Results 71 to 80 of about 1,234,026 (278)
On a limit formula for regular iterations
Journal of Mathematical Analysis and Applications, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Farzadfard, Hojjat, Zdun, Marek Cezary
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
The 1 → 3 massive splitting functions from QCD factorization and SCET
Journal of High Energy PhysicsSplitting functions are universal functions describing the collinear dynamics of gauge theories, and as such are crucial ingredients for a wide variety of calculations in perturbative QCD.
Evan Craft +4 more
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Unveiling the limits of precision in iterative MINFLUX
Journal of MicroscopyAbstractIn single‐molecule microscopy, a big question is how precisely we can estimate the location of a single molecule. Our research shows that by using iterative localisation microscopy and factoring in the prior information, we can boost precision and reduce the number of photons needed.
Carlas Smith +2 more
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Computational and theoretical aspects of iterated generating functions [PDF]
, 2013 The thesis offers an investigation into the analysis of so-called iterated generating functions and the schemes that produce them. Beginning with the study of some ad hoc scheme formulations, the notion of an iterated generating function is introduced ...
Clapperton, James Anthony
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RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Classical Entanglement: Parametric Geometry and Non-Parametric Synthesis of Asymptotic Laws
AxiomsThis review develops a unified geometric framework for synthesizing global asymptotic laws, termed classical entanglement. The central tool is the entanglement operator, a Minkowski–La metric blend that couples asymptotic regimes through an index a>1 ...
Simon Gluzman
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GWSWEX v1.0: a dual-solver 1D unsaturated zone model for mass-conservative groundwater recharge and runoff computation in distributed hydrological modelling [PDF]
Geoscientific Model DevelopmentFaithful numerical representation of the coupled groundwater (GW)–unsaturated-zone (UZ)–surface-water (SW) dynamics at regional scales is constrained by the structural extremes currently available: fully three-dimensional Richards-equation solvers ...
V. Kootanoor Sheshadrivasan +1 more
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An Application of Medial Limits to Iterative Functional Equations [PDF]
Results in Mathematics, 2020 AbstractAssume that$$(\Omega ,{\mathcal {A}},P)$$(Ω,A,P)is a probability space,$$f:[0,1]\times \Omega \rightarrow [0,1]$$f:[0,1]×Ω→[0,1]is a function such that$$f(0,\omega )=0$$f(0,ω)=0,$$f(1,\omega )=1$$f(1,ω)=1for every$$\omega \in \Omega $$ω∈Ω,$$g:[0,1]\rightarrow \mathbb R$$g:[0,1]→Ris a bounded function such that$$g(0)=g(1)=0$$g(0)=g(1)=0, and$$a ...
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