Namrata Singh

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This study focuses on estimating the level density parameters for niobium (Nb) using the unscented transform Kalman filter technique. Niobium is widely utilized in accelerator components, particularly in superconducting radiofrequency cavities. To better understand the design of accelerator components and experimental setups, accurate information on both theoretical predictions and experimental results, including the uncertainties of nuclear reactions involving niobium, is essential. In this study, we have used the unscented transform Kalman filter technique to estimate level density parameters and their correlation matrix for 93 Nb(α,2n)95 Tcand 93 Nb(α,n)96 Tcreactions through the talys nuclear code. We have used the measured experimental nuclear reaction cross sections from this study to estimate the level density parameters for the above nuclear reactions. A comprehensive analysis of uncertainty propagation has been also conducted, encompassing both theoretical predictions and experimentally measured nuclear reaction cross sections. We have calculated uncertainties in both the theoretical calculations using the Monte Carlo method and experimentally measured reaction cross sections through covariance analysis for these nuclear reactions. We have also calculated the correlation matrix of the experimentally measured cross sections for the 93 Nb(α,n)95 Tcand 93 Nb(α,n)96 Tcnuclear reactions.

Frailty & Prefrailty in Patients with RA TNF-α inhibitors associated with higher infection risk

To evaluate lung cancer risk in rheumatoid arthritis (RA) and RA-interstitial lung disease (ILD).

Congress should implement an annual, inflation-based payment update as part of the Medicare payment system for doctors, two rheumatologists write.

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People that Deliver's vision is “a world where health supply chain workforces are empowered and equipped to optimize health outcomes by improving access to health commodities.” However, health supply chain management (HSCM) is not a recognized profession in many low- and middle-income countries (LMICs). HSCM professionalization efforts are essential if health outcomes are to be significantly improved in these countries; this means transforming supply chain management into a recognized profession of the highest integrity.