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Article
Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval
Cross-modal hashing has attracted much attention due to low storage cost and high retrieval efficiency. Compared with the supervised counterparts, the unsupervised cross-modal hashing methods suffer from sever...
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Article
Chimeric nanobody-decorated liposomes by self-assembly
Liposomes as drug vehicles have advantages, such as payload protection, tunable carrying capacity and improved biodistribution. However, due to the dysfunction of targeting moieties and payload loss during pre...
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Chapter and Conference Paper
Spaceborne Aerosol and Carbon Dioxide Detection Lidar (ACDL) Status and Progress
Spaceborne lidar is an important instrument to measure the global atmospheric CO2 column concentrations and aerosol profiles with high accuracy. Atmospheric environment monitoring satellite (AEMS, also named as D...
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Chapter and Conference Paper
Research on the Transient Temperature Field of the High-Speed Permanent-Magnet Motor for Dragging Pulsed Alternator
For dragging the pulsed alternator, the high-speed permanent-magnet synchronous motor (HSPMSM) is required with a high-power density. Considering the specific working condition that the speed and load both cha...
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Article
Giant magnetocaloric effect in spin supersolid candidate Na2BaCo(PO4)2
Supersolid, an exotic quantum state of matter that consists of particles forming an incompressible solid structure while simultaneously showing superfluidity of zero viscosity1, is one of the long-standing pursui...
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Chapter
Classical Electric Machines for Electric and Hybrid Vehicles
Classical electric machines, including DC machines, induction or asynchronous machines, and synchronous machines, play a key role in modern electric vehicle (EV) propulsion. Because of the maturity and simplic...
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Article
Fluctuation-enhanced phonon magnetic moments in a polar antiferromagnet
Phonons are the quasiparticles of collective lattice excitations that may carry finite angular momenta, but commonly exhibit negligible magnetic moments. A large phonon magnetic moment enables the direct mutua...
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Article
Learning on heterogeneous graph neural networks with consistency-based augmentation
Heterogeneous Graph Neural Networks(HGNNs), as an effective tool for mining heterogeneous graphs, have achieved remarkable performance on series of real-world applications. Yet, HGNNs are limited in their mini...
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Article
Long-tailed graph neural networks via graph structure learning for node classification
Long-tailed methods have gained increasing attention and achieved excellent performance due to the long-tailed distribution in graphs, i.e., many small-degree tail nodes have limited structural connectivity. H...
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Article
Open AccessGPRC5D as a promising therapeutic target in EGFR-wild and immuno-cold non-small cell lung cancer
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Article
Localized shapelets selection for interpretable time series classification
Shapelet-based methods have attracted increasing attention in time series research due to their good classification performance. Most existing approaches distinguish time series from different classes by evalu...
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Article
Open AccessBioinspired engineering of fusogen and targeting moiety equipped nanovesicles
Cell-derived small extracellular vesicles have been exploited as potent drug vehicles. However, significant challenges hamper their clinical translation, including inefficient cytosolic delivery, poor target-s...
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Article
A two-phase filtering of discriminative shapelets learning for time series classification
Compared to the full-length methods for time series classification, shapelet-based methods acquire better interpretation, higher efficiency and precision since shapelets are discriminative features that well r...
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Chapter and Conference Paper
Building Community Service Ecosystem Models
The digital age has led to new resource sharing mechanisms, which require a corresponding adjustment in community governance. Constructing community service ecosystem is not only the adjustment of community go...
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Article
Open AccessIdentification of adenoid subtype characterized with immune-escaped phenotype in lung squamous carcinoma based on transcriptomics
Non-small cell lung cancer (NSCLC) is a heterogeneous disease, and its demarcation contributes to various therapeutic outcomes. However, a small subset of tumors shows different molecular features that are in ...
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Article
Extruded small extracellular vesicles: splinters of circulating tumour cells may promote cancer metastasis?
We speculate ruptured circulating tumour cells (CTC) in capillaries could release a large number of small extracellular vesicle-like vesicles, namely mechanically extruded sEV (sEVme), which can encapsulate chrom...
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Article
Open AccessSpin supersolidity in nearly ideal easy-axis triangular quantum antiferromagnet Na2BaCo(PO4)2
Prototypical models and their material incarnations are cornerstones to the understanding of quantum magnetism. Here we show theoretically that the recently synthesized magnetic compound Na2BaCo(PO4)2 (NBCP) is a...
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Article
Open AccessHLA class II molecule HLA-DRA identifies immuno-hot tumors and predicts the therapeutic response to anti-PD-1 immunotherapy in NSCLC
Immune checkpoint blockade (ICB) only works well for a certain subset of patients with non-small cell lung cancer (NSCLC). Therefore, biomarkers for patient stratification are desired, which can suggest the mo...
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Article
Learning-based shapelets discovery by feature selection for time series classification
Shapelet-based methods have attracted widespread attention over the past decade in the time series classification for their benefits of high classification accuracy and good interpretability. The primary chall...
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Article
Controllable random lasers based on two-dimensional random gain systems with nematic liquid crystals
Controllable random lasers based on two-dimensional (2D) random gain systems with nematic liquid crystals are investigated by using the finite-difference time-domain (FDTD) methods. The dependence of random la...
