Publications by authors named "Yuliang Yin"

Molecular dynamics simulations demonstrate that regular conical helices of poly(-phenylene) (PPP) chains can be constructed inside the confined space of single-walled carbon nanocones (CNCs). The translocation displacement of the PPP chain combined with the change of the system total potential energy including each energy component and structural parameters of the formed conical helix is discussed to deeply explore the microstructure evolution, driving forces and dynamic mechanisms. In addition, the influence of chain length, cone angle, temperature, chain number, linked position of benzene rings and the form of Lennard-Jones potential on the helical encapsulation is further studied.

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Background: Cerebral infarction, formerly known as ischemic stroke, refers to localized ischemic necrosis or softening caused by disorders of blood supply to the brain, ischemia, or hypoxia. Cerebral infarction is characterized by high mortality and morbidity. Therefore, early and accurate diagnosis of cerebral infarction is of great significance to the selection of treatment and prognosis of patients.

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The problem of reconciling the frequentist and Bayesian evidence in testing statistical hypotheses has been extensively studied in the literature. Most of the existing work considers cases without the nuisance parameters which is not the frequently encountered situation since the presence of the nuisance parameters is very common in practice. In this paper, we consider the reconcilability of the Bayesian evidence against the null hypothesis H0 in terms of the posterior probability of H0 being true and the frequentist evidence against H0 in terms of the P value in testing normal means where the nuisance parameters are present.

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