22 papers · ranked by Valyu relevance
Nigel Guenole, Anna Brown
We report a Monte Carlo study examining the effects of two strategies for handling measurement non-invariance - modeling and ignoring non-invariant items - on structural regression coefficients between latent variables measured with item response theory models for categorical indicators. These strategies were examined…
Mehdi Pouragha, Gertraud Medicus, Selvarajah Premnath, S. Sivathayalan
Anisotropy in granular materials arises from both the internal fabric and the directionality of the stress state, yet separating these effects experimentally remains challenging. This study develops a first–order linearisation of the incremental stress–strain response that isolates mechanical anisotropy from structural…
Jianhua Sun, Hai Gu, Jie Zhang, Guoqing Dai + 4 more
'Zulei Liang' 'Ana Paula Piedade'] The use of additive manufacturing technology for the lightweight design of complex lattice structures is becoming increasingly popular, but research on lattice structure design and strength evaluation still relies on the visual comparison of stress distributions and lacks quantitative…
Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric H. Xia + 5 more
Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid inter-areal connections…
Yizhi Li, Enlong Liu, Miao He, Luan Carlos de Sena Monteiro Ozelim
To investigate the mechanical properties and constitutive models of structured soil under undrained conditions, triaxial compression tests on initially anisotropic structured soil, isotropic structured soil, and remolded soil were conducted under consolidation undrained conditions at confining pressures of 25, 50, 100…
Sharma, Anand, Liu, Chen + 4 more
Data-driven models can accurately describe and predict the dynamical properties of glass-forming liquids from structural data. Accurate predictions, however, do not guarantee an understanding of the underlying physical phenomena and the key factors that control them. In this paper, we illustrate the merits and…
Aline Kotoski, Najme Soleimani, Sir-Lord Wiafe, Spencer Kinsey + 1 more
Source-based morphometry (SBM) is a powerful multivariate method for identifying covarying structural brain networks. However, standard SBM provides only a single loading value per component for each subject, which limits the characterization of relationships between these components. We propose a novel technical…
Assaf Almog, Erez Shmueli
The concept of “Structural Diversity” of a network refers to the level of dissimilarity between the various agents acting in the system, and it is typically interpreted as the number of connected components in the network. This key property of networks has been studied in multiple settings, including diffusion of ideas…
Zhenghao Wu, Tianhang Zhou
In the realm of multiscale molecular simulations, structure-based coarse graining is a prominent approach for creating efficient coarse-grained (CG) representations of soft matter systems such as polymers. This involves optimizing CG interactions by matching static correlation functions of corresponding degrees of…
Jeffrey A. Walker
Model-averaged partial regression coefficients have been criticized for averaging over a set of models with coefficients that have different meanings from model to model. This criticism arises because statisticians since Fisher believe that the meaning of a coefficient in a regression model arises from probabilistic…
Tyler J. VanderWeele, Stijn Vansteelandt
Factor analysis is often used to assess whether a single univariate latent variable is sufficient to explain most of the covariance among a set of indicators for some underlying construct. When evidence suggests that a single factor is adequate, research often proceeds by using a univariate summary of the indicators in…
Oren Civier, Marion Sourty, Fernando Calamante
We introduce a connectomics metric that integrates information on structural connectivity (SC) from diffusion MRI tractography and functional connectivity (FC) from resting-state functional MRI, at individual subject level. The metric is based on the ability of SC to broadly predict FC using a simple linear predictive…
David Förster, Malte von Scheven
Assessment Authors: ['David Förster' 'Malte von Scheven'] The degree of static indeterminacy and its spatial distribution characterize load-bearing structures independent of a specific load case. The redundancy matrix stores the distribution of the static indeterminacy on its main diagonal, and thereby offers the…
Authors not listed
Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR) spectral images, without relying on prior chemical knowledge. The potential of machine learning for chemical…
Nathan Zhao, Zubaer Hossain
Phosphorene, a puckered 2D allotrope of phosphorus, has shown high carrier mobility and high surface-area to volume ratio allowing for many multifunctional applications. Because of this, phosphorene has seen much interest from industries such as electronics, photonics, biomedics, linear polarizers, and plasmonics. One…
Eli Hanukah, Bella Goldshtein
The development of a nonlinear structural theory (model) for isotropic linear-elastic finite continua is the main objective of the study. To derive the theory, we used Taylor's multivariable expansion and Bubnov-Galerkin's weak formulation. The resulting formulation is consistent with elasticity theory. As a special…
Mario Castro, Rob J. de Boer
Successful mathematical modeling of biological processes relies on the expertise of the modeler to capture the essential mechanisms in the process at hand and on the ability to extract useful information from empirical data. The very structure of the model limits the ability to infer numerical values for the…
Guangchun Zhou, Jun Shi, Maohong Yu, Yu Zhang + 2 more
'Yan Zhao'] Throughout the several-hundred-year-long history of the concept of strength, inaccurate material strength as a result of the size effect and the inconsistency of strength theories have been two continuous and challenging issues, and have even been taken to be inherent attributes of material strength.…
Authors not listed
Learning aqueous solubility remains a key challenge in drug development for improving oral bioavailability. Traditional data-driven solubility estimations using standard supervised models, however, can often suppress the information embedded in a molecule’s chemical properties and the intricate connectivity of its…
Oskar Weser, Björn Hein Hanke, Ricardo Mata
In this work, we present a fully automated method for the construction of chemically meaningful sets of non-redundant internal coordinates (also commonly denoted as Z-matrices) from the cartesian coordinates of a molecular system. Particular focus is placed on avoiding ill-definitions of angles and dihedrals due to…
Yingying Zhang, Miroslav Položij, Thomas Heine
Covalent organic frameworks (COFs) are among the fast-est growing classes of materials with an almost unlimited number of achievable structures, topologies, and func-tionalities. Their exact structure remains, however, un-known to date as reflected by the significant mismatch between experimental powder X-ray…
Authors not listed
This study employs Terahertz Time-Domain Spectroscopy (THz-TDS) to investigate the influence of mechanical forces on the kinetics and mechanisms of spontaneous cocrystallisation of theophylline and malonic acid, providing insights into mechanochemical reactions through a simplified model. A single-punch compaction…