• Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts 

      Zou, Qunsheng; Yang, Kuo; Shu, Zixin; Chang, Kai; Zheng, Qiguang; Zheng, Yi; Lu, Kezhi; Xu, Ning; Tian, Haoyu; Li, Xiaomeng; Yang, Yuxia; Zhou, Yana; Yu, Haibin; Zhang, Xiaoping; Xia, Jianan; Zhu, Qiang; Poon, Josiah; Poon, Simon; Zhang, Runshun; Li, Xiaodong; Zhou, Xuezhong
      Published 2022
      Biomedical named entity recognition (BioNER) from clinical texts is a fundamental task for clinical data analysis due to the availability of large volume of electronic medical record data, which are mostly in free text ...
      Article
    • Split Hopkinson Tension test data 

      Weerasinghe, Dakshitha Udayanga
      Published 2022-03-28
      Split Hopkinson Tension Test data for Twaron CT709 single yarns at different strain rates. Voltage-time data from incident and transmission bars are given. Full details and analysis can be found in "Design of a Soft Armour ...
      Open Access
      Dataset
    • Assessing the economic potential of large-scale, carbonate-formation-free CO2 electrolysis 

      Jing, Xuechen; Li, Fengwang; Wang, Yuhang
      Published 2022
      Electrochemical CO2 reduction is a potential approach to manufacture carbon-neutral fuels and chemicals. To deploy CO2 electrolysis in the practical production of fuels and chemicals, energetically efficient electrolyzers ...
      Open Access
      Article
    • The antimicrobial efficacy of plasma-activated water against Listeria and E. coli is modulated by reactor design and water composition 

      Rothwell, Joanna G; Alam, David; Carter, Dee A.; Soltani, Behdad; McConchie, Robyn; Zhou, Renwu; Cullen, Patrick J.; Mai-Prochnow, Anne
      Published 2021
      Aims: This study aimed to compare the efficacy of plasma-activated water (PAW) generated by two novel plasma reactors against pathogenic foodborne illness organisms. Methods and results: The antimicrobial efficacy of ...
      Open Access
      Article
    • The ensemble approach to forecasting: A review and synthesis 

      Wu, Hao; Levinson, David M.
      Published 2021
      Ensemble forecasting is a modeling approach that combines data sources, models of different types, with alternative assumptions, using distinct pattern recognition methods. The aim is to use all available information in ...
      Open Access
      Article