Results 101 to 110 of about 388,083 (283)

Tail Conditional Expectation and Tail Variance for Extended Generalized Skew-Elliptical Distributions

open access: yesMathematics
This study derives explicit expressions for the Tail Conditional Expectation (TCE) and Tail Variance (TV) within the framework of the extended generalized skew-elliptical (EGSE) distribution.
Pin Wang   +3 more
doaj   +1 more source

PAF Triggered Pyroptotic NETosis Aggravates Myocardial Ischemia/Reperfusion Injury

open access: yesAdvanced Science, EarlyView.
Platelet activating factor (PAF) secreted by cardiomyocytes during MI/R, drives NETs formation and subsequent NETosis. PAF/NETosis signaling activation is an initiative and causal factor in driving MI/R injury. This study identifies dapagliflozin as a potent NETosis inhibitor, and demonstrates that manipulating PAF‐NETosis signal by dapagliflozin or ...
Jiawei Wu   +11 more
wiley   +1 more source

Risk Based Capital Allocation [PDF]

open access: yes
The present contribution reviews the procedures (absolute, incremental and marginal capital allocation) as well as the general principles (proportional allocation, covariance-principle, conditional expectation-principle, conditional value-at-risk ...
Albrecht, Peter
core  

Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis

open access: yesAdvanced Science, EarlyView.
This study highlights that radioimmunotherapy drives crosstalk between fibroblasts and immune cells (especially macrophages) in the cardiac microenvironment, with IL‐6 as the key mediator, and tocilizumab alleviates cardiac fibrosis by targeting this interplay.
Yuxi Luo   +10 more
wiley   +1 more source

The best possibility of the bound for the Kantrovich inequality and some remarks

open access: yesJournal of Inequalities and Applications, 1997
The necessary and sufficient condition for equality to be attaind in the Kantrovich inequality is given and applied to an inequality of normal operators on Hilbert spaces.
Takahasi Sin-El, Tsukada M
doaj  

Circular RNA circNrip1 Interacts with SYNCRIP to Promote Neuropathic Pain by Stabilizing Tlr2 mRNA in Primary Sensory Neurons

open access: yesAdvanced Science, EarlyView.
Model of circNrip1 (cNrip1) upregulation driving neuropathic pain mechanisms. After peripheral nerve injury, increased FUS triggers the formation and upregulation of cNrip1 in injured DRG neurons. Upregulated cNrip1 recruits SYNCRIP to the 3′‐UTR of Tlr2 mRNA by binding to both, thereby promoting SYNCRIP‐triggered Tlr2 mRNA stability and increasing ...
Xiaozhou Feng   +14 more
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

open access: yesAdvanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng   +2 more
wiley   +1 more source

Variational Autoencoding with Conditional Iterative Sampling for Missing Data Imputation

open access: yesMathematics
Variational autoencoders (VAEs) are popular for their robust nonlinear representation capabilities and have recently achieved notable advancements in the problem of missing data imputation.
Shenfen Kuang   +3 more
doaj   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

open access: yesAdvanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu   +7 more
wiley   +1 more source

Convexity and Conditional Expectations

open access: yesThe Annals of Probability, 1974
If a $n$-dimensional function is with probability one in a convex set, the same holds true for the conditional expectation (with respect to any sub-$\sigma$-field). An extreme point of this convex set can be assumed by the conditional expectation only if it is assumed by the original function and if this function is partially measurable with respect to
openaire   +3 more sources

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