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Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Yale University, New Haven, CT, USA.
Background: The accumulation of misfolded tau proteins, an Alzheimer's disease (AD) hallmark, starts decades before the emergence of cognitive decline and clinical diagnosis. Autopsy studies support a predictable progression of tau pathology through large-scale systems. However, less is known about the specific progression patterns.
View Article and Find Full Text PDFFault localization for automatic train operation based on the adaptive error locating array algorithm.
Sci Rep
January 2025
School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
When the combinatorial testing method is used to locate faults in the complex signalling system of high-speed rail in order to prevent the system from being affected by combinatorial testing case explosion, which could results from the masking effects caused by multiple faults, the Minimum Fault Schema (MFS) can be accurately and efficiently located. Taking the Automatic Train Operation (ATO) scenario in intelligent high-speed rail as an example, a fault localization method based on the Adaptive Error Locating Array (AELA) algorithm is proposed. To begin with, according to the characteristics of ATO, the adaptive fault localization model is designed and the test parameter table is constructed.
View Article and Find Full Text PDFFull-color dynamic volumetric displays with tunable upconversion emission from RE-doped glasses (RE = Ho, Tm, Nd, Yb) under NIR laser excitation.
Light Sci Appl
January 2025
Yildiz Technical University, Faculty of Chemical and Metallurgical Engineering, Department of Metallurgical and Materials Engineering, Glass Research and Development Laboratory, Istanbul, 34220, Türkiye.
Three-dimensional (3D) imaging technology holds immense potential across various high-tech applications; however, current display technologies are hindered by limitations such as restricted viewing angles, cumbersome headgear, and limited multi-user accessibility. To address these challenges, researchers are actively exploring new materials and techniques for 3D imaging. Laser-based volumetric displays (VDs) offer a promising solution; nonetheless, existing screen materials fall short in meeting key requirements for long-term durability, full-color operation, and scalability.
View Article and Find Full Text PDFA spatio-temporal graph wavelet neural network (ST-GWNN) for association mining in timely social media data.
Sci Rep
December 2024
Henan University of Engineering, Zhengzhou, 451191, China.
Social media generates vast amounts of spatio-temporal sequential data. However, current methods often ignore the complex spatio-temporal correlations within these data. This oversight makes it difficult to fully capture the dynamic features of the data.
View Article and Find Full Text PDFCustomer churn prediction model based on hybrid neural networks.
Sci Rep
December 2024
College of Computer Science and Engineering, Guangxi Normal University, Guilin, 541000, China.
In today's competitive market environment, accurately identifying potential churn customers and taking effective retention measures are crucial for improving customer retention and ensuring the sustainable development of an organization. However, traditional machine learning algorithms and single deep learning models have limitations in extracting complex nonlinear and time-series features, resulting in unsatisfactory prediction results. To address this problem, this study proposes a hybrid neural network-based customer churn prediction model, CCP-Net.
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