Abstract: A method for controlling noise for a human subject comprise receiving an acoustic signal by the human subject through a headphone, the acoustic signal comprising a noise signal, generating a cancellation signal based on a hearing target curve that is related to acoustic magnitude and frequency, and applying the cancellation signal to the acoustic signal such that the noise signal is attenuated.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and utilizing generative machine learning models to generate embeddings from phenomic images (or other microscopy representations). For example, the disclosed systems can train a generative machine learning model (e.g., a masked autoencoder generative model) to generate predicted (or reconstructed) phenomic images from masked version of ground truth training phenomic images. In some cases, the disclosed systems utilize a momentum-tracking optimizer while reducing a loss of the generative machine learning model to enable efficient training on large scale training image batches. Furthermore, the disclosed systems can utilize Fourier transformation losses with multi-stage weighting to improve the accuracy of the generative machine learning model on the phenomic images during training.

Abstract: An electronic device includes a pixel array having a plurality of rows with active imaging pixels, and at least one row with test pixels. Each of the test pixels includes a test voltage generation circuit generating a test voltage, a switching circuit receiving the test voltage and an image pixel output signal and passing the test voltage as output when in a test mode, a comparison circuit receiving the output from the switching circuit and an analog to digital conversion signal and asserting a counter reset signal when the output from the switching circuit and the analog to digital conversion signal are equal in voltage, and a counter beginning counting at a beginning of each test cycle within the test mode, stopping counting upon assertion of the counter reset signal, and outputting its count upon stopping counting. The count is proportional to the test voltage when in the test mode.

Abstract: The invention provides an anti-myostatin antibody for use in the treatment, prevention, delaying progression and/or amelioration of Facioscapulohumeral muscular dystrophy (FSHD).

Abstract: A microstrip phase inverter includes a bottom layer, a first dielectric layer, an insert conductor (IC) layer, a second dielectric layer, a top layer, at least one first via, and a pair of second vias. The first dielectric layer is disposed over the bottom layer. The IC layer is disposed over the first dielectric layer. The second dielectric layer is disposed over the IC layer. The top layer is disposed over the second dielectric layer and includes a first strip line and a second strip line which extend along a first direction and across at least one edge of the IC layer and are narrower than the IC layer along a second direction different than the first direction. The first via electrically connects the bottom layer to the IC layer. The second vias electrically connect the IC layer to the first strip line and the second strip line, respectively.

Abstract: A wearable visualization device includes a housing, one or more lenses coupled to the housing and configured to display virtual features for visualization by a user of the wearable visualization device, and a cover coupled to the housing and configured to adjust between an extended configuration in which the cover extends over at least a portion of the one or more lenses and a retracted configuration in which the cover does not extend over at least the portion of the one or more lenses. The wearable visualization device also includes a controller and one or more sensors. The controller is configured to receive sensor data from the one or more sensors and to provide control signals to an actuator to adjust the cover between the extended configuration and the retracted configuration based on the sensor data.

Abstract: An encapsulation is provided on a flexible printed circuit board, comprising a top and a bottom electrically insulating base film, a top electrically conductive metal layer over the top electrically insulating base film, and a bottom electrically conductive metal layer under the bottom electrically insulating base film. A printable lithium ion battery is fabricated in a cavity completely through the top and bottom base films wherein a top of the battery contacts the top electrically conductive metal layer and wherein a bottom of the battery contacts the bottom electrically conductive metal layer. An adhesive film is fabricated around the battery to seals it to the top and bottom electrically insulating base film and to seals the top electrically conductive metal layer to the bottom electrically conductive metal layer.

Abstract: A thermostatic radiator valve supports a display that is configurable to display TRV information for a desired viewing direction to facilitate reading by a user, where the TRV comprises a configurable electronic display, a configuration circuit, and a processing device. The configuration circuit is capable of detecting when the TRV has been installed, determining a desired display orientation from a plurality of orientations with respect to a designated surface via a sensor in response to the detecting, and generating a display indicator indicative of the desired display orientation. The processing device is capable of receiving the display indicator and configuring the configurable electronic display to display the TRV information in the desired display orientation.

Abstract: A method and a system for providing one or more services to one or more user devices [202] in an IoT network in a scalable M2M (Machine to Machine) framework. The method comprises receiving a connection request from the one or more user devices [202] at a load balance of the IoT network, the connection request comprises at least a username comprising a cluster identifier. The load balancer [204] determines a cluster identifier based on the connection request and identifies at least one target cluster from the one or more clusters [206], said target cluster being associated with the identifier cluster identifier. The load balancer [204] routes the connection request to the at least one target cluster to provide the one or more services to the one or more user devices [202].

Abstract: A sub-1-mm2 die area is presented. This small die with the compact source network (CSN) and compact load network (CLN) can be fully packaged in a small form factor. Previous solutions have integrated all components into the die with complicated matching and bias networks, resulting in a large and expensive die area. Innovative component merging and compact bond-wire matching in the CSN and CLN have substantially reduced the die size for future massive multiple-input-multiple-output (MIMO) small cells. This proposed DPA was designed and fabricated using a commercial 150-nm GaN/silicon carbide (SiC) high electron mobility transistor (HEMT) process to validate architecture and design methodologies.

Abstract: An EV charger includes a modular housing system that includes a first housing and a second housing. The first housing is adapted to enclose electrical circuitry that connects power source inputs from a power source input cable to EV charging outputs of an EV charging output cable. The first housing includes a first port and a second port. The first housing receives the input cable through the first port and sends the output cable through the second port. The second housing includes multiple ports. The second housing receives the output cable through one of its ports. The second housing further includes an EV charging socket or a tethered EV charger connector for charging an EV. In one embodiment, the second housing can be separated from the first housing using a conduit. In another embodiment, the second housing can be directly connected to the first housing.

Abstract: The seal is an elastic seal 100 that forms a sealing perimeter around the nose and mouth of a wearer. The elastic seal 100 comprises a first end 104 defining a first opening, a second end 108 defining a second opening in communication with the first opening, and a sidewall 112 extending between the first end 104 and the second end 108. The mask body 200 comprises a porous material. The mask body 200 is supported on the elastic seal 100 such that it covers the second opening of the elastic seal 100. The elastic seal 100 may comprise regions 114 distributed around a perimeter of the sidewall 112 and having a greater rigidity than a remainder of the elastic seal 100. The mask body may comprise a top panel 202 with one or more pleats 222.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and utilizing generative machine learning models to generate embeddings from phenomic images (or other microscopy representations). For example, the disclosed systems can train a generative machine learning model (e.g., a masked autoencoder generative model) to generate predicted (or reconstructed) phenomic images from masked version of ground truth training phenomic images. In some cases, the disclosed systems utilize a momentum-tracking optimizer while reducing a loss of the generative machine learning model to enable efficient training on large scale training image batches. Furthermore, the disclosed systems can utilize Fourier transformation losses with multi-stage weighting to improve the accuracy of the generative machine learning model on the phenomic images during training.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and utilizing generative machine learning models to generate embeddings from phenomic images (or other microscopy representations). For example, the disclosed systems can train a generative machine learning model (e.g., a masked autoencoder generative model) to generate predicted (or reconstructed) phenomic images from masked version of ground truth training phenomic images. In some cases, the disclosed systems utilize a momentum-tracking optimizer while reducing a loss of the generative machine learning model to enable efficient training on large scale training image batches. Furthermore, the disclosed systems can utilize Fourier transformation losses with multi-stage weighting to improve the accuracy of the generative machine learning model on the phenomic images during training.

Abstract: An electrical circuit component for an RF/EM circuit, a method for use in RF/EM circuit design and an electrical circuit design platform. The electrical circuit component comprises a double-sided parallel-strip line (DSPSL) having a balanced line arranged to reject external noise from connected circuit components when fed to other electrical circuits during operation of the RF/EM circuit; wherein the DSPSL includes a pair of parallel-strip lines of conducting plate disposed back-to-back on opposite sides of a substrate, and the DSPSL is provided as a computer-implemented circuit component for use on an electrical circuit design platform.

Abstract: An EV charger connector holder includes a housing with a base and cover and at least one removable socket plug. The housing includes a first opening and a second opening. The base includes a base plate, a first base plug-holding structure, and a second base plug-holding structure. The cover includes a first cover plug-holding structure and a second cover plug-holding structure. When the base and the cover are attached, the first base plug-holding structure and the first cover plug-holding structure form a first housing port at the first opening and the second base plug-holding structure and the second cover plug-holding structure form a second housing port at the second opening. The removable socket plug includes an outside structure adapted for fixation to the first housing port or the second housing port and an inside structure adapted for receiving and locking to a first type of electrical connector.

Abstract: In embodiments herein, a resettable auto injection training device is provided, wherein actuation of the device requires both safety shield actuation and actuation member actuation. The training device includes audible feedback signaling actuation and completion of injection simulation. The training device audible feedback may be provided by movement of mechanical components relative to one another in embodiments herein. Further embodiments include safety features provided by compression of the safety shield post training to lock a plunger and injection simulation device within the training device until reset.

Abstract: A wearable visualization device includes a housing, one or more lenses coupled to the housing and configured to display virtual features for visualization by a user of the wearable visualization device, and a cover coupled to the housing and configured to adjust between an extended configuration in which the cover extends over at least a portion of the one or more lenses and a retracted configuration in which the cover does not extend over at least the portion of the one or more lenses. The wearable visualization device also includes a controller and one or more sensors. The controller is configured to receive sensor data from the one or more sensors and to provide control signals to an actuator to adjust the cover between the extended configuration and the retracted configuration based on the sensor data.

Abstract: A wearable visualization device includes a housing, one or more lenses coupled to the housing and configured to display virtual features for visualization by a user of the wearable visualization device, and a cover coupled to the housing and configured to adjust between an extended configuration in which the cover extends over at least a portion of the one or more lenses and a retracted configuration in which the cover does not extend over at least the portion of the one or more lenses. The wearable visualization device also includes a controller and one or more sensors. The controller is configured to receive sensor data from the one or more sensors and to provide control signals to an actuator to adjust the cover between the extended configuration and the retracted configuration based on the sensor data.