Results 151 to 160 of about 7,174 (250)
UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization. [PDF]
Nat Commun, 2022 Kriebel AR, Welch JD.
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The Huang–Yang Formula for the Low‐Density Fermi Gas: Upper Bound
Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1919-1972, August 2026.ABSTRACT We study the ground state energy of a gas of spin 1/2$1/2$ fermions with repulsive short‐range interactions. We derive an upper bound that agrees, at low density ϱ$\varrho$, with the Huang–Yang conjecture. The latter captures the first three terms in an asymptotic low‐density expansion, and in particular the Huang–Yang correction term of order
Emanuela L. Giacomelli +3 more
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NMR in Biomedicine, Volume 39, Issue 8, August 2026.Ultrashort and zero echo time (UTE and ZTE) MRI techniques generate functional contrast through inflow effects, making them suitable for studying cerebral blood flow and cerebrospinal fluid (CSF) dynamics. In a 7‐T study of 13 participants performing a visual task, we demonstrate that UTE produced robust, reproducible activations with group‐level ...
Sara Ponticorvo +7 more
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Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma. [PDF]
Cancer Med, 2021 Wang H, Wang X, Xu L, Cao H, Zhang J.
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International Journal of Robust and Nonlinear Control, Volume 36, Issue 10, Page 5619-5634, 10 July 2026.ABSTRACT In this paper, we consider the optimal control problem for an unknown continuous‐time nonlinear system, and present a framework that integrates model‐based and model‐free methods to solve it. Each approach offers distinct advantages: model‐based techniques provide offline synthesis and data efficiency, while model‐free procedures excel at ...
Surabhi Athalye +2 more
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Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1828-1844, 25 July 2026.ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
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Journal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
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Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
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Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements. [PDF]
BMC Med Inform Decis Mak, 2021 Ding M, Luo Y.
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Forecasting House Prices: The Role of Market Interconnectedness
Journal of Forecasting, Volume 45, Issue 4, Page 1847-1877, July 2026.ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
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