Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.
Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM 2·5 originating from ambient and household air pollution.
Probabilistic computing has emerged as a viable approach to solve hardoptimization problems. Devices with inherent stochasticity can greatly simplifytheir implementation in electronic hardware. Here, we demonstrate intrinsicstochastic resistance switching controlled via electric fields in perovskitenickelates doped with hydrogen. The ability of hydrogen ions to reside invarious metastable configurations in the lattice leads to a distribution oftransport gaps. With experimentally characterized p-bits, a shared-synapsep-bit architecture demonstrates highly-parallelized and energy-efficientsolutions to optimization problems such as integer factorization andBoolean-satisfiability. The results introduce perovskite nickelates as scalablepotential candidates for probabilistic computing and showcase the potential oflight-element dopants in next-generation correlated semiconductors.