0000000000911376
AUTHOR
Zheng Zhang
showing 3 related works from this author
Effects of alirocumab on types of myocardial infarction : insights from the ODYSSEY OUTCOMES trial
2019
Gislason, Gunnar H/0000-0002-0548-402X; Malynovsky, Yaroslav V/0000-0002-9118-1104; Bhatt, Deepak L./0000-0002-1278-6245; Nikolaev, Konstantin/0000-0003-4601-6203; Sherwood, Matthew/0000-0002-4305-5883; Chumakova, Galina A/0000-0002-2810-6531; Raffel, Owen C/0000-0001-5470-7050; Leonardi, Sergio/0000-0002-4800-6132; Tse, Hung Fat/0000-0002-9578-7808; Reshetko, Olga/0000-0003-3107-7636; Pereira, Helder/0000-0001-8656-4883; Racca, Vittorio/0000-0002-4465-3789; Podoleanu, Cristian/0000-0001-9987-2519; Ersanli, Murat/0000-0003-1847-3087; Muenzel, Thomas/0000-0001-5503-4150; Sandhu, Manjinder/0000-0003-2538-2079; Taskinen, Marja-Riitta/0000-0002-6229-3588; bastos, jose/0000-0002-9526-3123; Manak…
A scalable three-dimensional porous λ-MnO2/rGO/Ca-alginate composite electroactive film with potential-responsive ion-pumping effect for selective re…
2021
Abstract A scalable three-dimensional (3D) porous composite electroactive film consisting of λ-MnO2, reduced graphene oxide (rGO) and calcium alginate (Ca-alg) was successfully fabricated and employed for the selective extraction of Li+ ions with low concentration via an electrochemically switched ion exchange (ESIX) technology. The Li+ ion adsorption capacity of the obtained λ-MnO2/rGO/Ca-alg composite electroactive film reached as high as 32.7 mg g−1 and more than 90% of its equilibrium adsorption capacity was achieved in 1 h. The λ-MnO2/rGO/Ca-alg composite electroactive film displayed evident selectivity towards Li+ ions. The separation factors for Li+/Na+ and Li+/Mg2+ reached 1040.57 a…
Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems
2019
Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user's goal at each step of the dialogue and provides a direct way to validate the ability of dialogue understanding. However, existing studies on belief trackers are largely limited to textual modality, which cannot be easily extended to capture the rich semantics in multimodal systems such as those with product images. For example, in fashion domain, the visual appearance of clothes play a crucial role in understanding the user's intention. In this case, the existing belief trackers may fail …