Abstract: A post-partum hemorrhage monitoring system has a fluid collection funnel having a opening configured to receive post-partum hemorrhaging, an open distal end, a base, an interior configured to receive postpartum hemorrhage, a lip extending exteriorly from the open proximal end, an anterior surface configured to be placed adjacent an anterior vaginal wall of a patient, a posterior surface configured to be placed adjacent a posterior vaginal wall of a patient and a stem having a lumen extending from an open distal end of the funnel. The anterior surface tapers from the lip to and through the base, the posterior surface has substantially no taper from the lip to and through the base to provide a flattened flow path, and the stem is offset from the geometric center of the fluid collection funnel.

Abstract: Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.