Novel material composites for dielectric elastomer actuators by Ankit

“…Generally, researchers have tried to modify either of these properties with addition of solid conductive or ceramic fillers, or chemical modification of the elastomer, and this has led to undesirable changes on the other material properties. Drawing inspiration from biological materials like skin, which is a soft material system filled with fluids, a novel composite is synthesized utilizing a solid polymer matrix and a high dielectric constant liquid filler, an ionic liquid. …”
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Structural derivation and crystal chemistry of apatites by White, Timothy John, Dong, Zhili

“…The inclusion of A(1)O6 metaprisms in structure drawings is useful for comparing apatites and condensed-apatites such as Sr5(BO3)3Br. …”
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Innovation and firm survival: the role of timing, funding, and networks by Gao, Ming

“…Overall, particularly noteworthy is the finding that the moderating influence of collaborative networks on firm innovation-survival relationship mainly depends on the types of innovation activities. This study draws on a sample of 229 SMEs in the high-tech nanotechnology industry, which provides a suitable context for our empirical investigation. …”
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Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 co... by Ferrari, AJ, Santomauro, DF, Aali, A, Lacey, BWH, Rodriguez, JAB

“…For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. …”

Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Vollset, SE, Ababneh, HS, Abate, YH, Lacey, BWH, GBD 2021 Forecasting Collaborators

“…The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline.…”