A range extension for Haplomitrium mnioides (Lindb.) R.M.Schust.

Haplomitrium mnioides (Lindb.) R.M.Schust. is reported as new to Hainan Island. A continuous distribution of H. mnioides from west (Thailand) to east (Japan) is confirmed. Habitat pictures and a distribution map are provided

Studies on Magnetic Kagome Metals

Magnetic kagome lattice compound has drawn much attention with their high possibilities of holding the unique magnetic structures, which bring enormous extraordinary physics phenomena, such as frustrated magnetism, electronic correlation, and topological electronic structure. In this study, rare earth compounds RMn6Sn6 (R = Y, Sc, Lu) are investigated. The Topological Hall eect was proved to be a common gure in those three materials. Also, they all have a complicated magnetic phase competing before spin saturation. Magnetization, electrical transport, and transverse properties of those materials are explored. Type-II Weyl semimetal Co3Sn2S2 is also studied using Resonant Ultrasound spectroscopy (RUS). From previous studies, a transition in Co3Sn2S2 around 125 K was under debate. Our RUS result shows a high sensitivity to ultrasound frequency changes at the transition temperature. Also, the elastic modulus as a function of temperature is studied. By performing those studies on our kagome metals, a better understanding of the relationship between the magnetic structure and intrinsic physical properties will be established

Effect of steam addition on the flow field and NOx emissions for Jet-A in an aircraft combustor

The steam injection technology for aircraft engines is gaining rising importance because of the strong limitations imposed by the legislation for NOx reduction in airports. In order to investigate the impact of steam addition on combustion and NOx emissions, an integrated performance-CFD-chemical reactor network (CRN) methodology was developed. The CFD results showed steam addition reduced the high temperature size and the radical pool moved downstream. Then different post-processing techniques are employed and CRN is generated to predict NOx emissions. This network consists of 14 chemical reactor elements and the results were in close agreement with the ICAO databank. The established CRN model was then used for steam addition study and the results showed under air/steam mixture atmosphere, high steam content could push the NOx formation region to the post-flame zone and a large amount of the NOx emission could be reduced when the steam mass fraction is quite high

A Boundary Determined Neural Model for Relation Extraction

Existing models extract entity relations only after two entity spans have been precisely extracted that influenced the performance of relation extraction. Compared with recognizing entity spans, because the boundary has a small granularity and a less ambiguity, it can be detected precisely and incorporated to learn better representation. Motivated by the strengths of boundary, we propose a boundary determined neural (BDN) model, which leverages boundaries as task-related cues to predict the relation labels. Our model can predict high-quality relation instance via the pairs of boundaries, which can relieve error propagation problem. Moreover, our model fuses with boundary-relevant information encoding to represent distributed representation to improve the ability of capturing semantic and dependency information, which can increase the discriminability of neural network. Experiments show that our model achieves state-of-the-art performances on ACE05 corpus