Results 31 to 40 of about 28,374 (231)

Iterative resource allocation based on propagation feature of node for identifying the influential nodes

, 2015
The Identification of the influential nodes in networks is one of the most promising domains. In this paper, we present an improved iterative resource allocation (IIRA) method by considering the centrality information of neighbors and the influence of ...
Liu, Jian-Guo, Shang, Ming-Sheng, Zhong, Lin-Feng   +2 more
core   +1 more source

Can point-of-care ultrasound predict the difficulty in intubation? – A prospective observational study

Indian Journal of Anaesthesia
Background and Aims: Airway ultrasonography (USG) parameters have been used to predict difficult tracheal intubation. However, the available literature on this topic is still controversial.
Roopali Phulli, Samarjit Dey, Indubala Maurya, Praveen K. Neema, Habib Md Reazaul Karim, H. N Lohith Kumar   +5 more
doaj   +1 more source

Improved quality metrics for association and reproducibility in chromatin accessibility data using mutual information

BMC Bioinformatics, 2023
Background Correlation metrics are widely utilized in genomics analysis and often implemented with little regard to assumptions of normality, homoscedasticity, and independence of values.
Cullen Roth, Vrinda Venu, Vanessa Job, Nicholas Lubbers, Karissa Y. Sanbonmatsu, Christina R. Steadman, Shawn R. Starkenburg   +6 more
doaj   +1 more source

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions

Dependence Modeling
Kendall’s tau and conditional Kendall’s tau matrices are multivariate (conditional) dependence measures between the components of a random vector. For large dimensions, available estimators are computationally expensive and can be improved by averaging ...
van der Spek Rutger, Derumigny Alexis
doaj   +1 more source

Factor copula models for item response data [PDF]

, 2015
Factor or conditional independence models based on copulas are proposed for multivariate discrete data such as item responses. The factor copula models have interpretations of latent maxima/minima (in comparison with latent means) and can lead to more ...
A. Maydeu-Olivares, A. Maydeu-Olivares, A. Panagiotelis, A.H. Stroud, A.J. McNeil, Aristidis K. Nikoloulopoulos, B. Muthén, C. Genest, D. Bartholomew, D. Kurowicka, E. Chang, E.C. Brechmann, E.L. Lehmann, F. Olsson, H. Hult, H. Joe, H. Joe, H.F. Kaiser, Harry Joe, J. Braeken, J. Braeken, J. Hull, K. Aas, K.G. Jöreskog, L.M. Menezes de, M. Scheier, M. Sklar, P. Krupskii, R. Gibbons, R.P. McDonald   +29 more
core   +1 more source

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

Advanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie, Sina Kheirabadi, Changhao Li, Aneesh Risbud, Aswathy Sebastian, Istvan Albert, Sulin Zhang, Amir Sheikhi   +7 more
wiley   +1 more source

High Dimensional Semiparametric Gaussian Copula Graphical Models

, 2012
In this paper, we propose a semiparametric approach, named nonparanormal skeptic, for efficiently and robustly estimating high dimensional undirected graphical models.
Han, Fang, Lafferty, John, Liu, Han, Wasserman, Larry, Yuan, Ming   +4 more
core   +2 more sources

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Detecting changes in cross-sectional dependence in multivariate time series

, 2014
Classical and more recent tests for detecting distributional changes in multivariate time series often lack power against alternatives that involve changes in the cross-sectional dependence structure.
Bücher, Axel, Kojadinovic, Ivan, Rohmer, Tom, Segers, Johan   +3 more
core   +3 more sources

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source