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5,762 results on '"Wang, LiXin"'

1. Challenges and Future Directions in Quantifying Terrestrial Evapotranspiration

Author

Yi, Koong, Senay, Gabriel B, Fisher, Joshua B, Wang, Lixin, Suvočarev, Kosana, Chu, Housen, Moore, Georgianne W, Novick, Kimberly A, Barnes, Mallory L, Keenan, Trevor F, Mallick, Kanishka, Luo, Xiangzhong, Missik, Justine EC, Delwiche, Kyle B, Nelson, Jacob A, Good, Stephen P, Xiao, Xiangming, Kannenberg, Steven A, Ahmadi, Arman, Wang, Tianxin, Bohrer, Gil, Litvak, Marcy E, Reed, David E, Oishi, A Christopher, Torn, Margaret S, and Baldocchi, Dennis

Subjects
Physical Geography and Environmental Geoscience, Civil Engineering, Environmental Engineering, Hydrology, Civil engineering, Environmental engineering
Abstract

Abstract: Terrestrial evapotranspiration is the second‐largest component of the land water cycle, linking the water, energy, and carbon cycles and influencing the productivity and health of ecosystems. The dynamics of ET across a spectrum of spatiotemporal scales and their controls remain an active focus of research across different science disciplines. Here, we provide an overview of the current state of ET science across in situ measurements, partitioning of ET, and remote sensing, and discuss how different approaches complement one another based on their advantages and shortcomings. We aim to facilitate collaboration among a cross‐disciplinary group of ET scientists to overcome the challenges identified in this paper and ultimately advance our integrated understanding of ET.

Published
2024

2. Responses of Marginal and Intrinsic Water‐Use Efficiency to Changing Aridity Using FLUXNET Observations

Author

Yi, Koong, Novick, Kimberly A, Zhang, Quan, Wang, Lixin, Hwang, Taehee, Yang, Xi, Mallick, Kanishka, Béland, Martin, Senay, Gabriel B, and Baldocchi, Dennis D

Subjects
Earth Sciences, Geophysics, Clean Water and Sanitation, climate change, drought, eddy covariance, FLUXNET, stomatal optimization theory, vapor pressure deficit, water-use efficiency
Abstract

According to classic stomatal optimization theory, plant stomata are regulated to maximize carbon assimilation for a given water loss. A key component of stomatal optimization models is marginal water-use efficiency (mWUE), the ratio of the change of transpiration to the change in carbon assimilation. Although the mWUE is often assumed to be constant, variability of mWUE under changing hydrologic conditions has been reported. However, there has yet to be a consensus on the patterns of mWUE variabilities and their relations with atmospheric aridity. We investigate the dynamics of mWUE in response to vapor pressure deficit (VPD) and aridity index using carbon and water fluxes from 115 eddy covariance towers available from the global database FLUXNET. We demonstrate a non-linear mWUE-VPD relationship at a sub-daily scale in general; mWUE varies substantially at both low and high VPD levels. However, mWUE remains relatively constant within the mid-range of VPD. Despite the highly non-linear relationship between mWUE and VPD, the relationship can be informed by the strong linear relationship between ecosystem-level inherent water-use efficiency (IWUE) and mWUE using the slope, m*. We further identify site-specific m* and its variability with changing site-level aridity across six vegetation types. We suggest accurately representing the relationship between IWUE and VPD using Michaelis–Menten or quadratic functions to ensure precise estimation of mWUE variability for individual sites.

Published
2024

7. Vulnerability of mineral-associated soil organic carbon to climate across global drylands

Author

Díaz-Martínez, Paloma, Maestre, Fernando T., Moreno-Jiménez, Eduardo, Delgado-Baquerizo, Manuel, Eldridge, David J., Saiz, Hugo, Gross, Nicolas, Le Bagousse-Pinguet, Yoann, Gozalo, Beatriz, Ochoa, Victoria, Guirado, Emilio, García-Gómez, Miguel, Valencia, Enrique, Asensio, Sergio, Berdugo, Miguel, Martínez-Valderrama, Jaime, Mendoza, Betty J., García-Gil, Juan C., Zaccone, Claudio, Panettieri, Marco, García-Palacios, Pablo, Fan, Wei, Benavente-Ferraces, Iria, Rey, Ana, Eisenhauer, Nico, Cesarz, Simone, Abedi, Mehdi, Ahumada, Rodrigo J., Alcántara, Julio M., Amghar, Fateh, Aramayo, Valeria, Arroyo, Antonio I., Bahalkeh, Khadijeh, Ben Salem, Farah, Blaum, Niels, Boldgiv, Bazartseren, Bowker, Matthew A., Bran, Donaldo, Branquinho, Cristina, Bu, Chongfeng, Cáceres, Yonatan, Canessa, Rafaella, Castillo-Monroy, Andrea P., Castro, Ignacio, Castro-Quezada, Patricio, Chibani, Roukaya, Conceição, Abel A., Currier, Courtney M., Darrouzet-Nardi, Anthony, Deák, Balázs, Dickman, Christopher R., Donoso, David A., Dougill, Andrew J., Durán, Jorge, Ejtehadi, Hamid, Espinosa, Carlos, Fajardo, Alex, Farzam, Mohammad, Ferrante, Daniela, Fraser, Lauchlan H., Gaitán, Juan J., Gusman Montalván, Elizabeth, Hernández-Hernández, Rosa M., von Hessberg, Andreas, Hölzel, Norbert, Huber-Sannwald, Elisabeth, Hughes, Frederic M., Jadán-Maza, Oswaldo, Geissler, Katja, Jentsch, Anke, Ju, Mengchen, Kaseke, Kudzai F., Kindermann, Liana, Koopman, Jessica E., Le Roux, Peter C., Liancourt, Pierre, Linstädter, Anja, Liu, Jushan, Louw, Michelle A., Maggs-Kölling, Gillian, Makhalanyane, Thulani P., Issa, Oumarou Malam, Marais, Eugene, Margerie, Pierre, Mazaneda, Antonio J., McClaran, Mitchel P., Messeder, João Vitor S., Mora, Juan P., Moreno, Gerardo, Munson, Seth M., Nunes, Alice, Oliva, Gabriel, Oñatibia, Gastón R., Osborne, Brooke, Peter, Guadalupe, Pueyo, Yolanda, Quiroga, R. Emiliano, Reed, Sasha C., Reyes, Victor M., Rodríguez, Alexandra, Ruppert, Jan C., Sala, Osvaldo, Salah, Ayman, Sebei, Julius, Sloan, Michael, Solongo, Shijirbaatar, Stavi, Ilan, Stephens, Colton R. A., Teixido, Alberto L., Thomas, Andrew D., Throop, Heather L., Tielbörger, Katja, Travers, Samantha, Val, James, Valko, Orsolya, van den Brink, Liesbeth, Velbert, Frederike, Wamiti, Wanyoike, Wang, Deli, Wang, Lixin, Wardle, Glenda M., Yahdjian, Laura, Zaady, Eli, Zeberio, Juan M., Zhang, Yuanming, Zhou, Xiaobing, and Plaza, César

Published
2024
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9. Unforeseen plant phenotypic diversity in a dry and grazed world

Author

Gross, Nicolas, Maestre, Fernando T., Liancourt, Pierre, Berdugo, Miguel, Martin, Raphaël, Gozalo, Beatriz, Ochoa, Victoria, Delgado-Baquerizo, Manuel, Maire, Vincent, Saiz, Hugo, Soliveres, Santiago, Valencia, Enrique, Eldridge, David J., Guirado, Emilio, Jabot, Franck, Asensio, Sergio, Gaitán, Juan J., García-Gómez, Miguel, Martínez, Paloma, Martínez-Valderrama, Jaime, Mendoza, Betty J., Moreno-Jiménez, Eduardo, Pescador, David S., Plaza, César, Pijuan, Ivan Santaolaria, Abedi, Mehdi, Ahumada, Rodrigo J., Amghar, Fateh, Arroyo, Antonio I., Bahalkeh, Khadijeh, Bailey, Lydia, Ben Salem, Farah, Blaum, Niels, Boldgiv, Bazartseren, Bowker, Matthew A., Branquinho, Cristina, van den Brink, Liesbeth, Bu, Chongfeng, Canessa, Rafaella, Castillo-Monroy, Andrea del P., Castro, Helena, Castro, Patricio, Chibani, Roukaya, Conceição, Abel Augusto, Darrouzet-Nardi, Anthony, Davila, Yvonne C., Deák, Balázs, Donoso, David A., Durán, Jorge, Espinosa, Carlos, Fajardo, Alex, Farzam, Mohammad, Ferrante, Daniela, Franzese, Jorgelina, Fraser, Lauchlan, Gonzalez, Sofía, Gusman-Montalvan, Elizabeth, Hernández-Hernández, Rosa Mary, Hölzel, Norbert, Huber-Sannwald, Elisabeth, Jadan, Oswaldo, Jeltsch, Florian, Jentsch, Anke, Ju, Mengchen, Kaseke, Kudzai F., Kindermann, Liana, le Roux, Peter, Linstädter, Anja, Louw, Michelle A., Mabaso, Mancha, Maggs-Kölling, Gillian, Makhalanyane, Thulani P., Issa, Oumarou Malam, Manzaneda, Antonio J., Marais, Eugene, Margerie, Pierre, Hughes, Frederic Mendes, Messeder, João Vitor S., Mora, Juan P., Moreno, Gerardo, Munson, Seth M., Nunes, Alice, Oliva, Gabriel, Oñatibia, Gaston R., Peter, Guadalupe, Pueyo, Yolanda, Quiroga, R. Emiliano, Ramírez-Iglesias, Elizabeth, Reed, Sasha C., Rey, Pedro J., Reyes Gómez, Víctor M., Rodríguez, Alexandra, Rolo, Victor, Rubalcaba, Juan G., Ruppert, Jan C., Sala, Osvaldo, Salah, Ayman, Sebei, Phokgedi Julius, Stavi, Ilan, Stephens, Colton, Teixido, Alberto L., Thomas, Andrew D., Throop, Heather L., Tielbörger, Katja, Travers, Samantha, Undrakhbold, Sainbileg, Val, James, Valkó, Orsolya, Velbert, Frederike, Wamiti, Wanyoike, Wang, Lixin, Wang, Deli, Wardle, Glenda M., Wolff, Peter, Yahdjian, Laura, Yari, Reza, Zaady, Eli, Zeberio, Juan Manuel, Zhang, Yuanling, Zhou, Xiaobing, and Le Bagousse-Pinguet, Yoann

Published
2024
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13. Reference intervals for cardiometabolic risk factors in China: a national multicenter cross-sectional study on an adult population sample.

Author

Fan, Xuesong, Wang, Xianjun, Zhao, Hongmei, Xiong, Daqian, Hu, Min, Wang, Lixin, Pan, Aiping, Gabelli, Carlo, Budoff, Matthew, and Yuan, Hui

Subjects
Blood lipids, cardiovascular disease (CVD), reference intervals (RIs), risk factors
Abstract

BACKGROUND: The reference intervals (RIs) of adult blood lipid parameters currently used in China are not derived from the results of research in local populations and have not been adjusted for age and sex. In this study, we aimed to determine accurate RIs for blood lipid parameters and blood glucose (GluG) for Chinese adults using a national multicenter study. METHODS: A total of 11,333 adults between 18 and 90 years of age were recruited in seven representative regions in China between June 2020 and December 2020. Hospitals participating in the study were regrouped into two geographical regions, southern China (Changsha, Chengdu, Hangzhou, and Nanning) and northern China (Beijing, Shenyang, and Ningxia), according to their geographical and administrative location. All samples were freshly collected and measured collectively in one laboratory on the Mindray full Automatic biochemical analyzer chemistry BS2000 analytical systems. Outliers were removed using the Tukey test. Three-level nested analysis of variance and scatter plot were used to explore the variations in sex, age, and region. Percentile curves of each indicator were plotted using the least mean square (LMS) method. The lower limit (2.5th percentile) and the upper limit (97.5th percentile) of the RI were determined by using nonparametric statistical methods. We also calculated the 90% confidence interval (CI) for the lower and upper limits. RESULTS: A total of 8,283 participants were enrolled in the final analysis, with 3,593 (43.4%) men and 4,690 (56.6%) women. Regionality was observed in three analytes [small dense low density lipoprotein cholesterol (sd-LDLC), GluG, and apolipoprotein A1 (ApoA1)]. In northern China, the sd-LDLC and GluG levels in Shenyang were significantly higher than those in Ningxia and Beijing (P55 years, the levels of TG and TC in females gradually surpassed those in males. CONCLUSIONS: The findings of this study may help establish age- and sex-specific reference values for the blood lipids of Chinese adults and serve as a valuable guide for the screening, diagnosis, treatment, prevention, and monitoring of cardiovascular disease (CVD).

Published
2024

14. Quantitative contribution of cryogenic vacuum extraction and radial water transport to xylem-source water deuterium offsets

Author

Li, Yue, Song, Xianfang, Wang, Lixin, Sprenger, Matthias, and Ma, Ying

Subjects
Earth Sciences, Plant Biology, Biological Sciences, Ecology, Agricultural and Veterinary Sciences, Meteorology & Atmospheric Sciences, Agricultural, veterinary and food sciences, Biological sciences, Earth sciences
Abstract

The positions and magnitudes of deuterium offsets between bulk xylem and corresponding source waters are under debate and quantifying them is essential for isotope-based ecohydrological investigations. In this study, stable isotopes (δ2H, δ18O, and δ13C), iteration method, and rehydration experiments were combined to quantitatively determine the magnitude of cryogenic vacuum extraction (CVE)- and radial water transport (RWT)-induced deuterium offsets using one riparian tree species Salix babylonica L. A modified potential water source line (MPWL) was proposed to identify the total δ2H offsets between bulk xylem and source waters. The relationships between δ2H offsets induced by CVE or RWT and plant water content, leaf δ13C values, soil water content (SWC), and the depth to the water table (WTD) were investigated. Results showed that the bulk xylem waters in different tissue positions of S. babylonica showed −7.0 ‰ to −4.0 ‰ deuterium depletion relative to MPWL at four different sites (p < 0.01). The isotopic compositions of sap water coincided well with MPWL on the dual-isotope plot at the four sites. The CVE- and RWT-induced δ2H offsets accounted for 75.1 % and 24.9 % of the total δ2H offsets, respectively. The CVE-induced δ2H offsets were significantly negatively correlated with plant water content. In comparison, the RWT-induced δ2H offsets were negatively related to plant leaf δ13C values, trunk water content, and SWC, but positively correlated with WTD. This study provides a quantitative contribution of two major sources of deuterium offsets. The results provide critical insights into isotope-based plant water source identification and evapotranspiration partitioning.

Published
2024

21. Origin and dispersal history of Hepatitis B virus in Eastern Eurasia

Author

Sun, Bing, Andrades Valtueña, Aida, Kocher, Arthur, Gao, Shizhu, Li, Chunxiang, Fu, Shuang, Zhang, Fan, Ma, Pengcheng, Yang, Xuan, Qiu, Yulan, Zhang, Quanchao, Ma, Jian, Chen, Shan, Xiao, Xiaoming, Damchaabadgar, Sodnomjamts, Li, Fajun, Kovalev, Alexey, Hu, Chunbai, Chen, Xianglong, Wang, Lixin, Li, Wenying, Zhou, Yawei, Zhu, Hong, Krause, Johannes, Herbig, Alexander, and Cui, Yinqiu

Published
2024
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26. Hotspots of biogeochemical activity linked to aridity and plant traits across global drylands

Author

Eldridge, David J., Ding, Jingyi, Dorrough, Josh, Delgado-Baquerizo, Manuel, Sala, Osvaldo, Gross, Nicolas, Le Bagousse-Pinguet, Yoann, Mallen-Cooper, Max, Saiz, Hugo, Asensio, Sergio, Ochoa, Victoria, Gozalo, Beatriz, Guirado, Emilio, García-Gómez, Miguel, Valencia, Enrique, Martínez-Valderrama, Jaime, Plaza, César, Abedi, Mehdi, Ahmadian, Negar, Ahumada, Rodrigo J., Alcántara, Julio M., Amghar, Fateh, Azevedo, Luísa, Ben Salem, Farah, Berdugo, Miguel, Blaum, Niels, Boldgiv, Bazartseren, Bowker, Matthew, Bran, Donaldo, Bu, Chongfeng, Canessa, Rafaella, Castillo-Monroy, Andrea P., Castro, Ignacio, Castro-Quezada, Patricio, Cesarz, Simone, Chibani, Roukaya, Conceição, Abel Augusto, Darrouzet-Nardi, Anthony, Davila, Yvonne C., Deák, Balázs, Díaz-Martínez, Paloma, Donoso, David A., Dougill, Andrew David, Durán, Jorge, Eisenhauer, Nico, Ejtehadi, Hamid, Espinosa, Carlos Ivan, Fajardo, Alex, Farzam, Mohammad, Foronda, Ana, Franzese, Jorgelina, Fraser, Lauchlan H., Gaitán, Juan, Geissler, Katja, Gonzalez, Sofía Laura, Gusman-Montalvan, Elizabeth, Hernández, Rosa Mary, Hölzel, Norbert, Hughes, Frederic Mendes, Jadan, Oswaldo, Jentsch, Anke, Ju, Mengchen, Kaseke, Kudzai F., Köbel, Melanie, Lehmann, Anika, Liancourt, Pierre, Linstädter, Anja, Louw, Michelle A., Ma, Quanhui, Mabaso, Mancha, Maggs-Kölling, Gillian, Makhalanyane, Thulani P., Issa, Oumarou Malam, Marais, Eugene, McClaran, Mitchel, Mendoza, Betty, Mokoka, Vincent, Mora, Juan P., Moreno, Gerardo, Munson, Seth, Nunes, Alice, Oliva, Gabriel, Oñatibia, Gastón R., Osborne, Brooke, Peter, Guadalupe, Pierre, Margerie, Pueyo, Yolanda, Emiliano Quiroga, R., Reed, Sasha, Rey, Ana, Rey, Pedro, Gómez, Víctor Manuel Reyes, Rolo, Víctor, Rillig, Matthias C., le Roux, Peter C., Ruppert, Jan Christian, Salah, Ayman, Sebei, Phokgedi Julius, Sharkhuu, Anarmaa, Stavi, Ilan, Stephens, Colton, Teixido, Alberto L., Thomas, Andrew David, Tielbörger, Katja, Robles, Silvia Torres, Travers, Samantha, Valkó, Orsolya, van den Brink, Liesbeth, Velbert, Frederike, von Heßberg, Andreas, Wamiti, Wanyoike, Wang, Deli, Wang, Lixin, Wardle, Glenda M., Yahdjian, Laura, Zaady, Eli, Zhang, Yuanming, Zhou, Xiaobing, and Maestre, Fernando T.

Published
2024
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32. The Interval Dynamic Model of the DAB Converter is Used for Robust Model Predictive Control

Author

Wang, Jiarui, Wang, Xiaolan, Hao, Rui, Li, Zhaohui, Wang, Lixin, Yue, Meng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Cai, Chunwei, editor, Qu, Xiaohui, editor, Mai, Ruikun, editor, Zhang, Pengcheng, editor, Chai, Wenping, editor, and Wu, Shuai, editor

Published
2024
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33. Optimal Control of Integrated Losses in Dual Active Bridge DC-DC Converters Under Extended Modulation

Author

Hao, Rui, Wang, Xiaolan, Wei, Tengfei, Wang, Jiarui, Wang, Lixin, Yue, Meng, Li, Zhaohui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Cai, Chunwei, editor, Qu, Xiaohui, editor, Mai, Ruikun, editor, Zhang, Pengcheng, editor, Chai, Wenping, editor, and Wu, Shuai, editor

Published
2024
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34. Suppression of Broadband Forced Torsional Vibration of Doubly-Fed Wind Turbine Shaft System Based on RBFNN-MRAC

Author

Li, Zhaohui, Wang, Xiaolan, Wei, Tenfei, Hao, Rui, Wang, Jiarui, Wang, Lixin, Yue, Meng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Cai, Chunwei, editor, Qu, Xiaohui, editor, Mai, Ruikun, editor, Zhang, Pengcheng, editor, Chai, Wenping, editor, and Wu, Shuai, editor

Published
2024
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35. Active Recovery Control Strategy Under Nonlinear Unbalanced Load with Multiple Micro-source Islanding

Author

Wang, Lixin, Wang, Xiaolan, Wei, Tengfei, Wang, Jiarui, Hao, Rui, Yue, Meng, Li, Zhaohui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Yang, Qingxin, editor, Li, Zewen, editor, and Luo, An, editor

Published
2024
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36. Optimal Distributed Power Allocation for Isolated DC Microgrids Based on Projected Subgradients

Author

Yue, Meng, Wang, Xiaolan, Wei, Tengfei, Hao, Rui, Wang, Lixin, Wang, Jiarui, Li, Zhaohui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Yang, Qingxin, editor, Li, Zewen, editor, and Luo, An, editor

Published
2024
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37. Cells

Author

Yan, Lizhi, Wang, Lixin, Geng, Yulan, Cao, Ke, Cao, Yu, Gao, Yang, Zhang, Hui, Feng, Chongchong, Diao, Yingying, Jia, Ru, Shen, Yajuan, Zheng, Lei, editor, Yan, Lizhi, editor, and Zhang, Shimin, editor

Published
2024
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38. Baseline correction for FAST radio recombination lines: a modified penalized least squares smoothing technique

Author

Liu, Bin, Wang, Lixin, Wang, Junzhi, Peng, Bo, and Wang, Hongjun

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

A pilot project has been proceeded to map 1 deg$^2$ on the Galactic plane for radio recombination lines (RRLs) using the Five hundred meter Aperture Spherical Telescope (FAST). The motivation is to verify the techniques and reliabilities for a large-scale Galactic plane RRL survey with FAST aiming to investigate the ionized environment in the Galaxy. The data shows that the bandpass of the FAST 19 beam L-band is severely affected by radio frequency interferences (RFIs) and standing wave ripples, which can hardly be corrected by traditional low order polynomials. In this paper, we investigate a series of penalized least square (PLS) based baseline correction methods for radio astronomical spectra that usually contain weak signals with high level of noise. Three promising penalized least squares based methods, AsLS, arPLS, and asPLS are evaluated. Adopting their advantages, a modified method named rrlPLS is developed to optimize the baseline fitting to our RRL spectra. To check their effectiveness, the four methods are tested by simulations and further verified using observed data sets. It turns out that the rrlPLS method, with optimized parameter $\lambda = 2 \times 10^8$ , reveals the most sensitive and reliable emission features in the RRL map. By injecting artificial line profiles into the real data cube, a further evaluation of profile distortion is conducted for rrlPLS. Comparing to simulated signals, the processed lines with low signal-to-noise ratio are less affected, of which the uncertainties are mainly caused by the rms noise. The rrlPLS method will be applied for baseline correction in future data processing pipeline of FAST RRL survey. Configured with proper parameters, the rrlPLS technique verified in this work may also be used for other spectroscopy projects., Comment: accepted for publication in PASA

Published
2022

43. Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems

Author

Li, Zeyan, Zhao, Nengwen, Li, Mingjie, Lu, Xianglin, Wang, Lixin, Chang, Dongdong, Nie, Xiaohui, Cao, Li, Zhang, Wenzhi, Sui, Kaixin, Wang, Yanhua, Du, Xu, Duan, Guoqiang, and Pei, Dan

Subjects
Computer Science - Software Engineering
Abstract

Fault localization is challenging in an online service system due to its monitoring data's large volume and variety and complex dependencies across or within its components (e.g., services or databases). Furthermore, engineers require fault localization solutions to be actionable and interpretable, which existing research approaches cannot satisfy. Therefore, the common industry practice is that, for a specific online service system, its experienced engineers focus on localization for recurring failures based on the knowledge accumulated about the system and historical failures. Although the above common practice is actionable and interpretable, it is largely manual, thus slow and sometimes inaccurate. In this paper, we aim to automate this practice through machine learning. That is, we propose an actionable and interpretable fault localization approach, DejaVu, for recurring failures in online service systems. For a specific online service system, DejaVu takes historical failures and dependencies in the system as input and trains a localization model offline; for an incoming failure, the trained model online recommends where the failure occurs (i.e., the faulty components) and which kind of failure occurs (i.e., the indicative group of metrics) (thus actionable), which are further interpreted by both global and local interpretation methods (thus interpretable). Based on the evaluation on 601 failures from three production systems and one open-source benchmark, in less than one second, DejaVu can on average rank the ground truths at 1.66-th to 5.03-th among a long candidate list, outperforming baselines by at least 51.51%., Comment: Accepted by ESEC/FSE 2022

Published
2022
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