Results 61 to 70 of about 12,326,596 (323)
Optical integration of a real-valued function by measurement of a Stokes Parameter
We experimentally implement an optical algorithm for integration of a real-valued bivariate func- tion. A user-defined function is encoded in the position-dependent phase of one of the polarization components of an optical beam.
Lemos, Gabriela Barreto +2 more
core +1 more source
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley +1 more source
Bivariate Pareto–Feller Distribution Based on Appell Hypergeometric Function
The Pareto–Feller distribution has been widely used across various disciplines to model “heavy-tailed” phenomena, where extreme events such as high incomes or large losses are of interest.
Christian Caamaño-Carrillo +3 more
doaj +1 more source
Bivariate functions of bounded variation: Fractal dimension and fractional integral [PDF]
In contrast to the univariate case, several definitions are available for the notion of bounded variation for a bivariate function. This article is an attempt to study the Hausdorff dimension and box dimension of the graph of a continuous function ...
S. Verma, P. Viswanathan
semanticscholar +1 more source
BIVARIATE FRACTAL INTERPOLATION FUNCTIONS ON GRIDS
In this paper, a method of construction of fractal interpolation functions (FIF) on random grids in ℝ2 is examined.
openaire +2 more sources
Early Radiation Therapy Response Assessment Using Multi‐Scale Photoacoustic Imaging
Tomographic and mesoscopic photoacoustics capture intratumoural features of radioresistance and response. ABSTRACT There is a critical unmet clinical need to identify biomarkers that predict and detect radiation therapy (RT) response in cancer. Using the unique capabilities of multi‐scale photoacoustic imaging (PAI) to depict tumor oxygenation and ...
Thierry L. Lefebvre +12 more
wiley +1 more source
The bivariate H-function distribution
A general bivariate density defined in terms of a H-function of two variables is presented in this article along with its cumulative distribution, marginal densities and some properties. Some special cases leading to bivariate gamma and bivariate beta are illustrated with some contour plots.
Kellogg, S. D., Barnes, J. W.
openaire +1 more source
β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto +20 more
wiley +1 more source
Learning Bivariate Functional Causal Models [PDF]
Finding the causal direction in the cause-effect pair problem has been addressed in the literature by comparing two alternative generative models X → Y and Y → X. In this chapter, we first define what is meant by generative modeling and what are the main assumptions usually invoked in the literature in this bivariate setting.
Goudet, Olivier +3 more
openaire +1 more source
Integrated multi‐omic profiling maps the gene‐regulatory landscape of the coelomic mesothelium across heart, lung, and pancreas. A cardiac‐restricted regulatory program is uncovered in which TBX20 activates heart mesothelial (epicardial) cis‐regulatory elements, while MAF emerges as a conserved regulator of mesothelial identity.
Quang Minh Dang +3 more
wiley +1 more source

