Abstract: A variant AAV capsid protein, comprising an amino acid sequence corresponding to the position amino acids 585 to 597 or 598 of AAV8 or the position amino acids 583 to 595 or 596 of AAV9, and the polynucleotide, host cells, vectors, AAV virion or the pharmaceutical composition thereof. A method of treating disease, the method comprising administering to a subject in need thereof an effective amount of the recombinant AAV virion.

Abstract: An AAV library, comprising AAV variants having an amino acid sequence corresponding to the position amino acids 585 to 597 or 598 of AAV8 or the position amino acids 583 to 595 or 596 of AAV9, and the polynucleotide, host cells, thereof. A method of generating and screening an AAV library and its use.

Abstract: A room air purifier including an RFID reader and a wireless communication unit, and methods of using such a room air purifier.

Abstract: A room air purifier including an RFID reader and a wireless communication unit, and methods of using such a room air purifier.

Abstract: A room air purifier comprises housing (9), air filter (100), RFID reader (143), RFID tag (120), and a wireless communication unit (142). A method is how to operating the room air purifier.

Abstract: This invention involves use of temporal or spatio/spector-temporal data (SSTD) for early classification of outputs that are results of spatio-temporal patterns of data. Classification models are based on spiking neural networks (SNN) suitable to learn and classify SSTD. The invention may predict early events in many applications, i.e. engineering, bioinformatics, neuroinformatics, predicting response to treatment of neurological and brain disease, ecology, environment, medicine, and economics, among others. The invention involves a method and system for personalized modelling of SSTD and early prediction of events based on evolving spiking neural network reservoir architecture (eSNNr). The system includes a spike-time encoding module to encode continuous value input information into spike trains, a recurrent 3D SNNr and an eSSN as an output classification module.

Abstract: A system for selecting items to be stored in a warehouse from a list of candidate items. The system includes a computing device having a processor and a storage device storing computer executable code. The executed code is configured to: assign scores to the respective candidate items based on an item selection model; and select items from the candidate items to be stored in the warehouse according to the assigned scores under a capacity limit of the warehouse. The item selection model is configured with an Artificial Neural Network (ANN), having item data for an item as input and a score for that item as output. The score represents a probability that the item is to be stored in the warehouse. The ANN is trained by historical orders with an objective of maximizing a probability that the orders have their respective item(s) all stored in the same warehouse.

Abstract: A system for selecting items to be stored in a warehouse from a list of candidate items. The system includes a computing device having a processor and a storage device storing computer executable code. The executed code is configured to: assign scores to the respective candidate items based on an item selection model; and select items from the candidate items to be stored in the warehouse according to the assigned scores under a capacity limit of the warehouse. The item selection model is configured with an Artificial Neural Network (ANN), having item data for an item as input and a score for that item as output. The score represents a probability that the item is to be stored in the warehouse. The ANN is trained by historical orders with an objective of maximizing a probability that the orders have their respective item(s) all stored in the same warehouse.

Abstract: A room air purifier comprises housing (9), air filter (100), RFID reader (143), RFID tag (120), and a wireless communication unit (142). A method is how to operating the room air purifier.

Abstract: This invention involves use of temporal or spatio/spector-temporal data (SSTD) for early classification of outputs that are results of spatio-temporal patterns of data. Classification models are based on spiking neural networks (SNN) suitable to learn and classify SSTD. The invention may predict early events in many applications, i.e. engineering, bioinformatics, neuroinformatics, predicting response to treatment of neurological and brain disease, ecology, environment, medicine, and economics, among others. The invention involves a method and system for personalized modelling of SSTD and early prediction of events based on evolving spiking neural network reservoir architecture (eSNNr). The system includes a spike-time encoding module to encode continuous value input information into spike trains, a recurrent 3D SNNr and an eSSN as an output classification module.

Abstract: A functional electrical stimulation system having a boost module to raise an output voltage of a primary power to a first preset voltage, an energy storage module, connected to the boost module, configured to store electrical energy of the first preset voltage, a central control unit configured to generate data packets of electrical stimulation parameters, and an electrical stimulation output channel, connected to the energy storage module, configured to receive the data packets of electrical stimulation parameters, analyze the electrical stimulation parameters from the data packets, convert electrical energy stored in the energy storage module to an electrical stimulation pulse corresponding to the electrical stimulation parameters and apply the electrical stimulation pulse to a part of a user.

Abstract: The present invention discloses a functional electrical stimulation system comprising a primary power, a boost module, an energy storage section, an output control relay, an automatic discharge circuit, a foot/hand controlled switch, a current detection chip and a current limiting fuse. The boost module comprises n DC chopper circuits connected in series, and outputs a high voltage of 100-200V. According to an enable signal and a current detection signal, the output control relay disables/enables the DC boost module. The automatic discharge circuit discharges capacitance of the energy storage section automatically when the relay turns off the power input. The Foot/hand controlled switch, the current detection chip and the current limiting fuse form a triple accident protection circuit. The functional electrical stimulation system maximizes the intensity of electrical stimulation within the range that the human body can withstand.

Abstract: A functional electrical stimulation system having a boost module to raise an output voltage of a primary power to a first preset voltage, an energy storage module, connected to the boost module, configured to store electrical energy of the first preset voltage, a central control unit configured to generate data packets of electrical stimulation parameters, and an electrical stimulation output channel, connected to the energy storage module, configured to receive the data packets of electrical stimulation parameters, analyze the electrical stimulation parameters from the data packets, convert electrical energy stored in the energy storage module to an electrical stimulation pulse corresponding to the electrical stimulation parameters and apply the electrical stimulation pulse to a part of a user.

Abstract: The present invention discloses a functional electrical stimulation system comprising a primary power, a boost module, an energy storage section, an output control relay, an automatic discharge circuit, a foot/hand controlled switch, a current detection chip and a current limiting fuse. The boost module comprises n DC chopper circuits connected in series, and outputs a high voltage of 100-200V. According to an enable signal and a current detection signal, the output control relay disables/enables the DC boost module. The automatic discharge circuit discharges capacitance of the energy storage section automatically when the relay turns off the power input. The Foot/hand controlled switch, the current detection chip and the current limiting fuse form a triple accident protection circuit. The functional electrical stimulation system maximizes the intensity of electrical stimulation within the range that the human body can withstand.