Results 31 to 40 of about 2,065,536 (277)
Heisenberg-Fisher thermal uncertainty measure
With the help of the coherent states' basis we establish an interesting connection among i) the so-called Wehrl entropy, ii) Fisher's information measure $I$, and iii) the canonical ensemble entropy for the one-dimensional quantum harmonic oscillator (HO)
Pennini, F., Plastino, A.
core +1 more source
Uncertainty principles for integral operators
The aim of this paper is to prove new uncertainty principles for an integral operator $\tt$ with a bounded kernel for which there is a Plancherel theorem. The first of these results is an extension of Faris's local uncertainty principle which states that
Ghobber, Saifallah, Jaming, Philippe
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Nowadays, computer networks are playing a more and more important role in people’s daily lives. Meanwhile, the security of computer networks has also attracted widespread concern.
Yancui Duan +3 more
doaj +1 more source
Angular performance measure for tighter uncertainty relations
The uncertainty principle places a fundamental limit on the accuracy with which we can measure conjugate physical quantities. However, the fluctuations of these variables can be assessed in terms of different estimators.
Hradil, Z. +4 more
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Attribute reduction relies on knowledge granulation and uncertainty measurement, thus facilitating intelligent recognition. For incomplete continuous data, neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang +3 more
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Entropic uncertainty measure for fluctuations in two-level electron-phonon models
Two-level electron-phonon systems with reflection symmetry linearly coupled to one or two phonon modes (exciton and E$\otimes(b_1+b_2)$ Jahn-Teller model) exhibit strong enhancement of quantum fluctuations of the phonon coordinates and momenta due to the
Majernik, V. +2 more
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Expressing Measurement Uncertainty in OCL/UML Datatypes [PDF]
Uncertainty is an inherent property of any measure or estimation performed in any physical setting, and therefore it needs to be considered when modeling systems that manage real data.
A Jiménez-Ramírez +11 more
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Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
Automatic classification of diabetic retinopathy from retinal images has been increasingly studied using deep neural networks with impressive results.
Joel Jaskari +7 more
doaj +1 more source
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source

