Potential Exposure of Aquatic Organisms to Dynamic Visual Cues Originating from Aerial Wind Turbine Blades by Benjamin J. Williamson, Lonneke Goddijn-Murphy, Jason McIlvenny, Alan Youngson

“…In both cases, the propagation of cues across the air–water interface is governed by physical principles but modulated in potentially complex ways by the aspects of the local environment that vary with time. …”
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Permanent Plasma Surface Functionalization of Internal Surface Areas by Dirk Hegemann, Martina Janůšová, Paula Navascués, Lenka Zajíčková, Anne Géraldine Guex

“…Electrospun membranes of poly(ε‐caprolactone) are coated with an oxygen‐functional hydrocarbon layer, deposited in a competitive ablation and plasma polymerization process with CO2 and C2H4 as reactive gases. …”
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Task reliability evaluation method for autonomous intelligent system based on multi-agent approach by Cheng YANG, Hongxiao LIU, Ying WANG, Jingli YANG

“…Objective Aiming at the problem that the task reliability of autonomous intelligent systems is difficult to evaluate accurately due to such characteristics as the decoupling of components, changing systems, and complex fault propagation laws, this paper proposes a multi-agent-based task reliability evaluation method for autonomous intelligent systems. …”
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Models and methods for dynamic response of 3D flexible and rigid pavements to moving loads: A review by representative examples by Edmond V. Muho, Niki D. Beskou, Jiang Qian

“…Analytical/numerical methods have mainly to do with Fourier transforms or complex Fourier series with respect to both space and time. …”
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MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction by Tianyi Ding, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

“…It develops a simulation-driven approach using complex-valued multi-layer perceptrons and convolutional neural networks to efficiently process MRF data, enabling generalization across sequence and acquisition parameters and eliminating the need for extensive in vivo training data. …”
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Analysis of Microstructure and Mechanical Properties of CoCrMo Alloys Processed by Metal Binder Jetting Multi-Step Technique by Alessandro Pellegrini, Fulvio Lavecchia, Maria Grazia Guerra, Luigi Maria Galantucci

“…Metal Binder Jetting (BJT/M) has emerged as a promising additive manufacturing (AM) technology for the realization of complex parts using a wide range of metal alloys. …”
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Urban street network morphology classification through street-block based graph neural networks and multi-model fusion by Yang Liu, Qingsheng Guo, Chuanbang Zheng

“…Experiments on a dataset of 6,700 samples from 12 major U.S. cities demonstrate that our fusion model significantly outperforms traditional methods, achieving a PR AUC of 0.88 ± 0.01, with improvements of 5% to 33% over baseline models, validating its effectiveness in classifying complex urban street networks.…”
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Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification by Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting

“…The graph-structured data is processed through a multi-layer GCN, which effectively aggregates and learns from complex node interrelations to classify the nodes as benign, malignant, or normal. …”
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Construction Method of a Digital-Twin Simulation System for SCARA Robots Based on Modular Communication by Zihan Zhang, Qihui Guo, Maksim A. Grigorev, Ivan Kholodilin

“…Due to the high cost of robots, the algorithm testing cost for physical robots is high, and the construction of motion control programs is complex, with low operation fault tolerance. To address this issue, this paper proposes a low-cost, cross-platform SCARA robot digital-twin simulation system based on the concept of digital twins. …”
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MultiFG: integrating molecular fingerprints and graph embeddings via attention mechanisms for robust drug side effect prediction by Zuhai Hu, Jinxiang Yang, Linghao Ni, Liyuan Zhang, Bin Peng

“…MultiFG incorporates attention-enhanced convolutional networks and utilizes the recently developed Kolmogorov-Arnold Networks (KAN) as the prediction layer to effectively capture complex relationships. …”
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Development and Interfacial Mechanism of Epoxy Soybean Oil-Based Semi-Liquid Gel Materials for Wellbore Sealing Applications by Yuexin Tian, Yintao Liu, Haifeng Dong, Xiangjun Liu, Jinjun Huang

“…These results demonstrate the material’s potential as a high-strength, injectable, and degradable sealing solution for complex subsurface environments.…”
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KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization by Hongbo Chen, Ruohua Zhou, Qingsheng Yuan, Ziye Guo, Wei Fu

“…We then design a novel residual network, KAN-ResNet, which adds a KAN module on top of the traditional fully connected layer. The module combines the B-spline basis function and the traditional activation function Sigmoid Linear Unit (SiLU) to realize the nonlinear mapping of the complex function, which enhance the classification ability of the network for RFF features. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition by Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li

“…Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. Currently, graph convolution networks (GCNs) have been employed in skeleton-based SLR and achieved remarkable performance. …”
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ACUTE GASTRIC DILATATION IN CHILDREN by E. Yu. D'yakonovax, A. S. Bekin, I. V. Poddubniy, A. A. Isaev, O. N. Nakovkin, A. V. Krasavin, A. S. Malashenko

“…Along with the conventional drugs and intensive care measures, the treatment involved a complex of mini-invasive endosurgical and endoscopic manipulations, including laparoscopic jejunostomy, which was performed in order to provide long-term enteral feeding. …”
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A Novel Method for Water Surface Debris Detection Based on YOLOV8 with Polarization Interference Suppression by Yi Chen, Honghui Lin, Lin Xiao, Maolin Zhang, Pingjun Zhang

“…To overcome these imaging challenges in complex aquatic environments, we propose a novel YOLOv8-based detection framework with integrated polarized light suppression mechanisms. …”
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Upgoing and Downgoing Wavefield Separation in Vertical Seismic Profiling Guided by Signal Knowledge Representation by Cai Lu, Liyuan Qu, Jijun Liu, Jianbo Gao

“…The proposed methodology was validated using a homogeneous layer and Marmousi models, demonstrating the effective separation of upgoing and downgoing waves from the VSP seismic records.…”
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Characterization of Shale Pore Structure by Multitechnique Combination and Multifractal Analysis and Its Significance by Dengke Liu, Tao Tian, Ruixiang Liang, Fu Yang, Feng Ye

“…The results show that the objective shale reservoir contains complex pore network, and minor pores dominant the pore system. …”
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Optimization of residual coalbed methane extraction wells and analysis of development and emission reduction benefits in the Songzao mining area by Yaxin Xiu, Qinjie Liu, Qiang Fu, Ke Yang, Miao Zhang, Benniu Wu

“…An evaluation indicator system was established, comprising 3 primary indicators, 13 secondary indicators, and 5 closed coal mines as the scheme layer. This system facilitated accurate quantification of feasibility evaluation weights for CBM extraction under complex geological conditions. …”
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A security data detection and management method in digital library network based on deep learning by Diyin Zhu, Yihang Wei, Jiali Cai, Jingwen Wang, Zhongshan Chen

“…With the rapid growth of data volume in digital library and the increasingly complex network environment, traditional network security measures are no longer able to meet their security needs. …”
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Inter-hemispheric couplings in the middle atmosphere exhibited by principal component analysis of the SD-WACCM-X simulations by Sheng-Yang Gu, YuBo Zeng, Jin Hu, YuSong Qin, Liang Tang, YuXuan Liu

“…We found that the largest temperature anomaly in the summer polar MLT region is associated with a large wind instability area, and a well-developed critical layer structure of QTDW in January. In contrast, during July, despite favorable conditions for QTDW propagation in the Northern Hemisphere, weaker IHC response is observed, suggesting that IHC features and the relationship with QTDWs during July would be more complex than during January.…”
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