Objective: Although combined chemotherapy regimen leads to 80% remission in children with acute lymphocytic leukemia (ALL), malnutrition and altered serum trace elements as a consequence of chemotherapy agents, have become the new issue to deal with. With the aim to evaluate each trace element in childhood ALL, we investiguâtes six main trace elements before and after induction chemotherapy while considering age, gender and chemotherapy protocol as confounding factors. Methods: Thirty-six newly diagnosed ALL children were recruited, and trace elements were assessed by atomic absorption spectrometry technique. Trace elements (Zinc, Copper, Manganese, Magnesium, Chromium and Iron) decreased significantly after induction chemotherapy. Results: Considering the confounding factors, mean difference of elements decreased significantly, except for Chromium. Its mean difference was only significant in children younger than 10 and those who had received standard risk chemotherapy. Conclusion: In conclusion, all the studied trace elements decreased significantly after induction chemotherapy session in ALL children. This highlights the importance of complementary and supplementary management. A larger cohort study with longer follow up is warranted to elucidate the long-term effect of chemotherapy on these trace elements on the general health status, quality of life or risk of relapse in ALL children.

Upcoming galaxy surveys will allow us to probe the growth of the cosmic large-scale structure with improved sensitivity compared to current missions, and will also map larger areas of the sky. This means that in addition to the increased precision in observations, future surveys will also access the ultra-large-scale regime, where commonly neglected effects such as lensing, redshift-space distortions and relativistic corrections become important for calculating correlation functions of galaxy positions. At the same time, several approximations usually made in these calculations, such as the Limber approximation, break down at those scales. The need to abandon these approximations and simplifying assumptions at large scales creates severe issues for parameter estimation methods. On the one hand, exact calculations of theoretical angular power spectra become computationally expensive, and the need to perform them thousands of times to reconstruct posterior probability distributions for cosmological parameters makes the approach unfeasible. On the other hand, neglecting relativistic effects and relying on approximations may significantly bias the estimates of cosmological parameters. In this work, we quantify this bias and investigate how an incomplete modelling of various effects on ultra-large scales could lead to false detections of new physics beyond the standard ΛCDM model. Furthermore, we propose a simple debiasing method that allows us to recover true cosmologies without running the full parameter estimation pipeline with exact theoretical calculations. This method can therefore provide a fast way of obtaining accurate values of cosmological parameters and estimates of exact posterior probability distributions from ultra-large-scale observations.