Abstract: A leak detection apparatus and method and a wafer electroplating method are provided. An air tightness state of a reaction chamber in a wafer electroplating device is detected in advance before a wafer electroplating process is performed, namely whether leak occurs at the reaction chamber is judged by inputting a detection gas to the reaction chamber and detecting a gas pressure value of the detection gas, and whether to perform the wafer electroplating process is determined according to a judgment result.

Abstract: System(s) and method(s) for processing one or more real time data streams captured in a distributed computing environment. In accordance with the system(s) and method(s), a GUI may be provided that enables a user to design a GUI pipeline comprising multiple sub-systems executing logic associated with a plurality of applications. Each of the sub-systems in the pipeline may be configured with different parameters by the user using the GUI. Further, the user may configure to integrate the multiple sub-systems through the GUI. Further, the user may control and/or update the configuration of the logic, configuration of the parameters, and the integration of the multiple sub-systems through the GUI. The updating of the configuration is automatically notified to the running pipeline in real time. Further, the GUT facilitates to monitor performance of the running pipeline in real time.

Abstract: A turbofan engine has a fan portion in fluid communication with a core stream and a bypass stream of air separated by splitters disposed both upstream and downstream of the fan portion. A blade splitter (shroud) on the fan partially spans the fan blade thus separating the core and bypass streams downstream while leaving a gap upstream for communication between the flows. The communication gap expands the operational range of the fan over fans without the communication gap.

Abstract: A waste treatment system for separating contaminants including per-fluoroalkyl and poly-fluoroalkyl substances (PFAS) from bulk solid waste (12). A preparation module (9) having a bulk material separator separates oversize material (14) from bulk solid waste (12). A physical separation module (13), located down-stream of the preparation module (9), separates the bulk solid waste (12) based on particle size using physical and/or hydrodynamic and/or density separation techniques. An extraction/chemical separation module (19), located downstream of the physical separation module (13), adds leachate and/or extractant to separate the contaminants from a slurry output from the physical separation module (13), into a fines output and a contaminated water solution.

Abstract: Devices and techniques are generally described for cross-domain machine learning. A first machine learning model may be trained using first data of a first domain. Predictions may be generated by inputting a plurality of domain data from other domains apart from the first domain into the first machine learning model. For each of the predictions, a prediction error may be determined. A grouping of similar domains from among the other domains may be determined based on the prediction errors. A second machine learning model may be trained for the grouping of similar domains.

Abstract: A thermoelectric semiconductor device includes a heat dissipating semiconductor module and a stack of flash memory dies mounted on a substrate. The heat dissipating module comprises a first semiconductor die such as a controller, and a second semiconductor die such as a thermoelectric semiconductor die to cool the first semiconductor die during operation. The thermoelectric semiconductor die may be mounted to the controller die at the wafer level.

Abstract: According to at least one exemplary embodiment, a system, method, and apparatus for predicting physical properties by indirect measurement is disclosed. The system, method, and apparatus provide for measurement of physical properties of petroleum products by calculating predictions of the properties based on diverse inputs. These predictions may be updated in real time and may be used to modify various processes in midstream and downstream petroleum operations. Various use cases for the system, method, and apparatus for predicting physical properties by indirect measurement are disclosed.

Abstract: A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

Abstract: A blockchain based system and method of data backup and recovery, for use with a conventional data store is disclosed. The system includes a blockchain that includes one or more nodes and a storage adaptation layer. The storage adaptation layer is in data communication with the blockchain and the data store, stores data from the data storage into the blockchain. The data store may be a relational database managing system or other type of data store. The system further includes a recovery adaptation layer configured to restore data in the blockchain to the data store.

Abstract: The present pull-type snow blower attachment comprises a housing, a auger and a snow blowing fan arrangement. The housing defines a longitudinally curved surface between two walls. A hitch protrudes away from the surface and is adapted for attachment behind a vehicle. The auger is rotatably secured to the walls of the housing. The auger defines two opposite sections and a middle section therebetween. Each opposite section is equipped with a spiral blade angled towards the middle section, and the middle section is equipped with at least two blades for lifting snow. The snow blowing fan arrangement includes a fan and a chute section above the fan. The fan is between the auger and the hitch. The fan is adapted for receiving snow lifted by the at least two blades of the auger and pushing the snow through the chute section.

Abstract: A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

Abstract: The present application relates to compositions capable of inducing an immune response against Varicella zoster virus, methods of administering such compositions, and methods of producing such compositions.

Abstract: A process for separation of a slurry by radially injecting a stream of a nanogas solution at a shear-focus volume within a pipe; passing an aqueous slurry through the pipe along a direction of flow and through the shear-focus volume; and shearing and/or admixing the slurry with the nanogas solution within the shear-focus volume.

Abstract: A unilaterally driven closed-loop artificial pancreas, includes: a detection module, an infusion module and a program module. The infusion module includes a reservoir, a piston, a screw, a driving unit, a driving wheel provided with wheel teeth, at least one linear actuator and at least one reset unit. The driving unit includes at least one rotating shaft and at least one driving member. The driving member includes a driving end. The driving member rotates around the rotating shaft. The linear actuator and the reset unit respectively connect to the driving member. The program module is connected to the detection module and the infusion module respectively, imported the total daily dose algorithm and the current insulin infusion algorithm. The driving power can be controlled, and it can accurately calculate the TDD value and the current insulin infusion dose.

Abstract: Contaminants can be removed from liquids in accordance with systems and methods herein. One exemplary method can involve introducing an input liquid into a pressurized chamber. The method can also involve oxidizing an organic or inorganic contaminant in the input liquid by heating the input liquid in the pressurized chamber, to create an output liquid that has less of the organic or inorganic contaminant than is present in the input liquid. And the method can involve outputting the output liquid from the pressurized chamber.

Abstract: Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting the movements in mechanical structures, inanimate physical structures, machinery, and machine components, including automatically detecting aliased frequencies of a component on the structure which exhibits frequencies higher than the maximum frequency of the FFT spectrum calculated from the acquired data. To automatically detect the presence of aliased frequencies, a second virtually identical recording is acquired using a slightly different sampling rate and this provides the basis for detecting frequencies which are greater than the Nyquist sampling rate of the video recording and calculating the true frequency value of the aliased peaks in the frequency spectrum.

Abstract: A first request is received for generation of a temporary alternate identifier for a user, wherein the user is identified within a service using a user service identifier, and wherein the temporary alternate identifier assists in binding the user service identifier with a resource identifier that identifies the user within a resource. The temporary alternate identifier is then generated and associated with the user service identifier. The temporary alternate identifier is then provided the user, and the temporary alternate identifier is also provided by the user to the resource. A second request is received, from the resource, for validation of the temporary alternate identifier. The user resource identifier is also received from the resource, for example as part of the second request. The user service identifier is then bound with the user resource identifier. Additionally, an indication is provided, to the resource, that the temporary alternate identifier is valid.

Abstract: During a training phase, a first machine learning system is trained using actual data, such as multimodal images of a hand, to generate synthetic image data. During training, the first system determines latent vector spaces associated with identity, appearance, and so forth. During a generation phase, latent vectors from the latent vector spaces are generated and used as input to the first machine learning system to generate candidate synthetic image data. The candidate image data is assessed to determine suitability for inclusion into a set of synthetic image data that may be used for subsequent use in training a second machine learning system to recognize an identity of a hand presented by a user. For example, the candidate synthetic image data is compared to previously generated synthetic image data to avoid duplicative synthetic identities. The second machine learning system is then trained using the approved candidate synthetic image data.

Abstract: Aspects are provided for retaining components of an assembly to a support, including additively manufactured (AM) parts of a vehicle chassis to an assembly table. A cartridge for securing the component to the assembly table is provided which includes a housing including at least one compartment, an adhesive disposed within the at least one compartment, a fastener removably attached to the assembly table, and a membrane lid enclosing an opening of the housing. The membrane lid is configured to receive a protruding member from the component such that the protruding member becomes adhered to the adhesive upon penetrating the membrane lid. The cartridge thus allows the component to be quickly retained in any selected position while constraining movement of the component along six degrees of freedom, thereby allowing AM and non-AM parts to be securely retained to accommodate strict tolerance and precise fit between the components of the assembly.