592 research outputs found
Impact of top-Higgs couplings on di-Higgs production at future colliders
Measuring the Higgs-self coupling is one of the most crucial goals of the
future colliders, such as the LHC Run-II and the ILC-based photon collider.
Since the new physics can affects the di-Higgs production not only from the
Higgs self-coupling but also from the top-Higgs coupling, we investigate the
di-Higgs production in the presence of the non-standard top-Higgs coupling at
the LHC and ILC-based photon collider given the recent Higgs data. Due to the
changed interference behaviors of the top quark loops with itself or boson
loops, we find that the cross section of di-Higgs production at the LHC-14 TeV
and ILC-500 GeV can be respectively enhanced up to nearly 3 and 2 times the SM
predictions within 2 Higgs data allowed parameter region.Comment: 16 pages, references and discussions added, accepted by JHE
The Applications and Obstacles of Metabonomics in Traditional Chinese Medicine
In the recent years, a wide range of metabonomic technologies are widely used in the modern research of traditional chinese medicine (TCM). At present, the most prevailing methods for TCM research are mainly nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS). With these techniques, metabonomics will help to understand syndromes, efficacy and toxicity of TCM. However, every analytical technique has its advantages and drawbacks, and there exist some obstacles of its applications on TCM. So, we discuss metabonomics in TCM and analyze some problems of its applications to study TCM in recent years. We believe that with the further development of metabonomic analytical technology, especially multianalysed techniques, metabonomics will greatly promote TCM research and be beneficial to the modernization of TCM
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions
Scaling dense PCFGs to thousands of nonterminals via a low-rank
parameterization of the rule probability tensor has been shown to be beneficial
for unsupervised parsing. However, PCFGs scaled this way still perform poorly
as a language model, and even underperform similarly-sized HMMs. This work
introduces \emph{SimplePCFG}, a simple PCFG formalism with independent left and
right productions. Despite imposing a stronger independence assumption than the
low-rank approach, we find that this formalism scales more effectively both as
a language model and as an unsupervised parser. As an unsupervised parser, our
simple PCFG obtains an average F1 of 65.1 on the English PTB, and as a language
model, it obtains a perplexity of 119.0, outperforming similarly-sized low-rank
PCFGs. We further introduce \emph{FlashInside}, a hardware IO-aware
implementation of the inside algorithm for efficiently scaling simple PCFGs.Comment: Accepted to Findings of EMNLP, 202
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
Entity and Relation Extraction (ERE) is an important task in information
extraction. Recent marker-based pipeline models achieve state-of-the-art
performance, but still suffer from the error propagation issue. Also, most of
current ERE models do not take into account higher-order interactions between
multiple entities and relations, while higher-order modeling could be
beneficial.In this work, we propose HyperGraph neural network for ERE
(\hgnn{}), which is built upon the PL-marker (a state-of-the-art marker-based
pipleline model). To alleviate error propagation,we use a high-recall pruner
mechanism to transfer the burden of entity identification and labeling from the
NER module to the joint module of our model. For higher-order modeling, we
build a hypergraph, where nodes are entities (provided by the span pruner) and
relations thereof, and hyperedges encode interactions between two different
relations or between a relation and its associated subject and object entities.
We then run a hypergraph neural network for higher-order inference by applying
message passing over the built hypergraph. Experiments on three widely used
benchmarks (\acef{}, \ace{} and \scierc{}) for ERE task show significant
improvements over the previous state-of-the-art PL-marker.Comment: Accepted to Proceedings of EMNLP, 202
A Beam-Steering Reflectarray Antenna with Arbitrary Linear-Polarization Reconfiguration
This work presents a beam-steering reflectarray antenna capable of achieving
arbitrary linear polarization (LP) reconfiguration. It utilizes a dual-circular
polarization (CP) reconfigurable reflectarray, along with an LP feed horn, to
synthesize a LP beam by combining two reflected CP beams in the same direction.
The LP states can be dynamically adjusted by tuning the phase constants of the
array, which correspondingly modify the wave phases. Experimental validation of
the proposed polarization synthesis concept is conducted using a 1616
dual-CP 1-bit reconfigurable reflectarray operating at 16.8 GHz. This
reflectarray generates reconfigurable LP waves with polarization states of
LP(0), LP(45), LP(90) and LP(135). Furthermore,
it demonstrates the capability to perform beam scanning, allowing for versatile
beam manipulation. The application of this polarization-reconfigurable
beam-steering reflectarray is pertinent to beam alignment and polarization
synchronization in various wireless communication scenarios, including
satellite communication and mobile communication
INTERNATIONAL TRADE AND GENDER WAGE GAP IN CHINA
It is a new field to analyze how foreign trade impacts gender wage gap in China. Combining Chinese Household Income Project (CHIP) in 2002 and 2007, the paper aims at researching the impacts of international trade on gender wage discrimination. The paper finds that the development of foreign trade will increase gender wage inequality, which contradicts the neoclassical theory. Specifically, in the aspect of trade dependence, the import dependence and total trade dependence has a statistically significant and positive impact on gender wage gap. From the perspective of mode of trade, compared with processing trade dependency, the import dependency of general trade and foreign trade dependency have more statistically significant impacts on gender wage gap, and the impact of import of general trade on gender wage gap is sizable and statistically significant. From the perspective price, price of trade has a negative impact on gender wage gap, but compared with the price changes of total trade and processing trade, only import price of general trade and total price of import and export have statistically significant impacts on gender wage gap. Finally, changes of terms of trade have a positive impact on gender wage gap, but the impact is not statistically significant
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