Quantum metrology studies the ultimate limit of precision in estimating a physical quantity if quantum strategies are exploited. Here we investigate the evolution of a two-level atom as a detector which interacts with a massless scalar field using the master equation approach for open quantum system. We employ local quantum estimation theory to estimate the Unruh temperature when probed by a uniformly accelerated detector in the Minkowski vacuum. In particular, we evaluate the Fisher information (FI) for population measurement, maximize its value over all possible detector preparations and evolution times, and compare its behavior with that of the quantum Fisher information (QFI). We find that the optimal precision of estimation is achieved when the detector evolves for a long enough time. Furthermore, we find that in this case the FI for population measurement is independent of initial preparations of the detector and is exactly equal to the QFI, which means that population measurement is optimal. This result demonstrates that the achievement of the ultimate bound of precision imposed by quantum mechanics is possible. Finally, we note that the same configuration is also available to the maximum of the QFI itself.
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http://dx.doi.org/10.1038/srep07946 | DOI Listing |
Clin Pharmacokinet
January 2025
Facultés de Médecine et de Pharmacie de Lyon, Univ Lyon, Université Claude Bernard Lyon 1, Lyon, France.
Background And Objective: Limited information is available on the pharmacokinetics of rifampicin (RIF) along with that of its active metabolite, 25-deacetylrifampicin (25-dRIF). This study aimed to analyse the pharmacokinetic data of RIF and 25-dRIF collected in adult patients treated for tuberculosis.
Methods: In adult patients receiving 10 mg/kg of RIF as part of a standard regimen for drug-susceptible pulmonary tuberculosis enrolled in the Opti-4TB study, plasma RIF and 25-dRIF concentrations were measured at various occasions.
J Gen Intern Med
January 2025
Department of Medicine, Weill Cornell Medicine, 525 E 68th St., New York, NY, 10065, USA.
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) are ongoing, relapsing, or new symptoms present at least 3 months after infection. Predictors of PASC, particularly across diverse racial and ethnic groups, remain unclear.
Objectives: Assess the prevalence of PASC 1 year after infection, examining differences in PASC prevalence by the social construct of race.
EMBO Mol Med
January 2025
Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
The exposome is the measure of all the exposures of an individual in a lifetime and how those exposures relate to health. Exposomics is the emerging field of research to measure and study the totality of the exposome. Exposomics can assist with molecular medicine by furthering our understanding of how the exposome influences cellular and molecular processes such as gene expression, epigenetic modifications, metabolic pathways, and immune responses.
View Article and Find Full Text PDFPediatr Res
January 2025
Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Background: This study aimed to investigate associations between sociodemographic factors and dietary intake among a diverse population of early adolescents ages 10-13 years in the United States.
Methods: We examined data from the Adolescent Brain Cognitive Development (ABCD) Study in Year 2 (2018-2020, ages 10-13 years, N = 10,280). Multivariable linear regression models were conducted to estimate the adjusted associations between sociodemographic factors (age, sex, race and ethnicity, household income, parental education) and dietary intake of various food groups, measured by the Block Kids Food Screener.
Sci Rep
January 2025
Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA, 02138, USA.
Against the backdrop of increasing ethnic diversity in the U.S., we replicate, extend, and challenge previous examinations of the American = White/Foreign = Asian stereotype in the largest sample to date (N = 666,623 respondents) over 17 years (2007-2023).
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