scholarly journals A polarization relation and the measurement of the longitudinal response in pseudoscalar meson electroproduction off the nucleon

2000 ◽  
Vol 8 (1) ◽  
pp. 15-17 ◽  
Author(s):  
H. Schmieden ◽  
L. Tiator
1998 ◽  
Vol 57 (3) ◽  
pp. 1454-1457 ◽  
Author(s):  
M. Vanderhaeghen ◽  
M. Guidal ◽  
J.-M. Laget

1999 ◽  
Vol 60 (1) ◽  
Author(s):  
L. L. Frankfurt ◽  
P. V. Pobylitsa ◽  
M. V. Polyakov ◽  
M. Strikman

2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Wen Qin ◽  
Ling-Yun Dai ◽  
Jorge Portolés

Abstract A coherent study of e+e− annihilation into two (π+π−, K+K−) and three (π+π−π0, π+π−η) pseudoscalar meson production is carried out within the framework of resonance chiral theory in energy region E ≲ 2 GeV. The work of [L.Y. Dai, J. Portolés, and O. Shekhovtsova, Phys. Rev. D88 (2013) 056001] is revisited with the latest experimental data and a joint analysis of two pseudoscalar meson production. Hence, we evaluate the lowest order hadronic vacuum polarization contributions of those two and three pseudoscalar processes to the anomalous magnetic moment of the muon. We also estimate some higher-order additions led by the same hadronic vacuum polarization. Combined with the other contributions from the standard model, the theoretical prediction differs still by (21.6 ± 7.4) × 10−10 (2.9σ) from the experimental value.


2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Magdalena Murawska ◽  
Dimitris Rizopoulos ◽  
Emmanuel Lesaffre

In transplantation studies, often longitudinal measurements are collected for important markers prior to the actual transplantation. Using only the last available measurement as a baseline covariate in a survival model for the time to graft failure discards the whole longitudinal evolution. We propose a two-stage approach to handle this type of data sets using all available information. At the first stage, we summarize the longitudinal information with nonlinear mixed-effects model, and at the second stage, we include the Empirical Bayes estimates of the subject-specific parameters as predictors in the Cox model for the time to allograft failure. To take into account that the estimated subject-specific parameters are included in the model, we use a Monte Carlo approach and sample from the posterior distribution of the random effects given the observed data. Our proposal is exemplified on a study of the impact of renal resistance evolution on the graft survival.


2021 ◽  
Vol 2021 (8) ◽  
Author(s):  
C. A. Flett ◽  
J. A. Gracey ◽  
S. P. Jones ◽  
T. Teubner

Abstract We compute the exclusive electroproduction, γ*p → Vp, of heavy quarkonia V to NLO in the collinear factorisation scheme, which has been formally proven for this process. The inclusion of an off-shell virtuality Q2 carried by the photon extends the photoproduction phase space of the exclusive heavy quarkonia observable to electroproduction kinematics. This process is relevant for diffractive scattering at HERA and the upcoming EIC, as well as at the proposed LHeC and FCC.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 946.2-947
Author(s):  
C. Duncan ◽  
E. Hunter ◽  
C. Koutsothanasi ◽  
M. Salter ◽  
A. Akoulitchev ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic autoimmune disease with substantial immunopathogenic heterogeneity. It is well established that early diagnosis and initiation of effective therapy is crucial to prevent loss of function. Previously, various RA treatment trajectories have been identified, however there are currently no clinically validated biomarkers that can identify these trajectories at the start of treatment. Evaluation of the structural epigenome has revealed that chromosome conformation signatures (CCS) offer great potential as binary, informative biomarkers, and have been previously shown to predict early RA patient response to Methotrexate with 90% sensitivity (1). These signatures can also reveal highly regulated areas of the genome, which may be underpinning disease endotypes.Objectives:The objective of this study was to evaluate the structural epigenome in early RA over longitudinal samples to determine whether it is associated with treatment trajectories.Methods:Patient data and samples were from the Scottish Early Rheumatoid Arthritis (SERA) cohort; a pan-Scotland inception cohort. CDAI, DAS28 ESR and DAS28 CRP measurements were calculated at baseline, 6 months and 12 months to determine longitudinal treatment response. From 3 principal longitudinal response trajectories, 18 patients (who had equivalent disease activity at baseline) were chosen to investigate the structural epigenome. These 18 comprised of responders (R), non-responders (NR) and initial responders (IR; low disease activity/remission at 6 months but moderate/high disease activity at 12 months) with 6 patients per group at each time point. 20 pooled healthy samples were used as a comparator population. EpiSwitch libraries were probed on 180K Agilent SureSelect custom arrays that were designed using EpiSwitch propriety information and publicly available data from Walshet al(2). Microarray data was analysed using the Limma package within R studio.Results:EpiSwitch array analysis showed that there were >10,000 statistically significant differential chromosomal loops between R, NR and IR. Evaluation of the 3 trajectory groups (R, NR and IR), taking into account the healthy chromosomal conformation, revealed an RA-associated structural epigenome that comprised of 10,445 chromosomal loops that were stable, over the three time points. Subsequent analysis of the distinct treatment trajectories demonstrated that 3683 of the stable, disease-associated chromosomal loops were shared by all 3. However, 4496 were associated with distinct response trajectories, with 1221, 2574 and 701 loops unique to R, NR and IR respectively.Conclusion:The stable chromosomal architecture unique to each treatment trajectory suggests that various underlying molecular endotypes may exist. Moreover, the stable loops common to all groups allude to a baseline level of dysregulation in RA and offers the potential to discover novel drivers of disease. This work provides the foundation to further our understanding of RA pathogenesis and the potential of finding a biomarker that would be of significant value in a clinical setting.References:[1] Carini, C., Hunter, E., Scottish Early Rheumatoid Arthritis Inception cohort Investigators, Ramadass, A. S., Green, J., Akoulitchev, A., et al. (2018). Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis.Journal of Translational Medicine,16(1), 18–11[2] Walsh, A. M., Whitaker, J. W., Huang, C. C., Cherkas, Y., Lamberth, S. L., Brodmerkel, C., et al. (2016). Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.Genome Biology,17(1), 2205Disclosure of Interests:Caitlin Duncan: None declared, Ewan Hunter: None declared, Christina Koutsothanasi: None declared, Matthew Salter: None declared, Alexandre Akoulitchev: None declared, Iain McInnes Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB, Carl Goodyear: None declared


JETP Letters ◽  
2015 ◽  
Vol 101 (12) ◽  
pp. 844-844 ◽  
Author(s):  
D. Yu. Ivanov ◽  
L. Szymanowski ◽  
G. Krasnikov

1979 ◽  
Vol 19 (11) ◽  
pp. 3185-3196 ◽  
Author(s):  
R. Dixon ◽  
R. Galik ◽  
D. Larson ◽  
A. Silverman ◽  
M. Herzlinger ◽  
...  

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