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837 results on '"Yang X. Y."'

1. Research on proton beam spot imaging based on pixelated gamma detector

Author

Sun, Y. K., Jing, H. T., Tian, B. B., Gao, X. L., and Yang, X. Y.

Subjects
Physics - Instrumentation and Detectors
Abstract

The primary secondary particles from the spallation target of the China Spallation Neutron Source are mainly gammas and neutrons, which are related to the distribution of the incident proton. The reconstruction of proton beam spot could be implemented based on the distribution of secondary particles. The methods of pinhole imaging and Compton imaging are developed by measuring the gamma distribution based on the pixelated detector. The secondary gammas could be detected by the pixelated gamma detector directly. The neutron can be identified by detecting the characteristic (478 keV) $\gamma$-rays from the $^{10}B$(n, $\alpha$) reactions. In order to detect secondary neutrons, a layer of $^{10}B$ converter is added before the pixelated gamma detector. The pixelated gamma detector is sensitive to the characteristic (478 keV) $\gamma$-rays and then the neutron imaging could be achieved based on measuring the distribution of the characteristic gamma.

Published
2021
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2. Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector

Author

Bay, Daya, collaborations, JUNO, Abusleme, A., Adam, T., Ahmad, S., Aiello, S., Akram, M., Ali, N., An, F. P., An, G. P., An, Q., Andronico, G., Anfimov, N., Antonelli, V., Antoshkina, T., Asavapibhop, B., de André, J. P. A. M., Babic, A., Balantekin, A. B., Baldini, W., Baldoncini, M., Band, H. R., Barresi, A., Baussan, E., Bellato, M., Bernieri, E., Biare, D., Birkenfeld, T., Bishai, M., Blin, S., Blum, D., Blyth, S., Bordereau, C., Brigatti, A., Brugnera, R., Budano, A., Burgbacher, P., Buscemi, M., Bussino, S., Busto, J., Butorov, I., Cabrera, A., Cai, H., Cai, X., Cai, Y. K., Cai, Z. Y., Cammi, A., Campeny, A., Cao, C. Y., Cao, G. F., Cao, J., Caruso, R., Cerna, C., Chakaberia, I., Chang, J. F., Chang, Y., Chen, H. S., Chen, P. A., Chen, P. P., Chen, S. M., Chen, S. J., Chen, X. R., Chen, Y. W., Chen, Y. X., Chen, Y., Chen, Z., Cheng, J., Cheng, Y. P., Cheng, Z. K., Chepurnov, A., Cherwinka, J. J., Chiarello, F., Chiesa, D., Chimenti, P., Chu, M. C., Chukanov, A., Chuvashova, A., Clementi, ., Clerbaux, B., Di Lorenzo, S. Conforti, Corti, D., Costa, S., Corso, F. D., Cummings, J. P., Dalager, O., De La Taille, C., Deng, F. S., Deng, J. W., Deng, Z., Deng, Z. Y., Depnering, W., Diaz, M., Ding, X. F., Ding, Y. Y., Dirgantara, B., Dmitrievsky, S., Diwan, M. V., Dohnal, T., Donchenko, G., Dong, J. M., Dornic, D., Doroshkevich, E., Dove, J., Dracos, M., Druillole, F., Du, S. X., Dusini, S., Dvorak, M., Dwyer, D. A., Enqvist, T., Enzmann, H., Fabbri, A., Fajt, L., Fan, D. H., Fan, L., Fang, C., Fang, J., Fatkina, A., Fedoseev, D., Fekete, V., Feng, L. C., Feng, Q. C., Fiorentini, G., Ford, R., Formozov, A., Fournier, A., Franke, S., Gallo, J. P., Gan, H. N., Gao, F., Garfagnini, A., Göttel, A., Genster, C., Giammarchi, M., Giaz, A., Giudice, N., Giuliani, F., Gonchar, M., Gong, G. H., Gong, H., Gorchakov, O., Gornushkin, Y., Grassi, M., Grewing, C., Gromov, M., Gromov, V., Gu, M. H., Gu, W. Q., Gu, X. F., Gu, Y., Guan, M. Y., Guardone, N., Gul, M., Guo, C., Guo, J. Y., Guo, L., Guo, W. L., Guo, X. H., Guo, Y. H., Guo, Z., Haacke, M., Hackenburg, R. W., Hackspacher, P., Hagner, C., Han, R., Han, Y., Hans, S., He, M., He, W., Heeger, K. M., Heinz, T., Heng, Y. K., Herrera, R., Higuera, A., Hong, D. J., Hor, Y. K., Hou, S. J., Hsiung, Y. B., Hu, B. Z., Hu, H., Hu, J. R., Hu, J., Hu, S. Y., Hu, T., Hu, Z. J., Huang, C. H., Huang, G. H., Huang, H. X., Huang, Q. H., Huang, W. H., Huang, X. T., Huang, Y. B., Huber, P., Hui, J. Q., Huo, L., Huo, W. J., Huss, C., Hussain, S., Insolia, A., Ioannisian, A., Ioannisyan, D., Isocrate, R., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Ji, X. Z., Jia, H. H., Jia, J. J., Jian, S. Y., Jiang, D., Jiang, X. S., Jin, R. Y., Jing, X. P., Johnson, R. A., Jollet, C., Jones, D., Joutsenvaara, J., Jungthawan, S., Kalousis, L., Kampmann, P., Kang, L., Karagounis, M., Kazarian, N., Kettell, S. H., Khan, A., Khan, W., Khosonthongkee, K., Kinz, P., Kohn, S., Korablev, D., Kouzakov, K., Kramer, M., Krasnoperov, A., Krokhaleva, S., Krumshteyn, Z., Kruth, A., Kutovskiy, N., Kuusiniemi, P., Lachacinski, B., Lachenmaier, T., Langford, T. J., Lee, J., Lee, J. H. C., Lefevre, F., Lei, L., Lei, R., Leitner, R., Leung, J., Li, C., Li, D. M., Li, F., Li, H. T., Li, H. L., Li, J., Li, J. J., Li, J. Q., Li, K. J., Li, M. Z., Li, N., Li, Q. J., Li, R. H., Li, S. C., Li, S. F., Li, S. J., Li, T., Li, W. D., Li, W. G., Li, X. M., Li, X. N., Li, X. L., Li, X. Q., Li, Y., Li, Y. F., Li, Z. B., Li, Z. Y., Liang, H., Liang, J. J., Liebau, D., Limphirat, A., Limpijumnong, S., Lin, C. J., Lin, G. L., Lin, S. X., Lin, T., Lin, Y. H., Ling, J. J., Link, J. M., Lippi, I., Littenberg, L., Littlejohn, B. R., Liu, F., Liu, H., Liu, H. B., Liu, H. D., Liu, H. J., Liu, H. T., Liu, J. C., Liu, J. L., Liu, M., Liu, Q., Liu, R. X., Liu, S. Y., Liu, S. B., Liu, S. L., Liu, X. W., Liu, Y., Lokhov, A., Lombardi, P., Loo, K., Lorenz, S., Lu, C., Lu, H. Q., Lu, J. B., Lu, J. G., Lu, S. X., Lu, X. X., Lubsandorzhiev, B., Lubsandorzhiev, S., Ludhova, L., Luk, K. B., Luo, F. J., Luo, G., Luo, P. W., Luo, S., Luo, W. M., Lyashuk, V., Ma, Q. M., Ma, S., Ma, X. B., Ma, X. Y., Ma, Y. Q., Malyshkin, Y., Mantovani, F., Mao, Y. J., Mari, S. M., Marini, F., Marium, S., Marshall, C., Martellini, C., Martin-Chassard, G., Caicedo, D. A. Martinez, Martini, A., Martino, J., Mayilyan, D., McDonald, K. T., McKeown, R. D., Müller, A., Meng, G., Meng, Y., Meregaglia, A., Meroni, E., Meyhöfer, D., Mezzetto, M., Miller, J., Miramonti, L., Monforte, S., Montini, P., Montuschi, M., Morozov, N., Muralidharan, P., Napolitano, J., Nastasi, M., Naumov, D. V., Naumova, E., Nemchenok, I., Nikolaev, A., Ning, F. P., Ning, Z., Nunokawa, H., Oberauer, L., Ochoa-Ricoux, J. P., Olshevskiy, A., Ortica, F., Pan, H. R., Paoloni, A., Park, J., Parkalian, N., Parmeggiano, S., Patton, S., Payupol, T., Pec, V., Pedretti, D., Pei, Y. T., Pelliccia, N., Peng, A. G., Peng, H. P., Peng, J. C., Perrot, F., Petitjean, P. A., Rico, L. F. Pineres, Popov, A., Poussot, P., Pratumwan, W., Previtali, E., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, S., Qian, X., Qian, X. H., Qiao, H., Qin, Z. H., Qiu, S. K., Rajput, M., Ranucci, G., Raper, N., Re, A., Rebber, H., Rebii, A., Ren, B., Ren, J., Reveco, C. M., Rezinko, T., Ricci, B., Robens, M., Roche, M., Rodphai, N., Rohwer, L., Romani, A., Rosero, R., Roskovec, B., Roth, C., Ruan, X. C., Ruan, X. D., Rujirawat, S., Rybnikov, A., Sadovsky, A., Saggese, P., Salamanna, G., 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., Shahzad, M., Shi, G., Shi, J. Y., Shi, Y. 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., Steiner, H., Steinmann, J., Stender, M., Strati, V., Studenikin, A., Sun, G. X., Sun, L. T., Sun, J. L., Sun, S. F., Sun, X. L., Sun, Y. J., Sun, Y. Z., Suwonjandee, N., Szelezniak, M., Tang, J., Tang, Q., Tang, X., Tietzsch, A., Tkachev, I., Tmej, T., Treskov, K., Troni, G., Trzaska, W., Tse, W. -H., Tull, C. E., Tuve, C., van Waasen, S., Boom, J. Vanden, Vassilopoulos, N., Vedin, V., Verde, G., Vialkov, M., Viaud, B., Viren, B., Volpe, C., Vorobel, V., Votano, L., Walker, P., Wang, C., Wang, C. H., Wang, E., Wang, G. L., Wang, J., Wang, K. Y., Wang, L., Wang, M. F., Wang, M., Wang, N. Y., Wang, R. G., Wang, S. G., Wang, W., Wang, W. S., Wang, X., Wang, X. Y., Wang, Y., Wang, Y. F., Wang, Y. G., Wang, Y. M., Wang, Y. Q., Wang, Z., Wang, Z. M., Wang, Z. Y., Watcharangkool, A., Wei, H. Y., Wei, L. H., Wei, W., Wei, Y. D., Wen, L. J., Whisnant, K., White, C. G., Wiebusch, C., Wong, S. C. F., Wong, H. L. H., Wonsak, B., Worcester, E., Wu, C. H., Wu, D. R., Wu, F. L., Wu, Q., Wu, W. J., Wu, Z., Wurm, M., Wurtz, J., Wysotzki, C., Xi, Y. F., Xia, D. M., Xie, Y. G., Xie, Z. Q., Xing, Z. Z., Xu, D. L., Xu, F. R., Xu, H. K., Xu, J. L., Xu, J., Xu, M. H., Xu, T., Xu, Y., Xue, T., Yan, B. J., Yan, X. B., Yan, Y. P., Yang, A. B., Yang, C. G., Yang, H., Yang, J., Yang, L., Yang, X. Y., Yang, Y. F., Yang, Y. Z., Yao, H. F., Yasin, Z., Ye, J. X., Ye, M., Yegin, U., Yeh, M., Yermia, F., Yi, P. H., You, Z. Y., Young, B. L., Yu, B. X., Yu, C. X., Yu, C. Y., Yu, H. Z., Yu, M., Yu, X. H., Yu, Z. Y., Yuan, C. Z., Yuan, Y., Yuan, Z. X., Yuan, Z. Y., Yue, B. B., Zafar, N., Zambanini, A., Zeng, P., Zeng, S., Zeng, T. X., Zeng, Y. D., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, G. Q., Zhang, H. H., Zhang, H. Q., Zhang, J., Zhang, J. B., Zhang, J. W., Zhang, P., Zhang, Q. M., Zhang, T., Zhang, X. M., Zhang, X. T., Zhang, Y., Zhang, Y. H., Zhang, Y. M., Zhang, Y. P., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, F. Y., Zhao, J., Zhao, R., Zhao, S. J., Zhao, T. C., Zheng, D. Q., Zheng, H., Zheng, M. S., Zheng, Y. H., Zhong, W. R., Zhou, J., Zhou, L., Zhou, N., Zhou, S., Zhou, X., Zhu, J., Zhu, K. J., Zhuang, H. L., Zong, L., and Zou, J. H.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

To maximize the light yield of the liquid scintillator (LS) for the Jiangmen Underground Neutrino Observatory (JUNO), a 20 t LS sample was produced in a pilot plant at Daya Bay. The optical properties of the new LS in various compositions were studied by replacing the gadolinium-loaded LS in one antineutrino detector. The concentrations of the fluor, PPO, and the wavelength shifter, bis-MSB, were increased in 12 steps from 0.5 g/L and <0.01 mg/L to 4 g/L and 13 mg/L, respectively. The numbers of total detected photoelectrons suggest that, with the optically purified solvent, the bis-MSB concentration does not need to be more than 4 mg/L. To bridge the one order of magnitude in the detector size difference between Daya Bay and JUNO, the Daya Bay data were used to tune the parameters of a newly developed optical model. Then, the model and tuned parameters were used in the JUNO simulation. This enabled to determine the optimal composition for the JUNO LS: purified solvent LAB with 2.5 g/L PPO, and 1 to 4 mg/L bis-MSB., Comment: 13 pages, 8 figures

Published
2020

4. Parametric Excitation and Squeezing in a Many-Body Spin System

Author

Hoang, T. M., Anquez, M., Robbins, B. A., Yang, X. Y., Land, B. J., Hamley, C. D., and Chapman, M. S.

Subjects
Condensed Matter - Quantum Gases
Abstract

We demonstrate a new method to coherently excite and control the quantum spin states of an atomic Bose gas using parametric excitation of the collective spin by time varying the relative strength of the Zeeman and spin-dependent collisional interaction energies at multiples of the natural frequency of the system. Compared to the usual single-particle quantum control techniques used to excite atomic spins (e.g. Rabi oscillations using rf or microwave fields), the method demonstrated here is intrinsically many-body, requiring inter-particle interactions. While parametric excitation of a classical system is ineffective from the ground state, we show that in our quantum system, parametric excitation from the quantum ground state leads to the generation of quantum squeezed states.

Published
2015
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5. Superconducting nanowire single-photon detectors at a wavelength of 940 nm

Author

Zhang, W. J., Li, H., You, L. X., He, Y. H., Zhang, L., Liu, X. Y., Yang, X. Y., Wu, J. J., Guo, Q., Chen, S. J., Wang, Z., and Xie, X. M.

Subjects
Condensed Matter - Superconductivity, Physics - Optics, Quantum Physics
Abstract

We develop single-photon detectors comprising single-mode fiber-coupled superconducting nanowires, with high system detection efficiencies at a wavelength of 940 nm. The detector comprises a 6.5-nm-thick, 110-nm-wide NbN nanowire meander fabricated onto a Si substrate with a distributed Bragg reflector for enhancing the optical absorptance. We demonstrate that, via the design of a low filling factor (1/3) and active area ({\Phi} = 10 {\mu}m), the system reaches a detection efficiency of ~60% with a dark count rate of 10 Hz, a recovery time <12 ns, and a timing jitter of ~50 ps., Comment: 12 pages, 3 figures

Published
2015

6. Steady-state triad resonance between a surface gravity wave and two hydroacoustic waves based on the homotopy analysis method.

Author

Yang, X. Y. and Yang, J.

Subjects
*GRAVITY waves, *NONLINEAR boundary value problems, *P-waves (Seismology), *THEORY of wave motion, *LINEAR operators
Abstract

Under water compressibility, resonant triads can occur within the family of acoustic-gravity waves. This work investigates steady-state triad resonance between a surface gravity wave and two hydroacoustic waves. The water-wave equations are solved as a nonlinear boundary value problem using the homotopy analysis method (HAM). Within the HAM framework, a potential singularity resulting from exact triad resonance is avoided by appropriately choosing the auxiliary linear operator. The resonant hydroacoustic wave component, along with the two primary waves (one hydroacoustic wave and one gravity wave), is considered to determine an initial guess for the velocity potential. Additionally, by selecting an optimal "convergence-control parameter," the steady-state resonance between a surface gravity wave and two hydroacoustic waves is successfully obtained. It is found that steady-state resonant acoustic-gravity waves are ubiquitous under certain circumstances. The two primary wave components and the resonant hydroacoustic wave component take up most of the energy in the steady-state resonant acoustic-gravity wave system. The amplitude of the resonant hydroacoustic wave component is mainly determined by the primary hydroacoustic wave component, and the amplitudes of both hydroacoustic waves are approximately equal in all cases considered. In addition, when the overall amplitude of the wave system increases, both dimensionless angular frequencies decrease, indicating that the nonlinearity of the entire wave system becomes stronger with an increase in the wave system amplitude. The amplitude of the primary hydroacoustic wave has a relatively large effect on the system's nonlinearity. This work will enrich and deepen our understanding of acoustic-gravity waves. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Thin-film-like high temperature superconducting $\mathrm{Bi_2Sr_2CaCu_2O_{8+}}{_x}$ single crystal by mechanical exfoliation

Author

Wang, X, You, L X, Xie, X M, Yang, X Y, Lin, C T, and Jiang, M H

Subjects
Condensed Matter - Superconductivity
Abstract

Thin-film-like high temperature superconducting Bi2Sr2CaCu2O8+x single crystals (TSB) with a typical thickness of 20-200 nm is produced by mechanical exfoliation. The TSB, which shows excellent superconductivity, can adhere firmly to the substrate by van der Waals force. The TSB may find important applications in fabricating high temperature superconducting devices. Intrinsic Josephson junctions made of the TSB are demonstrated. A very interesting finding is that the TSB can follow exactly the topology of the substrate, making it possible to fabricate superconducting devices with artificial structures by using substrate template, for instance, step-edge Josephson junctions., Comment: 8 pages, 4 figures

Published
2010

9. A Mendelian randomization study of the effect of selenium on autoimmune thyroid disease.

Author

HU, C., YU, Y.-F., TONG, K.-K., HU, G., WU, J.-Y., YANG, X.-Y., BAI, S.-Y., YU, R., and LI, Y.-Y.

Abstract

OBJECTIVE: The impact of selenium on autoimmune thyroid disease (AITD) is a subject of ongoing debate. This study aimed to analyze the causal correlations of selenium with autoimmune thyroiditis (AIT), autoimmune hyperthyroidism (AIH), and Graves' disease (GD) by Mendelian randomization (MR). MATERIALS AND METHODS: Single nucleotide polymorphisms related to selenium, AIT, AIH, and GD were sourced from the IEU Open GWAS project and FinnGen. Exposure-outcome causality was assessed using inverse variance weighted, MR-Egger, and weighted median. Horizontal pleiotropy was examined using the MR-Egger intercept, heterogeneity was evaluated with Cochran's Q test, and the robustness of the results was confirmed via leave-one-out sensitivity analysis. RESULTS: The MR analysis revealed that selenium did not exhibit a causal relationship with AIT (OR 0.993, 95% CI 0.786 to 1.108, p=0.432), AIH (OR 1.066, 95% CI 0.976 to 1.164, p=0.154), or GD (OR 1.052, 95% CI 0.984 to 1.126, p=0.138). Moreover, the MR-Egger intercept and Cochran's Q test demonstrated the absence of horizontal pleiotropy or heterogeneity in these results (p>0.05). Sensitivity analysis affirmed the robustness of these results. CONCLUSIONS: This MR analysis concluded that selenium was not linked to AIT, AIH, or GD risk. Therefore, indiscriminate selenium supplementation is not advisable for AITD patients without concurrent selenium deficiency. [ABSTRACT FROM AUTHOR]

Published
2024

10. Is polyethylene glycol loxenatide 100 μg the preferred glucagon-like peptide-1 receptor agonist for type 2 diabetes mellitus? A meta-analysis and trial sequential analysis.

Author

LIU, P., YU, Y. F., JIANG, P. F., YANG, X. Y., TONG, K. K., HU, G., YIN, S., and YU, R.

Abstract

OBJECTIVE: This study aimed to systematically evaluate the efficacy, safety and optimal dose of polyethylene glycol loxenatide (PEX168) for treating type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Clinical trials of PEX168 for T2DM were identified in 8 databases, with a build time limit of January 2023. Included studies were subjected to meta-analysis and trial sequential analysis (TSA). RESULTS: On the efficacy endpoint, the meta-analysis showed that PEX168 100 μg significantly reduced 0.86% glycated hemoglobin type A1c (HbA1c) (MD -0.86, 95% CI -1.02 - -0.70, p<0.00001), 1.11 mmol/L fasting plasma glucose (FPG) (MD -1.11, 95% CI -1.49 - -0.74, p<0.00001) and 1.91 mmol/L 2h postprandial glucose (PPG) (MD -1.91, 95% CI -3.35 - -0.46, p=0.01) compared with placebo. The TSA showed that all these benefits were conclusive. On safety endpoints, total adverse events (AEs), gastrointestinal (GI) AEs, serious AEs, and hypoglycemia were comparable to placebo for PEX168 100 μg (p>0.05). In the dose comparison, the HbA1c, FPG, and 2h PPG of PEX168 200 μg were comparable to 100 μg (p>0.05), while GI AEs were significantly higher than 100 μg (RR=2.84, 95% CI 1.64-4.93, p=0.0002). CONCLUSIONS: PEX168 100 μg can significantly lower blood glucose and does not increase the risk of total AEs, GI AEs, and hypoglycemia, which may be a preferred glucagon-like peptide-1 receptor agonist for type 2 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Published
2024

18. bioNMF: a web-based tool for nonnegative matrix factorization in biology

Author

Mejia Roa, E., Carmona Saez, P., Nogales, R., Vicente, C., Vázquez, M., Yang, X. Y., García, C., Tirado Fernández, Francisco, Pascual Montano, Alberto, Mejia Roa, E., Carmona Saez, P., Nogales, R., Vicente, C., Vázquez, M., Yang, X. Y., García, C., Tirado Fernández, Francisco, and Pascual Montano, Alberto

Abstract

© 2008 The Author(s). This work has been partially funded by the Spanish grants BIO2007-67150-C03-02, S-Gen-0166/2006, CYTED-505 PI0058, CSD00C-07-20811 and TIN2005-5619. E.M.R. is supported by the grant FPU from the Spanish Ministry of Education. A.P.M. acknowledges the support of the Spanish Ramón y Cajal program. Funding to pay the Open Access publication charges for this article was provided by Spanish Grant. BIO2007-67150-C03-02., Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics., FPU from the Spanish Ministry of Education, Spanish Ramón y Cajal, Sección Deptal. de Arquitectura de Computadores y Automática (Físicas), Fac. de Ciencias Físicas, TRUE, pub

Published
2023

20. Bibliometric analysis of intestinal microbiota in diabetic nephropathy.

Author

GAO, L.-W., YANG, X.-Y., YU, Y.-F., YIN, S., TONG, K.-K., HU, G., JIAN, W.-X., and TIAN, Z.

Abstract

OBJECTIVE: The purpose of this study is to use bibliometrics to explore the research overview and research hotspots. MATERIALS AND METHODS: The relevant literature on intestinal flora and diabetic nephropathy in the Web of Science Core Collection was sorted out, and VOSviewer, CiteSpace, Scimago Graphica and other software were used to conduct data visualization analysis on the number of publications, countries, institutions, journals, authors, keywords and citations. RESULTS: A total of 124 relevant literatures were included. From 2015 to 2022, the number of published papers increased every year. The countries, institutions and journals that published the most articles in this field are China, Isfahan University Medical Science and Frontiers in Pharmacology. Liu Bicheng and Mirlohi Maryam are the authors with the most published articles in this field. The main keywords of research in this field are obesity, inflammation, oxidative stress, indoxyl sulfate, short-chain fatty acids (SCFAs) and Chinese herbal medicine. CONCLUSIONS: This is the first bibliometric analysis of diabetic nephropathy and gut microbiota, reporting hot spots and emerging trends. Obesity, inflammation, oxidative stress, indoxyl sulfate, SCFAs and Chinese herbal medicine are the main keywords of current research, and SCFAs and Chinese herbal medicine may be the hotspots of future research. [ABSTRACT FROM AUTHOR]

Published
2023

22. Cardiovascular disease in rheumatoid arthritis: medications and risk factors in China

Author

Li, Chun, Wang, X. R., Ji, H. J., Zhang, X. Y., Li, X. F., Wang, L. Z., Wang, C. H., Wang, Y. F., Yang, Rong, Wang, G. C., Lu, Xin, Zhu, Ping, Chen, L. N., Jin, H. T., Liu, J. T., Liu, X. Y., Sun, Lin, Chen, H. Y., Wei, Ping, Wang, J. X., Cui, L. F., Shu, Rong, Liu, B. L., Zhang, Z. L., Li, G. T., Li, Z. B., Yang, Jing, Li, J. F., Jia, Bin, Zhang, F. X., Tao, J. M., Han, S. L., Lin, J. Y., Wei, M. Q., Liu, X. M., Ke, Dan, Hu, S. X., Ye, Cong, Yang, X. Y., Li, Hao, Huang, C. B., Gao, Ming, Lai, Bei, Li, X. F., Song, L. J., Wang, Yi, Wang, X. Y., Tang, Y. D., Su, Yin, Mu, Rong, and Li, Z. G.

Published
2017
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23. High Energy Physics Opportunities Using Reactor Antineutrinos

Author

Awe, C., Barbeau, P. S., Haghighat, A., Huber, P., Li, S. C., Link, J. M., Mascolino, V., Subedi, T., Walkup, K., Aguilar-Arevalo, A., Bertou, X., Bonifazi, C., Cancelo, G., Cervantes-Vergara, B. A., Chavez, C., D Olivo, J. C., Egea, J. M., Dos Anjos, J. C., Estrada, J., Neto, A. R. F., Fernandez-Moroni, G., Foguel, A., Ford, R., Gasanego, J., Gollo, V., Izraelevitch, F., Kilminster, B., Lima, Jr H. P., Makler, M., Mendes, L. H., Molina, J., Mota, P., Nasteva, I., Paolini, E., Romero, C., Sarkis, Y., Haro, M. S., Soto, A., Stalder, D., Tiffenberg, J., Torres, C., Lindner, M., An, F. P., Balantekin, A. B., Band, H. R., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, S. M., Chen, Y., Chen, Y. X., Cheng, J., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dove, J., Dvořák, M., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Higuera, A., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, X. T., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, S., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Lu, C., Lu, H. Q., Lu, J. S., Luk, K. B., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., Martinez Caicedo, D. A., Mcdonald, K. T., Mckeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Ochoa-Ricoux, J. P., Olshevskiy, A., Pan, H. -R, Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Steiner, H., Sun, J. L., Tmej, T., Treskov, K., Tse, W. -H, Tull, C. E., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, F. L., Wu, Q., Wenjie Wu, Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. W., Zhang, Q. M., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhou, L., Zhuang, H. L., Zou, J. H., Abusleme, A., Adam, T., Ahmad, S., Ahmed, R., Aiello, S., An, G. P., An, Q., Andronico, G., Anfimov, N., Antonelli, V., Antoshkina, T., Asavapibhop, B., André, 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., Bolshakova, A., Bongrand, M., Bordereau, C., Breton, D., Brigatti, A., Brugnera, R., Bruno, R., Budano, A., Buesken, M., Buscemi, M., Busto, Jose, Butorov, I., Cabrera, A., Cai, H., Cai, X., Cai, Y. K., Cai, Z. Y., Cammi, A., Campeny, A., Cao, C. Y., Caruso, R., Cerna, C., Chakaberia, I., Chen, P. P., Chen, P. A., Chen, S., Chen, X., Chen, Y. W., Chen, Z., Cheng, Y., Chiesa, D., Chimenti, P., Chukanov, A., Chuvashova, A., Claverie, G., Clementi, C., Clerbaux, B., Di Lorenzo, S., Corti, D., Costa, S., Corso, F. D., La Taille, C., Deng, J., Deng, Z., Deng, Z. Y., Depnering, W., Diaz, M., Ding, X. F., Dirgantara, B., Dmitrievsky, S., Donchenko, G., Dong, J. M., Dornic, D., Doroshkevich, E., Dracos, M., Druillole, F., Du, S. X., Dusini, S., Dvorak, M., Enqvist, T., Enzmann, H., Fabbri, A., Fajt, L., Fan, D. H., Fan, L., Fang, C., Fang, J., Fang, W. X., Fargetta, M., Fatkina, A., Fedoseev, D., Fekete, V., Feng, L. C., Feng, Q. C., Formozov, A., Fournier, A., Gan, H. N., Gao, F., Garfagnini, A., Göttel, A., Genster, C., Giammarchi, M., Giaz, A., Giudice, N., Gong, G., Gorchakov, O., Gornushkin, Y., Grassi, M., Grewing, C., Gromov, V., Gu, M., Gu, X., Gu, Y., Guan, M. Y., Guardone, N., Gul, M., Guo, C., Guo, W. L., Hackspacher, P., Hagner, C., Han, R., Han, Y., Hassan, M., He, W., Heinz, T., Hellmuth, P., Herrera, R., Hong, D. J., Hou, S. J., Hsiung, Y., Hu, H., Hu, J., Hu, S. Y., Huang, C. H., Huang, G. H., Huang, Q. H., Huang, W. H., Huang, X., Huang, Y. B., Hui, J. Q., Huo, L., Huo, W., Huss, C., Hussain, S., Insolia, A., Ioannisian, A., Isocrate, R., Ji, X. Z., Jia, H. H., Jia, J. J., Jian, S. Y., Jiang, D., Jiang, X. S., Jin, R. Y., Jing, X. P., Jollet, C., Joutsenvaara, J., Jungthawan, S., Kalousis, L., Kampmann, P., Karagounis, M., Kazarian, N., Khan, A., Khan, W., Khosonthongkee, K., Kinz, P., Korablev, D., Kouzakov, K., Krasnoperov, A., Krumshteyn, Z., Kruth, A., Kutovskiy, N., Kuusiniemi, P., Lachenmaier, T., Landini, C., Leblanc, S., Lebrin, V., Lefevre, F., Lei, R., Leung, J., Li, C., Li, D., Li, H., Li, J., Li, K. J., Li, M. Z., Li, M., Li, N., Li, R. H., Li, S. F., Li, S. J., Li, T., Li, W. G., Li, X. M., Li, X. L., Li, Y., Li, Z., Li, Z. Y., Liang, J. J., Liebau, D., Limphirat, A., Limpijumnong, S., Lin, S. X., Lin, T., Lippi, I., Liu, F., Liu, H. D., Liu, H. B., Liu, H. J., Liu, H. T., Liu, H., Liu, M., Liu, Q., Liu, R. X., Liu, S. Y., Liu, S. B., Liu, S. L., Liu, X. W., Liu, X., Liu, Y., Lokhov, A., Lombardi, P., Lombardo, C., Loo, K., Lu, J. B., Lu, J. G., Lu, S. X., Lu, X. X., Lubsandorzhiev, B., Lubsandorzhiev, S., Ludhova, L., Luo, F. J., Luo, G., Luo, P. W., Luo, S., Luo, W. M., Lyashuk, V., Ma, Q. M., Ma, S., Maalmi, J., Malyshkin, Y., Mantovani, F., Manzali, F., Mao, X., Mao, Y. J., Mari, S. M., Marini, F., Marium, S., Martellini, C., Martin-Chassard, G., Martini, A., Mayilyan, D., Müller, A., Mednieks, I., Meregaglia, A., Meroni, E., Meyhöfer, D., Mezzetto, M., Miller, J., Miramonti, L., Monforte, S., Montini, P., Montuschi, M., Morozov, N., Muhammad, A., Muralidharan, P., Nastasi, M., Naumov, D. V., Nemchenok, I., Ning, F. P., Ning, Z., Nunokawa, H., Oberauer, L., Orestano, D., Ortica, F., Pan, H. R., Paoloni, A., Parkalian, N., Parmeggiano, S., Payupol, T., Pei, Y., Pelliccia, N., Peng, A., Peng, H., Perrot, F., Petitjean, P. A., Petrucci, F., Piñeres Rico, L. F., Pilarczyk, O., Popov, A., Poussot, P., Pratumwan, W., Previtali, E., Qi, F., Qian, S., Qian, X. H., Qiao, H., Qin, Z. H., Qiu, S. K., Rajput, M., Ranucci, G., Re, A., Rebber, H., Rebii, A., Ren, B., Rezinko, T., Ricci, B., Robens, M., Roche, M., Rodphai, N., Romani, A., 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. R., Strati, V., Studenikin, A., Sun, G. X., Sun, S. F., Sun, X. L., Sun, Y. J., Sun, Y. Z., Suwonjandee, N., Szelezniak, M., Tang, J., Tang, Q., Tang, X., Tietzsch, A., Tkachev, I., Triossi, A., Troni, G., Trzaska, W., Tuve, C., Ushakov, N., Waasen, S., Boom, J. Vanden, Vanroyen, G., Vassilopoulos, N., Vedin, V., Verde, G., Vialkov, M., Viaud, B., Volpe, C., Voronin, D., Votano, L., Walker, P., Wang, C., Wang, E., Wang, G., Wang, K. Y., Wang, L., Wang, M. F., Wang, S. G., Wang, W. S., Wang, X. Y., Wang, Y. G., Wang, Y. Q., Wang, Z. Y., Waqas, M., Watcharangkool, A., Wei, W., Wei, Y. D., Wiebusch, C., Wong, S. C. F., Wonsak, B., Wu, D., Wu, W. J., Wu, Z., Wurm, M., Wurtz, J., Wysotzki, C., Xi, Y. F., Xie, Y. G., Xu, B., Xu, C., Xu, D. L., Xu, F. R., Xu, H. K., Xu, J., Xu, M. H., Xu, Y., Yan, B. J., Yan, T., Yan, W. Q., Yan, X. B., Yan, Y. P., Yang, A. B., Yang, H., Yang, J., Yang, X. Y., Yang, Y., Yang, Y. F., Yasin, Z., Ye, J. X., Ye, Z. P., Yegin, U., Yermia, F., Yi, P. H., Yin, X. W., You, Z. Y., Yu, B. X., Yu, C. Y., Yu, C. X., Yu, M., Yu, X. H., Yuan, C. Z., Yuan, Y., Yuan, Z. X., Yuan, Z. Y., Zafar, N., Zambanini, A., Zeng, T. X., Zeng, Y. D., Zhang, G. Q., Zhang, H. Q., Zhang, J., Zhang, J. B., Zhang, P., Zhang, S., Zhang, T., Zhang, X. M., Zhang, Y., Zhang, Y. H., Zhang, Y. P., Zhao, F. Y., Zhao, R., Zhao, S. J., Zhao, T. C., Zheng, D. Q., Zheng, H., Zheng, M. S., Zheng, Y. H., Zhong, W. R., Zhou, J., Zhou, N., Zhou, S., Zhou, X., Zhu, J., Zhu, K. J., Zhuang, B., Zong, L., Rasco, B. C., Han, B. Y., Jeon, E. J., Jeong, Y., Jo, H. S., Kim, D. K., Kim, J. Y., Kim, J. G., Kim, Y. D., Ko, Y. J., Lee, H. M., Lee, M. H., Moon, C. S., Oh, Y. M., Park, H. K., Park, K. S., Seo, S. H., Siyeon, K., Sun, G. M., Yoon, Y. S., Yu, I., Borusinski, M. J., Dorrill, R., Druetzler, A., Learned, J., Li, V., Markoff, D., Maricic, J., Matsuno, S., Mumm, H. P., Nishimura, K., Irani, A., Pitt, M., Rasco, C., Thibodeau, B., Varner, G., Vogelaar, B., Wright, T., Andriamirado, M., Bass, C. D., Bergeron, D. E., Berish, D., Bowden, N. S., Brodsky, J. P., Bryan, C. D., Carr, R., Classen, T., Conant, A. J., Deichert, G., Dolinski, M. J., Erickson, A., Foust, B. T., Gaison, J. K., Galindo-Uribarri, A., Gilbert, C. E., Grant, C., Hackett, B. T., Hansell, A. B., Ji, X., Jones, D. C., Kyzylova, O., Lane, C. E., Larosa, J., Lu, X., Mendenhall, M. P., Meyer, A. M., Milincic, R., Mitchell, I., Mueller, P. E., Nave, C., Neilson, R., Nikkel, J. A., Norcini, D., Nour, S., Palomino, J. L., Pushin, D. A., Romero-Romero, E., Surukuchi, P. T., Tyra, M. A., Varner, R. L., Venegas-Vargas, D., Weatherly, P. B., White, C., Wilhelmi, J., Woolverton, A., Zhang, A., Zhang, X., Choi, J. H., Jang, H. I., Jang, J. S., Jeon, S. H., Joo, K. K., Ju, K., Jung, D. E., Kim, J. H., Kim, S. B., Kim, S. Y., Kim, W., Kwon, E., Lee, D. H., Lee, H. G., Lim, I. T., Moon, D. H., Pac, M. Y., Seo, H., Seo, J. W., Shin, C. D., Yang, B. S., Yoo, J., Yoon, S. G., Yeo, I. S., Chang, C., Bergé, L., Broniatowski, A., Dumoulin, L., Giuliani, A., Chapellier, M., Marcillac, P., Marnieros, S., Olivieri, E., Poda, D., Calvo, M., Goupy, J., Monfardini, A., Arnaud, Q., Augier, C., Billard, J., Cazes, A., Colas, J., Filippini, J., Gascon, J., Jesus, M., Lattaud, H., Juillard, A., Salagnac, T., Soldner, T., Lubashevskiy, A., Yakushev, E., Rozov, S., Lamblin, J., Mom, B., Stutz, A., Formaggio, J. A., Mayer, D. W., Johnston, J., Harrington, P., Heine, S., Sibille, V., Chen, R., Figueroa-Feliciano, E., Ziqing, H., Hertel, S., Patel, P., Pinckney, D., Serafin, A., Shilcusky, A., Decheine, N., Palladino, K., Weber, S., Hirjibehedin, C., Akindele, O. A., Carman, L., Dazeley, S., Ford, M., Jovanovic, I., Sutanto, F., Zaitseva, N., Beaumont, W., Binet, S., Bolognino, I., Borg, J., Buridon, V., Chanal, H., Coupé, B., Crochet, P., Cussans, D., Roeck, A., Durand, D., Fallot, M., Galbinski, D., Gallego, S., Giot, L., Guillon, B., Henaff, D., Hayashida, S., Hosseini, B., Kalcheva, S., Lehaut, G., Michiels, I., Monteil, S., Newbold, D., Roy, N., Ryckbosch, D., Sfar, H. Rejeb, Simard, L., Vacheret, A., Vandierendonck, G., Dyck, S., Remortel, N., Vercaemer, S., Verstraeten, M., Weber, A., Yeresko, M., Bonhomme, A., Buck, C., Del Amo Sanchez, P., El Atmani, I., Labit, L., Letourneau, A., Lhuillier, D., Licciardi, M., Materna, T., Pessard, H., Rogly, R., Savu, V., Schoppmann, S., Vialat, M., Algora, A., Beloeuvre, A., Estienne, M., Kean, R., Porta, A., Tain, J. L., Sidelnik, I., Anderson, T., Askins, M., Bagdasarian, Z., Baldoni, A., Barna, A., Benson, T., Bergevin, M., Bernstein, A., Birrittella, B., Bogetic, S., Boissevain, J., Borusinki, J., Boyd, S., Brooks, T., Budsworth, Mat, Burns, J., Calle, M., Camilo, C., Carroll, A., Coleman, J., Collins, R., Connor, C., Cowen, D., Crow, B., Curry, J., Dalnoki-Veress, F., Danielson, D., Diwan, M., Dixon, S., Drakopoulou, L., Duron, J., Dye, S., Fargher, S., Fienberg, A., Fischer, V., Foster, R., Frankiewicz, Kat, Gamble, T., Gooding, D., Gokhale, S., Gregorio, R., Gribble, J., Griskevich, J., Hadley, D., He, J., Healey, K., Hecla, J., Holt, G., Jabbari, C., Jewkes, K., Kaiser, R., Keenan, M., Keener, P., Kneale, Liz, Kudryavtsev, V., Kunkle, P., Litchfield, P., Liu, X. Ran, Lynch, G., Malek, M., Marr-Laundrie, P., Masic, B., Mauger, C., Mccauley, N., Metelko, C., Mills, R., Mitra, A., Muheim, F., Mullen, A., Murphy, A., Needham, M., Neights, E., Ogren, K., Orebi Gann, G., Oxborough, L., Paling, S., Papatyi, A., Paulos, B., Pershing, T., Pickard, L., Quillin, S., Resoro, R., Richards, B., Sabarots, L., Scarff, A., Schnellbach, Yan-Jie, Scovell, P., Seitz, B., Shea, O., Shebalin, V., Smith, G., Smy, M., Song, H., Spooner, N., Stanton, C., Stone, O., Svoboda, R., Szoldos, S., Thompson, L., Thomson, F., Toth, C., Vagins, M., Berg, Rick, Ventura, S., Walsh, B., Webster, J., Weiss, M., Westphal, D., Wetstein, M., Wilson, T., Wilson, S., Wolcott, S., Wright, M., Berryman, J. M., Collar, J. I., Erlandson, A., Gariazzo, S., Garzelli, M. V., Giunti, C., Goldblum, B. L., Hayes, A., Hedges, S., Mariani, C., Minic, D., Mougeot, X., Naim, D., Newby, J., Ni, K., O Donnell, T., Ozturk, S., Périssé, L., Pestes, R., Sonzogni, A. A., Tabrizi, Z., Vivier, M., Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), 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), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), 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), 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), Laboratoire Neutrino de Champagne Ardenne (LNCA - UMS 3263), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de physique subatomique et des technologies associées (SUBATECH), 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), Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM), Cryogénie (NEEL - Cryo), Institut Néel (NEEL), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Hélium : du fondamental aux applications (NEEL - HELFA), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de physique corpusculaire de Caen (LPCC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Laue-Langevin (ILL), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Département de Physique Nucléaire (ex SPhN) (DPHN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, CHANDLER, CONNIE, CONUS, Daya Bay, JUNO, MTAS, NEOS, NuLat, PROSPECT, RENO, Ricochet, ROADSTR Near-Field Working Group, SoLid, Stereo, Valencia-Nantes TAGS, vIOLETA, WATCHMAN, and HEP, INSPIRE

Subjects
High Energy Physics - Experiment (hep-ex), [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], hep-ex, neutrino: energy spectrum, antineutrino: nuclear reactor, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], FOS: Physical sciences, neutrino: oscillation, neutrino: nuclear reactor, Particle Physics - Experiment, neutrino: flux, High Energy Physics - Experiment
Abstract

Nuclear reactors are uniquely powerful, abundant, and flavor-pure sources of antineutrinos that continue to play a vital role in the US neutrino physics program. The US reactor antineutrino physics community is a diverse interest group encompassing many detection technologies and many particle physics topics, including Standard Model and short-baseline oscillations, BSM physics searches, and reactor flux and spectrum modeling. The community's aims offer strong complimentary with numerous aspects of the wider US neutrino program and have direct relevance to most of the topical sub-groups composing the Snowmass 2021 Neutrino Frontier. Reactor neutrino experiments also have a direct societal impact and have become a strong workforce and technology development pipeline for DOE National Laboratories and universities. This white paper, prepared as a submission to the Snowmass 2021 community organizing exercise, will survey the state of the reactor antineutrino physics field and summarize the ways in which current and future reactor antineutrino experiments can play a critical role in advancing the field of particle physics in the next decade., Contribution to Snowmass 2021

Published
2022

26. Activation Energies in MoSi/Al Superconducting Nanowire Single-Photon Detectors

Author

Salvoni D., Ejrnaes M., Gaggero A., Mattioli F., Martini F., Ahmad H. G., Di Palma L., Satariano R., Yang X. Y., You L., Tafuri F., Pepe G. P., Massarotti D., Montemurro D., Parlato L., Salvoni, D., Ejrnaes, M., Gaggero, A., Mattioli, F., Martini, F., Ahmad, H. G., Di Palma, L., Satariano, R., Yang, X. Y., You, L., Tafuri, F., Pepe, G. P., Massarotti, D., Montemurro, D., and Parlato, L.

Abstract

Superconducting nanowire single-photon detectors (SNSPDs) are receiving the interest of the scientific and industrial communities due to their unparallel high performances in the infrared. However, even though the fabrication process permits the achievement of about 98% efficiency and less than 1 cps dark-count rate, the physical mechanism inducing the detection remains unclear. It is clear however that normal core vortices play a crucial role. In this work we investigate the role of vortices in two-dimensional (2D) molybdenum silicide SNSPDs of different widths covered with an Al layer through the analysis of the switching current distributions from the superconducting to resistive regime, in a wide interval of temperatures from 4.5 K down to 10 mK. This analysis provides the energy scales of different mechanisms that are responsible for fluctuations and dark counts in SNSPDs. We consider two models based on vortices, the unbinding of vortex-Antivortex pairs (VAPs) and vortices hopping over the edge barrier (VH) and we underline the differences among different devices made by different materials. We also estimate the energy scales of similar Nb-Ti-N and NbN devices and compare the results. The lower activation energies obtained for MoSi/Al devices, explain the peculiarity of this material to work at longer wavelengths with a higher quantum detection efficiency.

Published
2022

29. Efficacy and safety of iguratimod combined with methylprednisolone for primary Sjögren's syndrome: a meta-analysis and trial sequential analysis.

Author

HU, G., YU, Y.-F., YIN, S., YANG, X.-Y., XU, Q., and YOU, H.

Abstract

OBJECTIVE: The purpose of this study is to evaluate the combination of iguratimod (IGU) and methylprednisolone (MP) for the efficacy and safety of primary Sjögren's syndrome (pSS) by a meta-analysis and a trial sequential analysis (TSA). MATERIALS AND METHODS: Clinical studies of IGU combined with MP for pSS were searched through eight databases. Revman 5.3 and TSA 0.9.5.10 Beta were used for the meta-analysis and TSA. RESULTS: In terms of efficacy endpoints, compared with "HCQ+MP" group, "IGU+MP" group decreased erythrocyte sedimentation rate (ESR) [mean difference (MD)=-5.15, 95% confidence interval (CI)=(-7.37, -2.93), p<0.0001], immunoglobulin G (IgG) [MD=-3.38, 95% CI=(-4.13, -2.64), p<0.00001], immunoglobulin M (IgM) [MD=-0.64, 95% CI=(-1.19, -0.09), p=0.02], Immunoglobulin A (IgA) [MD=-1.16, 95% CI=(-1.92, -0.39), p=0.003], EULAR Sjögren's Syndrome Disease Activity Index (ESSDAI) [MD=-1.62, 95% CI=(-2.07, -1.17), p<0.0001], EULAR Sjögren's Syndrome Patient Reported Index (ESSPRI) [MD=-2.07, 95% CI=(- 2.54, -1.59), p<0.0001], increase platelet (PLT) [MD=13.21, 95% CI=(9.77,16.65), p<0.00001], and improve Schirmer I test (SIT) [MD=1.86, 95% CI=(1.40, 2.32), p<0.0001]. TSA presented that these benefits observed with the current information volume were all conclusive, except for IgM. In terms of safety endpoints, the total adverse event rates (AEs), leucopenia, gastrointestinal (GI) AEs, skin diseases, and liver dysfunction of the "IGU+MP" group and the "HCQ+MP" group were comparable. And TSA indicated that the results need to be confirmed by additional studies. Harbord regression showed no publication bias (p=0.986). CONCLUSIONS: IGU combined with MP effectively attenuates autoimmune responses (IgG, IgM, IgA), reduces clinical symptoms and disease activity (ESR, PLT, ESSPRI, ESSDAI), and improves the exocrine gland functional status (SIT) in patients with pSS. IGU combined with MP does not increase the risk of adverse events, which means that IGU combined with MP may be a safe and effective strategy for the treatment of pSS and has value for further research exploration. [ABSTRACT FROM AUTHOR]

Published
2023

30. Identification of diagnostic biomarkers and immuno-infiltration analysis for rheumatoid arthritis based on biological information and WGCNA.

Author

ZHANG, Y., YANG, Q.-Y., YANG, L.-S., ZHANG, J., ZHANG, K., LIU, Y., XU, X.-D., YANG, X.-Y., WANG, J., and YAN, B.

Abstract

OBJECTIVE: Rheumatoid arthritis (RA), as an autoimmune disease, poses a huge social and economic burden worldwide. Although the diagnosis of RA has been gradually improved, there is still a need to discover accurate and rapid biomarkers for diagnosis and therapy with a precise understanding of the disease. This study aimed to screen diagnostic biomarkers and analyze immune infiltration in RA based on weighted gene co-expression network analysis (WGCNA). MATERIALS AND METHODS: Firstly, we screened the experimental and validation sets associated with RA from the GEO database. Crossover genes were obtained using differential genes (DEGs) and key modules in WGCNA. Subsequently, the crossover genes were constructed into protein-protein interaction (PPI) networks and screened to obtain hub genes. The receiver operating characteristic (ROC) curve assessment was performed to identify diagnostic biomarkers. In addition, we used the Cibersort algorithm for immuno-infiltration analysis and the DGidb database to search for drugs associated with diagnostic biomarkers. RESULTS: In the end, 377 DEGs were identified, and the enrichment analysis revealed significant associations with the immune system. Blue modules in the WGCNA analysis were positively associated with the disease and were identified as key modules. ROC curves evaluated the four hub genes, which significantly differentiated RA from healthy controls and could be used as diagnostic biomarkers. In further analysis, we found that RA is closely related to immunity, and the search identified multiple drugs that hold promise for treating RA. CONCLUSIONS: BCL2A1, PTGS2, FAS, and LY96 may be used as diagnostic biomarkers, which is significant for diagnosing and treating RA. [ABSTRACT FROM AUTHOR]

Published
2023

31. Is tirzepatide 15 mg the preferred treatment strategy for type 2 diabetes? A meta-analysis and trial-sequence-analysis.

Author

YANG, X.-Y., YIN, S., YU, Y.-F., HU, G., HANG, F.-Z., ZHOU, M.-L., LIU, P., and JIAN, W.-X.

Abstract

OBJECTIVE: The study aims to evaluate tirzepatide's efficacy and safety in treating type 2 diabetes by meta-analysis and trial-sequential-analysis (TSA). MATERIALS AND METHODS: Eight databases were searched for clinical trials on tirzepatide for type 2 diabetes with a time limit of November 2022. Revman5.3 and TSA 0.9.5.10 Beta were selected for meta-analysis and TSA. RESULTS: Compared with placebo, the meta-analysis demonstrated that tirzepatide 15 mg reduced hemoglobin-type-A1C (HbA1c) (p<0.00001), fasting-serum-glucose (FSG) (p<0.00001), and weight (p<0.00001). Compared with insulin, tirzepatide 15 mg reduced HbA1c (p<0.00001), FSG (p<0.00007), and weight (p<0.00001). Compared with glucagon-like-peptide-1 receptor-agonist (GLP-1 RA), tirzepatide 15 mg reduced HbA1c (p=0.00004), FSG (p=0.001), and weight (p<0.00001). In safety endpoints, the meta-analysis revealed that adverse events (AEs) of placebo, insulin and GLP-1 RA were comparable to tirzepatide 15 mg. The total AEs (p=0.02) and gastrointestinal (GI) AEs (p=0.03) were higher in tirzepatide 15 mg than in the placebo, while hypoglycemia (<54 mg/dl) was comparable. The major adverse cardiovascular events-4 (MACE-4) (p=0.03) and hypoglycemia (<54 mg/dl) (p<0.00001) of tirzepatide 15 mg were lower when compared to insulin, while total AEs (p=0.03) were increased. Compared with GLP-1 RA, tirzepatide 15 mg was comparable in safety endpoints in total AEs and GI AEs, while hypoglycemia (<54 mg/dl) (p=0.04) was higher. TSA indicated that HgA1c, FSG, and weight benefits were conclusive. In safety endpoints, only MACE-4 and hypoglycemia (<54 mg/dl) of Tirzepatide 15 mg vs. I nsulin w ere c onclusive. H arbord regression of AEs suggested no evident publication bias (p=0.618). CONCLUSIONS: Tirzepatide 15 mg reduced HbA1c and weight more effectively than placebo, insulin, and GLP-1 RA. Total AEs were higher than placebo and insulin but comparable to GLP-1 RA. Tirzepatide 15 mg is a kind of optimal strategy to treat type 2 diabetes. However, there is a need to focus on GI AEs. [ABSTRACT FROM AUTHOR]

Published
2023

32. Providing VCR in a Distributed Client Collaborative Multicast Video Delivery Scheme

Author

Yang, X. Y., Hernández, P., Cores, F., Ripoll, A., Suppi, R., Luque, E., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Nagel, Wolfgang E., editor, Walter, Wolfgang V., editor, and Lehner, Wolfgang, editor

Published
2006
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34. Dynamic Distributed Collaborative Merging Policy to Optimize the Multicasting Delivery Scheme

Author

Yang, X. Y., Hernández, Porfidio, Cores, F., Ripoll, A., Suppi, R., Luque, Emilio, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cunha, José C., editor, and Medeiros, Pedro D., editor

Published
2005
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35. Supporting Caching and Mirroring in Distributed Video-on-Demand Architectures

Author

Yang, X. Y., Cores, F., Ripoll, A., Hernández, P., Qazzaz, B., Suppi, R., Luque, E., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Danelutto, Marco, editor, Vanneschi, Marco, editor, and Laforenza, Domenico, editor

Published
2004
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36. THE DYNAMIC RESPONSE RELATIONSHIP BETWEEN FISHING ACTIVITY AND FISHERY RESOURCES CARRYING CAPACITY IN CHANGSHAN ISLANDS, CHINA.

Author

CAO, W. W., SUN, C. Z., and YANG, X. Y.

Subjects
FISHERY resources, FISHERIES, VECTOR autoregression model, BOUNDED rationality, DYNAMIC balance (Mechanics), FISHING
Abstract

Human who is subject to the bounded rationality will also improve fishing activity to restore the piscatorial resource that already ebbed. We evaluate the relationship between fishery resources carrying capacity and fishing activity of the Changshan Islands, China, by vector autoregression model. It demonstrates that there is a remarkable negative correlation between fishery resources carrying capacity and major fish species catch. Overfishing leads to a decline in carrying capacity, the results of which can be seen quickly by the size and Mean Trophic Level of the catch. However, there is a dynamic balance between the intensity of fishing activity and the carrying capacity of the fishery ecosystem. The reduction of fishery resources limited the fishing activities of fishermen, which forced them to shift fishing areas or switch to mariculture, so that the ecosystem can be restored. The relationship of dynamic balance between fishing activity and fishery resources carrying capacity proves that the fishery ecosystem has the function of self-stabilizing, and human beings are rational in limiting fishing activities. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector

Author

Abusleme, A, Adam, T, Ahmad, S, Aiello, S, Akram, M, Ali, N, An, F, An, G, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Babic, A, Balantekin, A, Baldini, W, Baldoncini, M, Band, H, Barresi, A, Baussan, E, Bellato, M, Bernieri, E, Biare, D, Birkenfeld, T, Bishai, M, Blin, S, Blum, D, Blyth, S, Bordereau, C, Brigatti, A, Brugnera, R, Budano, A, Burgbacher, P, Buscemi, M, Bussino, S, 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, H, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Cheng, Z, Chepurnov, A, Cherwinka, J, Chiarello, F, Chiesa, D, Chimenti, P, Chu, M, Chukanov, A, Chuvashova, A, Clementi, C, Clerbaux, B, Di Lorenzo, S, Corti, D, Costa, S, Dal Corso, F, Cummings, J, Dalager, O, De La Taille, C, Deng, F, Deng, J, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Diwan, M, Dohnal, T, Donchenko, G, Dong, J, Dornic, D, Doroshkevich, E, Dove, J, Dracos, M, Druillole, F, Du, S, Dusini, S, Dvorak, M, Dwyer, D, Enqvist, T, Enzmann, H, Fabbri, A, Fajt, L, Fan, D, Fan, L, Fang, C, Fang, J, Fatkina, A, Fedoseev, D, Fekete, V, Feng, L, Feng, Q, Fiorentini, G, Ford, R, Formozov, A, Fournier, A, Franke, S, Gallo, J, 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, M, Gromov, V, Gu, M, Gu, W, Gu, X, Gu, Y, Guan, M, Guardone, N, Gul, M, Guo, C, Guo, J, Guo, L, Guo, W, Guo, X, Guo, Y, Guo, Z, Haacke, M, Hackenburg, R, Hackspacher, P, Hagner, C, Han, R, Han, Y, Hans, S, He, M, He, W, Heeger, K, Heinz, T, Heng, Y, Herrera, R, Higuera, A, 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, Huber, P, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Insolia, A, Ioannisian, A, Ioannisyan, D, Isocrate, R, Jaffe, D, Jen, K, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, X, Jin, R, Jing, X, Johnson, R, Jollet, C, Jones, D, Joutsenvaara, J, Jungthawan, S, Kalousis, L, Kampmann, P, Kang, L, Karagounis, M, Kazarian, N, Kettell, S, Khan, A, Khan, W, Khosonthongkee, K, Kinz, P, Kohn, S, Korablev, D, Kouzakov, K, Kramer, M, Krasnoperov, A, Krokhaleva, S, Krumshteyn, Z, Kruth, A, Kutovskiy, N, Kuusiniemi, P, Lachacinski, B, Lachenmaier, T, Landini, C, Langford, T, Lee, J, Lefevre, F, Lei, L, 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, C, Lin, G, Lin, S, Lin, T, Lin, Y, Ling, J, Link, J, Lippi, I, Littenberg, L, Littlejohn, B, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Loo, K, Lorenz, S, Lu, C, Lu, H, Lu, J, Lu, S, Lu, X, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Luk, K, Luo, F, Luo, G, Luo, P, Luo, S, Luo, W, Lyashuk, V, Ma, Q, Ma, S, Ma, X, Ma, Y, Malyshkin, Y, Mantovani, F, Mao, Y, Mari, S, Marini, F, Marium, S, Marshall, C, Martellini, C, Martin-Chassard, G, Caicedo, D, Martini, A, Martino, J, Mayilyan, D, Mcdonald, K, Mckeown, R, Muller, A, Meng, G, Mednieks, I, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Monforte, S, Montini, P, Montuschi, M, Morozov, N, Muralidharan, P, Napolitano, J, Nastasi, M, Naumov, D, Naumova, E, Nemchenok, I, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Ortica, F, Pan, H, Paoloni, A, Park, J, Parkalian, N, Parmeggiano, S, Patton, S, Payupol, T, Pec, V, Pedretti, D, Pei, Y, Pelliccia, N, Peng, A, Peng, H, Peng, J, Perrot, F, Petitjean, P, Rico, L, Popov, A, Poussot, P, Pratumwan, W, Previtali, E, Pun, C, 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, Reveco, C, Rezinko, T, Ricci, B, Robens, M, Roche, M, Rodphai, N, Rohwer, L, Romani, A, Rosero, R, Roskovec, B, Roth, C, Ruan, X, Rujirawat, S, Rybnikov, A, Sadovsky, A, Saggese, P, Salamanna, G, 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, Shahzad, M, Shi, G, Shi, J, Shi, Y, 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, Steiner, H, Steinmann, J, Stender, M, Strati, V, Studenikin, A, Sun, G, Sun, L, Sun, J, Sun, S, Sun, X, Sun, Y, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Tietzsch, A, Tkachev, I, Tmej, T, Treskov, K, Troni, G, Trzaska, W, Tse, W, Tull, C, Tuve, C, van Waasen, S, Boom, J, Vassilopoulos, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Viren, B, Volpe, C, Vorobel, V, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, K, Wang, L, Wang, M, Wang, N, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, H, Wei, L, Wei, W, Wei, Y, Wen, L, Whisnant, K, White, C, Wiebusch, C, Wong, S, Wong, H, Wonsak, B, Worcester, E, Wu, C, Wu, D, Wu, F, Wu, Q, Wu, W, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xie, Y, Xie, Z, Xing, Z, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, T, Xu, Y, Xue, T, 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, Yegin, U, Yeh, M, Yermia, F, Yi, P, You, Z, Young, B, 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, P, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, C, Zhang, F, Zhang, G, Zhang, H, Zhang, J, Zhang, P, Zhang, Q, 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., Aiello S., Akram M., Ali N., An F. P., An G. P., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Babic A., Balantekin A. B., Baldini W., Baldoncini M., Band H. R., Barresi A., Baussan E., Bellato M., Bernieri E., Biare D., Birkenfeld T., Bishai M., Blin S., Blum D., Blyth S., Bordereau C., Brigatti A., Brugnera R., Budano A., Burgbacher P., Buscemi M., Bussino S., Busto J., Butorov I., Cabrera A., Cai H., Cai X., Cai Y. K., Cai Z. Y., Cammi A., Campeny A., Cao C. Y., Cao G. F., Cao J., Caruso R., Cerna C., Chang J. F., Chang Y., Chen H. S., Chen P. A., Chen P. P., Chen S. M., Chen S. J., Chen X. R., Chen Y. W., Chen Y. X., Chen Y., Chen Z., Cheng J., Cheng Y. P., Cheng Z. K., Chepurnov A., Cherwinka J. J., Chiarello F., Chiesa D., Chimenti P., Chu M. C., Chukanov A., Chuvashova A., Clementi C., Clerbaux B., Di Lorenzo S. C., Corti D., Costa S., Dal Corso F., Cummings J. P., Dalager O., De La Taille C., Deng F. S., Deng J. W., Deng Z., Deng Z. Y., Depnering W., Diaz M., Ding X. F., Ding Y. Y., Dirgantara B., Dmitrievsky S., Diwan M. V., Dohnal T., Donchenko G., Dong J. M., Dornic D., Doroshkevich E., Dove J., Dracos M., Druillole F., Du S. X., Dusini S., Dvorak M., Dwyer D. A., Enqvist T., Enzmann H., Fabbri A., Fajt L., Fan D. H., Fan L., Fang C., Fang J., Fatkina A., Fedoseev D., Fekete V., Feng L. C., Feng Q. C., Fiorentini G., Ford R., Formozov A., Fournier A., Franke S., Gallo J. P., Gan H. N., Gao F., Garfagnini A., Gottel A., Genster C., Giammarchi M., Giaz A., Giudice N., Giuliani F., Gonchar M., Gong G. H., Gong H., Gorchakov O., Gornushkin Y., Grassi M., Grewing C., Gromov M., Gromov V., Gu M. H., Gu W. Q., Gu X. F., Gu Y., Guan M. Y., Guardone N., Gul M., Guo C., Guo J. Y., Guo L., Guo W. L., Guo X. H., Guo Y. H., Guo Z., Haacke M., Hackenburg R. W., Hackspacher P., Hagner C., Han R., Han Y., Hans S., He M., He W., Heeger K. M., Heinz T., Heng Y. K., Herrera R., Higuera A., Hong D. J., Hor Y. K., Hou S. J., Hsiung Y. B., Hu B. Z., Hu H., Hu J. R., Hu J., Hu S. Y., Hu T., Hu Z. J., Huang C. H., Huang G. H., Huang H. X., Huang Q. H., Huang W. H., Huang X. T., Huang Y. B., Huber P., Hui J. Q., Huo L., Huo W. J., Huss C., Hussain S., Insolia A., Ioannisian A., Ioannisyan D., Isocrate R., Jaffe D. E., Jen K. L., Ji X. L., Ji X. P., Ji X. Z., Jia H. H., Jia J. J., Jian S. Y., Jiang D., Jiang X. S., Jin R. Y., Jing X. P., Johnson R. A., Jollet C., Jones D., Joutsenvaara J., Jungthawan S., Kalousis L., Kampmann P., Kang L., Karagounis M., Kazarian N., Kettell S. H., Khan A., Khan W., Khosonthongkee K., Kinz P., Kohn S., Korablev D., Kouzakov K., Kramer M., Krasnoperov A., Krokhaleva S., Krumshteyn Z., Kruth A., Kutovskiy N., Kuusiniemi P., Lachacinski B., Lachenmaier T., Landini C., Langford T. J., Lee J., Lee J. H. C., Lefevre F., Lei L., Lei R., Leitner R., Leung J., Li D. M., Li F., Li H. T., Li H. L., Li J., Li J. J., Li J. Q., Li K. J., Li M. Z., Li N., Li Q. J., Li R. H., Li S. C., Li S. F., Li S. J., Li T., Li W. D., Li W. G., Li X. M., Li X. N., Li X. L., Li X. Q., Li Y., Li Y. F., Li Z. B., Li Z. Y., Liang H., Liang J. J., Liebau D., Limphirat A., Limpijumnong S., Lin C. J., Lin G. L., Lin S. X., Lin T., Lin Y. H., Ling J. J., Link J. M., Lippi I., Littenberg L., Littlejohn B. R., Liu F., Liu H., Liu H. B., Liu H. D., Liu H. J., Liu H. T., Liu J. C., Liu J. L., Liu M., Liu Q., Liu R. X., Liu S. Y., Liu S. B., Liu S. L., Liu X. W., Liu Y., Lokhov A., Lombardi P., Loo K., Lorenz S., Lu C., Lu H. Q., Lu J. B., Lu J. G., Lu S. X., Lu X. X., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Luk K. B., Luo F. J., Luo G., Luo P. W., Luo S., Luo W. M., Lyashuk V., Ma Q. M., Ma S., Ma X. B., Ma X. Y., Ma Y. Q., Malyshkin Y., Mantovani F., Mao Y. J., Mari S. M., Marini F., Marium S., Marshall C., Martellini C., Martin-Chassard G., Caicedo D. A. M., Martini A., Martino J., Mayilyan D., McDonald K. T., McKeown R. D., Muller A., Meng G., Mednieks I., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Monforte S., Montini P., Montuschi M., Morozov N., Muralidharan P., Napolitano J., Nastasi M., Naumov D. V., Naumova E., Nemchenok I., Nikolaev A., Ning F. P., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Ortica F., Pan H. R., Paoloni A., Park J., Parkalian N., Parmeggiano S., Patton S., Payupol T., Pec V., Pedretti D., Pei Y. T., Pelliccia N., Peng A. G., Peng H. P., Peng J. C., Perrot F., Petitjean P. A., Rico L. F. P., Popov A., Poussot P., Pratumwan W., Previtali E., Pun C. S. J., Qi F. Z., Qi M., Qian S., Qian X., Qian X. H., Qiao H., Qin Z. H., Qiu S. K., Rajput M., Ranucci G., Raper N., Re A., Rebber H., Rebii A., Ren B., Ren J., Reveco C. M., Rezinko T., Ricci B., Robens M., Roche M., Rodphai N., Rohwer L., Romani A., Rosero R., Roskovec B., Roth C., Ruan X. C., Ruan X. D., Rujirawat S., Rybnikov A., Sadovsky A., Saggese P., Salamanna G., 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., Shahzad M., Shi G., Shi J. Y., Shi Y. 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., Steiner H., Steinmann J., Stender M., Strati V., Studenikin A., Sun G. X., Sun L. T., Sun J. L., Sun S. F., Sun X. L., Sun Y. J., Sun Y. Z., Suwonjandee N., Szelezniak M., Tang J., Tang Q., Tang X., Tietzsch A., Tkachev I., Tmej T., Treskov K., Troni G., Trzaska W., Tse W. -H., Tull C. E., Tuve C., van Waasen S., Boom J. V. D., Vassilopoulos N., Vedin V., Verde G., Vialkov M., Viaud B., Viren B., Volpe C., Vorobel V., Votano L., Walker P., Wang C., Wang C. H., Wang E., Wang G. L., Wang J., Wang K. Y., Wang L., Wang M. F., Wang M., Wang N. Y., Wang R. G., Wang S. G., Wang W., Wang W. S., Wang X., Wang X. Y., Wang Y., Wang Y. F., Wang Y. G., Wang Y. M., Wang Y. Q., Wang Z., Wang Z. M., Wang Z. Y., Watcharangkool A., Wei H. Y., Wei L. H., Wei W., Wei Y. D., Wen L. J., Whisnant K., White C. G., Wiebusch C., Wong S. C. F., Wong H. L. H., Wonsak B., Worcester E., Wu C. H., Wu D. R., Wu F. L., Wu Q., Wu W. J., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y. F., Xia D. M., Xie Y. G., Xie Z. Q., Xing Z. Z., Xu D. L., Xu F. R., Xu H. K., Xu J. L., Xu J., Xu M. H., Xu T., Xu Y., Xue T., Yan B. J., Yan X. B., Yan Y. P., Yang A. B., Yang C. G., Yang H., Yang J., Yang L., Yang X. Y., Yang Y. F., Yang Y. Z., Yao H. F., Yasin Z., Ye J. X., Ye M., Yegin U., Yeh M., Yermia F., Yi P. H., You Z. Y., Young B. L., Yu B. X., Yu C. X., Yu C. Y., Yu H. Z., Yu M., Yu X. H., Yu Z. Y., Yuan C. Z., Yuan Y., Yuan Z. X., Yuan Z. Y., Yue B. B., Zafar N., Zambanini A., Zeng P., Zeng S., Zeng T. X., Zeng Y. D., Zhan L., Zhang C., Zhang F. Y., Zhang G. Q., Zhang H. H., Zhang H. Q., Zhang J., Zhang J. B., Zhang J. W., Zhang P., Zhang Q. M., Zhang T., Zhang X. M., Zhang X. T., Zhang Y., Zhang Y. H., Zhang Y. M., Zhang Y. P., Zhang Y. X., Zhang Y. Y., Zhang Z. J., Zhang Z. P., Zhang Z. Y., Zhao F. Y., Zhao J., Zhao R., Zhao S. J., Zhao T. C., Zheng D. Q., Zheng H., Zheng M. S., Zheng Y. H., Zhong W. R., Zhou J., Zhou L., Zhou N., Zhou S., Zhou X., Zhu J., Zhu K. J., Zhuang H. L., Zong L., Zou J. 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D., Muller A., Meng G., Mednieks I., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Monforte S., Montini P., Montuschi M., Morozov N., Muralidharan P., Napolitano J., Nastasi M., Naumov D. V., Naumova E., Nemchenok I., Nikolaev A., Ning F. P., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Ortica F., Pan H. R., Paoloni A., Park J., Parkalian N., Parmeggiano S., Patton S., Payupol T., Pec V., Pedretti D., Pei Y. T., Pelliccia N., Peng A. G., Peng H. P., Peng J. C., Perrot F., Petitjean P. A., Rico L. F. P., Popov A., Poussot P., Pratumwan W., Previtali E., Pun C. S. J., Qi F. Z., Qi M., Qian S., Qian X., Qian X. H., Qiao H., Qin Z. H., Qiu S. K., Rajput M., Ranucci G., Raper N., Re A., Rebber H., Rebii A., Ren B., Ren J., Reveco C. M., Rezinko T., Ricci B., Robens M., Roche M., Rodphai N., Rohwer L., Romani A., Rosero R., Roskovec B., Roth C., Ruan X. C., Ruan X. 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Abstract

To maximize the light yield of the liquid scintillator (LS) for the Jiangmen Underground Neutrino Observatory (JUNO), a 20 t LS sample was produced in a pilot plant at Daya Bay. The optical properties of the new LS in various compositions were studied by replacing the gadolinium-loaded LS in one antineutrino detector. The concentrations of the fluor, PPO, and the wavelength shifter, bis-MSB, were increased in 12 steps from 0.5 g/L and <0.01 mg/L to 4 g/L and 13 mg/L, respectively. The numbers of total detected photoelectrons suggest that, with the optically purified solvent, the bis-MSB concentration does not need to be more than 4 mg/L. To bridge the one order of magnitude in the detector size difference between Daya Bay and JUNO, the Daya Bay data were used to tune the parameters of a newly developed optical model. Then, the model and tuned parameters were used in the JUNO simulation. This enabled to determine the optimal composition for the JUNO LS: purified solvent LAB with 2.5 g/L PPO, and 1 to 4 mg/L bis-MSB.

Published
2021

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