Results 21 to 30 of about 2,168 (155)
Flow Cytometry: Advances, Challenges and Trends
Recent advances in flow cytometry span hardware, data processing, and AI‐driven analytics. Emerging modalitiesincluding spectral, imaging, mass, and nano/EV cytometryenable higher‐parameter and small‐particle detection. Integrated machine learning drives a shift from manual gating toward automated multi‐omics workflows.
J. Paul Robinson +2 more
wiley +1 more source
The sloppy model universality class and the Vandermonde matrix
In a variety of contexts, physicists study complex, nonlinear models with many unknown or tunable parameters to explain experimental data. We explain why such systems so often are sloppy; the system behavior depends only on a few `stiff' combinations of ...
C. Lanczos +13 more
core +1 more source
Voltage inconsistency is one of the important factors that cause safety problems in power batteries. Therefore, based on electric vehicle operation data from the automotive enterprise monitoring platform, this paper builds upon the Principal Component Analysis (PCA) method and incorporates Discrete Wavelet Transform (DWT) characterized by possesses ...
FengWu Shan +7 more
wiley +1 more source
Comparison cones for multiparameter eigenvalue problems
AbstractWe consider the multiparameter eigenvalue problem (Tr + ∑s = 1k λs Vrs) xr = 0, xr ≠ 0, 1 ⩽ r ⩽ k, where Tr and Vrs are self-adjoint linear operators on Hilbert spaces Hr, the Vrs being bounded. The problem may be posed in either ⊕r = 1k Hr or ⊕r = 1k Hr and we develop variational approaches for both settings.
Binding, Paul, Browne, Patrick J
openaire +1 more source
Coarse Stability and Bifurcation Analysis Using Stochastic Simulators: Kinetic Monte Carlo Examples
We implement a computer-assisted approach that, under appropriate conditions, allows the bifurcation analysis of the coarse dynamic behavior of microscopic simulators without requiring the explicit derivation of closed macroscopic equations for this ...
Kevrekidis, Ioannis G. +2 more
core +1 more source
ABSTRACT Eigenvalue and eigenvector sensitivities with respect to design parameters are crucial for advancing design, optimization, and uncertainty quantification in structural systems. This paper introduces a novel, efficient, and general numerical method for computing arbitrary‐order sensitivities of eigenpairs in self‐adjoint undamped and ...
Juan C. Velasquez‐Gonzalez +4 more
wiley +1 more source
On the structure of commutative matrices. II [PDF]
A finite set A of N × N nilpotent commutative matrices that have one-dimensional joint kernel is considered. The theorem (due to Suprunenko and Tyshkevich) that the algebra A generated by A and the identity matrix has dimension equal to N is proved.
Košir, Tomaž
core +5 more sources
Lost in Translation: Harmonizing Terminology and Defining Mathematical Tools for Panel Optimization
ABSTRACT Spectral flow cytometry has evolved from a contentious idea into a mainstay of high‐parameter single‐cell analysis, yet its vocabulary (and the statistical reasoning behind it) remains a patchwork of overlapping, sometimes contradictory terms.
Bartek Rajwa, Mario Roederer
wiley +1 more source
Functional Diversity of Neotropical Aquatic Hyphomycetes: Insights Into Environmental Drivers
Subtropical streams host diverse hyphomycete assemblages than tropical one's. Larger saprotrophs with diverse conidia shapes dominate in subtropical areas. Cold and oxygenated waters have a positive effect on functional diversity. Poor litter in tropical favored the dominance of wood saprotrophs and endophytes.
Renan de Souza Rezende +6 more
wiley +1 more source
Denjoy-Carleman differentiable perturbation of polynomials and unbounded operators
Let $t\mapsto A(t)$ for $t\in T$ be a $C^M$-mapping with values unbounded operators with compact resolvents and common domain of definition which are self-adjoint or normal.
A. Frölicher +20 more
core +4 more sources

