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1,115 results on '"WANG Yongbo"'

151. Simple Mixed-Acid-Treated Carbon Fiber Electrodes with Oxygen-Containing Functional Groups for Flexible Supercapacitors

Author

Wang, Yongbo Wang, Hui Li, Bowen Cui, Xiaodan Xu, and Yanxiang

Subjects
carbon fibers, mixed acid treatment, oxygen-containing functional groups, electrochemical test, flexible supercapacitor
Abstract

Flexible supercapacitors are demanded for energy storage of wearable electronics. In this paper, a simple strategy for preparing flexible carbon fibers (CFs) with good energy storage capacity using a mixed acid treatment process is reported. When the volume ratio of concentrated sulfuric acid to concentrated nitric acid is 3:1, the carbon fiber electrodes have the best electrochemical performance with a high capacitance of 27.83 F g−1 at 15 mA g−1 and extremely high capacitance retention of 79.9% after 500 cycles at 100 mA g−1. Furthermore, their energy density can reach 3.86 Wh kg−1 with a power density of 7.5 W kg−1. Such an excellent electrochemical performance of carbon fiber electrodes is attributed to their surface rich oxygen-containing functional groups, rough surface, and a certain number of graphene quantum dots (GQDs). Importantly, the all-solid-state flexible supercapacitor performs excellent bending stability performance with a capacitance retention of almost 100% after 500 times of bending at 180°, showing good prospects and applications in the field of flexible energy storage devices.

Published
2023
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166. A Framework for Contract-Based Collaborative Verification and Validation of Web Services

Author

Bai, Xiaoying, Wang, Yongbo, Dai, Guilan, Tsai, Wei-Tek, Chen, Yinong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Schmidt, Heinz W., editor, Crnkovic, Ivica, editor, Heineman, George T., editor, and Stafford, Judith A., editor

Published
2007
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167. Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution

Author

Li, Xing, Jing, Kaili, Yang, Yan, Wang, Yongbo, Ma, Jianhua, Zheng, Hairong, and Xu, Zongben

Abstract

Low-dose computed tomography (LDCT) helps to reduce radiation risks in CT scanning while maintaining image quality, which involves a consistent pursuit of lower incident rays and higher reconstruction performance. Although deep learning approaches have achieved encouraging success in LDCT reconstruction, most of them treat the task as a general inverse problem in either the image domain or the dual (sinogram and image) domains. Such frameworks have not considered the original noise generation of the projection data and suffer from limited performance improvement for the LDCT task. In this paper, we propose a novel reconstruction model based on noise-generating and imaging mechanism in full-domain, which fully considers the statistical properties of intrinsic noises in LDCT and prior information in sinogram and image domains. To solve the model, we propose an optimization algorithm based on the proximal gradient technique. Specifically, we derive the approximate solutions of the integer programming problem on the projection data theoretically. Instead of hand-crafting the sinogram and image regularizers, we propose to unroll the optimization algorithm to be a deep network. The network implicitly learns the proximal operators of sinogram and image regularizers with two deep neural networks, providing a more interpretable and effective reconstruction procedure. Numerical results demonstrate our proposed method improvements of > 2.9 dB in peak signal to noise ratio, > 1.4% promotion in structural similarity metric, and > 9 HU decrements in root mean square error over current state-of-the-art LDCT methods.

Published
2024
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168. Splicing dysregulation in cancer: from mechanistic understanding to a new class of therapeutic targets

Author

Wang, Yongbo, Bao, Yufang, Zhang, Sirui, and Wang, Zefeng

Abstract

RNA splicing dysregulation is widespread in cancer. Accumulating evidence demonstrates that splicing defects resulting from splicing dysregulation play critical roles in cancer pathogenesis and can serve as new biomarkers and therapeutic targets for cancer intervention. These findings have greatly deepened the mechanistic understandings of the regulation of alternative splicing in cancer cells, leading to rapidly growing interests in targeting cancer-related splicing defects as new therapies. Here we summarize the current research progress on splicing dysregulation in cancer and highlight the strategies available or under development for targeting RNA splicing defects in cancer.

Published
2024
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169. DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation

Author

Meng, Mingqiang, Wang, Yongbo, Zhu, Manman, Tao, Xi, Mao, Zerui, Liao, Jingyi, Bian, Zhaoying, Zeng, Dong, and Ma, Jianhua

Abstract

Deep learning (DL) algorithms have achieved unprecedented success in low-dose CT (LDCT) imaging and are expected to be a new generation of CT reconstruction technology. However, most DL-based denoising models often lack the ability to generalize to unseen dose data. Moreover, most simulation tools for LDCT typically operate on proprietary projection data, which is generally not accessible without an established collaboration with CT manufacturers. To alleviate these issues, in this work, we propose a dose-agnostic dual-task transfer network, termed DDT-Net, for simultaneous LDCT denoising and simulation. Concretely, the dual-task learning module is constructed to integrate the LDCT denoising and simulation tasks into a unified optimization framework by learning the joint distribution of LDCT and NDCT data. We approximate the joint distribution of continuous dose level data by training DDT-Net with discrete dose data, which can be generalized to denoising and simulation of unseen dose data. In particular, the mixed-dose training strategy adopted by DDT-Net can promote the denoising performance of lower-dose data. The paired dataset simulated by DDT-Net can be used for data augmentation to further restore the tissue texture of LDCT images. Experimental results on synthetic data and clinical data show that the proposed DDT-Net outperforms competing methods in terms of denoising and generalization performance at unseen dose data, and it also provides a simulation tool that can quickly simulate realistic LDCT images at arbitrary dose levels.

Published
2024
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173. Glutamine synthetase limits β-catenin–mutated liver cancer growth by maintaining nitrogen homeostasis and suppressing mTORC1

Author

Dai, Weiwei, primary, Shen, Jianliang, additional, Yan, Junrong, additional, Bott, Alex J., additional, Maimouni, Sara, additional, Daguplo, Heineken Q., additional, Wang, Yujue, additional, Khayati, Khoosheh, additional, Guo, Jessie Yanxiang, additional, Zhang, Lanjing, additional, Wang, Yongbo, additional, Valvezan, Alexander, additional, Ding, Wen-Xing, additional, Chen, Xin, additional, Su, Xiaoyang, additional, Gao, Shenglan, additional, and Zong, Wei-Xing, additional

Published
2022
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179. Sedimentary ancient DNA reveals past ecosystem and biodiversity changes on the Tibetan Plateau: Overview and prospects

Author

Jia, Weihan, primary, Anslan, Sten, additional, Chen, Fahu, additional, Cao, Xianyong, additional, Dong, Hailiang, additional, Dulias, Katharina, additional, Gu, Zhengquan, additional, Heinecke, Liv, additional, Jiang, Hongchen, additional, Kruse, Stefan, additional, Kang, Wengang, additional, Li, Kai, additional, Liu, Sisi, additional, Liu, Xingqi, additional, Liu, Ying, additional, Ni, Jian, additional, Schwalb, Antje, additional, Stoof-Leichsenring, Kathleen R., additional, Shen, Wei, additional, Tian, Fang, additional, Wang, Jing, additional, Wang, Yongbo, additional, Wang, Yucheng, additional, Xu, Hai, additional, Yang, Xiaoyan, additional, Zhang, Dongju, additional, and Herzschuh, Ulrike, additional

Published
2022
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181. Analysis of the histidine kinase gene family and the role of GhHK8 in response to drought tolerance in cotton.

Author

Zhao, Lanjie, Wang, Yongbo, Cui, Ruifeng, Cui, Yupeng, Lu, Xuke, Chen, Xiugui, Wang, Junjuan, Wang, Delong, Yin, Zujun, Wang, Shuai, Peng, Fanjia, Guo, Lixue, Chen, Chao, and Ye, Wuwei

Abstract

As an important member of the two‐component system (TCS), histidine kinases (HKs) play important roles in various plant developmental processes and signal transduction in response to a wide range of biotic and abiotic stresses. So far, the HK gene family has not been investigated in Gossypium. In this study, a total of 177 HK gene family members were identified in cotton. They were further divided into seven groups, and the protein characteristics, genetic relationship, gene structure, chromosome location, collinearity, and cis‐elements identification were comprehensively analyzed. Whole genome duplication (WGD) / segmental duplication may be the reason why the number of HK genes doubled in tetraploid Gossypium species. Expression analysis revealed that most cotton HK genes were mainly expressed in the reproductive organs and the fiber at initial stage. Gene expression analysis revealed that HK family genes are involved in cotton abiotic stress, especially drought stress and salt stress. In addition, gene interaction networks showed that HKs were involved in the regulation of cotton abiotic stress, especially drought stress. VIGS experiments have shown that GhHK8 is a negative regulatory factor in response to drought stress. Our systematic analysis provided insights into the characteristics of the HK genes in cotton and laid a foundation for further exploring their potential in drought stress resistance in cotton. [ABSTRACT FROM AUTHOR]

Published
2023
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186. A widespread length-dependent splicing dysregulation in cancer

Author

Zhang, Sirui, primary, Mao, Miaowei, additional, Lv, Yuesheng, additional, Yang, Yingqun, additional, He, Weijing, additional, Song, Yongmei, additional, Wang, Yongbo, additional, Yang, Yun, additional, Al Abo, Muthana, additional, Freedman, Jennifer A., additional, Patierno, Steven R., additional, Wang, Yang, additional, and Wang, Zefeng, additional

Published
2022
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188. Integrated Analysis of Microarray, Small RNA, and Degradome Datasets Uncovers the Role of MicroRNAs in Temperature-Sensitive Genic Male Sterility in Wheat

Author

Liu, Yongjie, primary, Li, Dan, additional, Zhang, Shengquan, additional, Zhang, Liping, additional, Gong, Jie, additional, Li, Yanhong, additional, Chen, Jiamin, additional, Zhang, Fengting, additional, Liao, Xiangzheng, additional, Chen, Zhaobo, additional, Wang, Yongbo, additional, Pang, Binshuang, additional, Ma, Jinxiu, additional, Chen, Xianchao, additional, Gao, Jiangang, additional, Zhao, Changping, additional, and Gao, Shiqing, additional

Published
2022
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191. Yield-related agronomic traits evaluation for hybrid wheat and relations of ethylene and polyamines biosynthesis to filling at the mid-grain filling stage

Author

Sun Hui, Jin-xiu Ma, Jian-gang Gao, Liao Xiangzheng, Wei-bing Yang, Feng-ting Zhang, Liping Zhang, Chen Xianchao, Tian Liping, Qiling Hou, Wang Yongbo, Changping Zhao, Chen Zhaobo, and Zhilie Qin

Subjects
0106 biological sciences, Ethylene, grain filling, Heterosis, polyamines, Agriculture (General), agronomic traits, Plant Science, Biology, 01 natural sciences, Biochemistry, Ornithine decarboxylase, S1-972, chemistry.chemical_compound, Animal science, Food Animals, ethylene, heterosis, hybrid wheat, Hybrid, Ecology, food and beverages, 04 agricultural and veterinary sciences, chemistry, Yield (chemistry), Principal component analysis, 040103 agronomy & agriculture, biology.protein, 0401 agriculture, forestry, and fisheries, Animal Science and Zoology, Spermidine synthase, Starch synthase, Agronomy and Crop Science, 010606 plant biology & botany, Food Science
Abstract

Because of the yield increase of 3.5–15% compared to conventional wheat, hybrid wheat is considered to be one of the main ways to greatly improve the wheat yield in the future. In this study, we performed a principal component analysis (PCA) on two-line hybrids wheat and their parents using the grain weight (GW), the length of spike (LS), the kernel number of spike (KSN), and spike number (SPN) as variables. The results showed that the variables could be classified into three main factors, the weight factor (factor 1), the quantity factor 1 (factor 2) and the quantity factor 2 (factor 3), which accounted for 37.1, 22.6 and 18.5%, respectively of the total variance in different agronomic variables, suggesting that the GW is an important indicator for evaluating hybrid combinations, and the grain weight of restorer line (RGW) could be used as a reference for parents selection. The hybrid combination with a higher score in factor 1 direction and larger mid-parent heterosis (MPH) of the GW and its parents were used to carry out the analysis of grain filling, 1-aminocylopropane-1-carboxylicacid (ACC) and polyamine synthesis related genes. The results suggested that the GW of superior grain was significantly higher than that of inferior grains in BS1453×JS1 (H) and its parents. Both grain types showed a weight of H between BS1453 (M) and JS1(R), and a larger MPH, which may be caused by their differences in the active filling stage and the grain filling rate. The ADP-glucose pyrophosphorylase (AGPase), granule bound starch synthase I (GBSSI), starch synthase III (SSS), and starch branching enzyme-I (SBE-I) expression levels of H were intermediated between M and R, which might be closely related to MPH formation of the GW. Compared with R and H, the GW of M at maturity was the lowest. The expression levels of spermidine synthase 2 (Spd2), ornithine decarboxylase (ODC) and S-adenosylmethionine decarboxylase (SAMDC) had significantly positive correlations with the grain filling rate (r=0.77*, 0.51*, 0.59*), suggesting their major roles in the grain filling and heterosis formation. These provide a theoretical basis for improving the GW of photo-thermo-sensitive male sterile lines (PTSMSL) by changing the endogenous polyamine synthesis in commercial applications.

Published
2020

192. Regional pollen-based Holocene temperature and precipitation patterns depart from the Northern Hemisphere mean trends

Author

Herzschuh, Ulrike, Böhmer, Thomas, Chevalier, Manuel, Dallmeyer, Anne, Li, Chenzhi, Cao, Xianyong, Hébert, Raphaël, Peyron, Odile, Nazarova, Larisa, Novenko, Elena Y., Park, Jungjae, Rudaya, Natalia A., Schlütz, Frank, Shumilovskikh, Lyudmila S., Tarasov, Pavel E., Wang, Yongbo, Wen, Ruilin, Xu, Qinghai, Zheng, Zhuo, Herzschuh, Ulrike, Böhmer, Thomas, Chevalier, Manuel, Dallmeyer, Anne, Li, Chenzhi, Cao, Xianyong, Hébert, Raphaël, Peyron, Odile, Nazarova, Larisa, Novenko, Elena Y., Park, Jungjae, Rudaya, Natalia A., Schlütz, Frank, Shumilovskikh, Lyudmila S., Tarasov, Pavel E., Wang, Yongbo, Wen, Ruilin, Xu, Qinghai, and Zheng, Zhuo

Abstract

A mismatch between model- and proxy-based Holocene climate change, known as the Holocene conundrum, may partially originate from the poor spatial coverage of climate reconstructions in, for example, Asia, limiting the number of grid-cells for model-data comparisons. Here we investigate hemispheric, latitudinal, and regional mean time-series as well as anomaly maps of pollen-based reconstructions of mean annual temperature, mean July temperature, and annual precipitation from 1676 records in the Northern Hemisphere extratropics. Temperature trends show strong latitudinal patterns and differ between (sub-)continents. While the circum-Atlantic regions in Europe and eastern North America show a pronounced mid-Holocene temperature maximum, western North America shows only weak changes and Asia mostly a continuous Holocene temperature increase but with strong latitudinal differences. Likewise, precipitation trends show certain regional peculiarities such as the pronounced mid-Holocene optimum between 30 and 40° N in Asia and Holocene increasing trends in Europe and western North America which can all be linked with Holocene changes of the regional circulation pattern linked to temperature change. Given a background of strong regional heterogeneity, we conclude that the calculation of global or hemispheric means which initiated the Holocene conundrum debate should focus more on understanding the spatio-temporal patterns and their regional drivers.

Published
2022
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193. Sedimentary ancient DNA reveals past ecosystem and biodiversity changes on the Tibetan Plateau: Overview and prospects

Author

Jia, Weihan, Anslan, Sten, Chen, Fahu, Cao, Xianyong, Dong, Hailiang, Dulias, Katharina, Gu, Zhengquan, Heinecke, Liv, Jiang, Hongchen, Kruse, Stefan, Kang, Wengang, Li, Kai, Liu, Sisi, Liu, Xingqi, Liu, Ying, Ni, Jian, Schwalb, Antje, Stoof-Leichsenring, Kathleen R, Shen, Wei, Tian, Fang, Wang, Jing, Wang, Yongbo, Wang, Yucheng, Xu, Hai, Yang, Xiaoyan, Zhang, Dongju, Herzschuh, Ulrike, Jia, Weihan, Anslan, Sten, Chen, Fahu, Cao, Xianyong, Dong, Hailiang, Dulias, Katharina, Gu, Zhengquan, Heinecke, Liv, Jiang, Hongchen, Kruse, Stefan, Kang, Wengang, Li, Kai, Liu, Sisi, Liu, Xingqi, Liu, Ying, Ni, Jian, Schwalb, Antje, Stoof-Leichsenring, Kathleen R, Shen, Wei, Tian, Fang, Wang, Jing, Wang, Yongbo, Wang, Yucheng, Xu, Hai, Yang, Xiaoyan, Zhang, Dongju, and Herzschuh, Ulrike

Abstract

Alpine ecosystems on the Tibetan Plateau are being threatened by ongoing climate warming and intensified human activities. Ecological time-series obtained from sedimentary ancient DNA (sedaDNA) are essential for understanding past ecosystem and biodiversity dynamics on the Tibetan Plateau and their responses to climate change at a high taxonomic resolution. Hitherto only few but promising studies have been published on this topic. The potential and limitations of using sedaDNA on the Tibetan Plateau are not fully understood. Here, we (i) provide updated knowledge of and a brief introduction to the suitable archives, region-specific taphonomy, state-of-the-art methodologies, and research questions of sedaDNA on the Tibetan Plateau; (ii) review published and ongoing sedaDNA studies from the Tibetan Plateau; and (iii) give some recommendations for future sedaDNA study designs. Based on the current knowledge of taphonomy, we infer that deep glacial lakes with freshwater and high clay sediment input, such as those from the southern and southeastern Tibetan Plateau, may have a high potential for sedaDNA studies. Metabarcoding (for microorganisms and plants), metagenomics (for ecosystems), and hybridization capture (for prehistoric humans) are three primary sedaDNA approaches which have been successfully applied on the Tibetan Plateau, but their power is still limited by several technical issues, such as PCR bias and incompleteness of taxonomic reference databases. Setting up high-quality and open-access regional taxonomic reference databases for the Tibetan Plateau should be given priority in the future. To conclude, the archival, taphonomic, and methodological conditions of the Tibetan Plateau are favorable for performing sedaDNA studies. More research should be encouraged to address questions about long-term ecological dynamics at ecosystem scale and to bring the paleoecology of the Tibetan Plateau into a new era.

Published
2022

194. Quantitative Evaluation of In Vivo Corneal Biomechanical Properties after SMILE and FLEx Surgery by Acoustic Radiation Force Optical Coherence Elastography

Author

Gómez Álvarez-Arenas, Tomás [0000-0002-1971-7402], Zhao, Yanzhi, Zhu, Yirui, Wang, Yongbo, Yang, Hongwei, He, Xingdao, Gómez Álvarez-Arenas, Tomás, Li, Yingjie, Huang, Guofu, Gómez Álvarez-Arenas, Tomás [0000-0002-1971-7402], Zhao, Yanzhi, Zhu, Yirui, Wang, Yongbo, Yang, Hongwei, He, Xingdao, Gómez Álvarez-Arenas, Tomás, Li, Yingjie, and Huang, Guofu

Abstract

The purpose of this study is to quantitatively evaluate the differences in corneal biomechan- ics after SMILE and FLEx surgery using an acoustic radiation force optical coherence elastography system (ARF-OCE) and to analyze the effect of the corneal cap on the integrity of corneal biomechani- cal properties. A custom ring array ultrasound transducer is used to excite corneal tissue to produce Lamb waves. Depth-resolved elastic modulus images of the in vivo cornea after refractive surgery were obtained based on the phase velocity of the Lamb wave. After refractive surgery, the average elastic modulus of the corneal flap decreased (71.7 ± 24.6 kPa), while the elastic modulus of the corneal cap increased (219.5 ± 54.9 kPa). The average elastic modulus of residual stromal bed (RSB) was increased after surgery, and the value after FLEx (305.8 ± 48.5 kPa) was significantly higher than that of SMILE (221.3 ± 43.2 kPa). Compared with FLEx, SMILE preserved most of the anterior stroma with less change in corneal biomechanics, which indicated that SMILE has an advantage in preserving the integrity of the corneal biomechanical properties. Therefore, the biomechanical properties of the cornea obtained by the ARF-OCE system may be one of the essential indicators for evaluating the safety of refractive surgery.

Published
2022

195. Sedimentary ancient DNA reveals past ecosystem and biodiversity changes on the Tibetan Plateau:Overview and prospects

Author

Jia, Weihan, Anslan, Sten, Chen, Fahu, Cao, Xianyong, Dong, Hailiang, Dulias, Katharina, Gu, Zhengquan, Heinecke, Liv, Jiang, Hongchen, Kruse, Stefan, Kang, Wengang, Li, Kai, Liu, Sisi, Liu, Xingqi, Liu, Ying, Ni, Jian, Schwalb, Antje, Stoof-Leichsenring, Kathleen R., Shen, Wei, Tian, Fang, Wang, Jing, Wang, Yongbo, Wang, Yucheng, Xu, Hai, Yang, Xiaoyan, Zhang, Dongju, Herzschuh, Ulrike, Jia, Weihan, Anslan, Sten, Chen, Fahu, Cao, Xianyong, Dong, Hailiang, Dulias, Katharina, Gu, Zhengquan, Heinecke, Liv, Jiang, Hongchen, Kruse, Stefan, Kang, Wengang, Li, Kai, Liu, Sisi, Liu, Xingqi, Liu, Ying, Ni, Jian, Schwalb, Antje, Stoof-Leichsenring, Kathleen R., Shen, Wei, Tian, Fang, Wang, Jing, Wang, Yongbo, Wang, Yucheng, Xu, Hai, Yang, Xiaoyan, Zhang, Dongju, and Herzschuh, Ulrike

Abstract

Alpine ecosystems on the Tibetan Plateau are being threatened by ongoing climate warming and intensified human activities. Ecological time-series obtained from sedimentary ancient DNA (sedaDNA) are essential for understanding past ecosystem and biodiversity dynamics on the Tibetan Plateau and their responses to climate change at a high taxonomic resolution. Hitherto only few but promising studies have been published on this topic. The potential and limitations of using sedaDNA on the Tibetan Plateau are not fully understood. Here, we (i) provide updated knowledge of and a brief introduction to the suitable archives, region-specific taphonomy, state-of-the-art methodologies, and research questions of sedaDNA on the Tibetan Plateau; (ii) review published and ongoing sedaDNA studies from the Tibetan Plateau; and (iii) give some recommendations for future sedaDNA study designs. Based on the current knowledge of taphonomy, we infer that deep glacial lakes with freshwater and high clay sediment input, such as those from the southern and southeastern Tibetan Plateau, may have a high potential for sedaDNA studies. Metabarcoding (for microorganisms and plants), metagenomics (for ecosystems), and hybridization capture (for prehistoric humans) are three primary sedaDNA approaches which have been successfully applied on the Tibetan Plateau, but their power is still limited by several technical issues, such as PCR bias and incompleteness of taxonomic reference databases. Setting up high-quality and open-access regional taxonomic reference databases for the Tibetan Plateau should be given priority in the future. To conclude, the archival, taphonomic, and methodological conditions of the Tibetan Plateau are favorable for performing sedaDNA studies. More research should be encouraged to address questions about long-term ecological dynamics at ecosystem scale and to bring the paleoecology of the Tibetan Plateau into a new era.

Published
2022

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