Results 51 to 60 of about 2,065,536 (277)
An Information-Theoretic Measure of Uncertainty due to Quantum and Thermal Fluctuations
, 1993 We study an information-theoretic measure of uncertainty for quantum systems. It is the Shannon information $I$ of the phase space probability distribution $\la z | \rho | z \ra $, where $|z \ra $ are coherent states, and $\rho$ is the density matrix ...
A. Anderson +31 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda +15 more
wiley +1 more source
Uncertainty Interpretation of the Machine Learning Survival Model Predictions
IEEE Access, 2021 A method for interpreting uncertainty of predictions provided by machine learning survival models is proposed. It is called UncSurvEx and aims to determine which features of an analyzed example lead to uncertain predictions of an explainable black-box ...
Lev V. Utkin +5 more
doaj +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
IEEE AccessWe enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang +3 more
doaj +1 more source
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
, 2016 Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation environments. Such scenarios can be improved if quality predictions are accompanied by a measure of uncertainty.
Beck, Daniel +2 more
core +1 more source
Mechanisms of IgE‐mediated food allergy and the role of allergen‐specific B cells
FEBS Letters, EarlyView.Food allergy arises when allergen‐specific B cells preferentially produce immunoglobulin E (IgE) antibodies against harmless foods. This article explains the mechanisms driving IgE‐mediated reactions, highlights the central role of these B cells, and discusses how natural tolerance (NT) and oral immunotherapy (OIT) can reshape allergic immune responses.
Juan‐Felipe López +2 more
wiley +1 more source
A Different Angle on Quantum Uncertainty (Measure Angle)
Proceedings, 2019 The uncertainty associated with probing the quantum state is expressed as the effective abundance (measure) of possibilities for its collapse. New kinds of uncertainty limits entailed by the quantum description of the physical system arise in this manner.
Ivan Horváth, Robert Mendris
doaj +1 more source
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Maximum of Entropy for Belief Intervals Under Evidence Theory
IEEE Access, 2020 The Dempster-Shafer Theory (DST) or Evidence Theory has been commonly used to deal with uncertainty. It is based on the basic probability assignment concept (BPA).
Serafin Moral-Garcia, Joaquin Abellan
doaj +1 more source