Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: An antenna module includes a first antenna radiator including a feeding terminal, a second antenna radiator, a first ground radiator, a second ground radiator and a capacitive element. The second antenna radiator is disposed on one side of the first antenna radiator, and a first gap is formed between a main portion of the second antenna radiator and the first antenna radiator. The first ground radiator is disposed on another side of the first antenna radiator, and a second gap is formed between the first antenna radiator and the first antenna radiator. The second ground radiator is disposed between the second antenna radiator and the first ground radiator, and a third gap is formed between the second ground radiator and a first branch of the second antenna radiator. The capacitive element is disposed on the third gap and connects the second antenna radiator and the second ground radiator.

Abstract: An immunogenic composition, a SARS-CoV-2 vaccine and a vector are introduced. The immunogenic composition has a recombinant protein having a sequence selected from the group consisting of SEQ ID NO: 1, SEQ ID NO: 2, SEQ ID NO: 3, SEQ ID NO: 4, and any polypeptide encoded by a polynucleotide which is at least 80% homologous with SEQ ID NO: 1-4, wherein the recombinant protein contains an IgG1 Fc protein fragment having a length of at least 6 amino acids; or a nucleic acid molecule encoding the recombinant protein. The SARS-CoV-2 vaccine has the above recombinant protein or the nucleic acid molecule encoding the above recombinant protein. The vector has the nucleic acid molecule encoding the above recombinant protein.

Abstract: A deployment system for IoT including an edge server, multiple gateways, and multiple agent modules is disclosed. Each gateway is respectively connected with different peripheral devices to support different function. The edge server includes a flow editor used to edit a flow for a target gateway. The edge server performs a deploying procedure to the target gateway in accordance with the flow, wherein the deploying procedure is to first read a script and a parameter of one or more function nodes included in the flow, then encapsulate the script and the parameter into a packet, and then transmit the packet to the target gateway through one of the agent modules. The target gateway receives the packet through one of the agent modules and sequentially executes the function nodes according to the content of the flow, so as to implement a corresponding IoT function.

Abstract: A deployment system for IoT including an edge server, multiple gateways, and multiple agent modules is disclosed. Each gateway is respectively connected with different peripheral devices to support different function. The edge server includes a flow editor used to edit a flow for a target gateway. The edge server performs a deploying procedure to the target gateway in accordance with the flow, wherein the deploying procedure is to first read a script and a parameter of one or more function nodes included in the flow, then encapsulate the script and the parameter into a packet, and then transmit the packet to the target gateway through one of the agent modules. The target gateway receives the packet through one of the agent modules and sequentially executes the function nodes according to the content of the flow, so as to implement a corresponding IoT function.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A method for a CPU to execute artificial intelligence related processes is disclosed. The method includes: when executing TensorFlow on an electronic device, calling a corresponding AI model of TensorFlow according to content of program codes; determining and obtaining one or multiple sparse matrixes used by the AI model in performing calculations; executing a matrix simplifying procedure to the one or multiple sparse matrixes; executing an instruction transforming procedure to an instruction set applied for the AI model; issuing an instruction to a weighted CPU of the electronic device by the AI model according to transformed instruction set; and the weighted CPU, after receiving the instruction, averagely distributing multiple procedures indicated by the AI model to each of multiple threads of the weighted CPU to be respectively executed according to a weighting value of each of the multiple procedures.

Abstract: An aluminum assembly includes at least an aluminum member. Each aluminum member has a first coupling element and a second coupling element extended from two edges of the aluminum member. The first coupling element has a first groove section and a first protrusion. The first groove section has a first fastener and a second fastener. The second coupling element has a second groove section and a second protrusion. The second groove section has a third fastener and a fourth fastener. As such, the first coupling element of a first aluminum member may be detachably coupled to the second coupling element of a second aluminum member, and the second coupling element of the first aluminum member may be coupled to the first coupling element of a third aluminum member. An aluminum assembly of various forms may be constructed in this way.

Abstract: An assembly structure of a transformer and a circuit board includes: a circuit board, a packaging chip, a transformer, a first conductive plate, a second conductive plate and a first heat sink. The packaging chip is disposed on the circuit board. The transformer has at least one first output electrode and at least one second output electrode connected to the first output electrode. The first conductive plate is disposed on the transformer and connected to the at least one first output electrode. The second conductive plate is disposed on the transformer and connected to the at least one second output electrode and the circuit board. The first heat sink is connected to the packaging chip and the first conductive plate, is disposed on the circuit board, and is connected to the circuit board and the first conductive plate.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A state assessment system, a diagnosis and treatment system and a method for operating the diagnosis and treatment system are disclosed. An oscillator model converts a physiological signal of a subject into a defined feature image. A classification model analyzes state information of the subject based on the feature image. An analysis model outputs a treatment suggestion for the subject based on the state information of the subject. An AR projection device projects acupoint positions of a human body onto the subject, for the subject to be treated based on the treatment suggestion.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A computer-assisted needle insertion system and a computer-assisted needle insertion method are provided. The computer-assisted needle insertion method includes: obtaining a first machine learning (ML) model and a second ML model; obtaining a computed tomography (CT) image and a needle insertion path, generating a suggested needle insertion path according to the first ML model, the CT image, and the needle insertion path, and instructing a needle to approach a needle insertion point on a skin of a target, wherein the needle insertion point is located on the suggested needle insertion path; obtaining a breath signal of the target, and estimating whether a future breath state of the target is normal according to the second ML model and the breath signal; and outputting a suggested needle insertion period according to the breath signal in response to determining that the future breath state is normal.

Abstract: An assembly structure of a transformer and a circuit board includes: a circuit board, a packaging chip, a transformer, a first conductive plate, a second conductive plate and a first heat sink. The packaging chip is disposed on the circuit board. The transformer has at least one first output electrode and at least one second output electrode connected to the first output electrode. The first conductive plate is disposed on the transformer and connected to the at least one first output electrode. The second conductive plate is disposed on the transformer and connected to the at least one second output electrode and the circuit board. The first heat sink is connected to the packaging chip and the first conductive plate, is disposed on the circuit board, and is connected to the circuit board and the first conductive plate.

Abstract: A method for a CPU to execute artificial intelligence related processes is disclosed. The method includes: when executing TensorFlow on an electronic device, calling a corresponding AI model of TensorFlow according to content of program codes; determining and obtaining one or multiple sparse matrixes used by the AI model in performing calculations; executing a matrix simplifying procedure to the one or multiple sparse matrixes; executing an instruction transforming procedure to an instruction set applied for the AI model; issuing an instruction to a weighted CPU of the electronic device by the AI model according to transformed instruction set; and the weighted CPU, after receiving the instruction, averagely distributing multiple procedures indicated by the AI model to each of multiple threads of the weighted CPU to be respectively executed according to a weighting value of each of the multiple procedures.

Abstract: The present disclosure is directed to systems and methods of providing systems and methods of autonomously generating summary documents based, at least in part, on a plurality of queries provided by a system user. The systems and methods disclosed herein include processor circuitry to identify a plurality of information sources for a specific topic guided by an ontology with specific concepts and relations. The systems and methods disclosed herein also include processor circuitry to generate user-focused extractive text summarization from each of at least some of the plurality of identified information sources using a plurality of queries supplied by the user/researcher.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: A functional electrical stimulation (FES) device includes electrodes arranged to apply functional electrical stimulation to a body part of the user. FES stimulation is performed by: receiving values of a set of user metrics for the user; receiving a target position of the body part represented as values for a set of body part position measurements; determining a user-specific energization pattern for producing the target position based on the received target position and the received values of the set of user metrics for the user; and energizing the electrodes of the FES device in accordance with the determined user-specific energization pattern. The determination may utilize an FES calibration database with records having fields containing: values of the set of user metrics for reference users; energization patterns; and values of the set of body part position metrics for positions assumed by the body part in response to applying the energization patterns.

Abstract: An immunogenic composition, a SARS-CoV-2 vaccine and a vector are introduced. The immunogenic composition has a recombinant protein having a sequence selected from the group consisting of SEQ ID NO: 1, SEQ ID NO: 2, SEQ ID NO: 3, SEQ ID NO: 4, and any polypeptide encoded by a polynucleotide which is at least 80% homologous with SEQ ID NO: 1-4, wherein the recombinant protein contains an IgG1 Fc protein fragment having a length of at least 6 amino acids; or a nucleic acid molecule encoding the recombinant protein. The SARS-CoV-2 vaccine has the above recombinant protein or the nucleic acid molecule encoding the above recombinant protein. The vector has the nucleic acid molecule encoding the above recombinant protein.