Results 61 to 70 of about 3,693,066 (305)
Nearly-Linear uncertainty measures [PDF]
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Corsato, Chiara +2 more
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Application of unascertained measure model in reservoir potential evaluation of Nanpu H Fault Block
How to accurately evaluate the current reservoir potential directly affects the potential tapping of remaining oil by water injection in complex fault block reservoirs during the middle and late stages of development.
QU Lili +5 more
doaj
A Different Angle on Quantum Uncertainty (Measure Angle)
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
Uncertainty Interpretation of the Machine Learning Survival Model Predictions
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
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Maximum of Entropy for Belief Intervals Under Evidence Theory
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
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Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The purposes of measurement uncertainty
It is now more than 40 years since the BIPM outlined the current harmonised approach to the expression of uncertainty in measurement, and 30 years since the publication of the Guide to the Expression of Uncertainty in Measurement. Despite several decades of use and application to a wide variety of measurements, there remains a lack of clarity about the
White, Rod, Hall, Blair, Saunders, Peter
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