IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction by Ning Liu, Jie Hu, Shunyu Yao, Dan Liu, Mingchuan Yang

“…Besides, we design the syntactic dependency fusion module to model the syntax dependency information by constructing word pair dependency relation tensors and pooling mechanism, which can naturally inject the syntactic dependency knowledge into the general neural networks and reduce error propagation. …”
Get full text

Finite Gradient Models with Enriched RBF-Based Interpolation by Pedro Areias, Rui Melicio, Fernando Carapau, José Carrilho Lopes

“…A two-scale approach is proposed: a least-squares methodology for RVE analysis with quadratic displacements and a full high-order continuum with both fourth-order and sixth-order elasticity tensors. A meshless method is adopted using radial basis function interpolation with polynomial enrichment. …”
Get full text

On the Preferential Concentration of Particles in Turbulent Channel Flow: The Effect of the Added-Mass Factor by Domenico Zaza, Michele Iovieno

“…Resulting in a gradual decorrelation between particle concentration and both the strain-rate and the vorticity tensors, higher values of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula> lead to a more uniform particle distribution, regardless of the Stokes number.…”
Get full text

Developing Society Integrity and Cultural Code by Means of Social and Cultural Activity as Factor of Ensuring National Security by N. S. Bezuglaya

“…The research showed that non-linear interaction of such tensors, as sustainable development, corporate social responsibility, national security, digitalization, technologization of society can seriously affect the processes of diffusion of society integrity, destruction of its cultural code and sovereignty of state as it is. …”
Get full text

Application of Gel Method Ba2TiSi2O8 Ferroelectric Thin Film in Contemporary Handicraft Three-Dimensional Fiber Art Works by Zhe Li

“…The classical methods to detect ferromagnetic permeability tensors mainly include non-resonance method, Faraday rotation method, resonance method, resonance perturbation method, and so on. …”
Get full text

High Dimensional Convolutional Neural Network for EEG Connectivity-Based Diagnosis of ADHD by Majid Mafi, Shokoufeh Radfar

“…Four-dimensional (4D) and six-dimensional (6D) connectivity tensors were composed as model inputs. Two architectures were developed, one 4D and 6D CNN for SL and WC-based diagnosis of ADHD, respectively. …”
Get full text

Stochastic Modelling of ¹³C NMR Spin Relaxation Experiments in Oligosaccharides by Sergio Rampino, Mirco Zerbetto, Antonino Polimeno

“…A framework for the stochastic description of relaxation processes in flexible macromolecules including dissipative effects has been recently introduced, starting from an atomistic view, describing the joint relaxation of internal coordinates and global degrees of freedom, and depending on parameters recoverable from classic force fields (energetics) and medium modelling at the continuum level (friction tensors). The new approach provides a rational context for the interpretation of magnetic resonance relaxation experiments. …”
Get full text

Study of seismotectonic deformations of the Earth’s crust in the Altai-Sayan mountain region. Part I by Naylya A. Sycheva

“…Based on the averaged strain tensors, the distributions of the Lode–Nadai coefficient, angle of generalized plane strain, and vertical component are calculated and plotted. …”
Get full text

Nonstationary Axisymmetric Motion of an Elastic Momentum Semi-Space under Non-Stationary Normal Surface Movements by Tran Le Thai, D.V. Tarlakovskii

“…The components of displacement vectors, rotation angle, stress tensors, and stress moments are related to the potentials by the known relationships. …”
Get full text

Modeling of Seismic Anisotropy Observations Reveals Plausible Lowermost Mantle Flow Directions Beneath Siberia by Neala Creasy, Angelo Pisconti, Maureen D. Long, Christine Thomas

“…We test a range of plausible mechanisms for seismic anisotropy, including a variety of candidate minerals (bridgmanite, post‐perovskite, and ferropericlase), dominant slip systems, and orientations, and consider both single‐crystal elasticity and elastic tensors based on polycrystalline texture modeling. …”
Get full text

Real-Time 3D Object Detection on Crowded Pedestrians by Bin Lu, Qing Li, Yanju Liang

“…To improve computational efficiency, we utilize an attention-based point sampling method to reduce the redundancy of the point clouds, then we obtain new feature tensors by the quantization of the point cloud space and neighborhood fusion in polar coordinates. …”
Get full text

Quantum XYZ Product Codes by Anthony Leverrier, Simon Apers, Christophe Vuillot

“…While we do not prove this result here, we obtain the dimension of a large class of XYZ product codes, and when restricting to codes with dimension 1, we reduce the problem of computing the minimum distance to a more elementary combinatorial problem involving binary 3-tensors. We also discuss in detail some families of XYZ product codes that can be embedded in three dimensions with local interaction. …”
Get full text

Exploring Geometrical, Electronic and Spectroscopic Properties of 2-Nitroimidazole-Based Radiopharmaceuticals via Computational Chemistry Methods by George Crișan, Ștefan Stan, Vasile Chiș

“…Conformational analysis, structural parameters, vibrational IR and Raman properties (within both harmonic and anharmonic approximations), as well as the NMR shielding tensors and spin-spin coupling constants were obtained by density functional theory (DFT) calculations and then correlated with experimental findings, where available. …”
Get full text

Small‐Magnitude Seismic Swarms in Central Utah (US): Interactions of Regional Tectonics, Local Structures and Hydrothermal Systems by G. M. Petersen, K. L. Pankow

“…The swarms show a pronounced heterogeneity in triggering and driving mechanisms, observed in the detailed analysis of exemplary sequences (detections, relocations, moment tensors, waveform‐based clustering, and repeater analysis). …”
Get full text

Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens by JohnMark Taylor, Nikolaus Kriegeskorte

“…Uniquely among existing approaches to this problem, TorchLens has the following features: (1) it exhaustively extracts the results of all intermediate operations, not just those associated with PyTorch module objects, yielding a full record of every step in the model's computational graph, (2) it provides an intuitive visualization of the model's complete computational graph along with metadata about each computational step in a model's forward pass for further analysis, (3) it contains a built-in validation procedure to algorithmically verify the accuracy of all saved hidden-layer activations, and (4) the approach it uses can be automatically applied to any PyTorch model with no modifications, including models with conditional (if–then) logic in their forward pass, recurrent models, branching models where layer outputs are fed into multiple subsequent layers in parallel, and models with internally generated tensors (e.g., injections of noise). Furthermore, using TorchLens requires minimal additional code, making it easy to incorporate into existing pipelines for model development and analysis, and useful as a pedagogical aid when teaching deep learning concepts. …”
Get full text

Direct Fiber Simulation of a Compression Molded Ribbed Structure Made of a Sheet Molding Compound with Randomly Oriented Carbon/Epoxy Prepreg Strands—A Comparison of Predicted Fibe... by Jan Teuwsen, Stephan K. Hohn, Tim A. Osswald

“…X-ray µCT scans of three entire CF-SMC parts are analyzed to compare determined orientation tensors with those coming from a direct fiber simulation (DFS) tool featuring a novel strand generation approach, realistically mimicking the initial ROS charge mesostructure. …”
Get full text

Object-Oriented Deep Learning by Liao, Qianli, Poggio, Tomaso

“…To that end, we propose Object-Oriented Deep Learning, a novel computational paradigm of deep learning that adopts interpretable “objects/symbols” as a basic representational atom instead of N-dimensional tensors (as in traditional “feature-oriented” deep learning). …”
Get full text

Communication complexity of estimating correlations by Hadar, U., Liu, J., Polyanskiy, Yury, Shayevitz, O.

“…Our proof techniques rely on symmetric strong data-processing inequalities and various tensorization techniques from information-theoretic interactive common-randomness extraction. …”
Get full text

The overconvergent de Rham-Witt complex by Davis, Christopher (Christopher James)

Get full text

Feature flow: in-network feature flow estimation for video object detection by Jin, Ruibing, Lin, Guosheng, Wen, Changyun, Wang, Jianliang, Liu, Fayao

“…With this method, they expect the fine-tuned network to produce tensors encoding feature-level motion information. …”
Get full text