We have performed combined angle-resolved photoemission spectroscopy (ARPES) experiments and density functional theory (DFT) calculations of the electronic structure of the Ir(111) surface, with the focus on the existence of energy band gaps. The investigation was motivated by the experimental results suggesting Ir(111) as an ideal support for the growth of weakly bonded graphene. Therefore, our prime interest was electronic structure around the symmetry point. In accordance with DFT calculations, ARPES has shown a wide energy band gap with the shape of a parallelogram centred around the point. Within the gap three surface states were identified; one just below the Fermi level and two spin–orbit split surface states at the bottom of the gap.

Patients who have survived myocardial infarction (MI), compared to the general population, have an increased risk of reinfarction, myocardial revascularization, and death. In this study we investigated the prognostic significance of the predictors of the risk for adverse coronary events in 118 patients, both male and female, with a confirmed diagnosis of MI in the last 3 years. The predictors of reinfarction, revascularization and death in patients who survived MI were: poor adherence to hypolipemics (hazard ratio [HR] 3.06, p=0.006), physical inactivity (HR 2.22, p=0.056), the number of variable risk factors (HR 1.29, p=0.025), and age (HR 1.06, p=0.007). After the inclusion of the invariable risk factors in the model of multivariant analysis, the following factors were singled out as significant predictors of the risk: gender (HR 3.86, p=0.0015), physical inactivity (HR 2.38, p=0.007), change in the level of triglycerides (HR 1.49, p=0.040), change in the number of variable risk factors (HR 1.41, p=0.0007), and age (HR 1.05, p=0.009). A 3-year follow-up of the patients who survived the first MI and who were enrolled in this study of secondary prevention demonstrated that physical inactivity, the number of variable risk factors and age significantly contributed to an increased risk of reinfarction, revascularization, and death.

This note introduces a new general conjecture correlating the dimensionality dT of an infinite lattice with N nodes to the asymptotic value of its Wiener Index W(N). In the limit of large N the general asymptotic behavior W(N)≈N s is proposed, where the exponent s and dT are related by the conjectured formula s=2+1/dT allowing a new definition of dimensionality dW=(s-2) -1 . Being related to the topological Wiener index, dW is therefore called Wiener dimensionality. Successful applications of this method to various infinite lattices (like graphene, nanocones, Sierpinski fractal triangle and carpet) testify the validity of the conjecture for infinite lattices.

We derived explicit formulae for the eccentric connectivity index and Wiener index of 2-dimensional square-octagonal TUC4C8(R) lattices with open and closed ends. New compression factors for both indices are also computed in the limit N-->∞.

A novel algorithm for the fast detection of hubs in chemical networks is presented. The algorithm identifies a set of nodes in the network as most significant, aimed to be the most effective points of distribution for fast, widespread coverage throughout the system. We show that our hubs have in general greater closeness centrality and betweenness centrality than vertices with maximal degree, while having comparable or higher degree than vertices with greatest closeness centrality and betweenness centrality. As such, they serve as all-purpose network hubs. Several theoretical and real world chemical and biological networks are tested and results are analyzed.