21 research outputs found

    Using Argument-based Features to Predict and Analyse Review Helpfulness

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    We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidences-conclusions ratios, are good indicators of helpful reviews. To validate this hypothesis, we manually annotate arguments in 110 hotel reviews, and investigate the effectiveness of several combinations of argument-based features. Experiments suggest that, when being used together with the argument-based features, the state-of-the-art baseline features can enjoy a performance boost (in terms of F1) of 11.01\% in average.Comment: 6 pages, EMNLP201

    Using Argument-based Features to Predict and Analyse Review Helpfulness

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    We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidences-conclusions ratios, are good indicators of helpful reviews. To validate this hypothesis, we manually annotate arguments in 110 hotel reviews, and investigate the effectiveness of several combinations of argument-based features. Experiments suggest that, when being used together with the argument-based features, the state-of-the-art baseline features can enjoy a performance boost (in terms of F1) of 11.01\% in average.Comment: 6 pages, EMNLP201

    Analysis for sources of atmospheric α- and γ-HCH in gas and particle-associated phase in Dalian, China by multiple regression

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    Atmospheric concentrations of α- and γ-hexachlorocyclohexanes were measured once a week in Dalian throughout 2008, using a high-volume air sampler, to estimate diurnal, monthly and seasonal variations. Multiple regression analysis was used to estimate the impact of selected meteorological conditions on atmospheric concentrations of hexachlorocyclohexanes and to identify the potential source regions. Overall, α- and γ-hexachlorocyclohexanes were mainly associated with the gas phase, with an annual mean gas-phase concentration of 36±30 and 10±9.8pgm-3 respectively. On the other hand, mean particle (PM10) associated concentrations throughout the year were 1.9±2.4 and 0.46±0.43pgm-3 respectively. Gas-phase concentration of α- and γ-hexachlorocyclohexanes peaked in the autumn season whereas highest concentrations in the particle phase were measured in spring. Ratio of α-/γ-isomer ranged from 3.7 to 7.4 in the gas phase which was close to the ratio in technical hexachlorocyclohexanes (5-7). In the particle-associated phase this ratio ranged from 1.2 to 3.8, with the exception of daytime samples in spring (up to 16) and summer seasons (up to 14) and this exception could be due to the isomerization from γ- to α- in ambient air, at least partly resulted from the impact of sunlight. Regression analysis showed that, at the sampling site, concentrations of α- and γ-hexachlorocyclohexanes in the gas phase were both elevated with increasing temperature and wind speed, whereas in the particle-associated phase their concentrations tended to remain stable

    Design of Intelligent Sorting Trash Dustbin Based on STM32

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    —Garbage sorting is related to many issues such as living environment, resource conservation and social civilization. Aiming at the problem of garbage sorting, an intelligent sorting trash dustbin was designed on the mechanical structure designed by ourselves, using the STM32F103ZET6 chip, the LD3320 speech recognition module, and the ultrasonic module. The garbage dustbin realizes the identification of garbage types, the compressed storage of recyclable garbage, and automatic bag sealing. This design not only protects the environment, reduces the risk of disease, but also makes resources recyclable, which indirectly brings unexpected benefits to humans

    Boosting the Photoreactivity of g-C<sub>3</sub>N<sub>4</sub> towards CO<sub>2</sub> Reduction by Polymerization of Dicyandiamide in Ammonium Chloride

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    As a typical organic semiconductor photocatalyst, graphitic carbon nitride (g-C3N4) suffers from low photocatalytic activity. In this paper, g-C3N4 was prepared by polymerization of dicyandiamide (C2H4N4) in the presence of ammonium chloride (NH4Cl). It was found that the addition of ammonium chloride can greatly improve the photocatalytic activity of g-C3N4 towards CO2 reduction. The optimal photocatalyst (CN-Cl 20) exhibited a CO2-to-CO conversion activity of 50.6 μmolg−1h−1, which is 3.1 times that of pristine bulk g-C3N4 (BCN) that was prepared in the absence of any ammonium chloride. The enhanced photoactivity of g-C3N4 was attributed to the combined effects of chloride modification and an enlarged specific surface area. Chloride modification of g-C3N4 can not only reduce the bandgap, but also causes a negatively shifted conduction band (CB) potential level, while ammonia (NH3) gas from the decomposition of NH4Cl can act as a gas template to exfoliate layered structure g-C3N4, improving the specific surface from 6.8 to 21.3 m2g−1. This study provides new ideas for the synthesis of highly efficient g-C3N4-based photocatalytic materials for CO2 conversion and utilization

    Root Abscisic Acid Contributes to Defending Photoinibition in Jerusalem Artichoke (Helianthus tuberosus L.) under Salt Stress

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    The aim of the study was to examine the role of root abscisic acid (ABA) in protecting photosystems and photosynthesis in Jerusalem artichoke against salt stress. Potted plants were pretreated by a specific ABA synthesis inhibitor sodium tungstate and then subjected to salt stress (150 mM NaCl). Tungstate did not directly affect root ABA content and photosynthetic parameters, whereas it inhibited root ABA accumulation and induced a greater decrease in photosynthetic rate under salt stress. The maximal photochemical efficiency of PSII (Fv/Fm) significantly declined in tungstate-pretreated plants under salt stress, suggesting photosystem II (PSII) photoinhibition appeared. PSII photoinhibition did not prevent PSI photoinhibition by restricting electron donation, as the maximal photochemical efficiency of PSI (MR/MR0) was lowered. In line with photoinhibition, elevated H2O2 concentration and lipid peroxidation corroborated salt-induced oxidative stress in tungstate-pretreated plants. Less decrease in MR/MR0 and Fv/Fm indicated that PSII and PSI in non-pretreated plants could maintain better performance than tungstate-pretreated plants under salt stress. Consistently, greater reduction in PSII and PSI reaction center protein abundance confirmed the elevated vulnerability of photosystems to salt stress in tungstate-pretreated plants. Overall, the root ABA signal participated in defending the photosystem's photoinhibition and protecting photosynthesis in Jerusalem artichoke under salt stress

    Effect of cerium on the corrosion behaviour of sintered (Nd,Ce)FeB magnet

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    For the balanced consumption of rare-earth elements, cerium (Ce) was partially used for NdFeB magnets instead of Nd. The corrosion behaviour of the (Nd,Ce)FeB magnet with different Ce contents in 3.5% NaCl solution was investigated by SEM, XRD, EDS and electrochemical tests. After immersion, the weight loss was calculated and the magnetic properties of the samples were measured. Results showed that Ce affected the corrosion of the (Nd,Ce)FeB magnet. Compared with the NdFeB magnet without Ce but of the same grade as the magnetic energy product, (Nd,Ce)FeB magnet showed better corrosion resistance. With increased Ce content, the corrosion resistances and magnetic properties of (Nd,Ce)FeB magnets were investigated. (C) 2017 Elsevier B.V. All rights reserved

    Systematic identification and characterization of the soybean (Glycine max) B-box transcription factor family

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    AbstractIn plants, the B-box (BBX) transcription factors (TFs) are a subfamily of zinc-finger TFs that act to regulate diverse plant growth and development processes. The BBX TFs have been the subject of considerable attention, and are well characterized in diverse plant species, including in rice (Oryza sativa) and Arabidopsis thaliana, but less so in the economically important soybean (Glycine max). In this work, we systematically identified and characterized 57 soybean BBX genes (GmBBX1 to GmBBX57). These genes were mapped to all 20 soybean chromosomes and were divided into five clades with high intra-clade intron–exon similarity. The majority of GmBBX gene promoter cis-acting elements were responsive to light, abscisic acid, salicylic acid and methyl jasmonate, as well as a diverse array of other stimuli. Quantitative RT-PCR indicated that several GmBBX genes exhibited tissue-specific and phytohormone- and abiotic stress-responsiveness. The results of this study will be useful in the continued characterization of soybean BBX gene functions and provide new ideas for soybean breeding
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