341 research outputs found

    S1 Dataset -

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    mTL-Bi-LSTM-MA-CRF model.

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    Weights of the embedding, the Bi-LSTM, the multi-attention, and the CRF are pre-trained and shared with transfer learning. A weight of the adaptation layer is individually trained and a weight of the CRF is fine-tuned.</p

    The losses of the training process before and after the optimization of loss function.

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    A blue and an orange dot lines represent losses of training and validation set before optimization, whereas a yellow and a light blue lines represent losses of training and validation set after optimization. A gray line is the line when loss = 0.05.</p

    Examples of CWS of methods.

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    Examples of CWS of methods.</p

    The F1 scores for different number of heads for multi-attention.

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    The F1 scores for different number of heads for multi-attention.</p

    Accuracy of long words of methods.

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    Accuracy of long words of methods.</p

    The F1 scores for different word embedding dimensions.

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    A black dotted line and a blue dotted line represent the F1 score of the proposed model and the Bi-LSTM-MA-CRF model, respectively. The vertical axis of the black line is on the left, whereas the vertical axis of the blue line is on the right.</p

    Performances of methods.

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    Performances of methods.</p

    Facile and Rapid Fabrication of (trifluoropropyl) Silsesquioxanes/Ethyl Cyanoacrylate-Based Hybrid Superhydrophobic Coatings for Oil–Water Separation and Metal Anticorrosion

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    In this paper, fluorosilsesquioxanes (F-SQs) were first synthesized by hydrolysis condensation of (3,3,3-trifluoropropyl) trimethoxysilane. Then, F-SQs were blended with ethyl cyanoacrylate (ECA) to prepare a hybrid matrix material that was coated on the surface of sponge or copper foil to rapidly form hydrophobic coatings by anionic polymerization of ECA, which were environmentally friendly, efficient, and low cost. The resulting low surface energy materials could be used for oil–water separation and metal corrosion protection. The structure composition and properties characterization of the surface of coated polyurethane (PU) sponges and copper foils were analyzed by Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray photoelectron spectroscopy, water contact angle, and electrochemical tests. Coated PU sponges with excellent mechanical and chemical stability exhibit superhydrophobic properties and can efficiently separate oil and water mixtures with an efficiency over 99%. Compared with bare copper foil, the coated copper foil exhibited lower corrosion current (Icorr) and higher impedance modulus (|Z|0.01 Hz) after immersing in a 3.5 wt % NaCl solution for 24 h, offering excellent anticorrosion properties. Moreover, when the exposure time of the coating in salt solution was extended to 21 days, the |Z|0.01 Hz of the coating remained approximately 10 times higher than that of the Cu matrix, demonstrating exceptional long-term corrosion resistance. This simple and environmentally friendly route to fabricate hydrophobic materials makes it possible for large-scale oil–water separation and metal corrosion protection

    Probing the Protein Corona of Nanoparticles in a Fluid Flow by Single-Particle Differenced Resonance Light Scattering Correlation Spectroscopy

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    The protein corona of nanoparticles (NPs) plays a crucial role in determining NPs’ biological fates. Here, a novel measurement strategy was proposed to in situ investigate the protein corona formed in the NPs with the home-built dual-wavelength laser-irradiated differenced resonance light scattering correlation spectroscopy (D-RLSCS) technique, combined with the modified generation method of the D-RLSCS curve. With the measurement strategy, the dissociation constants and the binding rates between proteins and gold nanoparticles (GNPs) were determined based on the binding-induced ratiometric diffusion change of NPs (the ratio of characteristic rotational diffusion time to translational one), using the formation of the protein corona of bovine serum albumin (BSA) or fibrinogen (FIB) on gold nanoparticles as a model. It was found that BSA shows a stronger binding constant and faster binding rate to gold nanospheres (GNSs) compared with those of FIB. Meanwhile, the dynamic behavior of the protein corona in a fluid flow mimicking biological vessels was further studied based on the combination of the D-RLSCS technique with a microfluidic channel. The measurement results indicated that some “loose” protein corona layers would strip off the surface of NPs within the microchannel due to the fluid sheath force. This method can provide the comprehensive information of a protein corona by averaging the diffusion behavior of many particles different from some conventional methods and overcome the shortcomings of conventional correlation spectroscopy methods
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