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CAVE: Cerebral artery–vein segmentation in digital subtraction angiography

Su, R. (author), van der Sluijs, P.M. (author), Chen, Yuan (author), Cornelissen, Sandra (author), van den Broek, R.B. (author), van Zwam, Wim H. (author), van der Lugt, Aad (author), Niessen, W.J. (author), Ruijters, Danny (author), van Walsum, T. (author)

Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery–vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction,...

journal article 2024

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The Three-Points Sponge Policy approach; toward an enhanced multi-level resilience strategy

van de Ven, F.H.M. (author), Zevenbergen, C. (author), Avellar Montezuma, M. (author), Ding, Zihang (author), Veerbeek, William (author), Chen, Shiyang (author)

Urban water management is confronted with more frequent, more extreme weather events. This paper introduces the Three-Points Approach (3PA) into Sponge City concept, to create a novel framework aimed at guiding water management interventions across local, urban, regional, and river basin scales. The 3PA integrates three domains—Day-to-day,...

journal article 2024

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Dynamic modelling of subgrid scalar dissipation rate in premixed and partially premixed flames with differential filter

Ferrante, G. (author), Chen, Zhi X. (author), Langella, I. (author)

Large eddy simulation (LES) paradigms are used in the present work to predict premixed and partially premixed turbulent flames with flamelets based thermochemistry and presumed filtered density function approach for turbulence-chemistry interaction modelling. The combustion model requires a closure for the scalar dissipation rate of a...

journal article 2024

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Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques

Zhi, Danyue (author), Zhao, Hepeng (author), Chen, Yan (author), Song, Weize (author), Song, Dongdong (author), Yang, Y. (author)

The configuration of the urban built environment is critical for promoting sustainability and achieving carbon neutrality. However, existing studies mostly use linear and spatial econometric models to investigate the relationship between urban built environments and traffic carbon dioxide (CO₂) emissions, in-depth studies exploring...

journal article 2024

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Precision Engineering of the Co-immobilization of Enzymes for Cascade Biocatalysis

Luo, Zhiyuan (author), Qiao, Li (author), Chen, Haomin (author), Mao, Zhili (author), Wu, Shujiao (author), Ma, Bianqin (author), Xie, Tian (author), Wang, Anming (author), Pei, Xiaolin (author), Sheldon, R.A. (author)

The design and orderly layered co-immobilization of multiple enzymes on resin particles remain challenging. In this study, the SpyTag/SpyCatcher binding pair was fused to the N-terminus of an alcohol dehydrogenase (ADH) and an aldo-keto reductase (AKR), respectively. A non-canonical amino acid (ncAA), p-azido-L-phenylalanine (p-AzF), as the...

journal article 2024

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Mechanical Framework for Geopolymer Gels Construction: An Optimized LSTM Technique to Predict Compressive Strength of Fly Ash-Based Geopolymer Gels Concrete

Shi, Xuyang (author), Chen, Shuzhao (author), Wang, Qiang (author), Lu, Yijun (author), Ren, S. (author), Huang, Jiandong (author)

As an environmentally responsible alternative to conventional concrete, geopolymer concrete recycles previously used resources to prepare the cementitious component of the product. The challenging issue with employing geopolymer concrete in the building business is the absence of a standard mix design. According to the chemical composition of...

journal article 2024

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Mechanism and Performance of SBS Polymer Dry-Modified Asphalt Mixture with PCB and TPO from Waste Tires

Li, Yuanyuan (author), Li, Jun (author), Bai, Tao (author), Chen, Anqi (author), Gu, Dengjun (author), Gao, Y. (author)

Based on the efficient resource utilization of scrap tires, pyrolysis carbon black (PCB), and pyrolysis oil of waste tire (TPO), scrap tires' products were treated using dry styrene-butadiene-styrene (SBS) polymer modification of asphalt. The products of scrap tires, PCB and TPO, were handled using dry SBS polymer modification of asphalt...

journal article 2024

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Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories

Chen, K. (author), Li, Zhibin (author), Liu, Pan (author), Knoop, V.L. (author), Han, Yu (author), Jiao, Y. (author)

A lane-changing (LC) maneuver may cause the follower in the target lane (new follower) to decelerate and give up space, potentially affecting crash risk and traffic flow efficiency. In congested flow, a more aggressive LC maneuver occurs where the lane changer is partially next to the new follower and creates negative gaps, namely negative...

journal article 2024

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Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks

Zhao, Z. (author), Huang, J. (author), Chen, Lydia Y. (author), Roos, S. (author)

Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images using competing generator and discriminator neural networks. Due to data not being centrally available, Multi-Discriminator (MD)-GANs training frameworks employ multiple discriminators that have direct access to the real data....

conference paper 2024

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FedViT: Federated continual learning of vision transformer at edge

Zuo, Xiaojiang (author), Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral part of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge...

journal article 2024

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Plastic particles affect N₂O release via altering core microbial metabolisms in constructed wetlands

Yang, X. (author), Chen, Yi (author), Liu, Tao (author), Zhang, Lu (author), Wang, Hui (author), Chen, Mengli (author), He, Qiang (author), Liu, G. (author), Ju, Feng (author)

Constructed wetlands (CWs) have been proven to effectively immobilize plastic particles. However, little is known about the differences in the impact of varying sized plastic particles on nitrous oxide (N₂O) release, as well as the intervention mechanisms in CWs. Here, we built a lab-scale wetland model and introduced plastic...

journal article 2024

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ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge

Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Executing deep neural networks (DNN) based vision tasks on edge devices encounters challenging scenarios of significant and continually evolving data domains (e.g. background or subpopulation shift). With limited resources, the state-of-the-art domain adaptation (DA) methods either cause high training overheads on large DNN models, or incur...

journal article 2024

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Experimental and numerical investigation on the hydroelastic response of barge and KVLCC2 ship

Xie, Binyang (author), He, Guanghua (author), Zhao, Chuankai (author), Jing, Penglin (author), Pal, S.K. (author), Iijima, Kazuhiro (author), Jin, Ruijia (author), Chen, Bangqi (author), Ghassemi, Hassan (author)

In this paper, the hydroelasticity of two segmented ship models (Barge and KVLCC2) is investigated by experimental and numerical methods. A two-way Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) coupled method is adopted and further validated its accuracy against experimental results. The current approach emphasizes the...

journal article 2024

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Enhancing pseudocapacitive intercalation in Ti₃C₂T _x MXene with molecular crowding electrolytes

Chen, C. (author), de Kogel, Albert (author), Weijers, M.J. (author), Bannenberg, L.J. (author), Wang, Xuehang (author)

The growing demand for safe, cost-efficient, high-energy and high-power electrochemical energy storage devices has stimulated the development of aqueous-based supercapacitors with high capacitance, high rate capability, and high voltage. 2D titanium carbide MXene-based electrodes have shown excellent rate capability in various dilute aqueous...

journal article 2024

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Buckling failure analysis of storage tanks under the synergistic effects of fire and wind loads

Chen, Chao (author), Chen, Hang (author), Mo, Li (author), Xiao, Shenbin (author), Li, Changjun (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)

Fire-induced domino effect is one of the main threats to hazardous material storage tanks, and many attempts have been conducted to assess the vulnerability of storage tanks exposed to fire to evaluate domino effect risk. However, past research ignored the influence of wind load on the thermal buckling behavior of storage tanks exposed to...

journal article 2024

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Matrix-Free Parallel Preconditioned Iterative Solvers for the 2D Helmholtz Equation Discretized with Finite Differences

Chen, J. (author), Dwarka, V.N.S.R. (author), Vuik, Cornelis (author)

We present a matrix-free parallel iterative solver for the Helmholtz equation related to applications in seismic problems and study its parallel performance. We apply Krylov subspace methods, GMRES, Bi-CGSTAB and IDR(s), to solve the linear system obtained from a second-order finite difference discretization. The Complex Shifted Laplace...

conference paper 2024

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PathNet: Path-Selective Point Cloud Denoising

Wei, Zeyong (author), Chen, Honghua (author), Nan, L. (author), Wang, Jun (author), Qin, Jing (author), Wei, Mingqiang (author)

Current point cloud denoising (PCD) models optimize single networks, trying to make their parameters adaptive to each point in a large pool of point clouds. Such a denoising network paradigm neglects that different points are often corrupted by different levels of noise and they may convey different geometric structures. Thus, the intricacy of...

journal article 2024

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Microstructure evolution and micromechanical behavior of solvent-modified Cu–Ag composite sintered joints for power electronics packaging at high temperatures

Wang, Xinyue (author), Chen, Haixue (author), Yang, Zhoudong (author), Liu, Wenting (author), Zeng, Zejun (author), Zhang, Kouchi (author), Zhang, Jing (author), Fan, Jiajie (author), Liu, Pan (author)

With the increased deployment of power modules in demanding conditions, sintering materials, especially composite sintering materials, have raised growing interest due to their cost-effectiveness and suitability. Therefore, this study explores the viability of Cu–Ag composite sintering material, focusing on solvent influence through...

journal article 2024

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Reply to: On the statistical foundation of a recent single molecule FRET benchmark

Götz, Markus (author), Barth, A. (author), Bohr, Søren S.R. (author), Börner, Richard (author), Chen, Jixin (author), Cordes, Thorben (author), de Lannoy, C.V. (author), de Ridder, Dick (author), Schmid, Sonja (author)

journal article 2024

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Integrating hydrologic modeling and satellite remote sensing to assess the performance of sprinkler irrigation

Zheng, Chaolei (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author), Lu, Jing (author), Chen, Qiting (author), Jiang, Min (author), Mancini, Marco (author), Corbari, Chiara (author)

Improving irrigation water management is a key concern for the agricultural sector, and it requires extensive and comprehensive tools that provide a complete knowledge of crop water use and requirements. This study presents a novel methodology to explicitly estimate daily gross and net crop water requirements, actual crop water use, and...

journal article 2024