Abstract: A seed germination activator for control of broomrape includes butylisobutylphthalate (hereinafter “BIP”). A biocontrol composition includes BIP and at least two nonionic surfactants for administration in irrigation water. Methods of controlling broomrape may include administering the biocontrol composition comprising BIP in the irrigation water prior to planting crops.

Abstract: A seed germination activator for control of broomrape includes butylisobutylphthalate (hereinafter “BIP”). A biocontrol composition includes BIP and at least two nonionic surfactants for administration in irrigation water. Methods of controlling broomrape may include administering the biocontrol composition comprising BIP in the irrigation water prior to planting crops.

Abstract: Disclosed are example embodiments of a system for power system simulation, the system comprising: a processor; and a memory. The memory is coupled to the processor. The memory including instructions that, when executed by the processor cause the system to: generate dynamic graphical simulation of a power system, receive an input from the user of the power system simulation, generate a realistic response to the input from the user, and provide the response to the user.

Abstract: Some embodiments relate to systems and methods for analyzing an electrical network. For example, a system for analyzing an electrical network may include a memory and a processor, coupled to the memory. The processor is configured to execute instructions from the memory causing the processor to: perform power system studies to improve system reliability and security using historical data of past power system operations, derive a data model of the power system using artificial intelligence, and using the data model and training with the power system analysis data to conduct analyses for predicting at least one of system behavior and forecasting applications, and report the at least one of system behavior and forecasting applications.

Abstract: Provided are embodiments of systems, devices and methods for improved optimization of FHC using a swarm optimization based intelligent scenario selection from local search (small step) and global search (large step) experiences for faster and better FHC.

Abstract: A scalar element computing device for computing a selected activation function selected from two or more different activation functions is disclosed. The scalar element computing device comprises N processing elements, N command memories and an operator pool. The N processing elements are arranged into a pipeline to cause the outputs of each non-last-stage processing element coupled to the inputs of one next-stage processing element. The N command memories are coupled to the N processing elements individually. The operator pool is coupled to the N processing elements, where the operator pool comprises a set of operators for implementing any activation function in an activation function group. The N processing elements are configured according to command information stored in the N command memories to calculate a target activation function selected from the activation function group by using one or more operators in the set of operations.