We present the next-to-next-to-leading order (αα s) corrections to the first moment of the polarized virtual photon structure function g 1 (x,Q , P ) in the kinematical region Λ ≪ P 2 ≪ Q, where −Q(−P ) is the mass squared of the probe (target) photon and Λ is the QCD scale parameter. In order to evaluate the three-loop-level photon matrix element of the flavor singlet axial current, we resort ...

We reexamine a very classical problem, the spinning behavior of the tippe top on a horizontal table. The analysis is made for an eccentric sphere version of the tippe top, assuming a modified Coulomb law for the sliding friction, which is a continuous function of the slip velocity vP at the point of contact and vanishes at vP =0. We study the relevance of the gyroscopic balance condition (GBC),...

A shared task is a typical question answering task that aims to test how accurately the participants can answer the questions in exams. Typically, for each question, there are four candidate answers, and only one of the answers is correct. The existing methods for such a task usually implement a recurrent neural network (RNN) or long short-term memory (LSTM). However, both RNN and LSTM are bias...

This paper describes our submission to IJCNLP 2017 shared task 4, for predicting the tags of unseen customer feedback sentences, such as comments, complaints, bugs, requests, and meaningless and undetermined statements. With the use of a neural network, a large number of deep learning methods have been developed, which perform very well on text classification. Our ensemble classification model ...

In this paper, we propose a multi-channel convolutional neural network-long shortterm memory (CNN-LSTM) model that consists of two parts: multi-channel CNN and LSTM to analyze the sentiments of short English messages from Twitter. Unlike a conventional CNN, the proposed model applies a multi-channel strategy that uses several filters of different length to extract active local n-gram features i...

Building a system to detect Chinese grammatical errors is a challenge for naturallanguage processing researchers. As Chinese learners are increasing, developing such a system can help them study Chinese more easily. This paper introduces a bidirectional long short-term memory (BiLSTM) conditional random field (CRF) model to produce the sequences that indicate an error type for every position of...

We examine the muonium (µ + e −)-antimuonium (µ − e +) system in the models which accomodate the dilepton gauge bosons, and study their contributions to the ground state hyperfine splitting in " muonium ". We also consider the exotic muon decay µ + → e + +ν e + ν µ mediated by the dilepton gauge boson, and obtain a lower bound (M X ± /g 3l) > 550GeV at 90% confidence level for the singly-charge...

Spin-dependent parton distributions in the polarized virtual photon are investigated in QCD up to the next-to-leading order (NLO). In the case Λ ≪ P 2 ≪ Q, where −Q (−P ) is the mass squared of the probe (target) photon, parton distributions can be predicted completely up to the NLO, but they are factorization-scheme-dependent. Parton distributions are analyzed in four different factorization s...

We examine the magnetic field dependence of the muonium(μe)antimuonium(μe) conversion in the models which accommodate the dilepton gauge bosons. The effective Hamiltonian for the conversion due to dileptons turns out to be in the (V −A)× (V +A) form and, in consequence, the conversion probability is rather insensitive to the strength of the magnetic field. The reduction is less than 20% for up ...