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2,103 results on '"Qian, Yong"'

6. Association Between Whole Blood–Derived Mitochondrial DNA Copy Number, Low‐Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk

Author

Liu, Xue, Sun, Xianbang, Zhang, Yuankai, Jiang, Wenqing, Lai, Meng, Wiggins, Kerri L, Raffield, Laura M, Bielak, Lawrence F, Zhao, Wei, Pitsillides, Achilleas, Haessler, Jeffrey, Zheng, Yinan, Blackwell, Thomas W, Yao, Jie, Guo, Xiuqing, Qian, Yong, Thyagarajan, Bharat, Pankratz, Nathan, Rich, Stephen S, Taylor, Kent D, Peyser, Patricia A, Heckbert, Susan R, Seshadri, Sudha, Boerwinkle, Eric, Grove, Megan L, Larson, Nicholas B, Smith, Jennifer A, Vasan, Ramachandran S, Fitzpatrick, Annette L, Fornage, Myriam, Ding, Jun, Carson, April P, Abecasis, Goncalo, Dupuis, Josée, Reiner, Alexander, Kooperberg, Charles, Hou, Lifang, Psaty, Bruce M, Wilson, James G, Levy, Daniel, Rotter, Jerome I, Bis, Joshua C, Consortium, TOPMed mtDNA Working Group in NHLBI Trans‐Omics for Precision Medicine, Satizabal, Claudia L, Arking, Dan E, and Liu, Chunyu

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Obesity, Prevention, Heart Disease, Atherosclerosis, Heart Disease - Coronary Heart Disease, Aging, Cardiovascular, Genetics, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Humans, DNA, Mitochondrial, Risk Factors, Cardiovascular Diseases, Cholesterol, LDL, DNA Copy Number Variations, Cross-Sectional Studies, Coronary Disease, Cholesterol, HDL, Diabetes Mellitus, Hypertension, cardiometabolic risk factors, cardiovascular disease, low-density lipoprotein cholesterol, Mendelian randomization, mitochondrial DNA copy number, vascular atherosclerosis, TOPMed mtDNA Working Group in NHLBI Trans‐Omics for Precision Medicine (TOPMed) Consortium, low‐density lipoprotein cholesterol, Cardiorespiratory Medicine and Haematology, Cardiovascular medicine and haematology
Abstract

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P

Published
2023

10. Multisensory gamma stimulation promotes glymphatic clearance of amyloid

Author

Murdock, Mitchell H., Yang, Cheng-Yi, Sun, Na, Pao, Ping-Chieh, Blanco-Duque, Cristina, Kahn, Martin C., Kim, TaeHyun, Lavoie, Nicolas S., Victor, Matheus B., Islam, Md Rezaul, Galiana, Fabiola, Leary, Noelle, Wang, Sidney, Bubnys, Adele, Ma, Emily, Akay, Leyla A., Sneve, Madison, Qian, Yong, Lai, Cuixin, McCarthy, Michelle M., Kopell, Nancy, Kellis, Manolis, Piatkevich, Kiryl D., Boyden, Edward S., and Tsai, Li-Huei

Published
2024
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13. Exploring textual–visual strategies in internet-based light food advertising: a study of Taobao advertisements in China

Author

Qian Yong and Xiaoqin Rao

Subjects
History of scholarship and learning. The humanities, AZ20-999, Social Sciences
Abstract

Abstract Amidst global health concerns such as COVID-19 and rising obesity rates, the connection between food choices, societal well-being, and cultural shifts has gained attention. In China, the rise of “light food” consumption on platforms like Taobao reflects a growing trend towards health-conscious dietary preferences. With a dataset comprising 633 images and 45,817 words, condensed into 50 images for analysis, this research aims to understand how these advertisements influence perceptions of healthiness and desirability, and whether there is a discrepancy between advertised health benefits and actual nutritional content. This study delves into the advertising strategies employed for light food products on the Taobao platform in China, utilizing a Textual–Visual Thematic Analysis (TVTA) framework. Noteworthy findings include: (1) Internet-based light food advertising adopts a dual textual and visual approach. (2) Identification of prevalent multimodal devices, such as medium shots, varied camera angles, vibrant colors, and large size. (3) Uncovering inconsistencies in presentation that may pose potential consumer misperceptions. These discoveries underscore the nuanced landscape of light food advertising, offering valuable insights for both academia and industry.

Published
2024
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15. A genetically encoded far-red fluorescent calcium ion biosensor derived from a biliverdin-binding protein.

Author

Ota, Keisuke, Qian, Yong, Zhu, Wenchao, Drobizhev, Mikhail, Nasu, Yusuke, Zhang, Jin, Bito, Haruhiko, Campbell, Robert, Hashizume, Rina, Fujii, Hajime, and Mehta, Sohum

Subjects
bacterial phytochrome-derived fluorescent proteins, calcium ion imaging, far-red fluorescence, protein engineering, Animals, Biliverdine, Biosensing Techniques, Calcium, Carrier Proteins, HEK293 Cells, Humans, Ions, Luminescent Proteins, Mice
Abstract

Far-red and near-infrared (NIR) genetically encoded calcium ion (Ca2+ ) indicators (GECIs) are powerful tools for in vivo and multiplexed imaging of neural activity and cell signaling. Inspired by a previous report to engineer a far-red fluorescent protein (FP) from a biliverdin (BV)-binding NIR FP, we have developed a far-red fluorescent GECI, designated iBB-GECO1, from a previously reported NIR GECI. iBB-GECO1 exhibits a relatively high molecular brightness, an inverse response to Ca2+ with ΔF/Fmin  = -13, and a near-optimal dissociation constant (Kd ) for Ca2+ of 105 nM. We demonstrate the utility of iBB-GECO1 for four-color multiplexed imaging in MIN6 cells and five-color imaging in HEK293T cells. Like other BV-binding GECIs, iBB-GECO1 did not give robust signals during in vivo imaging of neural activity in mice, but did provide promising results that will guide future engineering efforts. SIGNIFICANCE: Genetically encoded calcium ion (Ca2+ ) indicators (GECIs) compatible with common far-red laser lines (~630-640 nm) on commercial microscopes are of critical importance for their widespread application to deep-tissue multiplexed imaging of neural activity. In this study, we engineered a far-red excitable fluorescent GECI, designated iBB-GECO1, that exhibits a range of preferable specifications such as high brightness, large fluorescence response to Ca2+ , and compatibility with multiplexed imaging in mammalian cells.

Published
2022

40. Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

Author

Evangelou, Evangelos, Warren, Helen R., Gao, He, Ntritsos, Georgios, Dimou, Niki, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G., Jackson, Anne U., Li -Gao, Ruifang, Lin, Wei -Yu, Luan, Jian'an, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M., Zhao, Jing -Hua, Amouyel, Philippe, Connell, John, de Mutsert, Renée, Doney, Alex S.F., Farrall, Martin, Menni, Cristina, Morris, Andrew D., Noordam, Raymond, Paré, Guillaume, Poulter, Neil R., Shields, Denis C., Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E., Ayers, Kristin L., Barbieri, Caterina M., Batini, Chiara, Bis, Joshua C., Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I., Bottinger, Erwin P., Braund, Peter S., Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C., Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Francis, Cordell, Heather J., Davies, Gail, de Borst, Martin H., de Geus, Eco J., Deary, Ian J., Deelen, Joris, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcus, Ehret, Georg B., Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A. Mesut, Ferreira, Teresa, Frånberg, Mattias, Franco, Oscar H., Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J., Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B., Harris, Sarah E., Hartman, Catharina A., Havulinna, Aki S., Hicks, Andrew A., Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E., Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo -Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D., Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D., Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S., Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Maris, Larson, Marty, Launer, Lenore J., Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C.M., Lin, Li, Lind, Lars, Lindgren, Cecilia M., Liu, YongMei, Loos, Ruth J.F., Lopez, Lorna M., Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P., Morrison, Alanna C., Munson, Peter J., Nalls, Mike A., Nandakumar, Priyanka, Nelson, Christopher P., Niiranen, Teemu, Nolte, Ilja M., Nutile, Teresa, Oldehinkel, Albertine J., Oostra, Ben A., O'Reilly, Paul F., Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W.J.H., Perola, Markus, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P., Nguyen, Quang Tri, Raitakari, Olli T., Rettig, Rainer, Rice, Kenneth, Ridker, Paul M., Ried, Janina S., Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M., Rotter, Jerome I., Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F., Salomaa, Veikko, Samani, Nilesh J., Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V., Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M., Stott, David J., Strachan, David P., Strawbridge, Rona J., Sundström, Johan, Swertz, Morris A., Taylor, Kent D., Teumer, Alexander, Tobin, Martin D., Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G., Vaez, Ahmad, van der Most, Peter J., van Duijn, Cornelia M., Verwoert, Germaine C., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H., Willemsen, Gonneke, Wilson, James F., Wright, Alan F., Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R., Butterworth, Adam S., Chasman, Daniel I., Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M.M., Laakso, Markku, Lakatta, Edward G., Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O., Palmer, Colin N.A., Risch, Lorenz, Scott, Robert A., Scott, Rodney J., Sever, Peter, Spector, Tim D., van der Harst, Pim, Wareham, Nicholas J., Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B., Newton-Cheh, Christopher, Brown, Morris J., Metspalu, Andres, Psaty, Bruce M., Wain, Louise V., Elliott, Paul, Caulfield, Mark J., Ganji-Arjenaki, Mahboube, Kamali, Zoha, Sardari, Soroush, and de Borst, Martin

Published
2024
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43. Comparison of Three Models for Predicting Water Quality in Mishan Reservoir

Author

HUANG Linxian, ZHANG Mingfang, QIAN Yong, XING Xuerui, XING Liting, and HAN Zhong

Subjects
time series model, lstm model, conductivity, water quality prediction, mishan reservoir, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978
Abstract

【Objective】 Accurate prediction of water quality is of great importance for protecting water ecological environment and improving water resource management, but difficult due to the combined influence of various factors including human activities, rainfall, temperature and hydrodynamic conditions which are complex and uncertain. In this paper we compare three models, the SARIMA model, Holt-Winters model and LSTM neural network model, for predicting water quality of reservoir. 【Method】 Electric conductivity of water was used as a proxy for water quality. Data measured monthly from 2012—2018 from Mishan Reservoir was used for model training, and the data measured in 2019 was used to test the models. 【Result】 The SARIMA and Holt-Winters models are comparatively simple, but because they only consider time series of water quality data, their accuracy is low. In contrast, the LSTM neural network model considers factors that affect water quality and implicitly represents the nonlinearity of the factors in their impact on water quality, it is more accurate than other two models. 【Conclusion】 In general, the LSTM neural network model is reliably, giving rise to large error only when there were sudden changes in the conductivity. Overall, it is reliable and accurate for predicting change in water quality induced by variations in the environment.

Published
2023
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44. Optical Feature Analysis and Diagnosis of Partial Discharge in C4F7N/CO2 Based on Multispectral Array

Author

LI Ze, QIAN Yong, ZANG Yiming, ZHOU Xiaoli, SHENG Gehao, JIANG Xiuchen

Subjects
c4f7n/co2, partial discharge (pd), multispectral array, optical detection, pattern recognition, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989
Abstract

Optical detection of partial discharge (PD) is an important way to reflect the insulation status of equipment. C4F7N/CO2 gas mixture is one of the most potential substitutes for SF6 at present, but there is a lack of research on its optical PD characteristics and diagnostic methods. In this paper, a PD multispectral array detection platform that can collect 7 characteristic bands is constructed, and 4 kinds of PD defects are produced. The similarities and differences of the PD multispectral characteristics in phase distribution, energy distribution, and feature stacking map under the conditions of 5 different ratios of C4F7N/CO2 gas mixture and pure SF6 gas are analyzed. Finally, a novel method of PD diagnosis based on multispectral features (MF) and k-nearest neighbors (KNN) is proposed. The experimental results show that the fault recognition accuracy in pure SF6 can reach 96.2%. The recognition rate of C4F7N/CO2 gas mixture is above 88%, and the highest accuracy rate is 91.1%. This method has a guiding significance for the PD diagnosis of environmentally friendly gas-insulated equipment, and provides a new route for traditional PD detection and diagnosis.

Published
2023
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