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401 results on '"K.-J. Li"'

1. AUTOMATIC GENERATION OF ROUTING GRAPHS FOR INDOOR-OUTDOOR TRANSITIONAL SPACE TO SUPPORT SEAMLESS NAVIGATION

Author

Z. Wang, S. Zlatanova, M. A. Mostafavi, K. Khoshelham, L. Díaz-Vilariño, and K.-J. Li

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

With the fast development of urbanization, the complexity of built environments has dramatically increased, driving a need for assistance in seamless indoor-outdoor navigation. This requires integration of spatial information of indoor and outdoor environments from heterogeneous data sources. While outdoor road network data is largely available from many sources (such as OpenStreetMap), indoor spatial information is either inexistent or is inconsistently represented using several different standards. Among these standards, IndoorGML is a well-developed standard with the focus on indoor location-based services. This standard has already been accepted by Open Geospatial Consortium (OGC) and is now under active development. Although in IndoorGML some mechanisms have been defined to enable integration of indoor and outdoor networks, there is still a lack of concrete guidelines for determination of indoor-outdoor connections. It also lacks solid scientific foundations and efficient tools to extract the connecting nodes and edges that link indoor and outdoor spaces. To address this gap, in this study we focus on the connection of indoor and outdoor spaces and aim to provide a tool, which can automatically construct navigation graphs of the indoor-outdoor transitional space to support seamless integration of indoor-outdoor navigation. To this end, voxel-based modeling approaches are used to model the connecting space between indoor and outdoor environments. Based on Python, we develop the intended tool, which can generate voxel models from point clouds, identify navigable space by taking into account the characteristics of agents (such as pedestrians, wheelchairs, and vehicles), and automatically build navigation graphs linking IndoorGML networks with outdoor street networks. It is expected that the methodology and tools developed from this project will benefit the IndoorGML ecosystem and greatly advance the capability of IndoorGML in representing navigable space to support location-based services.

Published
2023
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2. INDOOR SPATIAL DATA CONSTRUCTION FROM TRIANGLE MESH

Author

D. Kim, A. Bolat, and K.-J. Li

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

The 3D triangle mesh is widely used to represent indoor space. One of widely used methods of generating 3D triangle mesh data of indoor space is the construction from the point cloud collected using LIDAR. However, there are many problems in using generated triangle mesh data as a geometric representation of the indoor space. First, the number of triangles forming the triangle mesh is very large, which results in a bottleneck of the performance for storage and management. Second, no consideration on the properties of indoor space has been done by the previous work on mesh simplification for indoor geometric representation. Third, there is no research to construct indoor spatial standard data from triangle mesh data. For resolving these problems, we propose the a method for generating triangular mesh data for indoor geometric representation based in the observations mentioned above. First this method removes unnecessary objects and reduces the number of surfaces from the original fine-grained triangular mesh data using the properties of indoor space. Second, it also produces indoor geometric data in IndoorGML – an OGC standard for indoor spatial data model. In experimental studies, we present a case study of indoor triangle mesh data from real world and compare results with raw data.

Published
2018
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3. INFACTORY: A RESTFUL API SERVER FOR EASILY CREATING INDOORGML

Author

H. Jeong, H. Ryoo, and K.-J. Li

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

Recently, services and systems that deal with indoor spatial information are increasing. Each service or system adopts a data model that can store necessary indoor space data according to its purpose. However, since the content of indoor spatial information that can be expressed by each data model is differ and limited, it is necessary to exchange information between the systems in order to use rich indoor spatial data. OGC has published IndoorGML as the standard for exchange of indoor spatial information data between systems. To use IndoorGML as an exchange format, the software which supports IndoorGML construction is fundamental. But there are several limitations in the previous IndoorGML data editing tools. There is no editing tool that can generate all the features which are defined by IndoorGML. If users want to generate IndoorGML data, they need to consider the requirements of the IndoorGML. In this study, we implemented InFactory, which is a IndoorGML generation tool based on RESTful API supporting users to easily construct IndoorGML data. Users can easily create IndoorGML without knowledge on the schema and requirements of IndoorGML using InFactory. In addition, developers on IndoorGML data construction tools such as GUI editors do not have to implement duplicated IndoorGML generation program for their systems. Using Java API that supports CRUD on IndoorGML data, users can also deal with IndoorGML data in their applications.

Published
2018
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4. ABOUT THE SUBDIVISION OF INDOOR SPACES IN INDOORGML

Author

A. A. Diakité, S. Zlatanova, and K.-J. Li

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

Boosted by the dynamic urbanization of cities, indoor environments are getting more and more complex in order to be able to host people properly. While most of our time is spent inside buildings, the need of GIS tools to assist our daily activities that can become tedious, such as indoor navigation or facility management, became more and more urgent. In that perspective, the IndoorGML standard is aiming to address the gaps left by other standards regarding the spatial modelling for indoor navigation. It includes several concepts such as the organization of the spaces into cells along with their network representation and the possibility to represent multiple connected layers. However, being at its first stage, several concepts of the standard could be improved. One of these is the cell subspacing that is not enough discussed in the current version of the standard. In this paper, we explore all the aspects involved in the subdivision process, from the identification of the navigable and non-navigable space cells to the generation of a navigation graph. We propose several criteria on which the indoor sub-spacing can rely to be automatically performed and and illustrate them on a 3D indoor model.

Published
2017
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5. LADM AND INDOORGML FOR SUPPORT OF INDOOR SPACE IDENTIFICATION

Author

S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

Guidance and security in large public buildings such as airports, museums and shopping malls requires much more information that traditional 2D methods offer. Therefore 3D semantically-reach models have been actively investigated with the aim to gather knowledge about availability and accessibility of spaces. Spaces can be unavailable to specific users because of plenty of reasons: the 3D geometry of spaces (too low, too narrow), the properties of the objects to be guided to a specific part of the building (walking, driving, flying), the status of the indoor environment (e.g. crowded, limited light, under reconstruction), property regulations (private areas), security considerations and so on. However, such information is not explicitly avaible in the existing 3D semantically-reach models. IFC and CityGML are restricted to architectural building components and provide little to no means to describe such properties. IndoorGML has been designed to establish a generic approach for space identification allowing a space subdivision and automatic creation of a network for route computation. But currently it also represents only spaces as they are defined by the architectural layout of the building. The Land Administration Domain Model is currently the only available model to specify spaces on the basis of ownership and rights for use. In this paper we compare the principles of IndoorGML and LADM, investigate the approaches to define spaces and suggest options to the linking of the two types of spaces. We argue that LADM space subdivision on basis of properties and rights of use can be used to define to semantically and geometrically available and accessible spaces and therefore can enrich the IndoorGML concept.

Published
2016
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6. INDOORGML – A STANDARD FOR INDOOR SPATIAL MODELING

Author

K.-J. Li

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

With recent progress of mobile devices and indoor positioning technologies, it becomes possible to provide location-based services in indoor space as well as outdoor space. It is in a seamless way between indoor and outdoor spaces or in an independent way only for indoor space. However, we cannot simply apply spatial models developed for outdoor space to indoor space due to their differences. For example, coordinate reference systems are employed to indicate a specific position in outdoor space, while the location in indoor space is rather specified by cell number such as room number. Unlike outdoor space, the distance between two points in indoor space is not determined by the length of the straight line but the constraints given by indoor components such as walls, stairs, and doors. For this reason, we need to establish a new framework for indoor space from fundamental theoretical basis, indoor spatial data models, and information systems to store, manage, and analyse indoor spatial data. In order to provide this framework, an international standard, called IndoorGML has been developed and published by OGC (Open Geospatial Consortium). This standard is based on a cellular notion of space, which considers an indoor space as a set of non-overlapping cells. It consists of two types of modules; core module and extension module. While core module consists of four basic conceptual and implementation modeling components (geometric model for cell, topology between cells, semantic model of cell, and multi-layered space model), extension modules may be defined on the top of the core module to support an application area. As the first version of the standard, we provide an extension for indoor navigation.

Published
2016
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7. PREFACE – ISPRS WORKSHOP INDOOR 3D 2019

Author

Z. Kang, K. Khoshelham, L. Díaz-Vilariño, C. Wang, S. Nebiker, V. Lehtola, K. W. Chiang, K.-J. Li, B. De Lathouwer, and S. Dalyot

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Published
2019
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14. The role and contribution of magnetic fields, characterized via their magnetic flux, to the statistical structuring of the solar atmosphere

Author

K. J. Li, J. C. Xu, and W. Feng

Subjects
Medicine, Science
Abstract

Abstract The anomalous heating of the solar upper atmosphere is one of the eight key problems in modern astronomy. Moreover, the stratification of the solar atmosphere is an outstanding key-problem in solar physics. In this study, a hot butterfly-like pattern is found to run through the chromosphere to the corona lying right on top of the magnetic butterfly pattern of sunspots in the photosphere. We thus propose to introduce the term butterfly body to describe the butterfly diagram in the 3-dimensional atmosphere. Besides, we discuss the so-called polar brightening in different layers. It is found to be statistically in anti-phase with the solar cycle in the photosphere and the chromosphere, while in phase with the solar cycle in the corona. Accordingly, we describe the role and relationship of solar magnetic elements of different magnetic flux strengths to explain the statistical structuring of the solar atmosphere with the butterfly body over the solar cycle.

Published
2022
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15. MOVING TOWARD OPEN GEOSPATIAL SYSTEMS: THE UN OPEN GIS INITIATIVE

Author

M. A. Brovelli, K. J. Li, and K. S. Eom

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

The UN Open GIS Initiative is an ongoing Partnership Initiative leaded by the United Nations Geospatial Operations. The Initiative, established in March 2016, is supported by several UN Member States, UN Field Missions, UN Agencies and technology contributing partners (international organizations, academia, NGOs, and the private sector) and takes full advantage of their expertise.The target is the creation of an extended spatial data infrastructure that meets the requirements of the UN Secretariat (including UN field missions and regional commissions), and then expands to UN agencies, UN operating partners and developing countries. The paper presents the activities done in the past year and the status of the Initiative.

Published
2021
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18. The quiet chromosphere: differential rotation

Author

K J Li, M Wan, and W Feng

Subjects
Space and Planetary Science, Astronomy and Astrophysics
Abstract

The solar chromosphere was daily observed in the Ca ii K line at the Mount Wilson Observatory from 1915 August to 1985 July. A digitized data base was created, which includes synoptical maps of the chromosphere in Ca ii intensity from Carrington rotations 827 to 1764. We have used the data base to investigate rotation and its differential of the chromosphere and the quiet chromosphere. The chromosphere is found to rotate faster than sunspots, but the difference in their rotation rates decreases with decreasing latitude, and near the equator they rotate at nearly the same speed. The chromosphere is obviously faster than the quiet photosphere and slightly faster than the quiet chromosphere at low latitudes, but slightly slower than the quiet chromosphere at middle latitudes. The differential degree of the rotation rate at low latitudes, ranging from largest to smallest in order, is found to be: sunspots, the chromosphere, the quiet photosphere, and the quiet chromosphere. The differential of the rotation rate is found to be different in different solar cycles for the chromosphere and the quiet chromosphere. Helioseismology observations suggest that these findings are plausible.

Published
2023
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23. Inadequacy of Augmentation Index for Monitoring Arterial Stiffness: Comparison with Arterial Compliance and Other Hemodynamic Variables

Author

Mehmet Kaya, Vignesh Balasubramanian, and John K.-J. Li

Subjects
Dogs, Vascular Stiffness, Hemodynamics, Biomedical Engineering, Animals, Blood Pressure, Arteries, Pulse Wave Analysis, Cardiology and Cardiovascular Medicine, Compliance
Abstract

Augmentation Index (AIAortic pressure and flow datasets (n = 42) from mongrel dogs were obtained from our experiments and Mendeley Data under various conditions. Arterial compliances based on the Windkessel model (CAIAI

Published
2022
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27. Short-Term Risk Estimation and Treatment Planning for Cardiovascular Disease Patients after First Diagnostic Catheterizations with Machine Learning Models

Author

Guochang Ye, Peshala Thibbotuwawa Gamage, Vignesh Balasubramanian, John K.-J. Li, Ersoy Subasi, Munevver Mine Subasi, and Mehmet Kaya

Subjects
Fluid Flow and Transfer Processes, Process Chemistry and Technology, General Engineering, cardiovascular disease, diagnostic catheterizations, machine learning, risk estimation, treatment planning, General Materials Science, Instrumentation, Computer Science Applications
Abstract

Cardiovascular disease (CVD) is the leading cause of death. CVD symptoms may develop within a short-term after diagnostic catheterizations and lead to life-threatening situations. This study is the first to apply machine learning (ML) methods to predict subsequent adverse cardiovascular events/treatments for patients within 90 days after their first diagnostic catheterizations. Patients (6539) without previously diagnosed CVD were selected from the DukeCath dataset. Ten ML methods were used. Three medical outcomes, varied cardiovascular-related scenarios, percutaneous coronary intervention (PCI) treatments, and coronary artery bypass graft (CABG) treatments, were targeted individually. With patient medical history, vital measurements, laboratory results, and the number of diseased vessels, the random forest classifier (RFC) performed best in predicting combined cardiovascular scenarios, including CABG, PCI, valve surgery (VS), stroke, and myocardial infarction (MI), achieving accuracy: 88.17%, sensitivity: 89.72%, specificity: 86.98%, area under receiver operating characteristic (AUROC): 91.68%. The gradient boosting classifier (GBC) performed best in predicting the PCI and CABG treatments (PCI treatments: accuracy: 89.21%, sensitivity: 90.20%, specificity: 88.74%, AUROC: 94.16%; CABG treatments: accuracy: 93.86%, sensitivity: 77.57%, specificity: 96.23%, AUROC: 96.47%). Our results show that the ML applications effectively identify high-risk patients, can provide diagnostic assistance in cardiovascular treatment planning, and improve outcomes in cardiovascular medicine.

Published
2023
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28. Misinterpretation of the Determinants of Elevated Forward Wave Amplitude Inflates the Role of the Proximal Aorta

Author

Timothy S. Phan, John K‐J. Li, Patrick Segers, and Julio A. Chirinos

Subjects
arterial stiffness, characteristic impedance, forward wave amplitude, ventricular‐arterial coupling, wave reflections, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

BackgroundThe hemodynamic basis for increased pulse pressure (PP) with aging remains controversial. The classic paradigm attributes a predominant role to increased pulse wave velocity (PWV) and premature wave reflections (WRs). A controversial new paradigm proposes increased forward pressure wave amplitude (FWA), attributed to proximal aortic characteristic impedance (Zc), as the predominant factor, with minor contributions from WRs. Based on theoretical considerations, we hypothesized that (rectified) WRs drive the increase in FWA, and that the forward pressure wave does not depend solely on the interaction between flow and Zc (QZc product). Methods and ResultsWe performed 3 substudies: (1) open‐chest anesthetized dog experiments (n=5); (2) asymmetric T‐tube model‐based study; and (3) human study in a diverse clinical population (n=193). Animal experiments demonstrated that FWA corresponds to peak QZc only when WRs are minimal. As WRs increased, FWA was systematically greater than QZc and peaked well after peak flow, analogous to late‐systolic peaking of pressure attributable to WRs. T‐tube modeling confirmed that increased/premature WRs resulted in increased FWA. Magnitude and timing of WRs explained 80.8% and 74.3% of the variability in the difference between FWA and peak QZc in dog and human substudies, respectively. ConclusionsOnly in cases of minimal reflections does FWA primarily reveal the interaction between peak aortic flow and proximal aortic diameter/stiffness. FWA is strongly dependent on rectified reflections. If interpreted out of context with the hemodynamic principles of its derivation, the FWA paradigm inappropriately amplifies the role of the proximal aorta in elevation of FWA and PP.

Published
2016
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30. Study of the process e+e−→ϕη at center-of-mass energies between 2.00 and 3.08 GeV

Author

Y. Schelhaas, S. Marcello, Y. Zeng, Zhe Sun, H. R. Qi, Q. Q. Song, Lu F. X., F. De Mori, Y. P. Guo, Y. B. Chen, Y. L. Fan, W. B. Yan, J. Z. Zhang, He K. L., Serkant Ali Cetin, C. L. Luo, H. S. Sang, J. J. Song, Q. Zhou, L. Sun, X. Y. Zhou, Hu J. F., J. B. Jiao, H. K. Sun, S. Qian, Q. An, Jialun Ping, B. Zhong, L. B. Guo, G. X. Sun, Li Yan, Liangbin Li, X. Y. Zhang, X. L. Wang, J. B. Liu, Y. J. Sun, S. Pacetti, F. Feldbauer, X. F. Wang, Ma X. X., H. F. Shen, Ye M. H., P. W. Luo, Z. Jiao, G. Y. Tang, T. T. Han, J. F. Shangguan, Meng Wang, Muhammad Irshad, X. H. Xie, Y. H. Tan, Xujin Yuan, S. J. Zhao, Jie Zhao, Z. L. Huang, X. L. Gao, M. H. Ye, C. H. Heinz, Z. A. Liu, Du S. X., C. Zhong, Yu B. X., A. N. Zhu, Xu Q. J., S. B. Liu, Alexey Zhemchugov, Z. H. Wang, V. Prasad, Ma R. T., Y. Yuan, S. L. Yang, F. A. Harris, W. L. Chang, Y. Ding, L. Zhang, H. J. Wang, A. Bortone, Xuanhong Lou, Y. H. Zheng, Viktor Thorén, F. H. Liu, M. Y. Dong, L. L. Wang, Y. Ban, M. Ablikim, Y. Nefedov, Mo Y. J., Nasser Kalantar-Nayestanaki, Nicolas Berger, Cong-Feng Qiao, M. Qi, Ji Q. P., H. Cai, L. Q. Huang, G. R. Liao, H. Leithoff, G. Y. Hou, H. J. Yang, B. J. Liu, Yue Pan, T. Y. Xing, D. Y. Chen, Y. B. Zhao, I. Balossino, Q. Liu, W. Shan, C. Dong, S. Sosio, C. Schnier, Y. Q. Wang, H. Y. Zhang, Xu G. F., X. S. Kang, J. Dong, S. P. Wen, L. D. Liu, A. Lavania, Li X. H., X. S. Qin, X. T. Huang, X. R. Zhou, F. Li, Yanping Huang, J. W. Zhang, R. Aliberti, Xu Shan, Qi K. H., X. D. Zhang, Li L. K., W. Kühn, Ma H. L., Y. H. Zhang, G. Rong, Yu J. S., J. H. Zou, Y. C. Zhu, Z. Y. You, G. F. Chen, Z. A. Zhu, J. Y. Zhang, I. B. Nikolaev, L. Gong, L. G. Xia, A. Amoroso, J. H. Yin, Lu H. J., M. Shao, C. X. Yue, S. S. Sun, Joachim Pettersson, X D Shi, Xiangcheng Pan, Li J. L., M. Kuemmel, Matthew Glenn Kurth, V. Rodin, Y. J. Mao, Z. Y. Wang, T. Liu, J. F. Qiu, Teresa Lenz, L. Fava, Zhi Yang, S. Nisar, Zhenxiong Yuan, C. J. Tang, Y. K. Heng, Yi Jin, X. F. Cui, M. Scodeggio, Hu H. M., A. Dbeyssi, H. X. Yang, I. Garzia, Qu S. Q., Yu C. X., Li D. M., M. Himmelreich, C. P. Shen, Y. Hu, Ma M. M., Y. P. Lu, S. Janchiv, F. Nerling, R. E. Mitchell, H. Xiao, Ge P. T., Z. X. Meng, T. Held, W. Imoehl, Angelo Rivetti, X. H. Liu, L. Q. Qin, M. G. Zhao, Y. H. Yang, R. P. Guo, J. Zhu, C. X. Liu, Wu J. F., Xu Y. C., B. Wang, X. Wu, A. Sarantsev, D. H. Wei, J. S. Lange, P. Patteri, Lu J. G., A. Calcaterra, Z. G. Zhao, L. Z. Liao, Peilian Liu, W. H. Wang, M. Fritsch, Y. Y. Wang, Yu Bai, A. A. Zafar, Lingxuan Zhang, Y. X. Tan, M. Kavatsyuk, Li J. S., H. H. Zhang, Christoph Herold, T. Yu, K. H. Rashid, G. S. Huang, M. Rolo, X. P. Qin, H. C. Shi, X. K. Zhou, Mo X. H., C.-H. Rosner, Lu X. L., U. Wiedner, I. Denysenko, Ma F. C., Li S. Y., R. Kappert, W. J. Zhu, Y. T. Liang, Rinaldo Baldini Ferroli, S. J. Chen, L. Y. Dong, J. G. Messchendorp, F. F. Sui, X. D. Shi, Dan Wang, B. X. Zhang, K. J. Li, Ji X. L., R. Kiuchi, Qi H. R., D. C. Shan, Ma R. Q., F. Cossio, K. J. Zhu, G. Wilkinson, Z. Qian, Wu L. J., Guangyi Zhang, M. Albrecht, Z. J. Chen, Wenbin Qian, C. Geng, Ma X. Y., J. B. Zhao, R. S. Shi, Y. B. Liu, Q. P. Ji, M. Lellmann, S. Maldaner, A. G. Denig, H. H. Liu, Wu L. H., H. B. Liu, S. Jin, Zujian Wang, W. H. Tian, Y. K. Sun, Y. G. Gao, B. Zheng, R. G. Ping, Li P. R., I. R. Boyko, W. S. Cheng, Yao Wang, Ke B. C., S. Spataro, B. Kopf, W. Y. Han, J. Tang, G. Li, J. L. Liu, Ma Q. M., X. Q. Hao, Y. T. Tian, S. H. Zhang, X. Y. Shen, Yunlong Zhang, M. H. Liu, Walter Ikegami Andersson, S. Nakhoul, H. M. Liu, J. M. Zhang, D. Bettoni, Su P. P., J. L. Zhang, S. Jaeger, G. F. Cao, Jimin Zhao, P. Larin, K. Goetzen, A. Q. Guo, C. Q. Feng, X. R. Chen, Jianping Zheng, M. X. Luo, Dylan Jaide White, C. F. Redmer, C. W. Wang, M. Bertani, D. V. Dedovich, N. Y.-U. Muchnoi, Z. Y. Deng, L. Yang, Hai-Tian Wang, K. Y. Liu, W. M. Song, J. J. Zhang, M. Destefanis, A. Q. Zhang, H. B. Jiang, W. P. Wang, W. Gradl, Y. X. Song, Z. H. Qin, R. Kliemt, A. Mangoni, A. Guskov, Qi T. Y., T. J. Min, G. Cibinetto, Y. X. Zhao, Y. H. Xie, M. Maggiora, Z. L. Hou, R. E. de Boer, M. Q. Jing, G. Felici, C. Z. Yuan, N. Cao, M. Kuessner, Ji X. B., T. Johansson, J. F. Chang, Li X. L., Y. F. Wang, Tao Sun, O. B. Kolcu, X. Dong, X. Cai, G. A. Chelkov, L. Lavezzi, Xu X. P., Z. Ning, S. Y. Xiao, An M. R., Gu Y. T., Xu Yan, Li Z. Y., H. J. Li, L. Wollenberg, Xingchao Dai, F. E. Maas, T. Hu, Gu L. M., O. Bakina, P. X. Shen, Z. H. Lei, F. Weidner, Z. Wu, Q. Ouyang, X. H. Bai, Zhiqing Zhang, S. S. Fang, C. Y. Guan, Li H. J., Li H. B., Li J. Q., E. M. Gersabeck, J. Q. Zhang, X. Zeng, T. Hussain, H. Liang, X. L. Luo, W. X. Gong, Fu C. D., A. Pathak, K. Begzsuren, C. H. Li, F. Bianchi, Li W. D., X. Q. Li, K. Ravindran, Gu M. H., D. Y. Liu, Jie Feng, Tong Zhu, P. Kiese, Yuan Hou, R. A. Briere, X. S. Jiang, J. Libby, S. Pogodin, Wei Xu, P. Adlarson, Yaquan Fang, M. Greco, Shou-hua Zhu, John Jake Lane, Guoqiang Yu, Su K. X., K. Schoenning, B. S. Zou, Q. A. Malik, Magnus Wolke, Y. F. Liang, Z. Y. Zhang, Y. G. Xie, Li W. G., L. Zhao, Xiao-Rui Lyu, Andrzej Kupsc, M. L. Chen, Wen-Zhao Liu, Ji Y. Y., I. Uman, J. Bloms, G. Mezzadri, W. C. Yan, N. Hüsken, Zhiqiang Liu, M. N. Achasov, L. P. Zhou, Z. P. Mao, Z. J. Xiao, J. Fang, R. Farinelli, Libo Zhang, H. Muramatsu, M. Pelizaeus, T. Holtmann, J. Y. Liu, F. Liu, Y. N. Gao, Y. Zhang, Feng Yan, Tao Luo, Zhi Zeng, Shulei Zhang, H. S. Chen, H. L. Dai, Li C. H., S. Ahmed, Y. X. Yang, Ke Wang, W. Y. Sun, Q. Zhao, X. Sun, Y. Z. Sun, Li Yuan, I. K. Keshk, C. X. Lin, Alexander Leon Gilman, M. Rump, Gang Zhao, R. Poling, F. H. Heinsius, Lu J. D., Ma L. L., L. Koch, A. Khoukaz, Krisztian Peters, S. Malde, M. Z. Wang, J. X. Teng, Lu Y. P., Haiping Peng, and J. F. Sun

Subjects
Physics, Particle physics, Range (particle radiation), Photon, Luminosity (scattering theory), Branching fraction, 010308 nuclear & particles physics, Electron–positron annihilation, Measure (mathematics), 01 natural sciences, Nuclear physics, Cross section (physics), 0103 physical sciences, Invariant mass, High Energy Physics::Experiment, Vector meson, Center of mass, Nuclear Experiment, 010306 general physics, Energy (signal processing)
Abstract

We study the process e^+e^− → π^+π^−ηγ, where the photon is radiated from the initial state. About 8000 fully reconstructed events of this process are selected from the BABAR data sample with an integrated luminosity of 469 fb^(-1). Using the π^+π^−η invariant mass spectrum, we measure the e^+e^− → π^+π^−η cross section in the e^+e^− center-of-mass energy range from 1.15 to 3.5 GeV. The cross section is well described by the Vector-Meson dominance model with four ρ-like states. We observe 49±9 events of the J/ψ decay to π^+π^−η and measure the product Γ_(J/Ψ → e^+e^−)B_(J/Ψ → π^+π^−η) = 2.34 ± 0.43_(stat) ± 0.16_(syst) eV.

Published
2021
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31. Myocardial oxygen balance during acute normovolemic hemodilution: A novel compartmental modeling approach

Author

John K-J. Li, Vignesh Balasubramanian, Dorene A. O'Hara, and Mehmet Kaya

Subjects
0301 basic medicine, medicine.medical_specialty, Ischemia, Cardiac index, chemistry.chemical_element, Health Informatics, Hematocrit, Oxygen, 03 medical and health sciences, Oxygen Consumption, 0302 clinical medicine, Internal medicine, Heart rate, medicine, Animals, Humans, Hemodilution, medicine.diagnostic_test, business.industry, Myocardium, Hemodynamics, Models, Cardiovascular, Blood flow, medicine.disease, Computer Science Applications, 030104 developmental biology, chemistry, Anesthetic, Cardiology, Hemoglobin, business, 030217 neurology & neurosurgery, medicine.drug
Abstract

Background Hemodilution was introduced initially as a blood conservation technique to reduce allogeneic blood transfusion in patients undergoing surgical procedures. Although the technique has been approved by the National Institute of Health consensus panel, limits of hemodilution under anesthetic conditions have not been established as they have in animal models. Methods A novel multi-compartmental modeling approach has been proposed that includes the effect of anesthesia to quantify the effect of hemodilution on myocardial oxygen balance during myocardial ischemia. Results The results showed that isovolemic hemodilution would cause detrimental effects around a hematocrit of 15%. Even though the fall in oxygen content caused by the decrease in hemoglobin concentration was compensated by an increase in coronary blood flow induced by hypoxic vasodilation and decreased viscosity, the endocardial tissue received less oxygen compared to the epicardial regions, and this sub-endocardial ischemia eventually led to cardiac failure. Statistical analysis also showed that the type of acellular replacement fluid failed to affect the heart rate, the stroke index or the cardiac index during hemodilution, and supplemental oxygen improved the endocardial oxygen supply. Conclusion The model validates the clinical conclusions that sub-endocardial ischemia causes cardiac failure under extreme hemodilution conditions and the model can also be easily integrated into other human simulators.

Published
2019
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32. A Tutorial to Approximately Invert the Sumudu Transform

Author

John K-J. Li, Glen Atlas, and Adam Work

Subjects
Power series, Factorial, Laplace transform, Applied mathematics, Inverse transform sampling, General Medicine, Function (mathematics), Differential (infinitesimal), Mathematics, Convolution, Cauchy product
Abstract

Unlike the traditional Laplace transform, the Sumudu transform of a function, when approximated as a power series, may be readily inverted using factorial-based coefficient diminution. This technique offers straightforward computational advantages for approximate range-limited numerical solutions of certain ordinary, mixed, and partial linear differential and integro-differential equations. Furthermore, discrete convolution (the Cauchy product), may also be utilized to assist in this approximate inversion method of the Sumudu transform. Illustrative examples are provided which elucidate both the applicability and limitations of this method.

Published
2019
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33. Quantitative cardiology and computer modeling analysis of heart failure in systole and in diastole

Author

John K-J. Li, Peter L. M. Kerkhof, Mehmet Kaya, Radiology and nuclear medicine, and ACS - Heart failure & arrhythmias

Subjects
Male, 0301 basic medicine, Cardiac function curve, medicine.medical_specialty, Systole, Ischemia, Diastole, Hemodynamics, Health Informatics, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Computer Simulation, Aorta, Heart Failure, Ejection fraction, business.industry, Models, Cardiovascular, Heart, medicine.disease, Computer Science Applications, 030104 developmental biology, Aortic valve stenosis, Heart failure, Heart Function Tests, Hypertension, Cardiology, Female, business
Abstract

Clinical cardiology diagnosis relies on the assessment of a set of specified parameters. Computer modeling is a powerful tool that can provide a realistic interpretation of the variations of these parameters through computational quantification. Here we present an overview of different aspects of diagnosis that are based on evaluation of either systolic or diastolic cardiac abnormalities. Emphasis is on the quantitative hemodynamic assessment and modeling. For myocardial ischemia and stunning, multi-scale modeling from single fiber to the global ventricular level is demonstrated. The classic force-velocity-length relations are found to be applicable even for modern quantitative cardiac assessment. The reduced systolic shortening and delayed diastolic relaxation associated with stunning and ischemia can be reproduced even at the single muscle fiber level. In addition, ejection fraction (EF) which has been viewed as an important index in assessing the state of the heart, is found to be inadequate for the diagnosis and assessment of heart failure (HF) in differentiation of HF patients with reduced EF (HFrEF) or with preserved EF (HFpEF). Parameters that relate to structural changes whether at fiber or the global levels are found to be most appropriate to quantify the cardiac function, hence for its quantitative diagnosis. Parameters that govern heart-arterial system interaction when the LV is single-loaded with pressure-overloaded LV hypertrophy or double-loaded as in LVH with aortic valve stenosis are also quantified. It is shown that a computational modeling approach can be invaluable in delineating parameters that are critical for quantitative cardiology diagnosis.

Published
2018
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34. Calibration strategy of the JUNO experiment

Author

Andrea Barresi, Muhammad Usman Rajput, Chengzhuo Yuan, Demin Li, Cédric Huss, Jie Zhao, Xianghui Yu, W. H. Huang, Feng Gao, Sen Qian, Patrick Kinz, Miao He, Axel Müller, Davit Mayilyan, Utane Sawangwit, Jacques Wurtz, Wenju Huo, Hang Hu, Guanghua Gong, G. Andronico, Giuseppe Verde, Si Ma, Livia Ludhova, Xiaoyu Yang, Lucia Votano, Waqas Muhammad, Oleg Smirnov, Jie Yang, Zhe Ning, Y. X. Zhang, Zhuang Shao, Jun Wang, Martin Dvorak, Hao Liang, Nikolay Morozov, Ara Ioannisian, Qingmin Zhang, Ezio Previtali, Barbara Ricci, Ints Mednieks, Wuming Luo, Rossella Caruso, Diru Wu, Alexander Studenikin, Sadia Marium, Jingbo Zhang, M. Settimo, A. Popov, Enrico Bernieri, Xiaowei Liu, Yumei Zhang, Anut Sangka, Feipeng Ning, F. Z. Qi, Simon Blyth, Anatael Cabrera, Antonio Insolia, Donglian Xu, Amir N. Khan, Minghao Gu, Daniel Liebau, Shouyang Hu, Thilo Birkenfeld, Mengyun Guan, Gérard Claverie, Xin Mao, Xingtao Huang, Guoqing Zhang, Markus Robens, Jari Joutsenvaara, Zhibing Li, Can Fang, Nuanwan Sanguansak, Andrey Formozov, Ugur Yegin, Yuekun Heng, Xiaohui Qian, Riccardo Bruno, Zafar Yasin, Selma Conforti Di Lorenzo, Weidong Li, Xiaonan Li, Cédric Schwab, Yuguang Xie, Narumon Suwonjandee, Michael Wurm, Teerapat Payupol, Andrea Serafini, Chunhao Huang, Fangliang Wu, Haoqi Lu, Di Jiang, Salvatore Costa, Yue Meng, Y. Sun, S. Dusini, Mathieu Roche, Stefano Maria Mari, S. Parmeggiano, N. Raper, M. A. Szelezniak, W. J. Wu, Jingbin Lu, Heike Enzmann, Nan Li, Zhonghua Qin, Min Liu, Q. J. Li, Tobias Heinz, Frédéric Druillole, Qun Wu, Anbo Yang, Hongjuan Liu, Sukit Limpijumnong, Peihuai Yi, Cecilia Landini, Jonathan Miller, Yu Xu, Agnese Martini, Vito Antonelli, A. Bolshakova, Alexandre Göttel, X. L. Ji, Yuanqing Wang, Haonan Gan, Lei Yang, Sebastiano Aiello, Leonidas Kalousis, Andre Zambanini, R. T. Lei, Stefan van Waasen, Dmitry Selivanov, Khanchai Khosonthongkee, Yanke Cai, F. Yermia, Yuman Wang, Rong Zhao, Jian Wang, E. Meroni, Filippo Marini, Narine Kazarian, Y. F. Wang, Shanfeng Li, Q. An, Alessandra Re, Chung-Hsiang Wang, Agnese Giaz, Tingxuan Zeng, Guihong Huang, Andrej Babic, Fabio Mantovani, Fang Liu, Richard Ford, Zhe Wang, Christian Grewing, Antonio Bergnoli, Warintorn Sreethawong, Georgy Donchenko, S. Krokhaleva, Mengzhao Li, Rupert Leitner, Monica Sisti, Domizia Orestano, Mario Buscemi, Paolo Montini, Marco Grassi, Zeyuan Yu, Tobias Lachenmaier, Jianrun Hu, Victor Lebrin, Angel Abusleme, Boxiang Yu, Tao Li, Maciej Slupecki, Boonrucksar Soonthornthum, Catia Clementi, Marco Giammarchi, Francesco Manzali, B. Z. Hu, Virginia Strati, Alexey Krasnoperov, Zhang Chen, Hua Zheng, P. Saggese, Minshan Zheng, Xiaolu Ji, Gisele Martin-Chassard, Matthias Raphael Stock, Pablo Walker, Jose Busto, Agustin Campeny, Burin Asavapibhop, Yinhong Zhang, S. B. Liu, Vitaly Shutov, Barbara Clerbaux, Peng Zhang, Zhengyun You, Yayun Ding, Shubin Liu, Ayut Limphirat, S. Dmitrievsky, Siyu Jian, S. Sanfilippo, Cristina Tuve, Shoukang Qiu, Shifeng Sun, Jie Ren, Sébastien Leblanc, Po-An Chen, Xubo Ma, Safeer Hussain, Guangpeng An, Nicomede Pelliccia, Yuhang Guo, Shan Zeng, Konstantin A. Kouzakov, Shaojing Hou, Jing Xu, X. H. Guo, Feiyang Zhang, Dongqin Zheng, Ilya Butorov, Maria Gul, Kunyu Wang, Claudio Lombardo, Zhi Deng, Zhiyan Cai, Yu Gu, Yufei Xi, K. Loo, R. Brugnera, Shu Luo, Jiaheng Zou, Ran Han, Giancarlo Troni, M. H. Ye, Xiaoxu Lu, Fengjiao Luo, H. D. Liu, Haitao Li, Fei Li, Julanan Songwadhana, Xiaomei Zhang, Fengpeng An, X. D. Ruan, Chunxu Yu, Vadim Vedin, Mauro Mezzetto, Jiaqi Li, Caren Hagner, Shu Zhang, Wander Baldini, Yangheng Zheng, Antonio Budano, Michele Montuschi, Zheng Wang, Qin Liu, Pierre-Alexandre Petitjean, Xuefeng Ding, H. R. Pan, Lukas Fajt, Jingyan Shi, David Meyhöfer, Fanrong Xu, Marco Bellato, Zhenyu Zhang, S. J. Zhao, Clément Bordereau, Yan Zhang, Bayarto Lubsandorzhiev, Guang Luo, Benda Xu, Xiangyue Wang, Christophe De La Taille, Miao Yu, Christian Roth, Nina Parkalian, Andrea Fabbri, Fausto Ortica, João Pedro Athayde Marcondes de André, Y. Wang, Liangjian Wen, S. X. Du, Jian Tang, Frederic Lefevre, Tao Hu, Vasily Gromov, Guofu Cao, Liang Zhan, E. Doroshkevich, Steven Chan-Fai Wong, Amélie Fournier, Apimook Watcharangkool, Jinchang Liu, Qian Liu, Yongbo Huang, Bayu Dirgantara, Chiara Sirignano, Qiumei Ma, Yi Wang, A. Sadovsky, Xichao Ruan, Caishen Wang, G. Settanta, Flavio Dal Corso, Beatrice Jelmini, Guillaume Vanroyen, Baojun Yan, Ruhui Li, Mikhail Smirnov, Huan Yang, Z. Wu, Xiao Cai, Yun Chang, Meng Wang, Yufeng Li, Tianchi Zhao, K. L. Jen, Li-Cheng Feng, Guey-Lin Lin, Shuxiang Lu, Massimiliano Nastasi, Thomas Adam, Rizwan Ahmed, David Blum, Marco Fargetta, Didier Auguste, Weiguo Li, Jian Fang, Patrick Hellmuth, Muhammad Akram, Hui Liu, Tomas Tmej, G. X. Sun, Fengyi Zhao, Christian Wysotzki, Wladyslaw Henryk Trzaska, Achim Stahl, Sylvie Blin, Yin Xu, Alexander Tietzsch, Fedor Šimkovic, Haiping Peng, Ziping Ye, Baobiao Yue, A. Sotnikov, Aldo Romani, Anna Chuvashova, Noman Zafar, Tatiana Antoshkina, Wanlei Guo, C. Jollet, Christoph Genster, Sultim Lubsandorzhiev, Y. K. Sun, Xiangwei Yin, Xiaoping Jing, H. Steiger, Muhammad Sohaib Hassan, Cristina Martellini, Wei Wang, B. Viaud, Igor Nemchenok, Zhijian Zhang, Fatma Sawy, Xiaofei Gu, Alexander Olshevskiy, Liang Zong, Pavithra Muralidharan, Xiaomei Li, Alexandr Selyunin, Yu Chen, Jochen Steinmann, Qiang Tang, Daojin Hong, Daniele Corti, Yatian Pei, S. Zhang, Denis Korablev, Yi Chen, Dominique Breton, Franco Giuliani, F. Li, Augusto Brigatti, Artem Chukanov, Nikolaos Vassilopoulos, Jiaxuan Ye, Yi-Wen Chen, K. Treskov, Michael Karagounis, Haiqiong Zhang, Jiang Zhu, Nunzio Giudice, Zongyi Wang, H. L. Zhuang, Marco Aurelio Diaz, Nikolay Kutovskiy, Shakeel Ahmad, Narongkiat Rodphai, Yifan Yang, Huihui Jia, Juan Pedro Ochoa-Ricoux, Jin Li, Hongtao Liu, Andrey Sidorenkov, Qichun Feng, Jiawen Zhang, T. Enqvist, Ruyi Jin, J. J. Ling, Arseniy Rybnikov, Lino Miramonti, Yi Li, Luis Felipe Piñeres Rico, Ziyuan Li, Ziyi Yuan, A. Lokhov, Jie Cheng, Rafael Herrera, Jiaqi Hui, Wathan Pratumwan, En Wang, Konstantin Schweizer, A. Kruth, Tobias Sterr, Shengxin Lin, Anna Fatkina, Fabrizio Petrucci, Mathieu Bongrand, Olivia Dalager, Alessandro Paoloni, Philipp Kampmann, Roberto Isocrate, Jianmeng Dong, Weirong Zhong, Yiyu Zhang, Saroj Rujirawat, Giuseppe Salamanna, Maxim Vialkov, Abdel Rebii, Mengjiao Xiao, Jing Zhou, P. Chimenti, Jingjing Liang, Yuanyuan Zhang, Pingping Chen, Igor Tkachev, A. Cammi, Oliver Pilarczyk, Vit Vorobel, Zhimin Wang, Honghao Zhang, Zhenxiong Yuan, Xiang Zhou, Damien Dornic, Jie Zhang, Zhangquan Xie, Yaping Cheng, Ying Yuan, Maxim Gonchar, Wei Wei, Zhuojun Hu, Ivano Lippi, Xilei Sun, Shaomin Chen, Jun Cao, Li Zhou, Ruiguang Wang, Nikolay Anfimov, Andrea Triossi, Runxuan Liu, Xinglong Li, Waseem Khan, Pasi Kuusiniemi, Xi Wang, Salvatore Monforte, Meihang Xu, Eric Baussan, Haifeng Yao, Xuantong Zhang, Yang Han, Pascal Poussot, Dongmei Xia, Jacky Schuler, Hao Qiao, Hu Liu, Henning Rebber, Dmitry V. Naumov, Luca Stanco, Paul Hackspacher, Y. K. Hor, Lei Fan, Ziyan Deng, Lei Huo, Ondrej Sramek, K. J. Li, Jianglai Liu, Lu Wang, Paolo Lombardi, Marcos Dracos, B. Roskovec, Taras Rezinko, Quan Tang, Jiawei Deng, Jason Leung, Xiao Tang, Junji Jia, Huiling Li, Nunzio Guardone, Chuanya Cao, Diana Navas-Nicolas, A. Meregaglia, Zhi-zhong Xing, V. Fekete, Jilei Xu, W. Wang, Siguang Wang, Yupeng Yan, Hao Cai, Christopher Wiebusch, Y. B. Hsiung, Z. V. Krumshteyn, Sirichok Jungthawan, Thiago Sogo-Bezerra, Yury Malyshkin, S. Li, Dmitry Fedoseev, Tao Lin, Chuan Lu, J. F. Chang, Davide Chiesa, Changgen Yang, A. Garfagnini, F. Perrot, Wilfried Depnering, Xiaoyan Ma, Yadong Wei, M. Wang, O. Gorchakov, Yajun Mao, Anguo Peng, C. Cerna, Wei He, Lothar Oberauer, Konstantin Stankevich, Yuri Gornushkin, Donghua Fan, Cong Guo, Dušan Štefánik, Ming Qi, Lianghong Wei, Jihane Maalmi, E. Naumova, Jaruchit Siripak, Tadeas Dohnal, Julia Sawatzki, Hongbang Liu, X. R. Chen, Bjoern Wonsak, Vladimir Lyashuk, Johannes van den Boom, Qinhua Huang, Jingyuan Guo, Yuda Zeng, Shulin Liu, Tao Zhang, Guo-Li Wang, Hui Gong, Michaela Schever, Jun Hu, K. J. Zhu, P. W. Luo, Shun Zhou, Bin Ren, Nan Zhou, Yan Liu, Li Kang, Junguang Lu, Gioacchino Ranucci, Chiye Yu, Cheng Xu, Hongzhao Yu, Hanxiong Huang, Xiongbo Yan, Sai-Juan Chen, C. Volpe, Hiroshi Nunokawa, Yanchu Wang, Vladislav Sharov, Xiaoshan Jiang, Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, An, F, An, G, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Babic, A, Baldini, W, Barresi, A, Baussan, E, Bellato, M, Bergnoli, A, Bernieri, E, Birkenfeld, T, Blin, S, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Buscemi, M, Busto, J, Butorov, I, Cabrera, A, Cai, H, Cai, X, Cai, Y, Cai, Z, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Chang, J, Chang, Y, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chiesa, D, Chimenti, P, Chukanov, A, Chuvashova, A, Claverie, G, Clementi, C, Clerbaux, B, Lorenzo, S, Corti, D, Costa, S, Corso, F, Dalager, O, Taille, C, Deng, J, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Dohnal, T, Donchenko, G, Dong, J, Dornic, D, Doroshkevich, E, Dracos, M, Druillole, F, Du, S, Dusini, S, Dvorak, M, Enqvist, T, Enzmann, H, Fabbri, A, Fajt, L, Fan, D, Fan, L, Fang, C, Fang, J, Fargetta, M, Fatkina, A, Fedoseev, D, Fekete, V, Feng, L, Feng, Q, Ford, R, Formozov, A, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gottel, A, Genster, C, Giammarchi, M, Giaz, A, Giudice, N, Giuliani, F, Gonchar, M, Gong, G, Gong, H, Gorchakov, O, Gornushkin, Y, Grassi, M, Grewing, C, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guardone, N, Gul, M, Guo, C, Guo, J, Guo, W, Guo, X, Guo, Y, Hackspacher, P, Hagner, C, Han, R, Han, Y, Hassan, M, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hong, D, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Z, Huang, C, Huang, G, Huang, H, Huang, Q, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Insolia, A, Ioannisian, A, Isocrate, R, Jelmini, B, Jen, K, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, X, Jin, R, Jing, X, Jollet, C, Joutsenvaara, J, Jungthawan, S, Kalousis, L, Kampmann, P, Kang, L, Karagounis, M, Kazarian, N, Khan, A, Khan, W, Khosonthongkee, K, Kinz, P, Korablev, D, Kouzakov, K, Krasnoperov, A, Krokhaleva, S, Krumshteyn, Z, Kruth, A, Kutovskiy, N, Kuusiniemi, P, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, H, Li, J, Li, K, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liang, J, Liebau, D, Limphirat, A, Limpijumnong, S, Lin, G, Lin, S, Lin, T, Ling, J, Lippi, I, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, S, Lu, X, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Luo, F, Luo, G, Luo, P, Luo, S, Luo, W, Lyashuk, V, Ma, Q, Ma, S, Ma, X, Maalmi, J, Malyshkin, Y, Mantovani, F, Manzali, F, Mao, X, Mao, Y, Mari, S, Marini, F, Marium, S, Martellini, C, Martin-Chassard, G, Martini, A, Mayilyan, D, Muller, A, Mednieks, I, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Monforte, S, Montini, P, Montuschi, M, Morozov, N, Muhammad, W, Muralidharan, P, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Pan, H, Paoloni, A, Parkalian, N, Parmeggiano, S, Payupol, T, Pei, Y, Pelliccia, N, Peng, A, Peng, H, Perrot, F, Petitjean, P, Petrucci, F, Rico, L, Pilarczyk, O, Popov, A, Poussot, P, Pratumwan, W, Previtali, E, Qi, F, Qi, M, Qian, S, Qian, X, Qiao, H, Qin, Z, Qiu, S, Rajput, M, Ranucci, G, Raper, N, Re, A, Rebber, H, Rebii, A, Ren, B, Ren, J, Rezinko, T, Ricci, B, Robens, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Roth, C, Ruan, X, Rujirawat, S, Rybnikov, A, Sadovsky, A, Saggese, P, Salamanna, G, Sanfilippo, S, Sangka, A, Sanguansak, N, Sawangwit, U, Sawatzki, J, Sawy, F, Schever, M, Schuler, J, Schwab, C, Schweizer, K, Selivanov, D, Selyunin, A, Serafini, A, Settanta, G, Settimo, M, Shao, Z, Sharov, V, Shi, J, Shutov, V, Sidorenkov, A, Simkovic, F, Sirignano, C, Siripak, J, Sisti, M, Slupecki, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Stefanik, D, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Sun, G, Sun, S, Sun, X, Sun, Y, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Tietzsch, A, Tkachev, I, Tmej, T, Treskov, K, Triossi, A, Troni, G, Trzaska, W, Tuve, C, van Waasen, S, van den Boom, J, Vanroyen, G, Vassilopoulos, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Volpe, C, Vorobel, V, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, K, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, L, Wei, W, Wei, Y, Wen, L, Wiebusch, C, Wong, S, Wonsak, B, Wu, D, Wu, F, Wu, Q, Wu, W, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, M, 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Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de physique subatomique et des technologies associées (SUBATECH), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), JUNO, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., An F., An G., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J.P.A.M., Auguste D., Babic A., Baldini W., Barresi A., Baussan E., Bellato M., Bergnoli A., Bernieri E., Birkenfeld T., Blin S., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Buscemi M., Busto J., Butorov I., Cabrera A., Cai H., Cai X., Cai Y., Cai Z., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Chang J., Chang Y., Chen P., Chen P.-A., Chen S., Chen X., Chen Y.-W., Chen Y., Chen Z., Cheng J., Cheng Y., Chiesa D., Chimenti P., Chukanov A., Chuvashova A., Claverie G., Clementi C., Clerbaux B., Lorenzo S.C.D., Corti D., Costa S., Corso F.D., Dalager O., Taille C.D.L., Deng J., Deng Z., Depnering W., Diaz M., Ding X., Ding Y., Dirgantara B., Dmitrievsky S., Dohnal T., Donchenko G., Dong J., Dornic D., Doroshkevich E., Dracos M., Druillole F., Du S., Dusini S., Dvorak M., Enqvist T., Enzmann H., Fabbri A., Fajt L., Fan D., Fan L., Fang C., Fang J., Fargetta M., Fatkina A., Fedoseev D., Fekete V., Feng L.-C., Feng Q., Ford R., Formozov A., Fournier A., Gan H., Gao F., Garfagnini A., Gottel A., Genster C., Giammarchi M., Giaz A., Giudice N., Giuliani F., Gonchar M., Gong G., Gong H., Gorchakov O., Gornushkin Y., Grassi M., Grewing C., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guardone N., Gul M., Guo C., Guo J., Guo W., Guo X., Guo Y., Hackspacher P., Hagner C., Han R., Han Y., Hassan M., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hong D., Hor Y., Hou S., Hsiung Y., Hu B.-Z., Hu H., Hu J., Hu S., Hu T., Hu Z., Huang C., Huang G., Huang H., Huang Q., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Insolia A., Ioannisian A., Isocrate R., Jelmini B., Jen K.-L., Ji X., Jia H., Jia J., Jian 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S.C.-F., Wonsak B., Wu D., Wu F., Wu Q., Wu W., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao M., Xie Y., Xie Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu J., Xu M., Xu Y., Yan B., Yan X., Yan Y., Yang A., Yang C., Yang H., Yang J., Yang L., Yang X., Yang Y., Yao H., Yasin Z., Ye J., Ye M., Ye Z., Yegin U., Yermia F., Yi P., Yin X., You Z., Yu B., Yu C., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zambanini A., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang F., Zhang G., Zhang H., Zhang J., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao F., Zhao J., Zhao R., Zhao S., Zhao T., Zheng D., Zheng H., Zheng M., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou X., Zhu J., Zhu K., Zhuang H., Zong L., Zou J., Abusleme, A., Adam, T., Ahmad, S., Ahmed, R., Aiello, S., Akram, M., An, F., An, G., An, Q., Andronico, G., Anfimov, N., Antonelli, V., Antoshkina, T., Asavapibhop, B., de Andre, J. 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Subjects
Nuclear and High Energy Physics, Physics - Instrumentation and Detectors, Physics::Instrumentation and Detectors, measurement methods, scintillation counter: liquid, energy resolution, FOS: Physical sciences, Photodetector, Scintillator, 01 natural sciences, NO, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), hal-03022811, PE2_2, Optics, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Calibration, lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, ddc:530, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010306 general physics, Astrophysique, Jiangmen Underground Neutrino Observatory, Physics, JUNO, liquid [scintillation counter], 010308 nuclear & particles physics, business.industry, Settore FIS/01 - Fisica Sperimentale, Detector, Astrophysics::Instrumentation and Methods for Astrophysics, Linearity, Instrumentation and Detectors (physics.ins-det), calibration, Neutrino Detectors and Telescopes (experiments), lcsh:QC770-798, High Energy Physics::Experiment, Neutrino, business, Energy (signal processing)
Abstract

We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multiple-source and multiple-positional calibration program, in combination with a novel dual calorimetry technique exploiting two independent photosensors and readout systems, we demonstrate that the JUNO central detector can achieve a better than 1% energy linearity and a 3% effective energy resolution, required by the neutrino mass ordering determination. [Figure not available: see fulltext.], 0, info:eu-repo/semantics/published

Published
2021
Full Text
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35. Comparative Cardiovascular Dynamics of Mammals

Author

John K-J Li and John K-J Li

Subjects
QP105
Abstract

Comparative Cardiovascular Dynamics of Mammals offers never-before-published data on the structure and function of the circulatory systems of the different mammalian species. This text explores classic allometry, dimensional analysis, and modern hemodynamics to establish similarity principles that provide a necessary and important step in understanding the natural common design and functional features of the cardiovascular systems of different mammals.Fluid and blood vessel mechanics, pulse transmission characteristics, cardiac energetics and mechanics, as well as heart-arterial system interaction are included in this essential reference. The sensitivity of parameters and similarity of principles in the diagnosis of cardiovascular diseases are also addressed. This book also describes the natural processes involved in the functional development of the mammalian cardiovascular system.By using modern methods to present recent findings on the similarities and differences of the mammalian cardiovascular system, the author provides an easily understood approach to this dynamic field of study.

Published
2024

36. Measurement of cross sections for e+e−→μ+μ− at center-of-mass energies from 3.80 to 4.60 GeV

Author

Z. A. Liu, V. Prasad, Ma R. T., Y. Ban, P. Weidenkaff, Y. H. Zheng, Cong-Feng Qiao, G. Felici, S. P. Wen, X. S. Qin, X. R. Zhou, N. Yu. Muchnoi, Xu G. F., X. S. Kang, Y. H. Zhang, S. L. Olsen, Ma X. X., Mo X. H., Z. Y. Wang, Teresa Lenz, Meng Wang, L. Wollenberg, L. Y. Dong, A. G. Denig, Muhammad Irshad, Y. K. Sun, F. Feldbauer, Z. L. Huang, Xingchao Dai, M. Ablikim, A. Calcaterra, Z. G. Zhao, X. Y. Jiang, L. Z. Liao, Yu B. X., S. Spataro, Li H. B., Yu Bai, H. H. Zhang, F. A. Harris, W. L. Chang, M. Lellmann, Lingxuan Zhang, Y. X. Tan, H. Leithoff, Li J. Q., X. P. Qin, S. Maldaner, J. Q. Zhang, S. Qian, Q. An, Jialun Ping, Liangbin Li, X. Y. Zhang, X. L. Wang, J. B. Liu, C. L. Luo, Y. J. Sun, F. Li, G. Y. Tang, X. H. Xie, H. M. Liu, Q. Zhou, G. F. Cao, B. Zhong, L. B. Guo, Jie Zhao, A. N. Zhu, Tao Zhang, Ma F. C., Alexey Zhemchugov, F. F. Sui, C.-H. Rosner, E. M. Gersabeck, F. H. Liu, S. Ahmed, Y. X. Yang, T. Z. Han, Li P. R., G. Wilkinson, Y. Fu, Xu Q. J., J. W. Zhang, Xu Shan, H. H. Liu, Wu L. H., R. Kiuchi, Yao Wang, Ke B. C., X. L. Luo, Y. C. Zhu, W. S. Cheng, T. Liu, J. F. Qiu, Y. F. Wang, Wu L. J., M. Kuemmel, Matthew Glenn Kurth, H. Xiao, A. Q. Guo, C. W. Wang, M. Papenbrock, T. Held, Y. Schelhaas, Fu C. D., L. Fava, Zhi Yang, Z. Ning, S. Y. Xiao, Ma Y. M., Y. X. Zhao, M. X. Luo, Dylan Jaide White, H. B. Liu, B. Zheng, R. G. Ping, K. Begzsuren, G. Li, B. Kopf, M. H. Ye, F. Nerling, T. Hussain, R. S. Shi, W. P. Wang, D. V. Dedovich, Li Z. B., H. R. Qi, Q. Q. Song, F. Bianchi, Y. P. Guo, L. L. Wang, H. Cai, X. Q. Hao, Y. H. Xie, W. X. Gong, F. E. Maas, B. Wang, S. Nakhoul, T. Hu, C. Q. Feng, X. R. Chen, M. Maggiora, S. W. Han, S. Jaeger, Q. Zhao, X. F. Cui, Y. Z. Sun, Serkant Ali Cetin, Y. Ding, L. Q. Huang, Z. Y. Deng, Hai-Tian Wang, M. Fritsch, J. M. Zhang, Gu M. H., M. Kavatsyuk, Zujian Wang, Jacek Biernat, P. Larin, A. Pathak, H. C. Shi, Gu L. M., B. J. Liu, Ma X. N., Z. L. Hou, O. Bakina, T. Y. Xing, D. Y. Chen, Jimin Zhao, Z. H. Qin, X D Shi, I. K. Keshk, C. X. Lin, Ye M. H., D. Y. Liu, L. Y. Liu, W. Imoehl, X. K. Zhou, C. F. Redmer, J. B. Jiao, X. H. Liu, L. Q. Qin, B. X. Zhang, Xujin Yuan, C. H. Li, Ma Q. M., W. Kühn, I. B. Nikolaev, M. Rump, Gang Zhao, Z. Y. You, Z. A. Zhu, R. Kliemt, J. H. Yin, P. X. Shen, Lu H. J., M. Shao, Z. Wu, C. X. Yue, Gu Y. T., Y. J. Mao, H. X. Yang, I. Garzia, J. P. Dai, G. S. Huang, A. Mangoni, M. Qi, Ji Q. P., A. Guskov, S. B. Liu, H. J. Yang, Y. Nefedov, Qi T. Y., M. Himmelreich, Wu J. F., Y. F. Long, T. Holtmann, K. Ravindran, J. Y. Liu, W. J. Zhu, X. D. Shi, Dan Wang, S. Gu, C. Z. Yuan, N. Cao, F. Weidner, T. Yu, Xu J. J., Lu X. L., Ji X. L., Du S. X., C. P. Shen, X. Wu, T. J. Min, K. J. Zhu, G. Cibinetto, G. X. Sun, J. V. Bennett, Li Yan, J. G. Messchendorp, W. L. Yuan, Q. Ouyang, Z. Jiao, Wenbin Qian, S. L. Yang, A. Sarantsev, D. H. Wei, J. S. Lange, S. S. Fang, C. Y. Guan, K. Y. Liu, Li H. J., Ma X. Y., Y. G. Gao, W. Ikegami Andersson, P. W. Luo, Ma R. Q., Y. N. Gao, Qi H. R., Y. B. Zhao, Y. Zhang, Y. B. Liu, M. Bertani, L. Yang, W. Shan, J. B. Zhao, P. Kiese, Yuan Hou, J. Dong, Mo Y. J., Zhiqing Zhang, Q. P. Ji, M. Kuessner, I. R. Boyko, Li Z. Y., H. B. Jiang, S. Nisar, Ji X. B., R. A. Briere, C. J. Tang, Y. Hu, Y. P. Lu, Li X. L., X. S. Jiang, S. H. Zhang, X. Y. Shen, W. Gradl, Tao Sun, V. Rodin, G. A. Chelkov, Y. X. Song, Xu X. P., P. Patteri, Lu J. G., R. Farinelli, R. X. Yang, Wei Xu, J. F. Sun, A. Pitka, P. Adlarson, S. Marcello, Y. Zeng, M. Pelizaeus, Zhe Sun, S. Lusso, Y. B. Chen, Xiaofeng Zhu, J. Z. Zhang, J. J. Song, L. Sun, T. Johansson, J. F. Chang, O. B. Kolcu, X. Cai, L. Lavezzi, H. Y. Zhang, R. B. de Boer, Li L. K., G. F. Chen, J. Y. Zhang, H. W. Wen, Li J. L., Y. K. Heng, T. T. Han, S. J. Zhao, Li P. L., A. Bortone, Xuanhong Lou, Viktor Thorén, Nasser Kalantar-Nayestanaki, Yue Pan, I. Balossino, Hu H. M., Qu S. Q., Yu C. X., Li D. M., M. G. Zhao, Y. H. Yang, R. P. Guo, J. Zhu, M. Savrie, Yi Jin, Y. J. Xiao, Ma M. M., S. Janchiv, C. Zhong, C. Schnier, Y. Q. Wang, Li X. H., X. T. Huang, Ma H. L., G. Rong, Yu J. S., Z. X. Meng, X. A. Xiong, A. A. Zafar, K. H. Rashid, Y. T. Liang, S. J. Chen, K. J. Li, Andrzej Kupsc, M. L. Chen, Magnus Wolke, Y. F. Liang, Fang Liu, Li W. G., U. Wiedner, I. Denysenko, I. Uman, Guangyi Zhang, Z. J. Xiao, W. B. Yan, S. Pacetti, N. Huesken, M. Y. Dong, J. H. Zou, S. S. Sun, R. E. Mitchell, Q. Liu, Tristan Weber, L. Gong, L. G. Xia, A. Amoroso, A. Dbeyssi, Angelo Rivetti, F. De Mori, He K. L., L. D. Liu, Hu J. F., X. F. Wang, C. X. Liu, R. Kappert, S. Jin, Anita, Y. Yuan, K. Goetzen, Li S. Y., M. Albrecht, B. T. Tsednee, Ke Wang, W. Y. Sun, F. H. Heinsius, Lu J. D., B. L. Wang, Ma L. L., H. Liang, L. Koch, A. Khoukaz, R. Baldini Ferroli, Li W. D., Krisztian Peters, S. Malde, M. Z. Wang, Lu Y. P., Haiping Peng, Tao Luo, J. Libby, Shulei Zhang, H. S. Chen, Alperen Yuncu, H. L. Dai, Li C. H., Yaquan Fang, M. Greco, Shou-hua Zhu, John Jake Lane, Guoqiang Yu, K. Schoenning, B. S. Zou, Q. A. Malik, G. Mezzadri, W. C. Yan, Zhiqiang Liu, M. N. Achasov, L. Zhao, L. P. Zhou, Xiao-Rui Lyu, Z. P. Mao, J. Fang, J. Bloms, Z. Y. Zhang, Y. G. Xie, X. L. Gao, C. Dong, S. Sosio, Y. Yang, Joachim Pettersson, J. Tang, Yunlong Zhang, D. Bettoni, J. L. Zhang, Jianping Zheng, M. Destefanis, M. Rolo, and F. Cossio

Subjects
Nuclear physics, Physics, 010308 nuclear & particles physics, law, 0103 physical sciences, Detector, Measure (physics), Center of mass, 010306 general physics, Collider, 01 natural sciences, law.invention
Abstract

The observed cross sections for e(+)e(-) -> mu(+) mu(-) at energies from 3.8 to 4.6 GeVare measured using data samples taken with the BESIII detector operated at the BEPCII collider. We measure ...

Published
2020
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39. Study of the D0 → K− μ+ νμ Dynamics and Test of Lepton Flavor Universality with D0→K−l+νl Decays

Author

Q. Liu, X. L. Gao, M. Bertani, C. Dong, S. Sosio, Z. Haddadi, L. L. Ma, Joachim Pettersson, L. Yang, L. Gong, H. B. Li, M. H. Ye, A. G. Denig, C. L. Luo, A. Amoroso, Q. Zhou, Y. T. Tan, C. C. Zhang, W. Gradl, B. Zhong, M. Ripka, A. Dbeyssi, Y. H. Xie, L. D. Liu, D. Y. Wang, Angelo Rivetti, J. Pellegrino, H. Muramatsu, A. N. Zhu, Ulrich Wiedner, L. Y. Dong, Bingxuan Liu, Y. H. Zheng, Cong-Feng Qiao, S. Jin, A. Julin, M. Alekseev, W. S. Cheng, Yao Zhang, Tao Zhang, G. Li, M. Kornicer, T. Ma, N. Yu. Muchnoi, X. S. Kang, A. Gilman, M. Maggiora, Kai Liu, W. M. Song, W. J. Zheng, Xu Shan, Y. H. Zhang, X. L. Ji, C. D. Fu, C. Q. Feng, X. R. Chen, G. F. Xu, S. B. Liu, L. Zhang, Y. Nefedov, F. Nerling, Lei Zhao, Z. Y. Deng, Z. Y. Wang, Z. L. Hou, Z. G. Wang, H. Y. Zhang, Xingguo Li, F. Li, F. C. Ma, Fang Liu, Y. G. Xie, X. Y. Song, R. Kliemt, Y. Hu, Haiwen Liu, Y. X. Yang, Kang Li, A. Mangoni, L. J. Wu, A. Guskov, J. C. Li, Cui Li, S. X. Du, K. Goetzen, Jie Yu, Y. J. Mo, Z. L. Dou, J. F. Qiu, F. De Mori, J. Zhuang, M. X. Luo, L. Fava, G. S. Huang, K. J. Zhu, Meng Wang, D. V. Dedovich, X. Y. Zhou, Xu Zhou, T. Khan, Xiao-Rui Lyu, C. Z. Yuan, Q. Zhao, G. F. Chen, Y. Z. Sun, Q. P. Ji, Ke Li, G. Cibinetto, I. Uman, Liqing Xu, X. Y. Shen, Y. G. Gao, X. F. Wang, G. S. Varner, J. Y. Zhang, L. Koch, A. Khoukaz, Yang Zhang, F. Feldbauer, C. X. Lin, J. Z. Bai, Z. L. Huang, Y. Ding, Q. M. Ma, A. Mustafa, B. J. Liu, Gang Zhao, Feng Liu, P. Larin, M. Ablikim, X D Shi, A. Calcaterra, Z. G. Zhao, S. Fegan, W. Kühn, Y. J. Mao, L. Z. Liao, T. Holtmann, L. Yan, Y. Yuan, Y. S. Zhu, P. Wang, M. Kuessner, Z. Y. You, J. Y. Liu, H. H. Zhang, Yu Zhang, Z. J. Sun, Xinglong Li, H. X. Yang, I. Garzia, Z. A. Zhu, T. Weber, X. B. Ji, M. Tiemens, C. P. Shen, J. L. Zhang, M. H. Gu, R. Kiuchi, X. N. Ma, H. Y. Sheng, T. Y. Qi, Michael Papenbrock, Q. Gao, Y. N. Gao, F. Yan, B. Wang, P. L. Wang, G. A. Chelkov, P. Patteri, C. X. Yu, Y. X. Xia, S. H. Zhu, J. J. Xu, Z. Q. Yang, M. Kavatsyuk, P. Kiese, B. Garillon, Huihui Liu, Haiping Peng, Muhammad Irshad, J. S. Huang, C. X. Liu, Bibo Ke, Z. J. Xiao, S. L. Olsen, B. Zheng, R. G. Ping, W. B. Yan, J. G. Messchendorp, R. A. Briere, M. N. Achasov, H. J. Lu, Ke Wang, X. K. Chu, J. G. Lu, J. P. Dai, G. Y. Tang, S. Pacetti, B. X. Zhang, F. A. Harris, F. E. Maas, Y. K. Heng, X. S. Jiang, Jie Zhao, D. X. Lin, T. Hu, Qiunan Xu, P. F. Duan, Alexey Zhemchugov, H. M. Hu, H. Leithoff, O. Bakina, A. Q. Guo, Z. Y. Peng, G. Rong, Fenfen An, B. L. Wang, S. J. Zhao, J. W. Zhang, P. X. Shen, T. C. Zhao, X. K. Zhou, Jinxing Zheng, I. Denysenko, O. Cakir, J. F. Hu, Z. Wu, C. F. Redmer, Q. J. Xu, W. C. Yan, Zhiyong Zhang, R. Farinelli, C. Schnier, H. L. Ma, W. P. Wang, J. C. Chen, Xuanhong Lou, Zhiqing Zhang, I. B. Nikolaev, B. X. Yu, J. H. Yin, D. Y. Liu, J. B. Jiao, Z. T. Sun, D. M. Li, Z. H. Qin, M. Shao, Y. T. Gu, Zhi Zeng, Nasser Kalantar-Nayestanaki, B. Y. Zhang, X. T. Huang, C. Morales Morales, Jin Li, Y. Ban, P. Weidenkaff, F. H. Heinsius, M. Y. Dong, V. Prasad, S. Han, M. Pelizaeus, W. G. Li, E. Fioravanti, Y. K. Sun, Xiaoyu Zhou, S. P. Wen, X. R. Zhou, H. S. Chen, H. L. Dai, Igor Boyko, H. B. Liu, J. H. Zou, Cheng Li, S. Spataro, X. P. Xu, L. H. Wu, A. Sarantsev, D. H. Wei, P. R. Li, J. S. Lange, M. G. Zhao, Y. H. Yang, R. P. Guo, J. Zhu, Yi Jin, Lei Li, J. W. Li, L. Xia, S. S. Sun, X. S. Qin, J. Q. Zhang, S. L. Niu, F. Y. Li, X. Q. Li, Y. F. Long, Y. J. Xiao, M. Greco, R. Baldini Ferroli, Niu Xiaoyang, R. E. Mitchell, Z. X. Meng, H. Liang, M. Fritsch, S. Ahmed, Ke Liu, Q. A. Malik, G. Mezzadri, X. Q. He, L. P. Zhou, Y. M. Ma, Z. P. Mao, X. A. Xiong, J. Fang, Z. Gao, Ch. Rosner, A. A. Zafar, Magnus Wolke, Y. F. Liang, G. F. Cao, K. Y. Liu, S. Qian, Q. An, Jialun Ping, D. P. Jin, K. H. Rashid, Z. B. Li, K. Zhang, Y. T. Liang, X. Y. Zhang, S. J. Chen, W. Ikegami Andersson, Y. F. Wang, K. J. Li, J. Libby, Dayong Wang, N. Qin, M. Lara, X. H. Mo, L. S. Wang, Xiaozhong Huang, Yaquan Fang, A. Pitka, J. B. Liu, Y. J. Sun, Yifan Yang, Andrzej Kupsc, T. Hussain, J. F. Sun, X. Y. Ma, Z. Liu, M. L. Chen, K. Schoenning, Q. Y. Li, B. S. Zou, S. Marcello, Y. P. Lu, Niklaus Berger, Y. Zeng, W. X. Gong, S. Lusso, L. L. Wang, H. Cai, Y. B. Chen, Xiaofeng Zhu, J. Z. Zhang, J. J. Song, L. Sun, M. Kuemmel, Matthew Glenn Kurth, W. Shan, X. H. Sun, Dan Wang, Krisztian Peters, G. R. Liao, X. Liu, H. R. Qi, X. L. Luo, K. Begzsuren, F. Bianchi, Serkant Ali Cetin, Zongyuan Wang, Q. Ouyang, S. S. Fang, Y. B. Liu, Huanhuan Liu, G. Felici, H. J. Li, Q. L. Xiu, X. Tang, A. Yuncu, M. Rolo, F. Cossio, Yunlong Zhang, H. L. Liu, D. Bettoni, R. Poling, S. Zhu, M. Destefanis, M. Qi, H. J. Yang, X. Zhou, I. Tapan, Y. H. Yan, J. W. Zhao, Y. C. Zhu, Y. Zhang, E. Boger, T. Held, M. Albrecht, W. D. Li, B. T. Tsednee, J. Min, Ling Zhao, B. Kopf, K. L. He, M. Z. Wang, Jimin Zhao, P. L. Li, S. F. Zhang, Zhiqing Liu, T. Johansson, J. F. Chang, O. B. Kolcu, X. Cai, L. Lavezzi, X. Q. Hao, M. Richter, Z. Ning, Jun-Yi Zhang, Y. P. Guo, Z. P. Zhang, P. L. Chen, D. W. Bennett, Zujian Wang, Y. Bai, C. Sowa, Y. B. Zhao, J. Dong, Y. Q. Wang, S. Nisar, C. J. Tang, D. Xiao, X. Y. Jiang, M. M. Ma, Y. Pan, J. Chai, G. X. Sun, J. V. Bennett, Z. Jiao, Fu-Hu Liu, and D. H. Zhang

Subjects
Physics, Particle physics, Flavor, Lepton, Universality (dynamical systems)
Published
2020
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40. A novel compliance-pressure loop approach to quantify arterial compliance in systole and in diastole

Author

Mehmet Kaya, Vignesh Balasubramanian, Yueya Ge, John K-J. Li, and Amit Patel

Subjects
medicine.medical_specialty, Mean arterial pressure, Systole, 0206 medical engineering, Pulsatile flow, Diastole, Blood Pressure, Health Informatics, 02 engineering and technology, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Humans, Medicine, Cardiac cycle, business.industry, Models, Cardiovascular, Arteries, Stroke volume, 020601 biomedical engineering, Computer Science Applications, Pulse pressure, Blood pressure, Hypertension, Cardiology, Hypotension, business
Abstract

Arterial compliance has been recognized as a critical parameter in governing pulsatile flow dynamics. It has traditionally been assumed constant throughout the cardiac cycle and its computation has been based either on the classic Windkessel model (C) in diastole or the stroke volume over pulse pressure (Cv) method in systole. Other methods using area (Cam) or two-area (Ctam) and exponential (C(P)exp1) methods were used for the cardiac cycle. We proposed a novel compliance-pressure loop (CPP loop) approach for the quantification of arterial compliance and compared it to existing linear and nonlinear methods. Experimental data were gathered in 5 dogs and blood pressure levels were varied (systolic pressure of 100 mmHg-185 mmHg) with induced hypertension and vasodilation. Results showed the limited regime of validity of C (Control:0.4681 ± 0.1270 ml/mmHg, MTX:0.3015 ± 0.1264 ml/mmHg and NTP:1.8323 ± 0.7207 ml/mmHg) and Cv (Control:0.3583 ± 0.0158 ml/mmHg, MTX:0.2602 ± 0.1275 ml/mmHg and NTP:0.4131 ± 0.0589 ml/mmHg), Cam (Control:0.4175 ± 0.0505, MTX:0.3086 ± 0.1568 and NTP:1.4181 ± 0.4812) and Ctam (Control: 0.2064 ± 0.0228 ml/mmHg, MTX:0.1967 ± 0.0884 ml/mmHg, NTP:0.0881 ± 0.0375 ml/mmHg) and that C(P)exp1 underestimates the arterial compliance compared to our method (Control:0.2233 ± 0.0168 ml/mmHg vs 0.4481 ± 0.0515 ml/mmHg, MTX:0.1976 ± 0.0964 ml/mmHg vs 0.3273 ± 0.1443 ml/mmHg and NTP: 0.2177 ± 0.0273 ml/mmHg vs 1.9990 ± 1.8221 ml/mmHg at mean arterial pressure). The CPP method based on the exponential method is superior, as it provides continuous compliance variations and CPP loop area can be readily visualized from hypotension to hypertension conditions. We conclude that the concept of using compliance-pressure loop is advantageous as it can afford continuous and accurate tracking of the dynamic arterial behavior despite greatly varying blood pressure levels.

Published
2018
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41. Aortic Pressure Estimation Using Blind Identification Approach on Single Input Multiple Output Nonlinear Wiener Systems

Author

John K-J. Li, Amit Patel, Barry A. Finegan, and Michael Sean McMurtry

Subjects
Finite impulse response, Biomedical Engineering, 030204 cardiovascular system & hematology, Signal, law.invention, 03 medical and health sciences, 0302 clinical medicine, law, Control theory, Humans, Arterial Pressure, Aorta, Mathematics, Mathematical analysis, Models, Cardiovascular, System identification, Blood Pressure Determination, Signal Processing, Computer-Assisted, Function (mathematics), System dynamics, Nonlinear system, Pressure measurement, Nonlinear Dynamics, Kernel (statistics), Algorithms, 030217 neurology & neurosurgery
Abstract

Aortic pressure ( ${P_a}$ ) is important for diagnosis of cardiovascular diseases, but it cannot be directly measured by noninvasive means. We present a method for its estimation by modeling arterial system as multichannel Weiner system with linear finite impulse response filter accounting for larger arteries transmission channel and nonlinear memoryless function block accounting for all nonlinearities due to narrowing of arteries, branching and visco-elastic forces. With this structure when pressure waveforms are measured from two distinct peripheral locations, multichannel blind system identification (MBSI) technique can be used to estimate common input pressure signal or ${P_a}$ . Nonlinear MBSI method was employed on previously acquired human hemodynamic measurements (seven datasets); results show ${P_a}$ can be accurately derived. This method by nature is self-calibrating to account for any interpersonal, along with intrapersonal, vascular dynamics inconstancy. Besides Pa estimation, the proposed MBSI method also allows extraction of system dynamics for vascular channels.

Published
2018
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42. Modeling of pulsatile flow-dependent nitric oxide regulation in a realistic microvascular network

Author

Gangmin Ning, Wolfgang M. Kuebler, Axel R. Pries, Ruofan Wang, John K-J. Li, and Qing Pan

Subjects
0301 basic medicine, medicine.medical_specialty, Time Factors, Pulsatile flow, Hemodynamics, Vasodilation, Nitric Oxide, Mechanotransduction, Cellular, Biochemistry, Microcirculation, 03 medical and health sciences, Internal medicine, medicine, Shear stress, Animals, Computer Simulation, Mesentery, Chemistry, Models, Cardiovascular, Numerical Analysis, Computer-Assisted, Cell Biology, Rats, Pulse pressure, 030104 developmental biology, Endocrinology, Flow conditions, Pulsatile Flow, Microvessels, Stress, Mechanical, Cardiology and Cardiovascular Medicine, Perfusion, Biomedical engineering
Abstract

Hemodynamic pulsatility has been reported to regulate microcirculatory function. To quantitatively assess the impact of flow pulsatility on the microvasculature, a mathematical model was first developed to simulate the regulation of NO production by pulsatile flow in the microcirculation. Shear stress and pressure pulsatility were selected as regulators of endothelial NO production and NO-dependent vessel dilation as feedback to control microvascular hemodynamics. The model was then applied to a real microvascular network of the rat mesentery consisting of 546 microvessels. As compared to steady flow conditions, pulsatile flow increased the average NO concentration in arterioles from 256.8±93.1nM to 274.8±101.1nM (P

Published
2017
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43. Observation and study of the decay J/ψ→ϕηη′

Author

X. L. Ji, Jun-Yi Zhang, Huanhuan Liu, Y. F. Wang, Z. Y. Zhang, G. Felici, D. Y. Liu, J. B. Jiao, T. Hussain, X. Y. Ma, Y. G. Xie, W. X. Gong, D. W. Bennett, Zujian Wang, Bibo Ke, W. B. Yan, F. De Mori, Z. L. Dou, X. Y. Zhou, T. Y. Qi, H. J. Li, G. R. Liao, C. H. Li, X. H. Sun, Y. Ding, M. Kuessner, Q. L. Xiu, J. Y. Liu, Q. Gao, Y. N. Gao, B. J. Liu, Y. Zhang, S. Pacetti, Feng Yan, R. Farinelli, Ke Li, X. K. Chu, Y. X. Xia, X. K. Zhou, M. H. Ye, X. F. Wang, Q. M. Ma, A. Mustafa, H. L. Ma, D. M. Li, H. Muramatsu, J. F. Sun, S. Marcello, Y. Zeng, Zhe Sun, S. Lusso, W. Kühn, Z. Y. You, Z. A. Zhu, M. Y. Dong, M. Pelizaeus, S. Ahmed, Y. X. Yang, Kang Li, H. J. Lu, J. G. Lu, Q. Zhao, Y. Z. Sun, I. K. Keshk, C. X. Lin, Alexander Leon Gilman, Gang Zhao, H. R. Qi, G. A. Chelkov, Xiao-Rui Lyu, M. Richter, Z. Ning, X. Y. Niu, Y. Yuan, Y. S. Zhu, Z. Gao, S. L. Niu, X. Q. Li, Y. F. Long, Zongyuan Wang, L. Y. Dong, Y. B. Chen, Xiaofeng Zhu, J. Z. Zhang, J. H. Zou, S. S. Sun, Y. P. Guo, F. E. Maas, T. Hu, F. Li, X. Tang, J. J. Song, L. Sun, Serkant Ali Cetin, Yu Zhang, M. M. Ma, S. B. Liu, F. C. Ma, C. P. Shen, L. J. Wu, X. L. Li, O. Bakina, Y. H. Xie, Y. G. Gao, J. Pellegrino, X. Q. Hao, R. E. Mitchell, Yi Zhang, Y. Nefedov, M. Rolo, K. Y. Liu, W. S. Cheng, Yao Zhang, G. Li, M. Bertani, S. Qian, Q. An, Jialun Ping, Q. Liu, Tristan Weber, M. G. Zhao, Y. H. Yang, M. Kuemmel, Matthew Glenn Kurth, Y. J. Mo, S. Q. Qu, Q. Ouyang, Lingxuan Zhang, Z. B. Li, Fang Liu, K. Zhang, X. Y. Zhang, P. X. Shen, M. Maggiora, Ling Zhao, Z. Wu, S. S. Fang, W. Ikegami Andersson, Zhiqing Liu, Z. Haddadi, P. Larin, U. Wiedner, I. Denysenko, L. L. Ma, R. P. Guo, J. Zhu, L. Gong, J. F. Qiu, J. B. Liu, L. Yang, M. Papenbrock, P. Kiese, L. Fava, I. Tapan, Y. B. Liu, Lei Zhao, Z. L. Hou, T. Johansson, J. F. Chang, Zhiqing Zhang, X. H. Mo, B. Y. Zhang, P. L. Wang, F. Nerling, R. A. Briere, L. G. Xia, A. Amoroso, Y. H. Yan, C. D. Fu, C. Q. Feng, X. R. Chen, L. S. Wang, G. S. Huang, Z. A. Liu, Y. J. Sun, Yifan Yang, E. Boger, V. Prasad, X. L. Luo, Q. P. Ji, F. Cossio, I. R. Boyko, K. J. Zhu, Y. P. Lu, Yang Zhang, J. Chai, J. W. Zhao, O. B. Kolcu, X. S. Jiang, L. L. Wang, X. Cai, L. Lavezzi, K. Begzsuren, Dan Wang, A. Dbeyssi, G. Y. Tang, H. Cai, Y. C. Zhu, W. P. Wang, Liqing Xu, X. Y. Shen, S. J. Zhao, F. Bianchi, Y. Ban, P. Weidenkaff, I. B. Nikolaev, C. Z. Yuan, Y. H. Zheng, R. X. Yang, Cong-Feng Qiao, S. P. Wen, Z. Y. Deng, M. Ripka, J. H. Yin, A. Pitka, M. Kornicer, Angelo Rivetti, Jie Zhao, D. X. Lin, X. S. Qin, Alexey Zhemchugov, H. M. Hu, M. Shao, Y. T. Gu, F. H. Liu, G. X. Sun, J. V. Bennett, Li Yan, A. Julin, O. Cakir, Meng Wang, Muhammad Irshad, Yunlong Zhang, Z. Jiao, D. H. Zhang, H. L. Liu, T. Held, D. Bettoni, Nicolas Berger, N. Yu. Muchnoi, X. S. Kang, J. W. Zhang, E. Fioravanti, Y. H. Zhang, X. R. Zhou, Cheng Li, J. L. Zhang, F. A. Harris, Q. J. Xu, J. Q. Zhang, Y. T. Tan, A. Sarantsev, D. H. Wei, P. R. Li, J. S. Lange, C. Sowa, Y. B. Zhao, Jianping Zheng, J. Z. Bai, S. L. Olsen, S. Zhu, W. Shan, Z. P. Zhang, H. Leithoff, J. Dong, W. Gradl, J. C. Chen, T. Khan, M. H. Gu, R. Kiuchi, Xuanhong Lou, Z. Y. Wang, M. Albrecht, W. D. Li, Nasser Kalantar-Nayestanaki, D. Y. Wang, B. T. Tsednee, M. Qi, S. X. Du, C. Morales Morales, S. Nisar, X. H. Liu, C. J. Tang, Y. Hu, H. Y. Sheng, C. X. Yu, J. P. Dai, H. J. Yang, Yue Pan, M. Destefanis, X. L. Gao, B. Zheng, R. G. Ping, F. Feldbauer, D. Xiao, Z. L. Huang, Z. G. Wang, X. P. Xu, X. B. Ji, M. Tiemens, H. Y. Zhang, Feng Liu, M. Ablikim, X. Y. Jiang, H. Liang, C. Dong, S. Sosio, G. F. Chen, P. Patteri, J. Y. Zhang, X. N. Ma, Joachim Pettersson, A. Q. Guo, Z. Y. Peng, J. Min, R. Kliemt, A. Mangoni, A. Guskov, Jie Yu, H. B. Liu, Y. K. Heng, W. M. Song, B. Kopf, B. Wang, K. L. He, S. W. Han, M. Fritsch, M. Kavatsyuk, Jimin Zhao, Z. H. Qin, P. L. Li, X D Shi, C. F. Redmer, G. Cibinetto, Y. J. Mao, H. X. Yang, I. Garzia, B. X. Zhang, B. Garillon, Huihui Liu, Magnus Wolke, Y. F. Liang, J. G. Messchendorp, L. Koch, A. Khoukaz, Qiunan Xu, D. P. Jin, W. G. Li, A. G. Denig, Y. K. Sun, Xiaoyu Zhou, S. Spataro, H. M. Liu, Dayong Wang, N. Qin, J. F. Hu, G. F. Cao, I. Uman, R. Baldini Ferroli, Z. J. Xiao, Ke Liu, P. L. Chen, Xiaozhong Huang, X. L. Wang, Andrzej Kupsc, Krisztian Peters, M. L. Chen, J. Libby, Yaquan Fang, M. Greco, M. Z. Wang, Shou-hua Zhu, X. N. Li, Haiping Peng, K. Schoenning, Q. Y. Li, B. S. Zou, Ke Wang, Q. A. Malik, G. Mezzadri, W. C. Yan, X. Q. He, M. N. Achasov, L. P. Zhou, R. Poling, P. F. Duan, F. H. Heinsius, Y. M. Ma, Z. P. Mao, Fenfen An, J. Fang, Ch. Rosner, B. L. Wang, T. C. Zhao, Tao Luo, B. X. Yu, F. Y. Li, H. S. Chen, Alperen Yuncu, Jin Li, H. L. Dai, G. F. Xu, S. Jin, X. Y. Song, K. Goetzen, L. D. Liu, J. J. Xu, Z. Q. Yang, H. B. Li, C. L. Luo, J. S. Huang, C. X. Liu, Q. Zhou, C. C. Zhang, B. Zhong, Lei Li, M.G. Alekseev, A. N. Zhu, Tao Zhang, T. Ma, Xu Shan, J. C. Li, J. Zhuang, M. X. Luo, D. V. Dedovich, Xu Zhou, A. Calcaterra, Z. G. Zhao, S. Fegan, L. Z. Liao, Yu Bai, H. H. Zhang, Z. J. Sun, S. Maldaner, L. H. Wu, M. Savrie, Yi Jin, J. W. Li, Y. J. Xiao, Z. X. Meng, X. A. Xiong, A. A. Zafar, K. H. Rashid, Y. T. Liang, S. J. Chen, K. J. Li, X. T. Huang, and G. Rong

Subjects
Nuclear physics, Physics, Angular distribution, 010308 nuclear & particles physics, Branching fraction, Electron–positron annihilation, 0103 physical sciences, Detector, High Energy Physics::Experiment, Nuclear Experiment, 010306 general physics, Parity (mathematics), 01 natural sciences
Abstract

We report the observation and study of the decay J/psi -> phi eta eta' phi eta eta' using 1.3 x 10(9) J/psi events collected with the BESIII detector. Its branching fraction, including all possi ...

Published
2019
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44. Study of e+e−→γωJ/ψ and Observation of X(3872)→ωJ/ψ

Author

J. Libby, Yaquan Fang, A. Guskov, X. D. Shi, Lu F. X., W. B. Yan, John Jake Lane, Tao Luo, Xiao-Rui Lyu, C. H. Heinz, Guoqiang Yu, Su K. X., Li S. Y., K. Schoenning, Ma R. T., B. S. Zou, Gu L. M., Y. G. Gao, W. H. Wang, S. Pacetti, Niklaus Berger, Y. Ban, P. Weidenkaff, F. H. Heinsius, G. Wilkinson, A. Q. Guo, Wen-Zhao Liu, G. Li, J. L. Liu, S. P. Wen, Y. H. Tan, D. Y. Liu, H. S. Chen, X. Wu, A. Gilman, J. B. Jiao, C. Q. Feng, X. R. Chen, X. R. Zhou, F. E. Maas, T. Hu, X. Wang, F. De Mori, Igor Boyko, J. Bloms, Z. Y. Deng, Hai-Tian Wang, Li C. H., N. Hüsken, S. Nisar, A. Calcaterra, Z. G. Zhao, Wu L. J., Xu Q. J., M. Albrecht, He K. L., O. Bakina, Hao Liang, I. Denysenko, I. B. Nikolaev, L. Z. Liao, Xingguo Li, Guangshun Huang, S. Y. Xiao, R. Kliemt, M. Kuessner, L. Yan, Li J. Q., W. J. Zhu, L. Koch, A. Khoukaz, Y. Y. Wang, Xu Y. C., M. Fritsch, Fu C. D., J. Tang, X D Shi, K. Begzsuren, R. Baldini Ferroli, Ji X. B., Tao Sun, X. Dong, S. Nakhoul, J. Z. Zhao, Q. P. Ji, Li J. S., Mo X. H., C. Li, S. Malde, Guangyi Zhang, P. X. Shen, Xiao Cai, Xiangcheng Pan, Y. J. Mao, M. Q. Jing, Hu H. M., M. Z. Wang, H. Y. Zhang, Jianhao Zhang, Y. K. Heng, H. K. Sun, Yunlong Zhang, M. H. Liu, F. Bianchi, H. H. Zhang, Xu X. P., Ye M. H., K. Peters, K. J. Zhu, Ji Q. P., H. X. Yang, Q. An, Jialun Ping, X. Y. Shen, L. Y. Dong, J. X. Teng, Lu Y. P., D. Bettoni, Liangbin Li, Peilian Liu, X. Y. Zhang, Su P. P., Xujin Yuan, X. L. Wang, Y. H. Zheng, Y. X. Zhao, Y. H. Xie, S. B. Liu, Zhiqing Zhang, Y. X. Tan, T. Liu, J. F. Qiu, Cong-Feng Qiao, G. Cibinetto, Ma R. Q., G. A. Chelkov, Haiping Peng, Yu C. X., J. B. Liu, R. Poling, B. Kopf, W. Y. Han, Li D. M., Zhiyong Zhang, Q. A. Malik, M. Y. Dong, R. Farinelli, A. Mangoni, Du S. X., Ma F. C., L. Yang, A. Lavania, H. B. Liu, Y. Yuan, M. Lellmann, Y. J. Sun, M. Maggiora, W. X. Gong, Y. Nefedov, M. Rolo, Lei Zhao, Z. L. Hou, Zhi Yang, Y. Ding, Xu G. F., P. W. Luo, X. S. Kang, Y. C. Zhu, J. L. Zhang, F. F. Sui, Q. Liu, Gu Y. T., Stephen Lars Olsen, J. G. Messchendorp, A. Rivetti, M. N. Achasov, J. H. Zou, T. Lenz, Mo Y. J., Gu M. H., Z. Wu, R. E. de Boer, Z. P. Mao, H. J. Wang, T. J. Min, K. Y. Liu, I. Garzia, X. S. Qin, Jian Fang, R. Kiuchi, B. J. Liu, A. Yuncu, T. Y. Xing, D. Y. Chen, Z. H. Lei, Li Yuan, Li P. R., Li H. J., T. Held, Z. J. Chen, M. G. Zhao, J. Zhu, Libo Zhang, H. Muramatsu, X. F. Wang, Z. Y. Yuan, Ji Y. Y., Li Zhou, S. S. Sun, W. M. Song, Ma H. L., F. Weidner, W. Y. Sun, J. J. Zhang, F. Cossio, C. Z. Yuan, N. Cao, Y. Schelhaas, M. Destefanis, V. Rodin, Q. Ouyang, W. Kühn, S. Maldaner, Z. Y. You, Z. A. Zhu, W. C. Yan, A. G. Denig, Lu J. D., C. L. Luo, Q. Zhou, Ma L. L., W. H. Tian, A. Amoroso, S. S. Fang, C. Y. Guan, B. Zheng, R. G. Ping, M. Pelizaeus, S. Qian, T. Holtmann, C. W. Wang, G. Rong, Z. Y. Wang, Yi Chen, Li H. B., A. Dbeyssi, Ke B. C., J. F. Chang, X. P. Qin, Qi K. H., X. Liu, Haiwen Liu, Lu J. G., G. Y. Hou, Zeng, Y. B. Liu, C. P. Shen, C. Dong, Jiajun Zheng, L. Lavezzi, J. Y. Liu, Li L. K., R. E. Mitchell, G. F. Chen, W. Imoehl, S. Sosio, W. S. Cheng, B. Zhong, L. B. Guo, Z. H. Qin, Ma X. X., F. Li, L. L. Wang, H. Cai, J. Y. Zhang, M. L. Chen, G. Felici, Qi T. Y., A. N. Zhu, Ulrich Wiedner, Joachim Pettersson, Serkant Ali Cetin, H. F. Shen, J. F. Shangguan, Muhammad Irshad, Y. D. Wang, N. Y. Muchnoi, L. Q. Huang, Li J. L., K. Wang, Feng Yan, Qu S. Q., Jacek Biernat, Yanping Huang, Hu J. F., Y. L. Fan, J. H. Yin, Xu Shan, Lei Zhang, Lu H. J., Li W. D., Yu B. X., M. Qi, S. Ahmed, Y. X. Yang, Ma X. Y., F. Feldbauer, M. Shao, C. X. Yue, M. X. Luo, Dylan Jaide White, W. L. Chang, W. P. Wang, H. Leithoff, An M. R., H. J. Yang, T. T. Han, L. Wollenberg, D. V. Dedovich, M. Scodeggio, Ma M. M., S. J. Zhao, M. Ablikim, Xingchao Dai, Qi H. R., Q. Zhao, Y. Z. Sun, Y. P. Guo, Z. Qian, G. Mezzadri, X. D. Zhang, Xiang Zhou, I. K. Keshk, A. Bortone, Xuanhong Lou, Viktor Thorén, H. Qi, C. X. Lin, Nasser Kalantar-Nayestanaki, B. Wang, M. Rump, Gang Zhao, Yue Pan, A. Sarantsev, J. Zhang, M. Kavatsyuk, I. Balossino, D. H. Wei, J. S. Lange, H. C. Shi, B. X. Zhang, Y. K. Sun, Z. Huang, S. Spataro, Ge P. T., Wu L. H., Y. Zhang, G. F. Cao, D. C. Shan, M. Bertani, Z. Ning, H. B. Jiang, W. Gradl, Y. X. Song, D. Y. Wang, S. L. Yang, X. Sun, G. R. Liao, J. F. Sun, F. Liu, S. Marcello, Y. Zeng, Zhe Sun, S. Lusso, X. H. Xie, J. Z. Zhang, H. S. Sang, J. J. Song, L. Sun, M. Kuemmel, Matthew Glenn Kurth, P. Kiese, W. Shan, Yuan Hou, R. A. Briere, X. S. Jiang, Wei Xu, P. Adlarson, X. F. Cui, Y. F. Wang, J. Zhao, T. Hussain, Evelina Gersabeck, A. Pathak, K. Ravindran, M. Greco, Jie Feng, Tong Zhu, R. P. Guo, W. Ikegami Andersson, Shan Jin, K. Goetzen, A. Q. Zhang, S. Zhang, R. Kappert, S. Gu, X. L. Luo, L. D. Liu, C. X. Liu, G. Y. Tang, Li X. L., Jie Zhao, Z. X. Meng, Yongke Zhao, X. H. Bai, A. A. Zafar, Christoph Herold, K. H. Rashid, Hui Li, Y. T. Liang, R. Aliberti, S. J. Chen, K. J. Li, L. Fava, V. Prasad, F. Nerling, J. Dong, C. J. Tang, Y. Hu, Y. P. Lu, P. Patteri, Z. A. Liu, L. Q. Qin, Yi Jin, L. Xia, Xu Yan, Li Z. Y., H. L. Dai, S. F. Zhang, F. A. Harris, S. Janchiv, M. Himmelreich, Zhiqing Liu, T. Johansson, C. Zhong, O. B. Kolcu, Yu-Xiao Liu, Z. H. Wang, Wu J. F., X. Q. Hao, C. F. Redmer, S. H. Zhu, C. Schnier, Y. Q. Wang, T. Yu, Li X. H., A. Zhemchugov, X. T. Huang, X. K. Zhou, Lu X. L., Yu J. S., G. X. Sun, H. Xiao, Ji X. L., Z. Jiao, Fu-Hu Liu, Yang Yang, C.-H. Rosner, Wenbin Qian, C. Geng, I. Uman, R. S. Shi, Y. Bai, S. Jaeger, P. Larin, Ma Q. M., L. Gong, Z. J. Xiao, Yuguang Xie, Andrzej Kupsc, M. Ye, Magnus Wolke, Y. F. Liang, and Li W. G.

Subjects
Particle physics, Electron–positron annihilation, General Physics and Astronomy, 01 natural sciences, Spectral line, law.invention, Luminosity, Nuclear physics, Cross section (physics), law, 0103 physical sciences, Invariant mass, Collider, 010306 general physics, Physics, Annihilation, Mass distribution, 010308 nuclear & particles physics, High Energy Physics::Phenomenology, Order (ring theory), Resonance, Baryon, Phase space, High Energy Physics::Experiment, Center of mass, Atomic physics, Energy (signal processing), Storage ring, Bar (unit), X(3872)
Abstract

We study the e^{+}e^{-}→γωJ/ψ process using 11.6 fb^{-1} e^{+}e^{-} annihilation data taken at center-of-mass energies from sqrt[s]=4.008 GeV to 4.600 GeV with the BESIII detector at the BEPCII storage ring. The X(3872) resonance is observed for the first time in the ωJ/ψ system with a significance of more than 5σ. The relative decay ratio of X(3872)→ωJ/ψ and π^{+}π^{-}J/ψ is measured to be R=1.6_{-0.3}^{+0.4}±0.2, where the first uncertainty is statistical and the second systematic (the same hereafter). The sqrt[s]-dependent cross section of e^{+}e^{-}→γX(3872) is also measured and investigated, and it can be described by a single Breit-Wigner resonance, referred to as the Y(4200), with a mass of 4200.6_{-13.3}^{+7.9}±3.0 MeV/c^{2} and a width of 115_{-26}^{+38}±12 MeV. In addition, to describe the ωJ/ψ mass distribution above 3.9 GeV/c^{2}, we need at least one additional Breit-Wigner resonance, labeled as X(3915), in the fit. The mass and width of the X(3915) are determined. The resonant parameters of the X(3915) agree with those of the Y(3940) in B→KωJ/ψ and of the X(3915) in γγ→ωJ/ψ observed by the Belle and BABAR experiments within errors.

Published
2019
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45. Augmentation index in the assessment of wave reflections and systolic loading

Author

Vignesh Balasubramanian, Mehmet Kaya, and John K-J. Li

Subjects
0301 basic medicine, Nitroprusside, medicine.medical_specialty, Databases, Factual, Surrogate measure, Systole, Health Informatics, Vasodilation, Blood Pressure, Hemorrhage, Pulse Wave Analysis, Methoxamine, 03 medical and health sciences, 0302 clinical medicine, Dogs, Internal medicine, Linear regression, Heart rate, Medicine, Animals, Humans, Reflection coefficient, Hemodilution, business.industry, Models, Cardiovascular, Computer Science Applications, 030104 developmental biology, Hypertension, Aortic pressure, Cardiology, business, 030217 neurology & neurosurgery, medicine.drug
Abstract

Background Augmentation index (AIx) is used to quantify the augmented systolic aortic pressure that impedes ventricular ejection. Its use as an index of wave reflections is questionable. We hypothesize that AIx is quantitatively different from the reflection coefficient under varied physiological conditions. Methods 42 datasets of aortic pressure and flow waveforms were obtained during induced hypertension (methoxamine infusion) and vasodilation (nitroprusside infusion) in our mongrel dog experiments (n = 5) and from Mendeley data during various interventions (vasoconstrictors, vasodilators, pacing, stimulation, hemorrhage and hemodilution). Wave reflections and principal components of reflection coefficients were computed for comparison to AIx and heart rate normalized AIx. Results Principal reflection coefficient, Γ1, increased in hypertension and decreased in vasodilation, hemorrhage and hemodilution. AIx followed the trend in many cases but was consistently lower than Γ1 in almost all the subjects. The Bland-Altman analysis also showed that both AIx and normalized AIx underestimated Γ1. The relationship between augmentation index and reflection coefficient was explained by a linear regression model (r2 = 0.23, p Conclusion AIx is a reasonable clinical trend indicator, albeit not an accurate surrogate measure of the amount of wave reflections.

Published
2019

46. Interpretation of a new biomarker for the right ventricle introduced to evaluate the severity of pulmonary arterial hypertension

Author

Neal Handly, John K-J. Li, Peter L. M. Kerkhof, Physics and medical technology, Radiology and nuclear medicine, and ACS - Heart failure & arrhythmias

Subjects
Pulmonary and Respiratory Medicine, lcsh:RC705-779, medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, business.industry, risk stratification, lcsh:Diseases of the respiratory system, right ventricle, medicine.anatomical_structure, Ventricle, lcsh:RC666-701, Internal medicine, pulmonary arterial hypertension, Risk stratification, Cardiology, medicine, Biomarker (medicine), biomarker, pediatric cardiology, business, Letter to the Editor, Pediatric cardiology
Published
2019
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47. Precision Measurement of the Branching Fractions of <math><mrow><msup><mrow><mi>η</mi></mrow><mrow><mo>′</mo></mrow></msup></mrow></math> Decays

Author

Y. B. Zhao, J. Dong, L. Koch, A. Khoukaz, S. Nisar, M. Kuemmel, Matthew Glenn Kurth, W. Shan, D. Y. Liu, J. B. Jiao, R. Baldini Ferroli, C. J. Tang, Y. Hu, Y. P. Lu, Z. A. Liu, S. J. Zhao, P. Kiese, H. J. Lu, J. G. Lu, M. Qi, J. J. Xu, Z. Q. Yang, F. E. Maas, T. Hu, O. Bakina, P. X. Shen, Z. Wu, Zhiqing Zhang, D. Xiao, Q. J. Xu, J. C. Chen, Xuanhong Lou, S. Leiber, Nasser Kalantar-Nayestanaki, Z. X. Meng, X. A. Xiong, Huanhuan Liu, T. Khan, G. Felici, Q. Liu, H. J. Yang, I. Uman, J. S. Huang, C. X. Liu, X. N. Li, Haiping Peng, J. Libby, R. Kliemt, Guangshun Huang, X. L. Ji, A. A. Zafar, Y. Ding, X. Y. Jiang, M. M. Ma, R. A. Briere, X. S. Jiang, Ke Wang, A. Mangoni, L. Yan, M. Kuessner, C. Morales Morales, K. H. Rashid, Z. G. Wang, H. Y. Zhang, Haiwen Liu, F. Feldbauer, A. Guskov, Jie Yu, L. L. Ma, L. Gong, Y. Ban, P. Weidenkaff, F. H. Heinsius, J. C. Li, J. Zhuang, M. X. Luo, D. V. Dedovich, S. Nakhoul, P. Larin, S. F. Zhang, Yaquan Fang, M. Albrecht, Y. T. Liang, W. Imoehl, Y. G. Xie, Z. L. Huang, S. J. Chen, Feng Liu, P. L. Wang, G. F. Xu, M. Ablikim, Y. Pan, Xu Zhou, Krisztian Peters, B. J. Liu, A. Pitka, G. F. Chen, A. Amoroso, K. J. Li, P. F. Duan, S. X. Du, Muhammad Irshad, K. J. Zhu, J. Chai, Fenfen An, V. Prasad, Z. L. Dou, S. Han, W. D. Li, B. L. Wang, G. X. Sun, J. V. Bennett, S. P. Wen, X. R. Zhou, T. Y. Qi, W. Kühn, S. L. Yang, Zhiqing Liu, G. Cibinetto, A. Dbeyssi, R. Farinelli, J. Y. Zhang, T. C. Zhao, G. A. Chelkov, H. J. Li, P. W. Luo, Z. Jiao, Fu-Hu Liu, D. H. Zhang, G. R. Liao, Cheng Li, Y. X. Xia, S. H. Zhu, L. H. Wu, K. Schoenning, Q. Y. Li, B. S. Zou, Z. Y. You, Z. A. Zhu, H. B. Li, A. G. Denig, C. L. Luo, S. Qian, Q. An, Jialun Ping, K. Zhang, X. Xia, Q. Zhou, B. T. Tsednee, T. Johansson, M. Savrie, J. F. Chang, Niklaus Berger, Xiao-Rui Lyu, Q. A. Malik, F. A. Harris, W. L. Chang, Q. L. Xiu, X. N. Ma, H. Leithoff, Yi Jin, H. H. Wang, S. B. Liu, Stephen Lars Olsen, H. L. Ma, Y. H. Xie, J. Pellegrino, T. Weber, J. W. Li, L. Xia, Y. Zhang, Tao Luo, D. M. Li, C. C. Zhang, G. Mezzadri, X. Y. Zhang, B. Zhong, L. B. Guo, Y. J. Xiao, Angelo Rivetti, F. Li, F. C. Ma, Y. G. Gao, L. K. Li, Zongyuan Wang, Jun-Yi Zhang, Y. P. Guo, Y. F. Wang, Y. H. Zheng, Cong-Feng Qiao, O. B. Kolcu, J. L. Zhang, F. F. Sui, L. Zhang, C. P. Shen, Y. Nefedov, Bibo Ke, X. H. Mo, L. S. Wang, J. B. Liu, M. Maggiora, Ling Zhao, W. M. Song, H. Muramatsu, A. N. Zhu, Ulrich Wiedner, N. Yu. Muchnoi, Tao Zhang, Y. J. Sun, Yifan Yang, L. M. Gu, G. Y. Tang, X. Cai, L. Lavezzi, L. P. Zhou, B. Wang, B. X. Yu, Y. M. Ma, Z. P. Zhang, M. H. Ye, X. B. Ji, M. Tiemens, M. H. Gu, R. Kiuchi, X. S. Kang, F. De Mori, W. B. Yan, H. Y. Sheng, Z. P. Mao, L. J. Wu, Jie Zhao, D. X. Lin, J. F. Sun, R. X. Yang, Y. H. Zhang, Xu Shan, Lei Zhao, Z. L. Hou, Alexey Zhemchugov, H. M. Hu, C. F. Redmer, J. F. Qiu, L. Fava, P. Patteri, P. L. Chen, D. W. Bennett, Zujian Wang, X. Q. Hao, Y Q Wang, Z. Y. Wang, Y. H. Yan, Q. Ouyang, C. X. Yu, Y. Bai, M. N. Achasov, Meng Wang, X. Y. Zhou, M. Kavatsyuk, J. Fang, Tao Li, M. Pelizaeus, L. L. Wang, H. Cai, H. S. Chen, A. Calcaterra, Z. G. Zhao, H. L. Dai, Igor Boyko, X. T. Huang, Michael Papenbrock, Bingxuan Liu, F. Yan, S. Marcello, B. Zheng, R. G. Ping, J. Min, Y. Zeng, L. Z. Liao, M. Richter, Z. Ning, S. S. Fang, W. S. Cheng, J. W. Zhao, Yao Zhang, G. Li, T. Hussain, Yang Zhang, X. Y. Ma, Y. C. Zhu, W. X. Gong, Zhe Sun, S. Lusso, H. H. Zhang, Z. Gao, S. Pacetti, A. Gilman, B. X. Zhang, X. Liu, M. Alekseev, H. R. Qi, Ch. Rosner, Z. J. Sun, C. D. Fu, J. Y. Liu, Y. B. Liu, Z. J. Xiao, B. Kopf, X. F. Wang, S. Maldaner, C. Q. Feng, X. R. Chen, X. K. Chu, Z. Y. Deng, Y. K. Heng, Cui Li, C. Z. Yuan, L. D. Liu, Y. B. Chen, Xingguo Li, L. Y. Dong, K. L. He, X. H. Sun, H. Liang, Xiaofeng Zhu, J. Z. Zhang, M. Z. Wang, Q. M. Ma, J. F. Hu, A. Mustafa, Zhiyong Zhang, X. L. Luo, J. J. Song, L. Sun, E. Boger, T. Held, Serkant Ali Cetin, W. J. Zheng, Ke Li, Jimin Zhao, P. L. Li, J. Q. Zhang, S. L. Niu, F. Nerling, Q. Gao, Y. N. Gao, M. Fritsch, F. Y. Li, X. Q. Li, Y. F. Long, M. Greco, M. Bertani, Z. Haddadi, K. Begzsuren, L. Yang, Magnus Wolke, Y. F. Liang, D. P. Jin, K. Y. Liu, Jianhao Zhang, M. Y. Dong, S. Q. Qu, Z. B. Li, W. Ikegami Andersson, I. B. Nikolaev, M. G. Zhao, Y. H. Yang, J. H. Yin, R. P. Guo, J. Zhu, Y. T. Tan, F. Bianchi, W. Gradl, M. Ripka, Dayong Wang, N. Qin, Ke Liu, D. Y. Wang, J. Z. Fan, M. Shao, Y. T. Gu, Xiaozhong Huang, Andrzej Kupsc, S. Ahmed, H. B. Liu, M. L. Chen, Y. X. Yang, A. Sarantsev, D. H. Wei, P. R. Li, J. S. Lange, Kang Li, J. H. Zou, Q. Zhao, S. S. Sun, Y. Z. Sun, Xiang Zhou, I. K. Keshk, X. S. Qin, Niu Xiaoyang, C. X. Lin, Gang Zhao, R. E. Mitchell, X. K. Zhou, Fang Liu, I. Denysenko, W. C. Yan, B. Y. Zhang, Y. Yuan, Y. S. Zhu, Yu Zhang, A. Q. Guo, Z. Y. Peng, C. W. Wang, G. Rong, W. P. Wang, Z. H. Qin, X D Shi, Y. J. Mao, H. X. Yang, I. Garzia, Y. J. Mo, Q. P. Ji, Liqing Xu, X. Y. Shen, B. Garillon, Huihui Liu, J. G. Messchendorp, J. P. Dai, W. G. Li, X. Tang, Y. K. Sun, Xiaoyu Zhou, S. Spataro, X. P. Xu, A. Yuncu, M. Rolo, Lei Li, G. F. Cao, F. Cossio, Yunlong Zhang, H. L. Liu, D. Bettoni, R. Poling, H. L. Jiang, Jianping Zheng, S. Zhu, T. J. Min, X. Y. Song, M. Destefanis, X. L. Gao, Shan Jin, K. Goetzen, C. Dong, S. Sosio, Joachim Pettersson, C. Sowa, and İstanbul Arel Üniversitesi

Subjects
Physics, Branching fraction, Electron–positron annihilation, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, General Physics and Astronomy, Branching (polymer chemistry), 01 natural sciences, High Energy Physics - Experiment, NO, Crystallography, ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS, ComputingMethodologies_PATTERNRECOGNITION, 0103 physical sciences, ddc:530, InformationSystems_MISCELLANEOUS, 010306 general physics
Abstract

PubMed ID: 31050481, Based on a sample of (1310.6±7.0)×106J/? events collected with the BESIII detector, we present measurements of J/? and ?? absolute branching fractions using the process J/?????. By analyzing events where the radiative photon converts into an e+e-pair, the branching fraction for J/????? is measured to be (5.27±0.03±0.05)×10-3. The absolute branching fractions of the five dominant decay channels of the ?? are then measured for the first time and are determined to be B(?????+?-)=(29.90±0.03±0.55)%, B(?????+?-)=(41.24±0.08±1.24)%, B(?????0?0)=(21.36±0.10±0.92)%, B(?????)=(2.489±0.018±0.074)%, and B(?????)=(2.331±0.012±0.035)%, where the first uncertainties are statistical and the second systematic. © 2019 authors. Published by the American Physical Society.

Published
2019
Full Text
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48. Observation of <math><mrow><msub><mrow><mi>χ</mi></mrow><mrow><mi>c</mi><mi>J</mi></mrow></msub><mo>→</mo><mn>4</mn><msubsup><mrow><mi>K</mi></mrow><mrow><mi>S</mi></mrow><mrow><mn>0</mn></mrow></msubsup></mrow></math>

Author

Ablikim, M., Achasov, M. N., Ahmed, S., Albrecht, M., Alekseev, M., Amoroso, A., F. F., An, An, Q., Bai, Y., Bakina, O., Ferroli, R. B., Ban, Y., Begzsuren, K., Bennett, D. W., Bennett, J. V., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Boger, E., Boyko, I., Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cetin, S. A., Chai, J., Chang, J. F., Chang, W. L., Chelkov, G., Chen, G., Chen, H. S., Chen, J. C., Chen, M. L., Chen, P. L., Chen, S. J., Chen, X. R., Chen, Y. B., Cheng, W., Chu, X. K., Cibinetto, G., Cossio, F., Dai, H. L., Dai, J. P., Dbeyssi, A., Dedovich, D., Deng, Z. Y., Denig, A., Denysenko, I., Destefanis, M., De Mori, F., Ding, Y., Dong, C., Dong, J., Dong, L. Y., Dong, M. Y., Dou, Z. L., S. X., Du, Duan, P. F., Fang, J., Fang, S. S., Fang, Y., Farinelli, R., Fava, L., Fegan, S., Feldbauer, F., Felici, G., Feng, C. Q., Fritsch, M., C. D., Fu, Gao, Q., Gao, X. L., Gao, Y., Gao, Y. G., Gao, Z., Garillon, B., Garzia, I., Gilman, A., Goetzen, K., Gong, L., Gong, W. X., Gradl, W., Greco, M., L. M., Gu, M. H., Gu, Y. T., Gu, Guo, A. Q., Guo, L. B., Guo, R. P., Guo, Y. P., Guskov, A., Haddadi, Z., Han, S., Hao, X. Q., Harris, F. A., K. L., He, X. Q., He, Heinsius, F. H., Held, T., Heng, Y. K., Hou, Z. L., H. M., Hu, J. F., Hu, Hu, T., Hu, Y., Huang, G. S., Huang, J. S., Huang, X. T., Huang, X. Z., Huang, Z. L., Hussain, T., Ikegami Andersson, W., Irshad, M., Ji, Q., Q. P., Ji, X. B., Ji, X. L., Ji, Jiang, H. L., Jiang, X. S., Jiang, X. Y., Jiao, J. B., Jiao, Z., Jin, D. P., Jin, S., Jin, Y., Johansson, T., Julin, A., Kalantar-Nayestanaki, N., Kang, X. S., Kavatsyuk, M., B. C., Ke, Keshk, I. K., Khan, T., Khoukaz, A., Kiese, P., Kiuchi, R., Kliemt, R., Koch, L., Kolcu, O. B., Kopf, B., Kornicer, M., Kuemmel, M., Kuessner, M., Kupsc, A., Kurth, M., Kuhn, W., Lange, J. S., Larin, P., Lavezzi, L., Leiber, S., Leithoff, H., Li, C., D. M., Li, Li, F., F. Y., Li, Li, G., H. B., Li, H. J., Li, J. C., Li, J. W., Li, K. J., Li, Li, K., Li, L., P. L., Li, P. R., Li, Q. Y., Li, Li, T., W. D., Li, W. G., Li, X. L., Li, X. N., Li, X. Q., Li, Z. B., Li, Liang, H., Liang, Y. F., Liang, Y. T., Liao, G. R., Liao, L. Z., Libby, J., Lin, C. X., Lin, D. X., Liu, B., Liu, B. J., Liu, C. X., Liu, D., Liu, D. Y., Liu, F. H., Liu, F., Liu, H. B., Liu, H. L., Liu, H. M., Liu, H., Liu, J. B., Liu, J. Y., Liu, K. Y., Liu, K., Liu, L. D., Liu, Q., Liu, S. B., Liu, X., Liu, Y. B., Liu, Z. A., Liu, Z., Long, Y. F., Lou, X. C., H. J., Lu, J. G., Lu, Lu, Y., Y. P., Lu, Luo, C. L., Luo, M. X., Luo, P. W., Luo, T., Luo, X. L., Lusso, S., Lyu, X. R., F. C., Ma, H. L., Ma, L. L., Ma, M. M., Ma, Q. M., Ma, X. N., Ma, X. Y., Ma, Y. M., Ma, Maas, F. E., Maggiora, M., Maldaner, S., Malik, Q. A., Mangoni, A., Mao, Y. J., Mao, Z. P., Marcello, S., Meng, Z. X., Messchendorp, J. G., Mezzadri, G., Min, J., Min, T. J., Mitchell, R. E., X. H., Mo, Y. J., Mo, Morales Morales, C., Muchnoi, N. Y., Muramatsu, H., Mustafa, A., Nakhoul, S., Nefedov, Y., Nerling, F., Nikolaev, I. B., Ning, Z., Nisar, S., Niu, S. L., Niu, X. Y., Olsen, S. L., Ouyang, Q., Pacetti, S., Pan, Y., Papenbrock, M., Patteri, P., Pelizaeus, M., Pellegrino, J., Peng, H. P., Peng, Z. Y., Peters, K., Pettersson, J., Ping, J. L., Ping, R. G., Pitka, A., Poling, R., Prasad, V., H. R., Qi, Qi, M., T. Y., Qi, Qian, S., Qiao, C. F., Qin, N., Qin, X. S., Qin, Z. H., Qiu, J. F., S. Q., Qu, Rashid, K. H., Redmer, C. F., Richter, M., Ripka, M., Rivetti, A., Rolo, M., Rong, G., Rosner, C., Sarantsev, A., Savrie, M., Schoenning, K., Shan, W., Shan, X. Y., Shao, M., Shen, C. P., Shen, P. X., Shen, X. Y., Sheng, H. Y., Shi, X., Song, J. J., Song, W. M., Song, X. Y., Sosio, S., Sowa, C., Spataro, S., Sui, F. F., Sun, G. X., Sun, J. F., Sun, L., Sun, S. S., Sun, X. H., Sun, Y. J., Sun, Y. K., Sun, Y. Z., Sun, Z. J., Sun, Z. T., Tan, Y. T., Tang, C. J., Tang, G. Y., Tang, X., Tiemens, M., Tsednee, B., Uman, I., Wang, B., Wang, B. L., Wang, C. W., Wang, D., Wang, D. Y., Wang, H. H., Wang, K., Wang, L. L., Wang, L. S., Wang, M., Wang, P., Wang, P. L., Wang, W. P., Wang, X. F., Wang, Y., Wang, Y. F., Wang, Z., Wang, Z. G., Wang, Z. Y., Weber, T., Wei, D. H., Weidenkaff, P., Wen, S. P., Wiedner, U., Wolke, M., L. H., Wu, L. J., Wu, Wu, Z., Xia, L., Xia, X., Xia, Y., Xiao, D., Xiao, Y. J., Xiao, Z. J., Xie, Y. G., Xie, Y. H., Xiong, X. A., Xiu, Q. L., G. F., Xu, J. J., Xu, Xu, L., Q. J., Xu, X. P., Xu, Yan, F., Yan, L., Yan, W. B., Yan, W. C., Yan, Y. H., Yang, H. J., Yang, H. X., Yang, L., Yang, R. X., Yang, S. L., Yang, Y. H., Yang, Y. X., Yang, Y., Yang, Z. Q., Ye, M., M. H., Ye, Yin, J. H., You, Z. Y., B. X., Yu, C. X., Yu, J. S., Yu, Yuan, C. Z., Yuan, Y., Yuncu, A., Zafar, A. A., Zeng, Y., Zhang, B. X., Zhang, B. Y., Zhang, C. C., Zhang, D. H., Zhang, H. H., Zhang, H. Y., Zhang, J., Zhang, J. L., Zhang, J. Q., Zhang, J. W., Zhang, J. Y., Zhang, J. Z., Zhang, K., Zhang, L., Zhang, S. F., Zhang, T. J., Zhang, X. Y., Zhang, Y., Zhang, Y. H., Zhang, Y. T., Zhang, Z. H., Zhang, Z. P., Zhang, Z. Y., Zhao, G., Zhao, J. W., Zhao, J. Y., Zhao, J. Z., Zhao, L., Zhao, M. G., Zhao, Q., Zhao, S. J., Zhao, T. C., Zhao, Y. B., Zhao, Z. G., Zhemchugov, A., Zheng, B., Zheng, J. P., Zheng, W. J., Zheng, Y. H., Zhong, B., Zhou, L., Zhou, Q., Zhou, X., Zhou, X. K., Zhou, X. R., Zhou, X. Y., Zhu, A. N., Zhu, J., Zhu, K., Zhu, K. J., Zhu, S., Zhu, S. H., Zhu, X. L., Zhu, Y. C., Zhu, Y. S., Zhu, Z. A., Zhuang, J., Zou, B. S., and Zou, J. H.

Subjects
decay, charmonium, states, annihilation, octet, charmonium, annihilation, High Energy Physics - Experiment, states, NO, decay, octet
Abstract

By analyzing (448.1±2.9)×106 ψ(3686) events collected with the BESIII detector operating at the BEPCII collider, the decays of χcJ→4KS0 (J=0, 1, 2) are observed for the first time with statistical significances of 26.5σ, 5.9σ and 11.4σ, respectively. The product branching fractions of ψ(3686)→γχcJ, χcJ→4KS0 are presented, and the branching fractions of χcJ→4KS0 decays are determined to be Bχc0→4KS0=(5.76±0.34±0.38)×10−4, Bχc1→4KS0=(0.35±0.09±0.03)×10−4 and Bχc2→4KS0=(1.14±0.15±0.08)×10−4, where the first uncertainties are statistical and the second are systematic, respectively.

Published
2019

49. Observation ofχcJ→4KS0

Author

D. Y. Liu, J. B. Jiao, Z. X. Meng, X. A. Xiong, C. Dong, S. Sosio, J. Y. Liu, H. H. Liu, Wu L. H., A. A. Zafar, Y. H. Xie, J. Pellegrino, F. E. Maas, T. Hu, Y. Yang, J. Zhuang, M. X. Luo, D. V. Dedovich, C. Sowa, Y. B. Zhao, F. Li, Li J. C., W. Shan, K. H. Rashid, A. Calcaterra, Z. G. Zhao, S. Fegan, Xu Q. J., L. Z. Liao, Yu Bai, H. H. Zhang, Joachim Pettersson, Z. J. Sun, S. Maldaner, Q. Gao, Y. N. Gao, Y. Zhang, Huanhuan Liu, Feng Yan, M. Y. Dong, Y. H. Zheng, Cong-Feng Qiao, M. Maggiora, Z. L. Hou, J. Dong, Gu L. M., O. Bakina, C. L. Luo, Y. T. Liang, R. Kliemt, G. Felici, Y. H. Yan, A. Mangoni, X. Xia, Q. Zhou, I. Uman, J. W. Zhao, T. Khan, Tao Luo, C. C. Zhang, B. Zhong, L. B. Guo, A. N. Zhu, Xu G. F., X. S. Kang, Tao Zhang, Yunlong Zhang, Q. A. Malik, G. Mezzadri, W. C. Yan, J. H. Zou, Ye M. H., Xu Shan, S. Nisar, Y. H. Zhang, D. Bettoni, Z. G. Wang, Y. C. Zhu, J. L. Zhang, H. L. Jiang, S. J. Chen, C. J. Tang, Y. Hu, Y. P. Lu, A. Guskov, Qi T. Y., Jianping Zheng, F. De Mori, S. L. Olsen, J. F. Qiu, M. Papenbrock, L. Fava, Z. J. Xiao, P. L. Chen, Li X. Q., S. Zhu, M. Qi, Ji Q. P., J. F. Sun, S. B. Liu, T. J. Min, K. J. Zhu, Shulei Zhang, S. Qian, Q. An, Jialun Ping, F. Feldbauer, He K. L., Y. Nefedov, K. J. Li, X. Y. Zhou, H. Y. Zhang, S. S. Sun, Z. L. Huang, M. N. Achasov, L. P. Zhou, Z. Y. Wang, K. Zhang, Liangbin Li, X. Y. Zhang, G. Cibinetto, K. Y. Liu, H. S. Chen, Alperen Yuncu, P. X. Shen, Z. Wu, C. Z. Yuan, F. Nerling, H. J. Yang, G. F. Chen, J. Y. Zhang, D. Xiao, Z. P. Mao, M. Ablikim, Q. L. Xiu, T. Held, Mario Greco, P. W. Luo, H. L. Dai, S. Marcello, Y. Ding, X. Y. Jiang, B. J. Liu, Ma X. N., M. Destefanis, J. B. Liu, Zhiqing Zhang, R. E. Mitchell, X. H. Liu, Y. J. Sun, E. Boger, P. L. Wang, X. F. Wang, S. Jin, M. Kuessner, Y. Zeng, Zhe Sun, S. Lusso, W. Kühn, Mo Y. J., X. L. Luo, Ji X. B., X. Tang, Z. Y. You, Z. A. Zhu, A. Mustafa, Li X. L., Ke Wang, Fang Liu, J. P. Dai, J. Fang, Tao Li, X. Y. Niu, Fu C. D., J. L. Hu, Y. K. Heng, K. Begzsuren, W. P. Wang, X. T. Huang, G. A. Chelkov, Y. Yuan, Y. S. Zhu, C. P. Shen, U. Wiedner, Ma H. L., F. Bianchi, M. Rolo, I. Denysenko, Xu X. P., M. Richter, S. J. Zhao, G. Rong, R. Poling, Y. B. Chen, Xiaofeng Zhu, J. Z. Zhang, P. F. Duan, F. H. Heinsius, M. Albrecht, Yu J. S., Z. Ning, Rinaldo Baldini Ferroli, Q. Liu, Tristan Weber, Li P. L., J. J. Song, B. L. Wang, Li H. B., J. Chai, X D Shi, G. X. Sun, J. V. Bennett, Li Yan, Li P. R., Ma L. L., L. Gong, B. Y. Zhang, L. Sun, L. G. Xia, Qi H. R., B. T. Tsednee, Gu M. H., J. C. Chen, Xuanhong Lou, M. Tiemens, X. K. Zhou, Ke B. C., A. Amoroso, Q. P. Ji, S. Leiber, Wu L. J., T. C. Zhao, A. Dbeyssi, Gu Y. T., I. R. Boyko, Nasser Kalantar-Nayestanaki, F. Cossio, J. Min, Muhammad Irshad, Magnus Wolke, Z. Jiao, D. H. Zhang, M. Savrie, X. Y. Song, Liqing Xu, X. Y. Shen, C. Morales Morales, Y. J. Mao, H. X. Yang, I. Garzia, Yue Pan, Li J. W., Ma Y. M., H. B. Liu, Y. F. Liang, M. Kornicer, Angelo Rivetti, P. Patteri, Lu J. G., Li Q. Y., Yi Jin, Hu H. M., Y. P. Guo, L. D. Liu, C.-H. Rosner, B. Kopf, Ma X. Y., D. P. Jin, A. Julin, Yu B. X., J. Libby, Qu S. Q., Yu C. X., J. Q. Zhang, T. Johansson, J. F. Chang, Li D. M., L. Koch, A. Khoukaz, Y. F. Wang, Y. J. Xiao, Ma M. M., S. W. Han, O. B. Kolcu, F. A. Harris, W. L. Chang, Du S. X., Yaquan Fang, M. G. Zhao, Y. H. Yang, X. Cai, R. P. Guo, J. Zhu, L. Lavezzi, Shou-hua Zhu, Serkant Ali Cetin, Jun-Yi Zhang, W. B. Yan, M. Fritsch, Q. Ouyang, M. Alekseev, Li W. G., N. Qin, H. Leithoff, Jimin Zhao, M. Kavatsyuk, Z. Q. Yang, Li K. J., W. S. Cheng, S. S. Fang, S. Pacetti, G. Li, Li H. J., Xiaozhong Huang, S. L. Yang, C. F. Redmer, Li X. N., Z. P. Zhang, B. X. Zhang, Krisztian Peters, Y. B. Liu, M. Bertani, Z. Haddadi, L. Yang, M. Z. Wang, B. Garillon, G. R. Liao, C. Q. Feng, X. R. Chen, Andrzej Kupsc, K. Schoenning, J. S. Huang, Z. Y. Deng, Lu Y. P., D. W. Bennett, B. S. Zou, Y. T. Tan, W. Gradl, M. Ripka, Z. Liu, M. L. Chen, Haiping Peng, B. Q. Wang, C. X. Liu, Zujian Wang, D. Y. Wang, J. G. Messchendorp, He X. Q., H. Liang, M. Kuemmel, Matthew Glenn Kurth, Ma Q. M., Li W. D., K. Goetzen, L. Zhao, Dan Wang, A. Q. Guo, Z. Y. Peng, C. W. Wang, Xiao-Rui Lyu, N. Y.-U. Muchnoi, W. M. Song, X. Q. Hao, S. Nakhoul, P. Larin, An F. F., Z. H. Qin, G. Y. Tang, Z. Y. Zhang, A. G. Denig, Jie Zhao, D. X. Lin, R. Farinelli, Y. K. Sun, Alexey Zhemchugov, S. Spataro, F. H. Liu, Nicolas Berger, Li F. Y., Y. G. Xie, J. W. Zhang, H. Muramatsu, M. Pelizaeus, S. Ahmed, Y. X. Yang, H. M. Liu, Li Z. B., Z. L. Dou, Q. Zhao, Y. Z. Sun, I. K. Keshk, C. X. Lin, Alexander Leon Gilman, Gang Zhao, G. F. Cao, Y. X. Xia, Xu J. J., Ji X. L., Y. G. Gao, L. S. Wang, M. H. Ye, L. L. Wang, H. Cai, X. K. Chu, Mo X. H., L. Y. Dong, W. J. Zheng, I. B. Nikolaev, J. H. Yin, Lu H. J., M. Shao, Lingxuan Zhang, A. Sarantsev, D. H. Wei, J. S. Lange, Ma F. C., F. F. Sui, R. Kiuchi, H. Y. Sheng, B. Zheng, R. G. Ping, Z. A. Liu, V. Prasad, Y. Ban, P. Weidenkaff, S. P. Wen, X. S. Qin, X. R. Zhou, P. Kiese, R. A. Briere, G. S. Huang, X. S. Jiang, R. X. Yang, H. H. Wang, A. Pitka, Z. Gao, S. L. Niu, Y. F. Long, W. Ikegami Andersson, T. Hussain, W. X. Gong, C. H. Li, X. H. Sun, and X. L. Gao

Subjects
Physics, Particle physics
Published
2019
Full Text
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50. Observation ofψ(3686)→pp¯η′and improved measurement ofJ/ψ→pp¯η′

Author

A. A. Zafar, K. H. Rashid, Y. T. Liang, S. J. Chen, K. J. Li, F. Li, X. L. Gao, Fang Liu, S. Qian, F. C. Ma, T. Y. Qi, X. T. Huang, X D Shi, G. Rong, Xiaozhong Huang, L. H. Wu, M. Savrie, Yi Jin, U. Wiedner, I. Denysenko, J. W. Li, Q. An, Jialun Ping, Q. A. Malik, K. Zhang, G. F. Xu, X. Y. Zhang, S. J. Zhao, B. J. Liu, Y. J. Xiao, J. B. Liu, G. Mezzadri, W. C. Yan, Y. X. Xia, L. J. Wu, X. K. Zhou, Y. J. Mao, H. X. Yang, J. Min, X. L. Ji, C. Dong, S. Sosio, C. Sowa, Y. B. Zhao, W. Shan, I. Garzia, Tao Luo, H. B. Liu, S. Jin, B. Y. Zhang, X. Q. He, J. Dong, Andrzej Kupsc, Y. J. Sun, Yifan Yang, E. Boger, Y. P. Lu, S. B. Liu, I. Tapan, L. M. Gu, M. N. Achasov, Y. F. Wang, J. F. Qiu, M. Papenbrock, H. J. Lu, J. G. Lu, B. Kopf, L. P. Zhou, Z. Y. Zhang, F. De Mori, Q. J. Xu, B. X. Yu, Y. H. Yan, L. Fava, Y. J. Mo, S. Nisar, Y. M. Ma, Z. P. Mao, J. W. Zhao, Y. Nefedov, M. L. Chen, J. C. Chen, K. L. He, Xuanhong Lou, Joachim Pettersson, S. Leiber, Y. G. Gao, G. Y. Tang, M. Kuessner, S. W. Han, W. S. Cheng, C. J. Tang, Yao Zhang, G. Li, J. Fang, Tao Li, Y. Hu, Nasser Kalantar-Nayestanaki, X. N. Ma, X. Y. Zhou, Y. G. Xie, M. Y. Dong, Jimin Zhao, X. Y. Song, L. D. Liu, F. Nerling, Y. C. Zhu, Shulei Zhang, C. Morales Morales, Yue Pan, Jie Zhao, D. X. Lin, P. L. Li, D. Y. Liu, Alexey Zhemchugov, H. M. Hu, F. Y. Li, C. D. Fu, H. S. Chen, Alperen Yuncu, F. H. Liu, C. Q. Feng, Nicolas Berger, D. Xiao, F. E. Maas, X. R. Chen, T. Hu, Z. G. Wang, H. Y. Zhang, Z. Y. Deng, M. Ripka, J. H. Zou, Ch. Rosner, J. Libby, J. J. Xu, Z. Q. Yang, G. F. Chen, G. A. Chelkov, J. W. Zhang, H. L. Dai, Yang Zhang, Q. P. Ji, X. Tang, I. Uman, Yaquan Fang, M. Greco, Shou-hua Zhu, Z. L. Dou, M. M. Ma, X. F. Wang, X. H. Liu, S. S. Sun, B. Wang, M. Fritsch, I. R. Boyko, M. Kavatsyuk, J. B. Jiao, J. Y. Liu, T. Hussain, X. Y. Ma, W. X. Gong, J. Y. Zhang, X. Q. Hao, L. Koch, A. Khoukaz, M. Rolo, J. Z. Bai, M. Kuemmel, Matthew Glenn Kurth, Q. M. Ma, Xiao-Rui Lyu, A. Mustafa, J. Chai, J. P. Dai, Liqing Xu, G. X. Sun, J. V. Bennett, Li Yan, X. Y. Niu, X. Y. Shen, J. S. Huang, C. X. Liu, C. F. Redmer, M. Bertani, Z. Haddadi, L. Yang, P. Larin, Y. H. Xie, J. Pellegrino, R. Baldini Ferroli, Z. J. Xiao, P. L. Chen, K. Schoenning, Q. Y. Li, B. S. Zou, X. H. Mo, L. S. Wang, M. H. Ye, X. L. Li, Z. Jiao, D. H. Zhang, Y. K. Heng, T. Held, R. E. Mitchell, F. Cossio, Y. Yuan, Y. S. Zhu, X. P. Xu, X. B. Ji, M. Tiemens, Yu Zhang, Krisztian Peters, M. H. Gu, R. Kiuchi, Y. Ding, M. Maggiora, Ling Zhao, O. Bakina, K. J. Zhu, Y. T. Tan, M. Z. Wang, P. Patteri, W. Gradl, Jun-Yi Zhang, Bibo Ke, Q. Liu, Tristan Weber, W. B. Yan, H. Liang, P. X. Shen, Z. Wu, Lei Zhao, Z. L. Hou, R. Kliemt, P. L. Wang, X. N. Li, Haiping Peng, B. X. Zhang, D. Y. Wang, L. L. Ma, A. Mangoni, T. Khan, Magnus Wolke, Y. F. Liang, D. W. Bennett, Zujian Wang, D. P. Jin, L. Gong, A. Guskov, L. L. Wang, H. Cai, S. Pacetti, Jie Yu, H. Y. Sheng, L. G. Xia, A. Amoroso, Meng Wang, G. S. Huang, Muhammad Irshad, M. Qi, H. J. Yang, Yunlong Zhang, H. L. Liu, D. Bettoni, C. H. Li, Ke Wang, X. H. Sun, Zhiqing Zhang, K. Goetzen, M. G. Zhao, Y. H. Yang, T. J. Min, Ke Li, Dayong Wang, N. Qin, A. Dbeyssi, R. P. Guo, J. Zhu, Q. Gao, F. Feldbauer, H. R. Qi, C. Z. Yuan, G. Cibinetto, J. L. Zhang, Jianping Zheng, R. Poling, P. F. Duan, F. H. Heinsius, M. Kornicer, C. X. Yu, Y. N. Gao, Y. H. Zheng, Angelo Rivetti, I. B. Nikolaev, Ke Liu, P. Kiese, W. Kühn, A. Julin, Dan Wang, Y. Zhang, F. A. Harris, J. F. Sun, Z. L. Huang, Y. P. Guo, J. H. Yin, S. Zhu, Feng Liu, Fenfen An, B. L. Wang, Z. Y. You, Z. A. Zhu, T. C. Zhao, Cong-Feng Qiao, M. Ablikim, X. Y. Jiang, N. Yu. Muchnoi, S. X. Du, K. Y. Liu, Serkant Ali Cetin, Feng Yan, Z. P. Zhang, H. Leithoff, X. S. Kang, Y. H. Zhang, M. Shao, Y. T. Gu, M. Destefanis, R. A. Briere, B. Zheng, R. G. Ping, S. Marcello, Y. Zeng, S. L. Olsen, Zhe Sun, Z. Y. Wang, S. Lusso, J. Q. Zhang, Z. A. Liu, V. Prasad, E. Fioravanti, Y. Ban, P. Weidenkaff, X. S. Jiang, S. Ahmed, Y. X. Yang, Y. B. Chen, Xiaofeng Zhu, J. Z. Zhang, J. J. Song, S. P. Wen, Kang Li, X. S. Qin, X. R. Zhou, C. P. Shen, L. Sun, Cheng Li, A. Sarantsev, D. H. Wei, P. R. Li, J. S. Lange, M. Albrecht, Q. Zhao, W. D. Li, Y. Z. Sun, X. K. Chu, B. T. Tsednee, B. Garillon, Huihui Liu, I. K. Keshk, R. X. Yang, A. Pitka, G. R. Liao, C. X. Lin, J. G. Messchendorp, Alexander Leon Gilman, Gang Zhao, O. Cakir, Qiunan Xu, W. G. Li, A. G. Denig, Lingxuan Zhang, L. Y. Dong, J. C. Li, Y. K. Sun, Xiaoyu Zhou, Z. Gao, S. Spataro, S. L. Niu, J. Zhuang, X. Q. Li, Y. F. Long, H. M. Liu, J. F. Hu, R. Farinelli, W. J. Zheng, G. F. Cao, A. Q. Guo, Z. Y. Peng, C. W. Wang, H. L. Ma, M. X. Luo, W. M. Song, D. M. Li, H. Muramatsu, D. V. Dedovich, Xu Zhou, Z. H. Qin, M. Pelizaeus, S. Q. Qu, Z. B. Li, W. Ikegami Andersson, Zhiqing Liu, T. Johansson, J. F. Chang, O. B. Kolcu, X. Cai, L. Lavezzi, Zongyuan Wang, H. B. Li, C. L. Luo, X. Xia, Q. Zhou, M. Richter, Z. Ning, C. C. Zhang, B. Zhong, L. B. Guo, Lei Li, M.G. Alekseev, A. N. Zhu, Q. Ouyang, Tao Zhang, S. S. Fang, T. Ma, Xu Shan, Y. B. Liu, Huanhuan Liu, A. Calcaterra, Z. G. Zhao, S. Fegan, G. Felici, L. Z. Liao, Yu Bai, H. H. Zhang, Z. J. Sun, S. Maldaner, H. J. Li, Q. L. Xiu, X. L. Luo, K. Begzsuren, W. P. Wang, F. Bianchi, Z. X. Meng, and X. A. Xiong

Subjects
Physics, Particle physics
Published
2019
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