110 research outputs found

    Repair of fingertip defect with reverse digital artery island flap and repair of donor site with digital dorsal advancement flap

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    ObjectiveThe reverse digital artery island flap (RDAF) is widely used in repairing fingertip skin defects based on its good appearance and practicability. However, the donor area of the flap needs skin grafting, which can lead to complications. This retrospective study explored the clinical application of digital dorsal advance flap (DDAF) in repairing the donor site of the reverse digital artery island flap.MethodFrom June 2019 to February 2022, 17 patients with a soft tissue defect of the finger had been restored with the reverse digital artery island flap, and at the same time, the donor area was repaired with digital dorsal advance flap (DDAF). The sensitivity, the active range of motion (ROM) and patient satisfaction were assessed after the operation.ResultsAll flaps survived completely without skin grafting with only one linear scar. The sensory and motor functions of all patients recovered well. Assessment based on the Michigan Hand Outcomes Questionnaire (MHQ) showed satisfactory functional recovery for all patients.ConclusionsReconstruction using RDAF combined with DDAF represents an effective alternative for repairing fingertip skin defects

    Variation of Tensor Force due to Nuclear Medium Effect

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    The enhancement of JÏ€(T)J^{\pi}(T)=3+^{+}(0) state with isospin T=0T=0 excited by the tensor force in the free 6^{6}Li nucleus has been observed, for the first time, relative to a shrinkable excitation in the 6^{6}Li cluster component inside its host nucleus. Comparatively, the excitation of JÏ€(T)J^{\pi}(T)=0+^{+}(1) state with isospin T=1T=1 for these two 6^{6}Li formations take on an approximately equal excitation strength. The mechanism of such tensor force effect was proposed due to the intensive nuclear medium role on isospin TT=0 state.Comment: 6 pages, 4 figure

    Aspect of Clusters Correlation at Light Nuclei Excited State

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    The correlation of αα\alpha\alpha was probed via measuring the transverse momentum pTp_{T} and width δpT\delta p_{T} of one α\alpha, for the first time, which represents the spatial and dynamical essentialities of the initial coupling state in 8^{8}Be nucleus. The weighted interaction vertex of 3α\alpha reflected by the magnitudes of their relative momentums and relative emission angles proves the isosceles triangle configuration for 3α\alpha at the high excited energy analogous Hoyle states.Comment: 8 pages, 9 figure

    Multi-alpha Boson Gas state in Fusion Evaporation Reaction and Three-body Force

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    The experimental evidence for the α\alpha Boson gas state in the 11^{11}C+12^{12}C→\rightarrow23^{23}Mg∗^{\ast} fusion evaporation reaction is presented. By measuring the α\alpha emission spectrum with multiplicity 2 and 3, we provide insight into the existence of a three-body force among α\alpha particles. The observed spectrum exhibited distinct tails corresponding to α\alpha particles emitted in pairs and triplets consistent well with the model-calculations of AV18-UX and chiral effective field theory of NV2-3-la*, indicating the formation of α\alpha clusters with three-body force in the Boson gas state.Comment: 7 pages, 6 figure

    Nano Co3O4/NiO Catalysts Pyrolysis of Cotinus nana Bark for Bio-oil and Biochemicals Raw Material

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    Cotinus nana W. W. Smith is a valued landscape shrub and a good afforestation species that is also widely used in the pharmaceutical industry. In this study, the use of Cotinus nana’s bark (CNB) as biofuel and a biochemical under the catalysis of nano-Co3O4/NiO was explored by various thermogravimetric methods and Fourier transform infrared (FTIR) analysis. The bark powder was extracted using a methanol/benzene solution, and then analyzed by FTIR and gas chromatography-mass spectrometry (GC-MS). The results showed that the pyrolysis products of CNB are rich in phenols, alcohols, and biofuels. The Co3O4 and NiO act as nanometal catalysts in the release of pyrolysis gases, accelerating the precipitation of gaseous products. Among them, NiO has the most obvious catalytic effect in the pyrolysis process of the material components. At the same time, in the temperature range of 40 to 850 °C, as the pyrolysis rate of the sample increases, the pyrolysis process becomes more intense. In contrast, the contents of the extracts N,N-diethyl-formamide, butyric acid, and oleic acid are not only widely used in industry, but also play a pivotal role in medicine. Therefore, the bark of Cotinus nana is an excellent plant material for biofuels and biochemicals

    Residual Recurrent Neural Networks for Learning Sequential Representations

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    Recurrent neural networks (RNN) are efficient in modeling sequences for generation and classification, but their training is obstructed by the vanishing and exploding gradient issues. In this paper, we reformulate the RNN unit to learn the residual functions with reference to the hidden state instead of conventional gated mechanisms such as long short-term memory (LSTM) and the gated recurrent unit (GRU). The residual structure has two main highlights: firstly, it solves the gradient vanishing and exploding issues for large time-distributed scales; secondly, the residual structure promotes the optimizations for backward updates. In the experiments, we apply language modeling, emotion classification and polyphonic modeling to evaluate our layer compared with LSTM and GRU layers. The results show that our layer gives state-of-the-art performance, outperforms LSTM and GRU layers in terms of speed, and supports an accuracy competitive with that of the other methods
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