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2,023 results on '"Wang, Guo Dong"'

13. Author Correction: Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture

Author

Meadows, Jennifer R. S., Kidd, Jefrey M., Wang, Guo-Dong, Parker, Heidi G., Schall, Peter Z., Bianchi, Matteo, Christmas, Matthew J., Bougiouri, Katia, Buckley, Reuben M., Hitte, Christophe, Nguyen, Anthony K., Wang, Chao, Jagannathan, Vidhya, Niskanen, Julia E., Frantz, Laurent A. F., Arumilli, Meharji, Hundi, Sruthi, Lindblad-Toh, Kerstin, Ginja, Catarina, Agustina, Kadek Karang, André, Catherine, Boyko, Adam R., Davis, Brian W., Drögemüller, Michaela, Feng, Xin-Yao, Gkagkavouzis, Konstantinos, Iliopoulos, Giorgos, Harris, Alexander C., Hytönen, Marjo K., Kalthof, Daniela C., Liu, Yan-Hu, Lymberakis, Petros, Poulakakis, Nikolaos, Pires, Ana Elisabete, Racimo, Fernando, Ramos-Almodovar, Fabian, Savolainen, Peter, Venetsani, Semina, Tammen, Imke, Triantafyllidis, Alexandros, vonHoldt, Bridgett, Wayne, Robert K., Larson, Greger, Nicholas, Frank W., Lohi, Hannes, Leeb, Tosso, Zhang, Ya-Ping, and Ostrander, Elaine A.

Published
2023
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14. Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture

Author

Meadows, Jennifer R. S., Kidd, Jeffrey M., Wang, Guo-Dong, Parker, Heidi G., Schall, Peter Z., Bianchi, Matteo, Christmas, Matthew J., Bougiouri, Katia, Buckley, Reuben M., Hitte, Christophe, Nguyen, Anthony K., Wang, Chao, Jagannathan, Vidhya, Niskanen, Julia E., Frantz, Laurent A. F., Arumilli, Meharji, Hundi, Sruthi, Lindblad-Toh, Kerstin, Ginja, Catarina, Agustina, Kadek Karang, André, Catherine, Boyko, Adam R., Davis, Brian W., Drögemüller, Michaela, Feng, Xin-Yao, Gkagkavouzis, Konstantinos, Iliopoulos, Giorgos, Harris, Alexander C., Hytönen, Marjo K., Kalthoff, Daniela C., Liu, Yan-Hu, Lymberakis, Petros, Poulakakis, Nikolaos, Pires, Ana Elisabete, Racimo, Fernando, Ramos-Almodovar, Fabian, Savolainen, Peter, Venetsani, Semina, Tammen, Imke, Triantafyllidis, Alexandros, vonHoldt, Bridgett, Wayne, Robert K., Larson, Greger, Nicholas, Frank W., Lohi, Hannes, Leeb, Tosso, Zhang, Ya-Ping, and Ostrander, Elaine A.

Published
2023
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28. Associations of combined healthy lifestyles with cancer morbidity and mortality among individuals with diabetes: results from five cohort studies in the USA, the UK and China

Author

Zhang, Yan-Bo, Pan, Xiong-Fei, Lu, Qi, Wang, Yan-Xiu, Geng, Ting-Ting, Zhou, Yan-Feng, Liao, Linda M., Tu, Zhou-Zheng, Chen, Jun-Xiang, Xia, Peng-Fei, Wang, Yi, Wan, Zhen-Zhen, Guo, Kun-Quan, Yang, Kun, Yang, Han-Dong, Chen, Shuo-Hua, Wang, Guo-Dong, Han, Xu, Wang, Yi-Xin, Yu, Danxia, He, Mei-An, Zhang, Xiao-Min, Liu, Lie-Gang, Wu, Tangchun, Wu, Shou-Ling, Liu, Gang, and Pan, An

Published
2022
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29. Study on Estimating Quantum Discord by Neural Network with Prior Knowledge

Author

Liu, Yong-Lei, Wang, An-Min, Wang, Guo-Dong, Sun, Yi, and Zhang, Peng-Fei

Subjects
Quantum Physics
Abstract

Machine learning has achieved success in many areas because of its powerful fitting ability, so we hope it can help us to solve some significant physical quantitative problems, such as quantum correlation. In this research we will use neural networks to predict the value of quantum discord. Quantum discord is a measure of quantum correlation which is defined as the difference between quantum mutual information and classical correlation for a bipartite system. Since the definition contains an optimization term, it makes analytically solving hard. For some special cases and small systems, such as two-qubit systems and some X-states, the explicit solutions have been calculated. However, for general cases, we still know very little. Therefore, we study the feasibility of estimating quantum discord by machine learning method on two-qubit systems. In order to get an interpretable and high performance model, we modify the ordinary neural network by introducing some prior knowledge which come from the analysis about quantum discord. Our results show that prior knowledge actually improve the performance of neural network.

Published
2019

31. TDP-43 facilitates milk lipid secretion by post-transcriptional regulation of Btn1a1 and Xdh

Author

Zhao, Limin, Ke, Hao, Xu, Haibo, Wang, Guo-Dong, Zhang, Honglei, Zou, Li, Xiang, Shu, Li, Mengyuan, Peng, Li, Zhou, Mingfang, Li, Lingling, Ao, Lei, Yang, Qin, Shen, Che-Kun James, Yi, Ping, Wang, Lu, and Jiao, Baowei

Subjects
Genetics, Nutrition, Clinical Research, 1.1 Normal biological development and functioning, Underpinning research, Animals, Breast, Butyrophilins, DNA-Binding Proteins, Epithelial Cells, Female, Gene Expression Regulation, Humans, Lactation, Lactation Disorders, Lipid Droplets, Lipids, Mammary Glands, Animal, Mice, Mice, Knockout, Milk, RNA, Messenger, Transcriptome, Xanthine Dehydrogenase
Abstract

Milk lipid secretion is a critical process for the delivery of nutrition and energy from parent to offspring. However, the underlying molecular mechanism is less clear. Here we report that TDP-43, a RNA-binding protein, underwent positive selection in the mammalian lineage. Furthermore, TDP-43 gene (Tardbp) loss induces accumulation of large lipid droplets and severe lipid secretion deficiency in mammary epithelial cells to outside alveolar lumens, eventually resulting in lactation failure and pup starvation within three weeks postpartum. In human milk samples from lactating women, the expression levels of TDP-43 is positively correlated with higher milk output. Mechanistically, TDP-43 exerts post-transcriptional regulation of Btn1a1 and Xdh mRNA stability, which are required for the secretion of lipid droplets from epithelial cells to the lumen. Taken together, our results highlights the critical role of TDP-43 in milk lipid secretion, providing a potential strategy for the screening and intervention of clinical lactation insufficiency.

Published
2020

35. Association of Combined Healthy Lifestyles With Cardiovascular Disease and Mortality of Patients With Diabetes: An International Multicohort Study

Author

Zhang, Yan-Bo, Pan, Xiong-Fei, Lu, Qi, Wang, Yan-Xiu, Geng, Ting-Ting, Zhou, Yan-Feng, Liao, Linda M., Tu, Zhou-Zheng, Chen, Jun-Xiang, Xia, Peng-Fei, Wang, Yi, Wan, Zhen-Zhen, Guo, Kun-Quan, Yang, Kun, Yang, Han-Dong, Chen, Shuo-Hua, Wang, Guo-Dong, Han, Xu, Wang, Yi-Xin, Yu, Danxia, He, Mei-An, Zhang, Xiao-Min, Liu, Lie-Gang, Wu, Tangchun, Wu, Shou-Ling, Liu, Gang, and Pan, An

Published
2023
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36. Historic dog furs unravel the origin and artificial selection of modern Nordic Lapphund and Elkhound dog breeds

Author

Wang, Shi-Zhi, primary, Yan, Yu, additional, Widlund, Malin, additional, Qian, Chen-Chang, additional, Zhang, Liang-Liang, additional, Zhang, Shao-Jie, additional, Li, Zi-Mai, additional, Cao, Peng, additional, Dai, Qing-Yan, additional, Feng, Xiao-Tian, additional, Liu, Feng, additional, Wang, Lu, additional, Gao, Chao, additional, Fu, Qiao-Mei, additional, Hytönen, Marjo K, additional, Lohi, Hannes, additional, Savolainen, Peter, additional, and Wang, Guo-Dong, additional

Published
2024
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37. Determinants of de novo mutations in extended pedigrees of 43 dog breeds

Author

Zhang, Shao-Jie, primary, Ma, Jilong, additional, Riera, Meritxell, additional, Besenbacher, Søren, additional, Niskanen, Julia, additional, Salokorpi, Noora, additional, Hundi, Sruthi, additional, Hytönen, Marjo K, additional, Zhou, Tong, additional, Li, Gui-Mei, additional, Ostrander, Elaine A., additional, Schierup, Mikkel Heide, additional, Lohi, Hannes, additional, and Wang, Guo-Dong, additional

Published
2024
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47. Effect of obesity and obesity trajectories on the risk of cardiovascular diseases in adult male with incident NAFLD in Northern China

Author

HU Shi-qi, LAN Yan-qi, WU Shou-ling, WANG Xiao-mo, CHEN Shuo-hua, WANG Guo-dong, WANG Li

Subjects
obesity, non-alcoholic fatty liver disease, cardiovascular diseases, cohort study, Medicine
Abstract

Objective To investigate the baseline and effect of obesity and obesity trajectories on cardiovascular diseases(CVDs) in adult male with incident non-alcoholic fatty liver disease(NAFLD). Methods Adult men with newly diagnosed NAFLD and without CVDs in the Kailuan cohort study from 2006—2013 were enrolled. The subjects were divided into the nonobese group and obese group according to the definition of body mass index(BMI) or waist circumference (WC), then further divided by the obesity trajectories at the first follow-up (1-4 years). Kaplan-Meier method was used to estimate the incidence rate of CVDs for each subgroup. In addition, the Fine and Gray competing risk Cox regression model was used to compare CVDs risk in NAFLD with different baseline or trajectories in obesity measures after 1-4 years of NAFLD diagnosis. Results A total of 8 591 incident NAFLD patients were included. During a median follow-up of 9.41 years, 349 cases were found with CVDs. The 10-year cumulative incidence rates of CVDs were 3.3% and 4.3% in the nonobese and obese groups according to the definition of waist circumference, respectively (log-rank test, P＜0.05). However, the significance disappeared after adjusting the competing risk of death and other covariates. Similar results were observed based on the definition of BMI. Also, further analysis was conducted for the association trajectories in obesity measures and CVDs. The 8-year cumulative incidence rates of CVDs were 2.8%, 3.6%, 4.2%, and 3.3% in the constantly nonobese group, nonobese-obese, obese-nonobese, and constantly obese group, respectively (log-rank test, P＞0.05). Compared to the subjects with constantly nonobese defined by BMI, those who transition from nonobese to obese increased the CVDs risk by 57% (hazard ratio [HR]:1.57; 95% CI:1.03~2.38; P＜0.05). The conclusion remained even after adjusting baseline BMI (HR:1.56; 95% CI:1.02~2.37; P＜0.05). Conclusions Short-term weight gain in men with incident NAFLD led a higher CVDs risk, suggesting the importance of weight control in preventing CVDs once NAFLD occurrence.

Published
2022
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48. Underwater Image Quality Assessment Based on HVS

Author

LU Ting, HOU Guo-jia, PAN Zhen-kuan, WANG Guo-dong

Subjects
image quality assessment, no-reference, human visual system, colorful measure, contrast measure, sharpness measure, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

Due to the absorption and scattering effects under water,underwater image often suffers from blurring,low contrast,color casting and so on.The degraded images will decline the accuracy and effectiveness in underwater archaeology,marine ecological research,underwater target detection and tracking.On the other hand,underwater image quality assessment plays a key goal in the development and exploration of the ocean.An effective underwater image quality evaluation system can provide a gui-dance for optimizing underwater enhancement and restoration algorithms and promote the progress of underwater vision.Therefore,it is desire to design an effective and robust algorithm for underwater image quality evaluation.Since the atmospheric image quality evaluation methods don’t consider the characteristics of the water absorption of light,they aren’t suitable for evaluating underwater image quality.Additionally,there are few effective metrics for underwater images quality evaluation up to now.To address this problem,we propose a new no-reference underwater image quality measure containing color index,contrast,and sharpness indexes,dubbed CCS,which has stronger correlation with human subjective perception.These attributes not only are sensitive to the physical characteristics of the water,but also the human visual system (HVS) is sensitive to the changes of the visual properties such as color,contrast,and edge structures.To verify the performance of the proposed CCS,we conduct considerable experiments on a small underwater image dataset comparing with the other four non-reference metrics including CPBD,BRISQUE,UIQM and UCIQE.It can be seen that our CCS metric is higher about 13% than UIQM in terms of RMSE,moreover,is higher above 10% than UIQM and UCIQE in terms of PLCC,SROCC,and KROCC.Experimental results demonstrate that the proposed CCS metric has a higher correlation with subjective evaluations,which can effectively and accurately evaluate the underwater image quality.

Published
2022
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