1
|
Yang S, Jiang Y, Jin YM, Sun L, Li Y. [Explore the safety and efficiency of mild myopia retention in patients with myopia and presbyopia]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2024; 60:674-679. [PMID: 39085157 DOI: 10.3760/cma.j.cn112142-20240324-00134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
Objective: To explore the corrective effects of a personalized corneal refractive surgery design that retains mild myopia in patients over 40 years old with refractive errors and presbyopia. Methods: A retrospective case series study was conducted, including 60 patients (120 eyes) over 40 years old who underwent corneal refractive surgery at Peking Union Medical College Hospital l from January 2023 to December 2023. The patients were divided into two groups based on their preference: Group A (retained mild myopia) and Group B (fully corrected), with 30 patients (60 eyes) in each group. Preoperative and postoperative visual acuity, subjective refraction, slit-lamp examination, corneal topography, and intraocular pressure were assessed at 1 day, 1 week, 1 month, 3 months, 6 months, and 12 months after surgery. The effectiveness and safety indices were calculated based on visual acuity before and after surgery. The National Eye Institute Refractive Quality of Life questionnaire was used to evaluate patient satisfaction and postoperative visual symptoms. Results: There were no significant differences in preoperative uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), spherical equivalent (SE), corneal thickness, and intraocular pressure between the two groups (all P>0.05). At the final follow-up, the proportions of eyes with UDVA≥0.8 and≥1.0 were 93.3% (56/60) and 60.0% (36/60) in Group A, and 100% (60/60) and 83.3% (50/60) in Group B, respectively. The SE was significantly different between Group A [(-0.35±0.52) D] and Group B [(-0.07±0.55) D] (P<0.05). Near visual acuity was better in Group A than in Group B (P<0.05). The effectiveness indices were 0.96±0.23 and 0.99±0.12, and the safety indices were 1.02±0.11 and 1.02±0.07 for Groups A and B, respectively. Both groups had high overall satisfaction, but Group A had higher scores for near vision, reading, and computer screen viewing. Conclusion: The personalized corneal refractive surgery design that retains mild myopia provides good corrective effects for patients over 40 years old with refractive errors, improving patient satisfaction and quality of life.
Collapse
|
2
|
Onuoha O, Brown K, Jiang Y, Orlando B. Non-targeted serial epidural blood patches for the treatment of intracranial hypotension headache during late pregnancy: a case report. Int J Obstet Anesth 2024; 59:103996. [PMID: 38719763 DOI: 10.1016/j.ijoa.2024.103996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 04/08/2024] [Indexed: 07/07/2024]
Abstract
Intracranial hypotension can cause persistent and severe orthostatic headaches. It is often the result of cerebrospinal fluid leakage secondary to iatrogenic causes. It can also happen spontaneously. Diagnosing and managing severe orthostatic headaches associated with intracranial hypotension can be challenging, particularly during late pregnancy. This case describes a parturient at 30 weeks' gestation who presented with severe headaches due to intracranial hypotension caused by dural defects and cerebrospinal fluid venous fistula. She was managed with serial non-targeted epidural blood patching as a bridging remedy. This allowed further fetal maturity before delivery and definitive management of the dural leakage after delivery.
Collapse
|
3
|
Du X, Zhang M, Zhang S, Yan X, Wang L, Zhang Z, Li N, Yu L, Jiang Y. The differences between sinonasal respiratory epithelial adenomatoid hamartoma and nasal polyps: insights into immunopathology. Rhinology 2024; 62:488-495. [PMID: 38762784 DOI: 10.4193/rhin23.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
BACKGROUND Respiratory epithelial adenomatoid hamartoma (REAH) is a benign lesion commonly occurring in the nasal cavity and sinuses. It is often accompanied by nasal polyps (NP). While the histological features of these two conditions have been studied, there is limited knowledge about their differences in the underlying immunopathology. METHODS Nasal tissue specimens were collected from 8 patients with concurrent REAH and NP and 10 controls. The expression levels of inflammatory cytokines, tight junctions (TJ), and epithelial-mesenchymal transition (EMT)-related factors in the tissues were analyzed. The mRNA expression of the aforementioned factors was measured using qRT-PCR, while the expression of TJ and EMT-related proteins was analyzed through Western blotting and immunohistochemistry. RESULTS Compared to the control group, levels of inflammatory cytokines (IFN-α, IL-5, IL-17A, IL-31, IL-33, and TNF-α) and EMT-related factors (α-SMA, COL1A1, MMP9, TGF-β1, and Vimentin) were significantly increased in both REAH and NP tissues. Conversely, E-Cadherin and TJ-related factors (Claudin-4 and Occludin) significantly decreased. When comparing REAH with NP, it was observed that the expression of IL-4, IL-5, and IL-33 was lower in REAH, while TNF-ɑ; was higher. Regarding TJ-related factors, the expression of Occludin was lower in REAH. Furthermore, in terms of EMT-related factors, except for E-Cadherin, the expressions of ɑ-SMA, COL1A1, CTGF, MMP9, TGF-β11, and Vimentin were higher in REAH. CONCLUSION REAH and NP exhibit different immunopathological mechanisms. NP demonstrates a more severe inflammatory response, whereas REAH is characterized by a more pronounced TJ and EMT breakdown than NP.
Collapse
|
4
|
Liu W, Lv Y, Zhang L, Jiang Y, Liu S, Wang Z, Zhang J, He M. The gene CmPYL6 strongly contributes to cold tolerance in oriental melon. PLANT BIOLOGY (STUTTGART, GERMANY) 2024. [PMID: 39032145 DOI: 10.1111/plb.13692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 06/19/2024] [Indexed: 07/22/2024]
Abstract
The current simple and crude facilities make melon production more susceptible to cold stress during off-season cultivation in China. The ABA signalling pathway is an important target for breeding cold-tolerant melon. Cold-tolerant No. 330 and cold-sensitive No. 410 oriental melon genotypes were used to analyse the relationship between ABA and cold tolerance. 12 CmPYLs, ABA receptors, were identified from the melon genome database according to sequence alignment and phylogenetic analysis. Gene function of CmPYL6 in cold tolerance was analysed using VIGS in No. 330 and overexpression in Arabidopsis WT. A total of 12 CmPYL members contain the representative domain and conserved sites. Under cold treatment, No.330 seedlings had lower electrolyte leakage and MDA content, higher ABA content and CmPYL6 expression than seedlings of No. 410. Exogenous application of ABA upregulated expression of CmPYL6 and enhanced cold tolerance of both genotypes, while inhibiting ABA accumulation reduced expression of CmPYL6 and cold tolerance of both genotypes. CmPYL6-silenced No. 330 seedlings had reduced cold tolerance, increased electrolyte leakage and MDA content as well as limited proline and soluble sugar content, while CmPYL6 overexpressed transgenic Arabidopsis plants had enhanced cold tolerance, with limited electrolyte leakage and MDA content, as well as increased proline and soluble sugar content. The CmPYL6 gene is probably an important ABA receptor in regulating cold tolerance of oriental melon. Our study provides a direction for improving breeding of cold tolerance of oriental melon.
Collapse
|
5
|
Zhang Q, Jiang Y, Qin Y, Liu J, Xie Y, Zhang L, Li K, Wang X, Liu G. Linoleic Acid Alleviates Lipopolysaccharide Induced Acute Liver Injury via Activation of Nrf2. Physiol Res 2024; 73:381-391. [PMID: 39027955 PMCID: PMC11299784 DOI: 10.33549/physiolres.935201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/07/2024] [Indexed: 07/27/2024] Open
Abstract
Linoleic acid (LA) not only functions as an essential nutrient, but also profoundly modulates oxidative stress and inflammatory response. However, the potential mechanisms have not been adequately researched. Hence, this study examined the potential pharmacological roles of LA and the underlying mechanisms in mice with lipopolysaccharide (LPS)-associated acute liver injury (ALI). The results indicated that treatment with LA alleviated the histopathological abnormalities in the hepatic and plasma levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and glutathione-S-transferase (GST) in mice with LPS exposure. In addition, LA inhibited the LPS-associated generation of proinflammatory factors, such as tumor necrosis factor-alpha (TNF-alpha) and interleukin-6 (IL-6), and downregulated the hepatic myeloperoxidase (MPO) level. In addition, the administration of LA resulted in a reduction in hepatic malondialdehyde (MDA) levels and an elevation in liver superoxide dismutase (SOD), reduced glutathione (GSH), catalase (CAT), and glutathione peroxidase (GSH-PX) levels. Further investigations revealed that LA promoted the expression of nuclear factor E2-related factor (Nrf2) and NAD(P)H: quinone oxidoreductase 1 (NQO1). In addition, the beneficial outcomes of LA on LPS-induced acute liver failure were revered when Nrf2 was pharmacologically suppressed by ML385. These experimental results demonstrated that LA supplementation attenuated LPS-associated acute hepatic impairment in mice via the activation of Nrf2.
Collapse
|
6
|
Kanjira SC, Adams MJ, Jiang Y, Tian C, Lewis CM, Kuchenbaecker K, McIntosh AM. Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants. Mol Psychiatry 2024:10.1038/s41380-024-02662-x. [PMID: 39014000 DOI: 10.1038/s41380-024-02662-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 06/27/2024] [Accepted: 07/03/2024] [Indexed: 07/18/2024]
Abstract
Genome-Wide Association Studies (GWAS) over-represent European ancestries, neglecting all other ancestry groups and low-income nations. Consequently, polygenic risk scores (PRS) more accurately predict complex traits in Europeans than African Ancestries groups. Very few studies have looked at the transferability of European-derived PRS for behavioural and mental health phenotypes to Africans. We assessed the comparative accuracy of depression PRS trained on European and African Ancestries GWAS studies to predict major depressive disorder (MDD) and related traits in African ancestry participants from the UK Biobank. UK Biobank participants were selected based on Principal component analysis clustering with an African genetic similarity reference population, MDD was assessed with the Composite International Diagnostic Interview (CIDI). PRS were computed using PRSice2 software using either European or African Ancestries GWAS summary statistics. PRS trained on European ancestry samples (246,363 cases) predicted case control status in Africans of the UK Biobank with similar accuracies (R2 = 2%, β = 0.32, empirical p-value = 0.002) to PRS trained on far much smaller samples of African Ancestries participants from 23andMe, Inc. (5045 cases, R² = 1.8%, β = 0.28, empirical p-value = 0.008). This suggests that prediction of MDD status from Africans to Africans had greater efficiency relative to discovery sample size than prediction of MDD from Europeans to Africans. Prediction of MDD status in African UK Biobank participants using GWAS findings of likely causal risk factors from European ancestries was non-significant. GWAS of MDD in European ancestries are inefficient for improving polygenic prediction in African samples; urgent MDD studies in Africa are needed.
Collapse
|
7
|
Ablikim M, Achasov MN, Adlarson P, Afedulidis O, Ai XC, Aliberti R, Amoroso A, An Q, Anderle D, Bai Y, Bakina O, Balossino I, Ban Y, Bao HR, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Che GR, Chelkov G, Chen C, Chen CH, Chen C, Chen G, Chen HS, Chen HY, Chen ML, Chen SJ, Chen SL, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Chen ZY, Choi SK, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng CQ, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan YY, Duan ZH, Egorov P, Fan YH, Fang J, Fang J, Fang SS, Fang WX, Fang Y, Fang YQ, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Feng YT, Fritsch M, Fu CD, Fu JL, Fu YW, Gao H, Gao XB, Gao YN, Gao Y, Garbolino S, Garzia I, Ge L, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Gutierrez J, Han KL, Han TT, Hanisch F, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu BY, Hu HM, Hu JF, Hu SL, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hölzken F, Hüsken N, Hüsken N, In der Wiesche N, Jackson J, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji W, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang D, Jiang HB, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao JK, Jiao Z, Jin S, Jin Y, Jing MQ, Jing XM, Johansson T, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khachatryan V, Khoukaz A, Kiuchi R, Kolcu OB, Kopf B, Kuessner M, Kui X, Kumar N, Kupsc A, Kühn W, Lane JJ, Larin P, Lavezzi L, Lei TT, Lei ZH, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li K, Li LJ, Li LK, Li L, Li MH, Li MY, Li PR, Li QM, Li QX, Li R, Li SX, Li T, Li WD, Li WG, Li X, Li XH, Li XL, Li XZ, Li X, Li YG, Li ZJ, Li ZX, Li ZY, Liang C, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CC, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZD, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma H, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma T, Ma XT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Moses B, Muchnoi NY, Muskalla J, Nefedov Y, Nerling F, Nie LS, Nikolaev IB, Ning Z, Nisar S, Niu QL, Niu WD, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peng YY, Peters K, Ping JL, Ping RG, Plura S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qiao XK, Qin JJ, Qin LQ, Qin LY, Qin XS, Qin ZH, Qiu JF, Qu ZH, Redmer CF, Ren KJ, Rivetti A, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shang ZJ, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi H, Shi HC, Shi JL, Shi JY, Shi QQ, Shi SY, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZQ, Sun ZT, Tang CJ, Tang GY, Tang J, Tang M, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Tian ZF, Uman I, Wan Y, Wang SJ, Wang B, Wang BL, Wang B, Wang DY, Wang F, Wang HJ, Wang JJ, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang NY, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang XN, Wang Y, Wang YD, Wang YF, Wang YL, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, Wen YR, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YH, Wu YJ, Wu Z, Xia L, Xian XM, Xiang BH, Xiang T, Xiao D, Xiao GY, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing HX, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu M, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yu YC, Yuan CZ, Yuan J, Yuan L, Yuan SC, Yuan Y, Yuan YJ, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng SH, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang H, Zhang HC, Zhang HH, Zhang HH, Zhang HQ, Zhang HR, Zhang HY, Zhang J, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JS, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang LM, Zhang L, Zhang P, Zhang QY, Zhang RY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang YM, Zhang Y, Zhang Y, Zhang ZD, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhang ZZ, Zhao G, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao N, Zhao RP, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng BM, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou JY, Zhou LP, Zhou S, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu KS, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WD, Zhu YC, Zhu ZA, Zou JH, Zu J. Measurements of Normalized Differential Cross Sections of Inclusive η Production in e^{+}e^{-} Annihilation at Energy from 2.0000 to 3.6710 GeV. PHYSICAL REVIEW LETTERS 2024; 133:021901. [PMID: 39073971 DOI: 10.1103/physrevlett.133.021901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 05/26/2024] [Accepted: 05/31/2024] [Indexed: 07/31/2024]
Abstract
Using data samples collected with the BESIII detector operating at the BEPCII storage ring, the cross section of the inclusive process e^{+}e^{-}→η+X, normalized by the total cross section of e^{+}e^{-}→hadrons, is measured at eight center-of-mass energy points from 2.0000 to 3.6710 GeV. These are the first measurements with momentum dependence in this energy region. Our measurement shows a significant discrepancy compared to the existing fragmentation functions. To address this discrepancy, a new QCD analysis is performed at the next-to-next-to-leading order with hadron mass corrections and higher twist effects, which can explain both the established high-energy data and our measurements reasonably well.
Collapse
|
8
|
Ye ZC, Xue P, Qiao YL, Jiang Y. [Challenges in application of artificial intelligence in healthcare field and response strategies]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2024; 45:1030-1038. [PMID: 39004977 DOI: 10.3760/cma.j.cn112338-20240112-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The rapid development of artificial intelligence in the field of healthcare has greatly improved diagnosis accuracy, disease prediction, personalized treatment and healthcare resource management. However, with the widespread application of medical artificial intelligence, challenges has emerged in the aspects of medical data, model development and evaluation, and societal considerations. Therefore, this study aims to explore challenges in the application of artificial intelligence in healthcare and suggest a series of feasible solutions to improve medical professional and researchers' understanding of medical artificial intelligence and enhance the quality of healthcare in clinical practice.
Collapse
|
9
|
Aad G, Abbott B, Abeling K, Abicht N, Abidi S, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Abusleme Hoffman A, Acharya B, Adam Bourdarios C, Adamczyk L, Adamek L, Addepalli S, Addison M, Adelman J, Adiguzel A, Adye T, Affolder A, Afik Y, Agaras M, Agarwala J, Aggarwal A, Agheorghiesei C, Ahmad A, Ahmadov F, Ahmed W, Ahuja S, Ai X, Aielli G, Aikot A, Ait Tamlihat M, Aitbenchikh B, Aizenberg I, Akbiyik M, Åkesson T, Akimov A, Akiyama D, Akolkar N, Al Khoury K, Alberghi G, Albert J, Albicocco P, Albouy G, Alderweireldt S, Aleksa M, Aleksandrov I, Alexa C, Alexopoulos T, Alfonsi F, Algren M, Alhroob M, Ali B, Ali H, Ali S, Alibocus S, Aliev M, Alimonti G, Alkakhi W, Allaire C, Allbrooke B, Allen J, Allendes Flores C, Allport P, Aloisio A, Alonso F, Alpigiani C, Alvarez Estevez M, Alvarez Fernandez A, Alves Cardoso M, Alviggi M, Aly M, Amaral Coutinho Y, Ambler A, Amelung C, Amerl M, Ames C, Amidei D, Amor Dos Santos S, Amos K, Ananiev V, Anastopoulos C, Andeen T, Anders J, Andrean S, Andreazza A, Angelidakis S, Angerami A, Anisenkov A, Annovi A, Antel C, Anthony M, Antipov E, Antonelli M, Anulli F, Aoki M, Aoki T, Aparisi Pozo J, Aparo M, Bella LA, Appelt C, Apyan A, Aranzabal N, Arcangeletti C, Arce A, Arena E, Arguin JF, Argyropoulos S, Arling JH, Arnaez O, Arnold H, Artoni G, Asada H, Asai K, Asai S, Asbah N, Assahsah J, Assamagan K, Astalos R, Atashi S, Atkin R, Atkinson M, Atmani H, Atmasiddha P, Augsten K, Auricchio S, Auriol A, Austrup V, Avolio G, Axiotis K, Azuelos G, Babal D, Bachacou H, Bachas K, Bachiu A, Backman F, Badea A, Bagnaia P, Bahmani M, Bailey A, Bailey V, Baines J, Baines L, Bakalis C, Baker O, Bakos E, Bakshi Gupta D, Balakrishnan V, Balasubramanian R, Baldin E, Balek P, Ballabene E, Balli F, Baltes L, Balunas W, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Bansal S, Barak L, Barakat M, Barberio E, Barberis D, Barbero M, Barends K, Barillari T, Barisits MS, Barklow T, Baron P, Baron Moreno D, Baroncelli A, Barone G, Barr A, Barr J, Barranco Navarro L, Barreiro F, da Costa JBG, Barron U, Barros Teixeira M, Barsov S, Bartels F, Bartoldus R, Barton A, Bartos P, Basan A, Baselga M, Bassalat A, Basso M, Basson C, Bates R, Batlamous S, Batley J, Batool B, Battaglia M, Battulga D, Bauce M, Bauer M, Bauer P, Bazzano Hurrell L, Beacham J, Beau T, Beauchemin P, Becherer F, Bechtle P, Beck H, Becker K, Beddall A, Bednyakov V, Bee C, Beemster L, Beermann T, Begalli M, Begel M, Behera A, Behr J, Beirer J, Beisiegel F, Belfkir M, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belyaev N, Benchekroun D, Bendebba F, Benhammou Y, Benoit M, Bensinger J, Bentvelsen S, Beresford L, Beretta M, Bergeaas Kuutmann E, Berger N, Bergmann B, Beringer J, Bernardi G, Bernius C, Bernlochner F, Bernon F, Berry T, Berta P, Berthold A, Bertram I, Bethke S, Betti A, Bevan A, Bhamjee M, Bhatta S, Bhattacharya D, Bhattarai P, Bhopatkar V, Bi R, Bianchi R, Bianco G, Biebel O, Bielski R, Biglietti M, Billoud T, Bindi M, Bingul A, Bini C, Biondini A, Birch-sykes C, Bird G, Birman M, Biros M, Bisanz T, Bisceglie E, Biswas D, Bitadze A, Bjørke K, Bloch I, Blocker C, Blue A, Blumenschein U, Blumenthal J, Bobbink G, Bobrovnikov V, Boehler M, Boehm B, Bogavac D, Bogdanchikov A, Bohm C, Boisvert V, Bokan P, Bold T, Bomben M, Bona M, Boonekamp M, Booth C, Borbély A, Bordulev I, Borecka-Bielska H, Borgna L, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola J, Bouaouda K, Bouchhar N, Boudreau J, Bouhova-Thacker E, Boumediene D, Bouquet R, Boveia A, Boyd J, Boye D, Boyko I, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau J, Brener R, Brenner L, Brenner R, Bressler S, Britton D, Britzger D, Brock I, Brooijmans G, Brooks W, Brost E, Brown L, Bruce L, Bruckler T, de Renstrom PB, Brüers B, Bruni A, Bruni G, Bruschi M, Bruscino N, Buanes T, Buat Q, Buchin D, Buckley A, Bugge M, Bulekov O, Bullard B, Burdin S, Burgard C, Burger A, Burghgrave B, Burlayenko O, Burr J, Burton C, Burzynski J, Busch E, Büscher V, Bussey P, Butler J, Buttar C, Butterworth J, Buttinger W, Buxo Vazquez C, Buzykaev A, Cabrera Urbán S, Cadamuro L, Caforio D, Cai H, Cai Y, Cairo V, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba L, Calvet D, Calvet S, Calvet T, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo M, Cameron D, Camincher C, Campanelli M, Camplani A, Canale V, Canesse A, Cantero J, Cao Y, Capocasa F, Capua M, Carbone A, Cardarelli R, Cardenas J, Cardillo F, Carli T, Carlino G, Carlotto J, Carlson B, Carlson E, Carminati L, Carnelli A, Carnesale M, Caron S, Carquin E, Carrá S, Carratta G, Carrio Argos F, Carter J, Carter T, Casado M, Caspar M, Castiglia E, Castillo F, Castillo Garcia L, Castillo Gimenez V, Castro N, Catinaccio A, Catmore J, Cavaliere V, Cavalli N, Cavasinni V, Cekmecelioglu Y, Celebi E, Celli F, Centonze M, Cepaitis V, Cerny K, Cerqueira A, Cerri A, Cerrito L, Cerutti F, Cervato B, Cervelli A, Cesarini G, Cetin S, Chadi Z, Chakraborty D, Chan J, Chan W, Chapman J, Chapon E, Chargeishvili B, Charlton D, Charman T, Chatterjee M, Chauhan C, Chekanov S, Chekulaev S, Chelkov G, Chen A, Chen B, Chen B, Chen H, Chen H, Chen J, Chen J, Chen M, Chen S, Chen S, Chen X, Chen X, Chen Y, Cheng C, Cheng H, Cheong S, Cheplakov A, Cheremushkina E, Cherepanova E, El Moursli RC, Cheu E, Cheung K, Chevalier L, Chiarella V, Chiarelli G, Chiedde N, Chiodini G, Chisholm A, Chitan A, Chitishvili M, Chizhov M, Choi K, Chomont A, Chou Y, Chow E, Chowdhury T, Chu K, Chu M, Chu X, Chudoba J, Chwastowski J, Cieri D, Ciesla K, Cindro V, Ciocio A, Cirotto F, Citron Z, Citterio M, Ciubotaru D, Ciungu B, Clark A, Clark P, Clavijo Columbie J, Clawson S, Clement C, Clercx J, Clissa L, Coadou Y, Cobal M, Coccaro A, Coelho Barrue R, De Sa RCL, Coelli S, Cohen H, Coimbra A, Cole B, Collot J, Conde Muiño P, Connell M, Connell S, Connelly I, Conroy E, Conventi F, Cooke H, Cooper-Sarkar A, Cordeiro Oudot Choi A, Cormier F, Corpe L, Corradi M, Corriveau F, Cortes-Gonzalez A, Costa M, Costanza F, Costanzo D, Cote B, Cowan G, Cranmer K, Cremonini D, Crépé-Renaudin S, Crescioli F, Cristinziani M, Cristoforetti M, Croft V, Crosby J, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cui H, Cui Z, Cunningham W, Curcio F, Czodrowski P, Czurylo M, De Sousa MDCS, Pinto JDF, Da Via C, Dabrowski W, Dado T, Dahbi S, Dai T, Santo DD, Dallapiccola C, Dam M, D’amen G, D’Amico V, Damp J, Dandoy J, Daneri M, Danninger M, Dao V, Darbo G, Darmora S, Das S, D’Auria S, David C, Davidek T, Davis-Purcell B, Dawson I, Day-hall H, De K, De Asmundis R, De Biase N, De Castro S, De Groot N, de Jong P, De la Torre H, De Maria A, De Salvo A, De Sanctis U, De Santo A, De Regie JDV, Dedovich D, Degens J, Deiana A, Del Corso F, Del Peso J, Del Rio F, Deliot F, Delitzsch C, Della Pietra M, Della Volpe D, Dell’Acqua A, Dell’Asta L, Delmastro M, Delsart P, Demers S, Demichev M, Denisov S, D’Eramo L, Derendarz D, Derue F, Dervan P, Desch K, Deutsch C, Di Bello F, Di Ciaccio A, Di Ciaccio L, Di Domenico A, Di Donato C, Di Girolamo A, Di Gregorio G, Di Luca A, Di Micco B, Di Nardo R, Diaconu C, Diamantopoulou M, Dias F, Do Vale TD, Diaz M, Diaz Capriles F, Didenko M, Diehl E, Diehl L, Díez Cornell S, Diez Pardos C, Dimitriadi C, Dimitrievska A, Dingfelder J, Dinu IM, Dittmeier S, Dittus F, Djama F, Djobava T, Djuvsland J, Doglioni C, Dohnalova A, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D’Onofrio A, D’Onofrio M, Dopke J, Doria A, Dos Santos Fernandes N, Dougan P, Dova M, Doyle A, Draguet M, Dreyer E, Drivas-koulouris I, Drobac A, Drozdova M, Du D, du Pree T, Dubinin F, Dubovsky M, Duchovni E, Duckeck G, Ducu O, Duda D, Dudarev A, Duden E, D’uffizi M, Duflot L, Dührssen M, Dülsen C, Dumitriu A, Dunford M, Dungs S, Dunne K, Duperrin A, Duran Yildiz H, Düren M, Durglishvili A, Dwyer B, Dyckes G, Dyndal M, Dysch S, Dziedzic B, Earnshaw Z, Eberwein G, Eckerova B, Eggebrecht S, De Souza EEP, Ehrke L, Eigen G, Einsweiler K, Ekelof T, Ekman P, El Farkh S, El Ghazali Y, El Jarrari H, El Moussaouy A, Ellajosyula V, Ellert M, Ellinghaus F, Elliot A, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Enari Y, Ene I, Epari S, Erdmann J, Erland P, Errenst M, Escalier M, Escobar C, Etzion E, Evans G, Evans H, Evans L, Evans M, Ezhilov A, Ezzarqtouni S, Fabbri F, Fabbri L, Facini G, Fadeyev V, Fakhrutdinov R, Falciano S, Falda Ulhoa Coelho L, Falke P, Faltova J, Fan C, Fan Y, Fang Y, Fanti M, Faraj M, Farazpay Z, Farbin A, Farilla A, Farooque T, Farrington S, Fassi F, Fassouliotis D, Faucci Giannelli M, Fawcett W, Fayard L, Federic P, Federicova P, Fedin O, Fedotov G, Feickert M, Feligioni L, Fellers D, Feng C, Feng M, Feng Z, Fenton M, Fenyuk A, Ferencz L, Ferguson R, Fernandez Luengo S, Fernoux M, Ferrando J, Ferrari A, Ferrari P, Ferrari R, Ferrere D, Ferretti C, Fiedler F, Filipčič A, Filmer E, Filthaut F, Fiolhais M, Fiorini L, Fisher W, Fitschen T, Fitzhugh P, Fleck I, Fleischmann P, Flick T, Flores M, Flores Castillo L, De Acedo LFS, Follega F, Fomin N, Foo J, Forland B, Formica A, Forti A, Fortin E, Fortman A, Foti M, Fountas L, Fournier D, Fox H, Francavilla P, Francescato S, Franchellucci S, Franchini M, Franchino S, Francis D, Franco L, Franconi L, Franklin M, Frattari G, Freegard A, Freund W, Frid Y, Friend J, Fritzsche N, Froch A, Froidevaux D, Frost J, Fu Y, Fujimoto M, Fullana Torregrosa E, Fung K, Furtado De Simas Filho E, Furukawa M, Fuster J, Gabrielli A, Gabrielli A, Gadow P, Gagliardi G, Gagnon L, Gallas E, Gallop B, Gan K, Ganguly S, Gao J, Gao Y, Garay Walls F, Garcia B, García C, Garcia Alonso A, Garcia Caffaro A, García Navarro J, Garcia-Sciveres M, Gardner G, Gardner R, Garelli N, Garg D, Garg R, Gargan J, Garner C, Gasiorowski S, Gaspar P, Gaudio G, Gautam V, Gauzzi P, Gavrilenko I, Gavrilyuk A, Gay C, Gaycken G, Gazis E, Geanta A, Gee C, Gemme C, Genest M, Gentile S, George S, George W, Geralis T, Gessinger-Befurt P, Geyik M, Ghani M, Ghneimat M, Ghorbanian K, Ghosal A, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giani T, Giannetti P, Giannini A, Gibson S, Gignac M, Gil D, Gilbert A, Gilbert B, Gillberg D, Gilles G, Gillwald N, Ginabat L, Gingrich D, Giordani M, Giraud P, Giugliarelli G, Giugni D, Giuli F, Gkialas I, Gladilin L, Glasman C, Gledhill G, Glemža G, Glisic M, Gnesi I, Go Y, Goblirsch-Kolb M, Gocke B, Godin D, Gokturk B, Goldfarb S, Golling T, Gololo M, Golubkov D, Gombas J, Gomes A, Da Silva GG, Gomez Delegido A, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski J, González Andana R, de la Hoz SG, Gonzalez Fernandez S, Gonzalez Lopez R, Gonzalez Renteria C, Gonzalez Rodrigues M, Gonzalez Suarez R, Gonzalez-Sevilla S, Gonzalvo Rodriguez G, Goossens L, Gorini B, Gorini E, Gorišek A, Gosart T, Goshaw A, Gostkin M, Goswami S, Gottardo C, Gotz S, Gouighri M, Goumarre V, Goussiou A, Govender N, Grabowska-Bold I, Graham K, Gramstad E, Grancagnolo S, Grandi M, Grant C, Gravila P, Gravili F, Gray H, Greco M, Grefe C, Gregor I, Grenier P, Grieco C, Grillo A, Grimm K, Grinstein S, Grivaz JF, Gross E, Grosse-Knetter J, Grud C, Grundy J, Guan L, Guan W, Gubbels C, Guerrero Rojas J, Guerrieri G, Guescini F, Gugel R, Guhit J, Guida A, Guillemin T, Guilloton E, Guindon S, Guo F, Guo J, Guo L, Guo Y, Gupta R, Gurbuz S, Gurdasani S, Gustavino G, Guth M, Gutierrez P, Gutierrez Zagazeta L, Gutschow C, Gwenlan C, Gwilliam C, Haaland E, Haas A, Habedank M, Haber C, Hadavand H, Hadef A, Hadzic S, Hahn J, Haines E, Haleem M, Haley J, Hall J, Hallewell G, Halser L, Hamano K, Hamer M, Hamity G, Hampshire E, Han J, Han K, Han L, Han L, Han S, Han Y, Hanagaki K, Hance M, Hangal D, Hanif H, Hank M, Hankache R, Hansen J, Hansen J, Hansen P, Hara K, Harada D, Harenberg T, Harkusha S, Harris M, Harris Y, Harrison J, Harrison N, Harrison P, Hartman N, Hartmann N, Hasegawa Y, Hasib A, Haug S, Hauser R, Hawkes C, Hawkings R, Hayashi Y, Hayashida S, Hayden D, Hayes C, Hayes R, Hays C, Hays J, Hayward H, He F, He M, He Y, He Y, Heatley N, Hedberg V, Heggelund A, Hehir N, Heidegger C, Heidegger K, Heidorn W, Heilman J, Heim S, Heim T, Heinlein J, Heinrich J, Heinrich L, Hejbal J, Helary L, Held A, Hellesund S, Helling C, Hellman S, Henderson R, Henkelmann L, Henriques Correia A, Herde H, Hernández Jiménez Y, Herrmann L, Herrmann T, Herten G, Hertenberger R, Hervas L, Hesping M, Hessey N, Hibi H, Hillier S, Hinds J, Hinterkeuser F, Hirose M, Hirose S, Hirschbuehl D, Hitchings T, Hiti B, Hobbs J, Hobincu R, Hod N, Hodgkinson M, Hodkinson B, Hoecker A, Hofer J, Holm T, Holzbock M, Hommels L, Honan B, Hong J, Hong T, Hooberman B, Hopkins W, Horii Y, Hou S, Howard A, Howarth J, Hoya J, Hrabovsky M, Hrynevich A, Hryn’ova T, Hsu P, Hsu SC, Hu Q, Hu Y, Huang S, Huang X, Huang Y, Huang Y, Huang Z, Hubacek Z, Huebner M, Huegging F, Huffman T, Hugli C, Huhtinen M, Huiberts S, Hulsken R, Huseynov N, Huston J, Huth J, Hyneman R, Iacobucci G, Iakovidis G, Ibragimov I, Iconomidou-Fayard L, Iengo P, Iguchi R, Iizawa T, Ikegami Y, Ilic N, Imam H, Lezki MI, Carlson TI, Introzzi G, Iodice M, Ippolito V, Irwin R, Ishino M, Islam W, Issever C, Istin S, Ito H, Ponce JI, Iuppa R, Ivina A, Izen J, Izzo V, Jacka P, Jackson P, Jacobs R, Jaeger B, Jagfeld C, Jain P, Jäkel G, Jakobs K, Jakoubek T, Jamieson J, Janas K, Javurkova M, Jeanneau F, Jeanty L, Jejelava J, Jenni P, Jessiman C, Jézéquel S, Jia C, Jia J, Jia X, Jia X, Jia Z, Jiang Y, Jiggins S, Pena JJ, Jin S, Jinaru A, Jinnouchi O, Johansson P, Johns K, Johnson J, Jones D, Jones E, Jones P, Jones R, Jones T, Joshi R, Jovicevic J, Ju X, Junggeburth J, Junkermann T, Rozas AJ, Juzek M, Kabana S, Kaczmarska A, Kado M, Kagan H, Kagan M, Kahn A, Kahn A, Kahra C, Kaji T, Kajomovitz E, Kakati N, Kalaitzidou I, Kalderon C, Kamenshchikov A, Kang N, Kar D, Karava K, Kareem M, Karentzos E, Karkanias I, Karkout O, Karpov S, Karpova Z, Kartvelishvili V, Karyukhin A, Kasimi E, Katzy J, Kaur S, Kawade K, Kawale M, Kawamoto T, Kay E, Kaya F, Kazakos S, Kazanin V, Ke Y, Keaveney J, Keeler R, Kehris G, Keller J, Kelly A, Kempster J, Kennedy K, Kennedy P, Kepka O, Kerridge B, Kersten S, Kerševan B, Keshri S, Keszeghova L, Haghighat SK, Khandoga M, Khanov A, Kharlamov A, Kharlamova T, Khoda E, Khoo T, Khoriauli G, Khubua J, Khwaira Y, Kilgallon A, Kim D, Kim Y, Kimura N, Kirchhoff A, Kirfel C, Kirfel F, Kirk J, Kiryunin A, Kitsaki C, Kivernyk O, Klassen M, Klein C, Klein L, Klein M, Klein M, Klein S, Klein U, Klimek P, Klimentov A, Klioutchnikova T, Kluit P, Kluth S, Kneringer E, Knight T, Knue A, Kobayashi R, Kobylianskii D, Koch S, Kocian M, Kodyš P, Koeck D, Koenig P, Koffas T, Kolb M, Koletsou I, Komarek T, Köneke K, Kong A, Kono T, Konstantinidis N, Konya B, Kopeliansky R, Koperny S, Korcyl K, Kordas K, Koren G, Korn A, Korn S, Korolkov I, Korotkova N, Kortman B, Kortner O, Kortner S, Kostecka W, Kostyukhin V, Kotsokechagia A, Kotwal A, Koulouris A, Kourkoumeli-Charalampidi A, Kourkoumelis C, Kourlitis E, Kovanda O, Kowalewski R, Kozanecki W, Kozhin A, Kramarenko V, Kramberger G, Kramer P, Krasny M, Krasznahorkay A, Kraus J, Kremer J, Kresse T, Kretzschmar J, Kreul K, Krieger P, Krishnamurthy S, Krivos M, Krizka K, Kroeninger K, Kroha H, Kroll J, Kroll J, Krowpman K, Kruchonak U, Krüger H, Krumnack N, Kruse M, Krzysiak J, Kuchinskaia O, Kuday S, Kuehn S, Kuesters R, Kuhl T, Kukhtin V, Kulchitsky Y, Kuleshov S, Kumar M, Kumari N, Kupco A, Kupfer T, Kupich A, Kuprash O, Kurashige H, Kurchaninov L, Kurdysh O, Kurochkin Y, Kurova A, Kuze M, Kvam A, Kvita J, Kwan T, Kyriacou N, Laatu L, Lacasta C, Lacava F, Lacker H, Lacour D, Lad N, Ladygin E, Laforge B, Lagouri T, Lahbabi F, Lai S, Lakomiec I, Lalloue N, Lambert J, Lammers S, Lampl W, Lampoudis C, Lancaster A, Lançon E, Landgraf U, Landon M, Lang V, Langenberg R, Langrekken O, Lankford A, Lanni F, Lantzsch K, Lanza A, Lapertosa A, Laporte J, Lari T, Manghi FL, Lassnig M, Latonova V, Laudrain A, Laurier A, Lawlor S, Lawrence Z, Lazzaroni M, Le B, Le Boulicaut E, Leban B, Lebedev A, LeBlanc M, Ledroit-Guillon F, Lee A, Lee S, Lee S, Lee T, Leeuw L, Lefebvre H, Lefebvre M, Leggett C, Miotto GL, Leigh M, Leight W, Leinonen W, Leisos A, Leite M, Leitgeb C, Leitner R, Leney K, Lenz T, Leone S, Leonidopoulos C, Leopold A, Leroy C, Les R, Lester C, Levchenko M, Levêque J, Levin D, Levinson L, Lewicki M, Lewis D, Li A, Li B, Li C, Li CQ, Li H, Li H, Li H, Li H, Li H, Li K, Li L, Li M, Li Q, Li S, Li S, Li T, Li X, Li Z, Li Z, Li Z, Li Z, Liang S, Liang Z, Liberatore M, Liberti B, Lie K, Marin JL, Lien H, Lin K, Lindley R, Lindon J, Lipeles E, Lipniacka A, Lister A, Little J, Liu B, Liu B, Liu D, Liu J, Liu J, Liu K, Liu M, Liu M, Liu P, Liu Q, Liu X, Liu Y, Liu Y, Liu Y, Merino JL, Lloyd S, Lobodzinska E, Loch P, Loffredo S, Lohse T, Lohwasser K, Loiacono E, Lokajicek M, Lomas J, Long J, Longarini I, Longo L, Longo R, Paz IL, Solis AL, Lorenz J, Martinez NL, Lory A, Centeno GL, Loseva O, Lou X, Lou X, Lounis A, Love J, Love P, Lu G, Lu M, Lu S, Lu Y, Lubatti H, Luci C, Alves FL, Lucotte A, Luehring F, Luise I, Lukianchuk O, Lundberg O, Lund-Jensen B, Luongo N, Lutz M, Lynn D, Lyons H, Lysak R, Lytken E, Lyubushkin V, Lyubushkina T, Lyukova M, Ma H, Ma K, Ma L, Ma Y, Donell DM, Maccarrone G, MacDonald J, Madar R, Mader W, Madula T, Maeda J, Maeno T, Maerker M, Maguire H, Maiboroda V, Maio A, Maj K, Majersky O, Majewski S, Makovec N, Maksimovic V, Malaescu B, Malecki P, Maleev V, Malek F, Mali M, Malito D, Mallik U, Maltezos S, Malyukov S, Mamuzic J, Mancini G, Manco G, Mandalia J, Mandić I, de Andrade Filho LM, Maniatis I, Ramos JM, Mankad D, Mann A, Mansoulie B, Manzoni S, Marantis A, Marchiori G, Marcisovsky M, Marcon C, Marinescu M, Marjanovic M, Marshall E, Marshall Z, Marti-Garcia S, Martin T, Martin V, Martin dit Latour B, Martinelli L, Martinez M, Agullo PM, Outschoorn VM, Suarez PM, Martin-Haugh S, Martoiu V, Martyniuk A, Marzin A, Mascione D, Masetti L, Mashimo T, Masik J, Maslennikov A, Massa L, Massarotti P, Mastrandrea P, Mastroberardino A, Masubuchi T, Mathisen T, Matousek J, Matsuzawa N, Maurer J, Maček B, Maximov D, Mazini R, Maznas I, Mazza M, Mazza S, Mazzeo E, Ginn CM, Gowan JM, Kee SM, McDonald E, McDougall A, Mcfayden J, McGovern R, Mchedlidze G, Mckenzie R, Mclachlan T, Mclaughlin D, McLean K, McMahon S, McNamara P, Mcpartland C, McPherson R, Mehlhase S, Mehta A, Melini D, Garcia BM, Melo A, Meloni F, Da Costa AMJ, Meng H, Meng L, Menke S, Mentink M, Meoni E, Merlassino C, Merola L, Meroni C, Merz G, Meshkov O, Metcalfe J, Mete A, Meyer C, Meyer JP, Middleton R, Mijović L, Mikenberg G, Mikestikova M, Mikuž M, Mildner H, Milic A, Milke C, Miller D, Miller L, Milov A, Milstead D, Min T, Minaenko A, Minashvili I, Mince L, Mincer A, Mindur B, Mineev M, Mino Y, Mir L, Lopez MM, Mironova M, Mishima A, Missio M, Mitra A, Mitsou V, Mitsumori Y, Miu O, Miyagawa P, Mkrtchyan T, Mlinarevic M, Mlinarevic T, Mlynarikova M, Mobius S, Moder P, Mogg P, Mohammed A, Mohapatra S, Mokgatitswane G, Moleri L, Mondal B, Mondal S, Monig G, Mönig K, Monnier E, Romero LM, Berlingen JM, Montella M, Montereali F, Monticelli F, Monzani S, Morange N, De Carvalho AM, Llácer MM, Martinez CM, Morettini P, Morgenstern S, Morii M, Morinaga M, Morley A, Morodei F, Morvaj L, Moschovakos P, Moser B, Mosidze M, Moskalets T, Moskvitina P, Moss J, Moyse E, Mtintsilana O, Muanza S, Mueller J, Muenstermann D, Müller R, Mullier G, Mullin A, Mullin J, Mungo D, Perez DM, Sanchez FM, Murin M, Murray W, Murrone A, Muse J, Muškinja M, Mwewa C, Myagkov A, Myers A, Myers A, Myers G, Myska M, Nachman B, Nackenhorst O, Nag A, Nagai K, Nagano K, Nagle J, Nagy E, Nairz A, Nakahama Y, Nakamura K, Nakkalil K, Nanjo H, Narayan R, Narayanan E, Naryshkin I, Naseri M, Nasri S, Nass C, Navarro G, Navarro-Gonzalez J, Nayak R, Nayaz A, Nechaeva P, Nechansky F, Nedic L, Neep T, Negri A, Negrini M, Nellist C, Nelson C, Nelson K, Nemecek S, Nessi M, Neubauer M, Neuhaus F, Neundorf J, Newhouse R, Newman P, Ng C, Ng Y, Ngair B, Nguyen H, Nickerson R, Nicolaidou R, Nielsen J, Niemeyer M, Niermann J, Nikiforou N, Nikolaenko V, Nikolic-Audit I, Nikolopoulos K, Nilsson P, Ninca I, Nindhito H, Ninio G, Nisati A, Nishu N, Nisius R, Nitschke JE, Nkadimeng E, Rosende SN, Nobe T, Noel D, Nommensen T, Norfolk M, Norisam R, Norman B, Novak J, Novak T, Novotny L, Novotny R, Nozka L, Ntekas K, Nunes De Moura Junior N, Nurse E, Ocariz J, Ochi A, Ochoa I, Oerdek S, Offermann J, Ogrodnik A, Oh A, Ohm C, Oide H, Oishi R, Ojeda M, O’Keefe M, Okumura Y, Seabra LO, Pino SO, Damazio DO, Goncalves DO, Oliver J, Olszewski A, Öncel Ö, O’Neill A, Onofre A, Onyisi P, Oreglia M, Orellana G, Orestano D, Orlando N, Orr R, O’Shea V, Osojnak L, Ospanov R, Otero y Garzon G, Otono H, Ott P, Ottino G, Ouchrif M, Ouellette J, Ould-Saada F, Owen M, Owen R, Oyulmaz K, Ozcan V, Ozturk N, Ozturk S, Pacey H, Pages AP, Aranda CP, Padovano G, Griso SP, Palacino G, Palazzo A, Palestini S, Pan J, Pan T, Panchal D, Pandini C, Vazquez JP, Pandya H, Pang H, Pani P, Panizzo G, Paolozzi L, Papadatos C, Parajuli S, Paramonov A, Paraskevopoulos C, Hernandez DP, Park T, Parker M, Parodi F, Parrish E, Parrish V, Parsons J, Parzefall U, Dias BP, Dominguez LP, Pasqualucci E, Passaggio S, Pastore F, Pasuwan P, Patel P, Patel U, Pater J, Pauly T, Pearkes J, Pedersen M, Pedro R, Peleganchuk S, Penc O, Pender E, Peng H, Penski K, Penzin M, Peralva B, Peixoto AP, Sanchez LP, Perepelitsa D, Codina EP, Perganti M, Perini L, Pernegger H, Perrin O, Peters K, Peters R, Petersen B, Petersen T, Petit E, Petousis V, Petridou C, Petrukhin A, Pettee M, Pettersson N, Petukhov A, Petukhova K, Pezoa R, Pezzotti L, Pezzullo G, Pham T, Pham T, Phillips P, Piacquadio G, Pianori E, Piazza F, Piegaia R, Pietreanu D, Pilkington A, Pinamonti M, Pinfold J, Pereira BP, Pinoargote AP, Pintucci L, Piper K, Pirttikoski A, Pizzi D, Pizzimento L, Pizzini A, Pleier MA, Plesanovs V, Pleskot V, Plotnikova E, Poddar G, Poettgen R, Poggioli L, Pokharel I, Polacek S, Polesello G, Poley A, Polifka R, Polini A, Pollard C, Pollock Z, Polychronakos V, Pacchi EP, Ponomarenko D, Pontecorvo L, Popa S, Popeneciu G, Poreba A, Quintero DP, Pospisil S, Postill M, Postolache P, Potamianos K, Potepa P, Potrap I, Potter C, Potti H, Poulsen T, Poveda J, Astigarraga MP, Ibanez AP, Pretel J, Price D, Primavera M, Martin MP, Privara R, Procter T, Proffitt M, Proklova N, Prokofiev K, Proto G, Protopopescu S, Proudfoot J, Przybycien M, Przygoda W, Puddefoot J, Pudzha D, Pyatiizbyantseva D, Qian J, Qichen D, Qin Y, Qiu T, Quadt A, Queitsch-Maitland M, Quetant G, Quinn R, Bolanos GR, Rafanoharana D, Ragusa F, Rainbolt J, Raine J, Rajagopalan S, Ramakoti E, Ran K, Rapheeha N, Rasheed H, Raskina V, Rassloff D, Rave S, Ravina B, Ravinovich I, Raymond M, Read A, Readioff N, Rebuzzi D, Redlinger G, Reed A, Reeves K, Reidelsturz J, Reikher D, Rej A, Rembser C, Renardi A, Renda M, Rendel M, Renner F, Rennie A, Rescia A, Resconi S, Ressegotti M, Rettie S, Rivera JR, Reynolds E, Rezanova O, Reznicek P, Ribaric N, Ricci E, Richter R, Richter S, Richter-Was E, Ridel M, Ridouani S, Rieck P, Riedler P, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Rinn T, Rinnagel M, Ripellino G, Riu I, Rivadeneira P, Vergara JR, Rizatdinova F, Rizvi E, Roberts B, Roberts B, Robertson S, Robinson D, Gajardo CR, Manzano MR, Robson A, Rocchi A, Roda C, Bosca SR, Garcia YR, Rodriguez AR, Vera AR, Roe S, Roemer J, Roepe-Gier A, Roggel J, Røhne O, Rojas R, Roland C, Roloff J, Romaniouk A, Romano E, Romano M, Hernandez AR, Rompotis N, Roos L, Rosati S, Rosser B, Rossi E, Rossi E, Rossi L, Rossini L, Rosten R, Rotaru M, Rottler B, Rougier C, Rousseau D, Rousso D, Roy A, Roy-Garand S, Rozanov A, Rozen Y, Ruan X, Jimenez AR, Ruby A, Rivera VR, Ruggeri T, Ruggiero A, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich N, Russell H, Russo G, Rutherfoord J, Colmenares SR, Rybacki K, Rybar M, Rye E, Ryzhov A, Iglesias JS, Sabatini P, Sabetta L, Sadrozinski HW, Tehrani FS, Samani BS, Safdari M, Saha S, Sahinsoy M, Saimpert M, Saito M, Saito T, Salamani D, Salnikov A, Salt J, Salas AS, Salvatore D, Salvatore F, Salzburger A, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Pineda AS, Sebastian VS, Sandaker H, Sander C, Sandesara J, Sandhoff M, Sandoval C, Sankey D, Sano T, Sansoni A, Santi L, Santoni C, Santos H, Santpur S, Santra A, Saoucha K, Saraiva J, Sardain J, Sasaki O, Sato K, Sauer C, Sauerburger F, Sauvan E, Savard P, Sawada R, Sawyer C, Sawyer L, Galvan IS, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schaefer D, Schäfer U, Schaffer A, Schaile D, Schamberger R, Scharf C, Schefer M, Schegelsky V, Scheirich D, Schenck F, Schernau M, Scheulen C, Schiavi C, Schioppa E, Schioppa M, Schlag B, Schleicher K, Schlenker S, Schmeing J, Schmidt M, Schmieden K, Schmitt C, Schmitt S, Schoeffel L, Schoening A, Scholer P, Schopf E, Schott M, Schovancova J, Schramm S, Schroeder F, Schroer T, Schultz-Coulon HC, Schumacher M, Schumm B, Schune P, Schuy A, Schwartz H, Schwartzman A, Schwarz T, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scuri F, Sebastiani C, Sedlaczek K, Seema P, Seidel S, Seiden A, Seidlitz B, Seitz C, Seixas J, Sekhniaidze G, Sekula S, Selem L, Semprini-Cesari N, Sengupta D, Senthilkumar V, Serin L, Serkin L, Sessa M, Severini H, Sforza F, Sfyrla A, Shabalina E, Shaheen R, Shahinian J, Renous DS, Shan L, Shapiro M, Sharma A, Sharma A, Sharma P, Sharma S, Shatalov P, Shaw K, Shaw S, Shcherbakova A, Shen Q, Sherwood P, Shi L, Shi X, Shimmin C, Shinner J, Shipsey I, Shirabe S, Shiyakova M, Shlomi J, Shochet M, Shojaii J, Shope D, Shrestha B, Shrestha S, Shrif E, Shroff M, Sicho P, Sickles A, Haddad ES, Sidoti A, Siegert F, Sijacki D, Sikora R, Sili F, Silva J, Oliveira MS, Silverstein S, Simion S, Simoniello R, Simpson E, Simpson H, Simpson L, Simpson N, Simsek S, Sindhu S, Sinervo P, Singh S, Sinha S, Sinha S, Sioli M, Siral I, Sitnikova E, Sivoklokov S, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Smakhtin V, Smart B, Smiesko J, Smirnov S, Smirnov Y, Smirnova L, Smirnova O, Smith A, Smith E, Smith H, Smith J, Smith R, Smizanska M, Smolek K, Snesarev A, Snider S, Snoek H, Snyder S, Sobie R, Soffer A, Sanchez CS, Soldatov E, Soldevila U, Solodkov A, Solomon S, Soloshenko A, Solovieva K, Solovyanov O, Solovyev V, Sommer P, Sonay A, Song W, Sonneveld J, Sopczak A, Sopio A, Sopkova F, Sothilingam V, Sottocornola S, Soualah R, Soumaimi Z, South D, Soybelman N, Spagnolo S, Spalla M, Sperlich D, Spigo G, Spinali S, Spiteri D, Spousta M, Staats E, Stabile A, Stamen R, Stampekis A, Standke M, Stanecka E, Stange M, Stanislaus B, Stanitzki M, Stapf B, Starchenko E, Stark G, Stark J, Starko D, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Steentoft J, Steinberg P, Stelzer B, Stelzer H, Stelzer-Chilton O, Stenzel H, Stevenson T, Stewart G, Stewart J, Stockton M, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom D, Strom L, Stroynowski R, Strubig A, Stucci S, Stugu B, Stupak J, Styles N, Su D, Su S, Su W, Su X, Sugizaki K, Sulin V, Sullivan M, Sultan D, Sultanaliyeva L, Sultansoy S, Sumida T, Sun S, Sun S, Gudnadottir OS, Sur N, Sutton M, Suzuki H, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Vargas JT, Takeva E, Takubo Y, Talby M, Talyshev A, Tam K, Tamir N, Tanaka A, Tanaka J, Tanaka R, Tanasini M, Tao Z, Araya ST, Tapprogge S, Mohamed ATA, Tarem S, Tariq K, Tarna G, Tartarelli G, Tas P, Tasevsky M, Tassi E, Tate A, Tateno G, Tayalati Y, Taylor G, Taylor W, Teagle H, Tee A, De Lima RT, Teixeira-Dias P, Teoh J, Terashi K, Terron J, Terzo S, Testa M, Teuscher R, Thaler A, Theiner O, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas D, Thomas J, Thompson E, Thompson P, Thomson E, Tian Y, Tikhomirov V, Tikhonov Y, Timoshenko S, Timoshyn D, Ting E, Tipton P, Tlou S, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Toldaiev O, Tombs R, Tomoto M, Tompkins L, Topolnicki K, Torrence E, Torres H, Pastor ET, Toscani M, Tosciri C, Tost M, Tovey D, Traeet A, Trandafir I, Trefzger T, Tricoli A, Trigger I, Trincaz-Duvoid S, Trischuk D, Trocmé B, Troncon C, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsai M, Tsiamis A, Tsiareshka P, Tsigaridas S, Tsirigotis A, Tsiskaridze V, Tskhadadze E, Tsopoulou M, Tsujikawa Y, Tsukerman I, Tsulaia V, Tsuno S, Tsur O, Tsuri K, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna A, Turchikhin S, Cakir IT, Turra R, Turtuvshin T, Tuts P, Tzamarias S, Tzanis P, Tzovara E, Ukegawa F, Poblete PU, Umaka E, Unal G, Unal M, Undrus A, Unel G, Urban J, Urquijo P, Usai G, Ushioda R, Usman M, Uysal Z, Vacavant L, Vacek V, Vachon B, Vadla K, Vafeiadis T, Vaitkus A, Valderanis C, Santurio EV, Valente M, Valentinetti S, Valero A, Moreno EV, Vallier A, Ferrer JV, Van Arneman D, Van Daalen T, Van Der Graaf A, Van Gemmeren P, Van Rijnbach M, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall E, Vannicola D, Vannoli L, Vari R, Varnes E, Varni C, Varol T, Varouchas D, Varriale L, Varvell K, Vasile M, Vaslin L, Vasquez G, Vasyukov A, Vazeille F, Schroeder TV, Veatch J, Vecchio V, Veen M, Veliscek I, Veloce L, Veloso F, Veneziano S, Ventura A, Gonzalez SV, Verbytskyi A, Verducci M, Vergis C, De Araujo MV, Verkerke W, Vermeulen J, Vernieri C, Vessella M, Vetterli M, Vgenopoulos A, Maira NV, Vickey T, Boeriu OV, Viehhauser G, Vigani L, Villa M, Perez MV, Villhauer E, Vilucchi E, Vincter M, Virdee G, Vishwakarma A, Visibile A, Vittori C, Vivarelli I, Vladimirov V, Voevodina E, Vogel F, Vokac P, Volkotrub Y, Von Ahnen J, Von Toerne E, Vormwald B, Vorobel V, Vorobev K, Vos M, Voss K, Vossebeld J, Vozak M, Vozdecky L, Vranjes N, Milosavljevic MV, Vreeswijk M, Vu N, Vuillermet R, Vujinovic O, Vukotic I, Wada S, Wagner C, Wagner J, Wagner W, Wahdan S, Wahlberg H, Wakida M, Walder J, Walker R, Walkowiak W, Wall A, Wamorkar T, Wang A, Wang C, Wang C, Wang H, Wang J, Wang RJ, Wang R, Wang R, Wang S, Wang S, Wang T, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward R, Warrack N, Watson A, Watson H, Watson M, Watton E, Watts G, Waugh B, Weber C, Weber H, Weber M, Weber S, Wei C, Wei Y, Weidberg A, Weik E, Weingarten J, Weirich M, Weiser C, Wells C, Wenaus T, Wendland B, Wengler T, Wenke N, Wermes N, Wessels M, Wharton A, White A, White A, White M, Whiteson D, Wickremasinghe L, Wiedenmann W, Wiel C, Wielers M, Wiglesworth C, Wilbern D, Wilkens H, Williams D, Williams H, Williams S, Willocq S, Wilson B, Windischhofer P, Winkel F, Winklmeier F, Winter B, Winter J, Wittgen M, Wobisch M, Wolffs Z, Wölker R, Wollrath J, Wolter M, Wolters H, Wongel A, Worm S, Wosiek B, Woźniak K, Wozniewski S, Wraight K, Wu C, Wu J, Wu M, Wu M, Wu S, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt T, Wynne B, Xella S, Xia L, Xia M, Xiang J, Xie M, Xie X, Xin S, Xiong J, Xu D, Xu H, Xu L, Xu R, Xu T, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi Y, Yamashita E, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang H, Yang H, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Y, Yang Z, Yao WM, Yap Y, Ye H, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yeo B, Yexley M, Yin P, Yorita K, Younas S, Young C, Young C, Yu Y, Yuan M, Yuan R, Yue L, Zaazoua M, Zabinski B, Zaid E, Zakareishvili T, Zakharchuk N, Zambito S, Saa JZ, Zang J, Zanzi D, Zaplatilek O, Zeitnitz C, Zeng H, Zeng J, Zenger D, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhai M, Zhang B, Zhang D, Zhang J, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao P, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng J, Zheng K, Zheng X, Zheng Z, Zhong D, Zhou B, Zhou H, Zhou N, Zhou Y, Zhu C, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine N, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas T, Zormpa O, Zou W, Zwalinski L. Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb -1 of s=13 TeV pp collision data. Sci Bull (Beijing) 2024:S2095-9273(24)00399-2. [PMID: 39179456 DOI: 10.1016/j.scib.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/03/2023] [Accepted: 05/27/2024] [Indexed: 08/26/2024]
Abstract
Results from a wide range of searches targeting different experimental signatures with and without missing transverse momentum (ETmiss) are used to constrain a Two-Higgs-Doublet Model (2HDM) with an additional pseudo-scalar mediating the interaction between ordinary and dark matter (2HDM+a). The analyses use up to 139 fb-1 of proton-proton collision data at a centre-of-mass energy s=13 TeV recorded with the ATLAS detector at the Large Hadron Collider during 2015-2018. The results from three of the most sensitive searches are combined statistically. These searches target signatures with large ETmiss and a leptonically decaying Z boson; large ETmiss and a Higgs boson decaying to bottom quarks; and production of charged Higgs bosons in final states with top and bottom quarks, respectively. Constraints are derived for several common and new benchmark scenarios in the 2HDM+a.
Collapse
|
10
|
Wang X, Cao YY, Jiang Y, Jia M, Tian G, Bu CQ, Zhao N, Yue XZ, Shen ZW, Ji Y, Han YD. Effects of Breathing Patterns on Amide Proton Transfer MRI in the Kidney: A Preliminary Comparative Study in Healthy Volunteers and Patients With Tumors. J Magn Reson Imaging 2024; 60:222-230. [PMID: 37888865 DOI: 10.1002/jmri.29099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/16/2023] [Accepted: 10/16/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND The amide proton transfer-weighted (APTw) imaging for kidney diseases is important. However, the breathing patterns on APTw imaging remains unexplored. PURPOSE This study aimed to investigate the effects of intermittent breath-hold (IBH) and free breathing (FB) on renal 3D-APTw imaging. STUDY TYPE Healthy volunteers were enrolled prospectively, and renal clear cell carcinoma (RCCC) patients were included retrospectively. POPULATION 58 healthy volunteers and 10 RCCC patients. FIELD STRENGTH/SEQUENCE 3-T, turbo spin echo, and fast field echo. ASSESSMENT 3D-APTw imaging was scanned using the IBH and FB methods in volunteers and using the IBH method in RCCC patients. The image quality was evaluated by three observers according to the 5-point Likert scale. Optimal images rated at three points or higher were used to measure the APT values. STATISTICAL ANALYSIS The measurement repeatability was assessed using the intraclass correlation coefficient (ICC) and the Bland-Altman plot. The APT values were analyzed using McNemar's test, one-way analysis of variance, and t test. RESULTS 50 healthy volunteers and 8 RCCC patients were enrolled. Renal 3D-APTw imaging using the IBH method revealed a higher success rate (88% vs 78%). The ICCs were excellent in the IBH group (ICCs > 0.74) and were good in the FB group (ICCs < 0.74). No significant differences in the APT values among various zones using the IBH (P = 0.263) or FB method (P = 0.506). The mean APT value using the IBH method (2.091% ± 0.388%) was slightly lower than the FB method (2.176% ± 0.292%), but no significant difference (P = 0.233). The APT value of RCCC (4.832% ± 1.361%) was considerably higher than normal renal using the IBH method. CONCLUSIONS The study demonstrated that the IBH method substantially increased the image quality of renal 3D-APTw imaging. Furthermore, APT values may vary between normal and tumor tissues. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
Collapse
|
11
|
Liu H, Han X, Chu S, Ma W, Ding W, Li J, Jiang Y. Coexisting PTPN11 and TNNT2 mutations in noonan syndrome with multiple lentigines. QJM 2024; 117:460-461. [PMID: 38366647 DOI: 10.1093/qjmed/hcae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Indexed: 02/18/2024] Open
|
12
|
Aaij R, Abdelmotteleb ASW, Abellan Beteta C, Abudinén F, Ackernley T, Adeva B, Adinolfi M, Adlarson P, Agapopoulou C, Aidala CA, Ajaltouni Z, Akar S, Akiba K, Albicocco P, Albrecht J, Alessio F, Alexander M, Alfonso Albero A, Aliouche Z, Alvarez Cartelle P, Amalric R, Amato S, Amey JL, Amhis Y, An L, Anderlini L, Andersson M, Andreianov A, Andreola P, Andreotti M, Andreou D, Anelli AA, Ao D, Archilli F, Argenton M, Arguedas Cuendis S, Artamonov A, Artuso M, Aslanides E, Atzeni M, Audurier B, Bacher D, Bachiller Perea I, Bachmann S, Bachmayer M, Back JJ, Bailly-Reyre A, Baladron Rodriguez P, Balagura V, Baldini W, Baptista de Souza Leite J, Barbetti M, Barbosa IR, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bassi G, Batsukh B, Battig A, Bay A, Beck A, Becker M, Bedeschi F, Bediaga IB, Beiter A, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Benane G, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Bernet Andres S, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bex J, Bezshyiko I, Bhom J, Bieker MS, Biesuz NV, Billoir P, Biolchini A, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Blago MP, Blake T, Blanc F, Blank JE, Blusk S, Bobulska D, Bocharnikov V, Boelhauve JA, Boente Garcia O, Boettcher T, Bohare A, Boldyrev A, Bolognani CS, Bolzonella R, Bondar N, Borgato F, Borghi S, Borsato M, Borsuk JT, Bouchiba SA, Bowcock TJV, Boyer A, Bozzi C, Bradley MJ, Braun S, Brea Rodriguez A, Breer N, Brodzicka J, Brossa Gonzalo A, Brown J, Brundu D, Buonaura A, Buonincontri L, Burke AT, Burr C, Bursche A, Butkevich A, Butter JS, Buytaert J, Byczynski W, Cadeddu S, Cai H, Calabrese R, Calefice L, Cali S, Calvi M, Calvo Gomez M, Cambon Bouzas J, Campana P, Campora Perez DH, Campoverde Quezada AF, Capelli S, Capriotti L, Caravaca-Mora RC, Carbone A, Carcedo Salgado L, Cardinale R, Cardini A, Carniti P, Carus L, Casais Vidal A, Caspary R, Casse G, Castro Godinez J, Cattaneo M, Cavallero G, Cavallini V, Celani S, Cerasoli J, Cervenkov D, Cesare S, Chadwick AJ, Chahrour I, Charles M, Charpentier P, Chavez Barajas CA, Chefdeville M, Chen C, Chen S, Chernov A, Chernyshenko S, Chobanova V, Cholak S, Chrzaszcz M, Chubykin A, Chulikov V, Ciambrone P, Cicala MF, Cid Vidal X, Ciezarek G, Cifra P, Clarke PEL, Clemencic M, Cliff HV, Closier J, Cobbledick JL, Cocha Toapaxi C, Coco V, Cogan J, Cogneras E, Cojocariu L, Collins P, Colombo T, Comerma-Montells A, Congedo L, Contu A, Cooke N, Corredoira I, Correia A, Corti G, Cottee Meldrum JJ, Couturier B, Craik DC, Cruz Torres M, Currie R, Da Silva CL, Dadabaev S, Dai L, Dai X, Dall'Occo E, Dalseno J, D'Ambrosio C, Daniel J, Danilina A, d'Argent P, Davidson A, Davies JE, Davis A, De Aguiar Francisco O, De Angelis C, de Boer J, De Bruyn K, De Capua S, De Cian M, De Freitas Carneiro Da Graca U, De Lucia E, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, De Vellis F, de Vries JA, Debernardis F, Decamp D, Dedu V, Del Buono L, Delaney B, Dembinski HP, Deng J, Denysenko V, Deschamps O, Dettori F, Dey B, Di Nezza P, Diachkov I, Didenko S, Ding S, Dobishuk V, Docheva AD, Dolmatov A, Dong C, Donohoe AM, Dordei F, Dos Reis AC, Douglas L, Downes AG, Duan W, Duda P, Dudek MW, Dufour L, Duk V, Durante P, Duras MM, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Eckstein E, Egede U, Egorychev A, Egorychev V, Eirea Orro C, Eisenhardt S, Ejopu E, Ek-In S, Eklund L, Elashri M, Ellbracht J, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Fabiano F, Falcao LN, Fan Y, Fang B, Fantini L, Faria M, Farmer K, Fazzini D, Felkowski L, Feng M, Feo M, Fernandez Gomez M, Fernez AD, Ferrari F, Ferreira Rodrigues F, Ferreres Sole S, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fleuret F, Fontana M, Fontanelli F, Foreman LF, Forty R, Foulds-Holt D, Franco Sevilla M, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Frontini L, Fu J, Fuehring Q, Fujii Y, Fulghesu T, Gabriel E, Galati G, Galati MD, Gallas Torreira A, Galli D, Gambetta S, Gandelman M, Gandini P, Gao H, Gao R, Gao Y, Gao Y, Gao Y, Garau M, Garcia Martin LM, Garcia Moreno P, García Pardiñas J, Garcia Plana B, Garg KG, Garrido L, Gaspar C, Geertsema RE, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Ghorbanimoghaddam Z, Giambastiani L, Giasemis FI, Gibson V, Giemza HK, Gilman AL, Giovannetti M, Gioventù A, Gironella Gironell P, Giugliano C, Giza MA, Gkougkousis EL, Glaser FC, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Gomez Fernandez S, Goncalves Abrantes F, Goncerz M, Gong G, Gooding JA, Gorelov IV, Gotti C, Grabowski JP, Granado Cardoso LA, Graugés E, Graverini E, Grazette L, Graziani G, Grecu AT, Greeven LM, Grieser NA, Grillo L, Gromov S, Gu C, Guarise M, Guittiere M, Guliaeva V, Günther PA, Guseinov AK, Gushchin E, Guz Y, Gys T, Hadavizadeh T, Hadjivasiliou C, Haefeli G, Haen C, Haimberger J, Hajheidari M, Halewood-Leagas T, Halvorsen MM, Hamilton PM, Hammerich J, Han Q, Han X, Hansmann-Menzemer S, Hao L, Harnew N, Harrison T, Hartmann M, Hasse C, He J, Heijhoff K, Hemmer F, Henderson C, Henderson RDL, Hennequin AM, Hennessy K, Henry L, Herd J, Heuel J, Hicheur A, Hill D, Hollitt SE, Horswill J, Hou R, Hou Y, Howarth N, Hu J, Hu J, Hu W, Hu X, Huang W, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Idzik M, Ilin D, Ilten P, Inglessi A, Iniukhin A, Ishteev A, Ivshin K, Jacobsson R, Jage H, Jaimes Elles SJ, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jiang E, Jiang X, Jiang Y, Jiang YJ, John M, Johnson D, Jones CR, Jones TP, Joshi S, Jost B, Jurik N, Juszczak I, Kaminaris D, Kandybei S, Kang Y, Karacson M, Karpenkov D, Karpov M, Kauniskangas AM, Kautz JW, Keizer F, Keller DM, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Khreich G, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Kleijne N, Klimaszewski K, Kmiec MR, Koliiev S, Kolk L, Konoplyannikov A, Kopciewicz P, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kozachuk A, Kravchenko P, Kravchuk L, Kreps M, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kubat J, Kubis S, Kucewicz W, Kucharczyk M, Kudryavtsev V, Kulikova E, Kupsc A, Kutsenko BK, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Landesa Gomez C, Lane JJ, Lane R, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Lazzeroni C, Le Gac R, Lee SH, Lefèvre R, Leflat A, Legotin S, Lehuraux M, Leroy O, Lesiak T, Leverington B, Li A, Li H, Li K, Li L, Li P, Li PR, Li S, Li T, Li T, Li Y, Li Y, Li Z, Lian Z, Liang X, Lin C, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu K, Liu Q, Liu S, Liu Y, Liu Y, Liu YL, Lobo Salvia A, Loi A, Lomba Castro J, Long T, Lopes JH, Lopez Huertas A, López Soliño S, Lovell GH, Lucarelli C, Lucchesi D, Luchuk S, Lucio Martinez M, Lukashenko V, Luo Y, Lupato A, Luppi E, Lynch K, Lyu XR, Ma GM, Ma R, Maccolini S, Machefert F, Maciuc F, Mackay I, Madhan Mohan LR, Madurai MM, Maevskiy A, Magdalinski D, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malentacca L, Malinin A, Maltsev T, Manca G, Mancinelli G, Mancuso C, Manera Escalero R, Manuzzi D, Marangotto D, Marchand JF, Marchevski R, Marconi U, Mariani S, Marin Benito C, Marks J, Marshall AM, Marshall PJ, Martelli G, Martellotti G, Martinazzoli L, Martinelli M, Martinez Santos D, Martinez Vidal F, Massafferri A, Materok M, Matev R, Mathad A, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mayencourt P, Mazurek M, McCann M, Mcconnell L, McGrath TH, McHugh NT, McNab A, McNulty R, Meadows B, Meier G, Melnychuk D, Merk M, Merli A, Meyer Garcia L, Miao D, Miao H, Mikhasenko M, Milanes DA, Minotti A, Minucci E, Miralles T, Mitchell SE, Mitreska B, Mitzel DS, Modak A, Mödden A, Mohammed RA, Moise RD, Mokhnenko S, Mombächer T, Monk M, Monroy IA, Monteil S, Morcillo Gomez A, Morello G, Morello MJ, Morgenthaler MP, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Mu ZM, Muhammad E, Muheim F, Mulder M, Müller K, Mũnoz-Rojas F, Murta R, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri N, Neubert S, Neufeld N, Neustroev P, Newcombe R, Nicolini J, Nicotra D, Niel EM, Nikitin N, Nogga P, Nolte NS, Normand C, Novoa Fernandez J, Nowak G, Nunez C, Nur HN, Oblakowska-Mucha A, Obraztsov V, Oeser T, Okamura S, Okhotnikov A, Oldeman R, Oliva F, Olocco M, Onderwater CJG, O'Neil RH, Otalora Goicochea JM, Ovsiannikova T, Owen P, Oyanguren A, Ozcelik O, Padeken KO, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Panshin G, Paolucci L, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parkes C, Passalacqua B, Passaleva G, Passaro D, Pastore A, Patel M, Patoc J, Patrignani C, Pawley CJ, Pellegrino A, Pepe Altarelli M, Perazzini S, Pereima D, Pereiro Castro A, Perret P, Perro A, Petridis K, Petrolini A, Petrucci S, Pham H, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pinci D, Pisani F, Pizzichemi M, Placinta V, Plo Casasus M, Polci F, Poli Lener M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Ponce S, Popov D, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Puill V, Punzi G, Qi HR, Qian W, Qin N, Qu S, Quagliani R, Rabadan Trejo RI, Rachwal B, Rademacker JH, Rama M, Ramírez García M, Ramos Pernas M, Rangel MS, Ratnikov F, Raven G, Rebollo De Miguel M, Redi F, Reich J, Reiss F, Ren Z, Resmi PK, Ribatti R, Ricart GR, Riccardi D, Ricciardi S, Richardson K, Richardson-Slipper M, Rinnert K, Robbe P, Robertson G, Rodrigues E, Rodriguez Fernandez E, Rodriguez Lopez JA, Rodriguez Rodriguez E, Rogovskiy A, Rolf DL, Rollings A, Roloff P, Romanovskiy V, Romero Lamas M, Romero Vidal A, Romolini G, Ronchetti F, Rotondo M, Roy SR, Rudolph MS, Ruf T, Ruiz Diaz M, Ruiz Fernandez RA, Ruiz Vidal J, Ryzhikov A, Ryzka J, Saborido Silva JJ, Sadek R, Sagidova N, Sahoo N, Saitta B, Salomoni M, Sanchez Gras C, Sanderswood I, Santacesaria R, Santamarina Rios C, Santimaria M, Santoro L, Santovetti E, Saputi A, Saranin D, Sarpis G, Sarpis M, Sarti A, Satriano C, Satta A, Saur M, Savrina D, Sazak H, Scantlebury Smead LG, Scarabotto A, Schael S, Scherl S, Schertz AM, Schiller M, Schindler H, Schmelling M, Schmidt B, Schmitt S, Schmitz H, Schneider O, Schopper A, Schulte N, Schulte S, Schune MH, Schwemmer R, Schwering G, Sciascia B, Sciuccati A, Sellam S, Semennikov A, Senghi Soares M, Sergi A, Serra N, Sestini L, Seuthe A, Shang Y, Shangase DM, Shapkin M, Shchemerov I, Shchutska L, Shears T, Shekhtman L, Shen Z, Sheng S, Shevchenko V, Shi B, Shields EB, Shimizu Y, Shmanin E, Shorkin R, Shupperd JD, Silva Coutinho R, Simi G, Simone S, Skidmore N, Skuza R, Skwarnicki T, Slater MW, Smallwood JC, Smith E, Smith K, Smith M, Snoch A, Soares Lavra L, Sokoloff MD, Soler FJP, Solomin A, Solovev A, Solovyev I, Song R, Song Y, Song Y, Song YS, Souza De Almeida FL, Souza De Paula B, Spadaro Norella E, Spedicato E, Speer JG, Spiridenkov E, Spradlin P, Sriskaran V, Stagni F, Stahl M, Stahl S, Stanislaus S, Stein EN, Steinkamp O, Stenyakin O, Stevens H, Strekalina D, Su Y, Suljik F, Sun J, Sun L, Sun Y, Swallow PN, Swientek K, Swystun F, Szabelski A, Szumlak T, Szymanski M, Tan Y, Taneja S, Tat MD, Terentev A, Terzuoli F, Teubert F, Thomas E, Thompson DJD, Tilquin H, Tisserand V, T'Jampens S, Tobin M, Tomassetti L, Tonani G, Tong X, Torres Machado D, Toscano L, Tou DY, Trippl C, Tuci G, Tuning N, Uecker LH, Ukleja A, Unverzagt DJ, Ursov E, Usachov A, Ustyuzhanin A, Uwer U, Vagnoni V, Valassi A, Valenti G, Valls Canudas N, Van Hecke H, van Herwijnen E, Van Hulse CB, Van Laak R, van Veghel M, Vazquez Gomez R, Vazquez Regueiro P, Vázquez Sierra C, Vecchi S, Velthuis JJ, Veltri M, Venkateswaran A, Vesterinen M, Vieira D, Vieites Diaz M, Vilasis-Cardona X, Vilella Figueras E, Villa A, Vincent P, Volle FC, Vom Bruch D, Vorobyev V, Voropaev N, Vos K, Vouters G, Vrahas C, Walsh J, Walton EJ, Wan G, Wang C, Wang G, Wang J, Wang J, Wang J, Wang J, Wang M, Wang NW, Wang R, Wang X, Wang XW, Wang Y, Wang Z, Wang Z, Wang Z, Ward JA, Watson NK, Websdale D, Wei Y, Westhenry BDC, White DJ, Whitehead M, Wiederhold AR, Wiedner D, Wilkinson G, Wilkinson MK, Williams M, Williams MRJ, Williams R, Wilson FF, Wislicki W, Witek M, Witola L, Wong CP, Wormser G, Wotton SA, Wu H, Wu J, Wu Y, Wyllie K, Xian S, Xiang Z, Xie Y, Xu A, Xu J, Xu L, Xu L, Xu M, Xu Z, Xu Z, Xu Z, Yang D, Yang S, Yang X, Yang Y, Yang Z, Yang Z, Yeroshenko V, Yeung H, Yin H, Yu CY, Yu J, Yuan X, Zaffaroni E, Zavertyaev M, Zdybal M, Zeng M, Zhang C, Zhang D, Zhang J, Zhang L, Zhang S, Zhang S, Zhang Y, Zhang Y, Zhang YZ, Zhao Y, Zharkova A, Zhelezov A, Zheng XZ, Zheng Y, Zhou T, Zhou X, Zhou Y, Zhovkovska V, Zhu LZ, Zhu X, Zhu X, Zhu Z, Zhukov V, Zhuo J, Zou Q, Zuliani D, Zunica G. Modification of χ_{c1}(3872) and ψ(2S) Production in pPb Collisions at sqrt[s_{NN}]=8.16 TeV. PHYSICAL REVIEW LETTERS 2024; 132:242301. [PMID: 38949352 DOI: 10.1103/physrevlett.132.242301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/17/2024] [Indexed: 07/02/2024]
Abstract
The LHCb Collaboration measures production of the exotic hadron χ_{c1}(3872) in proton-nucleus collisions for the first time. Comparison with the charmonium state ψ(2S) suggests that the exotic χ_{c1}(3872) experiences different dynamics in the nuclear medium than conventional hadrons, and comparison with data from proton-proton collisions indicates that the presence of the nucleus may modify χ_{c1}(3872) production rates. This is the first measurement of the nuclear modification factor of an exotic hadron.
Collapse
|
13
|
Ablikim M, Achasov MN, Adlarson P, Afedulidis O, Ai XC, Aliberti R, Amoroso A, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Bao HR, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Che GR, Chelkov G, Chen C, Chen CH, Chen C, Chen G, Chen HS, Chen HY, Chen ML, Chen SJ, Chen SL, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Chen ZY, Choi SK, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng CQ, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan ZH, Egorov P, Fan YH, Fang J, Fang J, Fang SS, Fang WX, Fang Y, Fang YQ, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Feng YT, Fritsch M, Fu CD, Fu JL, Fu YW, Gao H, Gao XB, Gao YN, Gao Y, Garbolino S, Garzia I, Ge L, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Gutierrez J, Han KL, Han TT, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu BY, Hu HM, Hu JF, Hu SL, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hölzken F, Hüsken N, In der Wiesche N, Jackson J, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji W, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang D, Jiang HB, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao JK, Jiao Z, Jin S, Jin Y, Jing MQ, Jing XM, Johansson T, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khachatryan V, Khoukaz A, Kiuchi R, Kolcu OB, Kopf B, Kuessner M, Kui X, Kumar N, Kupsc A, Kühn W, Lane JJ, Larin P, Lavezzi L, Lei TT, Lei ZH, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li QM, Li QX, Li R, Li SX, Li T, Li WD, Li WG, Li X, Li XH, Li XL, Li XZ, Li X, Li YG, Li ZJ, Li ZX, Liang C, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CC, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZD, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma H, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma T, Ma XT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Moses B, Muchnoi NY, Muskalla J, Nefedov Y, Nerling F, Nie LS, Nikolaev IB, Ning Z, Nisar S, Niu QL, Niu WD, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peng YY, Peters K, Ping JL, Ping RG, Plura S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qiao XK, Qin JJ, Qin LQ, Qin LY, Qin XS, Qin ZH, Qiu JF, Qu ZH, Redmer CF, Ren KJ, Rivetti A, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shang ZJ, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi H, Shi HC, Shi JL, Shi JY, Shi QQ, Shi SY, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZQ, Sun ZT, Tang CJ, Tang GY, Tang J, Tang M, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Tian ZF, Uman I, Wan Y, Wang SJ, Wang B, Wang BL, Wang B, Wang DY, Wang F, Wang HJ, Wang JJ, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang NY, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang XN, Wang Y, Wang YD, Wang YF, Wang YL, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, Wen YR, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YH, Wu YJ, Wu Z, Xia L, Xian XM, Xiang BH, Xiang T, Xiao D, Xiao GY, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu M, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yu YC, Yuan CZ, Yuan J, Yuan L, Yuan SC, Yuan Y, Yuan YJ, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng SH, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang H, Zhang HC, Zhang HH, Zhang HH, Zhang HQ, Zhang HR, Zhang HY, Zhang J, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JS, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang LM, Zhang L, Zhang P, Zhang QY, Zhang RY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang YM, Zhang Y, Zhang Y, Zhang ZD, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhang ZZ, Zhao G, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao N, Zhao RP, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng BM, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou JY, Zhou LP, Zhou S, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu KS, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WD, Zhu YC, Zhu ZA, Zou JH, Zu J. First Study of Antihyperon-Nucleon Scattering Λ[over ¯]p→Λ[over ¯]p and Measurement of Λp→Λp Cross Section. PHYSICAL REVIEW LETTERS 2024; 132:231902. [PMID: 38905649 DOI: 10.1103/physrevlett.132.231902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 06/23/2024]
Abstract
Using (10.087±0.044)×10^{9} J/ψ events collected with the BESIII detector at the BEPCII storage ring, the processes Λp→Λp and Λ[over ¯]p→Λ[over ¯]p are studied, where the Λ/Λ[over ¯] baryons are produced in the process J/ψ→ΛΛ[over ¯] and the protons are the hydrogen nuclei in the cooling oil of the beam pipe. Clear signals are observed for the two reactions. The cross sections in -0.9≤cosθ_{Λ/Λ[over ¯]}≤0.9 are measured to be σ(Λp→Λp)=(12.2±1.6_{stat}±1.1_{syst}) and σ(Λ[over ¯]p→Λ[over ¯]p)=(17.5±2.1_{stat}±1.6_{syst}) mb at the Λ/Λ[over ¯] momentum of 1.074 GeV/c within a range of ±0.017 GeV/c, where the θ_{Λ/Λ[over ¯]} are the scattering angles of the Λ/Λ[over ¯] in the Λp/Λ[over ¯]p rest frames. Furthermore, the differential cross sections of the two reactions are also measured, where there is a slight tendency of forward scattering for Λp→Λp, and a strong forward peak for Λ[over ¯]p→Λ[over ¯]p. We present an approach to extract the total elastic cross sections by extrapolation. The study of Λ[over ¯]p→Λ[over ¯]p represents the first study of antihyperon-nucleon scattering, and these new measurements will serve as important inputs for the theoretical understanding of the (anti)hyperon-nucleon interaction.
Collapse
|
14
|
Shi L, Xia XM, Hou XH, Liu JF, Nian X, Jiang Y, Song YX, Xu YS. [Epidemiological investigation and risk factors of diabetic retinopathy in Yunnan Province]. ZHONGHUA NEI KE ZA ZHI 2024; 63:613-617. [PMID: 38825931 DOI: 10.3760/cma.j.cn112138-20230928-00168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
To investigate the prevalence and epidemiological characteristics of diabetic retinopathy (DR) in Yunnan Province, explore its risk factors, and provide a basis for the prevention and treatment of chronic complications of diabetes mellitus (DM). This is a large cross-sectional study, in all, 1 524 DM patients in 16 communities and villages of Yunnan Province who were registered in health service centers were included in this study from August to November 2019. All patients completed a uniform questionnaire, anthropometric measurements, biochemical measurements, and auxiliary examinations. Logistic regression analysis was used to screen the risk factors of DR. The prevalence rates of DR, mild non-proliferative DR (mild-NPDR), and referable DR (RDR) were 16.0% (244/1 524), 4.5% (69/1 524), and 11.5% (175/1 524), respectively. Glycated hemoglobin A1c (HbA1c)≥7.0% was the risk factor of mild-NPDR (OR=1.872, 95%CI 1.055-3.323) and RDR (OR=4.821, 95%CI 2.917-7.969). Blood pressure≥130/80 mmHg (1 mmHg=0.133 kPa) was the risk factor of mild-NPDR (OR=1.933, 95%CI 1.112-3.358) and RDR (OR=1.505, 95%CI 1.063-2.130). In Yunnan Province, 16.0% DM patients had accompanying DR, wherein about 71.7% of them required an ophthalmology referral, and the high incidence of RDR in DM patients was associated with poor control of blood glucose and blood pressure.
Collapse
|
15
|
Zhang Z, Xu B, Wang L, Yan X, Li S, Jiang Y, Yu L. Diagnostic value of serum squamous cell carcinoma antigen and cytokeratin fragment antigen 21-1 for sinonasal inverted papilloma: an exploratory study. Rhinology 2024; 62:353-361. [PMID: 38189590 DOI: 10.4193/rhinrhin23.325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
BACKGROUND Serum tumor markers have not yet been developed for the clinical diagnosis and treatment of sinonasal inverted papilloma (SNIP), one of the most significant sinonasal tumors. Therefore, this study aimed to determine the diagnostic value of serum squamous cell carcinoma antigen (SCCA) and cytokeratin fragment antigen 21-1 (CYFRA 21-1) for SNIP. METHODS Clinical data were obtained from 101, 56, and 116 patients with SNIP, sinonasal squamous cell carcinoma (SNSCC), and unilateral chronic rhinosinusitis (CRS), respectively. Preoperative serum SCCA and CYFRA 21-1 levels were compared, and logistic regression analyses were performed to screen serum tumor markers, which may be used to diagnose SNIP. Diagnostic cut-off values were determined using receiver operating characteristic (ROC) curves, and their diagnostic power was verified. RESULTS Serum SCCA and CYFRA 21-1 differentiated SNIP from CRS with the cut-off values of 1.97 ng/mL and 2.64 ng/mL and the areas under the ROC curves (AUC) of 0.895 and 0.766, respectively, and the AUC of the combination of the two markers was 0.909. CYFRA 21-1 differentiated SNIP with malignant transformation from that without malignant transformation with a cut-off value of 3.51 ng/mL and an AUC of 0.938. CYFRA 21-1 distinguished SNIP with malignant transformation from SNSCC with a cut-off value of 3.55 ng/mL and an AUC of 0.767. CONCLUSIONS This study provides novel potential diagnostic tools for SNIP by demonstrating the use of serum SCCA and CYFRA 21-1 in the diagnosis of SNIP.
Collapse
|
16
|
Chen P, Zhang J, Jiang Y, Li Y, Song L, Hu F, Yu Y. A new dataset of oral panoramic x-ray images and parallel network using transformers for medical image segmentation. JOURNAL OF STOMATOLOGY, ORAL AND MAXILLOFACIAL SURGERY 2024; 125:101700. [PMID: 37979781 DOI: 10.1016/j.jormas.2023.101700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 11/20/2023]
Abstract
INTRODUCTION Accurate segmentation of the key mandibular region in the oral panoramic X-ray image is crucial for the diagnosis of the mandibular region and the planning of implant surgery. Because the oral panoramic X-ray image contains many important anatomical information for implant treatment evaluation. However, the fuzzy boundary between each region in the image makes the segmentation task very challenging. In data-driven segmentation methods, corresponding datasets are often required. Due to the limited oral data set at present, there is a bottleneck in clinical application. MATERIALS AND METHODS In this paper, we build a panoramic X-ray image dataset for the mandibular region. The dataset has a total of 711 images. The dataset is divided into 8 categories based on the number of teeth and treatment conditions. The annotations include mandible, normal teeth, treated teeth and implants. In terms of network segmentation. According to the local and global characteristics of the dataset, we designed a CBTrans partition network by paralleling the convolution block and the Swin-transform block of the bottleneck structure. RESULTS The experimental results show that our proposed network achieves excellent performance on the mandibular region segmentation dataset and the common retina dataset DRIVE. CONCLUSION CBTrans can better extract features locally and globally by combining CNN of the bottleneck structure and Swin Transformer in parallel. CBTrans demonstrates performance advantages over other similar hybrid architecture models.
Collapse
|
17
|
De Rubeis V, Griffith LE, Duncan L, Jiang Y, de Groh M, Anderson LN. Self-reported chronic conditions and COVID-19 public health measures among Canadian adults: an analysis of the Canadian longitudinal study on aging. Public Health 2024; 231:99-107. [PMID: 38653017 DOI: 10.1016/j.puhe.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVES During the COVID-19 pandemic, public health measures were used to reduce the spread of COVID-19; it is unknown whether people with chronic conditions differentially adhered to public health measures. The objectives of this study were to evaluate the association between chronic conditions and adherence and to explore effect modification by sex, age, and income. STUDY DESIGN An analysis of data from the Canadian Longitudinal Study on Aging COVID-19 Questionnaires (from April to September 2020) was conducted among middle-aged and older adults aged 50-96 years (n = 28,086). METHODS Self-reported chronic conditions included lung disease, diabetes, heart disease, cancer, obesity, anxiety, and depression. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between chronic conditions and low, medium, and high levels of adherence. Effect modification was evaluated using statistical interaction and stratification. RESULTS Most people (n = 17,435; 62%) had at least one chronic condition, and 2866 (10%) had three to seven chronic conditions. Among those with high adherence to public health measures, 69% had one or more chronic condition (n = 2266). Having three to seven chronic conditions, compared with none, was associated with higher adherence to public health measures (OR: 2.14; 95% CI: 1.12-1.42). Higher adherence was also noted across chronic conditions, for example, those with diabetes had higher adherence (OR: 1.72; 95% CI: 1.53-1.93). There was limited evidence of effect modification by sex, age, or income. CONCLUSIONS Canadians with chronic conditions were more likely to adhere to public health measures; however, future research is needed to understand whether adherence helped to prevent adverse COVID-19 outcomes and if adherence had unintended consequences.
Collapse
|
18
|
Hu HH, Mu T, Zhang ZB, Zhang JX, Feng X, Han LY, Hao F, Ma YF, Jiang Y, Ma Y. Genetic analysis of health traits and their associations with longevity, fertility, production, and conformation traits in Holstein cattle. Animal 2024; 18:101177. [PMID: 38797058 DOI: 10.1016/j.animal.2024.101177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Health traits have high economic values in dairy cattle breeding, which can cause considerable financial loss through involuntary culling. In this study, fourteen health traits were analysed, including five composite health traits: reproductive disorders, udder health (UH), digestive disorders, metabolic disorders, locomotory diseases (LD), and nine independent health traits: gestation disorders and peripartum disorders, irregular estrus cycle and sterility, metritis (ME), mastitis (MA), abomasal displacement (AD), enteritis (EN), and ketosis, claw diseases (CD), laminitis complex. This study analysed variance components for health traits through both single and bivariate repeatability animal models. All health traits showed low heritability, ranging from 0.001 to 0.025. Most of the health traits in five categories showed negative genetic correlations, ranging from -0.012 (CD and EN) to -0.634 (ME and EN). Strong positive genetic correlations appeared within the same category, ranging from 0.469 (EN and AD) to 0.994 (UH and MA, LD and CD). Furthermore, approximate genetic correlations were evaluated between health traits and routinely collected traits (longevity, fertility, production, and conformation). In general, the low to moderate approximate genetic correlations were estimated between health traits and routinely collected traits. The estimated correlations between health traits and longevity, fertility, production, and conformation traits could provide an indirect reference for disease-resistance breeding in Holstein cattle.
Collapse
|
19
|
Strauss L, Junnila A, Wärri A, Manti M, Jiang Y, Löyttyniemi E, Stener-Victorin E, Lagerquist MK, Kukoricza K, Heinosalo T, Blom S, Poutanen M. Consistent and effective method to define the mouse estrous cycle stage by a deep learning-based model. J Endocrinol 2024; 261:e230204. [PMID: 38593833 DOI: 10.1530/joe-23-0204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/08/2024] [Indexed: 04/11/2024]
Abstract
The mouse estrous cycle is divided into four stages: proestrus (P), estrus (E), metestrus (M), and diestrus (D). The estrous cycle affects reproductive hormone levels in a wide variety of tissues. Therefore, to obtain reliable results from female mice, it is important to know the estrous cycle stage during sampling. The stage can be analyzed from a vaginal smear under a microscope. However, it is time-consuming, and the results vary between evaluators. Here, we present an accurate and reproducible method for staging the mouse estrous cycle in digital whole-slide images (WSIs) of vaginal smears. We developed a model using a deep convolutional neural network (CNN) in a cloud-based platform, Aiforia Create. The CNN was trained by supervised pixel-level multiclass semantic segmentation of image features from 171 hematoxylin-stained samples. The model was validated by comparing the results obtained by CNN with those of four independent researchers. The validation data included three separate studies comprising altogether 148 slides. The total agreement attested by the Fleiss kappa value between the validators and the CNN was excellent (0.75), and when D, E, and P were analyzed separately, the kappa values were 0.89, 0.79, and 0.74, respectively. The M stage is short and not well defined by the researchers. Thus, identification of the M stage by the CNN was challenging due to the lack of proper ground truth, and the kappa value was 0.26. We conclude that our model is reliable and effective for classifying the estrous cycle stages in female mice.
Collapse
|
20
|
Wang Y, Hu J, Sun L, Zhou B, Lin X, Zhang Q, Wang O, Jiang Y, Xia W, Xing X, Li M. Correlation of serum DKK1 level with skeletal phenotype in children with osteogenesis imperfecta. J Endocrinol Invest 2024:10.1007/s40618-024-02380-9. [PMID: 38744806 DOI: 10.1007/s40618-024-02380-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/18/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE We aim to detect serum DKK1 level of pediatric patients with OI and to analyze its relationship with the genotype and phenotype of OI patients. METHODS A cohort of pediatric OI patients and age-matched healthy children were enrolled. Serum levels of DKK1 and bone turnover biomarkers were measured by enzyme-linked immunosorbent assay. Bone mineral density (BMD) was measured by Dual-energy X-ray absorptiometry. Pathogenic mutations of OI were detected by next-generation sequencing and confirmed by Sanger sequencing. RESULTS A total of 62 OI children with mean age of 9.50 (4.86, 12.00) years and 29 healthy children were included in this study. The serum DKK1 concentration in OI children was significantly higher than that in healthy children [5.20 (4.54, 6.32) and 4.08 (3.59, 4.92) ng/mL, P < 0.001]. The serum DKK1 concentration in OI children was negatively correlated with height (r = - 0.282), height Z score (r = - 0.292), ALP concentration (r = - 0.304), lumbar BMD (r = - 0.276), BMD Z score of the lumbar spine and femoral neck (r = - 0.32; r = - 0.27) (all P < 0.05). No significant difference in serum DKK1 concentration was found between OI patients with and without vertebral compression fractures. In patients with spinal deformity (22/62), serum DKK1 concentration was positively correlated with SDI (r = 0.480, P < 0.05). No significant correlation was observed between serum DKK1 concentration and the annual incidence of peripheral fractures, genotype and types of collagen changes in OI children. CONCLUSION The serum DKK1 level was not only significantly elevated in OI children, but also closely correlated to their skeletal phenotype, suggesting that DKK1 may become a new biomarker and a potential therapeutic target of OI.
Collapse
|
21
|
Ablikim M, Achasov MN, Adlarson P, Ai XC, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang TT, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan ZH, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang HJ, Jiang LL, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kui X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuessner MK, Kupsc A, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li KL, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li QX, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Liao YP, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wang SJ, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang X, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. First Observation of a Three-Resonance Structure in e^{+}e^{-}→Nonopen Charm Hadrons. PHYSICAL REVIEW LETTERS 2024; 132:191902. [PMID: 38804946 DOI: 10.1103/physrevlett.132.191902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 03/10/2024] [Accepted: 03/29/2024] [Indexed: 05/29/2024]
Abstract
We report the measurement of the inclusive cross sections for e^{+}e^{-}→nOCH (where nOCH denotes non-open charm hadrons) with improved precision at center-of-mass (c.m.) energies from 3.645 to 3.871 GeV. We observe three resonances: R(3760), R(3780), and R(3810) with significances of 8.1σ, 13.7σ, and 8.8σ, respectively. The R(3810) state is observed for the first time, while the R(3760) and R(3780) states are observed for the first time in the nOCH cross sections. Two sets of resonance parameters describe the energy-dependent line shape of the cross sections well. In set I [set II], the R(3810) state has mass (3805.7±1.1±2.7) [(3805.7±1.1±2.7)] MeV/c^{2}, total width (11.6±2.9±1.9) [(11.5±2.8±1.9)] MeV, and an electronic width multiplied by the nOCH decay branching fraction of (10.9±3.8±2.5) [(11.0±3.4±2.5)] eV. In addition, we measure the branching fractions B[R(3760)→nOCH]=(25.2±16.1±30.4)%[(6.4±4.8±7.7)%] and B[R(3780)→nOCH]=(12.3±6.6±8.3)%[(10.4±4.8±7.0)%] for the first time. The R(3760) state can be interpreted as an open-charm (OC) molecular state, but containing a simple four-quark state component. The R(3810) state can be interpreted as a hadrocharmonium state.
Collapse
|
22
|
Ablikim M, Achasov MN, Adlarson P, Ai XC, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Bao HR, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SL, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan ZH, Egorov P, Fan YH, Fang J, Fang SS, Fang WX, Fang Y, Fang YQ, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Feng YT, Fischer K, Fritsch M, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Gutierrez J, Han KL, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu BY, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, In der Wiesche N, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang HB, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Jing XM, Johansson T, Kui X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khachatryan V, Khoukaz A, Kiuchi R, Kolcu OB, Kopf B, Kuessner M, Kupsc A, Kühn W, Lane JJ, Larin P, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li QX, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Liang C, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Liao YP, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma H, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Moses B, Muchnoi NY, Muskalla J, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu QL, Niu WD, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peng YY, Peters K, Ping JL, Ping RG, Plura S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wan Y, Wang SJ, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang NY, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YL, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YH, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng SH, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HC, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang J, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZD, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao RP, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. Determination of Spin-Parity Quantum Numbers of X(2370) as 0^{-+} from J/ψ→γK_{S}^{0}K_{S}^{0}η^{'}. PHYSICAL REVIEW LETTERS 2024; 132:181901. [PMID: 38759175 DOI: 10.1103/physrevlett.132.181901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/05/2024] [Accepted: 03/28/2024] [Indexed: 05/19/2024]
Abstract
Based on (10087±44)×10^{6} J/ψ events collected with the BESIII detector, a partial wave analysis of the decay J/ψ→γK_{S}^{0}K_{S}^{0}η^{'} is performed. The mass and width of the X(2370) are measured to be 2395±11(stat)_{-94}^{+26}(syst) MeV/c^{2} and 188_{-17}^{+18}(stat)_{-33}^{+124}(syst) MeV, respectively. The corresponding product branching fraction is B[J/ψ→γX(2370)]×B[X(2370)→f_{0}(980)η^{'}]×B[f_{0}(980)→K_{S}^{0}K_{S}^{0}]=(1.31±0.22(stat)_{-0.84}^{+2.85}(syst))×10^{-5}. The statistical significance of the X(2370) is greater than 11.7σ and the spin parity is determined to be 0^{-+} for the first time. The measured mass and spin parity of the X(2370) are consistent with the predictions of the lightest pseudoscalar glueball.
Collapse
|
23
|
Cao Q, Pang QY, Sun SF, Jiang Y, Liu HL. The safety and efficacy of balanced crystalloid vs. normal saline in non-cardiac surgeries - A systematic review and meta-analysis. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2024; 28:3347-3364. [PMID: 38766792 DOI: 10.26355/eurrev_202405_36180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
OBJECTIVE Balanced crystalloid and normal saline are routinely used in clinical anesthesia, but their safety and efficacy in non-cardiac surgeries are still unclear. MATERIALS AND METHODS PubMed, Embase, Web of Science, Cochrane Library, Wanfang, and CNKI, from January 1980 to March 2023, were searched. Studies comparing balanced crystalloid (BC) with normal saline (NS) during non-cardiac surgeries were included. The primary outcomes were clinical outcomes (acidosis, renal insufficiency, and mortality), and the secondary outcomes were pH value, Na+, Cl- and creatinine levels, and vasopressor requirement. RESULTS Forty-three RCTs were included in this meta-analysis. Low evidence revealed that the development of acidosis was lower in the BC group than in the NS group (OR: 0.05, 95% CI: 0.01-0.43, I2=80.8%, p=0.00), and no between-group difference exists in renal insufficiency and mortality. At the end of surgery and on postoperative day 1 (POD 1), the pH value was higher, and the levels of Na+ and Cl- were lower in the BC group. No between-group difference exists in creatinine level and vasopressor requirement. CONCLUSIONS Perioperative balanced crystalloids can maintain the stability of acid-base and electrolyte balance and reduce acidosis compared with saline, but they cannot reduce postoperative renal insufficiency and mortality.
Collapse
|
24
|
Qi Q, Jiang Y, Zhou X, Lü Y, Xiao R, Bai J, Lou H, Sun W, Lian Y, Hao N, Li M, Chang J. Whole-genome sequencing analysis in fetal structural anomalies: novel phenotype-genotype discoveries. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:664-671. [PMID: 37842862 DOI: 10.1002/uog.27517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/28/2023] [Accepted: 10/03/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVES The identification of structural variants and single-nucleotide variants is essential in finding molecular etiologies of monogenic genetic disorders. Whole-genome sequencing (WGS) is becoming more widespread in genetic disease diagnosis. However, data on its clinical utility remain limited in prenatal practice. We aimed to expand our understanding of implementing WGS in the genetic diagnosis of fetal structural anomalies. METHODS We employed trio WGS with a minimum coverage of 40× on the MGI DNBSEQ-T7 platform in a cohort of 17 fetuses presenting with aberrations detected by ultrasound, but uninformative findings of standard chromosomal microarray analysis (CMA) and exome sequencing (ES). RESULTS Causative genetic variants were identified in two families, with an increased diagnostic yield of 11.8% (2/17). Both were exon-level copy-number variants of small size (3.03 kb and 5.16 kb) and beyond the detection thresholds of CMA and ES. Moreover, to the best of our knowledge, we have described the first prenatal instance of the association of FGF8 with holoprosencephaly and facial deformities. CONCLUSIONS Our analysis demonstrates the clinical value of WGS in the diagnosis of the underlying etiology of fetuses with structural abnormalities, when routine genetic tests have failed to provide a diagnosis. Additionally, the novel variants and new fetal manifestations have expanded the mutational and phenotypic spectrums of BBS9 and FGF8. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
|
25
|
Ablikim M, Achasov MN, Adlarson P, Ai XC, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Bao HR, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang TT, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SL, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du MC, Du SX, Duan ZH, Egorov P, Fan YH, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo MJ, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou XT, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, In der Wiesche N, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia XQ, Jia ZK, Jiang HJ, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Jing XM, Johansson T, K X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuessner M, Kupsc A, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li KL, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li QX, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Liao YP, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma H, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muskalla J, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu QL, Niu WD, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peng YY, Peters K, Ping JL, Ping RG, Plura S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wang SJ, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang JP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YH, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Yao ZP, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhai YC, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HC, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang X, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao RP, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. Observation of Structures in the Processes e^{+}e^{-}→ωχ_{c1} and ωχ_{c2}. PHYSICAL REVIEW LETTERS 2024; 132:161901. [PMID: 38701481 DOI: 10.1103/physrevlett.132.161901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/13/2024] [Accepted: 03/22/2024] [Indexed: 05/05/2024]
Abstract
We present measurements of the Born cross sections for the processes e^{+}e^{-}→ωχ_{c1} and ωχ_{c2} at center-of-mass energies sqrt[s] from 4.308 to 4.951 GeV. The measurements are performed with data samples corresponding to an integrated luminosity of 11.0 fb^{-1} collected with the BESIII detector operating at the Beijing Electron Positron Collider storage ring. Assuming the e^{+}e^{-}→ωχ_{c2} signals come from a single resonance, the mass and width are determined to be M=(4413.6±9.0±0.8) MeV/c^{2} and Γ=(110.5±15.0±2.9) MeV, respectively, which is consistent with the parameters of the well-established resonance ψ(4415). In addition, we also use one single resonance to describe the e^{+}e^{-}→ωχ_{c1} line shape and determine the mass and width to be M=(4544.2±18.7±1.7) MeV/c^{2} and Γ=(116.1±33.5±1.7) MeV, respectively. The structure of this line shape, observed for the first time, requires further understanding.
Collapse
|