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Progress in the research and development of p-xylene liquid phase oxidation process

WANG Lijun, CHENG Youwei, WANG Qinbo, LI Xi

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 317-326 doi: 10.1007/s11705-007-0058-9

Abstract: chemical reaction engineering should be developed to process system engineering to extend its scope, and particularattention should be paid on reactor and process modeling.

Keywords： development     -xylene     Zhejiang University     particular attention     viewpoint    

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Management strategies of marine food resources under multiple stressors with particular reference of

Qisheng TANG

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 1,   Pages 85-90 doi: 10.15302/J-FASE-2014021

Abstract:

In this study two main management strategies are discussed: one is to develop resource conservation-based capture fisheries, and the other is to develop environmentally friendly aquaculture. During the resource recovery period, the development of environmentally friendly aquaculture should be encouraged, especially in integrated multi-trophic aquaculture, which is adaptive, efficient and sustainable. For future development and better understanding the ecosystem, it is necessary to further strengthen basic research.

Keywords： marine     ecosystem     management strategies     food resources     Yellow Sea    

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Clean air captures attention whereas pollution distracts: evidence from brain activities

Frontiers of Environmental Science & Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11783-024-1801-x

Abstract:

● We find air pollution distracts attention and reveal the neurocognitive

Keywords： Air pollution     Attention     Disengagement     Performance     Event-related potential    

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Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1621-4

Abstract:

● Used a double-stage attention mechanism model to predict ozone.

Keywords： Ozone prediction     Deep learning     Time series     Attention     Volatile organic compounds    

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New insights into different surfactants’ impacts on sludge fermentation: Focusing on the particular metabolic

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 8, doi: 10.1007/s11783-022-1527-6

Abstract:

• The promoting effects for VFA generation follow the order of APG>SDBS>HTAB.

Keywords： Waste activated sludge (WAS)     Volatile fatty acids (VFA)     Surfactant types     Functional microorganisms     Metabolic activity upregulation    

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Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-021-1398-2

Abstract:

• A survey on individual’s perception of SARS-CoV-2 transmission was conducted.

Keywords： Environmental dissemination     Risk communication     Individual perception    

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Erratum to: Meter-scale variation within a single transect demands attention to taxon accumulation curves

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-022-1560-5

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Meter-scale variation within a single transect demands attention to taxon accumulation curves in riverine

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-022-1543-6

Abstract:

● Riverine microbiomes exhibited hyperlocal variation within a single transect.

Keywords： Microbiome     Freshwater     Taxon accumulation curve     Community assembly    

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Aerodynamic challenges in span length of suspension bridges

XIANG Haifan, GE Yaojun

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 153-162 doi: 10.1007/s11709-007-0016-0

Abstract: finally conducted to respond to the tomorrow s challenge in span length of suspension bridges with the particular

Keywords： requirement     reasonable limitation     challenge     particular     economical construction    

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Wavelet design for extracting weak fault feature based on lifting scheme

JIANG Hong-kai, WANG Zhong-sheng, HE Zheng-jia

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 199-203 doi: 10.1007/s11465-006-0009-z

Abstract: The properties of the initial wavelet is improved, and the new wavelet with particular properties is

Keywords： misalignment     imbalance     particular     position     mechanical    

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Endothelial dysfunction in COVID-19 calls for immediate attention: the emerging roles of the endothelium

Weijian Hang, Chen Chen, Xin A. Zhang, Dao Wen Wang

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 638-643 doi: 10.1007/s11684-021-0831-z

Abstract: We are calling for closer attention to endothelial dysfunction in COVID-19 not only for fully revealing

Keywords： COVID-19     endothelial dysfunction     inflammation reaction     cytokine storm    

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NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Research Articles

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 409-421 doi: 10.1631/FITEE.2000657

Abstract: Recently, graph neural networks (GNNs) have achieved remarkable performance in representation learning on graph-structured data. However, as the number of network layers increases, GNNs based on the neighborhood aggregation strategy deteriorate due to the problem of oversmoothing, which is the major bottleneck for applying GNNs to real-world graphs. Many efforts have been made to improve the process of feature information aggregation from directly connected nodes, i.e., breadth exploration. However, these models perform the best only in the case of three or fewer layers, and the performance drops rapidly for deep layers. To alleviate oversmoothing, we propose a nested graph network (NGAT), which can work in a semi-supervised manner. In addition to breadth exploration, a -layer NGAT uses a layer-wise aggregation strategy guided by the mechanism to selectively leverage feature information from the -order neighborhood, i.e., depth exploration. Even with a 10-layer or deeper architecture, NGAT can balance the need for preserving the locality (including root node features and the local structure) and aggregating the information from a large neighborhood. In a number of experiments on standard tasks, NGAT outperforms other novel models and achieves state-of-the-art performance.

Keywords： Graph learning     Semi-supervised learning     Node classification     Attention    

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Efficient decoding self-attention for end-to-end speech synthesis Research Article

Wei ZHAO, Li XU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1127-1138 doi: 10.1631/FITEE.2100501

Abstract: has been innovatively applied to text-to-speech (TTS) because of its parallel structure and superior strength in modeling sequential data. However, when used in with an autoregressive decoding scheme, its inference speed becomes relatively low due to the quadratic complexity in sequence length. This problem becomes particularly severe on devices without graphics processing units (GPUs). To alleviate the dilemma, we propose an (EDSA) module as an alternative. Combined with a dynamic programming decoding procedure, TTS model inference can be effectively accelerated to have a linear computation complexity. We conduct studies on Mandarin and English datasets and find that our proposed model with EDSA can achieve 720% and 50% higher inference speed on the central processing unit (CPU) and GPU respectively, with almost the same performance. Thus, this method may make the deployment of such models easier when there are limited GPU resources. In addition, our model may perform better than the baseline Transformer TTS on out-of-domain utterances.

Keywords： Efficient decoding     End-to-end     Self-attention     Speech synthesis    

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Attention-based encoder-decoder model for answer selection in question answering Article

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 535-544 doi: 10.1631/FITEE.1601232

Abstract: In this paper, we introduce an attention-based deep learning model to address the answer selection taskOur model also uses a step attention mechanism which allows the question to focus on a certain part of

Keywords： Question answering     Answer selection     Attention     Deep learning    

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Filter-cluster attention based recursive network for low-light enhancement Research Article

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1028-1044 doi: 10.1631/FITEE.2200344

Abstract: FCA and self-attention are used to highlight the low-light regions and important channels of the feature

Keywords： Low-light enhancement     Filter-cluster attention     Dense connection pyramid     Recursive network    

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Title Author Date Type Operation

Progress in the research and development of p-xylene liquid phase oxidation process

WANG Lijun, CHENG Youwei, WANG Qinbo, LI Xi

Journal Article

Management strategies of marine food resources under multiple stressors with particular reference of

Qisheng TANG

Journal Article

Clean air captures attention whereas pollution distracts: evidence from brain activities

Journal Article

Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Journal Article

New insights into different surfactants’ impacts on sludge fermentation: Focusing on the particular metabolic

Journal Article

Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities

Journal Article

Erratum to: Meter-scale variation within a single transect demands attention to taxon accumulation curves

Journal Article

Meter-scale variation within a single transect demands attention to taxon accumulation curves in riverine

Journal Article

Aerodynamic challenges in span length of suspension bridges

XIANG Haifan, GE Yaojun

Journal Article

Wavelet design for extracting weak fault feature based on lifting scheme

JIANG Hong-kai, WANG Zhong-sheng, HE Zheng-jia

Journal Article

Endothelial dysfunction in COVID-19 calls for immediate attention: the emerging roles of the endothelium

Weijian Hang, Chen Chen, Xin A. Zhang, Dao Wen Wang

Journal Article

NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Journal Article

Efficient decoding self-attention for end-to-end speech synthesis

Wei ZHAO, Li XU

Journal Article

Attention-based encoder-decoder model for answer selection in question answering

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Journal Article

Filter-cluster attention based recursive network for low-light enhancement

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Journal Article