Molecules featuring a metal centre in a positive valence surrounded by 1,3-dialkyltrianzenide ligands, M[R-NN-N-R'], were shown to have both high thermal stability and volatility, making them interesting as precursors in chemical vapour deposition (CVD) and atomic layer deposition (ALD). So far, metals from groups 11-14 and lanthanoids form stable triazenides and the In and Ga triazenides have proven to be excellent precursors for InN, InO, GaN and InGaN. We believe the exploration of the triazenides as CVD and ALD precursors has only begun and hope to inspire further research with this perspective.
View Article and Find Full Text PDFT cell bispecific antibodies (TCBs) are a promising new class of therapeutics for relapsed/refractory multiple myeloma. A frequently observed, yet incompletely understood effect of this treatment is the transient reduction of circulating T cell counts, also known as T cell margination (TCM). After administration of the GPRC5D-targeting TCB forimtamig (RG6234), TCM occurred in patients and correlated with cytokine release and soluble B cell maturation antigen decrease.
View Article and Find Full Text PDFIntroduction: Cerebral malaria (CM) is a devastating disease and better understanding of etiologies of the resulting neurologic injury is needed. The purpose of this study is to describe the day-to-day (DTD) pulsatility index (PI) change measured by transcranial Doppler ultrasound (TCD), a novel measure of cerebral and vascular changes, in children with CM.
Methods: A retrospective analysis of 122 children in sub-Saharan Africa with CM and 3 or more sequential TCD measurements was performed.
Background: Health care organizations globally have seen a significant increase in the frequency of cyberattacks in recent years. Cyberattacks cause massive disruptions to health service delivery and directly impact patient safety through disruption and treatment delays. Given the increasing number of cyberattacks in low- and middle-income countries (LMICs), there is a need to explore the interventions put in place to plan for cyberattacks and develop cyber resilience.
View Article and Find Full Text PDFThis study develops a 73-year dataset of water balance components from 1950 to 2022 for the Laurentian Great Lakes Basins. This is carried out using the Large Lakes Statistical Water Balance Model (L2SWBM), which provides a Bayesian statistical framework that assimilates binational input datasets sourced from the United States and Canada. The L2SWBM infers feasible water balance component estimates through this Bayesian framework by constraining the output with a standard water balance equation.
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