1,721,150 research outputs found
Walk entropies on graphs
No full textEntropies based on walks on graphs and on their line-graphs are defined. They are based on the summation over diagonal and off-diagonal elements of the thermal Green’s function of a graph also known as the communicability. The walk entropies are strongly related to the walk regularity of graphs and line-graphs. They are not biased by the graph size and have significantly better correlation with the inverse participation ratio of the eigenmodes of the adjacency matrix than other graph entropies. The temperature dependence of the walk entropies is also discussed. In particular, the walk entropy of graphs is shown to be non-monotonic for regular but non-walk-regular graphs in contrast to non-regular graphs
HIDDEN ENTANGLEMENT AND UNITARITY AT THE PLANCK SCALE
Full text linkAttempts to go beyond the framework of local quantum field theory include scenarios in which the action of external symmetries on the quantum fields Hilbert space is deformed. We show how the Fock spaces of such theories exhibit a richer structure in their multi-particle sectors. When the deformation scale is proportional to the Planck energy, such new structure leads to the emergence of a "planckian" mode-entanglement, invisible to an observer that cannot probe the Planck scale. To the same observer, certain unitary processes would appear non-unitary. We show how entanglement transfer to the additional degrees of freedom can provide a potential way out of the black hole information paradox
People have the power: post IPO effects of intellectual capital disclosure
No full textWe study the effects of disclosure practices regarding non-financial information in Initial Public Offering (IPO) prospectuses on the post IPO stock performance. Previous literature is in short supply of evidences regarding the effect of Intellectual Capital (IC) disclosure on the long-run IPO performance and it also provides inconsistent results, possibly due to the different IC classifications that are employed and to a variety of omitted concurrent factors which could befog the effect of the IC disclosure. In this paper, we disengage from any ready-made classification of IC and we shed light on the effects that unbiased IC information exert on the post IPO stock performance. In particular, we consider all the IC information that is provided in the listing prospectus of a sample of firms recently listed on Borsa Italiana by considering a series of 87 variables, as suggested by (Cordazzo J Intellect Cap 8(2):288-305, 2007) and we apply a principal component analysis to such information thus overcoming the subjectivity of any possible classification. The revealed IC components are then included in a multivariate analysis explaining the long-term IPO stock performance. We also include a wide set of variables to control for the short-term performance, the quality of the firm and other factors which could blur the effect of IC disclosure on the long run performance. Our empirical evidences show that information regarding the human resources and the information technology activities disclosed in the IPO prospectus continue to exert their positive effect on the behavior of secondary market investors in the 12 months that follow the IPO. Moreover, the information regarding the human resources is positively linked to the 36 months’ performance as well. Such a result underlines the key role that people have in the perception of a firm’s value in the IPOs setting, thus confirming that human resources are recognized as being very important contributors to the competitive advantage of corporations
Diffusion on an Ising chain with kinks
Full text linkWe count the number of histories between the two degenerate minimum energy configurations of the Ising model on a chain, as a function of the length n and the number d of kinks that appear above the critical temperature. This is equivalent to count permutations of length n avoiding certain subsequences depending on d. We give explicit generating functions and compute the asymptotics. The setting considered has a role when describing dynamics induced by quantum Hamiltonians with deconfined quasi-particles. (C) 2009 Elsevier B.V. All rights reserved
Entanglement and area law with a fractal boundary in a topologically ordered phase
Full text linkQuantum systems with short-range interactions are known to respect an area law for the entanglement entropy: The von Neumann entropy S associated to a bipartition scales with the boundary p between the two parts. Here we study the case in which the boundary is a fractal. We consider the topologically ordered phase of the toric code with a magnetic field. When the field vanishes it is possible to analytically compute the entanglement entropy for both regular and fractal bipartitions (A, B) of the system and this yields an upper bound for the entire topological phase. When the A-B boundary is regular we have S/p = 1 for large p. When the boundary is a fractal of the Hausdorff dimension D, we show that the entanglement between the two parts scales as S/p = gamma <= 1/D, and gamma depends on the fractal considered. RI Lidar, Daniel/A-5871-200
Mons. Rodolfo Ragnini protagonista del cattolicesimo tra Otto e Novecento
No full textIl volume ricostruisce la vicenda biografica e l'impegno politico e religioso di uno dei protagonisti del movimento cattolico italiano tra Otto e Novecent
The role of big data in understanding the effects of price promotion in the luxury fashion industry
No full textThe luxury fashion sector, recognized for its high sales volume, denotes products that convey prestige to their owners, irrespective of their functional utility, accentuating self-worth and societal esteem. While the influence of price as a determinant factor in luxury products has historically been overlooked in research, based on the belief of its insignificance to consumers, the role of price promotions remains even more under-explored, particularly in the context of luxury fashion. Some fashion brands adopt the policy of no promotion, others use promotional leverage but with little knowledge of its real opportunities and functions in the specific field.
This research seeks to bridge this gap by examining the impact of price promotions within the luxury fashion realm. Utilizing big data—highlighted as a cornerstone for innovative analyses—sourced from a company belonging to this sector, this study evaluates consumer purchase histories. Through an enhanced Sequential Pattern Analysis (SPA) method, the research focuses on discerning purchase patterns related to price promotions. Preliminary findings suggest that there is a segment of consumer who are significantly motivated by pricing offers and more price-sensitive. Other segments, however, are more interested in the product and do not pay attention to promotional pricing
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