Results 61 to 70 of about 54,863 (259)

Features of the organization of space-planning solutions for nuclear medicine facilities [PDF]

open access: yesBIO Web of Conferences
The purpose of this article is to determine the typology of the main functional zones for nuclear medicine facilities (NMF) and the formation of principles that affect the architecture of these typological zones.
Balakina Alevtina, Lempl Jury
doaj   +1 more source

Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization [PDF]

open access: yes, 2011
This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show that NMF objective is equivalent to graph clustering objective, so ...
Mirzal, Andri
core  

Dual‐Targeting Cuproptosis and Mitophagy via a Flavopiridol‐Copper Nanoplatform Potentiates Immunotherapy Against Uveal Melanoma

open access: yesAdvanced Science, EarlyView.
This study develops a GSH‐responsive nanoplatform, NP@Fla‐Cu, to co‐activate cuproptosis and excessive mitophagy in uveal melanoma. The nanoplatform enhances tumor‐specific copper delivery, depletes antioxidant defenses, and remodels the tumor immune microenvironment.
Hong Ren   +5 more
wiley   +1 more source

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization. [PDF]

open access: yesPLoS ONE, 2017
Non-negative matrix factorization (NMF) has become a widely used tool for additive parts-based analysis in a wide range of applications. As NMF is a non-convex problem, the quality of the solution will depend on the initialization of the factor matrices.
Nicolas Sauwen   +8 more
doaj   +1 more source

Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model

open access: yesBioMed Research International, 2019
Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical staff ...
Hongling Chen   +4 more
semanticscholar   +1 more source

Loss of VMP1 Impairs Tight Junction Recycling and Aggravates Intestinal Barrier Dysfunction in Inflammatory Bowel Disease

open access: yesAdvanced Science, EarlyView.
This study identifies vacuole membrane protein 1 (VMP1) as a critical regulator of intestinal epithelial barrier homeostasis. VMP1 facilitates the recruitment of CORO1C to late endosomes, supporting Retromer‐mediated recycling of the tight junction protein Occludin.
Jiawei Zhao   +12 more
wiley   +1 more source

Application of spatially related MRF model in NMF hyperspectral unmixing

open access: yesMATEC Web of Conferences, 2018
Aiming at Non-negative Matrix Factorization (NMF)’s problem of initialization and "local minima" in hyperspectral unmixing, a NMF linear unmixing algorithm with spatial correlation constrains (SCNMF) based on Markov Random Field (MRF) was proposed ...
Yuan Bo
doaj   +1 more source

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization [PDF]

open access: yesPeerJ, 2017
Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution.
Xun Zhu   +4 more
doaj   +2 more sources

Hidden Markov models as priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]

open access: yes, 2012
We propose a new method to incorporate rich statistical priors, modeling temporal gain sequences in the solutions of nonnegative matrix factorization (NMF). The proposed method can be used for single-channel source separation (SCSS) applications.
Erdogan, Hakan   +2 more
core  

Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data

open access: yesRemote Sensing, 2019
High-spectral-resolution hyperspectral data are acquired by sensors that gather images from hundreds of narrow and contiguous bands of the electromagnetic spectrum.
M. S. Karoui   +7 more
semanticscholar   +1 more source

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