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Auxiliary diagnostic system for ADHD in children based on AI technology Research

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3,   Pages 400-414 doi: 10.1631/FITEE.1900729

Abstract: integrate artificial intelligence (AI) technology into a software-hardware coordinated system to make ADHD

Keywords： Attention deficit hyperactivity disorder (ADHD)     Auxiliary diagnosis     Computer vision     Deep learning    

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YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 583-593 doi: 10.15302/J-FASE -2020325

Abstract:

The effects of regulated deficit irrigation (RDI) on the performance of almond cv.

Keywords： fruit quality / fruit yield / Prunus domestica / Prunus dulcis / Prunus persica / regulated deficit irrigation    

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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological

Ziqi Chen, Xiaoqi Huang, Qiyong Gong, Bharat B. Biswal

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 528-540 doi: 10.1007/s11684-020-0798-1

Abstract: Major depressive disorder (MDD) causes great decrements in health and quality of life with incrementsforeseeable clinical applications for different MRI modalities were introduced according to their role in disorder

Keywords： psychoradiology     major depressive disorder     MRI     biomarker    

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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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YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Rachid RAZOUK, Abdellah KAJJI, Anas HAMDANI, Jamal CHARAFI, Lahcen HSSAINI, Said BOUDA

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 583-593 doi: 10.15302/J-FASE-2020325

Abstract: The effects of regulated deficit irrigation (RDI) on the performance of almond cv. Tuono, peach cv.

Keywords： fruit quality     fruit yield     Prunus domestica     Prunus dulcis     Prunus persica     regulated deficit    

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Relationship between expression of hepatocyte grow factor and apoptosis of trophoblasts in hypertensive disorder

OUYANG Shan, ZHANG Qinghua, QIAO Fuyuan

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 386-389 doi: 10.1007/s11684-007-0075-6

Abstract: growth factor (HGF) and Fas in placentas of uncomplicated pregnant women and those with hypertensive disorder

Keywords： pregnancy     concentration     possible relationship     responsible     hepatocyte    

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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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The development and benefits of metformin in various diseases

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 388-431 doi: 10.1007/s11684-023-0998-6

Abstract: Metformin has been used for the treatment of type II diabetes mellitus for decades due to its safety, low cost, and outstanding hypoglycemic effect clinically. The mechanisms underlying these benefits are complex and still not fully understood. Inhibition of mitochondrial respiratory-chain complex I is the most described downstream mechanism of metformin, leading to reduced ATP production and activation of AMP-activated protein kinase (AMPK). Meanwhile, many novel targets of metformin have been gradually discovered. In recent years, multiple pre-clinical and clinical studies are committed to extend the indications of metformin in addition to diabetes. Herein, we summarized the benefits of metformin in four types of diseases, including metabolic associated diseases, cancer, aging and age-related diseases, neurological disorders. We comprehensively discussed the pharmacokinetic properties and the mechanisms of action, treatment strategies, the clinical application, the potential risk of metformin in various diseases. This review provides a brief summary of the benefits and concerns of metformin, aiming to interest scientists to consider and explore the common and specific mechanisms and guiding for the further research. Although there have been countless studies of metformin, longitudinal research in each field is still much warranted.

Keywords： metformin     metabolism     cancer     aging     neurological disorder    

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Probe into semi dryland agriculture limited supplemental irrigation model in the water deficit areas

Li Yingneng

Strategic Study of CAE 2012, Volume 14, Issue 3,   Pages 41-45

Abstract: questions of implication related with the semi-dryland agriculture, expounded the significance of the water deficitBssed on the characteristics of the water deficit areas in North China, the model and tactics of developing

Keywords： semi-dryland     agriculture     limited supplemental irrigation     mode    

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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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Title Author Date Type Operation

Auxiliary diagnostic system for ADHD in children based on AI technology

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Journal Article

YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Journal Article

Translational application of neuroimaging in major depressive disorder: a review of psychoradiological

Ziqi Chen, Xiaoqi Huang, Qiyong Gong, Bharat B. Biswal

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

YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Rachid RAZOUK, Abdellah KAJJI, Anas HAMDANI, Jamal CHARAFI, Lahcen HSSAINI, Said BOUDA

Journal Article

Relationship between expression of hepatocyte grow factor and apoptosis of trophoblasts in hypertensive disorder

OUYANG Shan, ZHANG Qinghua, QIAO Fuyuan

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

The development and benefits of metformin in various diseases

Journal Article

Probe into semi dryland agriculture limited supplemental irrigation model in the water deficit areas

Li Yingneng

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