Review of Passive Flow Control Methods for Compressor Linear Cascades by Oana Dumitrescu, Emilia-Georgiana Prisăcariu, Valeriu Drăgan

“…Advancements in computational tools, like high-fidelity simulations and optimization techniques, have provided deeper insights into complex flow phenomena, including turbulence and vortex dynamics. …”
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TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction by Qin Li, Bingguang Ou, Yifa Liang, Yong Wang, Xuan Yang, Linchao Li

“…Specifically, we use a social convolutional pooling layer to capture local interaction features between vehicles and a multihead self-attention layer to capture global interaction features between vehicles. …”
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An Improved Deep Learning Model for Electricity Price Forecasting by Rashed Iqbal, Hazlie Mokhlis, Anis Salwa Mohd Khairuddin, Munir Azam Muhammad

“…However, accurate EPF is very challenging due to complex nonlinearity in the time series-based electricity prices. …”
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Evaluation of the Modal Coupling Effect in Midstory Isolation Systems Based on Random Vibration Analysis by Xiao Song, Songtao Xue

“…The coupling effect due to the variability of the location of the isolation layer may amplify the structural seismic response and is required for in-depth analysis. …”
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Rosette Trajectory MRI Reconstruction with Vision Transformers by Muhammed Fikret Yalcinbas, Cengizhan Ozturk, Onur Ozyurt, Uzay E. Emir, Ulas Bagci

“…Introduction: An efficient pipeline for rosette trajectory magnetic resonance imaging reconstruction is proposed, combining the inverse Fourier transform with a vision transformer (ViT) network enhanced with a convolutional layer. This method addresses the challenges of reconstructing high-quality images from non-Cartesian data by leveraging the ViT’s ability to handle complex spatial dependencies without extensive preprocessing. …”
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An Advanced Natural Language Processing Framework for Arabic Named Entity Recognition: A Novel Approach to Handling Morphological Richness and Nested Entities by Saleh Albahli

“…This paper introduces a novel Arabic NER framework that addresses these complexities through architectural innovations. The proposed model incorporates a Hybrid Feature Fusion Layer, which integrates external lexical features using a cross-attention mechanism and a Gated Lexical Unit (GLU) to filter noise, while a Compound Span Representation Layer employs Rotary Positional Encoding (RoPE) and Bidirectional GRUs to enhance the detection of complex entity structures. …”
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TGNet: tensor-based graph convolutional networks for multimodal brain network analysis by Zhaoming Kong, Rong Zhou, Xinwei Luo, Songlin Zhao, Ann B. Ragin, Alex D. Leow, Lifang He

“…However, existing methods often struggle to effectively model the complex structures of multimodal brain networks. In this paper, we propose a novel tensor-based graph convolutional network (TGNet) framework that combines tensor decomposition with multi-layer GCNs to capture both the homogeneity and intricate graph structures of multimodal brain networks. …”
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Microstructure Stitching Technology of Projection Stereolithography Additive Manufacturing by Lv Jing-wei, HUANG Zhi-yuan, KANG Peng, YU Zhong-wei, SHAO Guang-bin

“…The experiment verified the feasibility of the splicing technology and the splicing performance of the optical platform, and provided the necessary theoretical and technical basis for studying the macro-micro integrated additive manufacturing of complex three-dimensional microstructures.…”
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A Target Tracking Method Based on a Pyramid Channel Attention Mechanism by Dongxuan Zhao, Yunsong Li, Jiaxing Li, Xiping Duan, Ning Ma, Yuhe Wang

“…To enhance the tracking performance of transformer-based trackers in complex scenes, we propose a novel visual object tracking method that incorporates three key components: a pyramid channel attention mechanism, a hierarchical cross-attention structure, and an attention-guided multi-layer perceptron. …”
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DPmoire: a tool for constructing accurate machine learning force fields in moiré systems by Jiaxuan Liu, Zhong Fang, Hongming Weng, Quansheng Wu

“…The MLFFs were rigorously validated against standard DFT results, confirming their efficacy in capturing the complex interplay of atomic interactions within these layered materials.…”
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Vegetation and snow effects on soil-atmosphere heat exchange: 2024/25 winter study by Frolov D. M., Seliverstov Y. G., Koshurnikov A. V., Gagarin V. E., Nikolaeva E. S., Sidorova T. A.

“…Observations revealed a complex snow layer structure and temperature profiles throughout December. …”
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Inhibition of corrosion of L 80 alloy in sodium hydroxide solution (pH=12) by succinic acid by Anitha Nilavan, Susai Rajendran

“…When L80 alloy is immersed in NaOH solution , the charge transfer resistance (Rt) increases, impedance increases, phase angle increases and double layer capacitance (Cdl) value decreases . These results suggest that a protective film is formed on the metal surface and probably the protective film consists of Fe 2+ - inhibitor complex (Iron succinate).…”
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The Ontological Multiplicity of Digital Heritage Models: A Case Study of Yunyan Temple, Sichuan Province, China by Jie Tan, Xin Guo, Haijing Huang

“…We present a novel four-layer data integration and service platform architecture designed to manage the complex data relationships arising from this ontological multiplicity. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

“…Abstract Biased, incomplete numerical models are often used for forecasting states of complex dynamical systems by mapping an estimate of a “true” initial state into model phase space, making a forecast, and then mapping back to the “true” space. …”
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Synergistic Effect of Cinnamon (Cinnamomum burmannii) Leaves Extract and Potassium Iodide on Mild Steel in HCl by Rohil, Yeni Stiadi, Emriadi

“…The inhibitor components and the steel surface formed a coordination complex, according to UV-Vis analysis. When CLE was present, a defensive layer formed on the mild steel surface that prevented the corrosive medium from interacting with the metal, as confirmed by XRD analysis. …”
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Neuronal Mesh Reconstruction from Image Stacks Using Implicit Neural Representations by Xiaoqiang Zhu, Yanhua Zhao, Lihua You

“…In this study, we propose a new approach utilizing implicit neural representation to directly extract neuronal isosurfaces from raw image stacks by modeling signed distance functions (SDFs) with multi-layer perceptrons (MLPs). Our method accurately reconstructs the tubular, tree-like topology of neurons in complex spatial configurations, yielding highly precise neuronal membrane surface meshes. …”
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Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition by Feng Lin, Xu Li, Yang Su, Jun Yan

“…This study proposes an improved long short-term memory neural network model for complex time-series water quality data. The model optimizes traditional long short-term memory structures to address the fluidity of water quality data. …”
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MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding by Pengcheng Wu, Keling Fei, Baohong Chen, Lizheng Pan

“…Background: Due to complex signal characteristics and distinct individual differences, the decoding of a motor imagery electroencephalogram (MI-EEG) is limited by the unsatisfactory performance of suboptimal traditional models. …”
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Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System by Huixin Wei, Mingjian Chen, Shibin Wang, Zhiyong Wang, Baopeng Liao, Zehui Lin, Lisha He, Wei He

“…To further explore these interactions, a four-layer finite element (FE) model incorporating a muscle layer is developed, simulating muscle contraction and its influence on skin deformation. …”
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Laser cladding remanufacturing of propeller ZCuAl8Mn13Fe3Ni2 alloy by Pi Ziqiang, Du Kaiping, Chen Xing, Zheng Zhaoran, Wang Chen

“…A comparative study was conducted to analyze the microstructure and properties of the laser cladding layer and the cast alloy. The experimental results revealed that the ZCuAl8Mn13Fe3Ni2 cladding layer primarily consists of a Cu-based face-centered cubic (FCC) solid solution (α phase), a body-centered cubic (BCC) solid solution (β phase), a complex cubic γ2 phase, and an intermetallic κ phase. …”
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