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Query Subtopic Mining by Combining Multiple Semantics
Lizhen Liu,Wenbin Xu,Wei Song,HanshiWang,Chao Du 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12
Query subtopic mining aims to find aspects to represent people’s potential intents for a query. Clustering query reformulations is the most common approach for subtopic mining these days. However, there are some challenges that the existing approaches have to face in finding both relevant and diverse subtopics, such as term mismatch and data sparseness. In this paper, a novel semantic representations for query subtopics is introduced, which including phrase embedding representation and query category distributional representation, to solve those problems mentioned above. Furthermore, we also combine multiple semantic representations into vector space model and compute a joint similarity for clustering query reformulations. To evaluate our theory an experiment is conducted on a public dataset offered by NTCIR subtopic mining project, the experimental results show that phrase embedding representation is the most effective representation while combining multiple semantics benefits short text clustering and improves the performance of query subtopic mining.
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Seunghyun Choi,Lizhen Xu,Hye-Ji Kim 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.6
This study was conducted to investigate the effects of physical properties of peat-based substrate mixtures partially substituted with parboiled rice hulls (PRH) on plant growth and performance. Thirteen substrate mixtures were formulated by substituting 0, 20, 30, 40, 50, 60, or 70% peat with either parboiled ground rice hulls (GRH) or whole rice hulls (WRH) (by volume) in commercial potting mix (CPM) containing 70% peat, 20% perlite, and 10% vermiculite. All substrate mixtures consisted of mainly medium-sized (2.0–0.25 mm) particles. However, regardless of the mixing ratio, GRH significantly increased the medium-sized particles especially with diameters of 2.0–0.71 mm, while WRH increased both the medium- and coarse-sized (> 2.0 mm) particles. A higher mixing ratio of PRH increased air space and decreased container capacity but to a greater extent by WRH compared to GRH. Similarly, bulk density was increased with a higher mixing ratio of both types of PRH, but to a greater degree by GRH. Total porosity of GRH-containing substrates was similar to that of CPM within the range of 30–70%. The substrate mixtures containing PRH did not have the same physical properties as the CPM at any mixing ratio, but the values of some GRH-containing mixtures were within or close to the suggested ranges for greenhouse substrates. Considering the maximum substitution of PRH for peat, the substitution with 40% GRH (GRH-40) was selected for a plant growth study in comparison to CPM. Petunia (Petunia × hybrida) ‘Easy Wave Neon Rose’ and zinnia (Zinnia elegans) ‘Benary’s Giant Golden Yellow’ were grown in pots containing CPM and GRH-40 at two irrigation levels: high (25–30%, by volume) and low (20–25%). Overall, shoot DW of both plant species was reduced in GRH-40, but root DW was maintained similar to those in CPM. The low irrigation level more significantly reduced shoot DW of petunia grown in CPM than in GRH-40, relative to their counterparts with the high irrigation level (20 and 7%, respectively); however, root growth of plant species grown in GRH-40 was either maintained or tended to be maintained even at the low irrigation level compared to their high irrigation counterparts. The water use efficiency of plants grown in GRH-40 was not significantly different from those in CPM regardless of irrigation level. These results indicate that GRH-40 provides desirable physical properties and water release characteristics, allowing more available water for plants under low irrigation levels than CPM. We concluded that substituting peat with 40% GRH in a commercial potting mix is a sustainable approach to produce petunia and zinnia.
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Xiaokang Yu,Jinsheng Liang,Jiarui Xu,Xingsong Li,Shan Xing,Huilan Liu,Wan-Li Liu,Dongdong Liu,Jianhua Xu,Lizhen Huang,Hongli Du 한국유방암학회 2018 Journal of breast cancer Vol.21 No.4
Purpose: Breast cancer is the most commonly occurring cancer among women worldwide, and therefore, improved approaches for its early detection are urgently needed. As microRNAs (miRNAs) are increasingly recognized as critical regulators in tumorigenesis and possess excellent stability in plasma, this study focused on using miRNAs to develop a method for identifying noninvasive biomarkers. Methods: To discover critical candidates, differential expression analysis was performed on tissue-originated miRNA profiles of 409 early breast cancer patients and 87 healthy controls from The Cancer Genome Atlas database. We selected candidates from the differentially expressed miRNAs and then evaluated every possible molecular signature formed by the candidates. The best signature was validated in independent serum samples from 113 early breast cancer patients and 47 healthy controls using reverse transcription quantitative real-time polymerase chain reaction. Results: The miRNA candidates in our method were revealed to be associated with breast cancer according to previous studies and showed potential as useful biomarkers. When validated in independent serum samples, the area under curve of the final miRNA signature (miR-21-3p, miR-21-5p, and miR-99a-5p) was 0.895. Diagnostic sensitivity and specificity were 97.9% and 73.5%, respectively. Conclusion: The present study established a novel and effective method to identify biomarkers for early breast cancer. And the method, is also suitable for other cancer types. Furthermore, a combination of three miRNAs was identified as a prospective biomarker for breast cancer early detection.
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Surface oxidation and thermoelectric properties of indium-doped tin telluride nanowires
Li, Zhen,Xu, Enzhi,Losovyj, Yaroslav,Li, Nan,Chen, Aiping,Swartzentruber, Brian,Sinitsyn, Nikolai,Yoo, Jinkyoung,Jia, Quanxi,Zhang, Shixiong The Royal Society of Chemistry 2017 Nanoscale Vol.9 No.35
<P>The recent discovery of excellent thermoelectric properties and topological surface states in SnTe-based compounds has attracted extensive attention in various research areas. Indium doped SnTe is of particular interest because, depending on the doping level, it can either generate resonant states in the bulk valence band leading to enhanced thermoelectric properties, or induce superconductivity that coexists with topological states. Here we report on the vapor deposition of In-doped SnTe nanowires and the study of their surface oxidation and thermoelectric properties. The nanowire growth is assisted by Au catalysts, and their morphologies vary as a function of substrate position and temperature. Transmission electron microscopy characterization reveals the formation of an amorphous surface in single crystalline nanowires. X-ray photoelectron spectroscopy studies suggest that the nanowire surface is composed of In2O3, SnO2, Te and TeO2which can be readily removed by argon ion sputtering. Exposure of the cleaned nanowires to atmosphere leads to rapid oxidation of the surface within only one minute. Characterization of electrical conductivity<I>σ</I>, thermopower<I>S</I>, and thermal conductivity<I>κ</I>was performed on the same In-doped nanowire which shows suppressed<I>σ</I>and<I>κ</I>but enhanced<I>S</I>yielding an improved thermoelectric figure of merit<I>ZT</I>compared to the undoped SnTe.</P>
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