Newton-Cartan Gravity and Torsion

We compare the gauging of the Bargmann algebra, for the case of arbitrary torsion, with the result that one obtains from a null-reduction of General Relativity. Whereas the two procedures lead to the same result for Newton-Cartan geometry with arbitrary torsion, the null-reduction of the Einstein equations necessarily leads to Newton-Cartan gravity with zero torsion. We show, for three space-time dimensions, how Newton-Cartan gravity with arbitrary torsion can be obtained by starting from a Schroedinger field theory with dynamical exponent z=2 for a complex compensating scalar and next coupling this field theory to a z=2 Schroedinger geometry with arbitrary torsion. The latter theory can be obtained from either a gauging of the Schroedinger algebra, for arbitrary torsion, or from a null-reduction of conformal gravity.Comment: 21 page

第791回 千葉医学会例会・第22回 麻酔科例会・第44回 千葉麻酔懇話会 9.

Correlations of plasma PIM-1 levels and clinicopathological parameters. (XLSX 11 kb

Correlation of ultrasonography synovitis with disease activity and clinical response to etanercept treatment in juvenile idiopathic arthritis patients

This study aimed to investigate the correlation of ultrasonography (US) of synovitis with disease activity and clinical response to etanercept (ETN) in juvenile idiopathic arthritis (JIA) patients. Eighty-two JIA patients who underwent ETN treatment for 24 weeks were consecutively enrolled. US evaluations of 28 joints (shoulder, elbow, wrist, metacarpophalangeal, and proximal interphalangeal of hands and knee) at baseline were performed using grey-scale US and power doppler (PD) US, and US synovitis was defined as grey-scale abnormalities or PD abnormalities. Clinical response was assessed according to the ACRpedi 50 response criteria. In total, 2296 joints were scanned and 608 (26.5%) joints presented US synovitis, which was numerically higher than clinical synovitis (513 (22.3%)). The mean number of joints showing synovitis on US was 7.42±3.35, which was also numerically higher than that of clinical synovitis (6.26±2.70). The number of joints showing synovitis on US was positively correlated with C-reactive protein, erythrocyte sedimentation rate, number of joints with active disease, number of joints with limited range of motion, physician's global assessment of disease activity, parent/patient global assessment of overall well-being, and childhood health assessment questionnaire score. Most interestingly, the baseline number of joints showing synovitis on US was increased in ACRpedi 50 response JIA patients compared to non-response JIA patients, and it serves as an independent predictive factor for higher clinical response to ETN treatment. In conclusion, US is a more sensitive test to evaluate subclinical synovitis and disease activity in JIA patients, and US synovitis might serve as a marker for predicting increased clinical response rate to ETN treatment.</div

Probing the Conformational Heterogeneity of the Acetylaminofluorene-Modified 2‘-Deoxyguanosine and DNA by ¹⁹F NMR Spectroscopy^†

19F NMR spectroscopy was used to probe the conformation of a DNA adduct derived from the carcinogen 7-fluoro-N-acetyl-2-aminofluorene (FAAF) in three structural contexts:  as a monomer and incorporated into single- and double-stranded DNA. The 19F NMR spectrum of dG-C8-FAAF [N-(deoxyguanosin-8-yl)-N-acetyl-7-fluoro-2-aminofluorene] in methanol at −30 °C exhibited four interconvertible signals in a 11:52:26:11 ratio. Dynamic NMR analysis indicated that the four torsional isomers arise from restricted rotation about the amide (γ) (14.4 kcal/mol) and the guanyl−nitrogen (α) bonds. The conformational heterogeneity persisted in a single strand FAAF-12-mer, d(CTTCTTG[FAAF]ACCTC), whose 19F NMR spectrum at 22 °C and pH 7.0 gave only two signals in a 40:60 ratio, instead of four. The two 19F signals followed a two-site exchange with the rotation barrier of 14.7 kcal/mol about the amide (γ‘) bond. A similar conformational theme was observed in the FAAF-12-mer duplex, d(CTTCTTG[FAAF]ACCTC)·d(GAGGTCAAGAAG), which revealed two 19F resonances in a 41:59 ratio at 22 °C and pH 7.0. According to solvent-induced isotope and magnetic anisotropy effects, the two duplex conformers adopt exclusively a base displacement structure, being different only in their relative acetyl group orientations, cis (γ‘ ∼ 180°) or trans (γ‘ ∼ 0°). Dynamic NMR data indicated that the two conformers do not exchange over a wide range of temperatures. This contrasts with the nonacetylated counterpart, which exhibits an equilibrium between the “B-type” and “stacked” conformers [Zhou, L., et al. (1997) J. Am. Chem. Soc. 119, 5384−5389]. The exclusive stacked nature of the AAF adducts may provide insight into why AAF adducts are more mutagenic and prone to repair than the nonacetylated AF adducts

Fig 8 -

To better study the chloride ion migration in concrete with fly ash or ground granulated blast furnace slag under low fatigue load, a Caputo time fractional-order chloride diffusion model is developed in this paper. The model, grounded in Fick’s second law with a fractional-order derivative, employs an implicit numerical method for discretization, resulting in a fractional-order numerical scheme. The stability and convergence of the scheme are rigorously proven within the paper. The model’s unknown parameters are estimated using genetic algorithm with a grid method. To validate the model’s effectiveness, its numerical solution is juxtaposed with experimental results from chloride erosion studies. Furthermore, the fitting efficacy of the Caputo time fractional-order numerical scheme is compared with that of the classical Fick’s second law numerical scheme and analytical solution. The research findings demonstrate that the fractional-order numerical scheme can more accurately simulate the chloride concentration in concrete containing fly ash or slag. Additionally, the model shows promise in predicting the service life of fly ash or slag concrete.</div

Fig 10 -

RD curves for the proposed algorithm and the standard HEVC codec for 50 images of the planet Mars under different initial QPs: (a)PSNR (b)PSNR-HVS (c)PSNR-HVS-M (d)SSIM (e)MS-SSIM (f)VIFP.</p

Fig 13 -

To better study the chloride ion migration in concrete with fly ash or ground granulated blast furnace slag under low fatigue load, a Caputo time fractional-order chloride diffusion model is developed in this paper. The model, grounded in Fick’s second law with a fractional-order derivative, employs an implicit numerical method for discretization, resulting in a fractional-order numerical scheme. The stability and convergence of the scheme are rigorously proven within the paper. The model’s unknown parameters are estimated using genetic algorithm with a grid method. To validate the model’s effectiveness, its numerical solution is juxtaposed with experimental results from chloride erosion studies. Furthermore, the fitting efficacy of the Caputo time fractional-order numerical scheme is compared with that of the classical Fick’s second law numerical scheme and analytical solution. The research findings demonstrate that the fractional-order numerical scheme can more accurately simulate the chloride concentration in concrete containing fly ash or slag. Additionally, the model shows promise in predicting the service life of fly ash or slag concrete.</div

Fig 10 -

To better study the chloride ion migration in concrete with fly ash or ground granulated blast furnace slag under low fatigue load, a Caputo time fractional-order chloride diffusion model is developed in this paper. The model, grounded in Fick’s second law with a fractional-order derivative, employs an implicit numerical method for discretization, resulting in a fractional-order numerical scheme. The stability and convergence of the scheme are rigorously proven within the paper. The model’s unknown parameters are estimated using genetic algorithm with a grid method. To validate the model’s effectiveness, its numerical solution is juxtaposed with experimental results from chloride erosion studies. Furthermore, the fitting efficacy of the Caputo time fractional-order numerical scheme is compared with that of the classical Fick’s second law numerical scheme and analytical solution. The research findings demonstrate that the fractional-order numerical scheme can more accurately simulate the chloride concentration in concrete containing fly ash or slag. Additionally, the model shows promise in predicting the service life of fly ash or slag concrete.</div

Fig 2 -

To better study the chloride ion migration in concrete with fly ash or ground granulated blast furnace slag under low fatigue load, a Caputo time fractional-order chloride diffusion model is developed in this paper. The model, grounded in Fick’s second law with a fractional-order derivative, employs an implicit numerical method for discretization, resulting in a fractional-order numerical scheme. The stability and convergence of the scheme are rigorously proven within the paper. The model’s unknown parameters are estimated using genetic algorithm with a grid method. To validate the model’s effectiveness, its numerical solution is juxtaposed with experimental results from chloride erosion studies. Furthermore, the fitting efficacy of the Caputo time fractional-order numerical scheme is compared with that of the classical Fick’s second law numerical scheme and analytical solution. The research findings demonstrate that the fractional-order numerical scheme can more accurately simulate the chloride concentration in concrete containing fly ash or slag. Additionally, the model shows promise in predicting the service life of fly ash or slag concrete.</div

The sequence of events.

The sequence of events.</p