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Institution

Shanghai University

EducationShanghai, Shanghai, China
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Catalysis. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.


Papers
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Journal ArticleDOI
TL;DR: In this article, a novel strategy to synthesize structurally, mechanically, electrically and optically anisotropic graphene aerogels (AN-GAs) by using gaseous hydrogen chloride to in situ solidify ordered graphene oxide liquid crystals followed by chemical reduction, supercritical fluid drying and annealing in an Ar atmosphere in sequence.
Abstract: To overcome fatal shortcomings of organic phase change materials (PCMs), such as leakage during work, low thermal conductivity and shortage of multiple driving ways, we propose a novel strategy to synthesize structurally, mechanically, electrically and optically anisotropic graphene aerogels (AN-GAs) by using gaseous hydrogen chloride to in situ solidify ordered graphene oxide liquid crystals followed by chemical reduction, supercritical fluid drying and annealing in an Ar atmosphere in sequence. The confined pore space and aligned wall structure of the resulting AN-GAs have benefited crystallization of organic phase change molecules and thus highly efficient phase change composites (PCCs) are fabricated with long durability and good strength. The resulting PCCs can also be driven either by applying a small voltage (1–3 V) with high electro-heat efficiency (up to 85%) or by irradiating with weak sunlight (0.8–1.0 sun) with high photo-heat efficiency (up to 77%).

166 citations

Journal ArticleDOI
TL;DR: In this paper, an ordered mesoporous carbon/carbon nanotube (OMC/CNT) composite electrode was proposed and its capacitive deionization properties were investigated in aqueous solution.
Abstract: In this study, a novel ordered mesoporous carbon/carbon nanotube (OMC/CNT) composite electrode was proposed and its capacitive deionization properties were investigated in aqueous solution. The OMC/CNT composites were obtained by an organic–inorganic self-assembly route. SEM and TEM observations show the 2D hexagonally ordered mesoporous channels and nanotubular morphology of the composites. The OMC/CNT composites with high specific surface area and excellent conductivity are favorable for capacitance deionization due to the easily available electrochemical double layer behaviors. The electrochemical properties are measured by cyclic voltammetry, galvanostatic charge/discharge, and electrochemical impedance spectroscopy measurements. Through all the measurements above, it was found that the OMC/CNT electrodes with 10 wt% of CNTs exhibit superiority in electrosorption capacitance, low resistance, high reversibility and electrochemical stability during the charge/discharge process. The comparative electrosorption properties of the OMC/CNT electrodes were also investigated in various aqueous solutions, and it is found that the electrosorption capability of the OMC/CNT electrodes depends on the hydration radius and valence of the ions in the aqueous solutions. The power and energy density were evaluated by a pair of OMC/CNT electrodes with various current loads, and this showed that the OMC/CNT composite electrodes have higher power density and lower energy density characteristics as compared with the pristine OMC electrode, which indicates that the composite electrodes exhibit low energy consumption for capacitive deionization. In desalination measurements, the OMC/CNT composite electrodes exhibit excellent desalination behavior in a flow-through apparatus, which is attributed to the low resistance and high specific surface area.

166 citations

Journal ArticleDOI
19 Jan 2011-PLOS ONE
TL;DR: Results indicate that the new approach by hybridizing the PPI information and the biochemical/physicochemical features of protein sequences is quite promising that may open a new avenue or direction for addressing the difficult and complicated problem.
Abstract: Background With the huge amount of uncharacterized protein sequences generated in the post-genomic age, it is highly desirable to develop effective computational methods for quickly and accurately predicting their functions. The information thus obtained would be very useful for both basic research and drug development in a timely manner.

166 citations

Journal ArticleDOI
TL;DR: A fast intra-coding algorithm consisting of low-complexity coding tree units (CTU) structure decision and fast intra mode decision and the complexity reduction of the proposed algorithm is up to 70% compared to VVC reference software, and averagely 63% encoding time saving is achieved.
Abstract: Quadtree with nested multi-type tree (QTMT) partition structure is an efficient improvement in versatile video coding (VVC) over the quadtree (QT) structure in the advanced high-efficiency video coding (HEVC) standard. With the exception of the recursive QT partition structure, recursive multi-type tree partition is applied to each leaf node, which generates more flexible block sizes. Besides, intra prediction modes are extended from 35 to 67 so as to satisfy various texture patterns. These newly developed techniques achieve high coding efficiency but also result in very high computational complexity. To tackle this problem, we propose a fast intra-coding algorithm consisting of low-complexity coding tree units (CTU) structure decision and fast intra mode decision in this paper. The contributions of the proposed algorithm lie in the following aspects: 1) the new block size and coding mode distribution features are first explored for a reasonable fast coding scheme; 2) a novel fast QTMT partition decision framework is developed, which can determine the partition decision on both QT and multi-type tree with a novel cascade decision structure; and 3) fast intra mode decision with gradient descent search is introduced, while the best initial search point and search step are also investigated in this paper. The simulation results show that the complexity reduction of the proposed algorithm is up to 70% compared to VVC reference software (VTM), and averagely 63% encoding time saving is achieved with 1.93% BDBR increasing. Such results demonstrate that our method yields a superior performance in terms of computational complexity and compression quality compared to the state-of-the-art methods.

166 citations

Journal ArticleDOI
01 Sep 2014
TL;DR: This study investigates the effects of the three types of perceived benefits, moderated by gender, on satisfaction in relation to SVW continuance and finds that utilitarian and social benefits are more important for female users in predicting satisfaction, whereas hedonic benefit has a more salient effect on satisfaction for male users.
Abstract: Previous studies on social virtual world (SVW) continuance have suggested that satisfaction, which promotes SVW continuance intention, is determined by three types of perceived benefits (i.e., utilitarian, hedonic, and social benefits). Moreover, the relative impacts of these benefits on satisfaction are contingent on individual difference factors such as gender. However, little (if any) research has systematically investigated the effects of these benefits on satisfaction simultaneously, and how these effects are moderated by gender, in the SVW context. Adopting the need fulfillment perspective as a guiding framework and extending the literature of gender differences in technology usage into the distinctive context of SVWs, this study investigates the effects of the three types of perceived benefits, moderated by gender, on satisfaction in relation to SVW continuance. The proposed hypotheses are supported by multigroup PLS analyses using empirical data collected from 464 users of Second Life, a typical SVW. Specifically, we find that utilitarian and social benefits are more important for female users in predicting satisfaction, whereas hedonic benefit has a more salient effect on satisfaction for male users. These findings have important theoretical and practical implications.

166 citations


Authors

Showing all 59993 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Yang Yang1712644153049
Yang Liu1292506122380
Zhen Li127171271351
Xin Wang121150364930
Jian Liu117209073156
Xin Li114277871389
Wei Zhang112118993641
Jianjun Liu112104071032
Liquan Chen11168944229
Jin-Quan Yu11143843324
Jonathan L. Sessler11199748758
Peng Wang108167254529
Qian Wang108214865557
Wei Zhang104291164923
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023182
2022742
20216,322
20205,569
20195,063
20184,235