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With the rapid development of the Internet, online reviews have touched on all aspects of our lives and have provided us with much convenience. However, they may also mislead our behavior, especially the deceptive online reviews. In order to filter out deceptive online reviews more precisely, mainly based on sentence joint topic sentiment model (SJTSM), and also integrating the good ideas of sentence latent dirichlet allocation (SenLDA) and CopulaLDA, in this paper we propose a deceptive review detection framework (DRDF) that combines the word-level, chunk-level, and sentence-level topic sentiment models to extract the reviews different features, which is regarded as the vector input of a multiple-classifier to detect deceptive reviews. It not only utilizes the correlation of different level topic-sentiment model representations of a text, but also incorporates the structure and the sentiment label information of reviews. Our compared experimental result on different public datasets has shown that its performance is superior to the existing methods of deceptive review detection.

Effect of crystallographic orientations on the corrosion resistance of the Fe-17Cr ferritic stainless steel sheets was investigated by electron backscatter diffraction and electrochemical measurements. Nearly homogeneous {111}〈112〉 γ-fiber recrystallization texture is produced in the Fe-17Cr ferritic stainless steel sheets. Comparison between the inverse pole figure orientation map and scanning electron microscopy microstructures etched by aqua regia reveals that the severest corrosion occurs on the sheet rolling surface where {111} crystal plane dominates. Electrochemical measurements demonstrate that the plane perpendicular to transverse direction displays the lowest corrosion current density. This indicates that this plane, where {110} plane dominates, exhibits the best corrosion resistance.

Rice in cold region is threatened by cold stress frequently, resulting in severe losses of rice production. In the present study, two rice varieties with contrast cold tolerance in the reproductive stage (Longjing25, cold tolerant; Longjing11 cold sensitive) were compared using RNA-seq technique. A total of 14,861 and 12,148 differentially expressed genes (DEGs) were obtained by comparison of LJ25 and LJ11 after 2 days and 4 days of cold stress challenge. Subsequent Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that five significant pathways were specifically enriched in LJ11. Starch and sucrose metabolism was the only one significant pathway (containing 47 DEGs) annotated in both of varieties during two cold treatment periods. By weighted gene co-expression network analysis (WGCNA), 14 co-expression gene modules were calculated, among which turquoise, cyan, and dark green were the most concerned modules, containing 4807, 2682, and 1174 DEGs, respectively. Finally, we analyzed the transcriptional factors (TFs), and TF families of MYB, zinc finger, AP2/ERF-AP2, bHLH, NAC, bZIP, and WRKY were the biggest seven subfamilies. Collectively, our findings provided valuable insights into the molecular and genetic mechanisms responsible for rice’s response to cold stress.

Presentation 20343

Presentation 20344

The effects of Nb addition on the microstructure and corrosion resistance of the as-rolled Ti-stabilized Fe-17Cr ferritic stainless steels were investigated by optical microscopy, scanning electron microscopy, X-ray diffraction, pitting tests, and electrochemical measurements. TiN precipitate tends to form in the microstructure of Ti-stabilized Fe-17Cr ferritic stainless steel. After 0.1 wt. % Nb addition, (Ti, Nb) (C, N) composite precipitates with MgO and Al2O3 core form in the microstructure. After adding 0.1 wt. % Nb, the corrosion rate of the Ti-stabilized Fe-17Cr ferritic stainless steel in FeCl3 solution is decreased significantly. The corrosion current densities decrease in HNO3, NaOH, and NaCl solutions, and the pitting corrosion potentials can be improved in NaCl solution for the Fe-17Cr ferritic stainless steel with 0.1 wt. % Nb addition.

Presentation18060

Presentation18325

Presentation18031

Presentation18302

Presentation18447

The effect of Sc on the microstructure and mechanical properties of Al–Si–Mg–Cu–Ti alloy was investigated. Results obtained in this research indicate that, with increasing Sc content, the microstru...

This paper presents an experimental investigation on the knittability of various polyimide (PI) filaments, namely PI-H (high strength and modulus), PI-M (moderate strength and modulus) and PI-L (low strength and modulus) filaments. The tensile strength of the PI-H, PI-M and PI-L filaments is 3.41, 1.65 and 0.88 GPa, and the Young’s modulus is 92.94, 40.71 and 9.43 GPa, respectively. The chemical compositions and structures of various PI filaments were characterized to explain the mechanical performance differences. The results show that the imidization degree, structural crystallinity and orientation have significant effects on the mechanical behaviors of PI monofilaments. The filament forces during the knitting process are simplified into straight tensile, loop tensile and abrasion actions, which have been tested and analyzed on PI monofilaments. A home-made simulative knittability analyzer was designed to test the knittability of the PI filaments. A hand flat knitting machine was used to verify the validity of the simulating methods and the constructed knittability analyzer. The PI-H, PI-M and PI-L filaments have poor, moderate and excellent knittability, respectively. The results also demonstrate that the simulating methods and the constructed simulative knittability analyzer are reasonable and efficient to evaluate the knittability of PI filaments.