Improving Cross-Domain Chinese Word Segmentation with Word Embeddings

Cross-domain Chinese Word Segmentation (CWS) remains a challenge despite recent progress in neural-based CWS. The limited amount of annotated data in the target domain has been the key obstacle to a satisfactory performance. In this paper, we propose a semi-supervised word-based approach to improving cross-domain CWS given a baseline segmenter. Particularly, our model only deploys word embeddings trained on raw text in the target domain, discarding complex hand-crafted features and domain-specific dictionaries. Innovative subsampling and negative sampling methods are proposed to derive word embeddings optimized for CWS. We conduct experiments on five datasets in special domains, covering domains in novels, medicine, and patent. Results show that our model can obviously improve cross-domain CWS, especially in the segmentation of domain-specific noun entities. The word F-measure increases by over 3.0% on four datasets, outperforming state-of-the-art semi-supervised and unsupervised cross-domain CWS approaches with a large margin. We make our code and data available on Github

GRB 120729A: External Shock Origin for Both the Prompt Gamma-Ray Emission and Afterglow

Gamma-ray burst (GRB) 120729A was detected by Swift/BAT and Fermi/GBM, and then rapidly observed by Swift/XRT, Swift/UVOT, and ground-based telescopes. It had a single long and smooth \gamma-ray emission pulse, which extends continuously to the X-rays. We report Lick/KAIT observations of the source, and make temporal and spectral joint fits of the multiwavelength light curves of GRB 120729A. It exhibits achromatic light-curve behavior, consistent with the predictions of the external shock model. The light curves are decomposed into four typical phases: onset bump (Phase I), normal decay (Phase II), shallow decay (Phase III), and post-jet break (Phase IV). The spectral energy distribution (SED) evolves from prompt \gamma-ray emission to the afterglow with photon index from Γγ=1.36 to Γ≈1.75. There is no obvious evolution of the SED during the afterglow. ...(Please see article full tet for complete abstract.

A brief analysis of the positioning accuracy for the TH-2 satellite system

The TH-2 satellite system is China's first microwave surveying satellite system based on distributed interferometric technology. In this paper, the positioning accuracy of the satellite system is studied. According to the InSAR mechanism model, the error sources that affect the positioning accuracy are analyzed, and the InSAR data processing flow is designed. The satellite positioning accuracies in plain and mountain area are tested and verified by using the baseline measurement accuracy and ground processing accuracy of ground design and on-orbit test. The tests show that the plane and elevation accuracy of the satellite system after processing the measured data on orbit is better than that of the original simulation analysis at the baseline length of 700~1050 m in formation configuration, it can satisfy the surveying and mapping precision of 1∶50 000 scale topographic map in plain and mountain area for China

A fast and robust face location and feature extraction system

Automatic face location and feature detection in front view images has a wide range of usage. To fulfill a both fast and robust algorithm is still a challenge. In this paper, we have proposed such a solution. In order to detect faces fast and accurate i

Fracture Healing in Elderly Mice and the Effect of an Additional Severe Blood Loss: A Radiographic and Biomechanical Murine Study

Femoral fractures and severe bleeding frequently occur in old patients showing a delayed healing. As there are no studies investigating the combined effect of high age and severe blood loss on fracture healing, this was examined radiographically and biomechanically in this study. Therefore, young and old male mice were randomly assigned to three operation groups. In the fracture group (Fx), external fixator and osteotomy were applied to the femur. The combined trauma group (THFx) additionally received a pressure-controlled hemorrhage. Sham animals were only implanted with arterial catheter and external fixator. Sacrifice was performed after three weeks and bone healing was evaluated radiologically via µCT, as well as biomechanically using a three-point bending test. A decreased share of callus/total bone volume was observed in old mice with blood loss compared to old Fx. Hemorrhagic shock also reduced the trabecular number in old mice compared to Fx and young THFx. Moreover, a lower elastic limit in old Sham mice without fracture was revealed. Fracture combined with a high loss of blood further reduced the elastic limit in old mice compared to isolated Fx in old animals. In conclusion, this study showed that severe blood loss has a higher negative effect in old mice compared to young ones

Tungsten-Catalyzed Direct N-Alkylation of Amines with Alcohols

The implementation of earth-abundant metals mediated chemistry is a major goal in homogeneous catalysis. Borrowing hydrogen/hydrogen autotransfer (BH/HA) reaction, as a straightforward and sustainable synthetic method, has attracted considerable attention in the development of earth-abuandant metal catalysts. Herein, we report a tungsten-catalyzed N-alkylation reaction of amines with primary alcohols via BH/HA. This phosphine-free W(phen)(CO)4 (phen=1,10-phenthroline) system was demonstrated as a practical and easily accessible in-situ catalysis for a broad range of amines and alcohols (up to 49 examples, including 16 previously undisclosed products). Notably, this tungsten system can tolerate numerous functional groups, especially the challenging substrates with sterically hindered substituents, or heteroatoms. Mechanistic insights based on experimental and computational studies are also provided

A novel monoclonal antibody efficiently blocks the infection of serotype 4 fowl adenovirus by targeting fiber-2

Abstract A recent outbreak of hepatitis–hydropericardium syndrome caused by serotype 4 fowl adenovirus (FAdV-4) has resulted in significant economic losses to the poultry industry worldwide. However, little is known about the molecular pathogenesis of FAdV-4. In this study, a novel monoclonal antibody (mAb) targeting the fiber-2 protein of FAdV-4 was generated, mAb 3C2. Indirect immunofluorescence assay showed that mAb 3C2 neither reacted with serotype 8 fowl adenovirus (FAdV-8) nor reacted with the fiber-1 protein of FAdV-4; it specifically reacted with the fiber-2 protein of FAdV-4. Notably, mAb 3C2 could efficiently immunoprecipitate the fiber-2 protein in chicken liver cells either infected with FAdV-4 or transfected with pcDNA3.1-Fiber2. Moreover, mAb 3C2 demonstrated marked neutralizing activity against FAdV-4 and could efficiently inhibit the infection of FAdV-4 in vitro. Using truncated fiber-2 constructs, the epitope recognized by mAb 3C2 was determined to be located between amino acids 416–448 at the C-terminus of fiber-2. Our data not only provide a foundation for the establishment of a rapid fiber-2 peptide-based diagnostic assay for FAdV-4 but also highlight the critical role of the fiber-2 protein in mediating infection by FAdV-4. Furthermore, the epitope recognized by 3C2 might serve as a novel target for the development of a vaccine targeting FAdV-4

Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics.

Dynamic contrast-enhanced MRI (DCE-MRI) is routinely included in the prostate MRI protocol for a long time; its role has been questioned. It provides rich spatial and temporal information. However, the contained information cannot be fully extracted in radiologists visual evaluation. More sophisticated computer algorithms are needed to extract the higher-order information. The purpose of this study was to apply a new deep learning algorithm, the bi-directional convolutional long short-term memory (CLSTM) network, and the radiomics analysis for differential diagnosis of PCa and benign prostatic hyperplasia (BPH). To systematically investigate the optimal amount of peritumoral tissue for improving diagnosis, a total of 9 ROIs were delineated by using 3 different methods. The results showed that bi-directional CLSTM with ± 20% region growing peritumoral ROI achieved the mean AUC of 0.89, better than the mean AUC of 0.84 by using the tumor alone without any peritumoral tissue (p = 0.25, not significant). For all 9 ROIs, deep learning had higher AUC than radiomics, but only reaching the significant difference for ± 20% region growing peritumoral ROI (0.89 vs. 0.79, p = 0.04). In conclusion, the kinetic information extracted from DCE-MRI using bi-directional CLSTM may provide helpful supplementary information for diagnosis of PCa