Background: Since the beginning of COVID-19 pandemic, studies highlight the augmentation in the use of Internet and smartphone, especially among the adolescents. However, little is known about the effect of technology addiction on adolescent mental health following reopening of the schools.
Aim: The study aims to assess the level of technology addiction, life skills, and mental health impact among adolescents during the COVID-19 pandemic in India.
The act of measurement on a quantum state is supposed to "dephase" (dephasing refers to the phenomenon that the states lose phase coherence; then the phases get randomized in interaction with a bath of other oscillators, which is referred to as "decoherence"), then "decohere" and "collapse" (or more precisely "register" and "reduce") the state into one of several eigenstates of the operator corresponding to the observable being measured. This measurement process is sometimes described as outside standard quantum-mechanical evolution and not calculable from Schrödinger's equation. Progress has, however, been made in studying this problem with two main calculation tools-one uses a time-independent Hamiltonian, while a rather more general approach proving that decoherence occurs under some generic conditions.
View Article and Find Full Text PDFWe present the second report of the association between antineutrophil cytoplasm antibodies (ANCA)-associated vasculitis with dermatomyositis (DM). A 47-year-old woman suddenly developed rapidly progressive renal failure in the context of (DM). The kidney biopsy showed focal and segmental necrotizing glomerulonephritis with crescent formation.
View Article and Find Full Text PDFBackground: The early identification of kidney allografts at risk of later dysfunction has implications for clinical practice. Donor quality scoring systems (preoperative) and measures of early allograft function (first week postoperative) have previously shown practical utility. This study aimed to determine the optimal parameter(s) (preoperative and postoperative) with greatest predictive power for the development of subsequent allograft dysfunction.
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