Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

Non-autoregressive translation (NAT) models, which remove the dependence on previous target tokens from the inputs of the decoder, achieve significantly inference speedup but at the cost of inferior accuracy compared to autoregressive translation (AT) models. Previous work shows that the quality of the inputs of the decoder is important and largely impacts the model accuracy. In this paper, we propose two methods to enhance the decoder inputs so as to improve NAT models. The first one directly leverages a phrase table generated by conventional SMT approaches to translate source tokens to target tokens, which are then fed into the decoder as inputs. The second one transforms source-side word embeddings to target-side word embeddings through sentence-level alignment and word-level adversary learning, and then feeds the transformed word embeddings into the decoder as inputs. Experimental results show our method largely outperforms the NAT baseline~\citep{gu2017non} by $5.11$ BLEU scores on WMT14 English-German task and $4.72$ BLEU scores on WMT16 English-Romanian task.Comment: AAAI 201

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation

Non-autoregressive translation (NAT) models remove the dependence on previous target tokens and generate all target tokens in parallel, resulting in significant inference speedup but at the cost of inferior translation accuracy compared to autoregressive translation (AT) models. Considering that AT models have higher accuracy and are easier to train than NAT models, and both of them share the same model configurations, a natural idea to improve the accuracy of NAT models is to transfer a well-trained AT model to an NAT model through fine-tuning. However, since AT and NAT models differ greatly in training strategy, straightforward fine-tuning does not work well. In this work, we introduce curriculum learning into fine-tuning for NAT. Specifically, we design a curriculum in the fine-tuning process to progressively switch the training from autoregressive generation to non-autoregressive generation. Experiments on four benchmark translation datasets show that the proposed method achieves good improvement (more than $1$ BLEU score) over previous NAT baselines in terms of translation accuracy, and greatly speed up (more than $10$ times) the inference process over AT baselines.Comment: AAAI 202

Caulobacter and Novosphingobium in tumor tissues are associated with colorectal cancer outcomes

Diversity and composition of the gut microbiome are associated with cancer patient outcomes including colorectal cancer (CRC). A growing number of evidence indicates that Fusobacterium nucleatum (Fn) in CRC tissue is associated with worse survival. However, few studies have further analyzed the differences in bacteria in tumor tissues of different patients depending on the survival time of CRC patients. Therefore, there is a need to further explore the bacterial differences in tumor tissues of patients with different prognoses and to identify key bacteria for analysis. Here, we sought to compare the differences in tumor microbiome between patients with long-term survival (LS) longer than 3 years or 4 and 5 years and patients with short-term survival (SS) in the present study cohort. We found that there were significant differences in tumor microbiome between the LS and SS and two bacteria—Caulobacter and Novosphingobium—that are present in all of the three groups. Furthermore, by analyzing bacteria in different clinical features, we also found that lower levels of microbiome (Caulobacter and Novosphingobium) have long-term survival and modulating microbiome in tumor tissue may provide an alternative way to predict the prognosis of CRC patients

A memória da luz : customizações e encontros com o espectador

Tese (doutorado)—Universidade de Brasília, Instituto de Artes, Departamento de Artes Visuais, 2017.O presente trabalho fala do desenvolvimento e aplicação de simulacros computacionais da luz como opção poética que é estética e empiricamente investigada de modo a envolver a comparação de minhas percepções e meus horizontes, como artista, com os de meus espectadores, como forma de encontrar aproximações e distâncias entre essas percepções e horizontes enquanto criações necessariamente implicadas na fruição esteticamente qualificada desses simulacros, em favor de um maior entendimento sobre o que poderia ser um encontro ou comunicação possível entre autor e receptor e na expectativa de obter, pelo somatório de percepções e horizontes colhidos desses espectadores, uma revelação paulatina das propostas artísticas correspondentes a esses simulacros.This work is about the development and application of computer light simulacra as poetic option that is aesthetically and empirically investigated in a way that involves the comparison of my perceptions and horizons, as an artist, with those of my spectators, as a way to find the proximities and distances between those perceptions and horizons as creations necessarily implied in the fruition aesthetically qualified of these simulacra, in favor of a greater understanding of what could be a possible encounter or communication between author and receiver and in the expectation of a gradual revelation of the artistic proposals corresponding to these simulacra, by the sum of perceptions and horizons taken from those spectators

Insight-HXMT observations of Swift J0243.6+6124 during its 2017-2018 outburst

The recently discovered neutron star transient Swift J0243.6+6124 has been monitored by {\it the Hard X-ray Modulation Telescope} ({\it Insight-\rm HXMT). Based on the obtained data, we investigate the broadband spectrum of the source throughout the outburst. We estimate the broadband flux of the source and search for possible cyclotron line in the broadband spectrum. No evidence of line-like features is, however, found up to $\rm 150~keV$. In the absence of any cyclotron line in its energy spectrum, we estimate the magnetic field of the source based on the observed spin evolution of the neutron star by applying two accretion torque models. In both cases, we get consistent results with $B\rm \sim 10^{13}~G$, $D\rm \sim 6~kpc$ and peak luminosity of $\rm >10^{39}~erg~s^{-1}$ which makes the source the first Galactic ultraluminous X-ray source hosting a neutron star.Comment: publishe

Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite

As China's first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band (1-250 keV) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 MeV. It was designed to perform pointing, scanning and gamma-ray burst (GRB) observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed. Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results.Comment: 29 pages, 40 figures, 6 tables, to appear in Sci. China-Phys. Mech. Astron. arXiv admin note: text overlap with arXiv:1910.0443

I want to go there too! Tourism destination envy in social media marketing

Envy has been widely discussed as a type of consumption motivation and a consumer attitude towards specific consumer goods in the context of social media. However, research on envy in tourism consumption decision-making is still relatively scarce. Accordingly, adopting social cognitive theory while considering benign envy, this study discusses the impact of social media content on consumers' destination envy and behavioural intention during the COVID-19 pandemic. Using a survey of 320 Chinese tourists who travelled to Macao, this paper develops and tests a conceptual framework. The results show that destination envy plays an intermediary role between social media content and consumer behavioural intention. Our findings thus integrate disparate literature streams while shedding light on the impacts of social media content on tourism consumers’ travel decisions during the COVID-19 era

Research status of monitoring and control technology of rapid coal loading system

Based on a simple introduction of rapid coal loading system, the paper emphatically discussed research status of monitoring technologies of its subsystems including coal storage silo, coal conveying system, weighing system, hydraulic system, vehicle location and identification system. It summarized application status of intelligent control technologies including fuzzy control, neural network control and expert control technology in the rapid coal loading system. Finally, it pointed out some important development tendencies of the monitoring and control technologies for the rapid coal loading system