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6. Mural Inpainting Method Based on Deep Convolutional Generative Adversarial Networks

Author

Yu, Wenqian, Hu, Zhibo, Cao, Liqin, Li, Zhijiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ye, Zhuangzhi, editor, Xu, Min, editor, Yang, Li, editor, Zhang, Linghao, editor, and Yan, Shu, editor

Published
2022
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11. Analysis of the Influence of Color Space Selection on Color Transfer

Author

Yu, Wenqian, Cao, Liqin, Li, Zhijiang, Xia, Shengqing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ye, Zhuangzhi, editor, Xu, Min, editor, Yang, Li, editor, Zhang, Linghao, editor, and Zhu, Rengao, editor

Published
2021
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16. Large-scale forward genetics screening identifies Trpa1 as a chemosensor for predator odor-evoked innate fear behaviors

Author

Wang, Yibing, Cao, Liqin, Lee, Chia-Ying, Matsuo, Tomohiko, Wu, Kejia, Asher, Greg, Tang, Lijun, Saitoh, Tsuyoshi, Russell, Jamie, Klewe-Nebenius, Daniela, Wang, Li, Soya, Shingo, Hasegawa, Emi, Chérasse, Yoan, Zhou, Jiamin, Li, Yuwenbin, Wang, Tao, Zhan, Xiaowei, Miyoshi, Chika, Irukayama, Yoko, Cao, Jie, Meeks, Julian P, Gautron, Laurent, Wang, Zhiqiang, Sakurai, Katsuyasu, Funato, Hiromasa, Sakurai, Takeshi, Yanagisawa, Masashi, Nagase, Hiroshi, Kobayakawa, Reiko, Kobayakawa, Ko, Beutler, Bruce, and Liu, Qinghua

Subjects
Biomedical and Clinical Sciences, Neurosciences, Basic Behavioral and Social Science, Behavioral and Social Science, Mental Health, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Animals, Behavior, Animal, Fear, Female, Genotyping Techniques, Instinct, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Mutagenesis, Neurons, Nociception, Odorants, Smell, TRPA1 Cation Channel, Thiazoles, Trigeminal Ganglion
Abstract

Innate behaviors are genetically encoded, but their underlying molecular mechanisms remain largely unknown. Predator odor 2,4,5-trimethyl-3-thiazoline (TMT) and its potent analog 2-methyl-2-thiazoline (2MT) are believed to activate specific odorant receptors to elicit innate fear/defensive behaviors in naive mice. Here, we conduct a large-scale recessive genetics screen of ethylnitrosourea (ENU)-mutagenized mice. We find that loss of Trpa1, a pungency/irritancy receptor, diminishes TMT/2MT and snake skin-evoked innate fear/defensive responses. Accordingly, Trpa1 -/- mice fail to effectively activate known fear/stress brain centers upon 2MT exposure, despite their apparent ability to smell and learn to fear 2MT. Moreover, Trpa1 acts as a chemosensor for 2MT/TMT and Trpa1-expressing trigeminal ganglion neurons contribute critically to 2MT-evoked freezing. Our results indicate that Trpa1-mediated nociception plays a crucial role in predator odor-evoked innate fear/defensive behaviors. The work establishes the first forward genetics screen to uncover the molecular mechanism of innate fear, a basic emotion and evolutionarily conserved survival mechanism.

Published
2018

18. Image Restoration of Dun Huang Murals Based on Auto-encoder Generative Adversarial Neural Network

Author

Song, Zhengguang, Xuan, Wenjie, Liu, Jia, Li, Yudan, Cao, Liqin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ye, Zhuangzhi, editor, Xu, Min, editor, and Yang, Li, editor

Published
2020
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22. An Antibacterial, Highly Sensitive Strain Sensor Based on an Anionic Copolymer Interpenetrating with κ-Carrageenan

Author

Cao, Liqin, Li, Xiaotong, and Hu, Xin

Abstract

Polysaccharide-based hydrogels are suitable for use in the field of flexible bioelectronics due to their benign mechanical properties and biocompatibility. However, the preparation of hydrogel sensors with high performance without affecting their physicochemical properties (e.g., flexibility, toughness, self-healing, and antibacterial activity) remains a challenge and needs to be solved. Herein, a metal ion cross-linking reinforced, double network hydrogel was formed from a 2-acrylamide-2-methylpropanesulfonic acid (AMPS) copolymer interpenetrating κ-carrageenan (CAR), followed by immersing the gel in a Cu2+ion solution to obtain an antibacterial CAR/P(AM-co-AMPS)-Cu2+conductive hydrogel. LiCl was added as the electrolyte. The presence of the LiCl electrolyte and sulfonated molecular chain units not only gives the hydrogel good electrical conductivity (conductivity up to 2.68 S/m) but also improves the sensitivity of the hydrogel as a stress–strain sensor, with a hydrogel sensitivity GFof up to 3.76 in the 20%–100% strain range and response time of up to 280 ms. The CAR double-helical structure and sol–gel properties and the interaction of multiple noncovalent bonds between polymers provide the hydrogel with excellent self-healing, with a self-healing efficiency of 68%. In addition, the electrostatic interaction of Cu2+with Escherichia colicells can inhibit their growth, exhibiting good antibacterial properties with an inhibition circle diameter of 20.5 mm. This work could provide an effective strategy for antibacterial multifunctional CAR-based bionic sensors.

Published
2024
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23. Restricted Chinese Natural Language Analysis Based on Dependency Grammar Model

Author

Shang, Yongxing, Li, Zhijiang, Cao, Liqin, Song, Tian, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ouyang, Yun, editor, Xu, Min, editor, Yang, Li, editor, and Ren, Yuhui, editor

Published
2019
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24. Comparison of Grayscale Image Colorization Methods in Different Color Spaces

Author

Cao, Liqin, Shang, Yongxing, Zhao, Jianjun, Li, Zhijiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ouyang, Yun, editor, Xu, Min, editor, Yang, Li, editor, and Ren, Yuhui, editor

Published
2019
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25. Multiple Reference Images Color Transfer Based on Improved GMM Model

Author

Tan, Zhenshan, Li, Zhijiang, Li, Yanhao, Cao, Liqin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Zhao, Pengfei, editor, Ouyang, Yun, editor, Xu, Min, editor, Yang, Li, editor, and Ren, Yuhui, editor

Published
2019
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36. Unsupervised Image Histogram Peak Detection Based on Gaussian Mixture Model

Author

Zheng, Yingping, Li, Zhijiang, Cao, Liqin, Angrisani, Leopoldo, Series editor, Arteaga, Marco, Series editor, Chakraborty, Samarjit, Series editor, Chen, Jiming, Series editor, Chen, Tan Kay, Series editor, Dillmann, Ruediger, Series editor, Duan, Haibin, Series editor, Ferrari, Gianluigi, Series editor, Ferre, Manuel, Series editor, Hirche, Sandra, Series editor, Jabbari, Faryar, Series editor, Kacprzyk, Janusz, Series editor, Khamis, Alaa, Series editor, Kroeger, Torsten, Series editor, Ming, Tan Cher, Series editor, Minker, Wolfgang, Series editor, Misra, Pradeep, Series editor, Möller, Sebastian, Series editor, Mukhopadhyay, Subhas Chandra, Series editor, Ning, Cun-Zheng, Series editor, Nishida, Toyoaki, Series editor, Panigrahi, Bijaya Ketan, Series editor, Pascucci, Federica, Series editor, Samad, Tariq, Series editor, Seng, Gan Woon, Series editor, Veiga, Germano, Series editor, Wu, Haitao, Series editor, Zhang, Junjie James, Series editor, Zhao, Pengfei, editor, Ouyang, Yun, editor, Xu, Min, editor, Yang, Li, editor, and Ren, Yuhui, editor

Published
2018
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46. Stimuli‐responsive properties of double network hydrogels derived from κ‐carrageenan and poly (acrylamide).

Author

Lv, Yajing, Liu, Lu, and Cao, Liqin

Subjects
HYDROGELS, POLYMER networks, ACRYLAMIDE, CARRAGEENANS, DIFFERENTIAL scanning calorimetry, LITHIUM ions, FREEZING points, ELECTRIC conductivity
Abstract

The utilization of stretchable, antifreezing hydrogels is imperative when using them as electrolyte membranes and ionic conductors for flexible energy storage devices or electronic skin. However, a problem still persists in the formation of a functional hydrogel with comprehensive performance including antifreezing, temperature‐sensitive, favorable reusability, and self‐healing properties. Herein, through anionic κ‐carrageenan (κ‐CG) as the physical noncovalent crosslinking network of the hydrogel, and acrylamide (AM) as monomers forming the second network through chemical crosslinking, κ‐CG‐Li+/PAM double‐network (DM) hydrogels were obtained by one‐pot thermally initiated polymerization. The DM structure showed excellent fracture strain and strong breaking stress, and lithium ions ensure its good electrical conductivity. The transparency of the hydrogel could reach above 91.0%, and the freezing point of the resultant gel was −34.9°C, which was measured by differential scanning calorimetry at low temperature. The as‐synthesized DM gel exhibited robust tensile properties with tensile elongation of 1840% and fracture energy of 967.3 kJ/m3. The response sensitivity of the hydrogel as a wearable sensor in different environments was explored. κ‐CG‐Li+/PAM could not only respond in the large strain range of 100%–400% but also capture the change in 0.1% strain. The deformation sensitivity was GF = 1.83 at 200% compressive strain range, and the hydrogel had a pressure sensitivity of 2.71 kPa−1 over the pressure range of 0–5 kPa. In addition to the properties of ionic conductive hydrogels, the hydrogel demonstrated outstanding temperature sensitivity in the human body temperature range of 35°C–40°C or in the range of 20°C–60°C (TCR = 1.628/°C). [ABSTRACT FROM AUTHOR]

Published
2024
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50. Quantitative phosphoproteomic analysis of the molecular substrates of sleep need

Author

Wang, Zhiqiang, Ma, Jing, Miyoshi, Chika, Li, Yuxin, Sato, Makito, Ogawa, Yukino, Lou, Tingting, Ma, Chengyuan, Gao, Xue, Lee, Chiyu, Fujiyama, Tomoyuki, Yang, Xiaojie, Zhou, Shuang, Hotta-Hirashima, Noriko, Klewe-Nebenius, Daniela, Ikkyu, Aya, Kakizaki, Miyo, Kanno, Satomi, Cao, Liqin, Takahashi, Satoru, Peng, Junmin, Yu, Yonghao, Funato, Hiromasa, Yanagisawa, Masashi, and Liu, Qinghua

Published
2018
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