Tong Chen

Dalian Institute of Chemical Physics

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Derek Hao

RMIT University

Kexin Li

Chinese Academy of Sciences

Hongwei Huang

China University of Geosciences (Beijing)

Daimei Chen

China University of Geosciences (Beijing)

Liushui Yan

Nanchang Hangkong University

Dajiang Zhu

The University of Texas at Arlington

Yuhua Dai

Beijing Institute of Petrochemical Technology

Liang Xu

Soochow University

Dongyang Song

Nanchang Hangkong University

Wenqing Yao

Tsinghua University

Cooperative Institutions

Chinese Academy of Sciences

Zhejiang University

University of Science and Technology of China

China University of Geosciences (Beijing)

Jiangsu University

Huazhong University of Science and Technology

Tianjin University

Dalian Institute of Chemical Physics

University of Chinese Academy of Sciences

Central South University

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Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer.

arXiv (Cornell University) (2025)

Jing Zhang Yanjun Lyu Xiao‐Wei Yu Lu Zhang Chao Cao

Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced technique for capturing the dynamic changes of neural activities, and can be very useful in the studies of brain diseases such as Alzheimer's disease (AD). Yet, existing studies have not fully leveraged the sequential information embedded within dFC that can potentially provide valuable information when identifying brain conditions. In this paper, we propose a novel framework that jointly learns the embedding of both spatial and temporal information within dFC based on the transformer architecture. Specifically, we first construct dFC networks from rs-fMRI data through a sliding window strategy. Then, we simultaneously employ a temporal block and a spatial block to capture higher-order representations of dynamic spatio-temporal dependencies, via mapping them into an efficient fused feature representation. To further enhance the robustness of these feature representations by reducing the dependency on labeled data, we also introduce a contrastive learning strategy to manipulate different brain states. Experimental results on 345 subjects with 570 scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) demonstrate the superiority of our proposed method for MCI (Mild Cognitive Impairment, the prodromal stage of AD) prediction, highlighting its potential for early identification of AD.

Dynamic functional connectivity

Robustness

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Suppressing CO formation by anion adsorption and Pt deposition on TiO2 in H2 production from photocatalytic reforming of methanol

Journal of Catalysis (2007)

Gang Wu Tong Chen Xu Zong H YAN Guijun Ma

Production rate

10.1016/j.jcat.2007.10.026

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Citations (50)

Exploring Alzheimer's disease: a comprehensive brain connectome-based survey

Deleted Journal (2024)

Lu Zhang Junqi Qu Haotian Ma Tong Chen Tianming Liu

Dementia is an escalating global health challenge, with Alzheimer's disease (AD) at its forefront. Substantial evidence highlights the accumulation of AD-related pathological proteins in specific brain regions and their subsequent dissemination throughout the broader area along the brain network, leading to disruptions in both individual brain regions and their interconnections. Although a comprehensive understanding of the neurodegeneration-brain network link is lacking, it is undeniable that brain networks play a pivotal role in the development and progression of AD. To thoroughly elucidate the intricate network of elements and connections constituting the human brain, the concept of the brain connectome was introduced. Research based on the connectome holds immense potential for revealing the mechanisms underlying disease development, and it has become a prominent topic that has attracted the attention of numerous researchers. In this review, we aim to systematically summarize studies on brain networks within the context of AD, critically analyze the strengths and weaknesses of existing methodologies, and offer novel perspectives and insights, intending to serve as inspiration for future research.

Brain disease

10.1093/psyrad/kkad033

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Citations (2)

Halloysite nanotube-Fe3O4 composite for removal of methyl violet from aqueous solutions

Desalination (2012)

Jingmin Duan Ruichao Liu Tong Chen Bing Zhang Jindun Liu

Halloysite

Langmuir adsorption model

Methyl violet

Magnetic separation

10.1016/j.desal.2012.02.022

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Citations (122)

Identifying polar and non-polar octahedron units in isomorphic layered perovskites towards efficient piezocatalytic H2 evolution

Nano Energy (2024)

Tong Chen Chen Fang Chunyang Wang Cheng Hu Na Tian

10.1016/j.nanoen.2024.110334

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Citations (1)

Synthesis, Characterization, and in vitro Evaluation of Curcumin-Loaded Albumin Nanoparticles Surface-Functionalized with Glycyrrhetinic Acid [Corrigendum]

International Journal of Nanomedicine (2021)

Jingjing Li Tong Chen Feng Deng Jingyuan Wan Yalan Tang

correct Figure 7 is as follows.

Surface Modification

Characterization

10.2147/ijn.s322322

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Analysis of Relation between Petroleum Industry and Other Industry in Xinjiang

Journal of Xinjiang Agricultural University (2007)

Tong Chen

The purpose of the paper is to analyse the relation between petroleum industry and other industry in Xinjiang during 1994-2004 and reveal the economic law between petroleum industry and other industry in Xinjiang.The paper concluded that Xinjiang's petroleum industry function can't match its economic strength.The industrial structure of petroleum industry of Xinjiang should be adjusted.Investiment in petroleum chemical industry and petroleum processing in Xinjiang should be increased,proportion of petroleum chemical industry and petroleum processing industry among petroleum industry should be enhanced.The method used in our study is known as grey relevancy analysis.

Petroleum system

Chemical industry

Petroleum product

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Study of Government Subsidy Strategy under the Enterprise's Cooperation and Non-cooperation Parallel R&D Pattern

Ruan kexue (2011)

Tong Chen

Concerning the cooperation and non-cooperation parallel RD pattern in the process of enterprise innovation,this article constructs a three-stage game model to analyze the influence of government subsidy pattern on the parallel RD pattern.Through contrastive analysis of the RD investment,output,profit,subsidy rate and social welfare of the subsidy in cooperation RD and non-cooperation RD,we find that the output,profit and social welfare are higher with government subsidy in non-cooperation RD;correspondingly,the subsidy rate is lower.The results indicate that performance of the government's subsidy in non-cooperation RD is higher.

Investment

Social enterprise

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Reflection on Dynamic Scale Management of State Grain Reserves

Xinjiang nongye kexue (2006)

Tong Chen

State Grain Reserves(SGR) is the material foundation for grain macro-control and regulation.Meanwhile,SGR is the main material resource available for the government to mitigate food supply crises.The goal of grain reserve management is to maximize the efficiency of grain macro-control and regulation.This paper suggests that establishing the mechanism of dynamic reserve management could promote achieving the goal of reserve management.Dynamic reserve includes several changing factors,such as general scale of grain reserve,stock pattern(combination of physical stock and cash stock),variety structure and space-time layout. Effectively managing theses factors will improve the efficiency of utilization of SGR and optimize the financial cost for macro-control and regulation of SGR.

Stock (firearms)

Macro

Stock management

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How points-exchange incentives in a closed-loop supply chain weaken competition from the informal recycler

Journal of Industrial and Management Optimization (2022)

Fei-Fei Cheng Tong Chen Qiao Chen

To reduce the negative impact of informal recycling on the environment, we consider the competition in the recycling industry to explore the manufacturer's collection channel choice and the optimal points-exchange level. In this paper, a closed-loop supply chain model including a manufacturer and an informal recycler (IR) is constructed. Stackelberg game theory is used as a theoretical guide. In addition, we study the optimal decision problem under the profit maximization model. We find that the points-exchange offer increases the sales of new products and alleviates competition from IR. The manufacturer prefers to personally implement points-exchange activities to directly collect used products from consumers when the disposal revenue of IR is low. The manufacturer's exchange strategy forces IR to increase the acquisition price and face large cost pressure, which significantly reduces the collection quantity of IR. In the coordination problem, the revenue-sharing contract allows both the manufacturer and the third party to be in a win-win situation. We focus on the effectiveness of points-exchange incentives for manufacturers and third parties. Future research could explore the diversity of exchange offers by including government agencies in the closed-loop supply chain.

Stackelberg competition

Revenue Sharing

10.3934/jimo.2022120

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Citations (1)