Abstract: A method is used to design nuclear reactors using design variables and metric variables. A user specifies ranges for the design variables and target values for the metric variables. A set of design parameter samples are selected. For each sample, the method runs three processes, which compute metric variables to thermal-hydraulics, neutronics, and stress. The method applies a cost function to each sample to compute an aggregate residual of the metric variables compared to the target values. The method trains a machine learning model using the samples and the computed aggregate residuals. The method shrinks the range for each design variable according to correlation between the respective design variable and estimated residuals using the machine learning model. These steps are repeated until a sample having a smallest residual is unchanged for multiple iterations. The method then uses the final machine learning model to assess relative importance of each design variable.

Abstract: An improved system and method of determining a low water and/or water-out condition in a humidifier chamber of a respiratory or surgical humidifier system can use a specific frequency band to detect changes in a temperature of a heater plate. The temperature changes can correlate to the specific heat capacity value of the humidifier chamber. The low water and/or water-out detection process can be performed without having to determine the gases flow rate and/or can be run continuously. A heater plate assembly of the system can include a compliant insulation sheet to improve thermal coupling between the heating element and the top heating plate of the heater plate assembly, thereby improving the low water and/or water-out detection process.

Abstract: A composition configured for oral use is provided, the composition including a filler in an amount of at least 20% by weight, based on the total weight of the composition, and at least one active ingredient including one or more botanical materials, stimulants, amino acids, vitamins, antioxidants, cannabinoids, pharmaceutical agents, or a combination thereof. The composition further includes a salt and at least one sweetener. The composition has a moisture content of at least about 40% by weight, based on the total weight of the composition.

Abstract: A method designs nuclear reactors using design variables and metric variables. A user specifies ranges for the design variables and threshold values for the metric variables and selects design parameter samples. For each sample, the method runs three processes, which compute metric variables for thermal-hydraulics, neutronics, and stress. The method applies a cost function to compute an aggregate residual of the metric variables compared to the threshold values. The method deploys optimization methods, either training a machine learning model using the samples and computed aggregate residuals, or using genetic algorithms, simulated annealing, or differential evolution. When using Bayesian optimization, the method shrinks the range for each design variable according to correlation between the respective design variable and estimated residuals using the machine learning model. These steps are repeated until a sample having a smallest residual is unchanged for multiple iterations.

Abstract: A method designs nuclear reactors using design variables and metric variables. A user specifies ranges for the design variables and threshold values for the metric variables and selects design parameter samples. For each sample, the method runs three processes, which compute metric variables for thermal-hydraulics, neutronics, and stress. The method applies a cost function to compute an aggregate residual of the metric variables compared to the threshold values. The method deploys optimization methods, either training a machine learning model using the samples and computed aggregate residuals, or using genetic algorithms, simulated annealing, or differential evolution. When using Bayesian optimization, the method shrinks the range for each design variable according to correlation between the respective design variable and estimated residuals using the machine learning model. These steps are repeated until a sample having a smallest residual is unchanged for multiple iterations.

Abstract: A thermal oxidizer (50) employing an oxidation mixer (51), an oxidation chamber (52), a retention chamber (53) and a heat dissipater (54) forming a fluid flow path for thermal oxidation of a waste gas. In operation, the oxidation mixer (51) facilitates a combustible mixture of the waste gas and an oxidant into an combustible waste gas stream. A heating element (55) of the oxidation chamber (52) facilitates a primary combustion reaction of the combustible waste gas stream into an oxygenated waste gas stream. The retention chamber (53) facilitates a secondary combustion reaction of the oxygenated waste gas stream into oxidized gases. The heat dissipater (54) atmospherically vents of the oxidized gases. An oxidization controller (61) may be employed to regulate the operation of the thermal oxidizer (50), and a data logger (63) and a data reporter (65) may be employed for respectively logging and remotely reporting a regulation of the thermal oxidizer (50) by the oxidation controller (61).

Abstract: A method is used to design nuclear reactors using design variables and metric variables. A user specifies ranges for the design variables and target values for the metric variables. A set of design parameter samples are selected. For each sample, the method runs three processes, which compute metric variables to thermal-hydraulics, neutronics, and stress. The method applies a cost function to each sample to compute an aggregate residual of the metric variables compared to the target values. The method trains a machine learning model using the samples and the computed aggregate residuals. The method shrinks the range for each design variable according to correlation between the respective design variable and estimated residuals using the machine learning model. These steps are repeated until a sample having a smallest residual is unchanged for multiple iterations. The method then uses the final machine learning model to assess relative importance of each design variable.

Abstract: A method designs nuclear reactors using design variables and metric variables. A user specifies ranges for the design variables and threshold values for the metric variables and selects design parameter samples. For each sample, the method runs three processes, which compute metric variables for thermal-hydraulics, neutronics, and stress. The method applies a cost function to compute an aggregate residual of the metric variables compared to the threshold values. The method deploys optimization methods, either training a machine learning model using the samples and computed aggregate residuals, or using genetic algorithms, simulated annealing, or differential evolution. When using Bayesian optimization, the method shrinks the range for each design variable according to correlation between the respective design variable and estimated residuals using the machine learning model. These steps are repeated until a sample having a smallest residual is unchanged for multiple iterations.

Abstract: A thermal oxidizer (50) employing an oxidation mixer (51), an oxidation chamber (52), a retention chamber (53) and a heat dissipater (54) forming a fluid flow path for thermal oxidation of a waste gas. In operation, the oxidation mixer (51) facilitates a combustible mixture of the waste gas and an oxidant into an combustible waste gas stream. A heating element (55) of the oxidation chamber (52) facilitates a primary combustion reaction of the combustible waste gas stream into an oxygenated waste gas stream. The retention chamber (53) facilitates a secondary combustion reaction of the oxygenated waste gas stream into oxidized gases. The heat dissipater (54) atmospherically vents of the oxidized gases. An oxidization controller (61) may be employed to regulate the operation of the thermal oxidizer (50), and a data logger (63) and a data reporter (65) may be employed for respectively logging and remotely reporting a regulation of the thermal oxidizer (50) by the oxidation controller (61).

Abstract: A server apparatus comprises a plurality of server on a chip (SoC) nodes interconnected to each other through a node interconnect fabric. Each one of the SoC nodes has respective memory resources integral therewith. Each one of the SoC nodes has information computing resources accessible by one or more data processing systems. Each one of the SoC nodes configured with memory access functionality enabling allocation of at least a portion of said memory resources thereof to one or more other ones of the SoC nodes and enabling allocation of at least a portion of said memory resources of one or more other ones of the SoC nodes thereto based on a workload thereof.

Abstract: A server apparatus comprises a plurality of server on a chip (SoC) nodes interconnected to each other through a node interconnect fabric. Each one of the SoC nodes has respective memory resources integral therewith. Each one of the SoC nodes has information computing resources accessible by one or more data processing systems. Each one of the SoC nodes configured with memory access functionality enabling allocation of at least a portion of said memory resources thereof to one or more other ones of the SoC nodes and enabling allocation of at least a portion of said memory resources of one or more other ones of the SoC nodes thereto based on a workload thereof.

Abstract: A server apparatus comprises a plurality of server on a chip nodes interconnected to each other through a node interconnect fabric. Each one of the server on a chip nodes has respective memory resources integral therewith. Each one of the server on a chip nodes has information computing resources accessible by one or more data processing systems. Each one of the server on a chip nodes is configured with memory access functionality enabling allocation of at least a portion of said memory resources thereof to one or more other ones of the server on a chip nodes and enabling allocation of at least a portion of said memory resources of one or more other ones of the server on a chip nodes thereto based on a workload thereof.

Abstract: A system and method are provided that support a routing using a tree-like or graph topology that supports multiple links per node, where each link is designated as an Up, Down, or Lateral link, or both, within the topology. The system may use a segmented MAC architecture which may have a method of re-purposing MAC IP addresses for inside MACs and outside MACs, and leveraging what would normally be the physical signaling for the MAC to feed into the switch.

Abstract: A server apparatus comprises a plurality of server on a chip (SoC) nodes interconnected to each other through a node interconnect fabric. Each one of the SoC nodes has respective memory resources integral therewith. Each one of the SoC nodes has information computing resources accessible by one or more data processing systems. Each one of the SoC nodes configured with memory access functionality enabling allocation of at least a portion of said memory resources thereof to one or more other ones of the SoC nodes and enabling allocation of at least a portion of said memory resources of one or more other ones of the SoC nodes thereto based on a workload thereof.

Abstract: A system and method are provided that support a routing using a tree-like or graph topology that supports multiple links per node, where each link is designated as an Up, Down, or Lateral link, or both, within the topology. The system may use a segmented MAC architecture which may have a method of re-purposing MAC IP addresses for inside MACs and outside MACs, and leveraging what would normally be the physical signaling for the MAC to feed into the switch.

Abstract: The present subject matter relates to receivers for concentrating photovoltaic systems and methods for fabricating such receivers. A receiver for a concentrating photovoltaic system can comprise a substrate, a plurality of electrical contact pads located on a first surface of the substrate, and a plurality of photovoltaic cells each having plurality of electrically conductive traces that are each electrically coupled to one of the electrical contact pads. In some embodiments, all of the conductive traces can be located on the back surface of the photovoltaic cells for conduction of electric current generated by the photovoltaic cells when illuminated. Alternatively, conductive traces can further be located on a front surface of the photovoltaic cells and can be electrically coupled to corresponding contact pads by electrical connectors. Regardless of the specific arrangement, the receivers can be fabricated using industry standard soldering techniques often used in the electronics industry.

Abstract: A structure building system is described that utilizes a mat, a set of connectors and a set of structural members to build a structure. In a preferred embodiment, magnetic coupling/connection may be used to connect the piece of the structure together. The system may also have one or more pieces of material that may be draped over the structure.

Abstract: A structure building system is described that utilizes a mat, a set of connectors and a set of structural members to build a structure. In a preferred embodiment, magnetic coupling/connection may be used to connect the piece of the structure together. The system may also have one or more pieces of material that may be draped over the structure.

Abstract: A method and system for enhanced performance multithread operation in a data processing system which includes a processor, a main memory store and at least two levels of cache memory. At least one instruction within an initial thread is executed. Thereafter, the state of the processor at a selected point within the first thread is stored, execution of the first thread is terminated and a second thread is selected for execution only in response to a level two or higher cache miss, thereby minimizing processor delays due to memory latency. The validity state of each thread is preferably maintained in order to minimize the likelihood of returning to a prior thread for execution before the cache miss has been corrected. A least recently executed thread is preferably selected for execution in the event of a nonvalidity indication in association with all remaining threads, in anticipation of a change to the valid status of that thread prior to all other threads.