Results 91 to 100 of about 388,083 (283)
Tail Conditional Expectation for vector-valued Risks [PDF]
In his paper we introduce a quantile-based risk measure for multivariate financial positions "the vector-valued Tail-conditional-expectation (TCE)". We adopt the framework proposed by Jouini, Meddeb, and Touzi [9] to deal with multi-assets portfolios ...
Imen Bentahar
core
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source
Risk preference based option pricing in a fractional Brownian market [PDF]
We focus on a preference based approach when pricing options in a market driven by fractional Brownian motion. Within this framework we derive formulae for fractional European options using the traditional idea of conditional expectation.
Rostek, Stefan, Schöbel, Rainer
core
Depletion of the RNA‐Editing Enzyme ADAR1 Invigorates the Antitumor Immunity of NK Cells
ADAR1 is upregulated in NK cells from melanoma patients, impairing their function. Its loss enhances NK cell tumor infiltration and cytotoxicity in vitro and in vivo. Mechanistically, ADAR1 deficiency destabilizes CD38 mRNA to reduce its expression, thereby increasing NK cell mobility and killing, which nominates it as a therapeutic target for NK cell ...
Shuhan Chen +11 more
wiley +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Miscible gas injection is one of the most important enhanced oil recovery (EOR) approaches for increasing oil recovery. Due to the massive cost associated with this approach a high degree of accuracy is required for predicting the outcome of the process.
Alomair O. +3 more
doaj +1 more source
Random selection of Borel sets
A theory of random Borel sets is presented, based on dyadic resolutions of compact metric spaces. The conditional expectation of the intersection of two independent random Borel sets is investigated.
Bernd Günther
doaj +1 more source
The senescence of macrophages leads to a decrease in the expression of Sirtuin3 (Sirt3), which in turn aggravates the NLRP3 inflammasome activation and IL‐1β secretion, thereby promoting the aging‐related osteoporosis. Sirt3‐enriched apoptotic bodies (ABs‐Sirt3) generated through genetic editing approaches can alleviate skeletal aging by targeting ...
Yanglin Wu +7 more
wiley +1 more source
Emerging evidence suggests that intraneuronal Aβ accumulation represents an early pathogenic event in Alzheimer's disease (AD). Using Drosophila AD model, this study shows that a nonsecreted serine protease Yip7 physically interacts with Aβ. This causes intraneuronal Aβ accumulation but surprisingly reduces the associated neurotoxicity, arguing that ...
Jingyun Su +4 more
wiley +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source

