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Showing papers by "Zhejiang Gongshang University published in 2019"


Journal ArticleDOI
01 Jul 2019
TL;DR: In this paper, the authors systematically summarize the recent progress of MOF-based materials (including pristine MOFs, MOF composites, and MOF derivatives) for heterogeneous catalysis, photocatalysis and electrocatalysis.
Abstract: Metal-organic frameworks (MOFs), also known as porous coordination polymers (PCPs), are a unique class of porous crystalline materials that are constructed by metal ions/clusters and organic ligands. The intriguing, numerous and tailorable structures as well as permanent porosity of MOFs make them very promising for a variety of potential applications, especially in catalysis. In this review, we systematically summarize the recent progress of MOF-based materials (including pristine MOFs, MOF composites, and MOF derivatives) for heterogeneous catalysis, photocatalysis and electrocatalysis, according to the category of active site origin. We clearly indicate the significant strengths (and also weaknesses) of the MOF-based materials, in reference to traditional catalysts, in catalytic studies. The challenges and opportunities in regard to the MOF-based materials for catalysis have also been critically discussed.

329 citations


Journal ArticleDOI
TL;DR: This study examines how live streaming influences social commerce customers’ purchase intentions in China by building a theoretical model from the perspective of IT affordance and empirically measure the model by surveying customers who have shopped via live streaming shopping platforms.

317 citations


Journal ArticleDOI
Bailin Yang1, Shulin Sun1, Jianyuan Li, Xianxuan Lin1, Yan Tian1 
TL;DR: This work proposes an improved approach that connects the high-impact value of remarkably long sequence time steps to the current time step, and these high- impact traffic flow values are captured using the attention mechanism.

229 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper discussed species, effects, and mode of actions of probiotics in Chinese aquaculture since 2008, and the challenges and future directions for research are also discussed.

190 citations


Journal ArticleDOI
TL;DR: This critical review provides a comprehensive overview of the principles and applications of surface plasmon resonance (SPR) biosensors in the identification and quantification of food allergens (milk, egg, peanut, and seafood); and the potential of newly developed SPR biosensor for multi-allergen real-time detection in a complex food system is highlighted.

190 citations


Proceedings ArticleDOI
15 Jun 2019
TL;DR: In this paper, a dual deep encoding network is proposed to encode videos and queries into powerful dense representations of their own, achieving state-of-the-art performance for zero-example video retrieval.
Abstract: This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in natural language text with no visual example provided. Given videos as sequences of frames and queries as sequences of words, an effective sequence-to-sequence cross-modal matching is required. The majority of existing methods are concept based, extracting relevant concepts from queries and videos and accordingly establishing associations between the two modalities. In contrast, this paper takes a concept-free approach, proposing a dual deep encoding network that encodes videos and queries into powerful dense representations of their own. Dual encoding is conceptually simple, practically effective and end-to-end. As experiments on three benchmarks, i.e. MSR-VTT, TRECVID 2016 and 2017 Ad-hoc Video Search show, the proposed solution establishes a new state-of-the-art for zero-example video retrieval.

177 citations


Journal ArticleDOI
TL;DR: In this paper, a three-echelon closed-loop supply chain (CLSC) consisting of a manufacturer, a distributor, and a retailer exhibits fairness concerns is investigated.

165 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper constructed a panel threshold effect model to investigate the threshold effect of government subsidies on renewable energy investment and further explored the effects and differences regarding government subsidy types and enterprise size.

152 citations


Journal ArticleDOI
TL;DR: A systematic study on the cryptographic primitives in blockchains by comprehensive analysis on top-30 mainstream cryptocurrencies, in terms of the usages, functionalities, and evolutions of these primitives.

139 citations


Journal ArticleDOI
TL;DR: The aggregation of the different parts of MULTIMOORA which makes the technique more operational, especially in case of large-scale applications, and compared to those obtained by employing TOPSIS and VIKOR methods.

131 citations


Journal ArticleDOI
TL;DR: The results of the conditional logit model provide compelling evidence that environmental regulations do affect the location choice of firms in polluting industries and consistently confirm the Porter effect at the country level.

Journal ArticleDOI
TL;DR: In this study, a hybrid deep learning model is proposed combining an ensemble long short term memory (LSTM) neural network with the stationary wavelet transform (SWT) technique, which alleviates the volatility and increases the data dimensions, which potentially help improve the LSTM forecasting accuracy.
Abstract: Irregular human behaviors and univariate datasets remain as two main obstacles of data-driven energy consumption predictions for individual households. In this study, a hybrid deep learning model is proposed combining an ensemble long short term memory (LSTM) neural network with the stationary wavelet transform (SWT) technique. The SWT alleviates the volatility and increases the data dimensions, which potentially help improve the LSTM forecasting accuracy. Moreover, the ensemble LSTM neural network further enhances the forecasting performance of the proposed method. Verification experiments were performed based on a real-world household energy consumption dataset collected by the ‘UK-DALE project. The results show that, with a competitive training efficiency, the proposed method outperforms all compared state-of-art methods, including the persistent method, support vector regression (SVR), long short term memory (LSTM) neural network and convolutional neural network combining long short term memory (CNN-LSTM), with different step sizes at 5, 10, 20 and 30 minutes, using three error metrics.

Journal ArticleDOI
TL;DR: It is elucidated that proteins-polysaccharides complex nanoparticles are feasible to solubilize and protect sensitive amphiphilic bioactive compounds and have extensive potential in food and medicinal applications.

Journal ArticleDOI
TL;DR: Results corroborate that the proposed mechanisms can efficiently stimulate mobile edge users to perform evaluation task and improve the accuracy of trust evaluation, and validate the validity of Quality-Aware Trustworthy Incentive Mechanism.
Abstract: Both academia and industry have directed tremendous interest toward the combination of Cyber Physical Systems and Cloud Computing, which enables a new breed of applications and services. However, due to the relative long distance between remote cloud and end nodes, Cloud Computing cannot provide effective and direct management for end nodes, which leads to security vulnerabilities. In this article, we first propose a novel trust evaluation mechanism using crowdsourcing and Intelligent Mobile Edge Computing. The mobile edge users with relatively strong computation and storage ability are exploited to provide direct management for end nodes. Through close access to end nodes, mobile edge users can obtain various information of the end nodes and determine whether the node is trustworthy. Then, two incentive mechanisms, i.e., Trustworthy Incentive and Quality-Aware Trustworthy Incentive Mechanisms, are proposed for motivating mobile edge users to conduct trust evaluation. The first one aims to motivate edge users to upload their real information about their capability and costs. The purpose of the second one is to motivate edge users to make trustworthy effort to conduct tasks and report results. Detailed theoretical analysis demonstrates the validity of Quality-Aware Trustworthy Incentive Mechanism from data trustfulness, effort trustfulness, and quality trustfulness, respectively. Extensive experiments are carried out to validate the proposed trust evaluation and incentive mechanisms. The results corroborate that the proposed mechanisms can efficiently stimulate mobile edge users to perform evaluation task and improve the accuracy of trust evaluation.

Journal ArticleDOI
TL;DR: This review describes the surface interactions of liposomes with their encapsulated ingredients and with external food components and updates the biological fate ofliposomes after ingestion and summarizes current models for the human stomach and intestine that are available and their relevance in nutritional studies.

Journal ArticleDOI
TL;DR: Results showed that S. gregaria and A. mellifera have a potential for future applications for food, feed, or insect-based dietary supplements and protein-enriched fractions obtained from honey bee brood showed significantly higher protein heat coagulation than grasshopper and whey proteins.

Proceedings ArticleDOI
15 Oct 2019
TL;DR: With W2VV++, a super version of Word2VisualVec previously developed for visual-to-text matching, a new baseline for ad-hoc video search is established, which outperforms the state-of-the-art.
Abstract: Ad-hoc video search (AVS) is an important yet challenging problem in multimedia retrieval. Different from previous concept-based methods, we propose a fully deep learning method for query representation learning. The proposed method requires no explicit concept modeling, matching and selection. The backbone of our method is the proposed W2VV++ model, a super version of Word2VisualVec (W2VV) previously developed for visual-to-text matching. W2VV++ is obtained by tweaking W2VV with a better sentence encoding strategy and an improved triplet ranking loss. With these simple yet important changes, W2VV++ brings in a substantial improvement. As our participation in the TRECVID 2018 AVS task and retrospective experiments on the TRECVID 2016 and 2017 data show, our best single model, with an overall inferred average precision (infAP) of 0.157, outperforms the state-of-the-art. The performance can be further boosted by model ensemble using late average fusion, reaching a higher infAP of 0.163. With W2VV++, we establish a new baseline for ad-hoc video search.

Journal ArticleDOI
TL;DR: An automatic method for grading fish feeding intensity based on a convolutional neural network (CNN) and machine vision is proposed to evaluate fish appetite and shows that the grading accuracy reached 90%; thus, the model can be used to detect and evaluating fish appetite to guide production practices.

Journal ArticleDOI
TL;DR: In this article, the effects of melatonin treatment on the development of gray mold, disease resistance signals and phenylpropanoid pathway in tomato were investigated after the mature-green fruit were dipped in 0.1mM melatonin for 60min and subsequently stored at 22.5°± 1.1°C.

Journal ArticleDOI
TL;DR: A highly selective and sensitive ratiometric fluorescent probe was innovatively fabricated for the evaluation of AChE activity and the determination of OPs in tap water and food on the basis of inner filter effect (IFE) between nitrogen-doped carbon dots (N-CDs) and 2,3-diaminophenazine (DAP).
Abstract: Evaluation of acetylcholinesterase (AChE) activity and determination of organophosphorus pesticides (OPs) are of great importance for the clinical diagnosis of several serious diseases correlated with their variations in human blood serum. In this study, a highly selective and sensitive ratiometric fluorescent probe was innovatively fabricated for the evaluation of AChE activity and the determination of OPs in tap water and food on the basis of the inner filter effect (IFE) between nitrogen-doped carbon dots (N-CDs) and 2,3-diaminophenazine (DAP). N-CDs were synthesized via a one-pot hydrothermal method by using pancreatin and 1,2-ethanediamine as precursors. N-CDs showed excellent fluorescence properties and negligible cytotoxicity on human cervical carcinoma HeLa cells and human embryonic kidney 293T cells, suggesting their further biological applications. Upon the addition of AChE and choline oxidase, acetylcholine was catalyzed to produce choline that was further oxidized to produce H2O2. In the presence of horseradish peroxidase, o-phenylenediamine reacted with H2O2 to produce fluorescent DAP. Therefore, a ratiometric fluorescent probing platform existed via IFE between N-CDs with a fluorescence signal at 450 nm and DAP with a fluorescence signal at 574 nm. OPs irreversibly impeded the catalytic activity of AChE, finally leading to the decrease of DAP amount and the variation of ratiometric fluorescent signal. Under optimal conditions, such a fluorescent probe showed relatively low detection limits of 0.38 U/L for AChE, 3.2 ppb for dichlorvos, and 13 ppb for methyl-parathion. Practical application of this ratiometric fluorescent probe to detect OPs was further verified in tap water and food samples with satisfying results that were highly consisted with the results obtained by GC-MS.

Journal ArticleDOI
TL;DR: A fog computing model is proposed and the Hungarian algorithm is extended to manage the coupling resource which can get smaller delay to realize effective and sustainable services to build highly sustainable systems.

Proceedings ArticleDOI
15 Jun 2019
TL;DR: A hierarchical recurrent network structure is developed to simultaneously encodes local contexts of individual frames and global contexts of the sequence, which achieves more natural and accurate predictions over state-of-the-art methods.
Abstract: Anticipating the future motions of 3D articulate objects is challenging due to its non-linear and highly stochastic nature. Current approaches typically represent the skeleton of an articulate object as a set of 3D joints, which unfortunately ignores the relationship between joints, and fails to encode fine-grained anatomical constraints. Moreover, conventional recurrent neural networks, such as LSTM and GRU, are employed to model motion contexts, which inherently have difficulties in capturing long-term dependencies. To address these problems, we propose to explicitly encode anatomical constraints by modeling their skeletons with a Lie algebra representation. Importantly, a hierarchical recurrent network structure is developed to simultaneously encodes local contexts of individual frames and global contexts of the sequence. We proceed to explore the applications of our approach to several distinct quantities including human, fish, and mouse. Extensive experiments show that our approach achieves more natural and accurate predictions over state-of-the-art methods.

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the application of octenyl succinic anhydride (OSA) starch and chitosan to form multilayer nanoemulsions in the spray-drying microencapsulation of β-carotene in oil.

Journal ArticleDOI
TL;DR: A hybrid method combining the extended Kalman filter (EKF) with cost-sensitive dissimilar ELM (CS-D-ELM) is introduced, more suitable for real-time fault diagnosis of air handling units than traditional approaches.
Abstract: The extreme learning machine (ELM) is famous for its single hidden-layer feed-forward neural network which results in much faster learning speed comparing with traditional machine learning techniques. Moreover, extensions of ELM achieve stable classification performances for imbalanced data. In this paper, we introduce a hybrid method combining the extended Kalman filter (EKF) with cost-sensitive dissimilar ELM (CS-D-ELM). The raw data are preprocessed by EKF to produce inputs for the CS-D-ELM classifier. Experimental results show that the proposed method is more suitable for real-time fault diagnosis of air handling units than traditional approaches.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper explored the dynamics of polycentric urban development and thermal environment in Hangzhou during 2000-2010, and their relationship was investigated in both morphological and functional dimensions.

Journal ArticleDOI
TL;DR: In this article, the electrochemical Fenton (electro-Fenton) pretreatment was explored as an attractive dewatering method for excess sludge produced in municipal wastewater treatment plants (MWTPs).

Journal ArticleDOI
TL;DR: In this paper, the authors consider a retailer responsible for recycling and a manufacturer responsible for remanufacturing and form three game theoretic models for two different scenarios with different pricing strategies, i.e., a non-cooperative pricing scenario based on Stackelberg equilibrium and Nash equilibrium, and a joint pricing scenario within a cooperative game model.


Journal ArticleDOI
TL;DR: In this article, a moderated mediation model was proposed to examine the relationship between inclusive leadership and team innovation, and the results of hierarchical regression analysis from two survey-based field studies in China demonstrated that team voice mediated the relationship and performance pressure moderated the direct relationship between inclusion and team voice and indirect relationship via team voice such that the relationships were stronger when performance pressure was high.

Journal ArticleDOI
TL;DR: In this paper, the effect of chitosan (CH) along with guar gum (GG) (5, 15, and 25%) on the quality of shiitake mushroom (Lentinus edodes) stored at 4'±'1'°C for 16'days was investigated.