On black hole spectroscopy via adiabatic invariance

In this paper, we obtain the black hole spectroscopy by combining the black hole property of adiabaticity and the oscillating velocity of the black hole horizon. This velocity is obtained in the tunneling framework. In particular, we declare, if requiring canonical invariance, the adiabatic invariant quantity should be of the covariant form $I_{\textrm{adia}}=\oint p_idq_i$. Using it, the horizon area of a Schwarzschild black hole is quantized independent of the choice of coordinates, with an equally spaced spectroscopy always given by $\Delta \mathcal{A}=8\pi l_p^2$ in the Schwarzschild and Painlev\'{e} coordinates.Comment: 13 pages, some references added, to be published in Phys. Lett.

Ozone Measurements with Meteors: A Revisit

Understanding the role of ozone in the Mesosphere/Lower Thermosphere (MLT) region is essential for understanding the atmospheric processes in the upper atmosphere. Earlier studies have shown that it is possible to use overdense meteor trails to measure ozone concentration in the meteor region. Here we revisit this topic by comparing a compilation of radar observations to satellite measurements. We observe a modest agreement between the values derived from these two methods, which confirm the usefulness of the meteor trail technique for measuring ozone content at certain heights in the MLT region. Future simultaneous measurements will help quantifying the performance of this technique.Comment: MNRAS in pres

Bis(2-eth­oxy-6-formyl­phenolato-κ2 O 1,O 6)nickel(II)

The title compound, [Ni(C9H9O3)2], was synthesized by the reaction of 3-ethoxy­salicylaldehyde with nickel(II) nitrate in methanol solution. The asymmetric unit onsists of two half-molecules; each Ni atom lies on a centre of symmetry. The NiII ions are coordinated by four O atoms from two deprotonated 3-ethoxy­salicylaldehyde ligands in a slightly distorted square-planar coordination environment

Antimicrobial peptide identification using multi-scale convolutional network

Background: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commonly used. More recently, some deep learning methods have also been applied to this problem. Results: In this paper, we designed a deep learning model to identify AMP sequences. We employed the embedding layer and the multi-scale convolutional network in our model. The multi-scale convolutional network, which contains multiple convolutional layers of varying filter lengths, could utilize all latent features captured by the multiple convolutional layers. To further improve the performance, we also incorporated additional information into the designed model and proposed a fusion model. Results showed that our model outperforms the state-of-the-art models on two AMP datasets and the Antimicrobial Peptide Database (APD)3 benchmark dataset. The fusion model also outperforms the state-of-the-art model on an anti-inflammatory peptides (AIPs) dataset at the accuracy. Conclusions: Multi-scale convolutional network is a novel addition to existing deep neural network (DNN) models. The proposed DNN model and the modified fusion model outperform the state-of-the-art models for new AMP discovery. The source code and data are available at https://github.com/zhanglabNKU/APIN

Reflections on the Crisis of Comparative Literature in the Contemporary West

In their Article Reflections on the Crisis of Comparative Literature in the Contemporary West Zhoukun Han and Wen Quan review the challenges met during the evolution of comparative literature as a discipline between the turn of nineteenth century and 1958. They maintain that comparative literature in the contemporary West is indeed experiencing a crisis, explicate the reasons for this. Apart from the pursuit of sameness inherent in conventional comparative studies and the position of western-centrism, the shift from literary comparison to cultural study has exacerbated the crisis. In view of this situation, some western scholars call for a return to comparison and literature. Furthermore, they resuscitate the conception of world literature and give it new meanings to address the crisis. Meanwhile Chinese scholars have responded with cross-civilization studies and variation theory, which promises of a new theoretical construction for comparative literature

Anisotropy, Itineracy, and Magnetic Frustration in High-Tc Iron Pnictides

Using first-principle density functional theory calculations combined with insight from a tight-binding representation, dynamical mean field theory, and linear response theory, we have extensively investigated the electronic structures and magnetic interactions of nine ferropnictides representing three different structural classes. The calculated magnetic interactions are found to be short-range, and the nearest ($J_{1a}$) and next-nearest ($J_{2}$) exchange constants follow the universal trend of J_{1a}/2J_{2}\sim 1, despite their itinerant origin and extreme sensitivity to the z-position of As. These results bear on the discussion of itineracy versus magnetic frustration as the key factor in stabilizing the superconducting ground state. The calculated spin wave dispersions show strong magnetic anisotropy in the Fe plane, in contrast to cuprates.Comment: Fig.4 updated: Phys. Rev. Lett (in press