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391 results on '"Yin, Wenjun"'

3. Preparation and characteristics of high-protein and fat-reduced Vegetarian Mayonnaise Co-stabilized by natural Quillaja saponin and soybean protein isolate

Author

YIN Wenjun, ZHU Mengmeng, CHEN Xiaowei, SUN Shangde, WANG Yonghui

Subjects
plant-based foods, soybean protein isolate, high-protein foods, reduced-fat foods, vegetarian mayonnaise, Food processing and manufacture, TP368-456
Abstract

In this study, the synergistic effect of Quillaja saponin (QS) and soybean protein isolate (SPI) on stabilizing emulsion gels was used to prepare plant-based mayonnaise (PM) with high protein content and reduced fat content. Comparative characterization of PM and two commercially mayonnaises in terms of appearance, droplet size, texture, rheological properties, thermal and freeze-thaw stability was conducted by static light scattering, laser confocal scanning microscopy (LCSM), small deformation rheology and texture profile analysis (TPA). It was found that high-protein and fat-reduced MP (10% SPI and 50% fat or 11% SPI and 40% fat, m/m) which was compared to commercial mayonnaises in terms of appearance, spreadability, texture and rheological properties was made using 10% SPI and 0.18% QS or 10% SPI, 0.18% QS and 1% SPI gel particles (SGPs) as protein ingredients. In the systems, QS not only endowed a viscosity-thinning texture modifier to protein-rich emulsion products, but also imparted superior thermal stability and freeze-thaw stability to SPI-based emulsion gels. These findings will provide theoretical and technical guidance for the development and application of high-protein and fat-reduced plant-based mayonnaise.

Published
2024
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9. I speak when boss Back up my family: testing the moderated mediation model of family supportive supervisor behavior and employee voice

Author

Yin, Wenjun, Liao, Shudi, Ouyang, Xi, Akhtar, Muhammad Naseer, and Zhou, Xingchi

Subjects
Workers -- Behavior -- Social aspects, Leadership styles -- Methods -- Psychological aspects, Psychology and mental health
Abstract

This study investigated the effects of family supportive supervisor behavior (FSSB) on employee voice behavior. Drawing on social exchange theory and the compensatory perspective, we proposed and examined the idea that FSSB can enhance leader-member exchange (LMX) between supervisors and their subordinates, ultimately facilitating employee voice behavior. Analysis of 6-month time-lagged data from a sample of 295 supervisor-subordinate relationships revealed an indirect positive relationship between FSSB and employee voice behavior through enhanced LMX. This effect was more pronounced when the family role of the employee's spouse was less salient. The implications of these findings for research and practice regarding FSSB and voice are discussed., Author(s): Wenjun Yin [sup.1] , Shudi Liao [sup.2] [sup.3] [sup.4] , Xi Ouyang [sup.1] , Muhammad Naseer Akhtar [sup.5] , Xingchi Zhou [sup.6] Author Affiliations: (1) grid.33199.31, 0000 0004 0368 [...]

Published
2023
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21. Intelligent Identification of High Emission Road Segment Based on Large-Scale Traffic Datasets

Author

Liu, Baoxian, Zhou, Gang, Yang, Yanyan, Huang, Zilong, Gong, Qiongqiong, Zou, Kexu, Yin, Wenjun, Kimms, Alf, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Barbosa-Povoa, Ana Paula, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Qiu, Robin, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Gans, Noah, Editorial Board Member, Zhu, Joe, Editorial Board Member, Heim, Gregory R., Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Shankar, Ravi, Editorial Board Member, Guowei, Hua, Editorial Board Member, Li, Xiang, Editorial Board Member, Wu, Yuzhe, Editorial Board Member, de Almeida-Filho, Adiel Teixeira, Editorial Board Member, Lyons, Kelly, editor, and Chen, Weiwei, editor

Published
2021
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22. A U-net Architecture Based Model for Precise Air Pollution Concentration Monitoring

Author

Wang, Feihong, Zhou, Gang, Wang, Yaning, Duan, Huiling, Xu, Qing, Wang, Guoxing, Yin, Wenjun, Kimms, Alf, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Barbosa-Povoa, Ana Paula, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Qiu, Robin, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Gans, Noah, Editorial Board Member, Zhu, Joe, Editorial Board Member, Heim, Gregory R., Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Shankar, Ravi, Editorial Board Member, Guowei, Hua, Editorial Board Member, Li, Xiang, Editorial Board Member, Wu, Yuzhe, Editorial Board Member, de Almeida-Filho, Adiel Teixeira, Editorial Board Member, Lyons, Kelly, editor, and Chen, Weiwei, editor

Published
2021
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31. N6-methyladenosine modified lncRNAs signature for stratification of biochemical recurrence in prostate cancer

Author

Liang, Yingke, primary, Yin, Wenjun, additional, Cai, Zhouda, additional, Luo, Hongwei, additional, Liu, Qinwei, additional, Zhong, Chuanfan, additional, Chen, Jiahong, additional, Lin, Zhuoyuan, additional, Huang, Yaqiang, additional, Liang, Zhenguo, additional, Deng, Junhong, additional, Zhong, Weide, additional, Cai, Chao, additional, and Lu, Jianming, additional

Published
2023
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37. Expression status and prognostic value of autophagy-related lncRNAs in prostate cancer

Author

Chen, Guo, Qin, Xiaoping, Wang, Yu, Gao, Biyun, Ling, Muan, Yin, Wenjun, Li, Yutong, and Pan, Bin

Subjects
Male, Prostatic Neoplasms, Cell Biology, Prognosis, Gene Expression Regulation, Neoplastic, MicroRNAs, Autophagy, Biomarkers, Tumor, Humans, Gene Regulatory Networks, RNA, Long Noncoding, RNA, Messenger, Molecular Biology, Research Paper, Developmental Biology
Abstract

LncRNAs involve in the autophagy to regulate prostate cancer (PCA) initiation and progression. Therefore, it urges to explore more significant AR-lncRNAs in PCa. mRNA data and clinical information of PCa were achieved from TCGA database, and ARGs were obtained from the HADb. AR-lncRNAs were identified by correlation analysis of DE ARGs and lncRNAs. Univariate Cox regression, LASSO regression, and multivariate Cox regression were used to identify the prognostic AR-lncRNA signature and constructed a risk model. GESA was used to biological function analysis between high- and low-risk score group. A nomogram was constructed and used to predicate the survival of PCa patients. A calibration curve was used to determine the accuracy of the predication model. AR-related ceRNA network was constructed by correlation analysis. Expression of six AR-related lncRNAs were detected by qRT-PCR. 222 ARGs and 385 AR-lncRNAs were screened from PCa and normal tissues, and 17 AR-lncRNAs were identified as prognostic signature for PCa. Based on the expression of prognostic signature, a risk score was calculated, and PCa samples were distributed into high- and low-risk score groups. The biological function and predicated value of the prognostic signature were also examined. Finally, based on the correlation between each ARG and its prognostic signature, three modules of AR-lncRNA-miRNA-mRNA regulatory networks were constructed based on 6 AR-lncRNAs, 17 miRNAs, and 12 ARGs. And we found that AC012085.2, UBXN10-AS1, LINC00261 downregulated, whereas AP004608.1, AC104667.2, AC008610.1 upregulated in PCa compared with BPH tissues. Our finding supplied the potential AR-lncRNAs prognostic signature for PCa.

Published
2022

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