Electromagnetic time interfaces in wire media: Innovations for subwavelength imaging by Constantin Simovski, Mohammad Sajjad Mirmoosa, Mikhail Sidorenko, Sergei Tretyakov

“…The waves at different frequencies propagate in different directions. …”
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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

“…The ECGNet model achieves 99% accuracy, outperforming the existing methods. These matrices reflected their ability to efficiently classify the five different classes. …”
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Time-Varying Ocean-Like Surface Scattering at Grazing Incidence: Numerical Analysis of Doppler Spectrum at HF/VHF/UHF Bands by Yidong Hou, Biyang Wen, Caijun Wang, Yonghuai Yang

“…The rough surface is transformed into a local perturbation plane which has its roughness flattened at the edges. …”
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Retrieval-augmented generation for educational application: A systematic survey by Zongxi Li, Zijian Wang, Weiming Wang, Kevin Hung, Haoran Xie, Fu Lee Wang

“…We first clarify the definition and workflow of RAG, and following the indexing mechanism of RAG, we introduce different types of retrievers and generation optimization methods. …”
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Hybrid energy storage systems for photovoltaic storage microgrids power allocation and capacity determination based on adaptive Savitzky-Golay filtering and VMD-DTW by Zengqiang Ma, Zejia Zhou, Tianming Mu, Cheng Wen

“…Additionally, a State of Charge (SOC) dynamic transformation model and a full life cycle-based HESS cost model are constructed to quantitatively assess the method’s efficacy and advantages. …”
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Origin centric and part based pose decomposition for 3D human pose estimation by Zhijie Lin, Jinxin Yao, Juan Huang, Jingjing Chen, Yingying Xu, Lu Yang, Lei Zhao, Wei Xing

“…Secondly, we introduce the concept of a human skeleton Origin, which serves as a central hub to reconnect different parts through Skeleton Recombination. The resulting local features, when fused with global features from the Spatial Transformer Encoder, yield more accurate 3D results. …”
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Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition by Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee

“…Although significant progress has been made in developing few-shot learners, existing methods still face several limitations. Firstly, current methods have not sufficiently explored the effectiveness of 3D feature extractors (e.g., 3D CNNs or Video Transformers), thereby failing to exploit spatiotemporal dynamics in videos. …”
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RHO-Associated Coiled-Coil-Containing Protein Kinase Inhibitors Significantly Modulate the Epithelial–Mesenchymal Transition Induced by TGF-β2 in the 2-D and 3-D Cultures of Human... by Araya Umetsu, Yosuke Ida, Tatsuya Sato, Megumi Higashide, Nami Nishikiori, Masato Furuhashi, Hiroshi Ohguro, Megumi Watanabe

“…Both pan-RHO-associated coiled-coil-containing protein kinase inhibitors and RHO-associated coiled-coil-containing protein kinase 2 inhibitors substantially modulated these transforming growth factor beta2-induced effects, albeit in a different manner. …”
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Relay Protection Using Inductive Coils: A Resource-Saving Approach by Vadim Pavlovich Markovskiy, Dauren Dzhambulovich Issabekov, Viktor Yuryevich Mel’Nikov

“…The method of research is comparison of the developed protection with traditional current protections made using traditional measuring current transformers. …”
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The microlearning – from business to education: A promising direction for the development of didactics by V. I. Blinov, I. S. Sergeev, N. F. Rodichev

“…The present research aims to present a scientific approach to assess the possibilities of adapting the accumulated experience of using microlearning in mass educational practice.Methodology and research methods. The current research is based on methodological approaches of foreign and Russian scientists to the problems of digital transformation of education, primarily based on the idea of counter transformation of the educational process and digital tools, cultivation of systematic didactic knowledge. …”
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data by Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu

“…This network leverages a novel boundary-driven point sampling method that preserves more canopy points and mitigates the effects of uneven point density. …”
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Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts by Ricardo Hernández-Pérez, Pablo Lara-Martínez, Bibiana Obregón-Quintana, Larry S. Liebovitch, Lev Guzmán-Vargas

“…We perform a sentence-level sentiment analysis study of different literary texts in English language. Each text is converted into a series in which the data points are the sentiment value of each sentence obtained using the sentiment analysis tool (VADER). …”
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Optimal Midcourse Guidance with Terminal Relaxation and Range Convex Optimization by Jiong Li, Jinlin Zhang, Jikun Ye, Lei Shao, Xiangwei Bu

“…Additionally, a systematic comparison was conducted to evaluate the impact of different interpolation methods and discretization point quantities on algorithm performance.…”
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A Step Towards Real-Time Release Testing of Pharmaceutical Tablets: Utilization of CIELAB Color Space by René Brands, Trieu Nam Le, Jens Bartsch, Markus Thommes

“…Five different formulations were processed, varying in particle size and deformation behavior. …”
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Is social theory losing its relevance? A call for social impact and cocreation from dialogic sociology by Elisabeth Torras-Gómez, Mar Joanpere, Carmen Elboj, Mengna Guo, Esther Oliver, Ane Lopez de Aguileta, Marta Soler-Gallart

“…While excellent research focuses on the social influences of social theory and teaching methods, the research often neglects the link between social theory and contemporary societal needs. …”
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation by Bill Cassidy, Christian McBride, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Shaghayegh Raad, Moi Hoon Yap

“…Our results indicate that the proposed method improved performance when utilising multiple models, each trained on different metadata categories. …”
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Bibliometric Insights Into the Open Education Landscape by Rong Zou, Leilei Jiang, Walton Wider

“…It emphasizes the need for a collaborative, inclusive approach to education, employing open educational resources and methods to fulfill the different needs of learners globally. …”
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Risk assessment and physical hazard detection in elderly living environments using multi-scale infrared and visible imagery fusion by Peng Gao, Naji Alhusaini, Jinjun Liu, Liang Zhao, Yiwen Zhang

“…The model is designed with a channel space dual attention Transformer and a multi-scale adaptive fusion module, which improves the accuracy of hazard detection under different lighting conditions. …”
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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

“…Although numerous empirical models are available, they often fail to generalize across different environmental conditions, leading to inaccurate predictions. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

“…Compared to Mel Frequency Cepstral Coefficient and Discrete wavelet transforms feature extraction techniques hybrid with support vector machine, deep neural network, and centroid-based kth nearest neighbor classifiers, modification-I and modification-II achieve 99.25% and 99.5% accuracy, respectively. …”
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