Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion. Most existing approaches rely heavily on sophisticated model designs and/or extra fine-grained annotations, which, to some extent, increase the difficulty in algorithm implementation and data collection. In this work, we propose an easy-to-implement strong baseline for irregular scene text recognition, using offthe-shelf neural network components and only word-level annotations. It is composed of a 31-layer ResNet, an LSTMbased encoder-decoder framework and a 2-dimensional attention module. Despite its simplicity, the proposed method is robust. It achieves state-of-the-art performance on irregular text recognition benchmarks and comparable results on regular text datasets. Code is available at: https : //tinyurl.com/ShowAttendRead

Background and objective Previous studies about the prognostic value of the HIPEC have yielded controversial results. Therefore, this study aims to assess the impact of HIPEC on patients with ovarian cancer. Results We included 13 comparative studies, and found that the overall survival (OS) and progression-free survival (PFS) in HIPEC groups were superior to groups without HIPEC treatment in the all total population (HR = 0.54,95% CI:0.45 to 0.66, HR = 0.45, 95% CI: 0.32 to 0.62). Additionally, the subgroup analysis showed that patients with advanced primary ovarian cancers also gained improved OS and PFS benefit from HIPEC (HR = 0.59,95% CI:0.46 to 0.75, HR = 0.41,95% CI:0.32 to 0.54). With regard to recurrent ovarian cancer, HIPEC was associated with improved OS (HR = 0.45,95% CI:0.24 to 0.83), but for the PFS, no correlation was observed between HIPC group and the non-HIPEC group (HR = 0.55,95% CI:0.27 to 1.11). HIPEC also led to favorable clinical outcome (HR = 0.64,95% CI:0.50 to 0.82, HR = 0.36,95% CI:0.20 to 0.65) for stage III or IV ovarian cancer with initial diagnosis. Conclusion The review indicated that HIPEC-based regimens was correlated with better clinical prognosis for patients with primary ovarian cancers. For recurrent ovarian cancers, HIPEC only improved the OS but did not elicit significant value on the PFS. Electronic supplementary material The online version of this article (10.1186/s13048-019-0509-1) contains supplementary material, which is available to authorized users.

10Vanadium pentoxide (V2O5)/multiwalled carbon nanotubes (MWCNTs) core/shell hybrid aerogels with different MWCNTs content are controlled synthesized through a facile mixed growth and self-assembly methodology. V2O5 coated MWCNTs from the in-situ growth of V2O5 on the surface of acid-treated MWCNTs incorporate with V2O5 nanofibers from the preferred orientation growth of V2O5 in a one-step sol-gel process. These two kinds of one-dimensional fibers selfassemble into a three-dimensional monolithic porous hybrid aerogel. Owing to its high specific surface area, favorable 15 electrical conductivity and unique three-dimensional and core/shell structures, the light weight hybrid aerogel (about 30 mg cm -3 ) exhibits excellent specific capacitance (625 F g -1 ), high energy density (86.8 Wh kg -1 ) and outstanding cycle performance (> 20000 cycles). And the optimal content of MWCNTs in hybrid aerogels for highest-performance supercapacitor is 7.6%. 65relatively low, which is unfavorable for the improvement of the electrochemical performance of supercapacitors. On the other hand, three-dimensional (3D) MWCNTs/V 2 O 5 core/shell sponge with high specific surface area can be synthesized through chemical vapor deposition (CVD) and atomic layer 70 deposition (ALD) methods, but it requires severe conditions, sophisticated equipment and tedious procedures.34 Until now, limited by its complex procedures, the controlled synthesis of

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