21 papers · ranked by Valyu relevance
Aron Fink, Christoph König, Andreas Frey
This paper introduces a fully Bayesian approach to multidimensional adaptive testing (MBAT). By incorporating uncertainty in both item and person parameter estimates, MBAT addresses limitations in conventional multidimensional adaptive testing (MAT), which relies on point item and person parameter estimates. A Monte…
Setareh Rahimi, Rebecca Jackson, Seyedeh-Rezvan Farahibozorg, Olaf Hauk
Functional and effective connectivity methods are essential to study the complex information flow in brain networks underlying human cognition. Only recently have connectivity methods begun to emerge that make use of the full multidimensional information contained in patterns of brain activation, rather than univariate…
Boyi Guo, Stephanie C. Hicks
The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve…
Leszek Luchowski, Dariusz Pojda
The article presents an innovative approach to the visualization of multidimensional data, using icons inspired by Chernoff faces. The approach merges classical projection techniques with the assignment of particular data dimensions to mimic features, capitalizing on the natural ability of the human brain to interpret…
Setareh Rahimi, Rebecca Jackson, Olaf Hauk
Investigating task- and stimulus-dependent connectivity is key to understanding how brain regions interact to perform complex cognitive processes. Most existing connectivity analysis methods reduce activity within brain regions to unidimensional measures, resulting in a loss of information. While recent studies have…
Jinfang Wang, Hui Xiao, Xiaojin Liu, Sue Kilpatrick + 2 more
'Chona Hannah'] Getting rid of multidimensional poverty is both the people’s wish and the direction of governance. Based on 2018 China Household Tracking Survey (CFPS) data, this paper identifies household multidimensional poverty in rural areas using a combination of the MPI index and the A-F method. The relationship…
Hui Xiao, Xian Liang, Chen Chen, Fangting Xie + 1 more
Although absolute poverty has been eliminated in rural China, multidimensional poverty has an unstoppable impact on the self-rated health of rural households through multiple dimensions. This study constructed a moderated mediation model with multidimensional poverty as the independent variable to explore the impact on…
Alain Franc
A tensor is a multi-way array that can represent, in addition to a data set, the expression of a joint law or a multivariate function. As such it contains the description of the interactions between the variables corresponding to each of the entries. The rank of a tensor extends to arrays with more than two entries the…
J. Almeida, A. Fracasso, S. Kristensen, D. Valério + 4 more
Understanding how we recognize everyday objects requires unravelling the variables that govern the way we think about objects and the way in which our representations are organized neurally. A major hypothesis is that the organization of object knowledge follows key object-related dimensions, analogously to how sensory…
Mads Jørgensen Hansen
A recent advancement in consciousness science has been the introduction of a multidimensional framework of consciousness. This framework has been applied to global states of consciousness, including psychedelic states and disorders of consciousness, and the consciousness of non-human animals. The multidimensional…
Yismaw Ayelign Mengistu, Bantalem Sinishaw Mekonen, Nega Assefa Aynalem
'Nega Assefa Aynalem'] Background Poverty remained pervasive in affecting households particularly in developing countries like Ethiopia. Purpose The main target of this study was to estimate the multidimensional poverty index of households in Debre Tabor city along with the analysis of determinants of multidimensional…
Liang Zhou, Xinyi Gou, Daniel A. Weiskopf
We introduce continuous indexed points for improved multivariate volume visualization. Indexed points represent linear structures in parallel coordinates and can be used to encode local correlation of multivariate (including multifield, multifaceted, and multiattribute) volume data. First, we perform local linear…
José L. Medina-Franco, Ana L. Chávez-Hernández, Edgar López-López, Fernanda I. Saldívar-González
Technological advances and practical applications of the chemical space concept in drug discovery, natural product research, and other research areas have attracted the scientific community´s attention. The large- and ultra-large chemical spaces are associated not only with the significant increase in the number of…
Authors not listed
The analysis of nonadiabatic molecular dynamics (NAMD) data presents significant challenges due to its high dimensionality and complexity. To address these issues, we introduce ULaMDyn, a Python-based, open-source package designed to automate the unsupervised analysis of large datasets generated by NAMD simulations.…
Robert Jankowski, Antoine Allard, Marián Boguñá, M. Ángeles Serrano
One of the pillars of the geometric approach to networks has been the development of model-based mapping tools that embed real networks in its latent geometry. In particular, the tool Mercator embeds networks into the hyperbolic plane. However, some real networks are better described by the multidimensional formulation…
M. J. Ryan, Gary Glonek, Melissa Humphries, Jono Tuke
In this paper, we propose the use of geodesic distances in conjunction with multivariate distance matrix regression, called geometric-MDMR, as a powerful first step analysis method for manifold-valued data. Manifoldvalued data is appearing more frequently in the literature from analyses of earthquake to analysing brain…
Simon Warchol, Grace Guo, Johannes Knittel, Dan Freeman + 4 more
Dimensionality reduction techniques help analysts make sense of complex, high-dimensional spatial datasets, such as multiplexed tissue imaging, satellite imagery, and astronomical observations, by projecting data attributes into a two-dimensional space. However, these techniques typically abstract away crucial spatial…
Authors not listed
The Polytope Formalism provides a rigorous and unifying mathematical framework for representing all possible molecular configurations and their interrelationships. Extending its application from stereoisomerism to molecular constitution reveals that both arise from a common structural foundation linking discrete and…
Jialin Ouyang, Ming Yuan
Multiway data are becoming more and more common. While there are many approaches to extending principal component analysis (PCA) from usual data matrices to multiway arrays, their conceptual differences from the usual PCA, and the methodological implications of such differences remain largely unknown. This work aims to…
Authors not listed
A directed graph (or digraph) consists of a finite vertex set 𝑉 and a set of ordered edges 𝐸 ⊆ 𝑉 × 𝑉, each edge (𝑢, 𝑣) indicating a one-way connection from 𝑢 (source) to 𝑣 (target). A bidirected graph is a generalization of an undirected graph where each edge is assigned a direction at each of its endpoints…
Authors not listed
MAS-DNP has markedly improved the inherently low sensitivity of NMR, enabling advanced applications such as multidimensional correlation experiments (e.g., 13C -13C , 13C -15N ) at natural isotopic abundance (NA). However, these experiments are frequently hindered by 𝑡1-noise, an artifact resulting from experimental…