Abstract: A method and system for a healthcare facility includes predicting, by machine learning models for healthcare provider availability prediction, material resource prediction, machinery condition and availability probability prediction, and patient health data prediction, values of each variable for a future time. Different simulation models are used to identify critical resource in a planning period in advance and select an appropriate dedicated model of the identified critical resource, that are subject to constraints and optimization objectives, determine various feasible solutions of a planning and scheduling algorithm at various levels of a planning hierarchy. Plans are synchronized with a patient plan and schedule which is generated for various levels of planning hierarchy. Push and pull rules are used to move patients between planning periods for generation of feasible plans. An optimal patient plan and schedule of patients is generated, released and implemented in the healthcare computing network.

Abstract: Temperature-regulating fabrics composed of natural fibers that are wearable in all seasons and provide high-performance thermal regulation and excellent wicking and absorbency properties. The temperature-regulating natural fabrics disclosed herein are composed of a blend of cotton, hemp, and linen present in an amount of between 84% and 100% of the total composition. In some embodiments, the temperature-regulating natural fabric displays a high amount of stretch and a low amount of growth.

Abstract: A system for measuring electrophysiological signals from a human brain. The system includes a head set unit which has a adjustable strap attached to atop base and a circular base. A peripheral rack around the circular base allowing for strips containing electroencephalograph (EEG) sensors to be moved. Furthermore, the position of the EEG sensors may be changed on the straps and their height may be changed so that all EEG sensors are in contact with a human head.

Abstract: Azadirachta indica cell suspension culture was used for the biotransformation of dianabol to yield a metabolite 17?-hydroxy-17?-methyl-5?-androstan-3-one, which can also be synthesized, as a potent antiinflammatory agent.