Results 131 to 140 of about 1,874,752 (330)

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

On the nonlinear Schrödinger equation with critical source term: global well-posedness, scattering and finite time blowup

AIMS Mathematics
This study explored the time asymptotic behavior of the Schrödinger equation with an inhomogeneous energy-critical nonlinearity. The approach follows the concentration-compactness method due to Kenig and Merle.
Saleh Almuthaybiri, Radhia Ghanmi , Tarek Saanouni   +2 more
doaj   +1 more source

Compile-time and instruction-set methods for improving floating- to fixed-point conversion accuracy [PDF]

, 2008
Tor M. Aamodt, Paul Chow
openalex   +1 more source

The secant method and fixed points of nonlinear operators

Monatshefte f�r Mathematik, 1988
Our results answer the following question: given that a mapping has a fixed point, when is it true that the Secant iterates produce a sequence of nearby points which converge to the fixed point? We assume only that the nonlinear operator has a Holder continuous Frechet-derivative at the fixed point.
openaire   +2 more sources

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

Molecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang, Anna Schritz, Nikolai Goncharenko, Guy Berchem   +3 more
wiley   +1 more source

A NEW HYBRID-EXTRAGRADIENT METHOD FOR GENERALIZED MIXED EQUILIBRIUM PROBLEMS, FIXED POINT PROBLEMS AND VARIATIONAL INEQUALITY PROBLEMS [PDF]

, 2008
Jian-Wen Peng, Jen‐Chih Yao
openalex   +1 more source

A new method in fixed point theory [PDF]

Bulletin of the American Mathematical Society, 1959
openaire   +4 more sources

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

Optimal investment game for two regulated players with regime switching

AIMS Mathematics
This paper investigated a zero-sum stochastic investment game for two investors in a regime-switching market with common random time solvency regulations.
Lin Xu, Linlin Wang, Hao Wang, Liming Zhang   +3 more
doaj   +1 more source

Fixed Point Diffusion Models [PDF]

arXiv
We introduce the Fixed Point Diffusion Model (FPDM), a novel approach to image generation that integrates the concept of fixed point solving into the framework of diffusion-based generative modeling. Our approach embeds an implicit fixed point solving layer into the denoising network of a diffusion model, transforming the diffusion process into a ...
arxiv