Results 11 to 20 of about 33,140,363 (390)
Acta Medica Leopoliensia, 2023 The healthcare system in Ukraine is moving to flexible mechanisms to support the quality and comfort of medical services, in particular through the introduction of co-payments.
Oleg Klymenyuk +3 more
doaj +1 more source
Statistical model for pionic partons [PDF]
, 2001 We present a model for the structure of the pion. Based on ideas of a recently developed statistical model of the nucleon, we assume the pion to be a gas of partons. The finite-size corrections (FSC) are incorporated through two parameters.
Altarelli +18 more
core +4 more sources
Some uses of predictive probability of success in clinical drug development
Epidemiology, Biostatistics and Public Health, 2013 Predictive probability of success is a (subjective) Bayesian evaluation of the prob- ability of a future successful event in a given state of information. In the context of pharmaceutical clinical drug development, successful events relate to the accrual
Mauro Gasparini +3 more
doaj +1 more source
Mathematical Biosciences and Engineering, 2022 In Japan, a prioritized COVID-19 vaccination program using Pfizer/BioNTech messenger RNA (mRNA) vaccine among healthcare workers commenced on February 17, 2021.
Misaki Sasanami +2 more
doaj +1 more source
Statistical Model for the Nucleon Structure Functions [PDF]
, 1996 A phenomenological model for the nucleon structure functions is presented. Visualising the nucleon as a cavity filled with parton gas in equilibrium and parametrizing the effects due to the finiteness of the nucleon volume, we obtain a good fit to the ...
Abe +32 more
core +2 more sources
IEEE Access, 2019 Different automated decision support systems based on artificial neural network (ANN) have been widely proposed for the detection of heart disease in previous studies. However, most of these techniques focus on the preprocessing of features only. In this
Liaqat Ali +5 more
semanticscholar +1 more source
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho +6 more
semanticscholar +1 more source
A new look at the statistical model identification
, 1974 The history of the development of statistical hypothesis testing in time series analysis is reviewed briefly and it is pointed out that the hypothesis testing procedure is not adequately defined as the procedure for statistical model identification.
H. Akaike
semanticscholar +1 more source
Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction
Scientific Reports, 2018 This study aims to understand through statistical learning the basic biophysical mechanisms behind three-dimensional folding of epigenomes. The 3DEpiLoop algorithm predicts three-dimensional chromatin looping interactions within topologically associating
Ziad Al Bkhetan, Dariusz M Plewczynski
semanticscholar +1 more source
Normalized Gaussian Approach to Statistical Modeling of OFDM Signals
Journal of Telecommunications and Information Technology, 2014 This article concerns modeling of statistical properties of OFDM signals with the help of “normalized Gaussian” model, proposed by Kotzer et al. In this paper there is provided an extended formulation of the model, supplemented by an expression for ...
Adam Rudziński
doaj +1 more source