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Novel mosaic mice with diverse applications [article]

Tian Chi, Jianlong Sun, Yuxin Chen, Shaoshuai Mao, Bo Liu, Zhengyu Jing, Ying Zang, Jing Xia
2020 bioRxiv   pre-print
Gene-deficient mouse models are indispensable for interrogating mammalian gene functions, but the conventional models allow the study of only one or few genes per mouse line, which has been a bottleneck in functional genomics. To confront the challenge, we have combined the CRISPR-Cas and Cre-Lox systems to develop a novel type of mosaic mice termed MARC (Mosaic Animal based on gRNA and Cre) for targeting many genes per mouse but only one gene per cell. This technology employs a transgene
more » ... sing a modified U6 promoter upstream of a series of floxed gRNA genes linked together in tandem, with one gRNA expressed per cell following Cre-mediated recombination. At least 61 gRNA genes can be stably maintained in the transgene, and importantly, enables robust proof-of-principle in vivo screens, demonstrating the potential for quickly evaluating the functions of many genes in diverse tissues in a single MARC line. In theory, MARC can also be analyzed by single-cell sequencing, and should enable cost-effective derivation of conventional single-gene-KO lines via simple breeding. Our study establishes MARC as an important addition to the mouse genetics toolbox.
doi:10.1101/2020.03.21.001388 fatcat:dabuzf4n4fc3jesxn3ma6qtqpu

Bubble towers for supercritical semilinear elliptic equations [article]

Yuxin Ge, Ruihua Jing, Frank Pacard
2004 arXiv   pre-print
We construct positive solutions of the semilinear elliptic problem Δ u+ λ u + u^p = 0 with Dirichet boundary conditions, in a bounded smooth domain Ω⊂^N (N≥ 4), when the exponent p is supercritical and close enough to N+2/N-2 and the parameter λ∈ is small enough. As p→N+2/N-2, the solutions have multiple blow up at finitely many points which are the critical points of a function whose definition involves Green's function. Our result extends the result of Del Pino, Dolbeault and Musso DDM when Ω
more » ... is a ball and the solutions are radially symmetric.
arXiv:math/0409153v1 fatcat:nvljtvnu65fwzi46yl6adoe2qe

Kartogenin regulates hair growth and hair cycling transition

Yuhong Chen, Lijuan zhou, Yuxin Ding, Xiaoshuang Yang, Jing Jing, Xianjie Wu, Jufang Zhang, Zhongfa Lu
2022 International Journal of Medical Sciences  
Kartogenin is a heterocyclic compound able to promote the proliferation, migration, and differentiation of various cell types and induce cartilage-like tissue regeneration. However, the role of kartogenin in hair follicles (HFs), remains unknown. We therefore investigated the effects of kartogenin on the regulation of hair growth and hair growth cycle transition. Methods: The effects of kartogenin on the proliferation, cell cycle status, and migration of primary human outer root sheath cells
more » ... SCs) were evaluated by MTS assay, flow cytometry, Transwell® and scratch assays, respectively. We exposed ORSCs to kartogenin (1 µM) and determined changes in mRNA and protein levels of transforming growth factor (TGF)-β2/Smad signaling molecules by reverse transcription polymerase chain reaction, western blotting, and immunofluorescence. We also examined the effects of kartogenin (10 µM) on HFs in mice by histology following cutaneous injection. Results: Kartogenin enhanced ORSC proliferation and migration function in a dose-dependent manner, and downregulated the expression of TGF-β2/Smad signaling molecules in vitro. Injection of kartogenin delayed catagen phase and increased regenerated hair length in mice in vivo. Conclusions: Kartogenin modulates HF growth and regulates the hair cycle and the TGF-β2/Smad signaling pathway, providing a potential new approach for the treatment of hair loss.
doi:10.7150/ijms.68434 pmid:35370470 pmcid:PMC8964329 fatcat:fiwfyipjtrgjfphdryhi3xkmgu

Bubble towers for supercritical semilinear elliptic equations

Yuxin Ge, Ruihua Jing, Frank Pacard
2005 Journal of Functional Analysis  
We construct positive solutions of the semilinear elliptic problem u + u + u p = 0 with Dirichet boundary conditions, in a bounded smooth domain ⊂ R N (N 4), when the exponent p is supercritical and close enough to N+2 N−2 and the parameter ∈ R is small enough. As p → N+2 N−2 , the solutions have multiple blow up at finitely many points which are the critical points of a function whose definition involves Green's function. Our result extends the result of Del Pino et al. (J. Differential
more » ... ns 193 (2) (2003) 280) when is a ball and the solutions are radially symmetric.
doi:10.1016/j.jfa.2004.09.011 fatcat:jiapvqhuivdctlfbx4eezvrzgi

Encrypted subblock design aided OFDM with all index modulation

Xinjin Lu, Yuxin Shi, Wei Li, Jing Lei
2020 IET Communications  
In recent years, orthogonal frequency division multiplexing with index modulation (OFDM-IM) has been proposed due to its extra diversity gain. Specially, OFDM with all index modulation (OFDM-AIM) was proposed, which removed symbol bits and enhanced the diversity order compared to typical OFDM. However, the security issue of OFDM-AIM has not been given full attention. This paper proposes an encrypted subblock design aided OFDM with all index modulation (ESD-OFDMAIM) scheme to enhance physical
more » ... er security. Firstly, an encryption process of subblock design was put forward, which creates a random look-up table and thus the mapping rule of ESD-OFDM-AIM between information bits and subblock realisations becomes random and time varying. Moreover, the scrambling and rotation encryption based on chaotic sequences from channel state information is utilised to prevent the eavesdropper from stealing the information via wireless channel. For eavesdroppers, parameters of ESD-OFDM-AIM such as spectral efficiency (SE), constellation points and the length of look-up table are concealed by the encryption. Finally, analyses of attack models and the information entropy of constellations are also provided to measure the security of ESD-OFDM-AIM. Simulation results show that ESD-OFDM-AIM can effectively improve the system security without the affecting bit error rate performance.
doi:10.1049/iet-com.2019.0678 fatcat:zqv4qdumlnc33poe77wqu2jar4

Entailment-based Axiom Pinpointing in Debugging Incoherent Terminologies

Yuxin Ye, Dantong Ouyang, Jing Su
2015 International Workshop on Semantic Technologies  
One of the major problems of axiom pinpointing for incoherent terminologies is the precise positioning within the conflict axioms. In this paper we present a formal notion for the entailment-based axiom pinpointing of incoherent terminologies, where the parts of an axiom is defined by atomic entailment. Based on these concepts, we prove the one-to-many relationship between existing axiom pinpointing with the entailment-based axiom pinpointing. For its core task, calculating minimal
more » ... entailment, we provide algorithms for OWL DL terminologies using incremental strategy and Hitting Set Tree algorithm. The feasibility of our method is shown by case study and experiment evaluations.
dblp:conf/iwost/YeOS15 fatcat:7sbzboaaofgdfo2ieurqbaq2bm

Comparison of Three Types of Hair Dyes

Wenxin Hao, Xuanhe Liu, Zhixin Li, Yuxin Nie, Lu Deng, Jing Wu
2022 University Chemistry  
The continuous pursuit of beauty has increased the popularity of hair dyes. Hair dye has become more popular with both the elderly and young people. This report classifies hair dyes and introduces the composition, mechanism, and safety of different hair dyes through an interesting story.
doi:10.3866/pku.dxhx202205059 fatcat:3xp7sil7dvfwzpyqxbj3a2tmrm

The anomalous Hall Effect in a Magnetically Extended Topological Insulator Heterostructure [article]

Nan Liu, Xuefan Niu, Yuxin Liu, Qinghua Zhang, Lin Gu, Jing Teng, Yongqing Li
2020 arXiv   pre-print
 AUTHOR INFORMATION Corresponding Authors *Jing Teng. E-mail: jteng@iphy.ac.cn *Qinghua Zhang.  ... 
arXiv:2004.13341v1 fatcat:al5zxxtf2rfonfqyocqvipeeoq

Spatially non-continuous relationships between biological invasion and fragmentation of mangrove forests [article]

Zhen Zhang, Jing Li, Yi Li, Wenwen Liu, Yuxin Chen, Yihui Zhang, Yangfan Li
2021 bioRxiv   pre-print
Rapid and large-scale biological invasion results in widespread biodiversity loss and degradation of essential ecosystem services, especially in mangrove forests. Recent evidence suggests that the establishment and dispersal of invasive species may exacerbated in fragmented landscape, but the influence of mangrove fragmentation on coastal biological invasion at landscape scale remains largely unknown. Here, using the derived 10-m resolution coastal wetland map in southeast coast of China, we
more » ... mine the relationships between fragmentation of mangrove forests and salt marsh invasion magnitude and quantify the geographical variations of the relationships across a climatic gradient. Our results show that mangrove forests with small size, large edge proportion, and regular boundary shape tend to suffer more serious salt marsh invasions, indicating a positive correlation between mangrove fragmentation and its invaded magnitude. In particular, such fragmentation-invasion relationships in subtropics are shown to be more intensive than in tropic. Our findings provide the first spatially explicit evidence of the relationships between mangrove fragmentation and biological invasion on a landscape scale, and highlight an urgent need for conservation and management actions to improve mangrove connectivity, which will increase resistance to invasions, especially for small-size subtropical mangrove forests.
doi:10.1101/2021.04.16.440248 fatcat:sxi3a4hx3bexjnmadujng4pv6u

Development of a Model for Genomic Prediction of Multiple Traits in Common Bean Germplasm, Based on Population Structure

Jing Shao, Yangfan Hao, Lanfen Wang, Yuxin Xie, Hongwei Zhang, Jiangping Bai, Jing Wu, Junjie Fu
2022 Plants  
Due to insufficient identification and in-depth investigation of existing common bean germplasm resources, it is difficult for breeders to utilize these valuable genetic resources. This situation limits the breeding and industrial development of the common bean (Phaseolus vulgaris L.) in China. Genomic prediction (GP) is a breeding method that uses whole-genome molecular markers to calculate the genomic estimated breeding value (GEBV) of candidate materials and select breeding materials. This
more » ... udy aimed to use genomic prediction to evaluate 15 traits in a collection of 628 common bean lines (including 484 landraces and 144 breeding lines) to determine a common bean GP model. The GP model constructed by landraces showed a moderate to high predictive ability (ranging from 0.59–0.88). Using all landraces as a training set, the predictive ability of the GP model for most traits was higher than that using the landraces from each of two subgene pools, respectively. Randomly selecting breeding lines as additional training sets together with landrace training sets to predict the remaining breeding lines resulted in a higher predictive ability based on principal components analysis. This study constructed a widely applicable GP model of the common bean based on the population structure, and encouraged the development of GP models to quickly aggregate excellent traits and accelerate utilization of germplasm resources.
doi:10.3390/plants11101298 pmid:35631723 pmcid:PMC9144439 fatcat:ocypw4jaxvg3zaiyyl53muitzi

Sparse analysis model based multiplicative noise removal with enhanced regularization

Jing Dong, Zifa Han, Yuxin Zhao, Wenwu Wang, Ales Prochazka, Jonathon Chambers
2017 Signal Processing  
The multiplicative noise removal problem for a corrupted image has recently been considered under the framework of regularization based approaches, where the regularizations are typically defined on sparse dictionaries and/or total variation (TV). This framework was demonstrated to be effective. However, the sparse regularizers used so far are based overwhelmingly on the synthesis model, and the TV based regularizer may induce the stair-casing effect in the reconstructed image. In this paper,
more » ... propose a new method using a sparse analysis model. Our formulation contains a data fidelity term derived from the distribution of the noise and two regularizers. One regularizer employs a learned analysis dictionary, and the other regularizer is an enhanced TV by introducing a parameter to control the smoothness constraint defined on pixel-wise differences. To address the resulting optimization problem, we adapt the alternating $ ). 5 A. Prochazka is with the University of Chemistry and Technology, Prague, Czech Republic. (email: a.prochazka@ieee.org). 6 J. Chambers is with the School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. (email: Jonathon.Chambers@newcastle.ac.uk). direction method of multipliers (ADMM) framework, and present a new method where a relaxation technique is developed to update the variables flexibly with either image patches or the whole image, as required by the learned dictionary and the enhanced TV regularizers, respectively. Experimental results demonstrate the improved performance of the proposed method as compared with several recent baseline methods, especially for relatively high noise levels.
doi:10.1016/j.sigpro.2017.01.032 fatcat:zok3syhvsjevlkz7yjuh3tra6i

Using Touchscreen Tablets to Help Young Children Learn to Tell Time

Fuxing Wang, Heping Xie, Yuxin Wang, Yanbin Hao, Jing An
2016 Frontiers in Psychology  
Young children are devoting more and more time to playing on handheld touchscreen devices (e.g., iPads). Though thousands of touchscreen apps are claimed to be "educational," there is a lack of sufficient evidence examining the impact of touchscreens on children's learning outcomes. In the present study, the two questions we focused on were (a) whether using a touchscreen was helpful in teaching children to tell time, and (b) to what extent young children could transfer what they had learned on
more » ... the touchscreen to other media. A pre-and post-test design was adopted. After 10 min of exposure to an iPad touchscreen app designed to teach time, three groups of 5-to 6-year-old children (N = 65) were, respectively, tested with an iPad touchscreen, a toy clock or a drawing of a clock on paper. The results revealed that post-test scores in the iPad touchscreen test group were significantly higher than those at pre-test, indicating that the touchscreen itself could provide support for young children's learning. Similarly, regardless of being tested with a toy clock or paper drawing, children's post-test performance was also better than pre-test, suggesting that children could transfer what they had learned on an iPad touchscreen to other media. However, comparison among groups showed that children tested with the paper drawing underperformed those tested with the other two media. The theoretical and practical implications of the results, as well as limitations of the present study, are discussed.
doi:10.3389/fpsyg.2016.01800 pmid:27909420 pmcid:PMC5112279 fatcat:ppwx4l352rci7hictwi7pluh5q

Pt/C-TiO2 as Oxygen Reduction Electrocatalysts against Sulfur Poisoning

Yuxin Liu, Jing Ye, Fanpeng Kong, Chunyu Du, Pengjian Zuo, Lei Du, Geping Yin
2022 Catalysts  
Proton exchange membrane (PEM) fuel cells using Pt-based materials as electrocatalysts have achieved a decent performance, represented by the launched Toyota Mirai vehicle. The ideal PEM fuel cells consume stored pure hydrogen and air. However, SO2, as a primary air contaminant, may be fed along with air at the cathode, leading to Pt site deactivation. Therefore, it is important to improve the SO2 tolerance of catalysts for the stability of the oxygen reduction reaction (ORR). In this work, we
more » ... evelop the Pt/C-TiO2 catalyst against SO2 poisoning during ORR. Impressively, the hybrid Pt/C-TiO2 catalyst with 20 mass % TiO2 shows the best ORR and anti-toxic performance: the kinetic current density of ORR is 20.5% higher and the degradation rate after poisoning is 50% lower than Pt/C. The interaction between Pt and TiO2 as well as the abundant hydroxyl groups on the surface of TiO2 are both revealed to account for the accelerated removal of poisonous SO2 on Pt surfaces.
doi:10.3390/catal12050571 fatcat:btziketk6jfyfdpx5vlf2az3wm

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network [article]

Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang
2021 arXiv   pre-print
In this paper, we abandon the dominant complex language model and rethink the linguistic learning process in the scene text recognition. Different from previous methods considering the visual and linguistic information in two separate structures, we propose a Visual Language Modeling Network (VisionLAN), which views the visual and linguistic information as a union by directly enduing the vision model with language capability. Specially, we introduce the text recognition of character-wise
more » ... d feature maps in the training stage. Such operation guides the vision model to use not only the visual texture of characters, but also the linguistic information in visual context for recognition when the visual cues are confused (e.g. occlusion, noise, etc.). As the linguistic information is acquired along with visual features without the need of extra language model, VisionLAN significantly improves the speed by 39% and adaptively considers the linguistic information to enhance the visual features for accurate recognition. Furthermore, an Occlusion Scene Text (OST) dataset is proposed to evaluate the performance on the case of missing character-wise visual cues. The state of-the-art results on several benchmarks prove our effectiveness. Code and dataset are available at https://github.com/wangyuxin87/VisionLAN.
arXiv:2108.09661v1 fatcat:qu5y2terk5bencrvfxdmf6izrm

A convolutional neural network for image super-resolution using internal dataset

Jing Liu, Yuxin Xue, Shanshan Zhao, Shancang Li, Xiaoyan Zhang
2020 IEEE Access  
YUXIN XUE received the B.S. degree in computer science and technology from Shangluo University, Shanxi, China, in 2018.  ...  1.5701 29.93 0.7983 1.5982 30.87 0.7791 1.6145 × 1.2 22.05 0.5927 1.4452 - - - 27.24 0.7085 1.5462 - - - 30.77 0.7987 1.6143 30.43 0.7981 1.6265 30.92 0.8065 1.6716 JING  ... 
doi:10.1109/access.2020.3036155 fatcat:34ifrivysbbs5lv4652fhma6ti
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