A Classical String in Lifshitz-Vaidya Geometry

We study the time evolution of the expectation value of a rectangular Wilson loop in strongly anisotropic time-dependent plasma using gauge-gravity duality. The corresponding gravity theory is given by describing time evolution of a classical string in the Lifshitz-Vaidya background. We show that the expectation value of the Wilson loop oscillates about the value of the static potential with the same parameters after the energy injection is over. We discuss how the amplitude and frequency of the oscillation depend on the parameters of the theory. In particular, by raising the anisotropy parameter, we observe that the amplitude and frequency of the oscillation increase.Comment: 19 pages, 5 figure

A quenched 2-flavour Einstein–Maxwell–Dilaton gauge-gravity model

We extend earlier work by introducing an Einstein–Maxwell–Dilaton (EMD) action with two quark flavours. We solve the corresponding equations of motion in the quenched approximation (probe quark flavours) via the potential reconstruction method in presence of a background magnetic field in search for a self-consistent dual magnetic AdS/QCD model. As an application we discuss the deconfinement transition temperature confirming inverse magnetic catalysis, whilst for moderate values of the magnetic field also the entropy density compares relatively well with corresponding lattice data in the vicinity of the transition

Breaking the circularity in circular analyses: Simulations and formal treatment of the flattened average approach

There has been considerable debate and concern as to whether there is a replication crisis in the scientific literature. A likely cause of poor replication is the multiple comparisons problem. An important way in which this problem can manifest in the M/EEG context is through post hoc tailoring of analysis windows (a.k.a. regions-of-interest, ROIs) to landmarks in the collected data. Post hoc tailoring of ROIs is used because it allows researchers to adapt to inter-experiment variability and discover novel differences that fall outside of windows defined by prior precedent, thereby reducing Type II errors. However, this approach can dramatically inflate Type I error rates. One way to avoid this problem is to tailor windows according to a contrast that is orthogonal (strictly parametrically orthogonal) to the contrast being tested. A key approach of this kind is to identify windows on a fully flattened average. On the basis of simulations, this approach has been argued to be safe for post hoc tailoring of analysis windows under many conditions. Here, we present further simulations and mathematical proofs to show exactly why the Fully Flattened Average approach is unbiased, providing a formal grounding to the approach, clarifying the limits of its applicability and resolving published misconceptions about the method. We also provide a statistical power analysis, which shows that, in specific contexts, the fully flattened average approach provides higher statistical power than Fieldtrip cluster inference. This suggests that the Fully Flattened Average approach will enable researchers to identify more effects from their data without incurring an inflation of the false positive rate

Self- and cross-(in)compatibility between important apricot cultivars in northwest Iran

Knowledge of the self-(in)compatibility trait in commercial apricot cultivars is of great importance for breeders and growers. Five commercial apricot cultivars, widely grown in Iran, were self- and cross-pollinated to determine their pollen and stylar compatibility. Fruit-set in the orchard and pollen tube growth in pistils, from flowers pollinated in the laboratory, were evaluated. In addition, specific primers previously designed to amplify fragments of the S alleles responsible for the incompatibility trait, were used to amplify DNA extracted from the five cultivars.All results agreed and confirmed that three out of the five cultivars studied were self-incompatible, two of which were cross-incompatible and therefore had the same genotype. The cultivars, ‘Ghorban-e-Marageh’ and ‘Ghermez-e-Shahroodi’ were self-compatible and, interestingly, shared a PCR band with all Spanish self-compatible apricot cultivars examined to date

Self- and cross-(in)compatibility between important apricot cultivars in northwest Iran

Knowledge of the self-(in)compatibility trait in commercial apricot cultivars is of great importance for breeders and growers. Five commercial apricot cultivars, widely grown in Iran, were self- and cross-pollinated to determine their pollen and stylar compatibility. Fruit-set in the orchard and pollen tube growth in pistils, from flowers pollinated in the laboratory, were evaluated. In addition, specific primers previously designed to amplify fragments of the S alleles responsible for the incompatibility trait, were used to amplify DNA extracted from the five cultivars.All results agreed and confirmed that three out of the five cultivars studied were self-incompatible, two of which were cross-incompatible and therefore had the same genotype. The cultivars, ‘Ghorban-e-Marageh’ and ‘Ghermez-e-Shahroodi’ were self-compatible and, interestingly, shared a PCR band with all Spanish self-compatible apricot cultivars examined to date