Critical Flavor Number in the Three Dimensional Thirring Model

We present results of a Monte Carlo simulation of the three dimensional Thirring model with the number of fermion flavors N_f varied between 2 and 18. By identifying the lattice coupling at which the chiral condensate peaks, simulations are be performed at couplings g^2(N_f) corresponding to the strong coupling limit of the continuum theory. The chiral symmetry restoring phase transition is studied as N_f is increased, and the critical number of flavors estimated as N_{fc}=6.6(1). The critical exponents measured at the transition do not agree with self-consistent solutions of the Schwinger-Dyson equations; in particular there is no evidence for the transition being of infinite order. Implications for the critical flavor number in QED_3 are briefly discussed.Comment: 4 pages, 5 figure

Three dimensional four-fermion models - A Monte Carlo study

We present results from numerical simulations of three different 3d four-fermion models that exhibit Z_2, U(1), and SU(2) x SU(2) chiral symmetries, respectively. We performed the simulations by using the hybrid Monte Carlo algorithm. We employed finite size scaling methods on lattices ranging from 8^3 to 40^3 to study the properties of the second order chiral phase transition in each model. The corresponding critical coupling defines an ultraviolet fixed point of the renormalization group. In our high precision simulations, we detected next-to-leading order corrections for various critical exponents and we found them to be in good agreement with existing analytical large-N_f calculations.Comment: 15 pages, 7 figures, and 2 table

How do digital innovation teams function?:Understanding the team cognition-team process nexus within the context of digital transformation

Digital innovations are revolutionizing the way businesses and industries operate. Yet, the functioning of teams dealing with digital innovations remains elusive. This study offers new theoretical and empirical insights about how innovation teams function within the context of digital transformation through a better understanding of the team process-cognition nexus. In this study, a qualitative, in-depth investigation is carried out with three innovation teams, embedded in three telecommunications organizations. The innovation teams that are studied deal with the development of solutions based on digital technological innovations. The findings illustrate that digital innovation teams depend on two cognitive states to function: team-specific cognitions required for digital innovation and digital project-specific cognitions. Each cognitive state is shaped and transformed by distinct interactions between team cognition, teamwork, and taskwork throughout the digital innovation process. This study depicts a dynamic model that illustrates the functioning of innovation teams across the different stages leading to digital innovation materialization. Opportunities for further research are offered

Screening of 50 Cypriot Patients with Autism Spectrum Disorders or Autistic Features Using 400K Custom Array-CGH

Autism spectrum disorders (ASDs) comprise a distinct entity of neurodevelopmental disorders with a strong genetic component. Despite the identification of several candidate genes and causative genomic copy number variations (CNVs), the majority of ASD cases still remain unresolved. We have applied microarray-based comparative genomic hybridization (array-CGH) using Agilent 400K custom array in the first Cyprus population screening for identification of ASD-associated CNVs. A cohort of 50 ASD patients (G1), their parents (G2), 50 ethnically matched normal controls (G3), and 80 normal individuals having children with various developmental and neurological conditions (G4) were tested. As a result, 14 patients were found to carry 20 potentially causative aberrations, two of which were de novo. Comparison of the four population groups revealed an increased rate of rare disease-associated variants in normal parents of children with autism. The above data provided additional evidence, supporting the complexity of ASD aetiology in comparison to other developmental disorders involving cognitive impairment. Furthermore, we have demonstrated the rationale of a more targeted approach combining accurate clinical description with high-resolution population-oriented genomic screening for defining the role of CNVs in autism and identifying meaningful associations on the molecular level