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| 1 | Ebola haemorrhagic fever:experimental infection of monkeys显示文摘 | Bowen ET Platt GS Simpson DI | 1978 | Trans R Soc Trop Med Hyg1978，72，： | 1 |
| 2 | Acoustic measurement of the deepwater horizon macondo well flow rate显示文摘 | CAMILLI R DI I D BOWEN A | 2012 | Proceedings of the National Academy of the Sciences of the United States of America(PNAS)2012，109，20： | 1 |
| 3 | Ocular side-effects of Ibuprofen 显示文摘 | CoUum LM Bowen DI | 1971 | BrJOphthalmol1971，55，7： | 1 |
| 4 | Fe_(3)C coupled with Fe-N_(x)supported on N-doped carbon as oxygen reduction catalyst for assembling Zn-air battery to drive water splitting显示文摘Fe-N-C structures have been considered as a candidate to replace noble metal catalysts towards oxygen reduction reaction(ORR)due to their excellent electrocatalytic activity and durability.Herein,a zincmediated synthesis strategy is proposed for N-doped graphitic porous carbon encapsulated uniform dispersed Fe_(3)C nanoparticles coupled with atomically dispersed Fe-Nxmoieties(NPC/Fe-N-C)derived from biomass coconut shell.The introduction of zinc species could be conductive to the dispersion of iron species and formation of porous structures.Density functional theory calculations demonstrate that the N-doped carbon coating structures can weaken the oxygen intermediates adsorption energy barrier of Fe_(3)C.Beside,the graphitic carbon could promote the electron transfer during the electrochemical reaction.These special structures enable NPC/Fe-N-C to have excellent ORR activity with an Eonsetof 1.0 V,which is much better than Pt/C.Furthermore,the zinc-air battery assembled by pairing NPC/Fe-N-C with a high-efficiency oxygen evolution reaction(OER)catalyst can continuously and stably operate a chargedischarge potential gap of 0.8 V at 10 m A/cm^(2)for more than 600 h.More importantly,the assembled batteries could drive overall water splitting device,realizing the effective energy conversion. | Guangying Zhang Xu Liu Peng Yu Di Shen Bowen Liu Qiwen Pan Lei Wang Honggang Fu | 2022 | Chinese Chemical Letters2022，33，8： | 0 |
| 5 | CVTD: A Robust Car-Mounted Video Text Detector显示文摘Text perception is crucial for understanding the semantics of outdoor scenes,making it a key requirement for building intelligent systems for driver assistance or autonomous driving.Text information in car-mounted videos can assist drivers in making decisions.However,Car-mounted video text images pose challenges such as complex backgrounds,small fonts,and the need for real-time detection.We proposed a robust Car-mounted Video Text Detector(CVTD).It is a lightweight text detection model based on ResNet18 for feature extraction,capable of detecting text in arbitrary shapes.Our model efficiently extracted global text positions through the Coordinate Attention Threshold Activation(CATA)and enhanced the representation capability through stacking two Feature Pyramid Enhancement Fusion Modules(FPEFM),strengthening feature representation,and integrating text local features and global position information,reinforcing the representation capability of the CVTD model.The enhanced feature maps,when acted upon by Text Activation Maps(TAM),effectively distinguished text foreground from non-text regions.Additionally,we collected and annotated a dataset containing 2200 images of Car-mounted Video Text(CVT)under various road conditions for training and evaluating our model’s performance.We further tested our model on four other challenging public natural scene text detection benchmark datasets,demonstrating its strong generalization ability and real-time detection speed.This model holds potential for practical applications in real-world scenarios. | Di Zhou Jianxun Zhang Chao Li Yifan Guo Bowen Li | 2024 | Computers, Materials & Continua2024，78，2： | 0 |
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