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The Fourier harmonics,$$v_2$$v 2 and$$v_3$$v 3 of negative pions are measured at center-of-mass energy per nucleon pair of$$\\sqrt{s_{\\textrm{NN}}}$$s NN = 17.3 GeV around midrapidity by the CERES/NA45 experiment at the CERN SPS in 0–30% central PbAu collisions with a mean centrality of 5.5%. The analysis is performed in two centrality bins as a function of the transverse momentum$$\\mathrm {p_{\\textrm{T}}}$$p T from 0.05 GeV/ c to more than 2 GeV/ c . This is the first measurement of the$$v^{1/3}_{3}/v^{1/2}_{2}$$v 3 1 / 3 / v 2 1 / 2 ratio as a function of transverse momentum at SPS energies, that reveals, independently of the hydrodynamic models, hydrodynamic behavior of the formed system. For$$\\mathrm {p_{\\textrm{T}}}$$p T above 0.5 GeV/ c , the ratio is nearly flat in accordance with the hydrodynamic prediction and as previously observed by the ATLAS and ALICE experiments at the much higher LHC energies. The results are also compared with the SMASH-vHLLE hybrid model predictions, as well as with the SMASH model applied alone.

The Fourier harmonics, v 2 and v 3 of negative pions are measured at center-of-mass energy per nucleon pair of s NN = 17.3 GeV around midrapidity by the CERES/NA45 experiment at the CERN SPS in 0–30% central PbAu collisions with a mean centrality of 5.5%. The analysis is performed in two centrality bins as a function of the transverse momentum p T from 0.05 GeV/ c to more than 2 GeV/ c . This is the first measurement of the v 3 1 / 3 / v 2 1 / 2 ratio as a function of transverse momentum at SPS energies, that reveals, independently of the hydrodynamic models, hydrodynamic behavior of the formed system. For p T above 0.5 GeV/ c , the ratio is nearly flat in accordance with the hydrodynamic prediction and as previously observed by the ATLAS and ALICE experiments at the much higher LHC energies. The results are also compared with the SMASH-vHLLE hybrid model predictions, as well as with the SMASH model applied alone.

Abstract The Fourier harmonics,$$v_2$$v 2 and$$v_3$$v 3 of negative pions are measured at center-of-mass energy per nucleon pair of$$\\sqrt{s_{\\textrm{NN}}}$$s NN = 17.3 GeV around midrapidity by the CERES/NA45 experiment at the CERN SPS in 0–30% central PbAu collisions with a mean centrality of 5.5%. The analysis is performed in two centrality bins as a function of the transverse momentum$$\\mathrm {p_{\\textrm{T}}}$$p T from 0.05 GeV/c to more than 2 GeV/c. This is the first measurement of the$$v^{1/3}_{3}/v^{1/2}_{2}$$v 3 1 / 3 / v 2 1 / 2 ratio as a function of transverse momentum at SPS energies, that reveals, independently of the hydrodynamic models, hydrodynamic behavior of the formed system. For$$\\mathrm {p_{\\textrm{T}}}$$p T above 0.5 GeV/c, the ratio is nearly flat in accordance with the hydrodynamic prediction and as previously observed by the ATLAS and ALICE experiments at the much higher LHC energies. The results are also compared with the SMASH-vHLLE hybrid model predictions, as well as with the SMASH model applied alone.

The huge amount of resources available in the Grids, and the necessity to have the most up-to-date experimental software deployed in all the sites within a few hours, have driven the need for an automatic installation system for the LHC experiments. In this work we describe the ATLAS system for the experiment software installation in LCG/EGEE, based on the Light Job Submission Framework for Installation (LJSFi), an independent job submission framework for generic submission and job tracking in EGEE. LJSFi is able to automatically discover, check, install, test and tag the full set of resources made available in LCG/EGEE to the ATLAS Virtual Organization in a few hours, depending on the site availability.

The Fourier harmonics, \\(v_2\\) and \\(v_3\\) of negative pions are measured at center-of-mass energy per nucleon pair of \\(\\sqrt{s_{\\mathrm{NN}}}\\)= 17.3 GeV around midrapidity by the CERES/NA45 experiment at the CERN SPS in 0--30\\% central PbAu collisions with a mean centrality of 5.5\\%. The analysis is performed in two centrality bins as a function of the transverse momentum \\(\\mathrm{p_{\\mathrm{T}}}\\) from 0.05 GeV/\\(c\\) to more than 2 GeV/\\(c\\). This is the first measurement of the \\(v^{1/3}_{3}/v^{1/2}_{2}\\) ratio as a function of transverse momentum at SPS energies, that reveals, independently of the hydrodynamic models, hydrodynamic behavior of the formed system. For \\(\\mathrm{p_{\\mathrm{T}}}\\) above 0.5 GeV/\\(c\\), the ratio is nearly flat in accordance with the hydrodynamic prediction and as previously observed by the ATLAS and ALICE experiments at the much higher LHC energies. The results are also compared with the SMASH-vHLLE hybrid model predictions, as well as with the SMASH model applied alone.

Differential elliptic flow spectra v2(pT) of \\pi-, K0short, p, \\Lambda have been measured at \\sqrt(s NN)= 17.3 GeV around midrapidity by the CERN-CERES/NA45 experiment in mid-central Pb+Au collisions (10% of \\sigma(geo)). The pT range extends from about 0.1 GeV/c (0.55 GeV/c for \\Lambda) to more than 2 GeV/c. Protons below 0.4 GeV/c are directly identified by dE/dx. At higher pT, proton elliptic flow v2(pT) is derived as a constituent, besides \\pi+ and K+, of the elliptic flow of positive pion candidates. The retrieval requires additional inputs: (i) of the particle composition, and (ii) of v2(pT) of positive pions. For (i), particle ratios obtained by NA49 were adapted to CERES conditions; for (ii), the measured v2(pT) of negative pions is substituted, assuming \\pi+ and \\pi- elliptic flow magnitudes to be sufficiently close. The v2(pT) spectra are compared to ideal-hydrodynamics calculations. In synopsis of the series \\pi- - K0short - p - \\Lambda, flow magnitudes are seen to fall with decreasing pT progressively even below hydro calculations with early kinetic freeze-out (Tf= 160 MeV) leaving not much time for hadronic evolution. The proton v2(pT) data show a downward swing towards low pT with excursions into negative v2 values. The pion-flow isospin asymmetry observed recently by STAR at RHIC, invalidating in principle our working assumption, is found in its impact on proton flow bracketed from above by the direct proton flow data, and not to alter any of our conclusions. Results are discussed in perspective of recent viscous dynamics studies which focus on late hadronic stages.

In 2022, government spending on SNAP totaled $119.4 billion, assisting 41.2 million Americans each month (more than 40% of whom were children).? Because the harms of food insecurity have devastating lifelong effects, prevention must remain a central goal of public health. [...]SNAP participants purchase and consume healthier foods immediately after receiving monthly benefits than later in the same cycle, indicating that increased frequency and value of benefits could improve diet quality more ethically and efficiently than item restrictions.13 Supporters of adding diet quality as a core objective and restricting purchases in SNAP may also suggest that the lack of nutritional standards in the program causes obesity disparities among children and adults. [...]SNAP reduces medical spending and increases health care access. Adults with very low food security are more than 40% as likely as others to develop hypertension, coronary heart disease, and other cardiovascular diseases.18 SNAP reduces the risk of very low food security by roughly 20% and is one of the only safeguards against poverty in the United States; only approximately 4% of SNAP households without children and 10% of SNAP households with children receive cash welfare benefits from the government.19 By successfully improving food security, the structure of SNAP buffers against the harmful effects of poverty and hunger on health.17 Proponents of restrictions argue that SNAP should be modeled after WIC to improve population health.

Objective To quantify the association between attributional ambiguity–the uncertainty of whether an experience is discrimination–and mental health. Methods Using a nationally representative sample of U.S. adults recruited through an online survey by Ipsos (April 23 and May 3, 2021), attributional ambiguity was quantified by asking participants if they experienced anything in the past 6 months that they were unsure was discrimination. The survey also assessed the degree to which these experiences caused participants to feel bothered and to ruminate on them. Multiple linear regression models were used to analyze associations between attributional ambiguity and depressive symptoms and mental health status. Results Black and Hispanic participants reported higher rates of attributional ambiguity than White participants. Experiencing attributional ambiguity was associated with higher levels of depressive symptoms and poorer self-reported mental health status. Among those who reported attributional ambiguity, increases in bother and rumination scores were positively associated with depressive symptoms. Conclusion Attributional ambiguity is an important yet overlooked social determinant of mental health. More research is needed to fully understand the impact of this stressor on population health, particularly among minoritized populations.

Racism perpetuates the unequal distribution of power, resources, and privilege within and between societies to the detriment of marginalized groups. Racialization involves categorizing people based on traits to which socially constructed meaning and value have been ascribed. In public health, this process can manifest when tracking racial health disparities in children, which requires aggregating parent-reported race and ethnicity data into federally recognized categories. The demographic surveys used to characterize children's identity in the United States mirror those administered in adults and typically follow federal race and ethnicity data standards, which include ambiguous response options (eg, other race), \"select all that apply\" directives, and open-ended fields followed by a request specification, with limited guidance for coding and interpretation. These methodological challenges could contribute to nonrandom data missingness and misclassification bias and must be resolved to better harmonize historic data, especially given recent revisions to the country's federal race and ethnicity data standards. We aimed to explore the prevalence of systematic bias within past, current, and recently revised federal race and ethnicity data standards in the United States and develop a standardized method for improving the reporting of child race and ethnicity in public health research, policy, and practice. We developed a replicable decision-making process to uncover racial heterogeneity obscured by key components of US federal race and ethnicity data standards (open-ended and ambiguous response fields). We applied it to a pooled sample of 8 community-based child health studies with 8087 participants and examined changes in the dataset's racial and ethnic diversity. Overall, 93.11% (7530/8087) of parents provided child race and ethnicity data, with 3.73% (281/7530) identified as other race and 9.72% (732/7530) identified as multiracial. In total, 101 distinct open-ended written responses (eg, \"Haitian\") were provided. The replicable decision-making process resulted in 4.02% (303/7530) of children being reallocated from their parent-reported race or ethnicity category, of whom 38.6% (117/303) were moved into the Black category based on written responses. Within the multiracial group, we identified 22 unique combinations, including White-Hispanic (269/732, 36.7%) and White-Black (169/732, 23.08%). These findings demonstrate how the current paradigm of assessing race and ethnicity in the United States may contribute to the erasure and further marginalization of individuals disproportionately enduring the effects of racism. While updated federal race and ethnicity data standards may soon take effect, persistent gaps in demographic and health surveillance will remain. Our data reallocation decision-making process offers a novel and practical framework for harmonizing race and ethnicity data across time, populations, and datasets, emphasizing the relevance and longevity of preexisting datasets and tools. Efforts to build equitable public health surveillance and data systems should expand the survey response options, avoid aggregating diverse populations, and develop new statistical techniques for data analysis.

Contested racial identity—the discrepancy between one’s self-identified race and socially assigned race—is a social determinant of health and may contribute to overweight and obesity. Obesity is associated with a host of short- and long-term health conditions, including cardiovascular disease, a leading cause of death. Individuals racialized as Black, Hispanic, and Latino are at the greatest risk of obesity. Previous research indicates that experiencing interpersonal discrimination is associated with higher body mass index (BMI) in adults, and individuals with a contested racial identity are disproportionately exposed to interpersonal discrimination. However, the association between BMI and contested racial identity is unknown. This cross-sectional study measured the relationship between contested racial identity and perceived everyday discrimination on BMI in a nationally representative sample of US adults. Contested racial identity was measured with a binary variable indicating agreement between participants’ self-identified race and socially assigned race. Weighted unadjusted and adjusted multiple linear regression models quantified the associations between BMI and contested racial identity with and without the mean discrimination score. Covariates included nativity status, income, education, racial identity salience, gender, and age. Among 1689 participants, 18.3% had a contested racial identity. Contested identity was associated with significantly higher BMI ( β = 1.01, 95% CI = 0.06, 1.92), but the relationship was attenuated when adjusting for interpersonal discrimination, suggesting that individuals with contested identity may face a greater risk of obesity due to their disproportionately high exposure to interpersonal racial discrimination. Further research is needed to elucidate the impact of racism on BMI and obesity risk.