Results 71 to 80 of about 3,100,090 (389)
Analytic neutrino oscillation probabilities
SciPost Physics, 2023 In the work, we derive exact analytic expressions for $(3+N)$-flavor neutrino oscillation probabilities in an arbitrary matter potential in term of matrix elements and eigenvalues of the Hamiltonian.
Chee Sheng Fong
doaj +1 more source
Weak Convergence of Probability Measures [PDF]
arXiv, 2020 Lecture notes based on the book Convergence of Probability Measures by Patrick Billingsley.
arxiv
Entangled probability distributions [PDF]
arXiv, 2023 Concept of entangled probability distribution of several random variables is introduced. These probability distributions describe multimode quantum states in probability representation of quantum mechanics. Example of entangled probability distribution is considered.
arxiv
FEBS Letters, EarlyView.The mitochondrial outer membrane iron–sulphur ([Fe‐S]) protein mitoNEET is a target of the type‐2 diabetes drug pioglitazone. Its unknown molecular function is linked to respiratory complex activity and mitochondrial function. We discovered that O2 protects the mitoNEET [2Fe‐2S] cluster against NO oxidation and desensitization towards reduction by H2S.
Thao Nghi Hoang +9 more
wiley +1 more source
Sensitivity of Bayesian Networks to Noise in Their Parameters
EntropyThere is a widely spread belief in the Bayesian network (BN) community that the overall accuracy of results of BN inference is not too sensitive to the precision of their parameters.
Agnieszka Onisko, Marek J. Druzdzel
doaj +1 more source
A Note on Hidden Markov Models with Application to Criminal Intelligence
Journal of Applied Sciences and Environmental Management, 2023 Hidden Markov Models (HMMs) which fall under the class of latent variable models have received widespread attention in many fields of applications. HMMs were initially developed and applied within the context of speech recognition.
P. Osatohanmwen +6 more
doaj +1 more source
Physical, subjective and analogical probability [PDF]
arXiv, 2022 The aim of this paper is to show that the concept of probability is best understood by dividing this concept into two different types of probability, namely physical probability and analogical probability. Loosely speaking, a physical probability is a probability that applies to the outcomes of an experiment that have been judged as being equally ...
arxiv
FEBS Letters, EarlyView.The glacier ice worm Mesenchytraeus solifugus survives year‐round at 0 °C. Its ATP6 subunit, which forms a regulatory component of the proton pore in mitochondrial ATP synthase, has a carboxy‐terminal extension not found in any other organism examined to date. Here, we show that fusion of this extension to the homologous AtpB protein in E. coli results
Truman Dunkley +2 more
wiley +1 more source
Learning Tuple Probabilities [PDF]
, 2016 Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the subfield of Statistical Relational Learning (SRL), but---so far---this is
Dylla, Maximilian, Theobald, Martin
core +1 more source
Generalized probabilities in statistical theories [PDF]
, 2014 In this review article we present different formal frameworks for the description of generalized probabilities in statistical theories. We discuss the particular cases of probabilities appearing in classical and quantum mechanics, possible ...
Holik, F. +3 more
core +2 more sources