Abstract: Systems and methods for training a model for identifying an imaging modality. The systems and methods can be performed by a computer system having one or more processors and memory. A plurality of image vectors can be generated from first image data using a convolutional neural network. A loss function can be applied to each of the plurality of image vectors to produce an intermediate dataset. The intermediate dataset can be projected in a space having lower dimensional space that the intermediate dataset. A plurality of clusters can be identified from the intermediate dataset in the space using a clustering technique. Each of the plurality of clusters can be classified into one of a plurality of imaging modalities.

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

Abstract: A deployable membrane structure for an antenna comprises a membrane comprising a plurality of first regions of higher-stiffness material integrally connected via one or more second regions of lower-stiffness material, wherein the one or more second regions are formed from compliant material configured to permit the membrane to be folded into a collapsed configuration and subsequently unfolded into a deployed configuration, and are arranged so as to allow adjacent ones of the plurality of first regions to be folded so as to lie against one another. In some embodiments the membrane is formed of a composite material comprising a plurality of fibres in a compliant matrix, and the plurality of first regions comprise material with a higher fibre density than the one or more second regions. A deployable antenna comprising the deployable membrane structure is also disclosed.

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

Abstract: A deployable membrane structure for an antenna comprises a membrane comprising a plurality of first regions of higher-stiffness material integrally connected via one or more second regions of lower-stiffness material, wherein the one or more second regions are formed from compliant material configured to permit the membrane to be folded into a collapsed configuration and subsequently unfolded into a deployed configuration, and are arranged so as to allow adjacent ones of the plurality of first regions to be folded so as to lie against one another. In some embodiments the membrane is formed of a composite material comprising a plurality of fibres in a compliant matrix, and the plurality of first regions comprise material with a higher fibre density than the one or more second regions. A deployable antenna comprising the deployable membrane structure is also disclosed.

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

Abstract: Systems and methods for training a model for identifying an imaging modality. The systems and methods can be performed by a computer system having one or more processors and memory. A plurality of image vectors can be generated from first image data using a convolutional neural network. A loss function can be applied to each of the plurality of image vectors to produce an intermediate dataset. The intermediate dataset can be projected in a space having lower dimensional space that the intermediate dataset. A plurality of clusters can be identified from the intermediate dataset in the space using a clustering technique. Each of the plurality of clusters can be classified into one of a plurality of imaging modalities.

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

Abstract: A shroud for an aircraft configured to at least partially surround a noise source including a propeller. The shroud includes an outer layer and two or more sound absorbing materials located inside the shroud. The outer layer is configured to transmit noise from the noise source into the inside of the shroud and/or includes a recess located and sized to partially surround at least a part of a tip of at least one blade.

Abstract: Systems, methods, and computer software are disclosed for securing OpenRAN Interfaces. In ne embodiment a method is disclosed, comprising placing a stateful firewall at a node between a base station and a core network; wherein the stateful firewall mitigates compromised traffic from a radio access network (RAN).

Abstract: The present solution can segment tracts by performing two-pass tractography. The system can first perform deterministic tractography and then probabilistic tractography. The system can use the result from the deterministic tractography to update and refine initial identified regions of interest. The refined regions of interest can be used to filter and select streamlines identified through the probabilistic tractography.

Abstract: An audio mixer system and method is provided. The audio mixer system includes an audio interface, an audio signal processor, and a control circuit. The control circuit is configured to recognize a source type of an audio signal at the audio interface based on analyzing the audio signal. The control circuit is configured to control a setting of a signal path of the audio signal from an input of the audio interface through the audio signal processor to an output of the audio interface based on the recognized source type.

Abstract: Described in detail herein are methods, systems, and computer-readable media associated with generation of a two-dimensional image of the object including an arrangement of elements within the object. In exemplary embodiments, the system may receive input containing data related to an object. The system may extract data regarding elements associated with the object and query data regarding sub-elements associated with the elements. The system may determine an affinity based on the received data associated with the elements and sub-elements and run multiple iterations of regression models to generate a comma separated flat file containing the elements and coordinates for the elements' arrangement. The system may convert the comma separated flat file into a two-dimensional image of the object including the arrangement of the elements, while the coordinates from the flat file provide the positioning of the elements in the two-dimensional image.

Abstract: Devices for detecting a particle in a fluid sample are provided. The device includes a segmented microfluidic conduit configured to carry a flow of a fluid sample, where the conduit includes one or more nodes and two or more sections, and a node is positioned between adjacent sections of the conduit. The device also includes a detector configured to detect a change in current through the conduit. Also provided are methods of using the devices as well as systems and kits that include the devices. The devices, systems and methods find use in a variety of different applications, including diagnostic assays.

Abstract: An audio mixing console can process at least one audio signal. The audio mixing console includes a main housing with a plurality of outer surfaces. The audio mixing console also includes a wireless transceiver provided substantially outside the main housing and an interface connected to the wireless transceiver. The audio mixing console further includes a radio-frequency permeable housing detachably coupled to a second outer surface of the main housing, wherein the wireless transceiver is positioned within the radio-frequency permeable housing.

Abstract: Devices for detecting a particle in a fluid sample are provided. The device includes a segmented microfluidic conduit configured to carry a flow of a fluid sample, where the conduit includes one or more nodes and two or more sections, and a node is positioned between adjacent sections of the conduit. The device also includes a detector configured to detect a change in current through the conduit. Also provided are methods of using the devices as well as systems and kits that include the devices. The devices, systems and methods find use in a variety of different applications, including diagnostic assays.

Abstract: Devices for detecting a particle in a fluid sample are provided. The device includes a segmented microfluidic conduit configured to carry a flow of a fluid sample, where the conduit includes one or more nodes and two or more sections, and a node is positioned between adjacent sections of the conduit. The device also includes a detector configured to detect a change in current through the conduit. Also provided are methods of using the devices as well as systems and kits that include the devices. The devices, systems and methods find use in a variety of different applications, including diagnostic assays.