Dual-Path Beat Tracking: Combining Temporal Convolutional Networks and Transformers in Parallel by Nikhil Thapa, Joonwhoan Lee

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Semantic Segmentation of Unmanned Driving Scene Based on Spatial Channel Dual Attention by WANGXiaoyu, LINPeng

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Perturbative analysis of Casimir wormholes with generalized uncertainty principle corrections in matter-geometry coupled gravity by Zinnat Hassan, Saddam Hossain, Satyendra Nath Barman, P. K. Sahoo

“…Furthermore, we examine the light deflection angle associated with the wormhole geometry, providing additional insights into its observational features. Our results suggest that, under appropriate conditions, Casimir wormholes can theoretically exist as stable and traversable structures within this modified gravity framework.…”
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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

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Comparison of the First Three Waves of the COVID-19 Pandemic in Russia in 2020–21 by L. S. Karpova, K. A. Stolyarov, N. M. Popovtseva, T. P. Stolyarova, D. M. Danilenko

“…Compare the intensity of three waves of the COVID-19 pandemic in Russia. To identify the features of the parameters of the COVID-19 pandemic in Russia in the age groups of the population and in the federal districts. …”
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Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteri... by Zhongyue Zhang, Huixing Zhou, Shun Wang, Chongwen Xu, Yannan Lv

“…This paper mainly presents two parts of innovations: (1) for planning of scanning, the novel TLS features planning sampling density of scanning according to room size and converting scanning data from poses to point clouds, and (2) for processing of point clouds, this paper proposes two novel segmentation algorithms, namely, “on-boundary segmentation algorithm” and “on-angular-distance segmentation algorithm,” based on indoor spatial structure features and characteristics of TLS. …”
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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

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Differences in the Clinical and Hematological Characteristics of COVID-19 Patients with and without Type 2 Diabetes by Yujing Sun, Ruxing Zhao, Zhao Hu, Weili Wang, Shouyu Wang, Ling Gao, Jianchun Fei, Xiangdong Jian, Yu Li, Huizhen Zheng, Xinguo Hou, Li Chen

“…COVID-19 patients comorbid with T2D demonstrated distinguishing clinical features and hematological parameters during the infection. …”
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A Hybrid Framework for Referring Image Segmentation: Dual-Decoder Model with SAM Complementation by Haoyuan Chen, Sihang Zhou, Kuan Li, Jianping Yin, Jian Huang

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Sulfur-Fumigated Ginger Identification Method Based on Meta-Learning for Different Devices by Tianshu Wang, Jiawang He, Hui Yan, Kongfa Hu, Xichen Yang, Xia Zhang, Jinao Duan

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Understanding the Effect of Chiral NN Parametrization on Nuclear Shapes From an Ab Initio Perspective by Becker Kevin S., Launey Kristina D., Ekström Andreas, Sargsyan Grigor H., Mumma Darin C., Dytrych Tomáš, Langr Daniel, Draayer Jerry P.

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Presenting a prediction model for HELLP syndrome through data mining by Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori

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Strong coupling theory of superconductivity and ferroelectric quantum criticality in metallic SrTiO3 by Sudip Kumar Saha, M. N. Gastiasoro, Jonathan Ruhman, Avraham Klein

“…We demonstrate that the linear coupling is sufficient to obtain a rough approximation of the experimentally measured phase diagram, but that nonlinear coupling terms are crucial in reproducing the finer features in the ordered phase. The primary role of nonlinear terms at the peak of the superconducting dome is to enhance the effective linear coupling induced by the broken order, shifting the dome’s maximum into the ordered phase. …”
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A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes by Yu Peng, Erchao Li

“…Additionally, a dual population coding method inspired by evolutionary computation is proposed, enabling the coevolution of network parameters and structure. …”
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Method for automatic antenna matching with transmitter output stage by D. A. Kovalevich

“…Acomparative analysis of the features of both the known methods of automatic tuning and the newly proposed one ismade.…”
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First Estimations of Geomagnetically Induced Currents in the South of Portugal by Joana Alves Ribeiro, Fernando J. G. Pinheiro, Maria Alexandra Pais

“…Magnetotelluric impedance tensors used to compute the induced electric field are obtained using a conductivity model that takes into account general features of the local lithology and the proximity to the sea. …”
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Modelling and Simulation of Surface Diffusion in Heterogeneous Porous Materials by Sean P. Rigby

“…It has been seen that the Galilean idealisation of atomistic models has rendered them sufficiently tractable in order to study the impact of certain surface features, such as traps or ruts, on surface diffusion. …”
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Thyroid-like follicular carcinoma of kidney by Chandranshu Tripathi, Naveen Kumar Gupta, Dilip Kumar Pal

“…In our case, a 62-year-male patient presented with flank pain with all blood parameters in normal range. Chest X-ray were normal, contrast enhanced computed tomography report showed well defined hyperdense lesion of size 26 mm × 21 mm showing homogenous enhancement (hu 46–126 from pre to post contrast) noted in lower pole of right kidney. …”
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Bearing Fault Diagnosis Based on IPOA-VMD and SSA-HKELM by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei, Hua Li, Xiaodong Liu

“…Subsequently, the KSD values of the IMFs are calculated to identify the optimal IMF components, with their Multi-scale Range Entropy (MRE) computed as a distinguishing feature. Lastly, the HKELM, enhanced through SSA optimization, is employed for the training and classification of rolling bearing faults, with the reliability and efficacy of the proposed methodology validated through simulation and empirical data.…”
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Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer by Hisashi Mamiya, Toru Tochigi, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Tetsuro Maruyama, Yoshihiro Kurata, Yumiko Takahashi, Atsushi Hirata, Hisahiro Matsubara

“…Abstract Background Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC). …”
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