Abstract: Provided is a process, including: obtaining test data that quantifies a patient’s cardiovascular status, the test data specifying patient attributes in a plurality of cardiovascular dimensions of the patient; determining a plurality of normalized differences between the test data and target criteria in each of the cardiovascular dimensions; determining predicted-effect vectors of each of a plurality of different classes of pharmaceuticals; determining an aggregate score for each respective class of pharmaceuticals among the different classes of pharmaceuticals based on values of the corresponding predicted-effect vectors; ranking the different classes of pharmaceuticals based on the aggregate scores; and outputting a recommended sequence of pharmaceuticals to administer.

Abstract: Provided is a process, including: obtaining test data that quantifies a patient's cardiovascular status, the test data specifying patient attributes in a plurality of cardiovascular dimensions of the patient; determining a plurality of normalized differences between the test data and target criteria in each of the cardiovascular dimensions; determining predicted-effect vectors of each of a plurality of different classes of pharmaceuticals; determining an aggregate score for each respective class of pharmaceuticals among the different classes of pharmaceuticals based on values of the corresponding predicted-effect vectors; ranking the different classes of pharmaceuticals based on the aggregate scores; and outputting a recommended sequence of pharmaceuticals to administer.

Abstract: Provided is a process that includes: obtaining, with an artificial intelligence (AI) application executed by a computer system, information about a current patient condition related to heart failure; inputting, with the computer system, at least some of the obtained information about the patient condition into respective pharmaceutical-specific models to obtain candidate classes of pharmaceuticals and their respective priority scores; inputting, with the computer system, into an expert system of the AI application, the candidate classes of pharmaceuticals and their respective priority scores and, in response, determining an updated prescription.

Abstract: Provided is a process, including: obtaining test data that quantifies a patient's cardiovascular status, the test data specifying patient attributes in a plurality of cardiovascular dimensions of the patient; determining a plurality of normalized differences between the test data and target criteria in each of the cardiovascular dimensions; determining predicted-effect vectors of each of a plurality of different classes of pharmaceuticals; determining an aggregate score for each respective class of pharmaceuticals among the different classes of pharmaceuticals based on values of the corresponding predicted-effect vectors; ranking the different classes of pharmaceuticals based on the aggregate scores; and outputting a recommended sequence of pharmaceuticals to administer.

Abstract: A method of making evaporative cooler pads having a mat of absorbent material substantially uniformly distributed throughout the mat to provide the desired thickness and density to efficiently cool by evaporation warm air that is passed through the mat attached to an evaporative cooler system. The absorbent material can comprise excelsior in the form of aspen wood fibers. This material is cut into mats of the desired size and separated from other mats to create gaps between the mats. A mesh netting encloses the mat and the gap between mats. A stitching machine adds stitching to the mat and to the netting in the gaps between mats to bind the netting to the mat and to interconnect the netting layers in the gap. Adhesive material is applied to the netting and stitching in the gaps to retain the mat inside the netting. A cutting assembly cuts in the gap between the mats to form individual cooler pads.

Abstract: In a method for determining the dry matter content and nutritional value of moist vegetable material, such as silage, liquor is expressed from a sample of known quantity by applying thereto a reproducible pressure regime, the quantity of expressed liquor is measured, and the expressed liquor is analyzed for parameters, such as pH, ammonia, lactic acid, free sugar and alpha-amino nitrogen, from which the nutritional value can be estimated by regression. The nutritional value of silage can be expressed in terms of its fermentability in the rumen. The invention includes a portable facility for use in `on farm` analysis of silage to determine its nutritional value.