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303 results on '"Liu, Yanjing"'

10. Defying the normal: biopolitics and the rising bodies in the time of Covid-19

Author

Liu, Yanjing (Tracy)

Abstract

This article discusses the biopolitics of the coronavirus pandemic practiced on both human and non-human animals. I begin by introducing the idea of biopolitics and othering. I then bring two animals, bats and minks, together to explain the role of biopolitics in manipulating the bodies of non-human animals. In particular, I compare the discourses surrounding both animals that frame bats as the wild and minks as the productive— the categorization of both disembodies the animals and subjects them to exploitation. I also examine the role of the environment in creating a shared vulnerability between human and non-human animals. I argue that the coronavirus pandemic is a crisis evoked by a system that profits from the use of biopolitics through the creations of dichotomies between the “normal” and the “abnormal.” To reimagine our future, we need to seek a sustainability that fosters entanglements, instead of separations, of all creatures.

Published
2022

11. Application of Edible Antibacterial Film in Food Packaging Field: A Review

Author

LIU Yanjing, LI Xiyue, LIU Yuezhou, QIAN Yongfang, LÜ Lihua, WANG Ying

Subjects
edible film, antibacterial function, food packaging, preservation, applied research, Food processing and manufacture, TP368-456
Abstract

Storage and preservation techniques can play an important role in extending the shelf life of perishable foods. With consumers’ increasing awareness of environmental protection and safety, edible antibacterial packaging is highly favored because of its natural source and non-toxic nature. This paper introduces in detail the substrate materials, antibacterial agents and methods used to prepare edible antibacterial films, summarizes the application of edible antibacterial films in the food packaging field, and discusses future trends in the development of antibacterial food packaging. We hope that this review will provide a reference for reduction in white pollution and the recovery and utilization of agricultural and industrial wastes, and provide a scientific and theoretical basis for food storage and preservation.

Published
2023
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21. Modular vector assembly enables rapid assessment of emerging CRISPR technologies

Author

McGee, Abby V., primary, Liu, Yanjing V., additional, Griffith, Audrey L., additional, Szegletes, Zsofia M., additional, Wen, Bronte, additional, Kraus, Carolyn, additional, Miller, Nathan W., additional, Steger, Ryan J., additional, Escude Velasco, Berta, additional, Bosch, Justin A., additional, Zirin, Jonathan D., additional, Viswanatha, Raghuvir, additional, Sontheimer, Erik J., additional, Goodale, Amy, additional, Greene, Matthew A., additional, Green, Thomas M., additional, and Doench, John G., additional

Published
2024
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22. Genetic and biological characteristics of the globally circulating H5N8 avian influenza viruses and the protective efficacy offered by the poultry vaccine currently used in China

Author

Cui, Pengfei, Zeng, Xianying, Li, Xuyong, Li, Yanbing, Shi, Jianzhong, Zhao, Conghui, Qu, Zhiyuan, Wang, Yanwen, Guo, Jing, Gu, Wenli, Ma, Qi, Zhang, Yuancheng, Lin, Weipeng, Li, Minghui, Tian, Jingman, Wang, Dongxue, Xing, Xin, Liu, Yanjing, Pan, Shuxin, Zhang, Yaping, Bao, Hongmei, Liu, Liling, Tian, Guobin, Li, Chengjun, Deng, Guohua, and Chen, Hualan

Published
2022
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31. A crowd sensing data collection framework based on edge computing

Author

Liu Yanjing, Sun Xuemei, Yang Xiaorong, and Zhao Yueyue

Subjects
mobile crowd sensing, edge computing, data collection, compressed sensing, Information technology, T58.5-58.64
Abstract

With the rapid increase in the use of mobile devices equipped with built-in sensors, mobile crowd sensing (MCS) as a human driven perception mode came into being. Since a large number of users submit data to the cloud servers in parallel, it will not only increase the pressure on the cloud servers, but also lead to the problem of data redundancy. In order to solve this problem, this paper introduces edge computing into mobile crowd sening for collecting perception data, and proposes a group intelligence perception network data collection model based on edge computing. The data is observed and sampled at the edge node through the compressed sensing algorithm, and the compressed data is transmitted to the cloud server.Using Cl_ BP algorithm restores the compressed data in cloud server .The results show that compared with the orthogonal matching pursuit algorithm (OMP), the data collection model based on edge cloud computing proposed in this paper can better solve the problem of data redundancy.

Published
2022
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35. Optimization of Cas12a for multiplexed genome-scale transcriptional activation

Author

Griffith, Audrey L, primary, Zheng, Fengyi, additional, McGee, Abby V, additional, Miller, Nathan, additional, Szegletes, Zsofia M, additional, Reint, Ganna, additional, Gademann, Fabian, additional, Nwolah, Ifunanya, additional, Hegde, Mudra, additional, Liu, Yanjing V, additional, Goodale, Amy, additional, and Doench, John G, additional

Published
2023
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36. Supplementary file 1 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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37. Supplementary file 2 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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38. Supplement Figure 3 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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39. Supplement Figure 6 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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40. Supplement Figure 4 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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41. Supplementary Data from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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42. Supplement Figure 5 from Targeting an Inducible SALL4-Mediated Cancer Vulnerability with Sequential Therapy

Author

Yang, Junyu, primary, Gao, Chong, primary, Liu, Miao, primary, Liu, Yao-Chung, primary, Kwon, Junsu, primary, Qi, Jun, primary, Tian, Xi, primary, Stein, Alicia, primary, Liu, Yanjing V., primary, Kong, Nikki R., primary, Wu, Yue, primary, Yin, Shenyi, primary, Xi, Jianzhong, primary, Chen, Zhiyuan, primary, Kumari, Kalpana, primary, Wong, Hannan, primary, Luo, Hongbo, primary, Silberstein, Leslie E., primary, Thoms, Julie A.I., primary, Unnikrishnan, Ashwin, primary, Pimanda, John E., primary, Tenen, Daniel G., primary, and Chai, Li, primary

Published
2023
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44. Disrupted diurnal oscillations of the gut microbiota in patients with alcohol dependence

Author

Zhao, Kangqing, primary, Ni, Zhaojun, additional, Qin, Ying, additional, Zhu, Ran, additional, Yu, Zhoulong, additional, Ma, Yundong, additional, Chen, Wenhao, additional, Sun, Qiqing, additional, Wang, Zhong, additional, Liu, Yanjing, additional, Zhao, Jingwen, additional, Peng, Wenjuan, additional, Hu, Sifan, additional, Shi, Jie, additional, Lu, Lin, additional, and Sun, Hongqiang, additional

Published
2023
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49. To explore association between gamma-glutamyl transferase and type 2 diabetes using a real-world study and mendelian randomization analysis

Author

Bi, Yaru, Yang, Shuo, Liu, Yanjing, Cao, Lingxia, Gao, Menghan, Liu, Weixia, Li, Yuting, Tian, Suyan, and Sun, Chenglin

Subjects
Glycated Hemoglobin, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Endocrinology, Diabetes and Metabolism, Humans, gamma-Glutamyltransferase, Mendelian Randomization Analysis
Abstract

AimThe association between gamma-glutamyl transferase (GGT) and type 2 diabetes mellitus (T2DM) is controversial. In this study, we investigated the association between GGT and the risk of T2DM using real-world data, Mendelian randomization (MR) analysis, and literature mining.MethodsA cross-sectional study enrolled 3,048 participants (>40 years) from a community in Northeastern China was conducted. A generalized additive model was used to examine the relation between GGT and T2DM. A two-sample MR was performed to investigate the causal effect of GGT (61,089 individuals, mostly of European ancestry) on T2DM (29,193 cases and 182,573 controls of European ancestry).ResultsGGT was related to glucose metabolism indicators, such as fasting plasma glucose and glycosylated hemoglobin (P < 0.05). The odds ratios (ORs) [95% confidence interval (95% CI), P] for T2DM across the GGT categories (14–16, 17–20, 21–25, 26–35, ≥36) were 1.14 [(0.88-1.47), P = 0.330], 1.55 [(1.22-1.98), P < 0.001], 1.87 [(1.47-2.28), P < 0.001], 1.97 [(1.55-2.52), P < 0.001], and 2.29 [(1.78-2.94), P < 0.001] versus GGT ≤ 13 category after adjusting for potential confounding factors. A generalized additive model identified a non-linear correlation between GGT and T2DM and indicated that the risk of T2DM almost levelled out when GGT exceeded 34 IU/L. The MR analysis showed that the odds of having T2DM for a one-time increase in genetically determined GGT was 0.998 [(0.995-1.002), P = 0.34].ConclusionsOur analysis of observational study suggested that GGT, its increment, within a certain range, is indicative of the development of T2DM. However, MR analysis provided no evidence that GGT is a linear causal factor of T2DM. Further investigation is required to determine if GGT exerts a non-linear causal effect on T2DM.

Published
2022

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