Abstract: The invention relates to the technical field of medicines, and particularly relates to a multi-component injection and preparation processes and applications thereof. In the present invention, the effective ingredients of safflower Carthamus, Red Paeony Root, Ligusticum wallichii, Radix salvia miltiorrhizae and Angelica sinensis are analyzed and a multi-component injection is prepared via the modem pharmaceutical preparation technology. The study proves that the multi-component injection of the invention has therapeutic effects on Sepsis.

Abstract: The present application is directed to a mounting system for a base station antenna. The system includes a passive antenna and an active antenna module and a mounting kit. The mounting kit includes an upper radio mounting bracket assembly and a lower radio mounting bracket assembly, and is configured to mount and secure an upper portion of the passive antenna to a mounting structure and mount and secure the active antenna module to the mounting structure behind the passive antenna. The system further includes a middle antenna mounting bracket assembly configured to pivotably mount a middle portion of the passive antenna to the mounting structure and a lower antenna mounting bracket assembly configured to slidably and/or pivotably mount a lower portion of the passive antenna to the mounting structure. The mounting system is configured to adjust the base station antenna downwardly or upwardly to a desired angle of tilt. Mounting kits and methods of operating same are also described herein.

Abstract: An early warning and event monitoring computer device for predicting events is provided. The computer device programmed to a) store a plurality of models associated with a plurality of future events, b) receive a plurality of data from a plurality of data sources, c) preprocess the plurality of data to remove noise and populate the plurality of models with the plurality of data, d determine a subset of models of the plurality of models to execute based on a user query, e) execute the subset of models to receive a plurality of results, f) ensemble the plurality of results from the subset of models to determine a combination model, and g) execute the combination model to forecast at least one future event based on the user query. The computer device uses predictive analytical results to visualize which actors, events, sentiments, and key variables across the topologies are critical to support.

Abstract: An early warning and event monitoring computer device for predicting events is provided. The computer device programmed to a) store a plurality of models associated with a plurality of future events, b) receive a plurality of data from a plurality of data sources, c) preprocess the plurality of data to remove noise and populate the plurality of models with the plurality of data, d determine a subset of models of the plurality of models to execute based on a user query, e) execute the subset of models to receive a plurality of results, f) ensemble the plurality of results from the subset of models to determine a combination model, and g) execute the combination model to forecast at least one future event based on the user query. The computer device uses predictive analytical results to visualize which actors, events, sentiments, and key variables across the topologies are critical to support.