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1. Sichen Formula Ameliorates Lipopolysaccharide-Induced Acute Lung Injury via Blocking the TLR4 Signaling Pathways

Author

Yan LS, Cui S, Cheng BCY, Yin XB, Wang YW, Qiu XY, Nima CR, Zhang Y, and Zhang SF

Subjects
sichen formula, acute lung injury, raw264.7 macrophages, lipopolysaccharide, tlr4 signaling pathways, Therapeutics. Pharmacology, RM1-950
Abstract

Li-Shan Yan,1,* Shuang Cui,1,* Brian Chi-Yan Cheng,2 Xing-Bin Yin,1 Yi-Wei Wang,1 Xin-Yu Qiu,1 Ci-Ren Nima,3 Yi Zhang,1 Shuo-Feng Zhang1 1School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 2College of Professional and Continuing Education, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China; 3Tibetan Traditional Medical College, Lhasa, Tibet, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shuo-Feng Zhang; Yi Zhang, School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People’s Republic of China, Tel/Fax +86-10-53912122, Email shuofengzhang@sina.com; yizhang714@163.comPurpose: Sichen (SC) formula is a classic prescription of Tibetan medicine. Due to its potential anti-inflammatory effect, the SC formula has been clinically used to treat respiratory diseases for many years in the Chinese Tibet region. The present study aimed to investigate the anti-inflammatory effect of SC and explore the underlying mechanisms.Methods: SC formula was characterized by HPLC analysis. The acute lung injury (ALI) mouse model was induced by direct intratracheal lipopolysaccharide (LPS) instillation, and bronchoalveolar lavage fluid (BALF) and lung tissues were collected. Meanwhile, RAW264.7 macrophages were stimulated by LPS. The contents of inflammatory mediators in the culture medium were determined by ELISA. Protein levels were determined by immunohistochemical staining or Western blotting. Nuclear localization of NF-κB, AP-1, and IRF3 was performed using immunofluorescence and Western blotting.Results: In the LPS-induced ALI mouse model, SC treatment suppressed the secretion of inflammatory mediators (TNF-α, IL-6, IL-1β, MCP-1, MIP-1α, and RANTES) in BALF. SC treatment hindered the recruitment of macrophages. SC treatment also inhibited the expression of CD68, p-p65, and TLR4 in the lung tissue. In the LPS-exposed RAW264.7 cells, the cell viability was not changed up to 400 μg/mL of SC. SC concentration-dependently suppressed the production of nitric oxide, prostaglandin E2, TNF-α, IL-6, MCP-1, MIP-1α, and RANTES in LPS-challenged RAW264.7 cells. The expression levels of iNOS, COX-2, p-p38, p-JNK, p-ERK, p-TBK1, p-IKKα/β, p-IκB, p-p65, p-c-Jun, and p-IRF3 were decreased after SC treatment. Moreover, the nuclear translocation of p65, c-Jun, and IRF3 was also blocked by SC treatment.Conclusion: SC treatment inhibited the inflammatory responses in LPS-induced ALI mouse model/RAW264.7 macrophages. The underlying mechanism of this action may be closely associated with the suppression of TLR4 signaling pathways. These research findings provide further pharmacological justifications for the medicinal use of SC in the management of respiratory diseases.Keywords: Sichen formula, acute lung injury, RAW264.7 macrophages, lipopolysaccharide, TLR4 signaling pathways

Published
2023

2. A Network Pharmacology-Based Strategy For Predicting Active Ingredients And Potential Targets Of LiuWei DiHuang Pill In Treating Type 2 Diabetes Mellitus

Author

He D, Huang JH, Zhang ZY, Du Q, Peng WJ, Yu R, Zhang SF, Zhang SH, and Qin YH

Subjects
lwdh pill, type 2 diabetes mellitus (t2dm), network pharmacology, Therapeutics. Pharmacology, RM1-950
Abstract

Dan He,1 Jian-Hua Huang,1–3 Zhe-Yu Zhang,4 Qing Du,1 Wei-Jun Peng,4 Rong Yu,1,2 Si-Fang Zhang,4 Shui-Han Zhang,1,* Yu-Hui Qin1,* 1Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410013, People’s Republic of China; 2Hunan Key Laboratory of TCM Prescription and Syndromes Translational Medicine, Changsha, Hunan 410208, People’s Republic of China; 32011 Collaboration and Innovation Center for Digital Chinese Medicine in Hunan, Changsha 410013, People’s Republic of China; 4Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shui-Han Zhang; Yu-Hui QinHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, No. 300 Xueshi Road, Hanpu Science Park, Changsha, Hunan 410013, People’s Republic of ChinaEmail zhangshuihan0220@126.com; dlqyh@sohu.comBackground: Traditional Chinese medicine (TCM) formulations have proven to be advantageous in clinical treatment and prevention of disease. LiuWei DiHuang Pill (LWDH Pill) is a TCM that was employed to treat type 2 diabetes mellitus (T2DM). However, a holistic network pharmacology approach to understanding the active ingredients and the therapeutic mechanisms underlying T2DM has not been pursued.Methods: A network pharmacology approach including drug-likeness evaluation, oral bioavailability prediction, virtual docking, and network analysis has been used to predict the active ingredients and potential targets of LWDH Pill in the treatment of type 2 diabetes.Results: The comprehensive network pharmacology approach was successfully to identify 45 active ingredients in LWDH Pill. 45 active ingredients hit by 163 potential targets related to T2DM. Ten of the more highly predictive components (such as :quercetin, Kaempferol, Stigmasterol, beta-sitosterol, Kadsurenone, Diosgenin, hancinone C, Hederagenin, Garcinone B, Isofucosterol) are involved in anti-inflammatory, anti-oxidative stress, and the reduction of beta cell damage. LWDH Pill may play a role in the treatment of T2DM and its complications (atherosclerosis and nephropathy) through the AGE-RAGE signaling pathway, TNF signaling pathway, and NF-kappa B signaling pathway.Conclusion: Based on a systematic network pharmacology approach, our works successfully predict the active ingredients and potential targets of LWDH Pill for application to T2DM and helps to illustrate mechanism of action on a comprehensive level. This study provides identify key genes and pathway associated with the prognosis and pathogenesis of T2DM from new insights, which also demonstrates a feasible method for the research of chemical basis and pharmacology in LWDH Pill.Keywords: LWDH Pill, type 2 diabetes mellitus, T2DM, network pharmacology

Published
2019

3. IGF1R facilitates epithelial-mesenchymal transition and cancer stem cell properties in neuroblastoma via the STAT3/AKT axis

Author

Wang XH, Wu HY, Gao J, Gao TH, and Zhang SF

Subjects
IGF1R, neuroblastoma, epithelial mesenchymal transition, stemness, STAT3, AKT, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Xiao-Hui Wang,1 Hai-Ying Wu,2 Jian Gao,1 Xu-Hui Wang,1 Tian-Hui Gao,3 Shu-Feng Zhang11Department of Pediatric Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), Zhengzhou 450003, People’s Republic of China; 2Department of Obstetrics, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), Zhengzhou 450003, People’s Republic of China; 3Department of Medical Oncology, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), Zhengzhou 450003, People’s Republic of ChinaBackground: Neuroblastoma (NB) displays the most heterogeneity in clinical manifestation. The insulin-like growth factor 1 receptor (IGF1R) has long been recognized for its role in tumourigenesis and growth. The IGF/IGF1R pathway is important in maintaining cell survival. It is reported that IGF1R participates in the occurrence of NB, but the mechanism is still unclear.Methods: Human NB cell lines IMR-32 and SH-SY5Y were recruited in this study. IGF1R was knocked down by transfection with short hairpin RNA. Signal transducer and activator of transcription 3 (STAT3) expression was inhibited by Cryptotanshinone treatment. Cell proliferation, migration, and invasion were determined by MTT assay, wound healing assay, and cell invasion assay, respectively. The cancer stem cell properties were characterized by tumour sphere formation assay and colony formation assay. The mRNA and protein expression levels of related proteins were detected by RT-PCR and Western blot, respectively.Results: The knockdown of IGF1R inhibits NB cell tumourigenesis and the epithelial-mesenchymal transition (EMT) of NB cells. Additionally, IGF1R was found to stimulate cancer stem cell-like properties in NPC cells. The knockdown of IGF1R significantly reduced the phosphorylation of AKT, and STAT3, indicating that the activation of the AKT and STAT3 pathways was inhibited by IGF1R knockdown. Furthermore, IGF1R was demonstrated to stimulate cancer stem cell-like properties in NB cells via the regulation of the STAT3/AKT axis.Conclusion: IGF1R promotes cancer stem cell properties to facilitate EMT in neuroblastoma via the STAT3/AKT axis.Keywords: IGF1R, neuroblastoma, epithelial mesenchymal transition, stemness, STAT3, AKT

Published
2019

4. A Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of LiuWei DiHuang Pill in Treating Type 2 Diabetes Mellitus [Corrigendum]

Author

He D, Huang JH, Zhang ZY, Du Q, Peng WJ, Yu R, Zhang SF, Zhang SH, and Qin YH

Subjects
lwdh pill, type 2 diabetes mellitus (t2dm), network pharmacology, Therapeutics. Pharmacology, RM1-950
Abstract

He D, Huang JH, Zhang ZY, et al. Drug Des Devel Ther. 2019;13:3989–4005.The authors missed to mention equal contribution of the authors Dan He and Jian Hua Huang in the author list. The revised author list should appear as follows:Dan He,1,* Jian-Hua Huang,1– 3,* Zhe-Yu Zhang,4 Qing Du,1 Wei-Jun Peng,4 Rong Yu,1,2 Si-Fang Zhang,4 Shui-Han Zhang,1 Yu-Hui Qin1 1Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410013, People’s Republic of China; 2Hunan Key Laboratory of TCM Prescription and Syndromes Translational Medicine, Changsha, Hunan 410208, People’s Republic of China; 32011 Collaboration and Innovation Center for Digital Chinese Medicine in Hunan, Changsha 410013, People’s Republic of China; 4Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People’s Republic of China*These authors contributed equally to this workRead the original article

Published
2020

5. Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease

Author

Wei L, Xu D, Qian YC, Huang GY, Ma W, Liu FY, Shen YH, Wang ZF, Li L, Zhang SF, and Chen YF

Subjects
Diseases of the respiratory system, RC705-779
Abstract

Lei Wei,1,* Dong Xu,2,* Yechang Qian,1 Guoyi Huang,1 Wei Ma,1 Fangying Liu,1 Yanhua Shen,1 Zhongfu Wang,1 Li Li,1 Shanfang Zhang,1 Yafang Chen1 1Department of Respiratory Disease, Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 2Medical College of Soochow University, Suzhou, People's Republic of China *These authors contributed equally to this work Objective: To investigate the gene-expression profile of chronic obstructive pulmonary disease (COPD) patients and explore the possible therapeutic targets. Methods: The microarray raw dataset GSE29133, including three COPD samples and three normal samples, was obtained from Gene Expression Omnibus. After data preprocessing with the Affy package, Student’s t-test was employed to identify the differentially expressed genes (DEGs). The up- and downregulated DEGs were then pooled for gene-ontology and pathway-enrichment analyses using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The upstream regulatory elements of these DEGs were also explored by using Whole-Genome rVISTA. Furthermore, we constructed a protein–protein interaction (PPI) network for DEGs. The surfactant protein D (SP-D) serum level and HLA-A gene frequency in COPD patients and healthy controls were also measured by enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction, respectively. Results: A total of 39 up- and 15 downregulated DEGs were screened. Most of the upregulated genes were involved in the immune response process, while the downregulated genes were involved in the steroid metabolic process. Moreover, we also found that HLA-A has the highest degree in the PPI network. The SP-D serum level and HLA-A gene frequency in COPD patients were significantly higher than those in healthy controls (13.62±2.09 ng/mL vs 10.28±2.86 ng/mL; 62.5% vs 12.5%; P

Published
2015

6. Synthesis and Magnetic Properties of Maghemite (γ-Fe2O3) Short-Nanotubes

Author

Xiao XH, Zhang SF, Peng TC, Zhou J, Ren F, Wu W, and Jiang CZ

Subjects
Short-nanotubes, γ-Fe2O3, Magnetic properties, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Abstract We report a rational synthesis of maghemite (γ-Fe2O3) short-nanotubes (SNTs) by a convenient hydrothermal method and subsequent annealing process. The structure, shape, and magnetic properties of the SNTs were investigated. Room-temperature and low-temperature magnetic measurements show that the as-fabricated γ-Fe2O3 SNTs are ferromagnetic, and its coercivity is nonzero when the temperature above blocking temperature (TB). The hysteresis loop was operated to show that the magnetic properties of γ-Fe2O3 SNTs are strongly influenced by the morphology of the crystal. The unique magnetic behaviors were interpreted by the competition of the demagnetization energy of quasi-one-dimensional nanostructures and the magnetocrystalline anisotropy energy of particles in SNTs.

Published
2010
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9. Measurements of absolute branching fractions of D-0 -> K-L(0)phi, K-L(0)eta, K-L(0)omega, and K-L(0)eta '

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Gu, S, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Husken, N, Kl, He, Heinsius, Fh, Heinz, Ch, Held, T, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Lin, Cx, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Yj, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Yuncu, A, Zafar, Aa, Zeng, X, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jj, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yh, Zhang, Yt, Zhang, Zh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Y, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

10. Measurement of A baryon polarization in e(+) e(-) -> Lambda(Lambda)over-bar at root s=3.773 GeV

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Egorov, P, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kk, He, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Hn, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Li, X, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, Dx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Gm, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Plura, S, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Jj, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Stieler, F, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Xh, Wu, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xm, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

11. Search for the decay h(c) -> pi(0) J/psi

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Baldiniferroli, R, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Hn, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, Dx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Gm, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Jj, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Xh, Wu, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Subjects
e(+)-e(-) Experiments, Branching fraction, Quarkonium
Published
2022

12. Study of the processes chi(cJ) -> Xi(-)(Xi)over-bar(+) and Xi(0)(Xi)over-bar(0)

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Hn, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Lin, Cx, Lin, Dx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Gm, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Jj, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Xh, Wu, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, X, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jj, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Subjects
Branching fraction, e(+)-e(-) Experiments, QCD, Quarkonium
Published
2022

13. Search for new hadronic decays of h(c) and observation of h(c) -> p(p)over-bar eta

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Jj, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Egorov, P, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kk, He, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Hn, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, Dx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Gm, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Ma, Y, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Plura, S, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Jj, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Stieler, F, Kx, Su, Pp, Su, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Tao, Qt, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Xh, Wu, Wu, Z, Xia, L, Xiang, T, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xm, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, L, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Subjects
Particle and Resonance Production, Branching fraction, e(+)- e(-) Experiments, Quarkonium
Published
2022

14. Search for baryon- and lepton-number violating decays D-0 -> (p)over-bare(+) and D-0 -> pe(-)

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Brueggemann, A, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Yn, Gao, Y, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Yt, Gu, Guan, Cy, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Imoehl, W, Irshad, M, Jackson, J, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiang, Y, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jq, Li, Js, Li, Jw, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Ma, Y, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Y, Uman, I, Wang, B, Wang, Bl, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, Tj, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiang, T, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Y, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, H, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

15. Partial wave analysis of J/Psi -> gamma eta 'eta '

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Egorov, P, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kk, He, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Hn, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, Dx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Gm, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Plura, S, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Jj, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Stieler, F, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Xh, Wu, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xm, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

16. Observation of the double Dalitz decay eta' -> e(+)e(-)e(+)e(-)

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Amoroso, A, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Bennett, Jv, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Biernat, J, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Cheng, W, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Rb, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Sx, Du, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Fritsch, M, Cd, Fu, Fu, Y, Gao, Xl, Gao, Y, Gao, Yg, Garzia, I, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Gu, S, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, S, Han, Tt, Han, Tz, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Held, T, Heng, Yk, Himmelreich, M, Holtmann, T, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huesken, N, Hussain, T, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Jiang, Hb, Jiang, Xs, Jiang, Xy, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuehn, W, Lane, Jj, Lange, Js, Larin, P, Lavezzi, L, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Li, K, Lk, Li, Li, L, Pl, Li, Pr, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Zb, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Lz, Libby, J, Lin, Cx, Liu, B, Liu, Bj, Liu, Cx, Liu, D, Liu, Dy, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Ly, Liu, Q, Liu, Sb, Liu, T, Liu, X, Liu, Yb, Liu, Za, Liu, Zq, Long, Yf, Lou, Xc, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lusso, S, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xn, Ma, Xx, Ma, Xy, Ma, Ym, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Yj, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, Y, Papenbrock, M, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pitka, A, Poling, R, Prasad, V, Qi, H, Qi, M, Ty, Qi, Qian, S, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sarantsev, A, Savrie, M, Schelhaas, Y, Schnier, C, Schoenning, K, Shan, W, Shan, Xy, Shao, M, Shen, Cp, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Qq, Song, Yx, Sosio, S, Spataro, S, Sui, Ff, Sun, Gx, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yx, Tang, Cj, Tang, Gy, Thoren, V, Tsednee, B, Uman, I, Wang, B, Wang, Bl, Wang, Cw, Wang, Dy, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Z, Wang, Zy, Weber, T, Wei, Dh, Weidenkaff, P, Weidner, F, Wen, Hw, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, Z, Xia, L, Xiao, Sy, Xiao, Yj, Xiao, Zj, Xie, Yg, Xie, Yh, Xing, Ty, Xiong, Xa, Gf, Xu, Jj, Xu, Qj, Xu, Xu, W, Xp, Xu, Yan, L, Yan, Wb, Yan, Wc, Yang, Hj, Yang, Hx, Yang, L, Yang, Rx, Yang, Sl, Yang, Yh, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, W, Yuan, Xq, Yuan, Y, Yue, Cx, Yuncu, A, Zafar, Aa, Zeng, Y, Zhang, Bx, Zhang, Gy, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Tj, Zhang, Xy, Zhang, Y, Zhang, Yh, Zhang, Yt, Zhang, Zh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Y, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Wj, Zhu, Xl, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

17. Search for the decay D-0 -> pi(0)nu(nu)over-bar

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Brueggemann, A, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Dai, Hl, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Yn, Gao, Y, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Guan, Cy, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Imoehl, W, Irshad, M, Jackson, J, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiang, Y, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jq, Li, Js, Li, Jw, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Ma, Y, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Y, Uman, I, Wang, B, Wang, Bl, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiang, T, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Y, Xie, Yg, Xie, Yh, Xie, Zp, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Sy, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, H, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2022

18. Cross section measurement of e(+)e(-) -> p(p)over-bar eta and e(+)e(-) -> p(p)over-bar omega at center-of-mass energies between 3.773 GeV and 4.6 GeV

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Amoroso, A, An, Q, Anita, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Bennett, Jv, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Biernat, J, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, de Boer, Rb, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Sx, Du, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Fritsch, M, Cd, Fu, Fu, Y, Gao, Xl, Gao, Y, Gao, Yg, Garzia, I, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Gu, S, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, S, Han, Tt, Han, Tz, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Held, T, Heng, Yk, Himmelreich, M, Holtmann, T, Hou, Yr, Hou, Zl, Hm, Hu, Jf, Hu, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Huesken, N, Hussain, T, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Jiang, Hb, Jiang, Xs, Jiang, Xy, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavezzi, L, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Li, K, Lk, Li, Li, L, Pl, Li, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Zb, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Lz, Libby, J, Lin, Cx, Liu, B, Liu, Bj, Liu, Cx, Liu, D, Liu, Dy, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, X, Liu, Yb, Liu, Za, Liu, Zq, Long, Yf, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lusso, S, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xn, Ma, Xx, Ma, Xy, Ma, Ym, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Yj, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pitka, A, Poling, R, Prasad, V, Qi, H, Hr, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Shan, Dc, Shan, W, Shan, Xy, Shao, M, Shen, Cp, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Qq, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Sui, Ff, Sun, Gx, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Thoren, V, Tsednee, B, Uman, I, Wang, B, Wang, Bl, Wang, Cw, Wang, Dy, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Z, Wang, Zy, Wei, Dh, Weidenkaff, P, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Yj, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Xiong, Xa, Gf, Xu, Jj, Xu, Qj, Xu, Xu, W, Xp, Xu, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Rx, Yang, Sl, Yang, Yh, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, W, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Yuncu, A, Zafar, Aa, Zeng, Y, Zhang, Bx, Zhang, Gy, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Tj, Zhang, Xy, Zhang, Y, Zhang, Yh, Zhang, Yt, Zhang, Zh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Y, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Wj, Zhu, Xl, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2021

19. Determination of the Lambda(c)+ spin via the reaction e(+)e(-) -> Lambda(c)(Lambda)over-bar(c)

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Gu, S, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Held, T, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Lin, Cx, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Yj, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Yuncu, A, Zafar, Aa, Zeng, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jj, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yh, Zhang, Yt, Zhang, Zh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Y, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2021

20. Measurement of the D -> K-pi(+)pi(+)pi(-) and D -> K-pi(+)pi(0) coherence factors and average strong-phase differences in quantum-correlated D(D)over-bar decays

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Baldini Ferroli, R, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, Dy, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Xc, Dbeyssi, A, de Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Y, Gao, Yg, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Gu, S, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Husken, N, Kl, He, Heinsius, Fh, Heinz, Ch, Held, T, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Yr, Hou, Zl, Hm, Hu, Hu, Jifeng, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Li, X, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Lin, Cx, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lusso, S, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Yj, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Jj, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sui, Ff, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yk, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidenkaff, P, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Y, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Yuncu, A, Zafar, Aa, Zeng, Y, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jj, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, J, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yh, Zhang, Yt, Zhang, Zh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Y, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Subjects
e(+)-e(-) Experiments, CKM angle gamma, Charm physics
Published
2021

21. Measurement of the absolute branching fractions of J/psi -> gamma eta and eta decay modes

Author

Ablikim, M, Achasov, Mn, Adlarson, P, Ahmed, S, Albrecht, M, Aliberti, R, Amoroso, A, Mr, An, An, Q, Bai, Xh, Bai, Y, Bakina, O, Ferroli, Rb, Balossino, I, Ban, Y, Begzsuren, K, Berger, N, Bertani, M, Bettoni, D, Bianchi, F, Bloms, J, Bortone, A, Boyko, I, Briere, Ra, Cai, H, Cai, X, Calcaterra, A, Cao, Gf, Cao, N, Cetin, Sa, Chang, Jf, Chang, Wl, Chelkov, G, Chen, G, Chen, Hs, Chen, Ml, Chen, Sj, Chen, Xr, Chen, Yb, Chen, Zj, Cheng, Ws, Cibinetto, G, Cossio, F, Cui, Xf, Dai, Hl, Dai, Jp, Dai, Xc, Dbeyssi, A, De Boer, Re, Dedovich, D, Deng, Zy, Denig, A, Denysenko, I, Destefanis, M, De Mori, F, Ding, Y, Dong, C, Dong, J, Dong, Ly, Dong, My, Dong, X, Sx, Du, Fan, Yl, Fang, J, Fang, Ss, Fang, Y, Farinelli, R, Fava, L, Feldbauer, F, Felici, G, Feng, Cq, Feng, Jh, Fritsch, M, Cd, Fu, Gao, Yn, Gao, Y, Garzia, I, Pt, Ge, Geng, C, Gersabeck, Em, Gilman, A, Goetzen, K, Gong, L, Gong, Wx, Gradl, W, Greco, M, Lm, Gu, Mh, Gu, Yt, Gu, Guan, Cy, Guo, Aq, Guo, Lb, Guo, Rp, Guo, Yp, Guskov, A, Han, Tt, Han, Wy, Hao, Xq, Harris, Fa, Kl, He, Heinsius, Fh, Heinz, Ch, Heng, Yk, Herold, C, Himmelreich, M, Holtmann, T, Hou, Gy, Hou, Yr, Hou, Zl, Hm, Hu, Jf, Hu, Hu, T, Hu, Y, Huang, Gs, Huang, Lq, Huang, Xt, Huang, Yp, Huang, Z, Hussain, T, Husken, N, Andersson, Wi, Imoehl, W, Irshad, M, Jaeger, S, Janchiv, S, Ji, Q, Qp, Ji, Xb, Ji, Xl, Ji, Yy, Ji, Jiang, Hb, Jiang, Xs, Jiao, Jb, Jiao, Z, Jin, S, Jin, Y, Jing, Mq, Johansson, T, Kalantar-Nayestanaki, N, Kang, Xs, Kappert, R, Kavatsyuk, M, Bc, Ke, Keshk, Ik, Khoukaz, A, Kiese, P, Kiuchi, R, Kliemt, R, Koch, L, Kolcu, Ob, Kopf, B, Kuemmel, M, Kuessner, M, Kupsc, A, Kurth, Mg, Kuhn, W, Lane, Jj, Lange, Js, Larin, P, Lavania, A, Lavezzi, L, Lei, Zh, Leithoff, H, Lellmann, M, Lenz, T, Li, C, Ch, Li, Dm, Li, Li, F, Li, G, Li, H, Hb, Li, Hj, Li, Jl, Li, Jq, Li, Js, Li, Li, K, Lk, Li, Li, L, Pr, Li, Sy, Li, Wd, Li, Wg, Li, Xh, Li, Xl, Li, Xy, Li, Zy, Li, Liang, H, Liang, Yf, Liang, Yt, Liao, Gr, Liao, Lz, Libby, J, Limphirat, A, Lin, Cx, Lin, T, Liu, Bj, Liu, Cx, Liu, D, Liu, Fh, Liu, F, Liu, Hb, Liu, Hm, Liu, Hh, Liu, Jb, Liu, Jl, Liu, Jy, Liu, K, Liu, Ky, Liu, L, Liu, Mh, Liu, Pl, Liu, Q, Liu, Sb, Liu, S, Liu, T, Liu, Wm, Liu, X, Liu, Y, Liu, Yb, Liu, Za, Liu, Zq, Lou, Xc, Fx, Lu, Hj, Lu, Jd, Lu, Jg, Lu, Xl, Lu, Lu, Y, Yp, Lu, Luo, Cl, Luo, Mx, Luo, Pw, Luo, T, Luo, Xl, Lyu, Xr, Fc, Ma, Hl, Ma, Ll, Ma, Mm, Ma, Qm, Ma, Rq, Ma, Rt, Ma, Xx, Ma, Xy, Ma, Ma, Y, Maas, Fe, Maggiora, M, Maldaner, S, Malde, S, Malik, Qa, Mangoni, A, Mao, Yj, Mao, Zp, Marcello, S, Meng, Zx, Messchendorp, Jg, Mezzadri, G, Min, Tj, Mitchell, Re, Xh, Mo, Muchnoi, Ny, Muramatsu, H, Nakhoul, S, Nefedov, Y, Nerling, F, Nikolaev, Ib, Ning, Z, Nisar, S, Olsen, Sl, Ouyang, Q, Pacetti, S, Pan, X, Pan, Y, Pathak, A, Patteri, P, Pelizaeus, M, Peng, Hp, Peters, K, Pettersson, J, Ping, Jl, Ping, Rg, Pogodin, S, Poling, R, Prasad, V, Qi, H, Hr, Qi, Kh, Qi, Qi, M, Ty, Qi, Qian, S, Qian, Wb, Qian, Z, Qiao, Cf, Qin, Lq, Qin, Xp, Qin, Xs, Qin, Zh, Qiu, Jf, Sq, Qu, Rashid, Kh, Ravindran, K, Redmer, Cf, Rivetti, A, Rodin, V, Rolo, M, Rong, G, Rosner, C, Rump, M, Sang, Hs, Sarantsev, A, Schelhaas, Y, Schnier, C, Schoenning, K, Scodeggio, M, Shan, Dc, Shan, W, Shan, Xy, Shangguan, Jf, Shao, M, Shen, Cp, Shen, Hf, Shen, Px, Shen, Xy, Shi, Hc, Shi, Rs, Shi, X, Shi, Xd, Song, Wm, Song, Yx, Sosio, S, Spataro, S, Kx, Su, Pp, Su, Sun, Gx, Sun, Hk, Sun, Jf, Sun, L, Sun, Ss, Sun, T, Sun, Wy, Sun, X, Sun, Yj, Sun, Yz, Sun, Zt, Tan, Yh, Tan, Yx, Tang, Cj, Tang, Gy, Tang, J, Teng, Jx, Thoren, V, Tian, Wh, Tian, Yt, Uman, I, Wang, B, Wang, Cw, Wang, Dy, Wang, Hj, Wang, Hp, Wang, K, Wang, Ll, Wang, M, Wang, Mz, Wang, S, Wang, W, Wang, Wh, Wang, Wp, Wang, X, Wang, Xf, Wang, Xl, Wang, Y, Wang, Yd, Wang, Yf, Wang, Yq, Wang, Yy, Wang, Z, Wang, Zy, Wei, Dh, Weidner, F, Wen, Sp, White, Dj, Wiedner, U, Wilkinson, G, Wolke, M, Wollenberg, L, Jf, Wu, Lh, Wu, Lj, Wu, Wu, X, Wu, Z, Xia, L, Xiang, T, Xiao, H, Xiao, Sy, Xiao, Zj, Xie, Xh, Xie, Yg, Xie, Yh, Xing, Ty, Cj, Xu, Gf, Xu, Qj, Xu, Xu, W, Xp, Xu, Yc, Xu, Yan, F, Yan, L, Yan, Wb, Yan, Wc, Yan, X, Yang, Hj, Yang, Hx, Yang, L, Yang, Sl, Yang, Yx, Yang, Yf, Yang, Z, Ye, M, Mh, Ye, Yin, Jh, You, Zy, Bx, Yu, Cx, Yu, Yu, G, Js, Yu, Yu, T, Yuan, Cz, Yuan, L, Yuan, Xq, Yuan, Y, Yuan, Zy, Yue, Cx, Zafar, Aa, Zeng, Xz, Zeng, Y, Zhang, Aq, Zhang, Bx, Zhang, Gy, Zhang, H, Zhang, Hh, Zhang, Hy, Zhang, Jl, Zhang, Jq, Zhang, Jw, Zhang, Jy, Zhang, Jz, Zhang, Lm, Zhang, Lq, Zhang, L, Zhang, S, Zhang, Sf, Zhang, Sl, Zhang, Xd, Zhang, Xy, Zhang, Y, Zhang, Yt, Zhang, Yh, Zhang, Zy, Zhao, G, Zhao, J, Zhao, Jy, Zhao, Jz, Zhao, L, Zhao, Mg, Zhao, Q, Zhao, Sj, Zhao, Yb, Zhao, Yx, Zhao, Zg, Zhemchugov, A, Zheng, B, Zheng, Jp, Zheng, Yh, Zhong, B, Zhong, C, Zhou, Lp, Zhou, Q, Zhou, X, Zhou, Xk, Zhou, Xr, Zhou, Xy, Zhu, An, Zhu, J, Zhu, K, Zhu, Kj, Zhu, Sh, Zhu, Tj, Zhu, Wj, Zhu, Yc, Zhu, Za, Zou, Bs, and Zou, Jh

Published
2021

28. Elevated temperature as the dominant stressor on the harmful algal bloom-causing dinoflagellate Prorocentrum obtusidens in a future ocean scenario.

Author

Zhang WP, Wei H, Zhang SY, Zhang SF, Zhou Y, Sun WJ, Lee JS, Wang M, and Wang DZ

Subjects
Seawater chemistry, Nitrogen, Stress, Physiological, Hot Temperature adverse effects, Photosynthesis, Temperature, Carbon Dioxide, Dinoflagellida physiology, Harmful Algal Bloom, Climate Change
Abstract

Marine dinoflagellates are increasingly affected by ongoing global climate changes. While understanding of their physiological and molecular responses to individual stressors anticipated in the future ocean has improved, their responses to multiple concurrent stressors remain poorly understood. Here, we investigated the individual and combined effects of elevated temperature (26 °C relative to 22 °C), increased pCO 2 (1000 μatm relative to 400 μatm), and high nitrogen: phosphorus ratio (180:1 relative to 40:1) on a harmful algal bloom-causing dinoflagellate Prorocentrum obtusidens under short-term (28 days) exposure. Elevated temperature was the most dominant stressor affecting P. obtusidens at physiological and transcriptomic levels. It significantly increased cell growth rate and maximum photosynthetic efficiency (Fv/Fm), but reduced chlorophyll a, particulate organic carbon, particulate organic nitrogen, and particulate organic phosphorus. Elevated temperature also interacted with other stressors to produce synergistic positive effects on cell growth and Fv/Fm. Transcriptomic analysis indicated that elevated temperature promoted energy production by enhancing glycolysis, tricarboxylic acid cycle, and nitrogen and carbon assimilation, which supported rapid cell growth but reduced material storage. Increased pCO 2 enhanced the expression of genes involved in ionic acid-base regulation and oxidative stress resistance, whereas a high N:P ratio inhibited photosynthesis, compromising cell viability, although the effect was alleviated by elevated temperature. The combined effect of these multiple stressors resulted in increased energy metabolism and up-regulation of material-synthesis pathways compared to the effect caused by elevated temperature alone. Our results underscore ocean warming as the predominant stressor for dinoflagellates and highlight the complex, synergistic effects of multi-stressors on dinoflagellates., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Published
2024
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29. A 18 F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma.

Author

Yuan P, Huang ZH, Yang YH, Bao FC, Sun K, Chao FF, Liu TT, Zhang JJ, Xu JM, Li XN, Li F, Ma T, Li H, Li ZH, Zhang SF, Hu J, and Qi Y

Subjects
Humans, Male, Female, Middle Aged, Aged, Lymph Nodes diagnostic imaging, Lymph Nodes pathology, Neck diagnostic imaging, Adult, Retrospective Studies, Radiomics, Positron Emission Tomography Computed Tomography methods, Deep Learning, Fluorodeoxyglucose F18, Esophageal Squamous Cell Carcinoma diagnostic imaging, Esophageal Squamous Cell Carcinoma pathology, Lymphatic Metastasis diagnostic imaging, Esophageal Neoplasms diagnostic imaging, Esophageal Neoplasms pathology, Radiopharmaceuticals
Abstract

Background: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (DL) features extracted from 18 F-fluorodeoxyglucose ( 18 F-FDG) Positron emission tomography/Computed Tomography (PET/CT) images of tumor and cervical lymph node with clinical feature for predicting cervical lymph node metastasis (CLNM) in patients with esophageal squamous cell carcinoma (ESCC)., Methods: The study included 300 ESCC patients from the First Affiliated Hospital of Zhengzhou University who were divided into a training cohort and an internal testing cohort with an 8:2 ratio. Another 111 patients from Shanghai Chest Hospital were included as the external cohort. For each sample, we extracted 428 PET/CT-based Radiomics features from the gross tumor volume (GTV) and cervical lymph node (CLN) delineated layer by layer and 256 PET/CT-based DL features from the maximum cross-section of GTV and CLN images We input these features into seven different machine learning algorithms and ultimately selected logistic regression (LR) as the model classifier. Subsequently, we evaluated seven models (Clinical, Radiomics, Radiomics-Clinical, DL-Clinical, DL-Radiomics, DL-Radiomics-Clinical) using Radiomics features, DL features and clinical feature., Results: The DL-Radiomics-Clinical (DRC) model demonstrated higher AUC of 0.955 and 0.916 compared to the other six models in both internal and external testing cohorts respectively. The DRC model achieved the highest accuracy among the seven models in both the internal and external test sets, with scores of 0.951 and 0.892, respectively., Conclusions: Through the combination of Radiomics features and DL features from PET/CT imaging and clinical feature, we developed a predictive model exhibiting exceptional classification capabilities. This model can be considered as a non-invasive method for predication of CLNM in patients with ESCC. It might facilitate decision-making regarding to the extend of lymph node dissection, and to select candidates for postoperative adjuvant therapy., Competing Interests: Declarations Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Published
2024
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30. Salinomycin, a potent inhibitor of XOD and URAT1, ameliorates hyperuricemic nephropathy by activating NRF2, modulating the gut microbiota, and promoting SCFA production.

Author

Chen YJ, Guo ZT, Chen HQ, Zhang SF, Bao YX, Xie Z, Ke JL, Ye WJ, Liang JC, Chen JC, Li N, Zheng FX, Liao H, Wu T, and Pang JX

Subjects
Animals, Male, Mice, Kidney metabolism, Kidney drug effects, Kidney pathology, Kidney Diseases drug therapy, Kidney Diseases metabolism, Kidney Diseases pathology, Mice, Inbred C57BL, Organic Cation Transport Proteins metabolism, Uric Acid blood, Uric Acid metabolism, Gastrointestinal Microbiome drug effects, Hyperuricemia drug therapy, Hyperuricemia metabolism, NF-E2-Related Factor 2 metabolism, Organic Anion Transporters metabolism, Organic Anion Transporters antagonists & inhibitors, Pyrans pharmacology, Pyrans therapeutic use, Xanthine Oxidase metabolism, Xanthine Oxidase antagonists & inhibitors
Abstract

Long-term hyperuricemia can induce kidney damage, clinically referred to as hyperuricemic nephropathy (HN), which is characterized by renal fibrosis, inflammation, and oxidative stress. However, currently used uric acid-lowering drugs are not capable of protecting the kidneys from damage. Therefore, uric acid-lowering drugs that can also protect the kidneys are urgently needed. In this study, we first discovered that salinomycin, an antibiotic, can regulate uric acid homeostasis and ameliorate kidney damage in mice with HN. Mechanistically, salinomycin inhibited serum and hepatic xanthine oxidase (XOD) activities and downregulated renal urate transporter 1 (URAT1) expression and transport activity, thus exerting uric acid-lowering effects in mice with HN. Furthermore, we found that salinomycin promoted p-NRF2 Ser40 expression, resulting in increased nuclear translocation of NRF2 and activation of NRF2. More importantly, salinomycin affected the gut microbiota and promoted the generation of short-chain fatty acids (SCFAs) in mice with HN. In conclusion, our results revealed that salinomycin maintains uric acid homeostasis and alleviates kidney injury in mice with HN by multiple mechanisms, suggesting that salinomycin might be a desirable candidate for HN treatment in the clinic., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Published
2024
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31. Fast Determination of Propofol in Human Plasma Using C18-Functionalized Magnetic Nanomaterials Followed by Supercritical Fluid Chromatography.

Author

Liang SY, Xu XM, Wang P, Ye ML, Zhang SF, and Zhao YG

Abstract

Novel C18-functionalized magnetic nanomaterials; i.e., C18@poly-styrene-divinylbenzene-glycidyl methacrylate-Fe3O4 (C18@PS-DVB-GMA-Fe3O4) have been synthesized by using N, N-dimethyloctadecylamine as modifying agent, which could be beneficial to remove the blood phospholipids. The C18@PS-DVB-GMA-Fe3O4 nanoparticles have been used and evaluated in the Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) procedure for human plasma prior to the analysis of propofol by supercritical fluid chromatography (SFC). In the QuEChERS procedure, human plasma samples are directly mixed with extraction solvent and C18@PS-DVB-GMA-Fe3O4 nanoparticles, and the extraction and cleanup procedures have been accomplished simultaneously. The SFC separation was performed with a C18 column (Thermo Scientific™ Acclaim™ 120, 250 × 4. 6 mm, 5 μm) within 5 min, using thymol as the internal standard. Supercritical carbon dioxide was used as the mobile phase with methanol as the cosolvent at the flow rate of 1.0 mL/min. The column temperature was 38°C, and detection wavelength was 275 nm. A good linearity was obtained among the propofol concentration range of 0.5-10 mg/L (R2 = 0.9997) with the limit of detection of 0.17 mg/L. Recoveries were in the range of 76.5-91.9%, with RSD less than 7.9%. These results suggested that method is convenient, rapid with high accuracy and little matrix effect, and suitable for rapid determination of propofol plasma concentration., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2024
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32. A nickel porphyrin-based covalent organic framework modified electrode for the electrochemical detection of acetaminophen.

Author

Hou L, Jiang Y, Chen LZ, Zhang SF, Li HY, Wei MJ, Kong FY, and Wang W

Abstract

Covalent organic frameworks (COFs) can be rationally designed with functional organic ligands to improve the electrochemical responsiveness of the electrode toward certain medicinal compounds. In this study, we synthesized a COF-Ni electrocatalyst material, which is formed by covalent coupling of electron-rich 2,3,6,7-tetrakis (4-formylphenyl) tetrakis (4-imidazolyl) (TTF-4CHO) and hole-rich 5,10,15,20-tetrakis (4-aminophenyl) porphyrin nickel(II) (TAPP-Ni). The reasonable electron transfer path design, the large specific surface area of the COF and the physical properties of ordered nanopores, as well as the Ni-N 4 bond as a highly active catalytic center, allow the COF-Ni material modified electrode to exhibit excellent sensing performance for acetaminophen (ACOP). The detection limit for ACOP is as low as 47.6 nM, with a linear range of 1-1500 μM, which is better than for most of the reported sensors. With superior interference resistance and good stability performance, COF-Ni is a highly suited electrode modification material for real-world sample detection, which provided a new perspective for application of COF materials in drug analysis.

Published
2024
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33. Preparation of Magnetic Spongy Porous Carbon Skeleton Materials for Efficient Removal of BTEX.

Author

Chen LH, Chen XY, Song S, Zhang SF, Zhao YG, and Lu Y

Abstract

Magnetic polymer microspheres have been extensively utilized as separable and highly efficient adsorbents in wastewater treatment. In this study, a series of novel magnetic spongy porous carbon skeleton materials (Mag-SPCS) have been designed and synthesized by acetonitrile suspension precipitation polymerization, which combines the advantages of the acetonitrile precipitation method and the suspension polymerization method. It was demonstrated that the transformation of the material morphology from microspheres to a porous sponge was achieved by a gradual decrease in the usage amount of ethylene glycol. After N , N -dimethyloctadecylamine (C18) was grafted onto the Mag-SPCS materials, the C18-Mag-SPCS materials with a superhigh saturation adsorption capacity and superfast adsorption efficiency were used for the removal of BTEX (toluene, benzene, and para -xylene) in wastewater. Subsequently, the adsorption properties of the composites with different morphologies were evaluated, and the effect of the usage amount of C18 on the adsorption properties of the C18-Mag-SPCS was further investigated. The maximum adsorption capacities of C18-Mag-SPCS for benzene, toluene, and para -xylene were 714.84, 564.32, and 394.48 mg/g, respectively. The adsorption process was conducted in accordance with the proposed secondary and Langmuir models. Finally, the FTIR, XPS, and XRD characterization results before and after adsorption demonstrated that the adsorption mechanism of toluene onto C18-Mag-SPCS was primarily hydrogen bonding, π-π stacking, and van der Waals forces. These findings of the study indicate that the composite material exhibits an ultrahigh saturation adsorption capacity and ultrafast adsorption efficiency, thereby confirming its considerable potential for application in wastewater treatment.

Published
2024
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34. [The variables affecting the time of B-cell reconstruction in children with steroid-sensitive nephrotic syndrome treated with rituximab].

Author

Lu P, Li JT, Zhang SF, Liu YJ, Zhao GP, and Liu CH

Subjects
Humans, Female, Male, Retrospective Studies, Child, Child, Preschool, Immunosuppressive Agents therapeutic use, Immunosuppressive Agents administration & dosage, Antigens, CD19, Time Factors, Rituximab therapeutic use, Rituximab administration & dosage, Nephrotic Syndrome drug therapy, B-Lymphocytes immunology
Abstract

Objective: To investigate the factors affecting the time taken for B cell reconstitution after rituximab (RTX) treatment in children with steroid-sensitive nephrotic syndrome. Methods: This was a retrospective cohort study. The clinical data of 42 children with SSNS who received treatment with RTX in Department of Nephrology, Rheumatology and Immunology, Children's Hospital Affiliated to Zhengzhou University between December 2019 and May 2023 were analyzed retrospectively. The data of demographics, immunosuppressant treatment and laboratory tests such as CD19 + B cell count, urinary protein quantification were collected. The patients were divided into 2 groups, the early B cell reconstruction group and the late reconstruction group based on the average time of B cell reconstruction. A multivariate logistic regression model was used to analyze the factors impacting the timing of B cell reconstruction, and the predictive value of these factors was assessed by plotting the receiver operating characteristic (ROC) curve. Results: There were 42 children, with 35 males and 7 females. They were aged 3.5 (2.2, 5.9) years at the onset of PNS and (8.4±3.3) years at their first RTX treatment. The time for B cell reconstitution was (152±53) d. There were 20 children in the early reconstruction group and 22 children in the late reconstruction group. There were no statistically significant differences (all P >0.05) between the 2 groups in terms of the cumulative dose of steroids within 1 year before receiving RTX infusion (0.29 (0.16, 0.50) vs. 0.29 (0.19, 0.46) mg/(kg·d)), the percentage of children using tacrolimus before RTX (65%(13/20) vs. 45%(10/22)) and cumulative doses (0.04 (0.03, 0.05) vs. 0.03 (0.03, 0.06) mg/(kg·d)), the steroid doses at the time of RTX infusion (0.73 (0.49, 0.90) vs. 0.71 (0.58, 0.89) mg/(kg·d)), the percentage of children using tacrolimus at the initial RTX infusion (50% (10/20) vs. 41% (9/22)) and the doses (0.03 (0.02, 0.04) vs. 0.02 (0.01, 0.04) mg/(kg·d)), the discontinuation time of tacrolimus post-RTX infusion (71 (42, 91) vs. 64 (42, 91) d). A multivariate analysis revealed a correlation ( OR =0.26, 95% CI 0.10-0.68, P =0.006) between B cell count following the second RTX infusion and the time taken for B cell reconstruction. The area under the ROC curve for B cell count after the RTX infusion in predicting the time to B cell reconstruction was 0.89 (95% CI 0.78-0.99, P <0.001) and the cut-off value was 0.925×10 6 /L. Conclusions: The time of B cell reconstruction is not influenced by the previous or concurrent use of tacrolimus, regardless of its duration and the dosage of steroid and tacrolimus prior to the RTX infusion. Insteadly, the peripheral blood B cell count (0.925×10 6 /L) following the second RTX infusion for SSNS is identified as an independent predictor of reconstruction time, allowing for a more precise prediction and early intervention to maintain disease remission.

Published
2024
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35. Autoimmune astrocytopathy double negative for AQP4-IgG and GFAP-IgG: Retrospective research of clinical practice, biomarkers, and pathology.

Author

Lin PH, Yao HY, Huang L, Fu CC, Yao XL, Lian C, Zhang SF, Lai WD, Lin GY, Liao S, Yang J, Mao ZF, Liu D, Long BY, Yue JJ, Gao C, and Long YM

Subjects
Humans, Female, Male, Middle Aged, Retrospective Studies, Adult, Aged, Neurofilament Proteins cerebrospinal fluid, Neurofilament Proteins blood, Autoantibodies cerebrospinal fluid, Autoantibodies blood, Young Adult, Adolescent, Glial Fibrillary Acidic Protein cerebrospinal fluid, Glial Fibrillary Acidic Protein immunology, Aquaporin 4 immunology, Astrocytes immunology, Astrocytes metabolism, Astrocytes pathology, Biomarkers cerebrospinal fluid, Biomarkers blood, Immunoglobulin G cerebrospinal fluid, Immunoglobulin G blood
Abstract

Objective: The objective of this study is to investigate the presence of astrocyte antibodies in patients, excluding aquaporin-4 or glial fibrillary acidic protein (GFAP) antibodies, while evaluating associated biomarkers and pathologies., Methods: Patient serum and cerebrospinal fluid (CSF) were tested for antibodies using tissue- and cell-based assays. Neurofilament light chain (NFL) and GFAP in the CSF were detected using single-molecule array (SIMOA)., Results: 116 patients accepted SIMOA. Fifteen functional neurological disorders patients without antibodies were designated as controls. Thirty-five patients were positive for astrocyte antibodies (Anti-GFAP: 7; Anti-AQP4: 7; unknown antibodies: 21, designed as the double-negative group, DNAP). The most frequent phenotype of DNAP was encephalitis (42.9%), followed by myelitis (23.8%), movement disorders (19.0%), and amyotrophic lateral sclerosis-like (ALS-like) disease (14.2%). The levels of CSF GFAP and NFL in DNAP were higher than in the control (GFAP: 1967.29 [776.60-13214.47] vs 475.38 [16.80-943.60] pg/mL, p < 0.001; NFL: 549.11 [162.08-2462.61] vs 214.18 [81.60-349.60] pg/mL, p = 0.002). GFAP levels decreased in DNAP (n = 5) after immunotherapy (2446.75 [1583.45-6277.33] vs 1380.46 [272.16-2005.80] pg/mL, p = 0.043), while there was no difference in NFL levels (2273.78 [162.08-2462.61] vs 890.42 [645.06-3168.06] pg/mL, p = 0.893). Two brain biopsy patterns were observed: one exhibited prominent tissue proliferation and hypertrophic astrocytes, with local loss of astrocytes, while the other showed severe astrocyte depletion with loss of neurofilaments around the vessels. Eighteen patients received immunotherapy, and improved except one with ALS-like symptoms. We identified anti-vimentin in this patient., Discussion: There are unidentified astrocyte antibodies. The manifestations of double-negativity are heterogeneous; nevertheless, the pathology and biomarkers remain consistent with astrocytopathy. Immunotherapy is effective., (© 2024 The Author(s). CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.)

Published
2024
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36. Efficacy and Safety of Sanjie Analgesic Capsule in Patients with Endometriosis-Associated Pain: A Multicenter, 3:1 Randomized, Double-Blind, Placebo-Controlled Trial.

Author

Leng JH, Duan H, Guan Z, Zhou YF, Qu H, Xu KH, Zhang SF, Zhang Q, Wang X, Lin KQ, and Lang JH

Subjects
Humans, Female, Double-Blind Method, Adult, Treatment Outcome, Dysmenorrhea drug therapy, Pain drug therapy, Pain etiology, Pelvic Pain drug therapy, Pelvic Pain etiology, Pain Measurement, Young Adult, Placebos, Endometriosis drug therapy, Endometriosis complications, Drugs, Chinese Herbal therapeutic use, Drugs, Chinese Herbal adverse effects, Analgesics therapeutic use, Analgesics adverse effects, Capsules
Abstract

Objective: To assess the efficacy and safety of Sanjie Analgesic Capsule (SAC) in Chinese patients with endometriosis-associated pain., Methods: This was a multicenter, randomized, double-blind, placebo-controlled trial conducted at 15 centers between November 2013 and July 2017 in China. Eligible 323 patients with endometriosis were randomized at a 3:1 ratio to the SAC group (241 cases) and placebo group (82 cases) by stratified block randomization. Patients in the SAC or placebo groups were given SAC or placebo 1.6 g 3 times per day, orally, respectively since the first day of menstruation for 3 consecutive menstrual cycles. The primary endpoint was clinical response to dysmenorrhea evaluated using a 10-point Visual Analogue Scale at 3 and 6 months. The secondary endpoint was the pain score evaluated by VAS (chronic pelvic pain, defecation pain, and dyspareunia) at 3 and 6 months, and the pain recurrence rate at 6 months. Adverse events (AEs) were recorded during the study., Results: A total of 241 women were included in the SAC group, and 82 were in the placebo group. Among these women, 217 (90.0%) and 71 (86.6%) completed the intervention, respectively. At 3 months, overall response rate (ORR) was significantly higher in women administered SAC (80.1%) compared with those who received a placebo (30.5%, P<0.01). Six months after treatment, the ORR for dysmenorrhea was 62.7% in the SAC group and 31.7% in the placebo group (P<0.01). Chronic pelvic pain and defecation pain were significantly improved by SAC compared with placebo (both P<0.05). The incidence rates of total AEs events in the SAC and placebo groups were 6.6% and 9.8%, respectively, and no significant difference was shown between the two groups (P=0.339)., Conclusion: SAC is well-tolerated and may improve dysmenorrhea in women with endometriosis-associated pain. (Trial registration: ClinicalTrials.gov, No. NCT02031523)., (© 2024. The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature.)

Published
2024
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37. Mapping the intellectual structure and landscape of colorectal cancer immunotherapy: A bibliometric analysis.

Author

Ou QL, Chang YL, Liu JH, Yan HX, Chen LZ, Guo DY, and Zhang SF

Subjects
Humans, Bibliometrics, China, Immune Checkpoint Inhibitors, Tumor Microenvironment, Immunotherapy, Colorectal Neoplasms therapy
Abstract

Immunotherapy, particularly immune checkpoint inhibitor (ICIs) therapy, stands as an innovative therapeutic approach currently garnering substantial attention in cancer treatment. It has become a focal point of numerous studies, showcasing significant potential in treating malignancies, including lung cancer and melanoma. The objective of this research is to analyze publications regarding immunotherapy for colorectal cancer (CRC), investigating their attributes and identifying the current areas of interest and cutting-edge advancements. We took into account the publications from 2002 to 2022 included in the Web of Science Core Collection. Bibliometric analysis and visualization were conducted using CiteSpace, VOSviewer, R-bibliometrix, and Microsoft Excel. The quantity of publications associated with this domain has been steadily rising over the years, encompassing 3753 articles and 1498 reviews originating from 573 countries and regions, involving 19,166 institutions, 1011 journals, and 32,301 authors. In this field, China, the United States, and Italy are the main countries that come forward for publishing. The journal with the greatest impact factor is CA-A Cancer Journal for Clinicians . Romain Cohen leads in the number of publications, while Le Dt stands out as the most influential author. The immune microenvironment and immune infiltration are emerging as key hotspots and future research directions in this domain. This research carries out an extensive bibliometric examination of immunotherapy for colorectal cancer, aiding researchers in understanding current focal points, investigating possible avenues for research, and recognizing forthcoming development trends.

Published
2024
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38. Time Division Colorful Multiplexing Based on Carbon Nanodots with Modifiable Colors and Lifetimes.

Author

Jiang LY, Zhou YC, Zhang SF, Shao HC, and Liang YC

Abstract

Optical multiplexing technology plays a crucial role in various fields such as data storage, anti-counterfeiting, and time-resolved biological imaging. Nevertheless, employing single-wavelength phosphorescence for multiplexing often results in spectral overlap among the emission peaks of various channels, which can precipitate crosstalk and misinterpretation in the information-decoding process, thereby compromising the integrity and precision of the encrypted data. This paper proposes a time-divided colorful multiplexing technology based on phosphorescent carbon nanodots with different colors and lifetimes. Using different luminescence colors to symbolize varying information levels helps achieve multitiered information encryption and storage. By modulation of the lifetime and the emission wavelength, intricate information can be encoded, thereby enhancing the intricacy and security of the encryption mechanism. By assigning different data bits to each color, more information can be encoded in the same physical space. This method enables higher-density information storage and fortifies encryption, ensuring the compactness and security of information.

Published
2024
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39. Fuzheng Huayu recipe inhibits bleomycin-induced pulmonary fibrosis in rats by inhibiting M2 polarization of macrophages via the oxidative phosphorylation pathway.

Author

Yuan XH, Zhang SF, Hang Y, Shen YH, Zhang SF, Huang WL, Huang JY, Qian YC, Zhang XL, Li QH, and Li L

Abstract

Fuzheng Huayu recipe (FZHYR) is a Chinese patent medicine for the treatment of fibrosis. The effects of FZHYR on pulmonary fibrosis and macrophage polarization were investigated in vitro . FZHYR inhibited pulmonary inflammation and fibrosis and M2 polarization of macrophages in bleomycin-induced pulmonary fibrosis (BPF) of rat model. Differentially expressed genes were screened by high-throughput mRNA sequencing and GSEA showed that oxidative phosphorylation (OXPHOS) was correlated with BPF. FZHYR inhibited expressions of Ndufa2 and Ndufa6 in lung tissues of BPF rats. These findings suggest that OXPHOS pathway serves as a possible target for pulmonary fibrosis therapy by FZHYR.

Published
2024
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40. Mikulicz's disease combined with IgG4-related hypophysitis: a case report.

Author

Zhang SF, Deng J, Xiao J, and Wu BH

Subjects
Humans, Aged, Female, Immunoglobulin G blood, Prednisolone therapeutic use, Prednisolone administration & dosage, Magnetic Resonance Imaging methods, Mikulicz' Disease drug therapy, Mikulicz' Disease complications, Mikulicz' Disease diagnosis, Immunoglobulin G4-Related Disease complications, Immunoglobulin G4-Related Disease drug therapy, Immunoglobulin G4-Related Disease diagnosis, Autoimmune Hypophysitis complications, Autoimmune Hypophysitis drug therapy
Abstract

Background: IgG4-related diseases are very uncommon, and its diagnosis and treatment are complicated as it encompasses multiple disciplines., Case Presentation: A 77-year-old woman was admitted with a jaw mass and nausea and vomiting. Laboratory tests showed elevated serum IgG4, pituitary MRI suggested thickening of the pituitary stalk, and head and neck CT suggested orbital and mandibular masses. Patients with mandibular mass were diagnosed with Mikulicz's disease with IgG4-related hypophysitis. We found no other evidence of causing thickening of the pituitary stalk. She was given oral prednisolone 30 mg daily, and her nausea and vomiting improved significantly, and the mandibular and ocular masses decreased in size., Conclusion: Mikulicz's disease combined with IgG4-related hypophysitis is a rare case of IgG4-RD in elderly women. IgG4-RD is one of the causes of head and neck exocrine gland mass and pituitary stalk thickening in the elderly., (© 2024. The Author(s).)

Published
2024
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41. Refractory autoimmune hemolytic anemia in a patient with systemic lupus erythematosus and ulcerative colitis: A case report.

Author

Chen DX, Wu Y, Zhang SF, and Yang XJ

Abstract

Background: Ulcerative colitis (UC) and systemic lupus erythematosus (SLE) are both systemic immunoreactive diseases, and their pathogenesis depends on the interaction between genes and environmental factors. There are no reports of UC with SLE in China, but six cases of SLE with UC have been reported in China. The combination of these two diseases has distinct effects on the pathogenesis of both diseases., Case Summary: A female patient (30 years old) came to our hospital due to dull umbilical pain, diarrhea and mucous bloody stool in August 2018 and was diagnosed with UC. The symptoms were relieved after oral administration of mesalazine (1 g po tid) or folic acid (5 mg po qd), and the patient were fed a control diet. On June 24, 2019, the patient was admitted for treatment due to anemia and tinnitus. During hospitalization, the patient had repeated low-grade fever and a progressively decreased Hb level. Blood tests revealed positive antinuclear antibody test, positive anti-dsDNA antibody, 0.24 g/L C3 (0.9-1.8 g/L), 0.04 g/L C4 (0.1-0.4 g/L), 32.37 g/L immunoglobulin (8-17 g/L), and 31568.1 mg/24 h total 24-h urine protein (0-150 mg/24 h). The patient was diagnosed with SLE involving the joints, kidneys and blood system. Previously reported cases of SLE were retrieved from PubMed to characterize clinicopathological features and identify prognostic factors for SLE., Conclusion: The patient was discharged in remission after a series of treatments, such as intravenous methylprednisolone sodium succinate, intravenous human immunoglobulin, cyclophosphamide injection, and plasma exchange. After discharge, the patient took oral prednisone acetate tablets, cyclosporine capsules, hydroxychloroquine sulfate tablets and other treatments for symptoms and was followed up regularly for 1 month, after which the patient's condition continued to improve and stabilize., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2024
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42. Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.

Author

Liu SL, Ding YN, Zhang JR, Liu KY, Zhang SF, Wang FL, and Huang G

Abstract

Graph convolutional networks (GCNs) have been widely used in skeleton-based action recognition. However, existing approaches are limited in fine-grained action recognition due to the similarity of interclass data. Moreover, the noisy data from pose extraction increase the challenge of fine-grained recognition. In this work, we propose a flexible attention block called channel-variable spatial-temporal attention (CVSTA) to enhance the discriminative power of spatial-temporal joints and obtain a more compact intraclass feature distribution. Based on CVSTA, we construct a multidimensional refinement GCN (MDR-GCN) that can improve the discrimination among channel-, joint-, and frame-level features for fine-grained actions. Furthermore, we propose a robust decouple loss (RDL) that significantly boosts the effect of the CVSTA and reduces the impact of noise. The proposed method combining MDR-GCN with RDL outperforms the known state-of-the-art skeleton-based approaches on fine-grained datasets, FineGym99 and FSD-10, and also on the coarse NTU-RGB + D 120 dataset and NTU-RGB + D X-view version. Our code is publicly available at https://github.com/dingyn-Reno/MDR-GCN.

Published
2024
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43. A high resolution reaction microscope with universal two-region time-focusing method.

Author

Gao Y, Cao T, Lin KZ, Guo DL, Zhang SF, Zhu XL, Zhang RT, Yan SC, Xu S, Zhao DM, and Ma X

Abstract

This paper presents a novel reaction microscope designed for ion-atom collision investigations, established at the Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China. Its time-of-flight (TOF) spectrometer employs an innovative flight-time focusing method consisting of two acceleration regions, providing optimal time focusing conditions for charged fragments with diverse initial velocities. The TOF spectrometer's axis intentionally tilts by 12° relative to the ion beam direction, preventing potential obstructions from the TOF grid electrodes. The introduced focusing method allows for a flexible time-focusing TOF spectrometer design without restricting the length ratio of the two regions. In addition, this configuration in our case significantly suppresses noise on the recoil ion detector produced by residual gas in the ion beam trajectory, which is a considerable challenge in longitudinal spectrometers. In a test experiment on the single electron capture reaction involving 62.5 keV/u He2+ ions and a helium atomic beam, the recoil longitudinal momentum resolution achieved 0.068 atomic units. This novel configuration and successful test run show excellent precision for ion-atom collision studies., (© 2024 Author(s). Published under an exclusive license by AIP Publishing.)

Published
2024
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44. Jianpi Gushen Huayu decoction ameliorated diabetic nephropathy through modulating metabolites in kidney, and inhibiting TLR4/NF-κB/NLRP3 and JNK/P38 pathways.

Author

Ma ZA, Wang LX, Zhang H, Li HZ, Dong L, Wang QH, Wang YS, Pan BC, Zhang SF, Cui HT, and Lv SQ

Abstract

Background: Jianpi Gushen Huayu Decoction (JPGS) has been used to clinically treat diabetic nephropathy (DN) for many years. However, the protective mechanism of JPGS in treating DN remains unclear., Aim: To evaluate the therapeutic effects and the possible mechanism of JPGS on DN., Methods: We first evaluated the therapeutic potential of JPGS on a DN mouse model. We then investigated the effect of JPGS on the renal metabolite levels of DN mice using non-targeted metabolomics. Furthermore, we examined the effects of JPGS on c-Jun N-terminal kinase (JNK)/P38-mediated apoptosis and the inflammatory responses mediated by toll-like receptor 4 (TLR4)/nuclear factor-kappa B (NF-κB)/NOD-like receptor family pyrin domain containing 3 (NLRP3)., Results: The ameliorative effects of JPGS on DN mice included the alleviation of renal injury and the control of inflammation and oxidative stress. Untargeted metabolomic analysis revealed that JPGS altered the metabolites of the kidneys in DN mice. A total of 51 differential metabolites were screened. Pathway analysis results indicated that nine pathways significantly changed between the control and model groups, while six pathways significantly altered between the model and JPGS groups. Pathways related to cysteine and methionine metabolism; alanine, tryptophan metabolism; aspartate and glutamate metabolism; and riboflavin metabolism were identified as the key pathways through which JPGS affects DN. Further experimental validation showed that JPGS treatment reduced the expression of TLR4/NF-κB/NLRP3 pathways and JNK/P38 pathway-mediated apoptosis related factors., Conclusion: JPGS could markedly treat mice with streptozotocin (STZ)-induced DN, which is possibly related to the regulation of several metabolic pathways found in kidneys. Furthermore, JPGS could improve kidney inflammatory responses and ameliorate kidney injuries in DN mice via the TLR4/NF-κB/NLRP3 pathway and inhibit JNK/P38 pathway-mediated apoptosis in DN mice., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2024
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45. A multifunctional biomimetic nanoplatform for image-guideded photothermal-ferroptotic synergistic osteosarcoma therapy.

Author

Liu YJ, Dong SH, Hu WH, Chen QL, Zhang SF, Song K, Han ZC, Li MM, Han ZT, Liu WB, and Zhang XS

Abstract

Much effort has been devoted to improving treatment efficiency for osteosarcoma (OS). However, most current approaches result in poor therapeutic responses, thus indicating the need for the development of other therapeutic options. This study developed a multifunctional nanoparticle, PDA-MOF-E-M, an aggregation of OS targeting, programmed death targeting, and near-infrared (NIR)-aided targeting. At the same time, a multifunctional nanoparticle that utilises Fe-MOFs to create a cellular iron-rich environment and erastin as a ferroptosis inducer while ensuring targeted delivery to OS cells through cell membrane encapsulation is presented. The combination of PDA-MOF-E-M and PTT increased intracellular ROS and LPO levels and induced ferroptosis-related protein expression. A PDA-based PTT combined with erastin showed significant synergistic therapeutic improvement in the anti-tumour efficiency of the nanoparticle in vitro and vivo. The multifunctional nanoparticle efficiently prevents the osteoclasia progression of OS xenograft bone tumors in vivo. Finally, this study provides guidance and a point of reference for clinical approaches to treating OS., Competing Interests: We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, ‘A multifunctional biomimetic nanoplatform for image-guideded photothermal-ferroptotic synergistic osteosarcoma therapy’., (© 2024 The Authors.)

Published
2024
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46. Comparative long-term outcomes of natural orifice specimen extraction surgery and conventional laparoscopic colectomy for left-sided colorectal cancer: a propensity score-matched analysis.

Author

Xu SZ, Wang ZF, Ding ZJ, Zhang SF, Yuan SB, Yan F, Liu GY, and Cai JC

Subjects
Humans, Retrospective Studies, Propensity Score, Pain, Postoperative, Colectomy adverse effects, Colectomy methods, Treatment Outcome, Laparoscopy adverse effects, Laparoscopy methods, Colorectal Neoplasms surgery
Abstract

Background: Natural orifice specimen extraction surgery (NOSES) is currently widely used in left-sided colorectal cancer. Some clinical comparative studies have been conducted, providing evidence of its safety and oncological benefits. However, these studies are typically characterized by small sample sizes and short postoperative follow-up periods. Consequently, in this research, the authors adopt the propensity score matching method to undertake a large-scale retrospective comparative study on NOSES colectomy for left-sided colorectal cancer, with the goal of further augmenting the body of evidence-based medical support for NOSES., Methods: This retrospective study involved patients who underwent NOSES colectomy and conventional laparoscopic (CL) colectomy for left-sided colorectal cancer between January 2014 and April 2021. In the NOSES group, specimens were extracted through the anus with the help of a Cai tube (homemade invention: ZL201410168748.2). The patients were matched at a ratio of 1:1 according to age, sex, BMI, tumor diameter, tumor location (descending and splenic flexure colon/ sigmoid colon/ middle and upper rectum), tumor height from anal verge, ASA grade, previous abdominal surgery, clinical pathologic stage, preoperative CEA. After matching, 132 patients in the NOSES group and 132 patients in the CL group were eligible for analysis., Results: Compared with CL group, NOSES group was associated with decreased postoperative maximum pain score (2.6±0.7 vs. 4.7±1.7, P=0.000), less additional analgesia required (6.8 vs. 34.8%, P=0.000), faster time to passage of flatus (2.3±0.6 days vs. 3.3±0.7 days, P=0.000), less wound infection (0.0 vs. 6.1%, P=0.007), and longer operative time (212.5±45.8 min vs. 178.0±43.4 min, P=0.000). No significant differences were observed in estimated blood loss, time to resume regular diet, postoperative hospital stay, conversion to open surgery or conventional minilaparotomy, total morbidity, readmission, mortality, pathologic outcomes, and Wexner incontinence score between groups. After a median follow-up of 63.0 months, the 5-year overall survival rates were 88.3 versus 85.0% (P=0.487), disease-free survival rates were 82.9 versus 83.6% (P=0.824), and the local recurrence rates were 4.4 versus 4.0% (P=0.667) in the NOSES and CL groups, respectively., Conclusions: This study suggests that NOSES colectomy using a Cai tube for left-sided colorectal cancer is a safe and feasible option with better cosmetic results, less pain, faster recovery of gastrointestinal function, and comparable long-term clinical and oncologic outcomes to CL colectomy., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Published
2024
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47. Jianpi Jiedu decoction reverses 5-fluorouracil resistance in colorectal cancer by suppressing the xCT/GSH/GPX4 axis to induce ferroptosis.

Author

Ou QL, Cheng L, Chang YL, Liu JH, and Zhang SF

Abstract

Introduction: Innate and acquired chemoresistance in colorectal cancer (CRC) often results in 5-fluorouracil (5-FU) treatment failure. This study aimed to investigate the potential of Jianpi Jiedu (JPJD) decoction to reverse 5-FU resistance in CRC and clarify its potential mechanism of action., Methods: The CCK-8 assay was employed to assess cell activity. Flow cytometry was employed to assess various parameters including cell apoptosis, cell cycle distribution, P-glycoprotein (P-gp) activity, reactive oxygen species levels, and lipid peroxidation. Metabolomics analysis was conducted to identify differentially expressed metabolites. Western blotting was utilized for protein expression analysis., Results: In this study, we demonstrated that the combined JPJD and 5-FU treatment reversed 5-FU resistance in HCT8/5-FU cells, inducing cell apoptosis, causing G2/M-phase cell cycle arrest, and reducing P-gp protein expression and activity. Metabolomics analysis revealed ferroptosis as a key pathway in the development of 5-FU resistance. Furthermore, the combination treatment reversed drug resistance primarily by impacting ferroptosis and triggering critical ferroptosis events through the suppression of the cystine/glutamate transporter (xCT)/glutathione (GSH)/glutathione peroxidase (GPX4) axis., Conclusion: JPJD decoction primarily suppressed the xCT/GSH/GPX4 axis to trigger ferroptosis, thereby effectively reversing 5-FU resistance in colorectal cancer (CRC)., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Published
2024
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48. Identification of Dementia & Mild Cognitive Impairment in Chinese Elderly Using Machine Learning.

Author

Ying TT, Zhuang LY, Xu SH, Zhang SF, Huang LJ, Gao WW, Liu L, Lai QL, Lou Y, and Liu XL

Subjects
Humans, Female, Aged, Male, China, Aged, 80 and over, Neuropsychological Tests standards, Neuropsychological Tests statistics & numerical data, East Asian People, Cognitive Dysfunction diagnosis, Machine Learning, Dementia diagnosis
Abstract

Objective: To assess the role of Machine Learning (ML) in identification critical factors of dementia and mild cognitive impairment., Methods: 371 elderly individuals were ultimately included in the ML analysis. Demographic information (including gender, age, parity, visual acuity, auditory function, mobility, and medication history) and 35 features from 10 assessment scales were used for modeling. Five machine learning classifiers were used for evaluation, employing a procedure involving feature extraction, selection, model training, and performance assessment to identify key indicative factors., Results: The Random Forest model, after data preprocessing, Information Gain, and Meta-analysis, utilized three training features and four meta-features, achieving an area under the curve of 0.961 and a accuracy of 0.894, showcasing exceptional accuracy for the identification of dementia and mild cognitive impairment., Conclusions: ML serves as a identification tool for dementia and mild cognitive impairment. Using Information Gain and Meta-feature analysis, Clinical Dementia Rating (CDR) and Neuropsychiatric Inventory (NPI) scale information emerged as crucial for training the Random Forest model., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Published
2024
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49. Madecassoside alleviates acute kidney injury by regulating JNK-mediated oxidative stress and programmed cell death.

Author

Shan RR, Yu JT, Zhang SF, Xie MM, Hou R, Xie CY, Dong ZH, Yang Q, Hu XW, Dong YH, Zhang Y, Luo XF, Cui ZY, Liu XY, Xie YC, Wen JG, Liu MM, Jin J, Chen Q, and Meng XM

Subjects
Humans, Mice, Animals, Cisplatin adverse effects, Caco-2 Cells, Molecular Docking Simulation, Apoptosis, Kidney, Oxidative Stress, Ischemia, Inflammation metabolism, Hypoxia, Mice, Inbred C57BL, Acute Kidney Injury chemically induced, Reperfusion Injury drug therapy, Reperfusion Injury metabolism, Triterpenes
Abstract

Background: Acute kidney injury (AKI) has high morbidity and mortality, which is manifested by inflammation and apoptosis. Effective treatment methods for AKI are currently lacking., Objective: This study demonstrated the protecting effects of Madecassoside (MA) in the cisplatin- and hypoxia-reoxygenation-induced renal tubular epithelial cells in vitro and AKI mice in vivo., Methods: In vivo AKI mouse models were established by inducing them with cisplatin and renal ischemia-reperfusion. In vitro injury models of mouse renal tubular epithelial cells were established by inducing them with cisplatin and hypoxia and reoxygenation, respectively. The mechanism of MA effects was further explored using molecular docking and RNA-sequencing., Results: MA could significantly reduce kidney injury in the cisplatin-and renal ischemia-reperfusion (IRI)-induced AKI. Further validation in the two cellular models also showed that MA had protect effects. MA can alleviate AKI in vitro and in vivo by inhibiting inflammation, cell apoptosis, and oxidative stress. MA exhibited high permeability across the Caco-2 cell, can enter cells directly. Through RNA-seq and molecular docking analysis, this study further demonstrated that MA inhibits its activity by directly binding to JNK kinase, thereby inhibiting c-JUN mediated cell apoptosis and improving AKI. In addition, MA has better renal protective effects compared to curcumin and JNK inhibitor SP600125., Conclusion: The results demonstrate that MA might be a potential drug for the treatment of AKI and act through the JNK/c-JUN signaling pathway., Competing Interests: Declaration of Competing Interest We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted., (Copyright © 2023. Published by Elsevier GmbH.)

Published
2024
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50. Multiple sparganosis spinal infections mainly in the thoracic region: A case report.

Author

Wen GJ, Chen J, Zhang SF, Zhou ZS, and Jiao GL

Abstract

Background: Spinal infection with sparganosis is rarely seen, and multiple spinal infections with sparganosis in the thoracic spine have not been reported., Case Summary: In this case report, a 56-year old male patient suffered from back pain for 3 mo. Computed tomography examination of the thoracic spine showed bone destruction of the T4-5 vertebral body, as well as the right pedicle and lamina of T5. Magnetic resonance imaging showed high signals on T2W1 images and fat-suppressed images in the right vertebral body of T4-5 and the right pedicle and lamina of T5, a high signal in the vertebral canal, and similar high signals in the paravertebral and subcutaneous regions of the whole spine. Puncture biopsy showed sparganosis. Following definite diagnosis, the patient was treated with debridement of T4-5 infected lesions under a microscope, bone grafting and internal fixation. Postoperatively, the patient's back pain symptoms were significantly relieved; the incision healed after one-stage treatment, and albendazole antiparasitic treatment was administered., Conclusion: Puncture biopsy is the most reliable method to diagnose infection by sparganum. Removal of infected lesions under the microscope and albendazole for antiparasitic treatment are safe and effective., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2023
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