Results 51 to 60 of about 1,708,415 (229)

On the effect of the perturbation of a nonnegative matrix on its Perron eigenvector [PDF]

open access: yes, 1982
Elsner L, Johnson CR, Neumann MM. On the effect of the perturbation of a nonnegative matrix on its Perron eigenvector. Czechoslovak Mathematical Journal.
Elsner, Ludwig F.   +5 more
core   +1 more source

Plasma Proteomics Identifies Molecular Signatures and Biomarkers Associated With High Structural Damage in Ankylosing Spondylitis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Pathologic bone formation in ankylosing spondylitis (AS) is not fully reflected by systemic inflammation, limiting the utility of markers of inflammation for structural damage assessment. This study aimed to identify plasma protein signatures associated with structural damage severity in AS.
Tiantian Sun   +9 more
wiley   +1 more source

GlycoMAC: A Multiscale Metabolic‐Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng   +3 more
wiley   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia   +1 more
wiley   +1 more source

Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization

open access: yesRemote Sensing, 2023
Nonnegative matrix factorization (NMF) and its numerous variants have been extensively studied and used in hyperspectral unmixing (HU). With the aid of the designed deep structure, deep NMF-based methods demonstrate advantages in exploring the ...
Risheng Huang   +4 more
doaj   +1 more source

The Joint Effect of Buyer Quantitative and Qualitative Information Disclosure on Suppliers' Green Innovation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Firms' strategic decision‐making relies not only on their own information but also on that disclosed by supply chain partners. While research recognizes buyers' importance in green innovation, the impact of their information disclosure remains underdeveloped. Drawing on the extended resource‐based view, this study investigates the joint effect
Yang Yang, Yan Jiang
wiley   +1 more source

Stretched non-negative matrix factorization

open access: yesnpj Computational Materials
A novel algorithm, stretchedNMF, is introduced for non-negative matrix factorization (NMF), accounting for signal stretching along the independent variable’s axis.
Ran Gu   +11 more
doaj   +1 more source

A new Approach for Building Recommender System Using Non-Negative Matrix Factorization Method

open access: yesپژوهش‌های ریاضی, 2021
Nonnegative Matrix Factorization is a new approach to reduce data dimensions. In this method, by applying the nonnegativity of the matrix data, the matrix is ​​decomposed into components that are more interrelated and divide the data into sections where ...
nushin shahrokhi, somayeh arabi narie
doaj  

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source

Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target

open access: yes, 2013
Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix ...
Mark Lutman   +7 more
core   +1 more source

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