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Institution

Zhejiang Gongshang University

EducationHangzhou, China
About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Adsorption & Supply chain. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.


Papers
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Journal ArticleDOI
TL;DR: It is revealed that nonpolar CQDs could also improve CO2 adsorption, photoinduced H2 production, reaction kinetics, and alter CO2 photoreduction pathways to generate CH4 - six times more CO and CH4 without detectable H2 compared to pristine g-C3 N4.
Abstract: Photocatalytic conversion of CO2 can provide a solution for simultaneously addressing global warming and solar fuel generation. However, its applicability is presently limited by the unsatisfactory photoconversion efficiency of the state-of-art photocatalysts. In this regard, enhancing CO2 adsorption through surface modification could be an efficient way to improve the photoconversion efficiency. Herein, doping of nonpolar carbon quantum dots (CQDs) onto g-C3 N4 is reported for the construction of a metal-free heterojunction photocatalyst (CQDs/g-C3 N4 ). CQDs offer several advantages such as band-gap reduction and electron-withdrawing effect to improve light absorption and photocarrier separation efficiency. However, this study reveals that nonpolar CQDs could also improve CO2 adsorption, photoinduced H2 production, reaction kinetics, and alter CO2 photoreduction pathways to generate CH4 . Consequently, the CQDs/g-C3 N4 could generate six times more CO and CH4 without detectable H2 compared to pristine g-C3 N4 , under similar conditions. Therefore, this study demonstrates a promising strategy for efficient adsorption, activation, and subsequent photoreduction of CO2 by nonpolar surface modification of g-C3 N4 .

47 citations

Journal ArticleDOI
TL;DR: In this paper, a new strategy using crop-residues and animal-manure composting (CRAM) was developed to increase CO2 concentration throughout the day during the whole cultivation period, CRAM-treated greenhouses had CO2 concentrations that were more than twice that of the control greenhouses.
Abstract: Concentrations of CO2 are commonly suboptimal for plant production in greenhouses Here, a new strategy using crop-residues and animal-manure composting (CRAM) was developed to increase CO2 concentration throughout the day During the whole cultivation period, CRAM-treated greenhouses had CO2 concentrations that were more than twice that of the control greenhouses This resulted in yields of celery (Apium graveolens L), leaf lettuce (Lactuca virosa L), stem lettuce (Lactuca saiva L), oily sowthistle (Sonchus oleraceus L), and Chinese cabbage (Brassica chinensis L) that were 270%, 257%, 87%, 140%, and 227% higher than those in control greenhouses, respectively The effect of CRAM on vegetable-quality parameters was also examined Nitrate concentrations deceased in celery, leaf lettuce, oily sowthistle, and Chinese cabbage by 8%, 36%, 30%, and 20%, respectively The concentrations of soluble sugars in oily sowthistle and Chinese cabbage were significantly increased by the composting procedure In addition, the ascorbic acid concentrations increased in all five species, with average increases of 13%, 39%, 25%, 72%, and 37% for celery, leaf lettuce, stem lettuce, oily sowthistle, and Chinese cabbage, respectively It is concluded that CO 2 fertilization using CRAM in greenhouses increases yields and improves quality of common vegetables

47 citations

Journal ArticleDOI
TL;DR: This paper investigates joint user association and resource allocation for MSCA systems to achieve energy efficiency (EE) balance among different BSs, and proposes a low-complexity suboptimal algorithm that can achieve flexible EE tradeoff among BSs.
Abstract: Multistream carrier aggregation (MSCA) is a promising technique to boost data rates by enabling users to connect with multiple base stations (BSs) simultaneously. In this paper, we investigate joint user association and resource allocation for MSCA systems to achieve energy efficiency (EE) balance among different BSs. We aim at maximizing the weighted summation of EE values for different BSs, which is modeled as a nonconvex combinatorial sum-of-ratios optimization problem. To develop an upper bound algorithm, we first relax the combinatorial variables and then transform the problem into a series of convex optimization problems by the successive convex approximation (SCA) method. We also propose a low-complexity suboptimal algorithm, which divides the original optimization problem into two steps: user association and channel allocation, as well as power allocation. Numerical results show that the proposed algorithms can achieve flexible EE tradeoff among BSs, and the EE can be significantly improved with MSCA.

47 citations

Journal ArticleDOI
TL;DR: The results suggest that the physicochemical properties, shelf-life, and functional performance of Pickering emulsions may be modulated by blending different kinds of particle-stabilized lipid droplets together.
Abstract: Mixed Pickering emulsions were prepared by blending anionic nanocellulose-stabilized lipid droplets with cationic nanochitin-stabilized lipid droplets. Changes in the surface potential, particle size, shear viscosity, and morphology of the mixed emulsions were characterized when the droplet mixing ratio was varied. Emulsion properties could be tailored by altering the pH and mixing ratio. Surface potential measurements suggested that the nanochitin-coated lipid droplets adsorbed to the surfaces of the nanocellulose-coated lipid droplets, thereby dominating the overall electrical characteristics of the mixed emulsions. As a result, the mixed emulsions had better stability to coalescence than the single emulsions containing only nanocellulose-coated lipid droplets. Our results suggest that the physicochemical properties, shelf life, and functional performance of Pickering emulsions may be modulated by blending different kinds of particle-stabilized lipid droplets together.

46 citations

Journal ArticleDOI
TL;DR: A conceptual model is proposed that links trait promotion and prevention foci with specific citizenship behaviors through an emotion-related self-regulation mechanism that predicts helping and voice via differential effects on emotional exhaustion.
Abstract: Although previous research suggests that regulatory focus matters for organizational citizenship behaviors, it is unclear how promotion and prevention focus relate to such behaviors. Integrating regulatory focus theory with theories of self-regulation, we propose a conceptual model that links trait promotion and prevention foci with specific citizenship behaviors through an emotion-related self-regulation mechanism. Using a sample of 227 nurses working in a hospital context, we observed that trait promotion focus and trait prevention focus predict helping and voice via differential effects on emotional exhaustion. Specifically, trait promotion focus had unconditional indirect effects on helping (positive) and voice (negative) through lower levels of emotional exhaustion. In contrast, trait prevention focus was positively related to voice but negatively related to helping through higher levels of emotional exhaustion. Moreover, these indirect effects of trait prevention focus were moderated by employees' reappraisal of their emotional experiences at work, such that trait prevention focus had weaker relations with helping and voice when reappraisal was higher (vs. lower). We discuss theoretical and practical implications of these findings and highlight avenues for future research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

46 citations


Authors

Showing all 8318 results

NameH-indexPapersCitations
David Julian McClements131113771123
Sajal K. Das85112429785
Ye Wang8546624052
Xun Wang8460632187
Tao Jiang8294027018
Yueming Jiang7945220563
Mo Wang6127413664
Robert J. Linhardt58119053368
Jiankun Hu5749311430
Xuming Zhang5638410788
Yuan Li503528771
Chunping Yang491738604
Duo Li483299060
Matthew Campbell4823613448
Aiqian Ye481636120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202325
2022153
2021937
2020770
2019627