Decision makers are often confronted with inadequate information to predict nutrient loads and yields in freshwater ecosystems at large spatial scales. We evaluate the potential of using data mapped at large spatial scales (regional to global) and often coarse resolution to predict nitrogen yields at varying smaller scales (e.g.
View Article and Find Full Text PDFA nonlinear-dynamical algorithm for city planning is proposed as an impulse pattern formulation (IPF) for predicting relevant parameters such as health, artistic freedom, or financial developments of different social or political stakeholders over the cause of a planning process. The IPF has already shown high predictive precision at low computational cost in musical instrument simulations, brain dynamics, and human-human interactions. The social and political IPF consists of three basic equations of system state developments, self-adaptation of stakeholders, two adaptive interactions, and external impact terms suitable for respective planning situations.
View Article and Find Full Text PDFObjectives: This study simulated the potential multiyear health and economic benefits of participation in 4 cardiometabolic virtual-first care (V1C) programs: prevention, hypertension, diabetes, and diabetes plus hypertension.
Study Design: Using nationally available data and existing clinical and demographic information from members participating in cardiometabolic V1C programs, a microsimulation approach was used to estimate potential reduction in onset of disease sequelae and associated gross savings (ie, excluding the cost of V1C programs) in health care costs.
Methods: Members of each program were propensity matched to similar records in the combined 2012-2020 National Health and Nutrition Examination Survey files based on age, sex, race/ethnicity, body mass index, and diagnosis status of diabetes and/or hypertension.