Epihiper-A high performance computational modeling framework to support epidemic science.

This paper describes Epihiper, a state-of-the-art, high performance computational modeling framework for epidemic science. The Epihiper modeling framework supports custom disease models, and can simulate epidemics over dynamic, large-scale networks while supporting modulation of the epidemic evolution through a set of user-programmable interventions. The nodes and edges of the social-contact network have customizable sets of static and dynamic attributes which allow the user to specify intervention target sets at a very fine-grained level; these also permit the network to be updated in response to nonpharmaceutical interventions, such as school closures.

Dissipative particle dynamics parametrisation using infinite dilution activity coefficients: the impact of bonding.

Dissipative particle dynamics (DPD) simulations have proven to be a valuable coarse-grained simulation technique for studying complex systems such as surfactant and polymer solutions. However, the best method to use in parametrising DPD systems is not universally agreed. One common approach is to map infinite dilution activity coefficients to the DPD simulation 'beads' that represent molecular fragments.

Size threshold as a risk for malignant transformation in typical ovarian dermoid lesions: a scoping review.

Purpose: The O-RADS malignancy risk stratification of typical ovarian dermoid cysts by using a 10 cm threshold is based on expert consensus rather than analysis of objective clinical data. This comprehensive scoping review consolidated all currently available studies evaluating typical benign ovarian dermoid cyst size and risk for malignant transformation.

Methods: A systematic review of MEDLINE, Embase, Scopus and the Cochrane library was performed from inception to January 14, 2024, using PRISMA-ScR guidelines.

Impact of pharmacist-led discharge medication reconciliation on error and patient harm prevention at a large academic medical center.

Introduction: Medication errors during hospital discharge can lead to adverse outcomes, medication-related readmissions, and increased health care costs. Pharmacist-led medication reconciliation at discharge is a potential solution to mitigate poor outcomes and optimize medication safety.

Objectives: This study aimed to quantify medication errors identified at discharge and characterize the severity of patient harm prevented following pharmacist-led discharge medication reconciliation.