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754 results on '"Dong Wenjing"'

1. Determination of acrylamide in fried foods by high performance liquid chromatography based on QuEChERS

Author

DONG Wenjing, DAI Jinbo, NIE Rongrong, SHEN Jie, YE Caiping, and CAI Zhitao

Subjects
quechers, high performance liquid chromatography (hplc), fried food, acrylamide, z-sep+, Food processing and manufacture, TP368-456
Abstract

Objective: This study aimed to popularize the detection capability of acrylamide in fried foods and optimize the pre-treatment process and the reliance on expensive instruments. Methods: The acrylamide in fried foods were extracted by methanol as extraction solvent and used C18 and Z-Sep+ as clean up materials. Then separated it with C18 liquid chromatography column by using water as mobile phase for isocratic elution and detected at wavelength 197 nm. Results: This method showed a good linearity (R2＞0.999) of acrylamide in the range of 0.1~2.0 mg/L and the limits of detection was 0.007 mg/kg. Six parallel replicate determinations of the quality control material showed the relative standard deviation (RSD) was 0.66%. The recoveries obtained at three concentration levels 0.2, 0.5, and 1.0 mg/L were between 91.5%~94.4% and RSDs ranged from 0.62% to 1.88%. The intra-day precision was 1.00% and the inter-day precision was 0.14%. Conclusion: Compared with traditional methods, this method had both simple operation steps for pretreatment and low cost requirement of instruments, which could meet the daily screening and monitoring work for acrylamide detection in fried foods. The established method was successfully applied to the analysis of acrylamide content in some traditional fried snacks.

Published
2023
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2. MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision

Author

Chen, Jiatao, Xie, Tianming, Tang, Xing, Wang, Jing, Dong, Wenjing, and Shi, Bing

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

In recent years, deep learning has significantly advanced the MIDI domain, solidifying music generation as a key application of artificial intelligence. However, existing research primarily focuses on Western music and encounters challenges in generating melodies for Chinese traditional music, especially in capturing modal characteristics and emotional expression. To address these issues, we propose a new architecture, the Dual-Feature Modeling Module, which integrates the long-range dependency modeling of the Mamba Block with the global structure capturing capabilities of the Transformer Block. Additionally, we introduce the Bidirectional Mamba Fusion Layer, which integrates local details and global structures through bidirectional scanning, enhancing the modeling of complex sequences. Building on this architecture, we propose the REMI-M representation, which more accurately captures and generates modal information in melodies. To support this research, we developed FolkDB, a high-quality Chinese traditional music dataset encompassing various styles and totaling over 11 hours of music. Experimental results demonstrate that the proposed architecture excels in generating melodies with Chinese traditional music characteristics, offering a new and effective solution for music generation.

Published
2024

3. Conventional Gel Electrophoresis-Resolvable Insertion/Deletion Markers for Individual Identification and Analysis of Population Genetics in Red-Crowned Cranes in Eastern Hokkaido, Japan

Author

Erika Kawasaki, Dong Wenjing, Akira Sawada, Momoko Nakajima, Kunikazu Momose, Tomoo Yoshino, Tomoko Amano, Daiji Endoh, Nobuyoshi Nakajima, and Hiroki Teraoka

Subjects
InDel, individual identification, Grus japonensis, Japan, HTS, Veterinary medicine, SF600-1100, Zoology, QL1-991
Abstract

Red-crowned crane Grus japonensis is an endangered species in two separate populations: the mainland population in the Eurasian continent and the island population in eastern Hokkaido, Japan. We found 11 insertion/deletion (InDel) markers in the genome of the red-crowned crane and designed primer sets across these InDels that can be analyzed with conventional agarose gel electrophoresis. Sixty-six samples of whole blood and skeletal muscle obtained from red-crowned cranes, including 12 families in eastern Hokkaido from 1994 to 2021, showed different patterns in gel images of 11 InDel PCR reactions except for two pairs. The combined non-exclusion probability of the 11 markers indicates that individuals can be determined with a probability of 99.9%. In 39 non-relative chicks, the expected heterozygosity (He) was 0.316, suggesting low genetic diversity. This might not be caused by high levels of inbreeding since the average FIS was not significantly different from zero (0.095, p = 0.075). The results suggest that the 11 InDel primer sets can be used for fairly accurate individual identification as well as genetic population analyses in red-crowned cranes in the island population.

Published
2022
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44. Sensitivity of vortex pairing and mixing to initial perturbations in stratified shear flows

Author

Dong, Wenjing, Tedford, Edmund W., Rahmani, Mona, and Lawrence, Gregory A.

Subjects
Physics - Fluid Dynamics
Abstract

The effects of different initial perturbations on the evolution of stratified shear flows that are subject to Kelvin-Helmholtz instability and vortex pairing have been investigated through Direct Numerical Simulation (DNS). The effects of purely random perturbations of the background flow are sensitive to the phase of the subharmonic component of the perturbation that has a wavelength double that of the Kelvin-Helmholtz instability. If the phase relationship between the Kelvin-Helmholtz mode and its subharmonic mode is optimal, or close to it, vortex pairing occurs. Vortex paring is delayed when there is a phase difference, and this delay increases with increasing phase difference. In three dimensional simulations vortex pairing is suppressed if the phase difference is sufficiently large, reducing the amount of mixing and mixing efficiency. For a given phase difference close enough to the optimal phase, the response of the flow to eigenvalues perturbations is very similar to the response to random perturbations. In addition to traditional diagnostics, we show quantitatively that a non-modal Fourier component in a random perturbation quickly evolves to be modal and describe the process of vortex pairing using Lagrangian trajectories.

Published
2018
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