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High Clinical and Genetic Similarity Between Chronic Pancreatitis Associated With Light-to-Moderate Alcohol Consumption and Classical Alcoholic Chronic Pancreatitis
Published 2023-01-01“…CP was classified as classical alcoholic CP (ACP; n = 206), LMA-CP (n = 154), and idiopathic CP (ICP; n = 701). …”
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Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Published 2018-08-01“…Classical and quantum information patterns of the target datasets therefore provide principled guidelines for structural design and learning in these two approaches. …”
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FCN-Based 3D Reconstruction with Multi-Source Photometric Stereo
Published 2020-04-01“…The experimental results show that our method has a good effect on solving the main problems faced by the classical method.…”
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Machine learning holographic mapping by neural network renormalization group
Published 2020-06-01“…Exact holographic mapping (EHM) provides an explicit duality map between a conformal field theory (CFT) configuration and a massive field propagating on an emergent classical geometry. However, designing the optimal holographic mapping is challenging. …”
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Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings
Published 2023-02-01“…Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. …”
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Importance of realistic zonal currents in depicting the evolution of tropical central Pacific sea surface temperature
Published 2023-01-01“…Classical El Niño–Southern Oscillation (ENSO) theories mainly consider the vertical process-related Ekman and thermocline feedbacks. …”
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Analyzation of the Peripheral Blood Mononuclear Cells Atlas and Cell Communication of Rheumatoid Arthritis Patients Based on Single-Cell RNA-Seq
Published 2023-01-01“…Meanwhile, we propose that classic monocytes in peripheral blood may migrate to sites of inflammation in synovial tissue under the chemotaxis of the chemokines CCL3 and CCL3L1, differentiate into macrophages, secrete proinflammatory cytokines, and thus participate in the inflammatory response. …”
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A Short Text Classification Method Based on Convolutional Neural Network and Semantic Extension
Published 2020-12-01“…Finally, the feature extraction of short text is carried out by means of the classical convolutional neural network. The experimental results show that the proposed method is feasible during the classification task of short text, and the classification effectiveness is significantly improved.…”
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An analytical approach to global buckling of ring-stiffened sandwich cylindrical shells
Published 2022-11-01“…The strain energies of the inner and outer shells and the ribs and the work done by external forces are derived with the help of classical laminate theory. Furthermore, the Rayleigh–Ritz method is employed to obtain the critical buckling load of ring-stiffened sandwich cylindrical shells. …”
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Machine Learning Analysis of Raman Spectra of MoS<sub>2</sub>
Published 2020-11-01“…The successful application for classification and analysis highlights the potential for implementing machine learning to tap the depth of classical methods in 2D materials research.…”
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A Stereo Dual-Channel Dynamic Programming Algorithm for UAV Image Stitching
Published 2017-09-01“…Our algorithm overcomes the theoretical limitation of the classical Duplaquet algorithm. Experiments show that the algorithm can effectively solve the dislocation problem in UAV image stitching, especially for the cases in dense urban areas. …”
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Dynamic Uncertainty Quantification and Risk Prediction Based on the Grey Mathematics and Outcrossing Theory
Published 2022-05-01“…Additionally, according to the first-passage idea from classical random process theory, the study on the time-dependent reliability measurement on the basis of the interval process model is carried out to achieve a more elaborate estimation for structural safety during its whole life cycle. …”
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Variational quantum eigensolver with fewer qubits
Published 2019-09-01“…To demonstrate the feasibility of the qubit efficient variational quantum eigensolver in a practical setting, we perform first-principles classical simulation of differentiable programming of the circuits. …”
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Sports Risk Prediction Model Based on Automatic Encoder and Convolutional Neural Network
Published 2023-07-01“…In view of the limitations of traditional statistical methods in dealing with multifactor and nonlinear data and the inadequacy of classical machine learning algorithms in dealing with and predicting data with high dimensions and large sample sizes, this paper proposes an operational risk prediction model based on an automatic encoder and convolutional neural networks. …”
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A unified droop control of AC microgrids under different line impedances: Revisiting droop control and virtual impedance method
Published 2023-04-01“…Classical droop control and virtual impedance methods play crucial roles in improving the system voltage/frequency stability and autonomous power control. …”
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Inverse design for material anisotropy and its application for a compact X-cut TFLN on-chip wavelength demultiplexer
Published 2023-12-01“…By benchmarking the device performances of our method with those of classical scalar-based inverse design, we demonstrate that this method properly addresses the critical issue of material anisotropy in the X-cut TFLN platform. …”
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Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies
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Lateral plate mesoderm cell-based organoid system for NK cell regeneration from human pluripotent stem cells
Published 2022-11-01“…The iNK cells highly express classical toxic granule proteins, apoptosis-inducing ligands, as well as abundant activating and inhibitory receptors. …”
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Capturing critical gem-diol intermediates and hydride transfer for anodic hydrogen production from 5-hydroxymethylfurfural
Published 2023-12-01“…Abstract The non-classical anodic H2 production from 5-hydroxymethylfurfural (HMF) is very appealing for energy-saving H2 production with value-added chemical conversion due to the low working potential (~0.1 V vs RHE). …”
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