Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols by Alkinoos Athanasiou, Chrysa Lithari, Konstantina Kalogianni, Manousos A. Klados, Panagiotis D. Bamidis

“…Sensorimotor cortex is activated similarly during motor execution and motor imagery. The study of functional connectivity networks (FCNs) aims at successfully modeling the dynamics of information flow between cortical areas. …”
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A fluorescence-enhanced inverse opal sensing film for multi-sources detection of formaldehyde by Xiaokang Lu, Bo Han, Deyilei Wei, Mingzhu Chu, Haojie Ma, Ran Li, Xueyan Hou, Yuqi Zhang, Jijiang Wang

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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

“…However, ground-based astronomical images exhibit spatially varying sky backgrounds and point spread functions (PSFs), and accounting for this variation is essential for constructing accurate catalogs of imaged light sources. …”
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Image Deconvolution to Resolve Astronomical X-Ray Sources in Close Proximity: The <i>NuSTAR</i> Images of SXP 15.3 and SXP 305 by Sayantan Bhattacharya, Dimitris M. Christodoulou, Silas G. T. Laycock

“…The broad point spread function of the <i>NuSTAR</i> telescope makes resolving astronomical X-ray sources a challenging task, especially for off-axis observations. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…Based on the fault source detection results, corresponding compensation mechanisms were adopted to achieve robust continuous localization.…”
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How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

“…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. The results show that direct interpretation of backward model outputs or more advanced analyses like potential source contribution functions (PSCFs) are often unreliable in identifying emission sources. …”
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The 4–400 GHz Survey for the 32 Class II Disks in the Taurus Molecular Cloud by Chia-Ying Chung, An-Li Tsai, Melvyn Wright, Wenrui Xu, Feng Long, Mark A. Gurwell, Hauyu Baobab Liu

“…The spectra at >20 GHz frequency can be described with a piecewise function: (1) a power law with a spectral index of ∼2 at >200 GHz, (2) a power law with a spectral index in the range of 0.3–4.2 at 20–50 GHz, and (3) a transition region in between these two power laws, which can be characterized by a sigmoid function. …”
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