Results 51 to 60 of about 211 (100)
Improving independent vector analysis in speech and noise separation tasks [PDF]
Independent vector analysis (IVA) is an efficient multichannel blind source separation method. However, source models conventionally assumed in IVA present some limitations in case of speech and noise separation tasks.
Ramírez López, Ana
core
Stacking Fault Complexions in AgSbTe2 Thermoelectrics With Enhanced Electrical Conductivity
Atomic‐scale characterization resolves stacking fault complexion in AgSbTe2, showing Te and Sb segregation along with lattice dilation. Their enhanced effects on phonon scattering are modeled analytically. Although most defects also impede electron transport, local four‐point‐probe measurements reveal higher electrical conductivity at stacking fault ...
Lamya Abdellaoui +13 more
wiley +1 more source
Large-scale functional magnetic resonance imaging (fMRI) datasets provide exciting opportunities for understanding and improving brain health. Data-driven techniques such as independent component analysis (ICA) and independent vector analysis (IVA) have ...
Lucas Gois +7 more
doaj +1 more source
Using 16,040 stool samples from healthy individuals across 30 Chinese provinces (2016–2024), we performed longitudinal genomic surveillance of carbapenem‑resistant Klebsiella pneumoniae (CRKP) colonizing the gut. We reveal rising community CRKP prevalence, especially in southern China, a shift from blaKPC‐2 to plasmid‑borne blaNDM‐5 on IncHI2/IncHI2A ...
Zelin Yan +11 more
wiley +1 more source
Independent Vector Analysis: Theory, Algorithms, and Applications [PDF]
The field of blind source separation (BSS) is a well studied discipline within the signal processing community due to its applicability to a variety of problems when the data observation model is poorly known or difficult to model.
Anderson, Matthew
core
Auxiliary function based IVA using a source prior exploiting fourth order relationships [PDF]
International audienceIndependent vector analysis (IVA) can theoretically avoid the permutation ambiguity present in frequency domain independent component analysis by using a multivariate source prior to retain the dependency between different frequency
Liang, Yanfeng +5 more
core +3 more sources
Effect of Flow Dynamics on Two‐Phase Flow Patterns in Porous Media
Abstract This study investigates the impact of flow dynamics on liquid‐gas two‐phase flow patterns within a two‐dimensional millifluidic porous medium. Based on high‐fidelity analysis of experimental images and simplified single‐phase flow pore network models (PNM), we examine co‐injection two‐phase flow configurations across varying injection rates ...
Ilan Ben‐Noah +4 more
wiley +1 more source
YPEL3 functions as a tumor suppressor in HNSCC by inhibiting tumor progression and promoting apoptosis. Mechanistically, it enhances epithelial–immune crosstalk through the CREB1‐mediated CXCL16–CXCR6 axis, facilitating CD8+ T‐cell infiltration and highlighting its potential as a prognostic biomarker and immunotherapy target.
Yalun Li +7 more
wiley +1 more source
CNGCs in Marchantia paleacea uncouple arbuscular mycorrhizal symbiosis and rhizoid development
Rhizoid growth and AM fungal infection are uncoupled. Summary In Marchantia paleacea, MpaDMI1‐dependent nuclear Ca2+ oscillations are essential for arbuscular mycorrhizal (AM) fungal colonisation, indicating that endosymbiosis‐mediated nuclear Ca2+ signalling is a conserved feature of land plant–AM symbiosis.
Anson Ho Ching Lam +3 more
wiley +1 more source
Identifying relationships among multiple datasets is an effective way to summarize information and has been growing in importance. In this paper, we propose a robust 3-step method for identifying the relationship structure among multiple datasets based ...
Isabell Lehmann +5 more
doaj +1 more source

