broad communities of researchers in fields of LCEs, biomimetic smart materials, soft robotics, and actuators.

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In nature, biological systems can sense environmental changes and alter their performance parameters in real time to adapt to environmental changes. Inspired by these, scientists have developed a range of novel shape-morphing materials. Shape-morphing materials are a kind of "intelligent" materials that exhibit responses to external stimuli in a predetermined way and then display a preset function.

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Article Synopsis
  • Non-small cell lung cancer (NSCLC) features significant genetic variations, making it crucial to identify key genes and pathways for better diagnosis and treatment outcomes.
  • The study analyzed over 93,000 cells from 22 NSCLC patients using advanced techniques to classify cancer cells and understand gene expression changes throughout the development of the disease.
  • Key findings included three functional modules of NSCLC cells, highlighting the importance of metabolism, cell cycle, and stemness in cancer progression, and establishing a risk score model based on specific genes that can aid in cancer risk assessment and personalized treatment.
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Purpose: Considering that false-positive and true pulmonary nodules are highly similar in shapes and sizes between lung computed tomography scans, we develop and evaluate a false-positive nodules reduction method applied to the computer-aided diagnosis system.

Methods: To improve the pulmonary nodule diagnosis quality, a 3D convolutional neural networks (CNN) model is constructed to effectively extract spatial information of candidate nodule features through the hierarchical architecture. Furthermore, three paths corresponding to three receptive field sizes are adopted and concatenated in the network model, so that the feature information is fully extracted and fused to actively adapting to the changes in shapes, sizes, and contextual information between pulmonary nodules.

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Transferring parental splenocytes into unirradiated F1 mice induces a chronic graft-versus-host disease (GVHD), characterized by the production of Th2 cytokines and immunocomplex-mediated glomerulonephritis resembling systemic lupus erythematosus (SLE). The effects of H1521, a new derivative of 4-hydroxyquinoline-3-carboxamide, were investigated in chronic GVHD lupus model. H1521 was administered to chronic GVHD mice for 10 weeks.

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