Publications by authors named "S J Linke"

Article Synopsis
  • The study explores the implementation of a digital health intervention (DHI) designed for supporting self-management among long COVID patients, involving a patient app and a clinician dashboard.
  • Using qualitative analysis and Normalisation Process Theory, researchers found that the DHI was adaptable to various healthcare settings, enhancing collaboration among healthcare professionals while acknowledging the necessity for in-person care.
  • The findings suggest that DHIs can potentially transform traditional healthcare engagement patterns, emphasizing the importance of organizational context and individual experiences in successful implementation.
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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.

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Article Synopsis
  • Heart failure (HF) is a rising global health issue often related to cardiac injury, linked to high mortality rates and insufficient treatment options; ferroptosis, an iron-dependent cell death, may play a significant role in heart disease.
  • This study aimed to create an ex-vivo model using living myocardial slices (LMS) to explore mechanisms and identify potential drug targets related to myocardial injury.
  • Results showed that cryoinjured rat LMS exhibited symptoms like contractile dysfunction and inflammation, with ferroptosis playing a notable role; treatment with ferrostatin (Fer-1) improved cardiac function and reduced damage, indicating a promising therapeutic avenue.
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A 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.

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Objectives: 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.

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