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Marco Battaglieri, Andrea Bianconi, Mariangela Bondí, Raffaella De Vita, Antonino Fulci, Giulia Gosta, Stefano Grazzi, Hyon-Suk Jo, Changhui Lee, Giuseppe Mandaglio, Valerio Mascagna, Tetiana Nagorna, Alessandro Pilloni, Marco Spreafico, Luca J. Tagliapietra, Luca Venturelli and Tommaso Vittorini
The interaction of a high-current O(100 µA), medium energy O(10 GeV) electron beam with a thick target O(1m) produces an overwhelming shower of standard model particles in addition to hypothetical light dark matter particles. While most of the radiation ...
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Yizhi Wang, Jia Liu, Lin Xu, Fuliang Yu and Shanjun Zhang
Streamflow modelling is one of the most important elements for the management of water resources and flood control in the context of future climate change. With the advancement of numerical weather prediction and modern detection technologies, more and m...
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Zeyuan Zhao, Ping Li, Yongjie Dai, Zhaoe Min and Lei Chen
Alzheimer?s disease (AD) is an irreversible neurodegenerative disease. Providing trustworthy AD progression predictions for at-risk individuals contributes to early identification of AD patients and holds significant value in discovering effective treatm...
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Frederick Cropp, Jinhao Ruan, James Santucci, Daniel MacLean, Alex H. Lumpkin, Christopher C. Hall, Jonathan P. Edelen, Alex Murokh, Daniel Broemmelsiek and Pietro Musumeci
The FAST beamline is the injector for the planned Gamma-Ray Electron ENhanced Source (GREENS) program, which aims to achieve the demonstration and first application of a high-efficiency, high-average-power free-electron laser at 515 nm. FAST-GREENS requi...
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Jacques Bezuidenhout, Rikus R. le Roux and Kennedy K. Kilel
Sedimentation can cause numerous problems in rivers, estuaries, harbors, and coastal areas. It is therefore important to trace and model the movement of sediments. The natural physical, chemical, and biological components of the aquatic sediment generall...
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Maxim Saveliev, Maksym Pantin, Igor Skiter, Thomas B. Scott and Peter G. Martin
This work presents the application of a novel evolutional algorithmic approach to determine and reconstruct the specific 3-dimensional source location of gamma-ray emissions within the shelter object, the sarcophagus of reactor Unit 4 of the Chornobyl Nu...
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Marco Mese, Antonio Anastasio, Alfonso Boiano, Vincenzo Masone, Giuseppe Osteria, Francesco Perfetto, Beatrice Panico, Valentina Scotti and Antonio Vanzanella
This contribution describes the acquisition and trigger system for the HEPD-02 calorimeter that will be used onboard the CSES-02 satellite for the CSES/Limadou mission. This mission arises from the collaboration between the Chinese Space Agency (CNSA) an...
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Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li and Xiaoling Hu
Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to a...
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Brandon Khek, Aashwin Mishra, Micah Buuck and Tom Shutt
Diverse phenomena such as positron annihilation in the Milky Way, merging binary neutron stars, and dark matter can be better understood by studying their gamma ray emission. Despite their importance, MeV gamma rays have been poorly explored at sensitivi...
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Emad Arasteh, Ailar Mahdizadeh, Maryam S. Mirian, Soojin Lee and Martin J. McKeown
Parkinson?s disease (PD) is characterized by abnormal brain oscillations that can change rapidly. Tracking neural alternations with high temporal resolution electrophysiological monitoring methods such as EEG can lead to valuable information about altera...
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